In-class_Ex12

Author

Yuheng Liang

Published

November 11, 2024

Modified

November 11, 2024

In class ex12

##Package and data

pacman::p_load(sf, spdep, GWmodel, SpatialML, 
               tmap, rsample, yardstick, tidyverse,
               knitr, kableExtra, spatialRF)

Preparing Data

mdata <- read_rds("data/mdata.rds")

Data sampling

set.seed(1234)
HDB_sample <- mdata%>%
  sample_n(1500)

check for overlapping point

overlapping_points <- HDB_sample%>%
  mutate(overlap = lengths(st_equals(.,.))>1)
summary(overlapping_points$overlap)
   Mode   FALSE    TRUE 
logical    1047     453 

Spatial jittle

HDB_sample <- HDB_sample%>%
  st_jitter(amount = 5)

Data sampling

set.seed(1234)
resale_spilt <- initial_split(HDB_sample,
                              prop = 6.67/10,)
train_data <- training(resale_spilt)
test_data <- testing(resale_spilt)
write_rds(train_data,"data/train_data.rds")
write_rds(test_data,"data/test_data.rds")

Multicollinearity check

mdata_nogeo <- mdata %>%
  st_drop_geometry()
ggstatsplot::ggcorrmat(mdata_nogeo[,2:17])

Building a non-spatial multiple linear regression

price_mlr <- lm(resale_price ~ floor_area_sqm +
                  storey_order + remaining_lease_mths +
                  PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER +
                  PROX_MRT + PROX_PARK + PROX_MALL + 
                  PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +
                  WITHIN_350M_CHILDCARE + WITHIN_350M_BUS +
                  WITHIN_1KM_PRISCH,
                data=train_data)
summary(price_mlr)

Call:
lm(formula = resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths + 
    PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK + 
    PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN + 
    WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH, 
    data = train_data)

Residuals:
    Min      1Q  Median      3Q     Max 
-167624  -37265    -415   34811  224601 

Coefficients:
                         Estimate Std. Error t value Pr(>|t|)    
(Intercept)              115703.7    34303.4   3.373 0.000773 ***
floor_area_sqm             2778.6      292.3   9.507  < 2e-16 ***
storey_order              12698.2     1071.0  11.857  < 2e-16 ***
remaining_lease_mths        350.2       14.6  23.997  < 2e-16 ***
PROX_CBD                 -16225.6      630.1 -25.751  < 2e-16 ***
PROX_ELDERLYCARE         -11330.9     3220.8  -3.518 0.000455 ***
PROX_HAWKER              -19964.1     4021.1  -4.965 8.10e-07 ***
PROX_MRT                 -39652.5     5412.3  -7.326 4.92e-13 ***
PROX_PARK                -15878.3     4609.2  -3.445 0.000595 ***
PROX_MALL                -15910.9     6438.1  -2.471 0.013628 *  
PROX_SUPERMARKET         -18928.5    13305.0  -1.423 0.155150    
WITHIN_350M_KINDERGARTEN   9309.7     2024.3   4.599 4.80e-06 ***
WITHIN_350M_CHILDCARE     -1619.5     1181.0  -1.371 0.170572    
WITHIN_350M_BUS            -447.7      738.7  -0.606 0.544624    
WITHIN_1KM_PRISCH        -10698.0     1543.5  -6.931 7.55e-12 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 61270 on 985 degrees of freedom
Multiple R-squared:  0.7424,    Adjusted R-squared:  0.7387 
F-statistic: 202.7 on 14 and 985 DF,  p-value: < 2.2e-16

Multicollinearity check with VIF

vif <- performance::check_collinearity(price_mlr)
kable(vif, 
      caption = "Variance Inflation Factor (VIF) Results") %>%
  kable_styling(font_size = 18) 
Variance Inflation Factor (VIF) Results
Term VIF VIF_CI_low VIF_CI_high SE_factor Tolerance Tolerance_CI_low Tolerance_CI_high
floor_area_sqm 1.146686 1.085743 1.250945 1.070834 0.8720785 0.7993954 0.9210287
storey_order 1.206020 1.135720 1.312734 1.098189 0.8291736 0.7617690 0.8804986
remaining_lease_mths 1.343645 1.254833 1.463410 1.159157 0.7442440 0.6833358 0.7969186
PROX_CBD 1.887898 1.733977 2.074096 1.374008 0.5296898 0.4821378 0.5767088
PROX_ELDERLYCARE 1.140418 1.080572 1.244716 1.067904 0.8768712 0.8033960 0.9254357
PROX_HAWKER 1.183865 1.116887 1.289223 1.088056 0.8446907 0.7756609 0.8953457
PROX_MRT 1.211390 1.140307 1.318485 1.100632 0.8254980 0.7584464 0.8769566
PROX_PARK 1.186122 1.118797 1.291599 1.089092 0.8430839 0.7742340 0.8938169
PROX_MALL 1.435504 1.335252 1.565736 1.198125 0.6966193 0.6386771 0.7489224
PROX_SUPERMARKET 1.226727 1.153448 1.335000 1.107577 0.8151773 0.7490638 0.8669656
WITHIN_350M_KINDERGARTEN 1.123989 1.067172 1.228865 1.060183 0.8896886 0.8137594 0.9370564
WITHIN_350M_CHILDCARE 1.387119 1.292841 1.511748 1.177760 0.7209189 0.6614860 0.7734902
WITHIN_350M_BUS 1.193498 1.125056 1.299398 1.092473 0.8378731 0.7695869 0.8888447
WITHIN_1KM_PRISCH 1.508943 1.399770 1.647930 1.228390 0.6627154 0.6068219 0.7144029

model calibration

gwr_bw_train_ad <- bw.gwr(resale_price ~ floor_area_sqm +
                  storey_order + remaining_lease_mths +
                  PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER +
                  PROX_MRT + PROX_PARK + PROX_MALL + 
                  PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +
                  WITHIN_350M_CHILDCARE + WITHIN_350M_BUS +
                  WITHIN_1KM_PRISCH,
                  data=train_data,
                  approach="CV",
                  kernel="gaussian",
                  adaptive=TRUE,
                  longlat=FALSE)
Adaptive bandwidth: 625 CV score: 3.459032e+12 
Adaptive bandwidth: 394 CV score: 3.231786e+12 
Adaptive bandwidth: 250 CV score: 2.914736e+12 
Adaptive bandwidth: 162 CV score: 2.610897e+12 
Adaptive bandwidth: 107 CV score: 2.240188e+12 
Adaptive bandwidth: 73 CV score: 1.971641e+12 
Adaptive bandwidth: 52 CV score: 1.797271e+12 
Adaptive bandwidth: 39 CV score: 1.659472e+12 
Adaptive bandwidth: 31 CV score: 1.573963e+12 
Adaptive bandwidth: 26 CV score: 1.550147e+12 
Adaptive bandwidth: 23 CV score: 1.542544e+12 
Adaptive bandwidth: 21 CV score: 1.518885e+12 
Adaptive bandwidth: 19 CV score: 1.515965e+12 
Adaptive bandwidth: 19 CV score: 1.515965e+12 
gwr_bw_train_ad
[1] 19
gwr_ad <- gwr.basic(formula = resale_price ~ floor_area_sqm +
                      storey_order + remaining_lease_mths + 
                      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER +
                      PROX_MRT + PROX_PARK + PROX_MALL +
                      PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +
                      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS +
                      WITHIN_1KM_PRISCH,
                    data=train_data,
                    bw=20, 
                    kernel = 'gaussian', 
                    adaptive=TRUE,
                    longlat = FALSE)
gwr_ad
   ***********************************************************************
   *                       Package   GWmodel                             *
   ***********************************************************************
   Program starts at: 2024-11-13 17:04:04.253776 
   Call:
   gwr.basic(formula = resale_price ~ floor_area_sqm + storey_order + 
    remaining_lease_mths + PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + 
    PROX_MRT + PROX_PARK + PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN + 
    WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH, 
    data = train_data, bw = 20, kernel = "gaussian", adaptive = TRUE, 
    longlat = FALSE)

   Dependent (y) variable:  resale_price
   Independent variables:  floor_area_sqm storey_order remaining_lease_mths PROX_CBD PROX_ELDERLYCARE PROX_HAWKER PROX_MRT PROX_PARK PROX_MALL PROX_SUPERMARKET WITHIN_350M_KINDERGARTEN WITHIN_350M_CHILDCARE WITHIN_350M_BUS WITHIN_1KM_PRISCH
   Number of data points: 1000
   ***********************************************************************
   *                    Results of Global Regression                     *
   ***********************************************************************

   Call:
    lm(formula = formula, data = data)

   Residuals:
    Min      1Q  Median      3Q     Max 
-167624  -37265    -415   34811  224601 

   Coefficients:
                            Estimate Std. Error t value Pr(>|t|)    
   (Intercept)              115703.7    34303.4   3.373 0.000773 ***
   floor_area_sqm             2778.6      292.3   9.507  < 2e-16 ***
   storey_order              12698.2     1071.0  11.857  < 2e-16 ***
   remaining_lease_mths        350.2       14.6  23.997  < 2e-16 ***
   PROX_CBD                 -16225.6      630.1 -25.751  < 2e-16 ***
   PROX_ELDERLYCARE         -11330.9     3220.8  -3.518 0.000455 ***
   PROX_HAWKER              -19964.1     4021.1  -4.965 8.10e-07 ***
   PROX_MRT                 -39652.5     5412.3  -7.326 4.92e-13 ***
   PROX_PARK                -15878.3     4609.2  -3.445 0.000595 ***
   PROX_MALL                -15910.9     6438.1  -2.471 0.013628 *  
   PROX_SUPERMARKET         -18928.5    13305.0  -1.423 0.155150    
   WITHIN_350M_KINDERGARTEN   9309.7     2024.3   4.599 4.80e-06 ***
   WITHIN_350M_CHILDCARE     -1619.5     1181.0  -1.371 0.170572    
   WITHIN_350M_BUS            -447.7      738.7  -0.606 0.544624    
   WITHIN_1KM_PRISCH        -10698.0     1543.5  -6.931 7.55e-12 ***

   ---Significance stars
   Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
   Residual standard error: 61270 on 985 degrees of freedom
   Multiple R-squared: 0.7424
   Adjusted R-squared: 0.7387 
   F-statistic: 202.7 on 14 and 985 DF,  p-value: < 2.2e-16 
   ***Extra Diagnostic information
   Residual sum of squares: 3.698259e+12
   Sigma(hat): 60874.22
   AIC:  24901.01
   AICc:  24901.56
   BIC:  24090.05
   ***********************************************************************
   *          Results of Geographically Weighted Regression              *
   ***********************************************************************

   *********************Model calibration information*********************
   Kernel function: gaussian 
   Adaptive bandwidth: 20 (number of nearest neighbours)
   Regression points: the same locations as observations are used.
   Distance metric: Euclidean distance metric is used.

   ****************Summary of GWR coefficient estimates:******************
                                   Min.     1st Qu.      Median     3rd Qu.
   Intercept                -1663062.62  -204915.89    21043.25   251357.72
   floor_area_sqm              -2193.66     1268.11     2051.64     3326.94
   storey_order                 3367.31     8114.04    10358.35    13742.75
   remaining_lease_mths         -499.92      344.73      423.01      500.86
   PROX_CBD                   -97523.35   -23153.66   -10733.11    -1318.50
   PROX_ELDERLYCARE          -256481.72   -25259.97    -5758.02    17495.07
   PROX_HAWKER               -214127.62   -35792.85   -10937.48    20129.69
   PROX_MRT                  -295651.58   -92742.73   -54888.07   -20600.71
   PROX_PARK                 -217869.81   -33139.58   -16436.09     8419.09
   PROX_MALL                 -254466.70   -34745.35     6084.76    47080.08
   PROX_SUPERMARKET          -174391.60   -42069.69    -6523.34    30961.08
   WITHIN_350M_KINDERGARTEN   -41599.70    -8649.22    -2510.79     5292.89
   WITHIN_350M_CHILDCARE      -14416.73    -2204.59     1410.06     3547.54
   WITHIN_350M_BUS            -10051.44    -1734.16      502.41     2237.92
   WITHIN_1KM_PRISCH          -50136.88    -3847.26      363.29     4874.47
                                  Max.
   Intercept                1369290.31
   floor_area_sqm              7807.37
   storey_order               26779.38
   remaining_lease_mths         722.65
   PROX_CBD                  115887.06
   PROX_ELDERLYCARE          178891.48
   PROX_HAWKER               133913.30
   PROX_MRT                  117015.21
   PROX_PARK                  88564.14
   PROX_MALL                 320250.75
   PROX_SUPERMARKET          170670.88
   WITHIN_350M_KINDERGARTEN   40700.58
   WITHIN_350M_CHILDCARE      15725.26
   WITHIN_350M_BUS            11729.78
   WITHIN_1KM_PRISCH          30465.58
   ************************Diagnostic information*************************
   Number of data points: 1000 
   Effective number of parameters (2trace(S) - trace(S'S)): 403.5455 
   Effective degrees of freedom (n-2trace(S) + trace(S'S)): 596.4545 
   AICc (GWR book, Fotheringham, et al. 2002, p. 61, eq 2.33): 24082.06 
   AIC (GWR book, Fotheringham, et al. 2002,GWR p. 96, eq. 4.22): 23420.25 
   BIC (GWR book, Fotheringham, et al. 2002,GWR p. 61, eq. 2.34): 24371.15 
   Residual sum of squares: 624302459766 
   R-square value:  0.9565108 
   Adjusted R-square value:  0.9270377 

   ***********************************************************************
   Program stops at: 2024-11-13 17:04:04.549336 
gwr_bw_test_ad <- bw.gwr(resale_price ~ floor_area_sqm +
                  storey_order + remaining_lease_mths +
                  PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER +
                  PROX_MRT + PROX_PARK + PROX_MALL + 
                  PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +
                  WITHIN_350M_CHILDCARE + WITHIN_350M_BUS +
                  WITHIN_1KM_PRISCH,
                  data=test_data,
                  approach="CV",
                  kernel="gaussian",
                  adaptive=TRUE,
                  longlat=FALSE)
Adaptive bandwidth: 316 CV score: 1.752181e+12 
Adaptive bandwidth: 203 CV score: 1.635856e+12 
Adaptive bandwidth: 132 CV score: 1.452381e+12 
Adaptive bandwidth: 89 CV score: 1.292305e+12 
Adaptive bandwidth: 61 CV score: 1.115867e+12 
Adaptive bandwidth: 45 CV score: 1.007764e+12 
Adaptive bandwidth: 34 CV score: 886240690081 
Adaptive bandwidth: 28 CV score: 859792519354 
Adaptive bandwidth: 23 CV score: 856247388820 
Adaptive bandwidth: 21 CV score: 846203688027 
Adaptive bandwidth: 19 CV score: 837013751205 
Adaptive bandwidth: 18 CV score: 8.32968e+11 
Adaptive bandwidth: 17 CV score: 834218488853 
Adaptive bandwidth: 18 CV score: 8.32968e+11 
gwr_bw_test_ad
[1] 18
gwr_pred = gwr.predict(formula = resale_price ~ floor_area_sqm + storey_order + 
                     remaining_lease_mths +
                     PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + 
              PROX_PARK + PROX_MALL + PROX_SUPERMARKET + 
              WITHIN_350M_KINDERGARTEN + WITHIN_350M_CHILDCARE + 
              WITHIN_350M_BUS + WITHIN_1KM_PRISCH,
              data = train_data,
              predictdata = test_data,
              bw = 20,
              kernel = "gaussian",
              adaptive = TRUE,
              longlat = FALSE)
gwr_pred
   ***********************************************************************
   *                       Package   GWmodel                             *
   ***********************************************************************
   Program starts at: 2024-11-13 17:04:05.074575 
   Call:
   gwr.predict(formula = resale_price ~ floor_area_sqm + storey_order + 
    remaining_lease_mths + PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + 
    PROX_MRT + PROX_PARK + PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN + 
    WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH, 
    data = train_data, predictdata = test_data, bw = 20, kernel = "gaussian", 
    adaptive = TRUE, longlat = FALSE)

   Dependent (y) variable for prediction:  resale_price
   Independent variables:  floor_area_sqm storey_order remaining_lease_mths PROX_CBD PROX_ELDERLYCARE PROX_HAWKER PROX_MRT PROX_PARK PROX_MALL PROX_SUPERMARKET WITHIN_350M_KINDERGARTEN WITHIN_350M_CHILDCARE WITHIN_350M_BUS WITHIN_1KM_PRISCH
   Number of data points: 1000
   ***********************************************************************
   *     Results of Geographically Weighted Regression for prediction    *
   ***********************************************************************

   *********************Model calibration information*********************
   Kernel function: gaussian 
   Adaptive bandwidth: 20 (number of nearest neighbours)
   Distance metric: Euclidean distance metric is used.

   ****************Summary of GWR coefficient estimates:******************
                                        Min.     1st Qu.      Median
   Intercept_coef                -1581006.15  -171939.51    51281.66
   floor_area_sqm_coef              -1756.66     1244.29     2104.98
   storey_order_coef                 3340.05     8694.76    10448.48
   remaining_lease_mths_coef         -387.95      345.32      427.86
   PROX_CBD_coef                   -98830.71   -25994.48   -13268.27
   PROX_ELDERLYCARE_coef          -256261.11   -24162.52    -4379.76
   PROX_HAWKER_coef               -208403.15   -33600.08    -8480.95
   PROX_MRT_coef                  -286216.24   -86873.69   -44782.03
   PROX_PARK_coef                 -229912.72   -33590.55   -16320.51
   PROX_MALL_coef                 -230613.11   -34395.77     -838.15
   PROX_SUPERMARKET_coef          -174261.21   -41969.73    -6414.57
   WITHIN_350M_KINDERGARTEN_coef   -41324.20    -8769.93    -2716.71
   WITHIN_350M_CHILDCARE_coef      -14658.04    -2332.99     1404.30
   WITHIN_350M_BUS_coef             -9830.37    -1271.64     1046.89
   WITHIN_1KM_PRISCH_coef          -50467.05    -4017.05      249.65
                                     3rd Qu.       Max.
   Intercept_coef                  254989.95 1307221.35
   floor_area_sqm_coef               3298.13    7300.22
   storey_order_coef                13601.43   26657.23
   remaining_lease_mths_coef          493.53     681.81
   PROX_CBD_coef                    -2433.11   93193.88
   PROX_ELDERLYCARE_coef            15099.33  166349.35
   PROX_HAWKER_coef                 25407.96  106031.62
   PROX_MRT_coef                   -18826.94   98982.18
   PROX_PARK_coef                    7867.80   86081.29
   PROX_MALL_coef                   38348.87  268376.02
   PROX_SUPERMARKET_coef            26947.44  176691.69
   WITHIN_350M_KINDERGARTEN_coef     5163.74   40243.98
   WITHIN_350M_CHILDCARE_coef        3741.74   15722.48
   WITHIN_350M_BUS_coef              2612.03   10242.54
   WITHIN_1KM_PRISCH_coef            4558.53   25817.56

   ****************       Results of GW prediction       ******************
                        Min.    1st Qu.     Median    3rd Qu.       Max.
   prediction         236762     358150     403180     460601     908355
   prediction_var 1102119980 1243480168 1328297269 1447743387 3612545609

   ***********************************************************************
   Program stops at: 2024-11-13 17:04:15.240302 
gwr_pred_df = as.data.frame(gwr_pred$SDF$prediction) %>%
  rename(gwr_pred = "gwr_pred$SDF$prediction")

predict Modelling with RF method

extract th coordinates of training and test data sets

coords <- st_coordinates(HDB_sample)
coords_train <- st_coordinates(train_data)
coords_test <- st_coordinates(test_data)

drop the geometry column of both training and test data set

train_data_nogeom <- train_data%>%
  st_drop_geometry()
set.seed(1234)
rf <- ranger(resale_price ~ floor_area_sqm + storey_order + 
               remaining_lease_mths + PROX_CBD + PROX_ELDERLYCARE + 
               PROX_HAWKER + PROX_MRT + PROX_PARK + PROX_MALL + 
               PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +
               WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + 
               WITHIN_1KM_PRISCH,
             data=train_data_nogeom)
rf
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = train_data_nogeom) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      1000 
Number of independent variables:  14 
Mtry:                             3 
Target node size:                 5 
Variable importance mode:         none 
Splitrule:                        variance 
OOB prediction error (MSE):       2283173758 
R squared (OOB):                  0.8411121 
test_data_nogeom = cbind(test_data, coords_test) %>% st_drop_geometry()
rf_pred = predict(rf, data = test_data_nogeom)
rf_pred_df = as.data.frame(rf_pred$predictions) %>%
  rename(rf_pred = "rf_pred$predictions")

Predictive Modelling with SpatialML

set.seed(1234)
grf_ad <- grf(formula = resale_price ~ floor_area_sqm + storey_order +
                remaining_lease_mths + PROX_CBD + PROX_ELDERLYCARE + 
                PROX_HAWKER + PROX_MRT + PROX_PARK + PROX_MALL + 
                PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +
                WITHIN_350M_CHILDCARE + WITHIN_350M_BUS +
                WITHIN_1KM_PRISCH,
              dframe=train_data_nogeom, 
              bw=20,
              kernel="adaptive",
              coords=coords_train)

Number of Observations: 1000
Number of Independent Variables: 14
Kernel: Adaptive
Neightbours: 20

--------------- Global ML Model Summary ---------------
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = train_data_nogeom, num.trees = 500, mtry = 4, importance = "impurity",      num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      1000 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2074009887 
R squared (OOB):                  0.8556679 

Importance:
          floor_area_sqm             storey_order     remaining_lease_mths 
            6.858004e+11             1.422012e+12             2.486068e+12 
                PROX_CBD         PROX_ELDERLYCARE              PROX_HAWKER 
            4.638477e+12             5.479231e+11             6.521805e+11 
                PROX_MRT                PROX_PARK                PROX_MALL 
            8.441291e+11             5.449257e+11             4.405820e+11 
        PROX_SUPERMARKET WITHIN_350M_KINDERGARTEN    WITHIN_350M_CHILDCARE 
            3.776907e+11             1.277977e+11             2.369706e+11 
         WITHIN_350M_BUS        WITHIN_1KM_PRISCH 
            2.184408e+11             7.997281e+11 

Mean Square Error (Not OOB): 402373550.451
R-squared (Not OOB) %: 97.197
AIC (Not OOB): 19842.891
AICc (Not OOB): 19843.379

--------------- Local Model Summary ---------------

Residuals OOB:
     Min.   1st Qu.    Median      Mean   3rd Qu.      Max. 
-290000.0  -23542.0     301.7   -1419.2   20628.4  275662.5 

Residuals Predicted (Not OOB):
     Min.   1st Qu.    Median      Mean   3rd Qu.      Max. 
-39811.32  -2890.27      0.25     41.71   2914.50  45363.69 

Local Variable Importance:
                               Min          Max        Mean         StD
floor_area_sqm                   0  93554808148  6579446660 12070756152
storey_order              40825679 175066741478  6798143080 17439613620
remaining_lease_mths     147176404 132323223994 17003264291 27856556164
PROX_CBD                  98672979  86998930774  7795275977 12420258631
PROX_ELDERLYCARE         136038143  60602086147  6363805690  9972185105
PROX_HAWKER               89375590  76470252974  5959960036 10069973920
PROX_MRT                 141134469 116981909991  7311127365 14402287905
PROX_PARK                173527329  91563243055  6282954230 12004019497
PROX_MALL                136045951 111744007681  8082912771 14856365039
PROX_SUPERMARKET         117381309  67560243432  5118831575  8420630833
WITHIN_350M_KINDERGARTEN         0  43638703821  1704409355  3939462279
WITHIN_350M_CHILDCARE     24644933 114970847915  4291790153 10498357427
WITHIN_350M_BUS           45643896  81035956654  3244648284  6333435620
WITHIN_1KM_PRISCH                0  29773426249  1919719438  3594705849

Mean squared error (OOB): 2776322474.986
R-squared (OOB) %: 80.66
AIC (OOB): 21774.393
AICc (OOB): 21774.881
Mean squared error Predicted (Not OOB): 56975707.952
R-squared Predicted (Not OOB) %: 99.603
AIC Predicted (Not OOB): 17888.136
AICc Predicted (Not OOB): 17888.623

Calculation time (in seconds): 6.7892
grf_ad
$Global.Model
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = train_data_nogeom, num.trees = 500, mtry = 4, importance = "impurity",      num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      1000 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2074009887 
R squared (OOB):                  0.8556679 

$Locations
               X        Y
   [1,] 36383.68 34809.45
   [2,] 21338.62 47402.37
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   [4,] 37004.81 41831.60
   [5,] 25924.12 47810.70
   [6,] 35028.25 39563.24
   [7,] 25902.13 48204.34
   [8,] 35278.37 43061.55
   [9,] 37789.87 35421.08
  [10,] 28913.16 28816.22
  [11,] 21412.54 46425.01
  [12,] 41130.33 35872.93
  [13,] 23611.06 46544.02
  [14,] 13259.08 35350.26
  [15,] 36083.49 42204.94
  [16,] 32651.10 41797.93
  [17,] 29230.00 44683.90
  [18,] 24362.57 32237.19
  [19,] 31283.14 34110.61
  [20,] 24020.11 46938.83
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  [23,] 35270.31 33318.78
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 [490,] 17688.34 40141.09
 [491,] 24043.92 47069.01
 [492,] 35910.22 33787.73
 [493,] 41267.78 36413.06
 [494,] 34021.51 39494.68
 [495,] 42134.16 39591.65
 [496,] 18298.50 35928.90
 [497,] 14867.58 36970.06
 [498,] 17843.38 41196.73
 [499,] 38493.81 34635.71
 [500,] 19654.10 40841.35
 [501,] 35180.45 38941.87
 [502,] 32473.77 41820.35
 [503,] 41048.42 38099.35
 [504,] 24647.12 47676.90
 [505,] 39911.60 37707.03
 [506,] 39289.69 34156.14
 [507,] 14242.46 36753.34
 [508,] 39213.21 37468.86
 [509,] 28872.79 28719.90
 [510,] 18229.37 40632.43
 [511,] 40982.62 37467.64
 [512,] 24369.17 47481.75
 [513,] 33589.03 39735.25
 [514,] 26647.46 47264.13
 [515,] 25198.12 28818.62
 [516,] 35792.24 42726.26
 [517,] 29299.32 45965.66
 [518,] 40487.06 36541.36
 [519,] 21190.09 41024.22
 [520,] 24419.63 46132.37
 [521,] 30035.91 32701.43
 [522,] 39772.93 36450.42
 [523,] 41035.53 36659.66
 [524,] 29069.90 28862.82
 [525,] 18519.26 42884.82
 [526,] 18853.77 37516.86
 [527,] 42328.64 38256.87
 [528,] 38920.38 36840.47
 [529,] 35314.93 34238.55
 [530,] 13993.19 36029.25
 [531,] 41496.99 37928.18
 [532,] 31673.68 34085.06
 [533,] 29462.59 35209.07
 [534,] 27636.66 37838.69
 [535,] 13705.68 36082.15
 [536,] 35216.50 33304.54
 [537,] 36699.87 42631.18
 [538,] 29046.77 46063.16
 [539,] 37942.18 35342.61
 [540,] 36740.40 34998.42
 [541,] 40992.34 37169.83
 [542,] 41923.46 37082.25
 [543,] 29548.97 44872.89
 [544,] 24063.80 46703.88
 [545,] 13424.79 35666.62
 [546,] 28723.43 44401.32
 [547,] 13330.93 35632.22
 [548,] 26748.42 48007.10
 [549,] 35767.41 42577.44
 [550,] 27538.18 29864.39
 [551,] 20774.98 32375.25
 [552,] 19461.03 36965.12
 [553,] 34892.03 40466.93
 [554,] 24691.24 46848.97
 [555,] 39978.18 40196.76
 [556,] 27911.02 45286.60
 [557,] 34522.78 40807.79
 [558,] 29257.51 44999.26
 [559,] 41932.18 36073.44
 [560,] 34042.36 39381.15
 [561,] 27378.44 29033.03
 [562,] 23982.74 31582.34
 [563,] 24485.40 47736.47
 [564,] 41422.40 37431.96
 [565,] 41784.73 36373.66
 [566,] 17688.27 40142.97
 [567,] 28770.22 28487.84
 [568,] 19746.36 41041.64
 [569,] 35315.61 39344.20
 [570,] 26200.06 48677.81
 [571,] 12760.48 35746.41
 [572,] 17867.04 39884.67
 [573,] 32650.83 41796.74
 [574,] 28968.79 45446.61
 [575,] 33540.12 32137.35
 [576,] 23730.40 47472.80
 [577,] 33642.36 39945.36
 [578,] 29564.79 45278.03
 [579,] 40683.42 38968.18
 [580,] 34517.13 40807.94
 [581,] 24507.58 47753.25
 [582,] 29262.58 45890.49
 [583,] 29465.70 44658.94
 [584,] 20204.22 32755.09
 [585,] 17605.27 39838.18
 [586,] 29528.05 45470.29
 [587,] 27708.33 45364.94
 [588,] 28083.58 38334.63
 [589,] 15503.14 34413.76
 [590,] 24691.65 47137.27
 [591,] 34029.11 39499.74
 [592,] 19532.14 40048.12
 [593,] 37872.34 35443.95
 [594,] 29004.07 46009.87
 [595,] 28651.09 46383.14
 [596,] 34043.16 33919.53
 [597,] 41298.05 36748.44
 [598,] 39005.32 37342.18
 [599,] 20592.50 40208.00
 [600,] 27359.85 48030.56
 [601,] 15699.23 35544.19
 [602,] 29669.72 44910.93
 [603,] 38495.84 34640.85
 [604,] 21853.87 46974.56
 [605,] 29041.22 45519.85
 [606,] 28690.75 38708.17
 [607,] 32819.50 41836.08
 [608,] 24421.48 47395.11
 [609,] 20768.16 41221.31
 [610,] 25323.09 29270.17
 [611,] 35781.97 34516.31
 [612,] 21498.76 45450.66
 [613,] 32992.85 41610.47
 [614,] 32907.23 40208.86
 [615,] 24639.05 46831.54
 [616,] 34889.02 42863.05
 [617,] 21190.43 40275.56
 [618,] 41618.66 36701.32
 [619,] 28896.75 28915.98
 [620,] 29696.31 44799.80
 [621,] 32921.68 41871.68
 [622,] 29921.71 34548.71
 [623,] 21095.72 40988.54
 [624,] 34780.42 38538.20
 [625,] 39232.26 37335.57
 [626,] 35241.02 39039.23
 [627,] 33961.82 39935.07
 [628,] 30577.42 36087.99
 [629,] 32444.30 39653.22
 [630,] 39745.71 35344.43
 [631,] 13750.59 36927.15
 [632,] 29298.43 45067.83
 [633,] 20942.84 41188.13
 [634,] 32652.50 41802.69
 [635,] 29278.66 38057.18
 [636,] 27999.55 44034.39
 [637,] 21860.41 46968.94
 [638,] 24265.20 47018.40
 [639,] 41554.94 39487.89
 [640,] 21058.19 33353.95
 [641,] 39803.10 37782.12
 [642,] 30293.30 39309.58
 [643,] 12756.21 35754.73
 [644,] 32525.74 41458.73
 [645,] 35133.61 42886.87
 [646,] 30696.87 35116.40
 [647,] 31984.33 37467.76
 [648,] 39740.39 34646.60
 [649,] 20345.00 33364.83
 [650,] 18482.56 38469.30
 [651,] 39740.21 34651.33
 [652,] 34807.14 40540.40
 [653,] 29457.97 46039.32
 [654,] 29383.70 45955.15
 [655,] 35651.30 42269.67
 [656,] 41236.91 37831.31
 [657,] 37782.97 35390.92
 [658,] 23396.04 45874.59
 [659,] 38289.57 35424.74
 [660,] 36104.22 42264.31
 [661,] 29142.62 46193.67
 [662,] 35025.66 43013.86
 [663,] 41282.88 37508.39
 [664,] 24438.29 47857.44
 [665,] 28243.47 44063.10
 [666,] 39823.25 36886.37
 [667,] 32985.21 39861.09
 [668,] 34088.51 39458.86
 [669,] 36403.22 35108.64
 [670,] 35608.25 42765.38
 [671,] 39587.90 35384.68
 [672,] 34087.63 41914.30
 [673,] 18073.53 41768.94
 [674,] 29186.10 38187.53
 [675,] 19026.61 38716.37
 [676,] 30261.83 38500.17
 [677,] 19589.63 36301.35
 [678,] 18972.30 38328.08
 [679,] 29520.45 45253.15
 [680,] 39419.38 37881.12
 [681,] 21085.60 40113.57
 [682,] 30293.13 38442.65
 [683,] 26612.78 28730.84
 [684,] 23780.28 47439.75
 [685,] 23903.58 45982.74
 [686,] 41952.87 38619.53
 [687,] 29004.36 46377.11
 [688,] 36267.00 42948.18
 [689,] 39307.35 37658.06
 [690,] 35267.29 43010.02
 [691,] 34073.44 37207.98
 [692,] 29103.61 38958.72
 [693,] 12801.38 36248.75
 [694,] 34470.02 40170.99
 [695,] 41175.79 38762.36
 [696,] 34831.35 39713.79
 [697,] 18335.03 38331.71
 [698,] 29234.36 45734.43
 [699,] 30991.94 33510.39
 [700,] 32590.42 41795.93
 [701,] 39851.87 34053.72
 [702,] 29283.84 44518.67
 [703,] 20606.38 40535.44
 [704,] 23899.10 45978.17
 [705,] 17366.19 39664.49
 [706,] 29467.37 44543.37
 [707,] 39224.59 37955.94
 [708,] 28034.20 45855.74
 [709,] 25775.67 30104.53
 [710,] 35186.26 43045.44
 [711,] 17822.73 40734.85
 [712,] 28987.83 45433.16
 [713,] 30621.14 38346.26
 [714,] 29070.25 45405.70
 [715,] 28545.92 39011.27
 [716,] 30036.66 38361.47
 [717,] 20117.80 40325.26
 [718,] 33647.65 40005.28
 [719,] 32214.65 39306.51
 [720,] 13669.92 36452.45
 [721,] 19737.27 36310.75
 [722,] 26711.17 48148.11
 [723,] 35684.26 42733.60
 [724,] 32670.93 41560.34
 [725,] 32121.40 39226.97
 [726,] 19078.78 38725.02
 [727,] 39358.07 37674.82
 [728,] 40059.24 33706.56
 [729,] 23610.82 47343.46
 [730,] 21969.11 45717.04
 [731,] 37864.06 35442.03
 [732,] 36492.31 41268.47
 [733,] 22242.62 46458.78
 [734,] 33135.60 40086.16
 [735,] 32063.52 37367.17
 [736,] 23322.44 46114.42
 [737,] 32116.18 39186.39
 [738,] 23433.06 47237.42
 [739,] 16495.04 36840.01
 [740,] 27698.21 45880.16
 [741,] 29042.58 46065.34
 [742,] 26791.71 28447.07
 [743,] 34841.96 39754.30
 [744,] 39334.52 36625.25
 [745,] 26122.59 48520.90
 [746,] 38068.15 35302.05
 [747,] 31308.85 34141.32
 [748,] 12794.15 36591.05
 [749,] 32680.27 41697.63
 [750,] 39060.58 37392.30
 [751,] 15704.80 37206.12
 [752,] 33966.44 34581.07
 [753,] 41459.60 36809.07
 [754,] 36595.87 42466.08
 [755,] 33344.80 39349.83
 [756,] 35301.68 33307.83
 [757,] 17832.99 35550.02
 [758,] 41078.52 36004.77
 [759,] 34526.88 41882.74
 [760,] 35452.26 42843.25
 [761,] 24197.33 47756.88
 [762,] 29347.68 44869.71
 [763,] 33470.36 32417.01
 [764,] 34152.37 41901.47
 [765,] 23225.89 29228.93
 [766,] 17771.49 39688.63
 [767,] 33559.75 32503.91
 [768,] 25536.55 30833.00
 [769,] 33248.18 40084.96
 [770,] 27310.44 48066.32
 [771,] 33264.39 39727.47
 [772,] 35850.35 40029.37
 [773,] 23166.59 46741.36
 [774,] 12456.35 35698.24
 [775,] 21462.03 35626.57
 [776,] 38547.24 34740.08
 [777,] 24586.91 47675.04
 [778,] 39648.44 34415.83
 [779,] 35460.59 42435.34
 [780,] 32651.83 39642.67
 [781,] 32937.16 41627.40
 [782,] 42009.93 39685.09
 [783,] 34036.54 41565.54
 [784,] 33494.29 32272.05
 [785,] 34203.29 38752.07
 [786,] 19123.11 39902.55
 [787,] 24160.71 47348.26
 [788,] 28467.96 46341.96
 [789,] 41359.99 36494.09
 [790,] 27414.48 48061.17
 [791,] 34087.02 41869.91
 [792,] 34515.81 40807.90
 [793,] 29293.35 45068.16
 [794,] 21105.50 32513.81
 [795,] 29090.46 38257.01
 [796,] 30088.33 32739.30
 [797,] 14076.75 36744.43
 [798,] 28875.56 46263.78
 [799,] 34278.44 38647.24
 [800,] 24657.54 46774.07
 [801,] 31745.86 33585.95
 [802,] 31374.86 35360.49
 [803,] 27382.74 45545.93
 [804,] 27892.91 45961.70
 [805,] 18986.48 38708.85
 [806,] 17553.90 40350.89
 [807,] 34165.99 41996.35
 [808,] 34536.74 40905.26
 [809,] 36738.72 33891.78
 [810,] 21419.94 46350.59
 [811,] 29664.12 37727.70
 [812,] 34090.50 34611.94
 [813,] 18066.96 42618.16
 [814,] 37291.50 35096.11
 [815,] 40734.90 39251.64
 [816,] 27544.27 29859.02
 [817,] 12524.00 36541.91
 [818,] 39374.80 39708.85
 [819,] 40703.78 39105.12
 [820,] 18648.86 41794.08
 [821,] 30037.23 32700.94
 [822,] 18069.26 42620.88
 [823,] 32396.16 32954.31
 [824,] 27982.36 29778.25
 [825,] 21241.36 45415.64
 [826,] 20563.60 40938.81
 [827,] 21854.16 46229.96
 [828,] 23695.57 47494.31
 [829,] 32098.04 37326.81
 [830,] 35888.77 40140.88
 [831,] 18504.00 35911.77
 [832,] 24180.72 31430.78
 [833,] 28629.40 46915.94
 [834,] 23725.49 32409.37
 [835,] 12679.15 35709.46
 [836,] 19758.02 40939.55
 [837,] 35707.75 42605.64
 [838,] 26431.74 48218.69
 [839,] 12984.76 36476.35
 [840,] 21133.24 41243.92
 [841,] 35569.37 33704.73
 [842,] 29324.37 38740.49
 [843,] 39472.53 36563.04
 [844,] 18591.09 36403.43
 [845,] 38976.85 36680.60
 [846,] 35657.12 43563.20
 [847,] 14165.56 36801.13
 [848,] 28830.97 46304.19
 [849,] 30652.40 34234.00
 [850,] 28850.70 28925.34
 [851,] 19729.29 36998.52
 [852,] 41548.78 39482.66
 [853,] 33518.46 33797.01
 [854,] 25429.97 30890.09
 [855,] 35563.85 43393.49
 [856,] 18337.70 36897.94
 [857,] 13020.95 36403.92
 [858,] 32782.20 41705.29
 [859,] 21153.07 40052.33
 [860,] 34615.06 41212.89
 [861,] 40423.11 36705.86
 [862,] 28745.44 44632.61
 [863,] 34929.10 42855.48
 [864,] 23514.94 47202.49
 [865,] 19649.86 40896.13
 [866,] 34027.82 40026.11
 [867,] 29698.40 45404.56
 [868,] 34552.96 41792.27
 [869,] 29086.05 46162.55
 [870,] 13293.69 36537.51
 [871,] 24249.65 46151.39
 [872,] 28887.04 46162.49
 [873,] 26057.45 47928.97
 [874,] 32590.40 41800.10
 [875,] 24632.00 47760.82
 [876,] 35542.23 39997.27
 [877,] 18965.89 38391.39
 [878,] 36697.81 42387.10
 [879,] 32152.60 39523.41
 [880,] 20829.48 40699.44
 [881,] 32277.16 32823.18
 [882,] 36491.54 41267.82
 [883,] 15151.75 37263.36
 [884,] 28495.33 44463.47
 [885,] 37101.57 31781.20
 [886,] 36395.53 41484.13
 [887,] 36018.63 41496.21
 [888,] 17875.37 40416.99
 [889,] 14097.56 36475.83
 [890,] 17299.98 39828.86
 [891,] 23368.33 46366.78
 [892,] 40419.67 37688.76
 [893,] 18659.47 38397.49
 [894,] 34406.65 37449.98
 [895,] 29534.33 45416.86
 [896,] 28403.24 46692.63
 [897,] 29831.84 35213.98
 [898,] 18070.83 41766.23
 [899,] 42255.19 39489.62
 [900,] 32994.85 41757.01
 [901,] 26654.35 48319.31
 [902,] 23818.41 45829.02
 [903,] 32350.50 32901.91
 [904,] 22340.05 32049.60
 [905,] 22241.57 46546.29
 [906,] 12396.96 36584.71
 [907,] 30812.72 34181.70
 [908,] 32649.66 41800.47
 [909,] 33685.81 41501.71
 [910,] 12959.01 35614.73
 [911,] 36049.72 42918.38
 [912,] 29435.74 45982.81
 [913,] 17434.97 39816.03
 [914,] 39652.67 34806.32
 [915,] 26259.08 48637.18
 [916,] 25206.31 30707.44
 [917,] 34515.26 40849.30
 [918,] 18517.23 42051.47
 [919,] 29241.65 46111.40
 [920,] 30527.86 35991.72
 [921,] 33728.66 39060.12
 [922,] 32807.06 41320.34
 [923,] 30015.18 32651.09
 [924,] 29324.44 45627.79
 [925,] 14078.54 36746.15
 [926,] 20727.54 32933.69
 [927,] 17782.99 40177.35
 [928,] 20948.33 32417.15
 [929,] 18737.16 36581.92
 [930,] 35165.49 33257.13
 [931,] 29601.97 37894.04
 [932,] 26089.21 48566.42
 [933,] 39938.44 40173.44
 [934,] 42286.78 39227.30
 [935,] 29003.40 37628.67
 [936,] 36497.79 41264.42
 [937,] 13539.24 35712.97
 [938,] 40703.01 39111.58
 [939,] 33192.93 41388.61
 [940,] 39844.73 33840.59
 [941,] 39824.85 36502.43
 [942,] 33138.57 40081.66
 [943,] 20655.07 32815.88
 [944,] 21856.25 46224.61
 [945,] 28823.79 46228.91
 [946,] 38384.50 34989.26
 [947,] 32853.87 41722.31
 [948,] 35790.67 34687.01
 [949,] 39192.72 39739.55
 [950,] 31632.52 37364.43
 [951,] 26016.08 48559.55
 [952,] 31077.97 33700.46
 [953,] 23460.24 47159.01
 [954,] 32520.96 41458.11
 [955,] 41300.56 37686.25
 [956,] 29008.22 45759.85
 [957,] 29729.16 36635.39
 [958,] 35589.66 43608.34
 [959,] 17785.70 40180.00
 [960,] 18292.44 37103.41
 [961,] 29405.80 44583.80
 [962,] 29009.56 45466.51
 [963,] 28883.86 45457.73
 [964,] 38504.75 34591.99
 [965,] 39333.94 39677.79
 [966,] 21093.85 40988.59
 [967,] 33834.87 39514.23
 [968,] 27250.00 29460.55
 [969,] 36134.82 43103.00
 [970,] 41704.87 37524.47
 [971,] 38672.48 35018.94
 [972,] 21179.70 47251.62
 [973,] 29920.47 39339.74
 [974,] 17342.94 40358.94
 [975,] 33508.94 40099.54
 [976,] 23139.10 46584.05
 [977,] 34934.74 40630.16
 [978,] 23533.79 32396.65
 [979,] 36346.04 43086.46
 [980,] 27313.58 46120.13
 [981,] 21332.73 47195.04
 [982,] 25212.17 30634.77
 [983,] 20856.04 32487.23
 [984,] 28057.04 44888.37
 [985,] 14243.26 36750.41
 [986,] 19303.22 39999.03
 [987,] 19150.48 37197.27
 [988,] 35211.00 42467.22
 [989,] 21027.37 41124.29
 [990,] 36613.41 41216.78
 [991,] 13993.99 36075.02
 [992,] 23923.64 46828.11
 [993,] 32848.10 33170.48
 [994,] 42012.47 39689.33
 [995,] 19276.96 40190.83
 [996,] 36755.86 43100.19
 [997,] 32138.17 32971.43
 [998,] 29857.35 38415.07
 [999,] 27554.30 29417.98
[1000,] 17988.22 36490.90

$Local.Variable.Importance
     floor_area_sqm storey_order remaining_lease_mths    PROX_CBD
1        8121029326    201569484           6416791120   726070599
2         140042291    232428037           6942688663  4202672428
3        1040394243    486878434            496172900  3197998529
4         497565441    469698825           1202216740  2409244340
5        1647252298    394723626            339917611   597888072
6        2080585215  12859545744          24900616105 17818600946
7        1561794782    291372834            221338207   809071881
8         437052804   7028446070            922702215  2008301484
9       58303078995    395324439          68010441665 22637761009
10      68560772235 153076117197          78384683918 21901624110
11       1899096061    934873098           1538225933   729909448
12        950251342    356621029          10124460781  4080218916
13       3903375264    562832352           5086960081  2998297322
14        310409146    216274503            915159073  1198681771
15       5680289378    383067696           6196675256  3192413901
16         73016200   1110165924           1306140130   843903204
17         81080470   1788795532            348069420   430592846
18       8662794060  69041903102          98987607630 17999478086
19      13858263066  11146496974          13986861209 23724754884
20        390559874    302720794            555365040   176989312
21        868238734   6321513399            575764699  3087009307
22       1215284834   1564480950            371560487  1212886780
23      15410678609   2446893621          47403485666 62462724251
24      18135321956   1527530558          27006899241 21674138956
25       1814363020   2402399339           1052464044  2603493431
26       1862272674    406637139           1152948237  1357508114
27        235607456    707419264            906224283  1381783320
28                0   3515381196            908996616   768636153
29      10478920809    349061859          11151348554  4534925913
30       7952661045    256600693           1396236418  1691281013
31        619694425    134695858           3520884112  3740307420
32        889074367    587168583           2467198254  2144543308
33       1493184590   1820613689           4009722492   811372032
34        649810586   7712191935            499324800  2953818098
35        429283418    159222565           3381438391   772323428
36        485778958    538021494           4552944840  4036095400
37       5296963680   5923494270          12401287269  7549145450
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721      1273378591    201939771           2138028355  1589400658
722       463415691    287667771            830186536   644763672
723       925682318   4285257575           3282527447  2572383299
724       680031597   7854321963           2052980092  6351268910
725      4191032705    238331095           3729090994  2745778617
726       642907928   2426365016           6747883926  3102746933
727     11983494665   2391943284          12725565266 12439390392
728      5745279319  20167810544          38763771384 23862197822
729      1517350502    135143283            285169070   405011597
730      1689161348    480323755            833390695   544431958
731     57599123917    266326921          72211232606 22897065059
732      1052350701    920175336           1412619815   622790376
733      2106450094    690392700           1881278476  1102763337
734       639815699   1698155244           5909960279  1327708308
735      6356055396    661558168           6906420783  6476564545
736      2713883321    514100631           3309512847   402740486
737      4054094383    405195766           4817044831  2036463785
738      1241385631    101596560            447903475   409077199
739       961460268   9481564674           1839390120  2139785573
740       188823391    487551766            488593966   498219037
741      4393866554   2981428936           6593586288  1016089676
742     20355668572   3062116567          44654854497 48055295680
743      3922841304   5700416219          15982151976  7603150197
744      4686954364   3669073623          12655089822  4754555488
745       863958557    232509239            265248312   763861115
746     48014504943   1008929055          56846290214 39809098633
747     15417326278  11119798659          15272148364 23113592294
748       323384850    101605187            547097960   320987078
749       169533946   2131730475           1521055755  2080161986
750       470154829    979965649           2022566634   629121923
751       486643292   1765569546           1575034746  5837694023
752     63999664458   6203260034         115858658728  9091821950
753      1164816326    586517490            907326335   770748821
754      1176219928    508795128           1377619946  1585605154
755      3671451333    131525835           1901198101  2210263972
756     16120939724   3755119265          46896053158 56286863732
757      1040148415    431722231           1816928490  1426812417
758       616553938    381260320           8664271862  3179623434
759       855670124    821510524            909991119  3147998447
760      2178508805   6209580420           3188939548  2854172991
761       747391295    201212266           4196544688   325141973
762       661610415   1173701062            619110441   273169914
763     29540599673  10163690884          73988650120 42973589364
764       960925559   1036209323           1257009172  2595648305
765     38250496299  14577882927          46263244192  2638153081
766      3727621307   1577228403           3917886833   914401856
767     46426643639  15489161299          67273566393 46874437241
768     20509941531  21408576234          96687533268  6723237339
769       610120317   1411547802           4401230499   948220373
770       273135033   1402531527           1645281293   497728220
771      1379742831    823922452           2535284222  1177982278
772      2020574933   8435747436          17124883375 17875947989
773      1344250259    283608981           3929770597  2043636376
774      1213438306    131924853           5320335315  5059464123
775     46130977582   1218856331           4846494490 30478755677
776      2449480334   3144142453           5957296886  1642899008
777       456814579    167101133           3036717147   811128093
778      6568108413  17497533021          67393106405 32236728734
779      2111105206   2087183025           1615004161  5735400220
780      1889910675   1570613165           3291345656  3035727747
781        24030728    781100660            276055601   214510705
782      1446993620   1930164572           1115643682  1021188758
783      4141222051   1237080134           2647985988  3880676319
784     32439021348  14870796043          81786897934 39190394244
785      5781244350    588410612           4647522371  5927642681
786      1368743451   3312088972           3649241480  2552490064
787       334504583    280253141            164674345   468533096
788      2843117648    534792079            899593807  2790633356
789       852566193    416114511           2457378877  1682642290
790       641038199   1386861255           1651982810   530105438
791      1447914110   1202471549           1564683571  2967730530
792      1210240014   1924003590           8778299176  6110201126
793      1477585731    746451409           1148238198  2325899740
794      6166789733  45952955169         107423889874 17574758016
795      7098711040  21073656472          36856181284 16015946892
796      5684289740  10745157014           6245925084  5017047948
797       223148723   1050435652            575658702  1512200376
798     10297897642   2718122284          14361428172  4305015985
799      7191598167    699810010           3897069783 10832738099
800       152598185    654843739            709284476   192816708
801     18878643183  11330203668          31368675205 37255652615
802     16428227341   2893140789          35106201112 11322255238
803        63616765    353493081            756789548   148100236
804       628211051   1120321930            429426451  1208109367
805       774258976   2664753028           7312912777  2672877081
806      2226462211   1937833714           1064145947  1065645467
807       949799055   1275578300           1229429938  2450230155
808      2311208770   2012112612          14473044352  9471455320
809     28366934020   1012987821          57470520914  8461219071
810      1797812917    922945654           1332757885   529459100
811      7055639970  21178393392          25656578654  2653245440
812     57851120722   5412923354         130084180747  8916570874
813       495112702    152283915           1280492017   650119936
814      2553620645   2198064229          61952895287 20064157137
815      7665270400   1903587404          10318972296  2626088013
816      7644235844   9697290504          47202634573 37195404759
817       703539573    400590025           1571067064   328952145
818      2327283854    723908598           1903310381  1006012264
819      7564329289   1666296682          10809839941  3122470777
820       532652411    476474347           1153810749   563576328
821      5713517328   8400581569           5966923399  6361702375
822       607212082    227783195           1314391545   744000246
823     26980580153   5712013083          45487002378 15352834015
824      7672418753  14713666259          34195608897 11362031318
825      1496899362    378296495            504288575   548913839
826      1795464235    656407818           9506790108  1058053572
827       905279801   1156726758           2333924023   352079978
828      1509374045    158355680            308549998   474065286
829      4498625507   1059640755           5431222357  5885513750
830      2260001949   8395317388          19206004341 19609753809
831       793914836    466599314           5016654476  1585410599
832      6333102599  61013673479         116185945510 12826300513
833      1020556578    558396304           1070332494   675513992
834     15564246528  66873977482         105051010444 20871557791
835       723131623    192272873           4573875847  3881575705
836      1737338872  15034059598          15009029731  3652038593
837      2550600223   4205440347           2813845505  2550375884
838       879096255    151357317            175432925   543379681
839       771167312    154940718            818419780   638733921
840      3811513325   2142769605           4447885040  1025280387
841     15346314197   3005372324          62933868873 86998930774
842      2451631155  13511786354          38152513005 26844900255
843      3634921441   4537290745          11697077568  3792864729
844       896075512   1592595032           6917385807  1323677660
845      4988276796   2699296309          17675377012  3436676903
846        56197522   1385189361           1856609897   787800253
847       299180332   1516223817           1078874956  1341172791
848      6043483089    792226234          12858880017  4258773408
849      9412498218   7561909070           8382047653 12693051221
850     64774827197 157595408960          85174580895 19852321005
851      1946260644    158151394           1757000401  1742033191
852      3169078530   2974966275           2500028406  1025629350
853     64097277742   4979198700          95117554604 17114838173
854     29808279409  19438118216          87552746542  9814109315
855        40568526   1996895938           1880170622  1740451830
856      1371234822   2480938523           3215580823  2890958672
857      1143616025    150109865           1792511476   758088735
858        35637980    846843428           1005943295   366829976
859      3304729394    571633053           6325444084  2105864956
860     11982848670   1670634710          17264507426 23145632469
861       159127755   1723527259            329726618   382804514
862     12535931390   1145113059           3039856331  3459301235
863       587737250   4709364242            590155990  2487136864
864      1038662962    106981898            419357756   332286032
865      2189855062  18238850914          16979322383  4978153847
866      2207969466   1841362959            655086966   716220975
867      2537825401    243738430           2055855918  2000869809
868      1148261773    769077569           1883479040  2893816153
869      5962684818   5144113088           5867917241  2086782156
870      1820713241    223339699           1694426221  3888230523
871       447909264    132301246            412820332   178561145
872     17054185194   4054733519          17770500095  5084287003
873      1566948592    323147202            325816375   651833877
874       108368897   1466021481           1565238259   902735702
875       539723305    158304858           2451640193  1006211874
876      1947389739  11701008352          20275384499 18758068122
877      1786474879   4889798047           9019089866   631013477
878      1244872473    670665148           2029344143  1840270853
879      4443675939    741390176           4691937946  3751931197
880      1189271475    401632210           9329998174   720364309
881     35919302428   6546721205          42534538383 13593549938
882      1518694261    832842518           1155446294   527830808
883      1903814954    817136107           2724435108  2917134012
884     11175389614    290460192           1563144539  3273328267
885     10315597601   2709598509          59367636863 21359687356
886      1593744714    808139708            893880939   607854892
887      1715084029    366521033            698081354   517536128
888       915370764   2150154415            688423518  1301638646
889       476803580   1250709739            825452414  2087662806
890      3338242970   1164958528           4328572577   595972028
891      2921080812    519034346           3529710633  1138627102
892       630059545   1658904543          29263962122 34358186757
893      1410987307   4185376583           7782168498  1269354664
894      6824309349    431965025           3406466690  1748231879
895      2266721410   3054715257           3654005500  1477204135
896      1696948481    566919013            755770376  1914875416
897      3290936591  51119463840          78375812240 26985591854
898      1076069823    290974225           1597883066   647852262
899      1236507449   2081585115            978575396  1343664236
900        32286645    492905916            296447992   174856463
901       401410125    177974003            718555151   480144086
902      1634361152    291946311            756877918   919959799
903     39418735448   7282566139          43522588434 18558780461
904     31333585807  34547219971          90782923074 15131303145
905      1863477011    849529935           2012718315  1318735078
906       552418358    326834292           1557567288   354403527
907     12948499787   9490763324          10256620135 17679125654
908       143966466    936364205           1221926998   682253449
909      6346670711   7205491651           7815721096  1240001770
910       523050471    114591173           2615116101  1918871239
911      6944910065   8468955555           7065566843  2112037965
912       157901101   3790421271           1536506821  1574130195
913      3815111089   1679486027           3766656038   446621152
914      6817138327  15043864829          42590835334 13303292540
915       975380515    233374268            296440538   662750810
916     28861528615  22223991361          80866426701  9100906228
917      2361071655   2205148351           9549221692  8713540797
918       614921841    247948151           1190978504   790351996
919               0   3071268293           1018890525   620384102
920     22266133152  15412501565          70442363528 17874984522
921      2391152210    280815948            511067422  1175832980
922       833214760   3535654038            436336502  1036776153
923      4871793136  10755979120           6531774959  6481651357
924      7310861058   6971625665          12505838740  3719263133
925       273199061   1062493906            473449192  1096390378
926      7286129445  44584088765          82450671408 19656304737
927      1189626728   2227553302           1178071417  1235998000
928      6878699899  44442333530          95997501788 18566813339
929      1732405051   2403725853           5151466499   980999368
930     12092220039   3405341451          47882648431 39505693866
931      5950161165  23066027810          24678045652  2686606421
932      1096896889    214906108            208535928   740676188
933      2632768818    870897661           2832410790   792776419
934      1106051070   1920768737           1185113176  1707014780
935      5583374111  21278305525          22044923347  3644320951
936      1432307913    923844746            950007826   624531873
937      1438868859    418020234            921302071  5094229226
938      8882871798   2429840392          11390425526  2616048040
939       144300300   3256408871            798665027   283613832
940      4536350305  23406756561          58433563318 26080503714
941      1820249706   3262846537           5022236168  3112764080
942       552405372   1105603706           5078224479  1309940083
943      5119722794  55846460651          96617281598 19574775763
944       886074009   1090030659           2194330395   384044644
945      7096289212   1856001003          15955890452  4591566805
946     34146717160    515174802          26797963446 13273508016
947        37542273    995926434            561669713   191599434
948      6876213728   2424796061           7544857522  3656849974
949      1540527894    810259608           1490350100   627324304
950      5874679003    834764890           6015677142  4007219818
951      1038127371    247137430            165521039   921756545
952     19709100746   9797440148          11341342810 18554833108
953      1118286044    125063590            606153681   524082331
954       422043349   6926806161           1940856428  2023110084
955      1749329539    729251656            680907830   194310126
956      5823131575   4265189045          11887057071 16428576595
957     12011448124   9162026551          42231719968 20346905286
958        62643319   1209821015           1912573847  1085033169
959      1363821841   2006526591           1209079538  1238310057
960      1544924285   1733719443           1950117151  1584675102
961        55637294   1551062384            404176756   553008538
962     12710989586   2998118995          34724548022 39449233024
963     10688419084   2476012764          28517690484 35123107549
964      7022084407   9498332898          12093601496  6569247911
965      2606725372    848732756           1736327352   571547996
966      3287248661   1467455288           6200461664  1430579888
967      3802883884    851080122           1174493490  1699848806
968      7317038241   9094637720          46676932305 43827577193
969      3363597115   5848191737           3081953548  3022826879
970       835539840    166468414            501684575   193949826
971      2721617965   1137421873           4268456326  2844153235
972       125362319    339405853           5196264453  3807827880
973     34261515767   2325807940          50004429932 24340810270
974      1852201443   1507954376           1517766999   876642812
975       961905725   1163640439           2333620880   653341432
976      1707531054    230617490           1923304077   611786831
977       606002642   2790562553           3010540502  2044335387
978     16938154034  62571856673         103687963382 14957400935
979      2392539769   3713364223           1364106810  2251825082
980        46235151    716095964            196529357   231069969
981       251440213    456265570           5954770654  5149605773
982     32206212466  28694192196          90091286736 10087741261
983      7627554026  43346729382          93874973029 16359495676
984      3462656882    158813447            883268663  2165807394
985       528401666   1357475235           1234467161  1389899788
986      1866439713  10049394535          20842685538  4697996942
987      3008580097    185575043           1419919077   372288819
988       394416034    429866083           1260351118  3340744940
989      2285935134   2014110312           3871979678  1211978001
990      1363659913    869523067           1033061043   695836306
991      2594289003    280431797           1886945680  2992456140
992       376200325    129503941           2192460981   273215164
993     29171458721  10512207358          90910441918 39130744530
994      1422379337   1986992184           1082896210   923769682
995      1549609355  12617181217          20014140155  3598889029
996       194218615    727596274            770346581   425457253
997     35658424873   7302587619          58431935772 26014500713
998     28022285270   3663208099          30420204840  2233405669
999     11295036752   9976550518          34925021679 35574384459
1000      517904351    734380658           6089522671  4648594567
     PROX_ELDERLYCARE PROX_HAWKER     PROX_MRT   PROX_PARK    PROX_MALL
1          3511980317   684585350   6583691492  1782318951   2970999645
2          4285135968  1001547982   1048931231  4117996256   3433023459
3           546611995   571332446   3964597871   572798795    916298110
4          2696151512  2680047036   1612318180   413727159    977825620
5           740089091   672531906    809362626   571250495    698813556
6         33397093688  2734673681  33899963947 36911378063  33385324283
7           534893439  1181711168   1259628678   348672208   1045974255
8          3114574952  4104295824   8812354438  1259398364   4898119608
9         20190447539 65572288077  18570651429  6846964054  19314655277
10        34108958907 24045975046  15348405768  7828410769  13324799617
11          451103318   278929539    839435333  1279064614    782132513
12         6309426982  6840803026   1712968583  4768615340   4833804719
13         6697936846  1473631378    735524436  2056777485   2330581293
14         1180722018  1185971891    791279462  1269664215    783588291
15         4416627089  5933930159   1922566943  5230772300    411873852
16          436915511   393786960    593079964   542829942    597450642
17          401037153   314200252    410332742   327612270    610275280
18        13743622802 10725287506  10489885429 20452185530  15937283494
19         6174336686 22894474068  15202846775 13104189793  18165031467
20         1038457374   381514406    587175150   628786774    474943239
21         3804569948  1384706011   5402079517  1633067749   1589786320
22         1412395127   439632912   3021776333  1121002416   3842377742
23        22464373507 23791041671   3779724592 52990794667  65226724520
24        28198614316  3605404089   4089161632 18589100726   3188313680
25         2265068293  1557968900   3169681322  1115196528   1049098347
26         1107153776  2006209536   1596480510  1286734816    710994991
27          969004660  2159437272   2348351048  1893987170    364710084
28          371744704   473908208    270447352   302529509    300465608
29         3586680077  4861074898   6728146599  3358626578   2364598244
30          843776711  1844908957   3085953523  4528789351   2728471544
31         1414913253   698146475   2293832950  1435380861    645565693
32         1867558752  2076522236    961383238  2379247953   2134637636
33         1397036260   562434076    508446762  1877954658   1346811070
34         3366804706  4458100097   7947127958  1951313368   3427418170
35         3127221185   852225518    894411880  1648495781   2750478211
36         1002012160  2441511206   2513532298   734463013   2891323421
37         8201850856  1767623392   8172813631  2254933213  10988039748
38         2829954649  1862810293   1669399607  1331252743    743573558
39         6027792372 36912615411  21433025130 56924574655  28258528033
40        15899230800  4359104421  12932368923  2643559061  14565388870
41         1219682435   703785974    674809339   472672356    761672902
42        23518376460  2362725092   8071722373 20667089378   4521676338
43         2803317728  3214788046  34070821793  3589139160  19879259699
44          543677742  1563212295   2228783123   974839491    842322829
45         3311953584  2060872598   8134625741  1905071596   1894275156
46        29079830862 26917866797   6754775207 38783789107  53052918035
47          727226449  1624937578   1408384973  3088890554   1051475648
48        14032039894  6424145636  54792884302 14472572324  56467516235
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890        4079614854   964989216   1224637638   572667570   2843535173
891        5630794210  1377114390    895483997  1258473277   1465927052
892       38041760108 26765747037   1983327473  3771742098   8903515252
893         402528537  8058126176   1056759348  2466059048   1614094695
894        3285615503  1410115460   8741491496  1794626469   7941138464
895        4503268448  1953806321   5330193872  4055416278   1061753803
896         561423328  2056136340   2808286553  1333553015    954819165
897       21299688044 14538636745  21527859956 18841308989  15167018789
898        1192243184  1274083588   5012241386   421028333    656477180
899        2399205454   520631753    387162978   457019721    482856986
900         300413394   162609141    603688877   315683096    509608200
901         386920745   238185842    326105723   495900127    314170992
902        1066873672   808012726    383429594  2081375327    300607399
903       13646669333 20458217599  31208952227 16721111738  14514767176
904       14372245513  8152337838  13515241157 15376335348  25870733351
905         799283741  2325022021   1387364235  3281217263   1393284732
906         242626256   814871594    915806588   501178136    475177705
907        4311873206 13684854078  15185887544  5762275363   8382728847
908         323588165   404164330    679202531   593172470    628848281
909         776553303  6903835705   1075010773  1289492675   3145944755
910        1627426559   632606445   1324787363  1706196080    472839835
911        1443330364  2455203758   3045991527  4023770092   3885305015
912         756298949   836098910    282968998   373117916    411134916
913        4220273210   847657245   1143042792   390795239   2827268661
914        3462286314  3501402712  30189182162  2741240117  12399110770
915         320116680  1262060033   1294190401   300749058   1250125326
916        8006870908 48116858303  21511203585 43474985923  32701638341
917        4083286677  8485995170   1569443311  7806511127   9969299380
918        2238031968   670343734   5646562879  1306090718   1295045944
919         341181730   417950170    367459545   349414842    383517837
920        6934940073  5665743019  10876618283 10603054892  33570848151
921         399268983   356082405    559258713   977865966    406159322
922         785002852   962980556   1409814840   412970301    910643081
923        4242308899 10308553041   6386170745  6726559959   4896111721
924       24564865773  4529107375  11875138915 17884706933   4354471595
925        1105202986  1373511481   1276771502  1083997209   1274417795
926       49990471882 11688729299  15350188128  5216503696  12590657397
927         641195728   953928960   2005613480  2015024959    745980922
928       46031636971  9023777743  18697029186  4746623978  15275385014
929        1394954258  1300669730   2175039778  1235492855   3012958058
930       20083546728 29009484046   3722937066 34899029113  66201368776
931        3716693747  5251903465   5047710139 12076898091   5239201836
932         469965487  1540030592   1409901114   282488920   1227911537
933        4616513707  2682713243   3225616495  1724264939    533479819
934        2716069681   777327038    396961498   528796332    670973728
935        3475700718  4260255966   3736181045  6488588560   4782428032
936        1136426454   464789127    605801323   700091880    656245719
937        2600774901   874411170    489473718  2341043630   2896596981
938        1521561465   658297972   2642200553  1204833431   2159407571
939         321069508   290176227    861860839   937337590    382724905
940        1968924578  2994956242  47681238197 17079423089  52583881269
941        1090029126  2788373863   1028861668  6271185483   3413350060
942         771735989  3619323600    267768591  5862787335   5384340338
943       38735157826  9180835914  17051545875  3981613332  10557417698
944         429104698   739914609    617422915  1923311377    645359651
945        5626612084 13235346646   2721291821  1348980483   1264829446
946       28037580613 28893318684  11683409854  3605149420  33817989219
947         376182472   182726459    844348081   304920083    882799326
948        6444156658  1527834270   5289084761  1612531102   5414865168
949        3001008620  1298611685   1658141798  1154991552    714256180
950        4837606839  2660068004   4104276553  4354990028   4302615545
951         495493948  1089315916   1649066024   374303516   1434028682
952        5713598039 32849238854  15052617724 10576239804  15403104662
953         379742314   280558979    534622086   247623459    472124436
954         606720432   861919531   1197677638  1003887453   1052588983
955         714203224   377565539    403348321   835382767    299231881
956        7500300912 17836658712   7042820785  7137504236  19882049739
957        4313116337 16940113215   7307028340 11589843978  35542240180
958         836674626  1683784893   1563207043  1666154231    582561794
959         768411252  1031502707   1738308048  1794217514    704623194
960         693265716   943721117   4727410725  1003638602   4007855832
961         396487735   697405603    456712478   423036875    652131142
962       10932398712 17215354536   5246602167  8907145931  18510205276
963        4606993202 27666634893   5932516014  5965426920  26971651505
964        8413514049  1174752509   7470925380  2077279754  12673452271
965        3794380582  1810879923   1908039206  1406557341    802414588
966        1978854420  1858996633   1057183778  1663829185   1220952632
967         461242626   404542007    385847276   975913014   1091920443
968       50708661099 16883842910  64995642051 16095992133  77364663904
969        1096823316  3902652904   1892273347  7338242778    954455627
970         606328830   356167756    239272634   388018614    177514959
971        3570541407  3950105929   2154867971  2478377858   4088758509
972        1773558715  1070728430    859670302  3943519781   3891446615
973       28629832106  8698795990   4509277531 50894953213   7853322292
974        1827008891  1566120906    975357515   655349073   2424579118
975         661428430  1689365541    257795400  1122757482   2507111670
976        3644740395  1836719082    658868886  1683559977   1702663665
977        5655848608 10092866963   1071084685  1284339520   9584965866
978       30334008770 10607408061  14206635370 18121729090  13515268610
979        1737560659  4211632670    933898997  3120011369    581236904
980        1247630814   268700808   2194316275  2260307146   2290787830
981        2323676635  1004731812   1193219611  3567660494   3481452694
982        7529459195 37233880172  20672882196 53497037185  32550526298
983       42557958037 12716699895  17992312735  5476932537  15164980522
984         783147896  2601751976   2169719164  3006766292   2287191712
985        1273946662  1066041099   1485836028  1014418620   2255343394
986       16819270709 15458545766   1166771714  6000313726   9488361368
987        1920875747   415797276   2291611633  2095382191   2308930873
988        2063160890  3688867875   2532762217   919735141   3224471922
989        1373534590  1164796506   1007902801  1471028890   1406094036
990        1267902433   459509929    506197031  1018151289    517891445
991         570091114   817114069   1136447623  3308575839   3502875389
992        2352305976  2574254042   1750792909  1299492695   2413718928
993       26097467611 21396123160  39463863490 10025635016  13143562018
994        1603537860   520648525    293609748   494053197    533966370
995       16993141636 15154930466   3260514308  7205400234   9490416370
996         677378733  1771002616    506199495  2182115751   2404141820
997       15128902955 21168528596  26867442116  9114523744   8769346100
998        3239745176  9092924074   3070401028 10537105819   3709454198
999       44752725524 17532849270  71490873585 22786859130  60400804435
1000        998798637  3344756795   1864633748   724588165   2790568889
     PROX_SUPERMARKET WITHIN_350M_KINDERGARTEN WITHIN_350M_CHILDCARE
1          1555943565             3.092365e+09            2322504352
2          2375833911             4.561280e+08              60374457
3           687809329             1.304305e+08             225565639
4          2884449567             1.567983e+09             618974446
5           486262313             6.382357e+08             197147436
6          4587842753             6.807387e+08             439717736
7           374908757             4.255849e+08             181561005
8          1118302645             1.094982e+09             608566912
9         48915904782             1.004017e+07           13178921118
10        22374781122             1.373520e+09           22791191581
11          873093104             1.702249e+08             164412750
12         7089990008             1.022155e+09            1032277276
13         4918952246             1.549717e+09             297158854
14         1720151194             2.671064e+07             914207275
15         1042957720             1.569360e+09            1866190757
16         1006376748             0.000000e+00             250234320
17          451689559             3.432989e+07             418755126
18        32034996928             2.372870e+10           41690414632
19        25195889412             1.370356e+09            3871308597
20          836822603             1.239556e+07             235878000
21          857250408             7.682172e+08             809816487
22          633711569             2.306816e+08             134215222
23        19177844566             1.582877e+09            1895532360
24         5662875915             2.986993e+08            4958486019
25         4603147518             2.120834e+09            5253140364
26         1373950488             3.613118e+08             417348517
27         1792710773             5.595460e+07             402909708
28          408404372             6.434105e+07             331533329
29         2221845369             1.086081e+10            2098137988
30         1573365462             2.959740e+08            1959338233
31          674747051             3.502328e+07            1174857877
32          662799667             4.814769e+07            1166870565
33          275429822             2.379376e+08             336814650
34          724438563             8.477182e+08             856532062
35          423203772             6.204956e+08              46325002
36         3936781806             1.703352e+09             628961991
37         2276372098             6.233827e+09           11690336767
38         1187340536             3.173761e+08             159632777
39         4519040227             1.041861e+10            7168030689
40         7455058634             5.265246e+08             586999195
41         1281431431             0.000000e+00             735247886
42         3459044589             4.777092e+08            3793163198
43         4613859818             5.382358e+09           23419867538
44         2135361328             2.177291e+08             584281939
45         5789226659             1.533764e+10            8429006611
46         4311105538             9.087825e+07            7612135133
47         1402339999             7.008452e+07             243426725
48         9625878306             1.535137e+09           18724803163
49         1010895394             2.148428e+08             659659965
50          669903899             1.152954e+09              58793669
51         5152737813             5.011248e+08             268714405
52          478623923             2.141868e+08             233771591
53         4603493170             1.086625e+09             632103610
54          938070827             1.987228e+09            1190880456
55          339344609             2.322420e+09            1719350115
56         3940681424             3.266873e+08             414918744
57          473676167             3.304578e+07             897348873
58         1627118525             6.460128e+07            1085748829
59         1558394536             5.098718e+07            4961522668
60         2752569124             1.574690e+09            3821742478
61         5196169496             2.721522e+08             287691325
62          383939465             4.021828e+08             752464873
63         2458808845             1.413729e+08             486558833
64         3216245377             8.963308e+08            6486555391
65         8708825396             1.287691e+09           19335214729
66        10736459383             3.661449e+08            1466744115
67          662204702             2.065056e+09            1008137674
68        31896330030             3.373117e+09            9365169859
69        36494788314             6.383413e+09            6365686409
70          324393308             2.291164e+08             201559463
71         7054005210             9.275774e+09             996540691
72          695990803             4.462564e+08             544950947
73          870882318             2.042765e+08             927703486
74          464402935             4.195762e+07              89815768
75        41356085799             7.850029e+09            6802806843
76          535621024             1.658749e+07            1045320907
77         1770961838             9.676892e+08             628722106
78         1687724376             2.201891e+06             568555080
79         8372324177             7.217645e+09            4048913985
80         1908005992             1.724453e+08             980823765
81        24307819591             2.255164e+10           37854528489
82         2428800733             5.876296e+08            8710960650
83         1290406438             2.040671e+08             412063471
84         2549755985             6.373416e+08           97063493104
85          854603140             6.865664e+08             269014838
86         2334810567             4.411840e+08             101213962
87         2815847228             2.222144e+08             964452566
88         1664827756             7.621988e+08             550437423
89         1469119502             1.512144e+07            1123866926
90         4819789534             3.196561e+09            2209675723
91        21359394967             6.822544e+08           20937528477
92         1731250313             2.971647e+08             750696873
93         1807409347             1.681435e+08             401639500
94         6651589138             9.153080e+08            3740727088
95          711160530             9.894472e+07             412192491
96         3966469225             1.508008e+08             370988326
97         3392112231             1.835020e+09           76776810270
98         6422023279             3.652167e+08           35242917448
99          908865637             5.677305e+08             127125140
100         398319287             2.230214e+08             289270492
101        2464845099             2.888505e+08            1053128179
102         557255570             9.719863e+08              89118581
103         520885399             5.577354e+08            1091183900
104       26206264424             5.175467e+09           52604888174
105        2704459420             5.016401e+08             360761320
106         757831871             2.970268e+08             120501055
107        7361334030             1.632861e+08             950558744
108        6700177259             6.049594e+08            1615906653
109        2353533311             1.291035e+09            5467053236
110        1283503145             1.067921e+08             857133658
111         632241223             1.576318e+09             163903483
112        4477785773             6.537945e+08             328236085
113         451061817             1.405962e+08             398899528
114        6422134175             5.109294e+09            7388481947
115        2251235861             2.634865e+08             404457262
116       38549677755             8.148338e+09            5588493502
117        2408999425             2.490967e+08            1448411690
118        1770447941             6.561273e+07             319751191
119        1352171479             2.680197e+08             120105648
120        2564323356             6.309456e+07            2622869089
121        2281681908             1.049737e+08             558762008
122        5429206863             3.393811e+09            4136354351
123         270207648             7.206610e+08            2384810991
124        2042523798             7.578812e+07             953299176
125        2661812631             1.477389e+08             780705960
126        9278596059             2.059299e+09           15588844966
127        2869217184             1.305146e+08             528991779
128        5407887101             1.240363e+09            8138735306
129         386208517             5.010254e+07             151329107
130        4990597457             1.185390e+10           12444469014
131        5597366694             4.727682e+08             992277709
132       24924921646             1.750042e+09            2717538973
133        2595843041             3.462688e+08            9298830713
134        7572149551             2.725154e+09           15965205313
135       17631818715             4.333661e+08            5943875961
136         805170870             4.434381e+08              94050771
137        1018363521             9.135892e+08             293218291
138         537820733             7.675730e+08             380977478
139        1105752967             3.706401e+08             382200204
140        4804773158             9.383494e+09            2589996351
141         467449235             3.629600e+08             370528059
142         340214232             3.124564e+07             870182570
143         489445092             1.730636e+08             228827654
144        1283207256             3.400256e+08             664747167
145       12958242580             1.676628e+10           18932193220
146       15363963580             8.671279e+08           19966986741
147        2240635239             2.437110e+08            1862933115
148        2550790529             6.242453e+08             350942124
149       12704267886             1.516492e+09            3475363417
150        1406775075             5.525056e+08             444562717
151        3147484887             1.736989e+08             711932494
152        1274110302             0.000000e+00             310282179
153         345532192             3.789722e+08             230493514
154        1087029253             6.906214e+08             413751862
155        1185930029             2.256660e+08              37053296
156        2777821095             1.789707e+08             468341939
157       22140567213             3.065258e+09            1261925922
158        1050863766             5.235411e+07            1994972910
159        3674110990             1.600241e+09            3965597509
160       13159877729             1.134293e+09            2236392424
161         416283301             8.300547e+07             309983396
162         797037292             5.901902e+07             258710887
163         282877346             1.988856e+07             455845810
164        2230898978             5.275339e+08             517728731
165        1182776096             2.643784e+08             312125502
166        1894629554             3.514951e+08             774634064
167         526329961             5.300006e+06             124682766
168        4709319781             1.793995e+08            3670495641
169         593226490             1.258077e+08             106063838
170         739799067             3.078127e+08              59054606
171        1293746815             8.295923e+08           13602586506
172         683962213             4.478611e+08             247127080
173        1054602273             1.271256e+09            1211416866
174        4878313065             2.647302e+09             154311317
175        2804055718             1.214863e+08             653066068
176       20421200764             1.288520e+09            3386401325
177         578231000             4.993208e+07             291515718
178        2410148607             6.880043e+08            1292831239
179        1451123779             7.015178e+07             560551658
180        1035377701             2.433919e+08             820371906
181       40840546425             1.480285e+10           13499265765
182         940853502             6.717149e+07            1579178846
183        3806994378             7.301568e+08             174086585
184         488189884             5.348877e+08             154354745
185        1364290458             7.863080e+07             739227884
186         578636715             3.719126e+08             990322344
187         830927427             9.952025e+07            8154415374
188         593506443             6.501394e+08              56605539
189         249771620             7.052623e+08             587707443
190        1206441534             4.825601e+08              77771319
191       22797476592             2.331367e+09            3087268963
192       10507896670             1.786370e+09           19720414589
193        3972185020             5.005140e+08             157205727
194       10986238632             1.125256e+09            2782848692
195         514244159             9.662546e+06             204086097
196        1049273988             1.028666e+09            1709643464
197       29927857043             1.709683e+08           29110983356
198         276994973             1.818179e+08             118146405
199       40518871617             1.239348e+10            9513104207
200        1520184683             1.015321e+10            1655458933
201       16757557922             7.878766e+09           15211543869
202        1097003243             5.241844e+07             421599256
203         973937537             1.163986e+07             167045919
204        9387329634             3.024420e+08           19190219723
205        1765837970             1.714238e+08            1144849523
206        1301486468             3.497023e+08             252953191
207        1522398772             1.608354e+08            1314803750
208        2832092324             1.580195e+08             584047914
209        3125233923             6.093909e+08            7144816413
210        4857950593             6.342244e+08           59968139121
211        4791262180             4.261669e+07            3386882441
212        4198491356             8.651345e+08             287218312
213        1616065701             8.607201e+08            2647577660
214        4768979342             3.559558e+09            2485112592
215         451496805             3.697753e+08            1008500459
216        6772238507             1.001450e+10            4548143372
217        1315280737             1.484723e+08             775139453
218        3019554125             9.105136e+08             403941360
219        2398481744             2.883912e+09             249588007
220        2027297593             1.744042e+07             843397811
221       17970692661             1.481216e+10           25222504912
222        1029164093             1.967169e+08             265394992
223       24526726934             8.940206e+08            4679898321
224         748204413             7.399563e+07              56969479
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966        1723995736             1.041586e+08            1051113448
967         448116892             2.094097e+08             214487091
968        9202915091             8.438935e+08           13560208672
969        8982741576             1.457570e+08             953919042
970         634022805             1.064835e+09             212795623
971        4934315601             2.347393e+08            2275239581
972        4044961655             4.963444e+08              43132550
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974        1133807311             2.572869e+09            1138807294
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976        1669965179             6.516980e+08             940095931
977        3143579843             0.000000e+00            1113795258
978       13624428602             1.736009e+10           28389656759
979        3591225694             6.364979e+07             538497860
980         189787906             1.351591e+08             109663204
981        4191834525             3.734789e+08              74292200
982        5665534440             8.900190e+09            5586934038
983       30333356166             3.377548e+09            9428020330
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987        4089065104             6.976720e+08             298412351
988        1618165911             1.023614e+09             235996375
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991         991600125             5.502786e+08             206596780
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     WITHIN_350M_BUS WITHIN_1KM_PRISCH
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925        157656202      4.252550e+08
926       4495555023      1.086258e+10
927       1312591211      1.550763e+08
928       3598816131      1.212924e+10
929        740059172      2.101465e+08
930       1500110767      9.002985e+08
931       9782261880      1.000959e+09
932        160831093      5.931646e+07
933       1691159957      1.231395e+09
934        285586530      6.441168e+07
935       5313642764      1.155368e+09
936        238133664      1.317188e+08
937        544926026      2.588555e+08
938       1973069066      8.162823e+08
939        222490700      6.094985e+07
940       1714587394      7.079572e+08
941        786016525      2.808417e+09
942        672414688      2.642378e+09
943       2791063749      1.167899e+10
944       1628097301      1.670250e+08
945       4068176447      1.162692e+08
946        977938125      1.179859e+10
947        232027907      4.295919e+05
948       5168483422      5.903900e+08
949       1790595682      2.490005e+08
950       5153789788      3.579012e+09
951        109224894      4.886195e+07
952       5295808860      1.108740e+10
953        175710721      2.448344e+08
954       2766089122      1.880853e+08
955        384980160      2.411368e+08
956        520056623      8.114290e+09
957       2447260676      5.740116e+09
958        355830177      2.380283e+07
959       1340617747      5.677899e+07
960       1147304611      2.988202e+08
961        625146181      9.748957e+07
962       1276481331      1.129584e+10
963        745539731      2.344175e+10
964       4326144574      2.152256e+09
965       2103386164      8.037149e+08
966       1192242550      4.356296e+08
967        658469611      2.361717e+08
968       6874018349      3.627685e+09
969        582090564      2.026571e+08
970         68592615      3.251716e+07
971        775114398      1.794404e+09
972       3279635364      3.964928e+08
973      15092428437      1.786105e+10
974        807851020      1.187394e+08
975        745896395      1.109309e+09
976        582832715      4.992062e+08
977       1226282687      5.634464e+08
978      10154642129      5.673263e+09
979        585754115      2.257666e+08
980        162956838      1.889505e+08
981       3900171451      3.676890e+08
982      16551413167      1.184943e+09
983       4453056294      1.238845e+10
984        199794421      1.052118e+09
985        487470046      7.267501e+08
986       6538480981      3.234228e+08
987       1812826048      1.675102e+08
988       3055832920      2.908194e+08
989        711100215      1.705042e+08
990        273795309      1.484881e+08
991        151399417      2.997335e+08
992        540921239      6.735585e+08
993       6411750079      3.690400e+09
994        288597369      4.164821e+07
995       5753296273      5.755670e+08
996        274489692      7.949722e+07
997      16339337143      7.571592e+09
998      18620175839      1.609524e+09
999       2915779171      2.388284e+09
1000       341506940      1.645425e+08

$LGofFit
           y LM_yfitOOB     LM_ResOOB LM_yfitPred    LM_ResPred      LM_MSE
1     380000   396041.0  -16041.02564    383004.8  -3004.800000  4005561462
2     265000   265780.2    -780.21569    265327.7   -327.721333   618876101
3     362500   468000.0 -105500.00000    362666.2   -166.150000  2329245019
4     425000   377500.0   47500.00000    424871.5    128.480000   901517738
5     370000   349784.1   20215.85366    366308.8   3691.152800   432864334
6     410000   421216.0  -11216.04938    412765.3  -2765.333333  5537144491
7     340000   352181.7  -12181.72043    342051.6  -2051.566667   536130855
8     510000   438207.0   71793.00000    504087.3   5912.733333  1346227389
9     640000   654872.9  -14872.93720    643361.0  -3361.012786  3536688466
10    890000   841308.1   48691.89873    871237.0  18762.973050 26695405037
11    298000   308286.4  -10286.37778    299774.7  -1774.693724  1368078263
12    430000   441221.4  -11221.42857    430679.1   -679.066667  3234019393
13    410000   421457.6  -11457.59804    416200.9  -6200.886869   580149807
14    345000   374711.8  -29711.76471    352237.2  -7237.207937  1383732234
15    375000   366152.4    8847.55556    374634.5    365.456000  2125602578
16    440000   430974.0    9025.95515    435330.7   4669.270346   761350047
17    395000   364524.5   30475.54103    389634.4   5365.633333   743823689
18    530000   476513.9   53486.11783    517756.4  12243.636267 10878737197
19    385000   482168.4  -97168.35443    402948.6 -17948.600000  6653479769
20    339000   335225.6    3774.35897    339260.0   -260.000000  1551829051
21    485000   449400.3   35599.67949    478391.8   6608.233333  1326581078
22    310000   342304.5  -32304.52174    311740.4  -1740.363333   937938086
23    675000   679416.2   -4416.16915    674274.6    725.366667  6240367043
24    565000   553889.7   11110.25641    564637.5    362.500000  1713179861
25    428000   359652.4   68347.60000    421777.7   6222.318933  1367794885
26    304500   327265.6  -22765.62500    307877.9  -3377.916667  3321699585
27    400000   397201.4    2798.62000    399971.4     28.644800  1237126902
28    400000   407371.7   -7371.74603    402283.5  -2283.494019  1168237343
29    388000   394189.6   -6189.62264    389887.8  -1887.766667  9699497217
30    418000   350625.0   67375.00000    410587.6   7412.366667  1139731108
31    368000   387434.2  -19434.23303    371196.9  -3196.910171   839040018
32    452000   479485.2  -27485.15982    456222.8  -4222.833333  1043206681
33    442500   422942.6   19557.41935    435967.7   6532.292610  1322202899
34    460000   434806.4   25193.64035    453830.8   6169.233333  1389583771
35    375000   387112.7  -12112.74701    379771.4  -4771.429257   350465627
36    304000   321110.7  -17110.69919    310754.3  -6754.336305  1275717303
37    418000   407408.9   10591.12000    417519.7    480.311467 12655428575
38    415000   392714.3   22285.71429    413458.9   1541.133333  4393138321
39    750000   726961.2   23038.83765    744887.3   5112.745962  9367244671
40    363000   360500.0    2500.00000    363125.6   -125.633333 10127207228
41    365000   369430.6   -4430.55556    364691.4    308.566667   816193532
42    435000   422344.7   12655.28472    430915.4   4084.589333  1208731980
43    350000   339618.7   10381.26374    347962.2   2037.811429  5865639380
44    485000   484769.9     230.12132    489384.3  -4384.334933  1329586846
45    380000   493748.9 -113748.91775    381939.4  -1939.409524  7828458868
46    358000   362922.4   -4922.44898    360262.8  -2262.753968  3602053822
47    318000   304198.3   13801.72414    316301.2   1698.763492  1324554263
48    537000   491899.8   45100.23474    524532.4  12467.566667 12330714262
49    283000   322149.7  -39149.70238    287680.4  -4680.423810  2978971249
50    489000   515000.0  -26000.00000    497293.5  -8293.514286  1466912587
51    425000   479761.2  -54761.25000    435410.2 -10410.200000  1924287112
52    315000   304567.3   10432.70196    308416.3   6583.714159   563631857
53    388000   365486.2   22513.76812    376811.6  11188.382540   557695110
54    390000   315420.2   74579.76190    383734.2   6265.766667  1130240835
55    431000   418225.4   12774.61240    424143.5   6856.547985   998351188
56    421000   399584.8   21415.21212    420089.5    910.526476  4841425594
57    437000   444417.8   -7417.77778    437218.9   -218.866667  1280720413
58    418000   412290.0    5709.97679    416299.9   1700.065562  1110383675
59    315000   333353.6  -18353.57143    313983.1   1016.890476   902383841
60    380000   375285.3    4714.66667    379361.3    638.660000  4128567017
61    308000   341751.8  -33751.75070    312183.3  -4183.252381  1384254289
62    300000   337838.8  -37838.76491    300994.4   -994.413600  1861838882
63    390000   440730.9  -50730.90090    394829.8  -4829.833333  4774199292
64    365000   390702.0  -25701.96078    365215.7   -215.734933  1366742984
65    748000   798588.6  -50588.63095    758004.5 -10004.469048 12567096570
66    495000   497299.3   -2299.33333    495634.8   -634.780000  1269091547
67    323000   418427.5  -95427.45098    327188.0  -4187.972000  2286236029
68    535000   478254.5   56745.53437    502793.8  32206.187467  7281659969
69    438888   696944.4 -258056.44444    453593.9 -14705.873067 10350205670
70    475000   457648.7   17351.32398    472713.0   2287.015575  1252220443
71    350000   465000.0 -115000.00000    351345.7  -1345.722667  9511850032
72    374000   374548.8    -548.76491    374424.0   -424.025467  3243920328
73    460000   429162.4   30837.55952    456212.2   3787.816229   966564929
74    320000   347677.5  -27677.51938    323441.4  -3441.400000   279661678
75    815000   776975.0   38025.00000    810016.7   4983.266667 13922507540
76    450000   452897.3   -2897.26368    449918.1     81.866667  1108140942
77    388000   380392.3    7607.73810    386557.3   1442.668078  7026745771
78    300000   325484.6  -25484.58286    300561.0   -561.004210  1183539161
79    430000   459340.9  -29340.90909    430885.6   -885.566667  4531617785
80    330000   374985.5  -44985.50000    332615.6  -2615.565867  2514992505
81    800000   648110.7  151889.27407    771676.2  28323.768533  8384586756
82    420000   485317.1  -65317.12963    436207.9 -16207.900000  5122861879
83    387008   393000.0   -5992.00000    386875.9    132.061333  6535996199
84    325000   448526.2 -123526.20370    338231.7 -13231.653333  2215052449
85    305000   300000.0    5000.00000    304926.0     74.000000   377851376
86    410000   416113.3   -6113.29932    413139.9  -3139.887302  1973984152
87    290000   340265.1  -50265.07937    292518.1  -2518.133333  4255599982
88    335000   339798.2   -4798.22695    335944.8   -944.766667   744579112
89    490000   393152.9   96847.05882    478154.6  11845.400000  2351753610
90    335000   348717.8  -13717.80952    338448.6  -3448.584927  1279574783
91   1023801   919918.0  103882.96581   1003571.0  20230.044667 26831459469
92    460000   453631.2    6368.80853    456269.7   3730.301067  1146260487
93    400000   396544.4    3455.55556    399220.9    779.108000   899939903
94    588000   557384.4   30615.62500    580142.0   7857.966667  6504491844
95    385000   371353.8   13646.22925    379610.2   5389.810267   530598034
96    245000   318549.2  -73549.18631    249724.6  -4724.637374   779359748
97    390000   362888.4   27111.62162    385362.3   4637.673333  3785912672
98    365000   370659.4   -5659.41667    367331.1  -2331.113333  5185959735
99    319000   308803.6   10196.38889    318268.5    731.550000  1665459474
100   418888   437321.4  -18433.38498    424806.8  -5918.756400  1273061245
101   310000   333287.7  -23287.71930    312238.9  -2238.900000  1295946654
102   380000   373827.8    6172.21370    376371.6   3628.359733   324321719
103   399000   393754.8    5245.23810    397543.0   1457.000000  1005340478
104   357000   312000.0   45000.00000    351648.9   5351.068914 10642501857
105   446000   360828.7   85171.29630    440019.6   5980.361600  2159800565
106   303888   301725.0    2163.00000    302640.5   1247.490946  1364012333
107   330000   314900.9   15099.11746    328626.6   1373.378933  1258738731
108   620000   414000.0  206000.00000    619908.0     92.000000  9115921071
109   350000   414233.3  -64233.33333    352477.4  -2477.382933  1599211081
110   433000   413018.0   19981.96970    427214.2   5785.766667  1986373743
111   388000   377500.0   10500.00000    387976.6     23.400000  1465727364
112   333000   350139.7  -17139.70490    335370.6  -2370.604762   730644812
113   390000   412679.6  -22679.62963    391415.7  -1415.666667  3052894947
114   515000   523923.1   -8923.14815    515186.9   -186.866667 17543009311
115   510000   470736.1   39263.93155    494171.2  15828.817790  1285740526
116   838000   693266.4  144733.63095    807706.1  30293.900000 13841798299
117   450000   403667.0   46332.99231    446790.8   3209.216667  2706974435
118   375000   372803.4    2196.62500    374255.1    744.873221   343599075
119   428000   398107.1   29892.85714    423006.0   4994.033333  3484767743
120   318000   420393.8 -102393.79285    337477.7 -19477.702260  1189356600
121   315000   313932.5    1067.50152    313687.5   1312.458933  2166122511
122   400000   425666.7  -25666.66667    401910.7  -1910.733333  5305022857
123   340000   344033.3   -4033.33333    340201.4   -201.361600  1412151478
124   415000   392035.2   22964.76190    412765.6   2234.419048   941830989
125   375000   360738.1   14261.86667    374439.2    560.793333   596477604
126   476000   491652.7  -15652.65152    480425.1  -4425.057937  9911461108
127   330000   311924.5   18075.53517    324281.6   5718.400000  1088027438
128   565000   539466.7   25533.33333    557053.0   7947.039250  6623378687
129   333000   329687.5    3312.50000    332224.3    775.700000   547275284
130   408000   643140.7 -235140.74074    441815.4 -33815.355200 10292079620
131   411000   421881.3  -10881.32184    414774.6  -3774.566667  3617236134
132   475000   467502.9    7497.12245    472789.2   2210.807543  6467862478
133   480000   477794.1    2205.88235    478736.5   1263.466667  6848160085
134   475000   487279.0  -12278.98551    479215.1  -4215.082035 10955160257
135   394000   583333.3 -189333.33333    395046.6  -1046.633333  9647718239
136   360000   409623.3  -49623.33333    365119.7  -5119.733333  1186780967
137   420000   382636.8   37363.24786    409842.9  10157.126984   690607409
138   390000   419520.0  -29519.99649    392452.9  -2452.938133   557927464
139   385000   353608.9   31391.06115    382289.0   2710.952800   800816576
140   552000   585589.4  -33589.35972    560775.8  -8775.798133  9947450143
141   370000   360978.0    9021.97895    369367.5    632.475600   339678380
142   465000   464573.0     426.96970    465417.7   -417.700000   991079033
143   358000   358978.8    -978.77647    359111.4  -1111.388533  6133295494
144   440000   444820.1   -4820.13623    439135.7    864.347733   657596729
145   520000   653835.4 -133835.36585    542016.4 -22016.400000 11913271694
146   585000   421000.0  164000.00000    576536.6   8463.366667  5510495954
147   452000   409189.8   42810.15294    448011.2   3988.846400  2668924255
148   420000   397852.7   22147.29929    415107.2   4892.777067  5652005238
149   670000   547096.9  122903.07018    647048.0  22952.000000  6138051913
150   340000   316087.1   23912.93103    337486.0   2513.983333  3170101649
151   400000   432999.8  -32999.83051    402512.5  -2512.520000  1715169367
152   375000   343928.6   31071.42857    367484.6   7515.384453   584526193
153   345000   360303.2  -15303.17980    345109.6   -109.621333   288013428
154   420000   391712.3   28287.74063    415533.3   4466.714286   681214221
155   390000   398546.8   -8546.83908    391456.7  -1456.700000  3736652277
156   320000   339205.1  -19205.08472    322752.5  -2752.464267  1677683743
157   415000   544856.5 -129856.48889    439896.7 -24896.700083 10535511723
158   440000   439350.0     650.00000    439899.9    100.100000   694112955
159   485000   426869.4   58130.55814    478598.7   6401.320000  4276368444
160   525000   557722.6  -32722.56000    529627.7  -4627.731733  9880355373
161   367000   398172.4  -31172.40705    375356.7  -8356.667010  1652762988
162   315000   314639.1     360.94444    314360.9    639.079567   846851935
163   390000   402331.3  -12331.31313    397083.4  -7083.442857   481034523
164   390000   343999.2   46000.78667    374270.8  15729.157754  2026688002
165   370000   379045.5   -9045.50000    370261.5   -261.487067  1510590608
166   450000   459230.8   -9230.84615    455398.3  -5398.268109  1083325360
167   420000   449517.9  -29517.85714    428253.5  -8253.488095   432389133
168   400000   384958.5   15041.53439    402431.8  -2431.800000  2342892407
169   320000   337821.0  -17820.98765    320847.9   -847.866667   900384568
170   305000   311829.2   -6829.16667    306064.6  -1064.650000  2265229888
171   345000   392584.4  -47584.40860    350619.4  -5619.366667  5344301759
172   344000   332705.4   11294.62500    343146.2    853.834133   843900370
173   323000   339729.6  -16729.56989    324557.6  -1557.566667   724139798
174   323000   325892.9   -2892.85714    322887.2    112.850000   551561953
175   380000   449467.0  -69467.01524    387209.6  -7209.567067   985226878
176   560000   531248.6   28751.37255    551239.3   8760.716667  6819612044
177   315000   327757.9  -12757.89474    315277.4   -277.366667  1182367755
178   548000   513428.1   34571.87500    540083.0   7916.980000  1311641109
179   305000   321235.0  -16235.00000    306320.0  -1320.033333  1232967990
180   430000   438321.4   -8321.35128    430310.0   -310.010489   620640755
181   680000   571140.7  108859.33333    634636.3  45363.685714 13323919426
182   448000   436250.0   11750.00000    447898.9    101.100000   751686452
183   455000   451462.5    3537.50000    454965.0     35.033333  2049298740
184   355000   328009.7   26990.27778    352117.8   2882.173333   643704167
185   420000   423118.4   -3118.41085    423427.9  -3427.916667  2046997532
186   425000   414175.0   10825.00000    424754.6    245.446667   992628990
187   370000   370742.6    -742.62821    369469.4    530.600000  7254301730
188   448000   412521.9   35478.13725    441245.3   6754.683333  1282166084
189   330000   329200.0     800.00000    330210.4   -210.433333   335877072
190   310500   309279.3    1220.73171    309891.7    608.266667  1487536385
191   640000   631220.6    8779.44862    637842.6   2157.352381  5144542869
192   500000   523789.7  -23789.72833    507028.0  -7028.030952 12217969508
193   270000   251460.5   18539.47368    266355.9   3644.066667   575137706
194   450000   440675.4    9324.63768    446293.1   3706.865079  8229152993
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196   355000   376142.9  -21142.85714    355919.4   -919.433333  1573024907
197   350000   361250.0  -11250.00000    350787.7   -787.700000  5384983235
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199   650000   626432.0   23568.02249    643102.3   6897.728571 11741997329
200   380000   380716.7    -716.66667    380235.1   -235.066667  4014828862
201   315000   524709.4 -209709.42029    332204.7 -17204.700000  6898688056
202   316000   331094.3  -15094.25287    317867.5  -1867.460866  1289167825
203   425000   429939.4   -4939.39394    426576.9  -1576.933333   433301476
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205   425000   414675.3   10324.71579    420170.5   4829.478489  1096431456
206   350000   328025.0   21975.00000    348885.9   1114.108533  1519239214
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208   335000   311700.7   23299.27536    327597.2   7402.804800  1711008718
209   518000   486643.2   31356.81818    513698.4   4301.633333  9582828592
210   380000   372464.9    7535.10549    378707.6   1292.373333  3968324424
211   340000   409350.1  -69350.08000    345829.2  -5829.206933 10880562975
212   495000   501359.1   -6359.13978    495755.5   -755.466667  1749463143
213   360000   444143.1  -84143.06061    368555.2  -8555.173333  1724499309
214   345000   335005.6    9994.44444    342640.4   2359.575225  1251685916
215   420000   407967.1   12032.92683    418190.0   1809.966667   849330249
216   620000   574573.3   45426.65556    606455.4  13544.589600 11543467350
217   425000   424733.9     266.08518    424672.4    327.647124  1093447557
218   518000   493016.9   24983.08458    511278.7   6721.300000  1707402021
219   425000   423617.7    1382.25309    424926.7     73.266667   536556352
220   365000   357107.3    7892.73504    360408.8   4591.202095  1342192511
221   649888   623396.9   26491.07619    650661.1   -773.065333  7961278734
222   390000   394415.1   -4415.07937    390650.1   -650.100000  3790023655
223   488000   472049.6   15950.35014    483999.5   4000.464286  7682677976
224   358000   342525.0   15475.00000    356042.2   1957.758648   305288948
225   395000   405274.8  -10274.81481    397138.8  -2138.800000   612966482
226   495000   639305.7 -144305.72222    497468.5  -2468.454133 10878568663
227   345000   336074.3    8925.71429    344014.0    985.966667   313359632
228   300000   321666.7  -21666.66667    300323.3   -323.333333   473511881
229   440000   410700.3   29299.67949    436896.3   3103.650000   472452492
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231   382000   393725.0  -11725.00000    382455.4   -455.400000  2175710846
232   348000   407073.2  -59073.25000    354715.3  -6715.294000  3512978544
233   415000   412818.9    2181.14035    413905.6   1094.445238  1240799495
234   515000   524459.9   -9459.86395    514246.8    753.233333  8638011734
235   385000   399258.3  -14258.33333    385712.2   -712.166667   689586850
236   350000   508392.1 -158392.12963    362707.0 -12706.966667  5225727731
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240   545000   439304.0  105696.00000    526435.9  18564.126667  1060676240
241   425000   413754.3   11245.71429    422466.1   2533.870996  1159388880
242   333000   347660.9  -14660.86957    333991.3   -991.333333   190409857
243   333000   343579.8  -10579.85000    333464.0   -463.955200   340902061
244   360000   435126.0  -75125.96935    383193.3 -23193.267733  7082832285
245   400000   412658.9  -12658.87279    397797.8   2202.180133  7035960886
246   580000   644031.3  -64031.26984    594504.5 -14504.479076 12572052025
247   330000   326375.0    3625.00000    330209.2   -209.183333  1943619534
248   313000   330959.8  -17959.80392    313867.8   -867.833333   498626203
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251   390000   558890.9 -168890.90909    394799.4  -4799.400000 12363531039
252   335000   369404.2  -34404.23188    337314.4  -2314.424533  1055206941
253   280000   340881.4  -60881.42857    288418.5  -8418.533333  1678947609
254   320000   375222.2  -55222.22222    321185.2  -1185.166667   888767353
255   562000   501000.0   61000.00000    554755.5   7244.533333  7939541733
256   420000   410060.9    9939.07879    422470.2  -2470.188000  1349916716
257   342000   326618.6   15381.36162    335127.1   6872.915200   681354053
258   473800   430318.8   43481.25000    469194.7   4605.300000  1080413789
259   415000   427034.6  -12034.58182    418813.4  -3813.355851  1949827351
260   495000   508618.6  -13618.60901    497140.3  -2140.277067  2304421903
261   417000   364105.6   52894.35333    410257.4   6742.614933   657211735
262   370000   348267.7   21732.26667    369077.7    922.278400  3333752901
263   475000   495446.1  -20446.07843    477125.7  -2125.700000  2124967033
264   365000   425409.3  -60409.27861    377502.2 -12502.151333  1304391779
265   295000   318693.9  -23693.90244    299546.8  -4546.803175   722701140
266   352000   386030.1  -34030.11696    358710.0  -6710.000000 20619215887
267   430000   418052.2   11947.84978    426120.8   3879.238686  1098655161
268   688000   618424.2   69575.80109    666028.1  21971.925500  4689672729
269   550000   537273.3   12726.66667    549624.6    375.366667 20308273169
270   430000   453125.0  -23125.00000    428720.8   1279.200000 12124402872
271   505000   513123.0   -8123.01587    505002.0     -2.000000  2431603289
272   415000   424351.4   -9351.38889    421530.3  -6530.294372  1667816992
273   345000   328019.2   16980.79710    342798.9   2201.066667  1577056004
274   415000   413038.4    1961.55914    416319.6  -1319.566667  1611294967
275   553000   504542.8   48457.18391    541762.5  11237.466667  2104989076
276   395000   410324.8  -15324.79675    400621.8  -5621.833333  1154783904
277   459000   437566.4   21433.64348    453376.0   5623.958210  1166722359
278   400000   506797.9 -106797.86930    420931.4 -20931.426100  5209556233
279   515000   504807.7   10192.30769    516553.6  -1553.633333  9782359128
280   420000   424064.3   -4064.28571    422491.7  -2491.666667  1913953823
281   580000   543215.6   36784.40359    567183.5  12816.527790  1698444639
282   490000   483810.8    6189.16667    487847.2   2152.800000  1290670431
283   403000   459391.7  -56391.74242    411992.5  -8992.473333  1111618122
284   535888   506666.7   29221.33333    530991.3   4896.683429  1962572311
285   380000   364017.0   15983.01887    372285.9   7714.085714   523474437
286   518000   536671.7  -18671.70543    517404.8    595.233333 11875217929
287   415000   439286.2  -24286.22076    425053.7 -10053.740837   802319841
288   445000   597192.9 -152192.85714    450481.5  -5481.533333 11788791880
289   420000   415353.4    4646.59864    419330.0    670.021789   559790636
290   435000   415040.5   19959.48478    426343.3   8656.723810  2055666909
291   336000   311184.6   24815.41667    333214.2   2785.833333   292628173
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293   318000   318898.3    -898.31933    317417.8    582.230952   961741975
294   402000   347557.1   54442.85714    394989.3   7010.729867   529730734
295   372500   377602.9   -5102.90526    370498.2   2001.839867  3399142461
296   380000   389381.3   -9381.33333    381006.4  -1006.421867  1831635535
297   715000   679182.7   35817.25146    708235.4   6764.633333  5115275670
298   432000   404376.0   27624.02846    423998.5   8001.542569   592579260
299   450000   416874.4   33125.64103    447070.2   2929.785714  4831058987
300   385000   373678.6   11321.42857    385621.3   -621.266667   902476326
301   412000   459500.0  -47500.00000    412110.1   -110.066667  1525960829
302   395000   393323.1    1676.88172    394587.6    412.366667  3896142176
303   463888   592879.0 -128991.04286    474977.5 -11089.518133 10199625040
304   365000   353041.7   11958.33333    364029.1    970.900000  1414881720
305   685000   642900.0   42100.00000    686706.2  -1706.233333  6588153283
306   720000   696588.2   23411.76471    713047.4   6952.602814  5463379482
307   582000   455825.5  126174.50980    576738.0   5262.033333  6501418068
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309   385000   421836.2  -36836.19048    389061.0  -4061.038095   843689761
310   575000   569635.5    5364.50216    574378.5    621.466667  1607982294
311   422000   459447.1  -37447.07464    434526.9 -12526.898933  1156041448
312   645000   369337.5  275662.50000    636924.4   8075.566667  9250351793
313   369988   366175.3    3812.69778    368214.3   1773.675321   462189271
314   380000   391431.4  -11431.35593    381684.4  -1684.366667   695419206
315   615000   630862.3  -15862.31884    622272.3  -7272.333333  1103670183
316   680000   680056.8     -56.81818    676056.4   3943.595238  2600199075
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319   800000   726125.0   73875.00000    786164.6  13835.450000  8719334415
320   805000   581130.1  223869.92982    777297.8  27702.161600 15028622454
321  1110000   978691.2  131308.80864   1090428.7  19571.339133 23343765105
322   363000   363941.5    -941.51515    361675.9   1324.051637  3526233870
323   390000   419786.6  -29786.59200    392450.0  -2449.960267  1373572836
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325   432000   414256.8   17743.18182    427552.6   4447.414286   860546458
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327   378000   379163.6   -1163.64734    377694.7    305.316667 10430928386
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329   345000   411391.8  -66391.78667    346991.1  -1991.082133   856115803
330   338000   318200.0   19800.00000    337273.0    726.966667   585594809
331   410000   529412.1 -119412.14689    426978.9 -16978.900000  5815322515
332   355000   342712.5   12287.50000    349395.4   5604.638889  1074276659
333   825000   806258.8   18741.16056    820804.2   4195.834044  9310229337
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338   413888   687472.0 -273584.00000    421056.0  -7167.982400 14960929391
339   356888   356218.8     669.22222    357256.1   -368.096800   333407231
340   447000   403333.3   43666.66667    447203.3   -203.300000  4239115718
341   380000   369158.8   10841.19497    377126.9   2873.066667  1914406510
342   540000   515350.1   24649.86263    538569.3   1430.744800  2148699386
343   540000   559202.1  -19202.12222    547053.8  -7053.788000  1742543238
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345   515000   462521.8   52478.17460    509154.3   5845.666667  6385581726
346   446000   471819.8  -25819.79167    446755.0   -754.966667 11488211821
347   550000   462444.1   87555.89147    535987.8  14012.226667  1536316161
348   530000   542119.2  -12119.23611    530536.9   -536.864000 12466504413
349   485000   466464.4   18535.62500    478973.9   6026.133333   943976698
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351   416000   362168.0   53832.00000    412850.5   3149.507733  1255116015
352   455000   447794.8    7205.17241    445953.0   9047.033333  2473920474
353   423000   531834.0 -108834.04255    441230.3 -18230.300000  3704689132
354   348000   332111.1   15888.88889    346673.1   1326.933333   942648849
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361   440000   463092.5  -23092.48366    443486.5  -3486.500000  1132091498
362   417000   437583.6  -20583.63409    422274.1  -5274.101143  1310182222
363   525000   499596.3   25403.73333    524103.7    896.326933  1781652401
364   400000   381815.4   18184.61538    398340.4   1659.566667  2291918354
365   415000   402153.3   12846.65140    413529.0   1471.031502   513509914
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367   350000   329583.3   20416.66667    346112.5   3887.500000  1238544052
368   377000   393535.6  -16535.63441    380905.6  -3905.620000   493541141
369   425000   371332.6   53667.40000    417441.7   7558.332000   914574606
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372   435000   391741.7   43258.33333    432882.9   2117.100000  1008279932
373   445000   353561.5   91438.46154    441966.8   3033.213333  1778999166
374   370000   412533.7  -42533.74545    371822.7  -1822.679733  5375166468
375   688000   719904.8  -31904.76190    690254.2  -2254.221867 13072528275
376   498000   525352.5  -27352.52525    500988.4  -2988.366667  3254561826
377   375000   357274.5   17725.51020    373683.2   1316.766667  2189254584
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379   810000   743008.7   66991.31429    798812.7  11187.281600 10327195803
380   520000   527534.1   -7534.11458    522193.0  -2192.966667  2228903980
381   334008   368500.0  -34492.00000    334751.7   -743.707200  1252274943
382   409500   430715.9  -21215.89744    416909.8  -7409.803571  6616745815
383   345000   330480.0   14520.00000    344497.4    502.633333  1338218749
384   438000   409452.1   28547.91667    436068.7   1931.266667   844155300
385   347000   370870.4  -23870.44167    349128.0  -2128.042400  3698460175
386   440000   449340.0   -9340.00000    443324.4  -3324.447619  7671032914
387   292000   344550.0  -52550.00000    296437.6  -4437.566667   892105737
388   672000   627785.5   44214.45783    662050.2   9949.833333  4144984114
389   680000   733100.0  -53100.00000    685619.3  -5619.266667  9580422936
390   685000   743327.2  -58327.16667    694609.9  -9609.876000 11964780533
391   373888   373750.0     138.03636    374291.1   -403.138131   339311650
392   432000   430357.1    1642.85714    431569.2    430.815512   562671625
393   282000   319070.0  -37070.00000    282796.2   -796.233333   851209492
394   336000   334551.4    1448.58156    335679.8    320.233333   753213055
395   377000   409396.2  -32396.22642    380972.1  -3972.100000  7015945206
396   308000   319603.6  -11603.64583    309767.2  -1767.200000  8499445877
397   435000   475127.8  -40127.77778    438893.1  -3893.100000  8570137694
398   580000   649955.9  -69955.85399    584033.9  -4033.890909 11419372945
399   388000   402918.4  -14918.36735    388552.4   -552.366667  1737873455
400   350000   354825.7   -4825.72381    349466.5    533.526267   953076829
401   416000   370953.3   45046.66667    402983.3  13016.671429   551614690
402   365000   390278.9  -25278.91156    375340.5 -10340.494444   506308332
403   425000   462548.2  -37548.24561    429987.9  -4987.909062  1070986070
404   360000   393616.2  -33616.23932    361245.8  -1245.800000  8537465369
405   450000   467440.4  -17440.35556    453227.7  -3227.698019  1698416168
406   405000   423452.3  -18452.28070    414560.7  -9560.733333  1141638407
407   670000   581859.3   88140.68571    669436.3    563.670133  6827988870
408   395000   375518.1   19481.88406    387477.5   7522.511255  1144420378
409   510000   504293.1    5706.94444    507425.8   2574.166667  2169861493
410   440000   416210.5   23789.47368    429753.7  10246.333333  1459816104
411   538000   410753.2  127246.76304    526904.7  11095.306746  5694856527
412   320000   308562.5   11437.50000    314815.1   5184.912116  6958746815
413   400000   615350.6 -215350.60813    435922.6 -35922.591467  8404420591
414   310000   333923.5  -23923.45679    312345.4  -2345.400000  1147929425
415   468000   413994.2   54005.82857    459257.9   8742.068634  2217576458
416   297000   320333.5  -23333.51515    306445.5  -9445.536000  1662482528
417   470000   474561.1   -4561.11111    472820.8  -2820.766667 17276612599
418   355000   364730.2   -9730.20623    359216.5  -4216.535601   648677964
419   335000   338685.7   -3685.71429    333697.1   1302.947619   779338066
420   520000   511107.1    8892.85714    517641.3   2358.733333  2391911058
421   380000   473983.0  -93983.01887    392263.4 -12263.383333  2056259170
422   395888   397438.3   -1550.33333    396744.6   -856.567200   978056864
423   395000   334437.5   60562.50000    394606.7    393.349067  1964893264
424   355000   324004.8   30995.23810    353400.5   1599.500000  8375282103
425   700000   508285.9  191714.13333    681994.5  18005.533067  8033316889
426   275000   319675.7  -44675.72531    280310.1  -5310.118333   855979381
427   400000   375563.3   24436.66667    396777.1   3222.900000   632905059
428   380000   403746.5  -23746.46465    382124.2  -2124.233333   718897298
429   388800   353229.7   35570.28986    381206.2   7593.756190  8178474615
430   630000   473655.7  156344.31818    613968.3  16031.733333 10721052484
431   314000   324815.9  -10815.94982    316491.3  -2491.300000  1669692637
432   355000   435795.9  -80795.93496    368337.5 -13337.533333 11872990254
433   279000   307274.7  -28274.74747    282911.1  -3911.100000  1271537131
434   460000   454576.9    5423.07692    458830.1   1169.864502   874675003
435   380000   372249.8    7750.17544    379446.0    553.960000  3881777731
436   760000   786085.8  -26085.84906    773098.7 -13098.733333 13692185405
437   302500   319412.4  -16912.41830    307313.7  -4813.713333   452609170
438   305000   360331.9  -55331.91489    312574.0  -7574.016667   676415455
439   441000   381875.0   59125.00000    440112.2    887.766667   714059025
440   400000   386637.5   13362.50909    395760.6   4239.416800  1189815259
441   415000   383756.2   31243.75000    414600.5    399.466667   929369337
442   545000   527626.4   17373.61111    541549.6   3450.441270  1264738647
443   330000   342778.1  -12778.12500    330918.5   -918.466667  1014015774
444   378888   347142.9   31745.14286    378401.2    486.789467   973240447
445   295000   335192.2  -40192.22222    302965.0  -7965.021873  6821665839
446   516000   432725.2   83274.79675    509212.4   6787.566667  7695263947
447   361000   339119.3   21880.71895    355612.8   5387.200000   634532372
448   398000   428928.1  -30928.05060    407192.4  -9192.429276  1564983182
449   475000   444958.8   30041.21212    465865.1   9134.933333  5044818077
450   343000   346935.9   -3935.89744    343534.3   -534.266667   982293469
451   363000   335630.6   27369.37143    361127.6   1872.391733  1170364401
452   380000   393734.3  -13734.31688    383518.9  -3518.872990   478845273
453   550000   609205.2  -59205.22388    557577.3  -7577.300000  5679816536
454   510000   494183.3   15816.66667    508468.3   1531.666667  7742515068
455   613000   551212.5   61787.50000    595794.9  17205.100000  7123707922
456   326000   335594.9   -9594.87179    326423.0   -423.033333   338553010
457   450000   406066.4   43933.60806    433333.7  16666.343651  1294824229
458   323000   337179.3  -14179.27273    323066.5    -66.477333  4787037115
459   418888   376143.2   42744.79012    414082.0   4805.955733  1439398176
460   520000   496884.8   23115.21739    518086.0   1914.000000  5091736306
461   380000   369801.8   10198.17334    378420.8   1579.236508   497465668
462   353000   382109.6  -29109.61122    360388.2  -7388.249664   541921726
463   295000   331574.9  -36574.86264    301512.7  -6512.652381  1168646745
464   380000   359700.0   20300.00000    379509.1    490.900000  1491020872
465   480000   388068.6   91931.42857    468384.7  11615.320000  1510570688
466   663000   659079.4    3920.61404    662015.0    985.020946  3927958369
467   272000   315013.8  -43013.81197    277208.2  -5208.199200   879238193
468   306000   329491.4  -23491.38462    308237.1  -2237.062400  1708663420
469   390000   365157.0   24842.95952    385608.5   4391.465067   534131199
470   455000   470082.2  -15082.16667    456841.8  -1841.788020   869027000
471   735000   671037.0   63962.96296    734264.2    735.777778  3573390970
472   638000   628797.6    9202.41935    638107.8   -107.766667 11965305794
473   385000   416220.7  -31220.68966    391069.2  -6069.233333   687854405
474   365000   365270.3    -270.33125    366057.7  -1057.735270   429566101
475   358000   344117.7   13882.25882    357569.0    431.035200  3686069274
476   630000   633947.7   -3947.70115    632259.0  -2258.958730  5538155962
477   370000   389571.8  -19571.83908    373082.8  -3082.833333  1384512774
478   400000   393005.6    6994.44444    399546.2    453.833333   791678819
479   360000   355924.3    4075.71429    357188.9   2811.066667   505477366
480   430000   367068.7   62931.27619    423452.2   6547.788838  7266584751
481   303000   319689.3  -16689.31200    303527.8   -527.814133   817540358
482   347000   345884.3    1115.72016    340883.8   6116.248095  3711175608
483   395000   427644.4  -32644.38406    409029.0 -14029.011905  1228131454
484   255000   264593.6   -9593.60667    254654.5    345.511467   578816220
485   335000   367308.5  -32308.49259    338321.7  -3321.711467  1496997655
486   376000   449298.3  -73298.33333    379378.4  -3378.433333  1971249943
487   465000   500000.0  -35000.00000    465525.0   -525.000000  8249078335
488   455000   458130.5   -3130.52754    455180.6   -180.592800   984747947
489   415000   386772.5   28227.53846    412575.7   2424.270267  1393544616
490   310000   334439.8  -24439.81481    317726.9  -7726.890476  1075509755
491   350000   335338.2   14661.84211    347203.3   2796.700000   352484663
492   440000   515200.9  -75200.92593    440689.8   -689.800000  3704759325
493   410000   386517.6   23482.43243    407527.5   2472.466667  2885647191
494   400000   346388.4   53611.63522    386042.1  13957.896825   697192568
495   430000   405647.9   24352.06349    417067.7  12932.342857  1144608409
496   415000   402599.6   12400.44444    415027.0    -27.042667  1088163271
497   312000   324496.7  -12496.73459    314900.7  -2900.676165  1232036057
498   333000   401000.0  -68000.00000    333437.3   -437.271200  1436690944
499   418000   384092.2   33907.77778    407270.9  10729.054834 19602706721
500   445000   449579.3   -4579.32099    448311.5  -3311.533333  4288444997
501   385000   390527.3   -5527.27273    386267.1  -1267.124549  7200848737
502   440000   424820.5   15179.48909    439233.1    766.914286   865257959
503   420000   458111.5  -38111.48571    429887.6  -9887.557924  2196139528
504   395000   382989.2   12010.76667    393845.3   1154.735200   317935615
505   658000   562004.0   95995.95556    641025.8  16974.242133  1148616435
506   660000   639092.9   20907.14286    666100.0  -6100.023810  3525190395
507   400000   376179.9   23820.13889    387287.7  12712.304762  1826225875
508   390000   403536.3  -13536.26667    389446.8    553.244800  6568854749
509  1056800  1073374.7  -16574.73026   1064100.8  -7300.753311 23280865575
510   415000   337460.9   77539.08046    407052.0   7947.966667  1287419765
511   405000   415972.2  -10972.20952    405334.0   -333.965867   833650179
512   324000   330834.0   -6834.00000    324033.6    -33.633333   393019573
513   388000   375265.0   12735.00000    387633.2    366.833333   611288424
514   308000   353151.0  -45150.98039    310940.5  -2940.480000   407949422
515   660000   635750.0   24250.00000    661445.8  -1445.766667 14065031132
516   550000   533656.8   16343.24324    549282.0    718.000000  1765625554
517   420000   386385.0   33615.04762    416239.6   3760.408533   761700939
518   410000   426666.7  -16666.66667    410374.3   -374.313333   998735661
519   445000   437357.7    7642.34185    443835.6   1164.399352  1068773836
520   328000   317830.6   10169.44444    327331.4    668.633333   305153473
521   640000   623505.7   16494.25287    637454.6   2545.362471 11534415896
522   390000   418501.1  -28501.11111    393817.5  -3817.526667  1614945267
523   380000   410290.3  -30290.27778    382269.7  -2269.733333   920279348
524   643888   883419.6 -239531.64286    672827.3 -28939.285833 25573865645
525   325000   322793.8    2206.19454    325197.7   -197.655200  1082501857
526   330000   356629.6  -26629.62963    335317.2  -5317.246104  1121300506
527   390000   392416.7   -2416.66667    390047.2    -47.166667   645613097
528   422800   449918.5  -27118.49462    423858.2  -1058.224000  1960880220
529   340000   368904.0  -28903.98126    345309.3  -5309.285714  4175205875
530   465000   439406.2   25593.75000    463871.5   1128.500000  1012732018
531   408000   421916.5  -13916.50943    410691.0  -2691.000000   596439471
532   290000   445171.6 -155171.56863    313512.2 -23512.166667  8182544279
533   545000   660821.0 -115820.95238    584811.3 -39811.316667 14159138552
534   500000   551000.0  -51000.00000    500085.0    -85.033333  5373732858
535   450000   390436.5   59563.49206    446805.5   3194.500000  1388479729
536   662000   679993.5  -17993.45992    667913.2  -5913.200000  4961494477
537   470000   458497.2   11502.84553    468911.7   1088.266667   967603668
538   416000   428665.0  -12665.00000    421796.3  -5796.308730  1223741978
539   380000   507380.4 -127380.41782    396842.4 -16842.426476  3419964549
540   410000   378510.8   31489.21569    405797.3   4202.666667 20721435935
541   415000   409420.8    5579.16667    414931.0     68.983333   569130970
542   415000   399475.8   15524.16667    414487.8    512.183333   576952215
543   340000   374951.8  -34951.80267    348543.9  -8543.932707   571693093
544   325000   332316.7   -7316.66667    325184.4   -184.400000   801704249
545   390000   397384.1   -7384.09091    391037.7  -1037.677867   698320854
546   398000   337916.7   60083.33333    394084.2   3915.800000  1231034153
547   371000   391688.7  -20688.72000    370980.4     19.577867   843024409
548   336000   330320.6    5679.41176    336581.7   -581.700000   528578669
549   510000   520048.5  -10048.48485    509214.1    785.866667  2835830965
550   912000   861606.8   50393.18182    917082.3  -5082.251587 12132378640
551   742000   658857.5   83142.53753    712055.6  29944.384733  4781104479
552   365000   376406.3  -11406.32184    367056.1  -2056.066667  1427701372
553   500000   504976.2   -4976.19048    500745.2   -745.166667  2733813972
554   340000   338963.3    1036.66667    339232.4    767.600000   213153654
555   390000   417074.3  -27074.28571    392964.2  -2964.233333  2066974357
556   327000   337586.3  -10586.27451    328101.5  -1101.533333   932454667
557   565000   562023.6    2976.43478    566142.6  -1142.646185  2388638684
558   368000   381655.4  -13655.37668    369416.1  -1416.112114  2666214106
559   625000   422127.9  202872.05882    598355.6  26644.366667  3579654377
560   360000   353457.4    6542.59259    361445.3  -1445.300000   683055298
561   620000   664407.6  -44407.60870    635236.9 -15236.933333  5366271223
562   795888   748872.9   47015.09593    788505.5   7382.497067 10027048269
563   378000   372038.9    5961.12190    377756.9    243.112800   388113921
564   425000   419420.5    5579.54545    424262.8    737.150000   691349365
565   418000   438201.0  -20200.96154    421869.5  -3869.533333  3566221621
566   325000   313696.1   11303.90625    317771.9   7228.104762  1091324476
567   755000   831622.7  -76622.70000    741454.3  13545.660867 15195473030
568   491000   397597.5   93402.46914    484085.4   6914.628000  5395999992
569   315000   407013.0  -92012.95194    331161.6 -16161.623733  5258058277
570   303888   327862.8  -23974.84722    306923.3  -3035.258667   619448148
571   375000   394822.5  -19822.45333    384358.3  -9358.278000   912599721
572   345000   356782.2  -11782.22222    346654.5  -1654.466667   816260433
573   436000   434538.9    1461.10188    435669.3    330.696215   779648663
574   588000   551900.3   36099.66667    581832.0   6167.966667  7519064721
575   790000   683736.0  106264.03509    770103.7  19896.266667 12578634129
576   315000   326228.8  -11228.82883    316923.7  -1923.683333   250400766
577   395000   367913.0   27086.95652    392907.0   2093.000000   642227865
578   310000   319365.8   -9365.78947    310665.1   -665.133333  3504068060
579   500000   524112.2  -24112.18905    508165.0  -8165.000000  2032598825
580   575000   568974.0    6026.02041    574273.0    726.971574  2553774593
581   394000   373575.3   20424.70730    388181.5   5818.471581   359552374
582   370000   393455.0  -23455.03030    370224.0   -223.965867  1258587154
583   350000   379825.3  -29825.32917    356069.2  -6069.241067   506449267
584   500000   484277.1   15722.91298    494828.7   5171.255200  8170858190
585   370000   380910.6  -10910.63123    372687.8  -2687.814286   698169603
586   320000   304270.6   15729.41176    319268.6    731.400000  6270206830
587   313000   315856.4   -2856.43939    313834.7   -834.737734   864124477
588   520000   496546.7   23453.33333    520088.5    -88.466667  5711964927
589   312000   357000.0  -45000.00000    317539.6  -5539.618049 11260617706
590   335000   337322.6   -2322.59048    334916.3     83.713600   333023665
591   335000   378934.9  -43934.88372    344694.9  -9694.921429   805446349
592   330000   316163.9   13836.11111    330259.0   -259.033333  3340008565
593   676000   653733.7   22266.30824    668489.9   7510.110029  3558178781
594   365000   398519.6  -33519.60784    373650.4  -8650.404762  1098746215
595   320000   310476.2    9523.80952    317244.7   2755.326984  3448997085
596   575000   410857.1  164142.85714    574581.3    418.700000 11614485207
597   365000   392179.6  -27179.55975    368998.0  -3997.966667  1145010100
598   430000   389714.3   40285.73968    425028.4   4971.560533  3327690213
599   410000   382520.0   27480.00000    409819.7    180.281600  3413949669
600   370000   377837.3   -7837.33333    371987.7  -1987.733333   522390850
601   355000   645000.0 -290000.00000    355619.1   -619.100000 11781481112
602   350000   383992.2  -33992.17172    351459.8  -1459.768622   846359930
603   380000   413299.5  -33299.52000    391098.4 -11098.393460 19435007985
604   359900   360777.8    -877.77778    359812.3     87.726252   837367546
605   565000   447714.9  117285.11905    548330.0  16670.033333  5490979456
606   430000   504866.1  -74866.12903    438073.6  -8073.633333  4797023392
607   445000   428055.1   16944.88095    443885.3   1114.690476   484529959
608   320000   329654.6   -9654.62963    320847.1   -847.133333   320985324
609   450000   404459.3   45540.66667    444937.8   5062.183867  1300914643
610   580000   632794.9  -52794.87179    582017.7  -2017.666667 12427682330
611   430000   372222.3   57777.70833    420022.7   9977.350000  6923055986
612   326000   344821.0  -18821.04065    328205.6  -2205.600533   845839009
613   431000   431865.8    -865.81633    431315.6   -315.586652   495953318
614   485000   424945.6   60054.37143    472495.6  12504.445714  1586868868
615   360000   350775.9    9224.05432    360019.3    -19.326197   252371847
616   520000   488752.4   31247.61905    512327.7   7672.266667  1177952997
617   338000   339086.7   -1086.66667    338211.7   -211.719467  1741436248
618   350000   401327.0  -51326.96970    359776.6  -9776.633333  2946228147
619  1038000  1004982.0   33017.99853   1032907.3   5092.733707 26142282424
620   420000   384242.5   35757.52688    415223.5   4776.466667   570614240
621   450000   437263.9   12736.11111    449183.2    816.816667   327607489
622   480000   456252.6   23747.36842    479610.9    389.083333  8381048275
623   447888   452540.2   -4652.19694    450821.0  -2932.965074  1002261231
624   338000   368790.3  -30790.30000    340248.0  -2248.048000  2232212827
625   438000   395318.9   42681.07879    435676.0   2324.012267  4946811760
626   350880   416188.9  -65308.88571    349865.5   1014.484571  7059518895
627   370000   382684.6  -12684.64912    370759.5   -759.466667   795311148
628   330000   399760.7  -69760.66667    331467.0  -1467.033333 12972459028
629   389000   388434.6     565.42222    388507.1    492.933867  1065577515
630   540000   514046.2   25953.84615    542824.7  -2824.666667  7882760734
631   345000   358384.7  -13384.74576    343609.2   1390.766667  1462639469
632   400000   369725.7   30274.28095    394304.9   5695.122937  3719166393
633   418000   431998.7  -13998.67714    421461.9  -3461.903333  1345014777
634   420000   434181.9  -14181.85211    428283.1  -8283.123377   775991786
635   448000   570848.7 -122848.71795    460328.7 -12328.733333  5438538292
636   359000   348189.7   10810.34483    357818.7   1181.333333  1406763029
637   370000   357280.1   12719.88095    365689.6   4310.365518   893186707
638   364000   319333.3   44666.66667    363111.8    888.166667   290050929
639   393000   431552.7  -38552.67131    396206.1  -3206.068254  2443239544
640   478000   589282.8 -111282.79429    498177.8 -20177.816700  7958031874
641   585000   577444.5    7555.46448    580224.3   4775.700000  1473231909
642   705000   713846.2   -8846.15385    710787.4  -5787.392857  5147192502
643   400000   374502.0   25498.01587    389793.9  10206.083762   835912318
644   380000   360000.0   20000.00000    375172.2   4827.831602  1029572866
645   465000   482229.9  -17229.91453    467365.7  -2365.666667  1037478101
646   450000   489252.5  -39252.50000    450259.0   -259.033333  6663313373
647   507000   524106.8  -17106.84524    514769.3  -7769.333333  6606100319
648   300000   369773.9  -69773.87097    319621.6 -19621.613651  5407455307
649   500000   492280.4    7719.64094    500026.3    -26.318229  6751350252
650   300000   333076.4  -33076.35135    310391.3 -10391.266667   760973142
651   380000   311715.5   68284.51613    362713.6  17286.391429  5596423870
652   540000   501503.6   38496.35088    536679.1   3320.901867  2359569329
653   390000   412685.3  -22685.32973    392882.5  -2882.467733   988863409
654   362000   400973.5  -38973.47200    365201.5  -3201.527733   960010907
655   395000   405150.0  -10150.00000    392106.4   2893.633333  1387084702
656   450000   412797.2   37202.77778    442258.8   7741.163867   685775512
657   655000   572791.5   82208.45855    647589.5   7410.486794  4091211183
658   368000   357737.5   10262.50000    367904.2     95.800000   833854312
659   400000   396272.2    3727.81111    398534.9   1465.109600  3150945942
660   365000   392424.2  -27424.24242    365494.2   -494.190933  2299101901
661   428000   402247.1   25752.90179    424576.8   3423.185714  1378666473
662   460000   480633.8  -20633.81643    465998.7  -5998.700000  1301548586
663   422500   421143.8    1356.25000    422466.1     33.900000   617193733
664   378000   374634.4    3365.56575    377173.6    826.405086   333340724
665   295000   348771.6  -53771.63121    302805.7  -7805.666667  2250665614
666   478000   419079.2   58920.83333    473596.6   4403.400000  4843963786
667   390000   376375.4   13624.62147    388836.8   1163.226133  1402838756
668   328000   360853.5  -32853.53535    331599.4  -3599.400000   818830871
669   492500   398372.3   94127.67296    479734.3  12765.700000  7531711359
670   532000   569758.5  -37758.52713    537049.2  -5049.166667  3778100375
671   462000   487704.0  -25704.00000    464462.8  -2462.800000  5619061307
672   468000   454861.2   13138.82906    464513.7   3486.313524  1020775041
673   340888   352177.1  -11289.14286    344595.0  -3707.048533   583923207
674   500000   533552.6  -33552.63158    504867.5  -4867.519048  6251093020
675   426000   416064.6    9935.38360    424138.5   1861.495238  1087095856
676   345000   419365.4  -74365.38462    351764.2  -6764.166667  7291915280
677   440000   379319.8   60680.18018    431794.0   8205.966667  1653026458
678   428000   391462.3   36537.67361    419012.9   8987.100000   498627486
679   331000   324716.7    6283.33333    331022.0    -22.033333  3539311445
680   410000   435505.2  -25505.20833    421656.3 -11656.274248  1329281494
681   295000   333831.8  -38831.82222    297931.0  -2930.998400  4219286565
682   375000   345604.2   29395.83333    370518.7   4481.333333  7621633507
683   375000   399459.9  -24459.90991    373484.4   1515.566667 10485573373
684   295000   314693.5  -19693.45238    296990.2  -1990.200000   226594461
685   310000   290446.6   19553.38542    303161.4   6838.595238  1428515857
686   367000   384166.7  -17166.66667    367082.2    -82.200000   994994719
687   292000   308685.7  -16685.71429    292722.1   -722.133333   533169762
688   420000   461516.2  -41516.21176    423977.9  -3977.853600  1009305618
689   412000   404076.3    7923.72381    410268.4   1731.643467  2406520660
690   400000   471027.4  -71027.38095    412735.7 -12735.700000  1200128150
691   315000   358631.7  -43631.66667    319053.6  -4053.613333  3522475380
692   408000   435682.5  -27682.51701    409271.4  -1271.376190  6190648547
693   332000   341640.8   -9640.78947    332007.6     -7.566667   782875881
694   374000   378500.0   -4500.00000    373654.5    345.533333   929790665
695   412000   448210.0  -36210.00000    413209.4  -1209.433333  1655367766
696   425000   377666.7   47333.33333    423383.5   1616.533333  5973637402
697   333000   329131.2    3868.84058    331561.4   1438.633333   611169168
698   415000   346500.0   68500.00000    414236.0    764.033867  3979455058
699   660000   552595.5  107404.50000    641785.5  18214.516667 10373748377
700   418000   430250.6  -12250.57511    421522.6  -3522.590837   788784716
701   420000   372426.6   47573.36879    402367.9  17632.100000  3762359351
702   380000   378302.0    1698.00525    379761.7    238.271543   470501237
703   370000   392995.6  -22995.60000    370075.0    -75.000533  3808974503
704   280000   315002.6  -35002.58621    288885.9  -8885.886797  1422222431
705   340000   355653.7  -15653.70370    341072.2  -1072.200000   721599854
706   390000   386081.7    3918.33193    389262.6    737.371276   477997197
707   435000   421870.8   13129.24848    432254.2   2745.827200  1583728081
708   370000   400260.1  -30260.10980    371831.0  -1830.997600   768827284
709   472000   611780.3 -139780.25023    493036.1 -21036.109333 11326114834
710   430000   415658.8   14341.19048    423083.6   6916.433333  1246513025
711   385000   340387.3   44612.74510    384576.9    423.133333  1037603114
712   530000   574436.9  -44436.93245    533500.1  -3500.076190  7049610097
713   335000   389444.4  -54444.44444    336302.3  -1302.333333  7274449939
714   568000   538820.8   29179.16667    564708.0   3292.033333  5458068235
715   380000   418867.1  -38867.10526    387188.0  -7188.033333  5952246887
716   420000   419662.7     337.30159    422297.4  -2297.433333  5292221936
717   455000   395884.0   59116.01905    448326.4   6673.583200  5653269741
718   368000   382137.9  -14137.87879    369010.3  -1010.333333   581225406
719   405000   382403.0   22597.01867    403893.0   1106.986400  1184065572
720   365000   422750.0  -57750.00000    366737.3  -1737.300000  1342124729
721   375000   406834.0  -31833.95062    380283.4  -5283.366667  1545490581
722   320000   330500.0  -10500.00000    320773.7   -773.733333   537125441
723   589000   536460.4   52539.63964    580538.5   8461.466667  2767686779
724   358000   433312.5  -75312.50000    359511.6  -1511.566667  1003015707
725   355000   340834.0   14165.98830    352614.9   2385.089333  1281822267
726   410000   393750.5   16249.46237    406119.4   3880.600000  1185233536
727   380000   421180.2  -41180.21463    390908.7 -10908.712533  1598963891
728   370000   358527.4   11472.55102    367964.1   2035.850476  4716362373
729   312000   320295.4   -8295.42484    312378.8   -378.800000   289040110
730   320000   313227.0    6772.97778    319176.6    823.434667  1274705443
731   655000   668294.5  -13294.48413    660948.3  -5948.280031  4002362335
732   385000   389078.1   -4078.12851    390180.8  -5180.810533   542387495
733   375000   316527.6   58472.35023    368981.4   6018.605714  1331965013
734   369000   372654.3   -3654.32099    371056.1  -2056.138095   987976740
735   550000   496735.8   53264.16667    540034.4   9965.600000  8891878374
736   375000   366150.0    8850.00000    374896.1    103.866667  1015701055
737   340000   333111.1    6888.88889    337088.8   2911.166667  1271631887
738   320000   309750.5   10249.54955    317464.5   2535.534921   750556974
739   460000   369124.1   90875.91884    449093.2  10906.792800  1179780341
740   310000   332824.5  -22824.52381    311581.1  -1581.056667   610455696
741   433000   398097.8   34902.22222    426357.3   6642.703175  1102877443
742   407000   436923.6  -29923.62278    405476.7   1523.290476 10345174832
743   392000   402757.7  -10757.69231    393276.4  -1276.366667  6417000320
744   435000   443846.1   -8846.10929    437621.3  -2621.278667  1362037751
745   338000   349560.6  -11560.58824    341014.3  -3014.300000   554975198
746   400000   387992.3   12007.71532    397333.7   2666.265333  4114539410
747   465000   443694.4   21305.62500    460069.8   4930.200000  6737315241
748   330000   326076.4    3923.61111    330119.5   -119.466667  1009680914
749   456500   428860.2   27639.83051    451082.4   5417.566667   846154854
750   376888   419210.7  -42322.66667    383180.0  -6291.980000  4631724106
751   320000   369792.7  -49792.68571    323857.0  -3857.008533  2428110487
752   310000   542733.3 -232733.33333    323276.4 -13276.400000  9493724563
753   420000   385334.0   34666.02564    411739.7   8260.333333   699799267
754   450000   444700.7    5299.30314    448971.0   1029.042857  1204029662
755   325000   358200.0  -33200.00000    325758.7   -758.700000   538952669
756   710000   686603.0   23396.99454    705349.2   4650.800000  6156629162
757   400000   370300.3   29699.65470    395406.8   4593.221600  1097636048
758   485000   417296.7   67703.33333    481216.2   3783.800000  2915814380
759   475000   430952.8   44047.21261    467860.2   7139.819467   614172376
760   535000   541819.1   -6819.10569    537917.8  -2917.809812  1327940418
761   310000   348357.8  -38357.84314    312233.2  -2233.233333   279091056
762   350000   367494.9  -17494.87407    354372.9  -4372.895929   570672673
763   685000   544095.9  140904.06504    671990.8  13009.166667 13434877443
764   455000   451240.3    3759.68906    454015.1    984.881153  1023250252
765   590000   586000.0    4000.00000    589804.1    195.933333 13155701747
766   380000   363392.9   16607.14286    377332.2   2667.800000   583673095
767   710000   501917.6  208082.37179    675672.0  34328.000000 11905687444
768   820000   810960.9    9039.13615    820435.9   -435.889137  9727086066
769   385000   380211.5    4788.49975    384748.5    251.496970  1342225240
770   370000   403009.1  -33009.09091    381743.0 -11742.980952   542730417
771   398000   373429.9   24570.11494    395397.8   2602.233333  1466103664
772   578888   483274.1   95613.90714    565002.2  13885.807867 10170253349
773   349000   342302.6    6697.36842    348818.8    181.233333   831526801
774   300000   357178.7  -57178.72333    309728.5  -9728.497867   705707551
775   680000   620000.0   60000.00000    679242.0    758.000000  5955755749
776   390000   389754.8     245.24490    389997.5      2.495048 23229166787
777   400000   383906.7   16093.30000    395526.5   4473.513867   331498354
778   335000   381008.1  -46008.12500    347680.5 -12680.500000  4154704252
779   455000   440078.3   14921.66667    451699.2   3300.833333  2472854591
780   373000   388475.9  -15475.86667    374248.4  -1248.396000  1140680089
781   438000   426221.4   11778.57143    437243.1    756.866667   446169322
782   420000   428294.1   -8294.10774    423317.3  -3317.300000  1961801528
783   425000   404955.3   20044.70667    423940.8   1059.162667   992385940
784   740000   724337.6   15662.42938    740716.0   -715.966667 12206288798
785   309000   346955.0  -37955.00000    314433.5  -5433.533333  1551675206
786   295000   301846.2   -6846.15385    295399.8   -399.833333  6546791200
787   345000   327018.8   17981.15942    344521.3    478.733333   873077555
788   338000   336561.0    1439.02037    338657.3   -657.329333  1857486920
789   355000   400021.0  -45021.00000    362524.4  -7524.433333  3009675919
790   380000   376261.9    3738.09524    379081.5    918.504762   531244063
791   420000   451343.7  -31343.65223    427431.3  -7431.300000   990203692
792   580000   562041.2   17958.83723    573601.5   6398.461818  2585897578
793   370000   395603.1  -25603.14286    374387.8  -4387.819124  3728286436
794   682000   715042.0  -33041.98267    705361.9 -23361.883067  5253436400
795   648000   530866.7  117133.33333    640634.2   7365.766667  5416836360
796   590000   612939.4  -22939.35231    590955.2   -955.179654 12225536226
797   410000   424785.0  -14785.04359    416299.5  -6299.523810  2123193769
798   288000   288950.0    -950.00000    287856.6    143.433333   886099074
799   348000   321725.8   26274.19355    345326.5   2673.492000  1826289381
800   337000   349171.4  -12171.42857    339004.3  -2004.266667   294712245
801   678000   515855.1  162144.86434    643422.6  34577.350000  8964212313
802   440000   401333.3   38666.66667    440115.1   -115.083333  7375401893
803   320000   310278.6    9721.43192    315768.2   4231.756667   470997524
804   340000   375989.5  -35989.53939    343152.8  -3152.821067   661225210
805   395000   418780.3  -23780.32787    404537.5  -9537.522222  1104158933
806   345000   343292.9    1707.08333    343548.9   1451.100000  1327019717
807   458888   453344.7    5543.30973    456675.1   2212.867486  1128873696
808   548888   549770.5    -882.54795    552837.9  -3949.858305  1444417558
809   650000   378500.0  271500.00000    645894.0   4106.033333  9783691696
810   330000   321519.8    8480.21333    331616.3  -1616.293600  1461145735
811   485000   532142.9  -47142.85714    489562.3  -4562.333333  4655757937
812   720000   624222.2   95777.77778    714132.2   5867.800000 10132814186
813   300000   336228.5  -36228.51909    312478.0 -12478.041600   555196057
814   385000   391560.0   -6560.00000    385264.2   -264.200000  3361887580
815   537000   494088.5   42911.53846    530843.2   6156.766667  1755468849
816   945500   884167.4   61332.62411    925576.7  19923.313889 11639221245
817   310000   330290.3  -20290.27778    312324.2  -2324.233333   904828970
818   375000   385567.1  -10567.07317    375254.1   -254.133333  3511941505
819   535000   491694.4   43305.62771    519143.4  15856.590476  1778508870
820   388000   372471.3   15528.68116    386542.1   1457.888000   635604717
821   650000   631462.5   18537.51804    641745.6   8254.394439 12856832165
822   335000   307364.7   27635.32143    324993.9  10006.149244   601688748
823   580000   701683.3 -121683.33333    584307.0  -4306.966667 16613512246
824   700000   826550.7 -126550.74107    703637.8  -3637.810781 28001839309
825   350000   335773.9   14226.08696    348534.8   1465.233333  1075516266
826   335000   378913.3  -43913.33333    336945.4  -1945.400533  1090648790
827   297000   321501.7  -24501.67132    302079.0  -5078.955200  1293915284
828   330000   318095.3   11904.65116    328705.1   1294.933333   283289320
829   492000   507447.4  -15447.43590    493646.1  -1646.133333 10248969460
830   558000   540232.7   17767.28992    554297.3   3702.724000  8626736883
831   420000   400677.6   19322.37415    418455.4   1544.552952  1156750384
832   745000   804949.9  -59949.88829    754189.0  -9188.954933  7926895025
833   300000   317539.6  -17539.58333    300985.5   -985.483333  3289551944
834   566888   620359.8  -53471.82121    572265.1  -5377.103200 10571987375
835   370000   386322.8  -16322.80000    371545.0  -1544.984000   775644173
836   350000   442611.3  -92611.27752    361341.0 -11340.994133  4944296546
837   550000   500065.5   49934.49612    544212.7   5787.333333  3129917040
838   325000   333903.2   -8903.17460    325393.5   -393.500000   570821972
839   330000   327894.4    2105.55556    329889.0    111.000000  1275199956
840   395000   415951.6  -20951.59502    403087.6  -8087.601435  1090147462
841   660000   635994.5   24005.48523    656684.6   3315.366667  3992802276
842   439000   470920.7  -31920.72072    442738.5  -3738.533333  6715606362
843   450000   411461.0   38538.99123    440838.0   9162.006667  1569005300
844   340000   389275.5  -49275.46667    354174.8 -14174.844203  1950611706
845   429000   461386.8  -32386.77778    432637.5  -3637.485600  1496563452
846   510000   520563.0  -10563.00000    510412.7   -412.704800  2512046607
847   398000   404434.1   -6434.09823    398904.5   -904.538889  1916678480
848   300000   289408.1   10591.90476    297832.7   2167.316667  1038095978
849   520000   459701.1   60298.91068    516283.6   3716.405556  6584675061
850   830000   971804.2 -141804.15598    858642.1 -28642.125462 24368198345
851   347000   378132.6  -31132.63889    348218.5  -1218.500000  1266489064
852   455000   412626.0   42373.95833    449289.1   5710.878571  2530635687
853   416000   460925.9  -44925.92593    418741.4  -2741.433333 12828959337
854   840000   808444.9   31555.05952    832841.7   7158.321429 10107175218
855   515000   489000.0   26000.00000    507295.9   7704.074708  1147621663
856   365000   390208.0  -25208.03704    367484.9  -2484.902400  1534932318
857   338000   312876.2   25123.80952    336359.0   1641.033333   930990791
858   395000   432875.0  -37875.00000    395167.4   -167.400000   498804985
859   342000   316165.7   25834.25926    340486.8   1513.186400  4194492357
860   403500   414999.2  -11499.16667    401378.4   2121.643200   611097931
861   430000   412537.0   17462.96296    429149.1    850.880000  1033989348
862   300000   313061.9  -13061.90476    300325.5   -325.533333  1086656444
863   500000   507733.1   -7733.09859    505592.4  -5592.366667  1220499693
864   288000   317280.6  -29280.55556    292868.2  -4868.233333   758757637
865   460000   460492.0    -491.98718    458455.6   1544.366667  4772781751
866   408000   370564.4   37435.63218    403395.8   4604.166667   812672779
867   268000   325213.6  -57213.63636    270453.3  -2453.300000  4071991431
868   426888   411588.0   15299.98889    425929.1    958.942267   591679524
869   420000   414358.1    5641.85185    419288.8    711.166667   999551690
870   330000   343780.3  -13780.30303    330221.8   -221.800000  1617631859
871   320000   320695.3    -695.33333    320649.3   -649.350000  2593322120
872   258000   322276.7  -64276.66667    264815.1  -6815.066667   600396478
873   362000   345721.3   16278.68217    360955.5   1044.533333   374575683
874   460000   420022.7   39977.28457    445507.5  14492.547403   813893870
875   368888   386719.3  -17831.31217    374572.2  -5684.183943   309505958
876   540000   451738.6   88261.44000    526108.8  13891.206025 10483777360
877   420000   408291.6   11708.43373    418415.6   1584.366667   711060573
878   435000   440302.5   -5302.52525    435663.3   -663.300000  1282539974
879   408000   397191.9   10808.05986    406883.9   1116.128267  1014058337
880   358000   350714.3    7285.71429    358829.2   -829.240533  1022106854
881   708000   649000.0   59000.00000    705657.9   2342.066667 16464966339
882   405000   389317.3   15682.70370    396432.6   8567.407035   538824693
883   345888   334231.2   11656.75000    344046.8   1841.186667  1327076344
884   365000   341170.8   23829.16667    361373.1   3626.900000  1990977041
885   490000   350000.0  140000.00000    489086.7    913.300000 13403738145
886   330000   370768.0  -40768.02843    339452.8  -9452.783010   505673322
887   390000   364186.9   25813.10000    387513.0   2487.026400   352703011
888   320000   344968.4  -24968.37607    321855.9  -1855.933333  1049569822
889   418000   418652.8    -652.77778    418623.7   -623.666667  2231790075
890   345000   359990.7  -14990.74675    345206.5   -206.519048   737263052
891   360000   355213.0    4786.97917    360005.5     -5.500000   989331356
892   428888   469800.0  -40912.00000    425363.3   3524.670255  2188412332
893   325000   329252.0   -4251.96078    324378.8    621.233333   746918490
894   366800   360145.3    6654.66667    366090.8    709.229333  5492701924
895   315000   314866.7     133.33333    314967.1     32.933333  6291286559
896   315000   314937.5      62.50000    313708.0   1292.016667  1788207679
897   680000   714359.6  -34359.57447    689791.2  -9791.166667 11690043382
898   355000   350786.2    4213.83704    353599.8   1400.222400   584448611
899   410000   403577.6    6422.35202    408045.3   1954.666667   694033542
900   430000   438741.9   -8741.87500    431046.0  -1046.000000   415099141
901   340000   330533.3    9466.66667    339680.1    319.933333   496739795
902   323000   307932.5   15067.49311    321715.3   1284.684848  1843676780
903   705000   573000.0  132000.00000    701509.4   3490.633333 15807562472
904   700000   625555.0   74445.00000    698154.1   1845.883200 12199758968
905   305000   309417.6   -4417.61905    304832.1    167.933333  1325883653
906   350000   312973.7   37026.34409    348184.0   1816.000000   935574102
907   418000   413788.3    4211.66667    416029.3   1970.747619  6510414062
908   435000   423463.2   11536.84731    430988.4   4011.622439   807726188
909   323000   430200.0 -107200.00000    323691.5   -691.500000  1062839270
910   390000   380157.5    9842.48254    388215.1   1784.879467   880877764
911   437000   410162.6   26837.35828    423336.3  13663.731635  1730670465
912   423888   383220.4   40667.56989    419903.8   3984.196800   992513137
913   380000   413451.6  -33451.61290    389976.2  -9976.157287   700639112
914   333000   359254.7  -26254.74074    341447.5  -8447.488095  7851834181
915   335000   328324.1    6675.87586    334380.6    619.370400   651599729
916   685000   685375.3    -375.31250    690625.4  -5625.428667 10523498148
917   520000   567528.8  -47528.75877    533054.7 -13054.703086  2300557811
918   392000   371355.3   20644.68383    386734.1   5265.857067   601619990
919   412000   412714.2    -714.19874    412547.9   -547.935067  1637234040
920   310000   363895.8  -53895.83333    317591.4  -7591.366667 13719896588
921   330000   344888.4  -14888.42593    332452.2  -2452.233333  1100484148
922   435000   448000.0  -13000.00000    434887.4    112.566667   583647427
923   725000   599966.0  125033.98268    717285.6   7714.359307 12731372508
924   310000   322100.0  -12100.00000    310485.4   -485.366667  2952555029
925   425000   409805.1   15194.89796    419791.5   5208.452381  2194163498
926   480000   514402.0  -34402.01321    500384.0 -20383.986146  7256615225
927   370000   347307.7   22692.27642    362584.4   7415.601587  1423523611
928   729999   703844.8   26154.17799    723765.8   6233.203933  5769106102
929   370000   394933.6  -24933.56777    370911.7   -911.746362  2407356334
930   680000   647510.2   32489.76608    673750.3   6249.666667  5260359977
931   638000   626336.4   11663.63636    634191.9   3808.108802  5380012049
932   355000   323659.6   31340.37778    349429.3   5570.681067   534895052
933   412000   401010.8   10989.18919    411501.7    498.266667  2311489955
934   430000   410516.8   19483.17610    425568.9   4431.133333   691892524
935   560000   519428.9   40571.11111    558615.7   1384.333333  6063615402
936   398888   383761.7   15126.34865    395024.9   3863.121194   557888842
937   430000   406790.7   23209.25926    431154.9  -1154.933333  1165540739
938   483000   525852.4  -42852.38095    496920.3 -13920.304762  1730341958
939   393000   425448.3  -32448.27586    397973.2  -4973.245238   869317388
940   320000   350338.0  -30337.95181    331596.1 -11596.142857  4028622424
941   423800   408660.6   15139.39394    420514.1   3285.946667  2670571403
942   375000   367764.4    7235.63218    372021.9   2978.126840  1052206797
943   468888   519191.5  -50303.52983    486580.3 -17692.291833  5294467824
944   325000   308476.1   16523.86667    321959.4   3040.570667  1297343651
945   285000   299620.8  -14620.83333    286410.6  -1410.633333   982577659
946   350888   439350.8  -88462.76923    365200.4 -14312.395200  7150131031
947   450000   421591.7   28408.33333    441323.3   8676.747403   414549139
948   355000   371582.5  -16582.45614    357910.0  -2909.966667  6264467731
949   400000   361740.6   38259.37500    395515.0   4484.966667  5077311419
950   455000   450261.3    4738.66667    455281.2   -281.200000  7154106522
951   293000   315182.8  -22182.78806    301576.3  -8576.325600   526299328
952   620000   562123.9   57876.12613    617973.2   2026.833333  8529535386
953   320000   294091.5   25908.52535    316553.6   3446.361905  1087711540
954   360000   374050.0  -14050.00000    364770.8  -4770.825208   927869119
955   400000   420284.5  -20284.48276    402649.9  -2649.916667   643617834
956   310000   360000.0  -50000.00000    310403.0   -403.000000  4605831235
957   518000   494641.0   23358.97436    516453.3   1546.666667 21026138788
958   505000   530029.7  -25029.70667    510541.2  -5541.229316  1888005412
959   350000   343990.4    6009.57672    352971.5  -2971.461905  1389580516
960   360000   353821.8    6178.16000    359382.8    617.178933  1404531803
961   412000   386830.6   25169.39891    401586.6  10413.449206   473832301
962   508000   562732.1  -54732.07547    520174.9 -12174.933333  6766066312
963   550000   587779.3  -37779.34783    563886.8 -13886.766667  6495414595
964   400000   410926.7  -10926.66667    402355.4  -2355.400000 14726187559
965   342000   383446.6  -41446.60494    351373.0  -9372.966667  3690720609
966   443000   454931.2  -11931.18182    451257.1  -8257.085995  1045597328
967   325000   354776.2  -29776.23016    330659.2  -5659.214286   737189992
968   680000   722814.7  -42814.65517    686607.5  -6607.533333  8567055058
969   530000   505850.3   24149.67521    526502.7   3497.309067  1920483902
970   415000   405918.8    9081.25000    414269.8    730.183333   680729745
971   398000   357980.7   40019.31429    394344.0   3655.960000 12618008805
972   275000   258694.4   16305.63048    272075.5   2924.505600   656193215
973   640000   621169.5   18830.47619    638623.5   1376.542857  7570118296
974   325000   358134.6  -33134.61538    326594.6  -1594.566667   997297017
975   335000   382507.3  -47507.29167    340686.4  -5686.433333  1350811388
976   371000   352866.7   18133.33333    370409.6    590.366667  1338694302
977   505000   487702.0   17297.95918    501953.5   3046.466667  2067501939
978   533000   540428.3   -7428.32925    535266.1  -2266.087733 10002450708
979   490888   470265.1   20622.94624    487984.1   2903.949600   652737278
980   320800   310844.6    9955.41667    319569.2   1230.843333   640986734
981   250000   270896.9  -20896.92982    254729.0  -4729.000000   610046159
982   755000   730107.5   24892.47544    745084.5   9915.518273 10504521704
983   653000   641795.6   11204.42746    654402.1  -1402.137333  5897356854
984   355000   354330.0     670.00000    356136.4  -1136.366667  1417961314
985   373000   401800.0  -28800.00000    385987.3 -12987.266667  1828688787
986   285000   308790.3  -23790.32258    287142.6  -2142.600000  3833237080
987   315000   330268.4  -15268.42105    314840.2    159.766667  1586175511
988   432000   481666.7  -49666.66667    431458.5    541.466667  2092975682
989   382000   423932.9  -41932.90962    389337.0  -7337.008933  1134768970
990   370000   378163.0   -8162.99187    372982.6  -2982.645733   514468454
991   455000   449557.7    5442.30769    454504.3    495.666667  1058163884
992   313000   322130.1   -9130.12821    313531.6   -531.633333   783246030
993   380000   555754.2 -175754.24837    407074.2 -27074.233333 11828605838
994   405000   418957.5  -13957.49064    409867.7  -4867.680952  1969351923
995   300000   290040.4    9959.58333    297757.7   2242.266667  4177596872
996   465000   458986.1    6013.89744    463075.5   1924.478681  1712222905
997   545000   607287.5  -62287.50000    547684.7  -2684.666667 12775841436
998   548000   472316.7   75683.33333    547463.3    536.700000  5965812199
999   753000   695228.9   57771.11111    745429.7   7570.316667 11409621566
1000  358888   336326.1   22561.85621    357050.2   1837.774133  1350840749
         LM_Rsq100 LPerm
1     0.1756062868     1
2     0.5511252483     1
3    -0.3920752400     1
4     0.4688551314     6
5     0.3743350958     1
6     0.4385600193     1
7     0.2286594575     1
8     0.4162093478     1
9     0.7662286866     1
10    0.3355111720     1
11    0.1062346369     1
12    0.0274580341     1
13    0.6372775088     1
14    0.2368223796     1
15    0.5884416756     1
16   -0.0231435332     1
17   -0.0037247310     1
18    0.5439975554     1
19    0.2622355390     1
20    0.0648237241     1
21    0.3048457869     1
22    0.2582271280     1
23    0.7154661229     1
24    0.7668144645     1
25    0.2237196545     1
26   -0.0174046222     1
27    0.1021834893     1
28    0.2330270041     1
29    0.0640020640     1
30    0.2665624262     1
31    0.3571995322     1
32   -0.2039353446     1
33    0.2176113644     1
34    0.4374028897     1
35    0.5650318856     1
36    0.2057960760     1
37    0.3376517349     1
38   -0.0719127069     1
39    0.5810877302     1
40    0.3232873466     1
41    0.1210911146     1
42    0.8451774823     1
43    0.6554479177     1
44    0.3280345088     1
45   -0.1886250773     1
46    0.8458028379     1
47    0.0301096127     1
48    0.6741709821     1
49    0.0144296745     1
50    0.3990002640     1
51    0.4695452395     1
52    0.3436457162     1
53    0.6598432119     1
54    0.0379981064     1
55    0.6537966390     1
56    0.5340241366     1
57    0.1919530370     1
58    0.2728555764     1
59    0.6888275107     1
60    0.5312461966     1
61    0.1790367101     1
62    0.3826335427     1
63    0.2064404872     1
64    0.2470207681     1
65    0.5759260631     1
66    0.5829190222     1
67   -0.0985784279     1
68    0.6144097143     1
69    0.4522594116     1
70   -0.0052489068     1
71    0.0315020890     1
72    0.2217950823     1
73    0.1962130718     1
74   -0.0080383753     1
75    0.4150633783     1
76    0.1280605668     1
77    0.3824534168     1
78    0.2137112893     1
79    0.5006816251     1
80    0.1139344328     1
81    0.6333567151     1
82    0.3589715047     1
83    0.0749667833     1
84    0.8559724886     1
85    0.8146378982     1
86    0.2774714402     1
87    0.3888358971     1
88    0.3307486495     1
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90    0.2033945832     1
91    0.3321245723     1
92    0.3696995078     1
93    0.3535729249     1
94    0.3322257645     1
95    0.0604439362     1
96    0.5000034490     1
97    0.7683894312     1
98    0.6985385410     1
99    0.1451022583     1
100   0.2466900120     1
101   0.1218683737     1
102   0.6099798302     1
103  -0.0591362373     1
104  -0.8416699670     1
105  -0.3493988414     1
106   0.1088909088     1
107   0.4797100013     1
108   0.0538306313     1
109   0.1190510092     1
110   0.5445341561     1
111   0.2449614850   108
112   0.5809359360     1
113   0.0087772637     1
114   0.1631949871     1
115   0.3501941848     1
116   0.3609713265     1
117   0.3591622842     1
118   0.4737819369     1
119   0.1497270172     1
120   0.2211394685     1
121   0.1466359079     1
122   0.2382250423     1
123   0.5317452205     1
124   0.6376971726     1
125   0.4353419337     1
126   0.7283069426     1
127   0.2944089720     1
128   0.1344001529     1
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130   0.4854365952     1
131  -0.0778930762     1
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133   0.2084795341     1
134   0.7105188693     1
135   0.3602678383     1
136  -0.0090348339     1
137   0.3792601304     1
138   0.5304196435     1
139  -0.0771439026     1
140   0.4680952163     1
141   0.1629015881     1
142  -0.0645864936     1
143   0.0390760326     1
144   0.4465328799     1
145   0.2497546863     1
146   0.1170558822     1
147   0.4191415793     1
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149   0.2940007867     1
150   0.0290283671     1
151   0.2568354741     1
152  -0.2245369127     1
153   0.1881343055     1
154   0.3877030264     1
155   0.0882679387     1
156   0.1878164034     1
157  -0.0100760322     1
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159   0.3560957068     1
160   0.1160519936     1
161   0.1841383532     1
162   0.3563182876     1
163   0.0311080282     1
164  -0.1177067799     1
165   0.4042027038     1
166   0.4043059888     1
167   0.1671537172     1
168   0.8917153277     1
169  -0.0508335075     1
170  -0.1163909195     1
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192   0.6771501698     1
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198   0.4713370776     1
199   0.4551311275     1
200   0.1774855482     1
201   0.7058466784     1
202   0.0560209457     1
203   0.1581851727     1
204   0.5424169442     1
205   0.2819923085     1
206   0.1366815931     1
207   0.3122177029     1
208   0.1716834471     1
209  -0.0579335146     1
210   0.7693200619     1
211   0.2854467717     1
212   0.4960202803     1
213   0.3145097250     1
214   0.2207569314     1
215   0.1138058219     1
216   0.4837649406     1
217   0.2839463413     1
218   0.4948218758     1
219   0.2793955942     1
220   0.2597330165     1
221   0.5821602542     1
222   0.0752454810     1
223   0.3098030576     1
224   0.0857884073     1
225  -0.0080169438     1
226   0.5440046198     1
227   0.1418764230     1
228   0.7677098381     1
229   0.3263158303     1
230   0.2055903239     1
231   0.1643560599     1
232   0.2394843879     1
233  -0.0549629185     1
234   0.2029986069     1
235   0.0955332784     1
236   0.5005364837     1
237   0.3781310230     1
238   0.2225660264     1
239   0.3650727006     1
240  -0.3076614015     1
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242   0.3182789350     1
243   0.5884433529     1
244   0.6760797492     1
245   0.6782233261     1
246  -0.2723648437     1
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248   0.5896231720     1
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250   0.0899990931     1
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252   0.0058872679     1
253  -0.0368859806     1
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255   0.2725121493     1
256   0.2980752018     1
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262   0.7151003587     1
263   0.5642643760     1
264  -0.0869078980     1
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266  -0.1976696764     1
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269   0.0952942338     1
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272   0.4067234702     1
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275   0.4257208627     1
276   0.5882721615     1
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280   0.2994440720     1
281   0.6632640656     1
282   0.4691036779     1
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285   0.3438925224     1
286   0.2521511446     1
287  -0.0806621520     1
288   0.4126897726     1
289   0.6500065129     1
290   0.2475734673     1
291   0.0782295021     1
292   0.2931136563     1
293   0.2848091190     1
294   0.5298157306     1
295   0.2419196858     1
296  -0.3118269147     1
297   0.7595289121     1
298   0.6295063400     1
299   0.2701684814     1
300   0.5642089107     1
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953  -0.0892479529     1
954   0.3717418295     1
955  -0.1951650105     1
956   0.5292947313     1
957   0.0534299191     1
958   0.1971033670     1
959  -0.0209127881     1
960   0.0151521625     1
961   0.0456146277     1
962   0.4237870949     1
963   0.3939505620     1
964   0.2292742420     1
965   0.0994751293     1
966   0.3152814804     1
967   0.1561368195     1
968   0.7109065928     1
969   0.2478216980     1
970   0.1001988709     1
971   0.1570268898     1
972   0.5288645090     1
973   0.4847657665     1
974   0.1534340506     1
975   0.1737305509     1
976   0.3700730166     1
977   0.5760478947     1
978   0.5419765856     1
979   0.4571893972     1
980   0.4534370619     1
981   0.5619973046     1
982   0.5470634290     1
983   0.6738875095     1
984   0.1898874505     1
985   0.3306532507     1
986   0.4494931593     1
987  -0.0908731634     1
988   0.2788365722     1
989   0.2568866539     1
990   0.0890053765     1
991   0.0241657142     1
992   0.5189528518     1
993   0.4793493546     1
994  -0.0057507404     1
995   0.4000382424     1
996  -0.4098342669     1
997   0.2144471136     1
998   0.4216099095     1
999   0.6405794603     1
1000  0.2081078709     1

$Forests
$Forests[[1]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 380000, 378000,      492500, 352000, 377000, 410000, 388000, 355000, 360000, 370000,      430000, 345000, 385000, 650000, 4e+05, 358000, 363000, 440000,      340000), floor_area_sqm = c(93, 92, 84, 108, 84, 98, 103,      98, 84, 83, 84, 104, 84, 91, 104, 104, 84, 84, 91, 84), storey_order = c(3L,      1L, 3L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 3L, 2L, 1L, 1L, 3L, 2L,      3L, 4L, 5L, 1L), remaining_lease_mths = c(790, 767, 799,      912, 800, 735, 799, 728, 782, 803, 777, 781, 789, 715, 815,      783, 770, 780, 669, 780), PROX_CBD = c(7.92065359752155,      8.01258306529517, 8.15960948514705, 8.12312779702036, 8.28689365911172,      8.07728506382532, 8.31972436488376, 8.19895861369783, 7.37752466520609,      8.52567265657093, 7.32999369210923, 7.27303659463988, 7.23308787648785,      8.8262745849674, 7.71625132507906, 6.8579883001408, 6.82164733234375,      6.82164733234375, 6.95185067667089, 6.73119135364588), PROX_ELDERLYCARE = c(1.44631042678071,      1.38923408288603, 1.45090119588013, 1.71708078323557, 1.3668692597991,      1.22552837794249, 1.3912791419992, 1.1658248464307, 1.11141904944431,      1.23693676843424, 1.04617467786566, 0.949520652768775, 0.804640181087392,      0.896855030989675, 1.13999552495818, 0.650979480304367, 0.729511559050305,      0.729511559050305, 0.368543492371998, 0.709869492714774),          PROX_HAWKER = c(0.646393168274836, 0.532883444787396,          0.40344417957638, 0.581802643409563, 0.269406334629514,          0.503102516785602, 0.252588085280054, 0.391405491562813,          1.06790139631185, 0.0724679807682574, 1.00458194418859,          0.905159668549179, 0.727393295990439, 0.311054993693233,          0.888477780938884, 0.732876252375814, 0.834207881424508,          0.834207881424508, 0.163396016993116, 0.84617550022745         ), PROX_MRT = c(0.434970780163821, 0.57194553577364,          0.408889372474398, 0.142211914808532, 0.467794692056616,          0.711885268750489, 0.44379796826936, 0.707144761815547,          0.450606800129455, 0.510058766918036, 0.446590670593176,          0.477339162120678, 0.626719191507479, 0.17731989795878,          0.227897729387739, 0.479854345281657, 0.401668294921849,          0.401668294921849, 0.258776848421036, 0.447149108468339         ), PROX_PARK = c(0.790688256163915, 0.580004121625521,          0.650146210437373, 0.921087542045637, 0.570592214216024,          0.413960848298732, 0.59965919275643, 0.372450573927522,          1.30417314517193, 0.557643312318536, 1.30043300411079,          1.28136359713013, 1.17683143601381, 0.458605630557841,          0.374132090410645, 1.26891760289394, 1.33915084667526,          1.33915084667526, 0.871860056746433, 1.30601230217613         ), PROX_GOOD_PRISCH = c(2.86596411907387, 2.75227504535898,          2.95345383530684, 3.16123688190063, 2.99359805566516,          2.66084492380109, 3.04207330950824, 2.73491137460549,          2.87682745937193, 3.13534109620979, 2.81856751915823,          2.72285479219865, 2.53413597667736, 2.8424495793979,          1.93537396204111, 2.57894825178105, 2.67483404440455,          2.67483404440455, 1.99104033276262, 2.67147237000904),          PROX_MALL = c(2.02812113432733, 2.11322307221905, 2.20417563031698,          2.25269448786787, 2.09618768409308, 2.0316459728171,          2.10790194839897, 1.94983703099632, 1.52964479685301,          1.96281231550532, 1.4733570331857, 1.40144317349524,          1.33824767405872, 1.64561868645684, 1.9342939090943,          0.985446043286547, 0.977306285381771, 0.977306285381771,          1.10491400246256, 0.894914409230097), PROX_CHAS = c(0.0418426354504526,          0.1333322783253, 0.102408834624747, 0.169904154790832,          0.229330661012247, 0.279534674537085, 0.261198443001062,          0.293834776478611, 0.123680988169118, 0.169369143123463,          0.100781853121145, 0.150676124399865, 0.335243362149438,          0.221229860630612, 0.147762521806201, 0.418063314797021,          0.389404577789016, 0.389404577789016, 0.197049444171332,          0.468632365618207), PROX_SUPERMARKET = c(0.6226371739075,          0.475213328012689, 0.391977689272912, 0.496146947525001,          0.266710264104055, 0.412975566732202, 0.272257424647181,          0.293834967432244, 0.15284622075069, 0.169391527985645,          0.154588063793208, 0.216512452964216, 0.400791637001426,          0.221249484047241, 0.185503456748824, 0.471666412940503,          0.457775852816324, 0.457775852816324, 0.145490551360364,          0.541263540151477), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 3L,          0L, 0L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 2L,          2L, 1L, 2L, 2L, 3L, 3L, 5L, 3L, 4L, 4L, 2L, 2L, 3L, 1L,          1L, 1L, 3L, 2L), WITHIN_350M_BUS = c(6L, 6L, 7L, 8L,          7L, 6L, 9L, 7L, 9L, 8L, 8L, 7L, 4L, 5L, 6L, 3L, 4L, 4L,          4L, 4L), WITHIN_1KM_PRISCH = c(3L, 2L, 1L, 1L, 1L, 2L,          1L, 1L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L         ), DNeighbour = c(0, 216.461368256164, 235.976717832668,          299.820923234062, 371.989017832288, 374.19107548357,          403.683637410305, 443.498935587027, 605.514688125721,          610.445990290217, 634.741773353067, 669.321385113752,          696.580684340234, 952.00152168024, 983.961932641044,          1073.06026991167, 1117.04635471723, 1117.73393152475,          1126.0906971293, 1211.67440503118)), row.names = c("1",      "200", "327", "669", "266", "395", "540", "29", "948", "404",      "187", "611", "171", "814", "809", "168", "46", "322", "492",      "529"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.937189409305799,      0.925581440568534, 0.881292356435809, 0.820380306704427,      0.818354165610155, 0.790326704959397, 0.75000489500545, 0.562899223268955,      0.556787398385043, 0.526460345465146, 0.482831989565246,      0.448230735831234, 0.146451522293361, 0.115971352039096,      0.0465310495467742, 0.0225284274297322, 0.0222153420362504,      0.0185712100741513, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4005561462 
R squared (OOB):                  0.1756063 

$Forests[[2]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(265000, 250000, 275000,      270000, 255000, 245000, 359900, 355000, 370000, 3e+05, 298000,      303888, 330000, 350000, 279000, 305000, 303000, 316000, 318000,      297000), floor_area_sqm = c(91, 97, 98, 97, 91, 88, 93, 93,      93, 96, 93, 93, 103, 103, 91, 91, 92, 92, 91, 91), storey_order = c(2L,      4L, 4L, 2L, 4L, 2L, 3L, 3L, 5L, 4L, 1L, 2L, 2L, 4L, 2L, 4L,      1L, 3L, 1L, 3L), remaining_lease_mths = c(724, 708, 689,      687, 686, 668, 1117, 1111, 1106, 791, 777, 782, 773, 768,      801, 791, 794, 781, 765, 788), PROX_CBD = c(19.4237844042343,      19.2477081153014, 19.3611499271018, 19.1998859465191, 19.1428796063974,      18.8842060529579, 18.8127816342995, 18.8127816342995, 18.8127816342995,      18.5761736305699, 18.5252470382495, 18.5252470382495, 18.4499801912104,      18.3186881593276, 18.2989051402725, 18.2610111258248, 18.2139172788048,      18.2234963781047, 18.2234963781047, 18.1476771148045), PROX_ELDERLYCARE = c(0.695760303539868,      0.533620939869422, 0.67405856369397, 0.482976337773198, 0.457204003422965,      0.229103995883471, 0.176499517448139, 0.176499517448139,      0.176499517448139, 0.0638277150498875, 0.449194476018676,      0.449194476018676, 0.504778052376495, 0.586525817031338,      0.397078044127006, 0.421521882373529, 0.649170232100017,      0.448333702611612, 0.448333702611612, 0.519546459890619),          PROX_HAWKER = c(0.430278742731878, 0.435575948420033,          0.578426076793613, 0.407382567332432, 0.491246203286744,          0.280513302960552, 0.325560722493799, 0.325560722493799,          0.325560722493799, 0.562029876499453, 0.69553534809229,          0.69553534809229, 0.652207052169444, 0.564283191409187,          0.491047773869601, 0.453171307776496, 0.488031980714328,          0.416527045274471, 0.416527045274471, 0.209390724873544         ), PROX_MRT = c(1.37619150821735, 1.17336842789895, 1.24242318119045,          1.13705578024219, 1.0490560030484, 1.03601464731326,          1.04083770509984, 1.04083770509984, 1.04083770509984,          0.874368880716004, 0.398456142880405, 0.398456142880405,          0.322534237265928, 0.220618943711049, 0.552168886353884,          0.547550551918807, 0.192826481399443, 0.545975779093886,          0.545975779093886, 0.491311596778589), PROX_PARK = c(0.899998771522662,          0.715290586226954, 0.694921724836528, 0.708199402424467,          0.602588748705797, 0.579556587207627, 0.51923222906617,          0.51923222906617, 0.51923222906617, 0.287868908027907,          0.491317901173298, 0.491317901173298, 0.536975621309476,          0.548488124002706, 0.287159802467115, 0.272660801967067,          0.532358306258428, 0.264257474455249, 0.264257474455249,          0.270911567278729), PROX_GOOD_PRISCH = c(10.4013344251086,          10.2559210914134, 10.393420977377, 10.205087741046, 10.1724586401982,          9.83133063879426, 9.7422556358987, 9.7422556358987, 9.7422556358987,          9.51590189269927, 9.63394268044443, 9.63394268044443,          9.56762880935522, 9.44179125712709, 9.19982386356694,          9.16752282736586, 9.33501569353139, 9.1355701416359,          9.1355701416359, 9.18618174729203), PROX_MALL = c(1.44800971701603,          1.28177138580973, 1.41164243574585, 1.23204265332191,          1.19002137667581, 0.91348864249693, 0.856774663098642,          0.856774663098642, 0.856774663098642, 0.624506085881379,          0.705200807731176, 0.705200807731176, 0.662291407978718,          0.574856358668165, 0.486326630506135, 0.448092738738542,          0.498813518897969, 0.411037179701155, 0.411037179701155,          0.218975149940797), PROX_CHAS = c(0.141128343720225,          0.34509608786971, 0.346579909600863, 0.377747950290313,          0.472048134528426, 0.241229981070425, 0.2593611752042,          0.2593611752042, 0.2593611752042, 0.0792988689034794,          0.240425442805127, 0.240425442805127, 0.201478871858691,          0.141159289664064, 0.0660681856594747, 0.0964740211655948,          0.0363398547195702, 0.132763801624598, 0.132763801624598,          0.218975205360203), PROX_SUPERMARKET = c(1.36375821567757,          1.16090501353567, 1.22987785443232, 1.12464344461301,          1.03656246660954, 0.911876453557648, 0.856773769273042,          0.856773769273042, 0.856773769273042, 0.625539331690589,          0.386130046709882, 0.386130046709882, 0.310351384739933,          0.210011389308567, 0.490326509583637, 0.457654559995222,          0.186956242757619, 0.421116980529575, 0.421116980529575,          0.206881250620068), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 2L, 2L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L,          0L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(0L, 2L,          2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 4L, 2L, 2L,          5L, 2L, 2L, 3L), WITHIN_350M_BUS = c(6L, 9L, 8L, 10L,          6L, 13L, 16L, 16L, 16L, 10L, 8L, 8L, 9L, 10L, 6L, 6L,          9L, 6L, 6L, 7L), WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 1L,          1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 2L, 4L,          4L, 3L), DNeighbour = c(0, 207.409615306615, 219.041547647401,          241.185457425588, 332.510496141927, 571.103738975806,          669.705340036055, 673.170375642963, 678.322733394364,          887.822494223703, 980.144291768597, 982.666887795645,          1054.91298339632, 1175.42967005483, 1214.35614620505,          1244.26267753861, 1267.260635977, 1271.36728785325, 1273.77640787308,          1280.74285445221)), row.names = c("2", "981", "972",      "193", "484", "96", "604", "418", "637", "78", "11", "106",      "810", "367", "433", "905", "481", "202", "47", "827"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.948235587613526, 0.942355138155371, 0.930331170585684,      0.86973496199303, 0.641855607358643, 0.527906272018049, 0.523792128734972,      0.517665382953067, 0.269840000400187, 0.171665808300837,      0.169173571379238, 0.10340289678806, 0.0248676909548209,      0.0101974143948618, 0.00315348502783067, 0.0004386064277999,      0.00021278749752358, 0.00011770454147188, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       618876101 
R squared (OOB):                  0.5511252 

$Forests[[3]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(362500, 367000, 412000,      360000, 380000, 425000, 408000, 420000, 468000, 425000, 455000,      393000, 390000, 385000, 448000, 450000, 450000, 520000, 380000,      415000), floor_area_sqm = c(103, 104, 104, 84, 106, 104,      105, 106, 106, 104, 113, 103, 109, 84, 116, 106, 106, 93,      107, 103), storey_order = c(3L, 1L, 2L, 3L, 1L, 2L, 1L, 3L,      5L, 3L, 5L, 2L, 1L, 2L, 3L, 2L, 4L, 3L, 2L, 3L), remaining_lease_mths = c(819,      879, 878, 811, 887, 801, 797, 874, 863, 871, 824, 818, 889,      815, 827, 919, 834, 1133, 871, 834), PROX_CBD = c(14.3801998083441,      14.66420827852, 14.1313829663274, 14.7472020389823, 15.0291078847704,      13.9224032790502, 13.8987191813532, 13.629257933267, 13.629257933267,      14.0236082538335, 14.8805910833212, 14.8805910833212, 14.7712425946156,      13.8115996810708, 15.1039483662242, 13.6245617307962, 15.1256206124729,      13.7835124985007, 15.2330821453909, 15.1256206124729), PROX_ELDERLYCARE = c(0.709377020411434,      0.719957479461771, 0.836104821253693, 1.19052284520552, 1.09928331705025,      0.160860892679658, 0.166628987045545, 0.207468408301612,      0.207468408301612, 1.09340394122649, 1.53481387371296, 1.53481387371296,      0.729534612359916, 0.244605555667631, 1.55233595008815, 0.120631950903102,      1.5866097118695, 1.04590518035641, 1.22808745848404, 1.5866097118695     ), PROX_HAWKER = c(0.928921275219278, 1.17971772396452, 0.73352935155883,      0.606039227085063, 1.15922930524208, 1.57003684649171, 1.60647998640073,      1.4012681206183, 1.4012681206183, 0.594999289424802, 0.395563323563994,      0.395563323563994, 1.70286767909083, 1.71143518366979, 0.672854909342646,      1.48009929412898, 0.674198133913936, 0.817574416707151, 1.40985252978436,      0.674198133913936), PROX_MRT = c(1.02650412956774, 1.12495588646837,      0.735653331318593, 0.807097621625513, 1.36685465541241, 0.375491068655226,      0.337555536848429, 0.681065013996815, 0.681065013996815,      0.469886084443941, 0.650195396152393, 0.650195396152393,      1.0665313702167, 0.198072339225813, 0.927742831261867, 0.357520644011877,      0.930587839854138, 0.648112836468654, 1.62235809597188, 0.930587839854138     ), PROX_PARK = c(0.71485218383349, 0.823954351824118, 0.463826523913091,      0.432698189125414, 0.808345234949979, 0.819174175884815,      0.83983547285748, 0.403276931712581, 0.403276931712581, 0.504422356794811,      0.355836862982211, 0.355836862982211, 0.405128535389849,      0.925135888784, 0.613453702116727, 0.731000545087102, 0.625625874274951,      0.438074957540257, 0.633472210001671, 0.625625874274951),          PROX_GOOD_PRISCH = c(2.72778429145315, 2.99834463762659,          2.52734391167264, 3.13467644284063, 3.36640767040689,          2.26578798898653, 2.24487256678893, 1.96779323327463,          1.96779323327463, 2.51794344218072, 3.33079371618761,          3.33079371618761, 3.13265552080448, 2.17137072991142,          3.51513652285447, 1.96554365084008, 3.54140201350838,          2.3007469286795, 3.56691345353299, 3.54140201350838),          PROX_MALL = c(0.949257633150117, 0.669111824361406, 0.66282583229379,          0.738705771798207, 0.486526360127578, 1.34118728457461,          1.33259876169033, 1.12429495075828, 1.12429495075828,          0.418819234777705, 0.390496575840073, 0.390496575840073,          0.541352629222412, 1.25122768833936, 0.472438990852491,          1.05956757611768, 0.445444903624544, 0.615576551193732,          0.253259472709144, 0.445444903624544), PROX_CHAS = c(0.453083161817035,          0.38494516455544, 0.528800676490504, 0.19051372613691,          0.228652490110126, 0.0806372798138111, 0.0582471476749484,          0.260044927245007, 0.260044927245007, 0.151261605672147,          0.448788349522024, 0.448788349522024, 0.220588325506638,          0.130123043615932, 0.353464796953762, 2.17172157220984e-06,          0.387886097439527, 0.253975316505048, 0.210576528602503,          0.387886097439527), PROX_SUPERMARKET = c(0.513065398645433,          0.384052647553184, 0.528799775767506, 0.326764101800336,          0.234691730121176, 0.189550835904173, 0.2065347950197,          0.288903462518554, 0.288903462518554, 0.151260689076964,          0.447693008221967, 0.447693008221967, 0.49532093691776,          0.30366394922488, 0.429218479578941, 0.237807435452358,          0.411626017932148, 0.253974877653299, 0.21397076195142,          0.411626017932148), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 0L, 3L, 2L, 3L, 2L, 3L, 3L, 0L, 2L, 2L, 0L, 0L, 2L,          3L, 2L, 0L, 3L, 2L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 2L, 3L, 3L, 3L, 6L, 6L, 4L, 3L, 3L, 3L, 3L, 2L, 5L,          2L, 2L, 3L, 2L), WITHIN_350M_BUS = c(2L, 7L, 6L, 9L,          8L, 9L, 9L, 6L, 6L, 12L, 5L, 5L, 8L, 10L, 7L, 10L, 6L,          6L, 12L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 3L, 3L,          3L, 4L, 2L, 2L, 2L, 2L, 2L, 1L, 5L, 3L, 4L, 3L, 2L, 3L,          3L), DNeighbour = c(0, 392.709761042428, 399.488949567881,          497.692187264743, 661.493961861219, 701.937369605872,          736.768783069963, 762.137865164597, 765.653806489523,          766.479547417181, 820.736843049747, 825.894829615863,          866.700134952218, 876.825512059169, 877.913273343619,          892.239380029216, 907.886801629154, 912.822968938612,          913.447290141493, 917.18264143907)), row.names = c("3",      "686", "695", "136", "314", "219", "531", "503", "415", "51",      "852", "639", "527", "235", "188", "656", "457", "380", "428",      "233"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.666951129774113,      0.656564458805456, 0.497802300242796, 0.230242789948381,      0.171633482518972, 0.125823564172555, 0.0957983773940958,      0.0918863670067076, 0.0909768610026466, 0.039701107588451,      0.0357796153180082, 0.0114601720431177, 0.00740740435366321,      0.00702198400818542, 0.0028784779885992, 0.000406736121619829,      8.99475353952728e-05, 6.60755391184512e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2329245019 
R squared (OOB):                  -0.3920752 

$Forests[[4]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 365000, 369988,      435000, 437000, 330000, 403000, 385000, 425000, 473800, 370000,      450000, 353000, 398888, 385000, 405000, 450000, 452000, 370000,      470000), floor_area_sqm = c(92, 91, 91, 94, 94, 85, 90, 93,      90, 90, 93, 94, 93, 93, 93, 93, 95, 95, 90, 93), storey_order = c(3L,      5L, 4L, 2L, 3L, 4L, 3L, 5L, 2L, 6L, 3L, 4L, 1L, 6L, 4L, 6L,      3L, 3L, 3L, 5L), remaining_lease_mths = c(1059, 993, 1002,      1113, 1120, 992, 1053, 1140, 1139, 1140, 1127, 1123, 1136,      1127, 1138, 1138, 1126, 1121, 997, 1125), PROX_CBD = c(13.6873856248974,      13.2138793761114, 13.2138793761114, 14.0214886887106, 14.0691382395842,      13.0825190214061, 14.2313196249897, 12.9599687546274, 14.4131933766039,      14.4131933766039, 12.9599687546274, 14.0429369190019, 12.9273038019752,      12.9439612539798, 12.9439612539798, 12.9439612539798, 14.1366846915735,      14.2856092918761, 13.5299248791723, 14.2374266118925), PROX_ELDERLYCARE = c(0.720975229682918,      0.200446926946864, 0.200446926946864, 1.04333655871926, 1.08280856328681,      0.120371550198491, 1.23431696680562, 0.230213196902471, 1.43140028556732,      1.43140028556732, 0.230213196902471, 1.1015647640471, 0.250608726248769,      0.119102012768026, 0.119102012768026, 0.119102012768026,      1.17371591683522, 1.29536834443332, 0.737190256849548, 1.2819446304668     ), PROX_HAWKER = c(1.83406121528111, 1.87231067409155, 1.87231067409155,      1.2014358291776, 1.21079813450924, 1.90213677974947, 1.20453145676494,      2.16699861471209, 1.70733975651849, 1.70733975651849, 2.16699861471209,      1.07710025413616, 2.14952956067865, 2.07494386608678, 2.07494386608678,      2.07494386608678, 1.09084844555913, 1.14967766552968, 1.28441999759135,      1.02089221118434), PROX_MRT = c(0.19923660487806, 0.348476568009787,      0.348476568009787, 0.325652198483679, 0.281224364060027,      0.30821900832469, 0.14509881944895, 0.576831878931421, 0.160895515953214,      0.160895515953214, 0.576831878931421, 0.324573358240557,      0.585364307317434, 0.464899886897548, 0.464899886897548,      0.464899886897548, 0.218319465176875, 0.0748886383392391,      0.189597864599581, 0.148741201515391), PROX_PARK = c(0.855123415409032,      0.701388397724732, 0.701388397724732, 0.524931496780237,      0.468913262301943, 0.557623544885242, 0.30799989212087, 0.828547076231476,      0.362779794623634, 0.362779794623634, 0.828547076231476,      0.58019258504408, 0.834972281659159, 0.700809394437081, 0.700809394437081,      0.700809394437081, 0.474063272255088, 0.297003339879563,      0.695004999747215, 0.440474428767772), PROX_GOOD_PRISCH = c(4.98236347160825,      4.43819501492863, 4.43819501492863, 5.02043421457898, 5.07622831499557,      4.27923006279343, 5.24106386657147, 4.35761410397793, 5.6363766911051,      5.6363766911051, 4.35761410397793, 4.9857651679507, 4.33782029579385,      4.27162250172191, 4.27162250172191, 4.27162250172191, 5.09375212835948,      5.27158847877433, 4.45977917937361, 5.16870486361587), PROX_MALL = c(0.138188079312201,      0.411800643307333, 0.411800643307333, 0.399157770965225,      0.352184781664103, 0.482494809972804, 0.200492724858517,      0.630320880177991, 0.596976127865625, 0.596976127865625,      0.630320880177991, 0.401409437181884, 0.664096204002356,      0.646092130793046, 0.646092130793046, 0.646092130793046,      0.295276560881227, 0.136646142991964, 0.598877544697789,      0.22058685557285), PROX_CHAS = c(0.138188055488585, 0.186991486151685,      0.186991486151685, 0.142774662207743, 0.167321001424632,      0.1115602293269, 0.200492722653611, 0.256311352337612, 0.168005379342294,      0.168005379342294, 0.256311352337612, 0.0207330025336023,      0.273668945808659, 0.136400058110832, 0.136400058110832,      0.136400058110832, 0.0995517477546361, 0.136646133179357,      0.124645472322039, 0.177995101264401), PROX_SUPERMARKET = c(0.147450463248511,      0.40197012970004, 0.40197012970004, 0.142773459146917, 0.167319845962294,      0.482493892596986, 0.210915135620544, 0.621743565428055,      0.168006305985119, 0.168006305985119, 0.621743565428055,      0.0207321820187816, 0.655577492568061, 0.636728053790567,      0.636728053790567, 0.636728053790567, 0.0995512052866983,      0.146294584623949, 0.181636181040517, 0.177995229543633),          WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 1L, 1L, 0L,          0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 4L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 5L, 6L, 8L, 7L,          6L, 3L, 4L, 4L, 3L, 6L, 3L, 4L, 4L, 4L, 8L, 6L, 5L, 8L         ), WITHIN_350M_BUS = c(7L, 2L, 2L, 9L, 9L, 4L, 6L, 3L,          6L, 6L, 3L, 9L, 3L, 3L, 3L, 3L, 8L, 8L, 8L, 6L), WITHIN_1KM_PRISCH = c(5L,          6L, 6L, 7L, 7L, 5L, 6L, 4L, 4L, 4L, 4L, 7L, 4L, 4L, 4L,          4L, 7L, 7L, 6L, 7L), DNeighbour = c(0, 544.940873730205,          545.39844393016, 634.691241062754, 638.3277267291, 701.393768141993,          721.093664650788, 722.988340730199, 727.004756169835,          728.459897239354, 728.825736340222, 754.857539787527,          756.590345602626, 760.765633319148, 761.426105162991,          762.422034417489, 766.200502244567, 797.905049155804,          813.391916702616, 855.765202684695)), row.names = c("4",      "474", "313", "878", "57", "886", "283", "95", "403", "258",      "990", "754", "462", "936", "732", "882", "76", "32", "165",      "537"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.353431734664744,      0.352622184026238, 0.20243950797401, 0.196791132331943, 0.107741071818615,      0.0840850519728255, 0.0819322694823057, 0.0774429794294181,      0.0758417409372503, 0.0754413029196059, 0.0492512726567056,      0.0476767130989358, 0.0439736755253941, 0.0433998010791202,      0.042540650434775, 0.0393494437285114, 0.017070195642413,      0.00932739210776786, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       901517738 
R squared (OOB):                  0.4688551 

$Forests[[5]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 362000, 340000,      348000, 325000, 338000, 315000, 293000, 355000, 326000, 336000,      320000, 340000, 335000, 308000, 303888, 333000, 373888, 375000,      395000), floor_area_sqm = c(95, 94, 102, 95, 90, 94, 87,      86, 94, 101, 90, 91, 90, 90, 90, 90, 90, 93, 93, 92), storey_order = c(5L,      4L, 2L, 1L, 4L, 2L, 5L, 1L, 4L, 1L, 2L, 1L, 4L, 5L, 2L, 5L,      2L, 5L, 5L, 3L), remaining_lease_mths = c(977, 976, 968,      968, 973, 1076, 1004, 1006, 1070, 942, 966, 980, 1011, 998,      948, 1008, 1009, 990, 993, 1132), PROX_CBD = c(18.2449080671561,      18.3273029006797, 18.6342583478867, 18.0323194354466, 18.5353901232527,      18.893500205596, 18.9558501171738, 18.9558501171738, 18.9417612550563,      17.6460086713989, 18.263890012402, 18.4122801485573, 18.5954829873069,      18.976831626196, 17.5548574672099, 19.0279685600245, 17.8072819651564,      17.8363687874637, 17.8363687874637, 18.4477570786683), PROX_ELDERLYCARE = c(2.54228790651909,      2.7120525382807, 2.72992435028626, 2.88259030935981, 3.18651864771223,      3.10102691254995, 3.04148171914245, 3.04148171914245, 3.09832013994742,      2.69583292953839, 2.93603771613334, 3.05606256580079, 3.21245115339435,      3.28231449363414, 2.64072586785555, 3.26154359027314, 1.52664538751384,      1.40920769604983, 1.40920769604983, 1.45029388933935), PROX_HAWKER = c(0.859760115655931,      0.729165861663657, 0.947673142820091, 0.459055170630849,      0.491879726860981, 0.926259022488312, 1.03425383708264, 1.03425383708264,      0.981837341088666, 0.543702723258422, 0.135415800319106,      0.284310921582288, 0.468862715548992, 0.923592674397851,      0.624754154933827, 0.990561993667382, 0.809141875883089,      0.692541487012902, 0.692541487012902, 0.879695992543251),          PROX_MRT = c(0.597257652192269, 0.470919202147399, 0.717283111076423,          0.228324090957444, 0.375479822529604, 0.777214903782309,          0.87145727172961, 0.87145727172961, 0.831940647091921,          0.514213843772978, 0.269488316579814, 0.34633408104891,          0.485913485771313, 0.822784932057268, 0.605396305517498,          0.880588410111357, 0.753928873695942, 0.634260663268818,          0.634260663268818, 0.801027338961469), PROX_PARK = c(1.66089445329223,          1.51959638840156, 1.68545701841371, 1.25712692932115,          1.15334089580929, 1.53153013283021, 1.64892029001525,          1.64892029001525, 1.58031197441792, 0.873328686748902,          0.826451671225411, 0.872887750975024, 0.966363588730214,          1.4431849310919, 0.801838254358626, 1.5140651316136,          1.93736074272598, 2.04440878541867, 2.04440878541867,          2.38376543636855), PROX_GOOD_PRISCH = c(8.59525181849715,          8.6741083827629, 8.98296462693421, 8.37645219680457,          8.87993213136606, 9.23793284137011, 9.30119351841798,          9.30119351841798, 9.2863930262578, 7.99076792195858,          8.61262144573917, 8.76068312560123, 8.94334048589707,          9.32093903042593, 7.89964805631792, 9.37202430611723,          8.21423979230025, 8.25468587074647, 8.25468587074647,          8.8804818877731), PROX_MALL = c(0.537890109309282, 0.437943127987326,          0.719594778264249, 0.12060760008054, 0.460655941356388,          0.833273819621717, 0.918650450187965, 0.918650450187965,          0.886414086630636, 0.441435937338541, 0.374925429890344,          0.458641270318743, 0.594166870248601, 0.897736377807805,          0.456293365362214, 0.951179576311185, 0.745769461616378,          0.630636123898788, 0.630636123898788, 0.601716003339109         ), PROX_CHAS = c(0.274147949012332, 0.319053536773146,          0.294409401108374, 0.120607657412939, 0.165734202429707,          0.143741090403558, 0.067384164825537, 0.067384164825537,          0.0880613138842689, 0.441435968696221, 0.0541347282504724,          0.182706372800723, 0.186588167457245, 0.237819060284531,          0.456293399812874, 0.184556275618948, 0.195830090979757,          0.221589023831152, 0.221589023831152, 0.260006933015678         ), PROX_SUPERMARKET = c(0.161035318973668, 0.198027823348086,          0.247755307750907, 0.119017844673248, 0.167679568764744,          0.218188374485768, 0.102761308178796, 0.102761308178796,          0.175726554209016, 0.446325988440648, 0.0541355525390397,          0.182706945219403, 0.195869762300225, 0.322795161753339,          0.425112192123464, 0.3125742651816, 0.265666518411173,          0.22158921197453, 0.22158921197453, 0.260005577706646         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 2L, 2L, 2L,          2L, 2L, 2L, 1L, 0L, 2L, 2L, 3L, 1L, 2L, 1L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 6L, 4L, 4L, 7L, 4L,          4L, 4L, 4L, 2L, 5L, 7L, 4L, 4L, 2L, 2L, 2L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(9L, 12L, 5L, 14L, 12L, 8L, 8L,          8L, 8L, 11L, 11L, 12L, 10L, 9L, 8L, 6L, 4L, 6L, 6L, 8L         ), WITHIN_1KM_PRISCH = c(5L, 5L, 4L, 4L, 5L, 4L, 4L,          4L, 4L, 3L, 4L, 5L, 5L, 4L, 2L, 4L, 3L, 3L, 3L, 3L),          DNeighbour = c(0, 178.22863736979, 394.257528380482,          454.276588712184, 651.263012269771, 737.412742482577,          750.497281056441, 754.474441394517, 773.543720309677,          841.635749727393, 847.380642366777, 856.331074469272,          889.89978611826, 891.783305891207, 906.615573777529,          909.964262609577, 1041.19376492818, 1139.92530817452,          1149.91448772335, 1283.98730360164)), row.names = c("5",      "873", "7", "354", "838", "745", "52", "951", "932", "456",      "548", "722", "901", "915", "514", "570", "358", "391", "118",      "504"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.961835527578916,      0.820321263415712, 0.765317947009982, 0.551645897565839,      0.44911799310225, 0.433429525936575, 0.428662252413284, 0.40583113697028,      0.325285496702435, 0.318606518912618, 0.308250257707871,      0.270032730204481, 0.267921352412923, 0.251433485258388,      0.24774669418472, 0.117258649800253, 0.0448631590522067,      0.0391782149723553, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       432864334 
R squared (OOB):                  0.3743351 

$Forests[[6]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 421000, 425000,      392000, 315000, 670000, 7e+05, 430000, 350880, 350000, 385000,      388000, 540000, 415000, 4e+05, 475000, 374000, 505000, 463888,      5e+05), floor_area_sqm = c(93, 93, 108, 103, 91, 92, 92,      91, 91, 105, 104, 104, 92, 92, 104, 93, 103, 92, 95, 92),          storey_order = c(4L, 4L, 3L, 2L, 1L, 5L, 4L, 4L, 2L,          1L, 4L, 3L, 6L, 2L, 2L, 4L, 2L, 4L, 1L, 3L), remaining_lease_mths = c(788,          789, 820, 833, 790, 1121, 1126, 777, 785, 837, 740, 751,          1142, 1130, 822, 1130, 862, 1051, 1140, 1049), PROX_CBD = c(10.7402382849343,          10.8005053894847, 10.7884209511687, 10.8307618753175,          10.6917699702976, 11.0595651330709, 11.1573644039326,          10.4167519306418, 10.3813809316332, 10.9742090734032,          10.2659136784881, 10.2659136784881, 11.3687765497058,          11.3687765497058, 10.8294299245227, 11.4536743231806,          11.0478583208432, 11.4388659085475, 11.4133195883395,          11.4975151935682), PROX_ELDERLYCARE = c(1.05196585123006,          1.11154389564577, 1.11323464510705, 1.12487398858542,          1.07660186858624, 1.41694161867716, 1.34447435494956,          0.852176862644424, 0.833489789321986, 0.852070403211021,          0.737818764037149, 0.737818764037149, 1.27208236570677,          1.27208236570677, 0.925828280583076, 1.19895989384568,          0.694826263841934, 0.529438756707198, 1.61512702812623,          0.485429735975203), PROX_HAWKER = c(1.02652926791064,          0.918995125488027, 0.812377793689625, 0.775872885593274,          1.35937058559257, 1.19495083476736, 1.10011050744246,          1.55256346901264, 1.5910354083573, 0.487483409830997,          1.65941342147148, 1.65941342147148, 1.07923254025891,          1.07923254025891, 0.558859907936318, 1.02903329925728,          0.33156405975617, 0.319632581294072, 1.4377955077332,          0.320302217757218), PROX_MRT = c(0.546812793492647, 0.566932323762424,          0.526269526678983, 0.568072215940967, 0.753106278920522,          0.991329354536752, 0.876646963171676, 0.686459009674335,          0.699917284291438, 0.534522073584246, 0.684374477874155,          0.684374477874155, 0.671331594421278, 0.671331594421278,          0.633065114071651, 0.573574303209013, 0.413251174688675,          0.264110896255266, 0.8250506195824, 0.24936700359253),          PROX_PARK = c(0.401614025373747, 0.370936327890873, 0.467051942358664,          0.443949121553361, 0.536819237128991, 0.275833477585303,          0.189026691537682, 0.613918856542286, 0.616002692100522,          0.623434891123849, 0.570788416471153, 0.570788416471153,          0.294690087030438, 0.294690087030438, 0.822296725898933,          0.341254943367627, 0.855372307789476, 0.653351036954048,          0.60176146852012, 0.698336840868775), PROX_GOOD_PRISCH = c(2.39141973384207,          2.34700895725274, 2.2131785217075, 2.22887532154294,          2.68318776685765, 2.8385375863655, 2.83177349547833,          2.62113030487697, 2.6286340652406, 2.09882394138718,          2.58742850928016, 2.58742850928016, 2.95589454100459,          2.95589454100459, 1.88031331185984, 2.96812409551872,          1.96973866183315, 2.45055199705462, 3.26097143466547,          2.48345794754568), PROX_MALL = c(0.344610557976029, 0.363372953846058,          0.340751907865098, 0.384053234723219, 0.459259689573629,          0.76911725394793, 0.831480717149744, 0.350991485118426,          0.365493224544838, 0.606835933426222, 0.364765391124967,          0.364765391124967, 0.814743407183115, 0.814743407183115,          0.43093778326398, 0.714729745574342, 0.400154220571097,          0.840491697823826, 0.979751787656279, 0.805279144871904         ), PROX_CHAS = c(0.106045676778667, 0.111289200730163,          0.260152478655286, 0.2644107607892, 0.0626028682349028,          0.0661119226245057, 0.0819321575559949, 0.302383860370021,          0.28517644723447, 0.20965056306942, 0.204257711541377,          0.204257711541377, 0.257507761616553, 0.257507761616553,          0.0390568763467083, 0.31407050179696, 0.193330180912365,          0.210772889992189, 0.136218265087875, 0.18789773503711         ), PROX_SUPERMARKET = c(0.357992185767737, 0.386863986973968,          0.363982132031921, 0.407226974513028, 0.550262392018624,          0.444069124865739, 0.408274605358357, 0.519095500550079,          0.49431722643315, 0.477398814511427, 0.384238743245603,          0.384238743245603, 0.30094246041235, 0.30094246041235,          0.430936681100737, 0.345653574215055, 0.392366955335671,          0.189609627596398, 0.0830307595499944, 0.186124684843571         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 1L, 2L, 1L, 2L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 0L, 1L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 4L, 3L, 3L,          3L, 6L, 6L, 2L, 6L, 6L, 3L, 3L, 4L, 2L, 2L, 4L, 3L, 4L         ), WITHIN_350M_BUS = c(6L, 9L, 8L, 11L, 7L, 9L, 6L, 9L,          10L, 8L, 8L, 8L, 10L, 10L, 11L, 8L, 7L, 7L, 4L, 8L),          WITHIN_1KM_PRISCH = c(5L, 5L, 6L, 6L, 3L, 3L, 3L, 2L,          2L, 6L, 2L, 2L, 3L, 3L, 6L, 4L, 6L, 5L, 1L, 4L), DNeighbour = c(0,          100.982515698218, 247.856008719147, 266.847370395429,          361.322533681133, 458.265550073428, 480.616232373417,          524.54522824402, 565.562195786076, 575.103935394095,          639.739811692993, 642.447016033009, 672.719010407611,          676.596108654503, 692.079313217206, 731.899143641582,          825.21324448156, 861.649687224648, 894.387099416642,          913.897449370688)), row.names = c("6", "56", "696", "743",      "569", "407", "425", "480", "626", "239", "501", "77", "876",      "157", "364", "132", "694", "271", "303", "553"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.975730096229133, 0.858302919639503, 0.836754440814214,      0.711807714396314, 0.560337633410944, 0.523353849742493,      0.44965618525386, 0.380724868875493, 0.364813177446396, 0.260081879183135,      0.255860160996261, 0.2099089757689, 0.204208752255203, 0.181920967343973,      0.128616636208454, 0.03410021706609, 0.0123370106301037,      0.00178432434321354, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5537144491 
R squared (OOB):                  0.43856 

$Forests[[7]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 362000, 315000,      293000, 338000, 370000, 355000, 325000, 303888, 335000, 348000,      340000, 320000, 336000, 326000, 308000, 333000, 368888, 380000,      395000), floor_area_sqm = c(102, 94, 87, 86, 94, 95, 94,      90, 90, 90, 95, 90, 91, 90, 101, 90, 90, 92, 92, 92), storey_order = c(2L,      4L, 5L, 1L, 2L, 5L, 4L, 4L, 5L, 5L, 1L, 4L, 1L, 2L, 1L, 2L,      2L, 4L, 4L, 3L), remaining_lease_mths = c(968, 976, 1004,      1006, 1076, 977, 1070, 973, 1008, 998, 968, 1011, 980, 966,      942, 948, 1009, 1143, 1135, 1132), PROX_CBD = c(18.6342583478867,      18.3273029006797, 18.9558501171738, 18.9558501171738, 18.893500205596,      18.2449080671561, 18.9417612550563, 18.5353901232527, 19.0279685600245,      18.976831626196, 18.0323194354466, 18.5954829873069, 18.4122801485573,      18.263890012402, 17.6460086713989, 17.5548574672099, 17.8072819651564,      18.528449956106, 18.528449956106, 18.4477570786683), PROX_ELDERLYCARE = c(2.72992435028626,      2.7120525382807, 3.04148171914245, 3.04148171914245, 3.10102691254995,      2.54228790651909, 3.09832013994742, 3.18651864771223, 3.26154359027314,      3.28231449363414, 2.88259030935981, 3.21245115339435, 3.05606256580079,      2.93603771613334, 2.69583292953839, 2.64072586785555, 1.52664538751384,      1.49671415705568, 1.49671415705568, 1.45029388933935), PROX_HAWKER = c(0.947673142820091,      0.729165861663657, 1.03425383708264, 1.03425383708264, 0.926259022488312,      0.859760115655931, 0.981837341088666, 0.491879726860981,      0.990561993667382, 0.923592674397851, 0.459055170630849,      0.468862715548992, 0.284310921582288, 0.135415800319106,      0.543702723258422, 0.624754154933827, 0.809141875883089,      0.947708217710491, 0.947708217710491, 0.879695992543251),          PROX_MRT = c(0.717283111076423, 0.470919202147399, 0.87145727172961,          0.87145727172961, 0.777214903782309, 0.597257652192269,          0.831940647091921, 0.375479822529604, 0.880588410111357,          0.822784932057268, 0.228324090957444, 0.485913485771313,          0.34633408104891, 0.269488316579814, 0.514213843772978,          0.605396305517498, 0.753928873695942, 0.869531291623609,          0.869531291623609, 0.801027338961469), PROX_PARK = c(1.68545701841371,          1.51959638840156, 1.64892029001525, 1.64892029001525,          1.53153013283021, 1.66089445329223, 1.58031197441792,          1.15334089580929, 1.5140651316136, 1.4431849310919, 1.25712692932115,          0.966363588730214, 0.872887750975024, 0.826451671225411,          0.873328686748902, 0.801838254358626, 1.93736074272598,          2.37596217173297, 2.37596217173297, 2.38376543636855),          PROX_GOOD_PRISCH = c(8.98296462693421, 8.6741083827629,          9.30119351841798, 9.30119351841798, 9.23793284137011,          8.59525181849715, 9.2863930262578, 8.87993213136606,          9.37202430611723, 9.32093903042593, 8.37645219680457,          8.94334048589707, 8.76068312560123, 8.61262144573917,          7.99076792195858, 7.89964805631792, 8.21423979230025,          8.9605147002348, 8.9605147002348, 8.8804818877731), PROX_MALL = c(0.719594778264249,          0.437943127987326, 0.918650450187965, 0.918650450187965,          0.833273819621717, 0.537890109309282, 0.886414086630636,          0.460655941356388, 0.951179576311185, 0.897736377807805,          0.12060760008054, 0.594166870248601, 0.458641270318743,          0.374925429890344, 0.441435937338541, 0.456293365362214,          0.745769461616378, 0.613385110580272, 0.613385110580272,          0.601716003339109), PROX_CHAS = c(0.294409401108374,          0.319053536773146, 0.067384164825537, 0.067384164825537,          0.143741090403558, 0.274147949012332, 0.0880613138842689,          0.165734202429707, 0.184556275618948, 0.237819060284531,          0.120607657412939, 0.186588167457245, 0.182706372800723,          0.0541347282504724, 0.441435968696221, 0.456293399812874,          0.195830090979757, 0.220932244035638, 0.220932244035638,          0.260006933015678), PROX_SUPERMARKET = c(0.247755307750907,          0.198027823348086, 0.102761308178796, 0.102761308178796,          0.218188374485768, 0.161035318973668, 0.175726554209016,          0.167679568764744, 0.3125742651816, 0.322795161753339,          0.119017844673248, 0.195869762300225, 0.182706945219403,          0.0541355525390397, 0.446325988440648, 0.425112192123464,          0.265666518411173, 0.220931072377982, 0.220931072377982,          0.260005577706646), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 2L, 2L, 2L, 0L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 0L, 1L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 6L,          4L, 4L, 4L, 4L, 4L, 7L, 2L, 4L, 4L, 4L, 7L, 5L, 2L, 2L,          2L, 3L, 3L, 3L), WITHIN_350M_BUS = c(5L, 12L, 8L, 8L,          8L, 9L, 8L, 12L, 6L, 9L, 14L, 10L, 12L, 11L, 11L, 8L,          4L, 6L, 6L, 8L), WITHIN_1KM_PRISCH = c(4L, 5L, 4L, 4L,          4L, 5L, 4L, 5L, 4L, 4L, 4L, 5L, 5L, 4L, 3L, 2L, 3L, 3L,          3L, 3L), DNeighbour = c(0, 316.149686850326, 369.001026045409,          373.034055493443, 385.761213816139, 394.257528380482,          407.552202698847, 529.807714478886, 559.408190505065,          561.038991274548, 689.471948218093, 760.949426451432,          810.993841518776, 868.97460999375, 1119.48679486645,          1199.79367543202, 1312.19587562224, 1345.34299977895,          1346.69231112733, 1361.33954587047)), row.names = c("7",      "873", "52", "951", "745", "5", "932", "838", "570", "915",      "354", "901", "722", "548", "456", "514", "358", "875", "102",      "504"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.895043235547948,      0.858454020600635, 0.855464284873519, 0.845851949210655,      0.839286949282844, 0.828780987518435, 0.7200167688228, 0.690795034040172,      0.689157062688133, 0.552780910269684, 0.472726844765632,      0.416158024890476, 0.351107796109899, 0.104816330120197,      0.0498413983125698, 0.00502621681548496, 0.000545834831058348,      0.000458092286663721, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       536130855 
R squared (OOB):                  0.2286595 

$Forests[[8]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(510000, 4e+05, 460000,      430000, 403000, 465000, 440000, 485000, 460000, 545000, 535000,      490000, 5e+05, 520000, 515000, 489000, 532000, 520000, 589000,      498000), floor_area_sqm = c(92, 92, 92, 92, 92, 93, 93, 93,      93, 93, 93, 95, 93, 93, 92, 92, 96, 93, 96, 93), storey_order = c(3L,      1L, 2L, 1L, 1L, 5L, 2L, 2L, 3L, 5L, 4L, 2L, 6L, 5L, 2L, 2L,      4L, 4L, 6L, 2L), remaining_lease_mths = c(1136, 1131, 1137,      1128, 1138, 1097, 1142, 1147, 1138, 1127, 1118, 1111, 1137,      1147, 1138, 1137, 1111, 1118, 1111, 1102), PROX_CBD = c(14.0250110126613,      13.9748767742628, 13.9481332653994, 13.983033341901, 13.9348601041022,      13.8110145095205, 13.9713915856932, 13.9293604468603, 13.8880322509317,      13.8964286142315, 13.8964286142315, 13.7780295697528, 13.7068457080251,      13.7003463440691, 14.4453014943547, 14.4453014943547, 13.8842234613226,      13.7912064237251, 13.8838492138892, 13.8269911518463), PROX_ELDERLYCARE = c(0.0392522324995346,      0.0869602171534455, 0.108372417523696, 0.0819455196406728,      0.122633260073778, 0.2424730747692, 0.226595382415433, 0.234065981952779,      0.250782943854859, 0.28821019895416, 0.28821019895416, 0.24280876806526,      0.409751638237597, 0.434917902994305, 0.431976777822193,      0.431976777822193, 0.284905700992106, 0.194902312085005,      0.321249151015697, 0.272443342502121), PROX_HAWKER = c(0.732915378457501,      0.759405218095962, 0.783686601130967, 0.818439961244233,      0.848294615942255, 0.93957565430704, 0.954180271331751, 0.970053791291438,      0.989318285046145, 0.700607063348248, 0.700607063348248,      0.855348356505915, 1.09574216637781, 1.07570104527527, 0.391270554493315,      0.391270554493315, 0.667389882084889, 0.761066408094757,      0.661984274687099, 0.718894335359525), PROX_MRT = c(0.179377644983316,      0.16215489673441, 0.146013494832411, 0.0961191462833423,      0.066674836544346, 0.110074032088272, 0.128817306959056,      0.101292979723356, 0.0905698875540676, 0.214342865325431,      0.214342865325431, 0.290902656750774, 0.23189639897339, 0.256932190523524,      0.309279527401184, 0.309279527401184, 0.172676244118343,      0.263976344610204, 0.202599849124069, 0.250191496834268),          PROX_PARK = c(0.898948825756494, 0.93793434477989, 0.964943529987853,          0.973290645087517, 1.01289159319472, 1.12286028608686,          1.07610116952693, 1.10248671215858, 1.13098813526459,          0.945155408432775, 0.945155408432775, 1.08412864631293,          1.30108171005294, 1.30953091682666, 0.463863624631307,          0.463863624631307, 0.946790994443363, 1.03946212768551,          0.953674473627188, 1.00953333913803), PROX_GOOD_PRISCH = c(4.48326906164864,          4.4381077472328, 4.41058426346667, 4.42376284483209,          4.3780728039611, 4.2580170038876, 4.37541592083903, 4.33684280477295,          4.29841605508598, 4.42474408393319, 4.42474408393319,          4.27934963146811, 4.11427377683663, 4.10033714204368,          4.92565705183443, 4.92565705183443, 4.46427355245829,          4.37243865161908, 4.48950135049007, 4.43409233459216),          PROX_MALL = c(0.387952579177684, 0.408666125180857, 0.431747484707969,          0.475935346664486, 0.500682206465503, 0.585854127158584,          0.625072347077181, 0.634323955575517, 0.648384322611893,          0.36232957329041, 0.36232957329041, 0.507308338763366,          0.786897805640679, 0.816725098938654, 0.259948531881284,          0.259948531881284, 0.384398044205003, 0.47180896375681,          0.415387276861254, 0.464449368072494), PROX_CHAS = c(0.116095717847762,          0.0955424375353944, 0.0812590805558053, 0.0483941894268844,          3.70448785353559e-08, 0.123846030022364, 0.0752462089475253,          0.0456516508281062, 0.0495611607390083, 0.190952462752685,          0.190952462752685, 0.246000912873009, 0.0683167852462459,          0.0738696133860389, 0.259948576333881, 0.259948576333881,          0.0936868185767241, 3.14247486029477e-08, 0.130388475133542,          0.093713435160417), PROX_SUPERMARKET = c(0.21237786594893,          0.205979542456043, 0.194128300134642, 0.123899374628808,          0.112910168339451, 0.157551778944521, 0.0752464841458058,          0.04565204632056, 0.0495614942866338, 0.190953240917096,          0.190953240917096, 0.271122867675942, 0.0683172333971998,          0.0738703098972174, 0.257218468152336, 0.257218468152336,          0.093687407280864, 8.52808058992138e-07, 0.130388583033251,          0.0937132175773042), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 2L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(5L, 4L,          3L, 4L, 5L, 3L, 5L, 4L, 3L, 4L, 4L, 4L, 5L, 5L, 4L, 4L,          3L, 4L, 3L, 5L), WITHIN_350M_BUS = c(9L, 6L, 7L, 11L,          11L, 12L, 11L, 11L, 11L, 9L, 9L, 9L, 14L, 13L, 6L, 6L,          7L, 8L, 9L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 4L, 4L, 4L, 4L, 5L, 5L, 6L, 3L, 3L, 4L, 4L, 5L, 5L,          5L, 5L), DNeighbour = c(0, 52.7037877916789, 85.7632300936046,          93.508566619304, 115.236683338694, 226.863492217496,          244.761001228232, 247.526116945692, 257.170893431965,          275.624349905417, 279.094024915753, 286.438700887646,          405.520696171155, 437.02526148519, 437.821564454683,          442.23798084215, 443.326976018462, 474.537010777306,          521.822561221569, 533.278944757137)), row.names = c("8",      "690", "34", "710", "356", "645", "361", "21", "662", "442",      "760", "282", "863", "616", "855", "50", "670", "420", "723",      "376"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98056078871916,      0.948941214122082, 0.939452588759802, 0.908789962429107,      0.670800744474851, 0.623062621884096, 0.615529066616249,      0.588964371707909, 0.537095167001962, 0.527221052892793,      0.506224026520322, 0.177871341651212, 0.107853140362629,      0.10625017134216, 0.0975271570779998, 0.0954206353714306,      0.043335238728267, 0.00180661589531704, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1346227389 
R squared (OOB):                  0.4162093 

$Forests[[9]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(640000, 655000, 663000,      655000, 676000, 380000, 4e+05, 4e+05, 385000, 350888, 360000,      340000, 398000, 390000, 380000, 418000, 4e+05, 410000, 418000,      352000), floor_area_sqm = c(87, 87, 87, 87, 87, 93, 98, 104,      91, 93, 83, 92, 92, 92, 92, 92, 92, 103, 91, 84), storey_order = c(4L,      1L, 4L, 5L, 3L, 3L, 4L, 2L, 1L, 3L, 3L, 1L, 3L, 1L, 4L, 4L,      4L, 2L, 5L, 2L), remaining_lease_mths = c(1121, 1123, 1124,      1121, 1120, 724, 718, 751, 715, 712, 803, 699, 714, 711,      695, 691, 690, 799, 774, 800), PROX_CBD = c(9.42381765287156,      9.39818328429371, 9.49727834386093, 9.49727834386093, 9.49727834386093,      9.50206510185676, 9.5915755681771, 9.83498872427818, 8.8262745849674,      9.68679892421183, 8.52567265657093, 9.97016469840266, 9.95525560808738,      9.71066487891121, 9.61422948612377, 9.61422948612377, 9.59976569988281,      8.31972436488376, 9.35032791665702, 8.28689365911172), PROX_ELDERLYCARE = c(0.750155484045513,      0.718190414835305, 0.735218745429302, 0.735218745429302,      0.735218745429302, 0.619429799229152, 0.558000418748021,      0.611336059876525, 0.896855030989675, 0.35495808488012, 1.23693676843424,      0.14040561650552, 0.150508443509651, 0.385358274245319, 0.28812103687201,      0.28812103687201, 0.239547661796275, 1.3912791419992, 0.227789996497476,      1.3668692597991), PROX_HAWKER = c(0.667492197519696, 0.640059738279374,      0.639074974233661, 0.639074974233661, 0.639074974233661,      0.518318645141504, 0.434568479089541, 0.54583502916026, 0.311054993693233,      0.221606053969191, 0.0724679807682574, 0.15909114400288,      0.153089379504462, 0.39402887106119, 0.398658919868918, 0.398658919868918,      0.436761476721694, 0.252588085280054, 0.508896406641727,      0.269406334629514), PROX_MRT = c(0.423547456258288, 0.401734036242065,      0.499971219475903, 0.499971219475903, 0.499971219475903,      0.533910829474844, 0.656590823238566, 0.722241727367494,      0.17731989795878, 0.760373725070279, 0.510058766918036, 0.494111782173202,      0.521845664201362, 0.746020760246364, 0.667432439829923,      0.667432439829923, 0.619962862184004, 0.44379796826936, 0.569946398217962,      0.467794692056616), PROX_PARK = c(0.258916726718906, 0.220484561261844,      0.298527066745392, 0.298527066745392, 0.298527066745392,      0.26219477257436, 0.355705093322714, 0.296755194228525, 0.458605630557841,      0.664893225436512, 0.557643312318536, 0.68588072489708, 0.730503149795042,      0.914740437498633, 0.922231693079911, 0.922231693079911,      0.957886982704992, 0.59965919275643, 0.726258134328713, 0.570592214216024     ), PROX_GOOD_PRISCH = c(2.24680049319454, 2.27458198186913,      2.17599822879711, 2.17599822879711, 2.17599822879711, 2.18628235132699,      2.11809049366399, 1.88657748145099, 2.8424495793979, 2.17803171840573,      3.13534109620979, 1.97396491196204, 2.01039924795066, 2.31351362539819,      2.38715383730665, 2.38715383730665, 2.35345437748376, 3.04207330950824,      2.41566392235711, 2.99359805566516), PROX_MALL = c(1.48330987402926,      1.45650167595406, 1.45007786498113, 1.45007786498113, 1.45007786498113,      1.32833110917602, 1.22478662403239, 1.23747152538927, 1.64561868645684,      0.796976758090547, 1.96281231550532, 0.802483711672914, 0.757457219803541,      0.505770857705003, 0.43353114329251, 0.43353114329251, 0.387669919047214,      2.10790194839897, 0.406203001531397, 2.09618768409308), PROX_CHAS = c(0.0719365450960561,      0.109789289200213, 0.101351467161616, 0.101351467161616,      0.101351467161616, 0.219477506246216, 0.346218272658546,      0.352730820744124, 0.221229860630612, 0.0707228333244178,      0.169369143123463, 0.187394625423847, 0.144412947448491,      0.255589678637005, 0.28666502826278, 0.28666502826278, 0.263208245292117,      0.261198443001062, 0.146235674893272, 0.229330661012247),          PROX_SUPERMARKET = c(0.100679215951394, 0.13637298984998,          0.0715849245259307, 0.0715849245259307, 0.0715849245259307,          0.191210069763785, 0.300584979098838, 0.324694852199881,          0.221249484047241, 0.128382981112681, 0.169391527985645,          0.215556112381702, 0.204623167766534, 0.363062686357781,          0.396736556610776, 0.396736556610776, 0.44091986097032,          0.272257424647181, 0.347306649978202, 0.266710264104055         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 6L, 6L, 6L,          5L, 1L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 4L, 3L, 5L, 2L         ), WITHIN_350M_BUS = c(5L, 6L, 4L, 4L, 4L, 2L, 5L, 3L,          5L, 10L, 8L, 9L, 9L, 13L, 11L, 11L, 11L, 9L, 9L, 7L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L,          2L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 3L, 1L, 3L, 1L), DNeighbour = c(0,          30.9464010011435, 74.5009567851473, 77.08966510863, 85.5854397258745,          171.341260287314, 302.672729090649, 499.71993163935,          594.961257159811, 734.888642632278, 924.385369442778,          950.264131601055, 969.91339899618, 1018.52312494865,          1052.22217932856, 1054.67872608724, 1094.73866287225,          1131.37902538938, 1153.53222989128, 1161.5543925951)), row.names = c("9",      "657", "466", "731", "593", "539", "746", "659", "814", "946",      "404", "211", "971", "776", "603", "499", "964", "540", "37",      "266"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99858088683191,      0.991789296490615, 0.991210064376783, 0.989171453451032,      0.956954877815739, 0.868811078020022, 0.664084361293374,      0.544112192919424, 0.359663993165654, 0.134450136969049,      0.109373961698261, 0.0916592228416657, 0.0534130824599306,      0.0321814529313773, 0.0308198376995769, 0.0124850486551971,      0.00262984292224077, 0.000189478185390969, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3536688466 
R squared (OOB):                  0.7662287 

$Forests[[10]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(890000, 1038000, 1056800,      1110000, 1023801, 830000, 643888, 755000, 7e+05, 685000,      753000, 620000, 475000, 476000, 748000, 537000, 945500, 912000,      5e+05, 680000), floor_area_sqm = c(93, 95, 95, 94, 95, 94,      83, 90, 93, 93, 87, 103, 103, 103, 107, 106, 87, 87, 103,      91), storey_order = c(2L, 13L, 16L, 17L, 13L, 9L, 4L, 2L,      1L, 4L, 5L, 2L, 2L, 2L, 2L, 4L, 8L, 3L, 1L, 3L), remaining_lease_mths = c(1079,      1088, 1081, 1086, 1085, 1088, 721, 983, 625, 1115, 1104,      911, 781, 774, 899, 760, 1143, 1142, 773, 984), PROX_CBD = c(1.67386574810093,      1.6109563636452, 1.77209924777956, 1.77209924777956, 1.64296215322618,      1.64296215322618, 1.53899731723416, 2.01305703462688, 2.09358084499411,      2.56060478168524, 2.5775653440094, 2.86182045335715, 3.09516181063763,      3.09516181063763, 2.52364731081334, 3.12641734116327, 2.51922626320824,      2.51922626320824, 3.24578829573265, 2.86455481676114), PROX_ELDERLYCARE = c(0.177855560288099,      0.267363987874465, 0.140516738363648, 0.140516738363648,      0.294850727643248, 0.294850727643248, 0.194322059338883,      0.301111196915018, 0.442569764285143, 0.303984777605612,      0.283170941801308, 0.334062202372697, 0.614909460801077,      0.614909460801077, 0.132133546591398, 0.570344367187993,      1.25853619714168e-06, 1.25853619714168e-06, 0.461566734593474,      0.111411798512938), PROX_HAWKER = c(0.190132187507835, 0.235977344459711,      0.23052169920376, 0.23052169920376, 0.280083683397779, 0.280083683397779,      0.0778854840685767, 0.439754799726314, 0.103399879312882,      0.450094806637729, 0.447120961378381, 0.231089093207534,      0.524942013349153, 0.524942013349153, 0.315417458803045,      0.582032517556358, 0.187177165934232, 0.187177165934232,      0.461305554076076, 0.302651224916382), PROX_MRT = c(0.379670718067057,      0.29771914919713, 0.454819638815125, 0.454819638815125, 0.262926729358016,      0.262926729358016, 0.338341879948785, 0.650763936895186,      0.681532284353367, 0.546591463865751, 0.499107329029013,      0.819080841065402, 1.19880844528061, 1.19880844528061, 0.277076743329557,      1.19588154804183, 0.243725266054354, 0.243725266054354, 1.11057161001852,      0.391395986196982), PROX_PARK = c(0.464667269713551, 0.367398542795172,      0.568364566172339, 0.568364566172339, 0.366095429090919,      0.366095429090919, 0.431332248643832, 0.806729342800227,      0.400473707610266, 0.21329655328302, 0.18481391877062, 0.609617368578913,      0.971409228458194, 0.971409228458194, 0.163253442595557,      0.971029675538415, 0.28862748451296, 0.28862748451296, 0.856773721705297,      0.399002951856213), PROX_GOOD_PRISCH = c(6.13913327172338,      6.05683769533381, 6.2014068010071, 6.2014068010071, 6.02306971378175,      6.02306971378175, 6.20754086879516, 6.32589195448141, 4.81109980295855,      4.93746215949662, 4.89009258041755, 5.1514664212482, 5.46565510857314,      5.46565510857314, 4.61812725480087, 5.52416256345089, 4.50145006484821,      4.50145006484821, 5.51078547454581, 4.71207116352008), PROX_MALL = c(0.332985789848242,      0.415453175187746, 0.293469301127063, 0.293469301127063,      0.44820920236387, 0.44820920236387, 0.293332886646226, 0.368960166061844,      0.685370188976197, 0.572150632107275, 0.524781909718914,      0.848351644608041, 1.2281628510896, 1.2281628510896, 0.290995843291254,      1.29251563056945, 0.244046547559164, 0.244046547559164, 1.33172083977874,      0.420489734799516), PROX_CHAS = c(0.0280349864391529, 0.0860247998100326,      0.116110892529562, 0.116110892529562, 0.0951865321113252,      0.0951865321113252, 0.0279718763032621, 0.298496878246672,      0.165994533154508, 0.0640474788759872, 0.0301364724824846,      0.159666076311523, 0.240903750709302, 0.240903750709302,      0.0122221533760307, 0.202999736112437, 0.0462846720247782,      0.0462846720247782, 0.0869328465249217, 0.110042750971165     ), PROX_SUPERMARKET = c(0.185142915152075, 0.248046397132554,      0.203860721712114, 0.203860721712114, 0.28799517805095, 0.28799517805095,      0.114546579488019, 0.364789845186166, 0.346795592234613,      0.315915165677582, 0.275738565320567, 0.360029455717415,      0.240902416159861, 0.240902416159861, 0.0373112013983995,      0.202998478162502, 0.169442491353445, 0.169442491353445,      0.0869315055470345, 0.110042446678578), WITHIN_350M_KINDERGARTEN = c(1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L,      0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(7L, 6L, 7L, 7L,      6L, 6L, 8L, 4L, 4L, 4L, 4L, 3L, 2L, 2L, 6L, 2L, 4L, 4L, 2L,      4L), WITHIN_350M_BUS = c(9L, 11L, 10L, 10L, 9L, 9L, 9L, 10L,      7L, 3L, 3L, 4L, 4L, 4L, 6L, 5L, 4L, 4L, 6L, 7L), WITHIN_1KM_PRISCH = c(1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 3L, 3L, 3L, 2L, 2L,      2L, 2L, 2L, 4L), DNeighbour = c(0, 101.102537838565, 104.434568886158,      108.034445841444, 122.85705670966, 125.73561559413, 163.525917111244,      358.142421572899, 1338.6204654915, 1443.81318638868, 1486.14753946846,      1549.9600175876, 1628.1898671481, 1628.40169928387, 1639.23943726877,      1639.48441908509, 1720.8437765959, 1728.94157751659, 1756.18358230415,      1783.61343404081)), row.names = c("10", "619", "509", "321",      "91", "850", "524", "567", "824", "390", "999", "561", "134",      "126", "65", "48", "816", "550", "192", "968"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.993584147569232, 0.993155023147407, 0.992675877091136,      0.990533329944595, 0.990085639903565, 0.983259339028492,      0.920987566543524, 0.190736683851912, 0.118838509653338,      0.0934767129268686, 0.0599461629250556, 0.0277842561544462,      0.0277120123735919, 0.0241296755971763, 0.0240512983757665,      0.00478121310633212, 0.00364393795503039, 0.00093153826457085,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       26695405037 
R squared (OOB):                  0.3355112 

$Forests[[11]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(298000, 303888, 330000,      350000, 303000, 297000, 325000, 3e+05, 255000, 245000, 370000,      359900, 355000, 272000, 270000, 250000, 316000, 375000, 318000,      305000), floor_area_sqm = c(93, 93, 103, 103, 92, 91, 91,      96, 91, 88, 93, 93, 93, 89, 97, 97, 92, 92, 91, 91), storey_order = c(1L,      2L, 2L, 4L, 1L, 3L, 4L, 4L, 4L, 2L, 5L, 3L, 3L, 2L, 2L, 4L,      3L, 4L, 1L, 4L), remaining_lease_mths = c(777, 782, 773,      768, 794, 788, 780, 791, 686, 668, 1106, 1117, 1111, 882,      687, 708, 781, 783, 765, 791), PROX_CBD = c(18.5252470382495,      18.5252470382495, 18.4499801912104, 18.3186881593276, 18.2139172788048,      18.1476771148045, 18.1476771148045, 18.5761736305699, 19.1428796063974,      18.8842060529579, 18.8127816342995, 18.8127816342995, 18.8127816342995,      17.8554664137964, 19.1998859465191, 19.2477081153014, 18.2234963781047,      18.1857629477019, 18.2234963781047, 18.2610111258248), PROX_ELDERLYCARE = c(0.449194476018676,      0.449194476018676, 0.504778052376495, 0.586525817031338,      0.649170232100017, 0.519546459890619, 0.519546459890619,      0.0638277150498875, 0.457204003422965, 0.229103995883471,      0.176499517448139, 0.176499517448139, 0.176499517448139,      0.800501761367975, 0.482976337773198, 0.533620939869422,      0.448333702611612, 0.47723779098819, 0.448333702611612, 0.421521882373529     ), PROX_HAWKER = c(0.69553534809229, 0.69553534809229, 0.652207052169444,      0.564283191409187, 0.488031980714328, 0.209390724873544,      0.209390724873544, 0.562029876499453, 0.491246203286744,      0.280513302960552, 0.325560722493799, 0.325560722493799,      0.325560722493799, 0.203123967436651, 0.407382567332432,      0.435575948420033, 0.416527045274471, 0.380157991945912,      0.416527045274471, 0.453171307776496), PROX_MRT = c(0.398456142880405,      0.398456142880405, 0.322534237265928, 0.220618943711049,      0.192826481399443, 0.491311596778589, 0.491311596778589,      0.874368880716004, 1.0490560030484, 1.03601464731326, 1.04083770509984,      1.04083770509984, 1.04083770509984, 0.555370291384357, 1.13705578024219,      1.17336842789895, 0.545975779093886, 0.548087095608087, 0.545975779093886,      0.547550551918807), PROX_PARK = c(0.491317901173298, 0.491317901173298,      0.536975621309476, 0.548488124002706, 0.532358306258428,      0.270911567278729, 0.270911567278729, 0.287868908027907,      0.602588748705797, 0.579556587207627, 0.51923222906617, 0.51923222906617,      0.51923222906617, 0.515057634059466, 0.708199402424467, 0.715290586226954,      0.264257474455249, 0.261695126667213, 0.264257474455249,      0.272660801967067), PROX_GOOD_PRISCH = c(9.63394268044443,      9.63394268044443, 9.56762880935522, 9.44179125712709, 9.33501569353139,      9.18618174729203, 9.18618174729203, 9.51590189269927, 10.1724586401982,      9.83133063879426, 9.7422556358987, 9.7422556358987, 9.7422556358987,      8.91472106998272, 10.205087741046, 10.2559210914134, 9.1355701416359,      9.10363750169146, 9.1355701416359, 9.16752282736586), PROX_MALL = c(0.705200807731176,      0.705200807731176, 0.662291407978718, 0.574856358668165,      0.498813518897969, 0.218975149940797, 0.218975149940797,      0.624506085881379, 1.19002137667581, 0.91348864249693, 0.856774663098642,      0.856774663098642, 0.856774663098642, 0.208298160410803,      1.23204265332191, 1.28177138580973, 0.411037179701155, 0.374195605351922,      0.411037179701155, 0.448092738738542), PROX_CHAS = c(0.240425442805127,      0.240425442805127, 0.201478871858691, 0.141159289664064,      0.0363398547195702, 0.218975205360203, 0.218975205360203,      0.0792988689034794, 0.472048134528426, 0.241229981070425,      0.2593611752042, 0.2593611752042, 0.2593611752042, 0.208298146952687,      0.377747950290313, 0.34509608786971, 0.132763801624598, 0.172021358032342,      0.132763801624598, 0.0964740211655948), PROX_SUPERMARKET = c(0.386130046709882,      0.386130046709882, 0.310351384739933, 0.210011389308567,      0.186956242757619, 0.206881250620068, 0.206881250620068,      0.625539331690589, 1.03656246660954, 0.911876453557648, 0.856773769273042,      0.856773769273042, 0.856773769273042, 0.19872598136169, 1.12464344461301,      1.16090501353567, 0.421116980529575, 0.38486207983901, 0.421116980529575,      0.457654559995222), WITHIN_350M_KINDERGARTEN = c(0L, 0L,      0L, 1L, 1L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 2L, 2L, 0L,      0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 4L, 5L,      3L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 5L, 2L, 2L, 2L, 2L, 2L, 2L     ), WITHIN_350M_BUS = c(8L, 8L, 9L, 10L, 9L, 7L, 7L, 10L,      6L, 13L, 16L, 16L, 16L, 10L, 10L, 9L, 6L, 4L, 6L, 6L), WITHIN_1KM_PRISCH = c(2L,      2L, 2L, 2L, 2L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 0L,      4L, 4L, 4L, 4L), DNeighbour = c(0, 4.33317364592951, 74.7881014876997,      202.070097644603, 305.66460177729, 482.769150085028, 486.8646837746,      629.759400982485, 654.102136311604, 673.299635976409, 704.587573135729,      704.821772034099, 704.921978971857, 720.611358570074, 739.047989383507,      774.152307530188, 830.200955656555, 830.761286720577, 831.07286160475,      837.851133087577)), row.names = c("11", "106", "810", "367",      "481", "827", "944", "78", "484", "96", "637", "604", "418",      "467", "193", "981", "202", "733", "47", "905"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999946506298354, 0.984128145355669, 0.887050985598633,      0.751527025536348, 0.446216632503731, 0.43869097280014, 0.189262183290921,      0.152508113482966, 0.125473445403957, 0.0857375770076491,      0.0854624361881008, 0.0853448185715071, 0.0677446826089467,      0.0492585817993022, 0.0213957410875248, 0.000330441653892742,      0.000283999219847028, 0.00025968304230681, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1368078263 
R squared (OOB):                  0.1062346 

$Forests[[12]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 485000, 410000,      355000, 411000, 399000, 380000, 418000, 625000, 425000, 365000,      410000, 350000, 420000, 423000, 385000, 420000, 395000, 430000,      440000), floor_area_sqm = c(104, 104, 84, 84, 104, 102, 105,      84, 94, 104, 103, 104, 84, 103, 104, 102, 105, 103, 103,      104), storey_order = c(1L, 3L, 4L, 3L, 1L, 3L, 1L, 3L, 3L,      3L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 4L, 2L, 3L), remaining_lease_mths = c(805,      823, 814, 804, 806, 766, 775, 821, 1085, 747, 757, 761, 806,      757, 827, 755, 787, 772, 764, 752), PROX_CBD = c(12.514948085948,      12.533007335037, 12.8927390133383, 13.01786092695, 13.1755942624772,      13.0078000734933, 12.8173662852819, 13.3325431063631, 13.3230141016287,      12.4246534304877, 13.0970803497533, 12.2901811097239, 13.3385512116162,      13.2614515751509, 13.4971436153267, 13.2614515751509, 12.7549887608908,      13.1724132817366, 12.3243460542753, 13.1913836000948), PROX_ELDERLYCARE = c(0.754587815834464,      0.635175801858358, 0.702153634905252, 0.807586217367385,      1.08363260419178, 0.748101088186933, 0.548539301056628, 1.22529955141455,      1.40693910044933, 0.223353489993969, 0.830352740740998, 0.180150537957213,      1.09997831443452, 0.99636081833896, 1.36472832701396, 0.99636081833896,      0.556485595404089, 0.906244923447749, 0.362207242709056,      0.779182108791446), PROX_HAWKER = c(0.918952349521139, 0.80610763907972,      0.876276656944215, 0.976719939584195, 1.26154745049637, 0.90031621758677,      0.687183343617196, 1.40113048988486, 1.58753442345041, 0.283538945902673,      0.973651338137405, 0.155357947035291, 1.2578245237404, 1.14030290242306,      1.53740682378418, 1.14030290242306, 0.627642822312809, 1.03184370064912,      0.290415492755609, 1.05769292681279), PROX_MRT = c(0.361279603881815,      0.317839503016409, 0.279401054335897, 0.343251427728879,      0.324849533681113, 0.513893198964272, 0.607087114668938,      0.481797794839233, 0.336472807994142, 0.694199692700576,      0.602819058882962, 0.729338839878115, 0.602718547061467,      0.667490524156887, 0.586728597341744, 0.667490524156887,      0.561554903993597, 0.712767869041386, 0.559245805822074,      0.577154139562059), PROX_PARK = c(0.436213246481288, 0.503650356541676,      0.620470631841848, 0.656436399769765, 0.447685878226129,      0.842333894517479, 0.953457314885518, 0.354623255285983,      0.286498275370587, 1.19561442246869, 0.879464356596765, 1.26762597166046,      0.569772965965399, 0.758867978246924, 0.212766960501703,      0.758867978246924, 1.16122098497616, 0.94305137750942, 1.218970746516,      1.12092772213378), PROX_GOOD_PRISCH = c(1.8549021101536,      1.74800143577954, 1.774803188623, 1.85318585541752, 2.16883728054707,      1.72660166123773, 1.5016146113424, 2.29474127216967, 2.51508960065264,      1.09898709469432, 1.76550469910092, 0.992456269301591, 2.07907555576542,      1.91909050044553, 2.41235725048041, 1.91909050044553, 1.29435567579286,      1.76071721252525, 0.889618707353532, 1.6842887316892), PROX_MALL = c(0.294446956047624,      0.260189306400009, 0.322264379768498, 0.400117032043626,      0.386525633611572, 0.5620231960968, 0.635314033644823, 0.542371475290289,      0.614219522084071, 0.626909601034773, 0.655283448157635,      0.649064194608972, 0.668924040978838, 0.72813233212774, 0.707673546664446,      0.72813233212774, 0.542723135774117, 0.808064657998832, 0.471904090765479,      0.813382909306435), PROX_CHAS = c(0.29446060409402, 0.227429082883153,      0.241407331054591, 0.191102980152323, 0.194419509978617,      1.4078617678234e-08, 0.149554006756045, 0.059226360432522,      0.389026612692193, 0.221655673315632, 0.10733838099953, 0.128297543182753,      0.191227179226131, 0.255705601713763, 0.13417187150752, 0.255705601713763,      0.144180959238343, 0.253073540027742, 0.193597629002809,      0.19044114280624), PROX_SUPERMARKET = c(0.294460269353442,      0.260187243864149, 0.234452518543083, 0.230446816430876,      0.386520309138909, 0.0851968725918189, 0.14719471752053,      0.542367678587035, 0.614233853755243, 0.209750471448386,      0.176189281490626, 0.159863951308791, 0.444314653432489,      0.336474046543398, 0.707669264145537, 0.336474046543398,      0.150188458093997, 0.263318229535236, 0.331501685351864,      0.190441743522314), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      2L, 3L, 1L, 2L, 3L, 0L, 1L, 2L, 1L, 4L, 1L, 2L, 0L, 2L, 2L,      1L, 2L, 3L), WITHIN_350M_CHILDCARE = c(2L, 3L, 4L, 2L, 5L,      2L, 2L, 6L, 5L, 5L, 1L, 5L, 3L, 2L, 5L, 2L, 3L, 3L, 4L, 4L     ), WITHIN_350M_BUS = c(8L, 7L, 4L, 5L, 12L, 6L, 5L, 10L,      10L, 4L, 4L, 3L, 5L, 6L, 7L, 6L, 7L, 6L, 4L, 8L), WITHIN_1KM_PRISCH = c(2L,      3L, 4L, 4L, 4L, 4L, 5L, 4L, 1L, 5L, 4L, 5L, 5L, 4L, 4L, 4L,      5L, 4L, 6L, 5L), DNeighbour = c(0, 141.648314802228, 557.335017170812,      662.250584219587, 668.2253065041, 791.289488212602, 792.419533766704,      823.996894553109, 826.536299569956, 890.315965569479, 891.42659108297,      927.678538593681, 961.608773437398, 992.358582421441, 994.541194976361,      996.387280683472, 1034.36397499273, 1043.68750664711, 1092.66344777615,      1219.27438769374)), row.names = c("12", "758", "493", "789",      "131", "103", "523", "565", "559", "186", "597", "518", "618",      "753", "353", "473", "215", "225", "861", "229"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.97318923135607, 0.625769705967761, 0.497006053187231, 0.48949531665351,      0.335032423364844, 0.333640260665628, 0.29515519480635, 0.29209970957763,      0.217907650090184, 0.216666694344817, 0.177338044565469,      0.142880159105954, 0.113959307224965, 0.111998322897795,      0.110349654849995, 0.0785751801463381, 0.0714385789366829,      0.0387693898686545, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3234019393 
R squared (OOB):                  0.02745803 

$Forests[[13]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 432000, 420000,      415000, 333000, 388000, 365000, 335000, 305000, 360000, 323000,      313000, 305000, 371000, 325000, 349000, 315000, 375000, 339000,      338000), floor_area_sqm = c(92, 92, 92, 92, 99, 92, 92, 100,      99, 99, 101, 99, 99, 100, 91, 103, 102, 102, 102, 102), storey_order = c(2L,      4L, 1L, 2L, 3L, 1L, 1L, 4L, 4L, 3L, 1L, 4L, 1L, 2L, 2L, 2L,      2L, 3L, 3L, 4L), remaining_lease_mths = c(1136, 1123, 1121,      1125, 927, 1134, 1135, 927, 930, 915, 937, 918, 921, 918,      970, 832, 913, 932, 923, 922), PROX_CBD = c(17.7152334804069,      17.7152334804069, 17.7152334804069, 17.7609329148819, 17.6933534103443,      17.8160591469996, 17.8160591469996, 17.5934100264964, 17.5508688704121,      17.6482187406162, 17.4093430047218, 17.8728040148932, 17.9733391318796,      17.9318121245061, 17.7083177660008, 18.0642207733449, 17.9994058772431,      17.424297644009, 17.9456645257603, 18.1611534549189), PROX_ELDERLYCARE = c(0.0982899037000713,      0.0982899037000713, 0.0982899037000713, 0.0656405943898966,      0.174626049595048, 0.101440000613482, 0.101440000613482,      0.183364759720919, 0.169110695114153, 0.399377154365588,      0.347622879353981, 0.330981516384048, 0.376016337241346,      0.559180828327224, 0.378187975507624, 0.558648465009425,      0.430537495183344, 0.332680427012888, 0.476454782767532,      0.519233937445895), PROX_HAWKER = c(0.815736811633103, 0.815736811633103,      0.815736811633103, 0.769612072642938, 0.89059259132002, 0.755409785256781,      0.755409785256781, 0.860123145519879, 0.736171211400498,      1.11261554439583, 0.646263997619536, 0.446535534086157, 0.501520555884575,      1.18812307179958, 0.340346390827249, 1.20831273824173, 0.472244893923117,      1.2762396177499, 0.3648710200987, 0.617364695979906), PROX_MRT = c(0.674833365376197,      0.674833365376197, 0.674833365376197, 0.714624513867521,      0.606842528225389, 0.729659889526201, 0.729659889526201,      0.675234243169572, 0.804998329325227, 0.417091391951799,      0.722831181419355, 0.4868918768976, 0.52882455357406, 0.256828620430729,      0.403335562748004, 0.387700307898407, 0.492638498779759,      0.484502150769697, 0.385567417899789, 0.623413162025338),          PROX_PARK = c(1.52614967260321, 1.52614967260321, 1.52614967260321,          1.52091098886828, 1.49905344652453, 1.49250729308795,          1.49250729308795, 1.60355051242194, 1.71737354643835,          1.38656874841243, 1.92330050908574, 1.69875568186822,          1.62685700377268, 1.11695175135574, 1.86766019581863,          1.04306097562022, 1.65421298847909, 1.39102562335911,          1.76180373116006, 1.52418818882418), PROX_GOOD_PRISCH = c(8.35538963357137,          8.35538963357137, 8.35538963357137, 8.39120163011403,          8.34857469941546, 8.44175881664207, 8.44175881664207,          8.24279341902993, 8.17476856172454, 8.34983568407236,          8.00696366683488, 8.43952013253886, 8.54142359534323,          8.65275846320069, 8.26299778187914, 8.76549326341746,          8.5589292690065, 8.1609833985331, 8.49089982759618, 8.72758527833631         ), PROX_MALL = c(0.158599011552442, 0.158599011552442,          0.158599011552442, 0.147411017927622, 0.223321337745784,          0.183177100903513, 0.183177100903513, 0.188384425612312,          0.109574351562212, 0.439097430243665, 0.265229996889848,          0.330972758922268, 0.395841490391381, 0.417130987397582,          0.335143296665789, 0.424594513900518, 0.446560923090423,          0.394560370801339, 0.428159644756295, 0.475604736810637         ), PROX_CHAS = c(0.158598978424062, 0.158598978424062,          0.158598978424062, 0.14741100268466, 0.21485891447712,          0.183177099178452, 0.183177099178452, 0.151781240761386,          0.048268048492383, 0.414359256629807, 0.23105278557526,          0.330972805611547, 0.364030465322827, 0.259891808560044,          0.30242004444134, 0.124680964632411, 0.324811070171065,          0.265229996652697, 0.218909691095897, 0.405258493214775         ), PROX_SUPERMARKET = c(0.144345834884574, 0.144345834884574,          0.144345834884574, 0.113022549454425, 0.218378438252518,          0.137568853383185, 0.137568853383185, 0.209139790637019,          0.15801430638391, 0.441697647833666, 0.313773352526138,          0.300218301814749, 0.356071330024396, 0.438907970807184,          0.332189289926598, 0.424593495373258, 0.408691343873882,          0.265230176390619, 0.365864675212809, 0.475604214408431         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 8L, 5L, 8L,          8L, 6L, 7L, 3L, 7L, 4L, 3L, 3L, 6L, 2L, 4L, 2L, 3L, 5L         ), WITHIN_350M_BUS = c(12L, 12L, 12L, 10L, 13L, 15L,          15L, 12L, 12L, 9L, 13L, 8L, 11L, 9L, 7L, 7L, 9L, 9L,          8L, 10L), WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 6L, 8L, 6L,          6L, 8L, 6L, 7L, 5L, 7L, 7L, 7L, 5L, 6L, 7L, 5L, 6L, 6L         ), DNeighbour = c(0, 4.16128184802804, 6.53229958602655,          67.3356743676569, 78.067063202054, 116.61913093076, 117.458171204206,          124.170837758791, 188.745743593379, 300.558958345028,          401.696512623101, 422.389904507569, 460.612904487785,          473.654713349634, 480.131734428614, 486.305118256914,          513.77343995544, 517.551124840664, 568.504914873377,          582.746407547137)), row.names = c("13", "298", "289",      "365", "112", "53", "402", "419", "438", "891", "174", "992",      "179", "976", "544", "773", "177", "736", "20", "330"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999898020241977, 0.999748709721141, 0.973475192303382,      0.964429343818191, 0.921507920341721, 0.920397898335506,      0.911256337992681, 0.801195519407889, 0.538739359202443,      0.275460425865247, 0.225270674638883, 0.140805299593494,      0.115165569588726, 0.103149580061437, 0.0921732436905599,      0.0495989403980363, 0.0446204765347108, 0.00233094961513144,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       580149807 
R squared (OOB):                  0.6372775 

$Forests[[14]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 365000, 371000,      390000, 4e+05, 390000, 430000, 395888, 368000, 4e+05, 375000,      4e+05, 425000, 370000, 342000, 450000, 3e+05, 465000, 332000,      455000), floor_area_sqm = c(92, 91, 91, 90, 91, 91, 91, 94,      100, 90, 100, 100, 93, 92, 105, 93, 94, 106, 104, 106), storey_order = c(2L,      5L, 2L, 2L, 2L, 2L, 4L, 3L, 2L, 3L, 5L, 5L, 3L, 3L, 4L, 4L,      2L, 2L, 3L, 4L), remaining_lease_mths = c(974, 965, 957,      947, 956, 956, 962, 1063, 937, 953, 935, 923, 1029, 922,      822, 950, 817, 933, 838, 933), PROX_CBD = c(17.6174166659189,      17.6174166659189, 17.630719557776, 17.5579663674298, 17.5146993337396,      17.980006840849, 17.4594236905894, 18.1899007658477, 18.1853912561079,      17.5759295796121, 18.2155576397088, 18.2155576397088, 18.2498667293237,      18.2744201988815, 18.4174433264455, 17.4336546583772, 18.4835571341017,      17.1401277939721, 18.3394484051955, 17.1634204962367), PROX_ELDERLYCARE = c(1.58663462608392,      1.58663462608392, 1.35614304544574, 1.26304449634962, 1.21552371031002,      1.69038013517483, 1.1429422216578, 2.0412967820292, 1.83831888483507,      1.07156662032258, 1.82774218733134, 1.82774218733134, 2.08641833813892,      1.91030467455468, 2.01990466694452, 0.825709875044437, 2.12772209584432,      0.586863575497558, 1.68689945441126, 0.565792923614884),          PROX_HAWKER = c(0.699652587196505, 0.699652587196505,          0.550798352023498, 0.610726758846462, 0.65109908849923,          0.32947027962251, 0.704564458032275, 0.56403310040428,          0.267411626133086, 0.622851592932912, 0.218122417644225,          0.218122417644225, 0.574007707230075, 0.292675997882175,          0.365194571711665, 0.841716009165303, 0.47819209562201,          0.685044657792881, 0.322806547864559, 0.666841975849823         ), PROX_MRT = c(0.430901962912929, 0.430901962912929,          0.481509556817778, 0.415424130147435, 0.367017506823782,          0.131298797620671, 0.304209523777939, 0.225540054498686,          0.186589372260449, 0.449846795062068, 0.24629140143503,          0.24629140143503, 0.270260950193414, 0.25859759791353,          0.394110762668951, 0.463093751675267, 0.440067919828323,          0.418422993771755, 0.722989849955079, 0.463116738810145         ), PROX_PARK = c(0.815337468455046, 0.815337468455046,          0.706852169587072, 0.622915525490857, 0.57589083993138,          0.597192139646456, 0.515475588097358, 0.321396863181507,          0.431621232177097, 0.650211227804106, 0.449638685926872,          0.449638685926872, 0.261745107633199, 0.366705585759005,          0.305293053539538, 0.609424449579261, 0.199823808978303,          0.454841043819919, 0.845903786092674, 0.505224516024672         ), PROX_GOOD_PRISCH = c(6.95710824587607, 6.95710824587607,          6.96345421686322, 6.89020500321914, 6.84682201594428,          7.31481473864251, 6.79149624878531, 7.5338271442293,          7.51998659904145, 6.90999703096039, 7.54917724573578,          7.54917724573578, 7.5938744989762, 7.60907430161507,          7.75189187586876, 6.77374769998522, 7.82005706650481,          6.48254224033906, 7.67457853159282, 6.50789265243056),          PROX_MALL = c(0.753687860987251, 0.753687860987251, 0.581015113036356,          0.488271313828636, 0.437698049352173, 0.38257003715367,          0.366883459562171, 0.601163950940652, 0.304347432784639,          0.456006423255308, 0.249434383428027, 0.249434383428027,          0.606938778613173, 0.31638525459609, 0.368677515727611,          0.404491618549369, 0.482762920255867, 0.306862579253759,          0.270650184250749, 0.353588302636786), PROX_CHAS = c(0.430898255483663,          0.430898255483663, 0.481496129777697, 0.40162373925963,          0.354009255575758, 0.131281394661179, 0.293637386768921,          0.225556636612455, 0.186582621643492, 0.401255348981324,          0.246283235408848, 0.246283235408848, 0.270276303087269,          0.258594927218762, 0.279695275413424, 0.260153188296123,          0.297885151722028, 0.133156315003352, 0.186439783883369,          0.171584438209325), PROX_SUPERMARKET = c(0.467885028141574,          0.467885028141574, 0.432325009404537, 0.339170507836652,          0.288534867112482, 0.37748716441855, 0.217741105325511,          0.37174850741073, 0.289364184128333, 0.338457664260807,          0.233030240431279, 0.233030240431279, 0.384544806397502,          0.297968471640837, 0.3481604922123, 0.355873580059747,          0.402675729717655, 0.27639551573194, 0.279112228601587,          0.320581809168482), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 4L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          6L, 6L, 6L, 5L, 6L, 5L, 7L, 5L, 7L, 7L, 6L, 7L, 7L, 4L,          9L, 3L, 4L, 4L), WITHIN_350M_BUS = c(6L, 6L, 8L, 9L,          10L, 14L, 8L, 13L, 16L, 8L, 15L, 15L, 11L, 17L, 14L,          12L, 12L, 7L, 11L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L,          4L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 6L, 6L, 4L, 5L, 5L, 6L,          5L, 4L, 6L, 4L), DNeighbour = c(0, 3.3156615107604, 290.965480928909,          357.129553147626, 396.746292118766, 399.981156051549,          458.30996254285, 583.747423118636, 592.728756463228,          627.278040003115, 636.809429873686, 645.345919501004,          650.049955908689, 682.159573412351, 818.980105662952,          857.387814554354, 874.90458875457, 999.973106937687,          1008.3499074801, 1032.16718511644)), row.names = c("14",      "220", "547", "545", "93", "910", "937", "422", "31", "357",      "571", "643", "369", "835", "257", "535", "774", "530", "693",      "991"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999979361979707,      0.847382343404622, 0.774900266382, 0.726331124722548, 0.722213505326264,      0.644552291073637, 0.462600513775243, 0.449207483779728,      0.397738764122523, 0.383601976791097, 0.370981570202621,      0.364046748654886, 0.317206439531062, 0.137215609964319,      0.0960946536822385, 0.0792473536458582, 0.0037710229139737,      0.00208096378122112, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1383732234 
R squared (OOB):                  0.2368224 

$Forests[[15]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 365000, 374000,      370000, 412000, 395000, 356888, 510000, 345000, 550000, 450000,      550000, 370000, 435000, 498000, 589000, 455000, 460000, 450000,      437000), floor_area_sqm = c(90, 90, 94, 90, 90, 90, 91, 97,      85, 98, 94, 95, 90, 94, 93, 96, 92, 92, 95, 94), storey_order = c(4L,      3L, 3L, 3L, 3L, 1L, 5L, 2L, 6L, 4L, 4L, 4L, 2L, 2L, 2L, 6L,      4L, 3L, 3L, 3L), remaining_lease_mths = c(986, 979, 987,      997, 1034, 997, 963, 1104, 968, 1103, 1123, 1115, 1016, 1113,      1102, 1111, 1133, 1107, 1126, 1120), PROX_CBD = c(13.5741440973944,      13.6373310118807, 13.4804039164095, 13.5299248791723, 13.9701294998534,      13.4480864429089, 13.1584578321731, 13.7787547800329, 13.131637538161,      13.7784857598507, 14.0429369190019, 13.9206851659757, 13.0393088300804,      14.0214886887106, 13.8269911518463, 13.8838492138892, 13.5263069451707,      14.2518409016409, 14.1366846915735, 14.0691382395842), PROX_ELDERLYCARE = c(0.759293685927778,      0.753498484846986, 0.746393599063579, 0.737190256849548,      0.798789790509628, 0.38095926022983, 0.528614390300154, 0.357313426679343,      0.425459762987539, 0.303554199654945, 1.1015647640471, 0.410984632703067,      0.38924985743242, 1.04333655871926, 0.272443342502121, 0.321249151015697,      0.13293861465481, 0.985840321219444, 1.17371591683522, 1.08280856328681     ), PROX_HAWKER = c(1.13978469441664, 1.08343538740726, 1.28815813567136,      1.28441999759135, 0.796241674024292, 1.11021170000921, 1.59466084315792,      0.779750574682814, 1.67102672130552, 0.771130061467184, 1.07710025413616,      0.63246529422046, 1.75849952292251, 1.2014358291776, 0.718894335359525,      0.661984274687099, 1.0232116664491, 0.656651462258042, 1.09084844555913,      1.21079813450924), PROX_MRT = c(0.147719870982538, 0.0904459633140829,      0.26513727845816, 0.189597864599581, 0.262922949537813, 0.436627689790507,      0.258879114766752, 0.373119808041594, 0.197259382412543,      0.334453451125385, 0.324573358240557, 0.247793554682504,      0.103022581922205, 0.325652198483679, 0.250191496834268,      0.202599849124069, 0.529059791722705, 0.189142279194464,      0.218319465176875, 0.281224364060027), PROX_PARK = c(0.739375101722708,      0.802899104641211, 0.640650351334918, 0.695004999747215,      0.929619749314005, 0.782217598170287, 0.332476768251147,      1.07510958061046, 0.350705699368152, 1.07038952907209, 0.58019258504408,      0.9355470513087, 0.291844359651056, 0.524931496780237, 1.00953333913803,      0.953674473627188, 1.00320858387115, 0.785709089572823, 0.474063272255088,      0.468913262301943), PROX_GOOD_PRISCH = c(4.41976113712118,      4.47444600576345, 4.38951064564596, 4.45977917937361, 4.76155598853922,      4.1394886986689, 4.13557899544262, 4.43794264479214, 4.16094245740848,      4.41640053984819, 4.9857651679507, 4.55661004860153, 4.09066115622083,      5.02043421457898, 4.43409233459216, 4.48950135049007, 4.12550653324601,      5.03443000866885, 5.09375212835948, 5.07622831499557), PROX_MALL = c(0.656440732478167,      0.719665126414215, 0.548104683226502, 0.598877544697789,      0.698652085628877, 0.747053206605742, 0.231810009894563,      0.579723774298741, 0.249640338015364, 0.546157830895501,      0.401409437181884, 0.441605558767423, 0.199839805040887,      0.399157770965225, 0.464449368072494, 0.415387276861254,      0.734460127270614, 0.535261743386166, 0.295276560881227,      0.352184781664103), PROX_CHAS = c(0.175269995719201, 0.111923036871509,      0.196586841411628, 0.124645472322039, 0.224338502615803,      0.419877338676521, 0.20604200841638, 0.2330532561781, 0.23569948169583,      0.171232412843018, 0.0207330025336023, 0.230184731543739,      0.19843851708658, 0.142774662207743, 0.093713435160417, 0.130388475133542,      0.164485608616764, 0.121511881264649, 0.0995517477546361,      0.167321001424632), PROX_SUPERMARKET = c(0.3594639622224,      0.371011221099329, 0.253358431108118, 0.181636181040517,      0.281017798180362, 0.428569074432488, 0.231809873410795,      0.233052713938452, 0.249639808314143, 0.171231859107883,      0.0207321820187816, 0.23018467784701, 0.199839014107547,      0.142773459146917, 0.0937132175773042, 0.130388583033251,      0.265115106421715, 0.121511691834874, 0.0995512052866983,      0.167319845962294), WITHIN_350M_KINDERGARTEN = c(2L, 2L,      3L, 4L, 2L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 2L, 1L, 1L, 1L, 0L,      2L, 0L, 1L), WITHIN_350M_CHILDCARE = c(6L, 6L, 5L, 5L, 7L,      5L, 6L, 4L, 5L, 5L, 6L, 4L, 8L, 6L, 5L, 3L, 5L, 10L, 8L,      8L), WITHIN_350M_BUS = c(10L, 11L, 9L, 8L, 13L, 4L, 7L, 11L,      7L, 7L, 9L, 13L, 7L, 9L, 8L, 9L, 2L, 9L, 8L, 9L), WITHIN_1KM_PRISCH = c(9L,      8L, 5L, 6L, 8L, 7L, 7L, 8L, 7L, 6L, 7L, 5L, 7L, 7L, 5L, 5L,      6L, 6L, 7L, 7L), DNeighbour = c(0, 62.8849051660819, 158.512726422509,      194.428657901264, 398.701175496318, 437.012370037802, 457.925681419868,      488.535271956003, 532.9368416291, 549.310752482398, 575.089849624771,      597.164214969216, 616.644894597354, 640.762824160099, 643.052180575669,      662.471536997872, 664.146281988905, 672.367789038045, 685.652693573579,      690.826446839116)), row.names = c("15", "660", "72", "165",      "301", "655", "339", "549", "153", "837", "754", "516", "141",      "878", "376", "723", "779", "73", "76", "57"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.983496280083074, 0.897473863325041, 0.847853339766534,      0.44477352381591, 0.359790476813511, 0.314281392406175, 0.249903366131165,      0.163917792973501, 0.135229942026035, 0.0942487457211762,      0.0638967269264416, 0.0413028831698206, 0.0195123374744504,      0.0178297337634626, 0.00646498601826455, 0.00573802326774821,      0.00277996864984393, 0.000222676750303455, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2125602578 
R squared (OOB):                  0.5884417 

$Forests[[16]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(440000, 436000, 435000,      420000, 418000, 460000, 420000, 415000, 456500, 395000, 445000,      440000, 425000, 420000, 450000, 441000, 358000, 365000, 450000,      438000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 94, 94, 92, 94, 94, 94, 93, 93, 94, 93, 94), storey_order = c(8L,      7L, 2L, 5L, 6L, 7L, 6L, 8L, 8L, 4L, 6L, 5L, 6L, 7L, 7L, 6L,      1L, 1L, 9L, 5L), remaining_lease_mths = c(1142, 1139, 1128,      1132, 1129, 1125, 1142, 1140, 1144, 1113, 1109, 1124, 1119,      1120, 1119, 1097, 1103, 1095, 1136, 1076), PROX_CBD = c(12.042332185553,      12.042332185553, 12.042332185553, 12.042332185553, 12.02897658153,      12.02897658153, 12.02897658153, 12.02897658153, 11.9527102757424,      11.9744040829633, 12.1122271384014, 12.0234479092478, 11.9828723130509,      12.0119641769274, 12.0119641769274, 11.8078122246038, 11.8075546541859,      11.7965908296893, 12.1741021183779, 11.9414743986494), PROX_ELDERLYCARE = c(0.786890441142101,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.841755023464642, 0.819362766143575, 0.738781707341689,      0.629785153682861, 0.938035651111226, 0.710325725805382,      0.673044116243487, 0.673044116243487, 0.95260617550949, 0.922118515238085,      1.00802268588986, 0.519600844901231, 0.687500817542951),          PROX_HAWKER = c(0.369655971945997, 0.369655971945997,          0.369655971945997, 0.369655971945997, 0.409616357379742,          0.409616357379742, 0.409616357379742, 0.409616357379742,          0.27814297307049, 0.217370340361849, 0.337796349528525,          0.507473565259923, 0.20448046373977, 0.222580914455278,          0.222580914455278, 0.262687630178652, 0.209140712961875,          0.337854809554552, 0.375471053349032, 0.147098227142532         ), PROX_MRT = c(0.298263347673859, 0.298263347673859,          0.298263347673859, 0.298263347673859, 0.331072457322778,          0.331072457322778, 0.331072457322778, 0.331072457322778,          0.200702114351669, 0.167322140356011, 0.302747284955937,          0.394231498000209, 0.170867756883987, 0.201095784108649,          0.201095784108649, 0.173777829752023, 0.120215557602138,          0.249549573241666, 0.338849049026276, 0.183575431830776         ), PROX_PARK = c(0.542226246468638, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.529446955515876,          0.529446955515876, 0.529446955515876, 0.529446955515876,          0.643017670933737, 0.679906922269617, 0.576425078157325,          0.506408767470305, 0.697136724289492, 0.691047645736797,          0.691047645736797, 0.746013140888617, 0.747098338531098,          0.739061594864021, 0.612679613149166, 0.807374064658721         ), PROX_GOOD_PRISCH = c(2.36724315061599, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36775586018775,          2.270018309959, 2.27223739349538, 2.408030235171, 2.39172047379238,          2.27447890050516, 2.29976812492723, 2.29976812492723,          2.13533890725473, 2.12338877581429, 2.14271827973834,          2.45580221931744, 2.21615815400514), PROX_MALL = c(0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.358721564938295, 0.358721564938295, 0.358721564938295,          0.358721564938295, 0.232344363503357, 0.214069216816763,          0.350899017798137, 0.441394824612777, 0.220402811054307,          0.251262654177611, 0.251262654177611, 0.17025857997445,          0.119447773727589, 0.241737870027575, 0.416829357908565,          0.22663965361209), PROX_CHAS = c(0.236223262451169, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.25157977989641,          0.146038815472653, 0.0939357367291076, 0.0703863092474096,          0.223839041128234, 0.0995919009989899, 0.131248018016709,          0.131248018016709, 0.170258520163124, 0.11944771257822,          0.101692541492014, 0.0461624602204791, 0.156140837156126         ), PROX_SUPERMARKET = c(0.33849828517841, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.314501000490003,          0.237998550380205, 0.22318738818849, 0.360308355053667,          0.244018176385425, 0.230351837454113, 0.261515416493987,          0.261515416493987, 0.168966076328732, 0.119571834445138,          0.17897337633635, 0.427183407476201, 0.236998053946951         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 5L, 7L, 7L, 2L, 6L, 6L, 6L, 4L, 4L, 3L, 7L, 6L         ), WITHIN_350M_BUS = c(10L, 10L, 10L, 10L, 11L, 11L,          11L, 11L, 12L, 10L, 7L, 10L, 7L, 6L, 6L, 11L, 10L, 9L,          5L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 1.22781674050463, 2.91548068988005,          4.95623543416996, 60.7157761152799, 60.7391835467996,          64.4734044988366, 64.8255600515737, 104.455325701168,          160.527223950101, 172.664042680581, 178.746867567205,          191.124312189139, 211.733401065524, 216.405611046386,          230.229109292054, 238.415554866183, 247.131365644147,          280.444198606017, 333.03261947346)), row.names = c("16",      "573", "908", "634", "700", "874", "318", "287", "749", "858",      "607", "502", "203", "167", "947", "439", "724", "41", "621",      "781"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999972815547023,      0.999846728945465, 0.999557093341193, 0.934629553133976,      0.934579992202315, 0.926446730953598, 0.925656591706238,      0.812926462965757, 0.589301991388868, 0.534652535686989,      0.506839319008611, 0.449770754667269, 0.354967779153911,      0.333801994931424, 0.272577046618886, 0.2376542288546, 0.201907961283677,      0.0846115165478536, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       761350047 
R squared (OOB):                  -0.02314353 

$Forests[[17]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 350000, 380000,      380000, 412000, 390000, 390000, 350000, 368888, 350000, 390000,      368000, 377000, 340000, 375000, 385000, 370000, 4e+05, 420000,      3e+05), floor_area_sqm = c(93, 93, 93, 92, 92, 93, 92, 92,      92, 92, 92, 92, 92, 92, 92, 92, 92, 96, 92, 85), storey_order = c(4L,      1L, 3L, 2L, 3L, 3L, 4L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 3L,      1L, 2L, 4L, 4L), remaining_lease_mths = c(1108, 1111, 1110,      1142, 1128, 1113, 1142, 1111, 1102, 1131, 1128, 1100, 1135,      1133, 1139, 1132, 1090, 1098, 1133, 798), PROX_CBD = c(14.6649260398624,      14.6221320584002, 14.607628567626, 14.4940333615496, 14.5596883563906,      14.6879879340018, 14.5596883563906, 14.8482953663728, 14.8482953663728,      14.6346875310408, 14.5136499050456, 14.9752079088984, 14.5662038835035,      14.8395197777251, 14.8395197777251, 14.9536689261967, 15.0414874321427,      15.0414874321427, 14.7615340778399, 14.6468242567931), PROX_ELDERLYCARE = c(0.374463671675583,      0.410896008057539, 0.363539264939185, 0.500918112427577,      0.399519357429504, 0.267910637295867, 0.399519357429504,      0.157028625587627, 0.157028625587627, 0.318998242024868,      0.440212280139716, 0.199763345782594, 0.396119369193007,      0.143171284390361, 0.143171284390361, 1.13414610370389e-06,      0.180026828914976, 0.180026828914976, 0.301679225956583,      0.791783477476035), PROX_HAWKER = c(0.515424723672587, 0.55845452984231,      0.571839614015762, 0.682637638745144, 0.625641729464286,      0.507741768149319, 0.625641729464286, 0.332945546865787,      0.332945546865787, 0.567748890704442, 0.681591249319273,      0.202333554334061, 0.661743266121302, 0.426817039061835,      0.426817039061835, 0.283688306330561, 0.135868389364205,      0.135868389364205, 0.582527401679673, 0.771377618176498),          PROX_MRT = c(1.31347134818138, 1.30119397664661, 1.42703012637354,          1.32800225952209, 1.46473462254762, 1.51619569366002,          1.46473462254762, 1.41585626072206, 1.41585626072206,          1.53691575721219, 1.51230084146916, 1.27457972333389,          1.61118001364451, 1.58589972239689, 1.58589972239689,          1.45204946878565, 1.27219969611937, 1.27219969611937,          1.75082728996661, 0.834242720427877), PROX_PARK = c(0.48594234877488,          0.524601749565547, 0.592644125813336, 0.65941869562705,          0.656743209310805, 0.573128508978659, 0.656743209310805,          0.40224168015695, 0.40224168015695, 0.633519966923, 0.723946747094916,          0.259935562114549, 0.741043428920938, 0.573834160005083,          0.573834160005083, 0.447466290733612, 0.270313948020077,          0.270313948020077, 0.739209778966795, 0.572284771964545         ), PROX_GOOD_PRISCH = c(5.30673314037113, 5.26427170666348,          5.28617698570013, 5.15263130971644, 5.25302892838613,          5.38500296681299, 5.25302892838613, 5.51627049340211,          5.51627049340211, 5.34297669438126, 5.22451833965112,          5.6171537261999, 5.30307595814772, 5.56483468018996,          5.56483468018996, 5.64958645026222, 5.69200203864946,          5.69200203864946, 5.53447364393692, 5.17213285521296),          PROX_MALL = c(0.439421746266814, 0.412850725186958, 0.523782484457491,          0.407798057490129, 0.550646738699849, 0.626246838364162,          0.550646738699849, 0.649229394533883, 0.649229394533883,          0.633302242537752, 0.591658790399046, 0.689421511186311,          0.69438942428714, 0.805396060532061, 0.805396060532061,          0.806257336881612, 0.767711199656331, 0.767711199656331,          0.897398400321744, 0.253080993480643), PROX_CHAS = c(0.0969357032130768,          0.0938393111767789, 0.198893245072118, 0.0559452214520875,          0.19650938121062, 0.160113448728027, 0.19650938121062,          0.274130336331615, 0.274130336331615, 0.120955806912261,          0.179710137259641, 0.230775629929228, 0.0799578054615725,          0.204546662914522, 0.204546662914522, 0.14456617920399,          0.163757574589084, 0.163757574589084, 0.166975848000366,          0.118994056415591), PROX_SUPERMARKET = c(0.0969351949685631,          0.0938384818523742, 0.223766299699327, 0.202112654374605,          0.27843134046436, 0.300165340388346, 0.27843134046436,          0.296829834724774, 0.296829834724774, 0.327836032489634,          0.343491998264143, 0.264202614673064, 0.41943325951703,          0.280088374069707, 0.280088374069707, 0.16127040484797,          0.197268674737732, 0.197268674737732, 0.408349928269047,          0.246822057901315), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(6L, 6L,          4L, 4L, 3L, 6L, 3L, 5L, 5L, 6L, 4L, 4L, 3L, 5L, 5L, 7L,          4L, 4L, 3L, 5L), WITHIN_350M_BUS = c(8L, 9L, 7L, 9L,          7L, 7L, 7L, 9L, 9L, 8L, 6L, 9L, 6L, 5L, 5L, 6L, 9L, 9L,          4L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 3L, 4L, 4L,          4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 41.7747428698056, 136.464826383793,          173.780601304755, 202.304553890689, 205.6010416881, 206.317807340777,          219.938691248358, 222.427476366781, 237.0093065616, 275.849115516461,          316.552872702964, 335.851882732582, 370.750904069579,          371.418124114754, 380.439364852157, 389.4443902122, 389.980712942591,          480.490766658151, 487.276364374329)), row.names = c("17",      "324", "452", "702", "961", "469", "163", "762", "195", "583",      "706", "558", "368", "543", "152", "139", "793", "632", "620",      "862"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.985354373964042,      0.849288420073478, 0.761797842337821, 0.684972110807602,      0.675630140680088, 0.673587490314743, 0.634047709349216,      0.626684905110999, 0.582808366841188, 0.461755887412514,      0.334051003699153, 0.275566117638578, 0.177313764324317,      0.17556171785238, 0.152439291076986, 0.13049168085374, 0.129222826695372,      0.000764920972818393, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       743823689 
R squared (OOB):                  -0.003724731 

$Forests[[18]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(530000, 4e+05, 8e+05,      566888, 795888, 810000, 745000, 533000, 649888, 495000, 840000,      685000, 755000, 750000, 825000, 820000, 413888, 7e+05, 408000,      805000), floor_area_sqm = c(118, 92, 105, 88, 95, 90, 90,      88, 87, 91, 87, 85, 90, 90, 87, 87, 88, 95, 84, 104), storey_order = c(2L,      1L, 6L, 8L, 7L, 10L, 7L, 1L, 3L, 3L, 14L, 4L, 5L, 11L, 5L,      9L, 2L, 3L, 6L, 3L), remaining_lease_mths = c(594, 555, 938,      650, 1140, 1045, 1057, 653, 1103, 648, 1141, 1038, 1038,      1035, 1136, 1136, 668, 1100, 647, 919), PROX_CBD = c(6.1023364257416,      5.99479776583207, 6.53309552941355, 6.76124856282603, 6.26284978479934,      5.99670752478149, 6.0390103189171, 6.92829321613491, 7.02256530608061,      5.90960582305016, 4.70219035054856, 4.89531124268982, 4.88070069409732,      4.88070069409732, 4.59114385332588, 4.59114385332588, 7.88501742637481,      7.97001655790022, 5.38657645344473, 4.1456930527125), PROX_ELDERLYCARE = c(0.14668864145384,      0.420516157550055, 0.112238297630375, 0.20742531007413, 0.69800247969724,      0.788986586736525, 0.798119493593788, 0.389684735109723,      0.467453442926814, 1.51538883702403, 0.200702517977741, 0.307888742732217,      0.312658206579851, 0.312658206579851, 0.125633226962327,      0.125633226962327, 0.487583248392117, 0.682273370470252,      0.465891927060243, 0.45180890917037), PROX_HAWKER = c(0.107292567178633,      0.295460487376037, 0.357983508144609, 0.171967883722699,      0.130331819855385, 0.199496524550099, 0.151348144296069,      0.133504850959355, 0.207247650371579, 0.358173289653819,      0.646528219825606, 0.546104933523636, 0.595417483526792,      0.595417483526792, 0.762382071136897, 0.762382071136897,      0.645875214067525, 0.840126401207934, 0.351855498276287,      0.668394095052703), PROX_MRT = c(0.649340944892975, 0.305306521480229,      0.404028215814371, 0.31120761671675, 0.132116935816272, 0.226103982865864,      0.225262429159589, 0.407218977151475, 0.409658939160285,      0.107293182941521, 0.491479629856663, 0.275254866694397,      0.314337158810329, 0.314337158810329, 0.586728793826683,      0.586728793826683, 0.707952731476156, 0.726942522279936,      0.675587286197546, 0.413017272318271), PROX_PARK = c(0.711925115709351,      0.990750186553446, 0.407986988455317, 0.273246118986377,      0.742212481577902, 0.97332058707081, 0.921128796109604, 0.377410917604964,      0.380160428577633, 0.242854512033048, 1.77379186206272, 1.60860995669454,      1.53366372097489, 1.53366372097489, 1.65596921250538, 1.65596921250538,      0.511064020035708, 0.618444971248099, 1.05249384295472, 1.16828897329218     ), PROX_GOOD_PRISCH = c(1.64363723354824, 2.01228232098645,      1.86607127862969, 1.9155109693321, 2.39901634170637, 2.41026804261554,      2.45094763896652, 2.0639866413545, 2.07008813823767, 0.280669099407447,      2.79995758206102, 2.96671225712824, 3.0451226436528, 3.0451226436528,      2.86977258716747, 2.86977258716747, 2.82520953766913, 2.78644315018514,      3.52335384407219, 3.20846684942761), PROX_MALL = c(0.58741271025502,      0.848644658978131, 0.26702131219094, 0.191774654856939, 0.965908348364742,      1.14826594162738, 1.15586968043917, 0.352244010010256, 0.395390786334096,      1.58703862644467, 0.970860317849455, 0.696065710972082, 0.63262312230698,      0.63262312230698, 0.992224857230604, 0.992224857230604, 0.535655644340599,      0.66906173274608, 0.184401966361696, 1.18405339004253), PROX_CHAS = c(0.142011209366223,      0.262677718190406, 0.144966662256637, 0.19177461752976, 0.0879111496245458,      0.157172829578474, 0.103484302768675, 0.180332756228222,      0.278446199404133, 0.370138139733765, 0.0639130956899198,      0.22404402777184, 0.278004299073392, 0.278004299073392, 0.156405874770629,      0.156405874770629, 0.102679570293108, 0.195243012850588,      0.131272369045618, 0.401816380076581), PROX_SUPERMARKET = c(0.585686837888717,      0.3581952061826, 0.26343506825427, 0.113049768890948, 0.0879117778441782,      0.212384620357781, 0.198926203527595, 0.0762755382886037,      0.0888694671696128, 0.644143855185467, 0.0639125072278545,      0.224044642536509, 0.278004958714438, 0.278004958714438,      0.156405662038775, 0.156405662038775, 0.158953339299884,      0.169510705521186, 0.182486832055582, 0.431453687618191),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 2L, 3L,          3L, 1L, 0L, 1L, 2L, 5L, 5L, 5L, 0L, 0L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 1L, 5L, 4L, 3L, 3L,          3L, 5L, 3L, 2L, 4L, 4L, 5L, 5L, 3L, 3L, 1L, 0L, 1L, 1L         ), WITHIN_350M_BUS = c(5L, 8L, 3L, 8L, 5L, 10L, 9L, 7L,          10L, 5L, 7L, 9L, 8L, 8L, 7L, 7L, 5L, 7L, 8L, 7L), WITHIN_1KM_PRISCH = c(1L,          1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 2L), DNeighbour = c(0, 399.62785069676,          442.14975754319, 659.936694986171, 757.022703453417,          794.234480137926, 826.656256079735, 843.982096247759,          928.606226214148, 1426.75855832792, 1718.73012195729,          1747.00756234917, 1813.7141623423, 1816.05224170323,          1825.85152645717, 1830.2981200422, 1889.35233352225,          2031.2012787075, 2070.50339438235, 2295.36312766872)), row.names = c("18",      "413", "81", "834", "562", "379", "832", "978", "221", "226",      "854", "916", "982", "39", "333", "768", "338", "904", "130",      "320"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.940295615907434,      0.927166197809431, 0.84151045744194, 0.794288288651876, 0.774879306209006,      0.757418380694179, 0.747886053513736, 0.699453354160329,      0.376547484037867, 0.193004886690648, 0.177007300975047,      0.141105609861473, 0.13989805988404, 0.134876883551236, 0.132619948542702,      0.103992357343089, 0.0470566421746214, 0.0347183187737148,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10878737197 
R squared (OOB):                  0.5439976 

$Forests[[19]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 465000, 488000,      290000, 560000, 538000, 620000, 418000, 409500, 515000, 520000,      660000, 451000, 678000, 450000, 440000, 446000, 545000, 480000,      582000), floor_area_sqm = c(93, 91, 104, 87, 105, 90, 103,      84, 84, 84, 107, 105, 83, 92, 104, 93, 94, 101, 94, 104),          storey_order = c(1L, 2L, 1L, 1L, 2L, 5L, 4L, 3L, 3L,          4L, 2L, 6L, 8L, 3L, 1L, 3L, 2L, 1L, 6L, 3L), remaining_lease_mths = c(772,          764, 776, 643, 913, 995, 742, 804, 807, 804, 892, 748,          604, 1103, 828, 759, 723, 938, 725, 935), PROX_CBD = c(4.25035751849909,          4.28329341592686, 4.16405648472164, 4.35364804731157,          3.91005014077452, 4.4759193492502, 3.79744534670369,          4.20973993763024, 4.20973993763024, 3.75781957676323,          4.23142849537126, 3.5952466633456, 3.63056019358172,          3.93031212371417, 5.12061996426338, 5.4791067318598,          4.45295385586978, 3.59494173601466, 4.50933618399607,          5.4901102241405), PROX_ELDERLYCARE = c(0.411587417191489,          0.4193003334471, 0.434539750657667, 0.402111762367986,          0.449207181019876, 0.136621520737764, 0.296175206272889,          0.156291063754703, 0.156291063754703, 0.582389211118023,          0.272010492111063, 0.354500614782039, 0.124703716495981,          0.159701117649001, 0.279354008399566, 0.505585511375112,          0.645271528549996, 0.692364880740494, 0.665866395733666,          0.157919913507301), PROX_HAWKER = c(0.610932712322496,          0.638679046714181, 0.502732414569621, 0.52502919100195,          0.464701711390969, 0.736355433757935, 0.300770398866256,          0.46881842734995, 0.46881842734995, 0.393163811818296,          0.392124905911543, 0.311385334077859, 0.0619655343942362,          0.374782156946409, 0.158729667464322, 0.736115689949186,          0.601904675681234, 0.142789347249218, 0.665007751295857,          0.258924665495), PROX_MRT = c(0.605174310138743, 0.637237645879563,          0.518003091395578, 0.698417082344063, 0.361698258812245,          0.930431293452388, 0.195276091150508, 0.750034220630686,          0.750034220630686, 0.434583879195091, 0.870814763860364,          0.16267041353008, 0.188513622979597, 0.57487373386568,          1.12797954219589, 0.797555156120123, 0.66128766903618,          0.346622733589529, 0.549595780709265, 1.30755754576723         ), PROX_PARK = c(0.346786980248178, 0.336599362476296,          0.269719137898212, 0.0959047492621704, 0.651892034671684,          0.786607284590569, 0.620239922284967, 0.828179073128827,          0.828179073128827, 0.885911587583127, 0.989030190878471,          0.796125682214674, 0.634729277660292, 0.43227753152338,          1.12857946410316, 0.728040918615253, 0.473457593144303,          1.03638785093261, 0.353281501558379, 0.803347187860442         ), PROX_GOOD_PRISCH = c(3.87277035706644, 3.85984302070176,          3.99853475328204, 4.11088283479722, 3.96984616110429,          3.43096694593549, 4.13618512399158, 3.58178441884724,          3.58178441884724, 3.98479480133756, 3.47561641519302,          4.26949140427292, 4.47678155678584, 4.55218800106713,          2.70116277997296, 2.93310132502147, 3.02211493728223,          4.68517728936996, 2.94429219434277, 2.45379201830723),          PROX_MALL = c(0.955673327573223, 0.92062293894618, 1.00998414702412,          0.801857467962545, 1.2652175398851, 1.02435160052226,          1.16769889708728, 1.26743973989934, 1.26743973989934,          1.1081035152608, 1.1888213641646, 0.962766222186716,          0.917363569028491, 1.09934779211931, 1.02774547618649,          0.719613179783111, 0.570379319619026, 0.814872047472938,          0.485349818185599, 1.21674302842157), PROX_CHAS = c(0.260827480873255,          0.285886541141976, 0.147909276913635, 0.130252709580884,          0.108899254787234, 0.105578702221058, 0.121619853002556,          0.163154212627783, 0.163154212627783, 0.345906079563203,          0.106822211501606, 0.0963682910788478, 0.112941217538546,          0.304936065418075, 0.193072984237221, 0.0706483510319072,          0.303272176186244, 0.0573592222158038, 0.331046161101227,          0.233242749827373), PROX_SUPERMARKET = c(0.512280309006142,          0.506434284786685, 0.506391752127701, 0.591301773724787,          0.115229795891962, 0.0670716613901785, 0.191561540751545,          0.118448079318654, 0.118448079318654, 0.128350069204848,          0.139079920157556, 0.269187390315468, 0.0867224629960944,          0.35411008396507, 0.198191070641627, 0.0706487501399716,          0.34627255092781, 0.0573596645426592, 0.325943517329761,          0.37596142908425), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          1L, 1L, 1L, 0L, 1L, 1L, 1L, 2L, 2L, 1L, 0L, 1L, 1L, 0L,          0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 4L, 6L,          4L, 4L, 2L, 4L, 3L, 3L, 4L, 6L, 4L, 5L, 3L, 4L, 2L, 1L,          3L, 1L, 3L), WITHIN_350M_BUS = c(5L, 5L, 5L, 6L, 5L,          5L, 5L, 7L, 7L, 3L, 7L, 6L, 4L, 5L, 9L, 3L, 6L, 4L, 5L,          10L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L, 2L, 3L, 2L,          3L, 3L, 2L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 0L, 0L, 3L),          DNeighbour = c(0, 40.0478993088199, 134.348250029885,          391.376353698174, 400.807535938967, 450.52200792425,          458.606452973742, 475.76364364615, 479.707210218353,          635.997676430497, 642.70016503937, 667.126083284021,          668.230914359527, 699.553513874305, 1164.19169735143,          1253.2460189545, 1310.88222401781, 1424.35581545272,          1430.17983568696, 1455.58655580774)), row.names = c("19",      "747", "223", "532", "176", "411", "952", "907", "382", "234",      "849", "699", "237", "801", "646", "802", "346", "997", "622",      "307"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998486616487925,      0.983034599106661, 0.860635074554617, 0.854104830544147,      0.817581452882487, 0.811320203179001, 0.797746847084043,      0.79457318626158, 0.654622140295882, 0.648092845401319, 0.624007947259285,      0.622908306586113, 0.591398765402383, 0.129819727110295,      0.0669233973803686, 0.0356995275360251, 0.00180210466816173,      0.00119747762292511, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6653479769 
R squared (OOB):                  0.2622355 

$Forests[[20]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(339000, 315000, 350000,      305000, 313000, 320000, 325000, 364000, 338000, 345000, 345000,      330000, 365000, 388000, 415000, 295000, 432000, 410000, 288000,      305000), floor_area_sqm = c(102, 102, 102, 99, 99, 101, 91,      100, 102, 102, 102, 102, 92, 92, 92, 101, 92, 92, 84, 99),          storey_order = c(3L, 2L, 4L, 1L, 4L, 1L, 2L, 2L, 4L,          4L, 2L, 1L, 1L, 1L, 2L, 1L, 4L, 2L, 3L, 4L), remaining_lease_mths = c(923,          913, 923, 921, 918, 924, 970, 921, 922, 926, 927, 911,          1135, 1134, 1125, 917, 1123, 1136, 893, 930), PROX_CBD = c(17.9456645257603,          17.9994058772431, 18.0569924715364, 17.9733391318796,          17.8728040148932, 18.0902268845521, 17.7083177660008,          17.9386403893839, 18.1611534549189, 18.236688278315,          18.2868848905217, 18.2320763538069, 17.8160591469996,          17.8160591469996, 17.7609329148819, 18.4986491838169,          17.7152334804069, 17.7152334804069, 18.3632948597919,          17.5508688704121), PROX_ELDERLYCARE = c(0.476454782767532,          0.430537495183344, 0.59750504274373, 0.376016337241346,          0.330981516384048, 0.706169610995159, 0.378187975507624,          0.714833653499633, 0.519233937445895, 0.732088251039709,          0.896456720381782, 0.927534095024191, 0.101440000613482,          0.101440000613482, 0.0656405943898966, 0.86418951980865,          0.0982899037000713, 0.0982899037000713, 0.645296274244347,          0.169110695114153), PROX_HAWKER = c(0.3648710200987,          0.472244893923117, 0.391180253405874, 0.501520555884575,          0.446535534086157, 0.370412154176866, 0.340346390827249,          0.201936965562497, 0.617364695979906, 0.537987121264097,          0.547085889030319, 0.493410913505403, 0.755409785256781,          0.755409785256781, 0.769612072642938, 0.838043969781633,          0.815736811633103, 0.815736811633103, 0.921741667576702,          0.736171211400498), PROX_MRT = c(0.385567417899789, 0.492638498779759,          0.384524332485438, 0.52882455357406, 0.4868918768976,          0.341202563029131, 0.403335562748004, 0.168914117564514,          0.623413162025338, 0.511061821383635, 0.495991449430539,          0.433316978327494, 0.729659889526201, 0.729659889526201,          0.714624513867521, 0.812751343363136, 0.674833365376197,          0.674833365376197, 0.927224403125457, 0.804998329325227         ), PROX_PARK = c(1.76180373116006, 1.65421298847909,          1.77011013021076, 1.62685700377268, 1.69875568186822,          1.8531048262974, 1.86766019581863, 1.99379565561889,          1.52418818882418, 1.7164330470264, 1.86697967968657,          1.96114614265628, 1.49250729308795, 1.49250729308795,          1.52091098886828, 1.49181484955502, 1.52614967260321,          1.52614967260321, 1.22890358268929, 1.71737354643835),          PROX_GOOD_PRISCH = c(8.49089982759618, 8.5589292690065,          8.58956131155308, 8.54142359534323, 8.43952013253886,          8.60631027953587, 8.26299778187914, 8.4444135457925,          8.72758527833631, 8.76378557853615, 8.78822500750919,          8.72297519828522, 8.44175881664207, 8.44175881664207,          8.39120163011403, 9.04519470993137, 8.35538963357137,          8.35538963357137, 8.96505409295358, 8.17476856172454),          PROX_MALL = c(0.428159644756295, 0.446560923090423, 0.407254736414821,          0.395841490391381, 0.330972758922268, 0.342860958869265,          0.335143296665789, 0.238372860218233, 0.475604736810637,          0.240339889961931, 0.1450338527091, 0.22704735136933,          0.183177100903513, 0.183177100903513, 0.147411017927622,          0.305101649121832, 0.158599011552442, 0.158599011552442,          0.282416841692855, 0.109574351562212), PROX_CHAS = c(0.218909691095897,          0.324811070171065, 0.222103720735081, 0.364030465322827,          0.330972805611547, 0.209799590563819, 0.30242004444134,          0.076984763134016, 0.405258493214775, 0.184864523484869,          0.0217240252323136, 0.11607611654581, 0.183177099178452,          0.183177099178452, 0.14741100268466, 0.305101651313883,          0.158598978424062, 0.158598978424062, 0.231219576578415,          0.048268048492383), PROX_SUPERMARKET = c(0.365864675212809,          0.408691343873882, 0.385535197909366, 0.356071330024396,          0.300218301814749, 0.342860053820009, 0.332189289926598,          0.171190500184261, 0.475604214408431, 0.240339157209448,          0.145032957963293, 0.227046556279957, 0.137568853383185,          0.137568853383185, 0.113022549454425, 0.305101855713295,          0.144345834884574, 0.144345834884574, 0.282416494634945,          0.15801430638391), WITHIN_350M_KINDERGARTEN = c(1L, 2L,          2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,          2L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 4L, 4L,          3L, 4L, 6L, 6L, 6L, 5L, 6L, 7L, 5L, 8L, 8L, 8L, 6L, 6L,          6L, 8L, 7L), WITHIN_350M_BUS = c(8L, 9L, 9L, 11L, 8L,          7L, 7L, 8L, 10L, 7L, 9L, 10L, 15L, 15L, 10L, 9L, 12L,          12L, 8L, 12L), WITHIN_1KM_PRISCH = c(6L, 7L, 6L, 7L,          7L, 5L, 5L, 5L, 6L, 6L, 4L, 4L, 6L, 6L, 6L, 4L, 7L, 7L,          4L, 6L), DNeighbour = c(0, 108.104777103706, 132.339779240498,          145.451059279812, 146.852786882527, 234.959267420849,          238.981801355761, 257.679969600893, 267.077855236215,          309.040674105668, 432.893494562674, 450.358863838126,          471.553401713961, 477.106652113291, 506.971107090714,          555.37075210344, 565.149740791511, 568.504914873377,          569.841399133143, 570.077625647014)), row.names = c("20",      "177", "491", "179", "992", "74", "544", "638", "330", "227",      "787", "443", "402", "53", "365", "684", "298", "13", "864",      "438"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.929372786997299,      0.895123043632867, 0.874042271323316, 0.871686498287323,      0.689115505388072, 0.679410520444376, 0.633119802356734,      0.609201359639911, 0.498611894079916, 0.179245650026896,      0.141305936700489, 0.0997189911857881, 0.0897439124251326,      0.0437404419664418, 0.00259391589596512, 0.000296313079677721,      3.0359231843988e-05, 6.86545461946138e-07, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1551829051 
R squared (OOB):                  0.06482372 

$Forests[[21]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(485000, 460000, 440000,      430000, 403000, 465000, 5e+05, 460000, 520000, 4e+05, 510000,      490000, 545000, 535000, 432000, 455000, 515000, 489000, 532000,      520000), floor_area_sqm = c(93, 93, 93, 92, 92, 93, 93, 92,      93, 92, 92, 95, 93, 93, 93, 93, 92, 92, 96, 93), storey_order = c(2L,      3L, 2L, 1L, 1L, 5L, 6L, 2L, 5L, 1L, 3L, 2L, 5L, 4L, 5L, 5L,      2L, 2L, 4L, 4L), remaining_lease_mths = c(1147, 1138, 1142,      1128, 1138, 1097, 1137, 1137, 1147, 1131, 1136, 1111, 1127,      1118, 1129, 1138, 1138, 1137, 1111, 1118), PROX_CBD = c(13.9293604468603,      13.8880322509317, 13.9713915856932, 13.983033341901, 13.9348601041022,      13.8110145095205, 13.7068457080251, 13.9481332653994, 13.7003463440691,      13.9748767742628, 14.0250110126613, 13.7780295697528, 13.8964286142315,      13.8964286142315, 13.4495242740615, 13.5153222954464, 14.4453014943547,      14.4453014943547, 13.8842234613226, 13.7912064237251), PROX_ELDERLYCARE = c(0.234065981952779,      0.250782943854859, 0.226595382415433, 0.0819455196406728,      0.122633260073778, 0.2424730747692, 0.409751638237597, 0.108372417523696,      0.434917902994305, 0.0869602171534455, 0.0392522324995346,      0.24280876806526, 0.28821019895416, 0.28821019895416, 0.226392675254826,      0.128038783583345, 0.431976777822193, 0.431976777822193,      0.284905700992106, 0.194902312085005), PROX_HAWKER = c(0.970053791291438,      0.989318285046145, 0.954180271331751, 0.818439961244233,      0.848294615942255, 0.93957565430704, 1.09574216637781, 0.783686601130967,      1.07570104527527, 0.759405218095962, 0.732915378457501, 0.855348356505915,      0.700607063348248, 0.700607063348248, 1.13086059974118, 1.06471945671836,      0.391270554493315, 0.391270554493315, 0.667389882084889,      0.761066408094757), PROX_MRT = c(0.101292979723356, 0.0905698875540676,      0.128817306959056, 0.0961191462833423, 0.066674836544346,      0.110074032088272, 0.23189639897339, 0.146013494832411, 0.256932190523524,      0.16215489673441, 0.179377644983316, 0.290902656750774, 0.214342865325431,      0.214342865325431, 0.537207200764636, 0.531733722241289,      0.309279527401184, 0.309279527401184, 0.172676244118343,      0.263976344610204), PROX_PARK = c(1.10248671215858, 1.13098813526459,      1.07610116952693, 0.973290645087517, 1.01289159319472, 1.12286028608686,      1.30108171005294, 0.964943529987853, 1.30953091682666, 0.93793434477989,      0.898948825756494, 1.08412864631293, 0.945155408432775, 0.945155408432775,      1.14705623529365, 1.12627074536918, 0.463863624631307, 0.463863624631307,      0.946790994443363, 1.03946212768551), PROX_GOOD_PRISCH = c(4.33684280477295,      4.29841605508598, 4.37541592083903, 4.42376284483209, 4.3780728039611,      4.2580170038876, 4.11427377683663, 4.41058426346667, 4.10033714204368,      4.4381077472328, 4.48326906164864, 4.27934963146811, 4.42474408393319,      4.42474408393319, 3.97306691053722, 4.05859518452173, 4.92565705183443,      4.92565705183443, 4.46427355245829, 4.37243865161908), PROX_MALL = c(0.634323955575517,      0.648384322611893, 0.625072347077181, 0.475935346664486,      0.500682206465503, 0.585854127158584, 0.786897805640679,      0.431747484707969, 0.816725098938654, 0.408666125180857,      0.387952579177684, 0.507308338763366, 0.36232957329041, 0.36232957329041,      0.817008429043632, 0.741140095950697, 0.259948531881284,      0.259948531881284, 0.384398044205003, 0.47180896375681),          PROX_CHAS = c(0.0456516508281062, 0.0495611607390083,          0.0752462089475253, 0.0483941894268844, 3.70448785353559e-08,          0.123846030022364, 0.0683167852462459, 0.0812590805558053,          0.0738696133860389, 0.0955424375353944, 0.116095717847762,          0.246000912873009, 0.190952462752685, 0.190952462752685,          0.142936854782623, 0.0484693686848179, 0.259948576333881,          0.259948576333881, 0.0936868185767241, 3.14247486029477e-08         ), PROX_SUPERMARKET = c(0.04565204632056, 0.0495614942866338,          0.0752464841458058, 0.123899374628808, 0.112910168339451,          0.157551778944521, 0.0683172333971998, 0.194128300134642,          0.0738703098972174, 0.205979542456043, 0.21237786594893,          0.271122867675942, 0.190953240917096, 0.190953240917096,          0.417643104955167, 0.321659607097496, 0.257218468152336,          0.257218468152336, 0.093687407280864, 8.52808058992138e-07         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 2L, 2L, 1L,          0L, 2L, 0L, 2L, 2L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 5L, 4L, 5L, 3L,          5L, 3L, 5L, 4L, 5L, 4L, 4L, 4L, 3L, 4L, 4L, 4L, 3L, 4L         ), WITHIN_350M_BUS = c(11L, 11L, 11L, 11L, 11L, 12L,          14L, 7L, 13L, 6L, 9L, 9L, 9L, 9L, 5L, 6L, 6L, 6L, 7L,          8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 3L,          4L, 3L, 4L, 4L, 6L, 5L, 5L, 4L, 5L, 4L, 4L, 5L, 5L),          DNeighbour = c(0, 38.8029901114493, 47.7660327725277,          155.393161129387, 156.838955586931, 194.655626654086,          221.62575776405, 234.524763740006, 236.587684537552,          240.022567931326, 247.526116945692, 387.157293999145,          468.252272969977, 470.262542901201, 612.134062324355,          613.72326478497, 632.719484471166, 638.618101899692,          644.608010583259, 647.680631518677)), row.names = c("21",      "662", "361", "710", "356", "645", "863", "34", "616", "690",      "8", "282", "442", "760", "988", "183", "855", "50", "670",      "420"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.992834302717498,      0.989151645849911, 0.88818785790056, 0.886160657424013, 0.827507041542574,      0.779530619813028, 0.754959456468312, 0.750938792858331,      0.744190299935932, 0.729219875311751, 0.413042080897589,      0.227831985684486, 0.223558717716839, 0.0113963316853204,      0.0104263597675946, 0.00208534326063711, 0.000772216224750765,      8.95969829187073e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1326581078 
R squared (OOB):                  0.3048458 

$Forests[[22]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 310000, 355000,      350000, 340000, 315000, 310000, 320800, 416000, 370000, 315000,      315000, 338000, 402000, 340000, 304500, 283000, 320000, 387008,      3e+05), floor_area_sqm = c(84, 91, 93, 91, 91, 91, 96, 92,      98, 93, 97, 84, 93, 93, 103, 104, 84, 104, 97, 84), storey_order = c(3L,      3L, 4L, 1L, 2L, 3L, 1L, 1L, 4L, 1L, 3L, 2L, 3L, 4L, 4L, 3L,      4L, 3L, 2L, 2L), remaining_lease_mths = c(806, 774, 761,      957, 782, 774, 772, 965, 779, 782, 746, 783, 778, 762, 784,      783, 781, 788, 775, 803), PROX_CBD = c(16.5546706157429,      16.3680873997092, 16.1297617902268, 16.4034806336055, 16.0688727275577,      16.1626205207603, 16.0124832316584, 16.3149444157129, 16.1674221276903,      15.9422949327985, 16.179026897848, 16.7380919986833, 16.3741208173644,      15.8715793299193, 16.4938482623735, 16.62872619839, 16.4061281598547,      16.4061281598547, 15.8742411347238, 16.9304098343314), PROX_ELDERLYCARE = c(1.28388145020366,      1.42545230549203, 1.29938230642316, 0.839978570407226, 1.20623153653763,      1.55788424655444, 1.41328722649904, 1.76400828031834, 0.762025473923165,      1.09392979000114, 1.73064849730919, 0.827102139700697, 0.617661573186221,      1.28212929908789, 0.54260343924556, 0.618318415391572, 0.45678545326778,      0.45678545326778, 0.784609866943175, 0.828632612828485),          PROX_HAWKER = c(0.634516033073404, 0.369132496020862,          0.335840869363962, 0.889236545198411, 0.426544691499688,          0.113648031708615, 0.231474226543029, 0.267171899978326,          0.872582424517839, 0.571238530927929, 0.141690035201285,          1.22509286076097, 1.08852003222566, 0.428166805124, 1.26080574998962,          1.328000513126, 1.27662029927611, 1.27662029927611, 0.921851461637316,          1.5376564224438), PROX_MRT = c(0.786543604226707, 0.767751604782153,          0.514969181151661, 0.660139833101166, 0.406145228037129,          0.733071345608223, 0.526610558032509, 0.980548762507945,          0.447065767326062, 0.22642613478059, 0.887672461516919,          0.950017645146174, 0.70945464840636, 0.326170963259121,          0.884131305433386, 1.00682967627403, 0.840195727203247,          0.840195727203247, 0.243577544220952, 1.07382507713197         ), PROX_PARK = c(0.413578796610442, 0.655349613079545,          0.709135847201637, 0.251028276822116, 0.697314652170583,          0.622244080025509, 0.641040622161513, 0.504828773517413,          0.490935310554108, 0.749126986336644, 0.539742315344257,          0.234693283811741, 0.371358045807383, 0.729541055973412,          0.418424058290637, 0.402413252549947, 0.499042267647801,          0.499042267647801, 0.457440234531046, 0.542342748872478         ), PROX_GOOD_PRISCH = c(6.95112153433386, 6.74866006620563,          6.52049985370614, 6.84769610957781, 6.46919552361138,          6.53246509089368, 6.39414010271149, 6.672975925328, 6.62018800412964,          6.35759010380229, 6.53838177865997, 7.2060126627476,          6.84990365493624, 6.26806838260706, 6.98980449668537,          7.12509880547394, 6.91087941258894, 6.91087941258894,          6.33578781760894, 7.43262545617428), PROX_MALL = c(0.809678350084408,          0.812249060303789, 0.568960814514176, 0.630333401213655,          0.45653839484425, 0.800586392071248, 0.598952481573277,          0.965701391482886, 0.402318259451987, 0.275355858531219,          0.960112961135972, 0.804164390636077, 0.523710338103731,          0.405953132327172, 0.506769239398443, 0.615098633053939,          0.408074329267436, 0.408074329267436, 0.159478773824134,          0.876234606673171), PROX_CHAS = c(0.102023856475547,          0.317481852326526, 0.215228497760129, 0.142060383584178,          0.123235071398074, 0.107377285719627, 0.191204296760245,          0.215258950862385, 0.277543603442508, 0.101928728560798,          0.0821179618758864, 0.206110482646065, 0.0863783451683255,          0.170717118999449, 0.128042490192306, 0.218296317772089,          0.178111672550416, 0.178111672550416, 0.159478805927642,          0.477517805288537), PROX_SUPERMARKET = c(0.57240719914765,          0.442251956603444, 0.353026966783941, 0.142061131074292,          0.399183655269817, 0.191669323632479, 0.214004200599592,          0.357579925001748, 0.277543419111335, 0.218983947734938,          0.224545288466622, 0.283037745664543, 0.0863776808909183,          0.323117190327721, 0.128042463684685, 0.218296734885766,          0.17811123384324, 0.17811123384324, 0.159478664733051,          0.422051752195747), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 2L, 1L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          3L, 3L, 3L, 5L, 4L, 1L, 3L, 2L, 3L, 3L, 4L, 2L, 4L, 4L,          4L, 4L, 5L, 1L), WITHIN_350M_BUS = c(10L, 8L, 8L, 7L,          9L, 9L, 8L, 8L, 6L, 8L, 8L, 5L, 4L, 8L, 6L, 6L, 8L, 8L,          8L, 4L), WITHIN_1KM_PRISCH = c(5L, 4L, 4L, 4L, 4L, 4L,          4L, 3L, 5L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 3L         ), DNeighbour = c(0, 261.35381814708, 434.144567119667,          445.727505355162, 484.909497350161, 513.116593468591,          569.996033151341, 589.300451539633, 598.026945134484,          625.508183204037, 633.775511279192, 646.014898891869,          666.127677565946, 680.445941138287, 784.431865527985,          803.263152229747, 841.526392730762, 843.985069252191,          844.710307814552, 948.8354297351)), row.names = c("22",      "198", "184", "206", "804", "335", "740", "980", "351", "708",      "336", "896", "788", "294", "150", "26", "49", "595", "83",      "833"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.854014375029764,      0.625116758295766, 0.607344328633566, 0.545855279496773,      0.500628234570136, 0.408475366001252, 0.37731852767602, 0.363312179614156,      0.319683402442982, 0.306740462600372, 0.287770933357966,      0.257179930335397, 0.235917206649669, 0.100182062917579,      0.0802621626780839, 0.0455397497702803, 0.0435963271055227,      0.0430301030655285, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       937938086 
R squared (OOB):                  0.2582271 

$Forests[[23]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(675000, 710000, 662000,      715000, 680000, 550000, 672000, 660000, 440000, 340000, 4e+05,      363000, 358000, 345000, 430000, 575000, 370000, 390000, 355000,      650000), floor_area_sqm = c(95, 93, 95, 95, 95, 102, 85,      85, 91, 84, 104, 84, 84, 84, 104, 101, 84, 84, 84, 104),          storey_order = c(2L, 6L, 3L, 6L, 4L, 3L, 5L, 3L, 5L,          1L, 2L, 4L, 3L, 1L, 2L, 6L, 3L, 1L, 3L, 3L), remaining_lease_mths = c(1093,          1084, 1093, 1099, 1084, 761, 1042, 1032, 669, 780, 783,          780, 770, 789, 781, 932, 777, 783, 782, 815), PROX_CBD = c(6.15852201326599,          6.17931132662417, 6.11286474740545, 6.06656257116635,          6.04001281876484, 6.04257091454572, 6.58265946872266,          6.62545736407856, 6.95185067667089, 6.73119135364588,          6.8579883001408, 6.82164733234375, 6.82164733234375,          7.23308787648785, 7.27303659463988, 5.56255806753875,          7.32999369210923, 4.91139217141794, 7.37752466520609,          7.71625132507906), PROX_ELDERLYCARE = c(0.428116600598184,          0.411122241220865, 0.471592353212743, 0.516985202466339,          0.545921172841312, 0.548656319889636, 0.129826558983194,          0.121758896932011, 0.368543492371998, 0.709869492714774,          0.650979480304367, 0.729511559050305, 0.729511559050305,          0.804640181087392, 0.949520652768775, 0.0599829320550621,          1.04617467786566, 0.53976690699019, 1.11141904944431,          1.13999552495818), PROX_HAWKER = c(0.104458461300263,          0.114709112077857, 0.0855319563513606, 0.0900485470251793,          0.0606577495598573, 0.19523132016882, 0.37361464573735,          0.33268573973532, 0.163396016993116, 0.84617550022745,          0.732876252375814, 0.834207881424508, 0.834207881424508,          0.727393295990439, 0.905159668549179, 0.248163252655802,          1.00458194418859, 0.526793317066312, 1.06790139631185,          0.888477780938884), PROX_MRT = c(0.567634817298681, 0.54480998513683,          0.576684647572531, 0.530436532640755, 0.53617676606472,          0.448203274012385, 0.288098631383321, 0.255638745600017,          0.258776848421036, 0.447149108468339, 0.479854345281657,          0.401668294921849, 0.401668294921849, 0.626719191507479,          0.477339162120678, 0.389634730949481, 0.446590670593176,          0.348715950460643, 0.450606800129455, 0.227897729387739         ), PROX_PARK = c(0.487498062645995, 0.461766774013401,          0.517760851715104, 0.548254609843109, 0.524571131123829,          0.651264615899835, 0.734858817801552, 0.741691321664553,          0.871860056746433, 1.30601230217613, 1.26891760289394,          1.33915084667526, 1.33915084667526, 1.17683143601381,          1.28136359713013, 0.136342453682232, 1.30043300411079,          0.454973393404149, 1.30417314517193, 0.374132090410645         ), PROX_GOOD_PRISCH = c(1.97696478280336, 1.95037752635058,          2.00772186702724, 2.03651743937875, 2.00925132829891,          2.14268529299874, 2.10026546945211, 2.08436883673306,          1.99104033276262, 2.67147237000904, 2.57894825178105,          2.67483404440455, 2.67483404440455, 2.53413597667736,          2.72285479219865, 3.30515733544794, 2.81856751915823,          3.07957394860643, 2.87682745937193, 1.93537396204111),          PROX_MALL = c(0.446404896609829, 0.476611693189829, 0.403935094648282,          0.365617038961166, 0.387042201482337, 0.264532440460292,          0.712222885156031, 0.757747380414752, 1.10491400246256,          0.894914409230097, 0.985446043286547, 0.977306285381771,          0.977306285381771, 1.33824767405872, 1.40144317349524,          0.719385659919303, 1.4733570331857, 0.779372162435287,          1.52964479685301, 1.9342939090943), PROX_CHAS = c(0.0766942583569258,          0.10259225576309, 0.0679258481743644, 0.0929349198733403,          0.134421273847083, 0.12619956254809, 0.19769969897302,          0.152169077912936, 0.197049444171332, 0.468632365618207,          0.418063314797021, 0.389404577789016, 0.389404577789016,          0.335243362149438, 0.150676124399865, 0.174009235365936,          0.100781853121145, 0.297280152993809, 0.123680988169118,          0.147762521806201), PROX_SUPERMARKET = c(0.11965836137487,          0.134806953278168, 0.0895469396191502, 0.0785030623714358,          0.0393286469640316, 0.178930757423705, 0.255985378039003,          0.21094349839638, 0.145490551360364, 0.541263540151477,          0.471666412940503, 0.457775852816324, 0.457775852816324,          0.400791637001426, 0.216512452964216, 0.173881454941229,          0.154588063793208, 0.212061147632098, 0.15284622075069,          0.185503456748824), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L,          1L, 1L, 1L, 2L, 3L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 4L, 4L, 0L, 0L, 3L, 2L, 1L, 1L, 1L, 2L, 4L, 4L,          4L, 2L, 5L, 3L), WITHIN_350M_BUS = c(6L, 6L, 6L, 8L,          8L, 7L, 2L, 2L, 4L, 4L, 3L, 4L, 4L, 4L, 7L, 2L, 8L, 7L,          9L, 6L), WITHIN_1KM_PRISCH = c(2L, 2L, 1L, 1L, 1L, 1L,          2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L         ), DNeighbour = c(0, 33.225872500455, 55.6594933719041,          94.7119416728736, 121.597894543731, 180.666733038273,          458.916496171402, 488.253114555337, 793.351003662853,          920.854438566465, 933.14515663585, 980.119639669787,          980.330108783996, 1186.67379717978, 1302.25870591509,          1366.30709588193, 1398.60434768838, 1416.28441076364,          1463.84147392392, 1576.24736118981)), row.names = c("23",      "756", "536", "297", "930", "453", "388", "841", "492", "529",      "168", "322", "46", "171", "611", "596", "187", "251", "948",      "809"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999111540687972,      0.997507765496096, 0.992792145286201, 0.988133048936117,      0.973897897886931, 0.837654381123031, 0.817307872331071,      0.557520110844142, 0.433888859904416, 0.421890459085574,      0.376207588726694, 0.376003893751403, 0.187680197327802,      0.100763204355031, 0.0618219943669523, 0.0452407105340979,      0.0371209311551911, 0.0189170396786417, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6240367043 
R squared (OOB):                  0.7154661 

$Forests[[24]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(565000, 540000, 575000,      417000, 585000, 440000, 410000, 435000, 658000, 615000, 380000,      435000, 412000, 420000, 390000, 428888, 415000, 438000, 447000,      376888), floor_area_sqm = c(93, 93, 93, 99, 93, 100, 100,      99, 84, 84, 104, 100, 103, 104, 104, 84, 84, 104, 107, 104     ), storey_order = c(6L, 4L, 5L, 3L, 4L, 3L, 3L, 2L, 3L, 2L,      1L, 4L, 4L, 2L, 1L, 3L, 3L, 2L, 3L, 3L), remaining_lease_mths = c(1127,      1142, 1133, 914, 1142, 911, 915, 928, 1120, 1122, 924, 924,      918, 922, 809, 774, 782, 812, 782, 810), PROX_CBD = c(12.4937468159193,      12.5378737745647, 12.4342034244884, 12.2815153207229, 12.454441113408,      12.2087069526051, 12.2087069526051, 12.2106818490232, 12.4891302242583,      12.3801819754074, 12.0301392517655, 12.114386347938, 11.9871965659798,      11.8892341343185, 11.7882471009294, 12.8776183162857, 12.8776183162857,      11.7215458353159, 11.7840832214562, 11.622690560426), PROX_ELDERLYCARE = c(0.714783075399861,      0.76025522927712, 0.678867196986192, 0.513657423159811, 0.717258387107597,      0.434858408662556, 0.434858408662556, 0.442541563379791,      0.707031754326944, 0.738453704244922, 0.255083942589415,      0.421163091926404, 0.210296865683283, 0.110349805405523,      0.114277277444971, 0.211786543917104, 0.211786543917104,      0.240093333498969, 0.481333190444255, 0.175524774720266),          PROX_HAWKER = c(0.680821394190482, 0.672948721825079,          0.504612881494125, 0.52278816815954, 0.459376407452819,          0.692592935098248, 0.692592935098248, 0.524204307723605,          0.384467206049481, 0.261296216065877, 0.598391326300702,          0.885134801830427, 0.625285574708341, 0.684056106771311,          0.647051853283446, 0.677647820815747, 0.677647820815747,          0.609281739536534, 0.436117874461739, 0.783966268147895         ), PROX_MRT = c(0.743366527772832, 0.707305973375369,          0.586933783104383, 0.703998835661039, 0.518913352820399,          0.89623888155871, 0.89623888155871, 0.743103019894999,          0.38468199977318, 0.367154517888221, 0.885297742933312,          1.10882075300419, 0.923336133969517, 1.00424261648768,          1.00317447086964, 0.301948361527339, 0.301948361527339,          0.989064774064853, 0.81394482428473, 1.15515804744233         ), PROX_PARK = c(0.683130710636032, 0.628331945846246,          0.628391467794767, 0.796788171077343, 0.580711209690395,          0.954913184146477, 0.954913184146477, 0.863487882808023,          0.50651752093578, 0.605799570777928, 1.04875150887626,          1.14970360230785, 1.09395352284574, 1.19263079577799,          1.24877122811849, 0.246982674114576, 0.246982674114576,          1.28416187507733, 1.20101103678102, 1.41684131410086),          PROX_GOOD_PRISCH = c(1.16886515239787, 1.17951788917503,          1.01367306567257, 0.952579960345566, 0.990054087408291,          1.04944877580977, 1.04944877580977, 0.91368762909787,          0.94986022590219, 0.823417580851307, 0.860616187528585,          1.17061030478036, 0.855677549512306, 0.842915880539328,          0.713901761199557, 1.22334421357001, 1.22334421357001,          0.585140695782779, 0.357669915539773, 0.733057242670121         ), PROX_MALL = c(0.778202426893423, 0.766094086501437,          0.600548053404267, 0.630705874818675, 0.549832225559512,          0.802829369116586, 0.802829369116586, 0.634332011832188,          0.458049841664737, 0.344173235497563, 0.707201836140707,          0.995792127022496, 0.732793638615111, 0.787722851944232,          0.741052769880115, 0.503182159926002, 0.503182159926002,          0.690287469384684, 0.489619370966043, 0.868993594299523         ), PROX_CHAS = c(0.147744885974614, 0.187116592266412,          0.134041173915956, 0.0753088652692227, 0.134313038880304,          0.0852358826892552, 0.0852358826892552, 0.140964983635816,          3.00974727266337e-08, 0.126495411341712, 0.202915262499126,          0.138740180982893, 0.171681037809818, 0.124859952031804,          0.0554870656895364, 0.128785172156574, 0.128785172156574,          0.164718468919614, 0.0667093090499658, 0.151742844958785         ), PROX_SUPERMARKET = c(0.667447252804164, 0.707597649659388,          0.543693418915242, 0.448534184110051, 0.499432454100223,          0.414959148864982, 0.414959148864982, 0.377835654599335,          0.425107542879533, 0.30203349112312, 0.20670525505664,          0.459680111992834, 0.172282484091702, 0.114394571204967,          0.0453848138423891, 0.17067511852319, 0.17067511852319,          0.169255457402684, 0.379080894647373, 0.151741730066283         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 2L, 1L, 2L, 2L,          2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 0L, 0L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 5L, 4L, 6L, 4L, 5L,          5L, 5L, 2L, 3L, 5L, 1L, 5L, 8L, 8L, 1L, 1L, 6L, 3L, 7L         ), WITHIN_350M_BUS = c(11L, 11L, 12L, 12L, 11L, 11L,          11L, 11L, 10L, 8L, 7L, 8L, 6L, 9L, 9L, 12L, 12L, 10L,          7L, 8L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 2L, 3L, 1L,          1L, 2L, 5L, 4L, 2L, 1L, 2L, 2L, 3L, 4L, 4L, 3L, 4L, 2L         ), DNeighbour = c(0, 51.0795129975685, 177.122255008295,          232.184172111085, 240.897560345122, 296.651826506356,          296.731546393621, 299.536100817028, 362.66899744772,          443.622194781064, 464.140361701435, 469.990392135656,          512.849501354193, 609.325679890465, 712.916406226264,          789.206979484827, 794.133572483242, 805.42646209939,          863.429262982389, 874.401658423907)), row.names = c("24",      "343", "310", "362", "641", "410", "680", "42", "505", "315",      "727", "707", "689", "148", "508", "892", "259", "625", "340",      "750"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.993186662531332,      0.919619328910814, 0.863953905119802, 0.853960460396233,      0.783049518252388, 0.782940024452, 0.779074215991283, 0.685537778425723,      0.551458241927533, 0.515871131100299, 0.505655194234975,      0.430336532791464, 0.26460926938674, 0.112395716257238, 0.0343623916904394,      0.0306840502799706, 0.0229652773252358, 0.000621976609097355,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1713179861 
R squared (OOB):                  0.7668145 

$Forests[[25]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(428000, 342000, 335000,      345000, 4e+05, 365000, 365000, 316000, 304000, 420000, 358888,      415000, 460000, 420000, 420000, 355000, 350000, 390000, 340000,      365000), floor_area_sqm = c(98, 94, 90, 92, 97, 95, 105,      104, 104, 104, 91, 100, 105, 90, 99, 94, 106, 104, 104, 107     ), storey_order = c(3L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 4L,      3L, 1L, 4L, 2L, 3L, 1L, 2L, 1L, 1L, 1L), remaining_lease_mths = c(730,      747, 731, 742, 734, 735, 771, 777, 776, 774, 763, 944, 770,      925, 929, 1071, 781, 763, 772, 766), PROX_CBD = c(14.0949321583848,      13.7770670669378, 13.8901285505698, 13.8901285505698, 13.4040436118709,      13.3652677077184, 14.8222691165004, 13.8730731524118, 13.8730731524118,      15.0460728336845, 13.6826822978472, 13.1525533734461, 15.1689870500438,      12.960867808991, 13.2222340992065, 15.3735649652411, 15.2518600651656,      13.1145091682395, 13.1145091682395, 13.578535689825), PROX_ELDERLYCARE = c(1.07365166923746,      0.919307603677702, 0.540311266279695, 0.540311266279695,      0.954835536666776, 0.876024529291782, 0.151522520392741,      0.192118066579221, 0.192118066579221, 0.0734543941007858,      0.000158780971194199, 0.640770029240432, 0.235447740717014,      0.579007844644764, 0.385934705647939, 0.0572763643156628,      0.341160576506438, 0.233566729538939, 0.233566729538939,      0.535215785060316), PROX_HAWKER = c(0.516176882783883, 0.478671478091809,      0.213123049695643, 0.213123049695643, 0.780321580506598,      0.775887609068758, 0.189112683951821, 0.635045114374877,      0.635045114374877, 0.321243604465073, 0.699744847940348,      0.959649545299011, 0.493984449855749, 1.16344345150942, 1.08380419022874,      0.371848396937832, 0.711147803357143, 1.24018164124527, 1.24018164124527,      0.775756145922257), PROX_MRT = c(0.499812381699912, 0.771349314593772,      0.793013171832836, 0.793013171832836, 0.515309591544804,      0.585785046275015, 0.506610369321483, 0.865482366580506,      0.865482366580506, 0.667161579318597, 0.751023886560838,      0.944408516927639, 0.840089990200814, 0.899387073359532,      0.503688459146237, 0.753708157385654, 1.05589835680014, 0.402767024758649,      0.402767024758649, 0.357978123578611), PROX_PARK = c(0.62523741493865,      0.941140572803456, 1.23128896715218, 1.23128896715218, 1.22140134317452,      1.30724345285799, 1.20591145519053, 1.73324375775577, 1.73324375775577,      1.32178658469093, 1.77145949687945, 1.65277848527316, 1.48925201971724,      1.44660566239193, 1.61082819122054, 0.535685352466539, 1.72109509304533,      1.4917670023494, 1.4917670023494, 1.33984402369384), PROX_GOOD_PRISCH = c(3.57828936266804,      3.3146343023011, 3.56420611596829, 3.56420611596829, 2.95770979509606,      2.95461231779958, 4.44405903659268, 3.76914808697313, 3.76914808697313,      4.66454637236311, 3.58938982364218, 2.95137840528657, 4.81784539373378,      2.82458087567675, 3.2388029474634, 4.72825571795328, 4.96507368960908,      3.15473759747012, 3.15473759747012, 3.55013641033528), PROX_MALL = c(0.812049880186,      0.672803550263317, 1.05377974643614, 1.05377974643614, 0.412160376682232,      0.473263954532778, 1.74752862756084, 0.861712986146148, 0.861712986146148,      1.83033637772351, 0.770100764029299, 0.703422933264244, 1.93173107331603,      0.695129776671669, 0.587950861513872, 0.408391974099547,      2.06076738363197, 0.504156272689578, 0.504156272689578, 0.305514521023982     ), PROX_CHAS = c(0.135156069731972, 0.0886717393158711, 0.0812638133573676,      0.0812638133573676, 0.240863562772424, 0.179342279988699,      0.191193294854487, 0.0967538959757692, 0.0967538959757692,      0.0544168696099871, 0.110149755252424, 0.1365287941905, 0.22714457633909,      0.341366062526918, 0.151225190585885, 0.289984207596008,      0.453299264887269, 0.11048408202451, 0.11048408202451, 0.282171570268124     ), PROX_SUPERMARKET = c(0.352618767904154, 0.334979160094168,      0.082811926566736, 0.082811926566736, 0.422907964790702,      0.487840963146543, 0.188017328828043, 0.094684564379848,      0.094684564379848, 0.286721618184596, 0.11210687568128, 0.688592108834651,      0.459690883388295, 0.668273194253219, 0.459946280432931,      0.406388098650168, 0.644027759940317, 0.362446168440829,      0.362446168440829, 0.281417393052806), WITHIN_350M_KINDERGARTEN = c(0L,      1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 0L, 2L, 0L, 0L, 2L,      0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(1L, 3L, 4L, 4L,      5L, 6L, 2L, 3L, 3L, 1L, 3L, 2L, 1L, 1L, 5L, 4L, 0L, 6L, 6L,      4L), WITHIN_350M_BUS = c(9L, 10L, 4L, 4L, 6L, 6L, 6L, 8L,      8L, 5L, 9L, 6L, 4L, 2L, 8L, 12L, 6L, 7L, 7L, 10L), WITHIN_1KM_PRISCH = c(2L,      2L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 3L, 4L, 1L,      1L, 3L, 3L, 4L), DNeighbour = c(0, 355.997997353047, 616.491316787121,      618.102921660707, 706.90948629401, 771.067787228322, 933.574909537053,      1126.25124286837, 1129.86996294247, 1135.34892957885, 1146.61186159735,      1173.14262699769, 1300.59128856977, 1373.10194055597, 1445.18656990073,      1455.93576999356, 1495.10564962143, 1596.76949530998, 1601.94211850197,      1680.62391067015)), row.names = c("25", "337", "90", "214",      "757", "238", "64", "230", "36", "256", "1000", "496", "739",      "831", "350", "601", "109", "164", "844", "856"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.912273718711858, 0.748988070369339, 0.747769270491433,      0.67745424018797, 0.623316415629015, 0.478071941356552, 0.303506265054824,      0.300329761491268, 0.295532953441325, 0.285722219215605,      0.262902544664339, 0.160896374259416, 0.110542742627479,      0.0678881261380887, 0.0622565799960441, 0.0435089097079868,      0.00946731592058296, 0.00836167485838964, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1367794885 
R squared (OOB):                  0.2237197 

$Forests[[26]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(304500, 340000, 315000,      283000, 320000, 338000, 3e+05, 3e+05, 350000, 285000, 288000,      292000, 258000, 416000, 4e+05, 420000, 428000, 433000, 416000,      365000), floor_area_sqm = c(104, 103, 84, 84, 104, 93, 84,      84, 91, 84, 84, 84, 84, 98, 92, 92, 92, 92, 92, 92), storey_order = c(3L,      4L, 2L, 4L, 3L, 3L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 4L, 2L, 5L,      4L, 4L, 4L, 1L), remaining_lease_mths = c(783, 784, 783,      781, 788, 778, 803, 766, 957, 776, 770, 761, 781, 779, 1130,      1143, 1140, 1130, 1140, 1137), PROX_CBD = c(16.62872619839,      16.4938482623735, 16.7380919986833, 16.4061281598547, 16.4061281598547,      16.3741208173644, 16.9304098343314, 16.3138748954346, 16.4034806336055,      16.2311391435218, 16.2681803933938, 16.3662877971208, 16.1631400386504,      16.1674221276903, 16.1976566517324, 16.1537572283104, 16.1831859860721,      16.055983361932, 16.055983361932, 16.0046521285213), PROX_ELDERLYCARE = c(0.618318415391572,      0.54260343924556, 0.827102139700697, 0.45678545326778, 0.45678545326778,      0.617661573186221, 0.828632612828485, 0.259941730365991,      0.839978570407226, 0.252142982647588, 0.20801878428071, 0.177020457931737,      0.194171564025932, 0.762025473923165, 9.89208662673193e-07,      0.0462823216560119, 0.0701319802482612, 0.146417557277997,      0.146417557277997, 0.20718686492254), PROX_HAWKER = c(1.328000513126,      1.26080574998962, 1.22509286076097, 1.27662029927611, 1.27662029927611,      1.08852003222566, 1.5376564224438, 1.19589315813724, 0.889236545198411,      1.12300848995143, 1.14155805943316, 1.20613696965479, 1.03995728027003,      0.872582424517839, 1.03146250928298, 0.986028325459381, 1.00994702859189,      0.897672222950446, 0.897672222950446, 0.855932206484513),          PROX_MRT = c(1.00682967627403, 0.884131305433386, 0.950017645146174,          0.840195727203247, 0.840195727203247, 0.70945464840636,          1.07382507713197, 0.896077488488813, 0.660139833101166,          0.830985280221221, 0.896888955057001, 1.07002489239586,          0.842728374229233, 0.447065767326062, 1.02706758196582,          1.02112351286352, 1.08237519657155, 0.936151237003446,          0.936151237003446, 0.883219311345816), PROX_PARK = c(0.402413252549947,          0.418424058290637, 0.234693283811741, 0.499042267647801,          0.499042267647801, 0.371358045807383, 0.542342748872478,          0.695881850270676, 0.251028276822116, 0.723677668737743,          0.750067315759091, 0.840406553837571, 0.707513815343702,          0.490935310554108, 0.822565203699192, 0.793519520304926,          0.848434833813522, 0.683762717294504, 0.683762717294504,          0.619767633008914), PROX_GOOD_PRISCH = c(7.12509880547394,          6.98980449668537, 7.2060126627476, 6.91087941258894,          6.91087941258894, 6.84990365493624, 7.43262545617428,          6.84997592861041, 6.84769610957781, 6.76533990958697,          6.81173689796023, 6.93507101526025, 6.70927938580052,          6.62018800412964, 6.78043949525415, 6.74044920052795,          6.78038310261662, 6.63421015362065, 6.63421015362065,          6.57618460349959), PROX_MALL = c(0.615098633053939, 0.506769239398443,          0.804164390636077, 0.408074329267436, 0.408074329267436,          0.523710338103731, 0.876234606673171, 0.242195958154985,          0.630333401213655, 0.175221521556568, 0.188162247463955,          0.298590834338171, 0.0870960802892481, 0.402318259451987,          0.189710317758296, 0.180580587241737, 0.241735562355662,          0.118546137622893, 0.118546137622893, 0.110811660449771         ), PROX_CHAS = c(0.218296317772089, 0.128042490192306,          0.206110482646065, 0.178111672550416, 0.178111672550416,          0.0863783451683255, 0.477517805288537, 0.218904529587093,          0.142060383584178, 0.170601730776313, 0.160774225575301,          0.209004221202181, 0.081875317774622, 0.277543603442508,          0.0868060808909073, 0.0922372285822684, 0.148113838308576,          0.110329053122027, 0.110329053122027, 0.114687044901222         ), PROX_SUPERMARKET = c(0.218296734885766, 0.128042463684685,          0.283037745664543, 0.17811123384324, 0.17811123384324,          0.0863776808909183, 0.422051752195747, 0.204979568486045,          0.142061131074292, 0.137275095711229, 0.189660657064324,          0.303085580417471, 0.0873208554119548, 0.277543419111335,          0.195853508350489, 0.186806037215644, 0.247969406526707,          0.123371553336512, 0.123371553336512, 0.112847248683738         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 0L, 0L, 1L,          0L, 0L, 2L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 3L, 4L, 4L, 4L,          1L, 4L, 3L, 5L, 6L, 8L, 6L, 3L, 8L, 8L, 7L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 5L, 8L, 8L, 4L, 4L, 8L,          7L, 10L, 11L, 5L, 11L, 6L, 7L, 7L, 7L, 7L, 7L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 3L, 5L, 4L, 5L, 5L, 4L, 5L, 5L, 5L,          4L, 4L, 5L, 5L, 5L), DNeighbour = c(0, 139.992882834177,          209.478860185565, 224.092533200886, 231.074659784628,          293.857135211623, 310.730342513015, 384.34724750262,          441.126728942426, 442.339247904918, 443.757416741511,          470.018100043221, 532.292000267479, 564.571750922433,          621.047418247718, 662.807665940474, 686.604173085624,          703.112549548167, 707.469103452254, 724.240699300717)), row.names = c("26",      "150", "896", "49", "595", "788", "833", "848", "206", "945",      "798", "687", "872", "351", "427", "869", "661", "741", "538",      "594"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.92666927813488,      0.83968016391341, 0.817687943486929, 0.806767024154156, 0.697844525758538,      0.665728995732464, 0.51605286504807, 0.395654987604705, 0.393089941187323,      0.390091547910441, 0.335037564118904, 0.211439551596784,      0.153917736720777, 0.0700489690641983, 0.0263909742294229,      0.0102481597198164, 0.0033056293950805, 0.0020956901263376,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3321699585 
R squared (OOB):                  -0.01740462 

$Forests[[27]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 4e+05, 420000,      350000, 340000, 375000, 385000, 377000, 350000, 390000, 368888,      350000, 310000, 390000, 331000, 390000, 412000, 380000, 268000,      4e+05), floor_area_sqm = c(92, 92, 92, 104, 92, 92, 92, 92,      92, 93, 92, 92, 104, 92, 107, 92, 92, 93, 84, 96), storey_order = c(4L,      3L, 4L, 3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 1L, 3L, 2L, 2L, 4L,      3L, 3L, 3L, 2L), remaining_lease_mths = c(1142, 1136, 1133,      812, 1133, 1139, 1132, 1135, 1131, 1113, 1102, 1111, 869,      1128, 869, 1142, 1128, 1110, 822, 1098), PROX_CBD = c(14.8350589102573,      14.7935232496013, 14.7615340778399, 14.8739209120931, 14.8395197777251,      14.8395197777251, 14.9536689261967, 14.5662038835035, 14.6346875310408,      14.6879879340018, 14.8482953663728, 14.8482953663728, 15.2437764157418,      14.5136499050456, 15.2221855529023, 14.5596883563906, 14.5596883563906,      14.607628567626, 15.3723771683987, 15.0414874321427), PROX_ELDERLYCARE = c(0.366071958673004,      0.348662381557687, 0.301679225956583, 0.224374856243457,      0.143171284390361, 0.143171284390361, 1.13414610370389e-06,      0.396119369193007, 0.318998242024868, 0.267910637295867,      0.157028625587627, 0.157028625587627, 0.313986883487753,      0.440212280139716, 0.277621781700774, 0.399519357429504,      0.399519357429504, 0.363539264939185, 0.488083454274335,      0.180026828914976), PROX_HAWKER = c(0.625406547060166, 0.61938764744993,      0.582527401679673, 0.490895901627697, 0.426817039061835,      0.426817039061835, 0.283688306330561, 0.661743266121302,      0.567748890704442, 0.507741768149319, 0.332945546865787,      0.332945546865787, 0.306302732963744, 0.681591249319273,      0.252887916114098, 0.625641729464286, 0.625641729464286,      0.571839614015762, 0.473722511855576, 0.135868389364205),          PROX_MRT = c(1.81204065654847, 1.80023823132094, 1.75082728996661,          1.67344316225132, 1.58589972239689, 1.58589972239689,          1.45204946878565, 1.61118001364451, 1.53691575721219,          1.51619569366002, 1.41585626072206, 1.41585626072206,          1.43926724244883, 1.51230084146916, 1.3991563615676,          1.46473462254762, 1.46473462254762, 1.42703012637354,          1.53295440749368, 1.27219969611937), PROX_PARK = c(0.813480610745631,          0.794674698621811, 0.739209778966795, 0.671840643384197,          0.573834160005083, 0.573834160005083, 0.447466290733612,          0.741043428920938, 0.633519966923, 0.573128508978659,          0.40224168015695, 0.40224168015695, 0.554495921895103,          0.723946747094916, 0.500874596291267, 0.656743209310805,          0.656743209310805, 0.592644125813336, 0.719474571135727,          0.270313948020077), PROX_GOOD_PRISCH = c(5.6396253746677,          5.58881641790013, 5.53447364393692, 5.63420261242257,          5.56483468018996, 5.56483468018996, 5.64958645026222,          5.30307595814772, 5.34297669438126, 5.38500296681299,          5.51627049340211, 5.51627049340211, 5.96162295702861,          5.22451833965112, 5.9271396376627, 5.25302892838613,          5.25302892838613, 5.28617698570013, 6.12183876163327,          5.69200203864946), PROX_MALL = c(1.03026167893405, 0.980189305249844,          0.897398400321744, 0.927972955155417, 0.805396060532061,          0.805396060532061, 0.806257336881612, 0.69438942428714,          0.633302242537752, 0.626246838364162, 0.649229394533883,          0.649229394533883, 1.03199787585398, 0.591658790399046,          1.02106462402642, 0.550646738699849, 0.550646738699849,          0.523782484457491, 1.02404161156211, 0.767711199656331         ), PROX_CHAS = c(0.298721071991625, 0.244316778428722,          0.166975848000366, 0.25243947150411, 0.204546662914522,          0.204546662914522, 0.14456617920399, 0.0799578054615725,          0.120955806912261, 0.160113448728027, 0.274130336331615,          0.274130336331615, 4.60754704120663e-08, 0.179710137259641,          0.0544459444778504, 0.19650938121062, 0.19650938121062,          0.198893245072118, 0.183904955535591, 0.163757574589084         ), PROX_SUPERMARKET = c(0.402632437071234, 0.416104879739584,          0.408349928269047, 0.298947211163532, 0.280088374069707,          0.280088374069707, 0.16127040484797, 0.41943325951703,          0.327836032489634, 0.300165340388346, 0.296829834724774,          0.296829834724774, 0.0947293086454089, 0.343491998264143,          0.0768892314501321, 0.27843134046436, 0.27843134046436,          0.223766299699327, 0.267991425015023, 0.197268674737732         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L, 3L, 5L, 5L,          7L, 3L, 6L, 6L, 5L, 5L, 4L, 4L, 5L, 3L, 3L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(6L, 6L, 4L, 6L, 5L, 5L, 6L, 6L,          8L, 7L, 9L, 9L, 8L, 6L, 8L, 7L, 7L, 7L, 7L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 3L, 4L, 3L,          4L, 4L, 4L, 2L, 3L), DNeighbour = c(0, 53.7144145580863,          131.158549612837, 139.293127622483, 255.185001418135,          255.887856633923, 362.868776566533, 371.989803688541,          401.244269145775, 403.591874081496, 453.250069061925,          456.494152326092, 469.230378434934, 472.268865086658,          473.181232623977, 488.86123065746, 493.112510902302,          508.021140210663, 540.55625616655, 541.438366429521)), row.names = c("27",      "478", "620", "602", "543", "152", "139", "368", "583", "469",      "195", "762", "578", "706", "679", "163", "961", "452", "867",      "632"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.980412852435636,      0.886082057206296, 0.872009955213573, 0.605077742406604,      0.603172965891318, 0.30342462088723, 0.278758728165554, 0.203233064066064,      0.197463460661121, 0.0895364654915752, 0.0836130080984567,      0.0619715061876147, 0.0572081985030479, 0.0558092881492587,      0.0341448178367753, 0.0290848415548715, 0.0143112003746113,      1.05998531291802e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1237126902 
R squared (OOB):                  0.1021835 

$Forests[[28]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 4e+05, 412000,      367000, 418000, 420000, 362000, 428000, 370000, 423888, 390000,      420000, 416000, 433000, 4e+05, 415000, 395000, 365000, 415000,      258000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 93, 84), storey_order = c(3L,      2L, 5L, 1L, 5L, 3L, 1L, 4L, 1L, 5L, 2L, 5L, 4L, 4L, 2L, 5L,      2L, 1L, 4L, 1L), remaining_lease_mths = c(1143, 1137, 1144,      1137, 1138, 1144, 1135, 1140, 1146, 1136, 1139, 1143, 1140,      1130, 1130, 1144, 1146, 1137, 1141, 781), PROX_CBD = c(16.0475930141239,      16.0475930141239, 16.0903666266177, 16.0903666266177, 16.0903666266177,      15.9392575628934, 15.9297907572658, 16.1831859860721, 15.87024444961,      15.9500375777464, 16.0085061296439, 16.1537572283104, 16.055983361932,      16.055983361932, 16.1976566517324, 15.9533618390172, 16.0046521285213,      16.0046521285213, 15.719551353229, 16.1631400386504), PROX_ELDERLYCARE = c(0.129564145964732,      0.129564145964732, 0.179967723198436, 0.179967723198436,      0.179967723198436, 0.0436662178849567, 0.0463608633689567,      0.0701319802482612, 0.10693627682917, 0.0923316964070077,      0.133825008100465, 0.0462823216560119, 0.146417557277997,      0.146417557277997, 9.89208662673193e-07, 0.251148223850536,      0.20718686492254, 0.20718686492254, 0.251997184681221, 0.194171564025932     ), PROX_HAWKER = c(0.872301448799324, 0.872301448799324,      0.9143232220583, 0.9143232220583, 0.9143232220583, 0.765854363537175,      0.768716574287481, 1.00994702859189, 0.694651515851724, 0.798502368740115,      0.86073340068049, 0.986028325459381, 0.897672222950446, 0.897672222950446,      1.03146250928298, 0.802087399746937, 0.855932206484513, 0.855932206484513,      0.543607139892928, 1.03995728027003), PROX_MRT = c(1.14436247830993,      1.14436247830993, 1.13213387762555, 1.13213387762555, 1.13213387762555,      1.14464062157712, 1.23034399571509, 1.08237519657155, 1.09555222562317,      1.27956490520873, 1.31406230168452, 1.02112351286352, 0.936151237003446,      0.936151237003446, 1.02706758196582, 0.8851452059773, 0.883219311345816,      0.883219311345816, 1.04322565796881, 0.842728374229233),          PROX_PARK = c(0.824988291997923, 0.824988291997923, 0.83568858459355,          0.83568858459355, 0.83568858459355, 0.777956069134633,          0.846978318526899, 0.848434833813522, 0.707790886000148,          0.8970097589344, 0.947603217866828, 0.793519520304926,          0.683762717294504, 0.683762717294504, 0.822565203699192,          0.589052524814441, 0.619767633008914, 0.619767633008914,          0.60075194434184, 0.707513815343702), PROX_GOOD_PRISCH = c(6.67335529701902,          6.67335529701902, 6.70919168347838, 6.70919168347838,          6.70919168347838, 6.57394481891556, 6.58539462985877,          6.78038310261662, 6.49806658702102, 6.61604918176311,          6.67823761190993, 6.74044920052795, 6.63421015362065,          6.63421015362065, 6.78043949525415, 6.52939634907869,          6.57618460349959, 6.57618460349959, 6.34176102939636,          6.70927938580052), PROX_MALL = c(0.339403259296736, 0.339403259296736,          0.311149009276151, 0.311149009276151, 0.311149009276151,          0.391567182053879, 0.478634609766659, 0.241735562355662,          0.388975340293238, 0.517477751202279, 0.528820301792356,          0.180580587241737, 0.118546137622893, 0.118546137622893,          0.189710317758296, 0.161178852361569, 0.110811660449771,          0.110811660449771, 0.460595397283409, 0.0870960802892481         ), PROX_CHAS = c(0.16574506375663, 0.16574506375663,          0.215238065300109, 0.215238065300109, 0.215238065300109,          0.0895372628546906, 4.95402698497433e-08, 0.148113838308576,          0.140210421841136, 0.0505118784777886, 0.104680199868824,          0.0922372285822684, 0.110329053122027, 0.110329053122027,          0.0868060808909073, 0.165813590617473, 0.114687044901222,          0.114687044901222, 0.269388612247007, 0.081875317774622         ), PROX_SUPERMARKET = c(0.344658205065017, 0.344658205065017,          0.316789996913415, 0.316789996913415, 0.316789996913415,          0.354688671920554, 0.427887094284235, 0.247969406526707,          0.287679129281494, 0.47836894165083, 0.525839072677995,          0.186806037215644, 0.123371553336512, 0.123371553336512,          0.195853508350489, 0.162291812321236, 0.112847248683738,          0.112847248683738, 0.219989756424723, 0.0873208554119548         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 1L,          1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L, 2L, 2L, 3L,          5L, 7L, 4L, 4L, 2L, 8L, 3L, 3L, 8L, 3L, 3L, 3L, 5L, 6L         ), WITHIN_350M_BUS = c(9L, 9L, 8L, 8L, 8L, 9L, 7L, 7L,          8L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 7L, 7L, 5L, 11L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 4L, 5L, 5L, 5L,          5L, 5L, 5L, 3L, 5L), DNeighbour = c(0, 1.09603642578116,          46.755668003516, 48.2974925881719, 48.8671040525464,          111.750130916155, 164.914912545313, 174.256330638655,          182.629994018014, 190.143871454449, 192.58334019536,          203.106550355197, 221.809722800299, 225.916541185705,          239.263009978933, 262.963283698666, 269.241372973155,          271.734946129775, 340.301303949802, 391.670823653735)), row.names = c("28",      "440", "919", "161", "249", "517", "654", "661", "582", "912",      "653", "869", "538", "741", "427", "124", "408", "594", "698",      "872"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999984338410805,      0.971702336331594, 0.96981979203091, 0.969109330955897, 0.84381589314599,      0.676856328428426, 0.643299424029883, 0.612429673161901,      0.58418548356048, 0.574918999623824, 0.534493978099688, 0.461428670024899,      0.445288454510045, 0.392913738861225, 0.301661823337252,      0.278211097631001, 0.269012114192108, 0.0600779649778438,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1168237343 
R squared (OOB):                  0.233027 

$Forests[[29]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(388000, 377000, 380000,      352000, 378000, 410000, 360000, 380000, 492500, 385000, 650000,      345000, 355000, 465000, 370000, 430000, 350000, 655000, 640000,      440000), floor_area_sqm = c(98, 98, 92, 84, 84, 103, 83,      93, 108, 91, 104, 84, 84, 104, 84, 104, 91, 87, 87, 91),          storey_order = c(2L, 3L, 1L, 2L, 3L, 2L, 3L, 3L, 2L,          1L, 3L, 1L, 3L, 3L, 3L, 2L, 4L, 1L, 4L, 5L), remaining_lease_mths = c(728,          735, 767, 800, 799, 799, 803, 790, 912, 715, 815, 789,          782, 760, 777, 781, 741, 1123, 1121, 669), PROX_CBD = c(8.19895861369783,          8.07728506382532, 8.01258306529517, 8.28689365911172,          8.15960948514705, 8.31972436488376, 8.52567265657093,          7.92065359752155, 8.12312779702036, 8.8262745849674,          7.71625132507906, 7.23308787648785, 7.37752466520609,          8.64488888098128, 7.32999369210923, 7.27303659463988,          8.70456515841861, 9.39818328429371, 9.42381765287156,          6.95185067667089), PROX_ELDERLYCARE = c(1.1658248464307,          1.22552837794249, 1.38923408288603, 1.3668692597991,          1.45090119588013, 1.3912791419992, 1.23693676843424,          1.44631042678071, 1.71708078323557, 0.896855030989675,          1.13999552495818, 0.804640181087392, 1.11141904944431,          0.17844978767297, 1.04617467786566, 0.949520652768775,          0.1203423949077, 0.718190414835305, 0.750155484045513,          0.368543492371998), PROX_HAWKER = c(0.391405491562813,          0.503102516785602, 0.532883444787396, 0.269406334629514,          0.40344417957638, 0.252588085280054, 0.0724679807682574,          0.646393168274836, 0.581802643409563, 0.311054993693233,          0.888477780938884, 0.727393295990439, 1.06790139631185,          0.917919654697093, 1.00458194418859, 0.905159668549179,          0.867862446497739, 0.640059738279374, 0.667492197519696,          0.163396016993116), PROX_MRT = c(0.707144761815547, 0.711885268750489,          0.57194553577364, 0.467794692056616, 0.408889372474398,          0.44379796826936, 0.510058766918036, 0.434970780163821,          0.142211914808532, 0.17731989795878, 0.227897729387739,          0.626719191507479, 0.450606800129455, 0.91698472228942,          0.446590670593176, 0.477339162120678, 0.97670571404933,          0.401734036242065, 0.423547456258288, 0.258776848421036         ), PROX_PARK = c(0.372450573927522, 0.413960848298732,          0.580004121625521, 0.570592214216024, 0.650146210437373,          0.59965919275643, 0.557643312318536, 0.790688256163915,          0.921087542045637, 0.458605630557841, 0.374132090410645,          1.17683143601381, 1.30417314517193, 0.238119977580318,          1.30043300411079, 1.28136359713013, 0.288616932786395,          0.220484561261844, 0.258916726718906, 0.871860056746433         ), PROX_GOOD_PRISCH = c(2.73491137460549, 2.66084492380109,          2.75227504535898, 2.99359805566516, 2.95345383530684,          3.04207330950824, 3.13534109620979, 2.86596411907387,          3.16123688190063, 2.8424495793979, 1.93537396204111,          2.53413597667736, 2.87682745937193, 2.37381492496372,          2.81856751915823, 2.72285479219865, 2.418607930925, 2.27458198186913,          2.24680049319454, 1.99104033276262), PROX_MALL = c(1.94983703099632,          2.0316459728171, 2.11322307221905, 2.09618768409308,          2.20417563031698, 2.10790194839897, 1.96281231550532,          2.02812113432733, 2.25269448786787, 1.64561868645684,          1.9342939090943, 1.33824767405872, 1.52964479685301,          1.00281364182829, 1.4733570331857, 1.40144317349524,          0.948870628363287, 1.45650167595406, 1.48330987402926,          1.10491400246256), PROX_CHAS = c(0.293834776478611, 0.279534674537085,          0.1333322783253, 0.229330661012247, 0.102408834624747,          0.261198443001062, 0.169369143123463, 0.0418426354504526,          0.169904154790832, 0.221229860630612, 0.147762521806201,          0.335243362149438, 0.123680988169118, 0.256340531367836,          0.100781853121145, 0.150676124399865, 0.27140983829104,          0.109789289200213, 0.0719365450960561, 0.197049444171332         ), PROX_SUPERMARKET = c(0.293834967432244, 0.412975566732202,          0.475213328012689, 0.266710264104055, 0.391977689272912,          0.272257424647181, 0.169391527985645, 0.6226371739075,          0.496146947525001, 0.221249484047241, 0.185503456748824,          0.400791637001426, 0.15284622075069, 0.24778575064029,          0.154588063793208, 0.216512452964216, 0.221415122113844,          0.13637298984998, 0.100679215951394, 0.145490551360364         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 1L, 1L, 1L, 1L,          1L, 2L, 2L, 1L, 3L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 2L, 2L, 2L, 3L,          3L, 3L, 1L, 2L, 3L, 2L, 5L, 4L, 4L, 4L, 4L, 6L, 6L, 3L         ), WITHIN_350M_BUS = c(7L, 6L, 6L, 7L, 7L, 9L, 8L, 6L,          8L, 5L, 6L, 4L, 9L, 8L, 8L, 7L, 9L, 6L, 5L, 4L), WITHIN_1KM_PRISCH = c(1L,          2L, 2L, 1L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 3L, 2L, 3L,          3L, 2L, 1L, 1L, 2L), DNeighbour = c(0, 121.213942675328,          238.163812754748, 276.379960280347, 302.088047005392,          318.949659997314, 412.549977178313, 443.498935587027,          585.749055760154, 631.749501317379, 798.559541788051,          1006.43197768344, 1019.30775848571, 1027.52461558592,          1034.86356499034, 1042.11487511794, 1062.21880979697,          1200.82761987564, 1224.2688462264, 1272.21196297108)), row.names = c("29",      "395", "200", "266", "327", "540", "404", "1", "669", "814",      "809", "171", "948", "487", "187", "611", "71", "657", "9",      "492"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.981926574684754,      0.931137134436706, 0.907837749135603, 0.890413054210369,      0.878244682606733, 0.800745729300388, 0.771718038590573,      0.620968322740041, 0.567630559548431, 0.367236621557933,      0.140010169611928, 0.12820985152128, 0.120876342741344, 0.114461210412614,      0.108251451298116, 0.0917348527960009, 0.0118968002490363,      0.00546853619739325, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9699497217 
R squared (OOB):                  0.06400206 

$Forests[[30]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418000, 355000, 310000,      359000, 308000, 375000, 380000, 295000, 365000, 355000, 280000,      327000, 318000, 398000, 313000, 315000, 3e+05, 275000, 358000,      320000), floor_area_sqm = c(104, 104, 84, 103, 84, 104, 108,      83, 103, 104, 84, 84, 84, 104, 84, 104, 85, 84, 91, 93),          storey_order = c(1L, 4L, 2L, 1L, 1L, 1L, 2L, 1L, 4L,          2L, 4L, 1L, 1L, 3L, 4L, 4L, 4L, 1L, 1L, 3L), remaining_lease_mths = c(794,          814, 787, 799, 779, 808, 807, 812, 805, 785, 809, 802,          785, 823, 772, 777, 798, 807, 760, 762), PROX_CBD = c(14.6249352309891,          14.9797222810306, 14.7686155241139, 14.1470244070667,          14.8104288104214, 14.2674761918172, 14.3069689320192,          14.136177090114, 14.5082496767788, 14.7946380504301,          14.5514247745221, 15.395293903354, 15.4237712873611,          14.4215550437188, 15.5029529482698, 15.5029529482698,          14.6468242567931, 15.555826242216, 15.6053010835868,          15.7384939989151), PROX_ELDERLYCARE = c(1.66362706878828,          1.40865121451131, 1.18091019396193, 1.73443513584582,          1.14385816982861, 1.37520258101488, 1.30284795398611,          1.52241617566094, 1.0960579077266, 1.02543356664281,          0.934928905143492, 1.48326161455178, 1.66429806880172,          0.933706769700102, 1.60634233373903, 1.60634233373903,          0.791783477476035, 1.98144426857027, 1.18278326755006,          1.81389464514152), PROX_HAWKER = c(1.46189875323845,          1.17708155532767, 1.07995965555937, 1.71810403079302,          1.03493347869974, 1.3725902814614, 1.30042856091519,          1.5304212921709, 1.06968967826483, 0.927587772885235,          0.920905853639359, 0.763118949388798, 0.663653920640621,          0.964097104531415, 0.592613874358246, 0.592613874358246,          0.771377618176498, 0.587918588004233, 0.745618024005524,          0.367446283592148), PROX_MRT = c(0.177135615746217, 0.541117453484526,          0.495669019430354, 0.316955810938843, 0.547659244513397,          0.392323251912074, 0.431073100471927, 0.407136749273107,          0.541381135472874, 0.635923545376501, 0.702240402731505,          0.486709870425329, 0.641519249244255, 0.766580328668093,          0.579811001445256, 0.579811001445256, 0.834242720427877,          0.961984472446029, 0.180817781363956, 0.817431272071058         ), PROX_PARK = c(0.967683324465338, 0.869949400509587,          0.837021679605882, 0.521638252737905, 0.79060261488636,          0.808406007535371, 0.87843358408359, 0.646645557650639,          0.854937524579578, 0.687013904416796, 0.717751277212032,          0.736647900507106, 0.527546900647844, 0.786856267919922,          0.518465718930498, 0.518465718930498, 0.572284771964545,          0.155244626205508, 0.580682002012541, 0.197322246351151         ), PROX_GOOD_PRISCH = c(5.00900650468442, 5.38873705701154,          5.21242267662931, 4.5417585858835, 5.2589313064801, 4.71060068854172,          4.7599521059868, 4.56541244462189, 4.9821455258424, 5.2635668385575,          5.05486565817651, 5.79164197089728, 5.79932453842233,          4.94298421634201, 5.8805780078001, 5.8805780078001, 5.17213285521296,          5.90755023148013, 6.02648848177283, 6.09593783675615),          PROX_MALL = c(1.02277508016934, 0.857174016474006, 0.644074766251318,          0.958986678954386, 0.641907311269237, 0.598720745421956,          0.530519583310388, 0.730402721918488, 0.395836928017505,          0.540570027720398, 0.264439990658005, 0.561468969675593,          0.726704111983395, 0.158055972255249, 0.667352945771092,          0.667352945771092, 0.253080993480643, 1.05229171505891,          0.252610517585887, 0.906877360376741), PROX_CHAS = c(0.253202817693943,          0.0593781975043205, 0.305551557127515, 0.262672355720334,          0.273160540123658, 0.0989632897848068, 0.141608811196257,          0.0978085819739089, 0.111998728732921, 0.151656769473437,          0.0412741280494288, 0.1019571402223, 0.11942955396425,          0.110909163864147, 0.128101303359069, 0.128101303359069,          0.118994056415591, 0.0651877268759985, 0.0925674017483885,          0.184740133551779), PROX_SUPERMARKET = c(0.177136085505812,          0.101389584423307, 0.397697747354111, 0.246179282205813,          0.406551385550075, 0.13781747249929, 0.179396317901182,          0.152757697669253, 0.321173728185784, 0.505826018716947,          0.259076961683863, 0.0953919744611677, 0.307102160965552,          0.155031856949385, 0.314517101025506, 0.314517101025506,          0.246822057901315, 0.511049564140858, 0.188530812320699,          0.287892528450529), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 1L, 3L, 1L, 3L, 2L, 3L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 3L), WITHIN_350M_CHILDCARE = c(1L, 3L,          3L, 4L, 2L, 7L, 7L, 7L, 4L, 5L, 4L, 2L, 3L, 3L, 2L, 2L,          5L, 6L, 5L, 7L), WITHIN_350M_BUS = c(9L, 10L, 8L, 6L,          7L, 6L, 7L, 7L, 8L, 8L, 7L, 9L, 11L, 10L, 10L, 10L, 9L,          7L, 10L, 10L), WITHIN_1KM_PRISCH = c(2L, 4L, 3L, 2L,          4L, 3L, 3L, 3L, 3L, 3L, 2L, 4L, 4L, 2L, 3L, 3L, 3L, 1L,          4L, 3L), DNeighbour = c(0, 428.913134344194, 484.286921902098,          487.159334589631, 534.675778405662, 551.644288712119,          574.090569982941, 578.74355312932, 628.711124091835,          642.131705024076, 774.60924983051, 784.36976657584, 801.655586000165,          861.616661954151, 876.16730037959, 877.574260129098,          887.009586118701, 1027.26128720932, 1050.38668806789,          1149.8734951844)), row.names = c("30", "984", "101",      "636", "396", "377", "341", "665", "884", "424", "253", "556",      "293", "546", "587", "162", "862", "426", "143", "803"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.741087350294515, 0.676703190861949, 0.673235525705871,      0.614322770791, 0.592663191587268, 0.563603559789215, 0.55752864775446,      0.491467623699291, 0.473548098341367, 0.298333596625281,      0.285894338033633, 0.264150847155562, 0.192306866703119,      0.175899810502906, 0.174337948924194, 0.163981128836028,      0.0407603406391077, 0.0274080925027196, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1139731108 
R squared (OOB):                  0.2665624 

$Forests[[31]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(368000, 375000, 4e+05,      370000, 390000, 342000, 395888, 425000, 3e+05, 332000, 371000,      365000, 345000, 390000, 4e+05, 310000, 338000, 4e+05, 430000,      330000), floor_area_sqm = c(100, 100, 100, 92, 91, 105, 94,      93, 94, 104, 91, 91, 92, 90, 91, 104, 103, 90, 91, 104),          storey_order = c(2L, 5L, 5L, 3L, 2L, 4L, 3L, 3L, 2L,          3L, 2L, 5L, 2L, 2L, 2L, 3L, 4L, 3L, 4L, 3L), remaining_lease_mths = c(937,          935, 923, 922, 956, 822, 1063, 1029, 817, 838, 957, 965,          974, 947, 956, 838, 836, 953, 962, 847), PROX_CBD = c(18.1853912561079,          18.2155576397088, 18.2155576397088, 18.2744201988815,          17.980006840849, 18.4174433264455, 18.1899007658477,          18.2498667293237, 18.4835571341017, 18.3394484051955,          17.630719557776, 17.6174166659189, 17.6174166659189,          17.5579663674298, 17.5146993337396, 18.2872060948971,          18.1853470145009, 17.5759295796121, 17.4594236905894,          18.238428451998), PROX_ELDERLYCARE = c(1.83831888483507,          1.82774218733134, 1.82774218733134, 1.91030467455468,          1.69038013517483, 2.01990466694452, 2.0412967820292,          2.08641833813892, 2.12772209584432, 1.68689945441126,          1.35614304544574, 1.58663462608392, 1.58663462608392,          1.26304449634962, 1.21552371031002, 1.57361264937598,          1.46334015610348, 1.07156662032258, 1.1429422216578,          1.49823830734066), PROX_HAWKER = c(0.267411626133086,          0.218122417644225, 0.218122417644225, 0.292675997882175,          0.32947027962251, 0.365194571711665, 0.56403310040428,          0.574007707230075, 0.47819209562201, 0.322806547864559,          0.550798352023498, 0.699652587196505, 0.699652587196505,          0.610726758846462, 0.65109908849923, 0.464971900021808,          0.490406092071559, 0.622851592932912, 0.704564458032275,          0.548143788898404), PROX_MRT = c(0.186589372260449, 0.24629140143503,          0.24629140143503, 0.25859759791353, 0.131298797620671,          0.394110762668951, 0.225540054498686, 0.270260950193414,          0.440067919828323, 0.722989849955079, 0.481509556817778,          0.430901962912929, 0.430901962912929, 0.415424130147435,          0.367017506823782, 0.870907467758581, 0.888080533877704,          0.449846795062068, 0.304209523777939, 0.950317003394984         ), PROX_PARK = c(0.431621232177097, 0.449638685926872,          0.449638685926872, 0.366705585759005, 0.597192139646456,          0.305293053539538, 0.321396863181507, 0.261745107633199,          0.199823808978303, 0.845903786092674, 0.706852169587072,          0.815337468455046, 0.815337468455046, 0.622915525490857,          0.57589083993138, 0.791043930625847, 0.741201414908801,          0.650211227804106, 0.515475588097358, 0.690805332809177         ), PROX_GOOD_PRISCH = c(7.51998659904145, 7.54917724573578,          7.54917724573578, 7.60907430161507, 7.31481473864251,          7.75189187586876, 7.5338271442293, 7.5938744989762, 7.82005706650481,          7.67457853159282, 6.96345421686322, 6.95710824587607,          6.95710824587607, 6.89020500321914, 6.84682201594428,          7.62743554697163, 7.52724739525134, 6.90999703096039,          6.79149624878531, 7.58243576478886), PROX_MALL = c(0.304347432784639,          0.249434383428027, 0.249434383428027, 0.31638525459609,          0.38257003715367, 0.368677515727611, 0.601163950940652,          0.606938778613173, 0.482762920255867, 0.270650184250749,          0.581015113036356, 0.753687860987251, 0.753687860987251,          0.488271313828636, 0.437698049352173, 0.369641594977131,          0.362005799982455, 0.456006423255308, 0.366883459562171,          0.291730094824992), PROX_CHAS = c(0.186582621643492,          0.246283235408848, 0.246283235408848, 0.258594927218762,          0.131281394661179, 0.279695275413424, 0.225556636612455,          0.270276303087269, 0.297885151722028, 0.186439783883369,          0.481496129777697, 0.430898255483663, 0.430898255483663,          0.40162373925963, 0.354009255575758, 0.000458346083760352,          0.11010335009361, 0.401255348981324, 0.293637386768921,          0.0811018368302058), PROX_SUPERMARKET = c(0.289364184128333,          0.233030240431279, 0.233030240431279, 0.297968471640837,          0.37748716441855, 0.3481604922123, 0.37174850741073,          0.384544806397502, 0.402675729717655, 0.279112228601587,          0.432325009404537, 0.467885028141574, 0.467885028141574,          0.339170507836652, 0.288534867112482, 0.367596841627256,          0.36017462873485, 0.338457664260807, 0.217741105325511,          0.289827711639516), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 4L, 2L, 2L, 2L, 2L, 2L,          6L, 7L, 1L, 2L, 4L), WITHIN_350M_CHILDCARE = c(7L, 7L,          7L, 7L, 5L, 7L, 5L, 6L, 9L, 4L, 6L, 4L, 4L, 6L, 6L, 4L,          4L, 5L, 6L, 3L), WITHIN_350M_BUS = c(16L, 15L, 15L, 17L,          14L, 14L, 13L, 11L, 12L, 11L, 8L, 6L, 6L, 9L, 10L, 9L,          11L, 8L, 8L, 10L), WITHIN_1KM_PRISCH = c(4L, 6L, 6L,          5L, 3L, 5L, 4L, 4L, 5L, 6L, 4L, 3L, 3L, 4L, 4L, 5L, 5L,          4L, 4L, 4L), DNeighbour = c(0, 56.9206403686621, 66.0671515459533,          96.7858448403423, 200.000315439393, 233.08253648438,          303.46408056224, 313.249524691092, 317.918350210056,          558.253312189251, 559.845997675701, 589.413329050429,          592.728756463228, 651.062733284144, 699.656073872755,          716.644643989355, 754.270015645337, 761.987917751574,          765.354680987546, 812.936779007634)), row.names = c("31",      "571", "643", "835", "910", "257", "422", "369", "774", "693",      "547", "220", "14", "545", "93", "414", "857", "357", "937",      "839"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.990218845619863,      0.986834085338879, 0.971851762161617, 0.882609866626558,      0.842344989202436, 0.740721698342387, 0.725086696035472,      0.717512695021404, 0.279234932977541, 0.276394379234414,      0.22497382837742, 0.219383104512668, 0.128590598247648, 0.067224701998995,      0.0496706385711237, 0.0193557400088926, 0.0147421715384797,      0.0129132184560048, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       839040018 
R squared (OOB):                  0.3571995 

$Forests[[32]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(452000, 403000, 470000,      545000, 450000, 465000, 485000, 437000, 435000, 450000, 460000,      455000, 475000, 450000, 465000, 455000, 460000, 473800, 425000,      412000), floor_area_sqm = c(95, 90, 93, 93, 95, 95, 95, 94,      94, 94, 92, 92, 92, 90, 90, 93, 92, 90, 90, 90), storey_order = c(3L,      3L, 5L, 3L, 3L, 4L, 6L, 3L, 2L, 4L, 3L, 5L, 5L, 2L, 5L, 4L,      3L, 6L, 2L, 3L), remaining_lease_mths = c(1121, 1053, 1125,      1134, 1126, 1110, 1113, 1120, 1113, 1123, 1097, 1108, 1098,      1134, 1132, 1096, 1107, 1140, 1139, 1034), PROX_CBD = c(14.2856092918761,      14.2313196249897, 14.2374266118925, 14.4432157047801, 14.1366846915735,      14.3101587663686, 14.2445424628862, 14.0691382395842, 14.0214886887106,      14.0429369190019, 14.2694643570804, 14.2694643570804, 14.3437499696049,      14.6796515041342, 14.6796515041342, 14.3469943525049, 14.2518409016409,      14.4131933766039, 14.4131933766039, 13.9701294998534), PROX_ELDERLYCARE = c(1.29536834443332,      1.23431696680562, 1.2819446304668, 1.44181352445962, 1.17371591683522,      1.29024298571696, 1.24643506877499, 1.08280856328681, 1.04333655871926,      1.1015647640471, 1.14423906696184, 1.14423906696184, 1.14464302293932,      1.45102259724198, 1.45102259724198, 1.07571195137499, 0.985840321219444,      1.43140028556732, 1.43140028556732, 0.798789790509628), PROX_HAWKER = c(1.14967766552968,      1.20453145676494, 1.02089221118434, 1.1926703176924, 1.09084844555913,      0.961388959141492, 0.968852406622053, 1.21079813450924, 1.2014358291776,      1.07710025413616, 0.826638245470088, 0.826638245470088, 0.74882220835846,      0.836784965651702, 0.836784965651702, 0.654543769257927,      0.656651462258042, 1.70733975651849, 1.70733975651849, 0.796241674024292     ), PROX_MRT = c(0.0748886383392391, 0.14509881944895, 0.148741201515391,      0.142722405117506, 0.218319465176875, 0.148967878322013,      0.184117552261459, 0.281224364060027, 0.325652198483679,      0.324573358240557, 0.30438768875815, 0.30438768875815, 0.217663394995295,      0.391052893274669, 0.391052893274669, 0.131478587775223,      0.189142279194464, 0.160895515953214, 0.160895515953214,      0.262922949537813), PROX_PARK = c(0.297003339879563, 0.30799989212087,      0.440474428767772, 0.164631246691225, 0.474063272255088,      0.444639968372477, 0.481320095248247, 0.468913262301943,      0.524931496780237, 0.58019258504408, 0.599699049952129, 0.599699049952129,      0.636899975343007, 0.566439778554251, 0.566439778554251,      0.731552922713316, 0.785709089572823, 0.362779794623634,      0.362779794623634, 0.929619749314005), PROX_GOOD_PRISCH = c(5.27158847877433,      5.24106386657147, 5.16870486361587, 5.44062149940817, 5.09375212835948,      5.21803047984022, 5.1542412945362, 5.07622831499557, 5.02043421457898,      4.9857651679507, 5.12184985907385, 5.12184985907385, 5.1680916684458,      5.51577006817018, 5.51577006817018, 5.13548460888622, 5.03443000866885,      5.6363766911051, 5.6363766911051, 4.76155598853922), PROX_MALL = c(0.136646142991964,      0.200492724858517, 0.22058685557285, 0.0864828813466827,      0.295276560881227, 0.199960318099191, 0.248497232357685,      0.352184781664103, 0.399157770965225, 0.401409437181884,      0.351657486288216, 0.351657486288216, 0.38589862433106, 0.38618207223371,      0.38618207223371, 0.480981762762808, 0.535261743386166, 0.596976127865625,      0.596976127865625, 0.698652085628877), PROX_CHAS = c(0.136646133179357,      0.200492722653611, 0.177995101264401, 0.0864829242311455,      0.0995517477546361, 0.199960275799137, 0.185564313785613,      0.167321001424632, 0.142774662207743, 0.0207330025336023,      0.120456720485379, 0.120456720485379, 0.0401042229543167,      0.367772140885018, 0.367772140885018, 0.0578525184286013,      0.121511881264649, 0.168005379342294, 0.168005379342294,      0.224338502615803), PROX_SUPERMARKET = c(0.146294584623949,      0.210915135620544, 0.177995229543633, 0.0916346746399726,      0.0995512052866983, 0.199173279096103, 0.185564776027004,      0.167319845962294, 0.142773459146917, 0.0207321820187816,      0.244158473149448, 0.244158473149448, 0.165776473264822,      0.0442147517112349, 0.0442147517112349, 0.0704323341151683,      0.121511691834874, 0.168006305985119, 0.168006305985119,      0.281017798180362), WITHIN_350M_KINDERGARTEN = c(0L, 0L,      0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,      1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(6L, 6L, 8L, 4L, 8L,      8L, 9L, 8L, 6L, 6L, 10L, 10L, 8L, 4L, 4L, 7L, 10L, 4L, 4L,      7L), WITHIN_350M_BUS = c(8L, 6L, 6L, 5L, 8L, 6L, 7L, 9L,      9L, 9L, 9L, 9L, 8L, 4L, 4L, 8L, 9L, 6L, 6L, 13L), WITHIN_1KM_PRISCH = c(7L,      6L, 7L, 5L, 7L, 7L, 7L, 7L, 7L, 7L, 6L, 6L, 5L, 4L, 4L, 4L,      6L, 4L, 4L, 8L), DNeighbour = c(0, 76.8686237897966, 146.161264598297,      167.868941231883, 178.389342636429, 179.211848097588, 195.30506246762,      224.833988277636, 269.849023047067, 289.328467553787, 332.819760753786,      335.690396857435, 395.613361972176, 489.863984968976, 494.956160760879,      498.863904367213, 525.80844267372, 586.288749401598, 586.749451209506,      631.300281056061)), row.names = c("32", "283", "537", "240",      "76", "142", "349", "57", "878", "754", "434", "470", "70",      "405", "996", "488", "73", "258", "403", "301"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.970567658902131, 0.895666458816828, 0.863583565590201,      0.846679093282829, 0.845321464630941, 0.81774131292004, 0.762410563376363,      0.667957843408553, 0.62403041472556, 0.521375089387465, 0.514444521534282,      0.368803365316833, 0.158312903201562, 0.148457954924144,      0.141043712631647, 0.0938084859279473, 0.0189105911679961,      0.0185394867400595, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1043206681 
R squared (OOB):                  -0.2039353 

$Forests[[33]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(442500, 418888, 418000,      450000, 382000, 345000, 425000, 430000, 415000, 390000, 418000,      462000, 395000, 443000, 447888, 425000, 459000, 445000, 335000,      318000), floor_area_sqm = c(92, 92, 92, 92, 93, 90, 93, 92,      92, 92, 92, 93, 93, 93, 93, 93, 93, 93, 102, 90), storey_order = c(6L,      3L, 5L, 4L, 1L, 5L, 5L, 5L, 2L, 1L, 3L, 5L, 2L, 5L, 5L, 4L,      4L, 4L, 4L, 3L), remaining_lease_mths = c(1138, 1136, 1142,      1135, 1111, 937, 1134, 1137, 1132, 1132, 1134, 1134, 1138,      1134, 1137, 1134, 1138, 1133, 940, 968), PROX_CBD = c(14.4158973706441,      14.4158973706441, 14.4012043650842, 14.5310939664424, 14.29200158436,      14.2787185061121, 14.3486805845321, 14.2919055230493, 14.6122009832922,      14.6424103631698, 14.318757359464, 14.1475961545785, 14.318757359464,      14.1475961545785, 14.1475961545785, 14.318757359464, 14.1715462602585,      14.1149653809405, 14.4474740114555, 14.1338242827509), PROX_ELDERLYCARE = c(1.86115765343828,      1.86115765343828, 1.94149260139439, 1.79186944623163, 2.00367987562091,      1.77826193055387, 2.08279710659019, 2.08663557441472, 1.68824062303628,      1.72557175775889, 2.13920478430288, 2.03155968851809, 2.13920478430288,      2.03155968851809, 2.03155968851809, 2.13920478430288, 2.09595649451453,      2.12564955085825, 1.50338082315219, 2.28550514148655), PROX_HAWKER = c(0.900970586039013,      0.900970586039013, 0.977925494011815, 0.816792492128141,      1.05572120633707, 0.865181709866835, 1.11865892678262, 1.13160866269818,      0.707122679385598, 0.740384095011384, 1.17625726432186, 1.0452124348096,      1.17625726432186, 1.0452124348096, 1.0452124348096, 1.17625726432186,      1.11030496241672, 1.06810792734919, 0.588144724666333, 1.19906286300234     ), PROX_MRT = c(0.0830542408041225, 0.0830542408041225, 0.117672709296806,      0.197201307651512, 0.129588785375857, 0.14195902454703, 0.228370105834555,      0.215635082050947, 0.295449456212788, 0.312698200175978,      0.277525006355607, 0.206896355650083, 0.277525006355607,      0.206896355650083, 0.206896355650083, 0.277525006355607,      0.236487582928319, 0.282489779359316, 0.224566301285939,      0.414064606154384), PROX_PARK = c(1.70853765465547, 1.70853765465547,      1.73691437359179, 1.79335149216305, 1.659682039687, 1.51686048726609,      1.76668334590621, 1.71136953372848, 1.76906915549279, 1.78460824921244,      1.77227256709076, 1.52292224478236, 1.77227256709076, 1.52292224478236,      1.52292224478236, 1.77227256709076, 1.59201213147604, 1.55223981690243,      1.55939681176166, 1.68789157401301), PROX_GOOD_PRISCH = c(5.62289607338158,      5.62289607338158, 5.65284274036128, 5.7030752613132, 5.57470277830303,      5.42826997650874, 5.67955556528646, 5.62322031775431, 5.7298925008129,      5.77937603269072, 5.68167095374807, 5.43570837857945, 5.68167095374807,      5.43570837857945, 5.43570837857945, 5.68167095374807, 5.50129862889456,      5.45814117537329, 5.45861643017911, 5.57754198399205), PROX_MALL = c(0.475045953779526,      0.475045953779526, 0.544441659044551, 0.466036051693473,      0.462705775504015, 0.338911837083335, 0.571430807201143,      0.517951444315281, 0.426875162675013, 0.482269498416602,      0.582562895872492, 0.329425359540921, 0.582562895872492,      0.329425359540921, 0.329425359540921, 0.582562895872492,      0.405991175981987, 0.377565489031552, 0.12145856762689, 0.547412994688805     ), PROX_CHAS = c(0.0420419616737589, 0.0420419616737589,      0.0706873614354785, 0.162368565956873, 0.0888572682655253,      0.18872293939054, 0.0590253437170886, 3.54155757628082e-08,      0.270793953405505, 0.280031834846542, 0.0707174365033835,      0.188783823394846, 0.0707174365033835, 0.188783823394846,      0.188783823394846, 0.0707174365033835, 0.12657377242065,      0.179884741524278, 0.121458549123021, 0.219091723429967),          PROX_SUPERMARKET = c(0.0420421510628514, 0.0420421510628514,          0.0706874850207218, 0.162368758687164, 0.124391003677116,          0.188722783027928, 0.199153546859355, 0.199383936085002,          0.270794118098451, 0.280032026158491, 0.25307995359875,          0.235757849482592, 0.25307995359875, 0.235757849482592,          0.235757849482592, 0.25307995359875, 0.248308073473709,          0.299769914037237, 0.134916350552101, 0.41091265647621         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 1L, 2L,          1L, 1L, 0L, 0L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 4L, 5L, 6L,          4L, 5L, 5L, 3L, 4L, 6L, 4L, 6L, 6L, 4L, 5L, 6L, 5L, 3L         ), WITHIN_350M_BUS = c(7L, 7L, 6L, 8L, 5L, 8L, 4L, 4L,          6L, 6L, 3L, 6L, 3L, 6L, 6L, 3L, 5L, 5L, 11L, 3L), WITHIN_1KM_PRISCH = c(4L,          4L, 3L, 3L, 4L, 4L, 3L, 3L, 4L, 3L, 3L, 4L, 3L, 4L, 4L,          3L, 4L, 4L, 5L, 3L), DNeighbour = c(0, 2.11458633903791,          77.5268862831492, 124.990216575169, 156.837738611446,          208.562459504592, 217.639816824253, 231.20977461719,          237.510493332074, 245.247589750737, 268.930899899666,          272.200426562165, 275.089129271653, 275.532182105706,          277.061591195751, 278.398905646884, 287.227162504187,          342.231408681867, 377.032880523442, 445.26810821111)), row.names = c("33",      "100", "633", "609", "989", "329", "217", "267", "489", "323",      "58", "207", "840", "966", "623", "205", "277", "519", "826",      "120"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999954894161376,      0.940288467201558, 0.848615242261869, 0.767257778855515,      0.609342294718201, 0.579258662789397, 0.533439440757634,      0.511902609489168, 0.485299504462076, 0.403496754280151,      0.392239484364541, 0.382314978488061, 0.380794873209623,      0.375552120118714, 0.370974086050168, 0.340927887931771,      0.167493557992829, 0.0800926297172568, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1322202899 
R squared (OOB):                  0.2176114 

$Forests[[34]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(460000, 4e+05, 403000,      510000, 430000, 465000, 490000, 460000, 485000, 545000, 535000,      440000, 5e+05, 520000, 532000, 520000, 455000, 589000, 498000,      432000), floor_area_sqm = c(92, 92, 92, 92, 92, 93, 95, 93,      93, 93, 93, 93, 93, 93, 96, 93, 93, 96, 93, 93), storey_order = c(2L,      1L, 1L, 3L, 1L, 5L, 2L, 3L, 2L, 5L, 4L, 2L, 6L, 5L, 4L, 4L,      5L, 6L, 2L, 5L), remaining_lease_mths = c(1137, 1131, 1138,      1136, 1128, 1097, 1111, 1138, 1147, 1127, 1118, 1142, 1137,      1147, 1111, 1118, 1138, 1111, 1102, 1129), PROX_CBD = c(13.9481332653994,      13.9748767742628, 13.9348601041022, 14.0250110126613, 13.983033341901,      13.8110145095205, 13.7780295697528, 13.8880322509317, 13.9293604468603,      13.8964286142315, 13.8964286142315, 13.9713915856932, 13.7068457080251,      13.7003463440691, 13.8842234613226, 13.7912064237251, 13.5153222954464,      13.8838492138892, 13.8269911518463, 13.4495242740615), PROX_ELDERLYCARE = c(0.108372417523696,      0.0869602171534455, 0.122633260073778, 0.0392522324995346,      0.0819455196406728, 0.2424730747692, 0.24280876806526, 0.250782943854859,      0.234065981952779, 0.28821019895416, 0.28821019895416, 0.226595382415433,      0.409751638237597, 0.434917902994305, 0.284905700992106,      0.194902312085005, 0.128038783583345, 0.321249151015697,      0.272443342502121, 0.226392675254826), PROX_HAWKER = c(0.783686601130967,      0.759405218095962, 0.848294615942255, 0.732915378457501,      0.818439961244233, 0.93957565430704, 0.855348356505915, 0.989318285046145,      0.970053791291438, 0.700607063348248, 0.700607063348248,      0.954180271331751, 1.09574216637781, 1.07570104527527, 0.667389882084889,      0.761066408094757, 1.06471945671836, 0.661984274687099, 0.718894335359525,      1.13086059974118), PROX_MRT = c(0.146013494832411, 0.16215489673441,      0.066674836544346, 0.179377644983316, 0.0961191462833423,      0.110074032088272, 0.290902656750774, 0.0905698875540676,      0.101292979723356, 0.214342865325431, 0.214342865325431,      0.128817306959056, 0.23189639897339, 0.256932190523524, 0.172676244118343,      0.263976344610204, 0.531733722241289, 0.202599849124069,      0.250191496834268, 0.537207200764636), PROX_PARK = c(0.964943529987853,      0.93793434477989, 1.01289159319472, 0.898948825756494, 0.973290645087517,      1.12286028608686, 1.08412864631293, 1.13098813526459, 1.10248671215858,      0.945155408432775, 0.945155408432775, 1.07610116952693, 1.30108171005294,      1.30953091682666, 0.946790994443363, 1.03946212768551, 1.12627074536918,      0.953674473627188, 1.00953333913803, 1.14705623529365), PROX_GOOD_PRISCH = c(4.41058426346667,      4.4381077472328, 4.3780728039611, 4.48326906164864, 4.42376284483209,      4.2580170038876, 4.27934963146811, 4.29841605508598, 4.33684280477295,      4.42474408393319, 4.42474408393319, 4.37541592083903, 4.11427377683663,      4.10033714204368, 4.46427355245829, 4.37243865161908, 4.05859518452173,      4.48950135049007, 4.43409233459216, 3.97306691053722), PROX_MALL = c(0.431747484707969,      0.408666125180857, 0.500682206465503, 0.387952579177684,      0.475935346664486, 0.585854127158584, 0.507308338763366,      0.648384322611893, 0.634323955575517, 0.36232957329041, 0.36232957329041,      0.625072347077181, 0.786897805640679, 0.816725098938654,      0.384398044205003, 0.47180896375681, 0.741140095950697, 0.415387276861254,      0.464449368072494, 0.817008429043632), PROX_CHAS = c(0.0812590805558053,      0.0955424375353944, 3.70448785353559e-08, 0.116095717847762,      0.0483941894268844, 0.123846030022364, 0.246000912873009,      0.0495611607390083, 0.0456516508281062, 0.190952462752685,      0.190952462752685, 0.0752462089475253, 0.0683167852462459,      0.0738696133860389, 0.0936868185767241, 3.14247486029477e-08,      0.0484693686848179, 0.130388475133542, 0.093713435160417,      0.142936854782623), PROX_SUPERMARKET = c(0.194128300134642,      0.205979542456043, 0.112910168339451, 0.21237786594893, 0.123899374628808,      0.157551778944521, 0.271122867675942, 0.0495614942866338,      0.04565204632056, 0.190953240917096, 0.190953240917096, 0.0752464841458058,      0.0683172333971998, 0.0738703098972174, 0.093687407280864,      8.52808058992138e-07, 0.321659607097496, 0.130388583033251,      0.0937132175773042, 0.417643104955167), WITHIN_350M_KINDERGARTEN = c(2L,      2L, 2L, 2L, 2L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L,      0L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 4L, 5L, 5L,      4L, 3L, 4L, 3L, 4L, 4L, 4L, 5L, 5L, 5L, 3L, 4L, 4L, 3L, 5L,      3L), WITHIN_350M_BUS = c(7L, 6L, 11L, 9L, 11L, 12L, 9L, 11L,      11L, 9L, 9L, 11L, 14L, 13L, 7L, 8L, 6L, 9L, 8L, 5L), WITHIN_1KM_PRISCH = c(4L,      4L, 4L, 4L, 4L, 4L, 6L, 4L, 4L, 5L, 5L, 4L, 3L, 3L, 5L, 5L,      5L, 5L, 5L, 4L), DNeighbour = c(0, 33.4661156705794, 77.7056842909784,      85.7632300936046, 94.5778237322394, 151.733707290082, 208.924051627172,      230.844661441047, 234.524763740006, 238.030479473662, 240.555396940166,      248.420869022581, 347.619075347932, 382.969780663606, 413.934109160818,      428.708644380979, 481.248349421726, 495.574167110845, 498.843193024172,      513.926769534594)), row.names = c("34", "690", "356", "8",      "710", "645", "282", "662", "21", "442", "760", "361", "863",      "616", "670", "420", "183", "723", "376", "988"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.991537155520335, 0.954799815187342, 0.945078791880258,      0.93341306025612, 0.833260583181386, 0.696786642550106, 0.63718552390132,      0.626875712957374, 0.616982807456452, 0.609816351026581,      0.587285817906466, 0.294290680537649, 0.197759387738533,      0.123394844448658, 0.0925010141876807, 0.0151605920855516,      0.0049204384757679, 0.00334522494041972, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1389583771 
R squared (OOB):                  0.4374029 

$Forests[[35]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 394000, 378000,      4e+05, 380000, 378000, 368888, 395000, 324000, 310000, 333000,      320000, 330000, 345000, 335000, 345000, 320000, 364000, 375000,      373888), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      90, 91, 100, 100, 102, 102, 100, 102, 101, 100, 93, 93),          storey_order = c(2L, 5L, 3L, 4L, 4L, 2L, 4L, 3L, 4L,          4L, 4L, 4L, 1L, 2L, 4L, 4L, 1L, 2L, 5L, 5L), remaining_lease_mths = c(1135,          1142, 1133, 1145, 1135, 1136, 1143, 1132, 929, 927, 928,          930, 911, 927, 930, 926, 924, 921, 993, 990), PROX_CBD = c(18.5586196198757,          18.5586196198757, 18.5541585191533, 18.4659506582063,          18.528449956106, 18.6831604018118, 18.528449956106, 18.4477570786683,          18.3448727328387, 18.6571260927441, 18.2095446148373,          18.242108360018, 18.2320763538069, 18.2868848905217,          17.9186379864086, 18.236688278315, 18.0902268845521,          17.9386403893839, 17.8363687874637, 17.8363687874637),          PROX_ELDERLYCARE = c(1.41981179339616, 1.41981179339616,          1.3934670212363, 1.40960952841152, 1.49671415705568,          1.47678345842271, 1.49671415705568, 1.45029388933935,          1.12000720290482, 1.27166470727688, 1.17430183890643,          1.08331104464233, 0.927534095024191, 0.896456720381782,          1.13507400842797, 0.732088251039709, 0.706169610995159,          0.714833653499633, 1.40920769604983, 1.40920769604983         ), PROX_HAWKER = c(0.915906485722884, 0.915906485722884,          0.899006211509986, 0.861254406292383, 0.947708217710491,          1.01746494726896, 0.947708217710491, 0.879695992543251,          0.636376603494217, 0.924657565926692, 0.579651089601917,          0.548257960059823, 0.493410913505403, 0.547085889030319,          0.435091735724103, 0.537987121264097, 0.370412154176866,          0.201936965562497, 0.692541487012902, 0.692541487012902         ), PROX_MRT = c(0.839968978875504, 0.839968978875504,          0.823747240068891, 0.783375472664302, 0.869531291623609,          0.943619619760125, 0.869531291623609, 0.801027338961469,          0.565211037998289, 0.861078471223358, 0.501132314022455,          0.47401652613315, 0.433316978327494, 0.495991449430539,          0.364011265623101, 0.511061821383635, 0.341202563029131,          0.168914117564514, 0.634260663268818, 0.634260663268818         ), PROX_PARK = c(2.25577949184332, 2.25577949184332,          2.22642888666982, 2.321508063195, 2.37596217173297, 2.2148581526701,          2.37596217173297, 2.38376543636855, 2.08056453235766,          1.95136051888807, 2.25371860749481, 2.12857307310705,          1.96114614265628, 1.86697967968657, 2.31505119222808,          1.7164330470264, 1.8531048262974, 1.99379565561889, 2.04440878541867,          2.04440878541867), PROX_GOOD_PRISCH = c(9.00274768401056,          9.00274768401056, 9.00155567304774, 8.90481615501782,          8.9605147002348, 9.12987022396436, 8.9605147002348, 8.8804818877731,          8.81498363377987, 9.13456945987866, 8.6635222339794,          8.71021480286832, 8.72297519828522, 8.78822500750919,          8.3676789538936, 8.76378557853615, 8.60631027953587,          8.4444135457925, 8.25468587074647, 8.25468587074647),          PROX_MALL = c(0.5054917244252, 0.5054917244252, 0.475387173022169,          0.542775018358786, 0.613385110580272, 0.525391611000181,          0.613385110580272, 0.601716003339109, 0.284195187673565,          0.300602441432182, 0.468966497593582, 0.347669457974494,          0.22704735136933, 0.1450338527091, 0.384238747959315,          0.240339889961931, 0.342860958869265, 0.238372860218233,          0.630636123898788, 0.630636123898788), PROX_CHAS = c(0.101888085354885,          0.101888085354885, 0.0809306171135589, 0.20305264112251,          0.220932244035638, 0.090990597005735, 0.220932244035638,          0.260006933015678, 0.24769320941352, 0.214120710257936,          0.3998394205418, 0.274735402884708, 0.11607611654581,          0.0217240252323136, 0.360842629752134, 0.184864523484869,          0.209799590563819, 0.076984763134016, 0.221589023831152,          0.221589023831152), PROX_SUPERMARKET = c(0.101886801165025,          0.101886801165025, 0.080929224247632, 0.203051245143547,          0.220931072377982, 0.0909910491430168, 0.220931072377982,          0.260005577706646, 0.284194910851331, 0.214121714630789,          0.402574253870019, 0.347668959247477, 0.227046556279957,          0.145032957963293, 0.360842909613722, 0.240339157209448,          0.342860053820009, 0.171190500184261, 0.22158921197453,          0.22158921197453), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 2L, 2L, 1L, 2L,          2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 5L, 3L, 2L, 3L, 5L, 7L, 1L, 6L, 6L,          6L, 3L, 3L), WITHIN_350M_BUS = c(5L, 5L, 8L, 6L, 6L,          5L, 6L, 8L, 8L, 8L, 8L, 7L, 10L, 9L, 11L, 7L, 7L, 8L,          6L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 3L, 3L,          3L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 3L, 6L, 5L, 5L, 3L, 3L         ), DNeighbour = c(0, 3.46418864038374, 24.5105863287897,          110.957227716491, 125.311150125443, 126.352972879801,          126.898658082227, 159.566713568564, 301.324371481969,          308.264682768757, 354.344298198129, 365.154777456656,          495.376870175159, 529.779229237202, 640.818501442026,          703.66026885796, 710.749636912339, 770.497291673059,          779.460703285533, 781.776364467165)), row.names = c("35",      "581", "563", "777", "102", "664", "875", "504", "512", "761",      "243", "608", "443", "787", "590", "227", "74", "638", "118",      "391"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999960729744586,      0.998035016892615, 0.960117743525437, 0.949274182964752,      0.948438425465245, 0.947998059748095, 0.918415507285882,      0.724949167480395, 0.713209230148808, 0.631324978017879,      0.611262964042517, 0.358179201544616, 0.292438448023264,      0.107649233845911, 0.0360461737674895, 0.0300855030772237,      0.000820641032980789, 3.49910998861563e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       350465627 
R squared (OOB):                  0.5650319 

$Forests[[36]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(304000, 316000, 358888,      345000, 335000, 365000, 420000, 360000, 390000, 340000, 415000,      446000, 370000, 342000, 420000, 365000, 4e+05, 365000, 428000,      420000), floor_area_sqm = c(104, 104, 91, 92, 90, 107, 99,      103, 104, 104, 100, 107, 104, 94, 90, 95, 97, 105, 98, 104     ), storey_order = c(2L, 1L, 3L, 2L, 1L, 1L, 3L, 1L, 1L, 1L,      1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 4L), remaining_lease_mths = c(776,      777, 763, 742, 731, 766, 929, 777, 763, 772, 944, 783, 763,      747, 925, 735, 734, 771, 730, 774), PROX_CBD = c(13.8730731524118,      13.8730731524118, 13.6826822978472, 13.8901285505698, 13.8901285505698,      13.578535689825, 13.2222340992065, 13.7231688188033, 13.1145091682395,      13.1145091682395, 13.1525533734461, 13.1163383572019, 13.075732494377,      13.7770670669378, 12.960867808991, 13.3652677077184, 13.4040436118709,      14.8222691165004, 14.0949321583848, 15.0460728336845), PROX_ELDERLYCARE = c(0.192118066579221,      0.192118066579221, 0.000158780971194199, 0.540311266279695,      0.540311266279695, 0.535215785060316, 0.385934705647939,      0.681177733621966, 0.233566729538939, 0.233566729538939,      0.640770029240432, 0.258125844069092, 0.206309775801723,      0.919307603677702, 0.579007844644764, 0.876024529291782,      0.954835536666776, 0.151522520392741, 1.07365166923746, 0.0734543941007858     ), PROX_HAWKER = c(0.635045114374877, 0.635045114374877,      0.699744847940348, 0.213123049695643, 0.213123049695643,      0.775756145922257, 1.08380419022874, 0.601426993813282, 1.24018164124527,      1.24018164124527, 0.959649545299011, 1.23349193679857, 1.2806114078583,      0.478671478091809, 1.16344345150942, 0.775887609068758, 0.780321580506598,      0.189112683951821, 0.516176882783883, 0.321243604465073),          PROX_MRT = c(0.865482366580506, 0.865482366580506, 0.751023886560838,          0.793013171832836, 0.793013171832836, 0.357978123578611,          0.503688459146237, 0.498221170198522, 0.402767024758649,          0.402767024758649, 0.944408516927639, 0.166998983475289,          0.218393806785847, 0.771349314593772, 0.899387073359532,          0.585785046275015, 0.515309591544804, 0.506610369321483,          0.499812381699912, 0.667161579318597), PROX_PARK = c(1.73324375775577,          1.73324375775577, 1.77145949687945, 1.23128896715218,          1.23128896715218, 1.33984402369384, 1.61082819122054,          1.26781451063295, 1.4917670023494, 1.4917670023494, 1.65277848527316,          1.28385310080255, 1.31516124688894, 0.941140572803456,          1.44660566239193, 1.30724345285799, 1.22140134317452,          1.20591145519053, 0.62523741493865, 1.32178658469093),          PROX_GOOD_PRISCH = c(3.76914808697313, 3.76914808697313,          3.58938982364218, 3.56420611596829, 3.56420611596829,          3.55013641033528, 3.2388029474634, 3.673854441535, 3.15473759747012,          3.15473759747012, 2.95137840528657, 3.10133739012884,          3.06740437701091, 3.3146343023011, 2.82458087567675,          2.95461231779958, 2.95770979509606, 4.44405903659268,          3.57828936266804, 4.66454637236311), PROX_MALL = c(0.861712986146148,          0.861712986146148, 0.770100764029299, 1.05377974643614,          1.05377974643614, 0.305514521023982, 0.587950861513872,          0.406890039239853, 0.504156272689578, 0.504156272689578,          0.703422933264244, 0.281310431650798, 0.332903613799786,          0.672803550263317, 0.695129776671669, 0.473263954532778,          0.412160376682232, 1.74752862756084, 0.812049880186,          1.83033637772351), PROX_CHAS = c(0.0967538959757692,          0.0967538959757692, 0.110149755252424, 0.0812638133573676,          0.0812638133573676, 0.282171570268124, 0.151225190585885,          0.176857487498571, 0.11048408202451, 0.11048408202451,          0.1365287941905, 0.155371621529032, 0.122328851042638,          0.0886717393158711, 0.341366062526918, 0.179342279988699,          0.240863562772424, 0.191193294854487, 0.135156069731972,          0.0544168696099871), PROX_SUPERMARKET = c(0.094684564379848,          0.094684564379848, 0.11210687568128, 0.082811926566736,          0.082811926566736, 0.281417393052806, 0.459946280432931,          0.270532795629183, 0.362446168440829, 0.362446168440829,          0.688592108834651, 0.141466460051892, 0.193246634773484,          0.334979160094168, 0.668273194253219, 0.487840963146543,          0.422907964790702, 0.188017328828043, 0.352618767904154,          0.286721618184596), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L,          1L, 1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 4L, 4L, 4L, 5L, 4L, 6L, 6L, 2L, 4L, 4L, 3L, 1L, 6L,          5L, 2L, 1L, 1L), WITHIN_350M_BUS = c(8L, 8L, 9L, 4L,          4L, 10L, 8L, 8L, 7L, 7L, 6L, 9L, 10L, 10L, 2L, 6L, 6L,          6L, 9L, 5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 4L, 4L,          4L, 4L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L,          1L), DNeighbour = c(0, 5.05396255470701, 192.49067455208,          522.921145409774, 524.80202462123, 579.790061403138,          657.697468273586, 673.836633627044, 777.289254525522,          782.785392430429, 821.996188640078, 878.764701148051,          901.994797997526, 950.723367262347, 965.273905371903,          992.141982868681, 1058.10795979487, 1090.47837399439,          1129.86996294247, 1288.56021107736)), row.names = c("36",      "230", "1000", "214", "90", "856", "350", "960", "164", "844",      "496", "105", "929", "337", "831", "238", "757", "64", "25",      "256"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999969233275599,      0.955866646646421, 0.697745492098855, 0.695764111563857,      0.636075355705064, 0.546829040586613, 0.52785488829719, 0.404651097381338,      0.398107787052741, 0.35172039331632, 0.286130115330717, 0.260097062968123,      0.207593306083742, 0.192574884791385, 0.165778462487541,      0.10608315035983, 0.0805514596760889, 0.0534255149302547,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1275717303 
R squared (OOB):                  0.2057961 

$Forests[[37]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418000, 4e+05, 418000,      380000, 390000, 350888, 350000, 398000, 465000, 340000, 735000,      4e+05, 660000, 680000, 380000, 4e+05, 390000, 655000, 663000,      676000), floor_area_sqm = c(91, 92, 92, 92, 92, 93, 91, 92,      104, 92, 97, 98, 87, 87, 93, 104, 92, 87, 87, 87), storey_order = c(5L,      4L, 4L, 4L, 1L, 3L, 4L, 3L, 3L, 1L, 6L, 4L, 3L, 6L, 3L, 2L,      1L, 1L, 4L, 3L), remaining_lease_mths = c(774, 690, 691,      695, 711, 712, 741, 714, 760, 699, 1066, 718, 1066, 1076,      724, 751, 685, 1123, 1124, 1120), PROX_CBD = c(9.35032791665702,      9.59976569988281, 9.61422948612377, 9.61422948612377, 9.71066487891121,      9.68679892421183, 8.70456515841861, 9.95525560808738, 8.64488888098128,      9.97016469840266, 9.96973817000633, 9.5915755681771, 10.1126951054664,      10.1126951054664, 9.50206510185676, 9.83498872427818, 10.3184291669162,      9.39818328429371, 9.49727834386093, 9.49727834386093), PROX_ELDERLYCARE = c(0.227789996497476,      0.239547661796275, 0.28812103687201, 0.28812103687201, 0.385358274245319,      0.35495808488012, 0.1203423949077, 0.150508443509651, 0.17844978767297,      0.14040561650552, 0.560133969723593, 0.558000418748021, 0.511544492658224,      0.511544492658224, 0.619429799229152, 0.611336059876525,      0.724299376510179, 0.718190414835305, 0.735218745429302,      0.735218745429302), PROX_HAWKER = c(0.508896406641727, 0.436761476721694,      0.398658919868918, 0.398658919868918, 0.39402887106119, 0.221606053969191,      0.867862446497739, 0.153089379504462, 0.917919654697093,      0.15909114400288, 0.246219700947935, 0.434568479089541, 0.268370020499938,      0.268370020499938, 0.518318645141504, 0.54583502916026, 0.285348407142059,      0.640059738279374, 0.639074974233661, 0.639074974233661),          PROX_MRT = c(0.569946398217962, 0.619962862184004, 0.667432439829923,          0.667432439829923, 0.746020760246364, 0.760373725070279,          0.97670571404933, 0.521845664201362, 0.91698472228942,          0.494111782173202, 0.405168801785449, 0.656590823238566,          0.549740095282867, 0.549740095282867, 0.533910829474844,          0.722241727367494, 0.752281430413819, 0.401734036242065,          0.499971219475903, 0.499971219475903), PROX_PARK = c(0.726258134328713,          0.957886982704992, 0.922231693079911, 0.922231693079911,          0.914740437498633, 0.664893225436512, 0.288616932786395,          0.730503149795042, 0.238119977580318, 0.68588072489708,          0.868342722448078, 0.355705093322714, 0.878497256111703,          0.878497256111703, 0.26219477257436, 0.296755194228525,          1.05219739289641, 0.220484561261844, 0.298527066745392,          0.298527066745392), PROX_GOOD_PRISCH = c(2.41566392235711,          2.35345437748376, 2.38715383730665, 2.38715383730665,          2.31351362539819, 2.17803171840573, 2.418607930925, 2.01039924795066,          2.37381492496372, 1.97396491196204, 1.55873028154778,          2.11809049366399, 1.46177539101005, 1.46177539101005,          2.18628235132699, 1.88657748145099, 1.54472866778257,          2.27458198186913, 2.17599822879711, 2.17599822879711),          PROX_MALL = c(0.406203001531397, 0.387669919047214, 0.43353114329251,          0.43353114329251, 0.505770857705003, 0.796976758090547,          0.948870628363287, 0.757457219803541, 1.00281364182829,          0.802483711672914, 0.129560175686973, 1.22478662403239,          0.269774803261538, 0.269774803261538, 1.32833110917602,          1.23747152538927, 0.472532088410597, 1.45650167595406,          1.45007786498113, 1.45007786498113), PROX_CHAS = c(0.146235674893272,          0.263208245292117, 0.28666502826278, 0.28666502826278,          0.255589678637005, 0.0707228333244178, 0.27140983829104,          0.144412947448491, 0.256340531367836, 0.187394625423847,          0.0647243745052949, 0.346218272658546, 0.20472250196774,          0.20472250196774, 0.219477506246216, 0.352730820744124,          0.165961529218061, 0.109789289200213, 0.101351467161616,          0.101351467161616), PROX_SUPERMARKET = c(0.347306649978202,          0.44091986097032, 0.396736556610776, 0.396736556610776,          0.363062686357781, 0.128382981112681, 0.221415122113844,          0.204623167766534, 0.24778575064029, 0.215556112381702,          0.241122798862169, 0.300584979098838, 0.35798039621586,          0.35798039621586, 0.191210069763785, 0.324694852199881,          0.447507928623339, 0.13637298984998, 0.0715849245259307,          0.0715849245259307), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 0L, 2L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(5L, 4L,          3L, 3L, 2L, 3L, 4L, 3L, 4L, 3L, 6L, 5L, 6L, 6L, 6L, 1L,          4L, 6L, 6L, 6L), WITHIN_350M_BUS = c(9L, 11L, 11L, 11L,          13L, 10L, 9L, 9L, 8L, 9L, 7L, 5L, 6L, 6L, 2L, 3L, 7L,          6L, 4L, 4L), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 4L, 4L,          4L, 2L, 4L, 2L, 4L, 2L, 2L, 3L, 3L, 1L, 3L, 5L, 1L, 1L,          1L), DNeighbour = c(0, 255.666962431673, 283.09720050315,          288.471189909357, 399.606703282482, 588.451639731837,          655.087821815358, 703.465653450342, 718.777919279124,          735.632061999741, 862.743028487816, 936.979892591287,          988.597528963938, 992.4929817806, 1017.32244047312, 1022.51708577772,          1070.64974949509, 1130.33788927235, 1135.76544234261,          1137.98552425398)), row.names = c("37", "964", "499",      "603", "776", "946", "71", "971", "487", "211", "471", "746",      "506", "316", "539", "659", "97", "657", "466", "593"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.901597853559629, 0.880056470371763, 0.875611924130252,      0.76858846434938, 0.536714779559426, 0.447053436095377, 0.381762047024604,      0.361263852473791, 0.338867909337368, 0.180825786975427,      0.103726858702997, 0.0601795790118234, 0.0572913201786691,      0.0403292882787884, 0.0371098522680453, 0.0131884203293707,      0.000179439191048156, 1.51941650402413e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12655428575 
R squared (OOB):                  0.3376517 

$Forests[[38]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 390000, 390000,      4e+05, 395000, 342000, 375000, 428000, 412000, 390000, 455000,      537000, 518000, 483000, 535000, 495000, 5e+05, 553000, 520000,      425000), floor_area_sqm = c(106, 105, 105, 104, 104, 105,      104, 112, 104, 104, 112, 93, 93, 93, 93, 93, 93, 93, 93,      104), storey_order = c(3L, 3L, 3L, 3L, 2L, 1L, 1L, 1L, 3L,      2L, 1L, 4L, 2L, 2L, 3L, 2L, 3L, 4L, 3L, 3L), remaining_lease_mths = c(919,      921, 911, 903, 905, 904, 919, 892, 891, 906, 896, 1128, 1132,      1129, 1131, 1131, 1131, 1134, 1133, 871), PROX_CBD = c(13.4239402990732,      13.4627621473458, 13.3796709379934, 13.3287778793447, 13.6654936015449,      13.3769343120963, 13.4266027498608, 13.9733994982273, 14.1568072460962,      14.1961571609712, 14.0913802169285, 14.1022978560303, 14.0392008059995,      13.9851487819813, 13.9851487819813, 14.1234549986629, 13.8777465201196,      13.8021184722805, 13.7835124985007, 14.0236082538335), PROX_ELDERLYCARE = c(2.35754914737924,      2.3602438602499, 2.22474645739358, 2.1917657327852, 2.4559089786438,      2.13793612643937, 2.17127601573547, 2.73602573538322, 2.56669577269824,      2.56528175499621, 1.71411655426264, 1.39999761805574, 1.32747908409073,      1.27246652758392, 1.27246652758392, 1.35242241046818, 1.14875617578224,      1.08391670289184, 1.04590518035641, 1.09340394122649), PROX_HAWKER = c(2.04148614266885,      1.98731518790586, 1.93918128958002, 1.97547555130032, 1.8007485076056,      1.83400406292357, 1.79623369603986, 1.72752929984142, 1.398882753411,      1.37564916931309, 0.659732742059419, 0.488105393549706, 0.543253862226502,      0.59565400543288, 0.59565400543288, 0.458626901673037, 0.709523473368326,      0.792084042786722, 0.817574416707151, 0.594999289424802),          PROX_MRT = c(1.80644454579453, 1.75308710953532, 1.69795623670388,          1.73242783606755, 1.57537750219681, 1.58891799000297,          1.55284801629317, 1.52912572857094, 1.21408476422274,          1.19597144129318, 0.410797330392975, 0.255700458734308,          0.327704984287647, 0.390641440388092, 0.390641440388092,          0.250036690549804, 0.526263367583387, 0.615458599020507,          0.648112836468654, 0.469886084443941), PROX_PARK = c(1.00169815399328,          0.956537089868377, 0.863182736105437, 0.88512129863374,          0.850306194456086, 0.736187117229036, 0.713305409065456,          0.916601452818718, 0.574460502508352, 0.541272645896965,          0.524242894978874, 0.52092144022497, 0.547177414231792,          0.580591669210194, 0.580591669210194, 0.469588575534173,          0.548712671125698, 0.476945111703218, 0.438074957540257,          0.504422356794811), PROX_GOOD_PRISCH = c(3.09662994187342,          3.09165556928148, 2.95323290488506, 2.92650083991791,          3.15584859653876, 2.85157742620146, 2.87807351257242,          3.4114102230046, 3.36750863472211, 3.39040053008466,          2.83541955823977, 2.69832814229385, 2.61966269686357,          2.55482099432271, 2.55482099432271, 2.69456588548322,          2.41902859908312, 2.33081910479479, 2.3007469286795,          2.51794344218072), PROX_MALL = c(0.980263777031476, 0.924666219790251,          0.921202261186462, 0.968339604524727, 0.710058429219954,          0.857746498744393, 0.808973697710999, 0.596418817267466,          0.280844166366742, 0.270320025824244, 0.471401908473598,          0.257523814996123, 0.316340524018432, 0.37312896686832,          0.37312896686832, 0.232476208076891, 0.498678106329343,          0.585717052475653, 0.615576551193732, 0.418819234777705         ), PROX_CHAS = c(0.386919516068906, 0.335494764547789,          0.396028378293497, 0.447143544638255, 0.111974276762728,          0.418304503654494, 0.374720545025774, 0.126775582068521,          0.192284580165596, 0.176758267598596, 0.471401941314913,          0.177701329016163, 0.101753514952091, 0.0604900109870272,          0.0604900109870272, 0.147334233235439, 0.133705064347241,          0.221659659627321, 0.253975316505048, 0.151261605672147         ), PROX_SUPERMARKET = c(0.409344743904916, 0.370560193975877,          0.347107460725314, 0.37251565902947, 0.207177695926551,          0.224617478786604, 0.196965153344936, 0.159712105919183,          0.192285941870899, 0.176759883249677, 0.471402360745676,          0.177702101069216, 0.101754383553332, 0.0604908810371704,          0.0604908810371704, 0.147334782275979, 0.133704798830233,          0.221659301316653, 0.253974877653299, 0.151260689076964         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 0L, 0L, 1L, 1L,          1L, 5L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 2L, 1L, 1L, 3L, 1L,          1L, 2L, 3L, 4L, 1L, 4L, 4L, 3L, 3L, 4L, 2L, 2L, 2L, 4L         ), WITHIN_350M_BUS = c(7L, 7L, 8L, 6L, 12L, 5L, 7L, 10L,          9L, 9L, 12L, 11L, 10L, 8L, 8L, 13L, 8L, 5L, 6L, 12L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,          3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L), DNeighbour = c(0,          52.7475256705724, 153.914642235655, 172.574798997645,          282.56953453433, 290.246502625431, 294.830281412168,          555.000665778257, 824.216823723099, 869.395560767381,          1398.47659380494, 1708.32271939092, 1728.42310979378,          1738.52475076015, 1742.17208671973, 1763.65301903614,          1792.05613423208, 1814.92647321986, 1848.66465536019,          1944.11851267549)), row.names = c("38", "155", "222",      "949", "302", "965", "818", "119", "933", "555", "352", "815",      "218", "938", "819", "212", "579", "275", "380", "51"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998528267674971, 0.98750370617911, 0.984302704155203, 0.958195457770232,      0.955919006774193, 0.954532014737508, 0.843647790505576,      0.672831396102763, 0.640029936742716, 0.232858479830389,      0.0519215484664733, 0.0439262660823232, 0.0401280656265755,      0.0387936405201252, 0.0313417567458126, 0.0225947194422918,      0.0165095642711496, 0.00917512633199756, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4393138321 
R squared (OOB):                  -0.07191271 

$Forests[[39]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(750000, 755000, 685000,      840000, 825000, 820000, 552000, 620000, 408000, 805000, 472000,      530000, 688000, 810000, 745000, 580000, 4e+05, 438888, 795888,      660000), floor_area_sqm = c(90, 90, 85, 87, 87, 87, 100,      102, 84, 104, 84, 111, 85, 90, 90, 100, 92, 80, 95, 90),          storey_order = c(11L, 5L, 4L, 14L, 5L, 9L, 1L, 3L, 6L,          3L, 2L, 1L, 4L, 10L, 7L, 4L, 1L, 4L, 7L, 10L), remaining_lease_mths = c(1035,          1038, 1038, 1141, 1136, 1136, 910, 908, 647, 919, 799,          767, 964, 1045, 1057, 1013, 555, 601, 1140, 993), PROX_CBD = c(4.88070069409732,          4.88070069409732, 4.89531124268982, 4.70219035054856,          4.59114385332588, 4.59114385332588, 4.64904487497998,          4.95292174150019, 5.38657645344473, 4.1456930527125,          4.27761841825855, 4.3501519248406, 3.98134497452694,          5.99670752478149, 6.0390103189171, 4.79843685927635,          5.99479776583207, 3.37234644442932, 6.26284978479934,          5.00856672458725), PROX_ELDERLYCARE = c(0.312658206579851,          0.312658206579851, 0.307888742732217, 0.200702517977741,          0.125633226962327, 0.125633226962327, 0.374326446996408,          0.0718437191527097, 0.465891927060243, 0.45180890917037,          0.0937624362906392, 0.203630745919553, 0.168717999980802,          0.788986586736525, 0.798119493593788, 0.72206466606869,          0.420516157550055, 0.401810150563083, 0.69800247969724,          0.403456137693205), PROX_HAWKER = c(0.595417483526792,          0.595417483526792, 0.546104933523636, 0.646528219825606,          0.762382071136897, 0.762382071136897, 0.28049665267082,          0.126776661941161, 0.351855498276287, 0.668394095052703,          0.566432501893156, 0.509657348502929, 0.262344394473714,          0.199496524550099, 0.151348144296069, 0.669525197575465,          0.295460487376037, 0.449139985411189, 0.130331819855385,          0.327438715714418), PROX_MRT = c(0.314337158810329, 0.314337158810329,          0.275254866694397, 0.491479629856663, 0.586728793826683,          0.586728793826683, 0.763812758173444, 0.804865461788644,          0.675587286197546, 0.413017272318271, 0.40356540460373,          0.533693046359433, 0.310254962870727, 0.226103982865864,          0.225262429159589, 1.13446368103879, 0.305306521480229,          0.537190991659238, 0.132116935816272, 0.699181106494864         ), PROX_PARK = c(1.53366372097489, 1.53366372097489,          1.60860995669454, 1.77379186206272, 1.65596921250538,          1.65596921250538, 1.08394438059851, 0.908868407872405,          1.05249384295472, 1.16828897329218, 1.11098670131371,          0.941534540217125, 0.894232249415992, 0.97332058707081,          0.921128796109604, 0.279857584881724, 0.990750186553446,          0.408351250353425, 0.742212481577902, 0.344858191728297         ), PROX_GOOD_PRISCH = c(3.0451226436528, 3.0451226436528,          2.96671225712824, 2.79995758206102, 2.86977258716747,          2.86977258716747, 3.57098970158234, 3.66355651606602,          3.52335384407219, 3.20846684942761, 3.63213704613537,          3.77462248476967, 3.868083844602, 2.41026804261554, 2.45094763896652,          4.40925832010736, 2.01228232098645, 3.70512913004722,          2.39901634170637, 4.86324650242379), PROX_MALL = c(0.63262312230698,          0.63262312230698, 0.696065710972082, 0.970860317849455,          0.992224857230604, 0.992224857230604, 0.528365937160055,          0.209686974260184, 0.184401966361696, 1.18405339004253,          0.890632544268956, 0.812522711759855, 1.18273225000282,          1.14826594162738, 1.15586968043917, 0.830412122132217,          0.848644658978131, 0.743612757274357, 0.965908348364742,          1.20968740927381), PROX_CHAS = c(0.278004299073392, 0.278004299073392,          0.22404402777184, 0.0639130956899198, 0.156405874770629,          0.156405874770629, 0.251376462502101, 0.176171654931402,          0.131272369045618, 0.401816380076581, 0.116543108560641,          0.237239443458304, 0.145112311632742, 0.157172829578474,          0.103484302768675, 0.120011087306801, 0.262677718190406,          0.499618186459994, 0.0879111496245458, 0.358299181925541         ), PROX_SUPERMARKET = c(0.278004958714438, 0.278004958714438,          0.224044642536509, 0.0639125072278545, 0.156405662038775,          0.156405662038775, 0.311533400888457, 0.176171398022836,          0.182486832055582, 0.431453687618191, 0.205058734443685,          0.125937465506006, 0.252387257990654, 0.212384620357781,          0.198926203527595, 0.0907294343182455, 0.3581952061826,          0.499617451823641, 0.0879117778441782, 0.395196557309087         ), WITHIN_350M_KINDERGARTEN = c(5L, 5L, 5L, 2L, 0L, 0L,          0L, 2L, 1L, 1L, 0L, 0L, 1L, 3L, 3L, 0L, 1L, 0L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 4L, 4L, 3L, 3L,          2L, 1L, 1L, 1L, 5L, 5L, 3L, 3L, 3L, 2L, 1L, 2L, 3L, 1L         ), WITHIN_350M_BUS = c(8L, 8L, 9L, 7L, 7L, 7L, 12L, 7L,          8L, 7L, 14L, 13L, 12L, 10L, 9L, 6L, 8L, 8L, 5L, 7L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,          1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L), DNeighbour = c(0,          2.42110338226914, 75.2966077408247, 337.043449578528,          378.056144985235, 380.931327732803, 549.142576138367,          633.012869678692, 700.106848491661, 732.155711374761,          771.744045767606, 851.662939970377, 1113.37178306668,          1281.02321131942, 1304.7559793342, 1366.70648814172,          1492.77994644524, 1514.95427800841, 1554.08770111239,          1813.84835474021)), row.names = c("39", "982", "916",      "854", "333", "768", "140", "216", "130", "320", "709", "348",      "375", "379", "832", "610", "413", "69", "562", "515"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999996436684091, 0.996556464966766, 0.932136427137702,      0.915003046424989, 0.913734551367464, 0.825085991804461,      0.771247140604525, 0.724235781228934, 0.700683734937997,      0.670715907791569, 0.607679647806583, 0.388413302578667,      0.251218015909485, 0.232868014359651, 0.186849760886896,      0.104126676150461, 0.0914548639555687, 0.0707083185519935,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9367244671 
R squared (OOB):                  0.5810877 

$Forests[[40]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(363000, 380000, 295000,      320000, 5e+05, 5e+05, 360000, 4e+05, 4e+05, 688000, 365000,      468888, 535000, 480000, 342000, 420000, 415000, 742000, 653000,      478000), floor_area_sqm = c(97, 90, 99, 99, 91, 91, 92, 92,      97, 90, 95, 92, 92, 92, 94, 90, 100, 92, 91, 92), storey_order = c(4L,      7L, 1L, 2L, 1L, 2L, 2L, 3L, 1L, 6L, 1L, 3L, 3L, 3L, 1L, 2L,      1L, 7L, 2L, 4L), remaining_lease_mths = c(701, 985, 730,      736, 690, 706, 719, 708, 734, 985, 735, 701, 694, 692, 747,      925, 944, 1104, 1121, 716), PROX_CBD = c(12.1013944735855,      13.0015179461712, 13.0062996581569, 13.0062996581569, 10.2183960492338,      10.2657373615824, 10.2629321739313, 10.1748545259067, 13.4040436118709,      9.84174458192399, 13.3652677077184, 9.79963982832759, 9.76973796844692,      9.76973796844692, 13.7770670669378, 12.960867808991, 13.1525533734461,      9.57467117229508, 9.51816518584724, 9.58813304663833), PROX_ELDERLYCARE = c(2.41403538414825,      2.41293236098656, 2.38777651439997, 2.38777651439997, 0.670964346371623,      0.519949541574078, 1.00265829049513, 0.889757070081441, 0.954835536666776,      0.339166460968835, 0.876024529291782, 0.390845215421192,      0.487200680071974, 0.487200680071974, 0.919307603677702,      0.579007844644764, 0.640770029240432, 0.0836678964153836,      0.0590206014568566, 0.251441869005946), PROX_HAWKER = c(0.561617227785994,      0.351298271738361, 0.353572407863602, 0.353572407863602,      0.161327078165055, 0.527790221924738, 0.370496257898541,      0.304343114187016, 0.780321580506598, 0.272020065995023,      0.775887609068758, 0.315572935590663, 0.323134910569429,      0.323134910569429, 0.478671478091809, 1.16344345150942, 0.959649545299011,      0.628838904549623, 0.5145461029689, 0.391674386653945), PROX_MRT = c(1.71497473755306,      1.33144343213696, 1.27898935828478, 1.27898935828478, 0.352113639571012,      0.351828842975553, 1.21137251272603, 1.12559589355515, 0.515309591544804,      0.348847208140378, 0.585785046275015, 0.308409661615337,      0.307725216106606, 0.307725216106606, 0.771349314593772,      0.899387073359532, 0.944408516927639, 0.731513991246432,      0.689820066215858, 0.707146681079003), PROX_PARK = c(0.181629272169071,      1.07883678308045, 1.09068530070835, 1.09068530070835, 0.412720152963846,      0.752867192571236, 0.429817985649402, 0.326884491561474,      1.22140134317452, 0.429024269124863, 1.30724345285799, 0.556935587195362,      0.692980820038259, 0.692980820038259, 0.941140572803456,      1.44660566239193, 1.65277848527316, 0.402026431996325, 0.506309566114581,      0.630094576064042), PROX_GOOD_PRISCH = c(1.52909264222103,      2.38441646582032, 2.37986575446387, 2.37986575446387, 0.778258345851083,      0.402201611323318, 1.58756538029025, 1.53712936271762, 2.95770979509606,      0.999365026226873, 2.95461231779958, 0.97109568154285, 0.945616550360875,      0.945616550360875, 3.3146343023011, 2.82458087567675, 2.95137840528657,      1.37880970746963, 1.35033962190844, 1.10432321767326), PROX_MALL = c(1.69674818443598,      1.32151107168067, 1.26979124568258, 1.26979124568258, 0.1993183735571,      0.347570072991699, 0.573348708551386, 0.493589384976364,      0.412160376682232, 0.188176716989659, 0.473263954532778,      0.277854565241424, 0.3113714109904, 0.3113714109904, 0.672803550263317,      0.695129776671669, 0.703422933264244, 0.493679276753517,      0.508727078362918, 0.759347764163403), PROX_CHAS = c(0.26797195188846,      0.185431787540406, 0.178755496827681, 0.178755496827681,      0.176868193181362, 0.329846033180528, 0.166187985395119,      0.118978706369709, 0.240863562772424, 0.139131199666608,      0.179342279988699, 0.213793078898363, 0.164045702260751,      0.164045702260751, 0.0886717393158711, 0.341366062526918,      0.1365287941905, 0.0836673580931749, 0.0590210156667789,      0.395290416984683), PROX_SUPERMARKET = c(0.570395350553557,      0.185431698278212, 0.178755398427066, 0.178755398427066,      0.245740902557878, 0.353445486406562, 0.394772134126693,      0.371852561025965, 0.422907964790702, 0.139131268426574,      0.487840963146543, 0.217115292225756, 0.329801606095394,      0.329801606095394, 0.334979160094168, 0.668273194253219,      0.688592108834651, 0.0769150331708007, 0.0642147642973091,      0.20799335196523), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L,      1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L,      0L, 0L), WITHIN_350M_CHILDCARE = c(1L, 4L, 4L, 4L, 6L, 4L,      1L, 3L, 5L, 4L, 6L, 4L, 3L, 3L, 3L, 1L, 2L, 2L, 1L, 2L),          WITHIN_350M_BUS = c(10L, 10L, 7L, 7L, 6L, 10L, 7L, 8L,          6L, 9L, 6L, 11L, 11L, 11L, 10L, 2L, 6L, 7L, 7L, 7L),          WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 0L, 4L, 3L, 0L, 0L,          2L, 3L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L), DNeighbour = c(0,          905.254161258393, 912.154594513836, 916.591973396234,          1887.94638075017, 1909.94626271985, 2147.48005467002,          2183.63614386405, 2217.52138601201, 2263.78894994806,          2264.58540095767, 2299.04047828922, 2334.96224911638,          2342.00695833363, 2484.56737628161, 2496.71181430672,          2516.65208752854, 2560.31307010579, 2592.38412068342,          2623.18794136535)), row.names = c("40", "45", "445",      "412", "584", "649", "244", "245", "757", "268", "238", "943",      "68", "926", "337", "831", "496", "551", "983", "640"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.775999070430232, 0.772791462572399, 0.770719456733542,      0.232334650153011, 0.220776554413193, 0.108773088969713,      0.0942798643569267, 0.0814401922026724, 0.0651503345078464,      0.0648830432437396, 0.0537639479728602, 0.0431307598304127,      0.041164880793168, 0.010587608405703, 0.00885568995525632,      0.00633247024061257, 0.00224327731147052, 0.00054512417797297,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10127207228 
R squared (OOB):                  0.3232873 

$Forests[[41]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 441000, 380000,      360000, 358000, 415000, 456500, 418000, 415000, 460000, 420000,      436000, 440000, 435000, 420000, 440000, 395000, 425000, 440000,      420000), floor_area_sqm = c(94, 93, 94, 94, 93, 94, 92, 92,      92, 92, 92, 92, 92, 92, 92, 92, 94, 94, 96, 94), storey_order = c(1L,      6L, 1L, 1L, 1L, 6L, 8L, 6L, 8L, 7L, 6L, 7L, 8L, 2L, 5L, 5L,      4L, 6L, 7L, 7L), remaining_lease_mths = c(1095, 1097, 1107,      1096, 1103, 1120, 1144, 1129, 1140, 1125, 1142, 1139, 1142,      1128, 1132, 1124, 1113, 1119, 1108, 1120), PROX_CBD = c(11.7965908296893,      11.8078122246038, 11.6781560559471, 11.6781560559471, 11.8075546541859,      11.7484946081343, 11.9527102757424, 12.02897658153, 12.02897658153,      12.02897658153, 12.02897658153, 12.042332185553, 12.042332185553,      12.042332185553, 12.042332185553, 12.0234479092478, 11.9744040829633,      11.9828723130509, 11.6053344020152, 12.0119641769274), PROX_ELDERLYCARE = c(1.00802268588986,      0.95260617550949, 1.09658820367145, 1.09658820367145, 0.922118515238085,      1.16050252277995, 0.819362766143575, 0.841755023464642, 0.841755023464642,      0.841755023464642, 0.841755023464642, 0.786890441142101,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.938035651111226, 0.738781707341689, 0.710325725805382,      1.04503450829128, 0.673044116243487), PROX_HAWKER = c(0.337854809554552,      0.262687630178652, 0.34952328079698, 0.34952328079698, 0.209140712961875,      0.512143004921159, 0.27814297307049, 0.409616357379742, 0.409616357379742,      0.409616357379742, 0.409616357379742, 0.369655971945997,      0.369655971945997, 0.369655971945997, 0.369655971945997,      0.507473565259923, 0.217370340361849, 0.20448046373977, 0.210992660312359,      0.222580914455278), PROX_MRT = c(0.249549573241666, 0.173777829752023,      0.274140861026222, 0.274140861026222, 0.120215557602138,      0.425815084561206, 0.200702114351669, 0.331072457322778,      0.331072457322778, 0.331072457322778, 0.331072457322778,      0.298263347673859, 0.298263347673859, 0.298263347673859,      0.298263347673859, 0.394231498000209, 0.167322140356011,      0.170867756883987, 0.206803096961617, 0.201095784108649),          PROX_PARK = c(0.739061594864021, 0.746013140888617, 0.620391651843957,          0.620391651843957, 0.747098338531098, 0.660489483199184,          0.643017670933737, 0.529446955515876, 0.529446955515876,          0.529446955515876, 0.529446955515876, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.542226246468638,          0.506408767470305, 0.679906922269617, 0.697136724289492,          0.554363925008431, 0.691047645736797), PROX_GOOD_PRISCH = c(2.14271827973834,          2.13533890725473, 2.02616945457316, 2.02616945457316,          2.12338877581429, 2.14657014261275, 2.270018309959, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36775586018775,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.36724315061599, 2.39172047379238, 2.27223739349538,          2.27447890050516, 1.90056431650247, 2.29976812492723),          PROX_MALL = c(0.241737870027575, 0.17025857997445, 0.244599870232268,          0.244599870232268, 0.119447773727589, 0.411213390710639,          0.232344363503357, 0.358721564938295, 0.358721564938295,          0.358721564938295, 0.358721564938295, 0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.441394824612777, 0.214069216816763, 0.220402811054307,          0.158081786709397, 0.251262654177611), PROX_CHAS = c(0.101692541492014,          0.170258520163124, 0.163903281406512, 0.163903281406512,          0.11944771257822, 0.0876622280470988, 0.146038815472653,          0.25157977989641, 0.25157977989641, 0.25157977989641,          0.25157977989641, 0.236223262451169, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.223839041128234,          0.0939357367291076, 0.0995919009989899, 0.158081821824728,          0.131248018016709), PROX_SUPERMARKET = c(0.17897337633635,          0.168966076328732, 0.19333058996533, 0.19333058996533,          0.119571834445138, 1.21715176356525e-07, 0.237998550380205,          0.314501000490003, 0.314501000490003, 0.314501000490003,          0.314501000490003, 0.33849828517841, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.244018176385425,          0.22318738818849, 0.230351837454113, 0.148884454693003,          0.261515416493987), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 4L,          2L, 2L, 4L, 2L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L,          7L, 6L, 4L, 6L), WITHIN_350M_BUS = c(9L, 11L, 9L, 9L,          10L, 11L, 12L, 11L, 11L, 11L, 11L, 10L, 10L, 10L, 10L,          10L, 10L, 7L, 8L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L,          3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L), DNeighbour = c(0, 71.1808023481712,          118.975389739849, 120.294034891817, 131.062225848499,          184.403689239953, 184.499626690943, 224.716076384987,          228.219014350294, 228.780078216917, 230.706057232472,          245.937583864471, 247.131365644147, 248.770119580958,          252.012033393935, 252.688237885645, 273.414305079815,          304.719981527027, 324.481076330926, 337.798579698123)), row.names = c("41",      "439", "644", "954", "724", "441", "749", "700", "287", "874",      "318", "573", "16", "908", "634", "502", "858", "203", "158",      "167"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.913166055058373,      0.767287469122732, 0.762451065165791, 0.721589635895319,      0.492796959194547, 0.492361594558303, 0.310761518979034,      0.295452542759884, 0.293014803507109, 0.284678744581461,      0.220833126162787, 0.216011551784673, 0.209442211520419,      0.196622066781655, 0.193978593356402, 0.118936002932456,      0.0346923941882443, 0.00597443970864743, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       816193532 
R squared (OOB):                  0.1210911 

$Forests[[42]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(435000, 417000, 440000,      410000, 380000, 412000, 575000, 585000, 565000, 540000, 420000,      435000, 615000, 658000, 390000, 438000, 447000, 376888, 430000,      360000), floor_area_sqm = c(99, 99, 100, 100, 104, 103, 93,      93, 93, 93, 104, 100, 84, 84, 104, 104, 107, 104, 104, 84     ), storey_order = c(2L, 3L, 3L, 3L, 1L, 4L, 5L, 4L, 6L, 4L,      2L, 4L, 2L, 3L, 1L, 2L, 3L, 3L, 2L, 2L), remaining_lease_mths = c(928,      914, 911, 915, 924, 918, 1133, 1142, 1127, 1142, 922, 924,      1122, 1120, 809, 812, 782, 810, 819, 762), PROX_CBD = c(12.2106818490232,      12.2815153207229, 12.2087069526051, 12.2087069526051, 12.0301392517655,      11.9871965659798, 12.4342034244884, 12.454441113408, 12.4937468159193,      12.5378737745647, 11.8892341343185, 12.114386347938, 12.3801819754074,      12.4891302242583, 11.7882471009294, 11.7215458353159, 11.7840832214562,      11.622690560426, 11.547248638023, 11.4815172953657), PROX_ELDERLYCARE = c(0.442541563379791,      0.513657423159811, 0.434858408662556, 0.434858408662556,      0.255083942589415, 0.210296865683283, 0.678867196986192,      0.717258387107597, 0.714783075399861, 0.76025522927712, 0.110349805405523,      0.421163091926404, 0.738453704244922, 0.707031754326944,      0.114277277444971, 0.240093333498969, 0.481333190444255,      0.175524774720266, 0.246353759583753, 0.182032582488253),          PROX_HAWKER = c(0.524204307723605, 0.52278816815954,          0.692592935098248, 0.692592935098248, 0.598391326300702,          0.625285574708341, 0.504612881494125, 0.459376407452819,          0.680821394190482, 0.672948721825079, 0.684056106771311,          0.885134801830427, 0.261296216065877, 0.384467206049481,          0.647051853283446, 0.609281739536534, 0.436117874461739,          0.783966268147895, 0.837769476188058, 0.728271246274353         ), PROX_MRT = c(0.743103019894999, 0.703998835661039,          0.89623888155871, 0.89623888155871, 0.885297742933312,          0.923336133969517, 0.586933783104383, 0.518913352820399,          0.743366527772832, 0.707305973375369, 1.00424261648768,          1.10882075300419, 0.367154517888221, 0.38468199977318,          1.00317447086964, 0.989064774064853, 0.81394482428473,          1.15515804744233, 1.16228231940478, 0.756359380624344         ), PROX_PARK = c(0.863487882808023, 0.796788171077343,          0.954913184146477, 0.954913184146477, 1.04875150887626,          1.09395352284574, 0.628391467794767, 0.580711209690395,          0.683130710636032, 0.628331945846246, 1.19263079577799,          1.14970360230785, 0.605799570777928, 0.50651752093578,          1.24877122811849, 1.28416187507733, 1.20101103678102,          1.41684131410086, 1.4881280763212, 1.50398184725757),          PROX_GOOD_PRISCH = c(0.91368762909787, 0.952579960345566,          1.04944877580977, 1.04944877580977, 0.860616187528585,          0.855677549512306, 1.01367306567257, 0.990054087408291,          1.16886515239787, 1.17951788917503, 0.842915880539328,          1.17061030478036, 0.823417580851307, 0.94986022590219,          0.713901761199557, 0.585140695782779, 0.357669915539773,          0.733057242670121, 0.735233663606362, 0.365254403810308         ), PROX_MALL = c(0.634332011832188, 0.630705874818675,          0.802829369116586, 0.802829369116586, 0.707201836140707,          0.732793638615111, 0.600548053404267, 0.549832225559512,          0.778202426893423, 0.766094086501437, 0.787722851944232,          0.995792127022496, 0.344173235497563, 0.458049841664737,          0.741052769880115, 0.690287469384684, 0.489619370966043,          0.868993594299523, 0.918014501744059, 0.763531318053358         ), PROX_CHAS = c(0.140964983635816, 0.0753088652692227,          0.0852358826892552, 0.0852358826892552, 0.202915262499126,          0.171681037809818, 0.134041173915956, 0.134313038880304,          0.147744885974614, 0.187116592266412, 0.124859952031804,          0.138740180982893, 0.126495411341712, 3.00974727266337e-08,          0.0554870656895364, 0.164718468919614, 0.0667093090499658,          0.151742844958785, 0.157099147473317, 0.0516610437101642         ), PROX_SUPERMARKET = c(0.377835654599335, 0.448534184110051,          0.414959148864982, 0.414959148864982, 0.20670525505664,          0.172282484091702, 0.543693418915242, 0.499432454100223,          0.667447252804164, 0.707597649659388, 0.114394571204967,          0.459680111992834, 0.30203349112312, 0.425107542879533,          0.0453848138423891, 0.169255457402684, 0.379080894647373,          0.151741730066283, 0.157098334004615, 0.19171128272723         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 2L, 2L, 2L,          2L, 2L, 0L, 0L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 6L, 5L, 5L, 5L, 5L,          4L, 4L, 4L, 5L, 8L, 1L, 3L, 2L, 8L, 6L, 3L, 7L, 7L, 5L         ), WITHIN_350M_BUS = c(11L, 12L, 11L, 11L, 7L, 6L, 12L,          11L, 11L, 11L, 9L, 8L, 8L, 10L, 9L, 10L, 7L, 8L, 11L,          14L), WITHIN_1KM_PRISCH = c(2L, 2L, 1L, 1L, 2L, 2L, 1L,          3L, 1L, 1L, 2L, 1L, 4L, 5L, 3L, 3L, 4L, 2L, 2L, 3L),          DNeighbour = c(0, 76.9485156395243, 168.482642979659,          169.087257819422, 181.974214627381, 235.19036974526,          244.118612910774, 280.698064372359, 299.536100817028,          328.498254492148, 335.139315964009, 364.526719281052,          377.897599238618, 389.408952081295, 418.460218098459,          505.922354539335, 582.557732654098, 584.889623891223,          659.275708493004, 836.467333662203)), row.names = c("42",      "362", "410", "680", "727", "689", "310", "641", "24", "343",      "148", "707", "315", "505", "508", "625", "340", "750", "598",      "213"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98314646548484,      0.920504606469833, 0.919944950036846, 0.907583195277971,      0.848135751331278, 0.836907768083114, 0.787459214246341,      0.759977408304743, 0.715327311356035, 0.704712002304943,      0.656236647581617, 0.633451356056989, 0.613515910355014,      0.562093698959873, 0.402181790553807, 0.26518102155364, 0.261188888306042,      0.143484313589384, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1208731980 
R squared (OOB):                  0.8451775 

$Forests[[43]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 380000, 3e+05,      388800, 333000, 335000, 390000, 562000, 540000, 420000, 462000,      680000, 660000, 380000, 735000, 347000, 320000, 325000, 370000,      398000), floor_area_sqm = c(92, 92, 92, 98, 89, 83, 92, 107,      107, 92, 105, 87, 87, 92, 97, 90, 90, 82, 84, 92), storey_order = c(4L,      4L, 2L, 2L, 1L, 3L, 1L, 7L, 6L, 5L, 1L, 6L, 3L, 2L, 6L, 5L,      2L, 4L, 3L, 3L), remaining_lease_mths = c(688, 693, 691,      697, 692, 687, 685, 957, 969, 694, 965, 1076, 1066, 687,      1066, 672, 672, 666, 673, 714), PROX_CBD = c(10.7428660694501,      10.7273754880637, 10.7273754880637, 10.7178846249378, 10.7178846249378,      10.5501175985891, 10.3184291669162, 10.9472701195372, 11.0486323727393,      10.5902646894981, 10.9320040827019, 10.1126951054664, 10.1126951054664,      10.571248724537, 9.96973817000633, 10.5036676165143, 10.5036676165143,      10.0782341562763, 10.6549850760698, 9.95525560808738), PROX_ELDERLYCARE = c(1.00386291289403,      0.968089576161562, 0.968089576161562, 0.903749132751209,      0.903749132751209, 0.724362239545807, 0.724299376510179,      0.867518349265545, 0.974567200018427, 0.476382036969741,      0.83761180429981, 0.511544492658224, 0.511544492658224, 0.426373779355343,      0.560133969723593, 0.346712236264009, 0.346712236264009,      0.248412112584261, 0.531453703929196, 0.150508443509651),          PROX_HAWKER = c(0.19921426515349, 0.259491073356982,          0.259491073356982, 0.131164348467149, 0.131164348467149,          0.496328097640832, 0.285348407142059, 0.429153921265228,          0.436692566666558, 0.142004884371921, 0.499252912381913,          0.268370020499938, 0.268370020499938, 0.155284554597335,          0.246219700947935, 0.255376275980047, 0.255376275980047,          0.250435976222025, 0.345053577007401, 0.153089379504462         ), PROX_MRT = c(0.911557541227745, 0.880392787161762,          0.880392787161762, 0.897030842789514, 0.897030842789514,          0.92637591011884, 0.752281430413819, 0.638393210693291,          0.741783227751877, 0.793335563342317, 0.582189406643083,          0.549740095282867, 0.549740095282867, 0.822399768635659,          0.405168801785449, 0.908007357991278, 0.908007357991278,          0.622308556906305, 0.849090589690401, 0.521845664201362         ), PROX_PARK = c(0.65460215425144, 0.675703893946554,          0.675703893946554, 0.68415716278098, 0.68415716278098,          0.888350706343443, 1.05219739289641, 0.730900012581548,          0.644279497097323, 0.57091664624863, 0.802226928628916,          0.878497256111703, 0.878497256111703, 0.471129460807546,          0.868342722448078, 0.381418159266178, 0.381418159266178,          0.627458410441261, 0.204920490916151, 0.730503149795042         ), PROX_GOOD_PRISCH = c(1.57772010642862, 1.51964159199475,          1.51964159199475, 1.69245386393467, 1.69245386393467,          1.37609088117382, 1.54472866778257, 1.50789829567152,          1.50173151878208, 0.962114901666907, 1.4460454342776,          1.46177539101005, 1.46177539101005, 0.876989954992127,          1.55873028154778, 0.825686703361669, 0.825686703361669,          1.26151864262594, 0.576127248022356, 2.01039924795066         ), PROX_MALL = c(0.913300066979642, 0.885934538444454,          0.885934538444454, 0.922177591154216, 0.922177591154216,          0.693136328895784, 0.472532088410597, 1.34630282297423,          1.41292867182356, 0.838333779631814, 1.37776203899083,          0.269774803261538, 0.269774803261538, 0.872531493441133,          0.129560175686973, 0.873995522285645, 0.873995522285645,          0.418279044459304, 1.12054305374088, 0.757457219803541         ), PROX_CHAS = c(0.184868017131885, 0.161497017697243,          0.161497017697243, 0.141741960002869, 0.141741960002869,          0.120595382532287, 0.165961529218061, 0.344403926608958,          0.375455350402476, 0.0950095589968322, 0.293630149165848,          0.20472250196774, 0.20472250196774, 0.109732367463933,          0.0647243745052949, 0.217153936659979, 0.217153936659979,          0.186550674976261, 0.290835710912963, 0.144412947448491         ), PROX_SUPERMARKET = c(0.247977273863763, 0.294310303883692,          0.294310303883692, 0.141741503991008, 0.141741503991008,          0.448117335537485, 0.447507928623339, 0.381194313170787,          0.408205375796458, 0.190547463602814, 0.445162931243089,          0.35798039621586, 0.35798039621586, 0.199099262156692,          0.241122798862169, 0.291549431934698, 0.291549431934698,          0.255147915067147, 0.292451786949051, 0.204623167766534         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 4L, 4L, 2L,          4L, 0L, 0L, 2L, 0L, 6L, 6L, 3L, 6L, 2L, 2L, 5L, 1L, 3L         ), WITHIN_350M_BUS = c(5L, 4L, 4L, 6L, 6L, 6L, 7L, 2L,          2L, 6L, 0L, 6L, 6L, 5L, 7L, 6L, 6L, 5L, 7L, 9L), WITHIN_1KM_PRISCH = c(5L,          5L, 5L, 5L, 5L, 5L, 5L, 4L, 3L, 2L, 4L, 3L, 3L, 2L, 2L,          2L, 2L, 2L, 2L, 4L), DNeighbour = c(0, 61.4219938531227,          66.1394003707283, 112.245808986644, 123.10873650989,          307.938150088389, 438.663491502648, 625.185407620306,          632.370784402749, 669.301935285555, 687.743779777355,          700.409360194307, 710.550092820513, 770.273468004922,          833.685675879099, 872.212230156806, 878.868677838984,          896.377693953885, 1057.53487316922, 1103.06026347396)), row.names = c("43",      "651", "648", "429", "914", "778", "97", "255", "630", "701",      "671", "316", "506", "210", "471", "482", "940", "84", "728",      "971"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.993808362505283,      0.992822542428843, 0.979397618394587, 0.975243114049212,      0.85020519675552, 0.70871430048531, 0.46072561237655, 0.450699159696817,      0.399212058183379, 0.373643567225969, 0.35618699565408, 0.342288922099369,      0.262521887559453, 0.183849136246798, 0.140446018056928,      0.133357614039914, 0.115352393349138, 0.006535174440254,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5865639380 
R squared (OOB):                  0.6554479 

$Forests[[44]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(485000, 510000, 452000,      450000, 460000, 458888, 422000, 455000, 468000, 440000, 460000,      420000, 475000, 430000, 426888, 390000, 425000, 382000, 323000,      520000), floor_area_sqm = c(95, 92, 92, 92, 92, 92, 92, 92,      92, 92, 92, 92, 92, 92, 92, 90, 92, 86, 90, 93), storey_order = c(5L,      5L, 2L, 3L, 3L, 4L, 2L, 4L, 4L, 2L, 5L, 2L, 2L, 1L, 1L, 5L,      4L, 2L, 1L, 5L), remaining_lease_mths = c(1141, 1133, 1133,      1136, 1137, 1130, 1132, 1136, 1124, 1136, 1136, 1139, 1126,      1134, 1141, 978, 988, 989, 983, 1147), PROX_CBD = c(12.8190940082697,      12.8180148044036, 12.8941535537835, 12.6444338023734, 12.6444338023734,      12.6444338023734, 12.6523002899419, 12.5530445309639, 12.5372560863306,      12.6445046545469, 12.5778468618744, 12.4951121122816, 12.6532888174316,      12.5852639843962, 12.5841594105866, 12.4059518996545, 12.1902934701837,      12.3082954752684, 12.0200214112876, 13.7003463440691), PROX_ELDERLYCARE = c(0.268492105828742,      0.265081039187363, 0.346816364720296, 0.0933099122535032,      0.0933099122535032, 0.0933099122535032, 0.17445131765005,      4.52036057904239e-07, 0.066903342124331, 0.316798451576888,      0.25879478544564, 0.0780281999502717, 0.373604611296459,      0.3637938018331, 0.419823195233641, 0.404564014080405, 0.362754738306624,      0.583230122785789, 0.618171206910468, 0.434917902994305),          PROX_HAWKER = c(0.146347761938812, 0.116173376637396,          0.172433027954251, 0.0943584031018698, 0.0943584031018698,          0.0943584031018698, 0.228019105088385, 0.183834631869038,          0.184899994018696, 0.385855619963418, 0.361759384229333,          0.227760265989261, 0.440383933038266, 0.45815519033126,          0.512822421809829, 0.551023632791116, 0.536726116414185,          0.732610931237137, 0.743318510800665, 1.07570104527527         ), PROX_MRT = c(0.0524349257152741, 0.0414043955932523,          0.133852264483784, 0.135663244459145, 0.135663244459145,          0.135663244459145, 0.189124878414716, 0.225183269009929,          0.250680884626282, 0.290856617513635, 0.325317058740364,          0.288636635543175, 0.24828698655044, 0.305105021876954,          0.285300897266269, 0.467412150427879, 0.364194860258715,          0.348338435446781, 0.291532437270123, 0.256932190523524         ), PROX_PARK = c(0.639036828502152, 0.594833919624026,          0.541994755536806, 0.61385987529272, 0.61385987529272,          0.61385987529272, 0.76865606278053, 0.665189387379371,          0.614568616662392, 0.927332929158558, 0.898636927133822,          0.64692671777276, 0.981635622560504, 0.998305920751222,          1.05356492524152, 1.06942514246801, 0.883674706708426,          1.248380402738, 0.871053837980522, 1.30953091682666),          PROX_GOOD_PRISCH = c(3.16783392704602, 3.15789060893291,          3.22227453062783, 2.98554640042679, 2.98554640042679,          2.98554640042679, 3.02962689364369, 2.90013878468328,          2.87119716545371, 3.06407026512831, 2.98751376551561,          2.83249303987555, 3.08870420529617, 3.02473222579279,          3.04090040576321, 2.85954585658161, 2.54749739008747,          2.82059786507503, 2.31713852475231, 4.10033714204368),          PROX_MALL = c(0.842111664425906, 0.881741038155881, 0.965068597681967,          0.835997866672575, 0.835997866672575, 0.835997866672575,          0.680457081346124, 0.801147315442336, 0.863947607104433,          0.525247230278188, 0.550769417999913, 0.848059510883206,          0.475487624694748, 0.450387082903272, 0.39575302739997,          0.423524868376446, 0.835543217968543, 0.312386349772529,          0.859289251142989, 0.816725098938654), PROX_CHAS = c(0.0812086980787344,          0.0772642002388838, 0.115846127710365, 0.102096070463208,          0.102096070463208, 0.102096070463208, 0.162820120107843,          0.0780281620295796, 0.0439945201117045, 0.312339613016365,          0.236995708134403, 3.19858778746232e-08, 0.362882313204726,          0.324614821605945, 0.369996201265779, 0.187639553192951,          0.167384851183216, 0.200650927390068, 0.310908028614088,          0.0738696133860389), PROX_SUPERMARKET = c(0.0812089624400091,          0.0772646744727167, 0.115845823699909, 0.102095775430648,          0.102095775430648, 0.102095775430648, 0.162819600148508,          0.189775839444753, 0.218453608018692, 0.312339147167174,          0.299832635957983, 0.255060837787685, 0.36465940083402,          0.389269910824952, 0.385003628727568, 0.375814638453933,          0.552359009160243, 0.200651971059786, 0.507879796624066,          0.0738703098972174), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 0L,          0L, 2L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(7L, 6L,          5L, 7L, 7L, 7L, 6L, 7L, 6L, 5L, 5L, 5L, 5L, 4L, 4L, 4L,          3L, 4L, 1L, 5L), WITHIN_350M_BUS = c(9L, 9L, 6L, 10L,          10L, 10L, 11L, 11L, 10L, 11L, 8L, 10L, 11L, 11L, 10L,          10L, 12L, 8L, 6L, 13L), WITHIN_1KM_PRISCH = c(4L, 3L,          3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L,          3L, 6L, 4L, 3L), DNeighbour = c(0, 50.2935718326802,          124.172731217703, 187.046374555783, 187.165918028163,          187.336830523709, 199.420435134221, 275.33329986609,          300.28028356408, 315.073266326421, 329.39459918932, 336.122313331356,          362.464467293843, 404.502622446169, 448.247327242809,          537.841800197616, 629.107130135307, 708.726799474142,          875.496822637525, 941.671838906343)), row.names = c("44",      "115", "371", "166", "92", "807", "311", "764", "672", "144",      "355", "791", "759", "180", "868", "138", "783", "231", "909",      "616"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994303134902353,      0.965526053770103, 0.922647154933737, 0.922550242128487,      0.922411586230025, 0.912315920517017, 0.836327461119965,      0.806970858922801, 0.788632872600923, 0.770254781426382,      0.761417400728126, 0.7256309541011, 0.66500758088725, 0.598166649900482,      0.453980141647138, 0.306557330945184, 0.187969036394169,      0.0183899377437792, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1329586846 
R squared (OOB):                  0.3280345 

$Forests[[45]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 320000, 295000,      363000, 4e+05, 645000, 365000, 342000, 428000, 357000, 312000,      415000, 420000, 335000, 345000, 355000, 420000, 5e+05, 358888,      5e+05), floor_area_sqm = c(90, 99, 99, 97, 97, 91, 95, 94,      98, 104, 104, 100, 90, 90, 92, 94, 99, 91, 91, 91), storey_order = c(7L,      2L, 1L, 4L, 1L, 8L, 1L, 1L, 3L, 3L, 2L, 1L, 2L, 1L, 2L, 1L,      3L, 2L, 3L, 1L), remaining_lease_mths = c(985, 736, 730,      701, 734, 1124, 735, 747, 730, 844, 828, 944, 925, 731, 742,      1071, 929, 706, 763, 690), PROX_CBD = c(13.0015179461712,      13.0062996581569, 13.0062996581569, 12.1013944735855, 13.4040436118709,      14.8760787686193, 13.3652677077184, 13.7770670669378, 14.0949321583848,      15.1925589930818, 15.1925589930818, 13.1525533734461, 12.960867808991,      13.8901285505698, 13.8901285505698, 15.3735649652411, 13.2222340992065,      10.2657373615824, 13.6826822978472, 10.2183960492338), PROX_ELDERLYCARE = c(2.41293236098656,      2.38777651439997, 2.38777651439997, 2.41403538414825, 0.954835536666776,      0.68142631506584, 0.876024529291782, 0.919307603677702, 1.07365166923746,      0.485996598795361, 0.485996598795361, 0.640770029240432,      0.579007844644764, 0.540311266279695, 0.540311266279695,      0.0572763643156628, 0.385934705647939, 0.519949541574078,      0.000158780971194199, 0.670964346371623), PROX_HAWKER = c(0.351298271738361,      0.353572407863602, 0.353572407863602, 0.561617227785994,      0.780321580506598, 0.74974565017819, 0.775887609068758, 0.478671478091809,      0.516176882783883, 0.787542750423298, 0.787542750423298,      0.959649545299011, 1.16344345150942, 0.213123049695643, 0.213123049695643,      0.371848396937832, 1.08380419022874, 0.527790221924738, 0.699744847940348,      0.161327078165055), PROX_MRT = c(1.33144343213696, 1.27898935828478,      1.27898935828478, 1.71497473755306, 0.515309591544804, 1.79130926962811,      0.585785046275015, 0.771349314593772, 0.499812381699912,      1.85503706760258, 1.85503706760258, 0.944408516927639, 0.899387073359532,      0.793013171832836, 0.793013171832836, 0.753708157385654,      0.503688459146237, 0.351828842975553, 0.751023886560838,      0.352113639571012), PROX_PARK = c(1.07883678308045, 1.09068530070835,      1.09068530070835, 0.181629272169071, 1.22140134317452, 1.13853863936216,      1.30724345285799, 0.941140572803456, 0.62523741493865, 1.41855585272788,      1.41855585272788, 1.65277848527316, 1.44660566239193, 1.23128896715218,      1.23128896715218, 0.535685352466539, 1.61082819122054, 0.752867192571236,      1.77145949687945, 0.412720152963846), PROX_GOOD_PRISCH = c(2.38441646582032,      2.37986575446387, 2.37986575446387, 1.52909264222103, 2.95770979509606,      4.21930918110887, 2.95461231779958, 3.3146343023011, 3.57828936266804,      4.5504124031687, 4.5504124031687, 2.95137840528657, 2.82458087567675,      3.56420611596829, 3.56420611596829, 4.72825571795328, 3.2388029474634,      0.402201611323318, 3.58938982364218, 0.778258345851083),          PROX_MALL = c(1.32151107168067, 1.26979124568258, 1.26979124568258,          1.69674818443598, 0.412160376682232, 0.829646558484038,          0.473263954532778, 0.672803550263317, 0.812049880186,          0.816582289717011, 0.816582289717011, 0.703422933264244,          0.695129776671669, 1.05377974643614, 1.05377974643614,          0.408391974099547, 0.587950861513872, 0.347570072991699,          0.770100764029299, 0.1993183735571), PROX_CHAS = c(0.185431787540406,          0.178755496827681, 0.178755496827681, 0.26797195188846,          0.240863562772424, 0.426635940266524, 0.179342279988699,          0.0886717393158711, 0.135156069731972, 0.0584110846116202,          0.0584110846116202, 0.1365287941905, 0.341366062526918,          0.0812638133573676, 0.0812638133573676, 0.289984207596008,          0.151225190585885, 0.329846033180528, 0.110149755252424,          0.176868193181362), PROX_SUPERMARKET = c(0.185431698278212,          0.178755398427066, 0.178755398427066, 0.570395350553557,          0.422907964790702, 0.341487242626205, 0.487840963146543,          0.334979160094168, 0.352618767904154, 0.515584409426496,          0.515584409426496, 0.688592108834651, 0.668273194253219,          0.082811926566736, 0.082811926566736, 0.406388098650168,          0.459946280432931, 0.353445486406562, 0.11210687568128,          0.245740902557878), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 2L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L,          2L, 0L, 1L, 2L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 1L, 5L, 6L, 6L, 3L, 1L, 4L, 4L, 2L, 1L, 4L, 4L, 4L,          5L, 4L, 3L, 6L), WITHIN_350M_BUS = c(10L, 7L, 7L, 10L,          6L, 10L, 6L, 10L, 9L, 11L, 11L, 6L, 2L, 4L, 4L, 12L,          8L, 10L, 9L, 6L), WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 0L,          2L, 0L, 2L, 2L, 2L, 0L, 0L, 2L, 3L, 4L, 4L, 1L, 4L, 3L,          2L, 4L), DNeighbour = c(0, 57.7804391493414, 59.2286511158432,          905.254161258393, 1831.33707462406, 1889.7405363481,          1911.05919861584, 1984.97218131549, 2027.61378207357,          2192.73486191242, 2193.09533423281, 2305.83245119047,          2361.36002970215, 2413.43914240771, 2415.42262226947,          2615.82831745355, 2752.95685922776, 2781.1707729105,          2784.65926564587, 2793.19850908121)), row.names = c("45",      "412", "445", "40", "757", "312", "238", "337", "25", "104",      "589", "496", "831", "90", "214", "601", "350", "649", "1000",      "584"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999144352002065,      0.999100932231174, 0.800960872086788, 0.325052918047318,      0.294066608691657, 0.2829106885676, 0.245009035380386, 0.223779221589019,      0.147251312496872, 0.14709583589809, 0.101456213892575, 0.0813988786224284,      0.0642280137821506, 0.0636072761665713, 0.0151214116018677,      0.000818329887080626, 7.38502639448655e-05, 3.72706061133306e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7828458868 
R squared (OOB):                  -0.1886251 

$Forests[[46]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(358000, 363000, 340000,      4e+05, 430000, 345000, 370000, 355000, 672000, 660000, 440000,      550000, 675000, 710000, 662000, 715000, 680000, 380000, 685000,      380000), floor_area_sqm = c(84, 84, 84, 104, 104, 84, 84,      84, 85, 85, 91, 102, 95, 93, 95, 95, 95, 93, 93, 92), storey_order = c(3L,      4L, 1L, 2L, 2L, 1L, 3L, 3L, 5L, 3L, 5L, 3L, 2L, 6L, 3L, 6L,      4L, 3L, 2L, 1L), remaining_lease_mths = c(770, 780, 780,      783, 781, 789, 777, 782, 1042, 1032, 669, 761, 1093, 1084,      1093, 1099, 1084, 790, 1142, 767), PROX_CBD = c(6.82164733234375,      6.82164733234375, 6.73119135364588, 6.8579883001408, 7.27303659463988,      7.23308787648785, 7.32999369210923, 7.37752466520609, 6.58265946872266,      6.62545736407856, 6.95185067667089, 6.04257091454572, 6.15852201326599,      6.17931132662417, 6.11286474740545, 6.06656257116635, 6.04001281876484,      7.92065359752155, 6.19231755176043, 8.01258306529517), PROX_ELDERLYCARE = c(0.729511559050305,      0.729511559050305, 0.709869492714774, 0.650979480304367,      0.949520652768775, 0.804640181087392, 1.04617467786566, 1.11141904944431,      0.129826558983194, 0.121758896932011, 0.368543492371998,      0.548656319889636, 0.428116600598184, 0.411122241220865,      0.471592353212743, 0.516985202466339, 0.545921172841312,      1.44631042678071, 0.355678840187058, 1.38923408288603), PROX_HAWKER = c(0.834207881424508,      0.834207881424508, 0.84617550022745, 0.732876252375814, 0.905159668549179,      0.727393295990439, 1.00458194418859, 1.06790139631185, 0.37361464573735,      0.33268573973532, 0.163396016993116, 0.19523132016882, 0.104458461300263,      0.114709112077857, 0.0855319563513606, 0.0900485470251793,      0.0606577495598573, 0.646393168274836, 0.287310245845902,      0.532883444787396), PROX_MRT = c(0.401668294921849, 0.401668294921849,      0.447149108468339, 0.479854345281657, 0.477339162120678,      0.626719191507479, 0.446590670593176, 0.450606800129455,      0.288098631383321, 0.255638745600017, 0.258776848421036,      0.448203274012385, 0.567634817298681, 0.54480998513683, 0.576684647572531,      0.530436532640755, 0.53617676606472, 0.434970780163821, 0.3593423355956,      0.57194553577364), PROX_PARK = c(1.33915084667526, 1.33915084667526,      1.30601230217613, 1.26891760289394, 1.28136359713013, 1.17683143601381,      1.30043300411079, 1.30417314517193, 0.734858817801552, 0.741691321664553,      0.871860056746433, 0.651264615899835, 0.487498062645995,      0.461766774013401, 0.517760851715104, 0.548254609843109,      0.524571131123829, 0.790688256163915, 0.861129399478803,      0.580004121625521), PROX_GOOD_PRISCH = c(2.67483404440455,      2.67483404440455, 2.67147237000904, 2.57894825178105, 2.72285479219865,      2.53413597667736, 2.81856751915823, 2.87682745937193, 2.10026546945211,      2.08436883673306, 1.99104033276262, 2.14268529299874, 1.97696478280336,      1.95037752635058, 2.00772186702724, 2.03651743937875, 2.00925132829891,      2.86596411907387, 3.647323571983, 2.75227504535898), PROX_MALL = c(0.977306285381771,      0.977306285381771, 0.894914409230097, 0.985446043286547,      1.40144317349524, 1.33824767405872, 1.4733570331857, 1.52964479685301,      0.712222885156031, 0.757747380414752, 1.10491400246256, 0.264532440460292,      0.446404896609829, 0.476611693189829, 0.403935094648282,      0.365617038961166, 0.387042201482337, 2.02812113432733, 1.22999734499907,      2.11322307221905), PROX_CHAS = c(0.389404577789016, 0.389404577789016,      0.468632365618207, 0.418063314797021, 0.150676124399865,      0.335243362149438, 0.100781853121145, 0.123680988169118,      0.19769969897302, 0.152169077912936, 0.197049444171332, 0.12619956254809,      0.0766942583569258, 0.10259225576309, 0.0679258481743644,      0.0929349198733403, 0.134421273847083, 0.0418426354504526,      0.255647811562625, 0.1333322783253), PROX_SUPERMARKET = c(0.457775852816324,      0.457775852816324, 0.541263540151477, 0.471666412940503,      0.216512452964216, 0.400791637001426, 0.154588063793208,      0.15284622075069, 0.255985378039003, 0.21094349839638, 0.145490551360364,      0.178930757423705, 0.11965836137487, 0.134806953278168, 0.0895469396191502,      0.0785030623714358, 0.0393286469640316, 0.6226371739075,      0.108411284353298, 0.475213328012689), WITHIN_350M_KINDERGARTEN = c(0L,      0L, 0L, 0L, 1L, 1L, 1L, 2L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L,      1L, 2L, 0L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 1L,      4L, 2L, 4L, 5L, 0L, 0L, 3L, 4L, 3L, 3L, 3L, 3L, 4L, 3L, 2L,      2L), WITHIN_350M_BUS = c(4L, 4L, 4L, 3L, 7L, 4L, 8L, 9L,      2L, 2L, 4L, 7L, 6L, 6L, 6L, 8L, 8L, 6L, 10L, 6L), WITHIN_1KM_PRISCH = c(2L,      2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L,      1L, 3L, 1L, 2L), DNeighbour = c(0, 0.722697304440234, 95.1109954707068,      108.614250043447, 448.428965810689, 471.986965308489, 506.285944004684,      560.256816443864, 609.900604515442, 612.162875671419, 721.064682103074,      961.421428769167, 980.330108783996, 987.76508677466, 1002.57650442401,      1016.40325976916, 1059.09595523653, 1117.04635471723, 1225.69314181452,      1248.26766035804)), row.names = c("46", "322", "529", "168",      "611", "171", "187", "948", "388", "841", "492", "453", "23",      "756", "536", "297", "930", "1", "305", "200"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999999329610267, 0.988422534068164, 0.98491514940985, 0.758546724204697,      0.734500615756999, 0.698053667442742, 0.63768833403027, 0.579535618946841,      0.57683734119694, 0.4439794412551, 0.165473999357476, 0.146858698583359,      0.139749247823917, 0.12596184893069, 0.113565777567672, 0.0784717902043533,      0.0396785180159733, 0.00128467048238663, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3602053822 
R squared (OOB):                  0.8458028 

$Forests[[47]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(318000, 316000, 375000,      305000, 279000, 3e+05, 297000, 325000, 370000, 355000, 359900,      272000, 245000, 380000, 282000, 303000, 350000, 320000, 298000,      330000), floor_area_sqm = c(91, 92, 92, 91, 91, 96, 91, 91,      93, 93, 93, 89, 88, 105, 84, 92, 103, 84, 93, 103), storey_order = c(1L,      3L, 4L, 4L, 2L, 4L, 3L, 4L, 5L, 3L, 3L, 2L, 2L, 2L, 1L, 1L,      4L, 1L, 1L, 2L), remaining_lease_mths = c(765, 781, 783,      791, 801, 791, 788, 780, 1106, 1111, 1117, 882, 668, 910,      836, 794, 768, 822, 777, 773), PROX_CBD = c(18.2234963781047,      18.2234963781047, 18.1857629477019, 18.2610111258248, 18.2989051402725,      18.5761736305699, 18.1476771148045, 18.1476771148045, 18.8127816342995,      18.8127816342995, 18.8127816342995, 17.8554664137964, 18.8842060529579,      17.589085398281, 18.5087583118065, 18.2139172788048, 18.3186881593276,      17.6406634027014, 18.5252470382495, 18.4499801912104), PROX_ELDERLYCARE = c(0.448333702611612,      0.448333702611612, 0.47723779098819, 0.421521882373529, 0.397078044127006,      0.0638277150498875, 0.519546459890619, 0.519546459890619,      0.176499517448139, 0.176499517448139, 0.176499517448139,      0.800501761367975, 0.229103995883471, 0.387351173411546,      0.855934448185717, 0.649170232100017, 0.586525817031338,      1.035266769267, 0.449194476018676, 0.504778052376495), PROX_HAWKER = c(0.416527045274471,      0.416527045274471, 0.380157991945912, 0.453171307776496,      0.491047773869601, 0.562029876499453, 0.209390724873544,      0.209390724873544, 0.325560722493799, 0.325560722493799,      0.325560722493799, 0.203123967436651, 0.280513302960552,      0.776912813652288, 1.00705768005988, 0.488031980714328, 0.564283191409187,      0.425506106332545, 0.69553534809229, 0.652207052169444),          PROX_MRT = c(0.545975779093886, 0.545975779093886, 0.548087095608087,          0.547550551918807, 0.552168886353884, 0.874368880716004,          0.491311596778589, 0.491311596778589, 1.04083770509984,          1.04083770509984, 1.04083770509984, 0.555370291384357,          1.03601464731326, 0.371614593402704, 0.534460782086299,          0.192826481399443, 0.220618943711049, 0.641227062746355,          0.398456142880405, 0.322534237265928), PROX_PARK = c(0.264257474455249,          0.264257474455249, 0.261695126667213, 0.272660801967067,          0.287159802467115, 0.287868908027907, 0.270911567278729,          0.270911567278729, 0.51923222906617, 0.51923222906617,          0.51923222906617, 0.515057634059466, 0.579556587207627,          0.925923962472294, 0.516289874277036, 0.532358306258428,          0.548488124002706, 0.74946287094318, 0.491317901173298,          0.536975621309476), PROX_GOOD_PRISCH = c(9.1355701416359,          9.1355701416359, 9.10363750169146, 9.16752282736586,          9.19982386356694, 9.51590189269927, 9.18618174729203,          9.18618174729203, 9.7422556358987, 9.7422556358987, 9.7422556358987,          8.91472106998272, 9.83133063879426, 8.43639308613493,          9.25922423900801, 9.33501569353139, 9.44179125712709,          8.7372089119322, 9.63394268044443, 9.56762880935522),          PROX_MALL = c(0.411037179701155, 0.411037179701155, 0.374195605351922,          0.448092738738542, 0.486326630506135, 0.624506085881379,          0.218975149940797, 0.218975149940797, 0.856774663098642,          0.856774663098642, 0.856774663098642, 0.208298160410803,          0.91348864249693, 0.232188905247248, 0.521454353681198,          0.498813518897969, 0.574856358668165, 0.427942470585451,          0.705200807731176, 0.662291407978718), PROX_CHAS = c(0.132763801624598,          0.132763801624598, 0.172021358032342, 0.0964740211655948,          0.0660681856594747, 0.0792988689034794, 0.218975205360203,          0.218975205360203, 0.2593611752042, 0.2593611752042,          0.2593611752042, 0.208298146952687, 0.241229981070425,          0.0713809516165408, 0.521454374874156, 0.0363398547195702,          0.141159289664064, 0.23100298607827, 0.240425442805127,          0.201478871858691), PROX_SUPERMARKET = c(0.421116980529575,          0.421116980529575, 0.38486207983901, 0.457654559995222,          0.490326509583637, 0.625539331690589, 0.206881250620068,          0.206881250620068, 0.856773769273042, 0.856773769273042,          0.856773769273042, 0.19872598136169, 0.911876453557648,          0.238177195426237, 0.521454611985023, 0.186956242757619,          0.210011389308567, 0.231004283416662, 0.386130046709882,          0.310351384739933), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 5L, 1L, 2L, 1L, 5L,          4L, 6L, 1L, 2L), WITHIN_350M_BUS = c(6L, 6L, 4L, 6L,          6L, 10L, 7L, 7L, 16L, 16L, 16L, 10L, 13L, 8L, 4L, 9L,          10L, 8L, 8L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 2L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 5L, 4L, 2L, 2L, 3L,          2L, 2L), DNeighbour = c(0, 2.55922971778085, 43.6611592061102,          43.9526143889302, 85.2561520463905, 387.252220323211,          472.316655835845, 473.7258423734, 601.490163694298, 606.602426189841,          609.974629800979, 622.071005515924, 702.886093529126,          717.136465008339, 724.306655874973, 771.021247727035,          801.720769878709, 830.737199658039, 831.07286160475,          833.989954906147)), row.names = c("47", "202", "733",      "905", "433", "78", "827", "944", "637", "418", "604", "467",      "96", "464", "393", "481", "367", "730", "11", "810"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999981166768206, 0.994526018484361, 0.994452794626642,      0.979208558431978, 0.615269779729054, 0.461402417489073,      0.45880217258279, 0.230248187007386, 0.221805459465801, 0.216284433830698,      0.196813743118233, 0.0839199800267081, 0.0679101181403199,      0.0603862391138516, 0.0211136058901496, 0.00575898195693771,      6.06101865667345e-05, 4.87661652299709e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1324554263 
R squared (OOB):                  0.03010961 

$Forests[[48]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(537000, 475000, 476000,      5e+05, 510000, 620000, 407000, 375000, 355000, 685000, 753000,      680000, 680000, 8e+05, 748000, 945500, 912000, 7e+05, 755000,      1056800), floor_area_sqm = c(106, 103, 103, 103, 93, 103,      82, 82, 82, 93, 87, 91, 85, 90, 107, 87, 87, 93, 90, 95),          storey_order = c(4L, 2L, 2L, 1L, 4L, 2L, 5L, 3L, 2L,          4L, 5L, 3L, 2L, 7L, 2L, 8L, 3L, 1L, 2L, 16L), remaining_lease_mths = c(760,          781, 774, 773, 746, 911, 661, 645, 656, 1115, 1104, 984,          1066, 1063, 899, 1143, 1142, 625, 983, 1081), PROX_CBD = c(3.12641734116327,          3.09516181063763, 3.09516181063763, 3.24578829573265,          3.46549777590634, 2.86182045335715, 3.63085360417079,          3.68559345068932, 3.73116287154914, 2.56060478168524,          2.5775653440094, 2.86455481676114, 2.96405104980333,          2.97610984462207, 2.52364731081334, 2.51922626320824,          2.51922626320824, 2.09358084499411, 2.01305703462688,          1.77209924777956), PROX_ELDERLYCARE = c(0.570344367187993,          0.614909460801077, 0.614909460801077, 0.461566734593474,          0.22080460703487, 0.334062202372697, 0.233260955843543,          0.466665237090727, 0.501456868829436, 0.303984777605612,          0.283170941801308, 0.111411798512938, 0.206690358794928,          0.249991250520312, 0.132133546591398, 1.25853619714168e-06,          1.25853619714168e-06, 0.442569764285143, 0.301111196915018,          0.140516738363648), PROX_HAWKER = c(0.582032517556358,          0.524942013349153, 0.524942013349153, 0.461305554076076,          0.288924403117312, 0.231089093207534, 0.0974836441417274,          0.28293755865871, 0.311969910328466, 0.450094806637729,          0.447120961378381, 0.302651224916382, 0.344572110572533,          0.405863058813757, 0.315417458803045, 0.187177165934232,          0.187177165934232, 0.103399879312882, 0.439754799726314,          0.23052169920376), PROX_MRT = c(1.19588154804183, 1.19880844528061,          1.19880844528061, 1.11057161001852, 0.855873415641472,          0.819080841065402, 0.897060452829867, 1.17490863944549,          1.10221151459309, 0.546591463865751, 0.499107329029013,          0.391395986196982, 0.377919714857806, 0.337225216160626,          0.277076743329557, 0.243725266054354, 0.243725266054354,          0.681532284353367, 0.650763936895186, 0.454819638815125         ), PROX_PARK = c(0.971029675538415, 0.971409228458194,          0.971409228458194, 0.856773721705297, 0.78484111030831,          0.609617368578913, 0.512523364266062, 0.304435062988112,          0.271761978726623, 0.21329655328302, 0.18481391877062,          0.399002951856213, 0.495024008458079, 0.4671588721782,          0.163253442595557, 0.28862748451296, 0.28862748451296,          0.400473707610266, 0.806729342800227, 0.568364566172339         ), PROX_GOOD_PRISCH = c(5.52416256345089, 5.46565510857314,          5.46565510857314, 5.51078547454581, 5.67094725420518,          5.1514664212482, 5.4842432173218, 5.15997579188296, 5.22570836776045,          4.93746215949662, 4.89009258041755, 4.71207116352008,          4.62297298452196, 4.56048774292729, 4.61812725480087,          4.50145006484821, 4.50145006484821, 4.81109980295855,          6.32589195448141, 6.2014068010071), PROX_MALL = c(1.29251563056945,          1.2281628510896, 1.2281628510896, 1.33172083977874, 1.56665946009711,          0.848351644608041, 1.51733094855201, 1.3376464242075,          1.41171259857663, 0.572150632107275, 0.524781909718914,          0.420489734799516, 0.404565296260845, 0.362094853274792,          0.290995843291254, 0.244046547559164, 0.244046547559164,          0.685370188976197, 0.368960166061844, 0.293469301127063         ), PROX_CHAS = c(0.202999736112437, 0.240903750709302,          0.240903750709302, 0.0869328465249217, 0.173647795570322,          0.159666076311523, 0.318203164684035, 0.216565147674259,          0.261237260735983, 0.0640474788759872, 0.0301364724824846,          0.110042750971165, 0.0506108453744785, 0.111500209373212,          0.0122221533760307, 0.0462846720247782, 0.0462846720247782,          0.165994533154508, 0.298496878246672, 0.116110892529562         ), PROX_SUPERMARKET = c(0.202998478162502, 0.240902416159861,          0.240902416159861, 0.0869315055470345, 0.173649067116538,          0.360029455717415, 0.318204198369299, 0.252487697752149,          0.301923436189205, 0.315915165677582, 0.275738565320567,          0.110042446678578, 0.0506107476035619, 0.111500172768761,          0.0373112013983995, 0.169442491353445, 0.169442491353445,          0.346795592234613, 0.364789845186166, 0.203860721712114         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 1L,          0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L, 2L, 1L, 3L,          1L, 3L, 3L, 4L, 4L, 4L, 3L, 3L, 6L, 4L, 4L, 4L, 4L, 7L         ), WITHIN_350M_BUS = c(5L, 4L, 4L, 6L, 9L, 4L, 11L, 10L,          9L, 3L, 3L, 7L, 7L, 4L, 6L, 4L, 4L, 7L, 10L, 10L), WITHIN_1KM_PRISCH = c(2L,          3L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 4L, 4L, 3L, 2L,          2L, 2L, 1L, 1L, 1L), DNeighbour = c(0, 57.3032750560206,          63.012790985081, 117.841664946318, 356.570530833788,          454.33670433737, 517.416558414051, 691.958942954549,          701.372555483784, 842.229844397515, 871.667347118588,          874.011807104547, 930.959914031278, 992.326789620909,          1175.55101251429, 1296.80622746251, 1300.89747587298,          1377.60179966335, 1483.84725836034, 1588.60381554159)), row.names = c("48",      "134", "126", "192", "454", "561", "742", "683", "432", "390",      "999", "968", "389", "319", "65", "816", "550", "824", "567",      "509"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.997399391081375,      0.996855769029127, 0.989025114056622, 0.901777807450529,      0.843101221851476, 0.799086008786719, 0.656542114428737,      0.64814662964729, 0.516845868077345, 0.488500363887797, 0.486236061883891,      0.431091921795925, 0.371865940876427, 0.204679087902996,      0.111305357404985, 0.108513118367817, 0.0615054087649054,      0.0162655959655998, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12330714262 
R squared (OOB):                  0.674171 

$Forests[[49]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(283000, 320000, 340000,      338000, 3e+05, 304500, 285000, 288000, 258000, 292000, 315000,      350000, 416000, 4e+05, 420000, 433000, 416000, 365000, 395000,      3e+05), floor_area_sqm = c(84, 104, 103, 93, 84, 104, 84,      84, 84, 84, 84, 91, 98, 92, 92, 92, 92, 92, 92, 84), storey_order = c(4L,      3L, 4L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 1L, 4L, 2L, 5L, 4L,      4L, 1L, 2L, 2L), remaining_lease_mths = c(781, 788, 784,      778, 766, 783, 776, 770, 781, 761, 783, 957, 779, 1130, 1143,      1130, 1140, 1137, 1146, 803), PROX_CBD = c(16.4061281598547,      16.4061281598547, 16.4938482623735, 16.3741208173644, 16.3138748954346,      16.62872619839, 16.2311391435218, 16.2681803933938, 16.1631400386504,      16.3662877971208, 16.7380919986833, 16.4034806336055, 16.1674221276903,      16.1976566517324, 16.1537572283104, 16.055983361932, 16.055983361932,      16.0046521285213, 16.0046521285213, 16.9304098343314), PROX_ELDERLYCARE = c(0.45678545326778,      0.45678545326778, 0.54260343924556, 0.617661573186221, 0.259941730365991,      0.618318415391572, 0.252142982647588, 0.20801878428071, 0.194171564025932,      0.177020457931737, 0.827102139700697, 0.839978570407226,      0.762025473923165, 9.89208662673193e-07, 0.0462823216560119,      0.146417557277997, 0.146417557277997, 0.20718686492254, 0.20718686492254,      0.828632612828485), PROX_HAWKER = c(1.27662029927611, 1.27662029927611,      1.26080574998962, 1.08852003222566, 1.19589315813724, 1.328000513126,      1.12300848995143, 1.14155805943316, 1.03995728027003, 1.20613696965479,      1.22509286076097, 0.889236545198411, 0.872582424517839, 1.03146250928298,      0.986028325459381, 0.897672222950446, 0.897672222950446,      0.855932206484513, 0.855932206484513, 1.5376564224438), PROX_MRT = c(0.840195727203247,      0.840195727203247, 0.884131305433386, 0.70945464840636, 0.896077488488813,      1.00682967627403, 0.830985280221221, 0.896888955057001, 0.842728374229233,      1.07002489239586, 0.950017645146174, 0.660139833101166, 0.447065767326062,      1.02706758196582, 1.02112351286352, 0.936151237003446, 0.936151237003446,      0.883219311345816, 0.883219311345816, 1.07382507713197),          PROX_PARK = c(0.499042267647801, 0.499042267647801, 0.418424058290637,          0.371358045807383, 0.695881850270676, 0.402413252549947,          0.723677668737743, 0.750067315759091, 0.707513815343702,          0.840406553837571, 0.234693283811741, 0.251028276822116,          0.490935310554108, 0.822565203699192, 0.793519520304926,          0.683762717294504, 0.683762717294504, 0.619767633008914,          0.619767633008914, 0.542342748872478), PROX_GOOD_PRISCH = c(6.91087941258894,          6.91087941258894, 6.98980449668537, 6.84990365493624,          6.84997592861041, 7.12509880547394, 6.76533990958697,          6.81173689796023, 6.70927938580052, 6.93507101526025,          7.2060126627476, 6.84769610957781, 6.62018800412964,          6.78043949525415, 6.74044920052795, 6.63421015362065,          6.63421015362065, 6.57618460349959, 6.57618460349959,          7.43262545617428), PROX_MALL = c(0.408074329267436, 0.408074329267436,          0.506769239398443, 0.523710338103731, 0.242195958154985,          0.615098633053939, 0.175221521556568, 0.188162247463955,          0.0870960802892481, 0.298590834338171, 0.804164390636077,          0.630333401213655, 0.402318259451987, 0.189710317758296,          0.180580587241737, 0.118546137622893, 0.118546137622893,          0.110811660449771, 0.110811660449771, 0.876234606673171         ), PROX_CHAS = c(0.178111672550416, 0.178111672550416,          0.128042490192306, 0.0863783451683255, 0.218904529587093,          0.218296317772089, 0.170601730776313, 0.160774225575301,          0.081875317774622, 0.209004221202181, 0.206110482646065,          0.142060383584178, 0.277543603442508, 0.0868060808909073,          0.0922372285822684, 0.110329053122027, 0.110329053122027,          0.114687044901222, 0.114687044901222, 0.477517805288537         ), PROX_SUPERMARKET = c(0.17811123384324, 0.17811123384324,          0.128042463684685, 0.0863776808909183, 0.204979568486045,          0.218296734885766, 0.137275095711229, 0.189660657064324,          0.0873208554119548, 0.303085580417471, 0.283037745664543,          0.142061131074292, 0.277543419111335, 0.195853508350489,          0.186806037215644, 0.123371553336512, 0.123371553336512,          0.112847248683738, 0.112847248683738, 0.422051752195747         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 0L, 0L,          0L, 0L, 0L, 0L, 1L, 2L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          5L, 6L, 6L, 8L, 3L, 3L, 3L, 8L, 8L, 3L, 3L, 3L, 3L, 1L         ), WITHIN_350M_BUS = c(8L, 8L, 6L, 4L, 8L, 6L, 10L, 11L,          11L, 5L, 5L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 4L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 5L, 4L, 5L, 5L, 5L, 4L, 4L, 4L, 5L, 5L, 4L,          5L, 5L, 5L, 5L, 3L), DNeighbour = c(0, 6.99087027749068,          95.5879993082721, 187.310543701311, 201.071808585041,          224.092533200886, 237.550947645377, 259.222130706267,          329.12925663741, 355.537214452313, 390.015605288782,          408.598761578097, 432.284749090045, 460.283199816586,          492.56812979072, 510.057885716808, 514.683128835412,          520.006319595288, 520.835281661351, 526.483066102201)), row.names = c("49",      "595", "150", "788", "848", "26", "945", "798", "872", "687",      "896", "206", "351", "427", "869", "741", "538", "594", "408",      "833"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999647397505738,      0.935158915371566, 0.762867310959905, 0.729556662668449,      0.670482791841919, 0.634277640599668, 0.573921628187102,      0.371114105194652, 0.295894332313662, 0.203603047038663,      0.158151595377731, 0.106163579386642, 0.0555399116431626,      0.0155466345400244, 0.00377272888703146, 0.00196454457083977,      0.000597923780631266, 0.000455382168685924, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2978971249 
R squared (OOB):                  0.01442967 

$Forests[[50]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(489000, 515000, 510000,      535888, 505000, 510000, 4e+05, 430000, 460000, 403000, 545000,      535000, 525000, 495000, 440000, 532000, 530000, 485000, 460000,      589000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 93, 93, 97, 93, 93, 96, 95, 93, 93, 96), storey_order = c(2L,      2L, 3L, 3L, 4L, 3L, 1L, 1L, 2L, 1L, 5L, 4L, 3L, 5L, 2L, 4L,      4L, 2L, 3L, 6L), remaining_lease_mths = c(1137, 1138, 1141,      1148, 1136, 1136, 1131, 1128, 1137, 1138, 1127, 1118, 1098,      1080, 1142, 1111, 1106, 1147, 1138, 1111), PROX_CBD = c(14.4453014943547,      14.4453014943547, 14.6372730844548, 14.6520289820308, 14.6520289820308,      14.0250110126613, 13.9748767742628, 13.983033341901, 13.9481332653994,      13.9348601041022, 13.8964286142315, 13.8964286142315, 14.3488328635023,      14.2035293519974, 13.9713915856932, 13.8842234613226, 14.4087790426081,      13.9293604468603, 13.8880322509317, 13.8838492138892), PROX_ELDERLYCARE = c(0.431976777822193,      0.431976777822193, 0.618556221806735, 0.613695690312218,      0.613695690312218, 0.0392522324995346, 0.0869602171534455,      0.0819455196406728, 0.108372417523696, 0.122633260073778,      0.28821019895416, 0.28821019895416, 0.805205193908325, 0.685279068417721,      0.226595382415433, 0.284905700992106, 0.87860471100088, 0.234065981952779,      0.250782943854859, 0.321249151015697), PROX_HAWKER = c(0.391270554493315,      0.391270554493315, 0.372997368954845, 0.451492926165754,      0.451492926165754, 0.732915378457501, 0.759405218095962,      0.818439961244233, 0.783686601130967, 0.848294615942255,      0.700607063348248, 0.700607063348248, 0.28631929470226, 0.384064154962602,      0.954180271331751, 0.667389882084889, 0.295591155505828,      0.970053791291438, 0.989318285046145, 0.661984274687099),          PROX_MRT = c(0.309279527401184, 0.309279527401184, 0.272003951573521,          0.194501865291986, 0.194501865291986, 0.179377644983316,          0.16215489673441, 0.0961191462833423, 0.146013494832411,          0.066674836544346, 0.214342865325431, 0.214342865325431,          0.320519516131068, 0.289240493397468, 0.128817306959056,          0.172676244118343, 0.258499173090988, 0.101292979723356,          0.0905698875540676, 0.202599849124069), PROX_PARK = c(0.463863624631307,          0.463863624631307, 0.308864268906528, 0.365417477470037,          0.365417477470037, 0.898948825756494, 0.93793434477989,          0.973290645087517, 0.964943529987853, 1.01289159319472,          0.945155408432775, 0.945155408432775, 0.585388118838944,          0.69423802629866, 1.07610116952693, 0.946790994443363,          0.572778275466331, 1.10248671215858, 1.13098813526459,          0.953674473627188), PROX_GOOD_PRISCH = c(4.92565705183443,          4.92565705183443, 5.11658251455146, 5.11305585404091,          5.11305585404091, 4.48326906164864, 4.4381077472328,          4.42376284483209, 4.41058426346667, 4.3780728039611,          4.42474408393319, 4.42474408393319, 4.99658730632735,          4.84858590291698, 4.37541592083903, 4.46427355245829,          5.07040230577432, 4.33684280477295, 4.29841605508598,          4.48950135049007), PROX_MALL = c(0.259948531881284, 0.259948531881284,          0.415222463814875, 0.462374515344904, 0.462374515344904,          0.387952579177684, 0.408666125180857, 0.475935346664486,          0.431747484707969, 0.500682206465503, 0.36232957329041,          0.36232957329041, 0.415696526053807, 0.37351280301214,          0.625072347077181, 0.384398044205003, 0.48422641650143,          0.634323955575517, 0.648384322611893, 0.415387276861254         ), PROX_CHAS = c(0.259948576333881, 0.259948576333881,          0.210026666936211, 0.131494587645238, 0.131494587645238,          0.116095717847762, 0.0955424375353944, 0.0483941894268844,          0.0812590805558053, 3.70448785353559e-08, 0.190952462752685,          0.190952462752685, 0.232702657922268, 0.170907589664044,          0.0752462089475253, 0.0936868185767241, 0.263312743704905,          0.0456516508281062, 0.0495611607390083, 0.130388475133542         ), PROX_SUPERMARKET = c(0.257218468152336, 0.257218468152336,          0.207346349364418, 0.133013806318261, 0.133013806318261,          0.21237786594893, 0.205979542456043, 0.123899374628808,          0.194128300134642, 0.112910168339451, 0.190953240917096,          0.190953240917096, 0.232703172737007, 0.170908382081647,          0.0752464841458058, 0.093687407280864, 0.263313051629592,          0.04565204632056, 0.0495614942866338, 0.130388583033251         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 0L, 0L, 2L,          2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 2L, 2L, 2L, 5L,          4L, 4L, 3L, 5L, 4L, 4L, 6L, 5L, 5L, 3L, 6L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 4L, 6L, 6L, 9L, 6L, 11L,          7L, 11L, 9L, 9L, 9L, 9L, 11L, 7L, 10L, 11L, 11L, 9L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 5L, 5L, 6L, 5L, 4L, 5L, 5L, 4L, 4L, 5L), DNeighbour = c(0,          7.34047278616122, 190.698918041453, 215.716579389235,          216.157858999723, 442.23798084215, 488.870847309208,          518.590608621411, 521.28698641641, 553.222712395149,          558.168401071359, 562.432924631347, 586.774295898051,          596.043993934848, 609.717637560115, 628.682190806382,          633.867104617876, 638.618101899692, 664.313209344182,          669.000810391419)), row.names = c("50", "855", "846",      "284", "958", "8", "690", "710", "34", "356", "442", "760",      "363", "66", "361", "670", "969", "21", "662", "723"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999759232074737, 0.844094755500273, 0.802867307548619,      0.802104409066636, 0.31699466005107, 0.217163179461451, 0.159287653324644,      0.154326202331455, 0.0999648967356412, 0.0923497819628509,      0.0859742147435871, 0.0532280953837524, 0.042524281937031,      0.0286883892005957, 0.0136660172611804, 0.010460251408053,      0.00787968369815397, 0.00019501122089165, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1466912587 
R squared (OOB):                  0.3990003 

$Forests[[51]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 5e+05, 535000,      483000, 553000, 520000, 518000, 495000, 537000, 412000, 455000,      362500, 360000, 455000, 393000, 420000, 468000, 365000, 448000,      450000), floor_area_sqm = c(104, 93, 93, 93, 93, 93, 93,      93, 93, 104, 112, 103, 84, 113, 103, 106, 106, 84, 116, 106     ), storey_order = c(3L, 3L, 3L, 2L, 4L, 3L, 2L, 2L, 4L, 2L,      1L, 3L, 3L, 5L, 2L, 3L, 5L, 4L, 3L, 4L), remaining_lease_mths = c(871,      1131, 1131, 1129, 1134, 1133, 1132, 1131, 1128, 878, 896,      819, 811, 824, 818, 874, 863, 787, 827, 834), PROX_CBD = c(14.0236082538335,      13.8777465201196, 13.9851487819813, 13.9851487819813, 13.8021184722805,      13.7835124985007, 14.0392008059995, 14.1234549986629, 14.1022978560303,      14.1313829663274, 14.0913802169285, 14.3801998083441, 14.7472020389823,      14.8805910833212, 14.8805910833212, 13.629257933267, 13.629257933267,      13.5012180894848, 15.1039483662242, 15.1256206124729), PROX_ELDERLYCARE = c(1.09340394122649,      1.14875617578224, 1.27246652758392, 1.27246652758392, 1.08391670289184,      1.04590518035641, 1.32747908409073, 1.35242241046818, 1.39999761805574,      0.836104821253693, 1.71411655426264, 0.709377020411434, 1.19052284520552,      1.53481387371296, 1.53481387371296, 0.207468408301612, 0.207468408301612,      0.126566715598502, 1.55233595008815, 1.5866097118695), PROX_HAWKER = c(0.594999289424802,      0.709523473368326, 0.59565400543288, 0.59565400543288, 0.792084042786722,      0.817574416707151, 0.543253862226502, 0.458626901673037,      0.488105393549706, 0.73352935155883, 0.659732742059419, 0.928921275219278,      0.606039227085063, 0.395563323563994, 0.395563323563994,      1.4012681206183, 1.4012681206183, 1.32455892398921, 0.672854909342646,      0.674198133913936), PROX_MRT = c(0.469886084443941, 0.526263367583387,      0.390641440388092, 0.390641440388092, 0.615458599020507,      0.648112836468654, 0.327704984287647, 0.250036690549804,      0.255700458734308, 0.735653331318593, 0.410797330392975,      1.02650412956774, 0.807097621625513, 0.650195396152393, 0.650195396152393,      0.681065013996815, 0.681065013996815, 0.54422435083218, 0.927742831261867,      0.930587839854138), PROX_PARK = c(0.504422356794811, 0.548712671125698,      0.580591669210194, 0.580591669210194, 0.476945111703218,      0.438074957540257, 0.547177414231792, 0.469588575534173,      0.52092144022497, 0.463826523913091, 0.524242894978874, 0.71485218383349,      0.432698189125414, 0.355836862982211, 0.355836862982211,      0.403276931712581, 0.403276931712581, 0.593866981909781,      0.613453702116727, 0.625625874274951), PROX_GOOD_PRISCH = c(2.51794344218072,      2.41902859908312, 2.55482099432271, 2.55482099432271, 2.33081910479479,      2.3007469286795, 2.61966269686357, 2.69456588548322, 2.69832814229385,      2.52734391167264, 2.83541955823977, 2.72778429145315, 3.13467644284063,      3.33079371618761, 3.33079371618761, 1.96779323327463, 1.96779323327463,      1.8351788996921, 3.51513652285447, 3.54140201350838), PROX_MALL = c(0.418819234777705,      0.498678106329343, 0.37312896686832, 0.37312896686832, 0.585717052475653,      0.615576551193732, 0.316340524018432, 0.232476208076891,      0.257523814996123, 0.66282583229379, 0.471401908473598, 0.949257633150117,      0.738705771798207, 0.390496575840073, 0.390496575840073,      1.12429495075828, 1.12429495075828, 0.956400108312903, 0.472438990852491,      0.445444903624544), PROX_CHAS = c(0.151261605672147, 0.133705064347241,      0.0604900109870272, 0.0604900109870272, 0.221659659627321,      0.253975316505048, 0.101753514952091, 0.147334233235439,      0.177701329016163, 0.528800676490504, 0.471401941314913,      0.453083161817035, 0.19051372613691, 0.448788349522024, 0.448788349522024,      0.260044927245007, 0.260044927245007, 0.0648495538885981,      0.353464796953762, 0.387886097439527), PROX_SUPERMARKET = c(0.151260689076964,      0.133704798830233, 0.0604908810371704, 0.0604908810371704,      0.221659301316653, 0.253974877653299, 0.101754383553332,      0.147334782275979, 0.177702101069216, 0.528799775767506,      0.471402360745676, 0.513065398645433, 0.326764101800336,      0.447693008221967, 0.447693008221967, 0.288903462518554,      0.288903462518554, 0.329742543966106, 0.429218479578941,      0.411626017932148), WITHIN_350M_KINDERGARTEN = c(0L, 0L,      1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 2L, 0L, 3L, 2L, 2L, 3L, 3L,      1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(4L, 2L, 3L, 3L, 2L,      2L, 4L, 4L, 4L, 3L, 1L, 3L, 2L, 3L, 3L, 6L, 6L, 5L, 2L, 2L     ), WITHIN_350M_BUS = c(12L, 8L, 8L, 8L, 5L, 6L, 10L, 13L,      11L, 6L, 12L, 2L, 9L, 5L, 5L, 6L, 6L, 7L, 7L, 6L), WITHIN_1KM_PRISCH = c(2L,      2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L,      2L, 4L, 3L, 3L), DNeighbour = c(0, 177.568253453581, 206.712374868755,      211.532097000134, 227.984497947573, 232.887508646248, 244.899768989244,      262.312581808896, 307.767035914565, 377.610926585038, 644.537366655328,      766.479547417181, 809.976650531929, 857.318035088585, 865.3828846282,      891.461649705401, 894.651109620987, 1100.37946341189, 1100.73293924607,      1117.52271103547)), row.names = c("51", "579", "819", "938",      "275", "380", "218", "212", "815", "695", "352", "3", "136",      "852", "639", "503", "415", "264", "188", "457"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.950142487329049, 0.932740104261504, 0.929624898472169,      0.918492987874414, 0.915028107744727, 0.906257103503855,      0.892842260620626, 0.85406100104959, 0.784683429894047, 0.44536015558914,      0.280451938403835, 0.22531151653082, 0.169304663238119, 0.160273434675187,      0.13224498286148, 0.128948122838634, 0.000926927012074291,      0.000889379976393906, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1924287112 
R squared (OOB):                  0.4695452 

$Forests[[52]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 293000, 355000,      338000, 303888, 335000, 340000, 325000, 362000, 340000, 370000,      320000, 336000, 348000, 326000, 416000, 380000, 370000, 380000,      360000), floor_area_sqm = c(87, 86, 94, 94, 90, 90, 102,      90, 94, 90, 95, 91, 90, 95, 101, 93, 93, 93, 93, 93), storey_order = c(5L,      1L, 4L, 2L, 5L, 5L, 2L, 4L, 4L, 4L, 5L, 1L, 2L, 1L, 1L, 6L,      2L, 1L, 2L, 2L), remaining_lease_mths = c(1004, 1006, 1070,      1076, 1008, 998, 968, 973, 976, 1011, 977, 980, 966, 968,      942, 1132, 1132, 1125, 1136, 1135), PROX_CBD = c(18.9558501171738,      18.9558501171738, 18.9417612550563, 18.893500205596, 19.0279685600245,      18.976831626196, 18.6342583478867, 18.5353901232527, 18.3273029006797,      18.5954829873069, 18.2449080671561, 18.4122801485573, 18.263890012402,      18.0323194354466, 17.6460086713989, 18.2305685201872, 18.1279148711176,      18.2305685201872, 18.1376577985599, 18.1376577985599), PROX_ELDERLYCARE = c(3.04148171914245,      3.04148171914245, 3.09832013994742, 3.10102691254995, 3.26154359027314,      3.28231449363414, 2.72992435028626, 3.18651864771223, 2.7120525382807,      3.21245115339435, 2.54228790651909, 3.05606256580079, 2.93603771613334,      2.88259030935981, 2.69583292953839, 2.5602844754638, 2.51087611030153,      2.5602844754638, 2.49441526227585, 2.49441526227585), PROX_HAWKER = c(1.03425383708264,      1.03425383708264, 0.981837341088666, 0.926259022488312, 0.990561993667382,      0.923592674397851, 0.947673142820091, 0.491879726860981,      0.729165861663657, 0.468862715548992, 0.859760115655931,      0.284310921582288, 0.135415800319106, 0.459055170630849,      0.543702723258422, 0.555435817196439, 0.487567663506197,      0.555435817196439, 0.528296501129656, 0.528296501129656),          PROX_MRT = c(0.87145727172961, 0.87145727172961, 0.831940647091921,          0.777214903782309, 0.880588410111357, 0.822784932057268,          0.717283111076423, 0.375479822529604, 0.470919202147399,          0.485913485771313, 0.597257652192269, 0.34633408104891,          0.269488316579814, 0.228324090957444, 0.514213843772978,          0.810957189319413, 0.74928998522808, 0.810957189319413,          0.789676869843372, 0.789676869843372), PROX_PARK = c(1.64892029001525,          1.64892029001525, 1.58031197441792, 1.53153013283021,          1.5140651316136, 1.4431849310919, 1.68545701841371, 1.15334089580929,          1.51959638840156, 0.966363588730214, 1.66089445329223,          0.872887750975024, 0.826451671225411, 1.25712692932115,          0.873328686748902, 0.269300347674678, 0.317511189836545,          0.269300347674678, 0.276326305891841, 0.276326305891841         ), PROX_GOOD_PRISCH = c(9.30119351841798, 9.30119351841798,          9.2863930262578, 9.23793284137011, 9.37202430611723,          9.32093903042593, 8.98296462693421, 8.87993213136606,          8.6741083827629, 8.94334048589707, 8.59525181849715,          8.76068312560123, 8.61262144573917, 8.37645219680457,          7.99076792195858, 8.60245346442475, 8.49670627721454,          8.60245346442475, 8.50873818737911, 8.50873818737911),          PROX_MALL = c(0.918650450187965, 0.918650450187965, 0.886414086630636,          0.833273819621717, 0.951179576311185, 0.897736377807805,          0.719594778264249, 0.460655941356388, 0.437943127987326,          0.594166870248601, 0.537890109309282, 0.458641270318743,          0.374925429890344, 0.12060760008054, 0.441435937338541,          0.89702383385846, 0.819155488013484, 0.89702383385846,          0.814982856398022, 0.814982856398022), PROX_CHAS = c(0.067384164825537,          0.067384164825537, 0.0880613138842689, 0.143741090403558,          0.184556275618948, 0.237819060284531, 0.294409401108374,          0.165734202429707, 0.319053536773146, 0.186588167457245,          0.274147949012332, 0.182706372800723, 0.0541347282504724,          0.120607657412939, 0.441435968696221, 0.080524556228062,          0.0462043949149095, 0.080524556228062, 0.0547102897319272,          0.0547102897319272), PROX_SUPERMARKET = c(0.102761308178796,          0.102761308178796, 0.175726554209016, 0.218188374485768,          0.3125742651816, 0.322795161753339, 0.247755307750907,          0.167679568764744, 0.198027823348086, 0.195869762300225,          0.161035318973668, 0.182706945219403, 0.0541355525390397,          0.119017844673248, 0.446325988440648, 0.512175097136782,          0.467157902200199, 0.512175097136782, 0.504768063926141,          0.504768063926141), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 2L, 3L, 1L, 2L, 0L, 2L, 0L, 2L, 0L, 2L, 1L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 2L, 4L, 4L, 7L, 6L, 4L, 4L, 7L, 5L, 4L, 2L, 3L,          3L, 3L, 2L, 2L), WITHIN_350M_BUS = c(8L, 8L, 8L, 8L,          6L, 9L, 5L, 12L, 12L, 10L, 9L, 12L, 11L, 14L, 11L, 7L,          10L, 7L, 10L, 10L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 3L, 2L, 2L,          2L, 2L, 2L), DNeighbour = c(0, 4.03390690660277, 75.0593716392864,          113.147667511588, 221.791303930774, 257.401014135597,          369.001026045409, 536.004768621693, 628.149003327911,          681.709614529374, 750.497281056441, 806.769260713116,          915.950368917654, 931.927143657905, 1349.50886184994,          1379.27135937859, 1384.17805425317, 1384.86159689916,          1411.61734894464, 1422.32649360139)), row.names = c("52",      "951", "932", "745", "570", "915", "7", "838", "873", "901",      "5", "722", "548", "354", "456", "401", "461", "770", "285",      "378"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999983912765497,      0.994437934639725, 0.987383286584434, 0.951959454218771,      0.935571015630928, 0.86991729772308, 0.736135741108599, 0.647958387464362,      0.593330112080639, 0.520678420019585, 0.460041624105604,      0.342563515912896, 0.325693486310736, 0.00995430083651771,      0.00355520205246791, 0.00280083711762245, 0.00270268172890644,      0.000225058205222288, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       563631857 
R squared (OOB):                  0.3436457 

$Forests[[53]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(388000, 365000, 415000,      432000, 410000, 420000, 333000, 335000, 305000, 313000, 305000,      360000, 315000, 325000, 323000, 338000, 349000, 339000, 371000,      320000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 99, 100,      99, 99, 99, 99, 102, 91, 101, 102, 103, 102, 100, 84), storey_order = c(1L,      1L, 2L, 4L, 2L, 1L, 3L, 4L, 4L, 4L, 1L, 3L, 2L, 2L, 1L, 4L,      2L, 3L, 2L, 4L), remaining_lease_mths = c(1134, 1135, 1125,      1123, 1136, 1121, 927, 927, 930, 918, 921, 915, 913, 970,      937, 922, 832, 923, 918, 885), PROX_CBD = c(17.8160591469996,      17.8160591469996, 17.7609329148819, 17.7152334804069, 17.7152334804069,      17.7152334804069, 17.6933534103443, 17.5934100264964, 17.5508688704121,      17.8728040148932, 17.9733391318796, 17.6482187406162, 17.9994058772431,      17.7083177660008, 17.4093430047218, 18.1611534549189, 18.0642207733449,      17.9456645257603, 17.9318121245061, 18.3433564216417), PROX_ELDERLYCARE = c(0.101440000613482,      0.101440000613482, 0.0656405943898966, 0.0982899037000713,      0.0982899037000713, 0.0982899037000713, 0.174626049595048,      0.183364759720919, 0.169110695114153, 0.330981516384048,      0.376016337241346, 0.399377154365588, 0.430537495183344,      0.378187975507624, 0.347622879353981, 0.519233937445895,      0.558648465009425, 0.476454782767532, 0.559180828327224,      0.623669944895056), PROX_HAWKER = c(0.755409785256781, 0.755409785256781,      0.769612072642938, 0.815736811633103, 0.815736811633103,      0.815736811633103, 0.89059259132002, 0.860123145519879, 0.736171211400498,      0.446535534086157, 0.501520555884575, 1.11261554439583, 0.472244893923117,      0.340346390827249, 0.646263997619536, 0.617364695979906,      1.20831273824173, 0.3648710200987, 1.18812307179958, 0.960648791795978     ), PROX_MRT = c(0.729659889526201, 0.729659889526201, 0.714624513867521,      0.674833365376197, 0.674833365376197, 0.674833365376197,      0.606842528225389, 0.675234243169572, 0.804998329325227,      0.4868918768976, 0.52882455357406, 0.417091391951799, 0.492638498779759,      0.403335562748004, 0.722831181419355, 0.623413162025338,      0.387700307898407, 0.385567417899789, 0.256828620430729,      0.899458799363821), PROX_PARK = c(1.49250729308795, 1.49250729308795,      1.52091098886828, 1.52614967260321, 1.52614967260321, 1.52614967260321,      1.49905344652453, 1.60355051242194, 1.71737354643835, 1.69875568186822,      1.62685700377268, 1.38656874841243, 1.65421298847909, 1.86766019581863,      1.92330050908574, 1.52418818882418, 1.04306097562022, 1.76180373116006,      1.11695175135574, 1.17596756648915), PROX_GOOD_PRISCH = c(8.44175881664207,      8.44175881664207, 8.39120163011403, 8.35538963357137, 8.35538963357137,      8.35538963357137, 8.34857469941546, 8.24279341902993, 8.17476856172454,      8.43952013253886, 8.54142359534323, 8.34983568407236, 8.5589292690065,      8.26299778187914, 8.00696366683488, 8.72758527833631, 8.76549326341746,      8.49089982759618, 8.65275846320069, 8.95760590087653), PROX_MALL = c(0.183177100903513,      0.183177100903513, 0.147411017927622, 0.158599011552442,      0.158599011552442, 0.158599011552442, 0.223321337745784,      0.188384425612312, 0.109574351562212, 0.330972758922268,      0.395841490391381, 0.439097430243665, 0.446560923090423,      0.335143296665789, 0.265229996889848, 0.475604736810637,      0.424594513900518, 0.428159644756295, 0.417130987397582,      0.22079632378696), PROX_CHAS = c(0.183177099178452, 0.183177099178452,      0.14741100268466, 0.158598978424062, 0.158598978424062, 0.158598978424062,      0.21485891447712, 0.151781240761386, 0.048268048492383, 0.330972805611547,      0.364030465322827, 0.414359256629807, 0.324811070171065,      0.30242004444134, 0.23105278557526, 0.405258493214775, 0.124680964632411,      0.218909691095897, 0.259891808560044, 0.167893491583302),          PROX_SUPERMARKET = c(0.137568853383185, 0.137568853383185,          0.113022549454425, 0.144345834884574, 0.144345834884574,          0.144345834884574, 0.218378438252518, 0.209139790637019,          0.15801430638391, 0.300218301814749, 0.356071330024396,          0.441697647833666, 0.408691343873882, 0.332189289926598,          0.313773352526138, 0.475604214408431, 0.424593495373258,          0.365864675212809, 0.438907970807184, 0.220795796105544         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(8L, 8L, 8L, 6L, 6L, 6L,          5L, 6L, 7L, 4L, 3L, 3L, 4L, 6L, 7L, 5L, 2L, 3L, 3L, 8L         ), WITHIN_350M_BUS = c(15L, 15L, 10L, 12L, 12L, 12L,          13L, 12L, 12L, 8L, 11L, 9L, 9L, 7L, 13L, 10L, 7L, 8L,          9L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 6L, 7L, 7L, 7L,          8L, 8L, 6L, 7L, 7L, 7L, 7L, 5L, 5L, 6L, 6L, 6L, 7L, 4L         ), DNeighbour = c(0, 7.6310239272324, 52.673147829193,          115.312396736428, 116.61913093076, 122.768267515329,          185.19101503512, 238.228647556737, 261.124435866134,          335.585860363464, 356.862591086406, 394.557778837368,          410.712225549972, 432.033764866121, 451.231427141812,          467.471475865386, 474.895091387942, 477.106652113291,          500.613756946122, 530.036106684985)), row.names = c("53",      "402", "365", "298", "13", "289", "112", "419", "438", "992",      "179", "891", "177", "544", "174", "330", "773", "20", "976",      "953"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999585485522593,      0.980346140828179, 0.90757917728083, 0.905524884086741, 0.895580282396725,      0.77075122936155, 0.636784928638152, 0.573491150050661, 0.35896467478397,      0.29887470518116, 0.198801596830453, 0.159654011325531, 0.112632653243205,      0.0757629809010849, 0.0493478644050027, 0.0389045462059536,      0.0360043591713136, 0.011650784956053, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       557695110 
R squared (OOB):                  0.6598432 

$Forests[[54]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 345000, 295000,      325000, 325000, 310000, 370000, 350000, 320000, 323000, 370000,      420000, 380000, 420000, 345000, 345000, 343000, 385000, 336000,      335000), floor_area_sqm = c(126, 104, 105, 90, 104, 104,      103, 104, 106, 104, 93, 92, 93, 93, 102, 103, 102, 104, 104,      101), storey_order = c(2L, 4L, 1L, 4L, 1L, 1L, 4L, 2L, 1L,      3L, 1L, 6L, 1L, 3L, 2L, 5L, 5L, 1L, 4L, 2L), remaining_lease_mths = c(879,      862, 870, 912, 872, 879, 881, 863, 851, 956, 1139, 1104,      1138, 1139, 935, 944, 935, 863, 958, 933), PROX_CBD = c(16.1769042321823,      16.2035530975804, 16.027241877126, 16.3759795802925, 15.9652370890998,      15.9652370890998, 15.9139497277605, 15.9139497277605, 15.9983120826665,      16.3822081442679, 15.8422849591204, 16.0058570800758, 15.9652529785268,      15.9652529785268, 16.0814208174046, 15.6615925135045, 15.6558233565228,      16.2492480828887, 16.2237683329895, 16.135389698045), PROX_ELDERLYCARE = c(0.382017171357745,      0.462412199513001, 0.401697186037664, 0.437652472603004,      0.372962984236141, 0.372962984236141, 0.471057675436291,      0.471057675436291, 0.541237256511776, 0.317064501792404,      0.241353796602158, 0.0922651494707867, 0.120425003900544,      0.120425003900544, 0.129424766752979, 0.372854461013726,      0.268146833149962, 0.836071823435323, 0.233700982090528,      0.214357316635524), PROX_HAWKER = c(2.55739022352562, 2.51024920878341,      2.44772974464855, 2.71828200917597, 2.45115541279444, 2.45115541279444,      2.34701070601947, 2.34701070601947, 2.1818192257633, 2.76474077583521,      2.37354129025836, 2.393526972262, 2.36922200206298, 2.36922200206298,      2.40830007300065, 2.39243139523594, 2.27183532495414, 2.17952287051713,      2.48966457045008, 2.40272097648418), PROX_MRT = c(0.674610535324426,      0.65447898159524, 0.538616250543522, 0.870089952652958, 0.52727924180445,      0.52727924180445, 0.424613907535265, 0.424613907535265, 0.364450998520493,      1.02897813643603, 0.721786411333246, 0.910164710677637, 0.886101680623091,      0.886101680623091, 1.00126993569874, 0.499275570100955, 0.370313443989706,      0.290093838525113, 1.11461848888664, 1.09323648573999), PROX_PARK = c(1.39748820590438,      1.32632916723033, 1.35146177086674, 1.49155883505512, 1.39203600576681,      1.39203600576681, 1.30337713627377, 1.30337713627377, 1.05372411430502,      1.73717122008599, 1.42084473696832, 1.6216647961598, 1.58077599563476,      1.58077599563476, 1.7154732425778, 1.19384102986047, 1.16446299803307,      0.886796559947336, 1.86547668850022, 1.7942088991982), PROX_GOOD_PRISCH = c(6.23706483495109,      6.27623366830878, 6.09534233388474, 6.4246273009838, 6.02718330754398,      6.02718330754398, 5.99275530970335, 5.99275530970335, 6.12314921566155,      6.39421933734494, 5.8611108446886, 6.00411547246196, 5.96493131981452,      5.96493131981452, 6.0710937852797, 5.71328270316738, 5.73062396037349,      6.4097782056775, 6.20687623278084, 6.11593822040069), PROX_MALL = c(0.292722816398213,      0.370949542105629, 0.275346491924215, 0.409369768138594,      0.238316612740974, 0.238316612740974, 0.338688619983659,      0.338688619983659, 0.45623102577182, 0.374078152135628, 0.177442774283774,      0.187934498474296, 0.18546430077947, 0.18546430077947, 0.261655001598387,      0.238209845871265, 0.155488337640192, 0.355568776497803,      0.36788016328609, 0.350342319635), PROX_CHAS = c(0.292722768811081,      0.370949494121523, 0.275346446899555, 0.409369730284335,      0.238316573509266, 0.238316573509266, 0.338688583692834,      0.338688583692834, 0.290215734280461, 0.374078140160073,      0.177442804982894, 0.187934543511456, 0.185464348558652,      0.185464348558652, 0.26165503944411, 0.238209795937414, 0.155488306171375,      0.121251060497272, 0.367880188789974, 0.350342354631045),          PROX_SUPERMARKET = c(0.254565333705719, 0.235998227482853,          0.141316208924405, 0.389543937857684, 0.177610526119132,          0.177610526119132, 0.112474666082431, 0.112474666082431,          0.162067612034701, 0.357574924056941, 0.197153631350279,          0.197516435852273, 0.198556813498254, 0.198556813498254,          0.265481412722203, 0.238833101010687, 0.152010752053411,          0.350013224352412, 0.364697803989784, 0.352223797136593         ), WITHIN_350M_KINDERGARTEN = c(5L, 3L, 3L, 2L, 3L, 3L,          3L, 3L, 1L, 2L, 2L, 1L, 1L, 1L, 0L, 3L, 4L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(8L, 5L, 8L, 2L, 6L, 6L,          9L, 9L, 6L, 1L, 7L, 5L, 5L, 5L, 5L, 5L, 8L, 4L, 2L, 2L         ), WITHIN_350M_BUS = c(9L, 7L, 12L, 5L, 14L, 14L, 15L,          15L, 12L, 9L, 15L, 14L, 15L, 15L, 13L, 16L, 14L, 9L,          9L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L, 3L, 3L,          3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 2L         ), DNeighbour = c(0, 74.8832134879892, 149.788394397886,          205.671622761626, 206.892973208596, 208.192758412288,          270.383130366503, 271.918448539409, 369.549113122299,          371.169030067126, 446.923522606094, 463.043929382517,          473.259012412708, 479.423693050437, 506.76824231116,          517.226015745264, 526.302195179672, 540.293312088346,          547.895375048512, 572.590377184868)), row.names = c("54",      "806", "463", "974", "566", "490", "927", "959", "888", "173",      "585", "154", "913", "137", "890", "572", "450", "711", "394",      "88"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.966085849899276,      0.867816294082582, 0.758604286202283, 0.755929442161476,      0.75307066211979, 0.603755945500758, 0.599815896757191, 0.340426102308789,      0.336168796488527, 0.152704421411637, 0.119738351760183,      0.100400278898635, 0.0893692666457262, 0.0469568846384931,      0.0338681194271323, 0.0240699142636025, 0.0120184785295047,      0.00712286368156749, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1130240835 
R squared (OOB):                  0.03799811 

$Forests[[55]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(431000, 395000, 425000,      426000, 395000, 410000, 420000, 428000, 325000, 3e+05, 360000,      333000, 330000, 295000, 355000, 285000, 308000, 292000, 330000,      3e+05), floor_area_sqm = c(92, 92, 92, 92, 90, 92, 90, 90,      84, 84, 99, 103, 103, 106, 103, 92, 84, 104, 103, 99), storey_order = c(9L,      4L, 6L, 6L, 5L, 2L, 8L, 8L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 1L,      1L, 2L, 2L, 1L), remaining_lease_mths = c(1010, 1010, 1006,      1012, 1010, 1004, 1011, 1008, 783, 797, 796, 788, 800, 825,      793, 697, 795, 828, 937, 697), PROX_CBD = c(14.0603534116893,      14.0603534116893, 14.0603534116893, 14.0324943086614, 13.990153115514,      14.000256381606, 13.8798013735997, 13.8412030491349, 14.1279251783367,      14.3169519114025, 13.8977069202737, 14.3532733654858, 13.46147060752,      14.7220636963442, 13.46147060752, 14.6519123293037, 13.3304860768802,      15.1374510187917, 14.5165027597446, 14.8036441916204), PROX_ELDERLYCARE = c(1.50084223071099,      1.50084223071099, 1.50084223071099, 1.51384309451853, 1.56992496550613,      1.50178268661881, 1.77270985488013, 1.74703283433278, 1.66641228888996,      1.55261218152075, 1.56746404607568, 1.6760601574403, 1.01995663096129,      0.327768156942021, 1.01995663096129, 0.254409923718011, 0.85382998667073,      0.426629771798313, 0.389463724969334, 0.0965145667339982),          PROX_HAWKER = c(1.69193386873811, 1.69193386873811, 1.69193386873811,          1.73133481154049, 1.69002608854433, 1.77005964815816,          1.47024255459416, 1.43519165592487, 1.24304803992561,          1.19367588944735, 1.04237506554324, 0.99569743308136,          1.03983060555389, 1.39864823048803, 1.03983060555389,          1.21550185558774, 1.09459947163448, 1.49196951764411,          1.0617726338971, 1.07372228066705), PROX_MRT = c(0.836549486170002,          0.836549486170002, 0.836549486170002, 0.85175230125279,          0.789673249073619, 0.865600228728207, 0.523014705157119,          0.462396576385451, 0.59155533687368, 0.753004841751307,          0.300373388684648, 0.756418829435307, 0.367668143276235,          0.0523025726452692, 0.367668143276235, 0.218405848235923,          0.525688124362732, 0.164193456307044, 0.0901878473788138,          0.363746184676816), PROX_PARK = c(0.66093693759156, 0.66093693759156,          0.66093693759156, 0.65310707550057, 0.716145735764812,          0.652876507033438, 0.782127938386311, 0.752068597068081,          1.00515750023779, 1.00962818739137, 0.782220037546154,          1.20426051281307, 0.582693033366388, 0.432331111477529,          0.582693033366388, 0.325486875199719, 0.620743454357064,          0.786093050092807, 0.278686390612803, 0.497172938499345         ), PROX_GOOD_PRISCH = c(4.09775909461572, 4.09775909461572,          4.09775909461572, 4.07805978762992, 4.0269654833207,          4.05408625233137, 3.87304276717541, 3.82728738248792,          4.09179045416031, 4.27446656255715, 3.83525569342672,          4.29145341198416, 3.38131302543864, 4.99661753747661,          3.38131302543864, 4.99149337529414, 3.24954726475941,          5.37568176340172, 4.93093863547281, 5.17691715074399),          PROX_MALL = c(1.38265334141638, 1.38265334141638, 1.38265334141638,          1.34360210764349, 1.32125061115982, 1.30130189944441,          1.33861894221302, 1.33339622609195, 1.48884664162065,          1.50622914679999, 1.14150204308926, 1.45738633765159,          0.644549177151603, 0.343882807046916, 0.644549177151603,          0.377416550632833, 0.513372166694422, 0.249545786638779,          0.38830118917563, 0.278400001713995), PROX_CHAS = c(0.266609427013402,          0.266609427013402, 0.266609427013402, 0.288579392766018,          0.231188025602735, 0.313291309929199, 0.058882652003164,          0.116038559859119, 0.283027750434604, 0.149961616171305,          0.162936326565904, 0.0428610630237518, 0.348399033159575,          0.141205029857343, 0.348399033159575, 0.0736014920224838,          0.472814153962233, 0.193150290660334, 0.0918929757518676,          0.190291087196022), PROX_SUPERMARKET = c(0.266609427014493,          0.266609427014493, 0.266609427014493, 0.288579392767071,          0.231188025603748, 0.313291309930196, 0.0588826520022197,          0.116038559858059, 0.283027750434408, 0.277976240278344,          0.162936951836525, 0.400567683079086, 0.356146193343619,          0.141204847242777, 0.356146193343619, 0.128878263549785,          0.510727353781082, 0.200567401454574, 0.354026220875794,          0.190291125096353), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 0L, 1L, 1L, 2L, 3L, 0L, 2L, 1L, 0L, 1L,          1L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 1L, 1L, 1L, 2L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L,          4L, 5L, 5L, 3L), WITHIN_350M_BUS = c(4L, 4L, 4L, 4L,          4L, 3L, 5L, 5L, 10L, 9L, 5L, 10L, 6L, 8L, 6L, 9L, 5L,          11L, 7L, 9L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L,          2L, 2L, 3L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 3L, 2L, 2L,          3L), DNeighbour = c(0, 1.84898643840949, 4.99605916073533,          42.540825064358, 67.9032948451083, 95.4066980891626,          317.02205940295, 379.96569798704, 449.716549530746, 556.135856521425,          728.941453755019, 750.90202032239, 1198.18085607514,          1202.66920692614, 1206.22578411348, 1329.83624198568,          1364.54319651613, 1439.49918979642, 1447.678470406, 1511.46833672799         )), row.names = c("55", "805", "241", "675", "276", "726",      "877", "678", "893", "650", "479", "697", "526", "786", "332",      "986", "61", "387", "592", "995"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999997007053079, 0.999978148328627, 0.998416304598199,      0.995967493309502, 0.99204713588917, 0.913949910938946, 0.877601438422964,      0.830781586021748, 0.747562797793153, 0.588921271880344,      0.567290308275337, 0.138075302101984, 0.13459211750182, 0.13185454011435,      0.0510298804410414, 0.0342119051596604, 0.00864222075784149,      0.00682716175204061, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       998351188 
R squared (OOB):                  0.6537966 

$Forests[[56]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(421000, 410000, 425000,      392000, 315000, 350000, 7e+05, 670000, 4e+05, 430000, 540000,      415000, 350880, 475000, 374000, 385000, 388000, 505000, 5e+05,      340000), floor_area_sqm = c(93, 93, 108, 103, 91, 105, 92,      92, 104, 91, 92, 92, 91, 93, 103, 104, 104, 92, 92, 104),          storey_order = c(4L, 4L, 3L, 2L, 1L, 1L, 4L, 5L, 2L,          4L, 6L, 2L, 2L, 4L, 2L, 4L, 3L, 4L, 3L, 1L), remaining_lease_mths = c(789,          788, 820, 833, 790, 837, 1126, 1121, 822, 777, 1142,          1130, 785, 1130, 862, 740, 751, 1051, 1049, 869), PROX_CBD = c(10.8005053894847,          10.7402382849343, 10.7884209511687, 10.8307618753175,          10.6917699702976, 10.9742090734032, 11.1573644039326,          11.0595651330709, 10.8294299245227, 10.4167519306418,          11.3687765497058, 11.3687765497058, 10.3813809316332,          11.4536743231806, 11.0478583208432, 10.2659136784881,          10.2659136784881, 11.4388659085475, 11.4975151935682,          10.9782438935663), PROX_ELDERLYCARE = c(1.11154389564577,          1.05196585123006, 1.11323464510705, 1.12487398858542,          1.07660186858624, 0.852070403211021, 1.34447435494956,          1.41694161867716, 0.925828280583076, 0.852176862644424,          1.27208236570677, 1.27208236570677, 0.833489789321986,          1.19895989384568, 0.694826263841934, 0.737818764037149,          0.737818764037149, 0.529438756707198, 0.485429735975203,          0.748731634955849), PROX_HAWKER = c(0.918995125488027,          1.02652926791064, 0.812377793689625, 0.775872885593274,          1.35937058559257, 0.487483409830997, 1.10011050744246,          1.19495083476736, 0.558859907936318, 1.55256346901264,          1.07923254025891, 1.07923254025891, 1.5910354083573,          1.02903329925728, 0.33156405975617, 1.65941342147148,          1.65941342147148, 0.319632581294072, 0.320302217757218,          0.421987441153261), PROX_MRT = c(0.566932323762424, 0.546812793492647,          0.526269526678983, 0.568072215940967, 0.753106278920522,          0.534522073584246, 0.876646963171676, 0.991329354536752,          0.633065114071651, 0.686459009674335, 0.671331594421278,          0.671331594421278, 0.699917284291438, 0.573574303209013,          0.413251174688675, 0.684374477874155, 0.684374477874155,          0.264110896255266, 0.24936700359253, 0.516121726350597         ), PROX_PARK = c(0.370936327890873, 0.401614025373747,          0.467051942358664, 0.443949121553361, 0.536819237128991,          0.623434891123849, 0.189026691537682, 0.275833477585303,          0.822296725898933, 0.613918856542286, 0.294690087030438,          0.294690087030438, 0.616002692100522, 0.341254943367627,          0.855372307789476, 0.570788416471153, 0.570788416471153,          0.653351036954048, 0.698336840868775, 1.01560706627581         ), PROX_GOOD_PRISCH = c(2.34700895725274, 2.39141973384207,          2.2131785217075, 2.22887532154294, 2.68318776685765,          2.09882394138718, 2.83177349547833, 2.8385375863655,          1.88031331185984, 2.62113030487697, 2.95589454100459,          2.95589454100459, 2.6286340652406, 2.96812409551872,          1.96973866183315, 2.58742850928016, 2.58742850928016,          2.45055199705462, 2.48345794754568, 1.81228643023267),          PROX_MALL = c(0.363372953846058, 0.344610557976029, 0.340751907865098,          0.384053234723219, 0.459259689573629, 0.606835933426222,          0.831480717149744, 0.76911725394793, 0.43093778326398,          0.350991485118426, 0.814743407183115, 0.814743407183115,          0.365493224544838, 0.714729745574342, 0.400154220571097,          0.364765391124967, 0.364765391124967, 0.840491697823826,          0.805279144871904, 0.231229629812008), PROX_CHAS = c(0.111289200730163,          0.106045676778667, 0.260152478655286, 0.2644107607892,          0.0626028682349028, 0.20965056306942, 0.0819321575559949,          0.0661119226245057, 0.0390568763467083, 0.302383860370021,          0.257507761616553, 0.257507761616553, 0.28517644723447,          0.31407050179696, 0.193330180912365, 0.204257711541377,          0.204257711541377, 0.210772889992189, 0.18789773503711,          0.23122963873357), PROX_SUPERMARKET = c(0.386863986973968,          0.357992185767737, 0.363982132031921, 0.407226974513028,          0.550262392018624, 0.477398814511427, 0.408274605358357,          0.444069124865739, 0.430936681100737, 0.519095500550079,          0.30094246041235, 0.30094246041235, 0.49431722643315,          0.345653574215055, 0.392366955335671, 0.384238743245603,          0.384238743245603, 0.189609627596398, 0.186124684843571,          0.231228589734032), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 0L, 1L,          1L, 1L, 0L, 0L, 2L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 4L, 3L, 2L, 3L, 3L, 4L, 6L, 3L, 3L, 6L, 2L, 2L, 6L,          6L, 4L, 4L, 5L), WITHIN_350M_BUS = c(9L, 6L, 8L, 11L,          7L, 8L, 6L, 9L, 11L, 9L, 10L, 10L, 10L, 8L, 7L, 8L, 8L,          7L, 8L, 9L), WITHIN_1KM_PRISCH = c(5L, 5L, 6L, 6L, 3L,          6L, 3L, 3L, 6L, 2L, 3L, 3L, 2L, 4L, 6L, 2L, 2L, 5L, 4L,          5L), DNeighbour = c(0, 100.982515698218, 160.924632279083,          171.797105663955, 455.387285607835, 476.46439164193,          487.502856752743, 490.533443116531, 605.261133966356,          625.203021416806, 659.919609601882, 662.935267822125,          665.992089111228, 706.832724110523, 727.621661868327,          737.805591555089, 740.430940805628, 766.877535331778,          819.756448350178, 858.77333130027)), row.names = c("56",      "6", "696", "743", "569", "239", "425", "407", "364", "480",      "876", "157", "626", "132", "694", "501", "77", "271", "553",      "317"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.972536726879952,      0.931003799746654, 0.921562042191847, 0.516683318650398,      0.479106316790606, 0.459340732015327, 0.453909074078286,      0.253271384044615, 0.220889482615661, 0.167684607563405,      0.163283764622114, 0.158862510057928, 0.104039559126477,      0.0795895612129285, 0.0685813008447375, 0.065852817531332,      0.0410328469729199, 0.00788585969843323, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4841425594 
R squared (OOB):                  0.5340241 

$Forests[[57]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(437000, 435000, 450000,      450000, 403000, 470000, 452000, 485000, 465000, 545000, 460000,      455000, 475000, 412000, 460000, 455000, 370000, 425000, 365000,      425000), floor_area_sqm = c(94, 94, 95, 94, 90, 93, 95, 95,      95, 93, 92, 92, 92, 90, 92, 93, 90, 92, 90, 90), storey_order = c(3L,      2L, 3L, 4L, 3L, 5L, 3L, 6L, 4L, 3L, 3L, 5L, 5L, 3L, 3L, 4L,      3L, 3L, 3L, 2L), remaining_lease_mths = c(1120, 1113, 1126,      1123, 1053, 1125, 1121, 1113, 1110, 1134, 1097, 1108, 1098,      1034, 1107, 1096, 997, 1059, 979, 1139), PROX_CBD = c(14.0691382395842,      14.0214886887106, 14.1366846915735, 14.0429369190019, 14.2313196249897,      14.2374266118925, 14.2856092918761, 14.2445424628862, 14.3101587663686,      14.4432157047801, 14.2694643570804, 14.2694643570804, 14.3437499696049,      13.9701294998534, 14.2518409016409, 14.3469943525049, 13.5299248791723,      13.6873856248974, 13.6373310118807, 14.4131933766039), PROX_ELDERLYCARE = c(1.08280856328681,      1.04333655871926, 1.17371591683522, 1.1015647640471, 1.23431696680562,      1.2819446304668, 1.29536834443332, 1.24643506877499, 1.29024298571696,      1.44181352445962, 1.14423906696184, 1.14423906696184, 1.14464302293932,      0.798789790509628, 0.985840321219444, 1.07571195137499, 0.737190256849548,      0.720975229682918, 0.753498484846986, 1.43140028556732),          PROX_HAWKER = c(1.21079813450924, 1.2014358291776, 1.09084844555913,          1.07710025413616, 1.20453145676494, 1.02089221118434,          1.14967766552968, 0.968852406622053, 0.961388959141492,          1.1926703176924, 0.826638245470088, 0.826638245470088,          0.74882220835846, 0.796241674024292, 0.656651462258042,          0.654543769257927, 1.28441999759135, 1.83406121528111,          1.08343538740726, 1.70733975651849), PROX_MRT = c(0.281224364060027,          0.325652198483679, 0.218319465176875, 0.324573358240557,          0.14509881944895, 0.148741201515391, 0.0748886383392391,          0.184117552261459, 0.148967878322013, 0.142722405117506,          0.30438768875815, 0.30438768875815, 0.217663394995295,          0.262922949537813, 0.189142279194464, 0.131478587775223,          0.189597864599581, 0.19923660487806, 0.0904459633140829,          0.160895515953214), PROX_PARK = c(0.468913262301943,          0.524931496780237, 0.474063272255088, 0.58019258504408,          0.30799989212087, 0.440474428767772, 0.297003339879563,          0.481320095248247, 0.444639968372477, 0.164631246691225,          0.599699049952129, 0.599699049952129, 0.636899975343007,          0.929619749314005, 0.785709089572823, 0.731552922713316,          0.695004999747215, 0.855123415409032, 0.802899104641211,          0.362779794623634), PROX_GOOD_PRISCH = c(5.07622831499557,          5.02043421457898, 5.09375212835948, 4.9857651679507,          5.24106386657147, 5.16870486361587, 5.27158847877433,          5.1542412945362, 5.21803047984022, 5.44062149940817,          5.12184985907385, 5.12184985907385, 5.1680916684458,          4.76155598853922, 5.03443000866885, 5.13548460888622,          4.45977917937361, 4.98236347160825, 4.47444600576345,          5.6363766911051), PROX_MALL = c(0.352184781664103, 0.399157770965225,          0.295276560881227, 0.401409437181884, 0.200492724858517,          0.22058685557285, 0.136646142991964, 0.248497232357685,          0.199960318099191, 0.0864828813466827, 0.351657486288216,          0.351657486288216, 0.38589862433106, 0.698652085628877,          0.535261743386166, 0.480981762762808, 0.598877544697789,          0.138188079312201, 0.719665126414215, 0.596976127865625         ), PROX_CHAS = c(0.167321001424632, 0.142774662207743,          0.0995517477546361, 0.0207330025336023, 0.200492722653611,          0.177995101264401, 0.136646133179357, 0.185564313785613,          0.199960275799137, 0.0864829242311455, 0.120456720485379,          0.120456720485379, 0.0401042229543167, 0.224338502615803,          0.121511881264649, 0.0578525184286013, 0.124645472322039,          0.138188055488585, 0.111923036871509, 0.168005379342294         ), PROX_SUPERMARKET = c(0.167319845962294, 0.142773459146917,          0.0995512052866983, 0.0207321820187816, 0.210915135620544,          0.177995229543633, 0.146294584623949, 0.185564776027004,          0.199173279096103, 0.0916346746399726, 0.244158473149448,          0.244158473149448, 0.165776473264822, 0.281017798180362,          0.121511691834874, 0.0704323341151683, 0.181636181040517,          0.147450463248511, 0.371011221099329, 0.168006305985119         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 1L, 0L, 0L,          0L, 1L, 1L, 0L, 1L, 1L, 1L, 2L, 2L, 1L, 4L, 1L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(8L, 6L, 8L, 6L, 6L, 8L,          6L, 9L, 8L, 4L, 10L, 10L, 8L, 7L, 10L, 7L, 5L, 6L, 6L,          4L), WITHIN_350M_BUS = c(9L, 9L, 8L, 9L, 6L, 6L, 8L,          7L, 6L, 5L, 9L, 9L, 8L, 13L, 9L, 8L, 8L, 7L, 11L, 6L),          WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 7L, 6L, 7L, 7L, 7L,          7L, 5L, 6L, 6L, 5L, 8L, 6L, 4L, 6L, 5L, 8L, 4L), DNeighbour = c(0,          51.5101853996313, 127.885766912709, 155.46661740137,          174.130687333259, 221.879236450328, 224.833988277636,          262.833367310117, 304.422637151863, 384.674060357155,          392.846054336548, 397.609046561803, 483.36399360723,          553.836326812797, 555.972832050457, 570.789386912737,          614.099996883879, 638.3277267291, 655.086898283547, 663.391617060559         )), row.names = c("57", "878", "76", "754", "283", "537",      "32", "349", "142", "240", "434", "470", "70", "301", "73",      "488", "165", "4", "660", "403"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.987978321694345, 0.92705612659289, 0.893175295294315, 0.86694973649324,      0.788784171762547, 0.783465722446383, 0.710696910859363,      0.623186380157957, 0.440580968074401, 0.421622927422676,      0.410586238112712, 0.220059502637561, 0.0918185897881101,      0.0885824346430113, 0.0674404858212389, 0.0204730423767794,      0.0054960637725085, 0.000619036217412721, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1280720413 
R squared (OOB):                  0.191953 

$Forests[[58]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418000, 395000, 425000,      425000, 430000, 382000, 459000, 418000, 318000, 445000, 462000,      447888, 443000, 442500, 418888, 450000, 345000, 390000, 415000,      358000), floor_area_sqm = c(92, 93, 93, 93, 92, 93, 93, 92,      90, 93, 93, 93, 93, 92, 92, 92, 90, 92, 92, 104), storey_order = c(3L,      2L, 4L, 5L, 5L, 1L, 4L, 5L, 3L, 4L, 5L, 5L, 5L, 6L, 3L, 4L,      5L, 1L, 2L, 4L), remaining_lease_mths = c(1134, 1138, 1134,      1134, 1137, 1111, 1138, 1142, 968, 1133, 1134, 1137, 1134,      1138, 1136, 1135, 937, 1132, 1132, 815), PROX_CBD = c(14.318757359464,      14.318757359464, 14.318757359464, 14.3486805845321, 14.2919055230493,      14.29200158436, 14.1715462602585, 14.4012043650842, 14.1338242827509,      14.1149653809405, 14.1475961545785, 14.1475961545785, 14.1475961545785,      14.4158973706441, 14.4158973706441, 14.5310939664424, 14.2787185061121,      14.6424103631698, 14.6122009832922, 14.0960645211931), PROX_ELDERLYCARE = c(2.13920478430288,      2.13920478430288, 2.13920478430288, 2.08279710659019, 2.08663557441472,      2.00367987562091, 2.09595649451453, 1.94149260139439, 2.28550514148655,      2.12564955085825, 2.03155968851809, 2.03155968851809, 2.03155968851809,      1.86115765343828, 1.86115765343828, 1.79186944623163, 1.77826193055387,      1.72557175775889, 1.68824062303628, 1.70531999087377), PROX_HAWKER = c(1.17625726432186,      1.17625726432186, 1.17625726432186, 1.11865892678262, 1.13160866269818,      1.05572120633707, 1.11030496241672, 0.977925494011815, 1.19906286300234,      1.06810792734919, 1.0452124348096, 1.0452124348096, 1.0452124348096,      0.900970586039013, 0.900970586039013, 0.816792492128141,      0.865181709866835, 0.740384095011384, 0.707122679385598,      0.845358517598031), PROX_MRT = c(0.277525006355607, 0.277525006355607,      0.277525006355607, 0.228370105834555, 0.215635082050947,      0.129588785375857, 0.236487582928319, 0.117672709296806,      0.414064606154384, 0.282489779359316, 0.206896355650083,      0.206896355650083, 0.206896355650083, 0.0830542408041225,      0.0830542408041225, 0.197201307651512, 0.14195902454703,      0.312698200175978, 0.295449456212788, 0.217341234217998),          PROX_PARK = c(1.77227256709076, 1.77227256709076, 1.77227256709076,          1.76668334590621, 1.71136953372848, 1.659682039687, 1.59201213147604,          1.73691437359179, 1.68789157401301, 1.55223981690243,          1.52292224478236, 1.52292224478236, 1.52292224478236,          1.70853765465547, 1.70853765465547, 1.79335149216305,          1.51686048726609, 1.78460824921244, 1.76906915549279,          1.27300714898888), PROX_GOOD_PRISCH = c(5.68167095374807,          5.68167095374807, 5.68167095374807, 5.67955556528646,          5.62322031775431, 5.57470277830303, 5.50129862889456,          5.65284274036128, 5.57754198399205, 5.45814117537329,          5.43570837857945, 5.43570837857945, 5.43570837857945,          5.62289607338158, 5.62289607338158, 5.7030752613132,          5.42826997650874, 5.77937603269072, 5.7298925008129,          5.17863906457975), PROX_MALL = c(0.582562895872492, 0.582562895872492,          0.582562895872492, 0.571430807201143, 0.517951444315281,          0.462705775504015, 0.405991175981987, 0.544441659044551,          0.547412994688805, 0.377565489031552, 0.329425359540921,          0.329425359540921, 0.329425359540921, 0.475045953779526,          0.475045953779526, 0.466036051693473, 0.338911837083335,          0.482269498416602, 0.426875162675013, 0.243284841315127         ), PROX_CHAS = c(0.0707174365033835, 0.0707174365033835,          0.0707174365033835, 0.0590253437170886, 3.54155757628082e-08,          0.0888572682655253, 0.12657377242065, 0.0706873614354785,          0.219091723429967, 0.179884741524278, 0.188783823394846,          0.188783823394846, 0.188783823394846, 0.0420419616737589,          0.0420419616737589, 0.162368565956873, 0.18872293939054,          0.280031834846542, 0.270793953405505, 0.132339190026647         ), PROX_SUPERMARKET = c(0.25307995359875, 0.25307995359875,          0.25307995359875, 0.199153546859355, 0.199383936085002,          0.124391003677116, 0.248308073473709, 0.0706874850207218,          0.41091265647621, 0.299769914037237, 0.235757849482592,          0.235757849482592, 0.235757849482592, 0.0420421510628514,          0.0420421510628514, 0.162368758687164, 0.188722783027928,          0.280032026158491, 0.270794118098451, 0.226949559622758         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 0L, 2L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 5L, 5L,          5L, 5L, 3L, 6L, 6L, 6L, 6L, 5L, 5L, 4L, 6L, 3L, 5L, 7L         ), WITHIN_350M_BUS = c(3L, 3L, 3L, 4L, 4L, 5L, 5L, 6L,          3L, 5L, 6L, 6L, 6L, 7L, 7L, 8L, 8L, 6L, 6L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 4L, 4L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,          3L, 4L, 3L, 4L, 5L), DNeighbour = c(0, 8.867118561837,          10.2171403267259, 54.4096552312179, 61.0428631405054,          151.240322931874, 172.028918213693, 192.599825175825,          209.506945459775, 220.220321579705, 247.243731348301,          249.664677447787, 249.873541931738, 268.930899899666,          269.093006774472, 361.558164191694, 407.324419447713,          466.35171433585, 481.26371205444, 614.633336555446)), row.names = c("58",      "840", "205", "217", "267", "989", "277", "633", "120", "519",      "207", "623", "966", "33", "100", "609", "329", "323", "489",      "880"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999583785116875,      0.999447418322972, 0.984388497155834, 0.980369995469792,      0.88256923096159, 0.849461436327982, 0.813256263019812, 0.7811220670052,      0.759729056123723, 0.702554358322493, 0.697226245167435,      0.696765091014346, 0.653757510998326, 0.653384220344459,      0.427665955421096, 0.314512134974491, 0.180031950143995,      0.149688668053756, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1110383675 
R squared (OOB):                  0.2728556 

$Forests[[59]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 415000, 365000,      395000, 310000, 433000, 416000, 370000, 258000, 420000, 285000,      4e+05, 370000, 288000, 350000, 415000, 428000, 418000, 412000,      367000), floor_area_sqm = c(84, 92, 92, 92, 84, 92, 92, 104,      84, 92, 84, 92, 92, 84, 108, 93, 92, 92, 92, 92), storey_order = c(3L,      5L, 1L, 2L, 2L, 4L, 4L, 4L, 1L, 5L, 3L, 2L, 1L, 1L, 1L, 4L,      4L, 5L, 5L, 1L), remaining_lease_mths = c(804, 1144, 1137,      1146, 811, 1130, 1140, 805, 781, 1143, 776, 1130, 1146, 770,      809, 1141, 1140, 1138, 1144, 1137), PROX_CBD = c(15.9050437012323,      15.9533618390172, 16.0046521285213, 16.0046521285213, 15.7493840144196,      16.055983361932, 16.055983361932, 15.7683454047388, 16.1631400386504,      16.1537572283104, 16.2311391435218, 16.1976566517324, 15.87024444961,      16.2681803933938, 15.5495667695359, 15.719551353229, 16.1831859860721,      16.0903666266177, 16.0903666266177, 16.0903666266177), PROX_ELDERLYCARE = c(0.346730428331521,      0.251148223850536, 0.20718686492254, 0.20718686492254, 0.392042381698264,      0.146417557277997, 0.146417557277997, 0.584689505447093,      0.194171564025932, 0.0462823216560119, 0.252142982647588,      9.89208662673193e-07, 0.10693627682917, 0.20801878428071,      0.619297318170404, 0.251997184681221, 0.0701319802482612,      0.179967723198436, 0.179967723198436, 0.179967723198436),          PROX_HAWKER = c(0.79668564149145, 0.802087399746937,          0.855932206484513, 0.855932206484513, 0.617009737136425,          0.897672222950446, 0.897672222950446, 0.791474322012874,          1.03995728027003, 0.986028325459381, 1.12300848995143,          1.03146250928298, 0.694651515851724, 1.14155805943316,          0.5213921544653, 0.543607139892928, 1.00994702859189,          0.9143232220583, 0.9143232220583, 0.9143232220583), PROX_MRT = c(0.750476153315833,          0.8851452059773, 0.883219311345816, 0.883219311345816,          0.825478596695925, 0.936151237003446, 0.936151237003446,          0.523772975672589, 0.842728374229233, 1.02112351286352,          0.830985280221221, 1.02706758196582, 1.09555222562317,          0.896888955057001, 0.711232187253978, 1.04322565796881,          1.08237519657155, 1.13213387762555, 1.13213387762555,          1.13213387762555), PROX_PARK = c(0.475878847958935, 0.589052524814441,          0.619767633008914, 0.619767633008914, 0.423881452963658,          0.683762717294504, 0.683762717294504, 0.270342199592644,          0.707513815343702, 0.793519520304926, 0.723677668737743,          0.822565203699192, 0.707790886000148, 0.750067315759091,          0.20876400491182, 0.60075194434184, 0.848434833813522,          0.83568858459355, 0.83568858459355, 0.83568858459355),          PROX_GOOD_PRISCH = c(6.45664561130608, 6.52939634907869,          6.57618460349959, 6.57618460349959, 6.32317863359129,          6.63421015362065, 6.63421015362065, 6.2828979894293,          6.70927938580052, 6.74044920052795, 6.76533990958697,          6.78043949525415, 6.49806658702102, 6.81173689796023,          6.09891773314498, 6.34176102939636, 6.78038310261662,          6.70919168347838, 6.70919168347838, 6.70919168347838),          PROX_MALL = c(0.18299798168314, 0.161178852361569, 0.110811660449771,          0.110811660449771, 0.340817581482914, 0.118546137622893,          0.118546137622893, 0.400271919676516, 0.0870960802892481,          0.180580587241737, 0.175221521556568, 0.189710317758296,          0.388975340293238, 0.188162247463955, 0.541358966367059,          0.460595397283409, 0.241735562355662, 0.311149009276151,          0.311149009276151, 0.311149009276151), PROX_CHAS = c(0.190026772642962,          0.165813590617473, 0.114687044901222, 0.114687044901222,          0.347229964463676, 0.110329053122027, 0.110329053122027,          0.406778788965278, 0.081875317774622, 0.0922372285822684,          0.170601730776313, 0.0868060808909073, 0.140210421841136,          0.160774225575301, 0.252209440491103, 0.269388612247007,          0.148113838308576, 0.215238065300109, 0.215238065300109,          0.215238065300109), PROX_SUPERMARKET = c(0.179336240856332,          0.162291812321236, 0.112847248683738, 0.112847248683738,          2.98731019421495e-07, 0.123371553336512, 0.123371553336512,          0.30290594542381, 0.0873208554119548, 0.186806037215644,          0.137275095711229, 0.195853508350489, 0.287679129281494,          0.189660657064324, 0.243797536441002, 0.219989756424723,          0.247969406526707, 0.316789996913415, 0.316789996913415,          0.316789996913415), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L,          1L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 3L,          3L, 3L, 5L, 3L, 3L, 5L, 6L, 8L, 5L, 8L, 4L, 6L, 1L, 5L,          7L, 2L, 2L, 2L), WITHIN_350M_BUS = c(8L, 8L, 7L, 7L,          7L, 7L, 7L, 8L, 11L, 7L, 10L, 7L, 8L, 11L, 6L, 5L, 7L,          8L, 8L, 8L), WITHIN_1KM_PRISCH = c(6L, 5L, 5L, 5L, 6L,          5L, 5L, 7L, 5L, 4L, 5L, 5L, 4L, 5L, 5L, 3L, 4L, 4L, 4L,          4L), DNeighbour = c(0, 134.401555091494, 141.07487010657,          143.422751121624, 178.738618686333, 208.083640582724,          209.207909877417, 253.586398328532, 255.974151703846,          311.665826122055, 332.243631946794, 347.157033427371,          355.76761259279, 357.87104796997, 358.441668180761, 370.020081870012,          370.709854420454, 387.369520912429, 391.801669499037,          392.203148289939)), row.names = c("59", "124", "594",      "408", "956", "741", "538", "262", "872", "869", "945", "427",      "582", "798", "236", "698", "661", "249", "919", "161"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.778926284647989, 0.757973986510886, 0.750431660717667,      0.627755850473025, 0.516265232738002, 0.511891708767752,      0.338664085905173, 0.329520507887873, 0.135810614351757,      0.0797415940585427, 0.0468794484650366, 0.031388839432979,      0.0280262437170699, 0.0271436116854535, 0.0120826784559994,      0.0113634887155644, 0.000600088416024199, 4.18714861867787e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       902383841 
R squared (OOB):                  0.6888275 

$Forests[[60]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 380000, 315000,      366800, 480000, 323000, 445000, 338000, 348000, 635000, 309000,      345000, 592000, 518000, 388000, 330000, 385000, 394000, 350880,      515000), floor_area_sqm = c(103, 100, 91, 105, 104, 92, 100,      93, 93, 105, 91, 91, 108, 88, 104, 84, 104, 102, 91, 105),          storey_order = c(1L, 4L, 1L, 2L, 2L, 2L, 3L, 5L, 4L,          4L, 2L, 3L, 2L, 3L, 3L, 3L, 4L, 2L, 2L, 2L), remaining_lease_mths = c(923,          931, 722, 761, 777, 690, 949, 860, 777, 833, 774, 773,          810, 770, 751, 791, 740, 769, 785, 762), PROX_CBD = c(8.21483984631558,          8.15573636625741, 8.21547938057256, 8.5913881835975,          8.81196120759187, 9.445702961959, 9.38671442358298, 9.71808261065178,          9.5834162789491, 7.22087947204147, 9.64616581570663,          9.63489497584329, 7.18468073982128, 7.79515244158294,          10.2659136784881, 9.73525531751342, 10.2659136784881,          6.11041994069873, 10.3813809316332, 7.9455961592131),          PROX_ELDERLYCARE = c(0.287120499253456, 0.30639563225599,          0.425001866306461, 0.675108088860868, 0.68560621126507,          0.0646727834979237, 0.197320443098403, 0.288600487645686,          0.221128007339761, 1.54373359073656, 0.306199433665808,          0.42629854090558, 1.63490637838594, 1.83577537822547,          0.737818764037149, 0.869795033999967, 0.737818764037149,          0.700949857098155, 0.833489789321986, 1.77517839654503         ), PROX_HAWKER = c(0.248204869380096, 0.288074572046437,          0.272525769496456, 0.151496134675632, 0.290355020850324,          0.802499530175562, 0.671765492644128, 1.10941781168001,          0.844035637065003, 1.05968958012269, 0.906506968115566,          0.908741650371918, 1.02937341390922, 1.19066876388205,          1.65941342147148, 0.687117415591119, 1.65941342147148,          0.917579692245523, 1.5910354083573, 0.800389309546525         ), PROX_MRT = c(1.08736551837768, 0.998476915081282,          0.877462529610437, 0.864705124656065, 0.425157896719621,          0.834535111428891, 0.671695564859285, 0.750225097750018,          0.679762822214213, 0.206889953987817, 0.626377719466395,          0.669484450879797, 0.13577722868059, 0.499752126280618,          0.684374477874155, 0.86810604264512, 0.684374477874155,          0.781870827245549, 0.699917284291438, 0.75069701440163         ), PROX_PARK = c(0.587773758099403, 0.465482353353317,          0.34344129155164, 0.545921527880028, 0.468007817587664,          0.508498628446561, 0.409638708762546, 0.552878075981585,          0.171128410914521, 0.769170147627311, 0.106198450905693,          0.197084482081202, 0.802458220215738, 0.723268787935639,          0.570788416471153, 0.452373350223662, 0.570788416471153,          0.263971642616293, 0.616002692100522, 0.364839433462782         ), PROX_GOOD_PRISCH = c(2.8757656049093, 2.76944558246381,          2.64672046335999, 2.65365036334729, 2.18636815139252,          2.16640973416033, 1.96445822173508, 2.3197363622043,          1.81796659730331, 2.65891054731874, 1.71137279935344,          1.59153495480405, 2.6636605310312, 1.9917971907287, 2.58742850928016,          1.15234422615158, 2.58742850928016, 4.13214763824822,          2.6286340652406, 1.79538098544694), PROX_MALL = c(1.020621498239,          0.92903564794814, 0.807676293785945, 0.81045000642783,          0.389401354829447, 0.855253012280219, 0.704978058880463,          0.64580888250568, 0.812301361871699, 0.389192825268572,          0.808294932987377, 0.873569112263515, 0.319563922107573,          0.483735594398556, 0.364765391124967, 0.907839978504126,          0.364765391124967, 1.32133984316634, 0.365493224544838,          0.730136421618933), PROX_CHAS = c(0.132091194783373,          0.211513021624011, 0.136581974857907, 0.0629474356823598,          0.210741683871549, 0.378465676389041, 0.181909444046462,          0.122290728478786, 0.334146331647452, 0.201367273106442,          0.415210445937219, 0.454068185577158, 0.244287808759251,          0.157541179554435, 0.204257711541377, 0.116614388177292,          0.204257711541377, 0.235562548335707, 0.28517644723447,          0.312128892467037), PROX_SUPERMARKET = c(0.249780587504203,          0.324462496048725, 0.281285688066644, 0.140831249897628,          0.365648379234028, 0.234896025437738, 0.448356351676465,          0.190117050177684, 0.581458245406798, 0.425467495913439,          0.675617328849562, 0.717910522287554, 0.350395790631763,          0.305647853022819, 0.384238743245603, 0.458729641056945,          0.384238743245603, 0.174913922147584, 0.49431722643315,          0.390939423908347), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 1L, 2L, 3L, 2L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L,          0L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 2L,          2L, 0L, 3L, 3L, 3L, 2L, 3L, 7L, 1L, 1L, 6L, 2L, 6L, 2L,          6L, 1L, 6L, 4L), WITHIN_350M_BUS = c(8L, 8L, 8L, 8L,          7L, 10L, 9L, 6L, 7L, 11L, 8L, 5L, 12L, 10L, 8L, 10L,          8L, 4L, 10L, 7L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L,          1L, 2L, 2L, 2L, 4L, 1L, 4L, 3L, 1L, 2L, 2L, 4L, 2L, 1L,          2L, 3L), DNeighbour = c(0, 163.067412946658, 257.332643029167,          392.324029791029, 789.128316593749, 1312.96883285696,          1329.47391020582, 1542.73009340485, 1572.9380511408,          1661.00609796389, 1680.11448294209, 1726.00305088732,          1751.58283356516, 1848.47300301059, 2063.94368953481,          2064.48531128317, 2067.47947990327, 2103.1755758597,          2181.44344739122, 2209.6121188506)), row.names = c("60",      "435", "691", "894", "465", "67", "373", "624", "799", "344",      "785", "273", "370", "209", "77", "921", "501", "135", "626",      "345"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98913704432253,      0.973057837096723, 0.937943454824113, 0.761177865001381,      0.4185016683905, 0.407023811456241, 0.262687089870823, 0.243298562739752,      0.189154918743123, 0.177951655319431, 0.151967230969566,      0.138093982524068, 0.0901004983706226, 0.0162571892628329,      0.0161406101142127, 0.0155031721292699, 0.00883961820248631,      0.000641809915097492, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4128567017 
R squared (OOB):                  0.5312462 

$Forests[[61]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(308000, 355000, 330000,      315000, 360000, 365000, 370000, 365000, 360000, 446000, 370000,      347000, 428000, 340000, 390000, 420000, 325000, 420000, 333000,      3e+05), floor_area_sqm = c(84, 103, 103, 84, 103, 103, 98,      107, 99, 107, 104, 103, 90, 104, 104, 90, 84, 99, 103, 84     ), storey_order = c(1L, 3L, 2L, 3L, 1L, 4L, 2L, 1L, 2L, 3L,      2L, 3L, 8L, 1L, 1L, 8L, 2L, 3L, 2L, 2L), remaining_lease_mths = c(795,      793, 800, 788, 777, 768, 767, 766, 796, 783, 763, 777, 1008,      772, 763, 1011, 783, 929, 788, 797), PROX_CBD = c(13.3304860768802,      13.46147060752, 13.46147060752, 13.0463978034086, 13.7231688188033,      12.6612960596841, 12.6407298816561, 13.578535689825, 13.8977069202737,      13.1163383572019, 13.075732494377, 12.4516179583977, 13.8412030491349,      13.1145091682395, 13.1145091682395, 13.8798013735997, 14.1279251783367,      13.2222340992065, 14.3532733654858, 14.3169519114025), PROX_ELDERLYCARE = c(0.85382998667073,      1.01995663096129, 1.01995663096129, 0.612412426395362, 0.681177733621966,      0.349885373003571, 0.198383641986835, 0.535215785060316,      1.56746404607568, 0.258125844069092, 0.206309775801723, 0.517665393733001,      1.74703283433278, 0.233566729538939, 0.233566729538939, 1.77270985488013,      1.66641228888996, 0.385934705647939, 1.6760601574403, 1.55261218152075     ), PROX_HAWKER = c(1.09459947163448, 1.03983060555389, 1.03983060555389,      1.36023111372333, 0.601426993813282, 1.71720286170745, 1.70233840124208,      0.775756145922257, 1.04237506554324, 1.23349193679857, 1.2806114078583,      1.97187302693261, 1.43519165592487, 1.24018164124527, 1.24018164124527,      1.47024255459416, 1.24304803992561, 1.08380419022874, 0.99569743308136,      1.19367588944735), PROX_MRT = c(0.525688124362732, 0.367668143276235,      0.367668143276235, 0.622051877914657, 0.498221170198522,      0.798149237832703, 0.712674611555213, 0.357978123578611,      0.300373388684648, 0.166998983475289, 0.218393806785847,      1.07246547116041, 0.462396576385451, 0.402767024758649, 0.402767024758649,      0.523014705157119, 0.59155533687368, 0.503688459146237, 0.756418829435307,      0.753004841751307), PROX_PARK = c(0.620743454357064, 0.582693033366388,      0.582693033366388, 0.572775970192077, 1.26781451063295, 0.722272593032778,      0.87239282209614, 1.33984402369384, 0.782220037546154, 1.28385310080255,      1.31516124688894, 0.540079114132334, 0.752068597068081, 1.4917670023494,      1.4917670023494, 0.782127938386311, 1.00515750023779, 1.61082819122054,      1.20426051281307, 1.00962818739137), PROX_GOOD_PRISCH = c(3.24954726475941,      3.38131302543864, 3.38131302543864, 2.96540091825049, 3.673854441535,      2.58047246486208, 2.56532775368338, 3.55013641033528, 3.83525569342672,      3.10133739012884, 3.06740437701091, 2.37408427308534, 3.82728738248792,      3.15473759747012, 3.15473759747012, 3.87304276717541, 4.09179045416031,      3.2388029474634, 4.29145341198416, 4.27446656255715), PROX_MALL = c(0.513372166694422,      0.644549177151603, 0.644549177151603, 0.587476612974174,      0.406890039239853, 0.817237002784756, 0.751522975449472,      0.305514521023982, 1.14150204308926, 0.281310431650798, 0.332903613799786,      1.09246464633101, 1.33339622609195, 0.504156272689578, 0.504156272689578,      1.33861894221302, 1.48884664162065, 0.587950861513872, 1.45738633765159,      1.50622914679999), PROX_CHAS = c(0.472814153962233, 0.348399033159575,      0.348399033159575, 0.40513819943783, 0.176857487498571, 0.248450831201433,      0.217156748290024, 0.282171570268124, 0.162936326565904,      0.155371621529032, 0.122328851042638, 0.137011223676854,      0.116038559859119, 0.11048408202451, 0.11048408202451, 0.058882652003164,      0.283027750434604, 0.151225190585885, 0.0428610630237518,      0.149961616171305), PROX_SUPERMARKET = c(0.510727353781082,      0.356146193343619, 0.356146193343619, 0.599997973636583,      0.270532795629183, 0.326739034058403, 0.217156859083098,      0.281417393052806, 0.162936951836525, 0.141466460051892,      0.193246634773484, 0.417679622168911, 0.116038559858059,      0.362446168440829, 0.362446168440829, 0.0588826520022197,      0.283027750434408, 0.459946280432931, 0.400567683079086,      0.277976240278344), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 2L, 0L, 2L, 2L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 2L,      0L, 2L, 3L), WITHIN_350M_CHILDCARE = c(4L, 3L, 3L, 2L, 4L,      3L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 6L, 6L, 2L, 3L, 5L, 3L, 3L     ), WITHIN_350M_BUS = c(5L, 6L, 6L, 7L, 8L, 12L, 10L, 10L,      5L, 9L, 10L, 9L, 5L, 7L, 7L, 5L, 10L, 8L, 10L, 9L), WITHIN_1KM_PRISCH = c(3L,      3L, 3L, 4L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L,      2L, 4L, 2L, 2L), DNeighbour = c(0, 170.024737264066, 179.143023344571,      285.751531141508, 659.826789009289, 672.722689454097, 708.342701724139,      723.588421472952, 726.008915776277, 738.448309468514, 782.143102862669,      893.24867013019, 984.735083085798, 993.446522615448, 995.319551983698,      1047.52233235075, 1080.47872609257, 1096.35966479705, 1139.623212624,      1200.93943215316)), row.names = c("61", "332", "526", "987",      "960", "552", "477", "856", "479", "105", "929", "851", "678",      "844", "164", "877", "893", "350", "697", "650"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.960313977128239, 0.955992299932805, 0.88997441926904, 0.48738770635643,      0.470893244700541, 0.425244639451791, 0.405732386406185,      0.402639037435414, 0.386769015591334, 0.331591120983021,      0.199607047626967, 0.107353302466772, 0.0996662530850679,      0.0980421634541074, 0.0572050185960074, 0.0363091579305099,      0.0277489150265746, 0.00990163379691624, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1384254289 
R squared (OOB):                  0.1790367 

$Forests[[62]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(3e+05, 342000, 340000,      295000, 338000, 358000, 410000, 358000, 370000, 447888, 443000,      462000, 445000, 334008, 459000, 345000, 318000, 382000, 430000,      418000), floor_area_sqm = c(84, 106, 103, 84, 104, 103, 101,      104, 102, 93, 93, 93, 93, 103, 93, 90, 90, 93, 92, 92), storey_order = c(2L,      3L, 3L, 4L, 2L, 4L, 3L, 4L, 3L, 5L, 5L, 5L, 4L, 2L, 4L, 5L,      3L, 1L, 5L, 3L), remaining_lease_mths = c(796, 822, 819,      804, 818, 815, 936, 815, 927, 1137, 1134, 1134, 1133, 917,      1138, 937, 968, 1111, 1137, 1134), PROX_CBD = c(13.0363382428153,      13.4005544783984, 13.4421606987754, 13.4836212956012, 13.540845499052,      13.3358607953132, 13.8911800577968, 14.0960645211931, 14.12564920201,      14.1475961545785, 14.1475961545785, 14.1475961545785, 14.1149653809405,      14.2719972222741, 14.1715462602585, 14.2787185061121, 14.1338242827509,      14.29200158436, 14.2919055230493, 14.318757359464), PROX_ELDERLYCARE = c(2.32849407054544,      1.97051284494128, 2.21821379350418, 1.90290557072286, 2.00347240504871,      1.82755511634294, 1.40411939431899, 1.70531999087377, 1.44816412197145,      2.03155968851809, 2.03155968851809, 2.03155968851809, 2.12564955085825,      1.50921581969441, 2.09595649451453, 1.77826193055387, 2.28550514148655,      2.00367987562091, 2.08663557441472, 2.13920478430288), PROX_HAWKER = c(0.273412421583494,      0.12929497730436, 0.414492581023045, 0.2119534509789, 0.326481146247567,      0.304539750383927, 0.687446499339865, 0.845358517598031,      0.778468578249857, 1.0452124348096, 1.0452124348096, 1.0452124348096,      1.06810792734919, 0.684102697062058, 1.11030496241672, 0.865181709866835,      1.19906286300234, 1.05572120633707, 1.13160866269818, 1.17625726432186     ), PROX_MRT = c(0.403045881609603, 0.190014195795526, 0.190553770403229,      0.193711088781655, 0.080163548628182, 0.127895121346052,      0.241174931861397, 0.217341234217998, 0.476637705223286,      0.206896355650083, 0.206896355650083, 0.206896355650083,      0.282489779359316, 0.347262283963267, 0.236487582928319,      0.14195902454703, 0.414064606154384, 0.129588785375857, 0.215635082050947,      0.277525006355607), PROX_PARK = c(0.517161111062201, 0.588173355458052,      0.89429546385096, 0.646728518696572, 0.80961064190221, 0.385477438930733,      0.90249149706597, 1.27300714898888, 1.20701221478007, 1.52292224478236,      1.52292224478236, 1.52292224478236, 1.55223981690243, 1.38760566459916,      1.59201213147604, 1.51686048726609, 1.68789157401301, 1.659682039687,      1.71136953372848, 1.77227256709076), PROX_GOOD_PRISCH = c(4.29037325314161,      4.50146177611143, 4.75420572996722, 4.5626858677187, 4.71745369301481,      4.27184313218833, 4.74545729482833, 5.17863906457975, 5.06260566207177,      5.43570837857945, 5.43570837857945, 5.43570837857945, 5.45814117537329,      5.26118802945754, 5.50129862889456, 5.42826997650874, 5.57754198399205,      5.57470277830303, 5.62322031775431, 5.68167095374807), PROX_MALL = c(0.898390579507312,      0.610989928852924, 0.472918799427377, 0.551151307820263,      0.403528889272069, 0.761223886000054, 0.267645090747045,      0.243284841315127, 0.287395381957405, 0.329425359540921,      0.329425359540921, 0.329425359540921, 0.377565489031552,      0.108121271181015, 0.405991175981987, 0.338911837083335,      0.547412994688805, 0.462705775504015, 0.517951444315281,      0.582562895872492), PROX_CHAS = c(0.170237474205233, 0.158416400393545,      0.291197842200049, 0.229483689413426, 0.253510567884045,      0.267020330020893, 0.241761013919413, 0.132339190026647,      0.182188888557241, 0.188783823394846, 0.188783823394846,      0.188783823394846, 0.179884741524278, 0.108121286081234,      0.12657377242065, 0.18872293939054, 0.219091723429967, 0.0888572682655253,      3.54155757628082e-08, 0.0707174365033835), PROX_SUPERMARKET = c(0.322492439389486,      0.139889213791387, 0.249308161339926, 0.191700628396676,      0.1865280595431, 0.442772380644983, 0.315435463566428, 0.226949559622758,      0.277268812686258, 0.235757849482592, 0.235757849482592,      0.235757849482592, 0.299769914037237, 0.105248463653719,      0.248308073473709, 0.188722783027928, 0.41091265647621, 0.124391003677116,      0.199383936085002, 0.25307995359875), WITHIN_350M_KINDERGARTEN = c(2L,      1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L,      1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 4L, 2L, 5L,      5L, 2L, 3L, 7L, 3L, 6L, 6L, 6L, 6L, 4L, 5L, 6L, 3L, 5L, 5L,      4L), WITHIN_350M_BUS = c(4L, 10L, 6L, 12L, 11L, 9L, 15L,      9L, 10L, 6L, 6L, 6L, 5L, 10L, 5L, 8L, 3L, 5L, 4L, 3L), WITHIN_1KM_PRISCH = c(3L,      4L, 4L, 4L, 4L, 3L, 5L, 5L, 5L, 4L, 4L, 4L, 4L, 5L, 4L, 4L,      3L, 4L, 3L, 3L), DNeighbour = c(0, 384.790115091535, 467.835462481259,      473.77991853171, 505.732175218783, 528.134634748451, 960.714420839606,      1061.86070621396, 1107.83413679581, 1187.24155762572, 1187.91432665576,      1191.34899835874, 1193.69267038659, 1235.70869902456, 1244.33251360546,      1259.10617799258, 1288.21034583379, 1338.1511587192, 1368.0435696485,      1413.86010629602)), row.names = c("62", "859", "123", "681",      "617", "475", "599", "880", "703", "623", "966", "207", "519",      "381", "277", "329", "120", "989", "267", "58"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.857348705867866, 0.793008535745602, 0.788029349386752,      0.76047736937571, 0.740403742543945, 0.289748733152678, 0.190047175637246,      0.149030670972495, 0.0869520447869834, 0.0864812560428793,      0.0840935728983777, 0.0824796143531698, 0.055757482464437,      0.0508192116672675, 0.0428197930037798, 0.0288463523898781,      0.010863482541592, 0.00406539668448661, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1861838882 
R squared (OOB):                  0.3826335 

$Forests[[63]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 478000, 423800,      415000, 390000, 4e+05, 450000, 430000, 435000, 410000, 447000,      425000, 360000, 550000, 548000, 615000, 438000, 420000, 429000,      658000), floor_area_sqm = c(103, 104, 104, 104, 102, 91,      105, 103, 103, 104, 107, 104, 84, 93, 93, 84, 104, 105, 104,      84), storey_order = c(1L, 5L, 2L, 2L, 2L, 1L, 2L, 2L, 4L,      2L, 3L, 3L, 2L, 3L, 4L, 2L, 2L, 2L, 2L, 3L), remaining_lease_mths = c(773,      770, 756, 760, 763, 783, 757, 764, 819, 761, 782, 747, 762,      1137, 1135, 1122, 812, 787, 822, 1120), PROX_CBD = c(11.9179556382635,      11.927322045494, 11.7174653186763, 11.6914583773846, 11.6387779682198,      11.4963900230166, 11.4573592114175, 12.3243460542753, 11.381621166991,      12.2901811097239, 11.7840832214562, 12.4246534304877, 11.4815172953657,      11.2116042179965, 11.1809634086998, 12.3801819754074, 11.7215458353159,      12.7549887608908, 11.1191912667925, 12.4891302242583), PROX_ELDERLYCARE = c(0.757050983431463,      0.77464979732367, 0.74375074589335, 0.736997311630605, 0.792216801753581,      0.672630859926948, 0.52883250894194, 0.362207242709056, 0.382123855460196,      0.180150537957213, 0.481333190444255, 0.223353489993969,      0.182032582488253, 0.369355324070756, 0.333450295290741,      0.738453704244922, 0.240093333498969, 0.556485595404089,      0.213121327483379, 0.707031754326944), PROX_HAWKER = c(0.581821713307667,      0.445987433628815, 0.5637831570093, 0.558671781535233, 0.61454926069889,      0.804785607263954, 0.848364442784946, 0.290415492755609,      0.863892291353285, 0.155357947035291, 0.436117874461739,      0.283538945902673, 0.728271246274353, 1.02311573056961, 1.04207495818587,      0.261296216065877, 0.609281739536534, 0.627642822312809,      1.08329799955244, 0.384467206049481), PROX_MRT = c(0.401552834915971,      0.493642118682657, 0.162940637784707, 0.140110279979828,      0.0844107562606101, 0.132306565433056, 0.275269590424193,      0.559245805822074, 0.424871345706255, 0.729338839878115,      0.81394482428473, 0.694199692700576, 0.756359380624344, 0.524888394814585,      0.580267989687754, 0.367154517888221, 0.989064774064853,      0.561554903993597, 0.776456939054752, 0.38468199977318),          PROX_PARK = c(1.26489639581012, 1.17760662255222, 1.5229705853841,          1.50772581466401, 1.51709061898346, 1.41209410927924,          1.3775538710324, 1.218970746516, 1.31830174708739, 1.26762597166046,          1.20101103678102, 1.19561442246869, 1.50398184725757,          1.15338615463339, 1.13378306757762, 0.605799570777928,          1.28416187507733, 1.16122098497616, 1.13833451608328,          0.50651752093578), PROX_GOOD_PRISCH = c(0.374797987706521,          0.289303568244907, 0.440184840714675, 0.476923220580037,          0.453346371612442, 0.364349890680966, 0.277148461253506,          0.889618707353532, 0.288839241027683, 0.992456269301591,          0.357669915539773, 1.09898709469432, 0.365254403810308,          0.456074275886943, 0.485317217067727, 0.823417580851307,          0.585140695782779, 1.29435567579286, 0.586469336292635,          0.94986022590219), PROX_MALL = c(0.498039402667872, 0.376851773239706,          0.750703947848918, 0.797799046209296, 0.815834004295584,          0.844787863205902, 0.815329638117364, 0.471904090765479,          0.849953313581112, 0.649064194608972, 0.489619370966043,          0.626909601034773, 0.763531318053358, 1.01522535242687,          1.03968747299659, 0.344173235497563, 0.690287469384684,          0.542723135774117, 1.10160019948421, 0.458049841664737         ), PROX_CHAS = c(0.258806234431974, 0.339292519878925,          4.64133788220832e-08, 0.0474151678735614, 0.0804697697946077,          0.0697008731150885, 0.179820414455961, 0.193597629002809,          0.115324197479935, 0.128297543182753, 0.0667093090499658,          0.221655673315632, 0.0516610437101642, 0.206252010873132,          0.216965800691496, 0.126495411341712, 0.164718468919614,          0.144180959238343, 0.143881852296294, 3.00974727266337e-08         ), PROX_SUPERMARKET = c(0.542179538393358, 0.405378875546255,          0.609798994765399, 0.635527990773791, 0.596048194106483,          0.441950593919319, 0.301981775400679, 0.331501685351864,          0.186698572696543, 0.159863951308791, 0.379080894647373,          0.209750471448386, 0.19171128272723, 0.222574928361305,          0.212835414763751, 0.30203349112312, 0.169255457402684,          0.150188458093997, 0.246182427713253, 0.425107542879533         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 2L, 0L, 4L, 2L, 2L, 0L, 0L, 0L, 2L, 2L, 2L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L, 3L, 3L, 2L,          4L, 4L, 4L, 5L, 3L, 5L, 5L, 4L, 3L, 3L, 6L, 3L, 5L, 2L         ), WITHIN_350M_BUS = c(7L, 9L, 5L, 6L, 6L, 8L, 7L, 4L,          10L, 3L, 7L, 4L, 14L, 6L, 7L, 8L, 10L, 7L, 9L, 10L),          WITHIN_1KM_PRISCH = c(3L, 4L, 3L, 3L, 3L, 3L, 3L, 6L,          3L, 5L, 4L, 5L, 3L, 2L, 2L, 4L, 3L, 5L, 2L, 5L), DNeighbour = c(0,          157.044980197188, 265.710311471499, 310.976443633712,          333.071098194368, 427.986699578263, 476.335550955094,          516.758111203435, 588.524787195313, 616.453903290372,          635.691979443877, 717.658557916614, 742.088321909299,          753.446415671622, 795.988690340914, 834.575325555528,          891.658709915072, 933.498007871372, 934.741739185587,          952.456606160551)), row.names = c("63", "666", "941",      "274", "522", "151", "843", "861", "744", "518", "340", "186",      "213", "347", "178", "315", "625", "215", "845", "505"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.946365567260928, 0.850404320939972, 0.798160321606786,      0.77037852350222, 0.636938505475279, 0.562331091677464, 0.497922631444317,      0.382167764886492, 0.337676698259501, 0.307521033978052,      0.18685340231947, 0.154413729378549, 0.140048516982315, 0.0909439682208887,      0.0539229349750944, 0.0152746919323645, 0.00155343873348205,      0.001358094816426, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4774199292 
R squared (OOB):                  0.2064405 

$Forests[[64]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 420000, 460000,      350000, 345000, 335000, 428000, 316000, 304000, 342000, 320000,      358888, 395000, 306000, 355000, 4e+05, 365000, 365000, 360000,      415000), floor_area_sqm = c(105, 104, 105, 106, 92, 90, 98,      104, 104, 94, 104, 91, 107, 109, 94, 97, 95, 107, 103, 100     ), storey_order = c(2L, 4L, 4L, 2L, 2L, 1L, 3L, 1L, 2L, 1L,      2L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), remaining_lease_mths = c(771,      774, 770, 781, 742, 731, 730, 777, 776, 747, 772, 763, 755,      773, 1071, 734, 735, 766, 777, 944), PROX_CBD = c(14.8222691165004,      15.0460728336845, 15.1689870500438, 15.2518600651656, 13.8901285505698,      13.8901285505698, 14.0949321583848, 13.8730731524118, 13.8730731524118,      13.7770670669378, 16.0390890659677, 13.6826822978472, 15.936744569076,      16.2343575305192, 15.3735649652411, 13.4040436118709, 13.3652677077184,      13.578535689825, 13.7231688188033, 13.1525533734461), PROX_ELDERLYCARE = c(0.151522520392741,      0.0734543941007858, 0.235447740717014, 0.341160576506438,      0.540311266279695, 0.540311266279695, 1.07365166923746, 0.192118066579221,      0.192118066579221, 0.919307603677702, 0.520751571920202,      0.000158780971194199, 0.526555480516014, 0.63095091801206,      0.0572763643156628, 0.954835536666776, 0.876024529291782,      0.535215785060316, 0.681177733621966, 0.640770029240432),          PROX_HAWKER = c(0.189112683951821, 0.321243604465073,          0.493984449855749, 0.711147803357143, 0.213123049695643,          0.213123049695643, 0.516176882783883, 0.635045114374877,          0.635045114374877, 0.478671478091809, 0.601123999453785,          0.699744847940348, 0.44834457013621, 0.355821892612055,          0.371848396937832, 0.780321580506598, 0.775887609068758,          0.775756145922257, 0.601426993813282, 0.959649545299011         ), PROX_MRT = c(0.506610369321483, 0.667161579318597,          0.840089990200814, 1.05589835680014, 0.793013171832836,          0.793013171832836, 0.499812381699912, 0.865482366580506,          0.865482366580506, 0.771349314593772, 0.965829261077996,          0.751023886560838, 0.239432195714991, 0.864165890870668,          0.753708157385654, 0.515309591544804, 0.585785046275015,          0.357978123578611, 0.498221170198522, 0.944408516927639         ), PROX_PARK = c(1.20591145519053, 1.32178658469093,          1.48925201971724, 1.72109509304533, 1.23128896715218,          1.23128896715218, 0.62523741493865, 1.73324375775577,          1.73324375775577, 0.941140572803456, 1.48305338833506,          1.77145949687945, 0.747611444367071, 1.34373269803231,          0.535685352466539, 1.22140134317452, 1.30724345285799,          1.33984402369384, 1.26781451063295, 1.65277848527316),          PROX_GOOD_PRISCH = c(4.44405903659268, 4.66454637236311,          4.81784539373378, 4.96507368960908, 3.56420611596829,          3.56420611596829, 3.57828936266804, 3.76914808697313,          3.76914808697313, 3.3146343023011, 5.64743379607767,          3.58938982364218, 5.39194564581962, 5.7932792467937,          4.72825571795328, 2.95770979509606, 2.95461231779958,          3.55013641033528, 3.673854441535, 2.95137840528657),          PROX_MALL = c(1.74752862756084, 1.83033637772351, 1.93173107331603,          2.06076738363197, 1.05377974643614, 1.05377974643614,          0.812049880186, 0.861712986146148, 0.861712986146148,          0.672803550263317, 1.36185056241102, 0.770100764029299,          0.942416713928675, 1.10378372306907, 0.408391974099547,          0.412160376682232, 0.473263954532778, 0.305514521023982,          0.406890039239853, 0.703422933264244), PROX_CHAS = c(0.191193294854487,          0.0544168696099871, 0.22714457633909, 0.453299264887269,          0.0812638133573676, 0.0812638133573676, 0.135156069731972,          0.0967538959757692, 0.0967538959757692, 0.0886717393158711,          0.205355834952608, 0.110149755252424, 0.145251548786172,          0.289709096170644, 0.289984207596008, 0.240863562772424,          0.179342279988699, 0.282171570268124, 0.176857487498571,          0.1365287941905), PROX_SUPERMARKET = c(0.188017328828043,          0.286721618184596, 0.459690883388295, 0.644027759940317,          0.082811926566736, 0.082811926566736, 0.352618767904154,          0.094684564379848, 0.094684564379848, 0.334979160094168,          0.352842931529878, 0.11210687568128, 0.434198104817495,          0.132128014198024, 0.406388098650168, 0.422907964790702,          0.487840963146543, 0.281417393052806, 0.270532795629183,          0.688592108834651), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 0L, 1L, 1L, 0L, 2L, 2L, 1L, 1L, 2L, 0L, 0L, 2L,          1L, 1L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 1L,          1L, 0L, 4L, 4L, 1L, 3L, 3L, 3L, 6L, 3L, 2L, 8L, 4L, 5L,          6L, 4L, 4L, 2L), WITHIN_350M_BUS = c(6L, 5L, 4L, 6L,          4L, 4L, 9L, 8L, 8L, 10L, 7L, 9L, 7L, 9L, 12L, 6L, 6L,          10L, 8L, 6L), WITHIN_1KM_PRISCH = c(2L, 1L, 2L, 1L, 4L,          4L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 4L, 3L,          2L), DNeighbour = c(0, 232.018359330886, 377.942198289093,          561.766961790668, 930.14960690318, 930.752765843958,          933.574909537053, 1085.44782796356, 1090.47837399439,          1129.07303913365, 1226.84008340057, 1243.77729762542,          1260.80706874001, 1411.00533355492, 1457.14697747717,          1481.990221479, 1495.60700043437, 1627.44649239401, 1639.69990947372,          1674.75586354919)), row.names = c("64", "256", "739",      "109", "214", "90", "25", "230", "36", "337", "751", "1000",      "423", "468", "601", "757", "238", "856", "960", "496"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.961982473057711, 0.900739634552005, 0.787630108093711,      0.478223892242384, 0.477670577426036, 0.475081155472078,      0.336326403197429, 0.331815089578753, 0.297562060511358,      0.21471410244178, 0.201110423224378, 0.187702478557801, 0.0841986796392272,      0.0590423704332637, 0.0470687355393729, 0.0410053033867281,      0.00310238497615526, 0.00171609770778313, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1366742984 
R squared (OOB):                  0.2470208 

$Forests[[65]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(748000, 945500, 912000,      753000, 685000, 680000, 7e+05, 8e+05, 680000, 620000, 438888,      476000, 475000, 537000, 5e+05, 375000, 355000, 510000, 688000,      407000), floor_area_sqm = c(107, 87, 87, 87, 93, 91, 93,      90, 85, 103, 80, 103, 103, 106, 103, 82, 82, 93, 85, 82),          storey_order = c(2L, 8L, 3L, 5L, 4L, 3L, 1L, 7L, 2L,          2L, 4L, 2L, 2L, 4L, 1L, 3L, 2L, 4L, 4L, 5L), remaining_lease_mths = c(899,          1143, 1142, 1104, 1115, 984, 625, 1063, 1066, 911, 601,          774, 781, 760, 773, 645, 656, 746, 964, 661), PROX_CBD = c(2.52364731081334,          2.51922626320824, 2.51922626320824, 2.5775653440094,          2.56060478168524, 2.86455481676114, 2.09358084499411,          2.97610984462207, 2.96405104980333, 2.86182045335715,          3.37234644442932, 3.09516181063763, 3.09516181063763,          3.12641734116327, 3.24578829573265, 3.68559345068932,          3.73116287154914, 3.46549777590634, 3.98134497452694,          3.63085360417079), PROX_ELDERLYCARE = c(0.132133546591398,          1.25853619714168e-06, 1.25853619714168e-06, 0.283170941801308,          0.303984777605612, 0.111411798512938, 0.442569764285143,          0.249991250520312, 0.206690358794928, 0.334062202372697,          0.401810150563083, 0.614909460801077, 0.614909460801077,          0.570344367187993, 0.461566734593474, 0.466665237090727,          0.501456868829436, 0.22080460703487, 0.168717999980802,          0.233260955843543), PROX_HAWKER = c(0.315417458803045,          0.187177165934232, 0.187177165934232, 0.447120961378381,          0.450094806637729, 0.302651224916382, 0.103399879312882,          0.405863058813757, 0.344572110572533, 0.231089093207534,          0.449139985411189, 0.524942013349153, 0.524942013349153,          0.582032517556358, 0.461305554076076, 0.28293755865871,          0.311969910328466, 0.288924403117312, 0.262344394473714,          0.0974836441417274), PROX_MRT = c(0.277076743329557,          0.243725266054354, 0.243725266054354, 0.499107329029013,          0.546591463865751, 0.391395986196982, 0.681532284353367,          0.337225216160626, 0.377919714857806, 0.819080841065402,          0.537190991659238, 1.19880844528061, 1.19880844528061,          1.19588154804183, 1.11057161001852, 1.17490863944549,          1.10221151459309, 0.855873415641472, 0.310254962870727,          0.897060452829867), PROX_PARK = c(0.163253442595557,          0.28862748451296, 0.28862748451296, 0.18481391877062,          0.21329655328302, 0.399002951856213, 0.400473707610266,          0.4671588721782, 0.495024008458079, 0.609617368578913,          0.408351250353425, 0.971409228458194, 0.971409228458194,          0.971029675538415, 0.856773721705297, 0.304435062988112,          0.271761978726623, 0.78484111030831, 0.894232249415992,          0.512523364266062), PROX_GOOD_PRISCH = c(4.61812725480087,          4.50145006484821, 4.50145006484821, 4.89009258041755,          4.93746215949662, 4.71207116352008, 4.81109980295855,          4.56048774292729, 4.62297298452196, 5.1514664212482,          3.70512913004722, 5.46565510857314, 5.46565510857314,          5.52416256345089, 5.51078547454581, 5.15997579188296,          5.22570836776045, 5.67094725420518, 3.868083844602, 5.4842432173218         ), PROX_MALL = c(0.290995843291254, 0.244046547559164,          0.244046547559164, 0.524781909718914, 0.572150632107275,          0.420489734799516, 0.685370188976197, 0.362094853274792,          0.404565296260845, 0.848351644608041, 0.743612757274357,          1.2281628510896, 1.2281628510896, 1.29251563056945, 1.33172083977874,          1.3376464242075, 1.41171259857663, 1.56665946009711,          1.18273225000282, 1.51733094855201), PROX_CHAS = c(0.0122221533760307,          0.0462846720247782, 0.0462846720247782, 0.0301364724824846,          0.0640474788759872, 0.110042750971165, 0.165994533154508,          0.111500209373212, 0.0506108453744785, 0.159666076311523,          0.499618186459994, 0.240903750709302, 0.240903750709302,          0.202999736112437, 0.0869328465249217, 0.216565147674259,          0.261237260735983, 0.173647795570322, 0.145112311632742,          0.318203164684035), PROX_SUPERMARKET = c(0.0373112013983995,          0.169442491353445, 0.169442491353445, 0.275738565320567,          0.315915165677582, 0.110042446678578, 0.346795592234613,          0.111500172768761, 0.0506107476035619, 0.360029455717415,          0.499617451823641, 0.240902416159861, 0.240902416159861,          0.202998478162502, 0.0869315055470345, 0.252487697752149,          0.301923436189205, 0.173649067116538, 0.252387257990654,          0.318204198369299), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L,          1L, 1L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(6L, 4L,          4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 3L,          3L, 1L, 3L, 1L), WITHIN_350M_BUS = c(6L, 4L, 4L, 3L,          3L, 7L, 7L, 4L, 7L, 4L, 8L, 4L, 4L, 5L, 6L, 10L, 9L,          9L, 12L, 11L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L,          3L, 4L, 1L, 3L, 4L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L,          1L, 2L), DNeighbour = c(0, 126.545285326896, 132.497135664571,          314.877369153589, 356.947148512646, 408.253991985913,          430.593390647677, 463.048483272099, 473.418931861366,          721.555381889395, 1035.07147145357, 1113.51054136369,          1118.93600639822, 1175.55101251429, 1237.47403485904,          1374.85626784789, 1448.00060713986, 1492.71853034947,          1494.11742924248, 1494.85769408687)), row.names = c("65",      "816", "550", "999", "390", "968", "824", "319", "389", "561",      "69", "126", "134", "48", "192", "683", "432", "454", "375",      "742"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.985718845907969,      0.984349293091061, 0.913229914291421, 0.889216005111582,      0.85638984411631, 0.840939141159963, 0.817303106573983, 0.809463993324945,      0.588302400319767, 0.270975000775085, 0.198143311684826,      0.193347238214034, 0.145603588597689, 0.0990442774755808,      0.023749290097364, 0.00380793800404799, 8.17949781262804e-06,      9.80436444873419e-07, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12567096570 
R squared (OOB):                  0.5759261 

$Forests[[66]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(495000, 437000, 398000,      415000, 525000, 530000, 420000, 550000, 589000, 490888, 460000,      532000, 498000, 510000, 550000, 412000, 455000, 520000, 545000,      535000), floor_area_sqm = c(93, 93, 93, 93, 97, 95, 93, 95,      96, 93, 92, 96, 93, 97, 98, 90, 93, 93, 93, 93), storey_order = c(5L,      2L, 1L, 2L, 3L, 4L, 1L, 4L, 6L, 5L, 3L, 4L, 2L, 2L, 4L, 3L,      4L, 4L, 5L, 4L), remaining_lease_mths = c(1080, 1076, 1077,      1071, 1098, 1106, 1101, 1115, 1111, 1141, 1107, 1111, 1102,      1104, 1103, 1034, 1096, 1118, 1127, 1118), PROX_CBD = c(14.2035293519974,      14.2040057462849, 14.2040057462849, 14.2040057462849, 14.3488328635023,      14.4087790426081, 14.3298082323417, 13.9206851659757, 13.8838492138892,      14.4799585140632, 14.2518409016409, 13.8842234613226, 13.8269911518463,      13.7787547800329, 13.7784857598507, 13.9701294998534, 14.3469943525049,      13.7912064237251, 13.8964286142315, 13.8964286142315), PROX_ELDERLYCARE = c(0.685279068417721,      0.732225931930739, 0.732225931930739, 0.732225931930739,      0.805205193908325, 0.87860471100088, 0.943112693551276, 0.410984632703067,      0.321249151015697, 1.06862824267944, 0.985840321219444, 0.284905700992106,      0.272443342502121, 0.357313426679343, 0.303554199654945,      0.798789790509628, 1.07571195137499, 0.194902312085005, 0.28821019895416,      0.28821019895416), PROX_HAWKER = c(0.384064154962602, 0.429643877236979,      0.429643877236979, 0.429643877236979, 0.28631929470226, 0.295591155505828,      0.494981643036057, 0.63246529422046, 0.661984274687099, 0.462243392197612,      0.656651462258042, 0.667389882084889, 0.718894335359525,      0.779750574682814, 0.771130061467184, 0.796241674024292,      0.654543769257927, 0.761066408094757, 0.700607063348248,      0.700607063348248), PROX_MRT = c(0.289240493397468, 0.339881548667158,      0.339881548667158, 0.339881548667158, 0.320519516131068,      0.258499173090988, 0.122691316210064, 0.247793554682504,      0.202599849124069, 0.082651796212049, 0.189142279194464,      0.172676244118343, 0.250191496834268, 0.373119808041594,      0.334453451125385, 0.262922949537813, 0.131478587775223,      0.263976344610204, 0.214342865325431, 0.214342865325431),          PROX_PARK = c(0.69423802629866, 0.735378016798131, 0.735378016798131,          0.735378016798131, 0.585388118838944, 0.572778275466331,          0.760551135167525, 0.9355470513087, 0.953674473627188,          0.682350458092963, 0.785709089572823, 0.946790994443363,          1.00953333913803, 1.07510958061046, 1.07038952907209,          0.929619749314005, 0.731552922713316, 1.03946212768551,          0.945155408432775, 0.945155408432775), PROX_GOOD_PRISCH = c(4.84858590291698,          4.87692111553996, 4.87692111553996, 4.87692111553996,          4.99658730632735, 5.07040230577432, 5.05687720866847,          4.55661004860153, 4.48950135049007, 5.20136656590841,          5.03443000866885, 4.46427355245829, 4.43409233459216,          4.43794264479214, 4.41640053984819, 4.76155598853922,          5.13548460888622, 4.37243865161908, 4.42474408393319,          4.42474408393319), PROX_MALL = c(0.37351280301214, 0.458083927679449,          0.458083927679449, 0.458083927679449, 0.415696526053807,          0.48422641650143, 0.644100917109673, 0.441605558767423,          0.415387276861254, 0.64848155368644, 0.535261743386166,          0.384398044205003, 0.464449368072494, 0.579723774298741,          0.546157830895501, 0.698652085628877, 0.480981762762808,          0.47180896375681, 0.36232957329041, 0.36232957329041),          PROX_CHAS = c(0.170907589664044, 0.0920652608940773,          0.0920652608940773, 0.0920652608940773, 0.232702657922268,          0.263312743704905, 0.116678641770301, 0.230184731543739,          0.130388475133542, 0.149921511006425, 0.121511881264649,          0.0936868185767241, 0.093713435160417, 0.2330532561781,          0.171232412843018, 0.224338502615803, 0.0578525184286013,          3.14247486029477e-08, 0.190952462752685, 0.190952462752685         ), PROX_SUPERMARKET = c(0.170908382081647, 0.0920659899308881,          0.0920659899308881, 0.0920659899308881, 0.232703172737007,          0.263313051629592, 0.116679779166118, 0.23018467784701,          0.130388583033251, 0.149922203205158, 0.121511691834874,          0.093687407280864, 0.0937132175773042, 0.233052713938452,          0.171231859107883, 0.281017798180362, 0.0704323341151683,          8.52808058992138e-07, 0.190953240917096, 0.190953240917096         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 1L, 1L, 1L, 2L, 1L, 1L, 0L, 0L, 2L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 5L, 6L, 6L,          7L, 4L, 3L, 6L, 10L, 3L, 5L, 4L, 5L, 7L, 7L, 4L, 4L,          4L), WITHIN_350M_BUS = c(9L, 9L, 9L, 9L, 9L, 10L, 9L,          13L, 9L, 6L, 9L, 7L, 8L, 11L, 7L, 13L, 8L, 8L, 9L, 9L         ), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 6L, 5L, 5L,          5L, 5L, 4L, 6L, 5L, 5L, 8L, 6L, 8L, 4L, 5L, 5L, 5L),          DNeighbour = c(0, 82.9514352900066, 84.200152879419,          86.8933873493625, 147.726774441684, 217.919261685739,          291.936848196915, 292.637478937446, 365.380583600691,          393.60629033175, 408.955551673437, 412.856191726473,          414.324837247565, 430.672774259206, 439.714550720228,          443.31128492047, 460.331266829818, 496.094873826039,          533.814560689682, 534.625626660917)), row.names = c("66",      "911", "448", "272", "363", "969", "688", "516", "723", "979",      "73", "670", "376", "549", "837", "301", "488", "420", "442",      "760"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.952431556500842,      0.951006737951179, 0.9478649932151, 0.853126125366266, 0.695311342974044,      0.492551529308017, 0.490542243920643, 0.284003595628573,      0.20973515844816, 0.172116774197856, 0.162936829696357, 0.159523602971263,      0.123252831574601, 0.104678123006768, 0.0976114071212107,      0.0668838295105553, 0.0193062412095873, 9.19207801703373e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1269091547 
R squared (OOB):                  0.582919 

$Forests[[67]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(323000, 445000, 338000,      348000, 309000, 345000, 480000, 388000, 385000, 366800, 350880,      430000, 330000, 360000, 361000, 328000, 333000, 4e+05, 335000,      315000), floor_area_sqm = c(92, 100, 93, 93, 91, 91, 104,      104, 104, 105, 91, 91, 84, 103, 84, 84, 84, 103, 84, 91),          storey_order = c(2L, 3L, 5L, 4L, 2L, 3L, 2L, 3L, 4L,          2L, 2L, 4L, 3L, 1L, 4L, 4L, 3L, 3L, 2L, 1L), remaining_lease_mths = c(690,          949, 860, 777, 774, 773, 777, 751, 740, 761, 785, 777,          791, 798, 794, 806, 823, 796, 796, 722), PROX_CBD = c(9.445702961959,          9.38671442358298, 9.71808261065178, 9.5834162789491,          9.64616581570663, 9.63489497584329, 8.81196120759187,          10.2659136784881, 10.2659136784881, 8.5913881835975,          10.3813809316332, 10.4167519306418, 9.73525531751342,          10.1540744969693, 10.1908965186918, 10.2439629519707,          9.85122377146013, 10.2571858212528, 10.2571858212528,          8.21547938057256), PROX_ELDERLYCARE = c(0.0646727834979237,          0.197320443098403, 0.288600487645686, 0.221128007339761,          0.306199433665808, 0.42629854090558, 0.68560621126507,          0.737818764037149, 0.737818764037149, 0.675108088860868,          0.833489789321986, 0.852176862644424, 0.869795033999967,          0.85844301108046, 0.891997547710976, 0.904720646157319,          0.999223533815273, 0.969336561855173, 0.969336561855173,          0.425001866306461), PROX_HAWKER = c(0.802499530175562,          0.671765492644128, 1.10941781168001, 0.844035637065003,          0.906506968115566, 0.908741650371918, 0.290355020850324,          1.65941342147148, 1.65941342147148, 0.151496134675632,          1.5910354083573, 1.55256346901264, 0.687117415591119,          0.614574465644474, 0.594526114354717, 0.616195579705155,          0.526313717816828, 0.543600998034675, 0.543600998034675,          0.272525769496456), PROX_MRT = c(0.834535111428891, 0.671695564859285,          0.750225097750018, 0.679762822214213, 0.626377719466395,          0.669484450879797, 0.425157896719621, 0.684374477874155,          0.684374477874155, 0.864705124656065, 0.699917284291438,          0.686459009674335, 0.86810604264512, 0.544743966599557,          0.554399001312584, 0.52596302633555, 0.907717901248049,          0.5984056038899, 0.5984056038899, 0.877462529610437),          PROX_PARK = c(0.508498628446561, 0.409638708762546, 0.552878075981585,          0.171128410914521, 0.106198450905693, 0.197084482081202,          0.468007817587664, 0.570788416471153, 0.570788416471153,          0.545921527880028, 0.616002692100522, 0.613918856542286,          0.452373350223662, 0.578916018382343, 0.61263038213259,          0.626908579085899, 0.510337594738446, 0.690393008756984,          0.690393008756984, 0.34344129155164), PROX_GOOD_PRISCH = c(2.16640973416033,          1.96445822173508, 2.3197363622043, 1.81796659730331,          1.71137279935344, 1.59153495480405, 2.18636815139252,          2.58742850928016, 2.58742850928016, 2.65365036334729,          2.6286340652406, 2.62113030487697, 1.15234422615158,          1.40445923276907, 1.40421671412888, 1.44855804010835,          1.05242409875061, 1.38840710840139, 1.38840710840139,          2.64672046335999), PROX_MALL = c(0.855253012280219, 0.704978058880463,          0.64580888250568, 0.812301361871699, 0.808294932987377,          0.873569112263515, 0.389401354829447, 0.364765391124967,          0.364765391124967, 0.81045000642783, 0.365493224544838,          0.350991485118426, 0.907839978504126, 0.685950169481642,          0.685823836221668, 0.644656189163291, 0.756051767526383,          0.638527944164543, 0.638527944164543, 0.807676293785945         ), PROX_CHAS = c(0.378465676389041, 0.181909444046462,          0.122290728478786, 0.334146331647452, 0.415210445937219,          0.454068185577158, 0.210741683871549, 0.204257711541377,          0.204257711541377, 0.0629474356823598, 0.28517644723447,          0.302383860370021, 0.116614388177292, 0.170954716034814,          0.151788880767358, 0.155315138624813, 3.39583191183935e-08,          0.0819899420632749, 0.0819899420632749, 0.136581974857907         ), PROX_SUPERMARKET = c(0.234896025437738, 0.448356351676465,          0.190117050177684, 0.581458245406798, 0.675617328849562,          0.717910522287554, 0.365648379234028, 0.384238743245603,          0.384238743245603, 0.140831249897628, 0.49431722643315,          0.519095500550079, 0.458729641056945, 0.171715993026927,          0.152401712794372, 0.18505229065347, 0.350225948243757,          0.123486578338512, 0.123486578338512, 0.281285688066644         ), WITHIN_350M_KINDERGARTEN = c(3L, 2L, 0L, 1L, 1L, 0L,          2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L, 3L, 1L, 1L,          3L, 6L, 6L, 0L, 6L, 6L, 2L, 2L, 2L, 1L, 3L, 2L, 2L, 2L         ), WITHIN_350M_BUS = c(10L, 9L, 6L, 7L, 8L, 5L, 7L, 8L,          8L, 8L, 10L, 9L, 10L, 14L, 12L, 10L, 10L, 10L, 10L, 8L         ), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 4L, 4L, 3L, 1L,          2L, 2L, 2L, 2L, 2L, 4L, 5L, 6L, 6L, 4L, 5L, 5L, 2L),          DNeighbour = c(0, 211.473626349354, 309.924564055997,          370.976203814983, 499.539165284206, 601.684842305089,          644.077566751639, 870.71959155664, 873.985333960603,          924.526806804409, 984.198330220736, 1012.23476755463,          1053.17912352619, 1121.52557484181, 1153.99548663057,          1174.43529009699, 1199.88137974339, 1233.42641484373,          1235.00764660005, 1243.02310115823)), row.names = c("67",      "373", "624", "799", "785", "273", "465", "77", "501", "894",      "626", "480", "921", "560", "447", "668", "129", "494", "591",      "691"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.942950340707195,      0.879532430585197, 0.829792622921979, 0.703077160522899,      0.586290332222381, 0.535116077499884, 0.259407004774474,      0.255664250621647, 0.199632010067871, 0.139194370354159,      0.11347581655666, 0.079597076402439, 0.0345712107264334,      0.0190754801021401, 0.0115158261962907, 0.00465255068078413,      0.000236583665909544, 0.000165254347861248, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2286236029 
R squared (OOB):                  -0.09857843 

$Forests[[68]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(535000, 480000, 468888,      688000, 653000, 478000, 5e+05, 745000, 742000, 729999, 5e+05,      682000, 4e+05, 4e+05, 360000, 7e+05, 413888, 363000, 649888,      680000), floor_area_sqm = c(92, 92, 92, 90, 91, 92, 91, 100,      92, 100, 91, 100, 104, 92, 92, 95, 88, 97, 87, 104), storey_order = c(3L,      3L, 3L, 6L, 2L, 4L, 1L, 10L, 7L, 6L, 2L, 10L, 4L, 3L, 2L,      3L, 2L, 4L, 3L, 4L), remaining_lease_mths = c(694, 692, 701,      985, 1121, 716, 690, 1122, 1104, 1122, 706, 1120, 745, 708,      719, 1100, 668, 701, 1103, 806), PROX_CBD = c(9.76973796844692,      9.76973796844692, 9.79963982832759, 9.84174458192399, 9.51816518584724,      9.58813304663833, 10.2183960492338, 9.28682806708392, 9.57467117229508,      9.41601606571959, 10.2657373615824, 9.28682806708392, 9.4187827620762,      10.1748545259067, 10.2629321739313, 7.97001655790022, 7.88501742637481,      12.1013944735855, 7.02256530608061, 10.251706958731), PROX_ELDERLYCARE = c(0.487200680071974,      0.487200680071974, 0.390845215421192, 0.339166460968835,      0.0590206014568566, 0.251441869005946, 0.670964346371623,      0.306248896776786, 0.0836678964153836, 0.14515851054369,      0.519949541574078, 0.306248896776786, 0.579996323717894,      0.889757070081441, 1.00265829049513, 0.682273370470252, 0.487583248392117,      2.41403538414825, 0.467453442926814, 0.2905717823942), PROX_HAWKER = c(0.323134910569429,      0.323134910569429, 0.315572935590663, 0.272020065995023,      0.5145461029689, 0.391674386653945, 0.161327078165055, 0.449541776391294,      0.628838904549623, 0.552624576950901, 0.527790221924738,      0.449541776391294, 0.508914568418093, 0.304343114187016,      0.370496257898541, 0.840126401207934, 0.645875214067525,      0.561617227785994, 0.207247650371579, 0.185152730473859),          PROX_MRT = c(0.307725216106606, 0.307725216106606, 0.308409661615337,          0.348847208140378, 0.689820066215858, 0.707146681079003,          0.352113639571012, 0.819017740329599, 0.731513991246432,          0.796240617220745, 0.351828842975553, 0.819017740329599,          1.21403827268849, 1.12559589355515, 1.21137251272603,          0.726942522279936, 0.707952731476156, 1.71497473755306,          0.409658939160285, 0.329298986744561), PROX_PARK = c(0.692980820038259,          0.692980820038259, 0.556935587195362, 0.429024269124863,          0.506309566114581, 0.630094576064042, 0.412720152963846,          0.754667699158598, 0.402026431996325, 0.579398729399101,          0.752867192571236, 0.754667699158598, 0.633868788719276,          0.326884491561474, 0.429817985649402, 0.618444971248099,          0.511064020035708, 0.181629272169071, 0.380160428577633,          0.433052663426989), PROX_GOOD_PRISCH = c(0.945616550360875,          0.945616550360875, 0.97109568154285, 0.999365026226873,          1.35033962190844, 1.10432321767326, 0.778258345851083,          1.50498632547922, 1.37880970746963, 1.45792936689373,          0.402201611323318, 1.50498632547922, 1.8319493658717,          1.53712936271762, 1.58756538029025, 2.78644315018514,          2.82520953766913, 1.52909264222103, 2.07008813823767,          0.178279914989512), PROX_MALL = c(0.3113714109904, 0.3113714109904,          0.277854565241424, 0.188176716989659, 0.508727078362918,          0.759347764163403, 0.1993183735571, 0.732362808464395,          0.493679276753517, 0.616886214909116, 0.347570072991699,          0.732362808464395, 0.308706652763352, 0.493589384976364,          0.573348708551386, 0.66906173274608, 0.535655644340599,          1.69674818443598, 0.395390786334096, 0.409325390211749         ), PROX_CHAS = c(0.164045702260751, 0.164045702260751,          0.213793078898363, 0.139131199666608, 0.0590210156667789,          0.395290416984683, 0.176868193181362, 0.30624919123722,          0.0836673580931749, 0.145158576319141, 0.329846033180528,          0.30624919123722, 0.308706623046814, 0.118978706369709,          0.166187985395119, 0.195243012850588, 0.102679570293108,          0.26797195188846, 0.278446199404133, 0.239000132427376         ), PROX_SUPERMARKET = c(0.329801606095394, 0.329801606095394,          0.217115292225756, 0.139131268426574, 0.0642147642973091,          0.20799335196523, 0.245740902557878, 0.309780650655361,          0.0769150331708007, 0.145877744762322, 0.353445486406562,          0.309780650655361, 0.31508799294366, 0.371852561025965,          0.394772134126693, 0.169510705521186, 0.158953339299884,          0.570395350553557, 0.0888694671696128, 0.258988936146552         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 0L,          0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 4L, 1L, 2L,          6L, 1L, 2L, 1L, 4L, 1L, 4L, 3L, 1L, 0L, 1L, 1L, 3L, 2L         ), WITHIN_350M_BUS = c(11L, 11L, 11L, 9L, 7L, 7L, 6L,          7L, 7L, 8L, 10L, 7L, 3L, 8L, 7L, 7L, 5L, 10L, 10L, 6L         ), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 2L, 4L,          1L, 2L, 2L, 3L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 2L),          DNeighbour = c(0, 7.75694436174544, 139.20488357241,          262.815931486207, 470.779697348366, 535.008623802189,          548.593447093998, 564.991335375519, 565.615100305882,          568.467830259078, 568.796873502765, 572.543951607379,          1063.3449265201, 1180.9501613433, 1277.97607248174, 1846.64880553987,          1904.75088402379, 2334.96224911638, 2782.3368934504,          2788.43622529312)), row.names = c("68", "926", "943",      "268", "983", "640", "584", "308", "551", "928", "649", "794",      "278", "245", "244", "904", "338", "40", "221", "775"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999984522948213, 0.995021758181649, 0.982312004277777,      0.943803431143654, 0.927729373019879, 0.924085896242807,      0.919576222559806, 0.919402276619169, 0.918604516012078,      0.918512263864362, 0.917458278695417, 0.730305400285449,      0.673439088064993, 0.624019988431314, 0.315194272148986,      0.284503868176656, 0.0892849259191902, 1.90964483616647e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7281659969 
R squared (OOB):                  0.6144097 

$Forests[[69]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(438888, 688000, 805000,      8e+05, 680000, 472000, 912000, 945500, 680000, 748000, 530000,      753000, 820000, 825000, 685000, 552000, 840000, 7e+05, 620000,      750000), floor_area_sqm = c(80, 85, 104, 90, 85, 84, 87,      87, 91, 107, 111, 87, 87, 87, 93, 100, 87, 93, 103, 90),          storey_order = c(4L, 4L, 3L, 7L, 2L, 2L, 3L, 8L, 3L,          2L, 1L, 5L, 9L, 5L, 4L, 1L, 14L, 1L, 2L, 11L), remaining_lease_mths = c(601,          964, 919, 1063, 1066, 799, 1142, 1143, 984, 899, 767,          1104, 1136, 1136, 1115, 910, 1141, 625, 911, 1035), PROX_CBD = c(3.37234644442932,          3.98134497452694, 4.1456930527125, 2.97610984462207,          2.96405104980333, 4.27761841825855, 2.51922626320824,          2.51922626320824, 2.86455481676114, 2.52364731081334,          4.3501519248406, 2.5775653440094, 4.59114385332588, 4.59114385332588,          2.56060478168524, 4.64904487497998, 4.70219035054856,          2.09358084499411, 2.86182045335715, 4.88070069409732),          PROX_ELDERLYCARE = c(0.401810150563083, 0.168717999980802,          0.45180890917037, 0.249991250520312, 0.206690358794928,          0.0937624362906392, 1.25853619714168e-06, 1.25853619714168e-06,          0.111411798512938, 0.132133546591398, 0.203630745919553,          0.283170941801308, 0.125633226962327, 0.125633226962327,          0.303984777605612, 0.374326446996408, 0.200702517977741,          0.442569764285143, 0.334062202372697, 0.312658206579851         ), PROX_HAWKER = c(0.449139985411189, 0.262344394473714,          0.668394095052703, 0.405863058813757, 0.344572110572533,          0.566432501893156, 0.187177165934232, 0.187177165934232,          0.302651224916382, 0.315417458803045, 0.509657348502929,          0.447120961378381, 0.762382071136897, 0.762382071136897,          0.450094806637729, 0.28049665267082, 0.646528219825606,          0.103399879312882, 0.231089093207534, 0.595417483526792         ), PROX_MRT = c(0.537190991659238, 0.310254962870727,          0.413017272318271, 0.337225216160626, 0.377919714857806,          0.40356540460373, 0.243725266054354, 0.243725266054354,          0.391395986196982, 0.277076743329557, 0.533693046359433,          0.499107329029013, 0.586728793826683, 0.586728793826683,          0.546591463865751, 0.763812758173444, 0.491479629856663,          0.681532284353367, 0.819080841065402, 0.314337158810329         ), PROX_PARK = c(0.408351250353425, 0.894232249415992,          1.16828897329218, 0.4671588721782, 0.495024008458079,          1.11098670131371, 0.28862748451296, 0.28862748451296,          0.399002951856213, 0.163253442595557, 0.941534540217125,          0.18481391877062, 1.65596921250538, 1.65596921250538,          0.21329655328302, 1.08394438059851, 1.77379186206272,          0.400473707610266, 0.609617368578913, 1.53366372097489         ), PROX_GOOD_PRISCH = c(3.70512913004722, 3.868083844602,          3.20846684942761, 4.56048774292729, 4.62297298452196,          3.63213704613537, 4.50145006484821, 4.50145006484821,          4.71207116352008, 4.61812725480087, 3.77462248476967,          4.89009258041755, 2.86977258716747, 2.86977258716747,          4.93746215949662, 3.57098970158234, 2.79995758206102,          4.81109980295855, 5.1514664212482, 3.0451226436528),          PROX_MALL = c(0.743612757274357, 1.18273225000282, 1.18405339004253,          0.362094853274792, 0.404565296260845, 0.890632544268956,          0.244046547559164, 0.244046547559164, 0.420489734799516,          0.290995843291254, 0.812522711759855, 0.524781909718914,          0.992224857230604, 0.992224857230604, 0.572150632107275,          0.528365937160055, 0.970860317849455, 0.685370188976197,          0.848351644608041, 0.63262312230698), PROX_CHAS = c(0.499618186459994,          0.145112311632742, 0.401816380076581, 0.111500209373212,          0.0506108453744785, 0.116543108560641, 0.0462846720247782,          0.0462846720247782, 0.110042750971165, 0.0122221533760307,          0.237239443458304, 0.0301364724824846, 0.156405874770629,          0.156405874770629, 0.0640474788759872, 0.251376462502101,          0.0639130956899198, 0.165994533154508, 0.159666076311523,          0.278004299073392), PROX_SUPERMARKET = c(0.499617451823641,          0.252387257990654, 0.431453687618191, 0.111500172768761,          0.0506107476035619, 0.205058734443685, 0.169442491353445,          0.169442491353445, 0.110042446678578, 0.0373112013983995,          0.125937465506006, 0.275738565320567, 0.156405662038775,          0.156405662038775, 0.315915165677582, 0.311533400888457,          0.0639125072278545, 0.346795592234613, 0.360029455717415,          0.278004958714438), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L,          0L, 2L, 1L, 1L, 5L), WITHIN_350M_CHILDCARE = c(2L, 3L,          1L, 3L, 3L, 5L, 4L, 4L, 4L, 6L, 5L, 4L, 3L, 3L, 4L, 2L,          4L, 4L, 3L, 5L), WITHIN_350M_BUS = c(8L, 12L, 7L, 4L,          7L, 14L, 4L, 4L, 7L, 6L, 13L, 3L, 7L, 7L, 3L, 12L, 7L,          7L, 4L, 8L), WITHIN_1KM_PRISCH = c(3L, 1L, 2L, 3L, 4L,          1L, 2L, 2L, 4L, 2L, 1L, 2L, 1L, 1L, 3L, 2L, 1L, 1L, 3L,          1L), DNeighbour = c(0, 727.120682634603, 795.547576985698,          856.10653211543, 915.833766833166, 938.125904771225,          954.305234943395, 962.18865659846, 1012.6655328658, 1035.07147145357,          1049.03713996904, 1237.513752725, 1270.11388718647, 1275.115370905,          1286.70401923693, 1296.48642095056, 1390.79897760426,          1393.96412314762, 1445.9126938774, 1514.95427800841)), row.names = c("69",      "375", "320", "319", "389", "709", "550", "816", "968", "65",      "348", "999", "768", "333", "390", "140", "854", "824", "561",      "39"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.592340116541498,      0.524521744943028, 0.463294783525063, 0.402646989525915,      0.380118155893856, 0.363845944263376, 0.355947608701069,      0.306007655697435, 0.284289885503494, 0.270927071249031,      0.110709849314341, 0.0882753977297399, 0.0850102433172367,      0.0776345044459472, 0.071620087794421, 0.0247086997988743,      0.0235160859949683, 0.00793343344542472, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10350205670 
R squared (OOB):                  0.4522594 

$Forests[[70]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(475000, 455000, 460000,      455000, 460000, 465000, 485000, 470000, 420000, 490888, 465000,      450000, 450000, 450000, 452000, 412000, 403000, 530000, 545000,      415000), floor_area_sqm = c(92, 92, 92, 93, 92, 95, 95, 93,      93, 93, 90, 90, 95, 94, 95, 90, 90, 95, 93, 93), storey_order = c(5L,      5L, 3L, 4L, 3L, 4L, 6L, 5L, 1L, 5L, 5L, 2L, 3L, 4L, 3L, 3L,      3L, 4L, 3L, 2L), remaining_lease_mths = c(1098, 1108, 1097,      1096, 1107, 1110, 1113, 1125, 1101, 1141, 1132, 1134, 1126,      1123, 1121, 1034, 1053, 1106, 1134, 1071), PROX_CBD = c(14.3437499696049,      14.2694643570804, 14.2694643570804, 14.3469943525049, 14.2518409016409,      14.3101587663686, 14.2445424628862, 14.2374266118925, 14.3298082323417,      14.4799585140632, 14.6796515041342, 14.6796515041342, 14.1366846915735,      14.0429369190019, 14.2856092918761, 13.9701294998534, 14.2313196249897,      14.4087790426081, 14.4432157047801, 14.2040057462849), PROX_ELDERLYCARE = c(1.14464302293932,      1.14423906696184, 1.14423906696184, 1.07571195137499, 0.985840321219444,      1.29024298571696, 1.24643506877499, 1.2819446304668, 0.943112693551276,      1.06862824267944, 1.45102259724198, 1.45102259724198, 1.17371591683522,      1.1015647640471, 1.29536834443332, 0.798789790509628, 1.23431696680562,      0.87860471100088, 1.44181352445962, 0.732225931930739), PROX_HAWKER = c(0.74882220835846,      0.826638245470088, 0.826638245470088, 0.654543769257927,      0.656651462258042, 0.961388959141492, 0.968852406622053,      1.02089221118434, 0.494981643036057, 0.462243392197612, 0.836784965651702,      0.836784965651702, 1.09084844555913, 1.07710025413616, 1.14967766552968,      0.796241674024292, 1.20453145676494, 0.295591155505828, 1.1926703176924,      0.429643877236979), PROX_MRT = c(0.217663394995295, 0.30438768875815,      0.30438768875815, 0.131478587775223, 0.189142279194464, 0.148967878322013,      0.184117552261459, 0.148741201515391, 0.122691316210064,      0.082651796212049, 0.391052893274669, 0.391052893274669,      0.218319465176875, 0.324573358240557, 0.0748886383392391,      0.262922949537813, 0.14509881944895, 0.258499173090988, 0.142722405117506,      0.339881548667158), PROX_PARK = c(0.636899975343007, 0.599699049952129,      0.599699049952129, 0.731552922713316, 0.785709089572823,      0.444639968372477, 0.481320095248247, 0.440474428767772,      0.760551135167525, 0.682350458092963, 0.566439778554251,      0.566439778554251, 0.474063272255088, 0.58019258504408, 0.297003339879563,      0.929619749314005, 0.30799989212087, 0.572778275466331, 0.164631246691225,      0.735378016798131), PROX_GOOD_PRISCH = c(5.1680916684458,      5.12184985907385, 5.12184985907385, 5.13548460888622, 5.03443000866885,      5.21803047984022, 5.1542412945362, 5.16870486361587, 5.05687720866847,      5.20136656590841, 5.51577006817018, 5.51577006817018, 5.09375212835948,      4.9857651679507, 5.27158847877433, 4.76155598853922, 5.24106386657147,      5.07040230577432, 5.44062149940817, 4.87692111553996), PROX_MALL = c(0.38589862433106,      0.351657486288216, 0.351657486288216, 0.480981762762808,      0.535261743386166, 0.199960318099191, 0.248497232357685,      0.22058685557285, 0.644100917109673, 0.64848155368644, 0.38618207223371,      0.38618207223371, 0.295276560881227, 0.401409437181884, 0.136646142991964,      0.698652085628877, 0.200492724858517, 0.48422641650143, 0.0864828813466827,      0.458083927679449), PROX_CHAS = c(0.0401042229543167, 0.120456720485379,      0.120456720485379, 0.0578525184286013, 0.121511881264649,      0.199960275799137, 0.185564313785613, 0.177995101264401,      0.116678641770301, 0.149921511006425, 0.367772140885018,      0.367772140885018, 0.0995517477546361, 0.0207330025336023,      0.136646133179357, 0.224338502615803, 0.200492722653611,      0.263312743704905, 0.0864829242311455, 0.0920652608940773     ), PROX_SUPERMARKET = c(0.165776473264822, 0.244158473149448,      0.244158473149448, 0.0704323341151683, 0.121511691834874,      0.199173279096103, 0.185564776027004, 0.177995229543633,      0.116679779166118, 0.149922203205158, 0.0442147517112349,      0.0442147517112349, 0.0995512052866983, 0.0207321820187816,      0.146294584623949, 0.281017798180362, 0.210915135620544,      0.263313051629592, 0.0916346746399726, 0.0920659899308881     ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 2L, 1L, 1L,      0L, 2L, 1L, 1L, 1L, 0L, 1L, 0L, 2L, 0L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(8L,      10L, 10L, 7L, 10L, 8L, 9L, 8L, 7L, 6L, 4L, 4L, 8L, 6L, 6L,      7L, 6L, 6L, 4L, 5L), WITHIN_350M_BUS = c(8L, 9L, 9L, 8L,      9L, 6L, 7L, 6L, 9L, 6L, 4L, 4L, 8L, 9L, 8L, 13L, 6L, 10L,      5L, 9L), WITHIN_1KM_PRISCH = c(5L, 6L, 6L, 4L, 6L, 7L, 7L,      7L, 5L, 4L, 4L, 4L, 7L, 7L, 7L, 8L, 6L, 5L, 5L, 5L), DNeighbour = c(0,      89.8766084398445, 94.9817491662135, 104.229692885772, 165.877173179607,      216.507938324315, 225.551874235378, 276.611931012576, 277.097497186426,      300.196046732164, 344.92275628713, 345.681559798333, 355.547617197878,      385.417636735734, 395.613361972176, 406.414124286442, 456.774116927733,      467.127602253841, 467.734918787029, 476.242960660683)), row.names = c("70",      "470", "434", "488", "73", "142", "349", "537", "688", "979",      "996", "405", "76", "754", "32", "301", "283", "969", "240",      "272"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.930037911994126,      0.92202976422218, 0.906496454758181, 0.772086538919563, 0.62936261973958,      0.601705307448806, 0.439100942147864, 0.437531314096663,      0.363209539441394, 0.226053086592925, 0.223861391298937,      0.195927205990777, 0.119061705827335, 0.0960648616112765,      0.07384810500398, 0.0064142403096932, 0.00143746692810894,      0.00125391643457092, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1252220443 
R squared (OOB):                  -0.005248907 

$Forests[[71]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 465000, 418000,      4e+05, 418000, 380000, 390000, 650000, 385000, 388000, 350888,      377000, 4e+05, 380000, 360000, 655000, 640000, 352000, 380000,      398000), floor_area_sqm = c(91, 104, 91, 92, 92, 92, 92,      104, 91, 98, 93, 98, 98, 93, 83, 87, 87, 84, 92, 92), storey_order = c(4L,      3L, 5L, 4L, 4L, 4L, 1L, 3L, 1L, 2L, 3L, 3L, 4L, 3L, 3L, 1L,      4L, 2L, 1L, 3L), remaining_lease_mths = c(741, 760, 774,      690, 691, 695, 711, 815, 715, 728, 712, 735, 718, 724, 803,      1123, 1121, 800, 767, 714), PROX_CBD = c(8.70456515841861,      8.64488888098128, 9.35032791665702, 9.59976569988281, 9.61422948612377,      9.61422948612377, 9.71066487891121, 7.71625132507906, 8.8262745849674,      8.19895861369783, 9.68679892421183, 8.07728506382532, 9.5915755681771,      9.50206510185676, 8.52567265657093, 9.39818328429371, 9.42381765287156,      8.28689365911172, 8.01258306529517, 9.95525560808738), PROX_ELDERLYCARE = c(0.1203423949077,      0.17844978767297, 0.227789996497476, 0.239547661796275, 0.28812103687201,      0.28812103687201, 0.385358274245319, 1.13999552495818, 0.896855030989675,      1.1658248464307, 0.35495808488012, 1.22552837794249, 0.558000418748021,      0.619429799229152, 1.23693676843424, 0.718190414835305, 0.750155484045513,      1.3668692597991, 1.38923408288603, 0.150508443509651), PROX_HAWKER = c(0.867862446497739,      0.917919654697093, 0.508896406641727, 0.436761476721694,      0.398658919868918, 0.398658919868918, 0.39402887106119, 0.888477780938884,      0.311054993693233, 0.391405491562813, 0.221606053969191,      0.503102516785602, 0.434568479089541, 0.518318645141504,      0.0724679807682574, 0.640059738279374, 0.667492197519696,      0.269406334629514, 0.532883444787396, 0.153089379504462),          PROX_MRT = c(0.97670571404933, 0.91698472228942, 0.569946398217962,          0.619962862184004, 0.667432439829923, 0.667432439829923,          0.746020760246364, 0.227897729387739, 0.17731989795878,          0.707144761815547, 0.760373725070279, 0.711885268750489,          0.656590823238566, 0.533910829474844, 0.510058766918036,          0.401734036242065, 0.423547456258288, 0.467794692056616,          0.57194553577364, 0.521845664201362), PROX_PARK = c(0.288616932786395,          0.238119977580318, 0.726258134328713, 0.957886982704992,          0.922231693079911, 0.922231693079911, 0.914740437498633,          0.374132090410645, 0.458605630557841, 0.372450573927522,          0.664893225436512, 0.413960848298732, 0.355705093322714,          0.26219477257436, 0.557643312318536, 0.220484561261844,          0.258916726718906, 0.570592214216024, 0.580004121625521,          0.730503149795042), PROX_GOOD_PRISCH = c(2.418607930925,          2.37381492496372, 2.41566392235711, 2.35345437748376,          2.38715383730665, 2.38715383730665, 2.31351362539819,          1.93537396204111, 2.8424495793979, 2.73491137460549,          2.17803171840573, 2.66084492380109, 2.11809049366399,          2.18628235132699, 3.13534109620979, 2.27458198186913,          2.24680049319454, 2.99359805566516, 2.75227504535898,          2.01039924795066), PROX_MALL = c(0.948870628363287, 1.00281364182829,          0.406203001531397, 0.387669919047214, 0.43353114329251,          0.43353114329251, 0.505770857705003, 1.9342939090943,          1.64561868645684, 1.94983703099632, 0.796976758090547,          2.0316459728171, 1.22478662403239, 1.32833110917602,          1.96281231550532, 1.45650167595406, 1.48330987402926,          2.09618768409308, 2.11322307221905, 0.757457219803541         ), PROX_CHAS = c(0.27140983829104, 0.256340531367836,          0.146235674893272, 0.263208245292117, 0.28666502826278,          0.28666502826278, 0.255589678637005, 0.147762521806201,          0.221229860630612, 0.293834776478611, 0.0707228333244178,          0.279534674537085, 0.346218272658546, 0.219477506246216,          0.169369143123463, 0.109789289200213, 0.0719365450960561,          0.229330661012247, 0.1333322783253, 0.144412947448491         ), PROX_SUPERMARKET = c(0.221415122113844, 0.24778575064029,          0.347306649978202, 0.44091986097032, 0.396736556610776,          0.396736556610776, 0.363062686357781, 0.185503456748824,          0.221249484047241, 0.293834967432244, 0.128382981112681,          0.412975566732202, 0.300584979098838, 0.191210069763785,          0.169391527985645, 0.13637298984998, 0.100679215951394,          0.266710264104055, 0.475213328012689, 0.204623167766534         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 1L, 2L, 2L, 2L,          1L, 3L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 5L, 4L, 3L, 3L,          2L, 3L, 2L, 3L, 3L, 2L, 5L, 6L, 3L, 6L, 6L, 2L, 2L, 3L         ), WITHIN_350M_BUS = c(9L, 8L, 9L, 11L, 11L, 11L, 13L,          6L, 5L, 7L, 10L, 6L, 5L, 2L, 8L, 6L, 5L, 7L, 6L, 9L),          WITHIN_1KM_PRISCH = c(2L, 2L, 3L, 3L, 4L, 4L, 4L, 3L,          2L, 1L, 4L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 4L), DNeighbour = c(0,          63.7575589261245, 655.087821815358, 893.26229546133,          906.33111018947, 910.790182918417, 1008.99690145228,          1022.36712170982, 1040.04863011081, 1062.21880979697,          1064.41441699, 1123.05029466862, 1199.60644109272, 1209.97180917561,          1225.11885218676, 1240.31567251763, 1270.77362480014,          1279.91154314251, 1280.00422035533, 1282.5461371601)), row.names = c("71",      "487", "37", "964", "499", "603", "776", "809", "814", "29",      "946", "395", "746", "539", "404", "657", "9", "266", "200",      "971"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.995063599293137,      0.546287477014203, 0.265144167534539, 0.250624257125027,      0.245716510383081, 0.145222884994024, 0.132911241981518,      0.117238284544966, 0.0986377985267776, 0.0968628495645311,      0.0544066878437455, 0.0156635370769217, 0.0120934620513528,      0.0076644962131545, 0.00419514191432685, 0.000333930997945827,      1.68441390530754e-05, 1.5681062791256e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9511850032 
R squared (OOB):                  0.03150209 

$Forests[[72]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(374000, 370000, 375000,      365000, 356888, 345000, 370000, 412000, 395000, 390000, 450000,      330000, 365000, 435000, 369988, 510000, 437000, 550000, 450000,      550000), floor_area_sqm = c(94, 90, 90, 90, 91, 85, 90, 90,      90, 100, 94, 85, 91, 94, 91, 97, 94, 98, 95, 95), storey_order = c(3L,      3L, 4L, 3L, 5L, 6L, 2L, 3L, 1L, 6L, 4L, 4L, 5L, 2L, 4L, 2L,      3L, 4L, 3L, 4L), remaining_lease_mths = c(987, 997, 986,      979, 963, 968, 1016, 1034, 997, 942, 1123, 992, 993, 1113,      1002, 1104, 1120, 1103, 1126, 1115), PROX_CBD = c(13.4804039164095,      13.5299248791723, 13.5741440973944, 13.6373310118807, 13.1584578321731,      13.131637538161, 13.0393088300804, 13.9701294998534, 13.4480864429089,      12.9172885276263, 14.0429369190019, 13.0825190214061, 13.2138793761114,      14.0214886887106, 13.2138793761114, 13.7787547800329, 14.0691382395842,      13.7784857598507, 14.1366846915735, 13.9206851659757), PROX_ELDERLYCARE = c(0.746393599063579,      0.737190256849548, 0.759293685927778, 0.753498484846986,      0.528614390300154, 0.425459762987539, 0.38924985743242, 0.798789790509628,      0.38095926022983, 0.440978457512705, 1.1015647640471, 0.120371550198491,      0.200446926946864, 1.04333655871926, 0.200446926946864, 0.357313426679343,      1.08280856328681, 0.303554199654945, 1.17371591683522, 0.410984632703067     ), PROX_HAWKER = c(1.28815813567136, 1.28441999759135, 1.13978469441664,      1.08343538740726, 1.59466084315792, 1.67102672130552, 1.75849952292251,      0.796241674024292, 1.11021170000921, 1.76689210194785, 1.07710025413616,      1.90213677974947, 1.87231067409155, 1.2014358291776, 1.87231067409155,      0.779750574682814, 1.21079813450924, 0.771130061467184, 1.09084844555913,      0.63246529422046), PROX_MRT = c(0.26513727845816, 0.189597864599581,      0.147719870982538, 0.0904459633140829, 0.258879114766752,      0.197259382412543, 0.103022581922205, 0.262922949537813,      0.436627689790507, 0.0642144868642362, 0.324573358240557,      0.30821900832469, 0.348476568009787, 0.325652198483679, 0.348476568009787,      0.373119808041594, 0.281224364060027, 0.334453451125385,      0.218319465176875, 0.247793554682504), PROX_PARK = c(0.640650351334918,      0.695004999747215, 0.739375101722708, 0.802899104641211,      0.332476768251147, 0.350705699368152, 0.291844359651056,      0.929619749314005, 0.782217598170287, 0.18581491955197, 0.58019258504408,      0.557623544885242, 0.701388397724732, 0.524931496780237,      0.701388397724732, 1.07510958061046, 0.468913262301943, 1.07038952907209,      0.474063272255088, 0.9355470513087), PROX_GOOD_PRISCH = c(4.38951064564596,      4.45977917937361, 4.41976113712118, 4.47444600576345, 4.13557899544262,      4.16094245740848, 4.09066115622083, 4.76155598853922, 4.1394886986689,      3.96344124390297, 4.9857651679507, 4.27923006279343, 4.43819501492863,      5.02043421457898, 4.43819501492863, 4.43794264479214, 5.07622831499557,      4.41640053984819, 5.09375212835948, 4.55661004860153), PROX_MALL = c(0.548104683226502,      0.598877544697789, 0.656440732478167, 0.719665126414215,      0.231810009894563, 0.249640338015364, 0.199839805040887,      0.698652085628877, 0.747053206605742, 0.125441786165087,      0.401409437181884, 0.482494809972804, 0.411800643307333,      0.399157770965225, 0.411800643307333, 0.579723774298741,      0.352184781664103, 0.546157830895501, 0.295276560881227,      0.441605558767423), PROX_CHAS = c(0.196586841411628, 0.124645472322039,      0.175269995719201, 0.111923036871509, 0.20604200841638, 0.23569948169583,      0.19843851708658, 0.224338502615803, 0.419877338676521, 0.146232137849481,      0.0207330025336023, 0.1115602293269, 0.186991486151685, 0.142774662207743,      0.186991486151685, 0.2330532561781, 0.167321001424632, 0.171232412843018,      0.0995517477546361, 0.230184731543739), PROX_SUPERMARKET = c(0.253358431108118,      0.181636181040517, 0.3594639622224, 0.371011221099329, 0.231809873410795,      0.249639808314143, 0.199839014107547, 0.281017798180362,      0.428569074432488, 0.125440795942109, 0.0207321820187816,      0.482493892596986, 0.40197012970004, 0.142773459146917, 0.40197012970004,      0.233052713938452, 0.167319845962294, 0.171231859107883,      0.0995512052866983, 0.23018467784701), WITHIN_350M_KINDERGARTEN = c(3L,      4L, 2L, 2L, 1L, 1L, 2L, 2L, 0L, 2L, 1L, 0L, 0L, 1L, 0L, 0L,      1L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(5L, 5L, 6L, 6L,      6L, 5L, 8L, 7L, 5L, 9L, 6L, 7L, 5L, 6L, 5L, 4L, 8L, 5L, 8L,      4L), WITHIN_350M_BUS = c(9L, 8L, 10L, 11L, 7L, 7L, 7L, 13L,      4L, 9L, 9L, 4L, 2L, 9L, 2L, 11L, 9L, 7L, 8L, 13L), WITHIN_1KM_PRISCH = c(5L,      6L, 9L, 8L, 7L, 7L, 7L, 8L, 7L, 7L, 7L, 5L, 6L, 7L, 6L, 8L,      7L, 6L, 7L, 5L), DNeighbour = c(0, 76.0861759698575, 158.512726422509,      207.390485690675, 326.383905944331, 388.233731480462, 475.515732263645,      522.040677164378, 543.563369635704, 582.72659151141, 598.08207944196,      627.212127593492, 629.725017123777, 633.043414610701, 634.778348380472,      643.53918114629, 684.553462675298, 702.595350924458, 708.53762834819,      755.531164560708)), row.names = c("72", "165", "15", "660",      "339", "153", "141", "301", "655", "887", "754", "886", "474",      "878", "313", "549", "57", "837", "76", "516"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.979819639509511, 0.913902902141903, 0.854980948235756,      0.661590855280284, 0.54162634517462, 0.36467298938587, 0.273086048656882,      0.232708229878098, 0.164127165259134, 0.139399090588835,      0.0966174946069419, 0.0932082572319405, 0.0887798081459088,      0.0864983837606459, 0.0753430926907755, 0.0320634583835991,      0.0182843728258701, 0.0145274599843479, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3243920328 
R squared (OOB):                  0.2217951 

$Forests[[73]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(460000, 455000, 420000,      475000, 455000, 460000, 490888, 412000, 415000, 398000, 437000,      485000, 465000, 530000, 470000, 525000, 495000, 450000, 450000,      465000), floor_area_sqm = c(92, 93, 93, 92, 92, 92, 93, 90,      93, 93, 93, 95, 95, 95, 93, 97, 93, 94, 95, 90), storey_order = c(3L,      4L, 1L, 5L, 5L, 3L, 5L, 3L, 2L, 1L, 2L, 6L, 4L, 4L, 5L, 3L,      5L, 4L, 3L, 5L), remaining_lease_mths = c(1107, 1096, 1101,      1098, 1108, 1097, 1141, 1034, 1071, 1077, 1076, 1113, 1110,      1106, 1125, 1098, 1080, 1123, 1126, 1132), PROX_CBD = c(14.2518409016409,      14.3469943525049, 14.3298082323417, 14.3437499696049, 14.2694643570804,      14.2694643570804, 14.4799585140632, 13.9701294998534, 14.2040057462849,      14.2040057462849, 14.2040057462849, 14.2445424628862, 14.3101587663686,      14.4087790426081, 14.2374266118925, 14.3488328635023, 14.2035293519974,      14.0429369190019, 14.1366846915735, 14.6796515041342), PROX_ELDERLYCARE = c(0.985840321219444,      1.07571195137499, 0.943112693551276, 1.14464302293932, 1.14423906696184,      1.14423906696184, 1.06862824267944, 0.798789790509628, 0.732225931930739,      0.732225931930739, 0.732225931930739, 1.24643506877499, 1.29024298571696,      0.87860471100088, 1.2819446304668, 0.805205193908325, 0.685279068417721,      1.1015647640471, 1.17371591683522, 1.45102259724198), PROX_HAWKER = c(0.656651462258042,      0.654543769257927, 0.494981643036057, 0.74882220835846, 0.826638245470088,      0.826638245470088, 0.462243392197612, 0.796241674024292,      0.429643877236979, 0.429643877236979, 0.429643877236979,      0.968852406622053, 0.961388959141492, 0.295591155505828,      1.02089221118434, 0.28631929470226, 0.384064154962602, 1.07710025413616,      1.09084844555913, 0.836784965651702), PROX_MRT = c(0.189142279194464,      0.131478587775223, 0.122691316210064, 0.217663394995295,      0.30438768875815, 0.30438768875815, 0.082651796212049, 0.262922949537813,      0.339881548667158, 0.339881548667158, 0.339881548667158,      0.184117552261459, 0.148967878322013, 0.258499173090988,      0.148741201515391, 0.320519516131068, 0.289240493397468,      0.324573358240557, 0.218319465176875, 0.391052893274669),          PROX_PARK = c(0.785709089572823, 0.731552922713316, 0.760551135167525,          0.636899975343007, 0.599699049952129, 0.599699049952129,          0.682350458092963, 0.929619749314005, 0.735378016798131,          0.735378016798131, 0.735378016798131, 0.481320095248247,          0.444639968372477, 0.572778275466331, 0.440474428767772,          0.585388118838944, 0.69423802629866, 0.58019258504408,          0.474063272255088, 0.566439778554251), PROX_GOOD_PRISCH = c(5.03443000866885,          5.13548460888622, 5.05687720866847, 5.1680916684458,          5.12184985907385, 5.12184985907385, 5.20136656590841,          4.76155598853922, 4.87692111553996, 4.87692111553996,          4.87692111553996, 5.1542412945362, 5.21803047984022,          5.07040230577432, 5.16870486361587, 4.99658730632735,          4.84858590291698, 4.9857651679507, 5.09375212835948,          5.51577006817018), PROX_MALL = c(0.535261743386166, 0.480981762762808,          0.644100917109673, 0.38589862433106, 0.351657486288216,          0.351657486288216, 0.64848155368644, 0.698652085628877,          0.458083927679449, 0.458083927679449, 0.458083927679449,          0.248497232357685, 0.199960318099191, 0.48422641650143,          0.22058685557285, 0.415696526053807, 0.37351280301214,          0.401409437181884, 0.295276560881227, 0.38618207223371         ), PROX_CHAS = c(0.121511881264649, 0.0578525184286013,          0.116678641770301, 0.0401042229543167, 0.120456720485379,          0.120456720485379, 0.149921511006425, 0.224338502615803,          0.0920652608940773, 0.0920652608940773, 0.0920652608940773,          0.185564313785613, 0.199960275799137, 0.263312743704905,          0.177995101264401, 0.232702657922268, 0.170907589664044,          0.0207330025336023, 0.0995517477546361, 0.367772140885018         ), PROX_SUPERMARKET = c(0.121511691834874, 0.0704323341151683,          0.116679779166118, 0.165776473264822, 0.244158473149448,          0.244158473149448, 0.149922203205158, 0.281017798180362,          0.0920659899308881, 0.0920659899308881, 0.0920659899308881,          0.185564776027004, 0.199173279096103, 0.263313051629592,          0.177995229543633, 0.232703172737007, 0.170908382081647,          0.0207321820187816, 0.0995512052866983, 0.0442147517112349         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 2L, 1L, 1L, 1L,          1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(10L, 7L, 7L, 8L, 10L, 10L,          6L, 7L, 5L, 5L, 5L, 9L, 8L, 6L, 8L, 6L, 5L, 6L, 8L, 4L         ), WITHIN_350M_BUS = c(9L, 8L, 9L, 8L, 9L, 9L, 6L, 13L,          9L, 9L, 9L, 7L, 6L, 10L, 6L, 9L, 9L, 9L, 8L, 4L), WITHIN_1KM_PRISCH = c(6L,          4L, 5L, 5L, 6L, 6L, 4L, 8L, 5L, 5L, 5L, 7L, 7L, 5L, 7L,          6L, 5L, 7L, 7L, 4L), DNeighbour = c(0, 102.675859667079,          160.546281323825, 165.877173179607, 190.925985307168,          193.372945265977, 269.224774303169, 277.594328506654,          322.730053122127, 325.828531305584, 326.649043246842,          333.945064458585, 351.992705191411, 363.787849936818,          387.260562017625, 392.056185788527, 408.955551673437,          423.090524995085, 436.281547188778, 486.013667099569)), row.names = c("73",      "488", "688", "70", "470", "434", "979", "301", "272", "448",      "911", "349", "142", "969", "537", "363", "66", "754", "76",      "996"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.91272931480517,      0.793667541671588, 0.780595777394038, 0.715168110157227,      0.708450578777671, 0.480450113859231, 0.453965691707913,      0.312545408017791, 0.303105447726317, 0.300614953545454,      0.278656496008663, 0.226071686870578, 0.193360150082412,      0.133293471672032, 0.121990760054289, 0.0852430608322182,      0.0586481334499629, 0.0377068215735105, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       966564929 
R squared (OOB):                  0.1962131 

$Forests[[74]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 350000, 345000,      364000, 345000, 330000, 339000, 315000, 338000, 305000, 320000,      313000, 324000, 325000, 295000, 333000, 315000, 333000, 335000,      312000), floor_area_sqm = c(101, 102, 102, 100, 102, 102,      102, 102, 102, 99, 100, 99, 90, 91, 101, 100, 103, 103, 100,      101), storey_order = c(1L, 4L, 4L, 2L, 2L, 1L, 3L, 2L, 4L,      1L, 4L, 4L, 4L, 2L, 1L, 4L, 2L, 1L, 4L, 2L), remaining_lease_mths = c(924,      923, 926, 921, 927, 911, 923, 913, 922, 921, 930, 918, 929,      970, 917, 928, 926, 953, 930, 933), PROX_CBD = c(18.0902268845521,      18.0569924715364, 18.236688278315, 17.9386403893839, 18.2868848905217,      18.2320763538069, 17.9456645257603, 17.9994058772431, 18.1611534549189,      17.9733391318796, 18.242108360018, 17.8728040148932, 18.3448727328387,      17.7083177660008, 18.4986491838169, 18.2095446148373, 18.5458637520931,      17.7412802518209, 17.9186379864086, 18.4625985868209), PROX_ELDERLYCARE = c(0.706169610995159,      0.59750504274373, 0.732088251039709, 0.714833653499633, 0.896456720381782,      0.927534095024191, 0.476454782767532, 0.430537495183344,      0.519233937445895, 0.376016337241346, 1.08331104464233, 0.330981516384048,      1.12000720290482, 0.378187975507624, 0.86418951980865, 1.17430183890643,      0.890661700747245, 1.00357172816211, 1.13507400842797, 0.765079897684544     ), PROX_HAWKER = c(0.370412154176866, 0.391180253405874,      0.537987121264097, 0.201936965562497, 0.547085889030319,      0.493410913505403, 0.3648710200987, 0.472244893923117, 0.617364695979906,      0.501520555884575, 0.548257960059823, 0.446535534086157,      0.636376603494217, 0.340346390827249, 0.838043969781633,      0.579651089601917, 0.898999046399804, 0.286367973105455,      0.435091735724103, 0.906262708365532), PROX_MRT = c(0.341202563029131,      0.384524332485438, 0.511061821383635, 0.168914117564514,      0.495991449430539, 0.433316978327494, 0.385567417899789,      0.492638498779759, 0.623413162025338, 0.52882455357406, 0.47401652613315,      0.4868918768976, 0.565211037998289, 0.403335562748004, 0.812751343363136,      0.501132314022455, 0.87509641959225, 0.240079810641839, 0.364011265623101,      0.897303014326537), PROX_PARK = c(1.8531048262974, 1.77011013021076,      1.7164330470264, 1.99379565561889, 1.86697967968657, 1.96114614265628,      1.76180373116006, 1.65421298847909, 1.52418818882418, 1.62685700377268,      2.12857307310705, 1.69875568186822, 2.08056453235766, 1.86766019581863,      1.49181484955502, 2.25371860749481, 1.4387346144793, 2.28949331488756,      2.31505119222808, 1.31620863428189), PROX_GOOD_PRISCH = c(8.60631027953587,      8.58956131155308, 8.76378557853615, 8.4444135457925, 8.78822500750919,      8.72297519828522, 8.49089982759618, 8.5589292690065, 8.72758527833631,      8.54142359534323, 8.71021480286832, 8.43952013253886, 8.81498363377987,      8.26299778187914, 9.04519470993137, 8.6635222339794, 9.09837600782165,      8.20478390995202, 8.3676789538936, 9.04019528068803), PROX_MALL = c(0.342860958869265,      0.407254736414821, 0.240339889961931, 0.238372860218233,      0.1450338527091, 0.22704735136933, 0.428159644756295, 0.446560923090423,      0.475604736810637, 0.395841490391381, 0.347669457974494,      0.330972758922268, 0.284195187673565, 0.335143296665789,      0.305101649121832, 0.468966497593582, 0.359721010486642,      0.222110908162432, 0.384238747959315, 0.414588198127445),          PROX_CHAS = c(0.209799590563819, 0.222103720735081, 0.184864523484869,          0.076984763134016, 0.0217240252323136, 0.11607611654581,          0.218909691095897, 0.324811070171065, 0.405258493214775,          0.364030465322827, 0.274735402884708, 0.330972805611547,          0.24769320941352, 0.30242004444134, 0.305101651313883,          0.3998394205418, 0.359721009550721, 0.222110881748482,          0.360842629752134, 0.399223798550346), PROX_SUPERMARKET = c(0.342860053820009,          0.385535197909366, 0.240339157209448, 0.171190500184261,          0.145032957963293, 0.227046556279957, 0.365864675212809,          0.408691343873882, 0.475604214408431, 0.356071330024396,          0.347668959247477, 0.300218301814749, 0.284194910851331,          0.332189289926598, 0.305101855713295, 0.402574253870019,          0.359721304530864, 0.222110358133712, 0.360842909613722,          0.414588227521533), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(6L, 4L,          6L, 6L, 7L, 5L, 3L, 4L, 5L, 3L, 3L, 4L, 5L, 6L, 6L, 2L,          5L, 5L, 1L, 6L), WITHIN_350M_BUS = c(7L, 9L, 7L, 8L,          9L, 10L, 8L, 9L, 10L, 11L, 7L, 8L, 8L, 7L, 9L, 8L, 9L,          16L, 11L, 8L), WITHIN_1KM_PRISCH = c(5L, 6L, 6L, 5L,          4L, 4L, 6L, 7L, 6L, 7L, 4L, 7L, 4L, 5L, 4L, 4L, 4L, 4L,          3L, 5L), DNeighbour = c(0, 120.284936781345, 166.648606964522,          174.429371691038, 208.707091593958, 215.416202768474,          234.959267420849, 290.415090956273, 340.868167060616,          344.036812794478, 379.057890060698, 380.380911439218,          410.687508975464, 443.350985025891, 468.40390999993,          484.083478843943, 527.934320584439, 541.955441541314,          551.00860279151, 567.36046219434)), row.names = c("74",      "491", "227", "638", "787", "443", "20", "177", "330", "179",      "608", "992", "512", "544", "684", "243", "576", "242", "590",      "729"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.912125512600622,      0.834893276882614, 0.819895061276784, 0.747674580473384,      0.732465615090675, 0.686410353033185, 0.544627140830596,      0.408376713539932, 0.399805360709688, 0.306508512364312,      0.303062103620538, 0.226606363656421, 0.151610001183506,      0.101385249994338, 0.0739922006491427, 0.0179967598760781,      0.00766502035285405, 0.00322751529467555, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       279661678 
R squared (OOB):                  -0.008038375 

$Forests[[75]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(815000, 760000, 838000,      650000, 545000, 680000, 630000, 638000, 680000, 315000, 445000,      480000, 515000, 446000, 550000, 518000, 310000, 470000, 515000,      330000), floor_area_sqm = c(91, 91, 91, 86, 86, 86, 101,      105, 76, 87, 84, 94, 110, 94, 105, 84, 82, 84, 103, 82),          storey_order = c(11L, 9L, 12L, 3L, 1L, 3L, 2L, 3L, 11L,          1L, 3L, 6L, 1L, 2L, 2L, 3L, 5L, 3L, 3L, 4L), remaining_lease_mths = c(1109,          1091, 1106, 1018, 1025, 1025, 952, 918, 1071, 633, 647,          725, 859, 723, 786, 781, 656, 813, 823, 657), PROX_CBD = c(5.46273996086224,          5.4124717534787, 5.38577040159704, 5.26278746968545,          5.19905620756448, 5.19905620756448, 5.76616775136128,          5.24252163748666, 5.17664618337401, 5.88382015009973,          4.82546817648507, 4.50933618399607, 5.31333197008925,          4.45295385586978, 6.4090346428634, 6.59778313634683,          5.9699685911294, 6.30150758144434, 6.41432963568309,          6.06674643703895), PROX_ELDERLYCARE = c(0.323825203617813,          0.277453528347438, 0.343873602324804, 0.310343810032976,          0.3148233892717, 0.3148233892717, 0.708186986363007,          0.232760622048558, 0.203403853153192, 0.599695566252105,          0.401252043911139, 0.665866395733666, 0.301885421229742,          0.645271528549996, 0.336883008423279, 0.619464736019043,          4.28110190953706e-07, 0.0580157957368266, 0.101150617829923,          0.10409496222889), PROX_HAWKER = c(0.17988889362956,          0.214745652304629, 0.225377370173431, 0.356302899600742,          0.424686940189847, 0.424686940189847, 0.25612232537118,          0.316098981667774, 0.242990200436355, 0.302293625820731,          0.33634581375869, 0.665007751295857, 0.15027253820603,          0.601904675681234, 0.729024203622067, 1.00589931737343,          0.247906315943116, 0.511576723994062, 0.639366917684312,          0.346985863757343), PROX_MRT = c(0.495510769155532, 0.525678460826462,          0.452916639575337, 0.321982757522174, 0.253583166891469,          0.253583166891469, 0.0934691468297738, 0.353807427048722,          0.347215067697513, 0.37771060533367, 0.437510974512092,          0.549595780709265, 0.839256513816073, 0.66128766903618,          0.631935879685516, 0.372865816575034, 1.03854772657135,          0.911216039334219, 0.753240517287136, 1.1005845300218         ), PROX_PARK = c(0.816564732509704, 0.766524211973089,          0.680409922157526, 0.550000337404237, 0.482110245392283,          0.482110245392283, 1.02675087524374, 0.540897442657821,          0.502895249788983, 1.09766236241216, 0.386749503328341,          0.353281501558379, 0.919693677764514, 0.473457593144303,          0.73120409495038, 0.432673847047101, 0.792968228054446,          0.950460734805334, 0.941128983241434, 0.741200181243785         ), PROX_GOOD_PRISCH = c(1.99475835919692, 2.04167837943161,          2.04281306492033, 2.16237499594262, 2.22494939608982,          2.22494939608982, 1.65694818911091, 2.20280244575696,          2.27859573799937, 1.61186682958131, 2.65585299610189,          2.94429219434277, 2.32631552336422, 3.02211493728223,          1.19038460547274, 0.909917905905181, 1.89588922913119,          1.50990256016426, 1.35156641752108, 1.85819018299306),          PROX_MALL = c(0.68208602871978, 0.636573036587929, 0.513452616263142,          0.38523327442887, 0.31885342913617, 0.31885342913617,          0.834887080030876, 0.315823950773482, 0.285366785950761,          0.966526596905427, 0.337875853585261, 0.485349818185599,          0.752077094160308, 0.570379319619026, 0.56447134405004,          0.324462922438517, 1.25835483053691, 0.872189526609738,          0.713954983197348, 1.22044581333525), PROX_CHAS = c(0.185272865297861,          0.208534953207918, 0.180097972613039, 0.188692357663819,          0.211748617283041, 0.211748617283041, 0.143086854941205,          0.0731998871787336, 0.0737889624358689, 0.256579842259861,          0.315432137833306, 0.331046161101227, 0.111194343620761,          0.303272176186244, 0.141339892509329, 0.0558741615176373,          0.21461630683628, 0.0940735950578242, 0.15014885052256,          0.252393584019624), PROX_SUPERMARKET = c(0.544212695479659,          0.496000676868079, 0.397689630461078, 0.267150206458008,          0.199301193911681, 0.199301193911681, 0.318319510093507,          0.266280670019211, 0.177322353300672, 0.27867057765081,          0.0907256678718214, 0.325943517329761, 0.370675298005651,          0.34627255092781, 0.360911693423373, 0.173430033183904,          0.227231659318009, 0.469210677159174, 0.519047869620273,          0.321431524942613), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 4L, 4L, 4L, 4L, 2L, 3L, 1L, 1L, 0L, 0L, 1L, 0L, 0L,          1L, 0L, 2L, 2L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          7L, 5L, 6L, 6L, 1L, 5L, 7L, 4L, 2L, 1L, 3L, 1L, 5L, 3L,          2L, 4L, 4L, 2L), WITHIN_350M_BUS = c(8L, 7L, 8L, 9L,          9L, 9L, 8L, 10L, 9L, 8L, 8L, 5L, 12L, 6L, 9L, 7L, 8L,          7L, 7L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          3L, 4L, 4L, 4L, 4L, 2L, 0L, 3L, 1L, 3L, 2L, 4L, 4L, 3L,          5L), DNeighbour = c(0, 48.4205987327176, 203.988772447919,          303.377122740384, 365.454444383232, 366.789198378685,          437.424061682392, 627.576029351768, 695.436516164843,          853.167058901106, 1004.96310635884, 1156.95631410591,          1161.41178983268, 1271.99234239571, 1292.7523843873,          1330.0647861818, 1469.78324069698, 1472.73323203319,          1472.8370905575, 1554.03754983397)), row.names = c("75",      "436", "116", "199", "533", "181", "430", "472", "897", "201",      "288", "622", "279", "346", "269", "957", "920", "417", "114",      "628"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998059308837426,      0.965836542664998, 0.925231749038523, 0.892453675784209,      0.891689200189071, 0.847819857086051, 0.700429445422035,      0.639585724512047, 0.488040124448889, 0.338498868448138,      0.198687143180134, 0.194892423659809, 0.108929351521381,      0.0948624454669617, 0.0715427643696122, 0.0111288504860793,      0.0103834159747685, 0.0103576160392138, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       13922507540 
R squared (OOB):                  0.4150634 

$Forests[[76]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 470000, 450000,      437000, 485000, 435000, 403000, 452000, 465000, 460000, 455000,      545000, 475000, 460000, 455000, 412000, 450000, 465000, 420000,      365000), floor_area_sqm = c(95, 93, 94, 94, 95, 94, 90, 95,      95, 92, 92, 93, 92, 92, 93, 90, 90, 90, 93, 90), storey_order = c(3L,      5L, 4L, 3L, 6L, 2L, 3L, 3L, 4L, 3L, 5L, 3L, 5L, 3L, 4L, 3L,      2L, 5L, 1L, 3L), remaining_lease_mths = c(1126, 1125, 1123,      1120, 1113, 1113, 1053, 1121, 1110, 1097, 1108, 1134, 1098,      1107, 1096, 1034, 1134, 1132, 1101, 979), PROX_CBD = c(14.1366846915735,      14.2374266118925, 14.0429369190019, 14.0691382395842, 14.2445424628862,      14.0214886887106, 14.2313196249897, 14.2856092918761, 14.3101587663686,      14.2694643570804, 14.2694643570804, 14.4432157047801, 14.3437499696049,      14.2518409016409, 14.3469943525049, 13.9701294998534, 14.6796515041342,      14.6796515041342, 14.3298082323417, 13.6373310118807), PROX_ELDERLYCARE = c(1.17371591683522,      1.2819446304668, 1.1015647640471, 1.08280856328681, 1.24643506877499,      1.04333655871926, 1.23431696680562, 1.29536834443332, 1.29024298571696,      1.14423906696184, 1.14423906696184, 1.44181352445962, 1.14464302293932,      0.985840321219444, 1.07571195137499, 0.798789790509628, 1.45102259724198,      1.45102259724198, 0.943112693551276, 0.753498484846986),          PROX_HAWKER = c(1.09084844555913, 1.02089221118434, 1.07710025413616,          1.21079813450924, 0.968852406622053, 1.2014358291776,          1.20453145676494, 1.14967766552968, 0.961388959141492,          0.826638245470088, 0.826638245470088, 1.1926703176924,          0.74882220835846, 0.656651462258042, 0.654543769257927,          0.796241674024292, 0.836784965651702, 0.836784965651702,          0.494981643036057, 1.08343538740726), PROX_MRT = c(0.218319465176875,          0.148741201515391, 0.324573358240557, 0.281224364060027,          0.184117552261459, 0.325652198483679, 0.14509881944895,          0.0748886383392391, 0.148967878322013, 0.30438768875815,          0.30438768875815, 0.142722405117506, 0.217663394995295,          0.189142279194464, 0.131478587775223, 0.262922949537813,          0.391052893274669, 0.391052893274669, 0.122691316210064,          0.0904459633140829), PROX_PARK = c(0.474063272255088,          0.440474428767772, 0.58019258504408, 0.468913262301943,          0.481320095248247, 0.524931496780237, 0.30799989212087,          0.297003339879563, 0.444639968372477, 0.599699049952129,          0.599699049952129, 0.164631246691225, 0.636899975343007,          0.785709089572823, 0.731552922713316, 0.929619749314005,          0.566439778554251, 0.566439778554251, 0.760551135167525,          0.802899104641211), PROX_GOOD_PRISCH = c(5.09375212835948,          5.16870486361587, 4.9857651679507, 5.07622831499557,          5.1542412945362, 5.02043421457898, 5.24106386657147,          5.27158847877433, 5.21803047984022, 5.12184985907385,          5.12184985907385, 5.44062149940817, 5.1680916684458,          5.03443000866885, 5.13548460888622, 4.76155598853922,          5.51577006817018, 5.51577006817018, 5.05687720866847,          4.47444600576345), PROX_MALL = c(0.295276560881227, 0.22058685557285,          0.401409437181884, 0.352184781664103, 0.248497232357685,          0.399157770965225, 0.200492724858517, 0.136646142991964,          0.199960318099191, 0.351657486288216, 0.351657486288216,          0.0864828813466827, 0.38589862433106, 0.535261743386166,          0.480981762762808, 0.698652085628877, 0.38618207223371,          0.38618207223371, 0.644100917109673, 0.719665126414215         ), PROX_CHAS = c(0.0995517477546361, 0.177995101264401,          0.0207330025336023, 0.167321001424632, 0.185564313785613,          0.142774662207743, 0.200492722653611, 0.136646133179357,          0.199960275799137, 0.120456720485379, 0.120456720485379,          0.0864829242311455, 0.0401042229543167, 0.121511881264649,          0.0578525184286013, 0.224338502615803, 0.367772140885018,          0.367772140885018, 0.116678641770301, 0.111923036871509         ), PROX_SUPERMARKET = c(0.0995512052866983, 0.177995229543633,          0.0207321820187816, 0.167319845962294, 0.185564776027004,          0.142773459146917, 0.210915135620544, 0.146294584623949,          0.199173279096103, 0.244158473149448, 0.244158473149448,          0.0916346746399726, 0.165776473264822, 0.121511691834874,          0.0704323341151683, 0.281017798180362, 0.0442147517112349,          0.0442147517112349, 0.116679779166118, 0.371011221099329         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 1L, 1L, 1L,          0L, 0L, 1L, 1L, 1L, 0L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(8L, 8L, 6L, 8L, 9L, 6L,          6L, 6L, 8L, 10L, 10L, 4L, 8L, 10L, 7L, 7L, 4L, 4L, 7L,          6L), WITHIN_350M_BUS = c(8L, 6L, 9L, 9L, 7L, 9L, 6L,          8L, 6L, 9L, 9L, 5L, 8L, 9L, 8L, 13L, 4L, 4L, 9L, 11L),          WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 7L, 7L, 7L, 6L, 7L,          7L, 6L, 6L, 5L, 5L, 6L, 4L, 8L, 4L, 4L, 5L, 8L), DNeighbour = c(0,          102.823734444031, 111.350960825278, 127.885766912709,          136.302841018427, 142.346244287668, 175.663532342548,          178.389342636429, 185.567247064899, 265.801384073847,          270.479036249035, 344.622019784082, 355.547617197878,          436.281547188778, 444.43060563481, 476.145567107718,          571.720712781959, 575.164366287321, 593.808196517538,          640.729433531145)), row.names = c("76", "537", "754",      "57", "349", "878", "283", "32", "142", "434", "470", "240",      "70", "73", "488", "301", "405", "996", "688", "660"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.949156111456546, 0.94050777170245, 0.921911498266172, 0.911539229312318,      0.90372342683342, 0.855320349757619, 0.850977683101819, 0.839277666847886,      0.685428740272746, 0.675348380454756, 0.505105602589262,      0.478966583741559, 0.287678107435645, 0.26923052526876, 0.200486420475555,      0.0415371824871678, 0.0377083570118012, 0.0199089736289167,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1108140942 
R squared (OOB):                  0.1280606 

$Forests[[77]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(388000, 385000, 350880,      430000, 315000, 338000, 410000, 421000, 670000, 425000, 323000,      392000, 7e+05, 348000, 309000, 445000, 345000, 540000, 415000,      463888), floor_area_sqm = c(104, 104, 91, 91, 91, 93, 93,      93, 92, 108, 92, 103, 92, 93, 91, 100, 91, 92, 92, 95), storey_order = c(3L,      4L, 2L, 4L, 1L, 5L, 4L, 4L, 5L, 3L, 2L, 2L, 4L, 4L, 2L, 3L,      3L, 6L, 2L, 1L), remaining_lease_mths = c(751, 740, 785,      777, 790, 860, 788, 789, 1121, 820, 690, 833, 1126, 777,      774, 949, 773, 1142, 1130, 1140), PROX_CBD = c(10.2659136784881,      10.2659136784881, 10.3813809316332, 10.4167519306418, 10.6917699702976,      9.71808261065178, 10.7402382849343, 10.8005053894847, 11.0595651330709,      10.7884209511687, 9.445702961959, 10.8307618753175, 11.1573644039326,      9.5834162789491, 9.64616581570663, 9.38671442358298, 9.63489497584329,      11.3687765497058, 11.3687765497058, 11.4133195883395), PROX_ELDERLYCARE = c(0.737818764037149,      0.737818764037149, 0.833489789321986, 0.852176862644424,      1.07660186858624, 0.288600487645686, 1.05196585123006, 1.11154389564577,      1.41694161867716, 1.11323464510705, 0.0646727834979237, 1.12487398858542,      1.34447435494956, 0.221128007339761, 0.306199433665808, 0.197320443098403,      0.42629854090558, 1.27208236570677, 1.27208236570677, 1.61512702812623     ), PROX_HAWKER = c(1.65941342147148, 1.65941342147148, 1.5910354083573,      1.55256346901264, 1.35937058559257, 1.10941781168001, 1.02652926791064,      0.918995125488027, 1.19495083476736, 0.812377793689625, 0.802499530175562,      0.775872885593274, 1.10011050744246, 0.844035637065003, 0.906506968115566,      0.671765492644128, 0.908741650371918, 1.07923254025891, 1.07923254025891,      1.4377955077332), PROX_MRT = c(0.684374477874155, 0.684374477874155,      0.699917284291438, 0.686459009674335, 0.753106278920522,      0.750225097750018, 0.546812793492647, 0.566932323762424,      0.991329354536752, 0.526269526678983, 0.834535111428891,      0.568072215940967, 0.876646963171676, 0.679762822214213,      0.626377719466395, 0.671695564859285, 0.669484450879797,      0.671331594421278, 0.671331594421278, 0.8250506195824), PROX_PARK = c(0.570788416471153,      0.570788416471153, 0.616002692100522, 0.613918856542286,      0.536819237128991, 0.552878075981585, 0.401614025373747,      0.370936327890873, 0.275833477585303, 0.467051942358664,      0.508498628446561, 0.443949121553361, 0.189026691537682,      0.171128410914521, 0.106198450905693, 0.409638708762546,      0.197084482081202, 0.294690087030438, 0.294690087030438,      0.60176146852012), PROX_GOOD_PRISCH = c(2.58742850928016,      2.58742850928016, 2.6286340652406, 2.62113030487697, 2.68318776685765,      2.3197363622043, 2.39141973384207, 2.34700895725274, 2.8385375863655,      2.2131785217075, 2.16640973416033, 2.22887532154294, 2.83177349547833,      1.81796659730331, 1.71137279935344, 1.96445822173508, 1.59153495480405,      2.95589454100459, 2.95589454100459, 3.26097143466547), PROX_MALL = c(0.364765391124967,      0.364765391124967, 0.365493224544838, 0.350991485118426,      0.459259689573629, 0.64580888250568, 0.344610557976029, 0.363372953846058,      0.76911725394793, 0.340751907865098, 0.855253012280219, 0.384053234723219,      0.831480717149744, 0.812301361871699, 0.808294932987377,      0.704978058880463, 0.873569112263515, 0.814743407183115,      0.814743407183115, 0.979751787656279), PROX_CHAS = c(0.204257711541377,      0.204257711541377, 0.28517644723447, 0.302383860370021, 0.0626028682349028,      0.122290728478786, 0.106045676778667, 0.111289200730163,      0.0661119226245057, 0.260152478655286, 0.378465676389041,      0.2644107607892, 0.0819321575559949, 0.334146331647452, 0.415210445937219,      0.181909444046462, 0.454068185577158, 0.257507761616553,      0.257507761616553, 0.136218265087875), PROX_SUPERMARKET = c(0.384238743245603,      0.384238743245603, 0.49431722643315, 0.519095500550079, 0.550262392018624,      0.190117050177684, 0.357992185767737, 0.386863986973968,      0.444069124865739, 0.363982132031921, 0.234896025437738,      0.407226974513028, 0.408274605358357, 0.581458245406798,      0.675617328849562, 0.448356351676465, 0.717910522287554,      0.30094246041235, 0.30094246041235, 0.0830307595499944),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 0L,          2L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 2L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 6L, 3L, 2L,          3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 1L, 3L, 1L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(8L, 8L, 10L, 9L, 7L, 6L, 6L, 9L,          9L, 8L, 10L, 11L, 6L, 7L, 8L, 9L, 5L, 10L, 10L, 4L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L, 2L, 5L, 5L,          3L, 6L, 2L, 6L, 3L, 4L, 4L, 2L, 3L, 3L, 3L, 1L), DNeighbour = c(0,          3.53630356120425, 118.1781539198, 155.565749786992, 427.933897508045,          564.951028796857, 642.447016033009, 740.430940805628,          803.996427427854, 849.427317071116, 870.71959155664,          882.444109870849, 908.651385390872, 946.433709672559,          993.276300204312, 1017.35988911131, 1096.86713709792,          1119.1924660519, 1125.3209547517, 1151.08052336494)), row.names = c("77",      "501", "626", "480", "569", "624", "6", "56", "407", "696",      "67", "743", "425", "799", "785", "373", "273", "876", "157",      "303"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999981123754728,      0.979030016683647, 0.963803867426613, 0.742680632685062,      0.576255213236934, 0.47402714336028, 0.343667057686295, 0.262285521015421,      0.207430963655653, 0.183015806888936, 0.169983127002826,      0.142026114566082, 0.104953514235406, 0.0652241651913206,      0.0478926665607885, 0.00845984951898893, 0.00298531020683917,      0.00195862848839428, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7026745771 
R squared (OOB):                  0.3824534 

$Forests[[78]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(3e+05, 370000, 355000,      359900, 245000, 279000, 305000, 316000, 318000, 375000, 297000,      325000, 298000, 303888, 330000, 350000, 255000, 270000, 303000,      250000), floor_area_sqm = c(96, 93, 93, 93, 88, 91, 91, 92,      91, 92, 91, 91, 93, 93, 103, 103, 91, 97, 92, 97), storey_order = c(4L,      5L, 3L, 3L, 2L, 2L, 4L, 3L, 1L, 4L, 3L, 4L, 1L, 2L, 2L, 4L,      4L, 2L, 1L, 4L), remaining_lease_mths = c(791, 1106, 1111,      1117, 668, 801, 791, 781, 765, 783, 788, 780, 777, 782, 773,      768, 686, 687, 794, 708), PROX_CBD = c(18.5761736305699,      18.8127816342995, 18.8127816342995, 18.8127816342995, 18.8842060529579,      18.2989051402725, 18.2610111258248, 18.2234963781047, 18.2234963781047,      18.1857629477019, 18.1476771148045, 18.1476771148045, 18.5252470382495,      18.5252470382495, 18.4499801912104, 18.3186881593276, 19.1428796063974,      19.1998859465191, 18.2139172788048, 19.2477081153014), PROX_ELDERLYCARE = c(0.0638277150498875,      0.176499517448139, 0.176499517448139, 0.176499517448139,      0.229103995883471, 0.397078044127006, 0.421521882373529,      0.448333702611612, 0.448333702611612, 0.47723779098819, 0.519546459890619,      0.519546459890619, 0.449194476018676, 0.449194476018676,      0.504778052376495, 0.586525817031338, 0.457204003422965,      0.482976337773198, 0.649170232100017, 0.533620939869422),          PROX_HAWKER = c(0.562029876499453, 0.325560722493799,          0.325560722493799, 0.325560722493799, 0.280513302960552,          0.491047773869601, 0.453171307776496, 0.416527045274471,          0.416527045274471, 0.380157991945912, 0.209390724873544,          0.209390724873544, 0.69553534809229, 0.69553534809229,          0.652207052169444, 0.564283191409187, 0.491246203286744,          0.407382567332432, 0.488031980714328, 0.435575948420033         ), PROX_MRT = c(0.874368880716004, 1.04083770509984,          1.04083770509984, 1.04083770509984, 1.03601464731326,          0.552168886353884, 0.547550551918807, 0.545975779093886,          0.545975779093886, 0.548087095608087, 0.491311596778589,          0.491311596778589, 0.398456142880405, 0.398456142880405,          0.322534237265928, 0.220618943711049, 1.0490560030484,          1.13705578024219, 0.192826481399443, 1.17336842789895         ), PROX_PARK = c(0.287868908027907, 0.51923222906617,          0.51923222906617, 0.51923222906617, 0.579556587207627,          0.287159802467115, 0.272660801967067, 0.264257474455249,          0.264257474455249, 0.261695126667213, 0.270911567278729,          0.270911567278729, 0.491317901173298, 0.491317901173298,          0.536975621309476, 0.548488124002706, 0.602588748705797,          0.708199402424467, 0.532358306258428, 0.715290586226954         ), PROX_GOOD_PRISCH = c(9.51590189269927, 9.7422556358987,          9.7422556358987, 9.7422556358987, 9.83133063879426, 9.19982386356694,          9.16752282736586, 9.1355701416359, 9.1355701416359, 9.10363750169146,          9.18618174729203, 9.18618174729203, 9.63394268044443,          9.63394268044443, 9.56762880935522, 9.44179125712709,          10.1724586401982, 10.205087741046, 9.33501569353139,          10.2559210914134), PROX_MALL = c(0.624506085881379, 0.856774663098642,          0.856774663098642, 0.856774663098642, 0.91348864249693,          0.486326630506135, 0.448092738738542, 0.411037179701155,          0.411037179701155, 0.374195605351922, 0.218975149940797,          0.218975149940797, 0.705200807731176, 0.705200807731176,          0.662291407978718, 0.574856358668165, 1.19002137667581,          1.23204265332191, 0.498813518897969, 1.28177138580973         ), PROX_CHAS = c(0.0792988689034794, 0.2593611752042,          0.2593611752042, 0.2593611752042, 0.241229981070425,          0.0660681856594747, 0.0964740211655948, 0.132763801624598,          0.132763801624598, 0.172021358032342, 0.218975205360203,          0.218975205360203, 0.240425442805127, 0.240425442805127,          0.201478871858691, 0.141159289664064, 0.472048134528426,          0.377747950290313, 0.0363398547195702, 0.34509608786971         ), PROX_SUPERMARKET = c(0.625539331690589, 0.856773769273042,          0.856773769273042, 0.856773769273042, 0.911876453557648,          0.490326509583637, 0.457654559995222, 0.421116980529575,          0.421116980529575, 0.38486207983901, 0.206881250620068,          0.206881250620068, 0.386130046709882, 0.386130046709882,          0.310351384739933, 0.210011389308567, 1.03656246660954,          1.12464344461301, 0.186956242757619, 1.16090501353567         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 2L, 2L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 1L, 1L, 1L, 1L, 2L,          2L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 2L, 4L, 2L, 2L, 5L, 2L         ), WITHIN_350M_BUS = c(10L, 16L, 16L, 16L, 13L, 6L, 6L,          6L, 6L, 4L, 7L, 7L, 8L, 8L, 9L, 10L, 6L, 10L, 9L, 9L),          WITHIN_1KM_PRISCH = c(2L, 1L, 1L, 1L, 1L, 4L, 4L, 4L,          4L, 4L, 3L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 0L), DNeighbour = c(0,          229.643961072573, 234.345203254666, 237.360396302277,          318.721328967813, 336.663227627425, 361.208883209184,          384.908725730374, 387.252220323211, 418.996394308123,          534.942829457124, 539.854355685291, 629.759400982485,          634.050156221918, 666.050111743872, 697.47659128707,          710.981867890753, 712.293303385713, 721.349769498237,          755.427811673511)), row.names = c("78", "637", "418",      "604", "96", "433", "905", "202", "47", "733", "827", "944",      "11", "106", "810", "367", "484", "193", "481", "981"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.823717619355871, 0.81679392003988, 0.812295218066603, 0.675673007592823,      0.64222276950822, 0.595013553763628, 0.548170132200053, 0.543484776870718,      0.47937038417895, 0.24855076017767, 0.239412853348543, 0.0930459156395728,      0.0873391457024239, 0.0495640410553163, 0.0217684433165398,      0.0130437667428108, 0.012307360132526, 0.00777691898730863,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1183539161 
R squared (OOB):                  0.2137113 

$Forests[[79]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 420000, 548000,      375000, 345000, 638000, 630000, 588000, 485000, 516000, 440000,      450000, 448000, 335000, 5e+05, 565000, 435000, 670000, 520000,      439000), floor_area_sqm = c(93, 91, 95, 92, 92, 102, 102,      95, 103, 98, 92, 92, 105, 91, 105, 103, 98, 94, 108, 97),          storey_order = c(3L, 1L, 2L, 2L, 1L, 9L, 6L, 3L, 2L,          3L, 3L, 1L, 1L, 3L, 2L, 4L, 1L, 6L, 1L, 3L), remaining_lease_mths = c(728,          742, 981, 695, 695, 869, 870, 1025, 855, 698, 677, 679,          866, 754, 857, 852, 692, 1104, 860, 669), PROX_CBD = c(8.20083785223568,          8.31995738049774, 8.37940280964872, 8.4016901584654,          8.46158045860266, 7.86314261154951, 7.86314261154951,          8.51090417959469, 7.70120549943486, 8.70928269501252,          8.7589377611275, 8.7589377611275, 8.05276498978228, 8.32334928378694,          8.19182633034048, 8.19182633034048, 8.85689554561162,          8.58683984966127, 7.50210394472385, 8.73211086874077),          PROX_ELDERLYCARE = c(0.41240614163537, 0.259768432786295,          0.335901694998922, 0.150390524199432, 0.0854535518544851,          0.731462959428347, 0.731462959428347, 0.120425912751251,          0.883817181840043, 0.119444653145476, 0.169235371196244,          0.169235371196244, 0.599632276485302, 0.163895949541214,          0.444818640633349, 0.444818640633349, 0.272187629818594,          0.203840329735754, 0.808331791227546, 0.292319821872094         ), PROX_HAWKER = c(0.35604829505958, 0.387410687724852,          0.203869560106314, 0.205000896629144, 0.266645682444034,          0.573870222021737, 0.573870222021737, 0.166697492306482,          0.72907919143595, 0.281172749103646, 0.330091511745513,          0.330091511745513, 0.560005371648267, 0.1672780527947,          0.553760551741158, 0.553760551741158, 0.446318851105742,          0.433030813326955, 0.932792437987216, 0.436547444862961         ), PROX_MRT = c(0.805467939952349, 0.705543842504761,          0.62312262100292, 0.747297636603152, 0.681495718287031,          0.85984195598231, 0.85984195598231, 0.608243230971526,          0.692418360175919, 0.379410256905797, 0.338391484905848,          0.338391484905848, 1.12051759514643, 1.03738004469153,          1.08457427678223, 1.08457427678223, 0.372678744867538,          0.751078096441513, 0.506174946521629, 0.600073719023998         ), PROX_PARK = c(0.393072899865764, 0.517920409018535,          0.394842599629624, 0.784786352249359, 0.773425606080498,          0.281207712521794, 0.281207712521794, 0.368529270986479,          0.450335295656325, 0.513364518506117, 0.469340752260783,          0.469340752260783, 0.30128672956265, 0.839050716088865,          0.374102285306053, 0.374102285306053, 0.479885299937475,          0.52118662053352, 0.621272392201987, 0.617507126900098         ), PROX_GOOD_PRISCH = c(1.04754826657838, 1.20021801549651,          1.14854892992093, 1.42922442943649, 1.4534383809239,          0.562813849840511, 0.562813849840511, 1.13331232297991,          0.490611064856358, 1.35677240305411, 1.40615721612308,          1.40615721612308, 0.631981624625733, 1.6197212814627,          0.769163347741007, 0.769163347741007, 1.47413984574199,          1.16640042723588, 0.343243332218702, 1.31940815963163         ), PROX_MALL = c(0.844084234929545, 0.768764019555169,          0.651389947232486, 0.856591768216477, 0.793630348518112,          0.943364056194349, 0.943364056194349, 0.540250505232014,          0.779066462317335, 0.313890580083005, 0.264395031718586,          0.264395031718586, 1.07178760783233, 0.952850965311535,          0.997182626507123, 0.997182626507123, 0.241772845363545,          0.632538285087724, 0.584674138925751, 0.469553394647833         ), PROX_CHAS = c(0.0460460495231756, 0.1066489590073,          0.11938167830482, 0.14998683096932, 0.161491876005888,          0.201852081003395, 0.201852081003395, 0.0869956868442428,          0.0405139203460024, 0.112175615725657, 0.0806835690144568,          0.0806835690144568, 0.167974733321899, 0.218034921212892,          0.311461966699573, 0.311461966699573, 0.157458356405151,          0.237191200694799, 0.169910439255117, 0.0664211666443358         ), PROX_SUPERMARKET = c(0.436961702644775, 0.284909088626731,          0.282093113359979, 0.194600933367586, 0.128302570008396,          0.115543350477338, 0.115543350477338, 0.0869967242830128,          0.0588346413192393, 0.221335227738319, 0.24726445439454,          0.24726445439454, 0.372458117254617, 0.502751024921131,          0.485938543293979, 0.485938543293979, 0.224853982916395,          0.35437102597818, 0.26407208892283, 0.350370254212894         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 4L,          4L, 2L, 4L, 2L, 2L, 2L, 3L, 1L, 0L, 0L, 2L, 1L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 4L, 3L, 3L, 3L,          3L, 6L, 4L, 7L, 8L, 8L, 3L, 1L, 2L, 2L, 7L, 5L, 3L, 6L         ), WITHIN_350M_BUS = c(7L, 7L, 6L, 7L, 7L, 2L, 2L, 5L,          4L, 6L, 6L, 6L, 5L, 4L, 7L, 7L, 7L, 4L, 4L, 7L), WITHIN_1KM_PRISCH = c(2L,          2L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 4L, 3L, 3L, 1L, 3L, 2L,          2L, 3L, 2L, 1L, 3L), DNeighbour = c(0, 156.326845564837,          196.9425363703, 406.959918252046, 414.183677744019, 482.971973558229,          490.673134370044, 525.905052430697, 580.254772058596,          594.708102094474, 638.607539043101, 642.750956031643,          687.18261352205, 687.985315498419, 757.38458699835, 761.834168967378,          774.030492507046, 774.868278408346, 783.142110099011,          796.630297776323)), row.names = c("79", "716", "998",      "682", "676", "931", "476", "94", "811", "446", "386", "194",      "635", "713", "674", "128", "397", "149", "460", "842"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.924466435241837, 0.881500392922175, 0.546166184760581,      0.532438223407869, 0.399978236824369, 0.38517299215386, 0.31830599017482,      0.22038618897914, 0.195977577264264, 0.127720247129231, 0.121810589656321,      0.0654853520837115, 0.0645981551751962, 0.00923565003475926,      0.00730177406302376, 0.00312857751673635, 0.00290401657007255,      0.00112737648027382, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4531617785 
R squared (OOB):                  0.5006816 

$Forests[[80]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 378888, 350000,      450000, 372500, 452000, 390000, 405000, 385000, 398888, 348000,      353000, 370000, 385000, 370000, 420000, 330000, 345000, 558000,      433000), floor_area_sqm = c(91, 90, 91, 95, 102, 95, 100,      93, 93, 93, 100, 93, 93, 93, 90, 93, 85, 85, 92, 92), storey_order = c(3L,      6L, 1L, 2L, 2L, 4L, 6L, 6L, 4L, 6L, 3L, 1L, 3L, 5L, 2L, 2L,      4L, 6L, 6L, 4L), remaining_lease_mths = c(951, 949, 992,      1109, 931, 1112, 942, 1138, 1138, 1127, 938, 1136, 1127,      1140, 1016, 1099, 992, 968, 1136, 1084), PROX_CBD = c(12.402570085049,      12.4403773011877, 12.6773565587662, 12.0901026943072, 11.9627383543319,      12.1424265739316, 12.9172885276263, 12.9439612539798, 12.9439612539798,      12.9439612539798, 11.8646943012694, 12.9273038019752, 12.9599687546274,      12.9599687546274, 13.0393088300804, 11.8999896789117, 13.0825190214061,      13.131637538161, 11.665784828589, 11.8702915361943), PROX_ELDERLYCARE = c(0.628872951670854,      0.624054710630084, 0.36284597954094, 0.911165280518988, 0.96089261866182,      0.88680281476439, 0.440978457512705, 0.119102012768026, 0.119102012768026,      0.119102012768026, 0.893707553155367, 0.250608726248769,      0.230213196902471, 0.230213196902471, 0.38924985743242, 0.790393757138983,      0.120371550198491, 0.425459762987539, 1.35367167055226, 0.670900780040593     ), PROX_HAWKER = c(1.50745216628998, 1.46996215979098, 1.72249172765999,      0.995330006841388, 0.983415578941634, 0.999275592501037,      1.76689210194785, 2.07494386608678, 2.07494386608678, 2.07494386608678,      0.888626336009462, 2.14952956067865, 2.16699861471209, 2.16699861471209,      1.75849952292251, 0.820501997631561, 1.90213677974947, 1.67102672130552,      1.3549106116919, 0.715369360111721), PROX_MRT = c(0.198968515523371,      0.140157494228817, 0.142163643631393, 0.231980634651484,      0.122900516984256, 0.303530488733859, 0.0642144868642362,      0.464899886897548, 0.464899886897548, 0.464899886897548,      0.214047355776769, 0.585364307317434, 0.576831878931421,      0.576831878931421, 0.103022581922205, 0.261250382411254,      0.30821900832469, 0.197259382412543, 0.561684506891731, 0.146531371307633     ), PROX_PARK = c(0.61879465488716, 0.525489875872169, 0.484105342641425,      0.750469455971567, 0.836149627657164, 0.699596772952975,      0.18581491955197, 0.700809394437081, 0.700809394437081, 0.700809394437081,      0.747986195716587, 0.834972281659159, 0.828547076231476,      0.828547076231476, 0.291844359651056, 0.813614799778521,      0.557623544885242, 0.350705699368152, 0.671016599957339,      0.8322137924942), PROX_GOOD_PRISCH = c(3.69141799128789,      3.6640626331803, 3.92066991749349, 3.19167768034691, 3.15511978010431,      3.20088339163048, 3.96344124390297, 4.27162250172191, 4.27162250172191,      4.27162250172191, 3.05097986431403, 4.33782029579385, 4.35761410397793,      4.35761410397793, 4.09066115622083, 3.00567179865442, 4.27923006279343,      4.16094245740848, 3.32537175969635, 2.91053685401804), PROX_MALL = c(0.407881748949563,      0.37643645467035, 0.485078273736912, 0.1200910408013, 0.161680393170103,      0.171446483339376, 0.125441786165087, 0.646092130793046,      0.646092130793046, 0.646092130793046, 0.265637621954407,      0.664096204002356, 0.630320880177991, 0.630320880177991,      0.199839805040887, 0.283076960540796, 0.482494809972804,      0.249640338015364, 0.714662485508778, 0.385092319171944),          PROX_CHAS = c(0.407881782403473, 0.376436475429729, 0.334175310205776,          0.120090990225825, 0.161680400961643, 0.171446425970546,          0.146232137849481, 0.136400058110832, 0.136400058110832,          0.136400058110832, 0.265637621677666, 0.273668945808659,          0.256311352337612, 0.256311352337612, 0.19843851708658,          0.283076936045466, 0.1115602293269, 0.23569948169583,          0.167944095298073, 0.179381733260264), PROX_SUPERMARKET = c(0.451295114828249,          0.426522673463594, 0.485077395132212, 0.109512866312649,          0.107037284539066, 0.178201527122821, 0.125440795942109,          0.636728053790567, 0.636728053790567, 0.636728053790567,          0.211091622880127, 0.655577492568061, 0.621743565428055,          0.621743565428055, 0.199839014107547, 0.236972988988714,          0.482493892596986, 0.249639808314143, 0.215917356790886,          0.31749021679057), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          1L, 0L, 0L, 1L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L,          0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 4L, 8L,          8L, 8L, 7L, 9L, 4L, 4L, 4L, 7L, 3L, 3L, 3L, 8L, 7L, 7L,          5L, 1L, 9L), WITHIN_350M_BUS = c(9L, 11L, 13L, 8L, 9L,          9L, 9L, 3L, 3L, 3L, 8L, 3L, 3L, 3L, 7L, 9L, 4L, 7L, 4L,          10L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 5L, 7L,          4L, 4L, 4L, 5L, 4L, 4L, 4L, 7L, 5L, 5L, 7L, 2L, 5L),          DNeighbour = c(0, 104.664773352448, 274.074820590101,          516.138431156148, 530.736278358048, 532.525147871927,          582.698566302958, 591.830155133773, 592.832434375688,          594.830155646518, 639.719477580213, 653.099776437896,          668.657386102181, 674.124523516897, 682.55401371507,          682.950654942027, 684.487175144785, 771.287907443741,          783.285865020533, 785.62953971537)), row.names = c("80",      "444", "400", "117", "295", "147", "887", "882", "732", "936",      "232", "462", "990", "95", "141", "185", "886", "153", "830",      "110"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.964817703319661,      0.771404938920536, 0.32306121871195, 0.295528032809347, 0.292187007557316,      0.202397877623722, 0.187064496325184, 0.185404119884348,      0.182108484832932, 0.113538122351173, 0.0954363480333436,      0.0759615736342153, 0.0695467720626986, 0.0601174582833667,      0.0596879140632276, 0.0580361531111249, 0.00130875127584097,      3.54913482669994e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2514992505 
R squared (OOB):                  0.1139344 

$Forests[[81]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(8e+05, 566888, 533000,      530000, 649888, 4e+05, 795888, 810000, 745000, 413888, 7e+05,      495000, 685000, 840000, 755000, 750000, 825000, 820000, 408000,      620000), floor_area_sqm = c(105, 88, 88, 118, 87, 92, 95,      90, 90, 88, 95, 91, 85, 87, 90, 90, 87, 87, 84, 102), storey_order = c(6L,      8L, 1L, 2L, 3L, 1L, 7L, 10L, 7L, 2L, 3L, 3L, 4L, 14L, 5L,      11L, 5L, 9L, 6L, 3L), remaining_lease_mths = c(938, 650,      653, 594, 1103, 555, 1140, 1045, 1057, 668, 1100, 648, 1038,      1141, 1038, 1035, 1136, 1136, 647, 908), PROX_CBD = c(6.53309552941355,      6.76124856282603, 6.92829321613491, 6.1023364257416, 7.02256530608061,      5.99479776583207, 6.26284978479934, 5.99670752478149, 6.0390103189171,      7.88501742637481, 7.97001655790022, 5.90960582305016, 4.89531124268982,      4.70219035054856, 4.88070069409732, 4.88070069409732, 4.59114385332588,      4.59114385332588, 5.38657645344473, 4.95292174150019), PROX_ELDERLYCARE = c(0.112238297630375,      0.20742531007413, 0.389684735109723, 0.14668864145384, 0.467453442926814,      0.420516157550055, 0.69800247969724, 0.788986586736525, 0.798119493593788,      0.487583248392117, 0.682273370470252, 1.51538883702403, 0.307888742732217,      0.200702517977741, 0.312658206579851, 0.312658206579851,      0.125633226962327, 0.125633226962327, 0.465891927060243,      0.0718437191527097), PROX_HAWKER = c(0.357983508144609, 0.171967883722699,      0.133504850959355, 0.107292567178633, 0.207247650371579,      0.295460487376037, 0.130331819855385, 0.199496524550099,      0.151348144296069, 0.645875214067525, 0.840126401207934,      0.358173289653819, 0.546104933523636, 0.646528219825606,      0.595417483526792, 0.595417483526792, 0.762382071136897,      0.762382071136897, 0.351855498276287, 0.126776661941161),          PROX_MRT = c(0.404028215814371, 0.31120761671675, 0.407218977151475,          0.649340944892975, 0.409658939160285, 0.305306521480229,          0.132116935816272, 0.226103982865864, 0.225262429159589,          0.707952731476156, 0.726942522279936, 0.107293182941521,          0.275254866694397, 0.491479629856663, 0.314337158810329,          0.314337158810329, 0.586728793826683, 0.586728793826683,          0.675587286197546, 0.804865461788644), PROX_PARK = c(0.407986988455317,          0.273246118986377, 0.377410917604964, 0.711925115709351,          0.380160428577633, 0.990750186553446, 0.742212481577902,          0.97332058707081, 0.921128796109604, 0.511064020035708,          0.618444971248099, 0.242854512033048, 1.60860995669454,          1.77379186206272, 1.53366372097489, 1.53366372097489,          1.65596921250538, 1.65596921250538, 1.05249384295472,          0.908868407872405), PROX_GOOD_PRISCH = c(1.86607127862969,          1.9155109693321, 2.0639866413545, 1.64363723354824, 2.07008813823767,          2.01228232098645, 2.39901634170637, 2.41026804261554,          2.45094763896652, 2.82520953766913, 2.78644315018514,          0.280669099407447, 2.96671225712824, 2.79995758206102,          3.0451226436528, 3.0451226436528, 2.86977258716747, 2.86977258716747,          3.52335384407219, 3.66355651606602), PROX_MALL = c(0.26702131219094,          0.191774654856939, 0.352244010010256, 0.58741271025502,          0.395390786334096, 0.848644658978131, 0.965908348364742,          1.14826594162738, 1.15586968043917, 0.535655644340599,          0.66906173274608, 1.58703862644467, 0.696065710972082,          0.970860317849455, 0.63262312230698, 0.63262312230698,          0.992224857230604, 0.992224857230604, 0.184401966361696,          0.209686974260184), PROX_CHAS = c(0.144966662256637,          0.19177461752976, 0.180332756228222, 0.142011209366223,          0.278446199404133, 0.262677718190406, 0.0879111496245458,          0.157172829578474, 0.103484302768675, 0.102679570293108,          0.195243012850588, 0.370138139733765, 0.22404402777184,          0.0639130956899198, 0.278004299073392, 0.278004299073392,          0.156405874770629, 0.156405874770629, 0.131272369045618,          0.176171654931402), PROX_SUPERMARKET = c(0.26343506825427,          0.113049768890948, 0.0762755382886037, 0.585686837888717,          0.0888694671696128, 0.3581952061826, 0.0879117778441782,          0.212384620357781, 0.198926203527595, 0.158953339299884,          0.169510705521186, 0.644143855185467, 0.224044642536509,          0.0639125072278545, 0.278004958714438, 0.278004958714438,          0.156405662038775, 0.156405662038775, 0.182486832055582,          0.176171398022836), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 5L, 2L, 5L,          5L, 0L, 0L, 1L, 2L), WITHIN_350M_CHILDCARE = c(5L, 4L,          5L, 2L, 3L, 1L, 3L, 3L, 3L, 1L, 0L, 2L, 4L, 4L, 5L, 5L,          3L, 3L, 1L, 1L), WITHIN_350M_BUS = c(3L, 8L, 7L, 5L,          10L, 8L, 5L, 10L, 9L, 5L, 7L, 5L, 9L, 7L, 8L, 8L, 7L,          7L, 8L, 7L), WITHIN_1KM_PRISCH = c(1L, 0L, 0L, 1L, 0L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          2L), DNeighbour = c(0, 236.615578579466, 406.224511782789,          442.14975754319, 497.78973268397, 601.632490183822, 698.311803575183,          879.488289192258, 885.789436909922, 1451.10686017792,          1598.66694009318, 1693.77795338249, 2028.65452997417,          2049.25717869189, 2089.0338520987, 2091.22379374248,          2161.8158230249, 2166.54655596809, 2218.2820782473, 2554.43856715404         )), row.names = c("81", "834", "978", "18", "221", "413",      "562", "379", "832", "338", "904", "226", "916", "854", "982",      "39", "333", "768", "130", "216"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.982913285122831, 0.950060435913577, 0.94097679212296, 0.925491568707272,      0.89213367031975, 0.856120478350377, 0.776969675057371, 0.773967378022278,      0.458726331937408, 0.370060171714846, 0.313975162861541,      0.1363798792582, 0.127035780893116, 0.109689598781044, 0.108762263970846,      0.0805310761683389, 0.0787598868873522, 0.0604551325769701,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8384586756 
R squared (OOB):                  0.6333567 

$Forests[[82]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 480000, 475000,      492000, 550000, 455000, 507000, 592000, 518000, 635000, 515000,      330000, 440000, 310000, 470000, 515000, 370000, 582000, 335000,      550000), floor_area_sqm = c(84, 84, 89, 84, 105, 95, 105,      108, 88, 105, 105, 82, 93, 82, 84, 103, 92, 104, 91, 105),          storey_order = c(2L, 1L, 1L, 4L, 3L, 2L, 2L, 2L, 3L,          4L, 2L, 4L, 3L, 5L, 3L, 3L, 4L, 3L, 3L, 2L), remaining_lease_mths = c(777,          789, 789, 788, 786, 784, 770, 810, 770, 833, 762, 657,          759, 656, 813, 823, 699, 935, 754, 786), PROX_CBD = c(7.13486939655985,          7.1729887096531, 7.05609226259357, 7.5632891932167, 7.59960912304084,          7.49071683084666, 7.67544881001386, 7.18468073982128,          7.79515244158294, 7.22087947204147, 7.9455961592131,          6.06674643703895, 5.4791067318598, 5.9699685911294, 6.30150758144434,          6.41432963568309, 8.34406204250889, 5.4901102241405,          8.32334928378694, 6.4090346428634), PROX_ELDERLYCARE = c(1.66246099208497,          1.69705296801524, 1.59520672965634, 1.91313469252559,          1.85656629786719, 1.54524415115482, 1.73611556579875,          1.63490637838594, 1.83577537822547, 1.54373359073656,          1.77517839654503, 0.10409496222889, 0.505585511375112,          4.28110190953706e-07, 0.0580157957368266, 0.101150617829923,          0.224798473876808, 0.157919913507301, 0.163895949541214,          0.336883008423279), PROX_HAWKER = c(1.23225985170817,          1.25907896080059, 1.17571504816288, 1.10032443578502,          1.04404154823438, 0.996854886033364, 0.926505356032751,          1.02937341390922, 1.19066876388205, 1.05968958012269,          0.800389309546525, 0.346985863757343, 0.736115689949186,          0.247906315943116, 0.511576723994062, 0.639366917684312,          0.308707066729857, 0.258924665495, 0.1672780527947, 0.729024203622067         ), PROX_MRT = c(0.448181123975075, 0.428812034955963,          0.487588773645627, 0.433934859087748, 0.492673618184051,          0.34804043957783, 0.617354557404891, 0.13577722868059,          0.499752126280618, 0.206889953987817, 0.75069701440163,          1.1005845300218, 0.797555156120123, 1.03854772657135,          0.911216039334219, 0.753240517287136, 1.14033242259394,          1.30755754576723, 1.03738004469153, 0.631935879685516         ), PROX_PARK = c(0.367092279962757, 0.405529884687165,          0.288106802683489, 0.474041874627479, 0.415297912555755,          0.292176487074364, 0.29052205197453, 0.802458220215738,          0.723268787935639, 0.769170147627311, 0.364839433462782,          0.741200181243785, 0.728040918615253, 0.792968228054446,          0.950460734805334, 0.941128983241434, 0.748901820021747,          0.803347187860442, 0.839050716088865, 0.73120409495038         ), PROX_GOOD_PRISCH = c(2.60671936453148, 2.56840479702555,          2.64150694603645, 2.17804686625686, 2.14133679267892,          2.30076298730527, 2.0690813845722, 2.6636605310312, 1.9917971907287,          2.65891054731874, 1.79538098544694, 1.85819018299306,          2.93310132502147, 1.89588922913119, 1.50990256016426,          1.35156641752108, 1.74338078296013, 2.45379201830723,          1.6197212814627, 1.19038460547274), PROX_MALL = c(0.44210957307938,          0.42122511428052, 0.487675149993812, 0.413593098419561,          0.472342316185911, 0.79872232386887, 0.59706101530086,          0.319563922107573, 0.483735594398556, 0.389192825268572,          0.730136421618933, 1.22044581333525, 0.719613179783111,          1.25835483053691, 0.872189526609738, 0.713954983197348,          0.813314037197816, 1.21674302842157, 0.952850965311535,          0.56447134405004), PROX_CHAS = c(0.395328272461269, 0.364873472162596,          0.464118937564998, 5.15903103580734e-08, 0.0587537711423344,          0.204927614889482, 0.183520259224292, 0.244287808759251,          0.157541179554435, 0.201367273106442, 0.312128892467037,          0.252393584019624, 0.0706483510319072, 0.21461630683628,          0.0940735950578242, 0.15014885052256, 0.347263729641395,          0.233242749827373, 0.218034921212892, 0.141339892509329         ), PROX_SUPERMARKET = c(0.392878094873427, 0.372543253077343,          0.438288204779491, 0.0709823460282706, 0.121599745844786,          0.535956758401375, 0.242167451420959, 0.350395790631763,          0.305647853022819, 0.425467495913439, 0.390939423908347,          0.321431524942613, 0.0706487501399716, 0.227231659318009,          0.469210677159174, 0.519047869620273, 0.624544400837596,          0.37596142908425, 0.502751024921131, 0.360911693423373         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 1L, 1L, 0L,          1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 2L, 2L, 1L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 3L, 4L, 5L, 3L,          5L, 6L, 2L, 7L, 4L, 2L, 2L, 2L, 4L, 4L, 1L, 3L, 1L, 5L         ), WITHIN_350M_BUS = c(7L, 8L, 5L, 9L, 8L, 4L, 8L, 12L,          10L, 11L, 7L, 6L, 3L, 8L, 7L, 7L, 5L, 10L, 4L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 2L, 3L, 4L, 4L, 4L, 1L, 2L, 1L, 3L, 5L, 2L, 4L, 4L,          3L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 42.0626373149469,          80.2138539318024, 439.581994279971, 462.498371620328,          505.102340742627, 539.539085401195, 689.79180981255,          777.00209280471, 777.954930129127, 806.274910638882,          1569.3991004692, 1659.40267327265, 1663.97669132815,          1678.47587981083, 1736.61796502667, 1823.91805034772,          1832.68881268865, 1903.49397110316, 1991.65479312414)), row.names = c("82",      "133", "449", "829", "735", "950", "647", "370", "209", "344",      "345", "628", "802", "920", "417", "114", "204", "307", "713",      "269"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99910813730699,      0.99675848334065, 0.904945509085792, 0.895057405048947, 0.875501331891787,      0.858612103730498, 0.774484267477066, 0.718763893354767,      0.718130699834202, 0.699088952944173, 0.143698374710245,      0.0935226049807598, 0.0911933969040793, 0.0839637481240802,      0.0574599030330564, 0.026032725903943, 0.0234890760232454,      0.00749450746696435, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5122861879 
R squared (OOB):                  0.3589715 

$Forests[[83]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(387008, 416000, 370000,      370000, 358000, 340000, 402000, 338000, 315000, 350000, 350000,      285000, 258000, 320000, 613000, 550000, 283000, 310000, 355000,      365000), floor_area_sqm = c(97, 98, 104, 93, 91, 91, 93,      93, 84, 91, 108, 84, 84, 104, 92, 92, 84, 84, 93, 92), storey_order = c(2L,      4L, 4L, 1L, 1L, 2L, 4L, 3L, 3L, 1L, 1L, 3L, 1L, 3L, 4L, 2L,      4L, 2L, 4L, 1L), remaining_lease_mths = c(775, 779, 805,      782, 760, 782, 762, 778, 804, 957, 809, 776, 781, 788, 1119,      1124, 781, 811, 761, 1137), PROX_CBD = c(15.8742411347238,      16.1674221276903, 15.7683454047388, 15.9422949327985, 15.6053010835868,      16.0688727275577, 15.8715793299193, 16.3741208173644, 15.9050437012323,      16.4034806336055, 15.5495667695359, 16.2311391435218, 16.1631400386504,      16.4061281598547, 15.4589251607201, 15.4589251607201, 16.4061281598547,      15.7493840144196, 16.1297617902268, 16.0046521285213), PROX_ELDERLYCARE = c(0.784609866943175,      0.762025473923165, 0.584689505447093, 1.09392979000114, 1.18278326755006,      1.20623153653763, 1.28212929908789, 0.617661573186221, 0.346730428331521,      0.839978570407226, 0.619297318170404, 0.252142982647588,      0.194171564025932, 0.45678545326778, 0.68815946921851, 0.68815946921851,      0.45678545326778, 0.392042381698264, 1.29938230642316, 0.20718686492254     ), PROX_HAWKER = c(0.921851461637316, 0.872582424517839,      0.791474322012874, 0.571238530927929, 0.745618024005524,      0.426544691499688, 0.428166805124, 1.08852003222566, 0.79668564149145,      0.889236545198411, 0.5213921544653, 1.12300848995143, 1.03995728027003,      1.27662029927611, 0.469966667540803, 0.469966667540803, 1.27662029927611,      0.617009737136425, 0.335840869363962, 0.855932206484513),          PROX_MRT = c(0.243577544220952, 0.447065767326062, 0.523772975672589,          0.22642613478059, 0.180817781363956, 0.406145228037129,          0.326170963259121, 0.70945464840636, 0.750476153315833,          0.660139833101166, 0.711232187253978, 0.830985280221221,          0.842728374229233, 0.840195727203247, 0.729135125223405,          0.729135125223405, 0.840195727203247, 0.825478596695925,          0.514969181151661, 0.883219311345816), PROX_PARK = c(0.457440234531046,          0.490935310554108, 0.270342199592644, 0.749126986336644,          0.580682002012541, 0.697314652170583, 0.729541055973412,          0.371358045807383, 0.475878847958935, 0.251028276822116,          0.20876400491182, 0.723677668737743, 0.707513815343702,          0.499042267647801, 0.194645215248471, 0.194645215248471,          0.499042267647801, 0.423881452963658, 0.709135847201637,          0.619767633008914), PROX_GOOD_PRISCH = c(6.33578781760894,          6.62018800412964, 6.2828979894293, 6.35759010380229,          6.02648848177283, 6.46919552361138, 6.26806838260706,          6.84990365493624, 6.45664561130608, 6.84769610957781,          6.09891773314498, 6.76533990958697, 6.70927938580052,          6.91087941258894, 6.00758296280353, 6.00758296280353,          6.91087941258894, 6.32317863359129, 6.52049985370614,          6.57618460349959), PROX_MALL = c(0.159478773824134, 0.402318259451987,          0.400271919676516, 0.275355858531219, 0.252610517585887,          0.45653839484425, 0.405953132327172, 0.523710338103731,          0.18299798168314, 0.630333401213655, 0.541358966367059,          0.175221521556568, 0.0870960802892481, 0.408074329267436,          0.632880647427991, 0.632880647427991, 0.408074329267436,          0.340817581482914, 0.568960814514176, 0.110811660449771         ), PROX_CHAS = c(0.159478805927642, 0.277543603442508,          0.406778788965278, 0.101928728560798, 0.0925674017483885,          0.123235071398074, 0.170717118999449, 0.0863783451683255,          0.190026772642962, 0.142060383584178, 0.252209440491103,          0.170601730776313, 0.081875317774622, 0.178111672550416,          0.206736748098593, 0.206736748098593, 0.178111672550416,          0.347229964463676, 0.215228497760129, 0.114687044901222         ), PROX_SUPERMARKET = c(0.159478664733051, 0.277543419111335,          0.30290594542381, 0.218983947734938, 0.188530812320699,          0.399183655269817, 0.323117190327721, 0.0863776808909183,          0.179336240856332, 0.142061131074292, 0.243797536441002,          0.137275095711229, 0.0873208554119548, 0.17811123384324,          0.327859325274294, 0.327859325274294, 0.17811123384324,          2.98731019421495e-07, 0.353026966783941, 0.112847248683738         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 0L, 1L, 1L, 1L,          1L, 1L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 3L, 5L, 2L, 5L, 3L,          2L, 4L, 4L, 3L, 1L, 5L, 6L, 4L, 2L, 2L, 4L, 5L, 3L, 3L         ), WITHIN_350M_BUS = c(8L, 6L, 8L, 8L, 10L, 9L, 8L, 4L,          8L, 7L, 6L, 10L, 11L, 8L, 7L, 7L, 8L, 7L, 8L, 7L), WITHIN_1KM_PRISCH = c(6L,          5L, 7L, 4L, 4L, 4L, 4L, 4L, 6L, 4L, 5L, 5L, 5L, 4L, 4L,          4L, 4L, 6L, 4L, 5L), DNeighbour = c(0, 300.974001717047,          330.139484646877, 357.760159659882, 413.763999053328,          515.810560104803, 519.923938256912, 520.808184508636,          522.628402513538, 533.805970241543, 565.729001926653,          590.840840413012, 599.06109671633, 614.128520183052,          615.234932543347, 615.955107625329, 619.33523704139,          621.049011559831, 628.839950168756, 639.982760726215)), row.names = c("83",      "351", "262", "708", "143", "804", "294", "788", "59", "206",      "236", "945", "872", "595", "455", "963", "49", "956", "184",      "594"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.606579979442436,      0.538597057497708, 0.472658843520485, 0.338732325573676,      0.12278237070845, 0.115600888042349, 0.114078067070197, 0.110967121554477,      0.092590399100563, 0.047780509834583, 0.0218083483295453,      0.0153252238383625, 0.006267042168964, 0.00575226899630981,      0.00542857590642042, 0.00403026556848909, 0.00339822550009805,      0.0011915664841565, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6535996199 
R squared (OOB):                  0.07496678 

$Forests[[84]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(325000, 660000, 680000,      735000, 347000, 320000, 380000, 420000, 390000, 335000, 370000,      3e+05, 380000, 350000, 388800, 333000, 4e+05, 418000, 380000,      418000), floor_area_sqm = c(82, 87, 87, 97, 90, 90, 92, 92,      92, 83, 84, 92, 92, 92, 98, 89, 92, 92, 92, 91), storey_order = c(4L,      3L, 6L, 6L, 5L, 2L, 2L, 5L, 1L, 3L, 3L, 2L, 4L, 4L, 2L, 1L,      4L, 4L, 4L, 5L), remaining_lease_mths = c(666, 1066, 1076,      1066, 672, 672, 687, 694, 685, 687, 673, 691, 693, 688, 697,      692, 690, 691, 695, 774), PROX_CBD = c(10.0782341562763,      10.1126951054664, 10.1126951054664, 9.96973817000633, 10.5036676165143,      10.5036676165143, 10.571248724537, 10.5902646894981, 10.3184291669162,      10.5501175985891, 10.6549850760698, 10.7273754880637, 10.7273754880637,      10.7428660694501, 10.7178846249378, 10.7178846249378, 9.59976569988281,      9.61422948612377, 9.61422948612377, 9.35032791665702), PROX_ELDERLYCARE = c(0.248412112584261,      0.511544492658224, 0.511544492658224, 0.560133969723593,      0.346712236264009, 0.346712236264009, 0.426373779355343,      0.476382036969741, 0.724299376510179, 0.724362239545807,      0.531453703929196, 0.968089576161562, 0.968089576161562,      1.00386291289403, 0.903749132751209, 0.903749132751209, 0.239547661796275,      0.28812103687201, 0.28812103687201, 0.227789996497476), PROX_HAWKER = c(0.250435976222025,      0.268370020499938, 0.268370020499938, 0.246219700947935,      0.255376275980047, 0.255376275980047, 0.155284554597335,      0.142004884371921, 0.285348407142059, 0.496328097640832,      0.345053577007401, 0.259491073356982, 0.259491073356982,      0.19921426515349, 0.131164348467149, 0.131164348467149, 0.436761476721694,      0.398658919868918, 0.398658919868918, 0.508896406641727),          PROX_MRT = c(0.622308556906305, 0.549740095282867, 0.549740095282867,          0.405168801785449, 0.908007357991278, 0.908007357991278,          0.822399768635659, 0.793335563342317, 0.752281430413819,          0.92637591011884, 0.849090589690401, 0.880392787161762,          0.880392787161762, 0.911557541227745, 0.897030842789514,          0.897030842789514, 0.619962862184004, 0.667432439829923,          0.667432439829923, 0.569946398217962), PROX_PARK = c(0.627458410441261,          0.878497256111703, 0.878497256111703, 0.868342722448078,          0.381418159266178, 0.381418159266178, 0.471129460807546,          0.57091664624863, 1.05219739289641, 0.888350706343443,          0.204920490916151, 0.675703893946554, 0.675703893946554,          0.65460215425144, 0.68415716278098, 0.68415716278098,          0.957886982704992, 0.922231693079911, 0.922231693079911,          0.726258134328713), PROX_GOOD_PRISCH = c(1.26151864262594,          1.46177539101005, 1.46177539101005, 1.55873028154778,          0.825686703361669, 0.825686703361669, 0.876989954992127,          0.962114901666907, 1.54472866778257, 1.37609088117382,          0.576127248022356, 1.51964159199475, 1.51964159199475,          1.57772010642862, 1.69245386393467, 1.69245386393467,          2.35345437748376, 2.38715383730665, 2.38715383730665,          2.41566392235711), PROX_MALL = c(0.418279044459304, 0.269774803261538,          0.269774803261538, 0.129560175686973, 0.873995522285645,          0.873995522285645, 0.872531493441133, 0.838333779631814,          0.472532088410597, 0.693136328895784, 1.12054305374088,          0.885934538444454, 0.885934538444454, 0.913300066979642,          0.922177591154216, 0.922177591154216, 0.387669919047214,          0.43353114329251, 0.43353114329251, 0.406203001531397         ), PROX_CHAS = c(0.186550674976261, 0.20472250196774,          0.20472250196774, 0.0647243745052949, 0.217153936659979,          0.217153936659979, 0.109732367463933, 0.0950095589968322,          0.165961529218061, 0.120595382532287, 0.290835710912963,          0.161497017697243, 0.161497017697243, 0.184868017131885,          0.141741960002869, 0.141741960002869, 0.263208245292117,          0.28666502826278, 0.28666502826278, 0.146235674893272         ), PROX_SUPERMARKET = c(0.255147915067147, 0.35798039621586,          0.35798039621586, 0.241122798862169, 0.291549431934698,          0.291549431934698, 0.199099262156692, 0.190547463602814,          0.447507928623339, 0.448117335537485, 0.292451786949051,          0.294310303883692, 0.294310303883692, 0.247977273863763,          0.141741503991008, 0.141741503991008, 0.44091986097032,          0.396736556610776, 0.396736556610776, 0.347306649978202         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 0L,          0L, 0L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 6L, 6L, 6L, 2L, 2L,          3L, 2L, 4L, 2L, 1L, 3L, 3L, 3L, 4L, 4L, 4L, 3L, 3L, 5L         ), WITHIN_350M_BUS = c(5L, 6L, 6L, 7L, 6L, 6L, 5L, 6L,          7L, 6L, 7L, 4L, 4L, 5L, 6L, 6L, 11L, 11L, 11L, 9L), WITHIN_1KM_PRISCH = c(2L,          3L, 3L, 2L, 2L, 2L, 2L, 2L, 5L, 5L, 2L, 5L, 5L, 5L, 5L,          5L, 3L, 4L, 4L, 3L), DNeighbour = c(0, 271.177803116376,          277.465610003082, 310.989360634813, 482.826263420436,          484.466531614421, 512.539039813637, 513.605633173428,          528.520818508973, 593.612743391015, 720.993665008838,          840.721177023126, 844.875861709349, 896.377693953885,          951.832682336727, 955.986894286065, 1105.78619925895,          1142.15094958298, 1143.94675264744, 1149.26132311092)), row.names = c("84",      "506", "316", "471", "482", "940", "210", "701", "97", "778",      "728", "648", "651", "43", "429", "914", "964", "499", "603",      "37"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.89174717115727,      0.886821089210409, 0.858913744507093, 0.678152598870367,      0.676175574273723, 0.641774758251332, 0.640447771675755,      0.62175049454229, 0.53759753334481, 0.367753686793128, 0.216095991418031,      0.211194550855683, 0.153399612538033, 0.0986361501800694,      0.0949030670873201, 0.0055095723127314, 0.000152165478627491,      8.51428334302819e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2215052449 
R squared (OOB):                  0.8559725 

$Forests[[85]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(305000, 3e+05, 345000,      330000, 410000, 425000, 365000, 398000, 420000, 435000, 410000,      320000, 330000, 4e+05, 373000, 385000, 330000, 338000, 418000,      310000), floor_area_sqm = c(90, 85, 95, 105, 93, 93, 91,      92, 92, 92, 92, 107, 104, 92, 92, 90, 105, 103, 112, 104),          storey_order = c(1L, 2L, 3L, 1L, 4L, 4L, 4L, 2L, 5L,          4L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 4L, 5L, 3L), remaining_lease_mths = c(966,          979, 1003, 896, 1117, 1126, 1061, 1136, 1134, 1129, 1131,          909, 847, 1127, 1128, 1060, 909, 836, 904, 838), PROX_CBD = c(18.0816861587931,          18.0119212314593, 17.7047470513727, 17.9794873864528,          17.3263676504413, 17.3263676504413, 17.5974072281911,          17.26435404508, 17.2397585888566, 17.2397585888566, 17.2397585888566,          18.5552891680356, 18.238428451998, 17.1731083577317,          17.1731083577317, 17.6242343596777, 18.4634083712346,          18.1853470145009, 17.2048826778539, 18.2872060948971),          PROX_ELDERLYCARE = c(1.34637729166943, 1.25793892145158,          0.933045885854195, 1.20397588034421, 0.561119780492452,          0.561119780492452, 0.819477307137174, 0.542806768712765,          0.500148198332671, 0.500148198332671, 0.500148198332671,          1.77696496808422, 1.49823830734066, 0.456899326246073,          0.456899326246073, 0.892136309268664, 1.70649895251479,          1.46334015610348, 0.400468425457175, 1.57361264937598         ), PROX_HAWKER = c(1.41733367811242, 1.33204585660377,          1.00938993481846, 0.736691454978467, 0.631285601786086,          0.631285601786086, 0.922900854400271, 0.598096651463893,          0.55990768529081, 0.55990768529081, 0.55990768529081,          0.788681622626877, 0.548143788898404, 0.507233229895407,          0.507233229895407, 0.816419857336687, 0.656056303664779,          0.490406092071559, 0.498365875295267, 0.464971900021808         ), PROX_MRT = c(1.64690112478102, 1.54554013822754, 1.29287496569192,          1.05284557964442, 1.13344401626098, 1.13344401626098,          0.830609903675807, 1.20599959693509, 1.16124452414741,          1.16124452414741, 1.16124452414741, 1.18994045686449,          0.950317003394984, 1.18009183772516, 1.18009183772516,          0.729175757939742, 1.05945750202888, 0.888080533877704,          0.87869292375624, 0.870907467758581), PROX_PARK = c(0.243247600736397,          0.23250554954982, 0.495314460898113, 0.555889077383573,          0.872985599051717, 0.872985599051717, 0.751240825934154,          0.937816003807321, 0.959994438388966, 0.959994438388966,          0.959994438388966, 0.662341635279621, 0.690805332809177,          1.02763138312455, 1.02763138312455, 0.830497330619545,          0.707700114575514, 0.741201414908801, 0.9054780070858,          0.791043930625847), PROX_GOOD_PRISCH = c(7.49669975318446,          7.41905192895776, 7.10206992983331, 7.33264137396139,          6.72174636420399, 6.72174636420399, 6.95474206477502,          6.66937916554136, 6.64012383316355, 6.64012383316355,          6.64012383316355, 7.9054148179446, 7.58243576478886,          6.57664814247058, 6.57664814247058, 6.97273607492461,          7.80883552790736, 7.52724739525134, 6.57740517739392,          7.62743554697163), PROX_MALL = c(0.694568288644574, 0.658794213245526,          0.790613232916467, 0.387548928263219, 0.530342726071102,          0.530342726071102, 0.757845794253982, 0.484724019608978,          0.450738515511335, 0.450738515511335, 0.450738515511335,          0.238299753757691, 0.291730094824992, 0.392080122681935,          0.392080122681935, 0.671391539314818, 0.25445476080495,          0.362005799982455, 0.446026044391999, 0.369641594977131         ), PROX_CHAS = c(0.119012364389208, 0.166262674114357,          0.40646651865696, 0.324283073315245, 0.254413742194056,          0.254413742194056, 0.175468897673469, 0.270084445320348,          0.221318263528924, 0.221318263528924, 0.221318263528924,          0.177138384703249, 0.0811018368302058, 0.214971829128206,          0.214971829128206, 0.0497500971788425, 0.163921847201363,          0.11010335009361, 0.130380344727655, 0.000458346083760352         ), PROX_SUPERMARKET = c(0.485184742393951, 0.385510043100507,          0.260900811674997, 0.337417678694655, 0.529573977763673,          0.529573977763673, 0.336744227428862, 0.483753219919624,          0.449846933875903, 0.449846933875903, 0.449846933875903,          0.237159648524433, 0.289827711639516, 0.391090025360665,          0.391090025360665, 0.442456788826315, 0.25256410508494,          0.36017462873485, 0.445962312606475, 0.367596841627256         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 2L, 2L, 2L,          1L, 2L, 2L, 2L, 2L, 3L, 4L, 2L, 2L, 0L, 4L, 7L, 3L, 6L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L, 3L, 3L, 3L,          3L, 4L, 4L, 4L, 4L, 3L, 3L, 4L, 4L, 2L, 3L, 4L, 2L, 4L         ), WITHIN_350M_BUS = c(8L, 9L, 6L, 9L, 5L, 5L, 6L, 6L,          6L, 6L, 6L, 10L, 10L, 8L, 8L, 12L, 12L, 11L, 8L, 9L),          WITHIN_1KM_PRISCH = c(3L, 4L, 3L, 5L, 3L, 3L, 4L, 3L,          3L, 3L, 3L, 4L, 4L, 2L, 2L, 4L, 4L, 5L, 3L, 5L), DNeighbour = c(0,          107.678290515562, 429.785105851705, 735.456388283166,          791.736505951914, 792.015087431637, 824.21973627647,          829.685413594636, 860.288113057286, 862.040542264273,          866.812867631974, 909.746313561451, 914.176465312058,          920.20515456383, 922.472467969049, 931.511786490315,          944.404140377045, 958.936072959199, 998.635906737128,          1022.27423527434)), row.names = c("85", "228", "631",      "870", "797", "925", "720", "847", "280", "290", "86", "169",      "839", "507", "985", "300", "748", "857", "889", "414"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.977933393740121, 0.677734887414756, 0.232727294161068,      0.160137878279966, 0.159800161723387, 0.122460365607428,      0.116481118101856, 0.0851500081372698, 0.0834727903766272,      0.0789731158133017, 0.0432787209524458, 0.0401214571955248,      0.035994122022656, 0.0344931526710816, 0.0287936515479906,      0.021475260074823, 0.0144185774355187, 0.00208957457146474,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       377851376 
R squared (OOB):                  0.8146379 

$Forests[[86]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 435000, 420000,      398000, 4e+05, 373000, 425000, 410000, 418000, 345000, 365000,      455000, 385000, 312000, 320000, 465000, 3e+05, 450000, 305000,      330000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 93,      112, 95, 91, 106, 90, 107, 104, 106, 85, 93, 90, 105), storey_order = c(3L,      4L, 5L, 2L, 1L, 1L, 4L, 4L, 5L, 3L, 4L, 4L, 3L, 1L, 2L, 2L,      2L, 4L, 1L, 1L), remaining_lease_mths = c(1131, 1129, 1134,      1136, 1127, 1128, 1126, 1117, 904, 1003, 1061, 933, 1060,      779, 779, 933, 979, 950, 966, 896), PROX_CBD = c(17.2397585888566,      17.2397585888566, 17.2397585888566, 17.26435404508, 17.1731083577317,      17.1731083577317, 17.3263676504413, 17.3263676504413, 17.2048826778539,      17.7047470513727, 17.5974072281911, 17.1634204962367, 17.6242343596777,      16.6890813896757, 16.6890813896757, 17.1401277939721, 18.0119212314593,      17.4336546583772, 18.0816861587931, 17.9794873864528), PROX_ELDERLYCARE = c(0.500148198332671,      0.500148198332671, 0.500148198332671, 0.542806768712765,      0.456899326246073, 0.456899326246073, 0.561119780492452,      0.561119780492452, 0.400468425457175, 0.933045885854195,      0.819477307137174, 0.565792923614884, 0.892136309268664,      0.296144426041885, 0.296144426041885, 0.586863575497558,      1.25793892145158, 0.825709875044437, 1.34637729166943, 1.20397588034421     ), PROX_HAWKER = c(0.55990768529081, 0.55990768529081, 0.55990768529081,      0.598096651463893, 0.507233229895407, 0.507233229895407,      0.631285601786086, 0.631285601786086, 0.498365875295267,      1.00938993481846, 0.922900854400271, 0.666841975849823, 0.816419857336687,      0.360513691606501, 0.360513691606501, 0.685044657792881,      1.33204585660377, 0.841716009165303, 1.41733367811242, 0.736691454978467     ), PROX_MRT = c(1.16124452414741, 1.16124452414741, 1.16124452414741,      1.20599959693509, 1.18009183772516, 1.18009183772516, 1.13344401626098,      1.13344401626098, 0.87869292375624, 1.29287496569192, 0.830609903675807,      0.463116738810145, 0.729175757939742, 0.937471590679814,      0.937471590679814, 0.418422993771755, 1.54554013822754, 0.463093751675267,      1.64690112478102, 1.05284557964442), PROX_PARK = c(0.959994438388966,      0.959994438388966, 0.959994438388966, 0.937816003807321,      1.02763138312455, 1.02763138312455, 0.872985599051717, 0.872985599051717,      0.9054780070858, 0.495314460898113, 0.751240825934154, 0.505224516024672,      0.830497330619545, 1.20981147430356, 1.20981147430356, 0.454841043819919,      0.23250554954982, 0.609424449579261, 0.243247600736397, 0.555889077383573     ), PROX_GOOD_PRISCH = c(6.64012383316355, 6.64012383316355,      6.64012383316355, 6.66937916554136, 6.57664814247058, 6.57664814247058,      6.72174636420399, 6.72174636420399, 6.57740517739392, 7.10206992983331,      6.95474206477502, 6.50789265243056, 6.97273607492461, 6.16175607197734,      6.16175607197734, 6.48254224033906, 7.41905192895776, 6.77374769998522,      7.49669975318446, 7.33264137396139), PROX_MALL = c(0.450738515511335,      0.450738515511335, 0.450738515511335, 0.484724019608978,      0.392080122681935, 0.392080122681935, 0.530342726071102,      0.530342726071102, 0.446026044391999, 0.790613232916467,      0.757845794253982, 0.353588302636786, 0.671391539314818,      0.571849863617429, 0.571849863617429, 0.306862579253759,      0.658794213245526, 0.404491618549369, 0.694568288644574,      0.387548928263219), PROX_CHAS = c(0.221318263528924, 0.221318263528924,      0.221318263528924, 0.270084445320348, 0.214971829128206,      0.214971829128206, 0.254413742194056, 0.254413742194056,      0.130380344727655, 0.40646651865696, 0.175468897673469, 0.171584438209325,      0.0497500971788425, 0.332465298200207, 0.332465298200207,      0.133156315003352, 0.166262674114357, 0.260153188296123,      0.119012364389208, 0.324283073315245), PROX_SUPERMARKET = c(0.449846933875903,      0.449846933875903, 0.449846933875903, 0.483753219919624,      0.391090025360665, 0.391090025360665, 0.529573977763673,      0.529573977763673, 0.445962312606475, 0.260900811674997,      0.336744227428862, 0.320581809168482, 0.442456788826315,      0.204374831829505, 0.204374831829505, 0.27639551573194, 0.385510043100507,      0.355873580059747, 0.485184742393951, 0.337417678694655),          WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 3L, 0L, 1L, 1L, 0L, 3L, 3L, 1L, 1L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          3L, 3L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 3L, 3L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 6L, 6L, 8L, 8L, 5L, 5L,          8L, 6L, 6L, 8L, 12L, 9L, 9L, 7L, 9L, 12L, 8L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 6L, 3L, 5L), DNeighbour = c(0, 5.21352316118519,          7.36793526964848, 51.2251426651877, 65.9802743667925,          66.7485138117683, 98.0990224701971, 99.9868094521335,          286.362265693361, 460.879737922261, 588.070432356134,          700.275481870705, 719.156559878534, 724.927331434297,          728.899252836522, 744.754010598927, 777.753485282297,          818.024662739936, 866.812867631974, 908.287353518732)), row.names = c("86",      "290", "280", "847", "507", "985", "925", "797", "889", "631",      "720", "991", "300", "497", "328", "530", "228", "535", "85",      "870"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999934107054574,      0.999868398519431, 0.993648759054891, 0.98947397713322, 0.989228098721919,      0.976806174072179, 0.975910408308758, 0.81108091214442, 0.551348984795016,      0.337338866290363, 0.164497474568817, 0.139201360947796,      0.131765825795762, 0.126733246452791, 0.107371000989528,      0.0711687808507039, 0.035674842912387, 0.00796369666099888,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1973984152 
R squared (OOB):                  0.2774714 

$Forests[[87]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(290000, 3e+05, 285000,      330000, 295000, 292000, 485000, 445000, 460000, 450000, 345000,      350000, 365000, 370000, 585000, 455000, 355000, 491000, 347000,      415000), floor_area_sqm = c(92, 99, 92, 103, 106, 104, 93,      93, 93, 93, 114, 93, 104, 90, 91, 99, 106, 92, 90, 104),          storey_order = c(4L, 1L, 1L, 2L, 1L, 2L, 10L, 7L, 7L,          4L, 2L, 3L, 2L, 3L, 10L, 2L, 1L, 9L, 2L, 2L), remaining_lease_mths = c(690,          697, 697, 937, 825, 828, 1112, 1117, 1135, 1131, 839,          1018, 828, 977, 995, 951, 825, 1137, 971, 875), PROX_CBD = c(14.8961777358487,          14.8036441916204, 14.6519123293037, 14.5165027597446,          14.7220636963442, 15.1374510187917, 14.8542518275748,          14.9897790388493, 15.0332592042754, 15.1194109037639,          15.4582319270764, 14.9930585550483, 15.6198573118901,          14.489397367385, 14.2059144167977, 14.3012013074868,          15.6983328737326, 15.0782917837809, 14.6079806280174,          15.8781143296649), PROX_ELDERLYCARE = c(0.090689252710872,          0.0965145667339982, 0.254409923718011, 0.389463724969334,          0.327768156942021, 0.426629771798313, 0.671766786446111,          0.622451014094897, 0.653175957864657, 0.632846087105322,          0.319622441582349, 0.766085625885291, 0.497975502399054,          0.929205058584809, 0.923774065318005, 0.93663965535868,          0.587171684565488, 0.811417024562957, 0.966138977916587,          0.633288957745621), PROX_HAWKER = c(1.02395142210687,          1.07372228066705, 1.21550185558774, 1.0617726338971,          1.39864823048803, 1.49196951764411, 0.3485650804915,          0.366862032582334, 0.344843972730765, 0.399490681633122,          1.7245004017694, 0.230353911902381, 1.6566914426712,          0.478869651742105, 0.829910539202106, 0.693090021451824,          1.64071314431986, 0.241120378832392, 0.31691894051251,          1.79301822351461), PROX_MRT = c(0.437229774651496, 0.363746184676816,          0.218405848235923, 0.0901878473788138, 0.0523025726452692,          0.164193456307044, 0.41695674877223, 0.550628186781769,          0.587916938270161, 0.674936552563307, 0.233994550027949,          0.545901722651448, 0.297714051615291, 0.0437298005890327,          0.127617925270923, 0.189883903502813, 0.341199960643831,          0.604690005035212, 0.188565130994124, 0.159697283923578         ), PROX_PARK = c(0.600185611341118, 0.497172938499345,          0.325486875199719, 0.278686390612803, 0.432331111477529,          0.786093050092807, 1.00246315577637, 0.886983007034967,          0.858154923175006, 0.773048101136696, 0.998254167239372,          0.937160160632966, 0.782164021798725, 0.935596264101672,          0.716522496183652, 0.812876767906526, 0.686441032296595,          0.889047622652367, 1.07918529837209, 0.678969217742802         ), PROX_GOOD_PRISCH = c(5.28070608730985, 5.17691715074399,          4.99149337529414, 4.93093863547281, 4.99661753747661,          5.37568176340172, 5.49301939379528, 5.61521578968116,          5.67093979106873, 5.74516136190441, 5.64801716169655,          5.6774973866509, 5.84268664292306, 5.1963266927986, 4.85056771881294,          4.98177209241419, 5.93514971647738, 5.77803713337603,          5.35450137646782, 6.09357654169244), PROX_MALL = c(0.252669380741675,          0.278400001713995, 0.377416550632833, 0.38830118917563,          0.343882807046916, 0.249545786638779, 0.497662931100388,          0.615054651957031, 0.671424081833306, 0.744876648240093,          0.455554164929496, 0.691703794200818, 0.394873468760787,          0.345992784345898, 0.148456555084967, 0.236735170365795,          0.310729806849059, 0.79347213158724, 0.479398555662368,          0.145699923430919), PROX_CHAS = c(0.252669404800451,          0.190291087196022, 0.0736014920224838, 0.0918929757518676,          0.141205029857343, 0.193150290660334, 0.139715392485403,          0.101756162724623, 0.0438337826764906, 0.0812821875339188,          0.158017550603297, 0.094086780959658, 0.28481487293308,          3.77135010377852e-08, 0.148456588323488, 0.214782230853987,          0.261893114523038, 0.128222338920945, 0.166948923507452,          0.0723222156351423), PROX_SUPERMARKET = c(0.186322037460738,          0.190291125096353, 0.128878263549785, 0.354026220875794,          0.141204847242777, 0.200567401454574, 0.118312809115248,          0.215874380558773, 0.238848984717478, 0.325050502595441,          0.387973705585917, 0.189746195069109, 0.407244625741832,          0.31785895032531, 0.154204342539502, 0.172194506074768,          0.322774913149109, 0.286089695736963, 0.218811722485387,          0.157892159590583), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 1L,          1L, 1L, 1L, 2L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 5L, 3L, 5L, 3L, 3L, 3L, 3L, 8L, 3L, 3L, 5L, 7L, 6L,          4L, 3L, 2L, 3L), WITHIN_350M_BUS = c(7L, 9L, 9L, 7L,          8L, 11L, 11L, 11L, 10L, 12L, 14L, 11L, 9L, 13L, 17L,          15L, 8L, 10L, 13L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L,          3L, 2L, 2L, 2L, 4L, 3L, 3L, 3L, 3L, 4L, 3L, 5L, 3L, 3L,          3L, 4L, 5L, 3L), DNeighbour = c(0, 104.150463554795,          296.93570395343, 374.226293606332, 407.393055539252,          500.509185492507, 675.627036723782, 684.805042737822,          727.227130288875, 739.636110637887, 813.184923035652,          825.924703991917, 843.054458317097, 851.369030547492,          871.055388471881, 871.382902967547, 886.626835242551,          901.833549945593, 912.785743875633, 1073.60603200526)), row.names = c("87",      "995", "986", "592", "786", "387", "159", "500", "865", "299",      "383", "836", "304", "374", "146", "717", "196", "568", "385",      "510"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98126670621995,      0.852860864616539, 0.771761054119942, 0.732750267287294,      0.612560940270701, 0.364784090437036, 0.351816149949861,      0.292866737519713, 0.276023809520296, 0.181727297273903,      0.166609366863637, 0.14697612438685, 0.137753671024704, 0.116781884731417,      0.116443741215095, 0.101116526246776, 0.0866672294992008,      0.0768124676118565, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4255599982 
R squared (OOB):                  0.3888359 

$Forests[[88]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 345000, 336000,      420000, 340000, 420000, 380000, 323000, 370000, 325000, 380000,      390000, 310000, 325000, 295000, 345000, 345000, 370000, 350000,      343000), floor_area_sqm = c(101, 102, 104, 92, 101, 93, 93,      104, 93, 90, 93, 126, 104, 104, 105, 104, 103, 103, 104,      102), storey_order = c(2L, 2L, 4L, 6L, 5L, 3L, 1L, 3L, 1L,      4L, 1L, 2L, 1L, 1L, 1L, 4L, 5L, 4L, 2L, 5L), remaining_lease_mths = c(933,      935, 958, 1104, 943, 1139, 1138, 956, 1139, 912, 1142, 879,      879, 872, 870, 862, 944, 881, 863, 935), PROX_CBD = c(16.135389698045,      16.0814208174046, 16.2237683329895, 16.0058570800758, 15.9284058495794,      15.9652529785268, 15.9652529785268, 16.3822081442679, 15.8422849591204,      16.3759795802925, 15.6174435761395, 16.1769042321823, 15.9652370890998,      15.9652370890998, 16.027241877126, 16.2035530975804, 15.6615925135045,      15.9139497277605, 15.9139497277605, 15.6558233565228), PROX_ELDERLYCARE = c(0.214357316635524,      0.129424766752979, 0.233700982090528, 0.0922651494707867,      0.260351961534281, 0.120425003900544, 0.120425003900544,      0.317064501792404, 0.241353796602158, 0.437652472603004,      0.457575537702088, 0.382017171357745, 0.372962984236141,      0.372962984236141, 0.401697186037664, 0.462412199513001,      0.372854461013726, 0.471057675436291, 0.471057675436291,      0.268146833149962), PROX_HAWKER = c(2.40272097648418, 2.40830007300065,      2.48966457045008, 2.393526972262, 2.2342618496891, 2.36922200206298,      2.36922200206298, 2.76474077583521, 2.37354129025836, 2.71828200917597,      2.21004723991438, 2.55739022352562, 2.45115541279444, 2.45115541279444,      2.44772974464855, 2.51024920878341, 2.39243139523594, 2.34701070601947,      2.34701070601947, 2.27183532495414), PROX_MRT = c(1.09323648573999,      1.00126993569874, 1.11461848888664, 0.910164710677637, 1.02417718077332,      0.886101680623091, 0.886101680623091, 1.02897813643603, 0.721786411333246,      0.870089952652958, 0.70935210619912, 0.674610535324426, 0.52727924180445,      0.52727924180445, 0.538616250543522, 0.65447898159524, 0.499275570100955,      0.424613907535265, 0.424613907535265, 0.370313443989706),          PROX_PARK = c(1.7942088991982, 1.7154732425778, 1.86547668850022,          1.6216647961598, 1.61207436869795, 1.58077599563476,          1.58077599563476, 1.73717122008599, 1.42084473696832,          1.49155883505512, 1.21748666352844, 1.39748820590438,          1.39203600576681, 1.39203600576681, 1.35146177086674,          1.32632916723033, 1.19384102986047, 1.30337713627377,          1.30337713627377, 1.16446299803307), PROX_GOOD_PRISCH = c(6.11593822040069,          6.0710937852797, 6.20687623278084, 6.00411547246196,          5.90870946924896, 5.96493131981452, 5.96493131981452,          6.39421933734494, 5.8611108446886, 6.4246273009838, 5.63578467655705,          6.23706483495109, 6.02718330754398, 6.02718330754398,          6.09534233388474, 6.27623366830878, 5.71328270316738,          5.99275530970335, 5.99275530970335, 5.73062396037349),          PROX_MALL = c(0.350342319635, 0.261655001598387, 0.36788016328609,          0.187934498474296, 0.350369242497661, 0.18546430077947,          0.18546430077947, 0.374078152135628, 0.177442774283774,          0.409369768138594, 0.401390812484646, 0.292722816398213,          0.238316612740974, 0.238316612740974, 0.275346491924215,          0.370949542105629, 0.238209845871265, 0.338688619983659,          0.338688619983659, 0.155488337640192), PROX_CHAS = c(0.350342354631045,          0.26165503944411, 0.367880188789974, 0.187934543511456,          0.35036929019185, 0.185464348558652, 0.185464348558652,          0.374078140160073, 0.177442804982894, 0.409369730284335,          0.187858028295528, 0.292722768811081, 0.238316573509266,          0.238316573509266, 0.275346446899555, 0.370949494121523,          0.238209795937414, 0.338688583692834, 0.338688583692834,          0.155488306171375), PROX_SUPERMARKET = c(0.352223797136593,          0.265481412722203, 0.364697803989784, 0.197516435852273,          0.363015443397577, 0.198556813498254, 0.198556813498254,          0.357574924056941, 0.197153631350279, 0.389543937857684,          0.412009517866082, 0.254565333705719, 0.177610526119132,          0.177610526119132, 0.141316208924405, 0.235998227482853,          0.238833101010687, 0.112474666082431, 0.112474666082431,          0.152010752053411), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 0L, 1L, 1L, 2L, 2L, 2L, 3L, 5L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 4L), WITHIN_350M_CHILDCARE = c(2L, 5L,          2L, 5L, 3L, 5L, 5L, 1L, 7L, 2L, 3L, 8L, 6L, 6L, 8L, 5L,          5L, 9L, 9L, 8L), WITHIN_350M_BUS = c(9L, 13L, 9L, 14L,          10L, 15L, 15L, 9L, 15L, 5L, 15L, 9L, 14L, 14L, 12L, 7L,          16L, 15L, 15L, 14L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L,          2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L), DNeighbour = c(0, 92.0589418536098, 92.6668731752394,          185.772818867014, 209.596904249797, 216.469364761534,          224.254752451605, 366.096891236383, 395.664205154002,          569.112758242042, 572.534076848515, 572.590377184868,          583.615082154108, 584.636573047832, 606.464228271423,          644.383401341553, 660.844791012775, 682.34658815363,          686.067309166962, 768.230618579776)), row.names = c("88",      "890", "394", "154", "705", "137", "913", "173", "585", "974",      "766", "54", "490", "566", "463", "806", "572", "927", "959",      "450"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.971486581602872,      0.971111517619582, 0.886466565359518, 0.856667615365511,      0.84750800951897, 0.836837326379524, 0.597381100445967, 0.539844182747232,      0.203582220255403, 0.197653716105792, 0.197556595902628,      0.178823376893971, 0.177117332762245, 0.141978554110897,      0.0878725198108565, 0.0676141791071177, 0.0445594767750134,      0.0409917225218195, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       744579112 
R squared (OOB):                  0.3307486 

$Forests[[89]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(490000, 380000, 505000,      5e+05, 505000, 433000, 475000, 540000, 420000, 348000, 510000,      376000, 495000, 372500, 540000, 450000, 452000, 475000, 415000,      540000), floor_area_sqm = c(92, 92, 90, 92, 92, 92, 90, 90,      93, 100, 93, 102, 93, 102, 93, 95, 95, 93, 92, 92), storey_order = c(3L,      1L, 6L, 3L, 4L, 4L, 5L, 3L, 2L, 3L, 3L, 5L, 3L, 2L, 4L, 2L,      4L, 4L, 2L, 6L), remaining_lease_mths = c(1038, 1037, 1033,      1049, 1051, 1084, 1031, 1067, 1099, 938, 1076, 944, 1076,      931, 1075, 1109, 1112, 1130, 1130, 1142), PROX_CBD = c(11.6213283462416,      11.6419253241709, 11.6571985599938, 11.4975151935682, 11.4388659085475,      11.8702915361943, 11.780035597066, 11.5237533038112, 11.8999896789117,      11.8646943012694, 11.734228152501, 11.9885535057438, 11.7824349405223,      11.9627383543319, 11.8019303594103, 12.0901026943072, 12.1424265739316,      11.4536743231806, 11.3687765497058, 11.3687765497058), PROX_ELDERLYCARE = c(0.621923465733728,      0.626216066088841, 0.400746835300904, 0.485429735975203,      0.529438756707198, 0.670900780040593, 0.389019901488026,      0.374021376468387, 0.790393757138983, 0.893707553155367,      0.217445500321488, 0.468647269590137, 0.213047345375207,      0.96089261866182, 0.184707688528033, 0.911165280518988, 0.88680281476439,      1.19895989384568, 1.27208236570677, 1.27208236570677), PROX_HAWKER = c(0.537052085835962,      0.553081930127745, 0.38372613736418, 0.320302217757218, 0.319632581294072,      0.715369360111721, 0.475091880549249, 0.235307086042243,      0.820501997631561, 0.888626336009462, 0.366555491930585,      0.661637750611862, 0.411134055372247, 0.983415578941634,      0.425288384889406, 0.995330006841388, 0.999275592501037,      1.02903329925728, 1.07923254025891, 1.07923254025891), PROX_MRT = c(0.182944945438028,      0.168432978085695, 0.187661086924798, 0.24936700359253, 0.264110896255266,      0.146531371307633, 0.149757666469573, 0.148196296616071,      0.261250382411254, 0.214047355776769, 0.276453864170284,      0.253577460439113, 0.323171872402698, 0.122900516984256,      0.341923672362566, 0.231980634651484, 0.303530488733859,      0.573574303209013, 0.671331594421278, 0.671331594421278),          PROX_PARK = c(0.643411448820926, 0.654970873229416, 0.822874314333037,          0.698336840868775, 0.653351036954048, 0.8322137924942,          0.915827670442916, 0.808531626238996, 0.813614799778521,          0.747986195716587, 1.00928973198994, 0.965214735166117,          1.04913519120928, 0.836149627657164, 1.09015045463689,          0.750469455971567, 0.699596772952975, 0.341254943367627,          0.294690087030438, 0.294690087030438), PROX_GOOD_PRISCH = c(2.69528593883292,          2.71543842399088, 2.58492752090912, 2.48345794754568,          2.45055199705462, 2.91053685401804, 2.67648686403773,          2.43173748992112, 3.00567179865442, 3.05097986431403,          2.54247396470066, 2.84793008582659, 2.5757070458522,          3.15511978010431, 2.57167610218627, 3.19167768034691,          3.20088339163048, 2.96812409551872, 2.95589454100459,          2.95589454100459), PROX_MALL = c(0.597386337892971, 0.576398809288588,          0.718523422751835, 0.805279144871904, 0.840491697823826,          0.385092319171944, 0.657761426948524, 0.840908486660855,          0.283076960540796, 0.265637621954407, 0.781937846313192,          0.581599658792334, 0.732391369928616, 0.161680393170103,          0.70263709534569, 0.1200910408013, 0.171446483339376,          0.714729745574342, 0.814743407183115, 0.814743407183115         ), PROX_CHAS = c(0.130352204164602, 0.118628580179885,          0.162236141473446, 0.18789773503711, 0.210772889992189,          0.179381733260264, 0.165734916528407, 0.0822817354855642,          0.283076936045466, 0.265637621677666, 0.203102352137365,          0.0548782345589675, 0.182294192745256, 0.161680400961643,          0.144895120017984, 0.120090990225825, 0.171446425970546,          0.31407050179696, 0.257507761616553, 0.257507761616553         ), PROX_SUPERMARKET = c(0.0679201472407272, 0.0879874709963817,          0.248678179468178, 0.186124684843571, 0.189609627596398,          0.31749021679057, 0.328761363845442, 0.113409172087645,          0.236972988988714, 0.211091622880127, 0.206717744357565,          0.41771106664497, 0.186528474083994, 0.107037284539066,          0.149354766345577, 0.109512866312649, 0.178201527122821,          0.345653574215055, 0.30094246041235, 0.30094246041235         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 8L, 4L, 4L, 9L,          9L, 4L, 7L, 7L, 8L, 6L, 8L, 8L, 7L, 8L, 7L, 2L, 3L, 3L         ), WITHIN_350M_BUS = c(8L, 8L, 9L, 8L, 7L, 10L, 8L, 5L,          9L, 8L, 10L, 14L, 11L, 9L, 13L, 8L, 9L, 8L, 10L, 10L),          WITHIN_1KM_PRISCH = c(6L, 5L, 5L, 4L, 5L, 5L, 6L, 4L,          5L, 5L, 5L, 7L, 7L, 4L, 6L, 4L, 5L, 4L, 3L, 3L), DNeighbour = c(0,          20.9305391269275, 218.918713650955, 226.253701482738,          248.445592262612, 254.637401789897, 277.756975861062,          309.71320191333, 316.571513166272, 357.242465506112,          413.286170793757, 437.227419359576, 438.30968512927,          461.086961668187, 479.282486200028, 510.506902622172,          541.43543444461, 581.661001166956, 658.749860503134,          664.236675055038)), row.names = c("89", "421", "977",      "553", "271", "110", "263", "652", "185", "232", "409", "486",      "260", "295", "342", "117", "147", "132", "157", "876"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99801514191861, 0.794553723037714, 0.781414584085588, 0.739772466620474,      0.727677505266842, 0.680860156413537, 0.612451638347841,      0.597309070401816, 0.505158853439267, 0.375610492249167,      0.321171067098062, 0.318741453019736, 0.268470088539047,      0.229786141076473, 0.167536995746315, 0.112608852742571,      0.0543722870279292, 0.000270682393545318, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2351753610 
R squared (OOB):                  0.3436273 

$Forests[[90]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 345000, 342000,      316000, 304000, 358888, 428000, 365000, 4e+05, 415000, 420000,      365000, 420000, 390000, 340000, 365000, 420000, 360000, 446000,      370000), floor_area_sqm = c(90, 92, 94, 104, 104, 91, 98,      95, 97, 100, 99, 105, 90, 104, 104, 107, 104, 103, 107, 104     ), storey_order = c(1L, 2L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L,      3L, 2L, 2L, 1L, 1L, 1L, 4L, 1L, 3L, 2L), remaining_lease_mths = c(731,      742, 747, 777, 776, 763, 730, 735, 734, 944, 929, 771, 925,      763, 772, 766, 774, 777, 783, 763), PROX_CBD = c(13.8901285505698,      13.8901285505698, 13.7770670669378, 13.8730731524118, 13.8730731524118,      13.6826822978472, 14.0949321583848, 13.3652677077184, 13.4040436118709,      13.1525533734461, 13.2222340992065, 14.8222691165004, 12.960867808991,      13.1145091682395, 13.1145091682395, 13.578535689825, 15.0460728336845,      13.7231688188033, 13.1163383572019, 13.075732494377), PROX_ELDERLYCARE = c(0.540311266279695,      0.540311266279695, 0.919307603677702, 0.192118066579221,      0.192118066579221, 0.000158780971194199, 1.07365166923746,      0.876024529291782, 0.954835536666776, 0.640770029240432,      0.385934705647939, 0.151522520392741, 0.579007844644764,      0.233566729538939, 0.233566729538939, 0.535215785060316,      0.0734543941007858, 0.681177733621966, 0.258125844069092,      0.206309775801723), PROX_HAWKER = c(0.213123049695643, 0.213123049695643,      0.478671478091809, 0.635045114374877, 0.635045114374877,      0.699744847940348, 0.516176882783883, 0.775887609068758,      0.780321580506598, 0.959649545299011, 1.08380419022874, 0.189112683951821,      1.16344345150942, 1.24018164124527, 1.24018164124527, 0.775756145922257,      0.321243604465073, 0.601426993813282, 1.23349193679857, 1.2806114078583     ), PROX_MRT = c(0.793013171832836, 0.793013171832836, 0.771349314593772,      0.865482366580506, 0.865482366580506, 0.751023886560838,      0.499812381699912, 0.585785046275015, 0.515309591544804,      0.944408516927639, 0.503688459146237, 0.506610369321483,      0.899387073359532, 0.402767024758649, 0.402767024758649,      0.357978123578611, 0.667161579318597, 0.498221170198522,      0.166998983475289, 0.218393806785847), PROX_PARK = c(1.23128896715218,      1.23128896715218, 0.941140572803456, 1.73324375775577, 1.73324375775577,      1.77145949687945, 0.62523741493865, 1.30724345285799, 1.22140134317452,      1.65277848527316, 1.61082819122054, 1.20591145519053, 1.44660566239193,      1.4917670023494, 1.4917670023494, 1.33984402369384, 1.32178658469093,      1.26781451063295, 1.28385310080255, 1.31516124688894), PROX_GOOD_PRISCH = c(3.56420611596829,      3.56420611596829, 3.3146343023011, 3.76914808697313, 3.76914808697313,      3.58938982364218, 3.57828936266804, 2.95461231779958, 2.95770979509606,      2.95137840528657, 3.2388029474634, 4.44405903659268, 2.82458087567675,      3.15473759747012, 3.15473759747012, 3.55013641033528, 4.66454637236311,      3.673854441535, 3.10133739012884, 3.06740437701091), PROX_MALL = c(1.05377974643614,      1.05377974643614, 0.672803550263317, 0.861712986146148, 0.861712986146148,      0.770100764029299, 0.812049880186, 0.473263954532778, 0.412160376682232,      0.703422933264244, 0.587950861513872, 1.74752862756084, 0.695129776671669,      0.504156272689578, 0.504156272689578, 0.305514521023982,      1.83033637772351, 0.406890039239853, 0.281310431650798, 0.332903613799786     ), PROX_CHAS = c(0.0812638133573676, 0.0812638133573676,      0.0886717393158711, 0.0967538959757692, 0.0967538959757692,      0.110149755252424, 0.135156069731972, 0.179342279988699,      0.240863562772424, 0.1365287941905, 0.151225190585885, 0.191193294854487,      0.341366062526918, 0.11048408202451, 0.11048408202451, 0.282171570268124,      0.0544168696099871, 0.176857487498571, 0.155371621529032,      0.122328851042638), PROX_SUPERMARKET = c(0.082811926566736,      0.082811926566736, 0.334979160094168, 0.094684564379848,      0.094684564379848, 0.11210687568128, 0.352618767904154, 0.487840963146543,      0.422907964790702, 0.688592108834651, 0.459946280432931,      0.188017328828043, 0.668273194253219, 0.362446168440829,      0.362446168440829, 0.281417393052806, 0.286721618184596,      0.270532795629183, 0.141466460051892, 0.193246634773484),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 2L, 2L,          0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 3L, 3L, 3L, 3L,          1L, 6L, 5L, 2L, 5L, 2L, 1L, 6L, 6L, 4L, 1L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(4L, 4L, 10L, 8L, 8L, 9L, 9L, 6L,          6L, 6L, 8L, 6L, 2L, 7L, 7L, 10L, 5L, 8L, 9L, 10L), WITHIN_1KM_PRISCH = c(4L,          4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 3L, 3L, 3L,          4L, 1L, 3L, 3L, 3L), DNeighbour = c(0, 2.00640318296913,          437.938175709025, 521.774816069077, 524.80202462123,          531.087334550934, 616.491316787121, 623.138685176646,          648.879783547045, 749.155804056109, 883.198880033937,          930.752765843958, 951.668678789396, 1035.00754570845,          1040.5542813028, 1064.13308037496, 1161.85497147424,          1190.05193492356, 1230.90663474058, 1233.55893256617)), row.names = c("90",      "214", "337", "230", "36", "1000", "25", "238", "757", "496",      "350", "64", "831", "164", "844", "856", "256", "960", "105",      "929"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999994708899235,      0.763807395258199, 0.674180800776233, 0.670766035445057,      0.663641067274446, 0.562850360689207, 0.554754216094932,      0.523163329706086, 0.398377441217137, 0.237537345194647,      0.185493815567765, 0.163875439719882, 0.0876212129032954,      0.0831993826962679, 0.065449054467044, 0.0127411262086521,      0.00480180368977704, 1.8452298774221e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1279574783 
R squared (OOB):                  0.2033946 

$Forests[[91]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(1023801, 830000, 1038000,      890000, 1056800, 1110000, 643888, 755000, 7e+05, 685000,      753000, 620000, 748000, 476000, 475000, 537000, 945500, 912000,      680000, 5e+05), floor_area_sqm = c(95, 94, 95, 93, 95, 94,      83, 90, 93, 93, 87, 103, 107, 103, 103, 106, 87, 87, 91,      103), storey_order = c(13L, 9L, 13L, 2L, 16L, 17L, 4L, 2L,      1L, 4L, 5L, 2L, 2L, 2L, 2L, 4L, 8L, 3L, 3L, 1L), remaining_lease_mths = c(1085,      1088, 1088, 1079, 1081, 1086, 721, 983, 625, 1115, 1104,      911, 899, 774, 781, 760, 1143, 1142, 984, 773), PROX_CBD = c(1.64296215322618,      1.64296215322618, 1.6109563636452, 1.67386574810093, 1.77209924777956,      1.77209924777956, 1.53899731723416, 2.01305703462688, 2.09358084499411,      2.56060478168524, 2.5775653440094, 2.86182045335715, 2.52364731081334,      3.09516181063763, 3.09516181063763, 3.12641734116327, 2.51922626320824,      2.51922626320824, 2.86455481676114, 3.24578829573265), PROX_ELDERLYCARE = c(0.294850727643248,      0.294850727643248, 0.267363987874465, 0.177855560288099,      0.140516738363648, 0.140516738363648, 0.194322059338883,      0.301111196915018, 0.442569764285143, 0.303984777605612,      0.283170941801308, 0.334062202372697, 0.132133546591398,      0.614909460801077, 0.614909460801077, 0.570344367187993,      1.25853619714168e-06, 1.25853619714168e-06, 0.111411798512938,      0.461566734593474), PROX_HAWKER = c(0.280083683397779, 0.280083683397779,      0.235977344459711, 0.190132187507835, 0.23052169920376, 0.23052169920376,      0.0778854840685767, 0.439754799726314, 0.103399879312882,      0.450094806637729, 0.447120961378381, 0.231089093207534,      0.315417458803045, 0.524942013349153, 0.524942013349153,      0.582032517556358, 0.187177165934232, 0.187177165934232,      0.302651224916382, 0.461305554076076), PROX_MRT = c(0.262926729358016,      0.262926729358016, 0.29771914919713, 0.379670718067057, 0.454819638815125,      0.454819638815125, 0.338341879948785, 0.650763936895186,      0.681532284353367, 0.546591463865751, 0.499107329029013,      0.819080841065402, 0.277076743329557, 1.19880844528061, 1.19880844528061,      1.19588154804183, 0.243725266054354, 0.243725266054354, 0.391395986196982,      1.11057161001852), PROX_PARK = c(0.366095429090919, 0.366095429090919,      0.367398542795172, 0.464667269713551, 0.568364566172339,      0.568364566172339, 0.431332248643832, 0.806729342800227,      0.400473707610266, 0.21329655328302, 0.18481391877062, 0.609617368578913,      0.163253442595557, 0.971409228458194, 0.971409228458194,      0.971029675538415, 0.28862748451296, 0.28862748451296, 0.399002951856213,      0.856773721705297), PROX_GOOD_PRISCH = c(6.02306971378175,      6.02306971378175, 6.05683769533381, 6.13913327172338, 6.2014068010071,      6.2014068010071, 6.20754086879516, 6.32589195448141, 4.81109980295855,      4.93746215949662, 4.89009258041755, 5.1514664212482, 4.61812725480087,      5.46565510857314, 5.46565510857314, 5.52416256345089, 4.50145006484821,      4.50145006484821, 4.71207116352008, 5.51078547454581), PROX_MALL = c(0.44820920236387,      0.44820920236387, 0.415453175187746, 0.332985789848242, 0.293469301127063,      0.293469301127063, 0.293332886646226, 0.368960166061844,      0.685370188976197, 0.572150632107275, 0.524781909718914,      0.848351644608041, 0.290995843291254, 1.2281628510896, 1.2281628510896,      1.29251563056945, 0.244046547559164, 0.244046547559164, 0.420489734799516,      1.33172083977874), PROX_CHAS = c(0.0951865321113252, 0.0951865321113252,      0.0860247998100326, 0.0280349864391529, 0.116110892529562,      0.116110892529562, 0.0279718763032621, 0.298496878246672,      0.165994533154508, 0.0640474788759872, 0.0301364724824846,      0.159666076311523, 0.0122221533760307, 0.240903750709302,      0.240903750709302, 0.202999736112437, 0.0462846720247782,      0.0462846720247782, 0.110042750971165, 0.0869328465249217     ), PROX_SUPERMARKET = c(0.28799517805095, 0.28799517805095,      0.248046397132554, 0.185142915152075, 0.203860721712114,      0.203860721712114, 0.114546579488019, 0.364789845186166,      0.346795592234613, 0.315915165677582, 0.275738565320567,      0.360029455717415, 0.0373112013983995, 0.240902416159861,      0.240902416159861, 0.202998478162502, 0.169442491353445,      0.169442491353445, 0.110042446678578, 0.0869315055470345),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 7L, 7L, 7L,          8L, 4L, 4L, 4L, 4L, 3L, 6L, 2L, 2L, 2L, 4L, 4L, 4L, 2L         ), WITHIN_350M_BUS = c(9L, 9L, 11L, 9L, 10L, 10L, 9L,          10L, 7L, 3L, 3L, 4L, 6L, 4L, 4L, 5L, 4L, 4L, 7L, 6L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 4L, 2L), DNeighbour = c(0,          3.29951385597731, 46.3999138976703, 122.85705670966,          203.336586562315, 208.589219944507, 227.015256770337,          441.607588058405, 1219.50810198569, 1347.18932605805,          1388.0729695397, 1476.48594494051, 1529.23474537928,          1581.03823165456, 1581.23876242991, 1596.48875991012,          1607.73756047073, 1615.81525911079, 1688.90374516378,          1714.03718461918)), row.names = c("91", "850", "619",      "10", "509", "321", "524", "567", "824", "390", "999", "561",      "65", "126", "134", "48", "816", "550", "968", "192"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999992588798432, 0.998534908635567, 0.989751207962417,      0.972051800701225, 0.970600130119235, 0.965224475319532,      0.871647637894322, 0.243830658000136, 0.146110676173207,      0.118460435075202, 0.0665514373558049, 0.0416199129735494,      0.0222508294316969, 0.0221864822936181, 0.0175447288646689,      0.014445176687596, 0.0123932698994995, 0.000847484401052519,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       26831459469 
R squared (OOB):                  0.3321246 

$Forests[[92]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(460000, 458888, 450000,      455000, 468000, 420000, 422000, 510000, 485000, 452000, 460000,      440000, 475000, 430000, 426888, 425000, 390000, 382000, 323000,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      95, 92, 92, 92, 92, 92, 92, 92, 90, 86, 90, 90), storey_order = c(3L,      4L, 3L, 4L, 4L, 2L, 2L, 5L, 5L, 2L, 5L, 2L, 2L, 1L, 1L, 4L,      5L, 2L, 1L, 4L), remaining_lease_mths = c(1137, 1130, 1136,      1136, 1124, 1139, 1132, 1133, 1141, 1133, 1136, 1136, 1126,      1134, 1141, 988, 978, 989, 983, 973), PROX_CBD = c(12.6444338023734,      12.6444338023734, 12.6444338023734, 12.5530445309639, 12.5372560863306,      12.4951121122816, 12.6523002899419, 12.8180148044036, 12.8190940082697,      12.8941535537835, 12.5778468618744, 12.6445046545469, 12.6532888174316,      12.5852639843962, 12.5841594105866, 12.1902934701837, 12.4059518996545,      12.3082954752684, 12.0200214112876, 11.9491294576901), PROX_ELDERLYCARE = c(0.0933099122535032,      0.0933099122535032, 0.0933099122535032, 4.52036057904239e-07,      0.066903342124331, 0.0780281999502717, 0.17445131765005,      0.265081039187363, 0.268492105828742, 0.346816364720296,      0.25879478544564, 0.316798451576888, 0.373604611296459, 0.3637938018331,      0.419823195233641, 0.362754738306624, 0.404564014080405,      0.583230122785789, 0.618171206910468, 0.351349913726565),          PROX_HAWKER = c(0.0943584031018698, 0.0943584031018698,          0.0943584031018698, 0.183834631869038, 0.184899994018696,          0.227760265989261, 0.228019105088385, 0.116173376637396,          0.146347761938812, 0.172433027954251, 0.361759384229333,          0.385855619963418, 0.440383933038266, 0.45815519033126,          0.512822421809829, 0.536726116414185, 0.551023632791116,          0.732610931237137, 0.743318510800665, 0.693645859237657         ), PROX_MRT = c(0.135663244459145, 0.135663244459145,          0.135663244459145, 0.225183269009929, 0.250680884626282,          0.288636635543175, 0.189124878414716, 0.0414043955932523,          0.0524349257152741, 0.133852264483784, 0.325317058740364,          0.290856617513635, 0.24828698655044, 0.305105021876954,          0.285300897266269, 0.364194860258715, 0.467412150427879,          0.348338435446781, 0.291532437270123, 0.207404211118571         ), PROX_PARK = c(0.61385987529272, 0.61385987529272,          0.61385987529272, 0.665189387379371, 0.614568616662392,          0.64692671777276, 0.76865606278053, 0.594833919624026,          0.639036828502152, 0.541994755536806, 0.898636927133822,          0.927332929158558, 0.981635622560504, 0.998305920751222,          1.05356492524152, 0.883674706708426, 1.06942514246801,          1.248380402738, 0.871053837980522, 1.42337349535551),          PROX_GOOD_PRISCH = c(2.98554640042679, 2.98554640042679,          2.98554640042679, 2.90013878468328, 2.87119716545371,          2.83249303987555, 3.02962689364369, 3.15789060893291,          3.16783392704602, 3.22227453062783, 2.98751376551561,          3.06407026512831, 3.08870420529617, 3.02473222579279,          3.04090040576321, 2.54749739008747, 2.85954585658161,          2.82059786507503, 2.31713852475231, 2.48771655129493),          PROX_MALL = c(0.835997866672575, 0.835997866672575, 0.835997866672575,          0.801147315442336, 0.863947607104433, 0.848059510883206,          0.680457081346124, 0.881741038155881, 0.842111664425906,          0.965068597681967, 0.550769417999913, 0.525247230278188,          0.475487624694748, 0.450387082903272, 0.39575302739997,          0.835543217968543, 0.423524868376446, 0.312386349772529,          0.859289251142989, 0.591401580344059), PROX_CHAS = c(0.102096070463208,          0.102096070463208, 0.102096070463208, 0.0780281620295796,          0.0439945201117045, 3.19858778746232e-08, 0.162820120107843,          0.0772642002388838, 0.0812086980787344, 0.115846127710365,          0.236995708134403, 0.312339613016365, 0.362882313204726,          0.324614821605945, 0.369996201265779, 0.167384851183216,          0.187639553192951, 0.200650927390068, 0.310908028614088,          0.136369833447508), PROX_SUPERMARKET = c(0.102095775430648,          0.102095775430648, 0.102095775430648, 0.189775839444753,          0.218453608018692, 0.255060837787685, 0.162819600148508,          0.0772646744727167, 0.0812089624400091, 0.115845823699909,          0.299832635957983, 0.312339147167174, 0.36465940083402,          0.389269910824952, 0.385003628727568, 0.552359009160243,          0.375814638453933, 0.200651971059786, 0.507879796624066,          0.234851160706955), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L,          2L, 0L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(7L, 7L,          7L, 7L, 6L, 5L, 6L, 6L, 7L, 5L, 5L, 5L, 5L, 4L, 4L, 3L,          4L, 4L, 1L, 6L), WITHIN_350M_BUS = c(10L, 10L, 10L, 11L,          10L, 10L, 11L, 9L, 9L, 6L, 8L, 11L, 11L, 11L, 10L, 12L,          10L, 8L, 6L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          4L, 4L, 4L, 4L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 5L, 3L, 5L,          6L, 4L, 7L), DNeighbour = c(0, 1.22911439122745, 7.16355744049563,          95.4288692627388, 113.781831613234, 149.153888969001,          159.065755120989, 174.164343808561, 187.165918028163,          252.357404564525, 280.08691340104, 316.299973340254,          377.150270590814, 382.875846451014, 436.26362872901,          449.591115861736, 458.249480914599, 636.156723913105,          689.707830673858, 876.777217163003)), row.names = c("92",      "807", "166", "764", "672", "791", "311", "115", "44", "371",      "355", "144", "759", "180", "868", "783", "138", "231", "909",      "175"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99999606960984,      0.999866495937124, 0.97644782557125, 0.9666016610046, 0.942958542930464,      0.935256180750709, 0.922640075941308, 0.910937426788201,      0.841177741480712, 0.806316686515537, 0.756651729895767,      0.664170416275674, 0.654975918226748, 0.566132473226477,      0.54325720222587, 0.528288753834105, 0.224258096881653, 0.145311814769397,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1146260487 
R squared (OOB):                  0.3696995 

$Forests[[93]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 390000, 430000,      371000, 4e+05, 365000, 345000, 450000, 390000, 465000, 455000,      385000, 368000, 375000, 4e+05, 365000, 370000, 395888, 338000,      330000), floor_area_sqm = c(91, 90, 91, 91, 90, 91, 92, 93,      91, 106, 106, 90, 100, 100, 100, 91, 92, 94, 103, 105), storey_order = c(2L,      2L, 4L, 2L, 3L, 5L, 2L, 4L, 2L, 2L, 4L, 3L, 2L, 5L, 5L, 4L,      3L, 3L, 4L, 1L), remaining_lease_mths = c(956, 947, 962,      957, 953, 965, 974, 950, 956, 933, 933, 1060, 937, 935, 923,      1061, 922, 1063, 836, 896), PROX_CBD = c(17.5146993337396,      17.5579663674298, 17.4594236905894, 17.630719557776, 17.5759295796121,      17.6174166659189, 17.6174166659189, 17.4336546583772, 17.980006840849,      17.1401277939721, 17.1634204962367, 17.6242343596777, 18.1853912561079,      18.2155576397088, 18.2155576397088, 17.5974072281911, 18.2744201988815,      18.1899007658477, 18.1853470145009, 17.9794873864528), PROX_ELDERLYCARE = c(1.21552371031002,      1.26304449634962, 1.1429422216578, 1.35614304544574, 1.07156662032258,      1.58663462608392, 1.58663462608392, 0.825709875044437, 1.69038013517483,      0.586863575497558, 0.565792923614884, 0.892136309268664,      1.83831888483507, 1.82774218733134, 1.82774218733134, 0.819477307137174,      1.91030467455468, 2.0412967820292, 1.46334015610348, 1.20397588034421     ), PROX_HAWKER = c(0.65109908849923, 0.610726758846462, 0.704564458032275,      0.550798352023498, 0.622851592932912, 0.699652587196505,      0.699652587196505, 0.841716009165303, 0.32947027962251, 0.685044657792881,      0.666841975849823, 0.816419857336687, 0.267411626133086,      0.218122417644225, 0.218122417644225, 0.922900854400271,      0.292675997882175, 0.56403310040428, 0.490406092071559, 0.736691454978467     ), PROX_MRT = c(0.367017506823782, 0.415424130147435, 0.304209523777939,      0.481509556817778, 0.449846795062068, 0.430901962912929,      0.430901962912929, 0.463093751675267, 0.131298797620671,      0.418422993771755, 0.463116738810145, 0.729175757939742,      0.186589372260449, 0.24629140143503, 0.24629140143503, 0.830609903675807,      0.25859759791353, 0.225540054498686, 0.888080533877704, 1.05284557964442     ), PROX_PARK = c(0.57589083993138, 0.622915525490857, 0.515475588097358,      0.706852169587072, 0.650211227804106, 0.815337468455046,      0.815337468455046, 0.609424449579261, 0.597192139646456,      0.454841043819919, 0.505224516024672, 0.830497330619545,      0.431621232177097, 0.449638685926872, 0.449638685926872,      0.751240825934154, 0.366705585759005, 0.321396863181507,      0.741201414908801, 0.555889077383573), PROX_GOOD_PRISCH = c(6.84682201594428,      6.89020500321914, 6.79149624878531, 6.96345421686322, 6.90999703096039,      6.95710824587607, 6.95710824587607, 6.77374769998522, 7.31481473864251,      6.48254224033906, 6.50789265243056, 6.97273607492461, 7.51998659904145,      7.54917724573578, 7.54917724573578, 6.95474206477502, 7.60907430161507,      7.5338271442293, 7.52724739525134, 7.33264137396139), PROX_MALL = c(0.437698049352173,      0.488271313828636, 0.366883459562171, 0.581015113036356,      0.456006423255308, 0.753687860987251, 0.753687860987251,      0.404491618549369, 0.38257003715367, 0.306862579253759, 0.353588302636786,      0.671391539314818, 0.304347432784639, 0.249434383428027,      0.249434383428027, 0.757845794253982, 0.31638525459609, 0.601163950940652,      0.362005799982455, 0.387548928263219), PROX_CHAS = c(0.354009255575758,      0.40162373925963, 0.293637386768921, 0.481496129777697, 0.401255348981324,      0.430898255483663, 0.430898255483663, 0.260153188296123,      0.131281394661179, 0.133156315003352, 0.171584438209325,      0.0497500971788425, 0.186582621643492, 0.246283235408848,      0.246283235408848, 0.175468897673469, 0.258594927218762,      0.225556636612455, 0.11010335009361, 0.324283073315245),          PROX_SUPERMARKET = c(0.288534867112482, 0.339170507836652,          0.217741105325511, 0.432325009404537, 0.338457664260807,          0.467885028141574, 0.467885028141574, 0.355873580059747,          0.37748716441855, 0.27639551573194, 0.320581809168482,          0.442456788826315, 0.289364184128333, 0.233030240431279,          0.233030240431279, 0.336744227428862, 0.297968471640837,          0.37174850741073, 0.36017462873485, 0.337417678694655         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 1L, 2L,          2L, 1L, 2L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 2L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 6L, 5L, 4L,          4L, 4L, 5L, 3L, 4L, 2L, 7L, 7L, 7L, 3L, 7L, 5L, 4L, 3L         ), WITHIN_350M_BUS = c(10L, 9L, 8L, 8L, 8L, 6L, 6L, 12L,          14L, 7L, 8L, 12L, 16L, 15L, 15L, 6L, 17L, 13L, 11L, 9L         ), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 3L, 3L,          6L, 3L, 4L, 4L, 4L, 4L, 6L, 6L, 4L, 5L, 4L, 5L, 5L),          DNeighbour = c(0, 51.9676327484773, 71.6047123338793,          151.93532749807, 247.676023789198, 396.663934281592,          396.746292118766, 460.854278067153, 519.418213316131,          623.730722356382, 650.831235001645, 656.072557193657,          699.656073872755, 716.060516136677, 721.085997630098,          793.196055654646, 795.069127837516, 844.009057590762,          850.621432497407, 872.43204557822)), row.names = c("93",      "545", "937", "547", "357", "220", "14", "535", "910", "530",      "991", "300", "31", "571", "643", "720", "835", "422", "857",      "870"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.992916278332354,      0.986572821809145, 0.94026235981219, 0.845306709024628, 0.629293373601422,      0.629157175020562, 0.519785577832267, 0.416717786099755,      0.238994243490167, 0.196682716545629, 0.188781292725247,      0.127348555161073, 0.106502377130764, 0.100399072939627,      0.0300659282828225, 0.0287257608380036, 0.00410838218412908,      0.0024378491170197, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       899939903 
R squared (OOB):                  0.3535729 

$Forests[[94]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(588000, 516000, 670000,      439000, 440000, 450000, 435000, 548000, 410000, 5e+05, 565000,      648000, 430000, 448000, 420000, 408000, 638000, 630000, 345000,      375000), floor_area_sqm = c(95, 98, 94, 97, 92, 92, 98, 95,      97, 105, 103, 116, 93, 105, 91, 91, 102, 102, 92, 92), storey_order = c(3L,      3L, 6L, 3L, 3L, 1L, 1L, 2L, 4L, 2L, 4L, 4L, 3L, 1L, 1L, 3L,      9L, 6L, 1L, 2L), remaining_lease_mths = c(1025, 698, 1104,      669, 677, 679, 692, 981, 665, 857, 852, 871, 728, 866, 742,      674, 869, 870, 695, 695), PROX_CBD = c(8.51090417959469,      8.70928269501252, 8.58683984966127, 8.73211086874077, 8.7589377611275,      8.7589377611275, 8.85689554561162, 8.37940280964872, 8.66747718420982,      8.19182633034048, 8.19182633034048, 8.27332873959955, 8.20083785223568,      8.05276498978228, 8.31995738049774, 8.96374942103709, 7.86314261154951,      7.86314261154951, 8.46158045860266, 8.4016901584654), PROX_ELDERLYCARE = c(0.120425912751251,      0.119444653145476, 0.203840329735754, 0.292319821872094,      0.169235371196244, 0.169235371196244, 0.272187629818594,      0.335901694998922, 0.0441159965049124, 0.444818640633349,      0.444818640633349, 0.354571010374291, 0.41240614163537, 0.599632276485302,      0.259768432786295, 0.267188539522683, 0.731462959428347,      0.731462959428347, 0.0854535518544851, 0.150390524199432),          PROX_HAWKER = c(0.166697492306482, 0.281172749103646,          0.433030813326955, 0.436547444862961, 0.330091511745513,          0.330091511745513, 0.446318851105742, 0.203869560106314,          0.357845486047337, 0.553760551741158, 0.553760551741158,          0.610975272844239, 0.35604829505958, 0.560005371648267,          0.387410687724852, 0.393731145214296, 0.573870222021737,          0.573870222021737, 0.266645682444034, 0.205000896629144         ), PROX_MRT = c(0.608243230971526, 0.379410256905797,          0.751078096441513, 0.600073719023998, 0.338391484905848,          0.338391484905848, 0.372678744867538, 0.62312262100292,          0.874328108605637, 1.08457427678223, 1.08457427678223,          1.0936063211659, 0.805467939952349, 1.12051759514643,          0.705543842504761, 0.71987240697712, 0.85984195598231,          0.85984195598231, 0.681495718287031, 0.747297636603152         ), PROX_PARK = c(0.368529270986479, 0.513364518506117,          0.52118662053352, 0.617507126900098, 0.469340752260783,          0.469340752260783, 0.479885299937475, 0.394842599629624,          0.691303172853456, 0.374102285306053, 0.374102285306053,          0.477465658778908, 0.393072899865764, 0.30128672956265,          0.517920409018535, 0.60552725382935, 0.281207712521794,          0.281207712521794, 0.773425606080498, 0.784786352249359         ), PROX_GOOD_PRISCH = c(1.13331232297991, 1.35677240305411,          1.16640042723588, 1.31940815963163, 1.40615721612308,          1.40615721612308, 1.47413984574199, 1.14854892992093,          1.23754792076915, 0.769163347741007, 0.769163347741007,          0.856939381531897, 1.04754826657838, 0.631981624625733,          1.20021801549651, 1.13785719900195, 0.562813849840511,          0.562813849840511, 1.4534383809239, 1.42922442943649),          PROX_MALL = c(0.540250505232014, 0.313890580083005, 0.632538285087724,          0.469553394647833, 0.264395031718586, 0.264395031718586,          0.241772845363545, 0.651389947232486, 0.740457696387364,          0.997182626507123, 0.997182626507123, 0.991200103712322,          0.844084234929545, 1.07178760783233, 0.768764019555169,          0.480317195978648, 0.943364056194349, 0.943364056194349,          0.793630348518112, 0.856591768216477), PROX_CHAS = c(0.0869956868442428,          0.112175615725657, 0.237191200694799, 0.0664211666443358,          0.0806835690144568, 0.0806835690144568, 0.157458356405151,          0.11938167830482, 0.34300149800099, 0.311461966699573,          0.311461966699573, 0.413431749899638, 0.0460460495231756,          0.167974733321899, 0.1066489590073, 0.143131544605207,          0.201852081003395, 0.201852081003395, 0.161491876005888,          0.14998683096932), PROX_SUPERMARKET = c(0.0869967242830128,          0.221335227738319, 0.35437102597818, 0.350370254212894,          0.24726445439454, 0.24726445439454, 0.224853982916395,          0.282093113359979, 0.158725757407685, 0.485938543293979,          0.485938543293979, 0.502190497784501, 0.436961702644775,          0.372458117254617, 0.284909088626731, 0.181164390242962,          0.115543350477338, 0.115543350477338, 0.128302570008396,          0.194600933367586), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 1L, 1L, 2L, 2L, 2L, 1L, 0L, 0L, 0L, 0L, 1L, 3L, 1L,          1L, 4L, 4L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 7L,          5L, 6L, 8L, 8L, 7L, 4L, 2L, 2L, 2L, 4L, 2L, 3L, 3L, 4L,          3L, 3L, 3L, 3L), WITHIN_350M_BUS = c(5L, 6L, 4L, 7L,          6L, 6L, 7L, 6L, 5L, 7L, 7L, 8L, 7L, 5L, 7L, 6L, 2L, 2L,          7L, 7L), WITHIN_1KM_PRISCH = c(3L, 4L, 2L, 3L, 3L, 3L,          3L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 3L         ), DNeighbour = c(0, 225.687956313882, 263.033932716358,          275.167472193174, 275.528352088195, 278.534755748536,          341.220732165424, 368.173882906366, 465.0604078054, 476.943729662904,          483.904426177315, 504.776752039192, 525.905052430697,          533.181140067546, 555.171937415277, 585.397328784413,          649.972140208799, 655.354268090541, 752.625608724564,          788.728198204896)), row.names = c("94", "446", "149",      "842", "386", "194", "397", "998", "331", "674", "128", "795",      "79", "635", "716", "692", "931", "476", "676", "682"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.84294980484701, 0.789936293134964, 0.771386830632067, 0.770825773806217,      0.766131189587714, 0.660706729529416, 0.611685126879178,      0.425537788767221, 0.402384996067705, 0.388860920093884,      0.348589971524927, 0.30847997164128, 0.294873429896194, 0.254570192918471,      0.20172047366289, 0.102975788676989, 0.0958553629741838,      0.00800150929044141, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6504491844 
R squared (OOB):                  0.3322258 

$Forests[[95]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 370000, 353000,      398888, 385000, 405000, 369988, 330000, 365000, 350000, 370000,      345000, 390000, 330000, 378888, 425000, 356888, 370000, 374000,      375000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 91, 85,      91, 91, 90, 85, 100, 91, 90, 92, 91, 90, 94, 90), storey_order = c(5L,      3L, 1L, 6L, 4L, 6L, 4L, 4L, 5L, 1L, 2L, 6L, 6L, 3L, 6L, 3L,      5L, 3L, 3L, 4L), remaining_lease_mths = c(1140, 1127, 1136,      1127, 1138, 1138, 1002, 992, 993, 992, 1016, 968, 942, 951,      949, 1059, 963, 997, 987, 986), PROX_CBD = c(12.9599687546274,      12.9599687546274, 12.9273038019752, 12.9439612539798, 12.9439612539798,      12.9439612539798, 13.2138793761114, 13.0825190214061, 13.2138793761114,      12.6773565587662, 13.0393088300804, 13.131637538161, 12.9172885276263,      12.402570085049, 12.4403773011877, 13.6873856248974, 13.1584578321731,      13.5299248791723, 13.4804039164095, 13.5741440973944), PROX_ELDERLYCARE = c(0.230213196902471,      0.230213196902471, 0.250608726248769, 0.119102012768026,      0.119102012768026, 0.119102012768026, 0.200446926946864,      0.120371550198491, 0.200446926946864, 0.36284597954094, 0.38924985743242,      0.425459762987539, 0.440978457512705, 0.628872951670854,      0.624054710630084, 0.720975229682918, 0.528614390300154,      0.737190256849548, 0.746393599063579, 0.759293685927778),          PROX_HAWKER = c(2.16699861471209, 2.16699861471209, 2.14952956067865,          2.07494386608678, 2.07494386608678, 2.07494386608678,          1.87231067409155, 1.90213677974947, 1.87231067409155,          1.72249172765999, 1.75849952292251, 1.67102672130552,          1.76689210194785, 1.50745216628998, 1.46996215979098,          1.83406121528111, 1.59466084315792, 1.28441999759135,          1.28815813567136, 1.13978469441664), PROX_MRT = c(0.576831878931421,          0.576831878931421, 0.585364307317434, 0.464899886897548,          0.464899886897548, 0.464899886897548, 0.348476568009787,          0.30821900832469, 0.348476568009787, 0.142163643631393,          0.103022581922205, 0.197259382412543, 0.0642144868642362,          0.198968515523371, 0.140157494228817, 0.19923660487806,          0.258879114766752, 0.189597864599581, 0.26513727845816,          0.147719870982538), PROX_PARK = c(0.828547076231476,          0.828547076231476, 0.834972281659159, 0.700809394437081,          0.700809394437081, 0.700809394437081, 0.701388397724732,          0.557623544885242, 0.701388397724732, 0.484105342641425,          0.291844359651056, 0.350705699368152, 0.18581491955197,          0.61879465488716, 0.525489875872169, 0.855123415409032,          0.332476768251147, 0.695004999747215, 0.640650351334918,          0.739375101722708), PROX_GOOD_PRISCH = c(4.35761410397793,          4.35761410397793, 4.33782029579385, 4.27162250172191,          4.27162250172191, 4.27162250172191, 4.43819501492863,          4.27923006279343, 4.43819501492863, 3.92066991749349,          4.09066115622083, 4.16094245740848, 3.96344124390297,          3.69141799128789, 3.6640626331803, 4.98236347160825,          4.13557899544262, 4.45977917937361, 4.38951064564596,          4.41976113712118), PROX_MALL = c(0.630320880177991, 0.630320880177991,          0.664096204002356, 0.646092130793046, 0.646092130793046,          0.646092130793046, 0.411800643307333, 0.482494809972804,          0.411800643307333, 0.485078273736912, 0.199839805040887,          0.249640338015364, 0.125441786165087, 0.407881748949563,          0.37643645467035, 0.138188079312201, 0.231810009894563,          0.598877544697789, 0.548104683226502, 0.656440732478167         ), PROX_CHAS = c(0.256311352337612, 0.256311352337612,          0.273668945808659, 0.136400058110832, 0.136400058110832,          0.136400058110832, 0.186991486151685, 0.1115602293269,          0.186991486151685, 0.334175310205776, 0.19843851708658,          0.23569948169583, 0.146232137849481, 0.407881782403473,          0.376436475429729, 0.138188055488585, 0.20604200841638,          0.124645472322039, 0.196586841411628, 0.175269995719201         ), PROX_SUPERMARKET = c(0.621743565428055, 0.621743565428055,          0.655577492568061, 0.636728053790567, 0.636728053790567,          0.636728053790567, 0.40197012970004, 0.482493892596986,          0.40197012970004, 0.485077395132212, 0.199839014107547,          0.249639808314143, 0.125440795942109, 0.451295114828249,          0.426522673463594, 0.147450463248511, 0.231809873410795,          0.181636181040517, 0.253358431108118, 0.3594639622224         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 2L, 1L, 2L, 0L, 0L, 1L, 1L, 4L, 3L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 4L, 4L, 4L,          5L, 7L, 5L, 8L, 8L, 5L, 9L, 3L, 4L, 6L, 6L, 5L, 5L, 6L         ), WITHIN_350M_BUS = c(3L, 3L, 3L, 3L, 3L, 3L, 2L, 4L,          2L, 13L, 7L, 7L, 9L, 9L, 11L, 7L, 7L, 8L, 9L, 10L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 6L, 5L, 6L, 4L, 7L, 7L, 7L, 4L, 4L,          5L, 7L, 6L, 5L, 9L), DNeighbour = c(0, 5.90053464270028,          36.3504691765247, 127.045233285483, 133.589633648991,          134.078912047351, 343.844906017002, 343.915064795774,          348.909758011932, 459.650210458321, 622.691846466421,          658.535336737347, 658.775848684665, 674.124523516897,          706.012945004003, 722.988340730199, 757.796813967939,          938.793041988915, 960.789907767925, 1119.18334667744)), row.names = c("95",      "990", "462", "936", "732", "882", "313", "886", "474", "400",      "141", "153", "887", "80", "444", "4", "339", "165", "72",      "15"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999944409035349,      0.997891282383979, 0.974394274839939, 0.971707708387331,      0.971501585750502, 0.820130761362692, 0.820060989752301,      0.815065019045155, 0.691100138973194, 0.476708336870383,      0.42742460107159, 0.427093928412718, 0.406012666147258, 0.362470446747817,      0.339526161304969, 0.293263717753292, 0.0878419974360584,      0.0691806948830669, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       530598034 
R squared (OOB):                  0.06044394 

$Forests[[96]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(245000, 359900, 355000,      370000, 3e+05, 270000, 255000, 250000, 265000, 275000, 279000,      305000, 298000, 303888, 316000, 318000, 330000, 375000, 297000,      325000), floor_area_sqm = c(88, 93, 93, 93, 96, 97, 91, 97,      91, 98, 91, 91, 93, 93, 92, 91, 103, 92, 91, 91), storey_order = c(2L,      3L, 3L, 5L, 4L, 2L, 4L, 4L, 2L, 4L, 2L, 4L, 1L, 2L, 3L, 1L,      2L, 4L, 3L, 4L), remaining_lease_mths = c(668, 1117, 1111,      1106, 791, 687, 686, 708, 724, 689, 801, 791, 777, 782, 781,      765, 773, 783, 788, 780), PROX_CBD = c(18.8842060529579,      18.8127816342995, 18.8127816342995, 18.8127816342995, 18.5761736305699,      19.1998859465191, 19.1428796063974, 19.2477081153014, 19.4237844042343,      19.3611499271018, 18.2989051402725, 18.2610111258248, 18.5252470382495,      18.5252470382495, 18.2234963781047, 18.2234963781047, 18.4499801912104,      18.1857629477019, 18.1476771148045, 18.1476771148045), PROX_ELDERLYCARE = c(0.229103995883471,      0.176499517448139, 0.176499517448139, 0.176499517448139,      0.0638277150498875, 0.482976337773198, 0.457204003422965,      0.533620939869422, 0.695760303539868, 0.67405856369397, 0.397078044127006,      0.421521882373529, 0.449194476018676, 0.449194476018676,      0.448333702611612, 0.448333702611612, 0.504778052376495,      0.47723779098819, 0.519546459890619, 0.519546459890619),          PROX_HAWKER = c(0.280513302960552, 0.325560722493799,          0.325560722493799, 0.325560722493799, 0.562029876499453,          0.407382567332432, 0.491246203286744, 0.435575948420033,          0.430278742731878, 0.578426076793613, 0.491047773869601,          0.453171307776496, 0.69553534809229, 0.69553534809229,          0.416527045274471, 0.416527045274471, 0.652207052169444,          0.380157991945912, 0.209390724873544, 0.209390724873544         ), PROX_MRT = c(1.03601464731326, 1.04083770509984, 1.04083770509984,          1.04083770509984, 0.874368880716004, 1.13705578024219,          1.0490560030484, 1.17336842789895, 1.37619150821735,          1.24242318119045, 0.552168886353884, 0.547550551918807,          0.398456142880405, 0.398456142880405, 0.545975779093886,          0.545975779093886, 0.322534237265928, 0.548087095608087,          0.491311596778589, 0.491311596778589), PROX_PARK = c(0.579556587207627,          0.51923222906617, 0.51923222906617, 0.51923222906617,          0.287868908027907, 0.708199402424467, 0.602588748705797,          0.715290586226954, 0.899998771522662, 0.694921724836528,          0.287159802467115, 0.272660801967067, 0.491317901173298,          0.491317901173298, 0.264257474455249, 0.264257474455249,          0.536975621309476, 0.261695126667213, 0.270911567278729,          0.270911567278729), PROX_GOOD_PRISCH = c(9.83133063879426,          9.7422556358987, 9.7422556358987, 9.7422556358987, 9.51590189269927,          10.205087741046, 10.1724586401982, 10.2559210914134,          10.4013344251086, 10.393420977377, 9.19982386356694,          9.16752282736586, 9.63394268044443, 9.63394268044443,          9.1355701416359, 9.1355701416359, 9.56762880935522, 9.10363750169146,          9.18618174729203, 9.18618174729203), PROX_MALL = c(0.91348864249693,          0.856774663098642, 0.856774663098642, 0.856774663098642,          0.624506085881379, 1.23204265332191, 1.19002137667581,          1.28177138580973, 1.44800971701603, 1.41164243574585,          0.486326630506135, 0.448092738738542, 0.705200807731176,          0.705200807731176, 0.411037179701155, 0.411037179701155,          0.662291407978718, 0.374195605351922, 0.218975149940797,          0.218975149940797), PROX_CHAS = c(0.241229981070425,          0.2593611752042, 0.2593611752042, 0.2593611752042, 0.0792988689034794,          0.377747950290313, 0.472048134528426, 0.34509608786971,          0.141128343720225, 0.346579909600863, 0.0660681856594747,          0.0964740211655948, 0.240425442805127, 0.240425442805127,          0.132763801624598, 0.132763801624598, 0.201478871858691,          0.172021358032342, 0.218975205360203, 0.218975205360203         ), PROX_SUPERMARKET = c(0.911876453557648, 0.856773769273042,          0.856773769273042, 0.856773769273042, 0.625539331690589,          1.12464344461301, 1.03656246660954, 1.16090501353567,          1.36375821567757, 1.22987785443232, 0.490326509583637,          0.457654559995222, 0.386130046709882, 0.386130046709882,          0.421116980529575, 0.421116980529575, 0.310351384739933,          0.38486207983901, 0.206881250620068, 0.206881250620068         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 2L,          2L, 2L, 1L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 1L, 1L, 2L, 2L,          2L, 2L, 0L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L         ), WITHIN_350M_BUS = c(13L, 16L, 16L, 16L, 10L, 10L,          6L, 9L, 6L, 8L, 6L, 6L, 8L, 8L, 6L, 6L, 9L, 4L, 7L, 7L         ), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 2L, 1L, 1L,          0L, 0L, 0L, 4L, 4L, 2L, 2L, 4L, 4L, 2L, 4L, 3L, 3L),          DNeighbour = c(0, 108.030177810677, 111.301471234943,          116.005720408717, 318.721328967813, 418.261039865817,          445.23365505489, 458.425194171246, 571.103738975806,          621.292672927459, 643.701071644941, 673.175279736104,          673.299635976409, 677.372856037979, 700.463257346488,          702.886093529126, 735.228845447358, 736.550630316381,          784.003378882362, 789.587012787556)), row.names = c("96",      "604", "418", "637", "78", "193", "484", "981", "2", "972",      "433", "905", "11", "106", "202", "47", "810", "733", "827",      "944"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.962911762742233,      0.960654462613714, 0.957295254267521, 0.700672866443367,      0.517529698139787, 0.465175077151726, 0.439458833650055,      0.227381574789476, 0.145050421429966, 0.112484809752998,      0.074600379500488, 0.0744537393850579, 0.0697158908328928,      0.045372092831777, 0.0430784875239636, 0.0176752036767408,      0.0168552505016616, 0.000198617392523064, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       779359748 
R squared (OOB):                  0.5000034 

$Forests[[97]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 335000, 680000,      660000, 735000, 3e+05, 380000, 350000, 388800, 333000, 325000,      420000, 380000, 347000, 320000, 390000, 4e+05, 380000, 418000,      562000), floor_area_sqm = c(92, 83, 87, 87, 97, 92, 92, 92,      98, 89, 82, 92, 92, 90, 90, 92, 92, 92, 92, 107), storey_order = c(1L,      3L, 6L, 3L, 6L, 2L, 4L, 4L, 2L, 1L, 4L, 5L, 2L, 5L, 2L, 1L,      4L, 4L, 4L, 7L), remaining_lease_mths = c(685, 687, 1076,      1066, 1066, 691, 693, 688, 697, 692, 666, 694, 687, 672,      672, 711, 690, 695, 691, 957), PROX_CBD = c(10.3184291669162,      10.5501175985891, 10.1126951054664, 10.1126951054664, 9.96973817000633,      10.7273754880637, 10.7273754880637, 10.7428660694501, 10.7178846249378,      10.7178846249378, 10.0782341562763, 10.5902646894981, 10.571248724537,      10.5036676165143, 10.5036676165143, 9.71066487891121, 9.59976569988281,      9.61422948612377, 9.61422948612377, 10.9472701195372), PROX_ELDERLYCARE = c(0.724299376510179,      0.724362239545807, 0.511544492658224, 0.511544492658224,      0.560133969723593, 0.968089576161562, 0.968089576161562,      1.00386291289403, 0.903749132751209, 0.903749132751209, 0.248412112584261,      0.476382036969741, 0.426373779355343, 0.346712236264009,      0.346712236264009, 0.385358274245319, 0.239547661796275,      0.28812103687201, 0.28812103687201, 0.867518349265545), PROX_HAWKER = c(0.285348407142059,      0.496328097640832, 0.268370020499938, 0.268370020499938,      0.246219700947935, 0.259491073356982, 0.259491073356982,      0.19921426515349, 0.131164348467149, 0.131164348467149, 0.250435976222025,      0.142004884371921, 0.155284554597335, 0.255376275980047,      0.255376275980047, 0.39402887106119, 0.436761476721694, 0.398658919868918,      0.398658919868918, 0.429153921265228), PROX_MRT = c(0.752281430413819,      0.92637591011884, 0.549740095282867, 0.549740095282867, 0.405168801785449,      0.880392787161762, 0.880392787161762, 0.911557541227745,      0.897030842789514, 0.897030842789514, 0.622308556906305,      0.793335563342317, 0.822399768635659, 0.908007357991278,      0.908007357991278, 0.746020760246364, 0.619962862184004,      0.667432439829923, 0.667432439829923, 0.638393210693291),          PROX_PARK = c(1.05219739289641, 0.888350706343443, 0.878497256111703,          0.878497256111703, 0.868342722448078, 0.675703893946554,          0.675703893946554, 0.65460215425144, 0.68415716278098,          0.68415716278098, 0.627458410441261, 0.57091664624863,          0.471129460807546, 0.381418159266178, 0.381418159266178,          0.914740437498633, 0.957886982704992, 0.922231693079911,          0.922231693079911, 0.730900012581548), PROX_GOOD_PRISCH = c(1.54472866778257,          1.37609088117382, 1.46177539101005, 1.46177539101005,          1.55873028154778, 1.51964159199475, 1.51964159199475,          1.57772010642862, 1.69245386393467, 1.69245386393467,          1.26151864262594, 0.962114901666907, 0.876989954992127,          0.825686703361669, 0.825686703361669, 2.31351362539819,          2.35345437748376, 2.38715383730665, 2.38715383730665,          1.50789829567152), PROX_MALL = c(0.472532088410597, 0.693136328895784,          0.269774803261538, 0.269774803261538, 0.129560175686973,          0.885934538444454, 0.885934538444454, 0.913300066979642,          0.922177591154216, 0.922177591154216, 0.418279044459304,          0.838333779631814, 0.872531493441133, 0.873995522285645,          0.873995522285645, 0.505770857705003, 0.387669919047214,          0.43353114329251, 0.43353114329251, 1.34630282297423),          PROX_CHAS = c(0.165961529218061, 0.120595382532287, 0.20472250196774,          0.20472250196774, 0.0647243745052949, 0.161497017697243,          0.161497017697243, 0.184868017131885, 0.141741960002869,          0.141741960002869, 0.186550674976261, 0.0950095589968322,          0.109732367463933, 0.217153936659979, 0.217153936659979,          0.255589678637005, 0.263208245292117, 0.28666502826278,          0.28666502826278, 0.344403926608958), PROX_SUPERMARKET = c(0.447507928623339,          0.448117335537485, 0.35798039621586, 0.35798039621586,          0.241122798862169, 0.294310303883692, 0.294310303883692,          0.247977273863763, 0.141741503991008, 0.141741503991008,          0.255147915067147, 0.190547463602814, 0.199099262156692,          0.291549431934698, 0.291549431934698, 0.363062686357781,          0.44091986097032, 0.396736556610776, 0.396736556610776,          0.381194313170787), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 1L, 1L, 0L, 2L, 2L, 2L, 2L, 2L, 1L, 0L, 0L, 0L, 0L,          1L, 2L, 2L, 2L, 1L), WITHIN_350M_CHILDCARE = c(4L, 2L,          6L, 6L, 6L, 3L, 3L, 3L, 4L, 4L, 5L, 2L, 3L, 2L, 2L, 2L,          4L, 3L, 3L, 0L), WITHIN_350M_BUS = c(7L, 6L, 6L, 6L,          7L, 4L, 4L, 5L, 6L, 6L, 5L, 6L, 5L, 6L, 6L, 13L, 11L,          11L, 11L, 2L), WITHIN_1KM_PRISCH = c(5L, 5L, 3L, 3L,          2L, 5L, 5L, 5L, 5L, 5L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 4L,          4L, 4L), DNeighbour = c(0, 245.611668865797, 279.303113024557,          289.148611071837, 397.308248935068, 405.267840438255,          407.760932844653, 438.663491502648, 456.962341697619,          458.175105927324, 528.520818508973, 580.806910132728,          662.46006769003, 724.576942652918, 730.389733614581,          912.808333157739, 914.073108861762, 933.054157283146,          933.838160326667, 940.786941671353)), row.names = c("97",      "778", "316", "506", "471", "648", "651", "43", "429", "914",      "84", "701", "210", "482", "940", "776", "964", "603", "499",      "255"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.868329924626336,      0.831490160460716, 0.819998075492135, 0.675109067366427,      0.663300432001677, 0.65957535005955, 0.612446399250361, 0.583807038016815,      0.581892392900043, 0.468398742661641, 0.382991546510448,      0.254182728915665, 0.165502558247042, 0.157819096724078,      0.00343334090472444, 0.00313422073679275, 0.000268023083641376,      0.000216611258545509, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3785912672 
R squared (OOB):                  0.7683894 

$Forests[[98]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 370000, 320000,      347000, 380000, 420000, 335000, 325000, 3e+05, 380000, 350000,      680000, 660000, 390000, 388800, 333000, 735000, 540000, 562000,      462000), floor_area_sqm = c(83, 84, 90, 90, 92, 92, 83, 82,      92, 92, 92, 87, 87, 92, 98, 89, 97, 107, 107, 105), storey_order = c(1L,      3L, 2L, 5L, 2L, 5L, 3L, 4L, 2L, 4L, 4L, 6L, 3L, 1L, 2L, 1L,      6L, 6L, 7L, 1L), remaining_lease_mths = c(777, 673, 672,      672, 687, 694, 687, 666, 691, 693, 688, 1076, 1066, 685,      697, 692, 1066, 969, 957, 965), PROX_CBD = c(11.0884508558618,      10.6549850760698, 10.5036676165143, 10.5036676165143, 10.571248724537,      10.5902646894981, 10.5501175985891, 10.0782341562763, 10.7273754880637,      10.7273754880637, 10.7428660694501, 10.1126951054664, 10.1126951054664,      10.3184291669162, 10.7178846249378, 10.7178846249378, 9.96973817000633,      11.0486323727393, 10.9472701195372, 10.9320040827019), PROX_ELDERLYCARE = c(1.02650055154577,      0.531453703929196, 0.346712236264009, 0.346712236264009,      0.426373779355343, 0.476382036969741, 0.724362239545807,      0.248412112584261, 0.968089576161562, 0.968089576161562,      1.00386291289403, 0.511544492658224, 0.511544492658224, 0.724299376510179,      0.903749132751209, 0.903749132751209, 0.560133969723593,      0.974567200018427, 0.867518349265545, 0.83761180429981),          PROX_HAWKER = c(0.698836827436486, 0.345053577007401,          0.255376275980047, 0.255376275980047, 0.155284554597335,          0.142004884371921, 0.496328097640832, 0.250435976222025,          0.259491073356982, 0.259491073356982, 0.19921426515349,          0.268370020499938, 0.268370020499938, 0.285348407142059,          0.131164348467149, 0.131164348467149, 0.246219700947935,          0.436692566666558, 0.429153921265228, 0.499252912381913         ), PROX_MRT = c(0.761094255738083, 0.849090589690401,          0.908007357991278, 0.908007357991278, 0.822399768635659,          0.793335563342317, 0.92637591011884, 0.622308556906305,          0.880392787161762, 0.880392787161762, 0.911557541227745,          0.549740095282867, 0.549740095282867, 0.752281430413819,          0.897030842789514, 0.897030842789514, 0.405168801785449,          0.741783227751877, 0.638393210693291, 0.582189406643083         ), PROX_PARK = c(0.300475000526789, 0.204920490916151,          0.381418159266178, 0.381418159266178, 0.471129460807546,          0.57091664624863, 0.888350706343443, 0.627458410441261,          0.675703893946554, 0.675703893946554, 0.65460215425144,          0.878497256111703, 0.878497256111703, 1.05219739289641,          0.68415716278098, 0.68415716278098, 0.868342722448078,          0.644279497097323, 0.730900012581548, 0.802226928628916         ), PROX_GOOD_PRISCH = c(0.293049282005855, 0.576127248022356,          0.825686703361669, 0.825686703361669, 0.876989954992127,          0.962114901666907, 1.37609088117382, 1.26151864262594,          1.51964159199475, 1.51964159199475, 1.57772010642862,          1.46177539101005, 1.46177539101005, 1.54472866778257,          1.69245386393467, 1.69245386393467, 1.55873028154778,          1.50173151878208, 1.50789829567152, 1.4460454342776),          PROX_MALL = c(1.6122764231009, 1.12054305374088, 0.873995522285645,          0.873995522285645, 0.872531493441133, 0.838333779631814,          0.693136328895784, 0.418279044459304, 0.885934538444454,          0.885934538444454, 0.913300066979642, 0.269774803261538,          0.269774803261538, 0.472532088410597, 0.922177591154216,          0.922177591154216, 0.129560175686973, 1.41292867182356,          1.34630282297423, 1.37776203899083), PROX_CHAS = c(0.206694589078668,          0.290835710912963, 0.217153936659979, 0.217153936659979,          0.109732367463933, 0.0950095589968322, 0.120595382532287,          0.186550674976261, 0.161497017697243, 0.161497017697243,          0.184868017131885, 0.20472250196774, 0.20472250196774,          0.165961529218061, 0.141741960002869, 0.141741960002869,          0.0647243745052949, 0.375455350402476, 0.344403926608958,          0.293630149165848), PROX_SUPERMARKET = c(0.293331714819264,          0.292451786949051, 0.291549431934698, 0.291549431934698,          0.199099262156692, 0.190547463602814, 0.448117335537485,          0.255147915067147, 0.294310303883692, 0.294310303883692,          0.247977273863763, 0.35798039621586, 0.35798039621586,          0.447507928623339, 0.141741503991008, 0.141741503991008,          0.241122798862169, 0.408205375796458, 0.381194313170787,          0.445162931243089), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 0L, 0L, 0L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L,          2L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 1L,          2L, 2L, 3L, 2L, 2L, 5L, 3L, 3L, 3L, 6L, 6L, 4L, 4L, 4L,          6L, 0L, 0L, 0L), WITHIN_350M_BUS = c(8L, 7L, 6L, 6L,          5L, 6L, 6L, 5L, 4L, 4L, 5L, 6L, 6L, 7L, 6L, 6L, 7L, 2L,          2L, 0L), WITHIN_1KM_PRISCH = c(1L, 2L, 2L, 2L, 2L, 2L,          5L, 2L, 5L, 5L, 5L, 3L, 3L, 5L, 5L, 5L, 2L, 3L, 4L, 4L         ), DNeighbour = c(0, 502.228086215659, 742.846194612185,          745.738920198025, 759.602746023206, 825.577227468394,          1205.98846803773, 1222.03197814516, 1310.47140786617,          1314.29680399274, 1367.52327649018, 1371.07288293003,          1373.45032172772, 1403.37480141238, 1479.68951666773,          1490.45515281195, 1492.91409447197, 1905.17382622908,          1938.41838101651, 2012.49643082926)), row.names = c("98",      "728", "940", "482", "210", "701", "778", "84", "648", "651",      "43", "316", "506", "97", "429", "914", "471", "630", "255",      "671"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.879323329846335,      0.746068909088385, 0.74423337366593, 0.735369296234538, 0.691749992551362,      0.410752102832444, 0.398516358640848, 0.331754624531069,      0.328904919046993, 0.289721861181749, 0.287143823700611,      0.285419842945337, 0.263918934205485, 0.211054175910277,      0.203862564233211, 0.202230219985963, 0.0107769952531335,      0.00522196476580138, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5185959735 
R squared (OOB):                  0.6985385 

$Forests[[99]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(319000, 310000, 280000,      310500, 305000, 323000, 323000, 320000, 305000, 328000, 335000,      368000, 333000, 420000, 432000, 410000, 375000, 415000, 360000,      325000), floor_area_sqm = c(101, 89, 90, 92, 91, 91, 101,      101, 99, 92, 100, 106, 99, 92, 92, 92, 102, 92, 99, 91),          storey_order = c(4L, 1L, 3L, 4L, 4L, 2L, 1L, 2L, 4L,          3L, 4L, 3L, 3L, 1L, 4L, 2L, 3L, 2L, 3L, 2L), remaining_lease_mths = c(950,          946, 958, 932, 932, 974, 937, 931, 930, 923, 927, 952,          927, 1121, 1123, 1136, 932, 1125, 915, 970), PROX_CBD = c(17.1356331652512,          17.0860498579873, 17.0860498579873, 17.1621565450396,          17.1300558853523, 16.9744532057656, 17.4093430047218,          17.1235753252943, 17.5508688704121, 17.049182232397,          17.5934100264964, 17.1751323002447, 17.6933534103443,          17.7152334804069, 17.7152334804069, 17.7152334804069,          17.424297644009, 17.7609329148819, 17.6482187406162,          17.7083177660008), PROX_ELDERLYCARE = c(0.585213362825854,          0.634635376150565, 0.634635376150565, 0.588822776266157,          0.650159488421832, 0.669866762803474, 0.347622879353981,          0.697818713768909, 0.169110695114153, 0.850080656271298,          0.183364759720919, 0.268202380119324, 0.174626049595048,          0.0982899037000713, 0.0982899037000713, 0.0982899037000713,          0.332680427012888, 0.0656405943898966, 0.399377154365588,          0.378187975507624), PROX_HAWKER = c(0.905166107754752,          0.984075399620173, 0.984075399620173, 0.776103543372746,          0.747949107581356, 1.16076193719705, 0.646263997619536,          0.705945006380572, 0.736171211400498, 0.714958983882519,          0.860123145519879, 1.37649043343687, 0.89059259132002,          0.815736811633103, 0.815736811633103, 0.815736811633103,          1.2762396177499, 0.769612072642938, 1.11261554439583,          0.340346390827249), PROX_MRT = c(0.689848925621533, 0.610921595420819,          0.610921595420819, 0.827901946736494, 0.826263947198081,          0.434229027914827, 0.722831181419355, 0.782769723074986,          0.804998329325227, 0.785333186388227, 0.675234243169572,          0.477350523334022, 0.606842528225389, 0.674833365376197,          0.674833365376197, 0.674833365376197, 0.484502150769697,          0.714624513867521, 0.417091391951799, 0.403335562748004         ), PROX_PARK = c(2.00545012030434, 1.98249707589613,          1.98249707589613, 2.12305734030611, 2.21165427538899,          1.94357933186421, 1.92330050908574, 2.27471658155514,          1.71737354643835, 2.39009267562017, 1.60355051242194,          1.53652128691969, 1.49905344652453, 1.52614967260321,          1.52614967260321, 1.52614967260321, 1.39102562335911,          1.52091098886828, 1.38656874841243, 1.86766019581863),          PROX_GOOD_PRISCH = c(7.76178719780886, 7.72567604662297,          7.72567604662297, 7.75790588282746, 7.71077701272798,          7.64555391975429, 8.00696366683488, 7.68854504458572,          8.17476856172454, 7.5878538843241, 8.24279341902993,          7.92485948387043, 8.34857469941546, 8.35538963357137,          8.35538963357137, 8.35538963357137, 8.1609833985331,          8.39120163011403, 8.34983568407236, 8.26299778187914),          PROX_MALL = c(0.382407895591973, 0.314944256820634, 0.314944256820634,          0.509108711773916, 0.568151229694078, 0.199292924769147,          0.265229996889848, 0.614584601713128, 0.109574351562212,          0.718658142186859, 0.188384425612312, 0.221509518429623,          0.223321337745784, 0.158599011552442, 0.158599011552442,          0.158599011552442, 0.394560370801339, 0.147411017927622,          0.439097430243665, 0.335143296665789), PROX_CHAS = c(0.257714074421561,          0.250499161266826, 0.250499161266826, 0.242301342816858,          0.159798231789153, 0.199292963025488, 0.23105278557526,          0.076148424020495, 0.048268048492383, 0.13498084818294,          0.151781240761386, 0.166686655025282, 0.21485891447712,          0.158598978424062, 0.158598978424062, 0.158598978424062,          0.265229996652697, 0.14741100268466, 0.414359256629807,          0.30242004444134), PROX_SUPERMARKET = c(0.257714572429151,          0.250499698074938, 0.250499698074938, 0.263452146302603,          0.260386915772359, 0.25551504160041, 0.313773352526138,          0.307215454393191, 0.15801430638391, 0.397684558683682,          0.209139790637019, 0.166252253534119, 0.218378438252518,          0.144345834884574, 0.144345834884574, 0.144345834884574,          0.265230176390619, 0.113022549454425, 0.441697647833666,          0.332189289926598), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 2L, 2L, 2L,          2L, 1L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(5L, 6L,          6L, 5L, 5L, 6L, 7L, 5L, 7L, 12L, 6L, 4L, 5L, 6L, 6L,          6L, 2L, 8L, 3L, 6L), WITHIN_350M_BUS = c(11L, 11L, 11L,          11L, 13L, 13L, 13L, 11L, 12L, 8L, 12L, 10L, 13L, 12L,          12L, 12L, 9L, 10L, 9L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 5L, 4L, 6L, 2L, 8L, 5L, 8L, 7L, 7L,          7L, 5L, 6L, 7L, 5L), DNeighbour = c(0, 80.7892870257726,          86.992385860464, 156.713228282739, 231.134106832058,          256.523867694131, 295.390169241141, 321.603839905226,          418.9723158293, 482.727151089641, 487.823927814503, 575.770640009633,          587.506007018026, 590.316646342595, 591.137107075844,          592.96599085571, 624.06468914675, 631.638259568725, 655.1785210105,          661.91712729941)), row.names = c("99", "685", "704",      "190", "170", "902", "174", "871", "438", "520", "419", "658",      "112", "289", "298", "13", "736", "365", "891", "544"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.970427819529112, 0.965753335723746, 0.891034667971042,      0.771001865870901, 0.72217274308403, 0.641357397462931, 0.583593684425605,      0.359222335505881, 0.219156336605259, 0.208712864047316,      0.0592219725958956, 0.0450277552993911, 0.0418782215277232,      0.0409776101817734, 0.0390009275442687, 0.0123436300688723,      0.00799162035651396, 0.000410355558578502, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1665459474 
R squared (OOB):                  0.1451023 

$Forests[[100]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418888, 442500, 418000,      450000, 382000, 345000, 425000, 430000, 415000, 390000, 418000,      462000, 395000, 443000, 425000, 447888, 459000, 445000, 335000,      318000), floor_area_sqm = c(92, 92, 92, 92, 93, 90, 93, 92,      92, 92, 92, 93, 93, 93, 93, 93, 93, 93, 102, 90), storey_order = c(3L,      6L, 5L, 4L, 1L, 5L, 5L, 5L, 2L, 1L, 3L, 5L, 2L, 5L, 4L, 5L,      4L, 4L, 4L, 3L), remaining_lease_mths = c(1136, 1138, 1142,      1135, 1111, 937, 1134, 1137, 1132, 1132, 1134, 1134, 1138,      1134, 1134, 1137, 1138, 1133, 940, 968), PROX_CBD = c(14.4158973706441,      14.4158973706441, 14.4012043650842, 14.5310939664424, 14.29200158436,      14.2787185061121, 14.3486805845321, 14.2919055230493, 14.6122009832922,      14.6424103631698, 14.318757359464, 14.1475961545785, 14.318757359464,      14.1475961545785, 14.318757359464, 14.1475961545785, 14.1715462602585,      14.1149653809405, 14.4474740114555, 14.1338242827509), PROX_ELDERLYCARE = c(1.86115765343828,      1.86115765343828, 1.94149260139439, 1.79186944623163, 2.00367987562091,      1.77826193055387, 2.08279710659019, 2.08663557441472, 1.68824062303628,      1.72557175775889, 2.13920478430288, 2.03155968851809, 2.13920478430288,      2.03155968851809, 2.13920478430288, 2.03155968851809, 2.09595649451453,      2.12564955085825, 1.50338082315219, 2.28550514148655), PROX_HAWKER = c(0.900970586039013,      0.900970586039013, 0.977925494011815, 0.816792492128141,      1.05572120633707, 0.865181709866835, 1.11865892678262, 1.13160866269818,      0.707122679385598, 0.740384095011384, 1.17625726432186, 1.0452124348096,      1.17625726432186, 1.0452124348096, 1.17625726432186, 1.0452124348096,      1.11030496241672, 1.06810792734919, 0.588144724666333, 1.19906286300234     ), PROX_MRT = c(0.0830542408041225, 0.0830542408041225, 0.117672709296806,      0.197201307651512, 0.129588785375857, 0.14195902454703, 0.228370105834555,      0.215635082050947, 0.295449456212788, 0.312698200175978,      0.277525006355607, 0.206896355650083, 0.277525006355607,      0.206896355650083, 0.277525006355607, 0.206896355650083,      0.236487582928319, 0.282489779359316, 0.224566301285939,      0.414064606154384), PROX_PARK = c(1.70853765465547, 1.70853765465547,      1.73691437359179, 1.79335149216305, 1.659682039687, 1.51686048726609,      1.76668334590621, 1.71136953372848, 1.76906915549279, 1.78460824921244,      1.77227256709076, 1.52292224478236, 1.77227256709076, 1.52292224478236,      1.77227256709076, 1.52292224478236, 1.59201213147604, 1.55223981690243,      1.55939681176166, 1.68789157401301), PROX_GOOD_PRISCH = c(5.62289607338158,      5.62289607338158, 5.65284274036128, 5.7030752613132, 5.57470277830303,      5.42826997650874, 5.67955556528646, 5.62322031775431, 5.7298925008129,      5.77937603269072, 5.68167095374807, 5.43570837857945, 5.68167095374807,      5.43570837857945, 5.68167095374807, 5.43570837857945, 5.50129862889456,      5.45814117537329, 5.45861643017911, 5.57754198399205), PROX_MALL = c(0.475045953779526,      0.475045953779526, 0.544441659044551, 0.466036051693473,      0.462705775504015, 0.338911837083335, 0.571430807201143,      0.517951444315281, 0.426875162675013, 0.482269498416602,      0.582562895872492, 0.329425359540921, 0.582562895872492,      0.329425359540921, 0.582562895872492, 0.329425359540921,      0.405991175981987, 0.377565489031552, 0.12145856762689, 0.547412994688805     ), PROX_CHAS = c(0.0420419616737589, 0.0420419616737589,      0.0706873614354785, 0.162368565956873, 0.0888572682655253,      0.18872293939054, 0.0590253437170886, 3.54155757628082e-08,      0.270793953405505, 0.280031834846542, 0.0707174365033835,      0.188783823394846, 0.0707174365033835, 0.188783823394846,      0.0707174365033835, 0.188783823394846, 0.12657377242065,      0.179884741524278, 0.121458549123021, 0.219091723429967),          PROX_SUPERMARKET = c(0.0420421510628514, 0.0420421510628514,          0.0706874850207218, 0.162368758687164, 0.124391003677116,          0.188722783027928, 0.199153546859355, 0.199383936085002,          0.270794118098451, 0.280032026158491, 0.25307995359875,          0.235757849482592, 0.25307995359875, 0.235757849482592,          0.25307995359875, 0.235757849482592, 0.248308073473709,          0.299769914037237, 0.134916350552101, 0.41091265647621         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 1L, 2L,          1L, 1L, 0L, 0L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 4L, 5L, 6L,          4L, 5L, 5L, 3L, 4L, 6L, 4L, 6L, 4L, 6L, 5L, 6L, 5L, 3L         ), WITHIN_350M_BUS = c(7L, 7L, 6L, 8L, 5L, 8L, 4L, 4L,          6L, 6L, 3L, 6L, 3L, 6L, 3L, 6L, 5L, 5L, 11L, 3L), WITHIN_1KM_PRISCH = c(4L,          4L, 3L, 3L, 4L, 4L, 3L, 3L, 4L, 3L, 3L, 4L, 3L, 4L, 3L,          4L, 4L, 4L, 5L, 3L), DNeighbour = c(0, 2.11458633903791,          77.3956378970327, 123.271465138514, 157.993056054959,          210.383581503883, 217.645339303822, 231.773775022514,          236.141819315652, 243.539043367805, 269.093006774472,          274.006453754348, 275.201569058759, 277.34294853211,          278.531134432325, 278.868086847637, 288.591415136178,          343.708986646164, 377.507339384183, 446.098178515187)), row.names = c("100",      "33", "633", "609", "989", "329", "217", "267", "489", "323",      "58", "207", "840", "966", "205", "623", "277", "519", "826",      "120"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999955061863307,      0.940705260795001, 0.853111403065154, 0.764865775402943,      0.604639455676689, 0.580593146987954, 0.532987199417189,      0.518096455477503, 0.492746168155473, 0.404663858299194,      0.387783551662396, 0.383686619085263, 0.376356196922657,      0.37229500900844, 0.371144177818097, 0.338130534868277, 0.165130984203348,      0.0805840197422619, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1273061245 
R squared (OOB):                  0.24669 

$Forests[[101]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 308000, 355000,      355000, 365000, 280000, 3e+05, 380000, 418000, 375000, 398000,      295000, 327000, 359000, 358000, 318000, 313000, 315000, 395000,      350000), floor_area_sqm = c(84, 84, 104, 104, 103, 84, 85,      108, 104, 104, 104, 83, 84, 103, 91, 84, 84, 104, 93, 93),          storey_order = c(2L, 1L, 2L, 4L, 4L, 4L, 4L, 2L, 1L,          1L, 3L, 1L, 1L, 1L, 1L, 1L, 4L, 4L, 4L, 1L), remaining_lease_mths = c(787,          779, 785, 814, 805, 809, 798, 807, 794, 808, 823, 812,          802, 799, 760, 785, 772, 777, 1108, 1111), PROX_CBD = c(14.7686155241139,          14.8104288104214, 14.7946380504301, 14.9797222810306,          14.5082496767788, 14.5514247745221, 14.6468242567931,          14.3069689320192, 14.6249352309891, 14.2674761918172,          14.4215550437188, 14.136177090114, 15.395293903354, 14.1470244070667,          15.6053010835868, 15.4237712873611, 15.5029529482698,          15.5029529482698, 14.6649260398624, 14.6221320584002),          PROX_ELDERLYCARE = c(1.18091019396193, 1.14385816982861,          1.02543356664281, 1.40865121451131, 1.0960579077266,          0.934928905143492, 0.791783477476035, 1.30284795398611,          1.66362706878828, 1.37520258101488, 0.933706769700102,          1.52241617566094, 1.48326161455178, 1.73443513584582,          1.18278326755006, 1.66429806880172, 1.60634233373903,          1.60634233373903, 0.374463671675583, 0.410896008057539         ), PROX_HAWKER = c(1.07995965555937, 1.03493347869974,          0.927587772885235, 1.17708155532767, 1.06968967826483,          0.920905853639359, 0.771377618176498, 1.30042856091519,          1.46189875323845, 1.3725902814614, 0.964097104531415,          1.5304212921709, 0.763118949388798, 1.71810403079302,          0.745618024005524, 0.663653920640621, 0.592613874358246,          0.592613874358246, 0.515424723672587, 0.55845452984231         ), PROX_MRT = c(0.495669019430354, 0.547659244513397,          0.635923545376501, 0.541117453484526, 0.541381135472874,          0.702240402731505, 0.834242720427877, 0.431073100471927,          0.177135615746217, 0.392323251912074, 0.766580328668093,          0.407136749273107, 0.486709870425329, 0.316955810938843,          0.180817781363956, 0.641519249244255, 0.579811001445256,          0.579811001445256, 1.31347134818138, 1.30119397664661         ), PROX_PARK = c(0.837021679605882, 0.79060261488636,          0.687013904416796, 0.869949400509587, 0.854937524579578,          0.717751277212032, 0.572284771964545, 0.87843358408359,          0.967683324465338, 0.808406007535371, 0.786856267919922,          0.646645557650639, 0.736647900507106, 0.521638252737905,          0.580682002012541, 0.527546900647844, 0.518465718930498,          0.518465718930498, 0.48594234877488, 0.524601749565547         ), PROX_GOOD_PRISCH = c(5.21242267662931, 5.2589313064801,          5.2635668385575, 5.38873705701154, 4.9821455258424, 5.05486565817651,          5.17213285521296, 4.7599521059868, 5.00900650468442,          4.71060068854172, 4.94298421634201, 4.56541244462189,          5.79164197089728, 4.5417585858835, 6.02648848177283,          5.79932453842233, 5.8805780078001, 5.8805780078001, 5.30673314037113,          5.26427170666348), PROX_MALL = c(0.644074766251318, 0.641907311269237,          0.540570027720398, 0.857174016474006, 0.395836928017505,          0.264439990658005, 0.253080993480643, 0.530519583310388,          1.02277508016934, 0.598720745421956, 0.158055972255249,          0.730402721918488, 0.561468969675593, 0.958986678954386,          0.252610517585887, 0.726704111983395, 0.667352945771092,          0.667352945771092, 0.439421746266814, 0.412850725186958         ), PROX_CHAS = c(0.305551557127515, 0.273160540123658,          0.151656769473437, 0.0593781975043205, 0.111998728732921,          0.0412741280494288, 0.118994056415591, 0.141608811196257,          0.253202817693943, 0.0989632897848068, 0.110909163864147,          0.0978085819739089, 0.1019571402223, 0.262672355720334,          0.0925674017483885, 0.11942955396425, 0.128101303359069,          0.128101303359069, 0.0969357032130768, 0.0938393111767789         ), PROX_SUPERMARKET = c(0.397697747354111, 0.406551385550075,          0.505826018716947, 0.101389584423307, 0.321173728185784,          0.259076961683863, 0.246822057901315, 0.179396317901182,          0.177136085505812, 0.13781747249929, 0.155031856949385,          0.152757697669253, 0.0953919744611677, 0.246179282205813,          0.188530812320699, 0.307102160965552, 0.314517101025506,          0.314517101025506, 0.0969351949685631, 0.0938384818523742         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 1L,          1L, 2L, 1L, 3L, 1L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 5L, 3L, 4L, 4L,          5L, 7L, 1L, 7L, 3L, 7L, 2L, 4L, 5L, 3L, 2L, 2L, 6L, 6L         ), WITHIN_350M_BUS = c(8L, 7L, 8L, 10L, 8L, 7L, 9L, 7L,          9L, 6L, 10L, 7L, 9L, 6L, 10L, 11L, 10L, 10L, 8L, 9L),          WITHIN_1KM_PRISCH = c(3L, 4L, 3L, 4L, 3L, 2L, 3L, 3L,          2L, 3L, 2L, 3L, 4L, 2L, 4L, 4L, 3L, 3L, 4L, 4L), DNeighbour = c(0,          56.8739331229101, 159.363297439769, 307.161221856696,          309.795738111572, 383.354204123294, 445.647937580655,          463.346121881838, 484.286921902098, 509.40814299572,          518.254284250313, 648.93658051298, 699.965158687289,          741.092217587683, 841.488797427585, 841.951110725957,          887.657885274675, 888.727807457355, 923.964962144546,          927.707435260958)), row.names = c("101", "396", "424",      "984", "884", "253", "862", "341", "30", "377", "546", "665",      "556", "636", "143", "293", "587", "162", "17", "324"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.992497300536393, 0.94185277480982, 0.792767149791151, 0.789407641948992,      0.687644037852466, 0.591729199079966, 0.563320575996818,      0.529240820099985, 0.487880549743195, 0.473236111399163,      0.260806179662701, 0.185514247108418, 0.130935787194954,      0.0314130551528916, 0.0310933219992698, 0.00713640027342803,      0.00676816699323706, 6.48338086092151e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1295946654 
R squared (OOB):                  0.1218684 

$Forests[[102]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 368888, 395000,      4e+05, 394000, 375000, 378000, 378000, 333000, 324000, 320000,      310000, 330000, 345000, 335000, 375000, 373888, 333000, 320000,      345000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      100, 90, 100, 91, 102, 102, 100, 93, 93, 90, 101, 102), storey_order = c(4L,      4L, 3L, 4L, 5L, 2L, 3L, 2L, 4L, 4L, 4L, 4L, 1L, 2L, 4L, 5L,      5L, 2L, 1L, 4L), remaining_lease_mths = c(1135, 1143, 1132,      1145, 1142, 1135, 1133, 1136, 928, 929, 930, 927, 911, 927,      930, 993, 990, 1009, 924, 926), PROX_CBD = c(18.528449956106,      18.528449956106, 18.4477570786683, 18.4659506582063, 18.5586196198757,      18.5586196198757, 18.5541585191533, 18.6831604018118, 18.2095446148373,      18.3448727328387, 18.242108360018, 18.6571260927441, 18.2320763538069,      18.2868848905217, 17.9186379864086, 17.8363687874637, 17.8363687874637,      17.8072819651564, 18.0902268845521, 18.236688278315), PROX_ELDERLYCARE = c(1.49671415705568,      1.49671415705568, 1.45029388933935, 1.40960952841152, 1.41981179339616,      1.41981179339616, 1.3934670212363, 1.47678345842271, 1.17430183890643,      1.12000720290482, 1.08331104464233, 1.27166470727688, 0.927534095024191,      0.896456720381782, 1.13507400842797, 1.40920769604983, 1.40920769604983,      1.52664538751384, 0.706169610995159, 0.732088251039709),          PROX_HAWKER = c(0.947708217710491, 0.947708217710491,          0.879695992543251, 0.861254406292383, 0.915906485722884,          0.915906485722884, 0.899006211509986, 1.01746494726896,          0.579651089601917, 0.636376603494217, 0.548257960059823,          0.924657565926692, 0.493410913505403, 0.547085889030319,          0.435091735724103, 0.692541487012902, 0.692541487012902,          0.809141875883089, 0.370412154176866, 0.537987121264097         ), PROX_MRT = c(0.869531291623609, 0.869531291623609,          0.801027338961469, 0.783375472664302, 0.839968978875504,          0.839968978875504, 0.823747240068891, 0.943619619760125,          0.501132314022455, 0.565211037998289, 0.47401652613315,          0.861078471223358, 0.433316978327494, 0.495991449430539,          0.364011265623101, 0.634260663268818, 0.634260663268818,          0.753928873695942, 0.341202563029131, 0.511061821383635         ), PROX_PARK = c(2.37596217173297, 2.37596217173297,          2.38376543636855, 2.321508063195, 2.25577949184332, 2.25577949184332,          2.22642888666982, 2.2148581526701, 2.25371860749481,          2.08056453235766, 2.12857307310705, 1.95136051888807,          1.96114614265628, 1.86697967968657, 2.31505119222808,          2.04440878541867, 2.04440878541867, 1.93736074272598,          1.8531048262974, 1.7164330470264), PROX_GOOD_PRISCH = c(8.9605147002348,          8.9605147002348, 8.8804818877731, 8.90481615501782, 9.00274768401056,          9.00274768401056, 9.00155567304774, 9.12987022396436,          8.6635222339794, 8.81498363377987, 8.71021480286832,          9.13456945987866, 8.72297519828522, 8.78822500750919,          8.3676789538936, 8.25468587074647, 8.25468587074647,          8.21423979230025, 8.60631027953587, 8.76378557853615),          PROX_MALL = c(0.613385110580272, 0.613385110580272, 0.601716003339109,          0.542775018358786, 0.5054917244252, 0.5054917244252,          0.475387173022169, 0.525391611000181, 0.468966497593582,          0.284195187673565, 0.347669457974494, 0.300602441432182,          0.22704735136933, 0.1450338527091, 0.384238747959315,          0.630636123898788, 0.630636123898788, 0.745769461616378,          0.342860958869265, 0.240339889961931), PROX_CHAS = c(0.220932244035638,          0.220932244035638, 0.260006933015678, 0.20305264112251,          0.101888085354885, 0.101888085354885, 0.0809306171135589,          0.090990597005735, 0.3998394205418, 0.24769320941352,          0.274735402884708, 0.214120710257936, 0.11607611654581,          0.0217240252323136, 0.360842629752134, 0.221589023831152,          0.221589023831152, 0.195830090979757, 0.209799590563819,          0.184864523484869), PROX_SUPERMARKET = c(0.220931072377982,          0.220931072377982, 0.260005577706646, 0.203051245143547,          0.101886801165025, 0.101886801165025, 0.080929224247632,          0.0909910491430168, 0.402574253870019, 0.284194910851331,          0.347668959247477, 0.214121714630789, 0.227046556279957,          0.145032957963293, 0.360842909613722, 0.22158921197453,          0.22158921197453, 0.265666518411173, 0.342860053820009,          0.240339157209448), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 2L, 2L, 1L,          1L, 1L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 2L, 5L, 3L, 3L, 5L, 7L, 1L, 3L,          3L, 2L, 6L, 6L), WITHIN_350M_BUS = c(6L, 6L, 8L, 6L,          5L, 5L, 8L, 5L, 8L, 8L, 7L, 8L, 10L, 9L, 11L, 6L, 6L,          4L, 7L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 4L,          4L, 4L, 3L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 3L, 3L, 5L,          6L), DNeighbour = c(0, 1.75979912924186, 86.1878285766968,          96.709165825447, 123.045071041156, 125.311150125443,          147.088530813563, 214.720513602318, 371.318463004097,          382.673706186497, 421.691376747825, 433.051270726918,          577.225946884759, 625.528182890208, 627.17269034433,          718.112230812694, 718.971336738611, 779.13699173379,          790.792481679486, 803.000169228374)), row.names = c("102",      "875", "504", "777", "581", "35", "563", "664", "243", "512",      "608", "761", "443", "787", "590", "118", "391", "358", "74",      "227"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999990394413747,      0.977092284280996, 0.971201298991512, 0.953591407910938,      0.951887540235352, 0.934020552012932, 0.862109266319616,      0.618068549676677, 0.597367266588415, 0.524498839886599,      0.502914340597512, 0.233553642176351, 0.154587652279738,      0.152085571847081, 0.0401007078796309, 0.0393375361584044,      0.00342832715339548, 0.000910474743385791, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       324321719 
R squared (OOB):                  0.6099798 

$Forests[[103]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(399000, 365000, 355000,      380000, 410000, 395000, 420000, 385000, 350000, 440000, 420000,      411000, 415000, 418000, 425000, 485000, 423000, 410000, 430000,      415000), floor_area_sqm = c(102, 103, 84, 105, 84, 103, 103,      102, 84, 104, 105, 104, 103, 84, 104, 104, 104, 104, 104,      108), storey_order = c(3L, 1L, 3L, 1L, 4L, 4L, 2L, 3L, 2L,      3L, 2L, 1L, 2L, 3L, 3L, 3L, 2L, 2L, 1L, 3L), remaining_lease_mths = c(766,      757, 804, 775, 814, 772, 757, 755, 806, 752, 787, 806, 768,      821, 747, 823, 827, 761, 805, 904), PROX_CBD = c(13.0078000734933,      13.0970803497533, 13.01786092695, 12.8173662852819, 12.8927390133383,      13.1724132817366, 13.2614515751509, 13.2614515751509, 13.3385512116162,      13.1913836000948, 12.7549887608908, 13.1755942624772, 13.0537205387581,      13.3325431063631, 12.4246534304877, 12.533007335037, 13.4971436153267,      12.2901811097239, 12.514948085948, 13.7944980809676), PROX_ELDERLYCARE = c(0.748101088186933,      0.830352740740998, 0.807586217367385, 0.548539301056628,      0.702153634905252, 0.906244923447749, 0.99636081833896, 0.99636081833896,      1.09997831443452, 0.779182108791446, 0.556485595404089, 1.08363260419178,      0.569472877275307, 1.22529955141455, 0.223353489993969, 0.635175801858358,      1.36472832701396, 0.180150537957213, 0.754587815834464, 0.91518434198946     ), PROX_HAWKER = c(0.90031621758677, 0.973651338137405, 0.976719939584195,      0.687183343617196, 0.876276656944215, 1.03184370064912, 1.14030290242306,      1.14030290242306, 1.2578245237404, 1.05769292681279, 0.627642822312809,      1.26154745049637, 0.963287544217337, 1.40113048988486, 0.283538945902673,      0.80610763907972, 1.53740682378418, 0.155357947035291, 0.918952349521139,      1.66782294138278), PROX_MRT = c(0.513893198964272, 0.602819058882962,      0.343251427728879, 0.607087114668938, 0.279401054335897,      0.712767869041386, 0.667490524156887, 0.667490524156887,      0.602718547061467, 0.577154139562059, 0.561554903993597,      0.324849533681113, 0.551410176707671, 0.481797794839233,      0.694199692700576, 0.317839503016409, 0.586728597341744,      0.729338839878115, 0.361279603881815, 0.658832763416297),          PROX_PARK = c(0.842333894517479, 0.879464356596765, 0.656436399769765,          0.953457314885518, 0.620470631841848, 0.94305137750942,          0.758867978246924, 0.758867978246924, 0.569772965965399,          1.12092772213378, 1.16122098497616, 0.447685878226129,          0.974634241933185, 0.354623255285983, 1.19561442246869,          0.503650356541676, 0.212766960501703, 1.26762597166046,          0.436213246481288, 0.645156432286565), PROX_GOOD_PRISCH = c(1.72660166123773,          1.76550469910092, 1.85318585541752, 1.5016146113424,          1.774803188623, 1.76071721252525, 1.91909050044553, 1.91909050044553,          2.07907555576542, 1.6842887316892, 1.29435567579286,          2.16883728054707, 1.48818847749708, 2.29474127216967,          1.09898709469432, 1.74800143577954, 2.41235725048041,          0.992456269301591, 1.8549021101536, 2.39271928635374),          PROX_MALL = c(0.5620231960968, 0.655283448157635, 0.400117032043626,          0.635314033644823, 0.322264379768498, 0.808064657998832,          0.72813233212774, 0.72813233212774, 0.668924040978838,          0.813382909306435, 0.542723135774117, 0.386525633611572,          0.593340478429386, 0.542371475290289, 0.626909601034773,          0.260189306400009, 0.707673546664446, 0.649064194608972,          0.294446956047624, 1.14990641994387), PROX_CHAS = c(1.4078617678234e-08,          0.10733838099953, 0.191102980152323, 0.149554006756045,          0.241407331054591, 0.253073540027742, 0.255705601713763,          0.255705601713763, 0.191227179226131, 0.19044114280624,          0.144180959238343, 0.194419509978617, 0.203693673714882,          0.059226360432522, 0.221655673315632, 0.227429082883153,          0.13417187150752, 0.128297543182753, 0.29446060409402,          0.17469359838053), PROX_SUPERMARKET = c(0.0851968725918189,          0.176189281490626, 0.230446816430876, 0.14719471752053,          0.234452518543083, 0.263318229535236, 0.336474046543398,          0.336474046543398, 0.444314653432489, 0.190441743522314,          0.150188458093997, 0.386520309138909, 0.349948262987797,          0.542367678587035, 0.209750471448386, 0.260187243864149,          0.707669264145537, 0.159863951308791, 0.294460269353442,          0.357404112790227), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 3L, 3L, 2L, 1L, 2L, 2L, 1L, 3L, 2L, 1L, 2L, 0L, 2L,          1L, 0L, 4L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 1L,          2L, 2L, 4L, 3L, 2L, 2L, 3L, 4L, 3L, 5L, 2L, 6L, 5L, 3L,          5L, 5L, 2L, 3L), WITHIN_350M_BUS = c(6L, 4L, 5L, 5L,          4L, 6L, 6L, 6L, 5L, 8L, 7L, 12L, 8L, 10L, 4L, 7L, 7L,          3L, 8L, 7L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 5L, 4L,          4L, 4L, 4L, 5L, 5L, 5L, 4L, 6L, 4L, 5L, 3L, 4L, 5L, 2L,          4L), DNeighbour = c(0, 104.126003026134, 193.14205784972,          217.240654847507, 242.115323155764, 252.555089736115,          258.132695202603, 260.917919176833, 368.901521709628,          438.354091702976, 466.818181230708, 520.548652816792,          577.194481571666, 601.68242443917, 647.443026317753,          672.873714492852, 700.294855168541, 773.998252766151,          791.289488212602, 795.424046723175)), row.names = c("103",      "597", "789", "523", "493", "225", "753", "473", "618", "229",      "215", "131", "541", "565", "186", "758", "353", "518", "12",      "542"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.966020749743287,      0.885556587829433, 0.856382343476023, 0.823283365714223,      0.808537979189856, 0.800461957575255, 0.796378596152234,      0.616081187903392, 0.484825991547264, 0.429775019108281,      0.326866659251008, 0.224146531987045, 0.183024828171087,      0.113885862754095, 0.0808839579100396, 0.0505746296696232,      0.00282461084294283, 0.000107512874304785, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1005340478 
R squared (OOB):                  -0.05913624 

$Forests[[104]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(357000, 312000, 645000,      355000, 395000, 428000, 320000, 295000, 380000, 465000, 455000,      430000, 342000, 4e+05, 390000, 345000, 365000, 450000, 365000,      371000), floor_area_sqm = c(104, 104, 91, 94, 107, 98, 99,      99, 90, 106, 106, 91, 94, 91, 90, 92, 91, 93, 105, 91), storey_order = c(3L,      2L, 8L, 1L, 2L, 3L, 2L, 1L, 7L, 2L, 4L, 4L, 1L, 2L, 2L, 2L,      5L, 4L, 2L, 2L), remaining_lease_mths = c(844, 828, 1124,      1071, 755, 730, 736, 730, 985, 933, 933, 962, 747, 956, 947,      974, 965, 950, 771, 957), PROX_CBD = c(15.1925589930818,      15.1925589930818, 14.8760787686193, 15.3735649652411, 15.936744569076,      14.0949321583848, 13.0062996581569, 13.0062996581569, 13.0015179461712,      17.1401277939721, 17.1634204962367, 17.4594236905894, 13.7770670669378,      17.5146993337396, 17.5579663674298, 17.6174166659189, 17.6174166659189,      17.4336546583772, 14.8222691165004, 17.630719557776), PROX_ELDERLYCARE = c(0.485996598795361,      0.485996598795361, 0.68142631506584, 0.0572763643156628,      0.526555480516014, 1.07365166923746, 2.38777651439997, 2.38777651439997,      2.41293236098656, 0.586863575497558, 0.565792923614884, 1.1429422216578,      0.919307603677702, 1.21552371031002, 1.26304449634962, 1.58663462608392,      1.58663462608392, 0.825709875044437, 0.151522520392741, 1.35614304544574     ), PROX_HAWKER = c(0.787542750423298, 0.787542750423298,      0.74974565017819, 0.371848396937832, 0.44834457013621, 0.516176882783883,      0.353572407863602, 0.353572407863602, 0.351298271738361,      0.685044657792881, 0.666841975849823, 0.704564458032275,      0.478671478091809, 0.65109908849923, 0.610726758846462, 0.699652587196505,      0.699652587196505, 0.841716009165303, 0.189112683951821,      0.550798352023498), PROX_MRT = c(1.85503706760258, 1.85503706760258,      1.79130926962811, 0.753708157385654, 0.239432195714991, 0.499812381699912,      1.27898935828478, 1.27898935828478, 1.33144343213696, 0.418422993771755,      0.463116738810145, 0.304209523777939, 0.771349314593772,      0.367017506823782, 0.415424130147435, 0.430901962912929,      0.430901962912929, 0.463093751675267, 0.506610369321483,      0.481509556817778), PROX_PARK = c(1.41855585272788, 1.41855585272788,      1.13853863936216, 0.535685352466539, 0.747611444367071, 0.62523741493865,      1.09068530070835, 1.09068530070835, 1.07883678308045, 0.454841043819919,      0.505224516024672, 0.515475588097358, 0.941140572803456,      0.57589083993138, 0.622915525490857, 0.815337468455046, 0.815337468455046,      0.609424449579261, 1.20591145519053, 0.706852169587072),          PROX_GOOD_PRISCH = c(4.5504124031687, 4.5504124031687,          4.21930918110887, 4.72825571795328, 5.39194564581962,          3.57828936266804, 2.37986575446387, 2.37986575446387,          2.38441646582032, 6.48254224033906, 6.50789265243056,          6.79149624878531, 3.3146343023011, 6.84682201594428,          6.89020500321914, 6.95710824587607, 6.95710824587607,          6.77374769998522, 4.44405903659268, 6.96345421686322),          PROX_MALL = c(0.816582289717011, 0.816582289717011, 0.829646558484038,          0.408391974099547, 0.942416713928675, 0.812049880186,          1.26979124568258, 1.26979124568258, 1.32151107168067,          0.306862579253759, 0.353588302636786, 0.366883459562171,          0.672803550263317, 0.437698049352173, 0.488271313828636,          0.753687860987251, 0.753687860987251, 0.404491618549369,          1.74752862756084, 0.581015113036356), PROX_CHAS = c(0.0584110846116202,          0.0584110846116202, 0.426635940266524, 0.289984207596008,          0.145251548786172, 0.135156069731972, 0.178755496827681,          0.178755496827681, 0.185431787540406, 0.133156315003352,          0.171584438209325, 0.293637386768921, 0.0886717393158711,          0.354009255575758, 0.40162373925963, 0.430898255483663,          0.430898255483663, 0.260153188296123, 0.191193294854487,          0.481496129777697), PROX_SUPERMARKET = c(0.515584409426496,          0.515584409426496, 0.341487242626205, 0.406388098650168,          0.434198104817495, 0.352618767904154, 0.178755398427066,          0.178755398427066, 0.185431698278212, 0.27639551573194,          0.320581809168482, 0.217741105325511, 0.334979160094168,          0.288534867112482, 0.339170507836652, 0.467885028141574,          0.467885028141574, 0.355873580059747, 0.188017328828043,          0.432325009404537), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 2L, 2L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L,          2L, 2L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(4L, 4L,          6L, 4L, 2L, 1L, 4L, 4L, 4L, 3L, 4L, 6L, 3L, 6L, 6L, 4L,          4L, 4L, 2L, 6L), WITHIN_350M_BUS = c(11L, 11L, 10L, 12L,          7L, 9L, 7L, 7L, 10L, 7L, 8L, 8L, 10L, 10L, 9L, 6L, 6L,          12L, 6L, 8L), WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 1L, 4L,          2L, 0L, 0L, 0L, 4L, 4L, 4L, 2L, 4L, 4L, 3L, 3L, 6L, 2L,          4L), DNeighbour = c(0, 1.24384144840046, 380.095188563584,          1146.17997311173, 2091.30733074084, 2093.1430835545,          2186.49763995876, 2191.20726589381, 2192.73486191242,          2211.02014007827, 2244.11908953304, 2354.78737049419,          2385.00257190748, 2394.09131138567, 2426.84720992248,          2431.90016646704, 2435.14577144041, 2452.24883268782,          2476.95084799139, 2490.73495705587)), row.names = c("104",      "589", "312", "601", "423", "25", "412", "445", "45", "530",      "991", "937", "337", "93", "545", "14", "220", "535", "64",      "547"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999999501224677,      0.953966590748127, 0.621317169396418, 0.0870330735257231,      0.0863040233934914, 0.0526129721958572, 0.0510994226853725,      0.0506125470022567, 0.0449408092510133, 0.035427879641992,      0.0112749373701028, 0.00690536487850591, 0.00579074964738215,      0.00256465135288033, 0.00217948383387952, 0.00194822155035409,      0.000940322149491374, 0.000121830373893707, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10642501857 
R squared (OOB):                  -0.84167 

$Forests[[105]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(446000, 370000, 340000,      390000, 420000, 365000, 360000, 380000, 370000, 315000, 308000,      358888, 420000, 415000, 365000, 304000, 316000, 388000, 355000,      330000), floor_area_sqm = c(107, 104, 104, 104, 99, 107,      103, 102, 98, 84, 84, 91, 90, 100, 103, 104, 104, 103, 103,      103), storey_order = c(3L, 2L, 1L, 1L, 3L, 1L, 1L, 2L, 2L,      3L, 1L, 3L, 2L, 1L, 4L, 2L, 1L, 3L, 3L, 2L), remaining_lease_mths = c(783,      763, 772, 763, 929, 766, 777, 938, 767, 788, 795, 763, 925,      944, 768, 776, 777, 935, 793, 800), PROX_CBD = c(13.1163383572019,      13.075732494377, 13.1145091682395, 13.1145091682395, 13.2222340992065,      13.578535689825, 13.7231688188033, 12.4172252614445, 12.6407298816561,      13.0463978034086, 13.3304860768802, 13.6826822978472, 12.960867808991,      13.1525533734461, 12.6612960596841, 13.8730731524118, 13.8730731524118,      12.2384019056968, 13.46147060752, 13.46147060752), PROX_ELDERLYCARE = c(0.258125844069092,      0.206309775801723, 0.233566729538939, 0.233566729538939,      0.385934705647939, 0.535215785060316, 0.681177733621966,      0.466477120293287, 0.198383641986835, 0.612412426395362,      0.85382998667073, 0.000158780971194199, 0.579007844644764,      0.640770029240432, 0.349885373003571, 0.192118066579221,      0.192118066579221, 0.481492260541915, 1.01995663096129, 1.01995663096129     ), PROX_HAWKER = c(1.23349193679857, 1.2806114078583, 1.24018164124527,      1.24018164124527, 1.08380419022874, 0.775756145922257, 0.601426993813282,      1.89270186421095, 1.70233840124208, 1.36023111372333, 1.09459947163448,      0.699744847940348, 1.16344345150942, 0.959649545299011, 1.71720286170745,      0.635045114374877, 0.635045114374877, 2.08679181031876, 1.03983060555389,      1.03983060555389), PROX_MRT = c(0.166998983475289, 0.218393806785847,      0.402767024758649, 0.402767024758649, 0.503688459146237,      0.357978123578611, 0.498221170198522, 0.847625669994717,      0.712674611555213, 0.622051877914657, 0.525688124362732,      0.751023886560838, 0.899387073359532, 0.944408516927639,      0.798149237832703, 0.865482366580506, 0.865482366580506,      1.00400763232319, 0.367668143276235, 0.367668143276235),          PROX_PARK = c(1.28385310080255, 1.31516124688894, 1.4917670023494,          1.4917670023494, 1.61082819122054, 1.33984402369384,          1.26781451063295, 0.790049777369869, 0.87239282209614,          0.572775970192077, 0.620743454357064, 1.77145949687945,          1.44660566239193, 1.65277848527316, 0.722272593032778,          1.73324375775577, 1.73324375775577, 0.617440020241687,          0.582693033366388, 0.582693033366388), PROX_GOOD_PRISCH = c(3.10133739012884,          3.06740437701091, 3.15473759747012, 3.15473759747012,          3.2388029474634, 3.55013641033528, 3.673854441535, 2.44639044951476,          2.56532775368338, 2.96540091825049, 3.24954726475941,          3.58938982364218, 2.82458087567675, 2.95137840528657,          2.58047246486208, 3.76914808697313, 3.76914808697313,          2.2532718981807, 3.38131302543864, 3.38131302543864),          PROX_MALL = c(0.281310431650798, 0.332903613799786, 0.504156272689578,          0.504156272689578, 0.587950861513872, 0.305514521023982,          0.406890039239853, 0.95273084922996, 0.751522975449472,          0.587476612974174, 0.513372166694422, 0.770100764029299,          0.695129776671669, 0.703422933264244, 0.817237002784756,          0.861712986146148, 0.861712986146148, 1.10261213560447,          0.644549177151603, 0.644549177151603), PROX_CHAS = c(0.155371621529032,          0.122328851042638, 0.11048408202451, 0.11048408202451,          0.151225190585885, 0.282171570268124, 0.176857487498571,          0.132703338642494, 0.217156748290024, 0.40513819943783,          0.472814153962233, 0.110149755252424, 0.341366062526918,          0.1365287941905, 0.248450831201433, 0.0967538959757692,          0.0967538959757692, 0.187666753228527, 0.348399033159575,          0.348399033159575), PROX_SUPERMARKET = c(0.141466460051892,          0.193246634773484, 0.362446168440829, 0.362446168440829,          0.459946280432931, 0.281417393052806, 0.270532795629183,          0.453312253927337, 0.217156859083098, 0.599997973636583,          0.510727353781082, 0.11210687568128, 0.668273194253219,          0.688592108834651, 0.326739034058403, 0.094684564379848,          0.094684564379848, 0.388917381074845, 0.356146193343619,          0.356146193343619), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 1L, 0L, 0L, 2L, 2L, 1L, 2L, 0L, 0L, 2L,          2L, 2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          6L, 6L, 5L, 4L, 4L, 3L, 4L, 2L, 4L, 3L, 1L, 2L, 3L, 3L,          3L, 2L, 3L, 3L), WITHIN_350M_BUS = c(9L, 10L, 7L, 7L,          8L, 10L, 8L, 9L, 10L, 7L, 5L, 9L, 2L, 6L, 12L, 8L, 8L,          10L, 6L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 4L,          4L, 3L, 2L, 3L, 4L, 3L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 3L,          3L), DNeighbour = c(0, 55.7240550560927, 260.023285643094,          262.813031269255, 390.680252828364, 460.425239949174,          631.954467212673, 706.375547687508, 709.614513621958,          713.728753026646, 738.448309468514, 739.447430107965,          750.776091024901, 817.188653109943, 817.729727354688,          878.764701148051, 883.785719341087, 884.449920492449,          887.448901990104, 895.257110086929)), row.names = c("105",      "929", "844", "164", "350", "856", "960", "296", "477", "987",      "61", "1000", "831", "496", "552", "36", "230", "399", "332",      "526"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.992266470253493,      0.83839932916448, 0.835069986822183, 0.655395068734681, 0.540962926774843,      0.25172000781062, 0.142466858823866, 0.138179860220841, 0.132801290508861,      0.102163849874277, 0.100989516602728, 0.0880456002639741,      0.0278223446771948, 0.027455362480354, 0.0013325851966893,      0.000648356453917002, 0.000575879286429626, 0.000301627615823095,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2159800565 
R squared (OOB):                  -0.3493988 

$Forests[[106]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(303888, 298000, 330000,      350000, 303000, 297000, 325000, 3e+05, 255000, 245000, 370000,      359900, 355000, 272000, 270000, 250000, 316000, 375000, 318000,      305000), floor_area_sqm = c(93, 93, 103, 103, 92, 91, 91,      96, 91, 88, 93, 93, 93, 89, 97, 97, 92, 92, 91, 91), storey_order = c(2L,      1L, 2L, 4L, 1L, 3L, 4L, 4L, 4L, 2L, 5L, 3L, 3L, 2L, 2L, 4L,      3L, 4L, 1L, 4L), remaining_lease_mths = c(782, 777, 773,      768, 794, 788, 780, 791, 686, 668, 1106, 1117, 1111, 882,      687, 708, 781, 783, 765, 791), PROX_CBD = c(18.5252470382495,      18.5252470382495, 18.4499801912104, 18.3186881593276, 18.2139172788048,      18.1476771148045, 18.1476771148045, 18.5761736305699, 19.1428796063974,      18.8842060529579, 18.8127816342995, 18.8127816342995, 18.8127816342995,      17.8554664137964, 19.1998859465191, 19.2477081153014, 18.2234963781047,      18.1857629477019, 18.2234963781047, 18.2610111258248), PROX_ELDERLYCARE = c(0.449194476018676,      0.449194476018676, 0.504778052376495, 0.586525817031338,      0.649170232100017, 0.519546459890619, 0.519546459890619,      0.0638277150498875, 0.457204003422965, 0.229103995883471,      0.176499517448139, 0.176499517448139, 0.176499517448139,      0.800501761367975, 0.482976337773198, 0.533620939869422,      0.448333702611612, 0.47723779098819, 0.448333702611612, 0.421521882373529     ), PROX_HAWKER = c(0.69553534809229, 0.69553534809229, 0.652207052169444,      0.564283191409187, 0.488031980714328, 0.209390724873544,      0.209390724873544, 0.562029876499453, 0.491246203286744,      0.280513302960552, 0.325560722493799, 0.325560722493799,      0.325560722493799, 0.203123967436651, 0.407382567332432,      0.435575948420033, 0.416527045274471, 0.380157991945912,      0.416527045274471, 0.453171307776496), PROX_MRT = c(0.398456142880405,      0.398456142880405, 0.322534237265928, 0.220618943711049,      0.192826481399443, 0.491311596778589, 0.491311596778589,      0.874368880716004, 1.0490560030484, 1.03601464731326, 1.04083770509984,      1.04083770509984, 1.04083770509984, 0.555370291384357, 1.13705578024219,      1.17336842789895, 0.545975779093886, 0.548087095608087, 0.545975779093886,      0.547550551918807), PROX_PARK = c(0.491317901173298, 0.491317901173298,      0.536975621309476, 0.548488124002706, 0.532358306258428,      0.270911567278729, 0.270911567278729, 0.287868908027907,      0.602588748705797, 0.579556587207627, 0.51923222906617, 0.51923222906617,      0.51923222906617, 0.515057634059466, 0.708199402424467, 0.715290586226954,      0.264257474455249, 0.261695126667213, 0.264257474455249,      0.272660801967067), PROX_GOOD_PRISCH = c(9.63394268044443,      9.63394268044443, 9.56762880935522, 9.44179125712709, 9.33501569353139,      9.18618174729203, 9.18618174729203, 9.51590189269927, 10.1724586401982,      9.83133063879426, 9.7422556358987, 9.7422556358987, 9.7422556358987,      8.91472106998272, 10.205087741046, 10.2559210914134, 9.1355701416359,      9.10363750169146, 9.1355701416359, 9.16752282736586), PROX_MALL = c(0.705200807731176,      0.705200807731176, 0.662291407978718, 0.574856358668165,      0.498813518897969, 0.218975149940797, 0.218975149940797,      0.624506085881379, 1.19002137667581, 0.91348864249693, 0.856774663098642,      0.856774663098642, 0.856774663098642, 0.208298160410803,      1.23204265332191, 1.28177138580973, 0.411037179701155, 0.374195605351922,      0.411037179701155, 0.448092738738542), PROX_CHAS = c(0.240425442805127,      0.240425442805127, 0.201478871858691, 0.141159289664064,      0.0363398547195702, 0.218975205360203, 0.218975205360203,      0.0792988689034794, 0.472048134528426, 0.241229981070425,      0.2593611752042, 0.2593611752042, 0.2593611752042, 0.208298146952687,      0.377747950290313, 0.34509608786971, 0.132763801624598, 0.172021358032342,      0.132763801624598, 0.0964740211655948), PROX_SUPERMARKET = c(0.386130046709882,      0.386130046709882, 0.310351384739933, 0.210011389308567,      0.186956242757619, 0.206881250620068, 0.206881250620068,      0.625539331690589, 1.03656246660954, 0.911876453557648, 0.856773769273042,      0.856773769273042, 0.856773769273042, 0.19872598136169, 1.12464344461301,      1.16090501353567, 0.421116980529575, 0.38486207983901, 0.421116980529575,      0.457654559995222), WITHIN_350M_KINDERGARTEN = c(0L, 0L,      0L, 1L, 1L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 2L, 2L, 0L,      0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 4L, 5L,      3L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 5L, 2L, 2L, 2L, 2L, 2L, 2L     ), WITHIN_350M_BUS = c(8L, 8L, 9L, 10L, 9L, 7L, 7L, 10L,      6L, 13L, 16L, 16L, 16L, 10L, 10L, 9L, 6L, 4L, 6L, 6L), WITHIN_1KM_PRISCH = c(2L,      2L, 2L, 2L, 2L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 0L,      4L, 4L, 4L, 4L), DNeighbour = c(0, 4.33317364592951, 72.4447338839351,      200.689560398308, 304.75108221226, 484.707674484457, 488.770831805801,      634.050156221918, 656.333274211526, 677.372856037979, 708.845761689623,      709.069861065286, 709.174206779497, 721.295713530527, 741.599655619057,      776.577896159909, 833.783366281643, 834.20339881657, 834.648207132274,      841.548717871316)), row.names = c("106", "11", "810", "367",      "481", "827", "944", "78", "484", "96", "637", "604", "418",      "467", "193", "981", "202", "733", "47", "905"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999946975339151, 0.985233657866664, 0.889492267863486,      0.754919374301625, 0.446567929469154, 0.439134545224338,      0.186917412686331, 0.153459062626077, 0.123985888942731,      0.0843973035234463, 0.0841368133817829, 0.0840156326333158,      0.0704216699262161, 0.0499210412333519, 0.0220366041449519,      0.000337448116671894, 0.000302081293408779, 0.000266744516736667,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1364012333 
R squared (OOB):                  0.1088909 

$Forests[[107]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 320000, 345888,      312000, 306000, 320000, 395000, 4e+05, 373000, 398000, 410000,      420000, 435000, 425000, 410000, 418000, 345000, 460000, 350000,      455000), floor_area_sqm = c(107, 104, 104, 107, 109, 104,      107, 92, 92, 92, 92, 92, 92, 93, 93, 112, 95, 105, 106, 106     ), storey_order = c(3L, 2L, 4L, 1L, 1L, 2L, 2L, 1L, 1L, 2L,      3L, 5L, 4L, 4L, 4L, 5L, 3L, 4L, 2L, 4L), remaining_lease_mths = c(776,      779, 763, 779, 773, 772, 755, 1127, 1128, 1136, 1131, 1134,      1129, 1126, 1117, 904, 1003, 770, 781, 933), PROX_CBD = c(16.4773488158513,      16.6890813896757, 16.5598581376431, 16.6890813896757, 16.2343575305192,      16.0390890659677, 15.936744569076, 17.1731083577317, 17.1731083577317,      17.26435404508, 17.2397585888566, 17.2397585888566, 17.2397585888566,      17.3263676504413, 17.3263676504413, 17.2048826778539, 17.7047470513727,      15.1689870500438, 15.2518600651656, 17.1634204962367), PROX_ELDERLYCARE = c(0.393080972860029,      0.296144426041885, 0.633922933695123, 0.296144426041885,      0.63095091801206, 0.520751571920202, 0.526555480516014, 0.456899326246073,      0.456899326246073, 0.542806768712765, 0.500148198332671,      0.500148198332671, 0.500148198332671, 0.561119780492452,      0.561119780492452, 0.400468425457175, 0.933045885854195,      0.235447740717014, 0.341160576506438, 0.565792923614884),          PROX_HAWKER = c(0.170796598263111, 0.360513691606501,          0.402483389428837, 0.360513691606501, 0.355821892612055,          0.601123999453785, 0.44834457013621, 0.507233229895407,          0.507233229895407, 0.598096651463893, 0.55990768529081,          0.55990768529081, 0.55990768529081, 0.631285601786086,          0.631285601786086, 0.498365875295267, 1.00938993481846,          0.493984449855749, 0.711147803357143, 0.666841975849823         ), PROX_MRT = c(0.826410504821953, 0.937471590679814,          1.05011238745279, 0.937471590679814, 0.864165890870668,          0.965829261077996, 0.239432195714991, 1.18009183772516,          1.18009183772516, 1.20599959693509, 1.16124452414741,          1.16124452414741, 1.16124452414741, 1.13344401626098,          1.13344401626098, 0.87869292375624, 1.29287496569192,          0.840089990200814, 1.05589835680014, 0.463116738810145         ), PROX_PARK = c(1.2054653508424, 1.20981147430356, 1.45762221914422,          1.20981147430356, 1.34373269803231, 1.48305338833506,          0.747611444367071, 1.02763138312455, 1.02763138312455,          0.937816003807321, 0.959994438388966, 0.959994438388966,          0.959994438388966, 0.872985599051717, 0.872985599051717,          0.9054780070858, 0.495314460898113, 1.48925201971724,          1.72109509304533, 0.505224516024672), PROX_GOOD_PRISCH = c(5.97835326648125,          6.16175607197734, 6.10793998843997, 6.16175607197734,          5.7932792467937, 5.64743379607767, 5.39194564581962,          6.57664814247058, 6.57664814247058, 6.66937916554136,          6.64012383316355, 6.64012383316355, 6.64012383316355,          6.72174636420399, 6.72174636420399, 6.57740517739392,          7.10206992983331, 4.81784539373378, 4.96507368960908,          6.50789265243056), PROX_MALL = c(0.76724723438711, 0.571849863617429,          0.973625110866692, 0.571849863617429, 1.10378372306907,          1.36185056241102, 0.942416713928675, 0.392080122681935,          0.392080122681935, 0.484724019608978, 0.450738515511335,          0.450738515511335, 0.450738515511335, 0.530342726071102,          0.530342726071102, 0.446026044391999, 0.790613232916467,          1.93173107331603, 2.06076738363197, 0.353588302636786         ), PROX_CHAS = c(0.09463300161804, 0.332465298200207,          0.306725496117186, 0.332465298200207, 0.289709096170644,          0.205355834952608, 0.145251548786172, 0.214971829128206,          0.214971829128206, 0.270084445320348, 0.221318263528924,          0.221318263528924, 0.221318263528924, 0.254413742194056,          0.254413742194056, 0.130380344727655, 0.40646651865696,          0.22714457633909, 0.453299264887269, 0.171584438209325         ), PROX_SUPERMARKET = c(0.108262733037825, 0.204374831829505,          0.252218317780421, 0.204374831829505, 0.132128014198024,          0.352842931529878, 0.434198104817495, 0.391090025360665,          0.391090025360665, 0.483753219919624, 0.449846933875903,          0.449846933875903, 0.449846933875903, 0.529573977763673,          0.529573977763673, 0.445962312606475, 0.260900811674997,          0.459690883388295, 0.644027759940317, 0.320581809168482         ), WITHIN_350M_KINDERGARTEN = c(3L, 3L, 2L, 3L, 0L, 1L,          0L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 0L, 2L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 3L, 5L, 3L, 8L, 6L,          2L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 2L, 2L, 1L, 0L, 4L         ), WITHIN_350M_BUS = c(9L, 9L, 5L, 9L, 9L, 7L, 7L, 8L,          8L, 6L, 6L, 6L, 6L, 5L, 5L, 8L, 6L, 4L, 6L, 8L), WITHIN_1KM_PRISCH = c(3L,          4L, 2L, 4L, 2L, 2L, 4L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 2L, 1L, 4L), DNeighbour = c(0, 252.800026850468,          255.76965637149, 257.164446423236, 353.801336422735,          615.382479620399, 621.609743614511, 915.781303365024,          915.835559831574, 978.574111557301, 979.859432015501,          981.40115338034, 984.511883411067, 1075.87813068592,          1078.03468867725, 1154.80502508472, 1373.59672983995,          1383.71829862138, 1404.68286465567, 1464.50341818591)), row.names = c("107",      "328", "883", "497", "468", "751", "423", "507", "985", "847",      "86", "280", "290", "925", "797", "889", "631", "739", "109",      "991"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.941293739902623,      0.939927877628949, 0.939281193537003, 0.886680100277199,      0.678041947417784, 0.672140023861174, 0.370852479145862,      0.370796047927396, 0.306379091914587, 0.305081200490155,      0.30352579536584, 0.30039216077419, 0.211884141681321, 0.209895004090973,      0.143050582648846, 0.0144705669908071, 0.0115092963415723,      0.00640408057779109, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1258738731 
R squared (OOB):                  0.47971 

$Forests[[108]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(620000, 680000, 375000,      440000, 388000, 347000, 380000, 370000, 365000, 478000, 5e+05,      315000, 370000, 446000, 535000, 480000, 340000, 390000, 420000,      308000), floor_area_sqm = c(104, 104, 92, 103, 103, 103,      102, 98, 103, 92, 91, 84, 104, 107, 92, 92, 104, 104, 90,      84), storey_order = c(1L, 4L, 2L, 2L, 3L, 3L, 2L, 2L, 4L,      4L, 2L, 3L, 2L, 3L, 3L, 3L, 1L, 1L, 2L, 1L), remaining_lease_mths = c(802,      806, 938, 918, 935, 777, 938, 767, 768, 716, 706, 788, 763,      783, 694, 692, 772, 763, 925, 795), PROX_CBD = c(10.3151427398556,      10.251706958731, 12.0748651503812, 12.1964782349865, 12.2384019056968,      12.4516179583977, 12.4172252614445, 12.6407298816561, 12.6612960596841,      9.58813304663833, 10.2657373615824, 13.0463978034086, 13.075732494377,      13.1163383572019, 9.76973796844692, 9.76973796844692, 13.1145091682395,      13.1145091682395, 12.960867808991, 13.3304860768802), PROX_ELDERLYCARE = c(0.330781443478472,      0.2905717823942, 0.485644504612505, 0.395535007521183, 0.481492260541915,      0.517665393733001, 0.466477120293287, 0.198383641986835,      0.349885373003571, 0.251441869005946, 0.519949541574078,      0.612412426395362, 0.206309775801723, 0.258125844069092,      0.487200680071974, 0.487200680071974, 0.233566729538939,      0.233566729538939, 0.579007844644764, 0.85382998667073),          PROX_HAWKER = c(0.158411808335189, 0.185152730473859,          1.97379568283644, 2.11269605893479, 2.08679181031876,          1.97187302693261, 1.89270186421095, 1.70233840124208,          1.71720286170745, 0.391674386653945, 0.527790221924738,          1.36023111372333, 1.2806114078583, 1.23349193679857,          0.323134910569429, 0.323134910569429, 1.24018164124527,          1.24018164124527, 1.16344345150942, 1.09459947163448),          PROX_MRT = c(0.225881718556356, 0.329298986744561, 1.16171233055988,          1.03396693725809, 1.00400763232319, 1.07246547116041,          0.847625669994717, 0.712674611555213, 0.798149237832703,          0.707146681079003, 0.351828842975553, 0.622051877914657,          0.218393806785847, 0.166998983475289, 0.307725216106606,          0.307725216106606, 0.402767024758649, 0.402767024758649,          0.899387073359532, 0.525688124362732), PROX_PARK = c(0.503726079472253,          0.433052663426989, 0.570565135790359, 0.631382355736929,          0.617440020241687, 0.540079114132334, 0.790049777369869,          0.87239282209614, 0.722272593032778, 0.630094576064042,          0.752867192571236, 0.572775970192077, 1.31516124688894,          1.28385310080255, 0.692980820038259, 0.692980820038259,          1.4917670023494, 1.4917670023494, 1.44660566239193, 0.620743454357064         ), PROX_GOOD_PRISCH = c(0.238878321625081, 0.178279914989512,          2.03318600563725, 2.16851203086393, 2.2532718981807,          2.37408427308534, 2.44639044951476, 2.56532775368338,          2.58047246486208, 1.10432321767326, 0.402201611323318,          2.96540091825049, 3.06740437701091, 3.10133739012884,          0.945616550360875, 0.945616550360875, 3.15473759747012,          3.15473759747012, 2.82458087567675, 3.24954726475941),          PROX_MALL = c(0.307979604675516, 0.409325390211749, 1.24268779707958,          1.12036230953297, 1.10261213560447, 1.09246464633101,          0.95273084922996, 0.751522975449472, 0.817237002784756,          0.759347764163403, 0.347570072991699, 0.587476612974174,          0.332903613799786, 0.281310431650798, 0.3113714109904,          0.3113714109904, 0.504156272689578, 0.504156272689578,          0.695129776671669, 0.513372166694422), PROX_CHAS = c(0.132816387601245,          0.239000132427376, 0.0669716337617594, 0.194956542036987,          0.187666753228527, 0.137011223676854, 0.132703338642494,          0.217156748290024, 0.248450831201433, 0.395290416984683,          0.329846033180528, 0.40513819943783, 0.122328851042638,          0.155371621529032, 0.164045702260751, 0.164045702260751,          0.11048408202451, 0.11048408202451, 0.341366062526918,          0.472814153962233), PROX_SUPERMARKET = c(0.143795860421689,          0.258988936146552, 0.301394789473075, 0.242376621204914,          0.388917381074845, 0.417679622168911, 0.453312253927337,          0.217156859083098, 0.326739034058403, 0.20799335196523,          0.353445486406562, 0.599997973636583, 0.193246634773484,          0.141466460051892, 0.329801606095394, 0.329801606095394,          0.362446168440829, 0.362446168440829, 0.668273194253219,          0.510727353781082), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 0L, 2L, 2L, 0L, 1L, 2L, 0L, 0L, 1L,          1L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 2L,          2L, 4L, 2L, 3L, 3L, 4L, 3L, 2L, 4L, 2L, 4L, 4L, 3L, 3L,          6L, 6L, 1L, 4L), WITHIN_350M_BUS = c(8L, 6L, 9L, 9L,          10L, 9L, 9L, 10L, 12L, 7L, 10L, 7L, 10L, 9L, 11L, 11L,          7L, 7L, 2L, 5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L,          2L, 3L, 2L, 3L, 3L, 2L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L), DNeighbour = c(0, 123.927123063373, 1813.05453344447,          1951.32545235516, 2043.57774943827, 2135.04109294186,          2245.8248587308, 2332.98039444967, 2340.4150148463, 2430.26443065437,          2634.04747346151, 2726.60774737473, 2848.47063804344,          2885.74118320694, 2907.98549228357, 2910.88025922509,          2943.82110207657, 2949.37750875175, 2961.98185754813,          3012.33511834815)), row.names = c("108", "775", "721",      "677", "399", "851", "296", "477", "552", "640", "649", "987",      "929", "105", "68", "926", "844", "164", "831", "61"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99661788409928, 0.406717859570438, 0.336844679716097, 0.291350696092326,      0.247656097995817, 0.197283332366952, 0.160149928669348,      0.157099959315585, 0.12188523015039, 0.0554079112866633,      0.0326553507604324, 0.0112013705955308, 0.00677069785307504,      0.00463509998761123, 0.00438578778656423, 0.00202245037207951,      0.00171090303394656, 0.00109905286429762, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9115921071 
R squared (OOB):                  0.05383063 

$Forests[[109]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 460000, 420000,      365000, 320000, 306000, 395000, 345888, 316000, 304000, 345000,      330000, 335000, 428000, 358888, 320000, 312000, 342000, 355000,      360000), floor_area_sqm = c(106, 105, 104, 105, 104, 109,      107, 104, 104, 104, 92, 107, 90, 98, 91, 104, 107, 94, 94,      103), storey_order = c(2L, 4L, 4L, 2L, 2L, 1L, 2L, 4L, 1L,      2L, 2L, 3L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 1L), remaining_lease_mths = c(781,      770, 774, 771, 772, 773, 755, 763, 777, 776, 742, 776, 731,      730, 763, 779, 779, 747, 1071, 777), PROX_CBD = c(15.2518600651656,      15.1689870500438, 15.0460728336845, 14.8222691165004, 16.0390890659677,      16.2343575305192, 15.936744569076, 16.5598581376431, 13.8730731524118,      13.8730731524118, 13.8901285505698, 16.4773488158513, 13.8901285505698,      14.0949321583848, 13.6826822978472, 16.6890813896757, 16.6890813896757,      13.7770670669378, 15.3735649652411, 13.7231688188033), PROX_ELDERLYCARE = c(0.341160576506438,      0.235447740717014, 0.0734543941007858, 0.151522520392741,      0.520751571920202, 0.63095091801206, 0.526555480516014, 0.633922933695123,      0.192118066579221, 0.192118066579221, 0.540311266279695,      0.393080972860029, 0.540311266279695, 1.07365166923746, 0.000158780971194199,      0.296144426041885, 0.296144426041885, 0.919307603677702,      0.0572763643156628, 0.681177733621966), PROX_HAWKER = c(0.711147803357143,      0.493984449855749, 0.321243604465073, 0.189112683951821,      0.601123999453785, 0.355821892612055, 0.44834457013621, 0.402483389428837,      0.635045114374877, 0.635045114374877, 0.213123049695643,      0.170796598263111, 0.213123049695643, 0.516176882783883,      0.699744847940348, 0.360513691606501, 0.360513691606501,      0.478671478091809, 0.371848396937832, 0.601426993813282),          PROX_MRT = c(1.05589835680014, 0.840089990200814, 0.667161579318597,          0.506610369321483, 0.965829261077996, 0.864165890870668,          0.239432195714991, 1.05011238745279, 0.865482366580506,          0.865482366580506, 0.793013171832836, 0.826410504821953,          0.793013171832836, 0.499812381699912, 0.751023886560838,          0.937471590679814, 0.937471590679814, 0.771349314593772,          0.753708157385654, 0.498221170198522), PROX_PARK = c(1.72109509304533,          1.48925201971724, 1.32178658469093, 1.20591145519053,          1.48305338833506, 1.34373269803231, 0.747611444367071,          1.45762221914422, 1.73324375775577, 1.73324375775577,          1.23128896715218, 1.2054653508424, 1.23128896715218,          0.62523741493865, 1.77145949687945, 1.20981147430356,          1.20981147430356, 0.941140572803456, 0.535685352466539,          1.26781451063295), PROX_GOOD_PRISCH = c(4.96507368960908,          4.81784539373378, 4.66454637236311, 4.44405903659268,          5.64743379607767, 5.7932792467937, 5.39194564581962,          6.10793998843997, 3.76914808697313, 3.76914808697313,          3.56420611596829, 5.97835326648125, 3.56420611596829,          3.57828936266804, 3.58938982364218, 6.16175607197734,          6.16175607197734, 3.3146343023011, 4.72825571795328,          3.673854441535), PROX_MALL = c(2.06076738363197, 1.93173107331603,          1.83033637772351, 1.74752862756084, 1.36185056241102,          1.10378372306907, 0.942416713928675, 0.973625110866692,          0.861712986146148, 0.861712986146148, 1.05377974643614,          0.76724723438711, 1.05377974643614, 0.812049880186, 0.770100764029299,          0.571849863617429, 0.571849863617429, 0.672803550263317,          0.408391974099547, 0.406890039239853), PROX_CHAS = c(0.453299264887269,          0.22714457633909, 0.0544168696099871, 0.191193294854487,          0.205355834952608, 0.289709096170644, 0.145251548786172,          0.306725496117186, 0.0967538959757692, 0.0967538959757692,          0.0812638133573676, 0.09463300161804, 0.0812638133573676,          0.135156069731972, 0.110149755252424, 0.332465298200207,          0.332465298200207, 0.0886717393158711, 0.289984207596008,          0.176857487498571), PROX_SUPERMARKET = c(0.644027759940317,          0.459690883388295, 0.286721618184596, 0.188017328828043,          0.352842931529878, 0.132128014198024, 0.434198104817495,          0.252218317780421, 0.094684564379848, 0.094684564379848,          0.082811926566736, 0.108262733037825, 0.082811926566736,          0.352618767904154, 0.11210687568128, 0.204374831829505,          0.204374831829505, 0.334979160094168, 0.406388098650168,          0.270532795629183), WITHIN_350M_KINDERGARTEN = c(0L,          2L, 1L, 1L, 1L, 0L, 0L, 2L, 2L, 2L, 1L, 3L, 1L, 0L, 2L,          3L, 3L, 1L, 2L, 0L), WITHIN_350M_CHILDCARE = c(0L, 1L,          1L, 2L, 6L, 8L, 2L, 5L, 3L, 3L, 4L, 6L, 4L, 1L, 3L, 3L,          3L, 3L, 4L, 4L), WITHIN_350M_BUS = c(6L, 4L, 5L, 6L,          7L, 9L, 7L, 5L, 8L, 8L, 4L, 9L, 4L, 9L, 9L, 9L, 9L, 10L,          12L, 8L), WITHIN_1KM_PRISCH = c(1L, 2L, 1L, 2L, 2L, 2L,          4L, 2L, 2L, 2L, 4L, 3L, 4L, 2L, 2L, 4L, 4L, 2L, 1L, 3L         ), DNeighbour = c(0, 235.850893652371, 394.91299930577,          561.766961790668, 830.700216493025, 1070.93397338577,          1183.59659100529, 1386.16981133796, 1386.47717650969,          1390.94886888119, 1404.05926229687, 1404.68286465567,          1405.14137556191, 1495.10564962143, 1575.18712819584,          1656.02553100007, 1660.59412267646, 1670.78180888143,          1738.37911306664, 1767.76231120605)), row.names = c("109",      "739", "256", "64", "751", "468", "423", "883", "230", "36",      "214", "107", "90", "25", "1000", "328", "497", "337", "601",      "960"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.964716251523209,      0.902678094395012, 0.808224718433735, 0.607119490867344,      0.400676604080702, 0.304383218909932, 0.148323123698706,      0.148113141668592, 0.145069838575155, 0.136274908454342,      0.135861404186014, 0.135557654257879, 0.0810467758647252,      0.0424389639319117, 0.0149868553011666, 0.0138231885881381,      0.0113873476321719, 0.00108682971827645, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1599211081 
R squared (OOB):                  0.119051 

$Forests[[110]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(433000, 420000, 348000,      380000, 490000, 450000, 475000, 372500, 452000, 376000, 505000,      5e+05, 495000, 510000, 505000, 540000, 540000, 475000, 580000,      565000), floor_area_sqm = c(92, 93, 100, 92, 92, 95, 90,      102, 95, 102, 90, 92, 93, 93, 92, 90, 93, 93, 92, 92), storey_order = c(4L,      2L, 3L, 1L, 3L, 2L, 5L, 2L, 4L, 5L, 6L, 3L, 3L, 3L, 4L, 3L,      4L, 4L, 4L, 3L), remaining_lease_mths = c(1084, 1099, 938,      1037, 1038, 1109, 1031, 931, 1112, 944, 1033, 1049, 1076,      1076, 1051, 1067, 1075, 1130, 1134, 1127), PROX_CBD = c(11.8702915361943,      11.8999896789117, 11.8646943012694, 11.6419253241709, 11.6213283462416,      12.0901026943072, 11.780035597066, 11.9627383543319, 12.1424265739316,      11.9885535057438, 11.6571985599938, 11.4975151935682, 11.7824349405223,      11.734228152501, 11.4388659085475, 11.5237533038112, 11.8019303594103,      11.4536743231806, 11.7494815193957, 11.6525204845234), PROX_ELDERLYCARE = c(0.670900780040593,      0.790393757138983, 0.893707553155367, 0.626216066088841,      0.621923465733728, 0.911165280518988, 0.389019901488026,      0.96089261866182, 0.88680281476439, 0.468647269590137, 0.400746835300904,      0.485429735975203, 0.213047345375207, 0.217445500321488,      0.529438756707198, 0.374021376468387, 0.184707688528033,      1.19895989384568, 0.0736890817471424, 0.090696724945174),          PROX_HAWKER = c(0.715369360111721, 0.820501997631561,          0.888626336009462, 0.553081930127745, 0.537052085835962,          0.995330006841388, 0.475091880549249, 0.983415578941634,          0.999275592501037, 0.661637750611862, 0.38372613736418,          0.320302217757218, 0.411134055372247, 0.366555491930585,          0.319632581294072, 0.235307086042243, 0.425288384889406,          1.02903329925728, 0.418792449609449, 0.325622570567264         ), PROX_MRT = c(0.146531371307633, 0.261250382411254,          0.214047355776769, 0.168432978085695, 0.182944945438028,          0.231980634651484, 0.149757666469573, 0.122900516984256,          0.303530488733859, 0.253577460439113, 0.187661086924798,          0.24936700359253, 0.323171872402698, 0.276453864170284,          0.264110896255266, 0.148196296616071, 0.341923672362566,          0.573574303209013, 0.183595482094196, 0.219824289848129         ), PROX_PARK = c(0.8322137924942, 0.813614799778521,          0.747986195716587, 0.654970873229416, 0.643411448820926,          0.750469455971567, 0.915827670442916, 0.836149627657164,          0.699596772952975, 0.965214735166117, 0.822874314333037,          0.698336840868775, 1.04913519120928, 1.00928973198994,          0.653351036954048, 0.808531626238996, 1.09015045463689,          0.341254943367627, 1.25382465781663, 1.18955170998222         ), PROX_GOOD_PRISCH = c(2.91053685401804, 3.00567179865442,          3.05097986431403, 2.71543842399088, 2.69528593883292,          3.19167768034691, 2.67648686403773, 3.15511978010431,          3.20088339163048, 2.84793008582659, 2.58492752090912,          2.48345794754568, 2.5757070458522, 2.54247396470066,          2.45055199705462, 2.43173748992112, 2.57167610218627,          2.96812409551872, 2.40225451049103, 2.3279627535371),          PROX_MALL = c(0.385092319171944, 0.283076960540796, 0.265637621954407,          0.576398809288588, 0.597386337892971, 0.1200910408013,          0.657761426948524, 0.161680393170103, 0.171446483339376,          0.581599658792334, 0.718523422751835, 0.805279144871904,          0.732391369928616, 0.781937846313192, 0.840491697823826,          0.840908486660855, 0.70263709534569, 0.714729745574342,          0.730910693989521, 0.807719243520252), PROX_CHAS = c(0.179381733260264,          0.283076936045466, 0.265637621677666, 0.118628580179885,          0.130352204164602, 0.120090990225825, 0.165734916528407,          0.161680400961643, 0.171446425970546, 0.0548782345589675,          0.162236141473446, 0.18789773503711, 0.182294192745256,          0.203102352137365, 0.210772889992189, 0.0822817354855642,          0.144895120017984, 0.31407050179696, 0.105514964386053,          0.162428164506486), PROX_SUPERMARKET = c(0.31749021679057,          0.236972988988714, 0.211091622880127, 0.0879874709963817,          0.0679201472407272, 0.109512866312649, 0.328761363845442,          0.107037284539066, 0.178201527122821, 0.41771106664497,          0.248678179468178, 0.186124684843571, 0.186528474083994,          0.206717744357565, 0.189609627596398, 0.113409172087645,          0.149354766345577, 0.345653574215055, 0.100761764224213,          0.158766807317564), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(9L, 7L,          7L, 6L, 6L, 8L, 9L, 8L, 7L, 6L, 8L, 4L, 8L, 8L, 4L, 4L,          7L, 2L, 5L, 4L), WITHIN_350M_BUS = c(10L, 9L, 8L, 8L,          8L, 8L, 8L, 9L, 9L, 14L, 9L, 8L, 11L, 10L, 7L, 5L, 13L,          8L, 14L, 11L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L,          6L, 4L, 6L, 4L, 5L, 7L, 5L, 4L, 7L, 5L, 5L, 4L, 6L, 4L,          6L, 6L), DNeighbour = c(0, 118.204047427775, 233.362176126907,          233.815813021626, 254.637401789897, 275.951772316306,          287.681428206973, 292.324841814071, 293.028289848346,          295.382723352074, 333.590772353044, 442.38594831556,          457.903813592316, 463.062659016502, 480.887088260784,          483.159505947872, 491.738377873024, 677.182728098213,          735.340052223352, 739.531114947307)), row.names = c("110",      "185", "232", "421", "89", "117", "263", "295", "147", "486",      "977", "553", "260", "409", "271", "652", "342", "132", "281",      "557"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.949557286704083,      0.810766124294417, 0.810068434819566, 0.776939700123335,      0.740913595856857, 0.720249215802735, 0.711914962064176,      0.710645010050683, 0.706380612577189, 0.634449016809986,      0.412368555340323, 0.380213512110712, 0.369575583723574,      0.333116737722847, 0.328508956724954, 0.311212891868633,      0.0260848842018132, 0.00012774111055538, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1986373743 
R squared (OOB):                  0.5445342 

$Forests[[111]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(388000, 382000, 426888,      376000, 403500, 430000, 475000, 390000, 440000, 452000, 460000,      540000, 450000, 395000, 495000, 380000, 390000, 475000, 432000,      433000), floor_area_sqm = c(90, 86, 92, 102, 90, 92, 92,      90, 92, 95, 92, 93, 95, 90, 93, 90, 100, 90, 93, 92), storey_order = c(1L,      2L, 1L, 5L, 5L, 1L, 2L, 5L, 2L, 4L, 5L, 4L, 2L, 1L, 3L, 4L,      6L, 5L, 5L, 4L), remaining_lease_mths = c(956, 989, 1141,      944, 965, 1134, 1126, 978, 1136, 1112, 1136, 1075, 1109,      997, 1076, 973, 942, 1031, 1129, 1084), PROX_CBD = c(12.6254404323309,      12.3082954752684, 12.5841594105866, 11.9885535057438, 12.0682850666201,      12.5852639843962, 12.6532888174316, 12.4059518996545, 12.6445046545469,      12.1424265739316, 12.5778468618744, 11.8019303594103, 12.0901026943072,      13.4480864429089, 11.7824349405223, 11.9491294576901, 12.9172885276263,      11.780035597066, 13.4495242740615, 11.8702915361943), PROX_ELDERLYCARE = c(0.92626814118798,      0.583230122785789, 0.419823195233641, 0.468647269590137,      0.36227142211874, 0.3637938018331, 0.373604611296459, 0.404564014080405,      0.316798451576888, 0.88680281476439, 0.25879478544564, 0.184707688528033,      0.911165280518988, 0.38095926022983, 0.213047345375207, 0.351349913726565,      0.440978457512705, 0.389019901488026, 0.226392675254826,      0.670900780040593), PROX_HAWKER = c(1.13552097839855, 0.732610931237137,      0.512822421809829, 0.661637750611862, 0.732401821736703,      0.45815519033126, 0.440383933038266, 0.551023632791116, 0.385855619963418,      0.999275592501037, 0.361759384229333, 0.425288384889406,      0.995330006841388, 1.11021170000921, 0.411134055372247, 0.693645859237657,      1.76689210194785, 0.475091880549249, 1.13086059974118, 0.715369360111721     ), PROX_MRT = c(0.252582104498609, 0.348338435446781, 0.285300897266269,      0.253577460439113, 0.353072027979069, 0.305105021876954,      0.24828698655044, 0.467412150427879, 0.290856617513635, 0.303530488733859,      0.325317058740364, 0.341923672362566, 0.231980634651484,      0.436627689790507, 0.323171872402698, 0.207404211118571,      0.0642144868642362, 0.149757666469573, 0.537207200764636,      0.146531371307633), PROX_PARK = c(0.682542858399859, 1.248380402738,      1.05356492524152, 0.965214735166117, 1.2554933111164, 0.998305920751222,      0.981635622560504, 1.06942514246801, 0.927332929158558, 0.699596772952975,      0.898636927133822, 1.09015045463689, 0.750469455971567, 0.782217598170287,      1.04913519120928, 1.42337349535551, 0.18581491955197, 0.915827670442916,      1.14705623529365, 0.8322137924942), PROX_GOOD_PRISCH = c(3.31643945338342,      2.82059786507503, 3.04090040576321, 2.84793008582659, 2.66094910730305,      3.02473222579279, 3.08870420529617, 2.85954585658161, 3.06407026512831,      3.20088339163048, 2.98751376551561, 2.57167610218627, 3.19167768034691,      4.1394886986689, 2.5757070458522, 2.48771655129493, 3.96344124390297,      2.67648686403773, 3.97306691053722, 2.91053685401804), PROX_MALL = c(0.289170330853986,      0.312386349772529, 0.39575302739997, 0.581599658792334, 0.424043071559413,      0.450387082903272, 0.475487624694748, 0.423524868376446,      0.525247230278188, 0.171446483339376, 0.550769417999913,      0.70263709534569, 0.1200910408013, 0.747053206605742, 0.732391369928616,      0.591401580344059, 0.125441786165087, 0.657761426948524,      0.817008429043632, 0.385092319171944), PROX_CHAS = c(0.248410865511824,      0.200650927390068, 0.369996201265779, 0.0548782345589675,      0.0850792531740411, 0.324614821605945, 0.362882313204726,      0.187639553192951, 0.312339613016365, 0.171446425970546,      0.236995708134403, 0.144895120017984, 0.120090990225825,      0.419877338676521, 0.182294192745256, 0.136369833447508,      0.146232137849481, 0.165734916528407, 0.142936854782623,      0.179381733260264), PROX_SUPERMARKET = c(0.298638993269614,      0.200651971059786, 0.385003628727568, 0.41771106664497, 0.0850782630125017,      0.389269910824952, 0.36465940083402, 0.375814638453933, 0.312339147167174,      0.178201527122821, 0.299832635957983, 0.149354766345577,      0.109512866312649, 0.428569074432488, 0.186528474083994,      0.234851160706955, 0.125440795942109, 0.328761363845442,      0.417643104955167, 0.31749021679057), WITHIN_350M_KINDERGARTEN = c(0L,      0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L,      2L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(8L, 4L, 4L, 6L,      5L, 4L, 5L, 4L, 5L, 7L, 5L, 7L, 8L, 5L, 8L, 6L, 9L, 9L, 3L,      9L), WITHIN_350M_BUS = c(12L, 8L, 10L, 14L, 12L, 11L, 11L,      10L, 11L, 9L, 8L, 13L, 8L, 4L, 11L, 12L, 9L, 8L, 5L, 10L),          WITHIN_1KM_PRISCH = c(6L, 6L, 5L, 7L, 7L, 4L, 4L, 5L,          4L, 5L, 4L, 6L, 4L, 7L, 7L, 7L, 7L, 6L, 4L, 5L), DNeighbour = c(0,          604.773745586552, 639.074851596282, 657.747095961964,          662.444782753227, 693.371473992053, 696.719921870879,          707.709669088623, 756.345550151115, 762.65100604679,          799.301463058366, 827.978255229286, 835.010527129024,          838.625972338142, 844.240075001808, 845.241261585906,          864.435543487341, 868.435424732121, 878.241853304436,          878.624353332865)), row.names = c("111", "231", "868",      "486", "860", "180", "759", "138", "144", "147", "355", "342",      "117", "655", "260", "175", "887", "263", "988", "110"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.276904432448735, 0.221793600039591, 0.193233095584839,      0.186234697656386, 0.142304870618896, 0.137792179608075,      0.123348844290996, 0.0670670087984667, 0.060794786343842,      0.0297255313011866, 0.0125355630994011, 0.00937285756956504,      0.00791660714139322, 0.00588855979136119, 0.00555708422955829,      0.00102636920306794, 0.000531691382614879, 7.57752495506991e-07,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1465727364 
R squared (OOB):                  0.2449615 

$Forests[[112]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(333000, 420000, 410000,      432000, 335000, 415000, 388000, 365000, 305000, 360000, 371000,      323000, 375000, 349000, 313000, 305000, 325000, 319000, 315000,      310000), floor_area_sqm = c(99, 92, 92, 92, 100, 92, 92,      92, 99, 99, 100, 101, 102, 103, 99, 99, 91, 101, 102, 89),          storey_order = c(3L, 1L, 2L, 4L, 4L, 2L, 1L, 1L, 4L,          3L, 2L, 1L, 3L, 2L, 4L, 1L, 2L, 4L, 2L, 1L), remaining_lease_mths = c(927,          1121, 1136, 1123, 927, 1125, 1134, 1135, 930, 915, 918,          937, 932, 832, 918, 921, 970, 950, 913, 946), PROX_CBD = c(17.6933534103443,          17.7152334804069, 17.7152334804069, 17.7152334804069,          17.5934100264964, 17.7609329148819, 17.8160591469996,          17.8160591469996, 17.5508688704121, 17.6482187406162,          17.9318121245061, 17.4093430047218, 17.424297644009,          18.0642207733449, 17.8728040148932, 17.9733391318796,          17.7083177660008, 17.1356331652512, 17.9994058772431,          17.0860498579873), PROX_ELDERLYCARE = c(0.174626049595048,          0.0982899037000713, 0.0982899037000713, 0.0982899037000713,          0.183364759720919, 0.0656405943898966, 0.101440000613482,          0.101440000613482, 0.169110695114153, 0.399377154365588,          0.559180828327224, 0.347622879353981, 0.332680427012888,          0.558648465009425, 0.330981516384048, 0.376016337241346,          0.378187975507624, 0.585213362825854, 0.430537495183344,          0.634635376150565), PROX_HAWKER = c(0.89059259132002,          0.815736811633103, 0.815736811633103, 0.815736811633103,          0.860123145519879, 0.769612072642938, 0.755409785256781,          0.755409785256781, 0.736171211400498, 1.11261554439583,          1.18812307179958, 0.646263997619536, 1.2762396177499,          1.20831273824173, 0.446535534086157, 0.501520555884575,          0.340346390827249, 0.905166107754752, 0.472244893923117,          0.984075399620173), PROX_MRT = c(0.606842528225389, 0.674833365376197,          0.674833365376197, 0.674833365376197, 0.675234243169572,          0.714624513867521, 0.729659889526201, 0.729659889526201,          0.804998329325227, 0.417091391951799, 0.256828620430729,          0.722831181419355, 0.484502150769697, 0.387700307898407,          0.4868918768976, 0.52882455357406, 0.403335562748004,          0.689848925621533, 0.492638498779759, 0.610921595420819         ), PROX_PARK = c(1.49905344652453, 1.52614967260321,          1.52614967260321, 1.52614967260321, 1.60355051242194,          1.52091098886828, 1.49250729308795, 1.49250729308795,          1.71737354643835, 1.38656874841243, 1.11695175135574,          1.92330050908574, 1.39102562335911, 1.04306097562022,          1.69875568186822, 1.62685700377268, 1.86766019581863,          2.00545012030434, 1.65421298847909, 1.98249707589613),          PROX_GOOD_PRISCH = c(8.34857469941546, 8.35538963357137,          8.35538963357137, 8.35538963357137, 8.24279341902993,          8.39120163011403, 8.44175881664207, 8.44175881664207,          8.17476856172454, 8.34983568407236, 8.65275846320069,          8.00696366683488, 8.1609833985331, 8.76549326341746,          8.43952013253886, 8.54142359534323, 8.26299778187914,          7.76178719780886, 8.5589292690065, 7.72567604662297),          PROX_MALL = c(0.223321337745784, 0.158599011552442, 0.158599011552442,          0.158599011552442, 0.188384425612312, 0.147411017927622,          0.183177100903513, 0.183177100903513, 0.109574351562212,          0.439097430243665, 0.417130987397582, 0.265229996889848,          0.394560370801339, 0.424594513900518, 0.330972758922268,          0.395841490391381, 0.335143296665789, 0.382407895591973,          0.446560923090423, 0.314944256820634), PROX_CHAS = c(0.21485891447712,          0.158598978424062, 0.158598978424062, 0.158598978424062,          0.151781240761386, 0.14741100268466, 0.183177099178452,          0.183177099178452, 0.048268048492383, 0.414359256629807,          0.259891808560044, 0.23105278557526, 0.265229996652697,          0.124680964632411, 0.330972805611547, 0.364030465322827,          0.30242004444134, 0.257714074421561, 0.324811070171065,          0.250499161266826), PROX_SUPERMARKET = c(0.218378438252518,          0.144345834884574, 0.144345834884574, 0.144345834884574,          0.209139790637019, 0.113022549454425, 0.137568853383185,          0.137568853383185, 0.15801430638391, 0.441697647833666,          0.438907970807184, 0.313773352526138, 0.265230176390619,          0.424593495373258, 0.300218301814749, 0.356071330024396,          0.332189289926598, 0.257714572429151, 0.408691343873882,          0.250499698074938), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(5L, 6L,          6L, 6L, 6L, 8L, 8L, 8L, 7L, 3L, 3L, 7L, 2L, 2L, 4L, 3L,          6L, 5L, 4L, 6L), WITHIN_350M_BUS = c(13L, 12L, 12L, 12L,          12L, 10L, 15L, 15L, 12L, 9L, 9L, 13L, 9L, 7L, 8L, 11L,          7L, 11L, 9L, 11L), WITHIN_1KM_PRISCH = c(8L, 7L, 7L,          7L, 8L, 6L, 6L, 6L, 6L, 7L, 7L, 5L, 5L, 6L, 7L, 7L, 5L,          4L, 7L, 4L), DNeighbour = c(0, 71.8253295472795, 78.067063202054,          81.5486853470579, 99.80207566103, 142.071193734144, 185.19101503512,          187.819006745023, 217.786485579678, 223.020928525951,          423.971403001751, 433.303268591623, 442.293629295173,          459.878179109258, 500.455478444817, 536.955085459522,          553.09386266986, 587.506007018026, 590.357720627829,          618.224868353104)), row.names = c("112", "289", "13",      "298", "419", "365", "53", "402", "438", "891", "976", "174",      "736", "773", "992", "179", "544", "99", "177", "685"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.973186632041998, 0.968362926526739, 0.965503410470523,      0.948557744991405, 0.897168216512559, 0.828588006750969,      0.823925294687793, 0.767202246409909, 0.756662938469604,      0.280576114854749, 0.258839884236137, 0.238306855206305,      0.199504473895298, 0.118820392928542, 0.0603353176895655,      0.0398418835595866, 0.00939128690023848, 0.00776518529636551,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       730644812 
R squared (OOB):                  0.5809359 

$Forests[[113]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 415000, 350000,      423000, 415000, 385000, 420000, 418000, 425000, 395000, 365000,      411000, 440000, 355000, 399000, 422500, 385000, 625000, 410000,      4e+05), floor_area_sqm = c(109, 108, 84, 104, 108, 102, 103,      84, 104, 103, 103, 104, 104, 84, 102, 104, 84, 94, 84, 107     ), storey_order = c(1L, 3L, 2L, 2L, 2L, 3L, 2L, 3L, 4L, 4L,      1L, 1L, 3L, 3L, 3L, 3L, 2L, 3L, 4L, 1L), remaining_lease_mths = c(908,      904, 806, 827, 891, 755, 757, 821, 775, 772, 757, 806, 752,      804, 766, 765, 815, 1085, 814, 912), PROX_CBD = c(13.9032473641583,      13.7944980809676, 13.3385512116162, 13.4971436153267, 13.8459786715751,      13.2614515751509, 13.2614515751509, 13.3325431063631, 13.5598735525989,      13.1724132817366, 13.0970803497533, 13.1755942624772, 13.1913836000948,      13.01786092695, 13.0078000734933, 13.4875816574924, 13.8115996810708,      13.3230141016287, 12.8927390133383, 13.6047453762483), PROX_ELDERLYCARE = c(1.01451296282065,      0.91518434198946, 1.09997831443452, 1.36472832701396, 0.429452782693922,      0.99636081833896, 0.99636081833896, 1.22529955141455, 0.555470204987842,      0.906244923447749, 0.830352740740998, 1.08363260419178, 0.779182108791446,      0.807586217367385, 0.748101088186933, 0.428841001075194,      0.244605555667631, 1.40693910044933, 0.702153634905252, 0.271914041498034     ), PROX_HAWKER = c(1.79397933605035, 1.66782294138278, 1.2578245237404,      1.53740682378418, 1.71981564227335, 1.14030290242306, 1.14030290242306,      1.40113048988486, 1.44869421276883, 1.03184370064912, 0.973651338137405,      1.26154745049637, 1.05769292681279, 0.976719939584195, 0.90031621758677,      1.41347495302278, 1.71143518366979, 1.58753442345041, 0.876276656944215,      1.50728197565297), PROX_MRT = c(0.800124130005956, 0.658832763416297,      0.602718547061467, 0.586728597341744, 0.2084775132707, 0.667490524156887,      0.667490524156887, 0.481797794839233, 0.172867375742438,      0.712767869041386, 0.602819058882962, 0.324849533681113,      0.577154139562059, 0.343251427728879, 0.513893198964272,      0.229256973107587, 0.198072339225813, 0.336472807994142,      0.279401054335897, 0.222008379422339), PROX_PARK = c(0.561902145555774,      0.645156432286565, 0.569772965965399, 0.212766960501703,      1.1446906726086, 0.758867978246924, 0.758867978246924, 0.354623255285983,      1.16233583500127, 0.94305137750942, 0.879464356596765, 0.447685878226129,      1.12092772213378, 0.656436399769765, 0.842333894517479, 1.00267286051928,      0.925135888784, 0.286498275370587, 0.620470631841848, 0.882483872449952     ), PROX_GOOD_PRISCH = c(2.54268815221988, 2.39271928635374,      2.07907555576542, 2.41235725048041, 2.27101821651052, 1.91909050044553,      1.91909050044553, 2.29474127216967, 1.97663004084467, 1.76071721252525,      1.76550469910092, 2.16883728054707, 1.6842887316892, 1.85318585541752,      1.72660166123773, 1.87202126825599, 2.17137072991142, 2.51508960065264,      1.774803188623, 1.96272742295518), PROX_MALL = c(1.19892197022629,      1.14990641994387, 0.668924040978838, 0.707673546664446, 1.35153556565047,      0.72813233212774, 0.72813233212774, 0.542371475290289, 1.05810160080284,      0.808064657998832, 0.655283448157635, 0.386525633611572,      0.813382909306435, 0.400117032043626, 0.5620231960968, 0.948424723316687,      1.25122768833936, 0.614219522084071, 0.322264379768498, 1.0427530371351     ), PROX_CHAS = c(0.278906060515125, 0.17469359838053, 0.191227179226131,      0.13417187150752, 0.345234103044859, 0.255705601713763, 0.255705601713763,      0.059226360432522, 0.180657994610612, 0.253073540027742,      0.10733838099953, 0.194419509978617, 0.19044114280624, 0.191102980152323,      1.4078617678234e-08, 0.231037598077535, 0.130123043615932,      0.389026612692193, 0.241407331054591, 0.15212794302602),          PROX_SUPERMARKET = c(0.357092891009527, 0.357404112790227,          0.444314653432489, 0.707669264145537, 0.426625283183798,          0.336474046543398, 0.336474046543398, 0.542367678587035,          0.180658044884504, 0.263318229535236, 0.176189281490626,          0.386520309138909, 0.190441743522314, 0.230446816430876,          0.0851968725918189, 0.231037826802092, 0.30366394922488,          0.614233853755243, 0.234452518543083, 0.353624023725788         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 0L, 1L, 2L,          2L, 0L, 2L, 1L, 1L, 1L, 3L, 3L, 2L, 2L, 0L, 1L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 3L, 5L, 3L, 2L,          2L, 6L, 3L, 3L, 1L, 5L, 4L, 2L, 2L, 2L, 3L, 5L, 4L, 6L         ), WITHIN_350M_BUS = c(7L, 7L, 5L, 7L, 12L, 6L, 6L, 10L,          11L, 6L, 4L, 12L, 8L, 5L, 6L, 10L, 10L, 10L, 4L, 12L),          WITHIN_1KM_PRISCH = c(3L, 4L, 5L, 4L, 5L, 4L, 4L, 4L,          6L, 4L, 4L, 4L, 5L, 4L, 4L, 5L, 5L, 1L, 4L, 5L), DNeighbour = c(0,          161.998748404751, 563.13763813284, 581.049010356421,          619.222773694264, 653.284125929536, 655.005026795959,          717.520848567787, 768.183277233422, 784.968888035877,          827.540971573878, 845.10224423214, 876.707194873371,          894.27937470532, 904.921564023889, 927.096830729916,          955.173111954256, 966.578059334109, 1016.6958827891,          1016.78518312247)), row.names = c("113", "542", "618",      "353", "970", "473", "753", "565", "564", "225", "597", "131",      "229", "789", "103", "663", "235", "559", "493", "955"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.949875795862234, 0.480609154434581, 0.453517254497648,      0.395789816081704, 0.34479702577373, 0.34224428420915, 0.252025541926172,      0.184226951352844, 0.163215766749854, 0.113973483817394,      0.0955970038098518, 0.0658188179811308, 0.0512799085353998,      0.0432349664094502, 0.0284377386703374, 0.0138105264096221,      0.00927723099096031, 3.08510244872466e-08, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3052894947 
R squared (OOB):                  0.008777264 

$Forests[[114]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(515000, 470000, 550000,      330000, 518000, 310000, 315000, 630000, 515000, 582000, 520000,      638000, 680000, 838000, 485000, 450000, 650000, 545000, 680000,      815000), floor_area_sqm = c(103, 84, 105, 82, 84, 82, 87,      101, 110, 104, 108, 105, 76, 91, 103, 104, 86, 86, 86, 91     ), storey_order = c(3L, 3L, 2L, 4L, 3L, 5L, 1L, 2L, 1L, 3L,      1L, 3L, 11L, 12L, 2L, 1L, 3L, 1L, 3L, 11L), remaining_lease_mths = c(823,      813, 786, 657, 781, 656, 633, 952, 859, 935, 860, 918, 1071,      1106, 855, 828, 1018, 1025, 1025, 1109), PROX_CBD = c(6.41432963568309,      6.30150758144434, 6.4090346428634, 6.06674643703895, 6.59778313634683,      5.9699685911294, 5.88382015009973, 5.76616775136128, 5.31333197008925,      5.4901102241405, 7.50210394472385, 5.24252163748666, 5.17664618337401,      5.38577040159704, 7.70120549943486, 5.12061996426338, 5.26278746968545,      5.19905620756448, 5.19905620756448, 5.46273996086224), PROX_ELDERLYCARE = c(0.101150617829923,      0.0580157957368266, 0.336883008423279, 0.10409496222889,      0.619464736019043, 4.28110190953706e-07, 0.599695566252105,      0.708186986363007, 0.301885421229742, 0.157919913507301,      0.808331791227546, 0.232760622048558, 0.203403853153192,      0.343873602324804, 0.883817181840043, 0.279354008399566,      0.310343810032976, 0.3148233892717, 0.3148233892717, 0.323825203617813     ), PROX_HAWKER = c(0.639366917684312, 0.511576723994062,      0.729024203622067, 0.346985863757343, 1.00589931737343, 0.247906315943116,      0.302293625820731, 0.25612232537118, 0.15027253820603, 0.258924665495,      0.932792437987216, 0.316098981667774, 0.242990200436355,      0.225377370173431, 0.72907919143595, 0.158729667464322, 0.356302899600742,      0.424686940189847, 0.424686940189847, 0.17988889362956),          PROX_MRT = c(0.753240517287136, 0.911216039334219, 0.631935879685516,          1.1005845300218, 0.372865816575034, 1.03854772657135,          0.37771060533367, 0.0934691468297738, 0.839256513816073,          1.30755754576723, 0.506174946521629, 0.353807427048722,          0.347215067697513, 0.452916639575337, 0.692418360175919,          1.12797954219589, 0.321982757522174, 0.253583166891469,          0.253583166891469, 0.495510769155532), PROX_PARK = c(0.941128983241434,          0.950460734805334, 0.73120409495038, 0.741200181243785,          0.432673847047101, 0.792968228054446, 1.09766236241216,          1.02675087524374, 0.919693677764514, 0.803347187860442,          0.621272392201987, 0.540897442657821, 0.502895249788983,          0.680409922157526, 0.450335295656325, 1.12857946410316,          0.550000337404237, 0.482110245392283, 0.482110245392283,          0.816564732509704), PROX_GOOD_PRISCH = c(1.35156641752108,          1.50990256016426, 1.19038460547274, 1.85819018299306,          0.909917905905181, 1.89588922913119, 1.61186682958131,          1.65694818911091, 2.32631552336422, 2.45379201830723,          0.343243332218702, 2.20280244575696, 2.27859573799937,          2.04281306492033, 0.490611064856358, 2.70116277997296,          2.16237499594262, 2.22494939608982, 2.22494939608982,          1.99475835919692), PROX_MALL = c(0.713954983197348, 0.872189526609738,          0.56447134405004, 1.22044581333525, 0.324462922438517,          1.25835483053691, 0.966526596905427, 0.834887080030876,          0.752077094160308, 1.21674302842157, 0.584674138925751,          0.315823950773482, 0.285366785950761, 0.513452616263142,          0.779066462317335, 1.02774547618649, 0.38523327442887,          0.31885342913617, 0.31885342913617, 0.68208602871978),          PROX_CHAS = c(0.15014885052256, 0.0940735950578242, 0.141339892509329,          0.252393584019624, 0.0558741615176373, 0.21461630683628,          0.256579842259861, 0.143086854941205, 0.111194343620761,          0.233242749827373, 0.169910439255117, 0.0731998871787336,          0.0737889624358689, 0.180097972613039, 0.0405139203460024,          0.193072984237221, 0.188692357663819, 0.211748617283041,          0.211748617283041, 0.185272865297861), PROX_SUPERMARKET = c(0.519047869620273,          0.469210677159174, 0.360911693423373, 0.321431524942613,          0.173430033183904, 0.227231659318009, 0.27867057765081,          0.318319510093507, 0.370675298005651, 0.37596142908425,          0.26407208892283, 0.266280670019211, 0.177322353300672,          0.397689630461078, 0.0588346413192393, 0.198191070641627,          0.267150206458008, 0.199301193911681, 0.199301193911681,          0.544212695479659), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 0L, 0L, 1L, 0L, 1L, 2L, 1L, 0L, 2L, 3L, 1L, 4L, 4L,          1L, 4L, 4L, 4L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          5L, 2L, 3L, 2L, 4L, 1L, 3L, 3L, 3L, 5L, 7L, 7L, 4L, 4L,          5L, 6L, 6L, 4L), WITHIN_350M_BUS = c(7L, 7L, 9L, 6L,          7L, 8L, 8L, 8L, 12L, 10L, 4L, 10L, 9L, 8L, 4L, 9L, 9L,          9L, 9L, 8L), WITHIN_1KM_PRISCH = c(3L, 4L, 3L, 5L, 2L,          4L, 4L, 4L, 3L, 3L, 1L, 4L, 4L, 3L, 2L, 3L, 3L, 3L, 3L,          3L), DNeighbour = c(0, 152.88616750335, 263.073019268543,          501.239509783029, 534.902363669114, 546.237551206036,          644.100916668081, 1042.03040770588, 1103.25579545865,          1118.94557505004, 1239.46402233252, 1259.68027335913,          1299.12375985253, 1367.9023173366, 1397.57780206039,          1412.86895527156, 1426.97916220388, 1459.79816129936,          1463.88222638793, 1472.8370905575)), row.names = c("114",      "417", "269", "628", "957", "920", "201", "430", "279", "307",      "460", "472", "897", "116", "811", "646", "199", "533", "181",      "75"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.97856562525714,      0.937210141616151, 0.781775400672557, 0.753600344875105,      0.743823780082263, 0.654078723862703, 0.249445819304813,      0.192630101108897, 0.178779868297159, 0.0851448581717424,      0.0720950528349107, 0.0492744322777154, 0.0188835133055093,      0.00991723753804686, 0.00636394500446505, 0.00375794978121327,      0.000310728515085787, 0.000146968423369225, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       17543009311 
R squared (OOB):                  0.163195 

$Forests[[115]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(510000, 485000, 452000,      450000, 458888, 460000, 422000, 455000, 468000, 420000, 440000,      460000, 475000, 430000, 426888, 390000, 425000, 382000, 323000,      520000), floor_area_sqm = c(92, 95, 92, 92, 92, 92, 92, 92,      92, 92, 92, 92, 92, 92, 92, 90, 92, 86, 90, 93), storey_order = c(5L,      5L, 2L, 3L, 4L, 3L, 2L, 4L, 4L, 2L, 2L, 5L, 2L, 1L, 1L, 5L,      4L, 2L, 1L, 5L), remaining_lease_mths = c(1133, 1141, 1133,      1136, 1130, 1137, 1132, 1136, 1124, 1139, 1136, 1136, 1126,      1134, 1141, 978, 988, 989, 983, 1147), PROX_CBD = c(12.8180148044036,      12.8190940082697, 12.8941535537835, 12.6444338023734, 12.6444338023734,      12.6444338023734, 12.6523002899419, 12.5530445309639, 12.5372560863306,      12.4951121122816, 12.6445046545469, 12.5778468618744, 12.6532888174316,      12.5852639843962, 12.5841594105866, 12.4059518996545, 12.1902934701837,      12.3082954752684, 12.0200214112876, 13.7003463440691), PROX_ELDERLYCARE = c(0.265081039187363,      0.268492105828742, 0.346816364720296, 0.0933099122535032,      0.0933099122535032, 0.0933099122535032, 0.17445131765005,      4.52036057904239e-07, 0.066903342124331, 0.0780281999502717,      0.316798451576888, 0.25879478544564, 0.373604611296459, 0.3637938018331,      0.419823195233641, 0.404564014080405, 0.362754738306624,      0.583230122785789, 0.618171206910468, 0.434917902994305),          PROX_HAWKER = c(0.116173376637396, 0.146347761938812,          0.172433027954251, 0.0943584031018698, 0.0943584031018698,          0.0943584031018698, 0.228019105088385, 0.183834631869038,          0.184899994018696, 0.227760265989261, 0.385855619963418,          0.361759384229333, 0.440383933038266, 0.45815519033126,          0.512822421809829, 0.551023632791116, 0.536726116414185,          0.732610931237137, 0.743318510800665, 1.07570104527527         ), PROX_MRT = c(0.0414043955932523, 0.0524349257152741,          0.133852264483784, 0.135663244459145, 0.135663244459145,          0.135663244459145, 0.189124878414716, 0.225183269009929,          0.250680884626282, 0.288636635543175, 0.290856617513635,          0.325317058740364, 0.24828698655044, 0.305105021876954,          0.285300897266269, 0.467412150427879, 0.364194860258715,          0.348338435446781, 0.291532437270123, 0.256932190523524         ), PROX_PARK = c(0.594833919624026, 0.639036828502152,          0.541994755536806, 0.61385987529272, 0.61385987529272,          0.61385987529272, 0.76865606278053, 0.665189387379371,          0.614568616662392, 0.64692671777276, 0.927332929158558,          0.898636927133822, 0.981635622560504, 0.998305920751222,          1.05356492524152, 1.06942514246801, 0.883674706708426,          1.248380402738, 0.871053837980522, 1.30953091682666),          PROX_GOOD_PRISCH = c(3.15789060893291, 3.16783392704602,          3.22227453062783, 2.98554640042679, 2.98554640042679,          2.98554640042679, 3.02962689364369, 2.90013878468328,          2.87119716545371, 2.83249303987555, 3.06407026512831,          2.98751376551561, 3.08870420529617, 3.02473222579279,          3.04090040576321, 2.85954585658161, 2.54749739008747,          2.82059786507503, 2.31713852475231, 4.10033714204368),          PROX_MALL = c(0.881741038155881, 0.842111664425906, 0.965068597681967,          0.835997866672575, 0.835997866672575, 0.835997866672575,          0.680457081346124, 0.801147315442336, 0.863947607104433,          0.848059510883206, 0.525247230278188, 0.550769417999913,          0.475487624694748, 0.450387082903272, 0.39575302739997,          0.423524868376446, 0.835543217968543, 0.312386349772529,          0.859289251142989, 0.816725098938654), PROX_CHAS = c(0.0772642002388838,          0.0812086980787344, 0.115846127710365, 0.102096070463208,          0.102096070463208, 0.102096070463208, 0.162820120107843,          0.0780281620295796, 0.0439945201117045, 3.19858778746232e-08,          0.312339613016365, 0.236995708134403, 0.362882313204726,          0.324614821605945, 0.369996201265779, 0.187639553192951,          0.167384851183216, 0.200650927390068, 0.310908028614088,          0.0738696133860389), PROX_SUPERMARKET = c(0.0772646744727167,          0.0812089624400091, 0.115845823699909, 0.102095775430648,          0.102095775430648, 0.102095775430648, 0.162819600148508,          0.189775839444753, 0.218453608018692, 0.255060837787685,          0.312339147167174, 0.299832635957983, 0.36465940083402,          0.389269910824952, 0.385003628727568, 0.375814638453933,          0.552359009160243, 0.200651971059786, 0.507879796624066,          0.0738703098972174), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 0L,          0L, 2L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(6L, 7L,          5L, 7L, 7L, 7L, 6L, 7L, 6L, 5L, 5L, 5L, 5L, 4L, 4L, 4L,          3L, 4L, 1L, 5L), WITHIN_350M_BUS = c(9L, 9L, 6L, 10L,          10L, 10L, 11L, 11L, 10L, 10L, 11L, 8L, 11L, 11L, 10L,          10L, 12L, 8L, 6L, 13L), WITHIN_1KM_PRISCH = c(3L, 4L,          3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L,          3L, 6L, 4L, 3L), DNeighbour = c(0, 50.2935718326802,          90.8718215965082, 172.143741703935, 174.004818571322,          174.164343808561, 225.957796745384, 268.222785808597,          282.260299074497, 321.697815863194, 355.343876091572,          360.973235700499, 405.64026254328, 442.788262692186,          488.684153853524, 566.685977234179, 623.439353291538,          740.372887315445, 852.452602467358, 965.247230384138)), row.names = c("115",      "44", "371", "166", "807", "92", "311", "764", "672", "791",      "144", "355", "759", "180", "868", "138", "783", "231", "909",      "616"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994577645562005,      0.98235252889337, 0.937400147177565, 0.9360617435223, 0.93594639515879,      0.893403761328672, 0.85152804349944, 0.836289957859456, 0.790186394102751,      0.747316417915892, 0.739852258001343, 0.677977995479877,      0.623415109861836, 0.553062671778556, 0.429452915672174,      0.339692793307404, 0.169468965488809, 0.0484246967592901,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1285740526 
R squared (OOB):                  0.3501942 

$Forests[[116]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(838000, 650000, 760000,      545000, 680000, 815000, 630000, 638000, 680000, 315000, 445000,      515000, 480000, 446000, 550000, 518000, 310000, 470000, 450000,      515000), floor_area_sqm = c(91, 86, 91, 86, 86, 91, 101,      105, 76, 87, 84, 110, 94, 94, 105, 84, 82, 84, 104, 103),          storey_order = c(12L, 3L, 9L, 1L, 3L, 11L, 2L, 3L, 11L,          1L, 3L, 1L, 6L, 2L, 2L, 3L, 5L, 3L, 1L, 3L), remaining_lease_mths = c(1106,          1018, 1091, 1025, 1025, 1109, 952, 918, 1071, 633, 647,          859, 725, 723, 786, 781, 656, 813, 828, 823), PROX_CBD = c(5.38577040159704,          5.26278746968545, 5.4124717534787, 5.19905620756448,          5.19905620756448, 5.46273996086224, 5.76616775136128,          5.24252163748666, 5.17664618337401, 5.88382015009973,          4.82546817648507, 5.31333197008925, 4.50933618399607,          4.45295385586978, 6.4090346428634, 6.59778313634683,          5.9699685911294, 6.30150758144434, 5.12061996426338,          6.41432963568309), PROX_ELDERLYCARE = c(0.343873602324804,          0.310343810032976, 0.277453528347438, 0.3148233892717,          0.3148233892717, 0.323825203617813, 0.708186986363007,          0.232760622048558, 0.203403853153192, 0.599695566252105,          0.401252043911139, 0.301885421229742, 0.665866395733666,          0.645271528549996, 0.336883008423279, 0.619464736019043,          4.28110190953706e-07, 0.0580157957368266, 0.279354008399566,          0.101150617829923), PROX_HAWKER = c(0.225377370173431,          0.356302899600742, 0.214745652304629, 0.424686940189847,          0.424686940189847, 0.17988889362956, 0.25612232537118,          0.316098981667774, 0.242990200436355, 0.302293625820731,          0.33634581375869, 0.15027253820603, 0.665007751295857,          0.601904675681234, 0.729024203622067, 1.00589931737343,          0.247906315943116, 0.511576723994062, 0.158729667464322,          0.639366917684312), PROX_MRT = c(0.452916639575337, 0.321982757522174,          0.525678460826462, 0.253583166891469, 0.253583166891469,          0.495510769155532, 0.0934691468297738, 0.353807427048722,          0.347215067697513, 0.37771060533367, 0.437510974512092,          0.839256513816073, 0.549595780709265, 0.66128766903618,          0.631935879685516, 0.372865816575034, 1.03854772657135,          0.911216039334219, 1.12797954219589, 0.753240517287136         ), PROX_PARK = c(0.680409922157526, 0.550000337404237,          0.766524211973089, 0.482110245392283, 0.482110245392283,          0.816564732509704, 1.02675087524374, 0.540897442657821,          0.502895249788983, 1.09766236241216, 0.386749503328341,          0.919693677764514, 0.353281501558379, 0.473457593144303,          0.73120409495038, 0.432673847047101, 0.792968228054446,          0.950460734805334, 1.12857946410316, 0.941128983241434         ), PROX_GOOD_PRISCH = c(2.04281306492033, 2.16237499594262,          2.04167837943161, 2.22494939608982, 2.22494939608982,          1.99475835919692, 1.65694818911091, 2.20280244575696,          2.27859573799937, 1.61186682958131, 2.65585299610189,          2.32631552336422, 2.94429219434277, 3.02211493728223,          1.19038460547274, 0.909917905905181, 1.89588922913119,          1.50990256016426, 2.70116277997296, 1.35156641752108),          PROX_MALL = c(0.513452616263142, 0.38523327442887, 0.636573036587929,          0.31885342913617, 0.31885342913617, 0.68208602871978,          0.834887080030876, 0.315823950773482, 0.285366785950761,          0.966526596905427, 0.337875853585261, 0.752077094160308,          0.485349818185599, 0.570379319619026, 0.56447134405004,          0.324462922438517, 1.25835483053691, 0.872189526609738,          1.02774547618649, 0.713954983197348), PROX_CHAS = c(0.180097972613039,          0.188692357663819, 0.208534953207918, 0.211748617283041,          0.211748617283041, 0.185272865297861, 0.143086854941205,          0.0731998871787336, 0.0737889624358689, 0.256579842259861,          0.315432137833306, 0.111194343620761, 0.331046161101227,          0.303272176186244, 0.141339892509329, 0.0558741615176373,          0.21461630683628, 0.0940735950578242, 0.193072984237221,          0.15014885052256), PROX_SUPERMARKET = c(0.397689630461078,          0.267150206458008, 0.496000676868079, 0.199301193911681,          0.199301193911681, 0.544212695479659, 0.318319510093507,          0.266280670019211, 0.177322353300672, 0.27867057765081,          0.0907256678718214, 0.370675298005651, 0.325943517329761,          0.34627255092781, 0.360911693423373, 0.173430033183904,          0.227231659318009, 0.469210677159174, 0.198191070641627,          0.519047869620273), WITHIN_350M_KINDERGARTEN = c(4L,          4L, 1L, 4L, 4L, 1L, 2L, 3L, 1L, 1L, 0L, 1L, 0L, 0L, 0L,          1L, 0L, 2L, 1L, 2L), WITHIN_350M_CHILDCARE = c(7L, 5L,          4L, 6L, 6L, 4L, 1L, 5L, 7L, 4L, 2L, 3L, 1L, 1L, 5L, 3L,          2L, 4L, 4L, 4L), WITHIN_350M_BUS = c(8L, 9L, 7L, 9L,          9L, 8L, 8L, 10L, 9L, 8L, 8L, 12L, 5L, 6L, 9L, 7L, 8L,          7L, 9L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          3L, 4L, 4L, 4L, 4L, 2L, 3L, 0L, 1L, 3L, 2L, 4L, 4L, 3L,          3L), DNeighbour = c(0, 131.24829939525, 172.525044741373,          200.770775694904, 203.702168910189, 203.988772447919,          393.170530392654, 423.885754433009, 493.197324574168,          728.201299991354, 819.942643754728, 959.733056026702,          1003.72719059232, 1113.31304036999, 1215.66762900724,          1298.75010594053, 1306.06274717259, 1349.56524012813,          1354.14479169832, 1367.9023173366)), row.names = c("116",      "199", "436", "533", "181", "75", "430", "472", "897", "201",      "288", "279", "622", "346", "269", "957", "920", "417", "646",      "114"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.981672488799655,      0.9684386112292, 0.957379591668555, 0.95613998240187, 0.956017864507946,      0.841597737573773, 0.817169538824508, 0.756906301524888,      0.513522215745034, 0.410496956460928, 0.257804294175677,      0.213056068810845, 0.113969540011164, 0.0441822014581718,      0.00971235682510812, 0.00780951459836739, 0.000709199828605178,      0.00040054525805039, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       13841798299 
R squared (OOB):                  0.3609713 

$Forests[[117]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 452000, 372500,      420000, 348000, 433000, 376000, 378888, 380000, 490000, 330000,      475000, 505000, 495000, 510000, 5e+05, 540000, 350000, 475000,      505000), floor_area_sqm = c(95, 95, 102, 93, 100, 92, 102,      90, 92, 92, 91, 90, 90, 93, 93, 92, 93, 91, 93, 92), storey_order = c(2L,      4L, 2L, 2L, 3L, 4L, 5L, 6L, 1L, 3L, 3L, 5L, 6L, 3L, 3L, 3L,      4L, 1L, 4L, 4L), remaining_lease_mths = c(1109, 1112, 931,      1099, 938, 1084, 944, 949, 1037, 1038, 951, 1031, 1033, 1076,      1076, 1049, 1075, 992, 1130, 1051), PROX_CBD = c(12.0901026943072,      12.1424265739316, 11.9627383543319, 11.8999896789117, 11.8646943012694,      11.8702915361943, 11.9885535057438, 12.4403773011877, 11.6419253241709,      11.6213283462416, 12.402570085049, 11.780035597066, 11.6571985599938,      11.7824349405223, 11.734228152501, 11.4975151935682, 11.8019303594103,      12.6773565587662, 11.4536743231806, 11.4388659085475), PROX_ELDERLYCARE = c(0.911165280518988,      0.88680281476439, 0.96089261866182, 0.790393757138983, 0.893707553155367,      0.670900780040593, 0.468647269590137, 0.624054710630084,      0.626216066088841, 0.621923465733728, 0.628872951670854,      0.389019901488026, 0.400746835300904, 0.213047345375207,      0.217445500321488, 0.485429735975203, 0.184707688528033,      0.36284597954094, 1.19895989384568, 0.529438756707198), PROX_HAWKER = c(0.995330006841388,      0.999275592501037, 0.983415578941634, 0.820501997631561,      0.888626336009462, 0.715369360111721, 0.661637750611862,      1.46996215979098, 0.553081930127745, 0.537052085835962, 1.50745216628998,      0.475091880549249, 0.38372613736418, 0.411134055372247, 0.366555491930585,      0.320302217757218, 0.425288384889406, 1.72249172765999, 1.02903329925728,      0.319632581294072), PROX_MRT = c(0.231980634651484, 0.303530488733859,      0.122900516984256, 0.261250382411254, 0.214047355776769,      0.146531371307633, 0.253577460439113, 0.140157494228817,      0.168432978085695, 0.182944945438028, 0.198968515523371,      0.149757666469573, 0.187661086924798, 0.323171872402698,      0.276453864170284, 0.24936700359253, 0.341923672362566, 0.142163643631393,      0.573574303209013, 0.264110896255266), PROX_PARK = c(0.750469455971567,      0.699596772952975, 0.836149627657164, 0.813614799778521,      0.747986195716587, 0.8322137924942, 0.965214735166117, 0.525489875872169,      0.654970873229416, 0.643411448820926, 0.61879465488716, 0.915827670442916,      0.822874314333037, 1.04913519120928, 1.00928973198994, 0.698336840868775,      1.09015045463689, 0.484105342641425, 0.341254943367627, 0.653351036954048     ), PROX_GOOD_PRISCH = c(3.19167768034691, 3.20088339163048,      3.15511978010431, 3.00567179865442, 3.05097986431403, 2.91053685401804,      2.84793008582659, 3.6640626331803, 2.71543842399088, 2.69528593883292,      3.69141799128789, 2.67648686403773, 2.58492752090912, 2.5757070458522,      2.54247396470066, 2.48345794754568, 2.57167610218627, 3.92066991749349,      2.96812409551872, 2.45055199705462), PROX_MALL = c(0.1200910408013,      0.171446483339376, 0.161680393170103, 0.283076960540796,      0.265637621954407, 0.385092319171944, 0.581599658792334,      0.37643645467035, 0.576398809288588, 0.597386337892971, 0.407881748949563,      0.657761426948524, 0.718523422751835, 0.732391369928616,      0.781937846313192, 0.805279144871904, 0.70263709534569, 0.485078273736912,      0.714729745574342, 0.840491697823826), PROX_CHAS = c(0.120090990225825,      0.171446425970546, 0.161680400961643, 0.283076936045466,      0.265637621677666, 0.179381733260264, 0.0548782345589675,      0.376436475429729, 0.118628580179885, 0.130352204164602,      0.407881782403473, 0.165734916528407, 0.162236141473446,      0.182294192745256, 0.203102352137365, 0.18789773503711, 0.144895120017984,      0.334175310205776, 0.31407050179696, 0.210772889992189),          PROX_SUPERMARKET = c(0.109512866312649, 0.178201527122821,          0.107037284539066, 0.236972988988714, 0.211091622880127,          0.31749021679057, 0.41771106664497, 0.426522673463594,          0.0879874709963817, 0.0679201472407272, 0.451295114828249,          0.328761363845442, 0.248678179468178, 0.186528474083994,          0.206717744357565, 0.186124684843571, 0.149354766345577,          0.485077395132212, 0.345653574215055, 0.189609627596398         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(8L, 7L, 8L, 7L, 7L, 9L,          6L, 4L, 6L, 6L, 3L, 9L, 8L, 8L, 8L, 4L, 7L, 8L, 2L, 4L         ), WITHIN_350M_BUS = c(8L, 9L, 9L, 9L, 8L, 10L, 14L,          11L, 8L, 8L, 9L, 8L, 9L, 11L, 10L, 8L, 13L, 13L, 8L,          7L), WITHIN_1KM_PRISCH = c(4L, 5L, 4L, 5L, 5L, 5L, 7L,          4L, 5L, 6L, 4L, 6L, 5L, 7L, 5L, 4L, 6L, 4L, 4L, 5L),          DNeighbour = c(0, 72.8672144941893, 165.015926315055,          195.900626524441, 235.593765795852, 275.951772316306,          458.224202699091, 469.851955167366, 491.17488122118,          510.506902622172, 516.138431156148, 544.937858742467,          607.530365011816, 697.071218618887, 713.948882633672,          715.765914647787, 724.199399153603, 727.128035696941,          734.825464167889, 751.009645341983)), row.names = c("117",      "147", "295", "185", "232", "110", "486", "444", "421", "89",      "80", "263", "977", "260", "409", "553", "342", "400", "132",      "271"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.981260661508664,      0.905772348122965, 0.868544677140785, 0.812865620314169,      0.748202640083354, 0.394037441649077, 0.370382742281687,      0.327479926090011, 0.289363608369238, 0.27844040971474, 0.22419701854241,      0.119437632716694, 0.0191778589226604, 0.00926610692059978,      0.008400575104913, 0.00491729969021556, 0.00391719244481212,      0.00181777713598206, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2706974435 
R squared (OOB):                  0.3591623 

$Forests[[118]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 373888, 333000,      335000, 333000, 340000, 360000, 358000, 337000, 333000, 320000,      395000, 4e+05, 324000, 368888, 380000, 364000, 330000, 375000,      394000), floor_area_sqm = c(93, 93, 90, 100, 103, 105, 105,      101, 105, 100, 100, 92, 92, 90, 92, 92, 100, 102, 92, 92),          storey_order = c(5L, 5L, 2L, 4L, 1L, 1L, 3L, 3L, 1L,          4L, 4L, 3L, 4L, 4L, 4L, 4L, 2L, 1L, 2L, 5L), remaining_lease_mths = c(993,          990, 1009, 930, 953, 956, 960, 960, 947, 928, 930, 1132,          1145, 929, 1143, 1135, 921, 911, 1135, 1142), PROX_CBD = c(17.8363687874637,          17.8363687874637, 17.8072819651564, 17.9186379864086,          17.7412802518209, 17.6472423100513, 17.6410789876396,          17.5852868111176, 17.5852868111176, 18.2095446148373,          18.242108360018, 18.4477570786683, 18.4659506582063,          18.3448727328387, 18.528449956106, 18.528449956106, 17.9386403893839,          18.2320763538069, 18.5586196198757, 18.5586196198757),          PROX_ELDERLYCARE = c(1.40920769604983, 1.40920769604983,          1.52664538751384, 1.13507400842797, 1.00357172816211,          1.0260991137238, 0.969292416022308, 0.979721953613503,          0.979721953613503, 1.17430183890643, 1.08331104464233,          1.45029388933935, 1.40960952841152, 1.12000720290482,          1.49671415705568, 1.49671415705568, 0.714833653499633,          0.927534095024191, 1.41981179339616, 1.41981179339616         ), PROX_HAWKER = c(0.692541487012902, 0.692541487012902,          0.809141875883089, 0.435091735724103, 0.286367973105455,          0.322354465675231, 0.270187519380927, 0.300047945510982,          0.300047945510982, 0.579651089601917, 0.548257960059823,          0.879695992543251, 0.861254406292383, 0.636376603494217,          0.947708217710491, 0.947708217710491, 0.201936965562497,          0.493410913505403, 0.915906485722884, 0.915906485722884         ), PROX_MRT = c(0.634260663268818, 0.634260663268818,          0.753928873695942, 0.364011265623101, 0.240079810641839,          0.296963624455722, 0.253083991654003, 0.294966346549802,          0.294966346549802, 0.501132314022455, 0.47401652613315,          0.801027338961469, 0.783375472664302, 0.565211037998289,          0.869531291623609, 0.869531291623609, 0.168914117564514,          0.433316978327494, 0.839968978875504, 0.839968978875504         ), PROX_PARK = c(2.04440878541867, 2.04440878541867,          1.93736074272598, 2.31505119222808, 2.28949331488756,          2.2163258228061, 2.26013213847351, 2.22462050149276,          2.22462050149276, 2.25371860749481, 2.12857307310705,          2.38376543636855, 2.321508063195, 2.08056453235766, 2.37596217173297,          2.37596217173297, 1.99379565561889, 1.96114614265628,          2.25577949184332, 2.25577949184332), PROX_GOOD_PRISCH = c(8.25468587074647,          8.25468587074647, 8.21423979230025, 8.3676789538936,          8.20478390995202, 8.10862356805264, 8.10977708422392,          8.05369522760851, 8.05369522760851, 8.6635222339794,          8.71021480286832, 8.8804818877731, 8.90481615501782,          8.81498363377987, 8.9605147002348, 8.9605147002348, 8.4444135457925,          8.72297519828522, 9.00274768401056, 9.00274768401056),          PROX_MALL = c(0.630636123898788, 0.630636123898788, 0.745769461616378,          0.384238747959315, 0.222110908162432, 0.255877276101632,          0.204458422444813, 0.237472256939882, 0.237472256939882,          0.468966497593582, 0.347669457974494, 0.601716003339109,          0.542775018358786, 0.284195187673565, 0.613385110580272,          0.613385110580272, 0.238372860218233, 0.22704735136933,          0.5054917244252, 0.5054917244252), PROX_CHAS = c(0.221589023831152,          0.221589023831152, 0.195830090979757, 0.360842629752134,          0.222110881748482, 0.212266026856788, 0.201289943337815,          0.145295883687343, 0.145295883687343, 0.3998394205418,          0.274735402884708, 0.260006933015678, 0.20305264112251,          0.24769320941352, 0.220932244035638, 0.220932244035638,          0.076984763134016, 0.11607611654581, 0.101888085354885,          0.101888085354885), PROX_SUPERMARKET = c(0.22158921197453,          0.22158921197453, 0.265666518411173, 0.360842909613722,          0.222110358133712, 0.255876154174577, 0.204457160029983,          0.237470779768967, 0.237470779768967, 0.402574253870019,          0.347668959247477, 0.260005577706646, 0.203051245143547,          0.284194910851331, 0.220931072377982, 0.220931072377982,          0.171190500184261, 0.227046556279957, 0.101886801165025,          0.101886801165025), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L,          0L, 1L, 2L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          2L, 1L, 5L, 6L, 5L, 5L, 5L, 2L, 3L, 3L, 3L, 5L, 3L, 3L,          6L, 5L, 3L, 3L), WITHIN_350M_BUS = c(6L, 6L, 4L, 11L,          16L, 13L, 15L, 15L, 15L, 8L, 7L, 8L, 6L, 8L, 6L, 6L,          8L, 10L, 5L, 5L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 5L, 4L,          4L, 4L), DNeighbour = c(0, 10.1469878252374, 127.546426111214,          298.468938930391, 406.637815190927, 417.112166954546,          467.271498486076, 487.402993461761, 494.424748310959,          510.653534481061, 623.252086947762, 637.153194795778,          670.00292160115, 708.795279577511, 716.749798132804,          718.112230812694, 735.021020343866, 758.337351885765,          779.460703285533, 780.372017729015)), row.names = c("118",      "391", "358", "590", "242", "554", "615", "224", "800", "243",      "608", "504", "777", "512", "875", "102", "638", "443", "35",      "581"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999661885198763,      0.94728632148581, 0.728832113099636, 0.530673705284686, 0.51023191486624,      0.411473481036306, 0.371981234016369, 0.358300208258535,      0.326952257632505, 0.13114672229978, 0.111136069047783, 0.0690953455316547,      0.0306354337766005, 0.0244638698423495, 0.0234699882053266,      0.0127355442149844, 0.00309969798718445, 5.44861105001655e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       343599075 
R squared (OOB):                  0.4737819 

$Forests[[119]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(428000, 395000, 412000,      390000, 390000, 415000, 375000, 390000, 342000, 4e+05, 455000,      537000, 518000, 495000, 483000, 535000, 5e+05, 553000, 520000,      425000), floor_area_sqm = c(112, 104, 104, 104, 105, 106,      104, 105, 105, 104, 112, 93, 93, 93, 93, 93, 93, 93, 93,      104), storey_order = c(1L, 2L, 3L, 2L, 3L, 3L, 1L, 3L, 1L,      3L, 1L, 4L, 2L, 2L, 2L, 3L, 3L, 4L, 3L, 3L), remaining_lease_mths = c(892,      905, 891, 906, 921, 919, 919, 911, 904, 903, 896, 1128, 1132,      1131, 1129, 1131, 1131, 1134, 1133, 871), PROX_CBD = c(13.9733994982273,      13.6654936015449, 14.1568072460962, 14.1961571609712, 13.4627621473458,      13.4239402990732, 13.4266027498608, 13.3796709379934, 13.3769343120963,      13.3287778793447, 14.0913802169285, 14.1022978560303, 14.0392008059995,      14.1234549986629, 13.9851487819813, 13.9851487819813, 13.8777465201196,      13.8021184722805, 13.7835124985007, 14.0236082538335), PROX_ELDERLYCARE = c(2.73602573538322,      2.4559089786438, 2.56669577269824, 2.56528175499621, 2.3602438602499,      2.35754914737924, 2.17127601573547, 2.22474645739358, 2.13793612643937,      2.1917657327852, 1.71411655426264, 1.39999761805574, 1.32747908409073,      1.35242241046818, 1.27246652758392, 1.27246652758392, 1.14875617578224,      1.08391670289184, 1.04590518035641, 1.09340394122649), PROX_HAWKER = c(1.72752929984142,      1.8007485076056, 1.398882753411, 1.37564916931309, 1.98731518790586,      2.04148614266885, 1.79623369603986, 1.93918128958002, 1.83400406292357,      1.97547555130032, 0.659732742059419, 0.488105393549706, 0.543253862226502,      0.458626901673037, 0.59565400543288, 0.59565400543288, 0.709523473368326,      0.792084042786722, 0.817574416707151, 0.594999289424802),          PROX_MRT = c(1.52912572857094, 1.57537750219681, 1.21408476422274,          1.19597144129318, 1.75308710953532, 1.80644454579453,          1.55284801629317, 1.69795623670388, 1.58891799000297,          1.73242783606755, 0.410797330392975, 0.255700458734308,          0.327704984287647, 0.250036690549804, 0.390641440388092,          0.390641440388092, 0.526263367583387, 0.615458599020507,          0.648112836468654, 0.469886084443941), PROX_PARK = c(0.916601452818718,          0.850306194456086, 0.574460502508352, 0.541272645896965,          0.956537089868377, 1.00169815399328, 0.713305409065456,          0.863182736105437, 0.736187117229036, 0.88512129863374,          0.524242894978874, 0.52092144022497, 0.547177414231792,          0.469588575534173, 0.580591669210194, 0.580591669210194,          0.548712671125698, 0.476945111703218, 0.438074957540257,          0.504422356794811), PROX_GOOD_PRISCH = c(3.4114102230046,          3.15584859653876, 3.36750863472211, 3.39040053008466,          3.09165556928148, 3.09662994187342, 2.87807351257242,          2.95323290488506, 2.85157742620146, 2.92650083991791,          2.83541955823977, 2.69832814229385, 2.61966269686357,          2.69456588548322, 2.55482099432271, 2.55482099432271,          2.41902859908312, 2.33081910479479, 2.3007469286795,          2.51794344218072), PROX_MALL = c(0.596418817267466, 0.710058429219954,          0.280844166366742, 0.270320025824244, 0.924666219790251,          0.980263777031476, 0.808973697710999, 0.921202261186462,          0.857746498744393, 0.968339604524727, 0.471401908473598,          0.257523814996123, 0.316340524018432, 0.232476208076891,          0.37312896686832, 0.37312896686832, 0.498678106329343,          0.585717052475653, 0.615576551193732, 0.418819234777705         ), PROX_CHAS = c(0.126775582068521, 0.111974276762728,          0.192284580165596, 0.176758267598596, 0.335494764547789,          0.386919516068906, 0.374720545025774, 0.396028378293497,          0.418304503654494, 0.447143544638255, 0.471401941314913,          0.177701329016163, 0.101753514952091, 0.147334233235439,          0.0604900109870272, 0.0604900109870272, 0.133705064347241,          0.221659659627321, 0.253975316505048, 0.151261605672147         ), PROX_SUPERMARKET = c(0.159712105919183, 0.207177695926551,          0.192285941870899, 0.176759883249677, 0.370560193975877,          0.409344743904916, 0.196965153344936, 0.347107460725314,          0.224617478786604, 0.37251565902947, 0.471402360745676,          0.177702101069216, 0.101754383553332, 0.147334782275979,          0.0604908810371704, 0.0604908810371704, 0.133704798830233,          0.221659301316653, 0.253974877653299, 0.151260689076964         ), WITHIN_350M_KINDERGARTEN = c(5L, 1L, 3L, 3L, 1L, 0L,          1L, 0L, 1L, 0L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 3L, 4L, 2L, 1L,          1L, 1L, 1L, 1L, 1L, 4L, 4L, 4L, 3L, 3L, 2L, 2L, 2L, 4L         ), WITHIN_350M_BUS = c(10L, 12L, 9L, 9L, 7L, 7L, 7L,          8L, 5L, 6L, 12L, 11L, 10L, 13L, 8L, 8L, 8L, 5L, 6L, 12L         ), WITHIN_1KM_PRISCH = c(2L, 2L, 3L, 3L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L),          DNeighbour = c(0, 306.241971049693, 345.333627218798,          380.758475455235, 516.361337892445, 555.000665778257,          580.469904755869, 593.047741232753, 625.488707109497,          648.330282216623, 1162.84734048838, 1507.13157459173,          1550.91858710197, 1562.7963430487, 1580.39201450653,          1585.55496489729, 1673.34566860135, 1723.34844007529,          1762.19720896154, 1791.4550943214)), row.names = c("119",      "302", "933", "555", "155", "38", "818", "222", "965", "949",      "352", "815", "218", "212", "938", "819", "579", "275", "380",      "51"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.942408928031438,      0.927062483196542, 0.911692936928912, 0.840742604162893,      0.817254394083704, 0.801043061197904, 0.792831526241949,      0.771048080906603, 0.755208458143689, 0.334846425198623,      0.0853999599522056, 0.0627549952704959, 0.0571140790845537,      0.0491741186338254, 0.0469412059122318, 0.0162593036953767,      0.00556362045884201, 0.00104957149888128, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3484767743 
R squared (OOB):                  0.149727 

$Forests[[120]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(318000, 445000, 459000,      425000, 418000, 395000, 430000, 425000, 447888, 462000, 443000,      382000, 418000, 442500, 418888, 345000, 450000, 358000, 390000,      415000), floor_area_sqm = c(90, 93, 93, 93, 92, 93, 92, 93,      93, 93, 93, 93, 92, 92, 92, 90, 92, 104, 92, 92), storey_order = c(3L,      4L, 4L, 4L, 3L, 2L, 5L, 5L, 5L, 5L, 5L, 1L, 5L, 6L, 3L, 5L,      4L, 4L, 1L, 2L), remaining_lease_mths = c(968, 1133, 1138,      1134, 1134, 1138, 1137, 1134, 1137, 1134, 1134, 1111, 1142,      1138, 1136, 937, 1135, 815, 1132, 1132), PROX_CBD = c(14.1338242827509,      14.1149653809405, 14.1715462602585, 14.318757359464, 14.318757359464,      14.318757359464, 14.2919055230493, 14.3486805845321, 14.1475961545785,      14.1475961545785, 14.1475961545785, 14.29200158436, 14.4012043650842,      14.4158973706441, 14.4158973706441, 14.2787185061121, 14.5310939664424,      14.0960645211931, 14.6424103631698, 14.6122009832922), PROX_ELDERLYCARE = c(2.28550514148655,      2.12564955085825, 2.09595649451453, 2.13920478430288, 2.13920478430288,      2.13920478430288, 2.08663557441472, 2.08279710659019, 2.03155968851809,      2.03155968851809, 2.03155968851809, 2.00367987562091, 1.94149260139439,      1.86115765343828, 1.86115765343828, 1.77826193055387, 1.79186944623163,      1.70531999087377, 1.72557175775889, 1.68824062303628), PROX_HAWKER = c(1.19906286300234,      1.06810792734919, 1.11030496241672, 1.17625726432186, 1.17625726432186,      1.17625726432186, 1.13160866269818, 1.11865892678262, 1.0452124348096,      1.0452124348096, 1.0452124348096, 1.05572120633707, 0.977925494011815,      0.900970586039013, 0.900970586039013, 0.865181709866835,      0.816792492128141, 0.845358517598031, 0.740384095011384,      0.707122679385598), PROX_MRT = c(0.414064606154384, 0.282489779359316,      0.236487582928319, 0.277525006355607, 0.277525006355607,      0.277525006355607, 0.215635082050947, 0.228370105834555,      0.206896355650083, 0.206896355650083, 0.206896355650083,      0.129588785375857, 0.117672709296806, 0.0830542408041225,      0.0830542408041225, 0.14195902454703, 0.197201307651512,      0.217341234217998, 0.312698200175978, 0.295449456212788),          PROX_PARK = c(1.68789157401301, 1.55223981690243, 1.59201213147604,          1.77227256709076, 1.77227256709076, 1.77227256709076,          1.71136953372848, 1.76668334590621, 1.52292224478236,          1.52292224478236, 1.52292224478236, 1.659682039687, 1.73691437359179,          1.70853765465547, 1.70853765465547, 1.51686048726609,          1.79335149216305, 1.27300714898888, 1.78460824921244,          1.76906915549279), PROX_GOOD_PRISCH = c(5.57754198399205,          5.45814117537329, 5.50129862889456, 5.68167095374807,          5.68167095374807, 5.68167095374807, 5.62322031775431,          5.67955556528646, 5.43570837857945, 5.43570837857945,          5.43570837857945, 5.57470277830303, 5.65284274036128,          5.62289607338158, 5.62289607338158, 5.42826997650874,          5.7030752613132, 5.17863906457975, 5.77937603269072,          5.7298925008129), PROX_MALL = c(0.547412994688805, 0.377565489031552,          0.405991175981987, 0.582562895872492, 0.582562895872492,          0.582562895872492, 0.517951444315281, 0.571430807201143,          0.329425359540921, 0.329425359540921, 0.329425359540921,          0.462705775504015, 0.544441659044551, 0.475045953779526,          0.475045953779526, 0.338911837083335, 0.466036051693473,          0.243284841315127, 0.482269498416602, 0.426875162675013         ), PROX_CHAS = c(0.219091723429967, 0.179884741524278,          0.12657377242065, 0.0707174365033835, 0.0707174365033835,          0.0707174365033835, 3.54155757628082e-08, 0.0590253437170886,          0.188783823394846, 0.188783823394846, 0.188783823394846,          0.0888572682655253, 0.0706873614354785, 0.0420419616737589,          0.0420419616737589, 0.18872293939054, 0.162368565956873,          0.132339190026647, 0.280031834846542, 0.270793953405505         ), PROX_SUPERMARKET = c(0.41091265647621, 0.299769914037237,          0.248308073473709, 0.25307995359875, 0.25307995359875,          0.25307995359875, 0.199383936085002, 0.199153546859355,          0.235757849482592, 0.235757849482592, 0.235757849482592,          0.124391003677116, 0.0706874850207218, 0.0420421510628514,          0.0420421510628514, 0.188722783027928, 0.162368758687164,          0.226949559622758, 0.280032026158491, 0.270794118098451         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 6L, 5L, 4L, 4L, 4L,          5L, 4L, 6L, 6L, 6L, 5L, 5L, 5L, 5L, 6L, 4L, 7L, 3L, 5L         ), WITHIN_350M_BUS = c(3L, 5L, 5L, 3L, 3L, 3L, 4L, 4L,          6L, 6L, 6L, 5L, 6L, 7L, 7L, 8L, 8L, 9L, 6L, 6L), WITHIN_1KM_PRISCH = c(3L,          4L, 4L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 3L, 4L, 4L,          4L, 3L, 5L, 3L, 4L), DNeighbour = c(0, 176.82451008397,          190.240741167114, 205.522666099932, 209.506945459775,          209.688440811487, 218.43062091562, 259.569925468155,          272.692233755782, 274.128647804436, 274.193230837402,          291.946728912786, 378.071763971984, 445.26810821111,          446.098178515187, 516.396977537152, 555.538211176961,          662.092543906263, 667.461483081467, 675.537472762045)), row.names = c("120",      "519", "277", "205", "58", "840", "267", "217", "623", "207",      "966", "989", "633", "33", "100", "329", "609", "880", "323",      "489"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.867664194914462,      0.84767672767825, 0.8234484309696, 0.816885312945889, 0.816583975159261,      0.801828928863199, 0.7265141974824, 0.700657548799966, 0.697779076809143,      0.697649441318236, 0.661342180357314, 0.471666657077206,      0.319841722354673, 0.31801047601144, 0.172770016942609, 0.10479217987994,      0.00155307078250398, 0.000564865540540499, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1189356600 
R squared (OOB):                  0.2211395 

$Forests[[121]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 297000, 320000,      314000, 335000, 330000, 325000, 375000, 392000, 335000, 3e+05,      388000, 343000, 363000, 417000, 340888, 355000, 335000, 491000,      450000), floor_area_sqm = c(90, 90, 91, 91, 90, 91, 90, 108,      113, 105, 106, 104, 107, 104, 92, 107, 104, 114, 92, 93),          storey_order = c(5L, 2L, 8L, 3L, 3L, 1L, 5L, 2L, 2L,          2L, 2L, 6L, 2L, 5L, 2L, 4L, 4L, 3L, 9L, 4L), remaining_lease_mths = c(1001,          995, 995, 985, 979, 987, 992, 909, 933, 938, 941, 904,          907, 918, 1120, 883, 882, 904, 1137, 1131), PROX_CBD = c(16.8082045368238,          16.901501451739, 16.7093180086981, 17.0716695500607,          17.0600275230943, 17.2817356498826, 17.2610384590751,          16.9875722318911, 16.6579104452557, 17.3741762112269,          17.3741762112269, 16.3777502460772, 17.2160129653012,          16.295166477654, 16.7161737209409, 16.7669966667855,          16.7669966667855, 16.3642048862006, 15.0782917837809,          15.1194109037639), PROX_ELDERLYCARE = c(1.15380285023885,          1.16689850532437, 0.935779967581661, 1.21621641692937,          1.09431476347566, 1.19353475005496, 1.12094638660826,          0.636322412867891, 0.409372351007212, 0.815153211361198,          0.815153211361198, 0.465083314136851, 0.574386357445605,          0.514795208711411, 9.26628957858198e-07, 0.121542639162494,          0.121542639162494, 0.361422596457277, 0.811417024562957,          0.632846087105322), PROX_HAWKER = c(1.94950915107796,          2.0413146444202, 1.82495077083007, 2.2102134433082, 2.18272534115171,          2.40388099430384, 2.37726799660773, 2.10596394293278,          1.80129318596364, 2.50067722531469, 2.50067722531469,          1.54627052523026, 2.37357884684332, 1.47281657351752,          1.96687058888139, 2.05474291859885, 2.05474291859885,          1.67761333691466, 0.241120378832392, 0.399490681633122         ), PROX_MRT = c(0.730447684580082, 0.740013435080822,          0.522077155701705, 0.793158171270894, 0.673816738147829,          0.797812759521718, 0.729621307242001, 0.252669932820992,          0.128609360773056, 0.590831178240684, 0.590831178240684,          0.419412974707088, 0.453815632281196, 0.504795745143921,          0.427108887982576, 0.53300655679357, 0.53300655679357,          0.653367521351592, 0.604690005035212, 0.674936552563307         ), PROX_PARK = c(1.39545287332227, 1.46267930314228,          1.17885821480356, 1.59669720594139, 1.5130077643247,          1.70244245234235, 1.64853798443183, 1.18807543108152,          0.826869373992433, 1.47164498360674, 1.47164498360674,          0.571339732684777, 1.24959985284921, 0.48638578612152,          0.688779163701323, 0.722711239268322, 0.722711239268322,          0.32735774848914, 0.889047622652367, 0.773048101136696         ), PROX_GOOD_PRISCH = c(7.5739079893598, 7.66085245964853,          7.40748446052123, 7.82238149093771, 7.76907239486735,          7.98012169831377, 7.93716312588154, 7.55033959010056,          7.18541951227303, 7.888904100652, 7.888904100652, 6.89348817522951,          7.68034428555912, 6.80828229467371, 7.12110535783693,          7.13952904562396, 7.13952904562396, 6.76031366250815,          5.77803713337603, 5.74516136190441), PROX_MALL = c(0.677813655888015,          0.678684538412688, 0.484270435079706, 0.719585865775528,          0.597930181439745, 0.713200150273906, 0.644198936007264,          0.165557901737932, 0.168053149288668, 0.521008948961951,          0.521008948961951, 0.427317836890542, 0.413606644895247,          0.510483215269896, 0.337595745740984, 0.27529824968273,          0.27529824968273, 0.388175183991252, 0.79347213158724,          0.744876648240093), PROX_CHAS = c(0.71936188995133, 0.720584477651296,          0.52365796939069, 0.760340467100735, 0.638199243310692,          0.748586514709626, 0.678651577140463, 0.194474796894964,          0.170995488718356, 0.524369302913132, 0.524369302913132,          0.429996386722335, 0.303266380929536, 0.513107963149175,          0.279591917356114, 0.222759343861358, 0.222759343861358,          0.380772978950647, 0.128222338920945, 0.0812821875339188         ), PROX_SUPERMARKET = c(0.768274584157999, 0.780695486504835,          0.555366708418936, 0.837223205851576, 0.718466194952364,          0.842475689687135, 0.771245719522698, 0.284398337107734,          0.103652200866821, 0.559408220033625, 0.559408220033625,          0.386156989530241, 0.387759857324111, 0.471223408024363,          0.344537051235884, 0.243987988302975, 0.243987988302975,          0.422789252098693, 0.286089695736963, 0.325050502595441         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 0L,          0L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 1L, 2L, 2L, 3L,          3L, 4L, 5L, 4L, 4L, 3L, 5L, 3L, 6L, 5L, 5L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(9L, 7L, 8L, 5L, 7L, 5L, 5L, 11L,          9L, 2L, 2L, 8L, 5L, 7L, 12L, 11L, 11L, 6L, 10L, 12L),          WITHIN_1KM_PRISCH = c(2L, 2L, 3L, 2L, 2L, 2L, 2L, 4L,          4L, 4L, 4L, 4L, 4L, 3L, 4L, 3L, 3L, 3L, 4L, 3L), DNeighbour = c(0,          97.980414103451, 228.49450487558, 261.186435637581, 277.181893602853,          489.606256490724, 489.761736596683, 601.830214245025,          755.782445733434, 889.231494023066, 891.670956629891,          924.771466011951, 968.432492179486, 979.12914752859,          1147.39326313648, 1259.22689994085, 1263.05096141225,          1293.16548120219, 1805.73064770972, 1825.99857178668)), row.names = c("121",      "416", "156", "431", "208", "127", "525", "125", "918", "822",      "813", "820", "326", "451", "261", "673", "898", "252", "568",      "299"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994249812573726,      0.968928153382228, 0.959499096972358, 0.954446034395637,      0.861380623291886, 0.86129585435685, 0.794541668419304, 0.686720566047946,      0.581935394094356, 0.579949163080529, 0.552809282698089,      0.516559384370177, 0.507617343330761, 0.366215785588141,      0.275035246397152, 0.272009436330919, 0.248460340647234,      0.000487353089885143, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2166122511 
R squared (OOB):                  0.1466359 

$Forests[[122]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 380000, 430000,      520000, 408000, 410000, 670000, 439000, 648000, 420000, 435000,      5e+05, 5e+05, 565000, 588000, 450000, 440000, 516000, 448000,      560000), floor_area_sqm = c(97, 91, 102, 89, 91, 97, 94,      97, 116, 99, 98, 105, 105, 103, 95, 92, 92, 98, 105, 104),          storey_order = c(3L, 3L, 3L, 3L, 3L, 4L, 6L, 3L, 4L,          3L, 1L, 1L, 2L, 4L, 3L, 1L, 3L, 3L, 1L, 3L), remaining_lease_mths = c(681,          691, 869, 801, 674, 665, 1104, 669, 871, 716, 692, 837,          857, 852, 1025, 679, 677, 698, 866, 851), PROX_CBD = c(9.29171741525155,          9.09613481662016, 8.77938926255451, 8.52269583143835,          8.96374942103709, 8.66747718420982, 8.58683984966127,          8.73211086874077, 8.27332873959955, 9.97053790241166,          8.85689554561162, 8.1677095895917, 8.19182633034048,          8.19182633034048, 8.51090417959469, 8.7589377611275,          8.7589377611275, 8.70928269501252, 8.05276498978228,          7.6651195249001), PROX_ELDERLYCARE = c(0.121888026553089,          0.297153722290783, 0.374310234303432, 0.820777449495704,          0.267188539522683, 0.0441159965049124, 0.203840329735754,          0.292319821872094, 0.354571010374291, 0.115679603991599,          0.272187629818594, 1.20406929281345, 0.444818640633349,          0.444818640633349, 0.120425912751251, 0.169235371196244,          0.169235371196244, 0.119444653145476, 0.599632276485302,          0.216787702409289), PROX_HAWKER = c(0.631142210027013,          0.276770006011078, 0.0530841043788875, 0.712401259368985,          0.393731145214296, 0.357845486047337, 0.433030813326955,          0.436547444862961, 0.610975272844239, 0.499128715987426,          0.446318851105742, 1.05731826075231, 0.553760551741158,          0.553760551741158, 0.166697492306482, 0.330091511745513,          0.330091511745513, 0.281172749103646, 0.560005371648267,          0.778265933598076), PROX_MRT = c(1.65516610461175, 1.2652859093471,          1.18818107396501, 1.68231360215177, 0.71987240697712,          0.874328108605637, 0.751078096441513, 0.600073719023998,          1.0936063211659, 0.460213635694043, 0.372678744867538,          1.50309798042285, 1.08457427678223, 1.08457427678223,          0.608243230971526, 0.338391484905848, 0.338391484905848,          0.379410256905797, 1.12051759514643, 0.910191895307983         ), PROX_PARK = c(0.199649911236163, 0.429900368262469,          0.700959888788064, 0.11043559696871, 0.60552725382935,          0.691303172853456, 0.52118662053352, 0.617507126900098,          0.477465658778908, 0.425125261748846, 0.479885299937475,          0.277033303037393, 0.374102285306053, 0.374102285306053,          0.368529270986479, 0.469340752260783, 0.469340752260783,          0.513364518506117, 0.30128672956265, 0.361681715476141         ), PROX_GOOD_PRISCH = c(0.365175047542414, 0.657187468393487,          0.963274696928036, 0.287100670168393, 1.13785719900195,          1.23754792076915, 1.16640042723588, 1.31940815963163,          0.856939381531897, 1.1615230473897, 1.47413984574199,          0.400680757073332, 0.769163347741007, 0.769163347741007,          1.13331232297991, 1.40615721612308, 1.40615721612308,          1.35677240305411, 0.631981624625733, 0.353240700451805         ), PROX_MALL = c(1.26787190539693, 0.916512124719577,          0.946404029132472, 1.03817238314954, 0.480317195978648,          0.740457696387364, 0.632538285087724, 0.469553394647833,          0.991200103712322, 0.687811479893446, 0.241772845363545,          0.459466565518009, 0.997182626507123, 0.997182626507123,          0.540250505232014, 0.264395031718586, 0.264395031718586,          0.313890580083005, 1.07178760783233, 0.987031177772312         ), PROX_CHAS = c(0.143872847977416, 0.209184408253321,          0.064920565519497, 0.0550867573210672, 0.143131544605207,          0.34300149800099, 0.237191200694799, 0.0664211666443358,          0.413431749899638, 0.354473795917701, 0.157458356405151,          0.622343110317744, 0.311461966699573, 0.311461966699573,          0.0869956868442428, 0.0806835690144568, 0.0806835690144568,          0.112175615725657, 0.167974733321899, 0.371562543403755         ), PROX_SUPERMARKET = c(0.371928496535936, 0.235755012868274,          0.239175324970861, 0.153408018077838, 0.181164390242962,          0.158725757407685, 0.35437102597818, 0.350370254212894,          0.502190497784501, 0.61645520286935, 0.224853982916395,          0.435289148003299, 0.485938543293979, 0.485938543293979,          0.0869967242830128, 0.24726445439454, 0.24726445439454,          0.221335227738319, 0.372458117254617, 0.176585087131714         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 1L, 0L,          1L, 1L, 0L, 0L, 2L, 0L, 0L, 0L, 2L, 2L, 2L, 2L, 3L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L, 3L, 4L, 2L,          5L, 6L, 4L, 1L, 7L, 1L, 2L, 2L, 6L, 8L, 8L, 7L, 3L, 1L         ), WITHIN_350M_BUS = c(9L, 7L, 4L, 6L, 6L, 5L, 4L, 7L,          8L, 10L, 7L, 7L, 7L, 7L, 5L, 6L, 6L, 6L, 5L, 5L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 1L, 2L, 2L, 3L,          3L, 3L, 4L, 1L, 0L), DNeighbour = c(0, 416.640789544451,          689.809017908942, 801.30484601102, 971.860941726941,          1031.78157910311, 1230.86156920113, 1240.64485765296,          1287.26672117903, 1319.79684926538, 1384.82412109616,          1391.84579034331, 1404.69360307492, 1405.559620841, 1487.15775715667,          1511.05804333738, 1513.39553595495, 1523.02628804724,          1561.27141625074, 1731.06356784479)), row.names = c("122",      "715", "606", "588", "692", "331", "149", "842", "795", "359",      "397", "534", "674", "128", "94", "194", "386", "446", "635",      "935"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.887497390295498,      0.70762900215263, 0.617365324641966, 0.46895500041759, 0.415686296526403,      0.2444482515841, 0.236534442020324, 0.199825028198944, 0.175323343191636,      0.129617791017711, 0.12497521770466, 0.116641515130592, 0.116087417742623,      0.0686157864173825, 0.0566596268486211, 0.0555420422477347,      0.0510374949571447, 0.0348009574089384, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5305022857 
R squared (OOB):                  0.238225 

$Forests[[123]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 338000, 342000,      295000, 3e+05, 358000, 358000, 445000, 447888, 443000, 462000,      459000, 410000, 318000, 370000, 345000, 382000, 334008, 430000,      418000), floor_area_sqm = c(103, 104, 106, 84, 84, 104, 103,      93, 93, 93, 93, 93, 101, 90, 102, 90, 93, 103, 92, 92), storey_order = c(3L,      2L, 3L, 4L, 2L, 4L, 4L, 4L, 5L, 5L, 5L, 4L, 3L, 3L, 3L, 5L,      1L, 2L, 5L, 3L), remaining_lease_mths = c(819, 818, 822,      804, 796, 815, 815, 1133, 1137, 1134, 1134, 1138, 936, 968,      927, 937, 1111, 917, 1137, 1134), PROX_CBD = c(13.4421606987754,      13.540845499052, 13.4005544783984, 13.4836212956012, 13.0363382428153,      14.0960645211931, 13.3358607953132, 14.1149653809405, 14.1475961545785,      14.1475961545785, 14.1475961545785, 14.1715462602585, 13.8911800577968,      14.1338242827509, 14.12564920201, 14.2787185061121, 14.29200158436,      14.2719972222741, 14.2919055230493, 14.318757359464), PROX_ELDERLYCARE = c(2.21821379350418,      2.00347240504871, 1.97051284494128, 1.90290557072286, 2.32849407054544,      1.70531999087377, 1.82755511634294, 2.12564955085825, 2.03155968851809,      2.03155968851809, 2.03155968851809, 2.09595649451453, 1.40411939431899,      2.28550514148655, 1.44816412197145, 1.77826193055387, 2.00367987562091,      1.50921581969441, 2.08663557441472, 2.13920478430288), PROX_HAWKER = c(0.414492581023045,      0.326481146247567, 0.12929497730436, 0.2119534509789, 0.273412421583494,      0.845358517598031, 0.304539750383927, 1.06810792734919, 1.0452124348096,      1.0452124348096, 1.0452124348096, 1.11030496241672, 0.687446499339865,      1.19906286300234, 0.778468578249857, 0.865181709866835, 1.05572120633707,      0.684102697062058, 1.13160866269818, 1.17625726432186), PROX_MRT = c(0.190553770403229,      0.080163548628182, 0.190014195795526, 0.193711088781655,      0.403045881609603, 0.217341234217998, 0.127895121346052,      0.282489779359316, 0.206896355650083, 0.206896355650083,      0.206896355650083, 0.236487582928319, 0.241174931861397,      0.414064606154384, 0.476637705223286, 0.14195902454703, 0.129588785375857,      0.347262283963267, 0.215635082050947, 0.277525006355607),          PROX_PARK = c(0.89429546385096, 0.80961064190221, 0.588173355458052,          0.646728518696572, 0.517161111062201, 1.27300714898888,          0.385477438930733, 1.55223981690243, 1.52292224478236,          1.52292224478236, 1.52292224478236, 1.59201213147604,          0.90249149706597, 1.68789157401301, 1.20701221478007,          1.51686048726609, 1.659682039687, 1.38760566459916, 1.71136953372848,          1.77227256709076), PROX_GOOD_PRISCH = c(4.75420572996722,          4.71745369301481, 4.50146177611143, 4.5626858677187,          4.29037325314161, 5.17863906457975, 4.27184313218833,          5.45814117537329, 5.43570837857945, 5.43570837857945,          5.43570837857945, 5.50129862889456, 4.74545729482833,          5.57754198399205, 5.06260566207177, 5.42826997650874,          5.57470277830303, 5.26118802945754, 5.62322031775431,          5.68167095374807), PROX_MALL = c(0.472918799427377, 0.403528889272069,          0.610989928852924, 0.551151307820263, 0.898390579507312,          0.243284841315127, 0.761223886000054, 0.377565489031552,          0.329425359540921, 0.329425359540921, 0.329425359540921,          0.405991175981987, 0.267645090747045, 0.547412994688805,          0.287395381957405, 0.338911837083335, 0.462705775504015,          0.108121271181015, 0.517951444315281, 0.582562895872492         ), PROX_CHAS = c(0.291197842200049, 0.253510567884045,          0.158416400393545, 0.229483689413426, 0.170237474205233,          0.132339190026647, 0.267020330020893, 0.179884741524278,          0.188783823394846, 0.188783823394846, 0.188783823394846,          0.12657377242065, 0.241761013919413, 0.219091723429967,          0.182188888557241, 0.18872293939054, 0.0888572682655253,          0.108121286081234, 3.54155757628082e-08, 0.0707174365033835         ), PROX_SUPERMARKET = c(0.249308161339926, 0.1865280595431,          0.139889213791387, 0.191700628396676, 0.322492439389486,          0.226949559622758, 0.442772380644983, 0.299769914037237,          0.235757849482592, 0.235757849482592, 0.235757849482592,          0.248308073473709, 0.315435463566428, 0.41091265647621,          0.277268812686258, 0.188722783027928, 0.124391003677116,          0.105248463653719, 0.199383936085002, 0.25307995359875         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 2L, 1L,          2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 5L, 4L, 5L, 3L, 7L,          2L, 6L, 6L, 6L, 6L, 5L, 3L, 3L, 3L, 6L, 5L, 4L, 5L, 4L         ), WITHIN_350M_BUS = c(6L, 11L, 10L, 12L, 4L, 9L, 9L,          5L, 6L, 6L, 6L, 5L, 15L, 3L, 10L, 8L, 5L, 10L, 4L, 3L         ), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 3L, 5L, 3L,          4L, 4L, 4L, 4L, 4L, 5L, 3L, 5L, 4L, 4L, 5L, 3L, 3L),          DNeighbour = c(0, 219.060207034217, 372.517577768809,          383.352824653918, 467.835462481259, 682.950175622721,          683.934806556158, 727.474897201224, 727.966749677088,          728.804219917578, 732.305395562174, 779.568992624033,          819.391326915313, 821.513043068001, 823.00783629861,          835.658490125889, 879.894989435002, 889.656115515967,          903.586353852847, 947.668244101403)), row.names = c("123",      "617", "859", "681", "62", "880", "475", "519", "623", "966",      "207", "277", "599", "120", "703", "329", "989", "381", "267",      "58"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.895987973649342,      0.71483872532274, 0.699501069444016, 0.571974333156088, 0.231018386827406,      0.229580023910463, 0.168689061070183, 0.16803492390696, 0.166923044817818,      0.162301000425098, 0.104522606688844, 0.0637050848137903,      0.0617631848863219, 0.0604101641971969, 0.0494707182273205,      0.0190211249213811, 0.014085879098049, 0.00825709738614051,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1412151478 
R squared (OOB):                  0.5317452 

$Forests[[124]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 395000, 365000,      416000, 433000, 315000, 310000, 420000, 370000, 258000, 4e+05,      418000, 428000, 412000, 367000, 4e+05, 4e+05, 420000, 415000,      285000), floor_area_sqm = c(92, 92, 92, 92, 92, 84, 84, 92,      92, 84, 92, 92, 92, 92, 92, 92, 92, 92, 93, 84), storey_order = c(5L,      2L, 1L, 4L, 4L, 3L, 2L, 5L, 1L, 1L, 2L, 5L, 4L, 5L, 1L, 2L,      3L, 3L, 4L, 3L), remaining_lease_mths = c(1144, 1146, 1137,      1140, 1130, 804, 811, 1143, 1146, 781, 1130, 1138, 1140,      1144, 1137, 1137, 1143, 1144, 1141, 776), PROX_CBD = c(15.9533618390172,      16.0046521285213, 16.0046521285213, 16.055983361932, 16.055983361932,      15.9050437012323, 15.7493840144196, 16.1537572283104, 15.87024444961,      16.1631400386504, 16.1976566517324, 16.0903666266177, 16.1831859860721,      16.0903666266177, 16.0903666266177, 16.0475930141239, 16.0475930141239,      15.9392575628934, 15.719551353229, 16.2311391435218), PROX_ELDERLYCARE = c(0.251148223850536,      0.20718686492254, 0.20718686492254, 0.146417557277997, 0.146417557277997,      0.346730428331521, 0.392042381698264, 0.0462823216560119,      0.10693627682917, 0.194171564025932, 9.89208662673193e-07,      0.179967723198436, 0.0701319802482612, 0.179967723198436,      0.179967723198436, 0.129564145964732, 0.129564145964732,      0.0436662178849567, 0.251997184681221, 0.252142982647588),          PROX_HAWKER = c(0.802087399746937, 0.855932206484513,          0.855932206484513, 0.897672222950446, 0.897672222950446,          0.79668564149145, 0.617009737136425, 0.986028325459381,          0.694651515851724, 1.03995728027003, 1.03146250928298,          0.9143232220583, 1.00994702859189, 0.9143232220583, 0.9143232220583,          0.872301448799324, 0.872301448799324, 0.765854363537175,          0.543607139892928, 1.12300848995143), PROX_MRT = c(0.8851452059773,          0.883219311345816, 0.883219311345816, 0.936151237003446,          0.936151237003446, 0.750476153315833, 0.825478596695925,          1.02112351286352, 1.09555222562317, 0.842728374229233,          1.02706758196582, 1.13213387762555, 1.08237519657155,          1.13213387762555, 1.13213387762555, 1.14436247830993,          1.14436247830993, 1.14464062157712, 1.04322565796881,          0.830985280221221), PROX_PARK = c(0.589052524814441,          0.619767633008914, 0.619767633008914, 0.683762717294504,          0.683762717294504, 0.475878847958935, 0.423881452963658,          0.793519520304926, 0.707790886000148, 0.707513815343702,          0.822565203699192, 0.83568858459355, 0.848434833813522,          0.83568858459355, 0.83568858459355, 0.824988291997923,          0.824988291997923, 0.777956069134633, 0.60075194434184,          0.723677668737743), PROX_GOOD_PRISCH = c(6.52939634907869,          6.57618460349959, 6.57618460349959, 6.63421015362065,          6.63421015362065, 6.45664561130608, 6.32317863359129,          6.74044920052795, 6.49806658702102, 6.70927938580052,          6.78043949525415, 6.70919168347838, 6.78038310261662,          6.70919168347838, 6.70919168347838, 6.67335529701902,          6.67335529701902, 6.57394481891556, 6.34176102939636,          6.76533990958697), PROX_MALL = c(0.161178852361569, 0.110811660449771,          0.110811660449771, 0.118546137622893, 0.118546137622893,          0.18299798168314, 0.340817581482914, 0.180580587241737,          0.388975340293238, 0.0870960802892481, 0.189710317758296,          0.311149009276151, 0.241735562355662, 0.311149009276151,          0.311149009276151, 0.339403259296736, 0.339403259296736,          0.391567182053879, 0.460595397283409, 0.175221521556568         ), PROX_CHAS = c(0.165813590617473, 0.114687044901222,          0.114687044901222, 0.110329053122027, 0.110329053122027,          0.190026772642962, 0.347229964463676, 0.0922372285822684,          0.140210421841136, 0.081875317774622, 0.0868060808909073,          0.215238065300109, 0.148113838308576, 0.215238065300109,          0.215238065300109, 0.16574506375663, 0.16574506375663,          0.0895372628546906, 0.269388612247007, 0.170601730776313         ), PROX_SUPERMARKET = c(0.162291812321236, 0.112847248683738,          0.112847248683738, 0.123371553336512, 0.123371553336512,          0.179336240856332, 2.98731019421495e-07, 0.186806037215644,          0.287679129281494, 0.0873208554119548, 0.195853508350489,          0.316789996913415, 0.247969406526707, 0.316789996913415,          0.316789996913415, 0.344658205065017, 0.344658205065017,          0.354688671920554, 0.219989756424723, 0.137275095711229         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 4L,          5L, 8L, 4L, 6L, 8L, 2L, 7L, 2L, 2L, 2L, 2L, 3L, 5L, 5L         ), WITHIN_350M_BUS = c(8L, 7L, 7L, 7L, 7L, 8L, 7L, 7L,          8L, 11L, 7L, 8L, 7L, 8L, 8L, 9L, 9L, 9L, 5L, 10L), WITHIN_1KM_PRISCH = c(5L,          5L, 5L, 5L, 5L, 6L, 6L, 4L, 4L, 5L, 5L, 4L, 4L, 4L, 4L,          4L, 4L, 4L, 3L, 5L), DNeighbour = c(0, 52.8956826186656,          53.0300046173283, 101.375674194, 102.903500534106, 134.401555091494,          204.532218896988, 207.168832989311, 244.275264564756,          244.840930435102, 252.608958317123, 254.509258673657,          256.710302479281, 258.827795559226, 259.326004411894,          262.652585552729, 262.963283698666, 269.934978084005,          307.214623037894, 335.903907209639)), row.names = c("124",      "408", "594", "538", "741", "59", "956", "869", "582", "872",      "427", "249", "661", "919", "161", "440", "28", "517", "698",      "945"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.951019644040505,      0.950773712072901, 0.826130084932587, 0.821109424545152,      0.705439970667584, 0.395942467084075, 0.383927800367306,      0.221986493686324, 0.219681851196427, 0.188750900720866,      0.18140261742021, 0.173007178135235, 0.165052288892622, 0.163198517465862,      0.151001409082527, 0.149878646420475, 0.125467988582457,      0.0267399904985463, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       941830989 
R squared (OOB):                  0.6376972 

$Forests[[125]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 392000, 343000,      335000, 3e+05, 320000, 335000, 325000, 330000, 297000, 314000,      315000, 417000, 388000, 340888, 355000, 363000, 335000, 333000,      385000), floor_area_sqm = c(108, 113, 107, 105, 106, 91,      90, 90, 91, 90, 91, 90, 92, 104, 107, 104, 104, 114, 108,      104), storey_order = c(2L, 2L, 2L, 2L, 2L, 8L, 3L, 5L, 1L,      2L, 3L, 5L, 2L, 6L, 4L, 4L, 5L, 3L, 4L, 1L), remaining_lease_mths = c(909,      933, 907, 938, 941, 995, 979, 992, 987, 995, 985, 1001, 1120,      904, 883, 882, 918, 904, 895, 863), PROX_CBD = c(16.9875722318911,      16.6579104452557, 17.2160129653012, 17.3741762112269, 17.3741762112269,      16.7093180086981, 17.0600275230943, 17.2610384590751, 17.2817356498826,      16.901501451739, 17.0716695500607, 16.8082045368238, 16.7161737209409,      16.3777502460772, 16.7669966667855, 16.7669966667855, 16.295166477654,      16.3642048862006, 16.5397910410307, 16.2492480828887), PROX_ELDERLYCARE = c(0.636322412867891,      0.409372351007212, 0.574386357445605, 0.815153211361198,      0.815153211361198, 0.935779967581661, 1.09431476347566, 1.12094638660826,      1.19353475005496, 1.16689850532437, 1.21621641692937, 1.15380285023885,      9.26628957858198e-07, 0.465083314136851, 0.121542639162494,      0.121542639162494, 0.514795208711411, 0.361422596457277,      0.706939892416911, 0.836071823435323), PROX_HAWKER = c(2.10596394293278,      1.80129318596364, 2.37357884684332, 2.50067722531469, 2.50067722531469,      1.82495077083007, 2.18272534115171, 2.37726799660773, 2.40388099430384,      2.0413146444202, 2.2102134433082, 1.94950915107796, 1.96687058888139,      1.54627052523026, 2.05474291859885, 2.05474291859885, 1.47281657351752,      1.67761333691466, 2.14655926815246, 2.17952287051713), PROX_MRT = c(0.252669932820992,      0.128609360773056, 0.453815632281196, 0.590831178240684,      0.590831178240684, 0.522077155701705, 0.673816738147829,      0.729621307242001, 0.797812759521718, 0.740013435080822,      0.793158171270894, 0.730447684580082, 0.427108887982576,      0.419412974707088, 0.53300655679357, 0.53300655679357, 0.504795745143921,      0.653367521351592, 0.460645764817668, 0.290093838525113),          PROX_PARK = c(1.18807543108152, 0.826869373992433, 1.24959985284921,          1.47164498360674, 1.47164498360674, 1.17885821480356,          1.5130077643247, 1.64853798443183, 1.70244245234235,          1.46267930314228, 1.59669720594139, 1.39545287332227,          0.688779163701323, 0.571339732684777, 0.722711239268322,          0.722711239268322, 0.48638578612152, 0.32735774848914,          0.711243459523284, 0.886796559947336), PROX_GOOD_PRISCH = c(7.55033959010056,          7.18541951227303, 7.68034428555912, 7.888904100652, 7.888904100652,          7.40748446052123, 7.76907239486735, 7.93716312588154,          7.98012169831377, 7.66085245964853, 7.82238149093771,          7.5739079893598, 7.12110535783693, 6.89348817522951,          7.13952904562396, 7.13952904562396, 6.80828229467371,          6.76031366250815, 6.77397603493671, 6.4097782056775),          PROX_MALL = c(0.165557901737932, 0.168053149288668, 0.413606644895247,          0.521008948961951, 0.521008948961951, 0.484270435079706,          0.597930181439745, 0.644198936007264, 0.713200150273906,          0.678684538412688, 0.719585865775528, 0.677813655888015,          0.337595745740984, 0.427317836890542, 0.27529824968273,          0.27529824968273, 0.510483215269896, 0.388175183991252,          0.345326846187852, 0.355568776497803), PROX_CHAS = c(0.194474796894964,          0.170995488718356, 0.303266380929536, 0.524369302913132,          0.524369302913132, 0.52365796939069, 0.638199243310692,          0.678651577140463, 0.748586514709626, 0.720584477651296,          0.760340467100735, 0.71936188995133, 0.279591917356114,          0.429996386722335, 0.222759343861358, 0.222759343861358,          0.513107963149175, 0.380772978950647, 0.286223989121013,          0.121251060497272), PROX_SUPERMARKET = c(0.284398337107734,          0.103652200866821, 0.387759857324111, 0.559408220033625,          0.559408220033625, 0.555366708418936, 0.718466194952364,          0.771245719522698, 0.842475689687135, 0.780695486504835,          0.837223205851576, 0.768274584157999, 0.344537051235884,          0.386156989530241, 0.243987988302975, 0.243987988302975,          0.471223408024363, 0.422789252098693, 0.377165028023417,          0.350013224352412), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 2L,          2L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 5L,          5L, 4L, 4L, 1L, 2L, 3L, 3L, 1L, 2L, 1L, 6L, 3L, 5L, 5L,          3L, 4L, 1L, 4L), WITHIN_350M_BUS = c(11L, 9L, 5L, 2L,          2L, 8L, 7L, 5L, 5L, 7L, 5L, 9L, 12L, 8L, 11L, 11L, 7L,          6L, 2L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L,          3L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 3L, 3L, 3L, 3L, 3L,          3L), DNeighbour = c(0, 371.688844584245, 378.696144692161,          404.470359300292, 405.010011423579, 457.823364427331,          470.687984930128, 488.076902564704, 557.2235446912, 585.723359102,          599.520715822762, 601.830214245025, 634.402134842384,          657.862663210988, 724.138794831745, 727.799031182443,          742.421128658624, 901.377257212741, 1339.02404142085,          1774.69106868697)), row.names = c("125", "918", "326",      "822", "813", "156", "208", "525", "127", "416", "431", "121",      "261", "820", "673", "898", "451", "252", "498", "711"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.914195028084422, 0.911005257679063, 0.898811883545289,      0.89854891287476, 0.871328239379219, 0.864262194516724, 0.854448021712192,      0.81254795900246, 0.794009295031923, 0.784782863091289, 0.783222840833765,      0.760757021449636, 0.744057899650578, 0.694732561915906,      0.69192253407347, 0.680613650457252, 0.550609877375288, 0.185513738870758,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       596477604 
R squared (OOB):                  0.4353419 

$Forests[[126]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(476000, 475000, 537000,      5e+05, 620000, 510000, 407000, 375000, 355000, 685000, 753000,      680000, 680000, 8e+05, 748000, 945500, 912000, 7e+05, 755000,      1023801), floor_area_sqm = c(103, 103, 106, 103, 103, 93,      82, 82, 82, 93, 87, 91, 85, 90, 107, 87, 87, 93, 90, 95),          storey_order = c(2L, 2L, 4L, 1L, 2L, 4L, 5L, 3L, 2L,          4L, 5L, 3L, 2L, 7L, 2L, 8L, 3L, 1L, 2L, 13L), remaining_lease_mths = c(774,          781, 760, 773, 911, 746, 661, 645, 656, 1115, 1104, 984,          1066, 1063, 899, 1143, 1142, 625, 983, 1085), PROX_CBD = c(3.09516181063763,          3.09516181063763, 3.12641734116327, 3.24578829573265,          2.86182045335715, 3.46549777590634, 3.63085360417079,          3.68559345068932, 3.73116287154914, 2.56060478168524,          2.5775653440094, 2.86455481676114, 2.96405104980333,          2.97610984462207, 2.52364731081334, 2.51922626320824,          2.51922626320824, 2.09358084499411, 2.01305703462688,          1.64296215322618), PROX_ELDERLYCARE = c(0.614909460801077,          0.614909460801077, 0.570344367187993, 0.461566734593474,          0.334062202372697, 0.22080460703487, 0.233260955843543,          0.466665237090727, 0.501456868829436, 0.303984777605612,          0.283170941801308, 0.111411798512938, 0.206690358794928,          0.249991250520312, 0.132133546591398, 1.25853619714168e-06,          1.25853619714168e-06, 0.442569764285143, 0.301111196915018,          0.294850727643248), PROX_HAWKER = c(0.524942013349153,          0.524942013349153, 0.582032517556358, 0.461305554076076,          0.231089093207534, 0.288924403117312, 0.0974836441417274,          0.28293755865871, 0.311969910328466, 0.450094806637729,          0.447120961378381, 0.302651224916382, 0.344572110572533,          0.405863058813757, 0.315417458803045, 0.187177165934232,          0.187177165934232, 0.103399879312882, 0.439754799726314,          0.280083683397779), PROX_MRT = c(1.19880844528061, 1.19880844528061,          1.19588154804183, 1.11057161001852, 0.819080841065402,          0.855873415641472, 0.897060452829867, 1.17490863944549,          1.10221151459309, 0.546591463865751, 0.499107329029013,          0.391395986196982, 0.377919714857806, 0.337225216160626,          0.277076743329557, 0.243725266054354, 0.243725266054354,          0.681532284353367, 0.650763936895186, 0.262926729358016         ), PROX_PARK = c(0.971409228458194, 0.971409228458194,          0.971029675538415, 0.856773721705297, 0.609617368578913,          0.78484111030831, 0.512523364266062, 0.304435062988112,          0.271761978726623, 0.21329655328302, 0.18481391877062,          0.399002951856213, 0.495024008458079, 0.4671588721782,          0.163253442595557, 0.28862748451296, 0.28862748451296,          0.400473707610266, 0.806729342800227, 0.366095429090919         ), PROX_GOOD_PRISCH = c(5.46565510857314, 5.46565510857314,          5.52416256345089, 5.51078547454581, 5.1514664212482,          5.67094725420518, 5.4842432173218, 5.15997579188296,          5.22570836776045, 4.93746215949662, 4.89009258041755,          4.71207116352008, 4.62297298452196, 4.56048774292729,          4.61812725480087, 4.50145006484821, 4.50145006484821,          4.81109980295855, 6.32589195448141, 6.02306971378175),          PROX_MALL = c(1.2281628510896, 1.2281628510896, 1.29251563056945,          1.33172083977874, 0.848351644608041, 1.56665946009711,          1.51733094855201, 1.3376464242075, 1.41171259857663,          0.572150632107275, 0.524781909718914, 0.420489734799516,          0.404565296260845, 0.362094853274792, 0.290995843291254,          0.244046547559164, 0.244046547559164, 0.685370188976197,          0.368960166061844, 0.44820920236387), PROX_CHAS = c(0.240903750709302,          0.240903750709302, 0.202999736112437, 0.0869328465249217,          0.159666076311523, 0.173647795570322, 0.318203164684035,          0.216565147674259, 0.261237260735983, 0.0640474788759872,          0.0301364724824846, 0.110042750971165, 0.0506108453744785,          0.111500209373212, 0.0122221533760307, 0.0462846720247782,          0.0462846720247782, 0.165994533154508, 0.298496878246672,          0.0951865321113252), PROX_SUPERMARKET = c(0.240902416159861,          0.240902416159861, 0.202998478162502, 0.0869315055470345,          0.360029455717415, 0.173649067116538, 0.318204198369299,          0.252487697752149, 0.301923436189205, 0.315915165677582,          0.275738565320567, 0.110042446678578, 0.0506107476035619,          0.111500172768761, 0.0373112013983995, 0.169442491353445,          0.169442491353445, 0.346795592234613, 0.364789845186166,          0.28799517805095), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L,          0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L,          2L, 3L, 1L, 1L, 3L, 3L, 4L, 4L, 4L, 3L, 3L, 6L, 4L, 4L,          4L, 4L, 6L), WITHIN_350M_BUS = c(4L, 4L, 5L, 6L, 4L,          9L, 11L, 10L, 9L, 3L, 3L, 7L, 7L, 4L, 6L, 4L, 4L, 7L,          10L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 2L, 3L, 2L,          2L, 2L, 2L, 3L, 2L, 4L, 4L, 3L, 2L, 2L, 2L, 1L, 1L, 1L         ), DNeighbour = c(0, 5.8323216640629, 63.012790985081,          151.030416216185, 392.047136144191, 406.404807849291,          541.156562730705, 685.190906434133, 701.96130837767,          782.244606421266, 810.80794475012, 811.346476321085,          869.556795670149, 931.011084531035, 1113.51054136369,          1234.4582005112, 1238.49978913931, 1321.7615405357, 1485.903557601,          1581.03823165456)), row.names = c("126", "134", "48",      "192", "561", "454", "742", "683", "432", "390", "999", "968",      "389", "319", "65", "816", "550", "824", "567", "91"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999972783941282, 0.996825629460495, 0.981832798366761,      0.880804385994106, 0.872217110942241, 0.779415157294452,      0.659638740067512, 0.644608338919324, 0.570336407151548,      0.543173017927987, 0.542658009034818, 0.486520062810261,      0.426726706391464, 0.253990390835724, 0.152386869688604,      0.149281180403555, 0.0906549712077656, 0.0136244584188001,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9911461108 
R squared (OOB):                  0.7283069 

$Forests[[127]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 325000, 335000,      314000, 297000, 315000, 375000, 320000, 335000, 3e+05, 343000,      392000, 388000, 417000, 363000, 340888, 355000, 335000, 333000,      450000), floor_area_sqm = c(91, 90, 90, 91, 90, 90, 108,      91, 105, 106, 107, 113, 104, 92, 104, 107, 104, 114, 108,      93), storey_order = c(1L, 5L, 3L, 3L, 2L, 5L, 2L, 8L, 2L,      2L, 2L, 2L, 6L, 2L, 5L, 4L, 4L, 3L, 4L, 4L), remaining_lease_mths = c(987,      992, 979, 985, 995, 1001, 909, 995, 938, 941, 907, 933, 904,      1120, 918, 883, 882, 904, 895, 1131), PROX_CBD = c(17.2817356498826,      17.2610384590751, 17.0600275230943, 17.0716695500607, 16.901501451739,      16.8082045368238, 16.9875722318911, 16.7093180086981, 17.3741762112269,      17.3741762112269, 17.2160129653012, 16.6579104452557, 16.3777502460772,      16.7161737209409, 16.295166477654, 16.7669966667855, 16.7669966667855,      16.3642048862006, 16.5397910410307, 15.1194109037639), PROX_ELDERLYCARE = c(1.19353475005496,      1.12094638660826, 1.09431476347566, 1.21621641692937, 1.16689850532437,      1.15380285023885, 0.636322412867891, 0.935779967581661, 0.815153211361198,      0.815153211361198, 0.574386357445605, 0.409372351007212,      0.465083314136851, 9.26628957858198e-07, 0.514795208711411,      0.121542639162494, 0.121542639162494, 0.361422596457277,      0.706939892416911, 0.632846087105322), PROX_HAWKER = c(2.40388099430384,      2.37726799660773, 2.18272534115171, 2.2102134433082, 2.0413146444202,      1.94950915107796, 2.10596394293278, 1.82495077083007, 2.50067722531469,      2.50067722531469, 2.37357884684332, 1.80129318596364, 1.54627052523026,      1.96687058888139, 1.47281657351752, 2.05474291859885, 2.05474291859885,      1.67761333691466, 2.14655926815246, 0.399490681633122), PROX_MRT = c(0.797812759521718,      0.729621307242001, 0.673816738147829, 0.793158171270894,      0.740013435080822, 0.730447684580082, 0.252669932820992,      0.522077155701705, 0.590831178240684, 0.590831178240684,      0.453815632281196, 0.128609360773056, 0.419412974707088,      0.427108887982576, 0.504795745143921, 0.53300655679357, 0.53300655679357,      0.653367521351592, 0.460645764817668, 0.674936552563307),          PROX_PARK = c(1.70244245234235, 1.64853798443183, 1.5130077643247,          1.59669720594139, 1.46267930314228, 1.39545287332227,          1.18807543108152, 1.17885821480356, 1.47164498360674,          1.47164498360674, 1.24959985284921, 0.826869373992433,          0.571339732684777, 0.688779163701323, 0.48638578612152,          0.722711239268322, 0.722711239268322, 0.32735774848914,          0.711243459523284, 0.773048101136696), PROX_GOOD_PRISCH = c(7.98012169831377,          7.93716312588154, 7.76907239486735, 7.82238149093771,          7.66085245964853, 7.5739079893598, 7.55033959010056,          7.40748446052123, 7.888904100652, 7.888904100652, 7.68034428555912,          7.18541951227303, 6.89348817522951, 7.12110535783693,          6.80828229467371, 7.13952904562396, 7.13952904562396,          6.76031366250815, 6.77397603493671, 5.74516136190441),          PROX_MALL = c(0.713200150273906, 0.644198936007264, 0.597930181439745,          0.719585865775528, 0.678684538412688, 0.677813655888015,          0.165557901737932, 0.484270435079706, 0.521008948961951,          0.521008948961951, 0.413606644895247, 0.168053149288668,          0.427317836890542, 0.337595745740984, 0.510483215269896,          0.27529824968273, 0.27529824968273, 0.388175183991252,          0.345326846187852, 0.744876648240093), PROX_CHAS = c(0.748586514709626,          0.678651577140463, 0.638199243310692, 0.760340467100735,          0.720584477651296, 0.71936188995133, 0.194474796894964,          0.52365796939069, 0.524369302913132, 0.524369302913132,          0.303266380929536, 0.170995488718356, 0.429996386722335,          0.279591917356114, 0.513107963149175, 0.222759343861358,          0.222759343861358, 0.380772978950647, 0.286223989121013,          0.0812821875339188), PROX_SUPERMARKET = c(0.842475689687135,          0.771245719522698, 0.718466194952364, 0.837223205851576,          0.780695486504835, 0.768274584157999, 0.284398337107734,          0.555366708418936, 0.559408220033625, 0.559408220033625,          0.387759857324111, 0.103652200866821, 0.386156989530241,          0.344537051235884, 0.471223408024363, 0.243987988302975,          0.243987988302975, 0.422789252098693, 0.377165028023417,          0.325050502595441), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L,          2L, 2L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          2L, 2L, 1L, 1L, 4L, 1L, 4L, 4L, 5L, 5L, 3L, 6L, 3L, 5L,          5L, 4L, 1L, 3L), WITHIN_350M_BUS = c(5L, 5L, 7L, 5L,          7L, 9L, 11L, 8L, 2L, 2L, 5L, 9L, 8L, 12L, 7L, 11L, 11L,          6L, 2L, 12L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L,          2L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L,          3L), DNeighbour = c(0, 72.3742946475518, 223.946737680331,          250.631907508478, 396.077279133145, 489.606256490724,          557.2235446912, 582.521295104953, 586.206960982509, 589.636730293215,          781.00427359762, 896.302361197407, 1156.5330833745, 1189.96195863565,          1232.81702954932, 1273.11831950911, 1276.65016521067,          1449.87192043464, 1889.87020155927, 2244.83747564072)), row.names = c("127",      "525", "208", "431", "416", "121", "125", "156", "822", "813",      "326", "918", "820", "261", "451", "673", "898", "252", "498",      "299"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.997922203041353,      0.98019462007154, 0.975224773726455, 0.938707558559653, 0.907124791372065,      0.880565700859832, 0.869860259660861, 0.868266527353222,      0.866775743489483, 0.772566714140251, 0.706576915799695,      0.539596401552086, 0.516970278168957, 0.487766338473, 0.46017462711215,      0.457753310524952, 0.339717232726626, 0.0848255406150207,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1088027438 
R squared (OOB):                  0.294409 

$Forests[[128]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(565000, 5e+05, 648000,      448000, 670000, 410000, 588000, 630000, 638000, 439000, 560000,      485000, 516000, 548000, 430000, 440000, 450000, 430000, 435000,      408000), floor_area_sqm = c(103, 105, 116, 105, 94, 97, 95,      102, 102, 97, 104, 103, 98, 95, 102, 92, 92, 93, 98, 91),          storey_order = c(4L, 2L, 4L, 1L, 6L, 4L, 3L, 6L, 9L,          3L, 3L, 2L, 3L, 2L, 3L, 3L, 1L, 3L, 1L, 3L), remaining_lease_mths = c(852,          857, 871, 866, 1104, 665, 1025, 870, 869, 669, 851, 855,          698, 981, 869, 677, 679, 728, 692, 674), PROX_CBD = c(8.19182633034048,          8.19182633034048, 8.27332873959955, 8.05276498978228,          8.58683984966127, 8.66747718420982, 8.51090417959469,          7.86314261154951, 7.86314261154951, 8.73211086874077,          7.6651195249001, 7.70120549943486, 8.70928269501252,          8.37940280964872, 8.77938926255451, 8.7589377611275,          8.7589377611275, 8.20083785223568, 8.85689554561162,          8.96374942103709), PROX_ELDERLYCARE = c(0.444818640633349,          0.444818640633349, 0.354571010374291, 0.599632276485302,          0.203840329735754, 0.0441159965049124, 0.120425912751251,          0.731462959428347, 0.731462959428347, 0.292319821872094,          0.216787702409289, 0.883817181840043, 0.119444653145476,          0.335901694998922, 0.374310234303432, 0.169235371196244,          0.169235371196244, 0.41240614163537, 0.272187629818594,          0.267188539522683), PROX_HAWKER = c(0.553760551741158,          0.553760551741158, 0.610975272844239, 0.560005371648267,          0.433030813326955, 0.357845486047337, 0.166697492306482,          0.573870222021737, 0.573870222021737, 0.436547444862961,          0.778265933598076, 0.72907919143595, 0.281172749103646,          0.203869560106314, 0.0530841043788875, 0.330091511745513,          0.330091511745513, 0.35604829505958, 0.446318851105742,          0.393731145214296), PROX_MRT = c(1.08457427678223, 1.08457427678223,          1.0936063211659, 1.12051759514643, 0.751078096441513,          0.874328108605637, 0.608243230971526, 0.85984195598231,          0.85984195598231, 0.600073719023998, 0.910191895307983,          0.692418360175919, 0.379410256905797, 0.62312262100292,          1.18818107396501, 0.338391484905848, 0.338391484905848,          0.805467939952349, 0.372678744867538, 0.71987240697712         ), PROX_PARK = c(0.374102285306053, 0.374102285306053,          0.477465658778908, 0.30128672956265, 0.52118662053352,          0.691303172853456, 0.368529270986479, 0.281207712521794,          0.281207712521794, 0.617507126900098, 0.361681715476141,          0.450335295656325, 0.513364518506117, 0.394842599629624,          0.700959888788064, 0.469340752260783, 0.469340752260783,          0.393072899865764, 0.479885299937475, 0.60552725382935         ), PROX_GOOD_PRISCH = c(0.769163347741007, 0.769163347741007,          0.856939381531897, 0.631981624625733, 1.16640042723588,          1.23754792076915, 1.13331232297991, 0.562813849840511,          0.562813849840511, 1.31940815963163, 0.353240700451805,          0.490611064856358, 1.35677240305411, 1.14854892992093,          0.963274696928036, 1.40615721612308, 1.40615721612308,          1.04754826657838, 1.47413984574199, 1.13785719900195),          PROX_MALL = c(0.997182626507123, 0.997182626507123, 0.991200103712322,          1.07178760783233, 0.632538285087724, 0.740457696387364,          0.540250505232014, 0.943364056194349, 0.943364056194349,          0.469553394647833, 0.987031177772312, 0.779066462317335,          0.313890580083005, 0.651389947232486, 0.946404029132472,          0.264395031718586, 0.264395031718586, 0.844084234929545,          0.241772845363545, 0.480317195978648), PROX_CHAS = c(0.311461966699573,          0.311461966699573, 0.413431749899638, 0.167974733321899,          0.237191200694799, 0.34300149800099, 0.0869956868442428,          0.201852081003395, 0.201852081003395, 0.0664211666443358,          0.371562543403755, 0.0405139203460024, 0.112175615725657,          0.11938167830482, 0.064920565519497, 0.0806835690144568,          0.0806835690144568, 0.0460460495231756, 0.157458356405151,          0.143131544605207), PROX_SUPERMARKET = c(0.485938543293979,          0.485938543293979, 0.502190497784501, 0.372458117254617,          0.35437102597818, 0.158725757407685, 0.0869967242830128,          0.115543350477338, 0.115543350477338, 0.350370254212894,          0.176585087131714, 0.0588346413192393, 0.221335227738319,          0.282093113359979, 0.239175324970861, 0.24726445439454,          0.24726445439454, 0.436961702644775, 0.224853982916395,          0.181164390242962), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 3L, 1L, 0L, 2L, 4L, 4L, 1L, 0L, 4L, 2L, 1L, 1L,          2L, 2L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          4L, 3L, 5L, 2L, 6L, 3L, 3L, 6L, 1L, 4L, 7L, 4L, 2L, 8L,          8L, 2L, 7L, 4L), WITHIN_350M_BUS = c(7L, 7L, 8L, 5L,          4L, 5L, 5L, 2L, 2L, 7L, 5L, 4L, 6L, 6L, 4L, 6L, 6L, 7L,          7L, 6L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L, 2L, 2L,          3L, 2L, 2L, 3L, 0L, 2L, 4L, 3L, 2L, 3L, 3L, 2L, 3L, 2L         ), DNeighbour = c(0, 7.01855873698456, 118.496863827651,          157.699394650271, 415.608356712899, 483.360740018441,          483.904426177315, 508.622989341543, 509.068018457076,          576.535877530755, 581.263082670937, 662.282069056505,          704.878084770065, 714.471686104337, 720.017667359308,          749.936110519665, 752.25412186788, 761.834168967378,          769.704357158614, 780.865379609875)), row.names = c("128",      "674", "795", "635", "149", "331", "94", "476", "931", "842",      "935", "811", "446", "998", "606", "386", "194", "79", "397",      "692"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999838431760303,      0.954473754685697, 0.920092110220981, 0.513687285139665,      0.380480435450508, 0.379417189045377, 0.331468057439629,      0.330613339881432, 0.206906423577183, 0.198821127029282,      0.0787705502838296, 0.0342819053144551, 0.026511065456434,      0.0224324929108175, 0.00602937634907279, 0.00517512973586671,      0.00231841332161248, 0.000805537748162326, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6623378687 
R squared (OOB):                  0.1344002 

$Forests[[129]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(333000, 330000, 360000,      325000, 325000, 360000, 361000, 4e+05, 335000, 328000, 388000,      330000, 345000, 398000, 309000, 395000, 370000, 368000, 348000,      408000), floor_area_sqm = c(84, 84, 104, 85, 84, 103, 84,      103, 84, 84, 100, 84, 91, 100, 91, 101, 98, 100, 93, 100),          storey_order = c(3L, 3L, 2L, 1L, 5L, 1L, 4L, 3L, 2L,          4L, 4L, 4L, 3L, 2L, 2L, 4L, 2L, 2L, 4L, 4L), remaining_lease_mths = c(823,          791, 804, 830, 812, 798, 794, 796, 796, 806, 922, 806,          773, 924, 774, 936, 912, 923, 777, 921), PROX_CBD = c(9.85122377146013,          9.73525531751342, 10.0879656312395, 10.1989356004427,          9.87023127008802, 10.1540744969693, 10.1908965186918,          10.2571858212528, 10.2571858212528, 10.2439629519707,          10.3133134299625, 9.63621863936401, 9.63489497584329,          10.2027088676681, 9.64616581570663, 10.5347600839054,          10.6430674352334, 10.5911430304609, 9.5834162789491,          10.7481925626994), PROX_ELDERLYCARE = c(0.999223533815273,          0.869795033999967, 1.31022889057949, 1.08623091115154,          1.35138892750767, 0.85844301108046, 0.891997547710976,          0.969336561855173, 0.969336561855173, 0.904720646157319,          1.4124150938613, 1.48805339077067, 0.42629854090558,          1.63738856945076, 0.306199433665808, 1.31633228018286,          1.10983952182968, 1.2745451415541, 0.221128007339761,          1.00181077128688), PROX_HAWKER = c(0.526313717816828,          0.687117415591119, 0.196699811405185, 0.368744432216956,          0.410023469086153, 0.614574465644474, 0.594526114354717,          0.543600998034675, 0.543600998034675, 0.616195579705155,          0.0623262564011618, 0.677896697868769, 0.908741650371918,          0.264427923442986, 0.906506968115566, 0.259744380023822,          0.494234864614673, 0.314632743063994, 0.844035637065003,          0.591883114810231), PROX_MRT = c(0.907717901248049, 0.86810604264512,          1.09046737609619, 0.78040997284139, 1.23646610314009,          0.544743966599557, 0.554399001312584, 0.5984056038899,          0.5984056038899, 0.52596302633555, 1.09471398918577,          1.32502198166586, 0.669484450879797, 1.392302848886,          0.626377719466395, 1.15842683571226, 0.91242151857363,          1.14211364891441, 0.679762822214213, 0.80807654444201         ), PROX_PARK = c(0.510337594738446, 0.452373350223662,          0.604882226694947, 0.808282577864154, 0.375073916060521,          0.578916018382343, 0.61263038213259, 0.690393008756984,          0.690393008756984, 0.626908579085899, 0.826294351272671,          0.202594030185392, 0.197084482081202, 0.728383914708498,          0.106198450905693, 1.00657829367171, 1.09293299728603,          0.997953552798557, 0.171128410914521, 1.13130385684233         ), PROX_GOOD_PRISCH = c(1.05242409875061, 1.15234422615158,          0.87937610392538, 1.199846441039, 0.706117631385061,          1.40445923276907, 1.40421671412888, 1.38840710840139,          1.38840710840139, 1.44855804010835, 0.993301788551023,          0.53169554186008, 1.59153495480405, 0.689163418131917,          1.71137279935344, 1.12709017589061, 1.4206810513637,          1.15731102426836, 1.81796659730331, 1.51127824976447),          PROX_MALL = c(0.756051767526383, 0.907839978504126, 0.441232897113797,          0.663851500718272, 0.445899708163642, 0.685950169481642,          0.685823836221668, 0.638527944164543, 0.638527944164543,          0.644656189163291, 0.450275200033962, 0.564979440463645,          0.873569112263515, 0.12742430838485, 0.808294932987377,          0.464767570965945, 0.220538248250442, 0.441630162720786,          0.812301361871699, 0.114469773448463), PROX_CHAS = c(3.39583191183935e-08,          0.116614388177292, 0.177420148260447, 0.0710453772718398,          0.0764125853219005, 0.170954716034814, 0.151788880767358,          0.0819899420632749, 0.0819899420632749, 0.155315138624813,          0.071192987667569, 0.204909081807225, 0.454068185577158,          0.127424254451578, 0.415210445937219, 0.272565000598528,          0.0703959269798554, 0.327465416824022, 0.334146331647452,          0.0793642323922721), PROX_SUPERMARKET = c(0.350225948243757,          0.458729641056945, 0.320748009942088, 0.00115080458448496,          0.158655939798418, 0.171715993026927, 0.152401712794372,          0.123486578338512, 0.123486578338512, 0.18505229065347,          0.330151298165832, 0.145410708854306, 0.717910522287554,          0.129189539659537, 0.675617328849562, 0.464768447350912,          0.220538485726081, 0.441631117888638, 0.581458245406798,          0.114469867006585), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L,          1L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 2L,          5L, 4L, 5L, 2L, 2L, 2L, 2L, 1L, 4L, 3L, 1L, 6L, 1L, 1L,          2L, 1L, 3L, 4L), WITHIN_350M_BUS = c(10L, 10L, 11L, 12L,          8L, 14L, 12L, 10L, 10L, 10L, 15L, 7L, 5L, 13L, 8L, 15L,          13L, 13L, 7L, 10L), WITHIN_1KM_PRISCH = c(4L, 4L, 5L,          4L, 5L, 5L, 6L, 5L, 5L, 6L, 4L, 3L, 3L, 4L, 4L, 4L, 6L,          4L, 4L, 6L), DNeighbour = c(0, 161.494745356321, 345.58043480652,          347.854014237307, 351.62291433211, 412.594755722118,          428.123305465602, 454.853252217019, 463.953708471261,          489.602730245255, 531.568071814682, 558.468884625033,          598.199682424838, 656.188352737284, 704.70809072243,          736.323805140695, 783.146665510531, 796.065790152075,          830.495537430749, 892.735601926542)), row.names = c("129",      "921", "292", "967", "755", "560", "447", "494", "591", "668",      "513", "189", "273", "771", "785", "577", "627", "718", "799",      "866"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.935622175231588,      0.722757464845438, 0.719397841775534, 0.71379756896154, 0.618424612212326,      0.592929201221065, 0.548199054194751, 0.532773068563077,      0.488915390207669, 0.416611418519875, 0.37046917572426, 0.303600651301814,      0.211351132000149, 0.142037328280615, 0.102216601106028,      0.0531042178960446, 0.041961159858282, 0.0181107200468771,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       547275284 
R squared (OOB):                  0.3798469 

$Forests[[130]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(408000, 620000, 750000,      755000, 552000, 685000, 840000, 530000, 825000, 820000, 472000,      580000, 805000, 745000, 810000, 688000, 660000, 795888, 4e+05,      590000), floor_area_sqm = c(84, 102, 90, 90, 100, 85, 87,      111, 87, 87, 84, 100, 104, 90, 90, 85, 90, 95, 92, 107),          storey_order = c(6L, 3L, 11L, 5L, 1L, 4L, 14L, 1L, 5L,          9L, 2L, 4L, 3L, 7L, 10L, 4L, 10L, 7L, 1L, 1L), remaining_lease_mths = c(647,          908, 1035, 1038, 910, 1038, 1141, 767, 1136, 1136, 799,          1013, 919, 1057, 1045, 964, 993, 1140, 555, 742), PROX_CBD = c(5.38657645344473,          4.95292174150019, 4.88070069409732, 4.88070069409732,          4.64904487497998, 4.89531124268982, 4.70219035054856,          4.3501519248406, 4.59114385332588, 4.59114385332588,          4.27761841825855, 4.79843685927635, 4.1456930527125,          6.0390103189171, 5.99670752478149, 3.98134497452694,          5.00856672458725, 6.26284978479934, 5.99479776583207,          6.87314974277175), PROX_ELDERLYCARE = c(0.465891927060243,          0.0718437191527097, 0.312658206579851, 0.312658206579851,          0.374326446996408, 0.307888742732217, 0.200702517977741,          0.203630745919553, 0.125633226962327, 0.125633226962327,          0.0937624362906392, 0.72206466606869, 0.45180890917037,          0.798119493593788, 0.788986586736525, 0.168717999980802,          0.403456137693205, 0.69800247969724, 0.420516157550055,          1.97763637144091), PROX_HAWKER = c(0.351855498276287,          0.126776661941161, 0.595417483526792, 0.595417483526792,          0.28049665267082, 0.546104933523636, 0.646528219825606,          0.509657348502929, 0.762382071136897, 0.762382071136897,          0.566432501893156, 0.669525197575465, 0.668394095052703,          0.151348144296069, 0.199496524550099, 0.262344394473714,          0.327438715714418, 0.130331819855385, 0.295460487376037,          0.529030079246562), PROX_MRT = c(0.675587286197546, 0.804865461788644,          0.314337158810329, 0.314337158810329, 0.763812758173444,          0.275254866694397, 0.491479629856663, 0.533693046359433,          0.586728793826683, 0.586728793826683, 0.40356540460373,          1.13446368103879, 0.413017272318271, 0.225262429159589,          0.226103982865864, 0.310254962870727, 0.699181106494864,          0.132116935816272, 0.305306521480229, 0.494712046441376         ), PROX_PARK = c(1.05249384295472, 0.908868407872405,          1.53366372097489, 1.53366372097489, 1.08394438059851,          1.60860995669454, 1.77379186206272, 0.941534540217125,          1.65596921250538, 1.65596921250538, 1.11098670131371,          0.279857584881724, 1.16828897329218, 0.921128796109604,          0.97332058707081, 0.894232249415992, 0.344858191728297,          0.742212481577902, 0.990750186553446, 0.176375266825028         ), PROX_GOOD_PRISCH = c(3.52335384407219, 3.66355651606602,          3.0451226436528, 3.0451226436528, 3.57098970158234, 2.96671225712824,          2.79995758206102, 3.77462248476967, 2.86977258716747,          2.86977258716747, 3.63213704613537, 4.40925832010736,          3.20846684942761, 2.45094763896652, 2.41026804261554,          3.868083844602, 4.86324650242379, 2.39901634170637, 2.01228232098645,          4.84886314545753), PROX_MALL = c(0.184401966361696, 0.209686974260184,          0.63262312230698, 0.63262312230698, 0.528365937160055,          0.696065710972082, 0.970860317849455, 0.812522711759855,          0.992224857230604, 0.992224857230604, 0.890632544268956,          0.830412122132217, 1.18405339004253, 1.15586968043917,          1.14826594162738, 1.18273225000282, 1.20968740927381,          0.965908348364742, 0.848644658978131, 1.63517626604001         ), PROX_CHAS = c(0.131272369045618, 0.176171654931402,          0.278004299073392, 0.278004299073392, 0.251376462502101,          0.22404402777184, 0.0639130956899198, 0.237239443458304,          0.156405874770629, 0.156405874770629, 0.116543108560641,          0.120011087306801, 0.401816380076581, 0.103484302768675,          0.157172829578474, 0.145112311632742, 0.358299181925541,          0.0879111496245458, 0.262677718190406, 0.513974468339749         ), PROX_SUPERMARKET = c(0.182486832055582, 0.176171398022836,          0.278004958714438, 0.278004958714438, 0.311533400888457,          0.224044642536509, 0.0639125072278545, 0.125937465506006,          0.156405662038775, 0.156405662038775, 0.205058734443685,          0.0907294343182455, 0.431453687618191, 0.198926203527595,          0.212384620357781, 0.252387257990654, 0.395196557309087,          0.0879117778441782, 0.3581952061826, 0.902139539206624         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 5L, 5L, 0L, 5L,          2L, 0L, 0L, 0L, 0L, 0L, 1L, 3L, 3L, 1L, 1L, 2L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 5L, 5L, 2L, 4L,          4L, 5L, 3L, 3L, 5L, 2L, 1L, 3L, 3L, 3L, 1L, 3L, 1L, 1L         ), WITHIN_350M_BUS = c(8L, 7L, 8L, 8L, 12L, 9L, 7L, 13L,          7L, 7L, 14L, 6L, 7L, 9L, 10L, 12L, 7L, 5L, 8L, 0L), WITHIN_1KM_PRISCH = c(1L,          2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L,          1L, 1L, 1L, 1L, 0L), DNeighbour = c(0, 463.397890594118,          700.106848491661, 701.184829262785, 741.898958721852,          745.186785340877, 1033.23207083392, 1067.92178737949,          1076.41796244028, 1078.95297597046, 1108.5895506352,          1127.64068330465, 1328.21382207406, 1334.18464164513,          1338.92414144537, 1426.85804240675, 1469.13228694397,          1553.15943802376, 1683.0485815852, 1734.80885767976)), row.names = c("130",      "216", "39", "982", "140", "916", "854", "348", "333", "768",      "709", "610", "320", "832", "379", "375", "515", "562", "413",      "765"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.862387506939855,      0.700796498489262, 0.699956396452577, 0.667671297541897,      0.665019007237703, 0.416379091326509, 0.385709908165095,      0.378227310214207, 0.375997520134473, 0.350043336535394,      0.333493331551303, 0.171245057140825, 0.166901333790951,      0.163479472047113, 0.104661852590998, 0.0799961432388192,      0.039383721172215, 0.0034553697982342, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10292079620 
R squared (OOB):                  0.4854366 

$Forests[[131]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(411000, 418000, 423000,      355000, 625000, 410000, 350000, 399000, 420000, 385000, 365000,      485000, 430000, 395000, 380000, 415000, 390000, 440000, 420000,      425000), floor_area_sqm = c(104, 84, 104, 84, 94, 84, 84,      102, 103, 102, 103, 104, 104, 103, 105, 108, 109, 104, 105,      104), storey_order = c(1L, 3L, 2L, 3L, 3L, 4L, 2L, 3L, 2L,      3L, 1L, 3L, 1L, 4L, 1L, 3L, 1L, 3L, 2L, 3L), remaining_lease_mths = c(806,      821, 827, 804, 1085, 814, 806, 766, 757, 755, 757, 823, 805,      772, 775, 904, 908, 752, 787, 747), PROX_CBD = c(13.1755942624772,      13.3325431063631, 13.4971436153267, 13.01786092695, 13.3230141016287,      12.8927390133383, 13.3385512116162, 13.0078000734933, 13.2614515751509,      13.2614515751509, 13.0970803497533, 12.533007335037, 12.514948085948,      13.1724132817366, 12.8173662852819, 13.7944980809676, 13.9032473641583,      13.1913836000948, 12.7549887608908, 12.4246534304877), PROX_ELDERLYCARE = c(1.08363260419178,      1.22529955141455, 1.36472832701396, 0.807586217367385, 1.40693910044933,      0.702153634905252, 1.09997831443452, 0.748101088186933, 0.99636081833896,      0.99636081833896, 0.830352740740998, 0.635175801858358, 0.754587815834464,      0.906244923447749, 0.548539301056628, 0.91518434198946, 1.01451296282065,      0.779182108791446, 0.556485595404089, 0.223353489993969),          PROX_HAWKER = c(1.26154745049637, 1.40113048988486, 1.53740682378418,          0.976719939584195, 1.58753442345041, 0.876276656944215,          1.2578245237404, 0.90031621758677, 1.14030290242306,          1.14030290242306, 0.973651338137405, 0.80610763907972,          0.918952349521139, 1.03184370064912, 0.687183343617196,          1.66782294138278, 1.79397933605035, 1.05769292681279,          0.627642822312809, 0.283538945902673), PROX_MRT = c(0.324849533681113,          0.481797794839233, 0.586728597341744, 0.343251427728879,          0.336472807994142, 0.279401054335897, 0.602718547061467,          0.513893198964272, 0.667490524156887, 0.667490524156887,          0.602819058882962, 0.317839503016409, 0.361279603881815,          0.712767869041386, 0.607087114668938, 0.658832763416297,          0.800124130005956, 0.577154139562059, 0.561554903993597,          0.694199692700576), PROX_PARK = c(0.447685878226129,          0.354623255285983, 0.212766960501703, 0.656436399769765,          0.286498275370587, 0.620470631841848, 0.569772965965399,          0.842333894517479, 0.758867978246924, 0.758867978246924,          0.879464356596765, 0.503650356541676, 0.436213246481288,          0.94305137750942, 0.953457314885518, 0.645156432286565,          0.561902145555774, 1.12092772213378, 1.16122098497616,          1.19561442246869), PROX_GOOD_PRISCH = c(2.16883728054707,          2.29474127216967, 2.41235725048041, 1.85318585541752,          2.51508960065264, 1.774803188623, 2.07907555576542, 1.72660166123773,          1.91909050044553, 1.91909050044553, 1.76550469910092,          1.74800143577954, 1.8549021101536, 1.76071721252525,          1.5016146113424, 2.39271928635374, 2.54268815221988,          1.6842887316892, 1.29435567579286, 1.09898709469432),          PROX_MALL = c(0.386525633611572, 0.542371475290289, 0.707673546664446,          0.400117032043626, 0.614219522084071, 0.322264379768498,          0.668924040978838, 0.5620231960968, 0.72813233212774,          0.72813233212774, 0.655283448157635, 0.260189306400009,          0.294446956047624, 0.808064657998832, 0.635314033644823,          1.14990641994387, 1.19892197022629, 0.813382909306435,          0.542723135774117, 0.626909601034773), PROX_CHAS = c(0.194419509978617,          0.059226360432522, 0.13417187150752, 0.191102980152323,          0.389026612692193, 0.241407331054591, 0.191227179226131,          1.4078617678234e-08, 0.255705601713763, 0.255705601713763,          0.10733838099953, 0.227429082883153, 0.29446060409402,          0.253073540027742, 0.149554006756045, 0.17469359838053,          0.278906060515125, 0.19044114280624, 0.144180959238343,          0.221655673315632), PROX_SUPERMARKET = c(0.386520309138909,          0.542367678587035, 0.707669264145537, 0.230446816430876,          0.614233853755243, 0.234452518543083, 0.444314653432489,          0.0851968725918189, 0.336474046543398, 0.336474046543398,          0.176189281490626, 0.260187243864149, 0.294460269353442,          0.263318229535236, 0.14719471752053, 0.357404112790227,          0.357092891009527, 0.190441743522314, 0.150188458093997,          0.209750471448386), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 0L, 3L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L,          1L, 0L, 3L, 2L, 2L), WITHIN_350M_CHILDCARE = c(5L, 6L,          5L, 2L, 5L, 4L, 3L, 2L, 2L, 2L, 1L, 3L, 2L, 3L, 2L, 3L,          2L, 4L, 3L, 5L), WITHIN_350M_BUS = c(12L, 10L, 7L, 5L,          10L, 4L, 5L, 6L, 6L, 6L, 4L, 7L, 8L, 6L, 5L, 7L, 7L,          8L, 7L, 4L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 1L,          4L, 5L, 4L, 4L, 4L, 4L, 3L, 2L, 4L, 5L, 4L, 3L, 5L, 5L,          5L), DNeighbour = c(0, 160.468668606115, 330.489192488075,          336.665898794734, 374.053177466963, 386.560993487407,          395.844578217053, 520.548652816792, 534.165852630888,          537.949409499848, 558.694213018077, 636.500201053701,          668.2253065041, 685.226546879751, 699.649388196225, 826.645627524549,          845.10224423214, 897.787984548257, 978.539392681068,          1070.56519166955)), row.names = c("131", "565", "353",      "789", "559", "493", "618", "103", "753", "473", "597", "758",      "12", "225", "523", "542", "113", "229", "215", "186"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.955569838012683, 0.818483921978482, 0.811991171086476,      0.770745530909949, 0.756239548218464, 0.745257187794783,      0.583044270954849, 0.564064155021358, 0.558760378207663,      0.529479332966434, 0.417981788708104, 0.372587445661431,      0.348480642853139, 0.328208653406842, 0.163031671553879,      0.142016275717568, 0.088049415068813, 0.0270704184388366,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3617236134 
R squared (OOB):                  -0.07789308 

$Forests[[132]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(475000, 415000, 540000,      7e+05, 578888, 558000, 525000, 670000, 463888, 348000, 372500,      490000, 380000, 420000, 433000, 421000, 505000, 410000, 450000,      5e+05), floor_area_sqm = c(93, 92, 92, 92, 95, 92, 95, 92,      95, 100, 102, 92, 92, 93, 92, 93, 92, 93, 95, 92), storey_order = c(4L,      2L, 6L, 4L, 2L, 6L, 5L, 5L, 1L, 3L, 2L, 3L, 1L, 2L, 4L, 4L,      4L, 4L, 2L, 3L), remaining_lease_mths = c(1130, 1130, 1142,      1126, 1134, 1136, 1141, 1121, 1140, 938, 931, 1038, 1037,      1099, 1084, 789, 1051, 788, 1109, 1049), PROX_CBD = c(11.4536743231806,      11.3687765497058, 11.3687765497058, 11.1573644039326, 11.5493041544933,      11.665784828589, 11.6190928108465, 11.0595651330709, 11.4133195883395,      11.8646943012694, 11.9627383543319, 11.6213283462416, 11.6419253241709,      11.8999896789117, 11.8702915361943, 10.8005053894847, 11.4388659085475,      10.7402382849343, 12.0901026943072, 11.4975151935682), PROX_ELDERLYCARE = c(1.19895989384568,      1.27208236570677, 1.27208236570677, 1.34447435494956, 1.47184415110161,      1.35367167055226, 1.40356458884146, 1.41694161867716, 1.61512702812623,      0.893707553155367, 0.96089261866182, 0.621923465733728, 0.626216066088841,      0.790393757138983, 0.670900780040593, 1.11154389564577, 0.529438756707198,      1.05196585123006, 0.911165280518988, 0.485429735975203),          PROX_HAWKER = c(1.02903329925728, 1.07923254025891, 1.07923254025891,          1.10011050744246, 1.35052465166479, 1.3549106116919,          1.37423229702662, 1.19495083476736, 1.4377955077332,          0.888626336009462, 0.983415578941634, 0.537052085835962,          0.553081930127745, 0.820501997631561, 0.715369360111721,          0.918995125488027, 0.319632581294072, 1.02652926791064,          0.995330006841388, 0.320302217757218), PROX_MRT = c(0.573574303209013,          0.671331594421278, 0.671331594421278, 0.876646963171676,          0.653877184653349, 0.561684506891731, 0.615423035680267,          0.991329354536752, 0.8250506195824, 0.214047355776769,          0.122900516984256, 0.182944945438028, 0.168432978085695,          0.261250382411254, 0.146531371307633, 0.566932323762424,          0.264110896255266, 0.546812793492647, 0.231980634651484,          0.24936700359253), PROX_PARK = c(0.341254943367627, 0.294690087030438,          0.294690087030438, 0.189026691537682, 0.597750851398377,          0.671016599957339, 0.654992910383756, 0.275833477585303,          0.60176146852012, 0.747986195716587, 0.836149627657164,          0.643411448820926, 0.654970873229416, 0.813614799778521,          0.8322137924942, 0.370936327890873, 0.653351036954048,          0.401614025373747, 0.750469455971567, 0.698336840868775         ), PROX_GOOD_PRISCH = c(2.96812409551872, 2.95589454100459,          2.95589454100459, 2.83177349547833, 3.26501815247482,          3.32537175969635, 3.31796907605439, 2.8385375863655,          3.26097143466547, 3.05097986431403, 3.15511978010431,          2.69528593883292, 2.71543842399088, 3.00567179865442,          2.91053685401804, 2.34700895725274, 2.45055199705462,          2.39141973384207, 3.19167768034691, 2.48345794754568),          PROX_MALL = c(0.714729745574342, 0.814743407183115, 0.814743407183115,          0.831480717149744, 0.808458836713889, 0.714662485508778,          0.768943294332632, 0.76911725394793, 0.979751787656279,          0.265637621954407, 0.161680393170103, 0.597386337892971,          0.576398809288588, 0.283076960540796, 0.385092319171944,          0.363372953846058, 0.840491697823826, 0.344610557976029,          0.1200910408013, 0.805279144871904), PROX_CHAS = c(0.31407050179696,          0.257507761616553, 0.257507761616553, 0.0819321575559949,          0.0498455969042401, 0.167944095298073, 0.119929951445322,          0.0661119226245057, 0.136218265087875, 0.265637621677666,          0.161680400961643, 0.130352204164602, 0.118628580179885,          0.283076936045466, 0.179381733260264, 0.111289200730163,          0.210772889992189, 0.106045676778667, 0.120090990225825,          0.18789773503711), PROX_SUPERMARKET = c(0.345653574215055,          0.30094246041235, 0.30094246041235, 0.408274605358357,          0.0982179911218008, 0.215917356790886, 0.16327623873727,          0.444069124865739, 0.0830307595499944, 0.211091622880127,          0.107037284539066, 0.0679201472407272, 0.0879874709963817,          0.236972988988714, 0.31749021679057, 0.386863986973968,          0.189609627596398, 0.357992185767737, 0.109512866312649,          0.186124684843571), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 1L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          2L, 0L, 2L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 3L,          3L, 3L, 3L, 1L, 2L, 3L, 3L, 7L, 8L, 6L, 6L, 7L, 9L, 3L,          4L, 3L, 8L, 4L), WITHIN_350M_BUS = c(8L, 10L, 10L, 6L,          4L, 4L, 3L, 9L, 4L, 8L, 9L, 8L, 8L, 9L, 10L, 9L, 7L,          6L, 8L, 8L), WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 3L, 2L,          2L, 2L, 3L, 1L, 5L, 4L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 4L,          4L), DNeighbour = c(0, 94.0916963388531, 100.791748745121,          301.526536571589, 328.575614111102, 362.566767214226,          364.605668371896, 413.018382981769, 419.7638950176, 508.807985974036,          574.071008183003, 581.661001166956, 587.907902278116,          613.876761676978, 677.182728098213, 706.832724110523,          717.485682599682, 731.899143641582, 734.825464167889,          736.386829018713)), row.names = c("132", "157", "876",      "425", "772", "830", "160", "407", "303", "232", "295", "89",      "421", "185", "110", "56", "271", "6", "117", "553"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.967613740999782, 0.962882334555834, 0.692783710902842,      0.641450082915344, 0.573931247593221, 0.569796042193643,      0.469804913924277, 0.455711093066773, 0.273095364915875,      0.153866388788551, 0.141437288728248, 0.13148460112051, 0.0930586232589316,      0.0238184721034953, 0.00618694679135874, 0.00256805839632882,      0.000147652924932255, 1.79446684451317e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6467862478 
R squared (OOB):                  0.257645 

$Forests[[133]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(480000, 420000, 475000,      492000, 550000, 455000, 507000, 592000, 518000, 515000, 635000,      330000, 440000, 310000, 470000, 515000, 370000, 582000, 335000,      335000), floor_area_sqm = c(84, 84, 89, 84, 105, 95, 105,      108, 88, 105, 105, 82, 93, 82, 84, 103, 92, 104, 91, 84),          storey_order = c(1L, 2L, 1L, 4L, 3L, 2L, 2L, 2L, 3L,          2L, 4L, 4L, 3L, 5L, 3L, 3L, 4L, 3L, 3L, 2L), remaining_lease_mths = c(789,          777, 789, 788, 786, 784, 770, 810, 770, 762, 833, 657,          759, 656, 813, 823, 699, 935, 754, 791), PROX_CBD = c(7.1729887096531,          7.13486939655985, 7.05609226259357, 7.5632891932167,          7.59960912304084, 7.49071683084666, 7.67544881001386,          7.18468073982128, 7.79515244158294, 7.9455961592131,          7.22087947204147, 6.06674643703895, 5.4791067318598,          5.9699685911294, 6.30150758144434, 6.41432963568309,          8.34406204250889, 5.4901102241405, 8.32334928378694,          9.13853516155078), PROX_ELDERLYCARE = c(1.69705296801524,          1.66246099208497, 1.59520672965634, 1.91313469252559,          1.85656629786719, 1.54524415115482, 1.73611556579875,          1.63490637838594, 1.83577537822547, 1.77517839654503,          1.54373359073656, 0.10409496222889, 0.505585511375112,          4.28110190953706e-07, 0.0580157957368266, 0.101150617829923,          0.224798473876808, 0.157919913507301, 0.163895949541214,          1.86142420062345), PROX_HAWKER = c(1.25907896080059,          1.23225985170817, 1.17571504816288, 1.10032443578502,          1.04404154823438, 0.996854886033364, 0.926505356032751,          1.02937341390922, 1.19066876388205, 0.800389309546525,          1.05968958012269, 0.346985863757343, 0.736115689949186,          0.247906315943116, 0.511576723994062, 0.639366917684312,          0.308707066729857, 0.258924665495, 0.1672780527947, 0.823671555860494         ), PROX_MRT = c(0.428812034955963, 0.448181123975075,          0.487588773645627, 0.433934859087748, 0.492673618184051,          0.34804043957783, 0.617354557404891, 0.13577722868059,          0.499752126280618, 0.75069701440163, 0.206889953987817,          1.1005845300218, 0.797555156120123, 1.03854772657135,          0.911216039334219, 0.753240517287136, 1.14033242259394,          1.30755754576723, 1.03738004469153, 1.58022074581844),          PROX_PARK = c(0.405529884687165, 0.367092279962757, 0.288106802683489,          0.474041874627479, 0.415297912555755, 0.292176487074364,          0.29052205197453, 0.802458220215738, 0.723268787935639,          0.364839433462782, 0.769170147627311, 0.741200181243785,          0.728040918615253, 0.792968228054446, 0.950460734805334,          0.941128983241434, 0.748901820021747, 0.803347187860442,          0.839050716088865, 0.533109662164166), PROX_GOOD_PRISCH = c(2.56840479702555,          2.60671936453148, 2.64150694603645, 2.17804686625686,          2.14133679267892, 2.30076298730527, 2.0690813845722,          2.6636605310312, 1.9917971907287, 1.79538098544694, 2.65891054731874,          1.85819018299306, 2.93310132502147, 1.89588922913119,          1.50990256016426, 1.35156641752108, 1.74338078296013,          2.45379201830723, 1.6197212814627, 0.605615063995802),          PROX_MALL = c(0.42122511428052, 0.44210957307938, 0.487675149993812,          0.413593098419561, 0.472342316185911, 0.79872232386887,          0.59706101530086, 0.319563922107573, 0.483735594398556,          0.730136421618933, 0.389192825268572, 1.22044581333525,          0.719613179783111, 1.25835483053691, 0.872189526609738,          0.713954983197348, 0.813314037197816, 1.21674302842157,          0.952850965311535, 0.925377142856182), PROX_CHAS = c(0.364873472162596,          0.395328272461269, 0.464118937564998, 5.15903103580734e-08,          0.0587537711423344, 0.204927614889482, 0.183520259224292,          0.244287808759251, 0.157541179554435, 0.312128892467037,          0.201367273106442, 0.252393584019624, 0.0706483510319072,          0.21461630683628, 0.0940735950578242, 0.15014885052256,          0.347263729641395, 0.233242749827373, 0.218034921212892,          0.179557542480515), PROX_SUPERMARKET = c(0.372543253077343,          0.392878094873427, 0.438288204779491, 0.0709823460282706,          0.121599745844786, 0.535956758401375, 0.242167451420959,          0.350395790631763, 0.305647853022819, 0.390939423908347,          0.425467495913439, 0.321431524942613, 0.0706487501399716,          0.227231659318009, 0.469210677159174, 0.519047869620273,          0.624544400837596, 0.37596142908425, 0.502751024921131,          0.223142170833011), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 2L,          2L, 1L, 0L, 1L, 2L), WITHIN_350M_CHILDCARE = c(3L, 4L,          3L, 4L, 5L, 3L, 5L, 6L, 2L, 4L, 7L, 2L, 2L, 2L, 4L, 4L,          1L, 3L, 1L, 3L), WITHIN_350M_BUS = c(8L, 7L, 5L, 9L,          8L, 4L, 8L, 12L, 10L, 7L, 11L, 6L, 3L, 8L, 7L, 7L, 5L,          10L, 4L, 11L), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 3L,          4L, 4L, 4L, 1L, 2L, 3L, 1L, 5L, 2L, 4L, 4L, 3L, 3L, 3L,          3L, 2L), DNeighbour = c(0, 42.0626373149469, 122.004647460916,          397.586829490827, 421.027636059584, 486.677811508911,          500.476471123402, 679.22556814173, 737.281759135647,          764.91716453508, 765.906567490473, 1606.90499167234,          1700.61660383395, 1702.07134133301, 1711.38244066564,          1767.25790760287, 1809.10703031447, 1874.41772747854,          1891.07628294202, 1962.48545068264)), row.names = c("133",      "82", "449", "829", "735", "950", "647", "370", "209", "345",      "344", "628", "802", "920", "417", "114", "204", "307", "713",      "485"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999081434062924,      0.992285109158818, 0.919596354613192, 0.910065364916273,      0.88078355620269, 0.874157508832625, 0.774772268521684, 0.737638281107118,      0.71923911095481, 0.718572225206938, 0.108602069834709, 0.0620354483653783,      0.0613968587775433, 0.057375320635293, 0.0357449170247252,      0.0225606839268867, 0.00769784983954825, 0.00510512995269227,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6848160085 
R squared (OOB):                  0.2084795 

$Forests[[134]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(475000, 476000, 537000,      5e+05, 620000, 510000, 407000, 375000, 355000, 685000, 753000,      680000, 680000, 8e+05, 748000, 945500, 912000, 7e+05, 755000,      1056800), floor_area_sqm = c(103, 103, 106, 103, 103, 93,      82, 82, 82, 93, 87, 91, 85, 90, 107, 87, 87, 93, 90, 95),          storey_order = c(2L, 2L, 4L, 1L, 2L, 4L, 5L, 3L, 2L,          4L, 5L, 3L, 2L, 7L, 2L, 8L, 3L, 1L, 2L, 16L), remaining_lease_mths = c(781,          774, 760, 773, 911, 746, 661, 645, 656, 1115, 1104, 984,          1066, 1063, 899, 1143, 1142, 625, 983, 1081), PROX_CBD = c(3.09516181063763,          3.09516181063763, 3.12641734116327, 3.24578829573265,          2.86182045335715, 3.46549777590634, 3.63085360417079,          3.68559345068932, 3.73116287154914, 2.56060478168524,          2.5775653440094, 2.86455481676114, 2.96405104980333,          2.97610984462207, 2.52364731081334, 2.51922626320824,          2.51922626320824, 2.09358084499411, 2.01305703462688,          1.77209924777956), PROX_ELDERLYCARE = c(0.614909460801077,          0.614909460801077, 0.570344367187993, 0.461566734593474,          0.334062202372697, 0.22080460703487, 0.233260955843543,          0.466665237090727, 0.501456868829436, 0.303984777605612,          0.283170941801308, 0.111411798512938, 0.206690358794928,          0.249991250520312, 0.132133546591398, 1.25853619714168e-06,          1.25853619714168e-06, 0.442569764285143, 0.301111196915018,          0.140516738363648), PROX_HAWKER = c(0.524942013349153,          0.524942013349153, 0.582032517556358, 0.461305554076076,          0.231089093207534, 0.288924403117312, 0.0974836441417274,          0.28293755865871, 0.311969910328466, 0.450094806637729,          0.447120961378381, 0.302651224916382, 0.344572110572533,          0.405863058813757, 0.315417458803045, 0.187177165934232,          0.187177165934232, 0.103399879312882, 0.439754799726314,          0.23052169920376), PROX_MRT = c(1.19880844528061, 1.19880844528061,          1.19588154804183, 1.11057161001852, 0.819080841065402,          0.855873415641472, 0.897060452829867, 1.17490863944549,          1.10221151459309, 0.546591463865751, 0.499107329029013,          0.391395986196982, 0.377919714857806, 0.337225216160626,          0.277076743329557, 0.243725266054354, 0.243725266054354,          0.681532284353367, 0.650763936895186, 0.454819638815125         ), PROX_PARK = c(0.971409228458194, 0.971409228458194,          0.971029675538415, 0.856773721705297, 0.609617368578913,          0.78484111030831, 0.512523364266062, 0.304435062988112,          0.271761978726623, 0.21329655328302, 0.18481391877062,          0.399002951856213, 0.495024008458079, 0.4671588721782,          0.163253442595557, 0.28862748451296, 0.28862748451296,          0.400473707610266, 0.806729342800227, 0.568364566172339         ), PROX_GOOD_PRISCH = c(5.46565510857314, 5.46565510857314,          5.52416256345089, 5.51078547454581, 5.1514664212482,          5.67094725420518, 5.4842432173218, 5.15997579188296,          5.22570836776045, 4.93746215949662, 4.89009258041755,          4.71207116352008, 4.62297298452196, 4.56048774292729,          4.61812725480087, 4.50145006484821, 4.50145006484821,          4.81109980295855, 6.32589195448141, 6.2014068010071),          PROX_MALL = c(1.2281628510896, 1.2281628510896, 1.29251563056945,          1.33172083977874, 0.848351644608041, 1.56665946009711,          1.51733094855201, 1.3376464242075, 1.41171259857663,          0.572150632107275, 0.524781909718914, 0.420489734799516,          0.404565296260845, 0.362094853274792, 0.290995843291254,          0.244046547559164, 0.244046547559164, 0.685370188976197,          0.368960166061844, 0.293469301127063), PROX_CHAS = c(0.240903750709302,          0.240903750709302, 0.202999736112437, 0.0869328465249217,          0.159666076311523, 0.173647795570322, 0.318203164684035,          0.216565147674259, 0.261237260735983, 0.0640474788759872,          0.0301364724824846, 0.110042750971165, 0.0506108453744785,          0.111500209373212, 0.0122221533760307, 0.0462846720247782,          0.0462846720247782, 0.165994533154508, 0.298496878246672,          0.116110892529562), PROX_SUPERMARKET = c(0.240902416159861,          0.240902416159861, 0.202998478162502, 0.0869315055470345,          0.360029455717415, 0.173649067116538, 0.318204198369299,          0.252487697752149, 0.301923436189205, 0.315915165677582,          0.275738565320567, 0.110042446678578, 0.0506107476035619,          0.111500172768761, 0.0373112013983995, 0.169442491353445,          0.169442491353445, 0.346795592234613, 0.364789845186166,          0.203860721712114), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L,          0L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 3L, 1L, 1L, 3L, 3L, 4L, 4L, 4L, 3L, 3L, 6L, 4L,          4L, 4L, 4L, 7L), WITHIN_350M_BUS = c(4L, 4L, 5L, 6L,          4L, 9L, 11L, 10L, 9L, 3L, 3L, 7L, 7L, 4L, 6L, 4L, 4L,          7L, 10L, 10L), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 2L,          3L, 2L, 2L, 2L, 2L, 3L, 2L, 4L, 4L, 3L, 2L, 2L, 2L, 1L,          1L, 1L), DNeighbour = c(0, 5.8323216640629, 57.3032750560206,          148.07371363242, 397.512414847303, 402.386319737403,          539.77186976373, 686.701591707738, 702.808434688752,          787.31348755987, 816.017432586553, 817.156975803522,          875.384799304154, 936.83769774354, 1118.93600639822,          1239.94854398501, 1244.00121983136, 1326.27003109291,          1484.47282854676, 1580.5414722921)), row.names = c("134",      "126", "48", "192", "561", "454", "742", "683", "432", "390",      "999", "968", "389", "319", "65", "816", "550", "824", "567",      "509"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999972766830862,      0.997372809489939, 0.982523113985105, 0.87749262986179, 0.874571236208735,      0.780343302924315, 0.658100219704569, 0.643644770938131,      0.565304789189705, 0.537941344566601, 0.53684907857883, 0.480593957619115,      0.420770996511453, 0.248815664761409, 0.147875696429086,      0.144792722947189, 0.0875397548361319, 0.0138932786406795,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10955160257 
R squared (OOB):                  0.7105189 

$Forests[[135]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(394000, 310000, 720000,      685000, 635000, 592000, 416000, 575000, 430000, 440000, 290000,      475000, 420000, 480000, 380000, 380000, 315000, 465000, 380000,      385000), floor_area_sqm = c(102, 83.1, 93, 93, 105, 108,      91, 101, 92, 93, 87, 89, 84, 84, 100, 103, 91, 91, 89, 93     ), storey_order = c(2L, 3L, 3L, 2L, 4L, 2L, 4L, 6L, 2L, 3L,      1L, 1L, 2L, 1L, 4L, 1L, 1L, 2L, 5L, 1L), remaining_lease_mths = c(769,      613, 1143, 1142, 833, 810, 713, 932, 687, 759, 643, 789,      777, 789, 931, 923, 722, 764, 653, 772), PROX_CBD = c(6.11041994069873,      5.99387263807515, 6.10189119169168, 6.19231755176043, 7.22087947204147,      7.18468073982128, 5.10609859014938, 5.56255806753875, 5.17330173892321,      5.4791067318598, 4.35364804731157, 7.05609226259357, 7.13486939655985,      7.1729887096531, 8.15573636625741, 8.21483984631558, 8.21547938057256,      4.28329341592686, 4.19301197437796, 4.25035751849909), PROX_ELDERLYCARE = c(0.700949857098155,      0.103488744511564, 0.230112759455232, 0.355678840187058,      1.54373359073656, 1.63490637838594, 0.320090253923576, 0.0599829320550621,      0.151830290872251, 0.505585511375112, 0.402111762367986,      1.59520672965634, 1.66246099208497, 1.69705296801524, 0.30639563225599,      0.287120499253456, 0.425001866306461, 0.4193003334471, 1.05465194719342,      0.411587417191489), PROX_HAWKER = c(0.917579692245523, 0.131941483902414,      0.193610514045812, 0.287310245845902, 1.05968958012269, 1.02937341390922,      0.333568708255903, 0.248163252655802, 0.261285820740611,      0.736115689949186, 0.52502919100195, 1.17571504816288, 1.23225985170817,      1.25907896080059, 0.288074572046437, 0.248204869380096, 0.272525769496456,      0.638679046714181, 0.297392426102438, 0.610932712322496),          PROX_MRT = c(0.781870827245549, 0.422927302226303, 0.385901790532203,          0.3593423355956, 0.206889953987817, 0.13577722868059,          0.549226257235714, 0.389634730949481, 0.568944969773001,          0.797555156120123, 0.698417082344063, 0.487588773645627,          0.448181123975075, 0.428812034955963, 0.998476915081282,          1.08736551837768, 0.877462529610437, 0.637237645879563,          0.670866804568908, 0.605174310138743), PROX_PARK = c(0.263971642616293,          0.775542593632535, 0.835974869985028, 0.861129399478803,          0.769170147627311, 0.802458220215738, 0.534309547143458,          0.136342453682232, 0.375618223612072, 0.728040918615253,          0.0959047492621704, 0.288106802683489, 0.367092279962757,          0.405529884687165, 0.465482353353317, 0.587773758099403,          0.34344129155164, 0.336599362476296, 1.34668044149268,          0.346786980248178), PROX_GOOD_PRISCH = c(4.13214763824822,          3.79476022833587, 3.72727940395598, 3.647323571983, 2.65891054731874,          2.6636605310312, 3.68539306501406, 3.30515733544794,          3.5160560831601, 2.93310132502147, 4.11088283479722,          2.64150694603645, 2.60671936453148, 2.56840479702555,          2.76944558246381, 2.8757656049093, 2.64672046335999,          3.85984302070176, 4.04417128338034, 3.87277035706644),          PROX_MALL = c(1.32133984316634, 1.29238059557114, 1.26544404340832,          1.22999734499907, 0.389192825268572, 0.319563922107573,          1.13513631747826, 0.719385659919303, 0.96360119165526,          0.719613179783111, 0.801857467962545, 0.487675149993812,          0.44210957307938, 0.42122511428052, 0.92903564794814,          1.020621498239, 0.807676293785945, 0.92062293894618,          1.51326780463499, 0.955673327573223), PROX_CHAS = c(0.235562548335707,          3.57955945681819e-08, 0.131092152612185, 0.255647811562625,          0.201367273106442, 0.244287808759251, 0.37199840586913,          0.174009235365936, 0.213267381067323, 0.0706483510319072,          0.130252709580884, 0.464118937564998, 0.395328272461269,          0.364873472162596, 0.211513021624011, 0.132091194783373,          0.136581974857907, 0.285886541141976, 0.212246176955017,          0.260827480873255), PROX_SUPERMARKET = c(0.174913922147584,          0.147638600898363, 0.0250108723026275, 0.108411284353298,          0.425467495913439, 0.350395790631763, 0.424647979009491,          0.173881454941229, 0.266791583668656, 0.0706487501399716,          0.591301773724787, 0.438288204779491, 0.392878094873427,          0.372543253077343, 0.324462496048725, 0.249780587504203,          0.281285688066644, 0.506434284786685, 0.306178228663922,          0.512280309006142), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 1L, 1L, 0L, 1L, 2L, 0L, 1L, 2L, 1L, 1L, 1L,          0L, 1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(1L, 2L,          2L, 2L, 7L, 6L, 4L, 4L, 4L, 2L, 4L, 3L, 4L, 3L, 2L, 1L,          2L, 4L, 1L, 5L), WITHIN_350M_BUS = c(4L, 6L, 9L, 10L,          11L, 12L, 4L, 2L, 4L, 3L, 6L, 5L, 7L, 8L, 8L, 8L, 8L,          5L, 5L, 5L), WITHIN_1KM_PRISCH = c(1L, 2L, 2L, 1L, 1L,          1L, 3L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 1L,          3L), DNeighbour = c(0, 1133.37931200887, 1210.54568393741,          1304.28981311267, 1513.70698697834, 1540.06604020139,          1585.8351867502, 1688.4374326868, 1692.28975515524, 1742.14022220247,          1906.5991712821, 1974.28873987542, 2014.10724916753,          2030.7190622644, 2042.83253810282, 2103.1755758597, 2106.62698955282,          2164.29001008401, 2177.28163673312, 2202.67445604867)), row.names = c("135",      "752", "812", "305", "344", "370", "853", "596", "270", "802",      "532", "449", "82", "133", "435", "60", "691", "747", "993",      "19"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.540580045964227,      0.487150807244625, 0.421682967473886, 0.278507398593922,      0.261271516512804, 0.231995499694463, 0.170087680618259,      0.167880779379023, 0.14020896630127, 0.0628829882504019,      0.0386596495391486, 0.0268592148246481, 0.0225116654240298,      0.0195631697711587, 0.00779745584035755, 0.00727753521950969,      0.00119362692696909, 0.000525484725904798, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9647718239 
R squared (OOB):                  0.3602678 

$Forests[[136]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 455000, 393000,      448000, 450000, 415000, 395000, 362500, 380000, 367000, 412000,      430000, 420000, 405000, 430000, 405000, 410000, 425000, 380000,      495000), floor_area_sqm = c(84, 113, 103, 116, 106, 103,      106, 103, 106, 104, 104, 107, 112, 105, 104, 104, 106, 104,      107, 93), storey_order = c(3L, 5L, 2L, 3L, 4L, 3L, 2L, 3L,      1L, 1L, 2L, 4L, 4L, 3L, 2L, 2L, 2L, 3L, 2L, 2L), remaining_lease_mths = c(811,      824, 818, 827, 834, 834, 834, 819, 887, 879, 878, 868, 866,      856, 861, 862, 871, 871, 871, 1131), PROX_CBD = c(14.7472020389823,      14.8805910833212, 14.8805910833212, 15.1039483662242, 15.1256206124729,      15.1256206124729, 15.1256206124729, 14.3801998083441, 15.0291078847704,      14.66420827852, 14.1313829663274, 15.2985874116244, 15.3605597168545,      15.3605597168545, 15.4019609662575, 15.4019609662575, 15.428944563277,      14.0236082538335, 15.2330821453909, 14.1234549986629), PROX_ELDERLYCARE = c(1.19052284520552,      1.53481387371296, 1.53481387371296, 1.55233595008815, 1.5866097118695,      1.5866097118695, 1.5866097118695, 0.709377020411434, 1.09928331705025,      0.719957479461771, 0.836104821253693, 1.41400995500373, 1.7630974884403,      1.7630974884403, 1.7026350967472, 1.7026350967472, 1.63977306379889,      1.09340394122649, 1.22808745848404, 1.35242241046818), PROX_HAWKER = c(0.606039227085063,      0.395563323563994, 0.395563323563994, 0.672854909342646,      0.674198133913936, 0.674198133913936, 0.674198133913936,      0.928921275219278, 1.15922930524208, 1.17971772396452, 0.73352935155883,      1.16406043263713, 0.874437271649647, 0.874437271649647, 0.985391408166863,      0.985391408166863, 1.09717995764468, 0.594999289424802, 1.40985252978436,      0.458626901673037), PROX_MRT = c(0.807097621625513, 0.650195396152393,      0.650195396152393, 0.927742831261867, 0.930587839854138,      0.930587839854138, 0.930587839854138, 1.02650412956774, 1.36685465541241,      1.12495588646837, 0.735653331318593, 1.40304810962874, 1.13238128237287,      1.13238128237287, 1.24252861976923, 1.24252861976923, 1.35104476777798,      0.469886084443941, 1.62235809597188, 0.250036690549804),          PROX_PARK = c(0.432698189125414, 0.355836862982211, 0.355836862982211,          0.613453702116727, 0.625625874274951, 0.625625874274951,          0.625625874274951, 0.71485218383349, 0.808345234949979,          0.823954351824118, 0.463826523913091, 0.98341166564854,          0.852232892319188, 0.852232892319188, 0.934356673366442,          0.934356673366442, 1.02148060415503, 0.504422356794811,          0.633472210001671, 0.469588575534173), PROX_GOOD_PRISCH = c(3.13467644284063,          3.33079371618761, 3.33079371618761, 3.51513652285447,          3.54140201350838, 3.54140201350838, 3.54140201350838,          2.72778429145315, 3.36640767040689, 2.99834463762659,          2.52734391167264, 3.64472604970499, 3.77322944876988,          3.77322944876988, 3.78947597459801, 3.78947597459801,          3.79601078940401, 2.51794344218072, 3.56691345353299,          2.69456588548322), PROX_MALL = c(0.738705771798207, 0.390496575840073,          0.390496575840073, 0.472438990852491, 0.445444903624544,          0.445444903624544, 0.445444903624544, 0.949257633150117,          0.486526360127578, 0.669111824361406, 0.66282583229379,          0.597111778941966, 0.502295694435402, 0.502295694435402,          0.656741946143406, 0.656741946143406, 0.809004632748584,          0.418819234777705, 0.253259472709144, 0.232476208076891         ), PROX_CHAS = c(0.19051372613691, 0.448788349522024,          0.448788349522024, 0.353464796953762, 0.387886097439527,          0.387886097439527, 0.387886097439527, 0.453083161817035,          0.228652490110126, 0.38494516455544, 0.528800676490504,          0.0911939042613644, 0.563239471741591, 0.563239471741591,          0.478794864158343, 0.478794864158343, 0.352996738297868,          0.151261605672147, 0.210576528602503, 0.147334233235439         ), PROX_SUPERMARKET = c(0.326764101800336, 0.447693008221967,          0.447693008221967, 0.429218479578941, 0.411626017932148,          0.411626017932148, 0.411626017932148, 0.513065398645433,          0.234691730121176, 0.384052647553184, 0.528799775767506,          0.408284988301129, 0.187279197917694, 0.187279197917694,          0.1489144838969, 0.1489144838969, 0.252078878715955,          0.151260689076964, 0.21397076195142, 0.147334782275979         ), WITHIN_350M_KINDERGARTEN = c(3L, 2L, 2L, 2L, 2L, 2L,          2L, 0L, 2L, 1L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 3L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 3L, 2L, 2L, 2L,          2L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 3L, 3L, 2L, 4L, 3L, 4L         ), WITHIN_350M_BUS = c(9L, 5L, 5L, 7L, 6L, 6L, 6L, 2L,          8L, 7L, 6L, 13L, 10L, 10L, 9L, 9L, 11L, 12L, 12L, 13L         ), WITHIN_1KM_PRISCH = c(3L, 2L, 2L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 3L, 3L, 2L, 3L, 1L),          DNeighbour = c(0, 346.047718047333, 349.324558400262,          389.485897873676, 418.000604509516, 427.630224071165,          428.273064592445, 497.692187264743, 561.983506386943,          612.247652500207, 614.044158646286, 640.766593032111,          643.060014518584, 647.990604575989, 653.728251437296,          661.678975337742, 692.645413990099, 809.976650531929,          826.900957203843, 871.157183742056)), row.names = c("136",      "852", "639", "188", "457", "233", "483", "3", "314", "686",      "695", "934", "782", "994", "495", "406", "899", "51", "428",      "212"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.70931801535361,      0.704269597645082, 0.640176481218207, 0.592546781927825,      0.576142743798154, 0.575042668324313, 0.453758777259809,      0.340876127665512, 0.256111670570596, 0.253181945896421,      0.210670235756973, 0.207123821859059, 0.199559439309366,      0.190863555615776, 0.179012388049496, 0.135304263795305,      0.0183672866531804, 0.00980545580299396, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1186780967 
R squared (OOB):                  -0.009034834 

$Forests[[137]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 380000, 420000,      345000, 340000, 370000, 335000, 336000, 380000, 310000, 325000,      323000, 345000, 295000, 390000, 370000, 350000, 325000, 345000,      343000), floor_area_sqm = c(93, 93, 92, 102, 101, 93, 101,      104, 93, 104, 104, 104, 103, 105, 126, 103, 104, 90, 104,      102), storey_order = c(3L, 1L, 6L, 2L, 5L, 1L, 2L, 4L, 1L,      1L, 1L, 3L, 5L, 1L, 2L, 4L, 2L, 4L, 4L, 5L), remaining_lease_mths = c(1139,      1138, 1104, 935, 943, 1139, 933, 958, 1142, 879, 872, 956,      944, 870, 879, 881, 863, 912, 862, 935), PROX_CBD = c(15.9652529785268,      15.9652529785268, 16.0058570800758, 16.0814208174046, 15.9284058495794,      15.8422849591204, 16.135389698045, 16.2237683329895, 15.6174435761395,      15.9652370890998, 15.9652370890998, 16.3822081442679, 15.6615925135045,      16.027241877126, 16.1769042321823, 15.9139497277605, 15.9139497277605,      16.3759795802925, 16.2035530975804, 15.6558233565228), PROX_ELDERLYCARE = c(0.120425003900544,      0.120425003900544, 0.0922651494707867, 0.129424766752979,      0.260351961534281, 0.241353796602158, 0.214357316635524,      0.233700982090528, 0.457575537702088, 0.372962984236141,      0.372962984236141, 0.317064501792404, 0.372854461013726,      0.401697186037664, 0.382017171357745, 0.471057675436291,      0.471057675436291, 0.437652472603004, 0.462412199513001,      0.268146833149962), PROX_HAWKER = c(2.36922200206298, 2.36922200206298,      2.393526972262, 2.40830007300065, 2.2342618496891, 2.37354129025836,      2.40272097648418, 2.48966457045008, 2.21004723991438, 2.45115541279444,      2.45115541279444, 2.76474077583521, 2.39243139523594, 2.44772974464855,      2.55739022352562, 2.34701070601947, 2.34701070601947, 2.71828200917597,      2.51024920878341, 2.27183532495414), PROX_MRT = c(0.886101680623091,      0.886101680623091, 0.910164710677637, 1.00126993569874, 1.02417718077332,      0.721786411333246, 1.09323648573999, 1.11461848888664, 0.70935210619912,      0.52727924180445, 0.52727924180445, 1.02897813643603, 0.499275570100955,      0.538616250543522, 0.674610535324426, 0.424613907535265,      0.424613907535265, 0.870089952652958, 0.65447898159524, 0.370313443989706     ), PROX_PARK = c(1.58077599563476, 1.58077599563476, 1.6216647961598,      1.7154732425778, 1.61207436869795, 1.42084473696832, 1.7942088991982,      1.86547668850022, 1.21748666352844, 1.39203600576681, 1.39203600576681,      1.73717122008599, 1.19384102986047, 1.35146177086674, 1.39748820590438,      1.30337713627377, 1.30337713627377, 1.49155883505512, 1.32632916723033,      1.16446299803307), PROX_GOOD_PRISCH = c(5.96493131981452,      5.96493131981452, 6.00411547246196, 6.0710937852797, 5.90870946924896,      5.8611108446886, 6.11593822040069, 6.20687623278084, 5.63578467655705,      6.02718330754398, 6.02718330754398, 6.39421933734494, 5.71328270316738,      6.09534233388474, 6.23706483495109, 5.99275530970335, 5.99275530970335,      6.4246273009838, 6.27623366830878, 5.73062396037349), PROX_MALL = c(0.18546430077947,      0.18546430077947, 0.187934498474296, 0.261655001598387, 0.350369242497661,      0.177442774283774, 0.350342319635, 0.36788016328609, 0.401390812484646,      0.238316612740974, 0.238316612740974, 0.374078152135628,      0.238209845871265, 0.275346491924215, 0.292722816398213,      0.338688619983659, 0.338688619983659, 0.409369768138594,      0.370949542105629, 0.155488337640192), PROX_CHAS = c(0.185464348558652,      0.185464348558652, 0.187934543511456, 0.26165503944411, 0.35036929019185,      0.177442804982894, 0.350342354631045, 0.367880188789974,      0.187858028295528, 0.238316573509266, 0.238316573509266,      0.374078140160073, 0.238209795937414, 0.275346446899555,      0.292722768811081, 0.338688583692834, 0.338688583692834,      0.409369730284335, 0.370949494121523, 0.155488306171375),          PROX_SUPERMARKET = c(0.198556813498254, 0.198556813498254,          0.197516435852273, 0.265481412722203, 0.363015443397577,          0.197153631350279, 0.352223797136593, 0.364697803989784,          0.412009517866082, 0.177610526119132, 0.177610526119132,          0.357574924056941, 0.238833101010687, 0.141316208924405,          0.254565333705719, 0.112474666082431, 0.112474666082431,          0.389543937857684, 0.235998227482853, 0.152010752053411         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 2L,          0L, 0L, 3L, 3L, 3L, 2L, 3L, 3L, 5L, 3L, 3L, 2L, 3L, 4L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 5L, 3L, 7L,          2L, 2L, 3L, 6L, 6L, 1L, 5L, 8L, 8L, 9L, 9L, 2L, 5L, 8L         ), WITHIN_350M_BUS = c(15L, 15L, 14L, 13L, 10L, 15L,          9L, 9L, 15L, 14L, 14L, 9L, 16L, 12L, 9L, 15L, 15L, 5L,          7L, 14L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 3L,          2L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L         ), DNeighbour = c(0, 8.92289099738193, 42.2592666948404,          128.574526669653, 159.114434723691, 179.920598182239,          216.469364761534, 279.341380546152, 365.364419522882,          420.497052749751, 421.925940325475, 436.869053812643,          445.746979770351, 462.137620411236, 479.423693050437,          510.301936402253, 514.09526087658, 554.027846604416,          554.153653964881, 557.284074585121)), row.names = c("137",      "913", "154", "890", "705", "585", "88", "394", "766", "490",      "566", "173", "572", "463", "54", "927", "959", "974", "806",      "450"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999487336694257,      0.988532462120215, 0.89637340103972, 0.843604915752471, 0.802397112236713,      0.721000086847277, 0.560616846449032, 0.325090990271808,      0.185466962439287, 0.18214358589634, 0.148580346541391, 0.129765990237774,      0.0975408262175139, 0.0675521584436688, 0.026083434424286,      0.0221984449171516, 0.00013576725084606, 0.000125507341845041,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       690607409 
R squared (OOB):                  0.3792601 

$Forests[[138]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 430000, 382000,      426888, 460000, 475000, 440000, 422000, 455000, 425000, 420000,      403500, 460000, 468000, 458888, 450000, 380000, 485000, 510000,      452000), floor_area_sqm = c(90, 92, 86, 92, 92, 92, 92, 92,      92, 92, 92, 90, 92, 92, 92, 92, 90, 95, 92, 92), storey_order = c(5L,      1L, 2L, 1L, 5L, 2L, 2L, 2L, 4L, 4L, 2L, 5L, 3L, 4L, 4L, 3L,      4L, 5L, 5L, 2L), remaining_lease_mths = c(978, 1134, 989,      1141, 1136, 1126, 1136, 1132, 1136, 988, 1139, 965, 1137,      1124, 1130, 1136, 973, 1141, 1133, 1133), PROX_CBD = c(12.4059518996545,      12.5852639843962, 12.3082954752684, 12.5841594105866, 12.5778468618744,      12.6532888174316, 12.6445046545469, 12.6523002899419, 12.5530445309639,      12.1902934701837, 12.4951121122816, 12.0682850666201, 12.6444338023734,      12.5372560863306, 12.6444338023734, 12.6444338023734, 11.9491294576901,      12.8190940082697, 12.8180148044036, 12.8941535537835), PROX_ELDERLYCARE = c(0.404564014080405,      0.3637938018331, 0.583230122785789, 0.419823195233641, 0.25879478544564,      0.373604611296459, 0.316798451576888, 0.17445131765005, 4.52036057904239e-07,      0.362754738306624, 0.0780281999502717, 0.36227142211874,      0.0933099122535032, 0.066903342124331, 0.0933099122535032,      0.0933099122535032, 0.351349913726565, 0.268492105828742,      0.265081039187363, 0.346816364720296), PROX_HAWKER = c(0.551023632791116,      0.45815519033126, 0.732610931237137, 0.512822421809829, 0.361759384229333,      0.440383933038266, 0.385855619963418, 0.228019105088385,      0.183834631869038, 0.536726116414185, 0.227760265989261,      0.732401821736703, 0.0943584031018698, 0.184899994018696,      0.0943584031018698, 0.0943584031018698, 0.693645859237657,      0.146347761938812, 0.116173376637396, 0.172433027954251),          PROX_MRT = c(0.467412150427879, 0.305105021876954, 0.348338435446781,          0.285300897266269, 0.325317058740364, 0.24828698655044,          0.290856617513635, 0.189124878414716, 0.225183269009929,          0.364194860258715, 0.288636635543175, 0.353072027979069,          0.135663244459145, 0.250680884626282, 0.135663244459145,          0.135663244459145, 0.207404211118571, 0.0524349257152741,          0.0414043955932523, 0.133852264483784), PROX_PARK = c(1.06942514246801,          0.998305920751222, 1.248380402738, 1.05356492524152,          0.898636927133822, 0.981635622560504, 0.927332929158558,          0.76865606278053, 0.665189387379371, 0.883674706708426,          0.64692671777276, 1.2554933111164, 0.61385987529272,          0.614568616662392, 0.61385987529272, 0.61385987529272,          1.42337349535551, 0.639036828502152, 0.594833919624026,          0.541994755536806), PROX_GOOD_PRISCH = c(2.85954585658161,          3.02473222579279, 2.82059786507503, 3.04090040576321,          2.98751376551561, 3.08870420529617, 3.06407026512831,          3.02962689364369, 2.90013878468328, 2.54749739008747,          2.83249303987555, 2.66094910730305, 2.98554640042679,          2.87119716545371, 2.98554640042679, 2.98554640042679,          2.48771655129493, 3.16783392704602, 3.15789060893291,          3.22227453062783), PROX_MALL = c(0.423524868376446, 0.450387082903272,          0.312386349772529, 0.39575302739997, 0.550769417999913,          0.475487624694748, 0.525247230278188, 0.680457081346124,          0.801147315442336, 0.835543217968543, 0.848059510883206,          0.424043071559413, 0.835997866672575, 0.863947607104433,          0.835997866672575, 0.835997866672575, 0.591401580344059,          0.842111664425906, 0.881741038155881, 0.965068597681967         ), PROX_CHAS = c(0.187639553192951, 0.324614821605945,          0.200650927390068, 0.369996201265779, 0.236995708134403,          0.362882313204726, 0.312339613016365, 0.162820120107843,          0.0780281620295796, 0.167384851183216, 3.19858778746232e-08,          0.0850792531740411, 0.102096070463208, 0.0439945201117045,          0.102096070463208, 0.102096070463208, 0.136369833447508,          0.0812086980787344, 0.0772642002388838, 0.115846127710365         ), PROX_SUPERMARKET = c(0.375814638453933, 0.389269910824952,          0.200651971059786, 0.385003628727568, 0.299832635957983,          0.36465940083402, 0.312339147167174, 0.162819600148508,          0.189775839444753, 0.552359009160243, 0.255060837787685,          0.0850782630125017, 0.102095775430648, 0.218453608018692,          0.102095775430648, 0.102095775430648, 0.234851160706955,          0.0812089624400091, 0.0772646744727167, 0.115845823699909         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 0L, 0L, 1L, 1L,          1L, 1L, 1L, 2L, 3L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 5L, 5L,          5L, 6L, 7L, 3L, 5L, 5L, 7L, 6L, 7L, 7L, 6L, 7L, 6L, 5L         ), WITHIN_350M_BUS = c(10L, 11L, 8L, 10L, 8L, 11L, 11L,          11L, 11L, 12L, 10L, 12L, 10L, 10L, 10L, 10L, 12L, 9L,          9L, 6L), WITHIN_1KM_PRISCH = c(5L, 4L, 6L, 5L, 4L, 4L,          4L, 4L, 4L, 3L, 4L, 7L, 4L, 4L, 4L, 4L, 7L, 4L, 3L, 3L         ), DNeighbour = c(0, 177.800164859097, 177.927304114115,          183.830544112433, 209.414229050261, 255.730732189355,          256.298430071289, 340.734621352468, 400.012164165761,          422.911486652465, 433.539123614328, 454.731292777225,          458.249480914599, 458.355374122121, 459.383167763576,          465.235085412617, 478.353560555335, 537.841800197616,          566.685977234179, 657.029055209383)), row.names = c("138",      "180", "231", "868", "355", "759", "144", "311", "764", "783",      "791", "860", "92", "672", "807", "166", "175", "44", "115",      "371"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.858900715856818,      0.858706535701793, 0.849562648779684, 0.807143779813252,      0.719961685785943, 0.718819451607752, 0.534441502009604,      0.396067198224903, 0.343027864018, 0.318774274852508, 0.271435231800742,      0.263737508454655, 0.263506620131688, 0.261268124661849,      0.24861181700196, 0.220839199991488, 0.108833668962001, 0.0655861373470302,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       557927464 
R squared (OOB):                  0.5304196 

$Forests[[139]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 375000, 340000,      368888, 350000, 4e+05, 370000, 368000, 350000, 331000, 390000,      420000, 310000, 350000, 4e+05, 4e+05, 380000, 395000, 377000,      390000), floor_area_sqm = c(92, 92, 92, 92, 92, 96, 92, 92,      104, 107, 93, 92, 104, 92, 92, 92, 93, 93, 92, 92), storey_order = c(3L,      1L, 2L, 2L, 1L, 2L, 1L, 2L, 3L, 2L, 3L, 4L, 3L, 1L, 3L, 4L,      3L, 4L, 2L, 4L), remaining_lease_mths = c(1132, 1139, 1133,      1102, 1111, 1098, 1090, 1100, 812, 869, 1113, 1133, 869,      1131, 1136, 1142, 1110, 1108, 1135, 1142), PROX_CBD = c(14.9536689261967,      14.8395197777251, 14.8395197777251, 14.8482953663728, 14.8482953663728,      15.0414874321427, 15.0414874321427, 14.9752079088984, 14.8739209120931,      15.2221855529023, 14.6879879340018, 14.7615340778399, 15.2437764157418,      14.6346875310408, 14.7935232496013, 14.8350589102573, 14.607628567626,      14.6649260398624, 14.5662038835035, 14.5596883563906), PROX_ELDERLYCARE = c(1.13414610370389e-06,      0.143171284390361, 0.143171284390361, 0.157028625587627,      0.157028625587627, 0.180026828914976, 0.180026828914976,      0.199763345782594, 0.224374856243457, 0.277621781700774,      0.267910637295867, 0.301679225956583, 0.313986883487753,      0.318998242024868, 0.348662381557687, 0.366071958673004,      0.363539264939185, 0.374463671675583, 0.396119369193007,      0.399519357429504), PROX_HAWKER = c(0.283688306330561, 0.426817039061835,      0.426817039061835, 0.332945546865787, 0.332945546865787,      0.135868389364205, 0.135868389364205, 0.202333554334061,      0.490895901627697, 0.252887916114098, 0.507741768149319,      0.582527401679673, 0.306302732963744, 0.567748890704442,      0.61938764744993, 0.625406547060166, 0.571839614015762, 0.515424723672587,      0.661743266121302, 0.625641729464286), PROX_MRT = c(1.45204946878565,      1.58589972239689, 1.58589972239689, 1.41585626072206, 1.41585626072206,      1.27219969611937, 1.27219969611937, 1.27457972333389, 1.67344316225132,      1.3991563615676, 1.51619569366002, 1.75082728996661, 1.43926724244883,      1.53691575721219, 1.80023823132094, 1.81204065654847, 1.42703012637354,      1.31347134818138, 1.61118001364451, 1.46473462254762), PROX_PARK = c(0.447466290733612,      0.573834160005083, 0.573834160005083, 0.40224168015695, 0.40224168015695,      0.270313948020077, 0.270313948020077, 0.259935562114549,      0.671840643384197, 0.500874596291267, 0.573128508978659,      0.739209778966795, 0.554495921895103, 0.633519966923, 0.794674698621811,      0.813480610745631, 0.592644125813336, 0.48594234877488, 0.741043428920938,      0.656743209310805), PROX_GOOD_PRISCH = c(5.64958645026222,      5.56483468018996, 5.56483468018996, 5.51627049340211, 5.51627049340211,      5.69200203864946, 5.69200203864946, 5.6171537261999, 5.63420261242257,      5.9271396376627, 5.38500296681299, 5.53447364393692, 5.96162295702861,      5.34297669438126, 5.58881641790013, 5.6396253746677, 5.28617698570013,      5.30673314037113, 5.30307595814772, 5.25302892838613), PROX_MALL = c(0.806257336881612,      0.805396060532061, 0.805396060532061, 0.649229394533883,      0.649229394533883, 0.767711199656331, 0.767711199656331,      0.689421511186311, 0.927972955155417, 1.02106462402642, 0.626246838364162,      0.897398400321744, 1.03199787585398, 0.633302242537752, 0.980189305249844,      1.03026167893405, 0.523782484457491, 0.439421746266814, 0.69438942428714,      0.550646738699849), PROX_CHAS = c(0.14456617920399, 0.204546662914522,      0.204546662914522, 0.274130336331615, 0.274130336331615,      0.163757574589084, 0.163757574589084, 0.230775629929228,      0.25243947150411, 0.0544459444778504, 0.160113448728027,      0.166975848000366, 4.60754704120663e-08, 0.120955806912261,      0.244316778428722, 0.298721071991625, 0.198893245072118,      0.0969357032130768, 0.0799578054615725, 0.19650938121062),          PROX_SUPERMARKET = c(0.16127040484797, 0.280088374069707,          0.280088374069707, 0.296829834724774, 0.296829834724774,          0.197268674737732, 0.197268674737732, 0.264202614673064,          0.298947211163532, 0.0768892314501321, 0.300165340388346,          0.408349928269047, 0.0947293086454089, 0.327836032489634,          0.416104879739584, 0.402632437071234, 0.223766299699327,          0.0969351949685631, 0.41943325951703, 0.27843134046436         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 5L, 5L, 5L, 5L, 4L,          4L, 4L, 3L, 5L, 6L, 3L, 4L, 6L, 2L, 2L, 4L, 6L, 3L, 3L         ), WITHIN_350M_BUS = c(6L, 5L, 5L, 9L, 9L, 9L, 9L, 9L,          6L, 8L, 7L, 4L, 8L, 8L, 6L, 6L, 7L, 8L, 6L, 7L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 4L, 3L,          3L, 4L, 4L, 3L, 4L), DNeighbour = c(0, 143.082078353473,          145.470104402822, 159.403116618319, 162.260814840525,          179.860983284996, 184.563057674758, 202.16281249363,          223.877608368518, 272.633317713216, 273.15402466261,          302.277508708478, 309.121238841666, 328.576077912447,          354.212323687926, 362.868776566533, 368.401284229669,          380.439364852157, 400.584586356097, 406.062338691032)), row.names = c("139",      "152", "543", "195", "762", "632", "793", "558", "602", "679",      "469", "620", "578", "583", "478", "27", "452", "17", "368",      "163"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.767094026589546,      0.759791133486193, 0.715543475397219, 0.706143042493174,      0.646102065338413, 0.629503327316289, 0.565705416354932,      0.484452722708366, 0.301633721271672, 0.299743470830207,      0.198783465309306, 0.176799122780005, 0.119186161142348,      0.0571568071398578, 0.0405734620513461, 0.031290762890755,      0.0149378314659917, 0.000718126418969117, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       800816576 
R squared (OOB):                  -0.0771439 

$Forests[[140]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(552000, 620000, 530000,      472000, 750000, 755000, 685000, 688000, 805000, 820000, 825000,      408000, 840000, 580000, 438888, 660000, 810000, 745000, 8e+05,      680000), floor_area_sqm = c(100, 102, 111, 84, 90, 90, 85,      85, 104, 87, 87, 84, 87, 100, 80, 90, 90, 90, 90, 85), storey_order = c(1L,      3L, 1L, 2L, 11L, 5L, 4L, 4L, 3L, 9L, 5L, 6L, 14L, 4L, 4L,      10L, 10L, 7L, 7L, 2L), remaining_lease_mths = c(910, 908,      767, 799, 1035, 1038, 1038, 964, 919, 1136, 1136, 647, 1141,      1013, 601, 993, 1045, 1057, 1063, 1066), PROX_CBD = c(4.64904487497998,      4.95292174150019, 4.3501519248406, 4.27761841825855, 4.88070069409732,      4.88070069409732, 4.89531124268982, 3.98134497452694, 4.1456930527125,      4.59114385332588, 4.59114385332588, 5.38657645344473, 4.70219035054856,      4.79843685927635, 3.37234644442932, 5.00856672458725, 5.99670752478149,      6.0390103189171, 2.97610984462207, 2.96405104980333), PROX_ELDERLYCARE = c(0.374326446996408,      0.0718437191527097, 0.203630745919553, 0.0937624362906392,      0.312658206579851, 0.312658206579851, 0.307888742732217,      0.168717999980802, 0.45180890917037, 0.125633226962327, 0.125633226962327,      0.465891927060243, 0.200702517977741, 0.72206466606869, 0.401810150563083,      0.403456137693205, 0.788986586736525, 0.798119493593788,      0.249991250520312, 0.206690358794928), PROX_HAWKER = c(0.28049665267082,      0.126776661941161, 0.509657348502929, 0.566432501893156,      0.595417483526792, 0.595417483526792, 0.546104933523636,      0.262344394473714, 0.668394095052703, 0.762382071136897,      0.762382071136897, 0.351855498276287, 0.646528219825606,      0.669525197575465, 0.449139985411189, 0.327438715714418,      0.199496524550099, 0.151348144296069, 0.405863058813757,      0.344572110572533), PROX_MRT = c(0.763812758173444, 0.804865461788644,      0.533693046359433, 0.40356540460373, 0.314337158810329, 0.314337158810329,      0.275254866694397, 0.310254962870727, 0.413017272318271,      0.586728793826683, 0.586728793826683, 0.675587286197546,      0.491479629856663, 1.13446368103879, 0.537190991659238, 0.699181106494864,      0.226103982865864, 0.225262429159589, 0.337225216160626,      0.377919714857806), PROX_PARK = c(1.08394438059851, 0.908868407872405,      0.941534540217125, 1.11098670131371, 1.53366372097489, 1.53366372097489,      1.60860995669454, 0.894232249415992, 1.16828897329218, 1.65596921250538,      1.65596921250538, 1.05249384295472, 1.77379186206272, 0.279857584881724,      0.408351250353425, 0.344858191728297, 0.97332058707081, 0.921128796109604,      0.4671588721782, 0.495024008458079), PROX_GOOD_PRISCH = c(3.57098970158234,      3.66355651606602, 3.77462248476967, 3.63213704613537, 3.0451226436528,      3.0451226436528, 2.96671225712824, 3.868083844602, 3.20846684942761,      2.86977258716747, 2.86977258716747, 3.52335384407219, 2.79995758206102,      4.40925832010736, 3.70512913004722, 4.86324650242379, 2.41026804261554,      2.45094763896652, 4.56048774292729, 4.62297298452196), PROX_MALL = c(0.528365937160055,      0.209686974260184, 0.812522711759855, 0.890632544268956,      0.63262312230698, 0.63262312230698, 0.696065710972082, 1.18273225000282,      1.18405339004253, 0.992224857230604, 0.992224857230604, 0.184401966361696,      0.970860317849455, 0.830412122132217, 0.743612757274357,      1.20968740927381, 1.14826594162738, 1.15586968043917, 0.362094853274792,      0.404565296260845), PROX_CHAS = c(0.251376462502101, 0.176171654931402,      0.237239443458304, 0.116543108560641, 0.278004299073392,      0.278004299073392, 0.22404402777184, 0.145112311632742, 0.401816380076581,      0.156405874770629, 0.156405874770629, 0.131272369045618,      0.0639130956899198, 0.120011087306801, 0.499618186459994,      0.358299181925541, 0.157172829578474, 0.103484302768675,      0.111500209373212, 0.0506108453744785), PROX_SUPERMARKET = c(0.311533400888457,      0.176171398022836, 0.125937465506006, 0.205058734443685,      0.278004958714438, 0.278004958714438, 0.224044642536509,      0.252387257990654, 0.431453687618191, 0.156405662038775,      0.156405662038775, 0.182486832055582, 0.0639125072278545,      0.0907294343182455, 0.499617451823641, 0.395196557309087,      0.212384620357781, 0.198926203527595, 0.111500172768761,      0.0506107476035619), WITHIN_350M_KINDERGARTEN = c(0L, 2L,      0L, 0L, 5L, 5L, 5L, 1L, 1L, 0L, 0L, 1L, 2L, 0L, 0L, 1L, 3L,      3L, 1L, 0L), WITHIN_350M_CHILDCARE = c(2L, 1L, 5L, 5L, 5L,      5L, 4L, 3L, 1L, 3L, 3L, 1L, 4L, 2L, 2L, 1L, 3L, 3L, 3L, 3L     ), WITHIN_350M_BUS = c(12L, 7L, 13L, 14L, 8L, 8L, 9L, 12L,      7L, 7L, 7L, 8L, 7L, 6L, 8L, 7L, 10L, 9L, 4L, 7L), WITHIN_1KM_PRISCH = c(2L,      2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 3L, 1L,      1L, 1L, 3L, 4L), DNeighbour = c(0, 330.148593555431, 349.371938497513,      367.046562221458, 549.142576138367, 551.539860027598, 621.85026635088,      691.446555202215, 699.476991183886, 724.79804461191, 725.914786664018,      741.898958721852, 770.849603348901, 853.68014896598, 1296.48642095056,      1317.87234062668, 1780.76776670451, 1796.63267908376, 1800.786318519,      1835.2463065278)), row.names = c("140", "216", "348", "709",      "39", "982", "916", "375", "320", "768", "333", "130", "854",      "610", "69", "515", "379", "832", "319", "389"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.936324044311404, 0.928833477096233, 0.921601129488503,      0.828950766485189, 0.827524829727525, 0.783559831427356,      0.736253661364417, 0.730573543757361, 0.712384072590292,      0.711572347566902, 0.69986886691967, 0.67828216204255, 0.61407238286542,      0.250947255756991, 0.234591533216312, 0.00342084744323192,      0.00173367029513248, 0.00138391160706832, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9947450143 
R squared (OOB):                  0.4680952 

$Forests[[141]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 345000, 390000,      356888, 330000, 365000, 369988, 350000, 374000, 405000, 385000,      370000, 398888, 375000, 378888, 370000, 385000, 353000, 365000,      330000), floor_area_sqm = c(90, 85, 100, 91, 85, 91, 91,      91, 94, 93, 93, 90, 93, 90, 90, 93, 93, 93, 90, 91), storey_order = c(2L,      6L, 6L, 5L, 4L, 5L, 4L, 1L, 3L, 6L, 4L, 3L, 6L, 4L, 6L, 3L,      5L, 1L, 3L, 3L), remaining_lease_mths = c(1016, 968, 942,      963, 992, 993, 1002, 992, 987, 1138, 1138, 997, 1127, 986,      949, 1127, 1140, 1136, 979, 951), PROX_CBD = c(13.0393088300804,      13.131637538161, 12.9172885276263, 13.1584578321731, 13.0825190214061,      13.2138793761114, 13.2138793761114, 12.6773565587662, 13.4804039164095,      12.9439612539798, 12.9439612539798, 13.5299248791723, 12.9439612539798,      13.5741440973944, 12.4403773011877, 12.9599687546274, 12.9599687546274,      12.9273038019752, 13.6373310118807, 12.402570085049), PROX_ELDERLYCARE = c(0.38924985743242,      0.425459762987539, 0.440978457512705, 0.528614390300154,      0.120371550198491, 0.200446926946864, 0.200446926946864,      0.36284597954094, 0.746393599063579, 0.119102012768026, 0.119102012768026,      0.737190256849548, 0.119102012768026, 0.759293685927778,      0.624054710630084, 0.230213196902471, 0.230213196902471,      0.250608726248769, 0.753498484846986, 0.628872951670854),          PROX_HAWKER = c(1.75849952292251, 1.67102672130552, 1.76689210194785,          1.59466084315792, 1.90213677974947, 1.87231067409155,          1.87231067409155, 1.72249172765999, 1.28815813567136,          2.07494386608678, 2.07494386608678, 1.28441999759135,          2.07494386608678, 1.13978469441664, 1.46996215979098,          2.16699861471209, 2.16699861471209, 2.14952956067865,          1.08343538740726, 1.50745216628998), PROX_MRT = c(0.103022581922205,          0.197259382412543, 0.0642144868642362, 0.258879114766752,          0.30821900832469, 0.348476568009787, 0.348476568009787,          0.142163643631393, 0.26513727845816, 0.464899886897548,          0.464899886897548, 0.189597864599581, 0.464899886897548,          0.147719870982538, 0.140157494228817, 0.576831878931421,          0.576831878931421, 0.585364307317434, 0.0904459633140829,          0.198968515523371), PROX_PARK = c(0.291844359651056,          0.350705699368152, 0.18581491955197, 0.332476768251147,          0.557623544885242, 0.701388397724732, 0.701388397724732,          0.484105342641425, 0.640650351334918, 0.700809394437081,          0.700809394437081, 0.695004999747215, 0.700809394437081,          0.739375101722708, 0.525489875872169, 0.828547076231476,          0.828547076231476, 0.834972281659159, 0.802899104641211,          0.61879465488716), PROX_GOOD_PRISCH = c(4.09066115622083,          4.16094245740848, 3.96344124390297, 4.13557899544262,          4.27923006279343, 4.43819501492863, 4.43819501492863,          3.92066991749349, 4.38951064564596, 4.27162250172191,          4.27162250172191, 4.45977917937361, 4.27162250172191,          4.41976113712118, 3.6640626331803, 4.35761410397793,          4.35761410397793, 4.33782029579385, 4.47444600576345,          3.69141799128789), PROX_MALL = c(0.199839805040887, 0.249640338015364,          0.125441786165087, 0.231810009894563, 0.482494809972804,          0.411800643307333, 0.411800643307333, 0.485078273736912,          0.548104683226502, 0.646092130793046, 0.646092130793046,          0.598877544697789, 0.646092130793046, 0.656440732478167,          0.37643645467035, 0.630320880177991, 0.630320880177991,          0.664096204002356, 0.719665126414215, 0.407881748949563         ), PROX_CHAS = c(0.19843851708658, 0.23569948169583,          0.146232137849481, 0.20604200841638, 0.1115602293269,          0.186991486151685, 0.186991486151685, 0.334175310205776,          0.196586841411628, 0.136400058110832, 0.136400058110832,          0.124645472322039, 0.136400058110832, 0.175269995719201,          0.376436475429729, 0.256311352337612, 0.256311352337612,          0.273668945808659, 0.111923036871509, 0.407881782403473         ), PROX_SUPERMARKET = c(0.199839014107547, 0.249639808314143,          0.125440795942109, 0.231809873410795, 0.482493892596986,          0.40197012970004, 0.40197012970004, 0.485077395132212,          0.253358431108118, 0.636728053790567, 0.636728053790567,          0.181636181040517, 0.636728053790567, 0.3594639622224,          0.426522673463594, 0.621743565428055, 0.621743565428055,          0.655577492568061, 0.371011221099329, 0.451295114828249         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 2L, 1L, 0L, 0L,          0L, 1L, 3L, 0L, 0L, 4L, 0L, 2L, 0L, 0L, 0L, 0L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(8L, 5L, 9L, 6L, 7L, 5L,          5L, 8L, 5L, 4L, 4L, 5L, 4L, 6L, 4L, 3L, 3L, 3L, 6L, 3L         ), WITHIN_350M_BUS = c(7L, 7L, 9L, 7L, 4L, 2L, 2L, 13L,          9L, 3L, 3L, 8L, 3L, 10L, 11L, 3L, 3L, 3L, 11L, 9L), WITHIN_1KM_PRISCH = c(7L,          7L, 7L, 7L, 5L, 6L, 6L, 4L, 5L, 4L, 4L, 6L, 4L, 9L, 4L,          4L, 4L, 4L, 8L, 4L), DNeighbour = c(0, 89.5302754868435,          133.731251247477, 163.859659428137, 299.671319354213,          418.730658744655, 421.268223931349, 446.635338601827,          475.515732263645, 495.093294273196, 495.255063115016,          500.100081667361, 502.054851311134, 616.644894597354,          618.810114556843, 622.243560630308, 622.691846466421,          639.883707231485, 675.300399706963, 682.55401371507)), row.names = c("141",      "153", "887", "339", "886", "474", "313", "400", "72", "882",      "732", "165", "936", "15", "444", "990", "95", "462", "660",      "80"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.965885146501227,      0.924698270873685, 0.888055857988315, 0.651636852919014,      0.388935484646722, 0.383249644606588, 0.326971643678164,      0.264863821512252, 0.224544771398167, 0.224218985209657,      0.214522986888729, 0.210645525921923, 0.0337826885339873,      0.0317049311253624, 0.0285314185119115, 0.0281281663277118,      0.01467080288593, 0.000446958499025466, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       339678380 
R squared (OOB):                  0.1629016 

$Forests[[142]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(465000, 485000, 470000,      460000, 455000, 452000, 450000, 475000, 403000, 450000, 545000,      437000, 455000, 435000, 460000, 450000, 465000, 420000, 412000,      490888), floor_area_sqm = c(95, 95, 93, 92, 92, 95, 95, 92,      90, 94, 93, 94, 93, 94, 92, 90, 90, 93, 90, 93), storey_order = c(4L,      6L, 5L, 3L, 5L, 3L, 3L, 5L, 3L, 4L, 3L, 3L, 4L, 2L, 3L, 2L,      5L, 1L, 3L, 5L), remaining_lease_mths = c(1110, 1113, 1125,      1097, 1108, 1121, 1126, 1098, 1053, 1123, 1134, 1120, 1096,      1113, 1107, 1134, 1132, 1101, 1034, 1141), PROX_CBD = c(14.3101587663686,      14.2445424628862, 14.2374266118925, 14.2694643570804, 14.2694643570804,      14.2856092918761, 14.1366846915735, 14.3437499696049, 14.2313196249897,      14.0429369190019, 14.4432157047801, 14.0691382395842, 14.3469943525049,      14.0214886887106, 14.2518409016409, 14.6796515041342, 14.6796515041342,      14.3298082323417, 13.9701294998534, 14.4799585140632), PROX_ELDERLYCARE = c(1.29024298571696,      1.24643506877499, 1.2819446304668, 1.14423906696184, 1.14423906696184,      1.29536834443332, 1.17371591683522, 1.14464302293932, 1.23431696680562,      1.1015647640471, 1.44181352445962, 1.08280856328681, 1.07571195137499,      1.04333655871926, 0.985840321219444, 1.45102259724198, 1.45102259724198,      0.943112693551276, 0.798789790509628, 1.06862824267944),          PROX_HAWKER = c(0.961388959141492, 0.968852406622053,          1.02089221118434, 0.826638245470088, 0.826638245470088,          1.14967766552968, 1.09084844555913, 0.74882220835846,          1.20453145676494, 1.07710025413616, 1.1926703176924,          1.21079813450924, 0.654543769257927, 1.2014358291776,          0.656651462258042, 0.836784965651702, 0.836784965651702,          0.494981643036057, 0.796241674024292, 0.462243392197612         ), PROX_MRT = c(0.148967878322013, 0.184117552261459,          0.148741201515391, 0.30438768875815, 0.30438768875815,          0.0748886383392391, 0.218319465176875, 0.217663394995295,          0.14509881944895, 0.324573358240557, 0.142722405117506,          0.281224364060027, 0.131478587775223, 0.325652198483679,          0.189142279194464, 0.391052893274669, 0.391052893274669,          0.122691316210064, 0.262922949537813, 0.082651796212049         ), PROX_PARK = c(0.444639968372477, 0.481320095248247,          0.440474428767772, 0.599699049952129, 0.599699049952129,          0.297003339879563, 0.474063272255088, 0.636899975343007,          0.30799989212087, 0.58019258504408, 0.164631246691225,          0.468913262301943, 0.731552922713316, 0.524931496780237,          0.785709089572823, 0.566439778554251, 0.566439778554251,          0.760551135167525, 0.929619749314005, 0.682350458092963         ), PROX_GOOD_PRISCH = c(5.21803047984022, 5.1542412945362,          5.16870486361587, 5.12184985907385, 5.12184985907385,          5.27158847877433, 5.09375212835948, 5.1680916684458,          5.24106386657147, 4.9857651679507, 5.44062149940817,          5.07622831499557, 5.13548460888622, 5.02043421457898,          5.03443000866885, 5.51577006817018, 5.51577006817018,          5.05687720866847, 4.76155598853922, 5.20136656590841),          PROX_MALL = c(0.199960318099191, 0.248497232357685, 0.22058685557285,          0.351657486288216, 0.351657486288216, 0.136646142991964,          0.295276560881227, 0.38589862433106, 0.200492724858517,          0.401409437181884, 0.0864828813466827, 0.352184781664103,          0.480981762762808, 0.399157770965225, 0.535261743386166,          0.38618207223371, 0.38618207223371, 0.644100917109673,          0.698652085628877, 0.64848155368644), PROX_CHAS = c(0.199960275799137,          0.185564313785613, 0.177995101264401, 0.120456720485379,          0.120456720485379, 0.136646133179357, 0.0995517477546361,          0.0401042229543167, 0.200492722653611, 0.0207330025336023,          0.0864829242311455, 0.167321001424632, 0.0578525184286013,          0.142774662207743, 0.121511881264649, 0.367772140885018,          0.367772140885018, 0.116678641770301, 0.224338502615803,          0.149921511006425), PROX_SUPERMARKET = c(0.199173279096103,          0.185564776027004, 0.177995229543633, 0.244158473149448,          0.244158473149448, 0.146294584623949, 0.0995512052866983,          0.165776473264822, 0.210915135620544, 0.0207321820187816,          0.0916346746399726, 0.167319845962294, 0.0704323341151683,          0.142773459146917, 0.121511691834874, 0.0442147517112349,          0.0442147517112349, 0.116679779166118, 0.281017798180362,          0.149922203205158), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 2L,          1L, 1L, 2L, 2L, 1L), WITHIN_350M_CHILDCARE = c(8L, 9L,          8L, 10L, 10L, 6L, 8L, 8L, 6L, 6L, 4L, 8L, 7L, 6L, 10L,          4L, 4L, 7L, 7L, 6L), WITHIN_350M_BUS = c(6L, 7L, 6L,          9L, 9L, 8L, 8L, 8L, 6L, 9L, 5L, 9L, 8L, 9L, 9L, 4L, 4L,          9L, 13L, 6L), WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 6L, 6L,          7L, 7L, 5L, 6L, 7L, 5L, 7L, 4L, 7L, 6L, 4L, 4L, 5L, 8L,          4L), DNeighbour = c(0, 67.0529098427709, 83.2865477132469,          159.184371308655, 161.230388717695, 179.211848097588,          185.567247064899, 216.507938324315, 241.871333904485,          268.125072934284, 277.875960058406, 304.422637151863,          319.65813438082, 327.321415293489, 351.992705191411,          387.018578171484, 390.244567095868, 489.392399922061,          500.495103994896, 511.426927654199)), row.names = c("142",      "349", "537", "434", "470", "32", "76", "70", "283", "754",      "240", "57", "488", "878", "73", "405", "996", "688", "301",      "979"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.965916102916041,      0.947662237997376, 0.81562591917455, 0.811104996325859, 0.769495768997635,      0.754024033574604, 0.673683876634996, 0.60269316261007, 0.525831570232947,      0.49672539309275, 0.416912103428938, 0.371289322873982, 0.348547980986001,      0.276995409906732, 0.182619931223686, 0.174518364119153,      0.00710860688388334, 0.00178873075797172, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       991079033 
R squared (OOB):                  -0.06458649 

$Forests[[143]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(358000, 327000, 402000,      370000, 387008, 315000, 313000, 318000, 340000, 310000, 355000,      416000, 355000, 370000, 320000, 302500, 315000, 613000, 350000,      550000), floor_area_sqm = c(91, 84, 93, 93, 97, 104, 84,      84, 91, 96, 93, 98, 104, 104, 93, 93, 91, 92, 108, 92), storey_order = c(1L,      1L, 4L, 1L, 2L, 4L, 4L, 1L, 2L, 1L, 4L, 4L, 4L, 4L, 3L, 2L,      3L, 4L, 1L, 2L), remaining_lease_mths = c(760, 802, 762,      782, 775, 777, 772, 785, 782, 772, 761, 779, 814, 805, 762,      764, 774, 1119, 809, 1124), PROX_CBD = c(15.6053010835868,      15.395293903354, 15.8715793299193, 15.9422949327985, 15.8742411347238,      15.5029529482698, 15.5029529482698, 15.4237712873611, 16.0688727275577,      16.0124832316584, 16.1297617902268, 16.1674221276903, 14.9797222810306,      15.7683454047388, 15.7384939989151, 15.7384939989151, 16.1626205207603,      15.4589251607201, 15.5495667695359, 15.4589251607201), PROX_ELDERLYCARE = c(1.18278326755006,      1.48326161455178, 1.28212929908789, 1.09392979000114, 0.784609866943175,      1.60634233373903, 1.60634233373903, 1.66429806880172, 1.20623153653763,      1.41328722649904, 1.29938230642316, 0.762025473923165, 1.40865121451131,      0.584689505447093, 1.81389464514152, 1.81389464514152, 1.55788424655444,      0.68815946921851, 0.619297318170404, 0.68815946921851), PROX_HAWKER = c(0.745618024005524,      0.763118949388798, 0.428166805124, 0.571238530927929, 0.921851461637316,      0.592613874358246, 0.592613874358246, 0.663653920640621,      0.426544691499688, 0.231474226543029, 0.335840869363962,      0.872582424517839, 1.17708155532767, 0.791474322012874, 0.367446283592148,      0.367446283592148, 0.113648031708615, 0.469966667540803,      0.5213921544653, 0.469966667540803), PROX_MRT = c(0.180817781363956,      0.486709870425329, 0.326170963259121, 0.22642613478059, 0.243577544220952,      0.579811001445256, 0.579811001445256, 0.641519249244255,      0.406145228037129, 0.526610558032509, 0.514969181151661,      0.447065767326062, 0.541117453484526, 0.523772975672589,      0.817431272071058, 0.817431272071058, 0.733071345608223,      0.729135125223405, 0.711232187253978, 0.729135125223405),          PROX_PARK = c(0.580682002012541, 0.736647900507106, 0.729541055973412,          0.749126986336644, 0.457440234531046, 0.518465718930498,          0.518465718930498, 0.527546900647844, 0.697314652170583,          0.641040622161513, 0.709135847201637, 0.490935310554108,          0.869949400509587, 0.270342199592644, 0.197322246351151,          0.197322246351151, 0.622244080025509, 0.194645215248471,          0.20876400491182, 0.194645215248471), PROX_GOOD_PRISCH = c(6.02648848177283,          5.79164197089728, 6.26806838260706, 6.35759010380229,          6.33578781760894, 5.8805780078001, 5.8805780078001, 5.79932453842233,          6.46919552361138, 6.39414010271149, 6.52049985370614,          6.62018800412964, 5.38873705701154, 6.2828979894293,          6.09593783675615, 6.09593783675615, 6.53246509089368,          6.00758296280353, 6.09891773314498, 6.00758296280353),          PROX_MALL = c(0.252610517585887, 0.561468969675593, 0.405953132327172,          0.275355858531219, 0.159478773824134, 0.667352945771092,          0.667352945771092, 0.726704111983395, 0.45653839484425,          0.598952481573277, 0.568960814514176, 0.402318259451987,          0.857174016474006, 0.400271919676516, 0.906877360376741,          0.906877360376741, 0.800586392071248, 0.632880647427991,          0.541358966367059, 0.632880647427991), PROX_CHAS = c(0.0925674017483885,          0.1019571402223, 0.170717118999449, 0.101928728560798,          0.159478805927642, 0.128101303359069, 0.128101303359069,          0.11942955396425, 0.123235071398074, 0.191204296760245,          0.215228497760129, 0.277543603442508, 0.0593781975043205,          0.406778788965278, 0.184740133551779, 0.184740133551779,          0.107377285719627, 0.206736748098593, 0.252209440491103,          0.206736748098593), PROX_SUPERMARKET = c(0.188530812320699,          0.0953919744611677, 0.323117190327721, 0.218983947734938,          0.159478664733051, 0.314517101025506, 0.314517101025506,          0.307102160965552, 0.399183655269817, 0.214004200599592,          0.353026966783941, 0.277543419111335, 0.101389584423307,          0.30290594542381, 0.287892528450529, 0.287892528450529,          0.191669323632479, 0.327859325274294, 0.243797536441002,          0.327859325274294), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 0L, 0L, 3L,          3L, 3L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 2L,          2L, 2L, 5L, 2L, 2L, 3L, 3L, 4L, 3L, 3L, 3L, 5L, 7L, 7L,          5L, 2L, 1L, 2L), WITHIN_350M_BUS = c(10L, 9L, 8L, 8L,          8L, 10L, 10L, 11L, 9L, 8L, 8L, 6L, 10L, 8L, 10L, 10L,          9L, 7L, 6L, 7L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          6L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 4L, 7L, 3L, 3L, 4L, 4L,          5L, 4L), DNeighbour = c(0, 309.292769927528, 330.345657788806,          337.196338126309, 413.763999053328, 429.049140350076,          429.562407491505, 478.29171898099, 484.87076669527, 540.18920525967,          575.475137944658, 626.435260561242, 639.904148072921,          643.486203844062, 723.937797658592, 727.737746730052,          753.132026805568, 776.608776597512, 777.853330437264,          780.475688256433)), row.names = c("143", "556", "294",      "708", "83", "162", "587", "293", "804", "740", "184", "351",      "984", "262", "803", "437", "335", "455", "236", "963"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.710575166180628, 0.673793615939968, 0.661524976581524,      0.51688626158212, 0.486924011112707, 0.485914858554739, 0.389938668333301,      0.377055003880493, 0.271397867519688, 0.20823820732723, 0.126580012098802,      0.10744007080219, 0.102549531014748, 0.0194973739143693,      0.0170503948761775, 0.00473919292404331, 9.77046710925761e-05,      4.50054076493059e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6133295494 
R squared (OOB):                  0.03907603 

$Forests[[144]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(440000, 475000, 460000,      430000, 426888, 422000, 390000, 455000, 485000, 460000, 458888,      450000, 510000, 468000, 420000, 382000, 452000, 425000, 403500,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 90, 92,      95, 92, 92, 92, 92, 92, 92, 86, 92, 92, 90, 90), storey_order = c(2L,      2L, 5L, 1L, 1L, 2L, 5L, 4L, 5L, 3L, 4L, 3L, 5L, 4L, 2L, 2L,      2L, 4L, 5L, 4L), remaining_lease_mths = c(1136, 1126, 1136,      1134, 1141, 1132, 978, 1136, 1141, 1137, 1130, 1136, 1133,      1124, 1139, 989, 1133, 988, 965, 973), PROX_CBD = c(12.6445046545469,      12.6532888174316, 12.5778468618744, 12.5852639843962, 12.5841594105866,      12.6523002899419, 12.4059518996545, 12.5530445309639, 12.8190940082697,      12.6444338023734, 12.6444338023734, 12.6444338023734, 12.8180148044036,      12.5372560863306, 12.4951121122816, 12.3082954752684, 12.8941535537835,      12.1902934701837, 12.0682850666201, 11.9491294576901), PROX_ELDERLYCARE = c(0.316798451576888,      0.373604611296459, 0.25879478544564, 0.3637938018331, 0.419823195233641,      0.17445131765005, 0.404564014080405, 4.52036057904239e-07,      0.268492105828742, 0.0933099122535032, 0.0933099122535032,      0.0933099122535032, 0.265081039187363, 0.066903342124331,      0.0780281999502717, 0.583230122785789, 0.346816364720296,      0.362754738306624, 0.36227142211874, 0.351349913726565),          PROX_HAWKER = c(0.385855619963418, 0.440383933038266,          0.361759384229333, 0.45815519033126, 0.512822421809829,          0.228019105088385, 0.551023632791116, 0.183834631869038,          0.146347761938812, 0.0943584031018698, 0.0943584031018698,          0.0943584031018698, 0.116173376637396, 0.184899994018696,          0.227760265989261, 0.732610931237137, 0.172433027954251,          0.536726116414185, 0.732401821736703, 0.693645859237657         ), PROX_MRT = c(0.290856617513635, 0.24828698655044,          0.325317058740364, 0.305105021876954, 0.285300897266269,          0.189124878414716, 0.467412150427879, 0.225183269009929,          0.0524349257152741, 0.135663244459145, 0.135663244459145,          0.135663244459145, 0.0414043955932523, 0.250680884626282,          0.288636635543175, 0.348338435446781, 0.133852264483784,          0.364194860258715, 0.353072027979069, 0.207404211118571         ), PROX_PARK = c(0.927332929158558, 0.981635622560504,          0.898636927133822, 0.998305920751222, 1.05356492524152,          0.76865606278053, 1.06942514246801, 0.665189387379371,          0.639036828502152, 0.61385987529272, 0.61385987529272,          0.61385987529272, 0.594833919624026, 0.614568616662392,          0.64692671777276, 1.248380402738, 0.541994755536806,          0.883674706708426, 1.2554933111164, 1.42337349535551),          PROX_GOOD_PRISCH = c(3.06407026512831, 3.08870420529617,          2.98751376551561, 3.02473222579279, 3.04090040576321,          3.02962689364369, 2.85954585658161, 2.90013878468328,          3.16783392704602, 2.98554640042679, 2.98554640042679,          2.98554640042679, 3.15789060893291, 2.87119716545371,          2.83249303987555, 2.82059786507503, 3.22227453062783,          2.54749739008747, 2.66094910730305, 2.48771655129493),          PROX_MALL = c(0.525247230278188, 0.475487624694748, 0.550769417999913,          0.450387082903272, 0.39575302739997, 0.680457081346124,          0.423524868376446, 0.801147315442336, 0.842111664425906,          0.835997866672575, 0.835997866672575, 0.835997866672575,          0.881741038155881, 0.863947607104433, 0.848059510883206,          0.312386349772529, 0.965068597681967, 0.835543217968543,          0.424043071559413, 0.591401580344059), PROX_CHAS = c(0.312339613016365,          0.362882313204726, 0.236995708134403, 0.324614821605945,          0.369996201265779, 0.162820120107843, 0.187639553192951,          0.0780281620295796, 0.0812086980787344, 0.102096070463208,          0.102096070463208, 0.102096070463208, 0.0772642002388838,          0.0439945201117045, 3.19858778746232e-08, 0.200650927390068,          0.115846127710365, 0.167384851183216, 0.0850792531740411,          0.136369833447508), PROX_SUPERMARKET = c(0.312339147167174,          0.36465940083402, 0.299832635957983, 0.389269910824952,          0.385003628727568, 0.162819600148508, 0.375814638453933,          0.189775839444753, 0.0812089624400091, 0.102095775430648,          0.102095775430648, 0.102095775430648, 0.0772646744727167,          0.218453608018692, 0.255060837787685, 0.200651971059786,          0.115845823699909, 0.552359009160243, 0.0850782630125017,          0.234851160706955), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L,          0L, 1L, 2L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L,          5L, 4L, 4L, 6L, 4L, 7L, 7L, 7L, 7L, 7L, 6L, 6L, 5L, 4L,          5L, 3L, 5L, 6L), WITHIN_350M_BUS = c(11L, 11L, 8L, 11L,          10L, 11L, 10L, 11L, 9L, 10L, 10L, 10L, 9L, 10L, 10L,          8L, 6L, 12L, 12L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L,          4L, 4L, 5L, 4L, 5L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 6L,          3L, 3L, 7L, 7L), DNeighbour = c(0, 61.4059888897771,          85.1670739176325, 91.6575466651451, 133.371109744725,          157.563784617847, 256.298430071289, 314.19904744107,          315.073266326421, 316.299973340254, 317.511237484364,          323.055128037921, 355.343876091572, 379.406962755701,          380.209124685305, 408.170315596421, 439.244402075705,          540.930269542818, 696.935113440436, 734.647536459665)), row.names = c("144",      "759", "355", "180", "868", "311", "138", "764", "44", "92",      "807", "166", "115", "672", "791", "231", "371", "783", "860",      "175"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.986075691601628,      0.973301480448839, 0.969110203118898, 0.935169550620282,      0.910116621875271, 0.771389594413052, 0.667626277335759,      0.665961613708545, 0.663621475342078, 0.661305939007973,      0.650647555054218, 0.586818928361249, 0.537702298572423,      0.536047806746191, 0.477907333882391, 0.41282912800951, 0.209620845534531,      0.0100065787978278, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       657596729 
R squared (OOB):                  0.4465329 

$Forests[[145]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(520000, 518000, 710000,      685000, 740000, 790000, 390000, 380000, 580000, 705000, 430000,      708000, 416000, 545000, 575000, 680000, 550000, 715000, 662000,      675000), floor_area_sqm = c(101, 93, 101, 102, 95, 95, 84,      89, 90, 90, 92, 90, 91, 101, 101, 95, 102, 95, 95, 95), storey_order = c(1L,      4L, 2L, 4L, 4L, 6L, 1L, 5L, 5L, 7L, 2L, 5L, 4L, 1L, 6L, 4L,      3L, 6L, 3L, 2L), remaining_lease_mths = c(929, 736, 933,      929, 954, 946, 783, 653, 1035, 1041, 687, 1031, 713, 938,      932, 1084, 761, 1099, 1093, 1093), PROX_CBD = c(4.23995407977096,      4.29040868967057, 4.27954241101507, 4.15915934561343, 4.09909964212454,      4.0690703028165, 4.91139217141794, 4.19301197437796, 3.73787601157873,      3.66612298934168, 5.17330173892321, 3.56091441303422, 5.10609859014938,      3.59494173601466, 5.56255806753875, 6.04001281876484, 6.04257091454572,      6.06656257116635, 6.11286474740545, 6.15852201326599), PROX_ELDERLYCARE = c(1.29004325258708,      1.28169673214061, 1.2084977158608, 1.31127122179184, 1.44919747885979,      1.5676876481467, 0.53976690699019, 1.05465194719342, 0.836612932336762,      0.851600940224316, 0.151830290872251, 0.885388735780595,      0.320090253923576, 0.692364880740494, 0.0599829320550621,      0.545921172841312, 0.548656319889636, 0.516985202466339,      0.471592353212743, 0.428116600598184), PROX_HAWKER = c(0.242979724501726,      0.224814451985556, 0.32780610994166, 0.296724849746491, 0.17841116959893,      0.124697776657811, 0.526793317066312, 0.297392426102438,      0.15676751515481, 0.157376553669701, 0.261285820740611, 0.210501859943959,      0.333568708255903, 0.142789347249218, 0.248163252655802,      0.0606577495598573, 0.19523132016882, 0.0900485470251793,      0.0855319563513606, 0.104458461300263), PROX_MRT = c(0.369514902074349,      0.386818680985449, 0.45128979061194, 0.361454140857751, 0.212082976996148,      0.103251860461982, 0.348715950460643, 0.670866804568908,      0.349678715281184, 0.281331556481731, 0.568944969773001,      0.1853881461208, 0.549226257235714, 0.346622733589529, 0.389634730949481,      0.53617676606472, 0.448203274012385, 0.530436532640755, 0.576684647572531,      0.567634817298681), PROX_PARK = c(0.410157320226128, 0.41256712340984,      0.496161896442625, 0.424082148410156, 0.271559050503854,      0.13380185088312, 0.454973393404149, 1.34668044149268, 1.14436990313984,      1.07330463343821, 0.375618223612072, 0.969171323132551, 0.534309547143458,      1.03638785093261, 0.136342453682232, 0.524571131123829, 0.651264615899835,      0.548254609843109, 0.517760851715104, 0.487498062645995),          PROX_GOOD_PRISCH = c(3.17375518133788, 3.11124078456354,          3.1984009939005, 3.27316539077024, 3.22696055518642,          3.17062142916436, 3.07957394860643, 4.04417128338034,          4.42346384619917, 4.46068770698473, 3.5160560831601,          4.51522724145722, 3.68539306501406, 4.68517728936996,          3.30515733544794, 2.00925132829891, 2.14268529299874,          2.03651743937875, 2.00772186702724, 1.97696478280336),          PROX_MALL = c(1.09860538958518, 1.14104925826379, 1.15459749844864,          1.03381347643634, 0.944512912155433, 0.898524741072254,          0.779372162435287, 1.51326780463499, 1.03774509228272,          0.971442928620489, 0.96360119165526, 0.87678025015548,          1.13513631747826, 0.814872047472938, 0.719385659919303,          0.387042201482337, 0.264532440460292, 0.365617038961166,          0.403935094648282, 0.446404896609829), PROX_CHAS = c(0.128246501394164,          0.0683025043642396, 0.151798893835737, 0.22718451096924,          0.199996678091121, 0.162166521351491, 0.297280152993809,          0.212246176955017, 0.0809467071188201, 0.108213750221125,          0.213267381067323, 0.0998361253719761, 0.37199840586913,          0.0573592222158038, 0.174009235365936, 0.134421273847083,          0.12619956254809, 0.0929349198733403, 0.0679258481743644,          0.0766942583569258), PROX_SUPERMARKET = c(0.23908756643158,          0.200251285306447, 0.314587216673928, 0.31622643534726,          0.232527384837024, 0.209119590970966, 0.212061147632098,          0.306178228663922, 0.184584314799668, 0.131005301990959,          0.266791583668656, 0.103744685928207, 0.424647979009491,          0.0573596645426592, 0.173881454941229, 0.0393286469640316,          0.178930757423705, 0.0785030623714358, 0.0895469396191502,          0.11965836137487), WITHIN_350M_KINDERGARTEN = c(4L, 3L,          3L, 4L, 5L, 4L, 1L, 0L, 1L, 1L, 2L, 1L, 0L, 1L, 1L, 1L,          0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(4L, 2L, 2L,          10L, 9L, 8L, 2L, 1L, 3L, 3L, 4L, 3L, 4L, 3L, 4L, 4L,          4L, 3L, 3L, 3L), WITHIN_350M_BUS = c(4L, 4L, 2L, 4L,          8L, 5L, 7L, 5L, 7L, 7L, 4L, 9L, 4L, 4L, 2L, 8L, 7L, 8L,          6L, 6L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L, 1L,          2L, 1L, 0L, 0L, 3L, 0L, 3L, 0L, 3L, 1L, 1L, 1L, 1L, 2L         ), DNeighbour = c(0, 71.2044210735021, 88.0325257710648,          92.6710398601193, 159.466410187749, 279.527218610577,          790.256846793398, 1039.44236911848, 1285.07656090266,          1306.28806409233, 1323.49704921827, 1348.81037236359,          1381.78689673774, 1529.31229182286, 1578.38856603903,          1809.83766495154, 1811.48231634875, 1840.10561641676,          1877.12270714897, 1931.30281547281)), row.names = c("145",      "286", "767", "763", "784", "575", "251", "993", "823", "903",      "270", "881", "853", "997", "596", "930", "453", "297", "536",      "23"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.997283261102977,      0.995848890693582, 0.995400431769605, 0.986411087229583,      0.958542356484513, 0.693171193570324, 0.504571964699742,      0.310529053597851, 0.294322169795035, 0.281304523533783,      0.262395726167904, 0.238245909633525, 0.139103076398658,      0.110274412321311, 0.01484259794883, 0.0144560800820785,      0.00850293072887816, 0.00306033646776941, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11913271694 
R squared (OOB):                  0.2497547 

$Forests[[146]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(585000, 455000, 370000,      410000, 347000, 330000, 370000, 485000, 334008, 445000, 285000,      350000, 3e+05, 460000, 290000, 335000, 358000, 450000, 491000,      358000), floor_area_sqm = c(91, 99, 90, 101, 90, 103, 102,      93, 103, 93, 92, 93, 99, 93, 92, 102, 104, 93, 92, 103),          storey_order = c(10L, 2L, 3L, 3L, 2L, 2L, 3L, 10L, 2L,          7L, 1L, 3L, 1L, 7L, 4L, 4L, 4L, 4L, 9L, 4L), remaining_lease_mths = c(995,          951, 977, 936, 971, 937, 927, 1112, 917, 1117, 697, 1018,          697, 1135, 690, 940, 815, 1131, 1137, 815), PROX_CBD = c(14.2059144167977,          14.3012013074868, 14.489397367385, 13.8911800577968,          14.6079806280174, 14.5165027597446, 14.12564920201, 14.8542518275748,          14.2719972222741, 14.9897790388493, 14.6519123293037,          14.9930585550483, 14.8036441916204, 15.0332592042754,          14.8961777358487, 14.4474740114555, 14.0960645211931,          15.1194109037639, 15.0782917837809, 13.3358607953132),          PROX_ELDERLYCARE = c(0.923774065318005, 0.93663965535868,          0.929205058584809, 1.40411939431899, 0.966138977916587,          0.389463724969334, 1.44816412197145, 0.671766786446111,          1.50921581969441, 0.622451014094897, 0.254409923718011,          0.766085625885291, 0.0965145667339982, 0.653175957864657,          0.090689252710872, 1.50338082315219, 1.70531999087377,          0.632846087105322, 0.811417024562957, 1.82755511634294         ), PROX_HAWKER = c(0.829910539202106, 0.693090021451824,          0.478869651742105, 0.687446499339865, 0.31691894051251,          1.0617726338971, 0.778468578249857, 0.3485650804915,          0.684102697062058, 0.366862032582334, 1.21550185558774,          0.230353911902381, 1.07372228066705, 0.344843972730765,          1.02395142210687, 0.588144724666333, 0.845358517598031,          0.399490681633122, 0.241120378832392, 0.304539750383927         ), PROX_MRT = c(0.127617925270923, 0.189883903502813,          0.0437298005890327, 0.241174931861397, 0.188565130994124,          0.0901878473788138, 0.476637705223286, 0.41695674877223,          0.347262283963267, 0.550628186781769, 0.218405848235923,          0.545901722651448, 0.363746184676816, 0.587916938270161,          0.437229774651496, 0.224566301285939, 0.217341234217998,          0.674936552563307, 0.604690005035212, 0.127895121346052         ), PROX_PARK = c(0.716522496183652, 0.812876767906526,          0.935596264101672, 0.90249149706597, 1.07918529837209,          0.278686390612803, 1.20701221478007, 1.00246315577637,          1.38760566459916, 0.886983007034967, 0.325486875199719,          0.937160160632966, 0.497172938499345, 0.858154923175006,          0.600185611341118, 1.55939681176166, 1.27300714898888,          0.773048101136696, 0.889047622652367, 0.385477438930733         ), PROX_GOOD_PRISCH = c(4.85056771881294, 4.98177209241419,          5.1963266927986, 4.74545729482833, 5.35450137646782,          4.93093863547281, 5.06260566207177, 5.49301939379528,          5.26118802945754, 5.61521578968116, 4.99149337529414,          5.6774973866509, 5.17691715074399, 5.67093979106873,          5.28070608730985, 5.45861643017911, 5.17863906457975,          5.74516136190441, 5.77803713337603, 4.27184313218833),          PROX_MALL = c(0.148456555084967, 0.236735170365795, 0.345992784345898,          0.267645090747045, 0.479398555662368, 0.38830118917563,          0.287395381957405, 0.497662931100388, 0.108121271181015,          0.615054651957031, 0.377416550632833, 0.691703794200818,          0.278400001713995, 0.671424081833306, 0.252669380741675,          0.12145856762689, 0.243284841315127, 0.744876648240093,          0.79347213158724, 0.761223886000054), PROX_CHAS = c(0.148456588323488,          0.214782230853987, 3.77135010377852e-08, 0.241761013919413,          0.166948923507452, 0.0918929757518676, 0.182188888557241,          0.139715392485403, 0.108121286081234, 0.101756162724623,          0.0736014920224838, 0.094086780959658, 0.190291087196022,          0.0438337826764906, 0.252669404800451, 0.121458549123021,          0.132339190026647, 0.0812821875339188, 0.128222338920945,          0.267020330020893), PROX_SUPERMARKET = c(0.154204342539502,          0.172194506074768, 0.31785895032531, 0.315435463566428,          0.218811722485387, 0.354026220875794, 0.277268812686258,          0.118312809115248, 0.105248463653719, 0.215874380558773,          0.128878263549785, 0.189746195069109, 0.190291125096353,          0.238848984717478, 0.186322037460738, 0.134916350552101,          0.226949559622758, 0.325050502595441, 0.286089695736963,          0.442772380644983), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 0L, 1L, 1L, 1L, 0L, 1L,          1L, 1L, 0L, 1L, 2L), WITHIN_350M_CHILDCARE = c(7L, 6L,          5L, 3L, 2L, 5L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 5L,          7L, 3L, 3L, 2L), WITHIN_350M_BUS = c(17L, 15L, 13L, 15L,          13L, 7L, 10L, 11L, 10L, 11L, 9L, 11L, 9L, 10L, 7L, 11L,          9L, 12L, 10L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 5L,          5L, 5L, 2L, 5L, 4L, 5L, 3L, 3L, 4L, 3L, 3L, 3L, 5L, 5L,          3L, 4L, 3L), DNeighbour = c(0, 141.034500934734, 354.594630953157,          481.4255716234, 515.622407442652, 595.319527884004, 606.640912184264,          664.833835758182, 747.800788497773, 800.620653438268,          829.40747068265, 833.889149492173, 834.722613543091,          848.455019575138, 871.055388471881, 879.455996387984,          883.499558337402, 931.014353625959, 931.870298904342,          938.05386880431)), row.names = c("146", "717", "374",      "599", "385", "592", "703", "159", "381", "500", "986", "836",      "995", "865", "87", "826", "880", "299", "568", "475"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.955301936034725, 0.734633650908311, 0.542591192365838,      0.4870087915196, 0.356697426265446, 0.338464566083055, 0.247696664463703,      0.132859476920427, 0.0737409756293145, 0.047623290167824,      0.0439976705802449, 0.0433371411052655, 0.0330905595023957,      0.0189735405705469, 0.0146489377525587, 0.0127535430881741,      0.000223575747310994, 0.000172669416930712, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5510495954 
R squared (OOB):                  0.1170559 

$Forests[[147]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(452000, 450000, 372500,      420000, 433000, 348000, 376000, 378888, 380000, 330000, 475000,      490000, 505000, 495000, 510000, 540000, 350000, 5e+05, 388000,      540000), floor_area_sqm = c(95, 95, 102, 93, 92, 100, 102,      90, 92, 91, 90, 92, 90, 93, 93, 93, 91, 92, 90, 90), storey_order = c(4L,      2L, 2L, 2L, 4L, 3L, 5L, 6L, 1L, 3L, 5L, 3L, 6L, 3L, 3L, 4L,      1L, 3L, 1L, 3L), remaining_lease_mths = c(1112, 1109, 931,      1099, 1084, 938, 944, 949, 1037, 951, 1031, 1038, 1033, 1076,      1076, 1075, 992, 1049, 956, 1067), PROX_CBD = c(12.1424265739316,      12.0901026943072, 11.9627383543319, 11.8999896789117, 11.8702915361943,      11.8646943012694, 11.9885535057438, 12.4403773011877, 11.6419253241709,      12.402570085049, 11.780035597066, 11.6213283462416, 11.6571985599938,      11.7824349405223, 11.734228152501, 11.8019303594103, 12.6773565587662,      11.4975151935682, 12.6254404323309, 11.5237533038112), PROX_ELDERLYCARE = c(0.88680281476439,      0.911165280518988, 0.96089261866182, 0.790393757138983, 0.670900780040593,      0.893707553155367, 0.468647269590137, 0.624054710630084,      0.626216066088841, 0.628872951670854, 0.389019901488026,      0.621923465733728, 0.400746835300904, 0.213047345375207,      0.217445500321488, 0.184707688528033, 0.36284597954094, 0.485429735975203,      0.92626814118798, 0.374021376468387), PROX_HAWKER = c(0.999275592501037,      0.995330006841388, 0.983415578941634, 0.820501997631561,      0.715369360111721, 0.888626336009462, 0.661637750611862,      1.46996215979098, 0.553081930127745, 1.50745216628998, 0.475091880549249,      0.537052085835962, 0.38372613736418, 0.411134055372247, 0.366555491930585,      0.425288384889406, 1.72249172765999, 0.320302217757218, 1.13552097839855,      0.235307086042243), PROX_MRT = c(0.303530488733859, 0.231980634651484,      0.122900516984256, 0.261250382411254, 0.146531371307633,      0.214047355776769, 0.253577460439113, 0.140157494228817,      0.168432978085695, 0.198968515523371, 0.149757666469573,      0.182944945438028, 0.187661086924798, 0.323171872402698,      0.276453864170284, 0.341923672362566, 0.142163643631393,      0.24936700359253, 0.252582104498609, 0.148196296616071),          PROX_PARK = c(0.699596772952975, 0.750469455971567, 0.836149627657164,          0.813614799778521, 0.8322137924942, 0.747986195716587,          0.965214735166117, 0.525489875872169, 0.654970873229416,          0.61879465488716, 0.915827670442916, 0.643411448820926,          0.822874314333037, 1.04913519120928, 1.00928973198994,          1.09015045463689, 0.484105342641425, 0.698336840868775,          0.682542858399859, 0.808531626238996), PROX_GOOD_PRISCH = c(3.20088339163048,          3.19167768034691, 3.15511978010431, 3.00567179865442,          2.91053685401804, 3.05097986431403, 2.84793008582659,          3.6640626331803, 2.71543842399088, 3.69141799128789,          2.67648686403773, 2.69528593883292, 2.58492752090912,          2.5757070458522, 2.54247396470066, 2.57167610218627,          3.92066991749349, 2.48345794754568, 3.31643945338342,          2.43173748992112), PROX_MALL = c(0.171446483339376, 0.1200910408013,          0.161680393170103, 0.283076960540796, 0.385092319171944,          0.265637621954407, 0.581599658792334, 0.37643645467035,          0.576398809288588, 0.407881748949563, 0.657761426948524,          0.597386337892971, 0.718523422751835, 0.732391369928616,          0.781937846313192, 0.70263709534569, 0.485078273736912,          0.805279144871904, 0.289170330853986, 0.840908486660855         ), PROX_CHAS = c(0.171446425970546, 0.120090990225825,          0.161680400961643, 0.283076936045466, 0.179381733260264,          0.265637621677666, 0.0548782345589675, 0.376436475429729,          0.118628580179885, 0.407881782403473, 0.165734916528407,          0.130352204164602, 0.162236141473446, 0.182294192745256,          0.203102352137365, 0.144895120017984, 0.334175310205776,          0.18789773503711, 0.248410865511824, 0.0822817354855642         ), PROX_SUPERMARKET = c(0.178201527122821, 0.109512866312649,          0.107037284539066, 0.236972988988714, 0.31749021679057,          0.211091622880127, 0.41771106664497, 0.426522673463594,          0.0879874709963817, 0.451295114828249, 0.328761363845442,          0.0679201472407272, 0.248678179468178, 0.186528474083994,          0.206717744357565, 0.149354766345577, 0.485077395132212,          0.186124684843571, 0.298638993269614, 0.113409172087645         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 8L, 8L, 7L, 9L, 7L,          6L, 4L, 6L, 3L, 9L, 6L, 8L, 8L, 8L, 7L, 8L, 4L, 8L, 4L         ), WITHIN_350M_BUS = c(9L, 8L, 9L, 9L, 10L, 8L, 14L,          11L, 8L, 9L, 8L, 8L, 9L, 11L, 10L, 13L, 13L, 8L, 12L,          5L), WITHIN_1KM_PRISCH = c(5L, 4L, 4L, 5L, 5L, 5L, 7L,          4L, 5L, 4L, 6L, 6L, 5L, 7L, 5L, 6L, 4L, 4L, 6L, 4L),          DNeighbour = c(0, 72.8672144941893, 237.686002613331,          238.796360453697, 293.028289848346, 300.84789588455,          424.296764264156, 473.131354681968, 521.235292785841,          532.525147871927, 538.592367488565, 541.43543444461,          613.359596167105, 678.891396593951, 700.905802371347,          702.807202095821, 721.455779245703, 734.908923721508,          762.65100604679, 767.863071708311)), row.names = c("147",      "117", "295", "185", "110", "232", "486", "444", "421", "80",      "263", "89", "977", "260", "409", "342", "400", "553", "111",      "652"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.982070553503103,      0.817548062217289, 0.815926202369064, 0.72994770284156, 0.716551470954673,      0.48256406646641, 0.384820573804748, 0.290750835148459, 0.269398244287624,      0.258078131078621, 0.25281398064346, 0.13099923917617, 0.0476604426815028,      0.0278206492661929, 0.026331067964367, 0.0137408218171121,      0.00705458116215656, 0.000183045596821507, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2668924255 
R squared (OOB):                  0.4191416 

$Forests[[148]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 412000, 390000,      380000, 376888, 438000, 440000, 410000, 435000, 435000, 430000,      417000, 447000, 575000, 565000, 585000, 360000, 540000, 615000,      658000), floor_area_sqm = c(104, 103, 104, 104, 104, 104,      100, 100, 99, 100, 104, 99, 107, 93, 93, 93, 84, 93, 84,      84), storey_order = c(2L, 4L, 1L, 1L, 3L, 2L, 3L, 3L, 2L,      4L, 2L, 3L, 3L, 5L, 6L, 4L, 2L, 4L, 2L, 3L), remaining_lease_mths = c(922,      918, 809, 924, 810, 812, 911, 915, 928, 924, 819, 914, 782,      1133, 1127, 1142, 762, 1142, 1122, 1120), PROX_CBD = c(11.8892341343185,      11.9871965659798, 11.7882471009294, 12.0301392517655, 11.622690560426,      11.7215458353159, 12.2087069526051, 12.2087069526051, 12.2106818490232,      12.114386347938, 11.547248638023, 12.2815153207229, 11.7840832214562,      12.4342034244884, 12.4937468159193, 12.454441113408, 11.4815172953657,      12.5378737745647, 12.3801819754074, 12.4891302242583), PROX_ELDERLYCARE = c(0.110349805405523,      0.210296865683283, 0.114277277444971, 0.255083942589415,      0.175524774720266, 0.240093333498969, 0.434858408662556,      0.434858408662556, 0.442541563379791, 0.421163091926404,      0.246353759583753, 0.513657423159811, 0.481333190444255,      0.678867196986192, 0.714783075399861, 0.717258387107597,      0.182032582488253, 0.76025522927712, 0.738453704244922, 0.707031754326944     ), PROX_HAWKER = c(0.684056106771311, 0.625285574708341,      0.647051853283446, 0.598391326300702, 0.783966268147895,      0.609281739536534, 0.692592935098248, 0.692592935098248,      0.524204307723605, 0.885134801830427, 0.837769476188058,      0.52278816815954, 0.436117874461739, 0.504612881494125, 0.680821394190482,      0.459376407452819, 0.728271246274353, 0.672948721825079,      0.261296216065877, 0.384467206049481), PROX_MRT = c(1.00424261648768,      0.923336133969517, 1.00317447086964, 0.885297742933312, 1.15515804744233,      0.989064774064853, 0.89623888155871, 0.89623888155871, 0.743103019894999,      1.10882075300419, 1.16228231940478, 0.703998835661039, 0.81394482428473,      0.586933783104383, 0.743366527772832, 0.518913352820399,      0.756359380624344, 0.707305973375369, 0.367154517888221,      0.38468199977318), PROX_PARK = c(1.19263079577799, 1.09395352284574,      1.24877122811849, 1.04875150887626, 1.41684131410086, 1.28416187507733,      0.954913184146477, 0.954913184146477, 0.863487882808023,      1.14970360230785, 1.4881280763212, 0.796788171077343, 1.20101103678102,      0.628391467794767, 0.683130710636032, 0.580711209690395,      1.50398184725757, 0.628331945846246, 0.605799570777928, 0.50651752093578     ), PROX_GOOD_PRISCH = c(0.842915880539328, 0.855677549512306,      0.713901761199557, 0.860616187528585, 0.733057242670121,      0.585140695782779, 1.04944877580977, 1.04944877580977, 0.91368762909787,      1.17061030478036, 0.735233663606362, 0.952579960345566, 0.357669915539773,      1.01367306567257, 1.16886515239787, 0.990054087408291, 0.365254403810308,      1.17951788917503, 0.823417580851307, 0.94986022590219), PROX_MALL = c(0.787722851944232,      0.732793638615111, 0.741052769880115, 0.707201836140707,      0.868993594299523, 0.690287469384684, 0.802829369116586,      0.802829369116586, 0.634332011832188, 0.995792127022496,      0.918014501744059, 0.630705874818675, 0.489619370966043,      0.600548053404267, 0.778202426893423, 0.549832225559512,      0.763531318053358, 0.766094086501437, 0.344173235497563,      0.458049841664737), PROX_CHAS = c(0.124859952031804, 0.171681037809818,      0.0554870656895364, 0.202915262499126, 0.151742844958785,      0.164718468919614, 0.0852358826892552, 0.0852358826892552,      0.140964983635816, 0.138740180982893, 0.157099147473317,      0.0753088652692227, 0.0667093090499658, 0.134041173915956,      0.147744885974614, 0.134313038880304, 0.0516610437101642,      0.187116592266412, 0.126495411341712, 3.00974727266337e-08     ), PROX_SUPERMARKET = c(0.114394571204967, 0.172282484091702,      0.0453848138423891, 0.20670525505664, 0.151741730066283,      0.169255457402684, 0.414959148864982, 0.414959148864982,      0.377835654599335, 0.459680111992834, 0.157098334004615,      0.448534184110051, 0.379080894647373, 0.543693418915242,      0.667447252804164, 0.499432454100223, 0.19171128272723, 0.707597649659388,      0.30203349112312, 0.425107542879533), WITHIN_350M_KINDERGARTEN = c(2L,      2L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 0L, 2L,      0L, 0L, 2L, 2L), WITHIN_350M_CHILDCARE = c(8L, 5L, 8L, 5L,      7L, 6L, 5L, 5L, 5L, 1L, 7L, 6L, 3L, 4L, 4L, 4L, 5L, 5L, 3L,      2L), WITHIN_350M_BUS = c(9L, 6L, 9L, 7L, 8L, 10L, 11L, 11L,      11L, 8L, 11L, 12L, 7L, 12L, 11L, 11L, 14L, 11L, 8L, 10L),          WITHIN_1KM_PRISCH = c(2L, 2L, 3L, 2L, 2L, 3L, 1L, 1L,          2L, 1L, 2L, 2L, 4L, 1L, 1L, 3L, 3L, 1L, 4L, 5L), DNeighbour = c(0,          99.9908067205484, 147.570531398636, 153.19375419232,          272.975583095108, 281.272817574993, 333.32455282893,          333.554045498725, 335.139315964009, 339.644421125647,          346.083552137122, 411.563990135597, 491.839496562457,          578.96385847995, 609.325679890465, 609.606785060908,          639.298835168077, 648.085725940854, 650.685706814869,          701.024705604532)), row.names = c("148", "689", "508",      "727", "750", "625", "410", "680", "42", "707", "598", "362",      "340", "310", "24", "641", "213", "343", "315", "505"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.959724304255487, 0.913337352925067, 0.906771247521882,      0.719734131752512, 0.703944013105787, 0.598947478156527,      0.598465545973702, 0.595132760157784, 0.58562681923653, 0.5719559561418,      0.429452617183864, 0.257816473243587, 0.101072182481116,      0.0597820811287425, 0.0594416120535579, 0.0283413440225468,      0.0211209203580402, 0.0191709295221447, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5652005238 
R squared (OOB):                  0.2760532 

$Forests[[149]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(670000, 439000, 410000,      588000, 648000, 435000, 516000, 408000, 5e+05, 565000, 440000,      450000, 448000, 430000, 548000, 430000, 638000, 630000, 420000,      380000), floor_area_sqm = c(94, 97, 97, 95, 116, 98, 98,      91, 105, 103, 92, 92, 105, 102, 95, 93, 102, 102, 91, 91),          storey_order = c(6L, 3L, 4L, 3L, 4L, 1L, 3L, 3L, 2L,          4L, 3L, 1L, 1L, 3L, 2L, 3L, 9L, 6L, 1L, 3L), remaining_lease_mths = c(1104,          669, 665, 1025, 871, 692, 698, 674, 857, 852, 677, 679,          866, 869, 981, 728, 869, 870, 742, 691), PROX_CBD = c(8.58683984966127,          8.73211086874077, 8.66747718420982, 8.51090417959469,          8.27332873959955, 8.85689554561162, 8.70928269501252,          8.96374942103709, 8.19182633034048, 8.19182633034048,          8.7589377611275, 8.7589377611275, 8.05276498978228, 8.77938926255451,          8.37940280964872, 8.20083785223568, 7.86314261154951,          7.86314261154951, 8.31995738049774, 9.09613481662016),          PROX_ELDERLYCARE = c(0.203840329735754, 0.292319821872094,          0.0441159965049124, 0.120425912751251, 0.354571010374291,          0.272187629818594, 0.119444653145476, 0.267188539522683,          0.444818640633349, 0.444818640633349, 0.169235371196244,          0.169235371196244, 0.599632276485302, 0.374310234303432,          0.335901694998922, 0.41240614163537, 0.731462959428347,          0.731462959428347, 0.259768432786295, 0.297153722290783         ), PROX_HAWKER = c(0.433030813326955, 0.436547444862961,          0.357845486047337, 0.166697492306482, 0.610975272844239,          0.446318851105742, 0.281172749103646, 0.393731145214296,          0.553760551741158, 0.553760551741158, 0.330091511745513,          0.330091511745513, 0.560005371648267, 0.0530841043788875,          0.203869560106314, 0.35604829505958, 0.573870222021737,          0.573870222021737, 0.387410687724852, 0.276770006011078         ), PROX_MRT = c(0.751078096441513, 0.600073719023998,          0.874328108605637, 0.608243230971526, 1.0936063211659,          0.372678744867538, 0.379410256905797, 0.71987240697712,          1.08457427678223, 1.08457427678223, 0.338391484905848,          0.338391484905848, 1.12051759514643, 1.18818107396501,          0.62312262100292, 0.805467939952349, 0.85984195598231,          0.85984195598231, 0.705543842504761, 1.2652859093471),          PROX_PARK = c(0.52118662053352, 0.617507126900098, 0.691303172853456,          0.368529270986479, 0.477465658778908, 0.479885299937475,          0.513364518506117, 0.60552725382935, 0.374102285306053,          0.374102285306053, 0.469340752260783, 0.469340752260783,          0.30128672956265, 0.700959888788064, 0.394842599629624,          0.393072899865764, 0.281207712521794, 0.281207712521794,          0.517920409018535, 0.429900368262469), PROX_GOOD_PRISCH = c(1.16640042723588,          1.31940815963163, 1.23754792076915, 1.13331232297991,          0.856939381531897, 1.47413984574199, 1.35677240305411,          1.13785719900195, 0.769163347741007, 0.769163347741007,          1.40615721612308, 1.40615721612308, 0.631981624625733,          0.963274696928036, 1.14854892992093, 1.04754826657838,          0.562813849840511, 0.562813849840511, 1.20021801549651,          0.657187468393487), PROX_MALL = c(0.632538285087724,          0.469553394647833, 0.740457696387364, 0.540250505232014,          0.991200103712322, 0.241772845363545, 0.313890580083005,          0.480317195978648, 0.997182626507123, 0.997182626507123,          0.264395031718586, 0.264395031718586, 1.07178760783233,          0.946404029132472, 0.651389947232486, 0.844084234929545,          0.943364056194349, 0.943364056194349, 0.768764019555169,          0.916512124719577), PROX_CHAS = c(0.237191200694799,          0.0664211666443358, 0.34300149800099, 0.0869956868442428,          0.413431749899638, 0.157458356405151, 0.112175615725657,          0.143131544605207, 0.311461966699573, 0.311461966699573,          0.0806835690144568, 0.0806835690144568, 0.167974733321899,          0.064920565519497, 0.11938167830482, 0.0460460495231756,          0.201852081003395, 0.201852081003395, 0.1066489590073,          0.209184408253321), PROX_SUPERMARKET = c(0.35437102597818,          0.350370254212894, 0.158725757407685, 0.0869967242830128,          0.502190497784501, 0.224853982916395, 0.221335227738319,          0.181164390242962, 0.485938543293979, 0.485938543293979,          0.24726445439454, 0.24726445439454, 0.372458117254617,          0.239175324970861, 0.282093113359979, 0.436961702644775,          0.115543350477338, 0.115543350477338, 0.284909088626731,          0.235755012868274), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 2L, 0L, 2L, 2L, 1L, 0L, 0L, 2L, 2L, 3L, 1L, 1L,          1L, 4L, 4L, 1L, 1L), WITHIN_350M_CHILDCARE = c(5L, 6L,          2L, 6L, 4L, 7L, 7L, 4L, 2L, 2L, 8L, 8L, 3L, 2L, 4L, 2L,          3L, 3L, 3L, 3L), WITHIN_350M_BUS = c(4L, 7L, 5L, 5L,          8L, 7L, 6L, 6L, 7L, 7L, 6L, 6L, 5L, 4L, 6L, 7L, 2L, 2L,          7L, 7L), WITHIN_1KM_PRISCH = c(2L, 3L, 2L, 3L, 2L, 3L,          4L, 2L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 2L, 2L, 2L, 2L, 2L         ), DNeighbour = c(0, 165.467673941447, 202.423008907436,          263.033932716358, 371.631458032451, 384.914998792312,          392.675212184084, 396.446337020306, 409.289735778087,          415.608356712899, 418.613830389618, 419.18233090559,          534.820082864846, 573.937641400036, 629.857271161451,          774.868278408346, 779.913439157833, 783.250763808308,          816.998052663629, 822.082112900045)), row.names = c("149",      "842", "331", "94", "795", "397", "446", "692", "674", "128",      "386", "194", "635", "606", "998", "79", "931", "476", "716",      "715"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.920615030697124,      0.882415528357183, 0.80573096045802, 0.633044022811434, 0.609602354723305,      0.59573936308617, 0.588961356885813, 0.565693232922125, 0.554151253582374,      0.548641592559998, 0.547598058728188, 0.332653996765303,      0.262743233322973, 0.170551365241277, 0.0124468828396308,      0.00999175326049286, 0.00850813482172898, 0.000152041088309972,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6138051913 
R squared (OOB):                  0.2940008 

$Forests[[150]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 283000, 320000,      304500, 338000, 3e+05, 315000, 285000, 288000, 350000, 292000,      258000, 416000, 3e+05, 4e+05, 420000, 433000, 416000, 428000,      365000), floor_area_sqm = c(103, 84, 104, 104, 93, 84, 84,      84, 84, 91, 84, 84, 98, 84, 92, 92, 92, 92, 92, 92), storey_order = c(4L,      4L, 3L, 3L, 3L, 1L, 2L, 3L, 1L, 1L, 1L, 1L, 4L, 2L, 2L, 5L,      4L, 4L, 4L, 1L), remaining_lease_mths = c(784, 781, 788,      783, 778, 766, 783, 776, 770, 957, 761, 781, 779, 803, 1130,      1143, 1130, 1140, 1140, 1137), PROX_CBD = c(16.4938482623735,      16.4061281598547, 16.4061281598547, 16.62872619839, 16.3741208173644,      16.3138748954346, 16.7380919986833, 16.2311391435218, 16.2681803933938,      16.4034806336055, 16.3662877971208, 16.1631400386504, 16.1674221276903,      16.9304098343314, 16.1976566517324, 16.1537572283104, 16.055983361932,      16.055983361932, 16.1831859860721, 16.0046521285213), PROX_ELDERLYCARE = c(0.54260343924556,      0.45678545326778, 0.45678545326778, 0.618318415391572, 0.617661573186221,      0.259941730365991, 0.827102139700697, 0.252142982647588,      0.20801878428071, 0.839978570407226, 0.177020457931737, 0.194171564025932,      0.762025473923165, 0.828632612828485, 9.89208662673193e-07,      0.0462823216560119, 0.146417557277997, 0.146417557277997,      0.0701319802482612, 0.20718686492254), PROX_HAWKER = c(1.26080574998962,      1.27662029927611, 1.27662029927611, 1.328000513126, 1.08852003222566,      1.19589315813724, 1.22509286076097, 1.12300848995143, 1.14155805943316,      0.889236545198411, 1.20613696965479, 1.03995728027003, 0.872582424517839,      1.5376564224438, 1.03146250928298, 0.986028325459381, 0.897672222950446,      0.897672222950446, 1.00994702859189, 0.855932206484513),          PROX_MRT = c(0.884131305433386, 0.840195727203247, 0.840195727203247,          1.00682967627403, 0.70945464840636, 0.896077488488813,          0.950017645146174, 0.830985280221221, 0.896888955057001,          0.660139833101166, 1.07002489239586, 0.842728374229233,          0.447065767326062, 1.07382507713197, 1.02706758196582,          1.02112351286352, 0.936151237003446, 0.936151237003446,          1.08237519657155, 0.883219311345816), PROX_PARK = c(0.418424058290637,          0.499042267647801, 0.499042267647801, 0.402413252549947,          0.371358045807383, 0.695881850270676, 0.234693283811741,          0.723677668737743, 0.750067315759091, 0.251028276822116,          0.840406553837571, 0.707513815343702, 0.490935310554108,          0.542342748872478, 0.822565203699192, 0.793519520304926,          0.683762717294504, 0.683762717294504, 0.848434833813522,          0.619767633008914), PROX_GOOD_PRISCH = c(6.98980449668537,          6.91087941258894, 6.91087941258894, 7.12509880547394,          6.84990365493624, 6.84997592861041, 7.2060126627476,          6.76533990958697, 6.81173689796023, 6.84769610957781,          6.93507101526025, 6.70927938580052, 6.62018800412964,          7.43262545617428, 6.78043949525415, 6.74044920052795,          6.63421015362065, 6.63421015362065, 6.78038310261662,          6.57618460349959), PROX_MALL = c(0.506769239398443, 0.408074329267436,          0.408074329267436, 0.615098633053939, 0.523710338103731,          0.242195958154985, 0.804164390636077, 0.175221521556568,          0.188162247463955, 0.630333401213655, 0.298590834338171,          0.0870960802892481, 0.402318259451987, 0.876234606673171,          0.189710317758296, 0.180580587241737, 0.118546137622893,          0.118546137622893, 0.241735562355662, 0.110811660449771         ), PROX_CHAS = c(0.128042490192306, 0.178111672550416,          0.178111672550416, 0.218296317772089, 0.0863783451683255,          0.218904529587093, 0.206110482646065, 0.170601730776313,          0.160774225575301, 0.142060383584178, 0.209004221202181,          0.081875317774622, 0.277543603442508, 0.477517805288537,          0.0868060808909073, 0.0922372285822684, 0.110329053122027,          0.110329053122027, 0.148113838308576, 0.114687044901222         ), PROX_SUPERMARKET = c(0.128042463684685, 0.17811123384324,          0.17811123384324, 0.218296734885766, 0.0863776808909183,          0.204979568486045, 0.283037745664543, 0.137275095711229,          0.189660657064324, 0.142061131074292, 0.303085580417471,          0.0873208554119548, 0.277543419111335, 0.422051752195747,          0.195853508350489, 0.186806037215644, 0.123371553336512,          0.123371553336512, 0.247969406526707, 0.112847248683738         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 1L, 0L,          1L, 0L, 0L, 2L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          3L, 5L, 6L, 3L, 8L, 6L, 3L, 1L, 8L, 8L, 3L, 3L, 7L, 3L         ), WITHIN_350M_BUS = c(6L, 8L, 8L, 6L, 4L, 8L, 5L, 10L,          11L, 7L, 5L, 11L, 6L, 4L, 7L, 7L, 7L, 7L, 7L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 5L, 4L, 5L, 5L, 4L, 4L, 5L, 5L, 3L, 5L,          4L, 5L, 5L, 4L, 5L), DNeighbour = c(0, 95.5879993082721,          102.224648570918, 139.992882834177, 176.909063014984,          288.519182043939, 294.613383167652, 331.792605051135,          348.236612533455, 371.847912303485, 421.192676872634,          423.510724495409, 447.667662856111, 450.229024997445,          544.223460602437, 579.647286991499, 603.066180638314,          607.648704850899, 613.998639895916, 614.976007214147)), row.names = c("150",      "49", "595", "26", "788", "848", "896", "945", "798", "206",      "687", "872", "351", "833", "427", "869", "741", "538", "661",      "594"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.952264414722417,      0.945501681927413, 0.899045728676723, 0.841342033599054,      0.608233735616548, 0.593665439062292, 0.502563106279731,      0.461515148508871, 0.402454640912393, 0.281877925112006,      0.276407160239222, 0.220992651374515, 0.21531221324882, 0.0470292235448469,      0.0124533180220148, 0.00147130546016927, 0.000561102076360802,      1.00871570657036e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3170101649 
R squared (OOB):                  0.02902837 

$Forests[[151]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 450000, 390000,      423800, 415000, 435000, 550000, 390000, 548000, 478000, 360000,      429000, 447000, 422800, 430000, 410000, 438000, 425000, 430000,      376888), floor_area_sqm = c(91, 105, 102, 104, 104, 103,      93, 103, 93, 104, 84, 104, 107, 104, 103, 104, 104, 104,      104, 104), storey_order = c(1L, 2L, 2L, 2L, 2L, 4L, 3L, 1L,      4L, 5L, 2L, 2L, 3L, 4L, 2L, 2L, 2L, 3L, 2L, 3L), remaining_lease_mths = c(783,      757, 763, 756, 760, 819, 1137, 773, 1135, 770, 762, 822,      782, 813, 764, 761, 812, 747, 819, 810), PROX_CBD = c(11.4963900230166,      11.4573592114175, 11.6387779682198, 11.7174653186763, 11.6914583773846,      11.381621166991, 11.2116042179965, 11.9179556382635, 11.1809634086998,      11.927322045494, 11.4815172953657, 11.1191912667925, 11.7840832214562,      11.1672746170477, 12.3243460542753, 12.2901811097239, 11.7215458353159,      12.4246534304877, 11.547248638023, 11.622690560426), PROX_ELDERLYCARE = c(0.672630859926948,      0.52883250894194, 0.792216801753581, 0.74375074589335, 0.736997311630605,      0.382123855460196, 0.369355324070756, 0.757050983431463,      0.333450295290741, 0.77464979732367, 0.182032582488253, 0.213121327483379,      0.481333190444255, 0.14075304944647, 0.362207242709056, 0.180150537957213,      0.240093333498969, 0.223353489993969, 0.246353759583753,      0.175524774720266), PROX_HAWKER = c(0.804785607263954, 0.848364442784946,      0.61454926069889, 0.5637831570093, 0.558671781535233, 0.863892291353285,      1.02311573056961, 0.581821713307667, 1.04207495818587, 0.445987433628815,      0.728271246274353, 1.08329799955244, 0.436117874461739, 1.04840790050398,      0.290415492755609, 0.155357947035291, 0.609281739536534,      0.283538945902673, 0.837769476188058, 0.783966268147895),          PROX_MRT = c(0.132306565433056, 0.275269590424193, 0.0844107562606101,          0.162940637784707, 0.140110279979828, 0.424871345706255,          0.524888394814585, 0.401552834915971, 0.580267989687754,          0.493642118682657, 0.756359380624344, 0.776456939054752,          0.81394482428473, 0.893429463565323, 0.559245805822074,          0.729338839878115, 0.989064774064853, 0.694199692700576,          1.16228231940478, 1.15515804744233), PROX_PARK = c(1.41209410927924,          1.3775538710324, 1.51709061898346, 1.5229705853841, 1.50772581466401,          1.31830174708739, 1.15338615463339, 1.26489639581012,          1.13378306757762, 1.17760662255222, 1.50398184725757,          1.13833451608328, 1.20101103678102, 1.25063890429238,          1.218970746516, 1.26762597166046, 1.28416187507733, 1.19561442246869,          1.4881280763212, 1.41684131410086), PROX_GOOD_PRISCH = c(0.364349890680966,          0.277148461253506, 0.453346371612442, 0.440184840714675,          0.476923220580037, 0.288839241027683, 0.456074275886943,          0.374797987706521, 0.485317217067727, 0.289303568244907,          0.365254403810308, 0.586469336292635, 0.357669915539773,          0.623353133039123, 0.889618707353532, 0.992456269301591,          0.585140695782779, 1.09898709469432, 0.735233663606362,          0.733057242670121), PROX_MALL = c(0.844787863205902,          0.815329638117364, 0.815834004295584, 0.750703947848918,          0.797799046209296, 0.849953313581112, 1.01522535242687,          0.498039402667872, 1.03968747299659, 0.376851773239706,          0.763531318053358, 1.10160019948421, 0.489619370966043,          1.08293003315278, 0.471904090765479, 0.649064194608972,          0.690287469384684, 0.626909601034773, 0.918014501744059,          0.868993594299523), PROX_CHAS = c(0.0697008731150885,          0.179820414455961, 0.0804697697946077, 4.64133788220832e-08,          0.0474151678735614, 0.115324197479935, 0.206252010873132,          0.258806234431974, 0.216965800691496, 0.339292519878925,          0.0516610437101642, 0.143881852296294, 0.0667093090499658,          0.151540147087551, 0.193597629002809, 0.128297543182753,          0.164718468919614, 0.221655673315632, 0.157099147473317,          0.151742844958785), PROX_SUPERMARKET = c(0.441950593919319,          0.301981775400679, 0.596048194106483, 0.609798994765399,          0.635527990773791, 0.186698572696543, 0.222574928361305,          0.542179538393358, 0.212835414763751, 0.405378875546255,          0.19171128272723, 0.246182427713253, 0.379080894647373,          0.299482732316256, 0.331501685351864, 0.159863951308791,          0.169255457402684, 0.209750471448386, 0.157098334004615,          0.151741730066283), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 2L, 2L, 2L,          4L, 2L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 4L,          3L, 3L, 3L, 4L, 4L, 2L, 3L, 2L, 5L, 5L, 3L, 6L, 4L, 5L,          6L, 5L, 7L, 7L), WITHIN_350M_BUS = c(8L, 7L, 6L, 5L,          6L, 10L, 6L, 7L, 7L, 9L, 14L, 9L, 7L, 14L, 4L, 3L, 10L,          4L, 11L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          3L, 2L, 3L, 2L, 4L, 3L, 2L, 4L, 2L, 6L, 5L, 3L, 5L, 2L,          2L), DNeighbour = c(0, 147.548439013473, 186.116056758634,          238.93729849778, 243.498122128847, 296.619547464971,          405.331643241192, 427.986699578263, 460.377477396167,          477.248112936361, 637.255620854059, 646.01940824339,          719.89468011114, 762.941604327759, 867.495756448751,          901.828812193663, 934.741996906884, 1027.52583394627,          1047.93300058282, 1061.43668081454)), row.names = c("151",      "843", "522", "941", "274", "744", "347", "63", "178", "666",      "213", "845", "340", "528", "861", "518", "625", "186", "598",      "750"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.96172681100049,      0.939454568281055, 0.901221066610414, 0.89751687881142, 0.849912766787548,      0.729614443001592, 0.701268969241478, 0.659145628743515,      0.63654493148406, 0.409030427532752, 0.396361825846732, 0.291609250659858,      0.233629546400714, 0.110254567001204, 0.0773553393859885,      0.0503894063946724, 0.00395332208028783, 0.000639194931244313,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1715169367 
R squared (OOB):                  0.2568355 

$Forests[[152]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 340000, 350000,      385000, 420000, 390000, 368888, 350000, 350000, 4e+05, 4e+05,      377000, 380000, 4e+05, 368000, 370000, 390000, 412000, 390000,      395000), floor_area_sqm = c(92, 92, 104, 92, 92, 93, 92,      92, 92, 92, 92, 92, 93, 96, 92, 92, 92, 92, 92, 93), storey_order = c(1L,      2L, 3L, 3L, 4L, 3L, 2L, 1L, 1L, 3L, 4L, 2L, 3L, 2L, 2L, 1L,      4L, 3L, 2L, 4L), remaining_lease_mths = c(1139, 1133, 812,      1132, 1133, 1113, 1102, 1111, 1131, 1136, 1142, 1135, 1110,      1098, 1100, 1090, 1142, 1128, 1128, 1108), PROX_CBD = c(14.8395197777251,      14.8395197777251, 14.8739209120931, 14.9536689261967, 14.7615340778399,      14.6879879340018, 14.8482953663728, 14.8482953663728, 14.6346875310408,      14.7935232496013, 14.8350589102573, 14.5662038835035, 14.607628567626,      15.0414874321427, 14.9752079088984, 15.0414874321427, 14.5596883563906,      14.5596883563906, 14.5136499050456, 14.6649260398624), PROX_ELDERLYCARE = c(0.143171284390361,      0.143171284390361, 0.224374856243457, 1.13414610370389e-06,      0.301679225956583, 0.267910637295867, 0.157028625587627,      0.157028625587627, 0.318998242024868, 0.348662381557687,      0.366071958673004, 0.396119369193007, 0.363539264939185,      0.180026828914976, 0.199763345782594, 0.180026828914976,      0.399519357429504, 0.399519357429504, 0.440212280139716,      0.374463671675583), PROX_HAWKER = c(0.426817039061835, 0.426817039061835,      0.490895901627697, 0.283688306330561, 0.582527401679673,      0.507741768149319, 0.332945546865787, 0.332945546865787,      0.567748890704442, 0.61938764744993, 0.625406547060166, 0.661743266121302,      0.571839614015762, 0.135868389364205, 0.202333554334061,      0.135868389364205, 0.625641729464286, 0.625641729464286,      0.681591249319273, 0.515424723672587), PROX_MRT = c(1.58589972239689,      1.58589972239689, 1.67344316225132, 1.45204946878565, 1.75082728996661,      1.51619569366002, 1.41585626072206, 1.41585626072206, 1.53691575721219,      1.80023823132094, 1.81204065654847, 1.61118001364451, 1.42703012637354,      1.27219969611937, 1.27457972333389, 1.27219969611937, 1.46473462254762,      1.46473462254762, 1.51230084146916, 1.31347134818138), PROX_PARK = c(0.573834160005083,      0.573834160005083, 0.671840643384197, 0.447466290733612,      0.739209778966795, 0.573128508978659, 0.40224168015695, 0.40224168015695,      0.633519966923, 0.794674698621811, 0.813480610745631, 0.741043428920938,      0.592644125813336, 0.270313948020077, 0.259935562114549,      0.270313948020077, 0.656743209310805, 0.656743209310805,      0.723946747094916, 0.48594234877488), PROX_GOOD_PRISCH = c(5.56483468018996,      5.56483468018996, 5.63420261242257, 5.64958645026222, 5.53447364393692,      5.38500296681299, 5.51627049340211, 5.51627049340211, 5.34297669438126,      5.58881641790013, 5.6396253746677, 5.30307595814772, 5.28617698570013,      5.69200203864946, 5.6171537261999, 5.69200203864946, 5.25302892838613,      5.25302892838613, 5.22451833965112, 5.30673314037113), PROX_MALL = c(0.805396060532061,      0.805396060532061, 0.927972955155417, 0.806257336881612,      0.897398400321744, 0.626246838364162, 0.649229394533883,      0.649229394533883, 0.633302242537752, 0.980189305249844,      1.03026167893405, 0.69438942428714, 0.523782484457491, 0.767711199656331,      0.689421511186311, 0.767711199656331, 0.550646738699849,      0.550646738699849, 0.591658790399046, 0.439421746266814),          PROX_CHAS = c(0.204546662914522, 0.204546662914522, 0.25243947150411,          0.14456617920399, 0.166975848000366, 0.160113448728027,          0.274130336331615, 0.274130336331615, 0.120955806912261,          0.244316778428722, 0.298721071991625, 0.0799578054615725,          0.198893245072118, 0.163757574589084, 0.230775629929228,          0.163757574589084, 0.19650938121062, 0.19650938121062,          0.179710137259641, 0.0969357032130768), PROX_SUPERMARKET = c(0.280088374069707,          0.280088374069707, 0.298947211163532, 0.16127040484797,          0.408349928269047, 0.300165340388346, 0.296829834724774,          0.296829834724774, 0.327836032489634, 0.416104879739584,          0.402632437071234, 0.41943325951703, 0.223766299699327,          0.197268674737732, 0.264202614673064, 0.197268674737732,          0.27843134046436, 0.27843134046436, 0.343491998264143,          0.0969351949685631), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(5L, 5L,          3L, 7L, 3L, 6L, 5L, 5L, 6L, 2L, 2L, 3L, 4L, 4L, 4L, 4L,          3L, 3L, 4L, 6L), WITHIN_350M_BUS = c(5L, 5L, 6L, 6L,          4L, 7L, 9L, 9L, 8L, 6L, 6L, 6L, 7L, 9L, 9L, 9L, 7L, 7L,          6L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 4L,          4L, 4L, 4L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 4L, 4L, 4L, 4L         ), DNeighbour = c(0, 2.58236981249657, 126.552626202953,          143.082078353473, 166.212577617161, 196.95536129047,          197.405324344247, 200.663249713951, 231.647305997578,          232.444515889979, 255.887856633923, 277.036977407885,          308.374996709889, 315.374232676399, 316.048094137138,          319.611596773008, 321.930799900355, 324.517908626868,          341.718845473467, 371.418124114754)), row.names = c("152",      "543", "602", "139", "620", "469", "195", "762", "583", "478",      "27", "368", "452", "632", "558", "793", "163", "961", "706",      "17"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999903321436997,      0.781286809138253, 0.725216510480426, 0.639578629737149,      0.516678919244094, 0.514831370564433, 0.501429022398215,      0.37334428978919, 0.370074039522168, 0.275992985932037, 0.196823954362013,      0.0965109655196137, 0.0778493702994873, 0.076137720881991,      0.0673457274185461, 0.0618641809062437, 0.0559803943573336,      0.0235713977038829, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       584526193 
R squared (OOB):                  -0.2245369 

$Forests[[153]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 370000, 356888,      390000, 330000, 374000, 365000, 370000, 369988, 350000, 375000,      405000, 385000, 398888, 365000, 385000, 370000, 353000, 378888,      395000), floor_area_sqm = c(85, 90, 91, 100, 85, 94, 91,      90, 91, 91, 90, 93, 93, 93, 90, 93, 93, 93, 90, 90), storey_order = c(6L,      2L, 5L, 6L, 4L, 3L, 5L, 3L, 4L, 1L, 4L, 6L, 4L, 6L, 3L, 5L,      3L, 1L, 6L, 1L), remaining_lease_mths = c(968, 1016, 963,      942, 992, 987, 993, 997, 1002, 992, 986, 1138, 1138, 1127,      979, 1140, 1127, 1136, 949, 997), PROX_CBD = c(13.131637538161,      13.0393088300804, 13.1584578321731, 12.9172885276263, 13.0825190214061,      13.4804039164095, 13.2138793761114, 13.5299248791723, 13.2138793761114,      12.6773565587662, 13.5741440973944, 12.9439612539798, 12.9439612539798,      12.9439612539798, 13.6373310118807, 12.9599687546274, 12.9599687546274,      12.9273038019752, 12.4403773011877, 13.4480864429089), PROX_ELDERLYCARE = c(0.425459762987539,      0.38924985743242, 0.528614390300154, 0.440978457512705, 0.120371550198491,      0.746393599063579, 0.200446926946864, 0.737190256849548,      0.200446926946864, 0.36284597954094, 0.759293685927778, 0.119102012768026,      0.119102012768026, 0.119102012768026, 0.753498484846986,      0.230213196902471, 0.230213196902471, 0.250608726248769,      0.624054710630084, 0.38095926022983), PROX_HAWKER = c(1.67102672130552,      1.75849952292251, 1.59466084315792, 1.76689210194785, 1.90213677974947,      1.28815813567136, 1.87231067409155, 1.28441999759135, 1.87231067409155,      1.72249172765999, 1.13978469441664, 2.07494386608678, 2.07494386608678,      2.07494386608678, 1.08343538740726, 2.16699861471209, 2.16699861471209,      2.14952956067865, 1.46996215979098, 1.11021170000921), PROX_MRT = c(0.197259382412543,      0.103022581922205, 0.258879114766752, 0.0642144868642362,      0.30821900832469, 0.26513727845816, 0.348476568009787, 0.189597864599581,      0.348476568009787, 0.142163643631393, 0.147719870982538,      0.464899886897548, 0.464899886897548, 0.464899886897548,      0.0904459633140829, 0.576831878931421, 0.576831878931421,      0.585364307317434, 0.140157494228817, 0.436627689790507),          PROX_PARK = c(0.350705699368152, 0.291844359651056, 0.332476768251147,          0.18581491955197, 0.557623544885242, 0.640650351334918,          0.701388397724732, 0.695004999747215, 0.701388397724732,          0.484105342641425, 0.739375101722708, 0.700809394437081,          0.700809394437081, 0.700809394437081, 0.802899104641211,          0.828547076231476, 0.828547076231476, 0.834972281659159,          0.525489875872169, 0.782217598170287), PROX_GOOD_PRISCH = c(4.16094245740848,          4.09066115622083, 4.13557899544262, 3.96344124390297,          4.27923006279343, 4.38951064564596, 4.43819501492863,          4.45977917937361, 4.43819501492863, 3.92066991749349,          4.41976113712118, 4.27162250172191, 4.27162250172191,          4.27162250172191, 4.47444600576345, 4.35761410397793,          4.35761410397793, 4.33782029579385, 3.6640626331803,          4.1394886986689), PROX_MALL = c(0.249640338015364, 0.199839805040887,          0.231810009894563, 0.125441786165087, 0.482494809972804,          0.548104683226502, 0.411800643307333, 0.598877544697789,          0.411800643307333, 0.485078273736912, 0.656440732478167,          0.646092130793046, 0.646092130793046, 0.646092130793046,          0.719665126414215, 0.630320880177991, 0.630320880177991,          0.664096204002356, 0.37643645467035, 0.747053206605742         ), PROX_CHAS = c(0.23569948169583, 0.19843851708658,          0.20604200841638, 0.146232137849481, 0.1115602293269,          0.196586841411628, 0.186991486151685, 0.124645472322039,          0.186991486151685, 0.334175310205776, 0.175269995719201,          0.136400058110832, 0.136400058110832, 0.136400058110832,          0.111923036871509, 0.256311352337612, 0.256311352337612,          0.273668945808659, 0.376436475429729, 0.419877338676521         ), PROX_SUPERMARKET = c(0.249639808314143, 0.199839014107547,          0.231809873410795, 0.125440795942109, 0.482493892596986,          0.253358431108118, 0.40197012970004, 0.181636181040517,          0.40197012970004, 0.485077395132212, 0.3594639622224,          0.636728053790567, 0.636728053790567, 0.636728053790567,          0.371011221099329, 0.621743565428055, 0.621743565428055,          0.655577492568061, 0.426522673463594, 0.428569074432488         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 1L, 2L, 0L, 3L,          0L, 4L, 0L, 1L, 2L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 8L, 6L, 9L, 7L, 5L,          5L, 5L, 5L, 8L, 6L, 4L, 4L, 4L, 6L, 3L, 3L, 3L, 4L, 5L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 9L, 4L, 9L, 2L, 8L,          2L, 13L, 10L, 3L, 3L, 3L, 11L, 3L, 3L, 3L, 11L, 4L),          WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 7L, 5L, 5L, 6L, 6L,          6L, 4L, 9L, 4L, 4L, 4L, 8L, 4L, 4L, 4L, 4L, 7L), DNeighbour = c(0,          89.5302754868435, 99.3800821706629, 216.111861607105,          318.935347049045, 388.233731480462, 409.10370207083,          410.733235223589, 412.54120572567, 530.383815470628,          532.9368416291, 537.930509812525, 537.939790816273, 544.592688577432,          590.386101694331, 658.535336737347, 658.841480452237,          679.58575071189, 708.33259374354, 769.721167456746)), row.names = c("153",      "141", "339", "887", "886", "72", "474", "165", "313", "400",      "15", "882", "732", "936", "660", "95", "990", "462", "444",      "655"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.973124586092125,      0.966938172479942, 0.848554562675637, 0.686101747319389,      0.555917118992186, 0.514823511730475, 0.51159278628814, 0.508005236545574,      0.275831645014161, 0.271039763240836, 0.261723238896313,      0.261705995135411, 0.249416584223521, 0.169489592934021,      0.071841863984485, 0.0714774160775491, 0.0486158578074047,      0.0234542650507586, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       288013428 
R squared (OOB):                  0.1881343 

$Forests[[154]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 420000, 380000,      345000, 340000, 335000, 370000, 336000, 323000, 380000, 310000,      325000, 295000, 390000, 345000, 370000, 350000, 325000, 345000,      343000), floor_area_sqm = c(92, 93, 93, 102, 101, 101, 93,      104, 104, 93, 104, 104, 105, 126, 103, 103, 104, 90, 104,      102), storey_order = c(6L, 3L, 1L, 2L, 5L, 2L, 1L, 4L, 3L,      1L, 1L, 1L, 1L, 2L, 5L, 4L, 2L, 4L, 4L, 5L), remaining_lease_mths = c(1104,      1139, 1138, 935, 943, 933, 1139, 958, 956, 1142, 879, 872,      870, 879, 944, 881, 863, 912, 862, 935), PROX_CBD = c(16.0058570800758,      15.9652529785268, 15.9652529785268, 16.0814208174046, 15.9284058495794,      16.135389698045, 15.8422849591204, 16.2237683329895, 16.3822081442679,      15.6174435761395, 15.9652370890998, 15.9652370890998, 16.027241877126,      16.1769042321823, 15.6615925135045, 15.9139497277605, 15.9139497277605,      16.3759795802925, 16.2035530975804, 15.6558233565228), PROX_ELDERLYCARE = c(0.0922651494707867,      0.120425003900544, 0.120425003900544, 0.129424766752979,      0.260351961534281, 0.214357316635524, 0.241353796602158,      0.233700982090528, 0.317064501792404, 0.457575537702088,      0.372962984236141, 0.372962984236141, 0.401697186037664,      0.382017171357745, 0.372854461013726, 0.471057675436291,      0.471057675436291, 0.437652472603004, 0.462412199513001,      0.268146833149962), PROX_HAWKER = c(2.393526972262, 2.36922200206298,      2.36922200206298, 2.40830007300065, 2.2342618496891, 2.40272097648418,      2.37354129025836, 2.48966457045008, 2.76474077583521, 2.21004723991438,      2.45115541279444, 2.45115541279444, 2.44772974464855, 2.55739022352562,      2.39243139523594, 2.34701070601947, 2.34701070601947, 2.71828200917597,      2.51024920878341, 2.27183532495414), PROX_MRT = c(0.910164710677637,      0.886101680623091, 0.886101680623091, 1.00126993569874, 1.02417718077332,      1.09323648573999, 0.721786411333246, 1.11461848888664, 1.02897813643603,      0.70935210619912, 0.52727924180445, 0.52727924180445, 0.538616250543522,      0.674610535324426, 0.499275570100955, 0.424613907535265,      0.424613907535265, 0.870089952652958, 0.65447898159524, 0.370313443989706     ), PROX_PARK = c(1.6216647961598, 1.58077599563476, 1.58077599563476,      1.7154732425778, 1.61207436869795, 1.7942088991982, 1.42084473696832,      1.86547668850022, 1.73717122008599, 1.21748666352844, 1.39203600576681,      1.39203600576681, 1.35146177086674, 1.39748820590438, 1.19384102986047,      1.30337713627377, 1.30337713627377, 1.49155883505512, 1.32632916723033,      1.16446299803307), PROX_GOOD_PRISCH = c(6.00411547246196,      5.96493131981452, 5.96493131981452, 6.0710937852797, 5.90870946924896,      6.11593822040069, 5.8611108446886, 6.20687623278084, 6.39421933734494,      5.63578467655705, 6.02718330754398, 6.02718330754398, 6.09534233388474,      6.23706483495109, 5.71328270316738, 5.99275530970335, 5.99275530970335,      6.4246273009838, 6.27623366830878, 5.73062396037349), PROX_MALL = c(0.187934498474296,      0.18546430077947, 0.18546430077947, 0.261655001598387, 0.350369242497661,      0.350342319635, 0.177442774283774, 0.36788016328609, 0.374078152135628,      0.401390812484646, 0.238316612740974, 0.238316612740974,      0.275346491924215, 0.292722816398213, 0.238209845871265,      0.338688619983659, 0.338688619983659, 0.409369768138594,      0.370949542105629, 0.155488337640192), PROX_CHAS = c(0.187934543511456,      0.185464348558652, 0.185464348558652, 0.26165503944411, 0.35036929019185,      0.350342354631045, 0.177442804982894, 0.367880188789974,      0.374078140160073, 0.187858028295528, 0.238316573509266,      0.238316573509266, 0.275346446899555, 0.292722768811081,      0.238209795937414, 0.338688583692834, 0.338688583692834,      0.409369730284335, 0.370949494121523, 0.155488306171375),          PROX_SUPERMARKET = c(0.197516435852273, 0.198556813498254,          0.198556813498254, 0.265481412722203, 0.363015443397577,          0.352223797136593, 0.197153631350279, 0.364697803989784,          0.357574924056941, 0.412009517866082, 0.177610526119132,          0.177610526119132, 0.141316208924405, 0.254565333705719,          0.238833101010687, 0.112474666082431, 0.112474666082431,          0.389543937857684, 0.235998227482853, 0.152010752053411         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 0L,          2L, 0L, 2L, 3L, 3L, 3L, 3L, 5L, 3L, 3L, 3L, 2L, 3L, 4L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 5L, 3L, 2L,          7L, 2L, 1L, 3L, 6L, 6L, 8L, 8L, 5L, 9L, 9L, 2L, 5L, 8L         ), WITHIN_350M_BUS = c(14L, 15L, 15L, 13L, 10L, 9L, 15L,          9L, 9L, 15L, 14L, 14L, 12L, 9L, 16L, 15L, 15L, 5L, 7L,          14L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 3L,          2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L),          DNeighbour = c(0, 42.2592666948404, 46.181861961675,          94.3776625555826, 175.021738673325, 185.772818867014,          211.297437454738, 241.179546946215, 396.728923608135,          405.726080528433, 423.012521991401, 424.312087318308,          458.932925219947, 463.043929382517, 475.428524978067,          516.690954591721, 520.479481072422, 524.135442290752,          537.920913986588, 582.731209790037)), row.names = c("154",      "137", "913", "890", "705", "88", "585", "394", "173", "766",      "490", "566", "463", "54", "572", "927", "959", "974", "806",      "450"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.989509556248825,      0.987478096890788, 0.94822759106024, 0.827720585127716, 0.807066193281601,      0.754331088181892, 0.686752168865901, 0.287830609767949,      0.26546936231199, 0.223775750246828, 0.220718318344363, 0.144215374598998,      0.135862471301004, 0.111802245489307, 0.0457165393375043,      0.0409021975317574, 0.0364795931619003, 0.0218687592930355,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       681214221 
R squared (OOB):                  0.387703 

$Forests[[155]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 415000, 390000,      4e+05, 395000, 375000, 342000, 428000, 412000, 390000, 455000,      537000, 518000, 483000, 535000, 495000, 5e+05, 553000, 520000,      425000), floor_area_sqm = c(105, 106, 105, 104, 104, 104,      105, 112, 104, 104, 112, 93, 93, 93, 93, 93, 93, 93, 93,      104), storey_order = c(3L, 3L, 3L, 3L, 2L, 1L, 1L, 1L, 3L,      2L, 1L, 4L, 2L, 2L, 3L, 2L, 3L, 4L, 3L, 3L), remaining_lease_mths = c(921,      919, 911, 903, 905, 919, 904, 892, 891, 906, 896, 1128, 1132,      1129, 1131, 1131, 1131, 1134, 1133, 871), PROX_CBD = c(13.4627621473458,      13.4239402990732, 13.3796709379934, 13.3287778793447, 13.6654936015449,      13.4266027498608, 13.3769343120963, 13.9733994982273, 14.1568072460962,      14.1961571609712, 14.0913802169285, 14.1022978560303, 14.0392008059995,      13.9851487819813, 13.9851487819813, 14.1234549986629, 13.8777465201196,      13.8021184722805, 13.7835124985007, 14.0236082538335), PROX_ELDERLYCARE = c(2.3602438602499,      2.35754914737924, 2.22474645739358, 2.1917657327852, 2.4559089786438,      2.17127601573547, 2.13793612643937, 2.73602573538322, 2.56669577269824,      2.56528175499621, 1.71411655426264, 1.39999761805574, 1.32747908409073,      1.27246652758392, 1.27246652758392, 1.35242241046818, 1.14875617578224,      1.08391670289184, 1.04590518035641, 1.09340394122649), PROX_HAWKER = c(1.98731518790586,      2.04148614266885, 1.93918128958002, 1.97547555130032, 1.8007485076056,      1.79623369603986, 1.83400406292357, 1.72752929984142, 1.398882753411,      1.37564916931309, 0.659732742059419, 0.488105393549706, 0.543253862226502,      0.59565400543288, 0.59565400543288, 0.458626901673037, 0.709523473368326,      0.792084042786722, 0.817574416707151, 0.594999289424802),          PROX_MRT = c(1.75308710953532, 1.80644454579453, 1.69795623670388,          1.73242783606755, 1.57537750219681, 1.55284801629317,          1.58891799000297, 1.52912572857094, 1.21408476422274,          1.19597144129318, 0.410797330392975, 0.255700458734308,          0.327704984287647, 0.390641440388092, 0.390641440388092,          0.250036690549804, 0.526263367583387, 0.615458599020507,          0.648112836468654, 0.469886084443941), PROX_PARK = c(0.956537089868377,          1.00169815399328, 0.863182736105437, 0.88512129863374,          0.850306194456086, 0.713305409065456, 0.736187117229036,          0.916601452818718, 0.574460502508352, 0.541272645896965,          0.524242894978874, 0.52092144022497, 0.547177414231792,          0.580591669210194, 0.580591669210194, 0.469588575534173,          0.548712671125698, 0.476945111703218, 0.438074957540257,          0.504422356794811), PROX_GOOD_PRISCH = c(3.09165556928148,          3.09662994187342, 2.95323290488506, 2.92650083991791,          3.15584859653876, 2.87807351257242, 2.85157742620146,          3.4114102230046, 3.36750863472211, 3.39040053008466,          2.83541955823977, 2.69832814229385, 2.61966269686357,          2.55482099432271, 2.55482099432271, 2.69456588548322,          2.41902859908312, 2.33081910479479, 2.3007469286795,          2.51794344218072), PROX_MALL = c(0.924666219790251, 0.980263777031476,          0.921202261186462, 0.968339604524727, 0.710058429219954,          0.808973697710999, 0.857746498744393, 0.596418817267466,          0.280844166366742, 0.270320025824244, 0.471401908473598,          0.257523814996123, 0.316340524018432, 0.37312896686832,          0.37312896686832, 0.232476208076891, 0.498678106329343,          0.585717052475653, 0.615576551193732, 0.418819234777705         ), PROX_CHAS = c(0.335494764547789, 0.386919516068906,          0.396028378293497, 0.447143544638255, 0.111974276762728,          0.374720545025774, 0.418304503654494, 0.126775582068521,          0.192284580165596, 0.176758267598596, 0.471401941314913,          0.177701329016163, 0.101753514952091, 0.0604900109870272,          0.0604900109870272, 0.147334233235439, 0.133705064347241,          0.221659659627321, 0.253975316505048, 0.151261605672147         ), PROX_SUPERMARKET = c(0.370560193975877, 0.409344743904916,          0.347107460725314, 0.37251565902947, 0.207177695926551,          0.196965153344936, 0.224617478786604, 0.159712105919183,          0.192285941870899, 0.176759883249677, 0.471402360745676,          0.177702101069216, 0.101754383553332, 0.0604908810371704,          0.0604908810371704, 0.147334782275979, 0.133704798830233,          0.221659301316653, 0.253974877653299, 0.151260689076964         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 0L, 1L, 1L,          1L, 5L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 1L, 1L, 1L, 3L, 1L,          1L, 2L, 3L, 4L, 1L, 4L, 4L, 3L, 3L, 4L, 2L, 2L, 2L, 4L         ), WITHIN_350M_BUS = c(7L, 7L, 8L, 6L, 12L, 7L, 5L, 10L,          9L, 9L, 12L, 11L, 10L, 8L, 8L, 13L, 8L, 5L, 6L, 12L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,          3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L), DNeighbour = c(0,          52.7475256705724, 131.617939428184, 166.435103346675,          233.95921030186, 255.850670936136, 258.568485700453,          516.361337892445, 775.789331144439, 821.186366518579,          1347.13892636343, 1658.46054914551, 1679.40308141877,          1690.25217518859, 1693.96613399035, 1713.88889818748,          1745.56313984842, 1769.77705707062, 1803.84783508235,          1896.43186311693)), row.names = c("155", "38", "222",      "949", "302", "818", "965", "119", "933", "555", "352", "815",      "218", "938", "819", "212", "579", "275", "380", "51"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998453351338193, 0.990389666168847, 0.984654903423622,      0.969792258977082, 0.963928997952337, 0.96316581435106, 0.857222946060405,      0.693314106742225, 0.660150846569276, 0.24541766298808, 0.0553290439439067,      0.0465629641309366, 0.0422794200856905, 0.0408544393825606,      0.0335793900994848, 0.0233414669687757, 0.0166697387532964,      0.00907386419106741, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3736652277 
R squared (OOB):                  0.08826794 

$Forests[[156]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 315000, 297000,      335000, 314000, 375000, 392000, 325000, 330000, 388000, 363000,      335000, 3e+05, 343000, 417000, 340888, 355000, 335000, 333000,      491000), floor_area_sqm = c(91, 90, 90, 90, 91, 108, 113,      90, 91, 104, 104, 105, 106, 107, 92, 107, 104, 114, 108,      92), storey_order = c(8L, 5L, 2L, 3L, 3L, 2L, 2L, 5L, 1L,      6L, 5L, 2L, 2L, 2L, 2L, 4L, 4L, 3L, 4L, 9L), remaining_lease_mths = c(995,      1001, 995, 979, 985, 909, 933, 992, 987, 904, 918, 938, 941,      907, 1120, 883, 882, 904, 895, 1137), PROX_CBD = c(16.7093180086981,      16.8082045368238, 16.901501451739, 17.0600275230943, 17.0716695500607,      16.9875722318911, 16.6579104452557, 17.2610384590751, 17.2817356498826,      16.3777502460772, 16.295166477654, 17.3741762112269, 17.3741762112269,      17.2160129653012, 16.7161737209409, 16.7669966667855, 16.7669966667855,      16.3642048862006, 16.5397910410307, 15.0782917837809), PROX_ELDERLYCARE = c(0.935779967581661,      1.15380285023885, 1.16689850532437, 1.09431476347566, 1.21621641692937,      0.636322412867891, 0.409372351007212, 1.12094638660826, 1.19353475005496,      0.465083314136851, 0.514795208711411, 0.815153211361198,      0.815153211361198, 0.574386357445605, 9.26628957858198e-07,      0.121542639162494, 0.121542639162494, 0.361422596457277,      0.706939892416911, 0.811417024562957), PROX_HAWKER = c(1.82495077083007,      1.94950915107796, 2.0413146444202, 2.18272534115171, 2.2102134433082,      2.10596394293278, 1.80129318596364, 2.37726799660773, 2.40388099430384,      1.54627052523026, 1.47281657351752, 2.50067722531469, 2.50067722531469,      2.37357884684332, 1.96687058888139, 2.05474291859885, 2.05474291859885,      1.67761333691466, 2.14655926815246, 0.241120378832392), PROX_MRT = c(0.522077155701705,      0.730447684580082, 0.740013435080822, 0.673816738147829,      0.793158171270894, 0.252669932820992, 0.128609360773056,      0.729621307242001, 0.797812759521718, 0.419412974707088,      0.504795745143921, 0.590831178240684, 0.590831178240684,      0.453815632281196, 0.427108887982576, 0.53300655679357, 0.53300655679357,      0.653367521351592, 0.460645764817668, 0.604690005035212),          PROX_PARK = c(1.17885821480356, 1.39545287332227, 1.46267930314228,          1.5130077643247, 1.59669720594139, 1.18807543108152,          0.826869373992433, 1.64853798443183, 1.70244245234235,          0.571339732684777, 0.48638578612152, 1.47164498360674,          1.47164498360674, 1.24959985284921, 0.688779163701323,          0.722711239268322, 0.722711239268322, 0.32735774848914,          0.711243459523284, 0.889047622652367), PROX_GOOD_PRISCH = c(7.40748446052123,          7.5739079893598, 7.66085245964853, 7.76907239486735,          7.82238149093771, 7.55033959010056, 7.18541951227303,          7.93716312588154, 7.98012169831377, 6.89348817522951,          6.80828229467371, 7.888904100652, 7.888904100652, 7.68034428555912,          7.12110535783693, 7.13952904562396, 7.13952904562396,          6.76031366250815, 6.77397603493671, 5.77803713337603),          PROX_MALL = c(0.484270435079706, 0.677813655888015, 0.678684538412688,          0.597930181439745, 0.719585865775528, 0.165557901737932,          0.168053149288668, 0.644198936007264, 0.713200150273906,          0.427317836890542, 0.510483215269896, 0.521008948961951,          0.521008948961951, 0.413606644895247, 0.337595745740984,          0.27529824968273, 0.27529824968273, 0.388175183991252,          0.345326846187852, 0.79347213158724), PROX_CHAS = c(0.52365796939069,          0.71936188995133, 0.720584477651296, 0.638199243310692,          0.760340467100735, 0.194474796894964, 0.170995488718356,          0.678651577140463, 0.748586514709626, 0.429996386722335,          0.513107963149175, 0.524369302913132, 0.524369302913132,          0.303266380929536, 0.279591917356114, 0.222759343861358,          0.222759343861358, 0.380772978950647, 0.286223989121013,          0.128222338920945), PROX_SUPERMARKET = c(0.555366708418936,          0.768274584157999, 0.780695486504835, 0.718466194952364,          0.837223205851576, 0.284398337107734, 0.103652200866821,          0.771245719522698, 0.842475689687135, 0.386156989530241,          0.471223408024363, 0.559408220033625, 0.559408220033625,          0.387759857324111, 0.344537051235884, 0.243987988302975,          0.243987988302975, 0.422789252098693, 0.377165028023417,          0.286089695736963), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L,          2L, 2L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 2L, 2L, 4L, 5L, 3L, 3L, 3L, 3L, 4L, 4L, 5L, 6L, 5L,          5L, 4L, 1L, 3L), WITHIN_350M_BUS = c(8L, 9L, 7L, 7L,          5L, 11L, 9L, 5L, 5L, 8L, 7L, 2L, 2L, 5L, 12L, 11L, 11L,          6L, 2L, 10L), WITHIN_1KM_PRISCH = c(3L, 2L, 2L, 2L, 2L,          4L, 4L, 2L, 2L, 4L, 3L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L,          4L), DNeighbour = c(0, 228.49450487558, 287.528069591672,          362.854659989697, 421.856296291936, 457.823364427331,          535.387532413212, 553.84153592928, 582.521295104953,          696.78319696835, 753.083123339816, 816.535657001442,          818.241073761037, 836.49093479709, 934.96040090352, 1050.47169141625,          1054.28488913279, 1065.21748387539, 1623.38199200613,          1663.82368370883)), row.names = c("156", "121", "416",      "208", "431", "125", "918", "525", "127", "820", "451", "822",      "813", "326", "261", "673", "898", "252", "498", "568"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.962636106263749, 0.941164136504911, 0.907140084492226,      0.875561226388794, 0.854302962811358, 0.80363465729971, 0.79066907111931,      0.769871110624336, 0.679997699232505, 0.632237073951993,      0.576317938718691, 0.574789854574798, 0.558368029049668,      0.468169734276465, 0.361663404415333, 0.358184754091177,      0.34823577682379, 0.00230612676669952, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1677683743 
R squared (OOB):                  0.1878164 

$Forests[[157]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 540000, 475000,      7e+05, 578888, 670000, 525000, 463888, 558000, 348000, 490000,      421000, 380000, 372500, 410000, 315000, 420000, 392000, 425000,      433000), floor_area_sqm = c(92, 92, 93, 92, 95, 92, 95, 95,      92, 100, 92, 93, 92, 102, 93, 91, 93, 103, 108, 92), storey_order = c(2L,      6L, 4L, 4L, 2L, 5L, 5L, 1L, 6L, 3L, 3L, 4L, 1L, 2L, 4L, 1L,      2L, 2L, 3L, 4L), remaining_lease_mths = c(1130, 1142, 1130,      1126, 1134, 1121, 1141, 1140, 1136, 938, 1038, 789, 1037,      931, 788, 790, 1099, 833, 820, 1084), PROX_CBD = c(11.3687765497058,      11.3687765497058, 11.4536743231806, 11.1573644039326, 11.5493041544933,      11.0595651330709, 11.6190928108465, 11.4133195883395, 11.665784828589,      11.8646943012694, 11.6213283462416, 10.8005053894847, 11.6419253241709,      11.9627383543319, 10.7402382849343, 10.6917699702976, 11.8999896789117,      10.8307618753175, 10.7884209511687, 11.8702915361943), PROX_ELDERLYCARE = c(1.27208236570677,      1.27208236570677, 1.19895989384568, 1.34447435494956, 1.47184415110161,      1.41694161867716, 1.40356458884146, 1.61512702812623, 1.35367167055226,      0.893707553155367, 0.621923465733728, 1.11154389564577, 0.626216066088841,      0.96089261866182, 1.05196585123006, 1.07660186858624, 0.790393757138983,      1.12487398858542, 1.11323464510705, 0.670900780040593), PROX_HAWKER = c(1.07923254025891,      1.07923254025891, 1.02903329925728, 1.10011050744246, 1.35052465166479,      1.19495083476736, 1.37423229702662, 1.4377955077332, 1.3549106116919,      0.888626336009462, 0.537052085835962, 0.918995125488027,      0.553081930127745, 0.983415578941634, 1.02652926791064, 1.35937058559257,      0.820501997631561, 0.775872885593274, 0.812377793689625,      0.715369360111721), PROX_MRT = c(0.671331594421278, 0.671331594421278,      0.573574303209013, 0.876646963171676, 0.653877184653349,      0.991329354536752, 0.615423035680267, 0.8250506195824, 0.561684506891731,      0.214047355776769, 0.182944945438028, 0.566932323762424,      0.168432978085695, 0.122900516984256, 0.546812793492647,      0.753106278920522, 0.261250382411254, 0.568072215940967,      0.526269526678983, 0.146531371307633), PROX_PARK = c(0.294690087030438,      0.294690087030438, 0.341254943367627, 0.189026691537682,      0.597750851398377, 0.275833477585303, 0.654992910383756,      0.60176146852012, 0.671016599957339, 0.747986195716587, 0.643411448820926,      0.370936327890873, 0.654970873229416, 0.836149627657164,      0.401614025373747, 0.536819237128991, 0.813614799778521,      0.443949121553361, 0.467051942358664, 0.8322137924942), PROX_GOOD_PRISCH = c(2.95589454100459,      2.95589454100459, 2.96812409551872, 2.83177349547833, 3.26501815247482,      2.8385375863655, 3.31796907605439, 3.26097143466547, 3.32537175969635,      3.05097986431403, 2.69528593883292, 2.34700895725274, 2.71543842399088,      3.15511978010431, 2.39141973384207, 2.68318776685765, 3.00567179865442,      2.22887532154294, 2.2131785217075, 2.91053685401804), PROX_MALL = c(0.814743407183115,      0.814743407183115, 0.714729745574342, 0.831480717149744,      0.808458836713889, 0.76911725394793, 0.768943294332632, 0.979751787656279,      0.714662485508778, 0.265637621954407, 0.597386337892971,      0.363372953846058, 0.576398809288588, 0.161680393170103,      0.344610557976029, 0.459259689573629, 0.283076960540796,      0.384053234723219, 0.340751907865098, 0.385092319171944),          PROX_CHAS = c(0.257507761616553, 0.257507761616553, 0.31407050179696,          0.0819321575559949, 0.0498455969042401, 0.0661119226245057,          0.119929951445322, 0.136218265087875, 0.167944095298073,          0.265637621677666, 0.130352204164602, 0.111289200730163,          0.118628580179885, 0.161680400961643, 0.106045676778667,          0.0626028682349028, 0.283076936045466, 0.2644107607892,          0.260152478655286, 0.179381733260264), PROX_SUPERMARKET = c(0.30094246041235,          0.30094246041235, 0.345653574215055, 0.408274605358357,          0.0982179911218008, 0.444069124865739, 0.16327623873727,          0.0830307595499944, 0.215917356790886, 0.211091622880127,          0.0679201472407272, 0.386863986973968, 0.0879874709963817,          0.107037284539066, 0.357992185767737, 0.550262392018624,          0.236972988988714, 0.407226974513028, 0.363982132031921,          0.31749021679057), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          0L, 1L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 2L, 1L,          0L, 2L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L,          3L, 3L, 3L, 2L, 3L, 1L, 7L, 6L, 3L, 6L, 8L, 3L, 3L, 7L,          4L, 3L, 9L), WITHIN_350M_BUS = c(10L, 10L, 8L, 6L, 4L,          9L, 3L, 4L, 4L, 8L, 8L, 9L, 8L, 9L, 6L, 7L, 9L, 11L,          8L, 10L), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 3L, 2L, 3L,          2L, 1L, 2L, 5L, 6L, 5L, 5L, 4L, 5L, 3L, 5L, 6L, 6L, 5L         ), DNeighbour = c(0, 6.70705397834385, 94.0916963388531,          219.533730782578, 309.765562520011, 323.688123302082,          362.268012577232, 362.576170493304, 373.168644552417,          602.899637035038, 658.749860503134, 662.935267822125,          666.664733006336, 667.062575645804, 676.596108654503,          697.390143127313, 707.359451900282, 742.88177646896,          767.262328617553, 768.113956542411)), row.names = c("157",      "876", "132", "425", "772", "407", "160", "303", "830", "232",      "89", "56", "421", "295", "6", "569", "185", "743", "696",      "110"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999847515489652,      0.970214109698119, 0.843299368212968, 0.701179552276303,      0.676369164794373, 0.604602916353259, 0.604014308504793,      0.583656994059792, 0.147392799761312, 0.0699539045860095,      0.0650821699108242, 0.0608645849655298, 0.0604216427467641,      0.0502192670095392, 0.0308604880310454, 0.023084321658002,      0.00417573953692431, 4.91164329262513e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10535511723 
R squared (OOB):                  -0.01007603 

$Forests[[158]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(440000, 448000, 435000,      358000, 380000, 360000, 441000, 365000, 425000, 438000, 432000,      320000, 431000, 456500, 395000, 425000, 385000, 420000, 450000,      432000), floor_area_sqm = c(96, 96, 95, 93, 94, 94, 93, 94,      94, 94, 92, 92, 92, 92, 94, 94, 93, 94, 94, 93), storey_order = c(7L,      9L, 6L, 1L, 1L, 1L, 6L, 1L, 5L, 5L, 6L, 2L, 7L, 8L, 4L, 6L,      1L, 7L, 7L, 5L), remaining_lease_mths = c(1108, 1110, 1105,      1103, 1107, 1096, 1097, 1095, 1083, 1076, 1137, 1009, 1138,      1144, 1113, 1119, 1134, 1120, 1119, 1138), PROX_CBD = c(11.6053344020152,      11.5810624146691, 11.6071858552171, 11.8075546541859, 11.6781560559471,      11.6781560559471, 11.8078122246038, 11.7965908296893, 11.8751655684431,      11.9414743986494, 11.9317097346946, 11.3397363359505, 11.9317097346946,      11.9527102757424, 11.9744040829633, 11.9828723130509, 11.6526890235784,      12.0119641769274, 12.0119641769274, 11.7767430748854), PROX_ELDERLYCARE = c(1.04503450829128,      1.05973522725621, 1.02315858897206, 0.922118515238085, 1.09658820367145,      1.09658820367145, 0.95260617550949, 1.00802268588986, 0.727329111385366,      0.687500817542951, 0.680106913101551, 1.39271535621019, 0.680106913101551,      0.819362766143575, 0.738781707341689, 0.710325725805382,      0.935812608446987, 0.673044116243487, 0.673044116243487,      0.813774711283767), PROX_HAWKER = c(0.210992660312359, 0.226379932511381,      0.193888136950838, 0.209140712961875, 0.34952328079698, 0.34952328079698,      0.262687630178652, 0.337854809554552, 0.145379780608352,      0.147098227142532, 0.161367564791002, 0.570701345451429,      0.161367564791002, 0.27814297307049, 0.217370340361849, 0.20448046373977,      0.34883542271072, 0.222580914455278, 0.222580914455278, 0.340776861445006     ), PROX_MRT = c(0.206803096961617, 0.233016580221366, 0.216093917824789,      0.120215557602138, 0.274140861026222, 0.274140861026222,      0.173777829752023, 0.249549573241666, 0.191731142133254,      0.183575431830776, 0.214149342621172, 0.534489810386183,      0.214149342621172, 0.200702114351669, 0.167322140356011,      0.170867756883987, 0.28284034831035, 0.201095784108649, 0.201095784108649,      0.162476645519961), PROX_PARK = c(0.554363925008431, 0.520771390450273,      0.521580333579447, 0.747098338531098, 0.620391651843957,      0.620391651843957, 0.746013140888617, 0.739061594864021,      0.723512884628395, 0.807374064658721, 0.785212145526225,      0.290298216204727, 0.785212145526225, 0.643017670933737,      0.679906922269617, 0.697136724289492, 0.489736206412745,      0.691047645736797, 0.691047645736797, 0.615413214289157),          PROX_GOOD_PRISCH = c(1.90056431650247, 1.87254500118751,          1.89230283405924, 2.12338877581429, 2.02616945457316,          2.02616945457316, 2.13533890725473, 2.14271827973834,          2.14229157607785, 2.21615815400514, 2.20126444296921,          1.70706505143727, 2.20126444296921, 2.270018309959, 2.27223739349538,          2.27447890050516, 1.91178525383739, 2.29976812492723,          2.29976812492723, 2.03585243074848), PROX_MALL = c(0.158081786709397,          0.185878129611589, 0.173810560938293, 0.119447773727589,          0.244599870232268, 0.244599870232268, 0.17025857997445,          0.241737870027575, 0.249449426365425, 0.22663965361209,          0.255684281538694, 0.459056401007768, 0.255684281538694,          0.232344363503357, 0.214069216816763, 0.220402811054307,          0.427385274755512, 0.251262654177611, 0.251262654177611,          0.437539575450179), PROX_CHAS = c(0.158081821824728,          0.185878170229198, 0.173810611614792, 0.11944771257822,          0.163903281406512, 0.163903281406512, 0.170258520163124,          0.101692541492014, 0.179410689617013, 0.156140837156126,          0.203726500797623, 0.111613351644546, 0.203726500797623,          0.146038815472653, 0.0939357367291076, 0.0995919009989899,          0.225869963934761, 0.131248018016709, 0.131248018016709,          0.108183414657245), PROX_SUPERMARKET = c(0.148884454693003,          0.177355035948325, 0.1671684124578, 0.119571834445138,          0.19333058996533, 0.19333058996533, 0.168966076328732,          0.17897337633635, 0.179159947933279, 0.236998053946951,          0.217804588957955, 0.440050810323431, 0.217804588957955,          0.237998550380205, 0.22318738818849, 0.230351837454113,          0.225911825558638, 0.261515416493987, 0.261515416493987,          0.108294583955479), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L,          0L, 1L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 2L, 2L, 4L, 3L, 7L, 6L, 6L, 1L, 6L, 5L, 7L, 6L,          3L, 6L, 6L, 3L), WITHIN_350M_BUS = c(8L, 7L, 6L, 10L,          9L, 9L, 11L, 9L, 6L, 8L, 8L, 9L, 8L, 12L, 10L, 7L, 4L,          6L, 6L, 4L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 4L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 4L, 3L, 3L,          4L), DNeighbour = c(0, 32.1450188150554, 60.0032910745731,          246.092010907216, 258.118585760656, 261.915953031384,          279.677306156293, 324.481076330926, 334.822125410904,          355.81927725454, 367.275433851874, 370.76153088221, 375.426180614711,          377.223173393613, 380.465210253059, 384.270843552167,          389.083441595031, 404.793711304819, 409.965040243792,          447.83559290543)), row.names = c("158", "182", "922",      "724", "644", "954", "439", "41", "250", "781", "392", "254",      "613", "749", "858", "203", "309", "167", "947", "325"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.989722205575608, 0.964418267122203, 0.487251689004285,      0.445955091860738, 0.432901214328695, 0.37208615839888, 0.225645407589363,      0.194504528059129, 0.135954758463097, 0.10720122233646, 0.0989651975319873,      0.0883469409536993, 0.0843834975783783, 0.0774176107174549,      0.0695530230896847, 0.0601090700244543, 0.0334833249523775,      0.0262362391971807, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       694112955 
R squared (OOB):                  0.5195162 

$Forests[[159]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(485000, 445000, 460000,      350000, 450000, 491000, 347000, 370000, 455000, 585000, 290000,      3e+05, 330000, 335000, 334008, 285000, 370000, 410000, 415000,      295000), floor_area_sqm = c(93, 93, 93, 93, 93, 92, 90, 90,      99, 91, 92, 99, 103, 102, 103, 92, 102, 101, 92, 106), storey_order = c(10L,      7L, 7L, 3L, 4L, 9L, 2L, 3L, 2L, 10L, 4L, 1L, 2L, 4L, 2L,      1L, 3L, 3L, 2L, 1L), remaining_lease_mths = c(1112, 1117,      1135, 1018, 1131, 1137, 971, 977, 951, 995, 690, 697, 937,      940, 917, 697, 927, 936, 1132, 825), PROX_CBD = c(14.8542518275748,      14.9897790388493, 15.0332592042754, 14.9930585550483, 15.1194109037639,      15.0782917837809, 14.6079806280174, 14.489397367385, 14.3012013074868,      14.2059144167977, 14.8961777358487, 14.8036441916204, 14.5165027597446,      14.4474740114555, 14.2719972222741, 14.6519123293037, 14.12564920201,      13.8911800577968, 14.6122009832922, 14.7220636963442), PROX_ELDERLYCARE = c(0.671766786446111,      0.622451014094897, 0.653175957864657, 0.766085625885291,      0.632846087105322, 0.811417024562957, 0.966138977916587,      0.929205058584809, 0.93663965535868, 0.923774065318005, 0.090689252710872,      0.0965145667339982, 0.389463724969334, 1.50338082315219,      1.50921581969441, 0.254409923718011, 1.44816412197145, 1.40411939431899,      1.68824062303628, 0.327768156942021), PROX_HAWKER = c(0.3485650804915,      0.366862032582334, 0.344843972730765, 0.230353911902381,      0.399490681633122, 0.241120378832392, 0.31691894051251, 0.478869651742105,      0.693090021451824, 0.829910539202106, 1.02395142210687, 1.07372228066705,      1.0617726338971, 0.588144724666333, 0.684102697062058, 1.21550185558774,      0.778468578249857, 0.687446499339865, 0.707122679385598,      1.39864823048803), PROX_MRT = c(0.41695674877223, 0.550628186781769,      0.587916938270161, 0.545901722651448, 0.674936552563307,      0.604690005035212, 0.188565130994124, 0.0437298005890327,      0.189883903502813, 0.127617925270923, 0.437229774651496,      0.363746184676816, 0.0901878473788138, 0.224566301285939,      0.347262283963267, 0.218405848235923, 0.476637705223286,      0.241174931861397, 0.295449456212788, 0.0523025726452692),          PROX_PARK = c(1.00246315577637, 0.886983007034967, 0.858154923175006,          0.937160160632966, 0.773048101136696, 0.889047622652367,          1.07918529837209, 0.935596264101672, 0.812876767906526,          0.716522496183652, 0.600185611341118, 0.497172938499345,          0.278686390612803, 1.55939681176166, 1.38760566459916,          0.325486875199719, 1.20701221478007, 0.90249149706597,          1.76906915549279, 0.432331111477529), PROX_GOOD_PRISCH = c(5.49301939379528,          5.61521578968116, 5.67093979106873, 5.6774973866509,          5.74516136190441, 5.77803713337603, 5.35450137646782,          5.1963266927986, 4.98177209241419, 4.85056771881294,          5.28070608730985, 5.17691715074399, 4.93093863547281,          5.45861643017911, 5.26118802945754, 4.99149337529414,          5.06260566207177, 4.74545729482833, 5.7298925008129,          4.99661753747661), PROX_MALL = c(0.497662931100388, 0.615054651957031,          0.671424081833306, 0.691703794200818, 0.744876648240093,          0.79347213158724, 0.479398555662368, 0.345992784345898,          0.236735170365795, 0.148456555084967, 0.252669380741675,          0.278400001713995, 0.38830118917563, 0.12145856762689,          0.108121271181015, 0.377416550632833, 0.287395381957405,          0.267645090747045, 0.426875162675013, 0.343882807046916         ), PROX_CHAS = c(0.139715392485403, 0.101756162724623,          0.0438337826764906, 0.094086780959658, 0.0812821875339188,          0.128222338920945, 0.166948923507452, 3.77135010377852e-08,          0.214782230853987, 0.148456588323488, 0.252669404800451,          0.190291087196022, 0.0918929757518676, 0.121458549123021,          0.108121286081234, 0.0736014920224838, 0.182188888557241,          0.241761013919413, 0.270793953405505, 0.141205029857343         ), PROX_SUPERMARKET = c(0.118312809115248, 0.215874380558773,          0.238848984717478, 0.189746195069109, 0.325050502595441,          0.286089695736963, 0.218811722485387, 0.31785895032531,          0.172194506074768, 0.154204342539502, 0.186322037460738,          0.190291125096353, 0.354026220875794, 0.134916350552101,          0.105248463653719, 0.128878263549785, 0.277268812686258,          0.315435463566428, 0.270794118098451, 0.141204847242777         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 1L, 0L, 1L,          2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 3L,          2L, 5L, 6L, 7L, 3L, 3L, 5L, 5L, 4L, 3L, 3L, 3L, 5L, 3L         ), WITHIN_350M_BUS = c(11L, 11L, 10L, 11L, 12L, 10L,          13L, 13L, 15L, 17L, 7L, 9L, 7L, 11L, 10L, 9L, 10L, 15L,          6L, 8L), WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 4L, 3L, 4L,          5L, 5L, 3L, 3L, 3L, 3L, 2L, 5L, 5L, 3L, 5L, 5L, 4L, 2L         ), DNeighbour = c(0, 137.870405180027, 183.621190762202,          197.656723035251, 267.190814810336, 299.599657480652,          317.390903615888, 374.772680874324, 556.038599861048,          664.833835758182, 675.627036723782, 726.22294632634,          727.270258048359, 837.279118413635, 863.754495037216,          866.893299926261, 881.190147641378, 997.715729375202,          1022.12280097274, 1047.60775327664)), row.names = c("159",      "500", "865", "836", "299", "568", "385", "374", "717", "146",      "87", "995", "592", "826", "381", "986", "703", "599", "489",      "786"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.965660232568637,      0.939500018719535, 0.930071189911682, 0.874131967449794,      0.843114788676807, 0.824846873009601, 0.760420762938509,      0.515931009202057, 0.356715016160681, 0.341141806873823,      0.269823767823538, 0.268384699430062, 0.130488599337807,      0.102525962171832, 0.099380729448939, 0.0855415611824785,      0.00864552631068886, 0.00230993870747748, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4276368444 
R squared (OOB):                  0.3560957 

$Forests[[160]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(525000, 558000, 578888,      463888, 415000, 540000, 475000, 7e+05, 670000, 348000, 372500,      420000, 330000, 450000, 490000, 380000, 433000, 378888, 452000,      315000), floor_area_sqm = c(95, 92, 95, 95, 92, 92, 93, 92,      92, 100, 102, 93, 91, 95, 92, 92, 92, 90, 95, 91), storey_order = c(5L,      6L, 2L, 1L, 2L, 6L, 4L, 4L, 5L, 3L, 2L, 2L, 3L, 2L, 3L, 1L,      4L, 6L, 4L, 1L), remaining_lease_mths = c(1141, 1136, 1134,      1140, 1130, 1142, 1130, 1126, 1121, 938, 931, 1099, 951,      1109, 1038, 1037, 1084, 949, 1112, 790), PROX_CBD = c(11.6190928108465,      11.665784828589, 11.5493041544933, 11.4133195883395, 11.3687765497058,      11.3687765497058, 11.4536743231806, 11.1573644039326, 11.0595651330709,      11.8646943012694, 11.9627383543319, 11.8999896789117, 12.402570085049,      12.0901026943072, 11.6213283462416, 11.6419253241709, 11.8702915361943,      12.4403773011877, 12.1424265739316, 10.6917699702976), PROX_ELDERLYCARE = c(1.40356458884146,      1.35367167055226, 1.47184415110161, 1.61512702812623, 1.27208236570677,      1.27208236570677, 1.19895989384568, 1.34447435494956, 1.41694161867716,      0.893707553155367, 0.96089261866182, 0.790393757138983, 0.628872951670854,      0.911165280518988, 0.621923465733728, 0.626216066088841,      0.670900780040593, 0.624054710630084, 0.88680281476439, 1.07660186858624     ), PROX_HAWKER = c(1.37423229702662, 1.3549106116919, 1.35052465166479,      1.4377955077332, 1.07923254025891, 1.07923254025891, 1.02903329925728,      1.10011050744246, 1.19495083476736, 0.888626336009462, 0.983415578941634,      0.820501997631561, 1.50745216628998, 0.995330006841388, 0.537052085835962,      0.553081930127745, 0.715369360111721, 1.46996215979098, 0.999275592501037,      1.35937058559257), PROX_MRT = c(0.615423035680267, 0.561684506891731,      0.653877184653349, 0.8250506195824, 0.671331594421278, 0.671331594421278,      0.573574303209013, 0.876646963171676, 0.991329354536752,      0.214047355776769, 0.122900516984256, 0.261250382411254,      0.198968515523371, 0.231980634651484, 0.182944945438028,      0.168432978085695, 0.146531371307633, 0.140157494228817,      0.303530488733859, 0.753106278920522), PROX_PARK = c(0.654992910383756,      0.671016599957339, 0.597750851398377, 0.60176146852012, 0.294690087030438,      0.294690087030438, 0.341254943367627, 0.189026691537682,      0.275833477585303, 0.747986195716587, 0.836149627657164,      0.813614799778521, 0.61879465488716, 0.750469455971567, 0.643411448820926,      0.654970873229416, 0.8322137924942, 0.525489875872169, 0.699596772952975,      0.536819237128991), PROX_GOOD_PRISCH = c(3.31796907605439,      3.32537175969635, 3.26501815247482, 3.26097143466547, 2.95589454100459,      2.95589454100459, 2.96812409551872, 2.83177349547833, 2.8385375863655,      3.05097986431403, 3.15511978010431, 3.00567179865442, 3.69141799128789,      3.19167768034691, 2.69528593883292, 2.71543842399088, 2.91053685401804,      3.6640626331803, 3.20088339163048, 2.68318776685765), PROX_MALL = c(0.768943294332632,      0.714662485508778, 0.808458836713889, 0.979751787656279,      0.814743407183115, 0.814743407183115, 0.714729745574342,      0.831480717149744, 0.76911725394793, 0.265637621954407, 0.161680393170103,      0.283076960540796, 0.407881748949563, 0.1200910408013, 0.597386337892971,      0.576398809288588, 0.385092319171944, 0.37643645467035, 0.171446483339376,      0.459259689573629), PROX_CHAS = c(0.119929951445322, 0.167944095298073,      0.0498455969042401, 0.136218265087875, 0.257507761616553,      0.257507761616553, 0.31407050179696, 0.0819321575559949,      0.0661119226245057, 0.265637621677666, 0.161680400961643,      0.283076936045466, 0.407881782403473, 0.120090990225825,      0.130352204164602, 0.118628580179885, 0.179381733260264,      0.376436475429729, 0.171446425970546, 0.0626028682349028),          PROX_SUPERMARKET = c(0.16327623873727, 0.215917356790886,          0.0982179911218008, 0.0830307595499944, 0.30094246041235,          0.30094246041235, 0.345653574215055, 0.408274605358357,          0.444069124865739, 0.211091622880127, 0.107037284539066,          0.236972988988714, 0.451295114828249, 0.109512866312649,          0.0679201472407272, 0.0879874709963817, 0.31749021679057,          0.426522673463594, 0.178201527122821, 0.550262392018624         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 1L, 1L,          0L, 1L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 1L, 3L, 3L, 3L, 3L,          2L, 3L, 3L, 7L, 8L, 7L, 3L, 8L, 6L, 6L, 9L, 4L, 7L, 3L         ), WITHIN_350M_BUS = c(3L, 4L, 4L, 4L, 10L, 10L, 8L,          6L, 9L, 8L, 9L, 9L, 9L, 8L, 8L, 8L, 10L, 11L, 9L, 7L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L, 3L, 3L, 4L, 3L,          3L, 5L, 4L, 5L, 4L, 4L, 6L, 5L, 5L, 4L, 5L, 3L), DNeighbour = c(0,          50.5296316366794, 74.8130093110657, 234.532066918748,          362.268012577232, 363.346898711284, 364.605668371896,          532.6259594218, 584.553808986861, 670.281572222259, 676.773126568713,          795.013865000282, 832.258856982428, 835.413003407765,          882.308394840433, 882.494051710131, 893.362353993078,          904.021538290717, 907.402908903174, 943.863787468778)), row.names = c("160",      "830", "772", "303", "157", "876", "132", "425", "407", "232",      "295", "185", "80", "117", "89", "421", "110", "444", "147",      "569"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994276247777522,      0.987474380590449, 0.880326708586817, 0.72707497255091, 0.72557715500259,      0.723825937009775, 0.464525637312846, 0.380001506149266,      0.245710497291321, 0.236075850244852, 0.0844107931639601,      0.049507998439465, 0.0469153675743292, 0.0159212939592789,      0.0158286164699567, 0.0108466430250297, 0.00682968119142357,      0.00574056896436219, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9880355373 
R squared (OOB):                  0.116052 

$Forests[[161]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(367000, 412000, 418000,      4e+05, 4e+05, 428000, 420000, 420000, 4e+05, 416000, 433000,      362000, 370000, 390000, 423888, 395000, 365000, 415000, 292000,      258000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 84, 84), storey_order = c(1L,      5L, 5L, 2L, 3L, 4L, 3L, 5L, 2L, 4L, 4L, 1L, 1L, 2L, 5L, 2L,      1L, 5L, 1L, 1L), remaining_lease_mths = c(1137, 1144, 1138,      1137, 1143, 1140, 1144, 1143, 1130, 1140, 1130, 1135, 1146,      1139, 1136, 1146, 1137, 1144, 761, 781), PROX_CBD = c(16.0903666266177,      16.0903666266177, 16.0903666266177, 16.0475930141239, 16.0475930141239,      16.1831859860721, 15.9392575628934, 16.1537572283104, 16.1976566517324,      16.055983361932, 16.055983361932, 15.9297907572658, 15.87024444961,      16.0085061296439, 15.9500375777464, 16.0046521285213, 16.0046521285213,      15.9533618390172, 16.3662877971208, 16.1631400386504), PROX_ELDERLYCARE = c(0.179967723198436,      0.179967723198436, 0.179967723198436, 0.129564145964732,      0.129564145964732, 0.0701319802482612, 0.0436662178849567,      0.0462823216560119, 9.89208662673193e-07, 0.146417557277997,      0.146417557277997, 0.0463608633689567, 0.10693627682917,      0.133825008100465, 0.0923316964070077, 0.20718686492254,      0.20718686492254, 0.251148223850536, 0.177020457931737, 0.194171564025932     ), PROX_HAWKER = c(0.9143232220583, 0.9143232220583, 0.9143232220583,      0.872301448799324, 0.872301448799324, 1.00994702859189, 0.765854363537175,      0.986028325459381, 1.03146250928298, 0.897672222950446, 0.897672222950446,      0.768716574287481, 0.694651515851724, 0.86073340068049, 0.798502368740115,      0.855932206484513, 0.855932206484513, 0.802087399746937,      1.20613696965479, 1.03995728027003), PROX_MRT = c(1.13213387762555,      1.13213387762555, 1.13213387762555, 1.14436247830993, 1.14436247830993,      1.08237519657155, 1.14464062157712, 1.02112351286352, 1.02706758196582,      0.936151237003446, 0.936151237003446, 1.23034399571509, 1.09555222562317,      1.31406230168452, 1.27956490520873, 0.883219311345816, 0.883219311345816,      0.8851452059773, 1.07002489239586, 0.842728374229233), PROX_PARK = c(0.83568858459355,      0.83568858459355, 0.83568858459355, 0.824988291997923, 0.824988291997923,      0.848434833813522, 0.777956069134633, 0.793519520304926,      0.822565203699192, 0.683762717294504, 0.683762717294504,      0.846978318526899, 0.707790886000148, 0.947603217866828,      0.8970097589344, 0.619767633008914, 0.619767633008914, 0.589052524814441,      0.840406553837571, 0.707513815343702), PROX_GOOD_PRISCH = c(6.70919168347838,      6.70919168347838, 6.70919168347838, 6.67335529701902, 6.67335529701902,      6.78038310261662, 6.57394481891556, 6.74044920052795, 6.78043949525415,      6.63421015362065, 6.63421015362065, 6.58539462985877, 6.49806658702102,      6.67823761190993, 6.61604918176311, 6.57618460349959, 6.57618460349959,      6.52939634907869, 6.93507101526025, 6.70927938580052), PROX_MALL = c(0.311149009276151,      0.311149009276151, 0.311149009276151, 0.339403259296736,      0.339403259296736, 0.241735562355662, 0.391567182053879,      0.180580587241737, 0.189710317758296, 0.118546137622893,      0.118546137622893, 0.478634609766659, 0.388975340293238,      0.528820301792356, 0.517477751202279, 0.110811660449771,      0.110811660449771, 0.161178852361569, 0.298590834338171,      0.0870960802892481), PROX_CHAS = c(0.215238065300109, 0.215238065300109,      0.215238065300109, 0.16574506375663, 0.16574506375663, 0.148113838308576,      0.0895372628546906, 0.0922372285822684, 0.0868060808909073,      0.110329053122027, 0.110329053122027, 4.95402698497433e-08,      0.140210421841136, 0.104680199868824, 0.0505118784777886,      0.114687044901222, 0.114687044901222, 0.165813590617473,      0.209004221202181, 0.081875317774622), PROX_SUPERMARKET = c(0.316789996913415,      0.316789996913415, 0.316789996913415, 0.344658205065017,      0.344658205065017, 0.247969406526707, 0.354688671920554,      0.186806037215644, 0.195853508350489, 0.123371553336512,      0.123371553336512, 0.427887094284235, 0.287679129281494,      0.525839072677995, 0.47836894165083, 0.112847248683738, 0.112847248683738,      0.162291812321236, 0.303085580417471, 0.0873208554119548),          WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L, 2L, 2L, 7L,          3L, 8L, 8L, 3L, 3L, 5L, 4L, 2L, 4L, 3L, 3L, 3L, 8L, 6L         ), WITHIN_350M_BUS = c(8L, 8L, 8L, 9L, 9L, 7L, 9L, 7L,          7L, 7L, 7L, 7L, 8L, 7L, 7L, 7L, 7L, 8L, 5L, 11L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 3L, 4L, 3L, 3L,          5L, 5L, 5L, 4L, 5L), DNeighbour = c(0, 1.61598924911411,          4.83486523889289, 47.2097927137083, 48.2974925881719,          127.392950487739, 158.356002572588, 162.862479043997,          194.66405672981, 200.676586435172, 204.224372613338,          212.630885481946, 223.483123181471, 228.959886655459,          234.075959141754, 256.002945874238, 258.540780376266,          259.326004411894, 354.770045403434, 357.577841533324)), row.names = c("161",      "919", "249", "440", "28", "661", "517", "869", "427", "538",      "741", "654", "582", "653", "912", "408", "594", "124", "687",      "872"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99995915289347,      0.99963439018606, 0.965441785556403, 0.963845840879921, 0.762258718924826,      0.646218713531103, 0.628145007548928, 0.495098920088713,      0.469282970103585, 0.454016574535442, 0.417833757645389,      0.371350790299088, 0.348106963393683, 0.326587890487259,      0.237593130946842, 0.227741284483698, 0.224715961204545,      0.000244699470140506, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1652762988 
R squared (OOB):                  0.1841384 

$Forests[[162]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 313000, 318000,      327000, 320000, 302500, 275000, 358000, 402000, 310000, 370000,      355000, 340000, 355000, 315000, 315000, 387008, 320800, 310000,      418000), floor_area_sqm = c(104, 84, 84, 84, 93, 93, 84,      91, 93, 96, 93, 104, 91, 93, 91, 97, 97, 92, 91, 104), storey_order = c(4L,      4L, 1L, 1L, 3L, 2L, 1L, 1L, 4L, 1L, 1L, 4L, 2L, 4L, 3L, 3L,      2L, 1L, 3L, 1L), remaining_lease_mths = c(777, 772, 785,      802, 762, 764, 807, 760, 762, 772, 782, 814, 782, 761, 774,      746, 775, 965, 774, 794), PROX_CBD = c(15.5029529482698,      15.5029529482698, 15.4237712873611, 15.395293903354, 15.7384939989151,      15.7384939989151, 15.555826242216, 15.6053010835868, 15.8715793299193,      16.0124832316584, 15.9422949327985, 14.9797222810306, 16.0688727275577,      16.1297617902268, 16.1626205207603, 16.179026897848, 15.8742411347238,      16.3149444157129, 16.3680873997092, 14.6249352309891), PROX_ELDERLYCARE = c(1.60634233373903,      1.60634233373903, 1.66429806880172, 1.48326161455178, 1.81389464514152,      1.81389464514152, 1.98144426857027, 1.18278326755006, 1.28212929908789,      1.41328722649904, 1.09392979000114, 1.40865121451131, 1.20623153653763,      1.29938230642316, 1.55788424655444, 1.73064849730919, 0.784609866943175,      1.76400828031834, 1.42545230549203, 1.66362706878828), PROX_HAWKER = c(0.592613874358246,      0.592613874358246, 0.663653920640621, 0.763118949388798,      0.367446283592148, 0.367446283592148, 0.587918588004233,      0.745618024005524, 0.428166805124, 0.231474226543029, 0.571238530927929,      1.17708155532767, 0.426544691499688, 0.335840869363962, 0.113648031708615,      0.141690035201285, 0.921851461637316, 0.267171899978326,      0.369132496020862, 1.46189875323845), PROX_MRT = c(0.579811001445256,      0.579811001445256, 0.641519249244255, 0.486709870425329,      0.817431272071058, 0.817431272071058, 0.961984472446029,      0.180817781363956, 0.326170963259121, 0.526610558032509,      0.22642613478059, 0.541117453484526, 0.406145228037129, 0.514969181151661,      0.733071345608223, 0.887672461516919, 0.243577544220952,      0.980548762507945, 0.767751604782153, 0.177135615746217),          PROX_PARK = c(0.518465718930498, 0.518465718930498, 0.527546900647844,          0.736647900507106, 0.197322246351151, 0.197322246351151,          0.155244626205508, 0.580682002012541, 0.729541055973412,          0.641040622161513, 0.749126986336644, 0.869949400509587,          0.697314652170583, 0.709135847201637, 0.622244080025509,          0.539742315344257, 0.457440234531046, 0.504828773517413,          0.655349613079545, 0.967683324465338), PROX_GOOD_PRISCH = c(5.8805780078001,          5.8805780078001, 5.79932453842233, 5.79164197089728,          6.09593783675615, 6.09593783675615, 5.90755023148013,          6.02648848177283, 6.26806838260706, 6.39414010271149,          6.35759010380229, 5.38873705701154, 6.46919552361138,          6.52049985370614, 6.53246509089368, 6.53838177865997,          6.33578781760894, 6.672975925328, 6.74866006620563, 5.00900650468442         ), PROX_MALL = c(0.667352945771092, 0.667352945771092,          0.726704111983395, 0.561468969675593, 0.906877360376741,          0.906877360376741, 1.05229171505891, 0.252610517585887,          0.405953132327172, 0.598952481573277, 0.275355858531219,          0.857174016474006, 0.45653839484425, 0.568960814514176,          0.800586392071248, 0.960112961135972, 0.159478773824134,          0.965701391482886, 0.812249060303789, 1.02277508016934         ), PROX_CHAS = c(0.128101303359069, 0.128101303359069,          0.11942955396425, 0.1019571402223, 0.184740133551779,          0.184740133551779, 0.0651877268759985, 0.0925674017483885,          0.170717118999449, 0.191204296760245, 0.101928728560798,          0.0593781975043205, 0.123235071398074, 0.215228497760129,          0.107377285719627, 0.0821179618758864, 0.159478805927642,          0.215258950862385, 0.317481852326526, 0.253202817693943         ), PROX_SUPERMARKET = c(0.314517101025506, 0.314517101025506,          0.307102160965552, 0.0953919744611677, 0.287892528450529,          0.287892528450529, 0.511049564140858, 0.188530812320699,          0.323117190327721, 0.214004200599592, 0.218983947734938,          0.101389584423307, 0.399183655269817, 0.353026966783941,          0.191669323632479, 0.224545288466622, 0.159478664733051,          0.357579925001748, 0.442251956603444, 0.177136085505812         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 3L, 3L,          1L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 3L, 3L, 0L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L, 2L, 7L, 7L,          6L, 5L, 2L, 4L, 2L, 3L, 3L, 3L, 5L, 3L, 5L, 1L, 2L, 1L         ), WITHIN_350M_BUS = c(10L, 10L, 11L, 9L, 10L, 10L, 7L,          10L, 8L, 8L, 8L, 10L, 9L, 8L, 9L, 8L, 8L, 8L, 8L, 9L),          WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 4L, 3L, 3L, 1L, 4L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 6L, 3L, 4L, 2L), DNeighbour = c(0,          1.42686858784411, 82.0244792790425, 217.840478399143,          371.81286476611, 376.883601324944, 419.067338147495,          429.049140350076, 429.338082347888, 513.898124019595,          587.956591514099, 591.687525523448, 623.301901866756,          644.230226271062, 667.758001377361, 720.532528998574,          823.338545143382, 850.871429546253, 870.81339596625,          877.574260129098)), row.names = c("162", "587", "293",      "556", "803", "437", "426", "143", "294", "740", "708", "984",      "804", "184", "335", "336", "83", "980", "198", "30"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999994712752716, 0.982604055069777, 0.880560295128182,      0.673208978314326, 0.665143921581226, 0.59593128753458, 0.579080444178019,      0.578590401732135, 0.43176087496447, 0.303741778046738, 0.297475270542282,      0.245557111035045, 0.212606048855501, 0.177250110251496,      0.106195529488816, 0.0143482632024609, 0.00359162156247996,      0.000235583233036222, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       846851935 
R squared (OOB):                  0.3563183 

$Forests[[163]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 412000, 390000,      380000, 350000, 390000, 380000, 377000, 350000, 395000, 350000,      368888, 340000, 375000, 420000, 385000, 350000, 4e+05, 368000,      4e+05), floor_area_sqm = c(92, 92, 92, 93, 92, 93, 92, 92,      93, 93, 92, 92, 92, 92, 92, 92, 104, 92, 92, 92), storey_order = c(4L,      3L, 2L, 3L, 1L, 3L, 2L, 2L, 1L, 4L, 1L, 2L, 2L, 1L, 4L, 3L,      3L, 3L, 2L, 4L), remaining_lease_mths = c(1142, 1128, 1128,      1110, 1131, 1113, 1142, 1135, 1111, 1108, 1111, 1102, 1133,      1139, 1133, 1132, 812, 1136, 1100, 1142), PROX_CBD = c(14.5596883563906,      14.5596883563906, 14.5136499050456, 14.607628567626, 14.6346875310408,      14.6879879340018, 14.4940333615496, 14.5662038835035, 14.6221320584002,      14.6649260398624, 14.8482953663728, 14.8482953663728, 14.8395197777251,      14.8395197777251, 14.7615340778399, 14.9536689261967, 14.8739209120931,      14.7935232496013, 14.9752079088984, 14.8350589102573), PROX_ELDERLYCARE = c(0.399519357429504,      0.399519357429504, 0.440212280139716, 0.363539264939185,      0.318998242024868, 0.267910637295867, 0.500918112427577,      0.396119369193007, 0.410896008057539, 0.374463671675583,      0.157028625587627, 0.157028625587627, 0.143171284390361,      0.143171284390361, 0.301679225956583, 1.13414610370389e-06,      0.224374856243457, 0.348662381557687, 0.199763345782594,      0.366071958673004), PROX_HAWKER = c(0.625641729464286, 0.625641729464286,      0.681591249319273, 0.571839614015762, 0.567748890704442,      0.507741768149319, 0.682637638745144, 0.661743266121302,      0.55845452984231, 0.515424723672587, 0.332945546865787, 0.332945546865787,      0.426817039061835, 0.426817039061835, 0.582527401679673,      0.283688306330561, 0.490895901627697, 0.61938764744993, 0.202333554334061,      0.625406547060166), PROX_MRT = c(1.46473462254762, 1.46473462254762,      1.51230084146916, 1.42703012637354, 1.53691575721219, 1.51619569366002,      1.32800225952209, 1.61118001364451, 1.30119397664661, 1.31347134818138,      1.41585626072206, 1.41585626072206, 1.58589972239689, 1.58589972239689,      1.75082728996661, 1.45204946878565, 1.67344316225132, 1.80023823132094,      1.27457972333389, 1.81204065654847), PROX_PARK = c(0.656743209310805,      0.656743209310805, 0.723946747094916, 0.592644125813336,      0.633519966923, 0.573128508978659, 0.65941869562705, 0.741043428920938,      0.524601749565547, 0.48594234877488, 0.40224168015695, 0.40224168015695,      0.573834160005083, 0.573834160005083, 0.739209778966795,      0.447466290733612, 0.671840643384197, 0.794674698621811,      0.259935562114549, 0.813480610745631), PROX_GOOD_PRISCH = c(5.25302892838613,      5.25302892838613, 5.22451833965112, 5.28617698570013, 5.34297669438126,      5.38500296681299, 5.15263130971644, 5.30307595814772, 5.26427170666348,      5.30673314037113, 5.51627049340211, 5.51627049340211, 5.56483468018996,      5.56483468018996, 5.53447364393692, 5.64958645026222, 5.63420261242257,      5.58881641790013, 5.6171537261999, 5.6396253746677), PROX_MALL = c(0.550646738699849,      0.550646738699849, 0.591658790399046, 0.523782484457491,      0.633302242537752, 0.626246838364162, 0.407798057490129,      0.69438942428714, 0.412850725186958, 0.439421746266814, 0.649229394533883,      0.649229394533883, 0.805396060532061, 0.805396060532061,      0.897398400321744, 0.806257336881612, 0.927972955155417,      0.980189305249844, 0.689421511186311, 1.03026167893405),          PROX_CHAS = c(0.19650938121062, 0.19650938121062, 0.179710137259641,          0.198893245072118, 0.120955806912261, 0.160113448728027,          0.0559452214520875, 0.0799578054615725, 0.0938393111767789,          0.0969357032130768, 0.274130336331615, 0.274130336331615,          0.204546662914522, 0.204546662914522, 0.166975848000366,          0.14456617920399, 0.25243947150411, 0.244316778428722,          0.230775629929228, 0.298721071991625), PROX_SUPERMARKET = c(0.27843134046436,          0.27843134046436, 0.343491998264143, 0.223766299699327,          0.327836032489634, 0.300165340388346, 0.202112654374605,          0.41943325951703, 0.0938384818523742, 0.0969351949685631,          0.296829834724774, 0.296829834724774, 0.280088374069707,          0.280088374069707, 0.408349928269047, 0.16127040484797,          0.298947211163532, 0.416104879739584, 0.264202614673064,          0.402632437071234), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          4L, 4L, 6L, 6L, 4L, 3L, 6L, 6L, 5L, 5L, 5L, 5L, 3L, 7L,          3L, 2L, 4L, 2L), WITHIN_350M_BUS = c(7L, 7L, 6L, 7L,          8L, 7L, 9L, 6L, 9L, 8L, 9L, 9L, 5L, 5L, 4L, 6L, 6L, 6L,          9L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L,          3L, 3L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 4.91870568460857, 69.9195549479869,          72.9853432336123, 92.7029672783407, 133.150077087837,          142.835909610597, 144.78504165513, 188.131809886046,          206.317807340777, 292.268691427341, 292.452393114483,          319.991218501251, 321.930799900355, 357.78304976229,          406.062338691032, 416.85757467138, 439.50394443019, 442.315191794997,          488.86123065746)), row.names = c("163", "961", "706",      "452", "583", "469", "702", "368", "324", "17", "762", "195",      "543", "152", "620", "139", "602", "478", "558", "27"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999797540344933, 0.959505949450872, 0.955917842926187,      0.929373697219115, 0.857134821726665, 0.836548635687846,      0.832263062720079, 0.725734647026719, 0.67549378112085, 0.412893671061892,      0.412316256278088, 0.326664012325287, 0.320735907749872,      0.215635560461831, 0.0961343413920896, 0.0744652204879968,      0.0367618908386056, 0.0328917522768724, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       481034523 
R squared (OOB):                  0.03110803 

$Forests[[164]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 340000, 420000,      370000, 446000, 420000, 365000, 415000, 358888, 380000, 360000,      304000, 316000, 388000, 370000, 315000, 308000, 440000, 345000,      365000), floor_area_sqm = c(104, 104, 99, 104, 107, 90, 107,      100, 91, 102, 103, 104, 104, 103, 98, 84, 84, 103, 92, 95     ), storey_order = c(1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 2L,      1L, 2L, 1L, 3L, 2L, 3L, 1L, 2L, 2L, 1L), remaining_lease_mths = c(763,      772, 929, 763, 783, 925, 766, 944, 763, 938, 777, 776, 777,      935, 767, 788, 795, 918, 742, 735), PROX_CBD = c(13.1145091682395,      13.1145091682395, 13.2222340992065, 13.075732494377, 13.1163383572019,      12.960867808991, 13.578535689825, 13.1525533734461, 13.6826822978472,      12.4172252614445, 13.7231688188033, 13.8730731524118, 13.8730731524118,      12.2384019056968, 12.6407298816561, 13.0463978034086, 13.3304860768802,      12.1964782349865, 13.8901285505698, 13.3652677077184), PROX_ELDERLYCARE = c(0.233566729538939,      0.233566729538939, 0.385934705647939, 0.206309775801723,      0.258125844069092, 0.579007844644764, 0.535215785060316,      0.640770029240432, 0.000158780971194199, 0.466477120293287,      0.681177733621966, 0.192118066579221, 0.192118066579221,      0.481492260541915, 0.198383641986835, 0.612412426395362,      0.85382998667073, 0.395535007521183, 0.540311266279695, 0.876024529291782     ), PROX_HAWKER = c(1.24018164124527, 1.24018164124527, 1.08380419022874,      1.2806114078583, 1.23349193679857, 1.16344345150942, 0.775756145922257,      0.959649545299011, 0.699744847940348, 1.89270186421095, 0.601426993813282,      0.635045114374877, 0.635045114374877, 2.08679181031876, 1.70233840124208,      1.36023111372333, 1.09459947163448, 2.11269605893479, 0.213123049695643,      0.775887609068758), PROX_MRT = c(0.402767024758649, 0.402767024758649,      0.503688459146237, 0.218393806785847, 0.166998983475289,      0.899387073359532, 0.357978123578611, 0.944408516927639,      0.751023886560838, 0.847625669994717, 0.498221170198522,      0.865482366580506, 0.865482366580506, 1.00400763232319, 0.712674611555213,      0.622051877914657, 0.525688124362732, 1.03396693725809, 0.793013171832836,      0.585785046275015), PROX_PARK = c(1.4917670023494, 1.4917670023494,      1.61082819122054, 1.31516124688894, 1.28385310080255, 1.44660566239193,      1.33984402369384, 1.65277848527316, 1.77145949687945, 0.790049777369869,      1.26781451063295, 1.73324375775577, 1.73324375775577, 0.617440020241687,      0.87239282209614, 0.572775970192077, 0.620743454357064, 0.631382355736929,      1.23128896715218, 1.30724345285799), PROX_GOOD_PRISCH = c(3.15473759747012,      3.15473759747012, 3.2388029474634, 3.06740437701091, 3.10133739012884,      2.82458087567675, 3.55013641033528, 2.95137840528657, 3.58938982364218,      2.44639044951476, 3.673854441535, 3.76914808697313, 3.76914808697313,      2.2532718981807, 2.56532775368338, 2.96540091825049, 3.24954726475941,      2.16851203086393, 3.56420611596829, 2.95461231779958), PROX_MALL = c(0.504156272689578,      0.504156272689578, 0.587950861513872, 0.332903613799786,      0.281310431650798, 0.695129776671669, 0.305514521023982,      0.703422933264244, 0.770100764029299, 0.95273084922996, 0.406890039239853,      0.861712986146148, 0.861712986146148, 1.10261213560447, 0.751522975449472,      0.587476612974174, 0.513372166694422, 1.12036230953297, 1.05377974643614,      0.473263954532778), PROX_CHAS = c(0.11048408202451, 0.11048408202451,      0.151225190585885, 0.122328851042638, 0.155371621529032,      0.341366062526918, 0.282171570268124, 0.1365287941905, 0.110149755252424,      0.132703338642494, 0.176857487498571, 0.0967538959757692,      0.0967538959757692, 0.187666753228527, 0.217156748290024,      0.40513819943783, 0.472814153962233, 0.194956542036987, 0.0812638133573676,      0.179342279988699), PROX_SUPERMARKET = c(0.362446168440829,      0.362446168440829, 0.459946280432931, 0.193246634773484,      0.141466460051892, 0.668273194253219, 0.281417393052806,      0.688592108834651, 0.11210687568128, 0.453312253927337, 0.270532795629183,      0.094684564379848, 0.094684564379848, 0.388917381074845,      0.217156859083098, 0.599997973636583, 0.510727353781082,      0.242376621204914, 0.082811926566736, 0.487840963146543),          WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          1L, 0L, 2L, 0L, 0L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 5L, 4L, 4L, 1L,          4L, 2L, 3L, 3L, 4L, 3L, 3L, 2L, 4L, 2L, 4L, 4L, 4L, 6L         ), WITHIN_350M_BUS = c(7L, 7L, 8L, 10L, 9L, 2L, 10L,          6L, 9L, 9L, 8L, 8L, 8L, 10L, 10L, 7L, 5L, 9L, 4L, 6L),          WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 3L, 3L, 3L, 4L, 2L,          2L, 2L, 3L, 2L, 2L, 2L, 3L, 4L, 3L, 2L, 4L, 2L), DNeighbour = c(0,          5.70960303231286, 152.546705079064, 234.332834647732,          262.813031269255, 498.30074581283, 553.119146675298,          554.470164372939, 603.539417092514, 707.813853257144,          758.856795329012, 777.289254525522, 781.929013005699,          907.69720416288, 916.209459696679, 974.473209370144,          995.319551983698, 1009.41841261472, 1034.23237339312,          1034.89709863283)), row.names = c("164", "844", "350",      "929", "105", "831", "856", "496", "1000", "296", "960",      "36", "230", "399", "477", "987", "61", "677", "214", "238"     ), class = "data.frame"), num.trees = 500, mtry = 4, importance = "impurity",      case.weights = c(1, 0.999939124733416, 0.957016930991473,      0.900086678416959, 0.875176994385065, 0.590069484228817,      0.510287636887521, 0.508293485814518, 0.435457356692477,      0.283255688194735, 0.213738141122186, 0.189991949807356,      0.184149064435722, 0.0532290905268873, 0.0467502869456649,      0.0128513465510409, 0.00562851505308959, 0.00236516380356024,      1.64919114573592e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2026688002 
R squared (OOB):                  -0.1177068 

$Forests[[165]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 374000, 375000,      365000, 356888, 345000, 370000, 412000, 450000, 435000, 365000,      369988, 395000, 437000, 330000, 390000, 450000, 510000, 485000,      470000), floor_area_sqm = c(90, 94, 90, 90, 91, 85, 90, 90,      94, 94, 91, 91, 90, 94, 85, 100, 95, 97, 95, 93), storey_order = c(3L,      3L, 4L, 3L, 5L, 6L, 2L, 3L, 4L, 2L, 5L, 4L, 1L, 3L, 4L, 6L,      3L, 2L, 6L, 5L), remaining_lease_mths = c(997, 987, 986,      979, 963, 968, 1016, 1034, 1123, 1113, 993, 1002, 997, 1120,      992, 942, 1126, 1104, 1113, 1125), PROX_CBD = c(13.5299248791723,      13.4804039164095, 13.5741440973944, 13.6373310118807, 13.1584578321731,      13.131637538161, 13.0393088300804, 13.9701294998534, 14.0429369190019,      14.0214886887106, 13.2138793761114, 13.2138793761114, 13.4480864429089,      14.0691382395842, 13.0825190214061, 12.9172885276263, 14.1366846915735,      13.7787547800329, 14.2445424628862, 14.2374266118925), PROX_ELDERLYCARE = c(0.737190256849548,      0.746393599063579, 0.759293685927778, 0.753498484846986,      0.528614390300154, 0.425459762987539, 0.38924985743242, 0.798789790509628,      1.1015647640471, 1.04333655871926, 0.200446926946864, 0.200446926946864,      0.38095926022983, 1.08280856328681, 0.120371550198491, 0.440978457512705,      1.17371591683522, 0.357313426679343, 1.24643506877499, 1.2819446304668     ), PROX_HAWKER = c(1.28441999759135, 1.28815813567136, 1.13978469441664,      1.08343538740726, 1.59466084315792, 1.67102672130552, 1.75849952292251,      0.796241674024292, 1.07710025413616, 1.2014358291776, 1.87231067409155,      1.87231067409155, 1.11021170000921, 1.21079813450924, 1.90213677974947,      1.76689210194785, 1.09084844555913, 0.779750574682814, 0.968852406622053,      1.02089221118434), PROX_MRT = c(0.189597864599581, 0.26513727845816,      0.147719870982538, 0.0904459633140829, 0.258879114766752,      0.197259382412543, 0.103022581922205, 0.262922949537813,      0.324573358240557, 0.325652198483679, 0.348476568009787,      0.348476568009787, 0.436627689790507, 0.281224364060027,      0.30821900832469, 0.0642144868642362, 0.218319465176875,      0.373119808041594, 0.184117552261459, 0.148741201515391),          PROX_PARK = c(0.695004999747215, 0.640650351334918, 0.739375101722708,          0.802899104641211, 0.332476768251147, 0.350705699368152,          0.291844359651056, 0.929619749314005, 0.58019258504408,          0.524931496780237, 0.701388397724732, 0.701388397724732,          0.782217598170287, 0.468913262301943, 0.557623544885242,          0.18581491955197, 0.474063272255088, 1.07510958061046,          0.481320095248247, 0.440474428767772), PROX_GOOD_PRISCH = c(4.45977917937361,          4.38951064564596, 4.41976113712118, 4.47444600576345,          4.13557899544262, 4.16094245740848, 4.09066115622083,          4.76155598853922, 4.9857651679507, 5.02043421457898,          4.43819501492863, 4.43819501492863, 4.1394886986689,          5.07622831499557, 4.27923006279343, 3.96344124390297,          5.09375212835948, 4.43794264479214, 5.1542412945362,          5.16870486361587), PROX_MALL = c(0.598877544697789, 0.548104683226502,          0.656440732478167, 0.719665126414215, 0.231810009894563,          0.249640338015364, 0.199839805040887, 0.698652085628877,          0.401409437181884, 0.399157770965225, 0.411800643307333,          0.411800643307333, 0.747053206605742, 0.352184781664103,          0.482494809972804, 0.125441786165087, 0.295276560881227,          0.579723774298741, 0.248497232357685, 0.22058685557285         ), PROX_CHAS = c(0.124645472322039, 0.196586841411628,          0.175269995719201, 0.111923036871509, 0.20604200841638,          0.23569948169583, 0.19843851708658, 0.224338502615803,          0.0207330025336023, 0.142774662207743, 0.186991486151685,          0.186991486151685, 0.419877338676521, 0.167321001424632,          0.1115602293269, 0.146232137849481, 0.0995517477546361,          0.2330532561781, 0.185564313785613, 0.177995101264401         ), PROX_SUPERMARKET = c(0.181636181040517, 0.253358431108118,          0.3594639622224, 0.371011221099329, 0.231809873410795,          0.249639808314143, 0.199839014107547, 0.281017798180362,          0.0207321820187816, 0.142773459146917, 0.40197012970004,          0.40197012970004, 0.428569074432488, 0.167319845962294,          0.482493892596986, 0.125440795942109, 0.0995512052866983,          0.233052713938452, 0.185564776027004, 0.177995229543633         ), WITHIN_350M_KINDERGARTEN = c(4L, 3L, 2L, 2L, 1L, 1L,          2L, 2L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 2L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 6L, 6L, 6L, 5L,          8L, 7L, 6L, 6L, 5L, 5L, 5L, 8L, 7L, 9L, 8L, 4L, 9L, 8L         ), WITHIN_350M_BUS = c(8L, 9L, 10L, 11L, 7L, 7L, 7L,          13L, 9L, 9L, 2L, 2L, 4L, 9L, 4L, 9L, 8L, 11L, 7L, 6L),          WITHIN_1KM_PRISCH = c(6L, 5L, 9L, 8L, 7L, 7L, 7L, 8L,          7L, 7L, 6L, 6L, 7L, 7L, 5L, 7L, 7L, 8L, 7L, 7L), DNeighbour = c(0,          76.0861759698575, 194.428657901264, 225.910086990204,          364.51751864482, 410.733235223589, 500.100081667361,          505.747050058024, 535.505424730794, 562.650677537138,          598.894258947458, 604.034190777088, 609.307388687533,          614.099996883879, 614.835821676381, 616.762519355069,          644.736769531834, 681.562111689458, 724.55167160517,          727.982162696985)), row.names = c("165", "72", "15",      "660", "339", "153", "141", "301", "754", "878", "474", "313",      "655", "57", "886", "887", "76", "549", "349", "537"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.97827191359715, 0.862425877335417, 0.816672294469925, 0.561415020477623,      0.464673342984975, 0.278863905627066, 0.267659152732953,      0.210579216886545, 0.162118883584564, 0.104459777785837,      0.0970543512650317, 0.0896777651450856, 0.083173827962111,      0.082192534702404, 0.0796452196491782, 0.0464944068589685,      0.0152435358857369, 8.84060840081703e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1510590608 
R squared (OOB):                  0.4042027 

$Forests[[166]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 458888, 460000,      455000, 468000, 420000, 422000, 510000, 485000, 452000, 460000,      440000, 475000, 430000, 426888, 425000, 390000, 382000, 323000,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      95, 92, 92, 92, 92, 92, 92, 92, 90, 86, 90, 90), storey_order = c(3L,      4L, 3L, 4L, 4L, 2L, 2L, 5L, 5L, 2L, 5L, 2L, 2L, 1L, 1L, 4L,      5L, 2L, 1L, 4L), remaining_lease_mths = c(1136, 1130, 1137,      1136, 1124, 1139, 1132, 1133, 1141, 1133, 1136, 1136, 1126,      1134, 1141, 988, 978, 989, 983, 973), PROX_CBD = c(12.6444338023734,      12.6444338023734, 12.6444338023734, 12.5530445309639, 12.5372560863306,      12.4951121122816, 12.6523002899419, 12.8180148044036, 12.8190940082697,      12.8941535537835, 12.5778468618744, 12.6445046545469, 12.6532888174316,      12.5852639843962, 12.5841594105866, 12.1902934701837, 12.4059518996545,      12.3082954752684, 12.0200214112876, 11.9491294576901), PROX_ELDERLYCARE = c(0.0933099122535032,      0.0933099122535032, 0.0933099122535032, 4.52036057904239e-07,      0.066903342124331, 0.0780281999502717, 0.17445131765005,      0.265081039187363, 0.268492105828742, 0.346816364720296,      0.25879478544564, 0.316798451576888, 0.373604611296459, 0.3637938018331,      0.419823195233641, 0.362754738306624, 0.404564014080405,      0.583230122785789, 0.618171206910468, 0.351349913726565),          PROX_HAWKER = c(0.0943584031018698, 0.0943584031018698,          0.0943584031018698, 0.183834631869038, 0.184899994018696,          0.227760265989261, 0.228019105088385, 0.116173376637396,          0.146347761938812, 0.172433027954251, 0.361759384229333,          0.385855619963418, 0.440383933038266, 0.45815519033126,          0.512822421809829, 0.536726116414185, 0.551023632791116,          0.732610931237137, 0.743318510800665, 0.693645859237657         ), PROX_MRT = c(0.135663244459145, 0.135663244459145,          0.135663244459145, 0.225183269009929, 0.250680884626282,          0.288636635543175, 0.189124878414716, 0.0414043955932523,          0.0524349257152741, 0.133852264483784, 0.325317058740364,          0.290856617513635, 0.24828698655044, 0.305105021876954,          0.285300897266269, 0.364194860258715, 0.467412150427879,          0.348338435446781, 0.291532437270123, 0.207404211118571         ), PROX_PARK = c(0.61385987529272, 0.61385987529272,          0.61385987529272, 0.665189387379371, 0.614568616662392,          0.64692671777276, 0.76865606278053, 0.594833919624026,          0.639036828502152, 0.541994755536806, 0.898636927133822,          0.927332929158558, 0.981635622560504, 0.998305920751222,          1.05356492524152, 0.883674706708426, 1.06942514246801,          1.248380402738, 0.871053837980522, 1.42337349535551),          PROX_GOOD_PRISCH = c(2.98554640042679, 2.98554640042679,          2.98554640042679, 2.90013878468328, 2.87119716545371,          2.83249303987555, 3.02962689364369, 3.15789060893291,          3.16783392704602, 3.22227453062783, 2.98751376551561,          3.06407026512831, 3.08870420529617, 3.02473222579279,          3.04090040576321, 2.54749739008747, 2.85954585658161,          2.82059786507503, 2.31713852475231, 2.48771655129493),          PROX_MALL = c(0.835997866672575, 0.835997866672575, 0.835997866672575,          0.801147315442336, 0.863947607104433, 0.848059510883206,          0.680457081346124, 0.881741038155881, 0.842111664425906,          0.965068597681967, 0.550769417999913, 0.525247230278188,          0.475487624694748, 0.450387082903272, 0.39575302739997,          0.835543217968543, 0.423524868376446, 0.312386349772529,          0.859289251142989, 0.591401580344059), PROX_CHAS = c(0.102096070463208,          0.102096070463208, 0.102096070463208, 0.0780281620295796,          0.0439945201117045, 3.19858778746232e-08, 0.162820120107843,          0.0772642002388838, 0.0812086980787344, 0.115846127710365,          0.236995708134403, 0.312339613016365, 0.362882313204726,          0.324614821605945, 0.369996201265779, 0.167384851183216,          0.187639553192951, 0.200650927390068, 0.310908028614088,          0.136369833447508), PROX_SUPERMARKET = c(0.102095775430648,          0.102095775430648, 0.102095775430648, 0.189775839444753,          0.218453608018692, 0.255060837787685, 0.162819600148508,          0.0772646744727167, 0.0812089624400091, 0.115845823699909,          0.299832635957983, 0.312339147167174, 0.36465940083402,          0.389269910824952, 0.385003628727568, 0.552359009160243,          0.375814638453933, 0.200651971059786, 0.507879796624066,          0.234851160706955), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L,          2L, 0L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(7L, 7L,          7L, 7L, 6L, 5L, 6L, 6L, 7L, 5L, 5L, 5L, 5L, 4L, 4L, 3L,          4L, 4L, 1L, 6L), WITHIN_350M_BUS = c(10L, 10L, 10L, 11L,          10L, 10L, 11L, 9L, 9L, 6L, 8L, 11L, 11L, 11L, 10L, 12L,          10L, 8L, 6L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          4L, 4L, 4L, 4L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 5L, 3L, 5L,          6L, 4L, 7L), DNeighbour = c(0, 5.95631603919404, 7.16355744049563,          99.1636301127599, 113.279992465042, 150.072543572268,          165.717794993131, 172.143741703935, 187.046374555783,          248.831413025299, 287.226230658052, 323.055128037921,          383.845623997904, 389.947583059015, 443.305614614756,          452.275374976897, 465.235085412617, 643.133658062188,          689.022425728714, 882.728432826135)), row.names = c("166",      "807", "92", "764", "672", "791", "311", "115", "44", "371",      "355", "144", "759", "180", "868", "783", "138", "231", "909",      "175"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999908941321341,      0.99986828993657, 0.974919766644175, 0.967334349652721, 0.943028694085875,      0.9307543167147, 0.925385957323779, 0.912216401479174, 0.847391324845632,      0.799459278705177, 0.750065931761832, 0.657581810597785,      0.647790987709147, 0.559198629764362, 0.543886327505943,      0.521611231295832, 0.220128761230983, 0.152666984875281,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1083325360 
R squared (OOB):                  0.404306 

$Forests[[167]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 450000, 425000,      395000, 445000, 438000, 430000, 456500, 450000, 432000, 431000,      436000, 440000, 420000, 435000, 425000, 358000, 418000, 460000,      415000), floor_area_sqm = c(94, 94, 94, 94, 94, 94, 92, 92,      93, 92, 92, 92, 92, 92, 92, 94, 93, 92, 92, 92), storey_order = c(7L,      7L, 6L, 4L, 6L, 5L, 6L, 8L, 9L, 6L, 7L, 7L, 8L, 5L, 2L, 5L,      1L, 6L, 7L, 8L), remaining_lease_mths = c(1120, 1119, 1119,      1113, 1109, 1076, 1126, 1144, 1136, 1137, 1138, 1139, 1142,      1132, 1128, 1083, 1103, 1129, 1125, 1140), PROX_CBD = c(12.0119641769274,      12.0119641769274, 11.9828723130509, 11.9744040829633, 12.1122271384014,      11.9414743986494, 12.0797672032522, 11.9527102757424, 12.1741021183779,      11.9317097346946, 11.9317097346946, 12.042332185553, 12.042332185553,      12.042332185553, 12.042332185553, 11.8751655684431, 11.8075546541859,      12.02897658153, 12.02897658153, 12.02897658153), PROX_ELDERLYCARE = c(0.673044116243487,      0.673044116243487, 0.710325725805382, 0.738781707341689,      0.629785153682861, 0.687500817542951, 0.550577233037288,      0.819362766143575, 0.519600844901231, 0.680106913101551,      0.680106913101551, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.786890441142101, 0.727329111385366,      0.922118515238085, 0.841755023464642, 0.841755023464642,      0.841755023464642), PROX_HAWKER = c(0.222580914455278, 0.222580914455278,      0.20448046373977, 0.217370340361849, 0.337796349528525, 0.147098227142532,      0.286867197183981, 0.27814297307049, 0.375471053349032, 0.161367564791002,      0.161367564791002, 0.369655971945997, 0.369655971945997,      0.369655971945997, 0.369655971945997, 0.145379780608352,      0.209140712961875, 0.409616357379742, 0.409616357379742,      0.409616357379742), PROX_MRT = c(0.201095784108649, 0.201095784108649,      0.170867756883987, 0.167322140356011, 0.302747284955937,      0.183575431830776, 0.285059794417971, 0.200702114351669,      0.338849049026276, 0.214149342621172, 0.214149342621172,      0.298263347673859, 0.298263347673859, 0.298263347673859,      0.298263347673859, 0.191731142133254, 0.120215557602138,      0.331072457322778, 0.331072457322778, 0.331072457322778),          PROX_PARK = c(0.691047645736797, 0.691047645736797, 0.697136724289492,          0.679906922269617, 0.576425078157325, 0.807374064658721,          0.747342190235743, 0.643017670933737, 0.612679613149166,          0.785212145526225, 0.785212145526225, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.542226246468638,          0.723512884628395, 0.747098338531098, 0.529446955515876,          0.529446955515876, 0.529446955515876), PROX_GOOD_PRISCH = c(2.29976812492723,          2.29976812492723, 2.27447890050516, 2.27223739349538,          2.408030235171, 2.21615815400514, 2.35145083667271, 2.270018309959,          2.45580221931744, 2.20126444296921, 2.20126444296921,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.36724315061599, 2.14229157607785, 2.12338877581429,          2.36775586018775, 2.36775586018775, 2.36775586018775),          PROX_MALL = c(0.251262654177611, 0.251262654177611, 0.220402811054307,          0.214069216816763, 0.350899017798137, 0.22663965361209,          0.356578632219481, 0.232344363503357, 0.416829357908565,          0.255684281538694, 0.255684281538694, 0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.249449426365425, 0.119447773727589, 0.358721564938295,          0.358721564938295, 0.358721564938295), PROX_CHAS = c(0.131248018016709,          0.131248018016709, 0.0995919009989899, 0.0939357367291076,          0.0703863092474096, 0.156140837156126, 0.146949814741425,          0.146038815472653, 0.0461624602204791, 0.203726500797623,          0.203726500797623, 0.236223262451169, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.179410689617013,          0.11944771257822, 0.25157977989641, 0.25157977989641,          0.25157977989641), PROX_SUPERMARKET = c(0.261515416493987,          0.261515416493987, 0.230351837454113, 0.22318738818849,          0.360308355053667, 0.236998053946951, 0.315486318912089,          0.237998550380205, 0.427183407476201, 0.217804588957955,          0.217804588957955, 0.33849828517841, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.179159947933279,          0.119571834445138, 0.314501000490003, 0.314501000490003,          0.314501000490003), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L,          1L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 7L, 7L, 6L, 5L, 5L, 7L, 6L, 6L, 4L, 4L, 4L, 4L, 7L,          4L, 4L, 4L, 4L), WITHIN_350M_BUS = c(6L, 6L, 7L, 10L,          7L, 8L, 9L, 12L, 5L, 8L, 8L, 10L, 10L, 10L, 10L, 6L,          10L, 11L, 11L, 11L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L,          3L, 3L, 3L), DNeighbour = c(0, 7.4011422910126, 33.0846997132324,          66.5883991806496, 120.700562158001, 127.977920802394,          152.326563535254, 168.485208774271, 170.08530186671,          179.875261202123, 181.240611496085, 211.544950797677,          211.733401065524, 212.276239804944, 214.025379878195,          233.475189987616, 237.102433917249, 268.37880221254,          269.625781948084, 273.60370196214)), row.names = c("167",      "947", "203", "858", "607", "781", "900", "749", "621", "392",      "613", "573", "16", "634", "908", "250", "724", "700", "874",      "287"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998537066309365,      0.97096955895006, 0.885045247626395, 0.648646198940639, 0.610290092531336,      0.476153528699165, 0.385380396622818, 0.37644762060886, 0.322380821420794,      0.314944895460975, 0.161758773769711, 0.160902786888336,      0.158445551618238, 0.15061487173217, 0.0738872154375745,      0.0620112061108698, 0.00143099653283121, 0.000833279854314367,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       432389133 
R squared (OOB):                  0.1671537 

$Forests[[168]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 358000, 363000,      340000, 345000, 430000, 370000, 660000, 672000, 355000, 440000,      675000, 550000, 710000, 662000, 715000, 680000, 380000, 380000,      492500), floor_area_sqm = c(104, 84, 84, 84, 84, 104, 84,      85, 85, 84, 91, 95, 102, 93, 95, 95, 95, 93, 92, 108), storey_order = c(2L,      3L, 4L, 1L, 1L, 2L, 3L, 3L, 5L, 3L, 5L, 2L, 3L, 6L, 3L, 6L,      4L, 3L, 1L, 2L), remaining_lease_mths = c(783, 770, 780,      780, 789, 781, 777, 1032, 1042, 782, 669, 1093, 761, 1084,      1093, 1099, 1084, 790, 767, 912), PROX_CBD = c(6.8579883001408,      6.82164733234375, 6.82164733234375, 6.73119135364588, 7.23308787648785,      7.27303659463988, 7.32999369210923, 6.62545736407856, 6.58265946872266,      7.37752466520609, 6.95185067667089, 6.15852201326599, 6.04257091454572,      6.17931132662417, 6.11286474740545, 6.06656257116635, 6.04001281876484,      7.92065359752155, 8.01258306529517, 8.12312779702036), PROX_ELDERLYCARE = c(0.650979480304367,      0.729511559050305, 0.729511559050305, 0.709869492714774,      0.804640181087392, 0.949520652768775, 1.04617467786566, 0.121758896932011,      0.129826558983194, 1.11141904944431, 0.368543492371998, 0.428116600598184,      0.548656319889636, 0.411122241220865, 0.471592353212743,      0.516985202466339, 0.545921172841312, 1.44631042678071, 1.38923408288603,      1.71708078323557), PROX_HAWKER = c(0.732876252375814, 0.834207881424508,      0.834207881424508, 0.84617550022745, 0.727393295990439, 0.905159668549179,      1.00458194418859, 0.33268573973532, 0.37361464573735, 1.06790139631185,      0.163396016993116, 0.104458461300263, 0.19523132016882, 0.114709112077857,      0.0855319563513606, 0.0900485470251793, 0.0606577495598573,      0.646393168274836, 0.532883444787396, 0.581802643409563),          PROX_MRT = c(0.479854345281657, 0.401668294921849, 0.401668294921849,          0.447149108468339, 0.626719191507479, 0.477339162120678,          0.446590670593176, 0.255638745600017, 0.288098631383321,          0.450606800129455, 0.258776848421036, 0.567634817298681,          0.448203274012385, 0.54480998513683, 0.576684647572531,          0.530436532640755, 0.53617676606472, 0.434970780163821,          0.57194553577364, 0.142211914808532), PROX_PARK = c(1.26891760289394,          1.33915084667526, 1.33915084667526, 1.30601230217613,          1.17683143601381, 1.28136359713013, 1.30043300411079,          0.741691321664553, 0.734858817801552, 1.30417314517193,          0.871860056746433, 0.487498062645995, 0.651264615899835,          0.461766774013401, 0.517760851715104, 0.548254609843109,          0.524571131123829, 0.790688256163915, 0.580004121625521,          0.921087542045637), PROX_GOOD_PRISCH = c(2.57894825178105,          2.67483404440455, 2.67483404440455, 2.67147237000904,          2.53413597667736, 2.72285479219865, 2.81856751915823,          2.08436883673306, 2.10026546945211, 2.87682745937193,          1.99104033276262, 1.97696478280336, 2.14268529299874,          1.95037752635058, 2.00772186702724, 2.03651743937875,          2.00925132829891, 2.86596411907387, 2.75227504535898,          3.16123688190063), PROX_MALL = c(0.985446043286547, 0.977306285381771,          0.977306285381771, 0.894914409230097, 1.33824767405872,          1.40144317349524, 1.4733570331857, 0.757747380414752,          0.712222885156031, 1.52964479685301, 1.10491400246256,          0.446404896609829, 0.264532440460292, 0.476611693189829,          0.403935094648282, 0.365617038961166, 0.387042201482337,          2.02812113432733, 2.11322307221905, 2.25269448786787),          PROX_CHAS = c(0.418063314797021, 0.389404577789016, 0.389404577789016,          0.468632365618207, 0.335243362149438, 0.150676124399865,          0.100781853121145, 0.152169077912936, 0.19769969897302,          0.123680988169118, 0.197049444171332, 0.0766942583569258,          0.12619956254809, 0.10259225576309, 0.0679258481743644,          0.0929349198733403, 0.134421273847083, 0.0418426354504526,          0.1333322783253, 0.169904154790832), PROX_SUPERMARKET = c(0.471666412940503,          0.457775852816324, 0.457775852816324, 0.541263540151477,          0.400791637001426, 0.216512452964216, 0.154588063793208,          0.21094349839638, 0.255985378039003, 0.15284622075069,          0.145490551360364, 0.11965836137487, 0.178930757423705,          0.134806953278168, 0.0895469396191502, 0.0785030623714358,          0.0393286469640316, 0.6226371739075, 0.475213328012689,          0.496146947525001), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 2L, 1L, 1L, 0L, 1L, 1L,          1L, 1L, 2L, 1L, 2L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 2L, 2L, 4L, 4L, 0L, 0L, 5L, 3L, 3L, 4L, 3L, 3L, 3L,          4L, 3L, 2L, 1L), WITHIN_350M_BUS = c(3L, 4L, 4L, 4L,          4L, 7L, 8L, 2L, 2L, 9L, 4L, 6L, 7L, 6L, 6L, 8L, 8L, 6L,          6L, 8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L, 3L,          3L, 2L, 2L, 3L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 3L, 2L, 1L         ), DNeighbour = c(0, 108.614250043447, 109.121153884033,          167.512686291835, 398.985794772633, 416.291487351181,          492.833057461544, 530.085398874238, 532.970390795858,          553.450357169598, 613.818754797674, 933.14515663585,          933.543593797892, 937.271534568706, 960.482810880115,          977.968559275337, 1020.77836795943, 1073.06026991167,          1189.58981067854, 1274.66374567235)), row.names = c("168",      "46", "322", "529", "171", "611", "187", "841", "388", "948",      "492", "23", "453", "756", "536", "297", "930", "1", "200",      "669"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98553118978285,      0.985396320301, 0.965757330511314, 0.813645711307756, 0.798055384230817,      0.723369454096715, 0.684024975414341, 0.680906233137422,      0.658493699464547, 0.589987213998459, 0.21536202233212, 0.214937362886244,      0.210975682988635, 0.186805272485407, 0.169207294743942,      0.128654663555013, 0.0848608897628359, 0.0166487369462367,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2342892407 
R squared (OOB):                  0.8917153 

$Forests[[169]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 330000, 310000,      330000, 310000, 350000, 338000, 332000, 330000, 3e+05, 305000,      385000, 4e+05, 342000, 375000, 365000, 370000, 368000, 345000,      3e+05), floor_area_sqm = c(107, 105, 104, 104, 104, 107,      103, 104, 105, 85, 90, 90, 100, 105, 100, 91, 92, 100, 95,      94), storey_order = c(1L, 1L, 2L, 3L, 3L, 3L, 4L, 3L, 1L,      2L, 1L, 3L, 5L, 4L, 5L, 4L, 3L, 2L, 3L, 2L), remaining_lease_mths = c(909,      909, 840, 847, 838, 910, 836, 838, 896, 979, 966, 1060, 923,      822, 935, 1061, 922, 937, 1003, 817), PROX_CBD = c(18.5552891680356,      18.4634083712346, 18.6954685875173, 18.238428451998, 18.2872060948971,      18.8361111070307, 18.1853470145009, 18.3394484051955, 17.9794873864528,      18.0119212314593, 18.0816861587931, 17.6242343596777, 18.2155576397088,      18.4174433264455, 18.2155576397088, 17.5974072281911, 18.2744201988815,      18.1853912561079, 17.7047470513727, 18.4835571341017), PROX_ELDERLYCARE = c(1.77696496808422,      1.70649895251479, 1.96536267509963, 1.49823830734066, 1.57361264937598,      2.10089317294022, 1.46334015610348, 1.68689945441126, 1.20397588034421,      1.25793892145158, 1.34637729166943, 0.892136309268664, 1.82774218733134,      2.01990466694452, 1.82774218733134, 0.819477307137174, 1.91030467455468,      1.83831888483507, 0.933045885854195, 2.12772209584432), PROX_HAWKER = c(0.788681622626877,      0.656056303664779, 0.696312293428963, 0.548143788898404,      0.464971900021808, 0.811063273063077, 0.490406092071559,      0.322806547864559, 0.736691454978467, 1.33204585660377, 1.41733367811242,      0.816419857336687, 0.218122417644225, 0.365194571711665,      0.218122417644225, 0.922900854400271, 0.292675997882175,      0.267411626133086, 1.00938993481846, 0.47819209562201), PROX_MRT = c(1.18994045686449,      1.05945750202888, 1.06426899086337, 0.950317003394984, 0.870907467758581,      1.15964764660018, 0.888080533877704, 0.722989849955079, 1.05284557964442,      1.54554013822754, 1.64690112478102, 0.729175757939742, 0.24629140143503,      0.394110762668951, 0.24629140143503, 0.830609903675807, 0.25859759791353,      0.186589372260449, 1.29287496569192, 0.440067919828323),          PROX_PARK = c(0.662341635279621, 0.707700114575514, 0.939968281858902,          0.690805332809177, 0.791043930625847, 0.99599902820202,          0.741201414908801, 0.845903786092674, 0.555889077383573,          0.23250554954982, 0.243247600736397, 0.830497330619545,          0.449638685926872, 0.305293053539538, 0.449638685926872,          0.751240825934154, 0.366705585759005, 0.431621232177097,          0.495314460898113, 0.199823808978303), PROX_GOOD_PRISCH = c(7.9054148179446,          7.80883552790736, 8.03533881462458, 7.58243576478886,          7.62743554697163, 8.17598486214089, 7.52724739525134,          7.67457853159282, 7.33264137396139, 7.41905192895776,          7.49669975318446, 6.97273607492461, 7.54917724573578,          7.75189187586876, 7.54917724573578, 6.95474206477502,          7.60907430161507, 7.51998659904145, 7.10206992983331,          7.82005706650481), PROX_MALL = c(0.238299753757691, 0.25445476080495,          0.50227152913363, 0.291730094824992, 0.369641594977131,          0.605524804958104, 0.362005799982455, 0.270650184250749,          0.387548928263219, 0.658794213245526, 0.694568288644574,          0.671391539314818, 0.249434383428027, 0.368677515727611,          0.249434383428027, 0.757845794253982, 0.31638525459609,          0.304347432784639, 0.790613232916467, 0.482762920255867         ), PROX_CHAS = c(0.177138384703249, 0.163921847201363,          0.387978032092424, 0.0811018368302058, 0.000458346083760352,          0.526621492045347, 0.11010335009361, 0.186439783883369,          0.324283073315245, 0.166262674114357, 0.119012364389208,          0.0497500971788425, 0.246283235408848, 0.279695275413424,          0.246283235408848, 0.175468897673469, 0.258594927218762,          0.186582621643492, 0.40646651865696, 0.297885151722028         ), PROX_SUPERMARKET = c(0.237159648524433, 0.25256410508494,          0.500728516827066, 0.289827711639516, 0.367596841627256,          0.596975645906049, 0.36017462873485, 0.279112228601587,          0.337417678694655, 0.385510043100507, 0.485184742393951,          0.442456788826315, 0.233030240431279, 0.3481604922123,          0.233030240431279, 0.336744227428862, 0.297968471640837,          0.289364184128333, 0.260900811674997, 0.402675729717655         ), WITHIN_350M_KINDERGARTEN = c(3L, 4L, 0L, 4L, 6L, 0L,          7L, 4L, 2L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 4L, 3L,          4L, 4L, 3L, 3L, 3L, 2L, 7L, 7L, 7L, 3L, 7L, 7L, 2L, 9L         ), WITHIN_350M_BUS = c(10L, 12L, 8L, 10L, 9L, 4L, 11L,          11L, 9L, 9L, 8L, 12L, 15L, 14L, 15L, 6L, 17L, 16L, 6L,          12L), WITHIN_1KM_PRISCH = c(4L, 4L, 5L, 4L, 5L, 4L, 5L,          6L, 5L, 4L, 3L, 4L, 6L, 5L, 6L, 4L, 5L, 4L, 3L, 5L),          DNeighbour = c(0, 132.722140212372, 272.244267472912,          340.990003538766, 361.716013520402, 363.08009114333,          417.999454513356, 466.672525148331, 582.760212329271,          890.03827736106, 909.746313561451, 938.440576477976,          956.46256884457, 962.80117106368, 964.882331500328, 967.74006335497,          1003.23566387114, 1020.51569435602, 1036.02654771171,          1051.03432462891)), row.names = c("169", "748", "817",      "839", "414", "906", "857", "693", "870", "228", "85", "300",      "643", "257", "571", "720", "835", "31", "631", "774"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.96836218863576, 0.870313603582932, 0.800565683045176, 0.777146459302853,      0.775569276419015, 0.708681724443829, 0.644572579242978,      0.479653458068687, 0.0800288154084054, 0.0628928166465699,      0.0411185588372539, 0.0295369107150144, 0.0258728331976708,      0.0247177085557523, 0.0231706456969666, 0.00790094251979641,      0.00327531690082298, 0.000803961710576268, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       900384568 
R squared (OOB):                  -0.05083351 

$Forests[[170]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(305000, 310500, 320000,      319000, 328000, 310000, 323000, 280000, 323000, 305000, 325000,      335000, 432000, 420000, 410000, 415000, 333000, 313000, 365000,      388000), floor_area_sqm = c(91, 92, 101, 101, 92, 89, 101,      90, 91, 99, 91, 100, 92, 92, 92, 92, 99, 99, 92, 92), storey_order = c(4L,      4L, 2L, 4L, 3L, 1L, 1L, 3L, 2L, 4L, 2L, 4L, 4L, 1L, 2L, 2L,      3L, 4L, 1L, 1L), remaining_lease_mths = c(932, 932, 931,      950, 923, 946, 937, 958, 974, 930, 970, 927, 1123, 1121,      1136, 1125, 927, 918, 1135, 1134), PROX_CBD = c(17.1300558853523,      17.1621565450396, 17.1235753252943, 17.1356331652512, 17.049182232397,      17.0860498579873, 17.4093430047218, 17.0860498579873, 16.9744532057656,      17.5508688704121, 17.7083177660008, 17.5934100264964, 17.7152334804069,      17.7152334804069, 17.7152334804069, 17.7609329148819, 17.6933534103443,      17.8728040148932, 17.8160591469996, 17.8160591469996), PROX_ELDERLYCARE = c(0.650159488421832,      0.588822776266157, 0.697818713768909, 0.585213362825854,      0.850080656271298, 0.634635376150565, 0.347622879353981,      0.634635376150565, 0.669866762803474, 0.169110695114153,      0.378187975507624, 0.183364759720919, 0.0982899037000713,      0.0982899037000713, 0.0982899037000713, 0.0656405943898966,      0.174626049595048, 0.330981516384048, 0.101440000613482,      0.101440000613482), PROX_HAWKER = c(0.747949107581356, 0.776103543372746,      0.705945006380572, 0.905166107754752, 0.714958983882519,      0.984075399620173, 0.646263997619536, 0.984075399620173,      1.16076193719705, 0.736171211400498, 0.340346390827249, 0.860123145519879,      0.815736811633103, 0.815736811633103, 0.815736811633103,      0.769612072642938, 0.89059259132002, 0.446535534086157, 0.755409785256781,      0.755409785256781), PROX_MRT = c(0.826263947198081, 0.827901946736494,      0.782769723074986, 0.689848925621533, 0.785333186388227,      0.610921595420819, 0.722831181419355, 0.610921595420819,      0.434229027914827, 0.804998329325227, 0.403335562748004,      0.675234243169572, 0.674833365376197, 0.674833365376197,      0.674833365376197, 0.714624513867521, 0.606842528225389,      0.4868918768976, 0.729659889526201, 0.729659889526201), PROX_PARK = c(2.21165427538899,      2.12305734030611, 2.27471658155514, 2.00545012030434, 2.39009267562017,      1.98249707589613, 1.92330050908574, 1.98249707589613, 1.94357933186421,      1.71737354643835, 1.86766019581863, 1.60355051242194, 1.52614967260321,      1.52614967260321, 1.52614967260321, 1.52091098886828, 1.49905344652453,      1.69875568186822, 1.49250729308795, 1.49250729308795), PROX_GOOD_PRISCH = c(7.71077701272798,      7.75790588282746, 7.68854504458572, 7.76178719780886, 7.5878538843241,      7.72567604662297, 8.00696366683488, 7.72567604662297, 7.64555391975429,      8.17476856172454, 8.26299778187914, 8.24279341902993, 8.35538963357137,      8.35538963357137, 8.35538963357137, 8.39120163011403, 8.34857469941546,      8.43952013253886, 8.44175881664207, 8.44175881664207), PROX_MALL = c(0.568151229694078,      0.509108711773916, 0.614584601713128, 0.382407895591973,      0.718658142186859, 0.314944256820634, 0.265229996889848,      0.314944256820634, 0.199292924769147, 0.109574351562212,      0.335143296665789, 0.188384425612312, 0.158599011552442,      0.158599011552442, 0.158599011552442, 0.147411017927622,      0.223321337745784, 0.330972758922268, 0.183177100903513,      0.183177100903513), PROX_CHAS = c(0.159798231789153, 0.242301342816858,      0.076148424020495, 0.257714074421561, 0.13498084818294, 0.250499161266826,      0.23105278557526, 0.250499161266826, 0.199292963025488, 0.048268048492383,      0.30242004444134, 0.151781240761386, 0.158598978424062, 0.158598978424062,      0.158598978424062, 0.14741100268466, 0.21485891447712, 0.330972805611547,      0.183177099178452, 0.183177099178452), PROX_SUPERMARKET = c(0.260386915772359,      0.263452146302603, 0.307215454393191, 0.257714572429151,      0.397684558683682, 0.250499698074938, 0.313773352526138,      0.250499698074938, 0.25551504160041, 0.15801430638391, 0.332189289926598,      0.209139790637019, 0.144345834884574, 0.144345834884574,      0.144345834884574, 0.113022549454425, 0.218378438252518,      0.300218301814749, 0.137568853383185, 0.137568853383185),          WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 0L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 5L, 12L, 6L,          7L, 6L, 6L, 7L, 6L, 6L, 6L, 6L, 6L, 8L, 5L, 4L, 8L, 8L         ), WITHIN_350M_BUS = c(13L, 11L, 11L, 11L, 8L, 11L, 13L,          11L, 13L, 12L, 7L, 12L, 12L, 12L, 12L, 10L, 13L, 8L,          15L, 15L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 2L,          4L, 5L, 4L, 4L, 6L, 5L, 8L, 7L, 7L, 7L, 6L, 8L, 7L, 6L,          6L), DNeighbour = c(0, 82.3064163988072, 90.60562889857,          231.134106832058, 257.472060897064, 296.476066513484,          297.827186328004, 302.62264606585, 455.413943094781,          501.962334067965, 584.520773222503, 613.914638680607,          687.766704523941, 690.125700849711, 690.707477934398,          709.558579596293, 709.820396083287, 739.922751859323,          742.597689904252, 748.582744406989)), row.names = c("170",      "190", "871", "99", "520", "685", "174", "704", "902", "438",      "544", "419", "298", "289", "13", "365", "112", "992", "402",      "53"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.975968287768025,      0.970915080543532, 0.818420320295616, 0.777396883418604,      0.710892705942188, 0.708478439636139, 0.699854751890664,      0.396759047423328, 0.302898754087579, 0.152329617439405,      0.107211558267151, 0.024299495137021, 0.0225247527549634,      0.0220965010675904, 0.010311152799413, 0.0101769137430352,      0.000529147409008216, 0.000253651459069099, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2265229888 
R squared (OOB):                  -0.1163909 

$Forests[[171]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 430000, 370000,      355000, 4e+05, 358000, 363000, 340000, 440000, 380000, 660000,      672000, 380000, 377000, 378000, 492500, 650000, 388000, 352000,      410000), floor_area_sqm = c(84, 104, 84, 84, 104, 84, 84,      84, 91, 93, 85, 85, 92, 98, 84, 108, 104, 98, 84, 103), storey_order = c(1L,      2L, 3L, 3L, 2L, 3L, 4L, 1L, 5L, 3L, 3L, 5L, 1L, 3L, 3L, 2L,      3L, 2L, 2L, 2L), remaining_lease_mths = c(789, 781, 777,      782, 783, 770, 780, 780, 669, 790, 1032, 1042, 767, 735,      799, 912, 815, 728, 800, 799), PROX_CBD = c(7.23308787648785,      7.27303659463988, 7.32999369210923, 7.37752466520609, 6.8579883001408,      6.82164733234375, 6.82164733234375, 6.73119135364588, 6.95185067667089,      7.92065359752155, 6.62545736407856, 6.58265946872266, 8.01258306529517,      8.07728506382532, 8.15960948514705, 8.12312779702036, 7.71625132507906,      8.19895861369783, 8.28689365911172, 8.31972436488376), PROX_ELDERLYCARE = c(0.804640181087392,      0.949520652768775, 1.04617467786566, 1.11141904944431, 0.650979480304367,      0.729511559050305, 0.729511559050305, 0.709869492714774,      0.368543492371998, 1.44631042678071, 0.121758896932011, 0.129826558983194,      1.38923408288603, 1.22552837794249, 1.45090119588013, 1.71708078323557,      1.13999552495818, 1.1658248464307, 1.3668692597991, 1.3912791419992     ), PROX_HAWKER = c(0.727393295990439, 0.905159668549179,      1.00458194418859, 1.06790139631185, 0.732876252375814, 0.834207881424508,      0.834207881424508, 0.84617550022745, 0.163396016993116, 0.646393168274836,      0.33268573973532, 0.37361464573735, 0.532883444787396, 0.503102516785602,      0.40344417957638, 0.581802643409563, 0.888477780938884, 0.391405491562813,      0.269406334629514, 0.252588085280054), PROX_MRT = c(0.626719191507479,      0.477339162120678, 0.446590670593176, 0.450606800129455,      0.479854345281657, 0.401668294921849, 0.401668294921849,      0.447149108468339, 0.258776848421036, 0.434970780163821,      0.255638745600017, 0.288098631383321, 0.57194553577364, 0.711885268750489,      0.408889372474398, 0.142211914808532, 0.227897729387739,      0.707144761815547, 0.467794692056616, 0.44379796826936),          PROX_PARK = c(1.17683143601381, 1.28136359713013, 1.30043300411079,          1.30417314517193, 1.26891760289394, 1.33915084667526,          1.33915084667526, 1.30601230217613, 0.871860056746433,          0.790688256163915, 0.741691321664553, 0.734858817801552,          0.580004121625521, 0.413960848298732, 0.650146210437373,          0.921087542045637, 0.374132090410645, 0.372450573927522,          0.570592214216024, 0.59965919275643), PROX_GOOD_PRISCH = c(2.53413597667736,          2.72285479219865, 2.81856751915823, 2.87682745937193,          2.57894825178105, 2.67483404440455, 2.67483404440455,          2.67147237000904, 1.99104033276262, 2.86596411907387,          2.08436883673306, 2.10026546945211, 2.75227504535898,          2.66084492380109, 2.95345383530684, 3.16123688190063,          1.93537396204111, 2.73491137460549, 2.99359805566516,          3.04207330950824), PROX_MALL = c(1.33824767405872, 1.40144317349524,          1.4733570331857, 1.52964479685301, 0.985446043286547,          0.977306285381771, 0.977306285381771, 0.894914409230097,          1.10491400246256, 2.02812113432733, 0.757747380414752,          0.712222885156031, 2.11322307221905, 2.0316459728171,          2.20417563031698, 2.25269448786787, 1.9342939090943,          1.94983703099632, 2.09618768409308, 2.10790194839897),          PROX_CHAS = c(0.335243362149438, 0.150676124399865, 0.100781853121145,          0.123680988169118, 0.418063314797021, 0.389404577789016,          0.389404577789016, 0.468632365618207, 0.197049444171332,          0.0418426354504526, 0.152169077912936, 0.19769969897302,          0.1333322783253, 0.279534674537085, 0.102408834624747,          0.169904154790832, 0.147762521806201, 0.293834776478611,          0.229330661012247, 0.261198443001062), PROX_SUPERMARKET = c(0.400791637001426,          0.216512452964216, 0.154588063793208, 0.15284622075069,          0.471666412940503, 0.457775852816324, 0.457775852816324,          0.541263540151477, 0.145490551360364, 0.6226371739075,          0.21094349839638, 0.255985378039003, 0.475213328012689,          0.412975566732202, 0.391977689272912, 0.496146947525001,          0.185503456748824, 0.293834967432244, 0.266710264104055,          0.272257424647181), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 2L, 0L, 0L, 0L, 0L, 1L, 2L, 1L, 0L, 1L, 1L, 1L,          2L, 3L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 4L,          4L, 5L, 1L, 1L, 1L, 2L, 3L, 3L, 0L, 0L, 2L, 2L, 2L, 1L,          3L, 3L, 2L, 3L), WITHIN_350M_BUS = c(4L, 7L, 8L, 9L,          3L, 4L, 4L, 4L, 4L, 6L, 2L, 2L, 6L, 6L, 7L, 8L, 6L, 7L,          7L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 2L,          2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 1L, 1L, 1L         ), DNeighbour = c(0, 187.64529523494, 288.359574077673,          347.606624914348, 398.985794772633, 471.986965308489,          472.708725885573, 558.481077409591, 561.245034813229,          696.580684340234, 706.091042929281, 730.149550888663,          794.068699253534, 888.556596251465, 923.946565138807,          933.924616532218, 987.144002441286, 1006.43197768344,          1054.94380672073, 1092.97975447029)), row.names = c("171",      "611", "187", "948", "168", "46", "322", "529", "492", "1",      "841", "388", "200", "395", "327", "669", "809", "29", "266",      "540"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.941919129835545,      0.865633639837046, 0.80793719765128, 0.751243108660619, 0.661812334979975,      0.660883997462298, 0.545985809239711, 0.542163924591348,      0.352622097946732, 0.339484659907839, 0.306614958956894,      0.222946977432647, 0.114978279253624, 0.0814470892846943,      0.0728305272175521, 0.0339621111021423, 0.0231344192853984,      0.00467711079788176, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5344301759 
R squared (OOB):                  0.5333072 

$Forests[[172]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(344000, 326000, 350000,      303000, 320000, 350000, 272000, 330000, 325000, 297000, 303888,      298000, 375000, 318000, 316000, 305000, 3e+05, 279000, 370000,      355000), floor_area_sqm = c(114, 100, 104, 92, 84, 103, 89,      103, 91, 91, 93, 93, 92, 91, 92, 91, 96, 91, 93, 93), storey_order = c(2L,      2L, 3L, 1L, 1L, 4L, 2L, 2L, 4L, 3L, 2L, 1L, 4L, 1L, 3L, 4L,      4L, 2L, 5L, 3L), remaining_lease_mths = c(909, 915, 901,      794, 822, 768, 882, 773, 780, 788, 782, 777, 783, 765, 781,      791, 791, 801, 1106, 1111), PROX_CBD = c(17.7896312466061,      17.6260899808187, 17.7210097801066, 18.2139172788048, 17.6406634027014,      18.3186881593276, 17.8554664137964, 18.4499801912104, 18.1476771148045,      18.1476771148045, 18.5252470382495, 18.5252470382495, 18.1857629477019,      18.2234963781047, 18.2234963781047, 18.2610111258248, 18.5761736305699,      18.2989051402725, 18.8127816342995, 18.8127816342995), PROX_ELDERLYCARE = c(1.25681260125729,      1.35112026832555, 1.43994188754287, 0.649170232100017, 1.035266769267,      0.586525817031338, 0.800501761367975, 0.504778052376495,      0.519546459890619, 0.519546459890619, 0.449194476018676,      0.449194476018676, 0.47723779098819, 0.448333702611612, 0.448333702611612,      0.421521882373529, 0.0638277150498875, 0.397078044127006,      0.176499517448139, 0.176499517448139), PROX_HAWKER = c(0.881066744107593,      0.881717267283345, 1.08104793194974, 0.488031980714328, 0.425506106332545,      0.564283191409187, 0.203123967436651, 0.652207052169444,      0.209390724873544, 0.209390724873544, 0.69553534809229, 0.69553534809229,      0.380157991945912, 0.416527045274471, 0.416527045274471,      0.453171307776496, 0.562029876499453, 0.491047773869601,      0.325560722493799, 0.325560722493799), PROX_MRT = c(0.459633808793419,      0.583976034009999, 0.633809880192534, 0.192826481399443,      0.641227062746355, 0.220618943711049, 0.555370291384357,      0.322534237265928, 0.491311596778589, 0.491311596778589,      0.398456142880405, 0.398456142880405, 0.548087095608087,      0.545975779093886, 0.545975779093886, 0.547550551918807,      0.874368880716004, 0.552168886353884, 1.04083770509984, 1.04083770509984     ), PROX_PARK = c(1.08767920112524, 1.13048326604805, 1.21384923350496,      0.532358306258428, 0.74946287094318, 0.548488124002706, 0.515057634059466,      0.536975621309476, 0.270911567278729, 0.270911567278729,      0.491317901173298, 0.491317901173298, 0.261695126667213,      0.264257474455249, 0.264257474455249, 0.272660801967067,      0.287868908027907, 0.287159802467115, 0.51923222906617, 0.51923222906617     ), PROX_GOOD_PRISCH = c(9.06437119601063, 8.8937984610311,      9.06160802360773, 9.33501569353139, 8.7372089119322, 9.44179125712709,      8.91472106998272, 9.56762880935522, 9.18618174729203, 9.18618174729203,      9.63394268044443, 9.63394268044443, 9.10363750169146, 9.1355701416359,      9.1355701416359, 9.16752282736586, 9.51590189269927, 9.19982386356694,      9.7422556358987, 9.7422556358987), PROX_MALL = c(0.889615709496153,      0.88883938803957, 1.08939761229127, 0.498813518897969, 0.427942470585451,      0.574856358668165, 0.208298160410803, 0.662291407978718,      0.218975149940797, 0.218975149940797, 0.705200807731176,      0.705200807731176, 0.374195605351922, 0.411037179701155,      0.411037179701155, 0.448092738738542, 0.624506085881379,      0.486326630506135, 0.856774663098642, 0.856774663098642),          PROX_CHAS = c(0.198210651063146, 0.292626833079875, 0.398301228330107,          0.0363398547195702, 0.23100298607827, 0.141159289664064,          0.208298146952687, 0.201478871858691, 0.218975205360203,          0.218975205360203, 0.240425442805127, 0.240425442805127,          0.172021358032342, 0.132763801624598, 0.132763801624598,          0.0964740211655948, 0.0792988689034794, 0.0660681856594747,          0.2593611752042, 0.2593611752042), PROX_SUPERMARKET = c(0.347801992140281,          0.489184551662952, 0.510818921359131, 0.186956242757619,          0.231004283416662, 0.210011389308567, 0.19872598136169,          0.310351384739933, 0.206881250620068, 0.206881250620068,          0.386130046709882, 0.386130046709882, 0.38486207983901,          0.421116980529575, 0.421116980529575, 0.457654559995222,          0.625539331690589, 0.490326509583637, 0.856773769273042,          0.856773769273042), WITHIN_350M_KINDERGARTEN = c(3L,          3L, 3L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 3L,          1L, 5L, 6L, 4L, 5L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 2L, 2L,          2L, 2L, 1L, 1L), WITHIN_350M_BUS = c(7L, 6L, 5L, 9L,          8L, 10L, 10L, 9L, 7L, 7L, 8L, 8L, 4L, 6L, 6L, 6L, 10L,          6L, 16L, 16L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L,          3L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 4L, 4L, 4L, 4L, 2L, 4L,          1L, 1L), DNeighbour = c(0, 169.903023867392, 203.281336558132,          611.332955318947, 611.631534378904, 676.580451233811,          692.996878833871, 783.802228082345, 813.529428847339,          816.627637570058, 854.859094458788, 857.767840433831,          1242.82899280048, 1272.65497511586, 1273.61150798052,          1306.27847162416, 1319.07660621347, 1335.90150248806,          1482.32981888702, 1484.42782238002)), row.names = c("172",      "612", "825", "481", "730", "367", "467", "810", "944", "827",      "106", "11", "733", "47", "202", "905", "78", "433", "637",      "418"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.973970850904358,      0.962845158926268, 0.689556638484653, 0.689281452282948,      0.627675458826098, 0.611612004313826, 0.520127544880632,      0.489509417900227, 0.486307423855115, 0.446701011825836,      0.443684161748255, 0.0894139705572767, 0.0702107845255671,      0.0696262492447209, 0.0509049961569794, 0.044256894608435,      0.0361385018380979, 7.97884834467925e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       843900370 
R squared (OOB):                  -0.0404623 

$Forests[[173]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(323000, 325000, 336000,      345000, 335000, 390000, 420000, 345000, 420000, 380000, 295000,      325000, 310000, 340000, 370000, 370000, 350000, 320000, 345000,      380000), floor_area_sqm = c(104, 90, 104, 102, 101, 126,      92, 104, 93, 93, 105, 104, 104, 101, 93, 103, 104, 106, 103,      93), storey_order = c(3L, 4L, 4L, 2L, 2L, 2L, 6L, 4L, 3L,      1L, 1L, 1L, 1L, 5L, 1L, 4L, 2L, 1L, 5L, 1L), remaining_lease_mths = c(956,      912, 958, 935, 933, 879, 1104, 862, 1139, 1138, 870, 872,      879, 943, 1139, 881, 863, 851, 944, 1142), PROX_CBD = c(16.3822081442679,      16.3759795802925, 16.2237683329895, 16.0814208174046, 16.135389698045,      16.1769042321823, 16.0058570800758, 16.2035530975804, 15.9652529785268,      15.9652529785268, 16.027241877126, 15.9652370890998, 15.9652370890998,      15.9284058495794, 15.8422849591204, 15.9139497277605, 15.9139497277605,      15.9983120826665, 15.6615925135045, 15.6174435761395), PROX_ELDERLYCARE = c(0.317064501792404,      0.437652472603004, 0.233700982090528, 0.129424766752979,      0.214357316635524, 0.382017171357745, 0.0922651494707867,      0.462412199513001, 0.120425003900544, 0.120425003900544,      0.401697186037664, 0.372962984236141, 0.372962984236141,      0.260351961534281, 0.241353796602158, 0.471057675436291,      0.471057675436291, 0.541237256511776, 0.372854461013726,      0.457575537702088), PROX_HAWKER = c(2.76474077583521, 2.71828200917597,      2.48966457045008, 2.40830007300065, 2.40272097648418, 2.55739022352562,      2.393526972262, 2.51024920878341, 2.36922200206298, 2.36922200206298,      2.44772974464855, 2.45115541279444, 2.45115541279444, 2.2342618496891,      2.37354129025836, 2.34701070601947, 2.34701070601947, 2.1818192257633,      2.39243139523594, 2.21004723991438), PROX_MRT = c(1.02897813643603,      0.870089952652958, 1.11461848888664, 1.00126993569874, 1.09323648573999,      0.674610535324426, 0.910164710677637, 0.65447898159524, 0.886101680623091,      0.886101680623091, 0.538616250543522, 0.52727924180445, 0.52727924180445,      1.02417718077332, 0.721786411333246, 0.424613907535265, 0.424613907535265,      0.364450998520493, 0.499275570100955, 0.70935210619912),          PROX_PARK = c(1.73717122008599, 1.49155883505512, 1.86547668850022,          1.7154732425778, 1.7942088991982, 1.39748820590438, 1.6216647961598,          1.32632916723033, 1.58077599563476, 1.58077599563476,          1.35146177086674, 1.39203600576681, 1.39203600576681,          1.61207436869795, 1.42084473696832, 1.30337713627377,          1.30337713627377, 1.05372411430502, 1.19384102986047,          1.21748666352844), PROX_GOOD_PRISCH = c(6.39421933734494,          6.4246273009838, 6.20687623278084, 6.0710937852797, 6.11593822040069,          6.23706483495109, 6.00411547246196, 6.27623366830878,          5.96493131981452, 5.96493131981452, 6.09534233388474,          6.02718330754398, 6.02718330754398, 5.90870946924896,          5.8611108446886, 5.99275530970335, 5.99275530970335,          6.12314921566155, 5.71328270316738, 5.63578467655705),          PROX_MALL = c(0.374078152135628, 0.409369768138594, 0.36788016328609,          0.261655001598387, 0.350342319635, 0.292722816398213,          0.187934498474296, 0.370949542105629, 0.18546430077947,          0.18546430077947, 0.275346491924215, 0.238316612740974,          0.238316612740974, 0.350369242497661, 0.177442774283774,          0.338688619983659, 0.338688619983659, 0.45623102577182,          0.238209845871265, 0.401390812484646), PROX_CHAS = c(0.374078140160073,          0.409369730284335, 0.367880188789974, 0.26165503944411,          0.350342354631045, 0.292722768811081, 0.187934543511456,          0.370949494121523, 0.185464348558652, 0.185464348558652,          0.275346446899555, 0.238316573509266, 0.238316573509266,          0.35036929019185, 0.177442804982894, 0.338688583692834,          0.338688583692834, 0.290215734280461, 0.238209795937414,          0.187858028295528), PROX_SUPERMARKET = c(0.357574924056941,          0.389543937857684, 0.364697803989784, 0.265481412722203,          0.352223797136593, 0.254565333705719, 0.197516435852273,          0.235998227482853, 0.198556813498254, 0.198556813498254,          0.141316208924405, 0.177610526119132, 0.177610526119132,          0.363015443397577, 0.197153631350279, 0.112474666082431,          0.112474666082431, 0.162067612034701, 0.238833101010687,          0.412009517866082), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 0L, 0L, 0L, 5L, 1L, 3L, 1L, 1L, 3L, 3L, 3L, 0L, 2L,          3L, 3L, 1L, 3L, 3L), WITHIN_350M_CHILDCARE = c(1L, 2L,          2L, 5L, 2L, 8L, 5L, 5L, 5L, 5L, 8L, 6L, 6L, 3L, 7L, 9L,          9L, 6L, 5L, 3L), WITHIN_350M_BUS = c(9L, 5L, 9L, 13L,          9L, 9L, 14L, 7L, 15L, 15L, 12L, 14L, 14L, 10L, 15L, 15L,          15L, 12L, 16L, 15L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L,          2L, 2L, 3L, 2L, 3L, 2L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L,          3L, 3L, 3L), DNeighbour = c(0, 251.020848735938, 290.251137465311,          362.304583161342, 366.096891236383, 371.169030067126,          396.728923608135, 417.413775615737, 436.869053812643,          437.492788208066, 488.114238368847, 511.217624529878,          511.396598048311, 539.416810508325, 541.134775415171,          605.278552472146, 608.028247820762, 740.070685858817,          745.976889262642, 764.300492695754)), row.names = c("173",      "974", "394", "890", "88", "54", "154", "806", "137", "913",      "463", "566", "490", "705", "585", "927", "959", "888", "572",      "766"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.795900089634738,      0.73236276722419, 0.601077009438762, 0.593767054010695, 0.5839423989065,      0.533720289500303, 0.492429135609836, 0.453307412617369,      0.452051128683702, 0.350625821774683, 0.305381131799836,      0.305034953141513, 0.251898852083341, 0.248719068828702,      0.139005422770728, 0.134779382175276, 0.00389361812085276,      0.00224428830673327, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       724139798 
R squared (OOB):                  0.376624 

$Forests[[174]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(323000, 305000, 310500,      319000, 305000, 335000, 320000, 310000, 325000, 280000, 432000,      410000, 420000, 415000, 333000, 365000, 388000, 313000, 328000,      323000), floor_area_sqm = c(101, 99, 92, 101, 91, 100, 101,      89, 91, 90, 92, 92, 92, 92, 99, 92, 92, 99, 92, 91), storey_order = c(1L,      4L, 4L, 4L, 4L, 4L, 2L, 1L, 2L, 3L, 4L, 2L, 1L, 2L, 3L, 1L,      1L, 4L, 3L, 2L), remaining_lease_mths = c(937, 930, 932,      950, 932, 927, 931, 946, 970, 958, 1123, 1136, 1121, 1125,      927, 1135, 1134, 918, 923, 974), PROX_CBD = c(17.4093430047218,      17.5508688704121, 17.1621565450396, 17.1356331652512, 17.1300558853523,      17.5934100264964, 17.1235753252943, 17.0860498579873, 17.7083177660008,      17.0860498579873, 17.7152334804069, 17.7152334804069, 17.7152334804069,      17.7609329148819, 17.6933534103443, 17.8160591469996, 17.8160591469996,      17.8728040148932, 17.049182232397, 16.9744532057656), PROX_ELDERLYCARE = c(0.347622879353981,      0.169110695114153, 0.588822776266157, 0.585213362825854,      0.650159488421832, 0.183364759720919, 0.697818713768909,      0.634635376150565, 0.378187975507624, 0.634635376150565,      0.0982899037000713, 0.0982899037000713, 0.0982899037000713,      0.0656405943898966, 0.174626049595048, 0.101440000613482,      0.101440000613482, 0.330981516384048, 0.850080656271298,      0.669866762803474), PROX_HAWKER = c(0.646263997619536, 0.736171211400498,      0.776103543372746, 0.905166107754752, 0.747949107581356,      0.860123145519879, 0.705945006380572, 0.984075399620173,      0.340346390827249, 0.984075399620173, 0.815736811633103,      0.815736811633103, 0.815736811633103, 0.769612072642938,      0.89059259132002, 0.755409785256781, 0.755409785256781, 0.446535534086157,      0.714958983882519, 1.16076193719705), PROX_MRT = c(0.722831181419355,      0.804998329325227, 0.827901946736494, 0.689848925621533,      0.826263947198081, 0.675234243169572, 0.782769723074986,      0.610921595420819, 0.403335562748004, 0.610921595420819,      0.674833365376197, 0.674833365376197, 0.674833365376197,      0.714624513867521, 0.606842528225389, 0.729659889526201,      0.729659889526201, 0.4868918768976, 0.785333186388227, 0.434229027914827     ), PROX_PARK = c(1.92330050908574, 1.71737354643835, 2.12305734030611,      2.00545012030434, 2.21165427538899, 1.60355051242194, 2.27471658155514,      1.98249707589613, 1.86766019581863, 1.98249707589613, 1.52614967260321,      1.52614967260321, 1.52614967260321, 1.52091098886828, 1.49905344652453,      1.49250729308795, 1.49250729308795, 1.69875568186822, 2.39009267562017,      1.94357933186421), PROX_GOOD_PRISCH = c(8.00696366683488,      8.17476856172454, 7.75790588282746, 7.76178719780886, 7.71077701272798,      8.24279341902993, 7.68854504458572, 7.72567604662297, 8.26299778187914,      7.72567604662297, 8.35538963357137, 8.35538963357137, 8.35538963357137,      8.39120163011403, 8.34857469941546, 8.44175881664207, 8.44175881664207,      8.43952013253886, 7.5878538843241, 7.64555391975429), PROX_MALL = c(0.265229996889848,      0.109574351562212, 0.509108711773916, 0.382407895591973,      0.568151229694078, 0.188384425612312, 0.614584601713128,      0.314944256820634, 0.335143296665789, 0.314944256820634,      0.158599011552442, 0.158599011552442, 0.158599011552442,      0.147411017927622, 0.223321337745784, 0.183177100903513,      0.183177100903513, 0.330972758922268, 0.718658142186859,      0.199292924769147), PROX_CHAS = c(0.23105278557526, 0.048268048492383,      0.242301342816858, 0.257714074421561, 0.159798231789153,      0.151781240761386, 0.076148424020495, 0.250499161266826,      0.30242004444134, 0.250499161266826, 0.158598978424062, 0.158598978424062,      0.158598978424062, 0.14741100268466, 0.21485891447712, 0.183177099178452,      0.183177099178452, 0.330972805611547, 0.13498084818294, 0.199292963025488     ), PROX_SUPERMARKET = c(0.313773352526138, 0.15801430638391,      0.263452146302603, 0.257714572429151, 0.260386915772359,      0.209139790637019, 0.307215454393191, 0.250499698074938,      0.332189289926598, 0.250499698074938, 0.144345834884574,      0.144345834884574, 0.144345834884574, 0.113022549454425,      0.218378438252518, 0.137568853383185, 0.137568853383185,      0.300218301814749, 0.397684558683682, 0.25551504160041),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 1L, 0L, 1L,          0L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(7L, 7L, 5L, 5L, 5L, 6L,          5L, 6L, 6L, 6L, 6L, 6L, 6L, 8L, 5L, 8L, 8L, 4L, 12L,          6L), WITHIN_350M_BUS = c(13L, 12L, 11L, 11L, 13L, 12L,          11L, 11L, 7L, 11L, 12L, 12L, 12L, 10L, 13L, 15L, 15L,          8L, 8L, 13L), WITHIN_1KM_PRISCH = c(5L, 6L, 4L, 4L, 4L,          8L, 4L, 4L, 5L, 4L, 7L, 7L, 7L, 6L, 8L, 6L, 6L, 7L, 2L,          4L), DNeighbour = c(0, 216.142934570208, 247.845721472788,          295.390169241141, 297.827186328004, 346.718260715521,          348.670069043475, 369.666758111748, 370.435269294713,          374.904675963377, 398.384598279504, 401.696512623101,          402.028787222296, 413.916387056544, 433.303268591623,          445.120546879263, 451.231427141812, 481.782795849387,          506.189101870073, 538.201157084026)), row.names = c("174",      "438", "190", "99", "170", "419", "871", "685", "544", "704",      "298", "13", "289", "365", "112", "402", "53", "992", "520",      "902"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.703443564893735,      0.62083802362803, 0.488275054640639, 0.481324944608808, 0.342207022364918,      0.336746842744651, 0.279025529391415, 0.276954927820315,      0.264982612890773, 0.204377840496775, 0.196190282941474,      0.195374392129126, 0.166893127445456, 0.123778310581212,      0.099846118183574, 0.0882531370181726, 0.03946836213227,      0.0133221472949546, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       551561953 
R squared (OOB):                  0.7281694 

$Forests[[175]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 403500, 548888,      580000, 520000, 382000, 580000, 575000, 565000, 540000, 390000,      495000, 510000, 425000, 426888, 430000, 376000, 475000, 460000,      540000), floor_area_sqm = c(90, 90, 92, 92, 92, 86, 92, 92,      92, 93, 90, 93, 93, 92, 92, 92, 102, 90, 92, 90), storey_order = c(4L,      5L, 2L, 4L, 1L, 2L, 4L, 4L, 3L, 4L, 5L, 3L, 3L, 4L, 1L, 1L,      5L, 5L, 5L, 3L), remaining_lease_mths = c(973, 965, 1130,      1134, 1138, 989, 1140, 1137, 1127, 1075, 978, 1076, 1076,      988, 1141, 1134, 944, 1031, 1136, 1067), PROX_CBD = c(11.9491294576901,      12.0682850666201, 11.7494815193957, 11.7494815193957, 11.6952918230505,      12.3082954752684, 11.6525204845234, 11.6525204845234, 11.6525204845234,      11.8019303594103, 12.4059518996545, 11.7824349405223, 11.734228152501,      12.1902934701837, 12.5841594105866, 12.5852639843962, 11.9885535057438,      11.780035597066, 12.5778468618744, 11.5237533038112), PROX_ELDERLYCARE = c(0.351349913726565,      0.36227142211874, 0.0736890817471424, 0.0736890817471424,      0.0818897866131208, 0.583230122785789, 0.090696724945174,      0.090696724945174, 0.090696724945174, 0.184707688528033,      0.404564014080405, 0.213047345375207, 0.217445500321488,      0.362754738306624, 0.419823195233641, 0.3637938018331, 0.468647269590137,      0.389019901488026, 0.25879478544564, 0.374021376468387),          PROX_HAWKER = c(0.693645859237657, 0.732401821736703,          0.418792449609449, 0.418792449609449, 0.374319678668878,          0.732610931237137, 0.325622570567264, 0.325622570567264,          0.325622570567264, 0.425288384889406, 0.551023632791116,          0.411134055372247, 0.366555491930585, 0.536726116414185,          0.512822421809829, 0.45815519033126, 0.661637750611862,          0.475091880549249, 0.361759384229333, 0.235307086042243         ), PROX_MRT = c(0.207404211118571, 0.353072027979069,          0.183595482094196, 0.183595482094196, 0.18359152527436,          0.348338435446781, 0.219824289848129, 0.219824289848129,          0.219824289848129, 0.341923672362566, 0.467412150427879,          0.323171872402698, 0.276453864170284, 0.364194860258715,          0.285300897266269, 0.305105021876954, 0.253577460439113,          0.149757666469573, 0.325317058740364, 0.148196296616071         ), PROX_PARK = c(1.42337349535551, 1.2554933111164, 1.25382465781663,          1.25382465781663, 1.23082333360032, 1.248380402738, 1.18955170998222,          1.18955170998222, 1.18955170998222, 1.09015045463689,          1.06942514246801, 1.04913519120928, 1.00928973198994,          0.883674706708426, 1.05356492524152, 0.998305920751222,          0.965214735166117, 0.915827670442916, 0.898636927133822,          0.808531626238996), PROX_GOOD_PRISCH = c(2.48771655129493,          2.66094910730305, 2.40225451049103, 2.40225451049103,          2.35260315569007, 2.82059786507503, 2.3279627535371,          2.3279627535371, 2.3279627535371, 2.57167610218627, 2.85954585658161,          2.5757070458522, 2.54247396470066, 2.54749739008747,          3.04090040576321, 3.02473222579279, 2.84793008582659,          2.67648686403773, 2.98751376551561, 2.43173748992112),          PROX_MALL = c(0.591401580344059, 0.424043071559413, 0.730910693989521,          0.730910693989521, 0.785373664552542, 0.312386349772529,          0.807719243520252, 0.807719243520252, 0.807719243520252,          0.70263709534569, 0.423524868376446, 0.732391369928616,          0.781937846313192, 0.835543217968543, 0.39575302739997,          0.450387082903272, 0.581599658792334, 0.657761426948524,          0.550769417999913, 0.840908486660855), PROX_CHAS = c(0.136369833447508,          0.0850792531740411, 0.105514964386053, 0.105514964386053,          0.141926234339659, 0.200650927390068, 0.162428164506486,          0.162428164506486, 0.162428164506486, 0.144895120017984,          0.187639553192951, 0.182294192745256, 0.203102352137365,          0.167384851183216, 0.369996201265779, 0.324614821605945,          0.0548782345589675, 0.165734916528407, 0.236995708134403,          0.0822817354855642), PROX_SUPERMARKET = c(0.234851160706955,          0.0850782630125017, 0.100761764224213, 0.100761764224213,          0.137537075296593, 0.200651971059786, 0.158766807317564,          0.158766807317564, 0.158766807317564, 0.149354766345577,          0.375814638453933, 0.186528474083994, 0.206717744357565,          0.552359009160243, 0.385003628727568, 0.389269910824952,          0.41771106664497, 0.328761363845442, 0.299832635957983,          0.113409172087645), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L,          1L, 0L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(6L, 5L,          5L, 5L, 4L, 4L, 4L, 4L, 4L, 7L, 4L, 8L, 8L, 3L, 4L, 4L,          6L, 9L, 5L, 4L), WITHIN_350M_BUS = c(12L, 12L, 14L, 14L,          13L, 8L, 11L, 11L, 11L, 13L, 10L, 11L, 10L, 12L, 10L,          11L, 14L, 8L, 8L, 5L), WITHIN_1KM_PRISCH = c(7L, 7L,          6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 5L, 7L, 5L, 3L, 5L, 4L,          7L, 6L, 4L, 4L), DNeighbour = c(0, 190.586750940875,          275.406239215705, 279.82612853484, 321.631898408877,          361.130942637211, 361.911726386827, 362.181446197037,          363.696746642324, 467.379623278193, 478.353560555335,          508.045469558554, 534.306226721178, 566.442910635834,          643.774613395339, 652.748344400878, 667.931616858794,          680.920285620385, 681.196130735183, 724.298407904665)), row.names = c("175",      "860", "808", "281", "917", "231", "792", "580", "557", "342",      "138", "260", "409", "783", "868", "180", "486", "263", "355",      "652"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.866316168270636,      0.731740945519025, 0.723759699915991, 0.644505149934899,      0.564607794478015, 0.562991755003371, 0.56243322630005, 0.559292823079279,      0.340595936058794, 0.31789614929349, 0.258058242733263, 0.207768635826836,      0.150843890293674, 0.0440957667544452, 0.0352733977362432,      0.0223768263222641, 0.0135007909392462, 0.0133348653015426,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       985226878 
R squared (OOB):                  0.8201163 

$Forests[[176]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(560000, 620000, 515000,      660000, 409500, 488000, 418000, 385000, 465000, 451000, 520000,      538000, 290000, 678000, 446000, 480000, 450000, 590000, 445000,      545000), floor_area_sqm = c(105, 103, 84, 105, 84, 104, 84,      93, 91, 83, 107, 90, 87, 92, 94, 94, 104, 90, 84, 101), storey_order = c(2L,      4L, 4L, 6L, 3L, 1L, 3L, 1L, 2L, 8L, 2L, 5L, 1L, 3L, 2L, 6L,      1L, 2L, 3L, 1L), remaining_lease_mths = c(913, 742, 804,      748, 807, 776, 804, 772, 764, 604, 892, 995, 643, 1103, 723,      725, 828, 996, 647, 938), PROX_CBD = c(3.91005014077452,      3.79744534670369, 3.75781957676323, 3.5952466633456, 4.20973993763024,      4.16405648472164, 4.20973993763024, 4.25035751849909, 4.28329341592686,      3.63056019358172, 4.23142849537126, 4.4759193492502, 4.35364804731157,      3.93031212371417, 4.45295385586978, 4.50933618399607, 5.12061996426338,      2.69989267302812, 4.82546817648507, 3.59494173601466), PROX_ELDERLYCARE = c(0.449207181019876,      0.296175206272889, 0.582389211118023, 0.354500614782039,      0.156291063754703, 0.434539750657667, 0.156291063754703,      0.411587417191489, 0.4193003334471, 0.124703716495981, 0.272010492111063,      0.136621520737764, 0.402111762367986, 0.159701117649001,      0.645271528549996, 0.665866395733666, 0.279354008399566,      0.352346052518342, 0.401252043911139, 0.692364880740494),          PROX_HAWKER = c(0.464701711390969, 0.300770398866256,          0.393163811818296, 0.311385334077859, 0.46881842734995,          0.502732414569621, 0.46881842734995, 0.610932712322496,          0.638679046714181, 0.0619655343942362, 0.392124905911543,          0.736355433757935, 0.52502919100195, 0.374782156946409,          0.601904675681234, 0.665007751295857, 0.158729667464322,          0.468835135082758, 0.33634581375869, 0.142789347249218         ), PROX_MRT = c(0.361698258812245, 0.195276091150508,          0.434583879195091, 0.16267041353008, 0.750034220630686,          0.518003091395578, 0.750034220630686, 0.605174310138743,          0.637237645879563, 0.188513622979597, 0.870814763860364,          0.930431293452388, 0.698417082344063, 0.57487373386568,          0.66128766903618, 0.549595780709265, 1.12797954219589,          0.230131940688868, 0.437510974512092, 0.346622733589529         ), PROX_PARK = c(0.651892034671684, 0.620239922284967,          0.885911587583127, 0.796125682214674, 0.828179073128827,          0.269719137898212, 0.828179073128827, 0.346786980248178,          0.336599362476296, 0.634729277660292, 0.989030190878471,          0.786607284590569, 0.0959047492621704, 0.43227753152338,          0.473457593144303, 0.353281501558379, 1.12857946410316,          0.41386436288237, 0.386749503328341, 1.03638785093261         ), PROX_GOOD_PRISCH = c(3.96984616110429, 4.13618512399158,          3.98479480133756, 4.26949140427292, 3.58178441884724,          3.99853475328204, 3.58178441884724, 3.87277035706644,          3.85984302070176, 4.47678155678584, 3.47561641519302,          3.43096694593549, 4.11088283479722, 4.55218800106713,          3.02211493728223, 2.94429219434277, 2.70116277997296,          4.75214496578899, 2.65585299610189, 4.68517728936996),          PROX_MALL = c(1.2652175398851, 1.16769889708728, 1.1081035152608,          0.962766222186716, 1.26743973989934, 1.00998414702412,          1.26743973989934, 0.955673327573223, 0.92062293894618,          0.917363569028491, 1.1888213641646, 1.02435160052226,          0.801857467962545, 1.09934779211931, 0.570379319619026,          0.485349818185599, 1.02774547618649, 0.380876218870723,          0.337875853585261, 0.814872047472938), PROX_CHAS = c(0.108899254787234,          0.121619853002556, 0.345906079563203, 0.0963682910788478,          0.163154212627783, 0.147909276913635, 0.163154212627783,          0.260827480873255, 0.285886541141976, 0.112941217538546,          0.106822211501606, 0.105578702221058, 0.130252709580884,          0.304936065418075, 0.303272176186244, 0.331046161101227,          0.193072984237221, 0.202908600866322, 0.315432137833306,          0.0573592222158038), PROX_SUPERMARKET = c(0.115229795891962,          0.191561540751545, 0.128350069204848, 0.269187390315468,          0.118448079318654, 0.506391752127701, 0.118448079318654,          0.512280309006142, 0.506434284786685, 0.0867224629960944,          0.139079920157556, 0.0670716613901785, 0.591301773724787,          0.35411008396507, 0.34627255092781, 0.325943517329761,          0.198191070641627, 0.44532403657541, 0.0907256678718214,          0.0573596645426592), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 2L, 0L, 1L, 1L, 0L,          0L, 1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 3L, 6L, 3L, 5L, 4L, 5L, 6L, 2L, 4L, 3L, 1L, 1L,          4L, 2L, 2L, 3L), WITHIN_350M_BUS = c(5L, 5L, 3L, 6L,          7L, 5L, 7L, 5L, 5L, 4L, 7L, 5L, 6L, 5L, 6L, 5L, 9L, 4L,          8L, 4L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L, 3L,          3L, 3L, 3L, 2L, 2L, 3L, 2L, 1L, 1L, 0L, 3L, 2L, 2L, 0L         ), DNeighbour = c(0, 157.49842226421, 243.077756830116,          323.068799450756, 390.964331613094, 392.000302499424,          392.419895710406, 400.807535938967, 440.633840893444,          514.241387888329, 526.175826367182, 589.534520632905,          725.129685413018, 791.92825425074, 1167.1284967141, 1288.61535747043,          1316.81729059779, 1420.10096918465, 1431.01085634477,          1432.86759625337)), row.names = c("176", "952", "234",      "699", "382", "223", "907", "19", "747", "237", "849", "411",      "532", "801", "346", "622", "646", "796", "288", "997"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.97598189441288, 0.943269893867216, 0.900910845244695, 0.856643611498787,      0.85591244722971, 0.855615846554406, 0.849631270547351, 0.819807355379101,      0.758986304033634, 0.748485215550391, 0.690095259836419,      0.553378727688879, 0.482380725654007, 0.113248396966169,      0.0365621827842066, 0.0241565097248745, 0.000314718354558832,      6.70790746089037e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6819612044 
R squared (OOB):                  0.2476337 

$Forests[[177]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 305000, 339000,      313000, 350000, 338000, 320000, 325000, 345000, 364000, 365000,      388000, 415000, 345000, 288000, 312000, 320000, 330000, 295000,      432000), floor_area_sqm = c(102, 99, 102, 99, 102, 102, 101,      91, 102, 100, 92, 92, 92, 102, 84, 101, 84, 102, 101, 92),          storey_order = c(2L, 1L, 3L, 4L, 4L, 4L, 1L, 2L, 4L,          2L, 1L, 1L, 2L, 2L, 3L, 2L, 4L, 1L, 1L, 4L), remaining_lease_mths = c(913,          921, 923, 918, 923, 922, 924, 970, 926, 921, 1135, 1134,          1125, 927, 893, 933, 885, 911, 917, 1123), PROX_CBD = c(17.9994058772431,          17.9733391318796, 17.9456645257603, 17.8728040148932,          18.0569924715364, 18.1611534549189, 18.0902268845521,          17.7083177660008, 18.236688278315, 17.9386403893839,          17.8160591469996, 17.8160591469996, 17.7609329148819,          18.2868848905217, 18.3632948597919, 18.4625985868209,          18.3433564216417, 18.2320763538069, 18.4986491838169,          17.7152334804069), PROX_ELDERLYCARE = c(0.430537495183344,          0.376016337241346, 0.476454782767532, 0.330981516384048,          0.59750504274373, 0.519233937445895, 0.706169610995159,          0.378187975507624, 0.732088251039709, 0.714833653499633,          0.101440000613482, 0.101440000613482, 0.0656405943898966,          0.896456720381782, 0.645296274244347, 0.765079897684544,          0.623669944895056, 0.927534095024191, 0.86418951980865,          0.0982899037000713), PROX_HAWKER = c(0.472244893923117,          0.501520555884575, 0.3648710200987, 0.446535534086157,          0.391180253405874, 0.617364695979906, 0.370412154176866,          0.340346390827249, 0.537987121264097, 0.201936965562497,          0.755409785256781, 0.755409785256781, 0.769612072642938,          0.547085889030319, 0.921741667576702, 0.906262708365532,          0.960648791795978, 0.493410913505403, 0.838043969781633,          0.815736811633103), PROX_MRT = c(0.492638498779759, 0.52882455357406,          0.385567417899789, 0.4868918768976, 0.384524332485438,          0.623413162025338, 0.341202563029131, 0.403335562748004,          0.511061821383635, 0.168914117564514, 0.729659889526201,          0.729659889526201, 0.714624513867521, 0.495991449430539,          0.927224403125457, 0.897303014326537, 0.899458799363821,          0.433316978327494, 0.812751343363136, 0.674833365376197         ), PROX_PARK = c(1.65421298847909, 1.62685700377268,          1.76180373116006, 1.69875568186822, 1.77011013021076,          1.52418818882418, 1.8531048262974, 1.86766019581863,          1.7164330470264, 1.99379565561889, 1.49250729308795,          1.49250729308795, 1.52091098886828, 1.86697967968657,          1.22890358268929, 1.31620863428189, 1.17596756648915,          1.96114614265628, 1.49181484955502, 1.52614967260321),          PROX_GOOD_PRISCH = c(8.5589292690065, 8.54142359534323,          8.49089982759618, 8.43952013253886, 8.58956131155308,          8.72758527833631, 8.60631027953587, 8.26299778187914,          8.76378557853615, 8.4444135457925, 8.44175881664207,          8.44175881664207, 8.39120163011403, 8.78822500750919,          8.96505409295358, 9.04019528068803, 8.95760590087653,          8.72297519828522, 9.04519470993137, 8.35538963357137),          PROX_MALL = c(0.446560923090423, 0.395841490391381, 0.428159644756295,          0.330972758922268, 0.407254736414821, 0.475604736810637,          0.342860958869265, 0.335143296665789, 0.240339889961931,          0.238372860218233, 0.183177100903513, 0.183177100903513,          0.147411017927622, 0.1450338527091, 0.282416841692855,          0.414588198127445, 0.22079632378696, 0.22704735136933,          0.305101649121832, 0.158599011552442), PROX_CHAS = c(0.324811070171065,          0.364030465322827, 0.218909691095897, 0.330972805611547,          0.222103720735081, 0.405258493214775, 0.209799590563819,          0.30242004444134, 0.184864523484869, 0.076984763134016,          0.183177099178452, 0.183177099178452, 0.14741100268466,          0.0217240252323136, 0.231219576578415, 0.399223798550346,          0.167893491583302, 0.11607611654581, 0.305101651313883,          0.158598978424062), PROX_SUPERMARKET = c(0.408691343873882,          0.356071330024396, 0.365864675212809, 0.300218301814749,          0.385535197909366, 0.475604214408431, 0.342860053820009,          0.332189289926598, 0.240339157209448, 0.171190500184261,          0.137568853383185, 0.137568853383185, 0.113022549454425,          0.145032957963293, 0.282416494634945, 0.414588227521533,          0.220795796105544, 0.227046556279957, 0.305101855713295,          0.144345834884574), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L,          1L, 1L, 2L, 1L, 2L), WITHIN_350M_CHILDCARE = c(4L, 3L,          3L, 4L, 4L, 5L, 6L, 6L, 6L, 6L, 8L, 8L, 8L, 7L, 8L, 6L,          8L, 5L, 6L, 6L), WITHIN_350M_BUS = c(9L, 11L, 8L, 8L,          9L, 10L, 7L, 7L, 7L, 8L, 15L, 15L, 10L, 9L, 8L, 8L, 8L,          10L, 9L, 12L), WITHIN_1KM_PRISCH = c(7L, 7L, 6L, 7L,          6L, 6L, 5L, 5L, 6L, 5L, 6L, 6L, 6L, 4L, 4L, 5L, 4L, 4L,          4L, 7L), DNeighbour = c(0, 53.8927961545032, 108.104777103706,          131.294744353893, 170.281201098045, 174.942438058157,          290.415090956273, 295.932395583348, 305.316111243527,          356.265203524598, 406.279047522434, 410.712225549972,          448.313595027978, 460.862819892283, 467.386121983763,          489.52629012389, 495.787483495183, 498.703188073626,          498.934251145666, 510.893488357816)), row.names = c("177",      "179", "20", "992", "491", "330", "74", "544", "227", "638",      "402", "53", "365", "787", "864", "729", "953", "443", "684",      "298"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.977868664358722,      0.912456092294809, 0.872273645090741, 0.790162030305517,      0.77923957220995, 0.458152649702107, 0.441527641882996, 0.413268751867772,      0.263908617056496, 0.135133769023757, 0.125124354901721,      0.0528899214451005, 0.0346949190724083, 0.0265907216745417,      0.00670715321595422, 0.00339438805333951, 0.00222332608026903,      0.00214081965671994, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1182367755 
R squared (OOB):                  0.1668896 

$Forests[[178]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(548000, 550000, 429000,      435000, 450000, 422800, 360000, 4e+05, 390000, 447000, 423800,      415000, 478000, 438000, 430000, 390000, 376888, 390000, 420000,      412000), floor_area_sqm = c(93, 93, 104, 103, 105, 104, 84,      91, 102, 107, 104, 104, 104, 104, 104, 103, 104, 104, 104,      103), storey_order = c(4L, 3L, 2L, 4L, 2L, 4L, 2L, 1L, 2L,      3L, 2L, 2L, 5L, 2L, 2L, 1L, 3L, 1L, 2L, 4L), remaining_lease_mths = c(1135,      1137, 822, 819, 757, 813, 762, 783, 763, 782, 756, 760, 770,      812, 819, 773, 810, 809, 922, 918), PROX_CBD = c(11.1809634086998,      11.2116042179965, 11.1191912667925, 11.381621166991, 11.4573592114175,      11.1672746170477, 11.4815172953657, 11.4963900230166, 11.6387779682198,      11.7840832214562, 11.7174653186763, 11.6914583773846, 11.927322045494,      11.7215458353159, 11.547248638023, 11.9179556382635, 11.622690560426,      11.7882471009294, 11.8892341343185, 11.9871965659798), PROX_ELDERLYCARE = c(0.333450295290741,      0.369355324070756, 0.213121327483379, 0.382123855460196,      0.52883250894194, 0.14075304944647, 0.182032582488253, 0.672630859926948,      0.792216801753581, 0.481333190444255, 0.74375074589335, 0.736997311630605,      0.77464979732367, 0.240093333498969, 0.246353759583753, 0.757050983431463,      0.175524774720266, 0.114277277444971, 0.110349805405523,      0.210296865683283), PROX_HAWKER = c(1.04207495818587, 1.02311573056961,      1.08329799955244, 0.863892291353285, 0.848364442784946, 1.04840790050398,      0.728271246274353, 0.804785607263954, 0.61454926069889, 0.436117874461739,      0.5637831570093, 0.558671781535233, 0.445987433628815, 0.609281739536534,      0.837769476188058, 0.581821713307667, 0.783966268147895,      0.647051853283446, 0.684056106771311, 0.625285574708341),          PROX_MRT = c(0.580267989687754, 0.524888394814585, 0.776456939054752,          0.424871345706255, 0.275269590424193, 0.893429463565323,          0.756359380624344, 0.132306565433056, 0.0844107562606101,          0.81394482428473, 0.162940637784707, 0.140110279979828,          0.493642118682657, 0.989064774064853, 1.16228231940478,          0.401552834915971, 1.15515804744233, 1.00317447086964,          1.00424261648768, 0.923336133969517), PROX_PARK = c(1.13378306757762,          1.15338615463339, 1.13833451608328, 1.31830174708739,          1.3775538710324, 1.25063890429238, 1.50398184725757,          1.41209410927924, 1.51709061898346, 1.20101103678102,          1.5229705853841, 1.50772581466401, 1.17760662255222,          1.28416187507733, 1.4881280763212, 1.26489639581012,          1.41684131410086, 1.24877122811849, 1.19263079577799,          1.09395352284574), PROX_GOOD_PRISCH = c(0.485317217067727,          0.456074275886943, 0.586469336292635, 0.288839241027683,          0.277148461253506, 0.623353133039123, 0.365254403810308,          0.364349890680966, 0.453346371612442, 0.357669915539773,          0.440184840714675, 0.476923220580037, 0.289303568244907,          0.585140695782779, 0.735233663606362, 0.374797987706521,          0.733057242670121, 0.713901761199557, 0.842915880539328,          0.855677549512306), PROX_MALL = c(1.03968747299659, 1.01522535242687,          1.10160019948421, 0.849953313581112, 0.815329638117364,          1.08293003315278, 0.763531318053358, 0.844787863205902,          0.815834004295584, 0.489619370966043, 0.750703947848918,          0.797799046209296, 0.376851773239706, 0.690287469384684,          0.918014501744059, 0.498039402667872, 0.868993594299523,          0.741052769880115, 0.787722851944232, 0.732793638615111         ), PROX_CHAS = c(0.216965800691496, 0.206252010873132,          0.143881852296294, 0.115324197479935, 0.179820414455961,          0.151540147087551, 0.0516610437101642, 0.0697008731150885,          0.0804697697946077, 0.0667093090499658, 4.64133788220832e-08,          0.0474151678735614, 0.339292519878925, 0.164718468919614,          0.157099147473317, 0.258806234431974, 0.151742844958785,          0.0554870656895364, 0.124859952031804, 0.171681037809818         ), PROX_SUPERMARKET = c(0.212835414763751, 0.222574928361305,          0.246182427713253, 0.186698572696543, 0.301981775400679,          0.299482732316256, 0.19171128272723, 0.441950593919319,          0.596048194106483, 0.379080894647373, 0.609798994765399,          0.635527990773791, 0.405378875546255, 0.169255457402684,          0.157098334004615, 0.542179538393358, 0.151741730066283,          0.0453848138423891, 0.114394571204967, 0.172282484091702         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 2L, 0L, 0L, 2L,          0L, 0L, 0L, 2L, 0L, 0L, 0L, 2L, 1L, 0L, 1L, 3L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 4L, 5L, 4L, 4L, 6L,          5L, 2L, 3L, 3L, 3L, 3L, 2L, 6L, 7L, 2L, 7L, 8L, 8L, 5L         ), WITHIN_350M_BUS = c(7L, 6L, 9L, 10L, 7L, 14L, 14L,          8L, 6L, 7L, 5L, 6L, 9L, 10L, 11L, 7L, 8L, 9L, 9L, 6L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 3L, 3L, 2L, 3L, 3L,          3L, 4L, 3L, 3L, 4L, 3L, 2L, 3L, 2L, 3L, 2L, 2L), DNeighbour = c(0,          57.3994544700288, 199.322112228643, 208.09944170437,          336.034364608237, 353.077832338858, 420.956107937069,          460.377477396167, 646.010360340834, 679.362032925462,          690.861752491776, 702.642380011773, 759.816484812859,          780.197284250676, 791.848583562219, 795.988690340914,          834.489814967168, 910.827550579722, 1058.1516830138,          1110.01666229659)), row.names = c("178", "347", "845",      "744", "843", "528", "213", "151", "522", "340", "941", "274",      "666", "625", "598", "63", "750", "508", "148", "689"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.994659210075468, 0.936551236796798, 0.930942159160406,      0.825108953916598, 0.807882739526815, 0.73304682899783, 0.685557309213909,      0.437312766281521, 0.391151295280047, 0.375318445452161,      0.359171169211046, 0.282436252613765, 0.25600961192943, 0.241187448803487,      0.235975496710729, 0.189072619958745, 0.106728122067993,      0.00832945190224662, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1311641109 
R squared (OOB):                  0.453071 

$Forests[[179]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(305000, 315000, 313000,      339000, 338000, 350000, 325000, 320000, 365000, 345000, 388000,      415000, 364000, 288000, 432000, 410000, 420000, 320000, 312000,      305000), floor_area_sqm = c(99, 102, 99, 102, 102, 102, 91,      101, 92, 102, 92, 92, 100, 84, 92, 92, 92, 84, 101, 99),          storey_order = c(1L, 2L, 4L, 3L, 4L, 4L, 2L, 1L, 1L,          4L, 1L, 2L, 2L, 3L, 4L, 2L, 1L, 4L, 2L, 4L), remaining_lease_mths = c(921,          913, 918, 923, 922, 923, 970, 924, 1135, 926, 1134, 1125,          921, 893, 1123, 1136, 1121, 885, 933, 930), PROX_CBD = c(17.9733391318796,          17.9994058772431, 17.8728040148932, 17.9456645257603,          18.1611534549189, 18.0569924715364, 17.7083177660008,          18.0902268845521, 17.8160591469996, 18.236688278315,          17.8160591469996, 17.7609329148819, 17.9386403893839,          18.3632948597919, 17.7152334804069, 17.7152334804069,          17.7152334804069, 18.3433564216417, 18.4625985868209,          17.5508688704121), PROX_ELDERLYCARE = c(0.376016337241346,          0.430537495183344, 0.330981516384048, 0.476454782767532,          0.519233937445895, 0.59750504274373, 0.378187975507624,          0.706169610995159, 0.101440000613482, 0.732088251039709,          0.101440000613482, 0.0656405943898966, 0.714833653499633,          0.645296274244347, 0.0982899037000713, 0.0982899037000713,          0.0982899037000713, 0.623669944895056, 0.765079897684544,          0.169110695114153), PROX_HAWKER = c(0.501520555884575,          0.472244893923117, 0.446535534086157, 0.3648710200987,          0.617364695979906, 0.391180253405874, 0.340346390827249,          0.370412154176866, 0.755409785256781, 0.537987121264097,          0.755409785256781, 0.769612072642938, 0.201936965562497,          0.921741667576702, 0.815736811633103, 0.815736811633103,          0.815736811633103, 0.960648791795978, 0.906262708365532,          0.736171211400498), PROX_MRT = c(0.52882455357406, 0.492638498779759,          0.4868918768976, 0.385567417899789, 0.623413162025338,          0.384524332485438, 0.403335562748004, 0.341202563029131,          0.729659889526201, 0.511061821383635, 0.729659889526201,          0.714624513867521, 0.168914117564514, 0.927224403125457,          0.674833365376197, 0.674833365376197, 0.674833365376197,          0.899458799363821, 0.897303014326537, 0.804998329325227         ), PROX_PARK = c(1.62685700377268, 1.65421298847909,          1.69875568186822, 1.76180373116006, 1.52418818882418,          1.77011013021076, 1.86766019581863, 1.8531048262974,          1.49250729308795, 1.7164330470264, 1.49250729308795,          1.52091098886828, 1.99379565561889, 1.22890358268929,          1.52614967260321, 1.52614967260321, 1.52614967260321,          1.17596756648915, 1.31620863428189, 1.71737354643835),          PROX_GOOD_PRISCH = c(8.54142359534323, 8.5589292690065,          8.43952013253886, 8.49089982759618, 8.72758527833631,          8.58956131155308, 8.26299778187914, 8.60631027953587,          8.44175881664207, 8.76378557853615, 8.44175881664207,          8.39120163011403, 8.4444135457925, 8.96505409295358,          8.35538963357137, 8.35538963357137, 8.35538963357137,          8.95760590087653, 9.04019528068803, 8.17476856172454),          PROX_MALL = c(0.395841490391381, 0.446560923090423, 0.330972758922268,          0.428159644756295, 0.475604736810637, 0.407254736414821,          0.335143296665789, 0.342860958869265, 0.183177100903513,          0.240339889961931, 0.183177100903513, 0.147411017927622,          0.238372860218233, 0.282416841692855, 0.158599011552442,          0.158599011552442, 0.158599011552442, 0.22079632378696,          0.414588198127445, 0.109574351562212), PROX_CHAS = c(0.364030465322827,          0.324811070171065, 0.330972805611547, 0.218909691095897,          0.405258493214775, 0.222103720735081, 0.30242004444134,          0.209799590563819, 0.183177099178452, 0.184864523484869,          0.183177099178452, 0.14741100268466, 0.076984763134016,          0.231219576578415, 0.158598978424062, 0.158598978424062,          0.158598978424062, 0.167893491583302, 0.399223798550346,          0.048268048492383), PROX_SUPERMARKET = c(0.356071330024396,          0.408691343873882, 0.300218301814749, 0.365864675212809,          0.475604214408431, 0.385535197909366, 0.332189289926598,          0.342860053820009, 0.137568853383185, 0.240339157209448,          0.137568853383185, 0.113022549454425, 0.171190500184261,          0.282416494634945, 0.144345834884574, 0.144345834884574,          0.144345834884574, 0.220795796105544, 0.414588227521533,          0.15801430638391), WITHIN_350M_KINDERGARTEN = c(1L, 2L,          1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L,          2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 4L, 4L,          3L, 5L, 4L, 6L, 6L, 8L, 6L, 8L, 8L, 6L, 8L, 6L, 6L, 6L,          8L, 6L, 7L), WITHIN_350M_BUS = c(11L, 9L, 8L, 8L, 10L,          9L, 7L, 7L, 15L, 7L, 15L, 10L, 8L, 8L, 12L, 12L, 12L,          8L, 8L, 12L), WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 6L, 6L,          6L, 5L, 5L, 6L, 6L, 6L, 6L, 5L, 4L, 7L, 7L, 7L, 4L, 5L,          6L), DNeighbour = c(0, 53.8927961545032, 104.487675657846,          145.451059279812, 187.976625783462, 224.035925695991,          287.215850138294, 344.036812794478, 352.471892531143,          354.504670354619, 356.862591086406, 394.885539395886,          401.438841864051, 457.648738871201, 457.789305762398,          460.612904487785, 467.133940917286, 478.867982466378,          498.674574066947, 503.443866596032)), row.names = c("179",      "177", "992", "20", "330", "491", "544", "74", "402", "227",      "53", "365", "638", "864", "298", "13", "289", "953", "729",      "438"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.977212651069127,      0.915704935118701, 0.840026798802123, 0.740608703828186,      0.64315424553527, 0.454986946261054, 0.284099497358244, 0.259926462296386,      0.254177012319869, 0.247547840224077, 0.148044848663823,      0.13262441843572, 0.0301553798856271, 0.0299793092401807,      0.0265409620815417, 0.0193333546016427, 0.00907220488931808,      0.000355583674168329, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1232967990 
R squared (OOB):                  0.3476896 

$Forests[[180]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 426888, 475000,      440000, 460000, 390000, 422000, 382000, 455000, 460000, 458888,      450000, 485000, 420000, 468000, 510000, 425000, 452000, 403500,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 90, 92, 86,      92, 92, 92, 92, 95, 92, 92, 92, 92, 92, 90, 90), storey_order = c(1L,      1L, 2L, 2L, 5L, 5L, 2L, 2L, 4L, 3L, 4L, 3L, 5L, 2L, 4L, 5L,      4L, 2L, 5L, 4L), remaining_lease_mths = c(1134, 1141, 1126,      1136, 1136, 978, 1132, 989, 1136, 1137, 1130, 1136, 1141,      1139, 1124, 1133, 988, 1133, 965, 973), PROX_CBD = c(12.5852639843962,      12.5841594105866, 12.6532888174316, 12.6445046545469, 12.5778468618744,      12.4059518996545, 12.6523002899419, 12.3082954752684, 12.5530445309639,      12.6444338023734, 12.6444338023734, 12.6444338023734, 12.8190940082697,      12.4951121122816, 12.5372560863306, 12.8180148044036, 12.1902934701837,      12.8941535537835, 12.0682850666201, 11.9491294576901), PROX_ELDERLYCARE = c(0.3637938018331,      0.419823195233641, 0.373604611296459, 0.316798451576888,      0.25879478544564, 0.404564014080405, 0.17445131765005, 0.583230122785789,      4.52036057904239e-07, 0.0933099122535032, 0.0933099122535032,      0.0933099122535032, 0.268492105828742, 0.0780281999502717,      0.066903342124331, 0.265081039187363, 0.362754738306624,      0.346816364720296, 0.36227142211874, 0.351349913726565),          PROX_HAWKER = c(0.45815519033126, 0.512822421809829,          0.440383933038266, 0.385855619963418, 0.361759384229333,          0.551023632791116, 0.228019105088385, 0.732610931237137,          0.183834631869038, 0.0943584031018698, 0.0943584031018698,          0.0943584031018698, 0.146347761938812, 0.227760265989261,          0.184899994018696, 0.116173376637396, 0.536726116414185,          0.172433027954251, 0.732401821736703, 0.693645859237657         ), PROX_MRT = c(0.305105021876954, 0.285300897266269,          0.24828698655044, 0.290856617513635, 0.325317058740364,          0.467412150427879, 0.189124878414716, 0.348338435446781,          0.225183269009929, 0.135663244459145, 0.135663244459145,          0.135663244459145, 0.0524349257152741, 0.288636635543175,          0.250680884626282, 0.0414043955932523, 0.364194860258715,          0.133852264483784, 0.353072027979069, 0.207404211118571         ), PROX_PARK = c(0.998305920751222, 1.05356492524152,          0.981635622560504, 0.927332929158558, 0.898636927133822,          1.06942514246801, 0.76865606278053, 1.248380402738, 0.665189387379371,          0.61385987529272, 0.61385987529272, 0.61385987529272,          0.639036828502152, 0.64692671777276, 0.614568616662392,          0.594833919624026, 0.883674706708426, 0.541994755536806,          1.2554933111164, 1.42337349535551), PROX_GOOD_PRISCH = c(3.02473222579279,          3.04090040576321, 3.08870420529617, 3.06407026512831,          2.98751376551561, 2.85954585658161, 3.02962689364369,          2.82059786507503, 2.90013878468328, 2.98554640042679,          2.98554640042679, 2.98554640042679, 3.16783392704602,          2.83249303987555, 2.87119716545371, 3.15789060893291,          2.54749739008747, 3.22227453062783, 2.66094910730305,          2.48771655129493), PROX_MALL = c(0.450387082903272, 0.39575302739997,          0.475487624694748, 0.525247230278188, 0.550769417999913,          0.423524868376446, 0.680457081346124, 0.312386349772529,          0.801147315442336, 0.835997866672575, 0.835997866672575,          0.835997866672575, 0.842111664425906, 0.848059510883206,          0.863947607104433, 0.881741038155881, 0.835543217968543,          0.965068597681967, 0.424043071559413, 0.591401580344059         ), PROX_CHAS = c(0.324614821605945, 0.369996201265779,          0.362882313204726, 0.312339613016365, 0.236995708134403,          0.187639553192951, 0.162820120107843, 0.200650927390068,          0.0780281620295796, 0.102096070463208, 0.102096070463208,          0.102096070463208, 0.0812086980787344, 3.19858778746232e-08,          0.0439945201117045, 0.0772642002388838, 0.167384851183216,          0.115846127710365, 0.0850792531740411, 0.136369833447508         ), PROX_SUPERMARKET = c(0.389269910824952, 0.385003628727568,          0.36465940083402, 0.312339147167174, 0.299832635957983,          0.375814638453933, 0.162819600148508, 0.200651971059786,          0.189775839444753, 0.102095775430648, 0.102095775430648,          0.102095775430648, 0.0812089624400091, 0.255060837787685,          0.218453608018692, 0.0772646744727167, 0.552359009160243,          0.115845823699909, 0.0850782630125017, 0.234851160706955         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 1L, 1L, 1L, 0L,          1L, 0L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 5L, 5L, 5L, 4L,          6L, 4L, 7L, 7L, 7L, 7L, 7L, 5L, 6L, 6L, 3L, 5L, 5L, 6L         ), WITHIN_350M_BUS = c(11L, 10L, 11L, 11L, 8L, 10L, 11L,          8L, 11L, 10L, 10L, 10L, 9L, 10L, 10L, 9L, 12L, 6L, 12L,          12L), WITHIN_1KM_PRISCH = c(4L, 5L, 4L, 4L, 4L, 5L, 4L,          6L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 7L, 7L),          DNeighbour = c(0, 54.2980635669399, 78.0281890057386,          91.6575466651451, 105.947954042577, 177.800164859097,          230.667039162621, 317.907879779711, 360.976952566774,          382.875846451014, 384.104895691159, 389.947583059015,          404.502622446169, 418.739178178557, 426.871091357119,          442.788262692186, 524.686543649496, 528.491243008324,          606.886710297344, 652.748344400878)), row.names = c("180",      "868", "759", "144", "355", "138", "311", "231", "764", "92",      "807", "166", "44", "791", "672", "115", "783", "371", "860",      "175"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98620880316461,      0.971625548912561, 0.960954398456663, 0.948004603810899,      0.857115492240794, 0.765841741033174, 0.581866887474411,      0.481884399536389, 0.430267471944275, 0.427369938743803,      0.413604711014317, 0.379434321384905, 0.346303482296022,      0.327569356655294, 0.29143663131105, 0.12523620332162, 0.118668460261047,      0.0183825353892745, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       620640755 
R squared (OOB):                  0.4776369 

$Forests[[181]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(680000, 545000, 650000,      838000, 760000, 638000, 815000, 680000, 630000, 445000, 480000,      315000, 515000, 446000, 450000, 310000, 550000, 582000, 330000,      470000), floor_area_sqm = c(86, 86, 86, 91, 91, 105, 91,      76, 101, 84, 94, 87, 110, 94, 104, 82, 105, 104, 82, 84),          storey_order = c(3L, 1L, 3L, 12L, 9L, 3L, 11L, 11L, 2L,          3L, 6L, 1L, 1L, 2L, 1L, 5L, 2L, 3L, 4L, 3L), remaining_lease_mths = c(1025,          1025, 1018, 1106, 1091, 918, 1109, 1071, 952, 647, 725,          633, 859, 723, 828, 656, 786, 935, 657, 813), PROX_CBD = c(5.19905620756448,          5.19905620756448, 5.26278746968545, 5.38577040159704,          5.4124717534787, 5.24252163748666, 5.46273996086224,          5.17664618337401, 5.76616775136128, 4.82546817648507,          4.50933618399607, 5.88382015009973, 5.31333197008925,          4.45295385586978, 5.12061996426338, 5.9699685911294,          6.4090346428634, 5.4901102241405, 6.06674643703895, 6.30150758144434         ), PROX_ELDERLYCARE = c(0.3148233892717, 0.3148233892717,          0.310343810032976, 0.343873602324804, 0.277453528347438,          0.232760622048558, 0.323825203617813, 0.203403853153192,          0.708186986363007, 0.401252043911139, 0.665866395733666,          0.599695566252105, 0.301885421229742, 0.645271528549996,          0.279354008399566, 4.28110190953706e-07, 0.336883008423279,          0.157919913507301, 0.10409496222889, 0.0580157957368266         ), PROX_HAWKER = c(0.424686940189847, 0.424686940189847,          0.356302899600742, 0.225377370173431, 0.214745652304629,          0.316098981667774, 0.17988889362956, 0.242990200436355,          0.25612232537118, 0.33634581375869, 0.665007751295857,          0.302293625820731, 0.15027253820603, 0.601904675681234,          0.158729667464322, 0.247906315943116, 0.729024203622067,          0.258924665495, 0.346985863757343, 0.511576723994062),          PROX_MRT = c(0.253583166891469, 0.253583166891469, 0.321982757522174,          0.452916639575337, 0.525678460826462, 0.353807427048722,          0.495510769155532, 0.347215067697513, 0.0934691468297738,          0.437510974512092, 0.549595780709265, 0.37771060533367,          0.839256513816073, 0.66128766903618, 1.12797954219589,          1.03854772657135, 0.631935879685516, 1.30755754576723,          1.1005845300218, 0.911216039334219), PROX_PARK = c(0.482110245392283,          0.482110245392283, 0.550000337404237, 0.680409922157526,          0.766524211973089, 0.540897442657821, 0.816564732509704,          0.502895249788983, 1.02675087524374, 0.386749503328341,          0.353281501558379, 1.09766236241216, 0.919693677764514,          0.473457593144303, 1.12857946410316, 0.792968228054446,          0.73120409495038, 0.803347187860442, 0.741200181243785,          0.950460734805334), PROX_GOOD_PRISCH = c(2.22494939608982,          2.22494939608982, 2.16237499594262, 2.04281306492033,          2.04167837943161, 2.20280244575696, 1.99475835919692,          2.27859573799937, 1.65694818911091, 2.65585299610189,          2.94429219434277, 1.61186682958131, 2.32631552336422,          3.02211493728223, 2.70116277997296, 1.89588922913119,          1.19038460547274, 2.45379201830723, 1.85819018299306,          1.50990256016426), PROX_MALL = c(0.31885342913617, 0.31885342913617,          0.38523327442887, 0.513452616263142, 0.636573036587929,          0.315823950773482, 0.68208602871978, 0.285366785950761,          0.834887080030876, 0.337875853585261, 0.485349818185599,          0.966526596905427, 0.752077094160308, 0.570379319619026,          1.02774547618649, 1.25835483053691, 0.56447134405004,          1.21674302842157, 1.22044581333525, 0.872189526609738         ), PROX_CHAS = c(0.211748617283041, 0.211748617283041,          0.188692357663819, 0.180097972613039, 0.208534953207918,          0.0731998871787336, 0.185272865297861, 0.0737889624358689,          0.143086854941205, 0.315432137833306, 0.331046161101227,          0.256579842259861, 0.111194343620761, 0.303272176186244,          0.193072984237221, 0.21461630683628, 0.141339892509329,          0.233242749827373, 0.252393584019624, 0.0940735950578242         ), PROX_SUPERMARKET = c(0.199301193911681, 0.199301193911681,          0.267150206458008, 0.397689630461078, 0.496000676868079,          0.266280670019211, 0.544212695479659, 0.177322353300672,          0.318319510093507, 0.0907256678718214, 0.325943517329761,          0.27867057765081, 0.370675298005651, 0.34627255092781,          0.198191070641627, 0.227231659318009, 0.360911693423373,          0.37596142908425, 0.321431524942613, 0.469210677159174         ), WITHIN_350M_KINDERGARTEN = c(4L, 4L, 4L, 4L, 1L, 3L,          1L, 1L, 2L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 5L, 7L, 4L, 5L,          4L, 7L, 1L, 2L, 1L, 4L, 3L, 1L, 4L, 2L, 5L, 3L, 2L, 4L         ), WITHIN_350M_BUS = c(9L, 9L, 9L, 8L, 7L, 10L, 8L, 9L,          8L, 8L, 5L, 8L, 12L, 6L, 9L, 8L, 9L, 10L, 6L, 7L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 4L, 3L, 4L, 4L, 2L, 0L, 4L, 3L, 1L, 3L,          4L, 3L, 3L, 5L, 4L), DNeighbour = c(0, 4.19327910774246,          72.454298769155, 203.702168910189, 321.151702608899,          324.9804089835, 366.789198378685, 370.693734509843, 569.951798253777,          639.271953282704, 801.795285515406, 820.789058742727,          880.135425346688, 913.129118997059, 1238.79126172338,          1325.29693318334, 1340.13262219039, 1352.77364122877,          1423.1436259452, 1425.75316114992)), row.names = c("181",      "533", "199", "116", "436", "472", "75", "897", "430", "288",      "622", "201", "279", "346", "646", "920", "269", "307", "628",      "417"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999982699965403,      0.994841677625543, 0.95959107876557, 0.901098693505724, 0.898789701670773,      0.872014775929122, 0.869371179690364, 0.705929365191957,      0.638336977846586, 0.467506318995671, 0.447003585955077,      0.383068309148471, 0.347886275860708, 0.0600585414260323,      0.0184830380737198, 0.0135720992216837, 0.00995070411185201,      1.33752644858867e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       13323919426 
R squared (OOB):                  0.4508829 

$Forests[[182]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(448000, 440000, 435000,      358000, 380000, 360000, 441000, 425000, 365000, 320000, 385000,      438000, 432000, 431000, 456500, 395000, 425000, 420000, 450000,      432000), floor_area_sqm = c(96, 96, 95, 93, 94, 94, 93, 94,      94, 92, 93, 94, 92, 92, 92, 94, 94, 94, 94, 93), storey_order = c(9L,      7L, 6L, 1L, 1L, 1L, 6L, 5L, 1L, 2L, 1L, 5L, 6L, 7L, 8L, 4L,      6L, 7L, 7L, 5L), remaining_lease_mths = c(1110, 1108, 1105,      1103, 1107, 1096, 1097, 1083, 1095, 1009, 1134, 1076, 1137,      1138, 1144, 1113, 1119, 1120, 1119, 1138), PROX_CBD = c(11.5810624146691,      11.6053344020152, 11.6071858552171, 11.8075546541859, 11.6781560559471,      11.6781560559471, 11.8078122246038, 11.8751655684431, 11.7965908296893,      11.3397363359505, 11.6526890235784, 11.9414743986494, 11.9317097346946,      11.9317097346946, 11.9527102757424, 11.9744040829633, 11.9828723130509,      12.0119641769274, 12.0119641769274, 11.7767430748854), PROX_ELDERLYCARE = c(1.05973522725621,      1.04503450829128, 1.02315858897206, 0.922118515238085, 1.09658820367145,      1.09658820367145, 0.95260617550949, 0.727329111385366, 1.00802268588986,      1.39271535621019, 0.935812608446987, 0.687500817542951, 0.680106913101551,      0.680106913101551, 0.819362766143575, 0.738781707341689,      0.710325725805382, 0.673044116243487, 0.673044116243487,      0.813774711283767), PROX_HAWKER = c(0.226379932511381, 0.210992660312359,      0.193888136950838, 0.209140712961875, 0.34952328079698, 0.34952328079698,      0.262687630178652, 0.145379780608352, 0.337854809554552,      0.570701345451429, 0.34883542271072, 0.147098227142532, 0.161367564791002,      0.161367564791002, 0.27814297307049, 0.217370340361849, 0.20448046373977,      0.222580914455278, 0.222580914455278, 0.340776861445006),          PROX_MRT = c(0.233016580221366, 0.206803096961617, 0.216093917824789,          0.120215557602138, 0.274140861026222, 0.274140861026222,          0.173777829752023, 0.191731142133254, 0.249549573241666,          0.534489810386183, 0.28284034831035, 0.183575431830776,          0.214149342621172, 0.214149342621172, 0.200702114351669,          0.167322140356011, 0.170867756883987, 0.201095784108649,          0.201095784108649, 0.162476645519961), PROX_PARK = c(0.520771390450273,          0.554363925008431, 0.521580333579447, 0.747098338531098,          0.620391651843957, 0.620391651843957, 0.746013140888617,          0.723512884628395, 0.739061594864021, 0.290298216204727,          0.489736206412745, 0.807374064658721, 0.785212145526225,          0.785212145526225, 0.643017670933737, 0.679906922269617,          0.697136724289492, 0.691047645736797, 0.691047645736797,          0.615413214289157), PROX_GOOD_PRISCH = c(1.87254500118751,          1.90056431650247, 1.89230283405924, 2.12338877581429,          2.02616945457316, 2.02616945457316, 2.13533890725473,          2.14229157607785, 2.14271827973834, 1.70706505143727,          1.91178525383739, 2.21615815400514, 2.20126444296921,          2.20126444296921, 2.270018309959, 2.27223739349538, 2.27447890050516,          2.29976812492723, 2.29976812492723, 2.03585243074848),          PROX_MALL = c(0.185878129611589, 0.158081786709397, 0.173810560938293,          0.119447773727589, 0.244599870232268, 0.244599870232268,          0.17025857997445, 0.249449426365425, 0.241737870027575,          0.459056401007768, 0.427385274755512, 0.22663965361209,          0.255684281538694, 0.255684281538694, 0.232344363503357,          0.214069216816763, 0.220402811054307, 0.251262654177611,          0.251262654177611, 0.437539575450179), PROX_CHAS = c(0.185878170229198,          0.158081821824728, 0.173810611614792, 0.11944771257822,          0.163903281406512, 0.163903281406512, 0.170258520163124,          0.179410689617013, 0.101692541492014, 0.111613351644546,          0.225869963934761, 0.156140837156126, 0.203726500797623,          0.203726500797623, 0.146038815472653, 0.0939357367291076,          0.0995919009989899, 0.131248018016709, 0.131248018016709,          0.108183414657245), PROX_SUPERMARKET = c(0.177355035948325,          0.148884454693003, 0.1671684124578, 0.119571834445138,          0.19333058996533, 0.19333058996533, 0.168966076328732,          0.179159947933279, 0.17897337633635, 0.440050810323431,          0.225911825558638, 0.236998053946951, 0.217804588957955,          0.217804588957955, 0.237998550380205, 0.22318738818849,          0.230351837454113, 0.261515416493987, 0.261515416493987,          0.108294583955479), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 2L, 2L, 4L, 7L, 3L, 1L, 3L, 6L, 6L, 6L, 5L, 7L,          6L, 6L, 6L, 3L), WITHIN_350M_BUS = c(7L, 8L, 6L, 10L,          9L, 9L, 11L, 6L, 9L, 9L, 4L, 8L, 8L, 8L, 12L, 10L, 7L,          6L, 6L, 4L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          3L, 3L, 4L, 3L, 2L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          4L), DNeighbour = c(0, 32.1450188150554, 52.7141752584397,          278.13611026632, 284.680359494322, 288.27115082328, 311.661271881697,          345.873039585819, 355.406086416211, 366.529897223458,          374.172507172389, 375.112057873681, 382.647947856802,          390.704195259811, 408.645287812304, 409.082234355855,          411.468425030781, 430.824859301161, 435.751157535384,          440.701042253724)), row.names = c("182", "158", "922",      "724", "644", "954", "439", "250", "41", "254", "309", "781",      "392", "613", "749", "858", "203", "167", "947", "325"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.989387630250945, 0.971589514753765, 0.362024909176322,      0.339563397675138, 0.327330063508698, 0.249876215563397,      0.147494613458071, 0.122240020051115, 0.0950362420471644,      0.0779148166003829, 0.0759043824695384, 0.0605678770411591,      0.0458072727010793, 0.0196519352209222, 0.0191395196401501,      0.0164517093610078, 0.00196409522605502, 0.000498965282843734,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       751686452 
R squared (OOB):                  0.4796622 

$Forests[[183]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(455000, 432000, 455000,      490000, 520000, 535000, 545000, 498000, 532000, 465000, 395000,      550000, 589000, 510000, 460000, 4e+05, 5e+05, 403000, 550000,      520000), floor_area_sqm = c(93, 93, 92, 95, 93, 93, 93, 93,      96, 93, 90, 98, 96, 97, 92, 92, 93, 92, 95, 93), storey_order = c(5L,      5L, 4L, 2L, 4L, 4L, 5L, 2L, 4L, 5L, 1L, 4L, 6L, 2L, 2L, 1L,      6L, 1L, 4L, 5L), remaining_lease_mths = c(1138, 1129, 1133,      1111, 1118, 1118, 1127, 1102, 1111, 1097, 997, 1103, 1111,      1104, 1137, 1131, 1137, 1138, 1115, 1147), PROX_CBD = c(13.5153222954464,      13.4495242740615, 13.5263069451707, 13.7780295697528, 13.7912064237251,      13.8964286142315, 13.8964286142315, 13.8269911518463, 13.8842234613226,      13.8110145095205, 13.4480864429089, 13.7784857598507, 13.8838492138892,      13.7787547800329, 13.9481332653994, 13.9748767742628, 13.7068457080251,      13.9348601041022, 13.9206851659757, 13.7003463440691), PROX_ELDERLYCARE = c(0.128038783583345,      0.226392675254826, 0.13293861465481, 0.24280876806526, 0.194902312085005,      0.28821019895416, 0.28821019895416, 0.272443342502121, 0.284905700992106,      0.2424730747692, 0.38095926022983, 0.303554199654945, 0.321249151015697,      0.357313426679343, 0.108372417523696, 0.0869602171534455,      0.409751638237597, 0.122633260073778, 0.410984632703067,      0.434917902994305), PROX_HAWKER = c(1.06471945671836, 1.13086059974118,      1.0232116664491, 0.855348356505915, 0.761066408094757, 0.700607063348248,      0.700607063348248, 0.718894335359525, 0.667389882084889,      0.93957565430704, 1.11021170000921, 0.771130061467184, 0.661984274687099,      0.779750574682814, 0.783686601130967, 0.759405218095962,      1.09574216637781, 0.848294615942255, 0.63246529422046, 1.07570104527527     ), PROX_MRT = c(0.531733722241289, 0.537207200764636, 0.529059791722705,      0.290902656750774, 0.263976344610204, 0.214342865325431,      0.214342865325431, 0.250191496834268, 0.172676244118343,      0.110074032088272, 0.436627689790507, 0.334453451125385,      0.202599849124069, 0.373119808041594, 0.146013494832411,      0.16215489673441, 0.23189639897339, 0.066674836544346, 0.247793554682504,      0.256932190523524), PROX_PARK = c(1.12627074536918, 1.14705623529365,      1.00320858387115, 1.08412864631293, 1.03946212768551, 0.945155408432775,      0.945155408432775, 1.00953333913803, 0.946790994443363, 1.12286028608686,      0.782217598170287, 1.07038952907209, 0.953674473627188, 1.07510958061046,      0.964943529987853, 0.93793434477989, 1.30108171005294, 1.01289159319472,      0.9355470513087, 1.30953091682666), PROX_GOOD_PRISCH = c(4.05859518452173,      3.97306691053722, 4.12550653324601, 4.27934963146811, 4.37243865161908,      4.42474408393319, 4.42474408393319, 4.43409233459216, 4.46427355245829,      4.2580170038876, 4.1394886986689, 4.41640053984819, 4.48950135049007,      4.43794264479214, 4.41058426346667, 4.4381077472328, 4.11427377683663,      4.3780728039611, 4.55661004860153, 4.10033714204368), PROX_MALL = c(0.741140095950697,      0.817008429043632, 0.734460127270614, 0.507308338763366,      0.47180896375681, 0.36232957329041, 0.36232957329041, 0.464449368072494,      0.384398044205003, 0.585854127158584, 0.747053206605742,      0.546157830895501, 0.415387276861254, 0.579723774298741,      0.431747484707969, 0.408666125180857, 0.786897805640679,      0.500682206465503, 0.441605558767423, 0.816725098938654),          PROX_CHAS = c(0.0484693686848179, 0.142936854782623,          0.164485608616764, 0.246000912873009, 3.14247486029477e-08,          0.190952462752685, 0.190952462752685, 0.093713435160417,          0.0936868185767241, 0.123846030022364, 0.419877338676521,          0.171232412843018, 0.130388475133542, 0.2330532561781,          0.0812590805558053, 0.0955424375353944, 0.0683167852462459,          3.70448785353559e-08, 0.230184731543739, 0.0738696133860389         ), PROX_SUPERMARKET = c(0.321659607097496, 0.417643104955167,          0.265115106421715, 0.271122867675942, 8.52808058992138e-07,          0.190953240917096, 0.190953240917096, 0.0937132175773042,          0.093687407280864, 0.157551778944521, 0.428569074432488,          0.171231859107883, 0.130388583033251, 0.233052713938452,          0.194128300134642, 0.205979542456043, 0.0683172333971998,          0.112910168339451, 0.23018467784701, 0.0738703098972174         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 2L, 2L, 0L, 2L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 5L, 4L, 4L, 4L,          4L, 5L, 3L, 3L, 5L, 5L, 3L, 4L, 3L, 4L, 5L, 5L, 4L, 5L         ), WITHIN_350M_BUS = c(6L, 5L, 2L, 9L, 8L, 9L, 9L, 8L,          7L, 12L, 4L, 7L, 9L, 11L, 7L, 6L, 14L, 11L, 13L, 13L),          WITHIN_1KM_PRISCH = c(5L, 4L, 6L, 6L, 5L, 5L, 5L, 5L,          5L, 4L, 7L, 6L, 5L, 8L, 4L, 4L, 3L, 4L, 5L, 3L), DNeighbour = c(0,          94.1061484758809, 174.013259858153, 275.905453515397,          318.516359287642, 375.651939678461, 379.623221267441,          405.227792329189, 407.264765092499, 420.577251389493,          420.930811292657, 421.995481935701, 450.315757091539,          474.605403349161, 481.248349421726, 510.788081903622,          512.955839346379, 515.948230822082, 542.453225931371,          547.56149138066)), row.names = c("183", "988", "779",      "282", "420", "760", "442", "376", "670", "645", "655", "837",      "723", "549", "34", "690", "863", "356", "516", "616"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.941797930102156, 0.808210401092578, 0.556672125062424,      0.437748236721188, 0.280202917484876, 0.269712009424277,      0.204586799938114, 0.199623740818593, 0.168129242859839,      0.167316447380156, 0.164876690884814, 0.104752349083474,      0.0618635885904421, 0.0517771140095255, 0.0168497896152434,      0.0149829738805932, 0.0125744766767179, 0.000344889559090358,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2049298740 
R squared (OOB):                  0.3311137 

$Forests[[184]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 340000, 310000,      402000, 315000, 310000, 370000, 315000, 310000, 320800, 416000,      350000, 358000, 302500, 320000, 387008, 315000, 313000, 318000,      327000), floor_area_sqm = c(93, 91, 96, 93, 91, 91, 93, 97,      84, 92, 98, 91, 91, 93, 93, 97, 104, 84, 84, 84), storey_order = c(4L,      2L, 1L, 4L, 3L, 3L, 1L, 3L, 3L, 1L, 4L, 1L, 1L, 2L, 3L, 2L,      4L, 4L, 1L, 1L), remaining_lease_mths = c(761, 782, 772,      762, 774, 774, 782, 746, 806, 965, 779, 957, 760, 764, 762,      775, 777, 772, 785, 802), PROX_CBD = c(16.1297617902268,      16.0688727275577, 16.0124832316584, 15.8715793299193, 16.1626205207603,      16.3680873997092, 15.9422949327985, 16.179026897848, 16.5546706157429,      16.3149444157129, 16.1674221276903, 16.4034806336055, 15.6053010835868,      15.7384939989151, 15.7384939989151, 15.8742411347238, 15.5029529482698,      15.5029529482698, 15.4237712873611, 15.395293903354), PROX_ELDERLYCARE = c(1.29938230642316,      1.20623153653763, 1.41328722649904, 1.28212929908789, 1.55788424655444,      1.42545230549203, 1.09392979000114, 1.73064849730919, 1.28388145020366,      1.76400828031834, 0.762025473923165, 0.839978570407226, 1.18278326755006,      1.81389464514152, 1.81389464514152, 0.784609866943175, 1.60634233373903,      1.60634233373903, 1.66429806880172, 1.48326161455178), PROX_HAWKER = c(0.335840869363962,      0.426544691499688, 0.231474226543029, 0.428166805124, 0.113648031708615,      0.369132496020862, 0.571238530927929, 0.141690035201285,      0.634516033073404, 0.267171899978326, 0.872582424517839,      0.889236545198411, 0.745618024005524, 0.367446283592148,      0.367446283592148, 0.921851461637316, 0.592613874358246,      0.592613874358246, 0.663653920640621, 0.763118949388798),          PROX_MRT = c(0.514969181151661, 0.406145228037129, 0.526610558032509,          0.326170963259121, 0.733071345608223, 0.767751604782153,          0.22642613478059, 0.887672461516919, 0.786543604226707,          0.980548762507945, 0.447065767326062, 0.660139833101166,          0.180817781363956, 0.817431272071058, 0.817431272071058,          0.243577544220952, 0.579811001445256, 0.579811001445256,          0.641519249244255, 0.486709870425329), PROX_PARK = c(0.709135847201637,          0.697314652170583, 0.641040622161513, 0.729541055973412,          0.622244080025509, 0.655349613079545, 0.749126986336644,          0.539742315344257, 0.413578796610442, 0.504828773517413,          0.490935310554108, 0.251028276822116, 0.580682002012541,          0.197322246351151, 0.197322246351151, 0.457440234531046,          0.518465718930498, 0.518465718930498, 0.527546900647844,          0.736647900507106), PROX_GOOD_PRISCH = c(6.52049985370614,          6.46919552361138, 6.39414010271149, 6.26806838260706,          6.53246509089368, 6.74866006620563, 6.35759010380229,          6.53838177865997, 6.95112153433386, 6.672975925328, 6.62018800412964,          6.84769610957781, 6.02648848177283, 6.09593783675615,          6.09593783675615, 6.33578781760894, 5.8805780078001,          5.8805780078001, 5.79932453842233, 5.79164197089728),          PROX_MALL = c(0.568960814514176, 0.45653839484425, 0.598952481573277,          0.405953132327172, 0.800586392071248, 0.812249060303789,          0.275355858531219, 0.960112961135972, 0.809678350084408,          0.965701391482886, 0.402318259451987, 0.630333401213655,          0.252610517585887, 0.906877360376741, 0.906877360376741,          0.159478773824134, 0.667352945771092, 0.667352945771092,          0.726704111983395, 0.561468969675593), PROX_CHAS = c(0.215228497760129,          0.123235071398074, 0.191204296760245, 0.170717118999449,          0.107377285719627, 0.317481852326526, 0.101928728560798,          0.0821179618758864, 0.102023856475547, 0.215258950862385,          0.277543603442508, 0.142060383584178, 0.0925674017483885,          0.184740133551779, 0.184740133551779, 0.159478805927642,          0.128101303359069, 0.128101303359069, 0.11942955396425,          0.1019571402223), PROX_SUPERMARKET = c(0.353026966783941,          0.399183655269817, 0.214004200599592, 0.323117190327721,          0.191669323632479, 0.442251956603444, 0.218983947734938,          0.224545288466622, 0.57240719914765, 0.357579925001748,          0.277543419111335, 0.142061131074292, 0.188530812320699,          0.287892528450529, 0.287892528450529, 0.159478664733051,          0.314517101025506, 0.314517101025506, 0.307102160965552,          0.0953919744611677), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 3L, 1L, 3L, 1L, 1L, 3L, 2L, 1L, 1L, 2L, 1L, 3L, 3L,          0L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          4L, 2L, 5L, 2L, 2L, 3L, 2L, 1L, 3L, 3L, 5L, 7L, 7L, 5L,          2L, 2L, 3L, 2L), WITHIN_350M_BUS = c(8L, 9L, 8L, 8L,          9L, 8L, 8L, 8L, 10L, 8L, 6L, 7L, 10L, 10L, 10L, 8L, 10L,          10L, 11L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 4L, 4L, 3L, 5L, 3L, 5L, 4L, 4L, 3L, 3L, 6L, 3L, 3L,          4L, 4L), DNeighbour = c(0, 113.841504447545, 154.254730492995,          258.68974542692, 259.258720536903, 269.626846680735,          288.341342572222, 431.304875087216, 434.144567119667,          487.936147509314, 537.085575055848, 565.106719301844,          575.475137944658, 612.389998045067, 612.782062962953,          628.839950168756, 644.230226271062, 645.643244605877,          726.108145922292, 729.522141152568)), row.names = c("184",      "804", "740", "294", "335", "198", "708", "336", "22", "980",      "351", "206", "143", "437", "803", "83", "162", "587", "293",      "556"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.951890150897654,      0.912579897129002, 0.764326489446007, 0.763358579933751,      0.745460314325856, 0.711964540055851, 0.423103554119382,      0.417117439927633, 0.305420212907326, 0.20975172764387, 0.159963818016504,      0.142682861682868, 0.0872260955120391, 0.0866937823396451,      0.0660362665852748, 0.0484706370776242, 0.0469744141119391,      8.71914855651497e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       643704167 
R squared (OOB):                  0.4286539 

$Forests[[185]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 433000, 348000,      372500, 450000, 452000, 380000, 490000, 376000, 475000, 505000,      5e+05, 505000, 495000, 510000, 540000, 540000, 475000, 378888,      330000), floor_area_sqm = c(93, 92, 100, 102, 95, 95, 92,      92, 102, 90, 90, 92, 92, 93, 93, 90, 93, 93, 90, 91), storey_order = c(2L,      4L, 3L, 2L, 2L, 4L, 1L, 3L, 5L, 5L, 6L, 3L, 4L, 3L, 3L, 3L,      4L, 4L, 6L, 3L), remaining_lease_mths = c(1099, 1084, 938,      931, 1109, 1112, 1037, 1038, 944, 1031, 1033, 1049, 1051,      1076, 1076, 1067, 1075, 1130, 949, 951), PROX_CBD = c(11.8999896789117,      11.8702915361943, 11.8646943012694, 11.9627383543319, 12.0901026943072,      12.1424265739316, 11.6419253241709, 11.6213283462416, 11.9885535057438,      11.780035597066, 11.6571985599938, 11.4975151935682, 11.4388659085475,      11.7824349405223, 11.734228152501, 11.5237533038112, 11.8019303594103,      11.4536743231806, 12.4403773011877, 12.402570085049), PROX_ELDERLYCARE = c(0.790393757138983,      0.670900780040593, 0.893707553155367, 0.96089261866182, 0.911165280518988,      0.88680281476439, 0.626216066088841, 0.621923465733728, 0.468647269590137,      0.389019901488026, 0.400746835300904, 0.485429735975203,      0.529438756707198, 0.213047345375207, 0.217445500321488,      0.374021376468387, 0.184707688528033, 1.19895989384568, 0.624054710630084,      0.628872951670854), PROX_HAWKER = c(0.820501997631561, 0.715369360111721,      0.888626336009462, 0.983415578941634, 0.995330006841388,      0.999275592501037, 0.553081930127745, 0.537052085835962,      0.661637750611862, 0.475091880549249, 0.38372613736418, 0.320302217757218,      0.319632581294072, 0.411134055372247, 0.366555491930585,      0.235307086042243, 0.425288384889406, 1.02903329925728, 1.46996215979098,      1.50745216628998), PROX_MRT = c(0.261250382411254, 0.146531371307633,      0.214047355776769, 0.122900516984256, 0.231980634651484,      0.303530488733859, 0.168432978085695, 0.182944945438028,      0.253577460439113, 0.149757666469573, 0.187661086924798,      0.24936700359253, 0.264110896255266, 0.323171872402698, 0.276453864170284,      0.148196296616071, 0.341923672362566, 0.573574303209013,      0.140157494228817, 0.198968515523371), PROX_PARK = c(0.813614799778521,      0.8322137924942, 0.747986195716587, 0.836149627657164, 0.750469455971567,      0.699596772952975, 0.654970873229416, 0.643411448820926,      0.965214735166117, 0.915827670442916, 0.822874314333037,      0.698336840868775, 0.653351036954048, 1.04913519120928, 1.00928973198994,      0.808531626238996, 1.09015045463689, 0.341254943367627, 0.525489875872169,      0.61879465488716), PROX_GOOD_PRISCH = c(3.00567179865442,      2.91053685401804, 3.05097986431403, 3.15511978010431, 3.19167768034691,      3.20088339163048, 2.71543842399088, 2.69528593883292, 2.84793008582659,      2.67648686403773, 2.58492752090912, 2.48345794754568, 2.45055199705462,      2.5757070458522, 2.54247396470066, 2.43173748992112, 2.57167610218627,      2.96812409551872, 3.6640626331803, 3.69141799128789), PROX_MALL = c(0.283076960540796,      0.385092319171944, 0.265637621954407, 0.161680393170103,      0.1200910408013, 0.171446483339376, 0.576398809288588, 0.597386337892971,      0.581599658792334, 0.657761426948524, 0.718523422751835,      0.805279144871904, 0.840491697823826, 0.732391369928616,      0.781937846313192, 0.840908486660855, 0.70263709534569, 0.714729745574342,      0.37643645467035, 0.407881748949563), PROX_CHAS = c(0.283076936045466,      0.179381733260264, 0.265637621677666, 0.161680400961643,      0.120090990225825, 0.171446425970546, 0.118628580179885,      0.130352204164602, 0.0548782345589675, 0.165734916528407,      0.162236141473446, 0.18789773503711, 0.210772889992189, 0.182294192745256,      0.203102352137365, 0.0822817354855642, 0.144895120017984,      0.31407050179696, 0.376436475429729, 0.407881782403473),          PROX_SUPERMARKET = c(0.236972988988714, 0.31749021679057,          0.211091622880127, 0.107037284539066, 0.109512866312649,          0.178201527122821, 0.0879874709963817, 0.0679201472407272,          0.41771106664497, 0.328761363845442, 0.248678179468178,          0.186124684843571, 0.189609627596398, 0.186528474083994,          0.206717744357565, 0.113409172087645, 0.149354766345577,          0.345653574215055, 0.426522673463594, 0.451295114828249         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 1L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 9L, 7L, 8L, 8L, 7L,          6L, 6L, 6L, 9L, 8L, 4L, 4L, 8L, 8L, 4L, 7L, 2L, 4L, 3L         ), WITHIN_350M_BUS = c(9L, 10L, 8L, 9L, 8L, 9L, 8L, 8L,          14L, 8L, 9L, 8L, 7L, 11L, 10L, 5L, 13L, 8L, 11L, 9L),          WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 4L, 4L, 5L, 5L, 6L,          7L, 6L, 5L, 4L, 5L, 7L, 5L, 4L, 6L, 4L, 4L, 4L), DNeighbour = c(0,          118.204047427775, 124.977938856165, 174.582713986935,          195.900626524441, 238.796360453697, 297.905511135218,          316.571513166272, 397.240305516301, 405.086853713383,          441.342229578613, 529.479787887512, 561.017586894667,          576.107594573585, 580.651101903039, 584.424921344144,          609.817197189556, 613.876761676978, 651.616343440841,          682.950654942027)), row.names = c("185", "110", "232",      "295", "117", "147", "421", "89", "486", "263", "977", "553",      "271", "260", "409", "652", "342", "132", "444", "80"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.940985064672038, 0.9341456170681, 0.873576743729912, 0.842210445179721,      0.770431281462591, 0.655656922126334, 0.61643748503496, 0.437820122783443,      0.420140334238814, 0.339176512725115, 0.159150590771343,      0.105755822158168, 0.0831815446941744, 0.0768087347520361,      0.0716725271933678, 0.0410880943070092, 0.036883738469913,      0.00803829188567431, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2046997532 
R squared (OOB):                  0.517642 

$Forests[[186]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 410000, 430000,      420000, 380000, 399000, 410000, 415000, 365000, 390000, 485000,      355000, 395000, 440000, 423800, 415000, 478000, 390000, 420000,      385000), floor_area_sqm = c(104, 104, 103, 105, 105, 102,      84, 103, 103, 103, 104, 84, 103, 104, 104, 104, 104, 102,      103, 102), storey_order = c(3L, 2L, 2L, 2L, 1L, 3L, 4L, 2L,      1L, 1L, 3L, 3L, 4L, 3L, 2L, 2L, 5L, 2L, 2L, 3L), remaining_lease_mths = c(747,      761, 764, 787, 775, 766, 814, 768, 757, 773, 823, 804, 772,      752, 756, 760, 770, 763, 757, 755), PROX_CBD = c(12.4246534304877,      12.2901811097239, 12.3243460542753, 12.7549887608908, 12.8173662852819,      13.0078000734933, 12.8927390133383, 13.0537205387581, 13.0970803497533,      11.9179556382635, 12.533007335037, 13.01786092695, 13.1724132817366,      13.1913836000948, 11.7174653186763, 11.6914583773846, 11.927322045494,      11.6387779682198, 13.2614515751509, 13.2614515751509), PROX_ELDERLYCARE = c(0.223353489993969,      0.180150537957213, 0.362207242709056, 0.556485595404089,      0.548539301056628, 0.748101088186933, 0.702153634905252,      0.569472877275307, 0.830352740740998, 0.757050983431463,      0.635175801858358, 0.807586217367385, 0.906244923447749,      0.779182108791446, 0.74375074589335, 0.736997311630605, 0.77464979732367,      0.792216801753581, 0.99636081833896, 0.99636081833896), PROX_HAWKER = c(0.283538945902673,      0.155357947035291, 0.290415492755609, 0.627642822312809,      0.687183343617196, 0.90031621758677, 0.876276656944215, 0.963287544217337,      0.973651338137405, 0.581821713307667, 0.80610763907972, 0.976719939584195,      1.03184370064912, 1.05769292681279, 0.5637831570093, 0.558671781535233,      0.445987433628815, 0.61454926069889, 1.14030290242306, 1.14030290242306     ), PROX_MRT = c(0.694199692700576, 0.729338839878115, 0.559245805822074,      0.561554903993597, 0.607087114668938, 0.513893198964272,      0.279401054335897, 0.551410176707671, 0.602819058882962,      0.401552834915971, 0.317839503016409, 0.343251427728879,      0.712767869041386, 0.577154139562059, 0.162940637784707,      0.140110279979828, 0.493642118682657, 0.0844107562606101,      0.667490524156887, 0.667490524156887), PROX_PARK = c(1.19561442246869,      1.26762597166046, 1.218970746516, 1.16122098497616, 0.953457314885518,      0.842333894517479, 0.620470631841848, 0.974634241933185,      0.879464356596765, 1.26489639581012, 0.503650356541676, 0.656436399769765,      0.94305137750942, 1.12092772213378, 1.5229705853841, 1.50772581466401,      1.17760662255222, 1.51709061898346, 0.758867978246924, 0.758867978246924     ), PROX_GOOD_PRISCH = c(1.09898709469432, 0.992456269301591,      0.889618707353532, 1.29435567579286, 1.5016146113424, 1.72660166123773,      1.774803188623, 1.48818847749708, 1.76550469910092, 0.374797987706521,      1.74800143577954, 1.85318585541752, 1.76071721252525, 1.6842887316892,      0.440184840714675, 0.476923220580037, 0.289303568244907,      0.453346371612442, 1.91909050044553, 1.91909050044553), PROX_MALL = c(0.626909601034773,      0.649064194608972, 0.471904090765479, 0.542723135774117,      0.635314033644823, 0.5620231960968, 0.322264379768498, 0.593340478429386,      0.655283448157635, 0.498039402667872, 0.260189306400009,      0.400117032043626, 0.808064657998832, 0.813382909306435,      0.750703947848918, 0.797799046209296, 0.376851773239706,      0.815834004295584, 0.72813233212774, 0.72813233212774), PROX_CHAS = c(0.221655673315632,      0.128297543182753, 0.193597629002809, 0.144180959238343,      0.149554006756045, 1.4078617678234e-08, 0.241407331054591,      0.203693673714882, 0.10733838099953, 0.258806234431974, 0.227429082883153,      0.191102980152323, 0.253073540027742, 0.19044114280624, 4.64133788220832e-08,      0.0474151678735614, 0.339292519878925, 0.0804697697946077,      0.255705601713763, 0.255705601713763), PROX_SUPERMARKET = c(0.209750471448386,      0.159863951308791, 0.331501685351864, 0.150188458093997,      0.14719471752053, 0.0851968725918189, 0.234452518543083,      0.349948262987797, 0.176189281490626, 0.542179538393358,      0.260187243864149, 0.230446816430876, 0.263318229535236,      0.190441743522314, 0.609798994765399, 0.635527990773791,      0.405378875546255, 0.596048194106483, 0.336474046543398,      0.336474046543398), WITHIN_350M_KINDERGARTEN = c(2L, 4L,      2L, 2L, 3L, 2L, 2L, 2L, 1L, 0L, 1L, 3L, 1L, 3L, 0L, 0L, 0L,      0L, 2L, 2L), WITHIN_350M_CHILDCARE = c(5L, 5L, 4L, 3L, 2L,      2L, 4L, 2L, 1L, 2L, 3L, 2L, 3L, 4L, 3L, 3L, 2L, 3L, 2L, 2L     ), WITHIN_350M_BUS = c(4L, 3L, 4L, 7L, 5L, 6L, 4L, 8L, 4L,      7L, 7L, 5L, 6L, 8L, 5L, 6L, 9L, 6L, 6L, 6L), WITHIN_1KM_PRISCH = c(5L,      5L, 6L, 5L, 5L, 4L, 4L, 6L, 4L, 3L, 3L, 4L, 4L, 5L, 3L, 3L,      4L, 3L, 4L, 4L), DNeighbour = c(0, 132.018339593795, 216.18591788812,      353.417775367196, 432.420573202711, 647.443026317753, 684.024549757195,      692.229357170118, 706.999370710905, 717.658557916614, 753.982906056908,      758.476619929603, 759.194518557367, 773.763731830881, 788.608895223055,      789.894774476186, 837.553425620455, 847.450370421679, 878.21759784673,      879.590514625914)), row.names = c("186", "518", "861", "215",      "523", "103", "493", "541", "597", "63", "758", "789", "225",      "229", "941", "274", "666", "522", "753", "473"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.955453050089543, 0.882833317222445, 0.703180034418097,      0.575040014945288, 0.209943765219787, 0.15621548894501, 0.144891371069975,      0.125269177990107, 0.111760482302015, 0.0703375216919986,      0.0657550609463737, 0.065034816130436, 0.0511447273671792,      0.0384840794342869, 0.0374616308163823, 0.00870475440171344,      0.00514729110535966, 9.72991855856442e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       992628990 
R squared (OOB):                  0.05169232 

$Forests[[187]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 355000, 430000,      345000, 4e+05, 358000, 363000, 340000, 380000, 492500, 380000,      440000, 378000, 377000, 660000, 672000, 352000, 410000, 388000,      650000), floor_area_sqm = c(84, 84, 104, 84, 104, 84, 84,      84, 93, 108, 92, 91, 84, 98, 85, 85, 84, 103, 98, 104), storey_order = c(3L,      3L, 2L, 1L, 2L, 3L, 4L, 1L, 3L, 2L, 1L, 5L, 3L, 3L, 3L, 5L,      2L, 2L, 2L, 3L), remaining_lease_mths = c(777, 782, 781,      789, 783, 770, 780, 780, 790, 912, 767, 669, 799, 735, 1032,      1042, 800, 799, 728, 815), PROX_CBD = c(7.32999369210923,      7.37752466520609, 7.27303659463988, 7.23308787648785, 6.8579883001408,      6.82164733234375, 6.82164733234375, 6.73119135364588, 7.92065359752155,      8.12312779702036, 8.01258306529517, 6.95185067667089, 8.15960948514705,      8.07728506382532, 6.62545736407856, 6.58265946872266, 8.28689365911172,      8.31972436488376, 8.19895861369783, 7.71625132507906), PROX_ELDERLYCARE = c(1.04617467786566,      1.11141904944431, 0.949520652768775, 0.804640181087392, 0.650979480304367,      0.729511559050305, 0.729511559050305, 0.709869492714774,      1.44631042678071, 1.71708078323557, 1.38923408288603, 0.368543492371998,      1.45090119588013, 1.22552837794249, 0.121758896932011, 0.129826558983194,      1.3668692597991, 1.3912791419992, 1.1658248464307, 1.13999552495818     ), PROX_HAWKER = c(1.00458194418859, 1.06790139631185, 0.905159668549179,      0.727393295990439, 0.732876252375814, 0.834207881424508,      0.834207881424508, 0.84617550022745, 0.646393168274836, 0.581802643409563,      0.532883444787396, 0.163396016993116, 0.40344417957638, 0.503102516785602,      0.33268573973532, 0.37361464573735, 0.269406334629514, 0.252588085280054,      0.391405491562813, 0.888477780938884), PROX_MRT = c(0.446590670593176,      0.450606800129455, 0.477339162120678, 0.626719191507479,      0.479854345281657, 0.401668294921849, 0.401668294921849,      0.447149108468339, 0.434970780163821, 0.142211914808532,      0.57194553577364, 0.258776848421036, 0.408889372474398, 0.711885268750489,      0.255638745600017, 0.288098631383321, 0.467794692056616,      0.44379796826936, 0.707144761815547, 0.227897729387739),          PROX_PARK = c(1.30043300411079, 1.30417314517193, 1.28136359713013,          1.17683143601381, 1.26891760289394, 1.33915084667526,          1.33915084667526, 1.30601230217613, 0.790688256163915,          0.921087542045637, 0.580004121625521, 0.871860056746433,          0.650146210437373, 0.413960848298732, 0.741691321664553,          0.734858817801552, 0.570592214216024, 0.59965919275643,          0.372450573927522, 0.374132090410645), PROX_GOOD_PRISCH = c(2.81856751915823,          2.87682745937193, 2.72285479219865, 2.53413597667736,          2.57894825178105, 2.67483404440455, 2.67483404440455,          2.67147237000904, 2.86596411907387, 3.16123688190063,          2.75227504535898, 1.99104033276262, 2.95345383530684,          2.66084492380109, 2.08436883673306, 2.10026546945211,          2.99359805566516, 3.04207330950824, 2.73491137460549,          1.93537396204111), PROX_MALL = c(1.4733570331857, 1.52964479685301,          1.40144317349524, 1.33824767405872, 0.985446043286547,          0.977306285381771, 0.977306285381771, 0.894914409230097,          2.02812113432733, 2.25269448786787, 2.11322307221905,          1.10491400246256, 2.20417563031698, 2.0316459728171,          0.757747380414752, 0.712222885156031, 2.09618768409308,          2.10790194839897, 1.94983703099632, 1.9342939090943),          PROX_CHAS = c(0.100781853121145, 0.123680988169118, 0.150676124399865,          0.335243362149438, 0.418063314797021, 0.389404577789016,          0.389404577789016, 0.468632365618207, 0.0418426354504526,          0.169904154790832, 0.1333322783253, 0.197049444171332,          0.102408834624747, 0.279534674537085, 0.152169077912936,          0.19769969897302, 0.229330661012247, 0.261198443001062,          0.293834776478611, 0.147762521806201), PROX_SUPERMARKET = c(0.154588063793208,          0.15284622075069, 0.216512452964216, 0.400791637001426,          0.471666412940503, 0.457775852816324, 0.457775852816324,          0.541263540151477, 0.6226371739075, 0.496146947525001,          0.475213328012689, 0.145490551360364, 0.391977689272912,          0.412975566732202, 0.21094349839638, 0.255985378039003,          0.266710264104055, 0.272257424647181, 0.293834967432244,          0.185503456748824), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 1L, 1L, 0L, 0L, 0L, 0L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,          0L, 1L, 1L, 2L, 3L), WITHIN_350M_CHILDCARE = c(4L, 5L,          4L, 2L, 1L, 1L, 1L, 2L, 3L, 1L, 2L, 3L, 2L, 2L, 0L, 0L,          2L, 3L, 3L, 3L), WITHIN_350M_BUS = c(8L, 9L, 7L, 4L,          3L, 4L, 4L, 4L, 6L, 8L, 6L, 4L, 7L, 6L, 2L, 2L, 7L, 9L,          7L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 2L,          2L, 2L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 3L         ), DNeighbour = c(0, 66.0921549347084, 106.11180075301,          288.359574077673, 492.833057461544, 506.285944004684,          506.904657650852, 600.768807305657, 634.741773353067,          792.763851089821, 799.342032747114, 845.129624484749,          869.607578740637, 930.491978896824, 940.820087156975,          957.80938425207, 1005.75849289223, 1034.07437346431,          1034.86356499034, 1207.60014926749)), row.names = c("187",      "948", "611", "171", "168", "46", "322", "529", "1", "669",      "200", "492", "327", "395", "841", "388", "266", "540", "29",      "809"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994018190533488,      0.984617349191325, 0.88921246356509, 0.694633335247944, 0.679354644747939,      0.678646210519636, 0.566262055149866, 0.523772113232781,      0.323801553815487, 0.315679765510112, 0.260325268001979,      0.2317829763389, 0.165066468073862, 0.15447299800282, 0.137575219063714,      0.0938496272699196, 0.0711509116883575, 0.0705548498030403,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7254301730 
R squared (OOB):                  0.3665158 

$Forests[[188]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(448000, 450000, 415000,      395000, 420000, 405000, 393000, 455000, 430000, 405000, 360000,      410000, 430000, 380000, 380000, 362500, 367000, 412000, 495000,      425000), floor_area_sqm = c(116, 106, 103, 106, 112, 105,      103, 113, 104, 104, 84, 106, 107, 106, 107, 103, 104, 104,      93, 104), storey_order = c(3L, 4L, 3L, 2L, 4L, 3L, 2L, 5L,      2L, 2L, 3L, 2L, 4L, 1L, 2L, 3L, 1L, 2L, 2L, 3L), remaining_lease_mths = c(827,      834, 834, 834, 866, 856, 818, 824, 861, 862, 811, 871, 868,      887, 871, 819, 879, 878, 1131, 871), PROX_CBD = c(15.1039483662242,      15.1256206124729, 15.1256206124729, 15.1256206124729, 15.3605597168545,      15.3605597168545, 14.8805910833212, 14.8805910833212, 15.4019609662575,      15.4019609662575, 14.7472020389823, 15.428944563277, 15.2985874116244,      15.0291078847704, 15.2330821453909, 14.3801998083441, 14.66420827852,      14.1313829663274, 14.1234549986629, 14.0236082538335), PROX_ELDERLYCARE = c(1.55233595008815,      1.5866097118695, 1.5866097118695, 1.5866097118695, 1.7630974884403,      1.7630974884403, 1.53481387371296, 1.53481387371296, 1.7026350967472,      1.7026350967472, 1.19052284520552, 1.63977306379889, 1.41400995500373,      1.09928331705025, 1.22808745848404, 0.709377020411434, 0.719957479461771,      0.836104821253693, 1.35242241046818, 1.09340394122649), PROX_HAWKER = c(0.672854909342646,      0.674198133913936, 0.674198133913936, 0.674198133913936,      0.874437271649647, 0.874437271649647, 0.395563323563994,      0.395563323563994, 0.985391408166863, 0.985391408166863,      0.606039227085063, 1.09717995764468, 1.16406043263713, 1.15922930524208,      1.40985252978436, 0.928921275219278, 1.17971772396452, 0.73352935155883,      0.458626901673037, 0.594999289424802), PROX_MRT = c(0.927742831261867,      0.930587839854138, 0.930587839854138, 0.930587839854138,      1.13238128237287, 1.13238128237287, 0.650195396152393, 0.650195396152393,      1.24252861976923, 1.24252861976923, 0.807097621625513, 1.35104476777798,      1.40304810962874, 1.36685465541241, 1.62235809597188, 1.02650412956774,      1.12495588646837, 0.735653331318593, 0.250036690549804, 0.469886084443941     ), PROX_PARK = c(0.613453702116727, 0.625625874274951, 0.625625874274951,      0.625625874274951, 0.852232892319188, 0.852232892319188,      0.355836862982211, 0.355836862982211, 0.934356673366442,      0.934356673366442, 0.432698189125414, 1.02148060415503, 0.98341166564854,      0.808345234949979, 0.633472210001671, 0.71485218383349, 0.823954351824118,      0.463826523913091, 0.469588575534173, 0.504422356794811),          PROX_GOOD_PRISCH = c(3.51513652285447, 3.54140201350838,          3.54140201350838, 3.54140201350838, 3.77322944876988,          3.77322944876988, 3.33079371618761, 3.33079371618761,          3.78947597459801, 3.78947597459801, 3.13467644284063,          3.79601078940401, 3.64472604970499, 3.36640767040689,          3.56691345353299, 2.72778429145315, 2.99834463762659,          2.52734391167264, 2.69456588548322, 2.51794344218072),          PROX_MALL = c(0.472438990852491, 0.445444903624544, 0.445444903624544,          0.445444903624544, 0.502295694435402, 0.502295694435402,          0.390496575840073, 0.390496575840073, 0.656741946143406,          0.656741946143406, 0.738705771798207, 0.809004632748584,          0.597111778941966, 0.486526360127578, 0.253259472709144,          0.949257633150117, 0.669111824361406, 0.66282583229379,          0.232476208076891, 0.418819234777705), PROX_CHAS = c(0.353464796953762,          0.387886097439527, 0.387886097439527, 0.387886097439527,          0.563239471741591, 0.563239471741591, 0.448788349522024,          0.448788349522024, 0.478794864158343, 0.478794864158343,          0.19051372613691, 0.352996738297868, 0.0911939042613644,          0.228652490110126, 0.210576528602503, 0.453083161817035,          0.38494516455544, 0.528800676490504, 0.147334233235439,          0.151261605672147), PROX_SUPERMARKET = c(0.429218479578941,          0.411626017932148, 0.411626017932148, 0.411626017932148,          0.187279197917694, 0.187279197917694, 0.447693008221967,          0.447693008221967, 0.1489144838969, 0.1489144838969,          0.326764101800336, 0.252078878715955, 0.408284988301129,          0.234691730121176, 0.21397076195142, 0.513065398645433,          0.384052647553184, 0.528799775767506, 0.147334782275979,          0.151260689076964), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 0L, 0L, 2L, 2L, 0L, 0L, 3L, 0L, 2L, 2L, 3L,          0L, 1L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 1L, 3L, 3L, 3L,          3L, 3L, 4L, 4L), WITHIN_350M_BUS = c(7L, 6L, 6L, 6L,          10L, 10L, 5L, 5L, 9L, 9L, 9L, 11L, 13L, 8L, 12L, 2L,          7L, 6L, 13L, 12L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          2L, 1L, 2L), DNeighbour = c(0, 30.8451050624419, 39.5106235626008,          40.6982873795268, 261.042141393429, 265.841860567881,          271.889351438972, 278.302655087418, 321.147788407579,          328.881498202609, 389.485897873676, 428.711410989582,          534.550284020682, 662.841929911839, 851.126260195511,          877.913273343619, 888.757640703357, 983.15172811807,          1080.95121324469, 1100.73293924607)), row.names = c("188",      "457", "233", "483", "782", "994", "639", "852", "495", "406",      "136", "899", "934", "314", "428", "3", "686", "695", "212",      "51"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99843011431619,      0.997424782194354, 0.997267744034658, 0.890680002188079,      0.886744707558491, 0.881697089538759, 0.876236395461897,      0.837000275039857, 0.829425604526056, 0.76526736271491, 0.719624398578857,      0.58394404331862, 0.406248722729011, 0.161689390783223, 0.132408383084665,      0.121150841218475, 0.0408973685883751, 0.0012687739893074,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1282166084 
R squared (OOB):                  -0.09013397 

$Forests[[189]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 325000, 418888,      360000, 333000, 398000, 330000, 376000, 373000, 390000, 388000,      335000, 325000, 389000, 405000, 375000, 369000, 385000, 395000,      360000), floor_area_sqm = c(84, 84, 100, 104, 84, 100, 84,      101, 103, 101, 100, 84, 85, 103, 102, 90, 94, 101, 101, 103     ), storey_order = c(4L, 5L, 2L, 2L, 3L, 2L, 3L, 2L, 1L, 4L,      4L, 2L, 1L, 2L, 3L, 5L, 5L, 3L, 4L, 1L), remaining_lease_mths = c(806,      812, 932, 804, 823, 924, 791, 948, 870, 932, 922, 791, 830,      863, 928, 946, 942, 952, 936, 798), PROX_CBD = c(9.63621863936401,      9.87023127008802, 9.64941173000682, 10.0879656312395, 9.85122377146013,      10.2027088676681, 9.73525531751342, 10.1515839247586, 9.95029435977204,      10.247812625002, 10.3133134299625, 9.13853516155078, 10.1989356004427,      9.90721965789512, 9.51108523911647, 10.5038890156487, 10.5038890156487,      10.5394819073022, 10.5347600839054, 10.1540744969693), PROX_ELDERLYCARE = c(1.48805339077067,      1.35138892750767, 1.9510043332774, 1.31022889057949, 0.999223533815273,      1.63738856945076, 0.869795033999967, 1.93850967877536, 2.09611483432966,      1.89270432318243, 1.4124150938613, 1.86142420062345, 1.08623091115154,      2.17440400131014, 1.80905665624389, 1.64894906385774, 1.64894906385774,      1.55101586165687, 1.31633228018286, 0.85844301108046), PROX_HAWKER = c(0.677896697868769,      0.410023469086153, 0.940071074791988, 0.196699811405185,      0.526313717816828, 0.264427923442986, 0.687117415591119,      0.608980172673109, 0.876506442172381, 0.561647681218514,      0.0623262564011618, 0.823671555860494, 0.368744432216956,      1.08766938871094, 0.978663880778012, 0.53455823354733, 0.53455823354733,      0.463304434183495, 0.259744380023822, 0.614574465644474),          PROX_MRT = c(1.32502198166586, 1.23646610314009, 1.69853939108909,          1.09046737609619, 0.907717901248049, 1.392302848886,          0.86810604264512, 1.73271025710532, 1.8917195123599,          1.63637339364314, 1.09471398918577, 1.58022074581844,          0.78040997284139, 1.9078610258369, 1.99882067476962,          1.36742764633517, 1.36742764633517, 1.31136747445593,          1.15842683571226, 0.544743966599557), PROX_PARK = c(0.202594030185392,          0.375073916060521, 0.624691995850973, 0.604882226694947,          0.510337594738446, 0.728383914708498, 0.452373350223662,          0.464183104254495, 0.516721166595223, 0.443665461164749,          0.826294351272671, 0.533109662164166, 0.808282577864154,          0.551504280527303, 0.674672834209049, 0.486479545769779,          0.486479545769779, 0.594979546415276, 1.00657829367171,          0.578916018382343), PROX_GOOD_PRISCH = c(0.53169554186008,          0.706117631385061, 0.107363170703005, 0.87937610392538,          1.05242409875061, 0.689163418131917, 1.15234422615158,          0.447003801568155, 0.213708578130609, 0.550324531917386,          0.993301788551023, 0.605615063995802, 1.199846441039,          0.299143542468678, 0.439174603441127, 0.819356328881161,          0.819356328881161, 0.89296386953394, 1.12709017589061,          1.40445923276907), PROX_MALL = c(0.564979440463645, 0.445899708163642,          0.625847194134012, 0.441232897113797, 0.756051767526383,          0.12742430838485, 0.907839978504126, 0.217974225134877,          0.493813340134231, 0.190941194230935, 0.450275200033962,          0.925377142856182, 0.663851500718272, 0.701652802220213,          0.994410311642026, 0.3366209001709, 0.3366209001709,          0.357726596913911, 0.464767570965945, 0.685950169481642         ), PROX_CHAS = c(0.204909081807225, 0.0764125853219005,          0.134178633248207, 0.177420148260447, 3.39583191183935e-08,          0.127424254451578, 0.116614388177292, 0.217974279370684,          0.36937911638564, 0.190941257524933, 0.071192987667569,          0.179557542480515, 0.0710453772718398, 0.242250716663617,          0.21913048386411, 0.232134688144963, 0.232134688144963,          0.263233285458842, 0.272565000598528, 0.170954716034814         ), PROX_SUPERMARKET = c(0.145410708854306, 0.158655939798418,          0.344381560072065, 0.320748009942088, 0.350225948243757,          0.129189539659537, 0.458729641056945, 0.216455869736569,          0.359694409353041, 0.19229406714866, 0.330151298165832,          0.223142170833011, 0.00115080458448496, 0.157554225694085,          0.21913043091083, 0.232133828519976, 0.232133828519976,          0.263232243208913, 0.464768447350912, 0.171715993026927         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 3L, 0L, 0L, 0L,          0L, 1L, 2L, 3L, 1L, 2L, 0L, 2L, 2L, 2L, 2L, 2L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 5L, 3L, 5L, 3L, 6L,          2L, 9L, 7L, 10L, 4L, 3L, 4L, 6L, 4L, 5L, 5L, 6L, 1L,          2L), WITHIN_350M_BUS = c(7L, 8L, 8L, 11L, 10L, 13L, 10L,          10L, 12L, 10L, 15L, 11L, 12L, 10L, 7L, 11L, 11L, 15L,          15L, 14L), WITHIN_1KM_PRISCH = c(3L, 5L, 3L, 5L, 4L,          4L, 4L, 4L, 3L, 4L, 4L, 2L, 4L, 2L, 1L, 4L, 4L, 4L, 4L,          5L), DNeighbour = c(0, 292.078420790278, 468.532501888133,          534.414470149966, 558.468884625033, 572.24498683002,          629.820535740841, 632.30729308937, 653.393850081511,          695.785147137216, 736.163823492272, 755.859701570303,          799.955582484184, 818.526296825814, 904.434147143724,          905.586674089843, 910.004247577551, 918.922646221377,          935.329775898725, 954.854398388364)), row.names = c("189",      "755", "459", "292", "129", "771", "921", "366", "780", "667",      "513", "485", "967", "629", "719", "942", "734", "769", "577",      "560"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.821620028655967,      0.57642786314078, 0.471634446746326, 0.432862900202288, 0.410674077572413,      0.31914568948122, 0.315268100934612, 0.282760363847251, 0.219982239630509,      0.164515982567131, 0.139408502908988, 0.0888807633255291,      0.0703114598535806, 0.0105719472281321, 0.0101066733776988,      0.00841532785501033, 0.0054531068518984, 0.00163841880738802,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       335877072 
R squared (OOB):                  0.6101274 

$Forests[[190]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310500, 305000, 319000,      320000, 310000, 280000, 323000, 328000, 323000, 305000, 335000,      325000, 432000, 420000, 410000, 333000, 415000, 365000, 388000,      313000), floor_area_sqm = c(92, 91, 101, 101, 89, 90, 101,      92, 91, 99, 100, 91, 92, 92, 92, 99, 92, 92, 92, 99), storey_order = c(4L,      4L, 4L, 2L, 1L, 3L, 1L, 3L, 2L, 4L, 4L, 2L, 4L, 1L, 2L, 3L,      2L, 1L, 1L, 4L), remaining_lease_mths = c(932, 932, 950,      931, 946, 958, 937, 923, 974, 930, 927, 970, 1123, 1121,      1136, 927, 1125, 1135, 1134, 918), PROX_CBD = c(17.1621565450396,      17.1300558853523, 17.1356331652512, 17.1235753252943, 17.0860498579873,      17.0860498579873, 17.4093430047218, 17.049182232397, 16.9744532057656,      17.5508688704121, 17.5934100264964, 17.7083177660008, 17.7152334804069,      17.7152334804069, 17.7152334804069, 17.6933534103443, 17.7609329148819,      17.8160591469996, 17.8160591469996, 17.8728040148932), PROX_ELDERLYCARE = c(0.588822776266157,      0.650159488421832, 0.585213362825854, 0.697818713768909,      0.634635376150565, 0.634635376150565, 0.347622879353981,      0.850080656271298, 0.669866762803474, 0.169110695114153,      0.183364759720919, 0.378187975507624, 0.0982899037000713,      0.0982899037000713, 0.0982899037000713, 0.174626049595048,      0.0656405943898966, 0.101440000613482, 0.101440000613482,      0.330981516384048), PROX_HAWKER = c(0.776103543372746, 0.747949107581356,      0.905166107754752, 0.705945006380572, 0.984075399620173,      0.984075399620173, 0.646263997619536, 0.714958983882519,      1.16076193719705, 0.736171211400498, 0.860123145519879, 0.340346390827249,      0.815736811633103, 0.815736811633103, 0.815736811633103,      0.89059259132002, 0.769612072642938, 0.755409785256781, 0.755409785256781,      0.446535534086157), PROX_MRT = c(0.827901946736494, 0.826263947198081,      0.689848925621533, 0.782769723074986, 0.610921595420819,      0.610921595420819, 0.722831181419355, 0.785333186388227,      0.434229027914827, 0.804998329325227, 0.675234243169572,      0.403335562748004, 0.674833365376197, 0.674833365376197,      0.674833365376197, 0.606842528225389, 0.714624513867521,      0.729659889526201, 0.729659889526201, 0.4868918768976), PROX_PARK = c(2.12305734030611,      2.21165427538899, 2.00545012030434, 2.27471658155514, 1.98249707589613,      1.98249707589613, 1.92330050908574, 2.39009267562017, 1.94357933186421,      1.71737354643835, 1.60355051242194, 1.86766019581863, 1.52614967260321,      1.52614967260321, 1.52614967260321, 1.49905344652453, 1.52091098886828,      1.49250729308795, 1.49250729308795, 1.69875568186822), PROX_GOOD_PRISCH = c(7.75790588282746,      7.71077701272798, 7.76178719780886, 7.68854504458572, 7.72567604662297,      7.72567604662297, 8.00696366683488, 7.5878538843241, 7.64555391975429,      8.17476856172454, 8.24279341902993, 8.26299778187914, 8.35538963357137,      8.35538963357137, 8.35538963357137, 8.34857469941546, 8.39120163011403,      8.44175881664207, 8.44175881664207, 8.43952013253886), PROX_MALL = c(0.509108711773916,      0.568151229694078, 0.382407895591973, 0.614584601713128,      0.314944256820634, 0.314944256820634, 0.265229996889848,      0.718658142186859, 0.199292924769147, 0.109574351562212,      0.188384425612312, 0.335143296665789, 0.158599011552442,      0.158599011552442, 0.158599011552442, 0.223321337745784,      0.147411017927622, 0.183177100903513, 0.183177100903513,      0.330972758922268), PROX_CHAS = c(0.242301342816858, 0.159798231789153,      0.257714074421561, 0.076148424020495, 0.250499161266826,      0.250499161266826, 0.23105278557526, 0.13498084818294, 0.199292963025488,      0.048268048492383, 0.151781240761386, 0.30242004444134, 0.158598978424062,      0.158598978424062, 0.158598978424062, 0.21485891447712, 0.14741100268466,      0.183177099178452, 0.183177099178452, 0.330972805611547),          PROX_SUPERMARKET = c(0.263452146302603, 0.260386915772359,          0.257714572429151, 0.307215454393191, 0.250499698074938,          0.250499698074938, 0.313773352526138, 0.397684558683682,          0.25551504160041, 0.15801430638391, 0.209139790637019,          0.332189289926598, 0.144345834884574, 0.144345834884574,          0.144345834884574, 0.218378438252518, 0.113022549454425,          0.137568853383185, 0.137568853383185, 0.300218301814749         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 0L, 1L, 1L,          1L, 0L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 5L, 6L, 6L,          7L, 12L, 6L, 7L, 6L, 6L, 6L, 6L, 6L, 5L, 8L, 8L, 8L,          4L), WITHIN_350M_BUS = c(11L, 13L, 11L, 11L, 11L, 11L,          13L, 8L, 13L, 12L, 12L, 7L, 12L, 12L, 12L, 13L, 10L,          15L, 15L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 4L, 5L, 2L, 4L, 6L, 8L, 5L, 7L, 7L, 7L, 8L, 6L, 6L,          6L, 7L), DNeighbour = c(0, 82.3064163988072, 156.713228282739,          171.06209517437, 229.785198910324, 236.153845338281,          247.845721472788, 339.710294073096, 398.767579011971,          437.546821424708, 541.745290724981, 574.048252802023,          622.754495042463, 624.38735384036, 625.460874720136,          639.258341501302, 649.399720529295, 685.631649103741,          691.205350938291, 715.335214676943)), row.names = c("190",      "170", "99", "871", "685", "704", "174", "520", "902", "438",      "419", "544", "298", "289", "13", "112", "365", "402", "53",      "992"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.973697692624184,      0.906314338954378, 0.88889857532785, 0.804273597072944, 0.793905894666937,      0.774321013100878, 0.59980870004518, 0.475056354076924, 0.391705360996717,      0.181859833144355, 0.126744740713806, 0.058610192230246,      0.0566991180499657, 0.0554572687085273, 0.0405587814961529,      0.0309240757314097, 0.00661354747133874, 0.00439922163530776,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1487536385 
R squared (OOB):                  0.2668858 

$Forests[[191]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(640000, 720000, 705000,      640000, 350000, 450000, 440000, 435000, 345000, 516000, 375000,      548000, 420000, 588000, 439000, 335000, 370000, 430000, 408000,      670000), floor_area_sqm = c(90, 91, 91, 91, 92, 92, 92, 98,      92, 98, 92, 95, 91, 95, 97, 91, 92, 93, 91, 94), storey_order = c(1L,      3L, 3L, 3L, 1L, 1L, 3L, 1L, 1L, 3L, 2L, 2L, 1L, 3L, 3L, 3L,      4L, 3L, 3L, 6L), remaining_lease_mths = c(1095, 1079, 1097,      992, 714, 679, 677, 692, 695, 698, 695, 981, 742, 1025, 669,      754, 699, 728, 674, 1104), PROX_CBD = c(9.29204667907952,      9.2692311101123, 9.2692311101123, 9.30017281297198, 9.56457497404925,      8.7589377611275, 8.7589377611275, 8.85689554561162, 8.46158045860266,      8.70928269501252, 8.4016901584654, 8.37940280964872, 8.31995738049774,      8.51090417959469, 8.73211086874077, 8.32334928378694, 8.34406204250889,      8.20083785223568, 8.96374942103709, 8.58683984966127), PROX_ELDERLYCARE = c(0.771441336950035,      0.751834464907999, 0.751834464907999, 0.677643973897152,      1.08567795373645, 0.169235371196244, 0.169235371196244, 0.272187629818594,      0.0854535518544851, 0.119444653145476, 0.150390524199432,      0.335901694998922, 0.259768432786295, 0.120425912751251,      0.292319821872094, 0.163895949541214, 0.224798473876808,      0.41240614163537, 0.267188539522683, 0.203840329735754),          PROX_HAWKER = c(0.172288624542473, 0.13065395668809,          0.13065395668809, 0.445284816601654, 0.44425153291851,          0.330091511745513, 0.330091511745513, 0.446318851105742,          0.266645682444034, 0.281172749103646, 0.205000896629144,          0.203869560106314, 0.387410687724852, 0.166697492306482,          0.436547444862961, 0.1672780527947, 0.308707066729857,          0.35604829505958, 0.393731145214296, 0.433030813326955         ), PROX_MRT = c(0.459210746913958, 0.513894886157587,          0.513894886157587, 0.258716275079725, 1.06652131186481,          0.338391484905848, 0.338391484905848, 0.372678744867538,          0.681495718287031, 0.379410256905797, 0.747297636603152,          0.62312262100292, 0.705543842504761, 0.608243230971526,          0.600073719023998, 1.03738004469153, 1.14033242259394,          0.805467939952349, 0.71987240697712, 0.751078096441513         ), PROX_PARK = c(0.354651430366215, 0.421166514654472,          0.421166514654472, 0.166211588513849, 0.829152657918636,          0.469340752260783, 0.469340752260783, 0.479885299937475,          0.773425606080498, 0.513364518506117, 0.784786352249359,          0.394842599629624, 0.517920409018535, 0.368529270986479,          0.617507126900098, 0.839050716088865, 0.748901820021747,          0.393072899865764, 0.60552725382935, 0.52118662053352         ), PROX_GOOD_PRISCH = c(2.10961489740732, 2.13343245969583,          2.13343245969583, 1.82000438656186, 1.87441197950121,          1.40615721612308, 1.40615721612308, 1.47413984574199,          1.4534383809239, 1.35677240305411, 1.42922442943649,          1.14854892992093, 1.20021801549651, 1.13331232297991,          1.31940815963163, 1.6197212814627, 1.74338078296013,          1.04754826657838, 1.13785719900195, 1.16640042723588),          PROX_MALL = c(0.591682371404957, 0.655923636590071, 0.655923636590071,          0.302826744416793, 1.18499732413142, 0.264395031718586,          0.264395031718586, 0.241772845363545, 0.793630348518112,          0.313890580083005, 0.856591768216477, 0.651389947232486,          0.768764019555169, 0.540250505232014, 0.469553394647833,          0.952850965311535, 0.813314037197816, 0.844084234929545,          0.480317195978648, 0.632538285087724), PROX_CHAS = c(0.116738661463474,          0.0970531700661786, 0.0970531700661786, 0.258750733988333,          0.358325278319411, 0.0806835690144568, 0.0806835690144568,          0.157458356405151, 0.161491876005888, 0.112175615725657,          0.14998683096932, 0.11938167830482, 0.1066489590073,          0.0869956868442428, 0.0664211666443358, 0.218034921212892,          0.347263729641395, 0.0460460495231756, 0.143131544605207,          0.237191200694799), PROX_SUPERMARKET = c(0.110756393825321,          0.098601858754749, 0.098601858754749, 0.378001630838772,          0.418420374852224, 0.24726445439454, 0.24726445439454,          0.224853982916395, 0.128302570008396, 0.221335227738319,          0.194600933367586, 0.282093113359979, 0.284909088626731,          0.0869967242830128, 0.350370254212894, 0.502751024921131,          0.624544400837596, 0.436961702644775, 0.181164390242962,          0.35437102597818), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          1L, 0L, 1L, 2L, 2L, 2L, 0L, 2L, 0L, 1L, 1L, 2L, 1L, 1L,          1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(5L, 4L, 4L,          3L, 2L, 8L, 8L, 7L, 3L, 7L, 3L, 4L, 3L, 6L, 6L, 1L, 1L,          2L, 4L, 5L), WITHIN_350M_BUS = c(7L, 10L, 10L, 9L, 4L,          6L, 6L, 7L, 7L, 6L, 7L, 6L, 7L, 5L, 7L, 4L, 5L, 7L, 6L,          4L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L, 3L, 3L,          3L, 3L, 4L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 2L),          DNeighbour = c(0, 80.6708607017198, 89.8233215707722,          285.25237656449, 620.694879988487, 793.246825108221,          794.806016890462, 829.336543801151, 830.313192084674,          834.696873671262, 890.243338440678, 977.59214022104,          981.721417419927, 1053.25361121746, 1059.35799676047,          1066.61661004627, 1116.40262905496, 1122.78474520099,          1162.30987771255, 1204.72464879848)), row.names = c("191",      "306", "642", "973", "197", "194", "386", "397", "676", "446",      "682", "998", "716", "94", "842", "713", "204", "79", "692",      "149"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.991052266908286,      0.988912750873176, 0.891015447397391, 0.539565494811391,      0.320863451122489, 0.318933596857259, 0.27678200907782, 0.275608147849947,      0.270353166538475, 0.206059802010947, 0.11663878795342, 0.112862240001679,      0.0555325387733656, 0.0514236552501982, 0.0467144791740697,      0.0199519207051844, 0.0172672269742094, 0.00478511363660611,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5144542869 
R squared (OOB):                  0.6819864 

$Forests[[192]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(5e+05, 537000, 475000,      476000, 510000, 407000, 620000, 375000, 355000, 680000, 685000,      753000, 680000, 8e+05, 748000, 945500, 912000, 7e+05, 755000,      1056800), floor_area_sqm = c(103, 106, 103, 103, 93, 82,      103, 82, 82, 91, 93, 87, 85, 90, 107, 87, 87, 93, 90, 95),          storey_order = c(1L, 4L, 2L, 2L, 4L, 5L, 2L, 3L, 2L,          3L, 4L, 5L, 2L, 7L, 2L, 8L, 3L, 1L, 2L, 16L), remaining_lease_mths = c(773,          760, 781, 774, 746, 661, 911, 645, 656, 984, 1115, 1104,          1066, 1063, 899, 1143, 1142, 625, 983, 1081), PROX_CBD = c(3.24578829573265,          3.12641734116327, 3.09516181063763, 3.09516181063763,          3.46549777590634, 3.63085360417079, 2.86182045335715,          3.68559345068932, 3.73116287154914, 2.86455481676114,          2.56060478168524, 2.5775653440094, 2.96405104980333,          2.97610984462207, 2.52364731081334, 2.51922626320824,          2.51922626320824, 2.09358084499411, 2.01305703462688,          1.77209924777956), PROX_ELDERLYCARE = c(0.461566734593474,          0.570344367187993, 0.614909460801077, 0.614909460801077,          0.22080460703487, 0.233260955843543, 0.334062202372697,          0.466665237090727, 0.501456868829436, 0.111411798512938,          0.303984777605612, 0.283170941801308, 0.206690358794928,          0.249991250520312, 0.132133546591398, 1.25853619714168e-06,          1.25853619714168e-06, 0.442569764285143, 0.301111196915018,          0.140516738363648), PROX_HAWKER = c(0.461305554076076,          0.582032517556358, 0.524942013349153, 0.524942013349153,          0.288924403117312, 0.0974836441417274, 0.231089093207534,          0.28293755865871, 0.311969910328466, 0.302651224916382,          0.450094806637729, 0.447120961378381, 0.344572110572533,          0.405863058813757, 0.315417458803045, 0.187177165934232,          0.187177165934232, 0.103399879312882, 0.439754799726314,          0.23052169920376), PROX_MRT = c(1.11057161001852, 1.19588154804183,          1.19880844528061, 1.19880844528061, 0.855873415641472,          0.897060452829867, 0.819080841065402, 1.17490863944549,          1.10221151459309, 0.391395986196982, 0.546591463865751,          0.499107329029013, 0.377919714857806, 0.337225216160626,          0.277076743329557, 0.243725266054354, 0.243725266054354,          0.681532284353367, 0.650763936895186, 0.454819638815125         ), PROX_PARK = c(0.856773721705297, 0.971029675538415,          0.971409228458194, 0.971409228458194, 0.78484111030831,          0.512523364266062, 0.609617368578913, 0.304435062988112,          0.271761978726623, 0.399002951856213, 0.21329655328302,          0.18481391877062, 0.495024008458079, 0.4671588721782,          0.163253442595557, 0.28862748451296, 0.28862748451296,          0.400473707610266, 0.806729342800227, 0.568364566172339         ), PROX_GOOD_PRISCH = c(5.51078547454581, 5.52416256345089,          5.46565510857314, 5.46565510857314, 5.67094725420518,          5.4842432173218, 5.1514664212482, 5.15997579188296, 5.22570836776045,          4.71207116352008, 4.93746215949662, 4.89009258041755,          4.62297298452196, 4.56048774292729, 4.61812725480087,          4.50145006484821, 4.50145006484821, 4.81109980295855,          6.32589195448141, 6.2014068010071), PROX_MALL = c(1.33172083977874,          1.29251563056945, 1.2281628510896, 1.2281628510896, 1.56665946009711,          1.51733094855201, 0.848351644608041, 1.3376464242075,          1.41171259857663, 0.420489734799516, 0.572150632107275,          0.524781909718914, 0.404565296260845, 0.362094853274792,          0.290995843291254, 0.244046547559164, 0.244046547559164,          0.685370188976197, 0.368960166061844, 0.293469301127063         ), PROX_CHAS = c(0.0869328465249217, 0.202999736112437,          0.240903750709302, 0.240903750709302, 0.173647795570322,          0.318203164684035, 0.159666076311523, 0.216565147674259,          0.261237260735983, 0.110042750971165, 0.0640474788759872,          0.0301364724824846, 0.0506108453744785, 0.111500209373212,          0.0122221533760307, 0.0462846720247782, 0.0462846720247782,          0.165994533154508, 0.298496878246672, 0.116110892529562         ), PROX_SUPERMARKET = c(0.0869315055470345, 0.202998478162502,          0.240902416159861, 0.240902416159861, 0.173649067116538,          0.318204198369299, 0.360029455717415, 0.252487697752149,          0.301923436189205, 0.110042446678578, 0.315915165677582,          0.275738565320567, 0.0506107476035619, 0.111500172768761,          0.0373112013983995, 0.169442491353445, 0.169442491353445,          0.346795592234613, 0.364789845186166, 0.203860721712114         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L, 2L, 1L, 1L,          3L, 3L, 3L, 4L, 4L, 4L, 3L, 3L, 6L, 4L, 4L, 4L, 4L, 7L         ), WITHIN_350M_BUS = c(6L, 5L, 4L, 4L, 9L, 11L, 4L, 10L,          9L, 7L, 3L, 3L, 7L, 4L, 6L, 4L, 4L, 7L, 10L, 10L), WITHIN_1KM_PRISCH = c(2L,          2L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 4L, 3L, 2L, 4L, 3L, 2L,          2L, 2L, 1L, 1L, 1L), DNeighbour = c(0, 117.841664946318,          148.07371363242, 151.030416216185, 260.948045660557,          399.581832395229, 519.454171558225, 590.79051754417,          593.322796863638, 909.125344361883, 917.451057998688,          942.572390295788, 952.422266914408, 1012.61994994255,          1237.47403485904, 1355.44385183881, 1358.98263022842,          1465.29074539597, 1595.00206276125, 1704.24006321846)), row.names = c("192",      "48", "134", "126", "454", "742", "561", "683", "432", "968",      "390", "999", "389", "319", "65", "816", "550", "824", "567",      "509"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.990460475475637,      0.984958815903951, 0.98435453215564, 0.953660056115794, 0.893075913669764,      0.822823726577821, 0.77409623736679, 0.772280655107606, 0.511843014459161,      0.504378457724961, 0.481786141856529, 0.472906014030085,      0.418549349416387, 0.223499379730687, 0.135012370611904,      0.132592858686333, 0.0679952325197316, 0.0153975910156423,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12217969508 
R squared (OOB):                  0.6771502 

$Forests[[193]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(270000, 250000, 255000,      275000, 265000, 245000, 359900, 355000, 370000, 3e+05, 298000,      303888, 330000, 350000, 303000, 279000, 297000, 325000, 305000,      316000), floor_area_sqm = c(97, 97, 91, 98, 91, 88, 93, 93,      93, 96, 93, 93, 103, 103, 92, 91, 91, 91, 91, 92), storey_order = c(2L,      4L, 4L, 4L, 2L, 2L, 3L, 3L, 5L, 4L, 1L, 2L, 2L, 4L, 1L, 2L,      3L, 4L, 4L, 3L), remaining_lease_mths = c(687, 708, 686,      689, 724, 668, 1117, 1111, 1106, 791, 777, 782, 773, 768,      794, 801, 788, 780, 791, 781), PROX_CBD = c(19.1998859465191,      19.2477081153014, 19.1428796063974, 19.3611499271018, 19.4237844042343,      18.8842060529579, 18.8127816342995, 18.8127816342995, 18.8127816342995,      18.5761736305699, 18.5252470382495, 18.5252470382495, 18.4499801912104,      18.3186881593276, 18.2139172788048, 18.2989051402725, 18.1476771148045,      18.1476771148045, 18.2610111258248, 18.2234963781047), PROX_ELDERLYCARE = c(0.482976337773198,      0.533620939869422, 0.457204003422965, 0.67405856369397, 0.695760303539868,      0.229103995883471, 0.176499517448139, 0.176499517448139,      0.176499517448139, 0.0638277150498875, 0.449194476018676,      0.449194476018676, 0.504778052376495, 0.586525817031338,      0.649170232100017, 0.397078044127006, 0.519546459890619,      0.519546459890619, 0.421521882373529, 0.448333702611612),          PROX_HAWKER = c(0.407382567332432, 0.435575948420033,          0.491246203286744, 0.578426076793613, 0.430278742731878,          0.280513302960552, 0.325560722493799, 0.325560722493799,          0.325560722493799, 0.562029876499453, 0.69553534809229,          0.69553534809229, 0.652207052169444, 0.564283191409187,          0.488031980714328, 0.491047773869601, 0.209390724873544,          0.209390724873544, 0.453171307776496, 0.416527045274471         ), PROX_MRT = c(1.13705578024219, 1.17336842789895, 1.0490560030484,          1.24242318119045, 1.37619150821735, 1.03601464731326,          1.04083770509984, 1.04083770509984, 1.04083770509984,          0.874368880716004, 0.398456142880405, 0.398456142880405,          0.322534237265928, 0.220618943711049, 0.192826481399443,          0.552168886353884, 0.491311596778589, 0.491311596778589,          0.547550551918807, 0.545975779093886), PROX_PARK = c(0.708199402424467,          0.715290586226954, 0.602588748705797, 0.694921724836528,          0.899998771522662, 0.579556587207627, 0.51923222906617,          0.51923222906617, 0.51923222906617, 0.287868908027907,          0.491317901173298, 0.491317901173298, 0.536975621309476,          0.548488124002706, 0.532358306258428, 0.287159802467115,          0.270911567278729, 0.270911567278729, 0.272660801967067,          0.264257474455249), PROX_GOOD_PRISCH = c(10.205087741046,          10.2559210914134, 10.1724586401982, 10.393420977377,          10.4013344251086, 9.83133063879426, 9.7422556358987,          9.7422556358987, 9.7422556358987, 9.51590189269927, 9.63394268044443,          9.63394268044443, 9.56762880935522, 9.44179125712709,          9.33501569353139, 9.19982386356694, 9.18618174729203,          9.18618174729203, 9.16752282736586, 9.1355701416359),          PROX_MALL = c(1.23204265332191, 1.28177138580973, 1.19002137667581,          1.41164243574585, 1.44800971701603, 0.91348864249693,          0.856774663098642, 0.856774663098642, 0.856774663098642,          0.624506085881379, 0.705200807731176, 0.705200807731176,          0.662291407978718, 0.574856358668165, 0.498813518897969,          0.486326630506135, 0.218975149940797, 0.218975149940797,          0.448092738738542, 0.411037179701155), PROX_CHAS = c(0.377747950290313,          0.34509608786971, 0.472048134528426, 0.346579909600863,          0.141128343720225, 0.241229981070425, 0.2593611752042,          0.2593611752042, 0.2593611752042, 0.0792988689034794,          0.240425442805127, 0.240425442805127, 0.201478871858691,          0.141159289664064, 0.0363398547195702, 0.0660681856594747,          0.218975205360203, 0.218975205360203, 0.0964740211655948,          0.132763801624598), PROX_SUPERMARKET = c(1.12464344461301,          1.16090501353567, 1.03656246660954, 1.22987785443232,          1.36375821567757, 0.911876453557648, 0.856773769273042,          0.856773769273042, 0.856773769273042, 0.625539331690589,          0.386130046709882, 0.386130046709882, 0.310351384739933,          0.210011389308567, 0.186956242757619, 0.490326509583637,          0.206881250620068, 0.206881250620068, 0.457654559995222,          0.421116980529575), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 0L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 4L, 5L, 2L,          3L, 3L, 2L, 2L), WITHIN_350M_BUS = c(10L, 9L, 6L, 8L,          6L, 13L, 16L, 16L, 16L, 10L, 8L, 8L, 9L, 10L, 9L, 6L,          7L, 7L, 6L, 6L), WITHIN_1KM_PRISCH = c(1L, 0L, 1L, 0L,          0L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 3L,          4L, 4L), DNeighbour = c(0, 44.1943190305349, 105.180764953902,          203.406606942988, 241.185457425588, 418.261039865817,          526.056747382962, 529.385816181755, 534.175906681675,          712.293303385713, 739.047989383507, 741.599655619057,          813.802737486982, 934.337283212342, 1026.81506870422,          1048.22301939818, 1054.0924081601, 1059.80470380799,          1073.47329056069, 1095.75683239472)), row.names = c("193",      "981", "484", "972", "2", "96", "604", "418", "637", "78",      "11", "106", "810", "367", "481", "433", "827", "944", "905",      "202"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996749268203832,      0.981657063121912, 0.932269565790076, 0.905451631653257,      0.729824535192418, 0.592158113800379, 0.587662890484759,      0.581175521410226, 0.333435870106761, 0.29713290439185, 0.293712343984286,      0.201078892952822, 0.0744882644803132, 0.0148536385354746,      0.00720426960136686, 0.00556531860156363, 0.00416594295195182,      0.00162077580530064, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       575137706 
R squared (OOB):                  0.587061 

$Forests[[194]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 440000, 516000,      435000, 588000, 439000, 670000, 548000, 408000, 410000, 420000,      640000, 430000, 345000, 5e+05, 565000, 648000, 375000, 640000,      448000), floor_area_sqm = c(92, 92, 98, 98, 95, 97, 94, 95,      91, 97, 91, 91, 93, 92, 105, 103, 116, 92, 90, 105), storey_order = c(1L,      3L, 3L, 1L, 3L, 3L, 6L, 2L, 3L, 4L, 1L, 3L, 3L, 1L, 2L, 4L,      4L, 2L, 1L, 1L), remaining_lease_mths = c(679, 677, 698,      692, 1025, 669, 1104, 981, 674, 665, 742, 992, 728, 695,      857, 852, 871, 695, 1095, 866), PROX_CBD = c(8.7589377611275,      8.7589377611275, 8.70928269501252, 8.85689554561162, 8.51090417959469,      8.73211086874077, 8.58683984966127, 8.37940280964872, 8.96374942103709,      8.66747718420982, 8.31995738049774, 9.30017281297198, 8.20083785223568,      8.46158045860266, 8.19182633034048, 8.19182633034048, 8.27332873959955,      8.4016901584654, 9.29204667907952, 8.05276498978228), PROX_ELDERLYCARE = c(0.169235371196244,      0.169235371196244, 0.119444653145476, 0.272187629818594,      0.120425912751251, 0.292319821872094, 0.203840329735754,      0.335901694998922, 0.267188539522683, 0.0441159965049124,      0.259768432786295, 0.677643973897152, 0.41240614163537, 0.0854535518544851,      0.444818640633349, 0.444818640633349, 0.354571010374291,      0.150390524199432, 0.771441336950035, 0.599632276485302),          PROX_HAWKER = c(0.330091511745513, 0.330091511745513,          0.281172749103646, 0.446318851105742, 0.166697492306482,          0.436547444862961, 0.433030813326955, 0.203869560106314,          0.393731145214296, 0.357845486047337, 0.387410687724852,          0.445284816601654, 0.35604829505958, 0.266645682444034,          0.553760551741158, 0.553760551741158, 0.610975272844239,          0.205000896629144, 0.172288624542473, 0.560005371648267         ), PROX_MRT = c(0.338391484905848, 0.338391484905848,          0.379410256905797, 0.372678744867538, 0.608243230971526,          0.600073719023998, 0.751078096441513, 0.62312262100292,          0.71987240697712, 0.874328108605637, 0.705543842504761,          0.258716275079725, 0.805467939952349, 0.681495718287031,          1.08457427678223, 1.08457427678223, 1.0936063211659,          0.747297636603152, 0.459210746913958, 1.12051759514643         ), PROX_PARK = c(0.469340752260783, 0.469340752260783,          0.513364518506117, 0.479885299937475, 0.368529270986479,          0.617507126900098, 0.52118662053352, 0.394842599629624,          0.60552725382935, 0.691303172853456, 0.517920409018535,          0.166211588513849, 0.393072899865764, 0.773425606080498,          0.374102285306053, 0.374102285306053, 0.477465658778908,          0.784786352249359, 0.354651430366215, 0.30128672956265         ), PROX_GOOD_PRISCH = c(1.40615721612308, 1.40615721612308,          1.35677240305411, 1.47413984574199, 1.13331232297991,          1.31940815963163, 1.16640042723588, 1.14854892992093,          1.13785719900195, 1.23754792076915, 1.20021801549651,          1.82000438656186, 1.04754826657838, 1.4534383809239,          0.769163347741007, 0.769163347741007, 0.856939381531897,          1.42922442943649, 2.10961489740732, 0.631981624625733         ), PROX_MALL = c(0.264395031718586, 0.264395031718586,          0.313890580083005, 0.241772845363545, 0.540250505232014,          0.469553394647833, 0.632538285087724, 0.651389947232486,          0.480317195978648, 0.740457696387364, 0.768764019555169,          0.302826744416793, 0.844084234929545, 0.793630348518112,          0.997182626507123, 0.997182626507123, 0.991200103712322,          0.856591768216477, 0.591682371404957, 1.07178760783233         ), PROX_CHAS = c(0.0806835690144568, 0.0806835690144568,          0.112175615725657, 0.157458356405151, 0.0869956868442428,          0.0664211666443358, 0.237191200694799, 0.11938167830482,          0.143131544605207, 0.34300149800099, 0.1066489590073,          0.258750733988333, 0.0460460495231756, 0.161491876005888,          0.311461966699573, 0.311461966699573, 0.413431749899638,          0.14998683096932, 0.116738661463474, 0.167974733321899         ), PROX_SUPERMARKET = c(0.24726445439454, 0.24726445439454,          0.221335227738319, 0.224853982916395, 0.0869967242830128,          0.350370254212894, 0.35437102597818, 0.282093113359979,          0.181164390242962, 0.158725757407685, 0.284909088626731,          0.378001630838772, 0.436961702644775, 0.128302570008396,          0.485938543293979, 0.485938543293979, 0.502190497784501,          0.194600933367586, 0.110756393825321, 0.372458117254617         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 1L,          1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 3L         ), WITHIN_350M_CHILDCARE = c(8L, 8L, 7L, 7L, 6L, 6L,          5L, 4L, 4L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 4L, 3L, 5L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 6L, 7L, 5L, 7L, 4L, 6L,          6L, 5L, 7L, 9L, 7L, 7L, 7L, 7L, 8L, 7L, 7L, 5L), WITHIN_1KM_PRISCH = c(3L,          3L, 4L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 2L,          2L, 2L, 3L, 2L, 1L), DNeighbour = c(0, 4.19893218391986,          57.6802961361166, 140.04755645977, 278.534755748536,          300.253888434964, 419.18233090559, 446.742475256302,          542.093522397312, 579.493070669763, 600.263051689131,          623.490310613362, 642.750956031643, 705.762864649996,          745.235613860759, 752.25412186788, 753.741673369131,          759.159908504019, 793.246825108221, 811.53917471566)), row.names = c("194",      "386", "446", "397", "94", "842", "149", "998", "692", "331",      "716", "973", "79", "676", "674", "128", "795", "682", "191",      "635"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999946459438008,      0.989922155938004, 0.941325863765188, 0.778279462403898,      0.744966174225685, 0.537581219036624, 0.48575756300252, 0.306694563200827,      0.240206636119133, 0.205121227439272, 0.167890113236813,      0.138914767865614, 0.0593858467096762, 0.0245633348974621,      0.0198157795010545, 0.018869687790414, 0.0156051103703247,      0.00198671368860432, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8229152993 
R squared (OOB):                  0.1702535 

$Forests[[195]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(368888, 350000, 368000,      385000, 390000, 375000, 340000, 4e+05, 370000, 395000, 380000,      350000, 350000, 412000, 390000, 350000, 377000, 390000, 420000,      380000), floor_area_sqm = c(92, 92, 92, 92, 93, 92, 92, 96,      92, 93, 93, 92, 93, 92, 92, 104, 92, 92, 92, 92), storey_order = c(2L,      1L, 2L, 3L, 3L, 1L, 2L, 2L, 1L, 4L, 3L, 1L, 1L, 3L, 4L, 3L,      2L, 2L, 4L, 2L), remaining_lease_mths = c(1102, 1111, 1100,      1132, 1113, 1139, 1133, 1098, 1090, 1108, 1110, 1131, 1111,      1128, 1142, 812, 1135, 1128, 1133, 1142), PROX_CBD = c(14.8482953663728,      14.8482953663728, 14.9752079088984, 14.9536689261967, 14.6879879340018,      14.8395197777251, 14.8395197777251, 15.0414874321427, 15.0414874321427,      14.6649260398624, 14.607628567626, 14.6346875310408, 14.6221320584002,      14.5596883563906, 14.5596883563906, 14.8739209120931, 14.5662038835035,      14.5136499050456, 14.7615340778399, 14.4940333615496), PROX_ELDERLYCARE = c(0.157028625587627,      0.157028625587627, 0.199763345782594, 1.13414610370389e-06,      0.267910637295867, 0.143171284390361, 0.143171284390361,      0.180026828914976, 0.180026828914976, 0.374463671675583,      0.363539264939185, 0.318998242024868, 0.410896008057539,      0.399519357429504, 0.399519357429504, 0.224374856243457,      0.396119369193007, 0.440212280139716, 0.301679225956583,      0.500918112427577), PROX_HAWKER = c(0.332945546865787, 0.332945546865787,      0.202333554334061, 0.283688306330561, 0.507741768149319,      0.426817039061835, 0.426817039061835, 0.135868389364205,      0.135868389364205, 0.515424723672587, 0.571839614015762,      0.567748890704442, 0.55845452984231, 0.625641729464286, 0.625641729464286,      0.490895901627697, 0.661743266121302, 0.681591249319273,      0.582527401679673, 0.682637638745144), PROX_MRT = c(1.41585626072206,      1.41585626072206, 1.27457972333389, 1.45204946878565, 1.51619569366002,      1.58589972239689, 1.58589972239689, 1.27219969611937, 1.27219969611937,      1.31347134818138, 1.42703012637354, 1.53691575721219, 1.30119397664661,      1.46473462254762, 1.46473462254762, 1.67344316225132, 1.61118001364451,      1.51230084146916, 1.75082728996661, 1.32800225952209), PROX_PARK = c(0.40224168015695,      0.40224168015695, 0.259935562114549, 0.447466290733612, 0.573128508978659,      0.573834160005083, 0.573834160005083, 0.270313948020077,      0.270313948020077, 0.48594234877488, 0.592644125813336, 0.633519966923,      0.524601749565547, 0.656743209310805, 0.656743209310805,      0.671840643384197, 0.741043428920938, 0.723946747094916,      0.739209778966795, 0.65941869562705), PROX_GOOD_PRISCH = c(5.51627049340211,      5.51627049340211, 5.6171537261999, 5.64958645026222, 5.38500296681299,      5.56483468018996, 5.56483468018996, 5.69200203864946, 5.69200203864946,      5.30673314037113, 5.28617698570013, 5.34297669438126, 5.26427170666348,      5.25302892838613, 5.25302892838613, 5.63420261242257, 5.30307595814772,      5.22451833965112, 5.53447364393692, 5.15263130971644), PROX_MALL = c(0.649229394533883,      0.649229394533883, 0.689421511186311, 0.806257336881612,      0.626246838364162, 0.805396060532061, 0.805396060532061,      0.767711199656331, 0.767711199656331, 0.439421746266814,      0.523782484457491, 0.633302242537752, 0.412850725186958,      0.550646738699849, 0.550646738699849, 0.927972955155417,      0.69438942428714, 0.591658790399046, 0.897398400321744, 0.407798057490129     ), PROX_CHAS = c(0.274130336331615, 0.274130336331615, 0.230775629929228,      0.14456617920399, 0.160113448728027, 0.204546662914522, 0.204546662914522,      0.163757574589084, 0.163757574589084, 0.0969357032130768,      0.198893245072118, 0.120955806912261, 0.0938393111767789,      0.19650938121062, 0.19650938121062, 0.25243947150411, 0.0799578054615725,      0.179710137259641, 0.166975848000366, 0.0559452214520875),          PROX_SUPERMARKET = c(0.296829834724774, 0.296829834724774,          0.264202614673064, 0.16127040484797, 0.300165340388346,          0.280088374069707, 0.280088374069707, 0.197268674737732,          0.197268674737732, 0.0969351949685631, 0.223766299699327,          0.327836032489634, 0.0938384818523742, 0.27843134046436,          0.27843134046436, 0.298947211163532, 0.41943325951703,          0.343491998264143, 0.408349928269047, 0.202112654374605         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 4L, 7L, 6L, 5L,          5L, 4L, 4L, 6L, 4L, 6L, 6L, 3L, 3L, 3L, 3L, 4L, 3L, 4L         ), WITHIN_350M_BUS = c(9L, 9L, 9L, 6L, 7L, 5L, 5L, 9L,          9L, 8L, 7L, 8L, 9L, 7L, 7L, 6L, 6L, 6L, 4L, 9L), WITHIN_1KM_PRISCH = c(4L,          4L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,          3L, 3L, 4L, 3L, 3L), DNeighbour = c(0, 3.35418398609177,          158.995363503303, 159.403116618319, 175.495210124155,          197.405324344247, 198.066734795209, 204.105257212857,          205.78482595193, 222.427476366781, 237.075752116032,          240.77084279151, 257.681579578075, 292.002302151024,          292.452393114483, 321.343835691277, 340.069996772067,          347.330238692664, 352.567987353386, 358.259196759977)), row.names = c("195",      "762", "558", "139", "469", "152", "543", "632", "793", "17",      "452", "583", "324", "961", "163", "602", "368", "706", "620",      "702"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999824696725772,      0.64487601774265, 0.64325245872586, 0.577663332895657, 0.484952258467846,      0.482118024406697, 0.456200323015243, 0.448983427467307,      0.377656295962524, 0.31595115816781, 0.300675090389715, 0.232965282580587,      0.112680520483579, 0.111308745070974, 0.0382063426188739,      0.00979395717373947, 0.00360970962238935, 0.00099345407655822,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       561126116 
R squared (OOB):                  -0.1844989 

$Forests[[196]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 365000, 415000,      345000, 320000, 292000, 385000, 350000, 370000, 343000, 295000,      325000, 310000, 333000, 345000, 345000, 290000, 390000, 3e+05,      335000), floor_area_sqm = c(106, 104, 104, 114, 106, 104,      104, 104, 103, 102, 105, 104, 104, 108, 103, 104, 92, 126,      99, 114), storey_order = c(1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L,      4L, 5L, 1L, 1L, 1L, 4L, 5L, 4L, 4L, 2L, 1L, 3L), remaining_lease_mths = c(825,      828, 875, 839, 851, 828, 863, 863, 881, 935, 870, 872, 879,      895, 944, 862, 690, 879, 697, 904), PROX_CBD = c(15.6983328737326,      15.6198573118901, 15.8781143296649, 15.4582319270764, 15.9983120826665,      15.1374510187917, 16.2492480828887, 15.9139497277605, 15.9139497277605,      15.6558233565228, 16.027241877126, 15.9652370890998, 15.9652370890998,      16.5397910410307, 15.6615925135045, 16.2035530975804, 14.8961777358487,      16.1769042321823, 14.8036441916204, 16.3642048862006), PROX_ELDERLYCARE = c(0.587171684565488,      0.497975502399054, 0.633288957745621, 0.319622441582349,      0.541237256511776, 0.426629771798313, 0.836071823435323,      0.471057675436291, 0.471057675436291, 0.268146833149962,      0.401697186037664, 0.372962984236141, 0.372962984236141,      0.706939892416911, 0.372854461013726, 0.462412199513001,      0.090689252710872, 0.382017171357745, 0.0965145667339982,      0.361422596457277), PROX_HAWKER = c(1.64071314431986, 1.6566914426712,      1.79301822351461, 1.7245004017694, 2.1818192257633, 1.49196951764411,      2.17952287051713, 2.34701070601947, 2.34701070601947, 2.27183532495414,      2.44772974464855, 2.45115541279444, 2.45115541279444, 2.14655926815246,      2.39243139523594, 2.51024920878341, 1.02395142210687, 2.55739022352562,      1.07372228066705, 1.67761333691466), PROX_MRT = c(0.341199960643831,      0.297714051615291, 0.159697283923578, 0.233994550027949,      0.364450998520493, 0.164193456307044, 0.290093838525113,      0.424613907535265, 0.424613907535265, 0.370313443989706,      0.538616250543522, 0.52727924180445, 0.52727924180445, 0.460645764817668,      0.499275570100955, 0.65447898159524, 0.437229774651496, 0.674610535324426,      0.363746184676816, 0.653367521351592), PROX_PARK = c(0.686441032296595,      0.782164021798725, 0.678969217742802, 0.998254167239372,      1.05372411430502, 0.786093050092807, 0.886796559947336, 1.30337713627377,      1.30337713627377, 1.16446299803307, 1.35146177086674, 1.39203600576681,      1.39203600576681, 0.711243459523284, 1.19384102986047, 1.32632916723033,      0.600185611341118, 1.39748820590438, 0.497172938499345, 0.32735774848914     ), PROX_GOOD_PRISCH = c(5.93514971647738, 5.84268664292306,      6.09357654169244, 5.64801716169655, 6.12314921566155, 5.37568176340172,      6.4097782056775, 5.99275530970335, 5.99275530970335, 5.73062396037349,      6.09534233388474, 6.02718330754398, 6.02718330754398, 6.77397603493671,      5.71328270316738, 6.27623366830878, 5.28070608730985, 6.23706483495109,      5.17691715074399, 6.76031366250815), PROX_MALL = c(0.310729806849059,      0.394873468760787, 0.145699923430919, 0.455554164929496,      0.45623102577182, 0.249545786638779, 0.355568776497803, 0.338688619983659,      0.338688619983659, 0.155488337640192, 0.275346491924215,      0.238316612740974, 0.238316612740974, 0.345326846187852,      0.238209845871265, 0.370949542105629, 0.252669380741675,      0.292722816398213, 0.278400001713995, 0.388175183991252),          PROX_CHAS = c(0.261893114523038, 0.28481487293308, 0.0723222156351423,          0.158017550603297, 0.290215734280461, 0.193150290660334,          0.121251060497272, 0.338688583692834, 0.338688583692834,          0.155488306171375, 0.275346446899555, 0.238316573509266,          0.238316573509266, 0.286223989121013, 0.238209795937414,          0.370949494121523, 0.252669404800451, 0.292722768811081,          0.190291087196022, 0.380772978950647), PROX_SUPERMARKET = c(0.322774913149109,          0.407244625741832, 0.157892159590583, 0.387973705585917,          0.162067612034701, 0.200567401454574, 0.350013224352412,          0.112474666082431, 0.112474666082431, 0.152010752053411,          0.141316208924405, 0.177610526119132, 0.177610526119132,          0.377165028023417, 0.238833101010687, 0.235998227482853,          0.186322037460738, 0.254565333705719, 0.190291125096353,          0.422789252098693), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 1L, 1L, 0L, 0L, 3L, 3L, 4L, 3L, 3L, 3L, 0L, 3L,          3L, 1L, 5L, 1L, 1L), WITHIN_350M_CHILDCARE = c(4L, 3L,          3L, 8L, 6L, 5L, 4L, 9L, 9L, 8L, 8L, 6L, 6L, 1L, 5L, 5L,          3L, 8L, 3L, 4L), WITHIN_350M_BUS = c(8L, 9L, 7L, 14L,          12L, 11L, 9L, 15L, 15L, 14L, 12L, 14L, 14L, 2L, 16L,          7L, 7L, 9L, 9L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L), DNeighbour = c(0, 98.3265152756857, 187.902716223266,          323.025367840101, 544.281737797934, 564.422358131552,          605.425634971604, 721.839661368914, 725.538612206215,          731.419826885128, 815.339662650997, 824.507562584686,          825.387045991609, 849.040583465229, 858.66778173702,          872.141536923433, 886.626835242551, 912.181023938094,          948.985660496685, 950.89036225418)), row.names = c("196",      "304", "510", "383", "888", "387", "711", "959", "927", "450",      "463", "566", "490", "498", "572", "806", "87", "54", "995",      "252"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.978729273749152,      0.923427635142738, 0.782514076385035, 0.452078401489866,      0.419478632921422, 0.35357471798958, 0.179553209162885, 0.17457031851368,      0.166741158334127, 0.0701094032880378, 0.0615808354890282,      0.0607869292982671, 0.0411064606829243, 0.0340641724258267,      0.0252089595822321, 0.0170557239094333, 0.00636163436663647,      1.60170564474357e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1573024907 
R squared (OOB):                  -0.3518361 

$Forests[[197]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 705000, 720000,      640000, 640000, 345000, 370000, 375000, 335000, 408000, 355000,      450000, 440000, 330000, 340000, 420000, 516000, 435000, 405000,      548000), floor_area_sqm = c(92, 91, 91, 90, 91, 92, 92, 92,      91, 100, 91, 92, 92, 91, 91, 91, 98, 98, 102, 95), storey_order = c(1L,      3L, 3L, 1L, 3L, 1L, 4L, 2L, 3L, 5L, 3L, 1L, 3L, 4L, 1L, 1L,      3L, 1L, 3L, 2L), remaining_lease_mths = c(714, 1097, 1079,      1095, 992, 695, 699, 695, 754, 916, 763, 679, 677, 777, 786,      742, 698, 692, 928, 981), PROX_CBD = c(9.56457497404925,      9.2692311101123, 9.2692311101123, 9.29204667907952, 9.30017281297198,      8.46158045860266, 8.34406204250889, 8.4016901584654, 8.32334928378694,      9.71665400465424, 9.41668106440496, 8.7589377611275, 8.7589377611275,      9.37335060635629, 9.37335060635629, 8.31995738049774, 8.70928269501252,      8.85689554561162, 9.51108523911647, 8.37940280964872), PROX_ELDERLYCARE = c(1.08567795373645,      0.751834464907999, 0.751834464907999, 0.771441336950035,      0.677643973897152, 0.0854535518544851, 0.224798473876808,      0.150390524199432, 0.163895949541214, 1.86385802759073, 1.6892356184521,      0.169235371196244, 0.169235371196244, 1.66235796621519, 1.66235796621519,      0.259768432786295, 0.119444653145476, 0.272187629818594,      1.80905665624389, 0.335901694998922), PROX_HAWKER = c(0.44425153291851,      0.13065395668809, 0.13065395668809, 0.172288624542473, 0.445284816601654,      0.266645682444034, 0.308707066729857, 0.205000896629144,      0.1672780527947, 1.14805608329678, 0.864780296064508, 0.330091511745513,      0.330091511745513, 0.823170476035045, 0.823170476035045,      0.387410687724852, 0.281172749103646, 0.446318851105742,      0.978663880778012, 0.203869560106314), PROX_MRT = c(1.06652131186481,      0.513894886157587, 0.513894886157587, 0.459210746913958,      0.258716275079725, 0.681495718287031, 1.14033242259394, 0.747297636603152,      1.03738004469153, 2.10187463598542, 2.02952953118228, 0.338391484905848,      0.338391484905848, 2.01327082024864, 2.01327082024864, 0.705543842504761,      0.379410256905797, 0.372678744867538, 1.99882067476962, 0.62312262100292     ), PROX_PARK = c(0.829152657918636, 0.421166514654472, 0.421166514654472,      0.354651430366215, 0.166211588513849, 0.773425606080498,      0.748901820021747, 0.784786352249359, 0.839050716088865,      0.706984478917025, 0.564264159971047, 0.469340752260783,      0.469340752260783, 0.548771819269344, 0.548771819269344,      0.517920409018535, 0.513364518506117, 0.479885299937475,      0.674672834209049, 0.394842599629624), PROX_GOOD_PRISCH = c(1.87441197950121,      2.13343245969583, 2.13343245969583, 2.10961489740732, 1.82000438656186,      1.4534383809239, 1.74338078296013, 1.42922442943649, 1.6197212814627,      0.494123442243702, 0.555662252109323, 1.40615721612308, 1.40615721612308,      0.581790960048334, 0.581790960048334, 1.20021801549651, 1.35677240305411,      1.47413984574199, 0.439174603441127, 1.14854892992093), PROX_MALL = c(1.18499732413142,      0.655923636590071, 0.655923636590071, 0.591682371404957,      0.302826744416793, 0.793630348518112, 0.813314037197816,      0.856591768216477, 0.952850965311535, 1.00609620967541, 0.873946799305891,      0.264395031718586, 0.264395031718586, 0.835862391091354,      0.835862391091354, 0.768764019555169, 0.313890580083005,      0.241772845363545, 0.994410311642026, 0.651389947232486),          PROX_CHAS = c(0.358325278319411, 0.0970531700661786,          0.0970531700661786, 0.116738661463474, 0.258750733988333,          0.161491876005888, 0.347263729641395, 0.14998683096932,          0.218034921212892, 0.0862664572880411, 0.248119447519373,          0.0806835690144568, 0.0806835690144568, 0.240374554675797,          0.240374554675797, 0.1066489590073, 0.112175615725657,          0.157458356405151, 0.21913048386411, 0.11938167830482         ), PROX_SUPERMARKET = c(0.418420374852224, 0.098601858754749,          0.098601858754749, 0.110756393825321, 0.378001630838772,          0.128302570008396, 0.624544400837596, 0.194600933367586,          0.502751024921131, 0.0862669641327853, 0.315469124538892,          0.24726445439454, 0.24726445439454, 0.322141005481158,          0.322141005481158, 0.284909088626731, 0.221335227738319,          0.224853982916395, 0.21913043091083, 0.282093113359979         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 0L,          1L, 0L, 1L, 1L, 1L, 2L, 2L, 0L, 0L, 1L, 2L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 4L, 4L, 5L, 3L, 3L,          1L, 3L, 1L, 8L, 2L, 8L, 8L, 2L, 2L, 3L, 7L, 7L, 4L, 4L         ), WITHIN_350M_BUS = c(4L, 10L, 10L, 7L, 9L, 7L, 5L,          7L, 4L, 8L, 6L, 6L, 6L, 5L, 5L, 7L, 6L, 7L, 7L, 6L),          WITHIN_1KM_PRISCH = c(1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L,          3L, 1L, 1L, 3L, 3L, 1L, 1L, 2L, 4L, 3L, 1L, 3L), DNeighbour = c(0,          550.477739662128, 558.854004873856, 620.694879988487,          886.012220313316, 1193.40233508943, 1219.5912504781,          1233.06742104817, 1241.33225495551, 1379.88665309402,          1392.6083052459, 1395.42386934867, 1396.40684961463,          1397.86715375875, 1398.37493168542, 1422.57818091476,          1430.33336836551, 1445.51972687431, 1466.22810141339,          1480.77000965243)), row.names = c("197", "642", "306",      "191", "973", "676", "204", "682", "713", "879", "725", "194",      "386", "334", "737", "716", "446", "397", "719", "998"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.742701291224441, 0.735415031871757, 0.679464257494957,      0.412141585024354, 0.12282992132093, 0.103459173921384, 0.0939892765644465,      0.0883575563606529, 0.0173228793471478, 0.0133473526528249,      0.0125329597866802, 0.0122542956892955, 0.0118457455376624,      0.0117052085361073, 0.00593706517664624, 0.00448391253575068,      0.00221314270679724, 0.000381990071249451, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5384983235 
R squared (OOB):                  0.6700511 

$Forests[[198]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 315000, 310000,      355000, 320800, 310000, 340000, 315000, 402000, 370000, 350000,      416000, 302500, 320000, 338000, 358000, 387008, 315000, 313000,      315000), floor_area_sqm = c(91, 91, 84, 93, 92, 96, 91, 97,      93, 93, 91, 98, 93, 93, 93, 91, 97, 104, 84, 84), storey_order = c(3L,      3L, 3L, 4L, 1L, 1L, 2L, 3L, 4L, 1L, 1L, 4L, 2L, 3L, 3L, 1L,      2L, 4L, 4L, 2L), remaining_lease_mths = c(774, 774, 806,      761, 965, 772, 782, 746, 762, 782, 957, 779, 764, 762, 778,      760, 775, 777, 772, 783), PROX_CBD = c(16.3680873997092,      16.1626205207603, 16.5546706157429, 16.1297617902268, 16.3149444157129,      16.0124832316584, 16.0688727275577, 16.179026897848, 15.8715793299193,      15.9422949327985, 16.4034806336055, 16.1674221276903, 15.7384939989151,      15.7384939989151, 16.3741208173644, 15.6053010835868, 15.8742411347238,      15.5029529482698, 15.5029529482698, 16.7380919986833), PROX_ELDERLYCARE = c(1.42545230549203,      1.55788424655444, 1.28388145020366, 1.29938230642316, 1.76400828031834,      1.41328722649904, 1.20623153653763, 1.73064849730919, 1.28212929908789,      1.09392979000114, 0.839978570407226, 0.762025473923165, 1.81389464514152,      1.81389464514152, 0.617661573186221, 1.18278326755006, 0.784609866943175,      1.60634233373903, 1.60634233373903, 0.827102139700697), PROX_HAWKER = c(0.369132496020862,      0.113648031708615, 0.634516033073404, 0.335840869363962,      0.267171899978326, 0.231474226543029, 0.426544691499688,      0.141690035201285, 0.428166805124, 0.571238530927929, 0.889236545198411,      0.872582424517839, 0.367446283592148, 0.367446283592148,      1.08852003222566, 0.745618024005524, 0.921851461637316, 0.592613874358246,      0.592613874358246, 1.22509286076097), PROX_MRT = c(0.767751604782153,      0.733071345608223, 0.786543604226707, 0.514969181151661,      0.980548762507945, 0.526610558032509, 0.406145228037129,      0.887672461516919, 0.326170963259121, 0.22642613478059, 0.660139833101166,      0.447065767326062, 0.817431272071058, 0.817431272071058,      0.70945464840636, 0.180817781363956, 0.243577544220952, 0.579811001445256,      0.579811001445256, 0.950017645146174), PROX_PARK = c(0.655349613079545,      0.622244080025509, 0.413578796610442, 0.709135847201637,      0.504828773517413, 0.641040622161513, 0.697314652170583,      0.539742315344257, 0.729541055973412, 0.749126986336644,      0.251028276822116, 0.490935310554108, 0.197322246351151,      0.197322246351151, 0.371358045807383, 0.580682002012541,      0.457440234531046, 0.518465718930498, 0.518465718930498,      0.234693283811741), PROX_GOOD_PRISCH = c(6.74866006620563,      6.53246509089368, 6.95112153433386, 6.52049985370614, 6.672975925328,      6.39414010271149, 6.46919552361138, 6.53838177865997, 6.26806838260706,      6.35759010380229, 6.84769610957781, 6.62018800412964, 6.09593783675615,      6.09593783675615, 6.84990365493624, 6.02648848177283, 6.33578781760894,      5.8805780078001, 5.8805780078001, 7.2060126627476), PROX_MALL = c(0.812249060303789,      0.800586392071248, 0.809678350084408, 0.568960814514176,      0.965701391482886, 0.598952481573277, 0.45653839484425, 0.960112961135972,      0.405953132327172, 0.275355858531219, 0.630333401213655,      0.402318259451987, 0.906877360376741, 0.906877360376741,      0.523710338103731, 0.252610517585887, 0.159478773824134,      0.667352945771092, 0.667352945771092, 0.804164390636077),          PROX_CHAS = c(0.317481852326526, 0.107377285719627, 0.102023856475547,          0.215228497760129, 0.215258950862385, 0.191204296760245,          0.123235071398074, 0.0821179618758864, 0.170717118999449,          0.101928728560798, 0.142060383584178, 0.277543603442508,          0.184740133551779, 0.184740133551779, 0.0863783451683255,          0.0925674017483885, 0.159478805927642, 0.128101303359069,          0.128101303359069, 0.206110482646065), PROX_SUPERMARKET = c(0.442251956603444,          0.191669323632479, 0.57240719914765, 0.353026966783941,          0.357579925001748, 0.214004200599592, 0.399183655269817,          0.224545288466622, 0.323117190327721, 0.218983947734938,          0.142061131074292, 0.277543419111335, 0.287892528450529,          0.287892528450529, 0.0863776808909183, 0.188530812320699,          0.159478664733051, 0.314517101025506, 0.314517101025506,          0.283037745664543), WITHIN_350M_KINDERGARTEN = c(1L,          3L, 2L, 1L, 1L, 3L, 1L, 3L, 1L, 1L, 2L, 1L, 3L, 3L, 1L,          1L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 5L,          2L, 3L, 1L, 4L, 3L, 3L, 2L, 2L, 3L, 3L, 7L, 7L, 4L, 5L,          5L, 2L, 2L, 3L), WITHIN_350M_BUS = c(8L, 9L, 10L, 8L,          8L, 8L, 9L, 8L, 8L, 8L, 7L, 6L, 10L, 10L, 4L, 10L, 8L,          10L, 10L, 5L), WITHIN_1KM_PRISCH = c(4L, 4L, 5L, 4L,          3L, 4L, 4L, 3L, 4L, 4L, 4L, 5L, 3L, 3L, 4L, 4L, 6L, 3L,          3L, 4L), DNeighbour = c(0, 254.164421747131, 261.35381814708,          269.626846680735, 351.720224727572, 358.600072637269,          368.254236635, 375.684553956392, 525.38253400169, 542.652701514421,          606.626759478461, 677.359539671715, 735.385246580431,          737.606265613195, 828.856864627227, 845.005237103286,          849.217284238349, 870.81339596625, 872.238044768262,          884.781715027523)), row.names = c("198", "335", "22",      "184", "980", "740", "804", "336", "294", "708", "206", "351",      "437", "803", "788", "143", "83", "162", "587", "896"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.841770241545567, 0.833105233018333, 0.822893161668958,      0.708923979513018, 0.698450821369053, 0.683548553267143,      0.671922603764409, 0.419130254337163, 0.389177373004042,      0.280816266331368, 0.171319349797173, 0.0955995066063357,      0.0930327001988113, 0.0149866156175619, 0.00772490822447758,      0.00620561536591261, 0.000981278905654285, 0.000792607164803715,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       595875672 
R squared (OOB):                  0.4713371 

$Forests[[199]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(650000, 545000, 680000,      838000, 760000, 815000, 638000, 680000, 630000, 445000, 315000,      480000, 515000, 446000, 450000, 550000, 310000, 582000, 470000,      518000), floor_area_sqm = c(86, 86, 86, 91, 91, 91, 105,      76, 101, 84, 87, 94, 110, 94, 104, 105, 82, 104, 84, 84),          storey_order = c(3L, 1L, 3L, 12L, 9L, 11L, 3L, 11L, 2L,          3L, 1L, 6L, 1L, 2L, 1L, 2L, 5L, 3L, 3L, 3L), remaining_lease_mths = c(1018,          1025, 1025, 1106, 1091, 1109, 918, 1071, 952, 647, 633,          725, 859, 723, 828, 786, 656, 935, 813, 781), PROX_CBD = c(5.26278746968545,          5.19905620756448, 5.19905620756448, 5.38577040159704,          5.4124717534787, 5.46273996086224, 5.24252163748666,          5.17664618337401, 5.76616775136128, 4.82546817648507,          5.88382015009973, 4.50933618399607, 5.31333197008925,          4.45295385586978, 5.12061996426338, 6.4090346428634,          5.9699685911294, 5.4901102241405, 6.30150758144434, 6.59778313634683         ), PROX_ELDERLYCARE = c(0.310343810032976, 0.3148233892717,          0.3148233892717, 0.343873602324804, 0.277453528347438,          0.323825203617813, 0.232760622048558, 0.203403853153192,          0.708186986363007, 0.401252043911139, 0.599695566252105,          0.665866395733666, 0.301885421229742, 0.645271528549996,          0.279354008399566, 0.336883008423279, 4.28110190953706e-07,          0.157919913507301, 0.0580157957368266, 0.619464736019043         ), PROX_HAWKER = c(0.356302899600742, 0.424686940189847,          0.424686940189847, 0.225377370173431, 0.214745652304629,          0.17988889362956, 0.316098981667774, 0.242990200436355,          0.25612232537118, 0.33634581375869, 0.302293625820731,          0.665007751295857, 0.15027253820603, 0.601904675681234,          0.158729667464322, 0.729024203622067, 0.247906315943116,          0.258924665495, 0.511576723994062, 1.00589931737343),          PROX_MRT = c(0.321982757522174, 0.253583166891469, 0.253583166891469,          0.452916639575337, 0.525678460826462, 0.495510769155532,          0.353807427048722, 0.347215067697513, 0.0934691468297738,          0.437510974512092, 0.37771060533367, 0.549595780709265,          0.839256513816073, 0.66128766903618, 1.12797954219589,          0.631935879685516, 1.03854772657135, 1.30755754576723,          0.911216039334219, 0.372865816575034), PROX_PARK = c(0.550000337404237,          0.482110245392283, 0.482110245392283, 0.680409922157526,          0.766524211973089, 0.816564732509704, 0.540897442657821,          0.502895249788983, 1.02675087524374, 0.386749503328341,          1.09766236241216, 0.353281501558379, 0.919693677764514,          0.473457593144303, 1.12857946410316, 0.73120409495038,          0.792968228054446, 0.803347187860442, 0.950460734805334,          0.432673847047101), PROX_GOOD_PRISCH = c(2.16237499594262,          2.22494939608982, 2.22494939608982, 2.04281306492033,          2.04167837943161, 1.99475835919692, 2.20280244575696,          2.27859573799937, 1.65694818911091, 2.65585299610189,          1.61186682958131, 2.94429219434277, 2.32631552336422,          3.02211493728223, 2.70116277997296, 1.19038460547274,          1.89588922913119, 2.45379201830723, 1.50990256016426,          0.909917905905181), PROX_MALL = c(0.38523327442887, 0.31885342913617,          0.31885342913617, 0.513452616263142, 0.636573036587929,          0.68208602871978, 0.315823950773482, 0.285366785950761,          0.834887080030876, 0.337875853585261, 0.966526596905427,          0.485349818185599, 0.752077094160308, 0.570379319619026,          1.02774547618649, 0.56447134405004, 1.25835483053691,          1.21674302842157, 0.872189526609738, 0.324462922438517         ), PROX_CHAS = c(0.188692357663819, 0.211748617283041,          0.211748617283041, 0.180097972613039, 0.208534953207918,          0.185272865297861, 0.0731998871787336, 0.0737889624358689,          0.143086854941205, 0.315432137833306, 0.256579842259861,          0.331046161101227, 0.111194343620761, 0.303272176186244,          0.193072984237221, 0.141339892509329, 0.21461630683628,          0.233242749827373, 0.0940735950578242, 0.0558741615176373         ), PROX_SUPERMARKET = c(0.267150206458008, 0.199301193911681,          0.199301193911681, 0.397689630461078, 0.496000676868079,          0.544212695479659, 0.266280670019211, 0.177322353300672,          0.318319510093507, 0.0907256678718214, 0.27867057765081,          0.325943517329761, 0.370675298005651, 0.34627255092781,          0.198191070641627, 0.360911693423373, 0.227231659318009,          0.37596142908425, 0.469210677159174, 0.173430033183904         ), WITHIN_350M_KINDERGARTEN = c(4L, 4L, 4L, 4L, 1L, 1L,          3L, 1L, 2L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 6L, 6L, 7L, 4L, 4L,          5L, 7L, 1L, 2L, 4L, 1L, 3L, 1L, 4L, 5L, 2L, 3L, 4L, 3L         ), WITHIN_350M_BUS = c(9L, 9L, 9L, 8L, 7L, 8L, 10L, 9L,          8L, 8L, 8L, 5L, 12L, 6L, 9L, 9L, 8L, 10L, 7L, 7L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 2L, 4L, 0L, 3L, 1L, 3L,          3L, 4L, 3L, 4L, 2L), DNeighbour = c(0, 69.5559983342061,          72.454298769155, 131.24829939525, 259.985814201998, 303.377122740384,          349.744596319554, 406.709130820347, 504.660471254214,          701.995527003412, 782.879188299342, 873.4984381638, 903.815200614753,          984.128391841397, 1277.12767404199, 1293.40473880032,          1314.6777868596, 1373.02186582291, 1395.5430729942, 1398.00739622333         )), row.names = c("199", "533", "181", "116", "436",      "75", "472", "897", "430", "288", "201", "622", "279", "346",      "646", "269", "920", "307", "417", "957"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.995055272429992, 0.994635173038443, 0.982449872247763,      0.932027262262035, 0.908033742688203, 0.878743415349023,      0.837893472606472, 0.756359707156922, 0.559287629827667,      0.471150407978544, 0.371617071661143, 0.338764261445509,      0.25447313647122, 0.0273753991296983, 0.0207495160508065,      0.0133770270741479, 0.00125493575750654, 1.24071064688931e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1.1742e+10 
R squared (OOB):                  0.4551311 

$Forests[[200]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 377000, 378000,      380000, 388000, 352000, 410000, 492500, 360000, 355000, 345000,      370000, 430000, 385000, 650000, 440000, 4e+05, 465000, 358000,      363000), floor_area_sqm = c(92, 98, 84, 93, 98, 84, 103,      108, 83, 84, 84, 84, 104, 91, 104, 91, 104, 104, 84, 84),          storey_order = c(1L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 3L,          3L, 1L, 3L, 2L, 1L, 3L, 5L, 2L, 3L, 3L, 4L), remaining_lease_mths = c(767,          735, 799, 790, 728, 800, 799, 912, 803, 782, 789, 777,          781, 715, 815, 669, 783, 760, 770, 780), PROX_CBD = c(8.01258306529517,          8.07728506382532, 8.15960948514705, 7.92065359752155,          8.19895861369783, 8.28689365911172, 8.31972436488376,          8.12312779702036, 8.52567265657093, 7.37752466520609,          7.23308787648785, 7.32999369210923, 7.27303659463988,          8.8262745849674, 7.71625132507906, 6.95185067667089,          6.8579883001408, 8.64488888098128, 6.82164733234375,          6.82164733234375), PROX_ELDERLYCARE = c(1.38923408288603,          1.22552837794249, 1.45090119588013, 1.44631042678071,          1.1658248464307, 1.3668692597991, 1.3912791419992, 1.71708078323557,          1.23693676843424, 1.11141904944431, 0.804640181087392,          1.04617467786566, 0.949520652768775, 0.896855030989675,          1.13999552495818, 0.368543492371998, 0.650979480304367,          0.17844978767297, 0.729511559050305, 0.729511559050305         ), PROX_HAWKER = c(0.532883444787396, 0.503102516785602,          0.40344417957638, 0.646393168274836, 0.391405491562813,          0.269406334629514, 0.252588085280054, 0.581802643409563,          0.0724679807682574, 1.06790139631185, 0.727393295990439,          1.00458194418859, 0.905159668549179, 0.311054993693233,          0.888477780938884, 0.163396016993116, 0.732876252375814,          0.917919654697093, 0.834207881424508, 0.834207881424508         ), PROX_MRT = c(0.57194553577364, 0.711885268750489,          0.408889372474398, 0.434970780163821, 0.707144761815547,          0.467794692056616, 0.44379796826936, 0.142211914808532,          0.510058766918036, 0.450606800129455, 0.626719191507479,          0.446590670593176, 0.477339162120678, 0.17731989795878,          0.227897729387739, 0.258776848421036, 0.479854345281657,          0.91698472228942, 0.401668294921849, 0.401668294921849         ), PROX_PARK = c(0.580004121625521, 0.413960848298732,          0.650146210437373, 0.790688256163915, 0.372450573927522,          0.570592214216024, 0.59965919275643, 0.921087542045637,          0.557643312318536, 1.30417314517193, 1.17683143601381,          1.30043300411079, 1.28136359713013, 0.458605630557841,          0.374132090410645, 0.871860056746433, 1.26891760289394,          0.238119977580318, 1.33915084667526, 1.33915084667526         ), PROX_GOOD_PRISCH = c(2.75227504535898, 2.66084492380109,          2.95345383530684, 2.86596411907387, 2.73491137460549,          2.99359805566516, 3.04207330950824, 3.16123688190063,          3.13534109620979, 2.87682745937193, 2.53413597667736,          2.81856751915823, 2.72285479219865, 2.8424495793979,          1.93537396204111, 1.99104033276262, 2.57894825178105,          2.37381492496372, 2.67483404440455, 2.67483404440455),          PROX_MALL = c(2.11322307221905, 2.0316459728171, 2.20417563031698,          2.02812113432733, 1.94983703099632, 2.09618768409308,          2.10790194839897, 2.25269448786787, 1.96281231550532,          1.52964479685301, 1.33824767405872, 1.4733570331857,          1.40144317349524, 1.64561868645684, 1.9342939090943,          1.10491400246256, 0.985446043286547, 1.00281364182829,          0.977306285381771, 0.977306285381771), PROX_CHAS = c(0.1333322783253,          0.279534674537085, 0.102408834624747, 0.0418426354504526,          0.293834776478611, 0.229330661012247, 0.261198443001062,          0.169904154790832, 0.169369143123463, 0.123680988169118,          0.335243362149438, 0.100781853121145, 0.150676124399865,          0.221229860630612, 0.147762521806201, 0.197049444171332,          0.418063314797021, 0.256340531367836, 0.389404577789016,          0.389404577789016), PROX_SUPERMARKET = c(0.475213328012689,          0.412975566732202, 0.391977689272912, 0.6226371739075,          0.293834967432244, 0.266710264104055, 0.272257424647181,          0.496146947525001, 0.169391527985645, 0.15284622075069,          0.400791637001426, 0.154588063793208, 0.216512452964216,          0.221249484047241, 0.185503456748824, 0.145490551360364,          0.471666412940503, 0.24778575064029, 0.457775852816324,          0.457775852816324), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 3L,          1L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 3L, 3L, 2L, 3L, 1L, 3L, 5L, 2L, 4L, 4L, 2L, 3L, 3L,          1L, 4L, 1L, 1L), WITHIN_350M_BUS = c(6L, 6L, 7L, 6L,          7L, 7L, 9L, 8L, 8L, 9L, 4L, 8L, 7L, 5L, 6L, 4L, 3L, 8L,          4L, 4L), WITHIN_1KM_PRISCH = c(2L, 2L, 1L, 3L, 1L, 1L,          1L, 1L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L         ), DNeighbour = c(0, 157.766670594888, 202.636864608685,          216.461368256164, 238.163812754748, 292.292078531053,          339.530561893015, 439.136755719019, 520.698700058971,          781.86920411967, 794.068699253534, 799.342032747114,          812.242314819682, 819.376848857401, 828.477590207705,          1129.98318907794, 1189.58981067854, 1240.72759500392,          1248.26766035804, 1248.98028328158)), row.names = c("200",      "395", "327", "1", "29", "266", "540", "669", "404", "948",      "171", "187", "611", "814", "809", "492", "168", "487", "46",      "322"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.968342931727035,      0.948048037525445, 0.940829149961103, 0.928599385737311,      0.893464476860357, 0.857660535255744, 0.76804206717304, 0.682598471780952,      0.369805598434262, 0.354968013333691, 0.348578632433639,      0.333019266083645, 0.324462279867554, 0.313602621787698,      0.0329325932503153, 0.00861949295574047, 0.000173486361707472,      1.30142928564338e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4014828862 
R squared (OOB):                  0.1774855 

$Forests[[201]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 630000, 550000,      470000, 515000, 638000, 310000, 680000, 330000, 838000, 515000,      518000, 650000, 545000, 680000, 815000, 760000, 582000, 445000,      450000), floor_area_sqm = c(87, 101, 105, 84, 103, 105, 82,      76, 82, 91, 110, 84, 86, 86, 86, 91, 91, 104, 84, 104), storey_order = c(1L,      2L, 2L, 3L, 3L, 3L, 5L, 11L, 4L, 12L, 1L, 3L, 3L, 1L, 3L,      11L, 9L, 3L, 3L, 1L), remaining_lease_mths = c(633, 952,      786, 813, 823, 918, 656, 1071, 657, 1106, 859, 781, 1018,      1025, 1025, 1109, 1091, 935, 647, 828), PROX_CBD = c(5.88382015009973,      5.76616775136128, 6.4090346428634, 6.30150758144434, 6.41432963568309,      5.24252163748666, 5.9699685911294, 5.17664618337401, 6.06674643703895,      5.38577040159704, 5.31333197008925, 6.59778313634683, 5.26278746968545,      5.19905620756448, 5.19905620756448, 5.46273996086224, 5.4124717534787,      5.4901102241405, 4.82546817648507, 5.12061996426338), PROX_ELDERLYCARE = c(0.599695566252105,      0.708186986363007, 0.336883008423279, 0.0580157957368266,      0.101150617829923, 0.232760622048558, 4.28110190953706e-07,      0.203403853153192, 0.10409496222889, 0.343873602324804, 0.301885421229742,      0.619464736019043, 0.310343810032976, 0.3148233892717, 0.3148233892717,      0.323825203617813, 0.277453528347438, 0.157919913507301,      0.401252043911139, 0.279354008399566), PROX_HAWKER = c(0.302293625820731,      0.25612232537118, 0.729024203622067, 0.511576723994062, 0.639366917684312,      0.316098981667774, 0.247906315943116, 0.242990200436355,      0.346985863757343, 0.225377370173431, 0.15027253820603, 1.00589931737343,      0.356302899600742, 0.424686940189847, 0.424686940189847,      0.17988889362956, 0.214745652304629, 0.258924665495, 0.33634581375869,      0.158729667464322), PROX_MRT = c(0.37771060533367, 0.0934691468297738,      0.631935879685516, 0.911216039334219, 0.753240517287136,      0.353807427048722, 1.03854772657135, 0.347215067697513, 1.1005845300218,      0.452916639575337, 0.839256513816073, 0.372865816575034,      0.321982757522174, 0.253583166891469, 0.253583166891469,      0.495510769155532, 0.525678460826462, 1.30755754576723, 0.437510974512092,      1.12797954219589), PROX_PARK = c(1.09766236241216, 1.02675087524374,      0.73120409495038, 0.950460734805334, 0.941128983241434, 0.540897442657821,      0.792968228054446, 0.502895249788983, 0.741200181243785,      0.680409922157526, 0.919693677764514, 0.432673847047101,      0.550000337404237, 0.482110245392283, 0.482110245392283,      0.816564732509704, 0.766524211973089, 0.803347187860442,      0.386749503328341, 1.12857946410316), PROX_GOOD_PRISCH = c(1.61186682958131,      1.65694818911091, 1.19038460547274, 1.50990256016426, 1.35156641752108,      2.20280244575696, 1.89588922913119, 2.27859573799937, 1.85819018299306,      2.04281306492033, 2.32631552336422, 0.909917905905181, 2.16237499594262,      2.22494939608982, 2.22494939608982, 1.99475835919692, 2.04167837943161,      2.45379201830723, 2.65585299610189, 2.70116277997296), PROX_MALL = c(0.966526596905427,      0.834887080030876, 0.56447134405004, 0.872189526609738, 0.713954983197348,      0.315823950773482, 1.25835483053691, 0.285366785950761, 1.22044581333525,      0.513452616263142, 0.752077094160308, 0.324462922438517,      0.38523327442887, 0.31885342913617, 0.31885342913617, 0.68208602871978,      0.636573036587929, 1.21674302842157, 0.337875853585261, 1.02774547618649     ), PROX_CHAS = c(0.256579842259861, 0.143086854941205, 0.141339892509329,      0.0940735950578242, 0.15014885052256, 0.0731998871787336,      0.21461630683628, 0.0737889624358689, 0.252393584019624,      0.180097972613039, 0.111194343620761, 0.0558741615176373,      0.188692357663819, 0.211748617283041, 0.211748617283041,      0.185272865297861, 0.208534953207918, 0.233242749827373,      0.315432137833306, 0.193072984237221), PROX_SUPERMARKET = c(0.27867057765081,      0.318319510093507, 0.360911693423373, 0.469210677159174,      0.519047869620273, 0.266280670019211, 0.227231659318009,      0.177322353300672, 0.321431524942613, 0.397689630461078,      0.370675298005651, 0.173430033183904, 0.267150206458008,      0.199301193911681, 0.199301193911681, 0.544212695479659,      0.496000676868079, 0.37596142908425, 0.0907256678718214,      0.198191070641627), WITHIN_350M_KINDERGARTEN = c(1L, 2L,      0L, 2L, 2L, 3L, 0L, 1L, 0L, 4L, 1L, 1L, 4L, 4L, 4L, 1L, 1L,      0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 1L, 5L, 4L, 4L,      5L, 2L, 7L, 2L, 7L, 3L, 3L, 5L, 6L, 6L, 4L, 4L, 3L, 2L, 4L     ), WITHIN_350M_BUS = c(8L, 8L, 9L, 7L, 7L, 10L, 8L, 9L, 6L,      8L, 12L, 7L, 9L, 9L, 9L, 8L, 7L, 10L, 8L, 9L), WITHIN_1KM_PRISCH = c(4L,      4L, 3L, 4L, 3L, 4L, 4L, 4L, 5L, 3L, 3L, 2L, 3L, 3L, 3L, 3L,      3L, 3L, 2L, 3L), DNeighbour = c(0, 454.829502566429, 537.744203289311,      622.413479657147, 644.100916668081, 648.883938262232, 662.39488210835,      704.091651518727, 728.092959457806, 728.201299991354, 728.765959457052,      731.945523168191, 782.879188299342, 816.67610364349, 820.789058742727,      853.167058901106, 855.099660444806, 1015.84121894999, 1058.72987702891,      1151.20712070205)), row.names = c("201", "430", "269", "417",      "114", "472", "920", "897", "628", "116", "279", "957", "199",      "533", "181", "75", "436", "307", "288", "646"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.712174843135992, 0.611219257397339, 0.500818113272813,      0.471912986795419, 0.465523408061046, 0.447460029035182,      0.391789900737788, 0.359992553711613, 0.359849708120992,      0.359105327127884, 0.354917447378032, 0.288939650176748,      0.246750226435737, 0.241727370916449, 0.203185643938512,      0.200946067636565, 0.0489938863763133, 0.0237802091712146,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6898688056 
R squared (OOB):                  0.7058467 

$Forests[[202]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(316000, 318000, 305000,      375000, 279000, 3e+05, 297000, 325000, 370000, 355000, 359900,      272000, 245000, 380000, 282000, 303000, 350000, 298000, 320000,      330000), floor_area_sqm = c(92, 91, 91, 92, 91, 96, 91, 91,      93, 93, 93, 89, 88, 105, 84, 92, 103, 93, 84, 103), storey_order = c(3L,      1L, 4L, 4L, 2L, 4L, 3L, 4L, 5L, 3L, 3L, 2L, 2L, 2L, 1L, 1L,      4L, 1L, 1L, 2L), remaining_lease_mths = c(781, 765, 791,      783, 801, 791, 788, 780, 1106, 1111, 1117, 882, 668, 910,      836, 794, 768, 777, 822, 773), PROX_CBD = c(18.2234963781047,      18.2234963781047, 18.2610111258248, 18.1857629477019, 18.2989051402725,      18.5761736305699, 18.1476771148045, 18.1476771148045, 18.8127816342995,      18.8127816342995, 18.8127816342995, 17.8554664137964, 18.8842060529579,      17.589085398281, 18.5087583118065, 18.2139172788048, 18.3186881593276,      18.5252470382495, 17.6406634027014, 18.4499801912104), PROX_ELDERLYCARE = c(0.448333702611612,      0.448333702611612, 0.421521882373529, 0.47723779098819, 0.397078044127006,      0.0638277150498875, 0.519546459890619, 0.519546459890619,      0.176499517448139, 0.176499517448139, 0.176499517448139,      0.800501761367975, 0.229103995883471, 0.387351173411546,      0.855934448185717, 0.649170232100017, 0.586525817031338,      0.449194476018676, 1.035266769267, 0.504778052376495), PROX_HAWKER = c(0.416527045274471,      0.416527045274471, 0.453171307776496, 0.380157991945912,      0.491047773869601, 0.562029876499453, 0.209390724873544,      0.209390724873544, 0.325560722493799, 0.325560722493799,      0.325560722493799, 0.203123967436651, 0.280513302960552,      0.776912813652288, 1.00705768005988, 0.488031980714328, 0.564283191409187,      0.69553534809229, 0.425506106332545, 0.652207052169444),          PROX_MRT = c(0.545975779093886, 0.545975779093886, 0.547550551918807,          0.548087095608087, 0.552168886353884, 0.874368880716004,          0.491311596778589, 0.491311596778589, 1.04083770509984,          1.04083770509984, 1.04083770509984, 0.555370291384357,          1.03601464731326, 0.371614593402704, 0.534460782086299,          0.192826481399443, 0.220618943711049, 0.398456142880405,          0.641227062746355, 0.322534237265928), PROX_PARK = c(0.264257474455249,          0.264257474455249, 0.272660801967067, 0.261695126667213,          0.287159802467115, 0.287868908027907, 0.270911567278729,          0.270911567278729, 0.51923222906617, 0.51923222906617,          0.51923222906617, 0.515057634059466, 0.579556587207627,          0.925923962472294, 0.516289874277036, 0.532358306258428,          0.548488124002706, 0.491317901173298, 0.74946287094318,          0.536975621309476), PROX_GOOD_PRISCH = c(9.1355701416359,          9.1355701416359, 9.16752282736586, 9.10363750169146,          9.19982386356694, 9.51590189269927, 9.18618174729203,          9.18618174729203, 9.7422556358987, 9.7422556358987, 9.7422556358987,          8.91472106998272, 9.83133063879426, 8.43639308613493,          9.25922423900801, 9.33501569353139, 9.44179125712709,          9.63394268044443, 8.7372089119322, 9.56762880935522),          PROX_MALL = c(0.411037179701155, 0.411037179701155, 0.448092738738542,          0.374195605351922, 0.486326630506135, 0.624506085881379,          0.218975149940797, 0.218975149940797, 0.856774663098642,          0.856774663098642, 0.856774663098642, 0.208298160410803,          0.91348864249693, 0.232188905247248, 0.521454353681198,          0.498813518897969, 0.574856358668165, 0.705200807731176,          0.427942470585451, 0.662291407978718), PROX_CHAS = c(0.132763801624598,          0.132763801624598, 0.0964740211655948, 0.172021358032342,          0.0660681856594747, 0.0792988689034794, 0.218975205360203,          0.218975205360203, 0.2593611752042, 0.2593611752042,          0.2593611752042, 0.208298146952687, 0.241229981070425,          0.0713809516165408, 0.521454374874156, 0.0363398547195702,          0.141159289664064, 0.240425442805127, 0.23100298607827,          0.201478871858691), PROX_SUPERMARKET = c(0.421116980529575,          0.421116980529575, 0.457654559995222, 0.38486207983901,          0.490326509583637, 0.625539331690589, 0.206881250620068,          0.206881250620068, 0.856773769273042, 0.856773769273042,          0.856773769273042, 0.19872598136169, 0.911876453557648,          0.238177195426237, 0.521454611985023, 0.186956242757619,          0.210011389308567, 0.386130046709882, 0.231004283416662,          0.310351384739933), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 5L, 1L, 2L, 1L, 5L,          4L, 1L, 6L, 2L), WITHIN_350M_BUS = c(6L, 6L, 6L, 4L,          6L, 10L, 7L, 7L, 16L, 16L, 16L, 10L, 13L, 8L, 4L, 9L,          10L, 8L, 8L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 2L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 5L, 4L, 2L, 2L, 2L,          3L, 2L), DNeighbour = c(0, 2.55922971778085, 41.6966782260241,          46.045345965439, 82.9384056407, 384.908725730374, 472.762437426007,          474.201248835441, 599.004998402944, 604.117975742903,          607.490999589025, 623.625637003563, 700.463257346488,          719.400920939892, 723.352191064849, 771.095939550981,          801.460266901545, 830.200955656555, 832.568433451135,          833.33741619116)), row.names = c("202", "47", "905",      "733", "433", "78", "827", "944", "637", "418", "604", "467",      "96", "464", "393", "481", "367", "11", "730", "810"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999981137262351, 0.994999111599856, 0.993903279977399,      0.980287426084904, 0.618832828181756, 0.459896821266919,      0.457239604720002, 0.233601122306283, 0.225116911393792,      0.219567173595342, 0.193579427043284, 0.0861262182105657,      0.0648991094107538, 0.0607839923018733, 0.020678527629502,      0.00563123242420849, 5.6449717576261e-05, 3.40291078739131e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1289167825 
R squared (OOB):                  0.05602095 

$Forests[[203]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 420000, 395000,      450000, 445000, 456500, 438000, 430000, 436000, 440000, 420000,      435000, 432000, 450000, 431000, 358000, 425000, 418000, 441000,      460000), floor_area_sqm = c(94, 94, 94, 94, 94, 92, 94, 92,      92, 92, 92, 92, 92, 93, 92, 93, 94, 92, 93, 92), storey_order = c(6L,      7L, 4L, 7L, 6L, 8L, 5L, 6L, 7L, 8L, 5L, 2L, 6L, 9L, 7L, 1L,      5L, 6L, 6L, 7L), remaining_lease_mths = c(1119, 1120, 1113,      1119, 1109, 1144, 1076, 1126, 1139, 1142, 1132, 1128, 1137,      1136, 1138, 1103, 1083, 1129, 1097, 1125), PROX_CBD = c(11.9828723130509,      12.0119641769274, 11.9744040829633, 12.0119641769274, 12.1122271384014,      11.9527102757424, 11.9414743986494, 12.0797672032522, 12.042332185553,      12.042332185553, 12.042332185553, 12.042332185553, 11.9317097346946,      12.1741021183779, 11.9317097346946, 11.8075546541859, 11.8751655684431,      12.02897658153, 11.8078122246038, 12.02897658153), PROX_ELDERLYCARE = c(0.710325725805382,      0.673044116243487, 0.738781707341689, 0.673044116243487,      0.629785153682861, 0.819362766143575, 0.687500817542951,      0.550577233037288, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.786890441142101, 0.680106913101551,      0.519600844901231, 0.680106913101551, 0.922118515238085,      0.727329111385366, 0.841755023464642, 0.95260617550949, 0.841755023464642     ), PROX_HAWKER = c(0.20448046373977, 0.222580914455278, 0.217370340361849,      0.222580914455278, 0.337796349528525, 0.27814297307049, 0.147098227142532,      0.286867197183981, 0.369655971945997, 0.369655971945997,      0.369655971945997, 0.369655971945997, 0.161367564791002,      0.375471053349032, 0.161367564791002, 0.209140712961875,      0.145379780608352, 0.409616357379742, 0.262687630178652,      0.409616357379742), PROX_MRT = c(0.170867756883987, 0.201095784108649,      0.167322140356011, 0.201095784108649, 0.302747284955937,      0.200702114351669, 0.183575431830776, 0.285059794417971,      0.298263347673859, 0.298263347673859, 0.298263347673859,      0.298263347673859, 0.214149342621172, 0.338849049026276,      0.214149342621172, 0.120215557602138, 0.191731142133254,      0.331072457322778, 0.173777829752023, 0.331072457322778),          PROX_PARK = c(0.697136724289492, 0.691047645736797, 0.679906922269617,          0.691047645736797, 0.576425078157325, 0.643017670933737,          0.807374064658721, 0.747342190235743, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.542226246468638,          0.785212145526225, 0.612679613149166, 0.785212145526225,          0.747098338531098, 0.723512884628395, 0.529446955515876,          0.746013140888617, 0.529446955515876), PROX_GOOD_PRISCH = c(2.27447890050516,          2.29976812492723, 2.27223739349538, 2.29976812492723,          2.408030235171, 2.270018309959, 2.21615815400514, 2.35145083667271,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.36724315061599, 2.20126444296921, 2.45580221931744,          2.20126444296921, 2.12338877581429, 2.14229157607785,          2.36775586018775, 2.13533890725473, 2.36775586018775),          PROX_MALL = c(0.220402811054307, 0.251262654177611, 0.214069216816763,          0.251262654177611, 0.350899017798137, 0.232344363503357,          0.22663965361209, 0.356578632219481, 0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.255684281538694, 0.416829357908565, 0.255684281538694,          0.119447773727589, 0.249449426365425, 0.358721564938295,          0.17025857997445, 0.358721564938295), PROX_CHAS = c(0.0995919009989899,          0.131248018016709, 0.0939357367291076, 0.131248018016709,          0.0703863092474096, 0.146038815472653, 0.156140837156126,          0.146949814741425, 0.236223262451169, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.203726500797623,          0.0461624602204791, 0.203726500797623, 0.11944771257822,          0.179410689617013, 0.25157977989641, 0.170258520163124,          0.25157977989641), PROX_SUPERMARKET = c(0.230351837454113,          0.261515416493987, 0.22318738818849, 0.261515416493987,          0.360308355053667, 0.237998550380205, 0.236998053946951,          0.315486318912089, 0.33849828517841, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.217804588957955,          0.427183407476201, 0.217804588957955, 0.119571834445138,          0.179159947933279, 0.314501000490003, 0.168966076328732,          0.314501000490003), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L,          0L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 6L,          7L, 6L, 7L, 5L, 6L, 5L, 4L, 4L, 4L, 4L, 6L, 7L, 6L, 4L,          7L, 4L, 4L, 4L), WITHIN_350M_BUS = c(7L, 6L, 10L, 6L,          7L, 12L, 8L, 9L, 10L, 10L, 10L, 10L, 8L, 5L, 8L, 10L,          6L, 11L, 11L, 11L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L,          3L, 3L, 3L), DNeighbour = c(0, 33.0846997132324, 35.4855555679604,          40.4728823935772, 131.881536156952, 137.561098497876,          142.049064950567, 184.883231634632, 190.781906789533,          191.124312189139, 192.299751633894, 193.628151283859,          196.113034785367, 197.13996804811, 198.680161240165,          205.502112702129, 244.454659931444, 245.0597836219, 245.126441797951,          246.666849629767)), row.names = c("203", "167", "858",      "947", "607", "749", "781", "900", "573", "16", "634", "908",      "392", "621", "613", "724", "250", "700", "439", "874"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.964343505309684, 0.959036769812108, 0.94688086938215, 0.510002491567163,      0.474711815731785, 0.44671705503934, 0.192028606385063, 0.161436170179728,      0.159713734172871, 0.153848090964787, 0.147309269196532,      0.135344459951447, 0.130504881945335, 0.12336600315378, 0.0935856016284868,      0.000318844913491636, 0.000168683166398926, 0.00015502205435915,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       433301476 
R squared (OOB):                  0.1581852 

$Forests[[204]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 335000, 375000,      345000, 420000, 430000, 548000, 705000, 720000, 640000, 516000,      440000, 450000, 350000, 638000, 630000, 588000, 485000, 640000,      455000), floor_area_sqm = c(92, 91, 92, 92, 91, 93, 95, 91,      91, 90, 98, 92, 92, 92, 102, 102, 95, 103, 91, 95), storey_order = c(4L,      3L, 2L, 1L, 1L, 3L, 2L, 3L, 3L, 1L, 3L, 3L, 1L, 1L, 9L, 6L,      3L, 2L, 3L, 2L), remaining_lease_mths = c(699, 754, 695,      695, 742, 728, 981, 1097, 1079, 1095, 698, 677, 679, 714,      869, 870, 1025, 855, 992, 784), PROX_CBD = c(8.34406204250889,      8.32334928378694, 8.4016901584654, 8.46158045860266, 8.31995738049774,      8.20083785223568, 8.37940280964872, 9.2692311101123, 9.2692311101123,      9.29204667907952, 8.70928269501252, 8.7589377611275, 8.7589377611275,      9.56457497404925, 7.86314261154951, 7.86314261154951, 8.51090417959469,      7.70120549943486, 9.30017281297198, 7.49071683084666), PROX_ELDERLYCARE = c(0.224798473876808,      0.163895949541214, 0.150390524199432, 0.0854535518544851,      0.259768432786295, 0.41240614163537, 0.335901694998922, 0.751834464907999,      0.751834464907999, 0.771441336950035, 0.119444653145476,      0.169235371196244, 0.169235371196244, 1.08567795373645, 0.731462959428347,      0.731462959428347, 0.120425912751251, 0.883817181840043,      0.677643973897152, 1.54524415115482), PROX_HAWKER = c(0.308707066729857,      0.1672780527947, 0.205000896629144, 0.266645682444034, 0.387410687724852,      0.35604829505958, 0.203869560106314, 0.13065395668809, 0.13065395668809,      0.172288624542473, 0.281172749103646, 0.330091511745513,      0.330091511745513, 0.44425153291851, 0.573870222021737, 0.573870222021737,      0.166697492306482, 0.72907919143595, 0.445284816601654, 0.996854886033364     ), PROX_MRT = c(1.14033242259394, 1.03738004469153, 0.747297636603152,      0.681495718287031, 0.705543842504761, 0.805467939952349,      0.62312262100292, 0.513894886157587, 0.513894886157587, 0.459210746913958,      0.379410256905797, 0.338391484905848, 0.338391484905848,      1.06652131186481, 0.85984195598231, 0.85984195598231, 0.608243230971526,      0.692418360175919, 0.258716275079725, 0.34804043957783),          PROX_PARK = c(0.748901820021747, 0.839050716088865, 0.784786352249359,          0.773425606080498, 0.517920409018535, 0.393072899865764,          0.394842599629624, 0.421166514654472, 0.421166514654472,          0.354651430366215, 0.513364518506117, 0.469340752260783,          0.469340752260783, 0.829152657918636, 0.281207712521794,          0.281207712521794, 0.368529270986479, 0.450335295656325,          0.166211588513849, 0.292176487074364), PROX_GOOD_PRISCH = c(1.74338078296013,          1.6197212814627, 1.42922442943649, 1.4534383809239, 1.20021801549651,          1.04754826657838, 1.14854892992093, 2.13343245969583,          2.13343245969583, 2.10961489740732, 1.35677240305411,          1.40615721612308, 1.40615721612308, 1.87441197950121,          0.562813849840511, 0.562813849840511, 1.13331232297991,          0.490611064856358, 1.82000438656186, 2.30076298730527         ), PROX_MALL = c(0.813314037197816, 0.952850965311535,          0.856591768216477, 0.793630348518112, 0.768764019555169,          0.844084234929545, 0.651389947232486, 0.655923636590071,          0.655923636590071, 0.591682371404957, 0.313890580083005,          0.264395031718586, 0.264395031718586, 1.18499732413142,          0.943364056194349, 0.943364056194349, 0.540250505232014,          0.779066462317335, 0.302826744416793, 0.79872232386887         ), PROX_CHAS = c(0.347263729641395, 0.218034921212892,          0.14998683096932, 0.161491876005888, 0.1066489590073,          0.0460460495231756, 0.11938167830482, 0.0970531700661786,          0.0970531700661786, 0.116738661463474, 0.112175615725657,          0.0806835690144568, 0.0806835690144568, 0.358325278319411,          0.201852081003395, 0.201852081003395, 0.0869956868442428,          0.0405139203460024, 0.258750733988333, 0.204927614889482         ), PROX_SUPERMARKET = c(0.624544400837596, 0.502751024921131,          0.194600933367586, 0.128302570008396, 0.284909088626731,          0.436961702644775, 0.282093113359979, 0.098601858754749,          0.098601858754749, 0.110756393825321, 0.221335227738319,          0.24726445439454, 0.24726445439454, 0.418420374852224,          0.115543350477338, 0.115543350477338, 0.0869967242830128,          0.0588346413192393, 0.378001630838772, 0.535956758401375         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 0L, 1L, 1L,          1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 4L, 4L, 2L, 4L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 3L, 3L, 3L, 2L,          4L, 4L, 4L, 5L, 7L, 8L, 8L, 2L, 3L, 3L, 6L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(5L, 4L, 7L, 7L, 7L, 7L, 6L, 10L,          10L, 7L, 6L, 6L, 6L, 4L, 2L, 2L, 5L, 4L, 9L, 4L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 4L, 3L, 3L, 1L, 2L,          2L, 3L, 2L, 2L, 4L), DNeighbour = c(0, 137.80332281263,          472.761005740364, 516.314212307752, 721.724939700043,          825.515274081952, 902.787946945478, 1058.54120349628,          1062.51672914508, 1116.40262905496, 1201.32032894204,          1215.89130072864, 1218.67859506765, 1219.5912504781,          1246.2614695696, 1252.98290398096, 1260.99176493336,          1263.13788386427, 1290.18593845776, 1323.87494316722)), row.names = c("204",      "713", "682", "676", "716", "79", "998", "642", "306", "191",      "446", "386", "194", "197", "931", "476", "94", "811", "973",      "950"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.9784475680479,      0.761215680037859, 0.718931428116562, 0.493927170610077,      0.373532559539666, 0.286196786253166, 0.130086537492035,      0.126639126858956, 0.0834470348565503, 0.0311789452892597,      0.0244858728084001, 0.0232891528143032, 0.0229032383058316,      0.0129538463395417, 0.0108639563170394, 0.00860116786783304,      0.00803742320396338, 0.00252475887674786, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7260590763 
R squared (OOB):                  0.5424169 

$Forests[[205]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 395000, 418000,      425000, 430000, 382000, 459000, 418000, 318000, 445000, 462000,      447888, 443000, 442500, 418888, 450000, 345000, 390000, 415000,      358000), floor_area_sqm = c(93, 93, 92, 93, 92, 93, 93, 92,      90, 93, 93, 93, 93, 92, 92, 92, 90, 92, 92, 104), storey_order = c(4L,      2L, 3L, 5L, 5L, 1L, 4L, 5L, 3L, 4L, 5L, 5L, 5L, 6L, 3L, 4L,      5L, 1L, 2L, 4L), remaining_lease_mths = c(1134, 1138, 1134,      1134, 1137, 1111, 1138, 1142, 968, 1133, 1134, 1137, 1134,      1138, 1136, 1135, 937, 1132, 1132, 815), PROX_CBD = c(14.318757359464,      14.318757359464, 14.318757359464, 14.3486805845321, 14.2919055230493,      14.29200158436, 14.1715462602585, 14.4012043650842, 14.1338242827509,      14.1149653809405, 14.1475961545785, 14.1475961545785, 14.1475961545785,      14.4158973706441, 14.4158973706441, 14.5310939664424, 14.2787185061121,      14.6424103631698, 14.6122009832922, 14.0960645211931), PROX_ELDERLYCARE = c(2.13920478430288,      2.13920478430288, 2.13920478430288, 2.08279710659019, 2.08663557441472,      2.00367987562091, 2.09595649451453, 1.94149260139439, 2.28550514148655,      2.12564955085825, 2.03155968851809, 2.03155968851809, 2.03155968851809,      1.86115765343828, 1.86115765343828, 1.79186944623163, 1.77826193055387,      1.72557175775889, 1.68824062303628, 1.70531999087377), PROX_HAWKER = c(1.17625726432186,      1.17625726432186, 1.17625726432186, 1.11865892678262, 1.13160866269818,      1.05572120633707, 1.11030496241672, 0.977925494011815, 1.19906286300234,      1.06810792734919, 1.0452124348096, 1.0452124348096, 1.0452124348096,      0.900970586039013, 0.900970586039013, 0.816792492128141,      0.865181709866835, 0.740384095011384, 0.707122679385598,      0.845358517598031), PROX_MRT = c(0.277525006355607, 0.277525006355607,      0.277525006355607, 0.228370105834555, 0.215635082050947,      0.129588785375857, 0.236487582928319, 0.117672709296806,      0.414064606154384, 0.282489779359316, 0.206896355650083,      0.206896355650083, 0.206896355650083, 0.0830542408041225,      0.0830542408041225, 0.197201307651512, 0.14195902454703,      0.312698200175978, 0.295449456212788, 0.217341234217998),          PROX_PARK = c(1.77227256709076, 1.77227256709076, 1.77227256709076,          1.76668334590621, 1.71136953372848, 1.659682039687, 1.59201213147604,          1.73691437359179, 1.68789157401301, 1.55223981690243,          1.52292224478236, 1.52292224478236, 1.52292224478236,          1.70853765465547, 1.70853765465547, 1.79335149216305,          1.51686048726609, 1.78460824921244, 1.76906915549279,          1.27300714898888), PROX_GOOD_PRISCH = c(5.68167095374807,          5.68167095374807, 5.68167095374807, 5.67955556528646,          5.62322031775431, 5.57470277830303, 5.50129862889456,          5.65284274036128, 5.57754198399205, 5.45814117537329,          5.43570837857945, 5.43570837857945, 5.43570837857945,          5.62289607338158, 5.62289607338158, 5.7030752613132,          5.42826997650874, 5.77937603269072, 5.7298925008129,          5.17863906457975), PROX_MALL = c(0.582562895872492, 0.582562895872492,          0.582562895872492, 0.571430807201143, 0.517951444315281,          0.462705775504015, 0.405991175981987, 0.544441659044551,          0.547412994688805, 0.377565489031552, 0.329425359540921,          0.329425359540921, 0.329425359540921, 0.475045953779526,          0.475045953779526, 0.466036051693473, 0.338911837083335,          0.482269498416602, 0.426875162675013, 0.243284841315127         ), PROX_CHAS = c(0.0707174365033835, 0.0707174365033835,          0.0707174365033835, 0.0590253437170886, 3.54155757628082e-08,          0.0888572682655253, 0.12657377242065, 0.0706873614354785,          0.219091723429967, 0.179884741524278, 0.188783823394846,          0.188783823394846, 0.188783823394846, 0.0420419616737589,          0.0420419616737589, 0.162368565956873, 0.18872293939054,          0.280031834846542, 0.270793953405505, 0.132339190026647         ), PROX_SUPERMARKET = c(0.25307995359875, 0.25307995359875,          0.25307995359875, 0.199153546859355, 0.199383936085002,          0.124391003677116, 0.248308073473709, 0.0706874850207218,          0.41091265647621, 0.299769914037237, 0.235757849482592,          0.235757849482592, 0.235757849482592, 0.0420421510628514,          0.0420421510628514, 0.162368758687164, 0.188722783027928,          0.280032026158491, 0.270794118098451, 0.226949559622758         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 0L, 2L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 5L, 5L,          5L, 5L, 3L, 6L, 6L, 6L, 6L, 5L, 5L, 4L, 6L, 3L, 5L, 7L         ), WITHIN_350M_BUS = c(3L, 3L, 3L, 4L, 4L, 5L, 5L, 6L,          3L, 5L, 6L, 6L, 6L, 7L, 7L, 8L, 8L, 6L, 6L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 4L, 4L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,          3L, 4L, 3L, 4L, 5L), DNeighbour = c(0, 4.2134330663749,          10.2171403267259, 62.5880936936675, 70.4969170531649,          161.379796812775, 178.029005767394, 201.840227621646,          205.522666099932, 224.613464425284, 255.042124893804,          257.350796370637, 257.608727972687, 278.398905646884,          278.531134432325, 369.668312920486, 417.506820442643,          473.481852372304, 489.19131574947, 624.212038430782)), row.names = c("205",      "840", "58", "217", "267", "989", "277", "633", "120", "519",      "207", "623", "966", "33", "100", "609", "329", "323", "489",      "880"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999908876997786,      0.999464244977247, 0.979993986443044, 0.974652950584371,      0.870788272902325, 0.843931692923458, 0.801819002463908,      0.794939037407525, 0.757802681685523, 0.693989510076085,      0.688940394214502, 0.688374617590998, 0.641734804623337,      0.64143203037802, 0.421564897752037, 0.305404458163471, 0.180316057931455,      0.148859770956812, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1096431456 
R squared (OOB):                  0.2819923 

$Forests[[206]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 338000, 416000,      340000, 315000, 283000, 320000, 304500, 310000, 340000, 370000,      387008, 355000, 3e+05, 285000, 310000, 288000, 258000, 402000,      3e+05), floor_area_sqm = c(91, 93, 98, 103, 84, 84, 104,      104, 84, 91, 93, 97, 93, 84, 84, 91, 84, 84, 93, 84), storey_order = c(1L,      3L, 4L, 4L, 2L, 4L, 3L, 3L, 3L, 2L, 1L, 2L, 4L, 1L, 3L, 3L,      1L, 1L, 4L, 2L), remaining_lease_mths = c(957, 778, 779,      784, 783, 781, 788, 783, 806, 782, 782, 775, 761, 766, 776,      774, 770, 781, 762, 803), PROX_CBD = c(16.4034806336055,      16.3741208173644, 16.1674221276903, 16.4938482623735, 16.7380919986833,      16.4061281598547, 16.4061281598547, 16.62872619839, 16.5546706157429,      16.0688727275577, 15.9422949327985, 15.8742411347238, 16.1297617902268,      16.3138748954346, 16.2311391435218, 16.3680873997092, 16.2681803933938,      16.1631400386504, 15.8715793299193, 16.9304098343314), PROX_ELDERLYCARE = c(0.839978570407226,      0.617661573186221, 0.762025473923165, 0.54260343924556, 0.827102139700697,      0.45678545326778, 0.45678545326778, 0.618318415391572, 1.28388145020366,      1.20623153653763, 1.09392979000114, 0.784609866943175, 1.29938230642316,      0.259941730365991, 0.252142982647588, 1.42545230549203, 0.20801878428071,      0.194171564025932, 1.28212929908789, 0.828632612828485),          PROX_HAWKER = c(0.889236545198411, 1.08852003222566,          0.872582424517839, 1.26080574998962, 1.22509286076097,          1.27662029927611, 1.27662029927611, 1.328000513126, 0.634516033073404,          0.426544691499688, 0.571238530927929, 0.921851461637316,          0.335840869363962, 1.19589315813724, 1.12300848995143,          0.369132496020862, 1.14155805943316, 1.03995728027003,          0.428166805124, 1.5376564224438), PROX_MRT = c(0.660139833101166,          0.70945464840636, 0.447065767326062, 0.884131305433386,          0.950017645146174, 0.840195727203247, 0.840195727203247,          1.00682967627403, 0.786543604226707, 0.406145228037129,          0.22642613478059, 0.243577544220952, 0.514969181151661,          0.896077488488813, 0.830985280221221, 0.767751604782153,          0.896888955057001, 0.842728374229233, 0.326170963259121,          1.07382507713197), PROX_PARK = c(0.251028276822116, 0.371358045807383,          0.490935310554108, 0.418424058290637, 0.234693283811741,          0.499042267647801, 0.499042267647801, 0.402413252549947,          0.413578796610442, 0.697314652170583, 0.749126986336644,          0.457440234531046, 0.709135847201637, 0.695881850270676,          0.723677668737743, 0.655349613079545, 0.750067315759091,          0.707513815343702, 0.729541055973412, 0.542342748872478         ), PROX_GOOD_PRISCH = c(6.84769610957781, 6.84990365493624,          6.62018800412964, 6.98980449668537, 7.2060126627476,          6.91087941258894, 6.91087941258894, 7.12509880547394,          6.95112153433386, 6.46919552361138, 6.35759010380229,          6.33578781760894, 6.52049985370614, 6.84997592861041,          6.76533990958697, 6.74866006620563, 6.81173689796023,          6.70927938580052, 6.26806838260706, 7.43262545617428),          PROX_MALL = c(0.630333401213655, 0.523710338103731, 0.402318259451987,          0.506769239398443, 0.804164390636077, 0.408074329267436,          0.408074329267436, 0.615098633053939, 0.809678350084408,          0.45653839484425, 0.275355858531219, 0.159478773824134,          0.568960814514176, 0.242195958154985, 0.175221521556568,          0.812249060303789, 0.188162247463955, 0.0870960802892481,          0.405953132327172, 0.876234606673171), PROX_CHAS = c(0.142060383584178,          0.0863783451683255, 0.277543603442508, 0.128042490192306,          0.206110482646065, 0.178111672550416, 0.178111672550416,          0.218296317772089, 0.102023856475547, 0.123235071398074,          0.101928728560798, 0.159478805927642, 0.215228497760129,          0.218904529587093, 0.170601730776313, 0.317481852326526,          0.160774225575301, 0.081875317774622, 0.170717118999449,          0.477517805288537), PROX_SUPERMARKET = c(0.142061131074292,          0.0863776808909183, 0.277543419111335, 0.128042463684685,          0.283037745664543, 0.17811123384324, 0.17811123384324,          0.218296734885766, 0.57240719914765, 0.399183655269817,          0.218983947734938, 0.159478664733051, 0.353026966783941,          0.204979568486045, 0.137275095711229, 0.442251956603444,          0.189660657064324, 0.0873208554119548, 0.323117190327721,          0.422051752195747), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 0L, 1L, 0L, 0L, 0L, 2L, 1L, 1L, 0L, 1L, 0L, 0L,          1L, 0L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 4L,          3L, 4L, 3L, 4L, 4L, 4L, 2L, 3L, 2L, 5L, 3L, 4L, 5L, 2L,          6L, 6L, 2L, 1L), WITHIN_350M_BUS = c(7L, 4L, 6L, 6L,          5L, 8L, 8L, 6L, 10L, 9L, 8L, 8L, 8L, 8L, 10L, 8L, 11L,          11L, 8L, 4L), WITHIN_1KM_PRISCH = c(4L, 4L, 5L, 4L, 4L,          4L, 4L, 4L, 5L, 4L, 4L, 6L, 4L, 5L, 5L, 4L, 5L, 5L, 4L,          3L), DNeighbour = c(0, 224.463851493838, 232.952520864832,          371.847912303485, 387.142715772358, 408.598761578097,          409.869606411934, 441.126728942426, 445.727505355162,          515.761342884613, 527.541580050944, 533.805970241543,          565.106719301844, 588.55904144366, 590.827297816112,          606.626759478461, 636.635772975584, 667.57244892931,          685.455446339983, 693.286059540435)), row.names = c("206",      "788", "351", "150", "896", "49", "595", "26", "22", "804",      "708", "83", "184", "848", "945", "198", "798", "872", "294",      "833"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.801336977796554,      0.78693905249737, 0.507403472360414, 0.473578586633629, 0.425950087347529,      0.423130028141073, 0.354195013731911, 0.344162697870475,      0.199413447920048, 0.177229895029111, 0.165774352621702,      0.112620805272149, 0.0780079206240354, 0.0749298843816024,      0.0549299162292121, 0.0245700807101046, 0.00530032135716784,      0.000504553674965215, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1519239214 
R squared (OOB):                  0.1366816 

$Forests[[207]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(462000, 443000, 447888,      459000, 445000, 382000, 430000, 425000, 418000, 418000, 345000,      425000, 395000, 442500, 418888, 318000, 358000, 450000, 415000,      390000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 92, 93,      92, 92, 90, 93, 93, 92, 92, 90, 104, 92, 92, 92), storey_order = c(5L,      5L, 5L, 4L, 4L, 1L, 5L, 5L, 5L, 3L, 5L, 4L, 2L, 6L, 3L, 3L,      4L, 4L, 2L, 1L), remaining_lease_mths = c(1134, 1134, 1137,      1138, 1133, 1111, 1137, 1134, 1142, 1134, 937, 1134, 1138,      1138, 1136, 968, 815, 1135, 1132, 1132), PROX_CBD = c(14.1475961545785,      14.1475961545785, 14.1475961545785, 14.1715462602585, 14.1149653809405,      14.29200158436, 14.2919055230493, 14.3486805845321, 14.4012043650842,      14.318757359464, 14.2787185061121, 14.318757359464, 14.318757359464,      14.4158973706441, 14.4158973706441, 14.1338242827509, 14.0960645211931,      14.5310939664424, 14.6122009832922, 14.6424103631698), PROX_ELDERLYCARE = c(2.03155968851809,      2.03155968851809, 2.03155968851809, 2.09595649451453, 2.12564955085825,      2.00367987562091, 2.08663557441472, 2.08279710659019, 1.94149260139439,      2.13920478430288, 1.77826193055387, 2.13920478430288, 2.13920478430288,      1.86115765343828, 1.86115765343828, 2.28550514148655, 1.70531999087377,      1.79186944623163, 1.68824062303628, 1.72557175775889), PROX_HAWKER = c(1.0452124348096,      1.0452124348096, 1.0452124348096, 1.11030496241672, 1.06810792734919,      1.05572120633707, 1.13160866269818, 1.11865892678262, 0.977925494011815,      1.17625726432186, 0.865181709866835, 1.17625726432186, 1.17625726432186,      0.900970586039013, 0.900970586039013, 1.19906286300234, 0.845358517598031,      0.816792492128141, 0.707122679385598, 0.740384095011384),          PROX_MRT = c(0.206896355650083, 0.206896355650083, 0.206896355650083,          0.236487582928319, 0.282489779359316, 0.129588785375857,          0.215635082050947, 0.228370105834555, 0.117672709296806,          0.277525006355607, 0.14195902454703, 0.277525006355607,          0.277525006355607, 0.0830542408041225, 0.0830542408041225,          0.414064606154384, 0.217341234217998, 0.197201307651512,          0.295449456212788, 0.312698200175978), PROX_PARK = c(1.52292224478236,          1.52292224478236, 1.52292224478236, 1.59201213147604,          1.55223981690243, 1.659682039687, 1.71136953372848, 1.76668334590621,          1.73691437359179, 1.77227256709076, 1.51686048726609,          1.77227256709076, 1.77227256709076, 1.70853765465547,          1.70853765465547, 1.68789157401301, 1.27300714898888,          1.79335149216305, 1.76906915549279, 1.78460824921244),          PROX_GOOD_PRISCH = c(5.43570837857945, 5.43570837857945,          5.43570837857945, 5.50129862889456, 5.45814117537329,          5.57470277830303, 5.62322031775431, 5.67955556528646,          5.65284274036128, 5.68167095374807, 5.42826997650874,          5.68167095374807, 5.68167095374807, 5.62289607338158,          5.62289607338158, 5.57754198399205, 5.17863906457975,          5.7030752613132, 5.7298925008129, 5.77937603269072),          PROX_MALL = c(0.329425359540921, 0.329425359540921, 0.329425359540921,          0.405991175981987, 0.377565489031552, 0.462705775504015,          0.517951444315281, 0.571430807201143, 0.544441659044551,          0.582562895872492, 0.338911837083335, 0.582562895872492,          0.582562895872492, 0.475045953779526, 0.475045953779526,          0.547412994688805, 0.243284841315127, 0.466036051693473,          0.426875162675013, 0.482269498416602), PROX_CHAS = c(0.188783823394846,          0.188783823394846, 0.188783823394846, 0.12657377242065,          0.179884741524278, 0.0888572682655253, 3.54155757628082e-08,          0.0590253437170886, 0.0706873614354785, 0.0707174365033835,          0.18872293939054, 0.0707174365033835, 0.0707174365033835,          0.0420419616737589, 0.0420419616737589, 0.219091723429967,          0.132339190026647, 0.162368565956873, 0.270793953405505,          0.280031834846542), PROX_SUPERMARKET = c(0.235757849482592,          0.235757849482592, 0.235757849482592, 0.248308073473709,          0.299769914037237, 0.124391003677116, 0.199383936085002,          0.199153546859355, 0.0706874850207218, 0.25307995359875,          0.188722783027928, 0.25307995359875, 0.25307995359875,          0.0420421510628514, 0.0420421510628514, 0.41091265647621,          0.226949559622758, 0.162368758687164, 0.270794118098451,          0.280032026158491), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 5L, 6L, 5L, 5L, 4L, 5L, 4L, 6L, 4L, 4L, 5L, 5L, 3L,          7L, 4L, 5L, 3L), WITHIN_350M_BUS = c(6L, 6L, 6L, 5L,          5L, 5L, 4L, 4L, 6L, 3L, 8L, 3L, 3L, 7L, 7L, 3L, 9L, 8L,          6L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L,          3L, 3L, 3L, 3L, 4L, 3L, 3L, 4L, 4L, 3L, 5L, 3L, 4L, 3L         ), DNeighbour = c(0, 3.53950695323816, 4.86282568103855,          91.2613148279514, 103.493255054686, 147.601046747993,          189.696743447319, 244.653608060244, 246.707868430371,          247.243731348301, 254.06870365006, 255.042124893804,          255.745220300533, 272.200426562165, 274.006453754348,          274.128647804436, 392.661622892051, 396.993423235882,          503.455652379982, 517.050558018931)), row.names = c("207",      "966", "623", "277", "519", "989", "267", "217", "633", "58",      "329", "205", "840", "33", "100", "120", "880", "609", "489",      "323"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999906278477099,      0.999823102307135, 0.938663460604077, 0.92147645753722, 0.843657678227019,      0.74891250998609, 0.602344706578889, 0.596498348085739, 0.594969979023066,      0.5753904175967, 0.572581574687087, 0.570550380820197, 0.52251516923213,      0.517194270437835, 0.516833979909629, 0.179159348676385,      0.168491536577837, 0.00269309488098573, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1050275860 
R squared (OOB):                  0.3122177 

$Forests[[208]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 314000, 297000,      325000, 330000, 315000, 320000, 375000, 335000, 3e+05, 392000,      343000, 388000, 363000, 417000, 340888, 355000, 335000, 333000,      491000), floor_area_sqm = c(90, 91, 90, 90, 91, 90, 91, 108,      105, 106, 113, 107, 104, 104, 92, 107, 104, 114, 108, 92),          storey_order = c(3L, 3L, 2L, 5L, 1L, 5L, 8L, 2L, 2L,          2L, 2L, 2L, 6L, 5L, 2L, 4L, 4L, 3L, 4L, 9L), remaining_lease_mths = c(979,          985, 995, 992, 987, 1001, 995, 909, 938, 941, 933, 907,          904, 918, 1120, 883, 882, 904, 895, 1137), PROX_CBD = c(17.0600275230943,          17.0716695500607, 16.901501451739, 17.2610384590751,          17.2817356498826, 16.8082045368238, 16.7093180086981,          16.9875722318911, 17.3741762112269, 17.3741762112269,          16.6579104452557, 17.2160129653012, 16.3777502460772,          16.295166477654, 16.7161737209409, 16.7669966667855,          16.7669966667855, 16.3642048862006, 16.5397910410307,          15.0782917837809), PROX_ELDERLYCARE = c(1.09431476347566,          1.21621641692937, 1.16689850532437, 1.12094638660826,          1.19353475005496, 1.15380285023885, 0.935779967581661,          0.636322412867891, 0.815153211361198, 0.815153211361198,          0.409372351007212, 0.574386357445605, 0.465083314136851,          0.514795208711411, 9.26628957858198e-07, 0.121542639162494,          0.121542639162494, 0.361422596457277, 0.706939892416911,          0.811417024562957), PROX_HAWKER = c(2.18272534115171,          2.2102134433082, 2.0413146444202, 2.37726799660773, 2.40388099430384,          1.94950915107796, 1.82495077083007, 2.10596394293278,          2.50067722531469, 2.50067722531469, 1.80129318596364,          2.37357884684332, 1.54627052523026, 1.47281657351752,          1.96687058888139, 2.05474291859885, 2.05474291859885,          1.67761333691466, 2.14655926815246, 0.241120378832392         ), PROX_MRT = c(0.673816738147829, 0.793158171270894,          0.740013435080822, 0.729621307242001, 0.797812759521718,          0.730447684580082, 0.522077155701705, 0.252669932820992,          0.590831178240684, 0.590831178240684, 0.128609360773056,          0.453815632281196, 0.419412974707088, 0.504795745143921,          0.427108887982576, 0.53300655679357, 0.53300655679357,          0.653367521351592, 0.460645764817668, 0.604690005035212         ), PROX_PARK = c(1.5130077643247, 1.59669720594139, 1.46267930314228,          1.64853798443183, 1.70244245234235, 1.39545287332227,          1.17885821480356, 1.18807543108152, 1.47164498360674,          1.47164498360674, 0.826869373992433, 1.24959985284921,          0.571339732684777, 0.48638578612152, 0.688779163701323,          0.722711239268322, 0.722711239268322, 0.32735774848914,          0.711243459523284, 0.889047622652367), PROX_GOOD_PRISCH = c(7.76907239486735,          7.82238149093771, 7.66085245964853, 7.93716312588154,          7.98012169831377, 7.5739079893598, 7.40748446052123,          7.55033959010056, 7.888904100652, 7.888904100652, 7.18541951227303,          7.68034428555912, 6.89348817522951, 6.80828229467371,          7.12110535783693, 7.13952904562396, 7.13952904562396,          6.76031366250815, 6.77397603493671, 5.77803713337603),          PROX_MALL = c(0.597930181439745, 0.719585865775528, 0.678684538412688,          0.644198936007264, 0.713200150273906, 0.677813655888015,          0.484270435079706, 0.165557901737932, 0.521008948961951,          0.521008948961951, 0.168053149288668, 0.413606644895247,          0.427317836890542, 0.510483215269896, 0.337595745740984,          0.27529824968273, 0.27529824968273, 0.388175183991252,          0.345326846187852, 0.79347213158724), PROX_CHAS = c(0.638199243310692,          0.760340467100735, 0.720584477651296, 0.678651577140463,          0.748586514709626, 0.71936188995133, 0.52365796939069,          0.194474796894964, 0.524369302913132, 0.524369302913132,          0.170995488718356, 0.303266380929536, 0.429996386722335,          0.513107963149175, 0.279591917356114, 0.222759343861358,          0.222759343861358, 0.380772978950647, 0.286223989121013,          0.128222338920945), PROX_SUPERMARKET = c(0.718466194952364,          0.837223205851576, 0.780695486504835, 0.771245719522698,          0.842475689687135, 0.768274584157999, 0.555366708418936,          0.284398337107734, 0.559408220033625, 0.559408220033625,          0.103652200866821, 0.387759857324111, 0.386156989530241,          0.471223408024363, 0.344537051235884, 0.243987988302975,          0.243987988302975, 0.422789252098693, 0.377165028023417,          0.286089695736963), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L,          2L, 2L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          1L, 3L, 3L, 1L, 1L, 4L, 4L, 4L, 5L, 5L, 3L, 3L, 6L, 5L,          5L, 4L, 1L, 3L), WITHIN_350M_BUS = c(7L, 5L, 7L, 5L,          5L, 9L, 8L, 11L, 2L, 2L, 9L, 5L, 8L, 7L, 12L, 11L, 11L,          6L, 2L, 10L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L,          2L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 3L, 3L, 3L, 3L,          4L), DNeighbour = c(0, 129.495321752182, 194.564550849371,          213.221023557886, 223.946737680331, 277.181893602853,          362.854659989697, 470.687984930128, 654.129127671718,          657.022649337922, 750.710666802618, 785.433184136684,          986.018286522408, 1056.47945345189, 1092.94022166141,          1190.35389829078, 1194.08206374996, 1311.0930710771,          1800.83644132344, 2025.61812417296)), row.names = c("208",      "431", "416", "525", "127", "121", "156", "125", "822", "813",      "918", "326", "820", "451", "261", "673", "898", "252", "498",      "568"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.991842921526337,      0.981633168201679, 0.977962507091054, 0.975703595195841,      0.962901239940623, 0.936852550931106, 0.894926040838395,      0.802309670339515, 0.800654123949348, 0.744164279658644,      0.721905174715018, 0.582246903403006, 0.529949293977406,      0.502505506885859, 0.428589956126683, 0.425757928609136,      0.337630647738099, 0.0439424899153111, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1711008718 
R squared (OOB):                  0.1716834 

$Forests[[209]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(518000, 515000, 492000,      550000, 507000, 592000, 635000, 480000, 420000, 475000, 455000,      335000, 315000, 380000, 480000, 330000, 340000, 355000, 330000,      380000), floor_area_sqm = c(88, 105, 84, 105, 105, 108, 105,      84, 84, 89, 95, 84, 91, 100, 104, 91, 91, 91, 84, 103), storey_order = c(3L,      2L, 4L, 3L, 2L, 2L, 4L, 1L, 2L, 1L, 2L, 2L, 1L, 4L, 2L, 4L,      1L, 3L, 4L, 1L), remaining_lease_mths = c(770, 762, 788,      786, 770, 810, 833, 789, 777, 789, 784, 791, 722, 931, 777,      777, 786, 763, 806, 923), PROX_CBD = c(7.79515244158294,      7.9455961592131, 7.5632891932167, 7.59960912304084, 7.67544881001386,      7.18468073982128, 7.22087947204147, 7.1729887096531, 7.13486939655985,      7.05609226259357, 7.49071683084666, 9.13853516155078, 8.21547938057256,      8.15573636625741, 8.81196120759187, 9.37335060635629, 9.37335060635629,      9.41668106440496, 9.63621863936401, 8.21483984631558), PROX_ELDERLYCARE = c(1.83577537822547,      1.77517839654503, 1.91313469252559, 1.85656629786719, 1.73611556579875,      1.63490637838594, 1.54373359073656, 1.69705296801524, 1.66246099208497,      1.59520672965634, 1.54524415115482, 1.86142420062345, 0.425001866306461,      0.30639563225599, 0.68560621126507, 1.66235796621519, 1.66235796621519,      1.6892356184521, 1.48805339077067, 0.287120499253456), PROX_HAWKER = c(1.19066876388205,      0.800389309546525, 1.10032443578502, 1.04404154823438, 0.926505356032751,      1.02937341390922, 1.05968958012269, 1.25907896080059, 1.23225985170817,      1.17571504816288, 0.996854886033364, 0.823671555860494, 0.272525769496456,      0.288074572046437, 0.290355020850324, 0.823170476035045,      0.823170476035045, 0.864780296064508, 0.677896697868769,      0.248204869380096), PROX_MRT = c(0.499752126280618, 0.75069701440163,      0.433934859087748, 0.492673618184051, 0.617354557404891,      0.13577722868059, 0.206889953987817, 0.428812034955963, 0.448181123975075,      0.487588773645627, 0.34804043957783, 1.58022074581844, 0.877462529610437,      0.998476915081282, 0.425157896719621, 2.01327082024864, 2.01327082024864,      2.02952953118228, 1.32502198166586, 1.08736551837768), PROX_PARK = c(0.723268787935639,      0.364839433462782, 0.474041874627479, 0.415297912555755,      0.29052205197453, 0.802458220215738, 0.769170147627311, 0.405529884687165,      0.367092279962757, 0.288106802683489, 0.292176487074364,      0.533109662164166, 0.34344129155164, 0.465482353353317, 0.468007817587664,      0.548771819269344, 0.548771819269344, 0.564264159971047,      0.202594030185392, 0.587773758099403), PROX_GOOD_PRISCH = c(1.9917971907287,      1.79538098544694, 2.17804686625686, 2.14133679267892, 2.0690813845722,      2.6636605310312, 2.65891054731874, 2.56840479702555, 2.60671936453148,      2.64150694603645, 2.30076298730527, 0.605615063995802, 2.64672046335999,      2.76944558246381, 2.18636815139252, 0.581790960048334, 0.581790960048334,      0.555662252109323, 0.53169554186008, 2.8757656049093), PROX_MALL = c(0.483735594398556,      0.730136421618933, 0.413593098419561, 0.472342316185911,      0.59706101530086, 0.319563922107573, 0.389192825268572, 0.42122511428052,      0.44210957307938, 0.487675149993812, 0.79872232386887, 0.925377142856182,      0.807676293785945, 0.92903564794814, 0.389401354829447, 0.835862391091354,      0.835862391091354, 0.873946799305891, 0.564979440463645,      1.020621498239), PROX_CHAS = c(0.157541179554435, 0.312128892467037,      5.15903103580734e-08, 0.0587537711423344, 0.183520259224292,      0.244287808759251, 0.201367273106442, 0.364873472162596,      0.395328272461269, 0.464118937564998, 0.204927614889482,      0.179557542480515, 0.136581974857907, 0.211513021624011,      0.210741683871549, 0.240374554675797, 0.240374554675797,      0.248119447519373, 0.204909081807225, 0.132091194783373),          PROX_SUPERMARKET = c(0.305647853022819, 0.390939423908347,          0.0709823460282706, 0.121599745844786, 0.242167451420959,          0.350395790631763, 0.425467495913439, 0.372543253077343,          0.392878094873427, 0.438288204779491, 0.535956758401375,          0.223142170833011, 0.281285688066644, 0.324462496048725,          0.365648379234028, 0.322141005481158, 0.322141005481158,          0.315469124538892, 0.145410708854306, 0.249780587504203         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 2L, 0L, 2L, 1L, 1L, 2L, 0L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 4L, 4L, 5L, 5L, 6L,          7L, 3L, 4L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 1L         ), WITHIN_350M_BUS = c(10L, 7L, 9L, 8L, 8L, 12L, 11L,          8L, 7L, 5L, 4L, 11L, 8L, 8L, 7L, 5L, 5L, 6L, 7L, 8L),          WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 4L, 4L, 1L, 1L, 3L,          3L, 2L, 4L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 2L), DNeighbour = c(0,          396.39124794738, 403.25949787994, 426.948900195767, 498.990166543084,          682.365062295698, 695.897969596155, 737.281759135647,          777.00209280471, 849.40560192674, 854.398153018738, 1423.55193756534,          1608.4436454871, 1685.46031806945, 1705.19130773993,          1776.95487873218, 1777.39300418822, 1816.06567802501,          1839.37683763426, 1848.47300301059)), row.names = c("209",      "345", "829", "735", "647", "370", "344", "133", "82", "449",      "950", "485", "691", "435", "465", "334", "737", "725", "189",      "60"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.910143468844314,      0.907079113541204, 0.896148280700885, 0.859567242750104,      0.746025672665081, 0.736625640939005, 0.707130938756307,      0.677835214514747, 0.622274402836148, 0.618352913936351,      0.165575961600494, 0.0589731184319002, 0.0284254307627293,      0.0222065849642057, 0.00575835351898754, 0.00568939225525976,      0.00120801559485237, 9.63852783255644e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9582828592 
R squared (OOB):                  -0.05793351 

$Forests[[210]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 420000, 347000,      320000, 370000, 335000, 325000, 680000, 660000, 390000, 3e+05,      380000, 735000, 365000, 350000, 388800, 333000, 562000, 540000,      462000), floor_area_sqm = c(92, 92, 90, 90, 84, 83, 82, 87,      87, 92, 92, 92, 97, 83, 92, 98, 89, 107, 107, 105), storey_order = c(2L,      5L, 5L, 2L, 3L, 3L, 4L, 6L, 3L, 1L, 2L, 4L, 6L, 1L, 4L, 2L,      1L, 7L, 6L, 1L), remaining_lease_mths = c(687, 694, 672,      672, 673, 687, 666, 1076, 1066, 685, 691, 693, 1066, 777,      688, 697, 692, 957, 969, 965), PROX_CBD = c(10.571248724537,      10.5902646894981, 10.5036676165143, 10.5036676165143, 10.6549850760698,      10.5501175985891, 10.0782341562763, 10.1126951054664, 10.1126951054664,      10.3184291669162, 10.7273754880637, 10.7273754880637, 9.96973817000633,      11.0884508558618, 10.7428660694501, 10.7178846249378, 10.7178846249378,      10.9472701195372, 11.0486323727393, 10.9320040827019), PROX_ELDERLYCARE = c(0.426373779355343,      0.476382036969741, 0.346712236264009, 0.346712236264009,      0.531453703929196, 0.724362239545807, 0.248412112584261,      0.511544492658224, 0.511544492658224, 0.724299376510179,      0.968089576161562, 0.968089576161562, 0.560133969723593,      1.02650055154577, 1.00386291289403, 0.903749132751209, 0.903749132751209,      0.867518349265545, 0.974567200018427, 0.83761180429981),          PROX_HAWKER = c(0.155284554597335, 0.142004884371921,          0.255376275980047, 0.255376275980047, 0.345053577007401,          0.496328097640832, 0.250435976222025, 0.268370020499938,          0.268370020499938, 0.285348407142059, 0.259491073356982,          0.259491073356982, 0.246219700947935, 0.698836827436486,          0.19921426515349, 0.131164348467149, 0.131164348467149,          0.429153921265228, 0.436692566666558, 0.499252912381913         ), PROX_MRT = c(0.822399768635659, 0.793335563342317,          0.908007357991278, 0.908007357991278, 0.849090589690401,          0.92637591011884, 0.622308556906305, 0.549740095282867,          0.549740095282867, 0.752281430413819, 0.880392787161762,          0.880392787161762, 0.405168801785449, 0.761094255738083,          0.911557541227745, 0.897030842789514, 0.897030842789514,          0.638393210693291, 0.741783227751877, 0.582189406643083         ), PROX_PARK = c(0.471129460807546, 0.57091664624863,          0.381418159266178, 0.381418159266178, 0.204920490916151,          0.888350706343443, 0.627458410441261, 0.878497256111703,          0.878497256111703, 1.05219739289641, 0.675703893946554,          0.675703893946554, 0.868342722448078, 0.300475000526789,          0.65460215425144, 0.68415716278098, 0.68415716278098,          0.730900012581548, 0.644279497097323, 0.802226928628916         ), PROX_GOOD_PRISCH = c(0.876989954992127, 0.962114901666907,          0.825686703361669, 0.825686703361669, 0.576127248022356,          1.37609088117382, 1.26151864262594, 1.46177539101005,          1.46177539101005, 1.54472866778257, 1.51964159199475,          1.51964159199475, 1.55873028154778, 0.293049282005855,          1.57772010642862, 1.69245386393467, 1.69245386393467,          1.50789829567152, 1.50173151878208, 1.4460454342776),          PROX_MALL = c(0.872531493441133, 0.838333779631814, 0.873995522285645,          0.873995522285645, 1.12054305374088, 0.693136328895784,          0.418279044459304, 0.269774803261538, 0.269774803261538,          0.472532088410597, 0.885934538444454, 0.885934538444454,          0.129560175686973, 1.6122764231009, 0.913300066979642,          0.922177591154216, 0.922177591154216, 1.34630282297423,          1.41292867182356, 1.37776203899083), PROX_CHAS = c(0.109732367463933,          0.0950095589968322, 0.217153936659979, 0.217153936659979,          0.290835710912963, 0.120595382532287, 0.186550674976261,          0.20472250196774, 0.20472250196774, 0.165961529218061,          0.161497017697243, 0.161497017697243, 0.0647243745052949,          0.206694589078668, 0.184868017131885, 0.141741960002869,          0.141741960002869, 0.344403926608958, 0.375455350402476,          0.293630149165848), PROX_SUPERMARKET = c(0.199099262156692,          0.190547463602814, 0.291549431934698, 0.291549431934698,          0.292451786949051, 0.448117335537485, 0.255147915067147,          0.35798039621586, 0.35798039621586, 0.447507928623339,          0.294310303883692, 0.294310303883692, 0.241122798862169,          0.293331714819264, 0.247977273863763, 0.141741503991008,          0.141741503991008, 0.381194313170787, 0.408205375796458,          0.445162931243089), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 0L, 1L, 2L,          2L, 2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 2L,          2L, 2L, 1L, 2L, 5L, 6L, 6L, 4L, 3L, 3L, 6L, 3L, 3L, 4L,          4L, 0L, 0L, 0L), WITHIN_350M_BUS = c(5L, 6L, 6L, 6L,          7L, 6L, 5L, 6L, 6L, 7L, 4L, 4L, 7L, 8L, 5L, 6L, 6L, 2L,          2L, 0L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 5L,          2L, 3L, 3L, 5L, 5L, 5L, 2L, 1L, 5L, 5L, 5L, 4L, 3L, 4L         ), DNeighbour = c(0, 100.998395726167, 111.386778195307,          117.540627459353, 310.715800186151, 512.523147816003,          512.539039813637, 613.499991007701, 616.511190169372,          662.46006769003, 704.250154347254, 708.934222554352,          743.766063403182, 759.602746023206, 770.273468004922,          870.416936280379, 879.381374502545, 1395.13102888694,          1395.36267619655, 1457.87583084621)), row.names = c("210",      "701", "482", "940", "728", "778", "84", "316", "506", "97",      "648", "651", "471", "98", "43", "429", "914", "255", "630",      "671"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.990424213752724,      0.98835909460867, 0.987041608198509, 0.911215294103269, 0.76809320857003,      0.768079774033385, 0.677184887222991, 0.674319845128996,      0.629673729733044, 0.587748083288426, 0.582982418068374,      0.547193794248427, 0.530746728277531, 0.519614368372949,      0.414140783638072, 0.404696336590149, 0.00709380086528568,      0.00704266190432984, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3968324424 
R squared (OOB):                  0.7693201 

$Forests[[211]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 398000, 350888,      390000, 380000, 418000, 4e+05, 4e+05, 4e+05, 418000, 380000,      676000, 663000, 655000, 655000, 640000, 390000, 462000, 562000,      333000), floor_area_sqm = c(92, 92, 93, 92, 92, 92, 92, 104,      98, 91, 93, 87, 87, 87, 87, 87, 92, 105, 107, 89), storey_order = c(1L,      3L, 3L, 1L, 4L, 4L, 4L, 2L, 4L, 5L, 3L, 3L, 4L, 5L, 1L, 4L,      1L, 1L, 7L, 1L), remaining_lease_mths = c(699, 714, 712,      711, 695, 691, 690, 751, 718, 774, 724, 1120, 1124, 1121,      1123, 1121, 685, 965, 957, 692), PROX_CBD = c(9.97016469840266,      9.95525560808738, 9.68679892421183, 9.71066487891121, 9.61422948612377,      9.61422948612377, 9.59976569988281, 9.83498872427818, 9.5915755681771,      9.35032791665702, 9.50206510185676, 9.49727834386093, 9.49727834386093,      9.49727834386093, 9.39818328429371, 9.42381765287156, 10.3184291669162,      10.9320040827019, 10.9472701195372, 10.7178846249378), PROX_ELDERLYCARE = c(0.14040561650552,      0.150508443509651, 0.35495808488012, 0.385358274245319, 0.28812103687201,      0.28812103687201, 0.239547661796275, 0.611336059876525, 0.558000418748021,      0.227789996497476, 0.619429799229152, 0.735218745429302,      0.735218745429302, 0.735218745429302, 0.718190414835305,      0.750155484045513, 0.724299376510179, 0.83761180429981, 0.867518349265545,      0.903749132751209), PROX_HAWKER = c(0.15909114400288, 0.153089379504462,      0.221606053969191, 0.39402887106119, 0.398658919868918, 0.398658919868918,      0.436761476721694, 0.54583502916026, 0.434568479089541, 0.508896406641727,      0.518318645141504, 0.639074974233661, 0.639074974233661,      0.639074974233661, 0.640059738279374, 0.667492197519696,      0.285348407142059, 0.499252912381913, 0.429153921265228,      0.131164348467149), PROX_MRT = c(0.494111782173202, 0.521845664201362,      0.760373725070279, 0.746020760246364, 0.667432439829923,      0.667432439829923, 0.619962862184004, 0.722241727367494,      0.656590823238566, 0.569946398217962, 0.533910829474844,      0.499971219475903, 0.499971219475903, 0.499971219475903,      0.401734036242065, 0.423547456258288, 0.752281430413819,      0.582189406643083, 0.638393210693291, 0.897030842789514),          PROX_PARK = c(0.68588072489708, 0.730503149795042, 0.664893225436512,          0.914740437498633, 0.922231693079911, 0.922231693079911,          0.957886982704992, 0.296755194228525, 0.355705093322714,          0.726258134328713, 0.26219477257436, 0.298527066745392,          0.298527066745392, 0.298527066745392, 0.220484561261844,          0.258916726718906, 1.05219739289641, 0.802226928628916,          0.730900012581548, 0.68415716278098), PROX_GOOD_PRISCH = c(1.97396491196204,          2.01039924795066, 2.17803171840573, 2.31351362539819,          2.38715383730665, 2.38715383730665, 2.35345437748376,          1.88657748145099, 2.11809049366399, 2.41566392235711,          2.18628235132699, 2.17599822879711, 2.17599822879711,          2.17599822879711, 2.27458198186913, 2.24680049319454,          1.54472866778257, 1.4460454342776, 1.50789829567152,          1.69245386393467), PROX_MALL = c(0.802483711672914, 0.757457219803541,          0.796976758090547, 0.505770857705003, 0.43353114329251,          0.43353114329251, 0.387669919047214, 1.23747152538927,          1.22478662403239, 0.406203001531397, 1.32833110917602,          1.45007786498113, 1.45007786498113, 1.45007786498113,          1.45650167595406, 1.48330987402926, 0.472532088410597,          1.37776203899083, 1.34630282297423, 0.922177591154216         ), PROX_CHAS = c(0.187394625423847, 0.144412947448491,          0.0707228333244178, 0.255589678637005, 0.28666502826278,          0.28666502826278, 0.263208245292117, 0.352730820744124,          0.346218272658546, 0.146235674893272, 0.219477506246216,          0.101351467161616, 0.101351467161616, 0.101351467161616,          0.109789289200213, 0.0719365450960561, 0.165961529218061,          0.293630149165848, 0.344403926608958, 0.141741960002869         ), PROX_SUPERMARKET = c(0.215556112381702, 0.204623167766534,          0.128382981112681, 0.363062686357781, 0.396736556610776,          0.396736556610776, 0.44091986097032, 0.324694852199881,          0.300584979098838, 0.347306649978202, 0.191210069763785,          0.0715849245259307, 0.0715849245259307, 0.0715849245259307,          0.13637298984998, 0.100679215951394, 0.447507928623339,          0.445162931243089, 0.381194313170787, 0.141741503991008         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 1L, 2L, 2L,          2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 2L, 3L, 3L,          4L, 1L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 4L, 0L, 0L, 4L         ), WITHIN_350M_BUS = c(9L, 9L, 10L, 13L, 11L, 11L, 11L,          3L, 5L, 9L, 2L, 4L, 4L, 4L, 6L, 5L, 7L, 0L, 2L, 6L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L,          2L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 5L, 4L, 4L, 5L), DNeighbour = c(0,          39.1135878247518, 291.605993159234, 339.861106905463,          451.063203487401, 456.579547621866, 493.554141952657,          527.082023844153, 647.622755148308, 735.632061999741,          779.649810555415, 884.363984044875, 890.209798914127,          890.993451989054, 945.599506437528, 950.264131601055,          971.675841717594, 976.305401480225, 1014.62762889859,          1016.33106411858)), row.names = c("211", "971", "946",      "776", "603", "499", "964", "659", "746", "37", "539", "593",      "466", "731", "657", "9", "97", "671", "255", "914"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.997039990061891, 0.842130623200813, 0.788857744935567,      0.644854037718862, 0.637092569711049, 0.58395566370445, 0.534421008562425,      0.352782949783328, 0.226668337897158, 0.16935200271753, 0.058967851116663,      0.0541911133492729, 0.0535637797057713, 0.0180489903872816,      0.0158218562309963, 0.00738651341361735, 0.00596200599816738,      1.12179274247623e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10880562975 
R squared (OOB):                  0.2854468 

$Forests[[212]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(495000, 537000, 518000,      483000, 535000, 425000, 5e+05, 553000, 520000, 455000, 412000,      455000, 393000, 360000, 362500, 448000, 450000, 395000, 415000,      420000), floor_area_sqm = c(93, 93, 93, 93, 93, 104, 93,      93, 93, 112, 104, 113, 103, 84, 103, 116, 106, 106, 103,      106), storey_order = c(2L, 4L, 2L, 2L, 3L, 3L, 3L, 4L, 3L,      1L, 2L, 5L, 2L, 3L, 3L, 3L, 4L, 2L, 3L, 3L), remaining_lease_mths = c(1131,      1128, 1132, 1129, 1131, 871, 1131, 1134, 1133, 896, 878,      824, 818, 811, 819, 827, 834, 834, 834, 874), PROX_CBD = c(14.1234549986629,      14.1022978560303, 14.0392008059995, 13.9851487819813, 13.9851487819813,      14.0236082538335, 13.8777465201196, 13.8021184722805, 13.7835124985007,      14.0913802169285, 14.1313829663274, 14.8805910833212, 14.8805910833212,      14.7472020389823, 14.3801998083441, 15.1039483662242, 15.1256206124729,      15.1256206124729, 15.1256206124729, 13.629257933267), PROX_ELDERLYCARE = c(1.35242241046818,      1.39999761805574, 1.32747908409073, 1.27246652758392, 1.27246652758392,      1.09340394122649, 1.14875617578224, 1.08391670289184, 1.04590518035641,      1.71411655426264, 0.836104821253693, 1.53481387371296, 1.53481387371296,      1.19052284520552, 0.709377020411434, 1.55233595008815, 1.5866097118695,      1.5866097118695, 1.5866097118695, 0.207468408301612), PROX_HAWKER = c(0.458626901673037,      0.488105393549706, 0.543253862226502, 0.59565400543288, 0.59565400543288,      0.594999289424802, 0.709523473368326, 0.792084042786722,      0.817574416707151, 0.659732742059419, 0.73352935155883, 0.395563323563994,      0.395563323563994, 0.606039227085063, 0.928921275219278,      0.672854909342646, 0.674198133913936, 0.674198133913936,      0.674198133913936, 1.4012681206183), PROX_MRT = c(0.250036690549804,      0.255700458734308, 0.327704984287647, 0.390641440388092,      0.390641440388092, 0.469886084443941, 0.526263367583387,      0.615458599020507, 0.648112836468654, 0.410797330392975,      0.735653331318593, 0.650195396152393, 0.650195396152393,      0.807097621625513, 1.02650412956774, 0.927742831261867, 0.930587839854138,      0.930587839854138, 0.930587839854138, 0.681065013996815),          PROX_PARK = c(0.469588575534173, 0.52092144022497, 0.547177414231792,          0.580591669210194, 0.580591669210194, 0.504422356794811,          0.548712671125698, 0.476945111703218, 0.438074957540257,          0.524242894978874, 0.463826523913091, 0.355836862982211,          0.355836862982211, 0.432698189125414, 0.71485218383349,          0.613453702116727, 0.625625874274951, 0.625625874274951,          0.625625874274951, 0.403276931712581), PROX_GOOD_PRISCH = c(2.69456588548322,          2.69832814229385, 2.61966269686357, 2.55482099432271,          2.55482099432271, 2.51794344218072, 2.41902859908312,          2.33081910479479, 2.3007469286795, 2.83541955823977,          2.52734391167264, 3.33079371618761, 3.33079371618761,          3.13467644284063, 2.72778429145315, 3.51513652285447,          3.54140201350838, 3.54140201350838, 3.54140201350838,          1.96779323327463), PROX_MALL = c(0.232476208076891, 0.257523814996123,          0.316340524018432, 0.37312896686832, 0.37312896686832,          0.418819234777705, 0.498678106329343, 0.585717052475653,          0.615576551193732, 0.471401908473598, 0.66282583229379,          0.390496575840073, 0.390496575840073, 0.738705771798207,          0.949257633150117, 0.472438990852491, 0.445444903624544,          0.445444903624544, 0.445444903624544, 1.12429495075828         ), PROX_CHAS = c(0.147334233235439, 0.177701329016163,          0.101753514952091, 0.0604900109870272, 0.0604900109870272,          0.151261605672147, 0.133705064347241, 0.221659659627321,          0.253975316505048, 0.471401941314913, 0.528800676490504,          0.448788349522024, 0.448788349522024, 0.19051372613691,          0.453083161817035, 0.353464796953762, 0.387886097439527,          0.387886097439527, 0.387886097439527, 0.260044927245007         ), PROX_SUPERMARKET = c(0.147334782275979, 0.177702101069216,          0.101754383553332, 0.0604908810371704, 0.0604908810371704,          0.151260689076964, 0.133704798830233, 0.221659301316653,          0.253974877653299, 0.471402360745676, 0.528799775767506,          0.447693008221967, 0.447693008221967, 0.326764101800336,          0.513065398645433, 0.429218479578941, 0.411626017932148,          0.411626017932148, 0.411626017932148, 0.288903462518554         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 0L,          0L, 0L, 0L, 2L, 0L, 2L, 2L, 3L, 0L, 2L, 2L, 2L, 2L, 3L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 3L, 3L, 4L,          2L, 2L, 2L, 1L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 6L         ), WITHIN_350M_BUS = c(13L, 11L, 10L, 8L, 8L, 12L, 8L,          5L, 6L, 12L, 6L, 5L, 5L, 9L, 2L, 7L, 6L, 6L, 6L, 6L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L), DNeighbour = c(0,          56.2177604230798, 77.5515799446705, 135.022679061175,          139.877877307745, 262.312581808896, 271.42451727675,          365.99282757326, 396.62211084887, 401.033775533857, 604.494005854523,          810.127403870079, 817.649418429325, 871.157183742056,          959.968364766531, 1080.95121324469, 1091.14856970973,          1097.67728965434, 1098.81397489018, 1152.88454241228)), row.names = c("212",      "815", "218", "938", "819", "51", "579", "275", "380", "352",      "695", "852", "639", "136", "3", "188", "457", "483", "233",      "503"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.995250052562409,      0.990970660579058, 0.972755235748562, 0.970775434496514,      0.899142744757383, 0.892216912407295, 0.808596957951876,      0.777300020033391, 0.772638600470811, 0.525735471196475,      0.256256940663367, 0.247015163008959, 0.184057578728152,      0.0940443173394489, 0.0146156970330441, 0.010864052284161,      0.00873837957703368, 0.00839071701455488, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1749463143 
R squared (OOB):                  0.4960203 

$Forests[[213]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 447000, 422800,      438000, 429000, 435000, 430000, 548000, 376888, 550000, 390000,      450000, 478000, 4e+05, 420000, 412000, 380000, 390000, 390000,      423800), floor_area_sqm = c(84, 107, 104, 104, 104, 103,      104, 93, 104, 93, 104, 105, 104, 91, 104, 103, 104, 103,      102, 104), storey_order = c(2L, 3L, 4L, 2L, 2L, 4L, 2L, 4L,      3L, 3L, 1L, 2L, 5L, 1L, 2L, 4L, 1L, 1L, 2L, 2L), remaining_lease_mths = c(762,      782, 813, 812, 822, 819, 819, 1135, 810, 1137, 809, 757,      770, 783, 922, 918, 924, 773, 763, 756), PROX_CBD = c(11.4815172953657,      11.7840832214562, 11.1672746170477, 11.7215458353159, 11.1191912667925,      11.381621166991, 11.547248638023, 11.1809634086998, 11.622690560426,      11.2116042179965, 11.7882471009294, 11.4573592114175, 11.927322045494,      11.4963900230166, 11.8892341343185, 11.9871965659798, 12.0301392517655,      11.9179556382635, 11.6387779682198, 11.7174653186763), PROX_ELDERLYCARE = c(0.182032582488253,      0.481333190444255, 0.14075304944647, 0.240093333498969, 0.213121327483379,      0.382123855460196, 0.246353759583753, 0.333450295290741,      0.175524774720266, 0.369355324070756, 0.114277277444971,      0.52883250894194, 0.77464979732367, 0.672630859926948, 0.110349805405523,      0.210296865683283, 0.255083942589415, 0.757050983431463,      0.792216801753581, 0.74375074589335), PROX_HAWKER = c(0.728271246274353,      0.436117874461739, 1.04840790050398, 0.609281739536534, 1.08329799955244,      0.863892291353285, 0.837769476188058, 1.04207495818587, 0.783966268147895,      1.02311573056961, 0.647051853283446, 0.848364442784946, 0.445987433628815,      0.804785607263954, 0.684056106771311, 0.625285574708341,      0.598391326300702, 0.581821713307667, 0.61454926069889, 0.5637831570093     ), PROX_MRT = c(0.756359380624344, 0.81394482428473, 0.893429463565323,      0.989064774064853, 0.776456939054752, 0.424871345706255,      1.16228231940478, 0.580267989687754, 1.15515804744233, 0.524888394814585,      1.00317447086964, 0.275269590424193, 0.493642118682657, 0.132306565433056,      1.00424261648768, 0.923336133969517, 0.885297742933312, 0.401552834915971,      0.0844107562606101, 0.162940637784707), PROX_PARK = c(1.50398184725757,      1.20101103678102, 1.25063890429238, 1.28416187507733, 1.13833451608328,      1.31830174708739, 1.4881280763212, 1.13378306757762, 1.41684131410086,      1.15338615463339, 1.24877122811849, 1.3775538710324, 1.17760662255222,      1.41209410927924, 1.19263079577799, 1.09395352284574, 1.04875150887626,      1.26489639581012, 1.51709061898346, 1.5229705853841), PROX_GOOD_PRISCH = c(0.365254403810308,      0.357669915539773, 0.623353133039123, 0.585140695782779,      0.586469336292635, 0.288839241027683, 0.735233663606362,      0.485317217067727, 0.733057242670121, 0.456074275886943,      0.713901761199557, 0.277148461253506, 0.289303568244907,      0.364349890680966, 0.842915880539328, 0.855677549512306,      0.860616187528585, 0.374797987706521, 0.453346371612442,      0.440184840714675), PROX_MALL = c(0.763531318053358, 0.489619370966043,      1.08293003315278, 0.690287469384684, 1.10160019948421, 0.849953313581112,      0.918014501744059, 1.03968747299659, 0.868993594299523, 1.01522535242687,      0.741052769880115, 0.815329638117364, 0.376851773239706,      0.844787863205902, 0.787722851944232, 0.732793638615111,      0.707201836140707, 0.498039402667872, 0.815834004295584,      0.750703947848918), PROX_CHAS = c(0.0516610437101642, 0.0667093090499658,      0.151540147087551, 0.164718468919614, 0.143881852296294,      0.115324197479935, 0.157099147473317, 0.216965800691496,      0.151742844958785, 0.206252010873132, 0.0554870656895364,      0.179820414455961, 0.339292519878925, 0.0697008731150885,      0.124859952031804, 0.171681037809818, 0.202915262499126,      0.258806234431974, 0.0804697697946077, 4.64133788220832e-08     ), PROX_SUPERMARKET = c(0.19171128272723, 0.379080894647373,      0.299482732316256, 0.169255457402684, 0.246182427713253,      0.186698572696543, 0.157098334004615, 0.212835414763751,      0.151741730066283, 0.222574928361305, 0.0453848138423891,      0.301981775400679, 0.405378875546255, 0.441950593919319,      0.114394571204967, 0.172282484091702, 0.20670525505664, 0.542179538393358,      0.596048194106483, 0.609798994765399), WITHIN_350M_KINDERGARTEN = c(0L,      2L, 2L, 2L, 2L, 0L, 1L, 0L, 1L, 0L, 3L, 0L, 0L, 0L, 2L, 2L,      2L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 3L, 6L, 6L,      5L, 4L, 7L, 3L, 7L, 4L, 8L, 4L, 2L, 2L, 8L, 5L, 5L, 2L, 3L,      3L), WITHIN_350M_BUS = c(14L, 7L, 14L, 10L, 9L, 10L, 11L,      7L, 8L, 6L, 9L, 7L, 9L, 8L, 9L, 6L, 7L, 7L, 6L, 5L), WITHIN_1KM_PRISCH = c(3L,      4L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 4L, 3L, 2L, 2L,      2L, 3L, 3L, 3L), DNeighbour = c(0, 302.323991887308, 311.997026142765,      359.658904145436, 371.706978239266, 376.590008332428, 413.938559466769,      420.956107937069, 438.048677795813, 442.009175383986, 491.728909326345,      495.429646742794, 629.080088404694, 637.255620854059, 639.298835168077,      689.061079681309, 715.045767300049, 742.088321909299, 777.78467147065,      784.192292951316)), row.names = c("213", "340", "528", "625",      "845", "744", "598", "178", "750", "347", "508", "843", "666",      "151", "148", "689", "727", "63", "522", "941"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.724834600850071, 0.708474318787264, 0.623551729247325,      0.601127621063378, 0.59194927853843, 0.520375830681226, 0.506721101624804,      0.473299501057635, 0.465533075309841, 0.368214112817188,      0.361039818670322, 0.127073035839375, 0.115353830604087,      0.112490747832264, 0.0519410446784653, 0.0284178780008628,      0.0109200496842794, 0.000264882134719647, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1724499309 
R squared (OOB):                  0.3145097 

$Forests[[214]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 335000, 342000,      316000, 304000, 358888, 428000, 365000, 4e+05, 415000, 420000,      365000, 420000, 390000, 340000, 365000, 420000, 360000, 446000,      370000), floor_area_sqm = c(92, 90, 94, 104, 104, 91, 98,      95, 97, 100, 99, 105, 90, 104, 104, 107, 104, 103, 107, 104     ), storey_order = c(2L, 1L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L,      3L, 2L, 2L, 1L, 1L, 1L, 4L, 1L, 3L, 2L), remaining_lease_mths = c(742,      731, 747, 777, 776, 763, 730, 735, 734, 944, 929, 771, 925,      763, 772, 766, 774, 777, 783, 763), PROX_CBD = c(13.8901285505698,      13.8901285505698, 13.7770670669378, 13.8730731524118, 13.8730731524118,      13.6826822978472, 14.0949321583848, 13.3652677077184, 13.4040436118709,      13.1525533734461, 13.2222340992065, 14.8222691165004, 12.960867808991,      13.1145091682395, 13.1145091682395, 13.578535689825, 15.0460728336845,      13.7231688188033, 13.1163383572019, 13.075732494377), PROX_ELDERLYCARE = c(0.540311266279695,      0.540311266279695, 0.919307603677702, 0.192118066579221,      0.192118066579221, 0.000158780971194199, 1.07365166923746,      0.876024529291782, 0.954835536666776, 0.640770029240432,      0.385934705647939, 0.151522520392741, 0.579007844644764,      0.233566729538939, 0.233566729538939, 0.535215785060316,      0.0734543941007858, 0.681177733621966, 0.258125844069092,      0.206309775801723), PROX_HAWKER = c(0.213123049695643, 0.213123049695643,      0.478671478091809, 0.635045114374877, 0.635045114374877,      0.699744847940348, 0.516176882783883, 0.775887609068758,      0.780321580506598, 0.959649545299011, 1.08380419022874, 0.189112683951821,      1.16344345150942, 1.24018164124527, 1.24018164124527, 0.775756145922257,      0.321243604465073, 0.601426993813282, 1.23349193679857, 1.2806114078583     ), PROX_MRT = c(0.793013171832836, 0.793013171832836, 0.771349314593772,      0.865482366580506, 0.865482366580506, 0.751023886560838,      0.499812381699912, 0.585785046275015, 0.515309591544804,      0.944408516927639, 0.503688459146237, 0.506610369321483,      0.899387073359532, 0.402767024758649, 0.402767024758649,      0.357978123578611, 0.667161579318597, 0.498221170198522,      0.166998983475289, 0.218393806785847), PROX_PARK = c(1.23128896715218,      1.23128896715218, 0.941140572803456, 1.73324375775577, 1.73324375775577,      1.77145949687945, 0.62523741493865, 1.30724345285799, 1.22140134317452,      1.65277848527316, 1.61082819122054, 1.20591145519053, 1.44660566239193,      1.4917670023494, 1.4917670023494, 1.33984402369384, 1.32178658469093,      1.26781451063295, 1.28385310080255, 1.31516124688894), PROX_GOOD_PRISCH = c(3.56420611596829,      3.56420611596829, 3.3146343023011, 3.76914808697313, 3.76914808697313,      3.58938982364218, 3.57828936266804, 2.95461231779958, 2.95770979509606,      2.95137840528657, 3.2388029474634, 4.44405903659268, 2.82458087567675,      3.15473759747012, 3.15473759747012, 3.55013641033528, 4.66454637236311,      3.673854441535, 3.10133739012884, 3.06740437701091), PROX_MALL = c(1.05377974643614,      1.05377974643614, 0.672803550263317, 0.861712986146148, 0.861712986146148,      0.770100764029299, 0.812049880186, 0.473263954532778, 0.412160376682232,      0.703422933264244, 0.587950861513872, 1.74752862756084, 0.695129776671669,      0.504156272689578, 0.504156272689578, 0.305514521023982,      1.83033637772351, 0.406890039239853, 0.281310431650798, 0.332903613799786     ), PROX_CHAS = c(0.0812638133573676, 0.0812638133573676,      0.0886717393158711, 0.0967538959757692, 0.0967538959757692,      0.110149755252424, 0.135156069731972, 0.179342279988699,      0.240863562772424, 0.1365287941905, 0.151225190585885, 0.191193294854487,      0.341366062526918, 0.11048408202451, 0.11048408202451, 0.282171570268124,      0.0544168696099871, 0.176857487498571, 0.155371621529032,      0.122328851042638), PROX_SUPERMARKET = c(0.082811926566736,      0.082811926566736, 0.334979160094168, 0.094684564379848,      0.094684564379848, 0.11210687568128, 0.352618767904154, 0.487840963146543,      0.422907964790702, 0.688592108834651, 0.459946280432931,      0.188017328828043, 0.668273194253219, 0.362446168440829,      0.362446168440829, 0.281417393052806, 0.286721618184596,      0.270532795629183, 0.141466460051892, 0.193246634773484),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 2L, 2L,          0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 3L, 3L, 3L, 3L,          1L, 6L, 5L, 2L, 5L, 2L, 1L, 6L, 6L, 4L, 1L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(4L, 4L, 10L, 8L, 8L, 9L, 9L, 6L,          6L, 6L, 8L, 6L, 2L, 7L, 7L, 10L, 5L, 8L, 9L, 10L), WITHIN_1KM_PRISCH = c(4L,          4L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 3L, 3L, 3L,          4L, 1L, 3L, 3L, 3L), DNeighbour = c(0, 2.00640318296913,          439.943189863431, 519.888583851506, 522.921145409774,          529.582414480598, 618.102921660707, 624.670051173353,          650.595832172897, 749.455795607123, 882.453110869247,          930.14960690318, 951.87636120026, 1034.23237339312, 1039.78151621158,          1062.52520213698, 1161.21362937193, 1188.28267915461,          1229.85407543328, 1232.58461577146)), row.names = c("214",      "90", "337", "230", "36", "1000", "25", "238", "757", "496",      "350", "64", "831", "164", "844", "856", "256", "960", "105",      "929"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999994700531064,      0.76143573356582, 0.675840915046132, 0.672422826644144, 0.664875823407825,      0.560295491956641, 0.552282194765161, 0.520410596476402,      0.397268315636069, 0.237591908560545, 0.185354638148213,      0.16290408613398, 0.0875871056967077, 0.0831606101366088,      0.0659996032180881, 0.0126459515957914, 0.00498333884068412,      1.95866911285119e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1251685916 
R squared (OOB):                  0.2207569 

$Forests[[215]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 380000, 415000,      425000, 440000, 430000, 399000, 395000, 410000, 365000, 405000,      410000, 420000, 385000, 355000, 422500, 350000, 425000, 485000,      415000), floor_area_sqm = c(105, 105, 103, 104, 104, 103,      102, 103, 104, 103, 106, 84, 103, 102, 84, 104, 84, 104,      104, 84), storey_order = c(2L, 1L, 2L, 3L, 3L, 2L, 3L, 4L,      2L, 1L, 2L, 4L, 2L, 3L, 3L, 3L, 2L, 4L, 3L, 3L), remaining_lease_mths = c(787,      775, 768, 747, 752, 764, 766, 772, 761, 757, 778, 814, 757,      755, 804, 765, 806, 775, 823, 782), PROX_CBD = c(12.7549887608908,      12.8173662852819, 13.0537205387581, 12.4246534304877, 13.1913836000948,      12.3243460542753, 13.0078000734933, 13.1724132817366, 12.2901811097239,      13.0970803497533, 13.2146489403719, 12.8927390133383, 13.2614515751509,      13.2614515751509, 13.01786092695, 13.4875816574924, 13.3385512116162,      13.5598735525989, 12.533007335037, 12.8776183162857), PROX_ELDERLYCARE = c(0.556485595404089,      0.548539301056628, 0.569472877275307, 0.223353489993969,      0.779182108791446, 0.362207242709056, 0.748101088186933,      0.906244923447749, 0.180150537957213, 0.830352740740998,      0.392334185262972, 0.702153634905252, 0.99636081833896, 0.99636081833896,      0.807586217367385, 0.428841001075194, 1.09997831443452, 0.555470204987842,      0.635175801858358, 0.211786543917104), PROX_HAWKER = c(0.627642822312809,      0.687183343617196, 0.963287544217337, 0.283538945902673,      1.05769292681279, 0.290415492755609, 0.90031621758677, 1.03184370064912,      0.155357947035291, 0.973651338137405, 1.1504484389926, 0.876276656944215,      1.14030290242306, 1.14030290242306, 0.976719939584195, 1.41347495302278,      1.2578245237404, 1.44869421276883, 0.80610763907972, 0.677647820815747     ), PROX_MRT = c(0.561554903993597, 0.607087114668938, 0.551410176707671,      0.694199692700576, 0.577154139562059, 0.559245805822074,      0.513893198964272, 0.712767869041386, 0.729338839878115,      0.602819058882962, 0.530339592860526, 0.279401054335897,      0.667490524156887, 0.667490524156887, 0.343251427728879,      0.229256973107587, 0.602718547061467, 0.172867375742438,      0.317839503016409, 0.301948361527339), PROX_PARK = c(1.16122098497616,      0.953457314885518, 0.974634241933185, 1.19561442246869, 1.12092772213378,      1.218970746516, 0.842333894517479, 0.94305137750942, 1.26762597166046,      0.879464356596765, 0.763919329225246, 0.620470631841848,      0.758867978246924, 0.758867978246924, 0.656436399769765,      1.00267286051928, 0.569772965965399, 1.16233583500127, 0.503650356541676,      0.246982674114576), PROX_GOOD_PRISCH = c(1.29435567579286,      1.5016146113424, 1.48818847749708, 1.09898709469432, 1.6842887316892,      0.889618707353532, 1.72660166123773, 1.76071721252525, 0.992456269301591,      1.76550469910092, 1.57814209766337, 1.774803188623, 1.91909050044553,      1.91909050044553, 1.85318585541752, 1.87202126825599, 2.07907555576542,      1.97663004084467, 1.74800143577954, 1.22334421357001), PROX_MALL = c(0.542723135774117,      0.635314033644823, 0.593340478429386, 0.626909601034773,      0.813382909306435, 0.471904090765479, 0.5620231960968, 0.808064657998832,      0.649064194608972, 0.655283448157635, 0.655287065425073,      0.322264379768498, 0.72813233212774, 0.72813233212774, 0.400117032043626,      0.948424723316687, 0.668924040978838, 1.05810160080284, 0.260189306400009,      0.503182159926002), PROX_CHAS = c(0.144180959238343, 0.149554006756045,      0.203693673714882, 0.221655673315632, 0.19044114280624, 0.193597629002809,      1.4078617678234e-08, 0.253073540027742, 0.128297543182753,      0.10733838099953, 0.358071114142678, 0.241407331054591, 0.255705601713763,      0.255705601713763, 0.191102980152323, 0.231037598077535,      0.191227179226131, 0.180657994610612, 0.227429082883153,      0.128785172156574), PROX_SUPERMARKET = c(0.150188458093997,      0.14719471752053, 0.349948262987797, 0.209750471448386, 0.190441743522314,      0.331501685351864, 0.0851968725918189, 0.263318229535236,      0.159863951308791, 0.176189281490626, 0.384538867225359,      0.234452518543083, 0.336474046543398, 0.336474046543398,      0.230446816430876, 0.231037826802092, 0.444314653432489,      0.180658044884504, 0.260187243864149, 0.17067511852319),          WITHIN_350M_KINDERGARTEN = c(2L, 3L, 2L, 2L, 3L, 2L,          2L, 1L, 4L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 1L, 2L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 2L, 5L, 4L, 4L,          2L, 3L, 5L, 1L, 3L, 4L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 1L         ), WITHIN_350M_BUS = c(7L, 5L, 8L, 4L, 8L, 4L, 6L, 6L,          3L, 4L, 9L, 4L, 6L, 6L, 5L, 10L, 5L, 11L, 7L, 12L), WITHIN_1KM_PRISCH = c(5L,          5L, 6L, 5L, 5L, 6L, 4L, 4L, 5L, 4L, 6L, 4L, 4L, 4L, 4L,          5L, 5L, 6L, 3L, 4L), DNeighbour = c(0, 286.145490541278,          343.233953592882, 353.417775367196, 430.202508047113,          441.985449595453, 466.818181230708, 467.728437231615,          475.296473113728, 476.712975979949, 620.843591004816,          624.872240665483, 626.387059149292, 626.393762185431,          641.927995338489, 784.012018743729, 799.802740848411,          816.29158575152, 893.316097558523, 914.800421698263)), row.names = c("215",      "523", "541", "186", "229", "861", "103", "225", "518", "597",      "511", "493", "753", "473", "789", "663", "618", "564", "758",      "259"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.813890773020001,      0.738266354325876, 0.72376987551309, 0.606602388765825, 0.587624157084469,      0.54700653490168, 0.545503948305287, 0.532979229083273, 0.530628992511701,      0.290966365909667, 0.284532732510105, 0.282121559863577,      0.282110900335537, 0.257655600678357, 0.0704894162759407,      0.0555136752452762, 0.0415226681238235, 0.00215471976590805,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       849330249 
R squared (OOB):                  0.1138058 

$Forests[[216]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(620000, 552000, 408000,      530000, 750000, 755000, 472000, 685000, 580000, 825000, 820000,      840000, 688000, 805000, 660000, 438888, 810000, 745000, 795888,      4e+05), floor_area_sqm = c(102, 100, 84, 111, 90, 90, 84,      85, 100, 87, 87, 87, 85, 104, 90, 80, 90, 90, 95, 92), storey_order = c(3L,      1L, 6L, 1L, 11L, 5L, 2L, 4L, 4L, 5L, 9L, 14L, 4L, 3L, 10L,      4L, 10L, 7L, 7L, 1L), remaining_lease_mths = c(908, 910,      647, 767, 1035, 1038, 799, 1038, 1013, 1136, 1136, 1141,      964, 919, 993, 601, 1045, 1057, 1140, 555), PROX_CBD = c(4.95292174150019,      4.64904487497998, 5.38657645344473, 4.3501519248406, 4.88070069409732,      4.88070069409732, 4.27761841825855, 4.89531124268982, 4.79843685927635,      4.59114385332588, 4.59114385332588, 4.70219035054856, 3.98134497452694,      4.1456930527125, 5.00856672458725, 3.37234644442932, 5.99670752478149,      6.0390103189171, 6.26284978479934, 5.99479776583207), PROX_ELDERLYCARE = c(0.0718437191527097,      0.374326446996408, 0.465891927060243, 0.203630745919553,      0.312658206579851, 0.312658206579851, 0.0937624362906392,      0.307888742732217, 0.72206466606869, 0.125633226962327, 0.125633226962327,      0.200702517977741, 0.168717999980802, 0.45180890917037, 0.403456137693205,      0.401810150563083, 0.788986586736525, 0.798119493593788,      0.69800247969724, 0.420516157550055), PROX_HAWKER = c(0.126776661941161,      0.28049665267082, 0.351855498276287, 0.509657348502929, 0.595417483526792,      0.595417483526792, 0.566432501893156, 0.546104933523636,      0.669525197575465, 0.762382071136897, 0.762382071136897,      0.646528219825606, 0.262344394473714, 0.668394095052703,      0.327438715714418, 0.449139985411189, 0.199496524550099,      0.151348144296069, 0.130331819855385, 0.295460487376037),          PROX_MRT = c(0.804865461788644, 0.763812758173444, 0.675587286197546,          0.533693046359433, 0.314337158810329, 0.314337158810329,          0.40356540460373, 0.275254866694397, 1.13446368103879,          0.586728793826683, 0.586728793826683, 0.491479629856663,          0.310254962870727, 0.413017272318271, 0.699181106494864,          0.537190991659238, 0.226103982865864, 0.225262429159589,          0.132116935816272, 0.305306521480229), PROX_PARK = c(0.908868407872405,          1.08394438059851, 1.05249384295472, 0.941534540217125,          1.53366372097489, 1.53366372097489, 1.11098670131371,          1.60860995669454, 0.279857584881724, 1.65596921250538,          1.65596921250538, 1.77379186206272, 0.894232249415992,          1.16828897329218, 0.344858191728297, 0.408351250353425,          0.97332058707081, 0.921128796109604, 0.742212481577902,          0.990750186553446), PROX_GOOD_PRISCH = c(3.66355651606602,          3.57098970158234, 3.52335384407219, 3.77462248476967,          3.0451226436528, 3.0451226436528, 3.63213704613537, 2.96671225712824,          4.40925832010736, 2.86977258716747, 2.86977258716747,          2.79995758206102, 3.868083844602, 3.20846684942761, 4.86324650242379,          3.70512913004722, 2.41026804261554, 2.45094763896652,          2.39901634170637, 2.01228232098645), PROX_MALL = c(0.209686974260184,          0.528365937160055, 0.184401966361696, 0.812522711759855,          0.63262312230698, 0.63262312230698, 0.890632544268956,          0.696065710972082, 0.830412122132217, 0.992224857230604,          0.992224857230604, 0.970860317849455, 1.18273225000282,          1.18405339004253, 1.20968740927381, 0.743612757274357,          1.14826594162738, 1.15586968043917, 0.965908348364742,          0.848644658978131), PROX_CHAS = c(0.176171654931402,          0.251376462502101, 0.131272369045618, 0.237239443458304,          0.278004299073392, 0.278004299073392, 0.116543108560641,          0.22404402777184, 0.120011087306801, 0.156405874770629,          0.156405874770629, 0.0639130956899198, 0.145112311632742,          0.401816380076581, 0.358299181925541, 0.499618186459994,          0.157172829578474, 0.103484302768675, 0.0879111496245458,          0.262677718190406), PROX_SUPERMARKET = c(0.176171398022836,          0.311533400888457, 0.182486832055582, 0.125937465506006,          0.278004958714438, 0.278004958714438, 0.205058734443685,          0.224044642536509, 0.0907294343182455, 0.156405662038775,          0.156405662038775, 0.0639125072278545, 0.252387257990654,          0.431453687618191, 0.395196557309087, 0.499617451823641,          0.212384620357781, 0.198926203527595, 0.0879117778441782,          0.3581952061826), WITHIN_350M_KINDERGARTEN = c(2L, 0L,          1L, 0L, 5L, 5L, 0L, 5L, 0L, 0L, 0L, 2L, 1L, 1L, 1L, 0L,          3L, 3L, 2L, 1L), WITHIN_350M_CHILDCARE = c(1L, 2L, 1L,          5L, 5L, 5L, 5L, 4L, 2L, 3L, 3L, 4L, 3L, 1L, 1L, 2L, 3L,          3L, 3L, 1L), WITHIN_350M_BUS = c(7L, 12L, 8L, 13L, 8L,          8L, 14L, 9L, 6L, 7L, 7L, 7L, 12L, 7L, 7L, 8L, 10L, 9L,          5L, 8L), WITHIN_1KM_PRISCH = c(2L, 2L, 1L, 1L, 1L, 1L,          1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L, 1L, 1L         ), DNeighbour = c(0, 330.148593555431, 463.397890594118,          615.194238942623, 633.012869678692, 635.236209322539,          684.743010807024, 705.899953244729, 773.437624001087,          932.372729622928, 932.815866547772, 940.819930650755,          978.65743054235, 1014.72578281609, 1195.59358830734,          1621.68071280695, 1684.68328836582, 1690.90126170691,          1927.43483904932, 1981.92664240268)), row.names = c("216",      "140", "130", "348", "39", "982", "709", "916", "610", "333",      "768", "854", "375", "320", "515", "69", "379", "832", "562",      "413"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.945272452470627,      0.893652645498434, 0.816584265122769, 0.806383011090953,      0.805094280095477, 0.775516520849173, 0.762380372555937,      0.718609835755709, 0.606355786418918, 0.606028128539436,      0.600098455971673, 0.57179382840143, 0.544447227548482, 0.404612605961418,      0.109225185530964, 0.0769845231222669, 0.0740478728997406,      0.0029411943120922, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11543467350 
R squared (OOB):                  0.4837649 

$Forests[[217]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 418000, 395000,      430000, 425000, 382000, 418000, 459000, 442500, 418888, 445000,      462000, 443000, 447888, 318000, 450000, 345000, 390000, 415000,      358000), floor_area_sqm = c(93, 92, 93, 92, 93, 93, 92, 93,      92, 92, 93, 93, 93, 93, 90, 92, 90, 92, 92, 104), storey_order = c(5L,      3L, 2L, 5L, 4L, 1L, 5L, 4L, 6L, 3L, 4L, 5L, 5L, 5L, 3L, 4L,      5L, 1L, 2L, 4L), remaining_lease_mths = c(1134, 1134, 1138,      1137, 1134, 1111, 1142, 1138, 1138, 1136, 1133, 1134, 1134,      1137, 968, 1135, 937, 1132, 1132, 815), PROX_CBD = c(14.3486805845321,      14.318757359464, 14.318757359464, 14.2919055230493, 14.318757359464,      14.29200158436, 14.4012043650842, 14.1715462602585, 14.4158973706441,      14.4158973706441, 14.1149653809405, 14.1475961545785, 14.1475961545785,      14.1475961545785, 14.1338242827509, 14.5310939664424, 14.2787185061121,      14.6424103631698, 14.6122009832922, 14.0960645211931), PROX_ELDERLYCARE = c(2.08279710659019,      2.13920478430288, 2.13920478430288, 2.08663557441472, 2.13920478430288,      2.00367987562091, 1.94149260139439, 2.09595649451453, 1.86115765343828,      1.86115765343828, 2.12564955085825, 2.03155968851809, 2.03155968851809,      2.03155968851809, 2.28550514148655, 1.79186944623163, 1.77826193055387,      1.72557175775889, 1.68824062303628, 1.70531999087377), PROX_HAWKER = c(1.11865892678262,      1.17625726432186, 1.17625726432186, 1.13160866269818, 1.17625726432186,      1.05572120633707, 0.977925494011815, 1.11030496241672, 0.900970586039013,      0.900970586039013, 1.06810792734919, 1.0452124348096, 1.0452124348096,      1.0452124348096, 1.19906286300234, 0.816792492128141, 0.865181709866835,      0.740384095011384, 0.707122679385598, 0.845358517598031),          PROX_MRT = c(0.228370105834555, 0.277525006355607, 0.277525006355607,          0.215635082050947, 0.277525006355607, 0.129588785375857,          0.117672709296806, 0.236487582928319, 0.0830542408041225,          0.0830542408041225, 0.282489779359316, 0.206896355650083,          0.206896355650083, 0.206896355650083, 0.414064606154384,          0.197201307651512, 0.14195902454703, 0.312698200175978,          0.295449456212788, 0.217341234217998), PROX_PARK = c(1.76668334590621,          1.77227256709076, 1.77227256709076, 1.71136953372848,          1.77227256709076, 1.659682039687, 1.73691437359179, 1.59201213147604,          1.70853765465547, 1.70853765465547, 1.55223981690243,          1.52292224478236, 1.52292224478236, 1.52292224478236,          1.68789157401301, 1.79335149216305, 1.51686048726609,          1.78460824921244, 1.76906915549279, 1.27300714898888),          PROX_GOOD_PRISCH = c(5.67955556528646, 5.68167095374807,          5.68167095374807, 5.62322031775431, 5.68167095374807,          5.57470277830303, 5.65284274036128, 5.50129862889456,          5.62289607338158, 5.62289607338158, 5.45814117537329,          5.43570837857945, 5.43570837857945, 5.43570837857945,          5.57754198399205, 5.7030752613132, 5.42826997650874,          5.77937603269072, 5.7298925008129, 5.17863906457975),          PROX_MALL = c(0.571430807201143, 0.582562895872492, 0.582562895872492,          0.517951444315281, 0.582562895872492, 0.462705775504015,          0.544441659044551, 0.405991175981987, 0.475045953779526,          0.475045953779526, 0.377565489031552, 0.329425359540921,          0.329425359540921, 0.329425359540921, 0.547412994688805,          0.466036051693473, 0.338911837083335, 0.482269498416602,          0.426875162675013, 0.243284841315127), PROX_CHAS = c(0.0590253437170886,          0.0707174365033835, 0.0707174365033835, 3.54155757628082e-08,          0.0707174365033835, 0.0888572682655253, 0.0706873614354785,          0.12657377242065, 0.0420419616737589, 0.0420419616737589,          0.179884741524278, 0.188783823394846, 0.188783823394846,          0.188783823394846, 0.219091723429967, 0.162368565956873,          0.18872293939054, 0.280031834846542, 0.270793953405505,          0.132339190026647), PROX_SUPERMARKET = c(0.199153546859355,          0.25307995359875, 0.25307995359875, 0.199383936085002,          0.25307995359875, 0.124391003677116, 0.0706874850207218,          0.248308073473709, 0.0420421510628514, 0.0420421510628514,          0.299769914037237, 0.235757849482592, 0.235757849482592,          0.235757849482592, 0.41091265647621, 0.162368758687164,          0.188722783027928, 0.280032026158491, 0.270794118098451,          0.226949559622758), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L,          0L, 2L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 5L, 4L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 3L, 4L,          6L, 3L, 5L, 7L), WITHIN_350M_BUS = c(4L, 3L, 3L, 4L,          3L, 5L, 6L, 5L, 7L, 7L, 5L, 6L, 6L, 6L, 3L, 8L, 8L, 6L,          6L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 4L,          3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 4L, 3L, 4L, 5L         ), DNeighbour = c(0, 54.4096552312179, 58.8204143491663,          61.4184145961433, 62.5880936936675, 121.081704585999,          140.437505340069, 185.194710381147, 217.639816824253,          217.645339303822, 240.683883304848, 244.653608060244,          247.737350750906, 247.937364380108, 259.569925468155,          307.187100233058, 370.648732090416, 412.308413148833,          426.855902314969, 589.71564883201)), row.names = c("217",      "58", "840", "267", "205", "989", "633", "277", "33", "100",      "519", "207", "966", "623", "120", "609", "329", "323", "489",      "880"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.983047092703701,      0.98020137165101, 0.978423545821489, 0.977598595540985, 0.917462831458041,      0.889790786522051, 0.812483099007584, 0.746142697133575,      0.746130755551319, 0.694597938302289, 0.685394082576515,      0.67818373266084, 0.677714271624764, 0.650052206256226, 0.530939183112601,      0.365978076198937, 0.261293345185745, 0.226638038414322,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1093447557 
R squared (OOB):                  0.2839463 

$Forests[[218]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(518000, 483000, 535000,      495000, 537000, 5e+05, 425000, 553000, 520000, 455000, 412000,      455000, 393000, 360000, 362500, 420000, 468000, 448000, 450000,      395000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 104,      93, 93, 112, 104, 113, 103, 84, 103, 106, 106, 116, 106,      106), storey_order = c(2L, 2L, 3L, 2L, 4L, 3L, 3L, 4L, 3L,      1L, 2L, 5L, 2L, 3L, 3L, 3L, 5L, 3L, 4L, 2L), remaining_lease_mths = c(1132,      1129, 1131, 1131, 1128, 1131, 871, 1134, 1133, 896, 878,      824, 818, 811, 819, 874, 863, 827, 834, 834), PROX_CBD = c(14.0392008059995,      13.9851487819813, 13.9851487819813, 14.1234549986629, 14.1022978560303,      13.8777465201196, 14.0236082538335, 13.8021184722805, 13.7835124985007,      14.0913802169285, 14.1313829663274, 14.8805910833212, 14.8805910833212,      14.7472020389823, 14.3801998083441, 13.629257933267, 13.629257933267,      15.1039483662242, 15.1256206124729, 15.1256206124729), PROX_ELDERLYCARE = c(1.32747908409073,      1.27246652758392, 1.27246652758392, 1.35242241046818, 1.39999761805574,      1.14875617578224, 1.09340394122649, 1.08391670289184, 1.04590518035641,      1.71411655426264, 0.836104821253693, 1.53481387371296, 1.53481387371296,      1.19052284520552, 0.709377020411434, 0.207468408301612, 0.207468408301612,      1.55233595008815, 1.5866097118695, 1.5866097118695), PROX_HAWKER = c(0.543253862226502,      0.59565400543288, 0.59565400543288, 0.458626901673037, 0.488105393549706,      0.709523473368326, 0.594999289424802, 0.792084042786722,      0.817574416707151, 0.659732742059419, 0.73352935155883, 0.395563323563994,      0.395563323563994, 0.606039227085063, 0.928921275219278,      1.4012681206183, 1.4012681206183, 0.672854909342646, 0.674198133913936,      0.674198133913936), PROX_MRT = c(0.327704984287647, 0.390641440388092,      0.390641440388092, 0.250036690549804, 0.255700458734308,      0.526263367583387, 0.469886084443941, 0.615458599020507,      0.648112836468654, 0.410797330392975, 0.735653331318593,      0.650195396152393, 0.650195396152393, 0.807097621625513,      1.02650412956774, 0.681065013996815, 0.681065013996815, 0.927742831261867,      0.930587839854138, 0.930587839854138), PROX_PARK = c(0.547177414231792,      0.580591669210194, 0.580591669210194, 0.469588575534173,      0.52092144022497, 0.548712671125698, 0.504422356794811, 0.476945111703218,      0.438074957540257, 0.524242894978874, 0.463826523913091,      0.355836862982211, 0.355836862982211, 0.432698189125414,      0.71485218383349, 0.403276931712581, 0.403276931712581, 0.613453702116727,      0.625625874274951, 0.625625874274951), PROX_GOOD_PRISCH = c(2.61966269686357,      2.55482099432271, 2.55482099432271, 2.69456588548322, 2.69832814229385,      2.41902859908312, 2.51794344218072, 2.33081910479479, 2.3007469286795,      2.83541955823977, 2.52734391167264, 3.33079371618761, 3.33079371618761,      3.13467644284063, 2.72778429145315, 1.96779323327463, 1.96779323327463,      3.51513652285447, 3.54140201350838, 3.54140201350838), PROX_MALL = c(0.316340524018432,      0.37312896686832, 0.37312896686832, 0.232476208076891, 0.257523814996123,      0.498678106329343, 0.418819234777705, 0.585717052475653,      0.615576551193732, 0.471401908473598, 0.66282583229379, 0.390496575840073,      0.390496575840073, 0.738705771798207, 0.949257633150117,      1.12429495075828, 1.12429495075828, 0.472438990852491, 0.445444903624544,      0.445444903624544), PROX_CHAS = c(0.101753514952091, 0.0604900109870272,      0.0604900109870272, 0.147334233235439, 0.177701329016163,      0.133705064347241, 0.151261605672147, 0.221659659627321,      0.253975316505048, 0.471401941314913, 0.528800676490504,      0.448788349522024, 0.448788349522024, 0.19051372613691, 0.453083161817035,      0.260044927245007, 0.260044927245007, 0.353464796953762,      0.387886097439527, 0.387886097439527), PROX_SUPERMARKET = c(0.101754383553332,      0.0604908810371704, 0.0604908810371704, 0.147334782275979,      0.177702101069216, 0.133704798830233, 0.151260689076964,      0.221659301316653, 0.253974877653299, 0.471402360745676,      0.528799775767506, 0.447693008221967, 0.447693008221967,      0.326764101800336, 0.513065398645433, 0.288903462518554,      0.288903462518554, 0.429218479578941, 0.411626017932148,      0.411626017932148), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 1L, 1L, 0L, 0L, 0L, 0L, 2L, 0L, 2L, 2L, 3L, 0L, 3L, 3L,      2L, 2L, 2L), WITHIN_350M_CHILDCARE = c(4L, 3L, 3L, 4L, 4L,      2L, 4L, 2L, 2L, 1L, 3L, 3L, 3L, 2L, 3L, 6L, 6L, 2L, 2L, 2L     ), WITHIN_350M_BUS = c(10L, 8L, 8L, 13L, 11L, 8L, 12L, 5L,      6L, 12L, 6L, 5L, 5L, 9L, 2L, 6L, 6L, 7L, 6L, 6L), WITHIN_1KM_PRISCH = c(1L,      1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L,      2L, 3L, 3L, 3L), DNeighbour = c(0, 63.5697127293571, 69.5644041300091,      77.5515799446705, 80.396051116074, 207.718446920763, 244.899768989244,      301.62169135522, 335.409219797631, 399.639382551088, 611.769839492288,      883.37075985482, 890.977650916373, 928.978607181402, 983.506288606624,      1121.61979954995, 1124.62709617854, 1152.23302956034, 1163.19584868678,      1169.92244089265)), row.names = c("218", "938", "819", "212",      "815", "579", "51", "275", "380", "352", "695", "852", "639",      "136", "3", "503", "415", "188", "457", "483"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.994103765402684, 0.992941351238864, 0.991231164105308,      0.990577662917366, 0.937946511705138, 0.91428207664433, 0.871482455732314,      0.842369335730692, 0.780241883834946, 0.527889491958238,      0.184790471366425, 0.176409553081279, 0.136517169543347,      0.0860200714722273, 0.00653987139737949, 0.00576598792561212,      0.000900701863094642, 0.000131472653965596, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1707402021 
R squared (OOB):                  0.4948219 

$Forests[[219]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 408000, 385000,      450000, 4e+05, 365000, 420000, 468000, 415000, 422500, 425000,      362500, 405000, 367000, 412000, 390000, 440000, 415000, 415000,      395000), floor_area_sqm = c(104, 105, 84, 106, 107, 84, 106,      106, 108, 104, 104, 103, 106, 104, 104, 109, 104, 103, 108,      103), storey_order = c(2L, 1L, 2L, 2L, 1L, 4L, 3L, 5L, 2L,      3L, 4L, 3L, 2L, 1L, 2L, 1L, 3L, 2L, 3L, 4L), remaining_lease_mths = c(801,      797, 815, 919, 912, 787, 874, 863, 891, 765, 775, 819, 778,      879, 878, 889, 752, 768, 904, 772), PROX_CBD = c(13.9224032790502,      13.8987191813532, 13.8115996810708, 13.6245617307962, 13.6047453762483,      13.5012180894848, 13.629257933267, 13.629257933267, 13.8459786715751,      13.4875816574924, 13.5598735525989, 14.3801998083441, 13.2146489403719,      14.66420827852, 14.1313829663274, 14.7712425946156, 13.1913836000948,      13.0537205387581, 13.7944980809676, 13.1724132817366), PROX_ELDERLYCARE = c(0.160860892679658,      0.166628987045545, 0.244605555667631, 0.120631950903102,      0.271914041498034, 0.126566715598502, 0.207468408301612,      0.207468408301612, 0.429452782693922, 0.428841001075194,      0.555470204987842, 0.709377020411434, 0.392334185262972,      0.719957479461771, 0.836104821253693, 0.729534612359916,      0.779182108791446, 0.569472877275307, 0.91518434198946, 0.906244923447749     ), PROX_HAWKER = c(1.57003684649171, 1.60647998640073, 1.71143518366979,      1.48009929412898, 1.50728197565297, 1.32455892398921, 1.4012681206183,      1.4012681206183, 1.71981564227335, 1.41347495302278, 1.44869421276883,      0.928921275219278, 1.1504484389926, 1.17971772396452, 0.73352935155883,      1.70286767909083, 1.05769292681279, 0.963287544217337, 1.66782294138278,      1.03184370064912), PROX_MRT = c(0.375491068655226, 0.337555536848429,      0.198072339225813, 0.357520644011877, 0.222008379422339,      0.54422435083218, 0.681065013996815, 0.681065013996815, 0.2084775132707,      0.229256973107587, 0.172867375742438, 1.02650412956774, 0.530339592860526,      1.12495588646837, 0.735653331318593, 1.0665313702167, 0.577154139562059,      0.551410176707671, 0.658832763416297, 0.712767869041386),          PROX_PARK = c(0.819174175884815, 0.83983547285748, 0.925135888784,          0.731000545087102, 0.882483872449952, 0.593866981909781,          0.403276931712581, 0.403276931712581, 1.1446906726086,          1.00267286051928, 1.16233583500127, 0.71485218383349,          0.763919329225246, 0.823954351824118, 0.463826523913091,          0.405128535389849, 1.12092772213378, 0.974634241933185,          0.645156432286565, 0.94305137750942), PROX_GOOD_PRISCH = c(2.26578798898653,          2.24487256678893, 2.17137072991142, 1.96554365084008,          1.96272742295518, 1.8351788996921, 1.96779323327463,          1.96779323327463, 2.27101821651052, 1.87202126825599,          1.97663004084467, 2.72778429145315, 1.57814209766337,          2.99834463762659, 2.52734391167264, 3.13265552080448,          1.6842887316892, 1.48818847749708, 2.39271928635374,          1.76071721252525), PROX_MALL = c(1.34118728457461, 1.33259876169033,          1.25122768833936, 1.05956757611768, 1.0427530371351,          0.956400108312903, 1.12429495075828, 1.12429495075828,          1.35153556565047, 0.948424723316687, 1.05810160080284,          0.949257633150117, 0.655287065425073, 0.669111824361406,          0.66282583229379, 0.541352629222412, 0.813382909306435,          0.593340478429386, 1.14990641994387, 0.808064657998832         ), PROX_CHAS = c(0.0806372798138111, 0.0582471476749484,          0.130123043615932, 2.17172157220984e-06, 0.15212794302602,          0.0648495538885981, 0.260044927245007, 0.260044927245007,          0.345234103044859, 0.231037598077535, 0.180657994610612,          0.453083161817035, 0.358071114142678, 0.38494516455544,          0.528800676490504, 0.220588325506638, 0.19044114280624,          0.203693673714882, 0.17469359838053, 0.253073540027742         ), PROX_SUPERMARKET = c(0.189550835904173, 0.2065347950197,          0.30366394922488, 0.237807435452358, 0.353624023725788,          0.329742543966106, 0.288903462518554, 0.288903462518554,          0.426625283183798, 0.231037826802092, 0.180658044884504,          0.513065398645433, 0.384538867225359, 0.384052647553184,          0.528799775767506, 0.49532093691776, 0.190441743522314,          0.349948262987797, 0.357404112790227, 0.263318229535236         ), WITHIN_350M_KINDERGARTEN = c(3L, 2L, 0L, 3L, 0L, 1L,          3L, 3L, 1L, 2L, 2L, 0L, 2L, 1L, 0L, 0L, 3L, 2L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 5L, 6L, 5L,          6L, 6L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L, 3L, 3L         ), WITHIN_350M_BUS = c(9L, 9L, 10L, 10L, 12L, 7L, 6L,          6L, 12L, 10L, 11L, 2L, 9L, 7L, 6L, 8L, 8L, 8L, 7L, 6L         ), WITHIN_1KM_PRISCH = c(3L, 4L, 5L, 4L, 5L, 4L, 2L,          2L, 5L, 5L, 6L, 3L, 6L, 3L, 2L, 1L, 5L, 6L, 4L, 4L),          DNeighbour = c(0, 35.774575062992, 174.893937995748,          301.059031689585, 345.248019417861, 467.55097101295,          479.625156658899, 479.9000617295, 479.967477509695, 506.595605005659,          537.120932096644, 701.937369605872, 721.557464445106,          793.705657546584, 866.384102955358, 871.910632346183,          924.261653993728, 945.406626368112, 973.097813705572,          1079.64732755255)), row.names = c("219", "531", "235",      "656", "955", "264", "503", "415", "970", "663", "564", "3",      "511", "686", "695", "527", "229", "541", "542", "225"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.997805292481346, 0.948205965954066, 0.850532152261336,      0.805940162024934, 0.660091120588246, 0.644244871125843,      0.643881651279467, 0.643792561673403, 0.608134145065936,      0.566251855486938, 0.333274557498624, 0.306184065438685,      0.21118665703467, 0.126766350468389, 0.120965545547061, 0.0713592499570382,      0.054389362061906, 0.0352083241815964, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       536556352 
R squared (OOB):                  0.2793956 

$Forests[[220]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 345000, 371000,      390000, 4e+05, 390000, 430000, 395888, 368000, 4e+05, 375000,      4e+05, 425000, 370000, 342000, 450000, 3e+05, 465000, 332000,      455000), floor_area_sqm = c(91, 92, 91, 90, 91, 91, 91, 94,      100, 90, 100, 100, 93, 92, 105, 93, 94, 106, 104, 106), storey_order = c(5L,      2L, 2L, 2L, 2L, 2L, 4L, 3L, 2L, 3L, 5L, 5L, 3L, 3L, 4L, 4L,      2L, 2L, 3L, 4L), remaining_lease_mths = c(965, 974, 957,      947, 956, 956, 962, 1063, 937, 953, 935, 923, 1029, 922,      822, 950, 817, 933, 838, 933), PROX_CBD = c(17.6174166659189,      17.6174166659189, 17.630719557776, 17.5579663674298, 17.5146993337396,      17.980006840849, 17.4594236905894, 18.1899007658477, 18.1853912561079,      17.5759295796121, 18.2155576397088, 18.2155576397088, 18.2498667293237,      18.2744201988815, 18.4174433264455, 17.4336546583772, 18.4835571341017,      17.1401277939721, 18.3394484051955, 17.1634204962367), PROX_ELDERLYCARE = c(1.58663462608392,      1.58663462608392, 1.35614304544574, 1.26304449634962, 1.21552371031002,      1.69038013517483, 1.1429422216578, 2.0412967820292, 1.83831888483507,      1.07156662032258, 1.82774218733134, 1.82774218733134, 2.08641833813892,      1.91030467455468, 2.01990466694452, 0.825709875044437, 2.12772209584432,      0.586863575497558, 1.68689945441126, 0.565792923614884),          PROX_HAWKER = c(0.699652587196505, 0.699652587196505,          0.550798352023498, 0.610726758846462, 0.65109908849923,          0.32947027962251, 0.704564458032275, 0.56403310040428,          0.267411626133086, 0.622851592932912, 0.218122417644225,          0.218122417644225, 0.574007707230075, 0.292675997882175,          0.365194571711665, 0.841716009165303, 0.47819209562201,          0.685044657792881, 0.322806547864559, 0.666841975849823         ), PROX_MRT = c(0.430901962912929, 0.430901962912929,          0.481509556817778, 0.415424130147435, 0.367017506823782,          0.131298797620671, 0.304209523777939, 0.225540054498686,          0.186589372260449, 0.449846795062068, 0.24629140143503,          0.24629140143503, 0.270260950193414, 0.25859759791353,          0.394110762668951, 0.463093751675267, 0.440067919828323,          0.418422993771755, 0.722989849955079, 0.463116738810145         ), PROX_PARK = c(0.815337468455046, 0.815337468455046,          0.706852169587072, 0.622915525490857, 0.57589083993138,          0.597192139646456, 0.515475588097358, 0.321396863181507,          0.431621232177097, 0.650211227804106, 0.449638685926872,          0.449638685926872, 0.261745107633199, 0.366705585759005,          0.305293053539538, 0.609424449579261, 0.199823808978303,          0.454841043819919, 0.845903786092674, 0.505224516024672         ), PROX_GOOD_PRISCH = c(6.95710824587607, 6.95710824587607,          6.96345421686322, 6.89020500321914, 6.84682201594428,          7.31481473864251, 6.79149624878531, 7.5338271442293,          7.51998659904145, 6.90999703096039, 7.54917724573578,          7.54917724573578, 7.5938744989762, 7.60907430161507,          7.75189187586876, 6.77374769998522, 7.82005706650481,          6.48254224033906, 7.67457853159282, 6.50789265243056),          PROX_MALL = c(0.753687860987251, 0.753687860987251, 0.581015113036356,          0.488271313828636, 0.437698049352173, 0.38257003715367,          0.366883459562171, 0.601163950940652, 0.304347432784639,          0.456006423255308, 0.249434383428027, 0.249434383428027,          0.606938778613173, 0.31638525459609, 0.368677515727611,          0.404491618549369, 0.482762920255867, 0.306862579253759,          0.270650184250749, 0.353588302636786), PROX_CHAS = c(0.430898255483663,          0.430898255483663, 0.481496129777697, 0.40162373925963,          0.354009255575758, 0.131281394661179, 0.293637386768921,          0.225556636612455, 0.186582621643492, 0.401255348981324,          0.246283235408848, 0.246283235408848, 0.270276303087269,          0.258594927218762, 0.279695275413424, 0.260153188296123,          0.297885151722028, 0.133156315003352, 0.186439783883369,          0.171584438209325), PROX_SUPERMARKET = c(0.467885028141574,          0.467885028141574, 0.432325009404537, 0.339170507836652,          0.288534867112482, 0.37748716441855, 0.217741105325511,          0.37174850741073, 0.289364184128333, 0.338457664260807,          0.233030240431279, 0.233030240431279, 0.384544806397502,          0.297968471640837, 0.3481604922123, 0.355873580059747,          0.402675729717655, 0.27639551573194, 0.279112228601587,          0.320581809168482), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 4L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          6L, 6L, 6L, 5L, 6L, 5L, 7L, 5L, 7L, 7L, 6L, 7L, 7L, 4L,          9L, 3L, 4L, 4L), WITHIN_350M_BUS = c(6L, 6L, 8L, 9L,          10L, 14L, 8L, 13L, 16L, 8L, 15L, 15L, 11L, 17L, 14L,          12L, 12L, 7L, 11L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L,          4L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 6L, 6L, 4L, 5L, 5L, 6L,          5L, 4L, 6L, 4L), DNeighbour = c(0, 3.3156615107604, 289.840874740634,          356.753095136037, 396.663934281592, 396.690148264573,          458.510012066452, 580.855493416167, 589.413329050429,          626.592745631674, 633.502041685659, 642.039995430647,          647.125555993796, 678.847491646958, 815.672267656423,          857.218472046031, 871.650004635765, 1000.71311810249,          1005.43937985984, 1032.80317748233)), row.names = c("220",      "14", "547", "545", "93", "910", "937", "422", "31", "357",      "571", "643", "369", "835", "257", "535", "774", "530", "693",      "991"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999979387389224,      0.848690346366415, 0.775603493384749, 0.726745664932934,      0.726712423388171, 0.644665979141759, 0.467443818361315,      0.454693621468944, 0.399329983781778, 0.389080924110929,      0.376448272022955, 0.368943900944182, 0.322595119721936,      0.141579513099775, 0.096791375783635, 0.0827843152397843,      0.00374253692409447, 0.00273397291876601, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1342192511 
R squared (OOB):                  0.259733 

$Forests[[221]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(649888, 533000, 566888,      8e+05, 530000, 413888, 795888, 4e+05, 7e+05, 745000, 810000,      495000, 682000, 745000, 685000, 729999, 840000, 755000, 750000,      478000), floor_area_sqm = c(87, 88, 88, 105, 118, 88, 95,      92, 95, 90, 90, 91, 100, 100, 85, 100, 87, 90, 90, 92), storey_order = c(3L,      1L, 8L, 6L, 2L, 2L, 7L, 1L, 3L, 7L, 10L, 3L, 10L, 10L, 4L,      6L, 14L, 5L, 11L, 4L), remaining_lease_mths = c(1103, 653,      650, 938, 594, 668, 1140, 555, 1100, 1057, 1045, 648, 1120,      1122, 1038, 1122, 1141, 1038, 1035, 716), PROX_CBD = c(7.02256530608061,      6.92829321613491, 6.76124856282603, 6.53309552941355, 6.1023364257416,      7.88501742637481, 6.26284978479934, 5.99479776583207, 7.97001655790022,      6.0390103189171, 5.99670752478149, 5.90960582305016, 9.28682806708392,      9.28682806708392, 4.89531124268982, 9.41601606571959, 4.70219035054856,      4.88070069409732, 4.88070069409732, 9.58813304663833), PROX_ELDERLYCARE = c(0.467453442926814,      0.389684735109723, 0.20742531007413, 0.112238297630375, 0.14668864145384,      0.487583248392117, 0.69800247969724, 0.420516157550055, 0.682273370470252,      0.798119493593788, 0.788986586736525, 1.51538883702403, 0.306248896776786,      0.306248896776786, 0.307888742732217, 0.14515851054369, 0.200702517977741,      0.312658206579851, 0.312658206579851, 0.251441869005946),          PROX_HAWKER = c(0.207247650371579, 0.133504850959355,          0.171967883722699, 0.357983508144609, 0.107292567178633,          0.645875214067525, 0.130331819855385, 0.295460487376037,          0.840126401207934, 0.151348144296069, 0.199496524550099,          0.358173289653819, 0.449541776391294, 0.449541776391294,          0.546104933523636, 0.552624576950901, 0.646528219825606,          0.595417483526792, 0.595417483526792, 0.391674386653945         ), PROX_MRT = c(0.409658939160285, 0.407218977151475,          0.31120761671675, 0.404028215814371, 0.649340944892975,          0.707952731476156, 0.132116935816272, 0.305306521480229,          0.726942522279936, 0.225262429159589, 0.226103982865864,          0.107293182941521, 0.819017740329599, 0.819017740329599,          0.275254866694397, 0.796240617220745, 0.491479629856663,          0.314337158810329, 0.314337158810329, 0.707146681079003         ), PROX_PARK = c(0.380160428577633, 0.377410917604964,          0.273246118986377, 0.407986988455317, 0.711925115709351,          0.511064020035708, 0.742212481577902, 0.990750186553446,          0.618444971248099, 0.921128796109604, 0.97332058707081,          0.242854512033048, 0.754667699158598, 0.754667699158598,          1.60860995669454, 0.579398729399101, 1.77379186206272,          1.53366372097489, 1.53366372097489, 0.630094576064042         ), PROX_GOOD_PRISCH = c(2.07008813823767, 2.0639866413545,          1.9155109693321, 1.86607127862969, 1.64363723354824,          2.82520953766913, 2.39901634170637, 2.01228232098645,          2.78644315018514, 2.45094763896652, 2.41026804261554,          0.280669099407447, 1.50498632547922, 1.50498632547922,          2.96671225712824, 1.45792936689373, 2.79995758206102,          3.0451226436528, 3.0451226436528, 1.10432321767326),          PROX_MALL = c(0.395390786334096, 0.352244010010256, 0.191774654856939,          0.26702131219094, 0.58741271025502, 0.535655644340599,          0.965908348364742, 0.848644658978131, 0.66906173274608,          1.15586968043917, 1.14826594162738, 1.58703862644467,          0.732362808464395, 0.732362808464395, 0.696065710972082,          0.616886214909116, 0.970860317849455, 0.63262312230698,          0.63262312230698, 0.759347764163403), PROX_CHAS = c(0.278446199404133,          0.180332756228222, 0.19177461752976, 0.144966662256637,          0.142011209366223, 0.102679570293108, 0.0879111496245458,          0.262677718190406, 0.195243012850588, 0.103484302768675,          0.157172829578474, 0.370138139733765, 0.30624919123722,          0.30624919123722, 0.22404402777184, 0.145158576319141,          0.0639130956899198, 0.278004299073392, 0.278004299073392,          0.395290416984683), PROX_SUPERMARKET = c(0.0888694671696128,          0.0762755382886037, 0.113049768890948, 0.26343506825427,          0.585686837888717, 0.158953339299884, 0.0879117778441782,          0.3581952061826, 0.169510705521186, 0.198926203527595,          0.212384620357781, 0.644143855185467, 0.309780650655361,          0.309780650655361, 0.224044642536509, 0.145877744762322,          0.0639125072278545, 0.278004958714438, 0.278004958714438,          0.20799335196523), WITHIN_350M_KINDERGARTEN = c(0L, 1L,          1L, 1L, 1L, 1L, 2L, 1L, 1L, 3L, 3L, 1L, 0L, 0L, 5L, 0L,          2L, 5L, 5L, 0L), WITHIN_350M_CHILDCARE = c(3L, 5L, 4L,          5L, 2L, 1L, 3L, 1L, 0L, 3L, 3L, 2L, 1L, 1L, 4L, 1L, 4L,          5L, 5L, 2L), WITHIN_350M_BUS = c(10L, 7L, 8L, 3L, 5L,          5L, 5L, 8L, 7L, 9L, 10L, 5L, 7L, 7L, 9L, 8L, 7L, 8L,          8L, 7L), WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L         ), DNeighbour = c(0, 103.564892750779, 268.716696181189,          497.78973268397, 928.606226214148, 1030.10312307241,          1031.02068433545, 1076.06579390791, 1201.8523303077,          1265.12359571061, 1274.88827094739, 1960.50648143382,          2359.4278708825, 2364.32464341497, 2480.58165133012,          2516.89170383708, 2524.00030269133, 2536.87045955482,          2538.95327402709, 2562.33964144414)), row.names = c("221",      "978", "834", "81", "18", "338", "562", "413", "904", "832",      "379", "226", "794", "308", "916", "928", "854", "982", "39",      "640"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996735423556202,      0.97812484599395, 0.925941534291401, 0.754573989250671, 0.702885445838843,      0.702402538931812, 0.678380059308139, 0.608395141634959,      0.57187340198801, 0.566174200532434, 0.171881473665528, 0.0231371514451791,      0.0220777762822392, 0.00394346518389364, 0.00123616819753525,      0.000882171899818908, 0.000391281235086281, 0.000330171268010779,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7961278734 
R squared (OOB):                  0.5821603 

$Forests[[222]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 4e+05, 390000,      342000, 415000, 375000, 395000, 428000, 412000, 390000, 455000,      537000, 518000, 483000, 535000, 495000, 5e+05, 553000, 520000,      425000), floor_area_sqm = c(105, 104, 105, 105, 106, 104,      104, 112, 104, 104, 112, 93, 93, 93, 93, 93, 93, 93, 93,      104), storey_order = c(3L, 3L, 3L, 1L, 3L, 1L, 2L, 1L, 3L,      2L, 1L, 4L, 2L, 2L, 3L, 2L, 3L, 4L, 3L, 3L), remaining_lease_mths = c(911,      903, 921, 904, 919, 919, 905, 892, 891, 906, 896, 1128, 1132,      1129, 1131, 1131, 1131, 1134, 1133, 871), PROX_CBD = c(13.3796709379934,      13.3287778793447, 13.4627621473458, 13.3769343120963, 13.4239402990732,      13.4266027498608, 13.6654936015449, 13.9733994982273, 14.1568072460962,      14.1961571609712, 14.0913802169285, 14.1022978560303, 14.0392008059995,      13.9851487819813, 13.9851487819813, 14.1234549986629, 13.8777465201196,      13.8021184722805, 13.7835124985007, 14.0236082538335), PROX_ELDERLYCARE = c(2.22474645739358,      2.1917657327852, 2.3602438602499, 2.13793612643937, 2.35754914737924,      2.17127601573547, 2.4559089786438, 2.73602573538322, 2.56669577269824,      2.56528175499621, 1.71411655426264, 1.39999761805574, 1.32747908409073,      1.27246652758392, 1.27246652758392, 1.35242241046818, 1.14875617578224,      1.08391670289184, 1.04590518035641, 1.09340394122649), PROX_HAWKER = c(1.93918128958002,      1.97547555130032, 1.98731518790586, 1.83400406292357, 2.04148614266885,      1.79623369603986, 1.8007485076056, 1.72752929984142, 1.398882753411,      1.37564916931309, 0.659732742059419, 0.488105393549706, 0.543253862226502,      0.59565400543288, 0.59565400543288, 0.458626901673037, 0.709523473368326,      0.792084042786722, 0.817574416707151, 0.594999289424802),          PROX_MRT = c(1.69795623670388, 1.73242783606755, 1.75308710953532,          1.58891799000297, 1.80644454579453, 1.55284801629317,          1.57537750219681, 1.52912572857094, 1.21408476422274,          1.19597144129318, 0.410797330392975, 0.255700458734308,          0.327704984287647, 0.390641440388092, 0.390641440388092,          0.250036690549804, 0.526263367583387, 0.615458599020507,          0.648112836468654, 0.469886084443941), PROX_PARK = c(0.863182736105437,          0.88512129863374, 0.956537089868377, 0.736187117229036,          1.00169815399328, 0.713305409065456, 0.850306194456086,          0.916601452818718, 0.574460502508352, 0.541272645896965,          0.524242894978874, 0.52092144022497, 0.547177414231792,          0.580591669210194, 0.580591669210194, 0.469588575534173,          0.548712671125698, 0.476945111703218, 0.438074957540257,          0.504422356794811), PROX_GOOD_PRISCH = c(2.95323290488506,          2.92650083991791, 3.09165556928148, 2.85157742620146,          3.09662994187342, 2.87807351257242, 3.15584859653876,          3.4114102230046, 3.36750863472211, 3.39040053008466,          2.83541955823977, 2.69832814229385, 2.61966269686357,          2.55482099432271, 2.55482099432271, 2.69456588548322,          2.41902859908312, 2.33081910479479, 2.3007469286795,          2.51794344218072), PROX_MALL = c(0.921202261186462, 0.968339604524727,          0.924666219790251, 0.857746498744393, 0.980263777031476,          0.808973697710999, 0.710058429219954, 0.596418817267466,          0.280844166366742, 0.270320025824244, 0.471401908473598,          0.257523814996123, 0.316340524018432, 0.37312896686832,          0.37312896686832, 0.232476208076891, 0.498678106329343,          0.585717052475653, 0.615576551193732, 0.418819234777705         ), PROX_CHAS = c(0.396028378293497, 0.447143544638255,          0.335494764547789, 0.418304503654494, 0.386919516068906,          0.374720545025774, 0.111974276762728, 0.126775582068521,          0.192284580165596, 0.176758267598596, 0.471401941314913,          0.177701329016163, 0.101753514952091, 0.0604900109870272,          0.0604900109870272, 0.147334233235439, 0.133705064347241,          0.221659659627321, 0.253975316505048, 0.151261605672147         ), PROX_SUPERMARKET = c(0.347107460725314, 0.37251565902947,          0.370560193975877, 0.224617478786604, 0.409344743904916,          0.196965153344936, 0.207177695926551, 0.159712105919183,          0.192285941870899, 0.176759883249677, 0.471402360745676,          0.177702101069216, 0.101754383553332, 0.0604908810371704,          0.0604908810371704, 0.147334782275979, 0.133704798830233,          0.221659301316653, 0.253974877653299, 0.151260689076964         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 1L, 0L, 1L,          1L, 5L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 1L, 1L, 1L,          3L, 2L, 3L, 4L, 1L, 4L, 4L, 3L, 3L, 4L, 2L, 2L, 2L, 4L         ), WITHIN_350M_BUS = c(8L, 6L, 7L, 5L, 7L, 7L, 12L, 10L,          9L, 9L, 12L, 11L, 10L, 8L, 8L, 13L, 8L, 5L, 6L, 12L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,          3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L), DNeighbour = c(0,          56.4106969948933, 131.617939428184, 138.686898002121,          153.914642235655, 154.239856267091, 288.175657075124,          593.047741232753, 807.249462975622, 853.32311322632,          1289.55293783863, 1588.03142682835, 1603.72320814848,          1610.50861615161, 1613.87748817064, 1642.70364769229,          1657.62625145053, 1676.69989127079, 1709.57552938352,          1813.53147217065)), row.names = c("222", "949", "155",      "965", "38", "818", "302", "119", "933", "555", "352", "815",      "218", "938", "819", "212", "579", "275", "380", "51"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998065839176564, 0.989493339247213, 0.988337842705174,      0.985646006175212, 0.985585503941662, 0.950137221539164,      0.797561028314087, 0.642984451500839, 0.606218588541802,      0.244407080463428, 0.0543938616144153, 0.0475225227983713,      0.044675267355889, 0.0432899844707808, 0.0322272605996873,      0.027075072316956, 0.0210853461894409, 0.0124008062687699,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3790023655 
R squared (OOB):                  0.07524548 

$Forests[[223]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(488000, 385000, 465000,      290000, 560000, 620000, 451000, 678000, 418000, 409500, 538000,      660000, 515000, 520000, 545000, 450000, 440000, 446000, 580000,      705000), floor_area_sqm = c(104, 93, 91, 87, 105, 103, 83,      92, 84, 84, 90, 105, 84, 107, 101, 104, 93, 94, 90, 90),          storey_order = c(1L, 1L, 2L, 1L, 2L, 4L, 8L, 3L, 3L,          3L, 5L, 6L, 4L, 2L, 1L, 1L, 3L, 2L, 5L, 7L), remaining_lease_mths = c(776,          772, 764, 643, 913, 742, 604, 1103, 804, 807, 995, 748,          804, 892, 938, 828, 759, 723, 1035, 1041), PROX_CBD = c(4.16405648472164,          4.25035751849909, 4.28329341592686, 4.35364804731157,          3.91005014077452, 3.79744534670369, 3.63056019358172,          3.93031212371417, 4.20973993763024, 4.20973993763024,          4.4759193492502, 3.5952466633456, 3.75781957676323, 4.23142849537126,          3.59494173601466, 5.12061996426338, 5.4791067318598,          4.45295385586978, 3.73787601157873, 3.66612298934168),          PROX_ELDERLYCARE = c(0.434539750657667, 0.411587417191489,          0.4193003334471, 0.402111762367986, 0.449207181019876,          0.296175206272889, 0.124703716495981, 0.159701117649001,          0.156291063754703, 0.156291063754703, 0.136621520737764,          0.354500614782039, 0.582389211118023, 0.272010492111063,          0.692364880740494, 0.279354008399566, 0.505585511375112,          0.645271528549996, 0.836612932336762, 0.851600940224316         ), PROX_HAWKER = c(0.502732414569621, 0.610932712322496,          0.638679046714181, 0.52502919100195, 0.464701711390969,          0.300770398866256, 0.0619655343942362, 0.374782156946409,          0.46881842734995, 0.46881842734995, 0.736355433757935,          0.311385334077859, 0.393163811818296, 0.392124905911543,          0.142789347249218, 0.158729667464322, 0.736115689949186,          0.601904675681234, 0.15676751515481, 0.157376553669701         ), PROX_MRT = c(0.518003091395578, 0.605174310138743,          0.637237645879563, 0.698417082344063, 0.361698258812245,          0.195276091150508, 0.188513622979597, 0.57487373386568,          0.750034220630686, 0.750034220630686, 0.930431293452388,          0.16267041353008, 0.434583879195091, 0.870814763860364,          0.346622733589529, 1.12797954219589, 0.797555156120123,          0.66128766903618, 0.349678715281184, 0.281331556481731         ), PROX_PARK = c(0.269719137898212, 0.346786980248178,          0.336599362476296, 0.0959047492621704, 0.651892034671684,          0.620239922284967, 0.634729277660292, 0.43227753152338,          0.828179073128827, 0.828179073128827, 0.786607284590569,          0.796125682214674, 0.885911587583127, 0.989030190878471,          1.03638785093261, 1.12857946410316, 0.728040918615253,          0.473457593144303, 1.14436990313984, 1.07330463343821         ), PROX_GOOD_PRISCH = c(3.99853475328204, 3.87277035706644,          3.85984302070176, 4.11088283479722, 3.96984616110429,          4.13618512399158, 4.47678155678584, 4.55218800106713,          3.58178441884724, 3.58178441884724, 3.43096694593549,          4.26949140427292, 3.98479480133756, 3.47561641519302,          4.68517728936996, 2.70116277997296, 2.93310132502147,          3.02211493728223, 4.42346384619917, 4.46068770698473),          PROX_MALL = c(1.00998414702412, 0.955673327573223, 0.92062293894618,          0.801857467962545, 1.2652175398851, 1.16769889708728,          0.917363569028491, 1.09934779211931, 1.26743973989934,          1.26743973989934, 1.02435160052226, 0.962766222186716,          1.1081035152608, 1.1888213641646, 0.814872047472938,          1.02774547618649, 0.719613179783111, 0.570379319619026,          1.03774509228272, 0.971442928620489), PROX_CHAS = c(0.147909276913635,          0.260827480873255, 0.285886541141976, 0.130252709580884,          0.108899254787234, 0.121619853002556, 0.112941217538546,          0.304936065418075, 0.163154212627783, 0.163154212627783,          0.105578702221058, 0.0963682910788478, 0.345906079563203,          0.106822211501606, 0.0573592222158038, 0.193072984237221,          0.0706483510319072, 0.303272176186244, 0.0809467071188201,          0.108213750221125), PROX_SUPERMARKET = c(0.506391752127701,          0.512280309006142, 0.506434284786685, 0.591301773724787,          0.115229795891962, 0.191561540751545, 0.0867224629960944,          0.35411008396507, 0.118448079318654, 0.118448079318654,          0.0670716613901785, 0.269187390315468, 0.128350069204848,          0.139079920157556, 0.0573596645426592, 0.198191070641627,          0.0706487501399716, 0.34627255092781, 0.184584314799668,          0.131005301990959), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 2L, 2L, 1L,          1L, 0L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(6L, 5L,          4L, 4L, 4L, 4L, 5L, 3L, 3L, 3L, 2L, 4L, 4L, 6L, 3L, 4L,          2L, 1L, 3L, 3L), WITHIN_350M_BUS = c(5L, 5L, 5L, 6L,          5L, 5L, 4L, 5L, 7L, 7L, 5L, 6L, 3L, 7L, 4L, 9L, 3L, 6L,          7L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L, 2L, 2L,          2L, 1L, 3L, 3L, 3L, 2L, 2L, 2L, 0L, 3L, 2L, 1L, 0L, 0L         ), DNeighbour = c(0, 134.348250029885, 152.617153695176,          335.174661348883, 392.000302499424, 401.305449300089,          551.063424903798, 568.30901294956, 569.806238781314,          572.821103134322, 580.852509211021, 602.791252660933,          635.057539192884, 738.419881993983, 1290.98521035072,          1298.53985802479, 1366.08156401275, 1412.25644259233,          1474.69513467559, 1480.92222749826)), row.names = c("223",      "19", "747", "532", "176", "952", "237", "801", "907", "382",      "411", "699", "234", "849", "997", "646", "802", "346", "823",      "903"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.983607744579118,      0.978871928915979, 0.900174920898046, 0.864776951387654,      0.858528179031611, 0.742243291877004, 0.727154064128822,      0.725829556806458, 0.723155598281686, 0.715987965418621,      0.6960903119067, 0.666033088026868, 0.564566572475899, 0.0576298737249487,      0.0534266827054143, 0.0222248311693944, 0.00820544767432691,      7.0426821893719e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7682677976 
R squared (OOB):                  0.3098031 

$Forests[[224]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(358000, 337000, 360000,      340000, 333000, 335000, 364000, 375000, 373888, 333000, 325000,      333000, 320000, 320000, 339000, 330000, 350000, 328000, 313000,      320000), floor_area_sqm = c(101, 105, 105, 105, 103, 100,      100, 93, 93, 90, 91, 100, 101, 100, 102, 102, 102, 92, 99,      101), storey_order = c(3L, 1L, 3L, 1L, 1L, 4L, 2L, 5L, 5L,      2L, 2L, 4L, 1L, 4L, 3L, 1L, 4L, 3L, 4L, 2L), remaining_lease_mths = c(960,      947, 960, 956, 953, 930, 921, 993, 990, 1009, 970, 928, 924,      930, 923, 911, 923, 923, 918, 931), PROX_CBD = c(17.5852868111176,      17.5852868111176, 17.6410789876396, 17.6472423100513, 17.7412802518209,      17.9186379864086, 17.9386403893839, 17.8363687874637, 17.8363687874637,      17.8072819651564, 17.7083177660008, 18.2095446148373, 18.0902268845521,      18.242108360018, 17.9456645257603, 18.2320763538069, 18.0569924715364,      17.049182232397, 17.8728040148932, 17.1235753252943), PROX_ELDERLYCARE = c(0.979721953613503,      0.979721953613503, 0.969292416022308, 1.0260991137238, 1.00357172816211,      1.13507400842797, 0.714833653499633, 1.40920769604983, 1.40920769604983,      1.52664538751384, 0.378187975507624, 1.17430183890643, 0.706169610995159,      1.08331104464233, 0.476454782767532, 0.927534095024191, 0.59750504274373,      0.850080656271298, 0.330981516384048, 0.697818713768909),          PROX_HAWKER = c(0.300047945510982, 0.300047945510982,          0.270187519380927, 0.322354465675231, 0.286367973105455,          0.435091735724103, 0.201936965562497, 0.692541487012902,          0.692541487012902, 0.809141875883089, 0.340346390827249,          0.579651089601917, 0.370412154176866, 0.548257960059823,          0.3648710200987, 0.493410913505403, 0.391180253405874,          0.714958983882519, 0.446535534086157, 0.705945006380572         ), PROX_MRT = c(0.294966346549802, 0.294966346549802,          0.253083991654003, 0.296963624455722, 0.240079810641839,          0.364011265623101, 0.168914117564514, 0.634260663268818,          0.634260663268818, 0.753928873695942, 0.403335562748004,          0.501132314022455, 0.341202563029131, 0.47401652613315,          0.385567417899789, 0.433316978327494, 0.384524332485438,          0.785333186388227, 0.4868918768976, 0.782769723074986         ), PROX_PARK = c(2.22462050149276, 2.22462050149276,          2.26013213847351, 2.2163258228061, 2.28949331488756,          2.31505119222808, 1.99379565561889, 2.04440878541867,          2.04440878541867, 1.93736074272598, 1.86766019581863,          2.25371860749481, 1.8531048262974, 2.12857307310705,          1.76180373116006, 1.96114614265628, 1.77011013021076,          2.39009267562017, 1.69875568186822, 2.27471658155514),          PROX_GOOD_PRISCH = c(8.05369522760851, 8.05369522760851,          8.10977708422392, 8.10862356805264, 8.20478390995202,          8.3676789538936, 8.4444135457925, 8.25468587074647, 8.25468587074647,          8.21423979230025, 8.26299778187914, 8.6635222339794,          8.60631027953587, 8.71021480286832, 8.49089982759618,          8.72297519828522, 8.58956131155308, 7.5878538843241,          8.43952013253886, 7.68854504458572), PROX_MALL = c(0.237472256939882,          0.237472256939882, 0.204458422444813, 0.255877276101632,          0.222110908162432, 0.384238747959315, 0.238372860218233,          0.630636123898788, 0.630636123898788, 0.745769461616378,          0.335143296665789, 0.468966497593582, 0.342860958869265,          0.347669457974494, 0.428159644756295, 0.22704735136933,          0.407254736414821, 0.718658142186859, 0.330972758922268,          0.614584601713128), PROX_CHAS = c(0.145295883687343,          0.145295883687343, 0.201289943337815, 0.212266026856788,          0.222110881748482, 0.360842629752134, 0.076984763134016,          0.221589023831152, 0.221589023831152, 0.195830090979757,          0.30242004444134, 0.3998394205418, 0.209799590563819,          0.274735402884708, 0.218909691095897, 0.11607611654581,          0.222103720735081, 0.13498084818294, 0.330972805611547,          0.076148424020495), PROX_SUPERMARKET = c(0.237470779768967,          0.237470779768967, 0.204457160029983, 0.255876154174577,          0.222110358133712, 0.360842909613722, 0.171190500184261,          0.22158921197453, 0.22158921197453, 0.265666518411173,          0.332189289926598, 0.402574253870019, 0.342860053820009,          0.347668959247477, 0.365864675212809, 0.227046556279957,          0.385535197909366, 0.397684558683682, 0.300218301814749,          0.307215454393191), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L,          2L, 2L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L,          5L, 6L, 5L, 1L, 6L, 3L, 3L, 2L, 6L, 2L, 6L, 3L, 3L, 5L,          4L, 12L, 4L, 5L), WITHIN_350M_BUS = c(15L, 15L, 15L,          13L, 16L, 11L, 8L, 6L, 6L, 4L, 7L, 8L, 7L, 7L, 8L, 10L,          9L, 8L, 8L, 11L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 3L, 5L, 3L, 3L, 3L, 5L, 4L, 5L, 4L, 6L, 4L, 6L, 2L,          7L, 4L), DNeighbour = c(0, 9.04889972229672, 62.4144437001953,          77.5505652827712, 158.391751566371, 362.664817898355,          469.083849410221, 487.402993461761, 496.773627664067,          587.746020678993, 606.917532868434, 634.230872078002,          640.12226686095, 666.309709847877, 666.691268919663,          685.718087399879, 688.287835787201, 688.860418163935,          744.700185619775, 750.487019795162)), row.names = c("224",      "800", "615", "554", "242", "590", "638", "118", "391", "358",      "544", "243", "74", "608", "20", "443", "491", "520", "992",      "871"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999709260789906,      0.986214918432756, 0.978758328665424, 0.912898218240797,      0.587491259821372, 0.371278085225293, 0.334333840681797,      0.315666491245021, 0.149514981522645, 0.119720951214064,      0.0816924126907849, 0.0742503150277547, 0.0448365756486616,      0.0444549610008474, 0.0272768157226147, 0.0252454032581206,      0.0248024724667508, 0.000235993737560573, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       305288948 
R squared (OOB):                  0.08578841 

$Forests[[225]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 365000, 385000,      420000, 440000, 399000, 380000, 350000, 415000, 355000, 420000,      410000, 425000, 422500, 415000, 405000, 411000, 418000, 415000,      425000), floor_area_sqm = c(103, 103, 102, 103, 104, 102,      105, 84, 103, 84, 105, 84, 104, 104, 108, 106, 104, 84, 108,      104), storey_order = c(4L, 1L, 3L, 2L, 3L, 3L, 1L, 2L, 2L,      3L, 2L, 4L, 4L, 3L, 3L, 2L, 1L, 3L, 2L, 3L), remaining_lease_mths = c(772,      757, 755, 757, 752, 766, 775, 806, 768, 804, 787, 814, 775,      765, 904, 778, 806, 821, 891, 747), PROX_CBD = c(13.1724132817366,      13.0970803497533, 13.2614515751509, 13.2614515751509, 13.1913836000948,      13.0078000734933, 12.8173662852819, 13.3385512116162, 13.0537205387581,      13.01786092695, 12.7549887608908, 12.8927390133383, 13.5598735525989,      13.4875816574924, 13.7944980809676, 13.2146489403719, 13.1755942624772,      13.3325431063631, 13.8459786715751, 12.4246534304877), PROX_ELDERLYCARE = c(0.906244923447749,      0.830352740740998, 0.99636081833896, 0.99636081833896, 0.779182108791446,      0.748101088186933, 0.548539301056628, 1.09997831443452, 0.569472877275307,      0.807586217367385, 0.556485595404089, 0.702153634905252,      0.555470204987842, 0.428841001075194, 0.91518434198946, 0.392334185262972,      1.08363260419178, 1.22529955141455, 0.429452782693922, 0.223353489993969     ), PROX_HAWKER = c(1.03184370064912, 0.973651338137405, 1.14030290242306,      1.14030290242306, 1.05769292681279, 0.90031621758677, 0.687183343617196,      1.2578245237404, 0.963287544217337, 0.976719939584195, 0.627642822312809,      0.876276656944215, 1.44869421276883, 1.41347495302278, 1.66782294138278,      1.1504484389926, 1.26154745049637, 1.40113048988486, 1.71981564227335,      0.283538945902673), PROX_MRT = c(0.712767869041386, 0.602819058882962,      0.667490524156887, 0.667490524156887, 0.577154139562059,      0.513893198964272, 0.607087114668938, 0.602718547061467,      0.551410176707671, 0.343251427728879, 0.561554903993597,      0.279401054335897, 0.172867375742438, 0.229256973107587,      0.658832763416297, 0.530339592860526, 0.324849533681113,      0.481797794839233, 0.2084775132707, 0.694199692700576), PROX_PARK = c(0.94305137750942,      0.879464356596765, 0.758867978246924, 0.758867978246924,      1.12092772213378, 0.842333894517479, 0.953457314885518, 0.569772965965399,      0.974634241933185, 0.656436399769765, 1.16122098497616, 0.620470631841848,      1.16233583500127, 1.00267286051928, 0.645156432286565, 0.763919329225246,      0.447685878226129, 0.354623255285983, 1.1446906726086, 1.19561442246869     ), PROX_GOOD_PRISCH = c(1.76071721252525, 1.76550469910092,      1.91909050044553, 1.91909050044553, 1.6842887316892, 1.72660166123773,      1.5016146113424, 2.07907555576542, 1.48818847749708, 1.85318585541752,      1.29435567579286, 1.774803188623, 1.97663004084467, 1.87202126825599,      2.39271928635374, 1.57814209766337, 2.16883728054707, 2.29474127216967,      2.27101821651052, 1.09898709469432), PROX_MALL = c(0.808064657998832,      0.655283448157635, 0.72813233212774, 0.72813233212774, 0.813382909306435,      0.5620231960968, 0.635314033644823, 0.668924040978838, 0.593340478429386,      0.400117032043626, 0.542723135774117, 0.322264379768498,      1.05810160080284, 0.948424723316687, 1.14990641994387, 0.655287065425073,      0.386525633611572, 0.542371475290289, 1.35153556565047, 0.626909601034773     ), PROX_CHAS = c(0.253073540027742, 0.10733838099953, 0.255705601713763,      0.255705601713763, 0.19044114280624, 1.4078617678234e-08,      0.149554006756045, 0.191227179226131, 0.203693673714882,      0.191102980152323, 0.144180959238343, 0.241407331054591,      0.180657994610612, 0.231037598077535, 0.17469359838053, 0.358071114142678,      0.194419509978617, 0.059226360432522, 0.345234103044859,      0.221655673315632), PROX_SUPERMARKET = c(0.263318229535236,      0.176189281490626, 0.336474046543398, 0.336474046543398,      0.190441743522314, 0.0851968725918189, 0.14719471752053,      0.444314653432489, 0.349948262987797, 0.230446816430876,      0.150188458093997, 0.234452518543083, 0.180658044884504,      0.231037826802092, 0.357404112790227, 0.384538867225359,      0.386520309138909, 0.542367678587035, 0.426625283183798,      0.209750471448386), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      2L, 2L, 3L, 2L, 3L, 1L, 2L, 3L, 2L, 2L, 2L, 2L, 1L, 2L, 1L,      0L, 1L, 2L), WITHIN_350M_CHILDCARE = c(3L, 1L, 2L, 2L, 4L,      2L, 2L, 3L, 2L, 2L, 3L, 4L, 3L, 2L, 3L, 3L, 5L, 6L, 3L, 5L     ), WITHIN_350M_BUS = c(6L, 4L, 6L, 6L, 8L, 6L, 5L, 5L, 8L,      5L, 7L, 4L, 11L, 10L, 7L, 9L, 12L, 10L, 12L, 4L), WITHIN_1KM_PRISCH = c(4L,      4L, 4L, 4L, 5L, 4L, 5L, 5L, 6L, 4L, 5L, 4L, 6L, 5L, 4L, 6L,      4L, 4L, 5L, 5L), DNeighbour = c(0, 154.038007508604, 181.546419120947,      183.307596926416, 212.614395759611, 252.555089736115, 360.363833136022,      375.251056524303, 409.022697896025, 412.460387763435, 467.728437231615,      490.560755849834, 543.075098615692, 606.257202611763, 647.098462617926,      649.130291286247, 685.226546879751, 716.078010773726, 741.18489504884,      759.194518557367)), row.names = c("225", "597", "473", "753",      "229", "103", "523", "618", "541", "789", "215", "493", "564",      "663", "542", "511", "131", "565", "970", "186"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.919360642321322, 0.888903321792468, 0.886802367413085,      0.849292266640967, 0.790918630119427, 0.600147971742725,      0.571070372203589, 0.50372944505926, 0.496798599553562, 0.384944725522264,      0.339280494058993, 0.238438921016461, 0.131270570098095,      0.0748031743450956, 0.0723245571081919, 0.0343607624086149,      0.0121792182205129, 0.00219785585509561, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       612966482 
R squared (OOB):                  -0.008016944 

$Forests[[226]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(495000, 530000, 8e+05,      566888, 4e+05, 533000, 649888, 810000, 795888, 745000, 840000,      825000, 820000, 685000, 755000, 750000, 805000, 413888, 7e+05,      408000), floor_area_sqm = c(91, 118, 105, 88, 92, 88, 87,      90, 95, 90, 87, 87, 87, 85, 90, 90, 104, 88, 95, 84), storey_order = c(3L,      2L, 6L, 8L, 1L, 1L, 3L, 10L, 7L, 7L, 14L, 5L, 9L, 4L, 5L,      11L, 3L, 2L, 3L, 6L), remaining_lease_mths = c(648, 594,      938, 650, 555, 653, 1103, 1045, 1140, 1057, 1141, 1136, 1136,      1038, 1038, 1035, 919, 668, 1100, 647), PROX_CBD = c(5.90960582305016,      6.1023364257416, 6.53309552941355, 6.76124856282603, 5.99479776583207,      6.92829321613491, 7.02256530608061, 5.99670752478149, 6.26284978479934,      6.0390103189171, 4.70219035054856, 4.59114385332588, 4.59114385332588,      4.89531124268982, 4.88070069409732, 4.88070069409732, 4.1456930527125,      7.88501742637481, 7.97001655790022, 5.38657645344473), PROX_ELDERLYCARE = c(1.51538883702403,      0.14668864145384, 0.112238297630375, 0.20742531007413, 0.420516157550055,      0.389684735109723, 0.467453442926814, 0.788986586736525,      0.69800247969724, 0.798119493593788, 0.200702517977741, 0.125633226962327,      0.125633226962327, 0.307888742732217, 0.312658206579851,      0.312658206579851, 0.45180890917037, 0.487583248392117, 0.682273370470252,      0.465891927060243), PROX_HAWKER = c(0.358173289653819, 0.107292567178633,      0.357983508144609, 0.171967883722699, 0.295460487376037,      0.133504850959355, 0.207247650371579, 0.199496524550099,      0.130331819855385, 0.151348144296069, 0.646528219825606,      0.762382071136897, 0.762382071136897, 0.546104933523636,      0.595417483526792, 0.595417483526792, 0.668394095052703,      0.645875214067525, 0.840126401207934, 0.351855498276287),          PROX_MRT = c(0.107293182941521, 0.649340944892975, 0.404028215814371,          0.31120761671675, 0.305306521480229, 0.407218977151475,          0.409658939160285, 0.226103982865864, 0.132116935816272,          0.225262429159589, 0.491479629856663, 0.586728793826683,          0.586728793826683, 0.275254866694397, 0.314337158810329,          0.314337158810329, 0.413017272318271, 0.707952731476156,          0.726942522279936, 0.675587286197546), PROX_PARK = c(0.242854512033048,          0.711925115709351, 0.407986988455317, 0.273246118986377,          0.990750186553446, 0.377410917604964, 0.380160428577633,          0.97332058707081, 0.742212481577902, 0.921128796109604,          1.77379186206272, 1.65596921250538, 1.65596921250538,          1.60860995669454, 1.53366372097489, 1.53366372097489,          1.16828897329218, 0.511064020035708, 0.618444971248099,          1.05249384295472), PROX_GOOD_PRISCH = c(0.280669099407447,          1.64363723354824, 1.86607127862969, 1.9155109693321,          2.01228232098645, 2.0639866413545, 2.07008813823767,          2.41026804261554, 2.39901634170637, 2.45094763896652,          2.79995758206102, 2.86977258716747, 2.86977258716747,          2.96671225712824, 3.0451226436528, 3.0451226436528, 3.20846684942761,          2.82520953766913, 2.78644315018514, 3.52335384407219),          PROX_MALL = c(1.58703862644467, 0.58741271025502, 0.26702131219094,          0.191774654856939, 0.848644658978131, 0.352244010010256,          0.395390786334096, 1.14826594162738, 0.965908348364742,          1.15586968043917, 0.970860317849455, 0.992224857230604,          0.992224857230604, 0.696065710972082, 0.63262312230698,          0.63262312230698, 1.18405339004253, 0.535655644340599,          0.66906173274608, 0.184401966361696), PROX_CHAS = c(0.370138139733765,          0.142011209366223, 0.144966662256637, 0.19177461752976,          0.262677718190406, 0.180332756228222, 0.278446199404133,          0.157172829578474, 0.0879111496245458, 0.103484302768675,          0.0639130956899198, 0.156405874770629, 0.156405874770629,          0.22404402777184, 0.278004299073392, 0.278004299073392,          0.401816380076581, 0.102679570293108, 0.195243012850588,          0.131272369045618), PROX_SUPERMARKET = c(0.644143855185467,          0.585686837888717, 0.26343506825427, 0.113049768890948,          0.3581952061826, 0.0762755382886037, 0.0888694671696128,          0.212384620357781, 0.0879117778441782, 0.198926203527595,          0.0639125072278545, 0.156405662038775, 0.156405662038775,          0.224044642536509, 0.278004958714438, 0.278004958714438,          0.431453687618191, 0.158953339299884, 0.169510705521186,          0.182486832055582), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 0L, 3L, 2L, 3L, 2L, 0L, 0L, 5L, 5L,          5L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          5L, 4L, 1L, 5L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 4L, 5L, 5L,          1L, 1L, 0L, 1L), WITHIN_350M_BUS = c(5L, 5L, 3L, 8L,          8L, 7L, 10L, 10L, 5L, 9L, 7L, 7L, 7L, 9L, 8L, 8L, 7L,          5L, 7L, 8L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 0L, 1L,          0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L,          1L), DNeighbour = c(0, 1426.75855832792, 1693.77795338249,          1769.70867002038, 1779.90693701206, 1938.32041275843,          1960.50648143382, 2168.53768127162, 2181.46213176949,          2211.57453269924, 2517.31882485522, 2583.56252973876,          2586.09452299159, 2688.94931705912, 2761.64373572397,          2764.00744331966, 2921.74148249094, 2975.31331056828,          3156.12742387795, 3249.20950790922)), row.names = c("226",      "18", "81", "834", "413", "978", "221", "379", "562", "832",      "854", "333", "768", "916", "982", "39", "320", "338", "904",      "130"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.651544237557771,      0.530359028213715, 0.494697596552798, 0.489885966110462,      0.414898886367311, 0.404410973570284, 0.307548963897999,      0.301670784650683, 0.288063574639822, 0.159812386171843,      0.135246823695851, 0.134336429080936, 0.0993052677430674,      0.0770597875971399, 0.0763744621512775, 0.0366379474222192,      0.0260779393270047, 0.00318937285399772, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10878568663 
R squared (OOB):                  0.5440046 

$Forests[[227]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 320000, 345000,      350000, 330000, 338000, 295000, 315000, 339000, 364000, 305000,      315000, 330000, 312000, 324000, 313000, 320000, 336000, 288000,      310000), floor_area_sqm = c(102, 101, 102, 102, 102, 102,      101, 102, 102, 100, 99, 103, 103, 101, 90, 99, 100, 102,      84, 91), storey_order = c(4L, 1L, 2L, 4L, 1L, 4L, 1L, 2L,      3L, 2L, 1L, 2L, 1L, 2L, 4L, 4L, 4L, 3L, 3L, 4L), remaining_lease_mths = c(926,      924, 927, 923, 911, 922, 917, 913, 923, 921, 921, 926, 928,      933, 929, 918, 930, 916, 893, 927), PROX_CBD = c(18.236688278315,      18.0902268845521, 18.2868848905217, 18.0569924715364, 18.2320763538069,      18.1611534549189, 18.4986491838169, 17.9994058772431, 17.9456645257603,      17.9386403893839, 17.9733391318796, 18.5458637520931, 18.5768909080638,      18.4625985868209, 18.3448727328387, 17.8728040148932, 18.242108360018,      18.5506225538857, 18.3632948597919, 18.6571260927441), PROX_ELDERLYCARE = c(0.732088251039709,      0.706169610995159, 0.896456720381782, 0.59750504274373, 0.927534095024191,      0.519233937445895, 0.86418951980865, 0.430537495183344, 0.476454782767532,      0.714833653499633, 0.376016337241346, 0.890661700747245,      0.912532633143698, 0.765079897684544, 1.12000720290482, 0.330981516384048,      1.08331104464233, 0.859723249528503, 0.645296274244347, 1.27166470727688     ), PROX_HAWKER = c(0.537987121264097, 0.370412154176866,      0.547085889030319, 0.391180253405874, 0.493410913505403,      0.617364695979906, 0.838043969781633, 0.472244893923117,      0.3648710200987, 0.201936965562497, 0.501520555884575, 0.898999046399804,      0.935860141611343, 0.906262708365532, 0.636376603494217,      0.446535534086157, 0.548257960059823, 0.958117298193611,      0.921741667576702, 0.924657565926692), PROX_MRT = c(0.511061821383635,      0.341202563029131, 0.495991449430539, 0.384524332485438,      0.433316978327494, 0.623413162025338, 0.812751343363136,      0.492638498779759, 0.385567417899789, 0.168914117564514,      0.52882455357406, 0.87509641959225, 0.912233851204259, 0.897303014326537,      0.565211037998289, 0.4868918768976, 0.47401652613315, 0.942174684471822,      0.927224403125457, 0.861078471223358), PROX_PARK = c(1.7164330470264,      1.8531048262974, 1.86697967968657, 1.77011013021076, 1.96114614265628,      1.52418818882418, 1.49181484955502, 1.65421298847909, 1.76180373116006,      1.99379565561889, 1.62685700377268, 1.4387346144793, 1.41172869826724,      1.31620863428189, 2.08056453235766, 1.69875568186822, 2.12857307310705,      1.32670572464855, 1.22890358268929, 1.95136051888807), PROX_GOOD_PRISCH = c(8.76378557853615,      8.60631027953587, 8.78822500750919, 8.58956131155308, 8.72297519828522,      8.72758527833631, 9.04519470993137, 8.5589292690065, 8.49089982759618,      8.4444135457925, 8.54142359534323, 9.09837600782165, 9.13217936844248,      9.04019528068803, 8.81498363377987, 8.43952013253886, 8.71021480286832,      9.12094588228633, 8.96505409295358, 9.13456945987866), PROX_MALL = c(0.240339889961931,      0.342860958869265, 0.1450338527091, 0.407254736414821, 0.22704735136933,      0.475604736810637, 0.305101649121832, 0.446560923090423,      0.428159644756295, 0.238372860218233, 0.395841490391381,      0.359721010486642, 0.390092702495136, 0.414588198127445,      0.284195187673565, 0.330972758922268, 0.347669457974494,      0.46921205797367, 0.282416841692855, 0.300602441432182),          PROX_CHAS = c(0.184864523484869, 0.209799590563819, 0.0217240252323136,          0.222103720735081, 0.11607611654581, 0.405258493214775,          0.305101651313883, 0.324811070171065, 0.218909691095897,          0.076984763134016, 0.364030465322827, 0.359721009550721,          0.390092699752756, 0.399223798550346, 0.24769320941352,          0.330972805611547, 0.274735402884708, 0.469212052170377,          0.231219576578415, 0.214120710257936), PROX_SUPERMARKET = c(0.240339157209448,          0.342860053820009, 0.145032957963293, 0.385535197909366,          0.227046556279957, 0.475604214408431, 0.305101855713295,          0.408691343873882, 0.365864675212809, 0.171190500184261,          0.356071330024396, 0.359721304530864, 0.390093045846372,          0.414588227521533, 0.284194910851331, 0.300218301814749,          0.347668959247477, 0.469212308573368, 0.282416494634945,          0.214121714630789), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(6L, 6L,          7L, 4L, 5L, 5L, 6L, 4L, 3L, 6L, 3L, 5L, 5L, 6L, 5L, 4L,          3L, 6L, 8L, 3L), WITHIN_350M_BUS = c(7L, 7L, 9L, 9L,          10L, 10L, 9L, 9L, 8L, 8L, 11L, 9L, 9L, 8L, 8L, 8L, 7L,          8L, 8L, 8L), WITHIN_1KM_PRISCH = c(6L, 5L, 4L, 6L, 4L,          6L, 4L, 7L, 6L, 5L, 7L, 4L, 4L, 5L, 4L, 7L, 4L, 5L, 4L,          3L), DNeighbour = c(0, 166.648606964522, 178.536608913868,          181.416272401444, 252.803238442053, 260.28211602252,          301.76055822192, 305.316111243527, 309.040674105668,          340.830780301011, 354.504670354619, 361.327749371257,          401.996948638058, 413.513060450642, 426.042155467397,          429.115511365248, 434.123664380317, 440.724810147564,          500.238437127298, 541.38953127151)), row.names = c("227",      "74", "787", "491", "443", "330", "684", "177", "20", "638",      "179", "576", "828", "729", "512", "992", "608", "291", "864",      "761"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.819475804984016,      0.794324067264924, 0.788032859139554, 0.611454072399705,      0.591150739898236, 0.475170006372305, 0.46507144690257, 0.454484441687134,      0.364416407783165, 0.326303911820404, 0.30754394788566, 0.201288614463003,      0.173564145062568, 0.144949472244, 0.138202125722469, 0.127452974677646,      0.113773018548722, 0.0213869386758568, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       313359632 
R squared (OOB):                  0.1418764 

$Forests[[228]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(3e+05, 305000, 345000,      330000, 410000, 425000, 365000, 398000, 420000, 435000, 410000,      385000, 4e+05, 373000, 330000, 320000, 338000, 418000, 330000,      310000), floor_area_sqm = c(85, 90, 95, 105, 93, 93, 91,      92, 92, 92, 92, 90, 92, 92, 104, 107, 103, 112, 105, 104),          storey_order = c(2L, 1L, 3L, 1L, 4L, 4L, 4L, 2L, 5L,          4L, 3L, 3L, 1L, 1L, 3L, 1L, 4L, 5L, 1L, 3L), remaining_lease_mths = c(979,          966, 1003, 896, 1117, 1126, 1061, 1136, 1134, 1129, 1131,          1060, 1127, 1128, 847, 909, 836, 904, 909, 838), PROX_CBD = c(18.0119212314593,          18.0816861587931, 17.7047470513727, 17.9794873864528,          17.3263676504413, 17.3263676504413, 17.5974072281911,          17.26435404508, 17.2397585888566, 17.2397585888566, 17.2397585888566,          17.6242343596777, 17.1731083577317, 17.1731083577317,          18.238428451998, 18.5552891680356, 18.1853470145009,          17.2048826778539, 18.4634083712346, 18.2872060948971),          PROX_ELDERLYCARE = c(1.25793892145158, 1.34637729166943,          0.933045885854195, 1.20397588034421, 0.561119780492452,          0.561119780492452, 0.819477307137174, 0.542806768712765,          0.500148198332671, 0.500148198332671, 0.500148198332671,          0.892136309268664, 0.456899326246073, 0.456899326246073,          1.49823830734066, 1.77696496808422, 1.46334015610348,          0.400468425457175, 1.70649895251479, 1.57361264937598         ), PROX_HAWKER = c(1.33204585660377, 1.41733367811242,          1.00938993481846, 0.736691454978467, 0.631285601786086,          0.631285601786086, 0.922900854400271, 0.598096651463893,          0.55990768529081, 0.55990768529081, 0.55990768529081,          0.816419857336687, 0.507233229895407, 0.507233229895407,          0.548143788898404, 0.788681622626877, 0.490406092071559,          0.498365875295267, 0.656056303664779, 0.464971900021808         ), PROX_MRT = c(1.54554013822754, 1.64690112478102, 1.29287496569192,          1.05284557964442, 1.13344401626098, 1.13344401626098,          0.830609903675807, 1.20599959693509, 1.16124452414741,          1.16124452414741, 1.16124452414741, 0.729175757939742,          1.18009183772516, 1.18009183772516, 0.950317003394984,          1.18994045686449, 0.888080533877704, 0.87869292375624,          1.05945750202888, 0.870907467758581), PROX_PARK = c(0.23250554954982,          0.243247600736397, 0.495314460898113, 0.555889077383573,          0.872985599051717, 0.872985599051717, 0.751240825934154,          0.937816003807321, 0.959994438388966, 0.959994438388966,          0.959994438388966, 0.830497330619545, 1.02763138312455,          1.02763138312455, 0.690805332809177, 0.662341635279621,          0.741201414908801, 0.9054780070858, 0.707700114575514,          0.791043930625847), PROX_GOOD_PRISCH = c(7.41905192895776,          7.49669975318446, 7.10206992983331, 7.33264137396139,          6.72174636420399, 6.72174636420399, 6.95474206477502,          6.66937916554136, 6.64012383316355, 6.64012383316355,          6.64012383316355, 6.97273607492461, 6.57664814247058,          6.57664814247058, 7.58243576478886, 7.9054148179446,          7.52724739525134, 6.57740517739392, 7.80883552790736,          7.62743554697163), PROX_MALL = c(0.658794213245526, 0.694568288644574,          0.790613232916467, 0.387548928263219, 0.530342726071102,          0.530342726071102, 0.757845794253982, 0.484724019608978,          0.450738515511335, 0.450738515511335, 0.450738515511335,          0.671391539314818, 0.392080122681935, 0.392080122681935,          0.291730094824992, 0.238299753757691, 0.362005799982455,          0.446026044391999, 0.25445476080495, 0.369641594977131         ), PROX_CHAS = c(0.166262674114357, 0.119012364389208,          0.40646651865696, 0.324283073315245, 0.254413742194056,          0.254413742194056, 0.175468897673469, 0.270084445320348,          0.221318263528924, 0.221318263528924, 0.221318263528924,          0.0497500971788425, 0.214971829128206, 0.214971829128206,          0.0811018368302058, 0.177138384703249, 0.11010335009361,          0.130380344727655, 0.163921847201363, 0.000458346083760352         ), PROX_SUPERMARKET = c(0.385510043100507, 0.485184742393951,          0.260900811674997, 0.337417678694655, 0.529573977763673,          0.529573977763673, 0.336744227428862, 0.483753219919624,          0.449846933875903, 0.449846933875903, 0.449846933875903,          0.442456788826315, 0.391090025360665, 0.391090025360665,          0.289827711639516, 0.237159648524433, 0.36017462873485,          0.445962312606475, 0.25256410508494, 0.367596841627256         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 2L, 2L, 2L,          1L, 2L, 2L, 2L, 2L, 0L, 2L, 2L, 4L, 3L, 7L, 3L, 4L, 6L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L, 3L, 3L, 3L,          3L, 4L, 4L, 4L, 4L, 2L, 4L, 4L, 3L, 3L, 4L, 2L, 3L, 4L         ), WITHIN_350M_BUS = c(9L, 8L, 6L, 9L, 5L, 5L, 6L, 6L,          6L, 6L, 6L, 12L, 8L, 8L, 10L, 10L, 11L, 8L, 12L, 9L),          WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 5L, 3L, 3L, 4L, 3L,          3L, 3L, 3L, 4L, 2L, 2L, 4L, 4L, 5L, 3L, 4L, 5L), DNeighbour = c(0,          107.678290515562, 329.349704251615, 651.87107750309,          698.072567712044, 698.526873902895, 717.887285843092,          743.485231868853, 771.50064434784, 772.83935128673, 777.753485282297,          827.878933227428, 833.853128746513, 835.965849322054,          856.231783975604, 890.03827736106, 894.191841570751,          895.878313003643, 909.878888276081, 965.480770988814)), row.names = c("228",      "85", "631", "870", "797", "925", "720", "847", "280", "290",      "86", "300", "507", "985", "839", "169", "857", "889", "748",      "414"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.975277657640445,      0.780808481304887, 0.296082991595248, 0.227744762503844,      0.22709556382044, 0.199922684856871, 0.165645952074609, 0.130656285231059,      0.129057824798982, 0.123251380030147, 0.0700823681326276,      0.0645569812923112, 0.0626480987893195, 0.0455847971031369,      0.022552172750865, 0.0202275210460436, 0.0193167903178158,      0.0125133507981376, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       473511881 
R squared (OOB):                  0.7677098 

$Forests[[229]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(440000, 395000, 415000,      365000, 385000, 420000, 425000, 422500, 420000, 405000, 399000,      380000, 350000, 4e+05, 355000, 415000, 410000, 415000, 450000,      385000), floor_area_sqm = c(104, 103, 103, 103, 102, 103,      104, 104, 105, 106, 102, 105, 84, 107, 84, 108, 84, 108,      106, 84), storey_order = c(3L, 4L, 2L, 1L, 3L, 2L, 4L, 3L,      2L, 2L, 3L, 1L, 2L, 1L, 3L, 2L, 4L, 3L, 2L, 2L), remaining_lease_mths = c(752,      772, 768, 757, 755, 757, 775, 765, 787, 778, 766, 775, 806,      912, 804, 891, 814, 904, 919, 815), PROX_CBD = c(13.1913836000948,      13.1724132817366, 13.0537205387581, 13.0970803497533, 13.2614515751509,      13.2614515751509, 13.5598735525989, 13.4875816574924, 12.7549887608908,      13.2146489403719, 13.0078000734933, 12.8173662852819, 13.3385512116162,      13.6047453762483, 13.01786092695, 13.8459786715751, 12.8927390133383,      13.7944980809676, 13.6245617307962, 13.8115996810708), PROX_ELDERLYCARE = c(0.779182108791446,      0.906244923447749, 0.569472877275307, 0.830352740740998,      0.99636081833896, 0.99636081833896, 0.555470204987842, 0.428841001075194,      0.556485595404089, 0.392334185262972, 0.748101088186933,      0.548539301056628, 1.09997831443452, 0.271914041498034, 0.807586217367385,      0.429452782693922, 0.702153634905252, 0.91518434198946, 0.120631950903102,      0.244605555667631), PROX_HAWKER = c(1.05769292681279, 1.03184370064912,      0.963287544217337, 0.973651338137405, 1.14030290242306, 1.14030290242306,      1.44869421276883, 1.41347495302278, 0.627642822312809, 1.1504484389926,      0.90031621758677, 0.687183343617196, 1.2578245237404, 1.50728197565297,      0.976719939584195, 1.71981564227335, 0.876276656944215, 1.66782294138278,      1.48009929412898, 1.71143518366979), PROX_MRT = c(0.577154139562059,      0.712767869041386, 0.551410176707671, 0.602819058882962,      0.667490524156887, 0.667490524156887, 0.172867375742438,      0.229256973107587, 0.561554903993597, 0.530339592860526,      0.513893198964272, 0.607087114668938, 0.602718547061467,      0.222008379422339, 0.343251427728879, 0.2084775132707, 0.279401054335897,      0.658832763416297, 0.357520644011877, 0.198072339225813),          PROX_PARK = c(1.12092772213378, 0.94305137750942, 0.974634241933185,          0.879464356596765, 0.758867978246924, 0.758867978246924,          1.16233583500127, 1.00267286051928, 1.16122098497616,          0.763919329225246, 0.842333894517479, 0.953457314885518,          0.569772965965399, 0.882483872449952, 0.656436399769765,          1.1446906726086, 0.620470631841848, 0.645156432286565,          0.731000545087102, 0.925135888784), PROX_GOOD_PRISCH = c(1.6842887316892,          1.76071721252525, 1.48818847749708, 1.76550469910092,          1.91909050044553, 1.91909050044553, 1.97663004084467,          1.87202126825599, 1.29435567579286, 1.57814209766337,          1.72660166123773, 1.5016146113424, 2.07907555576542,          1.96272742295518, 1.85318585541752, 2.27101821651052,          1.774803188623, 2.39271928635374, 1.96554365084008, 2.17137072991142         ), PROX_MALL = c(0.813382909306435, 0.808064657998832,          0.593340478429386, 0.655283448157635, 0.72813233212774,          0.72813233212774, 1.05810160080284, 0.948424723316687,          0.542723135774117, 0.655287065425073, 0.5620231960968,          0.635314033644823, 0.668924040978838, 1.0427530371351,          0.400117032043626, 1.35153556565047, 0.322264379768498,          1.14990641994387, 1.05956757611768, 1.25122768833936),          PROX_CHAS = c(0.19044114280624, 0.253073540027742, 0.203693673714882,          0.10733838099953, 0.255705601713763, 0.255705601713763,          0.180657994610612, 0.231037598077535, 0.144180959238343,          0.358071114142678, 1.4078617678234e-08, 0.149554006756045,          0.191227179226131, 0.15212794302602, 0.191102980152323,          0.345234103044859, 0.241407331054591, 0.17469359838053,          2.17172157220984e-06, 0.130123043615932), PROX_SUPERMARKET = c(0.190441743522314,          0.263318229535236, 0.349948262987797, 0.176189281490626,          0.336474046543398, 0.336474046543398, 0.180658044884504,          0.231037826802092, 0.150188458093997, 0.384538867225359,          0.0851968725918189, 0.14719471752053, 0.444314653432489,          0.353624023725788, 0.230446816430876, 0.426625283183798,          0.234452518543083, 0.357404112790227, 0.237807435452358,          0.30366394922488), WITHIN_350M_KINDERGARTEN = c(3L, 1L,          2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 0L, 3L, 1L,          2L, 1L, 3L, 0L), WITHIN_350M_CHILDCARE = c(4L, 3L, 2L,          1L, 2L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 6L, 2L, 3L, 4L,          3L, 5L, 3L), WITHIN_350M_BUS = c(8L, 6L, 8L, 4L, 6L,          6L, 11L, 10L, 7L, 9L, 6L, 5L, 5L, 12L, 5L, 12L, 4L, 7L,          10L, 10L), WITHIN_1KM_PRISCH = c(5L, 4L, 6L, 4L, 4L,          4L, 6L, 5L, 5L, 6L, 4L, 5L, 5L, 5L, 4L, 5L, 4L, 4L, 4L,          5L), DNeighbour = c(0, 212.614395759611, 224.244069703504,          354.927451978882, 378.480525512971, 381.27836232303,          406.780017793443, 426.048315967446, 430.202508047113,          436.613888370715, 438.354091702976, 461.485452314203,          569.924819770978, 604.244999738793, 616.616760245089,          664.54444865423, 680.243121922705, 721.572874673591,          742.030145072354, 757.085317641606)), row.names = c("229",      "225", "541", "597", "473", "753", "564", "663", "215", "511",      "103", "523", "618", "955", "789", "970", "493", "542", "656",      "235"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.848485881857511,      0.832235021066849, 0.608742169864646, 0.562623100275659,      0.55707336408994, 0.505963964696282, 0.46691882610288, 0.458476307756043,      0.445439933788166, 0.441901085686444, 0.394939599175194,      0.187757619007422, 0.131772140983427, 0.113335002715813,      0.0526818318245508, 0.0371306262544099, 0.00839300323635927,      0.00155046635990518, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       472452492 
R squared (OOB):                  0.3263158 

$Forests[[230]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(316000, 304000, 358888,      345000, 335000, 365000, 420000, 360000, 390000, 340000, 415000,      446000, 370000, 342000, 420000, 365000, 4e+05, 365000, 428000,      420000), floor_area_sqm = c(104, 104, 91, 92, 90, 107, 99,      103, 104, 104, 100, 107, 104, 94, 90, 95, 97, 105, 98, 104     ), storey_order = c(1L, 2L, 3L, 2L, 1L, 1L, 3L, 1L, 1L, 1L,      1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 4L), remaining_lease_mths = c(777,      776, 763, 742, 731, 766, 929, 777, 763, 772, 944, 783, 763,      747, 925, 735, 734, 771, 730, 774), PROX_CBD = c(13.8730731524118,      13.8730731524118, 13.6826822978472, 13.8901285505698, 13.8901285505698,      13.578535689825, 13.2222340992065, 13.7231688188033, 13.1145091682395,      13.1145091682395, 13.1525533734461, 13.1163383572019, 13.075732494377,      13.7770670669378, 12.960867808991, 13.3652677077184, 13.4040436118709,      14.8222691165004, 14.0949321583848, 15.0460728336845), PROX_ELDERLYCARE = c(0.192118066579221,      0.192118066579221, 0.000158780971194199, 0.540311266279695,      0.540311266279695, 0.535215785060316, 0.385934705647939,      0.681177733621966, 0.233566729538939, 0.233566729538939,      0.640770029240432, 0.258125844069092, 0.206309775801723,      0.919307603677702, 0.579007844644764, 0.876024529291782,      0.954835536666776, 0.151522520392741, 1.07365166923746, 0.0734543941007858     ), PROX_HAWKER = c(0.635045114374877, 0.635045114374877,      0.699744847940348, 0.213123049695643, 0.213123049695643,      0.775756145922257, 1.08380419022874, 0.601426993813282, 1.24018164124527,      1.24018164124527, 0.959649545299011, 1.23349193679857, 1.2806114078583,      0.478671478091809, 1.16344345150942, 0.775887609068758, 0.780321580506598,      0.189112683951821, 0.516176882783883, 0.321243604465073),          PROX_MRT = c(0.865482366580506, 0.865482366580506, 0.751023886560838,          0.793013171832836, 0.793013171832836, 0.357978123578611,          0.503688459146237, 0.498221170198522, 0.402767024758649,          0.402767024758649, 0.944408516927639, 0.166998983475289,          0.218393806785847, 0.771349314593772, 0.899387073359532,          0.585785046275015, 0.515309591544804, 0.506610369321483,          0.499812381699912, 0.667161579318597), PROX_PARK = c(1.73324375775577,          1.73324375775577, 1.77145949687945, 1.23128896715218,          1.23128896715218, 1.33984402369384, 1.61082819122054,          1.26781451063295, 1.4917670023494, 1.4917670023494, 1.65277848527316,          1.28385310080255, 1.31516124688894, 0.941140572803456,          1.44660566239193, 1.30724345285799, 1.22140134317452,          1.20591145519053, 0.62523741493865, 1.32178658469093),          PROX_GOOD_PRISCH = c(3.76914808697313, 3.76914808697313,          3.58938982364218, 3.56420611596829, 3.56420611596829,          3.55013641033528, 3.2388029474634, 3.673854441535, 3.15473759747012,          3.15473759747012, 2.95137840528657, 3.10133739012884,          3.06740437701091, 3.3146343023011, 2.82458087567675,          2.95461231779958, 2.95770979509606, 4.44405903659268,          3.57828936266804, 4.66454637236311), PROX_MALL = c(0.861712986146148,          0.861712986146148, 0.770100764029299, 1.05377974643614,          1.05377974643614, 0.305514521023982, 0.587950861513872,          0.406890039239853, 0.504156272689578, 0.504156272689578,          0.703422933264244, 0.281310431650798, 0.332903613799786,          0.672803550263317, 0.695129776671669, 0.473263954532778,          0.412160376682232, 1.74752862756084, 0.812049880186,          1.83033637772351), PROX_CHAS = c(0.0967538959757692,          0.0967538959757692, 0.110149755252424, 0.0812638133573676,          0.0812638133573676, 0.282171570268124, 0.151225190585885,          0.176857487498571, 0.11048408202451, 0.11048408202451,          0.1365287941905, 0.155371621529032, 0.122328851042638,          0.0886717393158711, 0.341366062526918, 0.179342279988699,          0.240863562772424, 0.191193294854487, 0.135156069731972,          0.0544168696099871), PROX_SUPERMARKET = c(0.094684564379848,          0.094684564379848, 0.11210687568128, 0.082811926566736,          0.082811926566736, 0.281417393052806, 0.459946280432931,          0.270532795629183, 0.362446168440829, 0.362446168440829,          0.688592108834651, 0.141466460051892, 0.193246634773484,          0.334979160094168, 0.668273194253219, 0.487840963146543,          0.422907964790702, 0.188017328828043, 0.352618767904154,          0.286721618184596), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L,          1L, 1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 4L, 4L, 4L, 5L, 4L, 6L, 6L, 2L, 4L, 4L, 3L, 1L, 6L,          5L, 2L, 1L, 1L), WITHIN_350M_BUS = c(8L, 8L, 9L, 4L,          4L, 10L, 8L, 8L, 7L, 7L, 6L, 9L, 10L, 10L, 2L, 6L, 6L,          6L, 9L, 5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 4L, 4L,          4L, 4L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L,          1L), DNeighbour = c(0, 5.05396255470701, 196.055267134639,          519.888583851506, 521.774816069077, 584.484572078182,          662.033486552137, 677.763487118893, 781.929013005699,          787.429085211625, 824.233568185936, 883.785719341087,          906.975055130094, 948.303108016742, 968.22962817477,          991.817471270014, 1057.39042256982, 1085.44782796356,          1126.25124286837, 1283.60541903076)), row.names = c("230",      "36", "1000", "214", "90", "856", "350", "960", "164", "844",      "496", "105", "929", "337", "831", "238", "757", "64", "25",      "256"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999968995296304,      0.953886470793833, 0.698824247905073, 0.696831907307841,      0.62830993143919, 0.538742338466719, 0.520128991933255, 0.395536042011895,      0.388974017956638, 0.345364311179063, 0.276615681191432,      0.250739593028104, 0.206300228370878, 0.18578202223696, 0.162380089615251,      0.103304181560617, 0.081179225696416, 0.052967905803401,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1276047800 
R squared (OOB):                  0.2055903 

$Forests[[231]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(382000, 390000, 403500,      426888, 430000, 380000, 460000, 475000, 440000, 422000, 425000,      455000, 548888, 580000, 420000, 388000, 468000, 460000, 458888,      450000), floor_area_sqm = c(86, 90, 90, 92, 92, 90, 92, 92,      92, 92, 92, 92, 92, 92, 92, 90, 92, 92, 92, 92), storey_order = c(2L,      5L, 5L, 1L, 1L, 4L, 5L, 2L, 2L, 2L, 4L, 4L, 2L, 4L, 2L, 1L,      4L, 3L, 4L, 3L), remaining_lease_mths = c(989, 978, 965,      1141, 1134, 973, 1136, 1126, 1136, 1132, 988, 1136, 1130,      1134, 1139, 956, 1124, 1137, 1130, 1136), PROX_CBD = c(12.3082954752684,      12.4059518996545, 12.0682850666201, 12.5841594105866, 12.5852639843962,      11.9491294576901, 12.5778468618744, 12.6532888174316, 12.6445046545469,      12.6523002899419, 12.1902934701837, 12.5530445309639, 11.7494815193957,      11.7494815193957, 12.4951121122816, 12.6254404323309, 12.5372560863306,      12.6444338023734, 12.6444338023734, 12.6444338023734), PROX_ELDERLYCARE = c(0.583230122785789,      0.404564014080405, 0.36227142211874, 0.419823195233641, 0.3637938018331,      0.351349913726565, 0.25879478544564, 0.373604611296459, 0.316798451576888,      0.17445131765005, 0.362754738306624, 4.52036057904239e-07,      0.0736890817471424, 0.0736890817471424, 0.0780281999502717,      0.92626814118798, 0.066903342124331, 0.0933099122535032,      0.0933099122535032, 0.0933099122535032), PROX_HAWKER = c(0.732610931237137,      0.551023632791116, 0.732401821736703, 0.512822421809829,      0.45815519033126, 0.693645859237657, 0.361759384229333, 0.440383933038266,      0.385855619963418, 0.228019105088385, 0.536726116414185,      0.183834631869038, 0.418792449609449, 0.418792449609449,      0.227760265989261, 1.13552097839855, 0.184899994018696, 0.0943584031018698,      0.0943584031018698, 0.0943584031018698), PROX_MRT = c(0.348338435446781,      0.467412150427879, 0.353072027979069, 0.285300897266269,      0.305105021876954, 0.207404211118571, 0.325317058740364,      0.24828698655044, 0.290856617513635, 0.189124878414716, 0.364194860258715,      0.225183269009929, 0.183595482094196, 0.183595482094196,      0.288636635543175, 0.252582104498609, 0.250680884626282,      0.135663244459145, 0.135663244459145, 0.135663244459145),          PROX_PARK = c(1.248380402738, 1.06942514246801, 1.2554933111164,          1.05356492524152, 0.998305920751222, 1.42337349535551,          0.898636927133822, 0.981635622560504, 0.927332929158558,          0.76865606278053, 0.883674706708426, 0.665189387379371,          1.25382465781663, 1.25382465781663, 0.64692671777276,          0.682542858399859, 0.614568616662392, 0.61385987529272,          0.61385987529272, 0.61385987529272), PROX_GOOD_PRISCH = c(2.82059786507503,          2.85954585658161, 2.66094910730305, 3.04090040576321,          3.02473222579279, 2.48771655129493, 2.98751376551561,          3.08870420529617, 3.06407026512831, 3.02962689364369,          2.54749739008747, 2.90013878468328, 2.40225451049103,          2.40225451049103, 2.83249303987555, 3.31643945338342,          2.87119716545371, 2.98554640042679, 2.98554640042679,          2.98554640042679), PROX_MALL = c(0.312386349772529, 0.423524868376446,          0.424043071559413, 0.39575302739997, 0.450387082903272,          0.591401580344059, 0.550769417999913, 0.475487624694748,          0.525247230278188, 0.680457081346124, 0.835543217968543,          0.801147315442336, 0.730910693989521, 0.730910693989521,          0.848059510883206, 0.289170330853986, 0.863947607104433,          0.835997866672575, 0.835997866672575, 0.835997866672575         ), PROX_CHAS = c(0.200650927390068, 0.187639553192951,          0.0850792531740411, 0.369996201265779, 0.324614821605945,          0.136369833447508, 0.236995708134403, 0.362882313204726,          0.312339613016365, 0.162820120107843, 0.167384851183216,          0.0780281620295796, 0.105514964386053, 0.105514964386053,          3.19858778746232e-08, 0.248410865511824, 0.0439945201117045,          0.102096070463208, 0.102096070463208, 0.102096070463208         ), PROX_SUPERMARKET = c(0.200651971059786, 0.375814638453933,          0.0850782630125017, 0.385003628727568, 0.389269910824952,          0.234851160706955, 0.299832635957983, 0.36465940083402,          0.312339147167174, 0.162819600148508, 0.552359009160243,          0.189775839444753, 0.100761764224213, 0.100761764224213,          0.255060837787685, 0.298638993269614, 0.218453608018692,          0.102095775430648, 0.102095775430648, 0.102095775430648         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 1L, 0L,          1L, 1L, 1L, 1L, 2L, 1L, 0L, 0L, 3L, 0L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 5L, 4L, 4L, 6L,          5L, 5L, 5L, 6L, 3L, 7L, 5L, 5L, 5L, 8L, 6L, 7L, 7L, 7L         ), WITHIN_350M_BUS = c(8L, 10L, 12L, 10L, 11L, 12L, 8L,          11L, 11L, 11L, 12L, 11L, 14L, 14L, 10L, 12L, 10L, 10L,          10L, 10L), WITHIN_1KM_PRISCH = c(6L, 5L, 7L, 5L, 4L,          7L, 4L, 4L, 4L, 4L, 3L, 4L, 6L, 6L, 4L, 6L, 4L, 4L, 4L,          4L), DNeighbour = c(0, 177.927304114115, 288.981968762122,          295.471619627795, 317.907879779711, 361.130942637211,          379.65774896544, 387.390797035836, 408.170315596421,          514.8848348833, 529.777655134902, 575.612813387278, 592.197969200904,          592.913850585474, 603.803844286556, 604.773745586552,          631.738285328832, 636.156723913105, 637.28797977783,          643.133658062188)), row.names = c("231", "138", "860",      "868", "180", "175", "355", "759", "144", "311", "783", "764",      "808", "281", "791", "111", "672", "92", "807", "166"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.852780239413915, 0.636961610495139, 0.622408583386599,      0.57101732649642, 0.468811152407056, 0.424473917679774, 0.405993133485023,      0.356657926248993, 0.128923715217712, 0.103327148162134,      0.0395819805318842, 0.023142300786903, 0.0225224410618279,      0.0140581508340505, 0.0133941445894142, 0.0012336309095121,      0.000465653168532477, 0.000327469513872909, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2175710846 
R squared (OOB):                  0.1643561 

$Forests[[232]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(348000, 372500, 420000,      433000, 450000, 452000, 380000, 490000, 475000, 475000, 376000,      505000, 5e+05, 415000, 505000, 540000, 378888, 558000, 330000,      540000), floor_area_sqm = c(100, 102, 93, 92, 95, 95, 92,      92, 93, 90, 102, 90, 92, 92, 92, 92, 90, 92, 91, 90), storey_order = c(3L,      2L, 2L, 4L, 2L, 4L, 1L, 3L, 4L, 5L, 5L, 6L, 3L, 2L, 4L, 6L,      6L, 6L, 3L, 3L), remaining_lease_mths = c(938, 931, 1099,      1084, 1109, 1112, 1037, 1038, 1130, 1031, 944, 1033, 1049,      1130, 1051, 1142, 949, 1136, 951, 1067), PROX_CBD = c(11.8646943012694,      11.9627383543319, 11.8999896789117, 11.8702915361943, 12.0901026943072,      12.1424265739316, 11.6419253241709, 11.6213283462416, 11.4536743231806,      11.780035597066, 11.9885535057438, 11.6571985599938, 11.4975151935682,      11.3687765497058, 11.4388659085475, 11.3687765497058, 12.4403773011877,      11.665784828589, 12.402570085049, 11.5237533038112), PROX_ELDERLYCARE = c(0.893707553155367,      0.96089261866182, 0.790393757138983, 0.670900780040593, 0.911165280518988,      0.88680281476439, 0.626216066088841, 0.621923465733728, 1.19895989384568,      0.389019901488026, 0.468647269590137, 0.400746835300904,      0.485429735975203, 1.27208236570677, 0.529438756707198, 1.27208236570677,      0.624054710630084, 1.35367167055226, 0.628872951670854, 0.374021376468387     ), PROX_HAWKER = c(0.888626336009462, 0.983415578941634,      0.820501997631561, 0.715369360111721, 0.995330006841388,      0.999275592501037, 0.553081930127745, 0.537052085835962,      1.02903329925728, 0.475091880549249, 0.661637750611862, 0.38372613736418,      0.320302217757218, 1.07923254025891, 0.319632581294072, 1.07923254025891,      1.46996215979098, 1.3549106116919, 1.50745216628998, 0.235307086042243     ), PROX_MRT = c(0.214047355776769, 0.122900516984256, 0.261250382411254,      0.146531371307633, 0.231980634651484, 0.303530488733859,      0.168432978085695, 0.182944945438028, 0.573574303209013,      0.149757666469573, 0.253577460439113, 0.187661086924798,      0.24936700359253, 0.671331594421278, 0.264110896255266, 0.671331594421278,      0.140157494228817, 0.561684506891731, 0.198968515523371,      0.148196296616071), PROX_PARK = c(0.747986195716587, 0.836149627657164,      0.813614799778521, 0.8322137924942, 0.750469455971567, 0.699596772952975,      0.654970873229416, 0.643411448820926, 0.341254943367627,      0.915827670442916, 0.965214735166117, 0.822874314333037,      0.698336840868775, 0.294690087030438, 0.653351036954048,      0.294690087030438, 0.525489875872169, 0.671016599957339,      0.61879465488716, 0.808531626238996), PROX_GOOD_PRISCH = c(3.05097986431403,      3.15511978010431, 3.00567179865442, 2.91053685401804, 3.19167768034691,      3.20088339163048, 2.71543842399088, 2.69528593883292, 2.96812409551872,      2.67648686403773, 2.84793008582659, 2.58492752090912, 2.48345794754568,      2.95589454100459, 2.45055199705462, 2.95589454100459, 3.6640626331803,      3.32537175969635, 3.69141799128789, 2.43173748992112), PROX_MALL = c(0.265637621954407,      0.161680393170103, 0.283076960540796, 0.385092319171944,      0.1200910408013, 0.171446483339376, 0.576398809288588, 0.597386337892971,      0.714729745574342, 0.657761426948524, 0.581599658792334,      0.718523422751835, 0.805279144871904, 0.814743407183115,      0.840491697823826, 0.814743407183115, 0.37643645467035, 0.714662485508778,      0.407881748949563, 0.840908486660855), PROX_CHAS = c(0.265637621677666,      0.161680400961643, 0.283076936045466, 0.179381733260264,      0.120090990225825, 0.171446425970546, 0.118628580179885,      0.130352204164602, 0.31407050179696, 0.165734916528407, 0.0548782345589675,      0.162236141473446, 0.18789773503711, 0.257507761616553, 0.210772889992189,      0.257507761616553, 0.376436475429729, 0.167944095298073,      0.407881782403473, 0.0822817354855642), PROX_SUPERMARKET = c(0.211091622880127,      0.107037284539066, 0.236972988988714, 0.31749021679057, 0.109512866312649,      0.178201527122821, 0.0879874709963817, 0.0679201472407272,      0.345653574215055, 0.328761363845442, 0.41771106664497, 0.248678179468178,      0.186124684843571, 0.30094246041235, 0.189609627596398, 0.30094246041235,      0.426522673463594, 0.215917356790886, 0.451295114828249,      0.113409172087645), WITHIN_350M_KINDERGARTEN = c(0L, 0L,      0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L,      0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(7L, 8L, 7L, 9L, 8L,      7L, 6L, 6L, 2L, 9L, 6L, 8L, 4L, 3L, 4L, 3L, 4L, 1L, 3L, 4L     ), WITHIN_350M_BUS = c(8L, 9L, 9L, 10L, 8L, 9L, 8L, 8L, 8L,      8L, 14L, 9L, 8L, 10L, 7L, 10L, 11L, 4L, 9L, 5L), WITHIN_1KM_PRISCH = c(5L,      4L, 5L, 5L, 4L, 5L, 5L, 6L, 4L, 6L, 7L, 5L, 4L, 3L, 5L, 3L,      4L, 2L, 4L, 4L), DNeighbour = c(0, 110.929765875516, 124.977938856165,      233.362176126907, 235.593765795852, 300.84789588455, 343.106950971655,      357.242465506112, 508.807985974036, 509.093895721149, 521.539429267586,      525.246938036327, 582.837203470667, 602.899637035038, 604.746593748705,      609.598987756946, 627.32270265948, 629.625873105805, 639.719477580213,      654.877919650077)), row.names = c("232", "295", "185", "110",      "117", "147", "421", "89", "132", "263", "486", "977", "553",      "157", "271", "876", "444", "830", "80", "652"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.943437347406359, 0.928485433932141, 0.762161411813217,      0.757906683980791, 0.622451376851134, 0.526353928729716,      0.493392199596067, 0.157091187224705, 0.156553724753054,      0.133780408602703, 0.127242485892128, 0.0432270946890903,      0.0232386097952859, 0.021679996079555, 0.0178226698057653,      0.00678700621078093, 0.00572034936133058, 0.00209380968870463,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3512978544 
R squared (OOB):                  0.2394844 

$Forests[[233]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 395000, 450000,      448000, 420000, 405000, 393000, 455000, 430000, 405000, 410000,      360000, 430000, 380000, 380000, 362500, 367000, 412000, 495000,      425000), floor_area_sqm = c(103, 106, 106, 116, 112, 105,      103, 113, 104, 104, 106, 84, 107, 106, 107, 103, 104, 104,      93, 104), storey_order = c(3L, 2L, 4L, 3L, 4L, 3L, 2L, 5L,      2L, 2L, 2L, 3L, 4L, 1L, 2L, 3L, 1L, 2L, 2L, 3L), remaining_lease_mths = c(834,      834, 834, 827, 866, 856, 818, 824, 861, 862, 871, 811, 868,      887, 871, 819, 879, 878, 1131, 871), PROX_CBD = c(15.1256206124729,      15.1256206124729, 15.1256206124729, 15.1039483662242, 15.3605597168545,      15.3605597168545, 14.8805910833212, 14.8805910833212, 15.4019609662575,      15.4019609662575, 15.428944563277, 14.7472020389823, 15.2985874116244,      15.0291078847704, 15.2330821453909, 14.3801998083441, 14.66420827852,      14.1313829663274, 14.1234549986629, 14.0236082538335), PROX_ELDERLYCARE = c(1.5866097118695,      1.5866097118695, 1.5866097118695, 1.55233595008815, 1.7630974884403,      1.7630974884403, 1.53481387371296, 1.53481387371296, 1.7026350967472,      1.7026350967472, 1.63977306379889, 1.19052284520552, 1.41400995500373,      1.09928331705025, 1.22808745848404, 0.709377020411434, 0.719957479461771,      0.836104821253693, 1.35242241046818, 1.09340394122649), PROX_HAWKER = c(0.674198133913936,      0.674198133913936, 0.674198133913936, 0.672854909342646,      0.874437271649647, 0.874437271649647, 0.395563323563994,      0.395563323563994, 0.985391408166863, 0.985391408166863,      1.09717995764468, 0.606039227085063, 1.16406043263713, 1.15922930524208,      1.40985252978436, 0.928921275219278, 1.17971772396452, 0.73352935155883,      0.458626901673037, 0.594999289424802), PROX_MRT = c(0.930587839854138,      0.930587839854138, 0.930587839854138, 0.927742831261867,      1.13238128237287, 1.13238128237287, 0.650195396152393, 0.650195396152393,      1.24252861976923, 1.24252861976923, 1.35104476777798, 0.807097621625513,      1.40304810962874, 1.36685465541241, 1.62235809597188, 1.02650412956774,      1.12495588646837, 0.735653331318593, 0.250036690549804, 0.469886084443941     ), PROX_PARK = c(0.625625874274951, 0.625625874274951, 0.625625874274951,      0.613453702116727, 0.852232892319188, 0.852232892319188,      0.355836862982211, 0.355836862982211, 0.934356673366442,      0.934356673366442, 1.02148060415503, 0.432698189125414, 0.98341166564854,      0.808345234949979, 0.633472210001671, 0.71485218383349, 0.823954351824118,      0.463826523913091, 0.469588575534173, 0.504422356794811),          PROX_GOOD_PRISCH = c(3.54140201350838, 3.54140201350838,          3.54140201350838, 3.51513652285447, 3.77322944876988,          3.77322944876988, 3.33079371618761, 3.33079371618761,          3.78947597459801, 3.78947597459801, 3.79601078940401,          3.13467644284063, 3.64472604970499, 3.36640767040689,          3.56691345353299, 2.72778429145315, 2.99834463762659,          2.52734391167264, 2.69456588548322, 2.51794344218072),          PROX_MALL = c(0.445444903624544, 0.445444903624544, 0.445444903624544,          0.472438990852491, 0.502295694435402, 0.502295694435402,          0.390496575840073, 0.390496575840073, 0.656741946143406,          0.656741946143406, 0.809004632748584, 0.738705771798207,          0.597111778941966, 0.486526360127578, 0.253259472709144,          0.949257633150117, 0.669111824361406, 0.66282583229379,          0.232476208076891, 0.418819234777705), PROX_CHAS = c(0.387886097439527,          0.387886097439527, 0.387886097439527, 0.353464796953762,          0.563239471741591, 0.563239471741591, 0.448788349522024,          0.448788349522024, 0.478794864158343, 0.478794864158343,          0.352996738297868, 0.19051372613691, 0.0911939042613644,          0.228652490110126, 0.210576528602503, 0.453083161817035,          0.38494516455544, 0.528800676490504, 0.147334233235439,          0.151261605672147), PROX_SUPERMARKET = c(0.411626017932148,          0.411626017932148, 0.411626017932148, 0.429218479578941,          0.187279197917694, 0.187279197917694, 0.447693008221967,          0.447693008221967, 0.1489144838969, 0.1489144838969,          0.252078878715955, 0.326764101800336, 0.408284988301129,          0.234691730121176, 0.21397076195142, 0.513065398645433,          0.384052647553184, 0.528799775767506, 0.147334782275979,          0.151260689076964), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 0L, 0L, 2L, 2L, 0L, 0L, 0L, 3L, 2L, 2L, 3L,          0L, 1L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 1L, 3L, 3L, 3L,          3L, 3L, 4L, 4L), WITHIN_350M_BUS = c(6L, 6L, 6L, 7L,          10L, 10L, 5L, 5L, 9L, 9L, 11L, 9L, 13L, 8L, 12L, 2L,          7L, 6L, 13L, 12L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          2L, 1L, 2L), DNeighbour = c(0, 2.20906987590679, 9.77050304970807,          39.5106235626008, 229.171175715909, 233.840558963063,          283.6823489345, 290.694940063659, 304.76329691205, 312.193445037517,          423.818295244898, 427.630224071165, 549.035808876677,          692.736759706342, 873.114254290619, 917.18264143907,          926.161296716659, 1017.42113360298, 1098.81397489018,          1126.39200464638)), row.names = c("233", "483", "457",      "188", "782", "994", "639", "852", "495", "406", "899", "136",      "934", "314", "428", "3", "686", "695", "212", "51"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99999230747442, 0.999849523601583, 0.997540700715019, 0.918924828758536,      0.915660783152483, 0.877165882063802, 0.871229377017182,      0.85894726513278, 0.852263226447762, 0.736896999821979, 0.732511593266271,      0.581273958476797, 0.386596441843305, 0.15932406540579, 0.113549443613616,      0.104928150270448, 0.0339028700237568, 0.00233942255053306,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1240799495 
R squared (OOB):                  -0.05496292 

$Forests[[234]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(515000, 560000, 620000,      660000, 409500, 418000, 520000, 451000, 488000, 385000, 465000,      538000, 290000, 678000, 446000, 480000, 590000, 650000, 640000,      580000), floor_area_sqm = c(84, 105, 103, 105, 84, 84, 107,      83, 104, 93, 91, 90, 87, 92, 94, 94, 90, 90, 90, 90), storey_order = c(4L,      2L, 4L, 6L, 3L, 3L, 2L, 8L, 1L, 1L, 2L, 5L, 1L, 3L, 2L, 6L,      2L, 6L, 2L, 1L), remaining_lease_mths = c(804, 913, 742,      748, 807, 804, 892, 604, 776, 772, 764, 995, 643, 1103, 723,      725, 996, 1011, 1011, 1006), PROX_CBD = c(3.75781957676323,      3.91005014077452, 3.79744534670369, 3.5952466633456, 4.20973993763024,      4.20973993763024, 4.23142849537126, 3.63056019358172, 4.16405648472164,      4.25035751849909, 4.28329341592686, 4.4759193492502, 4.35364804731157,      3.93031212371417, 4.45295385586978, 4.50933618399607, 2.69989267302812,      2.65695642963531, 2.65695642963531, 2.65695642963531), PROX_ELDERLYCARE = c(0.582389211118023,      0.449207181019876, 0.296175206272889, 0.354500614782039,      0.156291063754703, 0.156291063754703, 0.272010492111063,      0.124703716495981, 0.434539750657667, 0.411587417191489,      0.4193003334471, 0.136621520737764, 0.402111762367986, 0.159701117649001,      0.645271528549996, 0.665866395733666, 0.352346052518342,      0.3590471791371, 0.3590471791371, 0.3590471791371), PROX_HAWKER = c(0.393163811818296,      0.464701711390969, 0.300770398866256, 0.311385334077859,      0.46881842734995, 0.46881842734995, 0.392124905911543, 0.0619655343942362,      0.502732414569621, 0.610932712322496, 0.638679046714181,      0.736355433757935, 0.52502919100195, 0.374782156946409, 0.601904675681234,      0.665007751295857, 0.468835135082758, 0.48810855559281, 0.48810855559281,      0.48810855559281), PROX_MRT = c(0.434583879195091, 0.361698258812245,      0.195276091150508, 0.16267041353008, 0.750034220630686, 0.750034220630686,      0.870814763860364, 0.188513622979597, 0.518003091395578,      0.605174310138743, 0.637237645879563, 0.930431293452388,      0.698417082344063, 0.57487373386568, 0.66128766903618, 0.549595780709265,      0.230131940688868, 0.285614625668497, 0.285614625668497,      0.285614625668497), PROX_PARK = c(0.885911587583127, 0.651892034671684,      0.620239922284967, 0.796125682214674, 0.828179073128827,      0.828179073128827, 0.989030190878471, 0.634729277660292,      0.269719137898212, 0.346786980248178, 0.336599362476296,      0.786607284590569, 0.0959047492621704, 0.43227753152338,      0.473457593144303, 0.353281501558379, 0.41386436288237, 0.426964305014519,      0.426964305014519, 0.426964305014519), PROX_GOOD_PRISCH = c(3.98479480133756,      3.96984616110429, 4.13618512399158, 4.26949140427292, 3.58178441884724,      3.58178441884724, 3.47561641519302, 4.47678155678584, 3.99853475328204,      3.87277035706644, 3.85984302070176, 3.43096694593549, 4.11088283479722,      4.55218800106713, 3.02211493728223, 2.94429219434277, 4.75214496578899,      4.78575462214909, 4.78575462214909, 4.78575462214909), PROX_MALL = c(1.1081035152608,      1.2652175398851, 1.16769889708728, 0.962766222186716, 1.26743973989934,      1.26743973989934, 1.1888213641646, 0.917363569028491, 1.00998414702412,      0.955673327573223, 0.92062293894618, 1.02435160052226, 0.801857467962545,      1.09934779211931, 0.570379319619026, 0.485349818185599, 0.380876218870723,      0.412388661644518, 0.412388661644518, 0.412388661644518),          PROX_CHAS = c(0.345906079563203, 0.108899254787234, 0.121619853002556,          0.0963682910788478, 0.163154212627783, 0.163154212627783,          0.106822211501606, 0.112941217538546, 0.147909276913635,          0.260827480873255, 0.285886541141976, 0.105578702221058,          0.130252709580884, 0.304936065418075, 0.303272176186244,          0.331046161101227, 0.202908600866322, 0.260712311456847,          0.260712311456847, 0.260712311456847), PROX_SUPERMARKET = c(0.128350069204848,          0.115229795891962, 0.191561540751545, 0.269187390315468,          0.118448079318654, 0.118448079318654, 0.139079920157556,          0.0867224629960944, 0.506391752127701, 0.512280309006142,          0.506434284786685, 0.0670716613901785, 0.591301773724787,          0.35411008396507, 0.34627255092781, 0.325943517329761,          0.44532403657541, 0.447218369070658, 0.447218369070658,          0.447218369070658), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 1L, 1L, 1L, 2L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 0L,          0L, 1L, 2L, 2L, 2L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 3L, 3L, 6L, 5L, 6L, 5L, 4L, 2L, 4L, 3L, 1L, 1L,          2L, 2L, 2L, 2L), WITHIN_350M_BUS = c(3L, 5L, 5L, 6L,          7L, 7L, 7L, 4L, 5L, 5L, 5L, 5L, 6L, 5L, 6L, 5L, 4L, 3L,          3L, 3L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L, 3L,          2L, 2L, 3L, 3L, 3L, 3L, 2L, 1L, 1L, 0L, 2L, 2L, 2L, 2L         ), DNeighbour = c(0, 243.077756830116, 305.682757077823,          309.513543280907, 449.086952338843, 453.516128849134,          518.528786976805, 624.915242928785, 635.057539192884,          635.997676430497, 675.03461100749, 715.991308675242,          967.536006384727, 982.75227327578, 1064.20244923516,          1181.68745095458, 1204.55397286528, 1265.33630400956,          1265.71114103173, 1271.03323960331)), row.names = c("234",      "176", "952", "699", "382", "907", "849", "237", "223", "19",      "747", "411", "532", "801", "346", "622", "796", "821", "521",      "246"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.928188981963362,      0.88766552009821, 0.884918852281769, 0.76590839745631, 0.761583160001582,      0.694838744087905, 0.574975192768949, 0.563041715090514,      0.561932213244054, 0.515440861432138, 0.466047753577557,      0.176857265443468, 0.161744481244679, 0.0893849061948534,      0.0183999536867078, 0.0103777037699078, 7.9998168737079e-05,      6.98379703060898e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8638011734 
R squared (OOB):                  0.2029986 

$Forests[[235]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 408000, 425000,      4e+05, 450000, 415000, 422500, 425000, 365000, 468000, 420000,      405000, 440000, 415000, 415000, 362500, 395000, 367000, 390000,      390000), floor_area_sqm = c(84, 105, 104, 107, 106, 108,      104, 104, 84, 106, 106, 106, 104, 103, 108, 103, 103, 104,      109, 109), storey_order = c(2L, 1L, 2L, 1L, 2L, 2L, 3L, 4L,      4L, 5L, 3L, 2L, 3L, 2L, 3L, 3L, 4L, 1L, 1L, 1L), remaining_lease_mths = c(815,      797, 801, 912, 919, 891, 765, 775, 787, 863, 874, 778, 752,      768, 904, 819, 772, 879, 908, 889), PROX_CBD = c(13.8115996810708,      13.8987191813532, 13.9224032790502, 13.6047453762483, 13.6245617307962,      13.8459786715751, 13.4875816574924, 13.5598735525989, 13.5012180894848,      13.629257933267, 13.629257933267, 13.2146489403719, 13.1913836000948,      13.0537205387581, 13.7944980809676, 14.3801998083441, 13.1724132817366,      14.66420827852, 13.9032473641583, 14.7712425946156), PROX_ELDERLYCARE = c(0.244605555667631,      0.166628987045545, 0.160860892679658, 0.271914041498034,      0.120631950903102, 0.429452782693922, 0.428841001075194,      0.555470204987842, 0.126566715598502, 0.207468408301612,      0.207468408301612, 0.392334185262972, 0.779182108791446,      0.569472877275307, 0.91518434198946, 0.709377020411434, 0.906244923447749,      0.719957479461771, 1.01451296282065, 0.729534612359916),          PROX_HAWKER = c(1.71143518366979, 1.60647998640073, 1.57003684649171,          1.50728197565297, 1.48009929412898, 1.71981564227335,          1.41347495302278, 1.44869421276883, 1.32455892398921,          1.4012681206183, 1.4012681206183, 1.1504484389926, 1.05769292681279,          0.963287544217337, 1.66782294138278, 0.928921275219278,          1.03184370064912, 1.17971772396452, 1.79397933605035,          1.70286767909083), PROX_MRT = c(0.198072339225813, 0.337555536848429,          0.375491068655226, 0.222008379422339, 0.357520644011877,          0.2084775132707, 0.229256973107587, 0.172867375742438,          0.54422435083218, 0.681065013996815, 0.681065013996815,          0.530339592860526, 0.577154139562059, 0.551410176707671,          0.658832763416297, 1.02650412956774, 0.712767869041386,          1.12495588646837, 0.800124130005956, 1.0665313702167),          PROX_PARK = c(0.925135888784, 0.83983547285748, 0.819174175884815,          0.882483872449952, 0.731000545087102, 1.1446906726086,          1.00267286051928, 1.16233583500127, 0.593866981909781,          0.403276931712581, 0.403276931712581, 0.763919329225246,          1.12092772213378, 0.974634241933185, 0.645156432286565,          0.71485218383349, 0.94305137750942, 0.823954351824118,          0.561902145555774, 0.405128535389849), PROX_GOOD_PRISCH = c(2.17137072991142,          2.24487256678893, 2.26578798898653, 1.96272742295518,          1.96554365084008, 2.27101821651052, 1.87202126825599,          1.97663004084467, 1.8351788996921, 1.96779323327463,          1.96779323327463, 1.57814209766337, 1.6842887316892,          1.48818847749708, 2.39271928635374, 2.72778429145315,          1.76071721252525, 2.99834463762659, 2.54268815221988,          3.13265552080448), PROX_MALL = c(1.25122768833936, 1.33259876169033,          1.34118728457461, 1.0427530371351, 1.05956757611768,          1.35153556565047, 0.948424723316687, 1.05810160080284,          0.956400108312903, 1.12429495075828, 1.12429495075828,          0.655287065425073, 0.813382909306435, 0.593340478429386,          1.14990641994387, 0.949257633150117, 0.808064657998832,          0.669111824361406, 1.19892197022629, 0.541352629222412         ), PROX_CHAS = c(0.130123043615932, 0.0582471476749484,          0.0806372798138111, 0.15212794302602, 2.17172157220984e-06,          0.345234103044859, 0.231037598077535, 0.180657994610612,          0.0648495538885981, 0.260044927245007, 0.260044927245007,          0.358071114142678, 0.19044114280624, 0.203693673714882,          0.17469359838053, 0.453083161817035, 0.253073540027742,          0.38494516455544, 0.278906060515125, 0.220588325506638         ), PROX_SUPERMARKET = c(0.30366394922488, 0.2065347950197,          0.189550835904173, 0.353624023725788, 0.237807435452358,          0.426625283183798, 0.231037826802092, 0.180658044884504,          0.329742543966106, 0.288903462518554, 0.288903462518554,          0.384538867225359, 0.190441743522314, 0.349948262987797,          0.357404112790227, 0.513065398645433, 0.263318229535236,          0.384052647553184, 0.357092891009527, 0.49532093691776         ), WITHIN_350M_KINDERGARTEN = c(0L, 2L, 3L, 0L, 3L, 1L,          2L, 2L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 0L, 1L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 6L, 5L, 3L,          2L, 3L, 5L, 6L, 6L, 3L, 4L, 2L, 3L, 3L, 3L, 3L, 2L, 3L         ), WITHIN_350M_BUS = c(10L, 9L, 9L, 12L, 10L, 12L, 10L,          11L, 7L, 6L, 6L, 9L, 8L, 8L, 7L, 2L, 6L, 7L, 7L, 8L),          WITHIN_1KM_PRISCH = c(5L, 4L, 3L, 5L, 4L, 5L, 5L, 6L,          4L, 2L, 2L, 6L, 5L, 6L, 4L, 3L, 4L, 3L, 3L, 1L), DNeighbour = c(0,          140.455712287033, 174.893937995748, 220.252229513097,          262.771499086138, 336.029010754252, 351.376383209486,          363.311186780672, 460.048161707605, 544.49022492374,          545.412776374616, 605.026307638971, 757.085317641606,          797.19029990712, 824.854353740483, 876.825512059169,          906.343908221977, 948.998781796404, 955.173111954256,          955.668098148684)), row.names = c("235", "531", "219",      "955", "656", "970", "663", "564", "264", "415", "503", "511",      "229", "541", "542", "3", "225", "686", "113", "527"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.957265500687063, 0.934138570730194, 0.896589057733397,      0.854508748054114, 0.768016643007776, 0.747903663225007,      0.731837256150058, 0.59023046286533, 0.456147509946102, 0.454661598927433,      0.359033310039776, 0.138689794356296, 0.0925128733962182,      0.0650389180372951, 0.0250252430942668, 0.0101124531308859,      0.000193451606828549, 1.0725239904676e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       689586850 
R squared (OOB):                  0.09553328 

$Forests[[236]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 550000, 613000,      588000, 508000, 530000, 565000, 568000, 310000, 370000, 315000,      415000, 415000, 310000, 365000, 395000, 370000, 323000, 416000,      433000), floor_area_sqm = c(108, 92, 92, 92, 92, 92, 92,      92, 84, 104, 84, 93, 92, 105, 92, 92, 92, 104, 92, 92), storey_order = c(1L,      2L, 4L, 2L, 1L, 2L, 5L, 4L, 2L, 4L, 3L, 4L, 5L, 3L, 1L, 2L,      1L, 2L, 4L, 4L), remaining_lease_mths = c(809, 1124, 1119,      1119, 1121, 1108, 1117, 1117, 811, 805, 804, 1141, 1144,      827, 1137, 1146, 1146, 806, 1140, 1130), PROX_CBD = c(15.5495667695359,      15.4589251607201, 15.4589251607201, 15.4444506298565, 15.4653265021947,      15.4274201584828, 15.5121102277751, 15.3987887594526, 15.7493840144196,      15.7683454047388, 15.9050437012323, 15.719551353229, 15.9533618390172,      15.6029325535915, 16.0046521285213, 16.0046521285213, 15.87024444961,      15.5926635355646, 16.055983361932, 16.055983361932), PROX_ELDERLYCARE = c(0.619297318170404,      0.68815946921851, 0.68815946921851, 0.64097589351183, 0.595913887497293,      0.637452860447804, 0.536539272984936, 0.578356799737993,      0.392042381698264, 0.584689505447093, 0.346730428331521,      0.251997184681221, 0.251148223850536, 0.338118814836049,      0.20718686492254, 0.20718686492254, 0.10693627682917, 0.348154483747206,      0.146417557277997, 0.146417557277997), PROX_HAWKER = c(0.5213921544653,      0.469966667540803, 0.469966667540803, 0.396657168515828,      0.380307090885425, 0.365463704587155, 0.396815374523363,      0.294909248784724, 0.617009737136425, 0.791474322012874,      0.79668564149145, 0.543607139892928, 0.802087399746937, 0.432858942767381,      0.855932206484513, 0.855932206484513, 0.694651515851724,      0.438799857473275, 0.897672222950446, 0.897672222950446),          PROX_MRT = c(0.711232187253978, 0.729135125223405, 0.729135125223405,          0.812282865657068, 0.848209897671344, 0.843485398790606,          0.8698145169005, 0.921278705332003, 0.825478596695925,          0.523772975672589, 0.750476153315833, 1.04322565796881,          0.8851452059773, 1.13678031777592, 0.883219311345816,          0.883219311345816, 1.09555222562317, 1.20427337027458,          0.936151237003446, 0.936151237003446), PROX_PARK = c(0.20876400491182,          0.194645215248471, 0.194645215248471, 0.279663832574521,          0.321827820326955, 0.308677700833154, 0.357009242210065,          0.283836897691409, 0.423881452963658, 0.270342199592644,          0.475878847958935, 0.60075194434184, 0.589052524814441,          0.578149656320062, 0.619767633008914, 0.619767633008914,          0.707790886000148, 0.608584573014238, 0.683762717294504,          0.683762717294504), PROX_GOOD_PRISCH = c(6.09891773314498,          6.00758296280353, 6.00758296280353, 6.01089245018733,          6.04109347904609, 6.00000717285666, 6.0946998605156,          5.98797030068414, 6.32317863359129, 6.2828979894293,          6.45664561130608, 6.34176102939636, 6.52939634907869,          6.24898658848638, 6.57618460349959, 6.57618460349959,          6.49806658702102, 6.25532900137267, 6.63421015362065,          6.63421015362065), PROX_MALL = c(0.541358966367059, 0.632880647427991,          0.632880647427991, 0.640411632029909, 0.62067023459119,          0.657665812567692, 0.577683661914992, 0.692287086677849,          0.340817581482914, 0.400271919676516, 0.18299798168314,          0.460595397283409, 0.161178852361569, 0.60644342729779,          0.110811660449771, 0.110811660449771, 0.388975340293238,          0.657431321444681, 0.118546137622893, 0.118546137622893         ), PROX_CHAS = c(0.252209440491103, 0.206736748098593,          0.206736748098593, 0.128062594375949, 0.114224376246159,          0.0964991818226865, 0.14804241676277, 0.0335692412129841,          0.347229964463676, 0.406778788965278, 0.190026772642962,          0.269388612247007, 0.165813590617473, 0.336408570757183,          0.114687044901222, 0.114687044901222, 0.140210421841136,          0.337342861051532, 0.110329053122027, 0.110329053122027         ), PROX_SUPERMARKET = c(0.243797536441002, 0.327859325274294,          0.327859325274294, 0.312290330939399, 0.284849629955282,          0.324468805261885, 0.237787830949247, 0.352133387221186,          2.98731019421495e-07, 0.30290594542381, 0.179336240856332,          0.219989756424723, 0.162291812321236, 0.338214025323699,          0.112847248683738, 0.112847248683738, 0.287679129281494,          0.403551045123396, 0.123371553336512, 0.123371553336512         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          1L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 2L, 2L, 1L, 1L, 2L,          2L, 1L, 5L, 5L, 4L, 5L, 3L, 4L, 3L, 3L, 4L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(6L, 7L, 7L, 7L, 7L, 7L, 6L, 6L,          7L, 8L, 8L, 5L, 8L, 6L, 7L, 7L, 8L, 6L, 7L, 7L), WITHIN_1KM_PRISCH = c(5L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 7L, 6L, 3L, 5L, 4L, 5L,          5L, 4L, 2L, 5L, 5L), DNeighbour = c(0, 91.8922628864345,          96.4703141903076, 133.475108056051, 150.64227559147,          156.080541197112, 160.09677879299, 235.442763622553,          244.224282684653, 262.10337461983, 358.441668180761,          396.188313883371, 438.494744092277, 447.406678175393,          475.674120848339, 477.267030442149, 509.485593146617,          513.915170294278, 538.738275373212, 539.568521978877)), row.names = c("236",      "963", "455", "574", "962", "712", "605", "714", "956", "262",      "59", "698", "124", "924", "594", "408", "582", "458", "538",      "741"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.942832351957384,      0.937088987209856, 0.881357099990202, 0.850181364292887,      0.839648471505872, 0.83167402055077, 0.655444678520278, 0.632227135324044,      0.583745807864465, 0.312134515567215, 0.212382147676862,      0.115298716430577, 0.0976176545334913, 0.0496453856294033,      0.047349119968378, 0.0117503173122255, 0.00861702678830873,      9.45610926746809e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5225727731 
R squared (OOB):                  0.5005365 

$Forests[[237]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(451000, 660000, 620000,      678000, 560000, 488000, 515000, 385000, 465000, 290000, 409500,      418000, 545000, 520000, 538000, 708000, 705000, 580000, 590000,      580000), floor_area_sqm = c(83, 105, 103, 92, 105, 104, 84,      93, 91, 87, 84, 84, 101, 107, 90, 90, 90, 90, 90, 108), storey_order = c(8L,      6L, 4L, 3L, 2L, 1L, 4L, 1L, 2L, 1L, 3L, 3L, 1L, 2L, 5L, 5L,      7L, 5L, 2L, 8L), remaining_lease_mths = c(604, 748, 742,      1103, 913, 776, 804, 772, 764, 643, 807, 804, 938, 892, 995,      1031, 1041, 1035, 996, 760), PROX_CBD = c(3.63056019358172,      3.5952466633456, 3.79744534670369, 3.93031212371417, 3.91005014077452,      4.16405648472164, 3.75781957676323, 4.25035751849909, 4.28329341592686,      4.35364804731157, 4.20973993763024, 4.20973993763024, 3.59494173601466,      4.23142849537126, 4.4759193492502, 3.56091441303422, 3.66612298934168,      3.73787601157873, 2.69989267302812, 2.26543941452074), PROX_ELDERLYCARE = c(0.124703716495981,      0.354500614782039, 0.296175206272889, 0.159701117649001,      0.449207181019876, 0.434539750657667, 0.582389211118023,      0.411587417191489, 0.4193003334471, 0.402111762367986, 0.156291063754703,      0.156291063754703, 0.692364880740494, 0.272010492111063,      0.136621520737764, 0.885388735780595, 0.851600940224316,      0.836612932336762, 0.352346052518342, 0.404007374923036),          PROX_HAWKER = c(0.0619655343942362, 0.311385334077859,          0.300770398866256, 0.374782156946409, 0.464701711390969,          0.502732414569621, 0.393163811818296, 0.610932712322496,          0.638679046714181, 0.52502919100195, 0.46881842734995,          0.46881842734995, 0.142789347249218, 0.392124905911543,          0.736355433757935, 0.210501859943959, 0.157376553669701,          0.15676751515481, 0.468835135082758, 0.210544550468706         ), PROX_MRT = c(0.188513622979597, 0.16267041353008,          0.195276091150508, 0.57487373386568, 0.361698258812245,          0.518003091395578, 0.434583879195091, 0.605174310138743,          0.637237645879563, 0.698417082344063, 0.750034220630686,          0.750034220630686, 0.346622733589529, 0.870814763860364,          0.930431293452388, 0.1853881461208, 0.281331556481731,          0.349678715281184, 0.230131940688868, 0.306886682672286         ), PROX_PARK = c(0.634729277660292, 0.796125682214674,          0.620239922284967, 0.43227753152338, 0.651892034671684,          0.269719137898212, 0.885911587583127, 0.346786980248178,          0.336599362476296, 0.0959047492621704, 0.828179073128827,          0.828179073128827, 1.03638785093261, 0.989030190878471,          0.786607284590569, 0.969171323132551, 1.07330463343821,          1.14436990313984, 0.41386436288237, 0.0441643212802781         ), PROX_GOOD_PRISCH = c(4.47678155678584, 4.26949140427292,          4.13618512399158, 4.55218800106713, 3.96984616110429,          3.99853475328204, 3.98479480133756, 3.87277035706644,          3.85984302070176, 4.11088283479722, 3.58178441884724,          3.58178441884724, 4.68517728936996, 3.47561641519302,          3.43096694593549, 4.51522724145722, 4.46068770698473,          4.42346384619917, 4.75214496578899, 5.27420554603454),          PROX_MALL = c(0.917363569028491, 0.962766222186716, 1.16769889708728,          1.09934779211931, 1.2652175398851, 1.00998414702412,          1.1081035152608, 0.955673327573223, 0.92062293894618,          0.801857467962545, 1.26743973989934, 1.26743973989934,          0.814872047472938, 1.1888213641646, 1.02435160052226,          0.87678025015548, 0.971442928620489, 1.03774509228272,          0.380876218870723, 0.216535056802411), PROX_CHAS = c(0.112941217538546,          0.0963682910788478, 0.121619853002556, 0.304936065418075,          0.108899254787234, 0.147909276913635, 0.345906079563203,          0.260827480873255, 0.285886541141976, 0.130252709580884,          0.163154212627783, 0.163154212627783, 0.0573592222158038,          0.106822211501606, 0.105578702221058, 0.0998361253719761,          0.108213750221125, 0.0809467071188201, 0.202908600866322,          0.146883739415237), PROX_SUPERMARKET = c(0.0867224629960944,          0.269187390315468, 0.191561540751545, 0.35411008396507,          0.115229795891962, 0.506391752127701, 0.128350069204848,          0.512280309006142, 0.506434284786685, 0.591301773724787,          0.118448079318654, 0.118448079318654, 0.0573596645426592,          0.139079920157556, 0.0670716613901785, 0.103744685928207,          0.131005301990959, 0.184584314799668, 0.44532403657541,          0.186677322210676), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 0L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(5L, 4L,          4L, 3L, 4L, 6L, 4L, 5L, 4L, 4L, 3L, 3L, 3L, 6L, 2L, 3L,          3L, 3L, 2L, 1L), WITHIN_350M_BUS = c(4L, 6L, 5L, 5L,          5L, 5L, 3L, 5L, 5L, 6L, 7L, 7L, 4L, 7L, 5L, 9L, 7L, 7L,          4L, 3L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L, 2L, 3L,          2L, 3L, 3L, 2L, 3L, 3L, 0L, 2L, 3L, 0L, 0L, 0L, 2L, 2L         ), DNeighbour = c(0, 343.918637339284, 359.157587186348,          440.003354843065, 514.241387888329, 551.063424903798,          624.915242928785, 668.230914359527, 697.641771739948,          727.680145619158, 899.969543831438, 900.655279276181,          936.707198873427, 1040.41261421347, 1046.24732635094,          1132.98891805116, 1156.07158814365, 1173.78498948365,          1427.16283079987, 1476.11613796533)), row.names = c("237",      "699", "952", "801", "176", "223", "234", "19", "747", "532",      "382", "907", "997", "849", "411", "881", "903", "823", "796",      "398"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.894379101524089,      0.8851027606193, 0.830189294306742, 0.77199969028994, 0.740687964279062,      0.673669845662831, 0.632131404841365, 0.603154914286989,      0.573020433324138, 0.394737220958111, 0.39402547188758, 0.356783872442539,      0.253223393711709, 0.247631047491421, 0.168815128129691,      0.149476347723118, 0.135189516381106, 0.00425460745829974,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7746842364 
R squared (OOB):                  0.378131 

$Forests[[238]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 4e+05, 342000,      415000, 335000, 345000, 420000, 428000, 358888, 420000, 316000,      304000, 390000, 340000, 370000, 446000, 365000, 380000, 365000,      360000), floor_area_sqm = c(95, 97, 94, 100, 90, 92, 90,      98, 91, 99, 104, 104, 104, 104, 104, 107, 107, 102, 105,      103), storey_order = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 3L, 3L,      3L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 2L, 1L), remaining_lease_mths = c(735,      734, 747, 944, 731, 742, 925, 730, 763, 929, 777, 776, 763,      772, 763, 783, 766, 938, 771, 777), PROX_CBD = c(13.3652677077184,      13.4040436118709, 13.7770670669378, 13.1525533734461, 13.8901285505698,      13.8901285505698, 12.960867808991, 14.0949321583848, 13.6826822978472,      13.2222340992065, 13.8730731524118, 13.8730731524118, 13.1145091682395,      13.1145091682395, 13.075732494377, 13.1163383572019, 13.578535689825,      12.4172252614445, 14.8222691165004, 13.7231688188033), PROX_ELDERLYCARE = c(0.876024529291782,      0.954835536666776, 0.919307603677702, 0.640770029240432,      0.540311266279695, 0.540311266279695, 0.579007844644764,      1.07365166923746, 0.000158780971194199, 0.385934705647939,      0.192118066579221, 0.192118066579221, 0.233566729538939,      0.233566729538939, 0.206309775801723, 0.258125844069092,      0.535215785060316, 0.466477120293287, 0.151522520392741,      0.681177733621966), PROX_HAWKER = c(0.775887609068758, 0.780321580506598,      0.478671478091809, 0.959649545299011, 0.213123049695643,      0.213123049695643, 1.16344345150942, 0.516176882783883, 0.699744847940348,      1.08380419022874, 0.635045114374877, 0.635045114374877, 1.24018164124527,      1.24018164124527, 1.2806114078583, 1.23349193679857, 0.775756145922257,      1.89270186421095, 0.189112683951821, 0.601426993813282),          PROX_MRT = c(0.585785046275015, 0.515309591544804, 0.771349314593772,          0.944408516927639, 0.793013171832836, 0.793013171832836,          0.899387073359532, 0.499812381699912, 0.751023886560838,          0.503688459146237, 0.865482366580506, 0.865482366580506,          0.402767024758649, 0.402767024758649, 0.218393806785847,          0.166998983475289, 0.357978123578611, 0.847625669994717,          0.506610369321483, 0.498221170198522), PROX_PARK = c(1.30724345285799,          1.22140134317452, 0.941140572803456, 1.65277848527316,          1.23128896715218, 1.23128896715218, 1.44660566239193,          0.62523741493865, 1.77145949687945, 1.61082819122054,          1.73324375775577, 1.73324375775577, 1.4917670023494,          1.4917670023494, 1.31516124688894, 1.28385310080255,          1.33984402369384, 0.790049777369869, 1.20591145519053,          1.26781451063295), PROX_GOOD_PRISCH = c(2.95461231779958,          2.95770979509606, 3.3146343023011, 2.95137840528657,          3.56420611596829, 3.56420611596829, 2.82458087567675,          3.57828936266804, 3.58938982364218, 3.2388029474634,          3.76914808697313, 3.76914808697313, 3.15473759747012,          3.15473759747012, 3.06740437701091, 3.10133739012884,          3.55013641033528, 2.44639044951476, 4.44405903659268,          3.673854441535), PROX_MALL = c(0.473263954532778, 0.412160376682232,          0.672803550263317, 0.703422933264244, 1.05377974643614,          1.05377974643614, 0.695129776671669, 0.812049880186,          0.770100764029299, 0.587950861513872, 0.861712986146148,          0.861712986146148, 0.504156272689578, 0.504156272689578,          0.332903613799786, 0.281310431650798, 0.305514521023982,          0.95273084922996, 1.74752862756084, 0.406890039239853         ), PROX_CHAS = c(0.179342279988699, 0.240863562772424,          0.0886717393158711, 0.1365287941905, 0.0812638133573676,          0.0812638133573676, 0.341366062526918, 0.135156069731972,          0.110149755252424, 0.151225190585885, 0.0967538959757692,          0.0967538959757692, 0.11048408202451, 0.11048408202451,          0.122328851042638, 0.155371621529032, 0.282171570268124,          0.132703338642494, 0.191193294854487, 0.176857487498571         ), PROX_SUPERMARKET = c(0.487840963146543, 0.422907964790702,          0.334979160094168, 0.688592108834651, 0.082811926566736,          0.082811926566736, 0.668273194253219, 0.352618767904154,          0.11210687568128, 0.459946280432931, 0.094684564379848,          0.094684564379848, 0.362446168440829, 0.362446168440829,          0.193246634773484, 0.141466460051892, 0.281417393052806,          0.453312253927337, 0.188017328828043, 0.270532795629183         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 1L, 1L,          0L, 0L, 2L, 0L, 2L, 2L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 3L, 2L, 4L, 4L,          1L, 1L, 3L, 5L, 3L, 3L, 6L, 6L, 4L, 4L, 4L, 3L, 2L, 4L         ), WITHIN_350M_BUS = c(6L, 6L, 10L, 6L, 4L, 4L, 2L, 9L,          9L, 8L, 8L, 8L, 7L, 7L, 10L, 9L, 10L, 9L, 6L, 8L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 2L, 4L, 4L, 3L, 2L, 2L, 4L, 2L, 2L, 3L, 3L, 3L,          3L, 4L, 2L, 2L, 3L), DNeighbour = c(0, 103.630974069605,          421.121700520045, 496.684897244524, 623.138685176646,          624.670051173353, 661.873749734713, 771.067787228322,          875.538095955521, 905.752180313799, 991.817471270014,          992.141982868681, 1034.89709863283, 1038.66710770197,          1269.22667299387, 1293.56124263524, 1348.58080468603,          1459.78014305981, 1495.60700043437, 1532.93648068417)), row.names = c("238",      "757", "337", "496", "90", "214", "831", "25", "1000", "350",      "230", "36", "164", "844", "929", "105", "856", "296", "64",      "960"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.990880578169507,      0.854758107229887, 0.801057762236498, 0.696820496068547,      0.695463565662395, 0.661905787143102, 0.557994831064167,      0.453988403389701, 0.423649244772467, 0.338008066329247,      0.337689568935966, 0.296185968339792, 0.292576074569574,      0.0988878106343145, 0.0829008699112442, 0.0511044650280026,      0.00868037454286322, 0.00231459427313438, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1164471454 
R squared (OOB):                  0.222566 

$Forests[[239]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 4e+05, 374000,      392000, 425000, 340000, 505000, 421000, 5e+05, 540000, 410000,      408000, 490000, 505000, 380000, 370000, 510000, 328000, 475000,      7e+05), floor_area_sqm = c(105, 104, 103, 103, 108, 104,      92, 93, 92, 90, 93, 100, 92, 90, 92, 98, 93, 84, 90, 92),          storey_order = c(1L, 2L, 2L, 2L, 3L, 1L, 4L, 4L, 3L,          3L, 4L, 4L, 3L, 6L, 1L, 2L, 3L, 4L, 5L, 4L), remaining_lease_mths = c(837,          822, 862, 833, 820, 869, 1051, 789, 1049, 1067, 788,          921, 1038, 1033, 1037, 912, 1076, 806, 1031, 1126), PROX_CBD = c(10.9742090734032,          10.8294299245227, 11.0478583208432, 10.8307618753175,          10.7884209511687, 10.9782438935663, 11.4388659085475,          10.8005053894847, 11.4975151935682, 11.5237533038112,          10.7402382849343, 10.7481925626994, 11.6213283462416,          11.6571985599938, 11.6419253241709, 10.6430674352334,          11.734228152501, 10.2439629519707, 11.780035597066, 11.1573644039326         ), PROX_ELDERLYCARE = c(0.852070403211021, 0.925828280583076,          0.694826263841934, 1.12487398858542, 1.11323464510705,          0.748731634955849, 0.529438756707198, 1.11154389564577,          0.485429735975203, 0.374021376468387, 1.05196585123006,          1.00181077128688, 0.621923465733728, 0.400746835300904,          0.626216066088841, 1.10983952182968, 0.217445500321488,          0.904720646157319, 0.389019901488026, 1.34447435494956         ), PROX_HAWKER = c(0.487483409830997, 0.558859907936318,          0.33156405975617, 0.775872885593274, 0.812377793689625,          0.421987441153261, 0.319632581294072, 0.918995125488027,          0.320302217757218, 0.235307086042243, 1.02652926791064,          0.591883114810231, 0.537052085835962, 0.38372613736418,          0.553081930127745, 0.494234864614673, 0.366555491930585,          0.616195579705155, 0.475091880549249, 1.10011050744246         ), PROX_MRT = c(0.534522073584246, 0.633065114071651,          0.413251174688675, 0.568072215940967, 0.526269526678983,          0.516121726350597, 0.264110896255266, 0.566932323762424,          0.24936700359253, 0.148196296616071, 0.546812793492647,          0.80807654444201, 0.182944945438028, 0.187661086924798,          0.168432978085695, 0.91242151857363, 0.276453864170284,          0.52596302633555, 0.149757666469573, 0.876646963171676         ), PROX_PARK = c(0.623434891123849, 0.822296725898933,          0.855372307789476, 0.443949121553361, 0.467051942358664,          1.01560706627581, 0.653351036954048, 0.370936327890873,          0.698336840868775, 0.808531626238996, 0.401614025373747,          1.13130385684233, 0.643411448820926, 0.822874314333037,          0.654970873229416, 1.09293299728603, 1.00928973198994,          0.626908579085899, 0.915827670442916, 0.189026691537682         ), PROX_GOOD_PRISCH = c(2.09882394138718, 1.88031331185984,          1.96973866183315, 2.22887532154294, 2.2131785217075,          1.81228643023267, 2.45055199705462, 2.34700895725274,          2.48345794754568, 2.43173748992112, 2.39141973384207,          1.51127824976447, 2.69528593883292, 2.58492752090912,          2.71543842399088, 1.4206810513637, 2.54247396470066,          1.44855804010835, 2.67648686403773, 2.83177349547833),          PROX_MALL = c(0.606835933426222, 0.43093778326398, 0.400154220571097,          0.384053234723219, 0.340751907865098, 0.231229629812008,          0.840491697823826, 0.363372953846058, 0.805279144871904,          0.840908486660855, 0.344610557976029, 0.114469773448463,          0.597386337892971, 0.718523422751835, 0.576398809288588,          0.220538248250442, 0.781937846313192, 0.644656189163291,          0.657761426948524, 0.831480717149744), PROX_CHAS = c(0.20965056306942,          0.0390568763467083, 0.193330180912365, 0.2644107607892,          0.260152478655286, 0.23122963873357, 0.210772889992189,          0.111289200730163, 0.18789773503711, 0.0822817354855642,          0.106045676778667, 0.0793642323922721, 0.130352204164602,          0.162236141473446, 0.118628580179885, 0.0703959269798554,          0.203102352137365, 0.155315138624813, 0.165734916528407,          0.0819321575559949), PROX_SUPERMARKET = c(0.477398814511427,          0.430936681100737, 0.392366955335671, 0.407226974513028,          0.363982132031921, 0.231228589734032, 0.189609627596398,          0.386863986973968, 0.186124684843571, 0.113409172087645,          0.357992185767737, 0.114469867006585, 0.0679201472407272,          0.248678179468178, 0.0879874709963817, 0.220538485726081,          0.206717744357565, 0.18505229065347, 0.328761363845442,          0.408274605358357), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 1L, 2L, 1L, 2L, 0L, 2L, 0L, 0L, 2L, 1L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(2L, 4L,          2L, 4L, 3L, 5L, 4L, 3L, 4L, 4L, 3L, 4L, 6L, 8L, 6L, 2L,          8L, 1L, 9L, 3L), WITHIN_350M_BUS = c(8L, 11L, 7L, 11L,          8L, 9L, 7L, 9L, 8L, 5L, 6L, 10L, 8L, 9L, 8L, 13L, 10L,          10L, 8L, 6L), WITHIN_1KM_PRISCH = c(6L, 6L, 6L, 6L, 6L,          5L, 5L, 5L, 4L, 4L, 5L, 6L, 6L, 5L, 5L, 6L, 5L, 6L, 6L,          3L), DNeighbour = c(0, 222.626234543688, 252.241969552656,          309.741558128575, 337.823576478143, 400.348901791129,          465.838390987326, 476.46439164193, 517.220097676618,          555.516250093516, 575.103935394095, 632.308556139747,          676.889370318382, 683.15634681228, 697.21608542828, 701.422466472912,          776.818084392299, 790.179589185218, 800.741200375447,          806.028577364961)), row.names = c("239", "364", "694",      "743", "696", "317", "271", "56", "553", "652", "6", "866",      "89", "977", "421", "627", "409", "668", "263", "425"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.853245295694228, 0.813722936166659, 0.726463065354695,      0.679532332590632, 0.567454681860643, 0.443532225885724,      0.423241501849405, 0.346019884822073, 0.275626095700441,      0.240995812656943, 0.147917437272364, 0.0868857820545534,      0.079323704381235, 0.0633891742751906, 0.0589113244124115,      0.00506469973546519, 0.00151628340105214, 0.000170996059672045,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4951181460 
R squared (OOB):                  0.3650727 

$Forests[[240]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(545000, 452000, 403000,      465000, 470000, 485000, 450000, 437000, 450000, 435000, 460000,      455000, 465000, 450000, 475000, 473800, 425000, 455000, 460000,      490888), floor_area_sqm = c(93, 95, 90, 95, 93, 95, 95, 94,      90, 94, 92, 92, 90, 94, 92, 90, 90, 93, 92, 93), storey_order = c(3L,      3L, 3L, 4L, 5L, 6L, 3L, 3L, 2L, 2L, 3L, 5L, 5L, 4L, 5L, 6L,      2L, 4L, 3L, 5L), remaining_lease_mths = c(1134, 1121, 1053,      1110, 1125, 1113, 1126, 1120, 1134, 1113, 1097, 1108, 1132,      1123, 1098, 1140, 1139, 1096, 1107, 1141), PROX_CBD = c(14.4432157047801,      14.2856092918761, 14.2313196249897, 14.3101587663686, 14.2374266118925,      14.2445424628862, 14.1366846915735, 14.0691382395842, 14.6796515041342,      14.0214886887106, 14.2694643570804, 14.2694643570804, 14.6796515041342,      14.0429369190019, 14.3437499696049, 14.4131933766039, 14.4131933766039,      14.3469943525049, 14.2518409016409, 14.4799585140632), PROX_ELDERLYCARE = c(1.44181352445962,      1.29536834443332, 1.23431696680562, 1.29024298571696, 1.2819446304668,      1.24643506877499, 1.17371591683522, 1.08280856328681, 1.45102259724198,      1.04333655871926, 1.14423906696184, 1.14423906696184, 1.45102259724198,      1.1015647640471, 1.14464302293932, 1.43140028556732, 1.43140028556732,      1.07571195137499, 0.985840321219444, 1.06862824267944), PROX_HAWKER = c(1.1926703176924,      1.14967766552968, 1.20453145676494, 0.961388959141492, 1.02089221118434,      0.968852406622053, 1.09084844555913, 1.21079813450924, 0.836784965651702,      1.2014358291776, 0.826638245470088, 0.826638245470088, 0.836784965651702,      1.07710025413616, 0.74882220835846, 1.70733975651849, 1.70733975651849,      0.654543769257927, 0.656651462258042, 0.462243392197612),          PROX_MRT = c(0.142722405117506, 0.0748886383392391, 0.14509881944895,          0.148967878322013, 0.148741201515391, 0.184117552261459,          0.218319465176875, 0.281224364060027, 0.391052893274669,          0.325652198483679, 0.30438768875815, 0.30438768875815,          0.391052893274669, 0.324573358240557, 0.217663394995295,          0.160895515953214, 0.160895515953214, 0.131478587775223,          0.189142279194464, 0.082651796212049), PROX_PARK = c(0.164631246691225,          0.297003339879563, 0.30799989212087, 0.444639968372477,          0.440474428767772, 0.481320095248247, 0.474063272255088,          0.468913262301943, 0.566439778554251, 0.524931496780237,          0.599699049952129, 0.599699049952129, 0.566439778554251,          0.58019258504408, 0.636899975343007, 0.362779794623634,          0.362779794623634, 0.731552922713316, 0.785709089572823,          0.682350458092963), PROX_GOOD_PRISCH = c(5.44062149940817,          5.27158847877433, 5.24106386657147, 5.21803047984022,          5.16870486361587, 5.1542412945362, 5.09375212835948,          5.07622831499557, 5.51577006817018, 5.02043421457898,          5.12184985907385, 5.12184985907385, 5.51577006817018,          4.9857651679507, 5.1680916684458, 5.6363766911051, 5.6363766911051,          5.13548460888622, 5.03443000866885, 5.20136656590841),          PROX_MALL = c(0.0864828813466827, 0.136646142991964,          0.200492724858517, 0.199960318099191, 0.22058685557285,          0.248497232357685, 0.295276560881227, 0.352184781664103,          0.38618207223371, 0.399157770965225, 0.351657486288216,          0.351657486288216, 0.38618207223371, 0.401409437181884,          0.38589862433106, 0.596976127865625, 0.596976127865625,          0.480981762762808, 0.535261743386166, 0.64848155368644         ), PROX_CHAS = c(0.0864829242311455, 0.136646133179357,          0.200492722653611, 0.199960275799137, 0.177995101264401,          0.185564313785613, 0.0995517477546361, 0.167321001424632,          0.367772140885018, 0.142774662207743, 0.120456720485379,          0.120456720485379, 0.367772140885018, 0.0207330025336023,          0.0401042229543167, 0.168005379342294, 0.168005379342294,          0.0578525184286013, 0.121511881264649, 0.149921511006425         ), PROX_SUPERMARKET = c(0.0916346746399726, 0.146294584623949,          0.210915135620544, 0.199173279096103, 0.177995229543633,          0.185564776027004, 0.0995512052866983, 0.167319845962294,          0.0442147517112349, 0.142773459146917, 0.244158473149448,          0.244158473149448, 0.0442147517112349, 0.0207321820187816,          0.165776473264822, 0.168006305985119, 0.168006305985119,          0.0704323341151683, 0.121511691834874, 0.149922203205158         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 0L, 1L,          0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 6L, 6L, 8L, 8L, 9L,          8L, 8L, 4L, 6L, 10L, 10L, 4L, 6L, 8L, 4L, 4L, 7L, 10L,          6L), WITHIN_350M_BUS = c(5L, 8L, 6L, 6L, 6L, 7L, 8L,          9L, 4L, 9L, 9L, 9L, 4L, 9L, 8L, 6L, 6L, 8L, 9L, 6L),          WITHIN_1KM_PRISCH = c(5L, 7L, 6L, 7L, 7L, 7L, 7L, 7L,          4L, 7L, 6L, 6L, 4L, 7L, 5L, 4L, 4L, 4L, 6L, 4L), DNeighbour = c(0,          167.868941231883, 212.759053739102, 277.875960058406,          288.81949841189, 324.354048751282, 344.622019784082,          384.674060357155, 432.567579547134, 432.826443133284,          433.796409276353, 435.017659313683, 438.978502714258,          455.963141561172, 467.734918787029, 513.093240791323,          513.986025616624, 570.261495999381, 622.104476926219,          727.894859695505)), row.names = c("240", "32", "283",      "142", "537", "349", "76", "57", "405", "878", "434", "470",      "996", "754", "70", "258", "403", "488", "73", "979"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.896455343292543, 0.836428069984624, 0.729768241785053,      0.709906967005431, 0.642299054631728, 0.601935214709897,      0.519429288726715, 0.418402911544021, 0.417856105972333,      0.415807494986077, 0.413228827277966, 0.40487140238648, 0.369185258156573,      0.344666986378639, 0.2531253988908, 0.251386942872281, 0.149168005880693,      0.0726582406006721, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1060676240 
R squared (OOB):                  -0.3076614 

$Forests[[241]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 431000, 395000,      426000, 395000, 410000, 420000, 428000, 325000, 3e+05, 360000,      333000, 330000, 355000, 295000, 285000, 308000, 292000, 330000,      315000), floor_area_sqm = c(92, 92, 92, 92, 90, 92, 90, 90,      84, 84, 99, 103, 103, 103, 106, 92, 84, 104, 103, 84), storey_order = c(6L,      9L, 4L, 6L, 5L, 2L, 8L, 8L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 1L,      1L, 2L, 2L, 3L), remaining_lease_mths = c(1006, 1010, 1010,      1012, 1010, 1004, 1011, 1008, 783, 797, 796, 788, 800, 793,      825, 697, 795, 828, 937, 788), PROX_CBD = c(14.0603534116893,      14.0603534116893, 14.0603534116893, 14.0324943086614, 13.990153115514,      14.000256381606, 13.8798013735997, 13.8412030491349, 14.1279251783367,      14.3169519114025, 13.8977069202737, 14.3532733654858, 13.46147060752,      13.46147060752, 14.7220636963442, 14.6519123293037, 13.3304860768802,      15.1374510187917, 14.5165027597446, 13.0463978034086), PROX_ELDERLYCARE = c(1.50084223071099,      1.50084223071099, 1.50084223071099, 1.51384309451853, 1.56992496550613,      1.50178268661881, 1.77270985488013, 1.74703283433278, 1.66641228888996,      1.55261218152075, 1.56746404607568, 1.6760601574403, 1.01995663096129,      1.01995663096129, 0.327768156942021, 0.254409923718011, 0.85382998667073,      0.426629771798313, 0.389463724969334, 0.612412426395362),          PROX_HAWKER = c(1.69193386873811, 1.69193386873811, 1.69193386873811,          1.73133481154049, 1.69002608854433, 1.77005964815816,          1.47024255459416, 1.43519165592487, 1.24304803992561,          1.19367588944735, 1.04237506554324, 0.99569743308136,          1.03983060555389, 1.03983060555389, 1.39864823048803,          1.21550185558774, 1.09459947163448, 1.49196951764411,          1.0617726338971, 1.36023111372333), PROX_MRT = c(0.836549486170002,          0.836549486170002, 0.836549486170002, 0.85175230125279,          0.789673249073619, 0.865600228728207, 0.523014705157119,          0.462396576385451, 0.59155533687368, 0.753004841751307,          0.300373388684648, 0.756418829435307, 0.367668143276235,          0.367668143276235, 0.0523025726452692, 0.218405848235923,          0.525688124362732, 0.164193456307044, 0.0901878473788138,          0.622051877914657), PROX_PARK = c(0.66093693759156, 0.66093693759156,          0.66093693759156, 0.65310707550057, 0.716145735764812,          0.652876507033438, 0.782127938386311, 0.752068597068081,          1.00515750023779, 1.00962818739137, 0.782220037546154,          1.20426051281307, 0.582693033366388, 0.582693033366388,          0.432331111477529, 0.325486875199719, 0.620743454357064,          0.786093050092807, 0.278686390612803, 0.572775970192077         ), PROX_GOOD_PRISCH = c(4.09775909461572, 4.09775909461572,          4.09775909461572, 4.07805978762992, 4.0269654833207,          4.05408625233137, 3.87304276717541, 3.82728738248792,          4.09179045416031, 4.27446656255715, 3.83525569342672,          4.29145341198416, 3.38131302543864, 3.38131302543864,          4.99661753747661, 4.99149337529414, 3.24954726475941,          5.37568176340172, 4.93093863547281, 2.96540091825049),          PROX_MALL = c(1.38265334141638, 1.38265334141638, 1.38265334141638,          1.34360210764349, 1.32125061115982, 1.30130189944441,          1.33861894221302, 1.33339622609195, 1.48884664162065,          1.50622914679999, 1.14150204308926, 1.45738633765159,          0.644549177151603, 0.644549177151603, 0.343882807046916,          0.377416550632833, 0.513372166694422, 0.249545786638779,          0.38830118917563, 0.587476612974174), PROX_CHAS = c(0.266609427013402,          0.266609427013402, 0.266609427013402, 0.288579392766018,          0.231188025602735, 0.313291309929199, 0.058882652003164,          0.116038559859119, 0.283027750434604, 0.149961616171305,          0.162936326565904, 0.0428610630237518, 0.348399033159575,          0.348399033159575, 0.141205029857343, 0.0736014920224838,          0.472814153962233, 0.193150290660334, 0.0918929757518676,          0.40513819943783), PROX_SUPERMARKET = c(0.266609427014493,          0.266609427014493, 0.266609427014493, 0.288579392767071,          0.231188025603748, 0.313291309930196, 0.0588826520022197,          0.116038559858059, 0.283027750434408, 0.277976240278344,          0.162936951836525, 0.400567683079086, 0.356146193343619,          0.356146193343619, 0.141204847242777, 0.128878263549785,          0.510727353781082, 0.200567401454574, 0.354026220875794,          0.599997973636583), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 0L, 1L, 1L, 2L, 3L, 0L, 2L, 1L, 1L, 0L,          1L, 1L, 0L, 1L, 2L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 1L, 1L, 1L, 2L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L,          4L, 5L, 5L, 2L), WITHIN_350M_BUS = c(4L, 4L, 4L, 4L,          4L, 3L, 5L, 5L, 10L, 9L, 5L, 10L, 6L, 6L, 8L, 9L, 5L,          11L, 7L, 7L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L,          2L, 2L, 3L, 2L, 2L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 2L, 2L,          4L), DNeighbour = c(0, 4.99605916073533, 6.37323040949942,          44.4870155788384, 64.8551193686324, 97.1210548698097,          312.044129453597, 375.001026748181, 445.79421326889,          553.380274964427, 724.123202668499, 747.812518691111,          1193.18786481641, 1201.23346536109, 1207.66309795375,          1334.80889301406, 1359.5660800271, 1444.28338988304,          1452.52830235625, 1514.77767710752)), row.names = c("241",      "55", "805", "675", "276", "726", "877", "678", "893", "650",      "479", "697", "526", "332", "786", "986", "61", "387", "592",      "987"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999978243702666,      0.999964596385902, 0.998275705619767, 0.996337121698651,      0.991795248886833, 0.916928851615999, 0.88118242550863, 0.834280191143283,      0.750892404397168, 0.595179020580047, 0.571962409265646,      0.14404402433947, 0.137741587678546, 0.132776789341418, 0.0499531051817394,      0.0378033391423127, 0.00826456724319873, 0.00648035899152391,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1159388880 
R squared (OOB):                  0.5866303 

$Forests[[242]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(333000, 340000, 360000,      358000, 337000, 335000, 364000, 375000, 373888, 333000, 320000,      333000, 320000, 330000, 350000, 324000, 325000, 339000, 345000,      345000), floor_area_sqm = c(103, 105, 105, 101, 105, 100,      100, 93, 93, 100, 100, 90, 101, 102, 102, 90, 91, 102, 102,      102), storey_order = c(1L, 1L, 3L, 3L, 1L, 4L, 2L, 5L, 5L,      4L, 4L, 2L, 1L, 1L, 4L, 4L, 2L, 3L, 2L, 4L), remaining_lease_mths = c(953,      956, 960, 960, 947, 930, 921, 993, 990, 928, 930, 1009, 924,      911, 923, 929, 970, 923, 927, 926), PROX_CBD = c(17.7412802518209,      17.6472423100513, 17.6410789876396, 17.5852868111176, 17.5852868111176,      17.9186379864086, 17.9386403893839, 17.8363687874637, 17.8363687874637,      18.2095446148373, 18.242108360018, 17.8072819651564, 18.0902268845521,      18.2320763538069, 18.0569924715364, 18.3448727328387, 17.7083177660008,      17.9456645257603, 18.2868848905217, 18.236688278315), PROX_ELDERLYCARE = c(1.00357172816211,      1.0260991137238, 0.969292416022308, 0.979721953613503, 0.979721953613503,      1.13507400842797, 0.714833653499633, 1.40920769604983, 1.40920769604983,      1.17430183890643, 1.08331104464233, 1.52664538751384, 0.706169610995159,      0.927534095024191, 0.59750504274373, 1.12000720290482, 0.378187975507624,      0.476454782767532, 0.896456720381782, 0.732088251039709),          PROX_HAWKER = c(0.286367973105455, 0.322354465675231,          0.270187519380927, 0.300047945510982, 0.300047945510982,          0.435091735724103, 0.201936965562497, 0.692541487012902,          0.692541487012902, 0.579651089601917, 0.548257960059823,          0.809141875883089, 0.370412154176866, 0.493410913505403,          0.391180253405874, 0.636376603494217, 0.340346390827249,          0.3648710200987, 0.547085889030319, 0.537987121264097         ), PROX_MRT = c(0.240079810641839, 0.296963624455722,          0.253083991654003, 0.294966346549802, 0.294966346549802,          0.364011265623101, 0.168914117564514, 0.634260663268818,          0.634260663268818, 0.501132314022455, 0.47401652613315,          0.753928873695942, 0.341202563029131, 0.433316978327494,          0.384524332485438, 0.565211037998289, 0.403335562748004,          0.385567417899789, 0.495991449430539, 0.511061821383635         ), PROX_PARK = c(2.28949331488756, 2.2163258228061, 2.26013213847351,          2.22462050149276, 2.22462050149276, 2.31505119222808,          1.99379565561889, 2.04440878541867, 2.04440878541867,          2.25371860749481, 2.12857307310705, 1.93736074272598,          1.8531048262974, 1.96114614265628, 1.77011013021076,          2.08056453235766, 1.86766019581863, 1.76180373116006,          1.86697967968657, 1.7164330470264), PROX_GOOD_PRISCH = c(8.20478390995202,          8.10862356805264, 8.10977708422392, 8.05369522760851,          8.05369522760851, 8.3676789538936, 8.4444135457925, 8.25468587074647,          8.25468587074647, 8.6635222339794, 8.71021480286832,          8.21423979230025, 8.60631027953587, 8.72297519828522,          8.58956131155308, 8.81498363377987, 8.26299778187914,          8.49089982759618, 8.78822500750919, 8.76378557853615),          PROX_MALL = c(0.222110908162432, 0.255877276101632, 0.204458422444813,          0.237472256939882, 0.237472256939882, 0.384238747959315,          0.238372860218233, 0.630636123898788, 0.630636123898788,          0.468966497593582, 0.347669457974494, 0.745769461616378,          0.342860958869265, 0.22704735136933, 0.407254736414821,          0.284195187673565, 0.335143296665789, 0.428159644756295,          0.1450338527091, 0.240339889961931), PROX_CHAS = c(0.222110881748482,          0.212266026856788, 0.201289943337815, 0.145295883687343,          0.145295883687343, 0.360842629752134, 0.076984763134016,          0.221589023831152, 0.221589023831152, 0.3998394205418,          0.274735402884708, 0.195830090979757, 0.209799590563819,          0.11607611654581, 0.222103720735081, 0.24769320941352,          0.30242004444134, 0.218909691095897, 0.0217240252323136,          0.184864523484869), PROX_SUPERMARKET = c(0.222110358133712,          0.255876154174577, 0.204457160029983, 0.237470779768967,          0.237470779768967, 0.360842909613722, 0.171190500184261,          0.22158921197453, 0.22158921197453, 0.402574253870019,          0.347668959247477, 0.265666518411173, 0.342860053820009,          0.227046556279957, 0.385535197909366, 0.284194910851331,          0.332189289926598, 0.365864675212809, 0.145032957963293,          0.240339157209448), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,          1L, 1L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(5L, 6L,          5L, 5L, 5L, 1L, 6L, 3L, 3L, 2L, 3L, 2L, 6L, 5L, 4L, 5L,          6L, 3L, 7L, 6L), WITHIN_350M_BUS = c(16L, 13L, 15L, 15L,          15L, 11L, 8L, 6L, 6L, 8L, 7L, 4L, 7L, 10L, 9L, 8L, 7L,          8L, 9L, 7L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L,          3L, 5L, 3L, 3L, 4L, 4L, 3L, 5L, 4L, 6L, 4L, 5L, 6L, 4L,          6L), DNeighbour = c(0, 96.9587449902746, 100.243774557391,          158.391751566371, 158.5901696556, 211.696838307703, 385.4494318834,          406.637815190927, 416.744349614759, 475.889173621398,          512.618003187979, 525.05895152945, 541.955441541314,          550.282976501157, 612.438484421292, 613.393936804389,          620.36089118922, 620.714951351986, 635.564064645218,          702.737165112644)), row.names = c("242", "554", "615",      "224", "800", "590", "638", "118", "391", "243", "608", "358",      "74", "443", "491", "512", "544", "20", "787", "227"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.962289300350123, 0.959717375681169, 0.900977183392186,      0.900735421599676, 0.826736981626087, 0.488811730579627,      0.442445673343121, 0.420312601238628, 0.293123387846022,      0.218920543343862, 0.195141293609946, 0.164219940469201,      0.149631536889846, 0.0578307253414455, 0.0566956706989226,      0.0487098353192836, 0.048317866494784, 0.033138042695607,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       190409857 
R squared (OOB):                  0.3182789 

$Forests[[243]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(333000, 320000, 324000,      4e+05, 395000, 335000, 330000, 378000, 375000, 394000, 368888,      380000, 345000, 378000, 364000, 333000, 320000, 310000, 375000,      373888), floor_area_sqm = c(100, 100, 90, 92, 92, 100, 102,      92, 92, 92, 92, 92, 102, 92, 100, 103, 101, 91, 93, 93),          storey_order = c(4L, 4L, 4L, 4L, 3L, 4L, 1L, 3L, 2L,          5L, 4L, 4L, 2L, 2L, 2L, 1L, 1L, 4L, 5L, 5L), remaining_lease_mths = c(928,          930, 929, 1145, 1132, 930, 911, 1133, 1135, 1142, 1143,          1135, 927, 1136, 921, 953, 924, 927, 993, 990), PROX_CBD = c(18.2095446148373,          18.242108360018, 18.3448727328387, 18.4659506582063,          18.4477570786683, 17.9186379864086, 18.2320763538069,          18.5541585191533, 18.5586196198757, 18.5586196198757,          18.528449956106, 18.528449956106, 18.2868848905217, 18.6831604018118,          17.9386403893839, 17.7412802518209, 18.0902268845521,          18.6571260927441, 17.8363687874637, 17.8363687874637),          PROX_ELDERLYCARE = c(1.17430183890643, 1.08331104464233,          1.12000720290482, 1.40960952841152, 1.45029388933935,          1.13507400842797, 0.927534095024191, 1.3934670212363,          1.41981179339616, 1.41981179339616, 1.49671415705568,          1.49671415705568, 0.896456720381782, 1.47678345842271,          0.714833653499633, 1.00357172816211, 0.706169610995159,          1.27166470727688, 1.40920769604983, 1.40920769604983),          PROX_HAWKER = c(0.579651089601917, 0.548257960059823,          0.636376603494217, 0.861254406292383, 0.879695992543251,          0.435091735724103, 0.493410913505403, 0.899006211509986,          0.915906485722884, 0.915906485722884, 0.947708217710491,          0.947708217710491, 0.547085889030319, 1.01746494726896,          0.201936965562497, 0.286367973105455, 0.370412154176866,          0.924657565926692, 0.692541487012902, 0.692541487012902         ), PROX_MRT = c(0.501132314022455, 0.47401652613315,          0.565211037998289, 0.783375472664302, 0.801027338961469,          0.364011265623101, 0.433316978327494, 0.823747240068891,          0.839968978875504, 0.839968978875504, 0.869531291623609,          0.869531291623609, 0.495991449430539, 0.943619619760125,          0.168914117564514, 0.240079810641839, 0.341202563029131,          0.861078471223358, 0.634260663268818, 0.634260663268818         ), PROX_PARK = c(2.25371860749481, 2.12857307310705,          2.08056453235766, 2.321508063195, 2.38376543636855, 2.31505119222808,          1.96114614265628, 2.22642888666982, 2.25577949184332,          2.25577949184332, 2.37596217173297, 2.37596217173297,          1.86697967968657, 2.2148581526701, 1.99379565561889,          2.28949331488756, 1.8531048262974, 1.95136051888807,          2.04440878541867, 2.04440878541867), PROX_GOOD_PRISCH = c(8.6635222339794,          8.71021480286832, 8.81498363377987, 8.90481615501782,          8.8804818877731, 8.3676789538936, 8.72297519828522, 9.00155567304774,          9.00274768401056, 9.00274768401056, 8.9605147002348,          8.9605147002348, 8.78822500750919, 9.12987022396436,          8.4444135457925, 8.20478390995202, 8.60631027953587,          9.13456945987866, 8.25468587074647, 8.25468587074647),          PROX_MALL = c(0.468966497593582, 0.347669457974494, 0.284195187673565,          0.542775018358786, 0.601716003339109, 0.384238747959315,          0.22704735136933, 0.475387173022169, 0.5054917244252,          0.5054917244252, 0.613385110580272, 0.613385110580272,          0.1450338527091, 0.525391611000181, 0.238372860218233,          0.222110908162432, 0.342860958869265, 0.300602441432182,          0.630636123898788, 0.630636123898788), PROX_CHAS = c(0.3998394205418,          0.274735402884708, 0.24769320941352, 0.20305264112251,          0.260006933015678, 0.360842629752134, 0.11607611654581,          0.0809306171135589, 0.101888085354885, 0.101888085354885,          0.220932244035638, 0.220932244035638, 0.0217240252323136,          0.090990597005735, 0.076984763134016, 0.222110881748482,          0.209799590563819, 0.214120710257936, 0.221589023831152,          0.221589023831152), PROX_SUPERMARKET = c(0.402574253870019,          0.347668959247477, 0.284194910851331, 0.203051245143547,          0.260005577706646, 0.360842909613722, 0.227046556279957,          0.080929224247632, 0.101886801165025, 0.101886801165025,          0.220931072377982, 0.220931072377982, 0.145032957963293,          0.0909910491430168, 0.171190500184261, 0.222110358133712,          0.342860053820009, 0.214121714630789, 0.22158921197453,          0.22158921197453), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          1L, 0L, 0L, 1L, 2L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 1L, 1L,          2L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 3L, 5L,          3L, 3L, 1L, 5L, 3L, 3L, 3L, 3L, 3L, 7L, 3L, 6L, 5L, 6L,          3L, 3L, 3L), WITHIN_350M_BUS = c(8L, 7L, 8L, 6L, 8L,          11L, 10L, 8L, 5L, 5L, 6L, 6L, 9L, 5L, 8L, 16L, 7L, 8L,          6L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 3L, 3L,          4L, 4L, 4L, 4L, 3L, 3L, 4L, 3L, 5L, 4L, 5L, 3L, 3L, 3L         ), DNeighbour = c(0, 128.569580783809, 198.89087759874,          278.575351476311, 294.457375306323, 297.533779307736,          305.143490774058, 343.675541556551, 354.344298198129,          356.859254697128, 371.071111140938, 371.318463004097,          392.572728237212, 471.93323152324, 475.291121022257,          475.889173621398, 484.083478843943, 502.506982338651,          510.653534481061, 516.383801981924)), row.names = c("243",      "608", "512", "777", "504", "590", "443", "563", "35", "581",      "875", "102", "787", "664", "638", "242", "74", "761", "118",      "391"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.879860190004988,      0.725309493620163, 0.502636186703384, 0.455406462134975,      0.446234976800306, 0.423552399465606, 0.310307743474915,      0.279973216345176, 0.27291969723658, 0.233888701573676, 0.233223080402365,      0.178120852518463, 0.0271429343017378, 0.023354854813486,      0.0227073638648585, 0.0146868639298457, 0.00281154288829571,      0.000487115347841731, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       340902061 
R squared (OOB):                  0.5884434 

$Forests[[244]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 4e+05, 4e+05,      5e+05, 742000, 688000, 653000, 729999, 468888, 480000, 535000,      745000, 682000, 5e+05, 478000, 363000, 7e+05, 413888, 380000,      295000), floor_area_sqm = c(92, 92, 104, 91, 92, 90, 91,      100, 92, 92, 92, 100, 100, 91, 92, 97, 95, 88, 90, 99), storey_order = c(2L,      3L, 4L, 1L, 7L, 6L, 2L, 6L, 3L, 3L, 3L, 10L, 10L, 2L, 4L,      4L, 3L, 2L, 7L, 1L), remaining_lease_mths = c(719, 708, 745,      690, 1104, 985, 1121, 1122, 701, 692, 694, 1122, 1120, 706,      716, 701, 1100, 668, 985, 730), PROX_CBD = c(10.2629321739313,      10.1748545259067, 9.4187827620762, 10.2183960492338, 9.57467117229508,      9.84174458192399, 9.51816518584724, 9.41601606571959, 9.79963982832759,      9.76973796844692, 9.76973796844692, 9.28682806708392, 9.28682806708392,      10.2657373615824, 9.58813304663833, 12.1013944735855, 7.97001655790022,      7.88501742637481, 13.0015179461712, 13.0062996581569), PROX_ELDERLYCARE = c(1.00265829049513,      0.889757070081441, 0.579996323717894, 0.670964346371623,      0.0836678964153836, 0.339166460968835, 0.0590206014568566,      0.14515851054369, 0.390845215421192, 0.487200680071974, 0.487200680071974,      0.306248896776786, 0.306248896776786, 0.519949541574078,      0.251441869005946, 2.41403538414825, 0.682273370470252, 0.487583248392117,      2.41293236098656, 2.38777651439997), PROX_HAWKER = c(0.370496257898541,      0.304343114187016, 0.508914568418093, 0.161327078165055,      0.628838904549623, 0.272020065995023, 0.5145461029689, 0.552624576950901,      0.315572935590663, 0.323134910569429, 0.323134910569429,      0.449541776391294, 0.449541776391294, 0.527790221924738,      0.391674386653945, 0.561617227785994, 0.840126401207934,      0.645875214067525, 0.351298271738361, 0.353572407863602),          PROX_MRT = c(1.21137251272603, 1.12559589355515, 1.21403827268849,          0.352113639571012, 0.731513991246432, 0.348847208140378,          0.689820066215858, 0.796240617220745, 0.308409661615337,          0.307725216106606, 0.307725216106606, 0.819017740329599,          0.819017740329599, 0.351828842975553, 0.707146681079003,          1.71497473755306, 0.726942522279936, 0.707952731476156,          1.33144343213696, 1.27898935828478), PROX_PARK = c(0.429817985649402,          0.326884491561474, 0.633868788719276, 0.412720152963846,          0.402026431996325, 0.429024269124863, 0.506309566114581,          0.579398729399101, 0.556935587195362, 0.692980820038259,          0.692980820038259, 0.754667699158598, 0.754667699158598,          0.752867192571236, 0.630094576064042, 0.181629272169071,          0.618444971248099, 0.511064020035708, 1.07883678308045,          1.09068530070835), PROX_GOOD_PRISCH = c(1.58756538029025,          1.53712936271762, 1.8319493658717, 0.778258345851083,          1.37880970746963, 0.999365026226873, 1.35033962190844,          1.45792936689373, 0.97109568154285, 0.945616550360875,          0.945616550360875, 1.50498632547922, 1.50498632547922,          0.402201611323318, 1.10432321767326, 1.52909264222103,          2.78644315018514, 2.82520953766913, 2.38441646582032,          2.37986575446387), PROX_MALL = c(0.573348708551386, 0.493589384976364,          0.308706652763352, 0.1993183735571, 0.493679276753517,          0.188176716989659, 0.508727078362918, 0.616886214909116,          0.277854565241424, 0.3113714109904, 0.3113714109904,          0.732362808464395, 0.732362808464395, 0.347570072991699,          0.759347764163403, 1.69674818443598, 0.66906173274608,          0.535655644340599, 1.32151107168067, 1.26979124568258         ), PROX_CHAS = c(0.166187985395119, 0.118978706369709,          0.308706623046814, 0.176868193181362, 0.0836673580931749,          0.139131199666608, 0.0590210156667789, 0.145158576319141,          0.213793078898363, 0.164045702260751, 0.164045702260751,          0.30624919123722, 0.30624919123722, 0.329846033180528,          0.395290416984683, 0.26797195188846, 0.195243012850588,          0.102679570293108, 0.185431787540406, 0.178755496827681         ), PROX_SUPERMARKET = c(0.394772134126693, 0.371852561025965,          0.31508799294366, 0.245740902557878, 0.0769150331708007,          0.139131268426574, 0.0642147642973091, 0.145877744762322,          0.217115292225756, 0.329801606095394, 0.329801606095394,          0.309780650655361, 0.309780650655361, 0.353445486406562,          0.20799335196523, 0.570395350553557, 0.169510705521186,          0.158953339299884, 0.185431698278212, 0.178755398427066         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 0L, 0L, 1L,          0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(1L, 3L, 4L, 6L, 2L, 4L,          1L, 1L, 4L, 3L, 3L, 1L, 1L, 4L, 2L, 1L, 0L, 1L, 4L, 4L         ), WITHIN_350M_BUS = c(7L, 8L, 3L, 6L, 7L, 9L, 7L, 8L,          11L, 11L, 11L, 7L, 7L, 10L, 7L, 10L, 7L, 5L, 10L, 7L),          WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 4L, 2L, 3L, 2L, 2L,          3L, 3L, 3L, 1L, 1L, 3L, 2L, 0L, 1L, 1L, 0L, 0L), DNeighbour = c(0,          109.289976569877, 856.505702508897, 880.020108508803,          935.05610034621, 1016.76284940884, 1062.70497484777,          1107.29909478626, 1140.24355094487, 1277.95920809379,          1277.97607248174, 1289.91535158573, 1291.38206106498,          1505.36789400096, 1812.55527107703, 2147.48005467002,          2379.34524563081, 2524.84498261393, 2997.37050910934,          3019.81449916132)), row.names = c("244", "245", "278",      "584", "551", "268", "983", "928", "943", "926", "68", "308",      "794", "649", "640", "40", "904", "338", "45", "445"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.997382144806173, 0.845581081347115, 0.837366154928392,      0.81743825245727, 0.78612170897393, 0.767654370867909, 0.749172219695905,      0.735182507591229, 0.673891796379292, 0.673884035985939,      0.668375621876634, 0.667696962860603, 0.564753648730856,      0.409260962510073, 0.244326973515258, 0.143789727892562,      0.0905702573006212, 0.000219313719633401, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7082832285 
R squared (OOB):                  0.6760797 

$Forests[[245]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 360000, 4e+05,      5e+05, 742000, 688000, 653000, 729999, 468888, 480000, 745000,      535000, 682000, 5e+05, 478000, 363000, 7e+05, 413888, 380000,      295000), floor_area_sqm = c(92, 92, 104, 91, 92, 90, 91,      100, 92, 92, 100, 92, 100, 91, 92, 97, 95, 88, 90, 99), storey_order = c(3L,      2L, 4L, 1L, 7L, 6L, 2L, 6L, 3L, 3L, 10L, 3L, 10L, 2L, 4L,      4L, 3L, 2L, 7L, 1L), remaining_lease_mths = c(708, 719, 745,      690, 1104, 985, 1121, 1122, 701, 692, 1122, 694, 1120, 706,      716, 701, 1100, 668, 985, 730), PROX_CBD = c(10.1748545259067,      10.2629321739313, 9.4187827620762, 10.2183960492338, 9.57467117229508,      9.84174458192399, 9.51816518584724, 9.41601606571959, 9.79963982832759,      9.76973796844692, 9.28682806708392, 9.76973796844692, 9.28682806708392,      10.2657373615824, 9.58813304663833, 12.1013944735855, 7.97001655790022,      7.88501742637481, 13.0015179461712, 13.0062996581569), PROX_ELDERLYCARE = c(0.889757070081441,      1.00265829049513, 0.579996323717894, 0.670964346371623, 0.0836678964153836,      0.339166460968835, 0.0590206014568566, 0.14515851054369,      0.390845215421192, 0.487200680071974, 0.306248896776786,      0.487200680071974, 0.306248896776786, 0.519949541574078,      0.251441869005946, 2.41403538414825, 0.682273370470252, 0.487583248392117,      2.41293236098656, 2.38777651439997), PROX_HAWKER = c(0.304343114187016,      0.370496257898541, 0.508914568418093, 0.161327078165055,      0.628838904549623, 0.272020065995023, 0.5145461029689, 0.552624576950901,      0.315572935590663, 0.323134910569429, 0.449541776391294,      0.323134910569429, 0.449541776391294, 0.527790221924738,      0.391674386653945, 0.561617227785994, 0.840126401207934,      0.645875214067525, 0.351298271738361, 0.353572407863602),          PROX_MRT = c(1.12559589355515, 1.21137251272603, 1.21403827268849,          0.352113639571012, 0.731513991246432, 0.348847208140378,          0.689820066215858, 0.796240617220745, 0.308409661615337,          0.307725216106606, 0.819017740329599, 0.307725216106606,          0.819017740329599, 0.351828842975553, 0.707146681079003,          1.71497473755306, 0.726942522279936, 0.707952731476156,          1.33144343213696, 1.27898935828478), PROX_PARK = c(0.326884491561474,          0.429817985649402, 0.633868788719276, 0.412720152963846,          0.402026431996325, 0.429024269124863, 0.506309566114581,          0.579398729399101, 0.556935587195362, 0.692980820038259,          0.754667699158598, 0.692980820038259, 0.754667699158598,          0.752867192571236, 0.630094576064042, 0.181629272169071,          0.618444971248099, 0.511064020035708, 1.07883678308045,          1.09068530070835), PROX_GOOD_PRISCH = c(1.53712936271762,          1.58756538029025, 1.8319493658717, 0.778258345851083,          1.37880970746963, 0.999365026226873, 1.35033962190844,          1.45792936689373, 0.97109568154285, 0.945616550360875,          1.50498632547922, 0.945616550360875, 1.50498632547922,          0.402201611323318, 1.10432321767326, 1.52909264222103,          2.78644315018514, 2.82520953766913, 2.38441646582032,          2.37986575446387), PROX_MALL = c(0.493589384976364, 0.573348708551386,          0.308706652763352, 0.1993183735571, 0.493679276753517,          0.188176716989659, 0.508727078362918, 0.616886214909116,          0.277854565241424, 0.3113714109904, 0.732362808464395,          0.3113714109904, 0.732362808464395, 0.347570072991699,          0.759347764163403, 1.69674818443598, 0.66906173274608,          0.535655644340599, 1.32151107168067, 1.26979124568258         ), PROX_CHAS = c(0.118978706369709, 0.166187985395119,          0.308706623046814, 0.176868193181362, 0.0836673580931749,          0.139131199666608, 0.0590210156667789, 0.145158576319141,          0.213793078898363, 0.164045702260751, 0.30624919123722,          0.164045702260751, 0.30624919123722, 0.329846033180528,          0.395290416984683, 0.26797195188846, 0.195243012850588,          0.102679570293108, 0.185431787540406, 0.178755496827681         ), PROX_SUPERMARKET = c(0.371852561025965, 0.394772134126693,          0.31508799294366, 0.245740902557878, 0.0769150331708007,          0.139131268426574, 0.0642147642973091, 0.145877744762322,          0.217115292225756, 0.329801606095394, 0.309780650655361,          0.329801606095394, 0.309780650655361, 0.353445486406562,          0.20799335196523, 0.570395350553557, 0.169510705521186,          0.158953339299884, 0.185431698278212, 0.178755398427066         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 0L, 0L, 1L,          0L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 1L, 4L, 6L, 2L, 4L,          1L, 1L, 4L, 3L, 1L, 3L, 1L, 4L, 2L, 1L, 0L, 1L, 4L, 4L         ), WITHIN_350M_BUS = c(8L, 7L, 3L, 6L, 7L, 9L, 7L, 8L,          11L, 11L, 7L, 11L, 7L, 10L, 7L, 10L, 7L, 5L, 10L, 7L),          WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 4L, 2L, 3L, 2L, 2L,          3L, 3L, 1L, 3L, 1L, 3L, 2L, 0L, 1L, 1L, 0L, 0L), DNeighbour = c(0,          109.289976569877, 763.145429816645, 809.083824050244,          825.884700836648, 918.693888255265, 953.987395102714,          998.009283014212, 1042.47918912932, 1180.61767699413,          1180.63817230896, 1180.9501613433, 1182.09680562605,          1434.42022152736, 1714.51160348741, 2183.63614386405,          2279.97723601998, 2423.1326574529, 3045.15773640979,          3065.80540514315)), row.names = c("245", "244", "278",      "584", "551", "268", "983", "928", "943", "926", "308", "68",      "794", "649", "640", "40", "904", "338", "45", "445"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.997460048315477, 0.879915284905278, 0.865558061848701,      0.86012871461093, 0.828473018402445, 0.815721618733454, 0.799290925193454,      0.782122026755528, 0.725399729843363, 0.725390959313184,      0.72525743805007, 0.724766513815033, 0.610103142562986, 0.472318137289187,      0.242745790980643, 0.199755817385286, 0.140856887165068,      0.000180211720947715, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7035960886 
R squared (OOB):                  0.6782233 

$Forests[[246]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(580000, 650000, 640000,      725000, 590000, 580000, 660000, 515000, 620000, 560000, 451000,      520000, 409500, 418000, 446000, 488000, 480000, 385000, 465000,      678000), floor_area_sqm = c(90, 90, 90, 90, 90, 108, 105,      84, 103, 105, 83, 107, 84, 84, 94, 104, 94, 93, 91, 92),          storey_order = c(1L, 6L, 2L, 9L, 2L, 8L, 6L, 4L, 4L,          2L, 8L, 2L, 3L, 3L, 2L, 1L, 6L, 1L, 2L, 3L), remaining_lease_mths = c(1006,          1011, 1011, 995, 996, 760, 748, 804, 742, 913, 604, 892,          807, 804, 723, 776, 725, 772, 764, 1103), PROX_CBD = c(2.65695642963531,          2.65695642963531, 2.65695642963531, 2.61519687417969,          2.69989267302812, 2.26543941452074, 3.5952466633456,          3.75781957676323, 3.79744534670369, 3.91005014077452,          3.63056019358172, 4.23142849537126, 4.20973993763024,          4.20973993763024, 4.45295385586978, 4.16405648472164,          4.50933618399607, 4.25035751849909, 4.28329341592686,          3.93031212371417), PROX_ELDERLYCARE = c(0.3590471791371,          0.3590471791371, 0.3590471791371, 0.386066702151211,          0.352346052518342, 0.404007374923036, 0.354500614782039,          0.582389211118023, 0.296175206272889, 0.449207181019876,          0.124703716495981, 0.272010492111063, 0.156291063754703,          0.156291063754703, 0.645271528549996, 0.434539750657667,          0.665866395733666, 0.411587417191489, 0.4193003334471,          0.159701117649001), PROX_HAWKER = c(0.48810855559281,          0.48810855559281, 0.48810855559281, 0.52081126471543,          0.468835135082758, 0.210544550468706, 0.311385334077859,          0.393163811818296, 0.300770398866256, 0.464701711390969,          0.0619655343942362, 0.392124905911543, 0.46881842734995,          0.46881842734995, 0.601904675681234, 0.502732414569621,          0.665007751295857, 0.610932712322496, 0.638679046714181,          0.374782156946409), PROX_MRT = c(0.285614625668497, 0.285614625668497,          0.285614625668497, 0.320255480062021, 0.230131940688868,          0.306886682672286, 0.16267041353008, 0.434583879195091,          0.195276091150508, 0.361698258812245, 0.188513622979597,          0.870814763860364, 0.750034220630686, 0.750034220630686,          0.66128766903618, 0.518003091395578, 0.549595780709265,          0.605174310138743, 0.637237645879563, 0.57487373386568         ), PROX_PARK = c(0.426964305014519, 0.426964305014519,          0.426964305014519, 0.427354201328866, 0.41386436288237,          0.0441643212802781, 0.796125682214674, 0.885911587583127,          0.620239922284967, 0.651892034671684, 0.634729277660292,          0.989030190878471, 0.828179073128827, 0.828179073128827,          0.473457593144303, 0.269719137898212, 0.353281501558379,          0.346786980248178, 0.336599362476296, 0.43227753152338         ), PROX_GOOD_PRISCH = c(4.78575462214909, 4.78575462214909,          4.78575462214909, 4.82322880287643, 4.75214496578899,          5.27420554603454, 4.26949140427292, 3.98479480133756,          4.13618512399158, 3.96984616110429, 4.47678155678584,          3.47561641519302, 3.58178441884724, 3.58178441884724,          3.02211493728223, 3.99853475328204, 2.94429219434277,          3.87277035706644, 3.85984302070176, 4.55218800106713),          PROX_MALL = c(0.412388661644518, 0.412388661644518, 0.412388661644518,          0.426721378040506, 0.380876218870723, 0.216535056802411,          0.962766222186716, 1.1081035152608, 1.16769889708728,          1.2652175398851, 0.917363569028491, 1.1888213641646,          1.26743973989934, 1.26743973989934, 0.570379319619026,          1.00998414702412, 0.485349818185599, 0.955673327573223,          0.92062293894618, 1.09934779211931), PROX_CHAS = c(0.260712311456847,          0.260712311456847, 0.260712311456847, 0.297575542785259,          0.202908600866322, 0.146883739415237, 0.0963682910788478,          0.345906079563203, 0.121619853002556, 0.108899254787234,          0.112941217538546, 0.106822211501606, 0.163154212627783,          0.163154212627783, 0.303272176186244, 0.147909276913635,          0.331046161101227, 0.260827480873255, 0.285886541141976,          0.304936065418075), PROX_SUPERMARKET = c(0.447218369070658,          0.447218369070658, 0.447218369070658, 0.470018893217644,          0.44532403657541, 0.186677322210676, 0.269187390315468,          0.128350069204848, 0.191561540751545, 0.115229795891962,          0.0867224629960944, 0.139079920157556, 0.118448079318654,          0.118448079318654, 0.34627255092781, 0.506391752127701,          0.325943517329761, 0.512280309006142, 0.506434284786685,          0.35411008396507), WITHIN_350M_KINDERGARTEN = c(2L, 2L,          2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 0L, 2L, 1L, 1L, 0L, 1L,          0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L,          2L, 2L, 1L, 4L, 4L, 4L, 4L, 5L, 6L, 3L, 3L, 1L, 6L, 1L,          5L, 4L, 3L), WITHIN_350M_BUS = c(3L, 3L, 3L, 3L, 4L,          3L, 6L, 3L, 5L, 5L, 4L, 7L, 7L, 7L, 6L, 5L, 5L, 5L, 5L,          5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 0L, 3L, 3L, 1L),          DNeighbour = c(0, 5.82436901581194, 5.91036261266072,          48.6823241572648, 69.0257471822494, 577.021300795766,          1256.90542660273, 1271.03323960331, 1448.3511573823,          1487.88959113446, 1495.24985333119, 1657.70392578353,          1671.61564010533, 1677.34403845681, 1793.64820512556,          1849.16379535612, 1856.55481360859, 1886.88731969861,          1926.92198167901, 1928.75680821578)), row.names = c("246",      "821", "521", "923", "796", "398", "699", "234", "952", "176",      "237", "849", "382", "907", "346", "223", "622", "19", "747",      "801"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999981762267682,      0.999981219754483, 0.998726264365372, 0.997440123095471,      0.829008106609909, 0.331006098337518, 0.320051514978647,      0.190193739105019, 0.163947875163895, 0.159203075195926,      0.0682857891145654, 0.0619338668148115, 0.0593937180010778,      0.0182769350341681, 0.00653349636652429, 0.00539748915749317,      0.00184425575907494, 3.61644471008269e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12572052025 
R squared (OOB):                  -0.2723648 

$Forests[[247]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 295000, 320000,      320000, 288000, 349000, 282000, 312000, 371000, 336000, 330000,      338000, 315000, 388000, 365000, 295000, 415000, 410000, 432000,      420000), floor_area_sqm = c(115, 84, 104, 84, 84, 103, 84,      101, 100, 102, 103, 102, 103, 92, 92, 101, 92, 92, 92, 92     ), storey_order = c(1L, 4L, 4L, 4L, 3L, 2L, 1L, 2L, 2L, 3L,      1L, 4L, 2L, 1L, 1L, 1L, 2L, 2L, 4L, 1L), remaining_lease_mths = c(898,      875, 893, 885, 893, 832, 836, 933, 918, 916, 928, 922, 926,      1134, 1135, 917, 1125, 1136, 1123, 1121), PROX_CBD = c(18.4399301385868,      18.4249149071789, 18.4249149071789, 18.3433564216417, 18.3632948597919,      18.0642207733449, 18.5087583118065, 18.4625985868209, 17.9318121245061,      18.5506225538857, 18.5768909080638, 18.1611534549189, 18.5458637520931,      17.8160591469996, 17.8160591469996, 18.4986491838169, 17.7609329148819,      17.7152334804069, 17.7152334804069, 17.7152334804069), PROX_ELDERLYCARE = c(0.789710764787337,      0.705240184131779, 0.705240184131779, 0.623669944895056,      0.645296274244347, 0.558648465009425, 0.855934448185717,      0.765079897684544, 0.559180828327224, 0.859723249528503,      0.912532633143698, 0.519233937445895, 0.890661700747245,      0.101440000613482, 0.101440000613482, 0.86418951980865, 0.0656405943898966,      0.0982899037000713, 0.0982899037000713, 0.0982899037000713     ), PROX_HAWKER = c(1.26661829972954, 1.0161652570538, 1.0161652570538,      0.960648791795978, 0.921741667576702, 1.20831273824173, 1.00705768005988,      0.906262708365532, 1.18812307179958, 0.958117298193611, 0.935860141611343,      0.617364695979906, 0.898999046399804, 0.755409785256781,      0.755409785256781, 0.838043969781633, 0.769612072642938,      0.815736811633103, 0.815736811633103, 0.815736811633103),          PROX_MRT = c(0.715824290886542, 0.906393011935236, 0.906393011935236,          0.899458799363821, 0.927224403125457, 0.387700307898407,          0.534460782086299, 0.897303014326537, 0.256828620430729,          0.942174684471822, 0.912233851204259, 0.623413162025338,          0.87509641959225, 0.729659889526201, 0.729659889526201,          0.812751343363136, 0.714624513867521, 0.674833365376197,          0.674833365376197, 0.674833365376197), PROX_PARK = c(0.859791414716402,          1.13759587953072, 1.13759587953072, 1.17596756648915,          1.22890358268929, 1.04306097562022, 0.516289874277036,          1.31620863428189, 1.11695175135574, 1.32670572464855,          1.41172869826724, 1.52418818882418, 1.4387346144793,          1.49250729308795, 1.49250729308795, 1.49181484955502,          1.52091098886828, 1.52614967260321, 1.52614967260321,          1.52614967260321), PROX_GOOD_PRISCH = c(9.10971468714541,          9.03817471771729, 9.03817471771729, 8.95760590087653,          8.96505409295358, 8.76549326341746, 9.25922423900801,          9.04019528068803, 8.65275846320069, 9.12094588228633,          9.13217936844248, 8.72758527833631, 9.09837600782165,          8.44175881664207, 8.44175881664207, 9.04519470993137,          8.39120163011403, 8.35538963357137, 8.35538963357137,          8.35538963357137), PROX_MALL = c(0.107021299056373, 0.204519313237763,          0.204519313237763, 0.22079632378696, 0.282416841692855,          0.424594513900518, 0.521454353681198, 0.414588198127445,          0.417130987397582, 0.46921205797367, 0.390092702495136,          0.475604736810637, 0.359721010486642, 0.183177100903513,          0.183177100903513, 0.305101649121832, 0.147411017927622,          0.158599011552442, 0.158599011552442, 0.158599011552442         ), PROX_CHAS = c(0.107021320216693, 0.20451929737041,          0.20451929737041, 0.167893491583302, 0.231219576578415,          0.124680964632411, 0.521454374874156, 0.399223798550346,          0.259891808560044, 0.469212052170377, 0.390092699752756,          0.405258493214775, 0.359721009550721, 0.183177099178452,          0.183177099178452, 0.305101651313883, 0.14741100268466,          0.158598978424062, 0.158598978424062, 0.158598978424062         ), PROX_SUPERMARKET = c(0.107021556198121, 0.204519239868594,          0.204519239868594, 0.220795796105544, 0.282416494634945,          0.424593495373258, 0.521454611985023, 0.414588227521533,          0.438907970807184, 0.469212308573368, 0.390093045846372,          0.475604214408431, 0.359721304530864, 0.137568853383185,          0.137568853383185, 0.305101855713295, 0.113022549454425,          0.144345834884574, 0.144345834884574, 0.144345834884574         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          0L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 7L, 7L, 8L, 8L, 2L,          1L, 6L, 3L, 6L, 5L, 5L, 5L, 8L, 8L, 6L, 8L, 6L, 6L, 6L         ), WITHIN_350M_BUS = c(7L, 9L, 9L, 8L, 8L, 7L, 4L, 8L,          9L, 8L, 9L, 10L, 9L, 15L, 15L, 9L, 10L, 12L, 12L, 12L         ), WITHIN_1KM_PRISCH = c(3L, 4L, 4L, 4L, 4L, 6L, 4L,          5L, 7L, 5L, 4L, 6L, 4L, 6L, 6L, 4L, 6L, 7L, 7L, 7L),          DNeighbour = c(0, 311.757261437527, 314.612238975357,          324.979837447431, 384.965081108092, 392.709253141346,          417.087687304886, 519.127688683826, 548.852304117203,          572.364593780768, 665.873436156202, 667.735105968645,          684.44696871476, 687.810427151548, 693.947806169754,          713.341506803306, 727.612728674946, 756.413439159233,          758.567014408204, 758.612203720747)), row.names = c("247",      "265", "738", "953", "864", "773", "393", "729", "976", "291",      "828", "330", "576", "53", "402", "684", "365", "13", "298",      "289"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.690750573945962,      0.68559506386909, 0.666646639850162, 0.551283539637675, 0.535853067005014,      0.486807686011998, 0.282722572292727, 0.22710434867278, 0.185542364279871,      0.0526937967258722, 0.0507317884817711, 0.0345851556207208,      0.0316664535178378, 0.0266390871808247, 0.0134073629528477,      0.00640912090705195, 3.35056559786928e-05, 1.41927299712249e-08,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1943619534 
R squared (OOB):                  0.1056449 

$Forests[[248]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(313000, 3e+05, 342000,      370000, 350000, 4e+05, 375000, 310000, 425000, 368000, 332000,      395888, 390000, 310000, 330000, 320000, 330000, 338000, 371000,      365000), floor_area_sqm = c(103, 94, 105, 92, 107, 100, 100,      104, 93, 100, 104, 94, 91, 104, 105, 107, 104, 103, 91, 91     ), storey_order = c(4L, 2L, 4L, 3L, 3L, 5L, 5L, 2L, 3L, 2L,      3L, 3L, 2L, 3L, 1L, 1L, 3L, 4L, 2L, 5L), remaining_lease_mths = c(823,      817, 822, 922, 910, 923, 935, 840, 1029, 937, 838, 1063,      956, 838, 909, 909, 847, 836, 957, 965), PROX_CBD = c(19.0236365771618,      18.4835571341017, 18.4174433264455, 18.2744201988815, 18.8361111070307,      18.2155576397088, 18.2155576397088, 18.6954685875173, 18.2498667293237,      18.1853912561079, 18.3394484051955, 18.1899007658477, 17.980006840849,      18.2872060948971, 18.4634083712346, 18.5552891680356, 18.238428451998,      18.1853470145009, 17.630719557776, 17.6174166659189), PROX_ELDERLYCARE = c(2.54744167947726,      2.12772209584432, 2.01990466694452, 1.91030467455468, 2.10089317294022,      1.82774218733134, 1.82774218733134, 1.96536267509963, 2.08641833813892,      1.83831888483507, 1.68689945441126, 2.0412967820292, 1.69038013517483,      1.57361264937598, 1.70649895251479, 1.77696496808422, 1.49823830734066,      1.46334015610348, 1.35614304544574, 1.58663462608392), PROX_HAWKER = c(0.905177457311038,      0.47819209562201, 0.365194571711665, 0.292675997882175, 0.811063273063077,      0.218122417644225, 0.218122417644225, 0.696312293428963,      0.574007707230075, 0.267411626133086, 0.322806547864559,      0.56403310040428, 0.32947027962251, 0.464971900021808, 0.656056303664779,      0.788681622626877, 0.548143788898404, 0.490406092071559,      0.550798352023498, 0.699652587196505), PROX_MRT = c(0.985299554465195,      0.440067919828323, 0.394110762668951, 0.25859759791353, 1.15964764660018,      0.24629140143503, 0.24629140143503, 1.06426899086337, 0.270260950193414,      0.186589372260449, 0.722989849955079, 0.225540054498686,      0.131298797620671, 0.870907467758581, 1.05945750202888, 1.18994045686449,      0.950317003394984, 0.888080533877704, 0.481509556817778,      0.430901962912929), PROX_PARK = c(0.583731630523903, 0.199823808978303,      0.305293053539538, 0.366705585759005, 0.99599902820202, 0.449638685926872,      0.449638685926872, 0.939968281858902, 0.261745107633199,      0.431621232177097, 0.845903786092674, 0.321396863181507,      0.597192139646456, 0.791043930625847, 0.707700114575514,      0.662341635279621, 0.690805332809177, 0.741201414908801,      0.706852169587072, 0.815337468455046), PROX_GOOD_PRISCH = c(8.3582852678982,      7.82005706650481, 7.75189187586876, 7.60907430161507, 8.17598486214089,      7.54917724573578, 7.54917724573578, 8.03533881462458, 7.5938744989762,      7.51998659904145, 7.67457853159282, 7.5338271442293, 7.31481473864251,      7.62743554697163, 7.80883552790736, 7.9054148179446, 7.58243576478886,      7.52724739525134, 6.96345421686322, 6.95710824587607), PROX_MALL = c(0.880738168625507,      0.482762920255867, 0.368677515727611, 0.31638525459609, 0.605524804958104,      0.249434383428027, 0.249434383428027, 0.50227152913363, 0.606938778613173,      0.304347432784639, 0.270650184250749, 0.601163950940652,      0.38257003715367, 0.369641594977131, 0.25445476080495, 0.238299753757691,      0.291730094824992, 0.362005799982455, 0.581015113036356,      0.753687860987251), PROX_CHAS = c(0.162790585292827, 0.297885151722028,      0.279695275413424, 0.258594927218762, 0.526621492045347,      0.246283235408848, 0.246283235408848, 0.387978032092424,      0.270276303087269, 0.186582621643492, 0.186439783883369,      0.225556636612455, 0.131281394661179, 0.000458346083760352,      0.163921847201363, 0.177138384703249, 0.0811018368302058,      0.11010335009361, 0.481496129777697, 0.430898255483663),          PROX_SUPERMARKET = c(0.258877921583013, 0.402675729717655,          0.3481604922123, 0.297968471640837, 0.596975645906049,          0.233030240431279, 0.233030240431279, 0.500728516827066,          0.384544806397502, 0.289364184128333, 0.279112228601587,          0.37174850741073, 0.37748716441855, 0.367596841627256,          0.25256410508494, 0.237159648524433, 0.289827711639516,          0.36017462873485, 0.432325009404537, 0.467885028141574         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 1L,          1L, 0L, 1L, 1L, 4L, 1L, 2L, 6L, 4L, 3L, 4L, 7L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 9L, 7L, 7L, 3L, 7L,          7L, 3L, 6L, 7L, 4L, 5L, 5L, 4L, 3L, 3L, 3L, 4L, 6L, 4L         ), WITHIN_350M_BUS = c(11L, 12L, 14L, 17L, 4L, 15L, 15L,          8L, 11L, 16L, 11L, 13L, 14L, 9L, 12L, 10L, 10L, 11L,          8L, 6L), WITHIN_1KM_PRISCH = c(2L, 5L, 5L, 5L, 4L, 6L,          6L, 5L, 4L, 4L, 6L, 4L, 3L, 5L, 4L, 4L, 4L, 5L, 4L, 3L         ), DNeighbour = c(0, 541.137246407595, 606.858754278315,          743.695850667512, 772.893082619408, 805.779978994542,          811.875735689569, 817.376483651977, 823.492655399178,          839.825842993462, 885.405060873399, 886.2316424741, 1039.13924936853,          1044.7592054606, 1049.31744257724, 1087.04350399392,          1146.52224037554, 1147.4176810544, 1393.33153487052,          1412.31407027161)), row.names = c("248", "774", "257",      "835", "906", "643", "571", "817", "369", "31", "693", "422",      "910", "414", "748", "169", "839", "857", "547", "220"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.727935111654921, 0.664821025994183, 0.522315339080676,      0.490720111731623, 0.454930655131928, 0.448286202247752,      0.4422897343787, 0.435622763923112, 0.417829127388879, 0.368417275145351,      0.367526567689456, 0.210352064403535, 0.205000737748493,      0.200690180404122, 0.166119714232993, 0.116263427155054,      0.115562211632147, 0.00071293332929666, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       498626203 
R squared (OOB):                  0.5896232 

$Forests[[249]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418000, 412000, 367000,      4e+05, 4e+05, 428000, 420000, 420000, 4e+05, 416000, 433000,      362000, 370000, 390000, 423888, 395000, 365000, 415000, 258000,      292000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 84, 84), storey_order = c(5L,      5L, 1L, 2L, 3L, 4L, 3L, 5L, 2L, 4L, 4L, 1L, 1L, 2L, 5L, 2L,      1L, 5L, 1L, 1L), remaining_lease_mths = c(1138, 1144, 1137,      1137, 1143, 1140, 1144, 1143, 1130, 1140, 1130, 1135, 1146,      1139, 1136, 1146, 1137, 1144, 781, 761), PROX_CBD = c(16.0903666266177,      16.0903666266177, 16.0903666266177, 16.0475930141239, 16.0475930141239,      16.1831859860721, 15.9392575628934, 16.1537572283104, 16.1976566517324,      16.055983361932, 16.055983361932, 15.9297907572658, 15.87024444961,      16.0085061296439, 15.9500375777464, 16.0046521285213, 16.0046521285213,      15.9533618390172, 16.1631400386504, 16.3662877971208), PROX_ELDERLYCARE = c(0.179967723198436,      0.179967723198436, 0.179967723198436, 0.129564145964732,      0.129564145964732, 0.0701319802482612, 0.0436662178849567,      0.0462823216560119, 9.89208662673193e-07, 0.146417557277997,      0.146417557277997, 0.0463608633689567, 0.10693627682917,      0.133825008100465, 0.0923316964070077, 0.20718686492254,      0.20718686492254, 0.251148223850536, 0.194171564025932, 0.177020457931737     ), PROX_HAWKER = c(0.9143232220583, 0.9143232220583, 0.9143232220583,      0.872301448799324, 0.872301448799324, 1.00994702859189, 0.765854363537175,      0.986028325459381, 1.03146250928298, 0.897672222950446, 0.897672222950446,      0.768716574287481, 0.694651515851724, 0.86073340068049, 0.798502368740115,      0.855932206484513, 0.855932206484513, 0.802087399746937,      1.03995728027003, 1.20613696965479), PROX_MRT = c(1.13213387762555,      1.13213387762555, 1.13213387762555, 1.14436247830993, 1.14436247830993,      1.08237519657155, 1.14464062157712, 1.02112351286352, 1.02706758196582,      0.936151237003446, 0.936151237003446, 1.23034399571509, 1.09555222562317,      1.31406230168452, 1.27956490520873, 0.883219311345816, 0.883219311345816,      0.8851452059773, 0.842728374229233, 1.07002489239586), PROX_PARK = c(0.83568858459355,      0.83568858459355, 0.83568858459355, 0.824988291997923, 0.824988291997923,      0.848434833813522, 0.777956069134633, 0.793519520304926,      0.822565203699192, 0.683762717294504, 0.683762717294504,      0.846978318526899, 0.707790886000148, 0.947603217866828,      0.8970097589344, 0.619767633008914, 0.619767633008914, 0.589052524814441,      0.707513815343702, 0.840406553837571), PROX_GOOD_PRISCH = c(6.70919168347838,      6.70919168347838, 6.70919168347838, 6.67335529701902, 6.67335529701902,      6.78038310261662, 6.57394481891556, 6.74044920052795, 6.78043949525415,      6.63421015362065, 6.63421015362065, 6.58539462985877, 6.49806658702102,      6.67823761190993, 6.61604918176311, 6.57618460349959, 6.57618460349959,      6.52939634907869, 6.70927938580052, 6.93507101526025), PROX_MALL = c(0.311149009276151,      0.311149009276151, 0.311149009276151, 0.339403259296736,      0.339403259296736, 0.241735562355662, 0.391567182053879,      0.180580587241737, 0.189710317758296, 0.118546137622893,      0.118546137622893, 0.478634609766659, 0.388975340293238,      0.528820301792356, 0.517477751202279, 0.110811660449771,      0.110811660449771, 0.161178852361569, 0.0870960802892481,      0.298590834338171), PROX_CHAS = c(0.215238065300109, 0.215238065300109,      0.215238065300109, 0.16574506375663, 0.16574506375663, 0.148113838308576,      0.0895372628546906, 0.0922372285822684, 0.0868060808909073,      0.110329053122027, 0.110329053122027, 4.95402698497433e-08,      0.140210421841136, 0.104680199868824, 0.0505118784777886,      0.114687044901222, 0.114687044901222, 0.165813590617473,      0.081875317774622, 0.209004221202181), PROX_SUPERMARKET = c(0.316789996913415,      0.316789996913415, 0.316789996913415, 0.344658205065017,      0.344658205065017, 0.247969406526707, 0.354688671920554,      0.186806037215644, 0.195853508350489, 0.123371553336512,      0.123371553336512, 0.427887094284235, 0.287679129281494,      0.525839072677995, 0.47836894165083, 0.112847248683738, 0.112847248683738,      0.162291812321236, 0.0873208554119548, 0.303085580417471),          WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L, 2L, 2L, 7L,          3L, 8L, 8L, 3L, 3L, 5L, 4L, 2L, 4L, 3L, 3L, 3L, 6L, 8L         ), WITHIN_350M_BUS = c(8L, 8L, 8L, 9L, 9L, 7L, 9L, 7L,          7L, 7L, 7L, 7L, 8L, 7L, 7L, 7L, 7L, 8L, 11L, 5L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 3L, 4L, 3L, 3L,          5L, 5L, 5L, 5L, 4L), DNeighbour = c(0, 4.73456806760071,          4.83486523889289, 47.7713678708614, 48.8671040525464,          125.793708485854, 157.689452666884, 159.672041318472,          192.36044280459, 196.032778507606, 199.602064899033,          213.668289157164, 221.495610410315, 232.15473773736,          236.227047618862, 251.203196058954, 253.74096009572,          254.509258673657, 353.79610342323, 353.83440427538)), row.names = c("249",      "919", "161", "440", "28", "661", "517", "869", "427", "538",      "741", "654", "582", "653", "912", "408", "594", "124", "872",      "687"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999641943363436,      0.999626613956475, 0.963876571716208, 0.96221656616789, 0.763191884144196,      0.642222953558197, 0.634193319614721, 0.496249365225493,      0.480328454899351, 0.464821498911605, 0.403665556591376,      0.369835140861686, 0.324350764968269, 0.307229724809263,      0.24599335748002, 0.235945308255276, 0.232925032384871, 4.68629621729533e-08,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1564865068 
R squared (OOB):                  0.2275278 

$Forests[[250]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 432000, 431000,      438000, 430000, 450000, 420000, 432000, 425000, 393000, 395000,      385000, 435000, 358000, 440000, 450000, 445000, 448000, 438000,      456500), floor_area_sqm = c(94, 92, 92, 94, 92, 94, 94, 93,      94, 93, 94, 93, 95, 93, 96, 93, 94, 96, 93, 92), storey_order = c(5L,      6L, 7L, 5L, 6L, 7L, 7L, 5L, 6L, 2L, 4L, 1L, 6L, 1L, 7L, 9L,      6L, 9L, 4L, 8L), remaining_lease_mths = c(1083, 1137, 1138,      1076, 1126, 1119, 1120, 1138, 1119, 1134, 1113, 1134, 1105,      1103, 1108, 1136, 1109, 1110, 1132, 1144), PROX_CBD = c(11.8751655684431,      11.9317097346946, 11.9317097346946, 11.9414743986494, 12.0797672032522,      12.0119641769274, 12.0119641769274, 11.7767430748854, 11.9828723130509,      11.7767430748854, 11.9744040829633, 11.6526890235784, 11.6071858552171,      11.8075546541859, 11.6053344020152, 12.1741021183779, 12.1122271384014,      11.5810624146691, 11.710716376044, 11.9527102757424), PROX_ELDERLYCARE = c(0.727329111385366,      0.680106913101551, 0.680106913101551, 0.687500817542951,      0.550577233037288, 0.673044116243487, 0.673044116243487,      0.813774711283767, 0.710325725805382, 0.813774711283767,      0.738781707341689, 0.935812608446987, 1.02315858897206, 0.922118515238085,      1.04503450829128, 0.519600844901231, 0.629785153682861, 1.05973522725621,      0.893667704764373, 0.819362766143575), PROX_HAWKER = c(0.145379780608352,      0.161367564791002, 0.161367564791002, 0.147098227142532,      0.286867197183981, 0.222580914455278, 0.222580914455278,      0.340776861445006, 0.20448046373977, 0.340776861445006, 0.217370340361849,      0.34883542271072, 0.193888136950838, 0.209140712961875, 0.210992660312359,      0.375471053349032, 0.337796349528525, 0.226379932511381,      0.445365536494089, 0.27814297307049), PROX_MRT = c(0.191731142133254,      0.214149342621172, 0.214149342621172, 0.183575431830776,      0.285059794417971, 0.201095784108649, 0.201095784108649,      0.162476645519961, 0.170867756883987, 0.162476645519961,      0.167322140356011, 0.28284034831035, 0.216093917824789, 0.120215557602138,      0.206803096961617, 0.338849049026276, 0.302747284955937,      0.233016580221366, 0.261259630709371, 0.200702114351669),          PROX_PARK = c(0.723512884628395, 0.785212145526225, 0.785212145526225,          0.807374064658721, 0.747342190235743, 0.691047645736797,          0.691047645736797, 0.615413214289157, 0.697136724289492,          0.615413214289157, 0.679906922269617, 0.489736206412745,          0.521580333579447, 0.747098338531098, 0.554363925008431,          0.612679613149166, 0.576425078157325, 0.520771390450273,          0.569724311118431, 0.643017670933737), PROX_GOOD_PRISCH = c(2.14229157607785,          2.20126444296921, 2.20126444296921, 2.21615815400514,          2.35145083667271, 2.29976812492723, 2.29976812492723,          2.03585243074848, 2.27447890050516, 2.03585243074848,          2.27223739349538, 1.91178525383739, 1.89230283405924,          2.12338877581429, 1.90056431650247, 2.45580221931744,          2.408030235171, 1.87254500118751, 1.9723226064342, 2.270018309959         ), PROX_MALL = c(0.249449426365425, 0.255684281538694,          0.255684281538694, 0.22663965361209, 0.356578632219481,          0.251262654177611, 0.251262654177611, 0.437539575450179,          0.220402811054307, 0.437539575450179, 0.214069216816763,          0.427385274755512, 0.173810560938293, 0.119447773727589,          0.158081786709397, 0.416829357908565, 0.350899017798137,          0.185878129611589, 0.535719768985538, 0.232344363503357         ), PROX_CHAS = c(0.179410689617013, 0.203726500797623,          0.203726500797623, 0.156140837156126, 0.146949814741425,          0.131248018016709, 0.131248018016709, 0.108183414657245,          0.0995919009989899, 0.108183414657245, 0.0939357367291076,          0.225869963934761, 0.173810611614792, 0.11944771257822,          0.158081821824728, 0.0461624602204791, 0.0703863092474096,          0.185878170229198, 0.215330181794506, 0.146038815472653         ), PROX_SUPERMARKET = c(0.179159947933279, 0.217804588957955,          0.217804588957955, 0.236998053946951, 0.315486318912089,          0.261515416493987, 0.261515416493987, 0.108294583955479,          0.230351837454113, 0.108294583955479, 0.22318738818849,          0.225911825558638, 0.1671684124578, 0.119571834445138,          0.148884454693003, 0.427183407476201, 0.360308355053667,          0.177355035948325, 0.215506457059651, 0.237998550380205         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 0L,          0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 6L, 6L, 6L, 5L, 6L,          6L, 3L, 6L, 3L, 7L, 3L, 4L, 4L, 4L, 7L, 7L, 4L, 2L, 5L         ), WITHIN_350M_BUS = c(6L, 8L, 8L, 8L, 9L, 6L, 6L, 4L,          7L, 4L, 10L, 4L, 6L, 10L, 8L, 5L, 7L, 7L, 2L, 12L), WITHIN_1KM_PRISCH = c(4L,          3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 4L, 3L, 4L, 3L, 3L, 3L,          3L, 3L, 3L, 4L, 3L), DNeighbour = c(0, 63.069069908412,          67.3689252041359, 105.893760934571, 213.39104918483,          232.069413097474, 233.475189987616, 243.733338548774,          244.454659931444, 245.942157040679, 272.848733499266,          294.613376248168, 296.544512729606, 331.571373964943,          334.822125410904, 337.653015297434, 344.669444248215,          345.873039585819, 353.208658815928, 356.718104886628)), row.names = c("250",      "392", "613", "781", "900", "947", "167", "325", "203", "939",      "858", "309", "922", "724", "158", "621", "607", "182", "384",      "749"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.938458083614682,      0.929937762427495, 0.831519230787385, 0.412355488376638,      0.332653448904875, 0.326747186814431, 0.284246392470986,      0.281303228311224, 0.275255149829803, 0.172182835537813,      0.101053850883973, 0.0954304301651998, 0.0185014055540287,      0.0141599932616923, 0.0108233173299739, 0.0044105529506518,      0.0035856597611212, 0.000383357210109447, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       574552421 
R squared (OOB):                  0.08999909 

$Forests[[251]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 430000, 710000,      416000, 518000, 520000, 575000, 685000, 740000, 380000, 790000,      550000, 680000, 715000, 662000, 675000, 310000, 710000, 580000,      720000), floor_area_sqm = c(84, 92, 101, 91, 93, 101, 101,      102, 95, 89, 95, 102, 95, 95, 95, 95, 83.1, 93, 90, 93),          storey_order = c(1L, 2L, 2L, 4L, 4L, 1L, 6L, 4L, 4L,          5L, 6L, 3L, 4L, 6L, 3L, 2L, 3L, 6L, 5L, 3L), remaining_lease_mths = c(783,          687, 933, 713, 736, 929, 932, 929, 954, 653, 946, 761,          1084, 1099, 1093, 1093, 613, 1084, 1035, 1143), PROX_CBD = c(4.91139217141794,          5.17330173892321, 4.27954241101507, 5.10609859014938,          4.29040868967057, 4.23995407977096, 5.56255806753875,          4.15915934561343, 4.09909964212454, 4.19301197437796,          4.0690703028165, 6.04257091454572, 6.04001281876484,          6.06656257116635, 6.11286474740545, 6.15852201326599,          5.99387263807515, 6.17931132662417, 3.73787601157873,          6.10189119169168), PROX_ELDERLYCARE = c(0.53976690699019,          0.151830290872251, 1.2084977158608, 0.320090253923576,          1.28169673214061, 1.29004325258708, 0.0599829320550621,          1.31127122179184, 1.44919747885979, 1.05465194719342,          1.5676876481467, 0.548656319889636, 0.545921172841312,          0.516985202466339, 0.471592353212743, 0.428116600598184,          0.103488744511564, 0.411122241220865, 0.836612932336762,          0.230112759455232), PROX_HAWKER = c(0.526793317066312,          0.261285820740611, 0.32780610994166, 0.333568708255903,          0.224814451985556, 0.242979724501726, 0.248163252655802,          0.296724849746491, 0.17841116959893, 0.297392426102438,          0.124697776657811, 0.19523132016882, 0.0606577495598573,          0.0900485470251793, 0.0855319563513606, 0.104458461300263,          0.131941483902414, 0.114709112077857, 0.15676751515481,          0.193610514045812), PROX_MRT = c(0.348715950460643, 0.568944969773001,          0.45128979061194, 0.549226257235714, 0.386818680985449,          0.369514902074349, 0.389634730949481, 0.361454140857751,          0.212082976996148, 0.670866804568908, 0.103251860461982,          0.448203274012385, 0.53617676606472, 0.530436532640755,          0.576684647572531, 0.567634817298681, 0.422927302226303,          0.54480998513683, 0.349678715281184, 0.385901790532203         ), PROX_PARK = c(0.454973393404149, 0.375618223612072,          0.496161896442625, 0.534309547143458, 0.41256712340984,          0.410157320226128, 0.136342453682232, 0.424082148410156,          0.271559050503854, 1.34668044149268, 0.13380185088312,          0.651264615899835, 0.524571131123829, 0.548254609843109,          0.517760851715104, 0.487498062645995, 0.775542593632535,          0.461766774013401, 1.14436990313984, 0.835974869985028         ), PROX_GOOD_PRISCH = c(3.07957394860643, 3.5160560831601,          3.1984009939005, 3.68539306501406, 3.11124078456354,          3.17375518133788, 3.30515733544794, 3.27316539077024,          3.22696055518642, 4.04417128338034, 3.17062142916436,          2.14268529299874, 2.00925132829891, 2.03651743937875,          2.00772186702724, 1.97696478280336, 3.79476022833587,          1.95037752635058, 4.42346384619917, 3.72727940395598),          PROX_MALL = c(0.779372162435287, 0.96360119165526, 1.15459749844864,          1.13513631747826, 1.14104925826379, 1.09860538958518,          0.719385659919303, 1.03381347643634, 0.944512912155433,          1.51326780463499, 0.898524741072254, 0.264532440460292,          0.387042201482337, 0.365617038961166, 0.403935094648282,          0.446404896609829, 1.29238059557114, 0.476611693189829,          1.03774509228272, 1.26544404340832), PROX_CHAS = c(0.297280152993809,          0.213267381067323, 0.151798893835737, 0.37199840586913,          0.0683025043642396, 0.128246501394164, 0.174009235365936,          0.22718451096924, 0.199996678091121, 0.212246176955017,          0.162166521351491, 0.12619956254809, 0.134421273847083,          0.0929349198733403, 0.0679258481743644, 0.0766942583569258,          3.57955945681819e-08, 0.10259225576309, 0.0809467071188201,          0.131092152612185), PROX_SUPERMARKET = c(0.212061147632098,          0.266791583668656, 0.314587216673928, 0.424647979009491,          0.200251285306447, 0.23908756643158, 0.173881454941229,          0.31622643534726, 0.232527384837024, 0.306178228663922,          0.209119590970966, 0.178930757423705, 0.0393286469640316,          0.0785030623714358, 0.0895469396191502, 0.11965836137487,          0.147638600898363, 0.134806953278168, 0.184584314799668,          0.0250108723026275), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 3L, 0L, 3L, 4L, 1L, 4L, 5L, 0L, 4L, 0L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 4L,          2L, 4L, 2L, 4L, 4L, 10L, 9L, 1L, 8L, 4L, 4L, 3L, 3L,          3L, 2L, 3L, 3L, 2L), WITHIN_350M_BUS = c(7L, 4L, 2L,          4L, 4L, 4L, 2L, 4L, 8L, 5L, 5L, 7L, 8L, 8L, 6L, 6L, 6L,          6L, 7L, 9L), WITHIN_1KM_PRISCH = c(2L, 3L, 2L, 3L, 2L,          2L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 0L,          2L), DNeighbour = c(0, 617.061370454363, 711.13111295378,          736.923673336436, 765.051482034637, 790.256846793398,          793.481680591524, 829.107184878689, 949.52838422758,          1016.73233145906, 1059.9320077201, 1255.68403621571,          1305.64674014241, 1322.05783260888, 1361.1651058182,          1416.28441076364, 1438.26828241922, 1446.16324625318,          1480.9027081483, 1482.84447115025)), row.names = c("251",      "270", "767", "853", "286", "145", "596", "763", "784", "993",      "575", "453", "930", "297", "536", "23", "752", "756", "823",      "812"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.683652558589992,      0.592916050618517, 0.567045950083501, 0.53847857256907, 0.512630725174077,      0.509310046126482, 0.472478009471606, 0.34805450167844, 0.280757515340365,      0.239185545315397, 0.0800419216229048, 0.0504978007200792,      0.0420681080741158, 0.0247692907868569, 0.00770158389588742,      0.00350687349605014, 0.00238751595382219, 6.8500279269867e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12363531039 
R squared (OOB):                  0.3877002 

$Forests[[252]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 417000, 363000,      388000, 340888, 355000, 392000, 333000, 415000, 375000, 343000,      355000, 385000, 365000, 320000, 3e+05, 335000, 320000, 345000,      315000), floor_area_sqm = c(114, 92, 104, 104, 107, 104,      113, 108, 104, 108, 107, 106, 104, 104, 91, 106, 105, 106,      114, 90), storey_order = c(3L, 2L, 5L, 6L, 4L, 4L, 2L, 4L,      2L, 2L, 2L, 1L, 1L, 2L, 8L, 2L, 2L, 1L, 2L, 5L), remaining_lease_mths = c(904,      1120, 918, 904, 883, 882, 933, 895, 875, 909, 907, 825, 863,      828, 995, 941, 938, 851, 839, 1001), PROX_CBD = c(16.3642048862006,      16.7161737209409, 16.295166477654, 16.3777502460772, 16.7669966667855,      16.7669966667855, 16.6579104452557, 16.5397910410307, 15.8781143296649,      16.9875722318911, 17.2160129653012, 15.6983328737326, 16.2492480828887,      15.6198573118901, 16.7093180086981, 17.3741762112269, 17.3741762112269,      15.9983120826665, 15.4582319270764, 16.8082045368238), PROX_ELDERLYCARE = c(0.361422596457277,      9.26628957858198e-07, 0.514795208711411, 0.465083314136851,      0.121542639162494, 0.121542639162494, 0.409372351007212,      0.706939892416911, 0.633288957745621, 0.636322412867891,      0.574386357445605, 0.587171684565488, 0.836071823435323,      0.497975502399054, 0.935779967581661, 0.815153211361198,      0.815153211361198, 0.541237256511776, 0.319622441582349,      1.15380285023885), PROX_HAWKER = c(1.67761333691466, 1.96687058888139,      1.47281657351752, 1.54627052523026, 2.05474291859885, 2.05474291859885,      1.80129318596364, 2.14655926815246, 1.79301822351461, 2.10596394293278,      2.37357884684332, 1.64071314431986, 2.17952287051713, 1.6566914426712,      1.82495077083007, 2.50067722531469, 2.50067722531469, 2.1818192257633,      1.7245004017694, 1.94950915107796), PROX_MRT = c(0.653367521351592,      0.427108887982576, 0.504795745143921, 0.419412974707088,      0.53300655679357, 0.53300655679357, 0.128609360773056, 0.460645764817668,      0.159697283923578, 0.252669932820992, 0.453815632281196,      0.341199960643831, 0.290093838525113, 0.297714051615291,      0.522077155701705, 0.590831178240684, 0.590831178240684,      0.364450998520493, 0.233994550027949, 0.730447684580082),          PROX_PARK = c(0.32735774848914, 0.688779163701323, 0.48638578612152,          0.571339732684777, 0.722711239268322, 0.722711239268322,          0.826869373992433, 0.711243459523284, 0.678969217742802,          1.18807543108152, 1.24959985284921, 0.686441032296595,          0.886796559947336, 0.782164021798725, 1.17885821480356,          1.47164498360674, 1.47164498360674, 1.05372411430502,          0.998254167239372, 1.39545287332227), PROX_GOOD_PRISCH = c(6.76031366250815,          7.12110535783693, 6.80828229467371, 6.89348817522951,          7.13952904562396, 7.13952904562396, 7.18541951227303,          6.77397603493671, 6.09357654169244, 7.55033959010056,          7.68034428555912, 5.93514971647738, 6.4097782056775,          5.84268664292306, 7.40748446052123, 7.888904100652, 7.888904100652,          6.12314921566155, 5.64801716169655, 7.5739079893598),          PROX_MALL = c(0.388175183991252, 0.337595745740984, 0.510483215269896,          0.427317836890542, 0.27529824968273, 0.27529824968273,          0.168053149288668, 0.345326846187852, 0.145699923430919,          0.165557901737932, 0.413606644895247, 0.310729806849059,          0.355568776497803, 0.394873468760787, 0.484270435079706,          0.521008948961951, 0.521008948961951, 0.45623102577182,          0.455554164929496, 0.677813655888015), PROX_CHAS = c(0.380772978950647,          0.279591917356114, 0.513107963149175, 0.429996386722335,          0.222759343861358, 0.222759343861358, 0.170995488718356,          0.286223989121013, 0.0723222156351423, 0.194474796894964,          0.303266380929536, 0.261893114523038, 0.121251060497272,          0.28481487293308, 0.52365796939069, 0.524369302913132,          0.524369302913132, 0.290215734280461, 0.158017550603297,          0.71936188995133), PROX_SUPERMARKET = c(0.422789252098693,          0.344537051235884, 0.471223408024363, 0.386156989530241,          0.243987988302975, 0.243987988302975, 0.103652200866821,          0.377165028023417, 0.157892159590583, 0.284398337107734,          0.387759857324111, 0.322774913149109, 0.350013224352412,          0.407244625741832, 0.555366708418936, 0.559408220033625,          0.559408220033625, 0.162067612034701, 0.387973705585917,          0.768274584157999), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 0L, 2L, 2L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(4L, 6L,          3L, 3L, 5L, 5L, 5L, 1L, 3L, 4L, 5L, 4L, 4L, 3L, 1L, 4L,          4L, 6L, 8L, 1L), WITHIN_350M_BUS = c(6L, 12L, 7L, 8L,          11L, 11L, 9L, 2L, 7L, 11L, 5L, 8L, 9L, 9L, 8L, 2L, 2L,          12L, 14L, 9L), WITHIN_1KM_PRISCH = c(3L, 4L, 3L, 4L,          3L, 3L, 4L, 3L, 3L, 4L, 4L, 3L, 3L, 3L, 3L, 4L, 4L, 3L,          3L, 2L), DNeighbour = c(0, 365.292903336252, 380.447874547716,          391.245326124464, 404.721656455346, 405.048560019051,          560.394701153415, 622.278205155783, 888.387352491677,          901.377257212741, 922.784658848403, 950.89036225418,          954.115089460289, 1047.70129067041, 1065.21748387539,          1154.58885179351, 1156.58769501156, 1202.6726773103,          1273.00753572515, 1293.16548120219)), row.names = c("252",      "261", "451", "820", "673", "898", "918", "498", "510", "125",      "326", "196", "711", "304", "156", "813", "822", "888", "383",      "121"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.846777720691057,      0.834385424676108, 0.825307533307018, 0.813694104544206,      0.813408545631307, 0.659679906226066, 0.5905021369556, 0.27883618614925,      0.264347026241986, 0.240879886819137, 0.210960704445795,      0.207599680890517, 0.118062851645959, 0.103343652530791,      0.0411433102129255, 0.0400302574469984, 0.0182408266865751,      0.000956859090422599, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1055206941 
R squared (OOB):                  0.005887268 

$Forests[[253]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(280000, 398000, 3e+05,      365000, 355000, 380000, 308000, 310000, 375000, 350000, 395000,      295000, 380000, 355000, 380000, 412000, 390000, 418000, 368000,      350000), floor_area_sqm = c(84, 104, 85, 103, 104, 108, 84,      84, 104, 93, 93, 83, 92, 104, 93, 92, 92, 104, 92, 92), storey_order = c(4L,      3L, 4L, 4L, 2L, 2L, 1L, 2L, 1L, 1L, 4L, 1L, 2L, 4L, 3L, 3L,      4L, 1L, 2L, 1L), remaining_lease_mths = c(809, 823, 798,      805, 785, 807, 779, 787, 808, 1111, 1108, 812, 1142, 814,      1110, 1128, 1142, 794, 1100, 1111), PROX_CBD = c(14.5514247745221,      14.4215550437188, 14.6468242567931, 14.5082496767788, 14.7946380504301,      14.3069689320192, 14.8104288104214, 14.7686155241139, 14.2674761918172,      14.6221320584002, 14.6649260398624, 14.136177090114, 14.4940333615496,      14.9797222810306, 14.607628567626, 14.5596883563906, 14.5596883563906,      14.6249352309891, 14.9752079088984, 14.8482953663728), PROX_ELDERLYCARE = c(0.934928905143492,      0.933706769700102, 0.791783477476035, 1.0960579077266, 1.02543356664281,      1.30284795398611, 1.14385816982861, 1.18091019396193, 1.37520258101488,      0.410896008057539, 0.374463671675583, 1.52241617566094, 0.500918112427577,      1.40865121451131, 0.363539264939185, 0.399519357429504, 0.399519357429504,      1.66362706878828, 0.199763345782594, 0.157028625587627),          PROX_HAWKER = c(0.920905853639359, 0.964097104531415,          0.771377618176498, 1.06968967826483, 0.927587772885235,          1.30042856091519, 1.03493347869974, 1.07995965555937,          1.3725902814614, 0.55845452984231, 0.515424723672587,          1.5304212921709, 0.682637638745144, 1.17708155532767,          0.571839614015762, 0.625641729464286, 0.625641729464286,          1.46189875323845, 0.202333554334061, 0.332945546865787         ), PROX_MRT = c(0.702240402731505, 0.766580328668093,          0.834242720427877, 0.541381135472874, 0.635923545376501,          0.431073100471927, 0.547659244513397, 0.495669019430354,          0.392323251912074, 1.30119397664661, 1.31347134818138,          0.407136749273107, 1.32800225952209, 0.541117453484526,          1.42703012637354, 1.46473462254762, 1.46473462254762,          0.177135615746217, 1.27457972333389, 1.41585626072206         ), PROX_PARK = c(0.717751277212032, 0.786856267919922,          0.572284771964545, 0.854937524579578, 0.687013904416796,          0.87843358408359, 0.79060261488636, 0.837021679605882,          0.808406007535371, 0.524601749565547, 0.48594234877488,          0.646645557650639, 0.65941869562705, 0.869949400509587,          0.592644125813336, 0.656743209310805, 0.656743209310805,          0.967683324465338, 0.259935562114549, 0.40224168015695         ), PROX_GOOD_PRISCH = c(5.05486565817651, 4.94298421634201,          5.17213285521296, 4.9821455258424, 5.2635668385575, 4.7599521059868,          5.2589313064801, 5.21242267662931, 4.71060068854172,          5.26427170666348, 5.30673314037113, 4.56541244462189,          5.15263130971644, 5.38873705701154, 5.28617698570013,          5.25302892838613, 5.25302892838613, 5.00900650468442,          5.6171537261999, 5.51627049340211), PROX_MALL = c(0.264439990658005,          0.158055972255249, 0.253080993480643, 0.395836928017505,          0.540570027720398, 0.530519583310388, 0.641907311269237,          0.644074766251318, 0.598720745421956, 0.412850725186958,          0.439421746266814, 0.730402721918488, 0.407798057490129,          0.857174016474006, 0.523782484457491, 0.550646738699849,          0.550646738699849, 1.02277508016934, 0.689421511186311,          0.649229394533883), PROX_CHAS = c(0.0412741280494288,          0.110909163864147, 0.118994056415591, 0.111998728732921,          0.151656769473437, 0.141608811196257, 0.273160540123658,          0.305551557127515, 0.0989632897848068, 0.0938393111767789,          0.0969357032130768, 0.0978085819739089, 0.0559452214520875,          0.0593781975043205, 0.198893245072118, 0.19650938121062,          0.19650938121062, 0.253202817693943, 0.230775629929228,          0.274130336331615), PROX_SUPERMARKET = c(0.259076961683863,          0.155031856949385, 0.246822057901315, 0.321173728185784,          0.505826018716947, 0.179396317901182, 0.406551385550075,          0.397697747354111, 0.13781747249929, 0.0938384818523742,          0.0969351949685631, 0.152757697669253, 0.202112654374605,          0.101389584423307, 0.223766299699327, 0.27843134046436,          0.27843134046436, 0.177136085505812, 0.264202614673064,          0.296829834724774), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 1L, 2L, 1L, 1L, 3L, 1L, 1L, 3L, 0L, 0L, 0L,          0L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 3L,          5L, 4L, 5L, 7L, 2L, 3L, 7L, 6L, 6L, 7L, 4L, 3L, 4L, 3L,          3L, 1L, 4L, 5L), WITHIN_350M_BUS = c(7L, 10L, 9L, 8L,          8L, 7L, 7L, 8L, 6L, 9L, 8L, 7L, 9L, 10L, 7L, 7L, 7L,          9L, 9L, 9L), WITHIN_1KM_PRISCH = c(2L, 2L, 3L, 3L, 3L,          3L, 4L, 3L, 3L, 4L, 4L, 3L, 3L, 4L, 4L, 4L, 4L, 2L, 3L,          4L), DNeighbour = c(0, 147.226844499294, 149.747881880778,          158.917726985757, 292.73670751537, 374.928117228974,          380.728764157347, 383.354204123294, 450.947688776309,          601.164178680267, 609.118403743491, 609.538998213168,          641.64374451324, 689.278240573817, 722.975906135093,          765.915793944037, 770.832606210521, 774.60924983051,          777.398001325438, 785.568811904452)), row.names = c("253",      "546", "862", "884", "424", "341", "396", "101", "377", "324",      "17", "665", "702", "984", "452", "961", "163", "30", "558",      "762"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.930985449820725,      0.92864575811815, 0.91982710866456, 0.741557286236137, 0.596314034495777,      0.585394649384243, 0.580430955919202, 0.449541308297133,      0.17170874744737, 0.159023768952387, 0.15836203223725, 0.110793240915164,      0.0529571450493933, 0.023411523253188, 0.00244127391868096,      0.00138126705453596, 0.000767711070039653, 0.000428245557177662,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1678947609 
R squared (OOB):                  -0.03688598 

$Forests[[254]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 360000, 380000,      448000, 440000, 435000, 415000, 365000, 441000, 358000, 456500,      395000, 418000, 415000, 460000, 425000, 420000, 440000, 425000,      436000), floor_area_sqm = c(92, 94, 94, 96, 96, 95, 94, 94,      93, 93, 92, 94, 92, 92, 92, 94, 92, 92, 94, 92), storey_order = c(2L,      1L, 1L, 9L, 7L, 6L, 6L, 1L, 6L, 1L, 8L, 4L, 6L, 8L, 7L, 6L,      6L, 5L, 5L, 7L), remaining_lease_mths = c(1009, 1096, 1107,      1110, 1108, 1105, 1120, 1095, 1097, 1103, 1144, 1113, 1129,      1140, 1125, 1119, 1142, 1124, 1083, 1139), PROX_CBD = c(11.3397363359505,      11.6781560559471, 11.6781560559471, 11.5810624146691, 11.6053344020152,      11.6071858552171, 11.7484946081343, 11.7965908296893, 11.8078122246038,      11.8075546541859, 11.9527102757424, 11.9744040829633, 12.02897658153,      12.02897658153, 12.02897658153, 11.9828723130509, 12.02897658153,      12.0234479092478, 11.8751655684431, 12.042332185553), PROX_ELDERLYCARE = c(1.39271535621019,      1.09658820367145, 1.09658820367145, 1.05973522725621, 1.04503450829128,      1.02315858897206, 1.16050252277995, 1.00802268588986, 0.95260617550949,      0.922118515238085, 0.819362766143575, 0.738781707341689,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.710325725805382, 0.841755023464642, 0.938035651111226,      0.727329111385366, 0.786890441142101), PROX_HAWKER = c(0.570701345451429,      0.34952328079698, 0.34952328079698, 0.226379932511381, 0.210992660312359,      0.193888136950838, 0.512143004921159, 0.337854809554552,      0.262687630178652, 0.209140712961875, 0.27814297307049, 0.217370340361849,      0.409616357379742, 0.409616357379742, 0.409616357379742,      0.20448046373977, 0.409616357379742, 0.507473565259923, 0.145379780608352,      0.369655971945997), PROX_MRT = c(0.534489810386183, 0.274140861026222,      0.274140861026222, 0.233016580221366, 0.206803096961617,      0.216093917824789, 0.425815084561206, 0.249549573241666,      0.173777829752023, 0.120215557602138, 0.200702114351669,      0.167322140356011, 0.331072457322778, 0.331072457322778,      0.331072457322778, 0.170867756883987, 0.331072457322778,      0.394231498000209, 0.191731142133254, 0.298263347673859),          PROX_PARK = c(0.290298216204727, 0.620391651843957, 0.620391651843957,          0.520771390450273, 0.554363925008431, 0.521580333579447,          0.660489483199184, 0.739061594864021, 0.746013140888617,          0.747098338531098, 0.643017670933737, 0.679906922269617,          0.529446955515876, 0.529446955515876, 0.529446955515876,          0.697136724289492, 0.529446955515876, 0.506408767470305,          0.723512884628395, 0.542226246468638), PROX_GOOD_PRISCH = c(1.70706505143727,          2.02616945457316, 2.02616945457316, 1.87254500118751,          1.90056431650247, 1.89230283405924, 2.14657014261275,          2.14271827973834, 2.13533890725473, 2.12338877581429,          2.270018309959, 2.27223739349538, 2.36775586018775, 2.36775586018775,          2.36775586018775, 2.27447890050516, 2.36775586018775,          2.39172047379238, 2.14229157607785, 2.36724315061599),          PROX_MALL = c(0.459056401007768, 0.244599870232268, 0.244599870232268,          0.185878129611589, 0.158081786709397, 0.173810560938293,          0.411213390710639, 0.241737870027575, 0.17025857997445,          0.119447773727589, 0.232344363503357, 0.214069216816763,          0.358721564938295, 0.358721564938295, 0.358721564938295,          0.220402811054307, 0.358721564938295, 0.441394824612777,          0.249449426365425, 0.332547569579886), PROX_CHAS = c(0.111613351644546,          0.163903281406512, 0.163903281406512, 0.185878170229198,          0.158081821824728, 0.173810611614792, 0.0876622280470988,          0.101692541492014, 0.170258520163124, 0.11944771257822,          0.146038815472653, 0.0939357367291076, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.0995919009989899,          0.25157977989641, 0.223839041128234, 0.179410689617013,          0.236223262451169), PROX_SUPERMARKET = c(0.440050810323431,          0.19333058996533, 0.19333058996533, 0.177355035948325,          0.148884454693003, 0.1671684124578, 1.21715176356525e-07,          0.17897337633635, 0.168966076328732, 0.119571834445138,          0.237998550380205, 0.22318738818849, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.230351837454113,          0.314501000490003, 0.244018176385425, 0.179159947933279,          0.33849828517841), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(1L, 2L, 2L,          4L, 4L, 4L, 2L, 3L, 4L, 4L, 5L, 7L, 4L, 4L, 4L, 6L, 4L,          2L, 7L, 4L), WITHIN_350M_BUS = c(9L, 9L, 9L, 7L, 8L,          6L, 11L, 9L, 11L, 10L, 12L, 10L, 11L, 11L, 11L, 7L, 11L,          10L, 6L, 10L), WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 3L,          3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          4L, 3L), DNeighbour = c(0, 343.980248028642, 345.790848399859,          366.529897223458, 370.76153088221, 419.228300698009,          444.278062701593, 463.972703163296, 479.650705156884,          494.8069290347, 622.708726995466, 675.821308607869, 688.686725244103,          692.135845505239, 692.74615194461, 693.74079048599, 694.622417488205,          696.643241649125, 704.072676078748, 705.441750664243)), row.names = c("254",      "954", "644", "182", "158", "922", "441", "41", "439", "724",      "749", "858", "700", "287", "874", "203", "318", "502", "250",      "573"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.5810048934366,      0.57718536594604, 0.532961058849173, 0.523846537804324, 0.418394244134764,      0.364053306564348, 0.32196985774345, 0.289116753797294, 0.258082273206574,      0.0487537159163255, 0.00675913667880409, 0.00220318588801044,      0.00139635572619407, 0.00127230963817236, 0.00108229865932561,      0.000926514529886218, 0.000614500458317081, 1.50365648233231e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       888767353 
R squared (OOB):                  0.3779907 

$Forests[[255]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(562000, 462000, 540000,      333000, 388800, 350000, 380000, 3e+05, 335000, 390000, 340000,      398000, 390000, 415000, 4e+05, 423800, 680000, 660000, 450000,      390000), floor_area_sqm = c(107, 105, 107, 89, 98, 92, 92,      92, 83, 92, 92, 92, 102, 104, 91, 104, 87, 87, 105, 92),          storey_order = c(7L, 1L, 6L, 1L, 2L, 4L, 4L, 2L, 3L,          1L, 1L, 3L, 2L, 2L, 1L, 2L, 6L, 3L, 2L, 1L), remaining_lease_mths = c(957,          965, 969, 692, 697, 688, 693, 691, 687, 685, 699, 714,          763, 760, 783, 756, 1076, 1066, 757, 711), PROX_CBD = c(10.9472701195372,          10.9320040827019, 11.0486323727393, 10.7178846249378,          10.7178846249378, 10.7428660694501, 10.7273754880637,          10.7273754880637, 10.5501175985891, 10.3184291669162,          9.97016469840266, 9.95525560808738, 11.6387779682198,          11.6914583773846, 11.4963900230166, 11.7174653186763,          10.1126951054664, 10.1126951054664, 11.4573592114175,          9.71066487891121), PROX_ELDERLYCARE = c(0.867518349265545,          0.83761180429981, 0.974567200018427, 0.903749132751209,          0.903749132751209, 1.00386291289403, 0.968089576161562,          0.968089576161562, 0.724362239545807, 0.724299376510179,          0.14040561650552, 0.150508443509651, 0.792216801753581,          0.736997311630605, 0.672630859926948, 0.74375074589335,          0.511544492658224, 0.511544492658224, 0.52883250894194,          0.385358274245319), PROX_HAWKER = c(0.429153921265228,          0.499252912381913, 0.436692566666558, 0.131164348467149,          0.131164348467149, 0.19921426515349, 0.259491073356982,          0.259491073356982, 0.496328097640832, 0.285348407142059,          0.15909114400288, 0.153089379504462, 0.61454926069889,          0.558671781535233, 0.804785607263954, 0.5637831570093,          0.268370020499938, 0.268370020499938, 0.848364442784946,          0.39402887106119), PROX_MRT = c(0.638393210693291, 0.582189406643083,          0.741783227751877, 0.897030842789514, 0.897030842789514,          0.911557541227745, 0.880392787161762, 0.880392787161762,          0.92637591011884, 0.752281430413819, 0.494111782173202,          0.521845664201362, 0.0844107562606101, 0.140110279979828,          0.132306565433056, 0.162940637784707, 0.549740095282867,          0.549740095282867, 0.275269590424193, 0.746020760246364         ), PROX_PARK = c(0.730900012581548, 0.802226928628916,          0.644279497097323, 0.68415716278098, 0.68415716278098,          0.65460215425144, 0.675703893946554, 0.675703893946554,          0.888350706343443, 1.05219739289641, 0.68588072489708,          0.730503149795042, 1.51709061898346, 1.50772581466401,          1.41209410927924, 1.5229705853841, 0.878497256111703,          0.878497256111703, 1.3775538710324, 0.914740437498633         ), PROX_GOOD_PRISCH = c(1.50789829567152, 1.4460454342776,          1.50173151878208, 1.69245386393467, 1.69245386393467,          1.57772010642862, 1.51964159199475, 1.51964159199475,          1.37609088117382, 1.54472866778257, 1.97396491196204,          2.01039924795066, 0.453346371612442, 0.476923220580037,          0.364349890680966, 0.440184840714675, 1.46177539101005,          1.46177539101005, 0.277148461253506, 2.31351362539819         ), PROX_MALL = c(1.34630282297423, 1.37776203899083,          1.41292867182356, 0.922177591154216, 0.922177591154216,          0.913300066979642, 0.885934538444454, 0.885934538444454,          0.693136328895784, 0.472532088410597, 0.802483711672914,          0.757457219803541, 0.815834004295584, 0.797799046209296,          0.844787863205902, 0.750703947848918, 0.269774803261538,          0.269774803261538, 0.815329638117364, 0.505770857705003         ), PROX_CHAS = c(0.344403926608958, 0.293630149165848,          0.375455350402476, 0.141741960002869, 0.141741960002869,          0.184868017131885, 0.161497017697243, 0.161497017697243,          0.120595382532287, 0.165961529218061, 0.187394625423847,          0.144412947448491, 0.0804697697946077, 0.0474151678735614,          0.0697008731150885, 4.64133788220832e-08, 0.20472250196774,          0.20472250196774, 0.179820414455961, 0.255589678637005         ), PROX_SUPERMARKET = c(0.381194313170787, 0.445162931243089,          0.408205375796458, 0.141741503991008, 0.141741503991008,          0.247977273863763, 0.294310303883692, 0.294310303883692,          0.448117335537485, 0.447507928623339, 0.215556112381702,          0.204623167766534, 0.596048194106483, 0.635527990773791,          0.441950593919319, 0.609798994765399, 0.35798039621586,          0.35798039621586, 0.301981775400679, 0.363062686357781         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 2L, 2L,          2L, 2L, 2L, 1L, 2L, 2L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(0L, 0L, 0L, 4L, 4L, 3L,          3L, 3L, 2L, 4L, 3L, 3L, 3L, 3L, 2L, 3L, 6L, 6L, 4L, 2L         ), WITHIN_350M_BUS = c(2L, 0L, 2L, 6L, 6L, 5L, 4L, 4L,          6L, 7L, 9L, 9L, 6L, 6L, 8L, 5L, 6L, 6L, 7L, 13L), WITHIN_1KM_PRISCH = c(4L,          4L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 4L), DNeighbour = c(0, 78.1675569921705,          101.555068250491, 525.043526294823, 532.332394326171,          625.185407620306, 686.606322577995, 691.319701653524,          915.479323249255, 940.786941671353, 1014.62762889859,          1021.45971385637, 1126.40281662919, 1137.4776297047,          1141.27290368822, 1184.85720294369, 1218.17253414182,          1227.70408723726, 1243.75421380181, 1246.84877581752)), row.names = c("255",      "671", "630", "914", "429", "43", "651", "648", "778", "97",      "211", "971", "522", "274", "151", "941", "316", "506", "843",      "776"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.992154850681517,      0.986776004763217, 0.676798803710367, 0.668666544556434,      0.560380443724122, 0.48547299706674, 0.479668837940158, 0.212428602287678,      0.185486894926627, 0.114112316096323, 0.108147074494376,      0.0338077990338684, 0.0281372604333067, 0.0263019001573607,      0.00940226101501383, 0.00206742939559686, 0.000928613411010066,      2.4578323618553e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7939541733 
R squared (OOB):                  0.2725121 

$Forests[[256]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 460000, 365000,      350000, 320000, 395000, 428000, 345000, 335000, 306000, 316000,      304000, 342000, 355000, 358888, 330000, 345888, 320000, 312000,      4e+05), floor_area_sqm = c(104, 105, 105, 106, 104, 107,      98, 92, 90, 109, 104, 104, 94, 94, 91, 107, 104, 104, 107,      97), storey_order = c(4L, 4L, 2L, 2L, 2L, 2L, 3L, 2L, 1L,      1L, 1L, 2L, 1L, 1L, 3L, 3L, 4L, 2L, 1L, 1L), remaining_lease_mths = c(774,      770, 771, 781, 772, 755, 730, 742, 731, 773, 777, 776, 747,      1071, 763, 776, 763, 779, 779, 734), PROX_CBD = c(15.0460728336845,      15.1689870500438, 14.8222691165004, 15.2518600651656, 16.0390890659677,      15.936744569076, 14.0949321583848, 13.8901285505698, 13.8901285505698,      16.2343575305192, 13.8730731524118, 13.8730731524118, 13.7770670669378,      15.3735649652411, 13.6826822978472, 16.4773488158513, 16.5598581376431,      16.6890813896757, 16.6890813896757, 13.4040436118709), PROX_ELDERLYCARE = c(0.0734543941007858,      0.235447740717014, 0.151522520392741, 0.341160576506438,      0.520751571920202, 0.526555480516014, 1.07365166923746, 0.540311266279695,      0.540311266279695, 0.63095091801206, 0.192118066579221, 0.192118066579221,      0.919307603677702, 0.0572763643156628, 0.000158780971194199,      0.393080972860029, 0.633922933695123, 0.296144426041885,      0.296144426041885, 0.954835536666776), PROX_HAWKER = c(0.321243604465073,      0.493984449855749, 0.189112683951821, 0.711147803357143,      0.601123999453785, 0.44834457013621, 0.516176882783883, 0.213123049695643,      0.213123049695643, 0.355821892612055, 0.635045114374877,      0.635045114374877, 0.478671478091809, 0.371848396937832,      0.699744847940348, 0.170796598263111, 0.402483389428837,      0.360513691606501, 0.360513691606501, 0.780321580506598),          PROX_MRT = c(0.667161579318597, 0.840089990200814, 0.506610369321483,          1.05589835680014, 0.965829261077996, 0.239432195714991,          0.499812381699912, 0.793013171832836, 0.793013171832836,          0.864165890870668, 0.865482366580506, 0.865482366580506,          0.771349314593772, 0.753708157385654, 0.751023886560838,          0.826410504821953, 1.05011238745279, 0.937471590679814,          0.937471590679814, 0.515309591544804), PROX_PARK = c(1.32178658469093,          1.48925201971724, 1.20591145519053, 1.72109509304533,          1.48305338833506, 0.747611444367071, 0.62523741493865,          1.23128896715218, 1.23128896715218, 1.34373269803231,          1.73324375775577, 1.73324375775577, 0.941140572803456,          0.535685352466539, 1.77145949687945, 1.2054653508424,          1.45762221914422, 1.20981147430356, 1.20981147430356,          1.22140134317452), PROX_GOOD_PRISCH = c(4.66454637236311,          4.81784539373378, 4.44405903659268, 4.96507368960908,          5.64743379607767, 5.39194564581962, 3.57828936266804,          3.56420611596829, 3.56420611596829, 5.7932792467937,          3.76914808697313, 3.76914808697313, 3.3146343023011,          4.72825571795328, 3.58938982364218, 5.97835326648125,          6.10793998843997, 6.16175607197734, 6.16175607197734,          2.95770979509606), PROX_MALL = c(1.83033637772351, 1.93173107331603,          1.74752862756084, 2.06076738363197, 1.36185056241102,          0.942416713928675, 0.812049880186, 1.05377974643614,          1.05377974643614, 1.10378372306907, 0.861712986146148,          0.861712986146148, 0.672803550263317, 0.408391974099547,          0.770100764029299, 0.76724723438711, 0.973625110866692,          0.571849863617429, 0.571849863617429, 0.412160376682232         ), PROX_CHAS = c(0.0544168696099871, 0.22714457633909,          0.191193294854487, 0.453299264887269, 0.205355834952608,          0.145251548786172, 0.135156069731972, 0.0812638133573676,          0.0812638133573676, 0.289709096170644, 0.0967538959757692,          0.0967538959757692, 0.0886717393158711, 0.289984207596008,          0.110149755252424, 0.09463300161804, 0.306725496117186,          0.332465298200207, 0.332465298200207, 0.240863562772424         ), PROX_SUPERMARKET = c(0.286721618184596, 0.459690883388295,          0.188017328828043, 0.644027759940317, 0.352842931529878,          0.434198104817495, 0.352618767904154, 0.082811926566736,          0.082811926566736, 0.132128014198024, 0.094684564379848,          0.094684564379848, 0.334979160094168, 0.406388098650168,          0.11210687568128, 0.108262733037825, 0.252218317780421,          0.204374831829505, 0.204374831829505, 0.422907964790702         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 1L, 0L, 1L, 0L,          0L, 1L, 1L, 0L, 2L, 2L, 1L, 2L, 2L, 3L, 2L, 3L, 3L, 1L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 0L, 6L, 2L,          1L, 4L, 4L, 8L, 3L, 3L, 3L, 4L, 3L, 6L, 5L, 3L, 3L, 5L         ), WITHIN_350M_BUS = c(5L, 4L, 6L, 6L, 7L, 7L, 9L, 4L,          4L, 9L, 8L, 8L, 10L, 12L, 9L, 9L, 5L, 9L, 9L, 6L), WITHIN_1KM_PRISCH = c(1L,          2L, 2L, 1L, 2L, 4L, 2L, 4L, 4L, 2L, 2L, 2L, 2L, 1L, 2L,          3L, 2L, 4L, 4L, 2L), DNeighbour = c(0, 169.064169002838,          232.018359330886, 394.91299930577, 994.822600814516,          1076.60717535988, 1135.34892957885, 1161.21362937193,          1161.85497147424, 1181.65909917099, 1283.60541903076,          1288.56021107736, 1353.36608517246, 1418.32309926314,          1451.58526965444, 1464.81286246689, 1514.20233660225,          1701.37775514326, 1706.27141821386, 1710.27360258729)), row.names = c("256",      "739", "64", "109", "751", "423", "25", "214", "90", "468",      "230", "36", "337", "601", "1000", "107", "883", "328", "497",      "757"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.9805520042253,      0.963530599639495, 0.896207315008443, 0.437786990312085,      0.364498550716422, 0.312834113536221, 0.290529995743043,      0.289981161960573, 0.273144300718095, 0.190715785822179,      0.186929227985898, 0.13974117617776, 0.097511368721517, 0.0781945125823163,      0.0709925574595003, 0.046717954219579, 0.000107656825522308,      2.1852750599015e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1349916716 
R squared (OOB):                  0.2980752 

$Forests[[257]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(342000, 3e+05, 370000,      4e+05, 375000, 368000, 425000, 395888, 390000, 332000, 313000,      310000, 310000, 371000, 338000, 365000, 345000, 330000, 350000,      330000), floor_area_sqm = c(105, 94, 92, 100, 100, 100, 93,      94, 91, 104, 103, 104, 104, 91, 103, 91, 92, 104, 107, 105     ), storey_order = c(4L, 2L, 3L, 5L, 5L, 2L, 3L, 3L, 2L, 3L,      4L, 3L, 2L, 2L, 4L, 5L, 2L, 3L, 3L, 1L), remaining_lease_mths = c(822,      817, 922, 923, 935, 937, 1029, 1063, 956, 838, 823, 838,      840, 957, 836, 965, 974, 847, 910, 909), PROX_CBD = c(18.4174433264455,      18.4835571341017, 18.2744201988815, 18.2155576397088, 18.2155576397088,      18.1853912561079, 18.2498667293237, 18.1899007658477, 17.980006840849,      18.3394484051955, 19.0236365771618, 18.2872060948971, 18.6954685875173,      17.630719557776, 18.1853470145009, 17.6174166659189, 17.6174166659189,      18.238428451998, 18.8361111070307, 18.4634083712346), PROX_ELDERLYCARE = c(2.01990466694452,      2.12772209584432, 1.91030467455468, 1.82774218733134, 1.82774218733134,      1.83831888483507, 2.08641833813892, 2.0412967820292, 1.69038013517483,      1.68689945441126, 2.54744167947726, 1.57361264937598, 1.96536267509963,      1.35614304544574, 1.46334015610348, 1.58663462608392, 1.58663462608392,      1.49823830734066, 2.10089317294022, 1.70649895251479), PROX_HAWKER = c(0.365194571711665,      0.47819209562201, 0.292675997882175, 0.218122417644225, 0.218122417644225,      0.267411626133086, 0.574007707230075, 0.56403310040428, 0.32947027962251,      0.322806547864559, 0.905177457311038, 0.464971900021808,      0.696312293428963, 0.550798352023498, 0.490406092071559,      0.699652587196505, 0.699652587196505, 0.548143788898404,      0.811063273063077, 0.656056303664779), PROX_MRT = c(0.394110762668951,      0.440067919828323, 0.25859759791353, 0.24629140143503, 0.24629140143503,      0.186589372260449, 0.270260950193414, 0.225540054498686,      0.131298797620671, 0.722989849955079, 0.985299554465195,      0.870907467758581, 1.06426899086337, 0.481509556817778, 0.888080533877704,      0.430901962912929, 0.430901962912929, 0.950317003394984,      1.15964764660018, 1.05945750202888), PROX_PARK = c(0.305293053539538,      0.199823808978303, 0.366705585759005, 0.449638685926872,      0.449638685926872, 0.431621232177097, 0.261745107633199,      0.321396863181507, 0.597192139646456, 0.845903786092674,      0.583731630523903, 0.791043930625847, 0.939968281858902,      0.706852169587072, 0.741201414908801, 0.815337468455046,      0.815337468455046, 0.690805332809177, 0.99599902820202, 0.707700114575514     ), PROX_GOOD_PRISCH = c(7.75189187586876, 7.82005706650481,      7.60907430161507, 7.54917724573578, 7.54917724573578, 7.51998659904145,      7.5938744989762, 7.5338271442293, 7.31481473864251, 7.67457853159282,      8.3582852678982, 7.62743554697163, 8.03533881462458, 6.96345421686322,      7.52724739525134, 6.95710824587607, 6.95710824587607, 7.58243576478886,      8.17598486214089, 7.80883552790736), PROX_MALL = c(0.368677515727611,      0.482762920255867, 0.31638525459609, 0.249434383428027, 0.249434383428027,      0.304347432784639, 0.606938778613173, 0.601163950940652,      0.38257003715367, 0.270650184250749, 0.880738168625507, 0.369641594977131,      0.50227152913363, 0.581015113036356, 0.362005799982455, 0.753687860987251,      0.753687860987251, 0.291730094824992, 0.605524804958104,      0.25445476080495), PROX_CHAS = c(0.279695275413424, 0.297885151722028,      0.258594927218762, 0.246283235408848, 0.246283235408848,      0.186582621643492, 0.270276303087269, 0.225556636612455,      0.131281394661179, 0.186439783883369, 0.162790585292827,      0.000458346083760352, 0.387978032092424, 0.481496129777697,      0.11010335009361, 0.430898255483663, 0.430898255483663, 0.0811018368302058,      0.526621492045347, 0.163921847201363), PROX_SUPERMARKET = c(0.3481604922123,      0.402675729717655, 0.297968471640837, 0.233030240431279,      0.233030240431279, 0.289364184128333, 0.384544806397502,      0.37174850741073, 0.37748716441855, 0.279112228601587, 0.258877921583013,      0.367596841627256, 0.500728516827066, 0.432325009404537,      0.36017462873485, 0.467885028141574, 0.467885028141574, 0.289827711639516,      0.596975645906049, 0.25256410508494), WITHIN_350M_KINDERGARTEN = c(1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 4L, 1L, 6L, 0L, 2L, 7L, 2L,      2L, 4L, 0L, 4L), WITHIN_350M_CHILDCARE = c(7L, 9L, 7L, 7L,      7L, 7L, 6L, 5L, 5L, 4L, 4L, 4L, 3L, 6L, 4L, 4L, 4L, 3L, 3L,      3L), WITHIN_350M_BUS = c(14L, 12L, 17L, 15L, 15L, 16L, 11L,      13L, 14L, 11L, 11L, 9L, 8L, 8L, 11L, 6L, 6L, 10L, 4L, 12L     ), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 6L, 6L, 4L, 4L, 4L,      3L, 6L, 2L, 5L, 5L, 4L, 5L, 3L, 3L, 4L, 4L, 4L), DNeighbour = c(0,      118.355431380637, 137.823998659663, 203.09217325872, 207.973246366011,      233.08253648438, 348.548244491678, 383.241894724356, 432.852078103235,      542.756537300104, 606.858754278315, 723.660435612791, 776.529902942667,      788.911109489082, 790.946050229897, 815.672267656423, 818.980105662952,      831.102106728856, 833.585033493713, 859.508908689956)), row.names = c("257",      "774", "835", "643", "571", "31", "369", "422", "910", "693",      "248", "414", "817", "547", "857", "220", "14", "839", "906",      "748"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.962436287475654,      0.94923559941899, 0.89145262385205, 0.886331331954927, 0.858329675052495,      0.698149398320466, 0.641900305516842, 0.557087680461103,      0.361491995390418, 0.251491525824877, 0.084754494225617,      0.0337693054385205, 0.0248151300366431, 0.0234630061794095,      0.0098809016597733, 0.00847935917002288, 0.00422601025011011,      0.00352988393596998, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       681354053 
R squared (OOB):                  0.4140185 

$Forests[[258]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(473800, 425000, 545000,      403000, 452000, 437000, 435000, 450000, 425000, 470000, 465000,      485000, 450000, 460000, 450000, 455000, 465000, 475000, 455000,      460000), floor_area_sqm = c(90, 90, 93, 90, 95, 94, 94, 95,      92, 93, 95, 95, 94, 92, 90, 92, 90, 92, 93, 92), storey_order = c(6L,      2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 5L, 4L, 6L, 4L, 3L, 2L, 5L,      5L, 5L, 4L, 3L), remaining_lease_mths = c(1140, 1139, 1134,      1053, 1121, 1120, 1113, 1126, 1059, 1125, 1110, 1113, 1123,      1097, 1134, 1108, 1132, 1098, 1096, 1107), PROX_CBD = c(14.4131933766039,      14.4131933766039, 14.4432157047801, 14.2313196249897, 14.2856092918761,      14.0691382395842, 14.0214886887106, 14.1366846915735, 13.6873856248974,      14.2374266118925, 14.3101587663686, 14.2445424628862, 14.0429369190019,      14.2694643570804, 14.6796515041342, 14.2694643570804, 14.6796515041342,      14.3437499696049, 14.3469943525049, 14.2518409016409), PROX_ELDERLYCARE = c(1.43140028556732,      1.43140028556732, 1.44181352445962, 1.23431696680562, 1.29536834443332,      1.08280856328681, 1.04333655871926, 1.17371591683522, 0.720975229682918,      1.2819446304668, 1.29024298571696, 1.24643506877499, 1.1015647640471,      1.14423906696184, 1.45102259724198, 1.14423906696184, 1.45102259724198,      1.14464302293932, 1.07571195137499, 0.985840321219444), PROX_HAWKER = c(1.70733975651849,      1.70733975651849, 1.1926703176924, 1.20453145676494, 1.14967766552968,      1.21079813450924, 1.2014358291776, 1.09084844555913, 1.83406121528111,      1.02089221118434, 0.961388959141492, 0.968852406622053, 1.07710025413616,      0.826638245470088, 0.836784965651702, 0.826638245470088,      0.836784965651702, 0.74882220835846, 0.654543769257927, 0.656651462258042     ), PROX_MRT = c(0.160895515953214, 0.160895515953214, 0.142722405117506,      0.14509881944895, 0.0748886383392391, 0.281224364060027,      0.325652198483679, 0.218319465176875, 0.19923660487806, 0.148741201515391,      0.148967878322013, 0.184117552261459, 0.324573358240557,      0.30438768875815, 0.391052893274669, 0.30438768875815, 0.391052893274669,      0.217663394995295, 0.131478587775223, 0.189142279194464),          PROX_PARK = c(0.362779794623634, 0.362779794623634, 0.164631246691225,          0.30799989212087, 0.297003339879563, 0.468913262301943,          0.524931496780237, 0.474063272255088, 0.855123415409032,          0.440474428767772, 0.444639968372477, 0.481320095248247,          0.58019258504408, 0.599699049952129, 0.566439778554251,          0.599699049952129, 0.566439778554251, 0.636899975343007,          0.731552922713316, 0.785709089572823), PROX_GOOD_PRISCH = c(5.6363766911051,          5.6363766911051, 5.44062149940817, 5.24106386657147,          5.27158847877433, 5.07622831499557, 5.02043421457898,          5.09375212835948, 4.98236347160825, 5.16870486361587,          5.21803047984022, 5.1542412945362, 4.9857651679507, 5.12184985907385,          5.51577006817018, 5.12184985907385, 5.51577006817018,          5.1680916684458, 5.13548460888622, 5.03443000866885),          PROX_MALL = c(0.596976127865625, 0.596976127865625, 0.0864828813466827,          0.200492724858517, 0.136646142991964, 0.352184781664103,          0.399157770965225, 0.295276560881227, 0.138188079312201,          0.22058685557285, 0.199960318099191, 0.248497232357685,          0.401409437181884, 0.351657486288216, 0.38618207223371,          0.351657486288216, 0.38618207223371, 0.38589862433106,          0.480981762762808, 0.535261743386166), PROX_CHAS = c(0.168005379342294,          0.168005379342294, 0.0864829242311455, 0.200492722653611,          0.136646133179357, 0.167321001424632, 0.142774662207743,          0.0995517477546361, 0.138188055488585, 0.177995101264401,          0.199960275799137, 0.185564313785613, 0.0207330025336023,          0.120456720485379, 0.367772140885018, 0.120456720485379,          0.367772140885018, 0.0401042229543167, 0.0578525184286013,          0.121511881264649), PROX_SUPERMARKET = c(0.168006305985119,          0.168006305985119, 0.0916346746399726, 0.210915135620544,          0.146294584623949, 0.167319845962294, 0.142773459146917,          0.0995512052866983, 0.147450463248511, 0.177995229543633,          0.199173279096103, 0.185564776027004, 0.0207321820187816,          0.244158473149448, 0.0442147517112349, 0.244158473149448,          0.0442147517112349, 0.165776473264822, 0.0704323341151683,          0.121511691834874), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 6L, 6L, 8L, 6L, 8L, 6L, 8L, 8L, 9L, 6L, 10L, 4L,          10L, 4L, 8L, 7L, 10L), WITHIN_350M_BUS = c(6L, 6L, 5L,          6L, 8L, 9L, 9L, 8L, 7L, 6L, 6L, 7L, 9L, 9L, 4L, 9L, 4L,          8L, 8L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 5L, 6L, 7L,          7L, 7L, 7L, 5L, 7L, 7L, 7L, 7L, 6L, 4L, 6L, 4L, 5L, 4L,          6L), DNeighbour = c(0, 1.71095510315727, 513.093240791323,          550.860164985993, 586.288749401598, 663.507326743689,          709.265962743112, 722.887242071612, 728.459897239354,          730.616614227052, 759.357663902873, 781.410635365318,          809.632215525754, 917.356893035506, 918.853706821164,          919.854573545463, 925.769930616494, 969.442483407914,          1073.59578806566, 1110.72925335601)), row.names = c("258",      "403", "240", "283", "32", "57", "878", "76", "4", "537",      "142", "349", "754", "434", "405", "470", "996", "70", "488",      "73"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999995254409202,      0.618753666070884, 0.568574757585065, 0.520394275958231,      0.413653205541975, 0.350751334936516, 0.332272098999474,      0.324757300354032, 0.321856677564224, 0.283676937760575,      0.255097504846367, 0.219657528436782, 0.10104823990946, 0.099636860678508,      0.0986973855286702, 0.0932154914381659, 0.0567503488469743,      0.0043224765696903, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1080413789 
R squared (OOB):                  -0.3264013 

$Forests[[259]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 428888, 658000,      615000, 405000, 585000, 365000, 575000, 540000, 468000, 420000,      415000, 565000, 450000, 417000, 422500, 4e+05, 435000, 420000,      430000), floor_area_sqm = c(84, 84, 84, 84, 106, 93, 84,      93, 93, 106, 106, 103, 93, 106, 99, 104, 107, 99, 105, 103     ), storey_order = c(3L, 3L, 3L, 2L, 2L, 4L, 4L, 5L, 4L, 5L,      3L, 2L, 6L, 2L, 3L, 3L, 1L, 2L, 2L, 2L), remaining_lease_mths = c(782,      774, 1120, 1122, 778, 1142, 787, 1133, 1142, 863, 874, 768,      1127, 919, 914, 765, 912, 928, 787, 764), PROX_CBD = c(12.8776183162857,      12.8776183162857, 12.4891302242583, 12.3801819754074, 13.2146489403719,      12.454441113408, 13.5012180894848, 12.4342034244884, 12.5378737745647,      13.629257933267, 13.629257933267, 13.0537205387581, 12.4937468159193,      13.6245617307962, 12.2815153207229, 13.4875816574924, 13.6047453762483,      12.2106818490232, 12.7549887608908, 12.3243460542753), PROX_ELDERLYCARE = c(0.211786543917104,      0.211786543917104, 0.707031754326944, 0.738453704244922,      0.392334185262972, 0.717258387107597, 0.126566715598502,      0.678867196986192, 0.76025522927712, 0.207468408301612, 0.207468408301612,      0.569472877275307, 0.714783075399861, 0.120631950903102,      0.513657423159811, 0.428841001075194, 0.271914041498034,      0.442541563379791, 0.556485595404089, 0.362207242709056),          PROX_HAWKER = c(0.677647820815747, 0.677647820815747,          0.384467206049481, 0.261296216065877, 1.1504484389926,          0.459376407452819, 1.32455892398921, 0.504612881494125,          0.672948721825079, 1.4012681206183, 1.4012681206183,          0.963287544217337, 0.680821394190482, 1.48009929412898,          0.52278816815954, 1.41347495302278, 1.50728197565297,          0.524204307723605, 0.627642822312809, 0.290415492755609         ), PROX_MRT = c(0.301948361527339, 0.301948361527339,          0.38468199977318, 0.367154517888221, 0.530339592860526,          0.518913352820399, 0.54422435083218, 0.586933783104383,          0.707305973375369, 0.681065013996815, 0.681065013996815,          0.551410176707671, 0.743366527772832, 0.357520644011877,          0.703998835661039, 0.229256973107587, 0.222008379422339,          0.743103019894999, 0.561554903993597, 0.559245805822074         ), PROX_PARK = c(0.246982674114576, 0.246982674114576,          0.50651752093578, 0.605799570777928, 0.763919329225246,          0.580711209690395, 0.593866981909781, 0.628391467794767,          0.628331945846246, 0.403276931712581, 0.403276931712581,          0.974634241933185, 0.683130710636032, 0.731000545087102,          0.796788171077343, 1.00267286051928, 0.882483872449952,          0.863487882808023, 1.16122098497616, 1.218970746516),          PROX_GOOD_PRISCH = c(1.22334421357001, 1.22334421357001,          0.94986022590219, 0.823417580851307, 1.57814209766337,          0.990054087408291, 1.8351788996921, 1.01367306567257,          1.17951788917503, 1.96779323327463, 1.96779323327463,          1.48818847749708, 1.16886515239787, 1.96554365084008,          0.952579960345566, 1.87202126825599, 1.96272742295518,          0.91368762909787, 1.29435567579286, 0.889618707353532         ), PROX_MALL = c(0.503182159926002, 0.503182159926002,          0.458049841664737, 0.344173235497563, 0.655287065425073,          0.549832225559512, 0.956400108312903, 0.600548053404267,          0.766094086501437, 1.12429495075828, 1.12429495075828,          0.593340478429386, 0.778202426893423, 1.05956757611768,          0.630705874818675, 0.948424723316687, 1.0427530371351,          0.634332011832188, 0.542723135774117, 0.471904090765479         ), PROX_CHAS = c(0.128785172156574, 0.128785172156574,          3.00974727266337e-08, 0.126495411341712, 0.358071114142678,          0.134313038880304, 0.0648495538885981, 0.134041173915956,          0.187116592266412, 0.260044927245007, 0.260044927245007,          0.203693673714882, 0.147744885974614, 2.17172157220984e-06,          0.0753088652692227, 0.231037598077535, 0.15212794302602,          0.140964983635816, 0.144180959238343, 0.193597629002809         ), PROX_SUPERMARKET = c(0.17067511852319, 0.17067511852319,          0.425107542879533, 0.30203349112312, 0.384538867225359,          0.499432454100223, 0.329742543966106, 0.543693418915242,          0.707597649659388, 0.288903462518554, 0.288903462518554,          0.349948262987797, 0.667447252804164, 0.237807435452358,          0.448534184110051, 0.231037826802092, 0.353624023725788,          0.377835654599335, 0.150188458093997, 0.331501685351864         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 2L, 2L, 2L, 2L,          1L, 2L, 0L, 3L, 3L, 2L, 0L, 3L, 1L, 2L, 0L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 3L, 3L, 4L,          5L, 4L, 5L, 6L, 6L, 2L, 4L, 5L, 6L, 2L, 6L, 5L, 3L, 4L         ), WITHIN_350M_BUS = c(12L, 12L, 10L, 8L, 9L, 11L, 7L,          12L, 11L, 6L, 6L, 8L, 11L, 10L, 12L, 10L, 12L, 11L, 7L,          4L), WITHIN_1KM_PRISCH = c(4L, 4L, 5L, 4L, 6L, 3L, 4L,          1L, 1L, 2L, 2L, 6L, 1L, 4L, 2L, 5L, 5L, 2L, 5L, 6L),          DNeighbour = c(0, 8.90912631861192, 510.387796147649,          562.303060776189, 600.176020478872, 626.542383582242,          658.552450270703, 683.510682296369, 746.294900166678,          751.368880537751, 754.441817490602, 765.762316913014,          794.133572483242, 829.558362450607, 837.627857621986,          878.537130502702, 879.315848733919, 899.475055200783,          914.800421698263, 974.143084473353)), row.names = c("259",      "892", "505", "315", "511", "641", "264", "310", "343", "415",      "503", "541", "24", "656", "362", "663", "955", "42", "215",      "861"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.9998327228724,      0.526338592813085, 0.444632063656722, 0.384911807763032,      0.343781327447828, 0.294827245660088, 0.257741710023042,      0.170638954745202, 0.164087215013164, 0.160160548171543,      0.145974007927918, 0.112512384687793, 0.0755236740016062,      0.0679325259048497, 0.0348401325637894, 0.0343037114313024,      0.0217340436956393, 0.0139534304214739, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1949827351 
R squared (OOB):                  0.7269658 

$Forests[[260]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(495000, 540000, 510000,      475000, 505000, 580000, 376000, 540000, 548888, 565000, 575000,      580000, 520000, 5e+05, 505000, 380000, 403500, 490000, 433000,      380000), floor_area_sqm = c(93, 93, 93, 90, 90, 92, 102,      90, 92, 92, 92, 92, 92, 92, 92, 92, 90, 92, 92, 90), storey_order = c(3L,      4L, 3L, 5L, 6L, 4L, 5L, 3L, 2L, 3L, 4L, 4L, 1L, 3L, 4L, 1L,      5L, 3L, 4L, 4L), remaining_lease_mths = c(1076, 1075, 1076,      1031, 1033, 1134, 944, 1067, 1130, 1127, 1137, 1140, 1138,      1049, 1051, 1037, 965, 1038, 1084, 973), PROX_CBD = c(11.7824349405223,      11.8019303594103, 11.734228152501, 11.780035597066, 11.6571985599938,      11.7494815193957, 11.9885535057438, 11.5237533038112, 11.7494815193957,      11.6525204845234, 11.6525204845234, 11.6525204845234, 11.6952918230505,      11.4975151935682, 11.4388659085475, 11.6419253241709, 12.0682850666201,      11.6213283462416, 11.8702915361943, 11.9491294576901), PROX_ELDERLYCARE = c(0.213047345375207,      0.184707688528033, 0.217445500321488, 0.389019901488026,      0.400746835300904, 0.0736890817471424, 0.468647269590137,      0.374021376468387, 0.0736890817471424, 0.090696724945174,      0.090696724945174, 0.090696724945174, 0.0818897866131208,      0.485429735975203, 0.529438756707198, 0.626216066088841,      0.36227142211874, 0.621923465733728, 0.670900780040593, 0.351349913726565     ), PROX_HAWKER = c(0.411134055372247, 0.425288384889406,      0.366555491930585, 0.475091880549249, 0.38372613736418, 0.418792449609449,      0.661637750611862, 0.235307086042243, 0.418792449609449,      0.325622570567264, 0.325622570567264, 0.325622570567264,      0.374319678668878, 0.320302217757218, 0.319632581294072,      0.553081930127745, 0.732401821736703, 0.537052085835962,      0.715369360111721, 0.693645859237657), PROX_MRT = c(0.323171872402698,      0.341923672362566, 0.276453864170284, 0.149757666469573,      0.187661086924798, 0.183595482094196, 0.253577460439113,      0.148196296616071, 0.183595482094196, 0.219824289848129,      0.219824289848129, 0.219824289848129, 0.18359152527436, 0.24936700359253,      0.264110896255266, 0.168432978085695, 0.353072027979069,      0.182944945438028, 0.146531371307633, 0.207404211118571),          PROX_PARK = c(1.04913519120928, 1.09015045463689, 1.00928973198994,          0.915827670442916, 0.822874314333037, 1.25382465781663,          0.965214735166117, 0.808531626238996, 1.25382465781663,          1.18955170998222, 1.18955170998222, 1.18955170998222,          1.23082333360032, 0.698336840868775, 0.653351036954048,          0.654970873229416, 1.2554933111164, 0.643411448820926,          0.8322137924942, 1.42337349535551), PROX_GOOD_PRISCH = c(2.5757070458522,          2.57167610218627, 2.54247396470066, 2.67648686403773,          2.58492752090912, 2.40225451049103, 2.84793008582659,          2.43173748992112, 2.40225451049103, 2.3279627535371,          2.3279627535371, 2.3279627535371, 2.35260315569007, 2.48345794754568,          2.45055199705462, 2.71543842399088, 2.66094910730305,          2.69528593883292, 2.91053685401804, 2.48771655129493),          PROX_MALL = c(0.732391369928616, 0.70263709534569, 0.781937846313192,          0.657761426948524, 0.718523422751835, 0.730910693989521,          0.581599658792334, 0.840908486660855, 0.730910693989521,          0.807719243520252, 0.807719243520252, 0.807719243520252,          0.785373664552542, 0.805279144871904, 0.840491697823826,          0.576398809288588, 0.424043071559413, 0.597386337892971,          0.385092319171944, 0.591401580344059), PROX_CHAS = c(0.182294192745256,          0.144895120017984, 0.203102352137365, 0.165734916528407,          0.162236141473446, 0.105514964386053, 0.0548782345589675,          0.0822817354855642, 0.105514964386053, 0.162428164506486,          0.162428164506486, 0.162428164506486, 0.141926234339659,          0.18789773503711, 0.210772889992189, 0.118628580179885,          0.0850792531740411, 0.130352204164602, 0.179381733260264,          0.136369833447508), PROX_SUPERMARKET = c(0.186528474083994,          0.149354766345577, 0.206717744357565, 0.328761363845442,          0.248678179468178, 0.100761764224213, 0.41771106664497,          0.113409172087645, 0.100761764224213, 0.158766807317564,          0.158766807317564, 0.158766807317564, 0.137537075296593,          0.186124684843571, 0.189609627596398, 0.0879874709963817,          0.0850782630125017, 0.0679201472407272, 0.31749021679057,          0.234851160706955), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(8L, 7L,          8L, 9L, 8L, 5L, 6L, 4L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 6L,          5L, 6L, 9L, 6L), WITHIN_350M_BUS = c(11L, 13L, 10L, 8L,          9L, 14L, 14L, 5L, 14L, 11L, 11L, 11L, 13L, 8L, 7L, 8L,          12L, 8L, 10L, 12L), WITHIN_1KM_PRISCH = c(7L, 6L, 5L,          6L, 5L, 6L, 7L, 4L, 6L, 6L, 6L, 6L, 6L, 4L, 5L, 5L, 7L,          6L, 5L, 7L), DNeighbour = c(0, 41.022101603679, 53.9811482077943,          177.684330793993, 227.952862609755, 277.891429521547,          278.173687949158, 281.148188708023, 286.641808465841,          288.419054263953, 294.063265719677, 295.380725348902,          296.921688278767, 363.763272840073, 415.288347944156,          432.359616167478, 437.615229142442, 438.30968512927,          457.903813592316, 508.045469558554)), row.names = c("260",      "342", "409", "263", "977", "281", "486", "652", "808", "557",      "580", "792", "917", "553", "271", "421", "860", "89", "110",      "175"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98700301599946,      0.977548228578721, 0.770324346074159, 0.637891213564348,      0.491136523472727, 0.490284581416852, 0.481299515284364,      0.46467765108854, 0.459294967542447, 0.442192601949458, 0.438200268248716,      0.433531145232096, 0.237496710952824, 0.110103640582641,      0.0760412120776729, 0.0665853505605368, 0.0653746464518939,      0.0352124029325266, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2304421903 
R squared (OOB):                  0.4969151 

$Forests[[261]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(417000, 340888, 355000,      335000, 392000, 388000, 363000, 343000, 375000, 333000, 3e+05,      335000, 320000, 335000, 325000, 385000, 315000, 297000, 415000,      330000), floor_area_sqm = c(92, 107, 104, 114, 113, 104,      104, 107, 108, 108, 106, 105, 91, 90, 90, 104, 90, 90, 104,      91), storey_order = c(2L, 4L, 4L, 3L, 2L, 6L, 5L, 2L, 2L,      4L, 2L, 2L, 8L, 3L, 5L, 1L, 5L, 2L, 2L, 1L), remaining_lease_mths = c(1120,      883, 882, 904, 933, 904, 918, 907, 909, 895, 941, 938, 995,      979, 992, 863, 1001, 995, 875, 987), PROX_CBD = c(16.7161737209409,      16.7669966667855, 16.7669966667855, 16.3642048862006, 16.6579104452557,      16.3777502460772, 16.295166477654, 17.2160129653012, 16.9875722318911,      16.5397910410307, 17.3741762112269, 17.3741762112269, 16.7093180086981,      17.0600275230943, 17.2610384590751, 16.2492480828887, 16.8082045368238,      16.901501451739, 15.8781143296649, 17.2817356498826), PROX_ELDERLYCARE = c(9.26628957858198e-07,      0.121542639162494, 0.121542639162494, 0.361422596457277,      0.409372351007212, 0.465083314136851, 0.514795208711411,      0.574386357445605, 0.636322412867891, 0.706939892416911,      0.815153211361198, 0.815153211361198, 0.935779967581661,      1.09431476347566, 1.12094638660826, 0.836071823435323, 1.15380285023885,      1.16689850532437, 0.633288957745621, 1.19353475005496), PROX_HAWKER = c(1.96687058888139,      2.05474291859885, 2.05474291859885, 1.67761333691466, 1.80129318596364,      1.54627052523026, 1.47281657351752, 2.37357884684332, 2.10596394293278,      2.14655926815246, 2.50067722531469, 2.50067722531469, 1.82495077083007,      2.18272534115171, 2.37726799660773, 2.17952287051713, 1.94950915107796,      2.0413146444202, 1.79301822351461, 2.40388099430384), PROX_MRT = c(0.427108887982576,      0.53300655679357, 0.53300655679357, 0.653367521351592, 0.128609360773056,      0.419412974707088, 0.504795745143921, 0.453815632281196,      0.252669932820992, 0.460645764817668, 0.590831178240684,      0.590831178240684, 0.522077155701705, 0.673816738147829,      0.729621307242001, 0.290093838525113, 0.730447684580082,      0.740013435080822, 0.159697283923578, 0.797812759521718),          PROX_PARK = c(0.688779163701323, 0.722711239268322, 0.722711239268322,          0.32735774848914, 0.826869373992433, 0.571339732684777,          0.48638578612152, 1.24959985284921, 1.18807543108152,          0.711243459523284, 1.47164498360674, 1.47164498360674,          1.17885821480356, 1.5130077643247, 1.64853798443183,          0.886796559947336, 1.39545287332227, 1.46267930314228,          0.678969217742802, 1.70244245234235), PROX_GOOD_PRISCH = c(7.12110535783693,          7.13952904562396, 7.13952904562396, 6.76031366250815,          7.18541951227303, 6.89348817522951, 6.80828229467371,          7.68034428555912, 7.55033959010056, 6.77397603493671,          7.888904100652, 7.888904100652, 7.40748446052123, 7.76907239486735,          7.93716312588154, 6.4097782056775, 7.5739079893598, 7.66085245964853,          6.09357654169244, 7.98012169831377), PROX_MALL = c(0.337595745740984,          0.27529824968273, 0.27529824968273, 0.388175183991252,          0.168053149288668, 0.427317836890542, 0.510483215269896,          0.413606644895247, 0.165557901737932, 0.345326846187852,          0.521008948961951, 0.521008948961951, 0.484270435079706,          0.597930181439745, 0.644198936007264, 0.355568776497803,          0.677813655888015, 0.678684538412688, 0.145699923430919,          0.713200150273906), PROX_CHAS = c(0.279591917356114,          0.222759343861358, 0.222759343861358, 0.380772978950647,          0.170995488718356, 0.429996386722335, 0.513107963149175,          0.303266380929536, 0.194474796894964, 0.286223989121013,          0.524369302913132, 0.524369302913132, 0.52365796939069,          0.638199243310692, 0.678651577140463, 0.121251060497272,          0.71936188995133, 0.720584477651296, 0.0723222156351423,          0.748586514709626), PROX_SUPERMARKET = c(0.344537051235884,          0.243987988302975, 0.243987988302975, 0.422789252098693,          0.103652200866821, 0.386156989530241, 0.471223408024363,          0.387759857324111, 0.284398337107734, 0.377165028023417,          0.559408220033625, 0.559408220033625, 0.555366708418936,          0.718466194952364, 0.771245719522698, 0.350013224352412,          0.768274584157999, 0.780695486504835, 0.157892159590583,          0.842475689687135), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 2L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L,          0L, 1L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 5L,          5L, 4L, 5L, 3L, 3L, 5L, 4L, 1L, 4L, 4L, 1L, 2L, 3L, 4L,          1L, 1L, 3L, 3L), WITHIN_350M_BUS = c(12L, 11L, 11L, 6L,          9L, 8L, 7L, 5L, 11L, 2L, 2L, 2L, 8L, 7L, 5L, 9L, 9L,          7L, 7L, 5L), WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 3L, 4L,          4L, 3L, 4L, 4L, 3L, 4L, 4L, 3L, 2L, 2L, 3L, 2L, 2L, 3L,          2L), DNeighbour = c(0, 122.464887612158, 126.004009040489,          365.292903336252, 405.950543503037, 462.730892189705,          518.554441664392, 567.450945482909, 634.402134842384,          707.932615644939, 811.160729256002, 813.523442961261,          934.96040090352, 1092.94022166141, 1119.503845625, 1140.62830005785,          1147.39326313648, 1165.69131393274, 1184.21905343996,          1189.96195863565)), row.names = c("261", "673", "898",      "252", "918", "820", "451", "326", "125", "498", "813", "822",      "156", "208", "525", "711", "121", "416", "510", "127"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.978929201574118, 0.977700714304024, 0.820408631620475,      0.780783477613902, 0.720438364750587, 0.656263712634368,      0.596910734199644, 0.512333063003684, 0.417406117255064,      0.286574722094525, 0.283679633898135, 0.146433178145709,      0.0244669810369287, 0.0132054369673483, 0.00659304727934364,      0.00493739429907735, 0.00163024564393855, 9.27168433577157e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       657211735 
R squared (OOB):                  0.469111 

$Forests[[262]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 315000, 350000,      310000, 387008, 550000, 613000, 415000, 365000, 588000, 395000,      565000, 508000, 530000, 258000, 433000, 416000, 568000, 285000,      415000), floor_area_sqm = c(104, 84, 108, 84, 97, 92, 92,      92, 92, 92, 92, 92, 92, 92, 84, 92, 92, 92, 84, 93), storey_order = c(4L,      3L, 1L, 2L, 2L, 2L, 4L, 5L, 1L, 2L, 2L, 5L, 1L, 2L, 1L, 4L,      4L, 4L, 3L, 4L), remaining_lease_mths = c(805, 804, 809,      811, 775, 1124, 1119, 1144, 1137, 1119, 1146, 1117, 1121,      1108, 781, 1130, 1140, 1117, 776, 1141), PROX_CBD = c(15.7683454047388,      15.9050437012323, 15.5495667695359, 15.7493840144196, 15.8742411347238,      15.4589251607201, 15.4589251607201, 15.9533618390172, 16.0046521285213,      15.4444506298565, 16.0046521285213, 15.5121102277751, 15.4653265021947,      15.4274201584828, 16.1631400386504, 16.055983361932, 16.055983361932,      15.3987887594526, 16.2311391435218, 15.719551353229), PROX_ELDERLYCARE = c(0.584689505447093,      0.346730428331521, 0.619297318170404, 0.392042381698264,      0.784609866943175, 0.68815946921851, 0.68815946921851, 0.251148223850536,      0.20718686492254, 0.64097589351183, 0.20718686492254, 0.536539272984936,      0.595913887497293, 0.637452860447804, 0.194171564025932,      0.146417557277997, 0.146417557277997, 0.578356799737993,      0.252142982647588, 0.251997184681221), PROX_HAWKER = c(0.791474322012874,      0.79668564149145, 0.5213921544653, 0.617009737136425, 0.921851461637316,      0.469966667540803, 0.469966667540803, 0.802087399746937,      0.855932206484513, 0.396657168515828, 0.855932206484513,      0.396815374523363, 0.380307090885425, 0.365463704587155,      1.03995728027003, 0.897672222950446, 0.897672222950446, 0.294909248784724,      1.12300848995143, 0.543607139892928), PROX_MRT = c(0.523772975672589,      0.750476153315833, 0.711232187253978, 0.825478596695925,      0.243577544220952, 0.729135125223405, 0.729135125223405,      0.8851452059773, 0.883219311345816, 0.812282865657068, 0.883219311345816,      0.8698145169005, 0.848209897671344, 0.843485398790606, 0.842728374229233,      0.936151237003446, 0.936151237003446, 0.921278705332003,      0.830985280221221, 1.04322565796881), PROX_PARK = c(0.270342199592644,      0.475878847958935, 0.20876400491182, 0.423881452963658, 0.457440234531046,      0.194645215248471, 0.194645215248471, 0.589052524814441,      0.619767633008914, 0.279663832574521, 0.619767633008914,      0.357009242210065, 0.321827820326955, 0.308677700833154,      0.707513815343702, 0.683762717294504, 0.683762717294504,      0.283836897691409, 0.723677668737743, 0.60075194434184),          PROX_GOOD_PRISCH = c(6.2828979894293, 6.45664561130608,          6.09891773314498, 6.32317863359129, 6.33578781760894,          6.00758296280353, 6.00758296280353, 6.52939634907869,          6.57618460349959, 6.01089245018733, 6.57618460349959,          6.0946998605156, 6.04109347904609, 6.00000717285666,          6.70927938580052, 6.63421015362065, 6.63421015362065,          5.98797030068414, 6.76533990958697, 6.34176102939636),          PROX_MALL = c(0.400271919676516, 0.18299798168314, 0.541358966367059,          0.340817581482914, 0.159478773824134, 0.632880647427991,          0.632880647427991, 0.161178852361569, 0.110811660449771,          0.640411632029909, 0.110811660449771, 0.577683661914992,          0.62067023459119, 0.657665812567692, 0.0870960802892481,          0.118546137622893, 0.118546137622893, 0.692287086677849,          0.175221521556568, 0.460595397283409), PROX_CHAS = c(0.406778788965278,          0.190026772642962, 0.252209440491103, 0.347229964463676,          0.159478805927642, 0.206736748098593, 0.206736748098593,          0.165813590617473, 0.114687044901222, 0.128062594375949,          0.114687044901222, 0.14804241676277, 0.114224376246159,          0.0964991818226865, 0.081875317774622, 0.110329053122027,          0.110329053122027, 0.0335692412129841, 0.170601730776313,          0.269388612247007), PROX_SUPERMARKET = c(0.30290594542381,          0.179336240856332, 0.243797536441002, 2.98731019421495e-07,          0.159478664733051, 0.327859325274294, 0.327859325274294,          0.162291812321236, 0.112847248683738, 0.312290330939399,          0.112847248683738, 0.237787830949247, 0.284849629955282,          0.324468805261885, 0.0873208554119548, 0.123371553336512,          0.123371553336512, 0.352133387221186, 0.137275095711229,          0.219989756424723), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(5L, 4L,          1L, 5L, 5L, 2L, 2L, 3L, 3L, 1L, 3L, 2L, 1L, 2L, 6L, 3L,          3L, 1L, 5L, 5L), WITHIN_350M_BUS = c(8L, 8L, 6L, 7L,          8L, 7L, 7L, 8L, 7L, 7L, 7L, 6L, 7L, 7L, 11L, 7L, 7L,          6L, 10L, 5L), WITHIN_1KM_PRISCH = c(7L, 6L, 5L, 6L, 6L,          4L, 4L, 5L, 5L, 4L, 5L, 4L, 4L, 4L, 5L, 5L, 5L, 4L, 5L,          3L), DNeighbour = c(0, 253.586398328532, 262.10337461983,          297.483689479409, 330.139484646877, 336.643542000388,          338.337210562615, 385.098423279085, 393.922454704857,          395.535633740008, 396.339579328988, 400.565701173297,          409.3660219618, 418.180602423027, 451.581873261817, 459.897001744388,          461.432387609288, 495.242323025643, 495.297440388514,          523.473139326311)), row.names = c("262", "59", "236",      "956", "83", "963", "455", "124", "594", "574", "408", "605",      "962", "712", "872", "741", "538", "714", "945", "698"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.585725431888615, 0.561448684190223, 0.458394461520727,      0.362709534720636, 0.343897080670557, 0.339021484785882,      0.2105009970528, 0.188111400714822, 0.184101558476398, 0.182113285674925,      0.171774691933502, 0.150890327211176, 0.130918205758607,      0.065438433578757, 0.0520528732184172, 0.0497239526458979,      0.0110147605555058, 0.0109729797660182, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3333752901 
R squared (OOB):                  0.7151004 

$Forests[[263]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(475000, 505000, 510000,      495000, 540000, 376000, 540000, 380000, 490000, 5e+05, 433000,      505000, 420000, 565000, 580000, 575000, 580000, 548888, 520000,      348000), floor_area_sqm = c(90, 90, 93, 93, 93, 102, 90,      92, 92, 92, 92, 92, 93, 92, 92, 92, 92, 92, 92, 100), storey_order = c(5L,      6L, 3L, 3L, 4L, 5L, 3L, 1L, 3L, 3L, 4L, 4L, 2L, 3L, 4L, 4L,      4L, 2L, 1L, 3L), remaining_lease_mths = c(1031, 1033, 1076,      1076, 1075, 944, 1067, 1037, 1038, 1049, 1084, 1051, 1099,      1127, 1134, 1137, 1140, 1130, 1138, 938), PROX_CBD = c(11.780035597066,      11.6571985599938, 11.734228152501, 11.7824349405223, 11.8019303594103,      11.9885535057438, 11.5237533038112, 11.6419253241709, 11.6213283462416,      11.4975151935682, 11.8702915361943, 11.4388659085475, 11.8999896789117,      11.6525204845234, 11.7494815193957, 11.6525204845234, 11.6525204845234,      11.7494815193957, 11.6952918230505, 11.8646943012694), PROX_ELDERLYCARE = c(0.389019901488026,      0.400746835300904, 0.217445500321488, 0.213047345375207,      0.184707688528033, 0.468647269590137, 0.374021376468387,      0.626216066088841, 0.621923465733728, 0.485429735975203,      0.670900780040593, 0.529438756707198, 0.790393757138983,      0.090696724945174, 0.0736890817471424, 0.090696724945174,      0.090696724945174, 0.0736890817471424, 0.0818897866131208,      0.893707553155367), PROX_HAWKER = c(0.475091880549249, 0.38372613736418,      0.366555491930585, 0.411134055372247, 0.425288384889406,      0.661637750611862, 0.235307086042243, 0.553081930127745,      0.537052085835962, 0.320302217757218, 0.715369360111721,      0.319632581294072, 0.820501997631561, 0.325622570567264,      0.418792449609449, 0.325622570567264, 0.325622570567264,      0.418792449609449, 0.374319678668878, 0.888626336009462),          PROX_MRT = c(0.149757666469573, 0.187661086924798, 0.276453864170284,          0.323171872402698, 0.341923672362566, 0.253577460439113,          0.148196296616071, 0.168432978085695, 0.182944945438028,          0.24936700359253, 0.146531371307633, 0.264110896255266,          0.261250382411254, 0.219824289848129, 0.183595482094196,          0.219824289848129, 0.219824289848129, 0.183595482094196,          0.18359152527436, 0.214047355776769), PROX_PARK = c(0.915827670442916,          0.822874314333037, 1.00928973198994, 1.04913519120928,          1.09015045463689, 0.965214735166117, 0.808531626238996,          0.654970873229416, 0.643411448820926, 0.698336840868775,          0.8322137924942, 0.653351036954048, 0.813614799778521,          1.18955170998222, 1.25382465781663, 1.18955170998222,          1.18955170998222, 1.25382465781663, 1.23082333360032,          0.747986195716587), PROX_GOOD_PRISCH = c(2.67648686403773,          2.58492752090912, 2.54247396470066, 2.5757070458522,          2.57167610218627, 2.84793008582659, 2.43173748992112,          2.71543842399088, 2.69528593883292, 2.48345794754568,          2.91053685401804, 2.45055199705462, 3.00567179865442,          2.3279627535371, 2.40225451049103, 2.3279627535371, 2.3279627535371,          2.40225451049103, 2.35260315569007, 3.05097986431403),          PROX_MALL = c(0.657761426948524, 0.718523422751835, 0.781937846313192,          0.732391369928616, 0.70263709534569, 0.581599658792334,          0.840908486660855, 0.576398809288588, 0.597386337892971,          0.805279144871904, 0.385092319171944, 0.840491697823826,          0.283076960540796, 0.807719243520252, 0.730910693989521,          0.807719243520252, 0.807719243520252, 0.730910693989521,          0.785373664552542, 0.265637621954407), PROX_CHAS = c(0.165734916528407,          0.162236141473446, 0.203102352137365, 0.182294192745256,          0.144895120017984, 0.0548782345589675, 0.0822817354855642,          0.118628580179885, 0.130352204164602, 0.18789773503711,          0.179381733260264, 0.210772889992189, 0.283076936045466,          0.162428164506486, 0.105514964386053, 0.162428164506486,          0.162428164506486, 0.105514964386053, 0.141926234339659,          0.265637621677666), PROX_SUPERMARKET = c(0.328761363845442,          0.248678179468178, 0.206717744357565, 0.186528474083994,          0.149354766345577, 0.41771106664497, 0.113409172087645,          0.0879874709963817, 0.0679201472407272, 0.186124684843571,          0.31749021679057, 0.189609627596398, 0.236972988988714,          0.158766807317564, 0.100761764224213, 0.158766807317564,          0.158766807317564, 0.100761764224213, 0.137537075296593,          0.211091622880127), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(9L, 8L,          8L, 8L, 7L, 6L, 4L, 6L, 6L, 4L, 9L, 4L, 7L, 4L, 5L, 4L,          4L, 5L, 4L, 7L), WITHIN_350M_BUS = c(8L, 9L, 10L, 11L,          13L, 14L, 5L, 8L, 8L, 8L, 10L, 7L, 9L, 11L, 14L, 11L,          11L, 14L, 13L, 8L), WITHIN_1KM_PRISCH = c(6L, 5L, 5L,          7L, 6L, 7L, 4L, 5L, 6L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 6L,          6L, 6L, 5L), DNeighbour = c(0, 118.187340139962, 175.595127917035,          177.684330793993, 216.097124896227, 217.585613206748,          260.000984845074, 267.788805636916, 277.756975861062,          286.834661809678, 287.681428206973, 341.021967063672,          405.086853713383, 452.114134603743, 454.255058290692,          457.734721277836, 459.032985934789, 462.88907965127,          467.237993680264, 509.093895721149)), row.names = c("263",      "977", "409", "260", "342", "486", "652", "421", "89", "553",      "110", "271", "185", "557", "281", "580", "792", "808", "917",      "232"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.89511522004822,      0.776217875654834, 0.771208050311253, 0.672107814878697,      0.668030154638778, 0.546375249643595, 0.523181417012887,      0.493268292221671, 0.46588233339208, 0.463323508398769, 0.303917038584417,      0.1345854388816, 0.0446564782738464, 0.041548196814797, 0.0367065445153392,      0.0349679744201969, 0.0300261914367779, 0.0248608974680341,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2124967033 
R squared (OOB):                  0.5642644 

$Forests[[264]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 450000, 468000,      420000, 4e+05, 405000, 422500, 408000, 385000, 425000, 425000,      428888, 415000, 415000, 415000, 440000, 412000, 362500, 395000,      520000), floor_area_sqm = c(84, 106, 106, 106, 107, 106,      104, 105, 84, 104, 104, 84, 84, 103, 108, 104, 104, 103,      103, 93), storey_order = c(4L, 2L, 5L, 3L, 1L, 2L, 3L, 1L,      2L, 2L, 4L, 3L, 3L, 2L, 2L, 3L, 2L, 3L, 4L, 3L), remaining_lease_mths = c(787,      919, 863, 874, 912, 778, 765, 797, 815, 801, 775, 774, 782,      768, 891, 752, 878, 819, 772, 1133), PROX_CBD = c(13.5012180894848,      13.6245617307962, 13.629257933267, 13.629257933267, 13.6047453762483,      13.2146489403719, 13.4875816574924, 13.8987191813532, 13.8115996810708,      13.9224032790502, 13.5598735525989, 12.8776183162857, 12.8776183162857,      13.0537205387581, 13.8459786715751, 13.1913836000948, 14.1313829663274,      14.3801998083441, 13.1724132817366, 13.7835124985007), PROX_ELDERLYCARE = c(0.126566715598502,      0.120631950903102, 0.207468408301612, 0.207468408301612,      0.271914041498034, 0.392334185262972, 0.428841001075194,      0.166628987045545, 0.244605555667631, 0.160860892679658,      0.555470204987842, 0.211786543917104, 0.211786543917104,      0.569472877275307, 0.429452782693922, 0.779182108791446,      0.836104821253693, 0.709377020411434, 0.906244923447749,      1.04590518035641), PROX_HAWKER = c(1.32455892398921, 1.48009929412898,      1.4012681206183, 1.4012681206183, 1.50728197565297, 1.1504484389926,      1.41347495302278, 1.60647998640073, 1.71143518366979, 1.57003684649171,      1.44869421276883, 0.677647820815747, 0.677647820815747, 0.963287544217337,      1.71981564227335, 1.05769292681279, 0.73352935155883, 0.928921275219278,      1.03184370064912, 0.817574416707151), PROX_MRT = c(0.54422435083218,      0.357520644011877, 0.681065013996815, 0.681065013996815,      0.222008379422339, 0.530339592860526, 0.229256973107587,      0.337555536848429, 0.198072339225813, 0.375491068655226,      0.172867375742438, 0.301948361527339, 0.301948361527339,      0.551410176707671, 0.2084775132707, 0.577154139562059, 0.735653331318593,      1.02650412956774, 0.712767869041386, 0.648112836468654),          PROX_PARK = c(0.593866981909781, 0.731000545087102, 0.403276931712581,          0.403276931712581, 0.882483872449952, 0.763919329225246,          1.00267286051928, 0.83983547285748, 0.925135888784, 0.819174175884815,          1.16233583500127, 0.246982674114576, 0.246982674114576,          0.974634241933185, 1.1446906726086, 1.12092772213378,          0.463826523913091, 0.71485218383349, 0.94305137750942,          0.438074957540257), PROX_GOOD_PRISCH = c(1.8351788996921,          1.96554365084008, 1.96779323327463, 1.96779323327463,          1.96272742295518, 1.57814209766337, 1.87202126825599,          2.24487256678893, 2.17137072991142, 2.26578798898653,          1.97663004084467, 1.22334421357001, 1.22334421357001,          1.48818847749708, 2.27101821651052, 1.6842887316892,          2.52734391167264, 2.72778429145315, 1.76071721252525,          2.3007469286795), PROX_MALL = c(0.956400108312903, 1.05956757611768,          1.12429495075828, 1.12429495075828, 1.0427530371351,          0.655287065425073, 0.948424723316687, 1.33259876169033,          1.25122768833936, 1.34118728457461, 1.05810160080284,          0.503182159926002, 0.503182159926002, 0.593340478429386,          1.35153556565047, 0.813382909306435, 0.66282583229379,          0.949257633150117, 0.808064657998832, 0.615576551193732         ), PROX_CHAS = c(0.0648495538885981, 2.17172157220984e-06,          0.260044927245007, 0.260044927245007, 0.15212794302602,          0.358071114142678, 0.231037598077535, 0.0582471476749484,          0.130123043615932, 0.0806372798138111, 0.180657994610612,          0.128785172156574, 0.128785172156574, 0.203693673714882,          0.345234103044859, 0.19044114280624, 0.528800676490504,          0.453083161817035, 0.253073540027742, 0.253975316505048         ), PROX_SUPERMARKET = c(0.329742543966106, 0.237807435452358,          0.288903462518554, 0.288903462518554, 0.353624023725788,          0.384538867225359, 0.231037826802092, 0.2065347950197,          0.30366394922488, 0.189550835904173, 0.180658044884504,          0.17067511852319, 0.17067511852319, 0.349948262987797,          0.426625283183798, 0.190441743522314, 0.528799775767506,          0.513065398645433, 0.263318229535236, 0.253974877653299         ), WITHIN_350M_KINDERGARTEN = c(1L, 3L, 3L, 3L, 0L, 2L,          2L, 2L, 0L, 3L, 2L, 0L, 0L, 2L, 1L, 3L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 6L, 6L, 6L, 3L,          2L, 3L, 3L, 3L, 3L, 1L, 1L, 2L, 3L, 4L, 3L, 3L, 3L, 2L         ), WITHIN_350M_BUS = c(7L, 10L, 6L, 6L, 12L, 9L, 10L,          9L, 10L, 9L, 11L, 12L, 12L, 8L, 12L, 8L, 6L, 2L, 6L,          6L), WITHIN_1KM_PRISCH = c(4L, 4L, 2L, 2L, 5L, 6L, 5L,          4L, 5L, 3L, 6L, 4L, 4L, 6L, 5L, 5L, 2L, 3L, 4L, 2L),          DNeighbour = c(0, 198.019468562461, 209.519626951605,          213.072315895194, 323.226644449419, 423.51995637463,          445.645549440366, 452.256604407457, 460.048161707605,          467.55097101295, 589.564258684104, 657.389106557104,          658.552450270703, 718.515845037417, 751.090147231266,          811.180934048688, 885.534578463985, 931.570392878143,          1016.41046776497, 1027.60105766362)), row.names = c("264",      "656", "415", "503", "955", "511", "663", "531", "235", "219",      "564", "892", "259", "541", "970", "229", "695", "3", "225",      "380"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.927111763334333,      0.918584337511989, 0.915861030644824, 0.811911867695721,      0.689127514591481, 0.659222914694847, 0.650126069975001,      0.639316031670353, 0.628819898320037, 0.45002004588977, 0.348977509332378,      0.347266741619465, 0.261219093605617, 0.21693393255163, 0.142022644391472,      0.0662485820983827, 0.0317443608552969, 0.000469217791563318,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1304391779 
R squared (OOB):                  -0.0869079 

$Forests[[265]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(295000, 320000, 320000,      288000, 312000, 336000, 330000, 330000, 315000, 338000, 295000,      305000, 315000, 349000, 345000, 388000, 365000, 350000, 313000,      339000), floor_area_sqm = c(84, 104, 84, 84, 101, 102, 115,      103, 103, 102, 101, 99, 102, 103, 102, 92, 92, 102, 99, 102     ), storey_order = c(4L, 4L, 4L, 3L, 2L, 3L, 1L, 1L, 2L, 4L,      1L, 1L, 2L, 2L, 4L, 1L, 1L, 4L, 4L, 3L), remaining_lease_mths = c(875,      893, 885, 893, 933, 916, 898, 928, 926, 922, 917, 921, 913,      832, 926, 1134, 1135, 923, 918, 923), PROX_CBD = c(18.4249149071789,      18.4249149071789, 18.3433564216417, 18.3632948597919, 18.4625985868209,      18.5506225538857, 18.4399301385868, 18.5768909080638, 18.5458637520931,      18.1611534549189, 18.4986491838169, 17.9733391318796, 17.9994058772431,      18.0642207733449, 18.236688278315, 17.8160591469996, 17.8160591469996,      18.0569924715364, 17.8728040148932, 17.9456645257603), PROX_ELDERLYCARE = c(0.705240184131779,      0.705240184131779, 0.623669944895056, 0.645296274244347,      0.765079897684544, 0.859723249528503, 0.789710764787337,      0.912532633143698, 0.890661700747245, 0.519233937445895,      0.86418951980865, 0.376016337241346, 0.430537495183344, 0.558648465009425,      0.732088251039709, 0.101440000613482, 0.101440000613482,      0.59750504274373, 0.330981516384048, 0.476454782767532),          PROX_HAWKER = c(1.0161652570538, 1.0161652570538, 0.960648791795978,          0.921741667576702, 0.906262708365532, 0.958117298193611,          1.26661829972954, 0.935860141611343, 0.898999046399804,          0.617364695979906, 0.838043969781633, 0.501520555884575,          0.472244893923117, 1.20831273824173, 0.537987121264097,          0.755409785256781, 0.755409785256781, 0.391180253405874,          0.446535534086157, 0.3648710200987), PROX_MRT = c(0.906393011935236,          0.906393011935236, 0.899458799363821, 0.927224403125457,          0.897303014326537, 0.942174684471822, 0.715824290886542,          0.912233851204259, 0.87509641959225, 0.623413162025338,          0.812751343363136, 0.52882455357406, 0.492638498779759,          0.387700307898407, 0.511061821383635, 0.729659889526201,          0.729659889526201, 0.384524332485438, 0.4868918768976,          0.385567417899789), PROX_PARK = c(1.13759587953072, 1.13759587953072,          1.17596756648915, 1.22890358268929, 1.31620863428189,          1.32670572464855, 0.859791414716402, 1.41172869826724,          1.4387346144793, 1.52418818882418, 1.49181484955502,          1.62685700377268, 1.65421298847909, 1.04306097562022,          1.7164330470264, 1.49250729308795, 1.49250729308795,          1.77011013021076, 1.69875568186822, 1.76180373116006),          PROX_GOOD_PRISCH = c(9.03817471771729, 9.03817471771729,          8.95760590087653, 8.96505409295358, 9.04019528068803,          9.12094588228633, 9.10971468714541, 9.13217936844248,          9.09837600782165, 8.72758527833631, 9.04519470993137,          8.54142359534323, 8.5589292690065, 8.76549326341746,          8.76378557853615, 8.44175881664207, 8.44175881664207,          8.58956131155308, 8.43952013253886, 8.49089982759618),          PROX_MALL = c(0.204519313237763, 0.204519313237763, 0.22079632378696,          0.282416841692855, 0.414588198127445, 0.46921205797367,          0.107021299056373, 0.390092702495136, 0.359721010486642,          0.475604736810637, 0.305101649121832, 0.395841490391381,          0.446560923090423, 0.424594513900518, 0.240339889961931,          0.183177100903513, 0.183177100903513, 0.407254736414821,          0.330972758922268, 0.428159644756295), PROX_CHAS = c(0.20451929737041,          0.20451929737041, 0.167893491583302, 0.231219576578415,          0.399223798550346, 0.469212052170377, 0.107021320216693,          0.390092699752756, 0.359721009550721, 0.405258493214775,          0.305101651313883, 0.364030465322827, 0.324811070171065,          0.124680964632411, 0.184864523484869, 0.183177099178452,          0.183177099178452, 0.222103720735081, 0.330972805611547,          0.218909691095897), PROX_SUPERMARKET = c(0.204519239868594,          0.204519239868594, 0.220795796105544, 0.282416494634945,          0.414588227521533, 0.469212308573368, 0.107021556198121,          0.390093045846372, 0.359721304530864, 0.475604214408431,          0.305101855713295, 0.356071330024396, 0.408691343873882,          0.424593495373258, 0.240339157209448, 0.137568853383185,          0.137568853383185, 0.385535197909366, 0.300218301814749,          0.365864675212809), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L,          2L, 2L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(7L, 7L,          8L, 8L, 6L, 6L, 4L, 5L, 5L, 5L, 6L, 3L, 4L, 2L, 6L, 8L,          8L, 4L, 4L, 3L), WITHIN_350M_BUS = c(9L, 9L, 8L, 8L,          8L, 8L, 7L, 9L, 9L, 10L, 9L, 11L, 9L, 7L, 7L, 15L, 15L,          9L, 8L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 5L,          5L, 3L, 4L, 4L, 6L, 4L, 7L, 7L, 6L, 6L, 6L, 6L, 6L, 7L,          6L), DNeighbour = c(0, 7.03656316972185, 76.6249055340987,          87.1038974924032, 211.195970774048, 281.620033553164,          311.757261437527, 372.673701386591, 384.105534456083,          394.721535809237, 405.988405593637, 540.639293140963,          552.692209652575, 556.633072157839, 580.950891786625,          606.614861534004, 610.046692188946, 632.437764783942,          634.931259137607, 656.042060626479)), row.names = c("265",      "738", "953", "864", "729", "291", "247", "828", "576", "330",      "684", "179", "177", "773", "227", "53", "402", "491", "992",      "20"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999769928498203,      0.972902197676981, 0.965054047280186, 0.80346959849656, 0.665409142032363,      0.599348727108304, 0.458740161494408, 0.431915006128072,      0.407033677568411, 0.380726957825068, 0.102958631052518,      0.0842470386850117, 0.0784537156560313, 0.0465784940711329,      0.0210269360276058, 0.0183075306305062, 0.00499356385714037,      0.00400974949620637, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       722701140 
R squared (OOB):                  -0.1713346 

$Forests[[266]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(352000, 410000, 378000,      360000, 388000, 380000, 377000, 492500, 380000, 385000, 355000,      370000, 430000, 345000, 650000, 655000, 640000, 663000, 655000,      676000), floor_area_sqm = c(84, 103, 84, 83, 98, 92, 98,      108, 93, 91, 84, 84, 104, 84, 104, 87, 87, 87, 87, 87), storey_order = c(2L,      2L, 3L, 3L, 2L, 1L, 3L, 2L, 3L, 1L, 3L, 3L, 2L, 1L, 3L, 1L,      4L, 4L, 5L, 3L), remaining_lease_mths = c(800, 799, 799,      803, 728, 767, 735, 912, 790, 715, 782, 777, 781, 789, 815,      1123, 1121, 1124, 1121, 1120), PROX_CBD = c(8.28689365911172,      8.31972436488376, 8.15960948514705, 8.52567265657093, 8.19895861369783,      8.01258306529517, 8.07728506382532, 8.12312779702036, 7.92065359752155,      8.8262745849674, 7.37752466520609, 7.32999369210923, 7.27303659463988,      7.23308787648785, 7.71625132507906, 9.39818328429371, 9.42381765287156,      9.49727834386093, 9.49727834386093, 9.49727834386093), PROX_ELDERLYCARE = c(1.3668692597991,      1.3912791419992, 1.45090119588013, 1.23693676843424, 1.1658248464307,      1.38923408288603, 1.22552837794249, 1.71708078323557, 1.44631042678071,      0.896855030989675, 1.11141904944431, 1.04617467786566, 0.949520652768775,      0.804640181087392, 1.13999552495818, 0.718190414835305, 0.750155484045513,      0.735218745429302, 0.735218745429302, 0.735218745429302),          PROX_HAWKER = c(0.269406334629514, 0.252588085280054,          0.40344417957638, 0.0724679807682574, 0.391405491562813,          0.532883444787396, 0.503102516785602, 0.581802643409563,          0.646393168274836, 0.311054993693233, 1.06790139631185,          1.00458194418859, 0.905159668549179, 0.727393295990439,          0.888477780938884, 0.640059738279374, 0.667492197519696,          0.639074974233661, 0.639074974233661, 0.639074974233661         ), PROX_MRT = c(0.467794692056616, 0.44379796826936,          0.408889372474398, 0.510058766918036, 0.707144761815547,          0.57194553577364, 0.711885268750489, 0.142211914808532,          0.434970780163821, 0.17731989795878, 0.450606800129455,          0.446590670593176, 0.477339162120678, 0.626719191507479,          0.227897729387739, 0.401734036242065, 0.423547456258288,          0.499971219475903, 0.499971219475903, 0.499971219475903         ), PROX_PARK = c(0.570592214216024, 0.59965919275643,          0.650146210437373, 0.557643312318536, 0.372450573927522,          0.580004121625521, 0.413960848298732, 0.921087542045637,          0.790688256163915, 0.458605630557841, 1.30417314517193,          1.30043300411079, 1.28136359713013, 1.17683143601381,          0.374132090410645, 0.220484561261844, 0.258916726718906,          0.298527066745392, 0.298527066745392, 0.298527066745392         ), PROX_GOOD_PRISCH = c(2.99359805566516, 3.04207330950824,          2.95345383530684, 3.13534109620979, 2.73491137460549,          2.75227504535898, 2.66084492380109, 3.16123688190063,          2.86596411907387, 2.8424495793979, 2.87682745937193,          2.81856751915823, 2.72285479219865, 2.53413597667736,          1.93537396204111, 2.27458198186913, 2.24680049319454,          2.17599822879711, 2.17599822879711, 2.17599822879711),          PROX_MALL = c(2.09618768409308, 2.10790194839897, 2.20417563031698,          1.96281231550532, 1.94983703099632, 2.11322307221905,          2.0316459728171, 2.25269448786787, 2.02812113432733,          1.64561868645684, 1.52964479685301, 1.4733570331857,          1.40144317349524, 1.33824767405872, 1.9342939090943,          1.45650167595406, 1.48330987402926, 1.45007786498113,          1.45007786498113, 1.45007786498113), PROX_CHAS = c(0.229330661012247,          0.261198443001062, 0.102408834624747, 0.169369143123463,          0.293834776478611, 0.1333322783253, 0.279534674537085,          0.169904154790832, 0.0418426354504526, 0.221229860630612,          0.123680988169118, 0.100781853121145, 0.150676124399865,          0.335243362149438, 0.147762521806201, 0.109789289200213,          0.0719365450960561, 0.101351467161616, 0.101351467161616,          0.101351467161616), PROX_SUPERMARKET = c(0.266710264104055,          0.272257424647181, 0.391977689272912, 0.169391527985645,          0.293834967432244, 0.475213328012689, 0.412975566732202,          0.496146947525001, 0.6226371739075, 0.221249484047241,          0.15284622075069, 0.154588063793208, 0.216512452964216,          0.400791637001426, 0.185503456748824, 0.13637298984998,          0.100679215951394, 0.0715849245259307, 0.0715849245259307,          0.0715849245259307), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 3L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 3L,          2L, 3L, 3L, 2L, 2L, 1L, 3L, 2L, 5L, 4L, 4L, 2L, 3L, 6L,          6L, 6L, 6L, 6L), WITHIN_350M_BUS = c(7L, 9L, 7L, 8L,          7L, 6L, 6L, 8L, 6L, 5L, 9L, 8L, 7L, 4L, 6L, 6L, 5L, 4L,          4L, 4L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 2L, 1L, 2L,          2L, 1L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L         ), DNeighbour = c(0, 49.0994085662574, 136.177119180559,          240.927611104156, 276.379960280347, 292.292078531053,          329.413031643704, 360.732366224508, 371.989017832288,          582.185731644702, 973.490285911554, 1005.75849289223,          1040.83598781089, 1054.94380672073, 1059.27479818075,          1143.30421734816, 1161.5543925951, 1234.66939513785,          1237.92066161598, 1246.28863681907)), row.names = c("266",      "540", "327", "404", "29", "200", "395", "669", "1", "814",      "948", "187", "611", "171", "809", "657", "9", "466", "731",      "593"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996898240757314,      0.97626437337216, 0.926654399615782, 0.904061406122784, 0.893016830289753,      0.865155721429053, 0.839461706215972, 0.829759267665333,      0.611186809085541, 0.15199467978734, 0.121624041589725, 0.0915226547142731,      0.0803673966571995, 0.0770596619867293, 0.0251024627284711,      0.0172543944291133, 0.000344444983962535, 0.000179119386862246,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       20619215887 
R squared (OOB):                  -0.1976697 

$Forests[[267]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 418000, 425000,      395000, 425000, 382000, 459000, 418000, 445000, 462000, 447888,      443000, 318000, 442500, 418888, 450000, 345000, 390000, 415000,      358000), floor_area_sqm = c(92, 92, 93, 93, 93, 93, 93, 92,      93, 93, 93, 93, 90, 92, 92, 92, 90, 92, 92, 104), storey_order = c(5L,      3L, 5L, 2L, 4L, 1L, 4L, 5L, 4L, 5L, 5L, 5L, 3L, 6L, 3L, 4L,      5L, 1L, 2L, 4L), remaining_lease_mths = c(1137, 1134, 1134,      1138, 1134, 1111, 1138, 1142, 1133, 1134, 1137, 1134, 968,      1138, 1136, 1135, 937, 1132, 1132, 815), PROX_CBD = c(14.2919055230493,      14.318757359464, 14.3486805845321, 14.318757359464, 14.318757359464,      14.29200158436, 14.1715462602585, 14.4012043650842, 14.1149653809405,      14.1475961545785, 14.1475961545785, 14.1475961545785, 14.1338242827509,      14.4158973706441, 14.4158973706441, 14.5310939664424, 14.2787185061121,      14.6424103631698, 14.6122009832922, 14.0960645211931), PROX_ELDERLYCARE = c(2.08663557441472,      2.13920478430288, 2.08279710659019, 2.13920478430288, 2.13920478430288,      2.00367987562091, 2.09595649451453, 1.94149260139439, 2.12564955085825,      2.03155968851809, 2.03155968851809, 2.03155968851809, 2.28550514148655,      1.86115765343828, 1.86115765343828, 1.79186944623163, 1.77826193055387,      1.72557175775889, 1.68824062303628, 1.70531999087377), PROX_HAWKER = c(1.13160866269818,      1.17625726432186, 1.11865892678262, 1.17625726432186, 1.17625726432186,      1.05572120633707, 1.11030496241672, 0.977925494011815, 1.06810792734919,      1.0452124348096, 1.0452124348096, 1.0452124348096, 1.19906286300234,      0.900970586039013, 0.900970586039013, 0.816792492128141,      0.865181709866835, 0.740384095011384, 0.707122679385598,      0.845358517598031), PROX_MRT = c(0.215635082050947, 0.277525006355607,      0.228370105834555, 0.277525006355607, 0.277525006355607,      0.129588785375857, 0.236487582928319, 0.117672709296806,      0.282489779359316, 0.206896355650083, 0.206896355650083,      0.206896355650083, 0.414064606154384, 0.0830542408041225,      0.0830542408041225, 0.197201307651512, 0.14195902454703,      0.312698200175978, 0.295449456212788, 0.217341234217998),          PROX_PARK = c(1.71136953372848, 1.77227256709076, 1.76668334590621,          1.77227256709076, 1.77227256709076, 1.659682039687, 1.59201213147604,          1.73691437359179, 1.55223981690243, 1.52292224478236,          1.52292224478236, 1.52292224478236, 1.68789157401301,          1.70853765465547, 1.70853765465547, 1.79335149216305,          1.51686048726609, 1.78460824921244, 1.76906915549279,          1.27300714898888), PROX_GOOD_PRISCH = c(5.62322031775431,          5.68167095374807, 5.67955556528646, 5.68167095374807,          5.68167095374807, 5.57470277830303, 5.50129862889456,          5.65284274036128, 5.45814117537329, 5.43570837857945,          5.43570837857945, 5.43570837857945, 5.57754198399205,          5.62289607338158, 5.62289607338158, 5.7030752613132,          5.42826997650874, 5.77937603269072, 5.7298925008129,          5.17863906457975), PROX_MALL = c(0.517951444315281, 0.582562895872492,          0.571430807201143, 0.582562895872492, 0.582562895872492,          0.462705775504015, 0.405991175981987, 0.544441659044551,          0.377565489031552, 0.329425359540921, 0.329425359540921,          0.329425359540921, 0.547412994688805, 0.475045953779526,          0.475045953779526, 0.466036051693473, 0.338911837083335,          0.482269498416602, 0.426875162675013, 0.243284841315127         ), PROX_CHAS = c(3.54155757628082e-08, 0.0707174365033835,          0.0590253437170886, 0.0707174365033835, 0.0707174365033835,          0.0888572682655253, 0.12657377242065, 0.0706873614354785,          0.179884741524278, 0.188783823394846, 0.188783823394846,          0.188783823394846, 0.219091723429967, 0.0420419616737589,          0.0420419616737589, 0.162368565956873, 0.18872293939054,          0.280031834846542, 0.270793953405505, 0.132339190026647         ), PROX_SUPERMARKET = c(0.199383936085002, 0.25307995359875,          0.199153546859355, 0.25307995359875, 0.25307995359875,          0.124391003677116, 0.248308073473709, 0.0706874850207218,          0.299769914037237, 0.235757849482592, 0.235757849482592,          0.235757849482592, 0.41091265647621, 0.0420421510628514,          0.0420421510628514, 0.162368758687164, 0.188722783027928,          0.280032026158491, 0.270794118098451, 0.226949559622758         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 0L, 2L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 4L, 4L, 4L, 5L,          5L, 5L, 6L, 6L, 6L, 6L, 3L, 5L, 5L, 4L, 6L, 3L, 5L, 7L         ), WITHIN_350M_BUS = c(4L, 3L, 4L, 3L, 3L, 5L, 5L, 6L,          5L, 6L, 6L, 6L, 3L, 7L, 7L, 8L, 8L, 6L, 6L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 3L, 4L, 4L,          3L, 4L, 3L, 4L, 5L), DNeighbour = c(0, 61.0428631405054,          61.4184145961433, 69.909948388234, 70.4969170531649,          94.4326050093382, 124.044606780934, 160.269592425931,          179.29395900474, 189.696743447319, 192.51062604995, 192.539019812858,          218.43062091562, 231.20977461719, 231.773775022514, 337.222131766789,          350.274182722614, 449.390637074628, 457.333168636828,          553.71762568265)), row.names = c("267", "58", "217",      "840", "205", "989", "277", "633", "519", "207", "623", "966",      "120", "33", "100", "609", "329", "323", "489", "880"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.975841164815677, 0.975544833104477, 0.968373148128309,      0.967844193268385, 0.942676174375785, 0.902147403949952,      0.839464315486814, 0.801299494361438, 0.779042419563141,      0.772862610706767, 0.772799915358308, 0.712986701377751,      0.681688818443049, 0.680283200433165, 0.395768303992227,      0.359801518736876, 0.116502586394251, 0.10101981479002, 0     ), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1098655161 
R squared (OOB):                  0.2805361 

$Forests[[268]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(688000, 468888, 480000,      535000, 653000, 5e+05, 742000, 729999, 745000, 682000, 5e+05,      478000, 4e+05, 4e+05, 360000, 7e+05, 413888, 363000, 649888,      533000), floor_area_sqm = c(90, 92, 92, 92, 91, 91, 92, 100,      100, 100, 91, 92, 104, 92, 92, 95, 88, 97, 87, 88), storey_order = c(6L,      3L, 3L, 3L, 2L, 1L, 7L, 6L, 10L, 10L, 2L, 4L, 4L, 3L, 2L,      3L, 2L, 4L, 3L, 1L), remaining_lease_mths = c(985, 701, 692,      694, 1121, 690, 1104, 1122, 1122, 1120, 706, 716, 745, 708,      719, 1100, 668, 701, 1103, 653), PROX_CBD = c(9.84174458192399,      9.79963982832759, 9.76973796844692, 9.76973796844692, 9.51816518584724,      10.2183960492338, 9.57467117229508, 9.41601606571959, 9.28682806708392,      9.28682806708392, 10.2657373615824, 9.58813304663833, 9.4187827620762,      10.1748545259067, 10.2629321739313, 7.97001655790022, 7.88501742637481,      12.1013944735855, 7.02256530608061, 6.92829321613491), PROX_ELDERLYCARE = c(0.339166460968835,      0.390845215421192, 0.487200680071974, 0.487200680071974,      0.0590206014568566, 0.670964346371623, 0.0836678964153836,      0.14515851054369, 0.306248896776786, 0.306248896776786, 0.519949541574078,      0.251441869005946, 0.579996323717894, 0.889757070081441,      1.00265829049513, 0.682273370470252, 0.487583248392117, 2.41403538414825,      0.467453442926814, 0.389684735109723), PROX_HAWKER = c(0.272020065995023,      0.315572935590663, 0.323134910569429, 0.323134910569429,      0.5145461029689, 0.161327078165055, 0.628838904549623, 0.552624576950901,      0.449541776391294, 0.449541776391294, 0.527790221924738,      0.391674386653945, 0.508914568418093, 0.304343114187016,      0.370496257898541, 0.840126401207934, 0.645875214067525,      0.561617227785994, 0.207247650371579, 0.133504850959355),          PROX_MRT = c(0.348847208140378, 0.308409661615337, 0.307725216106606,          0.307725216106606, 0.689820066215858, 0.352113639571012,          0.731513991246432, 0.796240617220745, 0.819017740329599,          0.819017740329599, 0.351828842975553, 0.707146681079003,          1.21403827268849, 1.12559589355515, 1.21137251272603,          0.726942522279936, 0.707952731476156, 1.71497473755306,          0.409658939160285, 0.407218977151475), PROX_PARK = c(0.429024269124863,          0.556935587195362, 0.692980820038259, 0.692980820038259,          0.506309566114581, 0.412720152963846, 0.402026431996325,          0.579398729399101, 0.754667699158598, 0.754667699158598,          0.752867192571236, 0.630094576064042, 0.633868788719276,          0.326884491561474, 0.429817985649402, 0.618444971248099,          0.511064020035708, 0.181629272169071, 0.380160428577633,          0.377410917604964), PROX_GOOD_PRISCH = c(0.999365026226873,          0.97109568154285, 0.945616550360875, 0.945616550360875,          1.35033962190844, 0.778258345851083, 1.37880970746963,          1.45792936689373, 1.50498632547922, 1.50498632547922,          0.402201611323318, 1.10432321767326, 1.8319493658717,          1.53712936271762, 1.58756538029025, 2.78644315018514,          2.82520953766913, 1.52909264222103, 2.07008813823767,          2.0639866413545), PROX_MALL = c(0.188176716989659, 0.277854565241424,          0.3113714109904, 0.3113714109904, 0.508727078362918,          0.1993183735571, 0.493679276753517, 0.616886214909116,          0.732362808464395, 0.732362808464395, 0.347570072991699,          0.759347764163403, 0.308706652763352, 0.493589384976364,          0.573348708551386, 0.66906173274608, 0.535655644340599,          1.69674818443598, 0.395390786334096, 0.352244010010256         ), PROX_CHAS = c(0.139131199666608, 0.213793078898363,          0.164045702260751, 0.164045702260751, 0.0590210156667789,          0.176868193181362, 0.0836673580931749, 0.145158576319141,          0.30624919123722, 0.30624919123722, 0.329846033180528,          0.395290416984683, 0.308706623046814, 0.118978706369709,          0.166187985395119, 0.195243012850588, 0.102679570293108,          0.26797195188846, 0.278446199404133, 0.180332756228222         ), PROX_SUPERMARKET = c(0.139131268426574, 0.217115292225756,          0.329801606095394, 0.329801606095394, 0.0642147642973091,          0.245740902557878, 0.0769150331708007, 0.145877744762322,          0.309780650655361, 0.309780650655361, 0.353445486406562,          0.20799335196523, 0.31508799294366, 0.371852561025965,          0.394772134126693, 0.169510705521186, 0.158953339299884,          0.570395350553557, 0.0888694671696128, 0.0762755382886037         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 0L,          0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 3L, 3L, 1L, 6L,          2L, 1L, 1L, 1L, 4L, 2L, 4L, 3L, 1L, 0L, 1L, 1L, 3L, 5L         ), WITHIN_350M_BUS = c(9L, 11L, 11L, 11L, 7L, 6L, 7L,          8L, 7L, 7L, 10L, 7L, 3L, 8L, 7L, 7L, 5L, 10L, 10L, 7L         ), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 4L, 2L,          2L, 1L, 1L, 3L, 2L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L),          DNeighbour = c(0, 123.835200412434, 262.126417879558,          262.815931486207, 350.444387046234, 385.514846104156,          385.675696005961, 466.230476239417, 548.283916161588,          554.837406612567, 696.166699802205, 795.941378840875,          864.707691900851, 918.693888255265, 1016.76284940884,          1873.76852227249, 1956.82970750512, 2263.78894994806,          2887.10673437046, 2963.2887982592)), row.names = c("268",      "943", "926", "68", "983", "584", "551", "928", "308", "794",      "649", "640", "278", "245", "244", "904", "338", "40", "221",      "978"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996510277680392,      0.984411613882175, 0.984329820939831, 0.972223815589921,      0.966436028169405, 0.966408253559535, 0.951103874188718,      0.932703143466123, 0.93111362873264, 0.892661580396996, 0.860912444152981,      0.836948358033298, 0.817007082835346, 0.778398326451777,      0.3601945889998, 0.318014896104566, 0.173379302644697, 0.00257620256728342,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4689672729 
R squared (OOB):                  0.7406701 

$Forests[[269]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(550000, 515000, 518000,      470000, 315000, 330000, 310000, 630000, 520000, 515000, 638000,      838000, 680000, 582000, 815000, 650000, 760000, 485000, 545000,      680000), floor_area_sqm = c(105, 103, 84, 84, 87, 82, 82,      101, 108, 110, 105, 91, 76, 104, 91, 86, 91, 103, 86, 86),          storey_order = c(2L, 3L, 3L, 3L, 1L, 4L, 5L, 2L, 1L,          1L, 3L, 12L, 11L, 3L, 11L, 3L, 9L, 2L, 1L, 3L), remaining_lease_mths = c(786,          823, 781, 813, 633, 657, 656, 952, 860, 859, 918, 1106,          1071, 935, 1109, 1018, 1091, 855, 1025, 1025), PROX_CBD = c(6.4090346428634,          6.41432963568309, 6.59778313634683, 6.30150758144434,          5.88382015009973, 6.06674643703895, 5.9699685911294,          5.76616775136128, 7.50210394472385, 5.31333197008925,          5.24252163748666, 5.38577040159704, 5.17664618337401,          5.4901102241405, 5.46273996086224, 5.26278746968545,          5.4124717534787, 7.70120549943486, 5.19905620756448,          5.19905620756448), PROX_ELDERLYCARE = c(0.336883008423279,          0.101150617829923, 0.619464736019043, 0.0580157957368266,          0.599695566252105, 0.10409496222889, 4.28110190953706e-07,          0.708186986363007, 0.808331791227546, 0.301885421229742,          0.232760622048558, 0.343873602324804, 0.203403853153192,          0.157919913507301, 0.323825203617813, 0.310343810032976,          0.277453528347438, 0.883817181840043, 0.3148233892717,          0.3148233892717), PROX_HAWKER = c(0.729024203622067,          0.639366917684312, 1.00589931737343, 0.511576723994062,          0.302293625820731, 0.346985863757343, 0.247906315943116,          0.25612232537118, 0.932792437987216, 0.15027253820603,          0.316098981667774, 0.225377370173431, 0.242990200436355,          0.258924665495, 0.17988889362956, 0.356302899600742,          0.214745652304629, 0.72907919143595, 0.424686940189847,          0.424686940189847), PROX_MRT = c(0.631935879685516, 0.753240517287136,          0.372865816575034, 0.911216039334219, 0.37771060533367,          1.1005845300218, 1.03854772657135, 0.0934691468297738,          0.506174946521629, 0.839256513816073, 0.353807427048722,          0.452916639575337, 0.347215067697513, 1.30755754576723,          0.495510769155532, 0.321982757522174, 0.525678460826462,          0.692418360175919, 0.253583166891469, 0.253583166891469         ), PROX_PARK = c(0.73120409495038, 0.941128983241434,          0.432673847047101, 0.950460734805334, 1.09766236241216,          0.741200181243785, 0.792968228054446, 1.02675087524374,          0.621272392201987, 0.919693677764514, 0.540897442657821,          0.680409922157526, 0.502895249788983, 0.803347187860442,          0.816564732509704, 0.550000337404237, 0.766524211973089,          0.450335295656325, 0.482110245392283, 0.482110245392283         ), PROX_GOOD_PRISCH = c(1.19038460547274, 1.35156641752108,          0.909917905905181, 1.50990256016426, 1.61186682958131,          1.85819018299306, 1.89588922913119, 1.65694818911091,          0.343243332218702, 2.32631552336422, 2.20280244575696,          2.04281306492033, 2.27859573799937, 2.45379201830723,          1.99475835919692, 2.16237499594262, 2.04167837943161,          0.490611064856358, 2.22494939608982, 2.22494939608982         ), PROX_MALL = c(0.56447134405004, 0.713954983197348,          0.324462922438517, 0.872189526609738, 0.966526596905427,          1.22044581333525, 1.25835483053691, 0.834887080030876,          0.584674138925751, 0.752077094160308, 0.315823950773482,          0.513452616263142, 0.285366785950761, 1.21674302842157,          0.68208602871978, 0.38523327442887, 0.636573036587929,          0.779066462317335, 0.31885342913617, 0.31885342913617         ), PROX_CHAS = c(0.141339892509329, 0.15014885052256,          0.0558741615176373, 0.0940735950578242, 0.256579842259861,          0.252393584019624, 0.21461630683628, 0.143086854941205,          0.169910439255117, 0.111194343620761, 0.0731998871787336,          0.180097972613039, 0.0737889624358689, 0.233242749827373,          0.185272865297861, 0.188692357663819, 0.208534953207918,          0.0405139203460024, 0.211748617283041, 0.211748617283041         ), PROX_SUPERMARKET = c(0.360911693423373, 0.519047869620273,          0.173430033183904, 0.469210677159174, 0.27867057765081,          0.321431524942613, 0.227231659318009, 0.318319510093507,          0.26407208892283, 0.370675298005651, 0.266280670019211,          0.397689630461078, 0.177322353300672, 0.37596142908425,          0.544212695479659, 0.267150206458008, 0.496000676868079,          0.0588346413192393, 0.199301193911681, 0.199301193911681         ), WITHIN_350M_KINDERGARTEN = c(0L, 2L, 1L, 2L, 1L, 0L,          0L, 2L, 2L, 1L, 3L, 4L, 1L, 0L, 1L, 4L, 1L, 4L, 4L, 4L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 3L, 4L, 4L, 2L,          2L, 1L, 3L, 3L, 5L, 7L, 7L, 3L, 4L, 5L, 4L, 4L, 6L, 6L         ), WITHIN_350M_BUS = c(9L, 7L, 7L, 7L, 8L, 6L, 8L, 8L,          4L, 12L, 10L, 8L, 9L, 10L, 8L, 9L, 7L, 4L, 9L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 2L, 4L, 4L, 5L, 4L, 4L, 1L, 3L, 4L, 3L, 4L, 3L, 3L,          3L, 3L, 2L, 3L, 3L), DNeighbour = c(0, 263.073019268543,          304.953639318502, 379.755203909047, 537.744203289311,          706.68984454364, 720.831134526281, 855.345052025393,          1136.21467316329, 1152.42009910151, 1186.35404110912,          1215.66762900724, 1239.25839836359, 1266.67369929619,          1292.7523843873, 1293.40473880032, 1308.22630220957,          1317.48282596731, 1335.9475482557, 1340.13262219039)), row.names = c("269",      "114", "957", "417", "201", "628", "920", "430", "460", "279",      "472", "116", "897", "307", "75", "199", "436", "811", "533",      "181"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.924414656716528,      0.899118898964874, 0.84584932654855, 0.703902312274485, 0.521175523936292,      0.50507263507811, 0.351212436452305, 0.079057467247367, 0.0678709743572634,      0.04679878761311, 0.0313730787590416, 0.0209895758625325,      0.0113688235661379, 0.00482466472082859, 0.00469504836223656,      0.00221368592083062, 0.0011233672557258, 3.88878016471565e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       20308273169 
R squared (OOB):                  0.09529423 

$Forests[[270]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 416000, 575000,      390000, 310000, 720000, 380000, 685000, 710000, 518000, 520000,      685000, 550000, 740000, 580000, 715000, 680000, 705000, 662000,      790000), floor_area_sqm = c(92, 91, 101, 84, 83.1, 93, 89,      93, 101, 93, 101, 102, 102, 95, 90, 95, 95, 90, 95, 95),          storey_order = c(2L, 4L, 6L, 1L, 3L, 3L, 5L, 2L, 2L,          4L, 1L, 4L, 3L, 4L, 5L, 6L, 4L, 7L, 3L, 6L), remaining_lease_mths = c(687,          713, 932, 783, 613, 1143, 653, 1142, 933, 736, 929, 929,          761, 954, 1035, 1099, 1084, 1041, 1093, 946), PROX_CBD = c(5.17330173892321,          5.10609859014938, 5.56255806753875, 4.91139217141794,          5.99387263807515, 6.10189119169168, 4.19301197437796,          6.19231755176043, 4.27954241101507, 4.29040868967057,          4.23995407977096, 4.15915934561343, 6.04257091454572,          4.09909964212454, 3.73787601157873, 6.06656257116635,          6.04001281876484, 3.66612298934168, 6.11286474740545,          4.0690703028165), PROX_ELDERLYCARE = c(0.151830290872251,          0.320090253923576, 0.0599829320550621, 0.53976690699019,          0.103488744511564, 0.230112759455232, 1.05465194719342,          0.355678840187058, 1.2084977158608, 1.28169673214061,          1.29004325258708, 1.31127122179184, 0.548656319889636,          1.44919747885979, 0.836612932336762, 0.516985202466339,          0.545921172841312, 0.851600940224316, 0.471592353212743,          1.5676876481467), PROX_HAWKER = c(0.261285820740611,          0.333568708255903, 0.248163252655802, 0.526793317066312,          0.131941483902414, 0.193610514045812, 0.297392426102438,          0.287310245845902, 0.32780610994166, 0.224814451985556,          0.242979724501726, 0.296724849746491, 0.19523132016882,          0.17841116959893, 0.15676751515481, 0.0900485470251793,          0.0606577495598573, 0.157376553669701, 0.0855319563513606,          0.124697776657811), PROX_MRT = c(0.568944969773001, 0.549226257235714,          0.389634730949481, 0.348715950460643, 0.422927302226303,          0.385901790532203, 0.670866804568908, 0.3593423355956,          0.45128979061194, 0.386818680985449, 0.369514902074349,          0.361454140857751, 0.448203274012385, 0.212082976996148,          0.349678715281184, 0.530436532640755, 0.53617676606472,          0.281331556481731, 0.576684647572531, 0.103251860461982         ), PROX_PARK = c(0.375618223612072, 0.534309547143458,          0.136342453682232, 0.454973393404149, 0.775542593632535,          0.835974869985028, 1.34668044149268, 0.861129399478803,          0.496161896442625, 0.41256712340984, 0.410157320226128,          0.424082148410156, 0.651264615899835, 0.271559050503854,          1.14436990313984, 0.548254609843109, 0.524571131123829,          1.07330463343821, 0.517760851715104, 0.13380185088312         ), PROX_GOOD_PRISCH = c(3.5160560831601, 3.68539306501406,          3.30515733544794, 3.07957394860643, 3.79476022833587,          3.72727940395598, 4.04417128338034, 3.647323571983, 3.1984009939005,          3.11124078456354, 3.17375518133788, 3.27316539077024,          2.14268529299874, 3.22696055518642, 4.42346384619917,          2.03651743937875, 2.00925132829891, 4.46068770698473,          2.00772186702724, 3.17062142916436), PROX_MALL = c(0.96360119165526,          1.13513631747826, 0.719385659919303, 0.779372162435287,          1.29238059557114, 1.26544404340832, 1.51326780463499,          1.22999734499907, 1.15459749844864, 1.14104925826379,          1.09860538958518, 1.03381347643634, 0.264532440460292,          0.944512912155433, 1.03774509228272, 0.365617038961166,          0.387042201482337, 0.971442928620489, 0.403935094648282,          0.898524741072254), PROX_CHAS = c(0.213267381067323,          0.37199840586913, 0.174009235365936, 0.297280152993809,          3.57955945681819e-08, 0.131092152612185, 0.212246176955017,          0.255647811562625, 0.151798893835737, 0.0683025043642396,          0.128246501394164, 0.22718451096924, 0.12619956254809,          0.199996678091121, 0.0809467071188201, 0.0929349198733403,          0.134421273847083, 0.108213750221125, 0.0679258481743644,          0.162166521351491), PROX_SUPERMARKET = c(0.266791583668656,          0.424647979009491, 0.173881454941229, 0.212061147632098,          0.147638600898363, 0.0250108723026275, 0.306178228663922,          0.108411284353298, 0.314587216673928, 0.200251285306447,          0.23908756643158, 0.31622643534726, 0.178930757423705,          0.232527384837024, 0.184584314799668, 0.0785030623714358,          0.0393286469640316, 0.131005301990959, 0.0895469396191502,          0.209119590970966), WITHIN_350M_KINDERGARTEN = c(2L,          0L, 1L, 1L, 1L, 1L, 0L, 0L, 3L, 3L, 4L, 4L, 0L, 5L, 1L,          1L, 1L, 1L, 1L, 4L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 4L, 10L, 4L, 9L, 3L,          3L, 4L, 3L, 3L, 8L), WITHIN_350M_BUS = c(4L, 4L, 2L,          7L, 6L, 9L, 5L, 10L, 2L, 4L, 4L, 4L, 7L, 8L, 7L, 8L,          8L, 7L, 6L, 5L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L,          2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 0L, 1L, 1L, 0L,          1L, 1L), DNeighbour = c(0, 170.983671112819, 409.737676205727,          617.061370454363, 894.515148127661, 969.768177704639,          1003.06559218486, 1043.77083249553, 1236.18670769811,          1318.32813439643, 1323.49704921827, 1333.662372705, 1465.87345175783,          1473.86235106313, 1500.23785711778, 1562.44663570906,          1562.59333347142, 1566.62792339186, 1597.83236023922,          1603.02179785121)), row.names = c("270", "853", "596",      "251", "752", "812", "993", "305", "767", "286", "145", "763",      "453", "784", "823", "297", "930", "903", "536", "575"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.977375298305004, 0.873602304319747, 0.725604129273747,      0.474191748651927, 0.401981735243557, 0.370219540671769,      0.33181468815441, 0.164277697504413, 0.104752658556701, 0.101341066453156,      0.0947591433546244, 0.0268279549017021, 0.0239175631677,      0.015407389008333, 0.00249826664924051, 0.00248046444215525,      0.00201521513114834, 4.17844463402703e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12124402872 
R squared (OOB):                  0.400552 

$Forests[[271]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(505000, 5e+05, 540000,      505000, 490000, 380000, 475000, 510000, 495000, 540000, 350000,      374000, 433000, 565000, 575000, 580000, 376000, 420000, 520000,      580000), floor_area_sqm = c(92, 92, 90, 90, 92, 92, 90, 93,      93, 93, 105, 103, 92, 92, 92, 92, 102, 93, 92, 92), storey_order = c(4L,      3L, 3L, 6L, 3L, 1L, 5L, 3L, 3L, 4L, 1L, 2L, 4L, 3L, 4L, 4L,      5L, 2L, 1L, 4L), remaining_lease_mths = c(1051, 1049, 1067,      1033, 1038, 1037, 1031, 1076, 1076, 1075, 837, 862, 1084,      1127, 1137, 1140, 944, 1099, 1138, 1134), PROX_CBD = c(11.4388659085475,      11.4975151935682, 11.5237533038112, 11.6571985599938, 11.6213283462416,      11.6419253241709, 11.780035597066, 11.734228152501, 11.7824349405223,      11.8019303594103, 10.9742090734032, 11.0478583208432, 11.8702915361943,      11.6525204845234, 11.6525204845234, 11.6525204845234, 11.9885535057438,      11.8999896789117, 11.6952918230505, 11.7494815193957), PROX_ELDERLYCARE = c(0.529438756707198,      0.485429735975203, 0.374021376468387, 0.400746835300904,      0.621923465733728, 0.626216066088841, 0.389019901488026,      0.217445500321488, 0.213047345375207, 0.184707688528033,      0.852070403211021, 0.694826263841934, 0.670900780040593,      0.090696724945174, 0.090696724945174, 0.090696724945174,      0.468647269590137, 0.790393757138983, 0.0818897866131208,      0.0736890817471424), PROX_HAWKER = c(0.319632581294072, 0.320302217757218,      0.235307086042243, 0.38372613736418, 0.537052085835962, 0.553081930127745,      0.475091880549249, 0.366555491930585, 0.411134055372247,      0.425288384889406, 0.487483409830997, 0.33156405975617, 0.715369360111721,      0.325622570567264, 0.325622570567264, 0.325622570567264,      0.661637750611862, 0.820501997631561, 0.374319678668878,      0.418792449609449), PROX_MRT = c(0.264110896255266, 0.24936700359253,      0.148196296616071, 0.187661086924798, 0.182944945438028,      0.168432978085695, 0.149757666469573, 0.276453864170284,      0.323171872402698, 0.341923672362566, 0.534522073584246,      0.413251174688675, 0.146531371307633, 0.219824289848129,      0.219824289848129, 0.219824289848129, 0.253577460439113,      0.261250382411254, 0.18359152527436, 0.183595482094196),          PROX_PARK = c(0.653351036954048, 0.698336840868775, 0.808531626238996,          0.822874314333037, 0.643411448820926, 0.654970873229416,          0.915827670442916, 1.00928973198994, 1.04913519120928,          1.09015045463689, 0.623434891123849, 0.855372307789476,          0.8322137924942, 1.18955170998222, 1.18955170998222,          1.18955170998222, 0.965214735166117, 0.813614799778521,          1.23082333360032, 1.25382465781663), PROX_GOOD_PRISCH = c(2.45055199705462,          2.48345794754568, 2.43173748992112, 2.58492752090912,          2.69528593883292, 2.71543842399088, 2.67648686403773,          2.54247396470066, 2.5757070458522, 2.57167610218627,          2.09882394138718, 1.96973866183315, 2.91053685401804,          2.3279627535371, 2.3279627535371, 2.3279627535371, 2.84793008582659,          3.00567179865442, 2.35260315569007, 2.40225451049103),          PROX_MALL = c(0.840491697823826, 0.805279144871904, 0.840908486660855,          0.718523422751835, 0.597386337892971, 0.576398809288588,          0.657761426948524, 0.781937846313192, 0.732391369928616,          0.70263709534569, 0.606835933426222, 0.400154220571097,          0.385092319171944, 0.807719243520252, 0.807719243520252,          0.807719243520252, 0.581599658792334, 0.283076960540796,          0.785373664552542, 0.730910693989521), PROX_CHAS = c(0.210772889992189,          0.18789773503711, 0.0822817354855642, 0.162236141473446,          0.130352204164602, 0.118628580179885, 0.165734916528407,          0.203102352137365, 0.182294192745256, 0.144895120017984,          0.20965056306942, 0.193330180912365, 0.179381733260264,          0.162428164506486, 0.162428164506486, 0.162428164506486,          0.0548782345589675, 0.283076936045466, 0.141926234339659,          0.105514964386053), PROX_SUPERMARKET = c(0.189609627596398,          0.186124684843571, 0.113409172087645, 0.248678179468178,          0.0679201472407272, 0.0879874709963817, 0.328761363845442,          0.206717744357565, 0.186528474083994, 0.149354766345577,          0.477398814511427, 0.392366955335671, 0.31749021679057,          0.158766807317564, 0.158766807317564, 0.158766807317564,          0.41771106664497, 0.236972988988714, 0.137537075296593,          0.100761764224213), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 8L, 6L, 6L, 9L, 8L, 8L, 7L, 2L, 2L, 9L, 4L, 4L, 4L,          6L, 7L, 4L, 5L), WITHIN_350M_BUS = c(7L, 8L, 5L, 9L,          8L, 8L, 8L, 10L, 11L, 13L, 8L, 7L, 10L, 11L, 11L, 11L,          14L, 9L, 13L, 14L), WITHIN_1KM_PRISCH = c(5L, 4L, 4L,          5L, 6L, 5L, 6L, 5L, 7L, 6L, 6L, 6L, 5L, 6L, 6L, 6L, 7L,          5L, 6L, 6L), DNeighbour = c(0, 54.6262641763822, 149.218269339203,          223.068412479193, 248.445592262612, 264.87135535159,          341.021967063672, 367.303495786266, 415.288347944156,          451.025095499322, 465.838390987326, 479.895726286258,          480.887088260784, 535.590357858236, 539.536095727118,          540.405501726464, 556.347749885959, 561.017586894667,          571.732065972338, 596.973295721475)), row.names = c("271",      "553", "652", "977", "89", "421", "263", "409", "260", "342",      "239", "694", "110", "557", "580", "792", "486", "185", "917",      "281"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.983323644411103,      0.878945593418899, 0.740243393441894, 0.683595011205732,      0.645031895034112, 0.453833394314799, 0.386181615562369,      0.266320036296822, 0.184204019253355, 0.152943010772378,      0.125156539285525, 0.123272626296151, 0.0380540569340568,      0.0335515787823578, 0.0325933592816385, 0.0172853920742135,      0.013649802644564, 0.00685190724419908, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2431603289 
R squared (OOB):                  0.5473762 

$Forests[[272]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 398000, 437000,      495000, 525000, 530000, 420000, 460000, 550000, 490888, 412000,      455000, 589000, 510000, 498000, 550000, 532000, 475000, 455000,      460000), floor_area_sqm = c(93, 93, 93, 93, 97, 95, 93, 92,      95, 93, 90, 93, 96, 97, 93, 98, 96, 92, 92, 92), storey_order = c(2L,      1L, 2L, 5L, 3L, 4L, 1L, 3L, 4L, 5L, 3L, 4L, 6L, 2L, 2L, 4L,      4L, 5L, 5L, 3L), remaining_lease_mths = c(1071, 1077, 1076,      1080, 1098, 1106, 1101, 1107, 1115, 1141, 1034, 1096, 1111,      1104, 1102, 1103, 1111, 1098, 1108, 1097), PROX_CBD = c(14.2040057462849,      14.2040057462849, 14.2040057462849, 14.2035293519974, 14.3488328635023,      14.4087790426081, 14.3298082323417, 14.2518409016409, 13.9206851659757,      14.4799585140632, 13.9701294998534, 14.3469943525049, 13.8838492138892,      13.7787547800329, 13.8269911518463, 13.7784857598507, 13.8842234613226,      14.3437499696049, 14.2694643570804, 14.2694643570804), PROX_ELDERLYCARE = c(0.732225931930739,      0.732225931930739, 0.732225931930739, 0.685279068417721,      0.805205193908325, 0.87860471100088, 0.943112693551276, 0.985840321219444,      0.410984632703067, 1.06862824267944, 0.798789790509628, 1.07571195137499,      0.321249151015697, 0.357313426679343, 0.272443342502121,      0.303554199654945, 0.284905700992106, 1.14464302293932, 1.14423906696184,      1.14423906696184), PROX_HAWKER = c(0.429643877236979, 0.429643877236979,      0.429643877236979, 0.384064154962602, 0.28631929470226, 0.295591155505828,      0.494981643036057, 0.656651462258042, 0.63246529422046, 0.462243392197612,      0.796241674024292, 0.654543769257927, 0.661984274687099,      0.779750574682814, 0.718894335359525, 0.771130061467184,      0.667389882084889, 0.74882220835846, 0.826638245470088, 0.826638245470088     ), PROX_MRT = c(0.339881548667158, 0.339881548667158, 0.339881548667158,      0.289240493397468, 0.320519516131068, 0.258499173090988,      0.122691316210064, 0.189142279194464, 0.247793554682504,      0.082651796212049, 0.262922949537813, 0.131478587775223,      0.202599849124069, 0.373119808041594, 0.250191496834268,      0.334453451125385, 0.172676244118343, 0.217663394995295,      0.30438768875815, 0.30438768875815), PROX_PARK = c(0.735378016798131,      0.735378016798131, 0.735378016798131, 0.69423802629866, 0.585388118838944,      0.572778275466331, 0.760551135167525, 0.785709089572823,      0.9355470513087, 0.682350458092963, 0.929619749314005, 0.731552922713316,      0.953674473627188, 1.07510958061046, 1.00953333913803, 1.07038952907209,      0.946790994443363, 0.636899975343007, 0.599699049952129,      0.599699049952129), PROX_GOOD_PRISCH = c(4.87692111553996,      4.87692111553996, 4.87692111553996, 4.84858590291698, 4.99658730632735,      5.07040230577432, 5.05687720866847, 5.03443000866885, 4.55661004860153,      5.20136656590841, 4.76155598853922, 5.13548460888622, 4.48950135049007,      4.43794264479214, 4.43409233459216, 4.41640053984819, 4.46427355245829,      5.1680916684458, 5.12184985907385, 5.12184985907385), PROX_MALL = c(0.458083927679449,      0.458083927679449, 0.458083927679449, 0.37351280301214, 0.415696526053807,      0.48422641650143, 0.644100917109673, 0.535261743386166, 0.441605558767423,      0.64848155368644, 0.698652085628877, 0.480981762762808, 0.415387276861254,      0.579723774298741, 0.464449368072494, 0.546157830895501,      0.384398044205003, 0.38589862433106, 0.351657486288216, 0.351657486288216     ), PROX_CHAS = c(0.0920652608940773, 0.0920652608940773,      0.0920652608940773, 0.170907589664044, 0.232702657922268,      0.263312743704905, 0.116678641770301, 0.121511881264649,      0.230184731543739, 0.149921511006425, 0.224338502615803,      0.0578525184286013, 0.130388475133542, 0.2330532561781, 0.093713435160417,      0.171232412843018, 0.0936868185767241, 0.0401042229543167,      0.120456720485379, 0.120456720485379), PROX_SUPERMARKET = c(0.0920659899308881,      0.0920659899308881, 0.0920659899308881, 0.170908382081647,      0.232703172737007, 0.263313051629592, 0.116679779166118,      0.121511691834874, 0.23018467784701, 0.149922203205158, 0.281017798180362,      0.0704323341151683, 0.130388583033251, 0.233052713938452,      0.0937132175773042, 0.171231859107883, 0.093687407280864,      0.165776473264822, 0.244158473149448, 0.244158473149448),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 2L, 1L, 1L, 2L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 5L, 6L, 6L,          7L, 10L, 4L, 6L, 7L, 7L, 3L, 4L, 5L, 5L, 3L, 8L, 10L,          10L), WITHIN_350M_BUS = c(9L, 9L, 9L, 9L, 9L, 10L, 9L,          9L, 13L, 6L, 13L, 8L, 9L, 11L, 8L, 7L, 7L, 8L, 9L, 9L         ), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 6L, 5L, 5L,          6L, 5L, 4L, 8L, 4L, 5L, 8L, 5L, 6L, 5L, 5L, 6L, 6L),          DNeighbour = c(0, 3.86257305141699, 3.94351223425827,          86.8933873493625, 156.858095117366, 203.29869379072,          215.993543099132, 322.730053122127, 323.175266785299,          338.365357807451, 371.942483926465, 378.68430149539,          412.004414400406, 443.702309620301, 456.554619946862,          464.982779403419, 470.095335163536, 476.242960660683,          513.645353482633, 516.021659164372)), row.names = c("272",      "448", "911", "66", "363", "969", "688", "73", "516", "979",      "301", "488", "723", "549", "376", "837", "670", "70", "470",      "434"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999887943931914,      0.999883198656846, 0.944092998369901, 0.823735427168251,      0.713661922247773, 0.680287337982647, 0.370698736272168,      0.369384853259012, 0.324936718222239, 0.230845579198095,      0.212944443884247, 0.131419353058893, 0.0679406945109449,      0.047176775630631, 0.0353567622884213, 0.0289273422612056,      0.0219727507260094, 8.44357739613924e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1667816992 
R squared (OOB):                  0.4067235 

$Forests[[273]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 309000, 348000,      445000, 330000, 360000, 333000, 323000, 361000, 328000, 4e+05,      335000, 338000, 325000, 360000, 325000, 480000, 330000, 388000,      388000), floor_area_sqm = c(91, 91, 93, 100, 84, 103, 84,      92, 84, 84, 103, 84, 93, 85, 104, 84, 104, 84, 100, 104),          storey_order = c(3L, 2L, 4L, 3L, 3L, 1L, 3L, 2L, 4L,          4L, 3L, 2L, 5L, 1L, 2L, 5L, 2L, 4L, 4L, 3L), remaining_lease_mths = c(773,          774, 777, 949, 791, 798, 823, 690, 794, 806, 796, 796,          860, 830, 804, 812, 777, 806, 922, 751), PROX_CBD = c(9.63489497584329,          9.64616581570663, 9.5834162789491, 9.38671442358298,          9.73525531751342, 10.1540744969693, 9.85122377146013,          9.445702961959, 10.1908965186918, 10.2439629519707, 10.2571858212528,          10.2571858212528, 9.71808261065178, 10.1989356004427,          10.0879656312395, 9.87023127008802, 8.81196120759187,          9.63621863936401, 10.3133134299625, 10.2659136784881),          PROX_ELDERLYCARE = c(0.42629854090558, 0.306199433665808,          0.221128007339761, 0.197320443098403, 0.869795033999967,          0.85844301108046, 0.999223533815273, 0.0646727834979237,          0.891997547710976, 0.904720646157319, 0.969336561855173,          0.969336561855173, 0.288600487645686, 1.08623091115154,          1.31022889057949, 1.35138892750767, 0.68560621126507,          1.48805339077067, 1.4124150938613, 0.737818764037149),          PROX_HAWKER = c(0.908741650371918, 0.906506968115566,          0.844035637065003, 0.671765492644128, 0.687117415591119,          0.614574465644474, 0.526313717816828, 0.802499530175562,          0.594526114354717, 0.616195579705155, 0.543600998034675,          0.543600998034675, 1.10941781168001, 0.368744432216956,          0.196699811405185, 0.410023469086153, 0.290355020850324,          0.677896697868769, 0.0623262564011618, 1.65941342147148         ), PROX_MRT = c(0.669484450879797, 0.626377719466395,          0.679762822214213, 0.671695564859285, 0.86810604264512,          0.544743966599557, 0.907717901248049, 0.834535111428891,          0.554399001312584, 0.52596302633555, 0.5984056038899,          0.5984056038899, 0.750225097750018, 0.78040997284139,          1.09046737609619, 1.23646610314009, 0.425157896719621,          1.32502198166586, 1.09471398918577, 0.684374477874155         ), PROX_PARK = c(0.197084482081202, 0.106198450905693,          0.171128410914521, 0.409638708762546, 0.452373350223662,          0.578916018382343, 0.510337594738446, 0.508498628446561,          0.61263038213259, 0.626908579085899, 0.690393008756984,          0.690393008756984, 0.552878075981585, 0.808282577864154,          0.604882226694947, 0.375073916060521, 0.468007817587664,          0.202594030185392, 0.826294351272671, 0.570788416471153         ), PROX_GOOD_PRISCH = c(1.59153495480405, 1.71137279935344,          1.81796659730331, 1.96445822173508, 1.15234422615158,          1.40445923276907, 1.05242409875061, 2.16640973416033,          1.40421671412888, 1.44855804010835, 1.38840710840139,          1.38840710840139, 2.3197363622043, 1.199846441039, 0.87937610392538,          0.706117631385061, 2.18636815139252, 0.53169554186008,          0.993301788551023, 2.58742850928016), PROX_MALL = c(0.873569112263515,          0.808294932987377, 0.812301361871699, 0.704978058880463,          0.907839978504126, 0.685950169481642, 0.756051767526383,          0.855253012280219, 0.685823836221668, 0.644656189163291,          0.638527944164543, 0.638527944164543, 0.64580888250568,          0.663851500718272, 0.441232897113797, 0.445899708163642,          0.389401354829447, 0.564979440463645, 0.450275200033962,          0.364765391124967), PROX_CHAS = c(0.454068185577158,          0.415210445937219, 0.334146331647452, 0.181909444046462,          0.116614388177292, 0.170954716034814, 3.39583191183935e-08,          0.378465676389041, 0.151788880767358, 0.155315138624813,          0.0819899420632749, 0.0819899420632749, 0.122290728478786,          0.0710453772718398, 0.177420148260447, 0.0764125853219005,          0.210741683871549, 0.204909081807225, 0.071192987667569,          0.204257711541377), PROX_SUPERMARKET = c(0.717910522287554,          0.675617328849562, 0.581458245406798, 0.448356351676465,          0.458729641056945, 0.171715993026927, 0.350225948243757,          0.234896025437738, 0.152401712794372, 0.18505229065347,          0.123486578338512, 0.123486578338512, 0.190117050177684,          0.00115080458448496, 0.320748009942088, 0.158655939798418,          0.365648379234028, 0.145410708854306, 0.330151298165832,          0.384238743245603), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 2L, 0L, 0L, 0L, 3L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          1L, 2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L,          3L, 3L, 2L, 2L, 3L, 3L, 2L, 1L, 2L, 2L, 2L, 4L, 5L, 5L,          3L, 3L, 4L, 6L), WITHIN_350M_BUS = c(5L, 8L, 7L, 9L,          10L, 14L, 10L, 10L, 12L, 10L, 10L, 10L, 6L, 12L, 11L,          8L, 7L, 7L, 15L, 8L), WITHIN_1KM_PRISCH = c(3L, 4L, 4L,          2L, 4L, 5L, 4L, 2L, 6L, 6L, 5L, 5L, 2L, 4L, 5L, 5L, 1L,          3L, 4L, 2L), DNeighbour = c(0, 116.833243026633, 233.729352160763,          443.977831361168, 453.831251453094, 594.628455018692,          598.199682424838, 601.684842305089, 630.106105110083,          670.24326425971, 709.594633510307, 713.924336879046,          732.250490904688, 769.922469065232, 930.829693220463,          934.74471564027, 941.351273202519, 1056.42891434554,          1072.10135169595, 1096.86713709792)), row.names = c("273",      "785", "799", "373", "921", "560", "129", "67", "447", "668",      "494", "591", "624", "967", "292", "755", "465", "189", "513",      "77"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.977437659736579,      0.911248663677073, 0.699166963801299, 0.686924476917227,      0.498592749336309, 0.493605052052068, 0.488733152917616,      0.448894516610731, 0.392646358842129, 0.338123049332008,      0.332191564234932, 0.307284146734336, 0.257349404030242,      0.0783072590097056, 0.0749465316683154, 0.0694120282578925,      0.00523812078879006, 0.00199340065318422, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1577056004 
R squared (OOB):                  0.1705438 

$Forests[[274]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 423800, 390000,      4e+05, 390000, 450000, 478000, 435000, 430000, 550000, 410000,      548000, 425000, 360000, 447000, 429000, 422800, 438000, 420000,      462000), floor_area_sqm = c(104, 104, 102, 91, 103, 105,      104, 103, 103, 93, 104, 93, 104, 84, 107, 104, 104, 104,      105, 105), storey_order = c(2L, 2L, 2L, 1L, 1L, 2L, 5L, 4L,      2L, 3L, 2L, 4L, 3L, 2L, 3L, 2L, 4L, 2L, 2L, 1L), remaining_lease_mths = c(760,      756, 763, 783, 773, 757, 770, 819, 764, 1137, 761, 1135,      747, 762, 782, 822, 813, 812, 787, 965), PROX_CBD = c(11.6914583773846,      11.7174653186763, 11.6387779682198, 11.4963900230166, 11.9179556382635,      11.4573592114175, 11.927322045494, 11.381621166991, 12.3243460542753,      11.2116042179965, 12.2901811097239, 11.1809634086998, 12.4246534304877,      11.4815172953657, 11.7840832214562, 11.1191912667925, 11.1672746170477,      11.7215458353159, 12.7549887608908, 10.9320040827019), PROX_ELDERLYCARE = c(0.736997311630605,      0.74375074589335, 0.792216801753581, 0.672630859926948, 0.757050983431463,      0.52883250894194, 0.77464979732367, 0.382123855460196, 0.362207242709056,      0.369355324070756, 0.180150537957213, 0.333450295290741,      0.223353489993969, 0.182032582488253, 0.481333190444255,      0.213121327483379, 0.14075304944647, 0.240093333498969, 0.556485595404089,      0.83761180429981), PROX_HAWKER = c(0.558671781535233, 0.5637831570093,      0.61454926069889, 0.804785607263954, 0.581821713307667, 0.848364442784946,      0.445987433628815, 0.863892291353285, 0.290415492755609,      1.02311573056961, 0.155357947035291, 1.04207495818587, 0.283538945902673,      0.728271246274353, 0.436117874461739, 1.08329799955244, 1.04840790050398,      0.609281739536534, 0.627642822312809, 0.499252912381913),          PROX_MRT = c(0.140110279979828, 0.162940637784707, 0.0844107562606101,          0.132306565433056, 0.401552834915971, 0.275269590424193,          0.493642118682657, 0.424871345706255, 0.559245805822074,          0.524888394814585, 0.729338839878115, 0.580267989687754,          0.694199692700576, 0.756359380624344, 0.81394482428473,          0.776456939054752, 0.893429463565323, 0.989064774064853,          0.561554903993597, 0.582189406643083), PROX_PARK = c(1.50772581466401,          1.5229705853841, 1.51709061898346, 1.41209410927924,          1.26489639581012, 1.3775538710324, 1.17760662255222,          1.31830174708739, 1.218970746516, 1.15338615463339, 1.26762597166046,          1.13378306757762, 1.19561442246869, 1.50398184725757,          1.20101103678102, 1.13833451608328, 1.25063890429238,          1.28416187507733, 1.16122098497616, 0.802226928628916         ), PROX_GOOD_PRISCH = c(0.476923220580037, 0.440184840714675,          0.453346371612442, 0.364349890680966, 0.374797987706521,          0.277148461253506, 0.289303568244907, 0.288839241027683,          0.889618707353532, 0.456074275886943, 0.992456269301591,          0.485317217067727, 1.09898709469432, 0.365254403810308,          0.357669915539773, 0.586469336292635, 0.623353133039123,          0.585140695782779, 1.29435567579286, 1.4460454342776),          PROX_MALL = c(0.797799046209296, 0.750703947848918, 0.815834004295584,          0.844787863205902, 0.498039402667872, 0.815329638117364,          0.376851773239706, 0.849953313581112, 0.471904090765479,          1.01522535242687, 0.649064194608972, 1.03968747299659,          0.626909601034773, 0.763531318053358, 0.489619370966043,          1.10160019948421, 1.08293003315278, 0.690287469384684,          0.542723135774117, 1.37776203899083), PROX_CHAS = c(0.0474151678735614,          4.64133788220832e-08, 0.0804697697946077, 0.0697008731150885,          0.258806234431974, 0.179820414455961, 0.339292519878925,          0.115324197479935, 0.193597629002809, 0.206252010873132,          0.128297543182753, 0.216965800691496, 0.221655673315632,          0.0516610437101642, 0.0667093090499658, 0.143881852296294,          0.151540147087551, 0.164718468919614, 0.144180959238343,          0.293630149165848), PROX_SUPERMARKET = c(0.635527990773791,          0.609798994765399, 0.596048194106483, 0.441950593919319,          0.542179538393358, 0.301981775400679, 0.405378875546255,          0.186698572696543, 0.331501685351864, 0.222574928361305,          0.159863951308791, 0.212835414763751, 0.209750471448386,          0.19171128272723, 0.379080894647373, 0.246182427713253,          0.299482732316256, 0.169255457402684, 0.150188458093997,          0.445162931243089), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 4L, 0L, 2L, 0L, 2L,          2L, 2L, 2L, 2L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 2L, 2L, 4L, 2L, 4L, 4L, 4L, 5L, 3L, 5L, 5L, 3L, 5L,          6L, 6L, 3L, 0L), WITHIN_350M_BUS = c(6L, 5L, 6L, 8L,          7L, 7L, 9L, 10L, 4L, 6L, 3L, 7L, 4L, 14L, 7L, 9L, 14L,          10L, 7L, 0L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          3L, 4L, 3L, 6L, 2L, 5L, 2L, 5L, 3L, 4L, 2L, 2L, 3L, 5L,          4L), DNeighbour = c(0, 49.2955780989199, 57.981713792798,          243.498122128847, 310.976443633712, 374.669550925709,          432.937228470028, 525.18474430172, 643.804028796955,          648.256711348229, 662.089357267994, 702.642380011773,          789.894774476186, 819.340490671052, 823.862300764263,          883.661469616565, 989.276785295347, 1065.98336201165,          1085.62162721787, 1096.08624088178)), row.names = c("274",      "941", "522", "151", "63", "843", "666", "744", "861", "347",      "518", "178", "186", "213", "340", "845", "528", "625", "215",      "671"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.995958737782213,      0.99441125141612, 0.90373226309066, 0.845490594286158, 0.779964077765201,      0.712314283599956, 0.5935464058613, 0.429026214559173, 0.422775975005684,      0.403384135343995, 0.346990777519542, 0.231037190332314,      0.194676757761821, 0.189257415297471, 0.1225324487997, 0.0343719235210796,      0.00293478641194562, 0.000361127607287498, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1611294967 
R squared (OOB):                  0.2624308 

$Forests[[275]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(553000, 520000, 5e+05,      425000, 535000, 483000, 518000, 495000, 537000, 412000, 455000,      420000, 468000, 362500, 360000, 365000, 455000, 393000, 450000,      428888), floor_area_sqm = c(93, 93, 93, 104, 93, 93, 93,      93, 93, 104, 112, 106, 106, 103, 84, 84, 113, 103, 106, 84     ), storey_order = c(4L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 4L, 2L,      1L, 3L, 5L, 3L, 3L, 4L, 5L, 2L, 2L, 3L), remaining_lease_mths = c(1134,      1133, 1131, 871, 1131, 1129, 1132, 1131, 1128, 878, 896,      874, 863, 819, 811, 787, 824, 818, 919, 774), PROX_CBD = c(13.8021184722805,      13.7835124985007, 13.8777465201196, 14.0236082538335, 13.9851487819813,      13.9851487819813, 14.0392008059995, 14.1234549986629, 14.1022978560303,      14.1313829663274, 14.0913802169285, 13.629257933267, 13.629257933267,      14.3801998083441, 14.7472020389823, 13.5012180894848, 14.8805910833212,      14.8805910833212, 13.6245617307962, 12.8776183162857), PROX_ELDERLYCARE = c(1.08391670289184,      1.04590518035641, 1.14875617578224, 1.09340394122649, 1.27246652758392,      1.27246652758392, 1.32747908409073, 1.35242241046818, 1.39999761805574,      0.836104821253693, 1.71411655426264, 0.207468408301612, 0.207468408301612,      0.709377020411434, 1.19052284520552, 0.126566715598502, 1.53481387371296,      1.53481387371296, 0.120631950903102, 0.211786543917104),          PROX_HAWKER = c(0.792084042786722, 0.817574416707151,          0.709523473368326, 0.594999289424802, 0.59565400543288,          0.59565400543288, 0.543253862226502, 0.458626901673037,          0.488105393549706, 0.73352935155883, 0.659732742059419,          1.4012681206183, 1.4012681206183, 0.928921275219278,          0.606039227085063, 1.32455892398921, 0.395563323563994,          0.395563323563994, 1.48009929412898, 0.677647820815747         ), PROX_MRT = c(0.615458599020507, 0.648112836468654,          0.526263367583387, 0.469886084443941, 0.390641440388092,          0.390641440388092, 0.327704984287647, 0.250036690549804,          0.255700458734308, 0.735653331318593, 0.410797330392975,          0.681065013996815, 0.681065013996815, 1.02650412956774,          0.807097621625513, 0.54422435083218, 0.650195396152393,          0.650195396152393, 0.357520644011877, 0.301948361527339         ), PROX_PARK = c(0.476945111703218, 0.438074957540257,          0.548712671125698, 0.504422356794811, 0.580591669210194,          0.580591669210194, 0.547177414231792, 0.469588575534173,          0.52092144022497, 0.463826523913091, 0.524242894978874,          0.403276931712581, 0.403276931712581, 0.71485218383349,          0.432698189125414, 0.593866981909781, 0.355836862982211,          0.355836862982211, 0.731000545087102, 0.246982674114576         ), PROX_GOOD_PRISCH = c(2.33081910479479, 2.3007469286795,          2.41902859908312, 2.51794344218072, 2.55482099432271,          2.55482099432271, 2.61966269686357, 2.69456588548322,          2.69832814229385, 2.52734391167264, 2.83541955823977,          1.96779323327463, 1.96779323327463, 2.72778429145315,          3.13467644284063, 1.8351788996921, 3.33079371618761,          3.33079371618761, 1.96554365084008, 1.22334421357001),          PROX_MALL = c(0.585717052475653, 0.615576551193732, 0.498678106329343,          0.418819234777705, 0.37312896686832, 0.37312896686832,          0.316340524018432, 0.232476208076891, 0.257523814996123,          0.66282583229379, 0.471401908473598, 1.12429495075828,          1.12429495075828, 0.949257633150117, 0.738705771798207,          0.956400108312903, 0.390496575840073, 0.390496575840073,          1.05956757611768, 0.503182159926002), PROX_CHAS = c(0.221659659627321,          0.253975316505048, 0.133705064347241, 0.151261605672147,          0.0604900109870272, 0.0604900109870272, 0.101753514952091,          0.147334233235439, 0.177701329016163, 0.528800676490504,          0.471401941314913, 0.260044927245007, 0.260044927245007,          0.453083161817035, 0.19051372613691, 0.0648495538885981,          0.448788349522024, 0.448788349522024, 2.17172157220984e-06,          0.128785172156574), PROX_SUPERMARKET = c(0.221659301316653,          0.253974877653299, 0.133704798830233, 0.151260689076964,          0.0604908810371704, 0.0604908810371704, 0.101754383553332,          0.147334782275979, 0.177702101069216, 0.528799775767506,          0.471402360745676, 0.288903462518554, 0.288903462518554,          0.513065398645433, 0.326764101800336, 0.329742543966106,          0.447693008221967, 0.447693008221967, 0.237807435452358,          0.17067511852319), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 2L, 3L, 3L, 0L, 3L, 1L,          2L, 2L, 3L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L,          4L, 3L, 3L, 4L, 4L, 4L, 3L, 1L, 6L, 6L, 3L, 2L, 5L, 3L,          3L, 5L, 1L), WITHIN_350M_BUS = c(5L, 6L, 8L, 12L, 8L,          8L, 10L, 13L, 11L, 6L, 12L, 6L, 6L, 2L, 9L, 7L, 5L, 5L,          10L, 12L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L,          1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 4L, 2L, 2L, 4L,          4L), DNeighbour = c(0, 40.3327424837868, 94.6191362543369,          227.984497947573, 232.095181428787, 238.231369024156,          301.62169135522, 365.99282757326, 381.875017807015, 536.158613617589,          642.701152287814, 874.257891693625, 876.821468976266,          935.507556265295, 1034.73757449639, 1067.9335686996,          1080.80122245814, 1088.83272257401, 1199.51194280988,          1212.57115828933)), row.names = c("275", "380", "579",      "51", "819", "938", "218", "212", "815", "695", "352", "503",      "415", "3", "136", "264", "852", "639", "656", "892"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.997788480757726, 0.987859145144484, 0.930548562629672,      0.928068615077674, 0.92429062306084, 0.88007972874538, 0.826094518303518,      0.811475058074522, 0.6472018921141, 0.517056483427397, 0.230559418556798,      0.227636771977281, 0.163843946095047, 0.0738795265979701,      0.0503263424471292, 0.0422428186255537, 0.0375116345546863,      0.000458975783136184, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2104989076 
R squared (OOB):                  0.4257209 

$Forests[[276]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 426000, 425000,      395000, 431000, 410000, 420000, 428000, 325000, 3e+05, 360000,      333000, 330000, 355000, 295000, 308000, 285000, 315000, 330000,      292000), floor_area_sqm = c(90, 92, 92, 92, 92, 92, 90, 90,      84, 84, 99, 103, 103, 103, 106, 84, 92, 84, 103, 104), storey_order = c(5L,      6L, 6L, 4L, 9L, 2L, 8L, 8L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 1L,      1L, 3L, 2L, 2L), remaining_lease_mths = c(1010, 1012, 1006,      1010, 1010, 1004, 1011, 1008, 783, 797, 796, 788, 800, 793,      825, 795, 697, 788, 937, 828), PROX_CBD = c(13.990153115514,      14.0324943086614, 14.0603534116893, 14.0603534116893, 14.0603534116893,      14.000256381606, 13.8798013735997, 13.8412030491349, 14.1279251783367,      14.3169519114025, 13.8977069202737, 14.3532733654858, 13.46147060752,      13.46147060752, 14.7220636963442, 13.3304860768802, 14.6519123293037,      13.0463978034086, 14.5165027597446, 15.1374510187917), PROX_ELDERLYCARE = c(1.56992496550613,      1.51384309451853, 1.50084223071099, 1.50084223071099, 1.50084223071099,      1.50178268661881, 1.77270985488013, 1.74703283433278, 1.66641228888996,      1.55261218152075, 1.56746404607568, 1.6760601574403, 1.01995663096129,      1.01995663096129, 0.327768156942021, 0.85382998667073, 0.254409923718011,      0.612412426395362, 0.389463724969334, 0.426629771798313),          PROX_HAWKER = c(1.69002608854433, 1.73133481154049, 1.69193386873811,          1.69193386873811, 1.69193386873811, 1.77005964815816,          1.47024255459416, 1.43519165592487, 1.24304803992561,          1.19367588944735, 1.04237506554324, 0.99569743308136,          1.03983060555389, 1.03983060555389, 1.39864823048803,          1.09459947163448, 1.21550185558774, 1.36023111372333,          1.0617726338971, 1.49196951764411), PROX_MRT = c(0.789673249073619,          0.85175230125279, 0.836549486170002, 0.836549486170002,          0.836549486170002, 0.865600228728207, 0.523014705157119,          0.462396576385451, 0.59155533687368, 0.753004841751307,          0.300373388684648, 0.756418829435307, 0.367668143276235,          0.367668143276235, 0.0523025726452692, 0.525688124362732,          0.218405848235923, 0.622051877914657, 0.0901878473788138,          0.164193456307044), PROX_PARK = c(0.716145735764812,          0.65310707550057, 0.66093693759156, 0.66093693759156,          0.66093693759156, 0.652876507033438, 0.782127938386311,          0.752068597068081, 1.00515750023779, 1.00962818739137,          0.782220037546154, 1.20426051281307, 0.582693033366388,          0.582693033366388, 0.432331111477529, 0.620743454357064,          0.325486875199719, 0.572775970192077, 0.278686390612803,          0.786093050092807), PROX_GOOD_PRISCH = c(4.0269654833207,          4.07805978762992, 4.09775909461572, 4.09775909461572,          4.09775909461572, 4.05408625233137, 3.87304276717541,          3.82728738248792, 4.09179045416031, 4.27446656255715,          3.83525569342672, 4.29145341198416, 3.38131302543864,          3.38131302543864, 4.99661753747661, 3.24954726475941,          4.99149337529414, 2.96540091825049, 4.93093863547281,          5.37568176340172), PROX_MALL = c(1.32125061115982, 1.34360210764349,          1.38265334141638, 1.38265334141638, 1.38265334141638,          1.30130189944441, 1.33861894221302, 1.33339622609195,          1.48884664162065, 1.50622914679999, 1.14150204308926,          1.45738633765159, 0.644549177151603, 0.644549177151603,          0.343882807046916, 0.513372166694422, 0.377416550632833,          0.587476612974174, 0.38830118917563, 0.249545786638779         ), PROX_CHAS = c(0.231188025602735, 0.288579392766018,          0.266609427013402, 0.266609427013402, 0.266609427013402,          0.313291309929199, 0.058882652003164, 0.116038559859119,          0.283027750434604, 0.149961616171305, 0.162936326565904,          0.0428610630237518, 0.348399033159575, 0.348399033159575,          0.141205029857343, 0.472814153962233, 0.0736014920224838,          0.40513819943783, 0.0918929757518676, 0.193150290660334         ), PROX_SUPERMARKET = c(0.231188025603748, 0.288579392767071,          0.266609427014493, 0.266609427014493, 0.266609427014493,          0.313291309930196, 0.0588826520022197, 0.116038559858059,          0.283027750434408, 0.277976240278344, 0.162936951836525,          0.400567683079086, 0.356146193343619, 0.356146193343619,          0.141204847242777, 0.510727353781082, 0.128878263549785,          0.599997973636583, 0.354026220875794, 0.200567401454574         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 0L, 0L, 0L,          1L, 1L, 2L, 3L, 0L, 2L, 1L, 1L, 0L, 1L, 1L, 2L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 4L, 3L, 2L, 5L, 5L         ), WITHIN_350M_BUS = c(4L, 4L, 4L, 4L, 4L, 3L, 5L, 5L,          10L, 9L, 5L, 10L, 6L, 6L, 8L, 5L, 9L, 7L, 7L, 11L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 3L, 3L, 2L,          3L, 3L, 4L, 2L, 2L), DNeighbour = c(0, 58.8034482158262,          64.8551193686324, 67.6314560536234, 67.9032948451083,          82.6931510495875, 274.108279993001, 334.771579741632,          453.389847308075, 579.664056496481, 704.052435672117,          768.310254251429, 1154.50033384913, 1162.34482424901,          1248.25199351299, 1318.04185321729, 1368.70560587065,          1465.34486262566, 1478.04351045416, 1496.31450965611)), row.names = c("276",      "675", "241", "805", "55", "726", "877", "678", "893", "650",      "479", "697", "526", "332", "786", "61", "986", "987", "592",      "387"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996913585029909,      0.996246256314201, 0.995918330326214, 0.995885486435673,      0.9939009865399, 0.934009771252057, 0.902394643967259, 0.824806073455502,      0.722373318107249, 0.606228582022, 0.542211582802691, 0.163774913357983,      0.157270740404249, 0.0924651880076267, 0.0502153043756348,      0.0266640280647546, 0.00167822883069672, 0.0005891413884053,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1154783904 
R squared (OOB):                  0.5882722 

$Forests[[277]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(459000, 445000, 462000,      447888, 443000, 430000, 382000, 418000, 425000, 395000, 425000,      318000, 418000, 442500, 418888, 345000, 450000, 358000, 415000,      390000), floor_area_sqm = c(93, 93, 93, 93, 93, 92, 93, 92,      93, 93, 93, 90, 92, 92, 92, 90, 92, 104, 92, 92), storey_order = c(4L,      4L, 5L, 5L, 5L, 5L, 1L, 3L, 4L, 2L, 5L, 3L, 5L, 6L, 3L, 5L,      4L, 4L, 2L, 1L), remaining_lease_mths = c(1138, 1133, 1134,      1137, 1134, 1137, 1111, 1134, 1134, 1138, 1134, 968, 1142,      1138, 1136, 937, 1135, 815, 1132, 1132), PROX_CBD = c(14.1715462602585,      14.1149653809405, 14.1475961545785, 14.1475961545785, 14.1475961545785,      14.2919055230493, 14.29200158436, 14.318757359464, 14.318757359464,      14.318757359464, 14.3486805845321, 14.1338242827509, 14.4012043650842,      14.4158973706441, 14.4158973706441, 14.2787185061121, 14.5310939664424,      14.0960645211931, 14.6122009832922, 14.6424103631698), PROX_ELDERLYCARE = c(2.09595649451453,      2.12564955085825, 2.03155968851809, 2.03155968851809, 2.03155968851809,      2.08663557441472, 2.00367987562091, 2.13920478430288, 2.13920478430288,      2.13920478430288, 2.08279710659019, 2.28550514148655, 1.94149260139439,      1.86115765343828, 1.86115765343828, 1.77826193055387, 1.79186944623163,      1.70531999087377, 1.68824062303628, 1.72557175775889), PROX_HAWKER = c(1.11030496241672,      1.06810792734919, 1.0452124348096, 1.0452124348096, 1.0452124348096,      1.13160866269818, 1.05572120633707, 1.17625726432186, 1.17625726432186,      1.17625726432186, 1.11865892678262, 1.19906286300234, 0.977925494011815,      0.900970586039013, 0.900970586039013, 0.865181709866835,      0.816792492128141, 0.845358517598031, 0.707122679385598,      0.740384095011384), PROX_MRT = c(0.236487582928319, 0.282489779359316,      0.206896355650083, 0.206896355650083, 0.206896355650083,      0.215635082050947, 0.129588785375857, 0.277525006355607,      0.277525006355607, 0.277525006355607, 0.228370105834555,      0.414064606154384, 0.117672709296806, 0.0830542408041225,      0.0830542408041225, 0.14195902454703, 0.197201307651512,      0.217341234217998, 0.295449456212788, 0.312698200175978),          PROX_PARK = c(1.59201213147604, 1.55223981690243, 1.52292224478236,          1.52292224478236, 1.52292224478236, 1.71136953372848,          1.659682039687, 1.77227256709076, 1.77227256709076, 1.77227256709076,          1.76668334590621, 1.68789157401301, 1.73691437359179,          1.70853765465547, 1.70853765465547, 1.51686048726609,          1.79335149216305, 1.27300714898888, 1.76906915549279,          1.78460824921244), PROX_GOOD_PRISCH = c(5.50129862889456,          5.45814117537329, 5.43570837857945, 5.43570837857945,          5.43570837857945, 5.62322031775431, 5.57470277830303,          5.68167095374807, 5.68167095374807, 5.68167095374807,          5.67955556528646, 5.57754198399205, 5.65284274036128,          5.62289607338158, 5.62289607338158, 5.42826997650874,          5.7030752613132, 5.17863906457975, 5.7298925008129, 5.77937603269072         ), PROX_MALL = c(0.405991175981987, 0.377565489031552,          0.329425359540921, 0.329425359540921, 0.329425359540921,          0.517951444315281, 0.462705775504015, 0.582562895872492,          0.582562895872492, 0.582562895872492, 0.571430807201143,          0.547412994688805, 0.544441659044551, 0.475045953779526,          0.475045953779526, 0.338911837083335, 0.466036051693473,          0.243284841315127, 0.426875162675013, 0.482269498416602         ), PROX_CHAS = c(0.12657377242065, 0.179884741524278,          0.188783823394846, 0.188783823394846, 0.188783823394846,          3.54155757628082e-08, 0.0888572682655253, 0.0707174365033835,          0.0707174365033835, 0.0707174365033835, 0.0590253437170886,          0.219091723429967, 0.0706873614354785, 0.0420419616737589,          0.0420419616737589, 0.18872293939054, 0.162368565956873,          0.132339190026647, 0.270793953405505, 0.280031834846542         ), PROX_SUPERMARKET = c(0.248308073473709, 0.299769914037237,          0.235757849482592, 0.235757849482592, 0.235757849482592,          0.199383936085002, 0.124391003677116, 0.25307995359875,          0.25307995359875, 0.25307995359875, 0.199153546859355,          0.41091265647621, 0.0706874850207218, 0.0420421510628514,          0.0420421510628514, 0.188722783027928, 0.162368758687164,          0.226949559622758, 0.270794118098451, 0.280032026158491         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 2L, 2L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 6L, 6L, 6L, 6L, 5L,          5L, 4L, 4L, 4L, 4L, 3L, 5L, 5L, 5L, 6L, 4L, 7L, 5L, 3L         ), WITHIN_350M_BUS = c(5L, 5L, 6L, 6L, 6L, 4L, 5L, 3L,          3L, 3L, 4L, 3L, 6L, 7L, 7L, 8L, 8L, 9L, 6L, 6L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L,          4L, 3L, 5L, 4L, 3L), DNeighbour = c(0, 59.5765343699918,          91.2613148279514, 91.5111433714115, 92.5181614199613,          124.044606780934, 133.102476461163, 172.028918213693,          178.029005767394, 179.672466761101, 185.194710381147,          190.240741167114, 238.046779144954, 287.227162504187,          288.591415136178, 326.477912755548, 409.380976751426,          483.611437634424, 524.732452213557, 528.514738041825)), row.names = c("277",      "519", "207", "623", "966", "267", "989", "58", "205", "840",      "217", "120", "633", "33", "100", "329", "609", "880", "489",      "323"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.974747858535066,      0.941255680576204, 0.940938515167634, 0.939651830551363,      0.892862388101548, 0.877173389626399, 0.799330745850821,      0.785941799843568, 0.782214663232305, 0.769507328542922,      0.75765441229051, 0.635421758743165, 0.49653177999641, 0.492576272006117,      0.38243481794519, 0.160011206728778, 0.0264726507223194,      0.000203395293677097, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1166722359 
R squared (OOB):                  0.2359617 

$Forests[[278]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 742000, 729999,      653000, 682000, 745000, 4e+05, 360000, 688000, 468888, 480000,      535000, 5e+05, 478000, 7e+05, 5e+05, 413888, 649888, 533000,      363000), floor_area_sqm = c(104, 92, 100, 91, 100, 100, 92,      92, 90, 92, 92, 92, 91, 92, 95, 91, 88, 87, 88, 97), storey_order = c(4L,      7L, 6L, 2L, 10L, 10L, 3L, 2L, 6L, 3L, 3L, 3L, 1L, 4L, 3L,      2L, 2L, 3L, 1L, 4L), remaining_lease_mths = c(745, 1104,      1122, 1121, 1120, 1122, 708, 719, 985, 701, 692, 694, 690,      716, 1100, 706, 668, 1103, 653, 701), PROX_CBD = c(9.4187827620762,      9.57467117229508, 9.41601606571959, 9.51816518584724, 9.28682806708392,      9.28682806708392, 10.1748545259067, 10.2629321739313, 9.84174458192399,      9.79963982832759, 9.76973796844692, 9.76973796844692, 10.2183960492338,      9.58813304663833, 7.97001655790022, 10.2657373615824, 7.88501742637481,      7.02256530608061, 6.92829321613491, 12.1013944735855), PROX_ELDERLYCARE = c(0.579996323717894,      0.0836678964153836, 0.14515851054369, 0.0590206014568566,      0.306248896776786, 0.306248896776786, 0.889757070081441,      1.00265829049513, 0.339166460968835, 0.390845215421192, 0.487200680071974,      0.487200680071974, 0.670964346371623, 0.251441869005946,      0.682273370470252, 0.519949541574078, 0.487583248392117,      0.467453442926814, 0.389684735109723, 2.41403538414825),          PROX_HAWKER = c(0.508914568418093, 0.628838904549623,          0.552624576950901, 0.5145461029689, 0.449541776391294,          0.449541776391294, 0.304343114187016, 0.370496257898541,          0.272020065995023, 0.315572935590663, 0.323134910569429,          0.323134910569429, 0.161327078165055, 0.391674386653945,          0.840126401207934, 0.527790221924738, 0.645875214067525,          0.207247650371579, 0.133504850959355, 0.561617227785994         ), PROX_MRT = c(1.21403827268849, 0.731513991246432,          0.796240617220745, 0.689820066215858, 0.819017740329599,          0.819017740329599, 1.12559589355515, 1.21137251272603,          0.348847208140378, 0.308409661615337, 0.307725216106606,          0.307725216106606, 0.352113639571012, 0.707146681079003,          0.726942522279936, 0.351828842975553, 0.707952731476156,          0.409658939160285, 0.407218977151475, 1.71497473755306         ), PROX_PARK = c(0.633868788719276, 0.402026431996325,          0.579398729399101, 0.506309566114581, 0.754667699158598,          0.754667699158598, 0.326884491561474, 0.429817985649402,          0.429024269124863, 0.556935587195362, 0.692980820038259,          0.692980820038259, 0.412720152963846, 0.630094576064042,          0.618444971248099, 0.752867192571236, 0.511064020035708,          0.380160428577633, 0.377410917604964, 0.181629272169071         ), PROX_GOOD_PRISCH = c(1.8319493658717, 1.37880970746963,          1.45792936689373, 1.35033962190844, 1.50498632547922,          1.50498632547922, 1.53712936271762, 1.58756538029025,          0.999365026226873, 0.97109568154285, 0.945616550360875,          0.945616550360875, 0.778258345851083, 1.10432321767326,          2.78644315018514, 0.402201611323318, 2.82520953766913,          2.07008813823767, 2.0639866413545, 1.52909264222103),          PROX_MALL = c(0.308706652763352, 0.493679276753517, 0.616886214909116,          0.508727078362918, 0.732362808464395, 0.732362808464395,          0.493589384976364, 0.573348708551386, 0.188176716989659,          0.277854565241424, 0.3113714109904, 0.3113714109904,          0.1993183735571, 0.759347764163403, 0.66906173274608,          0.347570072991699, 0.535655644340599, 0.395390786334096,          0.352244010010256, 1.69674818443598), PROX_CHAS = c(0.308706623046814,          0.0836673580931749, 0.145158576319141, 0.0590210156667789,          0.30624919123722, 0.30624919123722, 0.118978706369709,          0.166187985395119, 0.139131199666608, 0.213793078898363,          0.164045702260751, 0.164045702260751, 0.176868193181362,          0.395290416984683, 0.195243012850588, 0.329846033180528,          0.102679570293108, 0.278446199404133, 0.180332756228222,          0.26797195188846), PROX_SUPERMARKET = c(0.31508799294366,          0.0769150331708007, 0.145877744762322, 0.0642147642973091,          0.309780650655361, 0.309780650655361, 0.371852561025965,          0.394772134126693, 0.139131268426574, 0.217115292225756,          0.329801606095394, 0.329801606095394, 0.245740902557878,          0.20799335196523, 0.169510705521186, 0.353445486406562,          0.158953339299884, 0.0888694671696128, 0.0762755382886037,          0.570395350553557), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L,          1L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(4L, 2L,          1L, 1L, 1L, 1L, 3L, 1L, 4L, 4L, 3L, 3L, 6L, 2L, 0L, 4L,          1L, 3L, 5L, 1L), WITHIN_350M_BUS = c(3L, 7L, 8L, 7L,          7L, 7L, 8L, 7L, 9L, 11L, 11L, 11L, 6L, 7L, 7L, 10L, 5L,          10L, 7L, 10L), WITHIN_1KM_PRISCH = c(0L, 2L, 2L, 2L,          1L, 1L, 0L, 0L, 3L, 3L, 3L, 3L, 4L, 2L, 1L, 3L, 1L, 0L,          0L, 0L), DNeighbour = c(0, 497.730701339802, 552.387465515272,          608.589542381362, 695.077173519931, 698.486370857542,          763.145429816645, 856.505702508897, 864.707691900851,          950.813081348732, 1058.17379380788, 1063.3449265201,          1070.85363674978, 1493.26967192144, 1528.5907236763,          1559.576769619, 1682.07334704295, 2709.57460786449, 2761.67721675281,          2837.16519481054)), row.names = c("278", "551", "928",      "983", "794", "308", "245", "244", "268", "943", "926", "68",      "584", "640", "904", "649", "338", "221", "978", "40"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.939394140189107, 0.925623113925348, 0.910091363096901,      0.88356218869584, 0.882452958052392, 0.86053241051958, 0.826033271801278,      0.822848383454139, 0.787992332226037, 0.741139089149685,      0.738794324518505, 0.735375951499212, 0.522703661210477,      0.503706199266513, 0.48697358036559, 0.420557202217093, 0.00772990869292889,      0.00275685281066749, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5209556233 
R squared (OOB):                  0.7119216 

$Forests[[279]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(515000, 450000, 582000,      680000, 638000, 445000, 310000, 315000, 330000, 545000, 680000,      480000, 650000, 446000, 838000, 470000, 630000, 440000, 515000,      538000), floor_area_sqm = c(110, 104, 104, 76, 105, 84, 82,      87, 82, 86, 86, 94, 86, 94, 91, 84, 101, 93, 103, 90), storey_order = c(1L,      1L, 3L, 11L, 3L, 3L, 5L, 1L, 4L, 1L, 3L, 6L, 3L, 2L, 12L,      3L, 2L, 3L, 3L, 5L), remaining_lease_mths = c(859, 828, 935,      1071, 918, 647, 656, 633, 657, 1025, 1025, 725, 1018, 723,      1106, 813, 952, 759, 823, 995), PROX_CBD = c(5.31333197008925,      5.12061996426338, 5.4901102241405, 5.17664618337401, 5.24252163748666,      4.82546817648507, 5.9699685911294, 5.88382015009973, 6.06674643703895,      5.19905620756448, 5.19905620756448, 4.50933618399607, 5.26278746968545,      4.45295385586978, 5.38577040159704, 6.30150758144434, 5.76616775136128,      5.4791067318598, 6.41432963568309, 4.4759193492502), PROX_ELDERLYCARE = c(0.301885421229742,      0.279354008399566, 0.157919913507301, 0.203403853153192,      0.232760622048558, 0.401252043911139, 4.28110190953706e-07,      0.599695566252105, 0.10409496222889, 0.3148233892717, 0.3148233892717,      0.665866395733666, 0.310343810032976, 0.645271528549996,      0.343873602324804, 0.0580157957368266, 0.708186986363007,      0.505585511375112, 0.101150617829923, 0.136621520737764),          PROX_HAWKER = c(0.15027253820603, 0.158729667464322,          0.258924665495, 0.242990200436355, 0.316098981667774,          0.33634581375869, 0.247906315943116, 0.302293625820731,          0.346985863757343, 0.424686940189847, 0.424686940189847,          0.665007751295857, 0.356302899600742, 0.601904675681234,          0.225377370173431, 0.511576723994062, 0.25612232537118,          0.736115689949186, 0.639366917684312, 0.736355433757935         ), PROX_MRT = c(0.839256513816073, 1.12797954219589,          1.30755754576723, 0.347215067697513, 0.353807427048722,          0.437510974512092, 1.03854772657135, 0.37771060533367,          1.1005845300218, 0.253583166891469, 0.253583166891469,          0.549595780709265, 0.321982757522174, 0.66128766903618,          0.452916639575337, 0.911216039334219, 0.0934691468297738,          0.797555156120123, 0.753240517287136, 0.930431293452388         ), PROX_PARK = c(0.919693677764514, 1.12857946410316,          0.803347187860442, 0.502895249788983, 0.540897442657821,          0.386749503328341, 0.792968228054446, 1.09766236241216,          0.741200181243785, 0.482110245392283, 0.482110245392283,          0.353281501558379, 0.550000337404237, 0.473457593144303,          0.680409922157526, 0.950460734805334, 1.02675087524374,          0.728040918615253, 0.941128983241434, 0.786607284590569         ), PROX_GOOD_PRISCH = c(2.32631552336422, 2.70116277997296,          2.45379201830723, 2.27859573799937, 2.20280244575696,          2.65585299610189, 1.89588922913119, 1.61186682958131,          1.85819018299306, 2.22494939608982, 2.22494939608982,          2.94429219434277, 2.16237499594262, 3.02211493728223,          2.04281306492033, 1.50990256016426, 1.65694818911091,          2.93310132502147, 1.35156641752108, 3.43096694593549),          PROX_MALL = c(0.752077094160308, 1.02774547618649, 1.21674302842157,          0.285366785950761, 0.315823950773482, 0.337875853585261,          1.25835483053691, 0.966526596905427, 1.22044581333525,          0.31885342913617, 0.31885342913617, 0.485349818185599,          0.38523327442887, 0.570379319619026, 0.513452616263142,          0.872189526609738, 0.834887080030876, 0.719613179783111,          0.713954983197348, 1.02435160052226), PROX_CHAS = c(0.111194343620761,          0.193072984237221, 0.233242749827373, 0.0737889624358689,          0.0731998871787336, 0.315432137833306, 0.21461630683628,          0.256579842259861, 0.252393584019624, 0.211748617283041,          0.211748617283041, 0.331046161101227, 0.188692357663819,          0.303272176186244, 0.180097972613039, 0.0940735950578242,          0.143086854941205, 0.0706483510319072, 0.15014885052256,          0.105578702221058), PROX_SUPERMARKET = c(0.370675298005651,          0.198191070641627, 0.37596142908425, 0.177322353300672,          0.266280670019211, 0.0907256678718214, 0.227231659318009,          0.27867057765081, 0.321431524942613, 0.199301193911681,          0.199301193911681, 0.325943517329761, 0.267150206458008,          0.34627255092781, 0.397689630461078, 0.469210677159174,          0.318319510093507, 0.0706487501399716, 0.519047869620273,          0.0670716613901785), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 1L, 3L, 0L, 0L, 1L, 0L, 4L, 4L, 0L, 4L, 0L, 4L,          2L, 2L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(3L, 4L,          3L, 7L, 5L, 2L, 2L, 4L, 2L, 6L, 6L, 1L, 5L, 1L, 7L, 4L,          1L, 2L, 4L, 2L), WITHIN_350M_BUS = c(12L, 9L, 10L, 9L,          10L, 8L, 8L, 8L, 6L, 9L, 9L, 5L, 9L, 6L, 8L, 7L, 8L,          3L, 7L, 5L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 4L,          2L, 4L, 4L, 5L, 3L, 3L, 0L, 3L, 1L, 3L, 4L, 4L, 2L, 3L,          3L), DNeighbour = c(0, 436.382489796936, 474.329186137091,          515.938354414586, 555.760100905974, 583.686605236469,          670.46492024353, 728.765959457052, 777.329933981494,          878.161368375507, 880.135425346688, 900.157826231673,          903.815200614753, 913.177061755798, 959.733056026702,          983.353058422762, 986.753417410136, 1045.74890672807,          1103.25579545865, 1121.92761276599)), row.names = c("279",      "646", "307", "897", "472", "288", "920", "201", "628", "533",      "181", "622", "199", "346", "116", "417", "430", "802", "114",      "411"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.720311777400056,      0.674462397755347, 0.621766360964203, 0.569446318893703,      0.531931651506188, 0.413285947699089, 0.334158098290742,      0.270354167798405, 0.150032870814104, 0.147904257701673,      0.126924193567883, 0.123216828815061, 0.113911984215035,      0.0719503773213827, 0.0537189653817743, 0.0512802366222169,      0.0172106305429022, 0.0010895457149418, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9782359128 
R squared (OOB):                  0.466437 

$Forests[[280]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 435000, 410000,      398000, 4e+05, 373000, 425000, 410000, 418000, 345000, 365000,      455000, 385000, 312000, 320000, 465000, 3e+05, 450000, 305000,      330000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 93,      112, 95, 91, 106, 90, 107, 104, 106, 85, 93, 90, 105), storey_order = c(5L,      4L, 3L, 2L, 1L, 1L, 4L, 4L, 5L, 3L, 4L, 4L, 3L, 1L, 2L, 2L,      2L, 4L, 1L, 1L), remaining_lease_mths = c(1134, 1129, 1131,      1136, 1127, 1128, 1126, 1117, 904, 1003, 1061, 933, 1060,      779, 779, 933, 979, 950, 966, 896), PROX_CBD = c(17.2397585888566,      17.2397585888566, 17.2397585888566, 17.26435404508, 17.1731083577317,      17.1731083577317, 17.3263676504413, 17.3263676504413, 17.2048826778539,      17.7047470513727, 17.5974072281911, 17.1634204962367, 17.6242343596777,      16.6890813896757, 16.6890813896757, 17.1401277939721, 18.0119212314593,      17.4336546583772, 18.0816861587931, 17.9794873864528), PROX_ELDERLYCARE = c(0.500148198332671,      0.500148198332671, 0.500148198332671, 0.542806768712765,      0.456899326246073, 0.456899326246073, 0.561119780492452,      0.561119780492452, 0.400468425457175, 0.933045885854195,      0.819477307137174, 0.565792923614884, 0.892136309268664,      0.296144426041885, 0.296144426041885, 0.586863575497558,      1.25793892145158, 0.825709875044437, 1.34637729166943, 1.20397588034421     ), PROX_HAWKER = c(0.55990768529081, 0.55990768529081, 0.55990768529081,      0.598096651463893, 0.507233229895407, 0.507233229895407,      0.631285601786086, 0.631285601786086, 0.498365875295267,      1.00938993481846, 0.922900854400271, 0.666841975849823, 0.816419857336687,      0.360513691606501, 0.360513691606501, 0.685044657792881,      1.33204585660377, 0.841716009165303, 1.41733367811242, 0.736691454978467     ), PROX_MRT = c(1.16124452414741, 1.16124452414741, 1.16124452414741,      1.20599959693509, 1.18009183772516, 1.18009183772516, 1.13344401626098,      1.13344401626098, 0.87869292375624, 1.29287496569192, 0.830609903675807,      0.463116738810145, 0.729175757939742, 0.937471590679814,      0.937471590679814, 0.418422993771755, 1.54554013822754, 0.463093751675267,      1.64690112478102, 1.05284557964442), PROX_PARK = c(0.959994438388966,      0.959994438388966, 0.959994438388966, 0.937816003807321,      1.02763138312455, 1.02763138312455, 0.872985599051717, 0.872985599051717,      0.9054780070858, 0.495314460898113, 0.751240825934154, 0.505224516024672,      0.830497330619545, 1.20981147430356, 1.20981147430356, 0.454841043819919,      0.23250554954982, 0.609424449579261, 0.243247600736397, 0.555889077383573     ), PROX_GOOD_PRISCH = c(6.64012383316355, 6.64012383316355,      6.64012383316355, 6.66937916554136, 6.57664814247058, 6.57664814247058,      6.72174636420399, 6.72174636420399, 6.57740517739392, 7.10206992983331,      6.95474206477502, 6.50789265243056, 6.97273607492461, 6.16175607197734,      6.16175607197734, 6.48254224033906, 7.41905192895776, 6.77374769998522,      7.49669975318446, 7.33264137396139), PROX_MALL = c(0.450738515511335,      0.450738515511335, 0.450738515511335, 0.484724019608978,      0.392080122681935, 0.392080122681935, 0.530342726071102,      0.530342726071102, 0.446026044391999, 0.790613232916467,      0.757845794253982, 0.353588302636786, 0.671391539314818,      0.571849863617429, 0.571849863617429, 0.306862579253759,      0.658794213245526, 0.404491618549369, 0.694568288644574,      0.387548928263219), PROX_CHAS = c(0.221318263528924, 0.221318263528924,      0.221318263528924, 0.270084445320348, 0.214971829128206,      0.214971829128206, 0.254413742194056, 0.254413742194056,      0.130380344727655, 0.40646651865696, 0.175468897673469, 0.171584438209325,      0.0497500971788425, 0.332465298200207, 0.332465298200207,      0.133156315003352, 0.166262674114357, 0.260153188296123,      0.119012364389208, 0.324283073315245), PROX_SUPERMARKET = c(0.449846933875903,      0.449846933875903, 0.449846933875903, 0.483753219919624,      0.391090025360665, 0.391090025360665, 0.529573977763673,      0.529573977763673, 0.445962312606475, 0.260900811674997,      0.336744227428862, 0.320581809168482, 0.442456788826315,      0.204374831829505, 0.204374831829505, 0.27639551573194, 0.385510043100507,      0.355873580059747, 0.485184742393951, 0.337417678694655),          WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 3L, 0L, 1L, 1L, 0L, 3L, 3L, 1L, 1L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          3L, 3L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 3L, 3L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 6L, 6L, 8L, 8L, 5L, 5L,          8L, 6L, 6L, 8L, 12L, 9L, 9L, 7L, 9L, 12L, 8L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 6L, 3L, 5L), DNeighbour = c(0, 5.77644396622294,          7.36793526964848, 44.1419201118885, 69.4371931021291,          70.4796272406963, 95.3084501884545, 97.3042041065171,          291.780697434358, 455.293081964092, 588.549483790644,          705.746027728002, 720.322081052535, 726.188488246012,          730.189894614743, 750.296597458186, 771.50064434784,          821.476666760615, 860.288113057286, 906.589395820987)), row.names = c("280",      "290", "86", "847", "507", "985", "925", "797", "889", "631",      "720", "991", "300", "497", "328", "530", "228", "535", "85",      "870"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999918806541697,      0.999867905119408, 0.995264170428727, 0.988301846376679,      0.987949042524753, 0.978018113029497, 0.977093263087068,      0.803562000597941, 0.559191160121772, 0.334721631558445,      0.155232711422718, 0.135943552163602, 0.128436693079506,      0.123404901238401, 0.0992706002291708, 0.0760722664573579,      0.0320233804329243, 0.0099073245883077, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1913953823 
R squared (OOB):                  0.2994441 

$Forests[[281]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(580000, 548888, 520000,      565000, 575000, 580000, 540000, 495000, 380000, 510000, 403500,      540000, 475000, 505000, 376000, 5e+05, 382000, 505000, 380000,      490000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 93,      90, 93, 90, 90, 90, 90, 102, 92, 86, 92, 92, 92), storey_order = c(4L,      2L, 1L, 3L, 4L, 4L, 4L, 3L, 4L, 3L, 5L, 3L, 5L, 6L, 5L, 3L,      2L, 4L, 1L, 3L), remaining_lease_mths = c(1134, 1130, 1138,      1127, 1137, 1140, 1075, 1076, 973, 1076, 965, 1067, 1031,      1033, 944, 1049, 989, 1051, 1037, 1038), PROX_CBD = c(11.7494815193957,      11.7494815193957, 11.6952918230505, 11.6525204845234, 11.6525204845234,      11.6525204845234, 11.8019303594103, 11.7824349405223, 11.9491294576901,      11.734228152501, 12.0682850666201, 11.5237533038112, 11.780035597066,      11.6571985599938, 11.9885535057438, 11.4975151935682, 12.3082954752684,      11.4388659085475, 11.6419253241709, 11.6213283462416), PROX_ELDERLYCARE = c(0.0736890817471424,      0.0736890817471424, 0.0818897866131208, 0.090696724945174,      0.090696724945174, 0.090696724945174, 0.184707688528033,      0.213047345375207, 0.351349913726565, 0.217445500321488,      0.36227142211874, 0.374021376468387, 0.389019901488026, 0.400746835300904,      0.468647269590137, 0.485429735975203, 0.583230122785789,      0.529438756707198, 0.626216066088841, 0.621923465733728),          PROX_HAWKER = c(0.418792449609449, 0.418792449609449,          0.374319678668878, 0.325622570567264, 0.325622570567264,          0.325622570567264, 0.425288384889406, 0.411134055372247,          0.693645859237657, 0.366555491930585, 0.732401821736703,          0.235307086042243, 0.475091880549249, 0.38372613736418,          0.661637750611862, 0.320302217757218, 0.732610931237137,          0.319632581294072, 0.553081930127745, 0.537052085835962         ), PROX_MRT = c(0.183595482094196, 0.183595482094196,          0.18359152527436, 0.219824289848129, 0.219824289848129,          0.219824289848129, 0.341923672362566, 0.323171872402698,          0.207404211118571, 0.276453864170284, 0.353072027979069,          0.148196296616071, 0.149757666469573, 0.187661086924798,          0.253577460439113, 0.24936700359253, 0.348338435446781,          0.264110896255266, 0.168432978085695, 0.182944945438028         ), PROX_PARK = c(1.25382465781663, 1.25382465781663,          1.23082333360032, 1.18955170998222, 1.18955170998222,          1.18955170998222, 1.09015045463689, 1.04913519120928,          1.42337349535551, 1.00928973198994, 1.2554933111164,          0.808531626238996, 0.915827670442916, 0.822874314333037,          0.965214735166117, 0.698336840868775, 1.248380402738,          0.653351036954048, 0.654970873229416, 0.643411448820926         ), PROX_GOOD_PRISCH = c(2.40225451049103, 2.40225451049103,          2.35260315569007, 2.3279627535371, 2.3279627535371, 2.3279627535371,          2.57167610218627, 2.5757070458522, 2.48771655129493,          2.54247396470066, 2.66094910730305, 2.43173748992112,          2.67648686403773, 2.58492752090912, 2.84793008582659,          2.48345794754568, 2.82059786507503, 2.45055199705462,          2.71543842399088, 2.69528593883292), PROX_MALL = c(0.730910693989521,          0.730910693989521, 0.785373664552542, 0.807719243520252,          0.807719243520252, 0.807719243520252, 0.70263709534569,          0.732391369928616, 0.591401580344059, 0.781937846313192,          0.424043071559413, 0.840908486660855, 0.657761426948524,          0.718523422751835, 0.581599658792334, 0.805279144871904,          0.312386349772529, 0.840491697823826, 0.576398809288588,          0.597386337892971), PROX_CHAS = c(0.105514964386053,          0.105514964386053, 0.141926234339659, 0.162428164506486,          0.162428164506486, 0.162428164506486, 0.144895120017984,          0.182294192745256, 0.136369833447508, 0.203102352137365,          0.0850792531740411, 0.0822817354855642, 0.165734916528407,          0.162236141473446, 0.0548782345589675, 0.18789773503711,          0.200650927390068, 0.210772889992189, 0.118628580179885,          0.130352204164602), PROX_SUPERMARKET = c(0.100761764224213,          0.100761764224213, 0.137537075296593, 0.158766807317564,          0.158766807317564, 0.158766807317564, 0.149354766345577,          0.186528474083994, 0.234851160706955, 0.206717744357565,          0.0850782630125017, 0.113409172087645, 0.328761363845442,          0.248678179468178, 0.41771106664497, 0.186124684843571,          0.200651971059786, 0.189609627596398, 0.0879874709963817,          0.0679201472407272), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L,          4L, 4L, 4L, 4L, 7L, 8L, 6L, 8L, 5L, 4L, 9L, 8L, 6L, 4L,          4L, 4L, 6L, 6L), WITHIN_350M_BUS = c(14L, 14L, 13L, 11L,          11L, 11L, 13L, 11L, 12L, 10L, 12L, 5L, 8L, 9L, 14L, 8L,          8L, 7L, 8L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 6L, 6L,          6L, 6L, 6L, 7L, 7L, 5L, 7L, 4L, 6L, 5L, 7L, 4L, 6L, 5L,          5L, 6L), DNeighbour = c(0, 8.90039415349856, 62.7488984098589,          99.1077678367973, 100.417659022864, 100.835772098169,          243.944077724449, 277.891429521547, 279.82612853484,          284.954583318846, 316.372788169077, 448.095919693001,          454.255058290692, 475.988648150204, 518.256151245897,          557.910648515924, 592.913850585474, 596.973295721475,          692.757059961152, 694.900637607866)), row.names = c("281",      "808", "917", "557", "580", "792", "342", "260", "175", "409",      "860", "652", "263", "977", "486", "553", "231", "271", "421",      "89"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99967192931102,      0.983758633547568, 0.95973197014806, 0.958671806179952, 0.958330599168367,      0.768716333559341, 0.705733104512417, 0.701983766650598,      0.691968624151312, 0.628408461382199, 0.341276134265029,      0.327961363619913, 0.28176037652806, 0.19694420101935, 0.126315933451486,      0.0739781715069717, 0.0686368529668875, 3.79448024999342e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1698444639 
R squared (OOB):                  0.6632641 

$Forests[[282]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(490000, 535000, 545000,      465000, 460000, 4e+05, 403000, 455000, 520000, 510000, 430000,      532000, 432000, 460000, 498000, 455000, 5e+05, 589000, 485000,      440000), floor_area_sqm = c(95, 93, 93, 93, 92, 92, 92, 93,      93, 92, 92, 96, 93, 93, 93, 92, 93, 96, 93, 93), storey_order = c(2L,      4L, 5L, 5L, 2L, 1L, 1L, 5L, 4L, 3L, 1L, 4L, 5L, 3L, 2L, 4L,      6L, 6L, 2L, 2L), remaining_lease_mths = c(1111, 1118, 1127,      1097, 1137, 1131, 1138, 1138, 1118, 1136, 1128, 1111, 1129,      1138, 1102, 1133, 1137, 1111, 1147, 1142), PROX_CBD = c(13.7780295697528,      13.8964286142315, 13.8964286142315, 13.8110145095205, 13.9481332653994,      13.9748767742628, 13.9348601041022, 13.5153222954464, 13.7912064237251,      14.0250110126613, 13.983033341901, 13.8842234613226, 13.4495242740615,      13.8880322509317, 13.8269911518463, 13.5263069451707, 13.7068457080251,      13.8838492138892, 13.9293604468603, 13.9713915856932), PROX_ELDERLYCARE = c(0.24280876806526,      0.28821019895416, 0.28821019895416, 0.2424730747692, 0.108372417523696,      0.0869602171534455, 0.122633260073778, 0.128038783583345,      0.194902312085005, 0.0392522324995346, 0.0819455196406728,      0.284905700992106, 0.226392675254826, 0.250782943854859,      0.272443342502121, 0.13293861465481, 0.409751638237597, 0.321249151015697,      0.234065981952779, 0.226595382415433), PROX_HAWKER = c(0.855348356505915,      0.700607063348248, 0.700607063348248, 0.93957565430704, 0.783686601130967,      0.759405218095962, 0.848294615942255, 1.06471945671836, 0.761066408094757,      0.732915378457501, 0.818439961244233, 0.667389882084889,      1.13086059974118, 0.989318285046145, 0.718894335359525, 1.0232116664491,      1.09574216637781, 0.661984274687099, 0.970053791291438, 0.954180271331751     ), PROX_MRT = c(0.290902656750774, 0.214342865325431, 0.214342865325431,      0.110074032088272, 0.146013494832411, 0.16215489673441, 0.066674836544346,      0.531733722241289, 0.263976344610204, 0.179377644983316,      0.0961191462833423, 0.172676244118343, 0.537207200764636,      0.0905698875540676, 0.250191496834268, 0.529059791722705,      0.23189639897339, 0.202599849124069, 0.101292979723356, 0.128817306959056     ), PROX_PARK = c(1.08412864631293, 0.945155408432775, 0.945155408432775,      1.12286028608686, 0.964943529987853, 0.93793434477989, 1.01289159319472,      1.12627074536918, 1.03946212768551, 0.898948825756494, 0.973290645087517,      0.946790994443363, 1.14705623529365, 1.13098813526459, 1.00953333913803,      1.00320858387115, 1.30108171005294, 0.953674473627188, 1.10248671215858,      1.07610116952693), PROX_GOOD_PRISCH = c(4.27934963146811,      4.42474408393319, 4.42474408393319, 4.2580170038876, 4.41058426346667,      4.4381077472328, 4.3780728039611, 4.05859518452173, 4.37243865161908,      4.48326906164864, 4.42376284483209, 4.46427355245829, 3.97306691053722,      4.29841605508598, 4.43409233459216, 4.12550653324601, 4.11427377683663,      4.48950135049007, 4.33684280477295, 4.37541592083903), PROX_MALL = c(0.507308338763366,      0.36232957329041, 0.36232957329041, 0.585854127158584, 0.431747484707969,      0.408666125180857, 0.500682206465503, 0.741140095950697,      0.47180896375681, 0.387952579177684, 0.475935346664486, 0.384398044205003,      0.817008429043632, 0.648384322611893, 0.464449368072494,      0.734460127270614, 0.786897805640679, 0.415387276861254,      0.634323955575517, 0.625072347077181), PROX_CHAS = c(0.246000912873009,      0.190952462752685, 0.190952462752685, 0.123846030022364,      0.0812590805558053, 0.0955424375353944, 3.70448785353559e-08,      0.0484693686848179, 3.14247486029477e-08, 0.116095717847762,      0.0483941894268844, 0.0936868185767241, 0.142936854782623,      0.0495611607390083, 0.093713435160417, 0.164485608616764,      0.0683167852462459, 0.130388475133542, 0.0456516508281062,      0.0752462089475253), PROX_SUPERMARKET = c(0.271122867675942,      0.190953240917096, 0.190953240917096, 0.157551778944521,      0.194128300134642, 0.205979542456043, 0.112910168339451,      0.321659607097496, 8.52808058992138e-07, 0.21237786594893,      0.123899374628808, 0.093687407280864, 0.417643104955167,      0.0495614942866338, 0.0937132175773042, 0.265115106421715,      0.0683172333971998, 0.130388583033251, 0.04565204632056,      0.0752464841458058), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 1L, 2L, 2L, 2L, 0L, 1L, 2L, 2L, 1L, 0L, 0L, 1L, 0L, 0L,      1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 3L, 3L,      4L, 5L, 4L, 4L, 5L, 4L, 3L, 3L, 3L, 5L, 5L, 5L, 3L, 4L, 5L     ), WITHIN_350M_BUS = c(9L, 9L, 9L, 12L, 7L, 6L, 11L, 6L,      8L, 9L, 11L, 7L, 5L, 11L, 8L, 2L, 14L, 9L, 11L, 11L), WITHIN_1KM_PRISCH = c(6L,      5L, 5L, 4L, 4L, 4L, 4L, 5L, 5L, 4L, 4L, 5L, 4L, 4L, 5L, 6L,      3L, 5L, 4L, 4L), DNeighbour = c(0, 164.265970483249, 166.026752604535,      201.830225285797, 208.924051627172, 236.520178033517, 257.196430393944,      275.905453515397, 276.181207598646, 286.438700887646, 293.278078965478,      306.098952556525, 322.121504233601, 364.796006565596, 366.993048804995,      375.724171660139, 381.582615511921, 384.274032798989, 387.157293999145,      418.739114285852)), row.names = c("282", "760", "442", "645",      "34", "690", "356", "183", "420", "8", "710", "670", "988",      "662", "376", "779", "863", "723", "21", "361"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.715903482561197, 0.710301745270018, 0.589333608443243,      0.564095313767892, 0.463702321895812, 0.387802886508271,      0.320193345288132, 0.319211495669008, 0.283103712163651,      0.25955211689689, 0.216817532292709, 0.166652364681222, 0.058105165349409,      0.0537687089740176, 0.0379850095554472, 0.0287623697614992,      0.0249132169687953, 0.0210697137724703, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1290670431 
R squared (OOB):                  0.4691037 

$Forests[[283]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(403000, 452000, 437000,      450000, 470000, 545000, 435000, 485000, 465000, 450000, 460000,      455000, 475000, 473800, 425000, 455000, 450000, 465000, 460000,      412000), floor_area_sqm = c(90, 95, 94, 95, 93, 93, 94, 95,      95, 94, 92, 92, 92, 90, 90, 93, 90, 90, 92, 90), storey_order = c(3L,      3L, 3L, 3L, 5L, 3L, 2L, 6L, 4L, 4L, 3L, 5L, 5L, 6L, 2L, 4L,      2L, 5L, 3L, 3L), remaining_lease_mths = c(1053, 1121, 1120,      1126, 1125, 1134, 1113, 1113, 1110, 1123, 1097, 1108, 1098,      1140, 1139, 1096, 1134, 1132, 1107, 1034), PROX_CBD = c(14.2313196249897,      14.2856092918761, 14.0691382395842, 14.1366846915735, 14.2374266118925,      14.4432157047801, 14.0214886887106, 14.2445424628862, 14.3101587663686,      14.0429369190019, 14.2694643570804, 14.2694643570804, 14.3437499696049,      14.4131933766039, 14.4131933766039, 14.3469943525049, 14.6796515041342,      14.6796515041342, 14.2518409016409, 13.9701294998534), PROX_ELDERLYCARE = c(1.23431696680562,      1.29536834443332, 1.08280856328681, 1.17371591683522, 1.2819446304668,      1.44181352445962, 1.04333655871926, 1.24643506877499, 1.29024298571696,      1.1015647640471, 1.14423906696184, 1.14423906696184, 1.14464302293932,      1.43140028556732, 1.43140028556732, 1.07571195137499, 1.45102259724198,      1.45102259724198, 0.985840321219444, 0.798789790509628),          PROX_HAWKER = c(1.20453145676494, 1.14967766552968, 1.21079813450924,          1.09084844555913, 1.02089221118434, 1.1926703176924,          1.2014358291776, 0.968852406622053, 0.961388959141492,          1.07710025413616, 0.826638245470088, 0.826638245470088,          0.74882220835846, 1.70733975651849, 1.70733975651849,          0.654543769257927, 0.836784965651702, 0.836784965651702,          0.656651462258042, 0.796241674024292), PROX_MRT = c(0.14509881944895,          0.0748886383392391, 0.281224364060027, 0.218319465176875,          0.148741201515391, 0.142722405117506, 0.325652198483679,          0.184117552261459, 0.148967878322013, 0.324573358240557,          0.30438768875815, 0.30438768875815, 0.217663394995295,          0.160895515953214, 0.160895515953214, 0.131478587775223,          0.391052893274669, 0.391052893274669, 0.189142279194464,          0.262922949537813), PROX_PARK = c(0.30799989212087, 0.297003339879563,          0.468913262301943, 0.474063272255088, 0.440474428767772,          0.164631246691225, 0.524931496780237, 0.481320095248247,          0.444639968372477, 0.58019258504408, 0.599699049952129,          0.599699049952129, 0.636899975343007, 0.362779794623634,          0.362779794623634, 0.731552922713316, 0.566439778554251,          0.566439778554251, 0.785709089572823, 0.929619749314005         ), PROX_GOOD_PRISCH = c(5.24106386657147, 5.27158847877433,          5.07622831499557, 5.09375212835948, 5.16870486361587,          5.44062149940817, 5.02043421457898, 5.1542412945362,          5.21803047984022, 4.9857651679507, 5.12184985907385,          5.12184985907385, 5.1680916684458, 5.6363766911051, 5.6363766911051,          5.13548460888622, 5.51577006817018, 5.51577006817018,          5.03443000866885, 4.76155598853922), PROX_MALL = c(0.200492724858517,          0.136646142991964, 0.352184781664103, 0.295276560881227,          0.22058685557285, 0.0864828813466827, 0.399157770965225,          0.248497232357685, 0.199960318099191, 0.401409437181884,          0.351657486288216, 0.351657486288216, 0.38589862433106,          0.596976127865625, 0.596976127865625, 0.480981762762808,          0.38618207223371, 0.38618207223371, 0.535261743386166,          0.698652085628877), PROX_CHAS = c(0.200492722653611,          0.136646133179357, 0.167321001424632, 0.0995517477546361,          0.177995101264401, 0.0864829242311455, 0.142774662207743,          0.185564313785613, 0.199960275799137, 0.0207330025336023,          0.120456720485379, 0.120456720485379, 0.0401042229543167,          0.168005379342294, 0.168005379342294, 0.0578525184286013,          0.367772140885018, 0.367772140885018, 0.121511881264649,          0.224338502615803), PROX_SUPERMARKET = c(0.210915135620544,          0.146294584623949, 0.167319845962294, 0.0995512052866983,          0.177995229543633, 0.0916346746399726, 0.142773459146917,          0.185564776027004, 0.199173279096103, 0.0207321820187816,          0.244158473149448, 0.244158473149448, 0.165776473264822,          0.168006305985119, 0.168006305985119, 0.0704323341151683,          0.0442147517112349, 0.0442147517112349, 0.121511691834874,          0.281017798180362), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(6L, 6L,          8L, 8L, 8L, 4L, 6L, 9L, 8L, 6L, 10L, 10L, 8L, 4L, 4L,          7L, 4L, 4L, 10L, 7L), WITHIN_350M_BUS = c(6L, 8L, 9L,          8L, 6L, 5L, 9L, 7L, 6L, 9L, 9L, 9L, 8L, 6L, 6L, 8L, 4L,          4L, 9L, 13L), WITHIN_1KM_PRISCH = c(6L, 7L, 7L, 7L, 7L,          5L, 7L, 7L, 7L, 7L, 6L, 6L, 5L, 4L, 4L, 4L, 4L, 4L, 6L,          8L), DNeighbour = c(0, 76.8686237897966, 174.130687333259,          175.663532342548, 187.63803997626, 212.759053739102,          224.220067212584, 241.109493590278, 241.871333904485,          276.889570732694, 385.11750079213, 388.609663590186,          456.774116927733, 550.860164985993, 551.120329865424,          558.061601880735, 566.582427385928, 571.714865024206,          574.886923775173, 650.070594529804)), row.names = c("283",      "32", "57", "76", "537", "240", "878", "349", "142", "754",      "434", "470", "70", "258", "403", "488", "405", "996", "73",      "301"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.972230996608416,      0.861645706867369, 0.859291810832505, 0.8403122565888, 0.797241524457187,      0.776218469507476, 0.743794333403828, 0.742293232310226,      0.670068435626478, 0.421244692358432, 0.41298594789489, 0.256318045508224,      0.0794892704646079, 0.0791071828572046, 0.0691906455308771,      0.05777517187315, 0.0513203175890487, 0.0474949047247856,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1111618122 
R squared (OOB):                  -0.2828871 

$Forests[[284]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(535888, 505000, 510000,      489000, 515000, 510000, 4e+05, 430000, 525000, 460000, 403000,      530000, 440000, 495000, 545000, 535000, 485000, 460000, 437000,      398000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      97, 92, 92, 95, 93, 93, 93, 93, 93, 93, 93, 93), storey_order = c(3L,      4L, 3L, 2L, 2L, 3L, 1L, 1L, 3L, 2L, 1L, 4L, 2L, 5L, 5L, 4L,      2L, 3L, 2L, 1L), remaining_lease_mths = c(1148, 1136, 1141,      1137, 1138, 1136, 1131, 1128, 1098, 1137, 1138, 1106, 1142,      1080, 1127, 1118, 1147, 1138, 1076, 1077), PROX_CBD = c(14.6520289820308,      14.6520289820308, 14.6372730844548, 14.4453014943547, 14.4453014943547,      14.0250110126613, 13.9748767742628, 13.983033341901, 14.3488328635023,      13.9481332653994, 13.9348601041022, 14.4087790426081, 13.9713915856932,      14.2035293519974, 13.8964286142315, 13.8964286142315, 13.9293604468603,      13.8880322509317, 14.2040057462849, 14.2040057462849), PROX_ELDERLYCARE = c(0.613695690312218,      0.613695690312218, 0.618556221806735, 0.431976777822193,      0.431976777822193, 0.0392522324995346, 0.0869602171534455,      0.0819455196406728, 0.805205193908325, 0.108372417523696,      0.122633260073778, 0.87860471100088, 0.226595382415433, 0.685279068417721,      0.28821019895416, 0.28821019895416, 0.234065981952779, 0.250782943854859,      0.732225931930739, 0.732225931930739), PROX_HAWKER = c(0.451492926165754,      0.451492926165754, 0.372997368954845, 0.391270554493315,      0.391270554493315, 0.732915378457501, 0.759405218095962,      0.818439961244233, 0.28631929470226, 0.783686601130967, 0.848294615942255,      0.295591155505828, 0.954180271331751, 0.384064154962602,      0.700607063348248, 0.700607063348248, 0.970053791291438,      0.989318285046145, 0.429643877236979, 0.429643877236979),          PROX_MRT = c(0.194501865291986, 0.194501865291986, 0.272003951573521,          0.309279527401184, 0.309279527401184, 0.179377644983316,          0.16215489673441, 0.0961191462833423, 0.320519516131068,          0.146013494832411, 0.066674836544346, 0.258499173090988,          0.128817306959056, 0.289240493397468, 0.214342865325431,          0.214342865325431, 0.101292979723356, 0.0905698875540676,          0.339881548667158, 0.339881548667158), PROX_PARK = c(0.365417477470037,          0.365417477470037, 0.308864268906528, 0.463863624631307,          0.463863624631307, 0.898948825756494, 0.93793434477989,          0.973290645087517, 0.585388118838944, 0.964943529987853,          1.01289159319472, 0.572778275466331, 1.07610116952693,          0.69423802629866, 0.945155408432775, 0.945155408432775,          1.10248671215858, 1.13098813526459, 0.735378016798131,          0.735378016798131), PROX_GOOD_PRISCH = c(5.11305585404091,          5.11305585404091, 5.11658251455146, 4.92565705183443,          4.92565705183443, 4.48326906164864, 4.4381077472328,          4.42376284483209, 4.99658730632735, 4.41058426346667,          4.3780728039611, 5.07040230577432, 4.37541592083903,          4.84858590291698, 4.42474408393319, 4.42474408393319,          4.33684280477295, 4.29841605508598, 4.87692111553996,          4.87692111553996), PROX_MALL = c(0.462374515344904, 0.462374515344904,          0.415222463814875, 0.259948531881284, 0.259948531881284,          0.387952579177684, 0.408666125180857, 0.475935346664486,          0.415696526053807, 0.431747484707969, 0.500682206465503,          0.48422641650143, 0.625072347077181, 0.37351280301214,          0.36232957329041, 0.36232957329041, 0.634323955575517,          0.648384322611893, 0.458083927679449, 0.458083927679449         ), PROX_CHAS = c(0.131494587645238, 0.131494587645238,          0.210026666936211, 0.259948576333881, 0.259948576333881,          0.116095717847762, 0.0955424375353944, 0.0483941894268844,          0.232702657922268, 0.0812590805558053, 3.70448785353559e-08,          0.263312743704905, 0.0752462089475253, 0.170907589664044,          0.190952462752685, 0.190952462752685, 0.0456516508281062,          0.0495611607390083, 0.0920652608940773, 0.0920652608940773         ), PROX_SUPERMARKET = c(0.133013806318261, 0.133013806318261,          0.207346349364418, 0.257218468152336, 0.257218468152336,          0.21237786594893, 0.205979542456043, 0.123899374628808,          0.232703172737007, 0.194128300134642, 0.112910168339451,          0.263313051629592, 0.0752464841458058, 0.170908382081647,          0.190953240917096, 0.190953240917096, 0.04565204632056,          0.0495614942866338, 0.0920659899308881, 0.0920659899308881         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 1L, 2L,          2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L, 4L, 4L, 5L,          4L, 4L, 6L, 3L, 5L, 6L, 5L, 5L, 4L, 4L, 4L, 3L, 5L, 5L         ), WITHIN_350M_BUS = c(6L, 6L, 4L, 6L, 6L, 9L, 6L, 11L,          9L, 7L, 11L, 10L, 11L, 9L, 9L, 9L, 11L, 11L, 9L, 9L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,          6L, 4L, 4L, 5L, 4L, 5L, 5L, 5L, 4L, 4L, 5L, 5L), DNeighbour = c(0,          1.84430219874641, 79.3822147424369, 215.716579389235,          216.006558759632, 629.532169643081, 679.934774056619,          693.049933219319, 712.90836240256, 713.284053690996,          732.326761852712, 741.66637291079, 752.246376935607,          757.434359125905, 772.748005575442, 777.044014536291,          789.021124022425, 820.217989317016, 827.807724740038,          830.175061970851)), row.names = c("284", "958", "846",      "50", "855", "8", "690", "710", "363", "34", "356", "969",      "361", "66", "442", "760", "21", "662", "911", "448"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999990129168793, 0.981796829428264, 0.869520327631511,      0.869181592201588, 0.180592764216871, 0.108370519185215,      0.0918509132829374, 0.0689365402951577, 0.0685288961969461,      0.0492117606768403, 0.040748398934767, 0.0320154993100144,      0.0280778330794036, 0.0178393791588836, 0.0153521137472616,      0.00934852315739504, 0.00056853786197185, 3.24340781044039e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1962572311 
R squared (OOB):                  0.1653929 

$Forests[[285]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 360000, 380000,      370000, 416000, 370000, 380000, 336000, 320000, 340000, 325000,      326000, 308000, 348000, 335000, 362000, 338000, 303888, 355000,      370000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 93, 90,      91, 90, 90, 101, 90, 95, 90, 94, 94, 90, 94, 95), storey_order = c(2L,      2L, 2L, 4L, 6L, 1L, 2L, 2L, 1L, 4L, 4L, 1L, 2L, 1L, 5L, 4L,      2L, 5L, 4L, 5L), remaining_lease_mths = c(1136, 1135, 1132,      1142, 1132, 1125, 1134, 966, 980, 1011, 973, 942, 948, 968,      998, 976, 1076, 1008, 1070, 977), PROX_CBD = c(18.1376577985599,      18.1376577985599, 18.1279148711176, 18.1918996486136, 18.2305685201872,      18.2305685201872, 18.2143914696608, 18.263890012402, 18.4122801485573,      18.5954829873069, 18.5353901232527, 17.6460086713989, 17.5548574672099,      18.0323194354466, 18.976831626196, 18.3273029006797, 18.893500205596,      19.0279685600245, 18.9417612550563, 18.2449080671561), PROX_ELDERLYCARE = c(2.49441526227585,      2.49441526227585, 2.51087611030153, 2.49884668013329, 2.5602844754638,      2.5602844754638, 2.48612553786713, 2.93603771613334, 3.05606256580079,      3.21245115339435, 3.18651864771223, 2.69583292953839, 2.64072586785555,      2.88259030935981, 3.28231449363414, 2.7120525382807, 3.10102691254995,      3.26154359027314, 3.09832013994742, 2.54228790651909), PROX_HAWKER = c(0.528296501129656,      0.528296501129656, 0.487567663506197, 0.600683099416637,      0.555435817196439, 0.555435817196439, 0.65924673205969, 0.135415800319106,      0.284310921582288, 0.468862715548992, 0.491879726860981,      0.543702723258422, 0.624754154933827, 0.459055170630849,      0.923592674397851, 0.729165861663657, 0.926259022488312,      0.990561993667382, 0.981837341088666, 0.859760115655931),          PROX_MRT = c(0.789676869843372, 0.789676869843372, 0.74928998522808,          0.859544339931905, 0.810957189319413, 0.810957189319413,          0.88189566435518, 0.269488316579814, 0.34633408104891,          0.485913485771313, 0.375479822529604, 0.514213843772978,          0.605396305517498, 0.228324090957444, 0.822784932057268,          0.470919202147399, 0.777214903782309, 0.880588410111357,          0.831940647091921, 0.597257652192269), PROX_PARK = c(0.276326305891841,          0.276326305891841, 0.317511189836545, 0.210024151789668,          0.269300347674678, 0.269300347674678, 0.161329073171627,          0.826451671225411, 0.872887750975024, 0.966363588730214,          1.15334089580929, 0.873328686748902, 0.801838254358626,          1.25712692932115, 1.4431849310919, 1.51959638840156,          1.53153013283021, 1.5140651316136, 1.58031197441792,          1.66089445329223), PROX_GOOD_PRISCH = c(8.50873818737911,          8.50873818737911, 8.49670627721454, 8.56698720173726,          8.60245346442475, 8.60245346442475, 8.59299650088468,          8.61262144573917, 8.76068312560123, 8.94334048589707,          8.87993213136606, 7.99076792195858, 7.89964805631792,          8.37645219680457, 9.32093903042593, 8.6741083827629,          9.23793284137011, 9.37202430611723, 9.2863930262578,          8.59525181849715), PROX_MALL = c(0.814982856398022, 0.814982856398022,          0.819155488013484, 0.849415447505653, 0.89702383385846,          0.89702383385846, 0.861156548991099, 0.374925429890344,          0.458641270318743, 0.594166870248601, 0.460655941356388,          0.441435937338541, 0.456293365362214, 0.12060760008054,          0.897736377807805, 0.437943127987326, 0.833273819621717,          0.951179576311185, 0.886414086630636, 0.537890109309282         ), PROX_CHAS = c(0.0547102897319272, 0.0547102897319272,          0.0462043949149095, 0.110754204684376, 0.080524556228062,          0.080524556228062, 0.170239874320939, 0.0541347282504724,          0.182706372800723, 0.186588167457245, 0.165734202429707,          0.441435968696221, 0.456293399812874, 0.120607657412939,          0.237819060284531, 0.319053536773146, 0.143741090403558,          0.184556275618948, 0.0880613138842689, 0.274147949012332         ), PROX_SUPERMARKET = c(0.504768063926141, 0.504768063926141,          0.467157902200199, 0.565642852259794, 0.512175097136782,          0.512175097136782, 0.532940464268134, 0.0541355525390397,          0.182706945219403, 0.195869762300225, 0.167679568764744,          0.446325988440648, 0.425112192123464, 0.119017844673248,          0.322795161753339, 0.198027823348086, 0.218188374485768,          0.3125742651816, 0.175726554209016, 0.161035318973668         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 2L, 2L, 2L, 1L, 1L, 2L, 3L, 0L, 2L, 2L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L, 2L, 3L, 3L,          3L, 5L, 7L, 4L, 7L, 2L, 2L, 4L, 4L, 6L, 4L, 2L, 4L, 4L         ), WITHIN_350M_BUS = c(10L, 10L, 10L, 6L, 7L, 7L, 6L,          11L, 12L, 10L, 12L, 11L, 8L, 14L, 9L, 12L, 8L, 6L, 8L,          9L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          4L, 5L, 5L, 5L, 3L, 2L, 4L, 4L, 5L, 4L, 4L, 4L, 5L),          DNeighbour = c(0, 11.2606461819877, 40.0199182753111,          83.5071778343575, 91.4200775147223, 94.8072082882823,          144.872818172172, 552.935038921465, 614.817717791343,          733.329356606346, 902.84147344894, 909.149622853352,          962.971946312216, 979.157473668127, 1235.47818816552,          1243.54919121935, 1299.26445820269, 1307.09464124882,          1349.02319758171, 1385.55942085222)), row.names = c("285",      "378", "461", "600", "401", "770", "790", "548", "722", "901",      "838", "456", "514", "354", "915", "873", "745", "570", "932",      "5"), class = "data.frame"), num.trees = 500, mtry = 4, importance = "impurity",      case.weights = c(1, 0.999867903300345, 0.998332173446344,      0.992748333739925, 0.991312066533491, 0.990657899742035,      0.978254319395347, 0.706849173379218, 0.644971997342329,      0.518223766202081, 0.331093372487057, 0.324276891777652,      0.267254698180912, 0.250593179338877, 0.0419854351913204,      0.0378229755991483, 0.0145647109970983, 0.0121118370235933,      0.00270849963096798, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       523474437 
R squared (OOB):                  0.3438925 

$Forests[[286]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(518000, 520000, 710000,      685000, 740000, 790000, 390000, 380000, 430000, 580000, 705000,      416000, 708000, 575000, 545000, 680000, 550000, 715000, 662000,      675000), floor_area_sqm = c(93, 101, 101, 102, 95, 95, 84,      89, 92, 90, 90, 91, 90, 101, 101, 95, 102, 95, 95, 95), storey_order = c(4L,      1L, 2L, 4L, 4L, 6L, 1L, 5L, 2L, 5L, 7L, 4L, 5L, 6L, 1L, 4L,      3L, 6L, 3L, 2L), remaining_lease_mths = c(736, 929, 933,      929, 954, 946, 783, 653, 687, 1035, 1041, 713, 1031, 932,      938, 1084, 761, 1099, 1093, 1093), PROX_CBD = c(4.29040868967057,      4.23995407977096, 4.27954241101507, 4.15915934561343, 4.09909964212454,      4.0690703028165, 4.91139217141794, 4.19301197437796, 5.17330173892321,      3.73787601157873, 3.66612298934168, 5.10609859014938, 3.56091441303422,      5.56255806753875, 3.59494173601466, 6.04001281876484, 6.04257091454572,      6.06656257116635, 6.11286474740545, 6.15852201326599), PROX_ELDERLYCARE = c(1.28169673214061,      1.29004325258708, 1.2084977158608, 1.31127122179184, 1.44919747885979,      1.5676876481467, 0.53976690699019, 1.05465194719342, 0.151830290872251,      0.836612932336762, 0.851600940224316, 0.320090253923576,      0.885388735780595, 0.0599829320550621, 0.692364880740494,      0.545921172841312, 0.548656319889636, 0.516985202466339,      0.471592353212743, 0.428116600598184), PROX_HAWKER = c(0.224814451985556,      0.242979724501726, 0.32780610994166, 0.296724849746491, 0.17841116959893,      0.124697776657811, 0.526793317066312, 0.297392426102438,      0.261285820740611, 0.15676751515481, 0.157376553669701, 0.333568708255903,      0.210501859943959, 0.248163252655802, 0.142789347249218,      0.0606577495598573, 0.19523132016882, 0.0900485470251793,      0.0855319563513606, 0.104458461300263), PROX_MRT = c(0.386818680985449,      0.369514902074349, 0.45128979061194, 0.361454140857751, 0.212082976996148,      0.103251860461982, 0.348715950460643, 0.670866804568908,      0.568944969773001, 0.349678715281184, 0.281331556481731,      0.549226257235714, 0.1853881461208, 0.389634730949481, 0.346622733589529,      0.53617676606472, 0.448203274012385, 0.530436532640755, 0.576684647572531,      0.567634817298681), PROX_PARK = c(0.41256712340984, 0.410157320226128,      0.496161896442625, 0.424082148410156, 0.271559050503854,      0.13380185088312, 0.454973393404149, 1.34668044149268, 0.375618223612072,      1.14436990313984, 1.07330463343821, 0.534309547143458, 0.969171323132551,      0.136342453682232, 1.03638785093261, 0.524571131123829, 0.651264615899835,      0.548254609843109, 0.517760851715104, 0.487498062645995),          PROX_GOOD_PRISCH = c(3.11124078456354, 3.17375518133788,          3.1984009939005, 3.27316539077024, 3.22696055518642,          3.17062142916436, 3.07957394860643, 4.04417128338034,          3.5160560831601, 4.42346384619917, 4.46068770698473,          3.68539306501406, 4.51522724145722, 3.30515733544794,          4.68517728936996, 2.00925132829891, 2.14268529299874,          2.03651743937875, 2.00772186702724, 1.97696478280336),          PROX_MALL = c(1.14104925826379, 1.09860538958518, 1.15459749844864,          1.03381347643634, 0.944512912155433, 0.898524741072254,          0.779372162435287, 1.51326780463499, 0.96360119165526,          1.03774509228272, 0.971442928620489, 1.13513631747826,          0.87678025015548, 0.719385659919303, 0.814872047472938,          0.387042201482337, 0.264532440460292, 0.365617038961166,          0.403935094648282, 0.446404896609829), PROX_CHAS = c(0.0683025043642396,          0.128246501394164, 0.151798893835737, 0.22718451096924,          0.199996678091121, 0.162166521351491, 0.297280152993809,          0.212246176955017, 0.213267381067323, 0.0809467071188201,          0.108213750221125, 0.37199840586913, 0.0998361253719761,          0.174009235365936, 0.0573592222158038, 0.134421273847083,          0.12619956254809, 0.0929349198733403, 0.0679258481743644,          0.0766942583569258), PROX_SUPERMARKET = c(0.200251285306447,          0.23908756643158, 0.314587216673928, 0.31622643534726,          0.232527384837024, 0.209119590970966, 0.212061147632098,          0.306178228663922, 0.266791583668656, 0.184584314799668,          0.131005301990959, 0.424647979009491, 0.103744685928207,          0.173881454941229, 0.0573596645426592, 0.0393286469640316,          0.178930757423705, 0.0785030623714358, 0.0895469396191502,          0.11965836137487), WITHIN_350M_KINDERGARTEN = c(3L, 4L,          3L, 4L, 5L, 4L, 1L, 0L, 2L, 1L, 1L, 0L, 1L, 1L, 1L, 1L,          0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 4L, 2L,          10L, 9L, 8L, 2L, 1L, 4L, 3L, 3L, 4L, 3L, 4L, 3L, 4L,          4L, 3L, 3L, 3L), WITHIN_350M_BUS = c(4L, 4L, 2L, 4L,          8L, 5L, 7L, 5L, 4L, 7L, 7L, 4L, 9L, 2L, 4L, 8L, 7L, 8L,          6L, 6L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L, 1L,          2L, 1L, 3L, 0L, 0L, 3L, 0L, 3L, 0L, 1L, 1L, 1L, 1L, 2L         ), DNeighbour = c(0, 71.2044210735021, 114.563953673455,          163.863533179857, 201.373426569056, 294.918824840406,          765.051482034637, 1089.0057324821, 1318.32813439643,          1349.69090595166, 1372.30823928547, 1385.00029020986,          1416.58671906269, 1557.32506374363, 1595.53945923985,          1746.67031529563, 1751.01702172368, 1777.49700246687,          1814.27252528784, 1868.21776678279)), row.names = c("286",      "145", "767", "763", "784", "575", "251", "993", "270", "823",      "903", "853", "881", "596", "997", "930", "453", "297", "536",      "23"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.997096823984352,      0.992493220770959, 0.984672693541961, 0.976898028569453,      0.950780787565552, 0.692727620248493, 0.435882675600044,      0.252046939862365, 0.228549330956025, 0.211995154652228,      0.202862429748184, 0.18066608723492, 0.0931043280395757,      0.0732295014571293, 0.0158478895191119, 0.0147701283395785,      0.00897984384472041, 0.00323951140187302, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11875217929 
R squared (OOB):                  0.2521511 

$Forests[[287]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 420000, 460000,      418000, 435000, 436000, 440000, 420000, 440000, 456500, 395000,      365000, 441000, 445000, 425000, 358000, 420000, 450000, 415000,      450000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 94, 94, 93, 94, 94, 93, 94, 94, 94, 93), storey_order = c(8L,      6L, 7L, 6L, 2L, 7L, 8L, 5L, 5L, 8L, 4L, 1L, 6L, 6L, 6L, 1L,      7L, 7L, 6L, 9L), remaining_lease_mths = c(1140, 1142, 1125,      1129, 1128, 1139, 1142, 1132, 1124, 1144, 1113, 1095, 1097,      1109, 1119, 1103, 1120, 1119, 1120, 1136), PROX_CBD = c(12.02897658153,      12.02897658153, 12.02897658153, 12.02897658153, 12.042332185553,      12.042332185553, 12.042332185553, 12.042332185553, 12.0234479092478,      11.9527102757424, 11.9744040829633, 11.7965908296893, 11.8078122246038,      12.1122271384014, 11.9828723130509, 11.8075546541859, 12.0119641769274,      12.0119641769274, 11.7484946081343, 12.1741021183779), PROX_ELDERLYCARE = c(0.841755023464642,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.938035651111226, 0.819362766143575,      0.738781707341689, 1.00802268588986, 0.95260617550949, 0.629785153682861,      0.710325725805382, 0.922118515238085, 0.673044116243487,      0.673044116243487, 1.16050252277995, 0.519600844901231),          PROX_HAWKER = c(0.409616357379742, 0.409616357379742,          0.409616357379742, 0.409616357379742, 0.369655971945997,          0.369655971945997, 0.369655971945997, 0.369655971945997,          0.507473565259923, 0.27814297307049, 0.217370340361849,          0.337854809554552, 0.262687630178652, 0.337796349528525,          0.20448046373977, 0.209140712961875, 0.222580914455278,          0.222580914455278, 0.512143004921159, 0.375471053349032         ), PROX_MRT = c(0.331072457322778, 0.331072457322778,          0.331072457322778, 0.331072457322778, 0.298263347673859,          0.298263347673859, 0.298263347673859, 0.298263347673859,          0.394231498000209, 0.200702114351669, 0.167322140356011,          0.249549573241666, 0.173777829752023, 0.302747284955937,          0.170867756883987, 0.120215557602138, 0.201095784108649,          0.201095784108649, 0.425815084561206, 0.338849049026276         ), PROX_PARK = c(0.529446955515876, 0.529446955515876,          0.529446955515876, 0.529446955515876, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.542226246468638,          0.506408767470305, 0.643017670933737, 0.679906922269617,          0.739061594864021, 0.746013140888617, 0.576425078157325,          0.697136724289492, 0.747098338531098, 0.691047645736797,          0.691047645736797, 0.660489483199184, 0.612679613149166         ), PROX_GOOD_PRISCH = c(2.36775586018775, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.39172047379238, 2.270018309959, 2.27223739349538, 2.14271827973834,          2.13533890725473, 2.408030235171, 2.27447890050516, 2.12338877581429,          2.29976812492723, 2.29976812492723, 2.14657014261275,          2.45580221931744), PROX_MALL = c(0.358721564938295, 0.358721564938295,          0.358721564938295, 0.358721564938295, 0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.441394824612777, 0.232344363503357, 0.214069216816763,          0.241737870027575, 0.17025857997445, 0.350899017798137,          0.220402811054307, 0.119447773727589, 0.251262654177611,          0.251262654177611, 0.411213390710639, 0.416829357908565         ), PROX_CHAS = c(0.25157977989641, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.223839041128234, 0.146038815472653, 0.0939357367291076,          0.101692541492014, 0.170258520163124, 0.0703863092474096,          0.0995919009989899, 0.11944771257822, 0.131248018016709,          0.131248018016709, 0.0876622280470988, 0.0461624602204791         ), PROX_SUPERMARKET = c(0.314501000490003, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.244018176385425, 0.237998550380205, 0.22318738818849,          0.17897337633635, 0.168966076328732, 0.360308355053667,          0.230351837454113, 0.119571834445138, 0.261515416493987,          0.261515416493987, 1.21715176356525e-07, 0.427183407476201         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 2L, 5L, 7L, 3L, 4L, 7L, 6L, 4L, 6L, 6L, 2L, 7L         ), WITHIN_350M_BUS = c(11L, 11L, 11L, 11L, 10L, 10L,          10L, 10L, 10L, 12L, 10L, 9L, 11L, 7L, 7L, 10L, 6L, 6L,          11L, 5L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L         ), DNeighbour = c(0, 2.48704539862909, 4.08885968934772,          6.0566132822839, 63.3392697709826, 64.6062168561619,          64.8255600515737, 66.2156180532617, 114.312747187266,          139.226716560489, 217.74066711751, 228.219014350294,          230.729455941481, 235.89235929005, 250.541668587095,          254.517775748287, 273.60370196214, 278.701967735863,          330.812135142351, 342.847188706572)), row.names = c("287",      "318", "874", "700", "908", "573", "16", "634", "502", "749",      "858", "41", "439", "607", "203", "724", "167", "947", "441",      "621"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999894759037966,      0.999715552357161, 0.999375948073609, 0.932903546663118,      0.930241470488988, 0.929775629866919, 0.926789494597727,      0.790018526425515, 0.697377220071065, 0.355995819889933,      0.310136797058193, 0.299315468299375, 0.277309501183932,      0.217135958712976, 0.201505921381176, 0.131871958231797,      0.115047504597433, 0.00475745111582499, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       802319841 
R squared (OOB):                  -0.08066215 

$Forests[[288]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(445000, 480000, 446000,      680000, 638000, 515000, 680000, 545000, 650000, 450000, 838000,      520000, 760000, 582000, 815000, 538000, 315000, 409500, 418000,      630000), floor_area_sqm = c(84, 94, 94, 76, 105, 110, 86,      86, 86, 104, 91, 107, 91, 104, 91, 90, 87, 84, 84, 101),          storey_order = c(3L, 6L, 2L, 11L, 3L, 1L, 3L, 1L, 3L,          1L, 12L, 2L, 9L, 3L, 11L, 5L, 1L, 3L, 3L, 2L), remaining_lease_mths = c(647,          725, 723, 1071, 918, 859, 1025, 1025, 1018, 828, 1106,          892, 1091, 935, 1109, 995, 633, 807, 804, 952), PROX_CBD = c(4.82546817648507,          4.50933618399607, 4.45295385586978, 5.17664618337401,          5.24252163748666, 5.31333197008925, 5.19905620756448,          5.19905620756448, 5.26278746968545, 5.12061996426338,          5.38577040159704, 4.23142849537126, 5.4124717534787,          5.4901102241405, 5.46273996086224, 4.4759193492502, 5.88382015009973,          4.20973993763024, 4.20973993763024, 5.76616775136128),          PROX_ELDERLYCARE = c(0.401252043911139, 0.665866395733666,          0.645271528549996, 0.203403853153192, 0.232760622048558,          0.301885421229742, 0.3148233892717, 0.3148233892717,          0.310343810032976, 0.279354008399566, 0.343873602324804,          0.272010492111063, 0.277453528347438, 0.157919913507301,          0.323825203617813, 0.136621520737764, 0.599695566252105,          0.156291063754703, 0.156291063754703, 0.708186986363007         ), PROX_HAWKER = c(0.33634581375869, 0.665007751295857,          0.601904675681234, 0.242990200436355, 0.316098981667774,          0.15027253820603, 0.424686940189847, 0.424686940189847,          0.356302899600742, 0.158729667464322, 0.225377370173431,          0.392124905911543, 0.214745652304629, 0.258924665495,          0.17988889362956, 0.736355433757935, 0.302293625820731,          0.46881842734995, 0.46881842734995, 0.25612232537118),          PROX_MRT = c(0.437510974512092, 0.549595780709265, 0.66128766903618,          0.347215067697513, 0.353807427048722, 0.839256513816073,          0.253583166891469, 0.253583166891469, 0.321982757522174,          1.12797954219589, 0.452916639575337, 0.870814763860364,          0.525678460826462, 1.30755754576723, 0.495510769155532,          0.930431293452388, 0.37771060533367, 0.750034220630686,          0.750034220630686, 0.0934691468297738), PROX_PARK = c(0.386749503328341,          0.353281501558379, 0.473457593144303, 0.502895249788983,          0.540897442657821, 0.919693677764514, 0.482110245392283,          0.482110245392283, 0.550000337404237, 1.12857946410316,          0.680409922157526, 0.989030190878471, 0.766524211973089,          0.803347187860442, 0.816564732509704, 0.786607284590569,          1.09766236241216, 0.828179073128827, 0.828179073128827,          1.02675087524374), PROX_GOOD_PRISCH = c(2.65585299610189,          2.94429219434277, 3.02211493728223, 2.27859573799937,          2.20280244575696, 2.32631552336422, 2.22494939608982,          2.22494939608982, 2.16237499594262, 2.70116277997296,          2.04281306492033, 3.47561641519302, 2.04167837943161,          2.45379201830723, 1.99475835919692, 3.43096694593549,          1.61186682958131, 3.58178441884724, 3.58178441884724,          1.65694818911091), PROX_MALL = c(0.337875853585261, 0.485349818185599,          0.570379319619026, 0.285366785950761, 0.315823950773482,          0.752077094160308, 0.31885342913617, 0.31885342913617,          0.38523327442887, 1.02774547618649, 0.513452616263142,          1.1888213641646, 0.636573036587929, 1.21674302842157,          0.68208602871978, 1.02435160052226, 0.966526596905427,          1.26743973989934, 1.26743973989934, 0.834887080030876         ), PROX_CHAS = c(0.315432137833306, 0.331046161101227,          0.303272176186244, 0.0737889624358689, 0.0731998871787336,          0.111194343620761, 0.211748617283041, 0.211748617283041,          0.188692357663819, 0.193072984237221, 0.180097972613039,          0.106822211501606, 0.208534953207918, 0.233242749827373,          0.185272865297861, 0.105578702221058, 0.256579842259861,          0.163154212627783, 0.163154212627783, 0.143086854941205         ), PROX_SUPERMARKET = c(0.0907256678718214, 0.325943517329761,          0.34627255092781, 0.177322353300672, 0.266280670019211,          0.370675298005651, 0.199301193911681, 0.199301193911681,          0.267150206458008, 0.198191070641627, 0.397689630461078,          0.139079920157556, 0.496000676868079, 0.37596142908425,          0.544212695479659, 0.0670716613901785, 0.27867057765081,          0.118448079318654, 0.118448079318654, 0.318319510093507         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 3L, 1L,          4L, 4L, 4L, 1L, 4L, 2L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 1L, 1L, 7L, 5L, 3L,          6L, 6L, 5L, 4L, 7L, 6L, 4L, 3L, 4L, 2L, 4L, 3L, 3L, 1L         ), WITHIN_350M_BUS = c(8L, 5L, 6L, 9L, 10L, 12L, 9L,          9L, 9L, 9L, 8L, 7L, 7L, 10L, 8L, 5L, 8L, 7L, 7L, 8L),          WITHIN_1KM_PRISCH = c(2L, 0L, 1L, 4L, 4L, 3L, 3L, 3L,          3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 4L), DNeighbour = c(0,          328.530591649286, 378.391140016618, 387.352349462672,          465.688725625662, 583.686605236469, 639.271953282704,          640.25026180222, 701.995527003412, 736.71927791441, 819.942643754728,          906.25008016177, 960.157148821217, 993.208027494047,          1004.96310635884, 1052.4310267346, 1058.72987702891,          1059.30756561836, 1060.15498319403, 1069.70435296181)), row.names = c("288",      "622", "346", "897", "472", "279", "181", "533", "199", "646",      "116", "849", "436", "307", "75", "411", "201", "382", "907",      "430"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.820248271150772,      0.765401072545695, 0.754944100566027, 0.656871553486772,      0.493174168792666, 0.413263395193023, 0.411858092337388,      0.324140552097848, 0.276333600465349, 0.17012103894592, 0.0796693646448694,      0.037764205941376, 0.0190189992131698, 0.0137785670241569,      0.00102622613320079, 0.000416709112850264, 0.000374196270756429,      0.000315933888020757, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11788791880 
R squared (OOB):                  0.4126898 

$Forests[[289]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 410000, 432000,      333000, 415000, 335000, 388000, 365000, 305000, 360000, 323000,      313000, 305000, 371000, 325000, 349000, 375000, 315000, 339000,      338000), floor_area_sqm = c(92, 92, 92, 99, 92, 100, 92,      92, 99, 99, 101, 99, 99, 100, 91, 103, 102, 102, 102, 102     ), storey_order = c(1L, 2L, 4L, 3L, 2L, 4L, 1L, 1L, 4L, 3L,      1L, 4L, 1L, 2L, 2L, 2L, 3L, 2L, 3L, 4L), remaining_lease_mths = c(1121,      1136, 1123, 927, 1125, 927, 1134, 1135, 930, 915, 937, 918,      921, 918, 970, 832, 932, 913, 923, 922), PROX_CBD = c(17.7152334804069,      17.7152334804069, 17.7152334804069, 17.6933534103443, 17.7609329148819,      17.5934100264964, 17.8160591469996, 17.8160591469996, 17.5508688704121,      17.6482187406162, 17.4093430047218, 17.8728040148932, 17.9733391318796,      17.9318121245061, 17.7083177660008, 18.0642207733449, 17.424297644009,      17.9994058772431, 17.9456645257603, 18.1611534549189), PROX_ELDERLYCARE = c(0.0982899037000713,      0.0982899037000713, 0.0982899037000713, 0.174626049595048,      0.0656405943898966, 0.183364759720919, 0.101440000613482,      0.101440000613482, 0.169110695114153, 0.399377154365588,      0.347622879353981, 0.330981516384048, 0.376016337241346,      0.559180828327224, 0.378187975507624, 0.558648465009425,      0.332680427012888, 0.430537495183344, 0.476454782767532,      0.519233937445895), PROX_HAWKER = c(0.815736811633103, 0.815736811633103,      0.815736811633103, 0.89059259132002, 0.769612072642938, 0.860123145519879,      0.755409785256781, 0.755409785256781, 0.736171211400498,      1.11261554439583, 0.646263997619536, 0.446535534086157, 0.501520555884575,      1.18812307179958, 0.340346390827249, 1.20831273824173, 1.2762396177499,      0.472244893923117, 0.3648710200987, 0.617364695979906), PROX_MRT = c(0.674833365376197,      0.674833365376197, 0.674833365376197, 0.606842528225389,      0.714624513867521, 0.675234243169572, 0.729659889526201,      0.729659889526201, 0.804998329325227, 0.417091391951799,      0.722831181419355, 0.4868918768976, 0.52882455357406, 0.256828620430729,      0.403335562748004, 0.387700307898407, 0.484502150769697,      0.492638498779759, 0.385567417899789, 0.623413162025338),          PROX_PARK = c(1.52614967260321, 1.52614967260321, 1.52614967260321,          1.49905344652453, 1.52091098886828, 1.60355051242194,          1.49250729308795, 1.49250729308795, 1.71737354643835,          1.38656874841243, 1.92330050908574, 1.69875568186822,          1.62685700377268, 1.11695175135574, 1.86766019581863,          1.04306097562022, 1.39102562335911, 1.65421298847909,          1.76180373116006, 1.52418818882418), PROX_GOOD_PRISCH = c(8.35538963357137,          8.35538963357137, 8.35538963357137, 8.34857469941546,          8.39120163011403, 8.24279341902993, 8.44175881664207,          8.44175881664207, 8.17476856172454, 8.34983568407236,          8.00696366683488, 8.43952013253886, 8.54142359534323,          8.65275846320069, 8.26299778187914, 8.76549326341746,          8.1609833985331, 8.5589292690065, 8.49089982759618, 8.72758527833631         ), PROX_MALL = c(0.158599011552442, 0.158599011552442,          0.158599011552442, 0.223321337745784, 0.147411017927622,          0.188384425612312, 0.183177100903513, 0.183177100903513,          0.109574351562212, 0.439097430243665, 0.265229996889848,          0.330972758922268, 0.395841490391381, 0.417130987397582,          0.335143296665789, 0.424594513900518, 0.394560370801339,          0.446560923090423, 0.428159644756295, 0.475604736810637         ), PROX_CHAS = c(0.158598978424062, 0.158598978424062,          0.158598978424062, 0.21485891447712, 0.14741100268466,          0.151781240761386, 0.183177099178452, 0.183177099178452,          0.048268048492383, 0.414359256629807, 0.23105278557526,          0.330972805611547, 0.364030465322827, 0.259891808560044,          0.30242004444134, 0.124680964632411, 0.265229996652697,          0.324811070171065, 0.218909691095897, 0.405258493214775         ), PROX_SUPERMARKET = c(0.144345834884574, 0.144345834884574,          0.144345834884574, 0.218378438252518, 0.113022549454425,          0.209139790637019, 0.137568853383185, 0.137568853383185,          0.15801430638391, 0.441697647833666, 0.313773352526138,          0.300218301814749, 0.356071330024396, 0.438907970807184,          0.332189289926598, 0.424593495373258, 0.265230176390619,          0.408691343873882, 0.365864675212809, 0.475604214408431         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 1L,          2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 5L, 8L, 6L,          8L, 8L, 7L, 3L, 7L, 4L, 3L, 3L, 6L, 2L, 2L, 4L, 3L, 5L         ), WITHIN_350M_BUS = c(12L, 12L, 12L, 13L, 10L, 12L,          15L, 15L, 12L, 9L, 13L, 8L, 11L, 9L, 7L, 7L, 9L, 9L,          8L, 10L), WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 8L, 6L, 8L,          6L, 6L, 6L, 7L, 5L, 7L, 7L, 7L, 5L, 6L, 5L, 7L, 6L, 6L         ), DNeighbour = c(0, 6.53229958602655, 9.72577917806482,          71.8253295472795, 73.8068613175879, 119.018375322426,          122.768267515329, 123.734073533096, 188.259712243743,          294.520203665227, 402.028787222296, 428.671495441128,          467.133940917286, 470.74153246949, 485.23526382544, 485.467720604061,          511.023734847349, 520.286454046581, 574.8363168218, 589.126433680439         )), row.names = c("289", "13", "298", "112", "365", "419",      "53", "402", "438", "891", "174", "992", "179", "976", "544",      "773", "736", "177", "20", "330"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999754122682365, 0.999454992347425, 0.97049276730695, 0.968855256259472,      0.920037448044713, 0.915032783102237, 0.913720926045417,      0.806194002381792, 0.562609515017672, 0.285486749735299,      0.221408995986948, 0.137839645637691, 0.130695948732938,      0.1034246995854, 0.103006951489346, 0.0612917445577543, 0.0484210096639819,      0.002296760371342, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       559790636 
R squared (OOB):                  0.6500065 

$Forests[[290]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(435000, 410000, 420000,      398000, 4e+05, 373000, 425000, 410000, 418000, 345000, 365000,      455000, 385000, 312000, 320000, 465000, 3e+05, 450000, 305000,      330000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 93,      112, 95, 91, 106, 90, 107, 104, 106, 85, 93, 90, 105), storey_order = c(4L,      3L, 5L, 2L, 1L, 1L, 4L, 4L, 5L, 3L, 4L, 4L, 3L, 1L, 2L, 2L,      2L, 4L, 1L, 1L), remaining_lease_mths = c(1129, 1131, 1134,      1136, 1127, 1128, 1126, 1117, 904, 1003, 1061, 933, 1060,      779, 779, 933, 979, 950, 966, 896), PROX_CBD = c(17.2397585888566,      17.2397585888566, 17.2397585888566, 17.26435404508, 17.1731083577317,      17.1731083577317, 17.3263676504413, 17.3263676504413, 17.2048826778539,      17.7047470513727, 17.5974072281911, 17.1634204962367, 17.6242343596777,      16.6890813896757, 16.6890813896757, 17.1401277939721, 18.0119212314593,      17.4336546583772, 18.0816861587931, 17.9794873864528), PROX_ELDERLYCARE = c(0.500148198332671,      0.500148198332671, 0.500148198332671, 0.542806768712765,      0.456899326246073, 0.456899326246073, 0.561119780492452,      0.561119780492452, 0.400468425457175, 0.933045885854195,      0.819477307137174, 0.565792923614884, 0.892136309268664,      0.296144426041885, 0.296144426041885, 0.586863575497558,      1.25793892145158, 0.825709875044437, 1.34637729166943, 1.20397588034421     ), PROX_HAWKER = c(0.55990768529081, 0.55990768529081, 0.55990768529081,      0.598096651463893, 0.507233229895407, 0.507233229895407,      0.631285601786086, 0.631285601786086, 0.498365875295267,      1.00938993481846, 0.922900854400271, 0.666841975849823, 0.816419857336687,      0.360513691606501, 0.360513691606501, 0.685044657792881,      1.33204585660377, 0.841716009165303, 1.41733367811242, 0.736691454978467     ), PROX_MRT = c(1.16124452414741, 1.16124452414741, 1.16124452414741,      1.20599959693509, 1.18009183772516, 1.18009183772516, 1.13344401626098,      1.13344401626098, 0.87869292375624, 1.29287496569192, 0.830609903675807,      0.463116738810145, 0.729175757939742, 0.937471590679814,      0.937471590679814, 0.418422993771755, 1.54554013822754, 0.463093751675267,      1.64690112478102, 1.05284557964442), PROX_PARK = c(0.959994438388966,      0.959994438388966, 0.959994438388966, 0.937816003807321,      1.02763138312455, 1.02763138312455, 0.872985599051717, 0.872985599051717,      0.9054780070858, 0.495314460898113, 0.751240825934154, 0.505224516024672,      0.830497330619545, 1.20981147430356, 1.20981147430356, 0.454841043819919,      0.23250554954982, 0.609424449579261, 0.243247600736397, 0.555889077383573     ), PROX_GOOD_PRISCH = c(6.64012383316355, 6.64012383316355,      6.64012383316355, 6.66937916554136, 6.57664814247058, 6.57664814247058,      6.72174636420399, 6.72174636420399, 6.57740517739392, 7.10206992983331,      6.95474206477502, 6.50789265243056, 6.97273607492461, 6.16175607197734,      6.16175607197734, 6.48254224033906, 7.41905192895776, 6.77374769998522,      7.49669975318446, 7.33264137396139), PROX_MALL = c(0.450738515511335,      0.450738515511335, 0.450738515511335, 0.484724019608978,      0.392080122681935, 0.392080122681935, 0.530342726071102,      0.530342726071102, 0.446026044391999, 0.790613232916467,      0.757845794253982, 0.353588302636786, 0.671391539314818,      0.571849863617429, 0.571849863617429, 0.306862579253759,      0.658794213245526, 0.404491618549369, 0.694568288644574,      0.387548928263219), PROX_CHAS = c(0.221318263528924, 0.221318263528924,      0.221318263528924, 0.270084445320348, 0.214971829128206,      0.214971829128206, 0.254413742194056, 0.254413742194056,      0.130380344727655, 0.40646651865696, 0.175468897673469, 0.171584438209325,      0.0497500971788425, 0.332465298200207, 0.332465298200207,      0.133156315003352, 0.166262674114357, 0.260153188296123,      0.119012364389208, 0.324283073315245), PROX_SUPERMARKET = c(0.449846933875903,      0.449846933875903, 0.449846933875903, 0.483753219919624,      0.391090025360665, 0.391090025360665, 0.529573977763673,      0.529573977763673, 0.445962312606475, 0.260900811674997,      0.336744227428862, 0.320581809168482, 0.442456788826315,      0.204374831829505, 0.204374831829505, 0.27639551573194, 0.385510043100507,      0.355873580059747, 0.485184742393951, 0.337417678694655),          WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 3L, 0L, 1L, 1L, 0L, 3L, 3L, 1L, 1L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          3L, 3L, 2L, 2L, 3L, 4L, 2L, 3L, 3L, 3L, 3L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 6L, 6L, 8L, 8L, 5L, 5L,          8L, 6L, 6L, 8L, 12L, 9L, 9L, 7L, 9L, 12L, 8L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 6L, 3L, 5L), DNeighbour = c(0, 5.21352316118519,          5.77644396622294, 49.3385862036312, 71.0587645057359,          71.8726695039573, 93.0607229723052, 94.9713505610853,          286.01015198296, 455.7604085019, 584.214555842779, 699.976906544673,          715.649697223015, 729.483058466237, 733.465264111996,          744.532297985364, 772.83935128673, 815.957500666466,          862.040542264273, 903.573226847342)), row.names = c("290",      "86", "280", "847", "507", "985", "925", "797", "889", "631",      "720", "991", "300", "497", "328", "530", "228", "535", "85",      "870"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999933417718498,      0.999918263593097, 0.99404572672035, 0.987669134760463, 0.987385943816895,      0.978897852752519, 0.978027323501033, 0.809653131858976,      0.55589369904141, 0.338677218362502, 0.159901124128608, 0.13890637970403,      0.12125436483993, 0.116335872653978, 0.103070509025972, 0.0720584102491269,      0.0340510567872115, 0.008067110487899, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2055666909 
R squared (OOB):                  0.2475735 

$Forests[[291]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(336000, 330000, 312000,      315000, 295000, 288000, 320000, 295000, 320000, 338000, 345000,      345000, 350000, 315000, 330000, 305000, 320000, 339000, 330000,      310000), floor_area_sqm = c(102, 103, 101, 103, 101, 84,      104, 84, 84, 102, 102, 102, 102, 102, 115, 99, 101, 102,      102, 91), storey_order = c(3L, 1L, 2L, 2L, 1L, 3L, 4L, 4L,      4L, 4L, 4L, 2L, 4L, 2L, 1L, 1L, 1L, 3L, 1L, 4L), remaining_lease_mths = c(916,      928, 933, 926, 917, 893, 893, 875, 885, 922, 926, 927, 923,      913, 898, 921, 924, 923, 911, 927), PROX_CBD = c(18.5506225538857,      18.5768909080638, 18.4625985868209, 18.5458637520931, 18.4986491838169,      18.3632948597919, 18.4249149071789, 18.4249149071789, 18.3433564216417,      18.1611534549189, 18.236688278315, 18.2868848905217, 18.0569924715364,      17.9994058772431, 18.4399301385868, 17.9733391318796, 18.0902268845521,      17.9456645257603, 18.2320763538069, 18.6571260927441), PROX_ELDERLYCARE = c(0.859723249528503,      0.912532633143698, 0.765079897684544, 0.890661700747245,      0.86418951980865, 0.645296274244347, 0.705240184131779, 0.705240184131779,      0.623669944895056, 0.519233937445895, 0.732088251039709,      0.896456720381782, 0.59750504274373, 0.430537495183344, 0.789710764787337,      0.376016337241346, 0.706169610995159, 0.476454782767532,      0.927534095024191, 1.27166470727688), PROX_HAWKER = c(0.958117298193611,      0.935860141611343, 0.906262708365532, 0.898999046399804,      0.838043969781633, 0.921741667576702, 1.0161652570538, 1.0161652570538,      0.960648791795978, 0.617364695979906, 0.537987121264097,      0.547085889030319, 0.391180253405874, 0.472244893923117,      1.26661829972954, 0.501520555884575, 0.370412154176866, 0.3648710200987,      0.493410913505403, 0.924657565926692), PROX_MRT = c(0.942174684471822,      0.912233851204259, 0.897303014326537, 0.87509641959225, 0.812751343363136,      0.927224403125457, 0.906393011935236, 0.906393011935236,      0.899458799363821, 0.623413162025338, 0.511061821383635,      0.495991449430539, 0.384524332485438, 0.492638498779759,      0.715824290886542, 0.52882455357406, 0.341202563029131, 0.385567417899789,      0.433316978327494, 0.861078471223358), PROX_PARK = c(1.32670572464855,      1.41172869826724, 1.31620863428189, 1.4387346144793, 1.49181484955502,      1.22890358268929, 1.13759587953072, 1.13759587953072, 1.17596756648915,      1.52418818882418, 1.7164330470264, 1.86697967968657, 1.77011013021076,      1.65421298847909, 0.859791414716402, 1.62685700377268, 1.8531048262974,      1.76180373116006, 1.96114614265628, 1.95136051888807), PROX_GOOD_PRISCH = c(9.12094588228633,      9.13217936844248, 9.04019528068803, 9.09837600782165, 9.04519470993137,      8.96505409295358, 9.03817471771729, 9.03817471771729, 8.95760590087653,      8.72758527833631, 8.76378557853615, 8.78822500750919, 8.58956131155308,      8.5589292690065, 9.10971468714541, 8.54142359534323, 8.60631027953587,      8.49089982759618, 8.72297519828522, 9.13456945987866), PROX_MALL = c(0.46921205797367,      0.390092702495136, 0.414588198127445, 0.359721010486642,      0.305101649121832, 0.282416841692855, 0.204519313237763,      0.204519313237763, 0.22079632378696, 0.475604736810637, 0.240339889961931,      0.1450338527091, 0.407254736414821, 0.446560923090423, 0.107021299056373,      0.395841490391381, 0.342860958869265, 0.428159644756295,      0.22704735136933, 0.300602441432182), PROX_CHAS = c(0.469212052170377,      0.390092699752756, 0.399223798550346, 0.359721009550721,      0.305101651313883, 0.231219576578415, 0.20451929737041, 0.20451929737041,      0.167893491583302, 0.405258493214775, 0.184864523484869,      0.0217240252323136, 0.222103720735081, 0.324811070171065,      0.107021320216693, 0.364030465322827, 0.209799590563819,      0.218909691095897, 0.11607611654581, 0.214120710257936),          PROX_SUPERMARKET = c(0.469212308573368, 0.390093045846372,          0.414588227521533, 0.359721304530864, 0.305101855713295,          0.282416494634945, 0.204519239868594, 0.204519239868594,          0.220795796105544, 0.475604214408431, 0.240339157209448,          0.145032957963293, 0.385535197909366, 0.408691343873882,          0.107021556198121, 0.356071330024396, 0.342860053820009,          0.365864675212809, 0.227046556279957, 0.214121714630789         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 6L, 5L, 6L, 8L,          7L, 7L, 8L, 5L, 6L, 7L, 4L, 4L, 4L, 3L, 6L, 3L, 5L, 3L         ), WITHIN_350M_BUS = c(8L, 9L, 8L, 9L, 9L, 8L, 9L, 9L,          8L, 10L, 7L, 9L, 9L, 9L, 7L, 11L, 7L, 8L, 10L, 8L), WITHIN_1KM_PRISCH = c(5L,          4L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 4L, 6L, 7L, 3L,          7L, 5L, 6L, 4L, 3L), DNeighbour = c(0, 93.5189127559414,          99.2673664157109, 116.677919552858, 162.579902891923,          261.078086296309, 275.960191257282, 281.620033553164,          324.278207375702, 394.395978168674, 440.724810147564,          551.09417446651, 566.678295280823, 566.956002620323,          572.364593780768, 581.845996766542, 603.844949690079,          644.652957003566, 647.616398451859, 659.381576154193)), row.names = c("291",      "828", "729", "576", "684", "864", "738", "265", "953", "330",      "227", "787", "491", "177", "247", "179", "74", "20", "443",      "761"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.960174137163882,      0.955185369025749, 0.93835742908836, 0.882108072448274, 0.711034235658436,      0.680371457218165, 0.66845008959062, 0.574778065015527, 0.412472686662541,      0.306089181043259, 0.0908909871701887, 0.0683386401420445,      0.0679605912220705, 0.0607719602079005, 0.0489956663882582,      0.0260359980632349, 0.00195143916291877, 0.00125083371374228,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       292628173 
R squared (OOB):                  0.0782295 

$Forests[[292]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 388000, 325000,      325000, 398000, 333000, 395000, 368000, 4e+05, 330000, 335000,      361000, 330000, 360000, 328000, 335000, 370000, 385000, 390000,      376000), floor_area_sqm = c(104, 100, 84, 85, 100, 84, 101,      100, 103, 84, 84, 84, 84, 103, 84, 93, 98, 101, 101, 101),          storey_order = c(2L, 4L, 5L, 1L, 2L, 3L, 4L, 2L, 3L,          3L, 2L, 4L, 4L, 1L, 4L, 5L, 2L, 3L, 4L, 2L), remaining_lease_mths = c(804,          922, 812, 830, 924, 823, 936, 923, 796, 791, 796, 794,          806, 798, 806, 921, 912, 952, 932, 948), PROX_CBD = c(10.0879656312395,          10.3133134299625, 9.87023127008802, 10.1989356004427,          10.2027088676681, 9.85122377146013, 10.5347600839054,          10.5911430304609, 10.2571858212528, 9.73525531751342,          10.2571858212528, 10.1908965186918, 9.63621863936401,          10.1540744969693, 10.2439629519707, 10.6321305837804,          10.6430674352334, 10.5394819073022, 10.247812625002,          10.1515839247586), PROX_ELDERLYCARE = c(1.31022889057949,          1.4124150938613, 1.35138892750767, 1.08623091115154,          1.63738856945076, 0.999223533815273, 1.31633228018286,          1.2745451415541, 0.969336561855173, 0.869795033999967,          0.969336561855173, 0.891997547710976, 1.48805339077067,          0.85844301108046, 0.904720646157319, 1.32435226249417,          1.10983952182968, 1.55101586165687, 1.89270432318243,          1.93850967877536), PROX_HAWKER = c(0.196699811405185,          0.0623262564011618, 0.410023469086153, 0.368744432216956,          0.264427923442986, 0.526313717816828, 0.259744380023822,          0.314632743063994, 0.543600998034675, 0.687117415591119,          0.543600998034675, 0.594526114354717, 0.677896697868769,          0.614574465644474, 0.616195579705155, 0.382898898882956,          0.494234864614673, 0.463304434183495, 0.561647681218514,          0.608980172673109), PROX_MRT = c(1.09046737609619, 1.09471398918577,          1.23646610314009, 0.78040997284139, 1.392302848886, 0.907717901248049,          1.15842683571226, 1.14211364891441, 0.5984056038899,          0.86810604264512, 0.5984056038899, 0.554399001312584,          1.32502198166586, 0.544743966599557, 0.52596302633555,          1.20430491709432, 0.91242151857363, 1.31136747445593,          1.63637339364314, 1.73271025710532), PROX_PARK = c(0.604882226694947,          0.826294351272671, 0.375073916060521, 0.808282577864154,          0.728383914708498, 0.510337594738446, 1.00657829367171,          0.997953552798557, 0.690393008756984, 0.452373350223662,          0.690393008756984, 0.61263038213259, 0.202594030185392,          0.578916018382343, 0.626908579085899, 0.852996238213812,          1.09293299728603, 0.594979546415276, 0.443665461164749,          0.464183104254495), PROX_GOOD_PRISCH = c(0.87937610392538,          0.993301788551023, 0.706117631385061, 1.199846441039,          0.689163418131917, 1.05242409875061, 1.12709017589061,          1.15731102426836, 1.38840710840139, 1.15234422615158,          1.38840710840139, 1.40421671412888, 0.53169554186008,          1.40445923276907, 1.44855804010835, 1.09467860924251,          1.4206810513637, 0.89296386953394, 0.550324531917386,          0.447003801568155), PROX_MALL = c(0.441232897113797,          0.450275200033962, 0.445899708163642, 0.663851500718272,          0.12742430838485, 0.756051767526383, 0.464767570965945,          0.441630162720786, 0.638527944164543, 0.907839978504126,          0.638527944164543, 0.685823836221668, 0.564979440463645,          0.685950169481642, 0.644656189163291, 0.512358501951296,          0.220538248250442, 0.357726596913911, 0.190941194230935,          0.217974225134877), PROX_CHAS = c(0.177420148260447,          0.071192987667569, 0.0764125853219005, 0.0710453772718398,          0.127424254451578, 3.39583191183935e-08, 0.272565000598528,          0.327465416824022, 0.0819899420632749, 0.116614388177292,          0.0819899420632749, 0.151788880767358, 0.204909081807225,          0.170954716034814, 0.155315138624813, 0.394471723674887,          0.0703959269798554, 0.263233285458842, 0.190941257524933,          0.217974279370684), PROX_SUPERMARKET = c(0.320748009942088,          0.330151298165832, 0.158655939798418, 0.00115080458448496,          0.129189539659537, 0.350225948243757, 0.464768447350912,          0.441631117888638, 0.123486578338512, 0.458729641056945,          0.123486578338512, 0.152401712794372, 0.145410708854306,          0.171715993026927, 0.18505229065347, 0.447614574279886,          0.220538485726081, 0.263232243208913, 0.19229406714866,          0.216455869736569), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L,          2L, 0L, 2L, 3L, 1L), WITHIN_350M_CHILDCARE = c(5L, 4L,          5L, 4L, 6L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 1L, 3L,          2L, 6L, 10L, 9L), WITHIN_350M_BUS = c(11L, 15L, 8L, 12L,          13L, 10L, 15L, 13L, 10L, 10L, 10L, 12L, 7L, 14L, 10L,          12L, 13L, 15L, 10L, 10L), WITHIN_1KM_PRISCH = c(5L, 4L,          5L, 4L, 4L, 4L, 4L, 4L, 5L, 4L, 5L, 6L, 3L, 5L, 6L, 4L,          6L, 4L, 4L, 4L), DNeighbour = c(0, 225.482326018274,          243.726064452534, 316.86255690857, 326.959796053487,          345.58043480652, 441.975007384652, 501.104277246861,          504.118432669844, 506.905033340825, 511.472198655355,          534.04643683439, 534.414470149966, 542.663493858308,          573.819557931964, 578.398392977493, 606.770446670421,          625.019627343322, 632.038189641011, 648.512149812394)), row.names = c("292",      "513", "755", "967", "771", "129", "577", "718", "494", "921",      "591", "447", "189", "560", "668", "975", "627", "769", "667",      "366"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.772835174686461,      0.737463146958158, 0.579533173853804, 0.556237783328136,      0.512708700919813, 0.286790638283575, 0.162358417884837,      0.156604559502256, 0.151347529057676, 0.142865110441663,      0.103591399268729, 0.102990405306694, 0.0898772627087632,      0.0471260182916979, 0.0418369296743876, 0.0155221143265319,      0.00506065120930366, 0.00251603609208145, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       530120112 
R squared (OOB):                  0.2931137 

$Forests[[293]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(318000, 313000, 315000,      327000, 320000, 275000, 302500, 358000, 402000, 355000, 310000,      370000, 340000, 355000, 315000, 315000, 418000, 308000, 310000,      387008), floor_area_sqm = c(84, 84, 104, 84, 93, 84, 93,      91, 93, 104, 96, 93, 91, 93, 91, 97, 104, 84, 84, 97), storey_order = c(1L,      4L, 4L, 1L, 3L, 1L, 2L, 1L, 4L, 4L, 1L, 1L, 2L, 4L, 3L, 3L,      1L, 1L, 2L, 2L), remaining_lease_mths = c(785, 772, 777,      802, 762, 807, 764, 760, 762, 814, 772, 782, 782, 761, 774,      746, 794, 779, 787, 775), PROX_CBD = c(15.4237712873611,      15.5029529482698, 15.5029529482698, 15.395293903354, 15.7384939989151,      15.555826242216, 15.7384939989151, 15.6053010835868, 15.8715793299193,      14.9797222810306, 16.0124832316584, 15.9422949327985, 16.0688727275577,      16.1297617902268, 16.1626205207603, 16.179026897848, 14.6249352309891,      14.8104288104214, 14.7686155241139, 15.8742411347238), PROX_ELDERLYCARE = c(1.66429806880172,      1.60634233373903, 1.60634233373903, 1.48326161455178, 1.81389464514152,      1.98144426857027, 1.81389464514152, 1.18278326755006, 1.28212929908789,      1.40865121451131, 1.41328722649904, 1.09392979000114, 1.20623153653763,      1.29938230642316, 1.55788424655444, 1.73064849730919, 1.66362706878828,      1.14385816982861, 1.18091019396193, 0.784609866943175), PROX_HAWKER = c(0.663653920640621,      0.592613874358246, 0.592613874358246, 0.763118949388798,      0.367446283592148, 0.587918588004233, 0.367446283592148,      0.745618024005524, 0.428166805124, 1.17708155532767, 0.231474226543029,      0.571238530927929, 0.426544691499688, 0.335840869363962,      0.113648031708615, 0.141690035201285, 1.46189875323845, 1.03493347869974,      1.07995965555937, 0.921851461637316), PROX_MRT = c(0.641519249244255,      0.579811001445256, 0.579811001445256, 0.486709870425329,      0.817431272071058, 0.961984472446029, 0.817431272071058,      0.180817781363956, 0.326170963259121, 0.541117453484526,      0.526610558032509, 0.22642613478059, 0.406145228037129, 0.514969181151661,      0.733071345608223, 0.887672461516919, 0.177135615746217,      0.547659244513397, 0.495669019430354, 0.243577544220952),          PROX_PARK = c(0.527546900647844, 0.518465718930498, 0.518465718930498,          0.736647900507106, 0.197322246351151, 0.155244626205508,          0.197322246351151, 0.580682002012541, 0.729541055973412,          0.869949400509587, 0.641040622161513, 0.749126986336644,          0.697314652170583, 0.709135847201637, 0.622244080025509,          0.539742315344257, 0.967683324465338, 0.79060261488636,          0.837021679605882, 0.457440234531046), PROX_GOOD_PRISCH = c(5.79932453842233,          5.8805780078001, 5.8805780078001, 5.79164197089728, 6.09593783675615,          5.90755023148013, 6.09593783675615, 6.02648848177283,          6.26806838260706, 5.38873705701154, 6.39414010271149,          6.35759010380229, 6.46919552361138, 6.52049985370614,          6.53246509089368, 6.53838177865997, 5.00900650468442,          5.2589313064801, 5.21242267662931, 6.33578781760894),          PROX_MALL = c(0.726704111983395, 0.667352945771092, 0.667352945771092,          0.561468969675593, 0.906877360376741, 1.05229171505891,          0.906877360376741, 0.252610517585887, 0.405953132327172,          0.857174016474006, 0.598952481573277, 0.275355858531219,          0.45653839484425, 0.568960814514176, 0.800586392071248,          0.960112961135972, 1.02277508016934, 0.641907311269237,          0.644074766251318, 0.159478773824134), PROX_CHAS = c(0.11942955396425,          0.128101303359069, 0.128101303359069, 0.1019571402223,          0.184740133551779, 0.0651877268759985, 0.184740133551779,          0.0925674017483885, 0.170717118999449, 0.0593781975043205,          0.191204296760245, 0.101928728560798, 0.123235071398074,          0.215228497760129, 0.107377285719627, 0.0821179618758864,          0.253202817693943, 0.273160540123658, 0.305551557127515,          0.159478805927642), PROX_SUPERMARKET = c(0.307102160965552,          0.314517101025506, 0.314517101025506, 0.0953919744611677,          0.287892528450529, 0.511049564140858, 0.287892528450529,          0.188530812320699, 0.323117190327721, 0.101389584423307,          0.214004200599592, 0.218983947734938, 0.399183655269817,          0.353026966783941, 0.191669323632479, 0.224545288466622,          0.177136085505812, 0.406551385550075, 0.397697747354111,          0.159478664733051), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 3L, 1L, 3L, 1L, 1L, 0L, 3L, 1L, 1L, 1L, 3L,          3L, 1L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 2L,          2L, 2L, 7L, 6L, 7L, 5L, 2L, 3L, 4L, 2L, 3L, 3L, 5L, 3L,          1L, 2L, 3L, 5L), WITHIN_350M_BUS = c(11L, 10L, 10L, 9L,          10L, 7L, 10L, 10L, 8L, 10L, 8L, 8L, 9L, 8L, 9L, 8L, 9L,          7L, 8L, 8L), WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 4L, 3L,          1L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 2L, 4L, 3L,          6L), DNeighbour = c(0, 80.6274456302515, 82.0244792790425,          217.99082583583, 404.930732357807, 409.014576831191,          410.202127082575, 478.29171898099, 509.829627001016,          538.919350136758, 594.410600848426, 664.270064224632,          704.861139409661, 726.108145922292, 742.15955194718,          785.189714602218, 801.655586000165, 836.422828573415,          841.951110725957, 883.003738094265)), row.names = c("293",      "587", "162", "556", "803", "426", "437", "143", "294", "984",      "740", "708", "804", "184", "335", "336", "30", "396", "101",      "83"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.983394328440162,      0.982816404062488, 0.881820796173932, 0.623628291866885,      0.616913100836762, 0.614954605208687, 0.499283054368053,      0.444397051590776, 0.393760347419036, 0.29903804835496, 0.188414998468506,      0.131617150250292, 0.104844053051155, 0.0861830159833717,      0.0437970544688404, 0.0308936623339108, 0.0105519573024196,      0.00824873230009738, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       961741975 
R squared (OOB):                  0.2848091 

$Forests[[294]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(402000, 370000, 340000,      310000, 355000, 358000, 315000, 315000, 313000, 327000, 318000,      387008, 310000, 320000, 302500, 416000, 315000, 320800, 310000,      350000), floor_area_sqm = c(93, 93, 91, 96, 93, 91, 91, 104,      84, 84, 84, 97, 91, 93, 93, 98, 97, 92, 84, 91), storey_order = c(4L,      1L, 2L, 1L, 4L, 1L, 3L, 4L, 4L, 1L, 1L, 2L, 3L, 3L, 2L, 4L,      3L, 1L, 3L, 1L), remaining_lease_mths = c(762, 782, 782,      772, 761, 760, 774, 777, 772, 802, 785, 775, 774, 762, 764,      779, 746, 965, 806, 957), PROX_CBD = c(15.8715793299193,      15.9422949327985, 16.0688727275577, 16.0124832316584, 16.1297617902268,      15.6053010835868, 16.1626205207603, 15.5029529482698, 15.5029529482698,      15.395293903354, 15.4237712873611, 15.8742411347238, 16.3680873997092,      15.7384939989151, 15.7384939989151, 16.1674221276903, 16.179026897848,      16.3149444157129, 16.5546706157429, 16.4034806336055), PROX_ELDERLYCARE = c(1.28212929908789,      1.09392979000114, 1.20623153653763, 1.41328722649904, 1.29938230642316,      1.18278326755006, 1.55788424655444, 1.60634233373903, 1.60634233373903,      1.48326161455178, 1.66429806880172, 0.784609866943175, 1.42545230549203,      1.81389464514152, 1.81389464514152, 0.762025473923165, 1.73064849730919,      1.76400828031834, 1.28388145020366, 0.839978570407226), PROX_HAWKER = c(0.428166805124,      0.571238530927929, 0.426544691499688, 0.231474226543029,      0.335840869363962, 0.745618024005524, 0.113648031708615,      0.592613874358246, 0.592613874358246, 0.763118949388798,      0.663653920640621, 0.921851461637316, 0.369132496020862,      0.367446283592148, 0.367446283592148, 0.872582424517839,      0.141690035201285, 0.267171899978326, 0.634516033073404,      0.889236545198411), PROX_MRT = c(0.326170963259121, 0.22642613478059,      0.406145228037129, 0.526610558032509, 0.514969181151661,      0.180817781363956, 0.733071345608223, 0.579811001445256,      0.579811001445256, 0.486709870425329, 0.641519249244255,      0.243577544220952, 0.767751604782153, 0.817431272071058,      0.817431272071058, 0.447065767326062, 0.887672461516919,      0.980548762507945, 0.786543604226707, 0.660139833101166),          PROX_PARK = c(0.729541055973412, 0.749126986336644, 0.697314652170583,          0.641040622161513, 0.709135847201637, 0.580682002012541,          0.622244080025509, 0.518465718930498, 0.518465718930498,          0.736647900507106, 0.527546900647844, 0.457440234531046,          0.655349613079545, 0.197322246351151, 0.197322246351151,          0.490935310554108, 0.539742315344257, 0.504828773517413,          0.413578796610442, 0.251028276822116), PROX_GOOD_PRISCH = c(6.26806838260706,          6.35759010380229, 6.46919552361138, 6.39414010271149,          6.52049985370614, 6.02648848177283, 6.53246509089368,          5.8805780078001, 5.8805780078001, 5.79164197089728, 5.79932453842233,          6.33578781760894, 6.74866006620563, 6.09593783675615,          6.09593783675615, 6.62018800412964, 6.53838177865997,          6.672975925328, 6.95112153433386, 6.84769610957781),          PROX_MALL = c(0.405953132327172, 0.275355858531219, 0.45653839484425,          0.598952481573277, 0.568960814514176, 0.252610517585887,          0.800586392071248, 0.667352945771092, 0.667352945771092,          0.561468969675593, 0.726704111983395, 0.159478773824134,          0.812249060303789, 0.906877360376741, 0.906877360376741,          0.402318259451987, 0.960112961135972, 0.965701391482886,          0.809678350084408, 0.630333401213655), PROX_CHAS = c(0.170717118999449,          0.101928728560798, 0.123235071398074, 0.191204296760245,          0.215228497760129, 0.0925674017483885, 0.107377285719627,          0.128101303359069, 0.128101303359069, 0.1019571402223,          0.11942955396425, 0.159478805927642, 0.317481852326526,          0.184740133551779, 0.184740133551779, 0.277543603442508,          0.0821179618758864, 0.215258950862385, 0.102023856475547,          0.142060383584178), PROX_SUPERMARKET = c(0.323117190327721,          0.218983947734938, 0.399183655269817, 0.214004200599592,          0.353026966783941, 0.188530812320699, 0.191669323632479,          0.314517101025506, 0.314517101025506, 0.0953919744611677,          0.307102160965552, 0.159478664733051, 0.442251956603444,          0.287892528450529, 0.287892528450529, 0.277543419111335,          0.224545288466622, 0.357579925001748, 0.57240719914765,          0.142061131074292), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 0L, 1L, 3L, 3L,          1L, 3L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(2L, 2L,          3L, 4L, 3L, 5L, 5L, 2L, 2L, 2L, 3L, 5L, 2L, 7L, 7L, 3L,          3L, 1L, 2L, 3L), WITHIN_350M_BUS = c(8L, 8L, 9L, 8L,          8L, 10L, 9L, 10L, 10L, 9L, 11L, 8L, 8L, 10L, 10L, 6L,          8L, 8L, 10L, 7L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 4L, 4L, 3L, 3L, 4L, 4L, 6L, 4L, 3L, 3L, 5L, 3L, 3L,          5L, 4L), DNeighbour = c(0, 184.779762504604, 200.459646615723,          212.565564327369, 258.68974542692, 330.345657788806,          425.597628893568, 429.338082347888, 430.644615330824,          476.81591203354, 509.829627001016, 519.923938256912,          525.38253400169, 537.553892057232, 539.42511959314, 564.387497243476,          568.286058287068, 665.839068883456, 680.445941138287,          685.455446339983)), row.names = c("294", "708", "804",      "740", "184", "143", "335", "162", "587", "556", "293", "83",      "198", "803", "437", "351", "336", "980", "22", "206"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.85994242287051, 0.836263670220612, 0.816913575921168, 0.735427154494986,      0.58942115968037, 0.377593281662822, 0.369275078096131, 0.366374388585787,      0.266373707092672, 0.199619421599268, 0.180339946509906,      0.170173071253055, 0.148213613700691, 0.144929460716624,      0.103717569288388, 0.0977523943755703, 0.00318288334105663,      0.000212085721103637, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       529730734 
R squared (OOB):                  0.5298157 

$Forests[[295]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(372500, 348000, 450000,      420000, 452000, 433000, 380000, 490000, 378888, 330000, 376000,      475000, 475000, 505000, 558000, 415000, 540000, 525000, 5e+05,      505000), floor_area_sqm = c(102, 100, 95, 93, 95, 92, 92,      92, 90, 91, 102, 93, 90, 90, 92, 92, 92, 95, 92, 92), storey_order = c(2L,      3L, 2L, 2L, 4L, 4L, 1L, 3L, 6L, 3L, 5L, 4L, 5L, 6L, 6L, 2L,      6L, 5L, 3L, 4L), remaining_lease_mths = c(931, 938, 1109,      1099, 1112, 1084, 1037, 1038, 949, 951, 944, 1130, 1031,      1033, 1136, 1130, 1142, 1141, 1049, 1051), PROX_CBD = c(11.9627383543319,      11.8646943012694, 12.0901026943072, 11.8999896789117, 12.1424265739316,      11.8702915361943, 11.6419253241709, 11.6213283462416, 12.4403773011877,      12.402570085049, 11.9885535057438, 11.4536743231806, 11.780035597066,      11.6571985599938, 11.665784828589, 11.3687765497058, 11.3687765497058,      11.6190928108465, 11.4975151935682, 11.4388659085475), PROX_ELDERLYCARE = c(0.96089261866182,      0.893707553155367, 0.911165280518988, 0.790393757138983,      0.88680281476439, 0.670900780040593, 0.626216066088841, 0.621923465733728,      0.624054710630084, 0.628872951670854, 0.468647269590137,      1.19895989384568, 0.389019901488026, 0.400746835300904, 1.35367167055226,      1.27208236570677, 1.27208236570677, 1.40356458884146, 0.485429735975203,      0.529438756707198), PROX_HAWKER = c(0.983415578941634, 0.888626336009462,      0.995330006841388, 0.820501997631561, 0.999275592501037,      0.715369360111721, 0.553081930127745, 0.537052085835962,      1.46996215979098, 1.50745216628998, 0.661637750611862, 1.02903329925728,      0.475091880549249, 0.38372613736418, 1.3549106116919, 1.07923254025891,      1.07923254025891, 1.37423229702662, 0.320302217757218, 0.319632581294072     ), PROX_MRT = c(0.122900516984256, 0.214047355776769, 0.231980634651484,      0.261250382411254, 0.303530488733859, 0.146531371307633,      0.168432978085695, 0.182944945438028, 0.140157494228817,      0.198968515523371, 0.253577460439113, 0.573574303209013,      0.149757666469573, 0.187661086924798, 0.561684506891731,      0.671331594421278, 0.671331594421278, 0.615423035680267,      0.24936700359253, 0.264110896255266), PROX_PARK = c(0.836149627657164,      0.747986195716587, 0.750469455971567, 0.813614799778521,      0.699596772952975, 0.8322137924942, 0.654970873229416, 0.643411448820926,      0.525489875872169, 0.61879465488716, 0.965214735166117, 0.341254943367627,      0.915827670442916, 0.822874314333037, 0.671016599957339,      0.294690087030438, 0.294690087030438, 0.654992910383756,      0.698336840868775, 0.653351036954048), PROX_GOOD_PRISCH = c(3.15511978010431,      3.05097986431403, 3.19167768034691, 3.00567179865442, 3.20088339163048,      2.91053685401804, 2.71543842399088, 2.69528593883292, 3.6640626331803,      3.69141799128789, 2.84793008582659, 2.96812409551872, 2.67648686403773,      2.58492752090912, 3.32537175969635, 2.95589454100459, 2.95589454100459,      3.31796907605439, 2.48345794754568, 2.45055199705462), PROX_MALL = c(0.161680393170103,      0.265637621954407, 0.1200910408013, 0.283076960540796, 0.171446483339376,      0.385092319171944, 0.576398809288588, 0.597386337892971,      0.37643645467035, 0.407881748949563, 0.581599658792334, 0.714729745574342,      0.657761426948524, 0.718523422751835, 0.714662485508778,      0.814743407183115, 0.814743407183115, 0.768943294332632,      0.805279144871904, 0.840491697823826), PROX_CHAS = c(0.161680400961643,      0.265637621677666, 0.120090990225825, 0.283076936045466,      0.171446425970546, 0.179381733260264, 0.118628580179885,      0.130352204164602, 0.376436475429729, 0.407881782403473,      0.0548782345589675, 0.31407050179696, 0.165734916528407,      0.162236141473446, 0.167944095298073, 0.257507761616553,      0.257507761616553, 0.119929951445322, 0.18789773503711, 0.210772889992189     ), PROX_SUPERMARKET = c(0.107037284539066, 0.211091622880127,      0.109512866312649, 0.236972988988714, 0.178201527122821,      0.31749021679057, 0.0879874709963817, 0.0679201472407272,      0.426522673463594, 0.451295114828249, 0.41771106664497, 0.345653574215055,      0.328761363845442, 0.248678179468178, 0.215917356790886,      0.30094246041235, 0.30094246041235, 0.16327623873727, 0.186124684843571,      0.189609627596398), WITHIN_350M_KINDERGARTEN = c(0L, 0L,      0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L,      0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(8L, 7L, 8L, 7L, 7L,      9L, 6L, 6L, 4L, 3L, 6L, 2L, 9L, 8L, 1L, 3L, 3L, 2L, 4L, 4L     ), WITHIN_350M_BUS = c(9L, 8L, 8L, 9L, 9L, 10L, 8L, 8L, 11L,      9L, 14L, 8L, 8L, 9L, 4L, 10L, 10L, 3L, 8L, 7L), WITHIN_1KM_PRISCH = c(4L,      5L, 4L, 5L, 5L, 5L, 5L, 6L, 4L, 4L, 7L, 4L, 6L, 5L, 2L, 3L,      3L, 2L, 4L, 5L), DNeighbour = c(0, 110.929765875516, 165.015926315055,      174.582713986935, 237.686002613331, 292.324841814071, 445.442463012864,      461.086961668187, 516.395736249422, 530.736278358048, 552.61975539927,      574.071008183003, 579.652813080947, 612.015537118735, 631.620365435791,      667.062575645804, 673.73992952473, 676.773126568713, 684.496209566303,      709.508618380466)), row.names = c("295", "232", "117", "185",      "147", "110", "421", "89", "444", "80", "486", "132", "263",      "977", "830", "157", "876", "160", "553", "271"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.9517085682858, 0.894741158979334, 0.88257337957259, 0.788143418701801,      0.689310964921032, 0.367047240879504, 0.333704425868533,      0.221159177369489, 0.193992458222057, 0.154725035397259,      0.119259639905458, 0.110587654488913, 0.0655038918210911,      0.0430580463770527, 0.0134722789907984, 0.00965997020547949,      0.0081266217848194, 0.00479743270819739, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3399142461 
R squared (OOB):                  0.2419197 

$Forests[[296]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 388000, 440000,      375000, 370000, 370000, 340000, 446000, 390000, 420000, 365000,      420000, 347000, 415000, 315000, 365000, 308000, 358888, 360000,      355000), floor_area_sqm = c(102, 103, 103, 92, 104, 98, 104,      107, 104, 90, 103, 99, 103, 100, 84, 107, 84, 91, 103, 103     ), storey_order = c(2L, 3L, 2L, 2L, 2L, 2L, 1L, 3L, 1L, 2L,      4L, 3L, 3L, 1L, 3L, 1L, 1L, 3L, 1L, 3L), remaining_lease_mths = c(938,      935, 918, 938, 763, 767, 772, 783, 763, 925, 768, 929, 777,      944, 788, 766, 795, 763, 777, 793), PROX_CBD = c(12.4172252614445,      12.2384019056968, 12.1964782349865, 12.0748651503812, 13.075732494377,      12.6407298816561, 13.1145091682395, 13.1163383572019, 13.1145091682395,      12.960867808991, 12.6612960596841, 13.2222340992065, 12.4516179583977,      13.1525533734461, 13.0463978034086, 13.578535689825, 13.3304860768802,      13.6826822978472, 13.7231688188033, 13.46147060752), PROX_ELDERLYCARE = c(0.466477120293287,      0.481492260541915, 0.395535007521183, 0.485644504612505,      0.206309775801723, 0.198383641986835, 0.233566729538939,      0.258125844069092, 0.233566729538939, 0.579007844644764,      0.349885373003571, 0.385934705647939, 0.517665393733001,      0.640770029240432, 0.612412426395362, 0.535215785060316,      0.85382998667073, 0.000158780971194199, 0.681177733621966,      1.01995663096129), PROX_HAWKER = c(1.89270186421095, 2.08679181031876,      2.11269605893479, 1.97379568283644, 1.2806114078583, 1.70233840124208,      1.24018164124527, 1.23349193679857, 1.24018164124527, 1.16344345150942,      1.71720286170745, 1.08380419022874, 1.97187302693261, 0.959649545299011,      1.36023111372333, 0.775756145922257, 1.09459947163448, 0.699744847940348,      0.601426993813282, 1.03983060555389), PROX_MRT = c(0.847625669994717,      1.00400763232319, 1.03396693725809, 1.16171233055988, 0.218393806785847,      0.712674611555213, 0.402767024758649, 0.166998983475289,      0.402767024758649, 0.899387073359532, 0.798149237832703,      0.503688459146237, 1.07246547116041, 0.944408516927639, 0.622051877914657,      0.357978123578611, 0.525688124362732, 0.751023886560838,      0.498221170198522, 0.367668143276235), PROX_PARK = c(0.790049777369869,      0.617440020241687, 0.631382355736929, 0.570565135790359,      1.31516124688894, 0.87239282209614, 1.4917670023494, 1.28385310080255,      1.4917670023494, 1.44660566239193, 0.722272593032778, 1.61082819122054,      0.540079114132334, 1.65277848527316, 0.572775970192077, 1.33984402369384,      0.620743454357064, 1.77145949687945, 1.26781451063295, 0.582693033366388     ), PROX_GOOD_PRISCH = c(2.44639044951476, 2.2532718981807,      2.16851203086393, 2.03318600563725, 3.06740437701091, 2.56532775368338,      3.15473759747012, 3.10133739012884, 3.15473759747012, 2.82458087567675,      2.58047246486208, 3.2388029474634, 2.37408427308534, 2.95137840528657,      2.96540091825049, 3.55013641033528, 3.24954726475941, 3.58938982364218,      3.673854441535, 3.38131302543864), PROX_MALL = c(0.95273084922996,      1.10261213560447, 1.12036230953297, 1.24268779707958, 0.332903613799786,      0.751522975449472, 0.504156272689578, 0.281310431650798,      0.504156272689578, 0.695129776671669, 0.817237002784756,      0.587950861513872, 1.09246464633101, 0.703422933264244, 0.587476612974174,      0.305514521023982, 0.513372166694422, 0.770100764029299,      0.406890039239853, 0.644549177151603), PROX_CHAS = c(0.132703338642494,      0.187666753228527, 0.194956542036987, 0.0669716337617594,      0.122328851042638, 0.217156748290024, 0.11048408202451, 0.155371621529032,      0.11048408202451, 0.341366062526918, 0.248450831201433, 0.151225190585885,      0.137011223676854, 0.1365287941905, 0.40513819943783, 0.282171570268124,      0.472814153962233, 0.110149755252424, 0.176857487498571,      0.348399033159575), PROX_SUPERMARKET = c(0.453312253927337,      0.388917381074845, 0.242376621204914, 0.301394789473075,      0.193246634773484, 0.217156859083098, 0.362446168440829,      0.141466460051892, 0.362446168440829, 0.668273194253219,      0.326739034058403, 0.459946280432931, 0.417679622168911,      0.688592108834651, 0.599997973636583, 0.281417393052806,      0.510727353781082, 0.11210687568128, 0.270532795629183, 0.356146193343619     ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 0L, 2L, 0L,      0L, 0L, 0L, 2L, 0L, 1L, 0L, 2L, 1L, 1L, 2L, 0L, 1L), WITHIN_350M_CHILDCARE = c(3L,      2L, 4L, 2L, 4L, 4L, 6L, 4L, 6L, 1L, 3L, 5L, 3L, 2L, 2L, 4L,      4L, 3L, 4L, 3L), WITHIN_350M_BUS = c(9L, 10L, 9L, 9L, 10L,      10L, 7L, 9L, 7L, 2L, 12L, 8L, 9L, 6L, 7L, 10L, 5L, 9L, 8L,      6L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,      3L, 3L, 3L, 4L, 3L, 2L, 4L, 4L, 3L, 2L, 3L, 3L), DNeighbour = c(0,      202.688322711145, 353.121499555459, 496.894609000652, 656.614915745217,      665.569445451472, 702.41047660101, 706.375547687508, 707.813853257144,      800.293800117823, 809.692280482263, 833.695302038572, 943.515866979167,      991.69413374582, 1021.46473203607, 1165.94065992524, 1215.98544572491,      1306.45758280541, 1334.68948995479, 1386.01011745441)), row.names = c("296",      "399", "677", "721", "929", "477", "844", "105", "164", "831",      "552", "350", "851", "496", "987", "856", "61", "1000", "960",      "332"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.957685833819729,      0.874392215170687, 0.759464468485163, 0.601502590553315,      0.591980732209315, 0.552298653060944, 0.547985153724211,      0.546418656520515, 0.444355039721849, 0.433915808419688,      0.407285049794992, 0.287928583282824, 0.238198394475737,      0.208718586924721, 0.0854670138908161, 0.0530360768673702,      0.0124320699454672, 0.00528298650874985, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1831635535 
R squared (OOB):                  -0.3118269 

$Forests[[297]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(715000, 662000, 680000,      675000, 550000, 710000, 672000, 660000, 440000, 340000, 4e+05,      363000, 358000, 345000, 575000, 390000, 430000, 370000, 355000,      430000), floor_area_sqm = c(95, 95, 95, 95, 102, 93, 85,      85, 91, 84, 104, 84, 84, 84, 101, 84, 104, 84, 84, 92), storey_order = c(6L,      3L, 4L, 2L, 3L, 6L, 5L, 3L, 5L, 1L, 2L, 4L, 3L, 1L, 6L, 1L,      2L, 3L, 3L, 2L), remaining_lease_mths = c(1099, 1093, 1084,      1093, 761, 1084, 1042, 1032, 669, 780, 783, 780, 770, 789,      932, 783, 781, 777, 782, 687), PROX_CBD = c(6.06656257116635,      6.11286474740545, 6.04001281876484, 6.15852201326599, 6.04257091454572,      6.17931132662417, 6.58265946872266, 6.62545736407856, 6.95185067667089,      6.73119135364588, 6.8579883001408, 6.82164733234375, 6.82164733234375,      7.23308787648785, 5.56255806753875, 4.91139217141794, 7.27303659463988,      7.32999369210923, 7.37752466520609, 5.17330173892321), PROX_ELDERLYCARE = c(0.516985202466339,      0.471592353212743, 0.545921172841312, 0.428116600598184,      0.548656319889636, 0.411122241220865, 0.129826558983194,      0.121758896932011, 0.368543492371998, 0.709869492714774,      0.650979480304367, 0.729511559050305, 0.729511559050305,      0.804640181087392, 0.0599829320550621, 0.53976690699019,      0.949520652768775, 1.04617467786566, 1.11141904944431, 0.151830290872251     ), PROX_HAWKER = c(0.0900485470251793, 0.0855319563513606,      0.0606577495598573, 0.104458461300263, 0.19523132016882,      0.114709112077857, 0.37361464573735, 0.33268573973532, 0.163396016993116,      0.84617550022745, 0.732876252375814, 0.834207881424508, 0.834207881424508,      0.727393295990439, 0.248163252655802, 0.526793317066312,      0.905159668549179, 1.00458194418859, 1.06790139631185, 0.261285820740611     ), PROX_MRT = c(0.530436532640755, 0.576684647572531, 0.53617676606472,      0.567634817298681, 0.448203274012385, 0.54480998513683, 0.288098631383321,      0.255638745600017, 0.258776848421036, 0.447149108468339,      0.479854345281657, 0.401668294921849, 0.401668294921849,      0.626719191507479, 0.389634730949481, 0.348715950460643,      0.477339162120678, 0.446590670593176, 0.450606800129455,      0.568944969773001), PROX_PARK = c(0.548254609843109, 0.517760851715104,      0.524571131123829, 0.487498062645995, 0.651264615899835,      0.461766774013401, 0.734858817801552, 0.741691321664553,      0.871860056746433, 1.30601230217613, 1.26891760289394, 1.33915084667526,      1.33915084667526, 1.17683143601381, 0.136342453682232, 0.454973393404149,      1.28136359713013, 1.30043300411079, 1.30417314517193, 0.375618223612072     ), PROX_GOOD_PRISCH = c(2.03651743937875, 2.00772186702724,      2.00925132829891, 1.97696478280336, 2.14268529299874, 1.95037752635058,      2.10026546945211, 2.08436883673306, 1.99104033276262, 2.67147237000904,      2.57894825178105, 2.67483404440455, 2.67483404440455, 2.53413597667736,      3.30515733544794, 3.07957394860643, 2.72285479219865, 2.81856751915823,      2.87682745937193, 3.5160560831601), PROX_MALL = c(0.365617038961166,      0.403935094648282, 0.387042201482337, 0.446404896609829,      0.264532440460292, 0.476611693189829, 0.712222885156031,      0.757747380414752, 1.10491400246256, 0.894914409230097, 0.985446043286547,      0.977306285381771, 0.977306285381771, 1.33824767405872, 0.719385659919303,      0.779372162435287, 1.40144317349524, 1.4733570331857, 1.52964479685301,      0.96360119165526), PROX_CHAS = c(0.0929349198733403, 0.0679258481743644,      0.134421273847083, 0.0766942583569258, 0.12619956254809,      0.10259225576309, 0.19769969897302, 0.152169077912936, 0.197049444171332,      0.468632365618207, 0.418063314797021, 0.389404577789016,      0.389404577789016, 0.335243362149438, 0.174009235365936,      0.297280152993809, 0.150676124399865, 0.100781853121145,      0.123680988169118, 0.213267381067323), PROX_SUPERMARKET = c(0.0785030623714358,      0.0895469396191502, 0.0393286469640316, 0.11965836137487,      0.178930757423705, 0.134806953278168, 0.255985378039003,      0.21094349839638, 0.145490551360364, 0.541263540151477, 0.471666412940503,      0.457775852816324, 0.457775852816324, 0.400791637001426,      0.173881454941229, 0.212061147632098, 0.216512452964216,      0.154588063793208, 0.15284622075069, 0.266791583668656),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 1L,          0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 3L, 4L, 3L,          0L, 0L, 3L, 2L, 1L, 1L, 1L, 2L, 4L, 2L, 4L, 4L, 5L, 4L         ), WITHIN_350M_BUS = c(8L, 6L, 8L, 6L, 7L, 6L, 2L, 2L,          4L, 4L, 3L, 4L, 4L, 4L, 2L, 7L, 7L, 8L, 9L, 4L), WITHIN_1KM_PRISCH = c(1L,          1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L,          2L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 39.1540861919138,          42.8206571424858, 94.7119416728736, 110.996228401513,          124.182143842649, 532.250664587988, 564.438110862062,          880.935005973329, 950.362217766728, 977.968559275337,          1016.13298905306, 1016.40325976916, 1252.66439055383,          1293.72575079814, 1322.05783260888, 1359.74483312373,          1453.48252782894, 1518.06509298814, 1562.44663570906)), row.names = c("297",      "536", "930", "23", "453", "756", "388", "841", "492", "529",      "168", "322", "46", "171", "596", "251", "611", "187", "948",      "270"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998744440179358,      0.998498369310613, 0.992664487754511, 0.989932102284592,      0.987405989971895, 0.781378517974472, 0.756024104186005,      0.465273569583784, 0.396936267376228, 0.369934709733504,      0.332984807059855, 0.332725159392953, 0.127609594525199,      0.0988441340864246, 0.0806770722427865, 0.0588724061014771,      0.0181212618439818, 0.00313638775184688, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5115275670 
R squared (OOB):                  0.7595289 

$Forests[[298]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(432000, 410000, 420000,      415000, 333000, 388000, 365000, 335000, 305000, 360000, 323000,      313000, 305000, 325000, 371000, 349000, 315000, 375000, 339000,      338000), floor_area_sqm = c(92, 92, 92, 92, 99, 92, 92, 100,      99, 99, 101, 99, 99, 91, 100, 103, 102, 102, 102, 102), storey_order = c(4L,      2L, 1L, 2L, 3L, 1L, 1L, 4L, 4L, 3L, 1L, 4L, 1L, 2L, 2L, 2L,      2L, 3L, 3L, 4L), remaining_lease_mths = c(1123, 1136, 1121,      1125, 927, 1134, 1135, 927, 930, 915, 937, 918, 921, 970,      918, 832, 913, 932, 923, 922), PROX_CBD = c(17.7152334804069,      17.7152334804069, 17.7152334804069, 17.7609329148819, 17.6933534103443,      17.8160591469996, 17.8160591469996, 17.5934100264964, 17.5508688704121,      17.6482187406162, 17.4093430047218, 17.8728040148932, 17.9733391318796,      17.7083177660008, 17.9318121245061, 18.0642207733449, 17.9994058772431,      17.424297644009, 17.9456645257603, 18.1611534549189), PROX_ELDERLYCARE = c(0.0982899037000713,      0.0982899037000713, 0.0982899037000713, 0.0656405943898966,      0.174626049595048, 0.101440000613482, 0.101440000613482,      0.183364759720919, 0.169110695114153, 0.399377154365588,      0.347622879353981, 0.330981516384048, 0.376016337241346,      0.378187975507624, 0.559180828327224, 0.558648465009425,      0.430537495183344, 0.332680427012888, 0.476454782767532,      0.519233937445895), PROX_HAWKER = c(0.815736811633103, 0.815736811633103,      0.815736811633103, 0.769612072642938, 0.89059259132002, 0.755409785256781,      0.755409785256781, 0.860123145519879, 0.736171211400498,      1.11261554439583, 0.646263997619536, 0.446535534086157, 0.501520555884575,      0.340346390827249, 1.18812307179958, 1.20831273824173, 0.472244893923117,      1.2762396177499, 0.3648710200987, 0.617364695979906), PROX_MRT = c(0.674833365376197,      0.674833365376197, 0.674833365376197, 0.714624513867521,      0.606842528225389, 0.729659889526201, 0.729659889526201,      0.675234243169572, 0.804998329325227, 0.417091391951799,      0.722831181419355, 0.4868918768976, 0.52882455357406, 0.403335562748004,      0.256828620430729, 0.387700307898407, 0.492638498779759,      0.484502150769697, 0.385567417899789, 0.623413162025338),          PROX_PARK = c(1.52614967260321, 1.52614967260321, 1.52614967260321,          1.52091098886828, 1.49905344652453, 1.49250729308795,          1.49250729308795, 1.60355051242194, 1.71737354643835,          1.38656874841243, 1.92330050908574, 1.69875568186822,          1.62685700377268, 1.86766019581863, 1.11695175135574,          1.04306097562022, 1.65421298847909, 1.39102562335911,          1.76180373116006, 1.52418818882418), PROX_GOOD_PRISCH = c(8.35538963357137,          8.35538963357137, 8.35538963357137, 8.39120163011403,          8.34857469941546, 8.44175881664207, 8.44175881664207,          8.24279341902993, 8.17476856172454, 8.34983568407236,          8.00696366683488, 8.43952013253886, 8.54142359534323,          8.26299778187914, 8.65275846320069, 8.76549326341746,          8.5589292690065, 8.1609833985331, 8.49089982759618, 8.72758527833631         ), PROX_MALL = c(0.158599011552442, 0.158599011552442,          0.158599011552442, 0.147411017927622, 0.223321337745784,          0.183177100903513, 0.183177100903513, 0.188384425612312,          0.109574351562212, 0.439097430243665, 0.265229996889848,          0.330972758922268, 0.395841490391381, 0.335143296665789,          0.417130987397582, 0.424594513900518, 0.446560923090423,          0.394560370801339, 0.428159644756295, 0.475604736810637         ), PROX_CHAS = c(0.158598978424062, 0.158598978424062,          0.158598978424062, 0.14741100268466, 0.21485891447712,          0.183177099178452, 0.183177099178452, 0.151781240761386,          0.048268048492383, 0.414359256629807, 0.23105278557526,          0.330972805611547, 0.364030465322827, 0.30242004444134,          0.259891808560044, 0.124680964632411, 0.324811070171065,          0.265229996652697, 0.218909691095897, 0.405258493214775         ), PROX_SUPERMARKET = c(0.144345834884574, 0.144345834884574,          0.144345834884574, 0.113022549454425, 0.218378438252518,          0.137568853383185, 0.137568853383185, 0.209139790637019,          0.15801430638391, 0.441697647833666, 0.313773352526138,          0.300218301814749, 0.356071330024396, 0.332189289926598,          0.438907970807184, 0.424593495373258, 0.408691343873882,          0.265230176390619, 0.365864675212809, 0.475604214408431         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 8L, 5L, 8L,          8L, 6L, 7L, 3L, 7L, 4L, 3L, 6L, 3L, 2L, 4L, 2L, 3L, 5L         ), WITHIN_350M_BUS = c(12L, 12L, 12L, 10L, 13L, 15L,          15L, 12L, 12L, 9L, 13L, 8L, 11L, 7L, 9L, 7L, 9L, 9L,          8L, 10L), WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 6L, 8L, 6L,          6L, 8L, 6L, 7L, 5L, 7L, 7L, 5L, 7L, 6L, 7L, 5L, 6L, 6L         ), DNeighbour = c(0, 4.16128184802804, 9.72577917806482,          65.2696273448141, 81.5486853470579, 115.312396736428,          115.896302518739, 124.424571864548, 185.815515009937,          304.229532924771, 398.384598279504, 418.963894161647,          457.789305762398, 476.056235060802, 477.715190957447,          489.847268000684, 510.893488357816, 520.33070077535,          565.149740791511, 580.864709340627)), row.names = c("298",      "13", "289", "365", "112", "53", "402", "419", "438", "891",      "174", "992", "179", "544", "976", "773", "177", "736", "20",      "330"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999897358466482,      0.999439380834173, 0.974907042810707, 0.960968722483003,      0.922733918687157, 0.921965364060725, 0.910337128577652,      0.805806779996666, 0.526615783784348, 0.280490174921312,      0.230170265592715, 0.143543780320251, 0.107789843141305,      0.104732562623557, 0.0834246898337493, 0.0512615650848128,      0.0390326184787966, 0.00284909711905325, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       592579260 
R squared (OOB):                  0.6295063 

$Forests[[299]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 460000, 445000,      350000, 491000, 485000, 347000, 370000, 290000, 3e+05, 455000,      330000, 585000, 335000, 285000, 334008, 415000, 370000, 390000,      295000), floor_area_sqm = c(93, 93, 93, 93, 92, 93, 90, 90,      92, 99, 99, 103, 91, 102, 92, 103, 92, 102, 92, 106), storey_order = c(4L,      7L, 7L, 3L, 9L, 10L, 2L, 3L, 4L, 1L, 2L, 2L, 10L, 4L, 1L,      2L, 2L, 3L, 1L, 1L), remaining_lease_mths = c(1131, 1135,      1117, 1018, 1137, 1112, 971, 977, 690, 697, 951, 937, 995,      940, 697, 917, 1132, 927, 1132, 825), PROX_CBD = c(15.1194109037639,      15.0332592042754, 14.9897790388493, 14.9930585550483, 15.0782917837809,      14.8542518275748, 14.6079806280174, 14.489397367385, 14.8961777358487,      14.8036441916204, 14.3012013074868, 14.5165027597446, 14.2059144167977,      14.4474740114555, 14.6519123293037, 14.2719972222741, 14.6122009832922,      14.12564920201, 14.6424103631698, 14.7220636963442), PROX_ELDERLYCARE = c(0.632846087105322,      0.653175957864657, 0.622451014094897, 0.766085625885291,      0.811417024562957, 0.671766786446111, 0.966138977916587,      0.929205058584809, 0.090689252710872, 0.0965145667339982,      0.93663965535868, 0.389463724969334, 0.923774065318005, 1.50338082315219,      0.254409923718011, 1.50921581969441, 1.68824062303628, 1.44816412197145,      1.72557175775889, 0.327768156942021), PROX_HAWKER = c(0.399490681633122,      0.344843972730765, 0.366862032582334, 0.230353911902381,      0.241120378832392, 0.3485650804915, 0.31691894051251, 0.478869651742105,      1.02395142210687, 1.07372228066705, 0.693090021451824, 1.0617726338971,      0.829910539202106, 0.588144724666333, 1.21550185558774, 0.684102697062058,      0.707122679385598, 0.778468578249857, 0.740384095011384,      1.39864823048803), PROX_MRT = c(0.674936552563307, 0.587916938270161,      0.550628186781769, 0.545901722651448, 0.604690005035212,      0.41695674877223, 0.188565130994124, 0.0437298005890327,      0.437229774651496, 0.363746184676816, 0.189883903502813,      0.0901878473788138, 0.127617925270923, 0.224566301285939,      0.218405848235923, 0.347262283963267, 0.295449456212788,      0.476637705223286, 0.312698200175978, 0.0523025726452692),          PROX_PARK = c(0.773048101136696, 0.858154923175006, 0.886983007034967,          0.937160160632966, 0.889047622652367, 1.00246315577637,          1.07918529837209, 0.935596264101672, 0.600185611341118,          0.497172938499345, 0.812876767906526, 0.278686390612803,          0.716522496183652, 1.55939681176166, 0.325486875199719,          1.38760566459916, 1.76906915549279, 1.20701221478007,          1.78460824921244, 0.432331111477529), PROX_GOOD_PRISCH = c(5.74516136190441,          5.67093979106873, 5.61521578968116, 5.6774973866509,          5.77803713337603, 5.49301939379528, 5.35450137646782,          5.1963266927986, 5.28070608730985, 5.17691715074399,          4.98177209241419, 4.93093863547281, 4.85056771881294,          5.45861643017911, 4.99149337529414, 5.26118802945754,          5.7298925008129, 5.06260566207177, 5.77937603269072,          4.99661753747661), PROX_MALL = c(0.744876648240093, 0.671424081833306,          0.615054651957031, 0.691703794200818, 0.79347213158724,          0.497662931100388, 0.479398555662368, 0.345992784345898,          0.252669380741675, 0.278400001713995, 0.236735170365795,          0.38830118917563, 0.148456555084967, 0.12145856762689,          0.377416550632833, 0.108121271181015, 0.426875162675013,          0.287395381957405, 0.482269498416602, 0.343882807046916         ), PROX_CHAS = c(0.0812821875339188, 0.0438337826764906,          0.101756162724623, 0.094086780959658, 0.128222338920945,          0.139715392485403, 0.166948923507452, 3.77135010377852e-08,          0.252669404800451, 0.190291087196022, 0.214782230853987,          0.0918929757518676, 0.148456588323488, 0.121458549123021,          0.0736014920224838, 0.108121286081234, 0.270793953405505,          0.182188888557241, 0.280031834846542, 0.141205029857343         ), PROX_SUPERMARKET = c(0.325050502595441, 0.238848984717478,          0.215874380558773, 0.189746195069109, 0.286089695736963,          0.118312809115248, 0.218811722485387, 0.31785895032531,          0.186322037460738, 0.190291125096353, 0.172194506074768,          0.354026220875794, 0.154204342539502, 0.134916350552101,          0.128878263549785, 0.105248463653719, 0.270794118098451,          0.277268812686258, 0.280032026158491, 0.141204847242777         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 1L, 1L,          2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 3L,          2L, 5L, 3L, 3L, 6L, 5L, 7L, 5L, 3L, 4L, 5L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(12L, 10L, 11L, 11L, 10L, 11L,          13L, 13L, 7L, 9L, 15L, 7L, 17L, 11L, 9L, 10L, 6L, 10L,          6L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 4L, 4L,          5L, 5L, 3L, 3L, 3L, 2L, 3L, 5L, 3L, 5L, 4L, 5L, 3L, 2L         ), DNeighbour = c(0, 86.6422188020918, 130.423410848632,          176.285218606725, 188.109641835635, 267.190814810336,          544.031815163292, 634.555243100796, 739.636110637887,          818.236641695159, 823.048649547301, 903.324277988158,          931.014353625959, 981.613473493676, 991.067284998802,          1052.88437964271, 1102.15100516102, 1105.06828249452,          1133.8305479316, 1143.64020739632)), row.names = c("299",      "865", "500", "836", "568", "159", "385", "374", "87", "995",      "717", "592", "146", "826", "986", "381", "489", "703", "323",      "786"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.988553777884833,      0.974157834287721, 0.953043840115881, 0.94662248899783, 0.893811684155711,      0.598623614333655, 0.479051128950809, 0.338409047943645,      0.238248643913898, 0.232390203123484, 0.141458181663713,      0.113753840710075, 0.069316599154573, 0.0620117540641141,      0.0232307654431682, 0.0050751778078425, 0.00439796006734251,      0.000291780200466051, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4831058987 
R squared (OOB):                  0.2701685 

$Forests[[300]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 365000, 450000,      330000, 4e+05, 455000, 465000, 418000, 338000, 430000, 345000,      330000, 410000, 425000, 4e+05, 390000, 310000, 435000, 410000,      420000), floor_area_sqm = c(90, 91, 93, 105, 90, 106, 106,      112, 103, 91, 95, 104, 93, 93, 91, 90, 104, 92, 92, 92),          storey_order = c(3L, 4L, 4L, 1L, 3L, 4L, 2L, 5L, 4L,          4L, 3L, 3L, 4L, 4L, 2L, 2L, 3L, 4L, 3L, 5L), remaining_lease_mths = c(1060,          1061, 950, 896, 953, 933, 933, 904, 836, 962, 1003, 847,          1117, 1126, 956, 947, 838, 1129, 1131, 1134), PROX_CBD = c(17.6242343596777,          17.5974072281911, 17.4336546583772, 17.9794873864528,          17.5759295796121, 17.1634204962367, 17.1401277939721,          17.2048826778539, 18.1853470145009, 17.4594236905894,          17.7047470513727, 18.238428451998, 17.3263676504413,          17.3263676504413, 17.5146993337396, 17.5579663674298,          18.2872060948971, 17.2397585888566, 17.2397585888566,          17.2397585888566), PROX_ELDERLYCARE = c(0.892136309268664,          0.819477307137174, 0.825709875044437, 1.20397588034421,          1.07156662032258, 0.565792923614884, 0.586863575497558,          0.400468425457175, 1.46334015610348, 1.1429422216578,          0.933045885854195, 1.49823830734066, 0.561119780492452,          0.561119780492452, 1.21552371031002, 1.26304449634962,          1.57361264937598, 0.500148198332671, 0.500148198332671,          0.500148198332671), PROX_HAWKER = c(0.816419857336687,          0.922900854400271, 0.841716009165303, 0.736691454978467,          0.622851592932912, 0.666841975849823, 0.685044657792881,          0.498365875295267, 0.490406092071559, 0.704564458032275,          1.00938993481846, 0.548143788898404, 0.631285601786086,          0.631285601786086, 0.65109908849923, 0.610726758846462,          0.464971900021808, 0.55990768529081, 0.55990768529081,          0.55990768529081), PROX_MRT = c(0.729175757939742, 0.830609903675807,          0.463093751675267, 1.05284557964442, 0.449846795062068,          0.463116738810145, 0.418422993771755, 0.87869292375624,          0.888080533877704, 0.304209523777939, 1.29287496569192,          0.950317003394984, 1.13344401626098, 1.13344401626098,          0.367017506823782, 0.415424130147435, 0.870907467758581,          1.16124452414741, 1.16124452414741, 1.16124452414741),          PROX_PARK = c(0.830497330619545, 0.751240825934154, 0.609424449579261,          0.555889077383573, 0.650211227804106, 0.505224516024672,          0.454841043819919, 0.9054780070858, 0.741201414908801,          0.515475588097358, 0.495314460898113, 0.690805332809177,          0.872985599051717, 0.872985599051717, 0.57589083993138,          0.622915525490857, 0.791043930625847, 0.959994438388966,          0.959994438388966, 0.959994438388966), PROX_GOOD_PRISCH = c(6.97273607492461,          6.95474206477502, 6.77374769998522, 7.33264137396139,          6.90999703096039, 6.50789265243056, 6.48254224033906,          6.57740517739392, 7.52724739525134, 6.79149624878531,          7.10206992983331, 7.58243576478886, 6.72174636420399,          6.72174636420399, 6.84682201594428, 6.89020500321914,          7.62743554697163, 6.64012383316355, 6.64012383316355,          6.64012383316355), PROX_MALL = c(0.671391539314818, 0.757845794253982,          0.404491618549369, 0.387548928263219, 0.456006423255308,          0.353588302636786, 0.306862579253759, 0.446026044391999,          0.362005799982455, 0.366883459562171, 0.790613232916467,          0.291730094824992, 0.530342726071102, 0.530342726071102,          0.437698049352173, 0.488271313828636, 0.369641594977131,          0.450738515511335, 0.450738515511335, 0.450738515511335         ), PROX_CHAS = c(0.0497500971788425, 0.175468897673469,          0.260153188296123, 0.324283073315245, 0.401255348981324,          0.171584438209325, 0.133156315003352, 0.130380344727655,          0.11010335009361, 0.293637386768921, 0.40646651865696,          0.0811018368302058, 0.254413742194056, 0.254413742194056,          0.354009255575758, 0.40162373925963, 0.000458346083760352,          0.221318263528924, 0.221318263528924, 0.221318263528924         ), PROX_SUPERMARKET = c(0.442456788826315, 0.336744227428862,          0.355873580059747, 0.337417678694655, 0.338457664260807,          0.320581809168482, 0.27639551573194, 0.445962312606475,          0.36017462873485, 0.217741105325511, 0.260900811674997,          0.289827711639516, 0.529573977763673, 0.529573977763673,          0.288534867112482, 0.339170507836652, 0.367596841627256,          0.449846933875903, 0.449846933875903, 0.449846933875903         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 2L, 1L, 1L,          1L, 3L, 7L, 2L, 0L, 4L, 2L, 2L, 2L, 2L, 6L, 2L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 4L, 3L, 5L, 4L,          3L, 2L, 4L, 6L, 2L, 3L, 3L, 3L, 6L, 6L, 4L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(12L, 6L, 12L, 9L, 8L, 8L, 7L,          8L, 11L, 8L, 6L, 10L, 5L, 5L, 10L, 9L, 9L, 6L, 6L, 6L         ), WITHIN_1KM_PRISCH = c(4L, 4L, 6L, 5L, 4L, 4L, 4L,          3L, 5L, 4L, 3L, 4L, 3L, 3L, 4L, 4L, 5L, 3L, 3L, 3L),          DNeighbour = c(0, 144.901071086008, 270.551788641672,          366.078908955189, 409.950611002445, 473.328225080789,          498.720895840285, 524.183451004545, 578.380488192731,          618.2598434261, 618.430481144376, 627.268964938482, 636.722248942667,          639.198877641616, 656.072557193657, 683.531959507584,          685.328129570606, 715.649697223015, 719.156559878534,          720.322081052535)), row.names = c("300", "720", "535",      "870", "357", "991", "530", "889", "857", "937", "631", "839",      "797", "925", "93", "545", "414", "290", "86", "280"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.920705594036335, 0.737753660112285, 0.550143985776768,      0.457112549251841, 0.322863994704094, 0.27106614480699, 0.221316108916241,      0.126221063883651, 0.0693287183410231, 0.0691147085806284,      0.0584078423893529, 0.0478070524504838, 0.0451809216523144,      0.0290481754672447, 0.00990830680484379, 0.00898738989008802,      0.000167209874769495, 1.045547754771e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       902476326 
R squared (OOB):                  0.5642089 

$Forests[[301]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(412000, 460000, 365000,      460000, 420000, 455000, 415000, 398000, 437000, 455000, 450000,      375000, 475000, 495000, 550000, 510000, 485000, 450000, 470000,      465000), floor_area_sqm = c(90, 92, 90, 92, 93, 92, 93, 93,      93, 93, 94, 90, 92, 93, 95, 97, 95, 95, 93, 95), storey_order = c(3L,      3L, 3L, 3L, 1L, 5L, 2L, 1L, 2L, 4L, 4L, 4L, 5L, 5L, 4L, 2L,      6L, 3L, 5L, 4L), remaining_lease_mths = c(1034, 1107, 979,      1097, 1101, 1108, 1071, 1077, 1076, 1096, 1123, 986, 1098,      1080, 1115, 1104, 1113, 1126, 1125, 1110), PROX_CBD = c(13.9701294998534,      14.2518409016409, 13.6373310118807, 14.2694643570804, 14.3298082323417,      14.2694643570804, 14.2040057462849, 14.2040057462849, 14.2040057462849,      14.3469943525049, 14.0429369190019, 13.5741440973944, 14.3437499696049,      14.2035293519974, 13.9206851659757, 13.7787547800329, 14.2445424628862,      14.1366846915735, 14.2374266118925, 14.3101587663686), PROX_ELDERLYCARE = c(0.798789790509628,      0.985840321219444, 0.753498484846986, 1.14423906696184, 0.943112693551276,      1.14423906696184, 0.732225931930739, 0.732225931930739, 0.732225931930739,      1.07571195137499, 1.1015647640471, 0.759293685927778, 1.14464302293932,      0.685279068417721, 0.410984632703067, 0.357313426679343,      1.24643506877499, 1.17371591683522, 1.2819446304668, 1.29024298571696     ), PROX_HAWKER = c(0.796241674024292, 0.656651462258042,      1.08343538740726, 0.826638245470088, 0.494981643036057, 0.826638245470088,      0.429643877236979, 0.429643877236979, 0.429643877236979,      0.654543769257927, 1.07710025413616, 1.13978469441664, 0.74882220835846,      0.384064154962602, 0.63246529422046, 0.779750574682814, 0.968852406622053,      1.09084844555913, 1.02089221118434, 0.961388959141492), PROX_MRT = c(0.262922949537813,      0.189142279194464, 0.0904459633140829, 0.30438768875815,      0.122691316210064, 0.30438768875815, 0.339881548667158, 0.339881548667158,      0.339881548667158, 0.131478587775223, 0.324573358240557,      0.147719870982538, 0.217663394995295, 0.289240493397468,      0.247793554682504, 0.373119808041594, 0.184117552261459,      0.218319465176875, 0.148741201515391, 0.148967878322013),          PROX_PARK = c(0.929619749314005, 0.785709089572823, 0.802899104641211,          0.599699049952129, 0.760551135167525, 0.599699049952129,          0.735378016798131, 0.735378016798131, 0.735378016798131,          0.731552922713316, 0.58019258504408, 0.739375101722708,          0.636899975343007, 0.69423802629866, 0.9355470513087,          1.07510958061046, 0.481320095248247, 0.474063272255088,          0.440474428767772, 0.444639968372477), PROX_GOOD_PRISCH = c(4.76155598853922,          5.03443000866885, 4.47444600576345, 5.12184985907385,          5.05687720866847, 5.12184985907385, 4.87692111553996,          4.87692111553996, 4.87692111553996, 5.13548460888622,          4.9857651679507, 4.41976113712118, 5.1680916684458, 4.84858590291698,          4.55661004860153, 4.43794264479214, 5.1542412945362,          5.09375212835948, 5.16870486361587, 5.21803047984022),          PROX_MALL = c(0.698652085628877, 0.535261743386166, 0.719665126414215,          0.351657486288216, 0.644100917109673, 0.351657486288216,          0.458083927679449, 0.458083927679449, 0.458083927679449,          0.480981762762808, 0.401409437181884, 0.656440732478167,          0.38589862433106, 0.37351280301214, 0.441605558767423,          0.579723774298741, 0.248497232357685, 0.295276560881227,          0.22058685557285, 0.199960318099191), PROX_CHAS = c(0.224338502615803,          0.121511881264649, 0.111923036871509, 0.120456720485379,          0.116678641770301, 0.120456720485379, 0.0920652608940773,          0.0920652608940773, 0.0920652608940773, 0.0578525184286013,          0.0207330025336023, 0.175269995719201, 0.0401042229543167,          0.170907589664044, 0.230184731543739, 0.2330532561781,          0.185564313785613, 0.0995517477546361, 0.177995101264401,          0.199960275799137), PROX_SUPERMARKET = c(0.281017798180362,          0.121511691834874, 0.371011221099329, 0.244158473149448,          0.116679779166118, 0.244158473149448, 0.0920659899308881,          0.0920659899308881, 0.0920659899308881, 0.0704323341151683,          0.0207321820187816, 0.3594639622224, 0.165776473264822,          0.170908382081647, 0.23018467784701, 0.233052713938452,          0.185564776027004, 0.0995512052866983, 0.177995229543633,          0.199173279096103), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,          0L, 1L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(7L, 10L,          6L, 10L, 7L, 10L, 5L, 5L, 5L, 7L, 6L, 6L, 8L, 5L, 4L,          4L, 9L, 8L, 8L, 8L), WITHIN_350M_BUS = c(13L, 9L, 11L,          9L, 9L, 9L, 9L, 9L, 9L, 8L, 9L, 10L, 8L, 9L, 13L, 11L,          7L, 8L, 6L, 6L), WITHIN_1KM_PRISCH = c(8L, 6L, 8L, 6L,          5L, 6L, 5L, 5L, 5L, 4L, 7L, 9L, 5L, 5L, 5L, 8L, 7L, 7L,          7L, 7L), DNeighbour = c(0, 277.594328506654, 335.8163348875,          369.188108889243, 370.405570616597, 370.807781415625,          371.942483926465, 372.41250334179, 374.971582280252,          378.676859234987, 398.52128427667, 398.701175496318,          406.414124286442, 443.31128492047, 446.310341852812,          447.041331336885, 448.453943503874, 476.145567107718,          487.9674860039, 500.495103994896)), row.names = c("301",      "73", "660", "434", "688", "470", "272", "448", "911", "488",      "754", "15", "70", "66", "516", "549", "349", "76", "537",      "142"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.479383254253237,      0.30228177568128, 0.207825371873585, 0.204560902948599, 0.20348575846891,      0.200461634956276, 0.199212918168143, 0.192455420090142,      0.182798657331386, 0.133940913996857, 0.133522181542286,      0.116019762208335, 0.0464208197643764, 0.0419446430898573,      0.040883609200686, 0.0388669444652205, 0.00901263306040743,      0.00244375770855725, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1525960829 
R squared (OOB):                  0.2297591 

$Forests[[302]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 390000, 415000,      375000, 390000, 428000, 342000, 4e+05, 412000, 390000, 455000,      537000, 518000, 483000, 535000, 495000, 5e+05, 553000, 520000,      425000), floor_area_sqm = c(104, 105, 106, 104, 105, 112,      105, 104, 104, 104, 112, 93, 93, 93, 93, 93, 93, 93, 93,      104), storey_order = c(2L, 3L, 3L, 1L, 3L, 1L, 1L, 3L, 3L,      2L, 1L, 4L, 2L, 2L, 3L, 2L, 3L, 4L, 3L, 3L), remaining_lease_mths = c(905,      921, 919, 919, 911, 892, 904, 903, 891, 906, 896, 1128, 1132,      1129, 1131, 1131, 1131, 1134, 1133, 871), PROX_CBD = c(13.6654936015449,      13.4627621473458, 13.4239402990732, 13.4266027498608, 13.3796709379934,      13.9733994982273, 13.3769343120963, 13.3287778793447, 14.1568072460962,      14.1961571609712, 14.0913802169285, 14.1022978560303, 14.0392008059995,      13.9851487819813, 13.9851487819813, 14.1234549986629, 13.8777465201196,      13.8021184722805, 13.7835124985007, 14.0236082538335), PROX_ELDERLYCARE = c(2.4559089786438,      2.3602438602499, 2.35754914737924, 2.17127601573547, 2.22474645739358,      2.73602573538322, 2.13793612643937, 2.1917657327852, 2.56669577269824,      2.56528175499621, 1.71411655426264, 1.39999761805574, 1.32747908409073,      1.27246652758392, 1.27246652758392, 1.35242241046818, 1.14875617578224,      1.08391670289184, 1.04590518035641, 1.09340394122649), PROX_HAWKER = c(1.8007485076056,      1.98731518790586, 2.04148614266885, 1.79623369603986, 1.93918128958002,      1.72752929984142, 1.83400406292357, 1.97547555130032, 1.398882753411,      1.37564916931309, 0.659732742059419, 0.488105393549706, 0.543253862226502,      0.59565400543288, 0.59565400543288, 0.458626901673037, 0.709523473368326,      0.792084042786722, 0.817574416707151, 0.594999289424802),          PROX_MRT = c(1.57537750219681, 1.75308710953532, 1.80644454579453,          1.55284801629317, 1.69795623670388, 1.52912572857094,          1.58891799000297, 1.73242783606755, 1.21408476422274,          1.19597144129318, 0.410797330392975, 0.255700458734308,          0.327704984287647, 0.390641440388092, 0.390641440388092,          0.250036690549804, 0.526263367583387, 0.615458599020507,          0.648112836468654, 0.469886084443941), PROX_PARK = c(0.850306194456086,          0.956537089868377, 1.00169815399328, 0.713305409065456,          0.863182736105437, 0.916601452818718, 0.736187117229036,          0.88512129863374, 0.574460502508352, 0.541272645896965,          0.524242894978874, 0.52092144022497, 0.547177414231792,          0.580591669210194, 0.580591669210194, 0.469588575534173,          0.548712671125698, 0.476945111703218, 0.438074957540257,          0.504422356794811), PROX_GOOD_PRISCH = c(3.15584859653876,          3.09165556928148, 3.09662994187342, 2.87807351257242,          2.95323290488506, 3.4114102230046, 2.85157742620146,          2.92650083991791, 3.36750863472211, 3.39040053008466,          2.83541955823977, 2.69832814229385, 2.61966269686357,          2.55482099432271, 2.55482099432271, 2.69456588548322,          2.41902859908312, 2.33081910479479, 2.3007469286795,          2.51794344218072), PROX_MALL = c(0.710058429219954, 0.924666219790251,          0.980263777031476, 0.808973697710999, 0.921202261186462,          0.596418817267466, 0.857746498744393, 0.968339604524727,          0.280844166366742, 0.270320025824244, 0.471401908473598,          0.257523814996123, 0.316340524018432, 0.37312896686832,          0.37312896686832, 0.232476208076891, 0.498678106329343,          0.585717052475653, 0.615576551193732, 0.418819234777705         ), PROX_CHAS = c(0.111974276762728, 0.335494764547789,          0.386919516068906, 0.374720545025774, 0.396028378293497,          0.126775582068521, 0.418304503654494, 0.447143544638255,          0.192284580165596, 0.176758267598596, 0.471401941314913,          0.177701329016163, 0.101753514952091, 0.0604900109870272,          0.0604900109870272, 0.147334233235439, 0.133705064347241,          0.221659659627321, 0.253975316505048, 0.151261605672147         ), PROX_SUPERMARKET = c(0.207177695926551, 0.370560193975877,          0.409344743904916, 0.196965153344936, 0.347107460725314,          0.159712105919183, 0.224617478786604, 0.37251565902947,          0.192285941870899, 0.176759883249677, 0.471402360745676,          0.177702101069216, 0.101754383553332, 0.0604908810371704,          0.0604908810371704, 0.147334782275979, 0.133704798830233,          0.221659301316653, 0.253974877653299, 0.151260689076964         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 1L, 0L, 5L,          1L, 0L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 1L, 1L, 1L, 2L,          1L, 1L, 3L, 4L, 1L, 4L, 4L, 3L, 3L, 4L, 2L, 2L, 2L, 4L         ), WITHIN_350M_BUS = c(12L, 7L, 7L, 7L, 8L, 10L, 5L,          6L, 9L, 9L, 12L, 11L, 10L, 8L, 8L, 13L, 8L, 5L, 6L, 12L         ), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          2L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L),          DNeighbour = c(0, 233.95921030186, 282.56953453433, 286.479010535717,          288.175657075124, 306.241971049693, 326.449660083946,          344.127241114411, 541.894487143514, 587.242576638661,          1173.89451337459, 1500.78951767491, 1530.20837839327,          1548.09603464987, 1552.39732724321, 1556.906584046, 1618.52463005653,          1653.32762418871, 1689.70033728232, 1758.19666394932)), row.names = c("302",      "155", "38", "818", "222", "119", "965", "949", "933", "555",      "352", "815", "218", "938", "819", "212", "579", "275", "380",      "51"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.964899505573579,      0.949008189747226, 0.947606546484189, 0.946992590734906,      0.940243368390518, 0.932239558291249, 0.924849174566353,      0.819036498633014, 0.789329439285615, 0.307156779301621,      0.073643840892846, 0.0588201150625208, 0.0504972230293616,      0.0485769205062226, 0.0465981908410504, 0.0232776718255153,      0.0133943521011337, 0.00583677999866597, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3896142176 
R squared (OOB):                  0.04935288 

$Forests[[303]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(463888, 578888, 525000,      558000, 540000, 415000, 475000, 7e+05, 670000, 315000, 348000,      372500, 410000, 421000, 420000, 490000, 430000, 380000, 350880,      392000), floor_area_sqm = c(95, 95, 95, 92, 92, 92, 93, 92,      92, 91, 100, 102, 93, 93, 93, 92, 91, 92, 91, 103), storey_order = c(1L,      2L, 5L, 6L, 6L, 2L, 4L, 4L, 5L, 1L, 3L, 2L, 4L, 4L, 2L, 3L,      4L, 1L, 2L, 2L), remaining_lease_mths = c(1140, 1134, 1141,      1136, 1142, 1130, 1130, 1126, 1121, 790, 938, 931, 788, 789,      1099, 1038, 777, 1037, 785, 833), PROX_CBD = c(11.4133195883395,      11.5493041544933, 11.6190928108465, 11.665784828589, 11.3687765497058,      11.3687765497058, 11.4536743231806, 11.1573644039326, 11.0595651330709,      10.6917699702976, 11.8646943012694, 11.9627383543319, 10.7402382849343,      10.8005053894847, 11.8999896789117, 11.6213283462416, 10.4167519306418,      11.6419253241709, 10.3813809316332, 10.8307618753175), PROX_ELDERLYCARE = c(1.61512702812623,      1.47184415110161, 1.40356458884146, 1.35367167055226, 1.27208236570677,      1.27208236570677, 1.19895989384568, 1.34447435494956, 1.41694161867716,      1.07660186858624, 0.893707553155367, 0.96089261866182, 1.05196585123006,      1.11154389564577, 0.790393757138983, 0.621923465733728, 0.852176862644424,      0.626216066088841, 0.833489789321986, 1.12487398858542),          PROX_HAWKER = c(1.4377955077332, 1.35052465166479, 1.37423229702662,          1.3549106116919, 1.07923254025891, 1.07923254025891,          1.02903329925728, 1.10011050744246, 1.19495083476736,          1.35937058559257, 0.888626336009462, 0.983415578941634,          1.02652926791064, 0.918995125488027, 0.820501997631561,          0.537052085835962, 1.55256346901264, 0.553081930127745,          1.5910354083573, 0.775872885593274), PROX_MRT = c(0.8250506195824,          0.653877184653349, 0.615423035680267, 0.561684506891731,          0.671331594421278, 0.671331594421278, 0.573574303209013,          0.876646963171676, 0.991329354536752, 0.753106278920522,          0.214047355776769, 0.122900516984256, 0.546812793492647,          0.566932323762424, 0.261250382411254, 0.182944945438028,          0.686459009674335, 0.168432978085695, 0.699917284291438,          0.568072215940967), PROX_PARK = c(0.60176146852012, 0.597750851398377,          0.654992910383756, 0.671016599957339, 0.294690087030438,          0.294690087030438, 0.341254943367627, 0.189026691537682,          0.275833477585303, 0.536819237128991, 0.747986195716587,          0.836149627657164, 0.401614025373747, 0.370936327890873,          0.813614799778521, 0.643411448820926, 0.613918856542286,          0.654970873229416, 0.616002692100522, 0.443949121553361         ), PROX_GOOD_PRISCH = c(3.26097143466547, 3.26501815247482,          3.31796907605439, 3.32537175969635, 2.95589454100459,          2.95589454100459, 2.96812409551872, 2.83177349547833,          2.8385375863655, 2.68318776685765, 3.05097986431403,          3.15511978010431, 2.39141973384207, 2.34700895725274,          3.00567179865442, 2.69528593883292, 2.62113030487697,          2.71543842399088, 2.6286340652406, 2.22887532154294),          PROX_MALL = c(0.979751787656279, 0.808458836713889, 0.768943294332632,          0.714662485508778, 0.814743407183115, 0.814743407183115,          0.714729745574342, 0.831480717149744, 0.76911725394793,          0.459259689573629, 0.265637621954407, 0.161680393170103,          0.344610557976029, 0.363372953846058, 0.283076960540796,          0.597386337892971, 0.350991485118426, 0.576398809288588,          0.365493224544838, 0.384053234723219), PROX_CHAS = c(0.136218265087875,          0.0498455969042401, 0.119929951445322, 0.167944095298073,          0.257507761616553, 0.257507761616553, 0.31407050179696,          0.0819321575559949, 0.0661119226245057, 0.0626028682349028,          0.265637621677666, 0.161680400961643, 0.106045676778667,          0.111289200730163, 0.283076936045466, 0.130352204164602,          0.302383860370021, 0.118628580179885, 0.28517644723447,          0.2644107607892), PROX_SUPERMARKET = c(0.0830307595499944,          0.0982179911218008, 0.16327623873727, 0.215917356790886,          0.30094246041235, 0.30094246041235, 0.345653574215055,          0.408274605358357, 0.444069124865739, 0.550262392018624,          0.211091622880127, 0.107037284539066, 0.357992185767737,          0.386863986973968, 0.236972988988714, 0.0679201472407272,          0.519095500550079, 0.0879874709963817, 0.49431722643315,          0.407226974513028), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 1L, 0L, 1L, 2L, 1L, 0L, 0L, 2L, 2L, 0L,          0L, 1L, 0L, 1L, 2L), WITHIN_350M_CHILDCARE = c(3L, 3L,          2L, 1L, 3L, 3L, 2L, 3L, 3L, 3L, 7L, 8L, 3L, 3L, 7L, 6L,          6L, 6L, 6L, 4L), WITHIN_350M_BUS = c(4L, 4L, 3L, 4L,          10L, 10L, 8L, 6L, 9L, 7L, 8L, 9L, 6L, 9L, 9L, 8L, 9L,          8L, 10L, 11L), WITHIN_1KM_PRISCH = c(1L, 2L, 2L, 2L,          3L, 3L, 4L, 3L, 3L, 3L, 5L, 4L, 5L, 5L, 5L, 6L, 2L, 5L,          2L, 6L), DNeighbour = c(0, 173.944648530429, 234.532066918748,          284.400710910583, 359.369999554983, 362.576170493304,          419.7638950176, 434.207381170269, 437.682407129272, 757.369604700045,          851.606207263627, 877.558727979701, 894.387099416642,          916.378900091561, 972.757876319824, 997.922047453801,          1001.37599002482, 1002.59416841202, 1033.47981299786,          1036.19011504984)), row.names = c("303", "772", "160",      "830", "876", "157", "132", "425", "407", "569", "232", "295",      "6", "56", "185", "89", "480", "421", "626", "743"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.944433826682443, 0.900164240659136, 0.855009958226693,      0.77390175792529, 0.770113382170924, 0.698714475741438, 0.67964135845228,      0.674996561555209, 0.216931859809334, 0.105327108990381,      0.0799448231283764, 0.065011098764273, 0.0474733578838256,      0.0140863892881085, 0.00525611765747349, 0.00436492317804235,      0.00406966386407193, 2.72947918709847e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10199625040 
R squared (OOB):                  0.07609356 

$Forests[[304]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 355000, 345000,      415000, 292000, 320000, 385000, 343000, 350000, 370000, 295000,      325000, 345000, 310000, 290000, 345000, 295000, 3e+05, 390000,      333000), floor_area_sqm = c(104, 106, 114, 104, 104, 106,      104, 102, 104, 103, 105, 104, 103, 104, 92, 104, 106, 99,      126, 108), storey_order = c(2L, 1L, 2L, 2L, 2L, 1L, 1L, 5L,      2L, 4L, 1L, 1L, 5L, 1L, 4L, 4L, 1L, 1L, 2L, 4L), remaining_lease_mths = c(828,      825, 839, 875, 828, 851, 863, 935, 863, 881, 870, 872, 944,      879, 690, 862, 825, 697, 879, 895), PROX_CBD = c(15.6198573118901,      15.6983328737326, 15.4582319270764, 15.8781143296649, 15.1374510187917,      15.9983120826665, 16.2492480828887, 15.6558233565228, 15.9139497277605,      15.9139497277605, 16.027241877126, 15.9652370890998, 15.6615925135045,      15.9652370890998, 14.8961777358487, 16.2035530975804, 14.7220636963442,      14.8036441916204, 16.1769042321823, 16.5397910410307), PROX_ELDERLYCARE = c(0.497975502399054,      0.587171684565488, 0.319622441582349, 0.633288957745621,      0.426629771798313, 0.541237256511776, 0.836071823435323,      0.268146833149962, 0.471057675436291, 0.471057675436291,      0.401697186037664, 0.372962984236141, 0.372854461013726,      0.372962984236141, 0.090689252710872, 0.462412199513001,      0.327768156942021, 0.0965145667339982, 0.382017171357745,      0.706939892416911), PROX_HAWKER = c(1.6566914426712, 1.64071314431986,      1.7245004017694, 1.79301822351461, 1.49196951764411, 2.1818192257633,      2.17952287051713, 2.27183532495414, 2.34701070601947, 2.34701070601947,      2.44772974464855, 2.45115541279444, 2.39243139523594, 2.45115541279444,      1.02395142210687, 2.51024920878341, 1.39864823048803, 1.07372228066705,      2.55739022352562, 2.14655926815246), PROX_MRT = c(0.297714051615291,      0.341199960643831, 0.233994550027949, 0.159697283923578,      0.164193456307044, 0.364450998520493, 0.290093838525113,      0.370313443989706, 0.424613907535265, 0.424613907535265,      0.538616250543522, 0.52727924180445, 0.499275570100955, 0.52727924180445,      0.437229774651496, 0.65447898159524, 0.0523025726452692,      0.363746184676816, 0.674610535324426, 0.460645764817668),          PROX_PARK = c(0.782164021798725, 0.686441032296595, 0.998254167239372,          0.678969217742802, 0.786093050092807, 1.05372411430502,          0.886796559947336, 1.16446299803307, 1.30337713627377,          1.30337713627377, 1.35146177086674, 1.39203600576681,          1.19384102986047, 1.39203600576681, 0.600185611341118,          1.32632916723033, 0.432331111477529, 0.497172938499345,          1.39748820590438, 0.711243459523284), PROX_GOOD_PRISCH = c(5.84268664292306,          5.93514971647738, 5.64801716169655, 6.09357654169244,          5.37568176340172, 6.12314921566155, 6.4097782056775,          5.73062396037349, 5.99275530970335, 5.99275530970335,          6.09534233388474, 6.02718330754398, 5.71328270316738,          6.02718330754398, 5.28070608730985, 6.27623366830878,          4.99661753747661, 5.17691715074399, 6.23706483495109,          6.77397603493671), PROX_MALL = c(0.394873468760787, 0.310729806849059,          0.455554164929496, 0.145699923430919, 0.249545786638779,          0.45623102577182, 0.355568776497803, 0.155488337640192,          0.338688619983659, 0.338688619983659, 0.275346491924215,          0.238316612740974, 0.238209845871265, 0.238316612740974,          0.252669380741675, 0.370949542105629, 0.343882807046916,          0.278400001713995, 0.292722816398213, 0.345326846187852         ), PROX_CHAS = c(0.28481487293308, 0.261893114523038,          0.158017550603297, 0.0723222156351423, 0.193150290660334,          0.290215734280461, 0.121251060497272, 0.155488306171375,          0.338688583692834, 0.338688583692834, 0.275346446899555,          0.238316573509266, 0.238209795937414, 0.238316573509266,          0.252669404800451, 0.370949494121523, 0.141205029857343,          0.190291087196022, 0.292722768811081, 0.286223989121013         ), PROX_SUPERMARKET = c(0.407244625741832, 0.322774913149109,          0.387973705585917, 0.157892159590583, 0.200567401454574,          0.162067612034701, 0.350013224352412, 0.152010752053411,          0.112474666082431, 0.112474666082431, 0.141316208924405,          0.177610526119132, 0.238833101010687, 0.177610526119132,          0.186322037460738, 0.235998227482853, 0.141204847242777,          0.190291125096353, 0.254565333705719, 0.377165028023417         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 1L,          0L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 0L, 1L, 5L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 4L, 8L, 3L, 5L, 6L,          4L, 8L, 9L, 9L, 8L, 6L, 5L, 6L, 3L, 5L, 3L, 3L, 8L, 1L         ), WITHIN_350M_BUS = c(9L, 8L, 14L, 7L, 11L, 12L, 9L,          14L, 15L, 15L, 12L, 14L, 16L, 14L, 7L, 7L, 8L, 9L, 9L,          2L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L),          DNeighbour = c(0, 98.3265152756857, 225.373615204651,          257.690808831548, 481.183548917605, 547.716588388901,          658.483317878794, 670.70389414326, 694.803550345479,          698.357332463735, 797.957029711314, 798.919211749854,          799.307676223746, 799.598514717922, 843.054458317097,          874.352921166289, 896.557889728005, 897.107585285429,          907.179040531579, 935.971335792684)), row.names = c("304",      "196", "383", "510", "387", "888", "711", "450", "959", "927",      "463", "566", "572", "490", "87", "806", "786", "995", "54",      "498"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.978049566779367,      0.88740096752212, 0.854144493296209, 0.541255133437556, 0.432382869069841,      0.255071901569458, 0.236686724608636, 0.201547040676472,      0.196504574967782, 0.0746208721198254, 0.073665731944393,      0.0732815295930999, 0.0729944178057796, 0.0356043866551377,      0.0162137542887318, 0.00679736266272867, 0.00661304611444242,      0.00366964386589763, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1414881720 
R squared (OOB):                  -0.1172842 

$Forests[[305]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(685000, 720000, 310000,      575000, 430000, 416000, 340000, 363000, 358000, 394000, 4e+05,      390000, 550000, 370000, 430000, 355000, 672000, 660000, 715000,      662000), floor_area_sqm = c(93, 93, 83.1, 101, 92, 91, 84,      84, 84, 102, 104, 84, 102, 84, 104, 84, 85, 85, 95, 95),          storey_order = c(2L, 3L, 3L, 6L, 2L, 4L, 1L, 4L, 3L,          2L, 2L, 1L, 3L, 3L, 2L, 3L, 5L, 3L, 6L, 3L), remaining_lease_mths = c(1142,          1143, 613, 932, 687, 713, 780, 780, 770, 769, 783, 783,          761, 777, 781, 782, 1042, 1032, 1099, 1093), PROX_CBD = c(6.19231755176043,          6.10189119169168, 5.99387263807515, 5.56255806753875,          5.17330173892321, 5.10609859014938, 6.73119135364588,          6.82164733234375, 6.82164733234375, 6.11041994069873,          6.8579883001408, 4.91139217141794, 6.04257091454572,          7.32999369210923, 7.27303659463988, 7.37752466520609,          6.58265946872266, 6.62545736407856, 6.06656257116635,          6.11286474740545), PROX_ELDERLYCARE = c(0.355678840187058,          0.230112759455232, 0.103488744511564, 0.0599829320550621,          0.151830290872251, 0.320090253923576, 0.709869492714774,          0.729511559050305, 0.729511559050305, 0.700949857098155,          0.650979480304367, 0.53976690699019, 0.548656319889636,          1.04617467786566, 0.949520652768775, 1.11141904944431,          0.129826558983194, 0.121758896932011, 0.516985202466339,          0.471592353212743), PROX_HAWKER = c(0.287310245845902,          0.193610514045812, 0.131941483902414, 0.248163252655802,          0.261285820740611, 0.333568708255903, 0.84617550022745,          0.834207881424508, 0.834207881424508, 0.917579692245523,          0.732876252375814, 0.526793317066312, 0.19523132016882,          1.00458194418859, 0.905159668549179, 1.06790139631185,          0.37361464573735, 0.33268573973532, 0.0900485470251793,          0.0855319563513606), PROX_MRT = c(0.3593423355956, 0.385901790532203,          0.422927302226303, 0.389634730949481, 0.568944969773001,          0.549226257235714, 0.447149108468339, 0.401668294921849,          0.401668294921849, 0.781870827245549, 0.479854345281657,          0.348715950460643, 0.448203274012385, 0.446590670593176,          0.477339162120678, 0.450606800129455, 0.288098631383321,          0.255638745600017, 0.530436532640755, 0.576684647572531         ), PROX_PARK = c(0.861129399478803, 0.835974869985028,          0.775542593632535, 0.136342453682232, 0.375618223612072,          0.534309547143458, 1.30601230217613, 1.33915084667526,          1.33915084667526, 0.263971642616293, 1.26891760289394,          0.454973393404149, 0.651264615899835, 1.30043300411079,          1.28136359713013, 1.30417314517193, 0.734858817801552,          0.741691321664553, 0.548254609843109, 0.517760851715104         ), PROX_GOOD_PRISCH = c(3.647323571983, 3.72727940395598,          3.79476022833587, 3.30515733544794, 3.5160560831601,          3.68539306501406, 2.67147237000904, 2.67483404440455,          2.67483404440455, 4.13214763824822, 2.57894825178105,          3.07957394860643, 2.14268529299874, 2.81856751915823,          2.72285479219865, 2.87682745937193, 2.10026546945211,          2.08436883673306, 2.03651743937875, 2.00772186702724),          PROX_MALL = c(1.22999734499907, 1.26544404340832, 1.29238059557114,          0.719385659919303, 0.96360119165526, 1.13513631747826,          0.894914409230097, 0.977306285381771, 0.977306285381771,          1.32133984316634, 0.985446043286547, 0.779372162435287,          0.264532440460292, 1.4733570331857, 1.40144317349524,          1.52964479685301, 0.712222885156031, 0.757747380414752,          0.365617038961166, 0.403935094648282), PROX_CHAS = c(0.255647811562625,          0.131092152612185, 3.57955945681819e-08, 0.174009235365936,          0.213267381067323, 0.37199840586913, 0.468632365618207,          0.389404577789016, 0.389404577789016, 0.235562548335707,          0.418063314797021, 0.297280152993809, 0.12619956254809,          0.100781853121145, 0.150676124399865, 0.123680988169118,          0.19769969897302, 0.152169077912936, 0.0929349198733403,          0.0679258481743644), PROX_SUPERMARKET = c(0.108411284353298,          0.0250108723026275, 0.147638600898363, 0.173881454941229,          0.266791583668656, 0.424647979009491, 0.541263540151477,          0.457775852816324, 0.457775852816324, 0.174913922147584,          0.471666412940503, 0.212061147632098, 0.178930757423705,          0.154588063793208, 0.216512452964216, 0.15284622075069,          0.255985378039003, 0.21094349839638, 0.0785030623714358,          0.0895469396191502), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 1L, 2L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L,          2L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 4L, 4L, 4L, 2L, 1L, 1L, 1L, 1L, 2L, 4L, 4L, 4L, 5L,          0L, 0L, 3L, 3L), WITHIN_350M_BUS = c(10L, 9L, 6L, 2L,          4L, 4L, 4L, 4L, 4L, 4L, 3L, 7L, 7L, 8L, 7L, 9L, 2L, 2L,          8L, 6L), WITHIN_1KM_PRISCH = c(1L, 2L, 2L, 3L, 3L, 3L,          2L, 2L, 2L, 1L, 2L, 2L, 1L, 3L, 3L, 3L, 2L, 2L, 1L, 1L         ), DNeighbour = c(0, 126.414925240105, 253.881050680722,          729.961366163025, 1043.77083249553, 1085.41589510723,          1166.35357897216, 1225.04187418072, 1225.69314181452,          1304.28981311267, 1328.32780477107, 1523.41692525835,          1532.62908438567, 1561.37257241089, 1570.20639329395,          1575.95803016914, 1611.52651380174, 1638.91457323102,          1642.02741613984, 1659.82820930843)), row.names = c("305",      "812", "752", "596", "270", "853", "529", "322", "46", "135",      "168", "251", "453", "187", "611", "948", "388", "841", "297",      "536"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.988432513261713,      0.953756143174253, 0.650591348396904, 0.365489013839144,      0.327609776412507, 0.256257911674458, 0.207277292577364,      0.206750112459286, 0.146322609212456, 0.129277247719358,      0.0248420937691765, 0.0217253046192208, 0.0132514742907551,      0.0110405132725821, 0.0097033617753498, 0.00328948161619639,      0.000627051821692251, 0.000455137167454439, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6588153283 
R squared (OOB):                  0.6909656 

$Forests[[306]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(720000, 705000, 640000,      640000, 350000, 345000, 450000, 440000, 375000, 516000, 435000,      420000, 548000, 335000, 370000, 588000, 439000, 430000, 408000,      670000), floor_area_sqm = c(91, 91, 90, 91, 92, 92, 92, 92,      92, 98, 98, 91, 95, 91, 92, 95, 97, 93, 91, 94), storey_order = c(3L,      3L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 3L, 4L, 3L,      3L, 3L, 3L, 6L), remaining_lease_mths = c(1079, 1097, 1095,      992, 714, 695, 679, 677, 695, 698, 692, 742, 981, 754, 699,      1025, 669, 728, 674, 1104), PROX_CBD = c(9.2692311101123,      9.2692311101123, 9.29204667907952, 9.30017281297198, 9.56457497404925,      8.46158045860266, 8.7589377611275, 8.7589377611275, 8.4016901584654,      8.70928269501252, 8.85689554561162, 8.31995738049774, 8.37940280964872,      8.32334928378694, 8.34406204250889, 8.51090417959469, 8.73211086874077,      8.20083785223568, 8.96374942103709, 8.58683984966127), PROX_ELDERLYCARE = c(0.751834464907999,      0.751834464907999, 0.771441336950035, 0.677643973897152,      1.08567795373645, 0.0854535518544851, 0.169235371196244,      0.169235371196244, 0.150390524199432, 0.119444653145476,      0.272187629818594, 0.259768432786295, 0.335901694998922,      0.163895949541214, 0.224798473876808, 0.120425912751251,      0.292319821872094, 0.41240614163537, 0.267188539522683, 0.203840329735754     ), PROX_HAWKER = c(0.13065395668809, 0.13065395668809, 0.172288624542473,      0.445284816601654, 0.44425153291851, 0.266645682444034, 0.330091511745513,      0.330091511745513, 0.205000896629144, 0.281172749103646,      0.446318851105742, 0.387410687724852, 0.203869560106314,      0.1672780527947, 0.308707066729857, 0.166697492306482, 0.436547444862961,      0.35604829505958, 0.393731145214296, 0.433030813326955),          PROX_MRT = c(0.513894886157587, 0.513894886157587, 0.459210746913958,          0.258716275079725, 1.06652131186481, 0.681495718287031,          0.338391484905848, 0.338391484905848, 0.747297636603152,          0.379410256905797, 0.372678744867538, 0.705543842504761,          0.62312262100292, 1.03738004469153, 1.14033242259394,          0.608243230971526, 0.600073719023998, 0.805467939952349,          0.71987240697712, 0.751078096441513), PROX_PARK = c(0.421166514654472,          0.421166514654472, 0.354651430366215, 0.166211588513849,          0.829152657918636, 0.773425606080498, 0.469340752260783,          0.469340752260783, 0.784786352249359, 0.513364518506117,          0.479885299937475, 0.517920409018535, 0.394842599629624,          0.839050716088865, 0.748901820021747, 0.368529270986479,          0.617507126900098, 0.393072899865764, 0.60552725382935,          0.52118662053352), PROX_GOOD_PRISCH = c(2.13343245969583,          2.13343245969583, 2.10961489740732, 1.82000438656186,          1.87441197950121, 1.4534383809239, 1.40615721612308,          1.40615721612308, 1.42922442943649, 1.35677240305411,          1.47413984574199, 1.20021801549651, 1.14854892992093,          1.6197212814627, 1.74338078296013, 1.13331232297991,          1.31940815963163, 1.04754826657838, 1.13785719900195,          1.16640042723588), PROX_MALL = c(0.655923636590071, 0.655923636590071,          0.591682371404957, 0.302826744416793, 1.18499732413142,          0.793630348518112, 0.264395031718586, 0.264395031718586,          0.856591768216477, 0.313890580083005, 0.241772845363545,          0.768764019555169, 0.651389947232486, 0.952850965311535,          0.813314037197816, 0.540250505232014, 0.469553394647833,          0.844084234929545, 0.480317195978648, 0.632538285087724         ), PROX_CHAS = c(0.0970531700661786, 0.0970531700661786,          0.116738661463474, 0.258750733988333, 0.358325278319411,          0.161491876005888, 0.0806835690144568, 0.0806835690144568,          0.14998683096932, 0.112175615725657, 0.157458356405151,          0.1066489590073, 0.11938167830482, 0.218034921212892,          0.347263729641395, 0.0869956868442428, 0.0664211666443358,          0.0460460495231756, 0.143131544605207, 0.237191200694799         ), PROX_SUPERMARKET = c(0.098601858754749, 0.098601858754749,          0.110756393825321, 0.378001630838772, 0.418420374852224,          0.128302570008396, 0.24726445439454, 0.24726445439454,          0.194600933367586, 0.221335227738319, 0.224853982916395,          0.284909088626731, 0.282093113359979, 0.502751024921131,          0.624544400837596, 0.0869967242830128, 0.350370254212894,          0.436961702644775, 0.181164390242962, 0.35437102597818         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 1L, 0L,          2L, 2L, 0L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 5L, 3L, 2L, 3L,          8L, 8L, 3L, 7L, 7L, 3L, 4L, 1L, 1L, 6L, 6L, 2L, 4L, 5L         ), WITHIN_350M_BUS = c(10L, 10L, 7L, 9L, 4L, 7L, 6L,          6L, 7L, 6L, 7L, 7L, 6L, 4L, 5L, 5L, 7L, 7L, 6L, 4L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L, 3L, 3L, 3L,          3L, 4L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L), DNeighbour = c(0,          9.44880542946849, 80.6708607017198, 364.649760744016,          558.854004873856, 809.477013664432, 840.794980853256,          842.038059339688, 866.74649087276, 878.935834577304,          886.67053570348, 979.57163408509, 990.770752732626, 1020.43412217177,          1062.51672914508, 1092.88523152986, 1115.44035261067,          1125.39141864359, 1231.22431783987, 1256.51492457667)), row.names = c("306",      "642", "191", "973", "197", "676", "194", "386", "682", "446",      "397", "716", "998", "713", "204", "94", "842", "79", "692",      "149"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999886906869579,      0.991773178205676, 0.838652537424972, 0.643499157851739,      0.342196331366597, 0.30496944543258, 0.303507803026942, 0.274757564150182,      0.260810089666033, 0.252050156401552, 0.153846745079765,      0.143078197203158, 0.115919730791347, 0.0811966530538651,      0.0592881108596383, 0.0449200125924533, 0.0391327043512333,      0.0015880259871726, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5463379482 
R squared (OOB):                  0.6622773 

$Forests[[307]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(582000, 450000, 515000,      310000, 440000, 330000, 470000, 680000, 445000, 315000, 638000,      538000, 515000, 446000, 520000, 550000, 480000, 418000, 409500,      545000), floor_area_sqm = c(104, 104, 110, 82, 93, 82, 84,      76, 84, 87, 105, 90, 103, 94, 107, 105, 94, 84, 84, 86),          storey_order = c(3L, 1L, 1L, 5L, 3L, 4L, 3L, 11L, 3L,          1L, 3L, 5L, 3L, 2L, 2L, 2L, 6L, 3L, 3L, 1L), remaining_lease_mths = c(935,          828, 859, 656, 759, 657, 813, 1071, 647, 633, 918, 995,          823, 723, 892, 786, 725, 804, 807, 1025), PROX_CBD = c(5.4901102241405,          5.12061996426338, 5.31333197008925, 5.9699685911294,          5.4791067318598, 6.06674643703895, 6.30150758144434,          5.17664618337401, 4.82546817648507, 5.88382015009973,          5.24252163748666, 4.4759193492502, 6.41432963568309,          4.45295385586978, 4.23142849537126, 6.4090346428634,          4.50933618399607, 4.20973993763024, 4.20973993763024,          5.19905620756448), PROX_ELDERLYCARE = c(0.157919913507301,          0.279354008399566, 0.301885421229742, 4.28110190953706e-07,          0.505585511375112, 0.10409496222889, 0.0580157957368266,          0.203403853153192, 0.401252043911139, 0.599695566252105,          0.232760622048558, 0.136621520737764, 0.101150617829923,          0.645271528549996, 0.272010492111063, 0.336883008423279,          0.665866395733666, 0.156291063754703, 0.156291063754703,          0.3148233892717), PROX_HAWKER = c(0.258924665495, 0.158729667464322,          0.15027253820603, 0.247906315943116, 0.736115689949186,          0.346985863757343, 0.511576723994062, 0.242990200436355,          0.33634581375869, 0.302293625820731, 0.316098981667774,          0.736355433757935, 0.639366917684312, 0.601904675681234,          0.392124905911543, 0.729024203622067, 0.665007751295857,          0.46881842734995, 0.46881842734995, 0.424686940189847         ), PROX_MRT = c(1.30755754576723, 1.12797954219589, 0.839256513816073,          1.03854772657135, 0.797555156120123, 1.1005845300218,          0.911216039334219, 0.347215067697513, 0.437510974512092,          0.37771060533367, 0.353807427048722, 0.930431293452388,          0.753240517287136, 0.66128766903618, 0.870814763860364,          0.631935879685516, 0.549595780709265, 0.750034220630686,          0.750034220630686, 0.253583166891469), PROX_PARK = c(0.803347187860442,          1.12857946410316, 0.919693677764514, 0.792968228054446,          0.728040918615253, 0.741200181243785, 0.950460734805334,          0.502895249788983, 0.386749503328341, 1.09766236241216,          0.540897442657821, 0.786607284590569, 0.941128983241434,          0.473457593144303, 0.989030190878471, 0.73120409495038,          0.353281501558379, 0.828179073128827, 0.828179073128827,          0.482110245392283), PROX_GOOD_PRISCH = c(2.45379201830723,          2.70116277997296, 2.32631552336422, 1.89588922913119,          2.93310132502147, 1.85819018299306, 1.50990256016426,          2.27859573799937, 2.65585299610189, 1.61186682958131,          2.20280244575696, 3.43096694593549, 1.35156641752108,          3.02211493728223, 3.47561641519302, 1.19038460547274,          2.94429219434277, 3.58178441884724, 3.58178441884724,          2.22494939608982), PROX_MALL = c(1.21674302842157, 1.02774547618649,          0.752077094160308, 1.25835483053691, 0.719613179783111,          1.22044581333525, 0.872189526609738, 0.285366785950761,          0.337875853585261, 0.966526596905427, 0.315823950773482,          1.02435160052226, 0.713954983197348, 0.570379319619026,          1.1888213641646, 0.56447134405004, 0.485349818185599,          1.26743973989934, 1.26743973989934, 0.31885342913617),          PROX_CHAS = c(0.233242749827373, 0.193072984237221, 0.111194343620761,          0.21461630683628, 0.0706483510319072, 0.252393584019624,          0.0940735950578242, 0.0737889624358689, 0.315432137833306,          0.256579842259861, 0.0731998871787336, 0.105578702221058,          0.15014885052256, 0.303272176186244, 0.106822211501606,          0.141339892509329, 0.331046161101227, 0.163154212627783,          0.163154212627783, 0.211748617283041), PROX_SUPERMARKET = c(0.37596142908425,          0.198191070641627, 0.370675298005651, 0.227231659318009,          0.0706487501399716, 0.321431524942613, 0.469210677159174,          0.177322353300672, 0.0907256678718214, 0.27867057765081,          0.266280670019211, 0.0670716613901785, 0.519047869620273,          0.34627255092781, 0.139079920157556, 0.360911693423373,          0.325943517329761, 0.118448079318654, 0.118448079318654,          0.199301193911681), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 0L, 0L, 0L, 2L, 1L, 0L, 1L, 3L, 0L, 2L, 0L, 2L,          0L, 0L, 1L, 1L, 4L), WITHIN_350M_CHILDCARE = c(3L, 4L,          3L, 2L, 2L, 2L, 4L, 7L, 2L, 4L, 5L, 2L, 4L, 1L, 6L, 5L,          1L, 3L, 3L, 6L), WITHIN_350M_BUS = c(10L, 9L, 12L, 8L,          3L, 6L, 7L, 9L, 8L, 8L, 10L, 5L, 7L, 6L, 7L, 9L, 5L,          7L, 7L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 2L,          5L, 4L, 4L, 2L, 4L, 4L, 3L, 3L, 1L, 2L, 3L, 0L, 3L, 3L,          3L), DNeighbour = c(0, 373.110576672703, 474.329186137091,          574.347235408431, 600.532331750853, 644.034930839827,          969.412078122819, 990.266952122181, 993.208027494047,          1015.84121894999, 1027.82304883961, 1070.61707223009,          1118.94557505004, 1246.38981039312, 1251.84386199786,          1266.67369929619, 1269.6404670935, 1297.26587084495,          1301.24928452922, 1350.66249447166)), row.names = c("307",      "646", "279", "920", "802", "628", "417", "897", "288", "201",      "472", "411", "114", "346", "849", "269", "622", "907", "382",      "533"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.853203220597008,      0.76855164118475, 0.67104978487421, 0.643705422070865, 0.596963586112619,      0.235091637073969, 0.213869133017998, 0.210921732408734,      0.188648393816206, 0.177168641944409, 0.138152728954245,      0.0983975310793275, 0.0220351056349252, 0.0198734796805469,      0.014520258985873, 0.0135432178988707, 0.00600693171840633,      0.00515961049080089, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6501418068 
R squared (OOB):                  0.3298476 

$Forests[[308]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(745000, 682000, 729999,      653000, 742000, 468888, 688000, 480000, 535000, 4e+05, 478000,      5e+05, 5e+05, 4e+05, 360000, 7e+05, 413888, 649888, 533000,      566888), floor_area_sqm = c(100, 100, 100, 91, 92, 92, 90,      92, 92, 104, 92, 91, 91, 92, 92, 95, 88, 87, 88, 88), storey_order = c(10L,      10L, 6L, 2L, 7L, 3L, 6L, 3L, 3L, 4L, 4L, 1L, 2L, 3L, 2L,      3L, 2L, 3L, 1L, 8L), remaining_lease_mths = c(1122, 1120,      1122, 1121, 1104, 701, 985, 692, 694, 745, 716, 690, 706,      708, 719, 1100, 668, 1103, 653, 650), PROX_CBD = c(9.28682806708392,      9.28682806708392, 9.41601606571959, 9.51816518584724, 9.57467117229508,      9.79963982832759, 9.84174458192399, 9.76973796844692, 9.76973796844692,      9.4187827620762, 9.58813304663833, 10.2183960492338, 10.2657373615824,      10.1748545259067, 10.2629321739313, 7.97001655790022, 7.88501742637481,      7.02256530608061, 6.92829321613491, 6.76124856282603), PROX_ELDERLYCARE = c(0.306248896776786,      0.306248896776786, 0.14515851054369, 0.0590206014568566,      0.0836678964153836, 0.390845215421192, 0.339166460968835,      0.487200680071974, 0.487200680071974, 0.579996323717894,      0.251441869005946, 0.670964346371623, 0.519949541574078,      0.889757070081441, 1.00265829049513, 0.682273370470252, 0.487583248392117,      0.467453442926814, 0.389684735109723, 0.20742531007413),          PROX_HAWKER = c(0.449541776391294, 0.449541776391294,          0.552624576950901, 0.5145461029689, 0.628838904549623,          0.315572935590663, 0.272020065995023, 0.323134910569429,          0.323134910569429, 0.508914568418093, 0.391674386653945,          0.161327078165055, 0.527790221924738, 0.304343114187016,          0.370496257898541, 0.840126401207934, 0.645875214067525,          0.207247650371579, 0.133504850959355, 0.171967883722699         ), PROX_MRT = c(0.819017740329599, 0.819017740329599,          0.796240617220745, 0.689820066215858, 0.731513991246432,          0.308409661615337, 0.348847208140378, 0.307725216106606,          0.307725216106606, 1.21403827268849, 0.707146681079003,          0.352113639571012, 0.351828842975553, 1.12559589355515,          1.21137251272603, 0.726942522279936, 0.707952731476156,          0.409658939160285, 0.407218977151475, 0.31120761671675         ), PROX_PARK = c(0.754667699158598, 0.754667699158598,          0.579398729399101, 0.506309566114581, 0.402026431996325,          0.556935587195362, 0.429024269124863, 0.692980820038259,          0.692980820038259, 0.633868788719276, 0.630094576064042,          0.412720152963846, 0.752867192571236, 0.326884491561474,          0.429817985649402, 0.618444971248099, 0.511064020035708,          0.380160428577633, 0.377410917604964, 0.273246118986377         ), PROX_GOOD_PRISCH = c(1.50498632547922, 1.50498632547922,          1.45792936689373, 1.35033962190844, 1.37880970746963,          0.97109568154285, 0.999365026226873, 0.945616550360875,          0.945616550360875, 1.8319493658717, 1.10432321767326,          0.778258345851083, 0.402201611323318, 1.53712936271762,          1.58756538029025, 2.78644315018514, 2.82520953766913,          2.07008813823767, 2.0639866413545, 1.9155109693321),          PROX_MALL = c(0.732362808464395, 0.732362808464395, 0.616886214909116,          0.508727078362918, 0.493679276753517, 0.277854565241424,          0.188176716989659, 0.3113714109904, 0.3113714109904,          0.308706652763352, 0.759347764163403, 0.1993183735571,          0.347570072991699, 0.493589384976364, 0.573348708551386,          0.66906173274608, 0.535655644340599, 0.395390786334096,          0.352244010010256, 0.191774654856939), PROX_CHAS = c(0.30624919123722,          0.30624919123722, 0.145158576319141, 0.0590210156667789,          0.0836673580931749, 0.213793078898363, 0.139131199666608,          0.164045702260751, 0.164045702260751, 0.308706623046814,          0.395290416984683, 0.176868193181362, 0.329846033180528,          0.118978706369709, 0.166187985395119, 0.195243012850588,          0.102679570293108, 0.278446199404133, 0.180332756228222,          0.19177461752976), PROX_SUPERMARKET = c(0.309780650655361,          0.309780650655361, 0.145877744762322, 0.0642147642973091,          0.0769150331708007, 0.217115292225756, 0.139131268426574,          0.329801606095394, 0.329801606095394, 0.31508799294366,          0.20799335196523, 0.245740902557878, 0.353445486406562,          0.371852561025965, 0.394772134126693, 0.169510705521186,          0.158953339299884, 0.0888694671696128, 0.0762755382886037,          0.113049768890948), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L,          1L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 1L, 2L, 4L, 4L, 3L, 3L, 4L, 2L, 6L, 4L, 3L, 1L, 0L,          1L, 3L, 5L, 4L), WITHIN_350M_BUS = c(7L, 7L, 8L, 7L,          7L, 11L, 9L, 11L, 11L, 3L, 7L, 6L, 10L, 8L, 7L, 7L, 5L,          10L, 7L, 8L), WITHIN_1KM_PRISCH = c(1L, 1L, 2L, 2L, 2L,          3L, 3L, 3L, 3L, 0L, 2L, 4L, 3L, 0L, 0L, 1L, 1L, 0L, 0L,          0L), DNeighbour = c(0, 7.56197304068479, 183.650998542224,          246.811803090541, 356.29932773757, 535.108159154202,          548.283916161588, 557.384901985646, 564.991335375519,          698.486370857542, 835.376511144614, 926.882100242109,          1133.7632453759, 1180.63817230896, 1289.91535158573,          1325.48722389501, 1411.60835474746, 2364.32464341497,          2436.18622616295, 2627.09712124694)), row.names = c("308",      "794", "928", "983", "551", "943", "268", "926", "68", "278",      "640", "584", "649", "245", "244", "904", "338", "221", "978",      "834"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999983429096476,      0.990250062111417, 0.982425266999364, 0.963550208970048,      0.918743717734438, 0.914783059695695, 0.911996174059285,      0.909635084751883, 0.863615371624642, 0.80799563444108, 0.766536698905066,      0.662191708369751, 0.636855949284624, 0.57595199759834, 0.555673214743316,      0.505919887060793, 0.036116343526889, 0.0196164934211464,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5303521990 
R squared (OOB):                  0.6711138 

$Forests[[309]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 432000, 393000,      438000, 425000, 435000, 432000, 431000, 448000, 440000, 438000,      430000, 450000, 420000, 425000, 358000, 395000, 323000, 441000,      456500), floor_area_sqm = c(93, 93, 93, 93, 94, 95, 92, 92,      96, 96, 94, 92, 94, 94, 94, 93, 94, 90, 93, 92), storey_order = c(1L,      5L, 2L, 4L, 5L, 6L, 6L, 7L, 9L, 7L, 5L, 6L, 7L, 7L, 6L, 1L,      4L, 1L, 6L, 8L), remaining_lease_mths = c(1134, 1138, 1134,      1132, 1083, 1105, 1137, 1138, 1110, 1108, 1076, 1126, 1119,      1120, 1119, 1103, 1113, 983, 1097, 1144), PROX_CBD = c(11.6526890235784,      11.7767430748854, 11.7767430748854, 11.710716376044, 11.8751655684431,      11.6071858552171, 11.9317097346946, 11.9317097346946, 11.5810624146691,      11.6053344020152, 11.9414743986494, 12.0797672032522, 12.0119641769274,      12.0119641769274, 11.9828723130509, 11.8075546541859, 11.9744040829633,      12.0200214112876, 11.8078122246038, 11.9527102757424), PROX_ELDERLYCARE = c(0.935812608446987,      0.813774711283767, 0.813774711283767, 0.893667704764373,      0.727329111385366, 1.02315858897206, 0.680106913101551, 0.680106913101551,      1.05973522725621, 1.04503450829128, 0.687500817542951, 0.550577233037288,      0.673044116243487, 0.673044116243487, 0.710325725805382,      0.922118515238085, 0.738781707341689, 0.618171206910468,      0.95260617550949, 0.819362766143575), PROX_HAWKER = c(0.34883542271072,      0.340776861445006, 0.340776861445006, 0.445365536494089,      0.145379780608352, 0.193888136950838, 0.161367564791002,      0.161367564791002, 0.226379932511381, 0.210992660312359,      0.147098227142532, 0.286867197183981, 0.222580914455278,      0.222580914455278, 0.20448046373977, 0.209140712961875, 0.217370340361849,      0.743318510800665, 0.262687630178652, 0.27814297307049),          PROX_MRT = c(0.28284034831035, 0.162476645519961, 0.162476645519961,          0.261259630709371, 0.191731142133254, 0.216093917824789,          0.214149342621172, 0.214149342621172, 0.233016580221366,          0.206803096961617, 0.183575431830776, 0.285059794417971,          0.201095784108649, 0.201095784108649, 0.170867756883987,          0.120215557602138, 0.167322140356011, 0.291532437270123,          0.173777829752023, 0.200702114351669), PROX_PARK = c(0.489736206412745,          0.615413214289157, 0.615413214289157, 0.569724311118431,          0.723512884628395, 0.521580333579447, 0.785212145526225,          0.785212145526225, 0.520771390450273, 0.554363925008431,          0.807374064658721, 0.747342190235743, 0.691047645736797,          0.691047645736797, 0.697136724289492, 0.747098338531098,          0.679906922269617, 0.871053837980522, 0.746013140888617,          0.643017670933737), PROX_GOOD_PRISCH = c(1.91178525383739,          2.03585243074848, 2.03585243074848, 1.9723226064342,          2.14229157607785, 1.89230283405924, 2.20126444296921,          2.20126444296921, 1.87254500118751, 1.90056431650247,          2.21615815400514, 2.35145083667271, 2.29976812492723,          2.29976812492723, 2.27447890050516, 2.12338877581429,          2.27223739349538, 2.31713852475231, 2.13533890725473,          2.270018309959), PROX_MALL = c(0.427385274755512, 0.437539575450179,          0.437539575450179, 0.535719768985538, 0.249449426365425,          0.173810560938293, 0.255684281538694, 0.255684281538694,          0.185878129611589, 0.158081786709397, 0.22663965361209,          0.356578632219481, 0.251262654177611, 0.251262654177611,          0.220402811054307, 0.119447773727589, 0.214069216816763,          0.859289251142989, 0.17025857997445, 0.232344363503357         ), PROX_CHAS = c(0.225869963934761, 0.108183414657245,          0.108183414657245, 0.215330181794506, 0.179410689617013,          0.173810611614792, 0.203726500797623, 0.203726500797623,          0.185878170229198, 0.158081821824728, 0.156140837156126,          0.146949814741425, 0.131248018016709, 0.131248018016709,          0.0995919009989899, 0.11944771257822, 0.0939357367291076,          0.310908028614088, 0.170258520163124, 0.146038815472653         ), PROX_SUPERMARKET = c(0.225911825558638, 0.108294583955479,          0.108294583955479, 0.215506457059651, 0.179159947933279,          0.1671684124578, 0.217804588957955, 0.217804588957955,          0.177355035948325, 0.148884454693003, 0.236998053946951,          0.315486318912089, 0.261515416493987, 0.261515416493987,          0.230351837454113, 0.119571834445138, 0.22318738818849,          0.507879796624066, 0.168966076328732, 0.237998550380205         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 0L,          1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 2L, 7L, 4L,          6L, 6L, 4L, 4L, 6L, 5L, 6L, 6L, 6L, 4L, 7L, 1L, 4L, 5L         ), WITHIN_350M_BUS = c(4L, 4L, 4L, 2L, 6L, 6L, 8L, 8L,          7L, 8L, 8L, 9L, 6L, 6L, 7L, 10L, 10L, 6L, 11L, 12L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L), DNeighbour = c(0,          123.275393672545, 123.580823907092, 130.778382707486,          294.613376248168, 329.091258491679, 356.447542122827,          359.089994171413, 374.172507172389, 389.083441595031,          398.999792967652, 496.652451425206, 523.262934046975,          523.662382589855, 528.85664830086, 540.975544961688,          551.619600548726, 594.91608465407, 597.45442094618, 616.342656159408         )), row.names = c("309", "325", "939", "384", "250",      "922", "392", "613", "182", "158", "781", "900", "947", "167",      "203", "724", "858", "909", "439", "749"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.921591448768224, 0.921210412810433, 0.911982447935478,      0.595233140914872, 0.511090434649837, 0.442940813988022,      0.436340403859664, 0.398726014762321, 0.36178820850389, 0.337463613248204,      0.122974432688493, 0.0779705136770711, 0.0773569348753736,      0.0695585383167885, 0.0527206070680796, 0.0395992298206745,      0.00466756435584903, 0.00364238657646982, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       843689761 
R squared (OOB):                  0.2410073 

$Forests[[310]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(575000, 585000, 540000,      417000, 565000, 658000, 435000, 615000, 440000, 410000, 380000,      412000, 435000, 420000, 390000, 428888, 415000, 438000, 447000,      376888), floor_area_sqm = c(93, 93, 93, 99, 93, 84, 99, 84,      100, 100, 104, 103, 100, 104, 104, 84, 84, 104, 107, 104),          storey_order = c(5L, 4L, 4L, 3L, 6L, 3L, 2L, 2L, 3L,          3L, 1L, 4L, 4L, 2L, 1L, 3L, 3L, 2L, 3L, 3L), remaining_lease_mths = c(1133,          1142, 1142, 914, 1127, 1120, 928, 1122, 911, 915, 924,          918, 924, 922, 809, 774, 782, 812, 782, 810), PROX_CBD = c(12.4342034244884,          12.454441113408, 12.5378737745647, 12.2815153207229,          12.4937468159193, 12.4891302242583, 12.2106818490232,          12.3801819754074, 12.2087069526051, 12.2087069526051,          12.0301392517655, 11.9871965659798, 12.114386347938,          11.8892341343185, 11.7882471009294, 12.8776183162857,          12.8776183162857, 11.7215458353159, 11.7840832214562,          11.622690560426), PROX_ELDERLYCARE = c(0.678867196986192,          0.717258387107597, 0.76025522927712, 0.513657423159811,          0.714783075399861, 0.707031754326944, 0.442541563379791,          0.738453704244922, 0.434858408662556, 0.434858408662556,          0.255083942589415, 0.210296865683283, 0.421163091926404,          0.110349805405523, 0.114277277444971, 0.211786543917104,          0.211786543917104, 0.240093333498969, 0.481333190444255,          0.175524774720266), PROX_HAWKER = c(0.504612881494125,          0.459376407452819, 0.672948721825079, 0.52278816815954,          0.680821394190482, 0.384467206049481, 0.524204307723605,          0.261296216065877, 0.692592935098248, 0.692592935098248,          0.598391326300702, 0.625285574708341, 0.885134801830427,          0.684056106771311, 0.647051853283446, 0.677647820815747,          0.677647820815747, 0.609281739536534, 0.436117874461739,          0.783966268147895), PROX_MRT = c(0.586933783104383, 0.518913352820399,          0.707305973375369, 0.703998835661039, 0.743366527772832,          0.38468199977318, 0.743103019894999, 0.367154517888221,          0.89623888155871, 0.89623888155871, 0.885297742933312,          0.923336133969517, 1.10882075300419, 1.00424261648768,          1.00317447086964, 0.301948361527339, 0.301948361527339,          0.989064774064853, 0.81394482428473, 1.15515804744233         ), PROX_PARK = c(0.628391467794767, 0.580711209690395,          0.628331945846246, 0.796788171077343, 0.683130710636032,          0.50651752093578, 0.863487882808023, 0.605799570777928,          0.954913184146477, 0.954913184146477, 1.04875150887626,          1.09395352284574, 1.14970360230785, 1.19263079577799,          1.24877122811849, 0.246982674114576, 0.246982674114576,          1.28416187507733, 1.20101103678102, 1.41684131410086),          PROX_GOOD_PRISCH = c(1.01367306567257, 0.990054087408291,          1.17951788917503, 0.952579960345566, 1.16886515239787,          0.94986022590219, 0.91368762909787, 0.823417580851307,          1.04944877580977, 1.04944877580977, 0.860616187528585,          0.855677549512306, 1.17061030478036, 0.842915880539328,          0.713901761199557, 1.22334421357001, 1.22334421357001,          0.585140695782779, 0.357669915539773, 0.733057242670121         ), PROX_MALL = c(0.600548053404267, 0.549832225559512,          0.766094086501437, 0.630705874818675, 0.778202426893423,          0.458049841664737, 0.634332011832188, 0.344173235497563,          0.802829369116586, 0.802829369116586, 0.707201836140707,          0.732793638615111, 0.995792127022496, 0.787722851944232,          0.741052769880115, 0.503182159926002, 0.503182159926002,          0.690287469384684, 0.489619370966043, 0.868993594299523         ), PROX_CHAS = c(0.134041173915956, 0.134313038880304,          0.187116592266412, 0.0753088652692227, 0.147744885974614,          3.00974727266337e-08, 0.140964983635816, 0.126495411341712,          0.0852358826892552, 0.0852358826892552, 0.202915262499126,          0.171681037809818, 0.138740180982893, 0.124859952031804,          0.0554870656895364, 0.128785172156574, 0.128785172156574,          0.164718468919614, 0.0667093090499658, 0.151742844958785         ), PROX_SUPERMARKET = c(0.543693418915242, 0.499432454100223,          0.707597649659388, 0.448534184110051, 0.667447252804164,          0.425107542879533, 0.377835654599335, 0.30203349112312,          0.414959148864982, 0.414959148864982, 0.20670525505664,          0.172282484091702, 0.459680111992834, 0.114394571204967,          0.0453848138423891, 0.17067511852319, 0.17067511852319,          0.169255457402684, 0.379080894647373, 0.151741730066283         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 0L, 1L, 0L, 2L,          1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 0L, 0L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 5L, 6L, 4L, 2L,          5L, 3L, 5L, 5L, 5L, 5L, 1L, 8L, 8L, 1L, 1L, 6L, 3L, 7L         ), WITHIN_350M_BUS = c(12L, 11L, 11L, 12L, 11L, 10L,          11L, 8L, 11L, 11L, 7L, 6L, 8L, 9L, 9L, 12L, 12L, 10L,          7L, 8L), WITHIN_1KM_PRISCH = c(1L, 3L, 1L, 2L, 1L, 5L,          2L, 4L, 1L, 1L, 2L, 2L, 1L, 2L, 3L, 4L, 4L, 3L, 4L, 2L         ), DNeighbour = c(0, 68.4189307680066, 163.187275798092,          169.264277410364, 177.122255008295, 199.671959068312,          244.118612910774, 266.823671993085, 338.548827537029,          338.933024273929, 425.787553149434, 479.132863635308,          544.587886983744, 578.96385847995, 650.82569012898, 680.069478489432,          683.510682296369, 719.318785077414, 732.112745011087,          820.541281422362)), row.names = c("310", "641", "343",      "362", "24", "505", "42", "315", "410", "680", "727", "689",      "707", "148", "508", "892", "259", "625", "340", "750"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.98614299712282, 0.92245978946566, 0.916704838648043, 0.908979850414662,      0.885076017595667, 0.830810833893431, 0.799697230254709,      0.688514572126333, 0.687873161943768, 0.533968976443396,      0.434325839238942, 0.313052540453011, 0.2521505632476, 0.137557333308708,      0.0980195454702031, 0.093704199303068, 0.0535938379946298,      0.0415845992602795, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1607982294 
R squared (OOB):                  0.7811332 

$Forests[[311]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(422000, 460000, 440000,      460000, 458888, 450000, 455000, 485000, 475000, 510000, 430000,      468000, 420000, 426888, 452000, 390000, 425000, 382000, 323000,      403500), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 95,      92, 92, 92, 92, 92, 92, 92, 90, 92, 86, 90, 90), storey_order = c(2L,      5L, 2L, 3L, 4L, 3L, 4L, 5L, 2L, 5L, 1L, 4L, 2L, 1L, 2L, 5L,      4L, 2L, 1L, 5L), remaining_lease_mths = c(1132, 1136, 1136,      1137, 1130, 1136, 1136, 1141, 1126, 1133, 1134, 1124, 1139,      1141, 1133, 978, 988, 989, 983, 965), PROX_CBD = c(12.6523002899419,      12.5778468618744, 12.6445046545469, 12.6444338023734, 12.6444338023734,      12.6444338023734, 12.5530445309639, 12.8190940082697, 12.6532888174316,      12.8180148044036, 12.5852639843962, 12.5372560863306, 12.4951121122816,      12.5841594105866, 12.8941535537835, 12.4059518996545, 12.1902934701837,      12.3082954752684, 12.0200214112876, 12.0682850666201), PROX_ELDERLYCARE = c(0.17445131765005,      0.25879478544564, 0.316798451576888, 0.0933099122535032,      0.0933099122535032, 0.0933099122535032, 4.52036057904239e-07,      0.268492105828742, 0.373604611296459, 0.265081039187363,      0.3637938018331, 0.066903342124331, 0.0780281999502717, 0.419823195233641,      0.346816364720296, 0.404564014080405, 0.362754738306624,      0.583230122785789, 0.618171206910468, 0.36227142211874),          PROX_HAWKER = c(0.228019105088385, 0.361759384229333,          0.385855619963418, 0.0943584031018698, 0.0943584031018698,          0.0943584031018698, 0.183834631869038, 0.146347761938812,          0.440383933038266, 0.116173376637396, 0.45815519033126,          0.184899994018696, 0.227760265989261, 0.512822421809829,          0.172433027954251, 0.551023632791116, 0.536726116414185,          0.732610931237137, 0.743318510800665, 0.732401821736703         ), PROX_MRT = c(0.189124878414716, 0.325317058740364,          0.290856617513635, 0.135663244459145, 0.135663244459145,          0.135663244459145, 0.225183269009929, 0.0524349257152741,          0.24828698655044, 0.0414043955932523, 0.305105021876954,          0.250680884626282, 0.288636635543175, 0.285300897266269,          0.133852264483784, 0.467412150427879, 0.364194860258715,          0.348338435446781, 0.291532437270123, 0.353072027979069         ), PROX_PARK = c(0.76865606278053, 0.898636927133822,          0.927332929158558, 0.61385987529272, 0.61385987529272,          0.61385987529272, 0.665189387379371, 0.639036828502152,          0.981635622560504, 0.594833919624026, 0.998305920751222,          0.614568616662392, 0.64692671777276, 1.05356492524152,          0.541994755536806, 1.06942514246801, 0.883674706708426,          1.248380402738, 0.871053837980522, 1.2554933111164),          PROX_GOOD_PRISCH = c(3.02962689364369, 2.98751376551561,          3.06407026512831, 2.98554640042679, 2.98554640042679,          2.98554640042679, 2.90013878468328, 3.16783392704602,          3.08870420529617, 3.15789060893291, 3.02473222579279,          2.87119716545371, 2.83249303987555, 3.04090040576321,          3.22227453062783, 2.85954585658161, 2.54749739008747,          2.82059786507503, 2.31713852475231, 2.66094910730305),          PROX_MALL = c(0.680457081346124, 0.550769417999913, 0.525247230278188,          0.835997866672575, 0.835997866672575, 0.835997866672575,          0.801147315442336, 0.842111664425906, 0.475487624694748,          0.881741038155881, 0.450387082903272, 0.863947607104433,          0.848059510883206, 0.39575302739997, 0.965068597681967,          0.423524868376446, 0.835543217968543, 0.312386349772529,          0.859289251142989, 0.424043071559413), PROX_CHAS = c(0.162820120107843,          0.236995708134403, 0.312339613016365, 0.102096070463208,          0.102096070463208, 0.102096070463208, 0.0780281620295796,          0.0812086980787344, 0.362882313204726, 0.0772642002388838,          0.324614821605945, 0.0439945201117045, 3.19858778746232e-08,          0.369996201265779, 0.115846127710365, 0.187639553192951,          0.167384851183216, 0.200650927390068, 0.310908028614088,          0.0850792531740411), PROX_SUPERMARKET = c(0.162819600148508,          0.299832635957983, 0.312339147167174, 0.102095775430648,          0.102095775430648, 0.102095775430648, 0.189775839444753,          0.0812089624400091, 0.36465940083402, 0.0772646744727167,          0.389269910824952, 0.218453608018692, 0.255060837787685,          0.385003628727568, 0.115845823699909, 0.375814638453933,          0.552359009160243, 0.200651971059786, 0.507879796624066,          0.0850782630125017), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 0L, 1L,          0L, 2L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(6L, 5L,          5L, 7L, 7L, 7L, 7L, 7L, 5L, 6L, 4L, 6L, 5L, 4L, 5L, 4L,          3L, 4L, 1L, 5L), WITHIN_350M_BUS = c(11L, 8L, 11L, 10L,          10L, 10L, 11L, 9L, 11L, 9L, 11L, 10L, 10L, 10L, 6L, 10L,          12L, 8L, 6L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 4L, 5L, 3L, 5L, 3L,          6L, 4L, 7L), DNeighbour = c(0, 136.974256554955, 157.563784617847,          159.065755120989, 160.266425555627, 165.717794993131,          174.715901655342, 199.420435134221, 218.148372662354,          225.957796745384, 230.667039162621, 235.125870615361,          246.633844369518, 282.265123041248, 316.346754203154,          340.734621352468, 478.659335803466, 514.8848348833, 777.275535234506,          795.322123945428)), row.names = c("311", "355", "144",      "92", "807", "166", "764", "44", "759", "115", "180", "672",      "791", "868", "371", "138", "783", "231", "909", "860"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.941556981293928, 0.923042816674606, 0.921598715364772,      0.920435274879679, 0.915052498414152, 0.905810841839822,      0.878209996490796, 0.85519097724052, 0.845080030117086, 0.838841251219976,      0.832837557639725, 0.816916833945484, 0.763948122004038,      0.708606290041908, 0.666596115862218, 0.406769164622014,      0.337426408434558, 0.00201304385636756, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1156041448 
R squared (OOB):                  0.3233879 

$Forests[[312]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(645000, 357000, 312000,      355000, 428000, 320000, 295000, 380000, 395000, 342000, 4e+05,      365000, 420000, 365000, 335000, 345000, 460000, 465000, 455000,      330000), floor_area_sqm = c(91, 104, 104, 94, 98, 99, 99,      90, 107, 94, 97, 105, 104, 95, 90, 92, 105, 106, 106, 107     ), storey_order = c(8L, 3L, 2L, 1L, 3L, 2L, 1L, 7L, 2L, 1L,      1L, 2L, 4L, 1L, 1L, 2L, 4L, 2L, 4L, 3L), remaining_lease_mths = c(1124,      844, 828, 1071, 730, 736, 730, 985, 755, 747, 734, 771, 774,      735, 731, 742, 770, 933, 933, 776), PROX_CBD = c(14.8760787686193,      15.1925589930818, 15.1925589930818, 15.3735649652411, 14.0949321583848,      13.0062996581569, 13.0062996581569, 13.0015179461712, 15.936744569076,      13.7770670669378, 13.4040436118709, 14.8222691165004, 15.0460728336845,      13.3652677077184, 13.8901285505698, 13.8901285505698, 15.1689870500438,      17.1401277939721, 17.1634204962367, 16.4773488158513), PROX_ELDERLYCARE = c(0.68142631506584,      0.485996598795361, 0.485996598795361, 0.0572763643156628,      1.07365166923746, 2.38777651439997, 2.38777651439997, 2.41293236098656,      0.526555480516014, 0.919307603677702, 0.954835536666776,      0.151522520392741, 0.0734543941007858, 0.876024529291782,      0.540311266279695, 0.540311266279695, 0.235447740717014,      0.586863575497558, 0.565792923614884, 0.393080972860029),          PROX_HAWKER = c(0.74974565017819, 0.787542750423298,          0.787542750423298, 0.371848396937832, 0.516176882783883,          0.353572407863602, 0.353572407863602, 0.351298271738361,          0.44834457013621, 0.478671478091809, 0.780321580506598,          0.189112683951821, 0.321243604465073, 0.775887609068758,          0.213123049695643, 0.213123049695643, 0.493984449855749,          0.685044657792881, 0.666841975849823, 0.170796598263111         ), PROX_MRT = c(1.79130926962811, 1.85503706760258, 1.85503706760258,          0.753708157385654, 0.499812381699912, 1.27898935828478,          1.27898935828478, 1.33144343213696, 0.239432195714991,          0.771349314593772, 0.515309591544804, 0.506610369321483,          0.667161579318597, 0.585785046275015, 0.793013171832836,          0.793013171832836, 0.840089990200814, 0.418422993771755,          0.463116738810145, 0.826410504821953), PROX_PARK = c(1.13853863936216,          1.41855585272788, 1.41855585272788, 0.535685352466539,          0.62523741493865, 1.09068530070835, 1.09068530070835,          1.07883678308045, 0.747611444367071, 0.941140572803456,          1.22140134317452, 1.20591145519053, 1.32178658469093,          1.30724345285799, 1.23128896715218, 1.23128896715218,          1.48925201971724, 0.454841043819919, 0.505224516024672,          1.2054653508424), PROX_GOOD_PRISCH = c(4.21930918110887,          4.5504124031687, 4.5504124031687, 4.72825571795328, 3.57828936266804,          2.37986575446387, 2.37986575446387, 2.38441646582032,          5.39194564581962, 3.3146343023011, 2.95770979509606,          4.44405903659268, 4.66454637236311, 2.95461231779958,          3.56420611596829, 3.56420611596829, 4.81784539373378,          6.48254224033906, 6.50789265243056, 5.97835326648125),          PROX_MALL = c(0.829646558484038, 0.816582289717011, 0.816582289717011,          0.408391974099547, 0.812049880186, 1.26979124568258,          1.26979124568258, 1.32151107168067, 0.942416713928675,          0.672803550263317, 0.412160376682232, 1.74752862756084,          1.83033637772351, 0.473263954532778, 1.05377974643614,          1.05377974643614, 1.93173107331603, 0.306862579253759,          0.353588302636786, 0.76724723438711), PROX_CHAS = c(0.426635940266524,          0.0584110846116202, 0.0584110846116202, 0.289984207596008,          0.135156069731972, 0.178755496827681, 0.178755496827681,          0.185431787540406, 0.145251548786172, 0.0886717393158711,          0.240863562772424, 0.191193294854487, 0.0544168696099871,          0.179342279988699, 0.0812638133573676, 0.0812638133573676,          0.22714457633909, 0.133156315003352, 0.171584438209325,          0.09463300161804), PROX_SUPERMARKET = c(0.341487242626205,          0.515584409426496, 0.515584409426496, 0.406388098650168,          0.352618767904154, 0.178755398427066, 0.178755398427066,          0.185431698278212, 0.434198104817495, 0.334979160094168,          0.422907964790702, 0.188017328828043, 0.286721618184596,          0.487840963146543, 0.082811926566736, 0.082811926566736,          0.459690883388295, 0.27639551573194, 0.320581809168482,          0.108262733037825), WITHIN_350M_KINDERGARTEN = c(2L,          0L, 0L, 2L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 2L, 1L, 1L, 3L), WITHIN_350M_CHILDCARE = c(6L, 4L,          4L, 4L, 1L, 4L, 4L, 4L, 2L, 3L, 5L, 2L, 1L, 6L, 4L, 4L,          1L, 3L, 4L, 6L), WITHIN_350M_BUS = c(10L, 11L, 11L, 12L,          9L, 7L, 7L, 10L, 7L, 10L, 6L, 6L, 5L, 6L, 4L, 4L, 4L,          7L, 8L, 9L), WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 1L, 2L,          0L, 0L, 0L, 4L, 2L, 2L, 2L, 1L, 2L, 4L, 4L, 2L, 4L, 4L,          3L), DNeighbour = c(0, 380.095188563584, 381.060731919811,          1038.83343569424, 1747.68896128528, 1877.1809378881,          1881.67770061462, 1889.7405363481, 2023.19317631422,          2024.92154761959, 2217.74856475996, 2218.90740093616,          2264.81200046702, 2318.47729532814, 2363.96606796275,          2365.54929940356, 2403.52926840387, 2408.20519599012,          2436.54560600997, 2599.7826250201)), row.names = c("312",      "104", "589", "601", "25", "412", "445", "45", "423", "337",      "757", "64", "256", "238", "90", "214", "739", "530", "991",      "107"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.957706452606066,      0.957493641930584, 0.706157944752831, 0.300400069305572,      0.229095687577814, 0.22670796261774, 0.222443884672522, 0.155535121968311,      0.154719686366319, 0.0741489645534971, 0.0737352705398406,      0.0581244169615432, 0.0419016115626294, 0.0299930072423173,      0.0296105035290256, 0.0211057695650683, 0.020149629352177,      0.0147950765202028, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9250351793 
R squared (OOB):                  -0.5044705 

$Forests[[313]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(369988, 365000, 330000,      385000, 405000, 398888, 385000, 370000, 353000, 345000, 370000,      356888, 390000, 425000, 350000, 370000, 374000, 375000, 378888,      330000), floor_area_sqm = c(91, 91, 85, 93, 93, 93, 93, 93,      93, 85, 90, 91, 100, 92, 91, 90, 94, 90, 90, 91), storey_order = c(4L,      5L, 4L, 4L, 6L, 6L, 5L, 3L, 1L, 6L, 2L, 5L, 6L, 3L, 1L, 3L,      3L, 4L, 6L, 3L), remaining_lease_mths = c(1002, 993, 992,      1138, 1138, 1127, 1140, 1127, 1136, 968, 1016, 963, 942,      1059, 992, 997, 987, 986, 949, 951), PROX_CBD = c(13.2138793761114,      13.2138793761114, 13.0825190214061, 12.9439612539798, 12.9439612539798,      12.9439612539798, 12.9599687546274, 12.9599687546274, 12.9273038019752,      13.131637538161, 13.0393088300804, 13.1584578321731, 12.9172885276263,      13.6873856248974, 12.6773565587662, 13.5299248791723, 13.4804039164095,      13.5741440973944, 12.4403773011877, 12.402570085049), PROX_ELDERLYCARE = c(0.200446926946864,      0.200446926946864, 0.120371550198491, 0.119102012768026,      0.119102012768026, 0.119102012768026, 0.230213196902471,      0.230213196902471, 0.250608726248769, 0.425459762987539,      0.38924985743242, 0.528614390300154, 0.440978457512705, 0.720975229682918,      0.36284597954094, 0.737190256849548, 0.746393599063579, 0.759293685927778,      0.624054710630084, 0.628872951670854), PROX_HAWKER = c(1.87231067409155,      1.87231067409155, 1.90213677974947, 2.07494386608678, 2.07494386608678,      2.07494386608678, 2.16699861471209, 2.16699861471209, 2.14952956067865,      1.67102672130552, 1.75849952292251, 1.59466084315792, 1.76689210194785,      1.83406121528111, 1.72249172765999, 1.28441999759135, 1.28815813567136,      1.13978469441664, 1.46996215979098, 1.50745216628998), PROX_MRT = c(0.348476568009787,      0.348476568009787, 0.30821900832469, 0.464899886897548, 0.464899886897548,      0.464899886897548, 0.576831878931421, 0.576831878931421,      0.585364307317434, 0.197259382412543, 0.103022581922205,      0.258879114766752, 0.0642144868642362, 0.19923660487806,      0.142163643631393, 0.189597864599581, 0.26513727845816, 0.147719870982538,      0.140157494228817, 0.198968515523371), PROX_PARK = c(0.701388397724732,      0.701388397724732, 0.557623544885242, 0.700809394437081,      0.700809394437081, 0.700809394437081, 0.828547076231476,      0.828547076231476, 0.834972281659159, 0.350705699368152,      0.291844359651056, 0.332476768251147, 0.18581491955197, 0.855123415409032,      0.484105342641425, 0.695004999747215, 0.640650351334918,      0.739375101722708, 0.525489875872169, 0.61879465488716),          PROX_GOOD_PRISCH = c(4.43819501492863, 4.43819501492863,          4.27923006279343, 4.27162250172191, 4.27162250172191,          4.27162250172191, 4.35761410397793, 4.35761410397793,          4.33782029579385, 4.16094245740848, 4.09066115622083,          4.13557899544262, 3.96344124390297, 4.98236347160825,          3.92066991749349, 4.45977917937361, 4.38951064564596,          4.41976113712118, 3.6640626331803, 3.69141799128789),          PROX_MALL = c(0.411800643307333, 0.411800643307333, 0.482494809972804,          0.646092130793046, 0.646092130793046, 0.646092130793046,          0.630320880177991, 0.630320880177991, 0.664096204002356,          0.249640338015364, 0.199839805040887, 0.231810009894563,          0.125441786165087, 0.138188079312201, 0.485078273736912,          0.598877544697789, 0.548104683226502, 0.656440732478167,          0.37643645467035, 0.407881748949563), PROX_CHAS = c(0.186991486151685,          0.186991486151685, 0.1115602293269, 0.136400058110832,          0.136400058110832, 0.136400058110832, 0.256311352337612,          0.256311352337612, 0.273668945808659, 0.23569948169583,          0.19843851708658, 0.20604200841638, 0.146232137849481,          0.138188055488585, 0.334175310205776, 0.124645472322039,          0.196586841411628, 0.175269995719201, 0.376436475429729,          0.407881782403473), PROX_SUPERMARKET = c(0.40197012970004,          0.40197012970004, 0.482493892596986, 0.636728053790567,          0.636728053790567, 0.636728053790567, 0.621743565428055,          0.621743565428055, 0.655577492568061, 0.249639808314143,          0.199839014107547, 0.231809873410795, 0.125440795942109,          0.147450463248511, 0.485077395132212, 0.181636181040517,          0.253358431108118, 0.3594639622224, 0.426522673463594,          0.451295114828249), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 2L, 1L, 2L, 1L, 1L,          4L, 3L, 2L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L,          7L, 4L, 4L, 4L, 3L, 3L, 3L, 5L, 8L, 6L, 9L, 6L, 8L, 5L,          5L, 6L, 4L, 3L), WITHIN_350M_BUS = c(2L, 2L, 4L, 3L,          3L, 3L, 3L, 3L, 3L, 7L, 7L, 7L, 9L, 7L, 13L, 8L, 9L,          10L, 11L, 9L), WITHIN_1KM_PRISCH = c(6L, 6L, 5L, 4L,          4L, 4L, 4L, 4L, 4L, 7L, 7L, 7L, 7L, 5L, 4L, 6L, 5L, 9L,          4L, 4L), DNeighbour = c(0, 5.16213866917425, 156.218738318595,          289.690333992854, 290.446077825497, 292.958630011387,          343.844906017002, 347.285764239909, 377.49646056748,          412.54120572567, 421.268223931349, 501.324169807398,          519.448757475232, 545.39844393016, 552.689688677498,          604.034190777088, 634.778348380472, 791.194695492124,          811.708483414656, 824.072391040654)), row.names = c("313",      "474", "886", "732", "882", "936", "95", "990", "462", "153",      "141", "339", "887", "4", "400", "165", "72", "15", "444",      "80"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999921521610913,      0.92941847249325, 0.768117458140408, 0.766986210123347, 0.763210118383477,      0.682113663942618, 0.676341576516143, 0.62434766225454, 0.561580578748104,      0.545635674312543, 0.396787458581032, 0.36320744801135, 0.315817983743817,      0.302705742684094, 0.21411936804728, 0.165361405762999, 0.00611547182788141,      0.000886952370663791, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       462189271 
R squared (OOB):                  0.1815787 

$Forests[[314]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 380000, 430000,      367000, 360000, 410000, 362500, 430000, 448000, 405000, 450000,      415000, 390000, 395000, 420000, 405000, 393000, 455000, 412000,      425000), floor_area_sqm = c(106, 107, 107, 104, 84, 106,      103, 104, 116, 104, 106, 103, 109, 106, 112, 105, 103, 113,      104, 104), storey_order = c(1L, 2L, 4L, 1L, 3L, 2L, 3L, 2L,      3L, 2L, 4L, 3L, 1L, 2L, 4L, 3L, 2L, 5L, 2L, 2L), remaining_lease_mths = c(887,      871, 868, 879, 811, 871, 819, 861, 827, 862, 834, 834, 889,      834, 866, 856, 818, 824, 878, 801), PROX_CBD = c(15.0291078847704,      15.2330821453909, 15.2985874116244, 14.66420827852, 14.7472020389823,      15.428944563277, 14.3801998083441, 15.4019609662575, 15.1039483662242,      15.4019609662575, 15.1256206124729, 15.1256206124729, 14.7712425946156,      15.1256206124729, 15.3605597168545, 15.3605597168545, 14.8805910833212,      14.8805910833212, 14.1313829663274, 13.9224032790502), PROX_ELDERLYCARE = c(1.09928331705025,      1.22808745848404, 1.41400995500373, 0.719957479461771, 1.19052284520552,      1.63977306379889, 0.709377020411434, 1.7026350967472, 1.55233595008815,      1.7026350967472, 1.5866097118695, 1.5866097118695, 0.729534612359916,      1.5866097118695, 1.7630974884403, 1.7630974884403, 1.53481387371296,      1.53481387371296, 0.836104821253693, 0.160860892679658),          PROX_HAWKER = c(1.15922930524208, 1.40985252978436, 1.16406043263713,          1.17971772396452, 0.606039227085063, 1.09717995764468,          0.928921275219278, 0.985391408166863, 0.672854909342646,          0.985391408166863, 0.674198133913936, 0.674198133913936,          1.70286767909083, 0.674198133913936, 0.874437271649647,          0.874437271649647, 0.395563323563994, 0.395563323563994,          0.73352935155883, 1.57003684649171), PROX_MRT = c(1.36685465541241,          1.62235809597188, 1.40304810962874, 1.12495588646837,          0.807097621625513, 1.35104476777798, 1.02650412956774,          1.24252861976923, 0.927742831261867, 1.24252861976923,          0.930587839854138, 0.930587839854138, 1.0665313702167,          0.930587839854138, 1.13238128237287, 1.13238128237287,          0.650195396152393, 0.650195396152393, 0.735653331318593,          0.375491068655226), PROX_PARK = c(0.808345234949979,          0.633472210001671, 0.98341166564854, 0.823954351824118,          0.432698189125414, 1.02148060415503, 0.71485218383349,          0.934356673366442, 0.613453702116727, 0.934356673366442,          0.625625874274951, 0.625625874274951, 0.405128535389849,          0.625625874274951, 0.852232892319188, 0.852232892319188,          0.355836862982211, 0.355836862982211, 0.463826523913091,          0.819174175884815), PROX_GOOD_PRISCH = c(3.36640767040689,          3.56691345353299, 3.64472604970499, 2.99834463762659,          3.13467644284063, 3.79601078940401, 2.72778429145315,          3.78947597459801, 3.51513652285447, 3.78947597459801,          3.54140201350838, 3.54140201350838, 3.13265552080448,          3.54140201350838, 3.77322944876988, 3.77322944876988,          3.33079371618761, 3.33079371618761, 2.52734391167264,          2.26578798898653), PROX_MALL = c(0.486526360127578, 0.253259472709144,          0.597111778941966, 0.669111824361406, 0.738705771798207,          0.809004632748584, 0.949257633150117, 0.656741946143406,          0.472438990852491, 0.656741946143406, 0.445444903624544,          0.445444903624544, 0.541352629222412, 0.445444903624544,          0.502295694435402, 0.502295694435402, 0.390496575840073,          0.390496575840073, 0.66282583229379, 1.34118728457461         ), PROX_CHAS = c(0.228652490110126, 0.210576528602503,          0.0911939042613644, 0.38494516455544, 0.19051372613691,          0.352996738297868, 0.453083161817035, 0.478794864158343,          0.353464796953762, 0.478794864158343, 0.387886097439527,          0.387886097439527, 0.220588325506638, 0.387886097439527,          0.563239471741591, 0.563239471741591, 0.448788349522024,          0.448788349522024, 0.528800676490504, 0.0806372798138111         ), PROX_SUPERMARKET = c(0.234691730121176, 0.21397076195142,          0.408284988301129, 0.384052647553184, 0.326764101800336,          0.252078878715955, 0.513065398645433, 0.1489144838969,          0.429218479578941, 0.1489144838969, 0.411626017932148,          0.411626017932148, 0.49532093691776, 0.411626017932148,          0.187279197917694, 0.187279197917694, 0.447693008221967,          0.447693008221967, 0.528799775767506, 0.189550835904173         ), WITHIN_350M_KINDERGARTEN = c(2L, 3L, 2L, 1L, 3L, 0L,          0L, 0L, 2L, 0L, 2L, 2L, 0L, 2L, 0L, 0L, 2L, 2L, 0L, 3L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 1L, 3L, 2L, 2L,          3L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(8L, 12L, 13L, 7L, 9L, 11L, 2L,          9L, 7L, 9L, 6L, 6L, 8L, 6L, 10L, 10L, 5L, 5L, 6L, 9L),          WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 1L, 3L, 2L, 2L, 2L, 2L, 2L, 3L), DNeighbour = c(0,          275.109313259837, 320.019295221543, 377.597391758443,          561.983506386943, 565.993745596168, 661.493961861219,          661.935700272725, 662.841929911839, 666.028785915377,          688.476959840881, 692.736759706342, 692.78374886236,          694.825019171075, 770.734206258361, 774.371515267294,          827.82555217711, 828.888727744411, 1005.40105503319,          1171.29474242361)), row.names = c("314", "428", "934",      "686", "136", "899", "3", "495", "188", "406", "457", "233",      "527", "483", "782", "994", "639", "852", "695", "219"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.892709678662674, 0.856275762546939, 0.802948025215911,      0.5925843424911, 0.587518960022529, 0.463832329255732, 0.463252088461367,      0.462061646373799, 0.457874621628531, 0.42837193438073, 0.42277651042423,      0.422714801526679, 0.420034406574041, 0.321501454976909,      0.316872789087227, 0.250488996550908, 0.249205522336239,      0.0692772154258554, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       695419206 
R squared (OOB):                  0.1400294 

$Forests[[315]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(615000, 658000, 585000,      575000, 417000, 435000, 540000, 565000, 380000, 440000, 410000,      428888, 415000, 412000, 447000, 420000, 390000, 438000, 478000,      435000), floor_area_sqm = c(84, 84, 93, 93, 99, 99, 93, 93,      104, 100, 100, 84, 84, 103, 107, 104, 104, 104, 104, 100),          storey_order = c(2L, 3L, 4L, 5L, 3L, 2L, 4L, 6L, 1L,          3L, 3L, 3L, 3L, 4L, 3L, 2L, 1L, 2L, 5L, 4L), remaining_lease_mths = c(1122,          1120, 1142, 1133, 914, 928, 1142, 1127, 924, 911, 915,          774, 782, 918, 782, 922, 809, 812, 770, 924), PROX_CBD = c(12.3801819754074,          12.4891302242583, 12.454441113408, 12.4342034244884,          12.2815153207229, 12.2106818490232, 12.5378737745647,          12.4937468159193, 12.0301392517655, 12.2087069526051,          12.2087069526051, 12.8776183162857, 12.8776183162857,          11.9871965659798, 11.7840832214562, 11.8892341343185,          11.7882471009294, 11.7215458353159, 11.927322045494,          12.114386347938), PROX_ELDERLYCARE = c(0.738453704244922,          0.707031754326944, 0.717258387107597, 0.678867196986192,          0.513657423159811, 0.442541563379791, 0.76025522927712,          0.714783075399861, 0.255083942589415, 0.434858408662556,          0.434858408662556, 0.211786543917104, 0.211786543917104,          0.210296865683283, 0.481333190444255, 0.110349805405523,          0.114277277444971, 0.240093333498969, 0.77464979732367,          0.421163091926404), PROX_HAWKER = c(0.261296216065877,          0.384467206049481, 0.459376407452819, 0.504612881494125,          0.52278816815954, 0.524204307723605, 0.672948721825079,          0.680821394190482, 0.598391326300702, 0.692592935098248,          0.692592935098248, 0.677647820815747, 0.677647820815747,          0.625285574708341, 0.436117874461739, 0.684056106771311,          0.647051853283446, 0.609281739536534, 0.445987433628815,          0.885134801830427), PROX_MRT = c(0.367154517888221, 0.38468199977318,          0.518913352820399, 0.586933783104383, 0.703998835661039,          0.743103019894999, 0.707305973375369, 0.743366527772832,          0.885297742933312, 0.89623888155871, 0.89623888155871,          0.301948361527339, 0.301948361527339, 0.923336133969517,          0.81394482428473, 1.00424261648768, 1.00317447086964,          0.989064774064853, 0.493642118682657, 1.10882075300419         ), PROX_PARK = c(0.605799570777928, 0.50651752093578,          0.580711209690395, 0.628391467794767, 0.796788171077343,          0.863487882808023, 0.628331945846246, 0.683130710636032,          1.04875150887626, 0.954913184146477, 0.954913184146477,          0.246982674114576, 0.246982674114576, 1.09395352284574,          1.20101103678102, 1.19263079577799, 1.24877122811849,          1.28416187507733, 1.17760662255222, 1.14970360230785),          PROX_GOOD_PRISCH = c(0.823417580851307, 0.94986022590219,          0.990054087408291, 1.01367306567257, 0.952579960345566,          0.91368762909787, 1.17951788917503, 1.16886515239787,          0.860616187528585, 1.04944877580977, 1.04944877580977,          1.22334421357001, 1.22334421357001, 0.855677549512306,          0.357669915539773, 0.842915880539328, 0.713901761199557,          0.585140695782779, 0.289303568244907, 1.17061030478036         ), PROX_MALL = c(0.344173235497563, 0.458049841664737,          0.549832225559512, 0.600548053404267, 0.630705874818675,          0.634332011832188, 0.766094086501437, 0.778202426893423,          0.707201836140707, 0.802829369116586, 0.802829369116586,          0.503182159926002, 0.503182159926002, 0.732793638615111,          0.489619370966043, 0.787722851944232, 0.741052769880115,          0.690287469384684, 0.376851773239706, 0.995792127022496         ), PROX_CHAS = c(0.126495411341712, 3.00974727266337e-08,          0.134313038880304, 0.134041173915956, 0.0753088652692227,          0.140964983635816, 0.187116592266412, 0.147744885974614,          0.202915262499126, 0.0852358826892552, 0.0852358826892552,          0.128785172156574, 0.128785172156574, 0.171681037809818,          0.0667093090499658, 0.124859952031804, 0.0554870656895364,          0.164718468919614, 0.339292519878925, 0.138740180982893         ), PROX_SUPERMARKET = c(0.30203349112312, 0.425107542879533,          0.499432454100223, 0.543693418915242, 0.448534184110051,          0.377835654599335, 0.707597649659388, 0.667447252804164,          0.20670525505664, 0.414959148864982, 0.414959148864982,          0.17067511852319, 0.17067511852319, 0.172282484091702,          0.379080894647373, 0.114394571204967, 0.0453848138423891,          0.169255457402684, 0.405378875546255, 0.459680111992834         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 1L, 1L,          0L, 0L, 2L, 2L, 2L, 0L, 0L, 2L, 2L, 2L, 3L, 2L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 4L, 4L, 6L, 5L,          5L, 4L, 5L, 5L, 5L, 1L, 1L, 5L, 3L, 8L, 8L, 6L, 2L, 1L         ), WITHIN_350M_BUS = c(8L, 10L, 11L, 12L, 12L, 11L, 11L,          11L, 7L, 11L, 11L, 12L, 12L, 6L, 7L, 9L, 9L, 10L, 9L,          8L), WITHIN_1KM_PRISCH = c(4L, 5L, 3L, 1L, 2L, 2L, 1L,          1L, 2L, 1L, 1L, 4L, 4L, 2L, 4L, 2L, 3L, 3L, 4L, 1L),          DNeighbour = c(0, 127.193880620721, 204.129036711312,          266.823671993085, 340.628117475683, 377.897599238618,          423.175095099125, 443.622194781064, 515.797470386722,          534.057652877011, 534.604673713082, 562.224189660613,          562.303060776189, 563.532115590536, 601.458109697783,          650.685706814869, 664.109895655264, 682.687052997962,          703.053093657674, 739.859703579897)), row.names = c("315",      "505", "641", "310", "362", "42", "343", "24", "727", "410",      "680", "892", "259", "689", "340", "148", "508", "625", "666",      "707"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.941763138322638,      0.853550353637702, 0.756792365152098, 0.621000634297948,      0.546290620824138, 0.45273266942969, 0.410209615806099, 0.264169082823174,      0.229395243572228, 0.228373402466405, 0.178541849982568,      0.178404949192266, 0.17627593160576, 0.115013301763218, 0.0513155891765913,      0.0377468732843493, 0.0220755868246137, 0.00941313551325423,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1103670183 
R squared (OOB):                  0.8394936 

$Forests[[316]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(680000, 660000, 735000,      325000, 390000, 335000, 420000, 380000, 347000, 320000, 3e+05,      380000, 350000, 388800, 333000, 370000, 4e+05, 418000, 380000,      390000), floor_area_sqm = c(87, 87, 97, 82, 92, 83, 92, 92,      90, 90, 92, 92, 92, 98, 89, 84, 92, 92, 92, 92), storey_order = c(6L,      3L, 6L, 4L, 1L, 3L, 5L, 2L, 5L, 2L, 2L, 4L, 4L, 2L, 1L, 3L,      4L, 4L, 4L, 1L), remaining_lease_mths = c(1076, 1066, 1066,      666, 685, 687, 694, 687, 672, 672, 691, 693, 688, 697, 692,      673, 690, 691, 695, 711), PROX_CBD = c(10.1126951054664,      10.1126951054664, 9.96973817000633, 10.0782341562763, 10.3184291669162,      10.5501175985891, 10.5902646894981, 10.571248724537, 10.5036676165143,      10.5036676165143, 10.7273754880637, 10.7273754880637, 10.7428660694501,      10.7178846249378, 10.7178846249378, 10.6549850760698, 9.59976569988281,      9.61422948612377, 9.61422948612377, 9.71066487891121), PROX_ELDERLYCARE = c(0.511544492658224,      0.511544492658224, 0.560133969723593, 0.248412112584261,      0.724299376510179, 0.724362239545807, 0.476382036969741,      0.426373779355343, 0.346712236264009, 0.346712236264009,      0.968089576161562, 0.968089576161562, 1.00386291289403, 0.903749132751209,      0.903749132751209, 0.531453703929196, 0.239547661796275,      0.28812103687201, 0.28812103687201, 0.385358274245319), PROX_HAWKER = c(0.268370020499938,      0.268370020499938, 0.246219700947935, 0.250435976222025,      0.285348407142059, 0.496328097640832, 0.142004884371921,      0.155284554597335, 0.255376275980047, 0.255376275980047,      0.259491073356982, 0.259491073356982, 0.19921426515349, 0.131164348467149,      0.131164348467149, 0.345053577007401, 0.436761476721694,      0.398658919868918, 0.398658919868918, 0.39402887106119),          PROX_MRT = c(0.549740095282867, 0.549740095282867, 0.405168801785449,          0.622308556906305, 0.752281430413819, 0.92637591011884,          0.793335563342317, 0.822399768635659, 0.908007357991278,          0.908007357991278, 0.880392787161762, 0.880392787161762,          0.911557541227745, 0.897030842789514, 0.897030842789514,          0.849090589690401, 0.619962862184004, 0.667432439829923,          0.667432439829923, 0.746020760246364), PROX_PARK = c(0.878497256111703,          0.878497256111703, 0.868342722448078, 0.627458410441261,          1.05219739289641, 0.888350706343443, 0.57091664624863,          0.471129460807546, 0.381418159266178, 0.381418159266178,          0.675703893946554, 0.675703893946554, 0.65460215425144,          0.68415716278098, 0.68415716278098, 0.204920490916151,          0.957886982704992, 0.922231693079911, 0.922231693079911,          0.914740437498633), PROX_GOOD_PRISCH = c(1.46177539101005,          1.46177539101005, 1.55873028154778, 1.26151864262594,          1.54472866778257, 1.37609088117382, 0.962114901666907,          0.876989954992127, 0.825686703361669, 0.825686703361669,          1.51964159199475, 1.51964159199475, 1.57772010642862,          1.69245386393467, 1.69245386393467, 0.576127248022356,          2.35345437748376, 2.38715383730665, 2.38715383730665,          2.31351362539819), PROX_MALL = c(0.269774803261538, 0.269774803261538,          0.129560175686973, 0.418279044459304, 0.472532088410597,          0.693136328895784, 0.838333779631814, 0.872531493441133,          0.873995522285645, 0.873995522285645, 0.885934538444454,          0.885934538444454, 0.913300066979642, 0.922177591154216,          0.922177591154216, 1.12054305374088, 0.387669919047214,          0.43353114329251, 0.43353114329251, 0.505770857705003         ), PROX_CHAS = c(0.20472250196774, 0.20472250196774,          0.0647243745052949, 0.186550674976261, 0.165961529218061,          0.120595382532287, 0.0950095589968322, 0.109732367463933,          0.217153936659979, 0.217153936659979, 0.161497017697243,          0.161497017697243, 0.184868017131885, 0.141741960002869,          0.141741960002869, 0.290835710912963, 0.263208245292117,          0.28666502826278, 0.28666502826278, 0.255589678637005         ), PROX_SUPERMARKET = c(0.35798039621586, 0.35798039621586,          0.241122798862169, 0.255147915067147, 0.447507928623339,          0.448117335537485, 0.190547463602814, 0.199099262156692,          0.291549431934698, 0.291549431934698, 0.294310303883692,          0.294310303883692, 0.247977273863763, 0.141741503991008,          0.141741503991008, 0.292451786949051, 0.44091986097032,          0.396736556610776, 0.396736556610776, 0.363062686357781         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 1L, 1L, 2L,          0L, 0L, 0L, 0L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 5L, 4L, 2L,          2L, 3L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 1L, 4L, 3L, 3L, 2L         ), WITHIN_350M_BUS = c(6L, 6L, 7L, 5L, 7L, 6L, 6L, 5L,          6L, 6L, 4L, 4L, 5L, 6L, 6L, 7L, 11L, 11L, 11L, 13L),          WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 2L, 5L, 5L, 2L, 2L,          2L, 2L, 5L, 5L, 5L, 5L, 5L, 2L, 3L, 4L, 4L, 4L), DNeighbour = c(0,          10.1454094432327, 155.809933421848, 277.465610003082,          279.303113024557, 433.208611462972, 566.989764343726,          613.499991007701, 633.147976188685, 637.289196811486,          655.998147481688, 659.366799506321, 700.409360194307,          732.56404928185, 734.582171414324, 890.165911090583,          899.245441562303, 930.256663964691, 931.125746702968,          944.368070488267)), row.names = c("316", "506", "471",      "84", "97", "778", "701", "210", "482", "940", "648", "651",      "43", "429", "914", "728", "964", "499", "603", "776"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999769186343626, 0.946298541579849, 0.834802314771361,      0.832707385335912, 0.62341778776562, 0.408999978574941, 0.334045717821251,      0.303052346710764, 0.29659201904166, 0.267777136899525, 0.262659769037552,      0.202433206257129, 0.158611323463227, 0.15597789596495, 0.0124313850836777,      0.00870088390714747, 0.00087984083115827, 0.000775522672079532,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2600199075 
R squared (OOB):                  0.8313106 

$Forests[[317]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 374000, 4e+05,      408000, 350000, 370000, 540000, 505000, 5e+05, 368000, 580000,      575000, 565000, 392000, 395000, 425000, 520000, 335000, 4e+05,      328000), floor_area_sqm = c(104, 103, 104, 100, 105, 98,      90, 92, 92, 100, 92, 92, 92, 103, 101, 108, 92, 84, 103,      84), storey_order = c(1L, 2L, 2L, 4L, 1L, 2L, 3L, 4L, 3L,      2L, 4L, 4L, 3L, 2L, 4L, 3L, 1L, 2L, 3L, 4L), remaining_lease_mths = c(869,      862, 822, 921, 837, 912, 1067, 1051, 1049, 923, 1140, 1137,      1127, 833, 936, 820, 1138, 796, 796, 806), PROX_CBD = c(10.9782438935663,      11.0478583208432, 10.8294299245227, 10.7481925626994, 10.9742090734032,      10.6430674352334, 11.5237533038112, 11.4388659085475, 11.4975151935682,      10.5911430304609, 11.6525204845234, 11.6525204845234, 11.6525204845234,      10.8307618753175, 10.5347600839054, 10.7884209511687, 11.6952918230505,      10.2571858212528, 10.2571858212528, 10.2439629519707), PROX_ELDERLYCARE = c(0.748731634955849,      0.694826263841934, 0.925828280583076, 1.00181077128688, 0.852070403211021,      1.10983952182968, 0.374021376468387, 0.529438756707198, 0.485429735975203,      1.2745451415541, 0.090696724945174, 0.090696724945174, 0.090696724945174,      1.12487398858542, 1.31633228018286, 1.11323464510705, 0.0818897866131208,      0.969336561855173, 0.969336561855173, 0.904720646157319),          PROX_HAWKER = c(0.421987441153261, 0.33156405975617,          0.558859907936318, 0.591883114810231, 0.487483409830997,          0.494234864614673, 0.235307086042243, 0.319632581294072,          0.320302217757218, 0.314632743063994, 0.325622570567264,          0.325622570567264, 0.325622570567264, 0.775872885593274,          0.259744380023822, 0.812377793689625, 0.374319678668878,          0.543600998034675, 0.543600998034675, 0.616195579705155         ), PROX_MRT = c(0.516121726350597, 0.413251174688675,          0.633065114071651, 0.80807654444201, 0.534522073584246,          0.91242151857363, 0.148196296616071, 0.264110896255266,          0.24936700359253, 1.14211364891441, 0.219824289848129,          0.219824289848129, 0.219824289848129, 0.568072215940967,          1.15842683571226, 0.526269526678983, 0.18359152527436,          0.5984056038899, 0.5984056038899, 0.52596302633555),          PROX_PARK = c(1.01560706627581, 0.855372307789476, 0.822296725898933,          1.13130385684233, 0.623434891123849, 1.09293299728603,          0.808531626238996, 0.653351036954048, 0.698336840868775,          0.997953552798557, 1.18955170998222, 1.18955170998222,          1.18955170998222, 0.443949121553361, 1.00657829367171,          0.467051942358664, 1.23082333360032, 0.690393008756984,          0.690393008756984, 0.626908579085899), PROX_GOOD_PRISCH = c(1.81228643023267,          1.96973866183315, 1.88031331185984, 1.51127824976447,          2.09882394138718, 1.4206810513637, 2.43173748992112,          2.45055199705462, 2.48345794754568, 1.15731102426836,          2.3279627535371, 2.3279627535371, 2.3279627535371, 2.22887532154294,          1.12709017589061, 2.2131785217075, 2.35260315569007,          1.38840710840139, 1.38840710840139, 1.44855804010835),          PROX_MALL = c(0.231229629812008, 0.400154220571097, 0.43093778326398,          0.114469773448463, 0.606835933426222, 0.220538248250442,          0.840908486660855, 0.840491697823826, 0.805279144871904,          0.441630162720786, 0.807719243520252, 0.807719243520252,          0.807719243520252, 0.384053234723219, 0.464767570965945,          0.340751907865098, 0.785373664552542, 0.638527944164543,          0.638527944164543, 0.644656189163291), PROX_CHAS = c(0.23122963873357,          0.193330180912365, 0.0390568763467083, 0.0793642323922721,          0.20965056306942, 0.0703959269798554, 0.0822817354855642,          0.210772889992189, 0.18789773503711, 0.327465416824022,          0.162428164506486, 0.162428164506486, 0.162428164506486,          0.2644107607892, 0.272565000598528, 0.260152478655286,          0.141926234339659, 0.0819899420632749, 0.0819899420632749,          0.155315138624813), PROX_SUPERMARKET = c(0.231228589734032,          0.392366955335671, 0.430936681100737, 0.114469867006585,          0.477398814511427, 0.220538485726081, 0.113409172087645,          0.189609627596398, 0.186124684843571, 0.441631117888638,          0.158766807317564, 0.158766807317564, 0.158766807317564,          0.407226974513028, 0.464768447350912, 0.363982132031921,          0.137537075296593, 0.123486578338512, 0.123486578338512,          0.18505229065347), WITHIN_350M_KINDERGARTEN = c(2L, 1L,          2L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 2L, 1L, 1L,          0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 2L, 4L,          4L, 2L, 2L, 4L, 4L, 4L, 1L, 4L, 4L, 4L, 4L, 1L, 3L, 4L,          2L, 2L, 1L), WITHIN_350M_BUS = c(9L, 7L, 11L, 10L, 8L,          13L, 5L, 7L, 8L, 13L, 11L, 11L, 11L, 11L, 15L, 8L, 13L,          10L, 10L, 10L), WITHIN_1KM_PRISCH = c(5L, 6L, 6L, 6L,          6L, 6L, 4L, 5L, 4L, 4L, 6L, 6L, 6L, 6L, 4L, 6L, 6L, 5L,          5L, 6L), DNeighbour = c(0, 174.808911358418, 276.642076305794,          303.770473681662, 400.348901791129, 407.998888050616,          631.726610642523, 637.28396055803, 666.48586507913, 668.245900476717,          674.723305851994, 675.191656685989, 676.932549767551,          686.985804487645, 690.502107902462, 704.13725187062,          713.810761373221, 721.3842614511, 728.917682441061, 740.819408494219         )), row.names = c("317", "694", "364", "866", "239",      "627", "652", "271", "553", "718", "792", "580", "557", "743",      "577", "696", "917", "591", "494", "668"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.891739486036179, 0.740550033417407, 0.691994041745332,      0.501197611962914, 0.48537060504955, 0.0744383232727215,      0.0675915359335028, 0.0363326348887279, 0.0347191489460788,      0.0290635228394209, 0.0286720629258906, 0.0272379346746979,      0.0196153214936102, 0.0172210513209737, 0.00932760092915058,      0.00512461727151907, 0.00268127891919133, 0.001015897288302,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3303049202 
R squared (OOB):                  0.5571602 

$Forests[[318]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 415000, 460000,      418000, 435000, 436000, 440000, 420000, 440000, 456500, 395000,      365000, 441000, 445000, 425000, 358000, 420000, 450000, 415000,      450000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 94, 94, 93, 94, 94, 93, 94, 94, 94, 93), storey_order = c(6L,      8L, 7L, 6L, 2L, 7L, 8L, 5L, 5L, 8L, 4L, 1L, 6L, 6L, 6L, 1L,      7L, 7L, 6L, 9L), remaining_lease_mths = c(1142, 1140, 1125,      1129, 1128, 1139, 1142, 1132, 1124, 1144, 1113, 1095, 1097,      1109, 1119, 1103, 1120, 1119, 1120, 1136), PROX_CBD = c(12.02897658153,      12.02897658153, 12.02897658153, 12.02897658153, 12.042332185553,      12.042332185553, 12.042332185553, 12.042332185553, 12.0234479092478,      11.9527102757424, 11.9744040829633, 11.7965908296893, 11.8078122246038,      12.1122271384014, 11.9828723130509, 11.8075546541859, 12.0119641769274,      12.0119641769274, 11.7484946081343, 12.1741021183779), PROX_ELDERLYCARE = c(0.841755023464642,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.938035651111226, 0.819362766143575,      0.738781707341689, 1.00802268588986, 0.95260617550949, 0.629785153682861,      0.710325725805382, 0.922118515238085, 0.673044116243487,      0.673044116243487, 1.16050252277995, 0.519600844901231),          PROX_HAWKER = c(0.409616357379742, 0.409616357379742,          0.409616357379742, 0.409616357379742, 0.369655971945997,          0.369655971945997, 0.369655971945997, 0.369655971945997,          0.507473565259923, 0.27814297307049, 0.217370340361849,          0.337854809554552, 0.262687630178652, 0.337796349528525,          0.20448046373977, 0.209140712961875, 0.222580914455278,          0.222580914455278, 0.512143004921159, 0.375471053349032         ), PROX_MRT = c(0.331072457322778, 0.331072457322778,          0.331072457322778, 0.331072457322778, 0.298263347673859,          0.298263347673859, 0.298263347673859, 0.298263347673859,          0.394231498000209, 0.200702114351669, 0.167322140356011,          0.249549573241666, 0.173777829752023, 0.302747284955937,          0.170867756883987, 0.120215557602138, 0.201095784108649,          0.201095784108649, 0.425815084561206, 0.338849049026276         ), PROX_PARK = c(0.529446955515876, 0.529446955515876,          0.529446955515876, 0.529446955515876, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.542226246468638,          0.506408767470305, 0.643017670933737, 0.679906922269617,          0.739061594864021, 0.746013140888617, 0.576425078157325,          0.697136724289492, 0.747098338531098, 0.691047645736797,          0.691047645736797, 0.660489483199184, 0.612679613149166         ), PROX_GOOD_PRISCH = c(2.36775586018775, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.39172047379238, 2.270018309959, 2.27223739349538, 2.14271827973834,          2.13533890725473, 2.408030235171, 2.27447890050516, 2.12338877581429,          2.29976812492723, 2.29976812492723, 2.14657014261275,          2.45580221931744), PROX_MALL = c(0.358721564938295, 0.358721564938295,          0.358721564938295, 0.358721564938295, 0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.441394824612777, 0.232344363503357, 0.214069216816763,          0.241737870027575, 0.17025857997445, 0.350899017798137,          0.220402811054307, 0.119447773727589, 0.251262654177611,          0.251262654177611, 0.411213390710639, 0.416829357908565         ), PROX_CHAS = c(0.25157977989641, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.223839041128234, 0.146038815472653, 0.0939357367291076,          0.101692541492014, 0.170258520163124, 0.0703863092474096,          0.0995919009989899, 0.11944771257822, 0.131248018016709,          0.131248018016709, 0.0876622280470988, 0.0461624602204791         ), PROX_SUPERMARKET = c(0.314501000490003, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.244018176385425, 0.237998550380205, 0.22318738818849,          0.17897337633635, 0.168966076328732, 0.360308355053667,          0.230351837454113, 0.119571834445138, 0.261515416493987,          0.261515416493987, 1.21715176356525e-07, 0.427183407476201         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 2L, 5L, 7L, 3L, 4L, 7L, 6L, 4L, 6L, 6L, 2L, 7L         ), WITHIN_350M_BUS = c(11L, 11L, 11L, 11L, 10L, 10L,          10L, 10L, 10L, 12L, 10L, 9L, 11L, 7L, 7L, 10L, 6L, 6L,          11L, 5L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L         ), DNeighbour = c(0, 2.48704539862909, 4.50788215387077,          7.78413665035598, 62.8918450112207, 64.3003484640676,          64.4734044988366, 65.6842030026322, 114.398178336224,          140.708703166762, 218.376477079998, 230.706057232472,          233.099317251244, 235.049163426528, 251.035492001573,          256.656875980313, 273.874019334127, 278.924019151179,          332.913220663217, 341.866997164781)), row.names = c("318",      "287", "874", "700", "908", "573", "16", "634", "502", "749",      "858", "41", "439", "607", "203", "724", "167", "947", "441",      "621"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999894154700891,      0.999652285347757, 0.998963369579585, 0.933458526122405,      0.930498899852199, 0.930131071883564, 0.927531957225393,      0.788587122111191, 0.689887184573019, 0.350422628740275,      0.296577038047194, 0.286322728015464, 0.278025245211612,      0.212329755604564, 0.190421776283585, 0.128320364162382,      0.111778096926652, 0.00267244314290337, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       807227623 
R squared (OOB):                  -0.08727255 

$Forests[[319]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(8e+05, 680000, 680000,      753000, 748000, 685000, 912000, 945500, 620000, 438888, 7e+05,      476000, 475000, 375000, 537000, 5e+05, 355000, 688000, 407000,      510000), floor_area_sqm = c(90, 85, 91, 87, 107, 93, 87,      87, 103, 80, 93, 103, 103, 82, 106, 103, 82, 85, 82, 93),          storey_order = c(7L, 2L, 3L, 5L, 2L, 4L, 3L, 8L, 2L,          4L, 1L, 2L, 2L, 3L, 4L, 1L, 2L, 4L, 5L, 4L), remaining_lease_mths = c(1063,          1066, 984, 1104, 899, 1115, 1142, 1143, 911, 601, 625,          774, 781, 645, 760, 773, 656, 964, 661, 746), PROX_CBD = c(2.97610984462207,          2.96405104980333, 2.86455481676114, 2.5775653440094,          2.52364731081334, 2.56060478168524, 2.51922626320824,          2.51922626320824, 2.86182045335715, 3.37234644442932,          2.09358084499411, 3.09516181063763, 3.09516181063763,          3.68559345068932, 3.12641734116327, 3.24578829573265,          3.73116287154914, 3.98134497452694, 3.63085360417079,          3.46549777590634), PROX_ELDERLYCARE = c(0.249991250520312,          0.206690358794928, 0.111411798512938, 0.283170941801308,          0.132133546591398, 0.303984777605612, 1.25853619714168e-06,          1.25853619714168e-06, 0.334062202372697, 0.401810150563083,          0.442569764285143, 0.614909460801077, 0.614909460801077,          0.466665237090727, 0.570344367187993, 0.461566734593474,          0.501456868829436, 0.168717999980802, 0.233260955843543,          0.22080460703487), PROX_HAWKER = c(0.405863058813757,          0.344572110572533, 0.302651224916382, 0.447120961378381,          0.315417458803045, 0.450094806637729, 0.187177165934232,          0.187177165934232, 0.231089093207534, 0.449139985411189,          0.103399879312882, 0.524942013349153, 0.524942013349153,          0.28293755865871, 0.582032517556358, 0.461305554076076,          0.311969910328466, 0.262344394473714, 0.0974836441417274,          0.288924403117312), PROX_MRT = c(0.337225216160626, 0.377919714857806,          0.391395986196982, 0.499107329029013, 0.277076743329557,          0.546591463865751, 0.243725266054354, 0.243725266054354,          0.819080841065402, 0.537190991659238, 0.681532284353367,          1.19880844528061, 1.19880844528061, 1.17490863944549,          1.19588154804183, 1.11057161001852, 1.10221151459309,          0.310254962870727, 0.897060452829867, 0.855873415641472         ), PROX_PARK = c(0.4671588721782, 0.495024008458079,          0.399002951856213, 0.18481391877062, 0.163253442595557,          0.21329655328302, 0.28862748451296, 0.28862748451296,          0.609617368578913, 0.408351250353425, 0.400473707610266,          0.971409228458194, 0.971409228458194, 0.304435062988112,          0.971029675538415, 0.856773721705297, 0.271761978726623,          0.894232249415992, 0.512523364266062, 0.78484111030831         ), PROX_GOOD_PRISCH = c(4.56048774292729, 4.62297298452196,          4.71207116352008, 4.89009258041755, 4.61812725480087,          4.93746215949662, 4.50145006484821, 4.50145006484821,          5.1514664212482, 3.70512913004722, 4.81109980295855,          5.46565510857314, 5.46565510857314, 5.15997579188296,          5.52416256345089, 5.51078547454581, 5.22570836776045,          3.868083844602, 5.4842432173218, 5.67094725420518), PROX_MALL = c(0.362094853274792,          0.404565296260845, 0.420489734799516, 0.524781909718914,          0.290995843291254, 0.572150632107275, 0.244046547559164,          0.244046547559164, 0.848351644608041, 0.743612757274357,          0.685370188976197, 1.2281628510896, 1.2281628510896,          1.3376464242075, 1.29251563056945, 1.33172083977874,          1.41171259857663, 1.18273225000282, 1.51733094855201,          1.56665946009711), PROX_CHAS = c(0.111500209373212, 0.0506108453744785,          0.110042750971165, 0.0301364724824846, 0.0122221533760307,          0.0640474788759872, 0.0462846720247782, 0.0462846720247782,          0.159666076311523, 0.499618186459994, 0.165994533154508,          0.240903750709302, 0.240903750709302, 0.216565147674259,          0.202999736112437, 0.0869328465249217, 0.261237260735983,          0.145112311632742, 0.318203164684035, 0.173647795570322         ), PROX_SUPERMARKET = c(0.111500172768761, 0.0506107476035619,          0.110042446678578, 0.275738565320567, 0.0373112013983995,          0.315915165677582, 0.169442491353445, 0.169442491353445,          0.360029455717415, 0.499617451823641, 0.346795592234613,          0.240902416159861, 0.240902416159861, 0.252487697752149,          0.202998478162502, 0.0869315055470345, 0.301923436189205,          0.252387257990654, 0.318204198369299, 0.173649067116538         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 1L, 0L, 1L,          0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 4L, 6L, 4L,          4L, 4L, 3L, 2L, 4L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 1L, 1L         ), WITHIN_350M_BUS = c(4L, 7L, 7L, 3L, 6L, 3L, 4L, 4L,          4L, 8L, 7L, 4L, 4L, 10L, 5L, 6L, 9L, 12L, 11L, 9L), WITHIN_1KM_PRISCH = c(3L,          4L, 4L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 1L, 3L, 3L, 2L, 2L,          2L, 2L, 1L, 2L, 2L), DNeighbour = c(0, 61.6735296962504,          165.25477195347, 456.4172169626, 463.048483272099, 497.430666025573,          512.031339653686, 513.900538241075, 590.885562368583,          856.10653211543, 885.87494850092, 931.011084531035, 936.83769774354,          977.981720933628, 992.326789620909, 1012.61994994255,          1057.24438033734, 1109.76422529112, 1166.34970418314,          1237.52195047946)), row.names = c("319", "389", "968",      "999", "65", "390", "550", "816", "561", "69", "824", "126",      "134", "683", "48", "192", "432", "375", "742", "454"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.995038852623287, 0.964653807542755, 0.746453081765698,      0.73958942375679, 0.702965760641018, 0.686920218401944, 0.684846149900562,      0.596011487500779, 0.271884270147366, 0.237719359800932,      0.188370196716087, 0.182252076004799, 0.14097518498188, 0.127456783316502,      0.10919300224282, 0.0729707292176099, 0.0383437671656784,      0.0124805077748776, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8719334415 
R squared (OOB):                  0.705768 

$Forests[[320]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(805000, 820000, 825000,      472000, 840000, 688000, 530000, 552000, 750000, 755000, 685000,      438888, 620000, 408000, 580000, 8e+05, 680000, 680000, 912000,      945500), floor_area_sqm = c(104, 87, 87, 84, 87, 85, 111,      100, 90, 90, 85, 80, 102, 84, 100, 90, 85, 91, 87, 87), storey_order = c(3L,      9L, 5L, 2L, 14L, 4L, 1L, 1L, 11L, 5L, 4L, 4L, 3L, 6L, 4L,      7L, 2L, 3L, 3L, 8L), remaining_lease_mths = c(919, 1136,      1136, 799, 1141, 964, 767, 910, 1035, 1038, 1038, 601, 908,      647, 1013, 1063, 1066, 984, 1142, 1143), PROX_CBD = c(4.1456930527125,      4.59114385332588, 4.59114385332588, 4.27761841825855, 4.70219035054856,      3.98134497452694, 4.3501519248406, 4.64904487497998, 4.88070069409732,      4.88070069409732, 4.89531124268982, 3.37234644442932, 4.95292174150019,      5.38657645344473, 4.79843685927635, 2.97610984462207, 2.96405104980333,      2.86455481676114, 2.51922626320824, 2.51922626320824), PROX_ELDERLYCARE = c(0.45180890917037,      0.125633226962327, 0.125633226962327, 0.0937624362906392,      0.200702517977741, 0.168717999980802, 0.203630745919553,      0.374326446996408, 0.312658206579851, 0.312658206579851,      0.307888742732217, 0.401810150563083, 0.0718437191527097,      0.465891927060243, 0.72206466606869, 0.249991250520312, 0.206690358794928,      0.111411798512938, 1.25853619714168e-06, 1.25853619714168e-06     ), PROX_HAWKER = c(0.668394095052703, 0.762382071136897,      0.762382071136897, 0.566432501893156, 0.646528219825606,      0.262344394473714, 0.509657348502929, 0.28049665267082, 0.595417483526792,      0.595417483526792, 0.546104933523636, 0.449139985411189,      0.126776661941161, 0.351855498276287, 0.669525197575465,      0.405863058813757, 0.344572110572533, 0.302651224916382,      0.187177165934232, 0.187177165934232), PROX_MRT = c(0.413017272318271,      0.586728793826683, 0.586728793826683, 0.40356540460373, 0.491479629856663,      0.310254962870727, 0.533693046359433, 0.763812758173444,      0.314337158810329, 0.314337158810329, 0.275254866694397,      0.537190991659238, 0.804865461788644, 0.675587286197546,      1.13446368103879, 0.337225216160626, 0.377919714857806, 0.391395986196982,      0.243725266054354, 0.243725266054354), PROX_PARK = c(1.16828897329218,      1.65596921250538, 1.65596921250538, 1.11098670131371, 1.77379186206272,      0.894232249415992, 0.941534540217125, 1.08394438059851, 1.53366372097489,      1.53366372097489, 1.60860995669454, 0.408351250353425, 0.908868407872405,      1.05249384295472, 0.279857584881724, 0.4671588721782, 0.495024008458079,      0.399002951856213, 0.28862748451296, 0.28862748451296), PROX_GOOD_PRISCH = c(3.20846684942761,      2.86977258716747, 2.86977258716747, 3.63213704613537, 2.79995758206102,      3.868083844602, 3.77462248476967, 3.57098970158234, 3.0451226436528,      3.0451226436528, 2.96671225712824, 3.70512913004722, 3.66355651606602,      3.52335384407219, 4.40925832010736, 4.56048774292729, 4.62297298452196,      4.71207116352008, 4.50145006484821, 4.50145006484821), PROX_MALL = c(1.18405339004253,      0.992224857230604, 0.992224857230604, 0.890632544268956,      0.970860317849455, 1.18273225000282, 0.812522711759855, 0.528365937160055,      0.63262312230698, 0.63262312230698, 0.696065710972082, 0.743612757274357,      0.209686974260184, 0.184401966361696, 0.830412122132217,      0.362094853274792, 0.404565296260845, 0.420489734799516,      0.244046547559164, 0.244046547559164), PROX_CHAS = c(0.401816380076581,      0.156405874770629, 0.156405874770629, 0.116543108560641,      0.0639130956899198, 0.145112311632742, 0.237239443458304,      0.251376462502101, 0.278004299073392, 0.278004299073392,      0.22404402777184, 0.499618186459994, 0.176171654931402, 0.131272369045618,      0.120011087306801, 0.111500209373212, 0.0506108453744785,      0.110042750971165, 0.0462846720247782, 0.0462846720247782     ), PROX_SUPERMARKET = c(0.431453687618191, 0.156405662038775,      0.156405662038775, 0.205058734443685, 0.0639125072278545,      0.252387257990654, 0.125937465506006, 0.311533400888457,      0.278004958714438, 0.278004958714438, 0.224044642536509,      0.499617451823641, 0.176171398022836, 0.182486832055582,      0.0907294343182455, 0.111500172768761, 0.0506107476035619,      0.110042446678578, 0.169442491353445, 0.169442491353445),          WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 0L, 2L, 1L,          0L, 0L, 5L, 5L, 5L, 0L, 2L, 1L, 0L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 3L, 3L, 5L, 4L, 3L,          5L, 2L, 5L, 5L, 4L, 2L, 1L, 1L, 2L, 3L, 3L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 14L, 7L, 12L, 13L,          12L, 8L, 8L, 9L, 8L, 7L, 8L, 6L, 4L, 7L, 7L, 4L, 4L),          WITHIN_1KM_PRISCH = c(2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,          1L, 1L, 1L, 3L, 2L, 1L, 2L, 3L, 4L, 4L, 2L, 2L), DNeighbour = c(0,          482.510888807092, 487.44072653887, 496.283833897817,          603.110803870789, 659.934769353786, 673.718025517402,          699.476991183886, 732.155711374761, 732.891790974427,          748.42085236394, 795.547576985698, 1014.72578281609,          1328.21382207406, 1441.59843059171, 1550.91898061156,          1602.24639370601, 1716.1506629249, 1745.65018216753,          1753.39433121568)), row.names = c("320", "768", "333",      "709", "854", "375", "348", "140", "39", "982", "916", "69",      "216", "130", "610", "319", "389", "968", "550", "816"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.854279196198905, 0.851406512248431, 0.846192749193189,      0.777370739208506, 0.736750026821377, 0.72652156738948, 0.707040414614539,      0.681680844431046, 0.681101755092283, 0.668807688732748,      0.63065747382891, 0.442334368987643, 0.181628138448467, 0.104993440346617,      0.0473574562545706, 0.027216794312108, 0.0017665728649421,      7.76833504852607e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       15028622454 
R squared (OOB):                  0.3755987 

$Forests[[321]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(1110000, 1056800,      890000, 1038000, 1023801, 830000, 643888, 755000, 7e+05,      685000, 753000, 620000, 475000, 476000, 537000, 748000, 5e+05,      945500, 912000, 680000), floor_area_sqm = c(94, 95, 93, 95,      95, 94, 83, 90, 93, 93, 87, 103, 103, 103, 106, 107, 103,      87, 87, 91), storey_order = c(17L, 16L, 2L, 13L, 13L, 9L,      4L, 2L, 1L, 4L, 5L, 2L, 2L, 2L, 4L, 2L, 1L, 8L, 3L, 3L),          remaining_lease_mths = c(1086, 1081, 1079, 1088, 1085,          1088, 721, 983, 625, 1115, 1104, 911, 781, 774, 760,          899, 773, 1143, 1142, 984), PROX_CBD = c(1.77209924777956,          1.77209924777956, 1.67386574810093, 1.6109563636452,          1.64296215322618, 1.64296215322618, 1.53899731723416,          2.01305703462688, 2.09358084499411, 2.56060478168524,          2.5775653440094, 2.86182045335715, 3.09516181063763,          3.09516181063763, 3.12641734116327, 2.52364731081334,          3.24578829573265, 2.51922626320824, 2.51922626320824,          2.86455481676114), PROX_ELDERLYCARE = c(0.140516738363648,          0.140516738363648, 0.177855560288099, 0.267363987874465,          0.294850727643248, 0.294850727643248, 0.194322059338883,          0.301111196915018, 0.442569764285143, 0.303984777605612,          0.283170941801308, 0.334062202372697, 0.614909460801077,          0.614909460801077, 0.570344367187993, 0.132133546591398,          0.461566734593474, 1.25853619714168e-06, 1.25853619714168e-06,          0.111411798512938), PROX_HAWKER = c(0.23052169920376,          0.23052169920376, 0.190132187507835, 0.235977344459711,          0.280083683397779, 0.280083683397779, 0.0778854840685767,          0.439754799726314, 0.103399879312882, 0.450094806637729,          0.447120961378381, 0.231089093207534, 0.524942013349153,          0.524942013349153, 0.582032517556358, 0.315417458803045,          0.461305554076076, 0.187177165934232, 0.187177165934232,          0.302651224916382), PROX_MRT = c(0.454819638815125, 0.454819638815125,          0.379670718067057, 0.29771914919713, 0.262926729358016,          0.262926729358016, 0.338341879948785, 0.650763936895186,          0.681532284353367, 0.546591463865751, 0.499107329029013,          0.819080841065402, 1.19880844528061, 1.19880844528061,          1.19588154804183, 0.277076743329557, 1.11057161001852,          0.243725266054354, 0.243725266054354, 0.391395986196982         ), PROX_PARK = c(0.568364566172339, 0.568364566172339,          0.464667269713551, 0.367398542795172, 0.366095429090919,          0.366095429090919, 0.431332248643832, 0.806729342800227,          0.400473707610266, 0.21329655328302, 0.18481391877062,          0.609617368578913, 0.971409228458194, 0.971409228458194,          0.971029675538415, 0.163253442595557, 0.856773721705297,          0.28862748451296, 0.28862748451296, 0.399002951856213         ), PROX_GOOD_PRISCH = c(6.2014068010071, 6.2014068010071,          6.13913327172338, 6.05683769533381, 6.02306971378175,          6.02306971378175, 6.20754086879516, 6.32589195448141,          4.81109980295855, 4.93746215949662, 4.89009258041755,          5.1514664212482, 5.46565510857314, 5.46565510857314,          5.52416256345089, 4.61812725480087, 5.51078547454581,          4.50145006484821, 4.50145006484821, 4.71207116352008),          PROX_MALL = c(0.293469301127063, 0.293469301127063, 0.332985789848242,          0.415453175187746, 0.44820920236387, 0.44820920236387,          0.293332886646226, 0.368960166061844, 0.685370188976197,          0.572150632107275, 0.524781909718914, 0.848351644608041,          1.2281628510896, 1.2281628510896, 1.29251563056945, 0.290995843291254,          1.33172083977874, 0.244046547559164, 0.244046547559164,          0.420489734799516), PROX_CHAS = c(0.116110892529562,          0.116110892529562, 0.0280349864391529, 0.0860247998100326,          0.0951865321113252, 0.0951865321113252, 0.0279718763032621,          0.298496878246672, 0.165994533154508, 0.0640474788759872,          0.0301364724824846, 0.159666076311523, 0.240903750709302,          0.240903750709302, 0.202999736112437, 0.0122221533760307,          0.0869328465249217, 0.0462846720247782, 0.0462846720247782,          0.110042750971165), PROX_SUPERMARKET = c(0.203860721712114,          0.203860721712114, 0.185142915152075, 0.248046397132554,          0.28799517805095, 0.28799517805095, 0.114546579488019,          0.364789845186166, 0.346795592234613, 0.315915165677582,          0.275738565320567, 0.360029455717415, 0.240902416159861,          0.240902416159861, 0.202998478162502, 0.0373112013983995,          0.0869315055470345, 0.169442491353445, 0.169442491353445,          0.110042446678578), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(7L, 7L,          7L, 6L, 6L, 6L, 8L, 4L, 4L, 4L, 4L, 3L, 2L, 2L, 2L, 6L,          2L, 4L, 4L, 4L), WITHIN_350M_BUS = c(10L, 10L, 9L, 11L,          9L, 9L, 9L, 10L, 7L, 3L, 3L, 4L, 4L, 4L, 5L, 6L, 6L,          4L, 4L, 7L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 3L, 2L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L,          4L), DNeighbour = c(0, 5.69435934881862, 108.034445841444,          202.158298268929, 208.589219944507, 211.871316468566,          244.207351698091, 250.343345298834, 1388.69564825827,          1452.5336031981, 1496.67784621058, 1530.55089333906,          1583.09185684657, 1583.6597748606, 1590.9704091738, 1668.01980570409,          1706.53447966971, 1755.36288067559, 1763.48092990809,          1788.41609203377)), row.names = c("321", "509", "10",      "619", "91", "850", "524", "567", "824", "390", "999", "561",      "134", "126", "48", "65", "192", "816", "550", "968"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999979724088035, 0.992715089236962, 0.974608257611992,      0.972978307263581, 0.972127314174427, 0.96305612413385, 0.961194875526404,      0.157653430293952, 0.115836394038899, 0.0897858801759676,      0.0716006651765155, 0.0468440598968161, 0.0466009765210832,      0.0435207868549878, 0.0169281274599218, 0.00800535456535817,      0.00134117762478135, 0.000766780127526253, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       23343765105 
R squared (OOB):                  0.4189385 

$Forests[[322]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(363000, 358000, 340000,      4e+05, 430000, 345000, 370000, 355000, 672000, 660000, 440000,      550000, 675000, 710000, 662000, 715000, 680000, 380000, 685000,      380000), floor_area_sqm = c(84, 84, 84, 104, 104, 84, 84,      84, 85, 85, 91, 102, 95, 93, 95, 95, 95, 93, 93, 92), storey_order = c(4L,      3L, 1L, 2L, 2L, 1L, 3L, 3L, 5L, 3L, 5L, 3L, 2L, 6L, 3L, 6L,      4L, 3L, 2L, 1L), remaining_lease_mths = c(780, 770, 780,      783, 781, 789, 777, 782, 1042, 1032, 669, 761, 1093, 1084,      1093, 1099, 1084, 790, 1142, 767), PROX_CBD = c(6.82164733234375,      6.82164733234375, 6.73119135364588, 6.8579883001408, 7.27303659463988,      7.23308787648785, 7.32999369210923, 7.37752466520609, 6.58265946872266,      6.62545736407856, 6.95185067667089, 6.04257091454572, 6.15852201326599,      6.17931132662417, 6.11286474740545, 6.06656257116635, 6.04001281876484,      7.92065359752155, 6.19231755176043, 8.01258306529517), PROX_ELDERLYCARE = c(0.729511559050305,      0.729511559050305, 0.709869492714774, 0.650979480304367,      0.949520652768775, 0.804640181087392, 1.04617467786566, 1.11141904944431,      0.129826558983194, 0.121758896932011, 0.368543492371998,      0.548656319889636, 0.428116600598184, 0.411122241220865,      0.471592353212743, 0.516985202466339, 0.545921172841312,      1.44631042678071, 0.355678840187058, 1.38923408288603), PROX_HAWKER = c(0.834207881424508,      0.834207881424508, 0.84617550022745, 0.732876252375814, 0.905159668549179,      0.727393295990439, 1.00458194418859, 1.06790139631185, 0.37361464573735,      0.33268573973532, 0.163396016993116, 0.19523132016882, 0.104458461300263,      0.114709112077857, 0.0855319563513606, 0.0900485470251793,      0.0606577495598573, 0.646393168274836, 0.287310245845902,      0.532883444787396), PROX_MRT = c(0.401668294921849, 0.401668294921849,      0.447149108468339, 0.479854345281657, 0.477339162120678,      0.626719191507479, 0.446590670593176, 0.450606800129455,      0.288098631383321, 0.255638745600017, 0.258776848421036,      0.448203274012385, 0.567634817298681, 0.54480998513683, 0.576684647572531,      0.530436532640755, 0.53617676606472, 0.434970780163821, 0.3593423355956,      0.57194553577364), PROX_PARK = c(1.33915084667526, 1.33915084667526,      1.30601230217613, 1.26891760289394, 1.28136359713013, 1.17683143601381,      1.30043300411079, 1.30417314517193, 0.734858817801552, 0.741691321664553,      0.871860056746433, 0.651264615899835, 0.487498062645995,      0.461766774013401, 0.517760851715104, 0.548254609843109,      0.524571131123829, 0.790688256163915, 0.861129399478803,      0.580004121625521), PROX_GOOD_PRISCH = c(2.67483404440455,      2.67483404440455, 2.67147237000904, 2.57894825178105, 2.72285479219865,      2.53413597667736, 2.81856751915823, 2.87682745937193, 2.10026546945211,      2.08436883673306, 1.99104033276262, 2.14268529299874, 1.97696478280336,      1.95037752635058, 2.00772186702724, 2.03651743937875, 2.00925132829891,      2.86596411907387, 3.647323571983, 2.75227504535898), PROX_MALL = c(0.977306285381771,      0.977306285381771, 0.894914409230097, 0.985446043286547,      1.40144317349524, 1.33824767405872, 1.4733570331857, 1.52964479685301,      0.712222885156031, 0.757747380414752, 1.10491400246256, 0.264532440460292,      0.446404896609829, 0.476611693189829, 0.403935094648282,      0.365617038961166, 0.387042201482337, 2.02812113432733, 1.22999734499907,      2.11322307221905), PROX_CHAS = c(0.389404577789016, 0.389404577789016,      0.468632365618207, 0.418063314797021, 0.150676124399865,      0.335243362149438, 0.100781853121145, 0.123680988169118,      0.19769969897302, 0.152169077912936, 0.197049444171332, 0.12619956254809,      0.0766942583569258, 0.10259225576309, 0.0679258481743644,      0.0929349198733403, 0.134421273847083, 0.0418426354504526,      0.255647811562625, 0.1333322783253), PROX_SUPERMARKET = c(0.457775852816324,      0.457775852816324, 0.541263540151477, 0.471666412940503,      0.216512452964216, 0.400791637001426, 0.154588063793208,      0.15284622075069, 0.255985378039003, 0.21094349839638, 0.145490551360364,      0.178930757423705, 0.11965836137487, 0.134806953278168, 0.0895469396191502,      0.0785030623714358, 0.0393286469640316, 0.6226371739075,      0.108411284353298, 0.475213328012689), WITHIN_350M_KINDERGARTEN = c(0L,      0L, 0L, 0L, 1L, 1L, 1L, 2L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L,      1L, 2L, 0L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 1L,      4L, 2L, 4L, 5L, 0L, 0L, 3L, 4L, 3L, 3L, 3L, 3L, 4L, 3L, 2L,      2L), WITHIN_350M_BUS = c(4L, 4L, 4L, 3L, 7L, 4L, 8L, 9L,      2L, 2L, 4L, 7L, 6L, 6L, 6L, 8L, 8L, 6L, 10L, 6L), WITHIN_1KM_PRISCH = c(2L,      2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L,      1L, 3L, 1L, 2L), DNeighbour = c(0, 0.722697304440234, 94.4510198776589,      109.121153884033, 449.106293575645, 472.708725885573, 506.904657650852,      560.84720968622, 609.941695228928, 612.250617576648, 721.489813743275,      961.087146506033, 980.119639669787, 987.577481013771, 1002.33073618327,      1016.13298905306, 1058.82353975658, 1117.73393152475, 1225.04187418072,      1248.98028328158)), row.names = c("322", "46", "529", "168",      "611", "171", "187", "948", "388", "841", "492", "453", "23",      "756", "536", "297", "930", "1", "305", "200"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999999330375049, 0.988595177208093, 0.984791862508106,      0.758124404357831, 0.734031050774011, 0.697695805431665,      0.63737774572455, 0.579901405722313, 0.577149531121058, 0.443962820497197,      0.166360930865796, 0.147601649667409, 0.140461850718679,      0.12670953836683, 0.114314128753252, 0.079140521824531, 0.0396500545049502,      0.00144136976870141, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3526233870 
R squared (OOB):                  0.8490485 

$Forests[[323]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 415000, 450000,      418888, 442500, 418000, 335000, 345000, 382000, 425000, 430000,      418000, 395000, 425000, 462000, 443000, 447888, 459000, 334008,      445000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 102,      90, 93, 93, 92, 92, 93, 93, 93, 93, 93, 93, 103, 93), storey_order = c(1L,      2L, 4L, 3L, 6L, 5L, 4L, 5L, 1L, 5L, 5L, 3L, 2L, 4L, 5L, 5L,      5L, 4L, 2L, 4L), remaining_lease_mths = c(1132, 1132, 1135,      1136, 1138, 1142, 940, 937, 1111, 1134, 1137, 1134, 1138,      1134, 1134, 1134, 1137, 1138, 917, 1133), PROX_CBD = c(14.6424103631698,      14.6122009832922, 14.5310939664424, 14.4158973706441, 14.4158973706441,      14.4012043650842, 14.4474740114555, 14.2787185061121, 14.29200158436,      14.3486805845321, 14.2919055230493, 14.318757359464, 14.318757359464,      14.318757359464, 14.1475961545785, 14.1475961545785, 14.1475961545785,      14.1715462602585, 14.2719972222741, 14.1149653809405), PROX_ELDERLYCARE = c(1.72557175775889,      1.68824062303628, 1.79186944623163, 1.86115765343828, 1.86115765343828,      1.94149260139439, 1.50338082315219, 1.77826193055387, 2.00367987562091,      2.08279710659019, 2.08663557441472, 2.13920478430288, 2.13920478430288,      2.13920478430288, 2.03155968851809, 2.03155968851809, 2.03155968851809,      2.09595649451453, 1.50921581969441, 2.12564955085825), PROX_HAWKER = c(0.740384095011384,      0.707122679385598, 0.816792492128141, 0.900970586039013,      0.900970586039013, 0.977925494011815, 0.588144724666333,      0.865181709866835, 1.05572120633707, 1.11865892678262, 1.13160866269818,      1.17625726432186, 1.17625726432186, 1.17625726432186, 1.0452124348096,      1.0452124348096, 1.0452124348096, 1.11030496241672, 0.684102697062058,      1.06810792734919), PROX_MRT = c(0.312698200175978, 0.295449456212788,      0.197201307651512, 0.0830542408041225, 0.0830542408041225,      0.117672709296806, 0.224566301285939, 0.14195902454703, 0.129588785375857,      0.228370105834555, 0.215635082050947, 0.277525006355607,      0.277525006355607, 0.277525006355607, 0.206896355650083,      0.206896355650083, 0.206896355650083, 0.236487582928319,      0.347262283963267, 0.282489779359316), PROX_PARK = c(1.78460824921244,      1.76906915549279, 1.79335149216305, 1.70853765465547, 1.70853765465547,      1.73691437359179, 1.55939681176166, 1.51686048726609, 1.659682039687,      1.76668334590621, 1.71136953372848, 1.77227256709076, 1.77227256709076,      1.77227256709076, 1.52292224478236, 1.52292224478236, 1.52292224478236,      1.59201213147604, 1.38760566459916, 1.55223981690243), PROX_GOOD_PRISCH = c(5.77937603269072,      5.7298925008129, 5.7030752613132, 5.62289607338158, 5.62289607338158,      5.65284274036128, 5.45861643017911, 5.42826997650874, 5.57470277830303,      5.67955556528646, 5.62322031775431, 5.68167095374807, 5.68167095374807,      5.68167095374807, 5.43570837857945, 5.43570837857945, 5.43570837857945,      5.50129862889456, 5.26118802945754, 5.45814117537329), PROX_MALL = c(0.482269498416602,      0.426875162675013, 0.466036051693473, 0.475045953779526,      0.475045953779526, 0.544441659044551, 0.12145856762689, 0.338911837083335,      0.462705775504015, 0.571430807201143, 0.517951444315281,      0.582562895872492, 0.582562895872492, 0.582562895872492,      0.329425359540921, 0.329425359540921, 0.329425359540921,      0.405991175981987, 0.108121271181015, 0.377565489031552),          PROX_CHAS = c(0.280031834846542, 0.270793953405505, 0.162368565956873,          0.0420419616737589, 0.0420419616737589, 0.0706873614354785,          0.121458549123021, 0.18872293939054, 0.0888572682655253,          0.0590253437170886, 3.54155757628082e-08, 0.0707174365033835,          0.0707174365033835, 0.0707174365033835, 0.188783823394846,          0.188783823394846, 0.188783823394846, 0.12657377242065,          0.108121286081234, 0.179884741524278), PROX_SUPERMARKET = c(0.280032026158491,          0.270794118098451, 0.162368758687164, 0.0420421510628514,          0.0420421510628514, 0.0706874850207218, 0.134916350552101,          0.188722783027928, 0.124391003677116, 0.199153546859355,          0.199383936085002, 0.25307995359875, 0.25307995359875,          0.25307995359875, 0.235757849482592, 0.235757849482592,          0.235757849482592, 0.248308073473709, 0.105248463653719,          0.299769914037237), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,          2L, 2L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(3L, 5L,          4L, 5L, 5L, 5L, 5L, 6L, 5L, 4L, 5L, 4L, 4L, 4L, 6L, 6L,          6L, 5L, 4L, 6L), WITHIN_350M_BUS = c(6L, 6L, 8L, 7L,          7L, 6L, 11L, 8L, 5L, 4L, 4L, 3L, 3L, 3L, 6L, 6L, 6L,          5L, 10L, 5L), WITHIN_1KM_PRISCH = c(3L, 4L, 3L, 4L, 4L,          3L, 5L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L,          4L), DNeighbour = c(0, 57.3237867635143, 120.271793805605,          243.539043367805, 245.247589750737, 293.413323707764,          360.01276928066, 379.727288994515, 395.527325908289,          412.308413148833, 449.390637074628, 466.35171433585,          469.400853587593, 473.481852372304, 517.050558018931,          520.334361926088, 521.903651056498, 528.514738041825,          547.807021907806, 585.371666100942)), row.names = c("323",      "489", "609", "100", "33", "633", "826", "329", "989", "217",      "267", "58", "840", "205", "207", "966", "623", "277", "381",      "519"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98091250426704,      0.917352592502295, 0.683778949157399, 0.67975428090913, 0.560635055286286,      0.386580125278772, 0.335467598588152, 0.295336480647026,      0.253901658239199, 0.168620764869279, 0.133449148739136,      0.127434853325526, 0.119543531247354, 0.0483146605978484,      0.0440430744688112, 0.0420624224206867, 0.0341603097101929,      0.0154322256865611, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1373572836 
R squared (OOB):                  0.1094166 

$Forests[[324]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 395000, 380000,      380000, 412000, 390000, 390000, 350000, 350000, 390000, 368888,      377000, 368000, 340000, 375000, 385000, 370000, 4e+05, 3e+05,      420000), floor_area_sqm = c(93, 93, 93, 92, 92, 92, 93, 92,      92, 92, 92, 92, 92, 92, 92, 92, 92, 96, 85, 92), storey_order = c(1L,      4L, 3L, 2L, 3L, 4L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 3L,      1L, 2L, 4L, 4L), remaining_lease_mths = c(1111, 1108, 1110,      1142, 1128, 1142, 1113, 1131, 1111, 1128, 1102, 1135, 1100,      1133, 1139, 1132, 1090, 1098, 798, 1133), PROX_CBD = c(14.6221320584002,      14.6649260398624, 14.607628567626, 14.4940333615496, 14.5596883563906,      14.5596883563906, 14.6879879340018, 14.6346875310408, 14.8482953663728,      14.5136499050456, 14.8482953663728, 14.5662038835035, 14.9752079088984,      14.8395197777251, 14.8395197777251, 14.9536689261967, 15.0414874321427,      15.0414874321427, 14.6468242567931, 14.7615340778399), PROX_ELDERLYCARE = c(0.410896008057539,      0.374463671675583, 0.363539264939185, 0.500918112427577,      0.399519357429504, 0.399519357429504, 0.267910637295867,      0.318998242024868, 0.157028625587627, 0.440212280139716,      0.157028625587627, 0.396119369193007, 0.199763345782594,      0.143171284390361, 0.143171284390361, 1.13414610370389e-06,      0.180026828914976, 0.180026828914976, 0.791783477476035,      0.301679225956583), PROX_HAWKER = c(0.55845452984231, 0.515424723672587,      0.571839614015762, 0.682637638745144, 0.625641729464286,      0.625641729464286, 0.507741768149319, 0.567748890704442,      0.332945546865787, 0.681591249319273, 0.332945546865787,      0.661743266121302, 0.202333554334061, 0.426817039061835,      0.426817039061835, 0.283688306330561, 0.135868389364205,      0.135868389364205, 0.771377618176498, 0.582527401679673),          PROX_MRT = c(1.30119397664661, 1.31347134818138, 1.42703012637354,          1.32800225952209, 1.46473462254762, 1.46473462254762,          1.51619569366002, 1.53691575721219, 1.41585626072206,          1.51230084146916, 1.41585626072206, 1.61118001364451,          1.27457972333389, 1.58589972239689, 1.58589972239689,          1.45204946878565, 1.27219969611937, 1.27219969611937,          0.834242720427877, 1.75082728996661), PROX_PARK = c(0.524601749565547,          0.48594234877488, 0.592644125813336, 0.65941869562705,          0.656743209310805, 0.656743209310805, 0.573128508978659,          0.633519966923, 0.40224168015695, 0.723946747094916,          0.40224168015695, 0.741043428920938, 0.259935562114549,          0.573834160005083, 0.573834160005083, 0.447466290733612,          0.270313948020077, 0.270313948020077, 0.572284771964545,          0.739209778966795), PROX_GOOD_PRISCH = c(5.26427170666348,          5.30673314037113, 5.28617698570013, 5.15263130971644,          5.25302892838613, 5.25302892838613, 5.38500296681299,          5.34297669438126, 5.51627049340211, 5.22451833965112,          5.51627049340211, 5.30307595814772, 5.6171537261999,          5.56483468018996, 5.56483468018996, 5.64958645026222,          5.69200203864946, 5.69200203864946, 5.17213285521296,          5.53447364393692), PROX_MALL = c(0.412850725186958, 0.439421746266814,          0.523782484457491, 0.407798057490129, 0.550646738699849,          0.550646738699849, 0.626246838364162, 0.633302242537752,          0.649229394533883, 0.591658790399046, 0.649229394533883,          0.69438942428714, 0.689421511186311, 0.805396060532061,          0.805396060532061, 0.806257336881612, 0.767711199656331,          0.767711199656331, 0.253080993480643, 0.897398400321744         ), PROX_CHAS = c(0.0938393111767789, 0.0969357032130768,          0.198893245072118, 0.0559452214520875, 0.19650938121062,          0.19650938121062, 0.160113448728027, 0.120955806912261,          0.274130336331615, 0.179710137259641, 0.274130336331615,          0.0799578054615725, 0.230775629929228, 0.204546662914522,          0.204546662914522, 0.14456617920399, 0.163757574589084,          0.163757574589084, 0.118994056415591, 0.166975848000366         ), PROX_SUPERMARKET = c(0.0938384818523742, 0.0969351949685631,          0.223766299699327, 0.202112654374605, 0.27843134046436,          0.27843134046436, 0.300165340388346, 0.327836032489634,          0.296829834724774, 0.343491998264143, 0.296829834724774,          0.41943325951703, 0.264202614673064, 0.280088374069707,          0.280088374069707, 0.16127040484797, 0.197268674737732,          0.197268674737732, 0.246822057901315, 0.408349928269047         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 4L, 4L, 3L, 3L,          6L, 6L, 5L, 4L, 5L, 3L, 4L, 5L, 5L, 7L, 4L, 4L, 5L, 3L         ), WITHIN_350M_BUS = c(9L, 8L, 7L, 9L, 7L, 7L, 7L, 8L,          9L, 6L, 9L, 6L, 9L, 5L, 5L, 6L, 9L, 9L, 9L, 4L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 41.7747428698056,          125.471679066543, 134.054726009275, 183.648214345319,          188.131809886046, 214.428527622163, 234.618263909977,          255.413320933705, 255.560269374599, 257.681579578075,          326.063600320623, 358.029900896056, 392.314446277507,          393.211836231281, 413.585433141842, 430.44030781888,          430.874167926049, 486.336383048038, 490.643776310595)), row.names = c("324",      "17", "452", "702", "961", "163", "469", "583", "762", "706",      "195", "368", "558", "543", "152", "139", "793", "632", "862",      "620"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.985553988489629,      0.873482484775781, 0.856272031434594, 0.739426514261041,      0.727565951873257, 0.654481589792052, 0.594964708507308,      0.531454457228568, 0.530999782356768, 0.524428940705509,      0.311761745275966, 0.218571846184001, 0.130071243925848,      0.127967643233074, 0.0837782377419314, 0.0530611190042326,      0.0523483787874879, 0.000305587341174743, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       704235999 
R squared (OOB):                  0.04969538 

$Forests[[325]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(432000, 393000, 438000,      385000, 425000, 431000, 432000, 438000, 435000, 430000, 448000,      440000, 450000, 420000, 425000, 323000, 395000, 358000, 450000,      445000), floor_area_sqm = c(93, 93, 93, 93, 94, 92, 92, 94,      95, 92, 96, 96, 94, 94, 94, 90, 94, 93, 93, 94), storey_order = c(5L,      2L, 4L, 1L, 5L, 7L, 6L, 5L, 6L, 6L, 9L, 7L, 7L, 7L, 6L, 1L,      4L, 1L, 9L, 6L), remaining_lease_mths = c(1138, 1134, 1132,      1134, 1083, 1138, 1137, 1076, 1105, 1126, 1110, 1108, 1119,      1120, 1119, 983, 1113, 1103, 1136, 1109), PROX_CBD = c(11.7767430748854,      11.7767430748854, 11.710716376044, 11.6526890235784, 11.8751655684431,      11.9317097346946, 11.9317097346946, 11.9414743986494, 11.6071858552171,      12.0797672032522, 11.5810624146691, 11.6053344020152, 12.0119641769274,      12.0119641769274, 11.9828723130509, 12.0200214112876, 11.9744040829633,      11.8075546541859, 12.1741021183779, 12.1122271384014), PROX_ELDERLYCARE = c(0.813774711283767,      0.813774711283767, 0.893667704764373, 0.935812608446987,      0.727329111385366, 0.680106913101551, 0.680106913101551,      0.687500817542951, 1.02315858897206, 0.550577233037288, 1.05973522725621,      1.04503450829128, 0.673044116243487, 0.673044116243487, 0.710325725805382,      0.618171206910468, 0.738781707341689, 0.922118515238085,      0.519600844901231, 0.629785153682861), PROX_HAWKER = c(0.340776861445006,      0.340776861445006, 0.445365536494089, 0.34883542271072, 0.145379780608352,      0.161367564791002, 0.161367564791002, 0.147098227142532,      0.193888136950838, 0.286867197183981, 0.226379932511381,      0.210992660312359, 0.222580914455278, 0.222580914455278,      0.20448046373977, 0.743318510800665, 0.217370340361849, 0.209140712961875,      0.375471053349032, 0.337796349528525), PROX_MRT = c(0.162476645519961,      0.162476645519961, 0.261259630709371, 0.28284034831035, 0.191731142133254,      0.214149342621172, 0.214149342621172, 0.183575431830776,      0.216093917824789, 0.285059794417971, 0.233016580221366,      0.206803096961617, 0.201095784108649, 0.201095784108649,      0.170867756883987, 0.291532437270123, 0.167322140356011,      0.120215557602138, 0.338849049026276, 0.302747284955937),          PROX_PARK = c(0.615413214289157, 0.615413214289157, 0.569724311118431,          0.489736206412745, 0.723512884628395, 0.785212145526225,          0.785212145526225, 0.807374064658721, 0.521580333579447,          0.747342190235743, 0.520771390450273, 0.554363925008431,          0.691047645736797, 0.691047645736797, 0.697136724289492,          0.871053837980522, 0.679906922269617, 0.747098338531098,          0.612679613149166, 0.576425078157325), PROX_GOOD_PRISCH = c(2.03585243074848,          2.03585243074848, 1.9723226064342, 1.91178525383739,          2.14229157607785, 2.20126444296921, 2.20126444296921,          2.21615815400514, 1.89230283405924, 2.35145083667271,          1.87254500118751, 1.90056431650247, 2.29976812492723,          2.29976812492723, 2.27447890050516, 2.31713852475231,          2.27223739349538, 2.12338877581429, 2.45580221931744,          2.408030235171), PROX_MALL = c(0.437539575450179, 0.437539575450179,          0.535719768985538, 0.427385274755512, 0.249449426365425,          0.255684281538694, 0.255684281538694, 0.22663965361209,          0.173810560938293, 0.356578632219481, 0.185878129611589,          0.158081786709397, 0.251262654177611, 0.251262654177611,          0.220402811054307, 0.859289251142989, 0.214069216816763,          0.119447773727589, 0.416829357908565, 0.350899017798137         ), PROX_CHAS = c(0.108183414657245, 0.108183414657245,          0.215330181794506, 0.225869963934761, 0.179410689617013,          0.203726500797623, 0.203726500797623, 0.156140837156126,          0.173810611614792, 0.146949814741425, 0.185878170229198,          0.158081821824728, 0.131248018016709, 0.131248018016709,          0.0995919009989899, 0.310908028614088, 0.0939357367291076,          0.11944771257822, 0.0461624602204791, 0.0703863092474096         ), PROX_SUPERMARKET = c(0.108294583955479, 0.108294583955479,          0.215506457059651, 0.225911825558638, 0.179159947933279,          0.217804588957955, 0.217804588957955, 0.236998053946951,          0.1671684124578, 0.315486318912089, 0.177355035948325,          0.148884454693003, 0.261515416493987, 0.261515416493987,          0.230351837454113, 0.507879796624066, 0.22318738818849,          0.119571834445138, 0.427183407476201, 0.360308355053667         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L, 3L, 7L, 6L,          6L, 6L, 4L, 5L, 4L, 4L, 6L, 6L, 6L, 1L, 7L, 4L, 7L, 7L         ), WITHIN_350M_BUS = c(4L, 4L, 2L, 4L, 6L, 8L, 8L, 8L,          6L, 9L, 7L, 8L, 6L, 6L, 7L, 6L, 10L, 10L, 5L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          4L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 2.33073963192707,          110.77624831668, 123.275393672545, 243.733338548774,          296.687780235637, 296.707271032144, 347.756541439549,          389.857011629348, 416.518059059298, 440.701042253724,          447.83559290543, 473.602268684369, 475.658810152605,          488.131114096746, 507.636079004003, 516.408678165663,          547.197566257429, 552.23384448856, 580.789685929914)), row.names = c("325",      "939", "384", "309", "250", "613", "392", "781", "922", "900",      "182", "158", "947", "167", "203", "909", "858", "724", "621",      "607"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999967791075006,      0.9285646635073, 0.911925498398676, 0.67878934177737, 0.546191148495936,      0.546140469504087, 0.411497185910678, 0.301861198924836,      0.235889124706682, 0.179969594454407, 0.164377446082653,      0.112257715201496, 0.108413069779993, 0.0862157636252856,      0.0557177454925414, 0.0438541060738596, 0.0126184967357157,      0.009200092656545, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       860546458 
R squared (OOB):                  0.2165811 

$Forests[[326]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(343000, 3e+05, 335000,      375000, 417000, 392000, 340888, 355000, 325000, 330000, 335000,      388000, 320000, 314000, 363000, 335000, 297000, 315000, 333000,      385000), floor_area_sqm = c(107, 106, 105, 108, 92, 113,      107, 104, 90, 91, 90, 104, 91, 91, 104, 114, 90, 90, 108,      104), storey_order = c(2L, 2L, 2L, 2L, 2L, 2L, 4L, 4L, 5L,      1L, 3L, 6L, 8L, 3L, 5L, 3L, 2L, 5L, 4L, 1L), remaining_lease_mths = c(907,      941, 938, 909, 1120, 933, 883, 882, 992, 987, 979, 904, 995,      985, 918, 904, 995, 1001, 895, 863), PROX_CBD = c(17.2160129653012,      17.3741762112269, 17.3741762112269, 16.9875722318911, 16.7161737209409,      16.6579104452557, 16.7669966667855, 16.7669966667855, 17.2610384590751,      17.2817356498826, 17.0600275230943, 16.3777502460772, 16.7093180086981,      17.0716695500607, 16.295166477654, 16.3642048862006, 16.901501451739,      16.8082045368238, 16.5397910410307, 16.2492480828887), PROX_ELDERLYCARE = c(0.574386357445605,      0.815153211361198, 0.815153211361198, 0.636322412867891,      9.26628957858198e-07, 0.409372351007212, 0.121542639162494,      0.121542639162494, 1.12094638660826, 1.19353475005496, 1.09431476347566,      0.465083314136851, 0.935779967581661, 1.21621641692937, 0.514795208711411,      0.361422596457277, 1.16689850532437, 1.15380285023885, 0.706939892416911,      0.836071823435323), PROX_HAWKER = c(2.37357884684332, 2.50067722531469,      2.50067722531469, 2.10596394293278, 1.96687058888139, 1.80129318596364,      2.05474291859885, 2.05474291859885, 2.37726799660773, 2.40388099430384,      2.18272534115171, 1.54627052523026, 1.82495077083007, 2.2102134433082,      1.47281657351752, 1.67761333691466, 2.0413146444202, 1.94950915107796,      2.14655926815246, 2.17952287051713), PROX_MRT = c(0.453815632281196,      0.590831178240684, 0.590831178240684, 0.252669932820992,      0.427108887982576, 0.128609360773056, 0.53300655679357, 0.53300655679357,      0.729621307242001, 0.797812759521718, 0.673816738147829,      0.419412974707088, 0.522077155701705, 0.793158171270894,      0.504795745143921, 0.653367521351592, 0.740013435080822,      0.730447684580082, 0.460645764817668, 0.290093838525113),          PROX_PARK = c(1.24959985284921, 1.47164498360674, 1.47164498360674,          1.18807543108152, 0.688779163701323, 0.826869373992433,          0.722711239268322, 0.722711239268322, 1.64853798443183,          1.70244245234235, 1.5130077643247, 0.571339732684777,          1.17885821480356, 1.59669720594139, 0.48638578612152,          0.32735774848914, 1.46267930314228, 1.39545287332227,          0.711243459523284, 0.886796559947336), PROX_GOOD_PRISCH = c(7.68034428555912,          7.888904100652, 7.888904100652, 7.55033959010056, 7.12110535783693,          7.18541951227303, 7.13952904562396, 7.13952904562396,          7.93716312588154, 7.98012169831377, 7.76907239486735,          6.89348817522951, 7.40748446052123, 7.82238149093771,          6.80828229467371, 6.76031366250815, 7.66085245964853,          7.5739079893598, 6.77397603493671, 6.4097782056775),          PROX_MALL = c(0.413606644895247, 0.521008948961951, 0.521008948961951,          0.165557901737932, 0.337595745740984, 0.168053149288668,          0.27529824968273, 0.27529824968273, 0.644198936007264,          0.713200150273906, 0.597930181439745, 0.427317836890542,          0.484270435079706, 0.719585865775528, 0.510483215269896,          0.388175183991252, 0.678684538412688, 0.677813655888015,          0.345326846187852, 0.355568776497803), PROX_CHAS = c(0.303266380929536,          0.524369302913132, 0.524369302913132, 0.194474796894964,          0.279591917356114, 0.170995488718356, 0.222759343861358,          0.222759343861358, 0.678651577140463, 0.748586514709626,          0.638199243310692, 0.429996386722335, 0.52365796939069,          0.760340467100735, 0.513107963149175, 0.380772978950647,          0.720584477651296, 0.71936188995133, 0.286223989121013,          0.121251060497272), PROX_SUPERMARKET = c(0.387759857324111,          0.559408220033625, 0.559408220033625, 0.284398337107734,          0.344537051235884, 0.103652200866821, 0.243987988302975,          0.243987988302975, 0.771245719522698, 0.842475689687135,          0.718466194952364, 0.386156989530241, 0.555366708418936,          0.837223205851576, 0.471223408024363, 0.422789252098693,          0.780695486504835, 0.768274584157999, 0.377165028023417,          0.350013224352412), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 0L, 2L, 2L, 0L, 0L, 1L, 0L, 1L, 1L, 0L,          1L, 1L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 4L,          4L, 4L, 6L, 5L, 5L, 5L, 3L, 3L, 2L, 3L, 1L, 2L, 3L, 4L,          1L, 1L, 1L, 4L), WITHIN_350M_BUS = c(5L, 2L, 2L, 11L,          12L, 9L, 11L, 11L, 5L, 5L, 7L, 8L, 8L, 5L, 7L, 6L, 7L,          9L, 2L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L,          4L, 3L, 3L, 2L, 2L, 2L, 4L, 3L, 2L, 3L, 3L, 2L, 2L, 3L,          3L), DNeighbour = c(0, 256.522116184954, 259.504205995032,          378.696144692161, 567.450945482909, 572.285114687249,          595.500366921426, 598.048666304293, 710.024902056376,          781.00427359762, 785.433184136684, 835.435854289674,          836.49093479709, 911.89803609114, 919.681790919327, 922.784658848403,          937.414922525341, 968.432492179486, 1182.63644157686,          1642.57726484208)), row.names = c("326", "813", "822",      "125", "261", "918", "673", "898", "525", "127", "208", "820",      "156", "431", "451", "252", "416", "121", "498", "711"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.95181638288048, 0.950703830215717, 0.896518691806388, 0.775552839718398,      0.771960260163325, 0.754404411352121, 0.752447418313711,      0.661211212285041, 0.598957757254468, 0.594984338093605,      0.549544963390839, 0.548576035862062, 0.47857907894982, 0.471296109919117,      0.468391301813742, 0.454686202268304, 0.425618113613437,      0.23195476361963, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       559169041 
R squared (OOB):                  0.4706602 

$Forests[[327]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(378000, 352000, 410000,      380000, 380000, 492500, 377000, 388000, 360000, 385000, 355000,      370000, 430000, 345000, 650000, 655000, 640000, 4e+05, 440000,      465000), floor_area_sqm = c(84, 84, 103, 92, 93, 108, 98,      98, 83, 91, 84, 84, 104, 84, 104, 87, 87, 104, 91, 104),          storey_order = c(3L, 2L, 2L, 1L, 3L, 2L, 3L, 2L, 3L,          1L, 3L, 3L, 2L, 1L, 3L, 1L, 4L, 2L, 5L, 3L), remaining_lease_mths = c(799,          800, 799, 767, 790, 912, 735, 728, 803, 715, 782, 777,          781, 789, 815, 1123, 1121, 783, 669, 760), PROX_CBD = c(8.15960948514705,          8.28689365911172, 8.31972436488376, 8.01258306529517,          7.92065359752155, 8.12312779702036, 8.07728506382532,          8.19895861369783, 8.52567265657093, 8.8262745849674,          7.37752466520609, 7.32999369210923, 7.27303659463988,          7.23308787648785, 7.71625132507906, 9.39818328429371,          9.42381765287156, 6.8579883001408, 6.95185067667089,          8.64488888098128), PROX_ELDERLYCARE = c(1.45090119588013,          1.3668692597991, 1.3912791419992, 1.38923408288603, 1.44631042678071,          1.71708078323557, 1.22552837794249, 1.1658248464307,          1.23693676843424, 0.896855030989675, 1.11141904944431,          1.04617467786566, 0.949520652768775, 0.804640181087392,          1.13999552495818, 0.718190414835305, 0.750155484045513,          0.650979480304367, 0.368543492371998, 0.17844978767297         ), PROX_HAWKER = c(0.40344417957638, 0.269406334629514,          0.252588085280054, 0.532883444787396, 0.646393168274836,          0.581802643409563, 0.503102516785602, 0.391405491562813,          0.0724679807682574, 0.311054993693233, 1.06790139631185,          1.00458194418859, 0.905159668549179, 0.727393295990439,          0.888477780938884, 0.640059738279374, 0.667492197519696,          0.732876252375814, 0.163396016993116, 0.917919654697093         ), PROX_MRT = c(0.408889372474398, 0.467794692056616,          0.44379796826936, 0.57194553577364, 0.434970780163821,          0.142211914808532, 0.711885268750489, 0.707144761815547,          0.510058766918036, 0.17731989795878, 0.450606800129455,          0.446590670593176, 0.477339162120678, 0.626719191507479,          0.227897729387739, 0.401734036242065, 0.423547456258288,          0.479854345281657, 0.258776848421036, 0.91698472228942         ), PROX_PARK = c(0.650146210437373, 0.570592214216024,          0.59965919275643, 0.580004121625521, 0.790688256163915,          0.921087542045637, 0.413960848298732, 0.372450573927522,          0.557643312318536, 0.458605630557841, 1.30417314517193,          1.30043300411079, 1.28136359713013, 1.17683143601381,          0.374132090410645, 0.220484561261844, 0.258916726718906,          1.26891760289394, 0.871860056746433, 0.238119977580318         ), PROX_GOOD_PRISCH = c(2.95345383530684, 2.99359805566516,          3.04207330950824, 2.75227504535898, 2.86596411907387,          3.16123688190063, 2.66084492380109, 2.73491137460549,          3.13534109620979, 2.8424495793979, 2.87682745937193,          2.81856751915823, 2.72285479219865, 2.53413597667736,          1.93537396204111, 2.27458198186913, 2.24680049319454,          2.57894825178105, 1.99104033276262, 2.37381492496372),          PROX_MALL = c(2.20417563031698, 2.09618768409308, 2.10790194839897,          2.11322307221905, 2.02812113432733, 2.25269448786787,          2.0316459728171, 1.94983703099632, 1.96281231550532,          1.64561868645684, 1.52964479685301, 1.4733570331857,          1.40144317349524, 1.33824767405872, 1.9342939090943,          1.45650167595406, 1.48330987402926, 0.985446043286547,          1.10491400246256, 1.00281364182829), PROX_CHAS = c(0.102408834624747,          0.229330661012247, 0.261198443001062, 0.1333322783253,          0.0418426354504526, 0.169904154790832, 0.279534674537085,          0.293834776478611, 0.169369143123463, 0.221229860630612,          0.123680988169118, 0.100781853121145, 0.150676124399865,          0.335243362149438, 0.147762521806201, 0.109789289200213,          0.0719365450960561, 0.418063314797021, 0.197049444171332,          0.256340531367836), PROX_SUPERMARKET = c(0.391977689272912,          0.266710264104055, 0.272257424647181, 0.475213328012689,          0.6226371739075, 0.496146947525001, 0.412975566732202,          0.293834967432244, 0.169391527985645, 0.221249484047241,          0.15284622075069, 0.154588063793208, 0.216512452964216,          0.400791637001426, 0.185503456748824, 0.13637298984998,          0.100679215951394, 0.471666412940503, 0.145490551360364,          0.24778575064029), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 1L,          1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L,          2L, 3L, 1L, 2L, 3L, 3L, 2L, 5L, 4L, 4L, 2L, 3L, 6L, 6L,          1L, 3L, 4L), WITHIN_350M_BUS = c(7L, 7L, 9L, 6L, 6L,          8L, 6L, 7L, 8L, 5L, 9L, 8L, 7L, 4L, 6L, 6L, 5L, 3L, 4L,          8L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 2L, 3L, 1L, 2L,          1L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 2L, 2L, 2L),          DNeighbour = c(0, 136.177119180559, 169.262625875219,          202.636864608685, 235.976717832668, 283.661982564025,          301.872689426719, 302.088047005392, 374.942607151488,          717.819705691474, 837.776602140325, 869.607578740637,          905.155800624596, 923.946565138807, 1021.85879287195,          1279.36453623626, 1297.47007550058, 1306.55842641535,          1312.22893715995, 1323.86915271969)), row.names = c("327",      "266", "540", "200", "1", "669", "395", "29", "404", "814",      "948", "187", "611", "171", "809", "657", "9", "168", "492",      "487"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.978950370016248,      0.967573671682803, 0.953691651813801, 0.937464945306037,      0.910286749890737, 0.898714401697959, 0.898573698947552,      0.846009924518693, 0.498442407309111, 0.359440267103579,      0.323219694022579, 0.283584982952886, 0.263083144083889,      0.163387457158769, 0.00436974592639874, 0.00155899131145964,      0.000674998840838097, 0.000306524312634922, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10430928386 
R squared (OOB):                  -0.03625119 

$Forests[[328]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 312000, 330000,      345888, 306000, 4e+05, 373000, 398000, 410000, 420000, 435000,      395000, 425000, 410000, 320000, 418000, 345000, 455000, 465000,      365000), floor_area_sqm = c(104, 107, 107, 104, 109, 92,      92, 92, 92, 92, 92, 107, 93, 93, 104, 112, 95, 106, 106,      91), storey_order = c(2L, 1L, 3L, 4L, 1L, 1L, 1L, 2L, 3L,      5L, 4L, 2L, 4L, 4L, 2L, 5L, 3L, 4L, 2L, 4L), remaining_lease_mths = c(779,      779, 776, 763, 773, 1127, 1128, 1136, 1131, 1134, 1129, 755,      1126, 1117, 772, 904, 1003, 933, 933, 1061), PROX_CBD = c(16.6890813896757,      16.6890813896757, 16.4773488158513, 16.5598581376431, 16.2343575305192,      17.1731083577317, 17.1731083577317, 17.26435404508, 17.2397585888566,      17.2397585888566, 17.2397585888566, 15.936744569076, 17.3263676504413,      17.3263676504413, 16.0390890659677, 17.2048826778539, 17.7047470513727,      17.1634204962367, 17.1401277939721, 17.5974072281911), PROX_ELDERLYCARE = c(0.296144426041885,      0.296144426041885, 0.393080972860029, 0.633922933695123,      0.63095091801206, 0.456899326246073, 0.456899326246073, 0.542806768712765,      0.500148198332671, 0.500148198332671, 0.500148198332671,      0.526555480516014, 0.561119780492452, 0.561119780492452,      0.520751571920202, 0.400468425457175, 0.933045885854195,      0.565792923614884, 0.586863575497558, 0.819477307137174),          PROX_HAWKER = c(0.360513691606501, 0.360513691606501,          0.170796598263111, 0.402483389428837, 0.355821892612055,          0.507233229895407, 0.507233229895407, 0.598096651463893,          0.55990768529081, 0.55990768529081, 0.55990768529081,          0.44834457013621, 0.631285601786086, 0.631285601786086,          0.601123999453785, 0.498365875295267, 1.00938993481846,          0.666841975849823, 0.685044657792881, 0.922900854400271         ), PROX_MRT = c(0.937471590679814, 0.937471590679814,          0.826410504821953, 1.05011238745279, 0.864165890870668,          1.18009183772516, 1.18009183772516, 1.20599959693509,          1.16124452414741, 1.16124452414741, 1.16124452414741,          0.239432195714991, 1.13344401626098, 1.13344401626098,          0.965829261077996, 0.87869292375624, 1.29287496569192,          0.463116738810145, 0.418422993771755, 0.830609903675807         ), PROX_PARK = c(1.20981147430356, 1.20981147430356,          1.2054653508424, 1.45762221914422, 1.34373269803231,          1.02763138312455, 1.02763138312455, 0.937816003807321,          0.959994438388966, 0.959994438388966, 0.959994438388966,          0.747611444367071, 0.872985599051717, 0.872985599051717,          1.48305338833506, 0.9054780070858, 0.495314460898113,          0.505224516024672, 0.454841043819919, 0.751240825934154         ), PROX_GOOD_PRISCH = c(6.16175607197734, 6.16175607197734,          5.97835326648125, 6.10793998843997, 5.7932792467937,          6.57664814247058, 6.57664814247058, 6.66937916554136,          6.64012383316355, 6.64012383316355, 6.64012383316355,          5.39194564581962, 6.72174636420399, 6.72174636420399,          5.64743379607767, 6.57740517739392, 7.10206992983331,          6.50789265243056, 6.48254224033906, 6.95474206477502),          PROX_MALL = c(0.571849863617429, 0.571849863617429, 0.76724723438711,          0.973625110866692, 1.10378372306907, 0.392080122681935,          0.392080122681935, 0.484724019608978, 0.450738515511335,          0.450738515511335, 0.450738515511335, 0.942416713928675,          0.530342726071102, 0.530342726071102, 1.36185056241102,          0.446026044391999, 0.790613232916467, 0.353588302636786,          0.306862579253759, 0.757845794253982), PROX_CHAS = c(0.332465298200207,          0.332465298200207, 0.09463300161804, 0.306725496117186,          0.289709096170644, 0.214971829128206, 0.214971829128206,          0.270084445320348, 0.221318263528924, 0.221318263528924,          0.221318263528924, 0.145251548786172, 0.254413742194056,          0.254413742194056, 0.205355834952608, 0.130380344727655,          0.40646651865696, 0.171584438209325, 0.133156315003352,          0.175468897673469), PROX_SUPERMARKET = c(0.204374831829505,          0.204374831829505, 0.108262733037825, 0.252218317780421,          0.132128014198024, 0.391090025360665, 0.391090025360665,          0.483753219919624, 0.449846933875903, 0.449846933875903,          0.449846933875903, 0.434198104817495, 0.529573977763673,          0.529573977763673, 0.352842931529878, 0.445962312606475,          0.260900811674997, 0.320581809168482, 0.27639551573194,          0.336744227428862), WITHIN_350M_KINDERGARTEN = c(3L,          3L, 3L, 2L, 0L, 2L, 2L, 2L, 2L, 2L, 2L, 0L, 2L, 2L, 1L,          3L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          6L, 5L, 8L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 3L, 3L, 6L, 2L,          2L, 4L, 3L, 3L), WITHIN_350M_BUS = c(9L, 9L, 9L, 5L,          9L, 8L, 8L, 6L, 6L, 6L, 6L, 7L, 5L, 5L, 7L, 8L, 6L, 8L,          7L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 3L, 2L, 2L, 2L,          2L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 2L, 3L, 3L, 4L, 4L, 4L         ), DNeighbour = c(0, 4.9631410274615, 252.800026850468,          406.334564572002, 604.294105557239, 665.514529617378,          665.709702404492, 726.230005768246, 728.899252836522,          730.189894614743, 733.465264111996, 768.814453391087,          824.255326608832, 826.443016426057, 865.810682805555,          918.045692389226, 1122.43139978286, 1252.8003804013,          1286.38561219428, 1308.3766640222)), row.names = c("328",      "497", "107", "883", "468", "507", "985", "847", "86", "280",      "290", "423", "925", "797", "751", "889", "631", "991", "530",      "720"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.9999712210779,      0.926728454280316, 0.816402713788691, 0.618865760861364,      0.549478814560883, 0.549253823166322, 0.478734346949413,      0.475599694553846, 0.474083600214643, 0.470234964117833,      0.42865195238172, 0.363755132491481, 0.361214965547715, 0.315950338934841,      0.257721099677735, 0.0697172780299862, 0.00691396294389663,      0.00111110728934083, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1149617925 
R squared (OOB):                  0.5255803 

$Forests[[329]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 442500, 418888,      358000, 462000, 443000, 382000, 447888, 418000, 335000, 450000,      334008, 459000, 415000, 430000, 445000, 425000, 390000, 418000,      395000), floor_area_sqm = c(90, 92, 92, 104, 93, 93, 93,      93, 92, 102, 92, 103, 93, 92, 92, 93, 93, 92, 92, 93), storey_order = c(5L,      6L, 3L, 4L, 5L, 5L, 1L, 5L, 5L, 4L, 4L, 2L, 4L, 2L, 5L, 4L,      5L, 1L, 3L, 2L), remaining_lease_mths = c(937, 1138, 1136,      815, 1134, 1134, 1111, 1137, 1142, 940, 1135, 917, 1138,      1132, 1137, 1133, 1134, 1132, 1134, 1138), PROX_CBD = c(14.2787185061121,      14.4158973706441, 14.4158973706441, 14.0960645211931, 14.1475961545785,      14.1475961545785, 14.29200158436, 14.1475961545785, 14.4012043650842,      14.4474740114555, 14.5310939664424, 14.2719972222741, 14.1715462602585,      14.6122009832922, 14.2919055230493, 14.1149653809405, 14.3486805845321,      14.6424103631698, 14.318757359464, 14.318757359464), PROX_ELDERLYCARE = c(1.77826193055387,      1.86115765343828, 1.86115765343828, 1.70531999087377, 2.03155968851809,      2.03155968851809, 2.00367987562091, 2.03155968851809, 1.94149260139439,      1.50338082315219, 1.79186944623163, 1.50921581969441, 2.09595649451453,      1.68824062303628, 2.08663557441472, 2.12564955085825, 2.08279710659019,      1.72557175775889, 2.13920478430288, 2.13920478430288), PROX_HAWKER = c(0.865181709866835,      0.900970586039013, 0.900970586039013, 0.845358517598031,      1.0452124348096, 1.0452124348096, 1.05572120633707, 1.0452124348096,      0.977925494011815, 0.588144724666333, 0.816792492128141,      0.684102697062058, 1.11030496241672, 0.707122679385598, 1.13160866269818,      1.06810792734919, 1.11865892678262, 0.740384095011384, 1.17625726432186,      1.17625726432186), PROX_MRT = c(0.14195902454703, 0.0830542408041225,      0.0830542408041225, 0.217341234217998, 0.206896355650083,      0.206896355650083, 0.129588785375857, 0.206896355650083,      0.117672709296806, 0.224566301285939, 0.197201307651512,      0.347262283963267, 0.236487582928319, 0.295449456212788,      0.215635082050947, 0.282489779359316, 0.228370105834555,      0.312698200175978, 0.277525006355607, 0.277525006355607),          PROX_PARK = c(1.51686048726609, 1.70853765465547, 1.70853765465547,          1.27300714898888, 1.52292224478236, 1.52292224478236,          1.659682039687, 1.52292224478236, 1.73691437359179, 1.55939681176166,          1.79335149216305, 1.38760566459916, 1.59201213147604,          1.76906915549279, 1.71136953372848, 1.55223981690243,          1.76668334590621, 1.78460824921244, 1.77227256709076,          1.77227256709076), PROX_GOOD_PRISCH = c(5.42826997650874,          5.62289607338158, 5.62289607338158, 5.17863906457975,          5.43570837857945, 5.43570837857945, 5.57470277830303,          5.43570837857945, 5.65284274036128, 5.45861643017911,          5.7030752613132, 5.26118802945754, 5.50129862889456,          5.7298925008129, 5.62322031775431, 5.45814117537329,          5.67955556528646, 5.77937603269072, 5.68167095374807,          5.68167095374807), PROX_MALL = c(0.338911837083335, 0.475045953779526,          0.475045953779526, 0.243284841315127, 0.329425359540921,          0.329425359540921, 0.462705775504015, 0.329425359540921,          0.544441659044551, 0.12145856762689, 0.466036051693473,          0.108121271181015, 0.405991175981987, 0.426875162675013,          0.517951444315281, 0.377565489031552, 0.571430807201143,          0.482269498416602, 0.582562895872492, 0.582562895872492         ), PROX_CHAS = c(0.18872293939054, 0.0420419616737589,          0.0420419616737589, 0.132339190026647, 0.188783823394846,          0.188783823394846, 0.0888572682655253, 0.188783823394846,          0.0706873614354785, 0.121458549123021, 0.162368565956873,          0.108121286081234, 0.12657377242065, 0.270793953405505,          3.54155757628082e-08, 0.179884741524278, 0.0590253437170886,          0.280031834846542, 0.0707174365033835, 0.0707174365033835         ), PROX_SUPERMARKET = c(0.188722783027928, 0.0420421510628514,          0.0420421510628514, 0.226949559622758, 0.235757849482592,          0.235757849482592, 0.124391003677116, 0.235757849482592,          0.0706874850207218, 0.134916350552101, 0.162368758687164,          0.105248463653719, 0.248308073473709, 0.270794118098451,          0.199383936085002, 0.299769914037237, 0.199153546859355,          0.280032026158491, 0.25307995359875, 0.25307995359875         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 1L, 1L, 2L, 2L,          1L, 2L, 1L, 1L, 0L, 2L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 5L, 7L, 6L, 6L,          5L, 6L, 5L, 5L, 4L, 4L, 5L, 5L, 5L, 6L, 4L, 3L, 4L, 4L         ), WITHIN_350M_BUS = c(8L, 7L, 7L, 9L, 6L, 6L, 5L, 6L,          6L, 11L, 8L, 10L, 5L, 6L, 4L, 5L, 4L, 6L, 3L, 3L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 5L, 4L, 4L, 4L, 4L, 3L, 5L, 3L, 5L, 4L, 4L, 3L,          4L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 208.562459504592,          210.383581503883, 248.510023982302, 254.06870365006,          255.506883570012, 256.316342378163, 257.344978944142,          260.906503977112, 278.187829384461, 283.362257363191,          309.325351682134, 326.477912755548, 341.809591401819,          350.274182722614, 356.760737517962, 370.648732090416,          379.727288994515, 407.324419447713, 415.697483294788)), row.names = c("329",      "33", "100", "880", "207", "966", "989", "623", "633", "826",      "609", "381", "277", "489", "267", "519", "217", "323", "58",      "840"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.559923161519117,      0.55333516420269, 0.412957516170236, 0.392440882599033, 0.387145326042665,      0.384167567789766, 0.380386609940756, 0.367325281849828,      0.304882282491496, 0.286595870542007, 0.19918173629155, 0.146833037073451,      0.104908422656265, 0.0840970438013226, 0.0694085102194744,      0.0420226594519239, 0.0274141137977871, 0.00159031080965984,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       856115803 
R squared (OOB):                  0.4932128 

$Forests[[330]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(338000, 315000, 305000,      350000, 345000, 339000, 313000, 288000, 312000, 320000, 295000,      320000, 315000, 336000, 295000, 320000, 330000, 345000, 365000,      388000), floor_area_sqm = c(102, 102, 99, 102, 102, 102,      99, 84, 101, 101, 101, 84, 103, 102, 84, 104, 103, 102, 92,      92), storey_order = c(4L, 2L, 1L, 4L, 4L, 3L, 4L, 3L, 2L,      1L, 1L, 4L, 2L, 3L, 4L, 4L, 1L, 2L, 1L, 1L), remaining_lease_mths = c(922,      913, 921, 923, 926, 923, 918, 893, 933, 924, 917, 885, 926,      916, 875, 893, 928, 927, 1135, 1134), PROX_CBD = c(18.1611534549189,      17.9994058772431, 17.9733391318796, 18.0569924715364, 18.236688278315,      17.9456645257603, 17.8728040148932, 18.3632948597919, 18.4625985868209,      18.0902268845521, 18.4986491838169, 18.3433564216417, 18.5458637520931,      18.5506225538857, 18.4249149071789, 18.4249149071789, 18.5768909080638,      18.2868848905217, 17.8160591469996, 17.8160591469996), PROX_ELDERLYCARE = c(0.519233937445895,      0.430537495183344, 0.376016337241346, 0.59750504274373, 0.732088251039709,      0.476454782767532, 0.330981516384048, 0.645296274244347,      0.765079897684544, 0.706169610995159, 0.86418951980865, 0.623669944895056,      0.890661700747245, 0.859723249528503, 0.705240184131779,      0.705240184131779, 0.912532633143698, 0.896456720381782,      0.101440000613482, 0.101440000613482), PROX_HAWKER = c(0.617364695979906,      0.472244893923117, 0.501520555884575, 0.391180253405874,      0.537987121264097, 0.3648710200987, 0.446535534086157, 0.921741667576702,      0.906262708365532, 0.370412154176866, 0.838043969781633,      0.960648791795978, 0.898999046399804, 0.958117298193611,      1.0161652570538, 1.0161652570538, 0.935860141611343, 0.547085889030319,      0.755409785256781, 0.755409785256781), PROX_MRT = c(0.623413162025338,      0.492638498779759, 0.52882455357406, 0.384524332485438, 0.511061821383635,      0.385567417899789, 0.4868918768976, 0.927224403125457, 0.897303014326537,      0.341202563029131, 0.812751343363136, 0.899458799363821,      0.87509641959225, 0.942174684471822, 0.906393011935236, 0.906393011935236,      0.912233851204259, 0.495991449430539, 0.729659889526201,      0.729659889526201), PROX_PARK = c(1.52418818882418, 1.65421298847909,      1.62685700377268, 1.77011013021076, 1.7164330470264, 1.76180373116006,      1.69875568186822, 1.22890358268929, 1.31620863428189, 1.8531048262974,      1.49181484955502, 1.17596756648915, 1.4387346144793, 1.32670572464855,      1.13759587953072, 1.13759587953072, 1.41172869826724, 1.86697967968657,      1.49250729308795, 1.49250729308795), PROX_GOOD_PRISCH = c(8.72758527833631,      8.5589292690065, 8.54142359534323, 8.58956131155308, 8.76378557853615,      8.49089982759618, 8.43952013253886, 8.96505409295358, 9.04019528068803,      8.60631027953587, 9.04519470993137, 8.95760590087653, 9.09837600782165,      9.12094588228633, 9.03817471771729, 9.03817471771729, 9.13217936844248,      8.78822500750919, 8.44175881664207, 8.44175881664207), PROX_MALL = c(0.475604736810637,      0.446560923090423, 0.395841490391381, 0.407254736414821,      0.240339889961931, 0.428159644756295, 0.330972758922268,      0.282416841692855, 0.414588198127445, 0.342860958869265,      0.305101649121832, 0.22079632378696, 0.359721010486642, 0.46921205797367,      0.204519313237763, 0.204519313237763, 0.390092702495136,      0.1450338527091, 0.183177100903513, 0.183177100903513), PROX_CHAS = c(0.405258493214775,      0.324811070171065, 0.364030465322827, 0.222103720735081,      0.184864523484869, 0.218909691095897, 0.330972805611547,      0.231219576578415, 0.399223798550346, 0.209799590563819,      0.305101651313883, 0.167893491583302, 0.359721009550721,      0.469212052170377, 0.20451929737041, 0.20451929737041, 0.390092699752756,      0.0217240252323136, 0.183177099178452, 0.183177099178452),          PROX_SUPERMARKET = c(0.475604214408431, 0.408691343873882,          0.356071330024396, 0.385535197909366, 0.240339157209448,          0.365864675212809, 0.300218301814749, 0.282416494634945,          0.414588227521533, 0.342860053820009, 0.305101855713295,          0.220795796105544, 0.359721304530864, 0.469212308573368,          0.204519239868594, 0.204519239868594, 0.390093045846372,          0.145032957963293, 0.137568853383185, 0.137568853383185         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 1L, 2L, 2L, 1L,          1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 3L, 4L, 6L, 3L,          4L, 8L, 6L, 6L, 6L, 8L, 5L, 6L, 7L, 7L, 5L, 7L, 8L, 8L         ), WITHIN_350M_BUS = c(10L, 9L, 11L, 9L, 7L, 8L, 8L,          8L, 8L, 7L, 9L, 8L, 9L, 8L, 9L, 9L, 9L, 9L, 15L, 15L),          WITHIN_1KM_PRISCH = c(6L, 7L, 7L, 6L, 6L, 6L, 7L, 4L,          5L, 5L, 4L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 6L, 6L), DNeighbour = c(0,          174.942438058157, 187.976625783462, 242.31430489073,          260.28211602252, 267.077855236215, 292.259136537439,          307.65490162388, 314.635965478662, 340.868167060616,          346.216004817755, 348.749411624555, 385.408276393811,          394.395978168674, 394.721535809237, 396.607434006812,          414.183421463067, 438.760494220361, 465.660574415181,          467.471475865386)), row.names = c("330", "177", "179",      "491", "227", "20", "992", "864", "729", "74", "684", "953",      "576", "291", "265", "738", "828", "787", "402", "53"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.739515664321132, 0.702754726133515, 0.534817600339712,      0.476083518862175, 0.453721390203227, 0.371046349619775,      0.321342524605473, 0.299199534906901, 0.2193094792499, 0.203843791747743,      0.196633641456696, 0.102577481896465, 0.0830623207283697,      0.082386074722746, 0.0785123875110381, 0.0462206992498937,      0.0141760219273412, 5.9793693473049e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       585594809 
R squared (OOB):                  0.04118325 

$Forests[[331]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 670000, 439000,      408000, 430000, 648000, 588000, 5e+05, 565000, 435000, 516000,      450000, 440000, 380000, 448000, 548000, 638000, 630000, 430000,      420000), floor_area_sqm = c(97, 94, 97, 91, 102, 116, 95,      105, 103, 98, 98, 92, 92, 91, 105, 95, 102, 102, 93, 91),          storey_order = c(4L, 6L, 3L, 3L, 3L, 4L, 3L, 2L, 4L,          1L, 3L, 1L, 3L, 3L, 1L, 2L, 9L, 6L, 3L, 1L), remaining_lease_mths = c(665,          1104, 669, 674, 869, 871, 1025, 857, 852, 692, 698, 679,          677, 691, 866, 981, 869, 870, 728, 742), PROX_CBD = c(8.66747718420982,          8.58683984966127, 8.73211086874077, 8.96374942103709,          8.77938926255451, 8.27332873959955, 8.51090417959469,          8.19182633034048, 8.19182633034048, 8.85689554561162,          8.70928269501252, 8.7589377611275, 8.7589377611275, 9.09613481662016,          8.05276498978228, 8.37940280964872, 7.86314261154951,          7.86314261154951, 8.20083785223568, 8.31995738049774),          PROX_ELDERLYCARE = c(0.0441159965049124, 0.203840329735754,          0.292319821872094, 0.267188539522683, 0.374310234303432,          0.354571010374291, 0.120425912751251, 0.444818640633349,          0.444818640633349, 0.272187629818594, 0.119444653145476,          0.169235371196244, 0.169235371196244, 0.297153722290783,          0.599632276485302, 0.335901694998922, 0.731462959428347,          0.731462959428347, 0.41240614163537, 0.259768432786295         ), PROX_HAWKER = c(0.357845486047337, 0.433030813326955,          0.436547444862961, 0.393731145214296, 0.0530841043788875,          0.610975272844239, 0.166697492306482, 0.553760551741158,          0.553760551741158, 0.446318851105742, 0.281172749103646,          0.330091511745513, 0.330091511745513, 0.276770006011078,          0.560005371648267, 0.203869560106314, 0.573870222021737,          0.573870222021737, 0.35604829505958, 0.387410687724852         ), PROX_MRT = c(0.874328108605637, 0.751078096441513,          0.600073719023998, 0.71987240697712, 1.18818107396501,          1.0936063211659, 0.608243230971526, 1.08457427678223,          1.08457427678223, 0.372678744867538, 0.379410256905797,          0.338391484905848, 0.338391484905848, 1.2652859093471,          1.12051759514643, 0.62312262100292, 0.85984195598231,          0.85984195598231, 0.805467939952349, 0.705543842504761         ), PROX_PARK = c(0.691303172853456, 0.52118662053352,          0.617507126900098, 0.60552725382935, 0.700959888788064,          0.477465658778908, 0.368529270986479, 0.374102285306053,          0.374102285306053, 0.479885299937475, 0.513364518506117,          0.469340752260783, 0.469340752260783, 0.429900368262469,          0.30128672956265, 0.394842599629624, 0.281207712521794,          0.281207712521794, 0.393072899865764, 0.517920409018535         ), PROX_GOOD_PRISCH = c(1.23754792076915, 1.16640042723588,          1.31940815963163, 1.13785719900195, 0.963274696928036,          0.856939381531897, 1.13331232297991, 0.769163347741007,          0.769163347741007, 1.47413984574199, 1.35677240305411,          1.40615721612308, 1.40615721612308, 0.657187468393487,          0.631981624625733, 1.14854892992093, 0.562813849840511,          0.562813849840511, 1.04754826657838, 1.20021801549651         ), PROX_MALL = c(0.740457696387364, 0.632538285087724,          0.469553394647833, 0.480317195978648, 0.946404029132472,          0.991200103712322, 0.540250505232014, 0.997182626507123,          0.997182626507123, 0.241772845363545, 0.313890580083005,          0.264395031718586, 0.264395031718586, 0.916512124719577,          1.07178760783233, 0.651389947232486, 0.943364056194349,          0.943364056194349, 0.844084234929545, 0.768764019555169         ), PROX_CHAS = c(0.34300149800099, 0.237191200694799,          0.0664211666443358, 0.143131544605207, 0.064920565519497,          0.413431749899638, 0.0869956868442428, 0.311461966699573,          0.311461966699573, 0.157458356405151, 0.112175615725657,          0.0806835690144568, 0.0806835690144568, 0.209184408253321,          0.167974733321899, 0.11938167830482, 0.201852081003395,          0.201852081003395, 0.0460460495231756, 0.1066489590073         ), PROX_SUPERMARKET = c(0.158725757407685, 0.35437102597818,          0.350370254212894, 0.181164390242962, 0.239175324970861,          0.502190497784501, 0.0869967242830128, 0.485938543293979,          0.485938543293979, 0.224853982916395, 0.221335227738319,          0.24726445439454, 0.24726445439454, 0.235755012868274,          0.372458117254617, 0.282093113359979, 0.115543350477338,          0.115543350477338, 0.436961702644775, 0.284909088626731         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 1L, 0L,          2L, 0L, 0L, 2L, 2L, 2L, 2L, 1L, 3L, 1L, 4L, 4L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 5L, 6L, 4L, 2L, 4L,          6L, 2L, 2L, 7L, 7L, 8L, 8L, 3L, 3L, 4L, 3L, 3L, 2L, 3L         ), WITHIN_350M_BUS = c(5L, 4L, 7L, 6L, 4L, 8L, 5L, 7L,          7L, 7L, 6L, 6L, 6L, 7L, 5L, 6L, 2L, 2L, 7L, 7L), WITHIN_1KM_PRISCH = c(2L,          2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 4L, 3L, 3L, 2L, 1L,          3L, 2L, 2L, 2L, 2L), DNeighbour = c(0, 202.423008907436,          280.952682409999, 312.807435833561, 372.63102541269,          393.438493463653, 465.0604078054, 478.895259973584, 483.360740018441,          505.26194169539, 565.80749766352, 579.493070669763, 579.971779987317,          627.727737815822, 631.535204821496, 832.277662291513,          930.250219714354, 932.431838577847, 974.543029561288,          1019.41956478236)), row.names = c("331", "149", "842",      "692", "606", "795", "94", "674", "128", "397", "446", "194",      "386", "715", "635", "998", "931", "476", "79", "716"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.922696984248962, 0.853857846836353, 0.820553270807526,      0.750624632303022, 0.724281863961348, 0.627074700735551,      0.607330021305166, 0.600902528794158, 0.5690349823441, 0.478784736557028,      0.458139615613178, 0.457416877301514, 0.385426916630738,      0.379719613667164, 0.111191138094388, 0.0279860379423227,      0.0266930132993272, 0.00741414020456917, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5815322515 
R squared (OOB):                  0.3311211 

$Forests[[332]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 330000, 308000,      315000, 360000, 360000, 365000, 365000, 428000, 370000, 446000,      420000, 325000, 370000, 333000, 347000, 3e+05, 340000, 390000,      395000), floor_area_sqm = c(103, 103, 84, 84, 99, 103, 107,      103, 90, 98, 107, 90, 84, 104, 103, 103, 84, 104, 104, 90     ), storey_order = c(3L, 2L, 1L, 3L, 2L, 1L, 1L, 4L, 8L, 2L,      3L, 8L, 2L, 2L, 2L, 3L, 2L, 1L, 1L, 5L), remaining_lease_mths = c(793,      800, 795, 788, 796, 777, 766, 768, 1008, 767, 783, 1011,      783, 763, 788, 777, 797, 772, 763, 1010), PROX_CBD = c(13.46147060752,      13.46147060752, 13.3304860768802, 13.0463978034086, 13.8977069202737,      13.7231688188033, 13.578535689825, 12.6612960596841, 13.8412030491349,      12.6407298816561, 13.1163383572019, 13.8798013735997, 14.1279251783367,      13.075732494377, 14.3532733654858, 12.4516179583977, 14.3169519114025,      13.1145091682395, 13.1145091682395, 13.990153115514), PROX_ELDERLYCARE = c(1.01995663096129,      1.01995663096129, 0.85382998667073, 0.612412426395362, 1.56746404607568,      0.681177733621966, 0.535215785060316, 0.349885373003571,      1.74703283433278, 0.198383641986835, 0.258125844069092, 1.77270985488013,      1.66641228888996, 0.206309775801723, 1.6760601574403, 0.517665393733001,      1.55261218152075, 0.233566729538939, 0.233566729538939, 1.56992496550613     ), PROX_HAWKER = c(1.03983060555389, 1.03983060555389, 1.09459947163448,      1.36023111372333, 1.04237506554324, 0.601426993813282, 0.775756145922257,      1.71720286170745, 1.43519165592487, 1.70233840124208, 1.23349193679857,      1.47024255459416, 1.24304803992561, 1.2806114078583, 0.99569743308136,      1.97187302693261, 1.19367588944735, 1.24018164124527, 1.24018164124527,      1.69002608854433), PROX_MRT = c(0.367668143276235, 0.367668143276235,      0.525688124362732, 0.622051877914657, 0.300373388684648,      0.498221170198522, 0.357978123578611, 0.798149237832703,      0.462396576385451, 0.712674611555213, 0.166998983475289,      0.523014705157119, 0.59155533687368, 0.218393806785847, 0.756418829435307,      1.07246547116041, 0.753004841751307, 0.402767024758649, 0.402767024758649,      0.789673249073619), PROX_PARK = c(0.582693033366388, 0.582693033366388,      0.620743454357064, 0.572775970192077, 0.782220037546154,      1.26781451063295, 1.33984402369384, 0.722272593032778, 0.752068597068081,      0.87239282209614, 1.28385310080255, 0.782127938386311, 1.00515750023779,      1.31516124688894, 1.20426051281307, 0.540079114132334, 1.00962818739137,      1.4917670023494, 1.4917670023494, 0.716145735764812), PROX_GOOD_PRISCH = c(3.38131302543864,      3.38131302543864, 3.24954726475941, 2.96540091825049, 3.83525569342672,      3.673854441535, 3.55013641033528, 2.58047246486208, 3.82728738248792,      2.56532775368338, 3.10133739012884, 3.87304276717541, 4.09179045416031,      3.06740437701091, 4.29145341198416, 2.37408427308534, 4.27446656255715,      3.15473759747012, 3.15473759747012, 4.0269654833207), PROX_MALL = c(0.644549177151603,      0.644549177151603, 0.513372166694422, 0.587476612974174,      1.14150204308926, 0.406890039239853, 0.305514521023982, 0.817237002784756,      1.33339622609195, 0.751522975449472, 0.281310431650798, 1.33861894221302,      1.48884664162065, 0.332903613799786, 1.45738633765159, 1.09246464633101,      1.50622914679999, 0.504156272689578, 0.504156272689578, 1.32125061115982     ), PROX_CHAS = c(0.348399033159575, 0.348399033159575, 0.472814153962233,      0.40513819943783, 0.162936326565904, 0.176857487498571, 0.282171570268124,      0.248450831201433, 0.116038559859119, 0.217156748290024,      0.155371621529032, 0.058882652003164, 0.283027750434604,      0.122328851042638, 0.0428610630237518, 0.137011223676854,      0.149961616171305, 0.11048408202451, 0.11048408202451, 0.231188025602735     ), PROX_SUPERMARKET = c(0.356146193343619, 0.356146193343619,      0.510727353781082, 0.599997973636583, 0.162936951836525,      0.270532795629183, 0.281417393052806, 0.326739034058403,      0.116038559858059, 0.217156859083098, 0.141466460051892,      0.0588826520022197, 0.283027750434408, 0.193246634773484,      0.400567683079086, 0.417679622168911, 0.277976240278344,      0.362446168440829, 0.362446168440829, 0.231188025603748),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 0L, 0L,          1L, 2L, 1L, 2L, 0L, 1L, 2L, 0L, 2L, 1L, 3L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 2L, 4L, 4L,          4L, 3L, 3L, 4L, 4L, 2L, 3L, 4L, 3L, 3L, 3L, 6L, 6L, 1L         ), WITHIN_350M_BUS = c(6L, 6L, 5L, 7L, 5L, 8L, 10L, 12L,          5L, 10L, 9L, 5L, 10L, 10L, 10L, 9L, 9L, 7L, 7L, 4L),          WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 3L, 3L, 4L, 3L,          3L, 3L, 3L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 2L), DNeighbour = c(0,          9.16059488492462, 170.024737264066, 427.521468302881,          555.987279454259, 695.003295839499, 801.611013804982,          812.210980327983, 827.727910726289, 863.435274582402,          887.448901990104, 889.657040314806, 910.83801979664,          934.226228348136, 974.977993061126, 1010.15842039729,          1031.37795278047, 1136.56765574191, 1137.96669091251,          1162.34482424901)), row.names = c("332", "526", "61",      "987", "479", "960", "856", "552", "678", "477", "105", "877",      "893", "929", "697", "851", "650", "844", "164", "276"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999875779323322, 0.957663699893367, 0.747734057979455,      0.59474641844231, 0.412776938680003, 0.274977519496793, 0.261858733685921,      0.242937038498892, 0.200874235427015, 0.173947010821387,      0.171532699658202, 0.148948024240681, 0.125314292217747,      0.0878588923466457, 0.0598870103135987, 0.0452216548533544,      0.00192386836118829, 0.0017227976025679, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1074276659 
R squared (OOB):                  0.3138566 

$Forests[[333]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(825000, 820000, 840000,      685000, 755000, 750000, 805000, 552000, 472000, 530000, 620000,      688000, 408000, 438888, 810000, 745000, 4e+05, 580000, 795888,      530000), floor_area_sqm = c(87, 87, 87, 85, 90, 90, 104,      100, 84, 111, 102, 85, 84, 80, 90, 90, 92, 100, 95, 118),          storey_order = c(5L, 9L, 14L, 4L, 5L, 11L, 3L, 1L, 2L,          1L, 3L, 4L, 6L, 4L, 10L, 7L, 1L, 4L, 7L, 2L), remaining_lease_mths = c(1136,          1136, 1141, 1038, 1038, 1035, 919, 910, 799, 767, 908,          964, 647, 601, 1045, 1057, 555, 1013, 1140, 594), PROX_CBD = c(4.59114385332588,          4.59114385332588, 4.70219035054856, 4.89531124268982,          4.88070069409732, 4.88070069409732, 4.1456930527125,          4.64904487497998, 4.27761841825855, 4.3501519248406,          4.95292174150019, 3.98134497452694, 5.38657645344473,          3.37234644442932, 5.99670752478149, 6.0390103189171,          5.99479776583207, 4.79843685927635, 6.26284978479934,          6.1023364257416), PROX_ELDERLYCARE = c(0.125633226962327,          0.125633226962327, 0.200702517977741, 0.307888742732217,          0.312658206579851, 0.312658206579851, 0.45180890917037,          0.374326446996408, 0.0937624362906392, 0.203630745919553,          0.0718437191527097, 0.168717999980802, 0.465891927060243,          0.401810150563083, 0.788986586736525, 0.798119493593788,          0.420516157550055, 0.72206466606869, 0.69800247969724,          0.14668864145384), PROX_HAWKER = c(0.762382071136897,          0.762382071136897, 0.646528219825606, 0.546104933523636,          0.595417483526792, 0.595417483526792, 0.668394095052703,          0.28049665267082, 0.566432501893156, 0.509657348502929,          0.126776661941161, 0.262344394473714, 0.351855498276287,          0.449139985411189, 0.199496524550099, 0.151348144296069,          0.295460487376037, 0.669525197575465, 0.130331819855385,          0.107292567178633), PROX_MRT = c(0.586728793826683, 0.586728793826683,          0.491479629856663, 0.275254866694397, 0.314337158810329,          0.314337158810329, 0.413017272318271, 0.763812758173444,          0.40356540460373, 0.533693046359433, 0.804865461788644,          0.310254962870727, 0.675587286197546, 0.537190991659238,          0.226103982865864, 0.225262429159589, 0.305306521480229,          1.13446368103879, 0.132116935816272, 0.649340944892975         ), PROX_PARK = c(1.65596921250538, 1.65596921250538,          1.77379186206272, 1.60860995669454, 1.53366372097489,          1.53366372097489, 1.16828897329218, 1.08394438059851,          1.11098670131371, 0.941534540217125, 0.908868407872405,          0.894232249415992, 1.05249384295472, 0.408351250353425,          0.97332058707081, 0.921128796109604, 0.990750186553446,          0.279857584881724, 0.742212481577902, 0.711925115709351         ), PROX_GOOD_PRISCH = c(2.86977258716747, 2.86977258716747,          2.79995758206102, 2.96671225712824, 3.0451226436528,          3.0451226436528, 3.20846684942761, 3.57098970158234,          3.63213704613537, 3.77462248476967, 3.66355651606602,          3.868083844602, 3.52335384407219, 3.70512913004722, 2.41026804261554,          2.45094763896652, 2.01228232098645, 4.40925832010736,          2.39901634170637, 1.64363723354824), PROX_MALL = c(0.992224857230604,          0.992224857230604, 0.970860317849455, 0.696065710972082,          0.63262312230698, 0.63262312230698, 1.18405339004253,          0.528365937160055, 0.890632544268956, 0.812522711759855,          0.209686974260184, 1.18273225000282, 0.184401966361696,          0.743612757274357, 1.14826594162738, 1.15586968043917,          0.848644658978131, 0.830412122132217, 0.965908348364742,          0.58741271025502), PROX_CHAS = c(0.156405874770629, 0.156405874770629,          0.0639130956899198, 0.22404402777184, 0.278004299073392,          0.278004299073392, 0.401816380076581, 0.251376462502101,          0.116543108560641, 0.237239443458304, 0.176171654931402,          0.145112311632742, 0.131272369045618, 0.499618186459994,          0.157172829578474, 0.103484302768675, 0.262677718190406,          0.120011087306801, 0.0879111496245458, 0.142011209366223         ), PROX_SUPERMARKET = c(0.156405662038775, 0.156405662038775,          0.0639125072278545, 0.224044642536509, 0.278004958714438,          0.278004958714438, 0.431453687618191, 0.311533400888457,          0.205058734443685, 0.125937465506006, 0.176171398022836,          0.252387257990654, 0.182486832055582, 0.499617451823641,          0.212384620357781, 0.198926203527595, 0.3581952061826,          0.0907294343182455, 0.0879117778441782, 0.585686837888717         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 2L, 5L, 5L, 5L,          1L, 0L, 0L, 0L, 2L, 1L, 1L, 0L, 3L, 3L, 1L, 0L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 4L, 5L, 5L,          1L, 2L, 5L, 5L, 1L, 3L, 1L, 2L, 3L, 3L, 1L, 2L, 3L, 2L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 9L, 8L, 8L, 7L, 12L,          14L, 13L, 7L, 12L, 8L, 8L, 10L, 9L, 8L, 6L, 5L, 5L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,          1L, 1L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L), DNeighbour = c(0,          5.00364926631828, 115.926854482811, 349.707457597915,          377.254173353674, 378.056144985235, 487.44072653887,          725.914786664018, 770.005244216169, 912.150683946958,          932.372729622928, 1058.37468971938, 1076.41796244028,          1275.115370905, 1441.7280090063, 1476.75905389148, 1563.40097565591,          1578.64612201753, 1720.06604821373, 1825.85152645717)), row.names = c("333",      "768", "854", "916", "982", "39", "320", "140", "709", "348",      "216", "375", "130", "69", "379", "832", "413", "610", "562",      "18"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999984979957312,      0.991953798046884, 0.927977360260192, 0.916440359639049,      0.916092507732436, 0.862537599754684, 0.708851692973215,      0.675928886139814, 0.563136664106918, 0.546469354930443,      0.440887065740144, 0.425676735708963, 0.262433699057649,      0.141753011253104, 0.119600740518137, 0.071193606214333,      0.0637323839200982, 0.0126604034085894, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9310229337 
R squared (OOB):                  0.5985592 

$Forests[[334]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 340000, 355000,      405000, 408000, 335000, 418888, 389000, 373000, 330000, 376000,      390000, 325000, 398000, 485000, 455000, 375000, 369000, 350000,      360000), floor_area_sqm = c(91, 91, 91, 102, 100, 84, 100,      103, 103, 84, 101, 101, 84, 100, 93, 93, 90, 94, 92, 104),          storey_order = c(4L, 1L, 3L, 3L, 5L, 2L, 2L, 2L, 1L,          4L, 2L, 4L, 5L, 2L, 7L, 3L, 5L, 5L, 1L, 2L), remaining_lease_mths = c(777,          786, 763, 928, 916, 791, 932, 863, 870, 806, 948, 932,          812, 924, 1137, 1139, 946, 942, 714, 804), PROX_CBD = c(9.37335060635629,          9.37335060635629, 9.41668106440496, 9.51108523911647,          9.71665400465424, 9.13853516155078, 9.64941173000682,          9.90721965789512, 9.95029435977204, 9.63621863936401,          10.1515839247586, 10.247812625002, 9.87023127008802,          10.2027088676681, 10.5587309121129, 10.5974154418399,          10.5038890156487, 10.5038890156487, 9.56457497404925,          10.0879656312395), PROX_ELDERLYCARE = c(1.66235796621519,          1.66235796621519, 1.6892356184521, 1.80905665624389,          1.86385802759073, 1.86142420062345, 1.9510043332774,          2.17440400131014, 2.09611483432966, 1.48805339077067,          1.93850967877536, 1.89270432318243, 1.35138892750767,          1.63738856945076, 1.80931542236799, 1.80859644276987,          1.64894906385774, 1.64894906385774, 1.08567795373645,          1.31022889057949), PROX_HAWKER = c(0.823170476035045,          0.823170476035045, 0.864780296064508, 0.978663880778012,          1.14805608329678, 0.823671555860494, 0.940071074791988,          1.08766938871094, 0.876506442172381, 0.677896697868769,          0.608980172673109, 0.561647681218514, 0.410023469086153,          0.264427923442986, 0.792644050178693, 0.832920293493618,          0.53455823354733, 0.53455823354733, 0.44425153291851,          0.196699811405185), PROX_MRT = c(2.01327082024864, 2.01327082024864,          2.02952953118228, 1.99882067476962, 2.10187463598542,          1.58022074581844, 1.69853939108909, 1.9078610258369,          1.8917195123599, 1.32502198166586, 1.73271025710532,          1.63637339364314, 1.23646610314009, 1.392302848886, 1.33157685526365,          1.28588132880872, 1.36742764633517, 1.36742764633517,          1.06652131186481, 1.09046737609619), PROX_PARK = c(0.548771819269344,          0.548771819269344, 0.564264159971047, 0.674672834209049,          0.706984478917025, 0.533109662164166, 0.624691995850973,          0.551504280527303, 0.516721166595223, 0.202594030185392,          0.464183104254495, 0.443665461164749, 0.375073916060521,          0.728383914708498, 0.251058120460841, 0.248039629274522,          0.486479545769779, 0.486479545769779, 0.829152657918636,          0.604882226694947), PROX_GOOD_PRISCH = c(0.581790960048334,          0.581790960048334, 0.555662252109323, 0.439174603441127,          0.494123442243702, 0.605615063995802, 0.107363170703005,          0.299143542468678, 0.213708578130609, 0.53169554186008,          0.447003801568155, 0.550324531917386, 0.706117631385061,          0.689163418131917, 0.819366619188368, 0.856849085387122,          0.819356328881161, 0.819356328881161, 1.87441197950121,          0.87937610392538), PROX_MALL = c(0.835862391091354, 0.835862391091354,          0.873946799305891, 0.994410311642026, 1.00609620967541,          0.925377142856182, 0.625847194134012, 0.701652802220213,          0.493813340134231, 0.564979440463645, 0.217974225134877,          0.190941194230935, 0.445899708163642, 0.12742430838485,          0.516143411126369, 0.562952549426665, 0.3366209001709,          0.3366209001709, 1.18499732413142, 0.441232897113797),          PROX_CHAS = c(0.240374554675797, 0.240374554675797, 0.248119447519373,          0.21913048386411, 0.0862664572880411, 0.179557542480515,          0.134178633248207, 0.242250716663617, 0.36937911638564,          0.204909081807225, 0.217974279370684, 0.190941257524933,          0.0764125853219005, 0.127424254451578, 0.236682264577822,          0.235419924819913, 0.232134688144963, 0.232134688144963,          0.358325278319411, 0.177420148260447), PROX_SUPERMARKET = c(0.322141005481158,          0.322141005481158, 0.315469124538892, 0.21913043091083,          0.0862669641327853, 0.223142170833011, 0.344381560072065,          0.157554225694085, 0.359694409353041, 0.145410708854306,          0.216455869736569, 0.19229406714866, 0.158655939798418,          0.129189539659537, 0.236682533577294, 0.23542039277371,          0.232133828519976, 0.232133828519976, 0.418420374852224,          0.320748009942088), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 1L, 0L, 2L,          2L, 2L, 2L, 1L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 4L, 8L, 3L, 3L, 6L, 7L, 3L, 9L, 10L, 5L, 6L, 7L,          7L, 5L, 5L, 2L, 5L), WITHIN_350M_BUS = c(5L, 5L, 6L,          7L, 8L, 11L, 8L, 10L, 12L, 7L, 10L, 10L, 8L, 13L, 10L,          10L, 11L, 11L, 4L, 11L), WITHIN_1KM_PRISCH = c(1L, 1L,          1L, 1L, 1L, 2L, 3L, 2L, 3L, 3L, 4L, 4L, 5L, 4L, 3L, 3L,          4L, 4L, 1L, 5L), DNeighbour = c(0, 0.921934738798022,          41.5939179502816, 156.228481998478, 339.647565304201,          438.514801755691, 570.618993798664, 571.499056155854,          704.566548058701, 994.261518085018, 1003.80036129853,          1101.11730756718, 1240.22327594861, 1270.20215154224,          1293.65025609961, 1321.62745843462, 1359.88355943768,          1360.6319064219, 1397.86715375875, 1442.16433342928)), row.names = c("334",      "737", "725", "719", "879", "485", "459", "629", "780", "189",      "366", "667", "755", "771", "614", "360", "942", "734", "197",      "292"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999999182663743,      0.998337048854975, 0.976667292011185, 0.892144317234209,      0.823634599970733, 0.711401898365209, 0.710586897618988,      0.579609390441255, 0.275305558193471, 0.265773130836652,      0.173923570642422, 0.0678317963084897, 0.0502925469289618,      0.0381636199704416, 0.0256561507264562, 0.0122882161466319,      0.0120721546475368, 0.00365880665104158, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1273964915 
R squared (OOB):                  0.2840238 

$Forests[[335]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 315000, 310000,      320800, 310000, 355000, 340000, 402000, 302500, 320000, 310000,      370000, 315000, 313000, 275000, 318000, 358000, 350000, 416000,      327000), floor_area_sqm = c(91, 97, 96, 92, 91, 93, 91, 93,      93, 93, 84, 93, 104, 84, 84, 84, 91, 91, 98, 84), storey_order = c(3L,      3L, 1L, 1L, 3L, 4L, 2L, 4L, 2L, 3L, 3L, 1L, 4L, 4L, 1L, 1L,      1L, 1L, 4L, 1L), remaining_lease_mths = c(774, 746, 772,      965, 774, 761, 782, 762, 764, 762, 806, 782, 777, 772, 807,      785, 760, 957, 779, 802), PROX_CBD = c(16.1626205207603,      16.179026897848, 16.0124832316584, 16.3149444157129, 16.3680873997092,      16.1297617902268, 16.0688727275577, 15.8715793299193, 15.7384939989151,      15.7384939989151, 16.5546706157429, 15.9422949327985, 15.5029529482698,      15.5029529482698, 15.555826242216, 15.4237712873611, 15.6053010835868,      16.4034806336055, 16.1674221276903, 15.395293903354), PROX_ELDERLYCARE = c(1.55788424655444,      1.73064849730919, 1.41328722649904, 1.76400828031834, 1.42545230549203,      1.29938230642316, 1.20623153653763, 1.28212929908789, 1.81389464514152,      1.81389464514152, 1.28388145020366, 1.09392979000114, 1.60634233373903,      1.60634233373903, 1.98144426857027, 1.66429806880172, 1.18278326755006,      0.839978570407226, 0.762025473923165, 1.48326161455178),          PROX_HAWKER = c(0.113648031708615, 0.141690035201285,          0.231474226543029, 0.267171899978326, 0.369132496020862,          0.335840869363962, 0.426544691499688, 0.428166805124,          0.367446283592148, 0.367446283592148, 0.634516033073404,          0.571238530927929, 0.592613874358246, 0.592613874358246,          0.587918588004233, 0.663653920640621, 0.745618024005524,          0.889236545198411, 0.872582424517839, 0.763118949388798         ), PROX_MRT = c(0.733071345608223, 0.887672461516919,          0.526610558032509, 0.980548762507945, 0.767751604782153,          0.514969181151661, 0.406145228037129, 0.326170963259121,          0.817431272071058, 0.817431272071058, 0.786543604226707,          0.22642613478059, 0.579811001445256, 0.579811001445256,          0.961984472446029, 0.641519249244255, 0.180817781363956,          0.660139833101166, 0.447065767326062, 0.486709870425329         ), PROX_PARK = c(0.622244080025509, 0.539742315344257,          0.641040622161513, 0.504828773517413, 0.655349613079545,          0.709135847201637, 0.697314652170583, 0.729541055973412,          0.197322246351151, 0.197322246351151, 0.413578796610442,          0.749126986336644, 0.518465718930498, 0.518465718930498,          0.155244626205508, 0.527546900647844, 0.580682002012541,          0.251028276822116, 0.490935310554108, 0.736647900507106         ), PROX_GOOD_PRISCH = c(6.53246509089368, 6.53838177865997,          6.39414010271149, 6.672975925328, 6.74866006620563, 6.52049985370614,          6.46919552361138, 6.26806838260706, 6.09593783675615,          6.09593783675615, 6.95112153433386, 6.35759010380229,          5.8805780078001, 5.8805780078001, 5.90755023148013, 5.79932453842233,          6.02648848177283, 6.84769610957781, 6.62018800412964,          5.79164197089728), PROX_MALL = c(0.800586392071248, 0.960112961135972,          0.598952481573277, 0.965701391482886, 0.812249060303789,          0.568960814514176, 0.45653839484425, 0.405953132327172,          0.906877360376741, 0.906877360376741, 0.809678350084408,          0.275355858531219, 0.667352945771092, 0.667352945771092,          1.05229171505891, 0.726704111983395, 0.252610517585887,          0.630333401213655, 0.402318259451987, 0.561468969675593         ), PROX_CHAS = c(0.107377285719627, 0.0821179618758864,          0.191204296760245, 0.215258950862385, 0.317481852326526,          0.215228497760129, 0.123235071398074, 0.170717118999449,          0.184740133551779, 0.184740133551779, 0.102023856475547,          0.101928728560798, 0.128101303359069, 0.128101303359069,          0.0651877268759985, 0.11942955396425, 0.0925674017483885,          0.142060383584178, 0.277543603442508, 0.1019571402223         ), PROX_SUPERMARKET = c(0.191669323632479, 0.224545288466622,          0.214004200599592, 0.357579925001748, 0.442251956603444,          0.353026966783941, 0.399183655269817, 0.323117190327721,          0.287892528450529, 0.287892528450529, 0.57240719914765,          0.218983947734938, 0.314517101025506, 0.314517101025506,          0.511049564140858, 0.307102160965552, 0.188530812320699,          0.142061131074292, 0.277543419111335, 0.0953919744611677         ), WITHIN_350M_KINDERGARTEN = c(3L, 3L, 3L, 1L, 1L, 1L,          1L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 3L, 4L, 1L, 2L, 3L,          3L, 2L, 7L, 7L, 2L, 2L, 2L, 2L, 6L, 3L, 5L, 3L, 3L, 2L         ), WITHIN_350M_BUS = c(9L, 8L, 8L, 8L, 8L, 8L, 9L, 8L,          10L, 10L, 10L, 8L, 10L, 10L, 7L, 11L, 10L, 7L, 6L, 9L         ), WITHIN_1KM_PRISCH = c(4L, 3L, 4L, 3L, 4L, 4L, 4L,          4L, 3L, 3L, 5L, 4L, 3L, 3L, 1L, 4L, 4L, 4L, 5L, 4L),          DNeighbour = c(0, 172.536422353471, 213.240437396215,          241.871169072875, 254.164421747131, 259.258720536903,          367.366287845581, 425.597628893568, 483.49709007219,          485.995531500038, 513.116593468591, 528.400163673419,          667.758001377361, 669.138237292218, 699.315660505104,          742.15955194718, 753.132026805568, 787.527820144204,          791.925606068054, 817.791384560538)), row.names = c("335",      "336", "740", "980", "198", "184", "804", "294", "437", "803",      "22", "708", "162", "587", "426", "293", "143", "206", "351",      "556"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.912957434353894,      0.868640006048267, 0.832702171740697, 0.816144690593629,      0.80909374586326, 0.637128895430341, 0.531673821358301, 0.423092153976625,      0.418393588264844, 0.367619869954007, 0.339323782458622,      0.111065677354453, 0.109234272300379, 0.0722305745654621,      0.0311215344747929, 0.0230676138822665, 0.00527706974107054,      0.00387596672958139, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       638370397 
R squared (OOB):                  0.455668 

$Forests[[336]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 320800, 315000,      310000, 310000, 355000, 302500, 320000, 340000, 402000, 310000,      275000, 370000, 315000, 313000, 318000, 358000, 327000, 350000,      416000), floor_area_sqm = c(97, 92, 91, 96, 91, 93, 93, 93,      91, 93, 84, 84, 93, 104, 84, 84, 91, 84, 91, 98), storey_order = c(3L,      1L, 3L, 1L, 3L, 4L, 2L, 3L, 2L, 4L, 3L, 1L, 1L, 4L, 4L, 1L,      1L, 1L, 1L, 4L), remaining_lease_mths = c(746, 965, 774,      772, 774, 761, 764, 762, 782, 762, 806, 807, 782, 777, 772,      785, 760, 802, 957, 779), PROX_CBD = c(16.179026897848, 16.3149444157129,      16.1626205207603, 16.0124832316584, 16.3680873997092, 16.1297617902268,      15.7384939989151, 15.7384939989151, 16.0688727275577, 15.8715793299193,      16.5546706157429, 15.555826242216, 15.9422949327985, 15.5029529482698,      15.5029529482698, 15.4237712873611, 15.6053010835868, 15.395293903354,      16.4034806336055, 16.1674221276903), PROX_ELDERLYCARE = c(1.73064849730919,      1.76400828031834, 1.55788424655444, 1.41328722649904, 1.42545230549203,      1.29938230642316, 1.81389464514152, 1.81389464514152, 1.20623153653763,      1.28212929908789, 1.28388145020366, 1.98144426857027, 1.09392979000114,      1.60634233373903, 1.60634233373903, 1.66429806880172, 1.18278326755006,      1.48326161455178, 0.839978570407226, 0.762025473923165),          PROX_HAWKER = c(0.141690035201285, 0.267171899978326,          0.113648031708615, 0.231474226543029, 0.369132496020862,          0.335840869363962, 0.367446283592148, 0.367446283592148,          0.426544691499688, 0.428166805124, 0.634516033073404,          0.587918588004233, 0.571238530927929, 0.592613874358246,          0.592613874358246, 0.663653920640621, 0.745618024005524,          0.763118949388798, 0.889236545198411, 0.872582424517839         ), PROX_MRT = c(0.887672461516919, 0.980548762507945,          0.733071345608223, 0.526610558032509, 0.767751604782153,          0.514969181151661, 0.817431272071058, 0.817431272071058,          0.406145228037129, 0.326170963259121, 0.786543604226707,          0.961984472446029, 0.22642613478059, 0.579811001445256,          0.579811001445256, 0.641519249244255, 0.180817781363956,          0.486709870425329, 0.660139833101166, 0.447065767326062         ), PROX_PARK = c(0.539742315344257, 0.504828773517413,          0.622244080025509, 0.641040622161513, 0.655349613079545,          0.709135847201637, 0.197322246351151, 0.197322246351151,          0.697314652170583, 0.729541055973412, 0.413578796610442,          0.155244626205508, 0.749126986336644, 0.518465718930498,          0.518465718930498, 0.527546900647844, 0.580682002012541,          0.736647900507106, 0.251028276822116, 0.490935310554108         ), PROX_GOOD_PRISCH = c(6.53838177865997, 6.672975925328,          6.53246509089368, 6.39414010271149, 6.74866006620563,          6.52049985370614, 6.09593783675615, 6.09593783675615,          6.46919552361138, 6.26806838260706, 6.95112153433386,          5.90755023148013, 6.35759010380229, 5.8805780078001,          5.8805780078001, 5.79932453842233, 6.02648848177283,          5.79164197089728, 6.84769610957781, 6.62018800412964),          PROX_MALL = c(0.960112961135972, 0.965701391482886, 0.800586392071248,          0.598952481573277, 0.812249060303789, 0.568960814514176,          0.906877360376741, 0.906877360376741, 0.45653839484425,          0.405953132327172, 0.809678350084408, 1.05229171505891,          0.275355858531219, 0.667352945771092, 0.667352945771092,          0.726704111983395, 0.252610517585887, 0.561468969675593,          0.630333401213655, 0.402318259451987), PROX_CHAS = c(0.0821179618758864,          0.215258950862385, 0.107377285719627, 0.191204296760245,          0.317481852326526, 0.215228497760129, 0.184740133551779,          0.184740133551779, 0.123235071398074, 0.170717118999449,          0.102023856475547, 0.0651877268759985, 0.101928728560798,          0.128101303359069, 0.128101303359069, 0.11942955396425,          0.0925674017483885, 0.1019571402223, 0.142060383584178,          0.277543603442508), PROX_SUPERMARKET = c(0.224545288466622,          0.357579925001748, 0.191669323632479, 0.214004200599592,          0.442251956603444, 0.353026966783941, 0.287892528450529,          0.287892528450529, 0.399183655269817, 0.323117190327721,          0.57240719914765, 0.511049564140858, 0.218983947734938,          0.314517101025506, 0.314517101025506, 0.307102160965552,          0.188530812320699, 0.0953919744611677, 0.142061131074292,          0.277543419111335), WITHIN_350M_KINDERGARTEN = c(3L,          1L, 3L, 3L, 1L, 1L, 3L, 3L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(3L, 1L,          5L, 4L, 2L, 3L, 7L, 7L, 3L, 2L, 2L, 6L, 2L, 2L, 2L, 3L,          5L, 2L, 3L, 3L), WITHIN_350M_BUS = c(8L, 8L, 9L, 8L,          8L, 8L, 10L, 10L, 9L, 8L, 10L, 7L, 8L, 10L, 10L, 11L,          10L, 9L, 7L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 4L,          4L, 4L, 3L, 3L, 4L, 4L, 5L, 1L, 4L, 3L, 3L, 4L, 4L, 4L,          4L, 5L), DNeighbour = c(0, 132.085962510965, 172.536422353471,          360.370603031241, 375.684553956392, 431.304875087216,          446.110538333515, 450.108162070176, 537.244107630887,          568.286058287068, 633.775511279192, 646.431750946286,          691.706179440219, 720.532528998574, 721.789116210652,          785.189714602218, 884.267232198581, 899.719338766401,          951.416305497201, 964.251048246797)), row.names = c("336",      "980", "335", "740", "198", "184", "437", "803", "804", "294",      "22", "426", "708", "162", "587", "293", "143", "556", "206",      "351"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.962823437615073,      0.936990988162009, 0.740159219825263, 0.719446401302233,      0.639883197553498, 0.617725542123151, 0.611683308245191,      0.475507378672865, 0.425966157094743, 0.322616177644172,      0.303123836598223, 0.235620878781616, 0.195031528307714,      0.193313630202813, 0.113511962986226, 0.0252866479432381,      0.0167364705668203, 0.000699284745595248, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       629919296 
R squared (OOB):                  0.4628742 

$Forests[[337]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(342000, 428000, 4e+05,      365000, 335000, 345000, 415000, 358888, 316000, 304000, 420000,      365000, 420000, 390000, 340000, 420000, 365000, 460000, 370000,      446000), floor_area_sqm = c(94, 98, 97, 95, 90, 92, 100,      91, 104, 104, 90, 105, 99, 104, 104, 104, 107, 105, 104,      107), storey_order = c(1L, 3L, 1L, 1L, 1L, 2L, 1L, 3L, 1L,      2L, 2L, 2L, 3L, 1L, 1L, 4L, 1L, 4L, 2L, 3L), remaining_lease_mths = c(747,      730, 734, 735, 731, 742, 944, 763, 777, 776, 925, 771, 929,      763, 772, 774, 766, 770, 763, 783), PROX_CBD = c(13.7770670669378,      14.0949321583848, 13.4040436118709, 13.3652677077184, 13.8901285505698,      13.8901285505698, 13.1525533734461, 13.6826822978472, 13.8730731524118,      13.8730731524118, 12.960867808991, 14.8222691165004, 13.2222340992065,      13.1145091682395, 13.1145091682395, 15.0460728336845, 13.578535689825,      15.1689870500438, 13.075732494377, 13.1163383572019), PROX_ELDERLYCARE = c(0.919307603677702,      1.07365166923746, 0.954835536666776, 0.876024529291782, 0.540311266279695,      0.540311266279695, 0.640770029240432, 0.000158780971194199,      0.192118066579221, 0.192118066579221, 0.579007844644764,      0.151522520392741, 0.385934705647939, 0.233566729538939,      0.233566729538939, 0.0734543941007858, 0.535215785060316,      0.235447740717014, 0.206309775801723, 0.258125844069092),          PROX_HAWKER = c(0.478671478091809, 0.516176882783883,          0.780321580506598, 0.775887609068758, 0.213123049695643,          0.213123049695643, 0.959649545299011, 0.699744847940348,          0.635045114374877, 0.635045114374877, 1.16344345150942,          0.189112683951821, 1.08380419022874, 1.24018164124527,          1.24018164124527, 0.321243604465073, 0.775756145922257,          0.493984449855749, 1.2806114078583, 1.23349193679857),          PROX_MRT = c(0.771349314593772, 0.499812381699912, 0.515309591544804,          0.585785046275015, 0.793013171832836, 0.793013171832836,          0.944408516927639, 0.751023886560838, 0.865482366580506,          0.865482366580506, 0.899387073359532, 0.506610369321483,          0.503688459146237, 0.402767024758649, 0.402767024758649,          0.667161579318597, 0.357978123578611, 0.840089990200814,          0.218393806785847, 0.166998983475289), PROX_PARK = c(0.941140572803456,          0.62523741493865, 1.22140134317452, 1.30724345285799,          1.23128896715218, 1.23128896715218, 1.65277848527316,          1.77145949687945, 1.73324375775577, 1.73324375775577,          1.44660566239193, 1.20591145519053, 1.61082819122054,          1.4917670023494, 1.4917670023494, 1.32178658469093, 1.33984402369384,          1.48925201971724, 1.31516124688894, 1.28385310080255),          PROX_GOOD_PRISCH = c(3.3146343023011, 3.57828936266804,          2.95770979509606, 2.95461231779958, 3.56420611596829,          3.56420611596829, 2.95137840528657, 3.58938982364218,          3.76914808697313, 3.76914808697313, 2.82458087567675,          4.44405903659268, 3.2388029474634, 3.15473759747012,          3.15473759747012, 4.66454637236311, 3.55013641033528,          4.81784539373378, 3.06740437701091, 3.10133739012884),          PROX_MALL = c(0.672803550263317, 0.812049880186, 0.412160376682232,          0.473263954532778, 1.05377974643614, 1.05377974643614,          0.703422933264244, 0.770100764029299, 0.861712986146148,          0.861712986146148, 0.695129776671669, 1.74752862756084,          0.587950861513872, 0.504156272689578, 0.504156272689578,          1.83033637772351, 0.305514521023982, 1.93173107331603,          0.332903613799786, 0.281310431650798), PROX_CHAS = c(0.0886717393158711,          0.135156069731972, 0.240863562772424, 0.179342279988699,          0.0812638133573676, 0.0812638133573676, 0.1365287941905,          0.110149755252424, 0.0967538959757692, 0.0967538959757692,          0.341366062526918, 0.191193294854487, 0.151225190585885,          0.11048408202451, 0.11048408202451, 0.0544168696099871,          0.282171570268124, 0.22714457633909, 0.122328851042638,          0.155371621529032), PROX_SUPERMARKET = c(0.334979160094168,          0.352618767904154, 0.422907964790702, 0.487840963146543,          0.082811926566736, 0.082811926566736, 0.688592108834651,          0.11210687568128, 0.094684564379848, 0.094684564379848,          0.668273194253219, 0.188017328828043, 0.459946280432931,          0.362446168440829, 0.362446168440829, 0.286721618184596,          0.281417393052806, 0.459690883388295, 0.193246634773484,          0.141466460051892), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 1L, 1L, 1L, 1L, 0L, 2L, 2L, 2L, 0L, 1L, 0L, 0L, 0L,          1L, 1L, 2L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 1L,          5L, 6L, 4L, 4L, 2L, 3L, 3L, 3L, 1L, 2L, 5L, 6L, 6L, 1L,          4L, 1L, 4L, 4L), WITHIN_350M_BUS = c(10L, 9L, 6L, 6L,          4L, 4L, 6L, 9L, 8L, 8L, 2L, 6L, 8L, 7L, 7L, 5L, 10L,          4L, 10L, 9L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 4L,          4L, 2L, 2L, 2L, 2L, 3L, 2L, 4L, 3L, 3L, 1L, 4L, 2L, 3L,          3L), DNeighbour = c(0, 355.997997353047, 371.903606166234,          421.121700520045, 437.938175709025, 439.943189863431,          824.645449139442, 913.423771774334, 948.303108016742,          950.723367262347, 1021.28842085081, 1129.07303913365,          1134.32244717089, 1282.55278476811, 1287.40910032605,          1353.36608517246, 1446.25605096578, 1507.01105438602,          1507.85846913526, 1518.86738550146)), row.names = c("337",      "25", "757", "238", "90", "214", "496", "1000", "230", "36",      "831", "64", "350", "164", "844", "256", "856", "739", "929",      "105"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.893146355705144,      0.883685728868329, 0.852162902756668, 0.840640727777066,      0.839242209875595, 0.49733830665867, 0.407473247344622, 0.372330019426925,      0.369902640142169, 0.300168634395827, 0.200174182955004,      0.195592150001349, 0.0823489728951055, 0.0792733023614836,      0.0424583264346863, 0.00870993604447656, 0.000241837790427572,      0.000208619976158575, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1603919128 
R squared (OOB):                  0.1757091 

$Forests[[338]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(413888, 7e+05, 649888,      533000, 566888, 682000, 745000, 8e+05, 729999, 795888, 653000,      4e+05, 742000, 478000, 745000, 530000, 4e+05, 480000, 535000,      810000), floor_area_sqm = c(88, 95, 87, 88, 88, 100, 100,      105, 100, 95, 91, 104, 92, 92, 90, 118, 92, 92, 92, 90),          storey_order = c(2L, 3L, 3L, 1L, 8L, 10L, 10L, 6L, 6L,          7L, 2L, 4L, 7L, 4L, 7L, 2L, 1L, 3L, 3L, 10L), remaining_lease_mths = c(668,          1100, 1103, 653, 650, 1120, 1122, 938, 1122, 1140, 1121,          745, 1104, 716, 1057, 594, 555, 692, 694, 1045), PROX_CBD = c(7.88501742637481,          7.97001655790022, 7.02256530608061, 6.92829321613491,          6.76124856282603, 9.28682806708392, 9.28682806708392,          6.53309552941355, 9.41601606571959, 6.26284978479934,          9.51816518584724, 9.4187827620762, 9.57467117229508,          9.58813304663833, 6.0390103189171, 6.1023364257416, 5.99479776583207,          9.76973796844692, 9.76973796844692, 5.99670752478149),          PROX_ELDERLYCARE = c(0.487583248392117, 0.682273370470252,          0.467453442926814, 0.389684735109723, 0.20742531007413,          0.306248896776786, 0.306248896776786, 0.112238297630375,          0.14515851054369, 0.69800247969724, 0.0590206014568566,          0.579996323717894, 0.0836678964153836, 0.251441869005946,          0.798119493593788, 0.14668864145384, 0.420516157550055,          0.487200680071974, 0.487200680071974, 0.788986586736525         ), PROX_HAWKER = c(0.645875214067525, 0.840126401207934,          0.207247650371579, 0.133504850959355, 0.171967883722699,          0.449541776391294, 0.449541776391294, 0.357983508144609,          0.552624576950901, 0.130331819855385, 0.5145461029689,          0.508914568418093, 0.628838904549623, 0.391674386653945,          0.151348144296069, 0.107292567178633, 0.295460487376037,          0.323134910569429, 0.323134910569429, 0.199496524550099         ), PROX_MRT = c(0.707952731476156, 0.726942522279936,          0.409658939160285, 0.407218977151475, 0.31120761671675,          0.819017740329599, 0.819017740329599, 0.404028215814371,          0.796240617220745, 0.132116935816272, 0.689820066215858,          1.21403827268849, 0.731513991246432, 0.707146681079003,          0.225262429159589, 0.649340944892975, 0.305306521480229,          0.307725216106606, 0.307725216106606, 0.226103982865864         ), PROX_PARK = c(0.511064020035708, 0.618444971248099,          0.380160428577633, 0.377410917604964, 0.273246118986377,          0.754667699158598, 0.754667699158598, 0.407986988455317,          0.579398729399101, 0.742212481577902, 0.506309566114581,          0.633868788719276, 0.402026431996325, 0.630094576064042,          0.921128796109604, 0.711925115709351, 0.990750186553446,          0.692980820038259, 0.692980820038259, 0.97332058707081         ), PROX_GOOD_PRISCH = c(2.82520953766913, 2.78644315018514,          2.07008813823767, 2.0639866413545, 1.9155109693321, 1.50498632547922,          1.50498632547922, 1.86607127862969, 1.45792936689373,          2.39901634170637, 1.35033962190844, 1.8319493658717,          1.37880970746963, 1.10432321767326, 2.45094763896652,          1.64363723354824, 2.01228232098645, 0.945616550360875,          0.945616550360875, 2.41026804261554), PROX_MALL = c(0.535655644340599,          0.66906173274608, 0.395390786334096, 0.352244010010256,          0.191774654856939, 0.732362808464395, 0.732362808464395,          0.26702131219094, 0.616886214909116, 0.965908348364742,          0.508727078362918, 0.308706652763352, 0.493679276753517,          0.759347764163403, 1.15586968043917, 0.58741271025502,          0.848644658978131, 0.3113714109904, 0.3113714109904,          1.14826594162738), PROX_CHAS = c(0.102679570293108, 0.195243012850588,          0.278446199404133, 0.180332756228222, 0.19177461752976,          0.30624919123722, 0.30624919123722, 0.144966662256637,          0.145158576319141, 0.0879111496245458, 0.0590210156667789,          0.308706623046814, 0.0836673580931749, 0.395290416984683,          0.103484302768675, 0.142011209366223, 0.262677718190406,          0.164045702260751, 0.164045702260751, 0.157172829578474         ), PROX_SUPERMARKET = c(0.158953339299884, 0.169510705521186,          0.0888694671696128, 0.0762755382886037, 0.113049768890948,          0.309780650655361, 0.309780650655361, 0.26343506825427,          0.145877744762322, 0.0879117778441782, 0.0642147642973091,          0.31508799294366, 0.0769150331708007, 0.20799335196523,          0.198926203527595, 0.585686837888717, 0.3581952061826,          0.329801606095394, 0.329801606095394, 0.212384620357781         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 1L, 1L, 0L,          0L, 1L, 0L, 2L, 0L, 0L, 0L, 0L, 3L, 1L, 1L, 1L, 1L, 3L         ), WITHIN_350M_CHILDCARE = c(1L, 0L, 3L, 5L, 4L, 1L,          1L, 5L, 1L, 3L, 1L, 4L, 2L, 2L, 3L, 2L, 1L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(5L, 7L, 10L, 7L, 8L, 7L, 7L, 3L,          8L, 5L, 7L, 3L, 7L, 7L, 9L, 5L, 8L, 11L, 11L, 10L), WITHIN_1KM_PRISCH = c(1L,          1L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 1L, 2L, 0L, 2L, 2L, 1L,          1L, 1L, 3L, 3L, 1L), DNeighbour = c(0, 195.317404600023,          1030.10312307241, 1079.60906228877, 1270.47093451182,          1405.59757263432, 1411.60835474746, 1451.10686017792,          1541.95625229373, 1627.48177903503, 1644.44294472617,          1682.07334704295, 1708.63256313369, 1831.39806909646,          1868.99910163004, 1889.35233352225, 1892.78499440295,          1897.20978143724, 1904.75088402379, 1904.89626495275)), row.names = c("338",      "904", "221", "978", "834", "794", "308", "81", "928", "562",      "983", "278", "551", "640", "832", "18", "413", "926", "68",      "379"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.979083921257402,      0.500658332212845, 0.460754533818146, 0.308221987649701,      0.207501434679492, 0.20327166075819, 0.176144097738094, 0.118858373186169,      0.0729301828840644, 0.0649037049662694, 0.0485165362990615,      0.0381995017760956, 0.00572730351623605, 0.00139384554327006,      0.000264172731832876, 0.000160668638493403, 6.4866211065376e-05,      2.32969498167888e-08, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       14960929391 
R squared (OOB):                  0.241276 

$Forests[[339]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(356888, 345000, 370000,      390000, 374000, 370000, 330000, 375000, 365000, 369988, 365000,      350000, 405000, 385000, 398888, 395000, 385000, 370000, 378888,      353000), floor_area_sqm = c(91, 85, 90, 100, 94, 90, 85,      90, 91, 91, 90, 91, 93, 93, 93, 90, 93, 93, 90, 93), storey_order = c(5L,      6L, 2L, 6L, 3L, 3L, 4L, 4L, 5L, 4L, 3L, 1L, 6L, 4L, 6L, 1L,      5L, 3L, 6L, 1L), remaining_lease_mths = c(963, 968, 1016,      942, 987, 997, 992, 986, 993, 1002, 979, 992, 1138, 1138,      1127, 997, 1140, 1127, 949, 1136), PROX_CBD = c(13.1584578321731,      13.131637538161, 13.0393088300804, 12.9172885276263, 13.4804039164095,      13.5299248791723, 13.0825190214061, 13.5741440973944, 13.2138793761114,      13.2138793761114, 13.6373310118807, 12.6773565587662, 12.9439612539798,      12.9439612539798, 12.9439612539798, 13.4480864429089, 12.9599687546274,      12.9599687546274, 12.4403773011877, 12.9273038019752), PROX_ELDERLYCARE = c(0.528614390300154,      0.425459762987539, 0.38924985743242, 0.440978457512705, 0.746393599063579,      0.737190256849548, 0.120371550198491, 0.759293685927778,      0.200446926946864, 0.200446926946864, 0.753498484846986,      0.36284597954094, 0.119102012768026, 0.119102012768026, 0.119102012768026,      0.38095926022983, 0.230213196902471, 0.230213196902471, 0.624054710630084,      0.250608726248769), PROX_HAWKER = c(1.59466084315792, 1.67102672130552,      1.75849952292251, 1.76689210194785, 1.28815813567136, 1.28441999759135,      1.90213677974947, 1.13978469441664, 1.87231067409155, 1.87231067409155,      1.08343538740726, 1.72249172765999, 2.07494386608678, 2.07494386608678,      2.07494386608678, 1.11021170000921, 2.16699861471209, 2.16699861471209,      1.46996215979098, 2.14952956067865), PROX_MRT = c(0.258879114766752,      0.197259382412543, 0.103022581922205, 0.0642144868642362,      0.26513727845816, 0.189597864599581, 0.30821900832469, 0.147719870982538,      0.348476568009787, 0.348476568009787, 0.0904459633140829,      0.142163643631393, 0.464899886897548, 0.464899886897548,      0.464899886897548, 0.436627689790507, 0.576831878931421,      0.576831878931421, 0.140157494228817, 0.585364307317434),          PROX_PARK = c(0.332476768251147, 0.350705699368152, 0.291844359651056,          0.18581491955197, 0.640650351334918, 0.695004999747215,          0.557623544885242, 0.739375101722708, 0.701388397724732,          0.701388397724732, 0.802899104641211, 0.484105342641425,          0.700809394437081, 0.700809394437081, 0.700809394437081,          0.782217598170287, 0.828547076231476, 0.828547076231476,          0.525489875872169, 0.834972281659159), PROX_GOOD_PRISCH = c(4.13557899544262,          4.16094245740848, 4.09066115622083, 3.96344124390297,          4.38951064564596, 4.45977917937361, 4.27923006279343,          4.41976113712118, 4.43819501492863, 4.43819501492863,          4.47444600576345, 3.92066991749349, 4.27162250172191,          4.27162250172191, 4.27162250172191, 4.1394886986689,          4.35761410397793, 4.35761410397793, 3.6640626331803,          4.33782029579385), PROX_MALL = c(0.231810009894563, 0.249640338015364,          0.199839805040887, 0.125441786165087, 0.548104683226502,          0.598877544697789, 0.482494809972804, 0.656440732478167,          0.411800643307333, 0.411800643307333, 0.719665126414215,          0.485078273736912, 0.646092130793046, 0.646092130793046,          0.646092130793046, 0.747053206605742, 0.630320880177991,          0.630320880177991, 0.37643645467035, 0.664096204002356         ), PROX_CHAS = c(0.20604200841638, 0.23569948169583,          0.19843851708658, 0.146232137849481, 0.196586841411628,          0.124645472322039, 0.1115602293269, 0.175269995719201,          0.186991486151685, 0.186991486151685, 0.111923036871509,          0.334175310205776, 0.136400058110832, 0.136400058110832,          0.136400058110832, 0.419877338676521, 0.256311352337612,          0.256311352337612, 0.376436475429729, 0.273668945808659         ), PROX_SUPERMARKET = c(0.231809873410795, 0.249639808314143,          0.199839014107547, 0.125440795942109, 0.253358431108118,          0.181636181040517, 0.482493892596986, 0.3594639622224,          0.40197012970004, 0.40197012970004, 0.371011221099329,          0.485077395132212, 0.636728053790567, 0.636728053790567,          0.636728053790567, 0.428569074432488, 0.621743565428055,          0.621743565428055, 0.426522673463594, 0.655577492568061         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 2L, 3L, 4L,          0L, 2L, 0L, 0L, 2L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 8L, 9L, 5L, 5L,          7L, 6L, 5L, 5L, 6L, 8L, 4L, 4L, 4L, 5L, 3L, 3L, 4L, 3L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 9L, 9L, 8L, 4L, 10L,          2L, 2L, 11L, 13L, 3L, 3L, 3L, 4L, 3L, 3L, 11L, 3L), WITHIN_1KM_PRISCH = c(7L,          7L, 7L, 7L, 5L, 6L, 5L, 9L, 6L, 6L, 8L, 4L, 4L, 4L, 4L,          7L, 4L, 4L, 4L, 4L), DNeighbour = c(0, 99.3800821706629,          163.859659428137, 256.499340700831, 326.383905944331,          364.51751864482, 417.209011405467, 457.925681419868,          497.521396031142, 501.324169807398, 518.165530338895,          609.031407830188, 637.22167471338, 637.238018031836,          643.900580782857, 670.622783547356, 757.796813967939,          758.139978731211, 764.18486526838, 778.96297872813)), row.names = c("339",      "153", "141", "887", "72", "165", "886", "15", "474", "313",      "660", "400", "882", "732", "936", "655", "95", "990", "444",      "462"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.967711626188489,      0.913458610703386, 0.794901778101613, 0.679702471193473,      0.609993245670107, 0.508565144619359, 0.428257449344884,      0.350542164478023, 0.343168839810665, 0.310817465190666,      0.151097157002211, 0.109437293664947, 0.109414583366187,      0.100306287118262, 0.0669884279158147, 0.00287361811282353,      0.00278243638318977, 0.0014124913437929, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       333407231 
R squared (OOB):                  0.06017614 

$Forests[[340]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(447000, 438000, 360000,      390000, 376888, 430000, 478000, 420000, 412000, 380000, 435000,      435000, 615000, 422800, 450000, 417000, 390000, 429000, 548000,      550000), floor_area_sqm = c(107, 104, 84, 104, 104, 104,      104, 104, 103, 104, 103, 99, 84, 104, 105, 99, 103, 104,      93, 93), storey_order = c(3L, 2L, 2L, 1L, 3L, 2L, 5L, 2L,      4L, 1L, 4L, 2L, 2L, 4L, 2L, 3L, 1L, 2L, 4L, 3L), remaining_lease_mths = c(782,      812, 762, 809, 810, 819, 770, 922, 918, 924, 819, 928, 1122,      813, 757, 914, 773, 822, 1135, 1137), PROX_CBD = c(11.7840832214562,      11.7215458353159, 11.4815172953657, 11.7882471009294, 11.622690560426,      11.547248638023, 11.927322045494, 11.8892341343185, 11.9871965659798,      12.0301392517655, 11.381621166991, 12.2106818490232, 12.3801819754074,      11.1672746170477, 11.4573592114175, 12.2815153207229, 11.9179556382635,      11.1191912667925, 11.1809634086998, 11.2116042179965), PROX_ELDERLYCARE = c(0.481333190444255,      0.240093333498969, 0.182032582488253, 0.114277277444971,      0.175524774720266, 0.246353759583753, 0.77464979732367, 0.110349805405523,      0.210296865683283, 0.255083942589415, 0.382123855460196,      0.442541563379791, 0.738453704244922, 0.14075304944647, 0.52883250894194,      0.513657423159811, 0.757050983431463, 0.213121327483379,      0.333450295290741, 0.369355324070756), PROX_HAWKER = c(0.436117874461739,      0.609281739536534, 0.728271246274353, 0.647051853283446,      0.783966268147895, 0.837769476188058, 0.445987433628815,      0.684056106771311, 0.625285574708341, 0.598391326300702,      0.863892291353285, 0.524204307723605, 0.261296216065877,      1.04840790050398, 0.848364442784946, 0.52278816815954, 0.581821713307667,      1.08329799955244, 1.04207495818587, 1.02311573056961), PROX_MRT = c(0.81394482428473,      0.989064774064853, 0.756359380624344, 1.00317447086964, 1.15515804744233,      1.16228231940478, 0.493642118682657, 1.00424261648768, 0.923336133969517,      0.885297742933312, 0.424871345706255, 0.743103019894999,      0.367154517888221, 0.893429463565323, 0.275269590424193,      0.703998835661039, 0.401552834915971, 0.776456939054752,      0.580267989687754, 0.524888394814585), PROX_PARK = c(1.20101103678102,      1.28416187507733, 1.50398184725757, 1.24877122811849, 1.41684131410086,      1.4881280763212, 1.17760662255222, 1.19263079577799, 1.09395352284574,      1.04875150887626, 1.31830174708739, 0.863487882808023, 0.605799570777928,      1.25063890429238, 1.3775538710324, 0.796788171077343, 1.26489639581012,      1.13833451608328, 1.13378306757762, 1.15338615463339), PROX_GOOD_PRISCH = c(0.357669915539773,      0.585140695782779, 0.365254403810308, 0.713901761199557,      0.733057242670121, 0.735233663606362, 0.289303568244907,      0.842915880539328, 0.855677549512306, 0.860616187528585,      0.288839241027683, 0.91368762909787, 0.823417580851307, 0.623353133039123,      0.277148461253506, 0.952579960345566, 0.374797987706521,      0.586469336292635, 0.485317217067727, 0.456074275886943),          PROX_MALL = c(0.489619370966043, 0.690287469384684, 0.763531318053358,          0.741052769880115, 0.868993594299523, 0.918014501744059,          0.376851773239706, 0.787722851944232, 0.732793638615111,          0.707201836140707, 0.849953313581112, 0.634332011832188,          0.344173235497563, 1.08293003315278, 0.815329638117364,          0.630705874818675, 0.498039402667872, 1.10160019948421,          1.03968747299659, 1.01522535242687), PROX_CHAS = c(0.0667093090499658,          0.164718468919614, 0.0516610437101642, 0.0554870656895364,          0.151742844958785, 0.157099147473317, 0.339292519878925,          0.124859952031804, 0.171681037809818, 0.202915262499126,          0.115324197479935, 0.140964983635816, 0.126495411341712,          0.151540147087551, 0.179820414455961, 0.0753088652692227,          0.258806234431974, 0.143881852296294, 0.216965800691496,          0.206252010873132), PROX_SUPERMARKET = c(0.379080894647373,          0.169255457402684, 0.19171128272723, 0.0453848138423891,          0.151741730066283, 0.157098334004615, 0.405378875546255,          0.114394571204967, 0.172282484091702, 0.20670525505664,          0.186698572696543, 0.377835654599335, 0.30203349112312,          0.299482732316256, 0.301981775400679, 0.448534184110051,          0.542179538393358, 0.246182427713253, 0.212835414763751,          0.222574928361305), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 0L, 3L, 1L, 1L, 0L, 2L, 2L, 2L, 0L, 1L, 2L, 2L, 0L,          1L, 0L, 2L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 6L,          5L, 8L, 7L, 7L, 2L, 8L, 5L, 5L, 4L, 5L, 3L, 6L, 4L, 6L,          2L, 5L, 3L, 4L), WITHIN_350M_BUS = c(7L, 10L, 14L, 9L,          8L, 11L, 9L, 9L, 6L, 7L, 10L, 11L, 8L, 14L, 7L, 12L,          7L, 9L, 7L, 6L), WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 3L,          2L, 2L, 4L, 2L, 2L, 2L, 3L, 2L, 4L, 2L, 3L, 2L, 3L, 2L,          2L, 2L), DNeighbour = c(0, 256.080256945772, 302.323991887308,          366.651613076549, 429.836159273038, 457.502195584292,          486.477314366108, 491.839496562457, 499.856193022438,          506.400368355951, 556.760745853976, 582.557732654098,          601.458109697783, 609.414574035345, 612.039347850316,          634.680275839746, 635.691979443877, 670.097540883919,          679.362032925462, 682.83093751043)), row.names = c("340",      "625", "213", "508", "750", "598", "666", "148", "689", "727",      "744", "42", "315", "528", "843", "362", "63", "845", "178",      "347"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.738490171747341,      0.646370441018569, 0.506482704386484, 0.364502781652087,      0.303699384067774, 0.242484011793407, 0.231529922961214,      0.21541169680762, 0.202501189044154, 0.11233869503376, 0.0740567954671608,      0.0502379160151153, 0.041402164188376, 0.0386512105023672,      0.0185123008747465, 0.0177698009810158, 0.00136516596330329,      0.000102709169894384, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4239115718 
R squared (OOB):                  -0.04302319 

$Forests[[341]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 375000, 295000,      365000, 398000, 280000, 359000, 310000, 308000, 355000, 3e+05,      418000, 355000, 350000, 380000, 395000, 380000, 412000, 390000,      390000), floor_area_sqm = c(108, 104, 83, 103, 104, 84, 103,      84, 84, 104, 85, 104, 104, 93, 92, 93, 93, 92, 92, 92), storey_order = c(2L,      1L, 1L, 4L, 3L, 4L, 1L, 2L, 1L, 2L, 4L, 1L, 4L, 1L, 2L, 4L,      3L, 3L, 4L, 2L), remaining_lease_mths = c(807, 808, 812,      805, 823, 809, 799, 787, 779, 785, 798, 794, 814, 1111, 1142,      1108, 1110, 1128, 1142, 1128), PROX_CBD = c(14.3069689320192,      14.2674761918172, 14.136177090114, 14.5082496767788, 14.4215550437188,      14.5514247745221, 14.1470244070667, 14.7686155241139, 14.8104288104214,      14.7946380504301, 14.6468242567931, 14.6249352309891, 14.9797222810306,      14.6221320584002, 14.4940333615496, 14.6649260398624, 14.607628567626,      14.5596883563906, 14.5596883563906, 14.5136499050456), PROX_ELDERLYCARE = c(1.30284795398611,      1.37520258101488, 1.52241617566094, 1.0960579077266, 0.933706769700102,      0.934928905143492, 1.73443513584582, 1.18091019396193, 1.14385816982861,      1.02543356664281, 0.791783477476035, 1.66362706878828, 1.40865121451131,      0.410896008057539, 0.500918112427577, 0.374463671675583,      0.363539264939185, 0.399519357429504, 0.399519357429504,      0.440212280139716), PROX_HAWKER = c(1.30042856091519, 1.3725902814614,      1.5304212921709, 1.06968967826483, 0.964097104531415, 0.920905853639359,      1.71810403079302, 1.07995965555937, 1.03493347869974, 0.927587772885235,      0.771377618176498, 1.46189875323845, 1.17708155532767, 0.55845452984231,      0.682637638745144, 0.515424723672587, 0.571839614015762,      0.625641729464286, 0.625641729464286, 0.681591249319273),          PROX_MRT = c(0.431073100471927, 0.392323251912074, 0.407136749273107,          0.541381135472874, 0.766580328668093, 0.702240402731505,          0.316955810938843, 0.495669019430354, 0.547659244513397,          0.635923545376501, 0.834242720427877, 0.177135615746217,          0.541117453484526, 1.30119397664661, 1.32800225952209,          1.31347134818138, 1.42703012637354, 1.46473462254762,          1.46473462254762, 1.51230084146916), PROX_PARK = c(0.87843358408359,          0.808406007535371, 0.646645557650639, 0.854937524579578,          0.786856267919922, 0.717751277212032, 0.521638252737905,          0.837021679605882, 0.79060261488636, 0.687013904416796,          0.572284771964545, 0.967683324465338, 0.869949400509587,          0.524601749565547, 0.65941869562705, 0.48594234877488,          0.592644125813336, 0.656743209310805, 0.656743209310805,          0.723946747094916), PROX_GOOD_PRISCH = c(4.7599521059868,          4.71060068854172, 4.56541244462189, 4.9821455258424,          4.94298421634201, 5.05486565817651, 4.5417585858835,          5.21242267662931, 5.2589313064801, 5.2635668385575, 5.17213285521296,          5.00900650468442, 5.38873705701154, 5.26427170666348,          5.15263130971644, 5.30673314037113, 5.28617698570013,          5.25302892838613, 5.25302892838613, 5.22451833965112),          PROX_MALL = c(0.530519583310388, 0.598720745421956, 0.730402721918488,          0.395836928017505, 0.158055972255249, 0.264439990658005,          0.958986678954386, 0.644074766251318, 0.641907311269237,          0.540570027720398, 0.253080993480643, 1.02277508016934,          0.857174016474006, 0.412850725186958, 0.407798057490129,          0.439421746266814, 0.523782484457491, 0.550646738699849,          0.550646738699849, 0.591658790399046), PROX_CHAS = c(0.141608811196257,          0.0989632897848068, 0.0978085819739089, 0.111998728732921,          0.110909163864147, 0.0412741280494288, 0.262672355720334,          0.305551557127515, 0.273160540123658, 0.151656769473437,          0.118994056415591, 0.253202817693943, 0.0593781975043205,          0.0938393111767789, 0.0559452214520875, 0.0969357032130768,          0.198893245072118, 0.19650938121062, 0.19650938121062,          0.179710137259641), PROX_SUPERMARKET = c(0.179396317901182,          0.13781747249929, 0.152757697669253, 0.321173728185784,          0.155031856949385, 0.259076961683863, 0.246179282205813,          0.397697747354111, 0.406551385550075, 0.505826018716947,          0.246822057901315, 0.177136085505812, 0.101389584423307,          0.0938384818523742, 0.202112654374605, 0.0969351949685631,          0.223766299699327, 0.27843134046436, 0.27843134046436,          0.343491998264143), WITHIN_350M_KINDERGARTEN = c(2L,          3L, 3L, 0L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L,          1L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(7L, 7L,          7L, 4L, 3L, 4L, 4L, 3L, 2L, 5L, 5L, 1L, 3L, 6L, 4L, 6L,          4L, 3L, 3L, 4L), WITHIN_350M_BUS = c(7L, 6L, 7L, 8L,          10L, 7L, 6L, 8L, 7L, 8L, 9L, 9L, 10L, 9L, 9L, 8L, 7L,          7L, 7L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L,          2L, 2L, 3L, 4L, 3L, 3L, 2L, 4L, 4L, 3L, 4L, 4L, 4L, 4L,          4L), DNeighbour = c(0, 76.1219677169463, 235.651686648207,          238.771058332178, 370.66008812138, 374.928117228974,          441.940219699006, 463.346121881838, 504.914539640709,          506.351209410863, 524.675932568467, 574.090569982941,          715.311752790541, 932.994498139067, 938.378972292095,          949.706452150957, 1044.86269012639, 1074.17825654001,          1078.99142800993, 1121.72822253131)), row.names = c("341",      "377", "665", "884", "546", "253", "636", "101", "396", "424",      "862", "30", "984", "324", "702", "17", "452", "961", "163",      "706"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.990810887609102,      0.913681262971323, 0.911434188734841, 0.793545372256819,      0.789046019263295, 0.713650783561298, 0.687867382786676,      0.635831121835263, 0.633991056278654, 0.61030518062554, 0.544747066843912,      0.352070165930387, 0.0949849677742872, 0.0901129748918551,      0.0801971107537369, 0.0175172741393178, 0.00688616642170805,      0.00558705240522356, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1914406510 
R squared (OOB):                  -0.1523162 

$Forests[[342]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(540000, 495000, 510000,      475000, 580000, 548888, 565000, 505000, 520000, 575000, 580000,      376000, 540000, 403500, 5e+05, 505000, 380000, 380000, 490000,      433000), floor_area_sqm = c(93, 93, 93, 90, 92, 92, 92, 90,      92, 92, 92, 102, 90, 90, 92, 92, 90, 92, 92, 92), storey_order = c(4L,      3L, 3L, 5L, 4L, 2L, 3L, 6L, 1L, 4L, 4L, 5L, 3L, 5L, 3L, 4L,      4L, 1L, 3L, 4L), remaining_lease_mths = c(1075, 1076, 1076,      1031, 1134, 1130, 1127, 1033, 1138, 1137, 1140, 944, 1067,      965, 1049, 1051, 973, 1037, 1038, 1084), PROX_CBD = c(11.8019303594103,      11.7824349405223, 11.734228152501, 11.780035597066, 11.7494815193957,      11.7494815193957, 11.6525204845234, 11.6571985599938, 11.6952918230505,      11.6525204845234, 11.6525204845234, 11.9885535057438, 11.5237533038112,      12.0682850666201, 11.4975151935682, 11.4388659085475, 11.9491294576901,      11.6419253241709, 11.6213283462416, 11.8702915361943), PROX_ELDERLYCARE = c(0.184707688528033,      0.213047345375207, 0.217445500321488, 0.389019901488026,      0.0736890817471424, 0.0736890817471424, 0.090696724945174,      0.400746835300904, 0.0818897866131208, 0.090696724945174,      0.090696724945174, 0.468647269590137, 0.374021376468387,      0.36227142211874, 0.485429735975203, 0.529438756707198, 0.351349913726565,      0.626216066088841, 0.621923465733728, 0.670900780040593),          PROX_HAWKER = c(0.425288384889406, 0.411134055372247,          0.366555491930585, 0.475091880549249, 0.418792449609449,          0.418792449609449, 0.325622570567264, 0.38372613736418,          0.374319678668878, 0.325622570567264, 0.325622570567264,          0.661637750611862, 0.235307086042243, 0.732401821736703,          0.320302217757218, 0.319632581294072, 0.693645859237657,          0.553081930127745, 0.537052085835962, 0.715369360111721         ), PROX_MRT = c(0.341923672362566, 0.323171872402698,          0.276453864170284, 0.149757666469573, 0.183595482094196,          0.183595482094196, 0.219824289848129, 0.187661086924798,          0.18359152527436, 0.219824289848129, 0.219824289848129,          0.253577460439113, 0.148196296616071, 0.353072027979069,          0.24936700359253, 0.264110896255266, 0.207404211118571,          0.168432978085695, 0.182944945438028, 0.146531371307633         ), PROX_PARK = c(1.09015045463689, 1.04913519120928,          1.00928973198994, 0.915827670442916, 1.25382465781663,          1.25382465781663, 1.18955170998222, 0.822874314333037,          1.23082333360032, 1.18955170998222, 1.18955170998222,          0.965214735166117, 0.808531626238996, 1.2554933111164,          0.698336840868775, 0.653351036954048, 1.42337349535551,          0.654970873229416, 0.643411448820926, 0.8322137924942         ), PROX_GOOD_PRISCH = c(2.57167610218627, 2.5757070458522,          2.54247396470066, 2.67648686403773, 2.40225451049103,          2.40225451049103, 2.3279627535371, 2.58492752090912,          2.35260315569007, 2.3279627535371, 2.3279627535371, 2.84793008582659,          2.43173748992112, 2.66094910730305, 2.48345794754568,          2.45055199705462, 2.48771655129493, 2.71543842399088,          2.69528593883292, 2.91053685401804), PROX_MALL = c(0.70263709534569,          0.732391369928616, 0.781937846313192, 0.657761426948524,          0.730910693989521, 0.730910693989521, 0.807719243520252,          0.718523422751835, 0.785373664552542, 0.807719243520252,          0.807719243520252, 0.581599658792334, 0.840908486660855,          0.424043071559413, 0.805279144871904, 0.840491697823826,          0.591401580344059, 0.576398809288588, 0.597386337892971,          0.385092319171944), PROX_CHAS = c(0.144895120017984,          0.182294192745256, 0.203102352137365, 0.165734916528407,          0.105514964386053, 0.105514964386053, 0.162428164506486,          0.162236141473446, 0.141926234339659, 0.162428164506486,          0.162428164506486, 0.0548782345589675, 0.0822817354855642,          0.0850792531740411, 0.18789773503711, 0.210772889992189,          0.136369833447508, 0.118628580179885, 0.130352204164602,          0.179381733260264), PROX_SUPERMARKET = c(0.149354766345577,          0.186528474083994, 0.206717744357565, 0.328761363845442,          0.100761764224213, 0.100761764224213, 0.158766807317564,          0.248678179468178, 0.137537075296593, 0.158766807317564,          0.158766807317564, 0.41771106664497, 0.113409172087645,          0.0850782630125017, 0.186124684843571, 0.189609627596398,          0.234851160706955, 0.0879874709963817, 0.0679201472407272,          0.31749021679057), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(7L, 8L, 8L,          9L, 5L, 5L, 4L, 8L, 4L, 4L, 4L, 6L, 4L, 5L, 4L, 4L, 6L,          6L, 6L, 9L), WITHIN_350M_BUS = c(13L, 11L, 10L, 8L, 14L,          14L, 11L, 9L, 13L, 11L, 11L, 14L, 5L, 12L, 8L, 7L, 12L,          8L, 8L, 10L), WITHIN_1KM_PRISCH = c(6L, 7L, 5L, 6L, 6L,          6L, 6L, 5L, 6L, 6L, 6L, 7L, 4L, 7L, 4L, 5L, 7L, 5L, 6L,          5L), DNeighbour = c(0, 41.022101603679, 83.9996334750413,          216.097124896227, 243.944077724449, 252.803027387318,          264.98643969522, 268.630618523029, 268.734891429429,          270.539972800038, 271.845501987148, 292.022147958711,          312.949835725668, 398.013082921171, 400.41872594333,          451.025095499322, 467.379623278193, 473.204196358507,          479.282486200028, 491.738377873024)), row.names = c("342",      "260", "409", "263", "281", "808", "557", "977", "917", "580",      "792", "486", "652", "860", "553", "271", "175", "421", "89",      "110"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.9861297667726,      0.942491304625317, 0.651053528722638, 0.568364581116419,      0.541255233916841, 0.503548786212498, 0.492200140302116,      0.491875051363667, 0.486244538808131, 0.482169132438603,      0.419041537135592, 0.353995898021672, 0.118936357544551,      0.113520619834084, 0.0251965635463915, 0.00933507533995442,      0.00547032770049758, 0.00250190232837679, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2148699386 
R squared (OOB):                  0.5309113 

$Forests[[343]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(540000, 565000, 575000,      585000, 417000, 435000, 658000, 440000, 410000, 615000, 380000,      435000, 412000, 420000, 428888, 390000, 415000, 438000, 447000,      376888), floor_area_sqm = c(93, 93, 93, 93, 99, 99, 84, 100,      100, 84, 104, 100, 103, 104, 84, 104, 84, 104, 107, 104),          storey_order = c(4L, 6L, 5L, 4L, 3L, 2L, 3L, 3L, 3L,          2L, 1L, 4L, 4L, 2L, 3L, 1L, 3L, 2L, 3L, 3L), remaining_lease_mths = c(1142,          1127, 1133, 1142, 914, 928, 1120, 911, 915, 1122, 924,          924, 918, 922, 774, 809, 782, 812, 782, 810), PROX_CBD = c(12.5378737745647,          12.4937468159193, 12.4342034244884, 12.454441113408,          12.2815153207229, 12.2106818490232, 12.4891302242583,          12.2087069526051, 12.2087069526051, 12.3801819754074,          12.0301392517655, 12.114386347938, 11.9871965659798,          11.8892341343185, 12.8776183162857, 11.7882471009294,          12.8776183162857, 11.7215458353159, 11.7840832214562,          11.622690560426), PROX_ELDERLYCARE = c(0.76025522927712,          0.714783075399861, 0.678867196986192, 0.717258387107597,          0.513657423159811, 0.442541563379791, 0.707031754326944,          0.434858408662556, 0.434858408662556, 0.738453704244922,          0.255083942589415, 0.421163091926404, 0.210296865683283,          0.110349805405523, 0.211786543917104, 0.114277277444971,          0.211786543917104, 0.240093333498969, 0.481333190444255,          0.175524774720266), PROX_HAWKER = c(0.672948721825079,          0.680821394190482, 0.504612881494125, 0.459376407452819,          0.52278816815954, 0.524204307723605, 0.384467206049481,          0.692592935098248, 0.692592935098248, 0.261296216065877,          0.598391326300702, 0.885134801830427, 0.625285574708341,          0.684056106771311, 0.677647820815747, 0.647051853283446,          0.677647820815747, 0.609281739536534, 0.436117874461739,          0.783966268147895), PROX_MRT = c(0.707305973375369, 0.743366527772832,          0.586933783104383, 0.518913352820399, 0.703998835661039,          0.743103019894999, 0.38468199977318, 0.89623888155871,          0.89623888155871, 0.367154517888221, 0.885297742933312,          1.10882075300419, 0.923336133969517, 1.00424261648768,          0.301948361527339, 1.00317447086964, 0.301948361527339,          0.989064774064853, 0.81394482428473, 1.15515804744233         ), PROX_PARK = c(0.628331945846246, 0.683130710636032,          0.628391467794767, 0.580711209690395, 0.796788171077343,          0.863487882808023, 0.50651752093578, 0.954913184146477,          0.954913184146477, 0.605799570777928, 1.04875150887626,          1.14970360230785, 1.09395352284574, 1.19263079577799,          0.246982674114576, 1.24877122811849, 0.246982674114576,          1.28416187507733, 1.20101103678102, 1.41684131410086),          PROX_GOOD_PRISCH = c(1.17951788917503, 1.16886515239787,          1.01367306567257, 0.990054087408291, 0.952579960345566,          0.91368762909787, 0.94986022590219, 1.04944877580977,          1.04944877580977, 0.823417580851307, 0.860616187528585,          1.17061030478036, 0.855677549512306, 0.842915880539328,          1.22334421357001, 0.713901761199557, 1.22334421357001,          0.585140695782779, 0.357669915539773, 0.733057242670121         ), PROX_MALL = c(0.766094086501437, 0.778202426893423,          0.600548053404267, 0.549832225559512, 0.630705874818675,          0.634332011832188, 0.458049841664737, 0.802829369116586,          0.802829369116586, 0.344173235497563, 0.707201836140707,          0.995792127022496, 0.732793638615111, 0.787722851944232,          0.503182159926002, 0.741052769880115, 0.503182159926002,          0.690287469384684, 0.489619370966043, 0.868993594299523         ), PROX_CHAS = c(0.187116592266412, 0.147744885974614,          0.134041173915956, 0.134313038880304, 0.0753088652692227,          0.140964983635816, 3.00974727266337e-08, 0.0852358826892552,          0.0852358826892552, 0.126495411341712, 0.202915262499126,          0.138740180982893, 0.171681037809818, 0.124859952031804,          0.128785172156574, 0.0554870656895364, 0.128785172156574,          0.164718468919614, 0.0667093090499658, 0.151742844958785         ), PROX_SUPERMARKET = c(0.707597649659388, 0.667447252804164,          0.543693418915242, 0.499432454100223, 0.448534184110051,          0.377835654599335, 0.425107542879533, 0.414959148864982,          0.414959148864982, 0.30203349112312, 0.20670525505664,          0.459680111992834, 0.172282484091702, 0.114394571204967,          0.17067511852319, 0.0453848138423891, 0.17067511852319,          0.169255457402684, 0.379080894647373, 0.151741730066283         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 2L, 2L, 1L, 1L,          2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 0L, 3L, 0L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 4L, 4L, 6L, 5L,          2L, 5L, 5L, 3L, 5L, 1L, 5L, 8L, 1L, 8L, 1L, 6L, 3L, 7L         ), WITHIN_350M_BUS = c(11L, 11L, 12L, 11L, 12L, 11L,          10L, 11L, 11L, 8L, 7L, 8L, 6L, 9L, 12L, 9L, 12L, 10L,          7L, 8L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 3L, 2L, 2L,          5L, 1L, 1L, 4L, 2L, 1L, 2L, 2L, 4L, 3L, 4L, 3L, 4L, 2L         ), DNeighbour = c(0, 51.0795129975685, 163.187275798092,          219.139265964932, 256.128260482205, 328.498254492148,          331.62459155025, 343.099516898314, 343.219277556317,          423.175095099125, 500.100618195302, 520.559405954774,          550.229229215401, 648.085725940854, 741.198641789092,          745.901954310501, 746.294900166678, 833.085807073072,          877.246754477457, 909.81692769508)), row.names = c("343",      "24", "310", "641", "362", "42", "505", "410", "680", "315",      "727", "707", "689", "148", "892", "508", "259", "625", "340",      "750"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99370594579222,      0.936692973449171, 0.887337732713149, 0.84777797389744, 0.756266548461199,      0.751936457818428, 0.735802531962251, 0.735632191611549,      0.614126626201872, 0.487010004881713, 0.452437513439212,      0.402278453245202, 0.242647365906971, 0.113108599846851,      0.107496520405449, 0.107032530419843, 0.0261019728138886,      0.00494429235783459, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1742543238 
R squared (OOB):                  0.7628177 

$Forests[[344]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(635000, 592000, 518000,      480000, 420000, 492000, 475000, 550000, 507000, 515000, 455000,      315000, 380000, 394000, 380000, 480000, 366800, 440000, 335000,      330000), floor_area_sqm = c(105, 108, 88, 84, 84, 84, 89,      105, 105, 105, 95, 91, 100, 102, 103, 104, 105, 93, 84, 82     ), storey_order = c(4L, 2L, 3L, 1L, 2L, 4L, 1L, 3L, 2L, 2L,      2L, 1L, 4L, 2L, 1L, 2L, 2L, 3L, 2L, 4L), remaining_lease_mths = c(833,      810, 770, 789, 777, 788, 789, 786, 770, 762, 784, 722, 931,      769, 923, 777, 761, 759, 791, 657), PROX_CBD = c(7.22087947204147,      7.18468073982128, 7.79515244158294, 7.1729887096531, 7.13486939655985,      7.5632891932167, 7.05609226259357, 7.59960912304084, 7.67544881001386,      7.9455961592131, 7.49071683084666, 8.21547938057256, 8.15573636625741,      6.11041994069873, 8.21483984631558, 8.81196120759187, 8.5913881835975,      5.4791067318598, 9.13853516155078, 6.06674643703895), PROX_ELDERLYCARE = c(1.54373359073656,      1.63490637838594, 1.83577537822547, 1.69705296801524, 1.66246099208497,      1.91313469252559, 1.59520672965634, 1.85656629786719, 1.73611556579875,      1.77517839654503, 1.54524415115482, 0.425001866306461, 0.30639563225599,      0.700949857098155, 0.287120499253456, 0.68560621126507, 0.675108088860868,      0.505585511375112, 1.86142420062345, 0.10409496222889), PROX_HAWKER = c(1.05968958012269,      1.02937341390922, 1.19066876388205, 1.25907896080059, 1.23225985170817,      1.10032443578502, 1.17571504816288, 1.04404154823438, 0.926505356032751,      0.800389309546525, 0.996854886033364, 0.272525769496456,      0.288074572046437, 0.917579692245523, 0.248204869380096,      0.290355020850324, 0.151496134675632, 0.736115689949186,      0.823671555860494, 0.346985863757343), PROX_MRT = c(0.206889953987817,      0.13577722868059, 0.499752126280618, 0.428812034955963, 0.448181123975075,      0.433934859087748, 0.487588773645627, 0.492673618184051,      0.617354557404891, 0.75069701440163, 0.34804043957783, 0.877462529610437,      0.998476915081282, 0.781870827245549, 1.08736551837768, 0.425157896719621,      0.864705124656065, 0.797555156120123, 1.58022074581844, 1.1005845300218     ), PROX_PARK = c(0.769170147627311, 0.802458220215738, 0.723268787935639,      0.405529884687165, 0.367092279962757, 0.474041874627479,      0.288106802683489, 0.415297912555755, 0.29052205197453, 0.364839433462782,      0.292176487074364, 0.34344129155164, 0.465482353353317, 0.263971642616293,      0.587773758099403, 0.468007817587664, 0.545921527880028,      0.728040918615253, 0.533109662164166, 0.741200181243785),          PROX_GOOD_PRISCH = c(2.65891054731874, 2.6636605310312,          1.9917971907287, 2.56840479702555, 2.60671936453148,          2.17804686625686, 2.64150694603645, 2.14133679267892,          2.0690813845722, 1.79538098544694, 2.30076298730527,          2.64672046335999, 2.76944558246381, 4.13214763824822,          2.8757656049093, 2.18636815139252, 2.65365036334729,          2.93310132502147, 0.605615063995802, 1.85819018299306         ), PROX_MALL = c(0.389192825268572, 0.319563922107573,          0.483735594398556, 0.42122511428052, 0.44210957307938,          0.413593098419561, 0.487675149993812, 0.472342316185911,          0.59706101530086, 0.730136421618933, 0.79872232386887,          0.807676293785945, 0.92903564794814, 1.32133984316634,          1.020621498239, 0.389401354829447, 0.81045000642783,          0.719613179783111, 0.925377142856182, 1.22044581333525         ), PROX_CHAS = c(0.201367273106442, 0.244287808759251,          0.157541179554435, 0.364873472162596, 0.395328272461269,          5.15903103580734e-08, 0.464118937564998, 0.0587537711423344,          0.183520259224292, 0.312128892467037, 0.204927614889482,          0.136581974857907, 0.211513021624011, 0.235562548335707,          0.132091194783373, 0.210741683871549, 0.0629474356823598,          0.0706483510319072, 0.179557542480515, 0.252393584019624         ), PROX_SUPERMARKET = c(0.425467495913439, 0.350395790631763,          0.305647853022819, 0.372543253077343, 0.392878094873427,          0.0709823460282706, 0.438288204779491, 0.121599745844786,          0.242167451420959, 0.390939423908347, 0.535956758401375,          0.281285688066644, 0.324462496048725, 0.174913922147584,          0.249780587504203, 0.365648379234028, 0.140831249897628,          0.0706487501399716, 0.223142170833011, 0.321431524942613         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 2L, 1L, 0L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 6L, 2L, 3L, 4L, 4L,          3L, 5L, 5L, 4L, 3L, 2L, 2L, 1L, 1L, 3L, 0L, 2L, 3L, 2L         ), WITHIN_350M_BUS = c(11L, 12L, 10L, 8L, 7L, 9L, 5L,          8L, 8L, 7L, 4L, 8L, 8L, 4L, 8L, 7L, 8L, 3L, 11L, 6L),          WITHIN_1KM_PRISCH = c(1L, 1L, 2L, 3L, 3L, 3L, 2L, 4L,          4L, 3L, 4L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 5L), DNeighbour = c(0,          91.4093730334983, 695.897969596155, 765.906567490473,          777.954930129127, 787.953543462036, 795.935745502325,          840.878664928682, 968.092093950209, 1040.53952389791,          1184.70301923539, 1478.78838780399, 1509.49142838424,          1513.70698697834, 1661.00609796389, 1829.2049020165,          1873.09833140007, 1910.3345430094, 2108.95494950573,          2192.43904283481)), row.names = c("344", "370", "209",      "133", "82", "829", "449", "735", "647", "345", "950", "691",      "435", "135", "60", "465", "894", "802", "485", "628"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.996526408297836, 0.808654305316099, 0.770816557656904,      0.764036573746127, 0.7583529120191, 0.7537788525925, 0.727439022644402,      0.648065710996247, 0.60023972605235, 0.501282008491575, 0.297087108836398,      0.276643958721169, 0.273861931831821, 0.181503581675052,      0.0923571344055908, 0.0729515263956381, 0.0579782388931335,      0.00558104865652148, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3813541130 
R squared (OOB):                  0.5078648 

$Forests[[345]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(515000, 507000, 550000,      492000, 518000, 455000, 480000, 420000, 475000, 592000, 635000,      335000, 330000, 340000, 355000, 370000, 405000, 335000, 418888,      330000), floor_area_sqm = c(105, 105, 105, 84, 88, 95, 84,      84, 89, 108, 105, 84, 91, 91, 91, 92, 102, 91, 100, 84),          storey_order = c(2L, 2L, 3L, 4L, 3L, 2L, 1L, 2L, 1L,          2L, 4L, 2L, 4L, 1L, 3L, 4L, 3L, 3L, 2L, 4L), remaining_lease_mths = c(762,          770, 786, 788, 770, 784, 789, 777, 789, 810, 833, 791,          777, 786, 763, 699, 928, 754, 932, 806), PROX_CBD = c(7.9455961592131,          7.67544881001386, 7.59960912304084, 7.5632891932167,          7.79515244158294, 7.49071683084666, 7.1729887096531,          7.13486939655985, 7.05609226259357, 7.18468073982128,          7.22087947204147, 9.13853516155078, 9.37335060635629,          9.37335060635629, 9.41668106440496, 8.34406204250889,          9.51108523911647, 8.32334928378694, 9.64941173000682,          9.63621863936401), PROX_ELDERLYCARE = c(1.77517839654503,          1.73611556579875, 1.85656629786719, 1.91313469252559,          1.83577537822547, 1.54524415115482, 1.69705296801524,          1.66246099208497, 1.59520672965634, 1.63490637838594,          1.54373359073656, 1.86142420062345, 1.66235796621519,          1.66235796621519, 1.6892356184521, 0.224798473876808,          1.80905665624389, 0.163895949541214, 1.9510043332774,          1.48805339077067), PROX_HAWKER = c(0.800389309546525,          0.926505356032751, 1.04404154823438, 1.10032443578502,          1.19066876388205, 0.996854886033364, 1.25907896080059,          1.23225985170817, 1.17571504816288, 1.02937341390922,          1.05968958012269, 0.823671555860494, 0.823170476035045,          0.823170476035045, 0.864780296064508, 0.308707066729857,          0.978663880778012, 0.1672780527947, 0.940071074791988,          0.677896697868769), PROX_MRT = c(0.75069701440163, 0.617354557404891,          0.492673618184051, 0.433934859087748, 0.499752126280618,          0.34804043957783, 0.428812034955963, 0.448181123975075,          0.487588773645627, 0.13577722868059, 0.206889953987817,          1.58022074581844, 2.01327082024864, 2.01327082024864,          2.02952953118228, 1.14033242259394, 1.99882067476962,          1.03738004469153, 1.69853939108909, 1.32502198166586),          PROX_PARK = c(0.364839433462782, 0.29052205197453, 0.415297912555755,          0.474041874627479, 0.723268787935639, 0.292176487074364,          0.405529884687165, 0.367092279962757, 0.288106802683489,          0.802458220215738, 0.769170147627311, 0.533109662164166,          0.548771819269344, 0.548771819269344, 0.564264159971047,          0.748901820021747, 0.674672834209049, 0.839050716088865,          0.624691995850973, 0.202594030185392), PROX_GOOD_PRISCH = c(1.79538098544694,          2.0690813845722, 2.14133679267892, 2.17804686625686,          1.9917971907287, 2.30076298730527, 2.56840479702555,          2.60671936453148, 2.64150694603645, 2.6636605310312,          2.65891054731874, 0.605615063995802, 0.581790960048334,          0.581790960048334, 0.555662252109323, 1.74338078296013,          0.439174603441127, 1.6197212814627, 0.107363170703005,          0.53169554186008), PROX_MALL = c(0.730136421618933, 0.59706101530086,          0.472342316185911, 0.413593098419561, 0.483735594398556,          0.79872232386887, 0.42122511428052, 0.44210957307938,          0.487675149993812, 0.319563922107573, 0.389192825268572,          0.925377142856182, 0.835862391091354, 0.835862391091354,          0.873946799305891, 0.813314037197816, 0.994410311642026,          0.952850965311535, 0.625847194134012, 0.564979440463645         ), PROX_CHAS = c(0.312128892467037, 0.183520259224292,          0.0587537711423344, 5.15903103580734e-08, 0.157541179554435,          0.204927614889482, 0.364873472162596, 0.395328272461269,          0.464118937564998, 0.244287808759251, 0.201367273106442,          0.179557542480515, 0.240374554675797, 0.240374554675797,          0.248119447519373, 0.347263729641395, 0.21913048386411,          0.218034921212892, 0.134178633248207, 0.204909081807225         ), PROX_SUPERMARKET = c(0.390939423908347, 0.242167451420959,          0.121599745844786, 0.0709823460282706, 0.305647853022819,          0.535956758401375, 0.372543253077343, 0.392878094873427,          0.438288204779491, 0.350395790631763, 0.425467495913439,          0.223142170833011, 0.322141005481158, 0.322141005481158,          0.315469124538892, 0.624544400837596, 0.21913043091083,          0.502751024921131, 0.344381560072065, 0.145410708854306         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 0L,          1L, 1L, 2L, 1L, 1L, 2L, 0L, 0L, 1L, 1L, 2L, 1L, 3L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 5L, 5L, 4L, 2L, 3L,          3L, 4L, 3L, 6L, 7L, 3L, 2L, 2L, 2L, 1L, 4L, 1L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 8L, 8L, 9L, 10L, 4L, 8L, 7L,          5L, 12L, 11L, 11L, 5L, 5L, 6L, 5L, 7L, 4L, 8L, 7L), WITHIN_1KM_PRISCH = c(3L,          4L, 4L, 3L, 2L, 4L, 3L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 1L,          3L, 1L, 3L, 3L, 3L), DNeighbour = c(0, 293.719459541229,          343.958809981392, 374.11591959772, 396.39124794738, 632.141516784866,          764.91716453508, 806.274910638882, 886.435800541795,          1004.62382348866, 1040.53952389791, 1201.4968060235,          1493.39153040795, 1493.96075785176, 1534.32417370944,          1562.54743774711, 1613.58255883284, 1682.89042842655,          1710.64067232551, 1754.47636264328)), row.names = c("345",      "647", "735", "829", "209", "950", "133", "82", "449", "370",      "344", "485", "334", "737", "725", "204", "719", "713", "459",      "189"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.944732292497208,      0.924608789999852, 0.911129043811253, 0.900515622631598,      0.757217404357535, 0.655972287536967, 0.622222828401925,      0.55462298841564, 0.451748363314226, 0.42024064961738, 0.281986970104466,      0.0758874413541515, 0.0755833833070725, 0.0553262199555199,      0.0427747963427361, 0.023765834226973, 0.00639023841512378,      0.0024350138142099, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6385581726 
R squared (OOB):                  0.2667311 

$Forests[[346]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(446000, 480000, 445000,      520000, 680000, 638000, 409500, 418000, 680000, 515000, 545000,      450000, 538000, 650000, 515000, 838000, 560000, 760000, 582000,      815000), floor_area_sqm = c(94, 94, 84, 107, 76, 105, 84,      84, 86, 110, 86, 104, 90, 86, 84, 91, 105, 91, 104, 91),          storey_order = c(2L, 6L, 3L, 2L, 11L, 3L, 3L, 3L, 3L,          1L, 1L, 1L, 5L, 3L, 4L, 12L, 2L, 9L, 3L, 11L), remaining_lease_mths = c(723,          725, 647, 892, 1071, 918, 807, 804, 1025, 859, 1025,          828, 995, 1018, 804, 1106, 913, 1091, 935, 1109), PROX_CBD = c(4.45295385586978,          4.50933618399607, 4.82546817648507, 4.23142849537126,          5.17664618337401, 5.24252163748666, 4.20973993763024,          4.20973993763024, 5.19905620756448, 5.31333197008925,          5.19905620756448, 5.12061996426338, 4.4759193492502,          5.26278746968545, 3.75781957676323, 5.38577040159704,          3.91005014077452, 5.4124717534787, 5.4901102241405, 5.46273996086224         ), PROX_ELDERLYCARE = c(0.645271528549996, 0.665866395733666,          0.401252043911139, 0.272010492111063, 0.203403853153192,          0.232760622048558, 0.156291063754703, 0.156291063754703,          0.3148233892717, 0.301885421229742, 0.3148233892717,          0.279354008399566, 0.136621520737764, 0.310343810032976,          0.582389211118023, 0.343873602324804, 0.449207181019876,          0.277453528347438, 0.157919913507301, 0.323825203617813         ), PROX_HAWKER = c(0.601904675681234, 0.665007751295857,          0.33634581375869, 0.392124905911543, 0.242990200436355,          0.316098981667774, 0.46881842734995, 0.46881842734995,          0.424686940189847, 0.15027253820603, 0.424686940189847,          0.158729667464322, 0.736355433757935, 0.356302899600742,          0.393163811818296, 0.225377370173431, 0.464701711390969,          0.214745652304629, 0.258924665495, 0.17988889362956),          PROX_MRT = c(0.66128766903618, 0.549595780709265, 0.437510974512092,          0.870814763860364, 0.347215067697513, 0.353807427048722,          0.750034220630686, 0.750034220630686, 0.253583166891469,          0.839256513816073, 0.253583166891469, 1.12797954219589,          0.930431293452388, 0.321982757522174, 0.434583879195091,          0.452916639575337, 0.361698258812245, 0.525678460826462,          1.30755754576723, 0.495510769155532), PROX_PARK = c(0.473457593144303,          0.353281501558379, 0.386749503328341, 0.989030190878471,          0.502895249788983, 0.540897442657821, 0.828179073128827,          0.828179073128827, 0.482110245392283, 0.919693677764514,          0.482110245392283, 1.12857946410316, 0.786607284590569,          0.550000337404237, 0.885911587583127, 0.680409922157526,          0.651892034671684, 0.766524211973089, 0.803347187860442,          0.816564732509704), PROX_GOOD_PRISCH = c(3.02211493728223,          2.94429219434277, 2.65585299610189, 3.47561641519302,          2.27859573799937, 2.20280244575696, 3.58178441884724,          3.58178441884724, 2.22494939608982, 2.32631552336422,          2.22494939608982, 2.70116277997296, 3.43096694593549,          2.16237499594262, 3.98479480133756, 2.04281306492033,          3.96984616110429, 2.04167837943161, 2.45379201830723,          1.99475835919692), PROX_MALL = c(0.570379319619026, 0.485349818185599,          0.337875853585261, 1.1888213641646, 0.285366785950761,          0.315823950773482, 1.26743973989934, 1.26743973989934,          0.31885342913617, 0.752077094160308, 0.31885342913617,          1.02774547618649, 1.02435160052226, 0.38523327442887,          1.1081035152608, 0.513452616263142, 1.2652175398851,          0.636573036587929, 1.21674302842157, 0.68208602871978         ), PROX_CHAS = c(0.303272176186244, 0.331046161101227,          0.315432137833306, 0.106822211501606, 0.0737889624358689,          0.0731998871787336, 0.163154212627783, 0.163154212627783,          0.211748617283041, 0.111194343620761, 0.211748617283041,          0.193072984237221, 0.105578702221058, 0.188692357663819,          0.345906079563203, 0.180097972613039, 0.108899254787234,          0.208534953207918, 0.233242749827373, 0.185272865297861         ), PROX_SUPERMARKET = c(0.34627255092781, 0.325943517329761,          0.0907256678718214, 0.139079920157556, 0.177322353300672,          0.266280670019211, 0.118448079318654, 0.118448079318654,          0.199301193911681, 0.370675298005651, 0.199301193911681,          0.198191070641627, 0.0670716613901785, 0.267150206458008,          0.128350069204848, 0.397689630461078, 0.115229795891962,          0.496000676868079, 0.37596142908425, 0.544212695479659         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 2L, 1L, 3L,          1L, 1L, 4L, 1L, 4L, 1L, 0L, 4L, 2L, 4L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 6L, 7L, 5L,          3L, 3L, 6L, 3L, 6L, 4L, 2L, 5L, 4L, 7L, 4L, 4L, 3L, 4L         ), WITHIN_350M_BUS = c(6L, 5L, 8L, 7L, 9L, 10L, 7L, 7L,          9L, 12L, 9L, 9L, 5L, 9L, 3L, 8L, 5L, 7L, 10L, 8L), WITHIN_1KM_PRISCH = c(1L,          0L, 2L, 2L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L,          3L, 2L, 3L, 3L, 3L), DNeighbour = c(0, 121.905170733261,          378.391140016618, 674.428742498191, 750.85229623233,          823.99153752959, 839.948260416886, 842.709352055887,          913.129118997059, 913.177061755798, 915.4189148961, 916.807980282343,          931.748289322591, 984.128391841397, 1064.20244923516,          1113.31304036999, 1167.1284967141, 1224.07772746734,          1246.38981039312, 1271.99234239571)), row.names = c("346",      "622", "288", "849", "897", "472", "382", "907", "181", "279",      "533", "646", "411", "199", "234", "116", "176", "436", "307",      "75"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.981714527678223,      0.83084352302616, 0.516777841549554, 0.424517858295254, 0.336818143451318,      0.318039845360792, 0.314809333977203, 0.234893546657093,      0.234841093829193, 0.232391826727315, 0.230877693007961,      0.214765272472796, 0.161124376159047, 0.0900179161501193,      0.0547256025806795, 0.0249908027912238, 0.00546401097188402,      0.00158807538411871, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11488211821 
R squared (OOB):                  0.3084307 

$Forests[[347]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(550000, 548000, 435000,      429000, 450000, 4e+05, 422800, 360000, 390000, 423800, 415000,      447000, 478000, 390000, 438000, 430000, 376888, 390000, 420000,      412000), floor_area_sqm = c(93, 93, 103, 104, 105, 91, 104,      84, 102, 104, 104, 107, 104, 103, 104, 104, 104, 104, 104,      103), storey_order = c(3L, 4L, 4L, 2L, 2L, 1L, 4L, 2L, 2L,      2L, 2L, 3L, 5L, 1L, 2L, 2L, 3L, 1L, 2L, 4L), remaining_lease_mths = c(1137,      1135, 819, 822, 757, 783, 813, 762, 763, 756, 760, 782, 770,      773, 812, 819, 810, 809, 922, 918), PROX_CBD = c(11.2116042179965,      11.1809634086998, 11.381621166991, 11.1191912667925, 11.4573592114175,      11.4963900230166, 11.1672746170477, 11.4815172953657, 11.6387779682198,      11.7174653186763, 11.6914583773846, 11.7840832214562, 11.927322045494,      11.9179556382635, 11.7215458353159, 11.547248638023, 11.622690560426,      11.7882471009294, 11.8892341343185, 11.9871965659798), PROX_ELDERLYCARE = c(0.369355324070756,      0.333450295290741, 0.382123855460196, 0.213121327483379,      0.52883250894194, 0.672630859926948, 0.14075304944647, 0.182032582488253,      0.792216801753581, 0.74375074589335, 0.736997311630605, 0.481333190444255,      0.77464979732367, 0.757050983431463, 0.240093333498969, 0.246353759583753,      0.175524774720266, 0.114277277444971, 0.110349805405523,      0.210296865683283), PROX_HAWKER = c(1.02311573056961, 1.04207495818587,      0.863892291353285, 1.08329799955244, 0.848364442784946, 0.804785607263954,      1.04840790050398, 0.728271246274353, 0.61454926069889, 0.5637831570093,      0.558671781535233, 0.436117874461739, 0.445987433628815,      0.581821713307667, 0.609281739536534, 0.837769476188058,      0.783966268147895, 0.647051853283446, 0.684056106771311,      0.625285574708341), PROX_MRT = c(0.524888394814585, 0.580267989687754,      0.424871345706255, 0.776456939054752, 0.275269590424193,      0.132306565433056, 0.893429463565323, 0.756359380624344,      0.0844107562606101, 0.162940637784707, 0.140110279979828,      0.81394482428473, 0.493642118682657, 0.401552834915971, 0.989064774064853,      1.16228231940478, 1.15515804744233, 1.00317447086964, 1.00424261648768,      0.923336133969517), PROX_PARK = c(1.15338615463339, 1.13378306757762,      1.31830174708739, 1.13833451608328, 1.3775538710324, 1.41209410927924,      1.25063890429238, 1.50398184725757, 1.51709061898346, 1.5229705853841,      1.50772581466401, 1.20101103678102, 1.17760662255222, 1.26489639581012,      1.28416187507733, 1.4881280763212, 1.41684131410086, 1.24877122811849,      1.19263079577799, 1.09395352284574), PROX_GOOD_PRISCH = c(0.456074275886943,      0.485317217067727, 0.288839241027683, 0.586469336292635,      0.277148461253506, 0.364349890680966, 0.623353133039123,      0.365254403810308, 0.453346371612442, 0.440184840714675,      0.476923220580037, 0.357669915539773, 0.289303568244907,      0.374797987706521, 0.585140695782779, 0.735233663606362,      0.733057242670121, 0.713901761199557, 0.842915880539328,      0.855677549512306), PROX_MALL = c(1.01522535242687, 1.03968747299659,      0.849953313581112, 1.10160019948421, 0.815329638117364, 0.844787863205902,      1.08293003315278, 0.763531318053358, 0.815834004295584, 0.750703947848918,      0.797799046209296, 0.489619370966043, 0.376851773239706,      0.498039402667872, 0.690287469384684, 0.918014501744059,      0.868993594299523, 0.741052769880115, 0.787722851944232,      0.732793638615111), PROX_CHAS = c(0.206252010873132, 0.216965800691496,      0.115324197479935, 0.143881852296294, 0.179820414455961,      0.0697008731150885, 0.151540147087551, 0.0516610437101642,      0.0804697697946077, 4.64133788220832e-08, 0.0474151678735614,      0.0667093090499658, 0.339292519878925, 0.258806234431974,      0.164718468919614, 0.157099147473317, 0.151742844958785,      0.0554870656895364, 0.124859952031804, 0.171681037809818),          PROX_SUPERMARKET = c(0.222574928361305, 0.212835414763751,          0.186698572696543, 0.246182427713253, 0.301981775400679,          0.441950593919319, 0.299482732316256, 0.19171128272723,          0.596048194106483, 0.609798994765399, 0.635527990773791,          0.379080894647373, 0.405378875546255, 0.542179538393358,          0.169255457402684, 0.157098334004615, 0.151741730066283,          0.0453848138423891, 0.114394571204967, 0.172282484091702         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 2L, 0L, 0L,          2L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 2L, 1L, 1L, 3L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 4L, 5L, 4L, 2L,          6L, 5L, 3L, 3L, 3L, 3L, 2L, 2L, 6L, 7L, 7L, 8L, 8L, 5L         ), WITHIN_350M_BUS = c(6L, 7L, 10L, 9L, 7L, 8L, 14L,          14L, 6L, 5L, 6L, 7L, 9L, 7L, 10L, 11L, 8L, 9L, 9L, 6L         ), WITHIN_1KM_PRISCH = c(2L, 2L, 3L, 2L, 3L, 3L, 2L,          3L, 3L, 3L, 3L, 4L, 4L, 3L, 3L, 2L, 2L, 3L, 2L, 2L),          DNeighbour = c(0, 57.3994544700288, 172.029168339467,          256.03427868905, 286.085975010944, 405.331643241192,          405.620498772347, 442.009175383986, 591.30238068973,          637.932629082474, 648.256711348229, 682.83093751043,          725.92213212341, 753.446415671622, 801.331814448584,          827.080942265797, 866.216415849229, 933.736096977589,          1081.30489037765, 1128.93766059163)), row.names = c("347",      "178", "744", "845", "843", "151", "528", "213", "522", "941",      "274", "340", "666", "63", "625", "598", "750", "508", "148",      "689"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994836503403795,      0.954098955107337, 0.899776107089685, 0.875688937470203,      0.758800638359785, 0.758480465871457, 0.716912550387895,      0.526591421231151, 0.463341688446663, 0.449266291403988,      0.402163960116184, 0.344021741930703, 0.307564542920437,      0.246183718861914, 0.214618823598067, 0.169146658099251,      0.0998039722319443, 0.00682357087134569, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1536316161 
R squared (OOB):                  0.3593858 

$Forests[[348]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(530000, 472000, 552000,      688000, 620000, 805000, 580000, 750000, 755000, 820000, 825000,      685000, 840000, 438888, 408000, 660000, 8e+05, 680000, 375000,      355000), floor_area_sqm = c(111, 84, 100, 85, 102, 104, 100,      90, 90, 87, 87, 85, 87, 80, 84, 90, 90, 85, 82, 82), storey_order = c(1L,      2L, 1L, 4L, 3L, 3L, 4L, 11L, 5L, 9L, 5L, 4L, 14L, 4L, 6L,      10L, 7L, 2L, 3L, 2L), remaining_lease_mths = c(767, 799,      910, 964, 908, 919, 1013, 1035, 1038, 1136, 1136, 1038, 1141,      601, 647, 993, 1063, 1066, 645, 656), PROX_CBD = c(4.3501519248406,      4.27761841825855, 4.64904487497998, 3.98134497452694, 4.95292174150019,      4.1456930527125, 4.79843685927635, 4.88070069409732, 4.88070069409732,      4.59114385332588, 4.59114385332588, 4.89531124268982, 4.70219035054856,      3.37234644442932, 5.38657645344473, 5.00856672458725, 2.97610984462207,      2.96405104980333, 3.68559345068932, 3.73116287154914), PROX_ELDERLYCARE = c(0.203630745919553,      0.0937624362906392, 0.374326446996408, 0.168717999980802,      0.0718437191527097, 0.45180890917037, 0.72206466606869, 0.312658206579851,      0.312658206579851, 0.125633226962327, 0.125633226962327,      0.307888742732217, 0.200702517977741, 0.401810150563083,      0.465891927060243, 0.403456137693205, 0.249991250520312,      0.206690358794928, 0.466665237090727, 0.501456868829436),          PROX_HAWKER = c(0.509657348502929, 0.566432501893156,          0.28049665267082, 0.262344394473714, 0.126776661941161,          0.668394095052703, 0.669525197575465, 0.595417483526792,          0.595417483526792, 0.762382071136897, 0.762382071136897,          0.546104933523636, 0.646528219825606, 0.449139985411189,          0.351855498276287, 0.327438715714418, 0.405863058813757,          0.344572110572533, 0.28293755865871, 0.311969910328466         ), PROX_MRT = c(0.533693046359433, 0.40356540460373,          0.763812758173444, 0.310254962870727, 0.804865461788644,          0.413017272318271, 1.13446368103879, 0.314337158810329,          0.314337158810329, 0.586728793826683, 0.586728793826683,          0.275254866694397, 0.491479629856663, 0.537190991659238,          0.675587286197546, 0.699181106494864, 0.337225216160626,          0.377919714857806, 1.17490863944549, 1.10221151459309         ), PROX_PARK = c(0.941534540217125, 1.11098670131371,          1.08394438059851, 0.894232249415992, 0.908868407872405,          1.16828897329218, 0.279857584881724, 1.53366372097489,          1.53366372097489, 1.65596921250538, 1.65596921250538,          1.60860995669454, 1.77379186206272, 0.408351250353425,          1.05249384295472, 0.344858191728297, 0.4671588721782,          0.495024008458079, 0.304435062988112, 0.271761978726623         ), PROX_GOOD_PRISCH = c(3.77462248476967, 3.63213704613537,          3.57098970158234, 3.868083844602, 3.66355651606602, 3.20846684942761,          4.40925832010736, 3.0451226436528, 3.0451226436528, 2.86977258716747,          2.86977258716747, 2.96671225712824, 2.79995758206102,          3.70512913004722, 3.52335384407219, 4.86324650242379,          4.56048774292729, 4.62297298452196, 5.15997579188296,          5.22570836776045), PROX_MALL = c(0.812522711759855, 0.890632544268956,          0.528365937160055, 1.18273225000282, 0.209686974260184,          1.18405339004253, 0.830412122132217, 0.63262312230698,          0.63262312230698, 0.992224857230604, 0.992224857230604,          0.696065710972082, 0.970860317849455, 0.743612757274357,          0.184401966361696, 1.20968740927381, 0.362094853274792,          0.404565296260845, 1.3376464242075, 1.41171259857663),          PROX_CHAS = c(0.237239443458304, 0.116543108560641, 0.251376462502101,          0.145112311632742, 0.176171654931402, 0.401816380076581,          0.120011087306801, 0.278004299073392, 0.278004299073392,          0.156405874770629, 0.156405874770629, 0.22404402777184,          0.0639130956899198, 0.499618186459994, 0.131272369045618,          0.358299181925541, 0.111500209373212, 0.0506108453744785,          0.216565147674259, 0.261237260735983), PROX_SUPERMARKET = c(0.125937465506006,          0.205058734443685, 0.311533400888457, 0.252387257990654,          0.176171398022836, 0.431453687618191, 0.0907294343182455,          0.278004958714438, 0.278004958714438, 0.156405662038775,          0.156405662038775, 0.224044642536509, 0.0639125072278545,          0.499617451823641, 0.182486832055582, 0.395196557309087,          0.111500172768761, 0.0506107476035619, 0.252487697752149,          0.301923436189205), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 2L, 1L, 0L, 5L, 5L, 0L, 0L, 5L, 2L, 0L, 1L,          1L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(5L, 5L,          2L, 3L, 1L, 1L, 2L, 5L, 5L, 3L, 3L, 4L, 4L, 2L, 1L, 1L,          3L, 3L, 3L, 3L), WITHIN_350M_BUS = c(13L, 14L, 12L, 12L,          7L, 7L, 6L, 8L, 8L, 7L, 7L, 9L, 7L, 8L, 8L, 7L, 4L, 7L,          10L, 9L), WITHIN_1KM_PRISCH = c(1L, 1L, 2L, 1L, 2L, 2L,          2L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 3L, 4L, 2L, 2L         ), DNeighbour = c(0, 177.561930065599, 349.371938497513,          364.062557002494, 615.194238942623, 673.718025517402,          772.963426592166, 851.662939970377, 853.89630610585,          909.360802113958, 912.150683946958, 917.188103788423,          990.051388393035, 1049.03713996904, 1067.92178737949,          1232.21839946302, 1462.46329905952, 1494.32924846624,          1509.8387765122, 1561.92372961102)), row.names = c("348",      "709", "140", "375", "216", "320", "610", "39", "982", "768",      "333", "916", "854", "69", "130", "515", "319", "389", "683",      "432"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.97432002149313,      0.902437334137552, 0.89429348106421, 0.713799835707412, 0.662509711002981,      0.570167954020619, 0.493767140383665, 0.491575267281216,      0.436969379436621, 0.434219784201742, 0.429255908393715,      0.357858851553174, 0.301303462014117, 0.283581892478785,      0.142596751310797, 0.015203238596982, 0.00717070382179901,      0.00430091176640698, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12466504413 
R squared (OOB):                  0.5142198 

$Forests[[349]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(485000, 470000, 465000,      450000, 460000, 455000, 452000, 450000, 475000, 403000, 437000,      435000, 455000, 545000, 460000, 450000, 412000, 465000, 420000,      490888), floor_area_sqm = c(95, 93, 95, 95, 92, 92, 95, 94,      92, 90, 94, 94, 93, 93, 92, 90, 90, 90, 93, 93), storey_order = c(6L,      5L, 4L, 3L, 3L, 5L, 3L, 4L, 5L, 3L, 3L, 2L, 4L, 3L, 3L, 2L,      3L, 5L, 1L, 5L), remaining_lease_mths = c(1113, 1125, 1110,      1126, 1097, 1108, 1121, 1123, 1098, 1053, 1120, 1113, 1096,      1134, 1107, 1134, 1034, 1132, 1101, 1141), PROX_CBD = c(14.2445424628862,      14.2374266118925, 14.3101587663686, 14.1366846915735, 14.2694643570804,      14.2694643570804, 14.2856092918761, 14.0429369190019, 14.3437499696049,      14.2313196249897, 14.0691382395842, 14.0214886887106, 14.3469943525049,      14.4432157047801, 14.2518409016409, 14.6796515041342, 13.9701294998534,      14.6796515041342, 14.3298082323417, 14.4799585140632), PROX_ELDERLYCARE = c(1.24643506877499,      1.2819446304668, 1.29024298571696, 1.17371591683522, 1.14423906696184,      1.14423906696184, 1.29536834443332, 1.1015647640471, 1.14464302293932,      1.23431696680562, 1.08280856328681, 1.04333655871926, 1.07571195137499,      1.44181352445962, 0.985840321219444, 1.45102259724198, 0.798789790509628,      1.45102259724198, 0.943112693551276, 1.06862824267944), PROX_HAWKER = c(0.968852406622053,      1.02089221118434, 0.961388959141492, 1.09084844555913, 0.826638245470088,      0.826638245470088, 1.14967766552968, 1.07710025413616, 0.74882220835846,      1.20453145676494, 1.21079813450924, 1.2014358291776, 0.654543769257927,      1.1926703176924, 0.656651462258042, 0.836784965651702, 0.796241674024292,      0.836784965651702, 0.494981643036057, 0.462243392197612),          PROX_MRT = c(0.184117552261459, 0.148741201515391, 0.148967878322013,          0.218319465176875, 0.30438768875815, 0.30438768875815,          0.0748886383392391, 0.324573358240557, 0.217663394995295,          0.14509881944895, 0.281224364060027, 0.325652198483679,          0.131478587775223, 0.142722405117506, 0.189142279194464,          0.391052893274669, 0.262922949537813, 0.391052893274669,          0.122691316210064, 0.082651796212049), PROX_PARK = c(0.481320095248247,          0.440474428767772, 0.444639968372477, 0.474063272255088,          0.599699049952129, 0.599699049952129, 0.297003339879563,          0.58019258504408, 0.636899975343007, 0.30799989212087,          0.468913262301943, 0.524931496780237, 0.731552922713316,          0.164631246691225, 0.785709089572823, 0.566439778554251,          0.929619749314005, 0.566439778554251, 0.760551135167525,          0.682350458092963), PROX_GOOD_PRISCH = c(5.1542412945362,          5.16870486361587, 5.21803047984022, 5.09375212835948,          5.12184985907385, 5.12184985907385, 5.27158847877433,          4.9857651679507, 5.1680916684458, 5.24106386657147, 5.07622831499557,          5.02043421457898, 5.13548460888622, 5.44062149940817,          5.03443000866885, 5.51577006817018, 4.76155598853922,          5.51577006817018, 5.05687720866847, 5.20136656590841),          PROX_MALL = c(0.248497232357685, 0.22058685557285, 0.199960318099191,          0.295276560881227, 0.351657486288216, 0.351657486288216,          0.136646142991964, 0.401409437181884, 0.38589862433106,          0.200492724858517, 0.352184781664103, 0.399157770965225,          0.480981762762808, 0.0864828813466827, 0.535261743386166,          0.38618207223371, 0.698652085628877, 0.38618207223371,          0.644100917109673, 0.64848155368644), PROX_CHAS = c(0.185564313785613,          0.177995101264401, 0.199960275799137, 0.0995517477546361,          0.120456720485379, 0.120456720485379, 0.136646133179357,          0.0207330025336023, 0.0401042229543167, 0.200492722653611,          0.167321001424632, 0.142774662207743, 0.0578525184286013,          0.0864829242311455, 0.121511881264649, 0.367772140885018,          0.224338502615803, 0.367772140885018, 0.116678641770301,          0.149921511006425), PROX_SUPERMARKET = c(0.185564776027004,          0.177995229543633, 0.199173279096103, 0.0995512052866983,          0.244158473149448, 0.244158473149448, 0.146294584623949,          0.0207321820187816, 0.165776473264822, 0.210915135620544,          0.167319845962294, 0.142773459146917, 0.0704323341151683,          0.0916346746399726, 0.121511691834874, 0.0442147517112349,          0.281017798180362, 0.0442147517112349, 0.116679779166118,          0.149922203205158), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 2L,          1L, 2L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(9L, 8L,          8L, 8L, 10L, 10L, 6L, 6L, 8L, 6L, 8L, 6L, 7L, 4L, 10L,          4L, 7L, 4L, 7L, 6L), WITHIN_350M_BUS = c(7L, 6L, 6L,          8L, 9L, 9L, 8L, 9L, 8L, 6L, 9L, 9L, 8L, 5L, 9L, 4L, 13L,          4L, 9L, 6L), WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 7L, 6L,          6L, 7L, 7L, 5L, 6L, 7L, 7L, 4L, 5L, 6L, 4L, 8L, 4L, 5L,          4L), DNeighbour = c(0, 53.6281646039008, 67.0529098427709,          136.302841018427, 144.830000065009, 148.646631814041,          195.30506246762, 204.441466952549, 225.551874235378,          241.109493590278, 262.833367310117, 277.693332024736,          321.724130468871, 324.354048751282, 333.945064458585,          447.140993711145, 448.453943503874, 449.910266110879,          482.91820753597, 525.738857037639)), row.names = c("349",      "537", "142", "76", "434", "470", "32", "754", "70", "283",      "57", "878", "488", "240", "73", "405", "301", "996", "688",      "979"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.979298091915498,      0.967731526225335, 0.870086857220125, 0.853981760933708,      0.846508422576042, 0.74303974800168, 0.720434232572955, 0.665762710807919,      0.623588463558423, 0.562602884873819, 0.519853462707636,      0.391276899139892, 0.383624105736152, 0.355849529687173,      0.0765349126756269, 0.0741991577666568, 0.0716428711517614,      0.024418178459723, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       943976698 
R squared (OOB):                  -0.01399062 

$Forests[[350]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 390000, 340000,      370000, 446000, 420000, 415000, 358888, 365000, 304000, 316000,      360000, 380000, 345000, 335000, 365000, 4e+05, 388000, 370000,      308000), floor_area_sqm = c(99, 104, 104, 104, 107, 90, 100,      91, 107, 104, 104, 103, 102, 92, 90, 95, 97, 103, 98, 84),          storey_order = c(3L, 1L, 1L, 2L, 3L, 2L, 1L, 3L, 1L,          2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 3L, 2L, 1L), remaining_lease_mths = c(929,          763, 772, 763, 783, 925, 944, 763, 766, 776, 777, 777,          938, 742, 731, 735, 734, 935, 767, 795), PROX_CBD = c(13.2222340992065,          13.1145091682395, 13.1145091682395, 13.075732494377,          13.1163383572019, 12.960867808991, 13.1525533734461,          13.6826822978472, 13.578535689825, 13.8730731524118,          13.8730731524118, 13.7231688188033, 12.4172252614445,          13.8901285505698, 13.8901285505698, 13.3652677077184,          13.4040436118709, 12.2384019056968, 12.6407298816561,          13.3304860768802), PROX_ELDERLYCARE = c(0.385934705647939,          0.233566729538939, 0.233566729538939, 0.206309775801723,          0.258125844069092, 0.579007844644764, 0.640770029240432,          0.000158780971194199, 0.535215785060316, 0.192118066579221,          0.192118066579221, 0.681177733621966, 0.466477120293287,          0.540311266279695, 0.540311266279695, 0.876024529291782,          0.954835536666776, 0.481492260541915, 0.198383641986835,          0.85382998667073), PROX_HAWKER = c(1.08380419022874,          1.24018164124527, 1.24018164124527, 1.2806114078583,          1.23349193679857, 1.16344345150942, 0.959649545299011,          0.699744847940348, 0.775756145922257, 0.635045114374877,          0.635045114374877, 0.601426993813282, 1.89270186421095,          0.213123049695643, 0.213123049695643, 0.775887609068758,          0.780321580506598, 2.08679181031876, 1.70233840124208,          1.09459947163448), PROX_MRT = c(0.503688459146237, 0.402767024758649,          0.402767024758649, 0.218393806785847, 0.166998983475289,          0.899387073359532, 0.944408516927639, 0.751023886560838,          0.357978123578611, 0.865482366580506, 0.865482366580506,          0.498221170198522, 0.847625669994717, 0.793013171832836,          0.793013171832836, 0.585785046275015, 0.515309591544804,          1.00400763232319, 0.712674611555213, 0.525688124362732         ), PROX_PARK = c(1.61082819122054, 1.4917670023494, 1.4917670023494,          1.31516124688894, 1.28385310080255, 1.44660566239193,          1.65277848527316, 1.77145949687945, 1.33984402369384,          1.73324375775577, 1.73324375775577, 1.26781451063295,          0.790049777369869, 1.23128896715218, 1.23128896715218,          1.30724345285799, 1.22140134317452, 0.617440020241687,          0.87239282209614, 0.620743454357064), PROX_GOOD_PRISCH = c(3.2388029474634,          3.15473759747012, 3.15473759747012, 3.06740437701091,          3.10133739012884, 2.82458087567675, 2.95137840528657,          3.58938982364218, 3.55013641033528, 3.76914808697313,          3.76914808697313, 3.673854441535, 2.44639044951476, 3.56420611596829,          3.56420611596829, 2.95461231779958, 2.95770979509606,          2.2532718981807, 2.56532775368338, 3.24954726475941),          PROX_MALL = c(0.587950861513872, 0.504156272689578, 0.504156272689578,          0.332903613799786, 0.281310431650798, 0.695129776671669,          0.703422933264244, 0.770100764029299, 0.305514521023982,          0.861712986146148, 0.861712986146148, 0.406890039239853,          0.95273084922996, 1.05377974643614, 1.05377974643614,          0.473263954532778, 0.412160376682232, 1.10261213560447,          0.751522975449472, 0.513372166694422), PROX_CHAS = c(0.151225190585885,          0.11048408202451, 0.11048408202451, 0.122328851042638,          0.155371621529032, 0.341366062526918, 0.1365287941905,          0.110149755252424, 0.282171570268124, 0.0967538959757692,          0.0967538959757692, 0.176857487498571, 0.132703338642494,          0.0812638133573676, 0.0812638133573676, 0.179342279988699,          0.240863562772424, 0.187666753228527, 0.217156748290024,          0.472814153962233), PROX_SUPERMARKET = c(0.459946280432931,          0.362446168440829, 0.362446168440829, 0.193246634773484,          0.141466460051892, 0.668273194253219, 0.688592108834651,          0.11210687568128, 0.281417393052806, 0.094684564379848,          0.094684564379848, 0.270532795629183, 0.453312253927337,          0.082811926566736, 0.082811926566736, 0.487840963146543,          0.422907964790702, 0.388917381074845, 0.217156859083098,          0.510727353781082), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 2L, 1L, 2L, 2L, 0L, 0L, 1L, 1L,          1L, 1L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(5L, 6L,          6L, 4L, 4L, 1L, 2L, 3L, 4L, 3L, 3L, 4L, 3L, 4L, 4L, 6L,          5L, 2L, 4L, 4L), WITHIN_350M_BUS = c(8L, 7L, 7L, 10L,          9L, 2L, 6L, 9L, 10L, 8L, 8L, 8L, 9L, 4L, 4L, 6L, 6L,          10L, 10L, 5L), WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 3L,          3L, 3L, 2L, 2L, 4L, 2L, 2L, 3L, 2L, 4L, 4L, 2L, 2L, 2L,          3L, 3L), DNeighbour = c(0, 152.546705079064, 157.957354525353,          374.155026266706, 390.680252828364, 445.18379105715,          447.154573866601, 473.971879492483, 555.194177291284,          657.697468273586, 662.033486552137, 765.52556929487,          833.695302038572, 882.453110869247, 883.198880033937,          905.752180313799, 1007.17374103675, 1035.90543227202,          1067.32616863633, 1096.35966479705)), row.names = c("350",      "164", "844", "929", "105", "831", "496", "1000", "856",      "36", "230", "960", "296", "214", "90", "238", "757", "399",      "477", "61"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.961655315699876,      0.958916008819068, 0.780633320174978, 0.762163155331189,      0.697422491558275, 0.694980975355419, 0.661138782086453,      0.552883283902623, 0.40976578304976, 0.403693523901891, 0.2626117418289,      0.177880959965512, 0.124006770110271, 0.123236434304029,      0.100796249335221, 0.024360110781239, 0.0115006827274653,      0.00273133441793642, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1295008241 
R squared (OOB):                  0.1415897 

$Forests[[351]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(416000, 350000, 338000,      387008, 370000, 320000, 283000, 340000, 340000, 285000, 355000,      370000, 3e+05, 402000, 304500, 258000, 288000, 315000, 310000,      358000), floor_area_sqm = c(98, 91, 93, 97, 93, 104, 84,      103, 91, 84, 93, 104, 84, 93, 104, 84, 84, 84, 84, 91), storey_order = c(4L,      1L, 3L, 2L, 1L, 3L, 4L, 4L, 2L, 3L, 4L, 4L, 1L, 4L, 3L, 1L,      1L, 2L, 3L, 1L), remaining_lease_mths = c(779, 957, 778,      775, 782, 788, 781, 784, 782, 776, 761, 805, 766, 762, 783,      781, 770, 783, 806, 760), PROX_CBD = c(16.1674221276903,      16.4034806336055, 16.3741208173644, 15.8742411347238, 15.9422949327985,      16.4061281598547, 16.4061281598547, 16.4938482623735, 16.0688727275577,      16.2311391435218, 16.1297617902268, 15.7683454047388, 16.3138748954346,      15.8715793299193, 16.62872619839, 16.1631400386504, 16.2681803933938,      16.7380919986833, 16.5546706157429, 15.6053010835868), PROX_ELDERLYCARE = c(0.762025473923165,      0.839978570407226, 0.617661573186221, 0.784609866943175,      1.09392979000114, 0.45678545326778, 0.45678545326778, 0.54260343924556,      1.20623153653763, 0.252142982647588, 1.29938230642316, 0.584689505447093,      0.259941730365991, 1.28212929908789, 0.618318415391572, 0.194171564025932,      0.20801878428071, 0.827102139700697, 1.28388145020366, 1.18278326755006     ), PROX_HAWKER = c(0.872582424517839, 0.889236545198411,      1.08852003222566, 0.921851461637316, 0.571238530927929, 1.27662029927611,      1.27662029927611, 1.26080574998962, 0.426544691499688, 1.12300848995143,      0.335840869363962, 0.791474322012874, 1.19589315813724, 0.428166805124,      1.328000513126, 1.03995728027003, 1.14155805943316, 1.22509286076097,      0.634516033073404, 0.745618024005524), PROX_MRT = c(0.447065767326062,      0.660139833101166, 0.70945464840636, 0.243577544220952, 0.22642613478059,      0.840195727203247, 0.840195727203247, 0.884131305433386,      0.406145228037129, 0.830985280221221, 0.514969181151661,      0.523772975672589, 0.896077488488813, 0.326170963259121,      1.00682967627403, 0.842728374229233, 0.896888955057001, 0.950017645146174,      0.786543604226707, 0.180817781363956), PROX_PARK = c(0.490935310554108,      0.251028276822116, 0.371358045807383, 0.457440234531046,      0.749126986336644, 0.499042267647801, 0.499042267647801,      0.418424058290637, 0.697314652170583, 0.723677668737743,      0.709135847201637, 0.270342199592644, 0.695881850270676,      0.729541055973412, 0.402413252549947, 0.707513815343702,      0.750067315759091, 0.234693283811741, 0.413578796610442,      0.580682002012541), PROX_GOOD_PRISCH = c(6.62018800412964,      6.84769610957781, 6.84990365493624, 6.33578781760894, 6.35759010380229,      6.91087941258894, 6.91087941258894, 6.98980449668537, 6.46919552361138,      6.76533990958697, 6.52049985370614, 6.2828979894293, 6.84997592861041,      6.26806838260706, 7.12509880547394, 6.70927938580052, 6.81173689796023,      7.2060126627476, 6.95112153433386, 6.02648848177283), PROX_MALL = c(0.402318259451987,      0.630333401213655, 0.523710338103731, 0.159478773824134,      0.275355858531219, 0.408074329267436, 0.408074329267436,      0.506769239398443, 0.45653839484425, 0.175221521556568, 0.568960814514176,      0.400271919676516, 0.242195958154985, 0.405953132327172,      0.615098633053939, 0.0870960802892481, 0.188162247463955,      0.804164390636077, 0.809678350084408, 0.252610517585887),          PROX_CHAS = c(0.277543603442508, 0.142060383584178, 0.0863783451683255,          0.159478805927642, 0.101928728560798, 0.178111672550416,          0.178111672550416, 0.128042490192306, 0.123235071398074,          0.170601730776313, 0.215228497760129, 0.406778788965278,          0.218904529587093, 0.170717118999449, 0.218296317772089,          0.081875317774622, 0.160774225575301, 0.206110482646065,          0.102023856475547, 0.0925674017483885), PROX_SUPERMARKET = c(0.277543419111335,          0.142061131074292, 0.0863776808909183, 0.159478664733051,          0.218983947734938, 0.17811123384324, 0.17811123384324,          0.128042463684685, 0.399183655269817, 0.137275095711229,          0.353026966783941, 0.30290594542381, 0.204979568486045,          0.323117190327721, 0.218296734885766, 0.0873208554119548,          0.189660657064324, 0.283037745664543, 0.57240719914765,          0.188530812320699), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L,          0L, 0L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          4L, 5L, 2L, 4L, 4L, 4L, 3L, 5L, 3L, 5L, 4L, 2L, 4L, 6L,          6L, 3L, 2L, 5L), WITHIN_350M_BUS = c(6L, 7L, 4L, 8L,          8L, 8L, 8L, 6L, 9L, 10L, 8L, 8L, 8L, 8L, 6L, 11L, 11L,          5L, 10L, 10L), WITHIN_1KM_PRISCH = c(5L, 4L, 4L, 6L,          4L, 4L, 4L, 4L, 4L, 5L, 4L, 7L, 5L, 4L, 4L, 5L, 5L, 4L,          5L, 4L), DNeighbour = c(0, 232.952520864832, 272.498891979645,          300.974001717047, 382.680238934114, 429.712985006123,          432.284749090045, 447.667662856111, 448.274677443787,          522.593573362548, 537.085575055848, 544.046450613199,          550.359857995588, 564.387497243476, 564.571750922433,          575.618044443376, 581.050921037372, 581.952892395177,          598.026945134484, 626.435260561242)), row.names = c("351",      "206", "788", "83", "708", "595", "49", "150", "804", "945",      "184", "262", "848", "294", "26", "872", "798", "896", "22",      "143"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.74254869977407,      0.657357105849015, 0.591611595071674, 0.392901888044941,      0.280318694617764, 0.274368683820293, 0.239422314506836,      0.238067987193015, 0.0924486439523308, 0.0701826245984183,      0.0603894318096875, 0.0520457719253394, 0.0354520809811537,      0.0352527470898275, 0.0242306136298715, 0.0195016607566709,      0.0187622076238986, 0.00785736542890037, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1255116015 
R squared (OOB):                  0.3018882 

$Forests[[352]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(455000, 537000, 518000,      495000, 483000, 535000, 5e+05, 553000, 425000, 520000, 390000,      412000, 412000, 455000, 393000, 375000, 428000, 395000, 342000,      360000), floor_area_sqm = c(112, 93, 93, 93, 93, 93, 93,      93, 104, 93, 104, 104, 104, 113, 103, 104, 112, 104, 105,      84), storey_order = c(1L, 4L, 2L, 2L, 2L, 3L, 3L, 4L, 3L,      3L, 2L, 3L, 2L, 5L, 2L, 1L, 1L, 2L, 1L, 3L), remaining_lease_mths = c(896,      1128, 1132, 1131, 1129, 1131, 1131, 1134, 871, 1133, 906,      891, 878, 824, 818, 919, 892, 905, 904, 811), PROX_CBD = c(14.0913802169285,      14.1022978560303, 14.0392008059995, 14.1234549986629, 13.9851487819813,      13.9851487819813, 13.8777465201196, 13.8021184722805, 14.0236082538335,      13.7835124985007, 14.1961571609712, 14.1568072460962, 14.1313829663274,      14.8805910833212, 14.8805910833212, 13.4266027498608, 13.9733994982273,      13.6654936015449, 13.3769343120963, 14.7472020389823), PROX_ELDERLYCARE = c(1.71411655426264,      1.39999761805574, 1.32747908409073, 1.35242241046818, 1.27246652758392,      1.27246652758392, 1.14875617578224, 1.08391670289184, 1.09340394122649,      1.04590518035641, 2.56528175499621, 2.56669577269824, 0.836104821253693,      1.53481387371296, 1.53481387371296, 2.17127601573547, 2.73602573538322,      2.4559089786438, 2.13793612643937, 1.19052284520552), PROX_HAWKER = c(0.659732742059419,      0.488105393549706, 0.543253862226502, 0.458626901673037,      0.59565400543288, 0.59565400543288, 0.709523473368326, 0.792084042786722,      0.594999289424802, 0.817574416707151, 1.37564916931309, 1.398882753411,      0.73352935155883, 0.395563323563994, 0.395563323563994, 1.79623369603986,      1.72752929984142, 1.8007485076056, 1.83400406292357, 0.606039227085063     ), PROX_MRT = c(0.410797330392975, 0.255700458734308, 0.327704984287647,      0.250036690549804, 0.390641440388092, 0.390641440388092,      0.526263367583387, 0.615458599020507, 0.469886084443941,      0.648112836468654, 1.19597144129318, 1.21408476422274, 0.735653331318593,      0.650195396152393, 0.650195396152393, 1.55284801629317, 1.52912572857094,      1.57537750219681, 1.58891799000297, 0.807097621625513), PROX_PARK = c(0.524242894978874,      0.52092144022497, 0.547177414231792, 0.469588575534173, 0.580591669210194,      0.580591669210194, 0.548712671125698, 0.476945111703218,      0.504422356794811, 0.438074957540257, 0.541272645896965,      0.574460502508352, 0.463826523913091, 0.355836862982211,      0.355836862982211, 0.713305409065456, 0.916601452818718,      0.850306194456086, 0.736187117229036, 0.432698189125414),          PROX_GOOD_PRISCH = c(2.83541955823977, 2.69832814229385,          2.61966269686357, 2.69456588548322, 2.55482099432271,          2.55482099432271, 2.41902859908312, 2.33081910479479,          2.51794344218072, 2.3007469286795, 3.39040053008466,          3.36750863472211, 2.52734391167264, 3.33079371618761,          3.33079371618761, 2.87807351257242, 3.4114102230046,          3.15584859653876, 2.85157742620146, 3.13467644284063),          PROX_MALL = c(0.471401908473598, 0.257523814996123, 0.316340524018432,          0.232476208076891, 0.37312896686832, 0.37312896686832,          0.498678106329343, 0.585717052475653, 0.418819234777705,          0.615576551193732, 0.270320025824244, 0.280844166366742,          0.66282583229379, 0.390496575840073, 0.390496575840073,          0.808973697710999, 0.596418817267466, 0.710058429219954,          0.857746498744393, 0.738705771798207), PROX_CHAS = c(0.471401941314913,          0.177701329016163, 0.101753514952091, 0.147334233235439,          0.0604900109870272, 0.0604900109870272, 0.133705064347241,          0.221659659627321, 0.151261605672147, 0.253975316505048,          0.176758267598596, 0.192284580165596, 0.528800676490504,          0.448788349522024, 0.448788349522024, 0.374720545025774,          0.126775582068521, 0.111974276762728, 0.418304503654494,          0.19051372613691), PROX_SUPERMARKET = c(0.471402360745676,          0.177702101069216, 0.101754383553332, 0.147334782275979,          0.0604908810371704, 0.0604908810371704, 0.133704798830233,          0.221659301316653, 0.151260689076964, 0.253974877653299,          0.176759883249677, 0.192285941870899, 0.528799775767506,          0.447693008221967, 0.447693008221967, 0.196965153344936,          0.159712105919183, 0.207177695926551, 0.224617478786604,          0.326764101800336), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 3L, 3L, 0L, 2L, 2L,          1L, 5L, 1L, 1L, 3L), WITHIN_350M_CHILDCARE = c(1L, 4L,          4L, 4L, 3L, 3L, 2L, 2L, 4L, 2L, 4L, 3L, 3L, 3L, 3L, 1L,          2L, 3L, 1L, 2L), WITHIN_350M_BUS = c(12L, 11L, 10L, 13L,          8L, 8L, 8L, 5L, 12L, 6L, 9L, 9L, 6L, 5L, 5L, 7L, 10L,          12L, 5L, 9L), WITHIN_1KM_PRISCH = c(2L, 1L, 1L, 1L, 1L,          1L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,          3L), DNeighbour = c(0, 346.133476650193, 399.639382551088,          401.033775533857, 442.033393809638, 448.101824829952,          565.912614124633, 642.701152287814, 644.537366655328,          682.684941658034, 866.398857366838, 872.664672393504,          1004.66417792443, 1052.90480480282, 1058.97514405543,          1140.14320343272, 1162.84734048838, 1173.89451337459,          1175.31167853865, 1206.38177854819)), row.names = c("352",      "815", "218", "212", "938", "819", "579", "275", "51", "380",      "555", "933", "695", "852", "639", "818", "119", "302", "965",      "136"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.842132299966765,      0.792561938547016, 0.791196631390793, 0.749508970564439,      0.743096146500778, 0.608315807383208, 0.512908528273773,      0.510584881480099, 0.462078136582082, 0.234467046147723,      0.227272164188409, 0.0939169652532835, 0.0567662264585706,      0.0526463493749835, 0.0114059969749918, 0.00502274273065947,      0.0028232021298467, 0.00258534171661594, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2473920474 
R squared (OOB):                  0.411241 

$Forests[[353]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(423000, 418000, 411000,      350000, 625000, 355000, 420000, 390000, 385000, 415000, 410000,      365000, 399000, 395000, 380000, 440000, 485000, 430000, 415000,      425000), floor_area_sqm = c(104, 84, 104, 84, 94, 84, 103,      109, 102, 108, 84, 103, 102, 103, 105, 104, 104, 104, 108,      104), storey_order = c(2L, 3L, 1L, 2L, 3L, 3L, 2L, 1L, 3L,      3L, 4L, 1L, 3L, 4L, 1L, 3L, 3L, 1L, 2L, 4L), remaining_lease_mths = c(827,      821, 806, 806, 1085, 804, 757, 908, 755, 904, 814, 757, 766,      772, 775, 752, 823, 805, 891, 775), PROX_CBD = c(13.4971436153267,      13.3325431063631, 13.1755942624772, 13.3385512116162, 13.3230141016287,      13.01786092695, 13.2614515751509, 13.9032473641583, 13.2614515751509,      13.7944980809676, 12.8927390133383, 13.0970803497533, 13.0078000734933,      13.1724132817366, 12.8173662852819, 13.1913836000948, 12.533007335037,      12.514948085948, 13.8459786715751, 13.5598735525989), PROX_ELDERLYCARE = c(1.36472832701396,      1.22529955141455, 1.08363260419178, 1.09997831443452, 1.40693910044933,      0.807586217367385, 0.99636081833896, 1.01451296282065, 0.99636081833896,      0.91518434198946, 0.702153634905252, 0.830352740740998, 0.748101088186933,      0.906244923447749, 0.548539301056628, 0.779182108791446,      0.635175801858358, 0.754587815834464, 0.429452782693922,      0.555470204987842), PROX_HAWKER = c(1.53740682378418, 1.40113048988486,      1.26154745049637, 1.2578245237404, 1.58753442345041, 0.976719939584195,      1.14030290242306, 1.79397933605035, 1.14030290242306, 1.66782294138278,      0.876276656944215, 0.973651338137405, 0.90031621758677, 1.03184370064912,      0.687183343617196, 1.05769292681279, 0.80610763907972, 0.918952349521139,      1.71981564227335, 1.44869421276883), PROX_MRT = c(0.586728597341744,      0.481797794839233, 0.324849533681113, 0.602718547061467,      0.336472807994142, 0.343251427728879, 0.667490524156887,      0.800124130005956, 0.667490524156887, 0.658832763416297,      0.279401054335897, 0.602819058882962, 0.513893198964272,      0.712767869041386, 0.607087114668938, 0.577154139562059,      0.317839503016409, 0.361279603881815, 0.2084775132707, 0.172867375742438     ), PROX_PARK = c(0.212766960501703, 0.354623255285983, 0.447685878226129,      0.569772965965399, 0.286498275370587, 0.656436399769765,      0.758867978246924, 0.561902145555774, 0.758867978246924,      0.645156432286565, 0.620470631841848, 0.879464356596765,      0.842333894517479, 0.94305137750942, 0.953457314885518, 1.12092772213378,      0.503650356541676, 0.436213246481288, 1.1446906726086, 1.16233583500127     ), PROX_GOOD_PRISCH = c(2.41235725048041, 2.29474127216967,      2.16883728054707, 2.07907555576542, 2.51508960065264, 1.85318585541752,      1.91909050044553, 2.54268815221988, 1.91909050044553, 2.39271928635374,      1.774803188623, 1.76550469910092, 1.72660166123773, 1.76071721252525,      1.5016146113424, 1.6842887316892, 1.74800143577954, 1.8549021101536,      2.27101821651052, 1.97663004084467), PROX_MALL = c(0.707673546664446,      0.542371475290289, 0.386525633611572, 0.668924040978838,      0.614219522084071, 0.400117032043626, 0.72813233212774, 1.19892197022629,      0.72813233212774, 1.14990641994387, 0.322264379768498, 0.655283448157635,      0.5620231960968, 0.808064657998832, 0.635314033644823, 0.813382909306435,      0.260189306400009, 0.294446956047624, 1.35153556565047, 1.05810160080284     ), PROX_CHAS = c(0.13417187150752, 0.059226360432522, 0.194419509978617,      0.191227179226131, 0.389026612692193, 0.191102980152323,      0.255705601713763, 0.278906060515125, 0.255705601713763,      0.17469359838053, 0.241407331054591, 0.10733838099953, 1.4078617678234e-08,      0.253073540027742, 0.149554006756045, 0.19044114280624, 0.227429082883153,      0.29446060409402, 0.345234103044859, 0.180657994610612),          PROX_SUPERMARKET = c(0.707669264145537, 0.542367678587035,          0.386520309138909, 0.444314653432489, 0.614233853755243,          0.230446816430876, 0.336474046543398, 0.357092891009527,          0.336474046543398, 0.357404112790227, 0.234452518543083,          0.176189281490626, 0.0851968725918189, 0.263318229535236,          0.14719471752053, 0.190441743522314, 0.260187243864149,          0.294460269353442, 0.426625283183798, 0.180658044884504         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 1L, 1L, 3L,          2L, 0L, 2L, 1L, 2L, 1L, 2L, 1L, 3L, 3L, 1L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(5L, 6L, 5L, 3L, 5L, 2L,          2L, 2L, 2L, 3L, 4L, 1L, 2L, 3L, 2L, 4L, 3L, 2L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 10L, 12L, 5L, 10L, 5L, 6L,          7L, 6L, 7L, 4L, 4L, 6L, 6L, 5L, 8L, 7L, 8L, 12L, 11L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 5L, 1L, 4L, 4L, 3L,          4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 3L, 2L, 5L, 6L), DNeighbour = c(0,          170.906683287148, 330.489192488075, 387.370136450801,          394.141923525794, 568.171962571599, 579.311830172542,          581.049010356421, 581.474080826874, 614.714769161397,          662.010619976566, 689.313994444682, 700.294855168541,          761.97660515488, 912.461070954229, 956.075264232137,          966.955360887642, 994.541194976361, 1080.11841814741,          1088.69079628116)), row.names = c("353", "565", "131",      "618", "559", "789", "753", "113", "473", "542", "493", "597",      "103", "225", "523", "229", "758", "12", "970", "564"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.951319571457419, 0.824187738465316, 0.762822740531322,      0.755043089089814, 0.529453426374044, 0.513874739591066,      0.511439330191921, 0.51084318250106, 0.464013558346828, 0.397201511181033,      0.358932941147717, 0.343672572951171, 0.260240294816136,      0.0885319886792653, 0.0523429064744398, 0.0445771750014433,      0.0273838203611749, 0.000246052132501653, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3704689132 
R squared (OOB):                  -0.1040526 

$Forests[[354]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(348000, 362000, 326000,      370000, 336000, 308000, 325000, 320000, 340000, 340000, 338000,      355000, 315000, 293000, 380000, 335000, 380000, 360000, 303888,      416000), floor_area_sqm = c(95, 94, 101, 95, 90, 90, 90,      91, 102, 90, 94, 94, 87, 86, 93, 90, 93, 93, 90, 93), storey_order = c(1L,      4L, 1L, 5L, 2L, 2L, 4L, 1L, 2L, 4L, 2L, 4L, 5L, 1L, 2L, 5L,      2L, 2L, 5L, 6L), remaining_lease_mths = c(968, 976, 942,      977, 966, 948, 973, 980, 968, 1011, 1076, 1070, 1004, 1006,      1132, 998, 1136, 1135, 1008, 1132), PROX_CBD = c(18.0323194354466,      18.3273029006797, 17.6460086713989, 18.2449080671561, 18.263890012402,      17.5548574672099, 18.5353901232527, 18.4122801485573, 18.6342583478867,      18.5954829873069, 18.893500205596, 18.9417612550563, 18.9558501171738,      18.9558501171738, 18.1279148711176, 18.976831626196, 18.1376577985599,      18.1376577985599, 19.0279685600245, 18.2305685201872), PROX_ELDERLYCARE = c(2.88259030935981,      2.7120525382807, 2.69583292953839, 2.54228790651909, 2.93603771613334,      2.64072586785555, 3.18651864771223, 3.05606256580079, 2.72992435028626,      3.21245115339435, 3.10102691254995, 3.09832013994742, 3.04148171914245,      3.04148171914245, 2.51087611030153, 3.28231449363414, 2.49441526227585,      2.49441526227585, 3.26154359027314, 2.5602844754638), PROX_HAWKER = c(0.459055170630849,      0.729165861663657, 0.543702723258422, 0.859760115655931,      0.135415800319106, 0.624754154933827, 0.491879726860981,      0.284310921582288, 0.947673142820091, 0.468862715548992,      0.926259022488312, 0.981837341088666, 1.03425383708264, 1.03425383708264,      0.487567663506197, 0.923592674397851, 0.528296501129656,      0.528296501129656, 0.990561993667382, 0.555435817196439),          PROX_MRT = c(0.228324090957444, 0.470919202147399, 0.514213843772978,          0.597257652192269, 0.269488316579814, 0.605396305517498,          0.375479822529604, 0.34633408104891, 0.717283111076423,          0.485913485771313, 0.777214903782309, 0.831940647091921,          0.87145727172961, 0.87145727172961, 0.74928998522808,          0.822784932057268, 0.789676869843372, 0.789676869843372,          0.880588410111357, 0.810957189319413), PROX_PARK = c(1.25712692932115,          1.51959638840156, 0.873328686748902, 1.66089445329223,          0.826451671225411, 0.801838254358626, 1.15334089580929,          0.872887750975024, 1.68545701841371, 0.966363588730214,          1.53153013283021, 1.58031197441792, 1.64892029001525,          1.64892029001525, 0.317511189836545, 1.4431849310919,          0.276326305891841, 0.276326305891841, 1.5140651316136,          0.269300347674678), PROX_GOOD_PRISCH = c(8.37645219680457,          8.6741083827629, 7.99076792195858, 8.59525181849715,          8.61262144573917, 7.89964805631792, 8.87993213136606,          8.76068312560123, 8.98296462693421, 8.94334048589707,          9.23793284137011, 9.2863930262578, 9.30119351841798,          9.30119351841798, 8.49670627721454, 9.32093903042593,          8.50873818737911, 8.50873818737911, 9.37202430611723,          8.60245346442475), PROX_MALL = c(0.12060760008054, 0.437943127987326,          0.441435937338541, 0.537890109309282, 0.374925429890344,          0.456293365362214, 0.460655941356388, 0.458641270318743,          0.719594778264249, 0.594166870248601, 0.833273819621717,          0.886414086630636, 0.918650450187965, 0.918650450187965,          0.819155488013484, 0.897736377807805, 0.814982856398022,          0.814982856398022, 0.951179576311185, 0.89702383385846         ), PROX_CHAS = c(0.120607657412939, 0.319053536773146,          0.441435968696221, 0.274147949012332, 0.0541347282504724,          0.456293399812874, 0.165734202429707, 0.182706372800723,          0.294409401108374, 0.186588167457245, 0.143741090403558,          0.0880613138842689, 0.067384164825537, 0.067384164825537,          0.0462043949149095, 0.237819060284531, 0.0547102897319272,          0.0547102897319272, 0.184556275618948, 0.080524556228062         ), PROX_SUPERMARKET = c(0.119017844673248, 0.198027823348086,          0.446325988440648, 0.161035318973668, 0.0541355525390397,          0.425112192123464, 0.167679568764744, 0.182706945219403,          0.247755307750907, 0.195869762300225, 0.218188374485768,          0.175726554209016, 0.102761308178796, 0.102761308178796,          0.467157902200199, 0.322795161753339, 0.504768063926141,          0.504768063926141, 0.3125742651816, 0.512175097136782         ), WITHIN_350M_KINDERGARTEN = c(2L, 0L, 1L, 0L, 0L, 1L,          2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 0L, 3L, 0L, 0L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 6L, 2L, 4L, 5L, 2L,          7L, 7L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 2L, 2L, 2L, 3L         ), WITHIN_350M_BUS = c(14L, 12L, 11L, 9L, 11L, 8L, 12L,          12L, 5L, 10L, 8L, 8L, 8L, 8L, 10L, 9L, 10L, 10L, 6L,          7L), WITHIN_1KM_PRISCH = c(4L, 5L, 3L, 5L, 4L, 2L, 5L,          5L, 4L, 5L, 4L, 4L, 4L, 4L, 2L, 4L, 2L, 2L, 4L, 2L),          DNeighbour = c(0, 386.801747755098, 430.392746606611,          454.276588712184, 499.040875366444, 513.278564089624,          532.313341993057, 575.079620316273, 689.471948218093,          692.929445586137, 863.90164184078, 917.103113122861,          931.927143657905, 935.08819695557, 939.297140160107,          951.872822370333, 979.157473668127, 984.97367631698,          1000.14027228849, 1012.09161977544)), row.names = c("354",      "873", "456", "5", "548", "514", "838", "722", "7", "901",      "745", "932", "52", "951", "461", "915", "285", "378", "570",      "401"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.729210133845678,      0.671026017854019, 0.637657075022743, 0.572857255549094,      0.551755682424067, 0.523268056213426, 0.458516511151592,      0.287209453557265, 0.282229893824469, 0.0736581656984261,      0.0320047868866746, 0.0231465094047196, 0.0214265803223037,      0.0192311464101031, 0.0133306732063378, 0.00409887507740277,      0.00279523751203384, 0.000551201623177059, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       942648849 
R squared (OOB):                  -0.05680634 

$Forests[[355]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(460000, 440000, 430000,      475000, 422000, 426888, 390000, 455000, 460000, 458888, 450000,      420000, 468000, 485000, 510000, 382000, 452000, 425000, 403500,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 90, 92,      92, 92, 92, 92, 92, 95, 92, 86, 92, 92, 90, 90), storey_order = c(5L,      2L, 1L, 2L, 2L, 1L, 5L, 4L, 3L, 4L, 3L, 2L, 4L, 5L, 5L, 2L,      2L, 4L, 5L, 4L), remaining_lease_mths = c(1136, 1136, 1134,      1126, 1132, 1141, 978, 1136, 1137, 1130, 1136, 1139, 1124,      1141, 1133, 989, 1133, 988, 965, 973), PROX_CBD = c(12.5778468618744,      12.6445046545469, 12.5852639843962, 12.6532888174316, 12.6523002899419,      12.5841594105866, 12.4059518996545, 12.5530445309639, 12.6444338023734,      12.6444338023734, 12.6444338023734, 12.4951121122816, 12.5372560863306,      12.8190940082697, 12.8180148044036, 12.3082954752684, 12.8941535537835,      12.1902934701837, 12.0682850666201, 11.9491294576901), PROX_ELDERLYCARE = c(0.25879478544564,      0.316798451576888, 0.3637938018331, 0.373604611296459, 0.17445131765005,      0.419823195233641, 0.404564014080405, 4.52036057904239e-07,      0.0933099122535032, 0.0933099122535032, 0.0933099122535032,      0.0780281999502717, 0.066903342124331, 0.268492105828742,      0.265081039187363, 0.583230122785789, 0.346816364720296,      0.362754738306624, 0.36227142211874, 0.351349913726565),          PROX_HAWKER = c(0.361759384229333, 0.385855619963418,          0.45815519033126, 0.440383933038266, 0.228019105088385,          0.512822421809829, 0.551023632791116, 0.183834631869038,          0.0943584031018698, 0.0943584031018698, 0.0943584031018698,          0.227760265989261, 0.184899994018696, 0.146347761938812,          0.116173376637396, 0.732610931237137, 0.172433027954251,          0.536726116414185, 0.732401821736703, 0.693645859237657         ), PROX_MRT = c(0.325317058740364, 0.290856617513635,          0.305105021876954, 0.24828698655044, 0.189124878414716,          0.285300897266269, 0.467412150427879, 0.225183269009929,          0.135663244459145, 0.135663244459145, 0.135663244459145,          0.288636635543175, 0.250680884626282, 0.0524349257152741,          0.0414043955932523, 0.348338435446781, 0.133852264483784,          0.364194860258715, 0.353072027979069, 0.207404211118571         ), PROX_PARK = c(0.898636927133822, 0.927332929158558,          0.998305920751222, 0.981635622560504, 0.76865606278053,          1.05356492524152, 1.06942514246801, 0.665189387379371,          0.61385987529272, 0.61385987529272, 0.61385987529272,          0.64692671777276, 0.614568616662392, 0.639036828502152,          0.594833919624026, 1.248380402738, 0.541994755536806,          0.883674706708426, 1.2554933111164, 1.42337349535551),          PROX_GOOD_PRISCH = c(2.98751376551561, 3.06407026512831,          3.02473222579279, 3.08870420529617, 3.02962689364369,          3.04090040576321, 2.85954585658161, 2.90013878468328,          2.98554640042679, 2.98554640042679, 2.98554640042679,          2.83249303987555, 2.87119716545371, 3.16783392704602,          3.15789060893291, 2.82059786507503, 3.22227453062783,          2.54749739008747, 2.66094910730305, 2.48771655129493),          PROX_MALL = c(0.550769417999913, 0.525247230278188, 0.450387082903272,          0.475487624694748, 0.680457081346124, 0.39575302739997,          0.423524868376446, 0.801147315442336, 0.835997866672575,          0.835997866672575, 0.835997866672575, 0.848059510883206,          0.863947607104433, 0.842111664425906, 0.881741038155881,          0.312386349772529, 0.965068597681967, 0.835543217968543,          0.424043071559413, 0.591401580344059), PROX_CHAS = c(0.236995708134403,          0.312339613016365, 0.324614821605945, 0.362882313204726,          0.162820120107843, 0.369996201265779, 0.187639553192951,          0.0780281620295796, 0.102096070463208, 0.102096070463208,          0.102096070463208, 3.19858778746232e-08, 0.0439945201117045,          0.0812086980787344, 0.0772642002388838, 0.200650927390068,          0.115846127710365, 0.167384851183216, 0.0850792531740411,          0.136369833447508), PROX_SUPERMARKET = c(0.299832635957983,          0.312339147167174, 0.389269910824952, 0.36465940083402,          0.162819600148508, 0.385003628727568, 0.375814638453933,          0.189775839444753, 0.102095775430648, 0.102095775430648,          0.102095775430648, 0.255060837787685, 0.218453608018692,          0.0812089624400091, 0.0772646744727167, 0.200651971059786,          0.115845823699909, 0.552359009160243, 0.0850782630125017,          0.234851160706955), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L,          0L, 1L, 2L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L,          4L, 5L, 6L, 4L, 4L, 7L, 7L, 7L, 7L, 5L, 6L, 7L, 6L, 4L,          5L, 3L, 5L, 6L), WITHIN_350M_BUS = c(8L, 11L, 11L, 11L,          11L, 10L, 10L, 11L, 10L, 10L, 10L, 10L, 10L, 9L, 9L,          8L, 6L, 12L, 12L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L,          4L, 4L, 4L, 5L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 6L,          3L, 3L, 7L, 7L), DNeighbour = c(0, 85.1670739176325,          105.947954042577, 133.638581112607, 136.974256554955,          160.243086908845, 209.414229050261, 255.160228981081,          280.08691340104, 281.311211663856, 287.226230658052,          314.48538060854, 321.110927194173, 329.39459918932, 360.973235700499,          379.65774896544, 450.352748461116, 455.795780189744,          663.317195109719, 681.196130735183)), row.names = c("355",      "144", "180", "759", "311", "868", "138", "764", "92", "807",      "166", "791", "672", "44", "115", "231", "371", "783", "860",      "175"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.968981453409725,      0.952204619567108, 0.924506344740324, 0.92076925752819, 0.892388508724245,      0.819915976022626, 0.739070786235111, 0.690461008235064,      0.688001625215256, 0.676031624794151, 0.619155134619309,      0.604955513278981, 0.587026060910775, 0.517240682288995,      0.475234157238704, 0.316878523291365, 0.305024858469343,      0.0026836436891932, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       634334906 
R squared (OOB):                  0.4661112 

$Forests[[356]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(403000, 430000, 460000,      4e+05, 510000, 465000, 460000, 485000, 440000, 490000, 5e+05,      545000, 535000, 520000, 532000, 520000, 455000, 432000, 515000,      489000), floor_area_sqm = c(92, 92, 92, 92, 92, 93, 93, 93,      93, 95, 93, 93, 93, 93, 96, 93, 93, 93, 92, 92), storey_order = c(1L,      1L, 2L, 1L, 3L, 5L, 3L, 2L, 2L, 2L, 6L, 5L, 4L, 5L, 4L, 4L,      5L, 5L, 2L, 2L), remaining_lease_mths = c(1138, 1128, 1137,      1131, 1136, 1097, 1138, 1147, 1142, 1111, 1137, 1127, 1118,      1147, 1111, 1118, 1138, 1129, 1138, 1137), PROX_CBD = c(13.9348601041022,      13.983033341901, 13.9481332653994, 13.9748767742628, 14.0250110126613,      13.8110145095205, 13.8880322509317, 13.9293604468603, 13.9713915856932,      13.7780295697528, 13.7068457080251, 13.8964286142315, 13.8964286142315,      13.7003463440691, 13.8842234613226, 13.7912064237251, 13.5153222954464,      13.4495242740615, 14.4453014943547, 14.4453014943547), PROX_ELDERLYCARE = c(0.122633260073778,      0.0819455196406728, 0.108372417523696, 0.0869602171534455,      0.0392522324995346, 0.2424730747692, 0.250782943854859, 0.234065981952779,      0.226595382415433, 0.24280876806526, 0.409751638237597, 0.28821019895416,      0.28821019895416, 0.434917902994305, 0.284905700992106, 0.194902312085005,      0.128038783583345, 0.226392675254826, 0.431976777822193,      0.431976777822193), PROX_HAWKER = c(0.848294615942255, 0.818439961244233,      0.783686601130967, 0.759405218095962, 0.732915378457501,      0.93957565430704, 0.989318285046145, 0.970053791291438, 0.954180271331751,      0.855348356505915, 1.09574216637781, 0.700607063348248, 0.700607063348248,      1.07570104527527, 0.667389882084889, 0.761066408094757, 1.06471945671836,      1.13086059974118, 0.391270554493315, 0.391270554493315),          PROX_MRT = c(0.066674836544346, 0.0961191462833423, 0.146013494832411,          0.16215489673441, 0.179377644983316, 0.110074032088272,          0.0905698875540676, 0.101292979723356, 0.128817306959056,          0.290902656750774, 0.23189639897339, 0.214342865325431,          0.214342865325431, 0.256932190523524, 0.172676244118343,          0.263976344610204, 0.531733722241289, 0.537207200764636,          0.309279527401184, 0.309279527401184), PROX_PARK = c(1.01289159319472,          0.973290645087517, 0.964943529987853, 0.93793434477989,          0.898948825756494, 1.12286028608686, 1.13098813526459,          1.10248671215858, 1.07610116952693, 1.08412864631293,          1.30108171005294, 0.945155408432775, 0.945155408432775,          1.30953091682666, 0.946790994443363, 1.03946212768551,          1.12627074536918, 1.14705623529365, 0.463863624631307,          0.463863624631307), PROX_GOOD_PRISCH = c(4.3780728039611,          4.42376284483209, 4.41058426346667, 4.4381077472328,          4.48326906164864, 4.2580170038876, 4.29841605508598,          4.33684280477295, 4.37541592083903, 4.27934963146811,          4.11427377683663, 4.42474408393319, 4.42474408393319,          4.10033714204368, 4.46427355245829, 4.37243865161908,          4.05859518452173, 3.97306691053722, 4.92565705183443,          4.92565705183443), PROX_MALL = c(0.500682206465503, 0.475935346664486,          0.431747484707969, 0.408666125180857, 0.387952579177684,          0.585854127158584, 0.648384322611893, 0.634323955575517,          0.625072347077181, 0.507308338763366, 0.786897805640679,          0.36232957329041, 0.36232957329041, 0.816725098938654,          0.384398044205003, 0.47180896375681, 0.741140095950697,          0.817008429043632, 0.259948531881284, 0.259948531881284         ), PROX_CHAS = c(3.70448785353559e-08, 0.0483941894268844,          0.0812590805558053, 0.0955424375353944, 0.116095717847762,          0.123846030022364, 0.0495611607390083, 0.0456516508281062,          0.0752462089475253, 0.246000912873009, 0.0683167852462459,          0.190952462752685, 0.190952462752685, 0.0738696133860389,          0.0936868185767241, 3.14247486029477e-08, 0.0484693686848179,          0.142936854782623, 0.259948576333881, 0.259948576333881         ), PROX_SUPERMARKET = c(0.112910168339451, 0.123899374628808,          0.194128300134642, 0.205979542456043, 0.21237786594893,          0.157551778944521, 0.0495614942866338, 0.04565204632056,          0.0752464841458058, 0.271122867675942, 0.0683172333971998,          0.190953240917096, 0.190953240917096, 0.0738703098972174,          0.093687407280864, 8.52808058992138e-07, 0.321659607097496,          0.417643104955167, 0.257218468152336, 0.257218468152336         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 1L,          0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 3L, 4L, 5L, 3L,          3L, 4L, 5L, 4L, 5L, 4L, 4L, 5L, 3L, 4L, 4L, 3L, 4L, 4L         ), WITHIN_350M_BUS = c(11L, 11L, 7L, 6L, 9L, 12L, 11L,          11L, 11L, 9L, 14L, 9L, 9L, 13L, 7L, 8L, 6L, 5L, 6L, 6L         ), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 6L, 3L, 5L, 5L, 3L, 5L, 5L, 5L, 4L, 4L, 4L),          DNeighbour = c(0, 43.8006905517436, 77.7056842909784,          88.018060699543, 115.236683338694, 124.119442540055,          154.409240945226, 156.838955586931, 173.137895202772,          257.196430393944, 290.289889413068, 313.303906754369,          315.56382832366, 322.172660908231, 489.674781091807,          499.148529253634, 515.948230822082, 535.850398609354,          548.438587817946, 553.222712395149)), row.names = c("356",      "710", "34", "690", "8", "645", "662", "21", "361", "282",      "863", "442", "760", "616", "670", "420", "183", "988", "855",      "50"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.987502343386461,      0.960931188689351, 0.950014751530068, 0.915104250506066,      0.901861508495746, 0.850265394711963, 0.845714601716469,      0.813702411979224, 0.614440616731954, 0.525137161484202,      0.461415725898384, 0.455128748596245, 0.43673764361619, 0.0468906308452888,      0.0345714720144628, 0.0169557698123821, 0.00382146067539793,      0.000296552193440375, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1217772102 
R squared (OOB):                  0.3618638 

$Forests[[357]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 430000, 4e+05,      450000, 390000, 371000, 385000, 465000, 455000, 365000, 390000,      365000, 345000, 330000, 338000, 310000, 330000, 375000, 4e+05,      368000), floor_area_sqm = c(90, 91, 91, 93, 90, 91, 90, 106,      106, 91, 91, 91, 92, 105, 103, 104, 104, 100, 100, 100),          storey_order = c(3L, 4L, 2L, 4L, 2L, 2L, 3L, 2L, 4L,          4L, 2L, 5L, 2L, 1L, 4L, 3L, 3L, 5L, 5L, 2L), remaining_lease_mths = c(953,          962, 956, 950, 947, 957, 1060, 933, 933, 1061, 956, 965,          974, 896, 836, 838, 847, 935, 923, 937), PROX_CBD = c(17.5759295796121,          17.4594236905894, 17.5146993337396, 17.4336546583772,          17.5579663674298, 17.630719557776, 17.6242343596777,          17.1401277939721, 17.1634204962367, 17.5974072281911,          17.980006840849, 17.6174166659189, 17.6174166659189,          17.9794873864528, 18.1853470145009, 18.2872060948971,          18.238428451998, 18.2155576397088, 18.2155576397088,          18.1853912561079), PROX_ELDERLYCARE = c(1.07156662032258,          1.1429422216578, 1.21552371031002, 0.825709875044437,          1.26304449634962, 1.35614304544574, 0.892136309268664,          0.586863575497558, 0.565792923614884, 0.819477307137174,          1.69038013517483, 1.58663462608392, 1.58663462608392,          1.20397588034421, 1.46334015610348, 1.57361264937598,          1.49823830734066, 1.82774218733134, 1.82774218733134,          1.83831888483507), PROX_HAWKER = c(0.622851592932912,          0.704564458032275, 0.65109908849923, 0.841716009165303,          0.610726758846462, 0.550798352023498, 0.816419857336687,          0.685044657792881, 0.666841975849823, 0.922900854400271,          0.32947027962251, 0.699652587196505, 0.699652587196505,          0.736691454978467, 0.490406092071559, 0.464971900021808,          0.548143788898404, 0.218122417644225, 0.218122417644225,          0.267411626133086), PROX_MRT = c(0.449846795062068, 0.304209523777939,          0.367017506823782, 0.463093751675267, 0.415424130147435,          0.481509556817778, 0.729175757939742, 0.418422993771755,          0.463116738810145, 0.830609903675807, 0.131298797620671,          0.430901962912929, 0.430901962912929, 1.05284557964442,          0.888080533877704, 0.870907467758581, 0.950317003394984,          0.24629140143503, 0.24629140143503, 0.186589372260449         ), PROX_PARK = c(0.650211227804106, 0.515475588097358,          0.57589083993138, 0.609424449579261, 0.622915525490857,          0.706852169587072, 0.830497330619545, 0.454841043819919,          0.505224516024672, 0.751240825934154, 0.597192139646456,          0.815337468455046, 0.815337468455046, 0.555889077383573,          0.741201414908801, 0.791043930625847, 0.690805332809177,          0.449638685926872, 0.449638685926872, 0.431621232177097         ), PROX_GOOD_PRISCH = c(6.90999703096039, 6.79149624878531,          6.84682201594428, 6.77374769998522, 6.89020500321914,          6.96345421686322, 6.97273607492461, 6.48254224033906,          6.50789265243056, 6.95474206477502, 7.31481473864251,          6.95710824587607, 6.95710824587607, 7.33264137396139,          7.52724739525134, 7.62743554697163, 7.58243576478886,          7.54917724573578, 7.54917724573578, 7.51998659904145),          PROX_MALL = c(0.456006423255308, 0.366883459562171, 0.437698049352173,          0.404491618549369, 0.488271313828636, 0.581015113036356,          0.671391539314818, 0.306862579253759, 0.353588302636786,          0.757845794253982, 0.38257003715367, 0.753687860987251,          0.753687860987251, 0.387548928263219, 0.362005799982455,          0.369641594977131, 0.291730094824992, 0.249434383428027,          0.249434383428027, 0.304347432784639), PROX_CHAS = c(0.401255348981324,          0.293637386768921, 0.354009255575758, 0.260153188296123,          0.40162373925963, 0.481496129777697, 0.0497500971788425,          0.133156315003352, 0.171584438209325, 0.175468897673469,          0.131281394661179, 0.430898255483663, 0.430898255483663,          0.324283073315245, 0.11010335009361, 0.000458346083760352,          0.0811018368302058, 0.246283235408848, 0.246283235408848,          0.186582621643492), PROX_SUPERMARKET = c(0.338457664260807,          0.217741105325511, 0.288534867112482, 0.355873580059747,          0.339170507836652, 0.432325009404537, 0.442456788826315,          0.27639551573194, 0.320581809168482, 0.336744227428862,          0.37748716441855, 0.467885028141574, 0.467885028141574,          0.337417678694655, 0.36017462873485, 0.367596841627256,          0.289827711639516, 0.233030240431279, 0.233030240431279,          0.289364184128333), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 2L, 1L, 2L, 2L, 0L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 7L,          6L, 4L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(5L, 6L,          6L, 4L, 6L, 6L, 2L, 3L, 4L, 3L, 5L, 4L, 4L, 3L, 4L, 4L,          3L, 7L, 7L, 7L), WITHIN_350M_BUS = c(8L, 8L, 10L, 12L,          9L, 8L, 12L, 7L, 8L, 6L, 14L, 6L, 6L, 9L, 11L, 9L, 10L,          15L, 15L, 16L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 6L,          4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 5L, 5L, 5L, 4L, 6L,          6L, 4L), DNeighbour = c(0, 221.369112672151, 247.676023789198,          257.498549450217, 273.661029625701, 341.628813499558,          409.950611002445, 505.304412272322, 516.981114698664,          549.734346611865, 624.317528507033, 626.592745631674,          627.278040003115, 640.453575385841, 671.914124649459,          746.977799622463, 749.073591084237, 759.779003043301,          761.960464047457, 761.987917751574)), row.names = c("357",      "937", "93", "535", "545", "547", "300", "530", "991", "720",      "910", "220", "14", "870", "857", "414", "839", "571", "643",      "31"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.838324985743984,      0.799860938189744, 0.784647556404753, 0.758672027196226,      0.638388606152728, 0.504887599134292, 0.31387533974535, 0.291262118908952,      0.229933077162444, 0.108045478945738, 0.104847056694498,      0.103890857646788, 0.0861737902092366, 0.049481576692114,      0.0015217195698439, 0.00112957606340625, 3.35167447817396e-05,      5.19218396041488e-09, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1563016996 
R squared (OOB):                  0.1532421 

$Forests[[358]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(333000, 373888, 375000,      335000, 340000, 333000, 360000, 358000, 337000, 333000, 395000,      320000, 4e+05, 368888, 380000, 324000, 375000, 394000, 378000,      364000), floor_area_sqm = c(90, 93, 93, 100, 105, 103, 105,      101, 105, 100, 92, 100, 92, 92, 92, 90, 92, 92, 92, 100),          storey_order = c(2L, 5L, 5L, 4L, 1L, 1L, 3L, 3L, 1L,          4L, 3L, 4L, 4L, 4L, 4L, 4L, 2L, 5L, 3L, 2L), remaining_lease_mths = c(1009,          990, 993, 930, 956, 953, 960, 960, 947, 928, 1132, 930,          1145, 1143, 1135, 929, 1135, 1142, 1133, 921), PROX_CBD = c(17.8072819651564,          17.8363687874637, 17.8363687874637, 17.9186379864086,          17.6472423100513, 17.7412802518209, 17.6410789876396,          17.5852868111176, 17.5852868111176, 18.2095446148373,          18.4477570786683, 18.242108360018, 18.4659506582063,          18.528449956106, 18.528449956106, 18.3448727328387, 18.5586196198757,          18.5586196198757, 18.5541585191533, 17.9386403893839),          PROX_ELDERLYCARE = c(1.52664538751384, 1.40920769604983,          1.40920769604983, 1.13507400842797, 1.0260991137238,          1.00357172816211, 0.969292416022308, 0.979721953613503,          0.979721953613503, 1.17430183890643, 1.45029388933935,          1.08331104464233, 1.40960952841152, 1.49671415705568,          1.49671415705568, 1.12000720290482, 1.41981179339616,          1.41981179339616, 1.3934670212363, 0.714833653499633),          PROX_HAWKER = c(0.809141875883089, 0.692541487012902,          0.692541487012902, 0.435091735724103, 0.322354465675231,          0.286367973105455, 0.270187519380927, 0.300047945510982,          0.300047945510982, 0.579651089601917, 0.879695992543251,          0.548257960059823, 0.861254406292383, 0.947708217710491,          0.947708217710491, 0.636376603494217, 0.915906485722884,          0.915906485722884, 0.899006211509986, 0.201936965562497         ), PROX_MRT = c(0.753928873695942, 0.634260663268818,          0.634260663268818, 0.364011265623101, 0.296963624455722,          0.240079810641839, 0.253083991654003, 0.294966346549802,          0.294966346549802, 0.501132314022455, 0.801027338961469,          0.47401652613315, 0.783375472664302, 0.869531291623609,          0.869531291623609, 0.565211037998289, 0.839968978875504,          0.839968978875504, 0.823747240068891, 0.168914117564514         ), PROX_PARK = c(1.93736074272598, 2.04440878541867,          2.04440878541867, 2.31505119222808, 2.2163258228061,          2.28949331488756, 2.26013213847351, 2.22462050149276,          2.22462050149276, 2.25371860749481, 2.38376543636855,          2.12857307310705, 2.321508063195, 2.37596217173297, 2.37596217173297,          2.08056453235766, 2.25577949184332, 2.25577949184332,          2.22642888666982, 1.99379565561889), PROX_GOOD_PRISCH = c(8.21423979230025,          8.25468587074647, 8.25468587074647, 8.3676789538936,          8.10862356805264, 8.20478390995202, 8.10977708422392,          8.05369522760851, 8.05369522760851, 8.6635222339794,          8.8804818877731, 8.71021480286832, 8.90481615501782,          8.9605147002348, 8.9605147002348, 8.81498363377987, 9.00274768401056,          9.00274768401056, 9.00155567304774, 8.4444135457925),          PROX_MALL = c(0.745769461616378, 0.630636123898788, 0.630636123898788,          0.384238747959315, 0.255877276101632, 0.222110908162432,          0.204458422444813, 0.237472256939882, 0.237472256939882,          0.468966497593582, 0.601716003339109, 0.347669457974494,          0.542775018358786, 0.613385110580272, 0.613385110580272,          0.284195187673565, 0.5054917244252, 0.5054917244252,          0.475387173022169, 0.238372860218233), PROX_CHAS = c(0.195830090979757,          0.221589023831152, 0.221589023831152, 0.360842629752134,          0.212266026856788, 0.222110881748482, 0.201289943337815,          0.145295883687343, 0.145295883687343, 0.3998394205418,          0.260006933015678, 0.274735402884708, 0.20305264112251,          0.220932244035638, 0.220932244035638, 0.24769320941352,          0.101888085354885, 0.101888085354885, 0.0809306171135589,          0.076984763134016), PROX_SUPERMARKET = c(0.265666518411173,          0.22158921197453, 0.22158921197453, 0.360842909613722,          0.255876154174577, 0.222110358133712, 0.204457160029983,          0.237470779768967, 0.237470779768967, 0.402574253870019,          0.260005577706646, 0.347668959247477, 0.203051245143547,          0.220931072377982, 0.220931072377982, 0.284194910851331,          0.101886801165025, 0.101886801165025, 0.080929224247632,          0.171190500184261), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L,          1L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(2L, 3L,          3L, 1L, 6L, 5L, 5L, 5L, 5L, 2L, 3L, 3L, 3L, 3L, 3L, 5L,          3L, 3L, 3L, 6L), WITHIN_350M_BUS = c(4L, 6L, 6L, 11L,          13L, 16L, 15L, 15L, 15L, 8L, 8L, 7L, 6L, 6L, 6L, 8L,          5L, 5L, 8L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L,          4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 4L, 4L, 4L,          4L, 5L), DNeighbour = c(0, 118.046106856357, 127.546426111214,          425.626120163069, 523.134866992223, 525.05895152945,          575.956559235115, 587.746020678993, 595.520344489043,          618.037739275192, 703.761733654915, 736.44920672368,          744.008856212997, 777.623340542774, 779.13699173379,          816.897738282871, 854.921542398868, 855.404990481667,          859.872815987851, 862.346154661313)), row.names = c("358",      "391", "118", "590", "554", "242", "615", "224", "800", "243",      "504", "608", "777", "875", "102", "512", "35", "581", "563",      "638"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.962873686650711,      0.956726026161922, 0.572127384587913, 0.399406592463834,      0.395985953537957, 0.306823448798654, 0.28672541061086, 0.273630599267112,      0.236536971562733, 0.111541857241249, 0.0732638333508721,      0.0653431160623632, 0.0349096713835312, 0.0337356154716584,      0.0105326715358276, 0.000293965952903413, 0.000257074265018828,      3.28108430617318e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       330412570 
R squared (OOB):                  0.4793159 

$Forests[[359]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 640000, 408000,      380000, 435000, 640000, 439000, 450000, 440000, 720000, 705000,      516000, 4e+05, 410000, 430000, 670000, 588000, 350000, 548000,      648000), floor_area_sqm = c(99, 91, 91, 91, 98, 90, 97, 92,      92, 91, 91, 98, 97, 97, 102, 94, 95, 92, 95, 116), storey_order = c(3L,      3L, 3L, 3L, 1L, 1L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 6L,      3L, 1L, 2L, 4L), remaining_lease_mths = c(716, 992, 674,      691, 692, 1095, 669, 679, 677, 1079, 1097, 698, 681, 665,      869, 1104, 1025, 714, 981, 871), PROX_CBD = c(9.97053790241166,      9.30017281297198, 8.96374942103709, 9.09613481662016, 8.85689554561162,      9.29204667907952, 8.73211086874077, 8.7589377611275, 8.7589377611275,      9.2692311101123, 9.2692311101123, 8.70928269501252, 9.29171741525155,      8.66747718420982, 8.77938926255451, 8.58683984966127, 8.51090417959469,      9.56457497404925, 8.37940280964872, 8.27332873959955), PROX_ELDERLYCARE = c(0.115679603991599,      0.677643973897152, 0.267188539522683, 0.297153722290783,      0.272187629818594, 0.771441336950035, 0.292319821872094,      0.169235371196244, 0.169235371196244, 0.751834464907999,      0.751834464907999, 0.119444653145476, 0.121888026553089,      0.0441159965049124, 0.374310234303432, 0.203840329735754,      0.120425912751251, 1.08567795373645, 0.335901694998922, 0.354571010374291     ), PROX_HAWKER = c(0.499128715987426, 0.445284816601654,      0.393731145214296, 0.276770006011078, 0.446318851105742,      0.172288624542473, 0.436547444862961, 0.330091511745513,      0.330091511745513, 0.13065395668809, 0.13065395668809, 0.281172749103646,      0.631142210027013, 0.357845486047337, 0.0530841043788875,      0.433030813326955, 0.166697492306482, 0.44425153291851, 0.203869560106314,      0.610975272844239), PROX_MRT = c(0.460213635694043, 0.258716275079725,      0.71987240697712, 1.2652859093471, 0.372678744867538, 0.459210746913958,      0.600073719023998, 0.338391484905848, 0.338391484905848,      0.513894886157587, 0.513894886157587, 0.379410256905797,      1.65516610461175, 0.874328108605637, 1.18818107396501, 0.751078096441513,      0.608243230971526, 1.06652131186481, 0.62312262100292, 1.0936063211659     ), PROX_PARK = c(0.425125261748846, 0.166211588513849, 0.60552725382935,      0.429900368262469, 0.479885299937475, 0.354651430366215,      0.617507126900098, 0.469340752260783, 0.469340752260783,      0.421166514654472, 0.421166514654472, 0.513364518506117,      0.199649911236163, 0.691303172853456, 0.700959888788064,      0.52118662053352, 0.368529270986479, 0.829152657918636, 0.394842599629624,      0.477465658778908), PROX_GOOD_PRISCH = c(1.1615230473897,      1.82000438656186, 1.13785719900195, 0.657187468393487, 1.47413984574199,      2.10961489740732, 1.31940815963163, 1.40615721612308, 1.40615721612308,      2.13343245969583, 2.13343245969583, 1.35677240305411, 0.365175047542414,      1.23754792076915, 0.963274696928036, 1.16640042723588, 1.13331232297991,      1.87441197950121, 1.14854892992093, 0.856939381531897), PROX_MALL = c(0.687811479893446,      0.302826744416793, 0.480317195978648, 0.916512124719577,      0.241772845363545, 0.591682371404957, 0.469553394647833,      0.264395031718586, 0.264395031718586, 0.655923636590071,      0.655923636590071, 0.313890580083005, 1.26787190539693, 0.740457696387364,      0.946404029132472, 0.632538285087724, 0.540250505232014,      1.18499732413142, 0.651389947232486, 0.991200103712322),          PROX_CHAS = c(0.354473795917701, 0.258750733988333, 0.143131544605207,          0.209184408253321, 0.157458356405151, 0.116738661463474,          0.0664211666443358, 0.0806835690144568, 0.0806835690144568,          0.0970531700661786, 0.0970531700661786, 0.112175615725657,          0.143872847977416, 0.34300149800099, 0.064920565519497,          0.237191200694799, 0.0869956868442428, 0.358325278319411,          0.11938167830482, 0.413431749899638), PROX_SUPERMARKET = c(0.61645520286935,          0.378001630838772, 0.181164390242962, 0.235755012868274,          0.224853982916395, 0.110756393825321, 0.350370254212894,          0.24726445439454, 0.24726445439454, 0.098601858754749,          0.098601858754749, 0.221335227738319, 0.371928496535936,          0.158725757407685, 0.239175324970861, 0.35437102597818,          0.0869967242830128, 0.418420374852224, 0.282093113359979,          0.502190497784501), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 0L, 1L,          1L, 2L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(1L, 3L,          4L, 3L, 7L, 5L, 6L, 8L, 8L, 4L, 4L, 7L, 3L, 2L, 2L, 5L,          6L, 2L, 4L, 4L), WITHIN_350M_BUS = c(10L, 9L, 6L, 7L,          7L, 7L, 7L, 6L, 6L, 10L, 10L, 6L, 9L, 5L, 4L, 4L, 5L,          4L, 6L, 8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L,          2L, 3L, 3L, 3L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 3L, 1L, 3L,          2L), DNeighbour = c(0, 987.890243330834, 1018.24177479797,          1145.0786307847, 1149.36622071641, 1225.85031066125,          1245.03595768555, 1266.55834256928, 1270.75720415237,          1302.79136606289, 1310.80104005482, 1319.77530811559,          1319.79684926538, 1330.19004918105, 1352.51886483466,          1386.63597958404, 1478.7378964162, 1657.97712231373,          1707.2083711225, 1719.73722771977)), row.names = c("359",      "973", "692", "715", "397", "191", "842", "194", "386", "306",      "642", "446", "122", "331", "606", "149", "94", "197", "998",      "795"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.448921109897468,      0.421756297753367, 0.309859538561798, 0.306167386530045,      0.241963880484365, 0.226451584952705, 0.209390292112945,      0.206106487630847, 0.181573222243347, 0.175591003936466,      0.168965016563719, 0.168949211491997, 0.161380376250447,      0.145517504319766, 0.122408453957282, 0.0679311957279167,      0.00497523414320416, 0.000210760357535046, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8918677122 
R squared (OOB):                  0.3876628 

$Forests[[360]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(455000, 485000, 369000,      375000, 385000, 390000, 376000, 335000, 398000, 373000, 389000,      368000, 395000, 388000, 418888, 360000, 320000, 325000, 408000,      448000), floor_area_sqm = c(93, 93, 94, 90, 101, 101, 101,      93, 100, 103, 103, 100, 101, 100, 100, 104, 92, 84, 100,      96), storey_order = c(3L, 7L, 5L, 5L, 3L, 4L, 2L, 5L, 2L,      1L, 2L, 2L, 4L, 4L, 2L, 2L, 2L, 5L, 5L, 9L), remaining_lease_mths = c(1139,      1137, 942, 946, 952, 932, 948, 921, 924, 870, 863, 923, 936,      922, 932, 804, 1009, 812, 916, 1110), PROX_CBD = c(10.5974154418399,      10.5587309121129, 10.5038890156487, 10.5038890156487, 10.5394819073022,      10.247812625002, 10.1515839247586, 10.6321305837804, 10.2027088676681,      9.95029435977204, 9.90721965789512, 10.5911430304609, 10.5347600839054,      10.3133134299625, 9.64941173000682, 10.0879656312395, 11.3397363359505,      9.87023127008802, 9.71665400465424, 11.5810624146691), PROX_ELDERLYCARE = c(1.80859644276987,      1.80931542236799, 1.64894906385774, 1.64894906385774, 1.55101586165687,      1.89270432318243, 1.93850967877536, 1.32435226249417, 1.63738856945076,      2.09611483432966, 2.17440400131014, 1.2745451415541, 1.31633228018286,      1.4124150938613, 1.9510043332774, 1.31022889057949, 1.39271535621019,      1.35138892750767, 1.86385802759073, 1.05973522725621), PROX_HAWKER = c(0.832920293493618,      0.792644050178693, 0.53455823354733, 0.53455823354733, 0.463304434183495,      0.561647681218514, 0.608980172673109, 0.382898898882956,      0.264427923442986, 0.876506442172381, 1.08766938871094, 0.314632743063994,      0.259744380023822, 0.0623262564011618, 0.940071074791988,      0.196699811405185, 0.570701345451429, 0.410023469086153,      1.14805608329678, 0.226379932511381), PROX_MRT = c(1.28588132880872,      1.33157685526365, 1.36742764633517, 1.36742764633517, 1.31136747445593,      1.63637339364314, 1.73271025710532, 1.20430491709432, 1.392302848886,      1.8917195123599, 1.9078610258369, 1.14211364891441, 1.15842683571226,      1.09471398918577, 1.69853939108909, 1.09046737609619, 0.534489810386183,      1.23646610314009, 2.10187463598542, 0.233016580221366), PROX_PARK = c(0.248039629274522,      0.251058120460841, 0.486479545769779, 0.486479545769779,      0.594979546415276, 0.443665461164749, 0.464183104254495,      0.852996238213812, 0.728383914708498, 0.516721166595223,      0.551504280527303, 0.997953552798557, 1.00657829367171, 0.826294351272671,      0.624691995850973, 0.604882226694947, 0.290298216204727,      0.375073916060521, 0.706984478917025, 0.520771390450273),          PROX_GOOD_PRISCH = c(0.856849085387122, 0.819366619188368,          0.819356328881161, 0.819356328881161, 0.89296386953394,          0.550324531917386, 0.447003801568155, 1.09467860924251,          0.689163418131917, 0.213708578130609, 0.299143542468678,          1.15731102426836, 1.12709017589061, 0.993301788551023,          0.107363170703005, 0.87937610392538, 1.70706505143727,          0.706117631385061, 0.494123442243702, 1.87254500118751         ), PROX_MALL = c(0.562952549426665, 0.516143411126369,          0.3366209001709, 0.3366209001709, 0.357726596913911,          0.190941194230935, 0.217974225134877, 0.512358501951296,          0.12742430838485, 0.493813340134231, 0.701652802220213,          0.441630162720786, 0.464767570965945, 0.450275200033962,          0.625847194134012, 0.441232897113797, 0.459056401007768,          0.445899708163642, 1.00609620967541, 0.185878129611589         ), PROX_CHAS = c(0.235419924819913, 0.236682264577822,          0.232134688144963, 0.232134688144963, 0.263233285458842,          0.190941257524933, 0.217974279370684, 0.394471723674887,          0.127424254451578, 0.36937911638564, 0.242250716663617,          0.327465416824022, 0.272565000598528, 0.071192987667569,          0.134178633248207, 0.177420148260447, 0.111613351644546,          0.0764125853219005, 0.0862664572880411, 0.185878170229198         ), PROX_SUPERMARKET = c(0.23542039277371, 0.236682533577294,          0.232133828519976, 0.232133828519976, 0.263232243208913,          0.19229406714866, 0.216455869736569, 0.447614574279886,          0.129189539659537, 0.359694409353041, 0.157554225694085,          0.441631117888638, 0.464768447350912, 0.330151298165832,          0.344381560072065, 0.320748009942088, 0.440050810323431,          0.158655939798418, 0.0862669641327853, 0.177355035948325         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 3L,          1L, 2L, 0L, 2L, 2L, 1L, 1L, 1L, 3L, 0L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 7L, 5L, 5L, 6L, 10L,          9L, 3L, 6L, 7L, 6L, 1L, 1L, 4L, 3L, 5L, 1L, 5L, 8L, 4L         ), WITHIN_350M_BUS = c(10L, 10L, 11L, 11L, 15L, 10L,          10L, 12L, 13L, 12L, 10L, 13L, 15L, 15L, 8L, 11L, 9L,          8L, 8L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 4L, 4L,          4L, 4L, 4L, 4L, 3L, 2L, 4L, 4L, 4L, 3L, 5L, 2L, 5L, 1L,          3L), DNeighbour = c(0, 49.9892694063487, 297.962131221108,          302.978075005583, 396.208632219617, 406.112178929262,          476.320991953274, 637.61483346298, 647.283335554349,          658.329330222889, 750.225471405806, 797.290326507609,          813.227457374304, 871.062916290612, 951.774697784485,          966.163843448966, 980.3773261102, 1013.59643099252, 1040.09505968416,          1048.93978407673)), row.names = c("360", "614", "734",      "942", "769", "667", "366", "975", "771", "780", "629", "718",      "577", "513", "459", "292", "254", "755", "879", "182"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99546278877462, 0.845130427472496, 0.840100901173341, 0.735006792045962,      0.722676301116554, 0.630111152889469, 0.397528891832522,      0.383418632679828, 0.367357965480785, 0.238589839425636,      0.178304139651004, 0.159147464536183, 0.0963474878550872,      0.0312168072239268, 0.0229826862555896, 0.0159908062486786,      0.00438951395522673, 0.000282005608948432, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1210236456 
R squared (OOB):                  0.2924778 

$Forests[[361]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(440000, 485000, 460000,      430000, 403000, 465000, 510000, 4e+05, 460000, 5e+05, 520000,      490000, 545000, 535000, 515000, 489000, 455000, 432000, 532000,      520000), floor_area_sqm = c(93, 93, 93, 92, 92, 93, 92, 92,      92, 93, 93, 95, 93, 93, 92, 92, 93, 93, 96, 93), storey_order = c(2L,      2L, 3L, 1L, 1L, 5L, 3L, 1L, 2L, 6L, 5L, 2L, 5L, 4L, 2L, 2L,      5L, 5L, 4L, 4L), remaining_lease_mths = c(1142, 1147, 1138,      1128, 1138, 1097, 1136, 1131, 1137, 1137, 1147, 1111, 1127,      1118, 1138, 1137, 1138, 1129, 1111, 1118), PROX_CBD = c(13.9713915856932,      13.9293604468603, 13.8880322509317, 13.983033341901, 13.9348601041022,      13.8110145095205, 14.0250110126613, 13.9748767742628, 13.9481332653994,      13.7068457080251, 13.7003463440691, 13.7780295697528, 13.8964286142315,      13.8964286142315, 14.4453014943547, 14.4453014943547, 13.5153222954464,      13.4495242740615, 13.8842234613226, 13.7912064237251), PROX_ELDERLYCARE = c(0.226595382415433,      0.234065981952779, 0.250782943854859, 0.0819455196406728,      0.122633260073778, 0.2424730747692, 0.0392522324995346, 0.0869602171534455,      0.108372417523696, 0.409751638237597, 0.434917902994305,      0.24280876806526, 0.28821019895416, 0.28821019895416, 0.431976777822193,      0.431976777822193, 0.128038783583345, 0.226392675254826,      0.284905700992106, 0.194902312085005), PROX_HAWKER = c(0.954180271331751,      0.970053791291438, 0.989318285046145, 0.818439961244233,      0.848294615942255, 0.93957565430704, 0.732915378457501, 0.759405218095962,      0.783686601130967, 1.09574216637781, 1.07570104527527, 0.855348356505915,      0.700607063348248, 0.700607063348248, 0.391270554493315,      0.391270554493315, 1.06471945671836, 1.13086059974118, 0.667389882084889,      0.761066408094757), PROX_MRT = c(0.128817306959056, 0.101292979723356,      0.0905698875540676, 0.0961191462833423, 0.066674836544346,      0.110074032088272, 0.179377644983316, 0.16215489673441, 0.146013494832411,      0.23189639897339, 0.256932190523524, 0.290902656750774, 0.214342865325431,      0.214342865325431, 0.309279527401184, 0.309279527401184,      0.531733722241289, 0.537207200764636, 0.172676244118343,      0.263976344610204), PROX_PARK = c(1.07610116952693, 1.10248671215858,      1.13098813526459, 0.973290645087517, 1.01289159319472, 1.12286028608686,      0.898948825756494, 0.93793434477989, 0.964943529987853, 1.30108171005294,      1.30953091682666, 1.08412864631293, 0.945155408432775, 0.945155408432775,      0.463863624631307, 0.463863624631307, 1.12627074536918, 1.14705623529365,      0.946790994443363, 1.03946212768551), PROX_GOOD_PRISCH = c(4.37541592083903,      4.33684280477295, 4.29841605508598, 4.42376284483209, 4.3780728039611,      4.2580170038876, 4.48326906164864, 4.4381077472328, 4.41058426346667,      4.11427377683663, 4.10033714204368, 4.27934963146811, 4.42474408393319,      4.42474408393319, 4.92565705183443, 4.92565705183443, 4.05859518452173,      3.97306691053722, 4.46427355245829, 4.37243865161908), PROX_MALL = c(0.625072347077181,      0.634323955575517, 0.648384322611893, 0.475935346664486,      0.500682206465503, 0.585854127158584, 0.387952579177684,      0.408666125180857, 0.431747484707969, 0.786897805640679,      0.816725098938654, 0.507308338763366, 0.36232957329041, 0.36232957329041,      0.259948531881284, 0.259948531881284, 0.741140095950697,      0.817008429043632, 0.384398044205003, 0.47180896375681),          PROX_CHAS = c(0.0752462089475253, 0.0456516508281062,          0.0495611607390083, 0.0483941894268844, 3.70448785353559e-08,          0.123846030022364, 0.116095717847762, 0.0955424375353944,          0.0812590805558053, 0.0683167852462459, 0.0738696133860389,          0.246000912873009, 0.190952462752685, 0.190952462752685,          0.259948576333881, 0.259948576333881, 0.0484693686848179,          0.142936854782623, 0.0936868185767241, 3.14247486029477e-08         ), PROX_SUPERMARKET = c(0.0752464841458058, 0.04565204632056,          0.0495614942866338, 0.123899374628808, 0.112910168339451,          0.157551778944521, 0.21237786594893, 0.205979542456043,          0.194128300134642, 0.0683172333971998, 0.0738703098972174,          0.271122867675942, 0.190953240917096, 0.190953240917096,          0.257218468152336, 0.257218468152336, 0.321659607097496,          0.417643104955167, 0.093687407280864, 8.52808058992138e-07         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 2L, 2L, 1L,          2L, 2L, 2L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 3L, 4L, 5L, 3L,          5L, 4L, 3L, 5L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 4L         ), WITHIN_350M_BUS = c(11L, 11L, 11L, 11L, 11L, 12L,          9L, 6L, 7L, 14L, 13L, 9L, 9L, 9L, 6L, 6L, 6L, 5L, 7L,          8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 3L, 3L, 6L, 5L, 5L, 4L, 4L, 5L, 4L, 5L, 5L),          DNeighbour = c(0, 47.7660327725277, 86.5641860311934,          159.196334826933, 173.137895202772, 233.923788660048,          244.761001228232, 247.511618576132, 248.420869022581,          266.853182439869, 278.920543771778, 418.739114285852,          486.057589582022, 488.419401278103, 603.563258408143,          609.717637560115, 654.460772920507, 656.115715418702,          662.246699934133, 671.633738348328)), row.names = c("361",      "21", "662", "710", "356", "645", "8", "690", "34", "863",      "616", "282", "442", "760", "855", "50", "183", "988", "670",      "420"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.989909710560795,      0.96705274327268, 0.890791458412492, 0.871508667796042, 0.772102415205525,      0.75202451199181, 0.746827370332658, 0.74510061848347, 0.709195086090135,      0.684817445648854, 0.373679470575833, 0.226829669116174,      0.221995751176032, 0.0370290160243586, 0.0309324030235714,      0.00254864607480224, 0.00208629167553738, 0.000770479310456994,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1132091498 
R squared (OOB):                  0.4067621 

$Forests[[362]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(417000, 435000, 575000,      440000, 410000, 585000, 565000, 540000, 380000, 412000, 658000,      615000, 435000, 420000, 390000, 438000, 447000, 376888, 430000,      428888), floor_area_sqm = c(99, 99, 93, 100, 100, 93, 93,      93, 104, 103, 84, 84, 100, 104, 104, 104, 107, 104, 104,      84), storey_order = c(3L, 2L, 5L, 3L, 3L, 4L, 6L, 4L, 1L,      4L, 3L, 2L, 4L, 2L, 1L, 2L, 3L, 3L, 2L, 3L), remaining_lease_mths = c(914,      928, 1133, 911, 915, 1142, 1127, 1142, 924, 918, 1120, 1122,      924, 922, 809, 812, 782, 810, 819, 774), PROX_CBD = c(12.2815153207229,      12.2106818490232, 12.4342034244884, 12.2087069526051, 12.2087069526051,      12.454441113408, 12.4937468159193, 12.5378737745647, 12.0301392517655,      11.9871965659798, 12.4891302242583, 12.3801819754074, 12.114386347938,      11.8892341343185, 11.7882471009294, 11.7215458353159, 11.7840832214562,      11.622690560426, 11.547248638023, 12.8776183162857), PROX_ELDERLYCARE = c(0.513657423159811,      0.442541563379791, 0.678867196986192, 0.434858408662556,      0.434858408662556, 0.717258387107597, 0.714783075399861,      0.76025522927712, 0.255083942589415, 0.210296865683283, 0.707031754326944,      0.738453704244922, 0.421163091926404, 0.110349805405523,      0.114277277444971, 0.240093333498969, 0.481333190444255,      0.175524774720266, 0.246353759583753, 0.211786543917104),          PROX_HAWKER = c(0.52278816815954, 0.524204307723605,          0.504612881494125, 0.692592935098248, 0.692592935098248,          0.459376407452819, 0.680821394190482, 0.672948721825079,          0.598391326300702, 0.625285574708341, 0.384467206049481,          0.261296216065877, 0.885134801830427, 0.684056106771311,          0.647051853283446, 0.609281739536534, 0.436117874461739,          0.783966268147895, 0.837769476188058, 0.677647820815747         ), PROX_MRT = c(0.703998835661039, 0.743103019894999,          0.586933783104383, 0.89623888155871, 0.89623888155871,          0.518913352820399, 0.743366527772832, 0.707305973375369,          0.885297742933312, 0.923336133969517, 0.38468199977318,          0.367154517888221, 1.10882075300419, 1.00424261648768,          1.00317447086964, 0.989064774064853, 0.81394482428473,          1.15515804744233, 1.16228231940478, 0.301948361527339         ), PROX_PARK = c(0.796788171077343, 0.863487882808023,          0.628391467794767, 0.954913184146477, 0.954913184146477,          0.580711209690395, 0.683130710636032, 0.628331945846246,          1.04875150887626, 1.09395352284574, 0.50651752093578,          0.605799570777928, 1.14970360230785, 1.19263079577799,          1.24877122811849, 1.28416187507733, 1.20101103678102,          1.41684131410086, 1.4881280763212, 0.246982674114576),          PROX_GOOD_PRISCH = c(0.952579960345566, 0.91368762909787,          1.01367306567257, 1.04944877580977, 1.04944877580977,          0.990054087408291, 1.16886515239787, 1.17951788917503,          0.860616187528585, 0.855677549512306, 0.94986022590219,          0.823417580851307, 1.17061030478036, 0.842915880539328,          0.713901761199557, 0.585140695782779, 0.357669915539773,          0.733057242670121, 0.735233663606362, 1.22334421357001         ), PROX_MALL = c(0.630705874818675, 0.634332011832188,          0.600548053404267, 0.802829369116586, 0.802829369116586,          0.549832225559512, 0.778202426893423, 0.766094086501437,          0.707201836140707, 0.732793638615111, 0.458049841664737,          0.344173235497563, 0.995792127022496, 0.787722851944232,          0.741052769880115, 0.690287469384684, 0.489619370966043,          0.868993594299523, 0.918014501744059, 0.503182159926002         ), PROX_CHAS = c(0.0753088652692227, 0.140964983635816,          0.134041173915956, 0.0852358826892552, 0.0852358826892552,          0.134313038880304, 0.147744885974614, 0.187116592266412,          0.202915262499126, 0.171681037809818, 3.00974727266337e-08,          0.126495411341712, 0.138740180982893, 0.124859952031804,          0.0554870656895364, 0.164718468919614, 0.0667093090499658,          0.151742844958785, 0.157099147473317, 0.128785172156574         ), PROX_SUPERMARKET = c(0.448534184110051, 0.377835654599335,          0.543693418915242, 0.414959148864982, 0.414959148864982,          0.499432454100223, 0.667447252804164, 0.707597649659388,          0.20670525505664, 0.172282484091702, 0.425107542879533,          0.30203349112312, 0.459680111992834, 0.114394571204967,          0.0453848138423891, 0.169255457402684, 0.379080894647373,          0.151741730066283, 0.157098334004615, 0.17067511852319         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 2L, 2L, 2L,          0L, 0L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 4L, 5L, 5L, 4L,          4L, 5L, 5L, 5L, 2L, 3L, 1L, 8L, 8L, 6L, 3L, 7L, 7L, 1L         ), WITHIN_350M_BUS = c(12L, 11L, 12L, 11L, 11L, 11L,          11L, 11L, 7L, 6L, 10L, 8L, 8L, 9L, 9L, 10L, 7L, 8L, 11L,          12L), WITHIN_1KM_PRISCH = c(2L, 2L, 1L, 1L, 1L, 3L, 1L,          1L, 2L, 2L, 5L, 4L, 1L, 2L, 3L, 3L, 4L, 2L, 2L, 4L),          DNeighbour = c(0, 76.9485156395243, 169.264277410364,          194.465648125884, 194.988662347237, 212.569968975974,          232.184172111085, 256.128260482205, 258.549942686536,          311.573184132688, 331.000246622462, 340.628117475683,          402.776236232915, 411.563990135597, 494.146799663748,          577.031155587659, 634.680275839746, 661.348312201767,          735.64878138217, 834.952659220971)), row.names = c("362",      "42", "310", "410", "680", "641", "24", "343", "727", "689",      "505", "315", "707", "148", "508", "625", "340", "750", "598",      "892"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.983085523571594,      0.919495544456879, 0.894451959432196, 0.893899388895537,      0.874569703395356, 0.8513220623881, 0.820654153605327, 0.817418138500159,      0.740889879752685, 0.710384810409027, 0.69483532173105, 0.588743048330169,      0.573095793104401, 0.422164450590014, 0.272889692634297,      0.178242997009457, 0.138839070704293, 0.0500514876503584,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1310182222 
R squared (OOB):                  0.8198473 

$Forests[[363]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(525000, 530000, 495000,      437000, 415000, 398000, 420000, 490888, 460000, 455000, 550000,      589000, 475000, 412000, 532000, 498000, 455000, 460000, 510000,      489000), floor_area_sqm = c(97, 95, 93, 93, 93, 93, 93, 93,      92, 93, 95, 96, 92, 90, 96, 93, 92, 92, 97, 92), storey_order = c(3L,      4L, 5L, 2L, 2L, 1L, 1L, 5L, 3L, 4L, 4L, 6L, 5L, 3L, 4L, 2L,      5L, 3L, 2L, 2L), remaining_lease_mths = c(1098, 1106, 1080,      1076, 1071, 1077, 1101, 1141, 1107, 1096, 1115, 1111, 1098,      1034, 1111, 1102, 1108, 1097, 1104, 1137), PROX_CBD = c(14.3488328635023,      14.4087790426081, 14.2035293519974, 14.2040057462849, 14.2040057462849,      14.2040057462849, 14.3298082323417, 14.4799585140632, 14.2518409016409,      14.3469943525049, 13.9206851659757, 13.8838492138892, 14.3437499696049,      13.9701294998534, 13.8842234613226, 13.8269911518463, 14.2694643570804,      14.2694643570804, 13.7787547800329, 14.4453014943547), PROX_ELDERLYCARE = c(0.805205193908325,      0.87860471100088, 0.685279068417721, 0.732225931930739, 0.732225931930739,      0.732225931930739, 0.943112693551276, 1.06862824267944, 0.985840321219444,      1.07571195137499, 0.410984632703067, 0.321249151015697, 1.14464302293932,      0.798789790509628, 0.284905700992106, 0.272443342502121,      1.14423906696184, 1.14423906696184, 0.357313426679343, 0.431976777822193     ), PROX_HAWKER = c(0.28631929470226, 0.295591155505828, 0.384064154962602,      0.429643877236979, 0.429643877236979, 0.429643877236979,      0.494981643036057, 0.462243392197612, 0.656651462258042,      0.654543769257927, 0.63246529422046, 0.661984274687099, 0.74882220835846,      0.796241674024292, 0.667389882084889, 0.718894335359525,      0.826638245470088, 0.826638245470088, 0.779750574682814,      0.391270554493315), PROX_MRT = c(0.320519516131068, 0.258499173090988,      0.289240493397468, 0.339881548667158, 0.339881548667158,      0.339881548667158, 0.122691316210064, 0.082651796212049,      0.189142279194464, 0.131478587775223, 0.247793554682504,      0.202599849124069, 0.217663394995295, 0.262922949537813,      0.172676244118343, 0.250191496834268, 0.30438768875815, 0.30438768875815,      0.373119808041594, 0.309279527401184), PROX_PARK = c(0.585388118838944,      0.572778275466331, 0.69423802629866, 0.735378016798131, 0.735378016798131,      0.735378016798131, 0.760551135167525, 0.682350458092963,      0.785709089572823, 0.731552922713316, 0.9355470513087, 0.953674473627188,      0.636899975343007, 0.929619749314005, 0.946790994443363,      1.00953333913803, 0.599699049952129, 0.599699049952129, 1.07510958061046,      0.463863624631307), PROX_GOOD_PRISCH = c(4.99658730632735,      5.07040230577432, 4.84858590291698, 4.87692111553996, 4.87692111553996,      4.87692111553996, 5.05687720866847, 5.20136656590841, 5.03443000866885,      5.13548460888622, 4.55661004860153, 4.48950135049007, 5.1680916684458,      4.76155598853922, 4.46427355245829, 4.43409233459216, 5.12184985907385,      5.12184985907385, 4.43794264479214, 4.92565705183443), PROX_MALL = c(0.415696526053807,      0.48422641650143, 0.37351280301214, 0.458083927679449, 0.458083927679449,      0.458083927679449, 0.644100917109673, 0.64848155368644, 0.535261743386166,      0.480981762762808, 0.441605558767423, 0.415387276861254,      0.38589862433106, 0.698652085628877, 0.384398044205003, 0.464449368072494,      0.351657486288216, 0.351657486288216, 0.579723774298741,      0.259948531881284), PROX_CHAS = c(0.232702657922268, 0.263312743704905,      0.170907589664044, 0.0920652608940773, 0.0920652608940773,      0.0920652608940773, 0.116678641770301, 0.149921511006425,      0.121511881264649, 0.0578525184286013, 0.230184731543739,      0.130388475133542, 0.0401042229543167, 0.224338502615803,      0.0936868185767241, 0.093713435160417, 0.120456720485379,      0.120456720485379, 0.2330532561781, 0.259948576333881), PROX_SUPERMARKET = c(0.232703172737007,      0.263313051629592, 0.170908382081647, 0.0920659899308881,      0.0920659899308881, 0.0920659899308881, 0.116679779166118,      0.149922203205158, 0.121511691834874, 0.0704323341151683,      0.23018467784701, 0.130388583033251, 0.165776473264822, 0.281017798180362,      0.093687407280864, 0.0937132175773042, 0.244158473149448,      0.244158473149448, 0.233052713938452, 0.257218468152336),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 5L, 5L, 5L, 5L,          7L, 6L, 10L, 7L, 4L, 3L, 8L, 7L, 3L, 5L, 10L, 10L, 4L,          4L), WITHIN_350M_BUS = c(9L, 10L, 9L, 9L, 9L, 9L, 9L,          6L, 9L, 8L, 13L, 9L, 8L, 13L, 7L, 8L, 9L, 9L, 11L, 6L         ), WITHIN_1KM_PRISCH = c(6L, 5L, 5L, 5L, 5L, 5L, 5L,          4L, 6L, 4L, 5L, 5L, 5L, 8L, 5L, 5L, 6L, 6L, 8L, 4L),          DNeighbour = c(0, 77.5142106266521, 147.726774441684,          155.508083275144, 156.858095117366, 158.382595788552,          239.128332374317, 283.123916933789, 392.056185788527,          410.189575089997, 440.299557157894, 508.934402411763,          514.412239024516, 514.498393759711, 549.373464561937,          559.14873809174, 573.513778560024, 576.997872018567,          577.39051451778, 586.774295898051)), row.names = c("363",      "969", "66", "911", "272", "448", "688", "979", "73", "488",      "516", "723", "70", "301", "670", "376", "470", "434", "549",      "50"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.965402523429173,      0.877250453970881, 0.864459891313871, 0.862183873293519,      0.859593686258617, 0.695420925804728, 0.588572827453372,      0.306438507178395, 0.261445254009694, 0.190916949536691,      0.0613635336435686, 0.0535623060654739, 0.0534432003398976,      0.0152316804853131, 0.00845373609862822, 0.00199695495463763,      0.00109197238521292, 0.00100670070707617, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1781652401 
R squared (OOB):                  0.3056794 

$Forests[[364]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 350000, 374000,      340000, 408000, 392000, 425000, 370000, 328000, 421000, 335000,      4e+05, 505000, 361000, 360000, 5e+05, 410000, 540000, 325000,      368000), floor_area_sqm = c(104, 105, 103, 104, 100, 103,      108, 98, 84, 93, 84, 103, 92, 84, 103, 92, 93, 90, 85, 100     ), storey_order = c(2L, 1L, 2L, 1L, 4L, 2L, 3L, 2L, 4L, 4L,      2L, 3L, 4L, 4L, 1L, 3L, 4L, 3L, 1L, 2L), remaining_lease_mths = c(822,      837, 862, 869, 921, 833, 820, 912, 806, 789, 796, 796, 1051,      794, 798, 1049, 788, 1067, 830, 923), PROX_CBD = c(10.8294299245227,      10.9742090734032, 11.0478583208432, 10.9782438935663, 10.7481925626994,      10.8307618753175, 10.7884209511687, 10.6430674352334, 10.2439629519707,      10.8005053894847, 10.2571858212528, 10.2571858212528, 11.4388659085475,      10.1908965186918, 10.1540744969693, 11.4975151935682, 10.7402382849343,      11.5237533038112, 10.1989356004427, 10.5911430304609), PROX_ELDERLYCARE = c(0.925828280583076,      0.852070403211021, 0.694826263841934, 0.748731634955849,      1.00181077128688, 1.12487398858542, 1.11323464510705, 1.10983952182968,      0.904720646157319, 1.11154389564577, 0.969336561855173, 0.969336561855173,      0.529438756707198, 0.891997547710976, 0.85844301108046, 0.485429735975203,      1.05196585123006, 0.374021376468387, 1.08623091115154, 1.2745451415541     ), PROX_HAWKER = c(0.558859907936318, 0.487483409830997,      0.33156405975617, 0.421987441153261, 0.591883114810231, 0.775872885593274,      0.812377793689625, 0.494234864614673, 0.616195579705155,      0.918995125488027, 0.543600998034675, 0.543600998034675,      0.319632581294072, 0.594526114354717, 0.614574465644474,      0.320302217757218, 1.02652926791064, 0.235307086042243, 0.368744432216956,      0.314632743063994), PROX_MRT = c(0.633065114071651, 0.534522073584246,      0.413251174688675, 0.516121726350597, 0.80807654444201, 0.568072215940967,      0.526269526678983, 0.91242151857363, 0.52596302633555, 0.566932323762424,      0.5984056038899, 0.5984056038899, 0.264110896255266, 0.554399001312584,      0.544743966599557, 0.24936700359253, 0.546812793492647, 0.148196296616071,      0.78040997284139, 1.14211364891441), PROX_PARK = c(0.822296725898933,      0.623434891123849, 0.855372307789476, 1.01560706627581, 1.13130385684233,      0.443949121553361, 0.467051942358664, 1.09293299728603, 0.626908579085899,      0.370936327890873, 0.690393008756984, 0.690393008756984,      0.653351036954048, 0.61263038213259, 0.578916018382343, 0.698336840868775,      0.401614025373747, 0.808531626238996, 0.808282577864154,      0.997953552798557), PROX_GOOD_PRISCH = c(1.88031331185984,      2.09882394138718, 1.96973866183315, 1.81228643023267, 1.51127824976447,      2.22887532154294, 2.2131785217075, 1.4206810513637, 1.44855804010835,      2.34700895725274, 1.38840710840139, 1.38840710840139, 2.45055199705462,      1.40421671412888, 1.40445923276907, 2.48345794754568, 2.39141973384207,      2.43173748992112, 1.199846441039, 1.15731102426836), PROX_MALL = c(0.43093778326398,      0.606835933426222, 0.400154220571097, 0.231229629812008,      0.114469773448463, 0.384053234723219, 0.340751907865098,      0.220538248250442, 0.644656189163291, 0.363372953846058,      0.638527944164543, 0.638527944164543, 0.840491697823826,      0.685823836221668, 0.685950169481642, 0.805279144871904,      0.344610557976029, 0.840908486660855, 0.663851500718272,      0.441630162720786), PROX_CHAS = c(0.0390568763467083, 0.20965056306942,      0.193330180912365, 0.23122963873357, 0.0793642323922721,      0.2644107607892, 0.260152478655286, 0.0703959269798554, 0.155315138624813,      0.111289200730163, 0.0819899420632749, 0.0819899420632749,      0.210772889992189, 0.151788880767358, 0.170954716034814,      0.18789773503711, 0.106045676778667, 0.0822817354855642,      0.0710453772718398, 0.327465416824022), PROX_SUPERMARKET = c(0.430936681100737,      0.477398814511427, 0.392366955335671, 0.231228589734032,      0.114469867006585, 0.407226974513028, 0.363982132031921,      0.220538485726081, 0.18505229065347, 0.386863986973968, 0.123486578338512,      0.123486578338512, 0.189609627596398, 0.152401712794372,      0.171715993026927, 0.186124684843571, 0.357992185767737,      0.113409172087645, 0.00115080458448496, 0.441631117888638     ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 1L, 2L, 1L, 2L, 1L,      0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L,      2L, 2L, 5L, 4L, 4L, 3L, 2L, 1L, 3L, 2L, 2L, 4L, 2L, 2L, 4L,      3L, 4L, 4L, 1L), WITHIN_350M_BUS = c(11L, 8L, 7L, 9L, 10L,      11L, 8L, 13L, 10L, 9L, 10L, 10L, 7L, 12L, 14L, 8L, 6L, 5L,      12L, 13L), WITHIN_1KM_PRISCH = c(6L, 6L, 6L, 5L, 6L, 6L,      6L, 6L, 6L, 5L, 5L, 5L, 5L, 6L, 5L, 4L, 5L, 4L, 4L, 4L),          DNeighbour = c(0, 222.626234543688, 233.095962566174,          276.642076305794, 428.20798399237, 435.950134984788,          445.419571440304, 485.274519458931, 599.277568559924,          605.261133966356, 606.354620880168, 615.269728311121,          644.861159864821, 661.109611089413, 689.216019842305,          690.408726392912, 692.079313217206, 700.92835378372,          745.150508380923, 802.169929618471)), row.names = c("364",      "239", "694", "317", "866", "743", "696", "627", "668", "56",      "591", "494", "271", "447", "560", "553", "6", "652", "967",      "718"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.85188670761058,      0.838254199983238, 0.776278411137784, 0.511288898321914,      0.496527882701273, 0.47841715806684, 0.401997530113299, 0.195262814956713,      0.185489352305134, 0.183720075075313, 0.169497456665394,      0.125139980198867, 0.10289607523594, 0.0685357420482493,      0.0672033743333155, 0.0653553559258037, 0.0559277102265631,      0.0187992542783441, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2291918354 
R squared (OOB):                  0.3632331 

$Forests[[365]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 365000, 388000,      432000, 410000, 420000, 333000, 335000, 305000, 360000, 313000,      305000, 323000, 325000, 315000, 349000, 371000, 339000, 338000,      320000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 99, 100,      99, 99, 99, 99, 101, 91, 102, 103, 100, 102, 102, 84), storey_order = c(2L,      1L, 1L, 4L, 2L, 1L, 3L, 4L, 4L, 3L, 4L, 1L, 1L, 2L, 2L, 2L,      2L, 3L, 4L, 4L), remaining_lease_mths = c(1125, 1135, 1134,      1123, 1136, 1121, 927, 927, 930, 915, 918, 921, 937, 970,      913, 832, 918, 923, 922, 885), PROX_CBD = c(17.7609329148819,      17.8160591469996, 17.8160591469996, 17.7152334804069, 17.7152334804069,      17.7152334804069, 17.6933534103443, 17.5934100264964, 17.5508688704121,      17.6482187406162, 17.8728040148932, 17.9733391318796, 17.4093430047218,      17.7083177660008, 17.9994058772431, 18.0642207733449, 17.9318121245061,      17.9456645257603, 18.1611534549189, 18.3433564216417), PROX_ELDERLYCARE = c(0.0656405943898966,      0.101440000613482, 0.101440000613482, 0.0982899037000713,      0.0982899037000713, 0.0982899037000713, 0.174626049595048,      0.183364759720919, 0.169110695114153, 0.399377154365588,      0.330981516384048, 0.376016337241346, 0.347622879353981,      0.378187975507624, 0.430537495183344, 0.558648465009425,      0.559180828327224, 0.476454782767532, 0.519233937445895,      0.623669944895056), PROX_HAWKER = c(0.769612072642938, 0.755409785256781,      0.755409785256781, 0.815736811633103, 0.815736811633103,      0.815736811633103, 0.89059259132002, 0.860123145519879, 0.736171211400498,      1.11261554439583, 0.446535534086157, 0.501520555884575, 0.646263997619536,      0.340346390827249, 0.472244893923117, 1.20831273824173, 1.18812307179958,      0.3648710200987, 0.617364695979906, 0.960648791795978), PROX_MRT = c(0.714624513867521,      0.729659889526201, 0.729659889526201, 0.674833365376197,      0.674833365376197, 0.674833365376197, 0.606842528225389,      0.675234243169572, 0.804998329325227, 0.417091391951799,      0.4868918768976, 0.52882455357406, 0.722831181419355, 0.403335562748004,      0.492638498779759, 0.387700307898407, 0.256828620430729,      0.385567417899789, 0.623413162025338, 0.899458799363821),          PROX_PARK = c(1.52091098886828, 1.49250729308795, 1.49250729308795,          1.52614967260321, 1.52614967260321, 1.52614967260321,          1.49905344652453, 1.60355051242194, 1.71737354643835,          1.38656874841243, 1.69875568186822, 1.62685700377268,          1.92330050908574, 1.86766019581863, 1.65421298847909,          1.04306097562022, 1.11695175135574, 1.76180373116006,          1.52418818882418, 1.17596756648915), PROX_GOOD_PRISCH = c(8.39120163011403,          8.44175881664207, 8.44175881664207, 8.35538963357137,          8.35538963357137, 8.35538963357137, 8.34857469941546,          8.24279341902993, 8.17476856172454, 8.34983568407236,          8.43952013253886, 8.54142359534323, 8.00696366683488,          8.26299778187914, 8.5589292690065, 8.76549326341746,          8.65275846320069, 8.49089982759618, 8.72758527833631,          8.95760590087653), PROX_MALL = c(0.147411017927622, 0.183177100903513,          0.183177100903513, 0.158599011552442, 0.158599011552442,          0.158599011552442, 0.223321337745784, 0.188384425612312,          0.109574351562212, 0.439097430243665, 0.330972758922268,          0.395841490391381, 0.265229996889848, 0.335143296665789,          0.446560923090423, 0.424594513900518, 0.417130987397582,          0.428159644756295, 0.475604736810637, 0.22079632378696         ), PROX_CHAS = c(0.14741100268466, 0.183177099178452,          0.183177099178452, 0.158598978424062, 0.158598978424062,          0.158598978424062, 0.21485891447712, 0.151781240761386,          0.048268048492383, 0.414359256629807, 0.330972805611547,          0.364030465322827, 0.23105278557526, 0.30242004444134,          0.324811070171065, 0.124680964632411, 0.259891808560044,          0.218909691095897, 0.405258493214775, 0.167893491583302         ), PROX_SUPERMARKET = c(0.113022549454425, 0.137568853383185,          0.137568853383185, 0.144345834884574, 0.144345834884574,          0.144345834884574, 0.218378438252518, 0.209139790637019,          0.15801430638391, 0.441697647833666, 0.300218301814749,          0.356071330024396, 0.313773352526138, 0.332189289926598,          0.408691343873882, 0.424593495373258, 0.438907970807184,          0.365864675212809, 0.475604214408431, 0.220795796105544         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(8L, 8L, 8L, 6L, 6L, 6L,          5L, 6L, 7L, 3L, 4L, 3L, 7L, 6L, 4L, 2L, 3L, 3L, 5L, 8L         ), WITHIN_350M_BUS = c(10L, 15L, 15L, 12L, 12L, 12L,          13L, 12L, 12L, 9L, 8L, 11L, 13L, 7L, 9L, 7L, 9L, 8L,          10L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 6L, 7L, 7L, 7L,          8L, 8L, 6L, 7L, 7L, 7L, 5L, 5L, 7L, 6L, 7L, 6L, 6L, 4L         ), DNeighbour = c(0, 51.7598307670977, 52.673147829193,          65.2696273448141, 67.3356743676569, 73.8068613175879,          142.071193734144, 186.035558779394, 214.66292774366,          360.256641429343, 362.059521328026, 394.885539395886,          413.916387056544, 437.067417749056, 448.313595027978,          490.400772164779, 499.254653131327, 506.971107090714,          515.62005985853, 581.048350429214)), row.names = c("365",      "402", "53", "298", "13", "289", "112", "419", "438", "891",      "992", "179", "174", "544", "177", "773", "976", "20", "330",      "953"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98419244874303,      0.983631991018483, 0.974922800937266, 0.973320982989855,      0.967990341203709, 0.884005467931716, 0.805487813943569,      0.745655643695083, 0.378945850141131, 0.37421188117424, 0.289586001687612,      0.242596939780385, 0.188519032418539, 0.163778328667962,      0.0827573220300521, 0.0684986096746653, 0.0569893703588373,      0.0451681938417714, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       513509914 
R squared (OOB):                  0.6867932 

$Forests[[366]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(376000, 390000, 373000,      398000, 375000, 369000, 485000, 385000, 455000, 389000, 418888,      325000, 330000, 360000, 335000, 388000, 395000, 368000, 408000,      405000), floor_area_sqm = c(101, 101, 103, 100, 90, 94, 93,      101, 93, 103, 100, 84, 84, 104, 93, 100, 101, 100, 100, 102     ), storey_order = c(2L, 4L, 1L, 2L, 5L, 5L, 7L, 3L, 3L, 2L,      2L, 5L, 4L, 2L, 5L, 4L, 4L, 2L, 5L, 3L), remaining_lease_mths = c(948,      932, 870, 924, 946, 942, 1137, 952, 1139, 863, 932, 812,      806, 804, 921, 922, 936, 923, 916, 928), PROX_CBD = c(10.1515839247586,      10.247812625002, 9.95029435977204, 10.2027088676681, 10.5038890156487,      10.5038890156487, 10.5587309121129, 10.5394819073022, 10.5974154418399,      9.90721965789512, 9.64941173000682, 9.87023127008802, 9.63621863936401,      10.0879656312395, 10.6321305837804, 10.3133134299625, 10.5347600839054,      10.5911430304609, 9.71665400465424, 9.51108523911647), PROX_ELDERLYCARE = c(1.93850967877536,      1.89270432318243, 2.09611483432966, 1.63738856945076, 1.64894906385774,      1.64894906385774, 1.80931542236799, 1.55101586165687, 1.80859644276987,      2.17440400131014, 1.9510043332774, 1.35138892750767, 1.48805339077067,      1.31022889057949, 1.32435226249417, 1.4124150938613, 1.31633228018286,      1.2745451415541, 1.86385802759073, 1.80905665624389), PROX_HAWKER = c(0.608980172673109,      0.561647681218514, 0.876506442172381, 0.264427923442986,      0.53455823354733, 0.53455823354733, 0.792644050178693, 0.463304434183495,      0.832920293493618, 1.08766938871094, 0.940071074791988, 0.410023469086153,      0.677896697868769, 0.196699811405185, 0.382898898882956,      0.0623262564011618, 0.259744380023822, 0.314632743063994,      1.14805608329678, 0.978663880778012), PROX_MRT = c(1.73271025710532,      1.63637339364314, 1.8917195123599, 1.392302848886, 1.36742764633517,      1.36742764633517, 1.33157685526365, 1.31136747445593, 1.28588132880872,      1.9078610258369, 1.69853939108909, 1.23646610314009, 1.32502198166586,      1.09046737609619, 1.20430491709432, 1.09471398918577, 1.15842683571226,      1.14211364891441, 2.10187463598542, 1.99882067476962), PROX_PARK = c(0.464183104254495,      0.443665461164749, 0.516721166595223, 0.728383914708498,      0.486479545769779, 0.486479545769779, 0.251058120460841,      0.594979546415276, 0.248039629274522, 0.551504280527303,      0.624691995850973, 0.375073916060521, 0.202594030185392,      0.604882226694947, 0.852996238213812, 0.826294351272671,      1.00657829367171, 0.997953552798557, 0.706984478917025, 0.674672834209049     ), PROX_GOOD_PRISCH = c(0.447003801568155, 0.550324531917386,      0.213708578130609, 0.689163418131917, 0.819356328881161,      0.819356328881161, 0.819366619188368, 0.89296386953394, 0.856849085387122,      0.299143542468678, 0.107363170703005, 0.706117631385061,      0.53169554186008, 0.87937610392538, 1.09467860924251, 0.993301788551023,      1.12709017589061, 1.15731102426836, 0.494123442243702, 0.439174603441127     ), PROX_MALL = c(0.217974225134877, 0.190941194230935, 0.493813340134231,      0.12742430838485, 0.3366209001709, 0.3366209001709, 0.516143411126369,      0.357726596913911, 0.562952549426665, 0.701652802220213,      0.625847194134012, 0.445899708163642, 0.564979440463645,      0.441232897113797, 0.512358501951296, 0.450275200033962,      0.464767570965945, 0.441630162720786, 1.00609620967541, 0.994410311642026     ), PROX_CHAS = c(0.217974279370684, 0.190941257524933, 0.36937911638564,      0.127424254451578, 0.232134688144963, 0.232134688144963,      0.236682264577822, 0.263233285458842, 0.235419924819913,      0.242250716663617, 0.134178633248207, 0.0764125853219005,      0.204909081807225, 0.177420148260447, 0.394471723674887,      0.071192987667569, 0.272565000598528, 0.327465416824022,      0.0862664572880411, 0.21913048386411), PROX_SUPERMARKET = c(0.216455869736569,      0.19229406714866, 0.359694409353041, 0.129189539659537, 0.232133828519976,      0.232133828519976, 0.236682533577294, 0.263232243208913,      0.23542039277371, 0.157554225694085, 0.344381560072065, 0.158655939798418,      0.145410708854306, 0.320748009942088, 0.447614574279886,      0.330151298165832, 0.464768447350912, 0.441631117888638,      0.0862669641327853, 0.21913043091083), WITHIN_350M_KINDERGARTEN = c(1L,      3L, 2L, 0L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 1L, 0L, 2L, 1L,      1L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(9L, 10L, 7L, 6L,      5L, 5L, 7L, 6L, 7L, 6L, 3L, 5L, 3L, 5L, 3L, 4L, 1L, 1L, 8L,      4L), WITHIN_350M_BUS = c(10L, 10L, 12L, 13L, 11L, 11L, 10L,      15L, 10L, 10L, 8L, 8L, 7L, 11L, 12L, 15L, 15L, 13L, 8L, 7L     ), WITHIN_1KM_PRISCH = c(4L, 4L, 3L, 4L, 4L, 4L, 3L, 4L,      3L, 2L, 3L, 5L, 3L, 5L, 4L, 4L, 4L, 4L, 1L, 1L), DNeighbour = c(0,      100.970645250577, 305.120646023048, 344.714317045537, 369.535822225774,      371.515344123737, 428.273488505081, 444.570583406616, 476.320991953274,      496.252186734922, 517.961171104013, 602.522677596765, 632.30729308937,      648.512149812394, 666.232406740092, 666.758471265797, 737.100409821483,      757.790670954828, 813.088492777512, 853.234217301404)), row.names = c("366",      "667", "780", "771", "942", "734", "614", "769", "360", "629",      "459", "755", "189", "292", "975", "513", "577", "718", "879",      "719"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.972188008125316,      0.760591221752281, 0.700195269964448, 0.660033253029223,      0.65676326640464, 0.559586186892227, 0.530734944147207, 0.473829886658391,      0.437881586889456, 0.398770400010426, 0.251335193190847,      0.203232809740612, 0.178340279548511, 0.152335421361047,      0.151584449125112, 0.0643607809452362, 0.0446092149576317,      0.00844352458620452, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1379011220 
R squared (OOB):                  0.06013078 

$Forests[[367]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 303000, 330000,      303888, 298000, 297000, 325000, 272000, 344000, 3e+05, 320000,      326000, 375000, 316000, 318000, 245000, 305000, 370000, 355000,      359900), floor_area_sqm = c(103, 92, 103, 93, 93, 91, 91,      89, 114, 96, 84, 100, 92, 92, 91, 88, 91, 93, 93, 93), storey_order = c(4L,      1L, 2L, 2L, 1L, 3L, 4L, 2L, 2L, 4L, 1L, 2L, 4L, 3L, 1L, 2L,      4L, 5L, 3L, 3L), remaining_lease_mths = c(768, 794, 773,      782, 777, 788, 780, 882, 909, 791, 822, 915, 783, 781, 765,      668, 791, 1106, 1111, 1117), PROX_CBD = c(18.3186881593276,      18.2139172788048, 18.4499801912104, 18.5252470382495, 18.5252470382495,      18.1476771148045, 18.1476771148045, 17.8554664137964, 17.7896312466061,      18.5761736305699, 17.6406634027014, 17.6260899808187, 18.1857629477019,      18.2234963781047, 18.2234963781047, 18.8842060529579, 18.2610111258248,      18.8127816342995, 18.8127816342995, 18.8127816342995), PROX_ELDERLYCARE = c(0.586525817031338,      0.649170232100017, 0.504778052376495, 0.449194476018676,      0.449194476018676, 0.519546459890619, 0.519546459890619,      0.800501761367975, 1.25681260125729, 0.0638277150498875,      1.035266769267, 1.35112026832555, 0.47723779098819, 0.448333702611612,      0.448333702611612, 0.229103995883471, 0.421521882373529,      0.176499517448139, 0.176499517448139, 0.176499517448139),          PROX_HAWKER = c(0.564283191409187, 0.488031980714328,          0.652207052169444, 0.69553534809229, 0.69553534809229,          0.209390724873544, 0.209390724873544, 0.203123967436651,          0.881066744107593, 0.562029876499453, 0.425506106332545,          0.881717267283345, 0.380157991945912, 0.416527045274471,          0.416527045274471, 0.280513302960552, 0.453171307776496,          0.325560722493799, 0.325560722493799, 0.325560722493799         ), PROX_MRT = c(0.220618943711049, 0.192826481399443,          0.322534237265928, 0.398456142880405, 0.398456142880405,          0.491311596778589, 0.491311596778589, 0.555370291384357,          0.459633808793419, 0.874368880716004, 0.641227062746355,          0.583976034009999, 0.548087095608087, 0.545975779093886,          0.545975779093886, 1.03601464731326, 0.547550551918807,          1.04083770509984, 1.04083770509984, 1.04083770509984),          PROX_PARK = c(0.548488124002706, 0.532358306258428, 0.536975621309476,          0.491317901173298, 0.491317901173298, 0.270911567278729,          0.270911567278729, 0.515057634059466, 1.08767920112524,          0.287868908027907, 0.74946287094318, 1.13048326604805,          0.261695126667213, 0.264257474455249, 0.264257474455249,          0.579556587207627, 0.272660801967067, 0.51923222906617,          0.51923222906617, 0.51923222906617), PROX_GOOD_PRISCH = c(9.44179125712709,          9.33501569353139, 9.56762880935522, 9.63394268044443,          9.63394268044443, 9.18618174729203, 9.18618174729203,          8.91472106998272, 9.06437119601063, 9.51590189269927,          8.7372089119322, 8.8937984610311, 9.10363750169146, 9.1355701416359,          9.1355701416359, 9.83133063879426, 9.16752282736586,          9.7422556358987, 9.7422556358987, 9.7422556358987), PROX_MALL = c(0.574856358668165,          0.498813518897969, 0.662291407978718, 0.705200807731176,          0.705200807731176, 0.218975149940797, 0.218975149940797,          0.208298160410803, 0.889615709496153, 0.624506085881379,          0.427942470585451, 0.88883938803957, 0.374195605351922,          0.411037179701155, 0.411037179701155, 0.91348864249693,          0.448092738738542, 0.856774663098642, 0.856774663098642,          0.856774663098642), PROX_CHAS = c(0.141159289664064,          0.0363398547195702, 0.201478871858691, 0.240425442805127,          0.240425442805127, 0.218975205360203, 0.218975205360203,          0.208298146952687, 0.198210651063146, 0.0792988689034794,          0.23100298607827, 0.292626833079875, 0.172021358032342,          0.132763801624598, 0.132763801624598, 0.241229981070425,          0.0964740211655948, 0.2593611752042, 0.2593611752042,          0.2593611752042), PROX_SUPERMARKET = c(0.210011389308567,          0.186956242757619, 0.310351384739933, 0.386130046709882,          0.386130046709882, 0.206881250620068, 0.206881250620068,          0.19872598136169, 0.347801992140281, 0.625539331690589,          0.231004283416662, 0.489184551662952, 0.38486207983901,          0.421116980529575, 0.421116980529575, 0.911876453557648,          0.457654559995222, 0.856773769273042, 0.856773769273042,          0.856773769273042), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 0L, 0L, 0L, 0L, 0L, 3L, 0L, 0L, 3L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 5L,          2L, 1L, 1L, 3L, 3L, 5L, 4L, 2L, 6L, 3L, 2L, 2L, 2L, 1L,          2L, 1L, 1L, 1L), WITHIN_350M_BUS = c(10L, 9L, 9L, 8L,          8L, 7L, 7L, 10L, 7L, 10L, 8L, 6L, 4L, 6L, 6L, 13L, 6L,          16L, 16L, 16L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L,          2L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 4L, 4L, 4L, 1L, 4L, 1L,          1L, 1L), DNeighbour = c(0, 107.46599427384, 131.256997985746,          200.689560398308, 202.070097644603, 370.354755443425,          372.573294914771, 550.600774093323, 676.580451233811,          697.47659128707, 710.453126014946, 785.424334316317,          790.813322458412, 801.460266901545, 801.720769878709,          816.111989913852, 818.813537270682, 824.066788614417,          825.485424467607, 826.118929154234)), row.names = c("367",      "481", "810", "106", "11", "827", "944", "467", "172", "78",      "730", "612", "733", "202", "47", "96", "905", "637", "418",      "604"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.966441949220253,      0.950149076413919, 0.88545225746952, 0.883919641083024, 0.63843454135882,      0.634580999132606, 0.308902345225646, 0.108412618153857,      0.0824777735219379, 0.0678180851285973, 0.00923394114912099,      0.00699682015979738, 0.00345822296635425, 0.00338662493679503,      0.00057982999925773, 0.000310036543766874, 2.46212191719212e-05,      2.35039799816339e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1238544052 
R squared (OOB):                  -0.1703886 

$Forests[[368]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(377000, 390000, 350000,      390000, 412000, 390000, 380000, 420000, 340000, 375000, 380000,      4e+05, 350000, 350000, 395000, 368888, 350000, 4e+05, 385000,      368000), floor_area_sqm = c(92, 92, 92, 92, 92, 93, 93, 92,      92, 92, 92, 92, 93, 104, 93, 92, 92, 92, 92, 92), storey_order = c(2L,      2L, 1L, 4L, 3L, 3L, 3L, 4L, 2L, 1L, 2L, 3L, 1L, 3L, 4L, 2L,      1L, 4L, 3L, 2L), remaining_lease_mths = c(1135, 1128, 1131,      1142, 1128, 1113, 1110, 1133, 1133, 1139, 1142, 1136, 1111,      812, 1108, 1102, 1111, 1142, 1132, 1100), PROX_CBD = c(14.5662038835035,      14.5136499050456, 14.6346875310408, 14.5596883563906, 14.5596883563906,      14.6879879340018, 14.607628567626, 14.7615340778399, 14.8395197777251,      14.8395197777251, 14.4940333615496, 14.7935232496013, 14.6221320584002,      14.8739209120931, 14.6649260398624, 14.8482953663728, 14.8482953663728,      14.8350589102573, 14.9536689261967, 14.9752079088984), PROX_ELDERLYCARE = c(0.396119369193007,      0.440212280139716, 0.318998242024868, 0.399519357429504,      0.399519357429504, 0.267910637295867, 0.363539264939185,      0.301679225956583, 0.143171284390361, 0.143171284390361,      0.500918112427577, 0.348662381557687, 0.410896008057539,      0.224374856243457, 0.374463671675583, 0.157028625587627,      0.157028625587627, 0.366071958673004, 1.13414610370389e-06,      0.199763345782594), PROX_HAWKER = c(0.661743266121302, 0.681591249319273,      0.567748890704442, 0.625641729464286, 0.625641729464286,      0.507741768149319, 0.571839614015762, 0.582527401679673,      0.426817039061835, 0.426817039061835, 0.682637638745144,      0.61938764744993, 0.55845452984231, 0.490895901627697, 0.515424723672587,      0.332945546865787, 0.332945546865787, 0.625406547060166,      0.283688306330561, 0.202333554334061), PROX_MRT = c(1.61118001364451,      1.51230084146916, 1.53691575721219, 1.46473462254762, 1.46473462254762,      1.51619569366002, 1.42703012637354, 1.75082728996661, 1.58589972239689,      1.58589972239689, 1.32800225952209, 1.80023823132094, 1.30119397664661,      1.67344316225132, 1.31347134818138, 1.41585626072206, 1.41585626072206,      1.81204065654847, 1.45204946878565, 1.27457972333389), PROX_PARK = c(0.741043428920938,      0.723946747094916, 0.633519966923, 0.656743209310805, 0.656743209310805,      0.573128508978659, 0.592644125813336, 0.739209778966795,      0.573834160005083, 0.573834160005083, 0.65941869562705, 0.794674698621811,      0.524601749565547, 0.671840643384197, 0.48594234877488, 0.40224168015695,      0.40224168015695, 0.813480610745631, 0.447466290733612, 0.259935562114549     ), PROX_GOOD_PRISCH = c(5.30307595814772, 5.22451833965112,      5.34297669438126, 5.25302892838613, 5.25302892838613, 5.38500296681299,      5.28617698570013, 5.53447364393692, 5.56483468018996, 5.56483468018996,      5.15263130971644, 5.58881641790013, 5.26427170666348, 5.63420261242257,      5.30673314037113, 5.51627049340211, 5.51627049340211, 5.6396253746677,      5.64958645026222, 5.6171537261999), PROX_MALL = c(0.69438942428714,      0.591658790399046, 0.633302242537752, 0.550646738699849,      0.550646738699849, 0.626246838364162, 0.523782484457491,      0.897398400321744, 0.805396060532061, 0.805396060532061,      0.407798057490129, 0.980189305249844, 0.412850725186958,      0.927972955155417, 0.439421746266814, 0.649229394533883,      0.649229394533883, 1.03026167893405, 0.806257336881612, 0.689421511186311     ), PROX_CHAS = c(0.0799578054615725, 0.179710137259641, 0.120955806912261,      0.19650938121062, 0.19650938121062, 0.160113448728027, 0.198893245072118,      0.166975848000366, 0.204546662914522, 0.204546662914522,      0.0559452214520875, 0.244316778428722, 0.0938393111767789,      0.25243947150411, 0.0969357032130768, 0.274130336331615,      0.274130336331615, 0.298721071991625, 0.14456617920399, 0.230775629929228     ), PROX_SUPERMARKET = c(0.41943325951703, 0.343491998264143,      0.327836032489634, 0.27843134046436, 0.27843134046436, 0.300165340388346,      0.223766299699327, 0.408349928269047, 0.280088374069707,      0.280088374069707, 0.202112654374605, 0.416104879739584,      0.0938384818523742, 0.298947211163532, 0.0969351949685631,      0.296829834724774, 0.296829834724774, 0.402632437071234,      0.16127040484797, 0.264202614673064), WITHIN_350M_KINDERGARTEN = c(0L,      0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L,      0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 4L, 6L, 3L,      3L, 6L, 4L, 3L, 5L, 5L, 4L, 2L, 6L, 3L, 6L, 5L, 5L, 2L, 7L,      4L), WITHIN_350M_BUS = c(6L, 6L, 8L, 7L, 7L, 7L, 7L, 4L,      5L, 5L, 9L, 6L, 9L, 6L, 8L, 9L, 9L, 6L, 6L, 9L), WITHIN_1KM_PRISCH = c(3L,      4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 4L, 4L,      4L, 3L, 3L, 3L), DNeighbour = c(0, 103.309294401721, 107.713281671352,      144.78504165513, 149.703582544751, 168.876875044093, 201.038615368222,      246.13969727742, 274.537798796268, 277.036977407885, 282.444908089069,      319.316913034809, 326.063600320623, 332.979330882394, 335.851882732582,      340.069996772067, 341.317514624468, 371.989803688541, 400.584586356097,      499.053279816397)), row.names = c("368", "706", "583", "163",      "961", "469", "452", "620", "543", "152", "702", "478", "324",      "602", "17", "195", "762", "27", "139", "558"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.91612967476752, 0.909000451211515, 0.838745925316102, 0.828127135136848,      0.784091080817988, 0.701774709786531, 0.572656450351659,      0.486326386065417, 0.478637296852718, 0.461975314209179,      0.348805935245542, 0.328460897611849, 0.307819455175009,      0.299319065580728, 0.286923950596646, 0.283279142438453,      0.197484530244029, 0.126515619956144, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       493541141 
R squared (OOB):                  0.005917402 

$Forests[[369]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 395888, 370000,      368000, 3e+05, 342000, 375000, 4e+05, 390000, 365000, 345000,      371000, 313000, 332000, 390000, 4e+05, 430000, 310000, 4e+05,      338000), floor_area_sqm = c(93, 94, 92, 100, 94, 105, 100,      100, 91, 91, 92, 91, 103, 104, 90, 91, 91, 104, 90, 103),          storey_order = c(3L, 3L, 3L, 2L, 2L, 4L, 5L, 5L, 2L,          5L, 2L, 2L, 4L, 3L, 2L, 2L, 4L, 3L, 3L, 4L), remaining_lease_mths = c(1029,          1063, 922, 937, 817, 822, 935, 923, 956, 965, 974, 957,          823, 838, 947, 956, 962, 838, 953, 836), PROX_CBD = c(18.2498667293237,          18.1899007658477, 18.2744201988815, 18.1853912561079,          18.4835571341017, 18.4174433264455, 18.2155576397088,          18.2155576397088, 17.980006840849, 17.6174166659189,          17.6174166659189, 17.630719557776, 19.0236365771618,          18.3394484051955, 17.5579663674298, 17.5146993337396,          17.4594236905894, 18.2872060948971, 17.5759295796121,          18.1853470145009), PROX_ELDERLYCARE = c(2.08641833813892,          2.0412967820292, 1.91030467455468, 1.83831888483507,          2.12772209584432, 2.01990466694452, 1.82774218733134,          1.82774218733134, 1.69038013517483, 1.58663462608392,          1.58663462608392, 1.35614304544574, 2.54744167947726,          1.68689945441126, 1.26304449634962, 1.21552371031002,          1.1429422216578, 1.57361264937598, 1.07156662032258,          1.46334015610348), PROX_HAWKER = c(0.574007707230075,          0.56403310040428, 0.292675997882175, 0.267411626133086,          0.47819209562201, 0.365194571711665, 0.218122417644225,          0.218122417644225, 0.32947027962251, 0.699652587196505,          0.699652587196505, 0.550798352023498, 0.905177457311038,          0.322806547864559, 0.610726758846462, 0.65109908849923,          0.704564458032275, 0.464971900021808, 0.622851592932912,          0.490406092071559), PROX_MRT = c(0.270260950193414, 0.225540054498686,          0.25859759791353, 0.186589372260449, 0.440067919828323,          0.394110762668951, 0.24629140143503, 0.24629140143503,          0.131298797620671, 0.430901962912929, 0.430901962912929,          0.481509556817778, 0.985299554465195, 0.722989849955079,          0.415424130147435, 0.367017506823782, 0.304209523777939,          0.870907467758581, 0.449846795062068, 0.888080533877704         ), PROX_PARK = c(0.261745107633199, 0.321396863181507,          0.366705585759005, 0.431621232177097, 0.199823808978303,          0.305293053539538, 0.449638685926872, 0.449638685926872,          0.597192139646456, 0.815337468455046, 0.815337468455046,          0.706852169587072, 0.583731630523903, 0.845903786092674,          0.622915525490857, 0.57589083993138, 0.515475588097358,          0.791043930625847, 0.650211227804106, 0.741201414908801         ), PROX_GOOD_PRISCH = c(7.5938744989762, 7.5338271442293,          7.60907430161507, 7.51998659904145, 7.82005706650481,          7.75189187586876, 7.54917724573578, 7.54917724573578,          7.31481473864251, 6.95710824587607, 6.95710824587607,          6.96345421686322, 8.3582852678982, 7.67457853159282,          6.89020500321914, 6.84682201594428, 6.79149624878531,          7.62743554697163, 6.90999703096039, 7.52724739525134),          PROX_MALL = c(0.606938778613173, 0.601163950940652, 0.31638525459609,          0.304347432784639, 0.482762920255867, 0.368677515727611,          0.249434383428027, 0.249434383428027, 0.38257003715367,          0.753687860987251, 0.753687860987251, 0.581015113036356,          0.880738168625507, 0.270650184250749, 0.488271313828636,          0.437698049352173, 0.366883459562171, 0.369641594977131,          0.456006423255308, 0.362005799982455), PROX_CHAS = c(0.270276303087269,          0.225556636612455, 0.258594927218762, 0.186582621643492,          0.297885151722028, 0.279695275413424, 0.246283235408848,          0.246283235408848, 0.131281394661179, 0.430898255483663,          0.430898255483663, 0.481496129777697, 0.162790585292827,          0.186439783883369, 0.40162373925963, 0.354009255575758,          0.293637386768921, 0.000458346083760352, 0.401255348981324,          0.11010335009361), PROX_SUPERMARKET = c(0.384544806397502,          0.37174850741073, 0.297968471640837, 0.289364184128333,          0.402675729717655, 0.3481604922123, 0.233030240431279,          0.233030240431279, 0.37748716441855, 0.467885028141574,          0.467885028141574, 0.432325009404537, 0.258877921583013,          0.279112228601587, 0.339170507836652, 0.288534867112482,          0.217741105325511, 0.367596841627256, 0.338457664260807,          0.36017462873485), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 4L, 2L, 2L,          2L, 6L, 1L, 7L), WITHIN_350M_CHILDCARE = c(6L, 5L, 7L,          7L, 9L, 7L, 7L, 7L, 5L, 4L, 4L, 6L, 4L, 4L, 6L, 6L, 6L,          4L, 5L, 4L), WITHIN_350M_BUS = c(11L, 13L, 17L, 16L,          12L, 14L, 15L, 15L, 14L, 6L, 6L, 8L, 11L, 11L, 9L, 10L,          8L, 9L, 8L, 11L), WITHIN_1KM_PRISCH = c(4L, 4L, 5L, 4L,          5L, 5L, 6L, 6L, 3L, 3L, 3L, 4L, 2L, 6L, 4L, 4L, 4L, 5L,          4L, 5L), DNeighbour = c(0, 67.4606274487594, 294.447726699684,          313.249524691092, 317.129843807474, 348.548244491678,          355.849818644287, 361.73489793191, 395.761433817198,          647.125555993796, 650.049955908689, 747.864793210195,          823.492655399178, 847.410386539282, 847.636844862698,          899.551702024089, 970.649416721797, 1016.8606964498,          1020.01496244494, 1062.78325166392)), row.names = c("369",      "422", "835", "31", "774", "257", "571", "643", "910", "220",      "14", "547", "248", "693", "545", "93", "937", "414", "357",      "857"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.991957972617604,      0.852374694826135, 0.83379850030747, 0.829848243960179, 0.79645551807074,      0.788348770577502, 0.781723403661661, 0.741892106754604,      0.39594853722889, 0.391733174757708, 0.254850509823605, 0.159691901407701,      0.132665486107303, 0.132418036365388, 0.080422150044634,      0.0275118048843687, 0.00714909809321082, 0.00621955543139844,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       914574606 
R squared (OOB):                  0.3416772 

$Forests[[370]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(592000, 635000, 480000,      518000, 420000, 475000, 492000, 550000, 507000, 515000, 455000,      394000, 315000, 380000, 380000, 440000, 480000, 366800, 335000,      330000), floor_area_sqm = c(108, 105, 84, 88, 84, 89, 84,      105, 105, 105, 95, 102, 91, 100, 103, 93, 104, 105, 84, 82     ), storey_order = c(2L, 4L, 1L, 3L, 2L, 1L, 4L, 3L, 2L, 2L,      2L, 2L, 1L, 4L, 1L, 3L, 2L, 2L, 2L, 4L), remaining_lease_mths = c(810,      833, 789, 770, 777, 789, 788, 786, 770, 762, 784, 769, 722,      931, 923, 759, 777, 761, 791, 657), PROX_CBD = c(7.18468073982128,      7.22087947204147, 7.1729887096531, 7.79515244158294, 7.13486939655985,      7.05609226259357, 7.5632891932167, 7.59960912304084, 7.67544881001386,      7.9455961592131, 7.49071683084666, 6.11041994069873, 8.21547938057256,      8.15573636625741, 8.21483984631558, 5.4791067318598, 8.81196120759187,      8.5913881835975, 9.13853516155078, 6.06674643703895), PROX_ELDERLYCARE = c(1.63490637838594,      1.54373359073656, 1.69705296801524, 1.83577537822547, 1.66246099208497,      1.59520672965634, 1.91313469252559, 1.85656629786719, 1.73611556579875,      1.77517839654503, 1.54524415115482, 0.700949857098155, 0.425001866306461,      0.30639563225599, 0.287120499253456, 0.505585511375112, 0.68560621126507,      0.675108088860868, 1.86142420062345, 0.10409496222889), PROX_HAWKER = c(1.02937341390922,      1.05968958012269, 1.25907896080059, 1.19066876388205, 1.23225985170817,      1.17571504816288, 1.10032443578502, 1.04404154823438, 0.926505356032751,      0.800389309546525, 0.996854886033364, 0.917579692245523,      0.272525769496456, 0.288074572046437, 0.248204869380096,      0.736115689949186, 0.290355020850324, 0.151496134675632,      0.823671555860494, 0.346985863757343), PROX_MRT = c(0.13577722868059,      0.206889953987817, 0.428812034955963, 0.499752126280618,      0.448181123975075, 0.487588773645627, 0.433934859087748,      0.492673618184051, 0.617354557404891, 0.75069701440163, 0.34804043957783,      0.781870827245549, 0.877462529610437, 0.998476915081282,      1.08736551837768, 0.797555156120123, 0.425157896719621, 0.864705124656065,      1.58022074581844, 1.1005845300218), PROX_PARK = c(0.802458220215738,      0.769170147627311, 0.405529884687165, 0.723268787935639,      0.367092279962757, 0.288106802683489, 0.474041874627479,      0.415297912555755, 0.29052205197453, 0.364839433462782, 0.292176487074364,      0.263971642616293, 0.34344129155164, 0.465482353353317, 0.587773758099403,      0.728040918615253, 0.468007817587664, 0.545921527880028,      0.533109662164166, 0.741200181243785), PROX_GOOD_PRISCH = c(2.6636605310312,      2.65891054731874, 2.56840479702555, 1.9917971907287, 2.60671936453148,      2.64150694603645, 2.17804686625686, 2.14133679267892, 2.0690813845722,      1.79538098544694, 2.30076298730527, 4.13214763824822, 2.64672046335999,      2.76944558246381, 2.8757656049093, 2.93310132502147, 2.18636815139252,      2.65365036334729, 0.605615063995802, 1.85819018299306), PROX_MALL = c(0.319563922107573,      0.389192825268572, 0.42122511428052, 0.483735594398556, 0.44210957307938,      0.487675149993812, 0.413593098419561, 0.472342316185911,      0.59706101530086, 0.730136421618933, 0.79872232386887, 1.32133984316634,      0.807676293785945, 0.92903564794814, 1.020621498239, 0.719613179783111,      0.389401354829447, 0.81045000642783, 0.925377142856182, 1.22044581333525     ), PROX_CHAS = c(0.244287808759251, 0.201367273106442, 0.364873472162596,      0.157541179554435, 0.395328272461269, 0.464118937564998,      5.15903103580734e-08, 0.0587537711423344, 0.183520259224292,      0.312128892467037, 0.204927614889482, 0.235562548335707,      0.136581974857907, 0.211513021624011, 0.132091194783373,      0.0706483510319072, 0.210741683871549, 0.0629474356823598,      0.179557542480515, 0.252393584019624), PROX_SUPERMARKET = c(0.350395790631763,      0.425467495913439, 0.372543253077343, 0.305647853022819,      0.392878094873427, 0.438288204779491, 0.0709823460282706,      0.121599745844786, 0.242167451420959, 0.390939423908347,      0.535956758401375, 0.174913922147584, 0.281285688066644,      0.324462496048725, 0.249780587504203, 0.0706487501399716,      0.365648379234028, 0.140831249897628, 0.223142170833011,      0.321431524942613), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 2L,      1L, 2L, 0L), WITHIN_350M_CHILDCARE = c(6L, 7L, 3L, 2L, 4L,      3L, 4L, 5L, 5L, 4L, 3L, 1L, 2L, 2L, 1L, 2L, 3L, 0L, 3L, 2L     ), WITHIN_350M_BUS = c(12L, 11L, 8L, 10L, 7L, 5L, 9L, 8L,      8L, 7L, 4L, 4L, 8L, 8L, 8L, 3L, 7L, 8L, 11L, 6L), WITHIN_1KM_PRISCH = c(1L,      1L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 3L, 4L, 1L, 2L, 2L, 2L, 2L,      1L, 2L, 2L, 5L), DNeighbour = c(0, 91.4093730334983, 679.22556814173,      682.365062295698, 689.79180981255, 705.715017491961, 728.682970757262,      781.791206985864, 909.751769817988, 1004.62382348866, 1108.55660084528,      1540.06604020139, 1567.41722718554, 1599.55656585481, 1751.58283356516,      1847.14564670572, 1906.09517290704, 1959.90839631624, 2104.41289955171,      2104.61948259711)), row.names = c("370", "344", "133", "209",      "82", "449", "829", "735", "647", "345", "950", "135", "691",      "435", "60", "802", "465", "894", "485", "628"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.996230754170807, 0.802537939412741, 0.800809763880844,      0.796697402258464, 0.787767023638202, 0.774619312314038,      0.743068484057574, 0.661209043836334, 0.59620692094926, 0.522093418853524,      0.215792277022577, 0.198333162858516, 0.178393841606591,      0.0944636802017431, 0.0527659923725448, 0.0323129473931087,      0.0176331326735331, 3.85353705407019e-08, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4655156187 
R squared (OOB):                  0.3992549 

$Forests[[371]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(452000, 510000, 485000,      450000, 458888, 460000, 422000, 455000, 468000, 420000, 440000,      460000, 475000, 430000, 426888, 390000, 425000, 382000, 323000,      520000), floor_area_sqm = c(92, 92, 95, 92, 92, 92, 92, 92,      92, 92, 92, 92, 92, 92, 92, 90, 92, 86, 90, 93), storey_order = c(2L,      5L, 5L, 3L, 4L, 3L, 2L, 4L, 4L, 2L, 2L, 5L, 2L, 1L, 1L, 5L,      4L, 2L, 1L, 5L), remaining_lease_mths = c(1133, 1133, 1141,      1136, 1130, 1137, 1132, 1136, 1124, 1139, 1136, 1136, 1126,      1134, 1141, 978, 988, 989, 983, 1147), PROX_CBD = c(12.8941535537835,      12.8180148044036, 12.8190940082697, 12.6444338023734, 12.6444338023734,      12.6444338023734, 12.6523002899419, 12.5530445309639, 12.5372560863306,      12.4951121122816, 12.6445046545469, 12.5778468618744, 12.6532888174316,      12.5852639843962, 12.5841594105866, 12.4059518996545, 12.1902934701837,      12.3082954752684, 12.0200214112876, 13.7003463440691), PROX_ELDERLYCARE = c(0.346816364720296,      0.265081039187363, 0.268492105828742, 0.0933099122535032,      0.0933099122535032, 0.0933099122535032, 0.17445131765005,      4.52036057904239e-07, 0.066903342124331, 0.0780281999502717,      0.316798451576888, 0.25879478544564, 0.373604611296459, 0.3637938018331,      0.419823195233641, 0.404564014080405, 0.362754738306624,      0.583230122785789, 0.618171206910468, 0.434917902994305),          PROX_HAWKER = c(0.172433027954251, 0.116173376637396,          0.146347761938812, 0.0943584031018698, 0.0943584031018698,          0.0943584031018698, 0.228019105088385, 0.183834631869038,          0.184899994018696, 0.227760265989261, 0.385855619963418,          0.361759384229333, 0.440383933038266, 0.45815519033126,          0.512822421809829, 0.551023632791116, 0.536726116414185,          0.732610931237137, 0.743318510800665, 1.07570104527527         ), PROX_MRT = c(0.133852264483784, 0.0414043955932523,          0.0524349257152741, 0.135663244459145, 0.135663244459145,          0.135663244459145, 0.189124878414716, 0.225183269009929,          0.250680884626282, 0.288636635543175, 0.290856617513635,          0.325317058740364, 0.24828698655044, 0.305105021876954,          0.285300897266269, 0.467412150427879, 0.364194860258715,          0.348338435446781, 0.291532437270123, 0.256932190523524         ), PROX_PARK = c(0.541994755536806, 0.594833919624026,          0.639036828502152, 0.61385987529272, 0.61385987529272,          0.61385987529272, 0.76865606278053, 0.665189387379371,          0.614568616662392, 0.64692671777276, 0.927332929158558,          0.898636927133822, 0.981635622560504, 0.998305920751222,          1.05356492524152, 1.06942514246801, 0.883674706708426,          1.248380402738, 0.871053837980522, 1.30953091682666),          PROX_GOOD_PRISCH = c(3.22227453062783, 3.15789060893291,          3.16783392704602, 2.98554640042679, 2.98554640042679,          2.98554640042679, 3.02962689364369, 2.90013878468328,          2.87119716545371, 2.83249303987555, 3.06407026512831,          2.98751376551561, 3.08870420529617, 3.02473222579279,          3.04090040576321, 2.85954585658161, 2.54749739008747,          2.82059786507503, 2.31713852475231, 4.10033714204368),          PROX_MALL = c(0.965068597681967, 0.881741038155881, 0.842111664425906,          0.835997866672575, 0.835997866672575, 0.835997866672575,          0.680457081346124, 0.801147315442336, 0.863947607104433,          0.848059510883206, 0.525247230278188, 0.550769417999913,          0.475487624694748, 0.450387082903272, 0.39575302739997,          0.423524868376446, 0.835543217968543, 0.312386349772529,          0.859289251142989, 0.816725098938654), PROX_CHAS = c(0.115846127710365,          0.0772642002388838, 0.0812086980787344, 0.102096070463208,          0.102096070463208, 0.102096070463208, 0.162820120107843,          0.0780281620295796, 0.0439945201117045, 3.19858778746232e-08,          0.312339613016365, 0.236995708134403, 0.362882313204726,          0.324614821605945, 0.369996201265779, 0.187639553192951,          0.167384851183216, 0.200650927390068, 0.310908028614088,          0.0738696133860389), PROX_SUPERMARKET = c(0.115845823699909,          0.0772646744727167, 0.0812089624400091, 0.102095775430648,          0.102095775430648, 0.102095775430648, 0.162819600148508,          0.189775839444753, 0.218453608018692, 0.255060837787685,          0.312339147167174, 0.299832635957983, 0.36465940083402,          0.389269910824952, 0.385003628727568, 0.375814638453933,          0.552359009160243, 0.200651971059786, 0.507879796624066,          0.0738703098972174), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 0L,          0L, 2L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(5L, 6L,          7L, 7L, 7L, 7L, 6L, 7L, 6L, 5L, 5L, 5L, 5L, 4L, 4L, 4L,          3L, 4L, 1L, 5L), WITHIN_350M_BUS = c(6L, 9L, 9L, 10L,          10L, 10L, 11L, 11L, 10L, 10L, 11L, 8L, 11L, 11L, 10L,          10L, 12L, 8L, 6L, 13L), WITHIN_1KM_PRISCH = c(3L, 3L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L,          3L, 6L, 4L, 3L), DNeighbour = c(0, 90.8718215965082,          124.172731217703, 248.831413025299, 251.932873908406,          252.357404564525, 316.346754203154, 347.782589317121,          350.829579522463, 393.192656346782, 439.244402075705,          450.352748461116, 486.08166973225, 528.491243008324,          572.411459282335, 657.029055209383, 700.123471711165,          829.995321991571, 906.126208902007, 922.779100307407)), row.names = c("371",      "115", "44", "166", "807", "92", "311", "764", "672", "791",      "144", "355", "759", "180", "868", "138", "783", "231", "909",      "616"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.980698900868937,      0.964113006510276, 0.85986029579178, 0.856481042264104, 0.856015751929817,      0.778761645012311, 0.736090024495246, 0.7318067687977, 0.669847371499795,      0.598182209710842, 0.580365664183665, 0.522043180316746,      0.451577658135498, 0.378486219563752, 0.2430884909523, 0.180078247101995,      0.0364758282860004, 0.00127929511687208, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1447553292 
R squared (OOB):                  0.2684149 

$Forests[[372]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(435000, 375000, 368000,      380000, 360000, 371000, 323000, 335000, 333000, 280000, 310000,      420000, 410000, 432000, 305000, 349000, 319000, 415000, 388000,      365000), floor_area_sqm = c(92, 102, 106, 105, 99, 100, 91,      100, 99, 90, 89, 92, 92, 92, 99, 103, 101, 92, 92, 92), storey_order = c(4L,      3L, 3L, 2L, 3L, 2L, 2L, 4L, 3L, 3L, 1L, 1L, 2L, 4L, 4L, 2L,      4L, 2L, 1L, 1L), remaining_lease_mths = c(1118, 932, 952,      910, 915, 918, 974, 927, 927, 958, 946, 1121, 1136, 1123,      930, 832, 950, 1125, 1134, 1135), PROX_CBD = c(17.3261487576713,      17.424297644009, 17.1751323002447, 17.589085398281, 17.6482187406162,      17.9318121245061, 16.9744532057656, 17.5934100264964, 17.6933534103443,      17.0860498579873, 17.0860498579873, 17.7152334804069, 17.7152334804069,      17.7152334804069, 17.5508688704121, 18.0642207733449, 17.1356331652512,      17.7609329148819, 17.8160591469996, 17.8160591469996), PROX_ELDERLYCARE = c(0.0820501598186151,      0.332680427012888, 0.268202380119324, 0.387351173411546,      0.399377154365588, 0.559180828327224, 0.669866762803474,      0.183364759720919, 0.174626049595048, 0.634635376150565,      0.634635376150565, 0.0982899037000713, 0.0982899037000713,      0.0982899037000713, 0.169110695114153, 0.558648465009425,      0.585213362825854, 0.0656405943898966, 0.101440000613482,      0.101440000613482), PROX_HAWKER = c(1.11394087375576, 1.2762396177499,      1.37649043343687, 0.776912813652288, 1.11261554439583, 1.18812307179958,      1.16076193719705, 0.860123145519879, 0.89059259132002, 0.984075399620173,      0.984075399620173, 0.815736811633103, 0.815736811633103,      0.815736811633103, 0.736171211400498, 1.20831273824173, 0.905166107754752,      0.769612072642938, 0.755409785256781, 0.755409785256781),          PROX_MRT = c(0.527347528775627, 0.484502150769697, 0.477350523334022,          0.371614593402704, 0.417091391951799, 0.256828620430729,          0.434229027914827, 0.675234243169572, 0.606842528225389,          0.610921595420819, 0.610921595420819, 0.674833365376197,          0.674833365376197, 0.674833365376197, 0.804998329325227,          0.387700307898407, 0.689848925621533, 0.714624513867521,          0.729659889526201, 0.729659889526201), PROX_PARK = c(1.2769930066147,          1.39102562335911, 1.53652128691969, 0.925923962472294,          1.38656874841243, 1.11695175135574, 1.94357933186421,          1.60355051242194, 1.49905344652453, 1.98249707589613,          1.98249707589613, 1.52614967260321, 1.52614967260321,          1.52614967260321, 1.71737354643835, 1.04306097562022,          2.00545012030434, 1.52091098886828, 1.49250729308795,          1.49250729308795), PROX_GOOD_PRISCH = c(8.12402124316527,          8.1609833985331, 7.92485948387043, 8.43639308613493,          8.34983568407236, 8.65275846320069, 7.64555391975429,          8.24279341902993, 8.34857469941546, 7.72567604662297,          7.72567604662297, 8.35538963357137, 8.35538963357137,          8.35538963357137, 8.17476856172454, 8.76549326341746,          7.76178719780886, 8.39120163011403, 8.44175881664207,          8.44175881664207), PROX_MALL = c(0.48073822857487, 0.394560370801339,          0.221509518429623, 0.232188905247248, 0.439097430243665,          0.417130987397582, 0.199292924769147, 0.188384425612312,          0.223321337745784, 0.314944256820634, 0.314944256820634,          0.158599011552442, 0.158599011552442, 0.158599011552442,          0.109574351562212, 0.424594513900518, 0.382407895591973,          0.147411017927622, 0.183177100903513, 0.183177100903513         ), PROX_CHAS = c(0.111581872390774, 0.265229996652697,          0.166686655025282, 0.0713809516165408, 0.414359256629807,          0.259891808560044, 0.199292963025488, 0.151781240761386,          0.21485891447712, 0.250499161266826, 0.250499161266826,          0.158598978424062, 0.158598978424062, 0.158598978424062,          0.048268048492383, 0.124680964632411, 0.257714074421561,          0.14741100268466, 0.183177099178452, 0.183177099178452         ), PROX_SUPERMARKET = c(0.111582815761828, 0.265230176390619,          0.166252253534119, 0.238177195426237, 0.441697647833666,          0.438907970807184, 0.25551504160041, 0.209139790637019,          0.218378438252518, 0.250499698074938, 0.250499698074938,          0.144345834884574, 0.144345834884574, 0.144345834884574,          0.15801430638391, 0.424593495373258, 0.257714572429151,          0.113022549454425, 0.137568853383185, 0.137568853383185         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 4L, 2L, 3L, 3L,          6L, 6L, 5L, 6L, 6L, 6L, 6L, 6L, 7L, 2L, 5L, 8L, 8L, 8L         ), WITHIN_350M_BUS = c(8L, 9L, 10L, 8L, 9L, 9L, 13L,          12L, 13L, 11L, 11L, 12L, 12L, 12L, 12L, 7L, 11L, 10L,          15L, 15L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 7L,          7L, 4L, 8L, 8L, 4L, 4L, 7L, 7L, 7L, 6L, 6L, 4L, 6L, 6L,          6L), DNeighbour = c(0, 265.077903260437, 266.672780881852,          351.962573820109, 497.705209509178, 656.718027681029,          690.809982193885, 693.640603363245, 702.63843301243,          766.155257383235, 770.936963236126, 772.777174935383,          779.273370978851, 782.248502080847, 804.187144061004,          814.635185306068, 818.537102681182, 844.709020002291,          885.363582304924, 888.897566219385)), row.names = c("372",      "736", "658", "464", "891", "976", "902", "419", "112", "704",      "685", "289", "13", "298", "438", "773", "99", "365", "53",      "402"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.830050288517897,      0.828095686736128, 0.711020652980519, 0.471278886434946,      0.206273767290183, 0.156841514965482, 0.152937708357812,      0.140754153592321, 0.0661006038885485, 0.061404003704061,      0.0596351271080206, 0.0535657351022477, 0.0508787053963825,      0.0329476314386043, 0.0256349128077882, 0.0231173850185073,      0.00939969269682822, 6.2973430738852e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1008279932 
R squared (OOB):                  0.4923405 

$Forests[[373]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(445000, 323000, 348000,      309000, 345000, 338000, 480000, 330000, 366800, 360000, 388000,      385000, 333000, 361000, 328000, 350880, 4e+05, 335000, 430000,      325000), floor_area_sqm = c(100, 92, 93, 91, 91, 93, 104,      84, 105, 103, 104, 104, 84, 84, 84, 91, 103, 84, 91, 85),          storey_order = c(3L, 2L, 4L, 2L, 3L, 5L, 2L, 3L, 2L,          1L, 3L, 4L, 3L, 4L, 4L, 2L, 3L, 2L, 4L, 1L), remaining_lease_mths = c(949,          690, 777, 774, 773, 860, 777, 791, 761, 798, 751, 740,          823, 794, 806, 785, 796, 796, 777, 830), PROX_CBD = c(9.38671442358298,          9.445702961959, 9.5834162789491, 9.64616581570663, 9.63489497584329,          9.71808261065178, 8.81196120759187, 9.73525531751342,          8.5913881835975, 10.1540744969693, 10.2659136784881,          10.2659136784881, 9.85122377146013, 10.1908965186918,          10.2439629519707, 10.3813809316332, 10.2571858212528,          10.2571858212528, 10.4167519306418, 10.1989356004427),          PROX_ELDERLYCARE = c(0.197320443098403, 0.0646727834979237,          0.221128007339761, 0.306199433665808, 0.42629854090558,          0.288600487645686, 0.68560621126507, 0.869795033999967,          0.675108088860868, 0.85844301108046, 0.737818764037149,          0.737818764037149, 0.999223533815273, 0.891997547710976,          0.904720646157319, 0.833489789321986, 0.969336561855173,          0.969336561855173, 0.852176862644424, 1.08623091115154         ), PROX_HAWKER = c(0.671765492644128, 0.802499530175562,          0.844035637065003, 0.906506968115566, 0.908741650371918,          1.10941781168001, 0.290355020850324, 0.687117415591119,          0.151496134675632, 0.614574465644474, 1.65941342147148,          1.65941342147148, 0.526313717816828, 0.594526114354717,          0.616195579705155, 1.5910354083573, 0.543600998034675,          0.543600998034675, 1.55256346901264, 0.368744432216956         ), PROX_MRT = c(0.671695564859285, 0.834535111428891,          0.679762822214213, 0.626377719466395, 0.669484450879797,          0.750225097750018, 0.425157896719621, 0.86810604264512,          0.864705124656065, 0.544743966599557, 0.684374477874155,          0.684374477874155, 0.907717901248049, 0.554399001312584,          0.52596302633555, 0.699917284291438, 0.5984056038899,          0.5984056038899, 0.686459009674335, 0.78040997284139),          PROX_PARK = c(0.409638708762546, 0.508498628446561, 0.171128410914521,          0.106198450905693, 0.197084482081202, 0.552878075981585,          0.468007817587664, 0.452373350223662, 0.545921527880028,          0.578916018382343, 0.570788416471153, 0.570788416471153,          0.510337594738446, 0.61263038213259, 0.626908579085899,          0.616002692100522, 0.690393008756984, 0.690393008756984,          0.613918856542286, 0.808282577864154), PROX_GOOD_PRISCH = c(1.96445822173508,          2.16640973416033, 1.81796659730331, 1.71137279935344,          1.59153495480405, 2.3197363622043, 2.18636815139252,          1.15234422615158, 2.65365036334729, 1.40445923276907,          2.58742850928016, 2.58742850928016, 1.05242409875061,          1.40421671412888, 1.44855804010835, 2.6286340652406,          1.38840710840139, 1.38840710840139, 2.62113030487697,          1.199846441039), PROX_MALL = c(0.704978058880463, 0.855253012280219,          0.812301361871699, 0.808294932987377, 0.873569112263515,          0.64580888250568, 0.389401354829447, 0.907839978504126,          0.81045000642783, 0.685950169481642, 0.364765391124967,          0.364765391124967, 0.756051767526383, 0.685823836221668,          0.644656189163291, 0.365493224544838, 0.638527944164543,          0.638527944164543, 0.350991485118426, 0.663851500718272         ), PROX_CHAS = c(0.181909444046462, 0.378465676389041,          0.334146331647452, 0.415210445937219, 0.454068185577158,          0.122290728478786, 0.210741683871549, 0.116614388177292,          0.0629474356823598, 0.170954716034814, 0.204257711541377,          0.204257711541377, 3.39583191183935e-08, 0.151788880767358,          0.155315138624813, 0.28517644723447, 0.0819899420632749,          0.0819899420632749, 0.302383860370021, 0.0710453772718398         ), PROX_SUPERMARKET = c(0.448356351676465, 0.234896025437738,          0.581458245406798, 0.675617328849562, 0.717910522287554,          0.190117050177684, 0.365648379234028, 0.458729641056945,          0.140831249897628, 0.171715993026927, 0.384238743245603,          0.384238743245603, 0.350225948243757, 0.152401712794372,          0.18505229065347, 0.49431722643315, 0.123486578338512,          0.123486578338512, 0.519095500550079, 0.00115080458448496         ), WITHIN_350M_KINDERGARTEN = c(2L, 3L, 1L, 1L, 0L, 0L,          2L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 1L, 1L, 2L,          3L, 2L, 0L, 2L, 6L, 6L, 3L, 2L, 1L, 6L, 2L, 2L, 6L, 4L         ), WITHIN_350M_BUS = c(9L, 10L, 7L, 8L, 5L, 6L, 7L, 10L,          8L, 14L, 8L, 8L, 10L, 12L, 10L, 10L, 10L, 10L, 9L, 12L         ), WITHIN_1KM_PRISCH = c(2L, 2L, 4L, 4L, 3L, 2L, 1L,          4L, 2L, 5L, 2L, 2L, 4L, 6L, 6L, 2L, 5L, 5L, 2L, 4L),          DNeighbour = c(0, 211.473626349354, 246.064780635886,          365.410198228282, 443.977831361168, 485.858237522188,          581.632600882465, 879.205195676597, 958.240684041974,          1014.38261288022, 1017.35988911131, 1020.3641848092,          1032.98152597579, 1048.82746510218, 1078.89825995413,          1124.31658393658, 1129.39878459002, 1132.36178909736,          1147.04873942539, 1209.3083206753)), row.names = c("373",      "67", "799", "785", "273", "624", "465", "921", "894", "560",      "77", "501", "129", "447", "668", "626", "494", "591", "480",      "967"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.939775018709722,      0.918909483782856, 0.825729397988523, 0.748593276640867,      0.7032240739861, 0.590860576717753, 0.222241770221285, 0.138474930100216,      0.08784942560142, 0.0854145758884883, 0.0829852349488836,      0.0730923562612932, 0.0614042462140438, 0.0416355676900558,      0.0183936257293341, 0.0163305467298872, 0.0151803350653184,      0.0100634391852874, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1778999166 
R squared (OOB):                  0.1257978 

$Forests[[374]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 347000, 455000,      585000, 485000, 350000, 445000, 370000, 460000, 334008, 491000,      410000, 450000, 335000, 330000, 358000, 290000, 3e+05, 345000,      415000), floor_area_sqm = c(90, 90, 99, 91, 93, 93, 93, 102,      93, 103, 92, 101, 93, 102, 103, 104, 92, 99, 90, 92), storey_order = c(3L,      2L, 2L, 10L, 10L, 3L, 7L, 3L, 7L, 2L, 9L, 3L, 4L, 4L, 2L,      4L, 4L, 1L, 5L, 2L), remaining_lease_mths = c(977, 971, 951,      995, 1112, 1018, 1117, 927, 1135, 917, 1137, 936, 1131, 940,      937, 815, 690, 697, 937, 1132), PROX_CBD = c(14.489397367385,      14.6079806280174, 14.3012013074868, 14.2059144167977, 14.8542518275748,      14.9930585550483, 14.9897790388493, 14.12564920201, 15.0332592042754,      14.2719972222741, 15.0782917837809, 13.8911800577968, 15.1194109037639,      14.4474740114555, 14.5165027597446, 14.0960645211931, 14.8961777358487,      14.8036441916204, 14.2787185061121, 14.6122009832922), PROX_ELDERLYCARE = c(0.929205058584809,      0.966138977916587, 0.93663965535868, 0.923774065318005, 0.671766786446111,      0.766085625885291, 0.622451014094897, 1.44816412197145, 0.653175957864657,      1.50921581969441, 0.811417024562957, 1.40411939431899, 0.632846087105322,      1.50338082315219, 0.389463724969334, 1.70531999087377, 0.090689252710872,      0.0965145667339982, 1.77826193055387, 1.68824062303628),          PROX_HAWKER = c(0.478869651742105, 0.31691894051251,          0.693090021451824, 0.829910539202106, 0.3485650804915,          0.230353911902381, 0.366862032582334, 0.778468578249857,          0.344843972730765, 0.684102697062058, 0.241120378832392,          0.687446499339865, 0.399490681633122, 0.588144724666333,          1.0617726338971, 0.845358517598031, 1.02395142210687,          1.07372228066705, 0.865181709866835, 0.707122679385598         ), PROX_MRT = c(0.0437298005890327, 0.188565130994124,          0.189883903502813, 0.127617925270923, 0.41695674877223,          0.545901722651448, 0.550628186781769, 0.476637705223286,          0.587916938270161, 0.347262283963267, 0.604690005035212,          0.241174931861397, 0.674936552563307, 0.224566301285939,          0.0901878473788138, 0.217341234217998, 0.437229774651496,          0.363746184676816, 0.14195902454703, 0.295449456212788         ), PROX_PARK = c(0.935596264101672, 1.07918529837209,          0.812876767906526, 0.716522496183652, 1.00246315577637,          0.937160160632966, 0.886983007034967, 1.20701221478007,          0.858154923175006, 1.38760566459916, 0.889047622652367,          0.90249149706597, 0.773048101136696, 1.55939681176166,          0.278686390612803, 1.27300714898888, 0.600185611341118,          0.497172938499345, 1.51686048726609, 1.76906915549279         ), PROX_GOOD_PRISCH = c(5.1963266927986, 5.35450137646782,          4.98177209241419, 4.85056771881294, 5.49301939379528,          5.6774973866509, 5.61521578968116, 5.06260566207177,          5.67093979106873, 5.26118802945754, 5.77803713337603,          4.74545729482833, 5.74516136190441, 5.45861643017911,          4.93093863547281, 5.17863906457975, 5.28070608730985,          5.17691715074399, 5.42826997650874, 5.7298925008129),          PROX_MALL = c(0.345992784345898, 0.479398555662368, 0.236735170365795,          0.148456555084967, 0.497662931100388, 0.691703794200818,          0.615054651957031, 0.287395381957405, 0.671424081833306,          0.108121271181015, 0.79347213158724, 0.267645090747045,          0.744876648240093, 0.12145856762689, 0.38830118917563,          0.243284841315127, 0.252669380741675, 0.278400001713995,          0.338911837083335, 0.426875162675013), PROX_CHAS = c(3.77135010377852e-08,          0.166948923507452, 0.214782230853987, 0.148456588323488,          0.139715392485403, 0.094086780959658, 0.101756162724623,          0.182188888557241, 0.0438337826764906, 0.108121286081234,          0.128222338920945, 0.241761013919413, 0.0812821875339188,          0.121458549123021, 0.0918929757518676, 0.132339190026647,          0.252669404800451, 0.190291087196022, 0.18872293939054,          0.270793953405505), PROX_SUPERMARKET = c(0.31785895032531,          0.218811722485387, 0.172194506074768, 0.154204342539502,          0.118312809115248, 0.189746195069109, 0.215874380558773,          0.277268812686258, 0.238848984717478, 0.105248463653719,          0.286089695736963, 0.315435463566428, 0.325050502595441,          0.134916350552101, 0.354026220875794, 0.226949559622758,          0.186322037460738, 0.190291125096353, 0.188722783027928,          0.270794118098451), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 2L, 1L, 1L, 0L, 1L, 1L,          1L, 1L, 1L, 2L, 0L), WITHIN_350M_CHILDCARE = c(5L, 2L,          6L, 7L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 5L, 5L, 7L,          3L, 3L, 6L, 5L), WITHIN_350M_BUS = c(13L, 13L, 15L, 17L,          11L, 11L, 11L, 10L, 10L, 10L, 10L, 15L, 12L, 11L, 7L,          9L, 7L, 9L, 8L, 6L), WITHIN_1KM_PRISCH = c(5L, 5L, 3L,          3L, 4L, 4L, 3L, 5L, 3L, 5L, 4L, 5L, 3L, 5L, 2L, 5L, 3L,          3L, 4L, 4L), DNeighbour = c(0, 162.258255454559, 217.422014680596,          354.594630953157, 374.772680874324, 505.898362595191,          510.201009211129, 543.897395300484, 547.993189373385,          587.303614654753, 596.734042398203, 623.049471989905,          634.555243100796, 643.231033624687, 720.305058542135,          784.311468833914, 851.369030547492, 857.827978570239,          881.434461286941, 908.066780840105)), row.names = c("374",      "385", "717", "146", "159", "836", "500", "703", "865", "381",      "568", "599", "299", "826", "592", "880", "87", "995", "329",      "489"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.937162498614411,      0.888629338945549, 0.718280717074268, 0.688346368810801,      0.475578463213738, 0.468293880501483, 0.411194706699903,      0.404268508322028, 0.338372754190132, 0.322802187927957,      0.280083580359785, 0.261817820621867, 0.248240374585861,      0.137483358613308, 0.0645136205180006, 0.0146354929373849,      0.0115754273988156, 0.00334049511293619, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5375166468 
R squared (OOB):                  0.05788221 

$Forests[[375]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(688000, 472000, 530000,      805000, 552000, 438888, 620000, 580000, 820000, 825000, 8e+05,      750000, 755000, 680000, 840000, 685000, 680000, 375000, 355000,      660000), floor_area_sqm = c(85, 84, 111, 104, 100, 80, 102,      100, 87, 87, 90, 90, 90, 85, 87, 85, 91, 82, 82, 90), storey_order = c(4L,      2L, 1L, 3L, 1L, 4L, 3L, 4L, 9L, 5L, 7L, 11L, 5L, 2L, 14L,      4L, 3L, 3L, 2L, 10L), remaining_lease_mths = c(964, 799,      767, 919, 910, 601, 908, 1013, 1136, 1136, 1063, 1035, 1038,      1066, 1141, 1038, 984, 645, 656, 993), PROX_CBD = c(3.98134497452694,      4.27761841825855, 4.3501519248406, 4.1456930527125, 4.64904487497998,      3.37234644442932, 4.95292174150019, 4.79843685927635, 4.59114385332588,      4.59114385332588, 2.97610984462207, 4.88070069409732, 4.88070069409732,      2.96405104980333, 4.70219035054856, 4.89531124268982, 2.86455481676114,      3.68559345068932, 3.73116287154914, 5.00856672458725), PROX_ELDERLYCARE = c(0.168717999980802,      0.0937624362906392, 0.203630745919553, 0.45180890917037,      0.374326446996408, 0.401810150563083, 0.0718437191527097,      0.72206466606869, 0.125633226962327, 0.125633226962327, 0.249991250520312,      0.312658206579851, 0.312658206579851, 0.206690358794928,      0.200702517977741, 0.307888742732217, 0.111411798512938,      0.466665237090727, 0.501456868829436, 0.403456137693205),          PROX_HAWKER = c(0.262344394473714, 0.566432501893156,          0.509657348502929, 0.668394095052703, 0.28049665267082,          0.449139985411189, 0.126776661941161, 0.669525197575465,          0.762382071136897, 0.762382071136897, 0.405863058813757,          0.595417483526792, 0.595417483526792, 0.344572110572533,          0.646528219825606, 0.546104933523636, 0.302651224916382,          0.28293755865871, 0.311969910328466, 0.327438715714418         ), PROX_MRT = c(0.310254962870727, 0.40356540460373,          0.533693046359433, 0.413017272318271, 0.763812758173444,          0.537190991659238, 0.804865461788644, 1.13446368103879,          0.586728793826683, 0.586728793826683, 0.337225216160626,          0.314337158810329, 0.314337158810329, 0.377919714857806,          0.491479629856663, 0.275254866694397, 0.391395986196982,          1.17490863944549, 1.10221151459309, 0.699181106494864         ), PROX_PARK = c(0.894232249415992, 1.11098670131371,          0.941534540217125, 1.16828897329218, 1.08394438059851,          0.408351250353425, 0.908868407872405, 0.279857584881724,          1.65596921250538, 1.65596921250538, 0.4671588721782,          1.53366372097489, 1.53366372097489, 0.495024008458079,          1.77379186206272, 1.60860995669454, 0.399002951856213,          0.304435062988112, 0.271761978726623, 0.344858191728297         ), PROX_GOOD_PRISCH = c(3.868083844602, 3.63213704613537,          3.77462248476967, 3.20846684942761, 3.57098970158234,          3.70512913004722, 3.66355651606602, 4.40925832010736,          2.86977258716747, 2.86977258716747, 4.56048774292729,          3.0451226436528, 3.0451226436528, 4.62297298452196, 2.79995758206102,          2.96671225712824, 4.71207116352008, 5.15997579188296,          5.22570836776045, 4.86324650242379), PROX_MALL = c(1.18273225000282,          0.890632544268956, 0.812522711759855, 1.18405339004253,          0.528365937160055, 0.743612757274357, 0.209686974260184,          0.830412122132217, 0.992224857230604, 0.992224857230604,          0.362094853274792, 0.63262312230698, 0.63262312230698,          0.404565296260845, 0.970860317849455, 0.696065710972082,          0.420489734799516, 1.3376464242075, 1.41171259857663,          1.20968740927381), PROX_CHAS = c(0.145112311632742, 0.116543108560641,          0.237239443458304, 0.401816380076581, 0.251376462502101,          0.499618186459994, 0.176171654931402, 0.120011087306801,          0.156405874770629, 0.156405874770629, 0.111500209373212,          0.278004299073392, 0.278004299073392, 0.0506108453744785,          0.0639130956899198, 0.22404402777184, 0.110042750971165,          0.216565147674259, 0.261237260735983, 0.358299181925541         ), PROX_SUPERMARKET = c(0.252387257990654, 0.205058734443685,          0.125937465506006, 0.431453687618191, 0.311533400888457,          0.499617451823641, 0.176171398022836, 0.0907294343182455,          0.156405662038775, 0.156405662038775, 0.111500172768761,          0.278004958714438, 0.278004958714438, 0.0506107476035619,          0.0639125072278545, 0.224044642536509, 0.110042446678578,          0.252487697752149, 0.301923436189205, 0.395196557309087         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 1L, 0L, 0L,          2L, 0L, 0L, 0L, 1L, 5L, 5L, 0L, 2L, 5L, 0L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 5L, 5L, 1L, 2L, 2L,          1L, 2L, 3L, 3L, 3L, 5L, 5L, 3L, 4L, 4L, 4L, 3L, 3L, 1L         ), WITHIN_350M_BUS = c(12L, 14L, 13L, 7L, 12L, 8L, 7L,          6L, 7L, 7L, 4L, 8L, 8L, 7L, 7L, 9L, 7L, 10L, 9L, 7L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L,          1L, 1L, 3L, 1L, 1L, 4L, 1L, 1L, 4L, 2L, 2L, 1L), DNeighbour = c(0,          346.857395380655, 364.062557002494, 659.934769353786,          691.446555202215, 727.120682634603, 978.65743054235,          995.15191583252, 1054.35380282915, 1058.37468971938,          1109.76422529112, 1113.37178306668, 1115.28900069681,          1145.51540155651, 1159.39100902769, 1167.22891720383,          1265.82889850449, 1310.70379865055, 1375.20585891759,          1410.14527174391)), row.names = c("375", "709", "348",      "320", "140", "69", "216", "610", "768", "333", "319", "39",      "982", "389", "854", "916", "968", "683", "432", "515"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.882655320652527, 0.871135299522271, 0.609937216270807,      0.576945855659888, 0.538932520379266, 0.268684285003393,      0.251979002353936, 0.194443288574018, 0.190693943269161,      0.144897040884324, 0.141842791682482, 0.14022887679267, 0.115672117393606,      0.104990676780442, 0.0991318104553356, 0.0377172156199719,      0.0185135020772367, 0.00239516637076177, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       13072528275 
R squared (OOB):                  0.4303951 

$Forests[[376]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(498000, 589000, 532000,      550000, 520000, 550000, 510000, 535000, 545000, 455000, 490000,      455000, 495000, 395000, 398000, 437000, 415000, 432000, 460000,      4e+05), floor_area_sqm = c(93, 96, 96, 98, 93, 95, 97, 93,      93, 92, 95, 93, 93, 90, 93, 93, 93, 93, 92, 92), storey_order = c(2L,      6L, 4L, 4L, 4L, 4L, 2L, 4L, 5L, 4L, 2L, 5L, 5L, 1L, 1L, 2L,      2L, 5L, 2L, 1L), remaining_lease_mths = c(1102, 1111, 1111,      1103, 1118, 1115, 1104, 1118, 1127, 1133, 1111, 1138, 1080,      997, 1077, 1076, 1071, 1129, 1137, 1131), PROX_CBD = c(13.8269911518463,      13.8838492138892, 13.8842234613226, 13.7784857598507, 13.7912064237251,      13.9206851659757, 13.7787547800329, 13.8964286142315, 13.8964286142315,      13.5263069451707, 13.7780295697528, 13.5153222954464, 14.2035293519974,      13.4480864429089, 14.2040057462849, 14.2040057462849, 14.2040057462849,      13.4495242740615, 13.9481332653994, 13.9748767742628), PROX_ELDERLYCARE = c(0.272443342502121,      0.321249151015697, 0.284905700992106, 0.303554199654945,      0.194902312085005, 0.410984632703067, 0.357313426679343,      0.28821019895416, 0.28821019895416, 0.13293861465481, 0.24280876806526,      0.128038783583345, 0.685279068417721, 0.38095926022983, 0.732225931930739,      0.732225931930739, 0.732225931930739, 0.226392675254826,      0.108372417523696, 0.0869602171534455), PROX_HAWKER = c(0.718894335359525,      0.661984274687099, 0.667389882084889, 0.771130061467184,      0.761066408094757, 0.63246529422046, 0.779750574682814, 0.700607063348248,      0.700607063348248, 1.0232116664491, 0.855348356505915, 1.06471945671836,      0.384064154962602, 1.11021170000921, 0.429643877236979, 0.429643877236979,      0.429643877236979, 1.13086059974118, 0.783686601130967, 0.759405218095962     ), PROX_MRT = c(0.250191496834268, 0.202599849124069, 0.172676244118343,      0.334453451125385, 0.263976344610204, 0.247793554682504,      0.373119808041594, 0.214342865325431, 0.214342865325431,      0.529059791722705, 0.290902656750774, 0.531733722241289,      0.289240493397468, 0.436627689790507, 0.339881548667158,      0.339881548667158, 0.339881548667158, 0.537207200764636,      0.146013494832411, 0.16215489673441), PROX_PARK = c(1.00953333913803,      0.953674473627188, 0.946790994443363, 1.07038952907209, 1.03946212768551,      0.9355470513087, 1.07510958061046, 0.945155408432775, 0.945155408432775,      1.00320858387115, 1.08412864631293, 1.12627074536918, 0.69423802629866,      0.782217598170287, 0.735378016798131, 0.735378016798131,      0.735378016798131, 1.14705623529365, 0.964943529987853, 0.93793434477989     ), PROX_GOOD_PRISCH = c(4.43409233459216, 4.48950135049007,      4.46427355245829, 4.41640053984819, 4.37243865161908, 4.55661004860153,      4.43794264479214, 4.42474408393319, 4.42474408393319, 4.12550653324601,      4.27934963146811, 4.05859518452173, 4.84858590291698, 4.1394886986689,      4.87692111553996, 4.87692111553996, 4.87692111553996, 3.97306691053722,      4.41058426346667, 4.4381077472328), PROX_MALL = c(0.464449368072494,      0.415387276861254, 0.384398044205003, 0.546157830895501,      0.47180896375681, 0.441605558767423, 0.579723774298741, 0.36232957329041,      0.36232957329041, 0.734460127270614, 0.507308338763366, 0.741140095950697,      0.37351280301214, 0.747053206605742, 0.458083927679449, 0.458083927679449,      0.458083927679449, 0.817008429043632, 0.431747484707969,      0.408666125180857), PROX_CHAS = c(0.093713435160417, 0.130388475133542,      0.0936868185767241, 0.171232412843018, 3.14247486029477e-08,      0.230184731543739, 0.2330532561781, 0.190952462752685, 0.190952462752685,      0.164485608616764, 0.246000912873009, 0.0484693686848179,      0.170907589664044, 0.419877338676521, 0.0920652608940773,      0.0920652608940773, 0.0920652608940773, 0.142936854782623,      0.0812590805558053, 0.0955424375353944), PROX_SUPERMARKET = c(0.0937132175773042,      0.130388583033251, 0.093687407280864, 0.171231859107883,      8.52808058992138e-07, 0.23018467784701, 0.233052713938452,      0.190953240917096, 0.190953240917096, 0.265115106421715,      0.271122867675942, 0.321659607097496, 0.170908382081647,      0.428569074432488, 0.0920659899308881, 0.0920659899308881,      0.0920659899308881, 0.417643104955167, 0.194128300134642,      0.205979542456043), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L,      0L, 2L, 2L), WITHIN_350M_CHILDCARE = c(5L, 3L, 3L, 5L, 4L,      4L, 4L, 4L, 4L, 5L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 3L, 3L, 4L     ), WITHIN_350M_BUS = c(8L, 9L, 7L, 7L, 8L, 13L, 11L, 9L,      9L, 2L, 9L, 6L, 9L, 4L, 9L, 9L, 9L, 5L, 7L, 6L), WITHIN_1KM_PRISCH = c(5L,      5L, 5L, 6L, 5L, 5L, 8L, 5L, 5L, 6L, 6L, 5L, 5L, 7L, 5L, 5L,      5L, 4L, 4L, 4L), DNeighbour = c(0, 52.8008866862409, 92.661017880851,      95.5593923149276, 97.1738567455993, 139.264306394208, 154.861321062116,      258.416565360118, 261.150286467559, 320.546699818084, 366.993048804995,      405.227792329189, 414.324837247565, 417.909138274602, 452.76574755588,      454.27373823567, 456.554619946862, 498.765893357952, 498.843193024172,      506.99452676818)), row.names = c("376", "723", "670", "837",      "420", "516", "549", "760", "442", "779", "282", "183", "66",      "655", "448", "911", "272", "988", "34", "690"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.978425324979621, 0.934309445520211, 0.930211058370022,      0.927877456878281, 0.854788251604615, 0.822105772842903,      0.547900458010563, 0.539750678515243, 0.360313758357611,      0.226601444889137, 0.130436753639337, 0.110327234050849,      0.102752612686684, 0.0409988912163135, 0.0388722716033116,      0.035750589691879, 0.00103664826964994, 0.00101741960574934,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3254561826 
R squared (OOB):                  0.04829977 

$Forests[[377]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 380000, 295000,      365000, 359000, 398000, 280000, 310000, 418000, 308000, 355000,      3e+05, 355000, 350000, 380000, 395000, 380000, 412000, 390000,      327000), floor_area_sqm = c(104, 108, 83, 103, 103, 104,      84, 84, 104, 84, 104, 85, 104, 93, 92, 93, 93, 92, 92, 84     ), storey_order = c(1L, 2L, 1L, 4L, 1L, 3L, 4L, 2L, 1L, 1L,      2L, 4L, 4L, 1L, 2L, 4L, 3L, 3L, 4L, 1L), remaining_lease_mths = c(808,      807, 812, 805, 799, 823, 809, 787, 794, 779, 785, 798, 814,      1111, 1142, 1108, 1110, 1128, 1142, 802), PROX_CBD = c(14.2674761918172,      14.3069689320192, 14.136177090114, 14.5082496767788, 14.1470244070667,      14.4215550437188, 14.5514247745221, 14.7686155241139, 14.6249352309891,      14.8104288104214, 14.7946380504301, 14.6468242567931, 14.9797222810306,      14.6221320584002, 14.4940333615496, 14.6649260398624, 14.607628567626,      14.5596883563906, 14.5596883563906, 15.395293903354), PROX_ELDERLYCARE = c(1.37520258101488,      1.30284795398611, 1.52241617566094, 1.0960579077266, 1.73443513584582,      0.933706769700102, 0.934928905143492, 1.18091019396193, 1.66362706878828,      1.14385816982861, 1.02543356664281, 0.791783477476035, 1.40865121451131,      0.410896008057539, 0.500918112427577, 0.374463671675583,      0.363539264939185, 0.399519357429504, 0.399519357429504,      1.48326161455178), PROX_HAWKER = c(1.3725902814614, 1.30042856091519,      1.5304212921709, 1.06968967826483, 1.71810403079302, 0.964097104531415,      0.920905853639359, 1.07995965555937, 1.46189875323845, 1.03493347869974,      0.927587772885235, 0.771377618176498, 1.17708155532767, 0.55845452984231,      0.682637638745144, 0.515424723672587, 0.571839614015762,      0.625641729464286, 0.625641729464286, 0.763118949388798),          PROX_MRT = c(0.392323251912074, 0.431073100471927, 0.407136749273107,          0.541381135472874, 0.316955810938843, 0.766580328668093,          0.702240402731505, 0.495669019430354, 0.177135615746217,          0.547659244513397, 0.635923545376501, 0.834242720427877,          0.541117453484526, 1.30119397664661, 1.32800225952209,          1.31347134818138, 1.42703012637354, 1.46473462254762,          1.46473462254762, 0.486709870425329), PROX_PARK = c(0.808406007535371,          0.87843358408359, 0.646645557650639, 0.854937524579578,          0.521638252737905, 0.786856267919922, 0.717751277212032,          0.837021679605882, 0.967683324465338, 0.79060261488636,          0.687013904416796, 0.572284771964545, 0.869949400509587,          0.524601749565547, 0.65941869562705, 0.48594234877488,          0.592644125813336, 0.656743209310805, 0.656743209310805,          0.736647900507106), PROX_GOOD_PRISCH = c(4.71060068854172,          4.7599521059868, 4.56541244462189, 4.9821455258424, 4.5417585858835,          4.94298421634201, 5.05486565817651, 5.21242267662931,          5.00900650468442, 5.2589313064801, 5.2635668385575, 5.17213285521296,          5.38873705701154, 5.26427170666348, 5.15263130971644,          5.30673314037113, 5.28617698570013, 5.25302892838613,          5.25302892838613, 5.79164197089728), PROX_MALL = c(0.598720745421956,          0.530519583310388, 0.730402721918488, 0.395836928017505,          0.958986678954386, 0.158055972255249, 0.264439990658005,          0.644074766251318, 1.02277508016934, 0.641907311269237,          0.540570027720398, 0.253080993480643, 0.857174016474006,          0.412850725186958, 0.407798057490129, 0.439421746266814,          0.523782484457491, 0.550646738699849, 0.550646738699849,          0.561468969675593), PROX_CHAS = c(0.0989632897848068,          0.141608811196257, 0.0978085819739089, 0.111998728732921,          0.262672355720334, 0.110909163864147, 0.0412741280494288,          0.305551557127515, 0.253202817693943, 0.273160540123658,          0.151656769473437, 0.118994056415591, 0.0593781975043205,          0.0938393111767789, 0.0559452214520875, 0.0969357032130768,          0.198893245072118, 0.19650938121062, 0.19650938121062,          0.1019571402223), PROX_SUPERMARKET = c(0.13781747249929,          0.179396317901182, 0.152757697669253, 0.321173728185784,          0.246179282205813, 0.155031856949385, 0.259076961683863,          0.397697747354111, 0.177136085505812, 0.406551385550075,          0.505826018716947, 0.246822057901315, 0.101389584423307,          0.0938384818523742, 0.202112654374605, 0.0969351949685631,          0.223766299699327, 0.27843134046436, 0.27843134046436,          0.0953919744611677), WITHIN_350M_KINDERGARTEN = c(3L,          2L, 3L, 0L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L,          1L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(7L, 7L,          7L, 4L, 4L, 3L, 4L, 3L, 1L, 2L, 5L, 5L, 3L, 6L, 4L, 6L,          4L, 3L, 3L, 2L), WITHIN_350M_BUS = c(6L, 7L, 7L, 8L,          6L, 10L, 7L, 8L, 9L, 7L, 8L, 9L, 10L, 9L, 9L, 8L, 7L,          7L, 7L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L,          2L, 2L, 3L, 2L, 4L, 3L, 3L, 4L, 4L, 3L, 4L, 4L, 4L, 4L,          4L), DNeighbour = c(0, 76.1219677169463, 161.27411157185,          311.731588098081, 368.426558267465, 443.141866406577,          450.947688776309, 509.40814299572, 551.644288712119,          555.197543153416, 568.128948326788, 600.691524970792,          739.95029953635, 1005.46340709482, 1006.94659886773,          1023.02851314382, 1115.88877655066, 1143.48830039805,          1148.2707883441, 1164.03052663358)), row.names = c("377",      "341", "665", "884", "636", "546", "253", "101", "30", "396",      "424", "862", "984", "324", "702", "17", "452", "961", "163",      "556"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.991465233620205,      0.96197736771874, 0.861706026093814, 0.809679315569329, 0.731145542003903,      0.722363554009447, 0.653647830151248, 0.601261391789014,      0.596768445943465, 0.580319734705397, 0.53831289781795, 0.355110659947984,      0.0644593133779633, 0.0633456095738908, 0.051798139806689,      0.00656183370488977, 0.00122384957889221, 0.000723318171030655,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2189254584 
R squared (OOB):                  -0.3194639 

$Forests[[378]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 380000, 380000,      370000, 416000, 370000, 380000, 336000, 320000, 340000, 326000,      325000, 308000, 348000, 335000, 362000, 338000, 303888, 355000,      370000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 93, 90,      91, 90, 101, 90, 90, 95, 90, 94, 94, 90, 94, 95), storey_order = c(2L,      2L, 2L, 4L, 6L, 1L, 2L, 2L, 1L, 4L, 1L, 4L, 2L, 1L, 5L, 4L,      2L, 5L, 4L, 5L), remaining_lease_mths = c(1135, 1136, 1132,      1142, 1132, 1125, 1134, 966, 980, 1011, 942, 973, 948, 968,      998, 976, 1076, 1008, 1070, 977), PROX_CBD = c(18.1376577985599,      18.1376577985599, 18.1279148711176, 18.1918996486136, 18.2305685201872,      18.2305685201872, 18.2143914696608, 18.263890012402, 18.4122801485573,      18.5954829873069, 17.6460086713989, 18.5353901232527, 17.5548574672099,      18.0323194354466, 18.976831626196, 18.3273029006797, 18.893500205596,      19.0279685600245, 18.9417612550563, 18.2449080671561), PROX_ELDERLYCARE = c(2.49441526227585,      2.49441526227585, 2.51087611030153, 2.49884668013329, 2.5602844754638,      2.5602844754638, 2.48612553786713, 2.93603771613334, 3.05606256580079,      3.21245115339435, 2.69583292953839, 3.18651864771223, 2.64072586785555,      2.88259030935981, 3.28231449363414, 2.7120525382807, 3.10102691254995,      3.26154359027314, 3.09832013994742, 2.54228790651909), PROX_HAWKER = c(0.528296501129656,      0.528296501129656, 0.487567663506197, 0.600683099416637,      0.555435817196439, 0.555435817196439, 0.65924673205969, 0.135415800319106,      0.284310921582288, 0.468862715548992, 0.543702723258422,      0.491879726860981, 0.624754154933827, 0.459055170630849,      0.923592674397851, 0.729165861663657, 0.926259022488312,      0.990561993667382, 0.981837341088666, 0.859760115655931),          PROX_MRT = c(0.789676869843372, 0.789676869843372, 0.74928998522808,          0.859544339931905, 0.810957189319413, 0.810957189319413,          0.88189566435518, 0.269488316579814, 0.34633408104891,          0.485913485771313, 0.514213843772978, 0.375479822529604,          0.605396305517498, 0.228324090957444, 0.822784932057268,          0.470919202147399, 0.777214903782309, 0.880588410111357,          0.831940647091921, 0.597257652192269), PROX_PARK = c(0.276326305891841,          0.276326305891841, 0.317511189836545, 0.210024151789668,          0.269300347674678, 0.269300347674678, 0.161329073171627,          0.826451671225411, 0.872887750975024, 0.966363588730214,          0.873328686748902, 1.15334089580929, 0.801838254358626,          1.25712692932115, 1.4431849310919, 1.51959638840156,          1.53153013283021, 1.5140651316136, 1.58031197441792,          1.66089445329223), PROX_GOOD_PRISCH = c(8.50873818737911,          8.50873818737911, 8.49670627721454, 8.56698720173726,          8.60245346442475, 8.60245346442475, 8.59299650088468,          8.61262144573917, 8.76068312560123, 8.94334048589707,          7.99076792195858, 8.87993213136606, 7.89964805631792,          8.37645219680457, 9.32093903042593, 8.6741083827629,          9.23793284137011, 9.37202430611723, 9.2863930262578,          8.59525181849715), PROX_MALL = c(0.814982856398022, 0.814982856398022,          0.819155488013484, 0.849415447505653, 0.89702383385846,          0.89702383385846, 0.861156548991099, 0.374925429890344,          0.458641270318743, 0.594166870248601, 0.441435937338541,          0.460655941356388, 0.456293365362214, 0.12060760008054,          0.897736377807805, 0.437943127987326, 0.833273819621717,          0.951179576311185, 0.886414086630636, 0.537890109309282         ), PROX_CHAS = c(0.0547102897319272, 0.0547102897319272,          0.0462043949149095, 0.110754204684376, 0.080524556228062,          0.080524556228062, 0.170239874320939, 0.0541347282504724,          0.182706372800723, 0.186588167457245, 0.441435968696221,          0.165734202429707, 0.456293399812874, 0.120607657412939,          0.237819060284531, 0.319053536773146, 0.143741090403558,          0.184556275618948, 0.0880613138842689, 0.274147949012332         ), PROX_SUPERMARKET = c(0.504768063926141, 0.504768063926141,          0.467157902200199, 0.565642852259794, 0.512175097136782,          0.512175097136782, 0.532940464268134, 0.0541355525390397,          0.182706945219403, 0.195869762300225, 0.446325988440648,          0.167679568764744, 0.425112192123464, 0.119017844673248,          0.322795161753339, 0.198027823348086, 0.218188374485768,          0.3125742651816, 0.175726554209016, 0.161035318973668         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 2L, 2L, 1L, 2L, 1L, 2L, 3L, 0L, 2L, 2L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L, 2L, 3L, 3L,          3L, 5L, 7L, 4L, 2L, 7L, 2L, 4L, 4L, 6L, 4L, 2L, 4L, 4L         ), WITHIN_350M_BUS = c(10L, 10L, 10L, 6L, 7L, 7L, 6L,          11L, 12L, 10L, 11L, 12L, 8L, 14L, 9L, 12L, 8L, 6L, 8L,          9L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          4L, 5L, 5L, 3L, 5L, 2L, 4L, 4L, 5L, 4L, 4L, 4L, 5L),          DNeighbour = c(0, 11.2606461819877, 46.05128966573, 83.6696034243402,          99.1098304058403, 101.882183897025, 143.435909720319,          561.74731862199, 624.970148987961, 744.249431262292,          910.162151812628, 912.920253180388, 963.073539369301,          984.97367631698, 1246.57177756509, 1251.60801552768,          1310.00770847861, 1318.19176180584, 1359.83179595015,          1392.94557698021)), row.names = c("378", "285", "461",      "600", "401", "770", "790", "548", "722", "901", "456", "838",      "514", "354", "915", "873", "745", "570", "932", "5"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999869300437827, 0.997815219110163, 0.992797007816021,      0.989900625835078, 0.989329249535592, 0.978905518936567,      0.70118032835533, 0.637916894883429, 0.510545370760998, 0.32839505882727,      0.325431637288713, 0.272457907644293, 0.249987397542721,      0.0396496301642764, 0.0371093492288262, 0.0133489229053731,      0.0109102114275246, 0.00220710568926708, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       530256034 
R squared (OOB):                  0.3353927 

$Forests[[379]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(810000, 745000, 795888,      4e+05, 530000, 8e+05, 566888, 533000, 685000, 649888, 755000,      750000, 840000, 408000, 825000, 820000, 620000, 552000, 413888,      805000), floor_area_sqm = c(90, 90, 95, 92, 118, 105, 88,      88, 85, 87, 90, 90, 87, 84, 87, 87, 102, 100, 88, 104), storey_order = c(10L,      7L, 7L, 1L, 2L, 6L, 8L, 1L, 4L, 3L, 5L, 11L, 14L, 6L, 5L,      9L, 3L, 1L, 2L, 3L), remaining_lease_mths = c(1045, 1057,      1140, 555, 594, 938, 650, 653, 1038, 1103, 1038, 1035, 1141,      647, 1136, 1136, 908, 910, 668, 919), PROX_CBD = c(5.99670752478149,      6.0390103189171, 6.26284978479934, 5.99479776583207, 6.1023364257416,      6.53309552941355, 6.76124856282603, 6.92829321613491, 4.89531124268982,      7.02256530608061, 4.88070069409732, 4.88070069409732, 4.70219035054856,      5.38657645344473, 4.59114385332588, 4.59114385332588, 4.95292174150019,      4.64904487497998, 7.88501742637481, 4.1456930527125), PROX_ELDERLYCARE = c(0.788986586736525,      0.798119493593788, 0.69800247969724, 0.420516157550055, 0.14668864145384,      0.112238297630375, 0.20742531007413, 0.389684735109723, 0.307888742732217,      0.467453442926814, 0.312658206579851, 0.312658206579851,      0.200702517977741, 0.465891927060243, 0.125633226962327,      0.125633226962327, 0.0718437191527097, 0.374326446996408,      0.487583248392117, 0.45180890917037), PROX_HAWKER = c(0.199496524550099,      0.151348144296069, 0.130331819855385, 0.295460487376037,      0.107292567178633, 0.357983508144609, 0.171967883722699,      0.133504850959355, 0.546104933523636, 0.207247650371579,      0.595417483526792, 0.595417483526792, 0.646528219825606,      0.351855498276287, 0.762382071136897, 0.762382071136897,      0.126776661941161, 0.28049665267082, 0.645875214067525, 0.668394095052703     ), PROX_MRT = c(0.226103982865864, 0.225262429159589, 0.132116935816272,      0.305306521480229, 0.649340944892975, 0.404028215814371,      0.31120761671675, 0.407218977151475, 0.275254866694397, 0.409658939160285,      0.314337158810329, 0.314337158810329, 0.491479629856663,      0.675587286197546, 0.586728793826683, 0.586728793826683,      0.804865461788644, 0.763812758173444, 0.707952731476156,      0.413017272318271), PROX_PARK = c(0.97332058707081, 0.921128796109604,      0.742212481577902, 0.990750186553446, 0.711925115709351,      0.407986988455317, 0.273246118986377, 0.377410917604964,      1.60860995669454, 0.380160428577633, 1.53366372097489, 1.53366372097489,      1.77379186206272, 1.05249384295472, 1.65596921250538, 1.65596921250538,      0.908868407872405, 1.08394438059851, 0.511064020035708, 1.16828897329218     ), PROX_GOOD_PRISCH = c(2.41026804261554, 2.45094763896652,      2.39901634170637, 2.01228232098645, 1.64363723354824, 1.86607127862969,      1.9155109693321, 2.0639866413545, 2.96671225712824, 2.07008813823767,      3.0451226436528, 3.0451226436528, 2.79995758206102, 3.52335384407219,      2.86977258716747, 2.86977258716747, 3.66355651606602, 3.57098970158234,      2.82520953766913, 3.20846684942761), PROX_MALL = c(1.14826594162738,      1.15586968043917, 0.965908348364742, 0.848644658978131, 0.58741271025502,      0.26702131219094, 0.191774654856939, 0.352244010010256, 0.696065710972082,      0.395390786334096, 0.63262312230698, 0.63262312230698, 0.970860317849455,      0.184401966361696, 0.992224857230604, 0.992224857230604,      0.209686974260184, 0.528365937160055, 0.535655644340599,      1.18405339004253), PROX_CHAS = c(0.157172829578474, 0.103484302768675,      0.0879111496245458, 0.262677718190406, 0.142011209366223,      0.144966662256637, 0.19177461752976, 0.180332756228222, 0.22404402777184,      0.278446199404133, 0.278004299073392, 0.278004299073392,      0.0639130956899198, 0.131272369045618, 0.156405874770629,      0.156405874770629, 0.176171654931402, 0.251376462502101,      0.102679570293108, 0.401816380076581), PROX_SUPERMARKET = c(0.212384620357781,      0.198926203527595, 0.0879117778441782, 0.3581952061826, 0.585686837888717,      0.26343506825427, 0.113049768890948, 0.0762755382886037,      0.224044642536509, 0.0888694671696128, 0.278004958714438,      0.278004958714438, 0.0639125072278545, 0.182486832055582,      0.156405662038775, 0.156405662038775, 0.176171398022836,      0.311533400888457, 0.158953339299884, 0.431453687618191),          WITHIN_350M_KINDERGARTEN = c(3L, 3L, 2L, 1L, 1L, 1L,          1L, 1L, 5L, 0L, 5L, 5L, 2L, 1L, 0L, 0L, 2L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 1L, 2L, 5L,          4L, 5L, 4L, 3L, 5L, 5L, 4L, 1L, 3L, 3L, 1L, 2L, 1L, 1L         ), WITHIN_350M_BUS = c(10L, 9L, 5L, 8L, 5L, 3L, 8L, 7L,          9L, 10L, 8L, 8L, 7L, 8L, 7L, 7L, 7L, 12L, 5L, 7L), WITHIN_1KM_PRISCH = c(1L,          1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L,          1L, 2L, 2L, 1L, 2L), DNeighbour = c(0, 54.4625940037526,          278.478285160221, 398.171271763626, 794.234480137926,          879.488289192258, 1080.27973764581, 1171.75805812865,          1229.15067479162, 1274.88827094739, 1279.09624645455,          1281.02321131942, 1325.97062625239, 1338.92414144537,          1441.7280090063, 1446.72657091071, 1684.68328836582,          1780.76776670451, 1904.89626495275, 1926.28240910813)), row.names = c("379",      "832", "562", "413", "18", "81", "834", "978", "916", "221",      "982", "39", "854", "130", "333", "768", "216", "140", "338",      "320"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998401866319907,      0.958637142798414, 0.916372062418783, 0.688894388587249,      0.626537493135114, 0.469898441741905, 0.396863226490368,      0.351453457690995, 0.315809738801378, 0.312562803057013,      0.311077975388271, 0.276848743135456, 0.267145372725942,      0.193442591217247, 0.190034969404774, 0.0552786705703674,      0.021134427445925, 0.000487584575333954, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10327195803 
R squared (OOB):                  0.5520005 

$Forests[[380]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(520000, 553000, 5e+05,      425000, 535000, 483000, 518000, 495000, 537000, 412000, 455000,      420000, 468000, 362500, 365000, 360000, 455000, 393000, 450000,      428888), floor_area_sqm = c(93, 93, 93, 104, 93, 93, 93,      93, 93, 104, 112, 106, 106, 103, 84, 84, 113, 103, 106, 84     ), storey_order = c(3L, 4L, 3L, 3L, 3L, 2L, 2L, 2L, 4L, 2L,      1L, 3L, 5L, 3L, 4L, 3L, 5L, 2L, 2L, 3L), remaining_lease_mths = c(1133,      1134, 1131, 871, 1131, 1129, 1132, 1131, 1128, 878, 896,      874, 863, 819, 787, 811, 824, 818, 919, 774), PROX_CBD = c(13.7835124985007,      13.8021184722805, 13.8777465201196, 14.0236082538335, 13.9851487819813,      13.9851487819813, 14.0392008059995, 14.1234549986629, 14.1022978560303,      14.1313829663274, 14.0913802169285, 13.629257933267, 13.629257933267,      14.3801998083441, 13.5012180894848, 14.7472020389823, 14.8805910833212,      14.8805910833212, 13.6245617307962, 12.8776183162857), PROX_ELDERLYCARE = c(1.04590518035641,      1.08391670289184, 1.14875617578224, 1.09340394122649, 1.27246652758392,      1.27246652758392, 1.32747908409073, 1.35242241046818, 1.39999761805574,      0.836104821253693, 1.71411655426264, 0.207468408301612, 0.207468408301612,      0.709377020411434, 0.126566715598502, 1.19052284520552, 1.53481387371296,      1.53481387371296, 0.120631950903102, 0.211786543917104),          PROX_HAWKER = c(0.817574416707151, 0.792084042786722,          0.709523473368326, 0.594999289424802, 0.59565400543288,          0.59565400543288, 0.543253862226502, 0.458626901673037,          0.488105393549706, 0.73352935155883, 0.659732742059419,          1.4012681206183, 1.4012681206183, 0.928921275219278,          1.32455892398921, 0.606039227085063, 0.395563323563994,          0.395563323563994, 1.48009929412898, 0.677647820815747         ), PROX_MRT = c(0.648112836468654, 0.615458599020507,          0.526263367583387, 0.469886084443941, 0.390641440388092,          0.390641440388092, 0.327704984287647, 0.250036690549804,          0.255700458734308, 0.735653331318593, 0.410797330392975,          0.681065013996815, 0.681065013996815, 1.02650412956774,          0.54422435083218, 0.807097621625513, 0.650195396152393,          0.650195396152393, 0.357520644011877, 0.301948361527339         ), PROX_PARK = c(0.438074957540257, 0.476945111703218,          0.548712671125698, 0.504422356794811, 0.580591669210194,          0.580591669210194, 0.547177414231792, 0.469588575534173,          0.52092144022497, 0.463826523913091, 0.524242894978874,          0.403276931712581, 0.403276931712581, 0.71485218383349,          0.593866981909781, 0.432698189125414, 0.355836862982211,          0.355836862982211, 0.731000545087102, 0.246982674114576         ), PROX_GOOD_PRISCH = c(2.3007469286795, 2.33081910479479,          2.41902859908312, 2.51794344218072, 2.55482099432271,          2.55482099432271, 2.61966269686357, 2.69456588548322,          2.69832814229385, 2.52734391167264, 2.83541955823977,          1.96779323327463, 1.96779323327463, 2.72778429145315,          1.8351788996921, 3.13467644284063, 3.33079371618761,          3.33079371618761, 1.96554365084008, 1.22334421357001),          PROX_MALL = c(0.615576551193732, 0.585717052475653, 0.498678106329343,          0.418819234777705, 0.37312896686832, 0.37312896686832,          0.316340524018432, 0.232476208076891, 0.257523814996123,          0.66282583229379, 0.471401908473598, 1.12429495075828,          1.12429495075828, 0.949257633150117, 0.956400108312903,          0.738705771798207, 0.390496575840073, 0.390496575840073,          1.05956757611768, 0.503182159926002), PROX_CHAS = c(0.253975316505048,          0.221659659627321, 0.133705064347241, 0.151261605672147,          0.0604900109870272, 0.0604900109870272, 0.101753514952091,          0.147334233235439, 0.177701329016163, 0.528800676490504,          0.471401941314913, 0.260044927245007, 0.260044927245007,          0.453083161817035, 0.0648495538885981, 0.19051372613691,          0.448788349522024, 0.448788349522024, 2.17172157220984e-06,          0.128785172156574), PROX_SUPERMARKET = c(0.253974877653299,          0.221659301316653, 0.133704798830233, 0.151260689076964,          0.0604908810371704, 0.0604908810371704, 0.101754383553332,          0.147334782275979, 0.177702101069216, 0.528799775767506,          0.471402360745676, 0.288903462518554, 0.288903462518554,          0.513065398645433, 0.329742543966106, 0.326764101800336,          0.447693008221967, 0.447693008221967, 0.237807435452358,          0.17067511852319), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 2L, 3L, 3L, 0L, 1L, 3L,          2L, 2L, 3L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L,          4L, 3L, 3L, 4L, 4L, 4L, 3L, 1L, 6L, 6L, 3L, 5L, 2L, 3L,          3L, 5L, 1L), WITHIN_350M_BUS = c(6L, 5L, 8L, 12L, 8L,          8L, 10L, 13L, 11L, 6L, 12L, 6L, 6L, 2L, 7L, 9L, 5L, 5L,          10L, 12L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L,          1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 4L, 3L, 2L, 2L, 4L,          4L), DNeighbour = c(0, 40.3327424837868, 127.833074521286,          232.887508646248, 266.267462947151, 272.563103734407,          335.409219797631, 396.62211084887, 415.805114378764,          514.451638294739, 682.684941658034, 834.091114182732,          836.642969703596, 912.822968938612, 1027.60105766362,          1030.91461835108, 1089.97794557006, 1098.03672599061,          1159.5180256793, 1178.91919375586)), row.names = c("380",      "275", "579", "51", "819", "938", "218", "212", "815", "695",      "352", "503", "415", "3", "264", "136", "852", "639", "656",      "892"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.997660499218422,      0.976623056644961, 0.923476162605725, 0.900579166566105,      0.895952628077307, 0.844664871909883, 0.786442281292036,      0.766679775965877, 0.655413762134865, 0.441786043430021,      0.249437124184596, 0.246382413435646, 0.160382719594902,      0.0577114050741746, 0.0553775015179308, 0.0210814219737889,      0.0175582763092577, 0.00106554312681694, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2228903980 
R squared (OOB):                  0.3919146 

$Forests[[381]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(334008, 370000, 335000,      358000, 345000, 442500, 418888, 415000, 450000, 410000, 462000,      443000, 447888, 390000, 347000, 418000, 382000, 370000, 459000,      445000), floor_area_sqm = c(103, 102, 102, 104, 90, 92, 92,      92, 92, 101, 93, 93, 93, 92, 90, 92, 93, 90, 93, 93), storey_order = c(2L,      3L, 4L, 4L, 5L, 6L, 3L, 2L, 4L, 3L, 5L, 5L, 5L, 1L, 2L, 5L,      1L, 3L, 4L, 4L), remaining_lease_mths = c(917, 927, 940,      815, 937, 1138, 1136, 1132, 1135, 936, 1134, 1134, 1137,      1132, 971, 1142, 1111, 977, 1138, 1133), PROX_CBD = c(14.2719972222741,      14.12564920201, 14.4474740114555, 14.0960645211931, 14.2787185061121,      14.4158973706441, 14.4158973706441, 14.6122009832922, 14.5310939664424,      13.8911800577968, 14.1475961545785, 14.1475961545785, 14.1475961545785,      14.6424103631698, 14.6079806280174, 14.4012043650842, 14.29200158436,      14.489397367385, 14.1715462602585, 14.1149653809405), PROX_ELDERLYCARE = c(1.50921581969441,      1.44816412197145, 1.50338082315219, 1.70531999087377, 1.77826193055387,      1.86115765343828, 1.86115765343828, 1.68824062303628, 1.79186944623163,      1.40411939431899, 2.03155968851809, 2.03155968851809, 2.03155968851809,      1.72557175775889, 0.966138977916587, 1.94149260139439, 2.00367987562091,      0.929205058584809, 2.09595649451453, 2.12564955085825), PROX_HAWKER = c(0.684102697062058,      0.778468578249857, 0.588144724666333, 0.845358517598031,      0.865181709866835, 0.900970586039013, 0.900970586039013,      0.707122679385598, 0.816792492128141, 0.687446499339865,      1.0452124348096, 1.0452124348096, 1.0452124348096, 0.740384095011384,      0.31691894051251, 0.977925494011815, 1.05572120633707, 0.478869651742105,      1.11030496241672, 1.06810792734919), PROX_MRT = c(0.347262283963267,      0.476637705223286, 0.224566301285939, 0.217341234217998,      0.14195902454703, 0.0830542408041225, 0.0830542408041225,      0.295449456212788, 0.197201307651512, 0.241174931861397,      0.206896355650083, 0.206896355650083, 0.206896355650083,      0.312698200175978, 0.188565130994124, 0.117672709296806,      0.129588785375857, 0.0437298005890327, 0.236487582928319,      0.282489779359316), PROX_PARK = c(1.38760566459916, 1.20701221478007,      1.55939681176166, 1.27300714898888, 1.51686048726609, 1.70853765465547,      1.70853765465547, 1.76906915549279, 1.79335149216305, 0.90249149706597,      1.52292224478236, 1.52292224478236, 1.52292224478236, 1.78460824921244,      1.07918529837209, 1.73691437359179, 1.659682039687, 0.935596264101672,      1.59201213147604, 1.55223981690243), PROX_GOOD_PRISCH = c(5.26118802945754,      5.06260566207177, 5.45861643017911, 5.17863906457975, 5.42826997650874,      5.62289607338158, 5.62289607338158, 5.7298925008129, 5.7030752613132,      4.74545729482833, 5.43570837857945, 5.43570837857945, 5.43570837857945,      5.77937603269072, 5.35450137646782, 5.65284274036128, 5.57470277830303,      5.1963266927986, 5.50129862889456, 5.45814117537329), PROX_MALL = c(0.108121271181015,      0.287395381957405, 0.12145856762689, 0.243284841315127, 0.338911837083335,      0.475045953779526, 0.475045953779526, 0.426875162675013,      0.466036051693473, 0.267645090747045, 0.329425359540921,      0.329425359540921, 0.329425359540921, 0.482269498416602,      0.479398555662368, 0.544441659044551, 0.462705775504015,      0.345992784345898, 0.405991175981987, 0.377565489031552),          PROX_CHAS = c(0.108121286081234, 0.182188888557241, 0.121458549123021,          0.132339190026647, 0.18872293939054, 0.0420419616737589,          0.0420419616737589, 0.270793953405505, 0.162368565956873,          0.241761013919413, 0.188783823394846, 0.188783823394846,          0.188783823394846, 0.280031834846542, 0.166948923507452,          0.0706873614354785, 0.0888572682655253, 3.77135010377852e-08,          0.12657377242065, 0.179884741524278), PROX_SUPERMARKET = c(0.105248463653719,          0.277268812686258, 0.134916350552101, 0.226949559622758,          0.188722783027928, 0.0420421510628514, 0.0420421510628514,          0.270794118098451, 0.162368758687164, 0.315435463566428,          0.235757849482592, 0.235757849482592, 0.235757849482592,          0.280032026158491, 0.218811722485387, 0.0706874850207218,          0.124391003677116, 0.31785895032531, 0.248308073473709,          0.299769914037237), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 1L, 2L, 1L, 1L, 0L, 0L, 1L, 2L, 2L, 2L, 0L, 2L,          1L, 1L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(4L, 3L,          5L, 7L, 6L, 5L, 5L, 5L, 4L, 3L, 6L, 6L, 6L, 3L, 2L, 5L,          5L, 5L, 5L, 6L), WITHIN_350M_BUS = c(10L, 10L, 11L, 9L,          8L, 7L, 7L, 6L, 8L, 15L, 6L, 6L, 6L, 6L, 13L, 6L, 5L,          13L, 5L, 5L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 4L,          4L, 4L, 4L, 3L, 5L, 4L, 4L, 4L, 3L, 5L, 3L, 4L, 5L, 4L,          4L), DNeighbour = c(0, 203.434899163596, 206.189611298851,          219.521128311867, 309.325351682134, 489.656632204864,          490.902493393316, 491.92199149396, 506.735871537995,          531.166456957869, 541.063974101461, 541.427264827326,          543.063688969948, 547.807021907806, 550.98752042708,          557.133937141773, 565.616604260296, 587.303614654753,          624.690515046059, 643.378592180833)), row.names = c("381",      "703", "826", "880", "329", "33", "100", "489", "609", "599",      "207", "966", "623", "323", "385", "633", "989", "374", "277",      "519"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.810034106021439,      0.805134598943755, 0.780717479329676, 0.591127113575602,      0.177048489260944, 0.174573572500287, 0.172556653038236,      0.144141390407801, 0.101380069761842, 0.0857110792860323,      0.0851557012098393, 0.0826718627292138, 0.0756397175949894,      0.0710670897918382, 0.062564985551182, 0.0515842873797068,      0.027794805248497, 0.00327754494918871, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1252274943 
R squared (OOB):                  0.3589637 

$Forests[[382]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(409500, 418000, 520000,      538000, 560000, 515000, 385000, 465000, 620000, 488000, 660000,      446000, 290000, 451000, 450000, 480000, 445000, 678000, 515000,      582000), floor_area_sqm = c(84, 84, 107, 90, 105, 84, 93,      91, 103, 104, 105, 94, 87, 83, 104, 94, 84, 92, 110, 104),          storey_order = c(3L, 3L, 2L, 5L, 2L, 4L, 1L, 2L, 4L,          1L, 6L, 2L, 1L, 8L, 1L, 6L, 3L, 3L, 1L, 3L), remaining_lease_mths = c(807,          804, 892, 995, 913, 804, 772, 764, 742, 776, 748, 723,          643, 604, 828, 725, 647, 1103, 859, 935), PROX_CBD = c(4.20973993763024,          4.20973993763024, 4.23142849537126, 4.4759193492502,          3.91005014077452, 3.75781957676323, 4.25035751849909,          4.28329341592686, 3.79744534670369, 4.16405648472164,          3.5952466633456, 4.45295385586978, 4.35364804731157,          3.63056019358172, 5.12061996426338, 4.50933618399607,          4.82546817648507, 3.93031212371417, 5.31333197008925,          5.4901102241405), PROX_ELDERLYCARE = c(0.156291063754703,          0.156291063754703, 0.272010492111063, 0.136621520737764,          0.449207181019876, 0.582389211118023, 0.411587417191489,          0.4193003334471, 0.296175206272889, 0.434539750657667,          0.354500614782039, 0.645271528549996, 0.402111762367986,          0.124703716495981, 0.279354008399566, 0.665866395733666,          0.401252043911139, 0.159701117649001, 0.301885421229742,          0.157919913507301), PROX_HAWKER = c(0.46881842734995,          0.46881842734995, 0.392124905911543, 0.736355433757935,          0.464701711390969, 0.393163811818296, 0.610932712322496,          0.638679046714181, 0.300770398866256, 0.502732414569621,          0.311385334077859, 0.601904675681234, 0.52502919100195,          0.0619655343942362, 0.158729667464322, 0.665007751295857,          0.33634581375869, 0.374782156946409, 0.15027253820603,          0.258924665495), PROX_MRT = c(0.750034220630686, 0.750034220630686,          0.870814763860364, 0.930431293452388, 0.361698258812245,          0.434583879195091, 0.605174310138743, 0.637237645879563,          0.195276091150508, 0.518003091395578, 0.16267041353008,          0.66128766903618, 0.698417082344063, 0.188513622979597,          1.12797954219589, 0.549595780709265, 0.437510974512092,          0.57487373386568, 0.839256513816073, 1.30755754576723         ), PROX_PARK = c(0.828179073128827, 0.828179073128827,          0.989030190878471, 0.786607284590569, 0.651892034671684,          0.885911587583127, 0.346786980248178, 0.336599362476296,          0.620239922284967, 0.269719137898212, 0.796125682214674,          0.473457593144303, 0.0959047492621704, 0.634729277660292,          1.12857946410316, 0.353281501558379, 0.386749503328341,          0.43227753152338, 0.919693677764514, 0.803347187860442         ), PROX_GOOD_PRISCH = c(3.58178441884724, 3.58178441884724,          3.47561641519302, 3.43096694593549, 3.96984616110429,          3.98479480133756, 3.87277035706644, 3.85984302070176,          4.13618512399158, 3.99853475328204, 4.26949140427292,          3.02211493728223, 4.11088283479722, 4.47678155678584,          2.70116277997296, 2.94429219434277, 2.65585299610189,          4.55218800106713, 2.32631552336422, 2.45379201830723),          PROX_MALL = c(1.26743973989934, 1.26743973989934, 1.1888213641646,          1.02435160052226, 1.2652175398851, 1.1081035152608, 0.955673327573223,          0.92062293894618, 1.16769889708728, 1.00998414702412,          0.962766222186716, 0.570379319619026, 0.801857467962545,          0.917363569028491, 1.02774547618649, 0.485349818185599,          0.337875853585261, 1.09934779211931, 0.752077094160308,          1.21674302842157), PROX_CHAS = c(0.163154212627783, 0.163154212627783,          0.106822211501606, 0.105578702221058, 0.108899254787234,          0.345906079563203, 0.260827480873255, 0.285886541141976,          0.121619853002556, 0.147909276913635, 0.0963682910788478,          0.303272176186244, 0.130252709580884, 0.112941217538546,          0.193072984237221, 0.331046161101227, 0.315432137833306,          0.304936065418075, 0.111194343620761, 0.233242749827373         ), PROX_SUPERMARKET = c(0.118448079318654, 0.118448079318654,          0.139079920157556, 0.0670716613901785, 0.115229795891962,          0.128350069204848, 0.512280309006142, 0.506434284786685,          0.191561540751545, 0.506391752127701, 0.269187390315468,          0.34627255092781, 0.591301773724787, 0.0867224629960944,          0.198191070641627, 0.325943517329761, 0.0907256678718214,          0.35411008396507, 0.370675298005651, 0.37596142908425         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 0L, 1L, 2L,          1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 6L, 2L, 4L, 4L,          5L, 4L, 4L, 6L, 4L, 1L, 4L, 5L, 4L, 1L, 2L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 5L, 5L, 3L, 5L, 5L,          5L, 5L, 6L, 6L, 6L, 4L, 9L, 5L, 8L, 5L, 12L, 10L), WITHIN_1KM_PRISCH = c(3L,          3L, 2L, 3L, 2L, 2L, 3L, 3L, 2L, 3L, 2L, 1L, 2L, 2L, 3L,          0L, 2L, 1L, 3L, 3L), DNeighbour = c(0, 6.12712833282967,          165.630220363038, 286.267359406605, 390.964331613094,          449.086952338843, 479.707210218353, 502.021007782294,          548.17957054848, 572.821103134322, 692.09316281536, 839.948260416886,          870.480007599498, 899.969543831438, 945.344338117014,          960.961602138875, 1059.30756561836, 1108.78586124956,          1267.72157367779, 1301.24928452922)), row.names = c("382",      "907", "849", "411", "176", "234", "19", "747", "952", "223",      "699", "346", "532", "237", "646", "622", "288", "801", "279",      "307"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999955657709055,      0.967859273772988, 0.905547375687145, 0.827604957013732,      0.775971230246309, 0.74666230522521, 0.724471529088252, 0.676555778477001,      0.649984889783896, 0.51425561347657, 0.340283033816982, 0.305252202210163,      0.272131547497834, 0.222984705777008, 0.206688645451133,      0.11376493868299, 0.0750414382870075, 0.00258752256263317,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6616745815 
R squared (OOB):                  0.2552031 

$Forests[[383]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 365000, 355000,      292000, 415000, 343000, 320000, 350000, 370000, 345000, 325000,      310000, 295000, 295000, 385000, 290000, 3e+05, 380000, 345000,      285000), floor_area_sqm = c(114, 104, 106, 104, 104, 102,      106, 104, 103, 103, 104, 104, 106, 105, 104, 92, 99, 93,      104, 92), storey_order = c(2L, 2L, 1L, 2L, 2L, 5L, 1L, 2L,      4L, 5L, 1L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 4L, 1L), remaining_lease_mths = c(839,      828, 825, 828, 875, 935, 851, 863, 881, 944, 872, 879, 825,      870, 863, 690, 697, 1142, 862, 697), PROX_CBD = c(15.4582319270764,      15.6198573118901, 15.6983328737326, 15.1374510187917, 15.8781143296649,      15.6558233565228, 15.9983120826665, 15.9139497277605, 15.9139497277605,      15.6615925135045, 15.9652370890998, 15.9652370890998, 14.7220636963442,      16.027241877126, 16.2492480828887, 14.8961777358487, 14.8036441916204,      15.6174435761395, 16.2035530975804, 14.6519123293037), PROX_ELDERLYCARE = c(0.319622441582349,      0.497975502399054, 0.587171684565488, 0.426629771798313,      0.633288957745621, 0.268146833149962, 0.541237256511776,      0.471057675436291, 0.471057675436291, 0.372854461013726,      0.372962984236141, 0.372962984236141, 0.327768156942021,      0.401697186037664, 0.836071823435323, 0.090689252710872,      0.0965145667339982, 0.457575537702088, 0.462412199513001,      0.254409923718011), PROX_HAWKER = c(1.7245004017694, 1.6566914426712,      1.64071314431986, 1.49196951764411, 1.79301822351461, 2.27183532495414,      2.1818192257633, 2.34701070601947, 2.34701070601947, 2.39243139523594,      2.45115541279444, 2.45115541279444, 1.39864823048803, 2.44772974464855,      2.17952287051713, 1.02395142210687, 1.07372228066705, 2.21004723991438,      2.51024920878341, 1.21550185558774), PROX_MRT = c(0.233994550027949,      0.297714051615291, 0.341199960643831, 0.164193456307044,      0.159697283923578, 0.370313443989706, 0.364450998520493,      0.424613907535265, 0.424613907535265, 0.499275570100955,      0.52727924180445, 0.52727924180445, 0.0523025726452692, 0.538616250543522,      0.290093838525113, 0.437229774651496, 0.363746184676816,      0.70935210619912, 0.65447898159524, 0.218405848235923), PROX_PARK = c(0.998254167239372,      0.782164021798725, 0.686441032296595, 0.786093050092807,      0.678969217742802, 1.16446299803307, 1.05372411430502, 1.30337713627377,      1.30337713627377, 1.19384102986047, 1.39203600576681, 1.39203600576681,      0.432331111477529, 1.35146177086674, 0.886796559947336, 0.600185611341118,      0.497172938499345, 1.21748666352844, 1.32632916723033, 0.325486875199719     ), PROX_GOOD_PRISCH = c(5.64801716169655, 5.84268664292306,      5.93514971647738, 5.37568176340172, 6.09357654169244, 5.73062396037349,      6.12314921566155, 5.99275530970335, 5.99275530970335, 5.71328270316738,      6.02718330754398, 6.02718330754398, 4.99661753747661, 6.09534233388474,      6.4097782056775, 5.28070608730985, 5.17691715074399, 5.63578467655705,      6.27623366830878, 4.99149337529414), PROX_MALL = c(0.455554164929496,      0.394873468760787, 0.310729806849059, 0.249545786638779,      0.145699923430919, 0.155488337640192, 0.45623102577182, 0.338688619983659,      0.338688619983659, 0.238209845871265, 0.238316612740974,      0.238316612740974, 0.343882807046916, 0.275346491924215,      0.355568776497803, 0.252669380741675, 0.278400001713995,      0.401390812484646, 0.370949542105629, 0.377416550632833),          PROX_CHAS = c(0.158017550603297, 0.28481487293308, 0.261893114523038,          0.193150290660334, 0.0723222156351423, 0.155488306171375,          0.290215734280461, 0.338688583692834, 0.338688583692834,          0.238209795937414, 0.238316573509266, 0.238316573509266,          0.141205029857343, 0.275346446899555, 0.121251060497272,          0.252669404800451, 0.190291087196022, 0.187858028295528,          0.370949494121523, 0.0736014920224838), PROX_SUPERMARKET = c(0.387973705585917,          0.407244625741832, 0.322774913149109, 0.200567401454574,          0.157892159590583, 0.152010752053411, 0.162067612034701,          0.112474666082431, 0.112474666082431, 0.238833101010687,          0.177610526119132, 0.177610526119132, 0.141204847242777,          0.141316208924405, 0.350013224352412, 0.186322037460738,          0.190291125096353, 0.412009517866082, 0.235998227482853,          0.128878263549785), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 0L, 4L, 1L, 3L, 3L, 3L, 3L, 3L, 0L, 3L, 0L,          1L, 1L, 3L, 3L, 1L), WITHIN_350M_CHILDCARE = c(8L, 3L,          4L, 5L, 3L, 8L, 6L, 9L, 9L, 5L, 6L, 6L, 3L, 8L, 4L, 3L,          3L, 3L, 5L, 3L), WITHIN_350M_BUS = c(14L, 9L, 8L, 11L,          7L, 14L, 12L, 15L, 15L, 16L, 14L, 14L, 8L, 12L, 9L, 7L,          9L, 15L, 7L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L,          3L, 3L), DNeighbour = c(0, 225.373615204651, 323.025367840101,          352.457315034634, 447.276953587558, 542.828573870813,          589.025687016554, 652.454176704286, 655.386719998893,          668.311857749935, 753.23827656799, 753.396062510408,          763.781778355813, 771.895813076156, 790.607871775707,          813.184923035652, 842.369333297559, 860.516684989885,          889.379254261304, 899.128241434476)), row.names = c("383",      "304", "196", "387", "510", "450", "888", "959", "927", "572",      "566", "490", "786", "463", "711", "87", "995", "766", "806",      "986"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.87828874647839,      0.758516646645973, 0.716286035309611, 0.566312372887411,      0.403876688254332, 0.325851587934615, 0.224135229415341,      0.219665721873987, 0.200275864403694, 0.0889154142143278,      0.0887401322537923, 0.0775076851833032, 0.0691631046112541,      0.051448621738532, 0.033136304476397, 0.0149495202862633,      0.00706314536461488, 0.000465172434722047, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1338218749 
R squared (OOB):                  0.01384027 

$Forests[[384]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(438000, 393000, 432000,      385000, 425000, 432000, 431000, 435000, 438000, 323000, 448000,      440000, 430000, 450000, 420000, 425000, 395000, 358000, 450000,      445000), floor_area_sqm = c(93, 93, 93, 93, 94, 92, 92, 95,      94, 90, 96, 96, 92, 94, 94, 94, 94, 93, 93, 94), storey_order = c(4L,      2L, 5L, 1L, 5L, 6L, 7L, 6L, 5L, 1L, 9L, 7L, 6L, 7L, 7L, 6L,      4L, 1L, 9L, 6L), remaining_lease_mths = c(1132, 1134, 1138,      1134, 1083, 1137, 1138, 1105, 1076, 983, 1110, 1108, 1126,      1119, 1120, 1119, 1113, 1103, 1136, 1109), PROX_CBD = c(11.710716376044,      11.7767430748854, 11.7767430748854, 11.6526890235784, 11.8751655684431,      11.9317097346946, 11.9317097346946, 11.6071858552171, 11.9414743986494,      12.0200214112876, 11.5810624146691, 11.6053344020152, 12.0797672032522,      12.0119641769274, 12.0119641769274, 11.9828723130509, 11.9744040829633,      11.8075546541859, 12.1741021183779, 12.1122271384014), PROX_ELDERLYCARE = c(0.893667704764373,      0.813774711283767, 0.813774711283767, 0.935812608446987,      0.727329111385366, 0.680106913101551, 0.680106913101551,      1.02315858897206, 0.687500817542951, 0.618171206910468, 1.05973522725621,      1.04503450829128, 0.550577233037288, 0.673044116243487, 0.673044116243487,      0.710325725805382, 0.738781707341689, 0.922118515238085,      0.519600844901231, 0.629785153682861), PROX_HAWKER = c(0.445365536494089,      0.340776861445006, 0.340776861445006, 0.34883542271072, 0.145379780608352,      0.161367564791002, 0.161367564791002, 0.193888136950838,      0.147098227142532, 0.743318510800665, 0.226379932511381,      0.210992660312359, 0.286867197183981, 0.222580914455278,      0.222580914455278, 0.20448046373977, 0.217370340361849, 0.209140712961875,      0.375471053349032, 0.337796349528525), PROX_MRT = c(0.261259630709371,      0.162476645519961, 0.162476645519961, 0.28284034831035, 0.191731142133254,      0.214149342621172, 0.214149342621172, 0.216093917824789,      0.183575431830776, 0.291532437270123, 0.233016580221366,      0.206803096961617, 0.285059794417971, 0.201095784108649,      0.201095784108649, 0.170867756883987, 0.167322140356011,      0.120215557602138, 0.338849049026276, 0.302747284955937),          PROX_PARK = c(0.569724311118431, 0.615413214289157, 0.615413214289157,          0.489736206412745, 0.723512884628395, 0.785212145526225,          0.785212145526225, 0.521580333579447, 0.807374064658721,          0.871053837980522, 0.520771390450273, 0.554363925008431,          0.747342190235743, 0.691047645736797, 0.691047645736797,          0.697136724289492, 0.679906922269617, 0.747098338531098,          0.612679613149166, 0.576425078157325), PROX_GOOD_PRISCH = c(1.9723226064342,          2.03585243074848, 2.03585243074848, 1.91178525383739,          2.14229157607785, 2.20126444296921, 2.20126444296921,          1.89230283405924, 2.21615815400514, 2.31713852475231,          1.87254500118751, 1.90056431650247, 2.35145083667271,          2.29976812492723, 2.29976812492723, 2.27447890050516,          2.27223739349538, 2.12338877581429, 2.45580221931744,          2.408030235171), PROX_MALL = c(0.535719768985538, 0.437539575450179,          0.437539575450179, 0.427385274755512, 0.249449426365425,          0.255684281538694, 0.255684281538694, 0.173810560938293,          0.22663965361209, 0.859289251142989, 0.185878129611589,          0.158081786709397, 0.356578632219481, 0.251262654177611,          0.251262654177611, 0.220402811054307, 0.214069216816763,          0.119447773727589, 0.416829357908565, 0.350899017798137         ), PROX_CHAS = c(0.215330181794506, 0.108183414657245,          0.108183414657245, 0.225869963934761, 0.179410689617013,          0.203726500797623, 0.203726500797623, 0.173810611614792,          0.156140837156126, 0.310908028614088, 0.185878170229198,          0.158081821824728, 0.146949814741425, 0.131248018016709,          0.131248018016709, 0.0995919009989899, 0.0939357367291076,          0.11944771257822, 0.0461624602204791, 0.0703863092474096         ), PROX_SUPERMARKET = c(0.215506457059651, 0.108294583955479,          0.108294583955479, 0.225911825558638, 0.179159947933279,          0.217804588957955, 0.217804588957955, 0.1671684124578,          0.236998053946951, 0.507879796624066, 0.177355035948325,          0.148884454693003, 0.315486318912089, 0.261515416493987,          0.261515416493987, 0.230351837454113, 0.22318738818849,          0.119571834445138, 0.427183407476201, 0.360308355053667         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 0L, 1L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 3L, 3L, 7L, 6L,          6L, 4L, 6L, 1L, 4L, 4L, 5L, 6L, 6L, 6L, 7L, 4L, 7L, 7L         ), WITHIN_350M_BUS = c(2L, 4L, 4L, 4L, 6L, 8L, 8L, 6L,          8L, 6L, 7L, 8L, 9L, 6L, 6L, 7L, 10L, 10L, 5L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 108.749597779494,          110.77624831668, 130.778382707486, 353.208658815928,          407.34989698026, 407.427975329195, 455.345294699575,          457.959542074266, 467.226763095197, 502.312869694877,          515.228911968424, 525.356123131916, 584.00651973147,          585.930244871833, 597.610004166563, 625.133034644843,          644.10498765632, 661.323191871231, 691.563753604619)), row.names = c("384",      "939", "325", "309", "250", "392", "613", "922", "781", "909",      "182", "158", "900", "947", "167", "203", "858", "724", "621",      "607"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.951155265086055,      0.949341635410445, 0.929757194628842, 0.546336155013797,      0.426470249763273, 0.426296535477484, 0.320890404204369,      0.315259366644447, 0.295449155062135, 0.223185429652201,      0.197976069094891, 0.178853315051383, 0.0822922879537701,      0.0796145155611651, 0.0641390102853585, 0.0334488018988388,      0.017567158331837, 0.0073176869943136, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       844155300 
R squared (OOB):                  0.2315032 

$Forests[[385]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(347000, 370000, 485000,      455000, 350000, 445000, 460000, 491000, 585000, 450000, 334008,      335000, 370000, 410000, 358000, 415000, 345000, 330000, 390000,      450000), floor_area_sqm = c(90, 90, 93, 99, 93, 93, 93, 92,      91, 93, 103, 102, 102, 101, 104, 92, 90, 103, 92, 92), storey_order = c(2L,      3L, 10L, 2L, 3L, 7L, 7L, 9L, 10L, 4L, 2L, 4L, 3L, 3L, 4L,      2L, 5L, 2L, 1L, 4L), remaining_lease_mths = c(971, 977, 1112,      951, 1018, 1117, 1135, 1137, 995, 1131, 917, 940, 927, 936,      815, 1132, 937, 937, 1132, 1135), PROX_CBD = c(14.6079806280174,      14.489397367385, 14.8542518275748, 14.3012013074868, 14.9930585550483,      14.9897790388493, 15.0332592042754, 15.0782917837809, 14.2059144167977,      15.1194109037639, 14.2719972222741, 14.4474740114555, 14.12564920201,      13.8911800577968, 14.0960645211931, 14.6122009832922, 14.2787185061121,      14.5165027597446, 14.6424103631698, 14.5310939664424), PROX_ELDERLYCARE = c(0.966138977916587,      0.929205058584809, 0.671766786446111, 0.93663965535868, 0.766085625885291,      0.622451014094897, 0.653175957864657, 0.811417024562957,      0.923774065318005, 0.632846087105322, 1.50921581969441, 1.50338082315219,      1.44816412197145, 1.40411939431899, 1.70531999087377, 1.68824062303628,      1.77826193055387, 0.389463724969334, 1.72557175775889, 1.79186944623163     ), PROX_HAWKER = c(0.31691894051251, 0.478869651742105, 0.3485650804915,      0.693090021451824, 0.230353911902381, 0.366862032582334,      0.344843972730765, 0.241120378832392, 0.829910539202106,      0.399490681633122, 0.684102697062058, 0.588144724666333,      0.778468578249857, 0.687446499339865, 0.845358517598031,      0.707122679385598, 0.865181709866835, 1.0617726338971, 0.740384095011384,      0.816792492128141), PROX_MRT = c(0.188565130994124, 0.0437298005890327,      0.41695674877223, 0.189883903502813, 0.545901722651448, 0.550628186781769,      0.587916938270161, 0.604690005035212, 0.127617925270923,      0.674936552563307, 0.347262283963267, 0.224566301285939,      0.476637705223286, 0.241174931861397, 0.217341234217998,      0.295449456212788, 0.14195902454703, 0.0901878473788138,      0.312698200175978, 0.197201307651512), PROX_PARK = c(1.07918529837209,      0.935596264101672, 1.00246315577637, 0.812876767906526, 0.937160160632966,      0.886983007034967, 0.858154923175006, 0.889047622652367,      0.716522496183652, 0.773048101136696, 1.38760566459916, 1.55939681176166,      1.20701221478007, 0.90249149706597, 1.27300714898888, 1.76906915549279,      1.51686048726609, 0.278686390612803, 1.78460824921244, 1.79335149216305     ), PROX_GOOD_PRISCH = c(5.35450137646782, 5.1963266927986,      5.49301939379528, 4.98177209241419, 5.6774973866509, 5.61521578968116,      5.67093979106873, 5.77803713337603, 4.85056771881294, 5.74516136190441,      5.26118802945754, 5.45861643017911, 5.06260566207177, 4.74545729482833,      5.17863906457975, 5.7298925008129, 5.42826997650874, 4.93093863547281,      5.77937603269072, 5.7030752613132), PROX_MALL = c(0.479398555662368,      0.345992784345898, 0.497662931100388, 0.236735170365795,      0.691703794200818, 0.615054651957031, 0.671424081833306,      0.79347213158724, 0.148456555084967, 0.744876648240093, 0.108121271181015,      0.12145856762689, 0.287395381957405, 0.267645090747045, 0.243284841315127,      0.426875162675013, 0.338911837083335, 0.38830118917563, 0.482269498416602,      0.466036051693473), PROX_CHAS = c(0.166948923507452, 3.77135010377852e-08,      0.139715392485403, 0.214782230853987, 0.094086780959658,      0.101756162724623, 0.0438337826764906, 0.128222338920945,      0.148456588323488, 0.0812821875339188, 0.108121286081234,      0.121458549123021, 0.182188888557241, 0.241761013919413,      0.132339190026647, 0.270793953405505, 0.18872293939054, 0.0918929757518676,      0.280031834846542, 0.162368565956873), PROX_SUPERMARKET = c(0.218811722485387,      0.31785895032531, 0.118312809115248, 0.172194506074768, 0.189746195069109,      0.215874380558773, 0.238848984717478, 0.286089695736963,      0.154204342539502, 0.325050502595441, 0.105248463653719,      0.134916350552101, 0.277268812686258, 0.315435463566428,      0.226949559622758, 0.270794118098451, 0.188722783027928,      0.354026220875794, 0.280032026158491, 0.162368758687164),          WITHIN_350M_KINDERGARTEN = c(2L, 2L, 1L, 1L, 1L, 0L,          0L, 1L, 1L, 0L, 2L, 1L, 1L, 1L, 1L, 0L, 2L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 5L, 3L, 6L, 3L, 3L,          3L, 3L, 7L, 3L, 4L, 5L, 3L, 3L, 7L, 5L, 6L, 5L, 3L, 4L         ), WITHIN_350M_BUS = c(13L, 13L, 11L, 15L, 11L, 11L,          10L, 10L, 17L, 12L, 10L, 11L, 10L, 15L, 9L, 6L, 8L, 7L,          6L, 8L), WITHIN_1KM_PRISCH = c(5L, 5L, 4L, 3L, 4L, 3L,          3L, 4L, 3L, 3L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 2L, 3L, 3L         ), DNeighbour = c(0, 162.258255454559, 317.390903615888,          376.377205308342, 390.007565935898, 434.359200943535,          459.234883292604, 468.156273066583, 515.622407442652,          544.031815163292, 550.98752042708, 554.657371359676,          566.111962675449, 720.518827738973, 765.435118756419,          789.877656928528, 816.755755438966, 839.635470358485,          839.981551014443, 877.41534468685)), row.names = c("385",      "374", "159", "717", "836", "500", "865", "568", "146", "299",      "381", "826", "703", "599", "880", "489", "329", "592", "323",      "609"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.932773131163568,      0.755419222179146, 0.665843309973101, 0.6438832353459, 0.569921477798706,      0.527159609144989, 0.511669304668575, 0.428573230066813,      0.37890367650714, 0.366821569500918, 0.360465080559889, 0.34071933888626,      0.106053125605825, 0.057102858205522, 0.0359412431871821,      0.0178193791000699, 0.00710013183472488, 0.00697345705096398,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3698460175 
R squared (OOB):                  0.1983035 

$Forests[[386]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(440000, 450000, 516000,      435000, 588000, 439000, 670000, 548000, 408000, 410000, 420000,      640000, 430000, 345000, 5e+05, 565000, 648000, 375000, 640000,      448000), floor_area_sqm = c(92, 92, 98, 98, 95, 97, 94, 95,      91, 97, 91, 91, 93, 92, 105, 103, 116, 92, 90, 105), storey_order = c(3L,      1L, 3L, 1L, 3L, 3L, 6L, 2L, 3L, 4L, 1L, 3L, 3L, 1L, 2L, 4L,      4L, 2L, 1L, 1L), remaining_lease_mths = c(677, 679, 698,      692, 1025, 669, 1104, 981, 674, 665, 742, 992, 728, 695,      857, 852, 871, 695, 1095, 866), PROX_CBD = c(8.7589377611275,      8.7589377611275, 8.70928269501252, 8.85689554561162, 8.51090417959469,      8.73211086874077, 8.58683984966127, 8.37940280964872, 8.96374942103709,      8.66747718420982, 8.31995738049774, 9.30017281297198, 8.20083785223568,      8.46158045860266, 8.19182633034048, 8.19182633034048, 8.27332873959955,      8.4016901584654, 9.29204667907952, 8.05276498978228), PROX_ELDERLYCARE = c(0.169235371196244,      0.169235371196244, 0.119444653145476, 0.272187629818594,      0.120425912751251, 0.292319821872094, 0.203840329735754,      0.335901694998922, 0.267188539522683, 0.0441159965049124,      0.259768432786295, 0.677643973897152, 0.41240614163537, 0.0854535518544851,      0.444818640633349, 0.444818640633349, 0.354571010374291,      0.150390524199432, 0.771441336950035, 0.599632276485302),          PROX_HAWKER = c(0.330091511745513, 0.330091511745513,          0.281172749103646, 0.446318851105742, 0.166697492306482,          0.436547444862961, 0.433030813326955, 0.203869560106314,          0.393731145214296, 0.357845486047337, 0.387410687724852,          0.445284816601654, 0.35604829505958, 0.266645682444034,          0.553760551741158, 0.553760551741158, 0.610975272844239,          0.205000896629144, 0.172288624542473, 0.560005371648267         ), PROX_MRT = c(0.338391484905848, 0.338391484905848,          0.379410256905797, 0.372678744867538, 0.608243230971526,          0.600073719023998, 0.751078096441513, 0.62312262100292,          0.71987240697712, 0.874328108605637, 0.705543842504761,          0.258716275079725, 0.805467939952349, 0.681495718287031,          1.08457427678223, 1.08457427678223, 1.0936063211659,          0.747297636603152, 0.459210746913958, 1.12051759514643         ), PROX_PARK = c(0.469340752260783, 0.469340752260783,          0.513364518506117, 0.479885299937475, 0.368529270986479,          0.617507126900098, 0.52118662053352, 0.394842599629624,          0.60552725382935, 0.691303172853456, 0.517920409018535,          0.166211588513849, 0.393072899865764, 0.773425606080498,          0.374102285306053, 0.374102285306053, 0.477465658778908,          0.784786352249359, 0.354651430366215, 0.30128672956265         ), PROX_GOOD_PRISCH = c(1.40615721612308, 1.40615721612308,          1.35677240305411, 1.47413984574199, 1.13331232297991,          1.31940815963163, 1.16640042723588, 1.14854892992093,          1.13785719900195, 1.23754792076915, 1.20021801549651,          1.82000438656186, 1.04754826657838, 1.4534383809239,          0.769163347741007, 0.769163347741007, 0.856939381531897,          1.42922442943649, 2.10961489740732, 0.631981624625733         ), PROX_MALL = c(0.264395031718586, 0.264395031718586,          0.313890580083005, 0.241772845363545, 0.540250505232014,          0.469553394647833, 0.632538285087724, 0.651389947232486,          0.480317195978648, 0.740457696387364, 0.768764019555169,          0.302826744416793, 0.844084234929545, 0.793630348518112,          0.997182626507123, 0.997182626507123, 0.991200103712322,          0.856591768216477, 0.591682371404957, 1.07178760783233         ), PROX_CHAS = c(0.0806835690144568, 0.0806835690144568,          0.112175615725657, 0.157458356405151, 0.0869956868442428,          0.0664211666443358, 0.237191200694799, 0.11938167830482,          0.143131544605207, 0.34300149800099, 0.1066489590073,          0.258750733988333, 0.0460460495231756, 0.161491876005888,          0.311461966699573, 0.311461966699573, 0.413431749899638,          0.14998683096932, 0.116738661463474, 0.167974733321899         ), PROX_SUPERMARKET = c(0.24726445439454, 0.24726445439454,          0.221335227738319, 0.224853982916395, 0.0869967242830128,          0.350370254212894, 0.35437102597818, 0.282093113359979,          0.181164390242962, 0.158725757407685, 0.284909088626731,          0.378001630838772, 0.436961702644775, 0.128302570008396,          0.485938543293979, 0.485938543293979, 0.502190497784501,          0.194600933367586, 0.110756393825321, 0.372458117254617         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 1L,          1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 3L         ), WITHIN_350M_CHILDCARE = c(8L, 8L, 7L, 7L, 6L, 6L,          5L, 4L, 4L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 4L, 3L, 5L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 6L, 7L, 5L, 7L, 4L, 6L,          6L, 5L, 7L, 9L, 7L, 7L, 7L, 7L, 8L, 7L, 7L, 5L), WITHIN_1KM_PRISCH = c(3L,          3L, 4L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 2L,          2L, 2L, 3L, 2L, 1L), DNeighbour = c(0, 4.19893218391986,          53.8356705661055, 143.635043848945, 275.528352088195,          301.054351077748, 418.613830389618, 442.626365465201,          544.717829061549, 579.971779987317, 596.406195890169,          626.220842500854, 638.607539043101, 702.783466762669,          742.917804461367, 749.936110519665, 752.002362936907,          756.030608528068, 794.806016890462, 808.608339036691)), row.names = c("386",      "194", "446", "397", "94", "842", "149", "998", "692", "331",      "716", "973", "79", "676", "674", "128", "795", "682", "191",      "635"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999946070619735,      0.991154340638978, 0.93788906641768, 0.781267896918911, 0.741982382983576,      0.535809617583706, 0.490505734811975, 0.298331863209556,      0.235765564692853, 0.207925762289228, 0.160190834083491,      0.141584497682509, 0.0598379586428274, 0.0242980222101919,      0.0195591821231626, 0.0182541185043101, 0.0158299331986499,      0.00114562634263818, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7671032914 
R squared (OOB):                  0.2265288 

$Forests[[387]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(292000, 345000, 295000,      365000, 290000, 3e+05, 285000, 355000, 415000, 330000, 343000,      345000, 320000, 350000, 370000, 310000, 325000, 380000, 295000,      385000), floor_area_sqm = c(104, 114, 106, 104, 92, 99, 92,      106, 104, 103, 102, 103, 106, 104, 103, 104, 104, 93, 105,      104), storey_order = c(2L, 2L, 1L, 2L, 4L, 1L, 1L, 1L, 2L,      2L, 5L, 5L, 1L, 2L, 4L, 1L, 1L, 1L, 1L, 1L), remaining_lease_mths = c(828,      839, 825, 828, 690, 697, 697, 825, 875, 937, 935, 944, 851,      863, 881, 879, 872, 1142, 870, 863), PROX_CBD = c(15.1374510187917,      15.4582319270764, 14.7220636963442, 15.6198573118901, 14.8961777358487,      14.8036441916204, 14.6519123293037, 15.6983328737326, 15.8781143296649,      14.5165027597446, 15.6558233565228, 15.6615925135045, 15.9983120826665,      15.9139497277605, 15.9139497277605, 15.9652370890998, 15.9652370890998,      15.6174435761395, 16.027241877126, 16.2492480828887), PROX_ELDERLYCARE = c(0.426629771798313,      0.319622441582349, 0.327768156942021, 0.497975502399054,      0.090689252710872, 0.0965145667339982, 0.254409923718011,      0.587171684565488, 0.633288957745621, 0.389463724969334,      0.268146833149962, 0.372854461013726, 0.541237256511776,      0.471057675436291, 0.471057675436291, 0.372962984236141,      0.372962984236141, 0.457575537702088, 0.401697186037664,      0.836071823435323), PROX_HAWKER = c(1.49196951764411, 1.7245004017694,      1.39864823048803, 1.6566914426712, 1.02395142210687, 1.07372228066705,      1.21550185558774, 1.64071314431986, 1.79301822351461, 1.0617726338971,      2.27183532495414, 2.39243139523594, 2.1818192257633, 2.34701070601947,      2.34701070601947, 2.45115541279444, 2.45115541279444, 2.21004723991438,      2.44772974464855, 2.17952287051713), PROX_MRT = c(0.164193456307044,      0.233994550027949, 0.0523025726452692, 0.297714051615291,      0.437229774651496, 0.363746184676816, 0.218405848235923,      0.341199960643831, 0.159697283923578, 0.0901878473788138,      0.370313443989706, 0.499275570100955, 0.364450998520493,      0.424613907535265, 0.424613907535265, 0.52727924180445, 0.52727924180445,      0.70935210619912, 0.538616250543522, 0.290093838525113),          PROX_PARK = c(0.786093050092807, 0.998254167239372, 0.432331111477529,          0.782164021798725, 0.600185611341118, 0.497172938499345,          0.325486875199719, 0.686441032296595, 0.678969217742802,          0.278686390612803, 1.16446299803307, 1.19384102986047,          1.05372411430502, 1.30337713627377, 1.30337713627377,          1.39203600576681, 1.39203600576681, 1.21748666352844,          1.35146177086674, 0.886796559947336), PROX_GOOD_PRISCH = c(5.37568176340172,          5.64801716169655, 4.99661753747661, 5.84268664292306,          5.28070608730985, 5.17691715074399, 4.99149337529414,          5.93514971647738, 6.09357654169244, 4.93093863547281,          5.73062396037349, 5.71328270316738, 6.12314921566155,          5.99275530970335, 5.99275530970335, 6.02718330754398,          6.02718330754398, 5.63578467655705, 6.09534233388474,          6.4097782056775), PROX_MALL = c(0.249545786638779, 0.455554164929496,          0.343882807046916, 0.394873468760787, 0.252669380741675,          0.278400001713995, 0.377416550632833, 0.310729806849059,          0.145699923430919, 0.38830118917563, 0.155488337640192,          0.238209845871265, 0.45623102577182, 0.338688619983659,          0.338688619983659, 0.238316612740974, 0.238316612740974,          0.401390812484646, 0.275346491924215, 0.355568776497803         ), PROX_CHAS = c(0.193150290660334, 0.158017550603297,          0.141205029857343, 0.28481487293308, 0.252669404800451,          0.190291087196022, 0.0736014920224838, 0.261893114523038,          0.0723222156351423, 0.0918929757518676, 0.155488306171375,          0.238209795937414, 0.290215734280461, 0.338688583692834,          0.338688583692834, 0.238316573509266, 0.238316573509266,          0.187858028295528, 0.275346446899555, 0.121251060497272         ), PROX_SUPERMARKET = c(0.200567401454574, 0.387973705585917,          0.141204847242777, 0.407244625741832, 0.186322037460738,          0.190291125096353, 0.128878263549785, 0.322774913149109,          0.157892159590583, 0.354026220875794, 0.152010752053411,          0.238833101010687, 0.162067612034701, 0.112474666082431,          0.112474666082431, 0.177610526119132, 0.177610526119132,          0.412009517866082, 0.141316208924405, 0.350013224352412         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 0L, 1L, 1L, 1L,          1L, 1L, 0L, 1L, 4L, 3L, 1L, 3L, 3L, 3L, 3L, 3L, 3L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 8L, 3L, 3L, 3L, 3L,          3L, 4L, 3L, 5L, 8L, 5L, 6L, 9L, 9L, 6L, 6L, 3L, 8L, 4L         ), WITHIN_350M_BUS = c(11L, 14L, 8L, 9L, 7L, 9L, 9L,          8L, 7L, 7L, 14L, 16L, 12L, 15L, 15L, 14L, 14L, 15L, 12L,          9L), WITHIN_1KM_PRISCH = c(2L, 3L, 2L, 3L, 3L, 3L, 3L,          3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L),          DNeighbour = c(0, 352.457315034634, 418.76293971991,          481.183548917605, 500.509185492507, 507.894148179228,          546.993738824606, 564.422358131552, 738.831811352517,          764.176041669978, 827.193180116187, 938.554864600504,          941.463423932653, 988.016879634648, 990.599147594452,          1084.23321337485, 1084.32779830692, 1094.66729481354,          1110.79512856363, 1125.19381005753)), row.names = c("387",      "383", "786", "304", "87", "995", "986", "196", "510", "592",      "450", "572", "888", "959", "927", "490", "566", "766", "463",      "711"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.813387188497447,      0.742164645430959, 0.667684640143216, 0.643420224722438,      0.634018446635724, 0.583199193839617, 0.560065174309977,      0.323581158674435, 0.290256383302814, 0.211181970053971,      0.0925569044416946, 0.0899475924039463, 0.052424997865311,      0.0505932609577162, 0.00510954860379741, 0.00508641369659794,      0.00286481595450783, 0.000646659130783323, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       892105737 
R squared (OOB):                  0.340768 

$Forests[[388]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(672000, 660000, 440000,      710000, 675000, 662000, 715000, 4e+05, 550000, 680000, 340000,      358000, 363000, 345000, 430000, 370000, 355000, 650000, 380000,      380000), floor_area_sqm = c(85, 85, 91, 93, 95, 95, 95, 104,      102, 95, 84, 84, 84, 84, 104, 84, 84, 104, 93, 92), storey_order = c(5L,      3L, 5L, 6L, 2L, 3L, 6L, 2L, 3L, 4L, 1L, 3L, 4L, 1L, 2L, 3L,      3L, 3L, 3L, 1L), remaining_lease_mths = c(1042, 1032, 669,      1084, 1093, 1093, 1099, 783, 761, 1084, 780, 770, 780, 789,      781, 777, 782, 815, 790, 767), PROX_CBD = c(6.58265946872266,      6.62545736407856, 6.95185067667089, 6.17931132662417, 6.15852201326599,      6.11286474740545, 6.06656257116635, 6.8579883001408, 6.04257091454572,      6.04001281876484, 6.73119135364588, 6.82164733234375, 6.82164733234375,      7.23308787648785, 7.27303659463988, 7.32999369210923, 7.37752466520609,      7.71625132507906, 7.92065359752155, 8.01258306529517), PROX_ELDERLYCARE = c(0.129826558983194,      0.121758896932011, 0.368543492371998, 0.411122241220865,      0.428116600598184, 0.471592353212743, 0.516985202466339,      0.650979480304367, 0.548656319889636, 0.545921172841312,      0.709869492714774, 0.729511559050305, 0.729511559050305,      0.804640181087392, 0.949520652768775, 1.04617467786566, 1.11141904944431,      1.13999552495818, 1.44631042678071, 1.38923408288603), PROX_HAWKER = c(0.37361464573735,      0.33268573973532, 0.163396016993116, 0.114709112077857, 0.104458461300263,      0.0855319563513606, 0.0900485470251793, 0.732876252375814,      0.19523132016882, 0.0606577495598573, 0.84617550022745, 0.834207881424508,      0.834207881424508, 0.727393295990439, 0.905159668549179,      1.00458194418859, 1.06790139631185, 0.888477780938884, 0.646393168274836,      0.532883444787396), PROX_MRT = c(0.288098631383321, 0.255638745600017,      0.258776848421036, 0.54480998513683, 0.567634817298681, 0.576684647572531,      0.530436532640755, 0.479854345281657, 0.448203274012385,      0.53617676606472, 0.447149108468339, 0.401668294921849, 0.401668294921849,      0.626719191507479, 0.477339162120678, 0.446590670593176,      0.450606800129455, 0.227897729387739, 0.434970780163821,      0.57194553577364), PROX_PARK = c(0.734858817801552, 0.741691321664553,      0.871860056746433, 0.461766774013401, 0.487498062645995,      0.517760851715104, 0.548254609843109, 1.26891760289394, 0.651264615899835,      0.524571131123829, 1.30601230217613, 1.33915084667526, 1.33915084667526,      1.17683143601381, 1.28136359713013, 1.30043300411079, 1.30417314517193,      0.374132090410645, 0.790688256163915, 0.580004121625521),          PROX_GOOD_PRISCH = c(2.10026546945211, 2.08436883673306,          1.99104033276262, 1.95037752635058, 1.97696478280336,          2.00772186702724, 2.03651743937875, 2.57894825178105,          2.14268529299874, 2.00925132829891, 2.67147237000904,          2.67483404440455, 2.67483404440455, 2.53413597667736,          2.72285479219865, 2.81856751915823, 2.87682745937193,          1.93537396204111, 2.86596411907387, 2.75227504535898),          PROX_MALL = c(0.712222885156031, 0.757747380414752, 1.10491400246256,          0.476611693189829, 0.446404896609829, 0.403935094648282,          0.365617038961166, 0.985446043286547, 0.264532440460292,          0.387042201482337, 0.894914409230097, 0.977306285381771,          0.977306285381771, 1.33824767405872, 1.40144317349524,          1.4733570331857, 1.52964479685301, 1.9342939090943, 2.02812113432733,          2.11322307221905), PROX_CHAS = c(0.19769969897302, 0.152169077912936,          0.197049444171332, 0.10259225576309, 0.0766942583569258,          0.0679258481743644, 0.0929349198733403, 0.418063314797021,          0.12619956254809, 0.134421273847083, 0.468632365618207,          0.389404577789016, 0.389404577789016, 0.335243362149438,          0.150676124399865, 0.100781853121145, 0.123680988169118,          0.147762521806201, 0.0418426354504526, 0.1333322783253         ), PROX_SUPERMARKET = c(0.255985378039003, 0.21094349839638,          0.145490551360364, 0.134806953278168, 0.11965836137487,          0.0895469396191502, 0.0785030623714358, 0.471666412940503,          0.178930757423705, 0.0393286469640316, 0.541263540151477,          0.457775852816324, 0.457775852816324, 0.400791637001426,          0.216512452964216, 0.154588063793208, 0.15284622075069,          0.185503456748824, 0.6226371739075, 0.475213328012689         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 1L, 1L,          1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 3L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(0L, 0L, 3L, 3L, 3L, 3L,          3L, 1L, 4L, 4L, 2L, 1L, 1L, 2L, 4L, 4L, 5L, 3L, 3L, 2L         ), WITHIN_350M_BUS = c(2L, 2L, 4L, 6L, 6L, 6L, 8L, 3L,          7L, 8L, 4L, 4L, 4L, 4L, 7L, 8L, 9L, 6L, 6L, 6L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 3L,          3L, 3L, 3L, 3L, 2L), DNeighbour = c(0, 39.6687185880202,          390.461542998477, 451.289475837812, 458.916496171402,          502.461361072498, 532.250664587988, 532.970390795858,          537.523931212659, 571.437870123483, 583.055960727431,          609.900604515442, 609.941695228928, 730.149550888663,          857.21734350987, 957.80938425207, 1023.81009351678, 1223.85251519388,          1402.10420884559, 1448.68711583747)), row.names = c("388",      "841", "492", "756", "23", "536", "297", "168", "453", "930",      "529", "46", "322", "171", "611", "187", "948", "809", "1",      "200"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998500956292614,      0.859986796878927, 0.81533255347696, 0.809369804020391, 0.773876710959947,      0.748252176982522, 0.747620318033699, 0.743609146711781,      0.713023915598416, 0.702271338389027, 0.676929188457461,      0.676889888372564, 0.556480455137011, 0.42232747576773, 0.31682448686521,      0.250553064549376, 0.0819740159668068, 0.00400392229556141,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4144984114 
R squared (OOB):                  0.8179712 

$Forests[[389]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(680000, 8e+05, 680000,      753000, 685000, 748000, 620000, 912000, 945500, 476000, 475000,      7e+05, 438888, 537000, 375000, 5e+05, 355000, 407000, 688000,      510000), floor_area_sqm = c(85, 90, 91, 87, 93, 107, 103,      87, 87, 103, 103, 93, 80, 106, 82, 103, 82, 82, 85, 93),          storey_order = c(2L, 7L, 3L, 5L, 4L, 2L, 2L, 3L, 8L,          2L, 2L, 1L, 4L, 4L, 3L, 1L, 2L, 5L, 4L, 4L), remaining_lease_mths = c(1066,          1063, 984, 1104, 1115, 899, 911, 1142, 1143, 774, 781,          625, 601, 760, 645, 773, 656, 661, 964, 746), PROX_CBD = c(2.96405104980333,          2.97610984462207, 2.86455481676114, 2.5775653440094,          2.56060478168524, 2.52364731081334, 2.86182045335715,          2.51922626320824, 2.51922626320824, 3.09516181063763,          3.09516181063763, 2.09358084499411, 3.37234644442932,          3.12641734116327, 3.68559345068932, 3.24578829573265,          3.73116287154914, 3.63085360417079, 3.98134497452694,          3.46549777590634), PROX_ELDERLYCARE = c(0.206690358794928,          0.249991250520312, 0.111411798512938, 0.283170941801308,          0.303984777605612, 0.132133546591398, 0.334062202372697,          1.25853619714168e-06, 1.25853619714168e-06, 0.614909460801077,          0.614909460801077, 0.442569764285143, 0.401810150563083,          0.570344367187993, 0.466665237090727, 0.461566734593474,          0.501456868829436, 0.233260955843543, 0.168717999980802,          0.22080460703487), PROX_HAWKER = c(0.344572110572533,          0.405863058813757, 0.302651224916382, 0.447120961378381,          0.450094806637729, 0.315417458803045, 0.231089093207534,          0.187177165934232, 0.187177165934232, 0.524942013349153,          0.524942013349153, 0.103399879312882, 0.449139985411189,          0.582032517556358, 0.28293755865871, 0.461305554076076,          0.311969910328466, 0.0974836441417274, 0.262344394473714,          0.288924403117312), PROX_MRT = c(0.377919714857806, 0.337225216160626,          0.391395986196982, 0.499107329029013, 0.546591463865751,          0.277076743329557, 0.819080841065402, 0.243725266054354,          0.243725266054354, 1.19880844528061, 1.19880844528061,          0.681532284353367, 0.537190991659238, 1.19588154804183,          1.17490863944549, 1.11057161001852, 1.10221151459309,          0.897060452829867, 0.310254962870727, 0.855873415641472         ), PROX_PARK = c(0.495024008458079, 0.4671588721782,          0.399002951856213, 0.18481391877062, 0.21329655328302,          0.163253442595557, 0.609617368578913, 0.28862748451296,          0.28862748451296, 0.971409228458194, 0.971409228458194,          0.400473707610266, 0.408351250353425, 0.971029675538415,          0.304435062988112, 0.856773721705297, 0.271761978726623,          0.512523364266062, 0.894232249415992, 0.78484111030831         ), PROX_GOOD_PRISCH = c(4.62297298452196, 4.56048774292729,          4.71207116352008, 4.89009258041755, 4.93746215949662,          4.61812725480087, 5.1514664212482, 4.50145006484821,          4.50145006484821, 5.46565510857314, 5.46565510857314,          4.81109980295855, 3.70512913004722, 5.52416256345089,          5.15997579188296, 5.51078547454581, 5.22570836776045,          5.4842432173218, 3.868083844602, 5.67094725420518), PROX_MALL = c(0.404565296260845,          0.362094853274792, 0.420489734799516, 0.524781909718914,          0.572150632107275, 0.290995843291254, 0.848351644608041,          0.244046547559164, 0.244046547559164, 1.2281628510896,          1.2281628510896, 0.685370188976197, 0.743612757274357,          1.29251563056945, 1.3376464242075, 1.33172083977874,          1.41171259857663, 1.51733094855201, 1.18273225000282,          1.56665946009711), PROX_CHAS = c(0.0506108453744785,          0.111500209373212, 0.110042750971165, 0.0301364724824846,          0.0640474788759872, 0.0122221533760307, 0.159666076311523,          0.0462846720247782, 0.0462846720247782, 0.240903750709302,          0.240903750709302, 0.165994533154508, 0.499618186459994,          0.202999736112437, 0.216565147674259, 0.0869328465249217,          0.261237260735983, 0.318203164684035, 0.145112311632742,          0.173647795570322), PROX_SUPERMARKET = c(0.0506107476035619,          0.111500172768761, 0.110042446678578, 0.275738565320567,          0.315915165677582, 0.0373112013983995, 0.360029455717415,          0.169442491353445, 0.169442491353445, 0.240902416159861,          0.240902416159861, 0.346795592234613, 0.499617451823641,          0.202998478162502, 0.252487697752149, 0.0869315055470345,          0.301923436189205, 0.318204198369299, 0.252387257990654,          0.173649067116538), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L,          0L, 1L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          4L, 4L, 4L, 6L, 3L, 4L, 4L, 2L, 2L, 4L, 2L, 2L, 3L, 2L,          3L, 1L, 3L, 1L), WITHIN_350M_BUS = c(7L, 4L, 7L, 3L,          3L, 6L, 4L, 4L, 4L, 4L, 4L, 7L, 8L, 5L, 10L, 6L, 9L,          11L, 12L, 9L), WITHIN_1KM_PRISCH = c(4L, 3L, 4L, 2L,          3L, 2L, 3L, 2L, 2L, 3L, 3L, 1L, 3L, 2L, 2L, 2L, 2L, 2L,          1L, 2L), DNeighbour = c(0, 61.6735296962504, 120.323331441641,          424.913162683169, 462.470952082658, 473.418931861366,          530.349798426364, 536.711333678263, 537.717426968778,          869.556795670149, 875.384799304154, 886.567389457073,          915.833766833166, 930.959914031278, 936.718597162607,          952.422266914408, 1014.89067050027, 1114.35678237899,          1145.51540155651, 1179.36169276707)), row.names = c("389",      "319", "968", "999", "390", "65", "561", "550", "816", "126",      "134", "824", "69", "48", "683", "192", "432", "742", "375",      "454"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994538155393105,      0.979290506056536, 0.757231580338744, 0.716103252885301,      0.703689928736954, 0.63644796868213, 0.628684814472537, 0.627452971276686,      0.208275339269481, 0.201655267678071, 0.189133297798289,      0.157584793760882, 0.142042603862717, 0.13627371363944, 0.120981291092121,      0.067323062597893, 0.0114917054127017, 0.00320061990617242,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9580422936 
R squared (OOB):                  0.6767107 

$Forests[[390]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(685000, 753000, 680000,      748000, 620000, 680000, 945500, 912000, 8e+05, 7e+05, 476000,      475000, 537000, 5e+05, 375000, 510000, 407000, 355000, 438888,      830000), floor_area_sqm = c(93, 87, 91, 107, 103, 85, 87,      87, 90, 93, 103, 103, 106, 103, 82, 93, 82, 82, 80, 94),          storey_order = c(4L, 5L, 3L, 2L, 2L, 2L, 8L, 3L, 7L,          1L, 2L, 2L, 4L, 1L, 3L, 4L, 5L, 2L, 4L, 9L), remaining_lease_mths = c(1115,          1104, 984, 899, 911, 1066, 1143, 1142, 1063, 625, 774,          781, 760, 773, 645, 746, 661, 656, 601, 1088), PROX_CBD = c(2.56060478168524,          2.5775653440094, 2.86455481676114, 2.52364731081334,          2.86182045335715, 2.96405104980333, 2.51922626320824,          2.51922626320824, 2.97610984462207, 2.09358084499411,          3.09516181063763, 3.09516181063763, 3.12641734116327,          3.24578829573265, 3.68559345068932, 3.46549777590634,          3.63085360417079, 3.73116287154914, 3.37234644442932,          1.64296215322618), PROX_ELDERLYCARE = c(0.303984777605612,          0.283170941801308, 0.111411798512938, 0.132133546591398,          0.334062202372697, 0.206690358794928, 1.25853619714168e-06,          1.25853619714168e-06, 0.249991250520312, 0.442569764285143,          0.614909460801077, 0.614909460801077, 0.570344367187993,          0.461566734593474, 0.466665237090727, 0.22080460703487,          0.233260955843543, 0.501456868829436, 0.401810150563083,          0.294850727643248), PROX_HAWKER = c(0.450094806637729,          0.447120961378381, 0.302651224916382, 0.315417458803045,          0.231089093207534, 0.344572110572533, 0.187177165934232,          0.187177165934232, 0.405863058813757, 0.103399879312882,          0.524942013349153, 0.524942013349153, 0.582032517556358,          0.461305554076076, 0.28293755865871, 0.288924403117312,          0.0974836441417274, 0.311969910328466, 0.449139985411189,          0.280083683397779), PROX_MRT = c(0.546591463865751, 0.499107329029013,          0.391395986196982, 0.277076743329557, 0.819080841065402,          0.377919714857806, 0.243725266054354, 0.243725266054354,          0.337225216160626, 0.681532284353367, 1.19880844528061,          1.19880844528061, 1.19588154804183, 1.11057161001852,          1.17490863944549, 0.855873415641472, 0.897060452829867,          1.10221151459309, 0.537190991659238, 0.262926729358016         ), PROX_PARK = c(0.21329655328302, 0.18481391877062,          0.399002951856213, 0.163253442595557, 0.609617368578913,          0.495024008458079, 0.28862748451296, 0.28862748451296,          0.4671588721782, 0.400473707610266, 0.971409228458194,          0.971409228458194, 0.971029675538415, 0.856773721705297,          0.304435062988112, 0.78484111030831, 0.512523364266062,          0.271761978726623, 0.408351250353425, 0.366095429090919         ), PROX_GOOD_PRISCH = c(4.93746215949662, 4.89009258041755,          4.71207116352008, 4.61812725480087, 5.1514664212482,          4.62297298452196, 4.50145006484821, 4.50145006484821,          4.56048774292729, 4.81109980295855, 5.46565510857314,          5.46565510857314, 5.52416256345089, 5.51078547454581,          5.15997579188296, 5.67094725420518, 5.4842432173218,          5.22570836776045, 3.70512913004722, 6.02306971378175),          PROX_MALL = c(0.572150632107275, 0.524781909718914, 0.420489734799516,          0.290995843291254, 0.848351644608041, 0.404565296260845,          0.244046547559164, 0.244046547559164, 0.362094853274792,          0.685370188976197, 1.2281628510896, 1.2281628510896,          1.29251563056945, 1.33172083977874, 1.3376464242075,          1.56665946009711, 1.51733094855201, 1.41171259857663,          0.743612757274357, 0.44820920236387), PROX_CHAS = c(0.0640474788759872,          0.0301364724824846, 0.110042750971165, 0.0122221533760307,          0.159666076311523, 0.0506108453744785, 0.0462846720247782,          0.0462846720247782, 0.111500209373212, 0.165994533154508,          0.240903750709302, 0.240903750709302, 0.202999736112437,          0.0869328465249217, 0.216565147674259, 0.173647795570322,          0.318203164684035, 0.261237260735983, 0.499618186459994,          0.0951865321113252), PROX_SUPERMARKET = c(0.315915165677582,          0.275738565320567, 0.110042446678578, 0.0373112013983995,          0.360029455717415, 0.0506107476035619, 0.169442491353445,          0.169442491353445, 0.111500172768761, 0.346795592234613,          0.240902416159861, 0.240902416159861, 0.202998478162502,          0.0869315055470345, 0.252487697752149, 0.173649067116538,          0.318204198369299, 0.301923436189205, 0.499617451823641,          0.28799517805095), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L,          0L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L,          6L, 3L, 3L, 4L, 4L, 3L, 4L, 2L, 2L, 2L, 2L, 3L, 1L, 1L,          3L, 2L, 6L), WITHIN_350M_BUS = c(3L, 3L, 7L, 6L, 4L,          7L, 4L, 4L, 4L, 7L, 4L, 4L, 5L, 6L, 10L, 9L, 11L, 9L,          8L, 9L), WITHIN_1KM_PRISCH = c(3L, 2L, 4L, 2L, 3L, 4L,          2L, 2L, 3L, 1L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 1L         ), DNeighbour = c(0, 49.8313683525313, 343.04505022893,          356.947148512646, 400.110740980236, 462.470952082658,          483.492280166824, 489.363734199613, 497.430666025573,          566.270769228629, 782.244606421266, 787.31348755987,          842.229844397515, 917.451057998688, 1165.49587404836,          1177.71889074886, 1220.89807664307, 1228.64020381463,          1286.70401923693, 1346.02988719705)), row.names = c("390",      "999", "968", "65", "561", "389", "816", "550", "319", "824",      "126", "134", "48", "192", "683", "454", "742", "432", "69",      "850"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.997260769988073,      0.874314655993084, 0.864299011764744, 0.831089230478344,      0.777838908421337, 0.758599616687524, 0.753117675126408,      0.745511150124782, 0.677352065724066, 0.438595260814765,      0.432798306652234, 0.370250219757252, 0.286679277696177,      0.0626288640730416, 0.0549665416787539, 0.0314299729388151,      0.0278281429957407, 0.00743161705564418, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11964780533 
R squared (OOB):                  0.6230911 

$Forests[[391]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(373888, 375000, 333000,      335000, 333000, 340000, 360000, 358000, 337000, 333000, 320000,      395000, 4e+05, 324000, 368888, 380000, 364000, 330000, 375000,      394000), floor_area_sqm = c(93, 93, 90, 100, 103, 105, 105,      101, 105, 100, 100, 92, 92, 90, 92, 92, 100, 102, 92, 92),          storey_order = c(5L, 5L, 2L, 4L, 1L, 1L, 3L, 3L, 1L,          4L, 4L, 3L, 4L, 4L, 4L, 4L, 2L, 1L, 2L, 5L), remaining_lease_mths = c(990,          993, 1009, 930, 953, 956, 960, 960, 947, 928, 930, 1132,          1145, 929, 1143, 1135, 921, 911, 1135, 1142), PROX_CBD = c(17.8363687874637,          17.8363687874637, 17.8072819651564, 17.9186379864086,          17.7412802518209, 17.6472423100513, 17.6410789876396,          17.5852868111176, 17.5852868111176, 18.2095446148373,          18.242108360018, 18.4477570786683, 18.4659506582063,          18.3448727328387, 18.528449956106, 18.528449956106, 17.9386403893839,          18.2320763538069, 18.5586196198757, 18.5586196198757),          PROX_ELDERLYCARE = c(1.40920769604983, 1.40920769604983,          1.52664538751384, 1.13507400842797, 1.00357172816211,          1.0260991137238, 0.969292416022308, 0.979721953613503,          0.979721953613503, 1.17430183890643, 1.08331104464233,          1.45029388933935, 1.40960952841152, 1.12000720290482,          1.49671415705568, 1.49671415705568, 0.714833653499633,          0.927534095024191, 1.41981179339616, 1.41981179339616         ), PROX_HAWKER = c(0.692541487012902, 0.692541487012902,          0.809141875883089, 0.435091735724103, 0.286367973105455,          0.322354465675231, 0.270187519380927, 0.300047945510982,          0.300047945510982, 0.579651089601917, 0.548257960059823,          0.879695992543251, 0.861254406292383, 0.636376603494217,          0.947708217710491, 0.947708217710491, 0.201936965562497,          0.493410913505403, 0.915906485722884, 0.915906485722884         ), PROX_MRT = c(0.634260663268818, 0.634260663268818,          0.753928873695942, 0.364011265623101, 0.240079810641839,          0.296963624455722, 0.253083991654003, 0.294966346549802,          0.294966346549802, 0.501132314022455, 0.47401652613315,          0.801027338961469, 0.783375472664302, 0.565211037998289,          0.869531291623609, 0.869531291623609, 0.168914117564514,          0.433316978327494, 0.839968978875504, 0.839968978875504         ), PROX_PARK = c(2.04440878541867, 2.04440878541867,          1.93736074272598, 2.31505119222808, 2.28949331488756,          2.2163258228061, 2.26013213847351, 2.22462050149276,          2.22462050149276, 2.25371860749481, 2.12857307310705,          2.38376543636855, 2.321508063195, 2.08056453235766, 2.37596217173297,          2.37596217173297, 1.99379565561889, 1.96114614265628,          2.25577949184332, 2.25577949184332), PROX_GOOD_PRISCH = c(8.25468587074647,          8.25468587074647, 8.21423979230025, 8.3676789538936,          8.20478390995202, 8.10862356805264, 8.10977708422392,          8.05369522760851, 8.05369522760851, 8.6635222339794,          8.71021480286832, 8.8804818877731, 8.90481615501782,          8.81498363377987, 8.9605147002348, 8.9605147002348, 8.4444135457925,          8.72297519828522, 9.00274768401056, 9.00274768401056),          PROX_MALL = c(0.630636123898788, 0.630636123898788, 0.745769461616378,          0.384238747959315, 0.222110908162432, 0.255877276101632,          0.204458422444813, 0.237472256939882, 0.237472256939882,          0.468966497593582, 0.347669457974494, 0.601716003339109,          0.542775018358786, 0.284195187673565, 0.613385110580272,          0.613385110580272, 0.238372860218233, 0.22704735136933,          0.5054917244252, 0.5054917244252), PROX_CHAS = c(0.221589023831152,          0.221589023831152, 0.195830090979757, 0.360842629752134,          0.222110881748482, 0.212266026856788, 0.201289943337815,          0.145295883687343, 0.145295883687343, 0.3998394205418,          0.274735402884708, 0.260006933015678, 0.20305264112251,          0.24769320941352, 0.220932244035638, 0.220932244035638,          0.076984763134016, 0.11607611654581, 0.101888085354885,          0.101888085354885), PROX_SUPERMARKET = c(0.22158921197453,          0.22158921197453, 0.265666518411173, 0.360842909613722,          0.222110358133712, 0.255876154174577, 0.204457160029983,          0.237470779768967, 0.237470779768967, 0.402574253870019,          0.347668959247477, 0.260005577706646, 0.203051245143547,          0.284194910851331, 0.220931072377982, 0.220931072377982,          0.171190500184261, 0.227046556279957, 0.101886801165025,          0.101886801165025), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L,          0L, 1L, 2L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          2L, 1L, 5L, 6L, 5L, 5L, 5L, 2L, 3L, 3L, 3L, 5L, 3L, 3L,          6L, 5L, 3L, 3L), WITHIN_350M_BUS = c(6L, 6L, 4L, 11L,          16L, 13L, 15L, 15L, 15L, 8L, 7L, 8L, 6L, 8L, 6L, 6L,          8L, 10L, 5L, 5L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 5L, 4L,          4L, 4L), DNeighbour = c(0, 10.1469878252374, 118.046106856357,          307.687978251768, 416.744349614759, 426.740213085387,          477.048355903281, 496.773627664067, 503.839384716276,          516.383801981924, 629.852041234311, 638.4618572885, 672.080008842986,          714.743593096835, 717.593350647269, 718.971336738611,          744.775690431713, 766.180944477022, 781.776364467165,          782.645312392501)), row.names = c("391", "118", "358",      "590", "242", "554", "615", "224", "800", "243", "608", "504",      "777", "512", "875", "102", "638", "443", "35", "581"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999663846377729, 0.955018385706368, 0.714772421949281,      0.513319488891721, 0.49378512199508, 0.394973527445597, 0.356539687684821,      0.342888801519796, 0.31885600355434, 0.124143444062583, 0.11189857714885,      0.0689508728326714, 0.0275531216852362, 0.0253852561154607,      0.024365881637189, 0.00891742575174077, 0.00173314770373699,      4.92532845571659e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       339311650 
R squared (OOB):                  0.4803481 

$Forests[[392]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(432000, 431000, 438000,      425000, 430000, 450000, 420000, 425000, 395000, 450000, 445000,      432000, 393000, 358000, 456500, 435000, 385000, 440000, 441000,      448000), floor_area_sqm = c(92, 92, 94, 94, 92, 94, 94, 94,      94, 93, 94, 93, 93, 93, 92, 95, 93, 96, 93, 96), storey_order = c(6L,      7L, 5L, 5L, 6L, 7L, 7L, 6L, 4L, 9L, 6L, 5L, 2L, 1L, 8L, 6L,      1L, 7L, 6L, 9L), remaining_lease_mths = c(1137, 1138, 1076,      1083, 1126, 1119, 1120, 1119, 1113, 1136, 1109, 1138, 1134,      1103, 1144, 1105, 1134, 1108, 1097, 1110), PROX_CBD = c(11.9317097346946,      11.9317097346946, 11.9414743986494, 11.8751655684431, 12.0797672032522,      12.0119641769274, 12.0119641769274, 11.9828723130509, 11.9744040829633,      12.1741021183779, 12.1122271384014, 11.7767430748854, 11.7767430748854,      11.8075546541859, 11.9527102757424, 11.6071858552171, 11.6526890235784,      11.6053344020152, 11.8078122246038, 11.5810624146691), PROX_ELDERLYCARE = c(0.680106913101551,      0.680106913101551, 0.687500817542951, 0.727329111385366,      0.550577233037288, 0.673044116243487, 0.673044116243487,      0.710325725805382, 0.738781707341689, 0.519600844901231,      0.629785153682861, 0.813774711283767, 0.813774711283767,      0.922118515238085, 0.819362766143575, 1.02315858897206, 0.935812608446987,      1.04503450829128, 0.95260617550949, 1.05973522725621), PROX_HAWKER = c(0.161367564791002,      0.161367564791002, 0.147098227142532, 0.145379780608352,      0.286867197183981, 0.222580914455278, 0.222580914455278,      0.20448046373977, 0.217370340361849, 0.375471053349032, 0.337796349528525,      0.340776861445006, 0.340776861445006, 0.209140712961875,      0.27814297307049, 0.193888136950838, 0.34883542271072, 0.210992660312359,      0.262687630178652, 0.226379932511381), PROX_MRT = c(0.214149342621172,      0.214149342621172, 0.183575431830776, 0.191731142133254,      0.285059794417971, 0.201095784108649, 0.201095784108649,      0.170867756883987, 0.167322140356011, 0.338849049026276,      0.302747284955937, 0.162476645519961, 0.162476645519961,      0.120215557602138, 0.200702114351669, 0.216093917824789,      0.28284034831035, 0.206803096961617, 0.173777829752023, 0.233016580221366     ), PROX_PARK = c(0.785212145526225, 0.785212145526225, 0.807374064658721,      0.723512884628395, 0.747342190235743, 0.691047645736797,      0.691047645736797, 0.697136724289492, 0.679906922269617,      0.612679613149166, 0.576425078157325, 0.615413214289157,      0.615413214289157, 0.747098338531098, 0.643017670933737,      0.521580333579447, 0.489736206412745, 0.554363925008431,      0.746013140888617, 0.520771390450273), PROX_GOOD_PRISCH = c(2.20126444296921,      2.20126444296921, 2.21615815400514, 2.14229157607785, 2.35145083667271,      2.29976812492723, 2.29976812492723, 2.27447890050516, 2.27223739349538,      2.45580221931744, 2.408030235171, 2.03585243074848, 2.03585243074848,      2.12338877581429, 2.270018309959, 1.89230283405924, 1.91178525383739,      1.90056431650247, 2.13533890725473, 1.87254500118751), PROX_MALL = c(0.255684281538694,      0.255684281538694, 0.22663965361209, 0.249449426365425, 0.356578632219481,      0.251262654177611, 0.251262654177611, 0.220402811054307,      0.214069216816763, 0.416829357908565, 0.350899017798137,      0.437539575450179, 0.437539575450179, 0.119447773727589,      0.232344363503357, 0.173810560938293, 0.427385274755512,      0.158081786709397, 0.17025857997445, 0.185878129611589),          PROX_CHAS = c(0.203726500797623, 0.203726500797623, 0.156140837156126,          0.179410689617013, 0.146949814741425, 0.131248018016709,          0.131248018016709, 0.0995919009989899, 0.0939357367291076,          0.0461624602204791, 0.0703863092474096, 0.108183414657245,          0.108183414657245, 0.11944771257822, 0.146038815472653,          0.173810611614792, 0.225869963934761, 0.158081821824728,          0.170258520163124, 0.185878170229198), PROX_SUPERMARKET = c(0.217804588957955,          0.217804588957955, 0.236998053946951, 0.179159947933279,          0.315486318912089, 0.261515416493987, 0.261515416493987,          0.230351837454113, 0.22318738818849, 0.427183407476201,          0.360308355053667, 0.108294583955479, 0.108294583955479,          0.119571834445138, 0.237998550380205, 0.1671684124578,          0.225911825558638, 0.148884454693003, 0.168966076328732,          0.177355035948325), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L,          0L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 7L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 3L, 3L, 4L, 5L, 4L,          3L, 4L, 4L, 4L), WITHIN_350M_BUS = c(8L, 8L, 8L, 6L,          9L, 6L, 6L, 7L, 10L, 5L, 7L, 4L, 4L, 10L, 12L, 6L, 4L,          8L, 11L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 3L, 3L, 3L, 4L, 3L, 3L,          3L), DNeighbour = c(0, 8.2075521736654, 54.4846091817222,          63.069069908412, 152.293149960573, 177.339799696839,          179.875261202123, 196.113034785367, 227.88575853035,          274.584683554119, 285.33750417876, 296.707271032144,          298.803897509464, 319.001066720717, 320.241248521165,          336.590259808203, 356.447542122827, 367.275433851874,          376.472677402455, 382.647947856802)), row.names = c("392",      "613", "781", "250", "900", "947", "167", "203", "858", "621",      "607", "325", "939", "724", "749", "922", "309", "158", "439",      "182"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999080061896944,      0.959862169661391, 0.946404971729729, 0.708286394774433,      0.616555060913298, 0.606879193123561, 0.543652256116918,      0.416439068530066, 0.235286411537606, 0.197085811299493,      0.158998789231518, 0.152271031557115, 0.0930243274670941,      0.089750858019957, 0.0511861204050959, 0.0174911991153603,      0.0061990627103346, 0.00102502862624146, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       562671625 
R squared (OOB):                  0.1146175 

$Forests[[393]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(282000, 330000, 349000,      371000, 279000, 305000, 316000, 318000, 295000, 320000, 320000,      375000, 288000, 3e+05, 370000, 355000, 359900, 360000, 312000,      380000), floor_area_sqm = c(84, 115, 103, 100, 91, 91, 92,      91, 84, 104, 84, 92, 84, 96, 93, 93, 93, 99, 101, 105), storey_order = c(1L,      1L, 2L, 2L, 2L, 4L, 3L, 1L, 4L, 4L, 4L, 4L, 3L, 4L, 5L, 3L,      3L, 3L, 2L, 2L), remaining_lease_mths = c(836, 898, 832,      918, 801, 791, 781, 765, 875, 893, 885, 783, 893, 791, 1106,      1111, 1117, 915, 933, 910), PROX_CBD = c(18.5087583118065,      18.4399301385868, 18.0642207733449, 17.9318121245061, 18.2989051402725,      18.2610111258248, 18.2234963781047, 18.2234963781047, 18.4249149071789,      18.4249149071789, 18.3433564216417, 18.1857629477019, 18.3632948597919,      18.5761736305699, 18.8127816342995, 18.8127816342995, 18.8127816342995,      17.6482187406162, 18.4625985868209, 17.589085398281), PROX_ELDERLYCARE = c(0.855934448185717,      0.789710764787337, 0.558648465009425, 0.559180828327224,      0.397078044127006, 0.421521882373529, 0.448333702611612,      0.448333702611612, 0.705240184131779, 0.705240184131779,      0.623669944895056, 0.47723779098819, 0.645296274244347, 0.0638277150498875,      0.176499517448139, 0.176499517448139, 0.176499517448139,      0.399377154365588, 0.765079897684544, 0.387351173411546),          PROX_HAWKER = c(1.00705768005988, 1.26661829972954, 1.20831273824173,          1.18812307179958, 0.491047773869601, 0.453171307776496,          0.416527045274471, 0.416527045274471, 1.0161652570538,          1.0161652570538, 0.960648791795978, 0.380157991945912,          0.921741667576702, 0.562029876499453, 0.325560722493799,          0.325560722493799, 0.325560722493799, 1.11261554439583,          0.906262708365532, 0.776912813652288), PROX_MRT = c(0.534460782086299,          0.715824290886542, 0.387700307898407, 0.256828620430729,          0.552168886353884, 0.547550551918807, 0.545975779093886,          0.545975779093886, 0.906393011935236, 0.906393011935236,          0.899458799363821, 0.548087095608087, 0.927224403125457,          0.874368880716004, 1.04083770509984, 1.04083770509984,          1.04083770509984, 0.417091391951799, 0.897303014326537,          0.371614593402704), PROX_PARK = c(0.516289874277036,          0.859791414716402, 1.04306097562022, 1.11695175135574,          0.287159802467115, 0.272660801967067, 0.264257474455249,          0.264257474455249, 1.13759587953072, 1.13759587953072,          1.17596756648915, 0.261695126667213, 1.22890358268929,          0.287868908027907, 0.51923222906617, 0.51923222906617,          0.51923222906617, 1.38656874841243, 1.31620863428189,          0.925923962472294), PROX_GOOD_PRISCH = c(9.25922423900801,          9.10971468714541, 8.76549326341746, 8.65275846320069,          9.19982386356694, 9.16752282736586, 9.1355701416359,          9.1355701416359, 9.03817471771729, 9.03817471771729,          8.95760590087653, 9.10363750169146, 8.96505409295358,          9.51590189269927, 9.7422556358987, 9.7422556358987, 9.7422556358987,          8.34983568407236, 9.04019528068803, 8.43639308613493),          PROX_MALL = c(0.521454353681198, 0.107021299056373, 0.424594513900518,          0.417130987397582, 0.486326630506135, 0.448092738738542,          0.411037179701155, 0.411037179701155, 0.204519313237763,          0.204519313237763, 0.22079632378696, 0.374195605351922,          0.282416841692855, 0.624506085881379, 0.856774663098642,          0.856774663098642, 0.856774663098642, 0.439097430243665,          0.414588198127445, 0.232188905247248), PROX_CHAS = c(0.521454374874156,          0.107021320216693, 0.124680964632411, 0.259891808560044,          0.0660681856594747, 0.0964740211655948, 0.132763801624598,          0.132763801624598, 0.20451929737041, 0.20451929737041,          0.167893491583302, 0.172021358032342, 0.231219576578415,          0.0792988689034794, 0.2593611752042, 0.2593611752042,          0.2593611752042, 0.414359256629807, 0.399223798550346,          0.0713809516165408), PROX_SUPERMARKET = c(0.521454611985023,          0.107021556198121, 0.424593495373258, 0.438907970807184,          0.490326509583637, 0.457654559995222, 0.421116980529575,          0.421116980529575, 0.204519239868594, 0.204519239868594,          0.220795796105544, 0.38486207983901, 0.282416494634945,          0.625539331690589, 0.856773769273042, 0.856773769273042,          0.856773769273042, 0.441697647833666, 0.414588227521533,          0.238177195426237), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L,          0L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 4L,          2L, 3L, 2L, 2L, 2L, 2L, 7L, 7L, 8L, 2L, 8L, 2L, 1L, 1L,          1L, 3L, 6L, 2L), WITHIN_350M_BUS = c(4L, 7L, 7L, 9L,          6L, 6L, 6L, 6L, 9L, 9L, 8L, 4L, 8L, 10L, 16L, 16L, 16L,          9L, 8L, 8L), WITHIN_1KM_PRISCH = c(4L, 3L, 6L, 7L, 4L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 1L, 1L, 1L, 7L, 5L,          5L), DNeighbour = c(0, 417.087687304886, 525.396743605542,          608.23893491875, 664.81952517423, 691.541728485257, 723.352191064849,          724.306655874973, 728.258423470792, 730.77399425791,          739.82939745715, 755.240995860152, 801.747197325047,          830.967097854564, 872.977939276592, 876.485270872201,          879.092123154319, 923.464837412445, 932.446277958528,          966.147445656083)), row.names = c("393", "247", "773",      "976", "433", "905", "202", "47", "265", "738", "953", "733",      "864", "78", "637", "418", "604", "891", "729", "464"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.661999423716866, 0.496003378299756, 0.364412327139545,      0.277201413889578, 0.237821827520182, 0.193118088425412,      0.19181926910577, 0.186470466174284, 0.183090067579228, 0.171084632642421,      0.15127384561619, 0.0969491616780736, 0.0677337306787205,      0.0336974181315, 0.0313272629961124, 0.0296157363572646,      0.00746575385840635, 0.00469872836781624, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       851209492 
R squared (OOB):                  0.2246005 

$Forests[[394]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(336000, 335000, 345000,      420000, 420000, 380000, 323000, 340000, 370000, 325000, 390000,      310000, 325000, 295000, 345000, 380000, 370000, 350000, 345000,      343000), floor_area_sqm = c(104, 101, 102, 92, 93, 93, 104,      101, 93, 90, 126, 104, 104, 105, 104, 93, 103, 104, 103,      102), storey_order = c(4L, 2L, 2L, 6L, 3L, 1L, 3L, 5L, 1L,      4L, 2L, 1L, 1L, 1L, 4L, 1L, 4L, 2L, 5L, 5L), remaining_lease_mths = c(958,      933, 935, 1104, 1139, 1138, 956, 943, 1139, 912, 879, 879,      872, 870, 862, 1142, 881, 863, 944, 935), PROX_CBD = c(16.2237683329895,      16.135389698045, 16.0814208174046, 16.0058570800758, 15.9652529785268,      15.9652529785268, 16.3822081442679, 15.9284058495794, 15.8422849591204,      16.3759795802925, 16.1769042321823, 15.9652370890998, 15.9652370890998,      16.027241877126, 16.2035530975804, 15.6174435761395, 15.9139497277605,      15.9139497277605, 15.6615925135045, 15.6558233565228), PROX_ELDERLYCARE = c(0.233700982090528,      0.214357316635524, 0.129424766752979, 0.0922651494707867,      0.120425003900544, 0.120425003900544, 0.317064501792404,      0.260351961534281, 0.241353796602158, 0.437652472603004,      0.382017171357745, 0.372962984236141, 0.372962984236141,      0.401697186037664, 0.462412199513001, 0.457575537702088,      0.471057675436291, 0.471057675436291, 0.372854461013726,      0.268146833149962), PROX_HAWKER = c(2.48966457045008, 2.40272097648418,      2.40830007300065, 2.393526972262, 2.36922200206298, 2.36922200206298,      2.76474077583521, 2.2342618496891, 2.37354129025836, 2.71828200917597,      2.55739022352562, 2.45115541279444, 2.45115541279444, 2.44772974464855,      2.51024920878341, 2.21004723991438, 2.34701070601947, 2.34701070601947,      2.39243139523594, 2.27183532495414), PROX_MRT = c(1.11461848888664,      1.09323648573999, 1.00126993569874, 0.910164710677637, 0.886101680623091,      0.886101680623091, 1.02897813643603, 1.02417718077332, 0.721786411333246,      0.870089952652958, 0.674610535324426, 0.52727924180445, 0.52727924180445,      0.538616250543522, 0.65447898159524, 0.70935210619912, 0.424613907535265,      0.424613907535265, 0.499275570100955, 0.370313443989706),          PROX_PARK = c(1.86547668850022, 1.7942088991982, 1.7154732425778,          1.6216647961598, 1.58077599563476, 1.58077599563476,          1.73717122008599, 1.61207436869795, 1.42084473696832,          1.49155883505512, 1.39748820590438, 1.39203600576681,          1.39203600576681, 1.35146177086674, 1.32632916723033,          1.21748666352844, 1.30337713627377, 1.30337713627377,          1.19384102986047, 1.16446299803307), PROX_GOOD_PRISCH = c(6.20687623278084,          6.11593822040069, 6.0710937852797, 6.00411547246196,          5.96493131981452, 5.96493131981452, 6.39421933734494,          5.90870946924896, 5.8611108446886, 6.4246273009838, 6.23706483495109,          6.02718330754398, 6.02718330754398, 6.09534233388474,          6.27623366830878, 5.63578467655705, 5.99275530970335,          5.99275530970335, 5.71328270316738, 5.73062396037349),          PROX_MALL = c(0.36788016328609, 0.350342319635, 0.261655001598387,          0.187934498474296, 0.18546430077947, 0.18546430077947,          0.374078152135628, 0.350369242497661, 0.177442774283774,          0.409369768138594, 0.292722816398213, 0.238316612740974,          0.238316612740974, 0.275346491924215, 0.370949542105629,          0.401390812484646, 0.338688619983659, 0.338688619983659,          0.238209845871265, 0.155488337640192), PROX_CHAS = c(0.367880188789974,          0.350342354631045, 0.26165503944411, 0.187934543511456,          0.185464348558652, 0.185464348558652, 0.374078140160073,          0.35036929019185, 0.177442804982894, 0.409369730284335,          0.292722768811081, 0.238316573509266, 0.238316573509266,          0.275346446899555, 0.370949494121523, 0.187858028295528,          0.338688583692834, 0.338688583692834, 0.238209795937414,          0.155488306171375), PROX_SUPERMARKET = c(0.364697803989784,          0.352223797136593, 0.265481412722203, 0.197516435852273,          0.198556813498254, 0.198556813498254, 0.357574924056941,          0.363015443397577, 0.197153631350279, 0.389543937857684,          0.254565333705719, 0.177610526119132, 0.177610526119132,          0.141316208924405, 0.235998227482853, 0.412009517866082,          0.112474666082431, 0.112474666082431, 0.238833101010687,          0.152010752053411), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 1L, 2L, 0L, 2L, 2L, 5L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 4L), WITHIN_350M_CHILDCARE = c(2L, 2L,          5L, 5L, 5L, 5L, 1L, 3L, 7L, 2L, 8L, 6L, 6L, 8L, 5L, 3L,          9L, 9L, 5L, 8L), WITHIN_350M_BUS = c(9L, 9L, 13L, 14L,          15L, 15L, 9L, 10L, 15L, 5L, 9L, 14L, 14L, 12L, 7L, 15L,          15L, 15L, 16L, 14L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L,          2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L), DNeighbour = c(0, 92.6668731752394, 152.290864233482,          241.179546946215, 279.341380546152, 285.641178770545,          290.251137465311, 300.875197938534, 450.571217124336,          513.470098586266, 547.895375048512, 592.107532402205,          592.869218460796, 604.247260822238, 615.715248308829,          644.024137180463, 693.116861028487, 696.705249247119,          710.364083939243, 809.298384628405)), row.names = c("394",      "88", "890", "154", "137", "913", "173", "705", "585", "974",      "54", "490", "566", "463", "806", "766", "927", "959", "572",      "450"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.973950145390769,      0.930433171488102, 0.830266570318014, 0.77591646245723, 0.766372250112697,      0.759291744876598, 0.742673247538723, 0.476151369001289,      0.356954102678395, 0.293406804057578, 0.215961461771116,      0.214682545207456, 0.195843556656175, 0.1773937799213, 0.134493002791027,      0.0710263348836667, 0.0670256711845113, 0.0526930525111709,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       753213055 
R squared (OOB):                  0.3229882 

$Forests[[395]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(377000, 388000, 380000,      378000, 352000, 380000, 410000, 360000, 492500, 650000, 385000,      345000, 355000, 370000, 430000, 465000, 350000, 440000, 4e+05,      655000), floor_area_sqm = c(98, 98, 92, 84, 84, 93, 103,      83, 108, 104, 91, 84, 84, 84, 104, 104, 91, 91, 104, 87),          storey_order = c(3L, 2L, 1L, 3L, 2L, 3L, 2L, 3L, 2L,          3L, 1L, 1L, 3L, 3L, 2L, 3L, 4L, 5L, 2L, 1L), remaining_lease_mths = c(735,          728, 767, 799, 800, 790, 799, 803, 912, 815, 715, 789,          782, 777, 781, 760, 741, 669, 783, 1123), PROX_CBD = c(8.07728506382532,          8.19895861369783, 8.01258306529517, 8.15960948514705,          8.28689365911172, 7.92065359752155, 8.31972436488376,          8.52567265657093, 8.12312779702036, 7.71625132507906,          8.8262745849674, 7.23308787648785, 7.37752466520609,          7.32999369210923, 7.27303659463988, 8.64488888098128,          8.70456515841861, 6.95185067667089, 6.8579883001408,          9.39818328429371), PROX_ELDERLYCARE = c(1.22552837794249,          1.1658248464307, 1.38923408288603, 1.45090119588013,          1.3668692597991, 1.44631042678071, 1.3912791419992, 1.23693676843424,          1.71708078323557, 1.13999552495818, 0.896855030989675,          0.804640181087392, 1.11141904944431, 1.04617467786566,          0.949520652768775, 0.17844978767297, 0.1203423949077,          0.368543492371998, 0.650979480304367, 0.718190414835305         ), PROX_HAWKER = c(0.503102516785602, 0.391405491562813,          0.532883444787396, 0.40344417957638, 0.269406334629514,          0.646393168274836, 0.252588085280054, 0.0724679807682574,          0.581802643409563, 0.888477780938884, 0.311054993693233,          0.727393295990439, 1.06790139631185, 1.00458194418859,          0.905159668549179, 0.917919654697093, 0.867862446497739,          0.163396016993116, 0.732876252375814, 0.640059738279374         ), PROX_MRT = c(0.711885268750489, 0.707144761815547,          0.57194553577364, 0.408889372474398, 0.467794692056616,          0.434970780163821, 0.44379796826936, 0.510058766918036,          0.142211914808532, 0.227897729387739, 0.17731989795878,          0.626719191507479, 0.450606800129455, 0.446590670593176,          0.477339162120678, 0.91698472228942, 0.97670571404933,          0.258776848421036, 0.479854345281657, 0.401734036242065         ), PROX_PARK = c(0.413960848298732, 0.372450573927522,          0.580004121625521, 0.650146210437373, 0.570592214216024,          0.790688256163915, 0.59965919275643, 0.557643312318536,          0.921087542045637, 0.374132090410645, 0.458605630557841,          1.17683143601381, 1.30417314517193, 1.30043300411079,          1.28136359713013, 0.238119977580318, 0.288616932786395,          0.871860056746433, 1.26891760289394, 0.220484561261844         ), PROX_GOOD_PRISCH = c(2.66084492380109, 2.73491137460549,          2.75227504535898, 2.95345383530684, 2.99359805566516,          2.86596411907387, 3.04207330950824, 3.13534109620979,          3.16123688190063, 1.93537396204111, 2.8424495793979,          2.53413597667736, 2.87682745937193, 2.81856751915823,          2.72285479219865, 2.37381492496372, 2.418607930925, 1.99104033276262,          2.57894825178105, 2.27458198186913), PROX_MALL = c(2.0316459728171,          1.94983703099632, 2.11322307221905, 2.20417563031698,          2.09618768409308, 2.02812113432733, 2.10790194839897,          1.96281231550532, 2.25269448786787, 1.9342939090943,          1.64561868645684, 1.33824767405872, 1.52964479685301,          1.4733570331857, 1.40144317349524, 1.00281364182829,          0.948870628363287, 1.10491400246256, 0.985446043286547,          1.45650167595406), PROX_CHAS = c(0.279534674537085, 0.293834776478611,          0.1333322783253, 0.102408834624747, 0.229330661012247,          0.0418426354504526, 0.261198443001062, 0.169369143123463,          0.169904154790832, 0.147762521806201, 0.221229860630612,          0.335243362149438, 0.123680988169118, 0.100781853121145,          0.150676124399865, 0.256340531367836, 0.27140983829104,          0.197049444171332, 0.418063314797021, 0.109789289200213         ), PROX_SUPERMARKET = c(0.412975566732202, 0.293834967432244,          0.475213328012689, 0.391977689272912, 0.266710264104055,          0.6226371739075, 0.272257424647181, 0.169391527985645,          0.496146947525001, 0.185503456748824, 0.221249484047241,          0.400791637001426, 0.15284622075069, 0.154588063793208,          0.216512452964216, 0.24778575064029, 0.221415122113844,          0.145490551360364, 0.471666412940503, 0.13637298984998         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 1L, 1L, 1L, 2L,          1L, 1L, 2L, 3L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 2L, 2L, 2L, 3L,          3L, 3L, 1L, 3L, 2L, 2L, 5L, 4L, 4L, 4L, 4L, 3L, 1L, 6L         ), WITHIN_350M_BUS = c(6L, 7L, 6L, 7L, 7L, 6L, 9L, 8L,          8L, 6L, 5L, 4L, 9L, 8L, 7L, 8L, 9L, 4L, 3L, 6L), WITHIN_1KM_PRISCH = c(2L,          1L, 2L, 1L, 1L, 3L, 1L, 2L, 1L, 3L, 2L, 3L, 3L, 3L, 3L,          2L, 2L, 2L, 2L, 1L), DNeighbour = c(0, 121.213942675328,          157.766670594888, 301.872689426719, 329.413031643704,          374.19107548357, 377.65045754932, 510.617200741759, 573.84575103608,          731.07551615403, 751.988572398305, 888.556596251465,          919.25715199382, 930.491978896824, 931.713423212131,          1083.23660160281, 1123.05029466862, 1154.21218037713,          1287.52560465497, 1321.83928787095)), row.names = c("395",      "29", "200", "327", "266", "1", "540", "404", "669", "809",      "814", "171", "948", "187", "611", "487", "71", "492", "168",      "657"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.983252577232204,      0.971712224480988, 0.898411421981423, 0.879647654949586,      0.846149140955046, 0.843412804816653, 0.723822788643286,      0.658587422116818, 0.481786846197336, 0.457459848098868,      0.300447215990648, 0.266633962695209, 0.254492279410131,      0.253180531047919, 0.107868242611189, 0.0773728412154497,      0.0564278124692523, 0.00262596952311891, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7015945206 
R squared (OOB):                  0.1164496 

$Forests[[396]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(308000, 310000, 355000,      355000, 365000, 280000, 3e+05, 380000, 398000, 418000, 375000,      327000, 295000, 359000, 358000, 318000, 313000, 315000, 613000,      550000), floor_area_sqm = c(84, 84, 104, 104, 103, 84, 85,      108, 104, 104, 104, 84, 83, 103, 91, 84, 84, 104, 92, 92),          storey_order = c(1L, 2L, 2L, 4L, 4L, 4L, 4L, 2L, 3L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 4L, 4L, 2L), remaining_lease_mths = c(779,          787, 785, 814, 805, 809, 798, 807, 823, 794, 808, 802,          812, 799, 760, 785, 772, 777, 1119, 1124), PROX_CBD = c(14.8104288104214,          14.7686155241139, 14.7946380504301, 14.9797222810306,          14.5082496767788, 14.5514247745221, 14.6468242567931,          14.3069689320192, 14.4215550437188, 14.6249352309891,          14.2674761918172, 15.395293903354, 14.136177090114, 14.1470244070667,          15.6053010835868, 15.4237712873611, 15.5029529482698,          15.5029529482698, 15.4589251607201, 15.4589251607201),          PROX_ELDERLYCARE = c(1.14385816982861, 1.18091019396193,          1.02543356664281, 1.40865121451131, 1.0960579077266,          0.934928905143492, 0.791783477476035, 1.30284795398611,          0.933706769700102, 1.66362706878828, 1.37520258101488,          1.48326161455178, 1.52241617566094, 1.73443513584582,          1.18278326755006, 1.66429806880172, 1.60634233373903,          1.60634233373903, 0.68815946921851, 0.68815946921851),          PROX_HAWKER = c(1.03493347869974, 1.07995965555937, 0.927587772885235,          1.17708155532767, 1.06968967826483, 0.920905853639359,          0.771377618176498, 1.30042856091519, 0.964097104531415,          1.46189875323845, 1.3725902814614, 0.763118949388798,          1.5304212921709, 1.71810403079302, 0.745618024005524,          0.663653920640621, 0.592613874358246, 0.592613874358246,          0.469966667540803, 0.469966667540803), PROX_MRT = c(0.547659244513397,          0.495669019430354, 0.635923545376501, 0.541117453484526,          0.541381135472874, 0.702240402731505, 0.834242720427877,          0.431073100471927, 0.766580328668093, 0.177135615746217,          0.392323251912074, 0.486709870425329, 0.407136749273107,          0.316955810938843, 0.180817781363956, 0.641519249244255,          0.579811001445256, 0.579811001445256, 0.729135125223405,          0.729135125223405), PROX_PARK = c(0.79060261488636, 0.837021679605882,          0.687013904416796, 0.869949400509587, 0.854937524579578,          0.717751277212032, 0.572284771964545, 0.87843358408359,          0.786856267919922, 0.967683324465338, 0.808406007535371,          0.736647900507106, 0.646645557650639, 0.521638252737905,          0.580682002012541, 0.527546900647844, 0.518465718930498,          0.518465718930498, 0.194645215248471, 0.194645215248471         ), PROX_GOOD_PRISCH = c(5.2589313064801, 5.21242267662931,          5.2635668385575, 5.38873705701154, 4.9821455258424, 5.05486565817651,          5.17213285521296, 4.7599521059868, 4.94298421634201,          5.00900650468442, 4.71060068854172, 5.79164197089728,          4.56541244462189, 4.5417585858835, 6.02648848177283,          5.79932453842233, 5.8805780078001, 5.8805780078001, 6.00758296280353,          6.00758296280353), PROX_MALL = c(0.641907311269237, 0.644074766251318,          0.540570027720398, 0.857174016474006, 0.395836928017505,          0.264439990658005, 0.253080993480643, 0.530519583310388,          0.158055972255249, 1.02277508016934, 0.598720745421956,          0.561468969675593, 0.730402721918488, 0.958986678954386,          0.252610517585887, 0.726704111983395, 0.667352945771092,          0.667352945771092, 0.632880647427991, 0.632880647427991         ), PROX_CHAS = c(0.273160540123658, 0.305551557127515,          0.151656769473437, 0.0593781975043205, 0.111998728732921,          0.0412741280494288, 0.118994056415591, 0.141608811196257,          0.110909163864147, 0.253202817693943, 0.0989632897848068,          0.1019571402223, 0.0978085819739089, 0.262672355720334,          0.0925674017483885, 0.11942955396425, 0.128101303359069,          0.128101303359069, 0.206736748098593, 0.206736748098593         ), PROX_SUPERMARKET = c(0.406551385550075, 0.397697747354111,          0.505826018716947, 0.101389584423307, 0.321173728185784,          0.259076961683863, 0.246822057901315, 0.179396317901182,          0.155031856949385, 0.177136085505812, 0.13781747249929,          0.0953919744611677, 0.152757697669253, 0.246179282205813,          0.188530812320699, 0.307102160965552, 0.314517101025506,          0.314517101025506, 0.327859325274294, 0.327859325274294         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 1L,          1L, 2L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 5L, 3L, 4L, 4L,          5L, 7L, 3L, 1L, 7L, 2L, 7L, 4L, 5L, 3L, 2L, 2L, 2L, 2L         ), WITHIN_350M_BUS = c(7L, 8L, 8L, 10L, 8L, 7L, 9L, 7L,          10L, 9L, 6L, 9L, 7L, 6L, 10L, 11L, 10L, 10L, 7L, 7L),          WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 4L, 3L, 2L, 3L, 3L,          2L, 2L, 3L, 4L, 3L, 2L, 4L, 4L, 3L, 3L, 4L, 4L), DNeighbour = c(0,          56.8739331229101, 120.000674196232, 312.382124485816,          330.643161676685, 380.728764157347, 423.936006412259,          504.914539640709, 522.039459970344, 534.675778405662,          555.197543153416, 682.726323279632, 698.691132459426,          796.945995239863, 805.698171642594, 836.422828573415,          877.685744949652, 878.693701427993, 882.565152963988,          888.735458468983)), row.names = c("396", "101", "424",      "984", "884", "253", "862", "341", "546", "30", "377", "556",      "665", "636", "143", "293", "587", "162", "455", "963"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99182625057652, 0.963869391334927, 0.768172290454673, 0.742333700275456,      0.666637546512088, 0.59669620060561, 0.458642913081446, 0.428980716361626,      0.407121177261925, 0.371787234125375, 0.167992763088069,      0.145883806237677, 0.0383748460492456, 0.0317325808026331,      0.0130551231662076, 0.000610661505117317, 0.00050490935727362,      0.000191473135195621, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8499445877 
R squared (OOB):                  -0.2260541 

$Forests[[397]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(435000, 450000, 440000,      516000, 439000, 588000, 670000, 408000, 410000, 548000, 640000,      420000, 648000, 5e+05, 565000, 430000, 640000, 430000, 345000,      448000), floor_area_sqm = c(98, 92, 92, 98, 97, 95, 94, 91,      97, 95, 91, 91, 116, 105, 103, 93, 90, 102, 92, 105), storey_order = c(1L,      1L, 3L, 3L, 3L, 3L, 6L, 3L, 4L, 2L, 3L, 1L, 4L, 2L, 4L, 3L,      1L, 3L, 1L, 1L), remaining_lease_mths = c(692, 679, 677,      698, 669, 1025, 1104, 674, 665, 981, 992, 742, 871, 857,      852, 728, 1095, 869, 695, 866), PROX_CBD = c(8.85689554561162,      8.7589377611275, 8.7589377611275, 8.70928269501252, 8.73211086874077,      8.51090417959469, 8.58683984966127, 8.96374942103709, 8.66747718420982,      8.37940280964872, 9.30017281297198, 8.31995738049774, 8.27332873959955,      8.19182633034048, 8.19182633034048, 8.20083785223568, 9.29204667907952,      8.77938926255451, 8.46158045860266, 8.05276498978228), PROX_ELDERLYCARE = c(0.272187629818594,      0.169235371196244, 0.169235371196244, 0.119444653145476,      0.292319821872094, 0.120425912751251, 0.203840329735754,      0.267188539522683, 0.0441159965049124, 0.335901694998922,      0.677643973897152, 0.259768432786295, 0.354571010374291,      0.444818640633349, 0.444818640633349, 0.41240614163537, 0.771441336950035,      0.374310234303432, 0.0854535518544851, 0.599632276485302),          PROX_HAWKER = c(0.446318851105742, 0.330091511745513,          0.330091511745513, 0.281172749103646, 0.436547444862961,          0.166697492306482, 0.433030813326955, 0.393731145214296,          0.357845486047337, 0.203869560106314, 0.445284816601654,          0.387410687724852, 0.610975272844239, 0.553760551741158,          0.553760551741158, 0.35604829505958, 0.172288624542473,          0.0530841043788875, 0.266645682444034, 0.560005371648267         ), PROX_MRT = c(0.372678744867538, 0.338391484905848,          0.338391484905848, 0.379410256905797, 0.600073719023998,          0.608243230971526, 0.751078096441513, 0.71987240697712,          0.874328108605637, 0.62312262100292, 0.258716275079725,          0.705543842504761, 1.0936063211659, 1.08457427678223,          1.08457427678223, 0.805467939952349, 0.459210746913958,          1.18818107396501, 0.681495718287031, 1.12051759514643         ), PROX_PARK = c(0.479885299937475, 0.469340752260783,          0.469340752260783, 0.513364518506117, 0.617507126900098,          0.368529270986479, 0.52118662053352, 0.60552725382935,          0.691303172853456, 0.394842599629624, 0.166211588513849,          0.517920409018535, 0.477465658778908, 0.374102285306053,          0.374102285306053, 0.393072899865764, 0.354651430366215,          0.700959888788064, 0.773425606080498, 0.30128672956265         ), PROX_GOOD_PRISCH = c(1.47413984574199, 1.40615721612308,          1.40615721612308, 1.35677240305411, 1.31940815963163,          1.13331232297991, 1.16640042723588, 1.13785719900195,          1.23754792076915, 1.14854892992093, 1.82000438656186,          1.20021801549651, 0.856939381531897, 0.769163347741007,          0.769163347741007, 1.04754826657838, 2.10961489740732,          0.963274696928036, 1.4534383809239, 0.631981624625733         ), PROX_MALL = c(0.241772845363545, 0.264395031718586,          0.264395031718586, 0.313890580083005, 0.469553394647833,          0.540250505232014, 0.632538285087724, 0.480317195978648,          0.740457696387364, 0.651389947232486, 0.302826744416793,          0.768764019555169, 0.991200103712322, 0.997182626507123,          0.997182626507123, 0.844084234929545, 0.591682371404957,          0.946404029132472, 0.793630348518112, 1.07178760783233         ), PROX_CHAS = c(0.157458356405151, 0.0806835690144568,          0.0806835690144568, 0.112175615725657, 0.0664211666443358,          0.0869956868442428, 0.237191200694799, 0.143131544605207,          0.34300149800099, 0.11938167830482, 0.258750733988333,          0.1066489590073, 0.413431749899638, 0.311461966699573,          0.311461966699573, 0.0460460495231756, 0.116738661463474,          0.064920565519497, 0.161491876005888, 0.167974733321899         ), PROX_SUPERMARKET = c(0.224853982916395, 0.24726445439454,          0.24726445439454, 0.221335227738319, 0.350370254212894,          0.0869967242830128, 0.35437102597818, 0.181164390242962,          0.158725757407685, 0.282093113359979, 0.378001630838772,          0.284909088626731, 0.502190497784501, 0.485938543293979,          0.485938543293979, 0.436961702644775, 0.110756393825321,          0.239175324970861, 0.128302570008396, 0.372458117254617         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 1L, 2L,          1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 3L         ), WITHIN_350M_CHILDCARE = c(7L, 8L, 8L, 7L, 6L, 6L,          5L, 4L, 2L, 4L, 3L, 3L, 4L, 2L, 2L, 2L, 5L, 2L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 6L, 6L, 6L, 7L, 5L, 4L, 6L,          5L, 6L, 9L, 7L, 8L, 7L, 7L, 7L, 7L, 4L, 7L, 5L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 4L, 3L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 3L, 1L), DNeighbour = c(0, 140.04755645977,          143.635043848945, 179.716366664996, 230.461505473598,          341.220732165424, 384.914998792312, 412.992684950856,          505.26194169539, 580.059939615391, 618.096254058872,          739.04933061125, 749.341727687292, 762.799069008797,          769.704357158614, 774.030492507046, 829.336543801151,          835.621508678612, 842.842866238421, 853.155527906541)), row.names = c("397",      "194", "386", "446", "842", "94", "149", "692", "331", "998",      "973", "716", "795", "674", "128", "79", "191", "606", "676",      "635"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.946834044923132,      0.944114968218705, 0.913222953408705, 0.859385859270764,      0.705665340577353, 0.634331001937353, 0.586250211729931,      0.421547505906408, 0.289160858538732, 0.22574386052636, 0.0623022194100021,      0.0522386483060835, 0.0402405471550779, 0.0346189651682838,      0.0312888360241625, 0.00303137514730008, 0.00165498762428119,      0.000577403719158011, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8570137694 
R squared (OOB):                  0.08534876 

$Forests[[398]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(580000, 725000, 590000,      580000, 650000, 640000, 660000, 451000, 515000, 620000, 560000,      545000, 678000, 708000, 409500, 418000, 488000, 520000, 705000,      385000), floor_area_sqm = c(108, 90, 90, 90, 90, 90, 105,      83, 84, 103, 105, 101, 92, 90, 84, 84, 104, 107, 90, 93),          storey_order = c(8L, 9L, 2L, 1L, 6L, 2L, 6L, 8L, 4L,          4L, 2L, 1L, 3L, 5L, 3L, 3L, 1L, 2L, 7L, 1L), remaining_lease_mths = c(760,          995, 996, 1006, 1011, 1011, 748, 604, 804, 742, 913,          938, 1103, 1031, 807, 804, 776, 892, 1041, 772), PROX_CBD = c(2.26543941452074,          2.61519687417969, 2.69989267302812, 2.65695642963531,          2.65695642963531, 2.65695642963531, 3.5952466633456,          3.63056019358172, 3.75781957676323, 3.79744534670369,          3.91005014077452, 3.59494173601466, 3.93031212371417,          3.56091441303422, 4.20973993763024, 4.20973993763024,          4.16405648472164, 4.23142849537126, 3.66612298934168,          4.25035751849909), PROX_ELDERLYCARE = c(0.404007374923036,          0.386066702151211, 0.352346052518342, 0.3590471791371,          0.3590471791371, 0.3590471791371, 0.354500614782039,          0.124703716495981, 0.582389211118023, 0.296175206272889,          0.449207181019876, 0.692364880740494, 0.159701117649001,          0.885388735780595, 0.156291063754703, 0.156291063754703,          0.434539750657667, 0.272010492111063, 0.851600940224316,          0.411587417191489), PROX_HAWKER = c(0.210544550468706,          0.52081126471543, 0.468835135082758, 0.48810855559281,          0.48810855559281, 0.48810855559281, 0.311385334077859,          0.0619655343942362, 0.393163811818296, 0.300770398866256,          0.464701711390969, 0.142789347249218, 0.374782156946409,          0.210501859943959, 0.46881842734995, 0.46881842734995,          0.502732414569621, 0.392124905911543, 0.157376553669701,          0.610932712322496), PROX_MRT = c(0.306886682672286, 0.320255480062021,          0.230131940688868, 0.285614625668497, 0.285614625668497,          0.285614625668497, 0.16267041353008, 0.188513622979597,          0.434583879195091, 0.195276091150508, 0.361698258812245,          0.346622733589529, 0.57487373386568, 0.1853881461208,          0.750034220630686, 0.750034220630686, 0.518003091395578,          0.870814763860364, 0.281331556481731, 0.605174310138743         ), PROX_PARK = c(0.0441643212802781, 0.427354201328866,          0.41386436288237, 0.426964305014519, 0.426964305014519,          0.426964305014519, 0.796125682214674, 0.634729277660292,          0.885911587583127, 0.620239922284967, 0.651892034671684,          1.03638785093261, 0.43227753152338, 0.969171323132551,          0.828179073128827, 0.828179073128827, 0.269719137898212,          0.989030190878471, 1.07330463343821, 0.346786980248178         ), PROX_GOOD_PRISCH = c(5.27420554603454, 4.82322880287643,          4.75214496578899, 4.78575462214909, 4.78575462214909,          4.78575462214909, 4.26949140427292, 4.47678155678584,          3.98479480133756, 4.13618512399158, 3.96984616110429,          4.68517728936996, 4.55218800106713, 4.51522724145722,          3.58178441884724, 3.58178441884724, 3.99853475328204,          3.47561641519302, 4.46068770698473, 3.87277035706644),          PROX_MALL = c(0.216535056802411, 0.426721378040506, 0.380876218870723,          0.412388661644518, 0.412388661644518, 0.412388661644518,          0.962766222186716, 0.917363569028491, 1.1081035152608,          1.16769889708728, 1.2652175398851, 0.814872047472938,          1.09934779211931, 0.87678025015548, 1.26743973989934,          1.26743973989934, 1.00998414702412, 1.1888213641646,          0.971442928620489, 0.955673327573223), PROX_CHAS = c(0.146883739415237,          0.297575542785259, 0.202908600866322, 0.260712311456847,          0.260712311456847, 0.260712311456847, 0.0963682910788478,          0.112941217538546, 0.345906079563203, 0.121619853002556,          0.108899254787234, 0.0573592222158038, 0.304936065418075,          0.0998361253719761, 0.163154212627783, 0.163154212627783,          0.147909276913635, 0.106822211501606, 0.108213750221125,          0.260827480873255), PROX_SUPERMARKET = c(0.186677322210676,          0.470018893217644, 0.44532403657541, 0.447218369070658,          0.447218369070658, 0.447218369070658, 0.269187390315468,          0.0867224629960944, 0.128350069204848, 0.191561540751545,          0.115229795891962, 0.0573596645426592, 0.35411008396507,          0.103744685928207, 0.118448079318654, 0.118448079318654,          0.506391752127701, 0.139079920157556, 0.131005301990959,          0.512280309006142), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 1L, 2L, 2L, 2L, 1L, 0L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 2L,          2L, 2L, 2L, 2L, 4L, 5L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L,          6L, 6L, 3L, 5L), WITHIN_350M_BUS = c(3L, 3L, 4L, 3L,          3L, 3L, 6L, 4L, 3L, 5L, 5L, 4L, 5L, 9L, 7L, 7L, 5L, 7L,          7L, 5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 2L, 0L, 1L, 0L, 3L, 3L, 3L, 2L, 0L, 3L         ), DNeighbour = c(0, 559.778085139656, 576.556386099963,          577.021300795766, 579.354615561604, 580.605118426489,          1358.29247162332, 1476.11613796533, 1495.89370156125,          1566.91974069751, 1658.29162980204, 1845.83143888674,          1858.64751766932, 1927.89480349341, 1940.79745543287,          1945.68711653553, 1951.83011281796, 1972.47849417919,          2021.35359438823, 2025.28509110259)), row.names = c("398",      "923", "796", "246", "821", "521", "699", "237", "234", "952",      "176", "997", "801", "881", "382", "907", "223", "849", "903",      "19"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.853047977403676,      0.844483431222346, 0.84424313748353, 0.843034744172016, 0.842385475627333,      0.302725961019492, 0.219761216429395, 0.206530995695693,      0.161139155388911, 0.108620407958008, 0.0286835189088383,      0.0248968598312084, 0.00881007873650343, 0.00667367646885242,      0.00593817600804388, 0.00507264125015403, 0.00264890213889289,      1.50438858460391e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11419372945 
R squared (OOB):                  -0.05506421 

$Forests[[399]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(388000, 440000, 380000,      375000, 370000, 365000, 370000, 446000, 347000, 340000, 390000,      420000, 420000, 315000, 415000, 308000, 365000, 355000, 330000,      360000), floor_area_sqm = c(103, 103, 102, 92, 98, 103, 104,      107, 103, 104, 104, 90, 99, 84, 100, 84, 107, 103, 103, 103     ), storey_order = c(3L, 2L, 2L, 2L, 2L, 4L, 2L, 3L, 3L, 1L,      1L, 2L, 3L, 3L, 1L, 1L, 1L, 3L, 2L, 1L), remaining_lease_mths = c(935,      918, 938, 938, 767, 768, 763, 783, 777, 772, 763, 925, 929,      788, 944, 795, 766, 793, 800, 777), PROX_CBD = c(12.2384019056968,      12.1964782349865, 12.4172252614445, 12.0748651503812, 12.6407298816561,      12.6612960596841, 13.075732494377, 13.1163383572019, 12.4516179583977,      13.1145091682395, 13.1145091682395, 12.960867808991, 13.2222340992065,      13.0463978034086, 13.1525533734461, 13.3304860768802, 13.578535689825,      13.46147060752, 13.46147060752, 13.7231688188033), PROX_ELDERLYCARE = c(0.481492260541915,      0.395535007521183, 0.466477120293287, 0.485644504612505,      0.198383641986835, 0.349885373003571, 0.206309775801723,      0.258125844069092, 0.517665393733001, 0.233566729538939,      0.233566729538939, 0.579007844644764, 0.385934705647939,      0.612412426395362, 0.640770029240432, 0.85382998667073, 0.535215785060316,      1.01995663096129, 1.01995663096129, 0.681177733621966), PROX_HAWKER = c(2.08679181031876,      2.11269605893479, 1.89270186421095, 1.97379568283644, 1.70233840124208,      1.71720286170745, 1.2806114078583, 1.23349193679857, 1.97187302693261,      1.24018164124527, 1.24018164124527, 1.16344345150942, 1.08380419022874,      1.36023111372333, 0.959649545299011, 1.09459947163448, 0.775756145922257,      1.03983060555389, 1.03983060555389, 0.601426993813282), PROX_MRT = c(1.00400763232319,      1.03396693725809, 0.847625669994717, 1.16171233055988, 0.712674611555213,      0.798149237832703, 0.218393806785847, 0.166998983475289,      1.07246547116041, 0.402767024758649, 0.402767024758649, 0.899387073359532,      0.503688459146237, 0.622051877914657, 0.944408516927639,      0.525688124362732, 0.357978123578611, 0.367668143276235,      0.367668143276235, 0.498221170198522), PROX_PARK = c(0.617440020241687,      0.631382355736929, 0.790049777369869, 0.570565135790359,      0.87239282209614, 0.722272593032778, 1.31516124688894, 1.28385310080255,      0.540079114132334, 1.4917670023494, 1.4917670023494, 1.44660566239193,      1.61082819122054, 0.572775970192077, 1.65277848527316, 0.620743454357064,      1.33984402369384, 0.582693033366388, 0.582693033366388, 1.26781451063295     ), PROX_GOOD_PRISCH = c(2.2532718981807, 2.16851203086393,      2.44639044951476, 2.03318600563725, 2.56532775368338, 2.58047246486208,      3.06740437701091, 3.10133739012884, 2.37408427308534, 3.15473759747012,      3.15473759747012, 2.82458087567675, 3.2388029474634, 2.96540091825049,      2.95137840528657, 3.24954726475941, 3.55013641033528, 3.38131302543864,      3.38131302543864, 3.673854441535), PROX_MALL = c(1.10261213560447,      1.12036230953297, 0.95273084922996, 1.24268779707958, 0.751522975449472,      0.817237002784756, 0.332903613799786, 0.281310431650798,      1.09246464633101, 0.504156272689578, 0.504156272689578, 0.695129776671669,      0.587950861513872, 0.587476612974174, 0.703422933264244,      0.513372166694422, 0.305514521023982, 0.644549177151603,      0.644549177151603, 0.406890039239853), PROX_CHAS = c(0.187666753228527,      0.194956542036987, 0.132703338642494, 0.0669716337617594,      0.217156748290024, 0.248450831201433, 0.122328851042638,      0.155371621529032, 0.137011223676854, 0.11048408202451, 0.11048408202451,      0.341366062526918, 0.151225190585885, 0.40513819943783, 0.1365287941905,      0.472814153962233, 0.282171570268124, 0.348399033159575,      0.348399033159575, 0.176857487498571), PROX_SUPERMARKET = c(0.388917381074845,      0.242376621204914, 0.453312253927337, 0.301394789473075,      0.217156859083098, 0.326739034058403, 0.193246634773484,      0.141466460051892, 0.417679622168911, 0.362446168440829,      0.362446168440829, 0.668273194253219, 0.459946280432931,      0.599997973636583, 0.688592108834651, 0.510727353781082,      0.281417393052806, 0.356146193343619, 0.356146193343619,      0.270532795629183), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      0L, 1L, 2L, 2L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 2L, 0L, 1L, 1L,      1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(2L, 4L, 3L, 2L, 4L,      3L, 4L, 4L, 3L, 6L, 6L, 1L, 5L, 2L, 2L, 4L, 4L, 3L, 3L, 4L     ), WITHIN_350M_BUS = c(10L, 9L, 9L, 9L, 10L, 12L, 10L, 9L,      9L, 7L, 7L, 2L, 8L, 7L, 6L, 5L, 10L, 6L, 6L, 8L), WITHIN_1KM_PRISCH = c(2L,      2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 2L, 3L,      4L, 3L, 3L, 3L), DNeighbour = c(0, 196.429508324646, 202.688322711145,      319.289304314869, 680.543223748511, 809.998642861066, 838.118136664921,      884.449920492449, 885.803506072486, 902.220584537675, 907.69720416288,      985.004786957151, 1035.90543227202, 1086.70368942519, 1181.83177093251,      1312.3014525143, 1344.58218643528, 1480.80538833729, 1489.96260114549,      1502.95793419219)), row.names = c("399", "677", "296", "721",      "477", "552", "929", "105", "851", "844", "164", "831", "350",      "987", "496", "61", "856", "332", "526", "960"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.966129256787117, 0.963956541656537, 0.911774780616239,      0.631977026560623, 0.503457832534863, 0.474763985736386,      0.427323322983932, 0.425937578082675, 0.409144388815303,      0.403549984787953, 0.325447836189632, 0.275564179008936,      0.22772782108971, 0.145674865886642, 0.0564615345434273,      0.039859308373286, 0.000856226626127899, 0.000296468051332678,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1737873455 
R squared (OOB):                  -0.1654133 

$Forests[[400]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 378888, 330000,      405000, 385000, 398888, 390000, 330000, 370000, 353000, 370000,      385000, 345000, 369988, 365000, 356888, 452000, 450000, 372500,      348000), floor_area_sqm = c(91, 90, 91, 93, 93, 93, 100,      85, 90, 93, 93, 93, 85, 91, 91, 91, 95, 95, 102, 100), storey_order = c(1L,      6L, 3L, 6L, 4L, 6L, 6L, 4L, 2L, 1L, 3L, 5L, 6L, 4L, 5L, 5L,      4L, 2L, 2L, 3L), remaining_lease_mths = c(992, 949, 951,      1138, 1138, 1127, 942, 992, 1016, 1136, 1127, 1140, 968,      1002, 993, 963, 1112, 1109, 931, 938), PROX_CBD = c(12.6773565587662,      12.4403773011877, 12.402570085049, 12.9439612539798, 12.9439612539798,      12.9439612539798, 12.9172885276263, 13.0825190214061, 13.0393088300804,      12.9273038019752, 12.9599687546274, 12.9599687546274, 13.131637538161,      13.2138793761114, 13.2138793761114, 13.1584578321731, 12.1424265739316,      12.0901026943072, 11.9627383543319, 11.8646943012694), PROX_ELDERLYCARE = c(0.36284597954094,      0.624054710630084, 0.628872951670854, 0.119102012768026,      0.119102012768026, 0.119102012768026, 0.440978457512705,      0.120371550198491, 0.38924985743242, 0.250608726248769, 0.230213196902471,      0.230213196902471, 0.425459762987539, 0.200446926946864,      0.200446926946864, 0.528614390300154, 0.88680281476439, 0.911165280518988,      0.96089261866182, 0.893707553155367), PROX_HAWKER = c(1.72249172765999,      1.46996215979098, 1.50745216628998, 2.07494386608678, 2.07494386608678,      2.07494386608678, 1.76689210194785, 1.90213677974947, 1.75849952292251,      2.14952956067865, 2.16699861471209, 2.16699861471209, 1.67102672130552,      1.87231067409155, 1.87231067409155, 1.59466084315792, 0.999275592501037,      0.995330006841388, 0.983415578941634, 0.888626336009462),          PROX_MRT = c(0.142163643631393, 0.140157494228817, 0.198968515523371,          0.464899886897548, 0.464899886897548, 0.464899886897548,          0.0642144868642362, 0.30821900832469, 0.103022581922205,          0.585364307317434, 0.576831878931421, 0.576831878931421,          0.197259382412543, 0.348476568009787, 0.348476568009787,          0.258879114766752, 0.303530488733859, 0.231980634651484,          0.122900516984256, 0.214047355776769), PROX_PARK = c(0.484105342641425,          0.525489875872169, 0.61879465488716, 0.700809394437081,          0.700809394437081, 0.700809394437081, 0.18581491955197,          0.557623544885242, 0.291844359651056, 0.834972281659159,          0.828547076231476, 0.828547076231476, 0.350705699368152,          0.701388397724732, 0.701388397724732, 0.332476768251147,          0.699596772952975, 0.750469455971567, 0.836149627657164,          0.747986195716587), PROX_GOOD_PRISCH = c(3.92066991749349,          3.6640626331803, 3.69141799128789, 4.27162250172191,          4.27162250172191, 4.27162250172191, 3.96344124390297,          4.27923006279343, 4.09066115622083, 4.33782029579385,          4.35761410397793, 4.35761410397793, 4.16094245740848,          4.43819501492863, 4.43819501492863, 4.13557899544262,          3.20088339163048, 3.19167768034691, 3.15511978010431,          3.05097986431403), PROX_MALL = c(0.485078273736912, 0.37643645467035,          0.407881748949563, 0.646092130793046, 0.646092130793046,          0.646092130793046, 0.125441786165087, 0.482494809972804,          0.199839805040887, 0.664096204002356, 0.630320880177991,          0.630320880177991, 0.249640338015364, 0.411800643307333,          0.411800643307333, 0.231810009894563, 0.171446483339376,          0.1200910408013, 0.161680393170103, 0.265637621954407         ), PROX_CHAS = c(0.334175310205776, 0.376436475429729,          0.407881782403473, 0.136400058110832, 0.136400058110832,          0.136400058110832, 0.146232137849481, 0.1115602293269,          0.19843851708658, 0.273668945808659, 0.256311352337612,          0.256311352337612, 0.23569948169583, 0.186991486151685,          0.186991486151685, 0.20604200841638, 0.171446425970546,          0.120090990225825, 0.161680400961643, 0.265637621677666         ), PROX_SUPERMARKET = c(0.485077395132212, 0.426522673463594,          0.451295114828249, 0.636728053790567, 0.636728053790567,          0.636728053790567, 0.125440795942109, 0.482493892596986,          0.199839014107547, 0.655577492568061, 0.621743565428055,          0.621743565428055, 0.249639808314143, 0.40197012970004,          0.40197012970004, 0.231809873410795, 0.178201527122821,          0.109512866312649, 0.107037284539066, 0.211091622880127         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 0L, 0L, 0L,          2L, 0L, 2L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(8L, 4L, 3L, 4L, 4L, 4L,          9L, 7L, 8L, 3L, 3L, 3L, 5L, 5L, 5L, 6L, 7L, 8L, 8L, 7L         ), WITHIN_350M_BUS = c(13L, 11L, 9L, 3L, 3L, 3L, 9L,          4L, 7L, 3L, 3L, 3L, 7L, 2L, 2L, 7L, 9L, 8L, 9L, 8L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 7L, 5L,          7L, 4L, 4L, 4L, 7L, 6L, 6L, 7L, 5L, 4L, 4L, 5L), DNeighbour = c(0,          263.270972380841, 274.074820590101, 349.790099610347,          350.7351016812, 354.485803869045, 379.944999719643, 410.51581529277,          446.635338601827, 449.148429150186, 455.12167217684,          459.650210458321, 530.383815470628, 552.689688677498,          554.70670488305, 609.031407830188, 721.455779245703,          727.128035696941, 779.39342332806, 890.288488067375)), row.names = c("400",      "444", "80", "882", "732", "936", "887", "886", "141", "462",      "990", "95", "153", "313", "474", "339", "147", "117", "295",      "232"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.832753152533511,      0.819439029519993, 0.71509574375638, 0.713683880690697, 0.708056574423456,      0.668912390839446, 0.619971769110976, 0.559986340455434,      0.55574362826524, 0.545629591760873, 0.537935645870155, 0.416140291323227,      0.377744615024346, 0.374288538725538, 0.283056091283284,      0.117864336147871, 0.110853783846296, 0.054571876935887,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       953076829 
R squared (OOB):                  0.1277588 

$Forests[[401]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(416000, 370000, 370000,      380000, 360000, 380000, 380000, 336000, 320000, 340000, 325000,      326000, 348000, 308000, 335000, 362000, 303888, 338000, 355000,      315000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 93, 90,      91, 90, 90, 101, 95, 90, 90, 94, 90, 94, 94, 87), storey_order = c(6L,      1L, 4L, 2L, 2L, 2L, 2L, 2L, 1L, 4L, 4L, 1L, 1L, 2L, 5L, 4L,      5L, 2L, 4L, 5L), remaining_lease_mths = c(1132, 1125, 1142,      1136, 1135, 1134, 1132, 966, 980, 1011, 973, 942, 968, 948,      998, 976, 1008, 1076, 1070, 1004), PROX_CBD = c(18.2305685201872,      18.2305685201872, 18.1918996486136, 18.1376577985599, 18.1376577985599,      18.2143914696608, 18.1279148711176, 18.263890012402, 18.4122801485573,      18.5954829873069, 18.5353901232527, 17.6460086713989, 18.0323194354466,      17.5548574672099, 18.976831626196, 18.3273029006797, 19.0279685600245,      18.893500205596, 18.9417612550563, 18.9558501171738), PROX_ELDERLYCARE = c(2.5602844754638,      2.5602844754638, 2.49884668013329, 2.49441526227585, 2.49441526227585,      2.48612553786713, 2.51087611030153, 2.93603771613334, 3.05606256580079,      3.21245115339435, 3.18651864771223, 2.69583292953839, 2.88259030935981,      2.64072586785555, 3.28231449363414, 2.7120525382807, 3.26154359027314,      3.10102691254995, 3.09832013994742, 3.04148171914245), PROX_HAWKER = c(0.555435817196439,      0.555435817196439, 0.600683099416637, 0.528296501129656,      0.528296501129656, 0.65924673205969, 0.487567663506197, 0.135415800319106,      0.284310921582288, 0.468862715548992, 0.491879726860981,      0.543702723258422, 0.459055170630849, 0.624754154933827,      0.923592674397851, 0.729165861663657, 0.990561993667382,      0.926259022488312, 0.981837341088666, 1.03425383708264),          PROX_MRT = c(0.810957189319413, 0.810957189319413, 0.859544339931905,          0.789676869843372, 0.789676869843372, 0.88189566435518,          0.74928998522808, 0.269488316579814, 0.34633408104891,          0.485913485771313, 0.375479822529604, 0.514213843772978,          0.228324090957444, 0.605396305517498, 0.822784932057268,          0.470919202147399, 0.880588410111357, 0.777214903782309,          0.831940647091921, 0.87145727172961), PROX_PARK = c(0.269300347674678,          0.269300347674678, 0.210024151789668, 0.276326305891841,          0.276326305891841, 0.161329073171627, 0.317511189836545,          0.826451671225411, 0.872887750975024, 0.966363588730214,          1.15334089580929, 0.873328686748902, 1.25712692932115,          0.801838254358626, 1.4431849310919, 1.51959638840156,          1.5140651316136, 1.53153013283021, 1.58031197441792,          1.64892029001525), PROX_GOOD_PRISCH = c(8.60245346442475,          8.60245346442475, 8.56698720173726, 8.50873818737911,          8.50873818737911, 8.59299650088468, 8.49670627721454,          8.61262144573917, 8.76068312560123, 8.94334048589707,          8.87993213136606, 7.99076792195858, 8.37645219680457,          7.89964805631792, 9.32093903042593, 8.6741083827629,          9.37202430611723, 9.23793284137011, 9.2863930262578,          9.30119351841798), PROX_MALL = c(0.89702383385846, 0.89702383385846,          0.849415447505653, 0.814982856398022, 0.814982856398022,          0.861156548991099, 0.819155488013484, 0.374925429890344,          0.458641270318743, 0.594166870248601, 0.460655941356388,          0.441435937338541, 0.12060760008054, 0.456293365362214,          0.897736377807805, 0.437943127987326, 0.951179576311185,          0.833273819621717, 0.886414086630636, 0.918650450187965         ), PROX_CHAS = c(0.080524556228062, 0.080524556228062,          0.110754204684376, 0.0547102897319272, 0.0547102897319272,          0.170239874320939, 0.0462043949149095, 0.0541347282504724,          0.182706372800723, 0.186588167457245, 0.165734202429707,          0.441435968696221, 0.120607657412939, 0.456293399812874,          0.237819060284531, 0.319053536773146, 0.184556275618948,          0.143741090403558, 0.0880613138842689, 0.067384164825537         ), PROX_SUPERMARKET = c(0.512175097136782, 0.512175097136782,          0.565642852259794, 0.504768063926141, 0.504768063926141,          0.532940464268134, 0.467157902200199, 0.0541355525390397,          0.182706945219403, 0.195869762300225, 0.167679568764744,          0.446325988440648, 0.119017844673248, 0.425112192123464,          0.322795161753339, 0.198027823348086, 0.3125742651816,          0.218188374485768, 0.175726554209016, 0.102761308178796         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 2L, 2L, 2L, 1L, 2L, 1L, 3L, 0L, 2L, 2L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L, 2L, 2L, 3L,          3L, 5L, 7L, 4L, 7L, 2L, 4L, 2L, 4L, 6L, 2L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(7L, 7L, 6L, 10L, 10L, 6L, 10L,          11L, 12L, 10L, 12L, 11L, 14L, 8L, 9L, 12L, 6L, 8L, 8L,          8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          4L, 5L, 5L, 5L, 3L, 4L, 2L, 4L, 5L, 4L, 4L, 4L, 4L),          DNeighbour = c(0, 7.64552055989355, 65.348913238255,          91.4200775147223, 99.1098304058403, 111.133922074143,          113.55574315403, 557.793986270828, 598.216081972544,          697.64117273107, 885.341230839222, 975.568981827564,          1012.09161977544, 1033.97629921029, 1191.51873700905,          1253.15448285453, 1262.83414990182, 1266.29329084672,          1314.21621249103, 1379.27135937859)), row.names = c("401",      "770", "600", "285", "378", "790", "461", "548", "722", "901",      "838", "456", "354", "514", "915", "873", "570", "745", "932",      "52"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999938547718946,      0.995515442745468, 0.991232844630149, 0.989699901878436,      0.987057690550618, 0.986489407822305, 0.699650069983002,      0.659161962078689, 0.553777328378635, 0.345716412794398,      0.249716176118512, 0.213034307907413, 0.191860532279646,      0.0643733909692405, 0.0304550860545138, 0.0261508023278903,      0.0246846047004604, 0.00848387777125017, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       551614690 
R squared (OOB):                  0.3432647 

$Forests[[402]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 388000, 415000,      432000, 410000, 420000, 333000, 335000, 305000, 313000, 305000,      360000, 315000, 325000, 323000, 338000, 339000, 349000, 371000,      320000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 99, 100,      99, 99, 99, 99, 102, 91, 101, 102, 102, 103, 100, 84), storey_order = c(1L,      1L, 2L, 4L, 2L, 1L, 3L, 4L, 4L, 4L, 1L, 3L, 2L, 2L, 1L, 4L,      3L, 2L, 2L, 4L), remaining_lease_mths = c(1135, 1134, 1125,      1123, 1136, 1121, 927, 927, 930, 918, 921, 915, 913, 970,      937, 922, 923, 832, 918, 885), PROX_CBD = c(17.8160591469996,      17.8160591469996, 17.7609329148819, 17.7152334804069, 17.7152334804069,      17.7152334804069, 17.6933534103443, 17.5934100264964, 17.5508688704121,      17.8728040148932, 17.9733391318796, 17.6482187406162, 17.9994058772431,      17.7083177660008, 17.4093430047218, 18.1611534549189, 17.9456645257603,      18.0642207733449, 17.9318121245061, 18.3433564216417), PROX_ELDERLYCARE = c(0.101440000613482,      0.101440000613482, 0.0656405943898966, 0.0982899037000713,      0.0982899037000713, 0.0982899037000713, 0.174626049595048,      0.183364759720919, 0.169110695114153, 0.330981516384048,      0.376016337241346, 0.399377154365588, 0.430537495183344,      0.378187975507624, 0.347622879353981, 0.519233937445895,      0.476454782767532, 0.558648465009425, 0.559180828327224,      0.623669944895056), PROX_HAWKER = c(0.755409785256781, 0.755409785256781,      0.769612072642938, 0.815736811633103, 0.815736811633103,      0.815736811633103, 0.89059259132002, 0.860123145519879, 0.736171211400498,      0.446535534086157, 0.501520555884575, 1.11261554439583, 0.472244893923117,      0.340346390827249, 0.646263997619536, 0.617364695979906,      0.3648710200987, 1.20831273824173, 1.18812307179958, 0.960648791795978     ), PROX_MRT = c(0.729659889526201, 0.729659889526201, 0.714624513867521,      0.674833365376197, 0.674833365376197, 0.674833365376197,      0.606842528225389, 0.675234243169572, 0.804998329325227,      0.4868918768976, 0.52882455357406, 0.417091391951799, 0.492638498779759,      0.403335562748004, 0.722831181419355, 0.623413162025338,      0.385567417899789, 0.387700307898407, 0.256828620430729,      0.899458799363821), PROX_PARK = c(1.49250729308795, 1.49250729308795,      1.52091098886828, 1.52614967260321, 1.52614967260321, 1.52614967260321,      1.49905344652453, 1.60355051242194, 1.71737354643835, 1.69875568186822,      1.62685700377268, 1.38656874841243, 1.65421298847909, 1.86766019581863,      1.92330050908574, 1.52418818882418, 1.76180373116006, 1.04306097562022,      1.11695175135574, 1.17596756648915), PROX_GOOD_PRISCH = c(8.44175881664207,      8.44175881664207, 8.39120163011403, 8.35538963357137, 8.35538963357137,      8.35538963357137, 8.34857469941546, 8.24279341902993, 8.17476856172454,      8.43952013253886, 8.54142359534323, 8.34983568407236, 8.5589292690065,      8.26299778187914, 8.00696366683488, 8.72758527833631, 8.49089982759618,      8.76549326341746, 8.65275846320069, 8.95760590087653), PROX_MALL = c(0.183177100903513,      0.183177100903513, 0.147411017927622, 0.158599011552442,      0.158599011552442, 0.158599011552442, 0.223321337745784,      0.188384425612312, 0.109574351562212, 0.330972758922268,      0.395841490391381, 0.439097430243665, 0.446560923090423,      0.335143296665789, 0.265229996889848, 0.475604736810637,      0.428159644756295, 0.424594513900518, 0.417130987397582,      0.22079632378696), PROX_CHAS = c(0.183177099178452, 0.183177099178452,      0.14741100268466, 0.158598978424062, 0.158598978424062, 0.158598978424062,      0.21485891447712, 0.151781240761386, 0.048268048492383, 0.330972805611547,      0.364030465322827, 0.414359256629807, 0.324811070171065,      0.30242004444134, 0.23105278557526, 0.405258493214775, 0.218909691095897,      0.124680964632411, 0.259891808560044, 0.167893491583302),          PROX_SUPERMARKET = c(0.137568853383185, 0.137568853383185,          0.113022549454425, 0.144345834884574, 0.144345834884574,          0.144345834884574, 0.218378438252518, 0.209139790637019,          0.15801430638391, 0.300218301814749, 0.356071330024396,          0.441697647833666, 0.408691343873882, 0.332189289926598,          0.313773352526138, 0.475604214408431, 0.365864675212809,          0.424593495373258, 0.438907970807184, 0.220795796105544         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(8L, 8L, 8L, 6L, 6L, 6L,          5L, 6L, 7L, 4L, 3L, 3L, 4L, 6L, 7L, 5L, 3L, 2L, 3L, 8L         ), WITHIN_350M_BUS = c(15L, 15L, 10L, 12L, 12L, 12L,          13L, 12L, 12L, 8L, 11L, 9L, 9L, 7L, 13L, 10L, 8L, 7L,          9L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 6L, 7L, 7L, 7L,          8L, 8L, 6L, 7L, 7L, 7L, 7L, 5L, 5L, 6L, 6L, 6L, 7L, 4L         ), DNeighbour = c(0, 7.6310239272324, 51.7598307670977,          115.896302518739, 117.458171204206, 123.734073533096,          187.819006745023, 237.794163562305, 256.684194147351,          329.55396267144, 352.471892531143, 399.024784119539,          406.279047522434, 424.602742396779, 445.120546879263,          465.660574415181, 471.553401713961, 482.515193568012,          507.970940271774, 533.441550883)), row.names = c("402",      "53", "365", "298", "13", "289", "112", "419", "438", "992",      "179", "891", "177", "544", "174", "330", "20", "773", "976",      "953"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999590760537805,      0.981258999153557, 0.907822976799856, 0.90538389960442, 0.895289126658677,      0.767434164145836, 0.642059081470796, 0.590531965180793,      0.382341368299263, 0.317429111769964, 0.194010774360552,      0.176347078001476, 0.134273828148373, 0.0922480962652833,      0.0566354094560406, 0.047774416096221, 0.0330588923350404,      0.00868914240485029, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       506308332 
R squared (OOB):                  0.6911857 

$Forests[[403]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 473800, 545000,      403000, 452000, 437000, 435000, 450000, 425000, 470000, 465000,      485000, 450000, 460000, 450000, 455000, 465000, 475000, 455000,      460000), floor_area_sqm = c(90, 90, 93, 90, 95, 94, 94, 95,      92, 93, 95, 95, 94, 92, 90, 92, 90, 92, 93, 92), storey_order = c(2L,      6L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 5L, 4L, 6L, 4L, 3L, 2L, 5L,      5L, 5L, 4L, 3L), remaining_lease_mths = c(1139, 1140, 1134,      1053, 1121, 1120, 1113, 1126, 1059, 1125, 1110, 1113, 1123,      1097, 1134, 1108, 1132, 1098, 1096, 1107), PROX_CBD = c(14.4131933766039,      14.4131933766039, 14.4432157047801, 14.2313196249897, 14.2856092918761,      14.0691382395842, 14.0214886887106, 14.1366846915735, 13.6873856248974,      14.2374266118925, 14.3101587663686, 14.2445424628862, 14.0429369190019,      14.2694643570804, 14.6796515041342, 14.2694643570804, 14.6796515041342,      14.3437499696049, 14.3469943525049, 14.2518409016409), PROX_ELDERLYCARE = c(1.43140028556732,      1.43140028556732, 1.44181352445962, 1.23431696680562, 1.29536834443332,      1.08280856328681, 1.04333655871926, 1.17371591683522, 0.720975229682918,      1.2819446304668, 1.29024298571696, 1.24643506877499, 1.1015647640471,      1.14423906696184, 1.45102259724198, 1.14423906696184, 1.45102259724198,      1.14464302293932, 1.07571195137499, 0.985840321219444), PROX_HAWKER = c(1.70733975651849,      1.70733975651849, 1.1926703176924, 1.20453145676494, 1.14967766552968,      1.21079813450924, 1.2014358291776, 1.09084844555913, 1.83406121528111,      1.02089221118434, 0.961388959141492, 0.968852406622053, 1.07710025413616,      0.826638245470088, 0.836784965651702, 0.826638245470088,      0.836784965651702, 0.74882220835846, 0.654543769257927, 0.656651462258042     ), PROX_MRT = c(0.160895515953214, 0.160895515953214, 0.142722405117506,      0.14509881944895, 0.0748886383392391, 0.281224364060027,      0.325652198483679, 0.218319465176875, 0.19923660487806, 0.148741201515391,      0.148967878322013, 0.184117552261459, 0.324573358240557,      0.30438768875815, 0.391052893274669, 0.30438768875815, 0.391052893274669,      0.217663394995295, 0.131478587775223, 0.189142279194464),          PROX_PARK = c(0.362779794623634, 0.362779794623634, 0.164631246691225,          0.30799989212087, 0.297003339879563, 0.468913262301943,          0.524931496780237, 0.474063272255088, 0.855123415409032,          0.440474428767772, 0.444639968372477, 0.481320095248247,          0.58019258504408, 0.599699049952129, 0.566439778554251,          0.599699049952129, 0.566439778554251, 0.636899975343007,          0.731552922713316, 0.785709089572823), PROX_GOOD_PRISCH = c(5.6363766911051,          5.6363766911051, 5.44062149940817, 5.24106386657147,          5.27158847877433, 5.07622831499557, 5.02043421457898,          5.09375212835948, 4.98236347160825, 5.16870486361587,          5.21803047984022, 5.1542412945362, 4.9857651679507, 5.12184985907385,          5.51577006817018, 5.12184985907385, 5.51577006817018,          5.1680916684458, 5.13548460888622, 5.03443000866885),          PROX_MALL = c(0.596976127865625, 0.596976127865625, 0.0864828813466827,          0.200492724858517, 0.136646142991964, 0.352184781664103,          0.399157770965225, 0.295276560881227, 0.138188079312201,          0.22058685557285, 0.199960318099191, 0.248497232357685,          0.401409437181884, 0.351657486288216, 0.38618207223371,          0.351657486288216, 0.38618207223371, 0.38589862433106,          0.480981762762808, 0.535261743386166), PROX_CHAS = c(0.168005379342294,          0.168005379342294, 0.0864829242311455, 0.200492722653611,          0.136646133179357, 0.167321001424632, 0.142774662207743,          0.0995517477546361, 0.138188055488585, 0.177995101264401,          0.199960275799137, 0.185564313785613, 0.0207330025336023,          0.120456720485379, 0.367772140885018, 0.120456720485379,          0.367772140885018, 0.0401042229543167, 0.0578525184286013,          0.121511881264649), PROX_SUPERMARKET = c(0.168006305985119,          0.168006305985119, 0.0916346746399726, 0.210915135620544,          0.146294584623949, 0.167319845962294, 0.142773459146917,          0.0995512052866983, 0.147450463248511, 0.177995229543633,          0.199173279096103, 0.185564776027004, 0.0207321820187816,          0.244158473149448, 0.0442147517112349, 0.244158473149448,          0.0442147517112349, 0.165776473264822, 0.0704323341151683,          0.121511691834874), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 6L, 6L, 8L, 6L, 8L, 6L, 8L, 8L, 9L, 6L, 10L, 4L,          10L, 4L, 8L, 7L, 10L), WITHIN_350M_BUS = c(6L, 6L, 5L,          6L, 8L, 9L, 9L, 8L, 7L, 6L, 6L, 7L, 9L, 9L, 4L, 9L, 4L,          8L, 8L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 5L, 6L, 7L,          7L, 7L, 7L, 5L, 7L, 7L, 7L, 7L, 6L, 4L, 6L, 4L, 5L, 4L,          6L), DNeighbour = c(0, 1.71095510315727, 513.986025616624,          551.120329865424, 586.749451209506, 663.391617060559,          709.091326760164, 723.051135978734, 727.004756169835,          731.01849311902, 759.93150295538, 781.850140228715, 809.639958084567,          917.892851090823, 920.041046132184, 920.39839923589,          926.955812655341, 970.113154146565, 1074.27248372873,          1111.26572641907)), row.names = c("403", "258", "240",      "283", "32", "57", "878", "76", "4", "537", "142", "349",      "754", "434", "405", "470", "996", "70", "488", "73"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99999525899004, 0.617909846082549, 0.568582694070225, 0.520150945561624,      0.414256427752941, 0.351455485222824, 0.332522275556834,      0.327189755456026, 0.321790863703745, 0.2834055586618, 0.255018095574467,      0.220129012629114, 0.100960479846595, 0.0989389369261989,      0.0986041804062471, 0.0925397847501157, 0.0565989273310153,      0.0042863727018981, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1070986070 
R squared (OOB):                  -0.3148271 

$Forests[[404]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 410000, 352000,      385000, 378000, 388000, 377000, 380000, 492500, 380000, 655000,      640000, 663000, 655000, 676000, 380000, 4e+05, 650000, 355000,      465000), floor_area_sqm = c(83, 103, 84, 91, 84, 98, 98,      92, 108, 93, 87, 87, 87, 87, 87, 93, 98, 104, 84, 104), storey_order = c(3L,      2L, 2L, 1L, 3L, 2L, 3L, 1L, 2L, 3L, 1L, 4L, 4L, 5L, 3L, 3L,      4L, 3L, 3L, 3L), remaining_lease_mths = c(803, 799, 800,      715, 799, 728, 735, 767, 912, 790, 1123, 1121, 1124, 1121,      1120, 724, 718, 815, 782, 760), PROX_CBD = c(8.52567265657093,      8.31972436488376, 8.28689365911172, 8.8262745849674, 8.15960948514705,      8.19895861369783, 8.07728506382532, 8.01258306529517, 8.12312779702036,      7.92065359752155, 9.39818328429371, 9.42381765287156, 9.49727834386093,      9.49727834386093, 9.49727834386093, 9.50206510185676, 9.5915755681771,      7.71625132507906, 7.37752466520609, 8.64488888098128), PROX_ELDERLYCARE = c(1.23693676843424,      1.3912791419992, 1.3668692597991, 0.896855030989675, 1.45090119588013,      1.1658248464307, 1.22552837794249, 1.38923408288603, 1.71708078323557,      1.44631042678071, 0.718190414835305, 0.750155484045513, 0.735218745429302,      0.735218745429302, 0.735218745429302, 0.619429799229152,      0.558000418748021, 1.13999552495818, 1.11141904944431, 0.17844978767297     ), PROX_HAWKER = c(0.0724679807682574, 0.252588085280054,      0.269406334629514, 0.311054993693233, 0.40344417957638, 0.391405491562813,      0.503102516785602, 0.532883444787396, 0.581802643409563,      0.646393168274836, 0.640059738279374, 0.667492197519696,      0.639074974233661, 0.639074974233661, 0.639074974233661,      0.518318645141504, 0.434568479089541, 0.888477780938884,      1.06790139631185, 0.917919654697093), PROX_MRT = c(0.510058766918036,      0.44379796826936, 0.467794692056616, 0.17731989795878, 0.408889372474398,      0.707144761815547, 0.711885268750489, 0.57194553577364, 0.142211914808532,      0.434970780163821, 0.401734036242065, 0.423547456258288,      0.499971219475903, 0.499971219475903, 0.499971219475903,      0.533910829474844, 0.656590823238566, 0.227897729387739,      0.450606800129455, 0.91698472228942), PROX_PARK = c(0.557643312318536,      0.59965919275643, 0.570592214216024, 0.458605630557841, 0.650146210437373,      0.372450573927522, 0.413960848298732, 0.580004121625521,      0.921087542045637, 0.790688256163915, 0.220484561261844,      0.258916726718906, 0.298527066745392, 0.298527066745392,      0.298527066745392, 0.26219477257436, 0.355705093322714, 0.374132090410645,      1.30417314517193, 0.238119977580318), PROX_GOOD_PRISCH = c(3.13534109620979,      3.04207330950824, 2.99359805566516, 2.8424495793979, 2.95345383530684,      2.73491137460549, 2.66084492380109, 2.75227504535898, 3.16123688190063,      2.86596411907387, 2.27458198186913, 2.24680049319454, 2.17599822879711,      2.17599822879711, 2.17599822879711, 2.18628235132699, 2.11809049366399,      1.93537396204111, 2.87682745937193, 2.37381492496372), PROX_MALL = c(1.96281231550532,      2.10790194839897, 2.09618768409308, 1.64561868645684, 2.20417563031698,      1.94983703099632, 2.0316459728171, 2.11322307221905, 2.25269448786787,      2.02812113432733, 1.45650167595406, 1.48330987402926, 1.45007786498113,      1.45007786498113, 1.45007786498113, 1.32833110917602, 1.22478662403239,      1.9342939090943, 1.52964479685301, 1.00281364182829), PROX_CHAS = c(0.169369143123463,      0.261198443001062, 0.229330661012247, 0.221229860630612,      0.102408834624747, 0.293834776478611, 0.279534674537085,      0.1333322783253, 0.169904154790832, 0.0418426354504526, 0.109789289200213,      0.0719365450960561, 0.101351467161616, 0.101351467161616,      0.101351467161616, 0.219477506246216, 0.346218272658546,      0.147762521806201, 0.123680988169118, 0.256340531367836),          PROX_SUPERMARKET = c(0.169391527985645, 0.272257424647181,          0.266710264104055, 0.221249484047241, 0.391977689272912,          0.293834967432244, 0.412975566732202, 0.475213328012689,          0.496146947525001, 0.6226371739075, 0.13637298984998,          0.100679215951394, 0.0715849245259307, 0.0715849245259307,          0.0715849245259307, 0.191210069763785, 0.300584979098838,          0.185503456748824, 0.15284622075069, 0.24778575064029         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 2L,          1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L, 2L, 2L, 3L,          2L, 2L, 1L, 3L, 6L, 6L, 6L, 6L, 6L, 6L, 5L, 3L, 5L, 4L         ), WITHIN_350M_BUS = c(8L, 9L, 7L, 5L, 7L, 7L, 6L, 6L,          8L, 6L, 6L, 5L, 4L, 4L, 4L, 2L, 5L, 6L, 9L, 8L), WITHIN_1KM_PRISCH = c(2L,          1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 3L, 1L, 1L, 1L, 1L, 1L,          1L, 2L, 3L, 3L, 2L), DNeighbour = c(0, 207.121812909368,          240.927611104156, 361.805570755321, 374.942607151488,          412.549977178313, 510.617200741759, 520.698700058971,          527.428323359481, 610.445990290217, 907.255190563453,          924.385369442778, 998.023480461968, 1001.11483228794,          1009.5365683538, 1045.25361806135, 1159.28211527801,          1205.35801244518, 1205.78264060174, 1209.86287989378)), row.names = c("404",      "540", "266", "814", "327", "29", "395", "200", "669", "1",      "657", "9", "466", "731", "593", "539", "746", "809", "948",      "487"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.942243851028045,      0.922262012150981, 0.82913961355837, 0.817141629005365, 0.7809724866593,      0.675482763579099, 0.663857550742093, 0.656028417895482,      0.555652807936435, 0.191560282067998, 0.173256309891205,      0.102099190135654, 0.0994189025893917, 0.0922576372621709,      0.0643134622781423, 0.00670207762157679, 5.52501088879643e-05,      4.53412060831e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8537465369 
R squared (OOB):                  0.4817366 

$Forests[[405]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 465000, 475000,      465000, 455000, 455000, 460000, 490888, 545000, 485000, 470000,      460000, 452000, 420000, 403000, 450000, 530000, 450000, 437000,      525000), floor_area_sqm = c(90, 90, 92, 95, 93, 92, 92, 93,      93, 95, 93, 92, 95, 93, 90, 95, 95, 94, 94, 97), storey_order = c(2L,      5L, 5L, 4L, 4L, 5L, 3L, 5L, 3L, 6L, 5L, 3L, 3L, 1L, 3L, 3L,      4L, 4L, 3L, 3L), remaining_lease_mths = c(1134, 1132, 1098,      1110, 1096, 1108, 1097, 1141, 1134, 1113, 1125, 1107, 1121,      1101, 1053, 1126, 1106, 1123, 1120, 1098), PROX_CBD = c(14.6796515041342,      14.6796515041342, 14.3437499696049, 14.3101587663686, 14.3469943525049,      14.2694643570804, 14.2694643570804, 14.4799585140632, 14.4432157047801,      14.2445424628862, 14.2374266118925, 14.2518409016409, 14.2856092918761,      14.3298082323417, 14.2313196249897, 14.1366846915735, 14.4087790426081,      14.0429369190019, 14.0691382395842, 14.3488328635023), PROX_ELDERLYCARE = c(1.45102259724198,      1.45102259724198, 1.14464302293932, 1.29024298571696, 1.07571195137499,      1.14423906696184, 1.14423906696184, 1.06862824267944, 1.44181352445962,      1.24643506877499, 1.2819446304668, 0.985840321219444, 1.29536834443332,      0.943112693551276, 1.23431696680562, 1.17371591683522, 0.87860471100088,      1.1015647640471, 1.08280856328681, 0.805205193908325), PROX_HAWKER = c(0.836784965651702,      0.836784965651702, 0.74882220835846, 0.961388959141492, 0.654543769257927,      0.826638245470088, 0.826638245470088, 0.462243392197612,      1.1926703176924, 0.968852406622053, 1.02089221118434, 0.656651462258042,      1.14967766552968, 0.494981643036057, 1.20453145676494, 1.09084844555913,      0.295591155505828, 1.07710025413616, 1.21079813450924, 0.28631929470226     ), PROX_MRT = c(0.391052893274669, 0.391052893274669, 0.217663394995295,      0.148967878322013, 0.131478587775223, 0.30438768875815, 0.30438768875815,      0.082651796212049, 0.142722405117506, 0.184117552261459,      0.148741201515391, 0.189142279194464, 0.0748886383392391,      0.122691316210064, 0.14509881944895, 0.218319465176875, 0.258499173090988,      0.324573358240557, 0.281224364060027, 0.320519516131068),          PROX_PARK = c(0.566439778554251, 0.566439778554251, 0.636899975343007,          0.444639968372477, 0.731552922713316, 0.599699049952129,          0.599699049952129, 0.682350458092963, 0.164631246691225,          0.481320095248247, 0.440474428767772, 0.785709089572823,          0.297003339879563, 0.760551135167525, 0.30799989212087,          0.474063272255088, 0.572778275466331, 0.58019258504408,          0.468913262301943, 0.585388118838944), PROX_GOOD_PRISCH = c(5.51577006817018,          5.51577006817018, 5.1680916684458, 5.21803047984022,          5.13548460888622, 5.12184985907385, 5.12184985907385,          5.20136656590841, 5.44062149940817, 5.1542412945362,          5.16870486361587, 5.03443000866885, 5.27158847877433,          5.05687720866847, 5.24106386657147, 5.09375212835948,          5.07040230577432, 4.9857651679507, 5.07622831499557,          4.99658730632735), PROX_MALL = c(0.38618207223371, 0.38618207223371,          0.38589862433106, 0.199960318099191, 0.480981762762808,          0.351657486288216, 0.351657486288216, 0.64848155368644,          0.0864828813466827, 0.248497232357685, 0.22058685557285,          0.535261743386166, 0.136646142991964, 0.644100917109673,          0.200492724858517, 0.295276560881227, 0.48422641650143,          0.401409437181884, 0.352184781664103, 0.415696526053807         ), PROX_CHAS = c(0.367772140885018, 0.367772140885018,          0.0401042229543167, 0.199960275799137, 0.0578525184286013,          0.120456720485379, 0.120456720485379, 0.149921511006425,          0.0864829242311455, 0.185564313785613, 0.177995101264401,          0.121511881264649, 0.136646133179357, 0.116678641770301,          0.200492722653611, 0.0995517477546361, 0.263312743704905,          0.0207330025336023, 0.167321001424632, 0.232702657922268         ), PROX_SUPERMARKET = c(0.0442147517112349, 0.0442147517112349,          0.165776473264822, 0.199173279096103, 0.0704323341151683,          0.244158473149448, 0.244158473149448, 0.149922203205158,          0.0916346746399726, 0.185564776027004, 0.177995229543633,          0.121511691834874, 0.146294584623949, 0.116679779166118,          0.210915135620544, 0.0995512052866983, 0.263313051629592,          0.0207321820187816, 0.167319845962294, 0.232703172737007         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 0L, 1L, 0L, 2L, 0L, 2L, 0L, 0L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 8L, 8L, 7L, 10L,          10L, 6L, 4L, 9L, 8L, 10L, 6L, 7L, 6L, 8L, 6L, 6L, 8L,          6L), WITHIN_350M_BUS = c(4L, 4L, 8L, 6L, 8L, 9L, 9L,          6L, 5L, 7L, 6L, 9L, 8L, 9L, 6L, 8L, 10L, 9L, 9L, 9L),          WITHIN_1KM_PRISCH = c(4L, 4L, 5L, 7L, 4L, 6L, 6L, 4L,          5L, 7L, 7L, 6L, 7L, 5L, 6L, 7L, 5L, 7L, 7L, 6L), DNeighbour = c(0,          7.00104434593016, 345.681559798333, 387.018578171484,          388.213393022438, 404.607461474527, 408.401580706988,          415.552220683251, 432.567579547134, 447.140993711145,          468.904114021776, 488.207944543495, 489.863984968976,          516.106978825193, 566.582427385928, 571.720712781959,          626.699064554235, 651.346166318759, 682.930574208294,          698.629720120539)), row.names = c("405", "996", "70",      "142", "488", "470", "434", "979", "240", "349", "537", "73",      "32", "688", "283", "76", "969", "754", "57", "363"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999799164846721, 0.570287110288422, 0.480414426350934,      0.477787298326087, 0.441682275749613, 0.433321870409418,      0.41757520570611, 0.380237244243205, 0.348533277656087, 0.301973988008966,      0.26180369708572, 0.258418726891634, 0.206352646396534, 0.117164888047111,      0.109104772173908, 0.0381493436495894, 0.0171034615497843,      0.00197471084354271, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1698416168 
R squared (OOB):                  -0.3984659 

$Forests[[406]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(405000, 430000, 410000,      420000, 405000, 415000, 395000, 450000, 448000, 430000, 393000,      455000, 360000, 380000, 380000, 367000, 362500, 412000, 390000,      495000), floor_area_sqm = c(104, 104, 106, 112, 105, 103,      106, 106, 116, 107, 103, 113, 84, 106, 107, 104, 103, 104,      109, 93), storey_order = c(2L, 2L, 2L, 4L, 3L, 3L, 2L, 4L,      3L, 4L, 2L, 5L, 3L, 1L, 2L, 1L, 3L, 2L, 1L, 2L), remaining_lease_mths = c(862,      861, 871, 866, 856, 834, 834, 834, 827, 868, 818, 824, 811,      887, 871, 879, 819, 878, 889, 1131), PROX_CBD = c(15.4019609662575,      15.4019609662575, 15.428944563277, 15.3605597168545, 15.3605597168545,      15.1256206124729, 15.1256206124729, 15.1256206124729, 15.1039483662242,      15.2985874116244, 14.8805910833212, 14.8805910833212, 14.7472020389823,      15.0291078847704, 15.2330821453909, 14.66420827852, 14.3801998083441,      14.1313829663274, 14.7712425946156, 14.1234549986629), PROX_ELDERLYCARE = c(1.7026350967472,      1.7026350967472, 1.63977306379889, 1.7630974884403, 1.7630974884403,      1.5866097118695, 1.5866097118695, 1.5866097118695, 1.55233595008815,      1.41400995500373, 1.53481387371296, 1.53481387371296, 1.19052284520552,      1.09928331705025, 1.22808745848404, 0.719957479461771, 0.709377020411434,      0.836104821253693, 0.729534612359916, 1.35242241046818),          PROX_HAWKER = c(0.985391408166863, 0.985391408166863,          1.09717995764468, 0.874437271649647, 0.874437271649647,          0.674198133913936, 0.674198133913936, 0.674198133913936,          0.672854909342646, 1.16406043263713, 0.395563323563994,          0.395563323563994, 0.606039227085063, 1.15922930524208,          1.40985252978436, 1.17971772396452, 0.928921275219278,          0.73352935155883, 1.70286767909083, 0.458626901673037         ), PROX_MRT = c(1.24252861976923, 1.24252861976923, 1.35104476777798,          1.13238128237287, 1.13238128237287, 0.930587839854138,          0.930587839854138, 0.930587839854138, 0.927742831261867,          1.40304810962874, 0.650195396152393, 0.650195396152393,          0.807097621625513, 1.36685465541241, 1.62235809597188,          1.12495588646837, 1.02650412956774, 0.735653331318593,          1.0665313702167, 0.250036690549804), PROX_PARK = c(0.934356673366442,          0.934356673366442, 1.02148060415503, 0.852232892319188,          0.852232892319188, 0.625625874274951, 0.625625874274951,          0.625625874274951, 0.613453702116727, 0.98341166564854,          0.355836862982211, 0.355836862982211, 0.432698189125414,          0.808345234949979, 0.633472210001671, 0.823954351824118,          0.71485218383349, 0.463826523913091, 0.405128535389849,          0.469588575534173), PROX_GOOD_PRISCH = c(3.78947597459801,          3.78947597459801, 3.79601078940401, 3.77322944876988,          3.77322944876988, 3.54140201350838, 3.54140201350838,          3.54140201350838, 3.51513652285447, 3.64472604970499,          3.33079371618761, 3.33079371618761, 3.13467644284063,          3.36640767040689, 3.56691345353299, 2.99834463762659,          2.72778429145315, 2.52734391167264, 3.13265552080448,          2.69456588548322), PROX_MALL = c(0.656741946143406, 0.656741946143406,          0.809004632748584, 0.502295694435402, 0.502295694435402,          0.445444903624544, 0.445444903624544, 0.445444903624544,          0.472438990852491, 0.597111778941966, 0.390496575840073,          0.390496575840073, 0.738705771798207, 0.486526360127578,          0.253259472709144, 0.669111824361406, 0.949257633150117,          0.66282583229379, 0.541352629222412, 0.232476208076891         ), PROX_CHAS = c(0.478794864158343, 0.478794864158343,          0.352996738297868, 0.563239471741591, 0.563239471741591,          0.387886097439527, 0.387886097439527, 0.387886097439527,          0.353464796953762, 0.0911939042613644, 0.448788349522024,          0.448788349522024, 0.19051372613691, 0.228652490110126,          0.210576528602503, 0.38494516455544, 0.453083161817035,          0.528800676490504, 0.220588325506638, 0.147334233235439         ), PROX_SUPERMARKET = c(0.1489144838969, 0.1489144838969,          0.252078878715955, 0.187279197917694, 0.187279197917694,          0.411626017932148, 0.411626017932148, 0.411626017932148,          0.429218479578941, 0.408284988301129, 0.447693008221967,          0.447693008221967, 0.326764101800336, 0.234691730121176,          0.21397076195142, 0.384052647553184, 0.513065398645433,          0.528799775767506, 0.49532093691776, 0.147334782275979         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 2L,          2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 1L, 0L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L, 3L, 3L, 2L,          2L, 2L, 2L, 1L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L         ), WITHIN_350M_BUS = c(9L, 9L, 11L, 10L, 10L, 6L, 6L,          6L, 7L, 13L, 5L, 5L, 9L, 8L, 12L, 7L, 2L, 6L, 8L, 13L         ), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L, 2L, 3L, 3L,          3L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 1L, 1L),          DNeighbour = c(0, 8.05263394121494, 156.167724902807,          158.374660522972, 158.734739018161, 312.193445037517,          313.530287752684, 319.267754215846, 328.881498202609,          396.553104037516, 595.869641664714, 602.886583909007,          661.678975337742, 666.028785915377, 748.325964094766,          994.45545171147, 1098.62689881477, 1275.34475496203,          1352.27956019889, 1409.64721058442)), row.names = c("406",      "495", "899", "782", "994", "233", "483", "457", "188", "934",      "639", "852", "136", "314", "428", "686", "3", "695", "527",      "212"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999934735359304,      0.975604014671741, 0.974914032379249, 0.974800561101187,      0.904308549702782, 0.903508099633155, 0.900037992892653,      0.894097960927814, 0.847987908936833, 0.674562688313978,      0.66762717785513, 0.607885179544494, 0.603361596951565, 0.515792816800521,      0.252325837177337, 0.154129493160184, 0.0329315477622815,      0.00635794401753654, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1141638407 
R squared (OOB):                  0.03987298 

$Forests[[407]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(670000, 7e+05, 540000,      415000, 315000, 475000, 463888, 410000, 421000, 578888, 525000,      558000, 392000, 425000, 430000, 350880, 385000, 388000, 350000,      490000), floor_area_sqm = c(92, 92, 92, 92, 91, 93, 95, 93,      93, 95, 95, 92, 103, 108, 91, 91, 104, 104, 105, 92), storey_order = c(5L,      4L, 6L, 2L, 1L, 4L, 1L, 4L, 4L, 2L, 5L, 6L, 2L, 3L, 4L, 2L,      4L, 3L, 1L, 3L), remaining_lease_mths = c(1121, 1126, 1142,      1130, 790, 1130, 1140, 788, 789, 1134, 1141, 1136, 833, 820,      777, 785, 740, 751, 837, 1038), PROX_CBD = c(11.0595651330709,      11.1573644039326, 11.3687765497058, 11.3687765497058, 10.6917699702976,      11.4536743231806, 11.4133195883395, 10.7402382849343, 10.8005053894847,      11.5493041544933, 11.6190928108465, 11.665784828589, 10.8307618753175,      10.7884209511687, 10.4167519306418, 10.3813809316332, 10.2659136784881,      10.2659136784881, 10.9742090734032, 11.6213283462416), PROX_ELDERLYCARE = c(1.41694161867716,      1.34447435494956, 1.27208236570677, 1.27208236570677, 1.07660186858624,      1.19895989384568, 1.61512702812623, 1.05196585123006, 1.11154389564577,      1.47184415110161, 1.40356458884146, 1.35367167055226, 1.12487398858542,      1.11323464510705, 0.852176862644424, 0.833489789321986, 0.737818764037149,      0.737818764037149, 0.852070403211021, 0.621923465733728),          PROX_HAWKER = c(1.19495083476736, 1.10011050744246, 1.07923254025891,          1.07923254025891, 1.35937058559257, 1.02903329925728,          1.4377955077332, 1.02652926791064, 0.918995125488027,          1.35052465166479, 1.37423229702662, 1.3549106116919,          0.775872885593274, 0.812377793689625, 1.55256346901264,          1.5910354083573, 1.65941342147148, 1.65941342147148,          0.487483409830997, 0.537052085835962), PROX_MRT = c(0.991329354536752,          0.876646963171676, 0.671331594421278, 0.671331594421278,          0.753106278920522, 0.573574303209013, 0.8250506195824,          0.546812793492647, 0.566932323762424, 0.653877184653349,          0.615423035680267, 0.561684506891731, 0.568072215940967,          0.526269526678983, 0.686459009674335, 0.699917284291438,          0.684374477874155, 0.684374477874155, 0.534522073584246,          0.182944945438028), PROX_PARK = c(0.275833477585303,          0.189026691537682, 0.294690087030438, 0.294690087030438,          0.536819237128991, 0.341254943367627, 0.60176146852012,          0.401614025373747, 0.370936327890873, 0.597750851398377,          0.654992910383756, 0.671016599957339, 0.443949121553361,          0.467051942358664, 0.613918856542286, 0.616002692100522,          0.570788416471153, 0.570788416471153, 0.623434891123849,          0.643411448820926), PROX_GOOD_PRISCH = c(2.8385375863655,          2.83177349547833, 2.95589454100459, 2.95589454100459,          2.68318776685765, 2.96812409551872, 3.26097143466547,          2.39141973384207, 2.34700895725274, 3.26501815247482,          3.31796907605439, 3.32537175969635, 2.22887532154294,          2.2131785217075, 2.62113030487697, 2.6286340652406, 2.58742850928016,          2.58742850928016, 2.09882394138718, 2.69528593883292),          PROX_MALL = c(0.76911725394793, 0.831480717149744, 0.814743407183115,          0.814743407183115, 0.459259689573629, 0.714729745574342,          0.979751787656279, 0.344610557976029, 0.363372953846058,          0.808458836713889, 0.768943294332632, 0.714662485508778,          0.384053234723219, 0.340751907865098, 0.350991485118426,          0.365493224544838, 0.364765391124967, 0.364765391124967,          0.606835933426222, 0.597386337892971), PROX_CHAS = c(0.0661119226245057,          0.0819321575559949, 0.257507761616553, 0.257507761616553,          0.0626028682349028, 0.31407050179696, 0.136218265087875,          0.106045676778667, 0.111289200730163, 0.0498455969042401,          0.119929951445322, 0.167944095298073, 0.2644107607892,          0.260152478655286, 0.302383860370021, 0.28517644723447,          0.204257711541377, 0.204257711541377, 0.20965056306942,          0.130352204164602), PROX_SUPERMARKET = c(0.444069124865739,          0.408274605358357, 0.30094246041235, 0.30094246041235,          0.550262392018624, 0.345653574215055, 0.0830307595499944,          0.357992185767737, 0.386863986973968, 0.0982179911218008,          0.16327623873727, 0.215917356790886, 0.407226974513028,          0.363982132031921, 0.519095500550079, 0.49431722643315,          0.384238743245603, 0.384238743245603, 0.477398814511427,          0.0679201472407272), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 1L, 1L, 0L, 0L, 2L, 2L, 0L, 0L, 0L, 2L, 1L, 1L,          1L, 1L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 1L, 4L, 3L, 6L, 6L,          6L, 6L, 2L, 6L), WITHIN_350M_BUS = c(9L, 6L, 10L, 10L,          7L, 8L, 4L, 6L, 9L, 4L, 3L, 4L, 11L, 8L, 9L, 10L, 8L,          8L, 8L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          4L, 1L, 5L, 5L, 2L, 2L, 2L, 6L, 6L, 2L, 2L, 2L, 2L, 6L,          6L), DNeighbour = c(0, 123.171692169302, 317.31804733578,          323.688123302082, 376.948642316797, 413.018382981769,          437.682407129272, 458.265550073428, 490.533443116531,          511.436822520213, 584.553808986861, 617.085404366908,          630.552576938353, 638.21486920447, 648.476118637816,          688.162460208848, 800.474887201491, 803.996427427854,          868.908459622802, 890.740785771097)), row.names = c("407",      "425", "876", "157", "569", "132", "303", "6", "56", "772",      "160", "830", "743", "696", "480", "626", "501", "77", "239",      "89"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.9621228752473,      0.762290727671709, 0.753330632884549, 0.67389975916919, 0.616226844257457,      0.575407975955668, 0.540685985512633, 0.485427715685066,      0.4493403942845, 0.324134738206352, 0.270461340876565, 0.248883330459112,      0.236807982194553, 0.220889185414432, 0.162514320122992,      0.0370203103271498, 0.0343306364929385, 0.00234448188940816,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6827988870 
R squared (OOB):                  0.3686958 

$Forests[[408]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 365000, 415000,      433000, 416000, 315000, 420000, 258000, 4e+05, 428000, 310000,      418000, 412000, 367000, 4e+05, 4e+05, 370000, 285000, 288000,      420000), floor_area_sqm = c(92, 92, 92, 92, 92, 84, 92, 84,      92, 92, 84, 92, 92, 92, 92, 92, 92, 84, 84, 92), storey_order = c(2L,      1L, 5L, 4L, 4L, 3L, 5L, 1L, 2L, 4L, 2L, 5L, 5L, 1L, 2L, 3L,      1L, 3L, 1L, 3L), remaining_lease_mths = c(1146, 1137, 1144,      1130, 1140, 804, 1143, 781, 1130, 1140, 811, 1138, 1144,      1137, 1137, 1143, 1146, 776, 770, 1144), PROX_CBD = c(16.0046521285213,      16.0046521285213, 15.9533618390172, 16.055983361932, 16.055983361932,      15.9050437012323, 16.1537572283104, 16.1631400386504, 16.1976566517324,      16.1831859860721, 15.7493840144196, 16.0903666266177, 16.0903666266177,      16.0903666266177, 16.0475930141239, 16.0475930141239, 15.87024444961,      16.2311391435218, 16.2681803933938, 15.9392575628934), PROX_ELDERLYCARE = c(0.20718686492254,      0.20718686492254, 0.251148223850536, 0.146417557277997, 0.146417557277997,      0.346730428331521, 0.0462823216560119, 0.194171564025932,      9.89208662673193e-07, 0.0701319802482612, 0.392042381698264,      0.179967723198436, 0.179967723198436, 0.179967723198436,      0.129564145964732, 0.129564145964732, 0.10693627682917, 0.252142982647588,      0.20801878428071, 0.0436662178849567), PROX_HAWKER = c(0.855932206484513,      0.855932206484513, 0.802087399746937, 0.897672222950446,      0.897672222950446, 0.79668564149145, 0.986028325459381, 1.03995728027003,      1.03146250928298, 1.00994702859189, 0.617009737136425, 0.9143232220583,      0.9143232220583, 0.9143232220583, 0.872301448799324, 0.872301448799324,      0.694651515851724, 1.12300848995143, 1.14155805943316, 0.765854363537175     ), PROX_MRT = c(0.883219311345816, 0.883219311345816, 0.8851452059773,      0.936151237003446, 0.936151237003446, 0.750476153315833,      1.02112351286352, 0.842728374229233, 1.02706758196582, 1.08237519657155,      0.825478596695925, 1.13213387762555, 1.13213387762555, 1.13213387762555,      1.14436247830993, 1.14436247830993, 1.09555222562317, 0.830985280221221,      0.896888955057001, 1.14464062157712), PROX_PARK = c(0.619767633008914,      0.619767633008914, 0.589052524814441, 0.683762717294504,      0.683762717294504, 0.475878847958935, 0.793519520304926,      0.707513815343702, 0.822565203699192, 0.848434833813522,      0.423881452963658, 0.83568858459355, 0.83568858459355, 0.83568858459355,      0.824988291997923, 0.824988291997923, 0.707790886000148,      0.723677668737743, 0.750067315759091, 0.777956069134633),          PROX_GOOD_PRISCH = c(6.57618460349959, 6.57618460349959,          6.52939634907869, 6.63421015362065, 6.63421015362065,          6.45664561130608, 6.74044920052795, 6.70927938580052,          6.78043949525415, 6.78038310261662, 6.32317863359129,          6.70919168347838, 6.70919168347838, 6.70919168347838,          6.67335529701902, 6.67335529701902, 6.49806658702102,          6.76533990958697, 6.81173689796023, 6.57394481891556),          PROX_MALL = c(0.110811660449771, 0.110811660449771, 0.161178852361569,          0.118546137622893, 0.118546137622893, 0.18299798168314,          0.180580587241737, 0.0870960802892481, 0.189710317758296,          0.241735562355662, 0.340817581482914, 0.311149009276151,          0.311149009276151, 0.311149009276151, 0.339403259296736,          0.339403259296736, 0.388975340293238, 0.175221521556568,          0.188162247463955, 0.391567182053879), PROX_CHAS = c(0.114687044901222,          0.114687044901222, 0.165813590617473, 0.110329053122027,          0.110329053122027, 0.190026772642962, 0.0922372285822684,          0.081875317774622, 0.0868060808909073, 0.148113838308576,          0.347229964463676, 0.215238065300109, 0.215238065300109,          0.215238065300109, 0.16574506375663, 0.16574506375663,          0.140210421841136, 0.170601730776313, 0.160774225575301,          0.0895372628546906), PROX_SUPERMARKET = c(0.112847248683738,          0.112847248683738, 0.162291812321236, 0.123371553336512,          0.123371553336512, 0.179336240856332, 0.186806037215644,          0.0873208554119548, 0.195853508350489, 0.247969406526707,          2.98731019421495e-07, 0.316789996913415, 0.316789996913415,          0.316789996913415, 0.344658205065017, 0.344658205065017,          0.287679129281494, 0.137275095711229, 0.189660657064324,          0.354688671920554), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,          0L, 1L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 3L, 4L, 8L, 6L, 8L, 7L, 5L, 2L, 2L, 2L, 2L, 2L,          4L, 5L, 6L, 3L), WITHIN_350M_BUS = c(7L, 7L, 8L, 7L,          7L, 8L, 7L, 11L, 7L, 7L, 7L, 8L, 8L, 8L, 9L, 9L, 8L,          10L, 11L, 9L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L,          5L, 6L, 4L, 5L, 5L, 4L, 6L, 4L, 4L, 4L, 4L, 4L, 4L, 5L,          5L, 4L), DNeighbour = c(0, 2.53798891393376, 52.8956826186656,          65.3619117817237, 66.0369124764609, 143.422751121624,          171.295607142909, 192.919892432548, 212.017938881994,          227.953169298407, 251.067541530388, 251.203196058954,          255.828783366661, 256.002945874238, 268.730078483332,          269.241372973155, 283.078166716356, 284.366385354056,          284.705764354087, 296.41049209917)), row.names = c("408",      "594", "124", "741", "538", "59", "869", "872", "427", "661",      "956", "249", "919", "161", "440", "28", "582", "945", "798",      "517"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999853375558135,      0.937322392534782, 0.905113808214875, 0.903193991941159,      0.586563555658935, 0.44359816323706, 0.332224674639832, 0.238502875252849,      0.166928583032485, 0.0798323038168971, 0.079394672955185,      0.0650640286596442, 0.064547456960806, 0.0317017934888396,      0.0305967482617525, 0.00773263303836325, 0.00633860278583542,      0.0059934155838184, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1144420378 
R squared (OOB):                  0.6141793 

$Forests[[409]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(510000, 495000, 540000,      475000, 505000, 540000, 565000, 575000, 580000, 580000, 520000,      548888, 376000, 5e+05, 505000, 380000, 490000, 433000, 403500,      380000), floor_area_sqm = c(93, 93, 93, 90, 90, 90, 92, 92,      92, 92, 92, 92, 102, 92, 92, 92, 92, 92, 90, 90), storey_order = c(3L,      3L, 4L, 5L, 6L, 3L, 3L, 4L, 4L, 4L, 1L, 2L, 5L, 3L, 4L, 1L,      3L, 4L, 5L, 4L), remaining_lease_mths = c(1076, 1076, 1075,      1031, 1033, 1067, 1127, 1137, 1140, 1134, 1138, 1130, 944,      1049, 1051, 1037, 1038, 1084, 965, 973), PROX_CBD = c(11.734228152501,      11.7824349405223, 11.8019303594103, 11.780035597066, 11.6571985599938,      11.5237533038112, 11.6525204845234, 11.6525204845234, 11.6525204845234,      11.7494815193957, 11.6952918230505, 11.7494815193957, 11.9885535057438,      11.4975151935682, 11.4388659085475, 11.6419253241709, 11.6213283462416,      11.8702915361943, 12.0682850666201, 11.9491294576901), PROX_ELDERLYCARE = c(0.217445500321488,      0.213047345375207, 0.184707688528033, 0.389019901488026,      0.400746835300904, 0.374021376468387, 0.090696724945174,      0.090696724945174, 0.090696724945174, 0.0736890817471424,      0.0818897866131208, 0.0736890817471424, 0.468647269590137,      0.485429735975203, 0.529438756707198, 0.626216066088841,      0.621923465733728, 0.670900780040593, 0.36227142211874, 0.351349913726565     ), PROX_HAWKER = c(0.366555491930585, 0.411134055372247,      0.425288384889406, 0.475091880549249, 0.38372613736418, 0.235307086042243,      0.325622570567264, 0.325622570567264, 0.325622570567264,      0.418792449609449, 0.374319678668878, 0.418792449609449,      0.661637750611862, 0.320302217757218, 0.319632581294072,      0.553081930127745, 0.537052085835962, 0.715369360111721,      0.732401821736703, 0.693645859237657), PROX_MRT = c(0.276453864170284,      0.323171872402698, 0.341923672362566, 0.149757666469573,      0.187661086924798, 0.148196296616071, 0.219824289848129,      0.219824289848129, 0.219824289848129, 0.183595482094196,      0.18359152527436, 0.183595482094196, 0.253577460439113, 0.24936700359253,      0.264110896255266, 0.168432978085695, 0.182944945438028,      0.146531371307633, 0.353072027979069, 0.207404211118571),          PROX_PARK = c(1.00928973198994, 1.04913519120928, 1.09015045463689,          0.915827670442916, 0.822874314333037, 0.808531626238996,          1.18955170998222, 1.18955170998222, 1.18955170998222,          1.25382465781663, 1.23082333360032, 1.25382465781663,          0.965214735166117, 0.698336840868775, 0.653351036954048,          0.654970873229416, 0.643411448820926, 0.8322137924942,          1.2554933111164, 1.42337349535551), PROX_GOOD_PRISCH = c(2.54247396470066,          2.5757070458522, 2.57167610218627, 2.67648686403773,          2.58492752090912, 2.43173748992112, 2.3279627535371,          2.3279627535371, 2.3279627535371, 2.40225451049103, 2.35260315569007,          2.40225451049103, 2.84793008582659, 2.48345794754568,          2.45055199705462, 2.71543842399088, 2.69528593883292,          2.91053685401804, 2.66094910730305, 2.48771655129493),          PROX_MALL = c(0.781937846313192, 0.732391369928616, 0.70263709534569,          0.657761426948524, 0.718523422751835, 0.840908486660855,          0.807719243520252, 0.807719243520252, 0.807719243520252,          0.730910693989521, 0.785373664552542, 0.730910693989521,          0.581599658792334, 0.805279144871904, 0.840491697823826,          0.576398809288588, 0.597386337892971, 0.385092319171944,          0.424043071559413, 0.591401580344059), PROX_CHAS = c(0.203102352137365,          0.182294192745256, 0.144895120017984, 0.165734916528407,          0.162236141473446, 0.0822817354855642, 0.162428164506486,          0.162428164506486, 0.162428164506486, 0.105514964386053,          0.141926234339659, 0.105514964386053, 0.0548782345589675,          0.18789773503711, 0.210772889992189, 0.118628580179885,          0.130352204164602, 0.179381733260264, 0.0850792531740411,          0.136369833447508), PROX_SUPERMARKET = c(0.206717744357565,          0.186528474083994, 0.149354766345577, 0.328761363845442,          0.248678179468178, 0.113409172087645, 0.158766807317564,          0.158766807317564, 0.158766807317564, 0.100761764224213,          0.137537075296593, 0.100761764224213, 0.41771106664497,          0.186124684843571, 0.189609627596398, 0.0879874709963817,          0.0679201472407272, 0.31749021679057, 0.0850782630125017,          0.234851160706955), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(8L, 8L,          7L, 9L, 8L, 4L, 4L, 4L, 4L, 5L, 4L, 5L, 6L, 4L, 4L, 6L,          6L, 9L, 5L, 6L), WITHIN_350M_BUS = c(10L, 11L, 13L, 8L,          9L, 5L, 11L, 11L, 11L, 14L, 13L, 14L, 14L, 8L, 7L, 8L,          8L, 10L, 12L, 12L), WITHIN_1KM_PRISCH = c(5L, 7L, 6L,          6L, 5L, 4L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 4L, 5L, 5L, 6L,          5L, 7L, 7L), DNeighbour = c(0, 53.9811482077943, 83.9996334750413,          175.595127917035, 196.147604239782, 229.292959614655,          276.527716030359, 282.151760978392, 283.45132957749,          284.954583318846, 292.495541302767, 293.24748844823,          315.892641800912, 317.205998671007, 367.303495786266,          409.667025503188, 413.286170793757, 463.062659016502,          479.16978165391, 534.306226721178)), row.names = c("409",      "260", "342", "263", "977", "652", "557", "580", "792", "281",      "917", "808", "486", "553", "271", "421", "89", "110", "860",      "175"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.97968991996173,      0.951179310838144, 0.795654817629441, 0.748627078712304,      0.665590987365981, 0.536038915772916, 0.520043977147757,      0.516337131014173, 0.512044716420687, 0.490447841810937,      0.488289293661758, 0.423096466212724, 0.419315960079125,      0.278178382176871, 0.169850859803972, 0.161360374230977,      0.0619500996407858, 0.0383127676472278, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2169861493 
R squared (OOB):                  0.5262914 

$Forests[[410]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(440000, 410000, 435000,      417000, 435000, 380000, 412000, 565000, 420000, 575000, 540000,      585000, 390000, 658000, 615000, 438000, 376888, 430000, 447000,      360000), floor_area_sqm = c(100, 100, 99, 99, 100, 104, 103,      93, 104, 93, 93, 93, 104, 84, 84, 104, 104, 104, 107, 84),          storey_order = c(3L, 3L, 2L, 3L, 4L, 1L, 4L, 6L, 2L,          5L, 4L, 4L, 1L, 3L, 2L, 2L, 3L, 2L, 3L, 2L), remaining_lease_mths = c(911,          915, 928, 914, 924, 924, 918, 1127, 922, 1133, 1142,          1142, 809, 1120, 1122, 812, 810, 819, 782, 762), PROX_CBD = c(12.2087069526051,          12.2087069526051, 12.2106818490232, 12.2815153207229,          12.114386347938, 12.0301392517655, 11.9871965659798,          12.4937468159193, 11.8892341343185, 12.4342034244884,          12.5378737745647, 12.454441113408, 11.7882471009294,          12.4891302242583, 12.3801819754074, 11.7215458353159,          11.622690560426, 11.547248638023, 11.7840832214562, 11.4815172953657         ), PROX_ELDERLYCARE = c(0.434858408662556, 0.434858408662556,          0.442541563379791, 0.513657423159811, 0.421163091926404,          0.255083942589415, 0.210296865683283, 0.714783075399861,          0.110349805405523, 0.678867196986192, 0.76025522927712,          0.717258387107597, 0.114277277444971, 0.707031754326944,          0.738453704244922, 0.240093333498969, 0.175524774720266,          0.246353759583753, 0.481333190444255, 0.182032582488253         ), PROX_HAWKER = c(0.692592935098248, 0.692592935098248,          0.524204307723605, 0.52278816815954, 0.885134801830427,          0.598391326300702, 0.625285574708341, 0.680821394190482,          0.684056106771311, 0.504612881494125, 0.672948721825079,          0.459376407452819, 0.647051853283446, 0.384467206049481,          0.261296216065877, 0.609281739536534, 0.783966268147895,          0.837769476188058, 0.436117874461739, 0.728271246274353         ), PROX_MRT = c(0.89623888155871, 0.89623888155871, 0.743103019894999,          0.703998835661039, 1.10882075300419, 0.885297742933312,          0.923336133969517, 0.743366527772832, 1.00424261648768,          0.586933783104383, 0.707305973375369, 0.518913352820399,          1.00317447086964, 0.38468199977318, 0.367154517888221,          0.989064774064853, 1.15515804744233, 1.16228231940478,          0.81394482428473, 0.756359380624344), PROX_PARK = c(0.954913184146477,          0.954913184146477, 0.863487882808023, 0.796788171077343,          1.14970360230785, 1.04875150887626, 1.09395352284574,          0.683130710636032, 1.19263079577799, 0.628391467794767,          0.628331945846246, 0.580711209690395, 1.24877122811849,          0.50651752093578, 0.605799570777928, 1.28416187507733,          1.41684131410086, 1.4881280763212, 1.20101103678102,          1.50398184725757), PROX_GOOD_PRISCH = c(1.04944877580977,          1.04944877580977, 0.91368762909787, 0.952579960345566,          1.17061030478036, 0.860616187528585, 0.855677549512306,          1.16886515239787, 0.842915880539328, 1.01367306567257,          1.17951788917503, 0.990054087408291, 0.713901761199557,          0.94986022590219, 0.823417580851307, 0.585140695782779,          0.733057242670121, 0.735233663606362, 0.357669915539773,          0.365254403810308), PROX_MALL = c(0.802829369116586,          0.802829369116586, 0.634332011832188, 0.630705874818675,          0.995792127022496, 0.707201836140707, 0.732793638615111,          0.778202426893423, 0.787722851944232, 0.600548053404267,          0.766094086501437, 0.549832225559512, 0.741052769880115,          0.458049841664737, 0.344173235497563, 0.690287469384684,          0.868993594299523, 0.918014501744059, 0.489619370966043,          0.763531318053358), PROX_CHAS = c(0.0852358826892552,          0.0852358826892552, 0.140964983635816, 0.0753088652692227,          0.138740180982893, 0.202915262499126, 0.171681037809818,          0.147744885974614, 0.124859952031804, 0.134041173915956,          0.187116592266412, 0.134313038880304, 0.0554870656895364,          3.00974727266337e-08, 0.126495411341712, 0.164718468919614,          0.151742844958785, 0.157099147473317, 0.0667093090499658,          0.0516610437101642), PROX_SUPERMARKET = c(0.414959148864982,          0.414959148864982, 0.377835654599335, 0.448534184110051,          0.459680111992834, 0.20670525505664, 0.172282484091702,          0.667447252804164, 0.114394571204967, 0.543693418915242,          0.707597649659388, 0.499432454100223, 0.0453848138423891,          0.425107542879533, 0.30203349112312, 0.169255457402684,          0.151741730066283, 0.157098334004615, 0.379080894647373,          0.19171128272723), WITHIN_350M_KINDERGARTEN = c(2L, 2L,          1L, 1L, 2L, 2L, 2L, 0L, 2L, 2L, 0L, 2L, 3L, 2L, 2L, 2L,          1L, 1L, 2L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L,          6L, 1L, 5L, 5L, 4L, 8L, 4L, 5L, 4L, 8L, 2L, 3L, 6L, 7L,          7L, 3L, 5L), WITHIN_350M_BUS = c(11L, 11L, 11L, 12L,          8L, 7L, 6L, 11L, 9L, 12L, 11L, 11L, 9L, 10L, 8L, 10L,          8L, 11L, 7L, 14L), WITHIN_1KM_PRISCH = c(1L, 1L, 2L,          2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 3L, 5L, 4L, 3L, 2L,          2L, 4L, 3L), DNeighbour = c(0, 0.610577728817397, 168.482642979659,          194.465648125884, 209.14413526691, 214.802553553449,          249.28280052382, 296.651826506356, 333.32455282893, 338.548827537029,          343.099516898314, 395.856455600993, 460.608022448166,          521.625877257172, 534.057652877011, 576.354170618139,          606.127468463763, 679.408088759256, 707.031570615152,          929.453365849149)), row.names = c("410", "680", "42",      "362", "707", "727", "689", "24", "148", "310", "343", "641",      "508", "505", "315", "625", "750", "598", "340", "213"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999999136908954, 0.935361599441256, 0.914365397227292,      0.901297144489227, 0.896032373644478, 0.861307972821889,      0.806640640813249, 0.759318125453169, 0.752253544355396,      0.746037779709904, 0.670117604336345, 0.569136915953218,      0.469272204923274, 0.448689067277494, 0.378810466854091,      0.330305595895076, 0.216852377372863, 0.177528584264058,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1459816104 
R squared (OOB):                  0.8130169 

$Forests[[411]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(538000, 418000, 409500,      520000, 465000, 385000, 488000, 560000, 515000, 620000, 450000,      290000, 660000, 446000, 440000, 480000, 451000, 445000, 582000,      515000), floor_area_sqm = c(90, 84, 84, 107, 91, 93, 104,      105, 84, 103, 104, 87, 105, 94, 93, 94, 83, 84, 104, 110),          storey_order = c(5L, 3L, 3L, 2L, 2L, 1L, 1L, 2L, 4L,          4L, 1L, 1L, 6L, 2L, 3L, 6L, 8L, 3L, 3L, 1L), remaining_lease_mths = c(995,          804, 807, 892, 764, 772, 776, 913, 804, 742, 828, 643,          748, 723, 759, 725, 604, 647, 935, 859), PROX_CBD = c(4.4759193492502,          4.20973993763024, 4.20973993763024, 4.23142849537126,          4.28329341592686, 4.25035751849909, 4.16405648472164,          3.91005014077452, 3.75781957676323, 3.79744534670369,          5.12061996426338, 4.35364804731157, 3.5952466633456,          4.45295385586978, 5.4791067318598, 4.50933618399607,          3.63056019358172, 4.82546817648507, 5.4901102241405,          5.31333197008925), PROX_ELDERLYCARE = c(0.136621520737764,          0.156291063754703, 0.156291063754703, 0.272010492111063,          0.4193003334471, 0.411587417191489, 0.434539750657667,          0.449207181019876, 0.582389211118023, 0.296175206272889,          0.279354008399566, 0.402111762367986, 0.354500614782039,          0.645271528549996, 0.505585511375112, 0.665866395733666,          0.124703716495981, 0.401252043911139, 0.157919913507301,          0.301885421229742), PROX_HAWKER = c(0.736355433757935,          0.46881842734995, 0.46881842734995, 0.392124905911543,          0.638679046714181, 0.610932712322496, 0.502732414569621,          0.464701711390969, 0.393163811818296, 0.300770398866256,          0.158729667464322, 0.52502919100195, 0.311385334077859,          0.601904675681234, 0.736115689949186, 0.665007751295857,          0.0619655343942362, 0.33634581375869, 0.258924665495,          0.15027253820603), PROX_MRT = c(0.930431293452388, 0.750034220630686,          0.750034220630686, 0.870814763860364, 0.637237645879563,          0.605174310138743, 0.518003091395578, 0.361698258812245,          0.434583879195091, 0.195276091150508, 1.12797954219589,          0.698417082344063, 0.16267041353008, 0.66128766903618,          0.797555156120123, 0.549595780709265, 0.188513622979597,          0.437510974512092, 1.30755754576723, 0.839256513816073         ), PROX_PARK = c(0.786607284590569, 0.828179073128827,          0.828179073128827, 0.989030190878471, 0.336599362476296,          0.346786980248178, 0.269719137898212, 0.651892034671684,          0.885911587583127, 0.620239922284967, 1.12857946410316,          0.0959047492621704, 0.796125682214674, 0.473457593144303,          0.728040918615253, 0.353281501558379, 0.634729277660292,          0.386749503328341, 0.803347187860442, 0.919693677764514         ), PROX_GOOD_PRISCH = c(3.43096694593549, 3.58178441884724,          3.58178441884724, 3.47561641519302, 3.85984302070176,          3.87277035706644, 3.99853475328204, 3.96984616110429,          3.98479480133756, 4.13618512399158, 2.70116277997296,          4.11088283479722, 4.26949140427292, 3.02211493728223,          2.93310132502147, 2.94429219434277, 4.47678155678584,          2.65585299610189, 2.45379201830723, 2.32631552336422),          PROX_MALL = c(1.02435160052226, 1.26743973989934, 1.26743973989934,          1.1888213641646, 0.92062293894618, 0.955673327573223,          1.00998414702412, 1.2652175398851, 1.1081035152608, 1.16769889708728,          1.02774547618649, 0.801857467962545, 0.962766222186716,          0.570379319619026, 0.719613179783111, 0.485349818185599,          0.917363569028491, 0.337875853585261, 1.21674302842157,          0.752077094160308), PROX_CHAS = c(0.105578702221058,          0.163154212627783, 0.163154212627783, 0.106822211501606,          0.285886541141976, 0.260827480873255, 0.147909276913635,          0.108899254787234, 0.345906079563203, 0.121619853002556,          0.193072984237221, 0.130252709580884, 0.0963682910788478,          0.303272176186244, 0.0706483510319072, 0.331046161101227,          0.112941217538546, 0.315432137833306, 0.233242749827373,          0.111194343620761), PROX_SUPERMARKET = c(0.0670716613901785,          0.118448079318654, 0.118448079318654, 0.139079920157556,          0.506434284786685, 0.512280309006142, 0.506391752127701,          0.115229795891962, 0.128350069204848, 0.191561540751545,          0.198191070641627, 0.591301773724787, 0.269187390315468,          0.34627255092781, 0.0706487501399716, 0.325943517329761,          0.0867224629960944, 0.0907256678718214, 0.37596142908425,          0.370675298005651), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 0L, 0L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(2L, 3L,          3L, 6L, 4L, 5L, 6L, 4L, 4L, 4L, 4L, 4L, 4L, 1L, 2L, 1L,          5L, 2L, 3L, 3L), WITHIN_350M_BUS = c(5L, 7L, 7L, 7L,          5L, 5L, 5L, 5L, 3L, 5L, 9L, 6L, 6L, 6L, 3L, 5L, 4L, 8L,          10L, 12L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L, 3L,          3L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 1L, 2L, 0L, 2L, 2L, 3L,          3L), DNeighbour = c(0, 280.411713281034, 286.267359406605,          358.256742445308, 449.665140464541, 450.52200792425,          580.852509211021, 589.534520632905, 715.991308675242,          731.420506936643, 741.796887403894, 791.486200957406,          912.141778614094, 931.748289322591, 1027.24499265667,          1043.46378686743, 1046.24732635094, 1052.4310267346,          1070.61707223009, 1121.92761276599)), row.names = c("411",      "907", "382", "849", "747", "19", "223", "176", "234", "952",      "646", "532", "699", "346", "802", "622", "237", "288", "307",      "279"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.878964895410198,      0.874028760019054, 0.80646350972945, 0.704528269284624, 0.703499927625692,      0.535763222216712, 0.524010591438861, 0.351325065961743,      0.33060737508016, 0.316788953805361, 0.252317515801966, 0.114927642811613,      0.0962788873102648, 0.026135076724717, 0.0182201701472819,      0.0169939691990664, 0.0144121890494627, 0.00798823326421754,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5694856527 
R squared (OOB):                  0.2036217 

$Forests[[412]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 295000, 380000,      363000, 4e+05, 365000, 645000, 342000, 428000, 357000, 312000,      415000, 420000, 335000, 345000, 355000, 420000, 358888, 5e+05,      390000), floor_area_sqm = c(99, 99, 90, 97, 97, 95, 91, 94,      98, 104, 104, 100, 90, 90, 92, 94, 99, 91, 91, 104), storey_order = c(2L,      1L, 7L, 4L, 1L, 1L, 8L, 1L, 3L, 3L, 2L, 1L, 2L, 1L, 2L, 1L,      3L, 3L, 2L, 1L), remaining_lease_mths = c(736, 730, 985,      701, 734, 735, 1124, 747, 730, 844, 828, 944, 925, 731, 742,      1071, 929, 763, 706, 763), PROX_CBD = c(13.0062996581569,      13.0062996581569, 13.0015179461712, 12.1013944735855, 13.4040436118709,      13.3652677077184, 14.8760787686193, 13.7770670669378, 14.0949321583848,      15.1925589930818, 15.1925589930818, 13.1525533734461, 12.960867808991,      13.8901285505698, 13.8901285505698, 15.3735649652411, 13.2222340992065,      13.6826822978472, 10.2657373615824, 13.1145091682395), PROX_ELDERLYCARE = c(2.38777651439997,      2.38777651439997, 2.41293236098656, 2.41403538414825, 0.954835536666776,      0.876024529291782, 0.68142631506584, 0.919307603677702, 1.07365166923746,      0.485996598795361, 0.485996598795361, 0.640770029240432,      0.579007844644764, 0.540311266279695, 0.540311266279695,      0.0572763643156628, 0.385934705647939, 0.000158780971194199,      0.519949541574078, 0.233566729538939), PROX_HAWKER = c(0.353572407863602,      0.353572407863602, 0.351298271738361, 0.561617227785994,      0.780321580506598, 0.775887609068758, 0.74974565017819, 0.478671478091809,      0.516176882783883, 0.787542750423298, 0.787542750423298,      0.959649545299011, 1.16344345150942, 0.213123049695643, 0.213123049695643,      0.371848396937832, 1.08380419022874, 0.699744847940348, 0.527790221924738,      1.24018164124527), PROX_MRT = c(1.27898935828478, 1.27898935828478,      1.33144343213696, 1.71497473755306, 0.515309591544804, 0.585785046275015,      1.79130926962811, 0.771349314593772, 0.499812381699912, 1.85503706760258,      1.85503706760258, 0.944408516927639, 0.899387073359532, 0.793013171832836,      0.793013171832836, 0.753708157385654, 0.503688459146237,      0.751023886560838, 0.351828842975553, 0.402767024758649),          PROX_PARK = c(1.09068530070835, 1.09068530070835, 1.07883678308045,          0.181629272169071, 1.22140134317452, 1.30724345285799,          1.13853863936216, 0.941140572803456, 0.62523741493865,          1.41855585272788, 1.41855585272788, 1.65277848527316,          1.44660566239193, 1.23128896715218, 1.23128896715218,          0.535685352466539, 1.61082819122054, 1.77145949687945,          0.752867192571236, 1.4917670023494), PROX_GOOD_PRISCH = c(2.37986575446387,          2.37986575446387, 2.38441646582032, 1.52909264222103,          2.95770979509606, 2.95461231779958, 4.21930918110887,          3.3146343023011, 3.57828936266804, 4.5504124031687, 4.5504124031687,          2.95137840528657, 2.82458087567675, 3.56420611596829,          3.56420611596829, 4.72825571795328, 3.2388029474634,          3.58938982364218, 0.402201611323318, 3.15473759747012         ), PROX_MALL = c(1.26979124568258, 1.26979124568258,          1.32151107168067, 1.69674818443598, 0.412160376682232,          0.473263954532778, 0.829646558484038, 0.672803550263317,          0.812049880186, 0.816582289717011, 0.816582289717011,          0.703422933264244, 0.695129776671669, 1.05377974643614,          1.05377974643614, 0.408391974099547, 0.587950861513872,          0.770100764029299, 0.347570072991699, 0.504156272689578         ), PROX_CHAS = c(0.178755496827681, 0.178755496827681,          0.185431787540406, 0.26797195188846, 0.240863562772424,          0.179342279988699, 0.426635940266524, 0.0886717393158711,          0.135156069731972, 0.0584110846116202, 0.0584110846116202,          0.1365287941905, 0.341366062526918, 0.0812638133573676,          0.0812638133573676, 0.289984207596008, 0.151225190585885,          0.110149755252424, 0.329846033180528, 0.11048408202451         ), PROX_SUPERMARKET = c(0.178755398427066, 0.178755398427066,          0.185431698278212, 0.570395350553557, 0.422907964790702,          0.487840963146543, 0.341487242626205, 0.334979160094168,          0.352618767904154, 0.515584409426496, 0.515584409426496,          0.688592108834651, 0.668273194253219, 0.082811926566736,          0.082811926566736, 0.406388098650168, 0.459946280432931,          0.11210687568128, 0.353445486406562, 0.362446168440829         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 2L, 0L, 2L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 1L, 5L, 6L,          6L, 3L, 1L, 4L, 4L, 2L, 1L, 4L, 4L, 4L, 5L, 3L, 4L, 6L         ), WITHIN_350M_BUS = c(7L, 7L, 10L, 10L, 6L, 6L, 10L,          10L, 9L, 11L, 11L, 6L, 2L, 4L, 4L, 12L, 8L, 9L, 10L,          7L), WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 0L, 2L, 2L, 0L,          2L, 2L, 0L, 0L, 2L, 3L, 4L, 4L, 1L, 4L, 2L, 3L, 3L),          DNeighbour = c(0, 5.00774356087354, 57.7804391493414,          916.591973396234, 1773.66417917832, 1853.29687238829,          1877.1809378881, 1928.86753647323, 1974.85927233183,          2186.49763995876, 2186.88921465138, 2248.47146688212,          2304.80971862867, 2356.79802967938, 2358.78004008279,          2585.11582998341, 2695.6087104226, 2726.95226516988,          2778.28209505925, 2791.42673864761)), row.names = c("412",      "445", "45", "40", "757", "238", "312", "337", "25", "104",      "589", "496", "831", "90", "214", "601", "350", "1000", "649",      "164"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999993563333753,      0.999143265698795, 0.795985017874385, 0.355538688882185,      0.312709258513671, 0.300051478590321, 0.273030420325151,      0.249482109591102, 0.149348410277051, 0.149178591060871,      0.123329423413011, 0.10129051832638, 0.082460674358064, 0.0817732358380481,      0.0202649540879129, 0.00455265828569868, 0.00208494076507967,      8.82790553820287e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6958746815 
R squared (OOB):                  -0.169573 

$Forests[[413]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 810000, 530000,      795888, 745000, 8e+05, 566888, 533000, 649888, 685000, 840000,      755000, 750000, 825000, 820000, 408000, 495000, 413888, 620000,      7e+05), floor_area_sqm = c(92, 90, 118, 95, 90, 105, 88,      88, 87, 85, 87, 90, 90, 87, 87, 84, 91, 88, 102, 95), storey_order = c(1L,      10L, 2L, 7L, 7L, 6L, 8L, 1L, 3L, 4L, 14L, 5L, 11L, 5L, 9L,      6L, 3L, 2L, 3L, 3L), remaining_lease_mths = c(555, 1045,      594, 1140, 1057, 938, 650, 653, 1103, 1038, 1141, 1038, 1035,      1136, 1136, 647, 648, 668, 908, 1100), PROX_CBD = c(5.99479776583207,      5.99670752478149, 6.1023364257416, 6.26284978479934, 6.0390103189171,      6.53309552941355, 6.76124856282603, 6.92829321613491, 7.02256530608061,      4.89531124268982, 4.70219035054856, 4.88070069409732, 4.88070069409732,      4.59114385332588, 4.59114385332588, 5.38657645344473, 5.90960582305016,      7.88501742637481, 4.95292174150019, 7.97001655790022), PROX_ELDERLYCARE = c(0.420516157550055,      0.788986586736525, 0.14668864145384, 0.69800247969724, 0.798119493593788,      0.112238297630375, 0.20742531007413, 0.389684735109723, 0.467453442926814,      0.307888742732217, 0.200702517977741, 0.312658206579851,      0.312658206579851, 0.125633226962327, 0.125633226962327,      0.465891927060243, 1.51538883702403, 0.487583248392117, 0.0718437191527097,      0.682273370470252), PROX_HAWKER = c(0.295460487376037, 0.199496524550099,      0.107292567178633, 0.130331819855385, 0.151348144296069,      0.357983508144609, 0.171967883722699, 0.133504850959355,      0.207247650371579, 0.546104933523636, 0.646528219825606,      0.595417483526792, 0.595417483526792, 0.762382071136897,      0.762382071136897, 0.351855498276287, 0.358173289653819,      0.645875214067525, 0.126776661941161, 0.840126401207934),          PROX_MRT = c(0.305306521480229, 0.226103982865864, 0.649340944892975,          0.132116935816272, 0.225262429159589, 0.404028215814371,          0.31120761671675, 0.407218977151475, 0.409658939160285,          0.275254866694397, 0.491479629856663, 0.314337158810329,          0.314337158810329, 0.586728793826683, 0.586728793826683,          0.675587286197546, 0.107293182941521, 0.707952731476156,          0.804865461788644, 0.726942522279936), PROX_PARK = c(0.990750186553446,          0.97332058707081, 0.711925115709351, 0.742212481577902,          0.921128796109604, 0.407986988455317, 0.273246118986377,          0.377410917604964, 0.380160428577633, 1.60860995669454,          1.77379186206272, 1.53366372097489, 1.53366372097489,          1.65596921250538, 1.65596921250538, 1.05249384295472,          0.242854512033048, 0.511064020035708, 0.908868407872405,          0.618444971248099), PROX_GOOD_PRISCH = c(2.01228232098645,          2.41026804261554, 1.64363723354824, 2.39901634170637,          2.45094763896652, 1.86607127862969, 1.9155109693321,          2.0639866413545, 2.07008813823767, 2.96671225712824,          2.79995758206102, 3.0451226436528, 3.0451226436528, 2.86977258716747,          2.86977258716747, 3.52335384407219, 0.280669099407447,          2.82520953766913, 3.66355651606602, 2.78644315018514),          PROX_MALL = c(0.848644658978131, 1.14826594162738, 0.58741271025502,          0.965908348364742, 1.15586968043917, 0.26702131219094,          0.191774654856939, 0.352244010010256, 0.395390786334096,          0.696065710972082, 0.970860317849455, 0.63262312230698,          0.63262312230698, 0.992224857230604, 0.992224857230604,          0.184401966361696, 1.58703862644467, 0.535655644340599,          0.209686974260184, 0.66906173274608), PROX_CHAS = c(0.262677718190406,          0.157172829578474, 0.142011209366223, 0.0879111496245458,          0.103484302768675, 0.144966662256637, 0.19177461752976,          0.180332756228222, 0.278446199404133, 0.22404402777184,          0.0639130956899198, 0.278004299073392, 0.278004299073392,          0.156405874770629, 0.156405874770629, 0.131272369045618,          0.370138139733765, 0.102679570293108, 0.176171654931402,          0.195243012850588), PROX_SUPERMARKET = c(0.3581952061826,          0.212384620357781, 0.585686837888717, 0.0879117778441782,          0.198926203527595, 0.26343506825427, 0.113049768890948,          0.0762755382886037, 0.0888694671696128, 0.224044642536509,          0.0639125072278545, 0.278004958714438, 0.278004958714438,          0.156405662038775, 0.156405662038775, 0.182486832055582,          0.644143855185467, 0.158953339299884, 0.176171398022836,          0.169510705521186), WITHIN_350M_KINDERGARTEN = c(1L,          3L, 1L, 2L, 3L, 1L, 1L, 1L, 0L, 5L, 2L, 5L, 5L, 0L, 0L,          1L, 1L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(1L, 3L,          2L, 3L, 3L, 5L, 4L, 5L, 3L, 4L, 4L, 5L, 5L, 3L, 3L, 1L,          2L, 1L, 1L, 0L), WITHIN_350M_BUS = c(8L, 10L, 5L, 5L,          9L, 3L, 8L, 7L, 10L, 9L, 7L, 8L, 8L, 7L, 7L, 8L, 5L,          5L, 7L, 7L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L,          1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,          1L), DNeighbour = c(0, 398.171271763626, 399.62785069676,          434.224624581794, 435.449026077256, 601.632490183822,          833.748345066461, 974.961910996476, 1076.06579390791,          1428.91857800412, 1450.00129581718, 1490.55527590065,          1492.77994644524, 1563.40097565591, 1568.1842268398,          1683.0485815852, 1779.90693701206, 1892.78499440295,          1981.92664240268, 2004.35484411425)), row.names = c("413",      "379", "18", "562", "832", "81", "834", "978", "221", "916",      "854", "982", "39", "333", "768", "130", "226", "338", "216",      "904"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.922631236365443,      0.922075643020238, 0.908336426113774, 0.907831271980771,      0.827922331973769, 0.683879814518401, 0.582770128740967,      0.506626688428017, 0.241831462068605, 0.227200584812157,      0.199784160236747, 0.198310064357285, 0.153348001496917,      0.150441739380298, 0.0869723591113087, 0.0446987134845039,      0.0117135149251378, 0.000495252175463703, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8404420591 
R squared (OOB):                  0.6324894 

$Forests[[414]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 338000, 330000,      332000, 330000, 320000, 330000, 310000, 350000, 4e+05, 375000,      385000, 368000, 370000, 342000, 4e+05, 365000, 390000, 3e+05,      450000), floor_area_sqm = c(104, 103, 104, 104, 105, 107,      105, 104, 107, 100, 100, 90, 100, 92, 105, 90, 91, 91, 94,      93), storey_order = c(3L, 4L, 3L, 3L, 1L, 1L, 1L, 2L, 3L,      5L, 5L, 3L, 2L, 3L, 4L, 3L, 4L, 2L, 2L, 4L), remaining_lease_mths = c(838,      836, 847, 838, 909, 909, 896, 840, 910, 923, 935, 1060, 937,      922, 822, 953, 1061, 956, 817, 950), PROX_CBD = c(18.2872060948971,      18.1853470145009, 18.238428451998, 18.3394484051955, 18.4634083712346,      18.5552891680356, 17.9794873864528, 18.6954685875173, 18.8361111070307,      18.2155576397088, 18.2155576397088, 17.6242343596777, 18.1853912561079,      18.2744201988815, 18.4174433264455, 17.5759295796121, 17.5974072281911,      17.980006840849, 18.4835571341017, 17.4336546583772), PROX_ELDERLYCARE = c(1.57361264937598,      1.46334015610348, 1.49823830734066, 1.68689945441126, 1.70649895251479,      1.77696496808422, 1.20397588034421, 1.96536267509963, 2.10089317294022,      1.82774218733134, 1.82774218733134, 0.892136309268664, 1.83831888483507,      1.91030467455468, 2.01990466694452, 1.07156662032258, 0.819477307137174,      1.69038013517483, 2.12772209584432, 0.825709875044437), PROX_HAWKER = c(0.464971900021808,      0.490406092071559, 0.548143788898404, 0.322806547864559,      0.656056303664779, 0.788681622626877, 0.736691454978467,      0.696312293428963, 0.811063273063077, 0.218122417644225,      0.218122417644225, 0.816419857336687, 0.267411626133086,      0.292675997882175, 0.365194571711665, 0.622851592932912,      0.922900854400271, 0.32947027962251, 0.47819209562201, 0.841716009165303     ), PROX_MRT = c(0.870907467758581, 0.888080533877704, 0.950317003394984,      0.722989849955079, 1.05945750202888, 1.18994045686449, 1.05284557964442,      1.06426899086337, 1.15964764660018, 0.24629140143503, 0.24629140143503,      0.729175757939742, 0.186589372260449, 0.25859759791353, 0.394110762668951,      0.449846795062068, 0.830609903675807, 0.131298797620671,      0.440067919828323, 0.463093751675267), PROX_PARK = c(0.791043930625847,      0.741201414908801, 0.690805332809177, 0.845903786092674,      0.707700114575514, 0.662341635279621, 0.555889077383573,      0.939968281858902, 0.99599902820202, 0.449638685926872, 0.449638685926872,      0.830497330619545, 0.431621232177097, 0.366705585759005,      0.305293053539538, 0.650211227804106, 0.751240825934154,      0.597192139646456, 0.199823808978303, 0.609424449579261),          PROX_GOOD_PRISCH = c(7.62743554697163, 7.52724739525134,          7.58243576478886, 7.67457853159282, 7.80883552790736,          7.9054148179446, 7.33264137396139, 8.03533881462458,          8.17598486214089, 7.54917724573578, 7.54917724573578,          6.97273607492461, 7.51998659904145, 7.60907430161507,          7.75189187586876, 6.90999703096039, 6.95474206477502,          7.31481473864251, 7.82005706650481, 6.77374769998522),          PROX_MALL = c(0.369641594977131, 0.362005799982455, 0.291730094824992,          0.270650184250749, 0.25445476080495, 0.238299753757691,          0.387548928263219, 0.50227152913363, 0.605524804958104,          0.249434383428027, 0.249434383428027, 0.671391539314818,          0.304347432784639, 0.31638525459609, 0.368677515727611,          0.456006423255308, 0.757845794253982, 0.38257003715367,          0.482762920255867, 0.404491618549369), PROX_CHAS = c(0.000458346083760352,          0.11010335009361, 0.0811018368302058, 0.186439783883369,          0.163921847201363, 0.177138384703249, 0.324283073315245,          0.387978032092424, 0.526621492045347, 0.246283235408848,          0.246283235408848, 0.0497500971788425, 0.186582621643492,          0.258594927218762, 0.279695275413424, 0.401255348981324,          0.175468897673469, 0.131281394661179, 0.297885151722028,          0.260153188296123), PROX_SUPERMARKET = c(0.367596841627256,          0.36017462873485, 0.289827711639516, 0.279112228601587,          0.25256410508494, 0.237159648524433, 0.337417678694655,          0.500728516827066, 0.596975645906049, 0.233030240431279,          0.233030240431279, 0.442456788826315, 0.289364184128333,          0.297968471640837, 0.3481604922123, 0.338457664260807,          0.336744227428862, 0.37748716441855, 0.402675729717655,          0.355873580059747), WITHIN_350M_KINDERGARTEN = c(6L,          7L, 4L, 4L, 4L, 3L, 2L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L,          1L, 1L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          3L, 4L, 3L, 3L, 3L, 3L, 3L, 7L, 7L, 2L, 7L, 7L, 7L, 5L,          3L, 5L, 9L, 4L), WITHIN_350M_BUS = c(9L, 11L, 10L, 11L,          12L, 10L, 9L, 8L, 4L, 15L, 15L, 12L, 16L, 17L, 14L, 8L,          6L, 14L, 12L, 12L), WITHIN_1KM_PRISCH = c(5L, 5L, 4L,          6L, 4L, 4L, 5L, 5L, 4L, 6L, 6L, 4L, 4L, 5L, 5L, 4L, 4L,          3L, 5L, 6L), DNeighbour = c(0, 109.12163346084, 109.444743000547,          183.026876795437, 229.402390943997, 361.716013520402,          407.418607358402, 415.331371014829, 549.314457190583,          658.403217967911, 665.510445479178, 685.328129570606,          716.644643989355, 723.493371206606, 723.660435612791,          746.977799622463, 759.895452421026, 781.049072414214,          832.137807235421, 852.662751570985)), row.names = c("414",      "857", "839", "693", "748", "169", "870", "817", "906", "643",      "571", "300", "31", "835", "257", "357", "720", "910", "774",      "535"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.967511773915674,      0.967320693916445, 0.909970919736397, 0.860471839712268,      0.672462268442266, 0.595503668519756, 0.58176367139668, 0.342180972847633,      0.163013048108521, 0.152729820051269, 0.125305452674048,      0.0861986241649057, 0.0784166805019967, 0.0782305488121671,      0.0540706951941797, 0.0423361594498708, 0.0258960611347957,      0.0022623083916196, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1147929425 
R squared (OOB):                  0.2004817 

$Forests[[415]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(468000, 420000, 365000,      450000, 425000, 408000, 4e+05, 385000, 405000, 422500, 412000,      428888, 415000, 425000, 362500, 520000, 415000, 553000, 425000,      415000), floor_area_sqm = c(106, 106, 84, 106, 104, 105,      107, 84, 106, 104, 104, 84, 84, 104, 103, 93, 108, 93, 104,      103), storey_order = c(5L, 3L, 4L, 2L, 2L, 1L, 1L, 2L, 2L,      3L, 2L, 3L, 3L, 4L, 3L, 3L, 2L, 4L, 3L, 2L), remaining_lease_mths = c(863,      874, 787, 919, 801, 797, 912, 815, 778, 765, 878, 774, 782,      775, 819, 1133, 891, 1134, 871, 768), PROX_CBD = c(13.629257933267,      13.629257933267, 13.5012180894848, 13.6245617307962, 13.9224032790502,      13.8987191813532, 13.6047453762483, 13.8115996810708, 13.2146489403719,      13.4875816574924, 14.1313829663274, 12.8776183162857, 12.8776183162857,      13.5598735525989, 14.3801998083441, 13.7835124985007, 13.8459786715751,      13.8021184722805, 14.0236082538335, 13.0537205387581), PROX_ELDERLYCARE = c(0.207468408301612,      0.207468408301612, 0.126566715598502, 0.120631950903102,      0.160860892679658, 0.166628987045545, 0.271914041498034,      0.244605555667631, 0.392334185262972, 0.428841001075194,      0.836104821253693, 0.211786543917104, 0.211786543917104,      0.555470204987842, 0.709377020411434, 1.04590518035641, 0.429452782693922,      1.08391670289184, 1.09340394122649, 0.569472877275307), PROX_HAWKER = c(1.4012681206183,      1.4012681206183, 1.32455892398921, 1.48009929412898, 1.57003684649171,      1.60647998640073, 1.50728197565297, 1.71143518366979, 1.1504484389926,      1.41347495302278, 0.73352935155883, 0.677647820815747, 0.677647820815747,      1.44869421276883, 0.928921275219278, 0.817574416707151, 1.71981564227335,      0.792084042786722, 0.594999289424802, 0.963287544217337),          PROX_MRT = c(0.681065013996815, 0.681065013996815, 0.54422435083218,          0.357520644011877, 0.375491068655226, 0.337555536848429,          0.222008379422339, 0.198072339225813, 0.530339592860526,          0.229256973107587, 0.735653331318593, 0.301948361527339,          0.301948361527339, 0.172867375742438, 1.02650412956774,          0.648112836468654, 0.2084775132707, 0.615458599020507,          0.469886084443941, 0.551410176707671), PROX_PARK = c(0.403276931712581,          0.403276931712581, 0.593866981909781, 0.731000545087102,          0.819174175884815, 0.83983547285748, 0.882483872449952,          0.925135888784, 0.763919329225246, 1.00267286051928,          0.463826523913091, 0.246982674114576, 0.246982674114576,          1.16233583500127, 0.71485218383349, 0.438074957540257,          1.1446906726086, 0.476945111703218, 0.504422356794811,          0.974634241933185), PROX_GOOD_PRISCH = c(1.96779323327463,          1.96779323327463, 1.8351788996921, 1.96554365084008,          2.26578798898653, 2.24487256678893, 1.96272742295518,          2.17137072991142, 1.57814209766337, 1.87202126825599,          2.52734391167264, 1.22334421357001, 1.22334421357001,          1.97663004084467, 2.72778429145315, 2.3007469286795,          2.27101821651052, 2.33081910479479, 2.51794344218072,          1.48818847749708), PROX_MALL = c(1.12429495075828, 1.12429495075828,          0.956400108312903, 1.05956757611768, 1.34118728457461,          1.33259876169033, 1.0427530371351, 1.25122768833936,          0.655287065425073, 0.948424723316687, 0.66282583229379,          0.503182159926002, 0.503182159926002, 1.05810160080284,          0.949257633150117, 0.615576551193732, 1.35153556565047,          0.585717052475653, 0.418819234777705, 0.593340478429386         ), PROX_CHAS = c(0.260044927245007, 0.260044927245007,          0.0648495538885981, 2.17172157220984e-06, 0.0806372798138111,          0.0582471476749484, 0.15212794302602, 0.130123043615932,          0.358071114142678, 0.231037598077535, 0.528800676490504,          0.128785172156574, 0.128785172156574, 0.180657994610612,          0.453083161817035, 0.253975316505048, 0.345234103044859,          0.221659659627321, 0.151261605672147, 0.203693673714882         ), PROX_SUPERMARKET = c(0.288903462518554, 0.288903462518554,          0.329742543966106, 0.237807435452358, 0.189550835904173,          0.2065347950197, 0.353624023725788, 0.30366394922488,          0.384538867225359, 0.231037826802092, 0.528799775767506,          0.17067511852319, 0.17067511852319, 0.180658044884504,          0.513065398645433, 0.253974877653299, 0.426625283183798,          0.221659301316653, 0.151260689076964, 0.349948262987797         ), WITHIN_350M_KINDERGARTEN = c(3L, 3L, 1L, 3L, 3L, 2L,          0L, 0L, 2L, 2L, 0L, 0L, 0L, 2L, 0L, 0L, 1L, 0L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 5L, 5L, 3L, 3L,          6L, 3L, 3L, 2L, 3L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 4L, 2L         ), WITHIN_350M_BUS = c(6L, 6L, 7L, 10L, 9L, 9L, 12L,          10L, 9L, 10L, 6L, 12L, 12L, 11L, 2L, 6L, 12L, 5L, 12L,          8L), WITHIN_1KM_PRISCH = c(2L, 2L, 4L, 4L, 3L, 4L, 5L,          5L, 6L, 5L, 2L, 4L, 4L, 6L, 3L, 2L, 5L, 2L, 2L, 6L),          DNeighbour = c(0, 3.7869832373926, 209.519626951605,          325.561296871061, 479.9000617295, 480.109921763395, 481.651692358274,          544.49022492374, 631.466973836983, 632.97327902097, 678.86271995094,          747.899275117584, 751.368880537751, 762.596725668649,          765.653806489523, 836.642969703596, 871.265559037546,          876.821468976266, 894.651109620987, 927.594923084945)), row.names = c("415",      "503", "264", "656", "219", "531", "955", "235", "511", "663",      "695", "892", "259", "564", "3", "380", "970", "275", "51",      "541"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999966665310367,      0.900564769713718, 0.768809027899115, 0.536320601004605,      0.535977705679228, 0.533457346856161, 0.429603059970761,      0.287906892079185, 0.285536316344868, 0.215659770919047,      0.122441184657738, 0.118246798687314, 0.105050191961499,      0.10155991384554, 0.0347780238729291, 0.0138685547919505,      0.0113374006489819, 0.00486775055755249, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2217576458 
R squared (OOB):                  -0.08595909 

$Forests[[416]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(297000, 315000, 314000,      335000, 320000, 330000, 325000, 375000, 392000, 335000, 3e+05,      343000, 388000, 363000, 417000, 340888, 355000, 335000, 333000,      491000), floor_area_sqm = c(90, 90, 91, 90, 91, 91, 90, 108,      113, 105, 106, 107, 104, 104, 92, 107, 104, 114, 108, 92),          storey_order = c(2L, 5L, 3L, 3L, 8L, 1L, 5L, 2L, 2L,          2L, 2L, 2L, 6L, 5L, 2L, 4L, 4L, 3L, 4L, 9L), remaining_lease_mths = c(995,          1001, 985, 979, 995, 987, 992, 909, 933, 938, 941, 907,          904, 918, 1120, 883, 882, 904, 895, 1137), PROX_CBD = c(16.901501451739,          16.8082045368238, 17.0716695500607, 17.0600275230943,          16.7093180086981, 17.2817356498826, 17.2610384590751,          16.9875722318911, 16.6579104452557, 17.3741762112269,          17.3741762112269, 17.2160129653012, 16.3777502460772,          16.295166477654, 16.7161737209409, 16.7669966667855,          16.7669966667855, 16.3642048862006, 16.5397910410307,          15.0782917837809), PROX_ELDERLYCARE = c(1.16689850532437,          1.15380285023885, 1.21621641692937, 1.09431476347566,          0.935779967581661, 1.19353475005496, 1.12094638660826,          0.636322412867891, 0.409372351007212, 0.815153211361198,          0.815153211361198, 0.574386357445605, 0.465083314136851,          0.514795208711411, 9.26628957858198e-07, 0.121542639162494,          0.121542639162494, 0.361422596457277, 0.706939892416911,          0.811417024562957), PROX_HAWKER = c(2.0413146444202,          1.94950915107796, 2.2102134433082, 2.18272534115171,          1.82495077083007, 2.40388099430384, 2.37726799660773,          2.10596394293278, 1.80129318596364, 2.50067722531469,          2.50067722531469, 2.37357884684332, 1.54627052523026,          1.47281657351752, 1.96687058888139, 2.05474291859885,          2.05474291859885, 1.67761333691466, 2.14655926815246,          0.241120378832392), PROX_MRT = c(0.740013435080822, 0.730447684580082,          0.793158171270894, 0.673816738147829, 0.522077155701705,          0.797812759521718, 0.729621307242001, 0.252669932820992,          0.128609360773056, 0.590831178240684, 0.590831178240684,          0.453815632281196, 0.419412974707088, 0.504795745143921,          0.427108887982576, 0.53300655679357, 0.53300655679357,          0.653367521351592, 0.460645764817668, 0.604690005035212         ), PROX_PARK = c(1.46267930314228, 1.39545287332227,          1.59669720594139, 1.5130077643247, 1.17885821480356,          1.70244245234235, 1.64853798443183, 1.18807543108152,          0.826869373992433, 1.47164498360674, 1.47164498360674,          1.24959985284921, 0.571339732684777, 0.48638578612152,          0.688779163701323, 0.722711239268322, 0.722711239268322,          0.32735774848914, 0.711243459523284, 0.889047622652367         ), PROX_GOOD_PRISCH = c(7.66085245964853, 7.5739079893598,          7.82238149093771, 7.76907239486735, 7.40748446052123,          7.98012169831377, 7.93716312588154, 7.55033959010056,          7.18541951227303, 7.888904100652, 7.888904100652, 7.68034428555912,          6.89348817522951, 6.80828229467371, 7.12110535783693,          7.13952904562396, 7.13952904562396, 6.76031366250815,          6.77397603493671, 5.77803713337603), PROX_MALL = c(0.678684538412688,          0.677813655888015, 0.719585865775528, 0.597930181439745,          0.484270435079706, 0.713200150273906, 0.644198936007264,          0.165557901737932, 0.168053149288668, 0.521008948961951,          0.521008948961951, 0.413606644895247, 0.427317836890542,          0.510483215269896, 0.337595745740984, 0.27529824968273,          0.27529824968273, 0.388175183991252, 0.345326846187852,          0.79347213158724), PROX_CHAS = c(0.720584477651296, 0.71936188995133,          0.760340467100735, 0.638199243310692, 0.52365796939069,          0.748586514709626, 0.678651577140463, 0.194474796894964,          0.170995488718356, 0.524369302913132, 0.524369302913132,          0.303266380929536, 0.429996386722335, 0.513107963149175,          0.279591917356114, 0.222759343861358, 0.222759343861358,          0.380772978950647, 0.286223989121013, 0.128222338920945         ), PROX_SUPERMARKET = c(0.780695486504835, 0.768274584157999,          0.837223205851576, 0.718466194952364, 0.555366708418936,          0.842475689687135, 0.771245719522698, 0.284398337107734,          0.103652200866821, 0.559408220033625, 0.559408220033625,          0.387759857324111, 0.386156989530241, 0.471223408024363,          0.344537051235884, 0.243987988302975, 0.243987988302975,          0.422789252098693, 0.377165028023417, 0.286089695736963         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 0L,          0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 2L, 2L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 2L, 1L, 3L,          3L, 4L, 5L, 4L, 4L, 5L, 3L, 3L, 6L, 5L, 5L, 4L, 1L, 3L         ), WITHIN_350M_BUS = c(7L, 9L, 5L, 7L, 8L, 5L, 5L, 11L,          9L, 2L, 2L, 5L, 8L, 7L, 12L, 11L, 11L, 6L, 2L, 10L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L, 2L, 2L, 4L,          4L, 4L, 4L, 4L, 4L, 3L, 4L, 3L, 3L, 3L, 3L, 4L), DNeighbour = c(0,          97.980414103451, 163.232225641485, 194.564550849371,          287.528069591672, 396.077279133145, 402.242982086157,          585.723359102, 786.778447005262, 834.62853342777, 837.302647086081,          937.414922525341, 978.956794898587, 1038.60057109448,          1165.69131393274, 1273.18558913797, 1276.99698052762,          1336.28204719694, 1868.86600800687, 1901.13266803121)), row.names = c("416",      "121", "431", "208", "156", "127", "525", "125", "918", "822",      "813", "326", "820", "451", "261", "673", "898", "252", "498",      "568"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994694741775679,      0.985310291499715, 0.97916218134806, 0.954775885697019, 0.915074902249325,      0.912471244090943, 0.819168813353926, 0.686794222235814,      0.651676050573109, 0.649680391212534, 0.572851920540299,      0.539995038296599, 0.492171745170267, 0.389425240246318,      0.304156655885725, 0.301197631906672, 0.255984810028712,      0.00113276735164276, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1662482528 
R squared (OOB):                  0.1951755 

$Forests[[417]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(470000, 515000, 330000,      550000, 310000, 315000, 518000, 582000, 515000, 630000, 638000,      680000, 450000, 838000, 520000, 650000, 545000, 680000, 440000,      815000), floor_area_sqm = c(84, 103, 82, 105, 82, 87, 84,      104, 110, 101, 105, 76, 104, 91, 108, 86, 86, 86, 93, 91),          storey_order = c(3L, 3L, 4L, 2L, 5L, 1L, 3L, 3L, 1L,          2L, 3L, 11L, 1L, 12L, 1L, 3L, 1L, 3L, 3L, 11L), remaining_lease_mths = c(813,          823, 657, 786, 656, 633, 781, 935, 859, 952, 918, 1071,          828, 1106, 860, 1018, 1025, 1025, 759, 1109), PROX_CBD = c(6.30150758144434,          6.41432963568309, 6.06674643703895, 6.4090346428634,          5.9699685911294, 5.88382015009973, 6.59778313634683,          5.4901102241405, 5.31333197008925, 5.76616775136128,          5.24252163748666, 5.17664618337401, 5.12061996426338,          5.38577040159704, 7.50210394472385, 5.26278746968545,          5.19905620756448, 5.19905620756448, 5.4791067318598,          5.46273996086224), PROX_ELDERLYCARE = c(0.0580157957368266,          0.101150617829923, 0.10409496222889, 0.336883008423279,          4.28110190953706e-07, 0.599695566252105, 0.619464736019043,          0.157919913507301, 0.301885421229742, 0.708186986363007,          0.232760622048558, 0.203403853153192, 0.279354008399566,          0.343873602324804, 0.808331791227546, 0.310343810032976,          0.3148233892717, 0.3148233892717, 0.505585511375112,          0.323825203617813), PROX_HAWKER = c(0.511576723994062,          0.639366917684312, 0.346985863757343, 0.729024203622067,          0.247906315943116, 0.302293625820731, 1.00589931737343,          0.258924665495, 0.15027253820603, 0.25612232537118, 0.316098981667774,          0.242990200436355, 0.158729667464322, 0.225377370173431,          0.932792437987216, 0.356302899600742, 0.424686940189847,          0.424686940189847, 0.736115689949186, 0.17988889362956         ), PROX_MRT = c(0.911216039334219, 0.753240517287136,          1.1005845300218, 0.631935879685516, 1.03854772657135,          0.37771060533367, 0.372865816575034, 1.30755754576723,          0.839256513816073, 0.0934691468297738, 0.353807427048722,          0.347215067697513, 1.12797954219589, 0.452916639575337,          0.506174946521629, 0.321982757522174, 0.253583166891469,          0.253583166891469, 0.797555156120123, 0.495510769155532         ), PROX_PARK = c(0.950460734805334, 0.941128983241434,          0.741200181243785, 0.73120409495038, 0.792968228054446,          1.09766236241216, 0.432673847047101, 0.803347187860442,          0.919693677764514, 1.02675087524374, 0.540897442657821,          0.502895249788983, 1.12857946410316, 0.680409922157526,          0.621272392201987, 0.550000337404237, 0.482110245392283,          0.482110245392283, 0.728040918615253, 0.816564732509704         ), PROX_GOOD_PRISCH = c(1.50990256016426, 1.35156641752108,          1.85819018299306, 1.19038460547274, 1.89588922913119,          1.61186682958131, 0.909917905905181, 2.45379201830723,          2.32631552336422, 1.65694818911091, 2.20280244575696,          2.27859573799937, 2.70116277997296, 2.04281306492033,          0.343243332218702, 2.16237499594262, 2.22494939608982,          2.22494939608982, 2.93310132502147, 1.99475835919692),          PROX_MALL = c(0.872189526609738, 0.713954983197348, 1.22044581333525,          0.56447134405004, 1.25835483053691, 0.966526596905427,          0.324462922438517, 1.21674302842157, 0.752077094160308,          0.834887080030876, 0.315823950773482, 0.285366785950761,          1.02774547618649, 0.513452616263142, 0.584674138925751,          0.38523327442887, 0.31885342913617, 0.31885342913617,          0.719613179783111, 0.68208602871978), PROX_CHAS = c(0.0940735950578242,          0.15014885052256, 0.252393584019624, 0.141339892509329,          0.21461630683628, 0.256579842259861, 0.0558741615176373,          0.233242749827373, 0.111194343620761, 0.143086854941205,          0.0731998871787336, 0.0737889624358689, 0.193072984237221,          0.180097972613039, 0.169910439255117, 0.188692357663819,          0.211748617283041, 0.211748617283041, 0.0706483510319072,          0.185272865297861), PROX_SUPERMARKET = c(0.469210677159174,          0.519047869620273, 0.321431524942613, 0.360911693423373,          0.227231659318009, 0.27867057765081, 0.173430033183904,          0.37596142908425, 0.370675298005651, 0.318319510093507,          0.266280670019211, 0.177322353300672, 0.198191070641627,          0.397689630461078, 0.26407208892283, 0.267150206458008,          0.199301193911681, 0.199301193911681, 0.0706487501399716,          0.544212695479659), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 2L, 3L, 1L, 1L, 4L, 2L,          4L, 4L, 4L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          2L, 5L, 2L, 4L, 3L, 3L, 3L, 1L, 5L, 7L, 4L, 7L, 3L, 5L,          6L, 6L, 2L, 4L), WITHIN_350M_BUS = c(7L, 7L, 6L, 9L,          8L, 8L, 7L, 10L, 12L, 8L, 10L, 9L, 9L, 8L, 4L, 9L, 9L,          9L, 3L, 8L), WITHIN_1KM_PRISCH = c(4L, 3L, 5L, 3L, 4L,          4L, 2L, 3L, 3L, 4L, 4L, 4L, 3L, 3L, 1L, 3L, 3L, 3L, 2L,          3L), DNeighbour = c(0, 152.88616750335, 348.616305498925,          379.755203909047, 395.411327224505, 622.413479657147,          672.884370632996, 969.412078122819, 983.353058422762,          1054.48476195033, 1195.44606553843, 1226.93900115129,          1272.03492489403, 1349.56524012813, 1389.80228064259,          1395.5430729942, 1421.78806367209, 1425.75316114992,          1427.75139172425, 1472.73323203319)), row.names = c("417",      "114", "628", "269", "920", "201", "957", "307", "279", "430",      "472", "897", "646", "116", "460", "199", "533", "181", "802",      "75"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.97856261838492,      0.89107288265206, 0.871440073643245, 0.861024665073502, 0.674678805746094,      0.626071828066027, 0.321171516945104, 0.30710270115164, 0.23749681257635,      0.116357186928712, 0.093598546144659, 0.0645063405459029,      0.0256865191687355, 0.0119795006362212, 0.01042004261116,      0.00462235349323854, 0.00394160881355288, 0.00361842209744699,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       17276612599 
R squared (OOB):                  0.1919999 

$Forests[[418]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 359900, 370000,      245000, 3e+05, 270000, 279000, 255000, 250000, 305000, 316000,      318000, 375000, 265000, 298000, 303888, 275000, 297000, 325000,      330000), floor_area_sqm = c(93, 93, 93, 88, 96, 97, 91, 91,      97, 91, 92, 91, 92, 91, 93, 93, 98, 91, 91, 103), storey_order = c(3L,      3L, 5L, 2L, 4L, 2L, 2L, 4L, 4L, 4L, 3L, 1L, 4L, 2L, 1L, 2L,      4L, 3L, 4L, 2L), remaining_lease_mths = c(1111, 1117, 1106,      668, 791, 687, 801, 686, 708, 791, 781, 765, 783, 724, 777,      782, 689, 788, 780, 773), PROX_CBD = c(18.8127816342995,      18.8127816342995, 18.8127816342995, 18.8842060529579, 18.5761736305699,      19.1998859465191, 18.2989051402725, 19.1428796063974, 19.2477081153014,      18.2610111258248, 18.2234963781047, 18.2234963781047, 18.1857629477019,      19.4237844042343, 18.5252470382495, 18.5252470382495, 19.3611499271018,      18.1476771148045, 18.1476771148045, 18.4499801912104), PROX_ELDERLYCARE = c(0.176499517448139,      0.176499517448139, 0.176499517448139, 0.229103995883471,      0.0638277150498875, 0.482976337773198, 0.397078044127006,      0.457204003422965, 0.533620939869422, 0.421521882373529,      0.448333702611612, 0.448333702611612, 0.47723779098819, 0.695760303539868,      0.449194476018676, 0.449194476018676, 0.67405856369397, 0.519546459890619,      0.519546459890619, 0.504778052376495), PROX_HAWKER = c(0.325560722493799,      0.325560722493799, 0.325560722493799, 0.280513302960552,      0.562029876499453, 0.407382567332432, 0.491047773869601,      0.491246203286744, 0.435575948420033, 0.453171307776496,      0.416527045274471, 0.416527045274471, 0.380157991945912,      0.430278742731878, 0.69553534809229, 0.69553534809229, 0.578426076793613,      0.209390724873544, 0.209390724873544, 0.652207052169444),          PROX_MRT = c(1.04083770509984, 1.04083770509984, 1.04083770509984,          1.03601464731326, 0.874368880716004, 1.13705578024219,          0.552168886353884, 1.0490560030484, 1.17336842789895,          0.547550551918807, 0.545975779093886, 0.545975779093886,          0.548087095608087, 1.37619150821735, 0.398456142880405,          0.398456142880405, 1.24242318119045, 0.491311596778589,          0.491311596778589, 0.322534237265928), PROX_PARK = c(0.51923222906617,          0.51923222906617, 0.51923222906617, 0.579556587207627,          0.287868908027907, 0.708199402424467, 0.287159802467115,          0.602588748705797, 0.715290586226954, 0.272660801967067,          0.264257474455249, 0.264257474455249, 0.261695126667213,          0.899998771522662, 0.491317901173298, 0.491317901173298,          0.694921724836528, 0.270911567278729, 0.270911567278729,          0.536975621309476), PROX_GOOD_PRISCH = c(9.7422556358987,          9.7422556358987, 9.7422556358987, 9.83133063879426, 9.51590189269927,          10.205087741046, 9.19982386356694, 10.1724586401982,          10.2559210914134, 9.16752282736586, 9.1355701416359,          9.1355701416359, 9.10363750169146, 10.4013344251086,          9.63394268044443, 9.63394268044443, 10.393420977377,          9.18618174729203, 9.18618174729203, 9.56762880935522),          PROX_MALL = c(0.856774663098642, 0.856774663098642, 0.856774663098642,          0.91348864249693, 0.624506085881379, 1.23204265332191,          0.486326630506135, 1.19002137667581, 1.28177138580973,          0.448092738738542, 0.411037179701155, 0.411037179701155,          0.374195605351922, 1.44800971701603, 0.705200807731176,          0.705200807731176, 1.41164243574585, 0.218975149940797,          0.218975149940797, 0.662291407978718), PROX_CHAS = c(0.2593611752042,          0.2593611752042, 0.2593611752042, 0.241229981070425,          0.0792988689034794, 0.377747950290313, 0.0660681856594747,          0.472048134528426, 0.34509608786971, 0.0964740211655948,          0.132763801624598, 0.132763801624598, 0.172021358032342,          0.141128343720225, 0.240425442805127, 0.240425442805127,          0.346579909600863, 0.218975205360203, 0.218975205360203,          0.201478871858691), PROX_SUPERMARKET = c(0.856773769273042,          0.856773769273042, 0.856773769273042, 0.911876453557648,          0.625539331690589, 1.12464344461301, 0.490326509583637,          1.03656246660954, 1.16090501353567, 0.457654559995222,          0.421116980529575, 0.421116980529575, 0.38486207983901,          1.36375821567757, 0.386130046709882, 0.386130046709882,          1.22987785443232, 0.206881250620068, 0.206881250620068,          0.310351384739933), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 2L, 0L, 2L, 2L, 0L, 0L, 0L, 0L, 1L, 0L,          0L, 2L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 0L, 1L, 1L,          2L, 3L, 3L, 2L), WITHIN_350M_BUS = c(16L, 16L, 16L, 13L,          10L, 10L, 6L, 6L, 9L, 6L, 6L, 6L, 4L, 6L, 8L, 8L, 8L,          7L, 7L, 9L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 2L,          1L, 4L, 1L, 0L, 4L, 4L, 4L, 4L, 0L, 2L, 2L, 0L, 3L, 3L,          2L), DNeighbour = c(0, 3.46818879020779, 5.16076826546253,          111.301471234943, 234.345203254666, 529.385816181755,          542.564152995292, 555.208610863009, 569.228321243612,          574.280721715033, 604.117975742903, 606.602426189841,          642.534075912482, 673.170375642963, 704.921978971857,          709.174206779497, 732.231897873666, 742.49932057028,          747.848462978663, 759.879812676594)), row.names = c("418",      "604", "637", "96", "78", "193", "433", "484", "981", "905",      "202", "47", "733", "2", "11", "106", "972", "827", "944",      "810"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999958337903686,      0.999907751591509, 0.957551914476799, 0.818827441436678,      0.264864905222836, 0.240281598805559, 0.217292011876744,      0.192584538741406, 0.183902757391079, 0.135384774177065,      0.131578377835134, 0.081228309010832, 0.0463101199838288,      0.019437361340415, 0.0166420896347982, 0.00510443660931868,      0.00204504842203923, 0.000986950181357322, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       648677964 
R squared (OOB):                  0.5838421 

$Forests[[419]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 333000, 420000,      410000, 432000, 305000, 415000, 365000, 388000, 360000, 323000,      375000, 319000, 313000, 371000, 310000, 280000, 325000, 310500,      349000), floor_area_sqm = c(100, 99, 92, 92, 92, 99, 92,      92, 92, 99, 101, 102, 101, 99, 100, 89, 90, 91, 92, 103),          storey_order = c(4L, 3L, 1L, 2L, 4L, 4L, 2L, 1L, 1L,          3L, 1L, 3L, 4L, 4L, 2L, 1L, 3L, 2L, 4L, 2L), remaining_lease_mths = c(927,          927, 1121, 1136, 1123, 930, 1125, 1135, 1134, 915, 937,          932, 950, 918, 918, 946, 958, 970, 932, 832), PROX_CBD = c(17.5934100264964,          17.6933534103443, 17.7152334804069, 17.7152334804069,          17.7152334804069, 17.5508688704121, 17.7609329148819,          17.8160591469996, 17.8160591469996, 17.6482187406162,          17.4093430047218, 17.424297644009, 17.1356331652512,          17.8728040148932, 17.9318121245061, 17.0860498579873,          17.0860498579873, 17.7083177660008, 17.1621565450396,          18.0642207733449), PROX_ELDERLYCARE = c(0.183364759720919,          0.174626049595048, 0.0982899037000713, 0.0982899037000713,          0.0982899037000713, 0.169110695114153, 0.0656405943898966,          0.101440000613482, 0.101440000613482, 0.399377154365588,          0.347622879353981, 0.332680427012888, 0.585213362825854,          0.330981516384048, 0.559180828327224, 0.634635376150565,          0.634635376150565, 0.378187975507624, 0.588822776266157,          0.558648465009425), PROX_HAWKER = c(0.860123145519879,          0.89059259132002, 0.815736811633103, 0.815736811633103,          0.815736811633103, 0.736171211400498, 0.769612072642938,          0.755409785256781, 0.755409785256781, 1.11261554439583,          0.646263997619536, 1.2762396177499, 0.905166107754752,          0.446535534086157, 1.18812307179958, 0.984075399620173,          0.984075399620173, 0.340346390827249, 0.776103543372746,          1.20831273824173), PROX_MRT = c(0.675234243169572, 0.606842528225389,          0.674833365376197, 0.674833365376197, 0.674833365376197,          0.804998329325227, 0.714624513867521, 0.729659889526201,          0.729659889526201, 0.417091391951799, 0.722831181419355,          0.484502150769697, 0.689848925621533, 0.4868918768976,          0.256828620430729, 0.610921595420819, 0.610921595420819,          0.403335562748004, 0.827901946736494, 0.387700307898407         ), PROX_PARK = c(1.60355051242194, 1.49905344652453,          1.52614967260321, 1.52614967260321, 1.52614967260321,          1.71737354643835, 1.52091098886828, 1.49250729308795,          1.49250729308795, 1.38656874841243, 1.92330050908574,          1.39102562335911, 2.00545012030434, 1.69875568186822,          1.11695175135574, 1.98249707589613, 1.98249707589613,          1.86766019581863, 2.12305734030611, 1.04306097562022),          PROX_GOOD_PRISCH = c(8.24279341902993, 8.34857469941546,          8.35538963357137, 8.35538963357137, 8.35538963357137,          8.17476856172454, 8.39120163011403, 8.44175881664207,          8.44175881664207, 8.34983568407236, 8.00696366683488,          8.1609833985331, 7.76178719780886, 8.43952013253886,          8.65275846320069, 7.72567604662297, 7.72567604662297,          8.26299778187914, 7.75790588282746, 8.76549326341746),          PROX_MALL = c(0.188384425612312, 0.223321337745784, 0.158599011552442,          0.158599011552442, 0.158599011552442, 0.109574351562212,          0.147411017927622, 0.183177100903513, 0.183177100903513,          0.439097430243665, 0.265229996889848, 0.394560370801339,          0.382407895591973, 0.330972758922268, 0.417130987397582,          0.314944256820634, 0.314944256820634, 0.335143296665789,          0.509108711773916, 0.424594513900518), PROX_CHAS = c(0.151781240761386,          0.21485891447712, 0.158598978424062, 0.158598978424062,          0.158598978424062, 0.048268048492383, 0.14741100268466,          0.183177099178452, 0.183177099178452, 0.414359256629807,          0.23105278557526, 0.265229996652697, 0.257714074421561,          0.330972805611547, 0.259891808560044, 0.250499161266826,          0.250499161266826, 0.30242004444134, 0.242301342816858,          0.124680964632411), PROX_SUPERMARKET = c(0.209139790637019,          0.218378438252518, 0.144345834884574, 0.144345834884574,          0.144345834884574, 0.15801430638391, 0.113022549454425,          0.137568853383185, 0.137568853383185, 0.441697647833666,          0.313773352526138, 0.265230176390619, 0.257714572429151,          0.300218301814749, 0.438907970807184, 0.250499698074938,          0.250499698074938, 0.332189289926598, 0.263452146302603,          0.424593495373258), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(6L, 5L,          6L, 6L, 6L, 7L, 8L, 8L, 8L, 3L, 7L, 2L, 5L, 4L, 3L, 6L,          6L, 6L, 5L, 2L), WITHIN_350M_BUS = c(12L, 13L, 12L, 12L,          12L, 12L, 10L, 15L, 15L, 9L, 13L, 9L, 11L, 8L, 9L, 11L,          11L, 7L, 11L, 7L), WITHIN_1KM_PRISCH = c(8L, 8L, 7L,          7L, 7L, 6L, 6L, 6L, 6L, 7L, 5L, 5L, 4L, 7L, 7L, 4L, 4L,          5L, 4L, 6L), DNeighbour = c(0, 99.80207566103, 119.018375322426,          124.170837758791, 124.424571864548, 139.740404528587,          186.035558779394, 237.794163562305, 238.228647556737,          259.809062247179, 346.718260715521, 428.573737298541,          487.823927814503, 506.855109021594, 510.396314895166,          520.110567770678, 521.577786367663, 524.477559116244,          541.745290724981, 557.597487781852)), row.names = c("419",      "112", "289", "13", "298", "438", "365", "402", "53", "891",      "174", "736", "99", "992", "976", "685", "704", "544", "190",      "773"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.936954413018034,      0.910955172333277, 0.903278409009307, 0.902892819872058,      0.878332257349029, 0.789762569625365, 0.669336903495609,      0.668248886409706, 0.612926813081806, 0.376204994284185,      0.167479147981786, 0.0550403662627187, 0.0301794321142822,      0.0262881371785117, 0.0168841244102781, 0.0156307909870957,      0.0132864915631312, 0.00314167999708039, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       779338066 
R squared (OOB):                  0.594252 

$Forests[[420]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(520000, 532000, 498000,      589000, 550000, 535000, 545000, 510000, 550000, 455000, 490000,      455000, 432000, 395000, 460000, 4e+05, 510000, 465000, 495000,      403000), floor_area_sqm = c(93, 96, 93, 96, 98, 93, 93, 97,      95, 92, 95, 93, 93, 90, 92, 92, 92, 93, 93, 92), storey_order = c(4L,      4L, 2L, 6L, 4L, 4L, 5L, 2L, 4L, 4L, 2L, 5L, 5L, 1L, 2L, 1L,      3L, 5L, 5L, 1L), remaining_lease_mths = c(1118, 1111, 1102,      1111, 1103, 1118, 1127, 1104, 1115, 1133, 1111, 1138, 1129,      997, 1137, 1131, 1136, 1097, 1080, 1138), PROX_CBD = c(13.7912064237251,      13.8842234613226, 13.8269911518463, 13.8838492138892, 13.7784857598507,      13.8964286142315, 13.8964286142315, 13.7787547800329, 13.9206851659757,      13.5263069451707, 13.7780295697528, 13.5153222954464, 13.4495242740615,      13.4480864429089, 13.9481332653994, 13.9748767742628, 14.0250110126613,      13.8110145095205, 14.2035293519974, 13.9348601041022), PROX_ELDERLYCARE = c(0.194902312085005,      0.284905700992106, 0.272443342502121, 0.321249151015697,      0.303554199654945, 0.28821019895416, 0.28821019895416, 0.357313426679343,      0.410984632703067, 0.13293861465481, 0.24280876806526, 0.128038783583345,      0.226392675254826, 0.38095926022983, 0.108372417523696, 0.0869602171534455,      0.0392522324995346, 0.2424730747692, 0.685279068417721, 0.122633260073778     ), PROX_HAWKER = c(0.761066408094757, 0.667389882084889,      0.718894335359525, 0.661984274687099, 0.771130061467184,      0.700607063348248, 0.700607063348248, 0.779750574682814,      0.63246529422046, 1.0232116664491, 0.855348356505915, 1.06471945671836,      1.13086059974118, 1.11021170000921, 0.783686601130967, 0.759405218095962,      0.732915378457501, 0.93957565430704, 0.384064154962602, 0.848294615942255     ), PROX_MRT = c(0.263976344610204, 0.172676244118343, 0.250191496834268,      0.202599849124069, 0.334453451125385, 0.214342865325431,      0.214342865325431, 0.373119808041594, 0.247793554682504,      0.529059791722705, 0.290902656750774, 0.531733722241289,      0.537207200764636, 0.436627689790507, 0.146013494832411,      0.16215489673441, 0.179377644983316, 0.110074032088272, 0.289240493397468,      0.066674836544346), PROX_PARK = c(1.03946212768551, 0.946790994443363,      1.00953333913803, 0.953674473627188, 1.07038952907209, 0.945155408432775,      0.945155408432775, 1.07510958061046, 0.9355470513087, 1.00320858387115,      1.08412864631293, 1.12627074536918, 1.14705623529365, 0.782217598170287,      0.964943529987853, 0.93793434477989, 0.898948825756494, 1.12286028608686,      0.69423802629866, 1.01289159319472), PROX_GOOD_PRISCH = c(4.37243865161908,      4.46427355245829, 4.43409233459216, 4.48950135049007, 4.41640053984819,      4.42474408393319, 4.42474408393319, 4.43794264479214, 4.55661004860153,      4.12550653324601, 4.27934963146811, 4.05859518452173, 3.97306691053722,      4.1394886986689, 4.41058426346667, 4.4381077472328, 4.48326906164864,      4.2580170038876, 4.84858590291698, 4.3780728039611), PROX_MALL = c(0.47180896375681,      0.384398044205003, 0.464449368072494, 0.415387276861254,      0.546157830895501, 0.36232957329041, 0.36232957329041, 0.579723774298741,      0.441605558767423, 0.734460127270614, 0.507308338763366,      0.741140095950697, 0.817008429043632, 0.747053206605742,      0.431747484707969, 0.408666125180857, 0.387952579177684,      0.585854127158584, 0.37351280301214, 0.500682206465503),          PROX_CHAS = c(3.14247486029477e-08, 0.0936868185767241,          0.093713435160417, 0.130388475133542, 0.171232412843018,          0.190952462752685, 0.190952462752685, 0.2330532561781,          0.230184731543739, 0.164485608616764, 0.246000912873009,          0.0484693686848179, 0.142936854782623, 0.419877338676521,          0.0812590805558053, 0.0955424375353944, 0.116095717847762,          0.123846030022364, 0.170907589664044, 3.70448785353559e-08         ), PROX_SUPERMARKET = c(8.52808058992138e-07, 0.093687407280864,          0.0937132175773042, 0.130388583033251, 0.171231859107883,          0.190953240917096, 0.190953240917096, 0.233052713938452,          0.23018467784701, 0.265115106421715, 0.271122867675942,          0.321659607097496, 0.417643104955167, 0.428569074432488,          0.194128300134642, 0.205979542456043, 0.21237786594893,          0.157551778944521, 0.170908382081647, 0.112910168339451         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 1L,          1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 2L, 2L, 2L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 5L, 3L, 5L, 4L,          4L, 4L, 4L, 5L, 4L, 4L, 3L, 5L, 3L, 4L, 5L, 3L, 5L, 5L         ), WITHIN_350M_BUS = c(8L, 7L, 8L, 9L, 7L, 9L, 9L, 11L,          13L, 2L, 9L, 6L, 5L, 4L, 7L, 6L, 9L, 12L, 9L, 11L), WITHIN_1KM_PRISCH = c(5L,          5L, 5L, 5L, 6L, 5L, 5L, 8L, 5L, 6L, 6L, 5L, 4L, 7L, 4L,          4L, 4L, 4L, 5L, 4L), DNeighbour = c(0, 96.6571397858677,          97.1738567455993, 133.606253025283, 164.37908328842,          195.816822333525, 199.516577743417, 230.34220751923,          235.14831818918, 265.36995775164, 276.181207598646, 318.516359287642,          410.462073838504, 420.779628720066, 428.708644380979,          441.585947823825, 474.537010777306, 474.974720350829,          496.094873826039, 499.148529253634)), row.names = c("420",      "670", "376", "723", "837", "760", "442", "549", "516", "779",      "282", "183", "988", "655", "34", "690", "8", "645", "66",      "356"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.926410069597184,      0.925636396882274, 0.861840527974533, 0.794859639086227,      0.715884139059808, 0.705984507420243, 0.6194401281764, 0.605386444571669,      0.514595757284805, 0.481433307385508, 0.351416147488225,      0.104835033959777, 0.0837290472345095, 0.068814562223248,      0.0472384307772023, 0.00925113624006647, 0.00893303023263406,      0.000148791969339288, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2391911058 
R squared (OOB):                  0.2114253 

$Forests[[421]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 490000, 505000,      433000, 5e+05, 505000, 475000, 420000, 540000, 348000, 510000,      376000, 495000, 372500, 540000, 450000, 452000, 475000, 565000,      415000), floor_area_sqm = c(92, 92, 90, 92, 92, 92, 90, 93,      90, 100, 93, 102, 93, 102, 93, 95, 95, 93, 92, 92), storey_order = c(1L,      3L, 6L, 4L, 3L, 4L, 5L, 2L, 3L, 3L, 3L, 5L, 3L, 2L, 4L, 2L,      4L, 4L, 3L, 2L), remaining_lease_mths = c(1037, 1038, 1033,      1084, 1049, 1051, 1031, 1099, 1067, 938, 1076, 944, 1076,      931, 1075, 1109, 1112, 1130, 1127, 1130), PROX_CBD = c(11.6419253241709,      11.6213283462416, 11.6571985599938, 11.8702915361943, 11.4975151935682,      11.4388659085475, 11.780035597066, 11.8999896789117, 11.5237533038112,      11.8646943012694, 11.734228152501, 11.9885535057438, 11.7824349405223,      11.9627383543319, 11.8019303594103, 12.0901026943072, 12.1424265739316,      11.4536743231806, 11.6525204845234, 11.3687765497058), PROX_ELDERLYCARE = c(0.626216066088841,      0.621923465733728, 0.400746835300904, 0.670900780040593,      0.485429735975203, 0.529438756707198, 0.389019901488026,      0.790393757138983, 0.374021376468387, 0.893707553155367,      0.217445500321488, 0.468647269590137, 0.213047345375207,      0.96089261866182, 0.184707688528033, 0.911165280518988, 0.88680281476439,      1.19895989384568, 0.090696724945174, 1.27208236570677), PROX_HAWKER = c(0.553081930127745,      0.537052085835962, 0.38372613736418, 0.715369360111721, 0.320302217757218,      0.319632581294072, 0.475091880549249, 0.820501997631561,      0.235307086042243, 0.888626336009462, 0.366555491930585,      0.661637750611862, 0.411134055372247, 0.983415578941634,      0.425288384889406, 0.995330006841388, 0.999275592501037,      1.02903329925728, 0.325622570567264, 1.07923254025891), PROX_MRT = c(0.168432978085695,      0.182944945438028, 0.187661086924798, 0.146531371307633,      0.24936700359253, 0.264110896255266, 0.149757666469573, 0.261250382411254,      0.148196296616071, 0.214047355776769, 0.276453864170284,      0.253577460439113, 0.323171872402698, 0.122900516984256,      0.341923672362566, 0.231980634651484, 0.303530488733859,      0.573574303209013, 0.219824289848129, 0.671331594421278),          PROX_PARK = c(0.654970873229416, 0.643411448820926, 0.822874314333037,          0.8322137924942, 0.698336840868775, 0.653351036954048,          0.915827670442916, 0.813614799778521, 0.808531626238996,          0.747986195716587, 1.00928973198994, 0.965214735166117,          1.04913519120928, 0.836149627657164, 1.09015045463689,          0.750469455971567, 0.699596772952975, 0.341254943367627,          1.18955170998222, 0.294690087030438), PROX_GOOD_PRISCH = c(2.71543842399088,          2.69528593883292, 2.58492752090912, 2.91053685401804,          2.48345794754568, 2.45055199705462, 2.67648686403773,          3.00567179865442, 2.43173748992112, 3.05097986431403,          2.54247396470066, 2.84793008582659, 2.5757070458522,          3.15511978010431, 2.57167610218627, 3.19167768034691,          3.20088339163048, 2.96812409551872, 2.3279627535371,          2.95589454100459), PROX_MALL = c(0.576398809288588, 0.597386337892971,          0.718523422751835, 0.385092319171944, 0.805279144871904,          0.840491697823826, 0.657761426948524, 0.283076960540796,          0.840908486660855, 0.265637621954407, 0.781937846313192,          0.581599658792334, 0.732391369928616, 0.161680393170103,          0.70263709534569, 0.1200910408013, 0.171446483339376,          0.714729745574342, 0.807719243520252, 0.814743407183115         ), PROX_CHAS = c(0.118628580179885, 0.130352204164602,          0.162236141473446, 0.179381733260264, 0.18789773503711,          0.210772889992189, 0.165734916528407, 0.283076936045466,          0.0822817354855642, 0.265637621677666, 0.203102352137365,          0.0548782345589675, 0.182294192745256, 0.161680400961643,          0.144895120017984, 0.120090990225825, 0.171446425970546,          0.31407050179696, 0.162428164506486, 0.257507761616553         ), PROX_SUPERMARKET = c(0.0879874709963817, 0.0679201472407272,          0.248678179468178, 0.31749021679057, 0.186124684843571,          0.189609627596398, 0.328761363845442, 0.236972988988714,          0.113409172087645, 0.211091622880127, 0.206717744357565,          0.41771106664497, 0.186528474083994, 0.107037284539066,          0.149354766345577, 0.109512866312649, 0.178201527122821,          0.345653574215055, 0.158766807317564, 0.30094246041235         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 8L, 9L, 4L, 4L,          9L, 7L, 4L, 7L, 8L, 6L, 8L, 8L, 7L, 8L, 7L, 2L, 4L, 3L         ), WITHIN_350M_BUS = c(8L, 8L, 9L, 10L, 8L, 7L, 8L, 9L,          5L, 8L, 10L, 14L, 11L, 9L, 13L, 8L, 9L, 8L, 11L, 10L),          WITHIN_1KM_PRISCH = c(5L, 6L, 5L, 5L, 4L, 5L, 6L, 5L,          4L, 5L, 5L, 7L, 7L, 4L, 6L, 4L, 5L, 4L, 6L, 3L), DNeighbour = c(0,          20.9305391269275, 217.594678593708, 233.815813021626,          239.746679550396, 264.87135535159, 267.788805636916,          297.905511135218, 318.091861349558, 343.106950971655,          409.667025503188, 420.279512960673, 432.359616167478,          445.442463012864, 473.204196358507, 491.17488122118,          521.235292785841, 587.907902278116, 665.463625950935,          666.664733006336)), row.names = c("421", "89", "977",      "110", "553", "271", "263", "185", "652", "232", "409", "486",      "260", "295", "342", "117", "147", "132", "557", "157"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998029566566747, 0.79828441062176, 0.769115246933832, 0.758070935682218,      0.70921023194577, 0.703333259021446, 0.640506549985578, 0.596506305624837,      0.540405985231479, 0.387365450753929, 0.363089688069257,      0.335697610335696, 0.30642279206353, 0.24618675434935, 0.209011844593233,      0.151089583268106, 0.0494240304366084, 1.29606164565385e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2056259170 
R squared (OOB):                  0.4619801 

$Forests[[422]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395888, 425000, 368000,      370000, 390000, 375000, 4e+05, 3e+05, 342000, 365000, 345000,      371000, 390000, 4e+05, 332000, 313000, 430000, 4e+05, 310000,      338000), floor_area_sqm = c(94, 93, 100, 92, 91, 100, 100,      94, 105, 91, 92, 91, 90, 91, 104, 103, 91, 90, 104, 103),          storey_order = c(3L, 3L, 2L, 3L, 2L, 5L, 5L, 2L, 4L,          5L, 2L, 2L, 2L, 2L, 3L, 4L, 4L, 3L, 3L, 4L), remaining_lease_mths = c(1063,          1029, 937, 922, 956, 935, 923, 817, 822, 965, 974, 957,          947, 956, 838, 823, 962, 953, 838, 836), PROX_CBD = c(18.1899007658477,          18.2498667293237, 18.1853912561079, 18.2744201988815,          17.980006840849, 18.2155576397088, 18.2155576397088,          18.4835571341017, 18.4174433264455, 17.6174166659189,          17.6174166659189, 17.630719557776, 17.5579663674298,          17.5146993337396, 18.3394484051955, 19.0236365771618,          17.4594236905894, 17.5759295796121, 18.2872060948971,          18.1853470145009), PROX_ELDERLYCARE = c(2.0412967820292,          2.08641833813892, 1.83831888483507, 1.91030467455468,          1.69038013517483, 1.82774218733134, 1.82774218733134,          2.12772209584432, 2.01990466694452, 1.58663462608392,          1.58663462608392, 1.35614304544574, 1.26304449634962,          1.21552371031002, 1.68689945441126, 2.54744167947726,          1.1429422216578, 1.07156662032258, 1.57361264937598,          1.46334015610348), PROX_HAWKER = c(0.56403310040428,          0.574007707230075, 0.267411626133086, 0.292675997882175,          0.32947027962251, 0.218122417644225, 0.218122417644225,          0.47819209562201, 0.365194571711665, 0.699652587196505,          0.699652587196505, 0.550798352023498, 0.610726758846462,          0.65109908849923, 0.322806547864559, 0.905177457311038,          0.704564458032275, 0.622851592932912, 0.464971900021808,          0.490406092071559), PROX_MRT = c(0.225540054498686, 0.270260950193414,          0.186589372260449, 0.25859759791353, 0.131298797620671,          0.24629140143503, 0.24629140143503, 0.440067919828323,          0.394110762668951, 0.430901962912929, 0.430901962912929,          0.481509556817778, 0.415424130147435, 0.367017506823782,          0.722989849955079, 0.985299554465195, 0.304209523777939,          0.449846795062068, 0.870907467758581, 0.888080533877704         ), PROX_PARK = c(0.321396863181507, 0.261745107633199,          0.431621232177097, 0.366705585759005, 0.597192139646456,          0.449638685926872, 0.449638685926872, 0.199823808978303,          0.305293053539538, 0.815337468455046, 0.815337468455046,          0.706852169587072, 0.622915525490857, 0.57589083993138,          0.845903786092674, 0.583731630523903, 0.515475588097358,          0.650211227804106, 0.791043930625847, 0.741201414908801         ), PROX_GOOD_PRISCH = c(7.5338271442293, 7.5938744989762,          7.51998659904145, 7.60907430161507, 7.31481473864251,          7.54917724573578, 7.54917724573578, 7.82005706650481,          7.75189187586876, 6.95710824587607, 6.95710824587607,          6.96345421686322, 6.89020500321914, 6.84682201594428,          7.67457853159282, 8.3582852678982, 6.79149624878531,          6.90999703096039, 7.62743554697163, 7.52724739525134),          PROX_MALL = c(0.601163950940652, 0.606938778613173, 0.304347432784639,          0.31638525459609, 0.38257003715367, 0.249434383428027,          0.249434383428027, 0.482762920255867, 0.368677515727611,          0.753687860987251, 0.753687860987251, 0.581015113036356,          0.488271313828636, 0.437698049352173, 0.270650184250749,          0.880738168625507, 0.366883459562171, 0.456006423255308,          0.369641594977131, 0.362005799982455), PROX_CHAS = c(0.225556636612455,          0.270276303087269, 0.186582621643492, 0.258594927218762,          0.131281394661179, 0.246283235408848, 0.246283235408848,          0.297885151722028, 0.279695275413424, 0.430898255483663,          0.430898255483663, 0.481496129777697, 0.40162373925963,          0.354009255575758, 0.186439783883369, 0.162790585292827,          0.293637386768921, 0.401255348981324, 0.000458346083760352,          0.11010335009361), PROX_SUPERMARKET = c(0.37174850741073,          0.384544806397502, 0.289364184128333, 0.297968471640837,          0.37748716441855, 0.233030240431279, 0.233030240431279,          0.402675729717655, 0.3481604922123, 0.467885028141574,          0.467885028141574, 0.432325009404537, 0.339170507836652,          0.288534867112482, 0.279112228601587, 0.258877921583013,          0.217741105325511, 0.338457664260807, 0.367596841627256,          0.36017462873485), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 4L, 1L,          2L, 1L, 6L, 7L), WITHIN_350M_CHILDCARE = c(5L, 6L, 7L,          7L, 5L, 7L, 7L, 9L, 7L, 4L, 4L, 6L, 6L, 6L, 4L, 4L, 6L,          5L, 4L, 4L), WITHIN_350M_BUS = c(13L, 11L, 16L, 17L,          14L, 15L, 15L, 12L, 14L, 6L, 6L, 8L, 9L, 10L, 11L, 11L,          8L, 8L, 9L, 11L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 5L,          3L, 6L, 6L, 5L, 5L, 3L, 3L, 4L, 4L, 4L, 6L, 2L, 4L, 4L,          5L, 5L), DNeighbour = c(0, 67.4606274487594, 303.46408056224,          306.042329059273, 351.790432034579, 352.815644531066,          359.962233853475, 368.693116688586, 383.241894724356,          580.855493416167, 583.747423118636, 692.079955468133,          792.041425886277, 844.009057590762, 854.316706540421,          886.2316424741, 915.403888449476, 974.640363780576, 1018.32103310135,          1057.72350101931)), row.names = c("422", "369", "31",      "835", "910", "571", "643", "774", "257", "220", "14", "547",      "545", "93", "693", "248", "937", "357", "414", "857"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.991881005712662, 0.842148786911525, 0.839572758449199,      0.791001276573092, 0.789853184068788, 0.781780870715946,      0.771757593220096, 0.754672819968889, 0.487800819353499,      0.483604818263835, 0.327043670173122, 0.192960748580864,      0.131970850782915, 0.120847129072429, 0.0887913946684788,      0.0630015364096854, 0.0227792850055682, 0.00534603212195028,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       978056864 
R squared (OOB):                  0.2959818 

$Forests[[423]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 330000, 306000,      320000, 320000, 312000, 345888, 355000, 460000, 420000, 350000,      365000, 373000, 4e+05, 410000, 420000, 435000, 398000, 418000,      425000), floor_area_sqm = c(107, 107, 109, 104, 104, 107,      104, 94, 105, 104, 106, 105, 92, 92, 92, 92, 92, 92, 112,      93), storey_order = c(2L, 3L, 1L, 2L, 2L, 1L, 4L, 1L, 4L,      4L, 2L, 2L, 1L, 1L, 3L, 5L, 4L, 2L, 5L, 4L), remaining_lease_mths = c(755,      776, 773, 772, 779, 779, 763, 1071, 770, 774, 781, 771, 1128,      1127, 1131, 1134, 1129, 1136, 904, 1126), PROX_CBD = c(15.936744569076,      16.4773488158513, 16.2343575305192, 16.0390890659677, 16.6890813896757,      16.6890813896757, 16.5598581376431, 15.3735649652411, 15.1689870500438,      15.0460728336845, 15.2518600651656, 14.8222691165004, 17.1731083577317,      17.1731083577317, 17.2397585888566, 17.2397585888566, 17.2397585888566,      17.26435404508, 17.2048826778539, 17.3263676504413), PROX_ELDERLYCARE = c(0.526555480516014,      0.393080972860029, 0.63095091801206, 0.520751571920202, 0.296144426041885,      0.296144426041885, 0.633922933695123, 0.0572763643156628,      0.235447740717014, 0.0734543941007858, 0.341160576506438,      0.151522520392741, 0.456899326246073, 0.456899326246073,      0.500148198332671, 0.500148198332671, 0.500148198332671,      0.542806768712765, 0.400468425457175, 0.561119780492452),          PROX_HAWKER = c(0.44834457013621, 0.170796598263111,          0.355821892612055, 0.601123999453785, 0.360513691606501,          0.360513691606501, 0.402483389428837, 0.371848396937832,          0.493984449855749, 0.321243604465073, 0.711147803357143,          0.189112683951821, 0.507233229895407, 0.507233229895407,          0.55990768529081, 0.55990768529081, 0.55990768529081,          0.598096651463893, 0.498365875295267, 0.631285601786086         ), PROX_MRT = c(0.239432195714991, 0.826410504821953,          0.864165890870668, 0.965829261077996, 0.937471590679814,          0.937471590679814, 1.05011238745279, 0.753708157385654,          0.840089990200814, 0.667161579318597, 1.05589835680014,          0.506610369321483, 1.18009183772516, 1.18009183772516,          1.16124452414741, 1.16124452414741, 1.16124452414741,          1.20599959693509, 0.87869292375624, 1.13344401626098),          PROX_PARK = c(0.747611444367071, 1.2054653508424, 1.34373269803231,          1.48305338833506, 1.20981147430356, 1.20981147430356,          1.45762221914422, 0.535685352466539, 1.48925201971724,          1.32178658469093, 1.72109509304533, 1.20591145519053,          1.02763138312455, 1.02763138312455, 0.959994438388966,          0.959994438388966, 0.959994438388966, 0.937816003807321,          0.9054780070858, 0.872985599051717), PROX_GOOD_PRISCH = c(5.39194564581962,          5.97835326648125, 5.7932792467937, 5.64743379607767,          6.16175607197734, 6.16175607197734, 6.10793998843997,          4.72825571795328, 4.81784539373378, 4.66454637236311,          4.96507368960908, 4.44405903659268, 6.57664814247058,          6.57664814247058, 6.64012383316355, 6.64012383316355,          6.64012383316355, 6.66937916554136, 6.57740517739392,          6.72174636420399), PROX_MALL = c(0.942416713928675, 0.76724723438711,          1.10378372306907, 1.36185056241102, 0.571849863617429,          0.571849863617429, 0.973625110866692, 0.408391974099547,          1.93173107331603, 1.83033637772351, 2.06076738363197,          1.74752862756084, 0.392080122681935, 0.392080122681935,          0.450738515511335, 0.450738515511335, 0.450738515511335,          0.484724019608978, 0.446026044391999, 0.530342726071102         ), PROX_CHAS = c(0.145251548786172, 0.09463300161804,          0.289709096170644, 0.205355834952608, 0.332465298200207,          0.332465298200207, 0.306725496117186, 0.289984207596008,          0.22714457633909, 0.0544168696099871, 0.453299264887269,          0.191193294854487, 0.214971829128206, 0.214971829128206,          0.221318263528924, 0.221318263528924, 0.221318263528924,          0.270084445320348, 0.130380344727655, 0.254413742194056         ), PROX_SUPERMARKET = c(0.434198104817495, 0.108262733037825,          0.132128014198024, 0.352842931529878, 0.204374831829505,          0.204374831829505, 0.252218317780421, 0.406388098650168,          0.459690883388295, 0.286721618184596, 0.644027759940317,          0.188017328828043, 0.391090025360665, 0.391090025360665,          0.449846933875903, 0.449846933875903, 0.449846933875903,          0.483753219919624, 0.445962312606475, 0.529573977763673         ), WITHIN_350M_KINDERGARTEN = c(0L, 3L, 0L, 1L, 3L, 3L,          2L, 2L, 2L, 1L, 0L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 6L, 8L, 6L, 3L, 3L,          5L, 4L, 1L, 1L, 0L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 3L         ), WITHIN_350M_BUS = c(7L, 9L, 9L, 7L, 9L, 9L, 5L, 12L,          4L, 5L, 6L, 6L, 8L, 8L, 6L, 6L, 6L, 6L, 8L, 5L), WITHIN_1KM_PRISCH = c(4L,          3L, 2L, 2L, 4L, 4L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 3L,          3L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 621.609743614511,          621.991776224385, 733.351214489938, 768.814453391087,          773.546904975485, 828.01408776972, 985.076542627629,          1062.41710722075, 1076.60717535988, 1183.59659100529,          1260.80706874001, 1267.0211603997, 1268.37845632483,          1332.69986722663, 1337.22296669449, 1337.91257394876,          1353.490539499, 1389.26010385244, 1428.2778917168)), row.names = c("423",      "107", "468", "751", "328", "497", "883", "601", "739", "256",      "109", "64", "985", "507", "86", "280", "290", "847", "889",      "925"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.657050990168743,      0.656673484575463, 0.542237403094781, 0.504460553262345,      0.499390702395285, 0.44078220804944, 0.274911881145999, 0.199536322948442,      0.186464930806024, 0.0981420919008907, 0.0487344985013306,      0.0453940327507696, 0.0446780505771173, 0.0167336646299521,      0.0152371457632483, 0.0150147071199265, 0.010400336921009,      0.00290411622975363, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1964893264 
R squared (OOB):                  0.08085257 

$Forests[[424]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 308000, 310000,      365000, 280000, 3e+05, 355000, 398000, 380000, 375000, 418000,      295000, 327000, 395000, 350000, 613000, 550000, 368000, 358000,      359000), floor_area_sqm = c(104, 84, 84, 103, 84, 85, 104,      104, 108, 104, 104, 83, 84, 93, 93, 92, 92, 92, 91, 103),          storey_order = c(2L, 1L, 2L, 4L, 4L, 4L, 4L, 3L, 2L,          1L, 1L, 1L, 1L, 4L, 1L, 4L, 2L, 2L, 1L, 1L), remaining_lease_mths = c(785,          779, 787, 805, 809, 798, 814, 823, 807, 808, 794, 812,          802, 1108, 1111, 1119, 1124, 1100, 760, 799), PROX_CBD = c(14.7946380504301,          14.8104288104214, 14.7686155241139, 14.5082496767788,          14.5514247745221, 14.6468242567931, 14.9797222810306,          14.4215550437188, 14.3069689320192, 14.2674761918172,          14.6249352309891, 14.136177090114, 15.395293903354, 14.6649260398624,          14.6221320584002, 15.4589251607201, 15.4589251607201,          14.9752079088984, 15.6053010835868, 14.1470244070667),          PROX_ELDERLYCARE = c(1.02543356664281, 1.14385816982861,          1.18091019396193, 1.0960579077266, 0.934928905143492,          0.791783477476035, 1.40865121451131, 0.933706769700102,          1.30284795398611, 1.37520258101488, 1.66362706878828,          1.52241617566094, 1.48326161455178, 0.374463671675583,          0.410896008057539, 0.68815946921851, 0.68815946921851,          0.199763345782594, 1.18278326755006, 1.73443513584582         ), PROX_HAWKER = c(0.927587772885235, 1.03493347869974,          1.07995965555937, 1.06968967826483, 0.920905853639359,          0.771377618176498, 1.17708155532767, 0.964097104531415,          1.30042856091519, 1.3725902814614, 1.46189875323845,          1.5304212921709, 0.763118949388798, 0.515424723672587,          0.55845452984231, 0.469966667540803, 0.469966667540803,          0.202333554334061, 0.745618024005524, 1.71810403079302         ), PROX_MRT = c(0.635923545376501, 0.547659244513397,          0.495669019430354, 0.541381135472874, 0.702240402731505,          0.834242720427877, 0.541117453484526, 0.766580328668093,          0.431073100471927, 0.392323251912074, 0.177135615746217,          0.407136749273107, 0.486709870425329, 1.31347134818138,          1.30119397664661, 0.729135125223405, 0.729135125223405,          1.27457972333389, 0.180817781363956, 0.316955810938843         ), PROX_PARK = c(0.687013904416796, 0.79060261488636,          0.837021679605882, 0.854937524579578, 0.717751277212032,          0.572284771964545, 0.869949400509587, 0.786856267919922,          0.87843358408359, 0.808406007535371, 0.967683324465338,          0.646645557650639, 0.736647900507106, 0.48594234877488,          0.524601749565547, 0.194645215248471, 0.194645215248471,          0.259935562114549, 0.580682002012541, 0.521638252737905         ), PROX_GOOD_PRISCH = c(5.2635668385575, 5.2589313064801,          5.21242267662931, 4.9821455258424, 5.05486565817651,          5.17213285521296, 5.38873705701154, 4.94298421634201,          4.7599521059868, 4.71060068854172, 5.00900650468442,          4.56541244462189, 5.79164197089728, 5.30673314037113,          5.26427170666348, 6.00758296280353, 6.00758296280353,          5.6171537261999, 6.02648848177283, 4.5417585858835),          PROX_MALL = c(0.540570027720398, 0.641907311269237, 0.644074766251318,          0.395836928017505, 0.264439990658005, 0.253080993480643,          0.857174016474006, 0.158055972255249, 0.530519583310388,          0.598720745421956, 1.02277508016934, 0.730402721918488,          0.561468969675593, 0.439421746266814, 0.412850725186958,          0.632880647427991, 0.632880647427991, 0.689421511186311,          0.252610517585887, 0.958986678954386), PROX_CHAS = c(0.151656769473437,          0.273160540123658, 0.305551557127515, 0.111998728732921,          0.0412741280494288, 0.118994056415591, 0.0593781975043205,          0.110909163864147, 0.141608811196257, 0.0989632897848068,          0.253202817693943, 0.0978085819739089, 0.1019571402223,          0.0969357032130768, 0.0938393111767789, 0.206736748098593,          0.206736748098593, 0.230775629929228, 0.0925674017483885,          0.262672355720334), PROX_SUPERMARKET = c(0.505826018716947,          0.406551385550075, 0.397697747354111, 0.321173728185784,          0.259076961683863, 0.246822057901315, 0.101389584423307,          0.155031856949385, 0.179396317901182, 0.13781747249929,          0.177136085505812, 0.152757697669253, 0.0953919744611677,          0.0969351949685631, 0.0938384818523742, 0.327859325274294,          0.327859325274294, 0.264202614673064, 0.188530812320699,          0.246179282205813), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 1L, 1L, 0L, 1L, 2L, 3L, 1L, 3L, 1L, 1L, 1L,          0L, 0L, 0L, 1L, 3L), WITHIN_350M_CHILDCARE = c(5L, 2L,          3L, 4L, 4L, 5L, 3L, 3L, 7L, 7L, 1L, 7L, 2L, 6L, 6L, 2L,          2L, 4L, 5L, 4L), WITHIN_350M_BUS = c(8L, 7L, 8L, 8L,          7L, 9L, 10L, 10L, 7L, 6L, 9L, 7L, 9L, 8L, 9L, 7L, 7L,          9L, 10L, 6L), WITHIN_1KM_PRISCH = c(3L, 4L, 3L, 3L, 2L,          3L, 4L, 2L, 3L, 3L, 2L, 3L, 4L, 4L, 4L, 4L, 4L, 3L, 4L,          2L), DNeighbour = c(0, 120.000674196232, 159.363297439769,          291.615304966593, 292.73670751537, 310.13503725873, 424.71730781942,          439.57184867471, 506.351209410863, 568.128948326788,          642.131705024076, 722.849672549632, 765.345443916709,          773.512519015869, 780.002848157616, 816.639935751717,          822.690967081955, 835.107131141698, 850.285609116308,          853.150808868789)), row.names = c("424", "396", "101",      "884", "253", "862", "984", "546", "341", "377", "30", "665",      "556", "17", "324", "455", "963", "558", "143", "636"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.96082325885468, 0.931433585483323, 0.779982294010357, 0.778392885910696,      0.753172661659544, 0.565764491916317, 0.539540895007362,      0.41957891955468, 0.309750670464973, 0.187925982933525, 0.079598680831561,      0.0381208234844087, 0.031676411430903, 0.026937377585246,      0.0070156079091613, 0.00491833474628487, 0.00175155789876517,      4.49633269368413e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8375282103 
R squared (OOB):                  -0.2815013 

$Forests[[425]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(7e+05, 670000, 540000,      415000, 475000, 463888, 578888, 410000, 315000, 421000, 525000,      558000, 392000, 425000, 430000, 490000, 380000, 348000, 350880,      350000), floor_area_sqm = c(92, 92, 92, 92, 93, 95, 95, 93,      91, 93, 95, 92, 103, 108, 91, 92, 92, 100, 91, 105), storey_order = c(4L,      5L, 6L, 2L, 4L, 1L, 2L, 4L, 1L, 4L, 5L, 6L, 2L, 3L, 4L, 3L,      1L, 3L, 2L, 1L), remaining_lease_mths = c(1126, 1121, 1142,      1130, 1130, 1140, 1134, 788, 790, 789, 1141, 1136, 833, 820,      777, 1038, 1037, 938, 785, 837), PROX_CBD = c(11.1573644039326,      11.0595651330709, 11.3687765497058, 11.3687765497058, 11.4536743231806,      11.4133195883395, 11.5493041544933, 10.7402382849343, 10.6917699702976,      10.8005053894847, 11.6190928108465, 11.665784828589, 10.8307618753175,      10.7884209511687, 10.4167519306418, 11.6213283462416, 11.6419253241709,      11.8646943012694, 10.3813809316332, 10.9742090734032), PROX_ELDERLYCARE = c(1.34447435494956,      1.41694161867716, 1.27208236570677, 1.27208236570677, 1.19895989384568,      1.61512702812623, 1.47184415110161, 1.05196585123006, 1.07660186858624,      1.11154389564577, 1.40356458884146, 1.35367167055226, 1.12487398858542,      1.11323464510705, 0.852176862644424, 0.621923465733728, 0.626216066088841,      0.893707553155367, 0.833489789321986, 0.852070403211021),          PROX_HAWKER = c(1.10011050744246, 1.19495083476736, 1.07923254025891,          1.07923254025891, 1.02903329925728, 1.4377955077332,          1.35052465166479, 1.02652926791064, 1.35937058559257,          0.918995125488027, 1.37423229702662, 1.3549106116919,          0.775872885593274, 0.812377793689625, 1.55256346901264,          0.537052085835962, 0.553081930127745, 0.888626336009462,          1.5910354083573, 0.487483409830997), PROX_MRT = c(0.876646963171676,          0.991329354536752, 0.671331594421278, 0.671331594421278,          0.573574303209013, 0.8250506195824, 0.653877184653349,          0.546812793492647, 0.753106278920522, 0.566932323762424,          0.615423035680267, 0.561684506891731, 0.568072215940967,          0.526269526678983, 0.686459009674335, 0.182944945438028,          0.168432978085695, 0.214047355776769, 0.699917284291438,          0.534522073584246), PROX_PARK = c(0.189026691537682,          0.275833477585303, 0.294690087030438, 0.294690087030438,          0.341254943367627, 0.60176146852012, 0.597750851398377,          0.401614025373747, 0.536819237128991, 0.370936327890873,          0.654992910383756, 0.671016599957339, 0.443949121553361,          0.467051942358664, 0.613918856542286, 0.643411448820926,          0.654970873229416, 0.747986195716587, 0.616002692100522,          0.623434891123849), PROX_GOOD_PRISCH = c(2.83177349547833,          2.8385375863655, 2.95589454100459, 2.95589454100459,          2.96812409551872, 3.26097143466547, 3.26501815247482,          2.39141973384207, 2.68318776685765, 2.34700895725274,          3.31796907605439, 3.32537175969635, 2.22887532154294,          2.2131785217075, 2.62113030487697, 2.69528593883292,          2.71543842399088, 3.05097986431403, 2.6286340652406,          2.09882394138718), PROX_MALL = c(0.831480717149744, 0.76911725394793,          0.814743407183115, 0.814743407183115, 0.714729745574342,          0.979751787656279, 0.808458836713889, 0.344610557976029,          0.459259689573629, 0.363372953846058, 0.768943294332632,          0.714662485508778, 0.384053234723219, 0.340751907865098,          0.350991485118426, 0.597386337892971, 0.576398809288588,          0.265637621954407, 0.365493224544838, 0.606835933426222         ), PROX_CHAS = c(0.0819321575559949, 0.0661119226245057,          0.257507761616553, 0.257507761616553, 0.31407050179696,          0.136218265087875, 0.0498455969042401, 0.106045676778667,          0.0626028682349028, 0.111289200730163, 0.119929951445322,          0.167944095298073, 0.2644107607892, 0.260152478655286,          0.302383860370021, 0.130352204164602, 0.118628580179885,          0.265637621677666, 0.28517644723447, 0.20965056306942         ), PROX_SUPERMARKET = c(0.408274605358357, 0.444069124865739,          0.30094246041235, 0.30094246041235, 0.345653574215055,          0.0830307595499944, 0.0982179911218008, 0.357992185767737,          0.550262392018624, 0.386863986973968, 0.16327623873727,          0.215917356790886, 0.407226974513028, 0.363982132031921,          0.519095500550079, 0.0679201472407272, 0.0879874709963817,          0.211091622880127, 0.49431722643315, 0.477398814511427         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 1L, 1L, 0L, 0L,          0L, 2L, 1L, 2L, 0L, 0L, 2L, 1L, 1L, 0L, 0L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 2L, 3L,          3L, 3L, 3L, 3L, 2L, 1L, 4L, 3L, 6L, 6L, 6L, 7L, 6L, 2L         ), WITHIN_350M_BUS = c(6L, 9L, 10L, 10L, 8L, 4L, 4L,          6L, 7L, 9L, 3L, 4L, 11L, 8L, 9L, 8L, 8L, 8L, 10L, 8L),          WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 4L, 1L, 2L, 5L,          3L, 5L, 2L, 2L, 6L, 6L, 2L, 6L, 5L, 5L, 2L, 6L), DNeighbour = c(0,          123.171692169302, 213.889460784545, 219.533730782578,          301.526536571589, 434.207381170269, 464.627490728946,          480.616232373417, 481.130566051044, 487.502856752743,          532.6259594218, 557.176043706094, 602.040108029925, 617.509016802271,          753.98051267856, 769.966541207154, 782.641112341249,          792.824428564516, 795.039305765689, 806.028577364961)), row.names = c("425",      "407", "876", "157", "132", "303", "772", "6", "569", "56",      "160", "830", "743", "696", "480", "89", "421", "232", "626",      "239"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.953841646290114,      0.86412444146741, 0.857137989221032, 0.739698586857593, 0.503819724325857,      0.445845172561364, 0.415320754886388, 0.41433997845326, 0.402199224257834,      0.317351537583233, 0.272649354439585, 0.19545966922414, 0.170627473499681,      0.0156193037285078, 0.0076525903507132, 0.0032706326077534,      0.00105593244910035, 0.000733424724949901, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8033316889 
R squared (OOB):                  0.2864406 

$Forests[[426]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(275000, 320000, 302500,      318000, 313000, 315000, 327000, 315000, 310000, 315000, 402000,      320800, 355000, 358000, 340000, 355000, 370000, 310000, 418000,      387008), floor_area_sqm = c(84, 93, 93, 84, 84, 104, 84,      97, 96, 91, 93, 92, 93, 91, 91, 104, 93, 91, 104, 97), storey_order = c(1L,      3L, 2L, 1L, 4L, 4L, 1L, 3L, 1L, 3L, 4L, 1L, 4L, 1L, 2L, 4L,      1L, 3L, 1L, 2L), remaining_lease_mths = c(807, 762, 764,      785, 772, 777, 802, 746, 772, 774, 762, 965, 761, 760, 782,      814, 782, 774, 794, 775), PROX_CBD = c(15.555826242216, 15.7384939989151,      15.7384939989151, 15.4237712873611, 15.5029529482698, 15.5029529482698,      15.395293903354, 16.179026897848, 16.0124832316584, 16.1626205207603,      15.8715793299193, 16.3149444157129, 16.1297617902268, 15.6053010835868,      16.0688727275577, 14.9797222810306, 15.9422949327985, 16.3680873997092,      14.6249352309891, 15.8742411347238), PROX_ELDERLYCARE = c(1.98144426857027,      1.81389464514152, 1.81389464514152, 1.66429806880172, 1.60634233373903,      1.60634233373903, 1.48326161455178, 1.73064849730919, 1.41328722649904,      1.55788424655444, 1.28212929908789, 1.76400828031834, 1.29938230642316,      1.18278326755006, 1.20623153653763, 1.40865121451131, 1.09392979000114,      1.42545230549203, 1.66362706878828, 0.784609866943175), PROX_HAWKER = c(0.587918588004233,      0.367446283592148, 0.367446283592148, 0.663653920640621,      0.592613874358246, 0.592613874358246, 0.763118949388798,      0.141690035201285, 0.231474226543029, 0.113648031708615,      0.428166805124, 0.267171899978326, 0.335840869363962, 0.745618024005524,      0.426544691499688, 1.17708155532767, 0.571238530927929, 0.369132496020862,      1.46189875323845, 0.921851461637316), PROX_MRT = c(0.961984472446029,      0.817431272071058, 0.817431272071058, 0.641519249244255,      0.579811001445256, 0.579811001445256, 0.486709870425329,      0.887672461516919, 0.526610558032509, 0.733071345608223,      0.326170963259121, 0.980548762507945, 0.514969181151661,      0.180817781363956, 0.406145228037129, 0.541117453484526,      0.22642613478059, 0.767751604782153, 0.177135615746217, 0.243577544220952     ), PROX_PARK = c(0.155244626205508, 0.197322246351151, 0.197322246351151,      0.527546900647844, 0.518465718930498, 0.518465718930498,      0.736647900507106, 0.539742315344257, 0.641040622161513,      0.622244080025509, 0.729541055973412, 0.504828773517413,      0.709135847201637, 0.580682002012541, 0.697314652170583,      0.869949400509587, 0.749126986336644, 0.655349613079545,      0.967683324465338, 0.457440234531046), PROX_GOOD_PRISCH = c(5.90755023148013,      6.09593783675615, 6.09593783675615, 5.79932453842233, 5.8805780078001,      5.8805780078001, 5.79164197089728, 6.53838177865997, 6.39414010271149,      6.53246509089368, 6.26806838260706, 6.672975925328, 6.52049985370614,      6.02648848177283, 6.46919552361138, 5.38873705701154, 6.35759010380229,      6.74866006620563, 5.00900650468442, 6.33578781760894), PROX_MALL = c(1.05229171505891,      0.906877360376741, 0.906877360376741, 0.726704111983395,      0.667352945771092, 0.667352945771092, 0.561468969675593,      0.960112961135972, 0.598952481573277, 0.800586392071248,      0.405953132327172, 0.965701391482886, 0.568960814514176,      0.252610517585887, 0.45653839484425, 0.857174016474006, 0.275355858531219,      0.812249060303789, 1.02277508016934, 0.159478773824134),          PROX_CHAS = c(0.0651877268759985, 0.184740133551779,          0.184740133551779, 0.11942955396425, 0.128101303359069,          0.128101303359069, 0.1019571402223, 0.0821179618758864,          0.191204296760245, 0.107377285719627, 0.170717118999449,          0.215258950862385, 0.215228497760129, 0.0925674017483885,          0.123235071398074, 0.0593781975043205, 0.101928728560798,          0.317481852326526, 0.253202817693943, 0.159478805927642         ), PROX_SUPERMARKET = c(0.511049564140858, 0.287892528450529,          0.287892528450529, 0.307102160965552, 0.314517101025506,          0.314517101025506, 0.0953919744611677, 0.224545288466622,          0.214004200599592, 0.191669323632479, 0.323117190327721,          0.357579925001748, 0.353026966783941, 0.188530812320699,          0.399183655269817, 0.101389584423307, 0.218983947734938,          0.442251956603444, 0.177136085505812, 0.159478664733051         ), WITHIN_350M_KINDERGARTEN = c(1L, 3L, 3L, 1L, 1L, 1L,          1L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 7L, 7L, 3L, 2L, 2L,          2L, 3L, 4L, 5L, 2L, 1L, 3L, 5L, 3L, 3L, 2L, 2L, 1L, 5L         ), WITHIN_350M_BUS = c(7L, 10L, 10L, 11L, 10L, 10L, 9L,          8L, 8L, 9L, 8L, 8L, 8L, 10L, 9L, 10L, 8L, 8L, 9L, 8L),          WITHIN_1KM_PRISCH = c(1L, 3L, 3L, 4L, 3L, 3L, 4L, 3L,          4L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 6L), DNeighbour = c(0,          214.863706875581, 216.746786415523, 409.014576831191,          419.044563090643, 419.067338147495, 625.015969624838,          646.431750946286, 667.552423545298, 699.315660505104,          714.563365382967, 768.146809511018, 821.714779518117,          835.256894309412, 857.568105807644, 896.912399728566,          898.887045978651, 951.883716059945, 1027.26128720932,          1199.20518673248)), row.names = c("426", "803", "437",      "293", "587", "162", "556", "336", "740", "335", "294", "980",      "184", "143", "804", "984", "708", "198", "30", "83"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.936825530883882, 0.935731810754857, 0.780873214457572,      0.770699642823513, 0.77067633810979, 0.530506913944703, 0.503283720179335,      0.4762752557455, 0.435516709968811, 0.415955250744422, 0.347746147174483,      0.281407764406603, 0.265096857004648, 0.238742018043704,      0.194139031965327, 0.191972178040619, 0.136856795675315,      0.0708650129339606, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       855979381 
R squared (OOB):                  0.3493806 

$Forests[[427]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 420000, 428000,      433000, 416000, 292000, 418000, 258000, 367000, 412000, 288000,      395000, 365000, 4e+05, 4e+05, 285000, 415000, 3e+05, 420000,      315000), floor_area_sqm = c(92, 92, 92, 92, 92, 84, 92, 84,      92, 92, 84, 92, 92, 92, 92, 84, 92, 84, 92, 84), storey_order = c(2L,      5L, 4L, 4L, 4L, 1L, 5L, 1L, 1L, 5L, 1L, 2L, 1L, 2L, 3L, 3L,      5L, 1L, 3L, 3L), remaining_lease_mths = c(1130, 1143, 1140,      1130, 1140, 761, 1138, 781, 1137, 1144, 770, 1146, 1137,      1137, 1143, 776, 1144, 766, 1144, 804), PROX_CBD = c(16.1976566517324,      16.1537572283104, 16.1831859860721, 16.055983361932, 16.055983361932,      16.3662877971208, 16.0903666266177, 16.1631400386504, 16.0903666266177,      16.0903666266177, 16.2681803933938, 16.0046521285213, 16.0046521285213,      16.0475930141239, 16.0475930141239, 16.2311391435218, 15.9533618390172,      16.3138748954346, 15.9392575628934, 15.9050437012323), PROX_ELDERLYCARE = c(9.89208662673193e-07,      0.0462823216560119, 0.0701319802482612, 0.146417557277997,      0.146417557277997, 0.177020457931737, 0.179967723198436,      0.194171564025932, 0.179967723198436, 0.179967723198436,      0.20801878428071, 0.20718686492254, 0.20718686492254, 0.129564145964732,      0.129564145964732, 0.252142982647588, 0.251148223850536,      0.259941730365991, 0.0436662178849567, 0.346730428331521),          PROX_HAWKER = c(1.03146250928298, 0.986028325459381,          1.00994702859189, 0.897672222950446, 0.897672222950446,          1.20613696965479, 0.9143232220583, 1.03995728027003,          0.9143232220583, 0.9143232220583, 1.14155805943316, 0.855932206484513,          0.855932206484513, 0.872301448799324, 0.872301448799324,          1.12300848995143, 0.802087399746937, 1.19589315813724,          0.765854363537175, 0.79668564149145), PROX_MRT = c(1.02706758196582,          1.02112351286352, 1.08237519657155, 0.936151237003446,          0.936151237003446, 1.07002489239586, 1.13213387762555,          0.842728374229233, 1.13213387762555, 1.13213387762555,          0.896888955057001, 0.883219311345816, 0.883219311345816,          1.14436247830993, 1.14436247830993, 0.830985280221221,          0.8851452059773, 0.896077488488813, 1.14464062157712,          0.750476153315833), PROX_PARK = c(0.822565203699192,          0.793519520304926, 0.848434833813522, 0.683762717294504,          0.683762717294504, 0.840406553837571, 0.83568858459355,          0.707513815343702, 0.83568858459355, 0.83568858459355,          0.750067315759091, 0.619767633008914, 0.619767633008914,          0.824988291997923, 0.824988291997923, 0.723677668737743,          0.589052524814441, 0.695881850270676, 0.777956069134633,          0.475878847958935), PROX_GOOD_PRISCH = c(6.78043949525415,          6.74044920052795, 6.78038310261662, 6.63421015362065,          6.63421015362065, 6.93507101526025, 6.70919168347838,          6.70927938580052, 6.70919168347838, 6.70919168347838,          6.81173689796023, 6.57618460349959, 6.57618460349959,          6.67335529701902, 6.67335529701902, 6.76533990958697,          6.52939634907869, 6.84997592861041, 6.57394481891556,          6.45664561130608), PROX_MALL = c(0.189710317758296, 0.180580587241737,          0.241735562355662, 0.118546137622893, 0.118546137622893,          0.298590834338171, 0.311149009276151, 0.0870960802892481,          0.311149009276151, 0.311149009276151, 0.188162247463955,          0.110811660449771, 0.110811660449771, 0.339403259296736,          0.339403259296736, 0.175221521556568, 0.161178852361569,          0.242195958154985, 0.391567182053879, 0.18299798168314         ), PROX_CHAS = c(0.0868060808909073, 0.0922372285822684,          0.148113838308576, 0.110329053122027, 0.110329053122027,          0.209004221202181, 0.215238065300109, 0.081875317774622,          0.215238065300109, 0.215238065300109, 0.160774225575301,          0.114687044901222, 0.114687044901222, 0.16574506375663,          0.16574506375663, 0.170601730776313, 0.165813590617473,          0.218904529587093, 0.0895372628546906, 0.190026772642962         ), PROX_SUPERMARKET = c(0.195853508350489, 0.186806037215644,          0.247969406526707, 0.123371553336512, 0.123371553336512,          0.303085580417471, 0.316789996913415, 0.0873208554119548,          0.316789996913415, 0.316789996913415, 0.189660657064324,          0.112847248683738, 0.112847248683738, 0.344658205065017,          0.344658205065017, 0.137275095711229, 0.162291812321236,          0.204979568486045, 0.354688671920554, 0.179336240856332         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(8L, 8L, 7L, 3L, 3L, 8L,          2L, 6L, 2L, 2L, 6L, 3L, 3L, 2L, 2L, 5L, 3L, 4L, 3L, 4L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 7L, 7L, 5L, 8L, 11L,          8L, 8L, 11L, 7L, 7L, 9L, 9L, 10L, 8L, 8L, 9L, 8L), WITHIN_1KM_PRISCH = c(5L,          4L, 4L, 5L, 5L, 4L, 4L, 5L, 4L, 4L, 5L, 5L, 5L, 4L, 4L,          5L, 5L, 5L, 4L, 6L), DNeighbour = c(0, 50.9864789528301,          71.420612670634, 149.90050603693, 151.23438325394, 179.041496842916,          192.36044280459, 193.004305497117, 194.66405672981, 195.862445125136,          204.689336222253, 212.017938881994, 213.744177808208,          238.19625375563, 239.263009978933, 250.368920007071,          252.608958317123, 259.545792327122, 334.121723257561,          347.157033427371)), row.names = c("427", "869", "661",      "741", "538", "687", "249", "872", "161", "919", "798", "408",      "594", "440", "28", "945", "124", "848", "517", "59"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.957324491209203, 0.917141734343672, 0.661869279393749,      0.656457369070039, 0.538779533062742, 0.480208609786367,      0.477359477212146, 0.470010566388055, 0.464701132048617,      0.425564423828494, 0.39314575004678, 0.385535382652494, 0.280073909350936,      0.27561859502197, 0.230278675294891, 0.221393661073409, 0.194521597037384,      0.00542985908842872, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       632905059 
R squared (OOB):                  0.8131763 

$Forests[[428]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 380000, 430000,      367000, 410000, 390000, 430000, 405000, 360000, 448000, 450000,      415000, 395000, 420000, 405000, 362500, 393000, 455000, 412000,      425000), floor_area_sqm = c(107, 106, 107, 104, 106, 109,      104, 104, 84, 116, 106, 103, 106, 112, 105, 103, 103, 113,      104, 104), storey_order = c(2L, 1L, 4L, 1L, 2L, 1L, 2L, 2L,      3L, 3L, 4L, 3L, 2L, 4L, 3L, 3L, 2L, 5L, 2L, 2L), remaining_lease_mths = c(871,      887, 868, 879, 871, 889, 861, 862, 811, 827, 834, 834, 834,      866, 856, 819, 818, 824, 878, 801), PROX_CBD = c(15.2330821453909,      15.0291078847704, 15.2985874116244, 14.66420827852, 15.428944563277,      14.7712425946156, 15.4019609662575, 15.4019609662575, 14.7472020389823,      15.1039483662242, 15.1256206124729, 15.1256206124729, 15.1256206124729,      15.3605597168545, 15.3605597168545, 14.3801998083441, 14.8805910833212,      14.8805910833212, 14.1313829663274, 13.9224032790502), PROX_ELDERLYCARE = c(1.22808745848404,      1.09928331705025, 1.41400995500373, 0.719957479461771, 1.63977306379889,      0.729534612359916, 1.7026350967472, 1.7026350967472, 1.19052284520552,      1.55233595008815, 1.5866097118695, 1.5866097118695, 1.5866097118695,      1.7630974884403, 1.7630974884403, 0.709377020411434, 1.53481387371296,      1.53481387371296, 0.836104821253693, 0.160860892679658),          PROX_HAWKER = c(1.40985252978436, 1.15922930524208, 1.16406043263713,          1.17971772396452, 1.09717995764468, 1.70286767909083,          0.985391408166863, 0.985391408166863, 0.606039227085063,          0.672854909342646, 0.674198133913936, 0.674198133913936,          0.674198133913936, 0.874437271649647, 0.874437271649647,          0.928921275219278, 0.395563323563994, 0.395563323563994,          0.73352935155883, 1.57003684649171), PROX_MRT = c(1.62235809597188,          1.36685465541241, 1.40304810962874, 1.12495588646837,          1.35104476777798, 1.0665313702167, 1.24252861976923,          1.24252861976923, 0.807097621625513, 0.927742831261867,          0.930587839854138, 0.930587839854138, 0.930587839854138,          1.13238128237287, 1.13238128237287, 1.02650412956774,          0.650195396152393, 0.650195396152393, 0.735653331318593,          0.375491068655226), PROX_PARK = c(0.633472210001671,          0.808345234949979, 0.98341166564854, 0.823954351824118,          1.02148060415503, 0.405128535389849, 0.934356673366442,          0.934356673366442, 0.432698189125414, 0.613453702116727,          0.625625874274951, 0.625625874274951, 0.625625874274951,          0.852232892319188, 0.852232892319188, 0.71485218383349,          0.355836862982211, 0.355836862982211, 0.463826523913091,          0.819174175884815), PROX_GOOD_PRISCH = c(3.56691345353299,          3.36640767040689, 3.64472604970499, 2.99834463762659,          3.79601078940401, 3.13265552080448, 3.78947597459801,          3.78947597459801, 3.13467644284063, 3.51513652285447,          3.54140201350838, 3.54140201350838, 3.54140201350838,          3.77322944876988, 3.77322944876988, 2.72778429145315,          3.33079371618761, 3.33079371618761, 2.52734391167264,          2.26578798898653), PROX_MALL = c(0.253259472709144, 0.486526360127578,          0.597111778941966, 0.669111824361406, 0.809004632748584,          0.541352629222412, 0.656741946143406, 0.656741946143406,          0.738705771798207, 0.472438990852491, 0.445444903624544,          0.445444903624544, 0.445444903624544, 0.502295694435402,          0.502295694435402, 0.949257633150117, 0.390496575840073,          0.390496575840073, 0.66282583229379, 1.34118728457461         ), PROX_CHAS = c(0.210576528602503, 0.228652490110126,          0.0911939042613644, 0.38494516455544, 0.352996738297868,          0.220588325506638, 0.478794864158343, 0.478794864158343,          0.19051372613691, 0.353464796953762, 0.387886097439527,          0.387886097439527, 0.387886097439527, 0.563239471741591,          0.563239471741591, 0.453083161817035, 0.448788349522024,          0.448788349522024, 0.528800676490504, 0.0806372798138111         ), PROX_SUPERMARKET = c(0.21397076195142, 0.234691730121176,          0.408284988301129, 0.384052647553184, 0.252078878715955,          0.49532093691776, 0.1489144838969, 0.1489144838969, 0.326764101800336,          0.429218479578941, 0.411626017932148, 0.411626017932148,          0.411626017932148, 0.187279197917694, 0.187279197917694,          0.513065398645433, 0.447693008221967, 0.447693008221967,          0.528799775767506, 0.189550835904173), WITHIN_350M_KINDERGARTEN = c(3L,          2L, 2L, 1L, 0L, 0L, 0L, 0L, 3L, 2L, 2L, 2L, 2L, 0L, 0L,          0L, 2L, 2L, 0L, 3L), WITHIN_350M_CHILDCARE = c(3L, 3L,          1L, 3L, 2L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L,          3L, 3L, 3L, 3L), WITHIN_350M_BUS = c(12L, 8L, 13L, 7L,          11L, 8L, 9L, 9L, 9L, 7L, 6L, 6L, 6L, 10L, 10L, 2L, 5L,          5L, 6L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          1L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 2L,          3L), DNeighbour = c(0, 275.109313259837, 352.335627511236,          568.733470948006, 608.120318217476, 663.503502877302,          747.05032677784, 748.325964094766, 826.900957203843,          851.126260195511, 871.325739125113, 873.114254290619,          875.318689267005, 886.473961703767, 888.949833470901,          913.447290141493, 1057.81827181937, 1060.14669576348,          1274.29543381911, 1330.74483114621)), row.names = c("428",      "314", "934", "686", "899", "527", "495", "406", "136", "188",      "457", "233", "483", "782", "994", "3", "639", "852", "695",      "219"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.916349252677872,      0.86471235083546, 0.668055300053008, 0.625952583413106, 0.564605624797585,      0.469026646295552, 0.467552382474235, 0.376853985764232,      0.349197403594465, 0.326363357265837, 0.324353479768143,      0.321879105865948, 0.309409486869132, 0.306654196818801,      0.279661424814868, 0.135514537514831, 0.133472007725818,      0.00689554104832035, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       718897298 
R squared (OOB):                  0.1109959 

$Forests[[429]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(388800, 333000, 350000,      380000, 3e+05, 335000, 390000, 562000, 540000, 462000, 680000,      660000, 420000, 735000, 380000, 325000, 347000, 320000, 398000,      340000), floor_area_sqm = c(98, 89, 92, 92, 92, 83, 92, 107,      107, 105, 87, 87, 92, 97, 92, 82, 90, 90, 92, 92), storey_order = c(2L,      1L, 4L, 4L, 2L, 3L, 1L, 7L, 6L, 1L, 6L, 3L, 5L, 6L, 2L, 4L,      5L, 2L, 3L, 1L), remaining_lease_mths = c(697, 692, 688,      693, 691, 687, 685, 957, 969, 965, 1076, 1066, 694, 1066,      687, 666, 672, 672, 714, 699), PROX_CBD = c(10.7178846249378,      10.7178846249378, 10.7428660694501, 10.7273754880637, 10.7273754880637,      10.5501175985891, 10.3184291669162, 10.9472701195372, 11.0486323727393,      10.9320040827019, 10.1126951054664, 10.1126951054664, 10.5902646894981,      9.96973817000633, 10.571248724537, 10.0782341562763, 10.5036676165143,      10.5036676165143, 9.95525560808738, 9.97016469840266), PROX_ELDERLYCARE = c(0.903749132751209,      0.903749132751209, 1.00386291289403, 0.968089576161562, 0.968089576161562,      0.724362239545807, 0.724299376510179, 0.867518349265545,      0.974567200018427, 0.83761180429981, 0.511544492658224, 0.511544492658224,      0.476382036969741, 0.560133969723593, 0.426373779355343,      0.248412112584261, 0.346712236264009, 0.346712236264009,      0.150508443509651, 0.14040561650552), PROX_HAWKER = c(0.131164348467149,      0.131164348467149, 0.19921426515349, 0.259491073356982, 0.259491073356982,      0.496328097640832, 0.285348407142059, 0.429153921265228,      0.436692566666558, 0.499252912381913, 0.268370020499938,      0.268370020499938, 0.142004884371921, 0.246219700947935,      0.155284554597335, 0.250435976222025, 0.255376275980047,      0.255376275980047, 0.153089379504462, 0.15909114400288),          PROX_MRT = c(0.897030842789514, 0.897030842789514, 0.911557541227745,          0.880392787161762, 0.880392787161762, 0.92637591011884,          0.752281430413819, 0.638393210693291, 0.741783227751877,          0.582189406643083, 0.549740095282867, 0.549740095282867,          0.793335563342317, 0.405168801785449, 0.822399768635659,          0.622308556906305, 0.908007357991278, 0.908007357991278,          0.521845664201362, 0.494111782173202), PROX_PARK = c(0.68415716278098,          0.68415716278098, 0.65460215425144, 0.675703893946554,          0.675703893946554, 0.888350706343443, 1.05219739289641,          0.730900012581548, 0.644279497097323, 0.802226928628916,          0.878497256111703, 0.878497256111703, 0.57091664624863,          0.868342722448078, 0.471129460807546, 0.627458410441261,          0.381418159266178, 0.381418159266178, 0.730503149795042,          0.68588072489708), PROX_GOOD_PRISCH = c(1.69245386393467,          1.69245386393467, 1.57772010642862, 1.51964159199475,          1.51964159199475, 1.37609088117382, 1.54472866778257,          1.50789829567152, 1.50173151878208, 1.4460454342776,          1.46177539101005, 1.46177539101005, 0.962114901666907,          1.55873028154778, 0.876989954992127, 1.26151864262594,          0.825686703361669, 0.825686703361669, 2.01039924795066,          1.97396491196204), PROX_MALL = c(0.922177591154216, 0.922177591154216,          0.913300066979642, 0.885934538444454, 0.885934538444454,          0.693136328895784, 0.472532088410597, 1.34630282297423,          1.41292867182356, 1.37776203899083, 0.269774803261538,          0.269774803261538, 0.838333779631814, 0.129560175686973,          0.872531493441133, 0.418279044459304, 0.873995522285645,          0.873995522285645, 0.757457219803541, 0.802483711672914         ), PROX_CHAS = c(0.141741960002869, 0.141741960002869,          0.184868017131885, 0.161497017697243, 0.161497017697243,          0.120595382532287, 0.165961529218061, 0.344403926608958,          0.375455350402476, 0.293630149165848, 0.20472250196774,          0.20472250196774, 0.0950095589968322, 0.0647243745052949,          0.109732367463933, 0.186550674976261, 0.217153936659979,          0.217153936659979, 0.144412947448491, 0.187394625423847         ), PROX_SUPERMARKET = c(0.141741503991008, 0.141741503991008,          0.247977273863763, 0.294310303883692, 0.294310303883692,          0.448117335537485, 0.447507928623339, 0.381194313170787,          0.408205375796458, 0.445162931243089, 0.35798039621586,          0.35798039621586, 0.190547463602814, 0.241122798862169,          0.199099262156692, 0.255147915067147, 0.291549431934698,          0.291549431934698, 0.204623167766534, 0.215556112381702         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 3L, 3L, 3L, 2L,          4L, 0L, 0L, 0L, 6L, 6L, 2L, 6L, 3L, 5L, 2L, 2L, 3L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 5L, 4L, 4L, 6L, 7L, 2L,          2L, 0L, 6L, 6L, 6L, 7L, 5L, 5L, 6L, 6L, 9L, 9L), WITHIN_1KM_PRISCH = c(5L,          5L, 5L, 5L, 5L, 5L, 5L, 4L, 3L, 4L, 3L, 3L, 2L, 2L, 2L,          2L, 2L, 2L, 4L, 4L), DNeighbour = c(0, 11.0409585690747,          112.245808986644, 167.70336545453, 171.974664272336,          383.594293357522, 456.962341697619, 532.332394326171,          551.735287444209, 590.021368515563, 732.56404928185,          742.637862371358, 769.511894154493, 853.211099558971,          870.416936280379, 951.832682336727, 969.398169487321,          976.048046280771, 1012.76607756204, 1026.2909992779)), row.names = c("429",      "914", "43", "651", "648", "778", "97", "255", "630", "671",      "316", "506", "701", "471", "210", "84", "482", "940", "971",      "211"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999768539235537,      0.97621933815327, 0.947309149474136, 0.944629643047233, 0.740112310349889,      0.642798241356895, 0.534295370439594, 0.505499576909037,      0.448206836365751, 0.240583373508144, 0.226941456042995,      0.191670208626358, 0.0953886757084731, 0.0787891751315722,      0.0195547034627515, 0.0116203388285934, 0.00912312164553721,      0.000685561159954093, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8178474615 
R squared (OOB):                  0.5264455 

$Forests[[430]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(630000, 838000, 815000,      760000, 315000, 650000, 545000, 680000, 638000, 680000, 550000,      518000, 515000, 515000, 470000, 445000, 310000, 330000, 480000,      582000), floor_area_sqm = c(101, 91, 91, 91, 87, 86, 86,      86, 105, 76, 105, 84, 110, 103, 84, 84, 82, 82, 94, 104),          storey_order = c(2L, 12L, 11L, 9L, 1L, 3L, 1L, 3L, 3L,          11L, 2L, 3L, 1L, 3L, 3L, 3L, 5L, 4L, 6L, 3L), remaining_lease_mths = c(952,          1106, 1109, 1091, 633, 1018, 1025, 1025, 918, 1071, 786,          781, 859, 823, 813, 647, 656, 657, 725, 935), PROX_CBD = c(5.76616775136128,          5.38577040159704, 5.46273996086224, 5.4124717534787,          5.88382015009973, 5.26278746968545, 5.19905620756448,          5.19905620756448, 5.24252163748666, 5.17664618337401,          6.4090346428634, 6.59778313634683, 5.31333197008925,          6.41432963568309, 6.30150758144434, 4.82546817648507,          5.9699685911294, 6.06674643703895, 4.50933618399607,          5.4901102241405), PROX_ELDERLYCARE = c(0.708186986363007,          0.343873602324804, 0.323825203617813, 0.277453528347438,          0.599695566252105, 0.310343810032976, 0.3148233892717,          0.3148233892717, 0.232760622048558, 0.203403853153192,          0.336883008423279, 0.619464736019043, 0.301885421229742,          0.101150617829923, 0.0580157957368266, 0.401252043911139,          4.28110190953706e-07, 0.10409496222889, 0.665866395733666,          0.157919913507301), PROX_HAWKER = c(0.25612232537118,          0.225377370173431, 0.17988889362956, 0.214745652304629,          0.302293625820731, 0.356302899600742, 0.424686940189847,          0.424686940189847, 0.316098981667774, 0.242990200436355,          0.729024203622067, 1.00589931737343, 0.15027253820603,          0.639366917684312, 0.511576723994062, 0.33634581375869,          0.247906315943116, 0.346985863757343, 0.665007751295857,          0.258924665495), PROX_MRT = c(0.0934691468297738, 0.452916639575337,          0.495510769155532, 0.525678460826462, 0.37771060533367,          0.321982757522174, 0.253583166891469, 0.253583166891469,          0.353807427048722, 0.347215067697513, 0.631935879685516,          0.372865816575034, 0.839256513816073, 0.753240517287136,          0.911216039334219, 0.437510974512092, 1.03854772657135,          1.1005845300218, 0.549595780709265, 1.30755754576723),          PROX_PARK = c(1.02675087524374, 0.680409922157526, 0.816564732509704,          0.766524211973089, 1.09766236241216, 0.550000337404237,          0.482110245392283, 0.482110245392283, 0.540897442657821,          0.502895249788983, 0.73120409495038, 0.432673847047101,          0.919693677764514, 0.941128983241434, 0.950460734805334,          0.386749503328341, 0.792968228054446, 0.741200181243785,          0.353281501558379, 0.803347187860442), PROX_GOOD_PRISCH = c(1.65694818911091,          2.04281306492033, 1.99475835919692, 2.04167837943161,          1.61186682958131, 2.16237499594262, 2.22494939608982,          2.22494939608982, 2.20280244575696, 2.27859573799937,          1.19038460547274, 0.909917905905181, 2.32631552336422,          1.35156641752108, 1.50990256016426, 2.65585299610189,          1.89588922913119, 1.85819018299306, 2.94429219434277,          2.45379201830723), PROX_MALL = c(0.834887080030876, 0.513452616263142,          0.68208602871978, 0.636573036587929, 0.966526596905427,          0.38523327442887, 0.31885342913617, 0.31885342913617,          0.315823950773482, 0.285366785950761, 0.56447134405004,          0.324462922438517, 0.752077094160308, 0.713954983197348,          0.872189526609738, 0.337875853585261, 1.25835483053691,          1.22044581333525, 0.485349818185599, 1.21674302842157         ), PROX_CHAS = c(0.143086854941205, 0.180097972613039,          0.185272865297861, 0.208534953207918, 0.256579842259861,          0.188692357663819, 0.211748617283041, 0.211748617283041,          0.0731998871787336, 0.0737889624358689, 0.141339892509329,          0.0558741615176373, 0.111194343620761, 0.15014885052256,          0.0940735950578242, 0.315432137833306, 0.21461630683628,          0.252393584019624, 0.331046161101227, 0.233242749827373         ), PROX_SUPERMARKET = c(0.318319510093507, 0.397689630461078,          0.544212695479659, 0.496000676868079, 0.27867057765081,          0.267150206458008, 0.199301193911681, 0.199301193911681,          0.266280670019211, 0.177322353300672, 0.360911693423373,          0.173430033183904, 0.370675298005651, 0.519047869620273,          0.469210677159174, 0.0907256678718214, 0.227231659318009,          0.321431524942613, 0.325943517329761, 0.37596142908425         ), WITHIN_350M_KINDERGARTEN = c(2L, 4L, 1L, 1L, 1L, 4L,          4L, 4L, 3L, 1L, 0L, 1L, 1L, 2L, 2L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 7L, 4L, 4L, 4L, 5L,          6L, 6L, 5L, 7L, 5L, 3L, 3L, 4L, 4L, 2L, 2L, 2L, 1L, 3L         ), WITHIN_350M_BUS = c(8L, 8L, 8L, 7L, 8L, 9L, 9L, 9L,          10L, 9L, 9L, 7L, 12L, 7L, 7L, 8L, 8L, 6L, 5L, 10L), WITHIN_1KM_PRISCH = c(4L,          3L, 3L, 3L, 4L, 3L, 3L, 3L, 4L, 4L, 3L, 2L, 3L, 3L, 4L,          2L, 4L, 5L, 0L, 3L), DNeighbour = c(0, 393.170530392654,          437.424061682392, 454.748586299144, 454.829502566429,          504.660471254214, 566.03906220666, 569.951798253777,          605.185649890176, 685.248048309503, 855.345052025393,          908.809185142493, 986.753417410136, 1042.03040770588,          1054.48476195033, 1069.70435296181, 1111.52571473881,          1181.98923967013, 1317.93609780306, 1380.4054210135)), row.names = c("430",      "116", "75", "436", "201", "199", "533", "181", "472", "897",      "269", "957", "279", "114", "417", "288", "920", "628", "622",      "307"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.84433336149572,      0.809255904082146, 0.794727850079627, 0.794658986067541,      0.750553629552362, 0.691985616636151, 0.688110263564304,      0.652533298585263, 0.567877386900044, 0.379523364038392,      0.320986710377191, 0.239140486704424, 0.185043787739593,      0.173442654834529, 0.159598921900643, 0.123640712310049,      0.0711900980325947, 0.00782529662267825, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10721052484 
R squared (OOB):                  0.5367804 

$Forests[[431]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(314000, 335000, 297000,      330000, 315000, 325000, 320000, 375000, 335000, 3e+05, 392000,      343000, 388000, 363000, 417000, 340888, 355000, 335000, 333000,      491000), floor_area_sqm = c(91, 90, 90, 91, 90, 90, 91, 108,      105, 106, 113, 107, 104, 104, 92, 107, 104, 114, 108, 92),          storey_order = c(3L, 3L, 2L, 1L, 5L, 5L, 8L, 2L, 2L,          2L, 2L, 2L, 6L, 5L, 2L, 4L, 4L, 3L, 4L, 9L), remaining_lease_mths = c(985,          979, 995, 987, 1001, 992, 995, 909, 938, 941, 933, 907,          904, 918, 1120, 883, 882, 904, 895, 1137), PROX_CBD = c(17.0716695500607,          17.0600275230943, 16.901501451739, 17.2817356498826,          16.8082045368238, 17.2610384590751, 16.7093180086981,          16.9875722318911, 17.3741762112269, 17.3741762112269,          16.6579104452557, 17.2160129653012, 16.3777502460772,          16.295166477654, 16.7161737209409, 16.7669966667855,          16.7669966667855, 16.3642048862006, 16.5397910410307,          15.0782917837809), PROX_ELDERLYCARE = c(1.21621641692937,          1.09431476347566, 1.16689850532437, 1.19353475005496,          1.15380285023885, 1.12094638660826, 0.935779967581661,          0.636322412867891, 0.815153211361198, 0.815153211361198,          0.409372351007212, 0.574386357445605, 0.465083314136851,          0.514795208711411, 9.26628957858198e-07, 0.121542639162494,          0.121542639162494, 0.361422596457277, 0.706939892416911,          0.811417024562957), PROX_HAWKER = c(2.2102134433082,          2.18272534115171, 2.0413146444202, 2.40388099430384,          1.94950915107796, 2.37726799660773, 1.82495077083007,          2.10596394293278, 2.50067722531469, 2.50067722531469,          1.80129318596364, 2.37357884684332, 1.54627052523026,          1.47281657351752, 1.96687058888139, 2.05474291859885,          2.05474291859885, 1.67761333691466, 2.14655926815246,          0.241120378832392), PROX_MRT = c(0.793158171270894, 0.673816738147829,          0.740013435080822, 0.797812759521718, 0.730447684580082,          0.729621307242001, 0.522077155701705, 0.252669932820992,          0.590831178240684, 0.590831178240684, 0.128609360773056,          0.453815632281196, 0.419412974707088, 0.504795745143921,          0.427108887982576, 0.53300655679357, 0.53300655679357,          0.653367521351592, 0.460645764817668, 0.604690005035212         ), PROX_PARK = c(1.59669720594139, 1.5130077643247, 1.46267930314228,          1.70244245234235, 1.39545287332227, 1.64853798443183,          1.17885821480356, 1.18807543108152, 1.47164498360674,          1.47164498360674, 0.826869373992433, 1.24959985284921,          0.571339732684777, 0.48638578612152, 0.688779163701323,          0.722711239268322, 0.722711239268322, 0.32735774848914,          0.711243459523284, 0.889047622652367), PROX_GOOD_PRISCH = c(7.82238149093771,          7.76907239486735, 7.66085245964853, 7.98012169831377,          7.5739079893598, 7.93716312588154, 7.40748446052123,          7.55033959010056, 7.888904100652, 7.888904100652, 7.18541951227303,          7.68034428555912, 6.89348817522951, 6.80828229467371,          7.12110535783693, 7.13952904562396, 7.13952904562396,          6.76031366250815, 6.77397603493671, 5.77803713337603),          PROX_MALL = c(0.719585865775528, 0.597930181439745, 0.678684538412688,          0.713200150273906, 0.677813655888015, 0.644198936007264,          0.484270435079706, 0.165557901737932, 0.521008948961951,          0.521008948961951, 0.168053149288668, 0.413606644895247,          0.427317836890542, 0.510483215269896, 0.337595745740984,          0.27529824968273, 0.27529824968273, 0.388175183991252,          0.345326846187852, 0.79347213158724), PROX_CHAS = c(0.760340467100735,          0.638199243310692, 0.720584477651296, 0.748586514709626,          0.71936188995133, 0.678651577140463, 0.52365796939069,          0.194474796894964, 0.524369302913132, 0.524369302913132,          0.170995488718356, 0.303266380929536, 0.429996386722335,          0.513107963149175, 0.279591917356114, 0.222759343861358,          0.222759343861358, 0.380772978950647, 0.286223989121013,          0.128222338920945), PROX_SUPERMARKET = c(0.837223205851576,          0.718466194952364, 0.780695486504835, 0.842475689687135,          0.768274584157999, 0.771245719522698, 0.555366708418936,          0.284398337107734, 0.559408220033625, 0.559408220033625,          0.103652200866821, 0.387759857324111, 0.386156989530241,          0.471223408024363, 0.344537051235884, 0.243987988302975,          0.243987988302975, 0.422789252098693, 0.377165028023417,          0.286089695736963), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L,          2L, 2L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          1L, 3L, 1L, 3L, 1L, 4L, 4L, 4L, 5L, 5L, 3L, 3L, 6L, 5L,          5L, 4L, 1L, 3L), WITHIN_350M_BUS = c(5L, 7L, 7L, 5L,          9L, 5L, 8L, 11L, 2L, 2L, 9L, 5L, 8L, 7L, 12L, 11L, 11L,          6L, 2L, 10L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L,          2L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 3L, 3L, 3L, 3L,          4L), DNeighbour = c(0, 129.495321752182, 163.232225641485,          250.631907508478, 261.186435637581, 276.28359294962,          421.856296291936, 599.520715822762, 767.667281342435,          770.732210252196, 865.012327502413, 911.89803609114,          1086.42971039815, 1152.7343539326, 1217.69882975131,          1316.98835638204, 1320.734002987, 1424.19888175156, 1925.56624967584,          2061.52222328326)), row.names = c("431", "208", "416",      "127", "121", "525", "156", "125", "822", "813", "918", "326",      "820", "451", "261", "673", "898", "252", "498", "568"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.992124022769225, 0.987500224690437, 0.970656956775911,      0.968153954402283, 0.964400302195004, 0.918003846529304,      0.838006374647609, 0.741896241800635, 0.739986233387273,      0.678871876631439, 0.646952348465478, 0.52166985921463, 0.472426272755776,      0.423928316197567, 0.350321988958306, 0.347575424533504,      0.273245386144369, 0.0162688273572466, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1669692637 
R squared (OOB):                  0.191685 

$Forests[[432]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 375000, 407000,      510000, 5e+05, 537000, 476000, 475000, 620000, 680000, 680000,      8e+05, 685000, 753000, 688000, 660000, 580000, 748000, 945500,      912000), floor_area_sqm = c(82, 82, 82, 93, 103, 106, 103,      103, 103, 85, 91, 90, 93, 87, 85, 90, 100, 107, 87, 87),          storey_order = c(2L, 3L, 5L, 4L, 1L, 4L, 2L, 2L, 2L,          2L, 3L, 7L, 4L, 5L, 4L, 10L, 4L, 2L, 8L, 3L), remaining_lease_mths = c(656,          645, 661, 746, 773, 760, 774, 781, 911, 1066, 984, 1063,          1115, 1104, 964, 993, 1013, 899, 1143, 1142), PROX_CBD = c(3.73116287154914,          3.68559345068932, 3.63085360417079, 3.46549777590634,          3.24578829573265, 3.12641734116327, 3.09516181063763,          3.09516181063763, 2.86182045335715, 2.96405104980333,          2.86455481676114, 2.97610984462207, 2.56060478168524,          2.5775653440094, 3.98134497452694, 5.00856672458725,          4.79843685927635, 2.52364731081334, 2.51922626320824,          2.51922626320824), PROX_ELDERLYCARE = c(0.501456868829436,          0.466665237090727, 0.233260955843543, 0.22080460703487,          0.461566734593474, 0.570344367187993, 0.614909460801077,          0.614909460801077, 0.334062202372697, 0.206690358794928,          0.111411798512938, 0.249991250520312, 0.303984777605612,          0.283170941801308, 0.168717999980802, 0.403456137693205,          0.72206466606869, 0.132133546591398, 1.25853619714168e-06,          1.25853619714168e-06), PROX_HAWKER = c(0.311969910328466,          0.28293755865871, 0.0974836441417274, 0.288924403117312,          0.461305554076076, 0.582032517556358, 0.524942013349153,          0.524942013349153, 0.231089093207534, 0.344572110572533,          0.302651224916382, 0.405863058813757, 0.450094806637729,          0.447120961378381, 0.262344394473714, 0.327438715714418,          0.669525197575465, 0.315417458803045, 0.187177165934232,          0.187177165934232), PROX_MRT = c(1.10221151459309, 1.17490863944549,          0.897060452829867, 0.855873415641472, 1.11057161001852,          1.19588154804183, 1.19880844528061, 1.19880844528061,          0.819080841065402, 0.377919714857806, 0.391395986196982,          0.337225216160626, 0.546591463865751, 0.499107329029013,          0.310254962870727, 0.699181106494864, 1.13446368103879,          0.277076743329557, 0.243725266054354, 0.243725266054354         ), PROX_PARK = c(0.271761978726623, 0.304435062988112,          0.512523364266062, 0.78484111030831, 0.856773721705297,          0.971029675538415, 0.971409228458194, 0.971409228458194,          0.609617368578913, 0.495024008458079, 0.399002951856213,          0.4671588721782, 0.21329655328302, 0.18481391877062,          0.894232249415992, 0.344858191728297, 0.279857584881724,          0.163253442595557, 0.28862748451296, 0.28862748451296         ), PROX_GOOD_PRISCH = c(5.22570836776045, 5.15997579188296,          5.4842432173218, 5.67094725420518, 5.51078547454581,          5.52416256345089, 5.46565510857314, 5.46565510857314,          5.1514664212482, 4.62297298452196, 4.71207116352008,          4.56048774292729, 4.93746215949662, 4.89009258041755,          3.868083844602, 4.86324650242379, 4.40925832010736, 4.61812725480087,          4.50145006484821, 4.50145006484821), PROX_MALL = c(1.41171259857663,          1.3376464242075, 1.51733094855201, 1.56665946009711,          1.33172083977874, 1.29251563056945, 1.2281628510896,          1.2281628510896, 0.848351644608041, 0.404565296260845,          0.420489734799516, 0.362094853274792, 0.572150632107275,          0.524781909718914, 1.18273225000282, 1.20968740927381,          0.830412122132217, 0.290995843291254, 0.244046547559164,          0.244046547559164), PROX_CHAS = c(0.261237260735983,          0.216565147674259, 0.318203164684035, 0.173647795570322,          0.0869328465249217, 0.202999736112437, 0.240903750709302,          0.240903750709302, 0.159666076311523, 0.0506108453744785,          0.110042750971165, 0.111500209373212, 0.0640474788759872,          0.0301364724824846, 0.145112311632742, 0.358299181925541,          0.120011087306801, 0.0122221533760307, 0.0462846720247782,          0.0462846720247782), PROX_SUPERMARKET = c(0.301923436189205,          0.252487697752149, 0.318204198369299, 0.173649067116538,          0.0869315055470345, 0.202998478162502, 0.240902416159861,          0.240902416159861, 0.360029455717415, 0.0506107476035619,          0.110042446678578, 0.111500172768761, 0.315915165677582,          0.275738565320567, 0.252387257990654, 0.395196557309087,          0.0907294343182455, 0.0373112013983995, 0.169442491353445,          0.169442491353445), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L,          1L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 4L, 3L, 4L, 4L, 3L, 1L,          2L, 6L, 4L, 4L), WITHIN_350M_BUS = c(9L, 10L, 11L, 9L,          6L, 5L, 4L, 4L, 4L, 7L, 7L, 4L, 3L, 3L, 12L, 7L, 6L,          6L, 4L, 4L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L,          2L, 3L, 3L, 3L, 4L, 4L, 3L, 3L, 2L, 1L, 1L, 2L, 2L, 2L,          2L), DNeighbour = c(0, 82.300282831081, 286.232763219779,          553.512662257698, 593.322796863638, 701.372555483784,          701.96130837767, 702.808434688752, 874.799336483488,          1014.89067050027, 1043.3746546195, 1057.24438033734,          1228.64020381463, 1230.87738774183, 1375.20585891759,          1403.14941148661, 1411.0766533865, 1448.00060713986,          1538.35173106711, 1538.8186764839)), row.names = c("432",      "683", "742", "454", "192", "48", "126", "134", "561", "389",      "968", "319", "390", "999", "375", "515", "610", "65", "816",      "550"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994287368901313,      0.931999053535743, 0.75797240111514, 0.724772192599428, 0.627674004024511,      0.627121264416371, 0.626325569922341, 0.458087814550893,      0.319254013070461, 0.291888443510103, 0.27874512231322, 0.131412254220043,      0.129732945654972, 0.0405388347284105, 0.028411166471228,      0.0253239237942985, 0.0131223805737074, 3.6820148352394e-07,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11872990254 
R squared (OOB):                  0.5725062 

$Forests[[433]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(279000, 305000, 316000,      318000, 375000, 3e+05, 297000, 325000, 370000, 355000, 359900,      245000, 282000, 272000, 380000, 303000, 350000, 298000, 303888,      330000), floor_area_sqm = c(91, 91, 92, 91, 92, 96, 91, 91,      93, 93, 93, 88, 84, 89, 105, 92, 103, 93, 93, 103), storey_order = c(2L,      4L, 3L, 1L, 4L, 4L, 3L, 4L, 5L, 3L, 3L, 2L, 1L, 2L, 2L, 1L,      4L, 1L, 2L, 2L), remaining_lease_mths = c(801, 791, 781,      765, 783, 791, 788, 780, 1106, 1111, 1117, 668, 836, 882,      910, 794, 768, 777, 782, 773), PROX_CBD = c(18.2989051402725,      18.2610111258248, 18.2234963781047, 18.2234963781047, 18.1857629477019,      18.5761736305699, 18.1476771148045, 18.1476771148045, 18.8127816342995,      18.8127816342995, 18.8127816342995, 18.8842060529579, 18.5087583118065,      17.8554664137964, 17.589085398281, 18.2139172788048, 18.3186881593276,      18.5252470382495, 18.5252470382495, 18.4499801912104), PROX_ELDERLYCARE = c(0.397078044127006,      0.421521882373529, 0.448333702611612, 0.448333702611612,      0.47723779098819, 0.0638277150498875, 0.519546459890619,      0.519546459890619, 0.176499517448139, 0.176499517448139,      0.176499517448139, 0.229103995883471, 0.855934448185717,      0.800501761367975, 0.387351173411546, 0.649170232100017,      0.586525817031338, 0.449194476018676, 0.449194476018676,      0.504778052376495), PROX_HAWKER = c(0.491047773869601, 0.453171307776496,      0.416527045274471, 0.416527045274471, 0.380157991945912,      0.562029876499453, 0.209390724873544, 0.209390724873544,      0.325560722493799, 0.325560722493799, 0.325560722493799,      0.280513302960552, 1.00705768005988, 0.203123967436651, 0.776912813652288,      0.488031980714328, 0.564283191409187, 0.69553534809229, 0.69553534809229,      0.652207052169444), PROX_MRT = c(0.552168886353884, 0.547550551918807,      0.545975779093886, 0.545975779093886, 0.548087095608087,      0.874368880716004, 0.491311596778589, 0.491311596778589,      1.04083770509984, 1.04083770509984, 1.04083770509984, 1.03601464731326,      0.534460782086299, 0.555370291384357, 0.371614593402704,      0.192826481399443, 0.220618943711049, 0.398456142880405,      0.398456142880405, 0.322534237265928), PROX_PARK = c(0.287159802467115,      0.272660801967067, 0.264257474455249, 0.264257474455249,      0.261695126667213, 0.287868908027907, 0.270911567278729,      0.270911567278729, 0.51923222906617, 0.51923222906617, 0.51923222906617,      0.579556587207627, 0.516289874277036, 0.515057634059466,      0.925923962472294, 0.532358306258428, 0.548488124002706,      0.491317901173298, 0.491317901173298, 0.536975621309476),          PROX_GOOD_PRISCH = c(9.19982386356694, 9.16752282736586,          9.1355701416359, 9.1355701416359, 9.10363750169146, 9.51590189269927,          9.18618174729203, 9.18618174729203, 9.7422556358987,          9.7422556358987, 9.7422556358987, 9.83133063879426, 9.25922423900801,          8.91472106998272, 8.43639308613493, 9.33501569353139,          9.44179125712709, 9.63394268044443, 9.63394268044443,          9.56762880935522), PROX_MALL = c(0.486326630506135, 0.448092738738542,          0.411037179701155, 0.411037179701155, 0.374195605351922,          0.624506085881379, 0.218975149940797, 0.218975149940797,          0.856774663098642, 0.856774663098642, 0.856774663098642,          0.91348864249693, 0.521454353681198, 0.208298160410803,          0.232188905247248, 0.498813518897969, 0.574856358668165,          0.705200807731176, 0.705200807731176, 0.662291407978718         ), PROX_CHAS = c(0.0660681856594747, 0.0964740211655948,          0.132763801624598, 0.132763801624598, 0.172021358032342,          0.0792988689034794, 0.218975205360203, 0.218975205360203,          0.2593611752042, 0.2593611752042, 0.2593611752042, 0.241229981070425,          0.521454374874156, 0.208298146952687, 0.0713809516165408,          0.0363398547195702, 0.141159289664064, 0.240425442805127,          0.240425442805127, 0.201478871858691), PROX_SUPERMARKET = c(0.490326509583637,          0.457654559995222, 0.421116980529575, 0.421116980529575,          0.38486207983901, 0.625539331690589, 0.206881250620068,          0.206881250620068, 0.856773769273042, 0.856773769273042,          0.856773769273042, 0.911876453557648, 0.521454611985023,          0.19872598136169, 0.238177195426237, 0.186956242757619,          0.210011389308567, 0.386130046709882, 0.386130046709882,          0.310351384739933), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 5L, 2L, 5L,          4L, 1L, 1L, 2L), WITHIN_350M_BUS = c(6L, 6L, 6L, 6L,          4L, 10L, 7L, 7L, 16L, 16L, 16L, 13L, 4L, 10L, 8L, 9L,          10L, 8L, 8L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 2L, 3L, 3L, 1L, 1L, 1L, 1L, 4L, 3L, 5L, 2L, 2L, 2L,          2L, 2L), DNeighbour = c(0, 41.4009086863276, 82.9384056407,          85.2561520463905, 128.88266749177, 336.663227627425,          525.437891954135, 527.574373033142, 537.40724266078,          542.564152995292, 545.999418431623, 643.701071644941,          664.81952517423, 698.51748748855, 771.960639041324, 812.399493420395,          833.100416666173, 842.385772883315, 846.189314350491,          852.744699726281)), row.names = c("433", "905", "202",      "47", "733", "78", "827", "944", "637", "418", "604", "96",      "393", "467", "464", "481", "367", "11", "106", "810"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.995291316053852, 0.981170260948977, 0.980108505635296,      0.954836025188949, 0.712561047919538, 0.384811003342263,      0.380982193339378, 0.363412238688801, 0.354236818578861,      0.348141834146574, 0.185063052101679, 0.153811203256842,      0.108247111190719, 0.0325780030380718, 0.00853515594968065,      0.00207410909699676, 0.000583122339042715, 0.000234570483902185,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1271537131 
R squared (OOB):                  0.07655502 

$Forests[[434]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(460000, 455000, 475000,      485000, 465000, 455000, 460000, 470000, 450000, 450000, 452000,      420000, 412000, 403000, 490888, 437000, 435000, 450000, 465000,      545000), floor_area_sqm = c(92, 92, 92, 95, 95, 93, 92, 93,      95, 94, 95, 93, 90, 90, 93, 94, 94, 90, 90, 93), storey_order = c(3L,      5L, 5L, 6L, 4L, 4L, 3L, 5L, 3L, 4L, 3L, 1L, 3L, 3L, 5L, 3L,      2L, 2L, 5L, 3L), remaining_lease_mths = c(1097, 1108, 1098,      1113, 1110, 1096, 1107, 1125, 1126, 1123, 1121, 1101, 1034,      1053, 1141, 1120, 1113, 1134, 1132, 1134), PROX_CBD = c(14.2694643570804,      14.2694643570804, 14.3437499696049, 14.2445424628862, 14.3101587663686,      14.3469943525049, 14.2518409016409, 14.2374266118925, 14.1366846915735,      14.0429369190019, 14.2856092918761, 14.3298082323417, 13.9701294998534,      14.2313196249897, 14.4799585140632, 14.0691382395842, 14.0214886887106,      14.6796515041342, 14.6796515041342, 14.4432157047801), PROX_ELDERLYCARE = c(1.14423906696184,      1.14423906696184, 1.14464302293932, 1.24643506877499, 1.29024298571696,      1.07571195137499, 0.985840321219444, 1.2819446304668, 1.17371591683522,      1.1015647640471, 1.29536834443332, 0.943112693551276, 0.798789790509628,      1.23431696680562, 1.06862824267944, 1.08280856328681, 1.04333655871926,      1.45102259724198, 1.45102259724198, 1.44181352445962), PROX_HAWKER = c(0.826638245470088,      0.826638245470088, 0.74882220835846, 0.968852406622053, 0.961388959141492,      0.654543769257927, 0.656651462258042, 1.02089221118434, 1.09084844555913,      1.07710025413616, 1.14967766552968, 0.494981643036057, 0.796241674024292,      1.20453145676494, 0.462243392197612, 1.21079813450924, 1.2014358291776,      0.836784965651702, 0.836784965651702, 1.1926703176924), PROX_MRT = c(0.30438768875815,      0.30438768875815, 0.217663394995295, 0.184117552261459, 0.148967878322013,      0.131478587775223, 0.189142279194464, 0.148741201515391,      0.218319465176875, 0.324573358240557, 0.0748886383392391,      0.122691316210064, 0.262922949537813, 0.14509881944895, 0.082651796212049,      0.281224364060027, 0.325652198483679, 0.391052893274669,      0.391052893274669, 0.142722405117506), PROX_PARK = c(0.599699049952129,      0.599699049952129, 0.636899975343007, 0.481320095248247,      0.444639968372477, 0.731552922713316, 0.785709089572823,      0.440474428767772, 0.474063272255088, 0.58019258504408, 0.297003339879563,      0.760551135167525, 0.929619749314005, 0.30799989212087, 0.682350458092963,      0.468913262301943, 0.524931496780237, 0.566439778554251,      0.566439778554251, 0.164631246691225), PROX_GOOD_PRISCH = c(5.12184985907385,      5.12184985907385, 5.1680916684458, 5.1542412945362, 5.21803047984022,      5.13548460888622, 5.03443000866885, 5.16870486361587, 5.09375212835948,      4.9857651679507, 5.27158847877433, 5.05687720866847, 4.76155598853922,      5.24106386657147, 5.20136656590841, 5.07622831499557, 5.02043421457898,      5.51577006817018, 5.51577006817018, 5.44062149940817), PROX_MALL = c(0.351657486288216,      0.351657486288216, 0.38589862433106, 0.248497232357685, 0.199960318099191,      0.480981762762808, 0.535261743386166, 0.22058685557285, 0.295276560881227,      0.401409437181884, 0.136646142991964, 0.644100917109673,      0.698652085628877, 0.200492724858517, 0.64848155368644, 0.352184781664103,      0.399157770965225, 0.38618207223371, 0.38618207223371, 0.0864828813466827     ), PROX_CHAS = c(0.120456720485379, 0.120456720485379, 0.0401042229543167,      0.185564313785613, 0.199960275799137, 0.0578525184286013,      0.121511881264649, 0.177995101264401, 0.0995517477546361,      0.0207330025336023, 0.136646133179357, 0.116678641770301,      0.224338502615803, 0.200492722653611, 0.149921511006425,      0.167321001424632, 0.142774662207743, 0.367772140885018,      0.367772140885018, 0.0864829242311455), PROX_SUPERMARKET = c(0.244158473149448,      0.244158473149448, 0.165776473264822, 0.185564776027004,      0.199173279096103, 0.0704323341151683, 0.121511691834874,      0.177995229543633, 0.0995512052866983, 0.0207321820187816,      0.146294584623949, 0.116679779166118, 0.281017798180362,      0.210915135620544, 0.149922203205158, 0.167319845962294,      0.142773459146917, 0.0442147517112349, 0.0442147517112349,      0.0916346746399726), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 1L, 1L, 1L, 2L, 0L, 0L, 1L, 0L, 2L, 2L, 0L, 1L, 1L, 1L,      1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(10L, 10L, 8L, 9L,      8L, 7L, 10L, 8L, 8L, 6L, 6L, 7L, 7L, 6L, 6L, 8L, 6L, 4L,      4L, 4L), WITHIN_350M_BUS = c(9L, 9L, 8L, 7L, 6L, 8L, 9L,      6L, 8L, 9L, 8L, 9L, 13L, 6L, 6L, 9L, 9L, 4L, 4L, 5L), WITHIN_1KM_PRISCH = c(6L,      6L, 5L, 7L, 7L, 4L, 6L, 7L, 7L, 7L, 7L, 5L, 8L, 6L, 4L, 7L,      7L, 4L, 4L, 5L), DNeighbour = c(0, 5.10743607085457, 94.9817491662135,      144.830000065009, 159.184371308655, 179.053683342684, 193.372945265977,      198.369322680882, 265.801384073847, 290.43697598989, 332.819760753786,      338.211887302074, 369.188108889243, 385.11750079213, 388.139231902357,      392.846054336548, 396.262569867646, 408.401580706988, 408.961024211611,      433.796409276353)), row.names = c("434", "470", "70", "349",      "142", "488", "73", "537", "76", "754", "32", "688", "301",      "283", "979", "57", "878", "405", "996", "240"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99972277405914, 0.906416059506673, 0.78949141967336, 0.748818500818739,      0.688284967252909, 0.642065814415948, 0.62550523032727, 0.39007300235936,      0.304414840739753, 0.169220916847654, 0.153771293979304,      0.0760058754284306, 0.0448760215581067, 0.0397694818267096,      0.0323598836010499, 0.027410696778707, 0.0129174015610062,      0.0123709533249603, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       874675003 
R squared (OOB):                  0.06045112 

$Forests[[435]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 315000, 380000,      366800, 480000, 445000, 323000, 635000, 348000, 338000, 592000,      309000, 518000, 345000, 330000, 394000, 492000, 515000, 550000,      388000), floor_area_sqm = c(100, 91, 103, 105, 104, 100,      92, 105, 93, 93, 108, 91, 88, 91, 84, 102, 84, 105, 105,      104), storey_order = c(4L, 1L, 1L, 2L, 2L, 3L, 2L, 4L, 4L,      5L, 2L, 2L, 3L, 3L, 3L, 2L, 4L, 2L, 3L, 3L), remaining_lease_mths = c(931,      722, 923, 761, 777, 949, 690, 833, 777, 860, 810, 774, 770,      773, 791, 769, 788, 762, 786, 751), PROX_CBD = c(8.15573636625741,      8.21547938057256, 8.21483984631558, 8.5913881835975, 8.81196120759187,      9.38671442358298, 9.445702961959, 7.22087947204147, 9.5834162789491,      9.71808261065178, 7.18468073982128, 9.64616581570663, 7.79515244158294,      9.63489497584329, 9.73525531751342, 6.11041994069873, 7.5632891932167,      7.9455961592131, 7.59960912304084, 10.2659136784881), PROX_ELDERLYCARE = c(0.30639563225599,      0.425001866306461, 0.287120499253456, 0.675108088860868,      0.68560621126507, 0.197320443098403, 0.0646727834979237,      1.54373359073656, 0.221128007339761, 0.288600487645686, 1.63490637838594,      0.306199433665808, 1.83577537822547, 0.42629854090558, 0.869795033999967,      0.700949857098155, 1.91313469252559, 1.77517839654503, 1.85656629786719,      0.737818764037149), PROX_HAWKER = c(0.288074572046437, 0.272525769496456,      0.248204869380096, 0.151496134675632, 0.290355020850324,      0.671765492644128, 0.802499530175562, 1.05968958012269, 0.844035637065003,      1.10941781168001, 1.02937341390922, 0.906506968115566, 1.19066876388205,      0.908741650371918, 0.687117415591119, 0.917579692245523,      1.10032443578502, 0.800389309546525, 1.04404154823438, 1.65941342147148     ), PROX_MRT = c(0.998476915081282, 0.877462529610437, 1.08736551837768,      0.864705124656065, 0.425157896719621, 0.671695564859285,      0.834535111428891, 0.206889953987817, 0.679762822214213,      0.750225097750018, 0.13577722868059, 0.626377719466395, 0.499752126280618,      0.669484450879797, 0.86810604264512, 0.781870827245549, 0.433934859087748,      0.75069701440163, 0.492673618184051, 0.684374477874155),          PROX_PARK = c(0.465482353353317, 0.34344129155164, 0.587773758099403,          0.545921527880028, 0.468007817587664, 0.409638708762546,          0.508498628446561, 0.769170147627311, 0.171128410914521,          0.552878075981585, 0.802458220215738, 0.106198450905693,          0.723268787935639, 0.197084482081202, 0.452373350223662,          0.263971642616293, 0.474041874627479, 0.364839433462782,          0.415297912555755, 0.570788416471153), PROX_GOOD_PRISCH = c(2.76944558246381,          2.64672046335999, 2.8757656049093, 2.65365036334729,          2.18636815139252, 1.96445822173508, 2.16640973416033,          2.65891054731874, 1.81796659730331, 2.3197363622043,          2.6636605310312, 1.71137279935344, 1.9917971907287, 1.59153495480405,          1.15234422615158, 4.13214763824822, 2.17804686625686,          1.79538098544694, 2.14133679267892, 2.58742850928016),          PROX_MALL = c(0.92903564794814, 0.807676293785945, 1.020621498239,          0.81045000642783, 0.389401354829447, 0.704978058880463,          0.855253012280219, 0.389192825268572, 0.812301361871699,          0.64580888250568, 0.319563922107573, 0.808294932987377,          0.483735594398556, 0.873569112263515, 0.907839978504126,          1.32133984316634, 0.413593098419561, 0.730136421618933,          0.472342316185911, 0.364765391124967), PROX_CHAS = c(0.211513021624011,          0.136581974857907, 0.132091194783373, 0.0629474356823598,          0.210741683871549, 0.181909444046462, 0.378465676389041,          0.201367273106442, 0.334146331647452, 0.122290728478786,          0.244287808759251, 0.415210445937219, 0.157541179554435,          0.454068185577158, 0.116614388177292, 0.235562548335707,          5.15903103580734e-08, 0.312128892467037, 0.0587537711423344,          0.204257711541377), PROX_SUPERMARKET = c(0.324462496048725,          0.281285688066644, 0.249780587504203, 0.140831249897628,          0.365648379234028, 0.448356351676465, 0.234896025437738,          0.425467495913439, 0.581458245406798, 0.190117050177684,          0.350395790631763, 0.675617328849562, 0.305647853022819,          0.717910522287554, 0.458729641056945, 0.174913922147584,          0.0709823460282706, 0.390939423908347, 0.121599745844786,          0.384238743245603), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 1L, 2L, 2L, 3L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          1L, 0L, 3L, 3L, 3L, 7L, 3L, 2L, 6L, 1L, 2L, 1L, 2L, 1L,          4L, 4L, 5L, 6L), WITHIN_350M_BUS = c(8L, 8L, 8L, 8L,          7L, 9L, 10L, 11L, 7L, 6L, 12L, 8L, 10L, 5L, 10L, 4L,          9L, 7L, 8L, 8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L,          1L, 2L, 2L, 1L, 4L, 2L, 1L, 4L, 2L, 3L, 4L, 1L, 3L, 3L,          4L, 2L), DNeighbour = c(0, 120.382807665551, 163.067412946658,          441.738917736666, 745.224571910937, 1312.87801180397,          1322.49871305108, 1509.49142838424, 1550.78010109817,          1574.23842962461, 1599.55656585481, 1650.26772507265,          1685.46031806945, 1685.8096314243, 1998.13277304943,          2042.83253810282, 2047.08734805977, 2047.52560245751,          2086.12229804054, 2112.53083051379)), row.names = c("435",      "691", "60", "894", "465", "373", "67", "344", "799", "624",      "370", "785", "209", "273", "921", "135", "829", "345", "735",      "77"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.993515938816153,      0.988118740830858, 0.9144627621776, 0.766601189941907, 0.376717287681382,      0.369775577831193, 0.239541842460841, 0.212629065580827,      0.197749862418082, 0.182060326439556, 0.151910634982065,      0.132097575134775, 0.131905830888098, 0.0111032201819125,      0.00421162860724816, 0.00372072450599086, 0.00367183192383224,      0.000617300042251852, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3881777731 
R squared (OOB):                  0.6051076 

$Forests[[436]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(760000, 815000, 838000,      650000, 545000, 680000, 630000, 638000, 680000, 315000, 445000,      480000, 515000, 446000, 550000, 518000, 310000, 470000, 515000,      450000), floor_area_sqm = c(91, 91, 91, 86, 86, 86, 101,      105, 76, 87, 84, 94, 110, 94, 105, 84, 82, 84, 103, 104),          storey_order = c(9L, 11L, 12L, 3L, 1L, 3L, 2L, 3L, 11L,          1L, 3L, 6L, 1L, 2L, 2L, 3L, 5L, 3L, 3L, 1L), remaining_lease_mths = c(1091,          1109, 1106, 1018, 1025, 1025, 952, 918, 1071, 633, 647,          725, 859, 723, 786, 781, 656, 813, 823, 828), PROX_CBD = c(5.4124717534787,          5.46273996086224, 5.38577040159704, 5.26278746968545,          5.19905620756448, 5.19905620756448, 5.76616775136128,          5.24252163748666, 5.17664618337401, 5.88382015009973,          4.82546817648507, 4.50933618399607, 5.31333197008925,          4.45295385586978, 6.4090346428634, 6.59778313634683,          5.9699685911294, 6.30150758144434, 6.41432963568309,          5.12061996426338), PROX_ELDERLYCARE = c(0.277453528347438,          0.323825203617813, 0.343873602324804, 0.310343810032976,          0.3148233892717, 0.3148233892717, 0.708186986363007,          0.232760622048558, 0.203403853153192, 0.599695566252105,          0.401252043911139, 0.665866395733666, 0.301885421229742,          0.645271528549996, 0.336883008423279, 0.619464736019043,          4.28110190953706e-07, 0.0580157957368266, 0.101150617829923,          0.279354008399566), PROX_HAWKER = c(0.214745652304629,          0.17988889362956, 0.225377370173431, 0.356302899600742,          0.424686940189847, 0.424686940189847, 0.25612232537118,          0.316098981667774, 0.242990200436355, 0.302293625820731,          0.33634581375869, 0.665007751295857, 0.15027253820603,          0.601904675681234, 0.729024203622067, 1.00589931737343,          0.247906315943116, 0.511576723994062, 0.639366917684312,          0.158729667464322), PROX_MRT = c(0.525678460826462, 0.495510769155532,          0.452916639575337, 0.321982757522174, 0.253583166891469,          0.253583166891469, 0.0934691468297738, 0.353807427048722,          0.347215067697513, 0.37771060533367, 0.437510974512092,          0.549595780709265, 0.839256513816073, 0.66128766903618,          0.631935879685516, 0.372865816575034, 1.03854772657135,          0.911216039334219, 0.753240517287136, 1.12797954219589         ), PROX_PARK = c(0.766524211973089, 0.816564732509704,          0.680409922157526, 0.550000337404237, 0.482110245392283,          0.482110245392283, 1.02675087524374, 0.540897442657821,          0.502895249788983, 1.09766236241216, 0.386749503328341,          0.353281501558379, 0.919693677764514, 0.473457593144303,          0.73120409495038, 0.432673847047101, 0.792968228054446,          0.950460734805334, 0.941128983241434, 1.12857946410316         ), PROX_GOOD_PRISCH = c(2.04167837943161, 1.99475835919692,          2.04281306492033, 2.16237499594262, 2.22494939608982,          2.22494939608982, 1.65694818911091, 2.20280244575696,          2.27859573799937, 1.61186682958131, 2.65585299610189,          2.94429219434277, 2.32631552336422, 3.02211493728223,          1.19038460547274, 0.909917905905181, 1.89588922913119,          1.50990256016426, 1.35156641752108, 2.70116277997296),          PROX_MALL = c(0.636573036587929, 0.68208602871978, 0.513452616263142,          0.38523327442887, 0.31885342913617, 0.31885342913617,          0.834887080030876, 0.315823950773482, 0.285366785950761,          0.966526596905427, 0.337875853585261, 0.485349818185599,          0.752077094160308, 0.570379319619026, 0.56447134405004,          0.324462922438517, 1.25835483053691, 0.872189526609738,          0.713954983197348, 1.02774547618649), PROX_CHAS = c(0.208534953207918,          0.185272865297861, 0.180097972613039, 0.188692357663819,          0.211748617283041, 0.211748617283041, 0.143086854941205,          0.0731998871787336, 0.0737889624358689, 0.256579842259861,          0.315432137833306, 0.331046161101227, 0.111194343620761,          0.303272176186244, 0.141339892509329, 0.0558741615176373,          0.21461630683628, 0.0940735950578242, 0.15014885052256,          0.193072984237221), PROX_SUPERMARKET = c(0.496000676868079,          0.544212695479659, 0.397689630461078, 0.267150206458008,          0.199301193911681, 0.199301193911681, 0.318319510093507,          0.266280670019211, 0.177322353300672, 0.27867057765081,          0.0907256678718214, 0.325943517329761, 0.370675298005651,          0.34627255092781, 0.360911693423373, 0.173430033183904,          0.227231659318009, 0.469210677159174, 0.519047869620273,          0.198191070641627), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 4L, 4L, 4L, 4L, 2L, 3L, 1L, 1L, 0L, 0L, 1L, 0L, 0L,          1L, 0L, 2L, 2L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          7L, 5L, 6L, 6L, 1L, 5L, 7L, 4L, 2L, 1L, 3L, 1L, 5L, 3L,          2L, 4L, 4L, 4L), WITHIN_350M_BUS = c(7L, 8L, 8L, 9L,          9L, 9L, 8L, 10L, 9L, 8L, 8L, 5L, 12L, 6L, 9L, 7L, 8L,          7L, 7L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          3L, 4L, 4L, 4L, 4L, 2L, 0L, 3L, 1L, 3L, 2L, 4L, 4L, 3L,          3L), DNeighbour = c(0, 48.4205987327176, 172.525044741373,          259.985814201998, 320.00925642359, 321.151702608899,          454.748586299144, 592.200336807167, 657.826081069278,          855.099660444806, 960.157148821217, 1108.83374357029,          1132.18928580231, 1224.07772746734, 1308.22630220957,          1355.55168878222, 1460.69938965494, 1476.65167305642,          1481.72617496376, 1523.77686731798)), row.names = c("436",      "75", "116", "199", "533", "181", "430", "472", "897", "201",      "288", "622", "279", "346", "269", "957", "920", "417", "114",      "646"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.997981502424023,      0.97452589565522, 0.942625524887151, 0.913736318363663, 0.913133302360012,      0.82980523047676, 0.720731563547328, 0.661991389627729, 0.46934407204842,      0.363552355215075, 0.221342542434341, 0.200639939689448,      0.125797782031172, 0.0691194536944573, 0.0435190032533278,      0.00657354118981021, 0.0037084068780807, 0.00296275091228267,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       13692185405 
R squared (OOB):                  0.3678784 

$Forests[[437]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(302500, 320000, 275000,      315000, 313000, 318000, 315000, 310000, 315000, 402000, 320800,      327000, 355000, 340000, 370000, 358000, 310000, 355000, 310000,      387008), floor_area_sqm = c(93, 93, 84, 104, 84, 84, 97,      96, 91, 93, 92, 84, 93, 91, 93, 91, 91, 104, 84, 97), storey_order = c(2L,      3L, 1L, 4L, 4L, 1L, 3L, 1L, 3L, 4L, 1L, 1L, 4L, 2L, 1L, 1L,      3L, 4L, 3L, 2L), remaining_lease_mths = c(764, 762, 807,      777, 772, 785, 746, 772, 774, 762, 965, 802, 761, 782, 782,      760, 774, 814, 806, 775), PROX_CBD = c(15.7384939989151,      15.7384939989151, 15.555826242216, 15.5029529482698, 15.5029529482698,      15.4237712873611, 16.179026897848, 16.0124832316584, 16.1626205207603,      15.8715793299193, 16.3149444157129, 15.395293903354, 16.1297617902268,      16.0688727275577, 15.9422949327985, 15.6053010835868, 16.3680873997092,      14.9797222810306, 16.5546706157429, 15.8742411347238), PROX_ELDERLYCARE = c(1.81389464514152,      1.81389464514152, 1.98144426857027, 1.60634233373903, 1.60634233373903,      1.66429806880172, 1.73064849730919, 1.41328722649904, 1.55788424655444,      1.28212929908789, 1.76400828031834, 1.48326161455178, 1.29938230642316,      1.20623153653763, 1.09392979000114, 1.18278326755006, 1.42545230549203,      1.40865121451131, 1.28388145020366, 0.784609866943175), PROX_HAWKER = c(0.367446283592148,      0.367446283592148, 0.587918588004233, 0.592613874358246,      0.592613874358246, 0.663653920640621, 0.141690035201285,      0.231474226543029, 0.113648031708615, 0.428166805124, 0.267171899978326,      0.763118949388798, 0.335840869363962, 0.426544691499688,      0.571238530927929, 0.745618024005524, 0.369132496020862,      1.17708155532767, 0.634516033073404, 0.921851461637316),          PROX_MRT = c(0.817431272071058, 0.817431272071058, 0.961984472446029,          0.579811001445256, 0.579811001445256, 0.641519249244255,          0.887672461516919, 0.526610558032509, 0.733071345608223,          0.326170963259121, 0.980548762507945, 0.486709870425329,          0.514969181151661, 0.406145228037129, 0.22642613478059,          0.180817781363956, 0.767751604782153, 0.541117453484526,          0.786543604226707, 0.243577544220952), PROX_PARK = c(0.197322246351151,          0.197322246351151, 0.155244626205508, 0.518465718930498,          0.518465718930498, 0.527546900647844, 0.539742315344257,          0.641040622161513, 0.622244080025509, 0.729541055973412,          0.504828773517413, 0.736647900507106, 0.709135847201637,          0.697314652170583, 0.749126986336644, 0.580682002012541,          0.655349613079545, 0.869949400509587, 0.413578796610442,          0.457440234531046), PROX_GOOD_PRISCH = c(6.09593783675615,          6.09593783675615, 5.90755023148013, 5.8805780078001,          5.8805780078001, 5.79932453842233, 6.53838177865997,          6.39414010271149, 6.53246509089368, 6.26806838260706,          6.672975925328, 5.79164197089728, 6.52049985370614, 6.46919552361138,          6.35759010380229, 6.02648848177283, 6.74866006620563,          5.38873705701154, 6.95112153433386, 6.33578781760894),          PROX_MALL = c(0.906877360376741, 0.906877360376741, 1.05229171505891,          0.667352945771092, 0.667352945771092, 0.726704111983395,          0.960112961135972, 0.598952481573277, 0.800586392071248,          0.405953132327172, 0.965701391482886, 0.561468969675593,          0.568960814514176, 0.45653839484425, 0.275355858531219,          0.252610517585887, 0.812249060303789, 0.857174016474006,          0.809678350084408, 0.159478773824134), PROX_CHAS = c(0.184740133551779,          0.184740133551779, 0.0651877268759985, 0.128101303359069,          0.128101303359069, 0.11942955396425, 0.0821179618758864,          0.191204296760245, 0.107377285719627, 0.170717118999449,          0.215258950862385, 0.1019571402223, 0.215228497760129,          0.123235071398074, 0.101928728560798, 0.0925674017483885,          0.317481852326526, 0.0593781975043205, 0.102023856475547,          0.159478805927642), PROX_SUPERMARKET = c(0.287892528450529,          0.287892528450529, 0.511049564140858, 0.314517101025506,          0.314517101025506, 0.307102160965552, 0.224545288466622,          0.214004200599592, 0.191669323632479, 0.323117190327721,          0.357579925001748, 0.0953919744611677, 0.353026966783941,          0.399183655269817, 0.218983947734938, 0.188530812320699,          0.442251956603444, 0.101389584423307, 0.57240719914765,          0.159478664733051), WITHIN_350M_KINDERGARTEN = c(3L,          3L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(7L, 7L,          6L, 2L, 2L, 3L, 3L, 4L, 5L, 2L, 1L, 2L, 3L, 3L, 2L, 5L,          2L, 3L, 2L, 5L), WITHIN_350M_BUS = c(10L, 10L, 7L, 10L,          10L, 11L, 8L, 8L, 9L, 8L, 8L, 9L, 8L, 9L, 8L, 10L, 8L,          10L, 10L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 1L, 3L,          3L, 4L, 3L, 4L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,          5L, 6L), DNeighbour = c(0, 5.29913285176756, 216.746786415523,          376.883601324944, 377.599417088041, 410.202127082575,          446.110538333515, 459.390804364886, 483.49709007219,          539.42511959314, 574.139427951531, 593.498483299344,          612.389998045067, 658.611567607637, 723.091951163902,          727.737746730052, 735.385246580431, 947.148963957232,          987.997543117854, 1049.02745928589)), row.names = c("437",      "803", "426", "162", "587", "293", "336", "740", "335", "294",      "980", "556", "184", "804", "708", "143", "198", "984", "22",      "83"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999948965912134,      0.916441407253506, 0.758511061859025, 0.757656456544867,      0.717569690776173, 0.671011675954455, 0.653228442153141,      0.62026791690534, 0.541083024633811, 0.490638214884223, 0.462284215211427,      0.434562352926882, 0.367028418198165, 0.275487495920844,      0.269095413863334, 0.258649835452368, 0.0341519465661402,      0.0127623555700241, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       452609170 
R squared (OOB):                  0.5334949 

$Forests[[438]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(305000, 335000, 432000,      420000, 410000, 415000, 323000, 333000, 365000, 388000, 360000,      325000, 319000, 313000, 310500, 310000, 280000, 305000, 305000,      375000), floor_area_sqm = c(99, 100, 92, 92, 92, 92, 101,      99, 92, 92, 99, 91, 101, 99, 92, 89, 90, 91, 99, 102), storey_order = c(4L,      4L, 4L, 1L, 2L, 2L, 1L, 3L, 1L, 1L, 3L, 2L, 4L, 4L, 4L, 1L,      3L, 4L, 1L, 3L), remaining_lease_mths = c(930, 927, 1123,      1121, 1136, 1125, 937, 927, 1135, 1134, 915, 970, 950, 918,      932, 946, 958, 932, 921, 932), PROX_CBD = c(17.5508688704121,      17.5934100264964, 17.7152334804069, 17.7152334804069, 17.7152334804069,      17.7609329148819, 17.4093430047218, 17.6933534103443, 17.8160591469996,      17.8160591469996, 17.6482187406162, 17.7083177660008, 17.1356331652512,      17.8728040148932, 17.1621565450396, 17.0860498579873, 17.0860498579873,      17.1300558853523, 17.9733391318796, 17.424297644009), PROX_ELDERLYCARE = c(0.169110695114153,      0.183364759720919, 0.0982899037000713, 0.0982899037000713,      0.0982899037000713, 0.0656405943898966, 0.347622879353981,      0.174626049595048, 0.101440000613482, 0.101440000613482,      0.399377154365588, 0.378187975507624, 0.585213362825854,      0.330981516384048, 0.588822776266157, 0.634635376150565,      0.634635376150565, 0.650159488421832, 0.376016337241346,      0.332680427012888), PROX_HAWKER = c(0.736171211400498, 0.860123145519879,      0.815736811633103, 0.815736811633103, 0.815736811633103,      0.769612072642938, 0.646263997619536, 0.89059259132002, 0.755409785256781,      0.755409785256781, 1.11261554439583, 0.340346390827249, 0.905166107754752,      0.446535534086157, 0.776103543372746, 0.984075399620173,      0.984075399620173, 0.747949107581356, 0.501520555884575,      1.2762396177499), PROX_MRT = c(0.804998329325227, 0.675234243169572,      0.674833365376197, 0.674833365376197, 0.674833365376197,      0.714624513867521, 0.722831181419355, 0.606842528225389,      0.729659889526201, 0.729659889526201, 0.417091391951799,      0.403335562748004, 0.689848925621533, 0.4868918768976, 0.827901946736494,      0.610921595420819, 0.610921595420819, 0.826263947198081,      0.52882455357406, 0.484502150769697), PROX_PARK = c(1.71737354643835,      1.60355051242194, 1.52614967260321, 1.52614967260321, 1.52614967260321,      1.52091098886828, 1.92330050908574, 1.49905344652453, 1.49250729308795,      1.49250729308795, 1.38656874841243, 1.86766019581863, 2.00545012030434,      1.69875568186822, 2.12305734030611, 1.98249707589613, 1.98249707589613,      2.21165427538899, 1.62685700377268, 1.39102562335911), PROX_GOOD_PRISCH = c(8.17476856172454,      8.24279341902993, 8.35538963357137, 8.35538963357137, 8.35538963357137,      8.39120163011403, 8.00696366683488, 8.34857469941546, 8.44175881664207,      8.44175881664207, 8.34983568407236, 8.26299778187914, 7.76178719780886,      8.43952013253886, 7.75790588282746, 7.72567604662297, 7.72567604662297,      7.71077701272798, 8.54142359534323, 8.1609833985331), PROX_MALL = c(0.109574351562212,      0.188384425612312, 0.158599011552442, 0.158599011552442,      0.158599011552442, 0.147411017927622, 0.265229996889848,      0.223321337745784, 0.183177100903513, 0.183177100903513,      0.439097430243665, 0.335143296665789, 0.382407895591973,      0.330972758922268, 0.509108711773916, 0.314944256820634,      0.314944256820634, 0.568151229694078, 0.395841490391381,      0.394560370801339), PROX_CHAS = c(0.048268048492383, 0.151781240761386,      0.158598978424062, 0.158598978424062, 0.158598978424062,      0.14741100268466, 0.23105278557526, 0.21485891447712, 0.183177099178452,      0.183177099178452, 0.414359256629807, 0.30242004444134, 0.257714074421561,      0.330972805611547, 0.242301342816858, 0.250499161266826,      0.250499161266826, 0.159798231789153, 0.364030465322827,      0.265229996652697), PROX_SUPERMARKET = c(0.15801430638391,      0.209139790637019, 0.144345834884574, 0.144345834884574,      0.144345834884574, 0.113022549454425, 0.313773352526138,      0.218378438252518, 0.137568853383185, 0.137568853383185,      0.441697647833666, 0.332189289926598, 0.257714572429151,      0.300218301814749, 0.263452146302603, 0.250499698074938,      0.250499698074938, 0.260386915772359, 0.356071330024396,      0.265230176390619), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 0L, 1L, 1L,      0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(7L, 6L, 6L, 6L, 6L,      8L, 7L, 5L, 8L, 8L, 3L, 6L, 5L, 4L, 5L, 6L, 6L, 5L, 3L, 2L     ), WITHIN_350M_BUS = c(12L, 12L, 12L, 12L, 12L, 10L, 13L,      13L, 15L, 15L, 9L, 7L, 11L, 8L, 11L, 11L, 11L, 13L, 11L,      9L), WITHIN_1KM_PRISCH = c(6L, 8L, 7L, 7L, 7L, 6L, 5L, 8L,      6L, 6L, 7L, 5L, 4L, 7L, 4L, 4L, 4L, 4L, 7L, 5L), DNeighbour = c(0,      139.740404528587, 185.815515009937, 188.259712243743, 188.745743593379,      214.66292774366, 216.142934570208, 217.786485579678, 256.684194147351,      261.124435866134, 398.72461122116, 407.220810358967, 418.9723158293,      429.171027386395, 437.546821424708, 469.715583471709, 472.760111861821,      501.962334067965, 503.443866596032, 541.38025371621)), row.names = c("438",      "419", "298", "289", "13", "365", "174", "112", "402", "53",      "891", "544", "99", "992", "190", "685", "704", "170", "179",      "736"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.87118833285107,      0.778270219290325, 0.772775860186448, 0.771677083576043,      0.710277224010883, 0.706615179896469, 0.702530200192469,      0.600937347727176, 0.588836586768234, 0.209373090350126,      0.188538507647376, 0.160868467238347, 0.138065275923931,      0.120272255636674, 0.061120262852464, 0.0563754103723647,      0.0196893611338482, 0.0182889457461314, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       676415455 
R squared (OOB):                  0.6780639 

$Forests[[439]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(441000, 358000, 365000,      380000, 456500, 360000, 395000, 418000, 436000, 460000, 440000,      415000, 435000, 420000, 420000, 425000, 415000, 420000, 440000,      440000), floor_area_sqm = c(93, 93, 94, 94, 92, 94, 94, 92,      92, 92, 92, 92, 92, 92, 92, 94, 94, 94, 96, 92), storey_order = c(6L,      1L, 1L, 1L, 8L, 1L, 4L, 6L, 7L, 7L, 8L, 8L, 2L, 6L, 5L, 6L,      6L, 7L, 7L, 5L), remaining_lease_mths = c(1097, 1103, 1095,      1107, 1144, 1096, 1113, 1129, 1139, 1125, 1142, 1140, 1128,      1142, 1132, 1119, 1120, 1120, 1108, 1124), PROX_CBD = c(11.8078122246038,      11.8075546541859, 11.7965908296893, 11.6781560559471, 11.9527102757424,      11.6781560559471, 11.9744040829633, 12.02897658153, 12.042332185553,      12.02897658153, 12.042332185553, 12.02897658153, 12.042332185553,      12.02897658153, 12.042332185553, 11.9828723130509, 11.7484946081343,      12.0119641769274, 11.6053344020152, 12.0234479092478), PROX_ELDERLYCARE = c(0.95260617550949,      0.922118515238085, 1.00802268588986, 1.09658820367145, 0.819362766143575,      1.09658820367145, 0.738781707341689, 0.841755023464642, 0.786890441142101,      0.841755023464642, 0.786890441142101, 0.841755023464642,      0.786890441142101, 0.841755023464642, 0.786890441142101,      0.710325725805382, 1.16050252277995, 0.673044116243487, 1.04503450829128,      0.938035651111226), PROX_HAWKER = c(0.262687630178652, 0.209140712961875,      0.337854809554552, 0.34952328079698, 0.27814297307049, 0.34952328079698,      0.217370340361849, 0.409616357379742, 0.369655971945997,      0.409616357379742, 0.369655971945997, 0.409616357379742,      0.369655971945997, 0.409616357379742, 0.369655971945997,      0.20448046373977, 0.512143004921159, 0.222580914455278, 0.210992660312359,      0.507473565259923), PROX_MRT = c(0.173777829752023, 0.120215557602138,      0.249549573241666, 0.274140861026222, 0.200702114351669,      0.274140861026222, 0.167322140356011, 0.331072457322778,      0.298263347673859, 0.331072457322778, 0.298263347673859,      0.331072457322778, 0.298263347673859, 0.331072457322778,      0.298263347673859, 0.170867756883987, 0.425815084561206,      0.201095784108649, 0.206803096961617, 0.394231498000209),          PROX_PARK = c(0.746013140888617, 0.747098338531098, 0.739061594864021,          0.620391651843957, 0.643017670933737, 0.620391651843957,          0.679906922269617, 0.529446955515876, 0.542226246468638,          0.529446955515876, 0.542226246468638, 0.529446955515876,          0.542226246468638, 0.529446955515876, 0.542226246468638,          0.697136724289492, 0.660489483199184, 0.691047645736797,          0.554363925008431, 0.506408767470305), PROX_GOOD_PRISCH = c(2.13533890725473,          2.12338877581429, 2.14271827973834, 2.02616945457316,          2.270018309959, 2.02616945457316, 2.27223739349538, 2.36775586018775,          2.36724315061599, 2.36775586018775, 2.36724315061599,          2.36775586018775, 2.36724315061599, 2.36775586018775,          2.36724315061599, 2.27447890050516, 2.14657014261275,          2.29976812492723, 1.90056431650247, 2.39172047379238),          PROX_MALL = c(0.17025857997445, 0.119447773727589, 0.241737870027575,          0.244599870232268, 0.232344363503357, 0.244599870232268,          0.214069216816763, 0.358721564938295, 0.332547569579886,          0.358721564938295, 0.332547569579886, 0.358721564938295,          0.332547569579886, 0.358721564938295, 0.332547569579886,          0.220402811054307, 0.411213390710639, 0.251262654177611,          0.158081786709397, 0.441394824612777), PROX_CHAS = c(0.170258520163124,          0.11944771257822, 0.101692541492014, 0.163903281406512,          0.146038815472653, 0.163903281406512, 0.0939357367291076,          0.25157977989641, 0.236223262451169, 0.25157977989641,          0.236223262451169, 0.25157977989641, 0.236223262451169,          0.25157977989641, 0.236223262451169, 0.0995919009989899,          0.0876622280470988, 0.131248018016709, 0.158081821824728,          0.223839041128234), PROX_SUPERMARKET = c(0.168966076328732,          0.119571834445138, 0.17897337633635, 0.19333058996533,          0.237998550380205, 0.19333058996533, 0.22318738818849,          0.314501000490003, 0.33849828517841, 0.314501000490003,          0.33849828517841, 0.314501000490003, 0.33849828517841,          0.314501000490003, 0.33849828517841, 0.230351837454113,          1.21715176356525e-07, 0.261515416493987, 0.148884454693003,          0.244018176385425), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          3L, 2L, 5L, 2L, 7L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L,          2L, 6L, 4L, 2L), WITHIN_350M_BUS = c(11L, 10L, 9L, 9L,          12L, 9L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L,          7L, 11L, 6L, 8L, 10L), WITHIN_1KM_PRISCH = c(3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          2L, 3L, 3L, 3L), DNeighbour = c(0, 60.0444847768023,          71.1808023481712, 141.550286650203, 143.865792760381,          144.991963191145, 216.872711755518, 225.870843219172,          229.003191880745, 230.022628317407, 230.229109292054,          230.729455941481, 232.489003328111, 233.099317251244,          235.153673187813, 245.126441797951, 254.925198977264,          277.993213177569, 279.677306156293, 284.960591026634)), row.names = c("439",      "724", "41", "644", "749", "954", "858", "700", "573", "874",      "16", "287", "908", "318", "634", "203", "441", "167", "158",      "502"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.913172596935266,      0.879101421669267, 0.567390065335317, 0.555195311347972,      0.549241399716286, 0.177059551897544, 0.1381784412452, 0.125441391732651,      0.121392552866101, 0.120578407641136, 0.118613924789608,      0.11180090033028, 0.109473024249616, 0.101774189507892, 0.0676186103960548,      0.0398778001383224, 0.00233316273847183, 0.0013496118784331,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       714059025 
R squared (OOB):                  0.2310735 

$Forests[[440]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 4e+05, 412000,      367000, 418000, 420000, 362000, 428000, 370000, 423888, 390000,      420000, 416000, 433000, 4e+05, 415000, 395000, 365000, 415000,      258000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 93, 84), storey_order = c(2L,      3L, 5L, 1L, 5L, 3L, 1L, 4L, 1L, 5L, 2L, 5L, 4L, 4L, 2L, 5L,      2L, 1L, 4L, 1L), remaining_lease_mths = c(1137, 1143, 1144,      1137, 1138, 1144, 1135, 1140, 1146, 1136, 1139, 1143, 1140,      1130, 1130, 1144, 1146, 1137, 1141, 781), PROX_CBD = c(16.0475930141239,      16.0475930141239, 16.0903666266177, 16.0903666266177, 16.0903666266177,      15.9392575628934, 15.9297907572658, 16.1831859860721, 15.87024444961,      15.9500375777464, 16.0085061296439, 16.1537572283104, 16.055983361932,      16.055983361932, 16.1976566517324, 15.9533618390172, 16.0046521285213,      16.0046521285213, 15.719551353229, 16.1631400386504), PROX_ELDERLYCARE = c(0.129564145964732,      0.129564145964732, 0.179967723198436, 0.179967723198436,      0.179967723198436, 0.0436662178849567, 0.0463608633689567,      0.0701319802482612, 0.10693627682917, 0.0923316964070077,      0.133825008100465, 0.0462823216560119, 0.146417557277997,      0.146417557277997, 9.89208662673193e-07, 0.251148223850536,      0.20718686492254, 0.20718686492254, 0.251997184681221, 0.194171564025932     ), PROX_HAWKER = c(0.872301448799324, 0.872301448799324,      0.9143232220583, 0.9143232220583, 0.9143232220583, 0.765854363537175,      0.768716574287481, 1.00994702859189, 0.694651515851724, 0.798502368740115,      0.86073340068049, 0.986028325459381, 0.897672222950446, 0.897672222950446,      1.03146250928298, 0.802087399746937, 0.855932206484513, 0.855932206484513,      0.543607139892928, 1.03995728027003), PROX_MRT = c(1.14436247830993,      1.14436247830993, 1.13213387762555, 1.13213387762555, 1.13213387762555,      1.14464062157712, 1.23034399571509, 1.08237519657155, 1.09555222562317,      1.27956490520873, 1.31406230168452, 1.02112351286352, 0.936151237003446,      0.936151237003446, 1.02706758196582, 0.8851452059773, 0.883219311345816,      0.883219311345816, 1.04322565796881, 0.842728374229233),          PROX_PARK = c(0.824988291997923, 0.824988291997923, 0.83568858459355,          0.83568858459355, 0.83568858459355, 0.777956069134633,          0.846978318526899, 0.848434833813522, 0.707790886000148,          0.8970097589344, 0.947603217866828, 0.793519520304926,          0.683762717294504, 0.683762717294504, 0.822565203699192,          0.589052524814441, 0.619767633008914, 0.619767633008914,          0.60075194434184, 0.707513815343702), PROX_GOOD_PRISCH = c(6.67335529701902,          6.67335529701902, 6.70919168347838, 6.70919168347838,          6.70919168347838, 6.57394481891556, 6.58539462985877,          6.78038310261662, 6.49806658702102, 6.61604918176311,          6.67823761190993, 6.74044920052795, 6.63421015362065,          6.63421015362065, 6.78043949525415, 6.52939634907869,          6.57618460349959, 6.57618460349959, 6.34176102939636,          6.70927938580052), PROX_MALL = c(0.339403259296736, 0.339403259296736,          0.311149009276151, 0.311149009276151, 0.311149009276151,          0.391567182053879, 0.478634609766659, 0.241735562355662,          0.388975340293238, 0.517477751202279, 0.528820301792356,          0.180580587241737, 0.118546137622893, 0.118546137622893,          0.189710317758296, 0.161178852361569, 0.110811660449771,          0.110811660449771, 0.460595397283409, 0.0870960802892481         ), PROX_CHAS = c(0.16574506375663, 0.16574506375663,          0.215238065300109, 0.215238065300109, 0.215238065300109,          0.0895372628546906, 4.95402698497433e-08, 0.148113838308576,          0.140210421841136, 0.0505118784777886, 0.104680199868824,          0.0922372285822684, 0.110329053122027, 0.110329053122027,          0.0868060808909073, 0.165813590617473, 0.114687044901222,          0.114687044901222, 0.269388612247007, 0.081875317774622         ), PROX_SUPERMARKET = c(0.344658205065017, 0.344658205065017,          0.316789996913415, 0.316789996913415, 0.316789996913415,          0.354688671920554, 0.427887094284235, 0.247969406526707,          0.287679129281494, 0.47836894165083, 0.525839072677995,          0.186806037215644, 0.123371553336512, 0.123371553336512,          0.195853508350489, 0.162291812321236, 0.112847248683738,          0.112847248683738, 0.219989756424723, 0.0873208554119548         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 1L,          1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L, 2L, 2L, 3L,          5L, 7L, 4L, 4L, 2L, 8L, 3L, 3L, 8L, 3L, 3L, 3L, 5L, 6L         ), WITHIN_350M_BUS = c(9L, 9L, 8L, 8L, 8L, 9L, 7L, 7L,          8L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 7L, 7L, 5L, 11L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 4L, 5L, 5L, 5L,          5L, 5L, 5L, 3L, 5L), DNeighbour = c(0, 1.09603642578116,          45.6666413932527, 47.2097927137083, 47.7713678708614,          112.743088227965, 166.009329783704, 173.164383832293,          183.432249214172, 191.17138610149, 193.440300893879,          202.095096380758, 221.12610936889, 225.223952827428,          238.19625375563, 262.652585552729, 268.730078483332,          271.225332331975, 341.049951945254, 390.779568562305)), row.names = c("440",      "28", "919", "161", "249", "517", "654", "661", "582", "912",      "653", "869", "538", "741", "427", "124", "408", "594", "698",      "872"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999984266890516,      0.972873807855828, 0.971023253143823, 0.97033499795371, 0.840454490884363,      0.67163195735415, 0.64583694279162, 0.607874193795563, 0.578631475430717,      0.569970363924619, 0.536624764306737, 0.462133028273159,      0.44599175189123, 0.394961349320783, 0.300576350132797, 0.277834931420186,      0.268611716109108, 0.0567966438898603, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1189815259 
R squared (OOB):                  0.2188606 

$Forests[[441]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 365000, 360000,      380000, 441000, 440000, 358000, 418000, 415000, 420000, 460000,      456500, 436000, 440000, 435000, 420000, 320000, 395000, 440000,      425000), floor_area_sqm = c(94, 94, 94, 94, 93, 92, 93, 92,      92, 92, 92, 92, 92, 92, 92, 92, 92, 94, 96, 94), storey_order = c(6L,      1L, 1L, 1L, 6L, 5L, 1L, 6L, 8L, 6L, 7L, 8L, 7L, 8L, 2L, 5L,      2L, 4L, 7L, 6L), remaining_lease_mths = c(1120, 1095, 1096,      1107, 1097, 1124, 1103, 1129, 1140, 1142, 1125, 1144, 1139,      1142, 1128, 1132, 1009, 1113, 1108, 1119), PROX_CBD = c(11.7484946081343,      11.7965908296893, 11.6781560559471, 11.6781560559471, 11.8078122246038,      12.0234479092478, 11.8075546541859, 12.02897658153, 12.02897658153,      12.02897658153, 12.02897658153, 11.9527102757424, 12.042332185553,      12.042332185553, 12.042332185553, 12.042332185553, 11.3397363359505,      11.9744040829633, 11.6053344020152, 11.9828723130509), PROX_ELDERLYCARE = c(1.16050252277995,      1.00802268588986, 1.09658820367145, 1.09658820367145, 0.95260617550949,      0.938035651111226, 0.922118515238085, 0.841755023464642,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.819362766143575, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.786890441142101, 1.39271535621019, 0.738781707341689,      1.04503450829128, 0.710325725805382), PROX_HAWKER = c(0.512143004921159,      0.337854809554552, 0.34952328079698, 0.34952328079698, 0.262687630178652,      0.507473565259923, 0.209140712961875, 0.409616357379742,      0.409616357379742, 0.409616357379742, 0.409616357379742,      0.27814297307049, 0.369655971945997, 0.369655971945997, 0.369655971945997,      0.369655971945997, 0.570701345451429, 0.217370340361849,      0.210992660312359, 0.20448046373977), PROX_MRT = c(0.425815084561206,      0.249549573241666, 0.274140861026222, 0.274140861026222,      0.173777829752023, 0.394231498000209, 0.120215557602138,      0.331072457322778, 0.331072457322778, 0.331072457322778,      0.331072457322778, 0.200702114351669, 0.298263347673859,      0.298263347673859, 0.298263347673859, 0.298263347673859,      0.534489810386183, 0.167322140356011, 0.206803096961617,      0.170867756883987), PROX_PARK = c(0.660489483199184, 0.739061594864021,      0.620391651843957, 0.620391651843957, 0.746013140888617,      0.506408767470305, 0.747098338531098, 0.529446955515876,      0.529446955515876, 0.529446955515876, 0.529446955515876,      0.643017670933737, 0.542226246468638, 0.542226246468638,      0.542226246468638, 0.542226246468638, 0.290298216204727,      0.679906922269617, 0.554363925008431, 0.697136724289492),          PROX_GOOD_PRISCH = c(2.14657014261275, 2.14271827973834,          2.02616945457316, 2.02616945457316, 2.13533890725473,          2.39172047379238, 2.12338877581429, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36775586018775,          2.270018309959, 2.36724315061599, 2.36724315061599, 2.36724315061599,          2.36724315061599, 1.70706505143727, 2.27223739349538,          1.90056431650247, 2.27447890050516), PROX_MALL = c(0.411213390710639,          0.241737870027575, 0.244599870232268, 0.244599870232268,          0.17025857997445, 0.441394824612777, 0.119447773727589,          0.358721564938295, 0.358721564938295, 0.358721564938295,          0.358721564938295, 0.232344363503357, 0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.459056401007768, 0.214069216816763, 0.158081786709397,          0.220402811054307), PROX_CHAS = c(0.0876622280470988,          0.101692541492014, 0.163903281406512, 0.163903281406512,          0.170258520163124, 0.223839041128234, 0.11944771257822,          0.25157977989641, 0.25157977989641, 0.25157977989641,          0.25157977989641, 0.146038815472653, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.111613351644546, 0.0939357367291076, 0.158081821824728,          0.0995919009989899), PROX_SUPERMARKET = c(1.21715176356525e-07,          0.17897337633635, 0.19333058996533, 0.19333058996533,          0.168966076328732, 0.244018176385425, 0.119571834445138,          0.314501000490003, 0.314501000490003, 0.314501000490003,          0.314501000490003, 0.237998550380205, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.440050810323431, 0.22318738818849, 0.148884454693003,          0.230351837454113), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 3L,          2L, 2L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 5L, 4L, 4L, 4L, 4L,          1L, 7L, 4L, 6L), WITHIN_350M_BUS = c(11L, 9L, 9L, 9L,          11L, 10L, 10L, 11L, 11L, 11L, 11L, 12L, 10L, 10L, 10L,          10L, 9L, 10L, 8L, 7L), WITHIN_1KM_PRISCH = c(2L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          2L, 3L, 3L, 3L), DNeighbour = c(0, 184.403689239953,          193.964046575613, 197.688604114303, 254.925198977264,          283.584935934346, 313.840509298129, 330.489550909553,          330.812135142351, 332.913220663217, 333.44208050365,          350.531651595087, 376.086813091016, 377.050350422124,          377.525741595059, 381.127098697506, 444.278062701593,          448.650603996591, 455.800759073569, 482.071352445911)), row.names = c("441",      "41", "954", "644", "439", "502", "724", "700", "287", "318",      "874", "749", "573", "16", "908", "634", "254", "858", "158",      "203"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.72876213867561,      0.702428496325776, 0.691946239581147, 0.518915196752955,      0.427645586260459, 0.331967755374465, 0.280905781399176,      0.279933584575174, 0.273619692717998, 0.272035538344267,      0.222097848329459, 0.153170248188177, 0.150735796504778,      0.149539591785274, 0.140585073677164, 0.0226951868090782,      0.0179154188606745, 0.0112403986172454, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       929369337 
R squared (OOB):                  0.3346449 

$Forests[[442]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(545000, 535000, 490000,      532000, 520000, 460000, 4e+05, 589000, 498000, 510000, 403000,      465000, 430000, 550000, 550000, 455000, 455000, 510000, 432000,      460000), floor_area_sqm = c(93, 93, 95, 96, 93, 92, 92, 96,      93, 92, 92, 93, 92, 98, 95, 93, 92, 97, 93, 93), storey_order = c(5L,      4L, 2L, 4L, 4L, 2L, 1L, 6L, 2L, 3L, 1L, 5L, 1L, 4L, 4L, 5L,      4L, 2L, 5L, 3L), remaining_lease_mths = c(1127, 1118, 1111,      1111, 1118, 1137, 1131, 1111, 1102, 1136, 1138, 1097, 1128,      1103, 1115, 1138, 1133, 1104, 1129, 1138), PROX_CBD = c(13.8964286142315,      13.8964286142315, 13.7780295697528, 13.8842234613226, 13.7912064237251,      13.9481332653994, 13.9748767742628, 13.8838492138892, 13.8269911518463,      14.0250110126613, 13.9348601041022, 13.8110145095205, 13.983033341901,      13.7784857598507, 13.9206851659757, 13.5153222954464, 13.5263069451707,      13.7787547800329, 13.4495242740615, 13.8880322509317), PROX_ELDERLYCARE = c(0.28821019895416,      0.28821019895416, 0.24280876806526, 0.284905700992106, 0.194902312085005,      0.108372417523696, 0.0869602171534455, 0.321249151015697,      0.272443342502121, 0.0392522324995346, 0.122633260073778,      0.2424730747692, 0.0819455196406728, 0.303554199654945, 0.410984632703067,      0.128038783583345, 0.13293861465481, 0.357313426679343, 0.226392675254826,      0.250782943854859), PROX_HAWKER = c(0.700607063348248, 0.700607063348248,      0.855348356505915, 0.667389882084889, 0.761066408094757,      0.783686601130967, 0.759405218095962, 0.661984274687099,      0.718894335359525, 0.732915378457501, 0.848294615942255,      0.93957565430704, 0.818439961244233, 0.771130061467184, 0.63246529422046,      1.06471945671836, 1.0232116664491, 0.779750574682814, 1.13086059974118,      0.989318285046145), PROX_MRT = c(0.214342865325431, 0.214342865325431,      0.290902656750774, 0.172676244118343, 0.263976344610204,      0.146013494832411, 0.16215489673441, 0.202599849124069, 0.250191496834268,      0.179377644983316, 0.066674836544346, 0.110074032088272,      0.0961191462833423, 0.334453451125385, 0.247793554682504,      0.531733722241289, 0.529059791722705, 0.373119808041594,      0.537207200764636, 0.0905698875540676), PROX_PARK = c(0.945155408432775,      0.945155408432775, 1.08412864631293, 0.946790994443363, 1.03946212768551,      0.964943529987853, 0.93793434477989, 0.953674473627188, 1.00953333913803,      0.898948825756494, 1.01289159319472, 1.12286028608686, 0.973290645087517,      1.07038952907209, 0.9355470513087, 1.12627074536918, 1.00320858387115,      1.07510958061046, 1.14705623529365, 1.13098813526459), PROX_GOOD_PRISCH = c(4.42474408393319,      4.42474408393319, 4.27934963146811, 4.46427355245829, 4.37243865161908,      4.41058426346667, 4.4381077472328, 4.48950135049007, 4.43409233459216,      4.48326906164864, 4.3780728039611, 4.2580170038876, 4.42376284483209,      4.41640053984819, 4.55661004860153, 4.05859518452173, 4.12550653324601,      4.43794264479214, 3.97306691053722, 4.29841605508598), PROX_MALL = c(0.36232957329041,      0.36232957329041, 0.507308338763366, 0.384398044205003, 0.47180896375681,      0.431747484707969, 0.408666125180857, 0.415387276861254,      0.464449368072494, 0.387952579177684, 0.500682206465503,      0.585854127158584, 0.475935346664486, 0.546157830895501,      0.441605558767423, 0.741140095950697, 0.734460127270614,      0.579723774298741, 0.817008429043632, 0.648384322611893),          PROX_CHAS = c(0.190952462752685, 0.190952462752685, 0.246000912873009,          0.0936868185767241, 3.14247486029477e-08, 0.0812590805558053,          0.0955424375353944, 0.130388475133542, 0.093713435160417,          0.116095717847762, 3.70448785353559e-08, 0.123846030022364,          0.0483941894268844, 0.171232412843018, 0.230184731543739,          0.0484693686848179, 0.164485608616764, 0.2330532561781,          0.142936854782623, 0.0495611607390083), PROX_SUPERMARKET = c(0.190953240917096,          0.190953240917096, 0.271122867675942, 0.093687407280864,          8.52808058992138e-07, 0.194128300134642, 0.205979542456043,          0.130388583033251, 0.0937132175773042, 0.21237786594893,          0.112910168339451, 0.157551778944521, 0.123899374628808,          0.171231859107883, 0.23018467784701, 0.321659607097496,          0.265115106421715, 0.233052713938452, 0.417643104955167,          0.0495614942866338), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 0L, 1L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 3L, 4L, 3L, 4L, 3L, 5L, 5L, 5L, 3L, 4L, 5L, 4L, 4L,          5L, 4L, 3L, 3L), WITHIN_350M_BUS = c(9L, 9L, 9L, 7L,          8L, 7L, 6L, 9L, 8L, 9L, 11L, 12L, 11L, 7L, 13L, 6L, 2L,          11L, 5L, 11L), WITHIN_1KM_PRISCH = c(5L, 5L, 6L, 5L,          5L, 4L, 4L, 5L, 5L, 4L, 4L, 4L, 4L, 6L, 5L, 5L, 6L, 8L,          4L, 4L), DNeighbour = c(0, 4.38382080506692, 166.026752604535,          176.424141895329, 199.516577743417, 238.030479473662,          246.077516750502, 258.585154127289, 261.150286467559,          275.624349905417, 313.303906754369, 320.968484661485,          331.421507597797, 351.966391480405, 361.079056203465,          379.623221267441, 412.376554307851, 415.18294304628,          450.424903181841, 457.76421814163)), row.names = c("442",      "760", "282", "670", "420", "34", "690", "723", "376", "8",      "356", "645", "710", "837", "516", "183", "779", "549", "988",      "662"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999816586211066,      0.754215077754346, 0.724990583120929, 0.656156207281526,      0.532339080893718, 0.505556632044286, 0.463628125698985,      0.455004506481549, 0.406359987805917, 0.282562955434616,      0.258436923132591, 0.226407835795698, 0.167134935096417,      0.142742684805343, 0.0975087097768506, 0.0355211753616345,      0.0314663137751758, 0.00101180372119628, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1264738647 
R squared (OOB):                  0.5472946 

$Forests[[443]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 345000, 320000,      324000, 320000, 345000, 333000, 364000, 350000, 310000, 339000,      378000, 335000, 4e+05, 295000, 375000, 315000, 394000, 338000,      395000), floor_area_sqm = c(102, 102, 100, 90, 101, 102,      100, 100, 102, 91, 102, 92, 100, 92, 101, 92, 102, 92, 102,      92), storey_order = c(1L, 2L, 4L, 4L, 1L, 4L, 4L, 2L, 4L,      4L, 3L, 3L, 4L, 4L, 1L, 2L, 2L, 5L, 4L, 3L), remaining_lease_mths = c(911,      927, 930, 929, 924, 926, 928, 921, 923, 927, 923, 1133, 930,      1145, 917, 1135, 913, 1142, 922, 1132), PROX_CBD = c(18.2320763538069,      18.2868848905217, 18.242108360018, 18.3448727328387, 18.0902268845521,      18.236688278315, 18.2095446148373, 17.9386403893839, 18.0569924715364,      18.6571260927441, 17.9456645257603, 18.5541585191533, 17.9186379864086,      18.4659506582063, 18.4986491838169, 18.5586196198757, 17.9994058772431,      18.5586196198757, 18.1611534549189, 18.4477570786683), PROX_ELDERLYCARE = c(0.927534095024191,      0.896456720381782, 1.08331104464233, 1.12000720290482, 0.706169610995159,      0.732088251039709, 1.17430183890643, 0.714833653499633, 0.59750504274373,      1.27166470727688, 0.476454782767532, 1.3934670212363, 1.13507400842797,      1.40960952841152, 0.86418951980865, 1.41981179339616, 0.430537495183344,      1.41981179339616, 0.519233937445895, 1.45029388933935), PROX_HAWKER = c(0.493410913505403,      0.547085889030319, 0.548257960059823, 0.636376603494217,      0.370412154176866, 0.537987121264097, 0.579651089601917,      0.201936965562497, 0.391180253405874, 0.924657565926692,      0.3648710200987, 0.899006211509986, 0.435091735724103, 0.861254406292383,      0.838043969781633, 0.915906485722884, 0.472244893923117,      0.915906485722884, 0.617364695979906, 0.879695992543251),          PROX_MRT = c(0.433316978327494, 0.495991449430539, 0.47401652613315,          0.565211037998289, 0.341202563029131, 0.511061821383635,          0.501132314022455, 0.168914117564514, 0.384524332485438,          0.861078471223358, 0.385567417899789, 0.823747240068891,          0.364011265623101, 0.783375472664302, 0.812751343363136,          0.839968978875504, 0.492638498779759, 0.839968978875504,          0.623413162025338, 0.801027338961469), PROX_PARK = c(1.96114614265628,          1.86697967968657, 2.12857307310705, 2.08056453235766,          1.8531048262974, 1.7164330470264, 2.25371860749481, 1.99379565561889,          1.77011013021076, 1.95136051888807, 1.76180373116006,          2.22642888666982, 2.31505119222808, 2.321508063195, 1.49181484955502,          2.25577949184332, 1.65421298847909, 2.25577949184332,          1.52418818882418, 2.38376543636855), PROX_GOOD_PRISCH = c(8.72297519828522,          8.78822500750919, 8.71021480286832, 8.81498363377987,          8.60631027953587, 8.76378557853615, 8.6635222339794,          8.4444135457925, 8.58956131155308, 9.13456945987866,          8.49089982759618, 9.00155567304774, 8.3676789538936,          8.90481615501782, 9.04519470993137, 9.00274768401056,          8.5589292690065, 9.00274768401056, 8.72758527833631,          8.8804818877731), PROX_MALL = c(0.22704735136933, 0.1450338527091,          0.347669457974494, 0.284195187673565, 0.342860958869265,          0.240339889961931, 0.468966497593582, 0.238372860218233,          0.407254736414821, 0.300602441432182, 0.428159644756295,          0.475387173022169, 0.384238747959315, 0.542775018358786,          0.305101649121832, 0.5054917244252, 0.446560923090423,          0.5054917244252, 0.475604736810637, 0.601716003339109         ), PROX_CHAS = c(0.11607611654581, 0.0217240252323136,          0.274735402884708, 0.24769320941352, 0.209799590563819,          0.184864523484869, 0.3998394205418, 0.076984763134016,          0.222103720735081, 0.214120710257936, 0.218909691095897,          0.0809306171135589, 0.360842629752134, 0.20305264112251,          0.305101651313883, 0.101888085354885, 0.324811070171065,          0.101888085354885, 0.405258493214775, 0.260006933015678         ), PROX_SUPERMARKET = c(0.227046556279957, 0.145032957963293,          0.347668959247477, 0.284194910851331, 0.342860053820009,          0.240339157209448, 0.402574253870019, 0.171190500184261,          0.385535197909366, 0.214121714630789, 0.365864675212809,          0.080929224247632, 0.360842909613722, 0.203051245143547,          0.305101855713295, 0.101886801165025, 0.408691343873882,          0.101886801165025, 0.475604214408431, 0.260005577706646         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 1L, 1L, 2L, 2L,          1L, 1L, 2L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 2L, 0L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 7L, 3L, 5L, 6L, 6L,          2L, 6L, 4L, 3L, 3L, 3L, 1L, 3L, 6L, 3L, 4L, 3L, 5L, 3L         ), WITHIN_350M_BUS = c(10L, 9L, 7L, 8L, 7L, 7L, 8L, 8L,          9L, 8L, 8L, 8L, 11L, 6L, 9L, 5L, 9L, 5L, 10L, 8L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 5L, 6L, 4L, 5L, 6L, 3L, 6L, 4L, 3L, 4L, 4L,          4L, 7L, 4L, 6L, 3L), DNeighbour = c(0, 96.831866519151,          181.855275474874, 195.536617570354, 215.416202768474,          252.803238442053, 305.143490774058, 305.293566419764,          330.198041952482, 437.111022078165, 450.358863838126,          473.223166529157, 475.330091970626, 483.933077212643,          488.081906938701, 495.376870175159, 498.703188073626,          498.822459832511, 506.257049931144, 528.376426141744)), row.names = c("443",      "787", "608", "512", "74", "227", "243", "638", "491", "761",      "20", "563", "590", "777", "684", "35", "177", "581", "330",      "504"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.93395729635243,      0.777116035086893, 0.744851332226548, 0.695197648170079,      0.594568704985957, 0.444196130780528, 0.443758835591401,      0.371445219271624, 0.0996166410792154, 0.0748068756174531,      0.0391522671949714, 0.0363706037593426, 0.0259696710912962,      0.0215227313751732, 0.0146431019608933, 0.0119169294508372,      0.0118240673572525, 0.00671962551604189, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1014015774 
R squared (OOB):                  -0.1221072 

$Forests[[444]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(378888, 330000, 350000,      450000, 452000, 390000, 372500, 405000, 385000, 398888, 370000,      348000, 420000, 330000, 353000, 370000, 385000, 345000, 433000,      356888), floor_area_sqm = c(90, 91, 91, 95, 95, 100, 102,      93, 93, 93, 90, 100, 93, 85, 93, 93, 93, 85, 92, 91), storey_order = c(6L,      3L, 1L, 2L, 4L, 6L, 2L, 6L, 4L, 6L, 2L, 3L, 2L, 4L, 1L, 3L,      5L, 6L, 4L, 5L), remaining_lease_mths = c(949, 951, 992,      1109, 1112, 942, 931, 1138, 1138, 1127, 1016, 938, 1099,      992, 1136, 1127, 1140, 968, 1084, 963), PROX_CBD = c(12.4403773011877,      12.402570085049, 12.6773565587662, 12.0901026943072, 12.1424265739316,      12.9172885276263, 11.9627383543319, 12.9439612539798, 12.9439612539798,      12.9439612539798, 13.0393088300804, 11.8646943012694, 11.8999896789117,      13.0825190214061, 12.9273038019752, 12.9599687546274, 12.9599687546274,      13.131637538161, 11.8702915361943, 13.1584578321731), PROX_ELDERLYCARE = c(0.624054710630084,      0.628872951670854, 0.36284597954094, 0.911165280518988, 0.88680281476439,      0.440978457512705, 0.96089261866182, 0.119102012768026, 0.119102012768026,      0.119102012768026, 0.38924985743242, 0.893707553155367, 0.790393757138983,      0.120371550198491, 0.250608726248769, 0.230213196902471,      0.230213196902471, 0.425459762987539, 0.670900780040593,      0.528614390300154), PROX_HAWKER = c(1.46996215979098, 1.50745216628998,      1.72249172765999, 0.995330006841388, 0.999275592501037, 1.76689210194785,      0.983415578941634, 2.07494386608678, 2.07494386608678, 2.07494386608678,      1.75849952292251, 0.888626336009462, 0.820501997631561, 1.90213677974947,      2.14952956067865, 2.16699861471209, 2.16699861471209, 1.67102672130552,      0.715369360111721, 1.59466084315792), PROX_MRT = c(0.140157494228817,      0.198968515523371, 0.142163643631393, 0.231980634651484,      0.303530488733859, 0.0642144868642362, 0.122900516984256,      0.464899886897548, 0.464899886897548, 0.464899886897548,      0.103022581922205, 0.214047355776769, 0.261250382411254,      0.30821900832469, 0.585364307317434, 0.576831878931421, 0.576831878931421,      0.197259382412543, 0.146531371307633, 0.258879114766752),          PROX_PARK = c(0.525489875872169, 0.61879465488716, 0.484105342641425,          0.750469455971567, 0.699596772952975, 0.18581491955197,          0.836149627657164, 0.700809394437081, 0.700809394437081,          0.700809394437081, 0.291844359651056, 0.747986195716587,          0.813614799778521, 0.557623544885242, 0.834972281659159,          0.828547076231476, 0.828547076231476, 0.350705699368152,          0.8322137924942, 0.332476768251147), PROX_GOOD_PRISCH = c(3.6640626331803,          3.69141799128789, 3.92066991749349, 3.19167768034691,          3.20088339163048, 3.96344124390297, 3.15511978010431,          4.27162250172191, 4.27162250172191, 4.27162250172191,          4.09066115622083, 3.05097986431403, 3.00567179865442,          4.27923006279343, 4.33782029579385, 4.35761410397793,          4.35761410397793, 4.16094245740848, 2.91053685401804,          4.13557899544262), PROX_MALL = c(0.37643645467035, 0.407881748949563,          0.485078273736912, 0.1200910408013, 0.171446483339376,          0.125441786165087, 0.161680393170103, 0.646092130793046,          0.646092130793046, 0.646092130793046, 0.199839805040887,          0.265637621954407, 0.283076960540796, 0.482494809972804,          0.664096204002356, 0.630320880177991, 0.630320880177991,          0.249640338015364, 0.385092319171944, 0.231810009894563         ), PROX_CHAS = c(0.376436475429729, 0.407881782403473,          0.334175310205776, 0.120090990225825, 0.171446425970546,          0.146232137849481, 0.161680400961643, 0.136400058110832,          0.136400058110832, 0.136400058110832, 0.19843851708658,          0.265637621677666, 0.283076936045466, 0.1115602293269,          0.273668945808659, 0.256311352337612, 0.256311352337612,          0.23569948169583, 0.179381733260264, 0.20604200841638         ), PROX_SUPERMARKET = c(0.426522673463594, 0.451295114828249,          0.485077395132212, 0.109512866312649, 0.178201527122821,          0.125440795942109, 0.107037284539066, 0.636728053790567,          0.636728053790567, 0.636728053790567, 0.199839014107547,          0.211091622880127, 0.236972988988714, 0.482493892596986,          0.655577492568061, 0.621743565428055, 0.621743565428055,          0.249639808314143, 0.31749021679057, 0.231809873410795         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 0L, 1L, 2L,          0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 8L, 8L, 7L, 9L,          8L, 4L, 4L, 4L, 8L, 7L, 7L, 7L, 3L, 3L, 3L, 5L, 9L, 6L         ), WITHIN_350M_BUS = c(11L, 9L, 13L, 8L, 9L, 9L, 9L,          3L, 3L, 3L, 7L, 8L, 9L, 4L, 3L, 3L, 3L, 7L, 10L, 7L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 5L, 7L, 4L, 4L,          4L, 4L, 7L, 5L, 5L, 5L, 4L, 4L, 4L, 7L, 5L, 7L), DNeighbour = c(0,          104.664773352448, 263.270972380841, 469.851955167366,          473.131354681968, 508.119316554671, 516.395736249422,          608.044038115893, 609.020779907182, 612.102967482385,          618.810114556843, 627.32270265948, 651.616343440841,          663.735612394856, 689.510740994772, 700.924185512273,          706.012945004003, 708.33259374354, 745.282962171445,          764.18486526838)), row.names = c("444", "80", "400",      "117", "147", "887", "295", "882", "732", "936", "141", "232",      "185", "886", "462", "990", "95", "153", "110", "339"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.962834364024771, 0.776709743573696, 0.386847822044865,      0.380288653131205, 0.311236472527197, 0.295246397337431,      0.134614656679704, 0.133125068087318, 0.128463532096105,      0.118529224921166, 0.106351645253602, 0.0744808724533098,      0.0603264454436606, 0.0345536160497892, 0.0251891714313792,      0.0214478920265921, 0.019833933737381, 0.00238706946755032,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       973240447 
R squared (OOB):                  0.2681702 

$Forests[[445]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(295000, 320000, 380000,      363000, 4e+05, 365000, 645000, 342000, 428000, 357000, 312000,      415000, 420000, 335000, 345000, 355000, 420000, 358888, 5e+05,      390000), floor_area_sqm = c(99, 99, 90, 97, 97, 95, 91, 94,      98, 104, 104, 100, 90, 90, 92, 94, 99, 91, 91, 104), storey_order = c(1L,      2L, 7L, 4L, 1L, 1L, 8L, 1L, 3L, 3L, 2L, 1L, 2L, 1L, 2L, 1L,      3L, 3L, 2L, 1L), remaining_lease_mths = c(730, 736, 985,      701, 734, 735, 1124, 747, 730, 844, 828, 944, 925, 731, 742,      1071, 929, 763, 706, 763), PROX_CBD = c(13.0062996581569,      13.0062996581569, 13.0015179461712, 12.1013944735855, 13.4040436118709,      13.3652677077184, 14.8760787686193, 13.7770670669378, 14.0949321583848,      15.1925589930818, 15.1925589930818, 13.1525533734461, 12.960867808991,      13.8901285505698, 13.8901285505698, 15.3735649652411, 13.2222340992065,      13.6826822978472, 10.2657373615824, 13.1145091682395), PROX_ELDERLYCARE = c(2.38777651439997,      2.38777651439997, 2.41293236098656, 2.41403538414825, 0.954835536666776,      0.876024529291782, 0.68142631506584, 0.919307603677702, 1.07365166923746,      0.485996598795361, 0.485996598795361, 0.640770029240432,      0.579007844644764, 0.540311266279695, 0.540311266279695,      0.0572763643156628, 0.385934705647939, 0.000158780971194199,      0.519949541574078, 0.233566729538939), PROX_HAWKER = c(0.353572407863602,      0.353572407863602, 0.351298271738361, 0.561617227785994,      0.780321580506598, 0.775887609068758, 0.74974565017819, 0.478671478091809,      0.516176882783883, 0.787542750423298, 0.787542750423298,      0.959649545299011, 1.16344345150942, 0.213123049695643, 0.213123049695643,      0.371848396937832, 1.08380419022874, 0.699744847940348, 0.527790221924738,      1.24018164124527), PROX_MRT = c(1.27898935828478, 1.27898935828478,      1.33144343213696, 1.71497473755306, 0.515309591544804, 0.585785046275015,      1.79130926962811, 0.771349314593772, 0.499812381699912, 1.85503706760258,      1.85503706760258, 0.944408516927639, 0.899387073359532, 0.793013171832836,      0.793013171832836, 0.753708157385654, 0.503688459146237,      0.751023886560838, 0.351828842975553, 0.402767024758649),          PROX_PARK = c(1.09068530070835, 1.09068530070835, 1.07883678308045,          0.181629272169071, 1.22140134317452, 1.30724345285799,          1.13853863936216, 0.941140572803456, 0.62523741493865,          1.41855585272788, 1.41855585272788, 1.65277848527316,          1.44660566239193, 1.23128896715218, 1.23128896715218,          0.535685352466539, 1.61082819122054, 1.77145949687945,          0.752867192571236, 1.4917670023494), PROX_GOOD_PRISCH = c(2.37986575446387,          2.37986575446387, 2.38441646582032, 1.52909264222103,          2.95770979509606, 2.95461231779958, 4.21930918110887,          3.3146343023011, 3.57828936266804, 4.5504124031687, 4.5504124031687,          2.95137840528657, 2.82458087567675, 3.56420611596829,          3.56420611596829, 4.72825571795328, 3.2388029474634,          3.58938982364218, 0.402201611323318, 3.15473759747012         ), PROX_MALL = c(1.26979124568258, 1.26979124568258,          1.32151107168067, 1.69674818443598, 0.412160376682232,          0.473263954532778, 0.829646558484038, 0.672803550263317,          0.812049880186, 0.816582289717011, 0.816582289717011,          0.703422933264244, 0.695129776671669, 1.05377974643614,          1.05377974643614, 0.408391974099547, 0.587950861513872,          0.770100764029299, 0.347570072991699, 0.504156272689578         ), PROX_CHAS = c(0.178755496827681, 0.178755496827681,          0.185431787540406, 0.26797195188846, 0.240863562772424,          0.179342279988699, 0.426635940266524, 0.0886717393158711,          0.135156069731972, 0.0584110846116202, 0.0584110846116202,          0.1365287941905, 0.341366062526918, 0.0812638133573676,          0.0812638133573676, 0.289984207596008, 0.151225190585885,          0.110149755252424, 0.329846033180528, 0.11048408202451         ), PROX_SUPERMARKET = c(0.178755398427066, 0.178755398427066,          0.185431698278212, 0.570395350553557, 0.422907964790702,          0.487840963146543, 0.341487242626205, 0.334979160094168,          0.352618767904154, 0.515584409426496, 0.515584409426496,          0.688592108834651, 0.668273194253219, 0.082811926566736,          0.082811926566736, 0.406388098650168, 0.459946280432931,          0.11210687568128, 0.353445486406562, 0.362446168440829         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 2L, 0L, 2L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 1L, 5L, 6L,          6L, 3L, 1L, 4L, 4L, 2L, 1L, 4L, 4L, 4L, 5L, 3L, 4L, 6L         ), WITHIN_350M_BUS = c(7L, 7L, 10L, 10L, 6L, 6L, 10L,          10L, 9L, 11L, 11L, 6L, 2L, 4L, 4L, 12L, 8L, 9L, 10L,          7L), WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 0L, 2L, 2L, 0L,          2L, 2L, 0L, 0L, 2L, 3L, 4L, 4L, 1L, 4L, 2L, 3L, 3L),          DNeighbour = c(0, 5.00774356087354, 59.2286511158432,          912.154594513836, 1772.72455068689, 1852.17764223363,          1881.67770061462, 1928.83816656487, 1975.73217529295,          2191.20726589381, 2191.59975772474, 2246.6455937842,          2302.58453426677, 2356.54892199751, 2358.53026625624,          2588.59602473877, 2693.77457850484, 2725.95594093836,          2773.38721019021, 2789.39253011181)), row.names = c("445",      "412", "45", "40", "757", "238", "312", "337", "25", "104",      "589", "496", "831", "90", "214", "601", "350", "1000", "649",      "164"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999993553942264,      0.999098477649862, 0.797566079726936, 0.355346964588797,      0.312586101955739, 0.296956695133783, 0.272318051897689,      0.248311205821961, 0.14662100075767, 0.14645173605854, 0.123405423118235,      0.101496192204828, 0.0819507937647675, 0.0812647931277309,      0.0192625382193791, 0.0045404960384906, 0.00202202736300154,      0.000130940475370927, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6821665839 
R squared (OOB):                  -0.1465334 

$Forests[[446]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(516000, 440000, 450000,      435000, 588000, 439000, 670000, 548000, 408000, 420000, 410000,      430000, 640000, 345000, 5e+05, 565000, 648000, 375000, 448000,      640000), floor_area_sqm = c(98, 92, 92, 98, 95, 97, 94, 95,      91, 91, 97, 93, 91, 92, 105, 103, 116, 92, 105, 90), storey_order = c(3L,      3L, 1L, 1L, 3L, 3L, 6L, 2L, 3L, 1L, 4L, 3L, 3L, 1L, 2L, 4L,      4L, 2L, 1L, 1L), remaining_lease_mths = c(698, 677, 679,      692, 1025, 669, 1104, 981, 674, 742, 665, 728, 992, 695,      857, 852, 871, 695, 866, 1095), PROX_CBD = c(8.70928269501252,      8.7589377611275, 8.7589377611275, 8.85689554561162, 8.51090417959469,      8.73211086874077, 8.58683984966127, 8.37940280964872, 8.96374942103709,      8.31995738049774, 8.66747718420982, 8.20083785223568, 9.30017281297198,      8.46158045860266, 8.19182633034048, 8.19182633034048, 8.27332873959955,      8.4016901584654, 8.05276498978228, 9.29204667907952), PROX_ELDERLYCARE = c(0.119444653145476,      0.169235371196244, 0.169235371196244, 0.272187629818594,      0.120425912751251, 0.292319821872094, 0.203840329735754,      0.335901694998922, 0.267188539522683, 0.259768432786295,      0.0441159965049124, 0.41240614163537, 0.677643973897152,      0.0854535518544851, 0.444818640633349, 0.444818640633349,      0.354571010374291, 0.150390524199432, 0.599632276485302,      0.771441336950035), PROX_HAWKER = c(0.281172749103646, 0.330091511745513,      0.330091511745513, 0.446318851105742, 0.166697492306482,      0.436547444862961, 0.433030813326955, 0.203869560106314,      0.393731145214296, 0.387410687724852, 0.357845486047337,      0.35604829505958, 0.445284816601654, 0.266645682444034, 0.553760551741158,      0.553760551741158, 0.610975272844239, 0.205000896629144,      0.560005371648267, 0.172288624542473), PROX_MRT = c(0.379410256905797,      0.338391484905848, 0.338391484905848, 0.372678744867538,      0.608243230971526, 0.600073719023998, 0.751078096441513,      0.62312262100292, 0.71987240697712, 0.705543842504761, 0.874328108605637,      0.805467939952349, 0.258716275079725, 0.681495718287031,      1.08457427678223, 1.08457427678223, 1.0936063211659, 0.747297636603152,      1.12051759514643, 0.459210746913958), PROX_PARK = c(0.513364518506117,      0.469340752260783, 0.469340752260783, 0.479885299937475,      0.368529270986479, 0.617507126900098, 0.52118662053352, 0.394842599629624,      0.60552725382935, 0.517920409018535, 0.691303172853456, 0.393072899865764,      0.166211588513849, 0.773425606080498, 0.374102285306053,      0.374102285306053, 0.477465658778908, 0.784786352249359,      0.30128672956265, 0.354651430366215), PROX_GOOD_PRISCH = c(1.35677240305411,      1.40615721612308, 1.40615721612308, 1.47413984574199, 1.13331232297991,      1.31940815963163, 1.16640042723588, 1.14854892992093, 1.13785719900195,      1.20021801549651, 1.23754792076915, 1.04754826657838, 1.82000438656186,      1.4534383809239, 0.769163347741007, 0.769163347741007, 0.856939381531897,      1.42922442943649, 0.631981624625733, 2.10961489740732), PROX_MALL = c(0.313890580083005,      0.264395031718586, 0.264395031718586, 0.241772845363545,      0.540250505232014, 0.469553394647833, 0.632538285087724,      0.651389947232486, 0.480317195978648, 0.768764019555169,      0.740457696387364, 0.844084234929545, 0.302826744416793,      0.793630348518112, 0.997182626507123, 0.997182626507123,      0.991200103712322, 0.856591768216477, 1.07178760783233, 0.591682371404957     ), PROX_CHAS = c(0.112175615725657, 0.0806835690144568, 0.0806835690144568,      0.157458356405151, 0.0869956868442428, 0.0664211666443358,      0.237191200694799, 0.11938167830482, 0.143131544605207, 0.1066489590073,      0.34300149800099, 0.0460460495231756, 0.258750733988333,      0.161491876005888, 0.311461966699573, 0.311461966699573,      0.413431749899638, 0.14998683096932, 0.167974733321899, 0.116738661463474     ), PROX_SUPERMARKET = c(0.221335227738319, 0.24726445439454,      0.24726445439454, 0.224853982916395, 0.0869967242830128,      0.350370254212894, 0.35437102597818, 0.282093113359979, 0.181164390242962,      0.284909088626731, 0.158725757407685, 0.436961702644775,      0.378001630838772, 0.128302570008396, 0.485938543293979,      0.485938543293979, 0.502190497784501, 0.194600933367586,      0.372458117254617, 0.110756393825321), WITHIN_350M_KINDERGARTEN = c(2L,      2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L,      0L, 0L, 3L, 1L), WITHIN_350M_CHILDCARE = c(7L, 8L, 8L, 7L,      6L, 6L, 5L, 4L, 4L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 4L, 3L, 3L,      5L), WITHIN_350M_BUS = c(6L, 6L, 6L, 7L, 5L, 7L, 4L, 6L,      6L, 7L, 5L, 7L, 9L, 7L, 7L, 7L, 8L, 7L, 5L, 7L), WITHIN_1KM_PRISCH = c(4L,      3L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L,      2L, 3L, 1L, 2L), DNeighbour = c(0, 53.8356705661055, 57.6802961361166,      179.716366664996, 225.687956313882, 293.472946578011, 392.675212184084,      400.35025658408, 560.417741304585, 561.776897142871, 565.80749766352,      594.708102094474, 675.505202528374, 685.795524442176, 697.868024974318,      704.878084770065, 712.304278896049, 736.23281975586, 758.68440663777,      834.696873671262)), row.names = c("446", "386", "194", "397",      "94", "842", "149", "998", "692", "716", "331", "79", "973",      "676", "674", "128", "795", "682", "635", "191"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.991697508786778, 0.990472275089299, 0.909434490333837,      0.859130561265754, 0.768046977260888, 0.606351479625387,      0.592822667226506, 0.301640855018236, 0.299240980467328,      0.292146761576004, 0.24242492899274, 0.11906816543526, 0.105596767744766,      0.090589517560833, 0.08229276148265, 0.0738544062970246,      0.0492894276028492, 0.0302199631092433, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7695263947 
R squared (OOB):                  0.2240856 

$Forests[[447]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(361000, 360000, 328000,      4e+05, 335000, 325000, 333000, 330000, 370000, 360000, 388000,      408000, 345000, 4e+05, 395000, 309000, 325000, 368000, 340000,      348000), floor_area_sqm = c(84, 103, 84, 103, 84, 85, 84,      84, 98, 104, 100, 100, 91, 104, 101, 91, 84, 100, 104, 93     ), storey_order = c(4L, 1L, 4L, 3L, 2L, 1L, 3L, 3L, 2L, 2L,      4L, 4L, 3L, 2L, 4L, 2L, 5L, 2L, 1L, 4L), remaining_lease_mths = c(794,      798, 806, 796, 796, 830, 823, 791, 912, 804, 922, 921, 773,      822, 936, 774, 812, 923, 869, 777), PROX_CBD = c(10.1908965186918,      10.1540744969693, 10.2439629519707, 10.2571858212528, 10.2571858212528,      10.1989356004427, 9.85122377146013, 9.73525531751342, 10.6430674352334,      10.0879656312395, 10.3133134299625, 10.7481925626994, 9.63489497584329,      10.8294299245227, 10.5347600839054, 9.64616581570663, 9.87023127008802,      10.5911430304609, 10.9782438935663, 9.5834162789491), PROX_ELDERLYCARE = c(0.891997547710976,      0.85844301108046, 0.904720646157319, 0.969336561855173, 0.969336561855173,      1.08623091115154, 0.999223533815273, 0.869795033999967, 1.10983952182968,      1.31022889057949, 1.4124150938613, 1.00181077128688, 0.42629854090558,      0.925828280583076, 1.31633228018286, 0.306199433665808, 1.35138892750767,      1.2745451415541, 0.748731634955849, 0.221128007339761), PROX_HAWKER = c(0.594526114354717,      0.614574465644474, 0.616195579705155, 0.543600998034675,      0.543600998034675, 0.368744432216956, 0.526313717816828,      0.687117415591119, 0.494234864614673, 0.196699811405185,      0.0623262564011618, 0.591883114810231, 0.908741650371918,      0.558859907936318, 0.259744380023822, 0.906506968115566,      0.410023469086153, 0.314632743063994, 0.421987441153261,      0.844035637065003), PROX_MRT = c(0.554399001312584, 0.544743966599557,      0.52596302633555, 0.5984056038899, 0.5984056038899, 0.78040997284139,      0.907717901248049, 0.86810604264512, 0.91242151857363, 1.09046737609619,      1.09471398918577, 0.80807654444201, 0.669484450879797, 0.633065114071651,      1.15842683571226, 0.626377719466395, 1.23646610314009, 1.14211364891441,      0.516121726350597, 0.679762822214213), PROX_PARK = c(0.61263038213259,      0.578916018382343, 0.626908579085899, 0.690393008756984,      0.690393008756984, 0.808282577864154, 0.510337594738446,      0.452373350223662, 1.09293299728603, 0.604882226694947, 0.826294351272671,      1.13130385684233, 0.197084482081202, 0.822296725898933, 1.00657829367171,      0.106198450905693, 0.375073916060521, 0.997953552798557,      1.01560706627581, 0.171128410914521), PROX_GOOD_PRISCH = c(1.40421671412888,      1.40445923276907, 1.44855804010835, 1.38840710840139, 1.38840710840139,      1.199846441039, 1.05242409875061, 1.15234422615158, 1.4206810513637,      0.87937610392538, 0.993301788551023, 1.51127824976447, 1.59153495480405,      1.88031331185984, 1.12709017589061, 1.71137279935344, 0.706117631385061,      1.15731102426836, 1.81228643023267, 1.81796659730331), PROX_MALL = c(0.685823836221668,      0.685950169481642, 0.644656189163291, 0.638527944164543,      0.638527944164543, 0.663851500718272, 0.756051767526383,      0.907839978504126, 0.220538248250442, 0.441232897113797,      0.450275200033962, 0.114469773448463, 0.873569112263515,      0.43093778326398, 0.464767570965945, 0.808294932987377, 0.445899708163642,      0.441630162720786, 0.231229629812008, 0.812301361871699),          PROX_CHAS = c(0.151788880767358, 0.170954716034814, 0.155315138624813,          0.0819899420632749, 0.0819899420632749, 0.0710453772718398,          3.39583191183935e-08, 0.116614388177292, 0.0703959269798554,          0.177420148260447, 0.071192987667569, 0.0793642323922721,          0.454068185577158, 0.0390568763467083, 0.272565000598528,          0.415210445937219, 0.0764125853219005, 0.327465416824022,          0.23122963873357, 0.334146331647452), PROX_SUPERMARKET = c(0.152401712794372,          0.171715993026927, 0.18505229065347, 0.123486578338512,          0.123486578338512, 0.00115080458448496, 0.350225948243757,          0.458729641056945, 0.220538485726081, 0.320748009942088,          0.330151298165832, 0.114469867006585, 0.717910522287554,          0.430936681100737, 0.464768447350912, 0.675617328849562,          0.158655939798418, 0.441631117888638, 0.231228589734032,          0.581458245406798), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 2L, 1L,          1L, 1L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          1L, 2L, 2L, 4L, 3L, 2L, 2L, 5L, 4L, 4L, 1L, 4L, 1L, 1L,          5L, 1L, 5L, 3L), WITHIN_350M_BUS = c(12L, 14L, 10L, 10L,          10L, 12L, 10L, 10L, 13L, 11L, 15L, 10L, 5L, 11L, 15L,          8L, 8L, 13L, 9L, 7L), WITHIN_1KM_PRISCH = c(6L, 5L, 6L,          5L, 5L, 4L, 4L, 4L, 6L, 5L, 4L, 6L, 3L, 6L, 4L, 4L, 5L,          4L, 5L, 4L), DNeighbour = c(0, 35.5563095464885, 62.9130704948191,          80.5733668744772, 84.0075118310819, 228.763360187541,          428.123305465602, 474.56497317027, 524.500581180705,          534.04643683439, 553.60267048366, 609.568512676475, 630.106105110083,          661.109611089413, 662.60078252376, 683.970703425545,          700.207418109537, 708.369614353003, 795.019411326629,          805.029232458948)), row.names = c("447", "560", "668",      "494", "591", "967", "129", "921", "627", "292", "513", "866",      "273", "364", "577", "785", "755", "718", "317", "799"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.996102229756138, 0.987822441724278, 0.980065333389162,      0.97833933307188, 0.845018134968955, 0.514343117109054, 0.425742413952392,      0.331210430290214, 0.313506877439329, 0.277830120201429,      0.182028045893601, 0.150049163793669, 0.10600921340218, 0.104035141521766,      0.0773630422361818, 0.0592742831217235, 0.050950722139306,      0.000610762554177812, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       634532372 
R squared (OOB):                  0.2700696 

$Forests[[448]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(398000, 437000, 415000,      495000, 525000, 530000, 420000, 550000, 460000, 490888, 412000,      455000, 589000, 510000, 498000, 550000, 532000, 475000, 455000,      460000), floor_area_sqm = c(93, 93, 93, 93, 97, 95, 93, 95,      92, 93, 90, 93, 96, 97, 93, 98, 96, 92, 92, 92), storey_order = c(1L,      2L, 2L, 5L, 3L, 4L, 1L, 4L, 3L, 5L, 3L, 4L, 6L, 2L, 2L, 4L,      4L, 5L, 5L, 3L), remaining_lease_mths = c(1077, 1076, 1071,      1080, 1098, 1106, 1101, 1115, 1107, 1141, 1034, 1096, 1111,      1104, 1102, 1103, 1111, 1098, 1108, 1097), PROX_CBD = c(14.2040057462849,      14.2040057462849, 14.2040057462849, 14.2035293519974, 14.3488328635023,      14.4087790426081, 14.3298082323417, 13.9206851659757, 14.2518409016409,      14.4799585140632, 13.9701294998534, 14.3469943525049, 13.8838492138892,      13.7787547800329, 13.8269911518463, 13.7784857598507, 13.8842234613226,      14.3437499696049, 14.2694643570804, 14.2694643570804), PROX_ELDERLYCARE = c(0.732225931930739,      0.732225931930739, 0.732225931930739, 0.685279068417721,      0.805205193908325, 0.87860471100088, 0.943112693551276, 0.410984632703067,      0.985840321219444, 1.06862824267944, 0.798789790509628, 1.07571195137499,      0.321249151015697, 0.357313426679343, 0.272443342502121,      0.303554199654945, 0.284905700992106, 1.14464302293932, 1.14423906696184,      1.14423906696184), PROX_HAWKER = c(0.429643877236979, 0.429643877236979,      0.429643877236979, 0.384064154962602, 0.28631929470226, 0.295591155505828,      0.494981643036057, 0.63246529422046, 0.656651462258042, 0.462243392197612,      0.796241674024292, 0.654543769257927, 0.661984274687099,      0.779750574682814, 0.718894335359525, 0.771130061467184,      0.667389882084889, 0.74882220835846, 0.826638245470088, 0.826638245470088     ), PROX_MRT = c(0.339881548667158, 0.339881548667158, 0.339881548667158,      0.289240493397468, 0.320519516131068, 0.258499173090988,      0.122691316210064, 0.247793554682504, 0.189142279194464,      0.082651796212049, 0.262922949537813, 0.131478587775223,      0.202599849124069, 0.373119808041594, 0.250191496834268,      0.334453451125385, 0.172676244118343, 0.217663394995295,      0.30438768875815, 0.30438768875815), PROX_PARK = c(0.735378016798131,      0.735378016798131, 0.735378016798131, 0.69423802629866, 0.585388118838944,      0.572778275466331, 0.760551135167525, 0.9355470513087, 0.785709089572823,      0.682350458092963, 0.929619749314005, 0.731552922713316,      0.953674473627188, 1.07510958061046, 1.00953333913803, 1.07038952907209,      0.946790994443363, 0.636899975343007, 0.599699049952129,      0.599699049952129), PROX_GOOD_PRISCH = c(4.87692111553996,      4.87692111553996, 4.87692111553996, 4.84858590291698, 4.99658730632735,      5.07040230577432, 5.05687720866847, 4.55661004860153, 5.03443000866885,      5.20136656590841, 4.76155598853922, 5.13548460888622, 4.48950135049007,      4.43794264479214, 4.43409233459216, 4.41640053984819, 4.46427355245829,      5.1680916684458, 5.12184985907385, 5.12184985907385), PROX_MALL = c(0.458083927679449,      0.458083927679449, 0.458083927679449, 0.37351280301214, 0.415696526053807,      0.48422641650143, 0.644100917109673, 0.441605558767423, 0.535261743386166,      0.64848155368644, 0.698652085628877, 0.480981762762808, 0.415387276861254,      0.579723774298741, 0.464449368072494, 0.546157830895501,      0.384398044205003, 0.38589862433106, 0.351657486288216, 0.351657486288216     ), PROX_CHAS = c(0.0920652608940773, 0.0920652608940773,      0.0920652608940773, 0.170907589664044, 0.232702657922268,      0.263312743704905, 0.116678641770301, 0.230184731543739,      0.121511881264649, 0.149921511006425, 0.224338502615803,      0.0578525184286013, 0.130388475133542, 0.2330532561781, 0.093713435160417,      0.171232412843018, 0.0936868185767241, 0.0401042229543167,      0.120456720485379, 0.120456720485379), PROX_SUPERMARKET = c(0.0920659899308881,      0.0920659899308881, 0.0920659899308881, 0.170908382081647,      0.232703172737007, 0.263313051629592, 0.116679779166118,      0.23018467784701, 0.121511691834874, 0.149922203205158, 0.281017798180362,      0.0704323341151683, 0.130388583033251, 0.233052713938452,      0.0937132175773042, 0.171231859107883, 0.093687407280864,      0.165776473264822, 0.244158473149448, 0.244158473149448),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 1L, 2L, 1L, 2L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 5L, 6L, 6L,          7L, 4L, 10L, 6L, 7L, 7L, 3L, 4L, 5L, 5L, 3L, 8L, 10L,          10L), WITHIN_350M_BUS = c(9L, 9L, 9L, 9L, 9L, 10L, 9L,          13L, 9L, 6L, 13L, 8L, 9L, 11L, 8L, 7L, 7L, 8L, 9L, 9L         ), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 6L, 5L, 5L,          5L, 6L, 4L, 8L, 4L, 5L, 8L, 5L, 6L, 5L, 5L, 6L, 6L),          DNeighbour = c(0, 2.88075326749017, 3.86257305141699,          84.200152879419, 158.382595788552, 205.933490773601,          219.791218291295, 319.486286487166, 325.828531305584,          342.156149256508, 372.41250334179, 382.25006479862, 408.174478917847,          440.392676466911, 452.76574755588, 461.430297036656,          466.232783998285, 479.6671027905, 516.729321780682, 519.085123231382         )), row.names = c("448", "911", "272", "66", "363", "969",      "688", "516", "73", "979", "301", "488", "723", "549", "376",      "837", "670", "70", "470", "434"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999938403183193, 0.999889262626234, 0.948068942534125,      0.82247224968145, 0.709991818244301, 0.673573414564473, 0.385870684389985,      0.367230683581156, 0.319810896275996, 0.235496334731847,      0.209514018606887, 0.145678280183747, 0.0785202420116159,      0.0572170924872193, 0.0440175494960889, 0.0373531171397131,      0.0213476862796852, 8.20138060322263e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1564983182 
R squared (OOB):                  0.4433036 

$Forests[[449]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(475000, 420000, 480000,      492000, 550000, 455000, 507000, 592000, 635000, 518000, 515000,      330000, 440000, 310000, 470000, 515000, 582000, 370000, 335000,      550000), floor_area_sqm = c(89, 84, 84, 84, 105, 95, 105,      108, 105, 88, 105, 82, 93, 82, 84, 103, 104, 92, 91, 105),          storey_order = c(1L, 2L, 1L, 4L, 3L, 2L, 2L, 2L, 4L,          3L, 2L, 4L, 3L, 5L, 3L, 3L, 3L, 4L, 3L, 2L), remaining_lease_mths = c(789,          777, 789, 788, 786, 784, 770, 810, 833, 770, 762, 657,          759, 656, 813, 823, 935, 699, 754, 786), PROX_CBD = c(7.05609226259357,          7.13486939655985, 7.1729887096531, 7.5632891932167, 7.59960912304084,          7.49071683084666, 7.67544881001386, 7.18468073982128,          7.22087947204147, 7.79515244158294, 7.9455961592131,          6.06674643703895, 5.4791067318598, 5.9699685911294, 6.30150758144434,          6.41432963568309, 5.4901102241405, 8.34406204250889,          8.32334928378694, 6.4090346428634), PROX_ELDERLYCARE = c(1.59520672965634,          1.66246099208497, 1.69705296801524, 1.91313469252559,          1.85656629786719, 1.54524415115482, 1.73611556579875,          1.63490637838594, 1.54373359073656, 1.83577537822547,          1.77517839654503, 0.10409496222889, 0.505585511375112,          4.28110190953706e-07, 0.0580157957368266, 0.101150617829923,          0.157919913507301, 0.224798473876808, 0.163895949541214,          0.336883008423279), PROX_HAWKER = c(1.17571504816288,          1.23225985170817, 1.25907896080059, 1.10032443578502,          1.04404154823438, 0.996854886033364, 0.926505356032751,          1.02937341390922, 1.05968958012269, 1.19066876388205,          0.800389309546525, 0.346985863757343, 0.736115689949186,          0.247906315943116, 0.511576723994062, 0.639366917684312,          0.258924665495, 0.308707066729857, 0.1672780527947, 0.729024203622067         ), PROX_MRT = c(0.487588773645627, 0.448181123975075,          0.428812034955963, 0.433934859087748, 0.492673618184051,          0.34804043957783, 0.617354557404891, 0.13577722868059,          0.206889953987817, 0.499752126280618, 0.75069701440163,          1.1005845300218, 0.797555156120123, 1.03854772657135,          0.911216039334219, 0.753240517287136, 1.30755754576723,          1.14033242259394, 1.03738004469153, 0.631935879685516         ), PROX_PARK = c(0.288106802683489, 0.367092279962757,          0.405529884687165, 0.474041874627479, 0.415297912555755,          0.292176487074364, 0.29052205197453, 0.802458220215738,          0.769170147627311, 0.723268787935639, 0.364839433462782,          0.741200181243785, 0.728040918615253, 0.792968228054446,          0.950460734805334, 0.941128983241434, 0.803347187860442,          0.748901820021747, 0.839050716088865, 0.73120409495038         ), PROX_GOOD_PRISCH = c(2.64150694603645, 2.60671936453148,          2.56840479702555, 2.17804686625686, 2.14133679267892,          2.30076298730527, 2.0690813845722, 2.6636605310312, 2.65891054731874,          1.9917971907287, 1.79538098544694, 1.85819018299306,          2.93310132502147, 1.89588922913119, 1.50990256016426,          1.35156641752108, 2.45379201830723, 1.74338078296013,          1.6197212814627, 1.19038460547274), PROX_MALL = c(0.487675149993812,          0.44210957307938, 0.42122511428052, 0.413593098419561,          0.472342316185911, 0.79872232386887, 0.59706101530086,          0.319563922107573, 0.389192825268572, 0.483735594398556,          0.730136421618933, 1.22044581333525, 0.719613179783111,          1.25835483053691, 0.872189526609738, 0.713954983197348,          1.21674302842157, 0.813314037197816, 0.952850965311535,          0.56447134405004), PROX_CHAS = c(0.464118937564998, 0.395328272461269,          0.364873472162596, 5.15903103580734e-08, 0.0587537711423344,          0.204927614889482, 0.183520259224292, 0.244287808759251,          0.201367273106442, 0.157541179554435, 0.312128892467037,          0.252393584019624, 0.0706483510319072, 0.21461630683628,          0.0940735950578242, 0.15014885052256, 0.233242749827373,          0.347263729641395, 0.218034921212892, 0.141339892509329         ), PROX_SUPERMARKET = c(0.438288204779491, 0.392878094873427,          0.372543253077343, 0.0709823460282706, 0.121599745844786,          0.535956758401375, 0.242167451420959, 0.350395790631763,          0.425467495913439, 0.305647853022819, 0.390939423908347,          0.321431524942613, 0.0706487501399716, 0.227231659318009,          0.469210677159174, 0.519047869620273, 0.37596142908425,          0.624544400837596, 0.502751024921131, 0.360911693423373         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 1L, 1L, 1L, 0L,          1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 2L, 2L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 4L, 3L, 4L, 5L, 3L,          5L, 6L, 7L, 2L, 4L, 2L, 2L, 2L, 4L, 4L, 3L, 1L, 1L, 5L         ), WITHIN_350M_BUS = c(5L, 7L, 8L, 9L, 8L, 4L, 8L, 12L,          11L, 10L, 7L, 6L, 3L, 8L, 7L, 7L, 10L, 5L, 4L, 9L), WITHIN_1KM_PRISCH = c(2L,          3L, 3L, 3L, 4L, 4L, 4L, 1L, 1L, 2L, 3L, 5L, 2L, 4L, 4L,          3L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 80.2138539318024,          122.004647460916, 519.541956942628, 542.698865100301,          556.243567612584, 617.992919103103, 705.715017491961,          795.935745502325, 849.40560192674, 886.435800541795,          1504.65334927347, 1579.35780268389, 1597.65041775031,          1624.84646556936, 1688.14801589446, 1755.46453050199,          1864.46364210992, 1939.77661402178, 1945.30012891099)), row.names = c("449",      "82", "133", "829", "735", "950", "647", "370", "344", "209",      "345", "628", "802", "920", "417", "114", "307", "204", "713",      "269"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996602291178799,      0.99214846587169, 0.862429251170851, 0.850398313671151, 0.843159203869374,      0.808337941279016, 0.754102982517688, 0.69320521517164, 0.655033067610269,      0.627826547446466, 0.161384275270169, 0.116175025578846,      0.105941828482489, 0.0914020880896315, 0.0609637488433364,      0.034466071549402, 0.00662314852056616, 3.21576126510371e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5044818077 
R squared (OOB):                  0.3687372 

$Forests[[450]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(343000, 345000, 370000,      350000, 310000, 325000, 380000, 295000, 370000, 320000, 390000,      345000, 380000, 345000, 420000, 420000, 340000, 365000, 345000,      415000), floor_area_sqm = c(102, 103, 103, 104, 104, 104,      93, 105, 93, 106, 126, 114, 93, 104, 93, 92, 101, 104, 102,      104), storey_order = c(5L, 5L, 4L, 2L, 1L, 1L, 1L, 1L, 1L,      1L, 2L, 2L, 1L, 4L, 3L, 6L, 5L, 2L, 2L, 2L), remaining_lease_mths = c(935,      944, 881, 863, 879, 872, 1142, 870, 1139, 851, 879, 839,      1138, 862, 1139, 1104, 943, 828, 935, 875), PROX_CBD = c(15.6558233565228,      15.6615925135045, 15.9139497277605, 15.9139497277605, 15.9652370890998,      15.9652370890998, 15.6174435761395, 16.027241877126, 15.8422849591204,      15.9983120826665, 16.1769042321823, 15.4582319270764, 15.9652529785268,      16.2035530975804, 15.9652529785268, 16.0058570800758, 15.9284058495794,      15.6198573118901, 16.0814208174046, 15.8781143296649), PROX_ELDERLYCARE = c(0.268146833149962,      0.372854461013726, 0.471057675436291, 0.471057675436291,      0.372962984236141, 0.372962984236141, 0.457575537702088,      0.401697186037664, 0.241353796602158, 0.541237256511776,      0.382017171357745, 0.319622441582349, 0.120425003900544,      0.462412199513001, 0.120425003900544, 0.0922651494707867,      0.260351961534281, 0.497975502399054, 0.129424766752979,      0.633288957745621), PROX_HAWKER = c(2.27183532495414, 2.39243139523594,      2.34701070601947, 2.34701070601947, 2.45115541279444, 2.45115541279444,      2.21004723991438, 2.44772974464855, 2.37354129025836, 2.1818192257633,      2.55739022352562, 1.7245004017694, 2.36922200206298, 2.51024920878341,      2.36922200206298, 2.393526972262, 2.2342618496891, 1.6566914426712,      2.40830007300065, 1.79301822351461), PROX_MRT = c(0.370313443989706,      0.499275570100955, 0.424613907535265, 0.424613907535265,      0.52727924180445, 0.52727924180445, 0.70935210619912, 0.538616250543522,      0.721786411333246, 0.364450998520493, 0.674610535324426,      0.233994550027949, 0.886101680623091, 0.65447898159524, 0.886101680623091,      0.910164710677637, 1.02417718077332, 0.297714051615291, 1.00126993569874,      0.159697283923578), PROX_PARK = c(1.16446299803307, 1.19384102986047,      1.30337713627377, 1.30337713627377, 1.39203600576681, 1.39203600576681,      1.21748666352844, 1.35146177086674, 1.42084473696832, 1.05372411430502,      1.39748820590438, 0.998254167239372, 1.58077599563476, 1.32632916723033,      1.58077599563476, 1.6216647961598, 1.61207436869795, 0.782164021798725,      1.7154732425778, 0.678969217742802), PROX_GOOD_PRISCH = c(5.73062396037349,      5.71328270316738, 5.99275530970335, 5.99275530970335, 6.02718330754398,      6.02718330754398, 5.63578467655705, 6.09534233388474, 5.8611108446886,      6.12314921566155, 6.23706483495109, 5.64801716169655, 5.96493131981452,      6.27623366830878, 5.96493131981452, 6.00411547246196, 5.90870946924896,      5.84268664292306, 6.0710937852797, 6.09357654169244), PROX_MALL = c(0.155488337640192,      0.238209845871265, 0.338688619983659, 0.338688619983659,      0.238316612740974, 0.238316612740974, 0.401390812484646,      0.275346491924215, 0.177442774283774, 0.45623102577182, 0.292722816398213,      0.455554164929496, 0.18546430077947, 0.370949542105629, 0.18546430077947,      0.187934498474296, 0.350369242497661, 0.394873468760787,      0.261655001598387, 0.145699923430919), PROX_CHAS = c(0.155488306171375,      0.238209795937414, 0.338688583692834, 0.338688583692834,      0.238316573509266, 0.238316573509266, 0.187858028295528,      0.275346446899555, 0.177442804982894, 0.290215734280461,      0.292722768811081, 0.158017550603297, 0.185464348558652,      0.370949494121523, 0.185464348558652, 0.187934543511456,      0.35036929019185, 0.28481487293308, 0.26165503944411, 0.0723222156351423     ), PROX_SUPERMARKET = c(0.152010752053411, 0.238833101010687,      0.112474666082431, 0.112474666082431, 0.177610526119132,      0.177610526119132, 0.412009517866082, 0.141316208924405,      0.197153631350279, 0.162067612034701, 0.254565333705719,      0.387973705585917, 0.198556813498254, 0.235998227482853,      0.198556813498254, 0.197516435852273, 0.363015443397577,      0.407244625741832, 0.265481412722203, 0.157892159590583),          WITHIN_350M_KINDERGARTEN = c(4L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 2L, 1L, 5L, 1L, 1L, 3L, 1L, 1L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(8L, 5L, 9L, 9L, 6L, 6L,          3L, 8L, 7L, 6L, 8L, 8L, 5L, 5L, 5L, 5L, 3L, 3L, 5L, 3L         ), WITHIN_350M_BUS = c(14L, 16L, 15L, 15L, 14L, 14L,          15L, 12L, 15L, 12L, 9L, 14L, 15L, 7L, 15L, 14L, 10L,          9L, 13L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 2L,          3L), DNeighbour = c(0, 128.778152517185, 270.725666376762,          270.975123583499, 319.977171391392, 321.033451873968,          341.615904868311, 378.184826237494, 380.138518948208,          452.022873435184, 526.302195179672, 542.828573870813,          548.651965482951, 555.152151133609, 557.284074585121,          582.731209790037, 669.796764969305, 670.70389414326,          676.248047177332, 711.990254741948)), row.names = c("450",      "572", "927", "959", "490", "566", "766", "463", "585", "888",      "54", "383", "913", "806", "137", "154", "705", "304", "890",      "510"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.93564182216025,      0.731741927643108, 0.731285944573488, 0.63684963508989, 0.634719627065463,      0.592573476814589, 0.515327233731985, 0.511139788128732,      0.356334012761581, 0.205739750262469, 0.175335493363712,      0.164992234387559, 0.153694320005255, 0.15004796930533, 0.108987924990929,      0.0132274739123342, 0.0126814599824318, 0.00958064157369361,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       982293469 
R squared (OOB):                  0.2007907 

$Forests[[451]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(363000, 388000, 392000,      335000, 417000, 340888, 355000, 375000, 320000, 343000, 315000,      333000, 297000, 335000, 3e+05, 335000, 314000, 450000, 325000,      415000), floor_area_sqm = c(104, 104, 113, 114, 92, 107,      104, 108, 91, 107, 90, 108, 90, 90, 106, 105, 91, 93, 90,      104), storey_order = c(5L, 6L, 2L, 3L, 2L, 4L, 4L, 2L, 8L,      2L, 5L, 4L, 2L, 3L, 2L, 2L, 3L, 4L, 5L, 2L), remaining_lease_mths = c(918,      904, 933, 904, 1120, 883, 882, 909, 995, 907, 1001, 895,      995, 979, 941, 938, 985, 1131, 992, 875), PROX_CBD = c(16.295166477654,      16.3777502460772, 16.6579104452557, 16.3642048862006, 16.7161737209409,      16.7669966667855, 16.7669966667855, 16.9875722318911, 16.7093180086981,      17.2160129653012, 16.8082045368238, 16.5397910410307, 16.901501451739,      17.0600275230943, 17.3741762112269, 17.3741762112269, 17.0716695500607,      15.1194109037639, 17.2610384590751, 15.8781143296649), PROX_ELDERLYCARE = c(0.514795208711411,      0.465083314136851, 0.409372351007212, 0.361422596457277,      9.26628957858198e-07, 0.121542639162494, 0.121542639162494,      0.636322412867891, 0.935779967581661, 0.574386357445605,      1.15380285023885, 0.706939892416911, 1.16689850532437, 1.09431476347566,      0.815153211361198, 0.815153211361198, 1.21621641692937, 0.632846087105322,      1.12094638660826, 0.633288957745621), PROX_HAWKER = c(1.47281657351752,      1.54627052523026, 1.80129318596364, 1.67761333691466, 1.96687058888139,      2.05474291859885, 2.05474291859885, 2.10596394293278, 1.82495077083007,      2.37357884684332, 1.94950915107796, 2.14655926815246, 2.0413146444202,      2.18272534115171, 2.50067722531469, 2.50067722531469, 2.2102134433082,      0.399490681633122, 2.37726799660773, 1.79301822351461), PROX_MRT = c(0.504795745143921,      0.419412974707088, 0.128609360773056, 0.653367521351592,      0.427108887982576, 0.53300655679357, 0.53300655679357, 0.252669932820992,      0.522077155701705, 0.453815632281196, 0.730447684580082,      0.460645764817668, 0.740013435080822, 0.673816738147829,      0.590831178240684, 0.590831178240684, 0.793158171270894,      0.674936552563307, 0.729621307242001, 0.159697283923578),          PROX_PARK = c(0.48638578612152, 0.571339732684777, 0.826869373992433,          0.32735774848914, 0.688779163701323, 0.722711239268322,          0.722711239268322, 1.18807543108152, 1.17885821480356,          1.24959985284921, 1.39545287332227, 0.711243459523284,          1.46267930314228, 1.5130077643247, 1.47164498360674,          1.47164498360674, 1.59669720594139, 0.773048101136696,          1.64853798443183, 0.678969217742802), PROX_GOOD_PRISCH = c(6.80828229467371,          6.89348817522951, 7.18541951227303, 6.76031366250815,          7.12110535783693, 7.13952904562396, 7.13952904562396,          7.55033959010056, 7.40748446052123, 7.68034428555912,          7.5739079893598, 6.77397603493671, 7.66085245964853,          7.76907239486735, 7.888904100652, 7.888904100652, 7.82238149093771,          5.74516136190441, 7.93716312588154, 6.09357654169244),          PROX_MALL = c(0.510483215269896, 0.427317836890542, 0.168053149288668,          0.388175183991252, 0.337595745740984, 0.27529824968273,          0.27529824968273, 0.165557901737932, 0.484270435079706,          0.413606644895247, 0.677813655888015, 0.345326846187852,          0.678684538412688, 0.597930181439745, 0.521008948961951,          0.521008948961951, 0.719585865775528, 0.744876648240093,          0.644198936007264, 0.145699923430919), PROX_CHAS = c(0.513107963149175,          0.429996386722335, 0.170995488718356, 0.380772978950647,          0.279591917356114, 0.222759343861358, 0.222759343861358,          0.194474796894964, 0.52365796939069, 0.303266380929536,          0.71936188995133, 0.286223989121013, 0.720584477651296,          0.638199243310692, 0.524369302913132, 0.524369302913132,          0.760340467100735, 0.0812821875339188, 0.678651577140463,          0.0723222156351423), PROX_SUPERMARKET = c(0.471223408024363,          0.386156989530241, 0.103652200866821, 0.422789252098693,          0.344537051235884, 0.243987988302975, 0.243987988302975,          0.284398337107734, 0.555366708418936, 0.387759857324111,          0.768274584157999, 0.377165028023417, 0.780695486504835,          0.718466194952364, 0.559408220033625, 0.559408220033625,          0.837223205851576, 0.325050502595441, 0.771245719522698,          0.157892159590583), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          5L, 4L, 6L, 5L, 5L, 4L, 1L, 5L, 1L, 1L, 1L, 2L, 4L, 4L,          2L, 3L, 3L, 3L), WITHIN_350M_BUS = c(7L, 8L, 9L, 6L,          12L, 11L, 11L, 11L, 8L, 5L, 9L, 2L, 7L, 7L, 2L, 2L, 5L,          12L, 5L, 7L), WITHIN_1KM_PRISCH = c(3L, 4L, 4L, 3L, 4L,          3L, 3L, 4L, 3L, 4L, 2L, 3L, 2L, 2L, 4L, 4L, 2L, 3L, 2L,          3L), DNeighbour = c(0, 86.4019502383659, 375.069742722766,          380.447874547716, 518.554441664392, 624.878386127711,          627.372271123622, 742.421128658624, 753.083123339816,          919.681790919327, 979.12914752859, 1002.03887418742,          1038.60057109448, 1056.47945345189, 1095.18176344852,          1096.09612115503, 1152.7343539326, 1174.72234013556,          1176.1798222949, 1185.63733740734)), row.names = c("451",      "820", "918", "252", "261", "673", "898", "125", "156", "326",      "121", "498", "416", "208", "813", "822", "431", "299", "525",      "510"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.989407008194712,      0.80986719231925, 0.804673081856972, 0.654017053883673, 0.521614387375788,      0.518410330114737, 0.369542334310237, 0.355880353019316,      0.15865234912748, 0.101132140969789, 0.0816388169383522,      0.0541261196177484, 0.0424376019418073, 0.0215399594011334,      0.0211236192275415, 0.00299564384621933, 0.000335889298360759,      0.000252487083348174, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1170364401 
R squared (OOB):                  0.3277299 

$Forests[[452]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 412000, 390000,      350000, 390000, 350000, 380000, 395000, 390000, 377000, 350000,      368888, 340000, 375000, 385000, 420000, 368000, 350000, 4e+05,      370000), floor_area_sqm = c(93, 92, 92, 92, 93, 93, 92, 93,      92, 92, 92, 92, 92, 92, 92, 92, 92, 104, 96, 92), storey_order = c(3L,      3L, 4L, 1L, 3L, 1L, 2L, 4L, 2L, 2L, 1L, 2L, 2L, 1L, 3L, 4L,      2L, 3L, 2L, 1L), remaining_lease_mths = c(1110, 1128, 1142,      1131, 1113, 1111, 1142, 1108, 1128, 1135, 1111, 1102, 1133,      1139, 1132, 1133, 1100, 812, 1098, 1090), PROX_CBD = c(14.607628567626,      14.5596883563906, 14.5596883563906, 14.6346875310408, 14.6879879340018,      14.6221320584002, 14.4940333615496, 14.6649260398624, 14.5136499050456,      14.5662038835035, 14.8482953663728, 14.8482953663728, 14.8395197777251,      14.8395197777251, 14.9536689261967, 14.7615340778399, 14.9752079088984,      14.8739209120931, 15.0414874321427, 15.0414874321427), PROX_ELDERLYCARE = c(0.363539264939185,      0.399519357429504, 0.399519357429504, 0.318998242024868,      0.267910637295867, 0.410896008057539, 0.500918112427577,      0.374463671675583, 0.440212280139716, 0.396119369193007,      0.157028625587627, 0.157028625587627, 0.143171284390361,      0.143171284390361, 1.13414610370389e-06, 0.301679225956583,      0.199763345782594, 0.224374856243457, 0.180026828914976,      0.180026828914976), PROX_HAWKER = c(0.571839614015762, 0.625641729464286,      0.625641729464286, 0.567748890704442, 0.507741768149319,      0.55845452984231, 0.682637638745144, 0.515424723672587, 0.681591249319273,      0.661743266121302, 0.332945546865787, 0.332945546865787,      0.426817039061835, 0.426817039061835, 0.283688306330561,      0.582527401679673, 0.202333554334061, 0.490895901627697,      0.135868389364205, 0.135868389364205), PROX_MRT = c(1.42703012637354,      1.46473462254762, 1.46473462254762, 1.53691575721219, 1.51619569366002,      1.30119397664661, 1.32800225952209, 1.31347134818138, 1.51230084146916,      1.61118001364451, 1.41585626072206, 1.41585626072206, 1.58589972239689,      1.58589972239689, 1.45204946878565, 1.75082728996661, 1.27457972333389,      1.67344316225132, 1.27219969611937, 1.27219969611937), PROX_PARK = c(0.592644125813336,      0.656743209310805, 0.656743209310805, 0.633519966923, 0.573128508978659,      0.524601749565547, 0.65941869562705, 0.48594234877488, 0.723946747094916,      0.741043428920938, 0.40224168015695, 0.40224168015695, 0.573834160005083,      0.573834160005083, 0.447466290733612, 0.739209778966795,      0.259935562114549, 0.671840643384197, 0.270313948020077,      0.270313948020077), PROX_GOOD_PRISCH = c(5.28617698570013,      5.25302892838613, 5.25302892838613, 5.34297669438126, 5.38500296681299,      5.26427170666348, 5.15263130971644, 5.30673314037113, 5.22451833965112,      5.30307595814772, 5.51627049340211, 5.51627049340211, 5.56483468018996,      5.56483468018996, 5.64958645026222, 5.53447364393692, 5.6171537261999,      5.63420261242257, 5.69200203864946, 5.69200203864946), PROX_MALL = c(0.523782484457491,      0.550646738699849, 0.550646738699849, 0.633302242537752,      0.626246838364162, 0.412850725186958, 0.407798057490129,      0.439421746266814, 0.591658790399046, 0.69438942428714, 0.649229394533883,      0.649229394533883, 0.805396060532061, 0.805396060532061,      0.806257336881612, 0.897398400321744, 0.689421511186311,      0.927972955155417, 0.767711199656331, 0.767711199656331),          PROX_CHAS = c(0.198893245072118, 0.19650938121062, 0.19650938121062,          0.120955806912261, 0.160113448728027, 0.0938393111767789,          0.0559452214520875, 0.0969357032130768, 0.179710137259641,          0.0799578054615725, 0.274130336331615, 0.274130336331615,          0.204546662914522, 0.204546662914522, 0.14456617920399,          0.166975848000366, 0.230775629929228, 0.25243947150411,          0.163757574589084, 0.163757574589084), PROX_SUPERMARKET = c(0.223766299699327,          0.27843134046436, 0.27843134046436, 0.327836032489634,          0.300165340388346, 0.0938384818523742, 0.202112654374605,          0.0969351949685631, 0.343491998264143, 0.41943325951703,          0.296829834724774, 0.296829834724774, 0.280088374069707,          0.280088374069707, 0.16127040484797, 0.408349928269047,          0.264202614673064, 0.298947211163532, 0.197268674737732,          0.197268674737732), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 3L,          3L, 6L, 6L, 6L, 4L, 6L, 4L, 3L, 5L, 5L, 5L, 5L, 7L, 3L,          4L, 3L, 4L, 4L), WITHIN_350M_BUS = c(7L, 7L, 7L, 8L,          7L, 9L, 9L, 8L, 6L, 6L, 9L, 9L, 5L, 5L, 6L, 4L, 9L, 6L,          9L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L,          3L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 69.8254105493848, 72.9853432336123,          111.751578972102, 111.980535918584, 125.471679066543,          136.156718283865, 136.464826383793, 142.666826255533,          201.038615368222, 236.296588494446, 237.075752116032,          306.872777989036, 308.374996709889, 368.401284229669,          377.958656042126, 378.920729106562, 418.090659646768,          438.15469085748, 439.184997973991)), row.names = c("452",      "961", "163", "583", "469", "324", "702", "17", "706", "368",      "762", "195", "543", "152", "139", "620", "558", "602", "632",      "793"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.950084192181237,      0.945528721429557, 0.87470021186502, 0.874203522221192, 0.843421881126537,      0.817011299123497, 0.81622423939321, 0.800087418242681, 0.624829272549509,      0.504837395661993, 0.502123722705039, 0.261911669057637,      0.257030119035018, 0.0878323634198979, 0.0672796096183702,      0.065335416348677, 0.00878987728283059, 2.19623579147396e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       478845273 
R squared (OOB):                  -0.01080964 

$Forests[[453]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(550000, 715000, 680000,      662000, 675000, 710000, 672000, 660000, 340000, 440000, 4e+05,      363000, 358000, 575000, 345000, 390000, 430000, 370000, 430000,      355000), floor_area_sqm = c(102, 95, 95, 95, 95, 93, 85,      85, 84, 91, 104, 84, 84, 101, 84, 84, 104, 84, 92, 84), storey_order = c(3L,      6L, 4L, 3L, 2L, 6L, 5L, 3L, 1L, 5L, 2L, 4L, 3L, 6L, 1L, 1L,      2L, 3L, 2L, 3L), remaining_lease_mths = c(761, 1099, 1084,      1093, 1093, 1084, 1042, 1032, 780, 669, 783, 780, 770, 932,      789, 783, 781, 777, 687, 782), PROX_CBD = c(6.04257091454572,      6.06656257116635, 6.04001281876484, 6.11286474740545, 6.15852201326599,      6.17931132662417, 6.58265946872266, 6.62545736407856, 6.73119135364588,      6.95185067667089, 6.8579883001408, 6.82164733234375, 6.82164733234375,      5.56255806753875, 7.23308787648785, 4.91139217141794, 7.27303659463988,      7.32999369210923, 5.17330173892321, 7.37752466520609), PROX_ELDERLYCARE = c(0.548656319889636,      0.516985202466339, 0.545921172841312, 0.471592353212743,      0.428116600598184, 0.411122241220865, 0.129826558983194,      0.121758896932011, 0.709869492714774, 0.368543492371998,      0.650979480304367, 0.729511559050305, 0.729511559050305,      0.0599829320550621, 0.804640181087392, 0.53976690699019,      0.949520652768775, 1.04617467786566, 0.151830290872251, 1.11141904944431     ), PROX_HAWKER = c(0.19523132016882, 0.0900485470251793,      0.0606577495598573, 0.0855319563513606, 0.104458461300263,      0.114709112077857, 0.37361464573735, 0.33268573973532, 0.84617550022745,      0.163396016993116, 0.732876252375814, 0.834207881424508,      0.834207881424508, 0.248163252655802, 0.727393295990439,      0.526793317066312, 0.905159668549179, 1.00458194418859, 0.261285820740611,      1.06790139631185), PROX_MRT = c(0.448203274012385, 0.530436532640755,      0.53617676606472, 0.576684647572531, 0.567634817298681, 0.54480998513683,      0.288098631383321, 0.255638745600017, 0.447149108468339,      0.258776848421036, 0.479854345281657, 0.401668294921849,      0.401668294921849, 0.389634730949481, 0.626719191507479,      0.348715950460643, 0.477339162120678, 0.446590670593176,      0.568944969773001, 0.450606800129455), PROX_PARK = c(0.651264615899835,      0.548254609843109, 0.524571131123829, 0.517760851715104,      0.487498062645995, 0.461766774013401, 0.734858817801552,      0.741691321664553, 1.30601230217613, 0.871860056746433, 1.26891760289394,      1.33915084667526, 1.33915084667526, 0.136342453682232, 1.17683143601381,      0.454973393404149, 1.28136359713013, 1.30043300411079, 0.375618223612072,      1.30417314517193), PROX_GOOD_PRISCH = c(2.14268529299874,      2.03651743937875, 2.00925132829891, 2.00772186702724, 1.97696478280336,      1.95037752635058, 2.10026546945211, 2.08436883673306, 2.67147237000904,      1.99104033276262, 2.57894825178105, 2.67483404440455, 2.67483404440455,      3.30515733544794, 2.53413597667736, 3.07957394860643, 2.72285479219865,      2.81856751915823, 3.5160560831601, 2.87682745937193), PROX_MALL = c(0.264532440460292,      0.365617038961166, 0.387042201482337, 0.403935094648282,      0.446404896609829, 0.476611693189829, 0.712222885156031,      0.757747380414752, 0.894914409230097, 1.10491400246256, 0.985446043286547,      0.977306285381771, 0.977306285381771, 0.719385659919303,      1.33824767405872, 0.779372162435287, 1.40144317349524, 1.4733570331857,      0.96360119165526, 1.52964479685301), PROX_CHAS = c(0.12619956254809,      0.0929349198733403, 0.134421273847083, 0.0679258481743644,      0.0766942583569258, 0.10259225576309, 0.19769969897302, 0.152169077912936,      0.468632365618207, 0.197049444171332, 0.418063314797021,      0.389404577789016, 0.389404577789016, 0.174009235365936,      0.335243362149438, 0.297280152993809, 0.150676124399865,      0.100781853121145, 0.213267381067323, 0.123680988169118),          PROX_SUPERMARKET = c(0.178930757423705, 0.0785030623714358,          0.0393286469640316, 0.0895469396191502, 0.11965836137487,          0.134806953278168, 0.255985378039003, 0.21094349839638,          0.541263540151477, 0.145490551360364, 0.471666412940503,          0.457775852816324, 0.457775852816324, 0.173881454941229,          0.400791637001426, 0.212061147632098, 0.216512452964216,          0.154588063793208, 0.266791583668656, 0.15284622075069         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 1L, 1L,          0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 4L, 3L, 3L, 3L,          0L, 0L, 2L, 3L, 1L, 1L, 1L, 4L, 2L, 2L, 4L, 4L, 4L, 5L         ), WITHIN_350M_BUS = c(7L, 8L, 8L, 6L, 6L, 6L, 2L, 2L,          4L, 4L, 3L, 4L, 4L, 2L, 4L, 7L, 7L, 8L, 4L, 9L), WITHIN_1KM_PRISCH = c(1L,          1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L,          2L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 110.996228401513,          136.40281793502, 137.629754793169, 180.666733038273,          213.890542472542, 537.523931212659, 573.693954778627,          888.92845359348, 909.597864871322, 933.543593797892,          961.087146506033, 961.421428769167, 1187.43838086276,          1235.16626627434, 1255.68403621571, 1328.9730948325,          1418.64523808679, 1465.87345175783, 1482.0558616481)), row.names = c("453",      "297", "930", "536", "23", "756", "388", "841", "529", "492",      "168", "322", "46", "596", "171", "251", "611", "187", "270",      "948"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.988813413181051,      0.983130420939976, 0.982826893965366, 0.970500251511057,      0.958777199980396, 0.754218234430982, 0.722769892527785,      0.40991617390639, 0.388530897505565, 0.363885075092204, 0.335786145008459,      0.335447141495134, 0.128208466841677, 0.0932819395727413,      0.079610586350975, 0.038381765809317, 0.00701248125820977,      0.000471696042446102, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5679816536 
R squared (OOB):                  0.7329896 

$Forests[[454]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(510000, 5e+05, 407000,      537000, 475000, 476000, 355000, 375000, 620000, 680000, 685000,      680000, 753000, 8e+05, 748000, 945500, 912000, 7e+05, 755000,      688000), floor_area_sqm = c(93, 103, 82, 106, 103, 103, 82,      82, 103, 91, 93, 85, 87, 90, 107, 87, 87, 93, 90, 85), storey_order = c(4L,      1L, 5L, 4L, 2L, 2L, 2L, 3L, 2L, 3L, 4L, 2L, 5L, 7L, 2L, 8L,      3L, 1L, 2L, 4L), remaining_lease_mths = c(746, 773, 661,      760, 781, 774, 656, 645, 911, 984, 1115, 1066, 1104, 1063,      899, 1143, 1142, 625, 983, 964), PROX_CBD = c(3.46549777590634,      3.24578829573265, 3.63085360417079, 3.12641734116327, 3.09516181063763,      3.09516181063763, 3.73116287154914, 3.68559345068932, 2.86182045335715,      2.86455481676114, 2.56060478168524, 2.96405104980333, 2.5775653440094,      2.97610984462207, 2.52364731081334, 2.51922626320824, 2.51922626320824,      2.09358084499411, 2.01305703462688, 3.98134497452694), PROX_ELDERLYCARE = c(0.22080460703487,      0.461566734593474, 0.233260955843543, 0.570344367187993,      0.614909460801077, 0.614909460801077, 0.501456868829436,      0.466665237090727, 0.334062202372697, 0.111411798512938,      0.303984777605612, 0.206690358794928, 0.283170941801308,      0.249991250520312, 0.132133546591398, 1.25853619714168e-06,      1.25853619714168e-06, 0.442569764285143, 0.301111196915018,      0.168717999980802), PROX_HAWKER = c(0.288924403117312, 0.461305554076076,      0.0974836441417274, 0.582032517556358, 0.524942013349153,      0.524942013349153, 0.311969910328466, 0.28293755865871, 0.231089093207534,      0.302651224916382, 0.450094806637729, 0.344572110572533,      0.447120961378381, 0.405863058813757, 0.315417458803045,      0.187177165934232, 0.187177165934232, 0.103399879312882,      0.439754799726314, 0.262344394473714), PROX_MRT = c(0.855873415641472,      1.11057161001852, 0.897060452829867, 1.19588154804183, 1.19880844528061,      1.19880844528061, 1.10221151459309, 1.17490863944549, 0.819080841065402,      0.391395986196982, 0.546591463865751, 0.377919714857806,      0.499107329029013, 0.337225216160626, 0.277076743329557,      0.243725266054354, 0.243725266054354, 0.681532284353367,      0.650763936895186, 0.310254962870727), PROX_PARK = c(0.78484111030831,      0.856773721705297, 0.512523364266062, 0.971029675538415,      0.971409228458194, 0.971409228458194, 0.271761978726623,      0.304435062988112, 0.609617368578913, 0.399002951856213,      0.21329655328302, 0.495024008458079, 0.18481391877062, 0.4671588721782,      0.163253442595557, 0.28862748451296, 0.28862748451296, 0.400473707610266,      0.806729342800227, 0.894232249415992), PROX_GOOD_PRISCH = c(5.67094725420518,      5.51078547454581, 5.4842432173218, 5.52416256345089, 5.46565510857314,      5.46565510857314, 5.22570836776045, 5.15997579188296, 5.1514664212482,      4.71207116352008, 4.93746215949662, 4.62297298452196, 4.89009258041755,      4.56048774292729, 4.61812725480087, 4.50145006484821, 4.50145006484821,      4.81109980295855, 6.32589195448141, 3.868083844602), PROX_MALL = c(1.56665946009711,      1.33172083977874, 1.51733094855201, 1.29251563056945, 1.2281628510896,      1.2281628510896, 1.41171259857663, 1.3376464242075, 0.848351644608041,      0.420489734799516, 0.572150632107275, 0.404565296260845,      0.524781909718914, 0.362094853274792, 0.290995843291254,      0.244046547559164, 0.244046547559164, 0.685370188976197,      0.368960166061844, 1.18273225000282), PROX_CHAS = c(0.173647795570322,      0.0869328465249217, 0.318203164684035, 0.202999736112437,      0.240903750709302, 0.240903750709302, 0.261237260735983,      0.216565147674259, 0.159666076311523, 0.110042750971165,      0.0640474788759872, 0.0506108453744785, 0.0301364724824846,      0.111500209373212, 0.0122221533760307, 0.0462846720247782,      0.0462846720247782, 0.165994533154508, 0.298496878246672,      0.145112311632742), PROX_SUPERMARKET = c(0.173649067116538,      0.0869315055470345, 0.318204198369299, 0.202998478162502,      0.240902416159861, 0.240902416159861, 0.301923436189205,      0.252487697752149, 0.360029455717415, 0.110042446678578,      0.315915165677582, 0.0506107476035619, 0.275738565320567,      0.111500172768761, 0.0373112013983995, 0.169442491353445,      0.169442491353445, 0.346795592234613, 0.364789845186166,      0.252387257990654), WITHIN_350M_KINDERGARTEN = c(0L, 0L,      0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L,      1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 2L, 1L, 2L, 2L,      2L, 3L, 3L, 3L, 4L, 4L, 3L, 4L, 3L, 6L, 4L, 4L, 4L, 4L, 3L     ), WITHIN_350M_BUS = c(9L, 6L, 11L, 5L, 4L, 4L, 9L, 10L,      4L, 7L, 3L, 7L, 3L, 4L, 6L, 4L, 4L, 7L, 10L, 12L), WITHIN_1KM_PRISCH = c(2L,      2L, 2L, 2L, 3L, 3L, 2L, 2L, 3L, 4L, 3L, 4L, 2L, 3L, 2L, 2L,      2L, 1L, 1L, 1L), DNeighbour = c(0, 260.948045660557, 276.373410786857,      356.570530833788, 402.386319737403, 406.404807849291, 553.512662257698,      587.116008054718, 778.668036758025, 1148.84192263693, 1177.71889074886,      1179.36169276707, 1201.84411454781, 1237.52195047946, 1492.71853034947,      1608.69384597269, 1611.91533832796, 1726.04504003166, 1735.00428456571,      1866.20208544534)), row.names = c("454", "192", "742", "48",      "134", "126", "432", "683", "561", "968", "390", "389", "999",      "319", "65", "816", "550", "824", "567", "375"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.96127831885548, 0.956617315048085, 0.928319180826268, 0.909179375134142,      0.907400588198596, 0.831797543045735, 0.811844000308821,      0.682118369416206, 0.385680019215869, 0.362091852819046,      0.360755010208715, 0.342525894063298, 0.313899766641934,      0.129750119463965, 0.0660132603644066, 0.064491317743859,      0.0208991006597399, 0.0184040942527714, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7742515068 
R squared (OOB):                  0.7311136 

$Forests[[455]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(613000, 550000, 588000,      350000, 530000, 508000, 565000, 568000, 310000, 370000, 415000,      315000, 310000, 415000, 323000, 370000, 4e+05, 365000, 395000,      370000), floor_area_sqm = c(92, 92, 92, 108, 92, 92, 92,      92, 84, 104, 93, 84, 105, 92, 104, 92, 96, 92, 92, 92), storey_order = c(4L,      2L, 2L, 1L, 2L, 1L, 5L, 4L, 2L, 4L, 4L, 3L, 3L, 5L, 2L, 1L,      2L, 1L, 2L, 1L), remaining_lease_mths = c(1119, 1124, 1119,      809, 1108, 1121, 1117, 1117, 811, 805, 1141, 804, 827, 1144,      806, 1090, 1098, 1137, 1146, 1146), PROX_CBD = c(15.4589251607201,      15.4589251607201, 15.4444506298565, 15.5495667695359, 15.4274201584828,      15.4653265021947, 15.5121102277751, 15.3987887594526, 15.7493840144196,      15.7683454047388, 15.719551353229, 15.9050437012323, 15.6029325535915,      15.9533618390172, 15.5926635355646, 15.0414874321427, 15.0414874321427,      16.0046521285213, 16.0046521285213, 15.87024444961), PROX_ELDERLYCARE = c(0.68815946921851,      0.68815946921851, 0.64097589351183, 0.619297318170404, 0.637452860447804,      0.595913887497293, 0.536539272984936, 0.578356799737993,      0.392042381698264, 0.584689505447093, 0.251997184681221,      0.346730428331521, 0.338118814836049, 0.251148223850536,      0.348154483747206, 0.180026828914976, 0.180026828914976,      0.20718686492254, 0.20718686492254, 0.10693627682917), PROX_HAWKER = c(0.469966667540803,      0.469966667540803, 0.396657168515828, 0.5213921544653, 0.365463704587155,      0.380307090885425, 0.396815374523363, 0.294909248784724,      0.617009737136425, 0.791474322012874, 0.543607139892928,      0.79668564149145, 0.432858942767381, 0.802087399746937, 0.438799857473275,      0.135868389364205, 0.135868389364205, 0.855932206484513,      0.855932206484513, 0.694651515851724), PROX_MRT = c(0.729135125223405,      0.729135125223405, 0.812282865657068, 0.711232187253978,      0.843485398790606, 0.848209897671344, 0.8698145169005, 0.921278705332003,      0.825478596695925, 0.523772975672589, 1.04322565796881, 0.750476153315833,      1.13678031777592, 0.8851452059773, 1.20427337027458, 1.27219969611937,      1.27219969611937, 0.883219311345816, 0.883219311345816, 1.09555222562317     ), PROX_PARK = c(0.194645215248471, 0.194645215248471, 0.279663832574521,      0.20876400491182, 0.308677700833154, 0.321827820326955, 0.357009242210065,      0.283836897691409, 0.423881452963658, 0.270342199592644,      0.60075194434184, 0.475878847958935, 0.578149656320062, 0.589052524814441,      0.608584573014238, 0.270313948020077, 0.270313948020077,      0.619767633008914, 0.619767633008914, 0.707790886000148),          PROX_GOOD_PRISCH = c(6.00758296280353, 6.00758296280353,          6.01089245018733, 6.09891773314498, 6.00000717285666,          6.04109347904609, 6.0946998605156, 5.98797030068414,          6.32317863359129, 6.2828979894293, 6.34176102939636,          6.45664561130608, 6.24898658848638, 6.52939634907869,          6.25532900137267, 5.69200203864946, 5.69200203864946,          6.57618460349959, 6.57618460349959, 6.49806658702102),          PROX_MALL = c(0.632880647427991, 0.632880647427991, 0.640411632029909,          0.541358966367059, 0.657665812567692, 0.62067023459119,          0.577683661914992, 0.692287086677849, 0.340817581482914,          0.400271919676516, 0.460595397283409, 0.18299798168314,          0.60644342729779, 0.161178852361569, 0.657431321444681,          0.767711199656331, 0.767711199656331, 0.110811660449771,          0.110811660449771, 0.388975340293238), PROX_CHAS = c(0.206736748098593,          0.206736748098593, 0.128062594375949, 0.252209440491103,          0.0964991818226865, 0.114224376246159, 0.14804241676277,          0.0335692412129841, 0.347229964463676, 0.406778788965278,          0.269388612247007, 0.190026772642962, 0.336408570757183,          0.165813590617473, 0.337342861051532, 0.163757574589084,          0.163757574589084, 0.114687044901222, 0.114687044901222,          0.140210421841136), PROX_SUPERMARKET = c(0.327859325274294,          0.327859325274294, 0.312290330939399, 0.243797536441002,          0.324468805261885, 0.284849629955282, 0.237787830949247,          0.352133387221186, 2.98731019421495e-07, 0.30290594542381,          0.219989756424723, 0.179336240856332, 0.338214025323699,          0.162291812321236, 0.403551045123396, 0.197268674737732,          0.197268674737732, 0.112847248683738, 0.112847248683738,          0.287679129281494), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          1L, 1L, 2L, 1L, 2L, 1L, 5L, 5L, 5L, 4L, 4L, 3L, 4L, 4L,          4L, 3L, 3L, 4L), WITHIN_350M_BUS = c(7L, 7L, 7L, 6L,          7L, 7L, 6L, 6L, 7L, 8L, 5L, 8L, 6L, 8L, 6L, 9L, 9L, 7L,          7L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 5L, 4L, 4L,          4L, 4L, 6L, 7L, 3L, 6L, 4L, 5L, 2L, 3L, 3L, 5L, 5L, 4L         ), DNeighbour = c(0, 6.20466670891963, 89.4703692362893,          96.4703141903076, 110.109354644231, 130.660290421474,          174.829765768004, 196.51892979272, 332.494069848195,          338.337210562615, 452.701929134656, 454.896850545991,          477.885672845554, 531.581716218588, 539.44750588857,          565.248438127385, 569.199853230247, 570.374732397849,          571.896286967606, 581.269661312085)), row.names = c("455",      "963", "574", "236", "712", "962", "605", "714", "956", "262",      "698", "59", "924", "124", "458", "793", "632", "594", "408",      "582"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999772130155267,      0.953177159263333, 0.945670047268828, 0.929520892314199,      0.901497119016036, 0.82725586696697, 0.784461115455664, 0.452660650311009,      0.437184599145312, 0.154799856919445, 0.150195102013561,      0.105030457455398, 0.0267834047175528, 0.0192439512542053,      0.00295557882751333, 0.00168904155734119, 0.00137903399811804,      0.00102344596638352, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7123707922 
R squared (OOB):                  0.3353282 

$Forests[[456]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(326000, 308000, 348000,      336000, 320000, 362000, 370000, 380000, 325000, 380000, 360000,      340000, 416000, 370000, 370000, 380000, 340000, 338000, 355000,      335000), floor_area_sqm = c(101, 90, 95, 90, 91, 94, 95,      93, 90, 93, 93, 90, 93, 93, 93, 93, 102, 94, 94, 90), storey_order = c(1L,      2L, 1L, 2L, 1L, 4L, 5L, 2L, 4L, 2L, 2L, 4L, 6L, 1L, 4L, 2L,      2L, 2L, 4L, 5L), remaining_lease_mths = c(942, 948, 968,      966, 980, 976, 977, 1132, 973, 1136, 1135, 1011, 1132, 1125,      1142, 1134, 968, 1076, 1070, 998), PROX_CBD = c(17.6460086713989,      17.5548574672099, 18.0323194354466, 18.263890012402, 18.4122801485573,      18.3273029006797, 18.2449080671561, 18.1279148711176, 18.5353901232527,      18.1376577985599, 18.1376577985599, 18.5954829873069, 18.2305685201872,      18.2305685201872, 18.1918996486136, 18.2143914696608, 18.6342583478867,      18.893500205596, 18.9417612550563, 18.976831626196), PROX_ELDERLYCARE = c(2.69583292953839,      2.64072586785555, 2.88259030935981, 2.93603771613334, 3.05606256580079,      2.7120525382807, 2.54228790651909, 2.51087611030153, 3.18651864771223,      2.49441526227585, 2.49441526227585, 3.21245115339435, 2.5602844754638,      2.5602844754638, 2.49884668013329, 2.48612553786713, 2.72992435028626,      3.10102691254995, 3.09832013994742, 3.28231449363414), PROX_HAWKER = c(0.543702723258422,      0.624754154933827, 0.459055170630849, 0.135415800319106,      0.284310921582288, 0.729165861663657, 0.859760115655931,      0.487567663506197, 0.491879726860981, 0.528296501129656,      0.528296501129656, 0.468862715548992, 0.555435817196439,      0.555435817196439, 0.600683099416637, 0.65924673205969, 0.947673142820091,      0.926259022488312, 0.981837341088666, 0.923592674397851),          PROX_MRT = c(0.514213843772978, 0.605396305517498, 0.228324090957444,          0.269488316579814, 0.34633408104891, 0.470919202147399,          0.597257652192269, 0.74928998522808, 0.375479822529604,          0.789676869843372, 0.789676869843372, 0.485913485771313,          0.810957189319413, 0.810957189319413, 0.859544339931905,          0.88189566435518, 0.717283111076423, 0.777214903782309,          0.831940647091921, 0.822784932057268), PROX_PARK = c(0.873328686748902,          0.801838254358626, 1.25712692932115, 0.826451671225411,          0.872887750975024, 1.51959638840156, 1.66089445329223,          0.317511189836545, 1.15334089580929, 0.276326305891841,          0.276326305891841, 0.966363588730214, 0.269300347674678,          0.269300347674678, 0.210024151789668, 0.161329073171627,          1.68545701841371, 1.53153013283021, 1.58031197441792,          1.4431849310919), PROX_GOOD_PRISCH = c(7.99076792195858,          7.89964805631792, 8.37645219680457, 8.61262144573917,          8.76068312560123, 8.6741083827629, 8.59525181849715,          8.49670627721454, 8.87993213136606, 8.50873818737911,          8.50873818737911, 8.94334048589707, 8.60245346442475,          8.60245346442475, 8.56698720173726, 8.59299650088468,          8.98296462693421, 9.23793284137011, 9.2863930262578,          9.32093903042593), PROX_MALL = c(0.441435937338541, 0.456293365362214,          0.12060760008054, 0.374925429890344, 0.458641270318743,          0.437943127987326, 0.537890109309282, 0.819155488013484,          0.460655941356388, 0.814982856398022, 0.814982856398022,          0.594166870248601, 0.89702383385846, 0.89702383385846,          0.849415447505653, 0.861156548991099, 0.719594778264249,          0.833273819621717, 0.886414086630636, 0.897736377807805         ), PROX_CHAS = c(0.441435968696221, 0.456293399812874,          0.120607657412939, 0.0541347282504724, 0.182706372800723,          0.319053536773146, 0.274147949012332, 0.0462043949149095,          0.165734202429707, 0.0547102897319272, 0.0547102897319272,          0.186588167457245, 0.080524556228062, 0.080524556228062,          0.110754204684376, 0.170239874320939, 0.294409401108374,          0.143741090403558, 0.0880613138842689, 0.237819060284531         ), PROX_SUPERMARKET = c(0.446325988440648, 0.425112192123464,          0.119017844673248, 0.0541355525390397, 0.182706945219403,          0.198027823348086, 0.161035318973668, 0.467157902200199,          0.167679568764744, 0.504768063926141, 0.504768063926141,          0.195869762300225, 0.512175097136782, 0.512175097136782,          0.565642852259794, 0.532940464268134, 0.247755307750907,          0.218188374485768, 0.175726554209016, 0.322795161753339         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 0L, 2L, 0L,          0L, 0L, 2L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 1L, 2L, 2L, 3L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 4L, 5L, 7L, 6L,          4L, 3L, 7L, 2L, 2L, 4L, 3L, 3L, 2L, 3L, 4L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(11L, 8L, 14L, 11L, 12L, 12L, 9L,          10L, 12L, 10L, 10L, 10L, 7L, 7L, 6L, 6L, 5L, 8L, 8L,          9L), WITHIN_1KM_PRISCH = c(3L, 2L, 4L, 4L, 5L, 5L, 5L,          2L, 5L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 4L, 4L, 4L, 4L),          DNeighbour = c(0, 92.7089873473304, 430.392746606611,          661.853171575655, 796.494623154538, 811.789021121886,          841.635749727393, 871.905266536702, 886.079704456187,          909.149622853352, 910.162151812628, 964.018016865269,          975.568981827564, 982.541857815853, 992.620377197232,          1053.59494404097, 1119.48679486645, 1271.84705129822,          1326.98466640619, 1334.80039294653)), row.names = c("456",      "514", "354", "548", "722", "873", "5", "461", "838", "285",      "378", "901", "401", "770", "600", "790", "7", "745", "932",      "915"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99037518864745,      0.802874397896674, 0.568724766130711, 0.414648315116268,      0.397058892527132, 0.362919597967987, 0.328691695034079,      0.312850683177746, 0.287387517617084, 0.286280060597401,      0.228866483092038, 0.21699320951108, 0.209912405779881, 0.19979922161966,      0.142100167338695, 0.0879687405136619, 0.00848275383223151,      0.000136338770792688, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       338553010 
R squared (OOB):                  0.5046183 

$Forests[[457]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 415000, 395000,      448000, 420000, 405000, 393000, 455000, 430000, 405000, 360000,      410000, 430000, 380000, 380000, 362500, 367000, 412000, 495000,      425000), floor_area_sqm = c(106, 103, 106, 116, 112, 105,      103, 113, 104, 104, 84, 106, 107, 106, 107, 103, 104, 104,      93, 104), storey_order = c(4L, 3L, 2L, 3L, 4L, 3L, 2L, 5L,      2L, 2L, 3L, 2L, 4L, 1L, 2L, 3L, 1L, 2L, 2L, 3L), remaining_lease_mths = c(834,      834, 834, 827, 866, 856, 818, 824, 861, 862, 811, 871, 868,      887, 871, 819, 879, 878, 1131, 871), PROX_CBD = c(15.1256206124729,      15.1256206124729, 15.1256206124729, 15.1039483662242, 15.3605597168545,      15.3605597168545, 14.8805910833212, 14.8805910833212, 15.4019609662575,      15.4019609662575, 14.7472020389823, 15.428944563277, 15.2985874116244,      15.0291078847704, 15.2330821453909, 14.3801998083441, 14.66420827852,      14.1313829663274, 14.1234549986629, 14.0236082538335), PROX_ELDERLYCARE = c(1.5866097118695,      1.5866097118695, 1.5866097118695, 1.55233595008815, 1.7630974884403,      1.7630974884403, 1.53481387371296, 1.53481387371296, 1.7026350967472,      1.7026350967472, 1.19052284520552, 1.63977306379889, 1.41400995500373,      1.09928331705025, 1.22808745848404, 0.709377020411434, 0.719957479461771,      0.836104821253693, 1.35242241046818, 1.09340394122649), PROX_HAWKER = c(0.674198133913936,      0.674198133913936, 0.674198133913936, 0.672854909342646,      0.874437271649647, 0.874437271649647, 0.395563323563994,      0.395563323563994, 0.985391408166863, 0.985391408166863,      0.606039227085063, 1.09717995764468, 1.16406043263713, 1.15922930524208,      1.40985252978436, 0.928921275219278, 1.17971772396452, 0.73352935155883,      0.458626901673037, 0.594999289424802), PROX_MRT = c(0.930587839854138,      0.930587839854138, 0.930587839854138, 0.927742831261867,      1.13238128237287, 1.13238128237287, 0.650195396152393, 0.650195396152393,      1.24252861976923, 1.24252861976923, 0.807097621625513, 1.35104476777798,      1.40304810962874, 1.36685465541241, 1.62235809597188, 1.02650412956774,      1.12495588646837, 0.735653331318593, 0.250036690549804, 0.469886084443941     ), PROX_PARK = c(0.625625874274951, 0.625625874274951, 0.625625874274951,      0.613453702116727, 0.852232892319188, 0.852232892319188,      0.355836862982211, 0.355836862982211, 0.934356673366442,      0.934356673366442, 0.432698189125414, 1.02148060415503, 0.98341166564854,      0.808345234949979, 0.633472210001671, 0.71485218383349, 0.823954351824118,      0.463826523913091, 0.469588575534173, 0.504422356794811),          PROX_GOOD_PRISCH = c(3.54140201350838, 3.54140201350838,          3.54140201350838, 3.51513652285447, 3.77322944876988,          3.77322944876988, 3.33079371618761, 3.33079371618761,          3.78947597459801, 3.78947597459801, 3.13467644284063,          3.79601078940401, 3.64472604970499, 3.36640767040689,          3.56691345353299, 2.72778429145315, 2.99834463762659,          2.52734391167264, 2.69456588548322, 2.51794344218072),          PROX_MALL = c(0.445444903624544, 0.445444903624544, 0.445444903624544,          0.472438990852491, 0.502295694435402, 0.502295694435402,          0.390496575840073, 0.390496575840073, 0.656741946143406,          0.656741946143406, 0.738705771798207, 0.809004632748584,          0.597111778941966, 0.486526360127578, 0.253259472709144,          0.949257633150117, 0.669111824361406, 0.66282583229379,          0.232476208076891, 0.418819234777705), PROX_CHAS = c(0.387886097439527,          0.387886097439527, 0.387886097439527, 0.353464796953762,          0.563239471741591, 0.563239471741591, 0.448788349522024,          0.448788349522024, 0.478794864158343, 0.478794864158343,          0.19051372613691, 0.352996738297868, 0.0911939042613644,          0.228652490110126, 0.210576528602503, 0.453083161817035,          0.38494516455544, 0.528800676490504, 0.147334233235439,          0.151261605672147), PROX_SUPERMARKET = c(0.411626017932148,          0.411626017932148, 0.411626017932148, 0.429218479578941,          0.187279197917694, 0.187279197917694, 0.447693008221967,          0.447693008221967, 0.1489144838969, 0.1489144838969,          0.326764101800336, 0.252078878715955, 0.408284988301129,          0.234691730121176, 0.21397076195142, 0.513065398645433,          0.384052647553184, 0.528799775767506, 0.147334782275979,          0.151260689076964), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 0L, 0L, 2L, 2L, 0L, 0L, 3L, 0L, 2L, 2L, 3L,          0L, 1L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 1L, 3L, 3L, 3L,          3L, 3L, 4L, 4L), WITHIN_350M_BUS = c(6L, 6L, 6L, 7L,          10L, 10L, 5L, 5L, 9L, 9L, 9L, 11L, 13L, 8L, 12L, 2L,          7L, 6L, 13L, 12L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          2L, 1L, 2L), DNeighbour = c(0, 9.77050304970807, 10.2816691732344,          30.8451050624419, 238.621295568549, 243.307079220027,          276.828534807744, 283.741141207542, 311.771954970881,          319.267754215846, 418.000604509516, 428.567325040102,          549.224513334755, 688.476959840881, 871.325739125113,          907.886801629154, 918.973733291066, 1007.69207869637,          1091.14856970973, 1117.52271103547)), row.names = c("457",      "233", "483", "188", "782", "994", "639", "852", "495", "406",      "136", "899", "934", "314", "428", "3", "686", "695", "212",      "51"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.9998471256829,      0.999830712009453, 0.998476914351022, 0.910891216041242,      0.907442926986588, 0.881038778913587, 0.875223536703715,      0.850392767061813, 0.843421545321814, 0.739759048930338,      0.727488831342282, 0.575263218747475, 0.384961336204527,      0.153724597607347, 0.11559302063151, 0.104827973785833, 0.0349323011496967,      0.00217567185978165, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1294824229 
R squared (OOB):                  -0.1008963 

$Forests[[458]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(323000, 310000, 415000,      320000, 315000, 370000, 362000, 420000, 565000, 423888, 268000,      310000, 331000, 568000, 310000, 508000, 390000, 530000, 588000,      4e+05), floor_area_sqm = c(104, 105, 93, 105, 104, 92, 92,      92, 92, 92, 84, 104, 107, 92, 84, 92, 92, 92, 92, 92), storey_order = c(2L,      3L, 4L, 3L, 1L, 1L, 1L, 3L, 5L, 5L, 3L, 3L, 2L, 4L, 2L, 1L,      2L, 2L, 2L, 3L), remaining_lease_mths = c(806, 827, 1141,      815, 807, 1146, 1135, 1144, 1117, 1136, 822, 869, 869, 1117,      811, 1121, 1139, 1108, 1119, 1143), PROX_CBD = c(15.5926635355646,      15.6029325535915, 15.719551353229, 15.4421704385289, 15.3877172812078,      15.87024444961, 15.9297907572658, 15.9392575628934, 15.5121102277751,      15.9500375777464, 15.3723771683987, 15.2437764157418, 15.2221855529023,      15.3987887594526, 15.7493840144196, 15.4653265021947, 16.0085061296439,      15.4274201584828, 15.4444506298565, 16.0475930141239), PROX_ELDERLYCARE = c(0.348154483747206,      0.338118814836049, 0.251997184681221, 0.497101135842809,      0.4433955665635, 0.10693627682917, 0.0463608633689567, 0.0436662178849567,      0.536539272984936, 0.0923316964070077, 0.488083454274335,      0.313986883487753, 0.277621781700774, 0.578356799737993,      0.392042381698264, 0.595913887497293, 0.133825008100465,      0.637452860447804, 0.64097589351183, 0.129564145964732),          PROX_HAWKER = c(0.438799857473275, 0.432858942767381,          0.543607139892928, 0.380223054122965, 0.342886316384117,          0.694651515851724, 0.768716574287481, 0.765854363537175,          0.396815374523363, 0.798502368740115, 0.473722511855576,          0.306302732963744, 0.252887916114098, 0.294909248784724,          0.617009737136425, 0.380307090885425, 0.86073340068049,          0.365463704587155, 0.396657168515828, 0.872301448799324         ), PROX_MRT = c(1.20427337027458, 1.13678031777592, 1.04322565796881,          1.36083949137777, 1.37085724211185, 1.09555222562317,          1.23034399571509, 1.14464062157712, 0.8698145169005,          1.27956490520873, 1.53295440749368, 1.43926724244883,          1.3991563615676, 0.921278705332003, 0.825478596695925,          0.848209897671344, 1.31406230168452, 0.843485398790606,          0.812282865657068, 1.14436247830993), PROX_PARK = c(0.608584573014238,          0.578149656320062, 0.60075194434184, 0.607675278354181,          0.57859629393417, 0.707790886000148, 0.846978318526899,          0.777956069134633, 0.357009242210065, 0.8970097589344,          0.719474571135727, 0.554495921895103, 0.500874596291267,          0.283836897691409, 0.423881452963658, 0.321827820326955,          0.947603217866828, 0.308677700833154, 0.279663832574521,          0.824988291997923), PROX_GOOD_PRISCH = c(6.25532900137267,          6.24898658848638, 6.34176102939636, 6.14472917023144,          6.09187968106835, 6.49806658702102, 6.58539462985877,          6.57394481891556, 6.0946998605156, 6.61604918176311,          6.12183876163327, 5.96162295702861, 5.9271396376627,          5.98797030068414, 6.32317863359129, 6.04109347904609,          6.67823761190993, 6.00000717285666, 6.01089245018733,          6.67335529701902), PROX_MALL = c(0.657431321444681, 0.60644342729779,          0.460595397283409, 0.860369947035052, 0.900250825960545,          0.388975340293238, 0.478634609766659, 0.391567182053879,          0.577683661914992, 0.517477751202279, 1.02404161156211,          1.03199787585398, 1.02106462402642, 0.692287086677849,          0.340817581482914, 0.62067023459119, 0.528820301792356,          0.657665812567692, 0.640411632029909, 0.339403259296736         ), PROX_CHAS = c(0.337342861051532, 0.336408570757183,          0.269388612247007, 0.200516789487464, 0.147116034863504,          0.140210421841136, 4.95402698497433e-08, 0.0895372628546906,          0.14804241676277, 0.0505118784777886, 0.183904955535591,          4.60754704120663e-08, 0.0544459444778504, 0.0335692412129841,          0.347229964463676, 0.114224376246159, 0.104680199868824,          0.0964991818226865, 0.128062594375949, 0.16574506375663         ), PROX_SUPERMARKET = c(0.403551045123396, 0.338214025323699,          0.219989756424723, 0.291068212048821, 0.236697160290918,          0.287679129281494, 0.427887094284235, 0.354688671920554,          0.237787830949247, 0.47836894165083, 0.267991425015023,          0.0947293086454089, 0.0768892314501321, 0.352133387221186,          2.98731019421495e-07, 0.284849629955282, 0.525839072677995,          0.324468805261885, 0.312290330939399, 0.344658205065017         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 1L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 5L, 6L, 4L, 4L,          5L, 3L, 2L, 4L, 4L, 4L, 5L, 1L, 5L, 1L, 2L, 2L, 1L, 2L         ), WITHIN_350M_BUS = c(6L, 6L, 5L, 9L, 7L, 8L, 7L, 9L,          6L, 7L, 7L, 8L, 8L, 6L, 7L, 7L, 7L, 7L, 7L, 9L), WITHIN_1KM_PRISCH = c(2L,          4L, 3L, 3L, 3L, 4L, 3L, 4L, 4L, 3L, 2L, 3L, 3L, 4L, 6L,          4L, 3L, 4L, 4L, 4L), DNeighbour = c(0, 69.5398129066393,          197.061625126176, 199.888078750798, 245.591075457782,          302.303019977433, 337.386559932836, 360.219648801026,          365.456699166385, 367.371091296941, 372.311302921437,          380.696247714097, 386.291593266942, 386.489684964554,          410.3870982327, 412.505317951539, 426.356443067391, 445.548145236302,          457.739674726017, 471.95769310836)), row.names = c("458",      "924", "698", "586", "895", "582", "654", "517", "605", "912",      "867", "578", "679", "714", "956", "962", "653", "712", "574",      "28"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.957051219150531,      0.681713813123495, 0.673421503607975, 0.531759590913368,      0.347771366065359, 0.239088184778339, 0.174269596968157,      0.160315636817801, 0.15531165963689, 0.142650252374181, 0.122041634150031,      0.108951349368626, 0.108498127692689, 0.0594854940892112,      0.0557295441587903, 0.0338218753798589, 0.0118338845133387,      0.00352167331770849, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4787037115 
R squared (OOB):                  0.5187622 

$Forests[[459]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418888, 373000, 389000,      405000, 330000, 376000, 335000, 408000, 355000, 340000, 330000,      390000, 325000, 398000, 360000, 375000, 369000, 485000, 455000,      385000), floor_area_sqm = c(100, 103, 103, 102, 84, 101,      84, 100, 91, 91, 91, 101, 84, 100, 104, 90, 94, 93, 93, 101     ), storey_order = c(2L, 1L, 2L, 3L, 4L, 2L, 2L, 5L, 3L, 1L,      4L, 4L, 5L, 2L, 2L, 5L, 5L, 7L, 3L, 3L), remaining_lease_mths = c(932,      870, 863, 928, 806, 948, 791, 916, 763, 786, 777, 932, 812,      924, 804, 946, 942, 1137, 1139, 952), PROX_CBD = c(9.64941173000682,      9.95029435977204, 9.90721965789512, 9.51108523911647, 9.63621863936401,      10.1515839247586, 9.13853516155078, 9.71665400465424, 9.41668106440496,      9.37335060635629, 9.37335060635629, 10.247812625002, 9.87023127008802,      10.2027088676681, 10.0879656312395, 10.5038890156487, 10.5038890156487,      10.5587309121129, 10.5974154418399, 10.5394819073022), PROX_ELDERLYCARE = c(1.9510043332774,      2.09611483432966, 2.17440400131014, 1.80905665624389, 1.48805339077067,      1.93850967877536, 1.86142420062345, 1.86385802759073, 1.6892356184521,      1.66235796621519, 1.66235796621519, 1.89270432318243, 1.35138892750767,      1.63738856945076, 1.31022889057949, 1.64894906385774, 1.64894906385774,      1.80931542236799, 1.80859644276987, 1.55101586165687), PROX_HAWKER = c(0.940071074791988,      0.876506442172381, 1.08766938871094, 0.978663880778012, 0.677896697868769,      0.608980172673109, 0.823671555860494, 1.14805608329678, 0.864780296064508,      0.823170476035045, 0.823170476035045, 0.561647681218514,      0.410023469086153, 0.264427923442986, 0.196699811405185,      0.53455823354733, 0.53455823354733, 0.792644050178693, 0.832920293493618,      0.463304434183495), PROX_MRT = c(1.69853939108909, 1.8917195123599,      1.9078610258369, 1.99882067476962, 1.32502198166586, 1.73271025710532,      1.58022074581844, 2.10187463598542, 2.02952953118228, 2.01327082024864,      2.01327082024864, 1.63637339364314, 1.23646610314009, 1.392302848886,      1.09046737609619, 1.36742764633517, 1.36742764633517, 1.33157685526365,      1.28588132880872, 1.31136747445593), PROX_PARK = c(0.624691995850973,      0.516721166595223, 0.551504280527303, 0.674672834209049,      0.202594030185392, 0.464183104254495, 0.533109662164166,      0.706984478917025, 0.564264159971047, 0.548771819269344,      0.548771819269344, 0.443665461164749, 0.375073916060521,      0.728383914708498, 0.604882226694947, 0.486479545769779,      0.486479545769779, 0.251058120460841, 0.248039629274522,      0.594979546415276), PROX_GOOD_PRISCH = c(0.107363170703005,      0.213708578130609, 0.299143542468678, 0.439174603441127,      0.53169554186008, 0.447003801568155, 0.605615063995802, 0.494123442243702,      0.555662252109323, 0.581790960048334, 0.581790960048334,      0.550324531917386, 0.706117631385061, 0.689163418131917,      0.87937610392538, 0.819356328881161, 0.819356328881161, 0.819366619188368,      0.856849085387122, 0.89296386953394), PROX_MALL = c(0.625847194134012,      0.493813340134231, 0.701652802220213, 0.994410311642026,      0.564979440463645, 0.217974225134877, 0.925377142856182,      1.00609620967541, 0.873946799305891, 0.835862391091354, 0.835862391091354,      0.190941194230935, 0.445899708163642, 0.12742430838485, 0.441232897113797,      0.3366209001709, 0.3366209001709, 0.516143411126369, 0.562952549426665,      0.357726596913911), PROX_CHAS = c(0.134178633248207, 0.36937911638564,      0.242250716663617, 0.21913048386411, 0.204909081807225, 0.217974279370684,      0.179557542480515, 0.0862664572880411, 0.248119447519373,      0.240374554675797, 0.240374554675797, 0.190941257524933,      0.0764125853219005, 0.127424254451578, 0.177420148260447,      0.232134688144963, 0.232134688144963, 0.236682264577822,      0.235419924819913, 0.263233285458842), PROX_SUPERMARKET = c(0.344381560072065,      0.359694409353041, 0.157554225694085, 0.21913043091083, 0.145410708854306,      0.216455869736569, 0.223142170833011, 0.0862669641327853,      0.315469124538892, 0.322141005481158, 0.322141005481158,      0.19229406714866, 0.158655939798418, 0.129189539659537, 0.320748009942088,      0.232133828519976, 0.232133828519976, 0.236682533577294,      0.23542039277371, 0.263232243208913), WITHIN_350M_KINDERGARTEN = c(3L,      2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 0L, 0L, 3L, 1L, 0L, 0L, 2L,      2L, 2L, 2L, 2L), WITHIN_350M_CHILDCARE = c(3L, 7L, 6L, 4L,      3L, 9L, 3L, 8L, 2L, 2L, 2L, 10L, 5L, 6L, 5L, 5L, 5L, 7L,      7L, 6L), WITHIN_350M_BUS = c(8L, 12L, 10L, 7L, 7L, 10L, 11L,      8L, 6L, 5L, 5L, 10L, 8L, 13L, 11L, 11L, 11L, 10L, 10L, 15L     ), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 1L, 3L, 4L, 2L, 1L,      1L, 1L, 1L, 4L, 5L, 4L, 5L, 4L, 4L, 3L, 3L, 4L), DNeighbour = c(0,      312.131931527276, 391.942547769264, 453.339835579823, 468.532501888133,      517.961171104013, 524.095437407673, 549.538030688272, 555.738523082162,      569.787423733762, 570.618993798664, 618.160767938282, 677.736244575327,      716.748045588551, 871.782723503943, 886.37680432971, 888.631745962713,      910.12133528059, 951.774697784485, 951.817290512064)), row.names = c("459",      "780", "629", "719", "189", "366", "485", "879", "725", "737",      "334", "667", "755", "771", "292", "942", "734", "614", "360",      "769"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.796485210527958,      0.689621362666042, 0.597759466807118, 0.574093350733531,      0.495428348338965, 0.485545435921492, 0.444434639265355,      0.434405748787298, 0.411702936796231, 0.410360731647355,      0.334327456878648, 0.243041765913017, 0.187440614470413,      0.0259537438367972, 0.0176303692521965, 0.0164766417138276,      0.00734351893460464, 8.00947928336508e-09, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1439398176 
R squared (OOB):                  0.1709315 

$Forests[[460]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(520000, 485000, 630000,      638000, 560000, 448000, 430000, 565000, 5e+05, 518000, 648000,      548000, 420000, 588000, 670000, 550000, 375000, 345000, 516000,      515000), floor_area_sqm = c(108, 103, 102, 102, 104, 105,      93, 103, 105, 84, 116, 95, 91, 95, 94, 105, 92, 92, 98, 103     ), storey_order = c(1L, 2L, 6L, 9L, 3L, 1L, 3L, 4L, 2L, 3L,      4L, 2L, 1L, 3L, 6L, 2L, 2L, 1L, 3L, 3L), remaining_lease_mths = c(860,      855, 870, 869, 851, 866, 728, 852, 857, 781, 871, 981, 742,      1025, 1104, 786, 695, 695, 698, 823), PROX_CBD = c(7.50210394472385,      7.70120549943486, 7.86314261154951, 7.86314261154951, 7.6651195249001,      8.05276498978228, 8.20083785223568, 8.19182633034048, 8.19182633034048,      6.59778313634683, 8.27332873959955, 8.37940280964872, 8.31995738049774,      8.51090417959469, 8.58683984966127, 6.4090346428634, 8.4016901584654,      8.46158045860266, 8.70928269501252, 6.41432963568309), PROX_ELDERLYCARE = c(0.808331791227546,      0.883817181840043, 0.731462959428347, 0.731462959428347,      0.216787702409289, 0.599632276485302, 0.41240614163537, 0.444818640633349,      0.444818640633349, 0.619464736019043, 0.354571010374291,      0.335901694998922, 0.259768432786295, 0.120425912751251,      0.203840329735754, 0.336883008423279, 0.150390524199432,      0.0854535518544851, 0.119444653145476, 0.101150617829923),          PROX_HAWKER = c(0.932792437987216, 0.72907919143595,          0.573870222021737, 0.573870222021737, 0.778265933598076,          0.560005371648267, 0.35604829505958, 0.553760551741158,          0.553760551741158, 1.00589931737343, 0.610975272844239,          0.203869560106314, 0.387410687724852, 0.166697492306482,          0.433030813326955, 0.729024203622067, 0.205000896629144,          0.266645682444034, 0.281172749103646, 0.639366917684312         ), PROX_MRT = c(0.506174946521629, 0.692418360175919,          0.85984195598231, 0.85984195598231, 0.910191895307983,          1.12051759514643, 0.805467939952349, 1.08457427678223,          1.08457427678223, 0.372865816575034, 1.0936063211659,          0.62312262100292, 0.705543842504761, 0.608243230971526,          0.751078096441513, 0.631935879685516, 0.747297636603152,          0.681495718287031, 0.379410256905797, 0.753240517287136         ), PROX_PARK = c(0.621272392201987, 0.450335295656325,          0.281207712521794, 0.281207712521794, 0.361681715476141,          0.30128672956265, 0.393072899865764, 0.374102285306053,          0.374102285306053, 0.432673847047101, 0.477465658778908,          0.394842599629624, 0.517920409018535, 0.368529270986479,          0.52118662053352, 0.73120409495038, 0.784786352249359,          0.773425606080498, 0.513364518506117, 0.941128983241434         ), PROX_GOOD_PRISCH = c(0.343243332218702, 0.490611064856358,          0.562813849840511, 0.562813849840511, 0.353240700451805,          0.631981624625733, 1.04754826657838, 0.769163347741007,          0.769163347741007, 0.909917905905181, 0.856939381531897,          1.14854892992093, 1.20021801549651, 1.13331232297991,          1.16640042723588, 1.19038460547274, 1.42922442943649,          1.4534383809239, 1.35677240305411, 1.35156641752108),          PROX_MALL = c(0.584674138925751, 0.779066462317335, 0.943364056194349,          0.943364056194349, 0.987031177772312, 1.07178760783233,          0.844084234929545, 0.997182626507123, 0.997182626507123,          0.324462922438517, 0.991200103712322, 0.651389947232486,          0.768764019555169, 0.540250505232014, 0.632538285087724,          0.56447134405004, 0.856591768216477, 0.793630348518112,          0.313890580083005, 0.713954983197348), PROX_CHAS = c(0.169910439255117,          0.0405139203460024, 0.201852081003395, 0.201852081003395,          0.371562543403755, 0.167974733321899, 0.0460460495231756,          0.311461966699573, 0.311461966699573, 0.0558741615176373,          0.413431749899638, 0.11938167830482, 0.1066489590073,          0.0869956868442428, 0.237191200694799, 0.141339892509329,          0.14998683096932, 0.161491876005888, 0.112175615725657,          0.15014885052256), PROX_SUPERMARKET = c(0.26407208892283,          0.0588346413192393, 0.115543350477338, 0.115543350477338,          0.176585087131714, 0.372458117254617, 0.436961702644775,          0.485938543293979, 0.485938543293979, 0.173430033183904,          0.502190497784501, 0.282093113359979, 0.284909088626731,          0.0869967242830128, 0.35437102597818, 0.360911693423373,          0.194600933367586, 0.128302570008396, 0.221335227738319,          0.519047869620273), WITHIN_350M_KINDERGARTEN = c(2L,          4L, 4L, 4L, 0L, 3L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 2L, 1L,          0L, 0L, 0L, 2L, 2L), WITHIN_350M_CHILDCARE = c(3L, 4L,          3L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 4L, 4L, 3L, 6L, 5L, 5L,          3L, 3L, 7L, 4L), WITHIN_350M_BUS = c(4L, 4L, 2L, 2L,          5L, 5L, 7L, 7L, 7L, 7L, 8L, 6L, 7L, 5L, 4L, 9L, 7L, 7L,          6L, 7L), WITHIN_1KM_PRISCH = c(1L, 2L, 2L, 2L, 0L, 1L,          2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 3L, 4L, 3L         ), DNeighbour = c(0, 208.020668884403, 362.733057657373,          368.625430902548, 619.924616470574, 628.854066138777,          783.142110099011, 785.975525833737, 788.542942002409,          897.581246166619, 899.851849814399, 921.936309497848,          936.304334994552, 1017.24621045544, 1125.54074384899,          1136.21467316329, 1140.68771280363, 1169.81709475835,          1210.20844309783, 1239.46402233252)), row.names = c("460",      "811", "476", "931", "935", "635", "79", "128", "674", "957",      "795", "998", "716", "94", "149", "269", "682", "676", "446",      "114"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.944458808454356,      0.836043475761784, 0.830921583501012, 0.562266896895096,      0.551434202142735, 0.360935489194638, 0.357466559740034,      0.354327011554689, 0.226175826980782, 0.223656035423491,      0.199571259184566, 0.184345488428901, 0.106554950010608,      0.0307576598229303, 0.025492612891458, 0.023419584205, 0.0119300751222311,      0.00217619467526748, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5091736306 
R squared (OOB):                  0.3601948 

$Forests[[461]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 380000, 360000,      416000, 370000, 370000, 380000, 336000, 320000, 340000, 325000,      326000, 308000, 348000, 362000, 335000, 338000, 303888, 355000,      370000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 93, 90,      91, 90, 90, 101, 90, 95, 94, 90, 94, 90, 94, 95), storey_order = c(2L,      2L, 2L, 6L, 1L, 4L, 2L, 2L, 1L, 4L, 4L, 1L, 2L, 1L, 4L, 5L,      2L, 5L, 4L, 5L), remaining_lease_mths = c(1132, 1136, 1135,      1132, 1125, 1142, 1134, 966, 980, 1011, 973, 942, 948, 968,      976, 998, 1076, 1008, 1070, 977), PROX_CBD = c(18.1279148711176,      18.1376577985599, 18.1376577985599, 18.2305685201872, 18.2305685201872,      18.1918996486136, 18.2143914696608, 18.263890012402, 18.4122801485573,      18.5954829873069, 18.5353901232527, 17.6460086713989, 17.5548574672099,      18.0323194354466, 18.3273029006797, 18.976831626196, 18.893500205596,      19.0279685600245, 18.9417612550563, 18.2449080671561), PROX_ELDERLYCARE = c(2.51087611030153,      2.49441526227585, 2.49441526227585, 2.5602844754638, 2.5602844754638,      2.49884668013329, 2.48612553786713, 2.93603771613334, 3.05606256580079,      3.21245115339435, 3.18651864771223, 2.69583292953839, 2.64072586785555,      2.88259030935981, 2.7120525382807, 3.28231449363414, 3.10102691254995,      3.26154359027314, 3.09832013994742, 2.54228790651909), PROX_HAWKER = c(0.487567663506197,      0.528296501129656, 0.528296501129656, 0.555435817196439,      0.555435817196439, 0.600683099416637, 0.65924673205969, 0.135415800319106,      0.284310921582288, 0.468862715548992, 0.491879726860981,      0.543702723258422, 0.624754154933827, 0.459055170630849,      0.729165861663657, 0.923592674397851, 0.926259022488312,      0.990561993667382, 0.981837341088666, 0.859760115655931),          PROX_MRT = c(0.74928998522808, 0.789676869843372, 0.789676869843372,          0.810957189319413, 0.810957189319413, 0.859544339931905,          0.88189566435518, 0.269488316579814, 0.34633408104891,          0.485913485771313, 0.375479822529604, 0.514213843772978,          0.605396305517498, 0.228324090957444, 0.470919202147399,          0.822784932057268, 0.777214903782309, 0.880588410111357,          0.831940647091921, 0.597257652192269), PROX_PARK = c(0.317511189836545,          0.276326305891841, 0.276326305891841, 0.269300347674678,          0.269300347674678, 0.210024151789668, 0.161329073171627,          0.826451671225411, 0.872887750975024, 0.966363588730214,          1.15334089580929, 0.873328686748902, 0.801838254358626,          1.25712692932115, 1.51959638840156, 1.4431849310919,          1.53153013283021, 1.5140651316136, 1.58031197441792,          1.66089445329223), PROX_GOOD_PRISCH = c(8.49670627721454,          8.50873818737911, 8.50873818737911, 8.60245346442475,          8.60245346442475, 8.56698720173726, 8.59299650088468,          8.61262144573917, 8.76068312560123, 8.94334048589707,          8.87993213136606, 7.99076792195858, 7.89964805631792,          8.37645219680457, 8.6741083827629, 9.32093903042593,          9.23793284137011, 9.37202430611723, 9.2863930262578,          8.59525181849715), PROX_MALL = c(0.819155488013484, 0.814982856398022,          0.814982856398022, 0.89702383385846, 0.89702383385846,          0.849415447505653, 0.861156548991099, 0.374925429890344,          0.458641270318743, 0.594166870248601, 0.460655941356388,          0.441435937338541, 0.456293365362214, 0.12060760008054,          0.437943127987326, 0.897736377807805, 0.833273819621717,          0.951179576311185, 0.886414086630636, 0.537890109309282         ), PROX_CHAS = c(0.0462043949149095, 0.0547102897319272,          0.0547102897319272, 0.080524556228062, 0.080524556228062,          0.110754204684376, 0.170239874320939, 0.0541347282504724,          0.182706372800723, 0.186588167457245, 0.165734202429707,          0.441435968696221, 0.456293399812874, 0.120607657412939,          0.319053536773146, 0.237819060284531, 0.143741090403558,          0.184556275618948, 0.0880613138842689, 0.274147949012332         ), PROX_SUPERMARKET = c(0.467157902200199, 0.504768063926141,          0.504768063926141, 0.512175097136782, 0.512175097136782,          0.565642852259794, 0.532940464268134, 0.0541355525390397,          0.182706945219403, 0.195869762300225, 0.167679568764744,          0.446325988440648, 0.425112192123464, 0.119017844673248,          0.198027823348086, 0.322795161753339, 0.218188374485768,          0.3125742651816, 0.175726554209016, 0.161035318973668         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 2L, 2L, 2L, 1L, 1L, 2L, 0L, 3L, 2L, 2L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 2L, 3L, 3L, 2L,          3L, 5L, 7L, 4L, 7L, 2L, 2L, 4L, 6L, 4L, 4L, 2L, 4L, 4L         ), WITHIN_350M_BUS = c(10L, 10L, 10L, 7L, 7L, 6L, 6L,          11L, 12L, 10L, 12L, 11L, 8L, 14L, 12L, 9L, 8L, 6L, 8L,          9L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          4L, 5L, 5L, 5L, 3L, 2L, 4L, 5L, 4L, 4L, 4L, 4L, 5L),          DNeighbour = c(0, 40.0199182753111, 46.05128966573, 113.55574315403,          118.901658921178, 121.401000849242, 183.634510622189,          517.046696227939, 583.955163203894, 708.2478253838, 871.454906502753,          871.905266536702, 927.048768125042, 939.297140160107,          1205.95023719812, 1212.54324046006, 1272.14436287582,          1284.19787164248, 1322.49434894827, 1346.94498441509)), row.names = c("461",      "285", "378", "401", "770", "600", "790", "548", "722", "901",      "838", "456", "514", "354", "873", "915", "745", "570", "932",      "5"), class = "data.frame"), num.trees = 500, mtry = 4, importance = "impurity",      case.weights = c(1, 0.998235218510109, 0.99766353126719,      0.985835463765451, 0.984475747907069, 0.983818930598836,      0.963171511007239, 0.727006421846986, 0.659413281407318,      0.523474683142678, 0.3380361591115, 0.337533125315101, 0.27698932184114,      0.26388537113887, 0.039361570445338, 0.0359514697768409,      0.0116603506735451, 0.00828088820034166, 0.00129425837102668,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       497465668 
R squared (OOB):                  0.3764911 

$Forests[[462]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(353000, 370000, 385000,      398888, 385000, 405000, 330000, 369988, 365000, 350000, 370000,      330000, 390000, 345000, 378888, 425000, 356888, 370000, 374000,      375000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 85, 91,      91, 91, 90, 91, 100, 85, 90, 92, 91, 90, 94, 90), storey_order = c(1L,      3L, 5L, 6L, 4L, 6L, 4L, 4L, 5L, 1L, 2L, 3L, 6L, 6L, 6L, 3L,      5L, 3L, 3L, 4L), remaining_lease_mths = c(1136, 1127, 1140,      1127, 1138, 1138, 992, 1002, 993, 992, 1016, 951, 942, 968,      949, 1059, 963, 997, 987, 986), PROX_CBD = c(12.9273038019752,      12.9599687546274, 12.9599687546274, 12.9439612539798, 12.9439612539798,      12.9439612539798, 13.0825190214061, 13.2138793761114, 13.2138793761114,      12.6773565587662, 13.0393088300804, 12.402570085049, 12.9172885276263,      13.131637538161, 12.4403773011877, 13.6873856248974, 13.1584578321731,      13.5299248791723, 13.4804039164095, 13.5741440973944), PROX_ELDERLYCARE = c(0.250608726248769,      0.230213196902471, 0.230213196902471, 0.119102012768026,      0.119102012768026, 0.119102012768026, 0.120371550198491,      0.200446926946864, 0.200446926946864, 0.36284597954094, 0.38924985743242,      0.628872951670854, 0.440978457512705, 0.425459762987539,      0.624054710630084, 0.720975229682918, 0.528614390300154,      0.737190256849548, 0.746393599063579, 0.759293685927778),          PROX_HAWKER = c(2.14952956067865, 2.16699861471209, 2.16699861471209,          2.07494386608678, 2.07494386608678, 2.07494386608678,          1.90213677974947, 1.87231067409155, 1.87231067409155,          1.72249172765999, 1.75849952292251, 1.50745216628998,          1.76689210194785, 1.67102672130552, 1.46996215979098,          1.83406121528111, 1.59466084315792, 1.28441999759135,          1.28815813567136, 1.13978469441664), PROX_MRT = c(0.585364307317434,          0.576831878931421, 0.576831878931421, 0.464899886897548,          0.464899886897548, 0.464899886897548, 0.30821900832469,          0.348476568009787, 0.348476568009787, 0.142163643631393,          0.103022581922205, 0.198968515523371, 0.0642144868642362,          0.197259382412543, 0.140157494228817, 0.19923660487806,          0.258879114766752, 0.189597864599581, 0.26513727845816,          0.147719870982538), PROX_PARK = c(0.834972281659159,          0.828547076231476, 0.828547076231476, 0.700809394437081,          0.700809394437081, 0.700809394437081, 0.557623544885242,          0.701388397724732, 0.701388397724732, 0.484105342641425,          0.291844359651056, 0.61879465488716, 0.18581491955197,          0.350705699368152, 0.525489875872169, 0.855123415409032,          0.332476768251147, 0.695004999747215, 0.640650351334918,          0.739375101722708), PROX_GOOD_PRISCH = c(4.33782029579385,          4.35761410397793, 4.35761410397793, 4.27162250172191,          4.27162250172191, 4.27162250172191, 4.27923006279343,          4.43819501492863, 4.43819501492863, 3.92066991749349,          4.09066115622083, 3.69141799128789, 3.96344124390297,          4.16094245740848, 3.6640626331803, 4.98236347160825,          4.13557899544262, 4.45977917937361, 4.38951064564596,          4.41976113712118), PROX_MALL = c(0.664096204002356, 0.630320880177991,          0.630320880177991, 0.646092130793046, 0.646092130793046,          0.646092130793046, 0.482494809972804, 0.411800643307333,          0.411800643307333, 0.485078273736912, 0.199839805040887,          0.407881748949563, 0.125441786165087, 0.249640338015364,          0.37643645467035, 0.138188079312201, 0.231810009894563,          0.598877544697789, 0.548104683226502, 0.656440732478167         ), PROX_CHAS = c(0.273668945808659, 0.256311352337612,          0.256311352337612, 0.136400058110832, 0.136400058110832,          0.136400058110832, 0.1115602293269, 0.186991486151685,          0.186991486151685, 0.334175310205776, 0.19843851708658,          0.407881782403473, 0.146232137849481, 0.23569948169583,          0.376436475429729, 0.138188055488585, 0.20604200841638,          0.124645472322039, 0.196586841411628, 0.175269995719201         ), PROX_SUPERMARKET = c(0.655577492568061, 0.621743565428055,          0.621743565428055, 0.636728053790567, 0.636728053790567,          0.636728053790567, 0.482493892596986, 0.40197012970004,          0.40197012970004, 0.485077395132212, 0.199839014107547,          0.451295114828249, 0.125440795942109, 0.249639808314143,          0.426522673463594, 0.147450463248511, 0.231809873410795,          0.181636181040517, 0.253358431108118, 0.3594639622224         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 2L, 0L, 2L, 1L, 0L, 1L, 1L, 4L, 3L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 4L, 4L, 4L,          7L, 5L, 5L, 8L, 8L, 3L, 9L, 5L, 4L, 6L, 6L, 5L, 5L, 6L         ), WITHIN_350M_BUS = c(3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L,          2L, 13L, 7L, 9L, 9L, 7L, 11L, 7L, 7L, 8L, 9L, 10L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 5L, 6L, 6L, 4L, 7L, 4L, 7L, 7L, 4L,          5L, 7L, 6L, 5L, 9L), DNeighbour = c(0, 31.4639911494014,          36.3504691765247, 138.318867254224, 145.131197986233,          145.390122322039, 368.518414893609, 377.49646056748,          382.519726929392, 449.148429150186, 639.883707231485,          653.099776437896, 669.240477644756, 679.58575071189,          689.510740994772, 756.590345602626, 778.96297872813,          969.184372312483, 989.584015922825, 1148.07176601139)), row.names = c("462",      "990", "95", "936", "732", "882", "886", "313", "474", "400",      "141", "80", "887", "153", "444", "4", "339", "165", "72",      "15"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998498392537408,      0.997996016136394, 0.971180175763293, 0.968294874349533,      0.968182560315915, 0.80454810934808, 0.795458079665979, 0.790299812398303,      0.717319310207842, 0.475210647981447, 0.457504376209809,      0.435860989114954, 0.421994460344226, 0.408706766691921,      0.320023631785798, 0.291213639775004, 0.082571491215662,      0.066067945405583, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       541921726 
R squared (OOB):                  0.04039252 

$Forests[[463]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(295000, 325000, 310000,      370000, 350000, 390000, 345000, 320000, 325000, 370000, 343000,      345000, 380000, 420000, 420000, 323000, 345000, 380000, 385000,      336000), floor_area_sqm = c(105, 104, 104, 103, 104, 126,      104, 106, 90, 93, 102, 103, 93, 92, 93, 104, 102, 93, 104,      104), storey_order = c(1L, 1L, 1L, 4L, 2L, 2L, 4L, 1L, 4L,      1L, 5L, 5L, 1L, 6L, 3L, 3L, 2L, 1L, 1L, 4L), remaining_lease_mths = c(870,      872, 879, 881, 863, 879, 862, 851, 912, 1139, 935, 944, 1138,      1104, 1139, 956, 935, 1142, 863, 958), PROX_CBD = c(16.027241877126,      15.9652370890998, 15.9652370890998, 15.9139497277605, 15.9139497277605,      16.1769042321823, 16.2035530975804, 15.9983120826665, 16.3759795802925,      15.8422849591204, 15.6558233565228, 15.6615925135045, 15.9652529785268,      16.0058570800758, 15.9652529785268, 16.3822081442679, 16.0814208174046,      15.6174435761395, 16.2492480828887, 16.2237683329895), PROX_ELDERLYCARE = c(0.401697186037664,      0.372962984236141, 0.372962984236141, 0.471057675436291,      0.471057675436291, 0.382017171357745, 0.462412199513001,      0.541237256511776, 0.437652472603004, 0.241353796602158,      0.268146833149962, 0.372854461013726, 0.120425003900544,      0.0922651494707867, 0.120425003900544, 0.317064501792404,      0.129424766752979, 0.457575537702088, 0.836071823435323,      0.233700982090528), PROX_HAWKER = c(2.44772974464855, 2.45115541279444,      2.45115541279444, 2.34701070601947, 2.34701070601947, 2.55739022352562,      2.51024920878341, 2.1818192257633, 2.71828200917597, 2.37354129025836,      2.27183532495414, 2.39243139523594, 2.36922200206298, 2.393526972262,      2.36922200206298, 2.76474077583521, 2.40830007300065, 2.21004723991438,      2.17952287051713, 2.48966457045008), PROX_MRT = c(0.538616250543522,      0.52727924180445, 0.52727924180445, 0.424613907535265, 0.424613907535265,      0.674610535324426, 0.65447898159524, 0.364450998520493, 0.870089952652958,      0.721786411333246, 0.370313443989706, 0.499275570100955,      0.886101680623091, 0.910164710677637, 0.886101680623091,      1.02897813643603, 1.00126993569874, 0.70935210619912, 0.290093838525113,      1.11461848888664), PROX_PARK = c(1.35146177086674, 1.39203600576681,      1.39203600576681, 1.30337713627377, 1.30337713627377, 1.39748820590438,      1.32632916723033, 1.05372411430502, 1.49155883505512, 1.42084473696832,      1.16446299803307, 1.19384102986047, 1.58077599563476, 1.6216647961598,      1.58077599563476, 1.73717122008599, 1.7154732425778, 1.21748666352844,      0.886796559947336, 1.86547668850022), PROX_GOOD_PRISCH = c(6.09534233388474,      6.02718330754398, 6.02718330754398, 5.99275530970335, 5.99275530970335,      6.23706483495109, 6.27623366830878, 6.12314921566155, 6.4246273009838,      5.8611108446886, 5.73062396037349, 5.71328270316738, 5.96493131981452,      6.00411547246196, 5.96493131981452, 6.39421933734494, 6.0710937852797,      5.63578467655705, 6.4097782056775, 6.20687623278084), PROX_MALL = c(0.275346491924215,      0.238316612740974, 0.238316612740974, 0.338688619983659,      0.338688619983659, 0.292722816398213, 0.370949542105629,      0.45623102577182, 0.409369768138594, 0.177442774283774, 0.155488337640192,      0.238209845871265, 0.18546430077947, 0.187934498474296, 0.18546430077947,      0.374078152135628, 0.261655001598387, 0.401390812484646,      0.355568776497803, 0.36788016328609), PROX_CHAS = c(0.275346446899555,      0.238316573509266, 0.238316573509266, 0.338688583692834,      0.338688583692834, 0.292722768811081, 0.370949494121523,      0.290215734280461, 0.409369730284335, 0.177442804982894,      0.155488306171375, 0.238209795937414, 0.185464348558652,      0.187934543511456, 0.185464348558652, 0.374078140160073,      0.26165503944411, 0.187858028295528, 0.121251060497272, 0.367880188789974     ), PROX_SUPERMARKET = c(0.141316208924405, 0.177610526119132,      0.177610526119132, 0.112474666082431, 0.112474666082431,      0.254565333705719, 0.235998227482853, 0.162067612034701,      0.389543937857684, 0.197153631350279, 0.152010752053411,      0.238833101010687, 0.198556813498254, 0.197516435852273,      0.198556813498254, 0.357574924056941, 0.265481412722203,      0.412009517866082, 0.350013224352412, 0.364697803989784),          WITHIN_350M_KINDERGARTEN = c(3L, 3L, 3L, 3L, 3L, 5L,          3L, 1L, 2L, 2L, 4L, 3L, 1L, 1L, 1L, 2L, 0L, 3L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(8L, 6L, 6L, 9L, 9L, 8L,          5L, 6L, 2L, 7L, 8L, 5L, 5L, 5L, 5L, 1L, 5L, 3L, 4L, 2L         ), WITHIN_350M_BUS = c(12L, 14L, 14L, 15L, 15L, 9L, 7L,          12L, 5L, 15L, 14L, 16L, 15L, 14L, 15L, 9L, 13L, 15L,          9L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 2L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L         ), DNeighbour = c(0, 69.3839933104133, 71.1782985756866,          122.538005204832, 124.539022265148, 149.788394397886,          180.530524271838, 296.899398060664, 355.064646482457,          374.625839319346, 378.184826237494, 381.690319613428,          454.258189933918, 458.932925219947, 462.137620411236,          488.114238368847, 525.945414028709, 530.402935117416,          550.033461038724, 604.247260822238)), row.names = c("463",      "566", "490", "927", "959", "54", "806", "888", "974", "585",      "450", "572", "913", "154", "137", "173", "890", "766", "711",      "394"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.973803300864716,      0.972440446758406, 0.919440117779943, 0.916845109558533,      0.880874757721852, 0.82944172319289, 0.575430115547503, 0.428643640580602,      0.378982214483771, 0.370001186229887, 0.361178897223794,      0.189080466847815, 0.17904900354323, 0.172272627691404, 0.120721734422902,      0.0587476130285471, 0.0526622586673327, 0.0293754019940415,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1168646745 
R squared (OOB):                  0.02409672 

$Forests[[464]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 435000, 375000,      371000, 368000, 360000, 375000, 318000, 316000, 305000, 349000,      279000, 333000, 272000, 335000, 320000, 420000, 410000, 432000,      282000), floor_area_sqm = c(105, 92, 102, 100, 106, 99, 92,      91, 92, 91, 103, 91, 99, 89, 100, 84, 92, 92, 92, 84), storey_order = c(2L,      4L, 3L, 2L, 3L, 3L, 4L, 1L, 3L, 4L, 2L, 2L, 3L, 2L, 4L, 1L,      1L, 2L, 4L, 1L), remaining_lease_mths = c(910, 1118, 932,      918, 952, 915, 783, 765, 781, 791, 832, 801, 927, 882, 927,      822, 1121, 1136, 1123, 836), PROX_CBD = c(17.589085398281,      17.3261487576713, 17.424297644009, 17.9318121245061, 17.1751323002447,      17.6482187406162, 18.1857629477019, 18.2234963781047, 18.2234963781047,      18.2610111258248, 18.0642207733449, 18.2989051402725, 17.6933534103443,      17.8554664137964, 17.5934100264964, 17.6406634027014, 17.7152334804069,      17.7152334804069, 17.7152334804069, 18.5087583118065), PROX_ELDERLYCARE = c(0.387351173411546,      0.0820501598186151, 0.332680427012888, 0.559180828327224,      0.268202380119324, 0.399377154365588, 0.47723779098819, 0.448333702611612,      0.448333702611612, 0.421521882373529, 0.558648465009425,      0.397078044127006, 0.174626049595048, 0.800501761367975,      0.183364759720919, 1.035266769267, 0.0982899037000713, 0.0982899037000713,      0.0982899037000713, 0.855934448185717), PROX_HAWKER = c(0.776912813652288,      1.11394087375576, 1.2762396177499, 1.18812307179958, 1.37649043343687,      1.11261554439583, 0.380157991945912, 0.416527045274471, 0.416527045274471,      0.453171307776496, 1.20831273824173, 0.491047773869601, 0.89059259132002,      0.203123967436651, 0.860123145519879, 0.425506106332545,      0.815736811633103, 0.815736811633103, 0.815736811633103,      1.00705768005988), PROX_MRT = c(0.371614593402704, 0.527347528775627,      0.484502150769697, 0.256828620430729, 0.477350523334022,      0.417091391951799, 0.548087095608087, 0.545975779093886,      0.545975779093886, 0.547550551918807, 0.387700307898407,      0.552168886353884, 0.606842528225389, 0.555370291384357,      0.675234243169572, 0.641227062746355, 0.674833365376197,      0.674833365376197, 0.674833365376197, 0.534460782086299),          PROX_PARK = c(0.925923962472294, 1.2769930066147, 1.39102562335911,          1.11695175135574, 1.53652128691969, 1.38656874841243,          0.261695126667213, 0.264257474455249, 0.264257474455249,          0.272660801967067, 1.04306097562022, 0.287159802467115,          1.49905344652453, 0.515057634059466, 1.60355051242194,          0.74946287094318, 1.52614967260321, 1.52614967260321,          1.52614967260321, 0.516289874277036), PROX_GOOD_PRISCH = c(8.43639308613493,          8.12402124316527, 8.1609833985331, 8.65275846320069,          7.92485948387043, 8.34983568407236, 9.10363750169146,          9.1355701416359, 9.1355701416359, 9.16752282736586, 8.76549326341746,          9.19982386356694, 8.34857469941546, 8.91472106998272,          8.24279341902993, 8.7372089119322, 8.35538963357137,          8.35538963357137, 8.35538963357137, 9.25922423900801),          PROX_MALL = c(0.232188905247248, 0.48073822857487, 0.394560370801339,          0.417130987397582, 0.221509518429623, 0.439097430243665,          0.374195605351922, 0.411037179701155, 0.411037179701155,          0.448092738738542, 0.424594513900518, 0.486326630506135,          0.223321337745784, 0.208298160410803, 0.188384425612312,          0.427942470585451, 0.158599011552442, 0.158599011552442,          0.158599011552442, 0.521454353681198), PROX_CHAS = c(0.0713809516165408,          0.111581872390774, 0.265229996652697, 0.259891808560044,          0.166686655025282, 0.414359256629807, 0.172021358032342,          0.132763801624598, 0.132763801624598, 0.0964740211655948,          0.124680964632411, 0.0660681856594747, 0.21485891447712,          0.208298146952687, 0.151781240761386, 0.23100298607827,          0.158598978424062, 0.158598978424062, 0.158598978424062,          0.521454374874156), PROX_SUPERMARKET = c(0.238177195426237,          0.111582815761828, 0.265230176390619, 0.438907970807184,          0.166252253534119, 0.441697647833666, 0.38486207983901,          0.421116980529575, 0.421116980529575, 0.457654559995222,          0.424593495373258, 0.490326509583637, 0.218378438252518,          0.19872598136169, 0.209139790637019, 0.231004283416662,          0.144345834884574, 0.144345834884574, 0.144345834884574,          0.521454611985023), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 2L, 0L, 1L,          0L, 2L, 2L, 2L, 0L), WITHIN_350M_CHILDCARE = c(2L, 3L,          2L, 3L, 4L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 5L, 6L, 6L,          6L, 6L, 6L, 1L), WITHIN_350M_BUS = c(8L, 8L, 9L, 9L,          10L, 9L, 4L, 6L, 6L, 6L, 7L, 6L, 13L, 10L, 12L, 8L, 12L,          12L, 12L, 4L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 7L,          5L, 7L, 4L, 4L, 4L, 4L, 6L, 4L, 8L, 3L, 8L, 3L, 7L, 7L,          7L, 4L), DNeighbour = c(0, 351.962573820109, 510.227389235876,          606.240771038509, 614.779359205319, 627.697241458128,          689.721993187739, 717.136465008339, 719.400920939892,          743.099287268991, 756.229289834056, 771.960639041324,          849.768028968541, 868.381559778072, 880.302754663048,          916.526431376547, 920.414406629904, 926.193011634656,          930.031439877252, 966.147445656083)), row.names = c("464",      "372", "736", "976", "658", "891", "733", "47", "202", "905",      "773", "433", "112", "467", "419", "730", "289", "13", "298",      "393"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.752190618619559,      0.519992432432178, 0.367557867341792, 0.354139616819135,      0.333970355686093, 0.240455436075076, 0.201640656094367,      0.198523026434611, 0.166814255107103, 0.150031574213307,      0.130743274874648, 0.0512589813438096, 0.0369190234660942,      0.0288355634072318, 0.0100163116233545, 0.00854335751054856,      0.00656077093499635, 0.00538250448309262, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1491020872 
R squared (OOB):                  0.3943054 

$Forests[[465]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(480000, 366800, 445000,      315000, 323000, 380000, 380000, 348000, 309000, 338000, 345000,      330000, 333000, 388000, 385000, 360000, 361000, 328000, 350880,      4e+05), floor_area_sqm = c(104, 105, 100, 91, 92, 100, 103,      93, 91, 93, 91, 84, 84, 104, 104, 103, 84, 84, 91, 103),          storey_order = c(2L, 2L, 3L, 1L, 2L, 4L, 1L, 4L, 2L,          5L, 3L, 3L, 3L, 3L, 4L, 1L, 4L, 4L, 2L, 3L), remaining_lease_mths = c(777,          761, 949, 722, 690, 931, 923, 777, 774, 860, 773, 791,          823, 751, 740, 798, 794, 806, 785, 796), PROX_CBD = c(8.81196120759187,          8.5913881835975, 9.38671442358298, 8.21547938057256,          9.445702961959, 8.15573636625741, 8.21483984631558, 9.5834162789491,          9.64616581570663, 9.71808261065178, 9.63489497584329,          9.73525531751342, 9.85122377146013, 10.2659136784881,          10.2659136784881, 10.1540744969693, 10.1908965186918,          10.2439629519707, 10.3813809316332, 10.2571858212528),          PROX_ELDERLYCARE = c(0.68560621126507, 0.675108088860868,          0.197320443098403, 0.425001866306461, 0.0646727834979237,          0.30639563225599, 0.287120499253456, 0.221128007339761,          0.306199433665808, 0.288600487645686, 0.42629854090558,          0.869795033999967, 0.999223533815273, 0.737818764037149,          0.737818764037149, 0.85844301108046, 0.891997547710976,          0.904720646157319, 0.833489789321986, 0.969336561855173         ), PROX_HAWKER = c(0.290355020850324, 0.151496134675632,          0.671765492644128, 0.272525769496456, 0.802499530175562,          0.288074572046437, 0.248204869380096, 0.844035637065003,          0.906506968115566, 1.10941781168001, 0.908741650371918,          0.687117415591119, 0.526313717816828, 1.65941342147148,          1.65941342147148, 0.614574465644474, 0.594526114354717,          0.616195579705155, 1.5910354083573, 0.543600998034675         ), PROX_MRT = c(0.425157896719621, 0.864705124656065,          0.671695564859285, 0.877462529610437, 0.834535111428891,          0.998476915081282, 1.08736551837768, 0.679762822214213,          0.626377719466395, 0.750225097750018, 0.669484450879797,          0.86810604264512, 0.907717901248049, 0.684374477874155,          0.684374477874155, 0.544743966599557, 0.554399001312584,          0.52596302633555, 0.699917284291438, 0.5984056038899),          PROX_PARK = c(0.468007817587664, 0.545921527880028, 0.409638708762546,          0.34344129155164, 0.508498628446561, 0.465482353353317,          0.587773758099403, 0.171128410914521, 0.106198450905693,          0.552878075981585, 0.197084482081202, 0.452373350223662,          0.510337594738446, 0.570788416471153, 0.570788416471153,          0.578916018382343, 0.61263038213259, 0.626908579085899,          0.616002692100522, 0.690393008756984), PROX_GOOD_PRISCH = c(2.18636815139252,          2.65365036334729, 1.96445822173508, 2.64672046335999,          2.16640973416033, 2.76944558246381, 2.8757656049093,          1.81796659730331, 1.71137279935344, 2.3197363622043,          1.59153495480405, 1.15234422615158, 1.05242409875061,          2.58742850928016, 2.58742850928016, 1.40445923276907,          1.40421671412888, 1.44855804010835, 2.6286340652406,          1.38840710840139), PROX_MALL = c(0.389401354829447, 0.81045000642783,          0.704978058880463, 0.807676293785945, 0.855253012280219,          0.92903564794814, 1.020621498239, 0.812301361871699,          0.808294932987377, 0.64580888250568, 0.873569112263515,          0.907839978504126, 0.756051767526383, 0.364765391124967,          0.364765391124967, 0.685950169481642, 0.685823836221668,          0.644656189163291, 0.365493224544838, 0.638527944164543         ), PROX_CHAS = c(0.210741683871549, 0.0629474356823598,          0.181909444046462, 0.136581974857907, 0.378465676389041,          0.211513021624011, 0.132091194783373, 0.334146331647452,          0.415210445937219, 0.122290728478786, 0.454068185577158,          0.116614388177292, 3.39583191183935e-08, 0.204257711541377,          0.204257711541377, 0.170954716034814, 0.151788880767358,          0.155315138624813, 0.28517644723447, 0.0819899420632749         ), PROX_SUPERMARKET = c(0.365648379234028, 0.140831249897628,          0.448356351676465, 0.281285688066644, 0.234896025437738,          0.324462496048725, 0.249780587504203, 0.581458245406798,          0.675617328849562, 0.190117050177684, 0.717910522287554,          0.458729641056945, 0.350225948243757, 0.384238743245603,          0.384238743245603, 0.171715993026927, 0.152401712794372,          0.18505229065347, 0.49431722643315, 0.123486578338512         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 2L, 1L, 3L, 1L,          0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 0L, 3L, 2L, 3L, 2L,          1L, 3L, 1L, 2L, 1L, 2L, 3L, 6L, 6L, 2L, 2L, 1L, 6L, 2L         ), WITHIN_350M_BUS = c(7L, 8L, 9L, 8L, 10L, 8L, 8L, 7L,          8L, 6L, 5L, 10L, 10L, 8L, 8L, 14L, 12L, 10L, 10L, 10L         ), WITHIN_1KM_PRISCH = c(1L, 2L, 2L, 2L, 2L, 2L, 2L,          4L, 4L, 2L, 3L, 4L, 4L, 2L, 2L, 5L, 6L, 6L, 2L, 5L),          DNeighbour = c(0, 479.377886817173, 581.632600882465,          643.976819624165, 644.077566751639, 745.224571910937,          789.128316593749, 810.619642382686, 905.776342599882,          941.050403543655, 941.351273202519, 1279.61424150344,          1440.82398083558, 1505.78978664067, 1509.16776109434,          1535.77841372844, 1571.29450212946, 1611.1948425656,          1621.61463677126, 1650.45852641063)), row.names = c("465",      "894", "373", "691", "67", "435", "60", "799", "785", "624",      "273", "921", "129", "77", "501", "560", "447", "668", "626",      "494"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.838392984451992,      0.767042342799832, 0.7186955535072, 0.718614783910536, 0.633814173105663,      0.595050003185542, 0.575737224931952, 0.488343008232101,      0.455490444684396, 0.455209846928189, 0.159118813125164,      0.0565958560051563, 0.0280978610664698, 0.0268584242406021,      0.0179934274142663, 0.00876640952679246, 0.00221023898559423,      0.00120042546511604, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1510570688 
R squared (OOB):                  0.1764398 

$Forests[[466]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(663000, 655000, 676000,      640000, 655000, 380000, 4e+05, 4e+05, 385000, 350888, 340000,      398000, 390000, 360000, 380000, 418000, 4e+05, 418000, 410000,      352000), floor_area_sqm = c(87, 87, 87, 87, 87, 93, 98, 104,      91, 93, 92, 92, 92, 83, 92, 92, 92, 91, 103, 84), storey_order = c(4L,      5L, 3L, 4L, 1L, 3L, 4L, 2L, 1L, 3L, 1L, 3L, 1L, 3L, 4L, 4L,      4L, 5L, 2L, 2L), remaining_lease_mths = c(1124, 1121, 1120,      1121, 1123, 724, 718, 751, 715, 712, 699, 714, 711, 803,      695, 691, 690, 774, 799, 800), PROX_CBD = c(9.49727834386093,      9.49727834386093, 9.49727834386093, 9.42381765287156, 9.39818328429371,      9.50206510185676, 9.5915755681771, 9.83498872427818, 8.8262745849674,      9.68679892421183, 9.97016469840266, 9.95525560808738, 9.71066487891121,      8.52567265657093, 9.61422948612377, 9.61422948612377, 9.59976569988281,      9.35032791665702, 8.31972436488376, 8.28689365911172), PROX_ELDERLYCARE = c(0.735218745429302,      0.735218745429302, 0.735218745429302, 0.750155484045513,      0.718190414835305, 0.619429799229152, 0.558000418748021,      0.611336059876525, 0.896855030989675, 0.35495808488012, 0.14040561650552,      0.150508443509651, 0.385358274245319, 1.23693676843424, 0.28812103687201,      0.28812103687201, 0.239547661796275, 0.227789996497476, 1.3912791419992,      1.3668692597991), PROX_HAWKER = c(0.639074974233661, 0.639074974233661,      0.639074974233661, 0.667492197519696, 0.640059738279374,      0.518318645141504, 0.434568479089541, 0.54583502916026, 0.311054993693233,      0.221606053969191, 0.15909114400288, 0.153089379504462, 0.39402887106119,      0.0724679807682574, 0.398658919868918, 0.398658919868918,      0.436761476721694, 0.508896406641727, 0.252588085280054,      0.269406334629514), PROX_MRT = c(0.499971219475903, 0.499971219475903,      0.499971219475903, 0.423547456258288, 0.401734036242065,      0.533910829474844, 0.656590823238566, 0.722241727367494,      0.17731989795878, 0.760373725070279, 0.494111782173202, 0.521845664201362,      0.746020760246364, 0.510058766918036, 0.667432439829923,      0.667432439829923, 0.619962862184004, 0.569946398217962,      0.44379796826936, 0.467794692056616), PROX_PARK = c(0.298527066745392,      0.298527066745392, 0.298527066745392, 0.258916726718906,      0.220484561261844, 0.26219477257436, 0.355705093322714, 0.296755194228525,      0.458605630557841, 0.664893225436512, 0.68588072489708, 0.730503149795042,      0.914740437498633, 0.557643312318536, 0.922231693079911,      0.922231693079911, 0.957886982704992, 0.726258134328713,      0.59965919275643, 0.570592214216024), PROX_GOOD_PRISCH = c(2.17599822879711,      2.17599822879711, 2.17599822879711, 2.24680049319454, 2.27458198186913,      2.18628235132699, 2.11809049366399, 1.88657748145099, 2.8424495793979,      2.17803171840573, 1.97396491196204, 2.01039924795066, 2.31351362539819,      3.13534109620979, 2.38715383730665, 2.38715383730665, 2.35345437748376,      2.41566392235711, 3.04207330950824, 2.99359805566516), PROX_MALL = c(1.45007786498113,      1.45007786498113, 1.45007786498113, 1.48330987402926, 1.45650167595406,      1.32833110917602, 1.22478662403239, 1.23747152538927, 1.64561868645684,      0.796976758090547, 0.802483711672914, 0.757457219803541,      0.505770857705003, 1.96281231550532, 0.43353114329251, 0.43353114329251,      0.387669919047214, 0.406203001531397, 2.10790194839897, 2.09618768409308     ), PROX_CHAS = c(0.101351467161616, 0.101351467161616, 0.101351467161616,      0.0719365450960561, 0.109789289200213, 0.219477506246216,      0.346218272658546, 0.352730820744124, 0.221229860630612,      0.0707228333244178, 0.187394625423847, 0.144412947448491,      0.255589678637005, 0.169369143123463, 0.28666502826278, 0.28666502826278,      0.263208245292117, 0.146235674893272, 0.261198443001062,      0.229330661012247), PROX_SUPERMARKET = c(0.0715849245259307,      0.0715849245259307, 0.0715849245259307, 0.100679215951394,      0.13637298984998, 0.191210069763785, 0.300584979098838, 0.324694852199881,      0.221249484047241, 0.128382981112681, 0.215556112381702,      0.204623167766534, 0.363062686357781, 0.169391527985645,      0.396736556610776, 0.396736556610776, 0.44091986097032, 0.347306649978202,      0.272257424647181, 0.266710264104055), WITHIN_350M_KINDERGARTEN = c(1L,      1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L,      2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 6L,      6L, 6L, 5L, 1L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 4L, 5L, 3L,      2L), WITHIN_350M_BUS = c(4L, 4L, 4L, 5L, 6L, 2L, 5L, 3L,      5L, 10L, 9L, 9L, 13L, 8L, 11L, 11L, 11L, 9L, 9L, 7L), WITHIN_1KM_PRISCH = c(1L,      1L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 4L, 4L, 4L, 4L, 2L, 4L, 4L,      3L, 3L, 1L, 1L), DNeighbour = c(0, 5.08021904000361, 11.8649799539773,      74.5009567851473, 92.0956647239554, 123.569492876447, 245.963140799893,      427.13992179936, 665.194468607985, 687.731210163006, 890.209798914127,      911.477731275155, 977.053052573563, 998.023480461968, 1017.39033994347,      1020.15617120178, 1061.43213597203, 1135.76544234261, 1204.9249349423,      1234.66939513785)), row.names = c("466", "731", "593", "9",      "657", "539", "746", "659", "814", "946", "211", "971", "776",      "404", "603", "499", "964", "37", "540", "266"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999966139775838, 0.999815310335061, 0.992731229223459,      0.988903215794834, 0.980067094303262, 0.922202738840959,      0.774954869225226, 0.503722612442241, 0.475731103974645,      0.23053789980613, 0.207031558308767, 0.13970287374226, 0.120130494259751,      0.10303690568019, 0.100677241745646, 0.068086663441428, 0.0236526937236512,      0.00226592057023398, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3927958369 
R squared (OOB):                  0.7403662 

$Forests[[467]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(272000, 320000, 325000,      297000, 303000, 350000, 375000, 318000, 316000, 305000, 330000,      326000, 344000, 279000, 298000, 303888, 3e+05, 380000, 350000,      370000), floor_area_sqm = c(89, 84, 91, 91, 92, 103, 92,      91, 92, 91, 103, 100, 114, 91, 93, 93, 96, 105, 104, 93),          storey_order = c(2L, 1L, 4L, 3L, 1L, 4L, 4L, 1L, 3L,          4L, 2L, 2L, 2L, 2L, 1L, 2L, 4L, 2L, 3L, 5L), remaining_lease_mths = c(882,          822, 780, 788, 794, 768, 783, 765, 781, 791, 773, 915,          909, 801, 777, 782, 791, 910, 901, 1106), PROX_CBD = c(17.8554664137964,          17.6406634027014, 18.1476771148045, 18.1476771148045,          18.2139172788048, 18.3186881593276, 18.1857629477019,          18.2234963781047, 18.2234963781047, 18.2610111258248,          18.4499801912104, 17.6260899808187, 17.7896312466061,          18.2989051402725, 18.5252470382495, 18.5252470382495,          18.5761736305699, 17.589085398281, 17.7210097801066,          18.8127816342995), PROX_ELDERLYCARE = c(0.800501761367975,          1.035266769267, 0.519546459890619, 0.519546459890619,          0.649170232100017, 0.586525817031338, 0.47723779098819,          0.448333702611612, 0.448333702611612, 0.421521882373529,          0.504778052376495, 1.35112026832555, 1.25681260125729,          0.397078044127006, 0.449194476018676, 0.449194476018676,          0.0638277150498875, 0.387351173411546, 1.43994188754287,          0.176499517448139), PROX_HAWKER = c(0.203123967436651,          0.425506106332545, 0.209390724873544, 0.209390724873544,          0.488031980714328, 0.564283191409187, 0.380157991945912,          0.416527045274471, 0.416527045274471, 0.453171307776496,          0.652207052169444, 0.881717267283345, 0.881066744107593,          0.491047773869601, 0.69553534809229, 0.69553534809229,          0.562029876499453, 0.776912813652288, 1.08104793194974,          0.325560722493799), PROX_MRT = c(0.555370291384357, 0.641227062746355,          0.491311596778589, 0.491311596778589, 0.192826481399443,          0.220618943711049, 0.548087095608087, 0.545975779093886,          0.545975779093886, 0.547550551918807, 0.322534237265928,          0.583976034009999, 0.459633808793419, 0.552168886353884,          0.398456142880405, 0.398456142880405, 0.874368880716004,          0.371614593402704, 0.633809880192534, 1.04083770509984         ), PROX_PARK = c(0.515057634059466, 0.74946287094318,          0.270911567278729, 0.270911567278729, 0.532358306258428,          0.548488124002706, 0.261695126667213, 0.264257474455249,          0.264257474455249, 0.272660801967067, 0.536975621309476,          1.13048326604805, 1.08767920112524, 0.287159802467115,          0.491317901173298, 0.491317901173298, 0.287868908027907,          0.925923962472294, 1.21384923350496, 0.51923222906617         ), PROX_GOOD_PRISCH = c(8.91472106998272, 8.7372089119322,          9.18618174729203, 9.18618174729203, 9.33501569353139,          9.44179125712709, 9.10363750169146, 9.1355701416359,          9.1355701416359, 9.16752282736586, 9.56762880935522,          8.8937984610311, 9.06437119601063, 9.19982386356694,          9.63394268044443, 9.63394268044443, 9.51590189269927,          8.43639308613493, 9.06160802360773, 9.7422556358987),          PROX_MALL = c(0.208298160410803, 0.427942470585451, 0.218975149940797,          0.218975149940797, 0.498813518897969, 0.574856358668165,          0.374195605351922, 0.411037179701155, 0.411037179701155,          0.448092738738542, 0.662291407978718, 0.88883938803957,          0.889615709496153, 0.486326630506135, 0.705200807731176,          0.705200807731176, 0.624506085881379, 0.232188905247248,          1.08939761229127, 0.856774663098642), PROX_CHAS = c(0.208298146952687,          0.23100298607827, 0.218975205360203, 0.218975205360203,          0.0363398547195702, 0.141159289664064, 0.172021358032342,          0.132763801624598, 0.132763801624598, 0.0964740211655948,          0.201478871858691, 0.292626833079875, 0.198210651063146,          0.0660681856594747, 0.240425442805127, 0.240425442805127,          0.0792988689034794, 0.0713809516165408, 0.398301228330107,          0.2593611752042), PROX_SUPERMARKET = c(0.19872598136169,          0.231004283416662, 0.206881250620068, 0.206881250620068,          0.186956242757619, 0.210011389308567, 0.38486207983901,          0.421116980529575, 0.421116980529575, 0.457654559995222,          0.310351384739933, 0.489184551662952, 0.347801992140281,          0.490326509583637, 0.386130046709882, 0.386130046709882,          0.625539331690589, 0.238177195426237, 0.510818921359131,          0.856773769273042), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 3L, 3L, 0L, 0L,          0L, 0L, 1L, 3L, 0L), WITHIN_350M_CHILDCARE = c(5L, 6L,          3L, 3L, 5L, 4L, 2L, 2L, 2L, 2L, 2L, 3L, 4L, 2L, 1L, 1L,          2L, 2L, 1L, 1L), WITHIN_350M_BUS = c(10L, 8L, 7L, 7L,          9L, 10L, 4L, 6L, 6L, 6L, 9L, 6L, 7L, 6L, 8L, 8L, 10L,          8L, 5L, 16L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L,          2L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 5L, 2L,          1L), DNeighbour = c(0, 233.242613053737, 291.761094904237,          297.506821131312, 450.322902582325, 550.600774093323,          584.983270238362, 622.071005515924, 623.625637003563,          662.07178178034, 667.92516206742, 675.743702684348, 692.996878833871,          698.51748748855, 720.611358570074, 721.295713530527,          806.845574243431, 868.381559778072, 890.814772760926,          1023.448985755)), row.names = c("467", "730", "944",      "827", "481", "367", "733", "47", "202", "905", "810", "612",      "172", "433", "11", "106", "78", "464", "825", "637"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.898821969782033, 0.844067529066996, 0.838138559129755,      0.650273542479474, 0.504911911973073, 0.453327462774558,      0.39760204770479, 0.395273825189966, 0.338162092932721, 0.329573279069017,      0.318158141012423, 0.293232749100637, 0.285343648088008,      0.254259907374169, 0.253310725703861, 0.143254331717657,      0.0784405847792728, 0.0587556836954373, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       879238193 
R squared (OOB):                  0.0541592 

$Forests[[468]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(306000, 320000, 345888,      330000, 320000, 312000, 395000, 350000, 460000, 420000, 4e+05,      373000, 398000, 410000, 420000, 435000, 365000, 425000, 410000,      418000), floor_area_sqm = c(109, 104, 104, 107, 104, 107,      107, 106, 105, 104, 92, 92, 92, 92, 92, 92, 105, 93, 93,      112), storey_order = c(1L, 2L, 4L, 3L, 2L, 1L, 2L, 2L, 4L,      4L, 1L, 1L, 2L, 3L, 5L, 4L, 2L, 4L, 4L, 5L), remaining_lease_mths = c(773,      772, 763, 776, 779, 779, 755, 781, 770, 774, 1127, 1128,      1136, 1131, 1134, 1129, 771, 1126, 1117, 904), PROX_CBD = c(16.2343575305192,      16.0390890659677, 16.5598581376431, 16.4773488158513, 16.6890813896757,      16.6890813896757, 15.936744569076, 15.2518600651656, 15.1689870500438,      15.0460728336845, 17.1731083577317, 17.1731083577317, 17.26435404508,      17.2397585888566, 17.2397585888566, 17.2397585888566, 14.8222691165004,      17.3263676504413, 17.3263676504413, 17.2048826778539), PROX_ELDERLYCARE = c(0.63095091801206,      0.520751571920202, 0.633922933695123, 0.393080972860029,      0.296144426041885, 0.296144426041885, 0.526555480516014,      0.341160576506438, 0.235447740717014, 0.0734543941007858,      0.456899326246073, 0.456899326246073, 0.542806768712765,      0.500148198332671, 0.500148198332671, 0.500148198332671,      0.151522520392741, 0.561119780492452, 0.561119780492452,      0.400468425457175), PROX_HAWKER = c(0.355821892612055, 0.601123999453785,      0.402483389428837, 0.170796598263111, 0.360513691606501,      0.360513691606501, 0.44834457013621, 0.711147803357143, 0.493984449855749,      0.321243604465073, 0.507233229895407, 0.507233229895407,      0.598096651463893, 0.55990768529081, 0.55990768529081, 0.55990768529081,      0.189112683951821, 0.631285601786086, 0.631285601786086,      0.498365875295267), PROX_MRT = c(0.864165890870668, 0.965829261077996,      1.05011238745279, 0.826410504821953, 0.937471590679814, 0.937471590679814,      0.239432195714991, 1.05589835680014, 0.840089990200814, 0.667161579318597,      1.18009183772516, 1.18009183772516, 1.20599959693509, 1.16124452414741,      1.16124452414741, 1.16124452414741, 0.506610369321483, 1.13344401626098,      1.13344401626098, 0.87869292375624), PROX_PARK = c(1.34373269803231,      1.48305338833506, 1.45762221914422, 1.2054653508424, 1.20981147430356,      1.20981147430356, 0.747611444367071, 1.72109509304533, 1.48925201971724,      1.32178658469093, 1.02763138312455, 1.02763138312455, 0.937816003807321,      0.959994438388966, 0.959994438388966, 0.959994438388966,      1.20591145519053, 0.872985599051717, 0.872985599051717, 0.9054780070858     ), PROX_GOOD_PRISCH = c(5.7932792467937, 5.64743379607767,      6.10793998843997, 5.97835326648125, 6.16175607197734, 6.16175607197734,      5.39194564581962, 4.96507368960908, 4.81784539373378, 4.66454637236311,      6.57664814247058, 6.57664814247058, 6.66937916554136, 6.64012383316355,      6.64012383316355, 6.64012383316355, 4.44405903659268, 6.72174636420399,      6.72174636420399, 6.57740517739392), PROX_MALL = c(1.10378372306907,      1.36185056241102, 0.973625110866692, 0.76724723438711, 0.571849863617429,      0.571849863617429, 0.942416713928675, 2.06076738363197, 1.93173107331603,      1.83033637772351, 0.392080122681935, 0.392080122681935, 0.484724019608978,      0.450738515511335, 0.450738515511335, 0.450738515511335,      1.74752862756084, 0.530342726071102, 0.530342726071102, 0.446026044391999     ), PROX_CHAS = c(0.289709096170644, 0.205355834952608, 0.306725496117186,      0.09463300161804, 0.332465298200207, 0.332465298200207, 0.145251548786172,      0.453299264887269, 0.22714457633909, 0.0544168696099871,      0.214971829128206, 0.214971829128206, 0.270084445320348,      0.221318263528924, 0.221318263528924, 0.221318263528924,      0.191193294854487, 0.254413742194056, 0.254413742194056,      0.130380344727655), PROX_SUPERMARKET = c(0.132128014198024,      0.352842931529878, 0.252218317780421, 0.108262733037825,      0.204374831829505, 0.204374831829505, 0.434198104817495,      0.644027759940317, 0.459690883388295, 0.286721618184596,      0.391090025360665, 0.391090025360665, 0.483753219919624,      0.449846933875903, 0.449846933875903, 0.449846933875903,      0.188017328828043, 0.529573977763673, 0.529573977763673,      0.445962312606475), WITHIN_350M_KINDERGARTEN = c(0L, 1L,      2L, 3L, 3L, 3L, 0L, 0L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,      2L, 2L, 3L), WITHIN_350M_CHILDCARE = c(8L, 6L, 5L, 6L, 3L,      3L, 2L, 0L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 3L, 3L, 2L     ), WITHIN_350M_BUS = c(9L, 7L, 5L, 9L, 9L, 9L, 7L, 6L, 4L,      5L, 8L, 8L, 6L, 6L, 6L, 6L, 6L, 5L, 5L, 8L), WITHIN_1KM_PRISCH = c(2L,      2L, 2L, 3L, 4L, 4L, 4L, 1L, 2L, 1L, 2L, 2L, 3L, 3L, 3L, 3L,      2L, 3L, 3L, 3L), DNeighbour = c(0, 261.665006175282, 332.686293537755,      353.801336422735, 604.294105557239, 608.385157208546, 621.991776224385,      1070.93397338577, 1078.67076094846, 1181.65909917099, 1269.17781594327,      1269.27840655752, 1330.33884104576, 1332.96956032926, 1334.36468702723,      1337.57494487754, 1411.00533355492, 1428.5406747393, 1430.72450316737,      1505.93156902402)), row.names = c("468", "751", "883", "107",      "328", "497", "423", "109", "739", "256", "507", "985", "847",      "86", "280", "290", "64", "925", "797", "889"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.940529048975465, 0.904772991616606, 0.892654392598363,      0.703883447160976, 0.700217516594056, 0.687917533183089,      0.244307207237638, 0.237111505405577, 0.147681283298057,      0.083933050312536, 0.0838678231087435, 0.0482266805127191,      0.0468792900029843, 0.046171421934507, 0.0445602811448601,      0.0149075280729159, 0.0100281031408191, 0.00948423954095169,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1708663420 
R squared (OOB):                  0.2076455 

$Forests[[469]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 350000, 380000,      390000, 412000, 377000, 368888, 390000, 350000, 340000, 375000,      395000, 350000, 380000, 385000, 420000, 350000, 368000, 4e+05,      4e+05), floor_area_sqm = c(93, 92, 93, 92, 92, 92, 92, 92,      92, 92, 92, 93, 93, 92, 92, 92, 104, 92, 92, 96), storey_order = c(3L,      1L, 3L, 4L, 3L, 2L, 2L, 2L, 1L, 2L, 1L, 4L, 1L, 2L, 3L, 4L,      3L, 2L, 3L, 2L), remaining_lease_mths = c(1113, 1131, 1110,      1142, 1128, 1135, 1102, 1128, 1111, 1133, 1139, 1108, 1111,      1142, 1132, 1133, 812, 1100, 1136, 1098), PROX_CBD = c(14.6879879340018,      14.6346875310408, 14.607628567626, 14.5596883563906, 14.5596883563906,      14.5662038835035, 14.8482953663728, 14.5136499050456, 14.8482953663728,      14.8395197777251, 14.8395197777251, 14.6649260398624, 14.6221320584002,      14.4940333615496, 14.9536689261967, 14.7615340778399, 14.8739209120931,      14.9752079088984, 14.7935232496013, 15.0414874321427), PROX_ELDERLYCARE = c(0.267910637295867,      0.318998242024868, 0.363539264939185, 0.399519357429504,      0.399519357429504, 0.396119369193007, 0.157028625587627,      0.440212280139716, 0.157028625587627, 0.143171284390361,      0.143171284390361, 0.374463671675583, 0.410896008057539,      0.500918112427577, 1.13414610370389e-06, 0.301679225956583,      0.224374856243457, 0.199763345782594, 0.348662381557687,      0.180026828914976), PROX_HAWKER = c(0.507741768149319, 0.567748890704442,      0.571839614015762, 0.625641729464286, 0.625641729464286,      0.661743266121302, 0.332945546865787, 0.681591249319273,      0.332945546865787, 0.426817039061835, 0.426817039061835,      0.515424723672587, 0.55845452984231, 0.682637638745144, 0.283688306330561,      0.582527401679673, 0.490895901627697, 0.202333554334061,      0.61938764744993, 0.135868389364205), PROX_MRT = c(1.51619569366002,      1.53691575721219, 1.42703012637354, 1.46473462254762, 1.46473462254762,      1.61118001364451, 1.41585626072206, 1.51230084146916, 1.41585626072206,      1.58589972239689, 1.58589972239689, 1.31347134818138, 1.30119397664661,      1.32800225952209, 1.45204946878565, 1.75082728996661, 1.67344316225132,      1.27457972333389, 1.80023823132094, 1.27219969611937), PROX_PARK = c(0.573128508978659,      0.633519966923, 0.592644125813336, 0.656743209310805, 0.656743209310805,      0.741043428920938, 0.40224168015695, 0.723946747094916, 0.40224168015695,      0.573834160005083, 0.573834160005083, 0.48594234877488, 0.524601749565547,      0.65941869562705, 0.447466290733612, 0.739209778966795, 0.671840643384197,      0.259935562114549, 0.794674698621811, 0.270313948020077),          PROX_GOOD_PRISCH = c(5.38500296681299, 5.34297669438126,          5.28617698570013, 5.25302892838613, 5.25302892838613,          5.30307595814772, 5.51627049340211, 5.22451833965112,          5.51627049340211, 5.56483468018996, 5.56483468018996,          5.30673314037113, 5.26427170666348, 5.15263130971644,          5.64958645026222, 5.53447364393692, 5.63420261242257,          5.6171537261999, 5.58881641790013, 5.69200203864946),          PROX_MALL = c(0.626246838364162, 0.633302242537752, 0.523782484457491,          0.550646738699849, 0.550646738699849, 0.69438942428714,          0.649229394533883, 0.591658790399046, 0.649229394533883,          0.805396060532061, 0.805396060532061, 0.439421746266814,          0.412850725186958, 0.407798057490129, 0.806257336881612,          0.897398400321744, 0.927972955155417, 0.689421511186311,          0.980189305249844, 0.767711199656331), PROX_CHAS = c(0.160113448728027,          0.120955806912261, 0.198893245072118, 0.19650938121062,          0.19650938121062, 0.0799578054615725, 0.274130336331615,          0.179710137259641, 0.274130336331615, 0.204546662914522,          0.204546662914522, 0.0969357032130768, 0.0938393111767789,          0.0559452214520875, 0.14456617920399, 0.166975848000366,          0.25243947150411, 0.230775629929228, 0.244316778428722,          0.163757574589084), PROX_SUPERMARKET = c(0.300165340388346,          0.327836032489634, 0.223766299699327, 0.27843134046436,          0.27843134046436, 0.41943325951703, 0.296829834724774,          0.343491998264143, 0.296829834724774, 0.280088374069707,          0.280088374069707, 0.0969351949685631, 0.0938384818523742,          0.202112654374605, 0.16127040484797, 0.408349928269047,          0.298947211163532, 0.264202614673064, 0.416104879739584,          0.197268674737732), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 6L,          4L, 3L, 3L, 3L, 5L, 4L, 5L, 5L, 5L, 6L, 6L, 4L, 7L, 3L,          3L, 4L, 2L, 4L), WITHIN_350M_BUS = c(7L, 8L, 7L, 7L,          7L, 6L, 9L, 6L, 9L, 5L, 5L, 8L, 9L, 9L, 6L, 4L, 6L, 9L,          6L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 3L,          4L, 4L, 4L, 3L, 3L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 65.3030872708504, 111.980535918584,          133.150077087837, 134.570493413636, 168.876875044093,          175.495210124155, 175.558061693641, 176.261886214313,          195.362888709473, 196.95536129047, 205.6010416881, 214.428527622163,          247.102702062018, 273.15402466261, 276.309555689436,          306.812490307226, 333.670357611623, 361.01877599255,          377.159327367431)), row.names = c("469", "583", "452",      "163", "961", "368", "195", "706", "762", "543", "152", "17",      "324", "702", "139", "620", "602", "558", "478", "632"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.940940662800411, 0.831465587558079, 0.76626733924925, 0.761594248787147,      0.639217755462848, 0.613854338065313, 0.613611308496801,      0.610887171136597, 0.535372451001775, 0.528964585505455,      0.493973902337964, 0.458013845383846, 0.325761226321577,      0.226077267984627, 0.2146348566837, 0.114410571664959, 0.0472269545627137,      0.00701551633102824, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       534131199 
R squared (OOB):                  -0.07583844 

$Forests[[470]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(455000, 460000, 475000,      485000, 465000, 455000, 460000, 470000, 450000, 450000, 420000,      452000, 412000, 490888, 403000, 437000, 435000, 450000, 465000,      545000), floor_area_sqm = c(92, 92, 92, 95, 95, 93, 92, 93,      95, 94, 93, 95, 90, 93, 90, 94, 94, 90, 90, 93), storey_order = c(5L,      3L, 5L, 6L, 4L, 4L, 3L, 5L, 3L, 4L, 1L, 3L, 3L, 5L, 3L, 3L,      2L, 2L, 5L, 3L), remaining_lease_mths = c(1108, 1097, 1098,      1113, 1110, 1096, 1107, 1125, 1126, 1123, 1101, 1121, 1034,      1141, 1053, 1120, 1113, 1134, 1132, 1134), PROX_CBD = c(14.2694643570804,      14.2694643570804, 14.3437499696049, 14.2445424628862, 14.3101587663686,      14.3469943525049, 14.2518409016409, 14.2374266118925, 14.1366846915735,      14.0429369190019, 14.3298082323417, 14.2856092918761, 13.9701294998534,      14.4799585140632, 14.2313196249897, 14.0691382395842, 14.0214886887106,      14.6796515041342, 14.6796515041342, 14.4432157047801), PROX_ELDERLYCARE = c(1.14423906696184,      1.14423906696184, 1.14464302293932, 1.24643506877499, 1.29024298571696,      1.07571195137499, 0.985840321219444, 1.2819446304668, 1.17371591683522,      1.1015647640471, 0.943112693551276, 1.29536834443332, 0.798789790509628,      1.06862824267944, 1.23431696680562, 1.08280856328681, 1.04333655871926,      1.45102259724198, 1.45102259724198, 1.44181352445962), PROX_HAWKER = c(0.826638245470088,      0.826638245470088, 0.74882220835846, 0.968852406622053, 0.961388959141492,      0.654543769257927, 0.656651462258042, 1.02089221118434, 1.09084844555913,      1.07710025413616, 0.494981643036057, 1.14967766552968, 0.796241674024292,      0.462243392197612, 1.20453145676494, 1.21079813450924, 1.2014358291776,      0.836784965651702, 0.836784965651702, 1.1926703176924), PROX_MRT = c(0.30438768875815,      0.30438768875815, 0.217663394995295, 0.184117552261459, 0.148967878322013,      0.131478587775223, 0.189142279194464, 0.148741201515391,      0.218319465176875, 0.324573358240557, 0.122691316210064,      0.0748886383392391, 0.262922949537813, 0.082651796212049,      0.14509881944895, 0.281224364060027, 0.325652198483679, 0.391052893274669,      0.391052893274669, 0.142722405117506), PROX_PARK = c(0.599699049952129,      0.599699049952129, 0.636899975343007, 0.481320095248247,      0.444639968372477, 0.731552922713316, 0.785709089572823,      0.440474428767772, 0.474063272255088, 0.58019258504408, 0.760551135167525,      0.297003339879563, 0.929619749314005, 0.682350458092963,      0.30799989212087, 0.468913262301943, 0.524931496780237, 0.566439778554251,      0.566439778554251, 0.164631246691225), PROX_GOOD_PRISCH = c(5.12184985907385,      5.12184985907385, 5.1680916684458, 5.1542412945362, 5.21803047984022,      5.13548460888622, 5.03443000866885, 5.16870486361587, 5.09375212835948,      4.9857651679507, 5.05687720866847, 5.27158847877433, 4.76155598853922,      5.20136656590841, 5.24106386657147, 5.07622831499557, 5.02043421457898,      5.51577006817018, 5.51577006817018, 5.44062149940817), PROX_MALL = c(0.351657486288216,      0.351657486288216, 0.38589862433106, 0.248497232357685, 0.199960318099191,      0.480981762762808, 0.535261743386166, 0.22058685557285, 0.295276560881227,      0.401409437181884, 0.644100917109673, 0.136646142991964,      0.698652085628877, 0.64848155368644, 0.200492724858517, 0.352184781664103,      0.399157770965225, 0.38618207223371, 0.38618207223371, 0.0864828813466827     ), PROX_CHAS = c(0.120456720485379, 0.120456720485379, 0.0401042229543167,      0.185564313785613, 0.199960275799137, 0.0578525184286013,      0.121511881264649, 0.177995101264401, 0.0995517477546361,      0.0207330025336023, 0.116678641770301, 0.136646133179357,      0.224338502615803, 0.149921511006425, 0.200492722653611,      0.167321001424632, 0.142774662207743, 0.367772140885018,      0.367772140885018, 0.0864829242311455), PROX_SUPERMARKET = c(0.244158473149448,      0.244158473149448, 0.165776473264822, 0.185564776027004,      0.199173279096103, 0.0704323341151683, 0.121511691834874,      0.177995229543633, 0.0995512052866983, 0.0207321820187816,      0.116679779166118, 0.146294584623949, 0.281017798180362,      0.149922203205158, 0.210915135620544, 0.167319845962294,      0.142773459146917, 0.0442147517112349, 0.0442147517112349,      0.0916346746399726), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 1L, 1L, 1L, 2L, 0L, 0L, 1L, 2L, 0L, 2L, 1L, 0L, 1L, 1L,      1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(10L, 10L, 8L, 9L,      8L, 7L, 10L, 8L, 8L, 6L, 7L, 6L, 7L, 6L, 6L, 8L, 6L, 4L,      4L, 4L), WITHIN_350M_BUS = c(9L, 9L, 8L, 7L, 6L, 8L, 9L,      6L, 8L, 9L, 9L, 8L, 13L, 6L, 6L, 9L, 9L, 4L, 4L, 5L), WITHIN_1KM_PRISCH = c(6L,      6L, 5L, 7L, 7L, 4L, 6L, 7L, 7L, 7L, 5L, 7L, 8L, 4L, 6L, 7L,      7L, 4L, 4L, 5L), DNeighbour = c(0, 5.10743607085457, 89.8766084398445,      148.646631814041, 161.230388717695, 174.604064076367, 190.925985307168,      202.113390755462, 270.479036249035, 295.543008506301, 334.628963340589,      335.690396857435, 370.807781415625, 383.376942246865, 388.609663590186,      397.609046561803, 401.223846887993, 404.607461474527, 405.108786320237,      435.017659313683)), row.names = c("470", "434", "70", "349",      "142", "488", "73", "537", "76", "754", "688", "32", "301",      "979", "283", "57", "878", "405", "996", "240"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999724328311697, 0.91645120174187, 0.78011181237128, 0.744136994785351,      0.70375359509079, 0.651851773051295, 0.614872243205941, 0.376268737306422,      0.289918273738041, 0.166695859468322, 0.16363989059952, 0.0747580712012625,      0.0498749520355779, 0.0407961863244084, 0.0270904569353,      0.0223002775594004, 0.0182046271924689, 0.0176303875660452,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       869027000 
R squared (OOB):                  0.06651803 

$Forests[[471]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(735000, 660000, 680000,      325000, 390000, 335000, 420000, 380000, 347000, 320000, 3e+05,      380000, 4e+05, 418000, 350000, 380000, 388800, 333000, 418000,      390000), floor_area_sqm = c(97, 87, 87, 82, 92, 83, 92, 92,      90, 90, 92, 92, 92, 92, 92, 92, 98, 89, 91, 92), storey_order = c(6L,      3L, 6L, 4L, 1L, 3L, 5L, 2L, 5L, 2L, 2L, 4L, 4L, 4L, 4L, 4L,      2L, 1L, 5L, 1L), remaining_lease_mths = c(1066, 1066, 1076,      666, 685, 687, 694, 687, 672, 672, 691, 693, 690, 691, 688,      695, 697, 692, 774, 711), PROX_CBD = c(9.96973817000633,      10.1126951054664, 10.1126951054664, 10.0782341562763, 10.3184291669162,      10.5501175985891, 10.5902646894981, 10.571248724537, 10.5036676165143,      10.5036676165143, 10.7273754880637, 10.7273754880637, 9.59976569988281,      9.61422948612377, 10.7428660694501, 9.61422948612377, 10.7178846249378,      10.7178846249378, 9.35032791665702, 9.71066487891121), PROX_ELDERLYCARE = c(0.560133969723593,      0.511544492658224, 0.511544492658224, 0.248412112584261,      0.724299376510179, 0.724362239545807, 0.476382036969741,      0.426373779355343, 0.346712236264009, 0.346712236264009,      0.968089576161562, 0.968089576161562, 0.239547661796275,      0.28812103687201, 1.00386291289403, 0.28812103687201, 0.903749132751209,      0.903749132751209, 0.227789996497476, 0.385358274245319),          PROX_HAWKER = c(0.246219700947935, 0.268370020499938,          0.268370020499938, 0.250435976222025, 0.285348407142059,          0.496328097640832, 0.142004884371921, 0.155284554597335,          0.255376275980047, 0.255376275980047, 0.259491073356982,          0.259491073356982, 0.436761476721694, 0.398658919868918,          0.19921426515349, 0.398658919868918, 0.131164348467149,          0.131164348467149, 0.508896406641727, 0.39402887106119         ), PROX_MRT = c(0.405168801785449, 0.549740095282867,          0.549740095282867, 0.622308556906305, 0.752281430413819,          0.92637591011884, 0.793335563342317, 0.822399768635659,          0.908007357991278, 0.908007357991278, 0.880392787161762,          0.880392787161762, 0.619962862184004, 0.667432439829923,          0.911557541227745, 0.667432439829923, 0.897030842789514,          0.897030842789514, 0.569946398217962, 0.746020760246364         ), PROX_PARK = c(0.868342722448078, 0.878497256111703,          0.878497256111703, 0.627458410441261, 1.05219739289641,          0.888350706343443, 0.57091664624863, 0.471129460807546,          0.381418159266178, 0.381418159266178, 0.675703893946554,          0.675703893946554, 0.957886982704992, 0.922231693079911,          0.65460215425144, 0.922231693079911, 0.68415716278098,          0.68415716278098, 0.726258134328713, 0.914740437498633         ), PROX_GOOD_PRISCH = c(1.55873028154778, 1.46177539101005,          1.46177539101005, 1.26151864262594, 1.54472866778257,          1.37609088117382, 0.962114901666907, 0.876989954992127,          0.825686703361669, 0.825686703361669, 1.51964159199475,          1.51964159199475, 2.35345437748376, 2.38715383730665,          1.57772010642862, 2.38715383730665, 1.69245386393467,          1.69245386393467, 2.41566392235711, 2.31351362539819),          PROX_MALL = c(0.129560175686973, 0.269774803261538, 0.269774803261538,          0.418279044459304, 0.472532088410597, 0.693136328895784,          0.838333779631814, 0.872531493441133, 0.873995522285645,          0.873995522285645, 0.885934538444454, 0.885934538444454,          0.387669919047214, 0.43353114329251, 0.913300066979642,          0.43353114329251, 0.922177591154216, 0.922177591154216,          0.406203001531397, 0.505770857705003), PROX_CHAS = c(0.0647243745052949,          0.20472250196774, 0.20472250196774, 0.186550674976261,          0.165961529218061, 0.120595382532287, 0.0950095589968322,          0.109732367463933, 0.217153936659979, 0.217153936659979,          0.161497017697243, 0.161497017697243, 0.263208245292117,          0.28666502826278, 0.184868017131885, 0.28666502826278,          0.141741960002869, 0.141741960002869, 0.146235674893272,          0.255589678637005), PROX_SUPERMARKET = c(0.241122798862169,          0.35798039621586, 0.35798039621586, 0.255147915067147,          0.447507928623339, 0.448117335537485, 0.190547463602814,          0.199099262156692, 0.291549431934698, 0.291549431934698,          0.294310303883692, 0.294310303883692, 0.44091986097032,          0.396736556610776, 0.247977273863763, 0.396736556610776,          0.141741503991008, 0.141741503991008, 0.347306649978202,          0.363062686357781), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 1L, 1L, 2L, 0L, 0L, 0L, 0L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 5L, 4L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 4L, 3L, 3L, 3L,          4L, 4L, 5L, 2L), WITHIN_350M_BUS = c(7L, 6L, 6L, 5L,          7L, 6L, 6L, 5L, 6L, 6L, 4L, 4L, 11L, 11L, 5L, 11L, 6L,          6L, 9L, 13L), WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 2L, 5L,          5L, 2L, 2L, 2L, 2L, 5L, 5L, 3L, 4L, 5L, 4L, 5L, 5L, 3L,          4L), DNeighbour = c(0, 147.734616906429, 155.809933421848,          310.989360634813, 397.308248935068, 583.140490232029,          707.980238000408, 743.766063403182, 747.855045671442,          751.149842133623, 794.520090470944, 797.542669690312,          797.850422898272, 833.098425169668, 833.685675879099,          834.712455167153, 853.211099558971, 853.852006512881,          862.743028487816, 863.707267250041)), row.names = c("471",      "506", "316", "84", "97", "778", "701", "210", "482", "940",      "648", "651", "964", "499", "43", "603", "429", "914", "37",      "776"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.942341762598986,      0.935973112059353, 0.75751671226113, 0.62156967916397, 0.296109173731662,      0.107645059873931, 0.0667971702387023, 0.0626378211879512,      0.0593676972175203, 0.023652283476189, 0.021709759400866,      0.0215162404139155, 0.00484720883760826, 0.00466622749389974,      0.00435777045719275, 0.0005835720980477, 0.000514865047229586,      4.97979008530633e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3573390970 
R squared (OOB):                  0.7664679 

$Forests[[472]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(638000, 680000, 545000,      680000, 650000, 838000, 445000, 515000, 760000, 630000, 815000,      315000, 480000, 446000, 450000, 582000, 310000, 330000, 550000,      470000), floor_area_sqm = c(105, 76, 86, 86, 86, 91, 84,      110, 91, 101, 91, 87, 94, 94, 104, 104, 82, 82, 105, 84),          storey_order = c(3L, 11L, 1L, 3L, 3L, 12L, 3L, 1L, 9L,          2L, 11L, 1L, 6L, 2L, 1L, 3L, 5L, 4L, 2L, 3L), remaining_lease_mths = c(918,          1071, 1025, 1025, 1018, 1106, 647, 859, 1091, 952, 1109,          633, 725, 723, 828, 935, 656, 657, 786, 813), PROX_CBD = c(5.24252163748666,          5.17664618337401, 5.19905620756448, 5.19905620756448,          5.26278746968545, 5.38577040159704, 4.82546817648507,          5.31333197008925, 5.4124717534787, 5.76616775136128,          5.46273996086224, 5.88382015009973, 4.50933618399607,          4.45295385586978, 5.12061996426338, 5.4901102241405,          5.9699685911294, 6.06674643703895, 6.4090346428634, 6.30150758144434         ), PROX_ELDERLYCARE = c(0.232760622048558, 0.203403853153192,          0.3148233892717, 0.3148233892717, 0.310343810032976,          0.343873602324804, 0.401252043911139, 0.301885421229742,          0.277453528347438, 0.708186986363007, 0.323825203617813,          0.599695566252105, 0.665866395733666, 0.645271528549996,          0.279354008399566, 0.157919913507301, 4.28110190953706e-07,          0.10409496222889, 0.336883008423279, 0.0580157957368266         ), PROX_HAWKER = c(0.316098981667774, 0.242990200436355,          0.424686940189847, 0.424686940189847, 0.356302899600742,          0.225377370173431, 0.33634581375869, 0.15027253820603,          0.214745652304629, 0.25612232537118, 0.17988889362956,          0.302293625820731, 0.665007751295857, 0.601904675681234,          0.158729667464322, 0.258924665495, 0.247906315943116,          0.346985863757343, 0.729024203622067, 0.511576723994062         ), PROX_MRT = c(0.353807427048722, 0.347215067697513,          0.253583166891469, 0.253583166891469, 0.321982757522174,          0.452916639575337, 0.437510974512092, 0.839256513816073,          0.525678460826462, 0.0934691468297738, 0.495510769155532,          0.37771060533367, 0.549595780709265, 0.66128766903618,          1.12797954219589, 1.30755754576723, 1.03854772657135,          1.1005845300218, 0.631935879685516, 0.911216039334219         ), PROX_PARK = c(0.540897442657821, 0.502895249788983,          0.482110245392283, 0.482110245392283, 0.550000337404237,          0.680409922157526, 0.386749503328341, 0.919693677764514,          0.766524211973089, 1.02675087524374, 0.816564732509704,          1.09766236241216, 0.353281501558379, 0.473457593144303,          1.12857946410316, 0.803347187860442, 0.792968228054446,          0.741200181243785, 0.73120409495038, 0.950460734805334         ), PROX_GOOD_PRISCH = c(2.20280244575696, 2.27859573799937,          2.22494939608982, 2.22494939608982, 2.16237499594262,          2.04281306492033, 2.65585299610189, 2.32631552336422,          2.04167837943161, 1.65694818911091, 1.99475835919692,          1.61186682958131, 2.94429219434277, 3.02211493728223,          2.70116277997296, 2.45379201830723, 1.89588922913119,          1.85819018299306, 1.19038460547274, 1.50990256016426),          PROX_MALL = c(0.315823950773482, 0.285366785950761, 0.31885342913617,          0.31885342913617, 0.38523327442887, 0.513452616263142,          0.337875853585261, 0.752077094160308, 0.636573036587929,          0.834887080030876, 0.68208602871978, 0.966526596905427,          0.485349818185599, 0.570379319619026, 1.02774547618649,          1.21674302842157, 1.25835483053691, 1.22044581333525,          0.56447134405004, 0.872189526609738), PROX_CHAS = c(0.0731998871787336,          0.0737889624358689, 0.211748617283041, 0.211748617283041,          0.188692357663819, 0.180097972613039, 0.315432137833306,          0.111194343620761, 0.208534953207918, 0.143086854941205,          0.185272865297861, 0.256579842259861, 0.331046161101227,          0.303272176186244, 0.193072984237221, 0.233242749827373,          0.21461630683628, 0.252393584019624, 0.141339892509329,          0.0940735950578242), PROX_SUPERMARKET = c(0.266280670019211,          0.177322353300672, 0.199301193911681, 0.199301193911681,          0.267150206458008, 0.397689630461078, 0.0907256678718214,          0.370675298005651, 0.496000676868079, 0.318319510093507,          0.544212695479659, 0.27867057765081, 0.325943517329761,          0.34627255092781, 0.198191070641627, 0.37596142908425,          0.227231659318009, 0.321431524942613, 0.360911693423373,          0.469210677159174), WITHIN_350M_KINDERGARTEN = c(3L,          1L, 4L, 4L, 4L, 4L, 0L, 1L, 1L, 2L, 1L, 1L, 0L, 0L, 1L,          0L, 0L, 0L, 0L, 2L), WITHIN_350M_CHILDCARE = c(5L, 7L,          6L, 6L, 5L, 7L, 2L, 3L, 4L, 1L, 4L, 4L, 1L, 1L, 4L, 3L,          2L, 2L, 5L, 4L), WITHIN_350M_BUS = c(10L, 9L, 9L, 9L,          9L, 8L, 8L, 12L, 7L, 8L, 8L, 8L, 5L, 6L, 9L, 10L, 8L,          6L, 9L, 7L), WITHIN_1KM_PRISCH = c(4L, 4L, 3L, 3L, 3L,          3L, 2L, 3L, 3L, 4L, 3L, 4L, 0L, 1L, 3L, 3L, 4L, 5L, 3L,          4L), DNeighbour = c(0, 80.5845474471894, 322.841829336061,          324.9804089835, 349.744596319554, 423.885754433009, 465.688725625662,          555.760100905974, 592.200336807167, 605.185649890176,          627.576029351768, 648.883938262232, 739.822636283222,          823.99153752959, 931.670941452173, 1027.82304883961,          1037.06145041669, 1139.98738085627, 1186.35404110912,          1195.44606553843)), row.names = c("472", "897", "533",      "181", "199", "116", "288", "279", "436", "430", "75", "201",      "622", "346", "646", "307", "920", "628", "269", "417"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.990932538658759, 0.859454609035997, 0.857658074194771,      0.836138790588058, 0.764348663981153, 0.719526418264353,      0.614452409425718, 0.569418799748059, 0.553117196878958,      0.524761329678624, 0.497549603999952, 0.380692827895648,      0.275519437476802, 0.154145369764502, 0.0680035251793016,      0.0612197988755255, 0.00821399006940115, 0.000229621135710114,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11965305794 
R squared (OOB):                  0.5068753 

$Forests[[473]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 420000, 365000,      395000, 350000, 399000, 355000, 440000, 410000, 380000, 415000,      411000, 418000, 423000, 415000, 425000, 420000, 390000, 422500,      415000), floor_area_sqm = c(102, 103, 103, 103, 84, 102,      84, 104, 84, 105, 108, 104, 84, 104, 103, 104, 105, 109,      104, 108), storey_order = c(3L, 2L, 1L, 4L, 2L, 3L, 3L, 3L,      4L, 1L, 3L, 1L, 3L, 2L, 2L, 4L, 2L, 1L, 3L, 2L), remaining_lease_mths = c(755,      757, 757, 772, 806, 766, 804, 752, 814, 775, 904, 806, 821,      827, 768, 775, 787, 908, 765, 891), PROX_CBD = c(13.2614515751509,      13.2614515751509, 13.0970803497533, 13.1724132817366, 13.3385512116162,      13.0078000734933, 13.01786092695, 13.1913836000948, 12.8927390133383,      12.8173662852819, 13.7944980809676, 13.1755942624772, 13.3325431063631,      13.4971436153267, 13.0537205387581, 13.5598735525989, 12.7549887608908,      13.9032473641583, 13.4875816574924, 13.8459786715751), PROX_ELDERLYCARE = c(0.99636081833896,      0.99636081833896, 0.830352740740998, 0.906244923447749, 1.09997831443452,      0.748101088186933, 0.807586217367385, 0.779182108791446,      0.702153634905252, 0.548539301056628, 0.91518434198946, 1.08363260419178,      1.22529955141455, 1.36472832701396, 0.569472877275307, 0.555470204987842,      0.556485595404089, 1.01451296282065, 0.428841001075194, 0.429452782693922     ), PROX_HAWKER = c(1.14030290242306, 1.14030290242306, 0.973651338137405,      1.03184370064912, 1.2578245237404, 0.90031621758677, 0.976719939584195,      1.05769292681279, 0.876276656944215, 0.687183343617196, 1.66782294138278,      1.26154745049637, 1.40113048988486, 1.53740682378418, 0.963287544217337,      1.44869421276883, 0.627642822312809, 1.79397933605035, 1.41347495302278,      1.71981564227335), PROX_MRT = c(0.667490524156887, 0.667490524156887,      0.602819058882962, 0.712767869041386, 0.602718547061467,      0.513893198964272, 0.343251427728879, 0.577154139562059,      0.279401054335897, 0.607087114668938, 0.658832763416297,      0.324849533681113, 0.481797794839233, 0.586728597341744,      0.551410176707671, 0.172867375742438, 0.561554903993597,      0.800124130005956, 0.229256973107587, 0.2084775132707), PROX_PARK = c(0.758867978246924,      0.758867978246924, 0.879464356596765, 0.94305137750942, 0.569772965965399,      0.842333894517479, 0.656436399769765, 1.12092772213378, 0.620470631841848,      0.953457314885518, 0.645156432286565, 0.447685878226129,      0.354623255285983, 0.212766960501703, 0.974634241933185,      1.16233583500127, 1.16122098497616, 0.561902145555774, 1.00267286051928,      1.1446906726086), PROX_GOOD_PRISCH = c(1.91909050044553,      1.91909050044553, 1.76550469910092, 1.76071721252525, 2.07907555576542,      1.72660166123773, 1.85318585541752, 1.6842887316892, 1.774803188623,      1.5016146113424, 2.39271928635374, 2.16883728054707, 2.29474127216967,      2.41235725048041, 1.48818847749708, 1.97663004084467, 1.29435567579286,      2.54268815221988, 1.87202126825599, 2.27101821651052), PROX_MALL = c(0.72813233212774,      0.72813233212774, 0.655283448157635, 0.808064657998832, 0.668924040978838,      0.5620231960968, 0.400117032043626, 0.813382909306435, 0.322264379768498,      0.635314033644823, 1.14990641994387, 0.386525633611572, 0.542371475290289,      0.707673546664446, 0.593340478429386, 1.05810160080284, 0.542723135774117,      1.19892197022629, 0.948424723316687, 1.35153556565047), PROX_CHAS = c(0.255705601713763,      0.255705601713763, 0.10733838099953, 0.253073540027742, 0.191227179226131,      1.4078617678234e-08, 0.191102980152323, 0.19044114280624,      0.241407331054591, 0.149554006756045, 0.17469359838053, 0.194419509978617,      0.059226360432522, 0.13417187150752, 0.203693673714882, 0.180657994610612,      0.144180959238343, 0.278906060515125, 0.231037598077535,      0.345234103044859), PROX_SUPERMARKET = c(0.336474046543398,      0.336474046543398, 0.176189281490626, 0.263318229535236,      0.444314653432489, 0.0851968725918189, 0.230446816430876,      0.190441743522314, 0.234452518543083, 0.14719471752053, 0.357404112790227,      0.386520309138909, 0.542367678587035, 0.707669264145537,      0.349948262987797, 0.180658044884504, 0.150188458093997,      0.357092891009527, 0.231037826802092, 0.426625283183798),          WITHIN_350M_KINDERGARTEN = c(2L, 2L, 1L, 1L, 1L, 2L,          3L, 3L, 2L, 3L, 1L, 1L, 0L, 0L, 2L, 2L, 2L, 0L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 1L, 3L, 3L, 2L,          2L, 4L, 4L, 2L, 3L, 5L, 6L, 5L, 2L, 3L, 3L, 2L, 2L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 4L, 6L, 5L, 6L, 5L, 8L,          4L, 5L, 7L, 12L, 10L, 7L, 8L, 11L, 7L, 7L, 10L, 12L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 5L, 4L, 4L, 5L,          4L, 5L, 4L, 4L, 4L, 4L, 6L, 6L, 5L, 3L, 5L, 5L), DNeighbour = c(0,          4.15891823513535, 174.387972037524, 181.546419120947,          194.177520953267, 260.917919176833, 334.420547651232,          378.480525512971, 443.919270585214, 451.354138296132,          535.921148902785, 537.949409499848, 546.515505136559,          581.474080826874, 588.08712320533, 619.881297801822,          626.393762185431, 653.284125929536, 717.375420431577,          752.236268516716)), row.names = c("473", "753", "597",      "225", "618", "103", "789", "229", "493", "523", "542", "131",      "565", "353", "541", "564", "215", "113", "663", "970"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999938867017418, 0.895401698475338, 0.886900411881829,      0.871173956693344, 0.773855690998281, 0.643779725842783,      0.557784394155869, 0.424769351646328, 0.409574726922834,      0.242490402386257, 0.238714300201204, 0.2229417914797, 0.161990440895894,      0.151174788840122, 0.10300210165833, 0.0940011382504986,      0.0604098326931081, 0.00819717141001765, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       687854405 
R squared (OOB):                  -0.1229661 

$Forests[[474]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 369988, 330000,      385000, 405000, 398888, 385000, 370000, 353000, 345000, 370000,      356888, 390000, 425000, 350000, 370000, 374000, 375000, 378888,      365000), floor_area_sqm = c(91, 91, 85, 93, 93, 93, 93, 93,      93, 85, 90, 91, 100, 92, 91, 90, 94, 90, 90, 90), storey_order = c(5L,      4L, 4L, 4L, 6L, 6L, 5L, 3L, 1L, 6L, 2L, 5L, 6L, 3L, 1L, 3L,      3L, 4L, 6L, 3L), remaining_lease_mths = c(993, 1002, 992,      1138, 1138, 1127, 1140, 1127, 1136, 968, 1016, 963, 942,      1059, 992, 997, 987, 986, 949, 979), PROX_CBD = c(13.2138793761114,      13.2138793761114, 13.0825190214061, 12.9439612539798, 12.9439612539798,      12.9439612539798, 12.9599687546274, 12.9599687546274, 12.9273038019752,      13.131637538161, 13.0393088300804, 13.1584578321731, 12.9172885276263,      13.6873856248974, 12.6773565587662, 13.5299248791723, 13.4804039164095,      13.5741440973944, 12.4403773011877, 13.6373310118807), PROX_ELDERLYCARE = c(0.200446926946864,      0.200446926946864, 0.120371550198491, 0.119102012768026,      0.119102012768026, 0.119102012768026, 0.230213196902471,      0.230213196902471, 0.250608726248769, 0.425459762987539,      0.38924985743242, 0.528614390300154, 0.440978457512705, 0.720975229682918,      0.36284597954094, 0.737190256849548, 0.746393599063579, 0.759293685927778,      0.624054710630084, 0.753498484846986), PROX_HAWKER = c(1.87231067409155,      1.87231067409155, 1.90213677974947, 2.07494386608678, 2.07494386608678,      2.07494386608678, 2.16699861471209, 2.16699861471209, 2.14952956067865,      1.67102672130552, 1.75849952292251, 1.59466084315792, 1.76689210194785,      1.83406121528111, 1.72249172765999, 1.28441999759135, 1.28815813567136,      1.13978469441664, 1.46996215979098, 1.08343538740726), PROX_MRT = c(0.348476568009787,      0.348476568009787, 0.30821900832469, 0.464899886897548, 0.464899886897548,      0.464899886897548, 0.576831878931421, 0.576831878931421,      0.585364307317434, 0.197259382412543, 0.103022581922205,      0.258879114766752, 0.0642144868642362, 0.19923660487806,      0.142163643631393, 0.189597864599581, 0.26513727845816, 0.147719870982538,      0.140157494228817, 0.0904459633140829), PROX_PARK = c(0.701388397724732,      0.701388397724732, 0.557623544885242, 0.700809394437081,      0.700809394437081, 0.700809394437081, 0.828547076231476,      0.828547076231476, 0.834972281659159, 0.350705699368152,      0.291844359651056, 0.332476768251147, 0.18581491955197, 0.855123415409032,      0.484105342641425, 0.695004999747215, 0.640650351334918,      0.739375101722708, 0.525489875872169, 0.802899104641211),          PROX_GOOD_PRISCH = c(4.43819501492863, 4.43819501492863,          4.27923006279343, 4.27162250172191, 4.27162250172191,          4.27162250172191, 4.35761410397793, 4.35761410397793,          4.33782029579385, 4.16094245740848, 4.09066115622083,          4.13557899544262, 3.96344124390297, 4.98236347160825,          3.92066991749349, 4.45977917937361, 4.38951064564596,          4.41976113712118, 3.6640626331803, 4.47444600576345),          PROX_MALL = c(0.411800643307333, 0.411800643307333, 0.482494809972804,          0.646092130793046, 0.646092130793046, 0.646092130793046,          0.630320880177991, 0.630320880177991, 0.664096204002356,          0.249640338015364, 0.199839805040887, 0.231810009894563,          0.125441786165087, 0.138188079312201, 0.485078273736912,          0.598877544697789, 0.548104683226502, 0.656440732478167,          0.37643645467035, 0.719665126414215), PROX_CHAS = c(0.186991486151685,          0.186991486151685, 0.1115602293269, 0.136400058110832,          0.136400058110832, 0.136400058110832, 0.256311352337612,          0.256311352337612, 0.273668945808659, 0.23569948169583,          0.19843851708658, 0.20604200841638, 0.146232137849481,          0.138188055488585, 0.334175310205776, 0.124645472322039,          0.196586841411628, 0.175269995719201, 0.376436475429729,          0.111923036871509), PROX_SUPERMARKET = c(0.40197012970004,          0.40197012970004, 0.482493892596986, 0.636728053790567,          0.636728053790567, 0.636728053790567, 0.621743565428055,          0.621743565428055, 0.655577492568061, 0.249639808314143,          0.199839014107547, 0.231809873410795, 0.125440795942109,          0.147450463248511, 0.485077395132212, 0.181636181040517,          0.253358431108118, 0.3594639622224, 0.426522673463594,          0.371011221099329), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 2L, 1L, 2L, 1L, 1L,          4L, 3L, 2L, 0L, 2L), WITHIN_350M_CHILDCARE = c(5L, 5L,          7L, 4L, 4L, 4L, 3L, 3L, 3L, 5L, 8L, 6L, 9L, 6L, 8L, 5L,          5L, 6L, 4L, 6L), WITHIN_350M_BUS = c(2L, 2L, 4L, 3L,          3L, 3L, 3L, 3L, 3L, 7L, 7L, 7L, 9L, 7L, 13L, 8L, 9L,          10L, 11L, 11L), WITHIN_1KM_PRISCH = c(6L, 6L, 5L, 4L,          4L, 4L, 4L, 4L, 4L, 7L, 7L, 7L, 7L, 5L, 4L, 6L, 5L, 9L,          4L, 8L), DNeighbour = c(0, 5.16213866917425, 156.473146067168,          294.007076001268, 294.756367243892, 297.332008931906,          348.909758011932, 352.336384522924, 382.519726929392,          409.10370207083, 418.730658744655, 497.521396031142,          517.824393149791, 544.940873730205, 554.70670488305,          598.894258947458, 629.725017123777, 786.106221686608,          813.380094474311, 824.568047870845)), row.names = c("474",      "313", "886", "732", "882", "936", "95", "990", "462", "153",      "141", "339", "887", "4", "400", "165", "72", "15", "444",      "660"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999921615929136,      0.929276159907258, 0.76189461915866, 0.76076233744642, 0.756854695963767,      0.673959645614241, 0.668169421406255, 0.615901392912446,      0.568277879934718, 0.55074310304593, 0.404422288874129, 0.366778748342075,      0.317236004881738, 0.299693221875616, 0.223227747413221,      0.173687119069556, 0.00830174207596101, 0.000726433034811191,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       429566101 
R squared (OOB):                  0.09317746 

$Forests[[475]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(358000, 342000, 295000,      338000, 3e+05, 410000, 340000, 370000, 358000, 585000, 455000,      334008, 345000, 370000, 443000, 447888, 462000, 335000, 445000,      347000), floor_area_sqm = c(103, 106, 84, 104, 84, 101, 103,      102, 104, 91, 99, 103, 90, 90, 93, 93, 93, 102, 93, 90),          storey_order = c(4L, 3L, 4L, 2L, 2L, 3L, 3L, 3L, 4L,          10L, 2L, 2L, 5L, 3L, 5L, 5L, 5L, 4L, 4L, 2L), remaining_lease_mths = c(815,          822, 804, 818, 796, 936, 819, 927, 815, 995, 951, 917,          937, 977, 1134, 1137, 1134, 940, 1133, 971), PROX_CBD = c(13.3358607953132,          13.4005544783984, 13.4836212956012, 13.540845499052,          13.0363382428153, 13.8911800577968, 13.4421606987754,          14.12564920201, 14.0960645211931, 14.2059144167977, 14.3012013074868,          14.2719972222741, 14.2787185061121, 14.489397367385,          14.1475961545785, 14.1475961545785, 14.1475961545785,          14.4474740114555, 14.1149653809405, 14.6079806280174),          PROX_ELDERLYCARE = c(1.82755511634294, 1.97051284494128,          1.90290557072286, 2.00347240504871, 2.32849407054544,          1.40411939431899, 2.21821379350418, 1.44816412197145,          1.70531999087377, 0.923774065318005, 0.93663965535868,          1.50921581969441, 1.77826193055387, 0.929205058584809,          2.03155968851809, 2.03155968851809, 2.03155968851809,          1.50338082315219, 2.12564955085825, 0.966138977916587         ), PROX_HAWKER = c(0.304539750383927, 0.12929497730436,          0.2119534509789, 0.326481146247567, 0.273412421583494,          0.687446499339865, 0.414492581023045, 0.778468578249857,          0.845358517598031, 0.829910539202106, 0.693090021451824,          0.684102697062058, 0.865181709866835, 0.478869651742105,          1.0452124348096, 1.0452124348096, 1.0452124348096, 0.588144724666333,          1.06810792734919, 0.31691894051251), PROX_MRT = c(0.127895121346052,          0.190014195795526, 0.193711088781655, 0.080163548628182,          0.403045881609603, 0.241174931861397, 0.190553770403229,          0.476637705223286, 0.217341234217998, 0.127617925270923,          0.189883903502813, 0.347262283963267, 0.14195902454703,          0.0437298005890327, 0.206896355650083, 0.206896355650083,          0.206896355650083, 0.224566301285939, 0.282489779359316,          0.188565130994124), PROX_PARK = c(0.385477438930733,          0.588173355458052, 0.646728518696572, 0.80961064190221,          0.517161111062201, 0.90249149706597, 0.89429546385096,          1.20701221478007, 1.27300714898888, 0.716522496183652,          0.812876767906526, 1.38760566459916, 1.51686048726609,          0.935596264101672, 1.52292224478236, 1.52292224478236,          1.52292224478236, 1.55939681176166, 1.55223981690243,          1.07918529837209), PROX_GOOD_PRISCH = c(4.27184313218833,          4.50146177611143, 4.5626858677187, 4.71745369301481,          4.29037325314161, 4.74545729482833, 4.75420572996722,          5.06260566207177, 5.17863906457975, 4.85056771881294,          4.98177209241419, 5.26118802945754, 5.42826997650874,          5.1963266927986, 5.43570837857945, 5.43570837857945,          5.43570837857945, 5.45861643017911, 5.45814117537329,          5.35450137646782), PROX_MALL = c(0.761223886000054, 0.610989928852924,          0.551151307820263, 0.403528889272069, 0.898390579507312,          0.267645090747045, 0.472918799427377, 0.287395381957405,          0.243284841315127, 0.148456555084967, 0.236735170365795,          0.108121271181015, 0.338911837083335, 0.345992784345898,          0.329425359540921, 0.329425359540921, 0.329425359540921,          0.12145856762689, 0.377565489031552, 0.479398555662368         ), PROX_CHAS = c(0.267020330020893, 0.158416400393545,          0.229483689413426, 0.253510567884045, 0.170237474205233,          0.241761013919413, 0.291197842200049, 0.182188888557241,          0.132339190026647, 0.148456588323488, 0.214782230853987,          0.108121286081234, 0.18872293939054, 3.77135010377852e-08,          0.188783823394846, 0.188783823394846, 0.188783823394846,          0.121458549123021, 0.179884741524278, 0.166948923507452         ), PROX_SUPERMARKET = c(0.442772380644983, 0.139889213791387,          0.191700628396676, 0.1865280595431, 0.322492439389486,          0.315435463566428, 0.249308161339926, 0.277268812686258,          0.226949559622758, 0.154204342539502, 0.172194506074768,          0.105248463653719, 0.188722783027928, 0.31785895032531,          0.235757849482592, 0.235757849482592, 0.235757849482592,          0.134916350552101, 0.299769914037237, 0.218811722485387         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 2L, 1L, 2L, 1L,          1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 4L, 5L, 5L, 3L, 3L,          2L, 3L, 7L, 7L, 6L, 4L, 6L, 5L, 6L, 6L, 6L, 5L, 6L, 2L         ), WITHIN_350M_BUS = c(9L, 10L, 12L, 11L, 4L, 15L, 6L,          10L, 9L, 17L, 15L, 10L, 8L, 13L, 6L, 6L, 6L, 11L, 5L,          13L), WITHIN_1KM_PRISCH = c(3L, 4L, 4L, 4L, 3L, 5L, 4L,          5L, 5L, 3L, 3L, 5L, 4L, 5L, 4L, 4L, 4L, 5L, 4L, 5L),          DNeighbour = c(0, 312.268354953977, 334.062749759711,          524.215887067526, 528.134634748451, 553.63665111289,          683.934806556158, 818.573493468159, 909.048149239408,          938.05386880431, 998.677950470909, 1002.47193054313,          1153.5949796601, 1165.82393861159, 1194.28841563729,          1194.43660225837, 1197.01713776273, 1207.49767283796,          1243.28338049673, 1273.19033437197)), row.names = c("475",      "859", "681", "617", "62", "599", "123", "703", "880", "146",      "717", "381", "329", "374", "966", "623", "207", "826", "519",      "385"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.88330926093306,      0.86705050992492, 0.68968876553913, 0.685469742248293, 0.657578955434244,      0.506140617514709, 0.344146220978754, 0.24031068240322, 0.20899863677735,      0.148018789591627, 0.144436795949079, 0.0320566405047323,      0.0260970910264471, 0.014424761446488, 0.0143723558325395,      0.0134740418734128, 0.0101065906949889, 0.0021555387123363,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3686069274 
R squared (OOB):                  0.2534573 

$Forests[[476]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(630000, 638000, 485000,      448000, 520000, 430000, 565000, 5e+05, 548000, 648000, 420000,      560000, 588000, 670000, 516000, 375000, 439000, 440000, 345000,      450000), floor_area_sqm = c(102, 102, 103, 105, 108, 93,      103, 105, 95, 116, 91, 104, 95, 94, 98, 92, 97, 92, 92, 92     ), storey_order = c(6L, 9L, 2L, 1L, 1L, 3L, 4L, 2L, 2L, 4L,      1L, 3L, 3L, 6L, 3L, 2L, 3L, 3L, 1L, 1L), remaining_lease_mths = c(870,      869, 855, 866, 860, 728, 852, 857, 981, 871, 742, 851, 1025,      1104, 698, 695, 669, 677, 695, 679), PROX_CBD = c(7.86314261154951,      7.86314261154951, 7.70120549943486, 8.05276498978228, 7.50210394472385,      8.20083785223568, 8.19182633034048, 8.19182633034048, 8.37940280964872,      8.27332873959955, 8.31995738049774, 7.6651195249001, 8.51090417959469,      8.58683984966127, 8.70928269501252, 8.4016901584654, 8.73211086874077,      8.7589377611275, 8.46158045860266, 8.7589377611275), PROX_ELDERLYCARE = c(0.731462959428347,      0.731462959428347, 0.883817181840043, 0.599632276485302,      0.808331791227546, 0.41240614163537, 0.444818640633349, 0.444818640633349,      0.335901694998922, 0.354571010374291, 0.259768432786295,      0.216787702409289, 0.120425912751251, 0.203840329735754,      0.119444653145476, 0.150390524199432, 0.292319821872094,      0.169235371196244, 0.0854535518544851, 0.169235371196244),          PROX_HAWKER = c(0.573870222021737, 0.573870222021737,          0.72907919143595, 0.560005371648267, 0.932792437987216,          0.35604829505958, 0.553760551741158, 0.553760551741158,          0.203869560106314, 0.610975272844239, 0.387410687724852,          0.778265933598076, 0.166697492306482, 0.433030813326955,          0.281172749103646, 0.205000896629144, 0.436547444862961,          0.330091511745513, 0.266645682444034, 0.330091511745513         ), PROX_MRT = c(0.85984195598231, 0.85984195598231, 0.692418360175919,          1.12051759514643, 0.506174946521629, 0.805467939952349,          1.08457427678223, 1.08457427678223, 0.62312262100292,          1.0936063211659, 0.705543842504761, 0.910191895307983,          0.608243230971526, 0.751078096441513, 0.379410256905797,          0.747297636603152, 0.600073719023998, 0.338391484905848,          0.681495718287031, 0.338391484905848), PROX_PARK = c(0.281207712521794,          0.281207712521794, 0.450335295656325, 0.30128672956265,          0.621272392201987, 0.393072899865764, 0.374102285306053,          0.374102285306053, 0.394842599629624, 0.477465658778908,          0.517920409018535, 0.361681715476141, 0.368529270986479,          0.52118662053352, 0.513364518506117, 0.784786352249359,          0.617507126900098, 0.469340752260783, 0.773425606080498,          0.469340752260783), PROX_GOOD_PRISCH = c(0.562813849840511,          0.562813849840511, 0.490611064856358, 0.631981624625733,          0.343243332218702, 1.04754826657838, 0.769163347741007,          0.769163347741007, 1.14854892992093, 0.856939381531897,          1.20021801549651, 0.353240700451805, 1.13331232297991,          1.16640042723588, 1.35677240305411, 1.42922442943649,          1.31940815963163, 1.40615721612308, 1.4534383809239,          1.40615721612308), PROX_MALL = c(0.943364056194349, 0.943364056194349,          0.779066462317335, 1.07178760783233, 0.584674138925751,          0.844084234929545, 0.997182626507123, 0.997182626507123,          0.651389947232486, 0.991200103712322, 0.768764019555169,          0.987031177772312, 0.540250505232014, 0.632538285087724,          0.313890580083005, 0.856591768216477, 0.469553394647833,          0.264395031718586, 0.793630348518112, 0.264395031718586         ), PROX_CHAS = c(0.201852081003395, 0.201852081003395,          0.0405139203460024, 0.167974733321899, 0.169910439255117,          0.0460460495231756, 0.311461966699573, 0.311461966699573,          0.11938167830482, 0.413431749899638, 0.1066489590073,          0.371562543403755, 0.0869956868442428, 0.237191200694799,          0.112175615725657, 0.14998683096932, 0.0664211666443358,          0.0806835690144568, 0.161491876005888, 0.0806835690144568         ), PROX_SUPERMARKET = c(0.115543350477338, 0.115543350477338,          0.0588346413192393, 0.372458117254617, 0.26407208892283,          0.436961702644775, 0.485938543293979, 0.485938543293979,          0.282093113359979, 0.502190497784501, 0.284909088626731,          0.176585087131714, 0.0869967242830128, 0.35437102597818,          0.221335227738319, 0.194600933367586, 0.350370254212894,          0.24726445439454, 0.128302570008396, 0.24726445439454         ), WITHIN_350M_KINDERGARTEN = c(4L, 4L, 4L, 3L, 2L, 1L,          0L, 0L, 1L, 0L, 1L, 0L, 2L, 1L, 2L, 0L, 1L, 2L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 3L, 3L, 2L,          2L, 2L, 4L, 4L, 3L, 1L, 6L, 5L, 7L, 3L, 6L, 8L, 3L, 8L         ), WITHIN_350M_BUS = c(2L, 2L, 4L, 5L, 4L, 7L, 7L, 7L,          6L, 8L, 7L, 5L, 5L, 4L, 6L, 7L, 7L, 6L, 7L, 6L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 2L, 2L, 0L, 3L, 2L, 4L,          3L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 7.75141352230046,          173.665437272683, 360.681385284487, 362.733057657373,          490.673134370044, 508.622989341543, 508.660644160261,          587.833408362053, 626.873821230335, 646.040933003313,          647.917180602224, 655.354268090541, 783.250763808308,          848.145795821605, 889.967842061325, 895.132988077174,          901.935801059913, 903.642263567096, 905.82208445556)), row.names = c("476",      "931", "811", "635", "460", "79", "128", "674", "998", "795",      "716", "935", "94", "149", "446", "682", "842", "386", "676",      "194"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999853549756875,      0.927836926975052, 0.708040927407358, 0.705000031894393,      0.499246667788548, 0.468831794678203, 0.468767865293125,      0.335083135375379, 0.271511168481408, 0.241407313309908,      0.238508500941434, 0.227109953497353, 0.0636653121909155,      0.0152007937319539, 0.00120401093268297, 0.000550447779619233,      7.33124687024866e-05, 2.31084098639026e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5538155962 
R squared (OOB):                  0.3686467 

$Forests[[477]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 365000, 347000,      315000, 440000, 375000, 380000, 388000, 370000, 308000, 446000,      355000, 330000, 340000, 390000, 365000, 420000, 360000, 420000,      360000), floor_area_sqm = c(98, 103, 103, 84, 103, 92, 102,      103, 104, 84, 107, 103, 103, 104, 104, 107, 99, 103, 90,      99), storey_order = c(2L, 4L, 3L, 3L, 2L, 2L, 2L, 3L, 2L,      1L, 3L, 3L, 2L, 1L, 1L, 1L, 3L, 1L, 2L, 2L), remaining_lease_mths = c(767,      768, 777, 788, 918, 938, 938, 935, 763, 795, 783, 793, 800,      772, 763, 766, 929, 777, 925, 796), PROX_CBD = c(12.6407298816561,      12.6612960596841, 12.4516179583977, 13.0463978034086, 12.1964782349865,      12.0748651503812, 12.4172252614445, 12.2384019056968, 13.075732494377,      13.3304860768802, 13.1163383572019, 13.46147060752, 13.46147060752,      13.1145091682395, 13.1145091682395, 13.578535689825, 13.2222340992065,      13.7231688188033, 12.960867808991, 13.8977069202737), PROX_ELDERLYCARE = c(0.198383641986835,      0.349885373003571, 0.517665393733001, 0.612412426395362,      0.395535007521183, 0.485644504612505, 0.466477120293287,      0.481492260541915, 0.206309775801723, 0.85382998667073, 0.258125844069092,      1.01995663096129, 1.01995663096129, 0.233566729538939, 0.233566729538939,      0.535215785060316, 0.385934705647939, 0.681177733621966,      0.579007844644764, 1.56746404607568), PROX_HAWKER = c(1.70233840124208,      1.71720286170745, 1.97187302693261, 1.36023111372333, 2.11269605893479,      1.97379568283644, 1.89270186421095, 2.08679181031876, 1.2806114078583,      1.09459947163448, 1.23349193679857, 1.03983060555389, 1.03983060555389,      1.24018164124527, 1.24018164124527, 0.775756145922257, 1.08380419022874,      0.601426993813282, 1.16344345150942, 1.04237506554324), PROX_MRT = c(0.712674611555213,      0.798149237832703, 1.07246547116041, 0.622051877914657, 1.03396693725809,      1.16171233055988, 0.847625669994717, 1.00400763232319, 0.218393806785847,      0.525688124362732, 0.166998983475289, 0.367668143276235,      0.367668143276235, 0.402767024758649, 0.402767024758649,      0.357978123578611, 0.503688459146237, 0.498221170198522,      0.899387073359532, 0.300373388684648), PROX_PARK = c(0.87239282209614,      0.722272593032778, 0.540079114132334, 0.572775970192077,      0.631382355736929, 0.570565135790359, 0.790049777369869,      0.617440020241687, 1.31516124688894, 0.620743454357064, 1.28385310080255,      0.582693033366388, 0.582693033366388, 1.4917670023494, 1.4917670023494,      1.33984402369384, 1.61082819122054, 1.26781451063295, 1.44660566239193,      0.782220037546154), PROX_GOOD_PRISCH = c(2.56532775368338,      2.58047246486208, 2.37408427308534, 2.96540091825049, 2.16851203086393,      2.03318600563725, 2.44639044951476, 2.2532718981807, 3.06740437701091,      3.24954726475941, 3.10133739012884, 3.38131302543864, 3.38131302543864,      3.15473759747012, 3.15473759747012, 3.55013641033528, 3.2388029474634,      3.673854441535, 2.82458087567675, 3.83525569342672), PROX_MALL = c(0.751522975449472,      0.817237002784756, 1.09246464633101, 0.587476612974174, 1.12036230953297,      1.24268779707958, 0.95273084922996, 1.10261213560447, 0.332903613799786,      0.513372166694422, 0.281310431650798, 0.644549177151603,      0.644549177151603, 0.504156272689578, 0.504156272689578,      0.305514521023982, 0.587950861513872, 0.406890039239853,      0.695129776671669, 1.14150204308926), PROX_CHAS = c(0.217156748290024,      0.248450831201433, 0.137011223676854, 0.40513819943783, 0.194956542036987,      0.0669716337617594, 0.132703338642494, 0.187666753228527,      0.122328851042638, 0.472814153962233, 0.155371621529032,      0.348399033159575, 0.348399033159575, 0.11048408202451, 0.11048408202451,      0.282171570268124, 0.151225190585885, 0.176857487498571,      0.341366062526918, 0.162936326565904), PROX_SUPERMARKET = c(0.217156859083098,      0.326739034058403, 0.417679622168911, 0.599997973636583,      0.242376621204914, 0.301394789473075, 0.453312253927337,      0.388917381074845, 0.193246634773484, 0.510727353781082,      0.141466460051892, 0.356146193343619, 0.356146193343619,      0.362446168440829, 0.362446168440829, 0.281417393052806,      0.459946280432931, 0.270532795629183, 0.668273194253219,      0.162936951836525), WITHIN_350M_KINDERGARTEN = c(2L, 2L,      1L, 2L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L,      0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 3L, 3L, 2L, 4L,      2L, 3L, 2L, 4L, 4L, 4L, 3L, 3L, 6L, 6L, 4L, 5L, 4L, 1L, 4L     ), WITHIN_350M_BUS = c(10L, 12L, 9L, 7L, 9L, 9L, 9L, 10L,      10L, 5L, 9L, 6L, 6L, 7L, 7L, 10L, 8L, 8L, 2L, 5L), WITHIN_1KM_PRISCH = c(3L,      3L, 3L, 4L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L,      4L, 3L, 3L, 3L), DNeighbour = c(0, 148.081058411801, 373.35429453205,      438.874898198942, 565.930881978747, 624.26726354867, 665.569445451472,      680.543223748511, 703.818067093101, 708.342701724139, 709.614513621958,      863.435274582402, 872.239835885782, 911.146044139893, 916.209459696679,      1059.09712094758, 1067.32616863633, 1135.10855155597, 1281.24284041565,      1395.9764845171)), row.names = c("477", "552", "851", "987",      "677", "721", "296", "399", "929", "61", "105", "332", "526",      "844", "164", "856", "350", "960", "831", "479"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.977621936779433, 0.862057191679986, 0.812092404910724,      0.698310370254553, 0.640033213696215, 0.597040125149481,      0.581163001406345, 0.556227181851216, 0.551347271302467,      0.549973856562567, 0.38122800854313, 0.371605780779156, 0.329464532388322,      0.324036470462582, 0.180121452319553, 0.172580310887372,      0.114800150173931, 0.0248448893735299, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1384512774 
R squared (OOB):                  0.01848638 

$Forests[[478]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 4e+05, 420000,      350000, 340000, 375000, 377000, 350000, 385000, 390000, 390000,      368888, 350000, 390000, 412000, 380000, 331000, 310000, 4e+05,      370000), floor_area_sqm = c(92, 92, 92, 104, 92, 92, 92,      92, 92, 93, 92, 92, 92, 92, 92, 93, 107, 104, 96, 92), storey_order = c(3L,      4L, 4L, 3L, 2L, 1L, 2L, 1L, 3L, 3L, 2L, 2L, 1L, 4L, 3L, 3L,      2L, 3L, 2L, 1L), remaining_lease_mths = c(1136, 1142, 1133,      812, 1133, 1139, 1135, 1131, 1132, 1113, 1128, 1102, 1111,      1142, 1128, 1110, 869, 869, 1098, 1090), PROX_CBD = c(14.7935232496013,      14.8350589102573, 14.7615340778399, 14.8739209120931, 14.8395197777251,      14.8395197777251, 14.5662038835035, 14.6346875310408, 14.9536689261967,      14.6879879340018, 14.5136499050456, 14.8482953663728, 14.8482953663728,      14.5596883563906, 14.5596883563906, 14.607628567626, 15.2221855529023,      15.2437764157418, 15.0414874321427, 15.0414874321427), PROX_ELDERLYCARE = c(0.348662381557687,      0.366071958673004, 0.301679225956583, 0.224374856243457,      0.143171284390361, 0.143171284390361, 0.396119369193007,      0.318998242024868, 1.13414610370389e-06, 0.267910637295867,      0.440212280139716, 0.157028625587627, 0.157028625587627,      0.399519357429504, 0.399519357429504, 0.363539264939185,      0.277621781700774, 0.313986883487753, 0.180026828914976,      0.180026828914976), PROX_HAWKER = c(0.61938764744993, 0.625406547060166,      0.582527401679673, 0.490895901627697, 0.426817039061835,      0.426817039061835, 0.661743266121302, 0.567748890704442,      0.283688306330561, 0.507741768149319, 0.681591249319273,      0.332945546865787, 0.332945546865787, 0.625641729464286,      0.625641729464286, 0.571839614015762, 0.252887916114098,      0.306302732963744, 0.135868389364205, 0.135868389364205),          PROX_MRT = c(1.80023823132094, 1.81204065654847, 1.75082728996661,          1.67344316225132, 1.58589972239689, 1.58589972239689,          1.61118001364451, 1.53691575721219, 1.45204946878565,          1.51619569366002, 1.51230084146916, 1.41585626072206,          1.41585626072206, 1.46473462254762, 1.46473462254762,          1.42703012637354, 1.3991563615676, 1.43926724244883,          1.27219969611937, 1.27219969611937), PROX_PARK = c(0.794674698621811,          0.813480610745631, 0.739209778966795, 0.671840643384197,          0.573834160005083, 0.573834160005083, 0.741043428920938,          0.633519966923, 0.447466290733612, 0.573128508978659,          0.723946747094916, 0.40224168015695, 0.40224168015695,          0.656743209310805, 0.656743209310805, 0.592644125813336,          0.500874596291267, 0.554495921895103, 0.270313948020077,          0.270313948020077), PROX_GOOD_PRISCH = c(5.58881641790013,          5.6396253746677, 5.53447364393692, 5.63420261242257,          5.56483468018996, 5.56483468018996, 5.30307595814772,          5.34297669438126, 5.64958645026222, 5.38500296681299,          5.22451833965112, 5.51627049340211, 5.51627049340211,          5.25302892838613, 5.25302892838613, 5.28617698570013,          5.9271396376627, 5.96162295702861, 5.69200203864946,          5.69200203864946), PROX_MALL = c(0.980189305249844, 1.03026167893405,          0.897398400321744, 0.927972955155417, 0.805396060532061,          0.805396060532061, 0.69438942428714, 0.633302242537752,          0.806257336881612, 0.626246838364162, 0.591658790399046,          0.649229394533883, 0.649229394533883, 0.550646738699849,          0.550646738699849, 0.523782484457491, 1.02106462402642,          1.03199787585398, 0.767711199656331, 0.767711199656331         ), PROX_CHAS = c(0.244316778428722, 0.298721071991625,          0.166975848000366, 0.25243947150411, 0.204546662914522,          0.204546662914522, 0.0799578054615725, 0.120955806912261,          0.14456617920399, 0.160113448728027, 0.179710137259641,          0.274130336331615, 0.274130336331615, 0.19650938121062,          0.19650938121062, 0.198893245072118, 0.0544459444778504,          4.60754704120663e-08, 0.163757574589084, 0.163757574589084         ), PROX_SUPERMARKET = c(0.416104879739584, 0.402632437071234,          0.408349928269047, 0.298947211163532, 0.280088374069707,          0.280088374069707, 0.41943325951703, 0.327836032489634,          0.16127040484797, 0.300165340388346, 0.343491998264143,          0.296829834724774, 0.296829834724774, 0.27843134046436,          0.27843134046436, 0.223766299699327, 0.0768892314501321,          0.0947293086454089, 0.197268674737732, 0.197268674737732         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L, 3L, 5L, 5L,          3L, 6L, 7L, 6L, 4L, 5L, 5L, 3L, 3L, 4L, 5L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(6L, 6L, 4L, 6L, 5L, 5L, 6L, 8L,          6L, 7L, 6L, 9L, 9L, 7L, 7L, 7L, 8L, 8L, 9L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,          4L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 53.7144145580863,          84.7567210168185, 134.350453765465, 231.265682319107,          232.444515889979, 319.316913034809, 353.694845113235,          354.212323687926, 361.01877599255, 420.314277024511,          427.119342609113, 430.254731839367, 439.50394443019,          443.863991191502, 462.317555310546, 495.418202823373,          496.477452630144, 534.073189194312, 538.766467595909)), row.names = c("478",      "27", "620", "602", "543", "152", "368", "583", "139", "469",      "706", "195", "762", "163", "961", "452", "679", "578", "632",      "793"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.980219066754914,      0.951115677591406, 0.879499251353439, 0.665438529495005,      0.66236964598218, 0.42084886242546, 0.323784631962768, 0.322349989092648,      0.303587188760906, 0.15317726326071, 0.13802076461602, 0.131225352075383,      0.11191446594693, 0.103212738974162, 0.0695154679647016,      0.0238526917499263, 0.0227477415275494, 0.000300898512002869,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       791678819 
R squared (OOB):                  0.02263035 

$Forests[[479]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 325000, 428000,      420000, 333000, 3e+05, 330000, 355000, 395000, 425000, 308000,      431000, 395000, 426000, 410000, 315000, 360000, 365000, 365000,      370000), floor_area_sqm = c(99, 84, 90, 90, 103, 84, 103,      103, 90, 92, 84, 92, 92, 92, 92, 84, 103, 107, 103, 98),          storey_order = c(2L, 2L, 8L, 8L, 2L, 2L, 2L, 3L, 5L,          6L, 1L, 9L, 4L, 6L, 2L, 3L, 1L, 1L, 4L, 2L), remaining_lease_mths = c(796,          783, 1008, 1011, 788, 797, 800, 793, 1010, 1006, 795,          1010, 1010, 1012, 1004, 788, 777, 766, 768, 767), PROX_CBD = c(13.8977069202737,          14.1279251783367, 13.8412030491349, 13.8798013735997,          14.3532733654858, 14.3169519114025, 13.46147060752, 13.46147060752,          13.990153115514, 14.0603534116893, 13.3304860768802,          14.0603534116893, 14.0603534116893, 14.0324943086614,          14.000256381606, 13.0463978034086, 13.7231688188033,          13.578535689825, 12.6612960596841, 12.6407298816561),          PROX_ELDERLYCARE = c(1.56746404607568, 1.66641228888996,          1.74703283433278, 1.77270985488013, 1.6760601574403,          1.55261218152075, 1.01995663096129, 1.01995663096129,          1.56992496550613, 1.50084223071099, 0.85382998667073,          1.50084223071099, 1.50084223071099, 1.51384309451853,          1.50178268661881, 0.612412426395362, 0.681177733621966,          0.535215785060316, 0.349885373003571, 0.198383641986835         ), PROX_HAWKER = c(1.04237506554324, 1.24304803992561,          1.43519165592487, 1.47024255459416, 0.99569743308136,          1.19367588944735, 1.03983060555389, 1.03983060555389,          1.69002608854433, 1.69193386873811, 1.09459947163448,          1.69193386873811, 1.69193386873811, 1.73133481154049,          1.77005964815816, 1.36023111372333, 0.601426993813282,          0.775756145922257, 1.71720286170745, 1.70233840124208         ), PROX_MRT = c(0.300373388684648, 0.59155533687368,          0.462396576385451, 0.523014705157119, 0.756418829435307,          0.753004841751307, 0.367668143276235, 0.367668143276235,          0.789673249073619, 0.836549486170002, 0.525688124362732,          0.836549486170002, 0.836549486170002, 0.85175230125279,          0.865600228728207, 0.622051877914657, 0.498221170198522,          0.357978123578611, 0.798149237832703, 0.712674611555213         ), PROX_PARK = c(0.782220037546154, 1.00515750023779,          0.752068597068081, 0.782127938386311, 1.20426051281307,          1.00962818739137, 0.582693033366388, 0.582693033366388,          0.716145735764812, 0.66093693759156, 0.620743454357064,          0.66093693759156, 0.66093693759156, 0.65310707550057,          0.652876507033438, 0.572775970192077, 1.26781451063295,          1.33984402369384, 0.722272593032778, 0.87239282209614         ), PROX_GOOD_PRISCH = c(3.83525569342672, 4.09179045416031,          3.82728738248792, 3.87304276717541, 4.29145341198416,          4.27446656255715, 3.38131302543864, 3.38131302543864,          4.0269654833207, 4.09775909461572, 3.24954726475941,          4.09775909461572, 4.09775909461572, 4.07805978762992,          4.05408625233137, 2.96540091825049, 3.673854441535, 3.55013641033528,          2.58047246486208, 2.56532775368338), PROX_MALL = c(1.14150204308926,          1.48884664162065, 1.33339622609195, 1.33861894221302,          1.45738633765159, 1.50622914679999, 0.644549177151603,          0.644549177151603, 1.32125061115982, 1.38265334141638,          0.513372166694422, 1.38265334141638, 1.38265334141638,          1.34360210764349, 1.30130189944441, 0.587476612974174,          0.406890039239853, 0.305514521023982, 0.817237002784756,          0.751522975449472), PROX_CHAS = c(0.162936326565904,          0.283027750434604, 0.116038559859119, 0.058882652003164,          0.0428610630237518, 0.149961616171305, 0.348399033159575,          0.348399033159575, 0.231188025602735, 0.266609427013402,          0.472814153962233, 0.266609427013402, 0.266609427013402,          0.288579392766018, 0.313291309929199, 0.40513819943783,          0.176857487498571, 0.282171570268124, 0.248450831201433,          0.217156748290024), PROX_SUPERMARKET = c(0.162936951836525,          0.283027750434408, 0.116038559858059, 0.0588826520022197,          0.400567683079086, 0.277976240278344, 0.356146193343619,          0.356146193343619, 0.231188025603748, 0.266609427014493,          0.510727353781082, 0.266609427014493, 0.266609427014493,          0.288579392767071, 0.313291309930196, 0.599997973636583,          0.270532795629183, 0.281417393052806, 0.326739034058403,          0.217156859083098), WITHIN_350M_KINDERGARTEN = c(0L,          2L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L,          2L, 0L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(4L, 3L,          3L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 2L,          4L, 4L, 3L, 4L), WITHIN_350M_BUS = c(5L, 10L, 5L, 5L,          10L, 9L, 6L, 6L, 4L, 4L, 5L, 4L, 4L, 4L, 3L, 7L, 8L,          10L, 12L, 10L), WITHIN_1KM_PRISCH = c(3L, 2L, 3L, 2L,          2L, 2L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 4L, 3L, 4L,          3L, 3L), DNeighbour = c(0, 359.400474619325, 401.136327062928,          444.851915449464, 462.330083691716, 478.573618221914,          546.865899650245, 555.987279454259, 704.052435672117,          724.123202668499, 726.008915776277, 728.941453755019,          730.488719038526, 754.230004757465, 786.21066616778,          958.412041669539, 1018.56524489238, 1195.90520414186,          1320.56200330157, 1395.9764845171)), row.names = c("479",      "893", "678", "877", "697", "650", "526", "332", "276", "241",      "61", "55", "805", "675", "726", "987", "960", "856", "552",      "477"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.871827740802994,      0.841675887065674, 0.807214588645979, 0.792660411201331,      0.778756851186531, 0.716623816833678, 0.707910740969303,      0.555974652019096, 0.534255546350681, 0.532206204421532,      0.529016478345788, 0.527332213414709, 0.501389132237134,      0.466227331039008, 0.279465306746215, 0.218668728710637,      0.0708088334365256, 0.0110516929486105, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       505477366 
R squared (OOB):                  0.7318887 

$Forests[[480]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 350880, 385000,      388000, 315000, 410000, 421000, 670000, 338000, 425000, 7e+05,      392000, 540000, 415000, 463888, 323000, 348000, 475000, 309000,      350000), floor_area_sqm = c(91, 91, 104, 104, 91, 93, 93,      92, 93, 108, 92, 103, 92, 92, 95, 92, 93, 93, 91, 105), storey_order = c(4L,      2L, 4L, 3L, 1L, 4L, 4L, 5L, 5L, 3L, 4L, 2L, 6L, 2L, 1L, 2L,      4L, 4L, 2L, 1L), remaining_lease_mths = c(777, 785, 740,      751, 790, 788, 789, 1121, 860, 820, 1126, 833, 1142, 1130,      1140, 690, 777, 1130, 774, 837), PROX_CBD = c(10.4167519306418,      10.3813809316332, 10.2659136784881, 10.2659136784881, 10.6917699702976,      10.7402382849343, 10.8005053894847, 11.0595651330709, 9.71808261065178,      10.7884209511687, 11.1573644039326, 10.8307618753175, 11.3687765497058,      11.3687765497058, 11.4133195883395, 9.445702961959, 9.5834162789491,      11.4536743231806, 9.64616581570663, 10.9742090734032), PROX_ELDERLYCARE = c(0.852176862644424,      0.833489789321986, 0.737818764037149, 0.737818764037149,      1.07660186858624, 1.05196585123006, 1.11154389564577, 1.41694161867716,      0.288600487645686, 1.11323464510705, 1.34447435494956, 1.12487398858542,      1.27208236570677, 1.27208236570677, 1.61512702812623, 0.0646727834979237,      0.221128007339761, 1.19895989384568, 0.306199433665808, 0.852070403211021     ), PROX_HAWKER = c(1.55256346901264, 1.5910354083573, 1.65941342147148,      1.65941342147148, 1.35937058559257, 1.02652926791064, 0.918995125488027,      1.19495083476736, 1.10941781168001, 0.812377793689625, 1.10011050744246,      0.775872885593274, 1.07923254025891, 1.07923254025891, 1.4377955077332,      0.802499530175562, 0.844035637065003, 1.02903329925728, 0.906506968115566,      0.487483409830997), PROX_MRT = c(0.686459009674335, 0.699917284291438,      0.684374477874155, 0.684374477874155, 0.753106278920522,      0.546812793492647, 0.566932323762424, 0.991329354536752,      0.750225097750018, 0.526269526678983, 0.876646963171676,      0.568072215940967, 0.671331594421278, 0.671331594421278,      0.8250506195824, 0.834535111428891, 0.679762822214213, 0.573574303209013,      0.626377719466395, 0.534522073584246), PROX_PARK = c(0.613918856542286,      0.616002692100522, 0.570788416471153, 0.570788416471153,      0.536819237128991, 0.401614025373747, 0.370936327890873,      0.275833477585303, 0.552878075981585, 0.467051942358664,      0.189026691537682, 0.443949121553361, 0.294690087030438,      0.294690087030438, 0.60176146852012, 0.508498628446561, 0.171128410914521,      0.341254943367627, 0.106198450905693, 0.623434891123849),          PROX_GOOD_PRISCH = c(2.62113030487697, 2.6286340652406,          2.58742850928016, 2.58742850928016, 2.68318776685765,          2.39141973384207, 2.34700895725274, 2.8385375863655,          2.3197363622043, 2.2131785217075, 2.83177349547833, 2.22887532154294,          2.95589454100459, 2.95589454100459, 3.26097143466547,          2.16640973416033, 1.81796659730331, 2.96812409551872,          1.71137279935344, 2.09882394138718), PROX_MALL = c(0.350991485118426,          0.365493224544838, 0.364765391124967, 0.364765391124967,          0.459259689573629, 0.344610557976029, 0.363372953846058,          0.76911725394793, 0.64580888250568, 0.340751907865098,          0.831480717149744, 0.384053234723219, 0.814743407183115,          0.814743407183115, 0.979751787656279, 0.855253012280219,          0.812301361871699, 0.714729745574342, 0.808294932987377,          0.606835933426222), PROX_CHAS = c(0.302383860370021,          0.28517644723447, 0.204257711541377, 0.204257711541377,          0.0626028682349028, 0.106045676778667, 0.111289200730163,          0.0661119226245057, 0.122290728478786, 0.260152478655286,          0.0819321575559949, 0.2644107607892, 0.257507761616553,          0.257507761616553, 0.136218265087875, 0.378465676389041,          0.334146331647452, 0.31407050179696, 0.415210445937219,          0.20965056306942), PROX_SUPERMARKET = c(0.519095500550079,          0.49431722643315, 0.384238743245603, 0.384238743245603,          0.550262392018624, 0.357992185767737, 0.386863986973968,          0.444069124865739, 0.190117050177684, 0.363982132031921,          0.408274605358357, 0.407226974513028, 0.30094246041235,          0.30094246041235, 0.0830307595499944, 0.234896025437738,          0.581458245406798, 0.345653574215055, 0.675617328849562,          0.477398814511427), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 2L, 2L, 2L, 0L, 1L, 1L, 2L, 1L, 1L, 0L,          3L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 6L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 4L, 3L, 3L, 3L, 3L,          3L, 2L, 1L, 2L), WITHIN_350M_BUS = c(9L, 10L, 8L, 8L,          7L, 6L, 9L, 9L, 6L, 8L, 6L, 11L, 10L, 10L, 4L, 10L, 7L,          8L, 8L, 8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L,          5L, 5L, 3L, 2L, 6L, 3L, 6L, 3L, 3L, 1L, 2L, 4L, 4L, 4L,          6L), DNeighbour = c(0, 43.3963045134879, 152.038181676065,          155.565749786992, 272.895747701644, 524.54522824402,          625.203021416806, 648.476118637816, 711.211096439737,          750.985028687538, 753.98051267856, 779.903429929823,          963.955383211586, 970.110535406898, 1001.37599002482,          1012.23476755463, 1053.82305839471, 1055.46129568279,          1086.35151320593, 1088.62500213862)), row.names = c("480",      "626", "501", "77", "569", "6", "56", "407", "624", "696",      "425", "743", "876", "157", "303", "67", "799", "132", "785",      "239"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99682434233939,      0.961370201027532, 0.959575536908242, 0.878268661713847,      0.5895603056104, 0.449132539149959, 0.4162326964031, 0.328540182127746,      0.274692015049941, 0.270719083769188, 0.236930056542274,      0.0466238781616415, 0.0423868007522298, 0.0236755896199024,      0.0183381955284298, 0.00395835178364788, 0.00359995796636202,      1.74093122619249e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7266584751 
R squared (OOB):                  0.3659665 

$Forests[[481]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(303000, 350000, 330000,      303888, 298000, 297000, 325000, 272000, 320000, 344000, 326000,      3e+05, 375000, 318000, 316000, 305000, 350000, 279000, 370000,      355000), floor_area_sqm = c(92, 103, 103, 93, 93, 91, 91,      89, 84, 114, 100, 96, 92, 91, 92, 91, 104, 91, 93, 93), storey_order = c(1L,      4L, 2L, 2L, 1L, 3L, 4L, 2L, 1L, 2L, 2L, 4L, 4L, 1L, 3L, 4L,      3L, 2L, 5L, 3L), remaining_lease_mths = c(794, 768, 773,      782, 777, 788, 780, 882, 822, 909, 915, 791, 783, 765, 781,      791, 901, 801, 1106, 1111), PROX_CBD = c(18.2139172788048,      18.3186881593276, 18.4499801912104, 18.5252470382495, 18.5252470382495,      18.1476771148045, 18.1476771148045, 17.8554664137964, 17.6406634027014,      17.7896312466061, 17.6260899808187, 18.5761736305699, 18.1857629477019,      18.2234963781047, 18.2234963781047, 18.2610111258248, 17.7210097801066,      18.2989051402725, 18.8127816342995, 18.8127816342995), PROX_ELDERLYCARE = c(0.649170232100017,      0.586525817031338, 0.504778052376495, 0.449194476018676,      0.449194476018676, 0.519546459890619, 0.519546459890619,      0.800501761367975, 1.035266769267, 1.25681260125729, 1.35112026832555,      0.0638277150498875, 0.47723779098819, 0.448333702611612,      0.448333702611612, 0.421521882373529, 1.43994188754287, 0.397078044127006,      0.176499517448139, 0.176499517448139), PROX_HAWKER = c(0.488031980714328,      0.564283191409187, 0.652207052169444, 0.69553534809229, 0.69553534809229,      0.209390724873544, 0.209390724873544, 0.203123967436651,      0.425506106332545, 0.881066744107593, 0.881717267283345,      0.562029876499453, 0.380157991945912, 0.416527045274471,      0.416527045274471, 0.453171307776496, 1.08104793194974, 0.491047773869601,      0.325560722493799, 0.325560722493799), PROX_MRT = c(0.192826481399443,      0.220618943711049, 0.322534237265928, 0.398456142880405,      0.398456142880405, 0.491311596778589, 0.491311596778589,      0.555370291384357, 0.641227062746355, 0.459633808793419,      0.583976034009999, 0.874368880716004, 0.548087095608087,      0.545975779093886, 0.545975779093886, 0.547550551918807,      0.633809880192534, 0.552168886353884, 1.04083770509984, 1.04083770509984     ), PROX_PARK = c(0.532358306258428, 0.548488124002706, 0.536975621309476,      0.491317901173298, 0.491317901173298, 0.270911567278729,      0.270911567278729, 0.515057634059466, 0.74946287094318, 1.08767920112524,      1.13048326604805, 0.287868908027907, 0.261695126667213, 0.264257474455249,      0.264257474455249, 0.272660801967067, 1.21384923350496, 0.287159802467115,      0.51923222906617, 0.51923222906617), PROX_GOOD_PRISCH = c(9.33501569353139,      9.44179125712709, 9.56762880935522, 9.63394268044443, 9.63394268044443,      9.18618174729203, 9.18618174729203, 8.91472106998272, 8.7372089119322,      9.06437119601063, 8.8937984610311, 9.51590189269927, 9.10363750169146,      9.1355701416359, 9.1355701416359, 9.16752282736586, 9.06160802360773,      9.19982386356694, 9.7422556358987, 9.7422556358987), PROX_MALL = c(0.498813518897969,      0.574856358668165, 0.662291407978718, 0.705200807731176,      0.705200807731176, 0.218975149940797, 0.218975149940797,      0.208298160410803, 0.427942470585451, 0.889615709496153,      0.88883938803957, 0.624506085881379, 0.374195605351922, 0.411037179701155,      0.411037179701155, 0.448092738738542, 1.08939761229127, 0.486326630506135,      0.856774663098642, 0.856774663098642), PROX_CHAS = c(0.0363398547195702,      0.141159289664064, 0.201478871858691, 0.240425442805127,      0.240425442805127, 0.218975205360203, 0.218975205360203,      0.208298146952687, 0.23100298607827, 0.198210651063146, 0.292626833079875,      0.0792988689034794, 0.172021358032342, 0.132763801624598,      0.132763801624598, 0.0964740211655948, 0.398301228330107,      0.0660681856594747, 0.2593611752042, 0.2593611752042), PROX_SUPERMARKET = c(0.186956242757619,      0.210011389308567, 0.310351384739933, 0.386130046709882,      0.386130046709882, 0.206881250620068, 0.206881250620068,      0.19872598136169, 0.231004283416662, 0.347801992140281, 0.489184551662952,      0.625539331690589, 0.38486207983901, 0.421116980529575, 0.421116980529575,      0.457654559995222, 0.510818921359131, 0.490326509583637,      0.856773769273042, 0.856773769273042), WITHIN_350M_KINDERGARTEN = c(1L,      1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 3L, 3L, 0L, 0L, 0L, 0L, 0L,      3L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 4L, 2L, 1L,      1L, 3L, 3L, 5L, 6L, 4L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L,      1L), WITHIN_350M_BUS = c(9L, 10L, 9L, 8L, 8L, 7L, 7L, 10L,      8L, 7L, 6L, 10L, 4L, 6L, 6L, 6L, 5L, 6L, 16L, 16L), WITHIN_1KM_PRISCH = c(2L,      2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 4L, 4L, 4L, 4L,      2L, 4L, 1L, 1L), DNeighbour = c(0, 107.46599427384, 237.714167503649,      304.75108221226, 305.66460177729, 311.215558199369, 311.978719801344,      450.322902582325, 603.204045959965, 611.332955318947, 704.685207677707,      721.349769498237, 754.678960947862, 771.021247727035, 771.095939550981,      793.233621607162, 800.592089182497, 812.399493420395, 871.823456631981,      873.794299154121)), row.names = c("481", "367", "810", "106",      "11", "827", "944", "467", "730", "172", "612", "78", "733",      "47", "202", "905", "825", "433", "637", "418"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.96997682247252, 0.857457065440497, 0.771518411381745, 0.770235940023162,      0.762383927110025, 0.761296541767259, 0.539341935984853,      0.273998059893976, 0.26062808010675, 0.122229203209135, 0.101434732516768,      0.0645445848971934, 0.0490180555337676, 0.0489512777383395,      0.0309382069479255, 0.0257705048788244, 0.0183840589362942,      2.03032387444056e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       817540358 
R squared (OOB):                  -0.007962494 

$Forests[[482]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(347000, 320000, 380000,      420000, 370000, 325000, 335000, 680000, 660000, 390000, 365000,      735000, 3e+05, 380000, 350000, 388800, 333000, 562000, 540000,      4e+05), floor_area_sqm = c(90, 90, 92, 92, 84, 82, 83, 87,      87, 92, 83, 97, 92, 92, 92, 98, 89, 107, 107, 92), storey_order = c(5L,      2L, 2L, 5L, 3L, 4L, 3L, 6L, 3L, 1L, 1L, 6L, 2L, 4L, 4L, 2L,      1L, 7L, 6L, 4L), remaining_lease_mths = c(672, 672, 687,      694, 673, 666, 687, 1076, 1066, 685, 777, 1066, 691, 693,      688, 697, 692, 957, 969, 690), PROX_CBD = c(10.5036676165143,      10.5036676165143, 10.571248724537, 10.5902646894981, 10.6549850760698,      10.0782341562763, 10.5501175985891, 10.1126951054664, 10.1126951054664,      10.3184291669162, 11.0884508558618, 9.96973817000633, 10.7273754880637,      10.7273754880637, 10.7428660694501, 10.7178846249378, 10.7178846249378,      10.9472701195372, 11.0486323727393, 9.59976569988281), PROX_ELDERLYCARE = c(0.346712236264009,      0.346712236264009, 0.426373779355343, 0.476382036969741,      0.531453703929196, 0.248412112584261, 0.724362239545807,      0.511544492658224, 0.511544492658224, 0.724299376510179,      1.02650055154577, 0.560133969723593, 0.968089576161562, 0.968089576161562,      1.00386291289403, 0.903749132751209, 0.903749132751209, 0.867518349265545,      0.974567200018427, 0.239547661796275), PROX_HAWKER = c(0.255376275980047,      0.255376275980047, 0.155284554597335, 0.142004884371921,      0.345053577007401, 0.250435976222025, 0.496328097640832,      0.268370020499938, 0.268370020499938, 0.285348407142059,      0.698836827436486, 0.246219700947935, 0.259491073356982,      0.259491073356982, 0.19921426515349, 0.131164348467149, 0.131164348467149,      0.429153921265228, 0.436692566666558, 0.436761476721694),          PROX_MRT = c(0.908007357991278, 0.908007357991278, 0.822399768635659,          0.793335563342317, 0.849090589690401, 0.622308556906305,          0.92637591011884, 0.549740095282867, 0.549740095282867,          0.752281430413819, 0.761094255738083, 0.405168801785449,          0.880392787161762, 0.880392787161762, 0.911557541227745,          0.897030842789514, 0.897030842789514, 0.638393210693291,          0.741783227751877, 0.619962862184004), PROX_PARK = c(0.381418159266178,          0.381418159266178, 0.471129460807546, 0.57091664624863,          0.204920490916151, 0.627458410441261, 0.888350706343443,          0.878497256111703, 0.878497256111703, 1.05219739289641,          0.300475000526789, 0.868342722448078, 0.675703893946554,          0.675703893946554, 0.65460215425144, 0.68415716278098,          0.68415716278098, 0.730900012581548, 0.644279497097323,          0.957886982704992), PROX_GOOD_PRISCH = c(0.825686703361669,          0.825686703361669, 0.876989954992127, 0.962114901666907,          0.576127248022356, 1.26151864262594, 1.37609088117382,          1.46177539101005, 1.46177539101005, 1.54472866778257,          0.293049282005855, 1.55873028154778, 1.51964159199475,          1.51964159199475, 1.57772010642862, 1.69245386393467,          1.69245386393467, 1.50789829567152, 1.50173151878208,          2.35345437748376), PROX_MALL = c(0.873995522285645, 0.873995522285645,          0.872531493441133, 0.838333779631814, 1.12054305374088,          0.418279044459304, 0.693136328895784, 0.269774803261538,          0.269774803261538, 0.472532088410597, 1.6122764231009,          0.129560175686973, 0.885934538444454, 0.885934538444454,          0.913300066979642, 0.922177591154216, 0.922177591154216,          1.34630282297423, 1.41292867182356, 0.387669919047214         ), PROX_CHAS = c(0.217153936659979, 0.217153936659979,          0.109732367463933, 0.0950095589968322, 0.290835710912963,          0.186550674976261, 0.120595382532287, 0.20472250196774,          0.20472250196774, 0.165961529218061, 0.206694589078668,          0.0647243745052949, 0.161497017697243, 0.161497017697243,          0.184868017131885, 0.141741960002869, 0.141741960002869,          0.344403926608958, 0.375455350402476, 0.263208245292117         ), PROX_SUPERMARKET = c(0.291549431934698, 0.291549431934698,          0.199099262156692, 0.190547463602814, 0.292451786949051,          0.255147915067147, 0.448117335537485, 0.35798039621586,          0.35798039621586, 0.447507928623339, 0.293331714819264,          0.241122798862169, 0.294310303883692, 0.294310303883692,          0.247977273863763, 0.141741503991008, 0.141741503991008,          0.381194313170787, 0.408205375796458, 0.44091986097032         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 1L, 1L,          2L, 1L, 1L, 1L, 1L, 0L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L, 2L, 1L, 5L,          2L, 6L, 6L, 4L, 3L, 6L, 3L, 3L, 3L, 4L, 4L, 0L, 0L, 4L         ), WITHIN_350M_BUS = c(6L, 6L, 5L, 6L, 7L, 5L, 6L, 6L,          6L, 7L, 8L, 7L, 4L, 4L, 5L, 6L, 6L, 2L, 2L, 11L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 2L, 2L, 2L, 5L, 3L, 3L, 5L, 1L, 2L, 5L, 5L, 5L,          5L, 5L, 4L, 3L, 3L), DNeighbour = c(0, 6.65712046618884,          111.386778195307, 206.694575441028, 257.281837336526,          482.826263420436, 601.265545764965, 633.147976188685,          634.415445977996, 724.576942652918, 745.738920198025,          747.855045671442, 806.07295608212, 810.791054637732,          872.212230156806, 969.398169487321, 977.989576678629,          1497.37484497967, 1500.45570900717, 1532.2389260644)), row.names = c("482",      "940", "210", "701", "728", "84", "778", "316", "506", "97",      "98", "471", "648", "651", "43", "429", "914", "255", "630",      "964"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999962247497409,      0.989458674179929, 0.96393668813051, 0.944405819134472, 0.811268916905415,      0.715740638351733, 0.68765768095113, 0.686523215572835, 0.602761591674239,      0.582358592460816, 0.580305715211232, 0.523083105928582,      0.518393609602859, 0.456929246716851, 0.359677878291175,      0.351180935955945, 0.00202406760108864, 0.00168557122471469,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3711175608 
R squared (OOB):                  0.7842346 

$Forests[[483]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 415000, 450000,      448000, 420000, 405000, 393000, 455000, 430000, 405000, 410000,      360000, 430000, 380000, 380000, 362500, 367000, 412000, 495000,      425000), floor_area_sqm = c(106, 103, 106, 116, 112, 105,      103, 113, 104, 104, 106, 84, 107, 106, 107, 103, 104, 104,      93, 104), storey_order = c(2L, 3L, 4L, 3L, 4L, 3L, 2L, 5L,      2L, 2L, 2L, 3L, 4L, 1L, 2L, 3L, 1L, 2L, 2L, 3L), remaining_lease_mths = c(834,      834, 834, 827, 866, 856, 818, 824, 861, 862, 871, 811, 868,      887, 871, 819, 879, 878, 1131, 871), PROX_CBD = c(15.1256206124729,      15.1256206124729, 15.1256206124729, 15.1039483662242, 15.3605597168545,      15.3605597168545, 14.8805910833212, 14.8805910833212, 15.4019609662575,      15.4019609662575, 15.428944563277, 14.7472020389823, 15.2985874116244,      15.0291078847704, 15.2330821453909, 14.3801998083441, 14.66420827852,      14.1313829663274, 14.1234549986629, 14.0236082538335), PROX_ELDERLYCARE = c(1.5866097118695,      1.5866097118695, 1.5866097118695, 1.55233595008815, 1.7630974884403,      1.7630974884403, 1.53481387371296, 1.53481387371296, 1.7026350967472,      1.7026350967472, 1.63977306379889, 1.19052284520552, 1.41400995500373,      1.09928331705025, 1.22808745848404, 0.709377020411434, 0.719957479461771,      0.836104821253693, 1.35242241046818, 1.09340394122649), PROX_HAWKER = c(0.674198133913936,      0.674198133913936, 0.674198133913936, 0.672854909342646,      0.874437271649647, 0.874437271649647, 0.395563323563994,      0.395563323563994, 0.985391408166863, 0.985391408166863,      1.09717995764468, 0.606039227085063, 1.16406043263713, 1.15922930524208,      1.40985252978436, 0.928921275219278, 1.17971772396452, 0.73352935155883,      0.458626901673037, 0.594999289424802), PROX_MRT = c(0.930587839854138,      0.930587839854138, 0.930587839854138, 0.927742831261867,      1.13238128237287, 1.13238128237287, 0.650195396152393, 0.650195396152393,      1.24252861976923, 1.24252861976923, 1.35104476777798, 0.807097621625513,      1.40304810962874, 1.36685465541241, 1.62235809597188, 1.02650412956774,      1.12495588646837, 0.735653331318593, 0.250036690549804, 0.469886084443941     ), PROX_PARK = c(0.625625874274951, 0.625625874274951, 0.625625874274951,      0.613453702116727, 0.852232892319188, 0.852232892319188,      0.355836862982211, 0.355836862982211, 0.934356673366442,      0.934356673366442, 1.02148060415503, 0.432698189125414, 0.98341166564854,      0.808345234949979, 0.633472210001671, 0.71485218383349, 0.823954351824118,      0.463826523913091, 0.469588575534173, 0.504422356794811),          PROX_GOOD_PRISCH = c(3.54140201350838, 3.54140201350838,          3.54140201350838, 3.51513652285447, 3.77322944876988,          3.77322944876988, 3.33079371618761, 3.33079371618761,          3.78947597459801, 3.78947597459801, 3.79601078940401,          3.13467644284063, 3.64472604970499, 3.36640767040689,          3.56691345353299, 2.72778429145315, 2.99834463762659,          2.52734391167264, 2.69456588548322, 2.51794344218072),          PROX_MALL = c(0.445444903624544, 0.445444903624544, 0.445444903624544,          0.472438990852491, 0.502295694435402, 0.502295694435402,          0.390496575840073, 0.390496575840073, 0.656741946143406,          0.656741946143406, 0.809004632748584, 0.738705771798207,          0.597111778941966, 0.486526360127578, 0.253259472709144,          0.949257633150117, 0.669111824361406, 0.66282583229379,          0.232476208076891, 0.418819234777705), PROX_CHAS = c(0.387886097439527,          0.387886097439527, 0.387886097439527, 0.353464796953762,          0.563239471741591, 0.563239471741591, 0.448788349522024,          0.448788349522024, 0.478794864158343, 0.478794864158343,          0.352996738297868, 0.19051372613691, 0.0911939042613644,          0.228652490110126, 0.210576528602503, 0.453083161817035,          0.38494516455544, 0.528800676490504, 0.147334233235439,          0.151261605672147), PROX_SUPERMARKET = c(0.411626017932148,          0.411626017932148, 0.411626017932148, 0.429218479578941,          0.187279197917694, 0.187279197917694, 0.447693008221967,          0.447693008221967, 0.1489144838969, 0.1489144838969,          0.252078878715955, 0.326764101800336, 0.408284988301129,          0.234691730121176, 0.21397076195142, 0.513065398645433,          0.384052647553184, 0.528799775767506, 0.147334782275979,          0.151260689076964), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 0L, 0L, 2L, 2L, 0L, 0L, 0L, 3L, 2L, 2L, 3L,          0L, 1L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 1L, 3L, 3L, 3L,          3L, 3L, 4L, 4L), WITHIN_350M_BUS = c(6L, 6L, 6L, 7L,          10L, 10L, 5L, 5L, 9L, 9L, 11L, 9L, 13L, 8L, 12L, 2L,          7L, 6L, 13L, 12L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          2L, 1L, 2L), DNeighbour = c(0, 2.20906987590679, 10.2816691732344,          40.6982873795268, 229.484249487106, 234.138262984442,          282.339904016447, 289.377094738412, 306.117852347635,          313.530287752684, 425.615264720993, 428.273064592445,          551.224817340608, 694.825019171075, 875.318689267005,          918.117879361893, 927.844186565077, 1017.4964641679,          1097.67728965434, 1125.72779896577)), row.names = c("483",      "233", "457", "188", "782", "994", "639", "852", "495", "406",      "899", "136", "934", "314", "428", "3", "686", "695", "212",      "51"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99999229839422,      0.999833170690921, 0.997387648744123, 0.918613938626072,      0.915353050072188, 0.878149054037412, 0.872208985383158,      0.857577320412186, 0.850877622537006, 0.734544039994872,      0.731477550256268, 0.577953094895242, 0.383205377555786,      0.15634393615774, 0.112113739765086, 0.102826714353593, 0.0335048517320681,      0.00242206129529221, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1228131454 
R squared (OOB):                  -0.04419219 

$Forests[[484]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(255000, 270000, 250000,      275000, 265000, 245000, 359900, 355000, 370000, 298000, 303888,      3e+05, 330000, 350000, 303000, 297000, 325000, 279000, 305000,      316000), floor_area_sqm = c(91, 97, 97, 98, 91, 88, 93, 93,      93, 93, 93, 96, 103, 103, 92, 91, 91, 91, 91, 92), storey_order = c(4L,      2L, 4L, 4L, 2L, 2L, 3L, 3L, 5L, 1L, 2L, 4L, 2L, 4L, 1L, 3L,      4L, 2L, 4L, 3L), remaining_lease_mths = c(686, 687, 708,      689, 724, 668, 1117, 1111, 1106, 777, 782, 791, 773, 768,      794, 788, 780, 801, 791, 781), PROX_CBD = c(19.1428796063974,      19.1998859465191, 19.2477081153014, 19.3611499271018, 19.4237844042343,      18.8842060529579, 18.8127816342995, 18.8127816342995, 18.8127816342995,      18.5252470382495, 18.5252470382495, 18.5761736305699, 18.4499801912104,      18.3186881593276, 18.2139172788048, 18.1476771148045, 18.1476771148045,      18.2989051402725, 18.2610111258248, 18.2234963781047), PROX_ELDERLYCARE = c(0.457204003422965,      0.482976337773198, 0.533620939869422, 0.67405856369397, 0.695760303539868,      0.229103995883471, 0.176499517448139, 0.176499517448139,      0.176499517448139, 0.449194476018676, 0.449194476018676,      0.0638277150498875, 0.504778052376495, 0.586525817031338,      0.649170232100017, 0.519546459890619, 0.519546459890619,      0.397078044127006, 0.421521882373529, 0.448333702611612),          PROX_HAWKER = c(0.491246203286744, 0.407382567332432,          0.435575948420033, 0.578426076793613, 0.430278742731878,          0.280513302960552, 0.325560722493799, 0.325560722493799,          0.325560722493799, 0.69553534809229, 0.69553534809229,          0.562029876499453, 0.652207052169444, 0.564283191409187,          0.488031980714328, 0.209390724873544, 0.209390724873544,          0.491047773869601, 0.453171307776496, 0.416527045274471         ), PROX_MRT = c(1.0490560030484, 1.13705578024219, 1.17336842789895,          1.24242318119045, 1.37619150821735, 1.03601464731326,          1.04083770509984, 1.04083770509984, 1.04083770509984,          0.398456142880405, 0.398456142880405, 0.874368880716004,          0.322534237265928, 0.220618943711049, 0.192826481399443,          0.491311596778589, 0.491311596778589, 0.552168886353884,          0.547550551918807, 0.545975779093886), PROX_PARK = c(0.602588748705797,          0.708199402424467, 0.715290586226954, 0.694921724836528,          0.899998771522662, 0.579556587207627, 0.51923222906617,          0.51923222906617, 0.51923222906617, 0.491317901173298,          0.491317901173298, 0.287868908027907, 0.536975621309476,          0.548488124002706, 0.532358306258428, 0.270911567278729,          0.270911567278729, 0.287159802467115, 0.272660801967067,          0.264257474455249), PROX_GOOD_PRISCH = c(10.1724586401982,          10.205087741046, 10.2559210914134, 10.393420977377, 10.4013344251086,          9.83133063879426, 9.7422556358987, 9.7422556358987, 9.7422556358987,          9.63394268044443, 9.63394268044443, 9.51590189269927,          9.56762880935522, 9.44179125712709, 9.33501569353139,          9.18618174729203, 9.18618174729203, 9.19982386356694,          9.16752282736586, 9.1355701416359), PROX_MALL = c(1.19002137667581,          1.23204265332191, 1.28177138580973, 1.41164243574585,          1.44800971701603, 0.91348864249693, 0.856774663098642,          0.856774663098642, 0.856774663098642, 0.705200807731176,          0.705200807731176, 0.624506085881379, 0.662291407978718,          0.574856358668165, 0.498813518897969, 0.218975149940797,          0.218975149940797, 0.486326630506135, 0.448092738738542,          0.411037179701155), PROX_CHAS = c(0.472048134528426,          0.377747950290313, 0.34509608786971, 0.346579909600863,          0.141128343720225, 0.241229981070425, 0.2593611752042,          0.2593611752042, 0.2593611752042, 0.240425442805127,          0.240425442805127, 0.0792988689034794, 0.201478871858691,          0.141159289664064, 0.0363398547195702, 0.218975205360203,          0.218975205360203, 0.0660681856594747, 0.0964740211655948,          0.132763801624598), PROX_SUPERMARKET = c(1.03656246660954,          1.12464344461301, 1.16090501353567, 1.22987785443232,          1.36375821567757, 0.911876453557648, 0.856773769273042,          0.856773769273042, 0.856773769273042, 0.386130046709882,          0.386130046709882, 0.625539331690589, 0.310351384739933,          0.210011389308567, 0.186956242757619, 0.206881250620068,          0.206881250620068, 0.490326509583637, 0.457654559995222,          0.421116980529575), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 4L, 5L, 3L,          3L, 2L, 2L, 2L), WITHIN_350M_BUS = c(6L, 10L, 9L, 8L,          6L, 13L, 16L, 16L, 16L, 8L, 8L, 10L, 9L, 10L, 9L, 7L,          7L, 6L, 6L, 6L), WITHIN_1KM_PRISCH = c(1L, 1L, 0L, 0L,          0L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 4L,          4L, 4L), DNeighbour = c(0, 105.180764953902, 125.993044801381,          222.802989131392, 332.510496141927, 445.23365505489,          552.121292885131, 555.208610863009, 559.556301870004,          654.102136311604, 656.333274211526, 710.981867890753,          728.777769186852, 852.976956094973, 949.218491789665,          1001.64124525132, 1007.27440429225, 1047.11987545249,          1068.99346874583, 1087.75435140762)), row.names = c("484",      "193", "981", "972", "2", "96", "604", "418", "637", "11",      "106", "78", "810", "367", "481", "827", "944", "433", "905",      "202"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.981387448923685,      0.973347474927246, 0.917850843589158, 0.821844702371026,      0.692992348909134, 0.55110361602764, 0.546822101884656, 0.540780824043039,      0.407553438775283, 0.40440452094428, 0.32807262825409, 0.303735170190404,      0.148292800466603, 0.0568815691709682, 0.0231236582712334,      0.0203063573272459, 0.00537539765797595, 0.0011694507930497,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       578816220 
R squared (OOB):                  0.5844199 

$Forests[[485]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 340000, 330000,      355000, 405000, 418888, 408000, 330000, 389000, 373000, 376000,      325000, 390000, 515000, 398000, 360000, 333000, 330000, 375000,      369000), floor_area_sqm = c(84, 91, 91, 91, 102, 100, 100,      84, 103, 103, 101, 84, 101, 105, 100, 104, 84, 84, 90, 94     ), storey_order = c(2L, 1L, 4L, 3L, 3L, 2L, 5L, 4L, 2L, 1L,      2L, 5L, 4L, 2L, 2L, 2L, 3L, 3L, 5L, 5L), remaining_lease_mths = c(791,      786, 777, 763, 928, 932, 916, 806, 863, 870, 948, 812, 932,      762, 924, 804, 823, 791, 946, 942), PROX_CBD = c(9.13853516155078,      9.37335060635629, 9.37335060635629, 9.41668106440496, 9.51108523911647,      9.64941173000682, 9.71665400465424, 9.63621863936401, 9.90721965789512,      9.95029435977204, 10.1515839247586, 9.87023127008802, 10.247812625002,      7.9455961592131, 10.2027088676681, 10.0879656312395, 9.85122377146013,      9.73525531751342, 10.5038890156487, 10.5038890156487), PROX_ELDERLYCARE = c(1.86142420062345,      1.66235796621519, 1.66235796621519, 1.6892356184521, 1.80905665624389,      1.9510043332774, 1.86385802759073, 1.48805339077067, 2.17440400131014,      2.09611483432966, 1.93850967877536, 1.35138892750767, 1.89270432318243,      1.77517839654503, 1.63738856945076, 1.31022889057949, 0.999223533815273,      0.869795033999967, 1.64894906385774, 1.64894906385774), PROX_HAWKER = c(0.823671555860494,      0.823170476035045, 0.823170476035045, 0.864780296064508,      0.978663880778012, 0.940071074791988, 1.14805608329678, 0.677896697868769,      1.08766938871094, 0.876506442172381, 0.608980172673109, 0.410023469086153,      0.561647681218514, 0.800389309546525, 0.264427923442986,      0.196699811405185, 0.526313717816828, 0.687117415591119,      0.53455823354733, 0.53455823354733), PROX_MRT = c(1.58022074581844,      2.01327082024864, 2.01327082024864, 2.02952953118228, 1.99882067476962,      1.69853939108909, 2.10187463598542, 1.32502198166586, 1.9078610258369,      1.8917195123599, 1.73271025710532, 1.23646610314009, 1.63637339364314,      0.75069701440163, 1.392302848886, 1.09046737609619, 0.907717901248049,      0.86810604264512, 1.36742764633517, 1.36742764633517), PROX_PARK = c(0.533109662164166,      0.548771819269344, 0.548771819269344, 0.564264159971047,      0.674672834209049, 0.624691995850973, 0.706984478917025,      0.202594030185392, 0.551504280527303, 0.516721166595223,      0.464183104254495, 0.375073916060521, 0.443665461164749,      0.364839433462782, 0.728383914708498, 0.604882226694947,      0.510337594738446, 0.452373350223662, 0.486479545769779,      0.486479545769779), PROX_GOOD_PRISCH = c(0.605615063995802,      0.581790960048334, 0.581790960048334, 0.555662252109323,      0.439174603441127, 0.107363170703005, 0.494123442243702,      0.53169554186008, 0.299143542468678, 0.213708578130609, 0.447003801568155,      0.706117631385061, 0.550324531917386, 1.79538098544694, 0.689163418131917,      0.87937610392538, 1.05242409875061, 1.15234422615158, 0.819356328881161,      0.819356328881161), PROX_MALL = c(0.925377142856182, 0.835862391091354,      0.835862391091354, 0.873946799305891, 0.994410311642026,      0.625847194134012, 1.00609620967541, 0.564979440463645, 0.701652802220213,      0.493813340134231, 0.217974225134877, 0.445899708163642,      0.190941194230935, 0.730136421618933, 0.12742430838485, 0.441232897113797,      0.756051767526383, 0.907839978504126, 0.3366209001709, 0.3366209001709     ), PROX_CHAS = c(0.179557542480515, 0.240374554675797, 0.240374554675797,      0.248119447519373, 0.21913048386411, 0.134178633248207, 0.0862664572880411,      0.204909081807225, 0.242250716663617, 0.36937911638564, 0.217974279370684,      0.0764125853219005, 0.190941257524933, 0.312128892467037,      0.127424254451578, 0.177420148260447, 3.39583191183935e-08,      0.116614388177292, 0.232134688144963, 0.232134688144963),          PROX_SUPERMARKET = c(0.223142170833011, 0.322141005481158,          0.322141005481158, 0.315469124538892, 0.21913043091083,          0.344381560072065, 0.0862669641327853, 0.145410708854306,          0.157554225694085, 0.359694409353041, 0.216455869736569,          0.158655939798418, 0.19229406714866, 0.390939423908347,          0.129189539659537, 0.320748009942088, 0.350225948243757,          0.458729641056945, 0.232133828519976, 0.232133828519976         ), WITHIN_350M_KINDERGARTEN = c(2L, 0L, 0L, 1L, 2L, 3L,          1L, 1L, 2L, 2L, 1L, 1L, 3L, 1L, 0L, 0L, 0L, 0L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 2L, 2L, 4L, 3L,          8L, 3L, 6L, 7L, 9L, 5L, 10L, 4L, 6L, 5L, 3L, 2L, 5L,          5L), WITHIN_350M_BUS = c(11L, 5L, 5L, 6L, 7L, 8L, 8L,          7L, 10L, 12L, 10L, 8L, 10L, 7L, 13L, 11L, 10L, 10L, 11L,          11L), WITHIN_1KM_PRISCH = c(2L, 1L, 1L, 1L, 1L, 3L, 1L,          3L, 2L, 3L, 4L, 5L, 4L, 3L, 4L, 5L, 4L, 4L, 4L, 4L),          DNeighbour = c(0, 438.459180690399, 438.514801755691,          465.275991701527, 482.580311049351, 524.095437407673,          706.239993569594, 755.859701570303, 784.265172158415,          807.581631729213, 1041.97773231421, 1042.99887439709,          1141.9480117957, 1201.4968060235, 1204.54357722367, 1277.8032041686,          1293.63482168373, 1323.4209231907, 1409.73210866511,          1412.10343697039)), row.names = c("485", "737", "334",      "725", "719", "459", "879", "189", "629", "780", "366", "755",      "667", "345", "771", "292", "129", "921", "942", "734"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.816473591086901, 0.816429384378434, 0.794657058909455,      0.780059657352555, 0.74347717922584, 0.562299996824719, 0.509058962805003,      0.478233481367469, 0.452835662854893, 0.207496272885604,      0.206524689219602, 0.119734865098827, 0.0762002445348136,      0.0741841247877809, 0.0328217629868638, 0.0258411685814716,      0.0148010021927838, 1.12610977908286e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1496997655 
R squared (OOB):                  0.2552914 

$Forests[[486]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(376000, 475000, 495000,      540000, 433000, 510000, 505000, 420000, 380000, 452000, 490000,      450000, 540000, 5e+05, 580000, 348000, 403500, 548888, 372500,      520000), floor_area_sqm = c(102, 90, 93, 93, 92, 93, 90,      93, 92, 95, 92, 95, 90, 92, 92, 100, 90, 92, 102, 92), storey_order = c(5L,      5L, 3L, 4L, 4L, 3L, 6L, 2L, 1L, 4L, 3L, 2L, 3L, 3L, 4L, 3L,      5L, 2L, 2L, 1L), remaining_lease_mths = c(944, 1031, 1076,      1075, 1084, 1076, 1033, 1099, 1037, 1112, 1038, 1109, 1067,      1049, 1134, 938, 965, 1130, 931, 1138), PROX_CBD = c(11.9885535057438,      11.780035597066, 11.7824349405223, 11.8019303594103, 11.8702915361943,      11.734228152501, 11.6571985599938, 11.8999896789117, 11.6419253241709,      12.1424265739316, 11.6213283462416, 12.0901026943072, 11.5237533038112,      11.4975151935682, 11.7494815193957, 11.8646943012694, 12.0682850666201,      11.7494815193957, 11.9627383543319, 11.6952918230505), PROX_ELDERLYCARE = c(0.468647269590137,      0.389019901488026, 0.213047345375207, 0.184707688528033,      0.670900780040593, 0.217445500321488, 0.400746835300904,      0.790393757138983, 0.626216066088841, 0.88680281476439, 0.621923465733728,      0.911165280518988, 0.374021376468387, 0.485429735975203,      0.0736890817471424, 0.893707553155367, 0.36227142211874,      0.0736890817471424, 0.96089261866182, 0.0818897866131208),          PROX_HAWKER = c(0.661637750611862, 0.475091880549249,          0.411134055372247, 0.425288384889406, 0.715369360111721,          0.366555491930585, 0.38372613736418, 0.820501997631561,          0.553081930127745, 0.999275592501037, 0.537052085835962,          0.995330006841388, 0.235307086042243, 0.320302217757218,          0.418792449609449, 0.888626336009462, 0.732401821736703,          0.418792449609449, 0.983415578941634, 0.374319678668878         ), PROX_MRT = c(0.253577460439113, 0.149757666469573,          0.323171872402698, 0.341923672362566, 0.146531371307633,          0.276453864170284, 0.187661086924798, 0.261250382411254,          0.168432978085695, 0.303530488733859, 0.182944945438028,          0.231980634651484, 0.148196296616071, 0.24936700359253,          0.183595482094196, 0.214047355776769, 0.353072027979069,          0.183595482094196, 0.122900516984256, 0.18359152527436         ), PROX_PARK = c(0.965214735166117, 0.915827670442916,          1.04913519120928, 1.09015045463689, 0.8322137924942,          1.00928973198994, 0.822874314333037, 0.813614799778521,          0.654970873229416, 0.699596772952975, 0.643411448820926,          0.750469455971567, 0.808531626238996, 0.698336840868775,          1.25382465781663, 0.747986195716587, 1.2554933111164,          1.25382465781663, 0.836149627657164, 1.23082333360032         ), PROX_GOOD_PRISCH = c(2.84793008582659, 2.67648686403773,          2.5757070458522, 2.57167610218627, 2.91053685401804,          2.54247396470066, 2.58492752090912, 3.00567179865442,          2.71543842399088, 3.20088339163048, 2.69528593883292,          3.19167768034691, 2.43173748992112, 2.48345794754568,          2.40225451049103, 3.05097986431403, 2.66094910730305,          2.40225451049103, 3.15511978010431, 2.35260315569007),          PROX_MALL = c(0.581599658792334, 0.657761426948524, 0.732391369928616,          0.70263709534569, 0.385092319171944, 0.781937846313192,          0.718523422751835, 0.283076960540796, 0.576398809288588,          0.171446483339376, 0.597386337892971, 0.1200910408013,          0.840908486660855, 0.805279144871904, 0.730910693989521,          0.265637621954407, 0.424043071559413, 0.730910693989521,          0.161680393170103, 0.785373664552542), PROX_CHAS = c(0.0548782345589675,          0.165734916528407, 0.182294192745256, 0.144895120017984,          0.179381733260264, 0.203102352137365, 0.162236141473446,          0.283076936045466, 0.118628580179885, 0.171446425970546,          0.130352204164602, 0.120090990225825, 0.0822817354855642,          0.18789773503711, 0.105514964386053, 0.265637621677666,          0.0850792531740411, 0.105514964386053, 0.161680400961643,          0.141926234339659), PROX_SUPERMARKET = c(0.41771106664497,          0.328761363845442, 0.186528474083994, 0.149354766345577,          0.31749021679057, 0.206717744357565, 0.248678179468178,          0.236972988988714, 0.0879874709963817, 0.178201527122821,          0.0679201472407272, 0.109512866312649, 0.113409172087645,          0.186124684843571, 0.100761764224213, 0.211091622880127,          0.0850782630125017, 0.100761764224213, 0.107037284539066,          0.137537075296593), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 9L,          8L, 7L, 9L, 8L, 8L, 7L, 6L, 7L, 6L, 8L, 4L, 4L, 5L, 7L,          5L, 5L, 8L, 4L), WITHIN_350M_BUS = c(14L, 8L, 11L, 13L,          10L, 10L, 9L, 9L, 8L, 9L, 8L, 8L, 5L, 8L, 14L, 8L, 12L,          14L, 9L, 13L), WITHIN_1KM_PRISCH = c(7L, 6L, 7L, 6L,          5L, 5L, 5L, 5L, 5L, 5L, 6L, 4L, 4L, 4L, 6L, 5L, 7L, 6L,          4L, 6L), DNeighbour = c(0, 217.585613206748, 278.173687949158,          292.022147958711, 295.382723352074, 315.892641800912,          335.089043722262, 397.240305516301, 420.279512960673,          424.296764264156, 437.227419359576, 458.224202699091,          474.194789482933, 502.788907578187, 518.256151245897,          521.539429267586, 524.233365983822, 527.008310081123,          552.61975539927, 554.7977141345)), row.names = c("486",      "263", "260", "342", "110", "409", "977", "185", "421", "147",      "89", "117", "652", "553", "281", "232", "860", "808", "295",      "917"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.716033647420625,      0.560404129138961, 0.522652919245775, 0.513421086297905,      0.456708986620374, 0.403482987793132, 0.237491237755443,      0.181593992627085, 0.172320876959198, 0.143582632887421,      0.101021793906538, 0.0726084841804724, 0.0319335367646569,      0.0162285093855319, 0.0135256361638939, 0.0114804664074288,      0.00953934609775044, 6.14021223343022e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1971249943 
R squared (OOB):                  0.5622163 

$Forests[[487]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(465000, 350000, 418000,      4e+05, 650000, 418000, 380000, 388000, 385000, 390000, 377000,      350888, 360000, 380000, 4e+05, 380000, 352000, 655000, 410000,      640000), floor_area_sqm = c(104, 91, 91, 92, 104, 92, 92,      98, 91, 92, 98, 93, 83, 92, 98, 93, 84, 87, 103, 87), storey_order = c(3L,      4L, 5L, 4L, 3L, 4L, 4L, 2L, 1L, 1L, 3L, 3L, 3L, 1L, 4L, 3L,      2L, 1L, 2L, 4L), remaining_lease_mths = c(760, 741, 774,      690, 815, 691, 695, 728, 715, 711, 735, 712, 803, 767, 718,      724, 800, 1123, 799, 1121), PROX_CBD = c(8.64488888098128,      8.70456515841861, 9.35032791665702, 9.59976569988281, 7.71625132507906,      9.61422948612377, 9.61422948612377, 8.19895861369783, 8.8262745849674,      9.71066487891121, 8.07728506382532, 9.68679892421183, 8.52567265657093,      8.01258306529517, 9.5915755681771, 9.50206510185676, 8.28689365911172,      9.39818328429371, 8.31972436488376, 9.42381765287156), PROX_ELDERLYCARE = c(0.17844978767297,      0.1203423949077, 0.227789996497476, 0.239547661796275, 1.13999552495818,      0.28812103687201, 0.28812103687201, 1.1658248464307, 0.896855030989675,      0.385358274245319, 1.22552837794249, 0.35495808488012, 1.23693676843424,      1.38923408288603, 0.558000418748021, 0.619429799229152, 1.3668692597991,      0.718190414835305, 1.3912791419992, 0.750155484045513), PROX_HAWKER = c(0.917919654697093,      0.867862446497739, 0.508896406641727, 0.436761476721694,      0.888477780938884, 0.398658919868918, 0.398658919868918,      0.391405491562813, 0.311054993693233, 0.39402887106119, 0.503102516785602,      0.221606053969191, 0.0724679807682574, 0.532883444787396,      0.434568479089541, 0.518318645141504, 0.269406334629514,      0.640059738279374, 0.252588085280054, 0.667492197519696),          PROX_MRT = c(0.91698472228942, 0.97670571404933, 0.569946398217962,          0.619962862184004, 0.227897729387739, 0.667432439829923,          0.667432439829923, 0.707144761815547, 0.17731989795878,          0.746020760246364, 0.711885268750489, 0.760373725070279,          0.510058766918036, 0.57194553577364, 0.656590823238566,          0.533910829474844, 0.467794692056616, 0.401734036242065,          0.44379796826936, 0.423547456258288), PROX_PARK = c(0.238119977580318,          0.288616932786395, 0.726258134328713, 0.957886982704992,          0.374132090410645, 0.922231693079911, 0.922231693079911,          0.372450573927522, 0.458605630557841, 0.914740437498633,          0.413960848298732, 0.664893225436512, 0.557643312318536,          0.580004121625521, 0.355705093322714, 0.26219477257436,          0.570592214216024, 0.220484561261844, 0.59965919275643,          0.258916726718906), PROX_GOOD_PRISCH = c(2.37381492496372,          2.418607930925, 2.41566392235711, 2.35345437748376, 1.93537396204111,          2.38715383730665, 2.38715383730665, 2.73491137460549,          2.8424495793979, 2.31351362539819, 2.66084492380109,          2.17803171840573, 3.13534109620979, 2.75227504535898,          2.11809049366399, 2.18628235132699, 2.99359805566516,          2.27458198186913, 3.04207330950824, 2.24680049319454),          PROX_MALL = c(1.00281364182829, 0.948870628363287, 0.406203001531397,          0.387669919047214, 1.9342939090943, 0.43353114329251,          0.43353114329251, 1.94983703099632, 1.64561868645684,          0.505770857705003, 2.0316459728171, 0.796976758090547,          1.96281231550532, 2.11322307221905, 1.22478662403239,          1.32833110917602, 2.09618768409308, 1.45650167595406,          2.10790194839897, 1.48330987402926), PROX_CHAS = c(0.256340531367836,          0.27140983829104, 0.146235674893272, 0.263208245292117,          0.147762521806201, 0.28666502826278, 0.28666502826278,          0.293834776478611, 0.221229860630612, 0.255589678637005,          0.279534674537085, 0.0707228333244178, 0.169369143123463,          0.1333322783253, 0.346218272658546, 0.219477506246216,          0.229330661012247, 0.109789289200213, 0.261198443001062,          0.0719365450960561), PROX_SUPERMARKET = c(0.24778575064029,          0.221415122113844, 0.347306649978202, 0.44091986097032,          0.185503456748824, 0.396736556610776, 0.396736556610776,          0.293834967432244, 0.221249484047241, 0.363062686357781,          0.412975566732202, 0.128382981112681, 0.169391527985645,          0.475213328012689, 0.300584979098838, 0.191210069763785,          0.266710264104055, 0.13637298984998, 0.272257424647181,          0.100679215951394), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 1L, 2L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          5L, 4L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 2L, 5L, 6L,          2L, 6L, 3L, 6L), WITHIN_350M_BUS = c(8L, 9L, 9L, 11L,          6L, 11L, 11L, 7L, 5L, 13L, 6L, 10L, 8L, 6L, 5L, 2L, 7L,          6L, 9L, 5L), WITHIN_1KM_PRISCH = c(2L, 2L, 3L, 3L, 3L,          4L, 4L, 1L, 2L, 4L, 2L, 4L, 2L, 2L, 2L, 1L, 1L, 1L, 1L,          1L), DNeighbour = c(0, 63.7575589261245, 718.777919279124,          956.859676973188, 959.764784158305, 969.650690484158,          974.083446315922, 1027.52461558592, 1042.59412747322,          1071.77924272914, 1083.23660160281, 1121.80310565698,          1209.86287989378, 1240.72759500392, 1243.02466141601,          1248.10957620975, 1253.22482079105, 1271.38123635039,          1275.6984906212, 1302.04962998144)), row.names = c("487",      "71", "37", "964", "809", "499", "603", "29", "814", "776",      "395", "946", "404", "200", "746", "539", "266", "657", "540",      "9"), class = "data.frame"), num.trees = 500, mtry = 4, importance = "impurity",      case.weights = c(1, 0.995210200898168, 0.483381672687823,      0.211545469691656, 0.208535080769169, 0.198386074365624,      0.193884583682963, 0.142300624097562, 0.128756555239494,      0.103959658557256, 0.0947801087009999, 0.0664104012864539,      0.0186567449027337, 0.00845940054682948, 0.00785167478874383,      0.0065833536380994, 0.00541559353141954, 0.00216718963599753,      0.00160534950891657, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8249078335 
R squared (OOB):                  0.15757 

$Forests[[488]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(455000, 460000, 475000,      420000, 455000, 460000, 490888, 465000, 485000, 530000, 470000,      412000, 415000, 398000, 437000, 465000, 450000, 525000, 450000,      450000), floor_area_sqm = c(93, 92, 92, 93, 92, 92, 93, 95,      95, 95, 93, 90, 93, 93, 93, 90, 90, 97, 95, 94), storey_order = c(4L,      3L, 5L, 1L, 5L, 3L, 5L, 4L, 6L, 4L, 5L, 3L, 2L, 1L, 2L, 5L,      2L, 3L, 3L, 4L), remaining_lease_mths = c(1096, 1107, 1098,      1101, 1108, 1097, 1141, 1110, 1113, 1106, 1125, 1034, 1071,      1077, 1076, 1132, 1134, 1098, 1126, 1123), PROX_CBD = c(14.3469943525049,      14.2518409016409, 14.3437499696049, 14.3298082323417, 14.2694643570804,      14.2694643570804, 14.4799585140632, 14.3101587663686, 14.2445424628862,      14.4087790426081, 14.2374266118925, 13.9701294998534, 14.2040057462849,      14.2040057462849, 14.2040057462849, 14.6796515041342, 14.6796515041342,      14.3488328635023, 14.1366846915735, 14.0429369190019), PROX_ELDERLYCARE = c(1.07571195137499,      0.985840321219444, 1.14464302293932, 0.943112693551276, 1.14423906696184,      1.14423906696184, 1.06862824267944, 1.29024298571696, 1.24643506877499,      0.87860471100088, 1.2819446304668, 0.798789790509628, 0.732225931930739,      0.732225931930739, 0.732225931930739, 1.45102259724198, 1.45102259724198,      0.805205193908325, 1.17371591683522, 1.1015647640471), PROX_HAWKER = c(0.654543769257927,      0.656651462258042, 0.74882220835846, 0.494981643036057, 0.826638245470088,      0.826638245470088, 0.462243392197612, 0.961388959141492,      0.968852406622053, 0.295591155505828, 1.02089221118434, 0.796241674024292,      0.429643877236979, 0.429643877236979, 0.429643877236979,      0.836784965651702, 0.836784965651702, 0.28631929470226, 1.09084844555913,      1.07710025413616), PROX_MRT = c(0.131478587775223, 0.189142279194464,      0.217663394995295, 0.122691316210064, 0.30438768875815, 0.30438768875815,      0.082651796212049, 0.148967878322013, 0.184117552261459,      0.258499173090988, 0.148741201515391, 0.262922949537813,      0.339881548667158, 0.339881548667158, 0.339881548667158,      0.391052893274669, 0.391052893274669, 0.320519516131068,      0.218319465176875, 0.324573358240557), PROX_PARK = c(0.731552922713316,      0.785709089572823, 0.636899975343007, 0.760551135167525,      0.599699049952129, 0.599699049952129, 0.682350458092963,      0.444639968372477, 0.481320095248247, 0.572778275466331,      0.440474428767772, 0.929619749314005, 0.735378016798131,      0.735378016798131, 0.735378016798131, 0.566439778554251,      0.566439778554251, 0.585388118838944, 0.474063272255088,      0.58019258504408), PROX_GOOD_PRISCH = c(5.13548460888622,      5.03443000866885, 5.1680916684458, 5.05687720866847, 5.12184985907385,      5.12184985907385, 5.20136656590841, 5.21803047984022, 5.1542412945362,      5.07040230577432, 5.16870486361587, 4.76155598853922, 4.87692111553996,      4.87692111553996, 4.87692111553996, 5.51577006817018, 5.51577006817018,      4.99658730632735, 5.09375212835948, 4.9857651679507), PROX_MALL = c(0.480981762762808,      0.535261743386166, 0.38589862433106, 0.644100917109673, 0.351657486288216,      0.351657486288216, 0.64848155368644, 0.199960318099191, 0.248497232357685,      0.48422641650143, 0.22058685557285, 0.698652085628877, 0.458083927679449,      0.458083927679449, 0.458083927679449, 0.38618207223371, 0.38618207223371,      0.415696526053807, 0.295276560881227, 0.401409437181884),          PROX_CHAS = c(0.0578525184286013, 0.121511881264649,          0.0401042229543167, 0.116678641770301, 0.120456720485379,          0.120456720485379, 0.149921511006425, 0.199960275799137,          0.185564313785613, 0.263312743704905, 0.177995101264401,          0.224338502615803, 0.0920652608940773, 0.0920652608940773,          0.0920652608940773, 0.367772140885018, 0.367772140885018,          0.232702657922268, 0.0995517477546361, 0.0207330025336023         ), PROX_SUPERMARKET = c(0.0704323341151683, 0.121511691834874,          0.165776473264822, 0.116679779166118, 0.244158473149448,          0.244158473149448, 0.149922203205158, 0.199173279096103,          0.185564776027004, 0.263313051629592, 0.177995229543633,          0.281017798180362, 0.0920659899308881, 0.0920659899308881,          0.0920659899308881, 0.0442147517112349, 0.0442147517112349,          0.232703172737007, 0.0995512052866983, 0.0207321820187816         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 1L, 2L, 1L, 1L,          1L, 1L, 1L, 1L, 0L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(7L, 10L, 8L, 7L, 10L, 10L,          6L, 8L, 9L, 6L, 8L, 7L, 5L, 5L, 5L, 4L, 4L, 6L, 8L, 6L         ), WITHIN_350M_BUS = c(8L, 9L, 8L, 9L, 9L, 9L, 6L, 6L,          7L, 10L, 6L, 13L, 9L, 9L, 9L, 4L, 4L, 9L, 8L, 9L), WITHIN_1KM_PRISCH = c(4L,          6L, 5L, 5L, 6L, 6L, 4L, 7L, 7L, 5L, 7L, 8L, 5L, 5L, 5L,          4L, 4L, 6L, 7L, 7L), DNeighbour = c(0, 102.675859667079,          104.229692885772, 173.516730735635, 174.604064076367,          179.053683342684, 212.255873810994, 319.65813438082,          321.724130468871, 363.783189067162, 374.471929331131,          378.676859234987, 378.68430149539, 382.25006479862, 382.378724342472,          385.676844531694, 388.213393022438, 410.189575089997,          444.43060563481, 456.672840946131)), row.names = c("488",      "73", "70", "688", "470", "434", "979", "142", "349", "969",      "537", "301", "272", "448", "911", "996", "405", "363", "76",      "754"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.901454160434058,      0.898529231743282, 0.732105320470847, 0.729002631740676,      0.716174396801511, 0.614612859931416, 0.260140195633234,      0.253699152320687, 0.133544054087349, 0.107321289986304,      0.0976023698826043, 0.0975854834109885, 0.0896262241514994,      0.0893440043099576, 0.0822302890557806, 0.0769205740029115,      0.0373312797330773, 0.00279801482150279, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       984747947 
R squared (OOB):                  0.1369634 

$Forests[[489]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 390000, 450000,      418888, 442500, 418000, 335000, 345000, 382000, 425000, 430000,      418000, 395000, 425000, 334008, 462000, 443000, 447888, 459000,      358000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 102,      90, 93, 93, 92, 92, 93, 93, 103, 93, 93, 93, 93, 104), storey_order = c(2L,      1L, 4L, 3L, 6L, 5L, 4L, 5L, 1L, 5L, 5L, 3L, 2L, 4L, 2L, 5L,      5L, 5L, 4L, 4L), remaining_lease_mths = c(1132, 1132, 1135,      1136, 1138, 1142, 940, 937, 1111, 1134, 1137, 1134, 1138,      1134, 917, 1134, 1134, 1137, 1138, 815), PROX_CBD = c(14.6122009832922,      14.6424103631698, 14.5310939664424, 14.4158973706441, 14.4158973706441,      14.4012043650842, 14.4474740114555, 14.2787185061121, 14.29200158436,      14.3486805845321, 14.2919055230493, 14.318757359464, 14.318757359464,      14.318757359464, 14.2719972222741, 14.1475961545785, 14.1475961545785,      14.1475961545785, 14.1715462602585, 14.0960645211931), PROX_ELDERLYCARE = c(1.68824062303628,      1.72557175775889, 1.79186944623163, 1.86115765343828, 1.86115765343828,      1.94149260139439, 1.50338082315219, 1.77826193055387, 2.00367987562091,      2.08279710659019, 2.08663557441472, 2.13920478430288, 2.13920478430288,      2.13920478430288, 1.50921581969441, 2.03155968851809, 2.03155968851809,      2.03155968851809, 2.09595649451453, 1.70531999087377), PROX_HAWKER = c(0.707122679385598,      0.740384095011384, 0.816792492128141, 0.900970586039013,      0.900970586039013, 0.977925494011815, 0.588144724666333,      0.865181709866835, 1.05572120633707, 1.11865892678262, 1.13160866269818,      1.17625726432186, 1.17625726432186, 1.17625726432186, 0.684102697062058,      1.0452124348096, 1.0452124348096, 1.0452124348096, 1.11030496241672,      0.845358517598031), PROX_MRT = c(0.295449456212788, 0.312698200175978,      0.197201307651512, 0.0830542408041225, 0.0830542408041225,      0.117672709296806, 0.224566301285939, 0.14195902454703, 0.129588785375857,      0.228370105834555, 0.215635082050947, 0.277525006355607,      0.277525006355607, 0.277525006355607, 0.347262283963267,      0.206896355650083, 0.206896355650083, 0.206896355650083,      0.236487582928319, 0.217341234217998), PROX_PARK = c(1.76906915549279,      1.78460824921244, 1.79335149216305, 1.70853765465547, 1.70853765465547,      1.73691437359179, 1.55939681176166, 1.51686048726609, 1.659682039687,      1.76668334590621, 1.71136953372848, 1.77227256709076, 1.77227256709076,      1.77227256709076, 1.38760566459916, 1.52292224478236, 1.52292224478236,      1.52292224478236, 1.59201213147604, 1.27300714898888), PROX_GOOD_PRISCH = c(5.7298925008129,      5.77937603269072, 5.7030752613132, 5.62289607338158, 5.62289607338158,      5.65284274036128, 5.45861643017911, 5.42826997650874, 5.57470277830303,      5.67955556528646, 5.62322031775431, 5.68167095374807, 5.68167095374807,      5.68167095374807, 5.26118802945754, 5.43570837857945, 5.43570837857945,      5.43570837857945, 5.50129862889456, 5.17863906457975), PROX_MALL = c(0.426875162675013,      0.482269498416602, 0.466036051693473, 0.475045953779526,      0.475045953779526, 0.544441659044551, 0.12145856762689, 0.338911837083335,      0.462705775504015, 0.571430807201143, 0.517951444315281,      0.582562895872492, 0.582562895872492, 0.582562895872492,      0.108121271181015, 0.329425359540921, 0.329425359540921,      0.329425359540921, 0.405991175981987, 0.243284841315127),          PROX_CHAS = c(0.270793953405505, 0.280031834846542, 0.162368565956873,          0.0420419616737589, 0.0420419616737589, 0.0706873614354785,          0.121458549123021, 0.18872293939054, 0.0888572682655253,          0.0590253437170886, 3.54155757628082e-08, 0.0707174365033835,          0.0707174365033835, 0.0707174365033835, 0.108121286081234,          0.188783823394846, 0.188783823394846, 0.188783823394846,          0.12657377242065, 0.132339190026647), PROX_SUPERMARKET = c(0.270794118098451,          0.280032026158491, 0.162368758687164, 0.0420421510628514,          0.0420421510628514, 0.0706874850207218, 0.134916350552101,          0.188722783027928, 0.124391003677116, 0.199153546859355,          0.199383936085002, 0.25307995359875, 0.25307995359875,          0.25307995359875, 0.105248463653719, 0.235757849482592,          0.235757849482592, 0.235757849482592, 0.248308073473709,          0.226949559622758), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,          2L, 2L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(5L, 3L,          4L, 5L, 5L, 5L, 5L, 6L, 5L, 4L, 5L, 4L, 4L, 4L, 4L, 6L,          6L, 6L, 5L, 7L), WITHIN_350M_BUS = c(6L, 6L, 8L, 7L,          7L, 6L, 11L, 8L, 5L, 4L, 4L, 3L, 3L, 3L, 10L, 6L, 6L,          6L, 5L, 9L), WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 4L, 4L,          3L, 5L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 5L, 4L, 4L, 4L, 4L,          5L), DNeighbour = c(0, 57.3237867635143, 120.232633992853,          236.141819315652, 237.510493332074, 297.526426312148,          302.703396169062, 341.809591401819, 393.48778642701,          426.855902314969, 457.333168636828, 481.26371205444,          485.257609489107, 489.19131574947, 491.92199149396, 503.455652379982,          506.576573245818, 508.24676276421, 524.732452213557,          560.159919349161)), row.names = c("489", "323", "609",      "100", "33", "633", "826", "329", "989", "217", "267", "58",      "840", "205", "381", "207", "966", "623", "277", "880"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.979164896939335, 0.909981949260592, 0.676154194575062,      0.672760735953631, 0.515358078812089, 0.501237652507963,      0.393951980562443, 0.256598314545559, 0.175827409985961,      0.111180093955639, 0.068567605815427, 0.062276163991576,      0.0563282362065252, 0.0523483074302576, 0.0369447499463333,      0.0331837789665173, 0.0312449577362715, 0.0150039426346315,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1393544616 
R squared (OOB):                  0.148728 

$Forests[[490]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 325000, 295000,      370000, 350000, 390000, 345000, 345000, 370000, 343000, 320000,      325000, 380000, 420000, 420000, 380000, 345000, 323000, 340000,      335000), floor_area_sqm = c(104, 104, 105, 103, 104, 126,      104, 103, 93, 102, 106, 90, 93, 93, 92, 93, 102, 104, 101,      101), storey_order = c(1L, 1L, 1L, 4L, 2L, 2L, 4L, 5L, 1L,      5L, 1L, 4L, 1L, 3L, 6L, 1L, 2L, 3L, 5L, 2L), remaining_lease_mths = c(879,      872, 870, 881, 863, 879, 862, 944, 1139, 935, 851, 912, 1138,      1139, 1104, 1142, 935, 956, 943, 933), PROX_CBD = c(15.9652370890998,      15.9652370890998, 16.027241877126, 15.9139497277605, 15.9139497277605,      16.1769042321823, 16.2035530975804, 15.6615925135045, 15.8422849591204,      15.6558233565228, 15.9983120826665, 16.3759795802925, 15.9652529785268,      15.9652529785268, 16.0058570800758, 15.6174435761395, 16.0814208174046,      16.3822081442679, 15.9284058495794, 16.135389698045), PROX_ELDERLYCARE = c(0.372962984236141,      0.372962984236141, 0.401697186037664, 0.471057675436291,      0.471057675436291, 0.382017171357745, 0.462412199513001,      0.372854461013726, 0.241353796602158, 0.268146833149962,      0.541237256511776, 0.437652472603004, 0.120425003900544,      0.120425003900544, 0.0922651494707867, 0.457575537702088,      0.129424766752979, 0.317064501792404, 0.260351961534281,      0.214357316635524), PROX_HAWKER = c(2.45115541279444, 2.45115541279444,      2.44772974464855, 2.34701070601947, 2.34701070601947, 2.55739022352562,      2.51024920878341, 2.39243139523594, 2.37354129025836, 2.27183532495414,      2.1818192257633, 2.71828200917597, 2.36922200206298, 2.36922200206298,      2.393526972262, 2.21004723991438, 2.40830007300065, 2.76474077583521,      2.2342618496891, 2.40272097648418), PROX_MRT = c(0.52727924180445,      0.52727924180445, 0.538616250543522, 0.424613907535265, 0.424613907535265,      0.674610535324426, 0.65447898159524, 0.499275570100955, 0.721786411333246,      0.370313443989706, 0.364450998520493, 0.870089952652958,      0.886101680623091, 0.886101680623091, 0.910164710677637,      0.70935210619912, 1.00126993569874, 1.02897813643603, 1.02417718077332,      1.09323648573999), PROX_PARK = c(1.39203600576681, 1.39203600576681,      1.35146177086674, 1.30337713627377, 1.30337713627377, 1.39748820590438,      1.32632916723033, 1.19384102986047, 1.42084473696832, 1.16446299803307,      1.05372411430502, 1.49155883505512, 1.58077599563476, 1.58077599563476,      1.6216647961598, 1.21748666352844, 1.7154732425778, 1.73717122008599,      1.61207436869795, 1.7942088991982), PROX_GOOD_PRISCH = c(6.02718330754398,      6.02718330754398, 6.09534233388474, 5.99275530970335, 5.99275530970335,      6.23706483495109, 6.27623366830878, 5.71328270316738, 5.8611108446886,      5.73062396037349, 6.12314921566155, 6.4246273009838, 5.96493131981452,      5.96493131981452, 6.00411547246196, 5.63578467655705, 6.0710937852797,      6.39421933734494, 5.90870946924896, 6.11593822040069), PROX_MALL = c(0.238316612740974,      0.238316612740974, 0.275346491924215, 0.338688619983659,      0.338688619983659, 0.292722816398213, 0.370949542105629,      0.238209845871265, 0.177442774283774, 0.155488337640192,      0.45623102577182, 0.409369768138594, 0.18546430077947, 0.18546430077947,      0.187934498474296, 0.401390812484646, 0.261655001598387,      0.374078152135628, 0.350369242497661, 0.350342319635), PROX_CHAS = c(0.238316573509266,      0.238316573509266, 0.275346446899555, 0.338688583692834,      0.338688583692834, 0.292722768811081, 0.370949494121523,      0.238209795937414, 0.177442804982894, 0.155488306171375,      0.290215734280461, 0.409369730284335, 0.185464348558652,      0.185464348558652, 0.187934543511456, 0.187858028295528,      0.26165503944411, 0.374078140160073, 0.35036929019185, 0.350342354631045     ), PROX_SUPERMARKET = c(0.177610526119132, 0.177610526119132,      0.141316208924405, 0.112474666082431, 0.112474666082431,      0.254565333705719, 0.235998227482853, 0.238833101010687,      0.197153631350279, 0.152010752053411, 0.162067612034701,      0.389543937857684, 0.198556813498254, 0.198556813498254,      0.197516435852273, 0.412009517866082, 0.265481412722203,      0.357574924056941, 0.363015443397577, 0.352223797136593),          WITHIN_350M_KINDERGARTEN = c(3L, 3L, 3L, 3L, 3L, 5L,          3L, 3L, 2L, 4L, 1L, 2L, 1L, 1L, 1L, 3L, 0L, 2L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 8L, 9L, 9L, 8L,          5L, 5L, 7L, 8L, 6L, 2L, 5L, 5L, 5L, 3L, 5L, 1L, 3L, 2L         ), WITHIN_350M_BUS = c(14L, 14L, 12L, 15L, 15L, 9L, 7L,          16L, 15L, 14L, 12L, 5L, 15L, 15L, 14L, 15L, 13L, 9L,          10L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L         ), DNeighbour = c(0, 1.88217402855912, 71.1782985756866,          101.359242127936, 104.851906627164, 208.192758412288,          249.182432660457, 312.54499795304, 314.094870520136,          319.977171391392, 333.3198926402, 408.364292925092, 412.135457549828,          420.497052749751, 423.012521991401, 460.028856320541,          498.310259082379, 511.396598048311, 575.257505570355,          583.615082154108)), row.names = c("490", "566", "463",      "927", "959", "54", "806", "572", "585", "450", "888", "974",      "913", "137", "154", "766", "890", "173", "705", "88"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999979198518031, 0.970472263186076, 0.940583919488965,      0.936486871384222, 0.761682111408247, 0.668636612078419,      0.508660885441413, 0.504601725763595, 0.489164232556246,      0.454021120151504, 0.260506895432245, 0.251315990535353,      0.231239667869973, 0.225287228677215, 0.143396589607429,      0.0734236098404311, 0.0539048960686403, 0.000808585749746705,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1075509755 
R squared (OOB):                  0.0671202 

$Forests[[491]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 320000, 339000,      315000, 345000, 305000, 364000, 338000, 313000, 345000, 330000,      325000, 295000, 320000, 315000, 312000, 324000, 288000, 330000,      336000), floor_area_sqm = c(102, 101, 102, 102, 102, 99,      100, 102, 99, 102, 102, 91, 101, 100, 103, 101, 90, 84, 103,      102), storey_order = c(4L, 1L, 3L, 2L, 4L, 1L, 2L, 4L, 4L,      2L, 1L, 2L, 1L, 4L, 2L, 2L, 4L, 3L, 1L, 3L), remaining_lease_mths = c(923,      924, 923, 913, 926, 921, 921, 922, 918, 927, 911, 970, 917,      930, 926, 933, 929, 893, 928, 916), PROX_CBD = c(18.0569924715364,      18.0902268845521, 17.9456645257603, 17.9994058772431, 18.236688278315,      17.9733391318796, 17.9386403893839, 18.1611534549189, 17.8728040148932,      18.2868848905217, 18.2320763538069, 17.7083177660008, 18.4986491838169,      18.242108360018, 18.5458637520931, 18.4625985868209, 18.3448727328387,      18.3632948597919, 18.5768909080638, 18.5506225538857), PROX_ELDERLYCARE = c(0.59750504274373,      0.706169610995159, 0.476454782767532, 0.430537495183344,      0.732088251039709, 0.376016337241346, 0.714833653499633,      0.519233937445895, 0.330981516384048, 0.896456720381782,      0.927534095024191, 0.378187975507624, 0.86418951980865, 1.08331104464233,      0.890661700747245, 0.765079897684544, 1.12000720290482, 0.645296274244347,      0.912532633143698, 0.859723249528503), PROX_HAWKER = c(0.391180253405874,      0.370412154176866, 0.3648710200987, 0.472244893923117, 0.537987121264097,      0.501520555884575, 0.201936965562497, 0.617364695979906,      0.446535534086157, 0.547085889030319, 0.493410913505403,      0.340346390827249, 0.838043969781633, 0.548257960059823,      0.898999046399804, 0.906262708365532, 0.636376603494217,      0.921741667576702, 0.935860141611343, 0.958117298193611),          PROX_MRT = c(0.384524332485438, 0.341202563029131, 0.385567417899789,          0.492638498779759, 0.511061821383635, 0.52882455357406,          0.168914117564514, 0.623413162025338, 0.4868918768976,          0.495991449430539, 0.433316978327494, 0.403335562748004,          0.812751343363136, 0.47401652613315, 0.87509641959225,          0.897303014326537, 0.565211037998289, 0.927224403125457,          0.912233851204259, 0.942174684471822), PROX_PARK = c(1.77011013021076,          1.8531048262974, 1.76180373116006, 1.65421298847909,          1.7164330470264, 1.62685700377268, 1.99379565561889,          1.52418818882418, 1.69875568186822, 1.86697967968657,          1.96114614265628, 1.86766019581863, 1.49181484955502,          2.12857307310705, 1.4387346144793, 1.31620863428189,          2.08056453235766, 1.22890358268929, 1.41172869826724,          1.32670572464855), PROX_GOOD_PRISCH = c(8.58956131155308,          8.60631027953587, 8.49089982759618, 8.5589292690065,          8.76378557853615, 8.54142359534323, 8.4444135457925,          8.72758527833631, 8.43952013253886, 8.78822500750919,          8.72297519828522, 8.26299778187914, 9.04519470993137,          8.71021480286832, 9.09837600782165, 9.04019528068803,          8.81498363377987, 8.96505409295358, 9.13217936844248,          9.12094588228633), PROX_MALL = c(0.407254736414821, 0.342860958869265,          0.428159644756295, 0.446560923090423, 0.240339889961931,          0.395841490391381, 0.238372860218233, 0.475604736810637,          0.330972758922268, 0.1450338527091, 0.22704735136933,          0.335143296665789, 0.305101649121832, 0.347669457974494,          0.359721010486642, 0.414588198127445, 0.284195187673565,          0.282416841692855, 0.390092702495136, 0.46921205797367         ), PROX_CHAS = c(0.222103720735081, 0.209799590563819,          0.218909691095897, 0.324811070171065, 0.184864523484869,          0.364030465322827, 0.076984763134016, 0.405258493214775,          0.330972805611547, 0.0217240252323136, 0.11607611654581,          0.30242004444134, 0.305101651313883, 0.274735402884708,          0.359721009550721, 0.399223798550346, 0.24769320941352,          0.231219576578415, 0.390092699752756, 0.469212052170377         ), PROX_SUPERMARKET = c(0.385535197909366, 0.342860053820009,          0.365864675212809, 0.408691343873882, 0.240339157209448,          0.356071330024396, 0.171190500184261, 0.475604214408431,          0.300218301814749, 0.145032957963293, 0.227046556279957,          0.332189289926598, 0.305101855713295, 0.347668959247477,          0.359721304530864, 0.414588227521533, 0.284194910851331,          0.282416494634945, 0.390093045846372, 0.469212308573368         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 1L, 2L, 2L, 1L,          1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 6L, 3L, 4L, 6L, 3L,          6L, 5L, 4L, 7L, 5L, 6L, 6L, 3L, 5L, 6L, 5L, 8L, 5L, 6L         ), WITHIN_350M_BUS = c(9L, 7L, 8L, 9L, 7L, 11L, 8L, 10L,          8L, 9L, 10L, 7L, 9L, 7L, 9L, 8L, 8L, 8L, 9L, 8L), WITHIN_1KM_PRISCH = c(6L,          5L, 6L, 7L, 6L, 7L, 5L, 6L, 7L, 4L, 4L, 5L, 4L, 4L, 4L,          5L, 4L, 4L, 4L, 5L), DNeighbour = c(0, 120.284936781345,          132.339779240498, 170.281201098045, 181.416272401444,          224.035925695991, 226.98929408245, 242.31430489073, 269.260765115965,          302.682548000367, 330.198041952482, 365.675014042036,          454.921074017441, 498.888157768162, 511.215628200411,          512.733776617921, 525.490931361404, 545.568935098445,          549.746073931447, 566.678295280823)), row.names = c("491",      "74", "20", "177", "227", "179", "638", "330", "992", "787",      "443", "544", "684", "608", "576", "729", "512", "864", "828",      "291"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.91191869741612,      0.893896387705552, 0.827564492125808, 0.805525120321671,      0.71182774881341, 0.70484552412262, 0.667741014123183, 0.599426650806683,      0.510796246553038, 0.436223020672263, 0.340581467423636,      0.126405539651892, 0.0505996826720053, 0.034658298058755,      0.0328793233459693, 0.0196228258759891, 0.00534572349455796,      0.00346529470315356, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       352484663 
R squared (OOB):                  0.00204761 

$Forests[[492]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(440000, 660000, 672000,      345000, 4e+05, 358000, 363000, 430000, 340000, 710000, 675000,      650000, 370000, 662000, 715000, 355000, 550000, 680000, 380000,      380000), floor_area_sqm = c(91, 85, 85, 84, 104, 84, 84,      104, 84, 93, 95, 104, 84, 95, 95, 84, 102, 95, 93, 92), storey_order = c(5L,      3L, 5L, 1L, 2L, 3L, 4L, 2L, 1L, 6L, 2L, 3L, 3L, 3L, 6L, 3L,      3L, 4L, 3L, 1L), remaining_lease_mths = c(669, 1032, 1042,      789, 783, 770, 780, 781, 780, 1084, 1093, 815, 777, 1093,      1099, 782, 761, 1084, 790, 767), PROX_CBD = c(6.95185067667089,      6.62545736407856, 6.58265946872266, 7.23308787648785, 6.8579883001408,      6.82164733234375, 6.82164733234375, 7.27303659463988, 6.73119135364588,      6.17931132662417, 6.15852201326599, 7.71625132507906, 7.32999369210923,      6.11286474740545, 6.06656257116635, 7.37752466520609, 6.04257091454572,      6.04001281876484, 7.92065359752155, 8.01258306529517), PROX_ELDERLYCARE = c(0.368543492371998,      0.121758896932011, 0.129826558983194, 0.804640181087392,      0.650979480304367, 0.729511559050305, 0.729511559050305,      0.949520652768775, 0.709869492714774, 0.411122241220865,      0.428116600598184, 1.13999552495818, 1.04617467786566, 0.471592353212743,      0.516985202466339, 1.11141904944431, 0.548656319889636, 0.545921172841312,      1.44631042678071, 1.38923408288603), PROX_HAWKER = c(0.163396016993116,      0.33268573973532, 0.37361464573735, 0.727393295990439, 0.732876252375814,      0.834207881424508, 0.834207881424508, 0.905159668549179,      0.84617550022745, 0.114709112077857, 0.104458461300263, 0.888477780938884,      1.00458194418859, 0.0855319563513606, 0.0900485470251793,      1.06790139631185, 0.19523132016882, 0.0606577495598573, 0.646393168274836,      0.532883444787396), PROX_MRT = c(0.258776848421036, 0.255638745600017,      0.288098631383321, 0.626719191507479, 0.479854345281657,      0.401668294921849, 0.401668294921849, 0.477339162120678,      0.447149108468339, 0.54480998513683, 0.567634817298681, 0.227897729387739,      0.446590670593176, 0.576684647572531, 0.530436532640755,      0.450606800129455, 0.448203274012385, 0.53617676606472, 0.434970780163821,      0.57194553577364), PROX_PARK = c(0.871860056746433, 0.741691321664553,      0.734858817801552, 1.17683143601381, 1.26891760289394, 1.33915084667526,      1.33915084667526, 1.28136359713013, 1.30601230217613, 0.461766774013401,      0.487498062645995, 0.374132090410645, 1.30043300411079, 0.517760851715104,      0.548254609843109, 1.30417314517193, 0.651264615899835, 0.524571131123829,      0.790688256163915, 0.580004121625521), PROX_GOOD_PRISCH = c(1.99104033276262,      2.08436883673306, 2.10026546945211, 2.53413597667736, 2.57894825178105,      2.67483404440455, 2.67483404440455, 2.72285479219865, 2.67147237000904,      1.95037752635058, 1.97696478280336, 1.93537396204111, 2.81856751915823,      2.00772186702724, 2.03651743937875, 2.87682745937193, 2.14268529299874,      2.00925132829891, 2.86596411907387, 2.75227504535898), PROX_MALL = c(1.10491400246256,      0.757747380414752, 0.712222885156031, 1.33824767405872, 0.985446043286547,      0.977306285381771, 0.977306285381771, 1.40144317349524, 0.894914409230097,      0.476611693189829, 0.446404896609829, 1.9342939090943, 1.4733570331857,      0.403935094648282, 0.365617038961166, 1.52964479685301, 0.264532440460292,      0.387042201482337, 2.02812113432733, 2.11322307221905), PROX_CHAS = c(0.197049444171332,      0.152169077912936, 0.19769969897302, 0.335243362149438, 0.418063314797021,      0.389404577789016, 0.389404577789016, 0.150676124399865,      0.468632365618207, 0.10259225576309, 0.0766942583569258,      0.147762521806201, 0.100781853121145, 0.0679258481743644,      0.0929349198733403, 0.123680988169118, 0.12619956254809,      0.134421273847083, 0.0418426354504526, 0.1333322783253),          PROX_SUPERMARKET = c(0.145490551360364, 0.21094349839638,          0.255985378039003, 0.400791637001426, 0.471666412940503,          0.457775852816324, 0.457775852816324, 0.216512452964216,          0.541263540151477, 0.134806953278168, 0.11965836137487,          0.185503456748824, 0.154588063793208, 0.0895469396191502,          0.0785030623714358, 0.15284622075069, 0.178930757423705,          0.0393286469640316, 0.6226371739075, 0.475213328012689         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 1L, 0L, 0L,          0L, 1L, 0L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 0L, 1L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 0L, 0L, 2L, 1L, 1L,          1L, 4L, 2L, 3L, 3L, 3L, 4L, 3L, 3L, 5L, 4L, 4L, 3L, 2L         ), WITHIN_350M_BUS = c(4L, 2L, 2L, 4L, 3L, 4L, 4L, 7L,          4L, 6L, 6L, 6L, 8L, 6L, 8L, 9L, 7L, 8L, 6L, 6L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 1L, 1L,          3L, 1L, 1L, 3L, 2L), DNeighbour = c(0, 350.818454767843,          390.461542998477, 561.245034813229, 613.818754797674,          721.064682103074, 721.489813743275, 739.787701857398,          746.739541541804, 775.003456003014, 793.351003662853,          835.002100763245, 845.129624484749, 845.412610021331,          880.935005973329, 907.192730083345, 909.597864871322,          914.414099909777, 1126.0906971293, 1129.98318907794)), row.names = c("492",      "841", "388", "171", "168", "46", "322", "611", "529", "756",      "23", "809", "187", "536", "297", "948", "453", "930", "1",      "200"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.816515477338201,      0.775452369837455, 0.567467814017647, 0.496915493952108,      0.351415492570071, 0.350846277790883, 0.326477565477196,      0.317294269268081, 0.280480748632127, 0.257118217227854,      0.206072018161993, 0.194150807016902, 0.193820771093799,      0.153839419684818, 0.126346237747889, 0.123925120505916,      0.119128489826006, 4.73014172467341e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3704759325 
R squared (OOB):                  0.8373039 

$Forests[[493]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 355000, 399000,      365000, 380000, 411000, 420000, 385000, 485000, 350000, 395000,      418000, 430000, 420000, 423000, 440000, 425000, 625000, 410000,      415000), floor_area_sqm = c(84, 84, 102, 103, 105, 104, 103,      102, 104, 84, 103, 84, 104, 105, 104, 104, 104, 94, 104,      103), storey_order = c(4L, 3L, 3L, 1L, 1L, 1L, 2L, 3L, 3L,      2L, 4L, 3L, 1L, 2L, 2L, 3L, 3L, 3L, 2L, 2L), remaining_lease_mths = c(814,      804, 766, 757, 775, 806, 757, 755, 823, 806, 772, 821, 805,      787, 827, 752, 747, 1085, 761, 768), PROX_CBD = c(12.8927390133383,      13.01786092695, 13.0078000734933, 13.0970803497533, 12.8173662852819,      13.1755942624772, 13.2614515751509, 13.2614515751509, 12.533007335037,      13.3385512116162, 13.1724132817366, 13.3325431063631, 12.514948085948,      12.7549887608908, 13.4971436153267, 13.1913836000948, 12.4246534304877,      13.3230141016287, 12.2901811097239, 13.0537205387581), PROX_ELDERLYCARE = c(0.702153634905252,      0.807586217367385, 0.748101088186933, 0.830352740740998,      0.548539301056628, 1.08363260419178, 0.99636081833896, 0.99636081833896,      0.635175801858358, 1.09997831443452, 0.906244923447749, 1.22529955141455,      0.754587815834464, 0.556485595404089, 1.36472832701396, 0.779182108791446,      0.223353489993969, 1.40693910044933, 0.180150537957213, 0.569472877275307     ), PROX_HAWKER = c(0.876276656944215, 0.976719939584195,      0.90031621758677, 0.973651338137405, 0.687183343617196, 1.26154745049637,      1.14030290242306, 1.14030290242306, 0.80610763907972, 1.2578245237404,      1.03184370064912, 1.40113048988486, 0.918952349521139, 0.627642822312809,      1.53740682378418, 1.05769292681279, 0.283538945902673, 1.58753442345041,      0.155357947035291, 0.963287544217337), PROX_MRT = c(0.279401054335897,      0.343251427728879, 0.513893198964272, 0.602819058882962,      0.607087114668938, 0.324849533681113, 0.667490524156887,      0.667490524156887, 0.317839503016409, 0.602718547061467,      0.712767869041386, 0.481797794839233, 0.361279603881815,      0.561554903993597, 0.586728597341744, 0.577154139562059,      0.694199692700576, 0.336472807994142, 0.729338839878115,      0.551410176707671), PROX_PARK = c(0.620470631841848, 0.656436399769765,      0.842333894517479, 0.879464356596765, 0.953457314885518,      0.447685878226129, 0.758867978246924, 0.758867978246924,      0.503650356541676, 0.569772965965399, 0.94305137750942, 0.354623255285983,      0.436213246481288, 1.16122098497616, 0.212766960501703, 1.12092772213378,      1.19561442246869, 0.286498275370587, 1.26762597166046, 0.974634241933185     ), PROX_GOOD_PRISCH = c(1.774803188623, 1.85318585541752,      1.72660166123773, 1.76550469910092, 1.5016146113424, 2.16883728054707,      1.91909050044553, 1.91909050044553, 1.74800143577954, 2.07907555576542,      1.76071721252525, 2.29474127216967, 1.8549021101536, 1.29435567579286,      2.41235725048041, 1.6842887316892, 1.09898709469432, 2.51508960065264,      0.992456269301591, 1.48818847749708), PROX_MALL = c(0.322264379768498,      0.400117032043626, 0.5620231960968, 0.655283448157635, 0.635314033644823,      0.386525633611572, 0.72813233212774, 0.72813233212774, 0.260189306400009,      0.668924040978838, 0.808064657998832, 0.542371475290289,      0.294446956047624, 0.542723135774117, 0.707673546664446,      0.813382909306435, 0.626909601034773, 0.614219522084071,      0.649064194608972, 0.593340478429386), PROX_CHAS = c(0.241407331054591,      0.191102980152323, 1.4078617678234e-08, 0.10733838099953,      0.149554006756045, 0.194419509978617, 0.255705601713763,      0.255705601713763, 0.227429082883153, 0.191227179226131,      0.253073540027742, 0.059226360432522, 0.29446060409402, 0.144180959238343,      0.13417187150752, 0.19044114280624, 0.221655673315632, 0.389026612692193,      0.128297543182753, 0.203693673714882), PROX_SUPERMARKET = c(0.234452518543083,      0.230446816430876, 0.0851968725918189, 0.176189281490626,      0.14719471752053, 0.386520309138909, 0.336474046543398, 0.336474046543398,      0.260187243864149, 0.444314653432489, 0.263318229535236,      0.542367678587035, 0.294460269353442, 0.150188458093997,      0.707669264145537, 0.190441743522314, 0.209750471448386,      0.614233853755243, 0.159863951308791, 0.349948262987797),          WITHIN_350M_KINDERGARTEN = c(2L, 3L, 2L, 1L, 3L, 1L,          2L, 2L, 1L, 1L, 1L, 0L, 1L, 2L, 0L, 3L, 2L, 1L, 4L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 2L, 2L, 1L, 2L, 5L,          2L, 2L, 3L, 3L, 3L, 6L, 2L, 3L, 5L, 4L, 5L, 5L, 5L, 2L         ), WITHIN_350M_BUS = c(4L, 5L, 6L, 4L, 5L, 12L, 6L, 6L,          7L, 5L, 6L, 10L, 8L, 7L, 7L, 8L, 4L, 10L, 3L, 8L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 5L, 4L, 4L, 4L, 3L, 5L, 4L, 4L, 2L, 5L, 4L,          5L, 5L, 1L, 5L, 6L), DNeighbour = c(0, 122.757744827452,          242.115323155764, 336.748521756798, 338.75145425476,          386.560993487407, 440.030790730836, 443.919270585214,          450.018744205918, 454.110984728066, 490.560755849834,          518.453249837897, 557.335017170812, 624.872240665483,          662.010619976566, 680.243121922705, 684.024549757195,          746.171752390269, 791.187289825968, 805.340837964132)), row.names = c("493",      "789", "103", "597", "523", "131", "753", "473", "758", "618",      "225", "565", "12", "215", "353", "229", "186", "559", "518",      "541"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.954070316563955,      0.827403709281368, 0.680881615172049, 0.67744327622897, 0.592288946477315,      0.492042118985629, 0.484635234469284, 0.473000739676033,      0.465186469152991, 0.395584847163289, 0.342882645150098,      0.27151259507816, 0.158374729748125, 0.105153789806638, 0.0821058829073319,      0.0776107451005536, 0.0200346349894404, 0.0012138496919146,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2885647191 
R squared (OOB):                  0.130539 

$Forests[[494]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 335000, 328000,      361000, 360000, 325000, 370000, 333000, 388000, 360000, 330000,      408000, 395000, 4e+05, 368000, 325000, 345000, 340000, 309000,      398000), floor_area_sqm = c(103, 84, 84, 84, 103, 85, 98,      84, 100, 104, 84, 100, 101, 104, 100, 84, 91, 104, 91, 100     ), storey_order = c(3L, 2L, 4L, 4L, 1L, 1L, 2L, 3L, 4L, 2L,      3L, 4L, 4L, 2L, 2L, 5L, 3L, 1L, 2L, 2L), remaining_lease_mths = c(796,      796, 806, 794, 798, 830, 912, 823, 922, 804, 791, 921, 936,      822, 923, 812, 773, 869, 774, 924), PROX_CBD = c(10.2571858212528,      10.2571858212528, 10.2439629519707, 10.1908965186918, 10.1540744969693,      10.1989356004427, 10.6430674352334, 9.85122377146013, 10.3133134299625,      10.0879656312395, 9.73525531751342, 10.7481925626994, 10.5347600839054,      10.8294299245227, 10.5911430304609, 9.87023127008802, 9.63489497584329,      10.9782438935663, 9.64616581570663, 10.2027088676681), PROX_ELDERLYCARE = c(0.969336561855173,      0.969336561855173, 0.904720646157319, 0.891997547710976,      0.85844301108046, 1.08623091115154, 1.10983952182968, 0.999223533815273,      1.4124150938613, 1.31022889057949, 0.869795033999967, 1.00181077128688,      1.31633228018286, 0.925828280583076, 1.2745451415541, 1.35138892750767,      0.42629854090558, 0.748731634955849, 0.306199433665808, 1.63738856945076     ), PROX_HAWKER = c(0.543600998034675, 0.543600998034675,      0.616195579705155, 0.594526114354717, 0.614574465644474,      0.368744432216956, 0.494234864614673, 0.526313717816828,      0.0623262564011618, 0.196699811405185, 0.687117415591119,      0.591883114810231, 0.259744380023822, 0.558859907936318,      0.314632743063994, 0.410023469086153, 0.908741650371918,      0.421987441153261, 0.906506968115566, 0.264427923442986),          PROX_MRT = c(0.5984056038899, 0.5984056038899, 0.52596302633555,          0.554399001312584, 0.544743966599557, 0.78040997284139,          0.91242151857363, 0.907717901248049, 1.09471398918577,          1.09046737609619, 0.86810604264512, 0.80807654444201,          1.15842683571226, 0.633065114071651, 1.14211364891441,          1.23646610314009, 0.669484450879797, 0.516121726350597,          0.626377719466395, 1.392302848886), PROX_PARK = c(0.690393008756984,          0.690393008756984, 0.626908579085899, 0.61263038213259,          0.578916018382343, 0.808282577864154, 1.09293299728603,          0.510337594738446, 0.826294351272671, 0.604882226694947,          0.452373350223662, 1.13130385684233, 1.00657829367171,          0.822296725898933, 0.997953552798557, 0.375073916060521,          0.197084482081202, 1.01560706627581, 0.106198450905693,          0.728383914708498), PROX_GOOD_PRISCH = c(1.38840710840139,          1.38840710840139, 1.44855804010835, 1.40421671412888,          1.40445923276907, 1.199846441039, 1.4206810513637, 1.05242409875061,          0.993301788551023, 0.87937610392538, 1.15234422615158,          1.51127824976447, 1.12709017589061, 1.88031331185984,          1.15731102426836, 0.706117631385061, 1.59153495480405,          1.81228643023267, 1.71137279935344, 0.689163418131917         ), PROX_MALL = c(0.638527944164543, 0.638527944164543,          0.644656189163291, 0.685823836221668, 0.685950169481642,          0.663851500718272, 0.220538248250442, 0.756051767526383,          0.450275200033962, 0.441232897113797, 0.907839978504126,          0.114469773448463, 0.464767570965945, 0.43093778326398,          0.441630162720786, 0.445899708163642, 0.873569112263515,          0.231229629812008, 0.808294932987377, 0.12742430838485         ), PROX_CHAS = c(0.0819899420632749, 0.0819899420632749,          0.155315138624813, 0.151788880767358, 0.170954716034814,          0.0710453772718398, 0.0703959269798554, 3.39583191183935e-08,          0.071192987667569, 0.177420148260447, 0.116614388177292,          0.0793642323922721, 0.272565000598528, 0.0390568763467083,          0.327465416824022, 0.0764125853219005, 0.454068185577158,          0.23122963873357, 0.415210445937219, 0.127424254451578         ), PROX_SUPERMARKET = c(0.123486578338512, 0.123486578338512,          0.18505229065347, 0.152401712794372, 0.171715993026927,          0.00115080458448496, 0.220538485726081, 0.350225948243757,          0.330151298165832, 0.320748009942088, 0.458729641056945,          0.114469867006585, 0.464768447350912, 0.430936681100737,          0.441631117888638, 0.158655939798418, 0.717910522287554,          0.231228589734032, 0.675617328849562, 0.129189539659537         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 0L, 0L, 1L, 1L, 2L, 1L, 1L, 0L, 2L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 1L, 2L, 2L, 4L,          2L, 3L, 4L, 5L, 2L, 4L, 1L, 4L, 1L, 5L, 1L, 5L, 1L, 6L         ), WITHIN_350M_BUS = c(10L, 10L, 10L, 12L, 14L, 12L,          13L, 10L, 15L, 11L, 10L, 10L, 15L, 11L, 13L, 8L, 5L,          9L, 8L, 13L), WITHIN_1KM_PRISCH = c(5L, 5L, 6L, 6L, 5L,          4L, 6L, 4L, 4L, 5L, 4L, 6L, 4L, 6L, 4L, 5L, 3L, 5L, 4L,          4L), DNeighbour = c(0, 9.13651213882681, 75.9753004654837,          80.5733668744772, 115.425992741234, 187.654986615703,          444.417794354916, 454.853252217019, 494.882254291694,          504.118432669844, 524.02154267908, 531.47133903004, 588.957120660324,          615.269728311121, 632.841548760756, 692.034951488515,          709.594633510307, 728.917682441061, 764.534449153266,          792.099909174864)), row.names = c("494", "591", "668",      "447", "560", "967", "627", "129", "513", "292", "921", "866",      "577", "364", "718", "755", "273", "317", "785", "771"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999733926239096, 0.98168476180829, 0.979412652630958, 0.957981399522828,      0.890899054886541, 0.469510732908527, 0.449237222949056,      0.371684463899416, 0.353969285499818, 0.316224575908038,      0.302286559577392, 0.199942993997182, 0.157329181398611,      0.13082136343144, 0.0560261669074111, 0.0389948083650402,      0.0234605654545691, 0.00467717757951088, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       697192568 
R squared (OOB):                  0.2661863 

$Forests[[495]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 405000, 420000,      405000, 410000, 415000, 395000, 450000, 448000, 430000, 393000,      455000, 360000, 380000, 380000, 367000, 362500, 412000, 390000,      495000), floor_area_sqm = c(104, 104, 112, 105, 106, 103,      106, 106, 116, 107, 103, 113, 84, 106, 107, 104, 103, 104,      109, 93), storey_order = c(2L, 2L, 4L, 3L, 2L, 3L, 2L, 4L,      3L, 4L, 2L, 5L, 3L, 1L, 2L, 1L, 3L, 2L, 1L, 2L), remaining_lease_mths = c(861,      862, 866, 856, 871, 834, 834, 834, 827, 868, 818, 824, 811,      887, 871, 879, 819, 878, 889, 1131), PROX_CBD = c(15.4019609662575,      15.4019609662575, 15.3605597168545, 15.3605597168545, 15.428944563277,      15.1256206124729, 15.1256206124729, 15.1256206124729, 15.1039483662242,      15.2985874116244, 14.8805910833212, 14.8805910833212, 14.7472020389823,      15.0291078847704, 15.2330821453909, 14.66420827852, 14.3801998083441,      14.1313829663274, 14.7712425946156, 14.1234549986629), PROX_ELDERLYCARE = c(1.7026350967472,      1.7026350967472, 1.7630974884403, 1.7630974884403, 1.63977306379889,      1.5866097118695, 1.5866097118695, 1.5866097118695, 1.55233595008815,      1.41400995500373, 1.53481387371296, 1.53481387371296, 1.19052284520552,      1.09928331705025, 1.22808745848404, 0.719957479461771, 0.709377020411434,      0.836104821253693, 0.729534612359916, 1.35242241046818),          PROX_HAWKER = c(0.985391408166863, 0.985391408166863,          0.874437271649647, 0.874437271649647, 1.09717995764468,          0.674198133913936, 0.674198133913936, 0.674198133913936,          0.672854909342646, 1.16406043263713, 0.395563323563994,          0.395563323563994, 0.606039227085063, 1.15922930524208,          1.40985252978436, 1.17971772396452, 0.928921275219278,          0.73352935155883, 1.70286767909083, 0.458626901673037         ), PROX_MRT = c(1.24252861976923, 1.24252861976923, 1.13238128237287,          1.13238128237287, 1.35104476777798, 0.930587839854138,          0.930587839854138, 0.930587839854138, 0.927742831261867,          1.40304810962874, 0.650195396152393, 0.650195396152393,          0.807097621625513, 1.36685465541241, 1.62235809597188,          1.12495588646837, 1.02650412956774, 0.735653331318593,          1.0665313702167, 0.250036690549804), PROX_PARK = c(0.934356673366442,          0.934356673366442, 0.852232892319188, 0.852232892319188,          1.02148060415503, 0.625625874274951, 0.625625874274951,          0.625625874274951, 0.613453702116727, 0.98341166564854,          0.355836862982211, 0.355836862982211, 0.432698189125414,          0.808345234949979, 0.633472210001671, 0.823954351824118,          0.71485218383349, 0.463826523913091, 0.405128535389849,          0.469588575534173), PROX_GOOD_PRISCH = c(3.78947597459801,          3.78947597459801, 3.77322944876988, 3.77322944876988,          3.79601078940401, 3.54140201350838, 3.54140201350838,          3.54140201350838, 3.51513652285447, 3.64472604970499,          3.33079371618761, 3.33079371618761, 3.13467644284063,          3.36640767040689, 3.56691345353299, 2.99834463762659,          2.72778429145315, 2.52734391167264, 3.13265552080448,          2.69456588548322), PROX_MALL = c(0.656741946143406, 0.656741946143406,          0.502295694435402, 0.502295694435402, 0.809004632748584,          0.445444903624544, 0.445444903624544, 0.445444903624544,          0.472438990852491, 0.597111778941966, 0.390496575840073,          0.390496575840073, 0.738705771798207, 0.486526360127578,          0.253259472709144, 0.669111824361406, 0.949257633150117,          0.66282583229379, 0.541352629222412, 0.232476208076891         ), PROX_CHAS = c(0.478794864158343, 0.478794864158343,          0.563239471741591, 0.563239471741591, 0.352996738297868,          0.387886097439527, 0.387886097439527, 0.387886097439527,          0.353464796953762, 0.0911939042613644, 0.448788349522024,          0.448788349522024, 0.19051372613691, 0.228652490110126,          0.210576528602503, 0.38494516455544, 0.453083161817035,          0.528800676490504, 0.220588325506638, 0.147334233235439         ), PROX_SUPERMARKET = c(0.1489144838969, 0.1489144838969,          0.187279197917694, 0.187279197917694, 0.252078878715955,          0.411626017932148, 0.411626017932148, 0.411626017932148,          0.429218479578941, 0.408284988301129, 0.447693008221967,          0.447693008221967, 0.326764101800336, 0.234691730121176,          0.21397076195142, 0.384052647553184, 0.513065398645433,          0.528799775767506, 0.49532093691776, 0.147334782275979         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 2L,          2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 1L, 0L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 2L, 2L,          2L, 2L, 2L, 1L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L         ), WITHIN_350M_BUS = c(9L, 9L, 10L, 10L, 11L, 6L, 6L,          6L, 7L, 13L, 5L, 5L, 9L, 8L, 12L, 7L, 2L, 6L, 8L, 13L         ), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 2L, 3L, 3L, 3L,          3L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 1L, 1L),          DNeighbour = c(0, 8.05263394121494, 155.445283164293,          156.041345785334, 158.300843215531, 304.76329691205,          306.117852347635, 311.771954970881, 321.147788407579,          395.024681737795, 588.445577319999, 595.441595874435,          653.728251437296, 661.935700272725, 747.05032677784,          988.879093841557, 1091.34209039853, 1267.36566910085,          1348.88130247136, 1401.97652735533)), row.names = c("495",      "406", "782", "994", "899", "233", "483", "457", "188", "934",      "639", "852", "136", "314", "428", "686", "3", "695", "527",      "212"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999934019247963,      0.975564238280644, 0.975377648877393, 0.974664024007762,      0.907723849076798, 0.90692183326741, 0.903539606821121, 0.897809134879076,      0.847522376029135, 0.678696425746087, 0.671771176032713,      0.612420853758821, 0.603852457033092, 0.512749735118541,      0.252492641112866, 0.1552715147741, 0.0334199441673096, 0.00552184549470651,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1144608409 
R squared (OOB):                  0.03737518 

$Forests[[496]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 420000, 420000,      365000, 390000, 340000, 4e+05, 358888, 335000, 345000, 370000,      446000, 304000, 316000, 342000, 365000, 380000, 428000, 360000,      388000), floor_area_sqm = c(100, 90, 99, 95, 104, 104, 97,      91, 90, 92, 104, 107, 104, 104, 94, 107, 102, 98, 103, 103     ), storey_order = c(1L, 2L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 2L,      2L, 3L, 2L, 1L, 1L, 1L, 2L, 3L, 1L, 3L), remaining_lease_mths = c(944,      925, 929, 735, 763, 772, 734, 763, 731, 742, 763, 783, 776,      777, 747, 766, 938, 730, 777, 935), PROX_CBD = c(13.1525533734461,      12.960867808991, 13.2222340992065, 13.3652677077184, 13.1145091682395,      13.1145091682395, 13.4040436118709, 13.6826822978472, 13.8901285505698,      13.8901285505698, 13.075732494377, 13.1163383572019, 13.8730731524118,      13.8730731524118, 13.7770670669378, 13.578535689825, 12.4172252614445,      14.0949321583848, 13.7231688188033, 12.2384019056968), PROX_ELDERLYCARE = c(0.640770029240432,      0.579007844644764, 0.385934705647939, 0.876024529291782,      0.233566729538939, 0.233566729538939, 0.954835536666776,      0.000158780971194199, 0.540311266279695, 0.540311266279695,      0.206309775801723, 0.258125844069092, 0.192118066579221,      0.192118066579221, 0.919307603677702, 0.535215785060316,      0.466477120293287, 1.07365166923746, 0.681177733621966, 0.481492260541915     ), PROX_HAWKER = c(0.959649545299011, 1.16344345150942, 1.08380419022874,      0.775887609068758, 1.24018164124527, 1.24018164124527, 0.780321580506598,      0.699744847940348, 0.213123049695643, 0.213123049695643,      1.2806114078583, 1.23349193679857, 0.635045114374877, 0.635045114374877,      0.478671478091809, 0.775756145922257, 1.89270186421095, 0.516176882783883,      0.601426993813282, 2.08679181031876), PROX_MRT = c(0.944408516927639,      0.899387073359532, 0.503688459146237, 0.585785046275015,      0.402767024758649, 0.402767024758649, 0.515309591544804,      0.751023886560838, 0.793013171832836, 0.793013171832836,      0.218393806785847, 0.166998983475289, 0.865482366580506,      0.865482366580506, 0.771349314593772, 0.357978123578611,      0.847625669994717, 0.499812381699912, 0.498221170198522,      1.00400763232319), PROX_PARK = c(1.65277848527316, 1.44660566239193,      1.61082819122054, 1.30724345285799, 1.4917670023494, 1.4917670023494,      1.22140134317452, 1.77145949687945, 1.23128896715218, 1.23128896715218,      1.31516124688894, 1.28385310080255, 1.73324375775577, 1.73324375775577,      0.941140572803456, 1.33984402369384, 0.790049777369869, 0.62523741493865,      1.26781451063295, 0.617440020241687), PROX_GOOD_PRISCH = c(2.95137840528657,      2.82458087567675, 3.2388029474634, 2.95461231779958, 3.15473759747012,      3.15473759747012, 2.95770979509606, 3.58938982364218, 3.56420611596829,      3.56420611596829, 3.06740437701091, 3.10133739012884, 3.76914808697313,      3.76914808697313, 3.3146343023011, 3.55013641033528, 2.44639044951476,      3.57828936266804, 3.673854441535, 2.2532718981807), PROX_MALL = c(0.703422933264244,      0.695129776671669, 0.587950861513872, 0.473263954532778,      0.504156272689578, 0.504156272689578, 0.412160376682232,      0.770100764029299, 1.05377974643614, 1.05377974643614, 0.332903613799786,      0.281310431650798, 0.861712986146148, 0.861712986146148,      0.672803550263317, 0.305514521023982, 0.95273084922996, 0.812049880186,      0.406890039239853, 1.10261213560447), PROX_CHAS = c(0.1365287941905,      0.341366062526918, 0.151225190585885, 0.179342279988699,      0.11048408202451, 0.11048408202451, 0.240863562772424, 0.110149755252424,      0.0812638133573676, 0.0812638133573676, 0.122328851042638,      0.155371621529032, 0.0967538959757692, 0.0967538959757692,      0.0886717393158711, 0.282171570268124, 0.132703338642494,      0.135156069731972, 0.176857487498571, 0.187666753228527),          PROX_SUPERMARKET = c(0.688592108834651, 0.668273194253219,          0.459946280432931, 0.487840963146543, 0.362446168440829,          0.362446168440829, 0.422907964790702, 0.11210687568128,          0.082811926566736, 0.082811926566736, 0.193246634773484,          0.141466460051892, 0.094684564379848, 0.094684564379848,          0.334979160094168, 0.281417393052806, 0.453312253927337,          0.352618767904154, 0.270532795629183, 0.388917381074845         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 0L, 0L,          1L, 2L, 1L, 1L, 0L, 0L, 2L, 2L, 1L, 1L, 0L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 1L, 5L, 6L, 6L, 6L,          5L, 3L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 4L, 3L, 1L, 4L, 2L         ), WITHIN_350M_BUS = c(6L, 2L, 8L, 6L, 7L, 7L, 6L, 9L,          4L, 4L, 10L, 9L, 8L, 8L, 10L, 10L, 9L, 9L, 8L, 10L),          WITHIN_1KM_PRISCH = c(2L, 3L, 4L, 2L, 3L, 3L, 2L, 2L,          4L, 4L, 3L, 3L, 2L, 2L, 2L, 4L, 2L, 2L, 3L, 2L), DNeighbour = c(0,          206.220608675508, 447.154573866601, 496.684897244524,          554.470164372939, 557.488134802939, 600.20104295642,          641.963927525353, 749.155804056109, 749.455795607123,          786.676844080236, 817.188653109943, 821.996188640078,          824.233568185936, 824.645449139442, 969.840696774781,          991.69413374582, 1173.14262699769, 1174.53036700493,          1181.83177093251)), row.names = c("496", "831", "350",      "238", "164", "844", "757", "1000", "90", "214", "929", "105",      "36", "230", "337", "856", "296", "25", "960", "399"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.940031891482111, 0.734184759510106, 0.677947453772119,      0.60822424708043, 0.604482413040682, 0.55068523870768, 0.496940795353012,      0.357817733867196, 0.3574327603482, 0.31016072166888, 0.272362844822854,      0.266505657769375, 0.263789897958572, 0.263290665712521,      0.10665097571221, 0.0875473859587004, 0.000214636569961229,      0.000151730950550174, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1088163271 
R squared (OOB):                  0.2766457 

$Forests[[497]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(312000, 320000, 330000,      345888, 306000, 4e+05, 373000, 398000, 410000, 420000, 435000,      395000, 425000, 410000, 320000, 418000, 345000, 455000, 465000,      365000), floor_area_sqm = c(107, 104, 107, 104, 109, 92,      92, 92, 92, 92, 92, 107, 93, 93, 104, 112, 95, 106, 106,      91), storey_order = c(1L, 2L, 3L, 4L, 1L, 1L, 1L, 2L, 3L,      5L, 4L, 2L, 4L, 4L, 2L, 5L, 3L, 4L, 2L, 4L), remaining_lease_mths = c(779,      779, 776, 763, 773, 1127, 1128, 1136, 1131, 1134, 1129, 755,      1126, 1117, 772, 904, 1003, 933, 933, 1061), PROX_CBD = c(16.6890813896757,      16.6890813896757, 16.4773488158513, 16.5598581376431, 16.2343575305192,      17.1731083577317, 17.1731083577317, 17.26435404508, 17.2397585888566,      17.2397585888566, 17.2397585888566, 15.936744569076, 17.3263676504413,      17.3263676504413, 16.0390890659677, 17.2048826778539, 17.7047470513727,      17.1634204962367, 17.1401277939721, 17.5974072281911), PROX_ELDERLYCARE = c(0.296144426041885,      0.296144426041885, 0.393080972860029, 0.633922933695123,      0.63095091801206, 0.456899326246073, 0.456899326246073, 0.542806768712765,      0.500148198332671, 0.500148198332671, 0.500148198332671,      0.526555480516014, 0.561119780492452, 0.561119780492452,      0.520751571920202, 0.400468425457175, 0.933045885854195,      0.565792923614884, 0.586863575497558, 0.819477307137174),          PROX_HAWKER = c(0.360513691606501, 0.360513691606501,          0.170796598263111, 0.402483389428837, 0.355821892612055,          0.507233229895407, 0.507233229895407, 0.598096651463893,          0.55990768529081, 0.55990768529081, 0.55990768529081,          0.44834457013621, 0.631285601786086, 0.631285601786086,          0.601123999453785, 0.498365875295267, 1.00938993481846,          0.666841975849823, 0.685044657792881, 0.922900854400271         ), PROX_MRT = c(0.937471590679814, 0.937471590679814,          0.826410504821953, 1.05011238745279, 0.864165890870668,          1.18009183772516, 1.18009183772516, 1.20599959693509,          1.16124452414741, 1.16124452414741, 1.16124452414741,          0.239432195714991, 1.13344401626098, 1.13344401626098,          0.965829261077996, 0.87869292375624, 1.29287496569192,          0.463116738810145, 0.418422993771755, 0.830609903675807         ), PROX_PARK = c(1.20981147430356, 1.20981147430356,          1.2054653508424, 1.45762221914422, 1.34373269803231,          1.02763138312455, 1.02763138312455, 0.937816003807321,          0.959994438388966, 0.959994438388966, 0.959994438388966,          0.747611444367071, 0.872985599051717, 0.872985599051717,          1.48305338833506, 0.9054780070858, 0.495314460898113,          0.505224516024672, 0.454841043819919, 0.751240825934154         ), PROX_GOOD_PRISCH = c(6.16175607197734, 6.16175607197734,          5.97835326648125, 6.10793998843997, 5.7932792467937,          6.57664814247058, 6.57664814247058, 6.66937916554136,          6.64012383316355, 6.64012383316355, 6.64012383316355,          5.39194564581962, 6.72174636420399, 6.72174636420399,          5.64743379607767, 6.57740517739392, 7.10206992983331,          6.50789265243056, 6.48254224033906, 6.95474206477502),          PROX_MALL = c(0.571849863617429, 0.571849863617429, 0.76724723438711,          0.973625110866692, 1.10378372306907, 0.392080122681935,          0.392080122681935, 0.484724019608978, 0.450738515511335,          0.450738515511335, 0.450738515511335, 0.942416713928675,          0.530342726071102, 0.530342726071102, 1.36185056241102,          0.446026044391999, 0.790613232916467, 0.353588302636786,          0.306862579253759, 0.757845794253982), PROX_CHAS = c(0.332465298200207,          0.332465298200207, 0.09463300161804, 0.306725496117186,          0.289709096170644, 0.214971829128206, 0.214971829128206,          0.270084445320348, 0.221318263528924, 0.221318263528924,          0.221318263528924, 0.145251548786172, 0.254413742194056,          0.254413742194056, 0.205355834952608, 0.130380344727655,          0.40646651865696, 0.171584438209325, 0.133156315003352,          0.175468897673469), PROX_SUPERMARKET = c(0.204374831829505,          0.204374831829505, 0.108262733037825, 0.252218317780421,          0.132128014198024, 0.391090025360665, 0.391090025360665,          0.483753219919624, 0.449846933875903, 0.449846933875903,          0.449846933875903, 0.434198104817495, 0.529573977763673,          0.529573977763673, 0.352842931529878, 0.445962312606475,          0.260900811674997, 0.320581809168482, 0.27639551573194,          0.336744227428862), WITHIN_350M_KINDERGARTEN = c(3L,          3L, 3L, 2L, 0L, 2L, 2L, 2L, 2L, 2L, 2L, 0L, 2L, 2L, 1L,          3L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          6L, 5L, 8L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 3L, 3L, 6L, 2L,          2L, 4L, 3L, 3L), WITHIN_350M_BUS = c(9L, 9L, 9L, 5L,          9L, 8L, 8L, 6L, 6L, 6L, 6L, 7L, 5L, 5L, 7L, 8L, 6L, 8L,          7L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 3L, 2L, 2L, 2L,          2L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 2L, 3L, 3L, 4L, 4L, 4L         ), DNeighbour = c(0, 4.9631410274615, 257.164446423236,          408.384658459913, 608.385157208546, 661.623115537961,          661.83242235028, 722.058274266319, 724.927331434297,          726.188488246012, 729.483058466237, 773.546904975485,          820.195839772412, 822.387572227564, 869.865280685654,          914.986713669123, 1117.81462959059, 1250.70059059929,          1284.39650128526, 1304.72792524966)), row.names = c("497",      "328", "107", "883", "468", "507", "985", "847", "86", "280",      "290", "423", "925", "797", "751", "889", "631", "991", "530",      "720"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999971059890522,      0.92381088495572, 0.813655754714522, 0.61241749847725, 0.551830612537098,      0.55158887832225, 0.48126119148622, 0.477883500725887, 0.476398302442016,      0.472517244585729, 0.420543788237977, 0.365806955192564,      0.363253248093032, 0.308588990683052, 0.258265932783459,      0.0707527604143569, 0.00657771009068028, 0.000956228330013902,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1232036057 
R squared (OOB):                  0.4915683 

$Forests[[498]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(333000, 385000, 355000,      340888, 335000, 415000, 417000, 320000, 355000, 345000, 365000,      390000, 325000, 363000, 388000, 295000, 350000, 370000, 325000,      310000), floor_area_sqm = c(108, 104, 104, 107, 114, 104,      92, 106, 106, 104, 104, 126, 90, 104, 104, 105, 104, 103,      104, 104), storey_order = c(4L, 1L, 4L, 4L, 3L, 2L, 2L, 1L,      1L, 4L, 2L, 2L, 4L, 5L, 6L, 1L, 2L, 4L, 1L, 1L), remaining_lease_mths = c(895,      863, 882, 883, 904, 875, 1120, 851, 825, 862, 828, 879, 912,      918, 904, 870, 863, 881, 872, 879), PROX_CBD = c(16.5397910410307,      16.2492480828887, 16.7669966667855, 16.7669966667855, 16.3642048862006,      15.8781143296649, 16.7161737209409, 15.9983120826665, 15.6983328737326,      16.2035530975804, 15.6198573118901, 16.1769042321823, 16.3759795802925,      16.295166477654, 16.3777502460772, 16.027241877126, 15.9139497277605,      15.9139497277605, 15.9652370890998, 15.9652370890998), PROX_ELDERLYCARE = c(0.706939892416911,      0.836071823435323, 0.121542639162494, 0.121542639162494,      0.361422596457277, 0.633288957745621, 9.26628957858198e-07,      0.541237256511776, 0.587171684565488, 0.462412199513001,      0.497975502399054, 0.382017171357745, 0.437652472603004,      0.514795208711411, 0.465083314136851, 0.401697186037664,      0.471057675436291, 0.471057675436291, 0.372962984236141,      0.372962984236141), PROX_HAWKER = c(2.14655926815246, 2.17952287051713,      2.05474291859885, 2.05474291859885, 1.67761333691466, 1.79301822351461,      1.96687058888139, 2.1818192257633, 1.64071314431986, 2.51024920878341,      1.6566914426712, 2.55739022352562, 2.71828200917597, 1.47281657351752,      1.54627052523026, 2.44772974464855, 2.34701070601947, 2.34701070601947,      2.45115541279444, 2.45115541279444), PROX_MRT = c(0.460645764817668,      0.290093838525113, 0.53300655679357, 0.53300655679357, 0.653367521351592,      0.159697283923578, 0.427108887982576, 0.364450998520493,      0.341199960643831, 0.65447898159524, 0.297714051615291, 0.674610535324426,      0.870089952652958, 0.504795745143921, 0.419412974707088,      0.538616250543522, 0.424613907535265, 0.424613907535265,      0.52727924180445, 0.52727924180445), PROX_PARK = c(0.711243459523284,      0.886796559947336, 0.722711239268322, 0.722711239268322,      0.32735774848914, 0.678969217742802, 0.688779163701323, 1.05372411430502,      0.686441032296595, 1.32632916723033, 0.782164021798725, 1.39748820590438,      1.49155883505512, 0.48638578612152, 0.571339732684777, 1.35146177086674,      1.30337713627377, 1.30337713627377, 1.39203600576681, 1.39203600576681     ), PROX_GOOD_PRISCH = c(6.77397603493671, 6.4097782056775,      7.13952904562396, 7.13952904562396, 6.76031366250815, 6.09357654169244,      7.12110535783693, 6.12314921566155, 5.93514971647738, 6.27623366830878,      5.84268664292306, 6.23706483495109, 6.4246273009838, 6.80828229467371,      6.89348817522951, 6.09534233388474, 5.99275530970335, 5.99275530970335,      6.02718330754398, 6.02718330754398), PROX_MALL = c(0.345326846187852,      0.355568776497803, 0.27529824968273, 0.27529824968273, 0.388175183991252,      0.145699923430919, 0.337595745740984, 0.45623102577182, 0.310729806849059,      0.370949542105629, 0.394873468760787, 0.292722816398213,      0.409369768138594, 0.510483215269896, 0.427317836890542,      0.275346491924215, 0.338688619983659, 0.338688619983659,      0.238316612740974, 0.238316612740974), PROX_CHAS = c(0.286223989121013,      0.121251060497272, 0.222759343861358, 0.222759343861358,      0.380772978950647, 0.0723222156351423, 0.279591917356114,      0.290215734280461, 0.261893114523038, 0.370949494121523,      0.28481487293308, 0.292722768811081, 0.409369730284335, 0.513107963149175,      0.429996386722335, 0.275346446899555, 0.338688583692834,      0.338688583692834, 0.238316573509266, 0.238316573509266),          PROX_SUPERMARKET = c(0.377165028023417, 0.350013224352412,          0.243987988302975, 0.243987988302975, 0.422789252098693,          0.157892159590583, 0.344537051235884, 0.162067612034701,          0.322774913149109, 0.235998227482853, 0.407244625741832,          0.254565333705719, 0.389543937857684, 0.471223408024363,          0.386156989530241, 0.141316208924405, 0.112474666082431,          0.112474666082431, 0.177610526119132, 0.177610526119132         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 2L, 2L, 1L, 0L,          1L, 1L, 1L, 3L, 1L, 5L, 2L, 0L, 0L, 3L, 3L, 3L, 3L, 3L         ), WITHIN_350M_CHILDCARE = c(1L, 4L, 5L, 5L, 4L, 3L,          6L, 6L, 4L, 5L, 3L, 8L, 2L, 3L, 3L, 8L, 9L, 9L, 6L, 6L         ), WITHIN_350M_BUS = c(2L, 9L, 11L, 11L, 6L, 7L, 12L,          12L, 8L, 7L, 9L, 9L, 5L, 7L, 8L, 12L, 15L, 15L, 14L,          14L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L, 4L,          3L, 3L, 3L, 3L, 3L, 2L, 3L, 4L, 3L, 3L, 3L, 3L, 3L),          DNeighbour = c(0, 462.338220927398, 613.241694207635,          616.761049600085, 622.278205155783, 683.689769886315,          707.932615644939, 780.400280017458, 849.040583465229,          894.001255874326, 935.971335792684, 968.82965816116,          975.874150018501, 1002.03887418742, 1002.8120027551,          1004.69645269639, 1018.362223704, 1021.16897043226, 1065.11946870076,          1066.96896088739)), row.names = c("498", "711", "898",      "673", "252", "510", "261", "888", "196", "806", "304", "54",      "974", "451", "820", "463", "959", "927", "566", "490"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.659724724412357, 0.44844592757544, 0.443367656106467, 0.435407051731813,      0.3473972114365, 0.313341729974128, 0.216250800253918, 0.134528953744046,      0.0887697300499896, 0.0531197118317254, 0.0307998374584314,      0.0267208434971949, 0.0139254453679795, 0.0136059591739085,      0.0128417675867951, 0.00792749308396386, 0.00705735554736091,      1.19979842149349e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1436690944 
R squared (OOB):                  -0.3067863 

$Forests[[499]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418000, 380000, 4e+05,      390000, 418000, 350888, 398000, 340000, 4e+05, 4e+05, 735000,      380000, 350000, 660000, 680000, 390000, 465000, 676000, 663000,      655000), floor_area_sqm = c(92, 92, 92, 92, 91, 93, 92, 92,      98, 104, 97, 93, 91, 87, 87, 92, 104, 87, 87, 87), storey_order = c(4L,      4L, 4L, 1L, 5L, 3L, 3L, 1L, 4L, 2L, 6L, 3L, 4L, 3L, 6L, 1L,      3L, 3L, 4L, 5L), remaining_lease_mths = c(691, 695, 690,      711, 774, 712, 714, 699, 718, 751, 1066, 724, 741, 1066,      1076, 685, 760, 1120, 1124, 1121), PROX_CBD = c(9.61422948612377,      9.61422948612377, 9.59976569988281, 9.71066487891121, 9.35032791665702,      9.68679892421183, 9.95525560808738, 9.97016469840266, 9.5915755681771,      9.83498872427818, 9.96973817000633, 9.50206510185676, 8.70456515841861,      10.1126951054664, 10.1126951054664, 10.3184291669162, 8.64488888098128,      9.49727834386093, 9.49727834386093, 9.49727834386093), PROX_ELDERLYCARE = c(0.28812103687201,      0.28812103687201, 0.239547661796275, 0.385358274245319, 0.227789996497476,      0.35495808488012, 0.150508443509651, 0.14040561650552, 0.558000418748021,      0.611336059876525, 0.560133969723593, 0.619429799229152,      0.1203423949077, 0.511544492658224, 0.511544492658224, 0.724299376510179,      0.17844978767297, 0.735218745429302, 0.735218745429302, 0.735218745429302     ), PROX_HAWKER = c(0.398658919868918, 0.398658919868918,      0.436761476721694, 0.39402887106119, 0.508896406641727, 0.221606053969191,      0.153089379504462, 0.15909114400288, 0.434568479089541, 0.54583502916026,      0.246219700947935, 0.518318645141504, 0.867862446497739,      0.268370020499938, 0.268370020499938, 0.285348407142059,      0.917919654697093, 0.639074974233661, 0.639074974233661,      0.639074974233661), PROX_MRT = c(0.667432439829923, 0.667432439829923,      0.619962862184004, 0.746020760246364, 0.569946398217962,      0.760373725070279, 0.521845664201362, 0.494111782173202,      0.656590823238566, 0.722241727367494, 0.405168801785449,      0.533910829474844, 0.97670571404933, 0.549740095282867, 0.549740095282867,      0.752281430413819, 0.91698472228942, 0.499971219475903, 0.499971219475903,      0.499971219475903), PROX_PARK = c(0.922231693079911, 0.922231693079911,      0.957886982704992, 0.914740437498633, 0.726258134328713,      0.664893225436512, 0.730503149795042, 0.68588072489708, 0.355705093322714,      0.296755194228525, 0.868342722448078, 0.26219477257436, 0.288616932786395,      0.878497256111703, 0.878497256111703, 1.05219739289641, 0.238119977580318,      0.298527066745392, 0.298527066745392, 0.298527066745392),          PROX_GOOD_PRISCH = c(2.38715383730665, 2.38715383730665,          2.35345437748376, 2.31351362539819, 2.41566392235711,          2.17803171840573, 2.01039924795066, 1.97396491196204,          2.11809049366399, 1.88657748145099, 1.55873028154778,          2.18628235132699, 2.418607930925, 1.46177539101005, 1.46177539101005,          1.54472866778257, 2.37381492496372, 2.17599822879711,          2.17599822879711, 2.17599822879711), PROX_MALL = c(0.43353114329251,          0.43353114329251, 0.387669919047214, 0.505770857705003,          0.406203001531397, 0.796976758090547, 0.757457219803541,          0.802483711672914, 1.22478662403239, 1.23747152538927,          0.129560175686973, 1.32833110917602, 0.948870628363287,          0.269774803261538, 0.269774803261538, 0.472532088410597,          1.00281364182829, 1.45007786498113, 1.45007786498113,          1.45007786498113), PROX_CHAS = c(0.28666502826278, 0.28666502826278,          0.263208245292117, 0.255589678637005, 0.146235674893272,          0.0707228333244178, 0.144412947448491, 0.187394625423847,          0.346218272658546, 0.352730820744124, 0.0647243745052949,          0.219477506246216, 0.27140983829104, 0.20472250196774,          0.20472250196774, 0.165961529218061, 0.256340531367836,          0.101351467161616, 0.101351467161616, 0.101351467161616         ), PROX_SUPERMARKET = c(0.396736556610776, 0.396736556610776,          0.44091986097032, 0.363062686357781, 0.347306649978202,          0.128382981112681, 0.204623167766534, 0.215556112381702,          0.300584979098838, 0.324694852199881, 0.241122798862169,          0.191210069763785, 0.221415122113844, 0.35798039621586,          0.35798039621586, 0.447507928623339, 0.24778575064029,          0.0715849245259307, 0.0715849245259307, 0.0715849245259307         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 1L, 1L, 2L,          2L, 2L, 2L, 1L, 0L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 2L, 5L, 3L,          3L, 3L, 5L, 1L, 6L, 6L, 4L, 6L, 6L, 4L, 4L, 6L, 6L, 6L         ), WITHIN_350M_BUS = c(11L, 11L, 11L, 13L, 9L, 10L, 9L,          9L, 5L, 3L, 7L, 2L, 9L, 6L, 6L, 7L, 8L, 4L, 4L, 4L),          WITHIN_1KM_PRISCH = c(4L, 4L, 3L, 4L, 3L, 4L, 4L, 4L,          2L, 3L, 2L, 1L, 2L, 3L, 3L, 5L, 2L, 1L, 1L, 1L), DNeighbour = c(0,          5.51697976272919, 45.0697083452042, 117.246669411653,          283.09720050315, 370.060533524578, 422.825549617262,          456.579547621866, 790.693408312114, 815.02733996174,          833.098425169668, 896.660788658277, 906.33111018947,          929.193690476641, 930.256663964691, 933.838160326667,          969.650690484158, 1019.54242631986, 1020.15617120178,          1023.09768520705)), row.names = c("499", "603", "964",      "776", "37", "946", "971", "211", "746", "659", "471", "539",      "71", "506", "316", "97", "487", "593", "466", "731"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999941844303821, 0.99612257249141, 0.97390630373401, 0.852730031220965,      0.755454396448168, 0.68757239629398, 0.641347213768271, 0.162178901266321,      0.133506393116744, 0.113522808667825, 0.0537740111564105,      0.0463261476235666, 0.0306753127238497, 0.0300174279881024,      0.0278479935757321, 0.010353402543416, 4.81346441007307e-05,      3.29699347258668e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       19602706721 
R squared (OOB):                  -0.02594857 

$Forests[[500]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(445000, 460000, 450000,      485000, 350000, 491000, 347000, 370000, 290000, 455000, 3e+05,      585000, 330000, 285000, 335000, 334008, 370000, 415000, 295000,      390000), floor_area_sqm = c(93, 93, 93, 93, 93, 92, 90, 90,      92, 99, 99, 91, 103, 92, 102, 103, 102, 92, 106, 92), storey_order = c(7L,      7L, 4L, 10L, 3L, 9L, 2L, 3L, 4L, 2L, 1L, 10L, 2L, 1L, 4L,      2L, 3L, 2L, 1L, 1L), remaining_lease_mths = c(1117, 1135,      1131, 1112, 1018, 1137, 971, 977, 690, 951, 697, 995, 937,      697, 940, 917, 927, 1132, 825, 1132), PROX_CBD = c(14.9897790388493,      15.0332592042754, 15.1194109037639, 14.8542518275748, 14.9930585550483,      15.0782917837809, 14.6079806280174, 14.489397367385, 14.8961777358487,      14.3012013074868, 14.8036441916204, 14.2059144167977, 14.5165027597446,      14.6519123293037, 14.4474740114555, 14.2719972222741, 14.12564920201,      14.6122009832922, 14.7220636963442, 14.6424103631698), PROX_ELDERLYCARE = c(0.622451014094897,      0.653175957864657, 0.632846087105322, 0.671766786446111,      0.766085625885291, 0.811417024562957, 0.966138977916587,      0.929205058584809, 0.090689252710872, 0.93663965535868, 0.0965145667339982,      0.923774065318005, 0.389463724969334, 0.254409923718011,      1.50338082315219, 1.50921581969441, 1.44816412197145, 1.68824062303628,      0.327768156942021, 1.72557175775889), PROX_HAWKER = c(0.366862032582334,      0.344843972730765, 0.399490681633122, 0.3485650804915, 0.230353911902381,      0.241120378832392, 0.31691894051251, 0.478869651742105, 1.02395142210687,      0.693090021451824, 1.07372228066705, 0.829910539202106, 1.0617726338971,      1.21550185558774, 0.588144724666333, 0.684102697062058, 0.778468578249857,      0.707122679385598, 1.39864823048803, 0.740384095011384),          PROX_MRT = c(0.550628186781769, 0.587916938270161, 0.674936552563307,          0.41695674877223, 0.545901722651448, 0.604690005035212,          0.188565130994124, 0.0437298005890327, 0.437229774651496,          0.189883903502813, 0.363746184676816, 0.127617925270923,          0.0901878473788138, 0.218405848235923, 0.224566301285939,          0.347262283963267, 0.476637705223286, 0.295449456212788,          0.0523025726452692, 0.312698200175978), PROX_PARK = c(0.886983007034967,          0.858154923175006, 0.773048101136696, 1.00246315577637,          0.937160160632966, 0.889047622652367, 1.07918529837209,          0.935596264101672, 0.600185611341118, 0.812876767906526,          0.497172938499345, 0.716522496183652, 0.278686390612803,          0.325486875199719, 1.55939681176166, 1.38760566459916,          1.20701221478007, 1.76906915549279, 0.432331111477529,          1.78460824921244), PROX_GOOD_PRISCH = c(5.61521578968116,          5.67093979106873, 5.74516136190441, 5.49301939379528,          5.6774973866509, 5.77803713337603, 5.35450137646782,          5.1963266927986, 5.28070608730985, 4.98177209241419,          5.17691715074399, 4.85056771881294, 4.93093863547281,          4.99149337529414, 5.45861643017911, 5.26118802945754,          5.06260566207177, 5.7298925008129, 4.99661753747661,          5.77937603269072), PROX_MALL = c(0.615054651957031, 0.671424081833306,          0.744876648240093, 0.497662931100388, 0.691703794200818,          0.79347213158724, 0.479398555662368, 0.345992784345898,          0.252669380741675, 0.236735170365795, 0.278400001713995,          0.148456555084967, 0.38830118917563, 0.377416550632833,          0.12145856762689, 0.108121271181015, 0.287395381957405,          0.426875162675013, 0.343882807046916, 0.482269498416602         ), PROX_CHAS = c(0.101756162724623, 0.0438337826764906,          0.0812821875339188, 0.139715392485403, 0.094086780959658,          0.128222338920945, 0.166948923507452, 3.77135010377852e-08,          0.252669404800451, 0.214782230853987, 0.190291087196022,          0.148456588323488, 0.0918929757518676, 0.0736014920224838,          0.121458549123021, 0.108121286081234, 0.182188888557241,          0.270793953405505, 0.141205029857343, 0.280031834846542         ), PROX_SUPERMARKET = c(0.215874380558773, 0.238848984717478,          0.325050502595441, 0.118312809115248, 0.189746195069109,          0.286089695736963, 0.218811722485387, 0.31785895032531,          0.186322037460738, 0.172194506074768, 0.190291125096353,          0.154204342539502, 0.354026220875794, 0.128878263549785,          0.134916350552101, 0.105248463653719, 0.277268812686258,          0.270794118098451, 0.141204847242777, 0.280032026158491         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 1L, 1L,          2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 3L,          2L, 5L, 3L, 6L, 3L, 7L, 5L, 3L, 5L, 4L, 3L, 5L, 3L, 3L         ), WITHIN_350M_BUS = c(11L, 10L, 12L, 11L, 11L, 10L,          13L, 13L, 7L, 15L, 9L, 17L, 7L, 9L, 11L, 10L, 10L, 6L,          8L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 4L, 4L,          5L, 5L, 3L, 3L, 3L, 3L, 2L, 3L, 5L, 5L, 5L, 4L, 2L, 3L         ), DNeighbour = c(0, 54.943508280404, 130.423410848632,          137.870405180027, 142.975113496924, 220.520809502617,          434.359200943535, 510.201009211129, 684.805042737822,          693.804687900806, 751.937953920974, 800.620653438268,          802.553229120834, 912.483426296628, 914.701709573832,          964.877885450418, 1000.21082562616, 1067.16993220286,          1078.56529434847, 1104.11169248867)), row.names = c("500",      "865", "299", "159", "836", "568", "385", "374", "87", "717",      "995", "146", "592", "986", "826", "381", "703", "489", "786",      "323"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.995053492272846,      0.972287577706586, 0.969058102518606, 0.966744131978429,      0.921809606801557, 0.714422638441209, 0.618536833077444,      0.378609683358803, 0.366188586877037, 0.287502136653805,      0.224857626832993, 0.222453764840986, 0.100485761370866,      0.098388887940886, 0.0558411001609416, 0.0321670260504471,      0.00432927775070216, 0.00209211838236043, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4288444997 
R squared (OOB):                  0.3521416 

$Forests[[501]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 388000, 350880,      430000, 315000, 338000, 410000, 421000, 670000, 425000, 323000,      392000, 7e+05, 348000, 309000, 445000, 345000, 540000, 415000,      463888), floor_area_sqm = c(104, 104, 91, 91, 91, 93, 93,      93, 92, 108, 92, 103, 92, 93, 91, 100, 91, 92, 92, 95), storey_order = c(4L,      3L, 2L, 4L, 1L, 5L, 4L, 4L, 5L, 3L, 2L, 2L, 4L, 4L, 2L, 3L,      3L, 6L, 2L, 1L), remaining_lease_mths = c(740, 751, 785,      777, 790, 860, 788, 789, 1121, 820, 690, 833, 1126, 777,      774, 949, 773, 1142, 1130, 1140), PROX_CBD = c(10.2659136784881,      10.2659136784881, 10.3813809316332, 10.4167519306418, 10.6917699702976,      9.71808261065178, 10.7402382849343, 10.8005053894847, 11.0595651330709,      10.7884209511687, 9.445702961959, 10.8307618753175, 11.1573644039326,      9.5834162789491, 9.64616581570663, 9.38671442358298, 9.63489497584329,      11.3687765497058, 11.3687765497058, 11.4133195883395), PROX_ELDERLYCARE = c(0.737818764037149,      0.737818764037149, 0.833489789321986, 0.852176862644424,      1.07660186858624, 0.288600487645686, 1.05196585123006, 1.11154389564577,      1.41694161867716, 1.11323464510705, 0.0646727834979237, 1.12487398858542,      1.34447435494956, 0.221128007339761, 0.306199433665808, 0.197320443098403,      0.42629854090558, 1.27208236570677, 1.27208236570677, 1.61512702812623     ), PROX_HAWKER = c(1.65941342147148, 1.65941342147148, 1.5910354083573,      1.55256346901264, 1.35937058559257, 1.10941781168001, 1.02652926791064,      0.918995125488027, 1.19495083476736, 0.812377793689625, 0.802499530175562,      0.775872885593274, 1.10011050744246, 0.844035637065003, 0.906506968115566,      0.671765492644128, 0.908741650371918, 1.07923254025891, 1.07923254025891,      1.4377955077332), PROX_MRT = c(0.684374477874155, 0.684374477874155,      0.699917284291438, 0.686459009674335, 0.753106278920522,      0.750225097750018, 0.546812793492647, 0.566932323762424,      0.991329354536752, 0.526269526678983, 0.834535111428891,      0.568072215940967, 0.876646963171676, 0.679762822214213,      0.626377719466395, 0.671695564859285, 0.669484450879797,      0.671331594421278, 0.671331594421278, 0.8250506195824), PROX_PARK = c(0.570788416471153,      0.570788416471153, 0.616002692100522, 0.613918856542286,      0.536819237128991, 0.552878075981585, 0.401614025373747,      0.370936327890873, 0.275833477585303, 0.467051942358664,      0.508498628446561, 0.443949121553361, 0.189026691537682,      0.171128410914521, 0.106198450905693, 0.409638708762546,      0.197084482081202, 0.294690087030438, 0.294690087030438,      0.60176146852012), PROX_GOOD_PRISCH = c(2.58742850928016,      2.58742850928016, 2.6286340652406, 2.62113030487697, 2.68318776685765,      2.3197363622043, 2.39141973384207, 2.34700895725274, 2.8385375863655,      2.2131785217075, 2.16640973416033, 2.22887532154294, 2.83177349547833,      1.81796659730331, 1.71137279935344, 1.96445822173508, 1.59153495480405,      2.95589454100459, 2.95589454100459, 3.26097143466547), PROX_MALL = c(0.364765391124967,      0.364765391124967, 0.365493224544838, 0.350991485118426,      0.459259689573629, 0.64580888250568, 0.344610557976029, 0.363372953846058,      0.76911725394793, 0.340751907865098, 0.855253012280219, 0.384053234723219,      0.831480717149744, 0.812301361871699, 0.808294932987377,      0.704978058880463, 0.873569112263515, 0.814743407183115,      0.814743407183115, 0.979751787656279), PROX_CHAS = c(0.204257711541377,      0.204257711541377, 0.28517644723447, 0.302383860370021, 0.0626028682349028,      0.122290728478786, 0.106045676778667, 0.111289200730163,      0.0661119226245057, 0.260152478655286, 0.378465676389041,      0.2644107607892, 0.0819321575559949, 0.334146331647452, 0.415210445937219,      0.181909444046462, 0.454068185577158, 0.257507761616553,      0.257507761616553, 0.136218265087875), PROX_SUPERMARKET = c(0.384238743245603,      0.384238743245603, 0.49431722643315, 0.519095500550079, 0.550262392018624,      0.190117050177684, 0.357992185767737, 0.386863986973968,      0.444069124865739, 0.363982132031921, 0.234896025437738,      0.407226974513028, 0.408274605358357, 0.581458245406798,      0.675617328849562, 0.448356351676465, 0.717910522287554,      0.30094246041235, 0.30094246041235, 0.0830307595499944),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 0L,          2L, 2L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 2L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 6L, 3L, 2L,          3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 1L, 3L, 1L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(8L, 8L, 10L, 9L, 7L, 6L, 6L, 9L,          9L, 8L, 10L, 11L, 6L, 7L, 8L, 9L, 5L, 10L, 10L, 4L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L, 2L, 5L, 5L,          3L, 6L, 2L, 6L, 3L, 4L, 4L, 2L, 3L, 3L, 3L, 1L), DNeighbour = c(0,          3.53630356120425, 114.657659917688, 152.038181676065,          424.430155920388, 568.306289664891, 639.739811692993,          737.805591555089, 800.474887201491, 847.183940559497,          873.985333960603, 880.120149027058, 905.164597500739,          948.907770550555, 995.418998813026, 1020.3641848092,          1098.86115160074, 1115.68601863293, 1121.81563239332,          1147.60596683876)), row.names = c("501", "77", "626",      "480", "569", "624", "6", "56", "407", "696", "67", "743",      "425", "799", "785", "373", "273", "876", "157", "303"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99998100928067, 0.980135504387406, 0.965204618382883, 0.745146445791421,      0.569672867256875, 0.475055675462591, 0.344180168865736,      0.263651206864624, 0.207055454624992, 0.176405944467625,      0.16960901022538, 0.142798317038422, 0.1000488460407, 0.0613250908146943,      0.0438727535186642, 0.00691330629849438, 0.00300908417356897,      0.00197502740157264, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7200848737 
R squared (OOB):                  0.3671524 

$Forests[[502]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(440000, 415000, 420000,      460000, 418000, 435000, 436000, 440000, 420000, 456500, 365000,      415000, 441000, 358000, 395000, 445000, 425000, 360000, 380000,      420000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 94, 94, 93, 93, 94, 94, 94, 94, 94, 94), storey_order = c(5L,      8L, 6L, 7L, 6L, 2L, 7L, 8L, 5L, 8L, 1L, 6L, 6L, 1L, 4L, 6L,      6L, 1L, 1L, 7L), remaining_lease_mths = c(1124, 1140, 1142,      1125, 1129, 1128, 1139, 1142, 1132, 1144, 1095, 1120, 1097,      1103, 1113, 1109, 1119, 1096, 1107, 1120), PROX_CBD = c(12.0234479092478,      12.02897658153, 12.02897658153, 12.02897658153, 12.02897658153,      12.042332185553, 12.042332185553, 12.042332185553, 12.042332185553,      11.9527102757424, 11.7965908296893, 11.7484946081343, 11.8078122246038,      11.8075546541859, 11.9744040829633, 12.1122271384014, 11.9828723130509,      11.6781560559471, 11.6781560559471, 12.0119641769274), PROX_ELDERLYCARE = c(0.938035651111226,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.841755023464642, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.786890441142101, 0.819362766143575,      1.00802268588986, 1.16050252277995, 0.95260617550949, 0.922118515238085,      0.738781707341689, 0.629785153682861, 0.710325725805382,      1.09658820367145, 1.09658820367145, 0.673044116243487), PROX_HAWKER = c(0.507473565259923,      0.409616357379742, 0.409616357379742, 0.409616357379742,      0.409616357379742, 0.369655971945997, 0.369655971945997,      0.369655971945997, 0.369655971945997, 0.27814297307049, 0.337854809554552,      0.512143004921159, 0.262687630178652, 0.209140712961875,      0.217370340361849, 0.337796349528525, 0.20448046373977, 0.34952328079698,      0.34952328079698, 0.222580914455278), PROX_MRT = c(0.394231498000209,      0.331072457322778, 0.331072457322778, 0.331072457322778,      0.331072457322778, 0.298263347673859, 0.298263347673859,      0.298263347673859, 0.298263347673859, 0.200702114351669,      0.249549573241666, 0.425815084561206, 0.173777829752023,      0.120215557602138, 0.167322140356011, 0.302747284955937,      0.170867756883987, 0.274140861026222, 0.274140861026222,      0.201095784108649), PROX_PARK = c(0.506408767470305, 0.529446955515876,      0.529446955515876, 0.529446955515876, 0.529446955515876,      0.542226246468638, 0.542226246468638, 0.542226246468638,      0.542226246468638, 0.643017670933737, 0.739061594864021,      0.660489483199184, 0.746013140888617, 0.747098338531098,      0.679906922269617, 0.576425078157325, 0.697136724289492,      0.620391651843957, 0.620391651843957, 0.691047645736797),          PROX_GOOD_PRISCH = c(2.39172047379238, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36775586018775,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.36724315061599, 2.270018309959, 2.14271827973834, 2.14657014261275,          2.13533890725473, 2.12338877581429, 2.27223739349538,          2.408030235171, 2.27447890050516, 2.02616945457316, 2.02616945457316,          2.29976812492723), PROX_MALL = c(0.441394824612777, 0.358721564938295,          0.358721564938295, 0.358721564938295, 0.358721564938295,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.332547569579886, 0.232344363503357, 0.241737870027575,          0.411213390710639, 0.17025857997445, 0.119447773727589,          0.214069216816763, 0.350899017798137, 0.220402811054307,          0.244599870232268, 0.244599870232268, 0.251262654177611         ), PROX_CHAS = c(0.223839041128234, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.25157977989641,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.236223262451169, 0.146038815472653, 0.101692541492014,          0.0876622280470988, 0.170258520163124, 0.11944771257822,          0.0939357367291076, 0.0703863092474096, 0.0995919009989899,          0.163903281406512, 0.163903281406512, 0.131248018016709         ), PROX_SUPERMARKET = c(0.244018176385425, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.314501000490003,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.33849828517841, 0.237998550380205, 0.17897337633635,          1.21715176356525e-07, 0.168966076328732, 0.119571834445138,          0.22318738818849, 0.360308355053667, 0.230351837454113,          0.19333058996533, 0.19333058996533, 0.261515416493987         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 4L, 5L, 3L, 2L, 4L, 4L, 7L, 7L, 6L, 2L, 2L, 6L         ), WITHIN_350M_BUS = c(10L, 11L, 11L, 11L, 11L, 10L,          10L, 10L, 10L, 12L, 9L, 11L, 11L, 10L, 10L, 7L, 7L, 9L,          9L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 114.312747187266, 114.398178336224,          118.380330005515, 119.181858808251, 177.015922024479,          178.62712422029, 178.746867567205, 179.602845751358,          240.209660802148, 252.688237885645, 283.584935934346,          284.960591026634, 326.302517501852, 329.194137590835,          346.091678844689, 362.983039771475, 365.301577707724,          365.33045129534, 387.257577750392)), row.names = c("502",      "287", "318", "874", "700", "908", "573", "16", "634", "749",      "41", "441", "439", "724", "858", "607", "203", "954", "644",      "167"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.833323666121148,      0.833085812827526, 0.821840729430592, 0.819540261449814,      0.625773470089973, 0.619742974898819, 0.619293783354218,      0.616078764593267, 0.378529878519634, 0.329745557103044,      0.215065024313534, 0.210255069869665, 0.0841164509582595,      0.0769448720602913, 0.0405225922700327, 0.0147469902247663,      0.0121391431966641, 0.0121081657021643, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       865257959 
R squared (OOB):                  0.08147932 

$Forests[[503]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 468000, 365000,      450000, 425000, 408000, 4e+05, 385000, 405000, 422500, 412000,      428888, 415000, 362500, 425000, 520000, 415000, 553000, 425000,      415000), floor_area_sqm = c(106, 106, 84, 106, 104, 105,      107, 84, 106, 104, 104, 84, 84, 103, 104, 93, 108, 93, 104,      103), storey_order = c(3L, 5L, 4L, 2L, 2L, 1L, 1L, 2L, 2L,      3L, 2L, 3L, 3L, 3L, 4L, 3L, 2L, 4L, 3L, 2L), remaining_lease_mths = c(874,      863, 787, 919, 801, 797, 912, 815, 778, 765, 878, 774, 782,      819, 775, 1133, 891, 1134, 871, 768), PROX_CBD = c(13.629257933267,      13.629257933267, 13.5012180894848, 13.6245617307962, 13.9224032790502,      13.8987191813532, 13.6047453762483, 13.8115996810708, 13.2146489403719,      13.4875816574924, 14.1313829663274, 12.8776183162857, 12.8776183162857,      14.3801998083441, 13.5598735525989, 13.7835124985007, 13.8459786715751,      13.8021184722805, 14.0236082538335, 13.0537205387581), PROX_ELDERLYCARE = c(0.207468408301612,      0.207468408301612, 0.126566715598502, 0.120631950903102,      0.160860892679658, 0.166628987045545, 0.271914041498034,      0.244605555667631, 0.392334185262972, 0.428841001075194,      0.836104821253693, 0.211786543917104, 0.211786543917104,      0.709377020411434, 0.555470204987842, 1.04590518035641, 0.429452782693922,      1.08391670289184, 1.09340394122649, 0.569472877275307), PROX_HAWKER = c(1.4012681206183,      1.4012681206183, 1.32455892398921, 1.48009929412898, 1.57003684649171,      1.60647998640073, 1.50728197565297, 1.71143518366979, 1.1504484389926,      1.41347495302278, 0.73352935155883, 0.677647820815747, 0.677647820815747,      0.928921275219278, 1.44869421276883, 0.817574416707151, 1.71981564227335,      0.792084042786722, 0.594999289424802, 0.963287544217337),          PROX_MRT = c(0.681065013996815, 0.681065013996815, 0.54422435083218,          0.357520644011877, 0.375491068655226, 0.337555536848429,          0.222008379422339, 0.198072339225813, 0.530339592860526,          0.229256973107587, 0.735653331318593, 0.301948361527339,          0.301948361527339, 1.02650412956774, 0.172867375742438,          0.648112836468654, 0.2084775132707, 0.615458599020507,          0.469886084443941, 0.551410176707671), PROX_PARK = c(0.403276931712581,          0.403276931712581, 0.593866981909781, 0.731000545087102,          0.819174175884815, 0.83983547285748, 0.882483872449952,          0.925135888784, 0.763919329225246, 1.00267286051928,          0.463826523913091, 0.246982674114576, 0.246982674114576,          0.71485218383349, 1.16233583500127, 0.438074957540257,          1.1446906726086, 0.476945111703218, 0.504422356794811,          0.974634241933185), PROX_GOOD_PRISCH = c(1.96779323327463,          1.96779323327463, 1.8351788996921, 1.96554365084008,          2.26578798898653, 2.24487256678893, 1.96272742295518,          2.17137072991142, 1.57814209766337, 1.87202126825599,          2.52734391167264, 1.22334421357001, 1.22334421357001,          2.72778429145315, 1.97663004084467, 2.3007469286795,          2.27101821651052, 2.33081910479479, 2.51794344218072,          1.48818847749708), PROX_MALL = c(1.12429495075828, 1.12429495075828,          0.956400108312903, 1.05956757611768, 1.34118728457461,          1.33259876169033, 1.0427530371351, 1.25122768833936,          0.655287065425073, 0.948424723316687, 0.66282583229379,          0.503182159926002, 0.503182159926002, 0.949257633150117,          1.05810160080284, 0.615576551193732, 1.35153556565047,          0.585717052475653, 0.418819234777705, 0.593340478429386         ), PROX_CHAS = c(0.260044927245007, 0.260044927245007,          0.0648495538885981, 2.17172157220984e-06, 0.0806372798138111,          0.0582471476749484, 0.15212794302602, 0.130123043615932,          0.358071114142678, 0.231037598077535, 0.528800676490504,          0.128785172156574, 0.128785172156574, 0.453083161817035,          0.180657994610612, 0.253975316505048, 0.345234103044859,          0.221659659627321, 0.151261605672147, 0.203693673714882         ), PROX_SUPERMARKET = c(0.288903462518554, 0.288903462518554,          0.329742543966106, 0.237807435452358, 0.189550835904173,          0.2065347950197, 0.353624023725788, 0.30366394922488,          0.384538867225359, 0.231037826802092, 0.528799775767506,          0.17067511852319, 0.17067511852319, 0.513065398645433,          0.180658044884504, 0.253974877653299, 0.426625283183798,          0.221659301316653, 0.151260689076964, 0.349948262987797         ), WITHIN_350M_KINDERGARTEN = c(3L, 3L, 1L, 3L, 3L, 2L,          0L, 0L, 2L, 2L, 0L, 0L, 0L, 0L, 2L, 0L, 1L, 0L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 5L, 5L, 3L, 3L,          6L, 3L, 3L, 2L, 3L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 4L, 2L         ), WITHIN_350M_BUS = c(6L, 6L, 7L, 10L, 9L, 9L, 12L,          10L, 9L, 10L, 6L, 12L, 12L, 2L, 11L, 6L, 12L, 5L, 12L,          8L), WITHIN_1KM_PRISCH = c(2L, 2L, 4L, 4L, 3L, 4L, 5L,          5L, 6L, 5L, 2L, 4L, 4L, 3L, 6L, 2L, 5L, 2L, 2L, 6L),          DNeighbour = c(0, 3.7869832373926, 213.072315895194,          327.682137501141, 479.625156658899, 480.117108163972,          483.976561443279, 545.412776374616, 635.130856176484,          635.773907123006, 675.129336822188, 750.94786718636,          754.441817490602, 762.137865164597, 765.034735666944,          834.091114182732, 872.59435723163, 874.257891693625,          891.461649705401, 931.2138346706)), row.names = c("503",      "415", "264", "656", "219", "531", "955", "235", "511", "663",      "695", "892", "259", "3", "564", "380", "970", "275", "51",      "541"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999966923897356,      0.898031720123996, 0.76768344991772, 0.539812975520745, 0.539013198760232,      0.532731097921046, 0.431589164657986, 0.286024926515013,      0.285017742882404, 0.225032664862354, 0.122282776674764,      0.118077481068066, 0.109008516901654, 0.105665718679725,      0.0390916027811124, 0.0148684917806924, 0.0140624761428654,      0.00698140825889397, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2196139528 
R squared (OOB):                  -0.07546131 

$Forests[[504]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 4e+05, 368888,      380000, 394000, 375000, 378000, 378000, 333000, 324000, 320000,      310000, 330000, 335000, 345000, 375000, 373888, 333000, 320000,      333000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      100, 90, 100, 91, 102, 100, 102, 93, 93, 90, 101, 103), storey_order = c(3L,      4L, 4L, 4L, 5L, 2L, 3L, 2L, 4L, 4L, 4L, 4L, 1L, 4L, 2L, 5L,      5L, 2L, 1L, 1L), remaining_lease_mths = c(1132, 1145, 1143,      1135, 1142, 1135, 1133, 1136, 928, 929, 930, 927, 911, 930,      927, 993, 990, 1009, 924, 953), PROX_CBD = c(18.4477570786683,      18.4659506582063, 18.528449956106, 18.528449956106, 18.5586196198757,      18.5586196198757, 18.5541585191533, 18.6831604018118, 18.2095446148373,      18.3448727328387, 18.242108360018, 18.6571260927441, 18.2320763538069,      17.9186379864086, 18.2868848905217, 17.8363687874637, 17.8363687874637,      17.8072819651564, 18.0902268845521, 17.7412802518209), PROX_ELDERLYCARE = c(1.45029388933935,      1.40960952841152, 1.49671415705568, 1.49671415705568, 1.41981179339616,      1.41981179339616, 1.3934670212363, 1.47678345842271, 1.17430183890643,      1.12000720290482, 1.08331104464233, 1.27166470727688, 0.927534095024191,      1.13507400842797, 0.896456720381782, 1.40920769604983, 1.40920769604983,      1.52664538751384, 0.706169610995159, 1.00357172816211), PROX_HAWKER = c(0.879695992543251,      0.861254406292383, 0.947708217710491, 0.947708217710491,      0.915906485722884, 0.915906485722884, 0.899006211509986,      1.01746494726896, 0.579651089601917, 0.636376603494217, 0.548257960059823,      0.924657565926692, 0.493410913505403, 0.435091735724103,      0.547085889030319, 0.692541487012902, 0.692541487012902,      0.809141875883089, 0.370412154176866, 0.286367973105455),          PROX_MRT = c(0.801027338961469, 0.783375472664302, 0.869531291623609,          0.869531291623609, 0.839968978875504, 0.839968978875504,          0.823747240068891, 0.943619619760125, 0.501132314022455,          0.565211037998289, 0.47401652613315, 0.861078471223358,          0.433316978327494, 0.364011265623101, 0.495991449430539,          0.634260663268818, 0.634260663268818, 0.753928873695942,          0.341202563029131, 0.240079810641839), PROX_PARK = c(2.38376543636855,          2.321508063195, 2.37596217173297, 2.37596217173297, 2.25577949184332,          2.25577949184332, 2.22642888666982, 2.2148581526701,          2.25371860749481, 2.08056453235766, 2.12857307310705,          1.95136051888807, 1.96114614265628, 2.31505119222808,          1.86697967968657, 2.04440878541867, 2.04440878541867,          1.93736074272598, 1.8531048262974, 2.28949331488756),          PROX_GOOD_PRISCH = c(8.8804818877731, 8.90481615501782,          8.9605147002348, 8.9605147002348, 9.00274768401056, 9.00274768401056,          9.00155567304774, 9.12987022396436, 8.6635222339794,          8.81498363377987, 8.71021480286832, 9.13456945987866,          8.72297519828522, 8.3676789538936, 8.78822500750919,          8.25468587074647, 8.25468587074647, 8.21423979230025,          8.60631027953587, 8.20478390995202), PROX_MALL = c(0.601716003339109,          0.542775018358786, 0.613385110580272, 0.613385110580272,          0.5054917244252, 0.5054917244252, 0.475387173022169,          0.525391611000181, 0.468966497593582, 0.284195187673565,          0.347669457974494, 0.300602441432182, 0.22704735136933,          0.384238747959315, 0.1450338527091, 0.630636123898788,          0.630636123898788, 0.745769461616378, 0.342860958869265,          0.222110908162432), PROX_CHAS = c(0.260006933015678,          0.20305264112251, 0.220932244035638, 0.220932244035638,          0.101888085354885, 0.101888085354885, 0.0809306171135589,          0.090990597005735, 0.3998394205418, 0.24769320941352,          0.274735402884708, 0.214120710257936, 0.11607611654581,          0.360842629752134, 0.0217240252323136, 0.221589023831152,          0.221589023831152, 0.195830090979757, 0.209799590563819,          0.222110881748482), PROX_SUPERMARKET = c(0.260005577706646,          0.203051245143547, 0.220931072377982, 0.220931072377982,          0.101886801165025, 0.101886801165025, 0.080929224247632,          0.0909910491430168, 0.402574253870019, 0.284194910851331,          0.347668959247477, 0.214121714630789, 0.227046556279957,          0.360842909613722, 0.145032957963293, 0.22158921197453,          0.22158921197453, 0.265666518411173, 0.342860053820009,          0.222110358133712), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 2L, 1L, 2L,          1L, 1L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 2L, 5L, 3L, 3L, 5L, 1L, 7L, 3L,          3L, 2L, 6L, 5L), WITHIN_350M_BUS = c(8L, 6L, 6L, 6L,          5L, 5L, 8L, 5L, 8L, 8L, 7L, 8L, 10L, 11L, 9L, 6L, 6L,          4L, 7L, 16L), WITHIN_1KM_PRISCH = c(3L, 4L, 3L, 3L, 4L,          4L, 4L, 3L, 4L, 4L, 4L, 3L, 4L, 3L, 4L, 3L, 3L, 3L, 5L,          4L), DNeighbour = c(0, 60.2450137584034, 85.2701473073239,          86.1878285766968, 159.062918764091, 159.566713568564,          172.34483338522, 276.055545415527, 294.457375306323,          339.612036929075, 360.994480777865, 456.851440583191,          528.376426141744, 541.463232055804, 587.028801535188,          637.153194795778, 638.4618572885, 703.761733654915, 737.710953849134,          745.153113704257)), row.names = c("504", "777", "875",      "102", "581", "35", "563", "664", "243", "512", "608", "761",      "443", "590", "787", "118", "391", "358", "74", "242"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.986969549116835, 0.973981628844881, 0.973422384575483,      0.910943069123899, 0.910391298417641, 0.8958735095066, 0.744343257011632,      0.712075635612992, 0.627710027988631, 0.585686576912042,      0.38951525378214, 0.247207199908233, 0.222769104300193, 0.143927003597937,      0.072289189700851, 0.070681552788373, 0.0116660398788436,      0.000395019549677601, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       317935615 
R squared (OOB):                  0.6269192 

$Forests[[505]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(658000, 615000, 585000,      575000, 417000, 540000, 565000, 435000, 428888, 415000, 440000,      410000, 380000, 412000, 420000, 447000, 435000, 390000, 438000,      478000), floor_area_sqm = c(84, 84, 93, 93, 99, 93, 93, 99,      84, 84, 100, 100, 104, 103, 104, 107, 100, 104, 104, 104),          storey_order = c(3L, 2L, 4L, 5L, 3L, 4L, 6L, 2L, 3L,          3L, 3L, 3L, 1L, 4L, 2L, 3L, 4L, 1L, 2L, 5L), remaining_lease_mths = c(1120,          1122, 1142, 1133, 914, 1142, 1127, 928, 774, 782, 911,          915, 924, 918, 922, 782, 924, 809, 812, 770), PROX_CBD = c(12.4891302242583,          12.3801819754074, 12.454441113408, 12.4342034244884,          12.2815153207229, 12.5378737745647, 12.4937468159193,          12.2106818490232, 12.8776183162857, 12.8776183162857,          12.2087069526051, 12.2087069526051, 12.0301392517655,          11.9871965659798, 11.8892341343185, 11.7840832214562,          12.114386347938, 11.7882471009294, 11.7215458353159,          11.927322045494), PROX_ELDERLYCARE = c(0.707031754326944,          0.738453704244922, 0.717258387107597, 0.678867196986192,          0.513657423159811, 0.76025522927712, 0.714783075399861,          0.442541563379791, 0.211786543917104, 0.211786543917104,          0.434858408662556, 0.434858408662556, 0.255083942589415,          0.210296865683283, 0.110349805405523, 0.481333190444255,          0.421163091926404, 0.114277277444971, 0.240093333498969,          0.77464979732367), PROX_HAWKER = c(0.384467206049481,          0.261296216065877, 0.459376407452819, 0.504612881494125,          0.52278816815954, 0.672948721825079, 0.680821394190482,          0.524204307723605, 0.677647820815747, 0.677647820815747,          0.692592935098248, 0.692592935098248, 0.598391326300702,          0.625285574708341, 0.684056106771311, 0.436117874461739,          0.885134801830427, 0.647051853283446, 0.609281739536534,          0.445987433628815), PROX_MRT = c(0.38468199977318, 0.367154517888221,          0.518913352820399, 0.586933783104383, 0.703998835661039,          0.707305973375369, 0.743366527772832, 0.743103019894999,          0.301948361527339, 0.301948361527339, 0.89623888155871,          0.89623888155871, 0.885297742933312, 0.923336133969517,          1.00424261648768, 0.81394482428473, 1.10882075300419,          1.00317447086964, 0.989064774064853, 0.493642118682657         ), PROX_PARK = c(0.50651752093578, 0.605799570777928,          0.580711209690395, 0.628391467794767, 0.796788171077343,          0.628331945846246, 0.683130710636032, 0.863487882808023,          0.246982674114576, 0.246982674114576, 0.954913184146477,          0.954913184146477, 1.04875150887626, 1.09395352284574,          1.19263079577799, 1.20101103678102, 1.14970360230785,          1.24877122811849, 1.28416187507733, 1.17760662255222),          PROX_GOOD_PRISCH = c(0.94986022590219, 0.823417580851307,          0.990054087408291, 1.01367306567257, 0.952579960345566,          1.17951788917503, 1.16886515239787, 0.91368762909787,          1.22334421357001, 1.22334421357001, 1.04944877580977,          1.04944877580977, 0.860616187528585, 0.855677549512306,          0.842915880539328, 0.357669915539773, 1.17061030478036,          0.713901761199557, 0.585140695782779, 0.289303568244907         ), PROX_MALL = c(0.458049841664737, 0.344173235497563,          0.549832225559512, 0.600548053404267, 0.630705874818675,          0.766094086501437, 0.778202426893423, 0.634332011832188,          0.503182159926002, 0.503182159926002, 0.802829369116586,          0.802829369116586, 0.707201836140707, 0.732793638615111,          0.787722851944232, 0.489619370966043, 0.995792127022496,          0.741052769880115, 0.690287469384684, 0.376851773239706         ), PROX_CHAS = c(3.00974727266337e-08, 0.126495411341712,          0.134313038880304, 0.134041173915956, 0.0753088652692227,          0.187116592266412, 0.147744885974614, 0.140964983635816,          0.128785172156574, 0.128785172156574, 0.0852358826892552,          0.0852358826892552, 0.202915262499126, 0.171681037809818,          0.124859952031804, 0.0667093090499658, 0.138740180982893,          0.0554870656895364, 0.164718468919614, 0.339292519878925         ), PROX_SUPERMARKET = c(0.425107542879533, 0.30203349112312,          0.499432454100223, 0.543693418915242, 0.448534184110051,          0.707597649659388, 0.667447252804164, 0.377835654599335,          0.17067511852319, 0.17067511852319, 0.414959148864982,          0.414959148864982, 0.20670525505664, 0.172282484091702,          0.114394571204967, 0.379080894647373, 0.459680111992834,          0.0453848138423891, 0.169255457402684, 0.405378875546255         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 1L, 0L,          0L, 1L, 0L, 0L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 4L, 4L, 6L, 5L,          4L, 5L, 1L, 1L, 5L, 5L, 5L, 5L, 8L, 3L, 1L, 8L, 6L, 2L         ), WITHIN_350M_BUS = c(10L, 8L, 11L, 12L, 12L, 11L, 11L,          11L, 12L, 12L, 11L, 11L, 7L, 6L, 9L, 7L, 8L, 9L, 10L,          9L), WITHIN_1KM_PRISCH = c(5L, 4L, 3L, 1L, 2L, 1L, 1L,          2L, 4L, 4L, 1L, 1L, 2L, 2L, 2L, 4L, 1L, 3L, 3L, 4L),          DNeighbour = c(0, 127.193880620721, 131.941236925575,          199.671959068312, 331.000246622462, 331.62459155025,          362.66899744772, 389.408952081295, 508.396324540418,          510.387796147649, 521.625877257172, 522.092630659179,          554.46142425475, 606.224266189905, 701.024705604532,          718.198794088335, 730.705649141765, 737.885079069146,          774.263932588764, 825.40241117477)), row.names = c("505",      "315", "641", "310", "362", "343", "24", "42", "892", "259",      "410", "680", "727", "689", "148", "340", "707", "508", "625",      "666"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.953070750974023,      0.949548361514285, 0.88638500291791, 0.704232326075648, 0.703213519712579,      0.651154247562352, 0.604386432004398, 0.38517037094643, 0.38148281994672,      0.360743857309443, 0.359885416646312, 0.30113341474482, 0.212124643876774,      0.0776558708598458, 0.0589964884825558, 0.046782866714445,      0.0403276497441847, 0.0144175507480523, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1148616435 
R squared (OOB):                  0.8329571 

$Forests[[506]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(660000, 680000, 735000,      325000, 390000, 335000, 420000, 380000, 347000, 320000, 3e+05,      380000, 350000, 388800, 333000, 370000, 4e+05, 418000, 380000,      390000), floor_area_sqm = c(87, 87, 97, 82, 92, 83, 92, 92,      90, 90, 92, 92, 92, 98, 89, 84, 92, 92, 92, 92), storey_order = c(3L,      6L, 6L, 4L, 1L, 3L, 5L, 2L, 5L, 2L, 2L, 4L, 4L, 2L, 1L, 3L,      4L, 4L, 4L, 1L), remaining_lease_mths = c(1066, 1076, 1066,      666, 685, 687, 694, 687, 672, 672, 691, 693, 688, 697, 692,      673, 690, 691, 695, 711), PROX_CBD = c(10.1126951054664,      10.1126951054664, 9.96973817000633, 10.0782341562763, 10.3184291669162,      10.5501175985891, 10.5902646894981, 10.571248724537, 10.5036676165143,      10.5036676165143, 10.7273754880637, 10.7273754880637, 10.7428660694501,      10.7178846249378, 10.7178846249378, 10.6549850760698, 9.59976569988281,      9.61422948612377, 9.61422948612377, 9.71066487891121), PROX_ELDERLYCARE = c(0.511544492658224,      0.511544492658224, 0.560133969723593, 0.248412112584261,      0.724299376510179, 0.724362239545807, 0.476382036969741,      0.426373779355343, 0.346712236264009, 0.346712236264009,      0.968089576161562, 0.968089576161562, 1.00386291289403, 0.903749132751209,      0.903749132751209, 0.531453703929196, 0.239547661796275,      0.28812103687201, 0.28812103687201, 0.385358274245319), PROX_HAWKER = c(0.268370020499938,      0.268370020499938, 0.246219700947935, 0.250435976222025,      0.285348407142059, 0.496328097640832, 0.142004884371921,      0.155284554597335, 0.255376275980047, 0.255376275980047,      0.259491073356982, 0.259491073356982, 0.19921426515349, 0.131164348467149,      0.131164348467149, 0.345053577007401, 0.436761476721694,      0.398658919868918, 0.398658919868918, 0.39402887106119),          PROX_MRT = c(0.549740095282867, 0.549740095282867, 0.405168801785449,          0.622308556906305, 0.752281430413819, 0.92637591011884,          0.793335563342317, 0.822399768635659, 0.908007357991278,          0.908007357991278, 0.880392787161762, 0.880392787161762,          0.911557541227745, 0.897030842789514, 0.897030842789514,          0.849090589690401, 0.619962862184004, 0.667432439829923,          0.667432439829923, 0.746020760246364), PROX_PARK = c(0.878497256111703,          0.878497256111703, 0.868342722448078, 0.627458410441261,          1.05219739289641, 0.888350706343443, 0.57091664624863,          0.471129460807546, 0.381418159266178, 0.381418159266178,          0.675703893946554, 0.675703893946554, 0.65460215425144,          0.68415716278098, 0.68415716278098, 0.204920490916151,          0.957886982704992, 0.922231693079911, 0.922231693079911,          0.914740437498633), PROX_GOOD_PRISCH = c(1.46177539101005,          1.46177539101005, 1.55873028154778, 1.26151864262594,          1.54472866778257, 1.37609088117382, 0.962114901666907,          0.876989954992127, 0.825686703361669, 0.825686703361669,          1.51964159199475, 1.51964159199475, 1.57772010642862,          1.69245386393467, 1.69245386393467, 0.576127248022356,          2.35345437748376, 2.38715383730665, 2.38715383730665,          2.31351362539819), PROX_MALL = c(0.269774803261538, 0.269774803261538,          0.129560175686973, 0.418279044459304, 0.472532088410597,          0.693136328895784, 0.838333779631814, 0.872531493441133,          0.873995522285645, 0.873995522285645, 0.885934538444454,          0.885934538444454, 0.913300066979642, 0.922177591154216,          0.922177591154216, 1.12054305374088, 0.387669919047214,          0.43353114329251, 0.43353114329251, 0.505770857705003         ), PROX_CHAS = c(0.20472250196774, 0.20472250196774,          0.0647243745052949, 0.186550674976261, 0.165961529218061,          0.120595382532287, 0.0950095589968322, 0.109732367463933,          0.217153936659979, 0.217153936659979, 0.161497017697243,          0.161497017697243, 0.184868017131885, 0.141741960002869,          0.141741960002869, 0.290835710912963, 0.263208245292117,          0.28666502826278, 0.28666502826278, 0.255589678637005         ), PROX_SUPERMARKET = c(0.35798039621586, 0.35798039621586,          0.241122798862169, 0.255147915067147, 0.447507928623339,          0.448117335537485, 0.190547463602814, 0.199099262156692,          0.291549431934698, 0.291549431934698, 0.294310303883692,          0.294310303883692, 0.247977273863763, 0.141741503991008,          0.141741503991008, 0.292451786949051, 0.44091986097032,          0.396736556610776, 0.396736556610776, 0.363062686357781         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 1L, 1L, 2L,          0L, 0L, 0L, 0L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 5L, 4L, 2L,          2L, 3L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 1L, 4L, 3L, 3L, 2L         ), WITHIN_350M_BUS = c(6L, 6L, 7L, 5L, 7L, 6L, 6L, 5L,          6L, 6L, 4L, 4L, 5L, 6L, 6L, 7L, 11L, 11L, 11L, 13L),          WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 2L, 5L, 5L, 2L, 2L,          2L, 2L, 5L, 5L, 5L, 5L, 5L, 2L, 3L, 4L, 4L, 4L), DNeighbour = c(0,          10.1454094432327, 147.734616906429, 271.177803116376,          289.148611071837, 442.883154936607, 571.435876128667,          616.511190169372, 634.415445977996, 638.47359134433,          666.090703307474, 669.464422785214, 710.550092820513,          742.637862371358, 744.63721092647, 891.254020581246,          897.824066178037, 929.193690476641, 930.121834483275,          944.563271571911)), row.names = c("506", "316", "471",      "84", "97", "778", "701", "210", "482", "940", "648", "651",      "43", "429", "914", "728", "964", "499", "603", "776"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999769281727012, 0.951673238827848, 0.841948334746228,      0.82136384259976, 0.608642122007257, 0.40196475007133, 0.329464491945797,      0.301276887773548, 0.294954627154125, 0.252723204669279,      0.247671077066185, 0.188456840132296, 0.14581138754285, 0.143277169491314,      0.0120320563178172, 0.00931537434548384, 0.00104190077904866,      0.000920774462251834, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3525190395 
R squared (OOB):                  0.7713012 

$Forests[[507]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 373000, 410000,      420000, 435000, 398000, 425000, 410000, 418000, 345000, 365000,      312000, 320000, 455000, 465000, 385000, 3e+05, 450000, 330000,      305000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 93,      112, 95, 91, 107, 104, 106, 106, 90, 85, 93, 107, 90), storey_order = c(1L,      1L, 3L, 5L, 4L, 2L, 4L, 4L, 5L, 3L, 4L, 1L, 2L, 4L, 2L, 3L,      2L, 4L, 3L, 1L), remaining_lease_mths = c(1127, 1128, 1131,      1134, 1129, 1136, 1126, 1117, 904, 1003, 1061, 779, 779,      933, 933, 1060, 979, 950, 776, 966), PROX_CBD = c(17.1731083577317,      17.1731083577317, 17.2397585888566, 17.2397585888566, 17.2397585888566,      17.26435404508, 17.3263676504413, 17.3263676504413, 17.2048826778539,      17.7047470513727, 17.5974072281911, 16.6890813896757, 16.6890813896757,      17.1634204962367, 17.1401277939721, 17.6242343596777, 18.0119212314593,      17.4336546583772, 16.4773488158513, 18.0816861587931), PROX_ELDERLYCARE = c(0.456899326246073,      0.456899326246073, 0.500148198332671, 0.500148198332671,      0.500148198332671, 0.542806768712765, 0.561119780492452,      0.561119780492452, 0.400468425457175, 0.933045885854195,      0.819477307137174, 0.296144426041885, 0.296144426041885,      0.565792923614884, 0.586863575497558, 0.892136309268664,      1.25793892145158, 0.825709875044437, 0.393080972860029, 1.34637729166943     ), PROX_HAWKER = c(0.507233229895407, 0.507233229895407,      0.55990768529081, 0.55990768529081, 0.55990768529081, 0.598096651463893,      0.631285601786086, 0.631285601786086, 0.498365875295267,      1.00938993481846, 0.922900854400271, 0.360513691606501, 0.360513691606501,      0.666841975849823, 0.685044657792881, 0.816419857336687,      1.33204585660377, 0.841716009165303, 0.170796598263111, 1.41733367811242     ), PROX_MRT = c(1.18009183772516, 1.18009183772516, 1.16124452414741,      1.16124452414741, 1.16124452414741, 1.20599959693509, 1.13344401626098,      1.13344401626098, 0.87869292375624, 1.29287496569192, 0.830609903675807,      0.937471590679814, 0.937471590679814, 0.463116738810145,      0.418422993771755, 0.729175757939742, 1.54554013822754, 0.463093751675267,      0.826410504821953, 1.64690112478102), PROX_PARK = c(1.02763138312455,      1.02763138312455, 0.959994438388966, 0.959994438388966, 0.959994438388966,      0.937816003807321, 0.872985599051717, 0.872985599051717,      0.9054780070858, 0.495314460898113, 0.751240825934154, 1.20981147430356,      1.20981147430356, 0.505224516024672, 0.454841043819919, 0.830497330619545,      0.23250554954982, 0.609424449579261, 1.2054653508424, 0.243247600736397     ), PROX_GOOD_PRISCH = c(6.57664814247058, 6.57664814247058,      6.64012383316355, 6.64012383316355, 6.64012383316355, 6.66937916554136,      6.72174636420399, 6.72174636420399, 6.57740517739392, 7.10206992983331,      6.95474206477502, 6.16175607197734, 6.16175607197734, 6.50789265243056,      6.48254224033906, 6.97273607492461, 7.41905192895776, 6.77374769998522,      5.97835326648125, 7.49669975318446), PROX_MALL = c(0.392080122681935,      0.392080122681935, 0.450738515511335, 0.450738515511335,      0.450738515511335, 0.484724019608978, 0.530342726071102,      0.530342726071102, 0.446026044391999, 0.790613232916467,      0.757845794253982, 0.571849863617429, 0.571849863617429,      0.353588302636786, 0.306862579253759, 0.671391539314818,      0.658794213245526, 0.404491618549369, 0.76724723438711, 0.694568288644574     ), PROX_CHAS = c(0.214971829128206, 0.214971829128206, 0.221318263528924,      0.221318263528924, 0.221318263528924, 0.270084445320348,      0.254413742194056, 0.254413742194056, 0.130380344727655,      0.40646651865696, 0.175468897673469, 0.332465298200207, 0.332465298200207,      0.171584438209325, 0.133156315003352, 0.0497500971788425,      0.166262674114357, 0.260153188296123, 0.09463300161804, 0.119012364389208     ), PROX_SUPERMARKET = c(0.391090025360665, 0.391090025360665,      0.449846933875903, 0.449846933875903, 0.449846933875903,      0.483753219919624, 0.529573977763673, 0.529573977763673,      0.445962312606475, 0.260900811674997, 0.336744227428862,      0.204374831829505, 0.204374831829505, 0.320581809168482,      0.27639551573194, 0.442456788826315, 0.385510043100507, 0.355873580059747,      0.108262733037825, 0.485184742393951), WITHIN_350M_KINDERGARTEN = c(2L,      2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 0L, 1L, 3L, 3L, 1L, 1L, 0L,      1L, 1L, 3L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L,      4L, 4L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 4L, 3L, 2L, 3L, 4L, 6L,      3L), WITHIN_350M_BUS = c(8L, 8L, 6L, 6L, 6L, 6L, 5L, 5L,      8L, 6L, 6L, 9L, 9L, 8L, 7L, 12L, 9L, 12L, 9L, 8L), WITHIN_1KM_PRISCH = c(2L,      2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,      4L, 6L, 3L, 3L), DNeighbour = c(0, 3.04298616195685, 65.9802743667925,      69.4371931021291, 71.0587645057359, 90.5332160582831, 164.074110462673,      165.946147626446, 313.068094682902, 521.67209306056, 646.791149456544,      661.623115537961, 665.514529617378, 722.399073935544, 765.797092660754,      774.733768404619, 833.853128746513, 859.435760182218, 915.781303365024,      920.20515456383)), row.names = c("507", "985", "86", "280",      "290", "847", "925", "797", "889", "631", "720", "497", "328",      "991", "530", "300", "228", "535", "107", "85"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999978129523132, 0.989744163555662, 0.988644486100651,      0.988109525385594, 0.980734973071595, 0.937427731508493,      0.936015450976153, 0.781904049803796, 0.460518033999735,      0.255999319605214, 0.233333303960299, 0.22747836919652, 0.147233454524418,      0.0945186685708504, 0.0847860911649747, 0.0319959090981828,      0.0163115763601422, 9.20028586445831e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1826225875 
R squared (OOB):                  0.3315547 

$Forests[[508]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 438000, 420000,      376888, 412000, 430000, 380000, 447000, 435000, 440000, 410000,      435000, 360000, 417000, 575000, 615000, 585000, 422800, 565000,      658000), floor_area_sqm = c(104, 104, 104, 104, 103, 104,      104, 107, 99, 100, 100, 100, 84, 99, 93, 84, 93, 104, 93,      84), storey_order = c(1L, 2L, 2L, 3L, 4L, 2L, 1L, 3L, 2L,      3L, 3L, 4L, 2L, 3L, 5L, 2L, 4L, 4L, 6L, 3L), remaining_lease_mths = c(809,      812, 922, 810, 918, 819, 924, 782, 928, 911, 915, 924, 762,      914, 1133, 1122, 1142, 813, 1127, 1120), PROX_CBD = c(11.7882471009294,      11.7215458353159, 11.8892341343185, 11.622690560426, 11.9871965659798,      11.547248638023, 12.0301392517655, 11.7840832214562, 12.2106818490232,      12.2087069526051, 12.2087069526051, 12.114386347938, 11.4815172953657,      12.2815153207229, 12.4342034244884, 12.3801819754074, 12.454441113408,      11.1672746170477, 12.4937468159193, 12.4891302242583), PROX_ELDERLYCARE = c(0.114277277444971,      0.240093333498969, 0.110349805405523, 0.175524774720266,      0.210296865683283, 0.246353759583753, 0.255083942589415,      0.481333190444255, 0.442541563379791, 0.434858408662556,      0.434858408662556, 0.421163091926404, 0.182032582488253,      0.513657423159811, 0.678867196986192, 0.738453704244922,      0.717258387107597, 0.14075304944647, 0.714783075399861, 0.707031754326944     ), PROX_HAWKER = c(0.647051853283446, 0.609281739536534,      0.684056106771311, 0.783966268147895, 0.625285574708341,      0.837769476188058, 0.598391326300702, 0.436117874461739,      0.524204307723605, 0.692592935098248, 0.692592935098248,      0.885134801830427, 0.728271246274353, 0.52278816815954, 0.504612881494125,      0.261296216065877, 0.459376407452819, 1.04840790050398, 0.680821394190482,      0.384467206049481), PROX_MRT = c(1.00317447086964, 0.989064774064853,      1.00424261648768, 1.15515804744233, 0.923336133969517, 1.16228231940478,      0.885297742933312, 0.81394482428473, 0.743103019894999, 0.89623888155871,      0.89623888155871, 1.10882075300419, 0.756359380624344, 0.703998835661039,      0.586933783104383, 0.367154517888221, 0.518913352820399,      0.893429463565323, 0.743366527772832, 0.38468199977318),          PROX_PARK = c(1.24877122811849, 1.28416187507733, 1.19263079577799,          1.41684131410086, 1.09395352284574, 1.4881280763212,          1.04875150887626, 1.20101103678102, 0.863487882808023,          0.954913184146477, 0.954913184146477, 1.14970360230785,          1.50398184725757, 0.796788171077343, 0.628391467794767,          0.605799570777928, 0.580711209690395, 1.25063890429238,          0.683130710636032, 0.50651752093578), PROX_GOOD_PRISCH = c(0.713901761199557,          0.585140695782779, 0.842915880539328, 0.733057242670121,          0.855677549512306, 0.735233663606362, 0.860616187528585,          0.357669915539773, 0.91368762909787, 1.04944877580977,          1.04944877580977, 1.17061030478036, 0.365254403810308,          0.952579960345566, 1.01367306567257, 0.823417580851307,          0.990054087408291, 0.623353133039123, 1.16886515239787,          0.94986022590219), PROX_MALL = c(0.741052769880115, 0.690287469384684,          0.787722851944232, 0.868993594299523, 0.732793638615111,          0.918014501744059, 0.707201836140707, 0.489619370966043,          0.634332011832188, 0.802829369116586, 0.802829369116586,          0.995792127022496, 0.763531318053358, 0.630705874818675,          0.600548053404267, 0.344173235497563, 0.549832225559512,          1.08293003315278, 0.778202426893423, 0.458049841664737         ), PROX_CHAS = c(0.0554870656895364, 0.164718468919614,          0.124859952031804, 0.151742844958785, 0.171681037809818,          0.157099147473317, 0.202915262499126, 0.0667093090499658,          0.140964983635816, 0.0852358826892552, 0.0852358826892552,          0.138740180982893, 0.0516610437101642, 0.0753088652692227,          0.134041173915956, 0.126495411341712, 0.134313038880304,          0.151540147087551, 0.147744885974614, 3.00974727266337e-08         ), PROX_SUPERMARKET = c(0.0453848138423891, 0.169255457402684,          0.114394571204967, 0.151741730066283, 0.172282484091702,          0.157098334004615, 0.20670525505664, 0.379080894647373,          0.377835654599335, 0.414959148864982, 0.414959148864982,          0.459680111992834, 0.19171128272723, 0.448534184110051,          0.543693418915242, 0.30203349112312, 0.499432454100223,          0.299482732316256, 0.667447252804164, 0.425107542879533         ), WITHIN_350M_KINDERGARTEN = c(3L, 2L, 2L, 1L, 2L, 1L,          2L, 2L, 1L, 2L, 2L, 2L, 0L, 1L, 2L, 2L, 2L, 2L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(8L, 6L, 8L, 7L, 5L, 7L,          5L, 3L, 5L, 5L, 5L, 1L, 5L, 6L, 4L, 3L, 4L, 6L, 4L, 2L         ), WITHIN_350M_BUS = c(9L, 10L, 9L, 8L, 6L, 11L, 7L,          7L, 11L, 11L, 11L, 8L, 14L, 12L, 12L, 8L, 11L, 14L, 11L,          10L), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 2L, 2L, 2L, 2L,          4L, 2L, 1L, 1L, 1L, 3L, 2L, 1L, 4L, 3L, 2L, 1L, 5L),          DNeighbour = c(0, 134.648615468324, 147.570531398636,          170.750424973523, 211.327112397425, 243.444669991575,          251.802749384981, 366.651613076549, 418.460218098459,          460.608022448166, 460.940534819615, 487.21475933318,          491.728909326345, 494.146799663748, 650.82569012898,          664.109895655264, 667.914457690219, 693.268254715757,          712.916406226264, 737.885079069146)), row.names = c("508",      "625", "148", "750", "689", "598", "727", "340", "42", "410",      "680", "707", "213", "362", "310", "315", "641", "528", "24",      "505"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.934511544465009,      0.921606748924348, 0.895770717334279, 0.842682697966395,      0.794150712089988, 0.780658713960154, 0.567152200382892,      0.460211632538194, 0.372515230435628, 0.371828556899302,      0.318122129705005, 0.309032480282728, 0.30418406462683, 0.0493060171038555,      0.0360876494791201, 0.0326379850590275, 0.013753547467434,      0.00442641355433676, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6568854749 
R squared (OOB):                  0.1341457 

$Forests[[509]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(1056800, 1110000,      890000, 1038000, 1023801, 830000, 643888, 755000, 7e+05,      685000, 753000, 620000, 475000, 476000, 537000, 748000, 5e+05,      945500, 912000, 680000), floor_area_sqm = c(95, 94, 93, 95,      95, 94, 83, 90, 93, 93, 87, 103, 103, 103, 106, 107, 103,      87, 87, 91), storey_order = c(16L, 17L, 2L, 13L, 13L, 9L,      4L, 2L, 1L, 4L, 5L, 2L, 2L, 2L, 4L, 2L, 1L, 8L, 3L, 3L),          remaining_lease_mths = c(1081, 1086, 1079, 1088, 1085,          1088, 721, 983, 625, 1115, 1104, 911, 781, 774, 760,          899, 773, 1143, 1142, 984), PROX_CBD = c(1.77209924777956,          1.77209924777956, 1.67386574810093, 1.6109563636452,          1.64296215322618, 1.64296215322618, 1.53899731723416,          2.01305703462688, 2.09358084499411, 2.56060478168524,          2.5775653440094, 2.86182045335715, 3.09516181063763,          3.09516181063763, 3.12641734116327, 2.52364731081334,          3.24578829573265, 2.51922626320824, 2.51922626320824,          2.86455481676114), PROX_ELDERLYCARE = c(0.140516738363648,          0.140516738363648, 0.177855560288099, 0.267363987874465,          0.294850727643248, 0.294850727643248, 0.194322059338883,          0.301111196915018, 0.442569764285143, 0.303984777605612,          0.283170941801308, 0.334062202372697, 0.614909460801077,          0.614909460801077, 0.570344367187993, 0.132133546591398,          0.461566734593474, 1.25853619714168e-06, 1.25853619714168e-06,          0.111411798512938), PROX_HAWKER = c(0.23052169920376,          0.23052169920376, 0.190132187507835, 0.235977344459711,          0.280083683397779, 0.280083683397779, 0.0778854840685767,          0.439754799726314, 0.103399879312882, 0.450094806637729,          0.447120961378381, 0.231089093207534, 0.524942013349153,          0.524942013349153, 0.582032517556358, 0.315417458803045,          0.461305554076076, 0.187177165934232, 0.187177165934232,          0.302651224916382), PROX_MRT = c(0.454819638815125, 0.454819638815125,          0.379670718067057, 0.29771914919713, 0.262926729358016,          0.262926729358016, 0.338341879948785, 0.650763936895186,          0.681532284353367, 0.546591463865751, 0.499107329029013,          0.819080841065402, 1.19880844528061, 1.19880844528061,          1.19588154804183, 0.277076743329557, 1.11057161001852,          0.243725266054354, 0.243725266054354, 0.391395986196982         ), PROX_PARK = c(0.568364566172339, 0.568364566172339,          0.464667269713551, 0.367398542795172, 0.366095429090919,          0.366095429090919, 0.431332248643832, 0.806729342800227,          0.400473707610266, 0.21329655328302, 0.18481391877062,          0.609617368578913, 0.971409228458194, 0.971409228458194,          0.971029675538415, 0.163253442595557, 0.856773721705297,          0.28862748451296, 0.28862748451296, 0.399002951856213         ), PROX_GOOD_PRISCH = c(6.2014068010071, 6.2014068010071,          6.13913327172338, 6.05683769533381, 6.02306971378175,          6.02306971378175, 6.20754086879516, 6.32589195448141,          4.81109980295855, 4.93746215949662, 4.89009258041755,          5.1514664212482, 5.46565510857314, 5.46565510857314,          5.52416256345089, 4.61812725480087, 5.51078547454581,          4.50145006484821, 4.50145006484821, 4.71207116352008),          PROX_MALL = c(0.293469301127063, 0.293469301127063, 0.332985789848242,          0.415453175187746, 0.44820920236387, 0.44820920236387,          0.293332886646226, 0.368960166061844, 0.685370188976197,          0.572150632107275, 0.524781909718914, 0.848351644608041,          1.2281628510896, 1.2281628510896, 1.29251563056945, 0.290995843291254,          1.33172083977874, 0.244046547559164, 0.244046547559164,          0.420489734799516), PROX_CHAS = c(0.116110892529562,          0.116110892529562, 0.0280349864391529, 0.0860247998100326,          0.0951865321113252, 0.0951865321113252, 0.0279718763032621,          0.298496878246672, 0.165994533154508, 0.0640474788759872,          0.0301364724824846, 0.159666076311523, 0.240903750709302,          0.240903750709302, 0.202999736112437, 0.0122221533760307,          0.0869328465249217, 0.0462846720247782, 0.0462846720247782,          0.110042750971165), PROX_SUPERMARKET = c(0.203860721712114,          0.203860721712114, 0.185142915152075, 0.248046397132554,          0.28799517805095, 0.28799517805095, 0.114546579488019,          0.364789845186166, 0.346795592234613, 0.315915165677582,          0.275738565320567, 0.360029455717415, 0.240902416159861,          0.240902416159861, 0.202998478162502, 0.0373112013983995,          0.0869315055470345, 0.169442491353445, 0.169442491353445,          0.110042446678578), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(7L, 7L,          7L, 6L, 6L, 6L, 8L, 4L, 4L, 4L, 4L, 3L, 2L, 2L, 2L, 6L,          2L, 4L, 4L, 4L), WITHIN_350M_BUS = c(10L, 10L, 9L, 11L,          9L, 9L, 9L, 10L, 7L, 3L, 3L, 4L, 4L, 4L, 5L, 6L, 6L,          4L, 4L, 7L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 3L, 2L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L,          4L), DNeighbour = c(0, 5.69435934881862, 104.434568886158,          197.536023423293, 203.336586562315, 206.622091495144,          243.477717338042, 253.721570072776, 1383.10226545886,          1447.79595547056, 1491.89107226436, 1526.80292465923,          1580.5414722921, 1581.09072496969, 1588.60381554159,          1662.78526179562, 1704.24006321846, 1750.01568852069,          1758.13361446581, 1783.81903410933)), row.names = c("509",      "321", "10", "619", "91", "850", "524", "567", "824", "390",      "999", "561", "134", "126", "48", "65", "192", "816", "550",      "968"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999979619448306,      0.99315659822954, 0.975624699235843, 0.974181635007521, 0.973346229280765,      0.963086740061283, 0.95994767282714, 0.159054660932716, 0.116459324282264,      0.0903148441216658, 0.0715050472912665, 0.0461934887621978,      0.0459592004656865, 0.0428063515797594, 0.0171867125657004,      0.00760958778065713, 0.00140931691156663, 0.000817439572187175,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       23280865575 
R squared (OOB):                  0.4205042 

$Forests[[510]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 355000, 365000,      320000, 385000, 345000, 350000, 370000, 333000, 295000, 343000,      325000, 310000, 345000, 292000, 390000, 345000, 335000, 325000,      370000), floor_area_sqm = c(104, 106, 104, 106, 104, 114,      104, 103, 108, 105, 102, 104, 104, 104, 104, 126, 103, 114,      90, 93), storey_order = c(2L, 1L, 2L, 1L, 1L, 2L, 2L, 4L,      4L, 1L, 5L, 1L, 1L, 4L, 2L, 2L, 5L, 3L, 4L, 1L), remaining_lease_mths = c(875,      825, 828, 851, 863, 839, 863, 881, 895, 870, 935, 872, 879,      862, 828, 879, 944, 904, 912, 1139), PROX_CBD = c(15.8781143296649,      15.6983328737326, 15.6198573118901, 15.9983120826665, 16.2492480828887,      15.4582319270764, 15.9139497277605, 15.9139497277605, 16.5397910410307,      16.027241877126, 15.6558233565228, 15.9652370890998, 15.9652370890998,      16.2035530975804, 15.1374510187917, 16.1769042321823, 15.6615925135045,      16.3642048862006, 16.3759795802925, 15.8422849591204), PROX_ELDERLYCARE = c(0.633288957745621,      0.587171684565488, 0.497975502399054, 0.541237256511776,      0.836071823435323, 0.319622441582349, 0.471057675436291,      0.471057675436291, 0.706939892416911, 0.401697186037664,      0.268146833149962, 0.372962984236141, 0.372962984236141,      0.462412199513001, 0.426629771798313, 0.382017171357745,      0.372854461013726, 0.361422596457277, 0.437652472603004,      0.241353796602158), PROX_HAWKER = c(1.79301822351461, 1.64071314431986,      1.6566914426712, 2.1818192257633, 2.17952287051713, 1.7245004017694,      2.34701070601947, 2.34701070601947, 2.14655926815246, 2.44772974464855,      2.27183532495414, 2.45115541279444, 2.45115541279444, 2.51024920878341,      1.49196951764411, 2.55739022352562, 2.39243139523594, 1.67761333691466,      2.71828200917597, 2.37354129025836), PROX_MRT = c(0.159697283923578,      0.341199960643831, 0.297714051615291, 0.364450998520493,      0.290093838525113, 0.233994550027949, 0.424613907535265,      0.424613907535265, 0.460645764817668, 0.538616250543522,      0.370313443989706, 0.52727924180445, 0.52727924180445, 0.65447898159524,      0.164193456307044, 0.674610535324426, 0.499275570100955,      0.653367521351592, 0.870089952652958, 0.721786411333246),          PROX_PARK = c(0.678969217742802, 0.686441032296595, 0.782164021798725,          1.05372411430502, 0.886796559947336, 0.998254167239372,          1.30337713627377, 1.30337713627377, 0.711243459523284,          1.35146177086674, 1.16446299803307, 1.39203600576681,          1.39203600576681, 1.32632916723033, 0.786093050092807,          1.39748820590438, 1.19384102986047, 0.32735774848914,          1.49155883505512, 1.42084473696832), PROX_GOOD_PRISCH = c(6.09357654169244,          5.93514971647738, 5.84268664292306, 6.12314921566155,          6.4097782056775, 5.64801716169655, 5.99275530970335,          5.99275530970335, 6.77397603493671, 6.09534233388474,          5.73062396037349, 6.02718330754398, 6.02718330754398,          6.27623366830878, 5.37568176340172, 6.23706483495109,          5.71328270316738, 6.76031366250815, 6.4246273009838,          5.8611108446886), PROX_MALL = c(0.145699923430919, 0.310729806849059,          0.394873468760787, 0.45623102577182, 0.355568776497803,          0.455554164929496, 0.338688619983659, 0.338688619983659,          0.345326846187852, 0.275346491924215, 0.155488337640192,          0.238316612740974, 0.238316612740974, 0.370949542105629,          0.249545786638779, 0.292722816398213, 0.238209845871265,          0.388175183991252, 0.409369768138594, 0.177442774283774         ), PROX_CHAS = c(0.0723222156351423, 0.261893114523038,          0.28481487293308, 0.290215734280461, 0.121251060497272,          0.158017550603297, 0.338688583692834, 0.338688583692834,          0.286223989121013, 0.275346446899555, 0.155488306171375,          0.238316573509266, 0.238316573509266, 0.370949494121523,          0.193150290660334, 0.292722768811081, 0.238209795937414,          0.380772978950647, 0.409369730284335, 0.177442804982894         ), PROX_SUPERMARKET = c(0.157892159590583, 0.322774913149109,          0.407244625741832, 0.162067612034701, 0.350013224352412,          0.387973705585917, 0.112474666082431, 0.112474666082431,          0.377165028023417, 0.141316208924405, 0.152010752053411,          0.177610526119132, 0.177610526119132, 0.235998227482853,          0.200567401454574, 0.254565333705719, 0.238833101010687,          0.422789252098693, 0.389543937857684, 0.197153631350279         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 0L, 1L,          3L, 3L, 0L, 3L, 4L, 3L, 3L, 3L, 0L, 5L, 3L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 4L, 3L, 6L, 4L, 8L,          9L, 9L, 1L, 8L, 8L, 6L, 6L, 5L, 5L, 8L, 5L, 4L, 2L, 7L         ), WITHIN_350M_BUS = c(7L, 8L, 9L, 12L, 9L, 14L, 15L,          15L, 2L, 12L, 14L, 14L, 14L, 7L, 11L, 9L, 16L, 6L, 5L,          15L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 2L, 3L),          DNeighbour = c(0, 187.902716223266, 257.690808831548,          414.398453786611, 419.338776516853, 447.276953587558,          633.658659444422, 637.452372722176, 683.689769886315,          706.582368397461, 711.990254741948, 729.631260631975,          730.837553686769, 731.786914688594, 738.831811352517,          781.308096964766, 830.918268931056, 888.387352491677,          927.656569997097, 1010.11280670125)), row.names = c("510",      "196", "304", "888", "711", "383", "959", "927", "498", "463",      "450", "566", "490", "806", "387", "54", "572", "252", "974",      "585"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.931989427872321,      0.874072447912556, 0.69171690840563, 0.685018313953528, 0.646301892182898,      0.36781339160963, 0.36210312338893, 0.293634898822701, 0.260802266773466,      0.253179436311868, 0.228717715425886, 0.227069171356748,      0.225774042579679, 0.216227708486468, 0.161378504064725,      0.10454235129327, 0.0512984890962042, 0.0245228920718127,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1287419765 
R squared (OOB):                  -0.3223185 

$Forests[[511]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(405000, 415000, 422500,      4e+05, 365000, 440000, 425000, 450000, 415000, 428888, 385000,      420000, 468000, 420000, 395000, 408000, 425000, 415000, 365000,      380000), floor_area_sqm = c(106, 103, 104, 107, 84, 104,      104, 106, 84, 84, 84, 105, 106, 106, 103, 105, 104, 108,      103, 105), storey_order = c(2L, 2L, 3L, 1L, 4L, 3L, 4L, 2L,      3L, 3L, 2L, 2L, 5L, 3L, 4L, 1L, 2L, 2L, 1L, 1L), remaining_lease_mths = c(778,      768, 765, 912, 787, 752, 775, 919, 782, 774, 815, 787, 863,      874, 772, 797, 801, 891, 757, 775), PROX_CBD = c(13.2146489403719,      13.0537205387581, 13.4875816574924, 13.6047453762483, 13.5012180894848,      13.1913836000948, 13.5598735525989, 13.6245617307962, 12.8776183162857,      12.8776183162857, 13.8115996810708, 12.7549887608908, 13.629257933267,      13.629257933267, 13.1724132817366, 13.8987191813532, 13.9224032790502,      13.8459786715751, 13.0970803497533, 12.8173662852819), PROX_ELDERLYCARE = c(0.392334185262972,      0.569472877275307, 0.428841001075194, 0.271914041498034,      0.126566715598502, 0.779182108791446, 0.555470204987842,      0.120631950903102, 0.211786543917104, 0.211786543917104,      0.244605555667631, 0.556485595404089, 0.207468408301612,      0.207468408301612, 0.906244923447749, 0.166628987045545,      0.160860892679658, 0.429452782693922, 0.830352740740998,      0.548539301056628), PROX_HAWKER = c(1.1504484389926, 0.963287544217337,      1.41347495302278, 1.50728197565297, 1.32455892398921, 1.05769292681279,      1.44869421276883, 1.48009929412898, 0.677647820815747, 0.677647820815747,      1.71143518366979, 0.627642822312809, 1.4012681206183, 1.4012681206183,      1.03184370064912, 1.60647998640073, 1.57003684649171, 1.71981564227335,      0.973651338137405, 0.687183343617196), PROX_MRT = c(0.530339592860526,      0.551410176707671, 0.229256973107587, 0.222008379422339,      0.54422435083218, 0.577154139562059, 0.172867375742438, 0.357520644011877,      0.301948361527339, 0.301948361527339, 0.198072339225813,      0.561554903993597, 0.681065013996815, 0.681065013996815,      0.712767869041386, 0.337555536848429, 0.375491068655226,      0.2084775132707, 0.602819058882962, 0.607087114668938), PROX_PARK = c(0.763919329225246,      0.974634241933185, 1.00267286051928, 0.882483872449952, 0.593866981909781,      1.12092772213378, 1.16233583500127, 0.731000545087102, 0.246982674114576,      0.246982674114576, 0.925135888784, 1.16122098497616, 0.403276931712581,      0.403276931712581, 0.94305137750942, 0.83983547285748, 0.819174175884815,      1.1446906726086, 0.879464356596765, 0.953457314885518), PROX_GOOD_PRISCH = c(1.57814209766337,      1.48818847749708, 1.87202126825599, 1.96272742295518, 1.8351788996921,      1.6842887316892, 1.97663004084467, 1.96554365084008, 1.22334421357001,      1.22334421357001, 2.17137072991142, 1.29435567579286, 1.96779323327463,      1.96779323327463, 1.76071721252525, 2.24487256678893, 2.26578798898653,      2.27101821651052, 1.76550469910092, 1.5016146113424), PROX_MALL = c(0.655287065425073,      0.593340478429386, 0.948424723316687, 1.0427530371351, 0.956400108312903,      0.813382909306435, 1.05810160080284, 1.05956757611768, 0.503182159926002,      0.503182159926002, 1.25122768833936, 0.542723135774117, 1.12429495075828,      1.12429495075828, 0.808064657998832, 1.33259876169033, 1.34118728457461,      1.35153556565047, 0.655283448157635, 0.635314033644823),          PROX_CHAS = c(0.358071114142678, 0.203693673714882, 0.231037598077535,          0.15212794302602, 0.0648495538885981, 0.19044114280624,          0.180657994610612, 2.17172157220984e-06, 0.128785172156574,          0.128785172156574, 0.130123043615932, 0.144180959238343,          0.260044927245007, 0.260044927245007, 0.253073540027742,          0.0582471476749484, 0.0806372798138111, 0.345234103044859,          0.10733838099953, 0.149554006756045), PROX_SUPERMARKET = c(0.384538867225359,          0.349948262987797, 0.231037826802092, 0.353624023725788,          0.329742543966106, 0.190441743522314, 0.180658044884504,          0.237807435452358, 0.17067511852319, 0.17067511852319,          0.30366394922488, 0.150188458093997, 0.288903462518554,          0.288903462518554, 0.263318229535236, 0.2065347950197,          0.189550835904173, 0.426625283183798, 0.176189281490626,          0.14719471752053), WITHIN_350M_KINDERGARTEN = c(2L, 2L,          2L, 0L, 1L, 3L, 2L, 3L, 0L, 0L, 0L, 2L, 3L, 3L, 1L, 2L,          3L, 1L, 1L, 3L), WITHIN_350M_CHILDCARE = c(3L, 2L, 2L,          6L, 5L, 4L, 3L, 5L, 1L, 1L, 3L, 3L, 6L, 6L, 3L, 3L, 3L,          3L, 1L, 2L), WITHIN_350M_BUS = c(9L, 8L, 10L, 12L, 7L,          8L, 11L, 10L, 12L, 12L, 10L, 7L, 6L, 6L, 6L, 9L, 9L,          12L, 4L, 5L), WITHIN_1KM_PRISCH = c(6L, 6L, 5L, 5L, 4L,          5L, 6L, 4L, 4L, 4L, 5L, 5L, 2L, 2L, 4L, 4L, 3L, 5L, 4L,          5L), DNeighbour = c(0, 297.969025459365, 303.014678865782,          385.842716429632, 423.51995637463, 436.613888370715,          441.225497703907, 443.754401733303, 600.176020478872,          604.824550259316, 605.026307638971, 620.843591004816,          631.466973836983, 635.130856176484, 649.130291286247,          690.412982193905, 721.557464445106, 724.483296309706,          785.332564534867, 809.708669375887)), row.names = c("511",      "541", "663", "955", "264", "229", "564", "656", "259", "892",      "235", "215", "415", "503", "225", "531", "219", "970", "597",      "523"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.747497577168922,      0.73952141040257, 0.597418138214219, 0.527680676316714, 0.503018667432535,      0.494298246815129, 0.48950999351702, 0.203027767385109, 0.195401430672369,      0.195072416487518, 0.169822654642993, 0.153510215045521,      0.148013786576659, 0.127665539237478, 0.074505320681831,      0.0423879784011467, 0.0397724251655379, 0.00351687790040759,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       833650179 
R squared (OOB):                  -0.2260771 

$Forests[[512]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(324000, 320000, 330000,      333000, 345000, 378000, 4e+05, 375000, 394000, 310000, 395000,      378000, 380000, 368888, 320000, 345000, 335000, 364000, 350000,      295000), floor_area_sqm = c(90, 100, 102, 100, 102, 92, 92,      92, 92, 91, 92, 92, 92, 92, 101, 102, 100, 100, 102, 101),          storey_order = c(4L, 4L, 1L, 4L, 2L, 3L, 4L, 2L, 5L,          4L, 3L, 2L, 4L, 4L, 1L, 4L, 4L, 2L, 4L, 1L), remaining_lease_mths = c(929,          930, 911, 928, 927, 1133, 1145, 1135, 1142, 927, 1132,          1136, 1135, 1143, 924, 926, 930, 921, 923, 917), PROX_CBD = c(18.3448727328387,          18.242108360018, 18.2320763538069, 18.2095446148373,          18.2868848905217, 18.5541585191533, 18.4659506582063,          18.5586196198757, 18.5586196198757, 18.6571260927441,          18.4477570786683, 18.6831604018118, 18.528449956106,          18.528449956106, 18.0902268845521, 18.236688278315, 17.9186379864086,          17.9386403893839, 18.0569924715364, 18.4986491838169),          PROX_ELDERLYCARE = c(1.12000720290482, 1.08331104464233,          0.927534095024191, 1.17430183890643, 0.896456720381782,          1.3934670212363, 1.40960952841152, 1.41981179339616,          1.41981179339616, 1.27166470727688, 1.45029388933935,          1.47678345842271, 1.49671415705568, 1.49671415705568,          0.706169610995159, 0.732088251039709, 1.13507400842797,          0.714833653499633, 0.59750504274373, 0.86418951980865         ), PROX_HAWKER = c(0.636376603494217, 0.548257960059823,          0.493410913505403, 0.579651089601917, 0.547085889030319,          0.899006211509986, 0.861254406292383, 0.915906485722884,          0.915906485722884, 0.924657565926692, 0.879695992543251,          1.01746494726896, 0.947708217710491, 0.947708217710491,          0.370412154176866, 0.537987121264097, 0.435091735724103,          0.201936965562497, 0.391180253405874, 0.838043969781633         ), PROX_MRT = c(0.565211037998289, 0.47401652613315,          0.433316978327494, 0.501132314022455, 0.495991449430539,          0.823747240068891, 0.783375472664302, 0.839968978875504,          0.839968978875504, 0.861078471223358, 0.801027338961469,          0.943619619760125, 0.869531291623609, 0.869531291623609,          0.341202563029131, 0.511061821383635, 0.364011265623101,          0.168914117564514, 0.384524332485438, 0.812751343363136         ), PROX_PARK = c(2.08056453235766, 2.12857307310705,          1.96114614265628, 2.25371860749481, 1.86697967968657,          2.22642888666982, 2.321508063195, 2.25577949184332, 2.25577949184332,          1.95136051888807, 2.38376543636855, 2.2148581526701,          2.37596217173297, 2.37596217173297, 1.8531048262974,          1.7164330470264, 2.31505119222808, 1.99379565561889,          1.77011013021076, 1.49181484955502), PROX_GOOD_PRISCH = c(8.81498363377987,          8.71021480286832, 8.72297519828522, 8.6635222339794,          8.78822500750919, 9.00155567304774, 8.90481615501782,          9.00274768401056, 9.00274768401056, 9.13456945987866,          8.8804818877731, 9.12987022396436, 8.9605147002348, 8.9605147002348,          8.60631027953587, 8.76378557853615, 8.3676789538936,          8.4444135457925, 8.58956131155308, 9.04519470993137),          PROX_MALL = c(0.284195187673565, 0.347669457974494, 0.22704735136933,          0.468966497593582, 0.1450338527091, 0.475387173022169,          0.542775018358786, 0.5054917244252, 0.5054917244252,          0.300602441432182, 0.601716003339109, 0.525391611000181,          0.613385110580272, 0.613385110580272, 0.342860958869265,          0.240339889961931, 0.384238747959315, 0.238372860218233,          0.407254736414821, 0.305101649121832), PROX_CHAS = c(0.24769320941352,          0.274735402884708, 0.11607611654581, 0.3998394205418,          0.0217240252323136, 0.0809306171135589, 0.20305264112251,          0.101888085354885, 0.101888085354885, 0.214120710257936,          0.260006933015678, 0.090990597005735, 0.220932244035638,          0.220932244035638, 0.209799590563819, 0.184864523484869,          0.360842629752134, 0.076984763134016, 0.222103720735081,          0.305101651313883), PROX_SUPERMARKET = c(0.284194910851331,          0.347668959247477, 0.227046556279957, 0.402574253870019,          0.145032957963293, 0.080929224247632, 0.203051245143547,          0.101886801165025, 0.101886801165025, 0.214121714630789,          0.260005577706646, 0.0909910491430168, 0.220931072377982,          0.220931072377982, 0.342860053820009, 0.240339157209448,          0.360842909613722, 0.171190500184261, 0.385535197909366,          0.305101855713295), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 1L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L,          2L, 1L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(5L, 3L,          5L, 2L, 7L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 6L, 6L,          1L, 6L, 4L, 6L), WITHIN_350M_BUS = c(8L, 7L, 10L, 8L,          9L, 8L, 6L, 5L, 5L, 8L, 8L, 5L, 6L, 6L, 7L, 7L, 11L,          8L, 9L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L,          4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 5L, 6L, 3L, 5L, 6L,          4L), DNeighbour = c(0, 101.207548353436, 195.536617570354,          198.89087759874, 247.546531760688, 279.981385633049,          291.14689101713, 301.324371481969, 304.741319651432,          324.389591237604, 339.612036929075, 381.994912651849,          382.673706186497, 383.34570512415, 410.687508975464,          426.042155467397, 471.865693517048, 474.87135003657,          525.490931361404, 590.387635193302)), row.names = c("512",      "608", "443", "243", "787", "563", "777", "35", "581", "761",      "504", "664", "102", "875", "74", "227", "590", "638", "491",      "684"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.94209011463859,      0.792645305701633, 0.785901080200831, 0.679292084390062,      0.600784541518122, 0.57275790562935, 0.546872417346752, 0.538120393745686,      0.487347296796464, 0.447700034879385, 0.337979528118952,      0.336250288901604, 0.334539715199797, 0.266367422333999,      0.229678997875448, 0.130468209914526, 0.124637241185997,      0.04316484015259, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       393019573 
R squared (OOB):                  0.5872602 

$Forests[[513]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(388000, 395000, 360000,      368000, 398000, 325000, 335000, 370000, 325000, 385000, 4e+05,      335000, 408000, 333000, 361000, 375000, 328000, 369000, 360000,      390000), floor_area_sqm = c(100, 101, 104, 100, 100, 85,      93, 98, 84, 101, 103, 84, 100, 84, 84, 90, 84, 94, 103, 101     ), storey_order = c(4L, 4L, 2L, 2L, 2L, 1L, 5L, 2L, 5L, 3L,      3L, 2L, 4L, 3L, 4L, 5L, 4L, 5L, 1L, 4L), remaining_lease_mths = c(922,      936, 804, 923, 924, 830, 921, 912, 812, 952, 796, 796, 921,      823, 794, 946, 806, 942, 798, 932), PROX_CBD = c(10.3133134299625,      10.5347600839054, 10.0879656312395, 10.5911430304609, 10.2027088676681,      10.1989356004427, 10.6321305837804, 10.6430674352334, 9.87023127008802,      10.5394819073022, 10.2571858212528, 10.2571858212528, 10.7481925626994,      9.85122377146013, 10.1908965186918, 10.5038890156487, 10.2439629519707,      10.5038890156487, 10.1540744969693, 10.247812625002), PROX_ELDERLYCARE = c(1.4124150938613,      1.31633228018286, 1.31022889057949, 1.2745451415541, 1.63738856945076,      1.08623091115154, 1.32435226249417, 1.10983952182968, 1.35138892750767,      1.55101586165687, 0.969336561855173, 0.969336561855173, 1.00181077128688,      0.999223533815273, 0.891997547710976, 1.64894906385774, 0.904720646157319,      1.64894906385774, 0.85844301108046, 1.89270432318243), PROX_HAWKER = c(0.0623262564011618,      0.259744380023822, 0.196699811405185, 0.314632743063994,      0.264427923442986, 0.368744432216956, 0.382898898882956,      0.494234864614673, 0.410023469086153, 0.463304434183495,      0.543600998034675, 0.543600998034675, 0.591883114810231,      0.526313717816828, 0.594526114354717, 0.53455823354733, 0.616195579705155,      0.53455823354733, 0.614574465644474, 0.561647681218514),          PROX_MRT = c(1.09471398918577, 1.15842683571226, 1.09046737609619,          1.14211364891441, 1.392302848886, 0.78040997284139, 1.20430491709432,          0.91242151857363, 1.23646610314009, 1.31136747445593,          0.5984056038899, 0.5984056038899, 0.80807654444201, 0.907717901248049,          0.554399001312584, 1.36742764633517, 0.52596302633555,          1.36742764633517, 0.544743966599557, 1.63637339364314         ), PROX_PARK = c(0.826294351272671, 1.00657829367171,          0.604882226694947, 0.997953552798557, 0.728383914708498,          0.808282577864154, 0.852996238213812, 1.09293299728603,          0.375073916060521, 0.594979546415276, 0.690393008756984,          0.690393008756984, 1.13130385684233, 0.510337594738446,          0.61263038213259, 0.486479545769779, 0.626908579085899,          0.486479545769779, 0.578916018382343, 0.443665461164749         ), PROX_GOOD_PRISCH = c(0.993301788551023, 1.12709017589061,          0.87937610392538, 1.15731102426836, 0.689163418131917,          1.199846441039, 1.09467860924251, 1.4206810513637, 0.706117631385061,          0.89296386953394, 1.38840710840139, 1.38840710840139,          1.51127824976447, 1.05242409875061, 1.40421671412888,          0.819356328881161, 1.44855804010835, 0.819356328881161,          1.40445923276907, 0.550324531917386), PROX_MALL = c(0.450275200033962,          0.464767570965945, 0.441232897113797, 0.441630162720786,          0.12742430838485, 0.663851500718272, 0.512358501951296,          0.220538248250442, 0.445899708163642, 0.357726596913911,          0.638527944164543, 0.638527944164543, 0.114469773448463,          0.756051767526383, 0.685823836221668, 0.3366209001709,          0.644656189163291, 0.3366209001709, 0.685950169481642,          0.190941194230935), PROX_CHAS = c(0.071192987667569,          0.272565000598528, 0.177420148260447, 0.327465416824022,          0.127424254451578, 0.0710453772718398, 0.394471723674887,          0.0703959269798554, 0.0764125853219005, 0.263233285458842,          0.0819899420632749, 0.0819899420632749, 0.0793642323922721,          3.39583191183935e-08, 0.151788880767358, 0.232134688144963,          0.155315138624813, 0.232134688144963, 0.170954716034814,          0.190941257524933), PROX_SUPERMARKET = c(0.330151298165832,          0.464768447350912, 0.320748009942088, 0.441631117888638,          0.129189539659537, 0.00115080458448496, 0.447614574279886,          0.220538485726081, 0.158655939798418, 0.263232243208913,          0.123486578338512, 0.123486578338512, 0.114469867006585,          0.350225948243757, 0.152401712794372, 0.232133828519976,          0.18505229065347, 0.232133828519976, 0.171715993026927,          0.19229406714866), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          0L, 1L, 0L, 0L, 2L, 0L, 1L, 2L, 0L, 0L, 1L, 0L, 0L, 2L,          0L, 2L, 0L, 3L), WITHIN_350M_CHILDCARE = c(4L, 1L, 5L,          1L, 6L, 4L, 3L, 2L, 5L, 6L, 2L, 2L, 4L, 3L, 2L, 5L, 1L,          5L, 2L, 10L), WITHIN_350M_BUS = c(15L, 15L, 11L, 13L,          13L, 12L, 12L, 13L, 8L, 15L, 10L, 10L, 10L, 10L, 12L,          11L, 10L, 11L, 14L, 10L), WITHIN_1KM_PRISCH = c(4L, 4L,          5L, 4L, 4L, 4L, 4L, 6L, 5L, 4L, 5L, 5L, 6L, 4L, 6L, 4L,          6L, 4L, 5L, 4L), DNeighbour = c(0, 216.775366116525,          225.482326018274, 276.323568769269, 324.739619639568,          330.587280026708, 372.997557028694, 422.963437432667,          456.286220104143, 488.339589262444, 494.882254291694,          499.127991247535, 526.435281049864, 531.568071814682,          553.60267048366, 568.259749473879, 570.848372733972,          573.363751459651, 575.233434114115, 616.798997296196)), row.names = c("513",      "577", "292", "718", "771", "967", "975", "627", "755", "769",      "494", "591", "866", "129", "447", "942", "668", "734", "560",      "667"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.768219555738312,      0.750578995131948, 0.638879627159769, 0.522449056404611,      0.507989063348314, 0.402336814357574, 0.280647072027474,      0.204980716165678, 0.139248550229097, 0.126914905480556,      0.119134037130156, 0.0737367523402476, 0.0661883008892956,      0.037798877286488, 0.0228607886349449, 0.0205770552666957,      0.0184638659195204, 0.0169616791997458, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       611288424 
R squared (OOB):                  0.18339 

$Forests[[514]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(308000, 326000, 348000,      336000, 320000, 362000, 370000, 380000, 380000, 360000, 325000,      416000, 370000, 370000, 340000, 380000, 340000, 320800, 338000,      355000), floor_area_sqm = c(90, 101, 95, 90, 91, 94, 95,      93, 93, 93, 90, 93, 93, 93, 90, 93, 102, 92, 94, 94), storey_order = c(2L,      1L, 1L, 2L, 1L, 4L, 5L, 2L, 2L, 2L, 4L, 6L, 1L, 4L, 4L, 2L,      2L, 1L, 2L, 4L), remaining_lease_mths = c(948, 942, 968,      966, 980, 976, 977, 1132, 1136, 1135, 973, 1132, 1125, 1142,      1011, 1134, 968, 965, 1076, 1070), PROX_CBD = c(17.5548574672099,      17.6460086713989, 18.0323194354466, 18.263890012402, 18.4122801485573,      18.3273029006797, 18.2449080671561, 18.1279148711176, 18.1376577985599,      18.1376577985599, 18.5353901232527, 18.2305685201872, 18.2305685201872,      18.1918996486136, 18.5954829873069, 18.2143914696608, 18.6342583478867,      16.3149444157129, 18.893500205596, 18.9417612550563), PROX_ELDERLYCARE = c(2.64072586785555,      2.69583292953839, 2.88259030935981, 2.93603771613334, 3.05606256580079,      2.7120525382807, 2.54228790651909, 2.51087611030153, 2.49441526227585,      2.49441526227585, 3.18651864771223, 2.5602844754638, 2.5602844754638,      2.49884668013329, 3.21245115339435, 2.48612553786713, 2.72992435028626,      1.76400828031834, 3.10102691254995, 3.09832013994742), PROX_HAWKER = c(0.624754154933827,      0.543702723258422, 0.459055170630849, 0.135415800319106,      0.284310921582288, 0.729165861663657, 0.859760115655931,      0.487567663506197, 0.528296501129656, 0.528296501129656,      0.491879726860981, 0.555435817196439, 0.555435817196439,      0.600683099416637, 0.468862715548992, 0.65924673205969, 0.947673142820091,      0.267171899978326, 0.926259022488312, 0.981837341088666),          PROX_MRT = c(0.605396305517498, 0.514213843772978, 0.228324090957444,          0.269488316579814, 0.34633408104891, 0.470919202147399,          0.597257652192269, 0.74928998522808, 0.789676869843372,          0.789676869843372, 0.375479822529604, 0.810957189319413,          0.810957189319413, 0.859544339931905, 0.485913485771313,          0.88189566435518, 0.717283111076423, 0.980548762507945,          0.777214903782309, 0.831940647091921), PROX_PARK = c(0.801838254358626,          0.873328686748902, 1.25712692932115, 0.826451671225411,          0.872887750975024, 1.51959638840156, 1.66089445329223,          0.317511189836545, 0.276326305891841, 0.276326305891841,          1.15334089580929, 0.269300347674678, 0.269300347674678,          0.210024151789668, 0.966363588730214, 0.161329073171627,          1.68545701841371, 0.504828773517413, 1.53153013283021,          1.58031197441792), PROX_GOOD_PRISCH = c(7.89964805631792,          7.99076792195858, 8.37645219680457, 8.61262144573917,          8.76068312560123, 8.6741083827629, 8.59525181849715,          8.49670627721454, 8.50873818737911, 8.50873818737911,          8.87993213136606, 8.60245346442475, 8.60245346442475,          8.56698720173726, 8.94334048589707, 8.59299650088468,          8.98296462693421, 6.672975925328, 9.23793284137011, 9.2863930262578         ), PROX_MALL = c(0.456293365362214, 0.441435937338541,          0.12060760008054, 0.374925429890344, 0.458641270318743,          0.437943127987326, 0.537890109309282, 0.819155488013484,          0.814982856398022, 0.814982856398022, 0.460655941356388,          0.89702383385846, 0.89702383385846, 0.849415447505653,          0.594166870248601, 0.861156548991099, 0.719594778264249,          0.965701391482886, 0.833273819621717, 0.886414086630636         ), PROX_CHAS = c(0.456293399812874, 0.441435968696221,          0.120607657412939, 0.0541347282504724, 0.182706372800723,          0.319053536773146, 0.274147949012332, 0.0462043949149095,          0.0547102897319272, 0.0547102897319272, 0.165734202429707,          0.080524556228062, 0.080524556228062, 0.110754204684376,          0.186588167457245, 0.170239874320939, 0.294409401108374,          0.215258950862385, 0.143741090403558, 0.0880613138842689         ), PROX_SUPERMARKET = c(0.425112192123464, 0.446325988440648,          0.119017844673248, 0.0541355525390397, 0.182706945219403,          0.198027823348086, 0.161035318973668, 0.467157902200199,          0.504768063926141, 0.504768063926141, 0.167679568764744,          0.512175097136782, 0.512175097136782, 0.565642852259794,          0.195869762300225, 0.532940464268134, 0.247755307750907,          0.357579925001748, 0.218188374485768, 0.175726554209016         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 0L, 2L, 0L,          0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 2L, 0L, 1L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 4L, 5L, 7L, 6L,          4L, 3L, 2L, 2L, 7L, 3L, 3L, 2L, 4L, 3L, 4L, 1L, 4L, 4L         ), WITHIN_350M_BUS = c(8L, 11L, 14L, 11L, 12L, 12L, 9L,          10L, 10L, 10L, 12L, 7L, 7L, 6L, 10L, 6L, 5L, 8L, 8L,          8L), WITHIN_1KM_PRISCH = c(2L, 3L, 4L, 4L, 5L, 5L, 5L,          2L, 2L, 2L, 5L, 2L, 2L, 2L, 5L, 2L, 4L, 3L, 4L, 4L),          DNeighbour = c(0, 92.7089873473304, 513.278564089624,          749.79808294274, 886.273666954013, 888.890379232957,          906.615573777529, 927.048768125042, 962.971946312216,          963.073539369301, 978.630915271455, 1033.97629921029,          1040.70714743701, 1046.38372112551, 1055.20653000554,          1106.16551415626, 1199.79367543202, 1323.80210045305,          1361.96426985322, 1416.89464071301)), row.names = c("514",      "456", "354", "548", "722", "873", "5", "461", "285", "378",      "838", "401", "770", "600", "901", "790", "7", "980", "745",      "932"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.991455868941407,      0.754762357403334, 0.518348467183488, 0.370569734053571,      0.36775810396278, 0.348782307895725, 0.327086726030152, 0.28954681059556,      0.289441927497459, 0.273478027288779, 0.218525937856093,      0.212071107319146, 0.206670636558927, 0.198358454620727,      0.152499671533022, 0.0800713717732321, 0.016151077417378,      0.00578106464982979, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       407949422 
R squared (OOB):                  0.4336639 

$Forests[[515]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(660000, 580000, 620000,      530000, 552000, 355000, 472000, 688000, 375000, 408000, 407000,      750000, 755000, 685000, 805000, 510000, 5e+05, 590000, 820000,      825000), floor_area_sqm = c(90, 100, 102, 111, 100, 82, 84,      85, 82, 84, 82, 90, 90, 85, 104, 93, 103, 107, 87, 87), storey_order = c(10L,      4L, 3L, 1L, 1L, 2L, 2L, 4L, 3L, 6L, 5L, 11L, 5L, 4L, 3L,      4L, 1L, 1L, 9L, 5L), remaining_lease_mths = c(993, 1013,      908, 767, 910, 656, 799, 964, 645, 647, 661, 1035, 1038,      1038, 919, 746, 773, 742, 1136, 1136), PROX_CBD = c(5.00856672458725,      4.79843685927635, 4.95292174150019, 4.3501519248406, 4.64904487497998,      3.73116287154914, 4.27761841825855, 3.98134497452694, 3.68559345068932,      5.38657645344473, 3.63085360417079, 4.88070069409732, 4.88070069409732,      4.89531124268982, 4.1456930527125, 3.46549777590634, 3.24578829573265,      6.87314974277175, 4.59114385332588, 4.59114385332588), PROX_ELDERLYCARE = c(0.403456137693205,      0.72206466606869, 0.0718437191527097, 0.203630745919553,      0.374326446996408, 0.501456868829436, 0.0937624362906392,      0.168717999980802, 0.466665237090727, 0.465891927060243,      0.233260955843543, 0.312658206579851, 0.312658206579851,      0.307888742732217, 0.45180890917037, 0.22080460703487, 0.461566734593474,      1.97763637144091, 0.125633226962327, 0.125633226962327),          PROX_HAWKER = c(0.327438715714418, 0.669525197575465,          0.126776661941161, 0.509657348502929, 0.28049665267082,          0.311969910328466, 0.566432501893156, 0.262344394473714,          0.28293755865871, 0.351855498276287, 0.0974836441417274,          0.595417483526792, 0.595417483526792, 0.546104933523636,          0.668394095052703, 0.288924403117312, 0.461305554076076,          0.529030079246562, 0.762382071136897, 0.762382071136897         ), PROX_MRT = c(0.699181106494864, 1.13446368103879,          0.804865461788644, 0.533693046359433, 0.763812758173444,          1.10221151459309, 0.40356540460373, 0.310254962870727,          1.17490863944549, 0.675587286197546, 0.897060452829867,          0.314337158810329, 0.314337158810329, 0.275254866694397,          0.413017272318271, 0.855873415641472, 1.11057161001852,          0.494712046441376, 0.586728793826683, 0.586728793826683         ), PROX_PARK = c(0.344858191728297, 0.279857584881724,          0.908868407872405, 0.941534540217125, 1.08394438059851,          0.271761978726623, 1.11098670131371, 0.894232249415992,          0.304435062988112, 1.05249384295472, 0.512523364266062,          1.53366372097489, 1.53366372097489, 1.60860995669454,          1.16828897329218, 0.78484111030831, 0.856773721705297,          0.176375266825028, 1.65596921250538, 1.65596921250538         ), PROX_GOOD_PRISCH = c(4.86324650242379, 4.40925832010736,          3.66355651606602, 3.77462248476967, 3.57098970158234,          5.22570836776045, 3.63213704613537, 3.868083844602, 5.15997579188296,          3.52335384407219, 5.4842432173218, 3.0451226436528, 3.0451226436528,          2.96671225712824, 3.20846684942761, 5.67094725420518,          5.51078547454581, 4.84886314545753, 2.86977258716747,          2.86977258716747), PROX_MALL = c(1.20968740927381, 0.830412122132217,          0.209686974260184, 0.812522711759855, 0.528365937160055,          1.41171259857663, 0.890632544268956, 1.18273225000282,          1.3376464242075, 0.184401966361696, 1.51733094855201,          0.63262312230698, 0.63262312230698, 0.696065710972082,          1.18405339004253, 1.56665946009711, 1.33172083977874,          1.63517626604001, 0.992224857230604, 0.992224857230604         ), PROX_CHAS = c(0.358299181925541, 0.120011087306801,          0.176171654931402, 0.237239443458304, 0.251376462502101,          0.261237260735983, 0.116543108560641, 0.145112311632742,          0.216565147674259, 0.131272369045618, 0.318203164684035,          0.278004299073392, 0.278004299073392, 0.22404402777184,          0.401816380076581, 0.173647795570322, 0.0869328465249217,          0.513974468339749, 0.156405874770629, 0.156405874770629         ), PROX_SUPERMARKET = c(0.395196557309087, 0.0907294343182455,          0.176171398022836, 0.125937465506006, 0.311533400888457,          0.301923436189205, 0.205058734443685, 0.252387257990654,          0.252487697752149, 0.182486832055582, 0.318204198369299,          0.278004958714438, 0.278004958714438, 0.224044642536509,          0.431453687618191, 0.173649067116538, 0.0869315055470345,          0.902139539206624, 0.156405662038775, 0.156405662038775         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 2L, 0L, 0L, 1L,          0L, 1L, 1L, 1L, 0L, 5L, 5L, 5L, 1L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 2L, 1L, 5L, 2L, 3L,          5L, 3L, 3L, 1L, 1L, 5L, 5L, 4L, 1L, 1L, 2L, 1L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 6L, 7L, 13L, 12L, 9L, 14L,          12L, 10L, 8L, 11L, 8L, 8L, 9L, 7L, 9L, 6L, 0L, 7L, 7L         ), WITHIN_1KM_PRISCH = c(1L, 2L, 2L, 1L, 2L, 2L, 1L,          1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 0L, 1L, 1L),          DNeighbour = c(0, 468.523549630368, 1195.59358830734,          1232.21839946302, 1317.87234062668, 1403.14941148661,          1409.6530999316, 1410.14527174391, 1417.38454471145,          1469.13228694397, 1636.32906670282, 1813.84835474021,          1816.20426025696, 1888.83125726421, 1904.77446725277,          1907.70467301466, 1996.05381258217, 2014.4569513806,          2042.60793582079, 2043.76547304075)), row.names = c("515",      "610", "216", "348", "140", "432", "709", "375", "683", "130",      "742", "39", "982", "916", "320", "454", "192", "765", "768",      "333"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.897655079241412,      0.432674889405834, 0.405122822968139, 0.341289544560339,      0.279468287084196, 0.274856912458408, 0.274508640614927,      0.269397565764283, 0.233554476487779, 0.128858592857848,      0.0450874716913136, 0.044222169612272, 0.0212779249174487,      0.0172632370466746, 0.0165675854331435, 0.00212935811190415,      0.000810840226813994, 1.28239494044281e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       14065031132 
R squared (OOB):                  0.3826232 

$Forests[[516]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(550000, 589000, 498000,      550000, 510000, 532000, 520000, 495000, 398000, 437000, 415000,      535000, 545000, 525000, 455000, 412000, 395000, 490000, 530000,      420000), floor_area_sqm = c(95, 96, 93, 98, 97, 96, 93, 93,      93, 93, 93, 93, 93, 97, 92, 90, 90, 95, 95, 93), storey_order = c(4L,      6L, 2L, 4L, 2L, 4L, 4L, 5L, 1L, 2L, 2L, 4L, 5L, 3L, 4L, 3L,      1L, 2L, 4L, 1L), remaining_lease_mths = c(1115, 1111, 1102,      1103, 1104, 1111, 1118, 1080, 1077, 1076, 1071, 1118, 1127,      1098, 1133, 1034, 997, 1111, 1106, 1101), PROX_CBD = c(13.9206851659757,      13.8838492138892, 13.8269911518463, 13.7784857598507, 13.7787547800329,      13.8842234613226, 13.7912064237251, 14.2035293519974, 14.2040057462849,      14.2040057462849, 14.2040057462849, 13.8964286142315, 13.8964286142315,      14.3488328635023, 13.5263069451707, 13.9701294998534, 13.4480864429089,      13.7780295697528, 14.4087790426081, 14.3298082323417), PROX_ELDERLYCARE = c(0.410984632703067,      0.321249151015697, 0.272443342502121, 0.303554199654945,      0.357313426679343, 0.284905700992106, 0.194902312085005,      0.685279068417721, 0.732225931930739, 0.732225931930739,      0.732225931930739, 0.28821019895416, 0.28821019895416, 0.805205193908325,      0.13293861465481, 0.798789790509628, 0.38095926022983, 0.24280876806526,      0.87860471100088, 0.943112693551276), PROX_HAWKER = c(0.63246529422046,      0.661984274687099, 0.718894335359525, 0.771130061467184,      0.779750574682814, 0.667389882084889, 0.761066408094757,      0.384064154962602, 0.429643877236979, 0.429643877236979,      0.429643877236979, 0.700607063348248, 0.700607063348248,      0.28631929470226, 1.0232116664491, 0.796241674024292, 1.11021170000921,      0.855348356505915, 0.295591155505828, 0.494981643036057),          PROX_MRT = c(0.247793554682504, 0.202599849124069, 0.250191496834268,          0.334453451125385, 0.373119808041594, 0.172676244118343,          0.263976344610204, 0.289240493397468, 0.339881548667158,          0.339881548667158, 0.339881548667158, 0.214342865325431,          0.214342865325431, 0.320519516131068, 0.529059791722705,          0.262922949537813, 0.436627689790507, 0.290902656750774,          0.258499173090988, 0.122691316210064), PROX_PARK = c(0.9355470513087,          0.953674473627188, 1.00953333913803, 1.07038952907209,          1.07510958061046, 0.946790994443363, 1.03946212768551,          0.69423802629866, 0.735378016798131, 0.735378016798131,          0.735378016798131, 0.945155408432775, 0.945155408432775,          0.585388118838944, 1.00320858387115, 0.929619749314005,          0.782217598170287, 1.08412864631293, 0.572778275466331,          0.760551135167525), PROX_GOOD_PRISCH = c(4.55661004860153,          4.48950135049007, 4.43409233459216, 4.41640053984819,          4.43794264479214, 4.46427355245829, 4.37243865161908,          4.84858590291698, 4.87692111553996, 4.87692111553996,          4.87692111553996, 4.42474408393319, 4.42474408393319,          4.99658730632735, 4.12550653324601, 4.76155598853922,          4.1394886986689, 4.27934963146811, 5.07040230577432,          5.05687720866847), PROX_MALL = c(0.441605558767423, 0.415387276861254,          0.464449368072494, 0.546157830895501, 0.579723774298741,          0.384398044205003, 0.47180896375681, 0.37351280301214,          0.458083927679449, 0.458083927679449, 0.458083927679449,          0.36232957329041, 0.36232957329041, 0.415696526053807,          0.734460127270614, 0.698652085628877, 0.747053206605742,          0.507308338763366, 0.48422641650143, 0.644100917109673         ), PROX_CHAS = c(0.230184731543739, 0.130388475133542,          0.093713435160417, 0.171232412843018, 0.2330532561781,          0.0936868185767241, 3.14247486029477e-08, 0.170907589664044,          0.0920652608940773, 0.0920652608940773, 0.0920652608940773,          0.190952462752685, 0.190952462752685, 0.232702657922268,          0.164485608616764, 0.224338502615803, 0.419877338676521,          0.246000912873009, 0.263312743704905, 0.116678641770301         ), PROX_SUPERMARKET = c(0.23018467784701, 0.130388583033251,          0.0937132175773042, 0.171231859107883, 0.233052713938452,          0.093687407280864, 8.52808058992138e-07, 0.170908382081647,          0.0920659899308881, 0.0920659899308881, 0.0920659899308881,          0.190953240917096, 0.190953240917096, 0.232703172737007,          0.265115106421715, 0.281017798180362, 0.428569074432488,          0.271122867675942, 0.263313051629592, 0.116679779166118         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 2L, 0L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 5L, 5L, 4L, 3L,          4L, 5L, 5L, 5L, 5L, 4L, 4L, 6L, 5L, 7L, 5L, 4L, 6L, 7L         ), WITHIN_350M_BUS = c(13L, 9L, 8L, 7L, 11L, 7L, 8L,          9L, 9L, 9L, 9L, 9L, 9L, 9L, 2L, 13L, 4L, 9L, 10L, 9L),          WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 6L, 8L, 5L, 5L, 5L,          5L, 5L, 5L, 5L, 5L, 6L, 6L, 8L, 7L, 6L, 5L, 5L), DNeighbour = c(0,          108.236893679684, 139.264306394208, 147.278176390803,          150.878886549684, 188.104639590094, 235.14831818918,          292.637478937446, 319.486286487166, 321.247999215037,          323.175266785299, 359.547028427265, 361.079056203465,          440.299557157894, 441.166717791314, 446.310341852812,          477.854737560916, 492.432595721996, 509.20347772975,          524.065226184004)), row.names = c("516", "723", "376",      "837", "549", "670", "420", "66", "448", "911", "272", "760",      "442", "363", "779", "301", "655", "282", "969", "688"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.9165075672554, 0.863752854262887, 0.848281532031934, 0.841096313327929,      0.758931317411096, 0.637870382301906, 0.473606299071822,      0.394824132586851, 0.389675978543171, 0.384050642950145,      0.28016248017139, 0.275923233942234, 0.0865114186699816,      0.0848819662385424, 0.0754733612767521, 0.0284188047284969,      0.0137069915981544, 0.00312625924901111, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1765625554 
R squared (OOB):                  0.4929504 

$Forests[[517]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 370000, 362000,      4e+05, 4e+05, 423888, 412000, 418000, 367000, 390000, 415000,      415000, 416000, 433000, 428000, 420000, 395000, 365000, 4e+05,      310000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 93, 92, 92, 92, 92, 92, 92, 92, 92, 105), storey_order = c(3L,      1L, 1L, 3L, 2L, 5L, 5L, 5L, 1L, 2L, 4L, 5L, 4L, 4L, 4L, 5L,      2L, 1L, 2L, 3L), remaining_lease_mths = c(1144, 1146, 1135,      1143, 1137, 1136, 1144, 1138, 1137, 1139, 1141, 1144, 1140,      1130, 1140, 1143, 1146, 1137, 1130, 827), PROX_CBD = c(15.9392575628934,      15.87024444961, 15.9297907572658, 16.0475930141239, 16.0475930141239,      15.9500375777464, 16.0903666266177, 16.0903666266177, 16.0903666266177,      16.0085061296439, 15.719551353229, 15.9533618390172, 16.055983361932,      16.055983361932, 16.1831859860721, 16.1537572283104, 16.0046521285213,      16.0046521285213, 16.1976566517324, 15.6029325535915), PROX_ELDERLYCARE = c(0.0436662178849567,      0.10693627682917, 0.0463608633689567, 0.129564145964732,      0.129564145964732, 0.0923316964070077, 0.179967723198436,      0.179967723198436, 0.179967723198436, 0.133825008100465,      0.251997184681221, 0.251148223850536, 0.146417557277997,      0.146417557277997, 0.0701319802482612, 0.0462823216560119,      0.20718686492254, 0.20718686492254, 9.89208662673193e-07,      0.338118814836049), PROX_HAWKER = c(0.765854363537175, 0.694651515851724,      0.768716574287481, 0.872301448799324, 0.872301448799324,      0.798502368740115, 0.9143232220583, 0.9143232220583, 0.9143232220583,      0.86073340068049, 0.543607139892928, 0.802087399746937, 0.897672222950446,      0.897672222950446, 1.00994702859189, 0.986028325459381, 0.855932206484513,      0.855932206484513, 1.03146250928298, 0.432858942767381),          PROX_MRT = c(1.14464062157712, 1.09555222562317, 1.23034399571509,          1.14436247830993, 1.14436247830993, 1.27956490520873,          1.13213387762555, 1.13213387762555, 1.13213387762555,          1.31406230168452, 1.04322565796881, 0.8851452059773,          0.936151237003446, 0.936151237003446, 1.08237519657155,          1.02112351286352, 0.883219311345816, 0.883219311345816,          1.02706758196582, 1.13678031777592), PROX_PARK = c(0.777956069134633,          0.707790886000148, 0.846978318526899, 0.824988291997923,          0.824988291997923, 0.8970097589344, 0.83568858459355,          0.83568858459355, 0.83568858459355, 0.947603217866828,          0.60075194434184, 0.589052524814441, 0.683762717294504,          0.683762717294504, 0.848434833813522, 0.793519520304926,          0.619767633008914, 0.619767633008914, 0.822565203699192,          0.578149656320062), PROX_GOOD_PRISCH = c(6.57394481891556,          6.49806658702102, 6.58539462985877, 6.67335529701902,          6.67335529701902, 6.61604918176311, 6.70919168347838,          6.70919168347838, 6.70919168347838, 6.67823761190993,          6.34176102939636, 6.52939634907869, 6.63421015362065,          6.63421015362065, 6.78038310261662, 6.74044920052795,          6.57618460349959, 6.57618460349959, 6.78043949525415,          6.24898658848638), PROX_MALL = c(0.391567182053879, 0.388975340293238,          0.478634609766659, 0.339403259296736, 0.339403259296736,          0.517477751202279, 0.311149009276151, 0.311149009276151,          0.311149009276151, 0.528820301792356, 0.460595397283409,          0.161178852361569, 0.118546137622893, 0.118546137622893,          0.241735562355662, 0.180580587241737, 0.110811660449771,          0.110811660449771, 0.189710317758296, 0.60644342729779         ), PROX_CHAS = c(0.0895372628546906, 0.140210421841136,          4.95402698497433e-08, 0.16574506375663, 0.16574506375663,          0.0505118784777886, 0.215238065300109, 0.215238065300109,          0.215238065300109, 0.104680199868824, 0.269388612247007,          0.165813590617473, 0.110329053122027, 0.110329053122027,          0.148113838308576, 0.0922372285822684, 0.114687044901222,          0.114687044901222, 0.0868060808909073, 0.336408570757183         ), PROX_SUPERMARKET = c(0.354688671920554, 0.287679129281494,          0.427887094284235, 0.344658205065017, 0.344658205065017,          0.47836894165083, 0.316789996913415, 0.316789996913415,          0.316789996913415, 0.525839072677995, 0.219989756424723,          0.162291812321236, 0.123371553336512, 0.123371553336512,          0.247969406526707, 0.186806037215644, 0.112847248683738,          0.112847248683738, 0.195853508350489, 0.338214025323699         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 1L,          0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 4L, 5L, 2L, 2L, 4L,          2L, 2L, 2L, 2L, 5L, 3L, 3L, 3L, 7L, 8L, 3L, 3L, 8L, 4L         ), WITHIN_350M_BUS = c(9L, 8L, 7L, 9L, 9L, 7L, 8L, 8L,          8L, 7L, 5L, 8L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 6L), WITHIN_1KM_PRISCH = c(4L,          4L, 3L, 4L, 4L, 3L, 4L, 4L, 4L, 3L, 3L, 5L, 5L, 5L, 4L,          4L, 5L, 5L, 5L, 4L), DNeighbour = c(0, 83.6636319140214,          85.0261541605985, 111.750130916155, 112.743088227965,          137.493278911596, 156.744868140541, 157.689452666884,          158.356002572588, 174.920556685249, 240.174427921076,          269.934978084005, 270.716400204418, 275.416317820013,          276.671383212722, 290.265132410259, 296.41049209917,          298.54445343427, 334.121723257561, 338.797716427209)), row.names = c("517",      "582", "654", "28", "440", "912", "919", "249", "161", "653",      "698", "124", "538", "741", "661", "869", "408", "594", "427",      "924"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.881757226430897,      0.878000646366586, 0.794243585515359, 0.790785893808109,      0.697733445396835, 0.617724777447621, 0.613664068738672,      0.610792047920126, 0.537929035878002, 0.247464211752543,      0.133370547897588, 0.130695768324438, 0.115027375229275,      0.110969097186185, 0.0707445530556019, 0.0550224927925765,      0.04995576258547, 0.000751470588827902, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       761700939 
R squared (OOB):                  0.1595726 

$Forests[[518]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 425000, 430000,      420000, 380000, 390000, 415000, 423800, 390000, 478000, 399000,      410000, 485000, 415000, 365000, 355000, 395000, 440000, 4e+05,      430000), floor_area_sqm = c(104, 104, 103, 105, 105, 103,      104, 104, 102, 104, 102, 84, 104, 103, 103, 84, 103, 104,      91, 104), storey_order = c(2L, 3L, 2L, 2L, 1L, 1L, 2L, 2L,      2L, 5L, 3L, 4L, 3L, 2L, 1L, 3L, 4L, 3L, 1L, 1L), remaining_lease_mths = c(761,      747, 764, 787, 775, 773, 760, 756, 763, 770, 766, 814, 823,      768, 757, 804, 772, 752, 783, 805), PROX_CBD = c(12.2901811097239,      12.4246534304877, 12.3243460542753, 12.7549887608908, 12.8173662852819,      11.9179556382635, 11.6914583773846, 11.7174653186763, 11.6387779682198,      11.927322045494, 13.0078000734933, 12.8927390133383, 12.533007335037,      13.0537205387581, 13.0970803497533, 13.01786092695, 13.1724132817366,      13.1913836000948, 11.4963900230166, 12.514948085948), PROX_ELDERLYCARE = c(0.180150537957213,      0.223353489993969, 0.362207242709056, 0.556485595404089,      0.548539301056628, 0.757050983431463, 0.736997311630605,      0.74375074589335, 0.792216801753581, 0.77464979732367, 0.748101088186933,      0.702153634905252, 0.635175801858358, 0.569472877275307,      0.830352740740998, 0.807586217367385, 0.906244923447749,      0.779182108791446, 0.672630859926948, 0.754587815834464),          PROX_HAWKER = c(0.155357947035291, 0.283538945902673,          0.290415492755609, 0.627642822312809, 0.687183343617196,          0.581821713307667, 0.558671781535233, 0.5637831570093,          0.61454926069889, 0.445987433628815, 0.90031621758677,          0.876276656944215, 0.80610763907972, 0.963287544217337,          0.973651338137405, 0.976719939584195, 1.03184370064912,          1.05769292681279, 0.804785607263954, 0.918952349521139         ), PROX_MRT = c(0.729338839878115, 0.694199692700576,          0.559245805822074, 0.561554903993597, 0.607087114668938,          0.401552834915971, 0.140110279979828, 0.162940637784707,          0.0844107562606101, 0.493642118682657, 0.513893198964272,          0.279401054335897, 0.317839503016409, 0.551410176707671,          0.602819058882962, 0.343251427728879, 0.712767869041386,          0.577154139562059, 0.132306565433056, 0.361279603881815         ), PROX_PARK = c(1.26762597166046, 1.19561442246869,          1.218970746516, 1.16122098497616, 0.953457314885518,          1.26489639581012, 1.50772581466401, 1.5229705853841,          1.51709061898346, 1.17760662255222, 0.842333894517479,          0.620470631841848, 0.503650356541676, 0.974634241933185,          0.879464356596765, 0.656436399769765, 0.94305137750942,          1.12092772213378, 1.41209410927924, 0.436213246481288         ), PROX_GOOD_PRISCH = c(0.992456269301591, 1.09898709469432,          0.889618707353532, 1.29435567579286, 1.5016146113424,          0.374797987706521, 0.476923220580037, 0.440184840714675,          0.453346371612442, 0.289303568244907, 1.72660166123773,          1.774803188623, 1.74800143577954, 1.48818847749708, 1.76550469910092,          1.85318585541752, 1.76071721252525, 1.6842887316892,          0.364349890680966, 1.8549021101536), PROX_MALL = c(0.649064194608972,          0.626909601034773, 0.471904090765479, 0.542723135774117,          0.635314033644823, 0.498039402667872, 0.797799046209296,          0.750703947848918, 0.815834004295584, 0.376851773239706,          0.5620231960968, 0.322264379768498, 0.260189306400009,          0.593340478429386, 0.655283448157635, 0.400117032043626,          0.808064657998832, 0.813382909306435, 0.844787863205902,          0.294446956047624), PROX_CHAS = c(0.128297543182753,          0.221655673315632, 0.193597629002809, 0.144180959238343,          0.149554006756045, 0.258806234431974, 0.0474151678735614,          4.64133788220832e-08, 0.0804697697946077, 0.339292519878925,          1.4078617678234e-08, 0.241407331054591, 0.227429082883153,          0.203693673714882, 0.10733838099953, 0.191102980152323,          0.253073540027742, 0.19044114280624, 0.0697008731150885,          0.29446060409402), PROX_SUPERMARKET = c(0.159863951308791,          0.209750471448386, 0.331501685351864, 0.150188458093997,          0.14719471752053, 0.542179538393358, 0.635527990773791,          0.609798994765399, 0.596048194106483, 0.405378875546255,          0.0851968725918189, 0.234452518543083, 0.260187243864149,          0.349948262987797, 0.176189281490626, 0.230446816430876,          0.263318229535236, 0.190441743522314, 0.441950593919319,          0.294460269353442), WITHIN_350M_KINDERGARTEN = c(4L,          2L, 2L, 2L, 3L, 0L, 0L, 0L, 0L, 0L, 2L, 2L, 1L, 2L, 1L,          3L, 1L, 3L, 0L, 1L), WITHIN_350M_CHILDCARE = c(5L, 5L,          4L, 3L, 2L, 2L, 3L, 3L, 3L, 2L, 2L, 4L, 3L, 2L, 1L, 2L,          3L, 4L, 2L, 2L), WITHIN_350M_BUS = c(3L, 4L, 4L, 7L,          5L, 7L, 6L, 5L, 6L, 9L, 6L, 4L, 7L, 8L, 4L, 5L, 6L, 8L,          8L, 8L), WITHIN_1KM_PRISCH = c(5L, 5L, 6L, 5L, 5L, 3L,          3L, 3L, 3L, 4L, 4L, 4L, 3L, 6L, 4L, 4L, 4L, 5L, 3L, 2L         ), DNeighbour = c(0, 132.018339593795, 176.487944612491,          475.296473113728, 561.084250985083, 616.453903290372,          662.089357267994, 663.354165169697, 719.900877718063,          748.116571165486, 773.998252766151, 791.187289825968,          798.595690430886, 806.399878398664, 837.011405008948,          874.205577366616, 891.209218456908, 901.199426495563,          901.828812193663, 927.678538593681)), row.names = c("518",      "186", "861", "215", "523", "63", "274", "941", "522", "666",      "103", "493", "758", "541", "597", "789", "225", "229", "151",      "12"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.959905632272014,      0.928922248283586, 0.543901920195977, 0.402191010671532,      0.311836530862542, 0.240712236163928, 0.238804550463294,      0.158234209784631, 0.122258907296739, 0.0923422457886277,      0.0743196287942071, 0.067045033942704, 0.0597195062951031,      0.0345657954211711, 0.0125352253548455, 0.00594123999396579,      0.0031665492941672, 0.00301988344314553, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       998735661 
R squared (OOB):                  0.02959793 

$Forests[[519]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(445000, 459000, 447888,      443000, 462000, 318000, 430000, 382000, 418000, 425000, 395000,      425000, 418000, 442500, 418888, 345000, 450000, 358000, 415000,      390000), floor_area_sqm = c(93, 93, 93, 93, 93, 90, 92, 93,      92, 93, 93, 93, 92, 92, 92, 90, 92, 104, 92, 92), storey_order = c(4L,      4L, 5L, 5L, 5L, 3L, 5L, 1L, 3L, 4L, 2L, 5L, 5L, 6L, 3L, 5L,      4L, 4L, 2L, 1L), remaining_lease_mths = c(1133, 1138, 1137,      1134, 1134, 968, 1137, 1111, 1134, 1134, 1138, 1134, 1142,      1138, 1136, 937, 1135, 815, 1132, 1132), PROX_CBD = c(14.1149653809405,      14.1715462602585, 14.1475961545785, 14.1475961545785, 14.1475961545785,      14.1338242827509, 14.2919055230493, 14.29200158436, 14.318757359464,      14.318757359464, 14.318757359464, 14.3486805845321, 14.4012043650842,      14.4158973706441, 14.4158973706441, 14.2787185061121, 14.5310939664424,      14.0960645211931, 14.6122009832922, 14.6424103631698), PROX_ELDERLYCARE = c(2.12564955085825,      2.09595649451453, 2.03155968851809, 2.03155968851809, 2.03155968851809,      2.28550514148655, 2.08663557441472, 2.00367987562091, 2.13920478430288,      2.13920478430288, 2.13920478430288, 2.08279710659019, 1.94149260139439,      1.86115765343828, 1.86115765343828, 1.77826193055387, 1.79186944623163,      1.70531999087377, 1.68824062303628, 1.72557175775889), PROX_HAWKER = c(1.06810792734919,      1.11030496241672, 1.0452124348096, 1.0452124348096, 1.0452124348096,      1.19906286300234, 1.13160866269818, 1.05572120633707, 1.17625726432186,      1.17625726432186, 1.17625726432186, 1.11865892678262, 0.977925494011815,      0.900970586039013, 0.900970586039013, 0.865181709866835,      0.816792492128141, 0.845358517598031, 0.707122679385598,      0.740384095011384), PROX_MRT = c(0.282489779359316, 0.236487582928319,      0.206896355650083, 0.206896355650083, 0.206896355650083,      0.414064606154384, 0.215635082050947, 0.129588785375857,      0.277525006355607, 0.277525006355607, 0.277525006355607,      0.228370105834555, 0.117672709296806, 0.0830542408041225,      0.0830542408041225, 0.14195902454703, 0.197201307651512,      0.217341234217998, 0.295449456212788, 0.312698200175978),          PROX_PARK = c(1.55223981690243, 1.59201213147604, 1.52292224478236,          1.52292224478236, 1.52292224478236, 1.68789157401301,          1.71136953372848, 1.659682039687, 1.77227256709076, 1.77227256709076,          1.77227256709076, 1.76668334590621, 1.73691437359179,          1.70853765465547, 1.70853765465547, 1.51686048726609,          1.79335149216305, 1.27300714898888, 1.76906915549279,          1.78460824921244), PROX_GOOD_PRISCH = c(5.45814117537329,          5.50129862889456, 5.43570837857945, 5.43570837857945,          5.43570837857945, 5.57754198399205, 5.62322031775431,          5.57470277830303, 5.68167095374807, 5.68167095374807,          5.68167095374807, 5.67955556528646, 5.65284274036128,          5.62289607338158, 5.62289607338158, 5.42826997650874,          5.7030752613132, 5.17863906457975, 5.7298925008129, 5.77937603269072         ), PROX_MALL = c(0.377565489031552, 0.405991175981987,          0.329425359540921, 0.329425359540921, 0.329425359540921,          0.547412994688805, 0.517951444315281, 0.462705775504015,          0.582562895872492, 0.582562895872492, 0.582562895872492,          0.571430807201143, 0.544441659044551, 0.475045953779526,          0.475045953779526, 0.338911837083335, 0.466036051693473,          0.243284841315127, 0.426875162675013, 0.482269498416602         ), PROX_CHAS = c(0.179884741524278, 0.12657377242065,          0.188783823394846, 0.188783823394846, 0.188783823394846,          0.219091723429967, 3.54155757628082e-08, 0.0888572682655253,          0.0707174365033835, 0.0707174365033835, 0.0707174365033835,          0.0590253437170886, 0.0706873614354785, 0.0420419616737589,          0.0420419616737589, 0.18872293939054, 0.162368565956873,          0.132339190026647, 0.270793953405505, 0.280031834846542         ), PROX_SUPERMARKET = c(0.299769914037237, 0.248308073473709,          0.235757849482592, 0.235757849482592, 0.235757849482592,          0.41091265647621, 0.199383936085002, 0.124391003677116,          0.25307995359875, 0.25307995359875, 0.25307995359875,          0.199153546859355, 0.0706874850207218, 0.0420421510628514,          0.0420421510628514, 0.188722783027928, 0.162368758687164,          0.226949559622758, 0.270794118098451, 0.280032026158491         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 2L, 2L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 6L, 6L, 6L, 3L,          5L, 5L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 6L, 4L, 7L, 5L, 3L         ), WITHIN_350M_BUS = c(5L, 5L, 6L, 6L, 6L, 3L, 4L, 5L,          3L, 3L, 3L, 4L, 6L, 7L, 7L, 8L, 8L, 9L, 6L, 6L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 4L, 4L,          4L, 3L, 5L, 4L, 3L), DNeighbour = c(0, 59.5765343699918,          100.891411472884, 102.625155460038, 103.493255054686,          176.82451008397, 179.29395900474, 191.0261905498, 220.220321579705,          224.613464425284, 226.935241724839, 240.683883304848,          296.645748767007, 342.231408681867, 343.708986646164,          356.760737517962, 465.69952582698, 485.307233506118,          579.45412522369, 585.371666100942)), row.names = c("519",      "277", "623", "966", "207", "120", "267", "989", "58", "205",      "840", "217", "633", "33", "100", "329", "609", "880", "489",      "323"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.97939076080966,      0.941470337014755, 0.939473125098037, 0.938461130678681,      0.825830893246425, 0.821172962555042, 0.798354157067866,      0.736969127432675, 0.727209811905886, 0.722000962018538,      0.690467907660571, 0.552330556789393, 0.433222809099922,      0.429337888743229, 0.395085479395155, 0.134748392549255,      0.0977577444613299, 0.000404648281370434, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1068773836 
R squared (OOB):                  0.3001041 

$Forests[[520]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(328000, 320000, 305000,      310500, 319000, 323000, 310000, 280000, 325000, 323000, 337000,      358000, 305000, 360000, 340000, 333000, 335000, 313000, 364000,      339000), floor_area_sqm = c(92, 101, 91, 92, 101, 101, 89,      90, 91, 91, 105, 101, 99, 105, 105, 103, 100, 99, 100, 102     ), storey_order = c(3L, 2L, 4L, 4L, 4L, 1L, 1L, 3L, 2L, 2L,      1L, 3L, 4L, 3L, 1L, 1L, 4L, 4L, 2L, 3L), remaining_lease_mths = c(923,      931, 932, 932, 950, 937, 946, 958, 970, 974, 947, 960, 930,      960, 956, 953, 927, 918, 921, 923), PROX_CBD = c(17.049182232397,      17.1235753252943, 17.1300558853523, 17.1621565450396, 17.1356331652512,      17.4093430047218, 17.0860498579873, 17.0860498579873, 17.7083177660008,      16.9744532057656, 17.5852868111176, 17.5852868111176, 17.5508688704121,      17.6410789876396, 17.6472423100513, 17.7412802518209, 17.5934100264964,      17.8728040148932, 17.9386403893839, 17.9456645257603), PROX_ELDERLYCARE = c(0.850080656271298,      0.697818713768909, 0.650159488421832, 0.588822776266157,      0.585213362825854, 0.347622879353981, 0.634635376150565,      0.634635376150565, 0.378187975507624, 0.669866762803474,      0.979721953613503, 0.979721953613503, 0.169110695114153,      0.969292416022308, 1.0260991137238, 1.00357172816211, 0.183364759720919,      0.330981516384048, 0.714833653499633, 0.476454782767532),          PROX_HAWKER = c(0.714958983882519, 0.705945006380572,          0.747949107581356, 0.776103543372746, 0.905166107754752,          0.646263997619536, 0.984075399620173, 0.984075399620173,          0.340346390827249, 1.16076193719705, 0.300047945510982,          0.300047945510982, 0.736171211400498, 0.270187519380927,          0.322354465675231, 0.286367973105455, 0.860123145519879,          0.446535534086157, 0.201936965562497, 0.3648710200987         ), PROX_MRT = c(0.785333186388227, 0.782769723074986,          0.826263947198081, 0.827901946736494, 0.689848925621533,          0.722831181419355, 0.610921595420819, 0.610921595420819,          0.403335562748004, 0.434229027914827, 0.294966346549802,          0.294966346549802, 0.804998329325227, 0.253083991654003,          0.296963624455722, 0.240079810641839, 0.675234243169572,          0.4868918768976, 0.168914117564514, 0.385567417899789         ), PROX_PARK = c(2.39009267562017, 2.27471658155514,          2.21165427538899, 2.12305734030611, 2.00545012030434,          1.92330050908574, 1.98249707589613, 1.98249707589613,          1.86766019581863, 1.94357933186421, 2.22462050149276,          2.22462050149276, 1.71737354643835, 2.26013213847351,          2.2163258228061, 2.28949331488756, 1.60355051242194,          1.69875568186822, 1.99379565561889, 1.76180373116006),          PROX_GOOD_PRISCH = c(7.5878538843241, 7.68854504458572,          7.71077701272798, 7.75790588282746, 7.76178719780886,          8.00696366683488, 7.72567604662297, 7.72567604662297,          8.26299778187914, 7.64555391975429, 8.05369522760851,          8.05369522760851, 8.17476856172454, 8.10977708422392,          8.10862356805264, 8.20478390995202, 8.24279341902993,          8.43952013253886, 8.4444135457925, 8.49089982759618),          PROX_MALL = c(0.718658142186859, 0.614584601713128, 0.568151229694078,          0.509108711773916, 0.382407895591973, 0.265229996889848,          0.314944256820634, 0.314944256820634, 0.335143296665789,          0.199292924769147, 0.237472256939882, 0.237472256939882,          0.109574351562212, 0.204458422444813, 0.255877276101632,          0.222110908162432, 0.188384425612312, 0.330972758922268,          0.238372860218233, 0.428159644756295), PROX_CHAS = c(0.13498084818294,          0.076148424020495, 0.159798231789153, 0.242301342816858,          0.257714074421561, 0.23105278557526, 0.250499161266826,          0.250499161266826, 0.30242004444134, 0.199292963025488,          0.145295883687343, 0.145295883687343, 0.048268048492383,          0.201289943337815, 0.212266026856788, 0.222110881748482,          0.151781240761386, 0.330972805611547, 0.076984763134016,          0.218909691095897), PROX_SUPERMARKET = c(0.397684558683682,          0.307215454393191, 0.260386915772359, 0.263452146302603,          0.257714572429151, 0.313773352526138, 0.250499698074938,          0.250499698074938, 0.332189289926598, 0.25551504160041,          0.237470779768967, 0.237470779768967, 0.15801430638391,          0.204457160029983, 0.255876154174577, 0.222110358133712,          0.209139790637019, 0.300218301814749, 0.171190500184261,          0.365864675212809), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(12L, 5L,          5L, 5L, 5L, 7L, 6L, 6L, 6L, 6L, 5L, 5L, 7L, 5L, 6L, 5L,          6L, 4L, 6L, 3L), WITHIN_350M_BUS = c(8L, 11L, 13L, 11L,          11L, 13L, 11L, 11L, 7L, 13L, 15L, 15L, 12L, 15L, 13L,          16L, 12L, 8L, 8L, 8L), WITHIN_1KM_PRISCH = c(2L, 4L,          4L, 4L, 4L, 5L, 4L, 4L, 5L, 4L, 4L, 4L, 6L, 4L, 4L, 4L,          8L, 7L, 5L, 6L), DNeighbour = c(0, 171.036769535108,          257.472060897064, 339.710294073096, 482.727151089641,          506.189101870073, 537.303368222132, 542.885535156099,          673.233143072886, 673.41138092862, 684.387085331353,          688.860418163935, 722.166316796321, 732.79989314571,          766.350685009901, 829.434039275283, 847.525344412877,          854.439494158487, 899.39576430566, 900.003480794473)), row.names = c("520",      "871", "170", "190", "99", "174", "685", "704", "544", "902",      "800", "224", "438", "615", "554", "242", "419", "992", "638",      "20"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.929073816625548,      0.843015633317691, 0.73535454339292, 0.507394681965431, 0.467407834180619,      0.414207172085778, 0.404680658041119, 0.193992005660853,      0.193731065854626, 0.177873521135387, 0.171534022451818,      0.126841367040108, 0.113601013341689, 0.0755986364732582,      0.0227021170261396, 0.0128182502940146, 0.00973969122737224,      1.82255377617022e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       305153473 
R squared (OOB):                  0.2760241 

$Forests[[521]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(640000, 650000, 580000,      725000, 590000, 580000, 660000, 515000, 620000, 560000, 451000,      520000, 409500, 418000, 446000, 488000, 480000, 385000, 465000,      678000), floor_area_sqm = c(90, 90, 90, 90, 90, 108, 105,      84, 103, 105, 83, 107, 84, 84, 94, 104, 94, 93, 91, 92),          storey_order = c(2L, 6L, 1L, 9L, 2L, 8L, 6L, 4L, 4L,          2L, 8L, 2L, 3L, 3L, 2L, 1L, 6L, 1L, 2L, 3L), remaining_lease_mths = c(1011,          1011, 1006, 995, 996, 760, 748, 804, 742, 913, 604, 892,          807, 804, 723, 776, 725, 772, 764, 1103), PROX_CBD = c(2.65695642963531,          2.65695642963531, 2.65695642963531, 2.61519687417969,          2.69989267302812, 2.26543941452074, 3.5952466633456,          3.75781957676323, 3.79744534670369, 3.91005014077452,          3.63056019358172, 4.23142849537126, 4.20973993763024,          4.20973993763024, 4.45295385586978, 4.16405648472164,          4.50933618399607, 4.25035751849909, 4.28329341592686,          3.93031212371417), PROX_ELDERLYCARE = c(0.3590471791371,          0.3590471791371, 0.3590471791371, 0.386066702151211,          0.352346052518342, 0.404007374923036, 0.354500614782039,          0.582389211118023, 0.296175206272889, 0.449207181019876,          0.124703716495981, 0.272010492111063, 0.156291063754703,          0.156291063754703, 0.645271528549996, 0.434539750657667,          0.665866395733666, 0.411587417191489, 0.4193003334471,          0.159701117649001), PROX_HAWKER = c(0.48810855559281,          0.48810855559281, 0.48810855559281, 0.52081126471543,          0.468835135082758, 0.210544550468706, 0.311385334077859,          0.393163811818296, 0.300770398866256, 0.464701711390969,          0.0619655343942362, 0.392124905911543, 0.46881842734995,          0.46881842734995, 0.601904675681234, 0.502732414569621,          0.665007751295857, 0.610932712322496, 0.638679046714181,          0.374782156946409), PROX_MRT = c(0.285614625668497, 0.285614625668497,          0.285614625668497, 0.320255480062021, 0.230131940688868,          0.306886682672286, 0.16267041353008, 0.434583879195091,          0.195276091150508, 0.361698258812245, 0.188513622979597,          0.870814763860364, 0.750034220630686, 0.750034220630686,          0.66128766903618, 0.518003091395578, 0.549595780709265,          0.605174310138743, 0.637237645879563, 0.57487373386568         ), PROX_PARK = c(0.426964305014519, 0.426964305014519,          0.426964305014519, 0.427354201328866, 0.41386436288237,          0.0441643212802781, 0.796125682214674, 0.885911587583127,          0.620239922284967, 0.651892034671684, 0.634729277660292,          0.989030190878471, 0.828179073128827, 0.828179073128827,          0.473457593144303, 0.269719137898212, 0.353281501558379,          0.346786980248178, 0.336599362476296, 0.43227753152338         ), PROX_GOOD_PRISCH = c(4.78575462214909, 4.78575462214909,          4.78575462214909, 4.82322880287643, 4.75214496578899,          5.27420554603454, 4.26949140427292, 3.98479480133756,          4.13618512399158, 3.96984616110429, 4.47678155678584,          3.47561641519302, 3.58178441884724, 3.58178441884724,          3.02211493728223, 3.99853475328204, 2.94429219434277,          3.87277035706644, 3.85984302070176, 4.55218800106713),          PROX_MALL = c(0.412388661644518, 0.412388661644518, 0.412388661644518,          0.426721378040506, 0.380876218870723, 0.216535056802411,          0.962766222186716, 1.1081035152608, 1.16769889708728,          1.2652175398851, 0.917363569028491, 1.1888213641646,          1.26743973989934, 1.26743973989934, 0.570379319619026,          1.00998414702412, 0.485349818185599, 0.955673327573223,          0.92062293894618, 1.09934779211931), PROX_CHAS = c(0.260712311456847,          0.260712311456847, 0.260712311456847, 0.297575542785259,          0.202908600866322, 0.146883739415237, 0.0963682910788478,          0.345906079563203, 0.121619853002556, 0.108899254787234,          0.112941217538546, 0.106822211501606, 0.163154212627783,          0.163154212627783, 0.303272176186244, 0.147909276913635,          0.331046161101227, 0.260827480873255, 0.285886541141976,          0.304936065418075), PROX_SUPERMARKET = c(0.447218369070658,          0.447218369070658, 0.447218369070658, 0.470018893217644,          0.44532403657541, 0.186677322210676, 0.269187390315468,          0.128350069204848, 0.191561540751545, 0.115229795891962,          0.0867224629960944, 0.139079920157556, 0.118448079318654,          0.118448079318654, 0.34627255092781, 0.506391752127701,          0.325943517329761, 0.512280309006142, 0.506434284786685,          0.35411008396507), WITHIN_350M_KINDERGARTEN = c(2L, 2L,          2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 0L, 2L, 1L, 1L, 0L, 1L,          0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L,          2L, 2L, 1L, 4L, 4L, 4L, 4L, 5L, 6L, 3L, 3L, 1L, 6L, 1L,          5L, 4L, 3L), WITHIN_350M_BUS = c(3L, 3L, 3L, 3L, 4L,          3L, 6L, 3L, 5L, 5L, 4L, 7L, 7L, 7L, 6L, 5L, 5L, 5L, 5L,          5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 0L, 3L, 3L, 1L),          DNeighbour = c(0, 1.40648353907805, 5.91036261266072,          54.4343049049702, 64.6749383270539, 580.605118426489,          1252.36853478196, 1265.71114103173, 1443.589124049, 1482.78955063618,          1491.46948633891, 1651.92431679879, 1665.98716666156,          1671.71791211485, 1787.828528974, 1844.35862555563, 1850.80376759031,          1881.85584761632, 1921.88878063846, 1925.18023112944)), row.names = c("521",      "821", "246", "923", "796", "398", "699", "234", "952", "176",      "237", "849", "382", "907", "346", "223", "622", "19", "747",      "801"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999998932528226,      0.999981149910558, 0.998401697663233, 0.9977441297347, 0.826365722898082,      0.332725388289716, 0.322349762709359, 0.191608115401632,      0.165469454674598, 0.159851126730709, 0.069553154912306,      0.0630714010632842, 0.0605058705234386, 0.018933655276135,      0.00675687403290444, 0.00574176965832077, 0.00198040126297721,      1.16721009308607e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11534415896 
R squared (OOB):                  -0.16735 

$Forests[[522]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 415000, 423800,      4e+05, 450000, 390000, 478000, 435000, 550000, 548000, 430000,      410000, 360000, 447000, 429000, 425000, 422800, 438000, 462000,      540000), floor_area_sqm = c(102, 104, 104, 91, 105, 103,      104, 103, 93, 93, 103, 104, 84, 107, 104, 104, 104, 104,      105, 107), storey_order = c(2L, 2L, 2L, 1L, 2L, 1L, 5L, 4L,      3L, 4L, 2L, 2L, 2L, 3L, 2L, 3L, 4L, 2L, 1L, 6L), remaining_lease_mths = c(763,      760, 756, 783, 757, 773, 770, 819, 1137, 1135, 764, 761,      762, 782, 822, 747, 813, 812, 965, 969), PROX_CBD = c(11.6387779682198,      11.6914583773846, 11.7174653186763, 11.4963900230166, 11.4573592114175,      11.9179556382635, 11.927322045494, 11.381621166991, 11.2116042179965,      11.1809634086998, 12.3243460542753, 12.2901811097239, 11.4815172953657,      11.7840832214562, 11.1191912667925, 12.4246534304877, 11.1672746170477,      11.7215458353159, 10.9320040827019, 11.0486323727393), PROX_ELDERLYCARE = c(0.792216801753581,      0.736997311630605, 0.74375074589335, 0.672630859926948, 0.52883250894194,      0.757050983431463, 0.77464979732367, 0.382123855460196, 0.369355324070756,      0.333450295290741, 0.362207242709056, 0.180150537957213,      0.182032582488253, 0.481333190444255, 0.213121327483379,      0.223353489993969, 0.14075304944647, 0.240093333498969, 0.83761180429981,      0.974567200018427), PROX_HAWKER = c(0.61454926069889, 0.558671781535233,      0.5637831570093, 0.804785607263954, 0.848364442784946, 0.581821713307667,      0.445987433628815, 0.863892291353285, 1.02311573056961, 1.04207495818587,      0.290415492755609, 0.155357947035291, 0.728271246274353,      0.436117874461739, 1.08329799955244, 0.283538945902673, 1.04840790050398,      0.609281739536534, 0.499252912381913, 0.436692566666558),          PROX_MRT = c(0.0844107562606101, 0.140110279979828, 0.162940637784707,          0.132306565433056, 0.275269590424193, 0.401552834915971,          0.493642118682657, 0.424871345706255, 0.524888394814585,          0.580267989687754, 0.559245805822074, 0.729338839878115,          0.756359380624344, 0.81394482428473, 0.776456939054752,          0.694199692700576, 0.893429463565323, 0.989064774064853,          0.582189406643083, 0.741783227751877), PROX_PARK = c(1.51709061898346,          1.50772581466401, 1.5229705853841, 1.41209410927924,          1.3775538710324, 1.26489639581012, 1.17760662255222,          1.31830174708739, 1.15338615463339, 1.13378306757762,          1.218970746516, 1.26762597166046, 1.50398184725757, 1.20101103678102,          1.13833451608328, 1.19561442246869, 1.25063890429238,          1.28416187507733, 0.802226928628916, 0.644279497097323         ), PROX_GOOD_PRISCH = c(0.453346371612442, 0.476923220580037,          0.440184840714675, 0.364349890680966, 0.277148461253506,          0.374797987706521, 0.289303568244907, 0.288839241027683,          0.456074275886943, 0.485317217067727, 0.889618707353532,          0.992456269301591, 0.365254403810308, 0.357669915539773,          0.586469336292635, 1.09898709469432, 0.623353133039123,          0.585140695782779, 1.4460454342776, 1.50173151878208),          PROX_MALL = c(0.815834004295584, 0.797799046209296, 0.750703947848918,          0.844787863205902, 0.815329638117364, 0.498039402667872,          0.376851773239706, 0.849953313581112, 1.01522535242687,          1.03968747299659, 0.471904090765479, 0.649064194608972,          0.763531318053358, 0.489619370966043, 1.10160019948421,          0.626909601034773, 1.08293003315278, 0.690287469384684,          1.37776203899083, 1.41292867182356), PROX_CHAS = c(0.0804697697946077,          0.0474151678735614, 4.64133788220832e-08, 0.0697008731150885,          0.179820414455961, 0.258806234431974, 0.339292519878925,          0.115324197479935, 0.206252010873132, 0.216965800691496,          0.193597629002809, 0.128297543182753, 0.0516610437101642,          0.0667093090499658, 0.143881852296294, 0.221655673315632,          0.151540147087551, 0.164718468919614, 0.293630149165848,          0.375455350402476), PROX_SUPERMARKET = c(0.596048194106483,          0.635527990773791, 0.609798994765399, 0.441950593919319,          0.301981775400679, 0.542179538393358, 0.405378875546255,          0.186698572696543, 0.222574928361305, 0.212835414763751,          0.331501685351864, 0.159863951308791, 0.19171128272723,          0.379080894647373, 0.246182427713253, 0.209750471448386,          0.299482732316256, 0.169255457402684, 0.445162931243089,          0.408205375796458), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 4L, 0L, 2L, 2L,          2L, 2L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 2L, 4L, 2L, 2L, 4L, 4L, 3L, 4L, 5L, 5L, 3L, 5L, 5L,          6L, 6L, 0L, 0L), WITHIN_350M_BUS = c(6L, 6L, 5L, 8L,          7L, 7L, 9L, 10L, 6L, 7L, 4L, 3L, 14L, 7L, 9L, 4L, 14L,          10L, 0L, 2L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          3L, 4L, 3L, 2L, 2L, 6L, 5L, 3L, 4L, 2L, 5L, 2L, 3L, 4L,          3L), DNeighbour = c(0, 57.981713792798, 73.4940167737926,          186.116056758634, 320.81669952452, 333.071098194368,          438.847236581606, 471.98203870779, 591.30238068973, 646.010360340834,          698.560716611629, 719.900877718063, 777.78467147065,          800.130628339868, 828.690857158471, 847.450370421679,          937.542239137101, 1037.21009576937, 1081.6877750986,          1106.32557621292)), row.names = c("522", "274", "941",      "151", "843", "63", "666", "744", "347", "178", "861", "518",      "213", "340", "845", "186", "528", "625", "671", "630"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.994514081755797, 0.991193390892238, 0.944198946781044,      0.838889824439247, 0.826940128067787, 0.710062635143576,      0.669114641087837, 0.510277953708353, 0.434323757908507,      0.361565909358793, 0.33243535243023, 0.255775952461422, 0.22746673665189,      0.19265711608105, 0.170764905097592, 0.0794388480657808,      0.0146514390496263, 0.001939867268937, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1614945267 
R squared (OOB):                  0.4019215 

$Forests[[523]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 399000, 365000,      420000, 410000, 395000, 355000, 425000, 420000, 385000, 440000,      415000, 410000, 350000, 430000, 485000, 411000, 430000, 418000,      405000), floor_area_sqm = c(105, 102, 103, 105, 84, 103,      84, 104, 103, 102, 104, 103, 104, 84, 103, 104, 104, 104,      84, 106), storey_order = c(1L, 3L, 1L, 2L, 4L, 4L, 3L, 3L,      2L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 1L, 1L, 3L, 2L), remaining_lease_mths = c(775,      766, 757, 787, 814, 772, 804, 747, 757, 755, 752, 768, 761,      806, 764, 823, 806, 805, 821, 778), PROX_CBD = c(12.8173662852819,      13.0078000734933, 13.0970803497533, 12.7549887608908, 12.8927390133383,      13.1724132817366, 13.01786092695, 12.4246534304877, 13.2614515751509,      13.2614515751509, 13.1913836000948, 13.0537205387581, 12.2901811097239,      13.3385512116162, 12.3243460542753, 12.533007335037, 13.1755942624772,      12.514948085948, 13.3325431063631, 13.2146489403719), PROX_ELDERLYCARE = c(0.548539301056628,      0.748101088186933, 0.830352740740998, 0.556485595404089,      0.702153634905252, 0.906244923447749, 0.807586217367385,      0.223353489993969, 0.99636081833896, 0.99636081833896, 0.779182108791446,      0.569472877275307, 0.180150537957213, 1.09997831443452, 0.362207242709056,      0.635175801858358, 1.08363260419178, 0.754587815834464, 1.22529955141455,      0.392334185262972), PROX_HAWKER = c(0.687183343617196, 0.90031621758677,      0.973651338137405, 0.627642822312809, 0.876276656944215,      1.03184370064912, 0.976719939584195, 0.283538945902673, 1.14030290242306,      1.14030290242306, 1.05769292681279, 0.963287544217337, 0.155357947035291,      1.2578245237404, 0.290415492755609, 0.80610763907972, 1.26154745049637,      0.918952349521139, 1.40113048988486, 1.1504484389926), PROX_MRT = c(0.607087114668938,      0.513893198964272, 0.602819058882962, 0.561554903993597,      0.279401054335897, 0.712767869041386, 0.343251427728879,      0.694199692700576, 0.667490524156887, 0.667490524156887,      0.577154139562059, 0.551410176707671, 0.729338839878115,      0.602718547061467, 0.559245805822074, 0.317839503016409,      0.324849533681113, 0.361279603881815, 0.481797794839233,      0.530339592860526), PROX_PARK = c(0.953457314885518, 0.842333894517479,      0.879464356596765, 1.16122098497616, 0.620470631841848, 0.94305137750942,      0.656436399769765, 1.19561442246869, 0.758867978246924, 0.758867978246924,      1.12092772213378, 0.974634241933185, 1.26762597166046, 0.569772965965399,      1.218970746516, 0.503650356541676, 0.447685878226129, 0.436213246481288,      0.354623255285983, 0.763919329225246), PROX_GOOD_PRISCH = c(1.5016146113424,      1.72660166123773, 1.76550469910092, 1.29435567579286, 1.774803188623,      1.76071721252525, 1.85318585541752, 1.09898709469432, 1.91909050044553,      1.91909050044553, 1.6842887316892, 1.48818847749708, 0.992456269301591,      2.07907555576542, 0.889618707353532, 1.74800143577954, 2.16883728054707,      1.8549021101536, 2.29474127216967, 1.57814209766337), PROX_MALL = c(0.635314033644823,      0.5620231960968, 0.655283448157635, 0.542723135774117, 0.322264379768498,      0.808064657998832, 0.400117032043626, 0.626909601034773,      0.72813233212774, 0.72813233212774, 0.813382909306435, 0.593340478429386,      0.649064194608972, 0.668924040978838, 0.471904090765479,      0.260189306400009, 0.386525633611572, 0.294446956047624,      0.542371475290289, 0.655287065425073), PROX_CHAS = c(0.149554006756045,      1.4078617678234e-08, 0.10733838099953, 0.144180959238343,      0.241407331054591, 0.253073540027742, 0.191102980152323,      0.221655673315632, 0.255705601713763, 0.255705601713763,      0.19044114280624, 0.203693673714882, 0.128297543182753, 0.191227179226131,      0.193597629002809, 0.227429082883153, 0.194419509978617,      0.29446060409402, 0.059226360432522, 0.358071114142678),          PROX_SUPERMARKET = c(0.14719471752053, 0.0851968725918189,          0.176189281490626, 0.150188458093997, 0.234452518543083,          0.263318229535236, 0.230446816430876, 0.209750471448386,          0.336474046543398, 0.336474046543398, 0.190441743522314,          0.349948262987797, 0.159863951308791, 0.444314653432489,          0.331501685351864, 0.260187243864149, 0.386520309138909,          0.294460269353442, 0.542367678587035, 0.384538867225359         ), WITHIN_350M_KINDERGARTEN = c(3L, 2L, 1L, 2L, 2L, 1L,          3L, 2L, 2L, 2L, 3L, 2L, 4L, 1L, 2L, 1L, 1L, 1L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 1L, 3L, 4L, 3L,          2L, 5L, 2L, 2L, 4L, 2L, 5L, 3L, 4L, 3L, 5L, 2L, 6L, 3L         ), WITHIN_350M_BUS = c(5L, 6L, 4L, 7L, 4L, 6L, 5L, 4L,          6L, 6L, 8L, 8L, 3L, 5L, 4L, 7L, 12L, 8L, 10L, 9L), WITHIN_1KM_PRISCH = c(5L,          4L, 4L, 5L, 4L, 4L, 4L, 5L, 4L, 4L, 5L, 6L, 5L, 5L, 6L,          3L, 4L, 2L, 4L, 6L), DNeighbour = c(0, 217.240654847507,          277.124911472538, 286.145490541278, 338.75145425476,          360.363833136022, 364.261582092258, 432.420573202711,          449.621385632683, 451.354138296132, 461.485452314203,          511.992693775697, 561.084250985083, 584.614066251357,          614.159264208088, 656.304902448465, 699.649388196225,          792.419533766704, 801.931329945612, 809.708669375887)), row.names = c("523",      "103", "597", "215", "493", "225", "789", "186", "753", "473",      "229", "541", "518", "618", "861", "758", "131", "12", "565",      "511"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.861217187177577,      0.779447334287752, 0.765823265769536, 0.680580644055097,      0.643087251442283, 0.636196497978253, 0.510933785732144,      0.478387198358012, 0.475098958132115, 0.455852186156796,      0.360210027517465, 0.270219141058402, 0.229161484050821,      0.18035876829111, 0.117661091585687, 0.0641981838718337,      0.00178494950993776, 0.000365496334143486, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       920279348 
R squared (OOB):                  0.04194295 

$Forests[[524]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(643888, 890000, 1038000,      1023801, 830000, 1056800, 1110000, 755000, 7e+05, 685000,      753000, 620000, 748000, 475000, 476000, 537000, 945500, 912000,      680000, 5e+05), floor_area_sqm = c(83, 93, 95, 95, 94, 95,      94, 90, 93, 93, 87, 103, 107, 103, 103, 106, 87, 87, 91,      103), storey_order = c(4L, 2L, 13L, 13L, 9L, 16L, 17L, 2L,      1L, 4L, 5L, 2L, 2L, 2L, 2L, 4L, 8L, 3L, 3L, 1L), remaining_lease_mths = c(721,      1079, 1088, 1085, 1088, 1081, 1086, 983, 625, 1115, 1104,      911, 899, 781, 774, 760, 1143, 1142, 984, 773), PROX_CBD = c(1.53899731723416,      1.67386574810093, 1.6109563636452, 1.64296215322618, 1.64296215322618,      1.77209924777956, 1.77209924777956, 2.01305703462688, 2.09358084499411,      2.56060478168524, 2.5775653440094, 2.86182045335715, 2.52364731081334,      3.09516181063763, 3.09516181063763, 3.12641734116327, 2.51922626320824,      2.51922626320824, 2.86455481676114, 3.24578829573265), PROX_ELDERLYCARE = c(0.194322059338883,      0.177855560288099, 0.267363987874465, 0.294850727643248,      0.294850727643248, 0.140516738363648, 0.140516738363648,      0.301111196915018, 0.442569764285143, 0.303984777605612,      0.283170941801308, 0.334062202372697, 0.132133546591398,      0.614909460801077, 0.614909460801077, 0.570344367187993,      1.25853619714168e-06, 1.25853619714168e-06, 0.111411798512938,      0.461566734593474), PROX_HAWKER = c(0.0778854840685767, 0.190132187507835,      0.235977344459711, 0.280083683397779, 0.280083683397779,      0.23052169920376, 0.23052169920376, 0.439754799726314, 0.103399879312882,      0.450094806637729, 0.447120961378381, 0.231089093207534,      0.315417458803045, 0.524942013349153, 0.524942013349153,      0.582032517556358, 0.187177165934232, 0.187177165934232,      0.302651224916382, 0.461305554076076), PROX_MRT = c(0.338341879948785,      0.379670718067057, 0.29771914919713, 0.262926729358016, 0.262926729358016,      0.454819638815125, 0.454819638815125, 0.650763936895186,      0.681532284353367, 0.546591463865751, 0.499107329029013,      0.819080841065402, 0.277076743329557, 1.19880844528061, 1.19880844528061,      1.19588154804183, 0.243725266054354, 0.243725266054354, 0.391395986196982,      1.11057161001852), PROX_PARK = c(0.431332248643832, 0.464667269713551,      0.367398542795172, 0.366095429090919, 0.366095429090919,      0.568364566172339, 0.568364566172339, 0.806729342800227,      0.400473707610266, 0.21329655328302, 0.18481391877062, 0.609617368578913,      0.163253442595557, 0.971409228458194, 0.971409228458194,      0.971029675538415, 0.28862748451296, 0.28862748451296, 0.399002951856213,      0.856773721705297), PROX_GOOD_PRISCH = c(6.20754086879516,      6.13913327172338, 6.05683769533381, 6.02306971378175, 6.02306971378175,      6.2014068010071, 6.2014068010071, 6.32589195448141, 4.81109980295855,      4.93746215949662, 4.89009258041755, 5.1514664212482, 4.61812725480087,      5.46565510857314, 5.46565510857314, 5.52416256345089, 4.50145006484821,      4.50145006484821, 4.71207116352008, 5.51078547454581), PROX_MALL = c(0.293332886646226,      0.332985789848242, 0.415453175187746, 0.44820920236387, 0.44820920236387,      0.293469301127063, 0.293469301127063, 0.368960166061844,      0.685370188976197, 0.572150632107275, 0.524781909718914,      0.848351644608041, 0.290995843291254, 1.2281628510896, 1.2281628510896,      1.29251563056945, 0.244046547559164, 0.244046547559164, 0.420489734799516,      1.33172083977874), PROX_CHAS = c(0.0279718763032621, 0.0280349864391529,      0.0860247998100326, 0.0951865321113252, 0.0951865321113252,      0.116110892529562, 0.116110892529562, 0.298496878246672,      0.165994533154508, 0.0640474788759872, 0.0301364724824846,      0.159666076311523, 0.0122221533760307, 0.240903750709302,      0.240903750709302, 0.202999736112437, 0.0462846720247782,      0.0462846720247782, 0.110042750971165, 0.0869328465249217     ), PROX_SUPERMARKET = c(0.114546579488019, 0.185142915152075,      0.248046397132554, 0.28799517805095, 0.28799517805095, 0.203860721712114,      0.203860721712114, 0.364789845186166, 0.346795592234613,      0.315915165677582, 0.275738565320567, 0.360029455717415,      0.0373112013983995, 0.240902416159861, 0.240902416159861,      0.202998478162502, 0.169442491353445, 0.169442491353445,      0.110042446678578, 0.0869315055470345), WITHIN_350M_KINDERGARTEN = c(1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L,      0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(8L, 7L, 6L, 6L,      6L, 7L, 7L, 4L, 4L, 4L, 4L, 3L, 6L, 2L, 2L, 2L, 4L, 4L, 4L,      2L), WITHIN_350M_BUS = c(9L, 9L, 11L, 9L, 9L, 10L, 10L, 10L,      7L, 3L, 3L, 4L, 6L, 4L, 4L, 5L, 4L, 4L, 7L, 6L), WITHIN_1KM_PRISCH = c(1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 3L, 2L, 3L, 3L, 2L,      2L, 2L, 4L, 2L), DNeighbour = c(0, 163.525917111244, 181.128845748427,      227.015256770337, 227.947827071537, 243.477717338042, 244.207351698091,      480.028224840738, 1421.53612497261, 1573.5732901156, 1614.08447452358,      1700.0064537155, 1747.69293711313, 1789.22171648387, 1789.33543170741,      1801.36160284419, 1822.07875539927, 1830.1131996623, 1915.55141759761,      1918.25836012386)), row.names = c("524", "10", "619", "91",      "850", "509", "321", "567", "824", "390", "999", "561", "65",      "134", "126", "48", "816", "550", "968", "192"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.985518682127104, 0.982247862104435, 0.972185327414381,      0.971957962905602, 0.96803889680224, 0.967848620109204, 0.878679565361871,      0.203253620447576, 0.106985061491186, 0.0852591793972184,      0.0460562306183566, 0.0288753312379039, 0.0169026722182628,      0.0168739290061965, 0.0139628370356971, 0.0095578249218124,      0.00806220459567836, 7.95409534937276e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       25573865645 
R squared (OOB):                  0.363428 

$Forests[[525]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(325000, 330000, 335000,      314000, 297000, 375000, 315000, 335000, 3e+05, 320000, 343000,      392000, 388000, 417000, 363000, 340888, 355000, 335000, 333000,      450000), floor_area_sqm = c(90, 91, 90, 91, 90, 108, 90,      105, 106, 91, 107, 113, 104, 92, 104, 107, 104, 114, 108,      93), storey_order = c(5L, 1L, 3L, 3L, 2L, 2L, 5L, 2L, 2L,      8L, 2L, 2L, 6L, 2L, 5L, 4L, 4L, 3L, 4L, 4L), remaining_lease_mths = c(992,      987, 979, 985, 995, 909, 1001, 938, 941, 995, 907, 933, 904,      1120, 918, 883, 882, 904, 895, 1131), PROX_CBD = c(17.2610384590751,      17.2817356498826, 17.0600275230943, 17.0716695500607, 16.901501451739,      16.9875722318911, 16.8082045368238, 17.3741762112269, 17.3741762112269,      16.7093180086981, 17.2160129653012, 16.6579104452557, 16.3777502460772,      16.7161737209409, 16.295166477654, 16.7669966667855, 16.7669966667855,      16.3642048862006, 16.5397910410307, 15.1194109037639), PROX_ELDERLYCARE = c(1.12094638660826,      1.19353475005496, 1.09431476347566, 1.21621641692937, 1.16689850532437,      0.636322412867891, 1.15380285023885, 0.815153211361198, 0.815153211361198,      0.935779967581661, 0.574386357445605, 0.409372351007212,      0.465083314136851, 9.26628957858198e-07, 0.514795208711411,      0.121542639162494, 0.121542639162494, 0.361422596457277,      0.706939892416911, 0.632846087105322), PROX_HAWKER = c(2.37726799660773,      2.40388099430384, 2.18272534115171, 2.2102134433082, 2.0413146444202,      2.10596394293278, 1.94950915107796, 2.50067722531469, 2.50067722531469,      1.82495077083007, 2.37357884684332, 1.80129318596364, 1.54627052523026,      1.96687058888139, 1.47281657351752, 2.05474291859885, 2.05474291859885,      1.67761333691466, 2.14655926815246, 0.399490681633122), PROX_MRT = c(0.729621307242001,      0.797812759521718, 0.673816738147829, 0.793158171270894,      0.740013435080822, 0.252669932820992, 0.730447684580082,      0.590831178240684, 0.590831178240684, 0.522077155701705,      0.453815632281196, 0.128609360773056, 0.419412974707088,      0.427108887982576, 0.504795745143921, 0.53300655679357, 0.53300655679357,      0.653367521351592, 0.460645764817668, 0.674936552563307),          PROX_PARK = c(1.64853798443183, 1.70244245234235, 1.5130077643247,          1.59669720594139, 1.46267930314228, 1.18807543108152,          1.39545287332227, 1.47164498360674, 1.47164498360674,          1.17885821480356, 1.24959985284921, 0.826869373992433,          0.571339732684777, 0.688779163701323, 0.48638578612152,          0.722711239268322, 0.722711239268322, 0.32735774848914,          0.711243459523284, 0.773048101136696), PROX_GOOD_PRISCH = c(7.93716312588154,          7.98012169831377, 7.76907239486735, 7.82238149093771,          7.66085245964853, 7.55033959010056, 7.5739079893598,          7.888904100652, 7.888904100652, 7.40748446052123, 7.68034428555912,          7.18541951227303, 6.89348817522951, 7.12110535783693,          6.80828229467371, 7.13952904562396, 7.13952904562396,          6.76031366250815, 6.77397603493671, 5.74516136190441),          PROX_MALL = c(0.644198936007264, 0.713200150273906, 0.597930181439745,          0.719585865775528, 0.678684538412688, 0.165557901737932,          0.677813655888015, 0.521008948961951, 0.521008948961951,          0.484270435079706, 0.413606644895247, 0.168053149288668,          0.427317836890542, 0.337595745740984, 0.510483215269896,          0.27529824968273, 0.27529824968273, 0.388175183991252,          0.345326846187852, 0.744876648240093), PROX_CHAS = c(0.678651577140463,          0.748586514709626, 0.638199243310692, 0.760340467100735,          0.720584477651296, 0.194474796894964, 0.71936188995133,          0.524369302913132, 0.524369302913132, 0.52365796939069,          0.303266380929536, 0.170995488718356, 0.429996386722335,          0.279591917356114, 0.513107963149175, 0.222759343861358,          0.222759343861358, 0.380772978950647, 0.286223989121013,          0.0812821875339188), PROX_SUPERMARKET = c(0.771245719522698,          0.842475689687135, 0.718466194952364, 0.837223205851576,          0.780695486504835, 0.284398337107734, 0.768274584157999,          0.559408220033625, 0.559408220033625, 0.555366708418936,          0.387759857324111, 0.103652200866821, 0.386156989530241,          0.344537051235884, 0.471223408024363, 0.243987988302975,          0.243987988302975, 0.422789252098693, 0.377165028023417,          0.325050502595441), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L,          2L, 2L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          2L, 2L, 1L, 4L, 1L, 4L, 4L, 1L, 5L, 5L, 3L, 6L, 3L, 5L,          5L, 4L, 1L, 3L), WITHIN_350M_BUS = c(5L, 5L, 7L, 5L,          7L, 11L, 9L, 2L, 2L, 8L, 5L, 9L, 8L, 12L, 7L, 11L, 11L,          6L, 2L, 12L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L,          4L, 2L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L,          3L), DNeighbour = c(0, 72.3742946475518, 213.221023557886,          276.28359294962, 402.242982086157, 488.076902564704,          489.761736596683, 521.688509481821, 525.054248523322,          553.84153592928, 710.024902056376, 833.354508775152,          1098.41496192406, 1119.503845625, 1176.1798222949, 1201.61120968308,          1205.12974058892, 1384.08067187256, 1818.37109707846,          2207.44772216823)), row.names = c("525", "127", "208",      "431", "416", "125", "121", "822", "813", "156", "326", "918",      "820", "261", "451", "673", "898", "252", "498", "299"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.997851257644393, 0.981427153205695, 0.96891546772642, 0.934693664167966,      0.904615452661909, 0.903972427059093, 0.891414727407755,      0.89005000874114, 0.878064208184848, 0.803786605980128, 0.735270312202835,      0.56610457164382, 0.551752402301207, 0.512798084237497, 0.495178867675271,      0.492736087936621, 0.368284860588012, 0.103327761941565,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1082501857 
R squared (OOB):                  0.2979923 

$Forests[[526]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 355000, 308000,      315000, 360000, 360000, 365000, 428000, 365000, 370000, 420000,      446000, 325000, 370000, 333000, 347000, 3e+05, 340000, 390000,      395000), floor_area_sqm = c(103, 103, 84, 84, 99, 103, 107,      90, 103, 98, 90, 107, 84, 104, 103, 103, 84, 104, 104, 90     ), storey_order = c(2L, 3L, 1L, 3L, 2L, 1L, 1L, 8L, 4L, 2L,      8L, 3L, 2L, 2L, 2L, 3L, 2L, 1L, 1L, 5L), remaining_lease_mths = c(800,      793, 795, 788, 796, 777, 766, 1008, 768, 767, 1011, 783,      783, 763, 788, 777, 797, 772, 763, 1010), PROX_CBD = c(13.46147060752,      13.46147060752, 13.3304860768802, 13.0463978034086, 13.8977069202737,      13.7231688188033, 13.578535689825, 13.8412030491349, 12.6612960596841,      12.6407298816561, 13.8798013735997, 13.1163383572019, 14.1279251783367,      13.075732494377, 14.3532733654858, 12.4516179583977, 14.3169519114025,      13.1145091682395, 13.1145091682395, 13.990153115514), PROX_ELDERLYCARE = c(1.01995663096129,      1.01995663096129, 0.85382998667073, 0.612412426395362, 1.56746404607568,      0.681177733621966, 0.535215785060316, 1.74703283433278, 0.349885373003571,      0.198383641986835, 1.77270985488013, 0.258125844069092, 1.66641228888996,      0.206309775801723, 1.6760601574403, 0.517665393733001, 1.55261218152075,      0.233566729538939, 0.233566729538939, 1.56992496550613),          PROX_HAWKER = c(1.03983060555389, 1.03983060555389, 1.09459947163448,          1.36023111372333, 1.04237506554324, 0.601426993813282,          0.775756145922257, 1.43519165592487, 1.71720286170745,          1.70233840124208, 1.47024255459416, 1.23349193679857,          1.24304803992561, 1.2806114078583, 0.99569743308136,          1.97187302693261, 1.19367588944735, 1.24018164124527,          1.24018164124527, 1.69002608854433), PROX_MRT = c(0.367668143276235,          0.367668143276235, 0.525688124362732, 0.622051877914657,          0.300373388684648, 0.498221170198522, 0.357978123578611,          0.462396576385451, 0.798149237832703, 0.712674611555213,          0.523014705157119, 0.166998983475289, 0.59155533687368,          0.218393806785847, 0.756418829435307, 1.07246547116041,          0.753004841751307, 0.402767024758649, 0.402767024758649,          0.789673249073619), PROX_PARK = c(0.582693033366388,          0.582693033366388, 0.620743454357064, 0.572775970192077,          0.782220037546154, 1.26781451063295, 1.33984402369384,          0.752068597068081, 0.722272593032778, 0.87239282209614,          0.782127938386311, 1.28385310080255, 1.00515750023779,          1.31516124688894, 1.20426051281307, 0.540079114132334,          1.00962818739137, 1.4917670023494, 1.4917670023494, 0.716145735764812         ), PROX_GOOD_PRISCH = c(3.38131302543864, 3.38131302543864,          3.24954726475941, 2.96540091825049, 3.83525569342672,          3.673854441535, 3.55013641033528, 3.82728738248792, 2.58047246486208,          2.56532775368338, 3.87304276717541, 3.10133739012884,          4.09179045416031, 3.06740437701091, 4.29145341198416,          2.37408427308534, 4.27446656255715, 3.15473759747012,          3.15473759747012, 4.0269654833207), PROX_MALL = c(0.644549177151603,          0.644549177151603, 0.513372166694422, 0.587476612974174,          1.14150204308926, 0.406890039239853, 0.305514521023982,          1.33339622609195, 0.817237002784756, 0.751522975449472,          1.33861894221302, 0.281310431650798, 1.48884664162065,          0.332903613799786, 1.45738633765159, 1.09246464633101,          1.50622914679999, 0.504156272689578, 0.504156272689578,          1.32125061115982), PROX_CHAS = c(0.348399033159575, 0.348399033159575,          0.472814153962233, 0.40513819943783, 0.162936326565904,          0.176857487498571, 0.282171570268124, 0.116038559859119,          0.248450831201433, 0.217156748290024, 0.058882652003164,          0.155371621529032, 0.283027750434604, 0.122328851042638,          0.0428610630237518, 0.137011223676854, 0.149961616171305,          0.11048408202451, 0.11048408202451, 0.231188025602735         ), PROX_SUPERMARKET = c(0.356146193343619, 0.356146193343619,          0.510727353781082, 0.599997973636583, 0.162936951836525,          0.270532795629183, 0.281417393052806, 0.116038559858059,          0.326739034058403, 0.217156859083098, 0.0588826520022197,          0.141466460051892, 0.283027750434408, 0.193246634773484,          0.400567683079086, 0.417679622168911, 0.277976240278344,          0.362446168440829, 0.362446168440829, 0.231188025603748         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 0L, 0L,          1L, 1L, 2L, 2L, 1L, 0L, 2L, 0L, 2L, 1L, 3L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 2L, 4L, 4L,          4L, 3L, 3L, 4L, 2L, 4L, 3L, 4L, 3L, 3L, 3L, 6L, 6L, 1L         ), WITHIN_350M_BUS = c(6L, 6L, 5L, 7L, 5L, 8L, 10L, 5L,          12L, 10L, 5L, 9L, 10L, 10L, 10L, 9L, 9L, 7L, 7L, 4L),          WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 3L, 3L, 4L, 3L,          3L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 2L), DNeighbour = c(0,          9.16059488492462, 179.143023344571, 436.09095565051,          546.865899650245, 697.159681688102, 805.840394547978,          819.838398596941, 820.479995425, 872.239835885782, 881.688140663309,          895.257110086929, 901.813839434543, 942.188178730811,          965.957721029981, 1017.46125178973, 1022.21902860196,          1143.99738976709, 1145.37032375219, 1154.50033384913)), row.names = c("526",      "332", "61", "987", "479", "960", "856", "678", "552", "477",      "877", "105", "893", "929", "697", "851", "650", "844", "164",      "276"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999874085555655,      0.952424695534707, 0.734995930187106, 0.601594865820027,      0.403669428000544, 0.262960777436141, 0.245742185319204,      0.24495997042641, 0.184212928135849, 0.173694974132145, 0.158943773700049,      0.151973108680072, 0.111542737206763, 0.0899709203679623,      0.0498674212051145, 0.0466686859455344, 0.000328045444498937,      0.000248183605287755, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1121300506 
R squared (OOB):                  0.2838223 

$Forests[[527]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 367000, 380000,      380000, 362500, 425000, 408000, 385000, 415000, 430000, 360000,      450000, 4e+05, 425000, 410000, 415000, 390000, 412000, 422500,      420000), floor_area_sqm = c(109, 104, 107, 106, 103, 104,      105, 84, 108, 107, 84, 106, 107, 104, 106, 108, 109, 104,      104, 106), storey_order = c(1L, 1L, 2L, 1L, 3L, 2L, 1L, 2L,      2L, 4L, 3L, 2L, 1L, 4L, 2L, 3L, 1L, 2L, 3L, 3L), remaining_lease_mths = c(889,      879, 871, 887, 819, 801, 797, 815, 891, 868, 811, 919, 912,      775, 871, 904, 908, 878, 765, 874), PROX_CBD = c(14.7712425946156,      14.66420827852, 15.2330821453909, 15.0291078847704, 14.3801998083441,      13.9224032790502, 13.8987191813532, 13.8115996810708, 13.8459786715751,      15.2985874116244, 14.7472020389823, 13.6245617307962, 13.6047453762483,      13.5598735525989, 15.428944563277, 13.7944980809676, 13.9032473641583,      14.1313829663274, 13.4875816574924, 13.629257933267), PROX_ELDERLYCARE = c(0.729534612359916,      0.719957479461771, 1.22808745848404, 1.09928331705025, 0.709377020411434,      0.160860892679658, 0.166628987045545, 0.244605555667631,      0.429452782693922, 1.41400995500373, 1.19052284520552, 0.120631950903102,      0.271914041498034, 0.555470204987842, 1.63977306379889, 0.91518434198946,      1.01451296282065, 0.836104821253693, 0.428841001075194, 0.207468408301612     ), PROX_HAWKER = c(1.70286767909083, 1.17971772396452, 1.40985252978436,      1.15922930524208, 0.928921275219278, 1.57003684649171, 1.60647998640073,      1.71143518366979, 1.71981564227335, 1.16406043263713, 0.606039227085063,      1.48009929412898, 1.50728197565297, 1.44869421276883, 1.09717995764468,      1.66782294138278, 1.79397933605035, 0.73352935155883, 1.41347495302278,      1.4012681206183), PROX_MRT = c(1.0665313702167, 1.12495588646837,      1.62235809597188, 1.36685465541241, 1.02650412956774, 0.375491068655226,      0.337555536848429, 0.198072339225813, 0.2084775132707, 1.40304810962874,      0.807097621625513, 0.357520644011877, 0.222008379422339,      0.172867375742438, 1.35104476777798, 0.658832763416297, 0.800124130005956,      0.735653331318593, 0.229256973107587, 0.681065013996815),          PROX_PARK = c(0.405128535389849, 0.823954351824118, 0.633472210001671,          0.808345234949979, 0.71485218383349, 0.819174175884815,          0.83983547285748, 0.925135888784, 1.1446906726086, 0.98341166564854,          0.432698189125414, 0.731000545087102, 0.882483872449952,          1.16233583500127, 1.02148060415503, 0.645156432286565,          0.561902145555774, 0.463826523913091, 1.00267286051928,          0.403276931712581), PROX_GOOD_PRISCH = c(3.13265552080448,          2.99834463762659, 3.56691345353299, 3.36640767040689,          2.72778429145315, 2.26578798898653, 2.24487256678893,          2.17137072991142, 2.27101821651052, 3.64472604970499,          3.13467644284063, 1.96554365084008, 1.96272742295518,          1.97663004084467, 3.79601078940401, 2.39271928635374,          2.54268815221988, 2.52734391167264, 1.87202126825599,          1.96779323327463), PROX_MALL = c(0.541352629222412, 0.669111824361406,          0.253259472709144, 0.486526360127578, 0.949257633150117,          1.34118728457461, 1.33259876169033, 1.25122768833936,          1.35153556565047, 0.597111778941966, 0.738705771798207,          1.05956757611768, 1.0427530371351, 1.05810160080284,          0.809004632748584, 1.14990641994387, 1.19892197022629,          0.66282583229379, 0.948424723316687, 1.12429495075828         ), PROX_CHAS = c(0.220588325506638, 0.38494516455544,          0.210576528602503, 0.228652490110126, 0.453083161817035,          0.0806372798138111, 0.0582471476749484, 0.130123043615932,          0.345234103044859, 0.0911939042613644, 0.19051372613691,          2.17172157220984e-06, 0.15212794302602, 0.180657994610612,          0.352996738297868, 0.17469359838053, 0.278906060515125,          0.528800676490504, 0.231037598077535, 0.260044927245007         ), PROX_SUPERMARKET = c(0.49532093691776, 0.384052647553184,          0.21397076195142, 0.234691730121176, 0.513065398645433,          0.189550835904173, 0.2065347950197, 0.30366394922488,          0.426625283183798, 0.408284988301129, 0.326764101800336,          0.237807435452358, 0.353624023725788, 0.180658044884504,          0.252078878715955, 0.357404112790227, 0.357092891009527,          0.528799775767506, 0.231037826802092, 0.288903462518554         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 3L, 2L, 0L, 3L,          2L, 0L, 1L, 2L, 3L, 3L, 0L, 2L, 0L, 1L, 0L, 0L, 2L, 3L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 1L, 2L, 5L, 6L, 3L, 2L, 3L, 2L, 3L, 2L, 6L         ), WITHIN_350M_BUS = c(8L, 7L, 12L, 8L, 2L, 9L, 9L, 10L,          12L, 13L, 9L, 10L, 12L, 11L, 11L, 7L, 7L, 6L, 10L, 6L         ), WITHIN_1KM_PRISCH = c(1L, 3L, 3L, 3L, 3L, 3L, 4L,          5L, 5L, 3L, 3L, 4L, 5L, 6L, 3L, 4L, 3L, 2L, 5L, 2L),          DNeighbour = c(0, 522.231339918547, 663.503502877302,          692.78374886236, 866.700134952218, 871.910632346183,          894.243110756458, 955.668098148684, 962.021958099071,          971.33824182036, 1122.93076669, 1171.734411644, 1175.81516705183,          1225.451918156, 1234.93903493449, 1242.53001662456, 1253.30868896588,          1258.80473595666, 1286.0057002476, 1289.86686149207)), row.names = c("527",      "686", "428", "314", "3", "219", "531", "235", "970", "934",      "136", "656", "955", "564", "899", "542", "113", "695", "663",      "503"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.699027149678859,      0.540807039887471, 0.506270254342437, 0.300863422826624,      0.294919878096014, 0.269733057016932, 0.203455660654891,      0.19690249605987, 0.187411955445084, 0.0586087896695279,      0.0305488098833653, 0.0285692001901165, 0.0094837431587018,      0.00694802352130914, 0.00519137753145613, 0.00312278507104781,      0.00226417795910308, 3.5735929427672e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       645613097 
R squared (OOB):                  -0.06443905 

$Forests[[528]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(422800, 429000, 360000,      548000, 550000, 435000, 430000, 376888, 438000, 447000, 450000,      390000, 4e+05, 420000, 478000, 412000, 390000, 380000, 423800,      415000), floor_area_sqm = c(104, 104, 84, 93, 93, 103, 104,      104, 104, 107, 105, 104, 91, 104, 104, 103, 102, 104, 104,      104), storey_order = c(4L, 2L, 2L, 4L, 3L, 4L, 2L, 3L, 2L,      3L, 2L, 1L, 1L, 2L, 5L, 4L, 2L, 1L, 2L, 2L), remaining_lease_mths = c(813,      822, 762, 1135, 1137, 819, 819, 810, 812, 782, 757, 809,      783, 922, 770, 918, 763, 924, 756, 760), PROX_CBD = c(11.1672746170477,      11.1191912667925, 11.4815172953657, 11.1809634086998, 11.2116042179965,      11.381621166991, 11.547248638023, 11.622690560426, 11.7215458353159,      11.7840832214562, 11.4573592114175, 11.7882471009294, 11.4963900230166,      11.8892341343185, 11.927322045494, 11.9871965659798, 11.6387779682198,      12.0301392517655, 11.7174653186763, 11.6914583773846), PROX_ELDERLYCARE = c(0.14075304944647,      0.213121327483379, 0.182032582488253, 0.333450295290741,      0.369355324070756, 0.382123855460196, 0.246353759583753,      0.175524774720266, 0.240093333498969, 0.481333190444255,      0.52883250894194, 0.114277277444971, 0.672630859926948, 0.110349805405523,      0.77464979732367, 0.210296865683283, 0.792216801753581, 0.255083942589415,      0.74375074589335, 0.736997311630605), PROX_HAWKER = c(1.04840790050398,      1.08329799955244, 0.728271246274353, 1.04207495818587, 1.02311573056961,      0.863892291353285, 0.837769476188058, 0.783966268147895,      0.609281739536534, 0.436117874461739, 0.848364442784946,      0.647051853283446, 0.804785607263954, 0.684056106771311,      0.445987433628815, 0.625285574708341, 0.61454926069889, 0.598391326300702,      0.5637831570093, 0.558671781535233), PROX_MRT = c(0.893429463565323,      0.776456939054752, 0.756359380624344, 0.580267989687754,      0.524888394814585, 0.424871345706255, 1.16228231940478, 1.15515804744233,      0.989064774064853, 0.81394482428473, 0.275269590424193, 1.00317447086964,      0.132306565433056, 1.00424261648768, 0.493642118682657, 0.923336133969517,      0.0844107562606101, 0.885297742933312, 0.162940637784707,      0.140110279979828), PROX_PARK = c(1.25063890429238, 1.13833451608328,      1.50398184725757, 1.13378306757762, 1.15338615463339, 1.31830174708739,      1.4881280763212, 1.41684131410086, 1.28416187507733, 1.20101103678102,      1.3775538710324, 1.24877122811849, 1.41209410927924, 1.19263079577799,      1.17760662255222, 1.09395352284574, 1.51709061898346, 1.04875150887626,      1.5229705853841, 1.50772581466401), PROX_GOOD_PRISCH = c(0.623353133039123,      0.586469336292635, 0.365254403810308, 0.485317217067727,      0.456074275886943, 0.288839241027683, 0.735233663606362,      0.733057242670121, 0.585140695782779, 0.357669915539773,      0.277148461253506, 0.713901761199557, 0.364349890680966,      0.842915880539328, 0.289303568244907, 0.855677549512306,      0.453346371612442, 0.860616187528585, 0.440184840714675,      0.476923220580037), PROX_MALL = c(1.08293003315278, 1.10160019948421,      0.763531318053358, 1.03968747299659, 1.01522535242687, 0.849953313581112,      0.918014501744059, 0.868993594299523, 0.690287469384684,      0.489619370966043, 0.815329638117364, 0.741052769880115,      0.844787863205902, 0.787722851944232, 0.376851773239706,      0.732793638615111, 0.815834004295584, 0.707201836140707,      0.750703947848918, 0.797799046209296), PROX_CHAS = c(0.151540147087551,      0.143881852296294, 0.0516610437101642, 0.216965800691496,      0.206252010873132, 0.115324197479935, 0.157099147473317,      0.151742844958785, 0.164718468919614, 0.0667093090499658,      0.179820414455961, 0.0554870656895364, 0.0697008731150885,      0.124859952031804, 0.339292519878925, 0.171681037809818,      0.0804697697946077, 0.202915262499126, 4.64133788220832e-08,      0.0474151678735614), PROX_SUPERMARKET = c(0.299482732316256,      0.246182427713253, 0.19171128272723, 0.212835414763751, 0.222574928361305,      0.186698572696543, 0.157098334004615, 0.151741730066283,      0.169255457402684, 0.379080894647373, 0.301981775400679,      0.0453848138423891, 0.441950593919319, 0.114394571204967,      0.405378875546255, 0.172282484091702, 0.596048194106483,      0.20670525505664, 0.609798994765399, 0.635527990773791),          WITHIN_350M_KINDERGARTEN = c(2L, 2L, 0L, 0L, 0L, 0L,          1L, 1L, 2L, 2L, 0L, 3L, 0L, 2L, 0L, 2L, 0L, 2L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 5L, 3L, 4L, 4L,          7L, 7L, 6L, 3L, 4L, 8L, 2L, 8L, 2L, 5L, 3L, 5L, 3L, 3L         ), WITHIN_350M_BUS = c(14L, 9L, 14L, 7L, 6L, 10L, 11L,          8L, 10L, 7L, 7L, 9L, 8L, 9L, 9L, 6L, 6L, 7L, 5L, 6L),          WITHIN_1KM_PRISCH = c(2L, 2L, 3L, 2L, 2L, 3L, 2L, 2L,          3L, 4L, 3L, 3L, 3L, 2L, 4L, 2L, 3L, 2L, 3L, 3L), DNeighbour = c(0,          169.550429173975, 311.997026142765, 353.077832338858,          405.620498772347, 466.729112796177, 508.843848428209,          569.358768345011, 585.141060429114, 609.414574035345,          617.932289603708, 693.268254715757, 762.941604327759,          830.493085900834, 904.040690738942, 904.542077221121,          937.542239137101, 942.183927870902, 965.579992290715,          989.276785295347)), row.names = c("528", "845", "213",      "178", "347", "744", "598", "750", "625", "340", "843", "508",      "151", "148", "666", "689", "522", "727", "941", "274"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.942114955228689, 0.810965354370902, 0.761463605104126,      0.692034141760625, 0.60437547431612, 0.540863714839509, 0.447246451236261,      0.422691215138823, 0.385043829339429, 0.371901099309101,      0.258982595992157, 0.164213677109578, 0.087171295708401,      0.0271908447774742, 0.0268861290726728, 0.0103746120815584,      0.00863794772315676, 0.00224046295252923, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1960880220 
R squared (OOB):                  0.1981964 

$Forests[[529]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 363000, 358000,      4e+05, 430000, 345000, 672000, 660000, 370000, 355000, 440000,      550000, 675000, 710000, 662000, 715000, 680000, 685000, 380000,      720000), floor_area_sqm = c(84, 84, 84, 104, 104, 84, 85,      85, 84, 84, 91, 102, 95, 93, 95, 95, 95, 93, 93, 93), storey_order = c(1L,      4L, 3L, 2L, 2L, 1L, 5L, 3L, 3L, 3L, 5L, 3L, 2L, 6L, 3L, 6L,      4L, 2L, 3L, 3L), remaining_lease_mths = c(780, 780, 770,      783, 781, 789, 1042, 1032, 777, 782, 669, 761, 1093, 1084,      1093, 1099, 1084, 1142, 790, 1143), PROX_CBD = c(6.73119135364588,      6.82164733234375, 6.82164733234375, 6.8579883001408, 7.27303659463988,      7.23308787648785, 6.58265946872266, 6.62545736407856, 7.32999369210923,      7.37752466520609, 6.95185067667089, 6.04257091454572, 6.15852201326599,      6.17931132662417, 6.11286474740545, 6.06656257116635, 6.04001281876484,      6.19231755176043, 7.92065359752155, 6.10189119169168), PROX_ELDERLYCARE = c(0.709869492714774,      0.729511559050305, 0.729511559050305, 0.650979480304367,      0.949520652768775, 0.804640181087392, 0.129826558983194,      0.121758896932011, 1.04617467786566, 1.11141904944431, 0.368543492371998,      0.548656319889636, 0.428116600598184, 0.411122241220865,      0.471592353212743, 0.516985202466339, 0.545921172841312,      0.355678840187058, 1.44631042678071, 0.230112759455232),          PROX_HAWKER = c(0.84617550022745, 0.834207881424508,          0.834207881424508, 0.732876252375814, 0.905159668549179,          0.727393295990439, 0.37361464573735, 0.33268573973532,          1.00458194418859, 1.06790139631185, 0.163396016993116,          0.19523132016882, 0.104458461300263, 0.114709112077857,          0.0855319563513606, 0.0900485470251793, 0.0606577495598573,          0.287310245845902, 0.646393168274836, 0.193610514045812         ), PROX_MRT = c(0.447149108468339, 0.401668294921849,          0.401668294921849, 0.479854345281657, 0.477339162120678,          0.626719191507479, 0.288098631383321, 0.255638745600017,          0.446590670593176, 0.450606800129455, 0.258776848421036,          0.448203274012385, 0.567634817298681, 0.54480998513683,          0.576684647572531, 0.530436532640755, 0.53617676606472,          0.3593423355956, 0.434970780163821, 0.385901790532203         ), PROX_PARK = c(1.30601230217613, 1.33915084667526,          1.33915084667526, 1.26891760289394, 1.28136359713013,          1.17683143601381, 0.734858817801552, 0.741691321664553,          1.30043300411079, 1.30417314517193, 0.871860056746433,          0.651264615899835, 0.487498062645995, 0.461766774013401,          0.517760851715104, 0.548254609843109, 0.524571131123829,          0.861129399478803, 0.790688256163915, 0.835974869985028         ), PROX_GOOD_PRISCH = c(2.67147237000904, 2.67483404440455,          2.67483404440455, 2.57894825178105, 2.72285479219865,          2.53413597667736, 2.10026546945211, 2.08436883673306,          2.81856751915823, 2.87682745937193, 1.99104033276262,          2.14268529299874, 1.97696478280336, 1.95037752635058,          2.00772186702724, 2.03651743937875, 2.00925132829891,          3.647323571983, 2.86596411907387, 3.72727940395598),          PROX_MALL = c(0.894914409230097, 0.977306285381771, 0.977306285381771,          0.985446043286547, 1.40144317349524, 1.33824767405872,          0.712222885156031, 0.757747380414752, 1.4733570331857,          1.52964479685301, 1.10491400246256, 0.264532440460292,          0.446404896609829, 0.476611693189829, 0.403935094648282,          0.365617038961166, 0.387042201482337, 1.22999734499907,          2.02812113432733, 1.26544404340832), PROX_CHAS = c(0.468632365618207,          0.389404577789016, 0.389404577789016, 0.418063314797021,          0.150676124399865, 0.335243362149438, 0.19769969897302,          0.152169077912936, 0.100781853121145, 0.123680988169118,          0.197049444171332, 0.12619956254809, 0.0766942583569258,          0.10259225576309, 0.0679258481743644, 0.0929349198733403,          0.134421273847083, 0.255647811562625, 0.0418426354504526,          0.131092152612185), PROX_SUPERMARKET = c(0.541263540151477,          0.457775852816324, 0.457775852816324, 0.471666412940503,          0.216512452964216, 0.400791637001426, 0.255985378039003,          0.21094349839638, 0.154588063793208, 0.15284622075069,          0.145490551360364, 0.178930757423705, 0.11965836137487,          0.134806953278168, 0.0895469396191502, 0.0785030623714358,          0.0393286469640316, 0.108411284353298, 0.6226371739075,          0.0250108723026275), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 2L, 1L, 0L, 1L, 1L, 1L,          1L, 1L, 0L, 2L, 1L), WITHIN_350M_CHILDCARE = c(2L, 1L,          1L, 1L, 4L, 2L, 0L, 0L, 4L, 5L, 3L, 4L, 3L, 3L, 3L, 3L,          4L, 2L, 3L, 2L), WITHIN_350M_BUS = c(4L, 4L, 4L, 3L,          7L, 4L, 2L, 2L, 8L, 9L, 4L, 7L, 6L, 6L, 6L, 8L, 8L, 10L,          6L, 9L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L, 3L,          2L, 2L, 3L, 3L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 2L         ), DNeighbour = c(0, 94.4510198776589, 95.1109954707068,          167.512686291835, 543.390880915858, 558.481077409591,          583.055960727431, 591.361325690487, 600.768807305657,          653.79404260963, 746.739541541804, 888.92845359348, 920.854438566465,          930.816019530306, 939.182964990638, 950.362217766728,          992.731247357827, 1166.35357897216, 1211.67440503118,          1280.09037322463)), row.names = c("529", "322", "46",      "168", "611", "171", "388", "841", "187", "948", "492", "453",      "23", "756", "536", "297", "930", "305", "1", "812"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.989141289949562, 0.988989430989826, 0.966044539671589,      0.672079766849272, 0.655545342910108, 0.628115984842925,      0.618716245387388, 0.607996165732577, 0.546334008660776,      0.435209170838431, 0.268087925891145, 0.232817341381649,      0.222081089899663, 0.213172875352219, 0.201435278476859,      0.158861319589952, 0.0288343377624478, 0.0108234699023423,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4175205875 
R squared (OOB):                  0.8298689 

$Forests[[530]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(465000, 455000, 450000,      418000, 385000, 4e+05, 365000, 430000, 4e+05, 390000, 410000,      425000, 435000, 410000, 420000, 373000, 4e+05, 371000, 398000,      330000), floor_area_sqm = c(106, 106, 93, 112, 90, 90, 91,      91, 91, 90, 93, 93, 92, 92, 92, 92, 92, 91, 92, 105), storey_order = c(2L,      4L, 4L, 5L, 3L, 3L, 4L, 4L, 2L, 2L, 4L, 4L, 4L, 3L, 5L, 1L,      1L, 2L, 2L, 1L), remaining_lease_mths = c(933, 933, 950,      904, 1060, 953, 1061, 962, 956, 947, 1117, 1126, 1129, 1131,      1134, 1128, 1127, 957, 1136, 896), PROX_CBD = c(17.1401277939721,      17.1634204962367, 17.4336546583772, 17.2048826778539, 17.6242343596777,      17.5759295796121, 17.5974072281911, 17.4594236905894, 17.5146993337396,      17.5579663674298, 17.3263676504413, 17.3263676504413, 17.2397585888566,      17.2397585888566, 17.2397585888566, 17.1731083577317, 17.1731083577317,      17.630719557776, 17.26435404508, 17.9794873864528), PROX_ELDERLYCARE = c(0.586863575497558,      0.565792923614884, 0.825709875044437, 0.400468425457175,      0.892136309268664, 1.07156662032258, 0.819477307137174, 1.1429422216578,      1.21552371031002, 1.26304449634962, 0.561119780492452, 0.561119780492452,      0.500148198332671, 0.500148198332671, 0.500148198332671,      0.456899326246073, 0.456899326246073, 1.35614304544574, 0.542806768712765,      1.20397588034421), PROX_HAWKER = c(0.685044657792881, 0.666841975849823,      0.841716009165303, 0.498365875295267, 0.816419857336687,      0.622851592932912, 0.922900854400271, 0.704564458032275,      0.65109908849923, 0.610726758846462, 0.631285601786086, 0.631285601786086,      0.55990768529081, 0.55990768529081, 0.55990768529081, 0.507233229895407,      0.507233229895407, 0.550798352023498, 0.598096651463893,      0.736691454978467), PROX_MRT = c(0.418422993771755, 0.463116738810145,      0.463093751675267, 0.87869292375624, 0.729175757939742, 0.449846795062068,      0.830609903675807, 0.304209523777939, 0.367017506823782,      0.415424130147435, 1.13344401626098, 1.13344401626098, 1.16124452414741,      1.16124452414741, 1.16124452414741, 1.18009183772516, 1.18009183772516,      0.481509556817778, 1.20599959693509, 1.05284557964442), PROX_PARK = c(0.454841043819919,      0.505224516024672, 0.609424449579261, 0.9054780070858, 0.830497330619545,      0.650211227804106, 0.751240825934154, 0.515475588097358,      0.57589083993138, 0.622915525490857, 0.872985599051717, 0.872985599051717,      0.959994438388966, 0.959994438388966, 0.959994438388966,      1.02763138312455, 1.02763138312455, 0.706852169587072, 0.937816003807321,      0.555889077383573), PROX_GOOD_PRISCH = c(6.48254224033906,      6.50789265243056, 6.77374769998522, 6.57740517739392, 6.97273607492461,      6.90999703096039, 6.95474206477502, 6.79149624878531, 6.84682201594428,      6.89020500321914, 6.72174636420399, 6.72174636420399, 6.64012383316355,      6.64012383316355, 6.64012383316355, 6.57664814247058, 6.57664814247058,      6.96345421686322, 6.66937916554136, 7.33264137396139), PROX_MALL = c(0.306862579253759,      0.353588302636786, 0.404491618549369, 0.446026044391999,      0.671391539314818, 0.456006423255308, 0.757845794253982,      0.366883459562171, 0.437698049352173, 0.488271313828636,      0.530342726071102, 0.530342726071102, 0.450738515511335,      0.450738515511335, 0.450738515511335, 0.392080122681935,      0.392080122681935, 0.581015113036356, 0.484724019608978,      0.387548928263219), PROX_CHAS = c(0.133156315003352, 0.171584438209325,      0.260153188296123, 0.130380344727655, 0.0497500971788425,      0.401255348981324, 0.175468897673469, 0.293637386768921,      0.354009255575758, 0.40162373925963, 0.254413742194056, 0.254413742194056,      0.221318263528924, 0.221318263528924, 0.221318263528924,      0.214971829128206, 0.214971829128206, 0.481496129777697,      0.270084445320348, 0.324283073315245), PROX_SUPERMARKET = c(0.27639551573194,      0.320581809168482, 0.355873580059747, 0.445962312606475,      0.442456788826315, 0.338457664260807, 0.336744227428862,      0.217741105325511, 0.288534867112482, 0.339170507836652,      0.529573977763673, 0.529573977763673, 0.449846933875903,      0.449846933875903, 0.449846933875903, 0.391090025360665,      0.391090025360665, 0.432325009404537, 0.483753219919624,      0.337417678694655), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 3L, 0L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,      2L, 2L, 2L), WITHIN_350M_CHILDCARE = c(3L, 4L, 4L, 2L, 2L,      5L, 3L, 6L, 6L, 6L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 6L, 4L, 3L     ), WITHIN_350M_BUS = c(7L, 8L, 12L, 8L, 12L, 8L, 6L, 8L,      10L, 9L, 5L, 5L, 6L, 6L, 6L, 8L, 8L, 8L, 6L, 9L), WITHIN_1KM_PRISCH = c(4L,      4L, 6L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 2L,      2L, 4L, 3L, 5L), DNeighbour = c(0, 45.7753743550057, 292.332722874812,      458.61004919679, 498.720895840285, 505.304412272322, 532.539363426377,      553.268386232118, 623.730722356382, 674.225500347413, 720.044778819118,      721.958861311958, 744.532297985364, 744.754010598927, 750.296597458186,      763.28530321157, 765.797092660754, 772.158854111548, 790.891083968468,      864.651929256321)), row.names = c("530", "991", "535", "889",      "300", "357", "720", "937", "93", "545", "797", "925", "290",      "86", "280", "985", "507", "547", "847", "870"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.994402396356865, 0.784452366715933, 0.516497315540818,      0.44531004487297, 0.433588236886936, 0.385227335970415, 0.348762435975105,      0.230045636233232, 0.153637505368554, 0.0939521209288819,      0.0917025260385199, 0.0668458200690821, 0.0666176377476482,      0.0610189804042539, 0.0487191873410342, 0.0464777435116438,      0.0410062573855342, 0.0266788710723698, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1012732018 
R squared (OOB):                  0.06606279 

$Forests[[531]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(408000, 425000, 385000,      450000, 4e+05, 365000, 415000, 422500, 468000, 420000, 425000,      405000, 362500, 367000, 440000, 412000, 390000, 415000, 415000,      395000), floor_area_sqm = c(105, 104, 84, 106, 107, 84, 108,      104, 106, 106, 104, 106, 103, 104, 104, 104, 109, 103, 108,      103), storey_order = c(1L, 2L, 2L, 2L, 1L, 4L, 2L, 3L, 5L,      3L, 4L, 2L, 3L, 1L, 3L, 2L, 1L, 2L, 3L, 4L), remaining_lease_mths = c(797,      801, 815, 919, 912, 787, 891, 765, 863, 874, 775, 778, 819,      879, 752, 878, 889, 768, 904, 772), PROX_CBD = c(13.8987191813532,      13.9224032790502, 13.8115996810708, 13.6245617307962, 13.6047453762483,      13.5012180894848, 13.8459786715751, 13.4875816574924, 13.629257933267,      13.629257933267, 13.5598735525989, 13.2146489403719, 14.3801998083441,      14.66420827852, 13.1913836000948, 14.1313829663274, 14.7712425946156,      13.0537205387581, 13.7944980809676, 13.1724132817366), PROX_ELDERLYCARE = c(0.166628987045545,      0.160860892679658, 0.244605555667631, 0.120631950903102,      0.271914041498034, 0.126566715598502, 0.429452782693922,      0.428841001075194, 0.207468408301612, 0.207468408301612,      0.555470204987842, 0.392334185262972, 0.709377020411434,      0.719957479461771, 0.779182108791446, 0.836104821253693,      0.729534612359916, 0.569472877275307, 0.91518434198946, 0.906244923447749     ), PROX_HAWKER = c(1.60647998640073, 1.57003684649171, 1.71143518366979,      1.48009929412898, 1.50728197565297, 1.32455892398921, 1.71981564227335,      1.41347495302278, 1.4012681206183, 1.4012681206183, 1.44869421276883,      1.1504484389926, 0.928921275219278, 1.17971772396452, 1.05769292681279,      0.73352935155883, 1.70286767909083, 0.963287544217337, 1.66782294138278,      1.03184370064912), PROX_MRT = c(0.337555536848429, 0.375491068655226,      0.198072339225813, 0.357520644011877, 0.222008379422339,      0.54422435083218, 0.2084775132707, 0.229256973107587, 0.681065013996815,      0.681065013996815, 0.172867375742438, 0.530339592860526,      1.02650412956774, 1.12495588646837, 0.577154139562059, 0.735653331318593,      1.0665313702167, 0.551410176707671, 0.658832763416297, 0.712767869041386     ), PROX_PARK = c(0.83983547285748, 0.819174175884815, 0.925135888784,      0.731000545087102, 0.882483872449952, 0.593866981909781,      1.1446906726086, 1.00267286051928, 0.403276931712581, 0.403276931712581,      1.16233583500127, 0.763919329225246, 0.71485218383349, 0.823954351824118,      1.12092772213378, 0.463826523913091, 0.405128535389849, 0.974634241933185,      0.645156432286565, 0.94305137750942), PROX_GOOD_PRISCH = c(2.24487256678893,      2.26578798898653, 2.17137072991142, 1.96554365084008, 1.96272742295518,      1.8351788996921, 2.27101821651052, 1.87202126825599, 1.96779323327463,      1.96779323327463, 1.97663004084467, 1.57814209766337, 2.72778429145315,      2.99834463762659, 1.6842887316892, 2.52734391167264, 3.13265552080448,      1.48818847749708, 2.39271928635374, 1.76071721252525), PROX_MALL = c(1.33259876169033,      1.34118728457461, 1.25122768833936, 1.05956757611768, 1.0427530371351,      0.956400108312903, 1.35153556565047, 0.948424723316687, 1.12429495075828,      1.12429495075828, 1.05810160080284, 0.655287065425073, 0.949257633150117,      0.669111824361406, 0.813382909306435, 0.66282583229379, 0.541352629222412,      0.593340478429386, 1.14990641994387, 0.808064657998832),          PROX_CHAS = c(0.0582471476749484, 0.0806372798138111,          0.130123043615932, 2.17172157220984e-06, 0.15212794302602,          0.0648495538885981, 0.345234103044859, 0.231037598077535,          0.260044927245007, 0.260044927245007, 0.180657994610612,          0.358071114142678, 0.453083161817035, 0.38494516455544,          0.19044114280624, 0.528800676490504, 0.220588325506638,          0.203693673714882, 0.17469359838053, 0.253073540027742         ), PROX_SUPERMARKET = c(0.2065347950197, 0.189550835904173,          0.30366394922488, 0.237807435452358, 0.353624023725788,          0.329742543966106, 0.426625283183798, 0.231037826802092,          0.288903462518554, 0.288903462518554, 0.180658044884504,          0.384538867225359, 0.513065398645433, 0.384052647553184,          0.190441743522314, 0.528799775767506, 0.49532093691776,          0.349948262987797, 0.357404112790227, 0.263318229535236         ), WITHIN_350M_KINDERGARTEN = c(2L, 3L, 0L, 3L, 0L, 1L,          1L, 2L, 3L, 3L, 2L, 2L, 0L, 1L, 3L, 0L, 0L, 2L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 5L, 6L, 5L,          3L, 2L, 6L, 6L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 2L, 3L, 3L         ), WITHIN_350M_BUS = c(9L, 9L, 10L, 10L, 12L, 7L, 12L,          10L, 6L, 6L, 11L, 9L, 2L, 7L, 8L, 6L, 8L, 8L, 7L, 6L),          WITHIN_1KM_PRISCH = c(4L, 3L, 5L, 4L, 5L, 4L, 5L, 5L,          2L, 2L, 6L, 6L, 3L, 3L, 5L, 2L, 1L, 6L, 4L, 4L), DNeighbour = c(0,          35.774575062992, 140.455712287033, 277.532956584833,          311.633642860531, 452.256604407457, 454.091490643177,          471.235980274648, 480.109921763395, 480.117108163972,          501.796424477698, 690.412982193905, 736.768783069963,          828.132379916786, 888.497814520308, 893.88431786503,          894.243110756458, 910.913662467615, 947.35179191011,          1044.14496372806)), row.names = c("531", "219", "235",      "656", "955", "264", "970", "663", "415", "503", "564", "511",      "3", "686", "229", "695", "527", "541", "542", "225"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.997653598187774, 0.964137541168155, 0.863692824808085,      0.829780153442635, 0.659982947624279, 0.657506831510386,      0.634120386287507, 0.621847899661015, 0.621837917281179,      0.591425173508289, 0.316725541360918, 0.252105894466816,      0.13761167308569, 0.0761276327971533, 0.071345728886314,      0.0710317098180827, 0.057080650947445, 0.0312611864855736,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       596439471 
R squared (OOB):                  0.1989715 

$Forests[[532]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(290000, 488000, 465000,      385000, 678000, 620000, 560000, 451000, 538000, 418000, 409500,      660000, 515000, 520000, 545000, 440000, 580000, 705000, 708000,      450000), floor_area_sqm = c(87, 104, 91, 93, 92, 103, 105,      83, 90, 84, 84, 105, 84, 107, 101, 93, 90, 90, 90, 104),          storey_order = c(1L, 1L, 2L, 1L, 3L, 4L, 2L, 8L, 5L,          3L, 3L, 6L, 4L, 2L, 1L, 3L, 5L, 7L, 5L, 1L), remaining_lease_mths = c(643,          776, 764, 772, 1103, 742, 913, 604, 995, 804, 807, 748,          804, 892, 938, 759, 1035, 1041, 1031, 828), PROX_CBD = c(4.35364804731157,          4.16405648472164, 4.28329341592686, 4.25035751849909,          3.93031212371417, 3.79744534670369, 3.91005014077452,          3.63056019358172, 4.4759193492502, 4.20973993763024,          4.20973993763024, 3.5952466633456, 3.75781957676323,          4.23142849537126, 3.59494173601466, 5.4791067318598,          3.73787601157873, 3.66612298934168, 3.56091441303422,          5.12061996426338), PROX_ELDERLYCARE = c(0.402111762367986,          0.434539750657667, 0.4193003334471, 0.411587417191489,          0.159701117649001, 0.296175206272889, 0.449207181019876,          0.124703716495981, 0.136621520737764, 0.156291063754703,          0.156291063754703, 0.354500614782039, 0.582389211118023,          0.272010492111063, 0.692364880740494, 0.505585511375112,          0.836612932336762, 0.851600940224316, 0.885388735780595,          0.279354008399566), PROX_HAWKER = c(0.52502919100195,          0.502732414569621, 0.638679046714181, 0.610932712322496,          0.374782156946409, 0.300770398866256, 0.464701711390969,          0.0619655343942362, 0.736355433757935, 0.46881842734995,          0.46881842734995, 0.311385334077859, 0.393163811818296,          0.392124905911543, 0.142789347249218, 0.736115689949186,          0.15676751515481, 0.157376553669701, 0.210501859943959,          0.158729667464322), PROX_MRT = c(0.698417082344063, 0.518003091395578,          0.637237645879563, 0.605174310138743, 0.57487373386568,          0.195276091150508, 0.361698258812245, 0.188513622979597,          0.930431293452388, 0.750034220630686, 0.750034220630686,          0.16267041353008, 0.434583879195091, 0.870814763860364,          0.346622733589529, 0.797555156120123, 0.349678715281184,          0.281331556481731, 0.1853881461208, 1.12797954219589),          PROX_PARK = c(0.0959047492621704, 0.269719137898212,          0.336599362476296, 0.346786980248178, 0.43227753152338,          0.620239922284967, 0.651892034671684, 0.634729277660292,          0.786607284590569, 0.828179073128827, 0.828179073128827,          0.796125682214674, 0.885911587583127, 0.989030190878471,          1.03638785093261, 0.728040918615253, 1.14436990313984,          1.07330463343821, 0.969171323132551, 1.12857946410316         ), PROX_GOOD_PRISCH = c(4.11088283479722, 3.99853475328204,          3.85984302070176, 3.87277035706644, 4.55218800106713,          4.13618512399158, 3.96984616110429, 4.47678155678584,          3.43096694593549, 3.58178441884724, 3.58178441884724,          4.26949140427292, 3.98479480133756, 3.47561641519302,          4.68517728936996, 2.93310132502147, 4.42346384619917,          4.46068770698473, 4.51522724145722, 2.70116277997296),          PROX_MALL = c(0.801857467962545, 1.00998414702412, 0.92062293894618,          0.955673327573223, 1.09934779211931, 1.16769889708728,          1.2652175398851, 0.917363569028491, 1.02435160052226,          1.26743973989934, 1.26743973989934, 0.962766222186716,          1.1081035152608, 1.1888213641646, 0.814872047472938,          0.719613179783111, 1.03774509228272, 0.971442928620489,          0.87678025015548, 1.02774547618649), PROX_CHAS = c(0.130252709580884,          0.147909276913635, 0.285886541141976, 0.260827480873255,          0.304936065418075, 0.121619853002556, 0.108899254787234,          0.112941217538546, 0.105578702221058, 0.163154212627783,          0.163154212627783, 0.0963682910788478, 0.345906079563203,          0.106822211501606, 0.0573592222158038, 0.0706483510319072,          0.0809467071188201, 0.108213750221125, 0.0998361253719761,          0.193072984237221), PROX_SUPERMARKET = c(0.591301773724787,          0.506391752127701, 0.506434284786685, 0.512280309006142,          0.35411008396507, 0.191561540751545, 0.115229795891962,          0.0867224629960944, 0.0670716613901785, 0.118448079318654,          0.118448079318654, 0.269187390315468, 0.128350069204848,          0.139079920157556, 0.0573596645426592, 0.0706487501399716,          0.184584314799668, 0.131005301990959, 0.103744685928207,          0.198191070641627), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 1L,          0L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(4L, 6L,          4L, 5L, 3L, 4L, 4L, 5L, 2L, 3L, 3L, 4L, 4L, 6L, 3L, 2L,          3L, 3L, 3L, 4L), WITHIN_350M_BUS = c(6L, 5L, 5L, 5L,          5L, 5L, 5L, 4L, 5L, 7L, 7L, 6L, 3L, 7L, 4L, 3L, 7L, 7L,          9L, 9L), WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 3L, 1L, 2L,          2L, 2L, 3L, 3L, 3L, 2L, 2L, 2L, 0L, 2L, 0L, 0L, 0L, 3L         ), DNeighbour = c(0, 335.174661348883, 369.150060746612,          391.376353698174, 504.299598877835, 709.079597928407,          725.129685413018, 727.680145619158, 791.486200957406,          866.370630526531, 870.480007599498, 891.633240150347,          967.536006384727, 1032.08875256651, 1206.60931395253,          1309.97503757337, 1341.84693078663, 1363.05111741525,          1398.75624903519, 1420.50894971614)), row.names = c("532",      "223", "747", "19", "801", "952", "176", "237", "411", "907",      "382", "699", "234", "849", "997", "802", "823", "903", "881",      "646"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.891751113716584,      0.869494155903666, 0.853941609148996, 0.763815769211577,      0.563740279357997, 0.546739859156771, 0.544027668998169,      0.475472220299733, 0.394409223233063, 0.389978962305569,      0.367248830690507, 0.287378069601369, 0.222884745420985,      0.0775538639140236, 0.0223714664765338, 0.0115961423611241,      0.00628237379227536, 0.000923681683325487, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8182544279 
R squared (OOB):                  0.3631576 

$Forests[[533]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(545000, 680000, 650000,      838000, 760000, 638000, 815000, 680000, 630000, 445000, 480000,      315000, 515000, 446000, 450000, 310000, 550000, 582000, 330000,      470000), floor_area_sqm = c(86, 86, 86, 91, 91, 105, 91,      76, 101, 84, 94, 87, 110, 94, 104, 82, 105, 104, 82, 84),          storey_order = c(1L, 3L, 3L, 12L, 9L, 3L, 11L, 11L, 2L,          3L, 6L, 1L, 1L, 2L, 1L, 5L, 2L, 3L, 4L, 3L), remaining_lease_mths = c(1025,          1025, 1018, 1106, 1091, 918, 1109, 1071, 952, 647, 725,          633, 859, 723, 828, 656, 786, 935, 657, 813), PROX_CBD = c(5.19905620756448,          5.19905620756448, 5.26278746968545, 5.38577040159704,          5.4124717534787, 5.24252163748666, 5.46273996086224,          5.17664618337401, 5.76616775136128, 4.82546817648507,          4.50933618399607, 5.88382015009973, 5.31333197008925,          4.45295385586978, 5.12061996426338, 5.9699685911294,          6.4090346428634, 5.4901102241405, 6.06674643703895, 6.30150758144434         ), PROX_ELDERLYCARE = c(0.3148233892717, 0.3148233892717,          0.310343810032976, 0.343873602324804, 0.277453528347438,          0.232760622048558, 0.323825203617813, 0.203403853153192,          0.708186986363007, 0.401252043911139, 0.665866395733666,          0.599695566252105, 0.301885421229742, 0.645271528549996,          0.279354008399566, 4.28110190953706e-07, 0.336883008423279,          0.157919913507301, 0.10409496222889, 0.0580157957368266         ), PROX_HAWKER = c(0.424686940189847, 0.424686940189847,          0.356302899600742, 0.225377370173431, 0.214745652304629,          0.316098981667774, 0.17988889362956, 0.242990200436355,          0.25612232537118, 0.33634581375869, 0.665007751295857,          0.302293625820731, 0.15027253820603, 0.601904675681234,          0.158729667464322, 0.247906315943116, 0.729024203622067,          0.258924665495, 0.346985863757343, 0.511576723994062),          PROX_MRT = c(0.253583166891469, 0.253583166891469, 0.321982757522174,          0.452916639575337, 0.525678460826462, 0.353807427048722,          0.495510769155532, 0.347215067697513, 0.0934691468297738,          0.437510974512092, 0.549595780709265, 0.37771060533367,          0.839256513816073, 0.66128766903618, 1.12797954219589,          1.03854772657135, 0.631935879685516, 1.30755754576723,          1.1005845300218, 0.911216039334219), PROX_PARK = c(0.482110245392283,          0.482110245392283, 0.550000337404237, 0.680409922157526,          0.766524211973089, 0.540897442657821, 0.816564732509704,          0.502895249788983, 1.02675087524374, 0.386749503328341,          0.353281501558379, 1.09766236241216, 0.919693677764514,          0.473457593144303, 1.12857946410316, 0.792968228054446,          0.73120409495038, 0.803347187860442, 0.741200181243785,          0.950460734805334), PROX_GOOD_PRISCH = c(2.22494939608982,          2.22494939608982, 2.16237499594262, 2.04281306492033,          2.04167837943161, 2.20280244575696, 1.99475835919692,          2.27859573799937, 1.65694818911091, 2.65585299610189,          2.94429219434277, 1.61186682958131, 2.32631552336422,          3.02211493728223, 2.70116277997296, 1.89588922913119,          1.19038460547274, 2.45379201830723, 1.85819018299306,          1.50990256016426), PROX_MALL = c(0.31885342913617, 0.31885342913617,          0.38523327442887, 0.513452616263142, 0.636573036587929,          0.315823950773482, 0.68208602871978, 0.285366785950761,          0.834887080030876, 0.337875853585261, 0.485349818185599,          0.966526596905427, 0.752077094160308, 0.570379319619026,          1.02774547618649, 1.25835483053691, 0.56447134405004,          1.21674302842157, 1.22044581333525, 0.872189526609738         ), PROX_CHAS = c(0.211748617283041, 0.211748617283041,          0.188692357663819, 0.180097972613039, 0.208534953207918,          0.0731998871787336, 0.185272865297861, 0.0737889624358689,          0.143086854941205, 0.315432137833306, 0.331046161101227,          0.256579842259861, 0.111194343620761, 0.303272176186244,          0.193072984237221, 0.21461630683628, 0.141339892509329,          0.233242749827373, 0.252393584019624, 0.0940735950578242         ), PROX_SUPERMARKET = c(0.199301193911681, 0.199301193911681,          0.267150206458008, 0.397689630461078, 0.496000676868079,          0.266280670019211, 0.544212695479659, 0.177322353300672,          0.318319510093507, 0.0907256678718214, 0.325943517329761,          0.27867057765081, 0.370675298005651, 0.34627255092781,          0.198191070641627, 0.227231659318009, 0.360911693423373,          0.37596142908425, 0.321431524942613, 0.469210677159174         ), WITHIN_350M_KINDERGARTEN = c(4L, 4L, 4L, 4L, 1L, 3L,          1L, 1L, 2L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 5L, 7L, 4L, 5L,          4L, 7L, 1L, 2L, 1L, 4L, 3L, 1L, 4L, 2L, 5L, 3L, 2L, 4L         ), WITHIN_350M_BUS = c(9L, 9L, 9L, 8L, 7L, 10L, 8L, 9L,          8L, 8L, 5L, 8L, 12L, 6L, 9L, 8L, 9L, 10L, 6L, 7L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 4L, 3L, 4L, 4L, 2L, 0L, 4L, 3L, 1L, 3L,          4L, 3L, 3L, 5L, 4L), DNeighbour = c(0, 4.19327910774246,          69.5559983342061, 200.770775694904, 320.00925642359,          322.841829336061, 365.454444383232, 369.279844804527,          566.03906220666, 640.25026180222, 804.285607105471, 816.67610364349,          878.161368375507, 915.4189148961, 1237.74575615194, 1321.86223305157,          1335.9475482557, 1350.66249447166, 1419.62941622292,          1421.78806367209)), row.names = c("533", "181", "199",      "116", "436", "472", "75", "897", "430", "288", "622", "201",      "279", "346", "646", "920", "269", "307", "628", "417"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999982603338237, 0.995219102505261, 0.960517053528977,      0.901248613125106, 0.899539117624153, 0.872227387152288,      0.869632258228274, 0.708126051288523, 0.635556242035185,      0.462399110299318, 0.448985495786048, 0.382559216661382,      0.342759396053794, 0.0586282483485959, 0.0183938902108801,      0.0137135669951761, 0.00951567661647796, 9.20648984056668e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       14159138552 
R squared (OOB):                  0.4164612 

$Forests[[534]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(5e+05, 520000, 430000,      560000, 4e+05, 380000, 648000, 565000, 5e+05, 410000, 448000,      670000, 408000, 439000, 630000, 638000, 588000, 520000, 485000,      435000), floor_area_sqm = c(105, 89, 102, 104, 97, 91, 116,      103, 105, 97, 105, 94, 91, 97, 102, 102, 95, 108, 103, 98     ), storey_order = c(1L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 2L, 4L,      1L, 6L, 3L, 3L, 6L, 9L, 3L, 1L, 2L, 1L), remaining_lease_mths = c(837,      801, 869, 851, 681, 691, 871, 852, 857, 665, 866, 1104, 674,      669, 870, 869, 1025, 860, 855, 692), PROX_CBD = c(8.1677095895917,      8.52269583143835, 8.77938926255451, 7.6651195249001, 9.29171741525155,      9.09613481662016, 8.27332873959955, 8.19182633034048, 8.19182633034048,      8.66747718420982, 8.05276498978228, 8.58683984966127, 8.96374942103709,      8.73211086874077, 7.86314261154951, 7.86314261154951, 8.51090417959469,      7.50210394472385, 7.70120549943486, 8.85689554561162), PROX_ELDERLYCARE = c(1.20406929281345,      0.820777449495704, 0.374310234303432, 0.216787702409289,      0.121888026553089, 0.297153722290783, 0.354571010374291,      0.444818640633349, 0.444818640633349, 0.0441159965049124,      0.599632276485302, 0.203840329735754, 0.267188539522683,      0.292319821872094, 0.731462959428347, 0.731462959428347,      0.120425912751251, 0.808331791227546, 0.883817181840043,      0.272187629818594), PROX_HAWKER = c(1.05731826075231, 0.712401259368985,      0.0530841043788875, 0.778265933598076, 0.631142210027013,      0.276770006011078, 0.610975272844239, 0.553760551741158,      0.553760551741158, 0.357845486047337, 0.560005371648267,      0.433030813326955, 0.393731145214296, 0.436547444862961,      0.573870222021737, 0.573870222021737, 0.166697492306482,      0.932792437987216, 0.72907919143595, 0.446318851105742),          PROX_MRT = c(1.50309798042285, 1.68231360215177, 1.18818107396501,          0.910191895307983, 1.65516610461175, 1.2652859093471,          1.0936063211659, 1.08457427678223, 1.08457427678223,          0.874328108605637, 1.12051759514643, 0.751078096441513,          0.71987240697712, 0.600073719023998, 0.85984195598231,          0.85984195598231, 0.608243230971526, 0.506174946521629,          0.692418360175919, 0.372678744867538), PROX_PARK = c(0.277033303037393,          0.11043559696871, 0.700959888788064, 0.361681715476141,          0.199649911236163, 0.429900368262469, 0.477465658778908,          0.374102285306053, 0.374102285306053, 0.691303172853456,          0.30128672956265, 0.52118662053352, 0.60552725382935,          0.617507126900098, 0.281207712521794, 0.281207712521794,          0.368529270986479, 0.621272392201987, 0.450335295656325,          0.479885299937475), PROX_GOOD_PRISCH = c(0.400680757073332,          0.287100670168393, 0.963274696928036, 0.353240700451805,          0.365175047542414, 0.657187468393487, 0.856939381531897,          0.769163347741007, 0.769163347741007, 1.23754792076915,          0.631981624625733, 1.16640042723588, 1.13785719900195,          1.31940815963163, 0.562813849840511, 0.562813849840511,          1.13331232297991, 0.343243332218702, 0.490611064856358,          1.47413984574199), PROX_MALL = c(0.459466565518009, 1.03817238314954,          0.946404029132472, 0.987031177772312, 1.26787190539693,          0.916512124719577, 0.991200103712322, 0.997182626507123,          0.997182626507123, 0.740457696387364, 1.07178760783233,          0.632538285087724, 0.480317195978648, 0.469553394647833,          0.943364056194349, 0.943364056194349, 0.540250505232014,          0.584674138925751, 0.779066462317335, 0.241772845363545         ), PROX_CHAS = c(0.622343110317744, 0.0550867573210672,          0.064920565519497, 0.371562543403755, 0.143872847977416,          0.209184408253321, 0.413431749899638, 0.311461966699573,          0.311461966699573, 0.34300149800099, 0.167974733321899,          0.237191200694799, 0.143131544605207, 0.0664211666443358,          0.201852081003395, 0.201852081003395, 0.0869956868442428,          0.169910439255117, 0.0405139203460024, 0.157458356405151         ), PROX_SUPERMARKET = c(0.435289148003299, 0.153408018077838,          0.239175324970861, 0.176585087131714, 0.371928496535936,          0.235755012868274, 0.502190497784501, 0.485938543293979,          0.485938543293979, 0.158725757407685, 0.372458117254617,          0.35437102597818, 0.181164390242962, 0.350370254212894,          0.115543350477338, 0.115543350477338, 0.0869967242830128,          0.26407208892283, 0.0588346413192393, 0.224853982916395         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 0L, 1L, 1L,          0L, 0L, 0L, 0L, 3L, 1L, 1L, 1L, 4L, 4L, 2L, 2L, 4L, 2L         ), WITHIN_350M_CHILDCARE = c(1L, 3L, 2L, 1L, 3L, 3L,          4L, 2L, 2L, 2L, 3L, 5L, 4L, 6L, 3L, 3L, 6L, 3L, 4L, 7L         ), WITHIN_350M_BUS = c(7L, 6L, 4L, 5L, 9L, 7L, 8L, 7L,          7L, 5L, 5L, 4L, 6L, 7L, 2L, 2L, 5L, 4L, 4L, 7L), WITHIN_1KM_PRISCH = c(1L,          2L, 2L, 0L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 2L,          2L, 3L, 1L, 2L, 3L), DNeighbour = c(0, 667.600661102221,          1366.41569695035, 1382.78533109923, 1391.84579034331,          1483.80656512008, 1512.78434809639, 1583.00631178073,          1588.22074533129, 1636.76010415934, 1656.47639454032,          1782.69887420441, 1845.64690439531, 1913.53166100013,          1961.13893376372, 1966.08759814675, 1999.55513195239,          2002.66494177698, 2030.49990482491, 2141.60634849533)), row.names = c("534",      "588", "606", "935", "122", "715", "795", "128", "674", "331",      "635", "149", "692", "842", "476", "931", "94", "460", "811",      "397"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.815093111660072,      0.351546759374108, 0.340007466897494, 0.333645309914057,      0.270360863355457, 0.2510306938575, 0.205781139488865, 0.202523082615909,      0.172968823081165, 0.16139364963492, 0.0943044050897165,      0.0661993104197085, 0.0406636981678812, 0.0260608226663945,      0.0247106750676787, 0.0164503697507485, 0.0157616309792354,      0.0102148179703945, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5373732858 
R squared (OOB):                  0.3551882 

$Forests[[535]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 4e+05, 385000,      455000, 465000, 365000, 430000, 4e+05, 390000, 418000, 371000,      330000, 338000, 410000, 425000, 435000, 410000, 420000, 330000,      345000), floor_area_sqm = c(93, 90, 90, 106, 106, 91, 91,      91, 90, 112, 91, 105, 103, 93, 93, 92, 92, 92, 104, 95),          storey_order = c(4L, 3L, 3L, 4L, 2L, 4L, 4L, 2L, 2L,          5L, 2L, 1L, 4L, 4L, 4L, 4L, 3L, 5L, 3L, 3L), remaining_lease_mths = c(950,          953, 1060, 933, 933, 1061, 962, 956, 947, 904, 957, 896,          836, 1117, 1126, 1129, 1131, 1134, 847, 1003), PROX_CBD = c(17.4336546583772,          17.5759295796121, 17.6242343596777, 17.1634204962367,          17.1401277939721, 17.5974072281911, 17.4594236905894,          17.5146993337396, 17.5579663674298, 17.2048826778539,          17.630719557776, 17.9794873864528, 18.1853470145009,          17.3263676504413, 17.3263676504413, 17.2397585888566,          17.2397585888566, 17.2397585888566, 18.238428451998,          17.7047470513727), PROX_ELDERLYCARE = c(0.825709875044437,          1.07156662032258, 0.892136309268664, 0.565792923614884,          0.586863575497558, 0.819477307137174, 1.1429422216578,          1.21552371031002, 1.26304449634962, 0.400468425457175,          1.35614304544574, 1.20397588034421, 1.46334015610348,          0.561119780492452, 0.561119780492452, 0.500148198332671,          0.500148198332671, 0.500148198332671, 1.49823830734066,          0.933045885854195), PROX_HAWKER = c(0.841716009165303,          0.622851592932912, 0.816419857336687, 0.666841975849823,          0.685044657792881, 0.922900854400271, 0.704564458032275,          0.65109908849923, 0.610726758846462, 0.498365875295267,          0.550798352023498, 0.736691454978467, 0.490406092071559,          0.631285601786086, 0.631285601786086, 0.55990768529081,          0.55990768529081, 0.55990768529081, 0.548143788898404,          1.00938993481846), PROX_MRT = c(0.463093751675267, 0.449846795062068,          0.729175757939742, 0.463116738810145, 0.418422993771755,          0.830609903675807, 0.304209523777939, 0.367017506823782,          0.415424130147435, 0.87869292375624, 0.481509556817778,          1.05284557964442, 0.888080533877704, 1.13344401626098,          1.13344401626098, 1.16124452414741, 1.16124452414741,          1.16124452414741, 0.950317003394984, 1.29287496569192         ), PROX_PARK = c(0.609424449579261, 0.650211227804106,          0.830497330619545, 0.505224516024672, 0.454841043819919,          0.751240825934154, 0.515475588097358, 0.57589083993138,          0.622915525490857, 0.9054780070858, 0.706852169587072,          0.555889077383573, 0.741201414908801, 0.872985599051717,          0.872985599051717, 0.959994438388966, 0.959994438388966,          0.959994438388966, 0.690805332809177, 0.495314460898113         ), PROX_GOOD_PRISCH = c(6.77374769998522, 6.90999703096039,          6.97273607492461, 6.50789265243056, 6.48254224033906,          6.95474206477502, 6.79149624878531, 6.84682201594428,          6.89020500321914, 6.57740517739392, 6.96345421686322,          7.33264137396139, 7.52724739525134, 6.72174636420399,          6.72174636420399, 6.64012383316355, 6.64012383316355,          6.64012383316355, 7.58243576478886, 7.10206992983331),          PROX_MALL = c(0.404491618549369, 0.456006423255308, 0.671391539314818,          0.353588302636786, 0.306862579253759, 0.757845794253982,          0.366883459562171, 0.437698049352173, 0.488271313828636,          0.446026044391999, 0.581015113036356, 0.387548928263219,          0.362005799982455, 0.530342726071102, 0.530342726071102,          0.450738515511335, 0.450738515511335, 0.450738515511335,          0.291730094824992, 0.790613232916467), PROX_CHAS = c(0.260153188296123,          0.401255348981324, 0.0497500971788425, 0.171584438209325,          0.133156315003352, 0.175468897673469, 0.293637386768921,          0.354009255575758, 0.40162373925963, 0.130380344727655,          0.481496129777697, 0.324283073315245, 0.11010335009361,          0.254413742194056, 0.254413742194056, 0.221318263528924,          0.221318263528924, 0.221318263528924, 0.0811018368302058,          0.40646651865696), PROX_SUPERMARKET = c(0.355873580059747,          0.338457664260807, 0.442456788826315, 0.320581809168482,          0.27639551573194, 0.336744227428862, 0.217741105325511,          0.288534867112482, 0.339170507836652, 0.445962312606475,          0.432325009404537, 0.337417678694655, 0.36017462873485,          0.529573977763673, 0.529573977763673, 0.449846933875903,          0.449846933875903, 0.449846933875903, 0.289827711639516,          0.260900811674997), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 2L, 2L, 7L, 2L, 2L,          2L, 2L, 2L, 4L, 0L), WITHIN_350M_CHILDCARE = c(4L, 5L,          2L, 4L, 3L, 3L, 6L, 6L, 6L, 2L, 6L, 3L, 4L, 3L, 3L, 4L,          4L, 4L, 3L, 2L), WITHIN_350M_BUS = c(12L, 8L, 12L, 8L,          7L, 6L, 8L, 10L, 9L, 8L, 8L, 9L, 11L, 5L, 5L, 6L, 6L,          6L, 10L, 6L), WITHIN_1KM_PRISCH = c(6L, 4L, 4L, 4L, 4L,          4L, 4L, 4L, 4L, 3L, 4L, 5L, 5L, 3L, 3L, 3L, 3L, 3L, 4L,          3L), DNeighbour = c(0, 257.498549450217, 270.551788641672,          288.395434315815, 292.332722874812, 372.020692747765,          404.962658497181, 460.854278067153, 501.563919704742,          555.470850350876, 585.560373636415, 614.076874552147,          756.572523773491, 759.149879626274, 761.522555728922,          815.957500666466, 818.024662739936, 821.476666760615,          821.655985090679, 846.197639947266)), row.names = c("535",      "357", "300", "991", "530", "720", "937", "93", "545", "889",      "547", "870", "857", "797", "925", "290", "86", "280", "839",      "631"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.82337670726845,      0.80599991674778, 0.781184237928767, 0.775549833572576, 0.650794531884419,      0.594399648146903, 0.494759568982943, 0.420779359513466,      0.323872062508682, 0.27159703839605, 0.224083438686086, 0.0402452586382596,      0.0380860634603839, 0.0361447287651102, 0.0049274638800722,      0.00428746832381877, 0.00331486895004841, 0.00326765588989267,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1388479729 
R squared (OOB):                  0.1868924 

$Forests[[536]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(662000, 715000, 675000,      680000, 710000, 550000, 672000, 660000, 440000, 340000, 4e+05,      363000, 358000, 345000, 575000, 430000, 390000, 370000, 355000,      430000), floor_area_sqm = c(95, 95, 95, 95, 93, 102, 85,      85, 91, 84, 104, 84, 84, 84, 101, 104, 84, 84, 84, 92), storey_order = c(3L,      6L, 2L, 4L, 6L, 3L, 5L, 3L, 5L, 1L, 2L, 4L, 3L, 1L, 6L, 2L,      1L, 3L, 3L, 2L), remaining_lease_mths = c(1093, 1099, 1093,      1084, 1084, 761, 1042, 1032, 669, 780, 783, 780, 770, 789,      932, 781, 783, 777, 782, 687), PROX_CBD = c(6.11286474740545,      6.06656257116635, 6.15852201326599, 6.04001281876484, 6.17931132662417,      6.04257091454572, 6.58265946872266, 6.62545736407856, 6.95185067667089,      6.73119135364588, 6.8579883001408, 6.82164733234375, 6.82164733234375,      7.23308787648785, 5.56255806753875, 7.27303659463988, 4.91139217141794,      7.32999369210923, 7.37752466520609, 5.17330173892321), PROX_ELDERLYCARE = c(0.471592353212743,      0.516985202466339, 0.428116600598184, 0.545921172841312,      0.411122241220865, 0.548656319889636, 0.129826558983194,      0.121758896932011, 0.368543492371998, 0.709869492714774,      0.650979480304367, 0.729511559050305, 0.729511559050305,      0.804640181087392, 0.0599829320550621, 0.949520652768775,      0.53976690699019, 1.04617467786566, 1.11141904944431, 0.151830290872251     ), PROX_HAWKER = c(0.0855319563513606, 0.0900485470251793,      0.104458461300263, 0.0606577495598573, 0.114709112077857,      0.19523132016882, 0.37361464573735, 0.33268573973532, 0.163396016993116,      0.84617550022745, 0.732876252375814, 0.834207881424508, 0.834207881424508,      0.727393295990439, 0.248163252655802, 0.905159668549179,      0.526793317066312, 1.00458194418859, 1.06790139631185, 0.261285820740611     ), PROX_MRT = c(0.576684647572531, 0.530436532640755, 0.567634817298681,      0.53617676606472, 0.54480998513683, 0.448203274012385, 0.288098631383321,      0.255638745600017, 0.258776848421036, 0.447149108468339,      0.479854345281657, 0.401668294921849, 0.401668294921849,      0.626719191507479, 0.389634730949481, 0.477339162120678,      0.348715950460643, 0.446590670593176, 0.450606800129455,      0.568944969773001), PROX_PARK = c(0.517760851715104, 0.548254609843109,      0.487498062645995, 0.524571131123829, 0.461766774013401,      0.651264615899835, 0.734858817801552, 0.741691321664553,      0.871860056746433, 1.30601230217613, 1.26891760289394, 1.33915084667526,      1.33915084667526, 1.17683143601381, 0.136342453682232, 1.28136359713013,      0.454973393404149, 1.30043300411079, 1.30417314517193, 0.375618223612072     ), PROX_GOOD_PRISCH = c(2.00772186702724, 2.03651743937875,      1.97696478280336, 2.00925132829891, 1.95037752635058, 2.14268529299874,      2.10026546945211, 2.08436883673306, 1.99104033276262, 2.67147237000904,      2.57894825178105, 2.67483404440455, 2.67483404440455, 2.53413597667736,      3.30515733544794, 2.72285479219865, 3.07957394860643, 2.81856751915823,      2.87682745937193, 3.5160560831601), PROX_MALL = c(0.403935094648282,      0.365617038961166, 0.446404896609829, 0.387042201482337,      0.476611693189829, 0.264532440460292, 0.712222885156031,      0.757747380414752, 1.10491400246256, 0.894914409230097, 0.985446043286547,      0.977306285381771, 0.977306285381771, 1.33824767405872, 0.719385659919303,      1.40144317349524, 0.779372162435287, 1.4733570331857, 1.52964479685301,      0.96360119165526), PROX_CHAS = c(0.0679258481743644, 0.0929349198733403,      0.0766942583569258, 0.134421273847083, 0.10259225576309,      0.12619956254809, 0.19769969897302, 0.152169077912936, 0.197049444171332,      0.468632365618207, 0.418063314797021, 0.389404577789016,      0.389404577789016, 0.335243362149438, 0.174009235365936,      0.150676124399865, 0.297280152993809, 0.100781853121145,      0.123680988169118, 0.213267381067323), PROX_SUPERMARKET = c(0.0895469396191502,      0.0785030623714358, 0.11965836137487, 0.0393286469640316,      0.134806953278168, 0.178930757423705, 0.255985378039003,      0.21094349839638, 0.145490551360364, 0.541263540151477, 0.471666412940503,      0.457775852816324, 0.457775852816324, 0.400791637001426,      0.173881454941229, 0.216512452964216, 0.212061147632098,      0.154588063793208, 0.15284622075069, 0.266791583668656),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 0L,          0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 4L, 3L, 4L,          0L, 0L, 3L, 2L, 1L, 1L, 1L, 2L, 4L, 4L, 2L, 4L, 5L, 4L         ), WITHIN_350M_BUS = c(6L, 8L, 6L, 8L, 6L, 7L, 2L, 2L,          4L, 4L, 3L, 4L, 4L, 4L, 2L, 7L, 7L, 8L, 9L, 4L), WITHIN_1KM_PRISCH = c(1L,          1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L,          3L, 2L, 3L, 3L, 3L), DNeighbour = c(0, 39.1540861919138,          55.6594933719041, 69.635611889094, 85.2410595407494,          137.629754793169, 502.461361072498, 533.537900737369,          845.412610021331, 939.182964990638, 960.482810880115,          1002.33073618327, 1002.57650442401, 1226.51187590463,          1324.74163941876, 1337.21325034371, 1361.1651058182,          1432.08106260888, 1496.96072908922, 1597.83236023922)), row.names = c("536",      "297", "23", "930", "756", "453", "388", "841", "492", "529",      "168", "322", "46", "171", "596", "611", "251", "187", "948",      "270"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99879941933304,      0.997574604905754, 0.996204947985203, 0.994316095038472,      0.985216469240815, 0.812003114583363, 0.789435325398234,      0.518477065461799, 0.428380729546487, 0.40788582111121, 0.367825836037513,      0.367591769342229, 0.168736183875876, 0.0977282383369526,      0.0897671368632539, 0.0752385958054204, 0.0386945198833976,      0.0149512145670149, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4961494477 
R squared (OOB):                  0.7667582 

$Forests[[537]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(470000, 485000, 465000,      450000, 452000, 403000, 450000, 460000, 455000, 437000, 435000,      475000, 545000, 455000, 460000, 450000, 465000, 412000, 420000,      490888), floor_area_sqm = c(93, 95, 95, 95, 95, 90, 94, 92,      92, 94, 94, 92, 93, 93, 92, 90, 90, 90, 93, 93), storey_order = c(5L,      6L, 4L, 3L, 3L, 3L, 4L, 3L, 5L, 3L, 2L, 5L, 3L, 4L, 3L, 2L,      5L, 3L, 1L, 5L), remaining_lease_mths = c(1125, 1113, 1110,      1126, 1121, 1053, 1123, 1097, 1108, 1120, 1113, 1098, 1134,      1096, 1107, 1134, 1132, 1034, 1101, 1141), PROX_CBD = c(14.2374266118925,      14.2445424628862, 14.3101587663686, 14.1366846915735, 14.2856092918761,      14.2313196249897, 14.0429369190019, 14.2694643570804, 14.2694643570804,      14.0691382395842, 14.0214886887106, 14.3437499696049, 14.4432157047801,      14.3469943525049, 14.2518409016409, 14.6796515041342, 14.6796515041342,      13.9701294998534, 14.3298082323417, 14.4799585140632), PROX_ELDERLYCARE = c(1.2819446304668,      1.24643506877499, 1.29024298571696, 1.17371591683522, 1.29536834443332,      1.23431696680562, 1.1015647640471, 1.14423906696184, 1.14423906696184,      1.08280856328681, 1.04333655871926, 1.14464302293932, 1.44181352445962,      1.07571195137499, 0.985840321219444, 1.45102259724198, 1.45102259724198,      0.798789790509628, 0.943112693551276, 1.06862824267944),          PROX_HAWKER = c(1.02089221118434, 0.968852406622053,          0.961388959141492, 1.09084844555913, 1.14967766552968,          1.20453145676494, 1.07710025413616, 0.826638245470088,          0.826638245470088, 1.21079813450924, 1.2014358291776,          0.74882220835846, 1.1926703176924, 0.654543769257927,          0.656651462258042, 0.836784965651702, 0.836784965651702,          0.796241674024292, 0.494981643036057, 0.462243392197612         ), PROX_MRT = c(0.148741201515391, 0.184117552261459,          0.148967878322013, 0.218319465176875, 0.0748886383392391,          0.14509881944895, 0.324573358240557, 0.30438768875815,          0.30438768875815, 0.281224364060027, 0.325652198483679,          0.217663394995295, 0.142722405117506, 0.131478587775223,          0.189142279194464, 0.391052893274669, 0.391052893274669,          0.262922949537813, 0.122691316210064, 0.082651796212049         ), PROX_PARK = c(0.440474428767772, 0.481320095248247,          0.444639968372477, 0.474063272255088, 0.297003339879563,          0.30799989212087, 0.58019258504408, 0.599699049952129,          0.599699049952129, 0.468913262301943, 0.524931496780237,          0.636899975343007, 0.164631246691225, 0.731552922713316,          0.785709089572823, 0.566439778554251, 0.566439778554251,          0.929619749314005, 0.760551135167525, 0.682350458092963         ), PROX_GOOD_PRISCH = c(5.16870486361587, 5.1542412945362,          5.21803047984022, 5.09375212835948, 5.27158847877433,          5.24106386657147, 4.9857651679507, 5.12184985907385,          5.12184985907385, 5.07622831499557, 5.02043421457898,          5.1680916684458, 5.44062149940817, 5.13548460888622,          5.03443000866885, 5.51577006817018, 5.51577006817018,          4.76155598853922, 5.05687720866847, 5.20136656590841),          PROX_MALL = c(0.22058685557285, 0.248497232357685, 0.199960318099191,          0.295276560881227, 0.136646142991964, 0.200492724858517,          0.401409437181884, 0.351657486288216, 0.351657486288216,          0.352184781664103, 0.399157770965225, 0.38589862433106,          0.0864828813466827, 0.480981762762808, 0.535261743386166,          0.38618207223371, 0.38618207223371, 0.698652085628877,          0.644100917109673, 0.64848155368644), PROX_CHAS = c(0.177995101264401,          0.185564313785613, 0.199960275799137, 0.0995517477546361,          0.136646133179357, 0.200492722653611, 0.0207330025336023,          0.120456720485379, 0.120456720485379, 0.167321001424632,          0.142774662207743, 0.0401042229543167, 0.0864829242311455,          0.0578525184286013, 0.121511881264649, 0.367772140885018,          0.367772140885018, 0.224338502615803, 0.116678641770301,          0.149921511006425), PROX_SUPERMARKET = c(0.177995229543633,          0.185564776027004, 0.199173279096103, 0.0995512052866983,          0.146294584623949, 0.210915135620544, 0.0207321820187816,          0.244158473149448, 0.244158473149448, 0.167319845962294,          0.142773459146917, 0.165776473264822, 0.0916346746399726,          0.0704323341151683, 0.121511691834874, 0.0442147517112349,          0.0442147517112349, 0.281017798180362, 0.116679779166118,          0.149922203205158), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 2L,          1L, 1L, 2L, 2L, 1L), WITHIN_350M_CHILDCARE = c(8L, 9L,          8L, 8L, 6L, 6L, 6L, 10L, 10L, 8L, 6L, 8L, 4L, 7L, 10L,          4L, 4L, 7L, 7L, 6L), WITHIN_350M_BUS = c(6L, 7L, 6L,          8L, 8L, 6L, 9L, 9L, 9L, 9L, 9L, 8L, 5L, 8L, 9L, 4L, 4L,          13L, 9L, 6L), WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 7L, 7L,          6L, 7L, 6L, 6L, 7L, 7L, 5L, 5L, 4L, 6L, 4L, 4L, 8L, 5L,          4L), DNeighbour = c(0, 53.6281646039008, 83.2865477132469,          102.823734444031, 146.161264598297, 187.63803997626,          195.125767882445, 198.369322680882, 202.113390755462,          221.879236450328, 244.093080260117, 276.611931012576,          288.81949841189, 374.471929331131, 387.260562017625,          468.904114021776, 472.340631940716, 487.9674860039, 536.520407088428,          576.599709910366)), row.names = c("537", "349", "142",      "76", "32", "283", "754", "434", "470", "57", "878", "70",      "240", "488", "73", "405", "996", "301", "688", "979"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.982773996312747, 0.958706995274951, 0.937409710559119,      0.875616263707483, 0.799416128456107, 0.784075263829791,      0.777291384083734, 0.769359280838093, 0.72577461099049, 0.673696321100418,      0.592683710522206, 0.561147764673083, 0.334334196126948,      0.301308454883919, 0.114696313722056, 0.108201095670881,      0.0805437366231463, 0.0180063920559082, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       967603668 
R squared (OOB):                  -0.03936998 

$Forests[[538]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(416000, 433000, 395000,      365000, 415000, 420000, 4e+05, 428000, 258000, 418000, 367000,      412000, 315000, 4e+05, 4e+05, 288000, 420000, 370000, 285000,      310000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      84, 92, 92, 92, 84, 92, 92, 84, 92, 92, 84, 84), storey_order = c(4L,      4L, 2L, 1L, 5L, 5L, 2L, 4L, 1L, 5L, 1L, 5L, 3L, 2L, 3L, 1L,      3L, 1L, 3L, 2L), remaining_lease_mths = c(1140, 1130, 1146,      1137, 1144, 1143, 1130, 1140, 781, 1138, 1137, 1144, 804,      1137, 1143, 770, 1144, 1146, 776, 811), PROX_CBD = c(16.055983361932,      16.055983361932, 16.0046521285213, 16.0046521285213, 15.9533618390172,      16.1537572283104, 16.1976566517324, 16.1831859860721, 16.1631400386504,      16.0903666266177, 16.0903666266177, 16.0903666266177, 15.9050437012323,      16.0475930141239, 16.0475930141239, 16.2681803933938, 15.9392575628934,      15.87024444961, 16.2311391435218, 15.7493840144196), PROX_ELDERLYCARE = c(0.146417557277997,      0.146417557277997, 0.20718686492254, 0.20718686492254, 0.251148223850536,      0.0462823216560119, 9.89208662673193e-07, 0.0701319802482612,      0.194171564025932, 0.179967723198436, 0.179967723198436,      0.179967723198436, 0.346730428331521, 0.129564145964732,      0.129564145964732, 0.20801878428071, 0.0436662178849567,      0.10693627682917, 0.252142982647588, 0.392042381698264),          PROX_HAWKER = c(0.897672222950446, 0.897672222950446,          0.855932206484513, 0.855932206484513, 0.802087399746937,          0.986028325459381, 1.03146250928298, 1.00994702859189,          1.03995728027003, 0.9143232220583, 0.9143232220583, 0.9143232220583,          0.79668564149145, 0.872301448799324, 0.872301448799324,          1.14155805943316, 0.765854363537175, 0.694651515851724,          1.12300848995143, 0.617009737136425), PROX_MRT = c(0.936151237003446,          0.936151237003446, 0.883219311345816, 0.883219311345816,          0.8851452059773, 1.02112351286352, 1.02706758196582,          1.08237519657155, 0.842728374229233, 1.13213387762555,          1.13213387762555, 1.13213387762555, 0.750476153315833,          1.14436247830993, 1.14436247830993, 0.896888955057001,          1.14464062157712, 1.09555222562317, 0.830985280221221,          0.825478596695925), PROX_PARK = c(0.683762717294504,          0.683762717294504, 0.619767633008914, 0.619767633008914,          0.589052524814441, 0.793519520304926, 0.822565203699192,          0.848434833813522, 0.707513815343702, 0.83568858459355,          0.83568858459355, 0.83568858459355, 0.475878847958935,          0.824988291997923, 0.824988291997923, 0.750067315759091,          0.777956069134633, 0.707790886000148, 0.723677668737743,          0.423881452963658), PROX_GOOD_PRISCH = c(6.63421015362065,          6.63421015362065, 6.57618460349959, 6.57618460349959,          6.52939634907869, 6.74044920052795, 6.78043949525415,          6.78038310261662, 6.70927938580052, 6.70919168347838,          6.70919168347838, 6.70919168347838, 6.45664561130608,          6.67335529701902, 6.67335529701902, 6.81173689796023,          6.57394481891556, 6.49806658702102, 6.76533990958697,          6.32317863359129), PROX_MALL = c(0.118546137622893, 0.118546137622893,          0.110811660449771, 0.110811660449771, 0.161178852361569,          0.180580587241737, 0.189710317758296, 0.241735562355662,          0.0870960802892481, 0.311149009276151, 0.311149009276151,          0.311149009276151, 0.18299798168314, 0.339403259296736,          0.339403259296736, 0.188162247463955, 0.391567182053879,          0.388975340293238, 0.175221521556568, 0.340817581482914         ), PROX_CHAS = c(0.110329053122027, 0.110329053122027,          0.114687044901222, 0.114687044901222, 0.165813590617473,          0.0922372285822684, 0.0868060808909073, 0.148113838308576,          0.081875317774622, 0.215238065300109, 0.215238065300109,          0.215238065300109, 0.190026772642962, 0.16574506375663,          0.16574506375663, 0.160774225575301, 0.0895372628546906,          0.140210421841136, 0.170601730776313, 0.347229964463676         ), PROX_SUPERMARKET = c(0.123371553336512, 0.123371553336512,          0.112847248683738, 0.112847248683738, 0.162291812321236,          0.186806037215644, 0.195853508350489, 0.247969406526707,          0.0873208554119548, 0.316789996913415, 0.316789996913415,          0.316789996913415, 0.179336240856332, 0.344658205065017,          0.344658205065017, 0.189660657064324, 0.354688671920554,          0.287679129281494, 0.137275095711229, 2.98731019421495e-07         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 8L,          8L, 7L, 6L, 2L, 2L, 2L, 4L, 2L, 2L, 6L, 3L, 4L, 5L, 5L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 7L, 8L, 7L, 7L, 7L,          11L, 8L, 8L, 8L, 8L, 9L, 9L, 11L, 9L, 8L, 10L, 7L), WITHIN_1KM_PRISCH = c(5L,          5L, 5L, 5L, 5L, 4L, 5L, 4L, 5L, 4L, 4L, 4L, 6L, 4L, 4L,          5L, 4L, 4L, 5L, 6L), DNeighbour = c(0, 4.7284368266095,          66.0369124764609, 68.2847694839027, 101.375674194, 106.875502877307,          151.23438325394, 161.930481442532, 188.094861312602,          196.032778507606, 200.676586435172, 200.760793880117,          209.207909877417, 221.12610936889, 221.809722800299,          263.746737270336, 270.716400204418, 276.375770463041,          277.837837710748, 305.748833323862)), row.names = c("538",      "741", "408", "594", "124", "869", "427", "661", "872", "249",      "161", "919", "59", "440", "28", "798", "517", "582", "945",      "956"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999521718455829,      0.90887780883007, 0.902729840369931, 0.792214842131181, 0.770554811689056,      0.57053128961253, 0.517685146558955, 0.386307357123623, 0.34682517645786,      0.324002079935182, 0.323590546991698, 0.282816772740971,      0.227473000967528, 0.224393789793922, 0.065473173923114,      0.0466689048267541, 0.0334557789498059, 0.030360026840333,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1223741978 
R squared (OOB):                  0.5874374 

$Forests[[539]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 676000, 663000,      655000, 4e+05, 655000, 640000, 4e+05, 350888, 385000, 340000,      398000, 390000, 380000, 418000, 4e+05, 418000, 360000, 350000,      465000), floor_area_sqm = c(93, 87, 87, 87, 98, 87, 87, 104,      93, 91, 92, 92, 92, 92, 92, 92, 91, 83, 91, 104), storey_order = c(3L,      3L, 4L, 5L, 4L, 1L, 4L, 2L, 3L, 1L, 1L, 3L, 1L, 4L, 4L, 4L,      5L, 3L, 4L, 3L), remaining_lease_mths = c(724, 1120, 1124,      1121, 718, 1123, 1121, 751, 712, 715, 699, 714, 711, 695,      691, 690, 774, 803, 741, 760), PROX_CBD = c(9.50206510185676,      9.49727834386093, 9.49727834386093, 9.49727834386093, 9.5915755681771,      9.39818328429371, 9.42381765287156, 9.83498872427818, 9.68679892421183,      8.8262745849674, 9.97016469840266, 9.95525560808738, 9.71066487891121,      9.61422948612377, 9.61422948612377, 9.59976569988281, 9.35032791665702,      8.52567265657093, 8.70456515841861, 8.64488888098128), PROX_ELDERLYCARE = c(0.619429799229152,      0.735218745429302, 0.735218745429302, 0.735218745429302,      0.558000418748021, 0.718190414835305, 0.750155484045513,      0.611336059876525, 0.35495808488012, 0.896855030989675, 0.14040561650552,      0.150508443509651, 0.385358274245319, 0.28812103687201, 0.28812103687201,      0.239547661796275, 0.227789996497476, 1.23693676843424, 0.1203423949077,      0.17844978767297), PROX_HAWKER = c(0.518318645141504, 0.639074974233661,      0.639074974233661, 0.639074974233661, 0.434568479089541,      0.640059738279374, 0.667492197519696, 0.54583502916026, 0.221606053969191,      0.311054993693233, 0.15909114400288, 0.153089379504462, 0.39402887106119,      0.398658919868918, 0.398658919868918, 0.436761476721694,      0.508896406641727, 0.0724679807682574, 0.867862446497739,      0.917919654697093), PROX_MRT = c(0.533910829474844, 0.499971219475903,      0.499971219475903, 0.499971219475903, 0.656590823238566,      0.401734036242065, 0.423547456258288, 0.722241727367494,      0.760373725070279, 0.17731989795878, 0.494111782173202, 0.521845664201362,      0.746020760246364, 0.667432439829923, 0.667432439829923,      0.619962862184004, 0.569946398217962, 0.510058766918036,      0.97670571404933, 0.91698472228942), PROX_PARK = c(0.26219477257436,      0.298527066745392, 0.298527066745392, 0.298527066745392,      0.355705093322714, 0.220484561261844, 0.258916726718906,      0.296755194228525, 0.664893225436512, 0.458605630557841,      0.68588072489708, 0.730503149795042, 0.914740437498633, 0.922231693079911,      0.922231693079911, 0.957886982704992, 0.726258134328713,      0.557643312318536, 0.288616932786395, 0.238119977580318),          PROX_GOOD_PRISCH = c(2.18628235132699, 2.17599822879711,          2.17599822879711, 2.17599822879711, 2.11809049366399,          2.27458198186913, 2.24680049319454, 1.88657748145099,          2.17803171840573, 2.8424495793979, 1.97396491196204,          2.01039924795066, 2.31351362539819, 2.38715383730665,          2.38715383730665, 2.35345437748376, 2.41566392235711,          3.13534109620979, 2.418607930925, 2.37381492496372),          PROX_MALL = c(1.32833110917602, 1.45007786498113, 1.45007786498113,          1.45007786498113, 1.22478662403239, 1.45650167595406,          1.48330987402926, 1.23747152538927, 0.796976758090547,          1.64561868645684, 0.802483711672914, 0.757457219803541,          0.505770857705003, 0.43353114329251, 0.43353114329251,          0.387669919047214, 0.406203001531397, 1.96281231550532,          0.948870628363287, 1.00281364182829), PROX_CHAS = c(0.219477506246216,          0.101351467161616, 0.101351467161616, 0.101351467161616,          0.346218272658546, 0.109789289200213, 0.0719365450960561,          0.352730820744124, 0.0707228333244178, 0.221229860630612,          0.187394625423847, 0.144412947448491, 0.255589678637005,          0.28666502826278, 0.28666502826278, 0.263208245292117,          0.146235674893272, 0.169369143123463, 0.27140983829104,          0.256340531367836), PROX_SUPERMARKET = c(0.191210069763785,          0.0715849245259307, 0.0715849245259307, 0.0715849245259307,          0.300584979098838, 0.13637298984998, 0.100679215951394,          0.324694852199881, 0.128382981112681, 0.221249484047241,          0.215556112381702, 0.204623167766534, 0.363062686357781,          0.396736556610776, 0.396736556610776, 0.44091986097032,          0.347306649978202, 0.169391527985645, 0.221415122113844,          0.24778575064029), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L,          1L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L,          6L, 5L, 6L, 6L, 1L, 3L, 2L, 3L, 3L, 2L, 3L, 3L, 4L, 5L,          3L, 4L, 4L), WITHIN_350M_BUS = c(2L, 4L, 4L, 4L, 5L,          6L, 5L, 3L, 10L, 5L, 9L, 9L, 13L, 11L, 11L, 11L, 9L,          8L, 9L, 8L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 2L,          1L, 1L, 3L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 2L, 2L,          2L), DNeighbour = c(0, 123.071363326585, 123.569492876447,          126.437535573204, 132.338233705343, 166.381833536545,          171.341260287314, 356.967665924978, 566.129574940328,          695.809531257714, 779.649810555415, 798.813921331537,          853.900412594142, 893.875133974373, 896.660788658277,          938.036452964297, 1017.32244047312, 1045.25361806135,          1209.97180917561, 1248.10957620975)), row.names = c("539",      "593", "466", "731", "746", "657", "9", "659", "946", "814",      "211", "971", "776", "603", "499", "964", "37", "404", "71",      "487"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.980648168404955,      0.980491971938046, 0.979580625575476, 0.977641273974885,      0.96477424940296, 0.962663231621888, 0.843091577327934, 0.63084328824224,      0.475002256721537, 0.371848961704495, 0.348543348078963,      0.28295157811592, 0.237248481941365, 0.234139581503279, 0.189354540240852,      0.112645643670877, 0.0891888062789202, 0.00362153075389092,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3419964549 
R squared (OOB):                  0.772762 

$Forests[[540]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 352000, 378000,      360000, 388000, 380000, 492500, 377000, 380000, 385000, 355000,      370000, 430000, 345000, 650000, 655000, 640000, 663000, 655000,      676000), floor_area_sqm = c(103, 84, 84, 83, 98, 92, 108,      98, 93, 91, 84, 84, 104, 84, 104, 87, 87, 87, 87, 87), storey_order = c(2L,      2L, 3L, 3L, 2L, 1L, 2L, 3L, 3L, 1L, 3L, 3L, 2L, 1L, 3L, 1L,      4L, 4L, 5L, 3L), remaining_lease_mths = c(799, 800, 799,      803, 728, 767, 912, 735, 790, 715, 782, 777, 781, 789, 815,      1123, 1121, 1124, 1121, 1120), PROX_CBD = c(8.31972436488376,      8.28689365911172, 8.15960948514705, 8.52567265657093, 8.19895861369783,      8.01258306529517, 8.12312779702036, 8.07728506382532, 7.92065359752155,      8.8262745849674, 7.37752466520609, 7.32999369210923, 7.27303659463988,      7.23308787648785, 7.71625132507906, 9.39818328429371, 9.42381765287156,      9.49727834386093, 9.49727834386093, 9.49727834386093), PROX_ELDERLYCARE = c(1.3912791419992,      1.3668692597991, 1.45090119588013, 1.23693676843424, 1.1658248464307,      1.38923408288603, 1.71708078323557, 1.22552837794249, 1.44631042678071,      0.896855030989675, 1.11141904944431, 1.04617467786566, 0.949520652768775,      0.804640181087392, 1.13999552495818, 0.718190414835305, 0.750155484045513,      0.735218745429302, 0.735218745429302, 0.735218745429302),          PROX_HAWKER = c(0.252588085280054, 0.269406334629514,          0.40344417957638, 0.0724679807682574, 0.391405491562813,          0.532883444787396, 0.581802643409563, 0.503102516785602,          0.646393168274836, 0.311054993693233, 1.06790139631185,          1.00458194418859, 0.905159668549179, 0.727393295990439,          0.888477780938884, 0.640059738279374, 0.667492197519696,          0.639074974233661, 0.639074974233661, 0.639074974233661         ), PROX_MRT = c(0.44379796826936, 0.467794692056616,          0.408889372474398, 0.510058766918036, 0.707144761815547,          0.57194553577364, 0.142211914808532, 0.711885268750489,          0.434970780163821, 0.17731989795878, 0.450606800129455,          0.446590670593176, 0.477339162120678, 0.626719191507479,          0.227897729387739, 0.401734036242065, 0.423547456258288,          0.499971219475903, 0.499971219475903, 0.499971219475903         ), PROX_PARK = c(0.59965919275643, 0.570592214216024,          0.650146210437373, 0.557643312318536, 0.372450573927522,          0.580004121625521, 0.921087542045637, 0.413960848298732,          0.790688256163915, 0.458605630557841, 1.30417314517193,          1.30043300411079, 1.28136359713013, 1.17683143601381,          0.374132090410645, 0.220484561261844, 0.258916726718906,          0.298527066745392, 0.298527066745392, 0.298527066745392         ), PROX_GOOD_PRISCH = c(3.04207330950824, 2.99359805566516,          2.95345383530684, 3.13534109620979, 2.73491137460549,          2.75227504535898, 3.16123688190063, 2.66084492380109,          2.86596411907387, 2.8424495793979, 2.87682745937193,          2.81856751915823, 2.72285479219865, 2.53413597667736,          1.93537396204111, 2.27458198186913, 2.24680049319454,          2.17599822879711, 2.17599822879711, 2.17599822879711),          PROX_MALL = c(2.10790194839897, 2.09618768409308, 2.20417563031698,          1.96281231550532, 1.94983703099632, 2.11322307221905,          2.25269448786787, 2.0316459728171, 2.02812113432733,          1.64561868645684, 1.52964479685301, 1.4733570331857,          1.40144317349524, 1.33824767405872, 1.9342939090943,          1.45650167595406, 1.48330987402926, 1.45007786498113,          1.45007786498113, 1.45007786498113), PROX_CHAS = c(0.261198443001062,          0.229330661012247, 0.102408834624747, 0.169369143123463,          0.293834776478611, 0.1333322783253, 0.169904154790832,          0.279534674537085, 0.0418426354504526, 0.221229860630612,          0.123680988169118, 0.100781853121145, 0.150676124399865,          0.335243362149438, 0.147762521806201, 0.109789289200213,          0.0719365450960561, 0.101351467161616, 0.101351467161616,          0.101351467161616), PROX_SUPERMARKET = c(0.272257424647181,          0.266710264104055, 0.391977689272912, 0.169391527985645,          0.293834967432244, 0.475213328012689, 0.496146947525001,          0.412975566732202, 0.6226371739075, 0.221249484047241,          0.15284622075069, 0.154588063793208, 0.216512452964216,          0.400791637001426, 0.185503456748824, 0.13637298984998,          0.100679215951394, 0.0715849245259307, 0.0715849245259307,          0.0715849245259307), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 3L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 2L,          2L, 3L, 3L, 2L, 1L, 2L, 3L, 2L, 5L, 4L, 4L, 2L, 3L, 6L,          6L, 6L, 6L, 6L), WITHIN_350M_BUS = c(9L, 7L, 7L, 8L,          7L, 6L, 8L, 6L, 6L, 5L, 9L, 8L, 7L, 4L, 6L, 6L, 5L, 4L,          4L, 4L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 2L, 1L, 2L,          1L, 2L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L         ), DNeighbour = c(0, 49.0994085662574, 169.262625875219,          207.121812909368, 318.949659997314, 339.530561893015,          354.737085927707, 377.65045754932, 403.683637410305,          559.685458578916, 999.481351122634, 1034.07437346431,          1072.86110535084, 1092.97975447029, 1106.64282580786,          1113.99786096038, 1131.37902538938, 1204.9249349423,          1208.04985321986, 1216.46177726624)), row.names = c("540",      "266", "327", "404", "29", "200", "669", "395", "1", "814",      "948", "187", "611", "171", "809", "657", "9", "466", "731",      "593"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996744395221001,      0.96165307317071, 0.942859573929719, 0.867234036542942, 0.850260685091513,      0.837154309163456, 0.816530639028481, 0.791877769884117,      0.621439749904447, 0.105575820731155, 0.0769427669731603,      0.0493552291709753, 0.0371387723776012, 0.0297233836155746,      0.0260394138539584, 0.018223277066889, 0.000356375922212024,      0.000189952651114714, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       20721435935 
R squared (OOB):                  -0.2036071 

$Forests[[541]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 440000, 405000,      420000, 395000, 422500, 425000, 380000, 365000, 399000, 385000,      420000, 4e+05, 425000, 450000, 365000, 430000, 415000, 355000,      428888), floor_area_sqm = c(103, 104, 106, 105, 103, 104,      104, 105, 103, 102, 102, 103, 107, 104, 106, 84, 103, 84,      84, 84), storey_order = c(2L, 3L, 2L, 2L, 4L, 3L, 4L, 1L,      1L, 3L, 3L, 2L, 1L, 3L, 2L, 4L, 2L, 3L, 3L, 3L), remaining_lease_mths = c(768,      752, 778, 787, 772, 765, 775, 775, 757, 766, 755, 757, 912,      747, 919, 787, 764, 782, 804, 774), PROX_CBD = c(13.0537205387581,      13.1913836000948, 13.2146489403719, 12.7549887608908, 13.1724132817366,      13.4875816574924, 13.5598735525989, 12.8173662852819, 13.0970803497533,      13.0078000734933, 13.2614515751509, 13.2614515751509, 13.6047453762483,      12.4246534304877, 13.6245617307962, 13.5012180894848, 12.3243460542753,      12.8776183162857, 13.01786092695, 12.8776183162857), PROX_ELDERLYCARE = c(0.569472877275307,      0.779182108791446, 0.392334185262972, 0.556485595404089,      0.906244923447749, 0.428841001075194, 0.555470204987842,      0.548539301056628, 0.830352740740998, 0.748101088186933,      0.99636081833896, 0.99636081833896, 0.271914041498034, 0.223353489993969,      0.120631950903102, 0.126566715598502, 0.362207242709056,      0.211786543917104, 0.807586217367385, 0.211786543917104),          PROX_HAWKER = c(0.963287544217337, 1.05769292681279,          1.1504484389926, 0.627642822312809, 1.03184370064912,          1.41347495302278, 1.44869421276883, 0.687183343617196,          0.973651338137405, 0.90031621758677, 1.14030290242306,          1.14030290242306, 1.50728197565297, 0.283538945902673,          1.48009929412898, 1.32455892398921, 0.290415492755609,          0.677647820815747, 0.976719939584195, 0.677647820815747         ), PROX_MRT = c(0.551410176707671, 0.577154139562059,          0.530339592860526, 0.561554903993597, 0.712767869041386,          0.229256973107587, 0.172867375742438, 0.607087114668938,          0.602819058882962, 0.513893198964272, 0.667490524156887,          0.667490524156887, 0.222008379422339, 0.694199692700576,          0.357520644011877, 0.54422435083218, 0.559245805822074,          0.301948361527339, 0.343251427728879, 0.301948361527339         ), PROX_PARK = c(0.974634241933185, 1.12092772213378,          0.763919329225246, 1.16122098497616, 0.94305137750942,          1.00267286051928, 1.16233583500127, 0.953457314885518,          0.879464356596765, 0.842333894517479, 0.758867978246924,          0.758867978246924, 0.882483872449952, 1.19561442246869,          0.731000545087102, 0.593866981909781, 1.218970746516,          0.246982674114576, 0.656436399769765, 0.246982674114576         ), PROX_GOOD_PRISCH = c(1.48818847749708, 1.6842887316892,          1.57814209766337, 1.29435567579286, 1.76071721252525,          1.87202126825599, 1.97663004084467, 1.5016146113424,          1.76550469910092, 1.72660166123773, 1.91909050044553,          1.91909050044553, 1.96272742295518, 1.09898709469432,          1.96554365084008, 1.8351788996921, 0.889618707353532,          1.22334421357001, 1.85318585541752, 1.22334421357001),          PROX_MALL = c(0.593340478429386, 0.813382909306435, 0.655287065425073,          0.542723135774117, 0.808064657998832, 0.948424723316687,          1.05810160080284, 0.635314033644823, 0.655283448157635,          0.5620231960968, 0.72813233212774, 0.72813233212774,          1.0427530371351, 0.626909601034773, 1.05956757611768,          0.956400108312903, 0.471904090765479, 0.503182159926002,          0.400117032043626, 0.503182159926002), PROX_CHAS = c(0.203693673714882,          0.19044114280624, 0.358071114142678, 0.144180959238343,          0.253073540027742, 0.231037598077535, 0.180657994610612,          0.149554006756045, 0.10733838099953, 1.4078617678234e-08,          0.255705601713763, 0.255705601713763, 0.15212794302602,          0.221655673315632, 2.17172157220984e-06, 0.0648495538885981,          0.193597629002809, 0.128785172156574, 0.191102980152323,          0.128785172156574), PROX_SUPERMARKET = c(0.349948262987797,          0.190441743522314, 0.384538867225359, 0.150188458093997,          0.263318229535236, 0.231037826802092, 0.180658044884504,          0.14719471752053, 0.176189281490626, 0.0851968725918189,          0.336474046543398, 0.336474046543398, 0.353624023725788,          0.209750471448386, 0.237807435452358, 0.329742543966106,          0.331501685351864, 0.17067511852319, 0.230446816430876,          0.17067511852319), WITHIN_350M_KINDERGARTEN = c(2L, 3L,          2L, 2L, 1L, 2L, 2L, 3L, 1L, 2L, 2L, 2L, 0L, 2L, 3L, 1L,          2L, 0L, 3L, 0L), WITHIN_350M_CHILDCARE = c(2L, 4L, 3L,          3L, 3L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 6L, 5L, 5L, 5L, 4L,          1L, 2L, 1L), WITHIN_350M_BUS = c(8L, 8L, 9L, 7L, 6L,          10L, 11L, 5L, 4L, 6L, 6L, 6L, 12L, 4L, 10L, 7L, 4L, 12L,          5L, 12L), WITHIN_1KM_PRISCH = c(6L, 5L, 6L, 5L, 4L, 5L,          6L, 5L, 4L, 4L, 4L, 4L, 5L, 5L, 4L, 4L, 6L, 4L, 4L, 4L         ), DNeighbour = c(0, 224.244069703504, 297.969025459365,          343.233953592882, 409.022697896025, 446.137583610441,          503.649822451421, 511.992693775697, 520.605555397734,          577.194481571666, 588.08712320533, 590.323357601941,          601.40275739837, 692.229357170118, 705.244063281243,          718.515845037417, 734.365619822941, 765.762316913014,          769.280436142413, 772.815887180063)), row.names = c("541",      "229", "511", "215", "225", "663", "564", "523", "597", "103",      "473", "753", "955", "186", "656", "264", "861", "259", "789",      "892"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.838697537829389,      0.72478210966772, 0.644399256345893, 0.518228498486224, 0.444539824586562,      0.330944181013878, 0.314822024061795, 0.298333273709188,      0.195525224142735, 0.177181850094381, 0.173486808912336,      0.155559191110416, 0.0390771443888807, 0.0279647677006203,      0.0183841978308621, 0.00941511600194668, 0.000330181685191658,      8.33313641847929e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       569130970 
R squared (OOB):                  0.1685978 

$Forests[[542]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 390000, 350000,      415000, 385000, 420000, 425000, 423000, 395000, 365000, 440000,      418000, 422500, 399000, 355000, 385000, 411000, 4e+05, 415000,      410000), floor_area_sqm = c(108, 109, 84, 108, 102, 103,      104, 104, 103, 103, 104, 84, 104, 102, 84, 84, 104, 107,      103, 84), storey_order = c(3L, 1L, 2L, 2L, 3L, 2L, 4L, 2L,      4L, 1L, 3L, 3L, 3L, 3L, 3L, 2L, 1L, 1L, 2L, 4L), remaining_lease_mths = c(904,      908, 806, 891, 755, 757, 775, 827, 772, 757, 752, 821, 765,      766, 804, 815, 806, 912, 768, 814), PROX_CBD = c(13.7944980809676,      13.9032473641583, 13.3385512116162, 13.8459786715751, 13.2614515751509,      13.2614515751509, 13.5598735525989, 13.4971436153267, 13.1724132817366,      13.0970803497533, 13.1913836000948, 13.3325431063631, 13.4875816574924,      13.0078000734933, 13.01786092695, 13.8115996810708, 13.1755942624772,      13.6047453762483, 13.0537205387581, 12.8927390133383), PROX_ELDERLYCARE = c(0.91518434198946,      1.01451296282065, 1.09997831443452, 0.429452782693922, 0.99636081833896,      0.99636081833896, 0.555470204987842, 1.36472832701396, 0.906244923447749,      0.830352740740998, 0.779182108791446, 1.22529955141455, 0.428841001075194,      0.748101088186933, 0.807586217367385, 0.244605555667631,      1.08363260419178, 0.271914041498034, 0.569472877275307, 0.702153634905252     ), PROX_HAWKER = c(1.66782294138278, 1.79397933605035, 1.2578245237404,      1.71981564227335, 1.14030290242306, 1.14030290242306, 1.44869421276883,      1.53740682378418, 1.03184370064912, 0.973651338137405, 1.05769292681279,      1.40113048988486, 1.41347495302278, 0.90031621758677, 0.976719939584195,      1.71143518366979, 1.26154745049637, 1.50728197565297, 0.963287544217337,      0.876276656944215), PROX_MRT = c(0.658832763416297, 0.800124130005956,      0.602718547061467, 0.2084775132707, 0.667490524156887, 0.667490524156887,      0.172867375742438, 0.586728597341744, 0.712767869041386,      0.602819058882962, 0.577154139562059, 0.481797794839233,      0.229256973107587, 0.513893198964272, 0.343251427728879,      0.198072339225813, 0.324849533681113, 0.222008379422339,      0.551410176707671, 0.279401054335897), PROX_PARK = c(0.645156432286565,      0.561902145555774, 0.569772965965399, 1.1446906726086, 0.758867978246924,      0.758867978246924, 1.16233583500127, 0.212766960501703, 0.94305137750942,      0.879464356596765, 1.12092772213378, 0.354623255285983, 1.00267286051928,      0.842333894517479, 0.656436399769765, 0.925135888784, 0.447685878226129,      0.882483872449952, 0.974634241933185, 0.620470631841848),          PROX_GOOD_PRISCH = c(2.39271928635374, 2.54268815221988,          2.07907555576542, 2.27101821651052, 1.91909050044553,          1.91909050044553, 1.97663004084467, 2.41235725048041,          1.76071721252525, 1.76550469910092, 1.6842887316892,          2.29474127216967, 1.87202126825599, 1.72660166123773,          1.85318585541752, 2.17137072991142, 2.16883728054707,          1.96272742295518, 1.48818847749708, 1.774803188623),          PROX_MALL = c(1.14990641994387, 1.19892197022629, 0.668924040978838,          1.35153556565047, 0.72813233212774, 0.72813233212774,          1.05810160080284, 0.707673546664446, 0.808064657998832,          0.655283448157635, 0.813382909306435, 0.542371475290289,          0.948424723316687, 0.5620231960968, 0.400117032043626,          1.25122768833936, 0.386525633611572, 1.0427530371351,          0.593340478429386, 0.322264379768498), PROX_CHAS = c(0.17469359838053,          0.278906060515125, 0.191227179226131, 0.345234103044859,          0.255705601713763, 0.255705601713763, 0.180657994610612,          0.13417187150752, 0.253073540027742, 0.10733838099953,          0.19044114280624, 0.059226360432522, 0.231037598077535,          1.4078617678234e-08, 0.191102980152323, 0.130123043615932,          0.194419509978617, 0.15212794302602, 0.203693673714882,          0.241407331054591), PROX_SUPERMARKET = c(0.357404112790227,          0.357092891009527, 0.444314653432489, 0.426625283183798,          0.336474046543398, 0.336474046543398, 0.180658044884504,          0.707669264145537, 0.263318229535236, 0.176189281490626,          0.190441743522314, 0.542367678587035, 0.231037826802092,          0.0851968725918189, 0.230446816430876, 0.30366394922488,          0.386520309138909, 0.353624023725788, 0.349948262987797,          0.234452518543083), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 1L, 1L, 2L, 2L, 2L, 0L, 1L, 1L, 3L, 0L, 2L, 2L, 3L,          0L, 1L, 0L, 2L, 2L), WITHIN_350M_CHILDCARE = c(3L, 2L,          3L, 3L, 2L, 2L, 3L, 5L, 3L, 1L, 4L, 6L, 2L, 2L, 2L, 3L,          5L, 6L, 2L, 4L), WITHIN_350M_BUS = c(7L, 7L, 5L, 12L,          6L, 6L, 11L, 7L, 6L, 4L, 8L, 10L, 10L, 6L, 5L, 10L, 12L,          12L, 8L, 4L), WITHIN_1KM_PRISCH = c(4L, 3L, 5L, 5L, 4L,          4L, 6L, 4L, 4L, 4L, 5L, 4L, 5L, 4L, 4L, 5L, 4L, 5L, 6L,          4L), DNeighbour = c(0, 161.998748404751, 487.865168172203,          493.292240140978, 535.921148902785, 538.323660399691,          611.029927399382, 614.714769161397, 647.098462617926,          708.92030753798, 721.572874673591, 722.040632346628,          769.375326634452, 795.424046723175, 814.517579477537,          824.854353740483, 826.645627524549, 867.64872808529,          935.232599257709, 936.882172185713)), row.names = c("542",      "113", "618", "970", "473", "753", "564", "353", "225", "597",      "229", "565", "663", "103", "789", "235", "131", "955", "541",      "493"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.941096390261242,      0.531204060226166, 0.522397956020227, 0.452641037308175,      0.448693232361089, 0.330212968079455, 0.324325519654189,      0.273468791310044, 0.182700580179509, 0.165498124664997,      0.164872782649925, 0.106026485741875, 0.0779408659837963,      0.0596131685482286, 0.0505584528406262, 0.0490541669197958,      0.0202591220163281, 1.23785017247945e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       576952215 
R squared (OOB):                  0.01527518 

$Forests[[543]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 375000, 350000,      385000, 420000, 390000, 368888, 350000, 350000, 4e+05, 4e+05,      377000, 380000, 4e+05, 368000, 390000, 370000, 412000, 390000,      395000), floor_area_sqm = c(92, 92, 104, 92, 92, 93, 92,      92, 92, 92, 92, 92, 93, 96, 92, 92, 92, 92, 92, 93), storey_order = c(2L,      1L, 3L, 3L, 4L, 3L, 2L, 1L, 1L, 3L, 4L, 2L, 3L, 2L, 2L, 4L,      1L, 3L, 2L, 4L), remaining_lease_mths = c(1133, 1139, 812,      1132, 1133, 1113, 1102, 1111, 1131, 1136, 1142, 1135, 1110,      1098, 1100, 1142, 1090, 1128, 1128, 1108), PROX_CBD = c(14.8395197777251,      14.8395197777251, 14.8739209120931, 14.9536689261967, 14.7615340778399,      14.6879879340018, 14.8482953663728, 14.8482953663728, 14.6346875310408,      14.7935232496013, 14.8350589102573, 14.5662038835035, 14.607628567626,      15.0414874321427, 14.9752079088984, 14.5596883563906, 15.0414874321427,      14.5596883563906, 14.5136499050456, 14.6649260398624), PROX_ELDERLYCARE = c(0.143171284390361,      0.143171284390361, 0.224374856243457, 1.13414610370389e-06,      0.301679225956583, 0.267910637295867, 0.157028625587627,      0.157028625587627, 0.318998242024868, 0.348662381557687,      0.366071958673004, 0.396119369193007, 0.363539264939185,      0.180026828914976, 0.199763345782594, 0.399519357429504,      0.180026828914976, 0.399519357429504, 0.440212280139716,      0.374463671675583), PROX_HAWKER = c(0.426817039061835, 0.426817039061835,      0.490895901627697, 0.283688306330561, 0.582527401679673,      0.507741768149319, 0.332945546865787, 0.332945546865787,      0.567748890704442, 0.61938764744993, 0.625406547060166, 0.661743266121302,      0.571839614015762, 0.135868389364205, 0.202333554334061,      0.625641729464286, 0.135868389364205, 0.625641729464286,      0.681591249319273, 0.515424723672587), PROX_MRT = c(1.58589972239689,      1.58589972239689, 1.67344316225132, 1.45204946878565, 1.75082728996661,      1.51619569366002, 1.41585626072206, 1.41585626072206, 1.53691575721219,      1.80023823132094, 1.81204065654847, 1.61118001364451, 1.42703012637354,      1.27219969611937, 1.27457972333389, 1.46473462254762, 1.27219969611937,      1.46473462254762, 1.51230084146916, 1.31347134818138), PROX_PARK = c(0.573834160005083,      0.573834160005083, 0.671840643384197, 0.447466290733612,      0.739209778966795, 0.573128508978659, 0.40224168015695, 0.40224168015695,      0.633519966923, 0.794674698621811, 0.813480610745631, 0.741043428920938,      0.592644125813336, 0.270313948020077, 0.259935562114549,      0.656743209310805, 0.270313948020077, 0.656743209310805,      0.723946747094916, 0.48594234877488), PROX_GOOD_PRISCH = c(5.56483468018996,      5.56483468018996, 5.63420261242257, 5.64958645026222, 5.53447364393692,      5.38500296681299, 5.51627049340211, 5.51627049340211, 5.34297669438126,      5.58881641790013, 5.6396253746677, 5.30307595814772, 5.28617698570013,      5.69200203864946, 5.6171537261999, 5.25302892838613, 5.69200203864946,      5.25302892838613, 5.22451833965112, 5.30673314037113), PROX_MALL = c(0.805396060532061,      0.805396060532061, 0.927972955155417, 0.806257336881612,      0.897398400321744, 0.626246838364162, 0.649229394533883,      0.649229394533883, 0.633302242537752, 0.980189305249844,      1.03026167893405, 0.69438942428714, 0.523782484457491, 0.767711199656331,      0.689421511186311, 0.550646738699849, 0.767711199656331,      0.550646738699849, 0.591658790399046, 0.439421746266814),          PROX_CHAS = c(0.204546662914522, 0.204546662914522, 0.25243947150411,          0.14456617920399, 0.166975848000366, 0.160113448728027,          0.274130336331615, 0.274130336331615, 0.120955806912261,          0.244316778428722, 0.298721071991625, 0.0799578054615725,          0.198893245072118, 0.163757574589084, 0.230775629929228,          0.19650938121062, 0.163757574589084, 0.19650938121062,          0.179710137259641, 0.0969357032130768), PROX_SUPERMARKET = c(0.280088374069707,          0.280088374069707, 0.298947211163532, 0.16127040484797,          0.408349928269047, 0.300165340388346, 0.296829834724774,          0.296829834724774, 0.327836032489634, 0.416104879739584,          0.402632437071234, 0.41943325951703, 0.223766299699327,          0.197268674737732, 0.264202614673064, 0.27843134046436,          0.197268674737732, 0.27843134046436, 0.343491998264143,          0.0969351949685631), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(5L, 5L,          3L, 7L, 3L, 6L, 5L, 5L, 6L, 2L, 2L, 3L, 4L, 4L, 4L, 3L,          4L, 3L, 4L, 6L), WITHIN_350M_BUS = c(5L, 5L, 6L, 6L,          4L, 7L, 9L, 9L, 8L, 6L, 6L, 6L, 7L, 9L, 9L, 7L, 9L, 7L,          6L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 4L,          4L, 4L, 4L, 3L, 3L, 3L, 4L, 3L, 3L, 4L, 3L, 4L, 4L, 4L         ), DNeighbour = c(0, 2.58236981249657, 126.599354868082,          145.470104402822, 164.465326013978, 195.362888709473,          198.066734795209, 201.314409712094, 229.583311104135,          231.265682319107, 255.185001418135, 274.537798796268,          306.872777989036, 317.453111031196, 317.677597304641,          319.991218501251, 321.676768958368, 322.600585145346,          339.474971047901, 370.750904069579)), row.names = c("543",      "152", "602", "139", "620", "469", "195", "762", "583", "478",      "27", "368", "452", "632", "558", "163", "793", "961", "706",      "17"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999902973158127,      0.780395561278183, 0.715798580876747, 0.645159961398809,      0.521769182948813, 0.510648766322881, 0.497251694103649,      0.380125790699721, 0.373202404493938, 0.276942932143059,      0.204008241522545, 0.0991636744337512, 0.0712072118904048,      0.0706547077272015, 0.065064014050156, 0.0611118267943396,      0.0589897243176187, 0.0261146767863161, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       571693093 
R squared (OOB):                  -0.1976526 

$Forests[[544]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(325000, 313000, 339000,      305000, 315000, 350000, 323000, 364000, 305000, 365000, 388000,      415000, 320000, 338000, 432000, 410000, 420000, 335000, 345000,      333000), floor_area_sqm = c(91, 99, 102, 99, 102, 102, 101,      100, 99, 92, 92, 92, 101, 102, 92, 92, 92, 100, 102, 99),          storey_order = c(2L, 4L, 3L, 1L, 2L, 4L, 1L, 2L, 4L,          1L, 1L, 2L, 1L, 4L, 4L, 2L, 1L, 4L, 4L, 3L), remaining_lease_mths = c(970,          918, 923, 921, 913, 923, 937, 921, 930, 1135, 1134, 1125,          924, 922, 1123, 1136, 1121, 927, 926, 927), PROX_CBD = c(17.7083177660008,          17.8728040148932, 17.9456645257603, 17.9733391318796,          17.9994058772431, 18.0569924715364, 17.4093430047218,          17.9386403893839, 17.5508688704121, 17.8160591469996,          17.8160591469996, 17.7609329148819, 18.0902268845521,          18.1611534549189, 17.7152334804069, 17.7152334804069,          17.7152334804069, 17.5934100264964, 18.236688278315,          17.6933534103443), PROX_ELDERLYCARE = c(0.378187975507624,          0.330981516384048, 0.476454782767532, 0.376016337241346,          0.430537495183344, 0.59750504274373, 0.347622879353981,          0.714833653499633, 0.169110695114153, 0.101440000613482,          0.101440000613482, 0.0656405943898966, 0.706169610995159,          0.519233937445895, 0.0982899037000713, 0.0982899037000713,          0.0982899037000713, 0.183364759720919, 0.732088251039709,          0.174626049595048), PROX_HAWKER = c(0.340346390827249,          0.446535534086157, 0.3648710200987, 0.501520555884575,          0.472244893923117, 0.391180253405874, 0.646263997619536,          0.201936965562497, 0.736171211400498, 0.755409785256781,          0.755409785256781, 0.769612072642938, 0.370412154176866,          0.617364695979906, 0.815736811633103, 0.815736811633103,          0.815736811633103, 0.860123145519879, 0.537987121264097,          0.89059259132002), PROX_MRT = c(0.403335562748004, 0.4868918768976,          0.385567417899789, 0.52882455357406, 0.492638498779759,          0.384524332485438, 0.722831181419355, 0.168914117564514,          0.804998329325227, 0.729659889526201, 0.729659889526201,          0.714624513867521, 0.341202563029131, 0.623413162025338,          0.674833365376197, 0.674833365376197, 0.674833365376197,          0.675234243169572, 0.511061821383635, 0.606842528225389         ), PROX_PARK = c(1.86766019581863, 1.69875568186822,          1.76180373116006, 1.62685700377268, 1.65421298847909,          1.77011013021076, 1.92330050908574, 1.99379565561889,          1.71737354643835, 1.49250729308795, 1.49250729308795,          1.52091098886828, 1.8531048262974, 1.52418818882418,          1.52614967260321, 1.52614967260321, 1.52614967260321,          1.60355051242194, 1.7164330470264, 1.49905344652453),          PROX_GOOD_PRISCH = c(8.26299778187914, 8.43952013253886,          8.49089982759618, 8.54142359534323, 8.5589292690065,          8.58956131155308, 8.00696366683488, 8.4444135457925,          8.17476856172454, 8.44175881664207, 8.44175881664207,          8.39120163011403, 8.60631027953587, 8.72758527833631,          8.35538963357137, 8.35538963357137, 8.35538963357137,          8.24279341902993, 8.76378557853615, 8.34857469941546),          PROX_MALL = c(0.335143296665789, 0.330972758922268, 0.428159644756295,          0.395841490391381, 0.446560923090423, 0.407254736414821,          0.265229996889848, 0.238372860218233, 0.109574351562212,          0.183177100903513, 0.183177100903513, 0.147411017927622,          0.342860958869265, 0.475604736810637, 0.158599011552442,          0.158599011552442, 0.158599011552442, 0.188384425612312,          0.240339889961931, 0.223321337745784), PROX_CHAS = c(0.30242004444134,          0.330972805611547, 0.218909691095897, 0.364030465322827,          0.324811070171065, 0.222103720735081, 0.23105278557526,          0.076984763134016, 0.048268048492383, 0.183177099178452,          0.183177099178452, 0.14741100268466, 0.209799590563819,          0.405258493214775, 0.158598978424062, 0.158598978424062,          0.158598978424062, 0.151781240761386, 0.184864523484869,          0.21485891447712), PROX_SUPERMARKET = c(0.332189289926598,          0.300218301814749, 0.365864675212809, 0.356071330024396,          0.408691343873882, 0.385535197909366, 0.313773352526138,          0.171190500184261, 0.15801430638391, 0.137568853383185,          0.137568853383185, 0.113022549454425, 0.342860053820009,          0.475604214408431, 0.144345834884574, 0.144345834884574,          0.144345834884574, 0.209139790637019, 0.240339157209448,          0.218378438252518), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(6L, 4L,          3L, 3L, 4L, 4L, 7L, 6L, 7L, 8L, 8L, 8L, 6L, 5L, 6L, 6L,          6L, 6L, 6L, 5L), WITHIN_350M_BUS = c(7L, 8L, 8L, 11L,          9L, 9L, 13L, 8L, 12L, 15L, 15L, 10L, 7L, 10L, 12L, 12L,          12L, 12L, 7L, 13L), WITHIN_1KM_PRISCH = c(5L, 7L, 6L,          7L, 7L, 6L, 5L, 5L, 6L, 6L, 6L, 6L, 5L, 6L, 7L, 7L, 7L,          8L, 6L, 8L), DNeighbour = c(0, 187.291304478471, 238.981801355761,          287.215850138294, 295.932395583348, 365.675014042036,          370.435269294713, 373.47908847105, 407.220810358967,          424.602742396779, 432.033764866121, 437.067417749056,          443.350985025891, 469.53574551265, 476.056235060802,          480.131734428614, 485.23526382544, 524.477559116244,          546.272226863665, 553.09386266986)), row.names = c("544",      "992", "20", "179", "177", "491", "174", "638", "438", "402",      "53", "365", "74", "330", "298", "13", "289", "419", "227",      "112"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.783814941707256,      0.661465516054898, 0.533394160274603, 0.509399689586929,      0.31684271317285, 0.30407874142482, 0.295970203855286, 0.209692024440965,      0.16863941534923, 0.151981834017662, 0.141036165739056, 0.127780287831908,      0.0780222837905531, 0.0671688452180595, 0.0607281348826199,      0.0530498905029803, 0.0101607049506004, 0.000600988795206147,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       801704249 
R squared (OOB):                  0.5076163 

$Forests[[545]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 4e+05, 371000,      430000, 4e+05, 365000, 345000, 390000, 450000, 368000, 375000,      465000, 4e+05, 385000, 455000, 370000, 395888, 365000, 338000,      425000), floor_area_sqm = c(90, 91, 91, 91, 90, 91, 92, 91,      93, 100, 100, 106, 100, 90, 106, 92, 94, 91, 103, 93), storey_order = c(2L,      2L, 2L, 4L, 3L, 5L, 2L, 2L, 4L, 2L, 5L, 2L, 5L, 3L, 4L, 3L,      3L, 4L, 4L, 3L), remaining_lease_mths = c(947, 956, 957,      962, 953, 965, 974, 956, 950, 937, 935, 933, 923, 1060, 933,      922, 1063, 1061, 836, 1029), PROX_CBD = c(17.5579663674298,      17.5146993337396, 17.630719557776, 17.4594236905894, 17.5759295796121,      17.6174166659189, 17.6174166659189, 17.980006840849, 17.4336546583772,      18.1853912561079, 18.2155576397088, 17.1401277939721, 18.2155576397088,      17.6242343596777, 17.1634204962367, 18.2744201988815, 18.1899007658477,      17.5974072281911, 18.1853470145009, 18.2498667293237), PROX_ELDERLYCARE = c(1.26304449634962,      1.21552371031002, 1.35614304544574, 1.1429422216578, 1.07156662032258,      1.58663462608392, 1.58663462608392, 1.69038013517483, 0.825709875044437,      1.83831888483507, 1.82774218733134, 0.586863575497558, 1.82774218733134,      0.892136309268664, 0.565792923614884, 1.91030467455468, 2.0412967820292,      0.819477307137174, 1.46334015610348, 2.08641833813892), PROX_HAWKER = c(0.610726758846462,      0.65109908849923, 0.550798352023498, 0.704564458032275, 0.622851592932912,      0.699652587196505, 0.699652587196505, 0.32947027962251, 0.841716009165303,      0.267411626133086, 0.218122417644225, 0.685044657792881,      0.218122417644225, 0.816419857336687, 0.666841975849823,      0.292675997882175, 0.56403310040428, 0.922900854400271, 0.490406092071559,      0.574007707230075), PROX_MRT = c(0.415424130147435, 0.367017506823782,      0.481509556817778, 0.304209523777939, 0.449846795062068,      0.430901962912929, 0.430901962912929, 0.131298797620671,      0.463093751675267, 0.186589372260449, 0.24629140143503, 0.418422993771755,      0.24629140143503, 0.729175757939742, 0.463116738810145, 0.25859759791353,      0.225540054498686, 0.830609903675807, 0.888080533877704,      0.270260950193414), PROX_PARK = c(0.622915525490857, 0.57589083993138,      0.706852169587072, 0.515475588097358, 0.650211227804106,      0.815337468455046, 0.815337468455046, 0.597192139646456,      0.609424449579261, 0.431621232177097, 0.449638685926872,      0.454841043819919, 0.449638685926872, 0.830497330619545,      0.505224516024672, 0.366705585759005, 0.321396863181507,      0.751240825934154, 0.741201414908801, 0.261745107633199),          PROX_GOOD_PRISCH = c(6.89020500321914, 6.84682201594428,          6.96345421686322, 6.79149624878531, 6.90999703096039,          6.95710824587607, 6.95710824587607, 7.31481473864251,          6.77374769998522, 7.51998659904145, 7.54917724573578,          6.48254224033906, 7.54917724573578, 6.97273607492461,          6.50789265243056, 7.60907430161507, 7.5338271442293,          6.95474206477502, 7.52724739525134, 7.5938744989762),          PROX_MALL = c(0.488271313828636, 0.437698049352173, 0.581015113036356,          0.366883459562171, 0.456006423255308, 0.753687860987251,          0.753687860987251, 0.38257003715367, 0.404491618549369,          0.304347432784639, 0.249434383428027, 0.306862579253759,          0.249434383428027, 0.671391539314818, 0.353588302636786,          0.31638525459609, 0.601163950940652, 0.757845794253982,          0.362005799982455, 0.606938778613173), PROX_CHAS = c(0.40162373925963,          0.354009255575758, 0.481496129777697, 0.293637386768921,          0.401255348981324, 0.430898255483663, 0.430898255483663,          0.131281394661179, 0.260153188296123, 0.186582621643492,          0.246283235408848, 0.133156315003352, 0.246283235408848,          0.0497500971788425, 0.171584438209325, 0.258594927218762,          0.225556636612455, 0.175468897673469, 0.11010335009361,          0.270276303087269), PROX_SUPERMARKET = c(0.339170507836652,          0.288534867112482, 0.432325009404537, 0.217741105325511,          0.338457664260807, 0.467885028141574, 0.467885028141574,          0.37748716441855, 0.355873580059747, 0.289364184128333,          0.233030240431279, 0.27639551573194, 0.233030240431279,          0.442456788826315, 0.320581809168482, 0.297968471640837,          0.37174850741073, 0.336744227428862, 0.36017462873485,          0.384544806397502), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 1L,          1L, 1L, 1L, 7L, 1L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 6L, 5L, 4L, 4L, 5L, 4L, 7L, 7L, 3L, 7L, 2L, 4L, 7L,          5L, 3L, 4L, 6L), WITHIN_350M_BUS = c(9L, 10L, 8L, 8L,          8L, 6L, 6L, 14L, 12L, 16L, 15L, 7L, 15L, 12L, 8L, 17L,          13L, 6L, 11L, 11L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          4L, 4L, 3L, 3L, 3L, 6L, 4L, 6L, 4L, 6L, 4L, 4L, 5L, 4L,          4L, 5L, 4L), DNeighbour = c(0, 51.9676327484773, 99.9704755825056,          123.476099423066, 273.661029625701, 356.753095136037,          357.129553147626, 468.658377569225, 501.563919704742,          651.062733284144, 669.081350315116, 674.225500347413,          674.359672115359, 683.531959507584, 700.556591905783,          746.869151426693, 792.041425886277, 823.173712798749,          840.663026902135, 847.636844862698)), row.names = c("545",      "93", "547", "937", "357", "220", "14", "910", "535", "31",      "571", "530", "643", "300", "991", "835", "422", "720", "857",      "369"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.992496580354394,      0.972373694414286, 0.958010214608121, 0.8023980783888, 0.677099112235387,      0.676483678758435, 0.482054759387595, 0.422327245498922,      0.168128952893624, 0.142074758472437, 0.134916929625267,      0.134731988207174, 0.12230659053227, 0.100443046183304, 0.0500098606019678,      0.0160974095213356, 0.00323622893385683, 0.000268535114413224,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       698320854 
R squared (OOB):                  0.4411115 

$Forests[[546]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(398000, 280000, 3e+05,      365000, 380000, 355000, 375000, 310000, 308000, 350000, 380000,      395000, 295000, 380000, 412000, 390000, 390000, 390000, 350000,      368888), floor_area_sqm = c(104, 84, 85, 103, 108, 104, 104,      84, 84, 93, 92, 93, 83, 93, 92, 92, 92, 93, 92, 92), storey_order = c(3L,      4L, 4L, 4L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 4L, 1L, 3L, 3L, 4L,      2L, 3L, 1L, 2L), remaining_lease_mths = c(823, 809, 798,      805, 807, 785, 808, 787, 779, 1111, 1142, 1108, 812, 1110,      1128, 1142, 1128, 1113, 1111, 1102), PROX_CBD = c(14.4215550437188,      14.5514247745221, 14.6468242567931, 14.5082496767788, 14.3069689320192,      14.7946380504301, 14.2674761918172, 14.7686155241139, 14.8104288104214,      14.6221320584002, 14.4940333615496, 14.6649260398624, 14.136177090114,      14.607628567626, 14.5596883563906, 14.5596883563906, 14.5136499050456,      14.6879879340018, 14.8482953663728, 14.8482953663728), PROX_ELDERLYCARE = c(0.933706769700102,      0.934928905143492, 0.791783477476035, 1.0960579077266, 1.30284795398611,      1.02543356664281, 1.37520258101488, 1.18091019396193, 1.14385816982861,      0.410896008057539, 0.500918112427577, 0.374463671675583,      1.52241617566094, 0.363539264939185, 0.399519357429504, 0.399519357429504,      0.440212280139716, 0.267910637295867, 0.157028625587627,      0.157028625587627), PROX_HAWKER = c(0.964097104531415, 0.920905853639359,      0.771377618176498, 1.06968967826483, 1.30042856091519, 0.927587772885235,      1.3725902814614, 1.07995965555937, 1.03493347869974, 0.55845452984231,      0.682637638745144, 0.515424723672587, 1.5304212921709, 0.571839614015762,      0.625641729464286, 0.625641729464286, 0.681591249319273,      0.507741768149319, 0.332945546865787, 0.332945546865787),          PROX_MRT = c(0.766580328668093, 0.702240402731505, 0.834242720427877,          0.541381135472874, 0.431073100471927, 0.635923545376501,          0.392323251912074, 0.495669019430354, 0.547659244513397,          1.30119397664661, 1.32800225952209, 1.31347134818138,          0.407136749273107, 1.42703012637354, 1.46473462254762,          1.46473462254762, 1.51230084146916, 1.51619569366002,          1.41585626072206, 1.41585626072206), PROX_PARK = c(0.786856267919922,          0.717751277212032, 0.572284771964545, 0.854937524579578,          0.87843358408359, 0.687013904416796, 0.808406007535371,          0.837021679605882, 0.79060261488636, 0.524601749565547,          0.65941869562705, 0.48594234877488, 0.646645557650639,          0.592644125813336, 0.656743209310805, 0.656743209310805,          0.723946747094916, 0.573128508978659, 0.40224168015695,          0.40224168015695), PROX_GOOD_PRISCH = c(4.94298421634201,          5.05486565817651, 5.17213285521296, 4.9821455258424,          4.7599521059868, 5.2635668385575, 4.71060068854172, 5.21242267662931,          5.2589313064801, 5.26427170666348, 5.15263130971644,          5.30673314037113, 4.56541244462189, 5.28617698570013,          5.25302892838613, 5.25302892838613, 5.22451833965112,          5.38500296681299, 5.51627049340211, 5.51627049340211),          PROX_MALL = c(0.158055972255249, 0.264439990658005, 0.253080993480643,          0.395836928017505, 0.530519583310388, 0.540570027720398,          0.598720745421956, 0.644074766251318, 0.641907311269237,          0.412850725186958, 0.407798057490129, 0.439421746266814,          0.730402721918488, 0.523782484457491, 0.550646738699849,          0.550646738699849, 0.591658790399046, 0.626246838364162,          0.649229394533883, 0.649229394533883), PROX_CHAS = c(0.110909163864147,          0.0412741280494288, 0.118994056415591, 0.111998728732921,          0.141608811196257, 0.151656769473437, 0.0989632897848068,          0.305551557127515, 0.273160540123658, 0.0938393111767789,          0.0559452214520875, 0.0969357032130768, 0.0978085819739089,          0.198893245072118, 0.19650938121062, 0.19650938121062,          0.179710137259641, 0.160113448728027, 0.274130336331615,          0.274130336331615), PROX_SUPERMARKET = c(0.155031856949385,          0.259076961683863, 0.246822057901315, 0.321173728185784,          0.179396317901182, 0.505826018716947, 0.13781747249929,          0.397697747354111, 0.406551385550075, 0.0938384818523742,          0.202112654374605, 0.0969351949685631, 0.152757697669253,          0.223766299699327, 0.27843134046436, 0.27843134046436,          0.343491998264143, 0.300165340388346, 0.296829834724774,          0.296829834724774), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 2L, 1L, 3L, 1L, 1L, 1L, 0L, 1L, 3L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 4L,          5L, 4L, 7L, 5L, 7L, 3L, 2L, 6L, 4L, 6L, 7L, 4L, 3L, 3L,          4L, 6L, 5L, 5L), WITHIN_350M_BUS = c(10L, 7L, 9L, 8L,          7L, 8L, 6L, 8L, 7L, 9L, 9L, 8L, 7L, 7L, 7L, 7L, 6L, 7L,          9L, 9L), WITHIN_1KM_PRISCH = c(2L, 2L, 3L, 3L, 3L, 3L,          3L, 3L, 4L, 4L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L         ), DNeighbour = c(0, 147.226844499294, 232.337298469643,          236.421980307808, 370.66008812138, 439.57184867471, 443.141866406577,          518.254284250313, 522.039459970344, 562.425081563915,          572.563061072028, 580.062404178735, 587.157030037866,          674.670805768588, 706.351862341121, 711.211649857049,          757.379105514903, 776.179845911493, 780.439629232171,          783.558810064741)), row.names = c("546", "253", "862",      "884", "341", "424", "377", "101", "396", "324", "702", "17",      "665", "452", "961", "163", "706", "469", "762", "195"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.930637290599814, 0.831887343206556, 0.826208183909931,      0.60252774040562, 0.469616421427983, 0.462608015911814, 0.316446426949872,      0.309271852970349, 0.235019181691737, 0.217199319008399,      0.204274705183848, 0.192264591736989, 0.0668845042837209,      0.0351032103941363, 0.0310245576886418, 0.00431731137934996,      0.000351405116310697, 6.3134587232281e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1231034153 
R squared (OOB):                  0.1994365 

$Forests[[547]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(371000, 390000, 4e+05,      430000, 365000, 345000, 4e+05, 390000, 368000, 375000, 450000,      4e+05, 370000, 395888, 385000, 425000, 465000, 342000, 455000,      332000), floor_area_sqm = c(91, 90, 91, 91, 91, 92, 90, 91,      100, 100, 93, 100, 92, 94, 90, 93, 106, 105, 106, 104), storey_order = c(2L,      2L, 2L, 4L, 5L, 2L, 3L, 2L, 2L, 5L, 4L, 5L, 3L, 3L, 3L, 3L,      2L, 4L, 4L, 3L), remaining_lease_mths = c(957, 947, 956,      962, 965, 974, 953, 956, 937, 935, 950, 923, 922, 1063, 1060,      1029, 933, 822, 933, 838), PROX_CBD = c(17.630719557776,      17.5579663674298, 17.5146993337396, 17.4594236905894, 17.6174166659189,      17.6174166659189, 17.5759295796121, 17.980006840849, 18.1853912561079,      18.2155576397088, 17.4336546583772, 18.2155576397088, 18.2744201988815,      18.1899007658477, 17.6242343596777, 18.2498667293237, 17.1401277939721,      18.4174433264455, 17.1634204962367, 18.3394484051955), PROX_ELDERLYCARE = c(1.35614304544574,      1.26304449634962, 1.21552371031002, 1.1429422216578, 1.58663462608392,      1.58663462608392, 1.07156662032258, 1.69038013517483, 1.83831888483507,      1.82774218733134, 0.825709875044437, 1.82774218733134, 1.91030467455468,      2.0412967820292, 0.892136309268664, 2.08641833813892, 0.586863575497558,      2.01990466694452, 0.565792923614884, 1.68689945441126), PROX_HAWKER = c(0.550798352023498,      0.610726758846462, 0.65109908849923, 0.704564458032275, 0.699652587196505,      0.699652587196505, 0.622851592932912, 0.32947027962251, 0.267411626133086,      0.218122417644225, 0.841716009165303, 0.218122417644225,      0.292675997882175, 0.56403310040428, 0.816419857336687, 0.574007707230075,      0.685044657792881, 0.365194571711665, 0.666841975849823,      0.322806547864559), PROX_MRT = c(0.481509556817778, 0.415424130147435,      0.367017506823782, 0.304209523777939, 0.430901962912929,      0.430901962912929, 0.449846795062068, 0.131298797620671,      0.186589372260449, 0.24629140143503, 0.463093751675267, 0.24629140143503,      0.25859759791353, 0.225540054498686, 0.729175757939742, 0.270260950193414,      0.418422993771755, 0.394110762668951, 0.463116738810145,      0.722989849955079), PROX_PARK = c(0.706852169587072, 0.622915525490857,      0.57589083993138, 0.515475588097358, 0.815337468455046, 0.815337468455046,      0.650211227804106, 0.597192139646456, 0.431621232177097,      0.449638685926872, 0.609424449579261, 0.449638685926872,      0.366705585759005, 0.321396863181507, 0.830497330619545,      0.261745107633199, 0.454841043819919, 0.305293053539538,      0.505224516024672, 0.845903786092674), PROX_GOOD_PRISCH = c(6.96345421686322,      6.89020500321914, 6.84682201594428, 6.79149624878531, 6.95710824587607,      6.95710824587607, 6.90999703096039, 7.31481473864251, 7.51998659904145,      7.54917724573578, 6.77374769998522, 7.54917724573578, 7.60907430161507,      7.5338271442293, 6.97273607492461, 7.5938744989762, 6.48254224033906,      7.75189187586876, 6.50789265243056, 7.67457853159282), PROX_MALL = c(0.581015113036356,      0.488271313828636, 0.437698049352173, 0.366883459562171,      0.753687860987251, 0.753687860987251, 0.456006423255308,      0.38257003715367, 0.304347432784639, 0.249434383428027, 0.404491618549369,      0.249434383428027, 0.31638525459609, 0.601163950940652, 0.671391539314818,      0.606938778613173, 0.306862579253759, 0.368677515727611,      0.353588302636786, 0.270650184250749), PROX_CHAS = c(0.481496129777697,      0.40162373925963, 0.354009255575758, 0.293637386768921, 0.430898255483663,      0.430898255483663, 0.401255348981324, 0.131281394661179,      0.186582621643492, 0.246283235408848, 0.260153188296123,      0.246283235408848, 0.258594927218762, 0.225556636612455,      0.0497500971788425, 0.270276303087269, 0.133156315003352,      0.279695275413424, 0.171584438209325, 0.186439783883369),          PROX_SUPERMARKET = c(0.432325009404537, 0.339170507836652,          0.288534867112482, 0.217741105325511, 0.467885028141574,          0.467885028141574, 0.338457664260807, 0.37748716441855,          0.289364184128333, 0.233030240431279, 0.355873580059747,          0.233030240431279, 0.297968471640837, 0.37174850741073,          0.442456788826315, 0.384544806397502, 0.27639551573194,          0.3481604922123, 0.320581809168482, 0.279112228601587         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 4L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 6L, 4L, 4L,          5L, 5L, 7L, 7L, 4L, 7L, 7L, 5L, 2L, 6L, 3L, 7L, 4L, 4L         ), WITHIN_350M_BUS = c(8L, 9L, 10L, 8L, 6L, 6L, 8L, 14L,          16L, 15L, 12L, 15L, 17L, 13L, 12L, 11L, 7L, 14L, 8L,          11L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 3L, 3L, 4L,          3L, 4L, 6L, 6L, 6L, 5L, 4L, 4L, 4L, 4L, 5L, 4L, 6L),          DNeighbour = c(0, 99.9704755825056, 151.93532749807,          223.415426104154, 289.840874740634, 290.965480928909,          341.628813499558, 372.322877166489, 559.845997675701,          581.758027982641, 585.560373636415, 587.626344088881,          656.33527910506, 692.079955468133, 744.72214543988, 747.864793210195,          772.158854111548, 788.911109489082, 797.325468532766,          812.73064630847)), row.names = c("547", "545", "93",      "937", "220", "14", "357", "910", "31", "571", "535", "643",      "835", "422", "300", "369", "530", "257", "991", "693"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.969968140393912, 0.931325062496809, 0.854576095146334,      0.761811087040188, 0.760085860591863, 0.67783684940728, 0.624308617513921,      0.276141447023935, 0.237774037561864, 0.231265894253607,      0.227750098056813, 0.120988416793909, 0.0755503994856827,      0.0257140000836003, 0.0234869373768362, 0.00947675855511905,      0.0033358832612278, 0.00141003180465461, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       843024409 
R squared (OOB):                  0.3904488 

$Forests[[548]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(336000, 320000, 340000,      325000, 348000, 380000, 380000, 416000, 360000, 370000, 370000,      326000, 380000, 362000, 308000, 335000, 338000, 370000, 355000,      303888), floor_area_sqm = c(90, 91, 90, 90, 95, 93, 93, 93,      93, 93, 93, 101, 93, 94, 90, 90, 94, 95, 94, 90), storey_order = c(2L,      1L, 4L, 4L, 1L, 2L, 2L, 6L, 2L, 1L, 4L, 1L, 2L, 4L, 2L, 5L,      2L, 5L, 4L, 5L), remaining_lease_mths = c(966, 980, 1011,      973, 968, 1132, 1136, 1132, 1135, 1125, 1142, 942, 1134,      976, 948, 998, 1076, 977, 1070, 1008), PROX_CBD = c(18.263890012402,      18.4122801485573, 18.5954829873069, 18.5353901232527, 18.0323194354466,      18.1279148711176, 18.1376577985599, 18.2305685201872, 18.1376577985599,      18.2305685201872, 18.1918996486136, 17.6460086713989, 18.2143914696608,      18.3273029006797, 17.5548574672099, 18.976831626196, 18.893500205596,      18.2449080671561, 18.9417612550563, 19.0279685600245), PROX_ELDERLYCARE = c(2.93603771613334,      3.05606256580079, 3.21245115339435, 3.18651864771223, 2.88259030935981,      2.51087611030153, 2.49441526227585, 2.5602844754638, 2.49441526227585,      2.5602844754638, 2.49884668013329, 2.69583292953839, 2.48612553786713,      2.7120525382807, 2.64072586785555, 3.28231449363414, 3.10102691254995,      2.54228790651909, 3.09832013994742, 3.26154359027314), PROX_HAWKER = c(0.135415800319106,      0.284310921582288, 0.468862715548992, 0.491879726860981,      0.459055170630849, 0.487567663506197, 0.528296501129656,      0.555435817196439, 0.528296501129656, 0.555435817196439,      0.600683099416637, 0.543702723258422, 0.65924673205969, 0.729165861663657,      0.624754154933827, 0.923592674397851, 0.926259022488312,      0.859760115655931, 0.981837341088666, 0.990561993667382),          PROX_MRT = c(0.269488316579814, 0.34633408104891, 0.485913485771313,          0.375479822529604, 0.228324090957444, 0.74928998522808,          0.789676869843372, 0.810957189319413, 0.789676869843372,          0.810957189319413, 0.859544339931905, 0.514213843772978,          0.88189566435518, 0.470919202147399, 0.605396305517498,          0.822784932057268, 0.777214903782309, 0.597257652192269,          0.831940647091921, 0.880588410111357), PROX_PARK = c(0.826451671225411,          0.872887750975024, 0.966363588730214, 1.15334089580929,          1.25712692932115, 0.317511189836545, 0.276326305891841,          0.269300347674678, 0.276326305891841, 0.269300347674678,          0.210024151789668, 0.873328686748902, 0.161329073171627,          1.51959638840156, 0.801838254358626, 1.4431849310919,          1.53153013283021, 1.66089445329223, 1.58031197441792,          1.5140651316136), PROX_GOOD_PRISCH = c(8.61262144573917,          8.76068312560123, 8.94334048589707, 8.87993213136606,          8.37645219680457, 8.49670627721454, 8.50873818737911,          8.60245346442475, 8.50873818737911, 8.60245346442475,          8.56698720173726, 7.99076792195858, 8.59299650088468,          8.6741083827629, 7.89964805631792, 9.32093903042593,          9.23793284137011, 8.59525181849715, 9.2863930262578,          9.37202430611723), PROX_MALL = c(0.374925429890344, 0.458641270318743,          0.594166870248601, 0.460655941356388, 0.12060760008054,          0.819155488013484, 0.814982856398022, 0.89702383385846,          0.814982856398022, 0.89702383385846, 0.849415447505653,          0.441435937338541, 0.861156548991099, 0.437943127987326,          0.456293365362214, 0.897736377807805, 0.833273819621717,          0.537890109309282, 0.886414086630636, 0.951179576311185         ), PROX_CHAS = c(0.0541347282504724, 0.182706372800723,          0.186588167457245, 0.165734202429707, 0.120607657412939,          0.0462043949149095, 0.0547102897319272, 0.080524556228062,          0.0547102897319272, 0.080524556228062, 0.110754204684376,          0.441435968696221, 0.170239874320939, 0.319053536773146,          0.456293399812874, 0.237819060284531, 0.143741090403558,          0.274147949012332, 0.0880613138842689, 0.184556275618948         ), PROX_SUPERMARKET = c(0.0541355525390397, 0.182706945219403,          0.195869762300225, 0.167679568764744, 0.119017844673248,          0.467157902200199, 0.504768063926141, 0.512175097136782,          0.504768063926141, 0.512175097136782, 0.565642852259794,          0.446325988440648, 0.532940464268134, 0.198027823348086,          0.425112192123464, 0.322795161753339, 0.218188374485768,          0.161035318973668, 0.175726554209016, 0.3125742651816         ), WITHIN_350M_KINDERGARTEN = c(0L, 2L, 2L, 2L, 2L, 0L,          0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 3L, 2L, 0L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(5L, 7L, 4L, 7L, 4L, 3L,          2L, 3L, 2L, 3L, 2L, 2L, 3L, 6L, 2L, 4L, 4L, 4L, 4L, 2L         ), WITHIN_350M_BUS = c(11L, 12L, 10L, 12L, 14L, 10L,          10L, 7L, 10L, 7L, 6L, 11L, 6L, 12L, 8L, 9L, 8L, 9L, 8L,          6L), WITHIN_1KM_PRISCH = c(4L, 5L, 5L, 5L, 4L, 2L, 2L,          2L, 2L, 2L, 2L, 3L, 2L, 5L, 2L, 4L, 4L, 5L, 4L, 4L),          DNeighbour = c(0, 145.84895495303, 326.081967475438,          380.864345051307, 499.040875366444, 517.046696227939,          552.935038921465, 557.793986270828, 561.74731862199,          565.131927177898, 611.871189718772, 661.853171575655,          668.244272909959, 695.380670705788, 749.79808294274,          797.785465532291, 809.725323096986, 847.380642366777,          864.522998590503, 866.351235029335)), row.names = c("548",      "722", "901", "838", "354", "461", "285", "401", "378", "770",      "600", "456", "790", "873", "514", "915", "745", "5", "932",      "570"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.944120771528896,      0.73673729128828, 0.650821771891133, 0.446483215825866, 0.414502072226113,      0.351242355269063, 0.342770995273707, 0.335901025008126,      0.330036600567468, 0.251195030915389, 0.173366547017363,      0.164063256062724, 0.126555102754919, 0.0629846930951928,      0.023110892127298, 0.0159897666934615, 0.00187616725934561,      1.7775415118461e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       528578669 
R squared (OOB):                  0.337495 

$Forests[[549]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(510000, 550000, 550000,      498000, 589000, 520000, 532000, 395000, 455000, 535000, 545000,      495000, 398000, 437000, 415000, 412000, 365000, 455000, 375000,      490000), floor_area_sqm = c(97, 98, 95, 93, 96, 93, 96, 90,      92, 93, 93, 93, 93, 93, 93, 90, 90, 93, 90, 95), storey_order = c(2L,      4L, 4L, 2L, 6L, 4L, 4L, 1L, 4L, 4L, 5L, 5L, 1L, 2L, 2L, 3L,      3L, 5L, 4L, 2L), remaining_lease_mths = c(1104, 1103, 1115,      1102, 1111, 1118, 1111, 997, 1133, 1118, 1127, 1080, 1077,      1076, 1071, 1034, 979, 1138, 986, 1111), PROX_CBD = c(13.7787547800329,      13.7784857598507, 13.9206851659757, 13.8269911518463, 13.8838492138892,      13.7912064237251, 13.8842234613226, 13.4480864429089, 13.5263069451707,      13.8964286142315, 13.8964286142315, 14.2035293519974, 14.2040057462849,      14.2040057462849, 14.2040057462849, 13.9701294998534, 13.6373310118807,      13.5153222954464, 13.5741440973944, 13.7780295697528), PROX_ELDERLYCARE = c(0.357313426679343,      0.303554199654945, 0.410984632703067, 0.272443342502121,      0.321249151015697, 0.194902312085005, 0.284905700992106,      0.38095926022983, 0.13293861465481, 0.28821019895416, 0.28821019895416,      0.685279068417721, 0.732225931930739, 0.732225931930739,      0.732225931930739, 0.798789790509628, 0.753498484846986,      0.128038783583345, 0.759293685927778, 0.24280876806526),          PROX_HAWKER = c(0.779750574682814, 0.771130061467184,          0.63246529422046, 0.718894335359525, 0.661984274687099,          0.761066408094757, 0.667389882084889, 1.11021170000921,          1.0232116664491, 0.700607063348248, 0.700607063348248,          0.384064154962602, 0.429643877236979, 0.429643877236979,          0.429643877236979, 0.796241674024292, 1.08343538740726,          1.06471945671836, 1.13978469441664, 0.855348356505915         ), PROX_MRT = c(0.373119808041594, 0.334453451125385,          0.247793554682504, 0.250191496834268, 0.202599849124069,          0.263976344610204, 0.172676244118343, 0.436627689790507,          0.529059791722705, 0.214342865325431, 0.214342865325431,          0.289240493397468, 0.339881548667158, 0.339881548667158,          0.339881548667158, 0.262922949537813, 0.0904459633140829,          0.531733722241289, 0.147719870982538, 0.290902656750774         ), PROX_PARK = c(1.07510958061046, 1.07038952907209,          0.9355470513087, 1.00953333913803, 0.953674473627188,          1.03946212768551, 0.946790994443363, 0.782217598170287,          1.00320858387115, 0.945155408432775, 0.945155408432775,          0.69423802629866, 0.735378016798131, 0.735378016798131,          0.735378016798131, 0.929619749314005, 0.802899104641211,          1.12627074536918, 0.739375101722708, 1.08412864631293         ), PROX_GOOD_PRISCH = c(4.43794264479214, 4.41640053984819,          4.55661004860153, 4.43409233459216, 4.48950135049007,          4.37243865161908, 4.46427355245829, 4.1394886986689,          4.12550653324601, 4.42474408393319, 4.42474408393319,          4.84858590291698, 4.87692111553996, 4.87692111553996,          4.87692111553996, 4.76155598853922, 4.47444600576345,          4.05859518452173, 4.41976113712118, 4.27934963146811),          PROX_MALL = c(0.579723774298741, 0.546157830895501, 0.441605558767423,          0.464449368072494, 0.415387276861254, 0.47180896375681,          0.384398044205003, 0.747053206605742, 0.734460127270614,          0.36232957329041, 0.36232957329041, 0.37351280301214,          0.458083927679449, 0.458083927679449, 0.458083927679449,          0.698652085628877, 0.719665126414215, 0.741140095950697,          0.656440732478167, 0.507308338763366), PROX_CHAS = c(0.2330532561781,          0.171232412843018, 0.230184731543739, 0.093713435160417,          0.130388475133542, 3.14247486029477e-08, 0.0936868185767241,          0.419877338676521, 0.164485608616764, 0.190952462752685,          0.190952462752685, 0.170907589664044, 0.0920652608940773,          0.0920652608940773, 0.0920652608940773, 0.224338502615803,          0.111923036871509, 0.0484693686848179, 0.175269995719201,          0.246000912873009), PROX_SUPERMARKET = c(0.233052713938452,          0.171231859107883, 0.23018467784701, 0.0937132175773042,          0.130388583033251, 8.52808058992138e-07, 0.093687407280864,          0.428569074432488, 0.265115106421715, 0.190953240917096,          0.190953240917096, 0.170908382081647, 0.0920659899308881,          0.0920659899308881, 0.0920659899308881, 0.281017798180362,          0.371011221099329, 0.321659607097496, 0.3594639622224,          0.271122867675942), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,          2L, 2L, 0L, 2L, 1L), WITHIN_350M_CHILDCARE = c(4L, 5L,          4L, 5L, 3L, 4L, 3L, 5L, 5L, 4L, 4L, 5L, 5L, 5L, 5L, 7L,          6L, 4L, 6L, 4L), WITHIN_350M_BUS = c(11L, 7L, 13L, 8L,          9L, 8L, 7L, 4L, 2L, 9L, 9L, 9L, 9L, 9L, 9L, 13L, 11L,          6L, 10L, 9L), WITHIN_1KM_PRISCH = c(8L, 6L, 5L, 5L, 5L,          5L, 5L, 7L, 6L, 5L, 5L, 5L, 5L, 5L, 5L, 8L, 8L, 5L, 9L,          6L), DNeighbour = c(0, 65.9891030282797, 150.878886549684,          154.861321062116, 176.914439758622, 230.34220751923,          246.277878111747, 328.948336299224, 338.126971250278,          412.277378791011, 415.18294304628, 430.672774259206,          440.392676466911, 442.645104511978, 443.702309620301,          447.041331336885, 459.886502504489, 474.605403349161,          488.535271956003, 505.726979977788)), row.names = c("549",      "837", "516", "376", "723", "420", "670", "655", "779", "760",      "442", "66", "448", "911", "272", "301", "660", "183", "15",      "282"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.966237917471102,      0.829908047854925, 0.821256821409795, 0.770224843649301,      0.628134470218808, 0.581943929429735, 0.332835960240281,      0.305786393488088, 0.112507091504291, 0.106289293218498,      0.0755106406787749, 0.0584130883979672, 0.054714473411463,      0.0530138917498827, 0.0477940609650335, 0.0299530060118135,      0.0142300158904938, 0.00446658355305207, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2835830965 
R squared (OOB):                  0.3632539 

$Forests[[550]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(912000, 945500, 748000,      753000, 7e+05, 685000, 680000, 8e+05, 680000, 620000, 438888,      476000, 475000, 537000, 5e+05, 375000, 688000, 355000, 407000,      510000), floor_area_sqm = c(87, 87, 107, 87, 93, 93, 91,      90, 85, 103, 80, 103, 103, 106, 103, 82, 85, 82, 82, 93),          storey_order = c(3L, 8L, 2L, 5L, 1L, 4L, 3L, 7L, 2L,          2L, 4L, 2L, 2L, 4L, 1L, 3L, 4L, 2L, 5L, 4L), remaining_lease_mths = c(1142,          1143, 899, 1104, 625, 1115, 984, 1063, 1066, 911, 601,          774, 781, 760, 773, 645, 964, 656, 661, 746), PROX_CBD = c(2.51922626320824,          2.51922626320824, 2.52364731081334, 2.5775653440094,          2.09358084499411, 2.56060478168524, 2.86455481676114,          2.97610984462207, 2.96405104980333, 2.86182045335715,          3.37234644442932, 3.09516181063763, 3.09516181063763,          3.12641734116327, 3.24578829573265, 3.68559345068932,          3.98134497452694, 3.73116287154914, 3.63085360417079,          3.46549777590634), PROX_ELDERLYCARE = c(1.25853619714168e-06,          1.25853619714168e-06, 0.132133546591398, 0.283170941801308,          0.442569764285143, 0.303984777605612, 0.111411798512938,          0.249991250520312, 0.206690358794928, 0.334062202372697,          0.401810150563083, 0.614909460801077, 0.614909460801077,          0.570344367187993, 0.461566734593474, 0.466665237090727,          0.168717999980802, 0.501456868829436, 0.233260955843543,          0.22080460703487), PROX_HAWKER = c(0.187177165934232,          0.187177165934232, 0.315417458803045, 0.447120961378381,          0.103399879312882, 0.450094806637729, 0.302651224916382,          0.405863058813757, 0.344572110572533, 0.231089093207534,          0.449139985411189, 0.524942013349153, 0.524942013349153,          0.582032517556358, 0.461305554076076, 0.28293755865871,          0.262344394473714, 0.311969910328466, 0.0974836441417274,          0.288924403117312), PROX_MRT = c(0.243725266054354, 0.243725266054354,          0.277076743329557, 0.499107329029013, 0.681532284353367,          0.546591463865751, 0.391395986196982, 0.337225216160626,          0.377919714857806, 0.819080841065402, 0.537190991659238,          1.19880844528061, 1.19880844528061, 1.19588154804183,          1.11057161001852, 1.17490863944549, 0.310254962870727,          1.10221151459309, 0.897060452829867, 0.855873415641472         ), PROX_PARK = c(0.28862748451296, 0.28862748451296,          0.163253442595557, 0.18481391877062, 0.400473707610266,          0.21329655328302, 0.399002951856213, 0.4671588721782,          0.495024008458079, 0.609617368578913, 0.408351250353425,          0.971409228458194, 0.971409228458194, 0.971029675538415,          0.856773721705297, 0.304435062988112, 0.894232249415992,          0.271761978726623, 0.512523364266062, 0.78484111030831         ), PROX_GOOD_PRISCH = c(4.50145006484821, 4.50145006484821,          4.61812725480087, 4.89009258041755, 4.81109980295855,          4.93746215949662, 4.71207116352008, 4.56048774292729,          4.62297298452196, 5.1514664212482, 3.70512913004722,          5.46565510857314, 5.46565510857314, 5.52416256345089,          5.51078547454581, 5.15997579188296, 3.868083844602, 5.22570836776045,          5.4842432173218, 5.67094725420518), PROX_MALL = c(0.244046547559164,          0.244046547559164, 0.290995843291254, 0.524781909718914,          0.685370188976197, 0.572150632107275, 0.420489734799516,          0.362094853274792, 0.404565296260845, 0.848351644608041,          0.743612757274357, 1.2281628510896, 1.2281628510896,          1.29251563056945, 1.33172083977874, 1.3376464242075,          1.18273225000282, 1.41171259857663, 1.51733094855201,          1.56665946009711), PROX_CHAS = c(0.0462846720247782,          0.0462846720247782, 0.0122221533760307, 0.0301364724824846,          0.165994533154508, 0.0640474788759872, 0.110042750971165,          0.111500209373212, 0.0506108453744785, 0.159666076311523,          0.499618186459994, 0.240903750709302, 0.240903750709302,          0.202999736112437, 0.0869328465249217, 0.216565147674259,          0.145112311632742, 0.261237260735983, 0.318203164684035,          0.173647795570322), PROX_SUPERMARKET = c(0.169442491353445,          0.169442491353445, 0.0373112013983995, 0.275738565320567,          0.346795592234613, 0.315915165677582, 0.110042446678578,          0.111500172768761, 0.0506107476035619, 0.360029455717415,          0.499617451823641, 0.240902416159861, 0.240902416159861,          0.202998478162502, 0.0869315055470345, 0.252487697752149,          0.252387257990654, 0.301923436189205, 0.318204198369299,          0.173649067116538), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L,          1L, 1L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          6L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 3L,          3L, 3L, 1L, 1L), WITHIN_350M_BUS = c(4L, 4L, 6L, 3L,          7L, 3L, 7L, 4L, 7L, 4L, 8L, 4L, 4L, 5L, 6L, 10L, 12L,          9L, 11L, 9L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L,          3L, 4L, 3L, 4L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 1L, 2L, 2L,          2L), DNeighbour = c(0, 8.11874265622326, 132.497135664571,          446.697561768967, 452.453921012432, 489.363734199613,          496.121598208796, 512.031339653686, 536.711333678263,          846.567435382733, 954.305234943395, 1238.49978913931,          1244.00121983136, 1300.89747587298, 1358.98263022842,          1463.31053007141, 1466.97980408214, 1538.8186764839,          1601.87941006267, 1611.91533832796)), row.names = c("550",      "816", "65", "999", "824", "390", "968", "319", "389", "561",      "69", "126", "134", "48", "192", "683", "375", "432", "742",      "454"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999949263841391,      0.98653244191151, 0.852304284285616, 0.84863015165162, 0.824159347285977,      0.819512084570145, 0.808373513434554, 0.790559860878034,      0.524424799467351, 0.421848012419688, 0.167815516253064,      0.16353662294341, 0.121570136967718, 0.0836404864524152,      0.030935051995852, 0.0294965102093259, 0.00785687167533482,      0.000154092839757208, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12132378640 
R squared (OOB):                  0.5905955 

$Forests[[551]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(742000, 653000, 729999,      745000, 682000, 688000, 468888, 4e+05, 480000, 535000, 5e+05,      4e+05, 360000, 478000, 5e+05, 7e+05, 413888, 363000, 649888,      533000), floor_area_sqm = c(92, 91, 100, 100, 100, 90, 92,      104, 92, 92, 91, 92, 92, 92, 91, 95, 88, 97, 87, 88), storey_order = c(7L,      2L, 6L, 10L, 10L, 6L, 3L, 4L, 3L, 3L, 1L, 3L, 2L, 4L, 2L,      3L, 2L, 4L, 3L, 1L), remaining_lease_mths = c(1104, 1121,      1122, 1122, 1120, 985, 701, 745, 692, 694, 690, 708, 719,      716, 706, 1100, 668, 701, 1103, 653), PROX_CBD = c(9.57467117229508,      9.51816518584724, 9.41601606571959, 9.28682806708392, 9.28682806708392,      9.84174458192399, 9.79963982832759, 9.4187827620762, 9.76973796844692,      9.76973796844692, 10.2183960492338, 10.1748545259067, 10.2629321739313,      9.58813304663833, 10.2657373615824, 7.97001655790022, 7.88501742637481,      12.1013944735855, 7.02256530608061, 6.92829321613491), PROX_ELDERLYCARE = c(0.0836678964153836,      0.0590206014568566, 0.14515851054369, 0.306248896776786,      0.306248896776786, 0.339166460968835, 0.390845215421192,      0.579996323717894, 0.487200680071974, 0.487200680071974,      0.670964346371623, 0.889757070081441, 1.00265829049513, 0.251441869005946,      0.519949541574078, 0.682273370470252, 0.487583248392117,      2.41403538414825, 0.467453442926814, 0.389684735109723),          PROX_HAWKER = c(0.628838904549623, 0.5145461029689, 0.552624576950901,          0.449541776391294, 0.449541776391294, 0.272020065995023,          0.315572935590663, 0.508914568418093, 0.323134910569429,          0.323134910569429, 0.161327078165055, 0.304343114187016,          0.370496257898541, 0.391674386653945, 0.527790221924738,          0.840126401207934, 0.645875214067525, 0.561617227785994,          0.207247650371579, 0.133504850959355), PROX_MRT = c(0.731513991246432,          0.689820066215858, 0.796240617220745, 0.819017740329599,          0.819017740329599, 0.348847208140378, 0.308409661615337,          1.21403827268849, 0.307725216106606, 0.307725216106606,          0.352113639571012, 1.12559589355515, 1.21137251272603,          0.707146681079003, 0.351828842975553, 0.726942522279936,          0.707952731476156, 1.71497473755306, 0.409658939160285,          0.407218977151475), PROX_PARK = c(0.402026431996325,          0.506309566114581, 0.579398729399101, 0.754667699158598,          0.754667699158598, 0.429024269124863, 0.556935587195362,          0.633868788719276, 0.692980820038259, 0.692980820038259,          0.412720152963846, 0.326884491561474, 0.429817985649402,          0.630094576064042, 0.752867192571236, 0.618444971248099,          0.511064020035708, 0.181629272169071, 0.380160428577633,          0.377410917604964), PROX_GOOD_PRISCH = c(1.37880970746963,          1.35033962190844, 1.45792936689373, 1.50498632547922,          1.50498632547922, 0.999365026226873, 0.97109568154285,          1.8319493658717, 0.945616550360875, 0.945616550360875,          0.778258345851083, 1.53712936271762, 1.58756538029025,          1.10432321767326, 0.402201611323318, 2.78644315018514,          2.82520953766913, 1.52909264222103, 2.07008813823767,          2.0639866413545), PROX_MALL = c(0.493679276753517, 0.508727078362918,          0.616886214909116, 0.732362808464395, 0.732362808464395,          0.188176716989659, 0.277854565241424, 0.308706652763352,          0.3113714109904, 0.3113714109904, 0.1993183735571, 0.493589384976364,          0.573348708551386, 0.759347764163403, 0.347570072991699,          0.66906173274608, 0.535655644340599, 1.69674818443598,          0.395390786334096, 0.352244010010256), PROX_CHAS = c(0.0836673580931749,          0.0590210156667789, 0.145158576319141, 0.30624919123722,          0.30624919123722, 0.139131199666608, 0.213793078898363,          0.308706623046814, 0.164045702260751, 0.164045702260751,          0.176868193181362, 0.118978706369709, 0.166187985395119,          0.395290416984683, 0.329846033180528, 0.195243012850588,          0.102679570293108, 0.26797195188846, 0.278446199404133,          0.180332756228222), PROX_SUPERMARKET = c(0.0769150331708007,          0.0642147642973091, 0.145877744762322, 0.309780650655361,          0.309780650655361, 0.139131268426574, 0.217115292225756,          0.31508799294366, 0.329801606095394, 0.329801606095394,          0.245740902557878, 0.371852561025965, 0.394772134126693,          0.20799335196523, 0.353445486406562, 0.169510705521186,          0.158953339299884, 0.570395350553557, 0.0888694671696128,          0.0762755382886037), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L,          1L, 1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(2L, 1L,          1L, 1L, 1L, 4L, 4L, 4L, 3L, 3L, 6L, 3L, 1L, 2L, 4L, 0L,          1L, 1L, 3L, 5L), WITHIN_350M_BUS = c(7L, 7L, 8L, 7L,          7L, 9L, 11L, 3L, 11L, 11L, 6L, 8L, 7L, 7L, 10L, 7L, 5L,          10L, 10L, 7L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L,          1L, 3L, 3L, 0L, 3L, 3L, 4L, 0L, 0L, 2L, 3L, 1L, 1L, 0L,          0L, 0L), DNeighbour = c(0, 138.229146440641, 178.337223468244,          356.29932773757, 358.382185520114, 385.675696005961,          456.654019480083, 497.730701339802, 560.450925857204,          565.615100305882, 685.594345149105, 825.884700836648,          935.05610034621, 1018.84856297185, 1078.9574658713, 1598.58680546178,          1708.63256313369, 2560.31307010579, 2691.40463600625,          2758.88733794314)), row.names = c("551", "983", "928",      "308", "794", "268", "943", "278", "926", "68", "584", "245",      "244", "640", "649", "904", "338", "40", "221", "978"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.994985635940131, 0.991660542964644, 0.96692078833678, 0.966536208520211,      0.96129721890397, 0.945956150450706, 0.93596386233191, 0.919168172359273,      0.917703800967994, 0.880305175421022, 0.828804529734554,      0.783454750354125, 0.745839148350852, 0.717498931494738,      0.441239878895493, 0.380002502823017, 0.0192576275271563,      0.00233500921291968, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4781104479 
R squared (OOB):                  0.7356141 

$Forests[[552]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 370000, 347000,      315000, 308000, 440000, 375000, 380000, 388000, 355000, 446000,      370000, 330000, 340000, 390000, 365000, 360000, 420000, 360000,      420000), floor_area_sqm = c(103, 98, 103, 84, 84, 103, 92,      102, 103, 103, 107, 104, 103, 104, 104, 107, 103, 99, 99,      90), storey_order = c(4L, 2L, 3L, 3L, 1L, 2L, 2L, 2L, 3L,      3L, 3L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 2L, 2L), remaining_lease_mths = c(768,      767, 777, 788, 795, 918, 938, 938, 935, 793, 783, 763, 800,      772, 763, 766, 777, 929, 796, 925), PROX_CBD = c(12.6612960596841,      12.6407298816561, 12.4516179583977, 13.0463978034086, 13.3304860768802,      12.1964782349865, 12.0748651503812, 12.4172252614445, 12.2384019056968,      13.46147060752, 13.1163383572019, 13.075732494377, 13.46147060752,      13.1145091682395, 13.1145091682395, 13.578535689825, 13.7231688188033,      13.2222340992065, 13.8977069202737, 12.960867808991), PROX_ELDERLYCARE = c(0.349885373003571,      0.198383641986835, 0.517665393733001, 0.612412426395362,      0.85382998667073, 0.395535007521183, 0.485644504612505, 0.466477120293287,      0.481492260541915, 1.01995663096129, 0.258125844069092, 0.206309775801723,      1.01995663096129, 0.233566729538939, 0.233566729538939, 0.535215785060316,      0.681177733621966, 0.385934705647939, 1.56746404607568, 0.579007844644764     ), PROX_HAWKER = c(1.71720286170745, 1.70233840124208, 1.97187302693261,      1.36023111372333, 1.09459947163448, 2.11269605893479, 1.97379568283644,      1.89270186421095, 2.08679181031876, 1.03983060555389, 1.23349193679857,      1.2806114078583, 1.03983060555389, 1.24018164124527, 1.24018164124527,      0.775756145922257, 0.601426993813282, 1.08380419022874, 1.04237506554324,      1.16344345150942), PROX_MRT = c(0.798149237832703, 0.712674611555213,      1.07246547116041, 0.622051877914657, 0.525688124362732, 1.03396693725809,      1.16171233055988, 0.847625669994717, 1.00400763232319, 0.367668143276235,      0.166998983475289, 0.218393806785847, 0.367668143276235,      0.402767024758649, 0.402767024758649, 0.357978123578611,      0.498221170198522, 0.503688459146237, 0.300373388684648,      0.899387073359532), PROX_PARK = c(0.722272593032778, 0.87239282209614,      0.540079114132334, 0.572775970192077, 0.620743454357064,      0.631382355736929, 0.570565135790359, 0.790049777369869,      0.617440020241687, 0.582693033366388, 1.28385310080255, 1.31516124688894,      0.582693033366388, 1.4917670023494, 1.4917670023494, 1.33984402369384,      1.26781451063295, 1.61082819122054, 0.782220037546154, 1.44660566239193     ), PROX_GOOD_PRISCH = c(2.58047246486208, 2.56532775368338,      2.37408427308534, 2.96540091825049, 3.24954726475941, 2.16851203086393,      2.03318600563725, 2.44639044951476, 2.2532718981807, 3.38131302543864,      3.10133739012884, 3.06740437701091, 3.38131302543864, 3.15473759747012,      3.15473759747012, 3.55013641033528, 3.673854441535, 3.2388029474634,      3.83525569342672, 2.82458087567675), PROX_MALL = c(0.817237002784756,      0.751522975449472, 1.09246464633101, 0.587476612974174, 0.513372166694422,      1.12036230953297, 1.24268779707958, 0.95273084922996, 1.10261213560447,      0.644549177151603, 0.281310431650798, 0.332903613799786,      0.644549177151603, 0.504156272689578, 0.504156272689578,      0.305514521023982, 0.406890039239853, 0.587950861513872,      1.14150204308926, 0.695129776671669), PROX_CHAS = c(0.248450831201433,      0.217156748290024, 0.137011223676854, 0.40513819943783, 0.472814153962233,      0.194956542036987, 0.0669716337617594, 0.132703338642494,      0.187666753228527, 0.348399033159575, 0.155371621529032,      0.122328851042638, 0.348399033159575, 0.11048408202451, 0.11048408202451,      0.282171570268124, 0.176857487498571, 0.151225190585885,      0.162936326565904, 0.341366062526918), PROX_SUPERMARKET = c(0.326739034058403,      0.217156859083098, 0.417679622168911, 0.599997973636583,      0.510727353781082, 0.242376621204914, 0.301394789473075,      0.453312253927337, 0.388917381074845, 0.356146193343619,      0.141466460051892, 0.193246634773484, 0.356146193343619,      0.362446168440829, 0.362446168440829, 0.281417393052806,      0.270532795629183, 0.459946280432931, 0.162936951836525,      0.668273194253219), WITHIN_350M_KINDERGARTEN = c(2L, 2L,      1L, 2L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 0L,      0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 4L, 3L, 2L, 4L,      4L, 2L, 3L, 2L, 3L, 4L, 4L, 3L, 6L, 6L, 4L, 4L, 5L, 4L, 1L     ), WITHIN_350M_BUS = c(12L, 10L, 9L, 7L, 5L, 9L, 9L, 9L,      10L, 6L, 9L, 10L, 6L, 7L, 7L, 10L, 8L, 8L, 5L, 2L), WITHIN_1KM_PRISCH = c(3L,      3L, 3L, 4L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L,      3L, 4L, 3L, 3L), DNeighbour = c(0, 148.081058411801, 270.331101972771,      387.73329456502, 672.722689454097, 676.112452699957, 710.289244249801,      809.692280482263, 809.998642861066, 812.210980327983, 817.729727354688,      819.046896451931, 820.479995425, 1035.51642227546, 1040.34444487688,      1125.33533900084, 1176.7491177923, 1189.36156144414, 1320.56200330157,      1423.18562743907)), row.names = c("552", "477", "851", "987",      "61", "677", "721", "296", "399", "332", "105", "929", "526",      "844", "164", "856", "960", "350", "479", "831"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.978464812747506, 0.929141381659572, 0.857061601800437,      0.603054918137992, 0.599554000543398, 0.56387350671423, 0.457407700301651,      0.457076380381079, 0.454683669895064, 0.448714123457007,      0.447289245951371, 0.445738934172054, 0.221456390618103,      0.216823743041332, 0.140451465417114, 0.100066520131058,      0.0909621060008285, 0.0193257707534324, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1427701372 
R squared (OOB):                  -0.01213103 

$Forests[[553]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(5e+05, 505000, 540000,      505000, 490000, 380000, 475000, 510000, 495000, 540000, 433000,      565000, 376000, 575000, 580000, 374000, 350000, 420000, 520000,      580000), floor_area_sqm = c(92, 92, 90, 90, 92, 92, 90, 93,      93, 93, 92, 92, 102, 92, 92, 103, 105, 93, 92, 92), storey_order = c(3L,      4L, 3L, 6L, 3L, 1L, 5L, 3L, 3L, 4L, 4L, 3L, 5L, 4L, 4L, 2L,      1L, 2L, 1L, 4L), remaining_lease_mths = c(1049, 1051, 1067,      1033, 1038, 1037, 1031, 1076, 1076, 1075, 1084, 1127, 944,      1137, 1140, 862, 837, 1099, 1138, 1134), PROX_CBD = c(11.4975151935682,      11.4388659085475, 11.5237533038112, 11.6571985599938, 11.6213283462416,      11.6419253241709, 11.780035597066, 11.734228152501, 11.7824349405223,      11.8019303594103, 11.8702915361943, 11.6525204845234, 11.9885535057438,      11.6525204845234, 11.6525204845234, 11.0478583208432, 10.9742090734032,      11.8999896789117, 11.6952918230505, 11.7494815193957), PROX_ELDERLYCARE = c(0.485429735975203,      0.529438756707198, 0.374021376468387, 0.400746835300904,      0.621923465733728, 0.626216066088841, 0.389019901488026,      0.217445500321488, 0.213047345375207, 0.184707688528033,      0.670900780040593, 0.090696724945174, 0.468647269590137,      0.090696724945174, 0.090696724945174, 0.694826263841934,      0.852070403211021, 0.790393757138983, 0.0818897866131208,      0.0736890817471424), PROX_HAWKER = c(0.320302217757218, 0.319632581294072,      0.235307086042243, 0.38372613736418, 0.537052085835962, 0.553081930127745,      0.475091880549249, 0.366555491930585, 0.411134055372247,      0.425288384889406, 0.715369360111721, 0.325622570567264,      0.661637750611862, 0.325622570567264, 0.325622570567264,      0.33156405975617, 0.487483409830997, 0.820501997631561, 0.374319678668878,      0.418792449609449), PROX_MRT = c(0.24936700359253, 0.264110896255266,      0.148196296616071, 0.187661086924798, 0.182944945438028,      0.168432978085695, 0.149757666469573, 0.276453864170284,      0.323171872402698, 0.341923672362566, 0.146531371307633,      0.219824289848129, 0.253577460439113, 0.219824289848129,      0.219824289848129, 0.413251174688675, 0.534522073584246,      0.261250382411254, 0.18359152527436, 0.183595482094196),          PROX_PARK = c(0.698336840868775, 0.653351036954048, 0.808531626238996,          0.822874314333037, 0.643411448820926, 0.654970873229416,          0.915827670442916, 1.00928973198994, 1.04913519120928,          1.09015045463689, 0.8322137924942, 1.18955170998222,          0.965214735166117, 1.18955170998222, 1.18955170998222,          0.855372307789476, 0.623434891123849, 0.813614799778521,          1.23082333360032, 1.25382465781663), PROX_GOOD_PRISCH = c(2.48345794754568,          2.45055199705462, 2.43173748992112, 2.58492752090912,          2.69528593883292, 2.71543842399088, 2.67648686403773,          2.54247396470066, 2.5757070458522, 2.57167610218627,          2.91053685401804, 2.3279627535371, 2.84793008582659,          2.3279627535371, 2.3279627535371, 1.96973866183315, 2.09882394138718,          3.00567179865442, 2.35260315569007, 2.40225451049103),          PROX_MALL = c(0.805279144871904, 0.840491697823826, 0.840908486660855,          0.718523422751835, 0.597386337892971, 0.576398809288588,          0.657761426948524, 0.781937846313192, 0.732391369928616,          0.70263709534569, 0.385092319171944, 0.807719243520252,          0.581599658792334, 0.807719243520252, 0.807719243520252,          0.400154220571097, 0.606835933426222, 0.283076960540796,          0.785373664552542, 0.730910693989521), PROX_CHAS = c(0.18789773503711,          0.210772889992189, 0.0822817354855642, 0.162236141473446,          0.130352204164602, 0.118628580179885, 0.165734916528407,          0.203102352137365, 0.182294192745256, 0.144895120017984,          0.179381733260264, 0.162428164506486, 0.0548782345589675,          0.162428164506486, 0.162428164506486, 0.193330180912365,          0.20965056306942, 0.283076936045466, 0.141926234339659,          0.105514964386053), PROX_SUPERMARKET = c(0.186124684843571,          0.189609627596398, 0.113409172087645, 0.248678179468178,          0.0679201472407272, 0.0879874709963817, 0.328761363845442,          0.206717744357565, 0.186528474083994, 0.149354766345577,          0.31749021679057, 0.158766807317564, 0.41771106664497,          0.158766807317564, 0.158766807317564, 0.392366955335671,          0.477398814511427, 0.236972988988714, 0.137537075296593,          0.100761764224213), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 8L, 6L, 6L, 9L, 8L, 8L, 7L, 9L, 4L, 6L, 4L, 4L, 2L,          2L, 7L, 4L, 5L), WITHIN_350M_BUS = c(8L, 7L, 5L, 9L,          8L, 8L, 8L, 10L, 11L, 13L, 10L, 11L, 14L, 11L, 11L, 7L,          8L, 9L, 13L, 14L), WITHIN_1KM_PRISCH = c(4L, 5L, 4L,          5L, 6L, 5L, 6L, 5L, 7L, 6L, 5L, 6L, 7L, 6L, 6L, 6L, 6L,          5L, 6L, 6L), DNeighbour = c(0, 54.6262641763822, 112.268031930954,          168.730454308734, 226.253701482738, 239.746679550396,          286.834661809678, 317.205998671007, 363.763272840073,          400.41872594333, 442.38594831556, 502.517466064143, 502.788907578187,          506.788692307254, 507.737759554544, 515.433189195696,          517.220097676618, 529.479787887512, 536.809614339654,          557.910648515924)), row.names = c("553", "271", "652",      "977", "89", "421", "263", "409", "260", "342", "110", "557",      "486", "580", "792", "694", "239", "185", "917", "281"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.980918305296432, 0.92065315266271, 0.825434808465459, 0.698125953347168,      0.664777187327784, 0.541221537798502, 0.457975502863315,      0.330490549530494, 0.235118914117312, 0.137831562785674,      0.0356136509908243, 0.0352835295690591, 0.0305780858661285,      0.0295058068762137, 0.0214553793352751, 0.0197538203286751,      0.00986489412243586, 0.00550750871304784, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2733813972 
R squared (OOB):                  0.4911221 

$Forests[[554]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 360000, 358000,      337000, 333000, 335000, 375000, 373888, 364000, 333000, 333000,      320000, 320000, 325000, 330000, 339000, 350000, 324000, 345000,      328000), floor_area_sqm = c(105, 105, 101, 105, 103, 100,      93, 93, 100, 90, 100, 100, 101, 91, 102, 102, 102, 90, 102,      92), storey_order = c(1L, 3L, 3L, 1L, 1L, 4L, 5L, 5L, 2L,      2L, 4L, 4L, 1L, 2L, 1L, 3L, 4L, 4L, 2L, 3L), remaining_lease_mths = c(956,      960, 960, 947, 953, 930, 993, 990, 921, 1009, 928, 930, 924,      970, 911, 923, 923, 929, 927, 923), PROX_CBD = c(17.6472423100513,      17.6410789876396, 17.5852868111176, 17.5852868111176, 17.7412802518209,      17.9186379864086, 17.8363687874637, 17.8363687874637, 17.9386403893839,      17.8072819651564, 18.2095446148373, 18.242108360018, 18.0902268845521,      17.7083177660008, 18.2320763538069, 17.9456645257603, 18.0569924715364,      18.3448727328387, 18.2868848905217, 17.049182232397), PROX_ELDERLYCARE = c(1.0260991137238,      0.969292416022308, 0.979721953613503, 0.979721953613503,      1.00357172816211, 1.13507400842797, 1.40920769604983, 1.40920769604983,      0.714833653499633, 1.52664538751384, 1.17430183890643, 1.08331104464233,      0.706169610995159, 0.378187975507624, 0.927534095024191,      0.476454782767532, 0.59750504274373, 1.12000720290482, 0.896456720381782,      0.850080656271298), PROX_HAWKER = c(0.322354465675231, 0.270187519380927,      0.300047945510982, 0.300047945510982, 0.286367973105455,      0.435091735724103, 0.692541487012902, 0.692541487012902,      0.201936965562497, 0.809141875883089, 0.579651089601917,      0.548257960059823, 0.370412154176866, 0.340346390827249,      0.493410913505403, 0.3648710200987, 0.391180253405874, 0.636376603494217,      0.547085889030319, 0.714958983882519), PROX_MRT = c(0.296963624455722,      0.253083991654003, 0.294966346549802, 0.294966346549802,      0.240079810641839, 0.364011265623101, 0.634260663268818,      0.634260663268818, 0.168914117564514, 0.753928873695942,      0.501132314022455, 0.47401652613315, 0.341202563029131, 0.403335562748004,      0.433316978327494, 0.385567417899789, 0.384524332485438,      0.565211037998289, 0.495991449430539, 0.785333186388227),          PROX_PARK = c(2.2163258228061, 2.26013213847351, 2.22462050149276,          2.22462050149276, 2.28949331488756, 2.31505119222808,          2.04440878541867, 2.04440878541867, 1.99379565561889,          1.93736074272598, 2.25371860749481, 2.12857307310705,          1.8531048262974, 1.86766019581863, 1.96114614265628,          1.76180373116006, 1.77011013021076, 2.08056453235766,          1.86697967968657, 2.39009267562017), PROX_GOOD_PRISCH = c(8.10862356805264,          8.10977708422392, 8.05369522760851, 8.05369522760851,          8.20478390995202, 8.3676789538936, 8.25468587074647,          8.25468587074647, 8.4444135457925, 8.21423979230025,          8.6635222339794, 8.71021480286832, 8.60631027953587,          8.26299778187914, 8.72297519828522, 8.49089982759618,          8.58956131155308, 8.81498363377987, 8.78822500750919,          7.5878538843241), PROX_MALL = c(0.255877276101632, 0.204458422444813,          0.237472256939882, 0.237472256939882, 0.222110908162432,          0.384238747959315, 0.630636123898788, 0.630636123898788,          0.238372860218233, 0.745769461616378, 0.468966497593582,          0.347669457974494, 0.342860958869265, 0.335143296665789,          0.22704735136933, 0.428159644756295, 0.407254736414821,          0.284195187673565, 0.1450338527091, 0.718658142186859         ), PROX_CHAS = c(0.212266026856788, 0.201289943337815,          0.145295883687343, 0.145295883687343, 0.222110881748482,          0.360842629752134, 0.221589023831152, 0.221589023831152,          0.076984763134016, 0.195830090979757, 0.3998394205418,          0.274735402884708, 0.209799590563819, 0.30242004444134,          0.11607611654581, 0.218909691095897, 0.222103720735081,          0.24769320941352, 0.0217240252323136, 0.13498084818294         ), PROX_SUPERMARKET = c(0.255876154174577, 0.204457160029983,          0.237470779768967, 0.237470779768967, 0.222110358133712,          0.360842909613722, 0.22158921197453, 0.22158921197453,          0.171190500184261, 0.265666518411173, 0.402574253870019,          0.347668959247477, 0.342860053820009, 0.332189289926598,          0.227046556279957, 0.365864675212809, 0.385535197909366,          0.284194910851331, 0.145032957963293, 0.397684558683682         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 1L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 5L, 5L, 5L, 1L,          3L, 3L, 6L, 2L, 2L, 3L, 6L, 6L, 5L, 3L, 4L, 5L, 7L, 12L         ), WITHIN_350M_BUS = c(13L, 15L, 15L, 15L, 16L, 11L,          6L, 6L, 8L, 4L, 8L, 7L, 7L, 7L, 10L, 8L, 9L, 8L, 9L,          8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 3L, 3L,          3L, 5L, 3L, 4L, 4L, 5L, 5L, 4L, 6L, 6L, 4L, 4L, 2L),          DNeighbour = c(0, 55.0159854035643, 77.5505652827712,          82.1314963015359, 96.9587449902746, 288.297562345864,          417.112166954546, 426.740213085387, 458.491438990829,          523.134866992223, 567.796057674944, 609.126300329448,          623.015564425667, 643.992056528782, 645.040417642441,          677.112976734717, 683.689425765179, 710.025004127106,          728.527759901333, 766.350685009901)), row.names = c("554",      "615", "224", "800", "242", "590", "118", "391", "638", "358",      "243", "608", "74", "544", "443", "20", "491", "512", "787",      "520"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98971907661554,      0.979624163118339, 0.977160160442471, 0.968241576587343,      0.736982863283373, 0.495271496158914, 0.475991296752363,      0.412244083054197, 0.285171680302761, 0.203449687111318,      0.135592686014589, 0.114981646160759, 0.0863392628483848,      0.0849923173755021, 0.0481058982072018, 0.0416537269425589,      0.0200491733725274, 0.00926854974782722, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       213153654 
R squared (OOB):                  0.2608562 

$Forests[[555]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 412000, 428000,      395000, 375000, 390000, 342000, 390000, 455000, 415000, 4e+05,      537000, 495000, 518000, 483000, 535000, 5e+05, 553000, 425000,      520000), floor_area_sqm = c(104, 104, 112, 104, 104, 105,      105, 105, 112, 106, 104, 93, 93, 93, 93, 93, 93, 93, 104,      93), storey_order = c(2L, 3L, 1L, 2L, 1L, 3L, 1L, 3L, 1L,      3L, 3L, 4L, 2L, 2L, 2L, 3L, 3L, 4L, 3L, 3L), remaining_lease_mths = c(906,      891, 892, 905, 919, 921, 904, 911, 896, 919, 903, 1128, 1131,      1132, 1129, 1131, 1131, 1134, 871, 1133), PROX_CBD = c(14.1961571609712,      14.1568072460962, 13.9733994982273, 13.6654936015449, 13.4266027498608,      13.4627621473458, 13.3769343120963, 13.3796709379934, 14.0913802169285,      13.4239402990732, 13.3287778793447, 14.1022978560303, 14.1234549986629,      14.0392008059995, 13.9851487819813, 13.9851487819813, 13.8777465201196,      13.8021184722805, 14.0236082538335, 13.7835124985007), PROX_ELDERLYCARE = c(2.56528175499621,      2.56669577269824, 2.73602573538322, 2.4559089786438, 2.17127601573547,      2.3602438602499, 2.13793612643937, 2.22474645739358, 1.71411655426264,      2.35754914737924, 2.1917657327852, 1.39999761805574, 1.35242241046818,      1.32747908409073, 1.27246652758392, 1.27246652758392, 1.14875617578224,      1.08391670289184, 1.09340394122649, 1.04590518035641), PROX_HAWKER = c(1.37564916931309,      1.398882753411, 1.72752929984142, 1.8007485076056, 1.79623369603986,      1.98731518790586, 1.83400406292357, 1.93918128958002, 0.659732742059419,      2.04148614266885, 1.97547555130032, 0.488105393549706, 0.458626901673037,      0.543253862226502, 0.59565400543288, 0.59565400543288, 0.709523473368326,      0.792084042786722, 0.594999289424802, 0.817574416707151),          PROX_MRT = c(1.19597144129318, 1.21408476422274, 1.52912572857094,          1.57537750219681, 1.55284801629317, 1.75308710953532,          1.58891799000297, 1.69795623670388, 0.410797330392975,          1.80644454579453, 1.73242783606755, 0.255700458734308,          0.250036690549804, 0.327704984287647, 0.390641440388092,          0.390641440388092, 0.526263367583387, 0.615458599020507,          0.469886084443941, 0.648112836468654), PROX_PARK = c(0.541272645896965,          0.574460502508352, 0.916601452818718, 0.850306194456086,          0.713305409065456, 0.956537089868377, 0.736187117229036,          0.863182736105437, 0.524242894978874, 1.00169815399328,          0.88512129863374, 0.52092144022497, 0.469588575534173,          0.547177414231792, 0.580591669210194, 0.580591669210194,          0.548712671125698, 0.476945111703218, 0.504422356794811,          0.438074957540257), PROX_GOOD_PRISCH = c(3.39040053008466,          3.36750863472211, 3.4114102230046, 3.15584859653876,          2.87807351257242, 3.09165556928148, 2.85157742620146,          2.95323290488506, 2.83541955823977, 3.09662994187342,          2.92650083991791, 2.69832814229385, 2.69456588548322,          2.61966269686357, 2.55482099432271, 2.55482099432271,          2.41902859908312, 2.33081910479479, 2.51794344218072,          2.3007469286795), PROX_MALL = c(0.270320025824244, 0.280844166366742,          0.596418817267466, 0.710058429219954, 0.808973697710999,          0.924666219790251, 0.857746498744393, 0.921202261186462,          0.471401908473598, 0.980263777031476, 0.968339604524727,          0.257523814996123, 0.232476208076891, 0.316340524018432,          0.37312896686832, 0.37312896686832, 0.498678106329343,          0.585717052475653, 0.418819234777705, 0.615576551193732         ), PROX_CHAS = c(0.176758267598596, 0.192284580165596,          0.126775582068521, 0.111974276762728, 0.374720545025774,          0.335494764547789, 0.418304503654494, 0.396028378293497,          0.471401941314913, 0.386919516068906, 0.447143544638255,          0.177701329016163, 0.147334233235439, 0.101753514952091,          0.0604900109870272, 0.0604900109870272, 0.133705064347241,          0.221659659627321, 0.151261605672147, 0.253975316505048         ), PROX_SUPERMARKET = c(0.176759883249677, 0.192285941870899,          0.159712105919183, 0.207177695926551, 0.196965153344936,          0.370560193975877, 0.224617478786604, 0.347107460725314,          0.471402360745676, 0.409344743904916, 0.37251565902947,          0.177702101069216, 0.147334782275979, 0.101754383553332,          0.0604908810371704, 0.0604908810371704, 0.133704798830233,          0.221659301316653, 0.151260689076964, 0.253974877653299         ), WITHIN_350M_KINDERGARTEN = c(3L, 3L, 5L, 1L, 1L, 1L,          1L, 0L, 2L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 2L, 3L, 1L, 2L,          1L, 1L, 1L, 1L, 1L, 4L, 4L, 4L, 3L, 3L, 2L, 2L, 4L, 2L         ), WITHIN_350M_BUS = c(9L, 9L, 10L, 12L, 7L, 7L, 5L,          8L, 12L, 7L, 6L, 11L, 13L, 10L, 8L, 8L, 8L, 5L, 12L,          6L), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L),          DNeighbour = c(0, 46.078952873417, 380.758475455235,          587.242576638661, 775.966599395638, 821.186366518579,          827.271594029393, 853.32311322632, 866.398857366838,          869.395560767381, 908.843986832833, 1210.72750197235,          1264.21298410671, 1265.81201358772, 1304.98894115521,          1310.78513730881, 1416.60860778063, 1480.42545350265,          1510.65756653167, 1520.59424948767)), row.names = c("555",      "933", "119", "302", "818", "155", "965", "222", "352", "38",      "949", "815", "212", "218", "938", "819", "579", "275", "51",      "380"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998164268917067,      0.878529955697202, 0.723954415049244, 0.546991850701283,      0.501764676559824, 0.495637278915761, 0.469334518953532,      0.45610403707853, 0.45307047155929, 0.413148974260184, 0.133980717399104,      0.0953475361559326, 0.0942700612603709, 0.0694195381583618,      0.0660072210340243, 0.017448627106674, 0.0027180781999233,      0.000169696749558849, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2066974357 
R squared (OOB):                  0.4956644 

$Forests[[556]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(327000, 313000, 315000,      318000, 358000, 355000, 402000, 370000, 320000, 302500, 275000,      310000, 340000, 308000, 310000, 387008, 355000, 355000, 418000,      315000), floor_area_sqm = c(84, 84, 104, 84, 91, 104, 93,      93, 93, 93, 84, 96, 91, 84, 84, 97, 93, 104, 104, 91), storey_order = c(1L,      4L, 4L, 1L, 1L, 4L, 4L, 1L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, 2L,      4L, 2L, 1L, 3L), remaining_lease_mths = c(802, 772, 777,      785, 760, 814, 762, 782, 762, 764, 807, 772, 782, 779, 787,      775, 761, 785, 794, 774), PROX_CBD = c(15.395293903354, 15.5029529482698,      15.5029529482698, 15.4237712873611, 15.6053010835868, 14.9797222810306,      15.8715793299193, 15.9422949327985, 15.7384939989151, 15.7384939989151,      15.555826242216, 16.0124832316584, 16.0688727275577, 14.8104288104214,      14.7686155241139, 15.8742411347238, 16.1297617902268, 14.7946380504301,      14.6249352309891, 16.1626205207603), PROX_ELDERLYCARE = c(1.48326161455178,      1.60634233373903, 1.60634233373903, 1.66429806880172, 1.18278326755006,      1.40865121451131, 1.28212929908789, 1.09392979000114, 1.81389464514152,      1.81389464514152, 1.98144426857027, 1.41328722649904, 1.20623153653763,      1.14385816982861, 1.18091019396193, 0.784609866943175, 1.29938230642316,      1.02543356664281, 1.66362706878828, 1.55788424655444), PROX_HAWKER = c(0.763118949388798,      0.592613874358246, 0.592613874358246, 0.663653920640621,      0.745618024005524, 1.17708155532767, 0.428166805124, 0.571238530927929,      0.367446283592148, 0.367446283592148, 0.587918588004233,      0.231474226543029, 0.426544691499688, 1.03493347869974, 1.07995965555937,      0.921851461637316, 0.335840869363962, 0.927587772885235,      1.46189875323845, 0.113648031708615), PROX_MRT = c(0.486709870425329,      0.579811001445256, 0.579811001445256, 0.641519249244255,      0.180817781363956, 0.541117453484526, 0.326170963259121,      0.22642613478059, 0.817431272071058, 0.817431272071058, 0.961984472446029,      0.526610558032509, 0.406145228037129, 0.547659244513397,      0.495669019430354, 0.243577544220952, 0.514969181151661,      0.635923545376501, 0.177135615746217, 0.733071345608223),          PROX_PARK = c(0.736647900507106, 0.518465718930498, 0.518465718930498,          0.527546900647844, 0.580682002012541, 0.869949400509587,          0.729541055973412, 0.749126986336644, 0.197322246351151,          0.197322246351151, 0.155244626205508, 0.641040622161513,          0.697314652170583, 0.79060261488636, 0.837021679605882,          0.457440234531046, 0.709135847201637, 0.687013904416796,          0.967683324465338, 0.622244080025509), PROX_GOOD_PRISCH = c(5.79164197089728,          5.8805780078001, 5.8805780078001, 5.79932453842233, 6.02648848177283,          5.38873705701154, 6.26806838260706, 6.35759010380229,          6.09593783675615, 6.09593783675615, 5.90755023148013,          6.39414010271149, 6.46919552361138, 5.2589313064801,          5.21242267662931, 6.33578781760894, 6.52049985370614,          5.2635668385575, 5.00900650468442, 6.53246509089368),          PROX_MALL = c(0.561468969675593, 0.667352945771092, 0.667352945771092,          0.726704111983395, 0.252610517585887, 0.857174016474006,          0.405953132327172, 0.275355858531219, 0.906877360376741,          0.906877360376741, 1.05229171505891, 0.598952481573277,          0.45653839484425, 0.641907311269237, 0.644074766251318,          0.159478773824134, 0.568960814514176, 0.540570027720398,          1.02277508016934, 0.800586392071248), PROX_CHAS = c(0.1019571402223,          0.128101303359069, 0.128101303359069, 0.11942955396425,          0.0925674017483885, 0.0593781975043205, 0.170717118999449,          0.101928728560798, 0.184740133551779, 0.184740133551779,          0.0651877268759985, 0.191204296760245, 0.123235071398074,          0.273160540123658, 0.305551557127515, 0.159478805927642,          0.215228497760129, 0.151656769473437, 0.253202817693943,          0.107377285719627), PROX_SUPERMARKET = c(0.0953919744611677,          0.314517101025506, 0.314517101025506, 0.307102160965552,          0.188530812320699, 0.101389584423307, 0.323117190327721,          0.218983947734938, 0.287892528450529, 0.287892528450529,          0.511049564140858, 0.214004200599592, 0.399183655269817,          0.406551385550075, 0.397697747354111, 0.159478664733051,          0.353026966783941, 0.505826018716947, 0.177136085505812,          0.191669323632479), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 0L, 1L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 1L,          0L, 1L, 1L, 1L, 3L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 3L, 5L, 3L, 2L, 2L, 7L, 7L, 6L, 4L, 3L, 2L, 3L, 5L,          3L, 5L, 1L, 5L), WITHIN_350M_BUS = c(9L, 10L, 10L, 11L,          10L, 10L, 8L, 8L, 10L, 10L, 7L, 8L, 9L, 7L, 8L, 8L, 8L,          8L, 9L, 9L), WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 4L, 4L,          4L, 4L, 4L, 3L, 3L, 1L, 4L, 4L, 4L, 3L, 6L, 4L, 3L, 2L,          4L), DNeighbour = c(0, 217.301202230233, 217.840478399143,          217.99082583583, 309.292769927528, 424.160282860381,          476.81591203354, 582.314250777561, 588.507875968305,          593.498483299344, 625.015969624838, 630.560257683386,          675.343010299403, 682.726323279632, 699.965158687289,          722.571919393948, 729.522141152568, 765.345443916709,          784.36976657584, 817.791384560538)), row.names = c("556",      "587", "162", "293", "143", "984", "294", "708", "803", "437",      "426", "740", "804", "396", "101", "83", "184", "424", "30",      "335"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.863773936154672,      0.863121850108842, 0.862939807715334, 0.734382150539892,      0.534340481463325, 0.435664584144788, 0.243023888421866,      0.232450781559837, 0.224023398165734, 0.17296166766123, 0.164412188678722,      0.101144592675507, 0.0918328718604246, 0.0715019749687919,      0.0480980732638992, 0.0417066519926295, 0.0154131192462383,      0.00641057833652323, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       932454667 
R squared (OOB):                  0.3029316 

$Forests[[557]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(565000, 575000, 580000,      520000, 548888, 580000, 540000, 510000, 495000, 380000, 540000,      403500, 505000, 475000, 5e+05, 505000, 376000, 374000, 490000,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 93,      93, 90, 90, 90, 90, 90, 92, 92, 102, 103, 92, 92), storey_order = c(3L,      4L, 4L, 1L, 2L, 4L, 4L, 3L, 3L, 4L, 3L, 5L, 6L, 5L, 3L, 4L,      5L, 2L, 3L, 1L), remaining_lease_mths = c(1127, 1137, 1140,      1138, 1130, 1134, 1075, 1076, 1076, 973, 1067, 965, 1033,      1031, 1049, 1051, 944, 862, 1038, 1037), PROX_CBD = c(11.6525204845234,      11.6525204845234, 11.6525204845234, 11.6952918230505, 11.7494815193957,      11.7494815193957, 11.8019303594103, 11.734228152501, 11.7824349405223,      11.9491294576901, 11.5237533038112, 12.0682850666201, 11.6571985599938,      11.780035597066, 11.4975151935682, 11.4388659085475, 11.9885535057438,      11.0478583208432, 11.6213283462416, 11.6419253241709), PROX_ELDERLYCARE = c(0.090696724945174,      0.090696724945174, 0.090696724945174, 0.0818897866131208,      0.0736890817471424, 0.0736890817471424, 0.184707688528033,      0.217445500321488, 0.213047345375207, 0.351349913726565,      0.374021376468387, 0.36227142211874, 0.400746835300904, 0.389019901488026,      0.485429735975203, 0.529438756707198, 0.468647269590137,      0.694826263841934, 0.621923465733728, 0.626216066088841),          PROX_HAWKER = c(0.325622570567264, 0.325622570567264,          0.325622570567264, 0.374319678668878, 0.418792449609449,          0.418792449609449, 0.425288384889406, 0.366555491930585,          0.411134055372247, 0.693645859237657, 0.235307086042243,          0.732401821736703, 0.38372613736418, 0.475091880549249,          0.320302217757218, 0.319632581294072, 0.661637750611862,          0.33156405975617, 0.537052085835962, 0.553081930127745         ), PROX_MRT = c(0.219824289848129, 0.219824289848129,          0.219824289848129, 0.18359152527436, 0.183595482094196,          0.183595482094196, 0.341923672362566, 0.276453864170284,          0.323171872402698, 0.207404211118571, 0.148196296616071,          0.353072027979069, 0.187661086924798, 0.149757666469573,          0.24936700359253, 0.264110896255266, 0.253577460439113,          0.413251174688675, 0.182944945438028, 0.168432978085695         ), PROX_PARK = c(1.18955170998222, 1.18955170998222,          1.18955170998222, 1.23082333360032, 1.25382465781663,          1.25382465781663, 1.09015045463689, 1.00928973198994,          1.04913519120928, 1.42337349535551, 0.808531626238996,          1.2554933111164, 0.822874314333037, 0.915827670442916,          0.698336840868775, 0.653351036954048, 0.965214735166117,          0.855372307789476, 0.643411448820926, 0.654970873229416         ), PROX_GOOD_PRISCH = c(2.3279627535371, 2.3279627535371,          2.3279627535371, 2.35260315569007, 2.40225451049103,          2.40225451049103, 2.57167610218627, 2.54247396470066,          2.5757070458522, 2.48771655129493, 2.43173748992112,          2.66094910730305, 2.58492752090912, 2.67648686403773,          2.48345794754568, 2.45055199705462, 2.84793008582659,          1.96973866183315, 2.69528593883292, 2.71543842399088),          PROX_MALL = c(0.807719243520252, 0.807719243520252, 0.807719243520252,          0.785373664552542, 0.730910693989521, 0.730910693989521,          0.70263709534569, 0.781937846313192, 0.732391369928616,          0.591401580344059, 0.840908486660855, 0.424043071559413,          0.718523422751835, 0.657761426948524, 0.805279144871904,          0.840491697823826, 0.581599658792334, 0.400154220571097,          0.597386337892971, 0.576398809288588), PROX_CHAS = c(0.162428164506486,          0.162428164506486, 0.162428164506486, 0.141926234339659,          0.105514964386053, 0.105514964386053, 0.144895120017984,          0.203102352137365, 0.182294192745256, 0.136369833447508,          0.0822817354855642, 0.0850792531740411, 0.162236141473446,          0.165734916528407, 0.18789773503711, 0.210772889992189,          0.0548782345589675, 0.193330180912365, 0.130352204164602,          0.118628580179885), PROX_SUPERMARKET = c(0.158766807317564,          0.158766807317564, 0.158766807317564, 0.137537075296593,          0.100761764224213, 0.100761764224213, 0.149354766345577,          0.206717744357565, 0.186528474083994, 0.234851160706955,          0.113409172087645, 0.0850782630125017, 0.248678179468178,          0.328761363845442, 0.186124684843571, 0.189609627596398,          0.41771106664497, 0.392366955335671, 0.0679201472407272,          0.0879874709963817), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 5L, 5L, 7L, 8L, 8L, 6L, 4L, 5L, 8L, 9L, 4L, 4L,          6L, 2L, 6L, 6L), WITHIN_350M_BUS = c(11L, 11L, 11L, 13L,          14L, 14L, 13L, 10L, 11L, 12L, 5L, 12L, 9L, 8L, 8L, 7L,          14L, 7L, 8L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 6L, 6L,          6L, 6L, 6L, 5L, 7L, 7L, 4L, 7L, 5L, 6L, 4L, 5L, 7L, 6L,          6L, 5L), DNeighbour = c(0, 5.65933851728524, 6.97533176882199,          42.1918970664914, 98.4697181318636, 99.1077678367973,          264.98643969522, 276.527716030359, 288.419054263953,          363.696746642324, 390.323465757202, 415.476271388506,          448.620302641761, 452.114134603743, 502.517466064143,          535.590357858236, 555.753503475916, 638.982119346963,          664.68644317409, 665.463625950935)), row.names = c("557",      "580", "792", "917", "808", "281", "342", "409", "260", "175",      "652", "860", "977", "263", "553", "271", "486", "694", "89",      "421"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999855357143149,      0.99978027107522, 0.991976466311231, 0.956688227668774, 0.95613143266477,      0.708018189853342, 0.684467165839443, 0.659596015803005,      0.491826546490271, 0.430292106501684, 0.372341879858019,      0.297598432626742, 0.289895475422988, 0.184698171614052,      0.124070149700662, 0.0915338830075859, 0.00608471347258305,      5.44942060797993e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2388638684 
R squared (OOB):                  0.5352948 

$Forests[[558]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(368000, 370000, 4e+05,      350000, 368888, 385000, 375000, 395000, 340000, 390000, 350000,      331000, 380000, 350000, 310000, 350000, 412000, 390000, 568000,      380000), floor_area_sqm = c(92, 92, 96, 92, 92, 92, 92, 93,      92, 93, 93, 107, 93, 92, 104, 104, 92, 92, 92, 92), storey_order = c(2L,      1L, 2L, 1L, 2L, 3L, 1L, 4L, 2L, 3L, 1L, 2L, 3L, 1L, 3L, 3L,      3L, 4L, 4L, 2L), remaining_lease_mths = c(1100, 1090, 1098,      1111, 1102, 1132, 1139, 1108, 1133, 1113, 1111, 869, 1110,      1131, 869, 812, 1128, 1142, 1117, 1142), PROX_CBD = c(14.9752079088984,      15.0414874321427, 15.0414874321427, 14.8482953663728, 14.8482953663728,      14.9536689261967, 14.8395197777251, 14.6649260398624, 14.8395197777251,      14.6879879340018, 14.6221320584002, 15.2221855529023, 14.607628567626,      14.6346875310408, 15.2437764157418, 14.8739209120931, 14.5596883563906,      14.5596883563906, 15.3987887594526, 14.4940333615496), PROX_ELDERLYCARE = c(0.199763345782594,      0.180026828914976, 0.180026828914976, 0.157028625587627,      0.157028625587627, 1.13414610370389e-06, 0.143171284390361,      0.374463671675583, 0.143171284390361, 0.267910637295867,      0.410896008057539, 0.277621781700774, 0.363539264939185,      0.318998242024868, 0.313986883487753, 0.224374856243457,      0.399519357429504, 0.399519357429504, 0.578356799737993,      0.500918112427577), PROX_HAWKER = c(0.202333554334061, 0.135868389364205,      0.135868389364205, 0.332945546865787, 0.332945546865787,      0.283688306330561, 0.426817039061835, 0.515424723672587,      0.426817039061835, 0.507741768149319, 0.55845452984231, 0.252887916114098,      0.571839614015762, 0.567748890704442, 0.306302732963744,      0.490895901627697, 0.625641729464286, 0.625641729464286,      0.294909248784724, 0.682637638745144), PROX_MRT = c(1.27457972333389,      1.27219969611937, 1.27219969611937, 1.41585626072206, 1.41585626072206,      1.45204946878565, 1.58589972239689, 1.31347134818138, 1.58589972239689,      1.51619569366002, 1.30119397664661, 1.3991563615676, 1.42703012637354,      1.53691575721219, 1.43926724244883, 1.67344316225132, 1.46473462254762,      1.46473462254762, 0.921278705332003, 1.32800225952209), PROX_PARK = c(0.259935562114549,      0.270313948020077, 0.270313948020077, 0.40224168015695, 0.40224168015695,      0.447466290733612, 0.573834160005083, 0.48594234877488, 0.573834160005083,      0.573128508978659, 0.524601749565547, 0.500874596291267,      0.592644125813336, 0.633519966923, 0.554495921895103, 0.671840643384197,      0.656743209310805, 0.656743209310805, 0.283836897691409,      0.65941869562705), PROX_GOOD_PRISCH = c(5.6171537261999,      5.69200203864946, 5.69200203864946, 5.51627049340211, 5.51627049340211,      5.64958645026222, 5.56483468018996, 5.30673314037113, 5.56483468018996,      5.38500296681299, 5.26427170666348, 5.9271396376627, 5.28617698570013,      5.34297669438126, 5.96162295702861, 5.63420261242257, 5.25302892838613,      5.25302892838613, 5.98797030068414, 5.15263130971644), PROX_MALL = c(0.689421511186311,      0.767711199656331, 0.767711199656331, 0.649229394533883,      0.649229394533883, 0.806257336881612, 0.805396060532061,      0.439421746266814, 0.805396060532061, 0.626246838364162,      0.412850725186958, 1.02106462402642, 0.523782484457491, 0.633302242537752,      1.03199787585398, 0.927972955155417, 0.550646738699849, 0.550646738699849,      0.692287086677849, 0.407798057490129), PROX_CHAS = c(0.230775629929228,      0.163757574589084, 0.163757574589084, 0.274130336331615,      0.274130336331615, 0.14456617920399, 0.204546662914522, 0.0969357032130768,      0.204546662914522, 0.160113448728027, 0.0938393111767789,      0.0544459444778504, 0.198893245072118, 0.120955806912261,      4.60754704120663e-08, 0.25243947150411, 0.19650938121062,      0.19650938121062, 0.0335692412129841, 0.0559452214520875),          PROX_SUPERMARKET = c(0.264202614673064, 0.197268674737732,          0.197268674737732, 0.296829834724774, 0.296829834724774,          0.16127040484797, 0.280088374069707, 0.0969351949685631,          0.280088374069707, 0.300165340388346, 0.0938384818523742,          0.0768892314501321, 0.223766299699327, 0.327836032489634,          0.0947293086454089, 0.298947211163532, 0.27843134046436,          0.27843134046436, 0.352133387221186, 0.202112654374605         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 5L, 5L, 7L,          5L, 6L, 5L, 6L, 6L, 5L, 4L, 6L, 4L, 3L, 3L, 3L, 1L, 4L         ), WITHIN_350M_BUS = c(9L, 9L, 9L, 9L, 9L, 6L, 5L, 8L,          5L, 7L, 9L, 8L, 7L, 8L, 8L, 6L, 7L, 7L, 6L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 4L, 4L, 3L, 3L, 4L, 3L, 4L, 4L, 3L, 4L, 4L, 3L,          3L, 4L, 4L, 4L, 3L), DNeighbour = c(0, 77.6648931563156,          79.8548455612063, 157.83999796903, 158.995363503303,          202.16281249363, 316.048094137138, 316.552872702964,          317.677597304641, 333.670357611623, 358.029900896056,          365.510275784216, 378.920729106562, 398.944250370534,          414.887851294766, 421.567686593905, 441.134484425182,          442.315191794997, 447.508327987194, 481.307962809943)), row.names = c("558",      "793", "632", "762", "195", "139", "152", "17", "543", "469",      "324", "679", "452", "583", "578", "602", "961", "163", "714",      "702"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.948602470040713,      0.945704035066143, 0.796476892391105, 0.79365890597213, 0.678278241581595,      0.323554328966224, 0.321988076637821, 0.318502961557672,      0.269770159698359, 0.199504657823492, 0.179179363250757,      0.144553056644425, 0.0979476208995991, 0.0660256729048981,      0.0542123390816164, 0.0255897029364207, 0.0241693869841713,      0.0183650230285929, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2666214106 
R squared (OOB):                  -0.01229865 

$Forests[[559]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(625000, 418000, 411000,      423000, 350000, 355000, 410000, 430000, 485000, 420000, 385000,      399000, 365000, 390000, 415000, 395000, 380000, 440000, 420000,      425000), floor_area_sqm = c(94, 84, 104, 104, 84, 84, 84,      104, 104, 103, 102, 102, 103, 109, 108, 103, 105, 104, 105,      104), storey_order = c(3L, 3L, 1L, 2L, 2L, 3L, 4L, 1L, 3L,      2L, 3L, 3L, 1L, 1L, 3L, 4L, 1L, 3L, 2L, 3L), remaining_lease_mths = c(1085,      821, 806, 827, 806, 804, 814, 805, 823, 757, 755, 766, 757,      908, 904, 772, 775, 752, 787, 747), PROX_CBD = c(13.3230141016287,      13.3325431063631, 13.1755942624772, 13.4971436153267, 13.3385512116162,      13.01786092695, 12.8927390133383, 12.514948085948, 12.533007335037,      13.2614515751509, 13.2614515751509, 13.0078000734933, 13.0970803497533,      13.9032473641583, 13.7944980809676, 13.1724132817366, 12.8173662852819,      13.1913836000948, 12.7549887608908, 12.4246534304877), PROX_ELDERLYCARE = c(1.40693910044933,      1.22529955141455, 1.08363260419178, 1.36472832701396, 1.09997831443452,      0.807586217367385, 0.702153634905252, 0.754587815834464,      0.635175801858358, 0.99636081833896, 0.99636081833896, 0.748101088186933,      0.830352740740998, 1.01451296282065, 0.91518434198946, 0.906244923447749,      0.548539301056628, 0.779182108791446, 0.556485595404089,      0.223353489993969), PROX_HAWKER = c(1.58753442345041, 1.40113048988486,      1.26154745049637, 1.53740682378418, 1.2578245237404, 0.976719939584195,      0.876276656944215, 0.918952349521139, 0.80610763907972, 1.14030290242306,      1.14030290242306, 0.90031621758677, 0.973651338137405, 1.79397933605035,      1.66782294138278, 1.03184370064912, 0.687183343617196, 1.05769292681279,      0.627642822312809, 0.283538945902673), PROX_MRT = c(0.336472807994142,      0.481797794839233, 0.324849533681113, 0.586728597341744,      0.602718547061467, 0.343251427728879, 0.279401054335897,      0.361279603881815, 0.317839503016409, 0.667490524156887,      0.667490524156887, 0.513893198964272, 0.602819058882962,      0.800124130005956, 0.658832763416297, 0.712767869041386,      0.607087114668938, 0.577154139562059, 0.561554903993597,      0.694199692700576), PROX_PARK = c(0.286498275370587, 0.354623255285983,      0.447685878226129, 0.212766960501703, 0.569772965965399,      0.656436399769765, 0.620470631841848, 0.436213246481288,      0.503650356541676, 0.758867978246924, 0.758867978246924,      0.842333894517479, 0.879464356596765, 0.561902145555774,      0.645156432286565, 0.94305137750942, 0.953457314885518, 1.12092772213378,      1.16122098497616, 1.19561442246869), PROX_GOOD_PRISCH = c(2.51508960065264,      2.29474127216967, 2.16883728054707, 2.41235725048041, 2.07907555576542,      1.85318585541752, 1.774803188623, 1.8549021101536, 1.74800143577954,      1.91909050044553, 1.91909050044553, 1.72660166123773, 1.76550469910092,      2.54268815221988, 2.39271928635374, 1.76071721252525, 1.5016146113424,      1.6842887316892, 1.29435567579286, 1.09898709469432), PROX_MALL = c(0.614219522084071,      0.542371475290289, 0.386525633611572, 0.707673546664446,      0.668924040978838, 0.400117032043626, 0.322264379768498,      0.294446956047624, 0.260189306400009, 0.72813233212774, 0.72813233212774,      0.5620231960968, 0.655283448157635, 1.19892197022629, 1.14990641994387,      0.808064657998832, 0.635314033644823, 0.813382909306435,      0.542723135774117, 0.626909601034773), PROX_CHAS = c(0.389026612692193,      0.059226360432522, 0.194419509978617, 0.13417187150752, 0.191227179226131,      0.191102980152323, 0.241407331054591, 0.29446060409402, 0.227429082883153,      0.255705601713763, 0.255705601713763, 1.4078617678234e-08,      0.10733838099953, 0.278906060515125, 0.17469359838053, 0.253073540027742,      0.149554006756045, 0.19044114280624, 0.144180959238343, 0.221655673315632     ), PROX_SUPERMARKET = c(0.614233853755243, 0.542367678587035,      0.386520309138909, 0.707669264145537, 0.444314653432489,      0.230446816430876, 0.234452518543083, 0.294460269353442,      0.260187243864149, 0.336474046543398, 0.336474046543398,      0.0851968725918189, 0.176189281490626, 0.357092891009527,      0.357404112790227, 0.263318229535236, 0.14719471752053, 0.190441743522314,      0.150188458093997, 0.209750471448386), WITHIN_350M_KINDERGARTEN = c(1L,      0L, 1L, 0L, 1L, 3L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 0L, 1L, 1L,      3L, 3L, 2L, 2L), WITHIN_350M_CHILDCARE = c(5L, 6L, 5L, 5L,      3L, 2L, 4L, 2L, 3L, 2L, 2L, 2L, 1L, 2L, 3L, 3L, 2L, 4L, 3L,      5L), WITHIN_350M_BUS = c(10L, 10L, 12L, 7L, 5L, 5L, 4L, 8L,      7L, 6L, 6L, 6L, 4L, 7L, 7L, 6L, 5L, 8L, 7L, 4L), WITHIN_1KM_PRISCH = c(1L,      4L, 4L, 4L, 5L, 4L, 4L, 2L, 3L, 4L, 4L, 4L, 4L, 3L, 4L, 4L,      5L, 5L, 5L, 5L), DNeighbour = c(0, 334.481679240212, 374.053177466963,      394.141923525794, 701.807774904083, 710.176726703926, 746.171752390269,      826.536299569956, 856.415893136586, 874.350598000232, 877.645357322387,      894.169815354704, 926.146412913377, 966.578059334109, 1008.85352493398,      1041.41578775554, 1071.27837134537, 1251.74869439908, 1352.04408399645,      1422.71898609553)), row.names = c("559", "565", "131", "353",      "618", "789", "493", "12", "758", "753", "473", "103", "597",      "113", "542", "225", "523", "229", "215", "186"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.892510696826971, 0.866530251625389, 0.852394274354613,      0.572547420089657, 0.56374666659902, 0.525527062115751, 0.438894067124315,      0.406594419322347, 0.387272461398467, 0.383731178622794,      0.366019871057751, 0.332051318972755, 0.289909111268719,      0.247181697111382, 0.215473220404397, 0.187507813284078,      0.0510316375593684, 0.00938654429449573, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3579654377 
R squared (OOB):                  -0.06669416 

$Forests[[560]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 361000, 328000,      4e+05, 335000, 325000, 333000, 330000, 360000, 370000, 388000,      345000, 408000, 309000, 4e+05, 395000, 325000, 368000, 348000,      340000), floor_area_sqm = c(103, 84, 84, 103, 84, 85, 84,      84, 104, 98, 100, 91, 100, 91, 104, 101, 84, 100, 93, 104     ), storey_order = c(1L, 4L, 4L, 3L, 2L, 1L, 3L, 3L, 2L, 2L,      4L, 3L, 4L, 2L, 2L, 4L, 5L, 2L, 4L, 1L), remaining_lease_mths = c(798,      794, 806, 796, 796, 830, 823, 791, 804, 912, 922, 773, 921,      774, 822, 936, 812, 923, 777, 869), PROX_CBD = c(10.1540744969693,      10.1908965186918, 10.2439629519707, 10.2571858212528, 10.2571858212528,      10.1989356004427, 9.85122377146013, 9.73525531751342, 10.0879656312395,      10.6430674352334, 10.3133134299625, 9.63489497584329, 10.7481925626994,      9.64616581570663, 10.8294299245227, 10.5347600839054, 9.87023127008802,      10.5911430304609, 9.5834162789491, 10.9782438935663), PROX_ELDERLYCARE = c(0.85844301108046,      0.891997547710976, 0.904720646157319, 0.969336561855173,      0.969336561855173, 1.08623091115154, 0.999223533815273, 0.869795033999967,      1.31022889057949, 1.10983952182968, 1.4124150938613, 0.42629854090558,      1.00181077128688, 0.306199433665808, 0.925828280583076, 1.31633228018286,      1.35138892750767, 1.2745451415541, 0.221128007339761, 0.748731634955849     ), PROX_HAWKER = c(0.614574465644474, 0.594526114354717,      0.616195579705155, 0.543600998034675, 0.543600998034675,      0.368744432216956, 0.526313717816828, 0.687117415591119,      0.196699811405185, 0.494234864614673, 0.0623262564011618,      0.908741650371918, 0.591883114810231, 0.906506968115566,      0.558859907936318, 0.259744380023822, 0.410023469086153,      0.314632743063994, 0.844035637065003, 0.421987441153261),          PROX_MRT = c(0.544743966599557, 0.554399001312584, 0.52596302633555,          0.5984056038899, 0.5984056038899, 0.78040997284139, 0.907717901248049,          0.86810604264512, 1.09046737609619, 0.91242151857363,          1.09471398918577, 0.669484450879797, 0.80807654444201,          0.626377719466395, 0.633065114071651, 1.15842683571226,          1.23646610314009, 1.14211364891441, 0.679762822214213,          0.516121726350597), PROX_PARK = c(0.578916018382343,          0.61263038213259, 0.626908579085899, 0.690393008756984,          0.690393008756984, 0.808282577864154, 0.510337594738446,          0.452373350223662, 0.604882226694947, 1.09293299728603,          0.826294351272671, 0.197084482081202, 1.13130385684233,          0.106198450905693, 0.822296725898933, 1.00657829367171,          0.375073916060521, 0.997953552798557, 0.171128410914521,          1.01560706627581), PROX_GOOD_PRISCH = c(1.40445923276907,          1.40421671412888, 1.44855804010835, 1.38840710840139,          1.38840710840139, 1.199846441039, 1.05242409875061, 1.15234422615158,          0.87937610392538, 1.4206810513637, 0.993301788551023,          1.59153495480405, 1.51127824976447, 1.71137279935344,          1.88031331185984, 1.12709017589061, 0.706117631385061,          1.15731102426836, 1.81796659730331, 1.81228643023267),          PROX_MALL = c(0.685950169481642, 0.685823836221668, 0.644656189163291,          0.638527944164543, 0.638527944164543, 0.663851500718272,          0.756051767526383, 0.907839978504126, 0.441232897113797,          0.220538248250442, 0.450275200033962, 0.873569112263515,          0.114469773448463, 0.808294932987377, 0.43093778326398,          0.464767570965945, 0.445899708163642, 0.441630162720786,          0.812301361871699, 0.231229629812008), PROX_CHAS = c(0.170954716034814,          0.151788880767358, 0.155315138624813, 0.0819899420632749,          0.0819899420632749, 0.0710453772718398, 3.39583191183935e-08,          0.116614388177292, 0.177420148260447, 0.0703959269798554,          0.071192987667569, 0.454068185577158, 0.0793642323922721,          0.415210445937219, 0.0390568763467083, 0.272565000598528,          0.0764125853219005, 0.327465416824022, 0.334146331647452,          0.23122963873357), PROX_SUPERMARKET = c(0.171715993026927,          0.152401712794372, 0.18505229065347, 0.123486578338512,          0.123486578338512, 0.00115080458448496, 0.350225948243757,          0.458729641056945, 0.320748009942088, 0.220538485726081,          0.330151298165832, 0.717910522287554, 0.114469867006585,          0.675617328849562, 0.430936681100737, 0.464768447350912,          0.158655939798418, 0.441631117888638, 0.581458245406798,          0.231228589734032), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 2L,          1L, 1L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(2L, 2L,          1L, 2L, 2L, 4L, 3L, 2L, 5L, 2L, 4L, 1L, 4L, 1L, 4L, 1L,          5L, 1L, 3L, 5L), WITHIN_350M_BUS = c(14L, 12L, 10L, 10L,          10L, 12L, 10L, 10L, 11L, 13L, 15L, 5L, 10L, 8L, 11L,          15L, 8L, 13L, 7L, 9L), WITHIN_1KM_PRISCH = c(5L, 6L,          6L, 5L, 5L, 4L, 4L, 4L, 5L, 6L, 4L, 3L, 6L, 4L, 6L, 4L,          5L, 4L, 4L, 5L), DNeighbour = c(0, 35.5563095464885,          90.3756041554868, 115.425992741234, 119.332575643302,          246.498236819189, 412.594755722118, 448.854024478091,          542.663493858308, 559.74269475357, 575.233434114115,          594.628455018692, 645.123924132241, 649.340088396424,          689.216019842305, 691.619846352306, 698.265577708669,          738.471702019045, 770.948282760992, 828.624707772341)), row.names = c("560",      "447", "668", "494", "591", "967", "129", "921", "292", "627",      "513", "273", "866", "785", "364", "577", "755", "718", "799",      "317"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996320849243338,      0.976350288133007, 0.961568496530472, 0.958950753759426,      0.830843912181233, 0.565607078913971, 0.49925073598794, 0.32616715639854,      0.295597531453866, 0.268409722890912, 0.235261360912401,      0.155128345611706, 0.148930185668408, 0.0949730899243329,      0.0920168480234494, 0.0840363257237753, 0.0423370250562038,      0.018053993259264, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       683055298 
R squared (OOB):                  0.2142515 

$Forests[[561]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(620000, 476000, 475000,      685000, 753000, 680000, 537000, 5e+05, 680000, 8e+05, 748000,      510000, 375000, 407000, 945500, 912000, 355000, 7e+05, 438888,      830000), floor_area_sqm = c(103, 103, 103, 93, 87, 91, 106,      103, 85, 90, 107, 93, 82, 82, 87, 87, 82, 93, 80, 94), storey_order = c(2L,      2L, 2L, 4L, 5L, 3L, 4L, 1L, 2L, 7L, 2L, 4L, 3L, 5L, 8L, 3L,      2L, 1L, 4L, 9L), remaining_lease_mths = c(911, 774, 781,      1115, 1104, 984, 760, 773, 1066, 1063, 899, 746, 645, 661,      1143, 1142, 656, 625, 601, 1088), PROX_CBD = c(2.86182045335715,      3.09516181063763, 3.09516181063763, 2.56060478168524, 2.5775653440094,      2.86455481676114, 3.12641734116327, 3.24578829573265, 2.96405104980333,      2.97610984462207, 2.52364731081334, 3.46549777590634, 3.68559345068932,      3.63085360417079, 2.51922626320824, 2.51922626320824, 3.73116287154914,      2.09358084499411, 3.37234644442932, 1.64296215322618), PROX_ELDERLYCARE = c(0.334062202372697,      0.614909460801077, 0.614909460801077, 0.303984777605612,      0.283170941801308, 0.111411798512938, 0.570344367187993,      0.461566734593474, 0.206690358794928, 0.249991250520312,      0.132133546591398, 0.22080460703487, 0.466665237090727, 0.233260955843543,      1.25853619714168e-06, 1.25853619714168e-06, 0.501456868829436,      0.442569764285143, 0.401810150563083, 0.294850727643248),          PROX_HAWKER = c(0.231089093207534, 0.524942013349153,          0.524942013349153, 0.450094806637729, 0.447120961378381,          0.302651224916382, 0.582032517556358, 0.461305554076076,          0.344572110572533, 0.405863058813757, 0.315417458803045,          0.288924403117312, 0.28293755865871, 0.0974836441417274,          0.187177165934232, 0.187177165934232, 0.311969910328466,          0.103399879312882, 0.449139985411189, 0.280083683397779         ), PROX_MRT = c(0.819080841065402, 1.19880844528061,          1.19880844528061, 0.546591463865751, 0.499107329029013,          0.391395986196982, 1.19588154804183, 1.11057161001852,          0.377919714857806, 0.337225216160626, 0.277076743329557,          0.855873415641472, 1.17490863944549, 0.897060452829867,          0.243725266054354, 0.243725266054354, 1.10221151459309,          0.681532284353367, 0.537190991659238, 0.262926729358016         ), PROX_PARK = c(0.609617368578913, 0.971409228458194,          0.971409228458194, 0.21329655328302, 0.18481391877062,          0.399002951856213, 0.971029675538415, 0.856773721705297,          0.495024008458079, 0.4671588721782, 0.163253442595557,          0.78484111030831, 0.304435062988112, 0.512523364266062,          0.28862748451296, 0.28862748451296, 0.271761978726623,          0.400473707610266, 0.408351250353425, 0.366095429090919         ), PROX_GOOD_PRISCH = c(5.1514664212482, 5.46565510857314,          5.46565510857314, 4.93746215949662, 4.89009258041755,          4.71207116352008, 5.52416256345089, 5.51078547454581,          4.62297298452196, 4.56048774292729, 4.61812725480087,          5.67094725420518, 5.15997579188296, 5.4842432173218,          4.50145006484821, 4.50145006484821, 5.22570836776045,          4.81109980295855, 3.70512913004722, 6.02306971378175),          PROX_MALL = c(0.848351644608041, 1.2281628510896, 1.2281628510896,          0.572150632107275, 0.524781909718914, 0.420489734799516,          1.29251563056945, 1.33172083977874, 0.404565296260845,          0.362094853274792, 0.290995843291254, 1.56665946009711,          1.3376464242075, 1.51733094855201, 0.244046547559164,          0.244046547559164, 1.41171259857663, 0.685370188976197,          0.743612757274357, 0.44820920236387), PROX_CHAS = c(0.159666076311523,          0.240903750709302, 0.240903750709302, 0.0640474788759872,          0.0301364724824846, 0.110042750971165, 0.202999736112437,          0.0869328465249217, 0.0506108453744785, 0.111500209373212,          0.0122221533760307, 0.173647795570322, 0.216565147674259,          0.318203164684035, 0.0462846720247782, 0.0462846720247782,          0.261237260735983, 0.165994533154508, 0.499618186459994,          0.0951865321113252), PROX_SUPERMARKET = c(0.360029455717415,          0.240902416159861, 0.240902416159861, 0.315915165677582,          0.275738565320567, 0.110042446678578, 0.202998478162502,          0.0869315055470345, 0.0506107476035619, 0.111500172768761,          0.0373112013983995, 0.173649067116538, 0.252487697752149,          0.318204198369299, 0.169442491353445, 0.169442491353445,          0.301923436189205, 0.346795592234613, 0.499617451823641,          0.28799517805095), WITHIN_350M_KINDERGARTEN = c(1L, 0L,          0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L,          1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(3L, 2L, 2L,          4L, 4L, 4L, 2L, 2L, 3L, 3L, 6L, 1L, 3L, 1L, 4L, 4L, 3L,          4L, 2L, 6L), WITHIN_350M_BUS = c(4L, 4L, 4L, 3L, 3L,          7L, 5L, 6L, 7L, 4L, 6L, 9L, 10L, 11L, 4L, 4L, 9L, 7L,          8L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 4L,          2L, 2L, 4L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 1L         ), DNeighbour = c(0, 392.047136144191, 397.512414847303,          400.110740980236, 423.219385828577, 446.396938546952,          454.33670433737, 519.454171558225, 530.349798426364,          590.885562368583, 721.555381889395, 778.668036758025,          823.131848437074, 829.220113227596, 842.469894017153,          846.567435382733, 874.799336483488, 959.205340319884,          1445.9126938774, 1476.19001380669)), row.names = c("561",      "126", "134", "390", "999", "968", "48", "192", "389", "319",      "65", "454", "683", "742", "816", "550", "432", "824", "69",      "850"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.863908997942232,      0.86023182718544, 0.858468544614295, 0.842365608326645, 0.825472982096723,      0.819520256062745, 0.767681824332937, 0.758511310038483,      0.705227038173524, 0.579240833331056, 0.520936938119843,      0.474825695364791, 0.468484787512803, 0.454673920436762,      0.450400908562281, 0.420964675451018, 0.333829898635999,      0.00164837781516102, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5366271223 
R squared (OOB):                  0.8309542 

$Forests[[562]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(795888, 745000, 810000,      4e+05, 8e+05, 530000, 566888, 533000, 649888, 685000, 755000,      408000, 750000, 840000, 413888, 7e+05, 825000, 820000, 620000,      552000), floor_area_sqm = c(95, 90, 90, 92, 105, 118, 88,      88, 87, 85, 90, 84, 90, 87, 88, 95, 87, 87, 102, 100), storey_order = c(7L,      7L, 10L, 1L, 6L, 2L, 8L, 1L, 3L, 4L, 5L, 6L, 11L, 14L, 2L,      3L, 5L, 9L, 3L, 1L), remaining_lease_mths = c(1140, 1057,      1045, 555, 938, 594, 650, 653, 1103, 1038, 1038, 647, 1035,      1141, 668, 1100, 1136, 1136, 908, 910), PROX_CBD = c(6.26284978479934,      6.0390103189171, 5.99670752478149, 5.99479776583207, 6.53309552941355,      6.1023364257416, 6.76124856282603, 6.92829321613491, 7.02256530608061,      4.89531124268982, 4.88070069409732, 5.38657645344473, 4.88070069409732,      4.70219035054856, 7.88501742637481, 7.97001655790022, 4.59114385332588,      4.59114385332588, 4.95292174150019, 4.64904487497998), PROX_ELDERLYCARE = c(0.69800247969724,      0.798119493593788, 0.788986586736525, 0.420516157550055,      0.112238297630375, 0.14668864145384, 0.20742531007413, 0.389684735109723,      0.467453442926814, 0.307888742732217, 0.312658206579851,      0.465891927060243, 0.312658206579851, 0.200702517977741,      0.487583248392117, 0.682273370470252, 0.125633226962327,      0.125633226962327, 0.0718437191527097, 0.374326446996408),          PROX_HAWKER = c(0.130331819855385, 0.151348144296069,          0.199496524550099, 0.295460487376037, 0.357983508144609,          0.107292567178633, 0.171967883722699, 0.133504850959355,          0.207247650371579, 0.546104933523636, 0.595417483526792,          0.351855498276287, 0.595417483526792, 0.646528219825606,          0.645875214067525, 0.840126401207934, 0.762382071136897,          0.762382071136897, 0.126776661941161, 0.28049665267082         ), PROX_MRT = c(0.132116935816272, 0.225262429159589,          0.226103982865864, 0.305306521480229, 0.404028215814371,          0.649340944892975, 0.31120761671675, 0.407218977151475,          0.409658939160285, 0.275254866694397, 0.314337158810329,          0.675587286197546, 0.314337158810329, 0.491479629856663,          0.707952731476156, 0.726942522279936, 0.586728793826683,          0.586728793826683, 0.804865461788644, 0.763812758173444         ), PROX_PARK = c(0.742212481577902, 0.921128796109604,          0.97332058707081, 0.990750186553446, 0.407986988455317,          0.711925115709351, 0.273246118986377, 0.377410917604964,          0.380160428577633, 1.60860995669454, 1.53366372097489,          1.05249384295472, 1.53366372097489, 1.77379186206272,          0.511064020035708, 0.618444971248099, 1.65596921250538,          1.65596921250538, 0.908868407872405, 1.08394438059851         ), PROX_GOOD_PRISCH = c(2.39901634170637, 2.45094763896652,          2.41026804261554, 2.01228232098645, 1.86607127862969,          1.64363723354824, 1.9155109693321, 2.0639866413545, 2.07008813823767,          2.96671225712824, 3.0451226436528, 3.52335384407219,          3.0451226436528, 2.79995758206102, 2.82520953766913,          2.78644315018514, 2.86977258716747, 2.86977258716747,          3.66355651606602, 3.57098970158234), PROX_MALL = c(0.965908348364742,          1.15586968043917, 1.14826594162738, 0.848644658978131,          0.26702131219094, 0.58741271025502, 0.191774654856939,          0.352244010010256, 0.395390786334096, 0.696065710972082,          0.63262312230698, 0.184401966361696, 0.63262312230698,          0.970860317849455, 0.535655644340599, 0.66906173274608,          0.992224857230604, 0.992224857230604, 0.209686974260184,          0.528365937160055), PROX_CHAS = c(0.0879111496245458,          0.103484302768675, 0.157172829578474, 0.262677718190406,          0.144966662256637, 0.142011209366223, 0.19177461752976,          0.180332756228222, 0.278446199404133, 0.22404402777184,          0.278004299073392, 0.131272369045618, 0.278004299073392,          0.0639130956899198, 0.102679570293108, 0.195243012850588,          0.156405874770629, 0.156405874770629, 0.176171654931402,          0.251376462502101), PROX_SUPERMARKET = c(0.0879117778441782,          0.198926203527595, 0.212384620357781, 0.3581952061826,          0.26343506825427, 0.585686837888717, 0.113049768890948,          0.0762755382886037, 0.0888694671696128, 0.224044642536509,          0.278004958714438, 0.182486832055582, 0.278004958714438,          0.0639125072278545, 0.158953339299884, 0.169510705521186,          0.156405662038775, 0.156405662038775, 0.176171398022836,          0.311533400888457), WITHIN_350M_KINDERGARTEN = c(2L,          3L, 3L, 1L, 1L, 1L, 1L, 1L, 0L, 5L, 5L, 1L, 5L, 2L, 1L,          1L, 0L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 1L, 5L, 2L, 4L, 5L, 3L, 4L, 5L, 1L, 5L, 4L, 1L, 0L,          3L, 3L, 1L, 2L), WITHIN_350M_BUS = c(5L, 9L, 10L, 8L,          3L, 5L, 8L, 7L, 10L, 9L, 8L, 8L, 8L, 7L, 5L, 7L, 7L,          7L, 7L, 12L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L,          1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,          2L), DNeighbour = c(0, 249.33440053002, 278.478285160221,          434.224624581794, 698.311803575183, 757.022703453417,          866.114338241769, 929.868081768315, 1031.02068433545,          1504.18473890351, 1552.21881929577, 1553.15943802376,          1554.08770111239, 1604.27210233272, 1627.48177903503,          1707.85981279027, 1720.06604821373, 1725.06326443571,          1927.43483904932, 2043.00202546626)), row.names = c("562",      "832", "379", "413", "81", "18", "834", "978", "221", "916",      "982", "130", "39", "854", "338", "904", "333", "768", "216",      "140"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.970432786611512,      0.963185269485683, 0.911692143071846, 0.779986020186457,      0.744246011303224, 0.672848108871514, 0.628595882500513,      0.555499873697592, 0.209689151704627, 0.17871267038286, 0.17812146472704,      0.177538634980845, 0.14697928662978, 0.133522918118396, 0.0907079205872176,      0.0847699296655126, 0.0823850870218657, 0.012085663011675,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10027048269 
R squared (OOB):                  0.5454276 

$Forests[[563]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(378000, 375000, 394000,      4e+05, 378000, 380000, 368888, 395000, 324000, 310000, 333000,      320000, 330000, 345000, 335000, 345000, 320000, 364000, 295000,      375000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      90, 91, 100, 100, 102, 102, 100, 102, 101, 100, 101, 93),          storey_order = c(3L, 2L, 5L, 4L, 2L, 4L, 4L, 3L, 4L,          4L, 4L, 4L, 1L, 2L, 4L, 4L, 1L, 2L, 1L, 5L), remaining_lease_mths = c(1133,          1135, 1142, 1145, 1136, 1135, 1143, 1132, 929, 927, 928,          930, 911, 927, 930, 926, 924, 921, 917, 993), PROX_CBD = c(18.5541585191533,          18.5586196198757, 18.5586196198757, 18.4659506582063,          18.6831604018118, 18.528449956106, 18.528449956106, 18.4477570786683,          18.3448727328387, 18.6571260927441, 18.2095446148373,          18.242108360018, 18.2320763538069, 18.2868848905217,          17.9186379864086, 18.236688278315, 18.0902268845521,          17.9386403893839, 18.4986491838169, 17.8363687874637),          PROX_ELDERLYCARE = c(1.3934670212363, 1.41981179339616,          1.41981179339616, 1.40960952841152, 1.47678345842271,          1.49671415705568, 1.49671415705568, 1.45029388933935,          1.12000720290482, 1.27166470727688, 1.17430183890643,          1.08331104464233, 0.927534095024191, 0.896456720381782,          1.13507400842797, 0.732088251039709, 0.706169610995159,          0.714833653499633, 0.86418951980865, 1.40920769604983         ), PROX_HAWKER = c(0.899006211509986, 0.915906485722884,          0.915906485722884, 0.861254406292383, 1.01746494726896,          0.947708217710491, 0.947708217710491, 0.879695992543251,          0.636376603494217, 0.924657565926692, 0.579651089601917,          0.548257960059823, 0.493410913505403, 0.547085889030319,          0.435091735724103, 0.537987121264097, 0.370412154176866,          0.201936965562497, 0.838043969781633, 0.692541487012902         ), PROX_MRT = c(0.823747240068891, 0.839968978875504,          0.839968978875504, 0.783375472664302, 0.943619619760125,          0.869531291623609, 0.869531291623609, 0.801027338961469,          0.565211037998289, 0.861078471223358, 0.501132314022455,          0.47401652613315, 0.433316978327494, 0.495991449430539,          0.364011265623101, 0.511061821383635, 0.341202563029131,          0.168914117564514, 0.812751343363136, 0.634260663268818         ), PROX_PARK = c(2.22642888666982, 2.25577949184332,          2.25577949184332, 2.321508063195, 2.2148581526701, 2.37596217173297,          2.37596217173297, 2.38376543636855, 2.08056453235766,          1.95136051888807, 2.25371860749481, 2.12857307310705,          1.96114614265628, 1.86697967968657, 2.31505119222808,          1.7164330470264, 1.8531048262974, 1.99379565561889, 1.49181484955502,          2.04440878541867), PROX_GOOD_PRISCH = c(9.00155567304774,          9.00274768401056, 9.00274768401056, 8.90481615501782,          9.12987022396436, 8.9605147002348, 8.9605147002348, 8.8804818877731,          8.81498363377987, 9.13456945987866, 8.6635222339794,          8.71021480286832, 8.72297519828522, 8.78822500750919,          8.3676789538936, 8.76378557853615, 8.60631027953587,          8.4444135457925, 9.04519470993137, 8.25468587074647),          PROX_MALL = c(0.475387173022169, 0.5054917244252, 0.5054917244252,          0.542775018358786, 0.525391611000181, 0.613385110580272,          0.613385110580272, 0.601716003339109, 0.284195187673565,          0.300602441432182, 0.468966497593582, 0.347669457974494,          0.22704735136933, 0.1450338527091, 0.384238747959315,          0.240339889961931, 0.342860958869265, 0.238372860218233,          0.305101649121832, 0.630636123898788), PROX_CHAS = c(0.0809306171135589,          0.101888085354885, 0.101888085354885, 0.20305264112251,          0.090990597005735, 0.220932244035638, 0.220932244035638,          0.260006933015678, 0.24769320941352, 0.214120710257936,          0.3998394205418, 0.274735402884708, 0.11607611654581,          0.0217240252323136, 0.360842629752134, 0.184864523484869,          0.209799590563819, 0.076984763134016, 0.305101651313883,          0.221589023831152), PROX_SUPERMARKET = c(0.080929224247632,          0.101886801165025, 0.101886801165025, 0.203051245143547,          0.0909910491430168, 0.220931072377982, 0.220931072377982,          0.260005577706646, 0.284194910851331, 0.214121714630789,          0.402574253870019, 0.347668959247477, 0.227046556279957,          0.145032957963293, 0.360842909613722, 0.240339157209448,          0.342860053820009, 0.171190500184261, 0.305101855713295,          0.22158921197453), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 2L, 2L, 1L, 2L,          2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 5L, 3L, 2L, 3L, 5L, 7L, 1L, 6L, 6L,          6L, 6L, 3L), WITHIN_350M_BUS = c(8L, 5L, 5L, 6L, 5L,          6L, 6L, 8L, 8L, 8L, 8L, 7L, 10L, 9L, 11L, 7L, 7L, 8L,          9L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 3L, 3L,          3L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 3L, 6L, 5L, 5L, 4L, 3L         ), DNeighbour = c(0, 24.5105863287897, 27.8130896720169,          118.646859052172, 129.821233168267, 147.088530813563,          148.60771996107, 172.34483338522, 279.981385633049, 288.795814757622,          343.675541556551, 347.292279423103, 473.223166529157,          506.095811793935, 633.703739413368, 679.597724370098,          688.484692098627, 751.071171080671, 765.00469441972,          781.395038809395)), row.names = c("563", "35", "581",      "777", "664", "102", "875", "504", "512", "761", "243", "608",      "443", "787", "590", "227", "74", "638", "684", "118"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998033099520816, 0.997467718581215, 0.954420903866605,      0.945556682588298, 0.9303881758631, 0.928969403259324, 0.905072706444467,      0.759711300010664, 0.745465104323332, 0.650532086427317,      0.643946498019999, 0.400983558930123, 0.336988972100151,      0.117165766200029, 0.0593316154335761, 0.0500275420661157,      0.00579253149557552, 0.00172320557935246, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       388113921 
R squared (OOB):                  0.6032459 

$Forests[[564]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 422500, 4e+05,      415000, 385000, 440000, 450000, 405000, 408000, 415000, 425000,      395000, 365000, 415000, 385000, 420000, 365000, 350000, 468000,      420000), floor_area_sqm = c(104, 104, 107, 108, 84, 104,      106, 106, 105, 103, 104, 103, 84, 108, 102, 103, 103, 84,      106, 106), storey_order = c(4L, 3L, 1L, 2L, 2L, 3L, 2L, 2L,      1L, 2L, 2L, 4L, 4L, 3L, 3L, 2L, 1L, 2L, 5L, 3L), remaining_lease_mths = c(775,      765, 912, 891, 815, 752, 919, 778, 797, 768, 801, 772, 787,      904, 755, 757, 757, 806, 863, 874), PROX_CBD = c(13.5598735525989,      13.4875816574924, 13.6047453762483, 13.8459786715751, 13.8115996810708,      13.1913836000948, 13.6245617307962, 13.2146489403719, 13.8987191813532,      13.0537205387581, 13.9224032790502, 13.1724132817366, 13.5012180894848,      13.7944980809676, 13.2614515751509, 13.2614515751509, 13.0970803497533,      13.3385512116162, 13.629257933267, 13.629257933267), PROX_ELDERLYCARE = c(0.555470204987842,      0.428841001075194, 0.271914041498034, 0.429452782693922,      0.244605555667631, 0.779182108791446, 0.120631950903102,      0.392334185262972, 0.166628987045545, 0.569472877275307,      0.160860892679658, 0.906244923447749, 0.126566715598502,      0.91518434198946, 0.99636081833896, 0.99636081833896, 0.830352740740998,      1.09997831443452, 0.207468408301612, 0.207468408301612),          PROX_HAWKER = c(1.44869421276883, 1.41347495302278, 1.50728197565297,          1.71981564227335, 1.71143518366979, 1.05769292681279,          1.48009929412898, 1.1504484389926, 1.60647998640073,          0.963287544217337, 1.57003684649171, 1.03184370064912,          1.32455892398921, 1.66782294138278, 1.14030290242306,          1.14030290242306, 0.973651338137405, 1.2578245237404,          1.4012681206183, 1.4012681206183), PROX_MRT = c(0.172867375742438,          0.229256973107587, 0.222008379422339, 0.2084775132707,          0.198072339225813, 0.577154139562059, 0.357520644011877,          0.530339592860526, 0.337555536848429, 0.551410176707671,          0.375491068655226, 0.712767869041386, 0.54422435083218,          0.658832763416297, 0.667490524156887, 0.667490524156887,          0.602819058882962, 0.602718547061467, 0.681065013996815,          0.681065013996815), PROX_PARK = c(1.16233583500127, 1.00267286051928,          0.882483872449952, 1.1446906726086, 0.925135888784, 1.12092772213378,          0.731000545087102, 0.763919329225246, 0.83983547285748,          0.974634241933185, 0.819174175884815, 0.94305137750942,          0.593866981909781, 0.645156432286565, 0.758867978246924,          0.758867978246924, 0.879464356596765, 0.569772965965399,          0.403276931712581, 0.403276931712581), PROX_GOOD_PRISCH = c(1.97663004084467,          1.87202126825599, 1.96272742295518, 2.27101821651052,          2.17137072991142, 1.6842887316892, 1.96554365084008,          1.57814209766337, 2.24487256678893, 1.48818847749708,          2.26578798898653, 1.76071721252525, 1.8351788996921,          2.39271928635374, 1.91909050044553, 1.91909050044553,          1.76550469910092, 2.07907555576542, 1.96779323327463,          1.96779323327463), PROX_MALL = c(1.05810160080284, 0.948424723316687,          1.0427530371351, 1.35153556565047, 1.25122768833936,          0.813382909306435, 1.05956757611768, 0.655287065425073,          1.33259876169033, 0.593340478429386, 1.34118728457461,          0.808064657998832, 0.956400108312903, 1.14990641994387,          0.72813233212774, 0.72813233212774, 0.655283448157635,          0.668924040978838, 1.12429495075828, 1.12429495075828         ), PROX_CHAS = c(0.180657994610612, 0.231037598077535,          0.15212794302602, 0.345234103044859, 0.130123043615932,          0.19044114280624, 2.17172157220984e-06, 0.358071114142678,          0.0582471476749484, 0.203693673714882, 0.0806372798138111,          0.253073540027742, 0.0648495538885981, 0.17469359838053,          0.255705601713763, 0.255705601713763, 0.10733838099953,          0.191227179226131, 0.260044927245007, 0.260044927245007         ), PROX_SUPERMARKET = c(0.180658044884504, 0.231037826802092,          0.353624023725788, 0.426625283183798, 0.30366394922488,          0.190441743522314, 0.237807435452358, 0.384538867225359,          0.2065347950197, 0.349948262987797, 0.189550835904173,          0.263318229535236, 0.329742543966106, 0.357404112790227,          0.336474046543398, 0.336474046543398, 0.176189281490626,          0.444314653432489, 0.288903462518554, 0.288903462518554         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 0L, 1L, 0L, 3L,          3L, 2L, 2L, 2L, 3L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 3L, 3L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 6L, 3L, 3L, 4L,          5L, 3L, 3L, 2L, 3L, 3L, 5L, 3L, 2L, 2L, 1L, 3L, 6L, 6L         ), WITHIN_350M_BUS = c(11L, 10L, 12L, 12L, 10L, 8L, 10L,          9L, 9L, 8L, 9L, 6L, 7L, 7L, 6L, 6L, 4L, 5L, 6L, 6L),          WITHIN_1KM_PRISCH = c(6L, 5L, 5L, 5L, 5L, 5L, 4L, 6L,          4L, 6L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 2L, 2L), DNeighbour = c(0,          159.083214079687, 281.969828040208, 297.233801016351,          363.311186780672, 406.780017793443, 440.328072692601,          441.225497703907, 501.796424477698, 503.649822451421,          537.120932096644, 543.075098615692, 589.564258684104,          611.029927399382, 619.881297801822, 623.995396480319,          694.736570305755, 756.536577395751, 762.596725668649,          765.034735666944)), row.names = c("564", "663", "955",      "970", "235", "229", "656", "511", "531", "541", "219", "225",      "264", "542", "473", "753", "597", "618", "415", "503"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.915389560495946, 0.74676423587479, 0.720885333223281, 0.599811090568776,      0.514490242456963, 0.44719131229494, 0.445385294209744, 0.3246467419564,      0.321028599799755, 0.257123902996809, 0.246100114639955,      0.164932025942777, 0.131105716518084, 0.117971451158858,      0.112041585426572, 0.030742063124531, 0.000488100931548024,      4.04933339746685e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       691349365 
R squared (OOB):                  0.1771784 

$Forests[[565]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418000, 411000, 423000,      625000, 350000, 355000, 410000, 420000, 385000, 399000, 365000,      395000, 390000, 415000, 485000, 380000, 430000, 440000, 420000,      425000), floor_area_sqm = c(84, 104, 104, 94, 84, 84, 84,      103, 102, 102, 103, 103, 109, 108, 104, 105, 104, 104, 105,      104), storey_order = c(3L, 1L, 2L, 3L, 2L, 3L, 4L, 2L, 3L,      3L, 1L, 4L, 1L, 3L, 3L, 1L, 1L, 3L, 2L, 4L), remaining_lease_mths = c(821,      806, 827, 1085, 806, 804, 814, 757, 755, 766, 757, 772, 908,      904, 823, 775, 805, 752, 787, 775), PROX_CBD = c(13.3325431063631,      13.1755942624772, 13.4971436153267, 13.3230141016287, 13.3385512116162,      13.01786092695, 12.8927390133383, 13.2614515751509, 13.2614515751509,      13.0078000734933, 13.0970803497533, 13.1724132817366, 13.9032473641583,      13.7944980809676, 12.533007335037, 12.8173662852819, 12.514948085948,      13.1913836000948, 12.7549887608908, 13.5598735525989), PROX_ELDERLYCARE = c(1.22529955141455,      1.08363260419178, 1.36472832701396, 1.40693910044933, 1.09997831443452,      0.807586217367385, 0.702153634905252, 0.99636081833896, 0.99636081833896,      0.748101088186933, 0.830352740740998, 0.906244923447749,      1.01451296282065, 0.91518434198946, 0.635175801858358, 0.548539301056628,      0.754587815834464, 0.779182108791446, 0.556485595404089,      0.555470204987842), PROX_HAWKER = c(1.40113048988486, 1.26154745049637,      1.53740682378418, 1.58753442345041, 1.2578245237404, 0.976719939584195,      0.876276656944215, 1.14030290242306, 1.14030290242306, 0.90031621758677,      0.973651338137405, 1.03184370064912, 1.79397933605035, 1.66782294138278,      0.80610763907972, 0.687183343617196, 0.918952349521139, 1.05769292681279,      0.627642822312809, 1.44869421276883), PROX_MRT = c(0.481797794839233,      0.324849533681113, 0.586728597341744, 0.336472807994142,      0.602718547061467, 0.343251427728879, 0.279401054335897,      0.667490524156887, 0.667490524156887, 0.513893198964272,      0.602819058882962, 0.712767869041386, 0.800124130005956,      0.658832763416297, 0.317839503016409, 0.607087114668938,      0.361279603881815, 0.577154139562059, 0.561554903993597,      0.172867375742438), PROX_PARK = c(0.354623255285983, 0.447685878226129,      0.212766960501703, 0.286498275370587, 0.569772965965399,      0.656436399769765, 0.620470631841848, 0.758867978246924,      0.758867978246924, 0.842333894517479, 0.879464356596765,      0.94305137750942, 0.561902145555774, 0.645156432286565, 0.503650356541676,      0.953457314885518, 0.436213246481288, 1.12092772213378, 1.16122098497616,      1.16233583500127), PROX_GOOD_PRISCH = c(2.29474127216967,      2.16883728054707, 2.41235725048041, 2.51508960065264, 2.07907555576542,      1.85318585541752, 1.774803188623, 1.91909050044553, 1.91909050044553,      1.72660166123773, 1.76550469910092, 1.76071721252525, 2.54268815221988,      2.39271928635374, 1.74800143577954, 1.5016146113424, 1.8549021101536,      1.6842887316892, 1.29435567579286, 1.97663004084467), PROX_MALL = c(0.542371475290289,      0.386525633611572, 0.707673546664446, 0.614219522084071,      0.668924040978838, 0.400117032043626, 0.322264379768498,      0.72813233212774, 0.72813233212774, 0.5620231960968, 0.655283448157635,      0.808064657998832, 1.19892197022629, 1.14990641994387, 0.260189306400009,      0.635314033644823, 0.294446956047624, 0.813382909306435,      0.542723135774117, 1.05810160080284), PROX_CHAS = c(0.059226360432522,      0.194419509978617, 0.13417187150752, 0.389026612692193, 0.191227179226131,      0.191102980152323, 0.241407331054591, 0.255705601713763,      0.255705601713763, 1.4078617678234e-08, 0.10733838099953,      0.253073540027742, 0.278906060515125, 0.17469359838053, 0.227429082883153,      0.149554006756045, 0.29446060409402, 0.19044114280624, 0.144180959238343,      0.180657994610612), PROX_SUPERMARKET = c(0.542367678587035,      0.386520309138909, 0.707669264145537, 0.614233853755243,      0.444314653432489, 0.230446816430876, 0.234452518543083,      0.336474046543398, 0.336474046543398, 0.0851968725918189,      0.176189281490626, 0.263318229535236, 0.357092891009527,      0.357404112790227, 0.260187243864149, 0.14719471752053, 0.294460269353442,      0.190441743522314, 0.150188458093997, 0.180658044884504),          WITHIN_350M_KINDERGARTEN = c(0L, 1L, 0L, 1L, 1L, 3L,          2L, 2L, 2L, 2L, 1L, 1L, 0L, 1L, 1L, 3L, 1L, 3L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 5L, 5L, 3L, 2L,          4L, 2L, 2L, 2L, 1L, 3L, 2L, 3L, 3L, 2L, 2L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(10L, 12L, 7L, 10L, 5L, 5L, 4L,          6L, 6L, 6L, 4L, 6L, 7L, 7L, 7L, 5L, 8L, 8L, 7L, 11L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 1L, 5L, 4L, 4L, 4L,          4L, 4L, 4L, 4L, 3L, 4L, 3L, 5L, 2L, 5L, 5L, 6L), DNeighbour = c(0,          160.468668606115, 170.906683287148, 334.481679240212,          367.339968821302, 441.484288060128, 518.453249837897,          543.404380876176, 546.515505136559, 601.68242443917,          614.258037377691, 716.078010773726, 717.520848567787,          722.040632346628, 796.754778497106, 801.931329945612,          823.996894553109, 923.547805611441, 1068.4479279087,          1118.60122613236)), row.names = c("565", "131", "353",      "559", "618", "789", "493", "753", "473", "103", "597", "225",      "113", "542", "758", "523", "12", "229", "215", "564"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.959264970861583, 0.953857757544805, 0.829171151292653,      0.795946847805606, 0.712726653375824, 0.616512364482192,      0.583709546140837, 0.579576037618766, 0.505060747718309,      0.487840374582453, 0.348338112588181, 0.346389540675012,      0.340295758974969, 0.24271425891459, 0.236241255672955, 0.209191011740008,      0.101339986653908, 0.00768448772508913, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3566221621 
R squared (OOB):                  -0.06269136 

$Forests[[566]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(325000, 310000, 295000,      370000, 350000, 390000, 345000, 345000, 370000, 343000, 320000,      325000, 380000, 420000, 420000, 380000, 345000, 323000, 340000,      335000), floor_area_sqm = c(104, 104, 105, 103, 104, 126,      104, 103, 93, 102, 106, 90, 93, 93, 92, 93, 102, 104, 101,      101), storey_order = c(1L, 1L, 1L, 4L, 2L, 2L, 4L, 5L, 1L,      5L, 1L, 4L, 1L, 3L, 6L, 1L, 2L, 3L, 5L, 2L), remaining_lease_mths = c(872,      879, 870, 881, 863, 879, 862, 944, 1139, 935, 851, 912, 1138,      1139, 1104, 1142, 935, 956, 943, 933), PROX_CBD = c(15.9652370890998,      15.9652370890998, 16.027241877126, 15.9139497277605, 15.9139497277605,      16.1769042321823, 16.2035530975804, 15.6615925135045, 15.8422849591204,      15.6558233565228, 15.9983120826665, 16.3759795802925, 15.9652529785268,      15.9652529785268, 16.0058570800758, 15.6174435761395, 16.0814208174046,      16.3822081442679, 15.9284058495794, 16.135389698045), PROX_ELDERLYCARE = c(0.372962984236141,      0.372962984236141, 0.401697186037664, 0.471057675436291,      0.471057675436291, 0.382017171357745, 0.462412199513001,      0.372854461013726, 0.241353796602158, 0.268146833149962,      0.541237256511776, 0.437652472603004, 0.120425003900544,      0.120425003900544, 0.0922651494707867, 0.457575537702088,      0.129424766752979, 0.317064501792404, 0.260351961534281,      0.214357316635524), PROX_HAWKER = c(2.45115541279444, 2.45115541279444,      2.44772974464855, 2.34701070601947, 2.34701070601947, 2.55739022352562,      2.51024920878341, 2.39243139523594, 2.37354129025836, 2.27183532495414,      2.1818192257633, 2.71828200917597, 2.36922200206298, 2.36922200206298,      2.393526972262, 2.21004723991438, 2.40830007300065, 2.76474077583521,      2.2342618496891, 2.40272097648418), PROX_MRT = c(0.52727924180445,      0.52727924180445, 0.538616250543522, 0.424613907535265, 0.424613907535265,      0.674610535324426, 0.65447898159524, 0.499275570100955, 0.721786411333246,      0.370313443989706, 0.364450998520493, 0.870089952652958,      0.886101680623091, 0.886101680623091, 0.910164710677637,      0.70935210619912, 1.00126993569874, 1.02897813643603, 1.02417718077332,      1.09323648573999), PROX_PARK = c(1.39203600576681, 1.39203600576681,      1.35146177086674, 1.30337713627377, 1.30337713627377, 1.39748820590438,      1.32632916723033, 1.19384102986047, 1.42084473696832, 1.16446299803307,      1.05372411430502, 1.49155883505512, 1.58077599563476, 1.58077599563476,      1.6216647961598, 1.21748666352844, 1.7154732425778, 1.73717122008599,      1.61207436869795, 1.7942088991982), PROX_GOOD_PRISCH = c(6.02718330754398,      6.02718330754398, 6.09534233388474, 5.99275530970335, 5.99275530970335,      6.23706483495109, 6.27623366830878, 5.71328270316738, 5.8611108446886,      5.73062396037349, 6.12314921566155, 6.4246273009838, 5.96493131981452,      5.96493131981452, 6.00411547246196, 5.63578467655705, 6.0710937852797,      6.39421933734494, 5.90870946924896, 6.11593822040069), PROX_MALL = c(0.238316612740974,      0.238316612740974, 0.275346491924215, 0.338688619983659,      0.338688619983659, 0.292722816398213, 0.370949542105629,      0.238209845871265, 0.177442774283774, 0.155488337640192,      0.45623102577182, 0.409369768138594, 0.18546430077947, 0.18546430077947,      0.187934498474296, 0.401390812484646, 0.261655001598387,      0.374078152135628, 0.350369242497661, 0.350342319635), PROX_CHAS = c(0.238316573509266,      0.238316573509266, 0.275346446899555, 0.338688583692834,      0.338688583692834, 0.292722768811081, 0.370949494121523,      0.238209795937414, 0.177442804982894, 0.155488306171375,      0.290215734280461, 0.409369730284335, 0.185464348558652,      0.185464348558652, 0.187934543511456, 0.187858028295528,      0.26165503944411, 0.374078140160073, 0.35036929019185, 0.350342354631045     ), PROX_SUPERMARKET = c(0.177610526119132, 0.177610526119132,      0.141316208924405, 0.112474666082431, 0.112474666082431,      0.254565333705719, 0.235998227482853, 0.238833101010687,      0.197153631350279, 0.152010752053411, 0.162067612034701,      0.389543937857684, 0.198556813498254, 0.198556813498254,      0.197516435852273, 0.412009517866082, 0.265481412722203,      0.357574924056941, 0.363015443397577, 0.352223797136593),          WITHIN_350M_KINDERGARTEN = c(3L, 3L, 3L, 3L, 3L, 5L,          3L, 3L, 2L, 4L, 1L, 2L, 1L, 1L, 1L, 3L, 0L, 2L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 8L, 9L, 9L, 8L,          5L, 5L, 7L, 8L, 6L, 2L, 5L, 5L, 5L, 3L, 5L, 1L, 3L, 2L         ), WITHIN_350M_BUS = c(14L, 14L, 12L, 15L, 15L, 9L, 7L,          16L, 15L, 14L, 12L, 5L, 15L, 15L, 14L, 15L, 13L, 9L,          10L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L         ), DNeighbour = c(0, 1.88217402855912, 69.3839933104133,          100.773607533834, 104.240001251728, 206.892973208596,          247.559559740898, 314.133262907952, 315.888820478784,          321.033451873968, 331.808028856782, 407.299291203438,          413.573491332553, 421.925940325475, 424.312087318308,          461.892401706758, 499.431300282047, 511.217624529878,          576.773831870561, 584.636573047832)), row.names = c("566",      "490", "463", "927", "959", "54", "806", "572", "585", "450",      "888", "974", "913", "137", "154", "766", "890", "173", "705",      "88"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999979271143838,      0.972029041317547, 0.941460161707256, 0.93742970714182, 0.765216932356865,      0.673543642130476, 0.505939077742396, 0.501346156571483,      0.487862194046133, 0.4595372520373, 0.264864260505794, 0.249581592727791,      0.229598714619944, 0.223972102637761, 0.141240859100117,      0.0730301126525636, 0.0554086988497195, 0.000713798227169526,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1091324476 
R squared (OOB):                  0.05340277 

$Forests[[567]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(755000, 1110000, 1056800,      890000, 1023801, 830000, 1038000, 643888, 685000, 537000,      475000, 476000, 620000, 7e+05, 753000, 5e+05, 510000, 748000,      680000, 945500), floor_area_sqm = c(90, 94, 95, 93, 95, 94,      95, 83, 93, 106, 103, 103, 103, 93, 87, 103, 93, 107, 91,      87), storey_order = c(2L, 17L, 16L, 2L, 13L, 9L, 13L, 4L,      4L, 4L, 2L, 2L, 2L, 1L, 5L, 1L, 4L, 2L, 3L, 8L), remaining_lease_mths = c(983,      1086, 1081, 1079, 1085, 1088, 1088, 721, 1115, 760, 781,      774, 911, 625, 1104, 773, 746, 899, 984, 1143), PROX_CBD = c(2.01305703462688,      1.77209924777956, 1.77209924777956, 1.67386574810093, 1.64296215322618,      1.64296215322618, 1.6109563636452, 1.53899731723416, 2.56060478168524,      3.12641734116327, 3.09516181063763, 3.09516181063763, 2.86182045335715,      2.09358084499411, 2.5775653440094, 3.24578829573265, 3.46549777590634,      2.52364731081334, 2.86455481676114, 2.51922626320824), PROX_ELDERLYCARE = c(0.301111196915018,      0.140516738363648, 0.140516738363648, 0.177855560288099,      0.294850727643248, 0.294850727643248, 0.267363987874465,      0.194322059338883, 0.303984777605612, 0.570344367187993,      0.614909460801077, 0.614909460801077, 0.334062202372697,      0.442569764285143, 0.283170941801308, 0.461566734593474,      0.22080460703487, 0.132133546591398, 0.111411798512938, 1.25853619714168e-06     ), PROX_HAWKER = c(0.439754799726314, 0.23052169920376, 0.23052169920376,      0.190132187507835, 0.280083683397779, 0.280083683397779,      0.235977344459711, 0.0778854840685767, 0.450094806637729,      0.582032517556358, 0.524942013349153, 0.524942013349153,      0.231089093207534, 0.103399879312882, 0.447120961378381,      0.461305554076076, 0.288924403117312, 0.315417458803045,      0.302651224916382, 0.187177165934232), PROX_MRT = c(0.650763936895186,      0.454819638815125, 0.454819638815125, 0.379670718067057,      0.262926729358016, 0.262926729358016, 0.29771914919713, 0.338341879948785,      0.546591463865751, 1.19588154804183, 1.19880844528061, 1.19880844528061,      0.819080841065402, 0.681532284353367, 0.499107329029013,      1.11057161001852, 0.855873415641472, 0.277076743329557, 0.391395986196982,      0.243725266054354), PROX_PARK = c(0.806729342800227, 0.568364566172339,      0.568364566172339, 0.464667269713551, 0.366095429090919,      0.366095429090919, 0.367398542795172, 0.431332248643832,      0.21329655328302, 0.971029675538415, 0.971409228458194, 0.971409228458194,      0.609617368578913, 0.400473707610266, 0.18481391877062, 0.856773721705297,      0.78484111030831, 0.163253442595557, 0.399002951856213, 0.28862748451296     ), PROX_GOOD_PRISCH = c(6.32589195448141, 6.2014068010071,      6.2014068010071, 6.13913327172338, 6.02306971378175, 6.02306971378175,      6.05683769533381, 6.20754086879516, 4.93746215949662, 5.52416256345089,      5.46565510857314, 5.46565510857314, 5.1514664212482, 4.81109980295855,      4.89009258041755, 5.51078547454581, 5.67094725420518, 4.61812725480087,      4.71207116352008, 4.50145006484821), PROX_MALL = c(0.368960166061844,      0.293469301127063, 0.293469301127063, 0.332985789848242,      0.44820920236387, 0.44820920236387, 0.415453175187746, 0.293332886646226,      0.572150632107275, 1.29251563056945, 1.2281628510896, 1.2281628510896,      0.848351644608041, 0.685370188976197, 0.524781909718914,      1.33172083977874, 1.56665946009711, 0.290995843291254, 0.420489734799516,      0.244046547559164), PROX_CHAS = c(0.298496878246672, 0.116110892529562,      0.116110892529562, 0.0280349864391529, 0.0951865321113252,      0.0951865321113252, 0.0860247998100326, 0.0279718763032621,      0.0640474788759872, 0.202999736112437, 0.240903750709302,      0.240903750709302, 0.159666076311523, 0.165994533154508,      0.0301364724824846, 0.0869328465249217, 0.173647795570322,      0.0122221533760307, 0.110042750971165, 0.0462846720247782     ), PROX_SUPERMARKET = c(0.364789845186166, 0.203860721712114,      0.203860721712114, 0.185142915152075, 0.28799517805095, 0.28799517805095,      0.248046397132554, 0.114546579488019, 0.315915165677582,      0.202998478162502, 0.240902416159861, 0.240902416159861,      0.360029455717415, 0.346795592234613, 0.275738565320567,      0.0869315055470345, 0.173649067116538, 0.0373112013983995,      0.110042446678578, 0.169442491353445), WITHIN_350M_KINDERGARTEN = c(1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L,      0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 7L, 7L, 7L,      6L, 6L, 6L, 8L, 4L, 2L, 2L, 2L, 3L, 4L, 4L, 2L, 1L, 6L, 4L,      4L), WITHIN_350M_BUS = c(10L, 10L, 10L, 9L, 9L, 9L, 11L,      9L, 3L, 5L, 4L, 4L, 4L, 7L, 3L, 6L, 9L, 6L, 7L, 4L), WITHIN_1KM_PRISCH = c(1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 3L, 3L, 3L, 1L, 2L, 2L,      2L, 2L, 4L, 2L), DNeighbour = c(0, 250.343345298834, 253.721570072776,      358.142421572899, 441.607588058405, 444.842421284742, 446.447965348978,      480.028224840738, 1483.52503540409, 1483.84725836034, 1484.47282854676,      1485.903557601, 1494.75061566394, 1511.91680975976, 1530.89340885181,      1595.00206276125, 1735.00428456571, 1740.36402370771, 1804.78181040282,      1839.31781955368)), row.names = c("567", "321", "509", "10",      "91", "850", "619", "524", "390", "48", "134", "126", "561",      "824", "999", "192", "454", "65", "968", "816"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.963293148052863, 0.962305370140001, 0.925609745366704,      0.888033482844823, 0.886436714566764, 0.885640400861662,      0.868416309039595, 0.122119991168434, 0.121922538648851,      0.121539534270838, 0.120665233305762, 0.115310746510173,      0.105182281248499, 0.0944027435691183, 0.0615116432233307,      0.0121462323991982, 0.0109629305019797, 0.00138387757597093,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       15195473030 
R squared (OOB):                  0.6399284 

$Forests[[568]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(491000, 350000, 460000,      450000, 445000, 485000, 347000, 370000, 455000, 335000, 290000,      334008, 415000, 585000, 390000, 3e+05, 370000, 330000, 450000,      345000), floor_area_sqm = c(92, 93, 93, 93, 93, 93, 90, 90,      99, 102, 92, 103, 92, 91, 92, 99, 102, 103, 92, 90), storey_order = c(9L,      3L, 7L, 4L, 7L, 10L, 2L, 3L, 2L, 4L, 4L, 2L, 2L, 10L, 1L,      1L, 3L, 2L, 4L, 5L), remaining_lease_mths = c(1137, 1018,      1135, 1131, 1117, 1112, 971, 977, 951, 940, 690, 917, 1132,      995, 1132, 697, 927, 937, 1135, 937), PROX_CBD = c(15.0782917837809,      14.9930585550483, 15.0332592042754, 15.1194109037639, 14.9897790388493,      14.8542518275748, 14.6079806280174, 14.489397367385, 14.3012013074868,      14.4474740114555, 14.8961777358487, 14.2719972222741, 14.6122009832922,      14.2059144167977, 14.6424103631698, 14.8036441916204, 14.12564920201,      14.5165027597446, 14.5310939664424, 14.2787185061121), PROX_ELDERLYCARE = c(0.811417024562957,      0.766085625885291, 0.653175957864657, 0.632846087105322,      0.622451014094897, 0.671766786446111, 0.966138977916587,      0.929205058584809, 0.93663965535868, 1.50338082315219, 0.090689252710872,      1.50921581969441, 1.68824062303628, 0.923774065318005, 1.72557175775889,      0.0965145667339982, 1.44816412197145, 0.389463724969334,      1.79186944623163, 1.77826193055387), PROX_HAWKER = c(0.241120378832392,      0.230353911902381, 0.344843972730765, 0.399490681633122,      0.366862032582334, 0.3485650804915, 0.31691894051251, 0.478869651742105,      0.693090021451824, 0.588144724666333, 1.02395142210687, 0.684102697062058,      0.707122679385598, 0.829910539202106, 0.740384095011384,      1.07372228066705, 0.778468578249857, 1.0617726338971, 0.816792492128141,      0.865181709866835), PROX_MRT = c(0.604690005035212, 0.545901722651448,      0.587916938270161, 0.674936552563307, 0.550628186781769,      0.41695674877223, 0.188565130994124, 0.0437298005890327,      0.189883903502813, 0.224566301285939, 0.437229774651496,      0.347262283963267, 0.295449456212788, 0.127617925270923,      0.312698200175978, 0.363746184676816, 0.476637705223286,      0.0901878473788138, 0.197201307651512, 0.14195902454703),          PROX_PARK = c(0.889047622652367, 0.937160160632966, 0.858154923175006,          0.773048101136696, 0.886983007034967, 1.00246315577637,          1.07918529837209, 0.935596264101672, 0.812876767906526,          1.55939681176166, 0.600185611341118, 1.38760566459916,          1.76906915549279, 0.716522496183652, 1.78460824921244,          0.497172938499345, 1.20701221478007, 0.278686390612803,          1.79335149216305, 1.51686048726609), PROX_GOOD_PRISCH = c(5.77803713337603,          5.6774973866509, 5.67093979106873, 5.74516136190441,          5.61521578968116, 5.49301939379528, 5.35450137646782,          5.1963266927986, 4.98177209241419, 5.45861643017911,          5.28070608730985, 5.26118802945754, 5.7298925008129,          4.85056771881294, 5.77937603269072, 5.17691715074399,          5.06260566207177, 4.93093863547281, 5.7030752613132,          5.42826997650874), PROX_MALL = c(0.79347213158724, 0.691703794200818,          0.671424081833306, 0.744876648240093, 0.615054651957031,          0.497662931100388, 0.479398555662368, 0.345992784345898,          0.236735170365795, 0.12145856762689, 0.252669380741675,          0.108121271181015, 0.426875162675013, 0.148456555084967,          0.482269498416602, 0.278400001713995, 0.287395381957405,          0.38830118917563, 0.466036051693473, 0.338911837083335         ), PROX_CHAS = c(0.128222338920945, 0.094086780959658,          0.0438337826764906, 0.0812821875339188, 0.101756162724623,          0.139715392485403, 0.166948923507452, 3.77135010377852e-08,          0.214782230853987, 0.121458549123021, 0.252669404800451,          0.108121286081234, 0.270793953405505, 0.148456588323488,          0.280031834846542, 0.190291087196022, 0.182188888557241,          0.0918929757518676, 0.162368565956873, 0.18872293939054         ), PROX_SUPERMARKET = c(0.286089695736963, 0.189746195069109,          0.238848984717478, 0.325050502595441, 0.215874380558773,          0.118312809115248, 0.218811722485387, 0.31785895032531,          0.172194506074768, 0.134916350552101, 0.186322037460738,          0.105248463653719, 0.270794118098451, 0.154204342539502,          0.280032026158491, 0.190291125096353, 0.277268812686258,          0.354026220875794, 0.162368758687164, 0.188722783027928         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 0L, 0L, 1L,          2L, 2L, 1L, 1L, 1L, 2L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 3L,          2L, 5L, 6L, 5L, 3L, 4L, 5L, 7L, 3L, 3L, 3L, 5L, 4L, 6L         ), WITHIN_350M_BUS = c(10L, 11L, 10L, 12L, 11L, 11L,          13L, 13L, 15L, 11L, 7L, 10L, 6L, 17L, 6L, 9L, 10L, 7L,          8L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 3L, 3L, 3L, 4L,          5L, 5L, 3L, 5L, 3L, 5L, 4L, 3L, 3L, 3L, 5L, 2L, 3L, 4L         ), DNeighbour = c(0, 102.759970637586, 174.606550695728,          188.109641835635, 220.520809502617, 299.599657480652,          468.156273066583, 596.734042398203, 806.955285425899,          823.68335957814, 901.833549945593, 918.52920585456, 921.188744866558,          931.870298904342, 950.637335229961, 971.709438285595,          997.941409664057, 1016.35929698989, 1037.47442634939,          1099.3122676452)), row.names = c("568", "836", "865",      "299", "500", "159", "385", "374", "717", "826", "87", "381",      "489", "146", "323", "995", "703", "592", "609", "329"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.98260060179619, 0.950180894229929, 0.942296154536104, 0.921139429205369,      0.856967467283046, 0.670172790950764, 0.497506147659685,      0.212672019127148, 0.192363125455605, 0.106933497179085,      0.091118227957584, 0.0886903560366335, 0.0792031157102588,      0.0636029955210776, 0.0478195639775298, 0.0309488043753191,      0.0210899760635125, 0.0119549202713951, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5.396e+09 
R squared (OOB):                  0.0630189 

$Forests[[569]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 430000, 350880,      410000, 670000, 385000, 388000, 421000, 7e+05, 425000, 392000,      540000, 415000, 463888, 475000, 578888, 350000, 525000, 338000,      558000), floor_area_sqm = c(91, 91, 91, 93, 92, 104, 104,      93, 92, 108, 103, 92, 92, 95, 93, 95, 105, 95, 93, 92), storey_order = c(1L,      4L, 2L, 4L, 5L, 4L, 3L, 4L, 4L, 3L, 2L, 6L, 2L, 1L, 4L, 2L,      1L, 5L, 5L, 6L), remaining_lease_mths = c(790, 777, 785,      788, 1121, 740, 751, 789, 1126, 820, 833, 1142, 1130, 1140,      1130, 1134, 837, 1141, 860, 1136), PROX_CBD = c(10.6917699702976,      10.4167519306418, 10.3813809316332, 10.7402382849343, 11.0595651330709,      10.2659136784881, 10.2659136784881, 10.8005053894847, 11.1573644039326,      10.7884209511687, 10.8307618753175, 11.3687765497058, 11.3687765497058,      11.4133195883395, 11.4536743231806, 11.5493041544933, 10.9742090734032,      11.6190928108465, 9.71808261065178, 11.665784828589), PROX_ELDERLYCARE = c(1.07660186858624,      0.852176862644424, 0.833489789321986, 1.05196585123006, 1.41694161867716,      0.737818764037149, 0.737818764037149, 1.11154389564577, 1.34447435494956,      1.11323464510705, 1.12487398858542, 1.27208236570677, 1.27208236570677,      1.61512702812623, 1.19895989384568, 1.47184415110161, 0.852070403211021,      1.40356458884146, 0.288600487645686, 1.35367167055226), PROX_HAWKER = c(1.35937058559257,      1.55256346901264, 1.5910354083573, 1.02652926791064, 1.19495083476736,      1.65941342147148, 1.65941342147148, 0.918995125488027, 1.10011050744246,      0.812377793689625, 0.775872885593274, 1.07923254025891, 1.07923254025891,      1.4377955077332, 1.02903329925728, 1.35052465166479, 0.487483409830997,      1.37423229702662, 1.10941781168001, 1.3549106116919), PROX_MRT = c(0.753106278920522,      0.686459009674335, 0.699917284291438, 0.546812793492647,      0.991329354536752, 0.684374477874155, 0.684374477874155,      0.566932323762424, 0.876646963171676, 0.526269526678983,      0.568072215940967, 0.671331594421278, 0.671331594421278,      0.8250506195824, 0.573574303209013, 0.653877184653349, 0.534522073584246,      0.615423035680267, 0.750225097750018, 0.561684506891731),          PROX_PARK = c(0.536819237128991, 0.613918856542286, 0.616002692100522,          0.401614025373747, 0.275833477585303, 0.570788416471153,          0.570788416471153, 0.370936327890873, 0.189026691537682,          0.467051942358664, 0.443949121553361, 0.294690087030438,          0.294690087030438, 0.60176146852012, 0.341254943367627,          0.597750851398377, 0.623434891123849, 0.654992910383756,          0.552878075981585, 0.671016599957339), PROX_GOOD_PRISCH = c(2.68318776685765,          2.62113030487697, 2.6286340652406, 2.39141973384207,          2.8385375863655, 2.58742850928016, 2.58742850928016,          2.34700895725274, 2.83177349547833, 2.2131785217075,          2.22887532154294, 2.95589454100459, 2.95589454100459,          3.26097143466547, 2.96812409551872, 3.26501815247482,          2.09882394138718, 3.31796907605439, 2.3197363622043,          3.32537175969635), PROX_MALL = c(0.459259689573629, 0.350991485118426,          0.365493224544838, 0.344610557976029, 0.76911725394793,          0.364765391124967, 0.364765391124967, 0.363372953846058,          0.831480717149744, 0.340751907865098, 0.384053234723219,          0.814743407183115, 0.814743407183115, 0.979751787656279,          0.714729745574342, 0.808458836713889, 0.606835933426222,          0.768943294332632, 0.64580888250568, 0.714662485508778         ), PROX_CHAS = c(0.0626028682349028, 0.302383860370021,          0.28517644723447, 0.106045676778667, 0.0661119226245057,          0.204257711541377, 0.204257711541377, 0.111289200730163,          0.0819321575559949, 0.260152478655286, 0.2644107607892,          0.257507761616553, 0.257507761616553, 0.136218265087875,          0.31407050179696, 0.0498455969042401, 0.20965056306942,          0.119929951445322, 0.122290728478786, 0.167944095298073         ), PROX_SUPERMARKET = c(0.550262392018624, 0.519095500550079,          0.49431722643315, 0.357992185767737, 0.444069124865739,          0.384238743245603, 0.384238743245603, 0.386863986973968,          0.408274605358357, 0.363982132031921, 0.407226974513028,          0.30094246041235, 0.30094246041235, 0.0830307595499944,          0.345653574215055, 0.0982179911218008, 0.477398814511427,          0.16327623873727, 0.190117050177684, 0.215917356790886         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 2L, 1L,          1L, 2L, 1L, 1L, 2L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 6L, 6L, 3L, 3L, 6L,          6L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 1L         ), WITHIN_350M_BUS = c(7L, 9L, 10L, 6L, 9L, 8L, 8L, 9L,          6L, 8L, 11L, 10L, 10L, 4L, 8L, 4L, 8L, 3L, 6L, 4L), WITHIN_1KM_PRISCH = c(3L,          2L, 2L, 5L, 3L, 2L, 2L, 5L, 3L, 6L, 6L, 3L, 3L, 1L, 4L,          2L, 6L, 2L, 2L, 2L), DNeighbour = c(0, 272.895747701644,          313.96780978673, 361.322533681133, 376.948642316797,          424.430155920388, 427.933897508045, 455.387285607835,          481.130566051044, 609.17838455634, 626.518875763693,          691.268737189775, 697.390143127313, 757.369604700045,          782.579628381984, 869.1358493551, 930.863136379419, 943.863787468778,          967.508540403345, 981.427548644042)), row.names = c("569",      "480", "626", "6", "407", "501", "77", "56", "425", "696",      "743", "876", "157", "303", "132", "772", "239", "160", "624",      "830"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.851343243827372,      0.805789945017825, 0.747287787340491, 0.726723902726584,      0.660930931623238, 0.65589917318391, 0.615753091630592, 0.577097313870595,      0.37788502407819, 0.35102932210104, 0.253905866040446, 0.245089762377896,      0.16360085008836, 0.132620244396353, 0.0465447033082531,      0.0100777775651241, 0.00563764956318697, 0.000793192869502246,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5258058277 
R squared (OOB):                  0.545033 

$Forests[[570]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(303888, 335000, 355000,      338000, 293000, 315000, 325000, 340000, 340000, 320000, 362000,      336000, 370000, 348000, 416000, 370000, 380000, 380000, 360000,      370000), floor_area_sqm = c(90, 90, 94, 94, 86, 87, 90, 102,      90, 91, 94, 90, 95, 95, 93, 93, 93, 93, 93, 93), storey_order = c(5L,      5L, 4L, 2L, 1L, 5L, 4L, 2L, 4L, 1L, 4L, 2L, 5L, 1L, 6L, 1L,      2L, 2L, 2L, 4L), remaining_lease_mths = c(1008, 998, 1070,      1076, 1006, 1004, 973, 968, 1011, 980, 976, 966, 977, 968,      1132, 1125, 1132, 1136, 1135, 1142), PROX_CBD = c(19.0279685600245,      18.976831626196, 18.9417612550563, 18.893500205596, 18.9558501171738,      18.9558501171738, 18.5353901232527, 18.6342583478867, 18.5954829873069,      18.4122801485573, 18.3273029006797, 18.263890012402, 18.2449080671561,      18.0323194354466, 18.2305685201872, 18.2305685201872, 18.1279148711176,      18.1376577985599, 18.1376577985599, 18.1918996486136), PROX_ELDERLYCARE = c(3.26154359027314,      3.28231449363414, 3.09832013994742, 3.10102691254995, 3.04148171914245,      3.04148171914245, 3.18651864771223, 2.72992435028626, 3.21245115339435,      3.05606256580079, 2.7120525382807, 2.93603771613334, 2.54228790651909,      2.88259030935981, 2.5602844754638, 2.5602844754638, 2.51087611030153,      2.49441526227585, 2.49441526227585, 2.49884668013329), PROX_HAWKER = c(0.990561993667382,      0.923592674397851, 0.981837341088666, 0.926259022488312,      1.03425383708264, 1.03425383708264, 0.491879726860981, 0.947673142820091,      0.468862715548992, 0.284310921582288, 0.729165861663657,      0.135415800319106, 0.859760115655931, 0.459055170630849,      0.555435817196439, 0.555435817196439, 0.487567663506197,      0.528296501129656, 0.528296501129656, 0.600683099416637),          PROX_MRT = c(0.880588410111357, 0.822784932057268, 0.831940647091921,          0.777214903782309, 0.87145727172961, 0.87145727172961,          0.375479822529604, 0.717283111076423, 0.485913485771313,          0.34633408104891, 0.470919202147399, 0.269488316579814,          0.597257652192269, 0.228324090957444, 0.810957189319413,          0.810957189319413, 0.74928998522808, 0.789676869843372,          0.789676869843372, 0.859544339931905), PROX_PARK = c(1.5140651316136,          1.4431849310919, 1.58031197441792, 1.53153013283021,          1.64892029001525, 1.64892029001525, 1.15334089580929,          1.68545701841371, 0.966363588730214, 0.872887750975024,          1.51959638840156, 0.826451671225411, 1.66089445329223,          1.25712692932115, 0.269300347674678, 0.269300347674678,          0.317511189836545, 0.276326305891841, 0.276326305891841,          0.210024151789668), PROX_GOOD_PRISCH = c(9.37202430611723,          9.32093903042593, 9.2863930262578, 9.23793284137011,          9.30119351841798, 9.30119351841798, 8.87993213136606,          8.98296462693421, 8.94334048589707, 8.76068312560123,          8.6741083827629, 8.61262144573917, 8.59525181849715,          8.37645219680457, 8.60245346442475, 8.60245346442475,          8.49670627721454, 8.50873818737911, 8.50873818737911,          8.56698720173726), PROX_MALL = c(0.951179576311185, 0.897736377807805,          0.886414086630636, 0.833273819621717, 0.918650450187965,          0.918650450187965, 0.460655941356388, 0.719594778264249,          0.594166870248601, 0.458641270318743, 0.437943127987326,          0.374925429890344, 0.537890109309282, 0.12060760008054,          0.89702383385846, 0.89702383385846, 0.819155488013484,          0.814982856398022, 0.814982856398022, 0.849415447505653         ), PROX_CHAS = c(0.184556275618948, 0.237819060284531,          0.0880613138842689, 0.143741090403558, 0.067384164825537,          0.067384164825537, 0.165734202429707, 0.294409401108374,          0.186588167457245, 0.182706372800723, 0.319053536773146,          0.0541347282504724, 0.274147949012332, 0.120607657412939,          0.080524556228062, 0.080524556228062, 0.0462043949149095,          0.0547102897319272, 0.0547102897319272, 0.110754204684376         ), PROX_SUPERMARKET = c(0.3125742651816, 0.322795161753339,          0.175726554209016, 0.218188374485768, 0.102761308178796,          0.102761308178796, 0.167679568764744, 0.247755307750907,          0.195869762300225, 0.182706945219403, 0.198027823348086,          0.0541355525390397, 0.161035318973668, 0.119017844673248,          0.512175097136782, 0.512175097136782, 0.467157902200199,          0.504768063926141, 0.504768063926141, 0.565642852259794         ), WITHIN_350M_KINDERGARTEN = c(2L, 3L, 2L, 2L, 2L, 2L,          2L, 1L, 2L, 2L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 4L, 4L, 4L, 4L, 4L,          7L, 4L, 4L, 7L, 6L, 5L, 4L, 4L, 3L, 3L, 3L, 2L, 2L, 2L         ), WITHIN_350M_BUS = c(6L, 9L, 8L, 8L, 8L, 8L, 12L, 5L,          10L, 12L, 12L, 11L, 9L, 14L, 7L, 7L, 10L, 10L, 10L, 6L         ), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 5L,          4L, 5L, 5L, 5L, 4L, 5L, 4L, 2L, 2L, 2L, 2L, 2L, 2L),          DNeighbour = c(0, 71.6566054147067, 157.150164782739,          174.995970322935, 218.716071369492, 221.791303930774,          514.268567738263, 559.408190505065, 578.70395348903,          736.087294959395, 762.30041998931, 866.351235029335,          909.964262609577, 1000.14027228849, 1262.83414990182,          1267.6258948585, 1284.19787164248, 1307.09464124882,          1318.19176180584, 1328.17184474899)), row.names = c("570",      "915", "932", "745", "951", "52", "838", "7", "901", "722",      "873", "548", "5", "354", "401", "770", "461", "285", "378",      "600"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994186985621755,      0.972196438209242, 0.965581539573408, 0.946499969447611,      0.945006344802402, 0.722629052091081, 0.676673792997225,      0.65634744378016, 0.480041529533221, 0.449683827302195, 0.330072883795256,      0.28153974543749, 0.187454819119511, 0.00920974008083952,      0.00793770246069909, 0.00424075922730632, 0.000991420687135065,      0.000224155940915286, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       619448148 
R squared (OOB):                  0.2834994 

$Forests[[571]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 4e+05, 368000,      370000, 342000, 390000, 3e+05, 395888, 425000, 332000, 371000,      365000, 345000, 310000, 390000, 338000, 4e+05, 4e+05, 330000,      430000), floor_area_sqm = c(100, 100, 100, 92, 105, 91, 94,      94, 93, 104, 91, 91, 92, 104, 90, 103, 91, 90, 104, 91),          storey_order = c(5L, 5L, 2L, 3L, 4L, 2L, 2L, 3L, 3L,          3L, 2L, 5L, 2L, 3L, 2L, 4L, 2L, 3L, 3L, 4L), remaining_lease_mths = c(935,          923, 937, 922, 822, 956, 817, 1063, 1029, 838, 957, 965,          974, 838, 947, 836, 956, 953, 847, 962), PROX_CBD = c(18.2155576397088,          18.2155576397088, 18.1853912561079, 18.2744201988815,          18.4174433264455, 17.980006840849, 18.4835571341017,          18.1899007658477, 18.2498667293237, 18.3394484051955,          17.630719557776, 17.6174166659189, 17.6174166659189,          18.2872060948971, 17.5579663674298, 18.1853470145009,          17.5146993337396, 17.5759295796121, 18.238428451998,          17.4594236905894), PROX_ELDERLYCARE = c(1.82774218733134,          1.82774218733134, 1.83831888483507, 1.91030467455468,          2.01990466694452, 1.69038013517483, 2.12772209584432,          2.0412967820292, 2.08641833813892, 1.68689945441126,          1.35614304544574, 1.58663462608392, 1.58663462608392,          1.57361264937598, 1.26304449634962, 1.46334015610348,          1.21552371031002, 1.07156662032258, 1.49823830734066,          1.1429422216578), PROX_HAWKER = c(0.218122417644225,          0.218122417644225, 0.267411626133086, 0.292675997882175,          0.365194571711665, 0.32947027962251, 0.47819209562201,          0.56403310040428, 0.574007707230075, 0.322806547864559,          0.550798352023498, 0.699652587196505, 0.699652587196505,          0.464971900021808, 0.610726758846462, 0.490406092071559,          0.65109908849923, 0.622851592932912, 0.548143788898404,          0.704564458032275), PROX_MRT = c(0.24629140143503, 0.24629140143503,          0.186589372260449, 0.25859759791353, 0.394110762668951,          0.131298797620671, 0.440067919828323, 0.225540054498686,          0.270260950193414, 0.722989849955079, 0.481509556817778,          0.430901962912929, 0.430901962912929, 0.870907467758581,          0.415424130147435, 0.888080533877704, 0.367017506823782,          0.449846795062068, 0.950317003394984, 0.304209523777939         ), PROX_PARK = c(0.449638685926872, 0.449638685926872,          0.431621232177097, 0.366705585759005, 0.305293053539538,          0.597192139646456, 0.199823808978303, 0.321396863181507,          0.261745107633199, 0.845903786092674, 0.706852169587072,          0.815337468455046, 0.815337468455046, 0.791043930625847,          0.622915525490857, 0.741201414908801, 0.57589083993138,          0.650211227804106, 0.690805332809177, 0.515475588097358         ), PROX_GOOD_PRISCH = c(7.54917724573578, 7.54917724573578,          7.51998659904145, 7.60907430161507, 7.75189187586876,          7.31481473864251, 7.82005706650481, 7.5338271442293,          7.5938744989762, 7.67457853159282, 6.96345421686322,          6.95710824587607, 6.95710824587607, 7.62743554697163,          6.89020500321914, 7.52724739525134, 6.84682201594428,          6.90999703096039, 7.58243576478886, 6.79149624878531),          PROX_MALL = c(0.249434383428027, 0.249434383428027, 0.304347432784639,          0.31638525459609, 0.368677515727611, 0.38257003715367,          0.482762920255867, 0.601163950940652, 0.606938778613173,          0.270650184250749, 0.581015113036356, 0.753687860987251,          0.753687860987251, 0.369641594977131, 0.488271313828636,          0.362005799982455, 0.437698049352173, 0.456006423255308,          0.291730094824992, 0.366883459562171), PROX_CHAS = c(0.246283235408848,          0.246283235408848, 0.186582621643492, 0.258594927218762,          0.279695275413424, 0.131281394661179, 0.297885151722028,          0.225556636612455, 0.270276303087269, 0.186439783883369,          0.481496129777697, 0.430898255483663, 0.430898255483663,          0.000458346083760352, 0.40162373925963, 0.11010335009361,          0.354009255575758, 0.401255348981324, 0.0811018368302058,          0.293637386768921), PROX_SUPERMARKET = c(0.233030240431279,          0.233030240431279, 0.289364184128333, 0.297968471640837,          0.3481604922123, 0.37748716441855, 0.402675729717655,          0.37174850741073, 0.384544806397502, 0.279112228601587,          0.432325009404537, 0.467885028141574, 0.467885028141574,          0.367596841627256, 0.339170507836652, 0.36017462873485,          0.288534867112482, 0.338457664260807, 0.289827711639516,          0.217741105325511), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 4L, 2L, 2L, 2L, 6L, 2L,          7L, 2L, 1L, 4L, 2L), WITHIN_350M_CHILDCARE = c(7L, 7L,          7L, 7L, 7L, 5L, 9L, 5L, 6L, 4L, 6L, 4L, 4L, 4L, 6L, 4L,          6L, 5L, 3L, 6L), WITHIN_350M_BUS = c(15L, 15L, 16L, 17L,          14L, 14L, 12L, 13L, 11L, 11L, 8L, 6L, 6L, 9L, 9L, 11L,          10L, 8L, 10L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 4L,          5L, 5L, 3L, 5L, 4L, 4L, 6L, 4L, 3L, 3L, 5L, 4L, 5L, 4L,          4L, 4L, 4L), DNeighbour = c(0, 9.35971903868024, 56.9206403686621,          89.3281798361046, 207.973246366011, 238.224935257821,          307.923300589761, 352.815644531066, 355.849818644287,          504.007138005063, 581.758027982641, 633.502041685659,          636.809429873686, 665.510445479178, 669.081350315116,          707.229344139118, 716.060516136677, 759.779003043301,          763.624227807995, 779.467932352212)), row.names = c("571",      "643", "31", "835", "257", "910", "774", "422", "369", "693",      "547", "220", "14", "414", "545", "857", "93", "357", "839",      "937"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99971164478957,      0.989363137922287, 0.973905489682809, 0.862688185581171,      0.821911450397356, 0.712236544216009, 0.63221611629904, 0.626600719502475,      0.338611306018439, 0.196211422742106, 0.115232668218262,      0.110585691305759, 0.0734539934424539, 0.0692637677067843,      0.0312457231169683, 0.0243599537391362, 0.00248809972509094,      0.00161921376935264, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       912599721 
R squared (OOB):                  0.3008444 

$Forests[[572]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 343000, 380000,      370000, 370000, 350000, 310000, 325000, 295000, 380000, 420000,      420000, 390000, 320000, 340000, 345000, 345000, 335000, 345000,      325000), floor_area_sqm = c(103, 102, 93, 93, 103, 104, 104,      104, 105, 93, 93, 92, 126, 106, 101, 104, 102, 101, 114,      90), storey_order = c(5L, 5L, 1L, 1L, 4L, 2L, 1L, 1L, 1L,      1L, 3L, 6L, 2L, 1L, 5L, 4L, 2L, 2L, 2L, 4L), remaining_lease_mths = c(944,      935, 1142, 1139, 881, 863, 879, 872, 870, 1138, 1139, 1104,      879, 851, 943, 862, 935, 933, 839, 912), PROX_CBD = c(15.6615925135045,      15.6558233565228, 15.6174435761395, 15.8422849591204, 15.9139497277605,      15.9139497277605, 15.9652370890998, 15.9652370890998, 16.027241877126,      15.9652529785268, 15.9652529785268, 16.0058570800758, 16.1769042321823,      15.9983120826665, 15.9284058495794, 16.2035530975804, 16.0814208174046,      16.135389698045, 15.4582319270764, 16.3759795802925), PROX_ELDERLYCARE = c(0.372854461013726,      0.268146833149962, 0.457575537702088, 0.241353796602158,      0.471057675436291, 0.471057675436291, 0.372962984236141,      0.372962984236141, 0.401697186037664, 0.120425003900544,      0.120425003900544, 0.0922651494707867, 0.382017171357745,      0.541237256511776, 0.260351961534281, 0.462412199513001,      0.129424766752979, 0.214357316635524, 0.319622441582349,      0.437652472603004), PROX_HAWKER = c(2.39243139523594, 2.27183532495414,      2.21004723991438, 2.37354129025836, 2.34701070601947, 2.34701070601947,      2.45115541279444, 2.45115541279444, 2.44772974464855, 2.36922200206298,      2.36922200206298, 2.393526972262, 2.55739022352562, 2.1818192257633,      2.2342618496891, 2.51024920878341, 2.40830007300065, 2.40272097648418,      1.7245004017694, 2.71828200917597), PROX_MRT = c(0.499275570100955,      0.370313443989706, 0.70935210619912, 0.721786411333246, 0.424613907535265,      0.424613907535265, 0.52727924180445, 0.52727924180445, 0.538616250543522,      0.886101680623091, 0.886101680623091, 0.910164710677637,      0.674610535324426, 0.364450998520493, 1.02417718077332, 0.65447898159524,      1.00126993569874, 1.09323648573999, 0.233994550027949, 0.870089952652958     ), PROX_PARK = c(1.19384102986047, 1.16446299803307, 1.21748666352844,      1.42084473696832, 1.30337713627377, 1.30337713627377, 1.39203600576681,      1.39203600576681, 1.35146177086674, 1.58077599563476, 1.58077599563476,      1.6216647961598, 1.39748820590438, 1.05372411430502, 1.61207436869795,      1.32632916723033, 1.7154732425778, 1.7942088991982, 0.998254167239372,      1.49155883505512), PROX_GOOD_PRISCH = c(5.71328270316738,      5.73062396037349, 5.63578467655705, 5.8611108446886, 5.99275530970335,      5.99275530970335, 6.02718330754398, 6.02718330754398, 6.09534233388474,      5.96493131981452, 5.96493131981452, 6.00411547246196, 6.23706483495109,      6.12314921566155, 5.90870946924896, 6.27623366830878, 6.0710937852797,      6.11593822040069, 5.64801716169655, 6.4246273009838), PROX_MALL = c(0.238209845871265,      0.155488337640192, 0.401390812484646, 0.177442774283774,      0.338688619983659, 0.338688619983659, 0.238316612740974,      0.238316612740974, 0.275346491924215, 0.18546430077947, 0.18546430077947,      0.187934498474296, 0.292722816398213, 0.45623102577182, 0.350369242497661,      0.370949542105629, 0.261655001598387, 0.350342319635, 0.455554164929496,      0.409369768138594), PROX_CHAS = c(0.238209795937414, 0.155488306171375,      0.187858028295528, 0.177442804982894, 0.338688583692834,      0.338688583692834, 0.238316573509266, 0.238316573509266,      0.275346446899555, 0.185464348558652, 0.185464348558652,      0.187934543511456, 0.292722768811081, 0.290215734280461,      0.35036929019185, 0.370949494121523, 0.26165503944411, 0.350342354631045,      0.158017550603297, 0.409369730284335), PROX_SUPERMARKET = c(0.238833101010687,      0.152010752053411, 0.412009517866082, 0.197153631350279,      0.112474666082431, 0.112474666082431, 0.177610526119132,      0.177610526119132, 0.141316208924405, 0.198556813498254,      0.198556813498254, 0.197516435852273, 0.254565333705719,      0.162067612034701, 0.363015443397577, 0.235998227482853,      0.265481412722203, 0.352223797136593, 0.387973705585917,      0.389543937857684), WITHIN_350M_KINDERGARTEN = c(3L, 4L,      3L, 2L, 3L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 5L, 1L, 0L, 3L, 0L,      0L, 1L, 2L), WITHIN_350M_CHILDCARE = c(5L, 8L, 3L, 7L, 9L,      9L, 6L, 6L, 8L, 5L, 5L, 5L, 8L, 6L, 3L, 5L, 5L, 2L, 8L, 2L     ), WITHIN_350M_BUS = c(16L, 14L, 15L, 15L, 15L, 15L, 14L,      14L, 12L, 15L, 15L, 14L, 9L, 12L, 10L, 7L, 13L, 9L, 14L,      5L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,      3L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 2L), DNeighbour = c(0,      128.778152517185, 218.080551302499, 265.863472246754, 304.512144765725,      306.333020678748, 312.54499795304, 314.133262907952, 381.690319613428,      437.483957776489, 445.746979770351, 475.428524978067, 517.226015745264,      532.38661542202, 547.104901018114, 561.623174635762, 569.802016722339,      660.844791012775, 668.311857749935, 706.834221468388)), row.names = c("572",      "450", "766", "585", "927", "959", "490", "566", "463", "913",      "137", "154", "54", "888", "705", "806", "890", "88", "383",      "974"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.934715370441818,      0.818678196829123, 0.737063773479794, 0.663250054610958,      0.659628867250355, 0.647188953111755, 0.643987553271097,      0.501830906321185, 0.380590666790578, 0.362780631878153,      0.299851227070571, 0.215799068987486, 0.187222125505258,      0.160713338142958, 0.135919200619853, 0.122605331377134,      0.0158494485524355, 0.0112422503858799, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       816260433 
R squared (OOB):                  0.2652765 

$Forests[[573]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(436000, 440000, 435000,      420000, 418000, 460000, 420000, 415000, 456500, 395000, 445000,      440000, 425000, 420000, 450000, 441000, 358000, 365000, 450000,      438000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 94, 94, 92, 94, 94, 94, 93, 93, 94, 93, 94), storey_order = c(7L,      8L, 2L, 5L, 6L, 7L, 6L, 8L, 8L, 4L, 6L, 5L, 6L, 7L, 7L, 6L,      1L, 1L, 9L, 5L), remaining_lease_mths = c(1139, 1142, 1128,      1132, 1129, 1125, 1142, 1140, 1144, 1113, 1109, 1124, 1119,      1120, 1119, 1097, 1103, 1095, 1136, 1076), PROX_CBD = c(12.042332185553,      12.042332185553, 12.042332185553, 12.042332185553, 12.02897658153,      12.02897658153, 12.02897658153, 12.02897658153, 11.9527102757424,      11.9744040829633, 12.1122271384014, 12.0234479092478, 11.9828723130509,      12.0119641769274, 12.0119641769274, 11.8078122246038, 11.8075546541859,      11.7965908296893, 12.1741021183779, 11.9414743986494), PROX_ELDERLYCARE = c(0.786890441142101,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.841755023464642, 0.819362766143575, 0.738781707341689,      0.629785153682861, 0.938035651111226, 0.710325725805382,      0.673044116243487, 0.673044116243487, 0.95260617550949, 0.922118515238085,      1.00802268588986, 0.519600844901231, 0.687500817542951),          PROX_HAWKER = c(0.369655971945997, 0.369655971945997,          0.369655971945997, 0.369655971945997, 0.409616357379742,          0.409616357379742, 0.409616357379742, 0.409616357379742,          0.27814297307049, 0.217370340361849, 0.337796349528525,          0.507473565259923, 0.20448046373977, 0.222580914455278,          0.222580914455278, 0.262687630178652, 0.209140712961875,          0.337854809554552, 0.375471053349032, 0.147098227142532         ), PROX_MRT = c(0.298263347673859, 0.298263347673859,          0.298263347673859, 0.298263347673859, 0.331072457322778,          0.331072457322778, 0.331072457322778, 0.331072457322778,          0.200702114351669, 0.167322140356011, 0.302747284955937,          0.394231498000209, 0.170867756883987, 0.201095784108649,          0.201095784108649, 0.173777829752023, 0.120215557602138,          0.249549573241666, 0.338849049026276, 0.183575431830776         ), PROX_PARK = c(0.542226246468638, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.529446955515876,          0.529446955515876, 0.529446955515876, 0.529446955515876,          0.643017670933737, 0.679906922269617, 0.576425078157325,          0.506408767470305, 0.697136724289492, 0.691047645736797,          0.691047645736797, 0.746013140888617, 0.747098338531098,          0.739061594864021, 0.612679613149166, 0.807374064658721         ), PROX_GOOD_PRISCH = c(2.36724315061599, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36775586018775,          2.270018309959, 2.27223739349538, 2.408030235171, 2.39172047379238,          2.27447890050516, 2.29976812492723, 2.29976812492723,          2.13533890725473, 2.12338877581429, 2.14271827973834,          2.45580221931744, 2.21615815400514), PROX_MALL = c(0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.358721564938295, 0.358721564938295, 0.358721564938295,          0.358721564938295, 0.232344363503357, 0.214069216816763,          0.350899017798137, 0.441394824612777, 0.220402811054307,          0.251262654177611, 0.251262654177611, 0.17025857997445,          0.119447773727589, 0.241737870027575, 0.416829357908565,          0.22663965361209), PROX_CHAS = c(0.236223262451169, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.25157977989641,          0.146038815472653, 0.0939357367291076, 0.0703863092474096,          0.223839041128234, 0.0995919009989899, 0.131248018016709,          0.131248018016709, 0.170258520163124, 0.11944771257822,          0.101692541492014, 0.0461624602204791, 0.156140837156126         ), PROX_SUPERMARKET = c(0.33849828517841, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.314501000490003,          0.237998550380205, 0.22318738818849, 0.360308355053667,          0.244018176385425, 0.230351837454113, 0.261515416493987,          0.261515416493987, 0.168966076328732, 0.119571834445138,          0.17897337633635, 0.427183407476201, 0.236998053946951         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 5L, 7L, 7L, 2L, 6L, 6L, 6L, 4L, 4L, 3L, 7L, 6L         ), WITHIN_350M_BUS = c(10L, 10L, 10L, 10L, 11L, 11L,          11L, 11L, 12L, 10L, 7L, 10L, 7L, 6L, 6L, 11L, 10L, 9L,          5L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 1.22781674050463, 3.90875642830493,          6.18234906846411, 60.4119461050419, 60.5178527379372,          64.3003484640676, 64.6062168561619, 103.385352715347,          160.066314897796, 173.201164818749, 178.62712422029,          190.781906789533, 211.544950797677, 216.249697143438,          229.003191880745, 237.246582468837, 245.937583864471,          281.027278899757, 332.65922146762)), row.names = c("573",      "16", "908", "634", "700", "874", "318", "287", "749", "858",      "607", "502", "203", "167", "947", "439", "724", "41", "621",      "781"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999972754486048,      0.999723892567212, 0.999309342232247, 0.935128287311804,      0.934904468306424, 0.926672349128961, 0.925986508478906,      0.816154961424493, 0.59055147677205, 0.531319810848392, 0.506468663406366,      0.450363659633851, 0.354744853433895, 0.333410548862912,      0.276784391535917, 0.24144582977177, 0.205593195202818, 0.0819845094976612,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       779648663 
R squared (OOB):                  -0.04773421 

$Forests[[574]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(588000, 530000, 508000,      550000, 613000, 565000, 568000, 350000, 310000, 415000, 370000,      310000, 323000, 315000, 370000, 4e+05, 415000, 370000, 368000,      320000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 108,      84, 93, 104, 105, 104, 84, 92, 96, 92, 92, 92, 105), storey_order = c(2L,      2L, 1L, 2L, 4L, 5L, 4L, 1L, 2L, 4L, 4L, 3L, 2L, 3L, 1L, 2L,      5L, 1L, 2L, 3L), remaining_lease_mths = c(1119, 1108, 1121,      1124, 1119, 1117, 1117, 809, 811, 1141, 805, 827, 806, 804,      1090, 1098, 1144, 1146, 1100, 815), PROX_CBD = c(15.4444506298565,      15.4274201584828, 15.4653265021947, 15.4589251607201, 15.4589251607201,      15.5121102277751, 15.3987887594526, 15.5495667695359, 15.7493840144196,      15.719551353229, 15.7683454047388, 15.6029325535915, 15.5926635355646,      15.9050437012323, 15.0414874321427, 15.0414874321427, 15.9533618390172,      15.87024444961, 14.9752079088984, 15.4421704385289), PROX_ELDERLYCARE = c(0.64097589351183,      0.637452860447804, 0.595913887497293, 0.68815946921851, 0.68815946921851,      0.536539272984936, 0.578356799737993, 0.619297318170404,      0.392042381698264, 0.251997184681221, 0.584689505447093,      0.338118814836049, 0.348154483747206, 0.346730428331521,      0.180026828914976, 0.180026828914976, 0.251148223850536,      0.10693627682917, 0.199763345782594, 0.497101135842809),          PROX_HAWKER = c(0.396657168515828, 0.365463704587155,          0.380307090885425, 0.469966667540803, 0.469966667540803,          0.396815374523363, 0.294909248784724, 0.5213921544653,          0.617009737136425, 0.543607139892928, 0.791474322012874,          0.432858942767381, 0.438799857473275, 0.79668564149145,          0.135868389364205, 0.135868389364205, 0.802087399746937,          0.694651515851724, 0.202333554334061, 0.380223054122965         ), PROX_MRT = c(0.812282865657068, 0.843485398790606,          0.848209897671344, 0.729135125223405, 0.729135125223405,          0.8698145169005, 0.921278705332003, 0.711232187253978,          0.825478596695925, 1.04322565796881, 0.523772975672589,          1.13678031777592, 1.20427337027458, 0.750476153315833,          1.27219969611937, 1.27219969611937, 0.8851452059773,          1.09555222562317, 1.27457972333389, 1.36083949137777),          PROX_PARK = c(0.279663832574521, 0.308677700833154, 0.321827820326955,          0.194645215248471, 0.194645215248471, 0.357009242210065,          0.283836897691409, 0.20876400491182, 0.423881452963658,          0.60075194434184, 0.270342199592644, 0.578149656320062,          0.608584573014238, 0.475878847958935, 0.270313948020077,          0.270313948020077, 0.589052524814441, 0.707790886000148,          0.259935562114549, 0.607675278354181), PROX_GOOD_PRISCH = c(6.01089245018733,          6.00000717285666, 6.04109347904609, 6.00758296280353,          6.00758296280353, 6.0946998605156, 5.98797030068414,          6.09891773314498, 6.32317863359129, 6.34176102939636,          6.2828979894293, 6.24898658848638, 6.25532900137267,          6.45664561130608, 5.69200203864946, 5.69200203864946,          6.52939634907869, 6.49806658702102, 5.6171537261999,          6.14472917023144), PROX_MALL = c(0.640411632029909, 0.657665812567692,          0.62067023459119, 0.632880647427991, 0.632880647427991,          0.577683661914992, 0.692287086677849, 0.541358966367059,          0.340817581482914, 0.460595397283409, 0.400271919676516,          0.60644342729779, 0.657431321444681, 0.18299798168314,          0.767711199656331, 0.767711199656331, 0.161178852361569,          0.388975340293238, 0.689421511186311, 0.860369947035052         ), PROX_CHAS = c(0.128062594375949, 0.0964991818226865,          0.114224376246159, 0.206736748098593, 0.206736748098593,          0.14804241676277, 0.0335692412129841, 0.252209440491103,          0.347229964463676, 0.269388612247007, 0.406778788965278,          0.336408570757183, 0.337342861051532, 0.190026772642962,          0.163757574589084, 0.163757574589084, 0.165813590617473,          0.140210421841136, 0.230775629929228, 0.200516789487464         ), PROX_SUPERMARKET = c(0.312290330939399, 0.324468805261885,          0.284849629955282, 0.327859325274294, 0.327859325274294,          0.237787830949247, 0.352133387221186, 0.243797536441002,          2.98731019421495e-07, 0.219989756424723, 0.30290594542381,          0.338214025323699, 0.403551045123396, 0.179336240856332,          0.197268674737732, 0.197268674737732, 0.162291812321236,          0.287679129281494, 0.264202614673064, 0.291068212048821         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 1L,          0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(1L, 2L, 1L, 2L, 2L, 2L,          1L, 1L, 5L, 5L, 5L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 6L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 7L, 7L, 6L, 6L, 6L,          7L, 5L, 8L, 6L, 6L, 8L, 9L, 9L, 8L, 8L, 9L, 9L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 4L, 5L, 6L, 3L, 7L, 4L, 2L, 6L, 3L,          3L, 5L, 4L, 3L, 3L), DNeighbour = c(0, 23.3082754469867,          45.3597148739541, 85.655886754942, 89.4703692362893,          102.998950678721, 109.393308499374, 133.475108056051,          315.708177711185, 391.620339645498, 395.535633740008,          399.138003485325, 457.739674726017, 464.794377363941,          498.5575461612, 502.126782502498, 520.211807427828, 532.29593695929,          532.430497639246, 559.759892370796)), row.names = c("574",      "712", "962", "963", "455", "605", "714", "236", "956", "698",      "262", "924", "458", "59", "793", "632", "124", "582", "558",      "586"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996535264740116,      0.986910024936653, 0.953716502113815, 0.949556929941649,      0.93343025192167, 0.925073688602026, 0.889515491627572, 0.46498317577244,      0.260639907375372, 0.25069345633496, 0.24162789994665, 0.10975740945033,      0.0964261175904317, 0.0427327593976636, 0.0381498945467376,      0.0185809774912709, 0.00916238937175147, 0.00907506238276557,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7519064721 
R squared (OOB):                  0.332687 

$Forests[[575]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(790000, 740000, 520000,      685000, 518000, 710000, 390000, 380000, 580000, 705000, 708000,      430000, 545000, 416000, 575000, 680000, 550000, 715000, 662000,      675000), floor_area_sqm = c(95, 95, 101, 102, 93, 101, 84,      89, 90, 90, 90, 92, 101, 91, 101, 95, 102, 95, 95, 95), storey_order = c(6L,      4L, 1L, 4L, 4L, 2L, 1L, 5L, 5L, 7L, 5L, 2L, 1L, 4L, 6L, 4L,      3L, 6L, 3L, 2L), remaining_lease_mths = c(946, 954, 929,      929, 736, 933, 783, 653, 1035, 1041, 1031, 687, 938, 713,      932, 1084, 761, 1099, 1093, 1093), PROX_CBD = c(4.0690703028165,      4.09909964212454, 4.23995407977096, 4.15915934561343, 4.29040868967057,      4.27954241101507, 4.91139217141794, 4.19301197437796, 3.73787601157873,      3.66612298934168, 3.56091441303422, 5.17330173892321, 3.59494173601466,      5.10609859014938, 5.56255806753875, 6.04001281876484, 6.04257091454572,      6.06656257116635, 6.11286474740545, 6.15852201326599), PROX_ELDERLYCARE = c(1.5676876481467,      1.44919747885979, 1.29004325258708, 1.31127122179184, 1.28169673214061,      1.2084977158608, 0.53976690699019, 1.05465194719342, 0.836612932336762,      0.851600940224316, 0.885388735780595, 0.151830290872251,      0.692364880740494, 0.320090253923576, 0.0599829320550621,      0.545921172841312, 0.548656319889636, 0.516985202466339,      0.471592353212743, 0.428116600598184), PROX_HAWKER = c(0.124697776657811,      0.17841116959893, 0.242979724501726, 0.296724849746491, 0.224814451985556,      0.32780610994166, 0.526793317066312, 0.297392426102438, 0.15676751515481,      0.157376553669701, 0.210501859943959, 0.261285820740611,      0.142789347249218, 0.333568708255903, 0.248163252655802,      0.0606577495598573, 0.19523132016882, 0.0900485470251793,      0.0855319563513606, 0.104458461300263), PROX_MRT = c(0.103251860461982,      0.212082976996148, 0.369514902074349, 0.361454140857751,      0.386818680985449, 0.45128979061194, 0.348715950460643, 0.670866804568908,      0.349678715281184, 0.281331556481731, 0.1853881461208, 0.568944969773001,      0.346622733589529, 0.549226257235714, 0.389634730949481,      0.53617676606472, 0.448203274012385, 0.530436532640755, 0.576684647572531,      0.567634817298681), PROX_PARK = c(0.13380185088312, 0.271559050503854,      0.410157320226128, 0.424082148410156, 0.41256712340984, 0.496161896442625,      0.454973393404149, 1.34668044149268, 1.14436990313984, 1.07330463343821,      0.969171323132551, 0.375618223612072, 1.03638785093261, 0.534309547143458,      0.136342453682232, 0.524571131123829, 0.651264615899835,      0.548254609843109, 0.517760851715104, 0.487498062645995),          PROX_GOOD_PRISCH = c(3.17062142916436, 3.22696055518642,          3.17375518133788, 3.27316539077024, 3.11124078456354,          3.1984009939005, 3.07957394860643, 4.04417128338034,          4.42346384619917, 4.46068770698473, 4.51522724145722,          3.5160560831601, 4.68517728936996, 3.68539306501406,          3.30515733544794, 2.00925132829891, 2.14268529299874,          2.03651743937875, 2.00772186702724, 1.97696478280336),          PROX_MALL = c(0.898524741072254, 0.944512912155433, 1.09860538958518,          1.03381347643634, 1.14104925826379, 1.15459749844864,          0.779372162435287, 1.51326780463499, 1.03774509228272,          0.971442928620489, 0.87678025015548, 0.96360119165526,          0.814872047472938, 1.13513631747826, 0.719385659919303,          0.387042201482337, 0.264532440460292, 0.365617038961166,          0.403935094648282, 0.446404896609829), PROX_CHAS = c(0.162166521351491,          0.199996678091121, 0.128246501394164, 0.22718451096924,          0.0683025043642396, 0.151798893835737, 0.297280152993809,          0.212246176955017, 0.0809467071188201, 0.108213750221125,          0.0998361253719761, 0.213267381067323, 0.0573592222158038,          0.37199840586913, 0.174009235365936, 0.134421273847083,          0.12619956254809, 0.0929349198733403, 0.0679258481743644,          0.0766942583569258), PROX_SUPERMARKET = c(0.209119590970966,          0.232527384837024, 0.23908756643158, 0.31622643534726,          0.200251285306447, 0.314587216673928, 0.212061147632098,          0.306178228663922, 0.184584314799668, 0.131005301990959,          0.103744685928207, 0.266791583668656, 0.0573596645426592,          0.424647979009491, 0.173881454941229, 0.0393286469640316,          0.178930757423705, 0.0785030623714358, 0.0895469396191502,          0.11965836137487), WITHIN_350M_KINDERGARTEN = c(4L, 5L,          4L, 4L, 3L, 3L, 1L, 0L, 1L, 1L, 1L, 2L, 1L, 0L, 1L, 1L,          0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(8L, 9L, 4L,          10L, 2L, 2L, 2L, 1L, 3L, 3L, 3L, 4L, 3L, 4L, 4L, 4L,          4L, 3L, 3L, 3L), WITHIN_350M_BUS = c(5L, 8L, 4L, 4L,          4L, 2L, 7L, 5L, 7L, 7L, 9L, 4L, 4L, 4L, 2L, 8L, 7L, 8L,          6L, 6L), WITHIN_1KM_PRISCH = c(1L, 1L, 2L, 2L, 2L, 2L,          2L, 1L, 0L, 0L, 0L, 3L, 0L, 3L, 3L, 1L, 1L, 1L, 1L, 2L         ), DNeighbour = c(0, 142.281319480871, 279.527218610577,          288.221183241641, 294.918824840406, 367.084154410018,          1059.9320077201, 1243.47446868115, 1405.72502026849,          1414.12233353494, 1437.15498552003, 1603.02179785121,          1631.30444726911, 1659.79620042256, 1851.8113401514,          1973.7677449778, 1991.23939471394, 2007.39688389795,          2042.6914258485, 2095.0722193747)), row.names = c("575",      "784", "145", "763", "286", "767", "251", "993", "823", "903",      "881", "270", "997", "853", "596", "930", "453", "297", "536",      "23"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.990797091409427,      0.964714407806548, 0.962506624307977, 0.960761478919732,      0.939543188283949, 0.553607873143938, 0.419554058732668,      0.302283160166391, 0.296380211297404, 0.280313358615242,      0.171861706562493, 0.155016755245971, 0.138650977171562,      0.0478472717901438, 0.0126444186079837, 0.00934407485221965,      0.00671505413112235, 0.00243825718774469, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12578634129 
R squared (OOB):                  0.2078531 

$Forests[[576]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 330000, 295000,      336000, 312000, 288000, 345000, 320000, 295000, 338000, 320000,      345000, 350000, 320000, 330000, 315000, 310000, 305000, 339000,      324000), floor_area_sqm = c(103, 103, 101, 102, 101, 84,      102, 104, 84, 102, 84, 102, 102, 101, 102, 102, 91, 99, 102,      90), storey_order = c(2L, 1L, 1L, 3L, 2L, 3L, 4L, 4L, 4L,      4L, 4L, 2L, 4L, 1L, 1L, 2L, 4L, 1L, 3L, 4L), remaining_lease_mths = c(926,      928, 917, 916, 933, 893, 926, 893, 875, 922, 885, 927, 923,      924, 911, 913, 927, 921, 923, 929), PROX_CBD = c(18.5458637520931,      18.5768909080638, 18.4986491838169, 18.5506225538857, 18.4625985868209,      18.3632948597919, 18.236688278315, 18.4249149071789, 18.4249149071789,      18.1611534549189, 18.3433564216417, 18.2868848905217, 18.0569924715364,      18.0902268845521, 18.2320763538069, 17.9994058772431, 18.6571260927441,      17.9733391318796, 17.9456645257603, 18.3448727328387), PROX_ELDERLYCARE = c(0.890661700747245,      0.912532633143698, 0.86418951980865, 0.859723249528503, 0.765079897684544,      0.645296274244347, 0.732088251039709, 0.705240184131779,      0.705240184131779, 0.519233937445895, 0.623669944895056,      0.896456720381782, 0.59750504274373, 0.706169610995159, 0.927534095024191,      0.430537495183344, 1.27166470727688, 0.376016337241346, 0.476454782767532,      1.12000720290482), PROX_HAWKER = c(0.898999046399804, 0.935860141611343,      0.838043969781633, 0.958117298193611, 0.906262708365532,      0.921741667576702, 0.537987121264097, 1.0161652570538, 1.0161652570538,      0.617364695979906, 0.960648791795978, 0.547085889030319,      0.391180253405874, 0.370412154176866, 0.493410913505403,      0.472244893923117, 0.924657565926692, 0.501520555884575,      0.3648710200987, 0.636376603494217), PROX_MRT = c(0.87509641959225,      0.912233851204259, 0.812751343363136, 0.942174684471822,      0.897303014326537, 0.927224403125457, 0.511061821383635,      0.906393011935236, 0.906393011935236, 0.623413162025338,      0.899458799363821, 0.495991449430539, 0.384524332485438,      0.341202563029131, 0.433316978327494, 0.492638498779759,      0.861078471223358, 0.52882455357406, 0.385567417899789, 0.565211037998289     ), PROX_PARK = c(1.4387346144793, 1.41172869826724, 1.49181484955502,      1.32670572464855, 1.31620863428189, 1.22890358268929, 1.7164330470264,      1.13759587953072, 1.13759587953072, 1.52418818882418, 1.17596756648915,      1.86697967968657, 1.77011013021076, 1.8531048262974, 1.96114614265628,      1.65421298847909, 1.95136051888807, 1.62685700377268, 1.76180373116006,      2.08056453235766), PROX_GOOD_PRISCH = c(9.09837600782165,      9.13217936844248, 9.04519470993137, 9.12094588228633, 9.04019528068803,      8.96505409295358, 8.76378557853615, 9.03817471771729, 9.03817471771729,      8.72758527833631, 8.95760590087653, 8.78822500750919, 8.58956131155308,      8.60631027953587, 8.72297519828522, 8.5589292690065, 9.13456945987866,      8.54142359534323, 8.49089982759618, 8.81498363377987), PROX_MALL = c(0.359721010486642,      0.390092702495136, 0.305101649121832, 0.46921205797367, 0.414588198127445,      0.282416841692855, 0.240339889961931, 0.204519313237763,      0.204519313237763, 0.475604736810637, 0.22079632378696, 0.1450338527091,      0.407254736414821, 0.342860958869265, 0.22704735136933, 0.446560923090423,      0.300602441432182, 0.395841490391381, 0.428159644756295,      0.284195187673565), PROX_CHAS = c(0.359721009550721, 0.390092699752756,      0.305101651313883, 0.469212052170377, 0.399223798550346,      0.231219576578415, 0.184864523484869, 0.20451929737041, 0.20451929737041,      0.405258493214775, 0.167893491583302, 0.0217240252323136,      0.222103720735081, 0.209799590563819, 0.11607611654581, 0.324811070171065,      0.214120710257936, 0.364030465322827, 0.218909691095897,      0.24769320941352), PROX_SUPERMARKET = c(0.359721304530864,      0.390093045846372, 0.305101855713295, 0.469212308573368,      0.414588227521533, 0.282416494634945, 0.240339157209448,      0.204519239868594, 0.204519239868594, 0.475604214408431,      0.220795796105544, 0.145032957963293, 0.385535197909366,      0.342860053820009, 0.227046556279957, 0.408691343873882,      0.214121714630789, 0.356071330024396, 0.365864675212809,      0.284194910851331), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 0L,      1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(5L, 5L, 6L, 6L, 6L,      8L, 6L, 7L, 7L, 5L, 8L, 7L, 4L, 6L, 5L, 4L, 3L, 3L, 3L, 5L     ), WITHIN_350M_BUS = c(9L, 9L, 9L, 8L, 8L, 8L, 7L, 9L, 9L,      10L, 8L, 9L, 9L, 7L, 10L, 9L, 8L, 11L, 8L, 8L), WITHIN_1KM_PRISCH = c(4L,      4L, 4L, 5L, 5L, 4L, 6L, 4L, 4L, 6L, 4L, 4L, 6L, 5L, 4L, 7L,      3L, 7L, 6L, 4L), DNeighbour = c(0, 40.9290451344515, 59.8391055712112,      116.677919552858, 176.146264042413, 345.67223742078, 361.327749371257,      379.229226004788, 384.105534456083, 385.408276393811, 414.05883555159,      447.967979552388, 511.215628200411, 527.934320584439, 544.778474811004,      545.545979435039, 546.559580684213, 570.641125454296, 607.49751582177,      638.840612522227)), row.names = c("576", "828", "684", "291",      "729", "864", "227", "738", "265", "330", "953", "787", "491",      "74", "443", "177", "761", "179", "20", "512"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.991807509379532, 0.982529482831588, 0.934397897436431,      0.85372805074406, 0.500157687217103, 0.462532646571872, 0.419403978563221,      0.407673966156928, 0.404543276116147, 0.336299271600049,      0.258358875419279, 0.129341976091205, 0.100534814575991,      0.0744189502555966, 0.0733044292873165, 0.071843056640926,      0.0408498792960855, 0.009161898963124, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       250400766 
R squared (OOB):                  0.2029194 

$Forests[[577]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 368000, 335000,      388000, 370000, 408000, 385000, 398000, 360000, 325000, 375000,      369000, 4e+05, 335000, 328000, 390000, 361000, 325000, 340000,      360000), floor_area_sqm = c(101, 100, 93, 100, 98, 100, 101,      100, 104, 85, 90, 94, 103, 84, 84, 101, 84, 84, 104, 103),          storey_order = c(4L, 2L, 5L, 4L, 2L, 4L, 3L, 2L, 2L,          1L, 5L, 5L, 3L, 2L, 4L, 4L, 4L, 5L, 1L, 1L), remaining_lease_mths = c(936,          923, 921, 922, 912, 921, 952, 924, 804, 830, 946, 942,          796, 796, 806, 932, 794, 812, 869, 798), PROX_CBD = c(10.5347600839054,          10.5911430304609, 10.6321305837804, 10.3133134299625,          10.6430674352334, 10.7481925626994, 10.5394819073022,          10.2027088676681, 10.0879656312395, 10.1989356004427,          10.5038890156487, 10.5038890156487, 10.2571858212528,          10.2571858212528, 10.2439629519707, 10.247812625002,          10.1908965186918, 9.87023127008802, 10.9782438935663,          10.1540744969693), PROX_ELDERLYCARE = c(1.31633228018286,          1.2745451415541, 1.32435226249417, 1.4124150938613, 1.10983952182968,          1.00181077128688, 1.55101586165687, 1.63738856945076,          1.31022889057949, 1.08623091115154, 1.64894906385774,          1.64894906385774, 0.969336561855173, 0.969336561855173,          0.904720646157319, 1.89270432318243, 0.891997547710976,          1.35138892750767, 0.748731634955849, 0.85844301108046         ), PROX_HAWKER = c(0.259744380023822, 0.314632743063994,          0.382898898882956, 0.0623262564011618, 0.494234864614673,          0.591883114810231, 0.463304434183495, 0.264427923442986,          0.196699811405185, 0.368744432216956, 0.53455823354733,          0.53455823354733, 0.543600998034675, 0.543600998034675,          0.616195579705155, 0.561647681218514, 0.594526114354717,          0.410023469086153, 0.421987441153261, 0.614574465644474         ), PROX_MRT = c(1.15842683571226, 1.14211364891441, 1.20430491709432,          1.09471398918577, 0.91242151857363, 0.80807654444201,          1.31136747445593, 1.392302848886, 1.09046737609619, 0.78040997284139,          1.36742764633517, 1.36742764633517, 0.5984056038899,          0.5984056038899, 0.52596302633555, 1.63637339364314,          0.554399001312584, 1.23646610314009, 0.516121726350597,          0.544743966599557), PROX_PARK = c(1.00657829367171, 0.997953552798557,          0.852996238213812, 0.826294351272671, 1.09293299728603,          1.13130385684233, 0.594979546415276, 0.728383914708498,          0.604882226694947, 0.808282577864154, 0.486479545769779,          0.486479545769779, 0.690393008756984, 0.690393008756984,          0.626908579085899, 0.443665461164749, 0.61263038213259,          0.375073916060521, 1.01560706627581, 0.578916018382343         ), PROX_GOOD_PRISCH = c(1.12709017589061, 1.15731102426836,          1.09467860924251, 0.993301788551023, 1.4206810513637,          1.51127824976447, 0.89296386953394, 0.689163418131917,          0.87937610392538, 1.199846441039, 0.819356328881161,          0.819356328881161, 1.38840710840139, 1.38840710840139,          1.44855804010835, 0.550324531917386, 1.40421671412888,          0.706117631385061, 1.81228643023267, 1.40445923276907         ), PROX_MALL = c(0.464767570965945, 0.441630162720786,          0.512358501951296, 0.450275200033962, 0.220538248250442,          0.114469773448463, 0.357726596913911, 0.12742430838485,          0.441232897113797, 0.663851500718272, 0.3366209001709,          0.3366209001709, 0.638527944164543, 0.638527944164543,          0.644656189163291, 0.190941194230935, 0.685823836221668,          0.445899708163642, 0.231229629812008, 0.685950169481642         ), PROX_CHAS = c(0.272565000598528, 0.327465416824022,          0.394471723674887, 0.071192987667569, 0.0703959269798554,          0.0793642323922721, 0.263233285458842, 0.127424254451578,          0.177420148260447, 0.0710453772718398, 0.232134688144963,          0.232134688144963, 0.0819899420632749, 0.0819899420632749,          0.155315138624813, 0.190941257524933, 0.151788880767358,          0.0764125853219005, 0.23122963873357, 0.170954716034814         ), PROX_SUPERMARKET = c(0.464768447350912, 0.441631117888638,          0.447614574279886, 0.330151298165832, 0.220538485726081,          0.114469867006585, 0.263232243208913, 0.129189539659537,          0.320748009942088, 0.00115080458448496, 0.232133828519976,          0.232133828519976, 0.123486578338512, 0.123486578338512,          0.18505229065347, 0.19229406714866, 0.152401712794372,          0.158655939798418, 0.231228589734032, 0.171715993026927         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 1L, 0L, 1L,          2L, 0L, 0L, 0L, 2L, 2L, 0L, 0L, 0L, 3L, 0L, 1L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 3L, 4L, 2L, 4L,          6L, 6L, 5L, 4L, 5L, 5L, 2L, 2L, 1L, 10L, 2L, 5L, 5L,          2L), WITHIN_350M_BUS = c(15L, 13L, 12L, 15L, 13L, 10L,          15L, 13L, 11L, 12L, 11L, 11L, 10L, 10L, 10L, 10L, 12L,          8L, 9L, 14L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 6L,          6L, 4L, 4L, 5L, 4L, 4L, 4L, 5L, 5L, 6L, 4L, 6L, 5L, 5L,          5L), DNeighbour = c(0, 60.1539858774773, 203.898186692441,          216.775366116525, 319.626514358698, 393.826880242242,          418.167012253723, 436.281894891634, 441.975007384652,          472.164721674004, 521.905300993854, 525.959718225219,          588.957120660324, 590.042595412108, 660.103230762007,          662.534209465131, 662.60078252376, 665.732961189986,          690.502107902462, 691.619846352306)), row.names = c("577",      "718", "975", "513", "627", "866", "769", "771", "292", "967",      "942", "734", "494", "591", "668", "667", "447", "755", "317",      "560"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.984927748091997,      0.833725277660083, 0.813172481072892, 0.618464057700208,      0.456642268827193, 0.402507729889871, 0.36249622275612, 0.350018603102986,      0.285080067955408, 0.185381291211006, 0.17781193106102, 0.0755382927795862,      0.0740747914420786, 0.00793203857527022, 0.00677990357569407,      0.00674956614123582, 0.00539604169917806, 1.04304566975283e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       642227865 
R squared (OOB):                  0.1167813 

$Forests[[578]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 331000, 315000,      268000, 320000, 385000, 4e+05, 370000, 323000, 350000, 375000,      340000, 368000, 310000, 368888, 350000, 4e+05, 420000, 4e+05,      568000), floor_area_sqm = c(104, 107, 104, 84, 105, 92, 96,      92, 104, 104, 92, 92, 92, 105, 92, 92, 92, 92, 92, 92), storey_order = c(3L,      2L, 1L, 3L, 3L, 3L, 2L, 1L, 2L, 3L, 1L, 2L, 2L, 3L, 2L, 1L,      4L, 4L, 3L, 4L), remaining_lease_mths = c(869, 869, 807,      822, 815, 1132, 1098, 1090, 806, 812, 1139, 1133, 1100, 827,      1102, 1111, 1142, 1133, 1136, 1117), PROX_CBD = c(15.2437764157418,      15.2221855529023, 15.3877172812078, 15.3723771683987, 15.4421704385289,      14.9536689261967, 15.0414874321427, 15.0414874321427, 15.5926635355646,      14.8739209120931, 14.8395197777251, 14.8395197777251, 14.9752079088984,      15.6029325535915, 14.8482953663728, 14.8482953663728, 14.8350589102573,      14.7615340778399, 14.7935232496013, 15.3987887594526), PROX_ELDERLYCARE = c(0.313986883487753,      0.277621781700774, 0.4433955665635, 0.488083454274335, 0.497101135842809,      1.13414610370389e-06, 0.180026828914976, 0.180026828914976,      0.348154483747206, 0.224374856243457, 0.143171284390361,      0.143171284390361, 0.199763345782594, 0.338118814836049,      0.157028625587627, 0.157028625587627, 0.366071958673004,      0.301679225956583, 0.348662381557687, 0.578356799737993),          PROX_HAWKER = c(0.306302732963744, 0.252887916114098,          0.342886316384117, 0.473722511855576, 0.380223054122965,          0.283688306330561, 0.135868389364205, 0.135868389364205,          0.438799857473275, 0.490895901627697, 0.426817039061835,          0.426817039061835, 0.202333554334061, 0.432858942767381,          0.332945546865787, 0.332945546865787, 0.625406547060166,          0.582527401679673, 0.61938764744993, 0.294909248784724         ), PROX_MRT = c(1.43926724244883, 1.3991563615676, 1.37085724211185,          1.53295440749368, 1.36083949137777, 1.45204946878565,          1.27219969611937, 1.27219969611937, 1.20427337027458,          1.67344316225132, 1.58589972239689, 1.58589972239689,          1.27457972333389, 1.13678031777592, 1.41585626072206,          1.41585626072206, 1.81204065654847, 1.75082728996661,          1.80023823132094, 0.921278705332003), PROX_PARK = c(0.554495921895103,          0.500874596291267, 0.57859629393417, 0.719474571135727,          0.607675278354181, 0.447466290733612, 0.270313948020077,          0.270313948020077, 0.608584573014238, 0.671840643384197,          0.573834160005083, 0.573834160005083, 0.259935562114549,          0.578149656320062, 0.40224168015695, 0.40224168015695,          0.813480610745631, 0.739209778966795, 0.794674698621811,          0.283836897691409), PROX_GOOD_PRISCH = c(5.96162295702861,          5.9271396376627, 6.09187968106835, 6.12183876163327,          6.14472917023144, 5.64958645026222, 5.69200203864946,          5.69200203864946, 6.25532900137267, 5.63420261242257,          5.56483468018996, 5.56483468018996, 5.6171537261999,          6.24898658848638, 5.51627049340211, 5.51627049340211,          5.6396253746677, 5.53447364393692, 5.58881641790013,          5.98797030068414), PROX_MALL = c(1.03199787585398, 1.02106462402642,          0.900250825960545, 1.02404161156211, 0.860369947035052,          0.806257336881612, 0.767711199656331, 0.767711199656331,          0.657431321444681, 0.927972955155417, 0.805396060532061,          0.805396060532061, 0.689421511186311, 0.60644342729779,          0.649229394533883, 0.649229394533883, 1.03026167893405,          0.897398400321744, 0.980189305249844, 0.692287086677849         ), PROX_CHAS = c(4.60754704120663e-08, 0.0544459444778504,          0.147116034863504, 0.183904955535591, 0.200516789487464,          0.14456617920399, 0.163757574589084, 0.163757574589084,          0.337342861051532, 0.25243947150411, 0.204546662914522,          0.204546662914522, 0.230775629929228, 0.336408570757183,          0.274130336331615, 0.274130336331615, 0.298721071991625,          0.166975848000366, 0.244316778428722, 0.0335692412129841         ), PROX_SUPERMARKET = c(0.0947293086454089, 0.0768892314501321,          0.236697160290918, 0.267991425015023, 0.291068212048821,          0.16127040484797, 0.197268674737732, 0.197268674737732,          0.403551045123396, 0.298947211163532, 0.280088374069707,          0.280088374069707, 0.264202614673064, 0.338214025323699,          0.296829834724774, 0.296829834724774, 0.402632437071234,          0.408349928269047, 0.416104879739584, 0.352133387221186         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 2L, 0L,          0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 5L, 4L, 4L, 6L, 7L,          4L, 4L, 4L, 3L, 5L, 5L, 4L, 4L, 5L, 5L, 2L, 3L, 2L, 1L         ), WITHIN_350M_BUS = c(8L, 8L, 7L, 7L, 9L, 6L, 9L, 9L,          6L, 6L, 5L, 5L, 9L, 6L, 9L, 9L, 6L, 4L, 6L, 6L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 4L, 4L,          4L, 3L, 3L, 3L, 4L), DNeighbour = c(0, 50.8394562924883,          142.129349301069, 184.009645870583, 195.735131097519,          309.121238841666, 339.30705904284, 343.109585125826,          380.696247714097, 381.80746329372, 402.999074690396,          405.452854842314, 414.887851294766, 424.378346245333,          460.157210725688, 462.449434232952, 469.230378434934,          495.985061699042, 496.477452630144, 510.751202583869)), row.names = c("578",      "679", "895", "867", "586", "139", "632", "793", "458", "602",      "152", "543", "558", "924", "195", "762", "27", "620", "478",      "714"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.980282303948349,      0.851122416522091, 0.757254442690169, 0.727839064669668,      0.401573577653018, 0.312108144990198, 0.301092704513855,      0.197518467919713, 0.19464196082824, 0.14245220066146, 0.136769715408812,      0.115704689949917, 0.0958651007381494, 0.0354582118514988,      0.032470818710521, 0.0243293309014878, 0.00324734065558628,      0.0030373491868043, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3504068060 
R squared (OOB):                  0.08039367 

$Forests[[579]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(5e+05, 553000, 520000,      535000, 483000, 425000, 518000, 495000, 537000, 412000, 455000,      362500, 420000, 468000, 360000, 455000, 393000, 365000, 448000,      450000), floor_area_sqm = c(93, 93, 93, 93, 93, 104, 93,      93, 93, 104, 112, 103, 106, 106, 84, 113, 103, 84, 116, 106     ), storey_order = c(3L, 4L, 3L, 3L, 2L, 3L, 2L, 2L, 4L, 2L,      1L, 3L, 3L, 5L, 3L, 5L, 2L, 4L, 3L, 2L), remaining_lease_mths = c(1131,      1134, 1133, 1131, 1129, 871, 1132, 1131, 1128, 878, 896,      819, 874, 863, 811, 824, 818, 787, 827, 919), PROX_CBD = c(13.8777465201196,      13.8021184722805, 13.7835124985007, 13.9851487819813, 13.9851487819813,      14.0236082538335, 14.0392008059995, 14.1234549986629, 14.1022978560303,      14.1313829663274, 14.0913802169285, 14.3801998083441, 13.629257933267,      13.629257933267, 14.7472020389823, 14.8805910833212, 14.8805910833212,      13.5012180894848, 15.1039483662242, 13.6245617307962), PROX_ELDERLYCARE = c(1.14875617578224,      1.08391670289184, 1.04590518035641, 1.27246652758392, 1.27246652758392,      1.09340394122649, 1.32747908409073, 1.35242241046818, 1.39999761805574,      0.836104821253693, 1.71411655426264, 0.709377020411434, 0.207468408301612,      0.207468408301612, 1.19052284520552, 1.53481387371296, 1.53481387371296,      0.126566715598502, 1.55233595008815, 0.120631950903102),          PROX_HAWKER = c(0.709523473368326, 0.792084042786722,          0.817574416707151, 0.59565400543288, 0.59565400543288,          0.594999289424802, 0.543253862226502, 0.458626901673037,          0.488105393549706, 0.73352935155883, 0.659732742059419,          0.928921275219278, 1.4012681206183, 1.4012681206183,          0.606039227085063, 0.395563323563994, 0.395563323563994,          1.32455892398921, 0.672854909342646, 1.48009929412898         ), PROX_MRT = c(0.526263367583387, 0.615458599020507,          0.648112836468654, 0.390641440388092, 0.390641440388092,          0.469886084443941, 0.327704984287647, 0.250036690549804,          0.255700458734308, 0.735653331318593, 0.410797330392975,          1.02650412956774, 0.681065013996815, 0.681065013996815,          0.807097621625513, 0.650195396152393, 0.650195396152393,          0.54422435083218, 0.927742831261867, 0.357520644011877         ), PROX_PARK = c(0.548712671125698, 0.476945111703218,          0.438074957540257, 0.580591669210194, 0.580591669210194,          0.504422356794811, 0.547177414231792, 0.469588575534173,          0.52092144022497, 0.463826523913091, 0.524242894978874,          0.71485218383349, 0.403276931712581, 0.403276931712581,          0.432698189125414, 0.355836862982211, 0.355836862982211,          0.593866981909781, 0.613453702116727, 0.731000545087102         ), PROX_GOOD_PRISCH = c(2.41902859908312, 2.33081910479479,          2.3007469286795, 2.55482099432271, 2.55482099432271,          2.51794344218072, 2.61966269686357, 2.69456588548322,          2.69832814229385, 2.52734391167264, 2.83541955823977,          2.72778429145315, 1.96779323327463, 1.96779323327463,          3.13467644284063, 3.33079371618761, 3.33079371618761,          1.8351788996921, 3.51513652285447, 1.96554365084008),          PROX_MALL = c(0.498678106329343, 0.585717052475653, 0.615576551193732,          0.37312896686832, 0.37312896686832, 0.418819234777705,          0.316340524018432, 0.232476208076891, 0.257523814996123,          0.66282583229379, 0.471401908473598, 0.949257633150117,          1.12429495075828, 1.12429495075828, 0.738705771798207,          0.390496575840073, 0.390496575840073, 0.956400108312903,          0.472438990852491, 1.05956757611768), PROX_CHAS = c(0.133705064347241,          0.221659659627321, 0.253975316505048, 0.0604900109870272,          0.0604900109870272, 0.151261605672147, 0.101753514952091,          0.147334233235439, 0.177701329016163, 0.528800676490504,          0.471401941314913, 0.453083161817035, 0.260044927245007,          0.260044927245007, 0.19051372613691, 0.448788349522024,          0.448788349522024, 0.0648495538885981, 0.353464796953762,          2.17172157220984e-06), PROX_SUPERMARKET = c(0.133704798830233,          0.221659301316653, 0.253974877653299, 0.0604908810371704,          0.0604908810371704, 0.151260689076964, 0.101754383553332,          0.147334782275979, 0.177702101069216, 0.528799775767506,          0.471402360745676, 0.513065398645433, 0.288903462518554,          0.288903462518554, 0.326764101800336, 0.447693008221967,          0.447693008221967, 0.329742543966106, 0.429218479578941,          0.237807435452358), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 2L, 0L, 3L, 3L, 3L,          2L, 2L, 1L, 2L, 3L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 3L, 3L, 4L, 4L, 4L, 4L, 3L, 1L, 3L, 6L, 6L, 2L, 3L,          3L, 5L, 2L, 5L), WITHIN_350M_BUS = c(8L, 5L, 6L, 8L,          8L, 12L, 10L, 13L, 11L, 6L, 12L, 2L, 6L, 6L, 9L, 5L,          5L, 7L, 7L, 10L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L,          1L, 2L, 1L, 1L, 1L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 4L,          3L, 4L), DNeighbour = c(0, 94.6191362543369, 127.833074521286,          138.450664018864, 144.733662915241, 177.568253453581,          207.718446920763, 271.42451727675, 288.102141726288,          533.648083508668, 565.912614124633, 930.831950407205,          942.378901426766, 945.136731836611, 984.33652838327,          1006.74446968109, 1014.71262565105, 1141.24295131684,          1260.51211608987, 1264.44284477124)), row.names = c("579",      "275", "380", "819", "938", "51", "218", "212", "815", "695",      "352", "3", "503", "415", "136", "852", "639", "264", "188",      "656"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.988832090203452,      0.979662716972691, 0.976165260476755, 0.973967477496811,      0.960946623462063, 0.946754646659017, 0.909965942976703,      0.898864779879811, 0.675487533059304, 0.639505784279384,      0.209827022754421, 0.197615911217891, 0.194731830902686,      0.155218216839235, 0.134008533665872, 0.126734041937185,      0.0343638377422275, 3.85351092073737e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2032598825 
R squared (OOB):                  0.4396877 

$Forests[[580]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(575000, 580000, 565000,      520000, 548888, 580000, 540000, 510000, 495000, 380000, 540000,      403500, 505000, 475000, 5e+05, 505000, 376000, 374000, 490000,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 93,      93, 90, 90, 90, 90, 90, 92, 92, 102, 103, 92, 92), storey_order = c(4L,      4L, 3L, 1L, 2L, 4L, 4L, 3L, 3L, 4L, 3L, 5L, 6L, 5L, 3L, 4L,      5L, 2L, 3L, 1L), remaining_lease_mths = c(1137, 1140, 1127,      1138, 1130, 1134, 1075, 1076, 1076, 973, 1067, 965, 1033,      1031, 1049, 1051, 944, 862, 1038, 1037), PROX_CBD = c(11.6525204845234,      11.6525204845234, 11.6525204845234, 11.6952918230505, 11.7494815193957,      11.7494815193957, 11.8019303594103, 11.734228152501, 11.7824349405223,      11.9491294576901, 11.5237533038112, 12.0682850666201, 11.6571985599938,      11.780035597066, 11.4975151935682, 11.4388659085475, 11.9885535057438,      11.0478583208432, 11.6213283462416, 11.6419253241709), PROX_ELDERLYCARE = c(0.090696724945174,      0.090696724945174, 0.090696724945174, 0.0818897866131208,      0.0736890817471424, 0.0736890817471424, 0.184707688528033,      0.217445500321488, 0.213047345375207, 0.351349913726565,      0.374021376468387, 0.36227142211874, 0.400746835300904, 0.389019901488026,      0.485429735975203, 0.529438756707198, 0.468647269590137,      0.694826263841934, 0.621923465733728, 0.626216066088841),          PROX_HAWKER = c(0.325622570567264, 0.325622570567264,          0.325622570567264, 0.374319678668878, 0.418792449609449,          0.418792449609449, 0.425288384889406, 0.366555491930585,          0.411134055372247, 0.693645859237657, 0.235307086042243,          0.732401821736703, 0.38372613736418, 0.475091880549249,          0.320302217757218, 0.319632581294072, 0.661637750611862,          0.33156405975617, 0.537052085835962, 0.553081930127745         ), PROX_MRT = c(0.219824289848129, 0.219824289848129,          0.219824289848129, 0.18359152527436, 0.183595482094196,          0.183595482094196, 0.341923672362566, 0.276453864170284,          0.323171872402698, 0.207404211118571, 0.148196296616071,          0.353072027979069, 0.187661086924798, 0.149757666469573,          0.24936700359253, 0.264110896255266, 0.253577460439113,          0.413251174688675, 0.182944945438028, 0.168432978085695         ), PROX_PARK = c(1.18955170998222, 1.18955170998222,          1.18955170998222, 1.23082333360032, 1.25382465781663,          1.25382465781663, 1.09015045463689, 1.00928973198994,          1.04913519120928, 1.42337349535551, 0.808531626238996,          1.2554933111164, 0.822874314333037, 0.915827670442916,          0.698336840868775, 0.653351036954048, 0.965214735166117,          0.855372307789476, 0.643411448820926, 0.654970873229416         ), PROX_GOOD_PRISCH = c(2.3279627535371, 2.3279627535371,          2.3279627535371, 2.35260315569007, 2.40225451049103,          2.40225451049103, 2.57167610218627, 2.54247396470066,          2.5757070458522, 2.48771655129493, 2.43173748992112,          2.66094910730305, 2.58492752090912, 2.67648686403773,          2.48345794754568, 2.45055199705462, 2.84793008582659,          1.96973866183315, 2.69528593883292, 2.71543842399088),          PROX_MALL = c(0.807719243520252, 0.807719243520252, 0.807719243520252,          0.785373664552542, 0.730910693989521, 0.730910693989521,          0.70263709534569, 0.781937846313192, 0.732391369928616,          0.591401580344059, 0.840908486660855, 0.424043071559413,          0.718523422751835, 0.657761426948524, 0.805279144871904,          0.840491697823826, 0.581599658792334, 0.400154220571097,          0.597386337892971, 0.576398809288588), PROX_CHAS = c(0.162428164506486,          0.162428164506486, 0.162428164506486, 0.141926234339659,          0.105514964386053, 0.105514964386053, 0.144895120017984,          0.203102352137365, 0.182294192745256, 0.136369833447508,          0.0822817354855642, 0.0850792531740411, 0.162236141473446,          0.165734916528407, 0.18789773503711, 0.210772889992189,          0.0548782345589675, 0.193330180912365, 0.130352204164602,          0.118628580179885), PROX_SUPERMARKET = c(0.158766807317564,          0.158766807317564, 0.158766807317564, 0.137537075296593,          0.100761764224213, 0.100761764224213, 0.149354766345577,          0.206717744357565, 0.186528474083994, 0.234851160706955,          0.113409172087645, 0.0850782630125017, 0.248678179468178,          0.328761363845442, 0.186124684843571, 0.189609627596398,          0.41771106664497, 0.392366955335671, 0.0679201472407272,          0.0879874709963817), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 5L, 5L, 7L, 8L, 8L, 6L, 4L, 5L, 8L, 9L, 4L, 4L,          6L, 2L, 6L, 6L), WITHIN_350M_BUS = c(11L, 11L, 11L, 13L,          14L, 14L, 13L, 10L, 11L, 12L, 5L, 12L, 9L, 8L, 8L, 7L,          14L, 7L, 8L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 6L, 6L,          6L, 6L, 6L, 5L, 7L, 7L, 4L, 7L, 5L, 6L, 4L, 5L, 7L, 6L,          6L, 5L), DNeighbour = c(0, 1.3176452302871, 5.65933851728524,          41.4089394930944, 99.2839482135298, 100.417659022864,          270.539972800038, 282.151760978392, 294.063265719677,          362.181446197037, 394.564465672637, 416.625203382181,          453.87893515478, 457.734721277836, 506.788692307254,          539.536095727118, 561.215471842078, 638.687667937529,          669.798064414866, 670.64881706713)), row.names = c("580",      "792", "557", "917", "808", "281", "342", "409", "260", "175",      "652", "860", "977", "263", "553", "271", "486", "694", "89",      "421"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999992279670785,      0.999857585059999, 0.992389744370431, 0.956647673233247,      0.955663236622322, 0.701017957151692, 0.67732769979786, 0.65244227115024,      0.501759636356708, 0.427539335165916, 0.377090464339493,      0.293736277108443, 0.285326205519816, 0.18401009293276, 0.124455037582247,      0.0898347636896553, 0.00865698488111202, 6.42873004392225e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2553774593 
R squared (OOB):                  0.5031679 

$Forests[[581]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(394000, 375000, 378000,      4e+05, 380000, 368888, 378000, 395000, 324000, 310000, 333000,      320000, 330000, 345000, 335000, 345000, 320000, 364000, 375000,      373888), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      90, 91, 100, 100, 102, 102, 100, 102, 101, 100, 93, 93),          storey_order = c(5L, 2L, 3L, 4L, 4L, 4L, 2L, 3L, 4L,          4L, 4L, 4L, 1L, 2L, 4L, 4L, 1L, 2L, 5L, 5L), remaining_lease_mths = c(1142,          1135, 1133, 1145, 1135, 1143, 1136, 1132, 929, 927, 928,          930, 911, 927, 930, 926, 924, 921, 993, 990), PROX_CBD = c(18.5586196198757,          18.5586196198757, 18.5541585191533, 18.4659506582063,          18.528449956106, 18.528449956106, 18.6831604018118, 18.4477570786683,          18.3448727328387, 18.6571260927441, 18.2095446148373,          18.242108360018, 18.2320763538069, 18.2868848905217,          17.9186379864086, 18.236688278315, 18.0902268845521,          17.9386403893839, 17.8363687874637, 17.8363687874637),          PROX_ELDERLYCARE = c(1.41981179339616, 1.41981179339616,          1.3934670212363, 1.40960952841152, 1.49671415705568,          1.49671415705568, 1.47678345842271, 1.45029388933935,          1.12000720290482, 1.27166470727688, 1.17430183890643,          1.08331104464233, 0.927534095024191, 0.896456720381782,          1.13507400842797, 0.732088251039709, 0.706169610995159,          0.714833653499633, 1.40920769604983, 1.40920769604983         ), PROX_HAWKER = c(0.915906485722884, 0.915906485722884,          0.899006211509986, 0.861254406292383, 0.947708217710491,          0.947708217710491, 1.01746494726896, 0.879695992543251,          0.636376603494217, 0.924657565926692, 0.579651089601917,          0.548257960059823, 0.493410913505403, 0.547085889030319,          0.435091735724103, 0.537987121264097, 0.370412154176866,          0.201936965562497, 0.692541487012902, 0.692541487012902         ), PROX_MRT = c(0.839968978875504, 0.839968978875504,          0.823747240068891, 0.783375472664302, 0.869531291623609,          0.869531291623609, 0.943619619760125, 0.801027338961469,          0.565211037998289, 0.861078471223358, 0.501132314022455,          0.47401652613315, 0.433316978327494, 0.495991449430539,          0.364011265623101, 0.511061821383635, 0.341202563029131,          0.168914117564514, 0.634260663268818, 0.634260663268818         ), PROX_PARK = c(2.25577949184332, 2.25577949184332,          2.22642888666982, 2.321508063195, 2.37596217173297, 2.37596217173297,          2.2148581526701, 2.38376543636855, 2.08056453235766,          1.95136051888807, 2.25371860749481, 2.12857307310705,          1.96114614265628, 1.86697967968657, 2.31505119222808,          1.7164330470264, 1.8531048262974, 1.99379565561889, 2.04440878541867,          2.04440878541867), PROX_GOOD_PRISCH = c(9.00274768401056,          9.00274768401056, 9.00155567304774, 8.90481615501782,          8.9605147002348, 8.9605147002348, 9.12987022396436, 8.8804818877731,          8.81498363377987, 9.13456945987866, 8.6635222339794,          8.71021480286832, 8.72297519828522, 8.78822500750919,          8.3676789538936, 8.76378557853615, 8.60631027953587,          8.4444135457925, 8.25468587074647, 8.25468587074647),          PROX_MALL = c(0.5054917244252, 0.5054917244252, 0.475387173022169,          0.542775018358786, 0.613385110580272, 0.613385110580272,          0.525391611000181, 0.601716003339109, 0.284195187673565,          0.300602441432182, 0.468966497593582, 0.347669457974494,          0.22704735136933, 0.1450338527091, 0.384238747959315,          0.240339889961931, 0.342860958869265, 0.238372860218233,          0.630636123898788, 0.630636123898788), PROX_CHAS = c(0.101888085354885,          0.101888085354885, 0.0809306171135589, 0.20305264112251,          0.220932244035638, 0.220932244035638, 0.090990597005735,          0.260006933015678, 0.24769320941352, 0.214120710257936,          0.3998394205418, 0.274735402884708, 0.11607611654581,          0.0217240252323136, 0.360842629752134, 0.184864523484869,          0.209799590563819, 0.076984763134016, 0.221589023831152,          0.221589023831152), PROX_SUPERMARKET = c(0.101886801165025,          0.101886801165025, 0.080929224247632, 0.203051245143547,          0.220931072377982, 0.220931072377982, 0.0909910491430168,          0.260005577706646, 0.284194910851331, 0.214121714630789,          0.402574253870019, 0.347668959247477, 0.227046556279957,          0.145032957963293, 0.360842909613722, 0.240339157209448,          0.342860053820009, 0.171190500184261, 0.22158921197453,          0.22158921197453), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 2L, 2L, 1L, 2L,          2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 5L, 3L, 2L, 3L, 5L, 7L, 1L, 6L, 6L,          6L, 3L, 3L), WITHIN_350M_BUS = c(5L, 5L, 8L, 6L, 6L,          6L, 5L, 8L, 8L, 8L, 8L, 7L, 10L, 9L, 11L, 7L, 7L, 8L,          6L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 3L, 3L,          3L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 3L, 6L, 5L, 5L, 3L, 3L         ), DNeighbour = c(0, 3.46418864038374, 27.8130896720169,          111.396148108106, 123.045071041156, 124.648190891974,          125.129377302742, 159.062918764091, 304.741319651432,          310.276328103623, 356.859254697128, 368.34312513752,          498.822459832511, 533.234280149194, 642.894017862443,          707.09109390529, 714.197706151168, 773.787855718335,          780.372017729015, 782.645312392501)), row.names = c("581",      "35", "563", "777", "102", "875", "664", "504", "512", "761",      "243", "608", "443", "787", "590", "227", "74", "638", "118",      "391"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999960816896528,      0.997475797635093, 0.959893124814434, 0.951176629431361,      0.949912573097852, 0.949530131693111, 0.919095138071068,      0.719762711423797, 0.710363838513724, 0.627415234184644,      0.606061114771344, 0.352573887866926, 0.287080483708442,      0.10578160035685, 0.0337657456139295, 0.0279775118018127,      0.000506546214461416, 3.36495373862677e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       359552374 
R squared (OOB):                  0.5537542 

$Forests[[582]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 420000, 362000,      415000, 4e+05, 4e+05, 423888, 418000, 412000, 367000, 415000,      390000, 310000, 416000, 433000, 395000, 365000, 310000, 323000,      420000), floor_area_sqm = c(92, 92, 92, 93, 92, 92, 92, 92,      92, 92, 92, 92, 105, 92, 92, 92, 92, 84, 104, 92), storey_order = c(1L,      3L, 1L, 4L, 3L, 2L, 5L, 5L, 5L, 1L, 5L, 2L, 3L, 4L, 4L, 2L,      1L, 2L, 2L, 5L), remaining_lease_mths = c(1146, 1144, 1135,      1141, 1143, 1137, 1136, 1138, 1144, 1137, 1144, 1139, 827,      1140, 1130, 1146, 1137, 811, 806, 1143), PROX_CBD = c(15.87024444961,      15.9392575628934, 15.9297907572658, 15.719551353229, 16.0475930141239,      16.0475930141239, 15.9500375777464, 16.0903666266177, 16.0903666266177,      16.0903666266177, 15.9533618390172, 16.0085061296439, 15.6029325535915,      16.055983361932, 16.055983361932, 16.0046521285213, 16.0046521285213,      15.7493840144196, 15.5926635355646, 16.1537572283104), PROX_ELDERLYCARE = c(0.10693627682917,      0.0436662178849567, 0.0463608633689567, 0.251997184681221,      0.129564145964732, 0.129564145964732, 0.0923316964070077,      0.179967723198436, 0.179967723198436, 0.179967723198436,      0.251148223850536, 0.133825008100465, 0.338118814836049,      0.146417557277997, 0.146417557277997, 0.20718686492254, 0.20718686492254,      0.392042381698264, 0.348154483747206, 0.0462823216560119),          PROX_HAWKER = c(0.694651515851724, 0.765854363537175,          0.768716574287481, 0.543607139892928, 0.872301448799324,          0.872301448799324, 0.798502368740115, 0.9143232220583,          0.9143232220583, 0.9143232220583, 0.802087399746937,          0.86073340068049, 0.432858942767381, 0.897672222950446,          0.897672222950446, 0.855932206484513, 0.855932206484513,          0.617009737136425, 0.438799857473275, 0.986028325459381         ), PROX_MRT = c(1.09555222562317, 1.14464062157712, 1.23034399571509,          1.04322565796881, 1.14436247830993, 1.14436247830993,          1.27956490520873, 1.13213387762555, 1.13213387762555,          1.13213387762555, 0.8851452059773, 1.31406230168452,          1.13678031777592, 0.936151237003446, 0.936151237003446,          0.883219311345816, 0.883219311345816, 0.825478596695925,          1.20427337027458, 1.02112351286352), PROX_PARK = c(0.707790886000148,          0.777956069134633, 0.846978318526899, 0.60075194434184,          0.824988291997923, 0.824988291997923, 0.8970097589344,          0.83568858459355, 0.83568858459355, 0.83568858459355,          0.589052524814441, 0.947603217866828, 0.578149656320062,          0.683762717294504, 0.683762717294504, 0.619767633008914,          0.619767633008914, 0.423881452963658, 0.608584573014238,          0.793519520304926), PROX_GOOD_PRISCH = c(6.49806658702102,          6.57394481891556, 6.58539462985877, 6.34176102939636,          6.67335529701902, 6.67335529701902, 6.61604918176311,          6.70919168347838, 6.70919168347838, 6.70919168347838,          6.52939634907869, 6.67823761190993, 6.24898658848638,          6.63421015362065, 6.63421015362065, 6.57618460349959,          6.57618460349959, 6.32317863359129, 6.25532900137267,          6.74044920052795), PROX_MALL = c(0.388975340293238, 0.391567182053879,          0.478634609766659, 0.460595397283409, 0.339403259296736,          0.339403259296736, 0.517477751202279, 0.311149009276151,          0.311149009276151, 0.311149009276151, 0.161178852361569,          0.528820301792356, 0.60644342729779, 0.118546137622893,          0.118546137622893, 0.110811660449771, 0.110811660449771,          0.340817581482914, 0.657431321444681, 0.180580587241737         ), PROX_CHAS = c(0.140210421841136, 0.0895372628546906,          4.95402698497433e-08, 0.269388612247007, 0.16574506375663,          0.16574506375663, 0.0505118784777886, 0.215238065300109,          0.215238065300109, 0.215238065300109, 0.165813590617473,          0.104680199868824, 0.336408570757183, 0.110329053122027,          0.110329053122027, 0.114687044901222, 0.114687044901222,          0.347229964463676, 0.337342861051532, 0.0922372285822684         ), PROX_SUPERMARKET = c(0.287679129281494, 0.354688671920554,          0.427887094284235, 0.219989756424723, 0.344658205065017,          0.344658205065017, 0.47836894165083, 0.316789996913415,          0.316789996913415, 0.316789996913415, 0.162291812321236,          0.525839072677995, 0.338214025323699, 0.123371553336512,          0.123371553336512, 0.112847248683738, 0.112847248683738,          2.98731019421495e-07, 0.403551045123396, 0.186806037215644         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 0L,          1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 5L, 5L, 2L, 2L,          4L, 2L, 2L, 2L, 3L, 2L, 4L, 3L, 3L, 3L, 3L, 5L, 4L, 8L         ), WITHIN_350M_BUS = c(8L, 9L, 7L, 5L, 9L, 9L, 7L, 8L,          8L, 8L, 8L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 6L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 3L, 3L, 4L, 4L, 3L, 4L, 4L, 4L, 5L, 3L, 4L, 5L, 5L,          5L, 5L, 6L, 2L, 4L), DNeighbour = c(0, 83.6636319140214,          137.300441666545, 158.59026616576, 182.629994018014,          183.432249214172, 196.23653158343, 221.495610410315,          221.900536825578, 223.483123181471, 244.275264564756,          245.622478305328, 269.889327405821, 276.375770463041,          281.015615927184, 283.078166716356, 284.739689123634,          285.947966575387, 302.303019977433, 324.312038385974)), row.names = c("582",      "517", "654", "698", "28", "440", "912", "249", "919", "161",      "124", "653", "924", "538", "741", "408", "594", "956", "458",      "869"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.871329123360885,      0.673658634458263, 0.578929145823174, 0.466330641994112,      0.462524985980587, 0.401793033192244, 0.284676736619858,      0.282858072175682, 0.2757746194485, 0.187206612154436, 0.181815906128623,      0.0945312401094925, 0.0749503722758096, 0.0620915892109634,      0.0567011044847469, 0.0525097252785695, 0.0495480910986829,      0.0171929627583878, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1258587154 
R squared (OOB):                  0.1392496 

$Forests[[583]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 390000, 390000,      412000, 377000, 380000, 390000, 340000, 380000, 375000, 350000,      395000, 368888, 350000, 420000, 350000, 385000, 4e+05, 368000,      4e+05), floor_area_sqm = c(92, 93, 92, 92, 92, 93, 92, 92,      92, 92, 93, 93, 92, 92, 92, 104, 92, 92, 92, 92), storey_order = c(1L,      3L, 4L, 3L, 2L, 3L, 2L, 2L, 2L, 1L, 1L, 4L, 2L, 1L, 4L, 3L,      3L, 3L, 2L, 4L), remaining_lease_mths = c(1131, 1113, 1142,      1128, 1135, 1110, 1128, 1133, 1142, 1139, 1111, 1108, 1102,      1111, 1133, 812, 1132, 1136, 1100, 1142), PROX_CBD = c(14.6346875310408,      14.6879879340018, 14.5596883563906, 14.5596883563906, 14.5662038835035,      14.607628567626, 14.5136499050456, 14.8395197777251, 14.4940333615496,      14.8395197777251, 14.6221320584002, 14.6649260398624, 14.8482953663728,      14.8482953663728, 14.7615340778399, 14.8739209120931, 14.9536689261967,      14.7935232496013, 14.9752079088984, 14.8350589102573), PROX_ELDERLYCARE = c(0.318998242024868,      0.267910637295867, 0.399519357429504, 0.399519357429504,      0.396119369193007, 0.363539264939185, 0.440212280139716,      0.143171284390361, 0.500918112427577, 0.143171284390361,      0.410896008057539, 0.374463671675583, 0.157028625587627,      0.157028625587627, 0.301679225956583, 0.224374856243457,      1.13414610370389e-06, 0.348662381557687, 0.199763345782594,      0.366071958673004), PROX_HAWKER = c(0.567748890704442, 0.507741768149319,      0.625641729464286, 0.625641729464286, 0.661743266121302,      0.571839614015762, 0.681591249319273, 0.426817039061835,      0.682637638745144, 0.426817039061835, 0.55845452984231, 0.515424723672587,      0.332945546865787, 0.332945546865787, 0.582527401679673,      0.490895901627697, 0.283688306330561, 0.61938764744993, 0.202333554334061,      0.625406547060166), PROX_MRT = c(1.53691575721219, 1.51619569366002,      1.46473462254762, 1.46473462254762, 1.61118001364451, 1.42703012637354,      1.51230084146916, 1.58589972239689, 1.32800225952209, 1.58589972239689,      1.30119397664661, 1.31347134818138, 1.41585626072206, 1.41585626072206,      1.75082728996661, 1.67344316225132, 1.45204946878565, 1.80023823132094,      1.27457972333389, 1.81204065654847), PROX_PARK = c(0.633519966923,      0.573128508978659, 0.656743209310805, 0.656743209310805,      0.741043428920938, 0.592644125813336, 0.723946747094916,      0.573834160005083, 0.65941869562705, 0.573834160005083, 0.524601749565547,      0.48594234877488, 0.40224168015695, 0.40224168015695, 0.739209778966795,      0.671840643384197, 0.447466290733612, 0.794674698621811,      0.259935562114549, 0.813480610745631), PROX_GOOD_PRISCH = c(5.34297669438126,      5.38500296681299, 5.25302892838613, 5.25302892838613, 5.30307595814772,      5.28617698570013, 5.22451833965112, 5.56483468018996, 5.15263130971644,      5.56483468018996, 5.26427170666348, 5.30673314037113, 5.51627049340211,      5.51627049340211, 5.53447364393692, 5.63420261242257, 5.64958645026222,      5.58881641790013, 5.6171537261999, 5.6396253746677), PROX_MALL = c(0.633302242537752,      0.626246838364162, 0.550646738699849, 0.550646738699849,      0.69438942428714, 0.523782484457491, 0.591658790399046, 0.805396060532061,      0.407798057490129, 0.805396060532061, 0.412850725186958,      0.439421746266814, 0.649229394533883, 0.649229394533883,      0.897398400321744, 0.927972955155417, 0.806257336881612,      0.980189305249844, 0.689421511186311, 1.03026167893405),          PROX_CHAS = c(0.120955806912261, 0.160113448728027, 0.19650938121062,          0.19650938121062, 0.0799578054615725, 0.198893245072118,          0.179710137259641, 0.204546662914522, 0.0559452214520875,          0.204546662914522, 0.0938393111767789, 0.0969357032130768,          0.274130336331615, 0.274130336331615, 0.166975848000366,          0.25243947150411, 0.14456617920399, 0.244316778428722,          0.230775629929228, 0.298721071991625), PROX_SUPERMARKET = c(0.327836032489634,          0.300165340388346, 0.27843134046436, 0.27843134046436,          0.41943325951703, 0.223766299699327, 0.343491998264143,          0.280088374069707, 0.202112654374605, 0.280088374069707,          0.0938384818523742, 0.0969351949685631, 0.296829834724774,          0.296829834724774, 0.408349928269047, 0.298947211163532,          0.16127040484797, 0.416104879739584, 0.264202614673064,          0.402632437071234), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 6L,          3L, 3L, 3L, 4L, 4L, 5L, 4L, 5L, 6L, 6L, 5L, 5L, 3L, 3L,          7L, 2L, 4L, 2L), WITHIN_350M_BUS = c(8L, 7L, 7L, 7L,          6L, 7L, 6L, 5L, 9L, 5L, 9L, 8L, 9L, 9L, 4L, 6L, 6L, 6L,          9L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 3L, 4L,          4L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 65.3030872708504, 92.7029672783407,          96.091679937876, 107.713281671352, 111.751578972102,          115.586144637282, 229.583311104135, 229.668568631802,          231.647305997578, 234.618263909977, 237.0093065616, 240.77084279151,          241.559322797643, 270.229643366718, 324.229129940941,          328.576077912447, 353.694845113235, 398.944250370534,          401.244269145775)), row.names = c("583", "469", "163",      "961", "368", "452", "706", "543", "702", "152", "324", "17",      "195", "762", "620", "602", "139", "478", "558", "27"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.94772554596876, 0.896091514890552, 0.888583927472533, 0.861064460798053,      0.850878469179267, 0.840918517282831, 0.452406711669926,      0.4520796105849, 0.444487345928612, 0.433088514417609, 0.423918504719894,      0.409507049519293, 0.40648935133753, 0.298581214490699, 0.120436971118252,      0.108513873139714, 0.0497140340733232, 0.00013068087223675,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       506449267 
R squared (OOB):                  -0.02008194 

$Forests[[584]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(5e+05, 688000, 468888,      535000, 480000, 5e+05, 742000, 653000, 4e+05, 729999, 360000,      745000, 682000, 478000, 4e+05, 363000, 7e+05, 413888, 380000,      295000), floor_area_sqm = c(91, 90, 92, 92, 92, 91, 92, 91,      92, 100, 92, 100, 100, 92, 104, 97, 95, 88, 90, 99), storey_order = c(1L,      6L, 3L, 3L, 3L, 2L, 7L, 2L, 3L, 6L, 2L, 10L, 10L, 4L, 4L,      4L, 3L, 2L, 7L, 1L), remaining_lease_mths = c(690, 985, 701,      694, 692, 706, 1104, 1121, 708, 1122, 719, 1122, 1120, 716,      745, 701, 1100, 668, 985, 730), PROX_CBD = c(10.2183960492338,      9.84174458192399, 9.79963982832759, 9.76973796844692, 9.76973796844692,      10.2657373615824, 9.57467117229508, 9.51816518584724, 10.1748545259067,      9.41601606571959, 10.2629321739313, 9.28682806708392, 9.28682806708392,      9.58813304663833, 9.4187827620762, 12.1013944735855, 7.97001655790022,      7.88501742637481, 13.0015179461712, 13.0062996581569), PROX_ELDERLYCARE = c(0.670964346371623,      0.339166460968835, 0.390845215421192, 0.487200680071974,      0.487200680071974, 0.519949541574078, 0.0836678964153836,      0.0590206014568566, 0.889757070081441, 0.14515851054369,      1.00265829049513, 0.306248896776786, 0.306248896776786, 0.251441869005946,      0.579996323717894, 2.41403538414825, 0.682273370470252, 0.487583248392117,      2.41293236098656, 2.38777651439997), PROX_HAWKER = c(0.161327078165055,      0.272020065995023, 0.315572935590663, 0.323134910569429,      0.323134910569429, 0.527790221924738, 0.628838904549623,      0.5145461029689, 0.304343114187016, 0.552624576950901, 0.370496257898541,      0.449541776391294, 0.449541776391294, 0.391674386653945,      0.508914568418093, 0.561617227785994, 0.840126401207934,      0.645875214067525, 0.351298271738361, 0.353572407863602),          PROX_MRT = c(0.352113639571012, 0.348847208140378, 0.308409661615337,          0.307725216106606, 0.307725216106606, 0.351828842975553,          0.731513991246432, 0.689820066215858, 1.12559589355515,          0.796240617220745, 1.21137251272603, 0.819017740329599,          0.819017740329599, 0.707146681079003, 1.21403827268849,          1.71497473755306, 0.726942522279936, 0.707952731476156,          1.33144343213696, 1.27898935828478), PROX_PARK = c(0.412720152963846,          0.429024269124863, 0.556935587195362, 0.692980820038259,          0.692980820038259, 0.752867192571236, 0.402026431996325,          0.506309566114581, 0.326884491561474, 0.579398729399101,          0.429817985649402, 0.754667699158598, 0.754667699158598,          0.630094576064042, 0.633868788719276, 0.181629272169071,          0.618444971248099, 0.511064020035708, 1.07883678308045,          1.09068530070835), PROX_GOOD_PRISCH = c(0.778258345851083,          0.999365026226873, 0.97109568154285, 0.945616550360875,          0.945616550360875, 0.402201611323318, 1.37880970746963,          1.35033962190844, 1.53712936271762, 1.45792936689373,          1.58756538029025, 1.50498632547922, 1.50498632547922,          1.10432321767326, 1.8319493658717, 1.52909264222103,          2.78644315018514, 2.82520953766913, 2.38441646582032,          2.37986575446387), PROX_MALL = c(0.1993183735571, 0.188176716989659,          0.277854565241424, 0.3113714109904, 0.3113714109904,          0.347570072991699, 0.493679276753517, 0.508727078362918,          0.493589384976364, 0.616886214909116, 0.573348708551386,          0.732362808464395, 0.732362808464395, 0.759347764163403,          0.308706652763352, 1.69674818443598, 0.66906173274608,          0.535655644340599, 1.32151107168067, 1.26979124568258         ), PROX_CHAS = c(0.176868193181362, 0.139131199666608,          0.213793078898363, 0.164045702260751, 0.164045702260751,          0.329846033180528, 0.0836673580931749, 0.0590210156667789,          0.118978706369709, 0.145158576319141, 0.166187985395119,          0.30624919123722, 0.30624919123722, 0.395290416984683,          0.308706623046814, 0.26797195188846, 0.195243012850588,          0.102679570293108, 0.185431787540406, 0.178755496827681         ), PROX_SUPERMARKET = c(0.245740902557878, 0.139131268426574,          0.217115292225756, 0.329801606095394, 0.329801606095394,          0.353445486406562, 0.0769150331708007, 0.0642147642973091,          0.371852561025965, 0.145877744762322, 0.394772134126693,          0.309780650655361, 0.309780650655361, 0.20799335196523,          0.31508799294366, 0.570395350553557, 0.169510705521186,          0.158953339299884, 0.185431698278212, 0.178755398427066         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 1L, 1L,          0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 4L, 4L, 3L, 3L, 4L,          2L, 1L, 3L, 1L, 1L, 1L, 1L, 2L, 4L, 1L, 0L, 1L, 4L, 4L         ), WITHIN_350M_BUS = c(6L, 9L, 11L, 11L, 11L, 10L, 7L,          7L, 8L, 8L, 7L, 7L, 7L, 7L, 3L, 10L, 7L, 5L, 10L, 7L),          WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 3L, 3L, 3L, 2L, 2L,          0L, 2L, 0L, 1L, 1L, 2L, 0L, 0L, 1L, 1L, 0L, 0L), DNeighbour = c(0,          385.514846104156, 454.928518977704, 548.593447093998,          552.957278052077, 625.778291250212, 685.594345149105,          704.705073973736, 809.083824050244, 817.250616076847,          880.020108508803, 926.882100242109, 933.012621933923,          1043.01821671912, 1070.85363674978, 1887.94638075017,          2249.32317990353, 2338.34820556125, 2793.19850908121,          2798.70733638413)), row.names = c("584", "268", "943",      "68", "926", "649", "551", "983", "245", "928", "244", "308",      "794", "640", "278", "40", "904", "338", "45", "445"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.96241129725357, 0.947853450919223, 0.924631179676188, 0.92345131255425,      0.902509622311127, 0.883582277001939, 0.877216670448398,      0.839836304627501, 0.836731232301592, 0.81203294426536, 0.792666745079925,      0.790076797639962, 0.741511623508373, 0.728630552882199,      0.296964540799832, 0.12536210037642, 0.091157435876029, 1.54670707220301e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8170858190 
R squared (OOB):                  0.6263209 

$Forests[[585]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 380000, 420000,      420000, 380000, 345000, 340000, 345000, 310000, 325000, 295000,      343000, 370000, 350000, 335000, 390000, 336000, 345000, 323000,      325000), floor_area_sqm = c(93, 93, 93, 92, 93, 103, 101,      102, 104, 104, 105, 102, 103, 104, 101, 126, 104, 104, 104,      90), storey_order = c(1L, 1L, 3L, 6L, 1L, 5L, 5L, 2L, 1L,      1L, 1L, 5L, 4L, 2L, 2L, 2L, 4L, 4L, 3L, 4L), remaining_lease_mths = c(1139,      1138, 1139, 1104, 1142, 944, 943, 935, 879, 872, 870, 935,      881, 863, 933, 879, 958, 862, 956, 912), PROX_CBD = c(15.8422849591204,      15.9652529785268, 15.9652529785268, 16.0058570800758, 15.6174435761395,      15.6615925135045, 15.9284058495794, 16.0814208174046, 15.9652370890998,      15.9652370890998, 16.027241877126, 15.6558233565228, 15.9139497277605,      15.9139497277605, 16.135389698045, 16.1769042321823, 16.2237683329895,      16.2035530975804, 16.3822081442679, 16.3759795802925), PROX_ELDERLYCARE = c(0.241353796602158,      0.120425003900544, 0.120425003900544, 0.0922651494707867,      0.457575537702088, 0.372854461013726, 0.260351961534281,      0.129424766752979, 0.372962984236141, 0.372962984236141,      0.401697186037664, 0.268146833149962, 0.471057675436291,      0.471057675436291, 0.214357316635524, 0.382017171357745,      0.233700982090528, 0.462412199513001, 0.317064501792404,      0.437652472603004), PROX_HAWKER = c(2.37354129025836, 2.36922200206298,      2.36922200206298, 2.393526972262, 2.21004723991438, 2.39243139523594,      2.2342618496891, 2.40830007300065, 2.45115541279444, 2.45115541279444,      2.44772974464855, 2.27183532495414, 2.34701070601947, 2.34701070601947,      2.40272097648418, 2.55739022352562, 2.48966457045008, 2.51024920878341,      2.76474077583521, 2.71828200917597), PROX_MRT = c(0.721786411333246,      0.886101680623091, 0.886101680623091, 0.910164710677637,      0.70935210619912, 0.499275570100955, 1.02417718077332, 1.00126993569874,      0.52727924180445, 0.52727924180445, 0.538616250543522, 0.370313443989706,      0.424613907535265, 0.424613907535265, 1.09323648573999, 0.674610535324426,      1.11461848888664, 0.65447898159524, 1.02897813643603, 0.870089952652958     ), PROX_PARK = c(1.42084473696832, 1.58077599563476, 1.58077599563476,      1.6216647961598, 1.21748666352844, 1.19384102986047, 1.61207436869795,      1.7154732425778, 1.39203600576681, 1.39203600576681, 1.35146177086674,      1.16446299803307, 1.30337713627377, 1.30337713627377, 1.7942088991982,      1.39748820590438, 1.86547668850022, 1.32632916723033, 1.73717122008599,      1.49155883505512), PROX_GOOD_PRISCH = c(5.8611108446886,      5.96493131981452, 5.96493131981452, 6.00411547246196, 5.63578467655705,      5.71328270316738, 5.90870946924896, 6.0710937852797, 6.02718330754398,      6.02718330754398, 6.09534233388474, 5.73062396037349, 5.99275530970335,      5.99275530970335, 6.11593822040069, 6.23706483495109, 6.20687623278084,      6.27623366830878, 6.39421933734494, 6.4246273009838), PROX_MALL = c(0.177442774283774,      0.18546430077947, 0.18546430077947, 0.187934498474296, 0.401390812484646,      0.238209845871265, 0.350369242497661, 0.261655001598387,      0.238316612740974, 0.238316612740974, 0.275346491924215,      0.155488337640192, 0.338688619983659, 0.338688619983659,      0.350342319635, 0.292722816398213, 0.36788016328609, 0.370949542105629,      0.374078152135628, 0.409369768138594), PROX_CHAS = c(0.177442804982894,      0.185464348558652, 0.185464348558652, 0.187934543511456,      0.187858028295528, 0.238209795937414, 0.35036929019185, 0.26165503944411,      0.238316573509266, 0.238316573509266, 0.275346446899555,      0.155488306171375, 0.338688583692834, 0.338688583692834,      0.350342354631045, 0.292722768811081, 0.367880188789974,      0.370949494121523, 0.374078140160073, 0.409369730284335),          PROX_SUPERMARKET = c(0.197153631350279, 0.198556813498254,          0.198556813498254, 0.197516435852273, 0.412009517866082,          0.238833101010687, 0.363015443397577, 0.265481412722203,          0.177610526119132, 0.177610526119132, 0.141316208924405,          0.152010752053411, 0.112474666082431, 0.112474666082431,          0.352223797136593, 0.254565333705719, 0.364697803989784,          0.235998227482853, 0.357574924056941, 0.389543937857684         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 1L, 1L, 3L, 3L,          0L, 0L, 3L, 3L, 3L, 4L, 3L, 3L, 0L, 5L, 0L, 3L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(7L, 5L, 5L, 5L, 3L, 5L,          3L, 5L, 6L, 6L, 8L, 8L, 9L, 9L, 2L, 8L, 2L, 5L, 1L, 2L         ), WITHIN_350M_BUS = c(15L, 15L, 15L, 14L, 15L, 16L,          10L, 13L, 14L, 14L, 12L, 14L, 15L, 15L, 9L, 9L, 9L, 7L,          9L, 5L), WITHIN_1KM_PRISCH = c(3L, 2L, 2L, 2L, 3L, 3L,          2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 2L, 2L         ), DNeighbour = c(0, 171.733156663615, 179.920598182239,          211.297437454738, 223.58387519707, 265.863472246754,          295.507554257632, 305.437553365523, 314.094870520136,          315.888820478784, 374.625839319346, 380.138518948208,          382.914251325962, 386.525625448187, 395.664205154002,          446.923522606094, 450.571217124336, 515.283921413757,          541.134775415171, 583.106773341942)), row.names = c("585",      "913", "137", "154", "766", "572", "705", "890", "490", "566",      "463", "450", "927", "959", "88", "54", "394", "806", "173",      "974"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.834046484992776,      0.818651674168352, 0.754625212339397, 0.727570048028187,      0.627447675704633, 0.552305823273302, 0.526527831500104,      0.503884233252049, 0.499176402361648, 0.344848940365898,      0.330626514514203, 0.323501660386111, 0.314271953673635,      0.291142947491549, 0.170198232618026, 0.162346527471079,      0.0480035593862188, 0.0192595530229806, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       698169603 
R squared (OOB):                  0.372463 

$Forests[[586]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 315000, 268000,      310000, 323000, 331000, 310000, 415000, 568000, 4e+05, 370000,      385000, 565000, 370000, 362000, 508000, 423888, 530000, 368000,      420000), floor_area_sqm = c(105, 104, 84, 104, 104, 107,      105, 93, 92, 96, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92),          storey_order = c(3L, 1L, 3L, 3L, 2L, 2L, 3L, 4L, 4L,          2L, 1L, 3L, 5L, 1L, 1L, 1L, 5L, 2L, 2L, 3L), remaining_lease_mths = c(815,          807, 822, 869, 806, 869, 827, 1141, 1117, 1098, 1090,          1132, 1117, 1146, 1135, 1121, 1136, 1108, 1100, 1144),          PROX_CBD = c(15.4421704385289, 15.3877172812078, 15.3723771683987,          15.2437764157418, 15.5926635355646, 15.2221855529023,          15.6029325535915, 15.719551353229, 15.3987887594526,          15.0414874321427, 15.0414874321427, 14.9536689261967,          15.5121102277751, 15.87024444961, 15.9297907572658, 15.4653265021947,          15.9500375777464, 15.4274201584828, 14.9752079088984,          15.9392575628934), PROX_ELDERLYCARE = c(0.497101135842809,          0.4433955665635, 0.488083454274335, 0.313986883487753,          0.348154483747206, 0.277621781700774, 0.338118814836049,          0.251997184681221, 0.578356799737993, 0.180026828914976,          0.180026828914976, 1.13414610370389e-06, 0.536539272984936,          0.10693627682917, 0.0463608633689567, 0.595913887497293,          0.0923316964070077, 0.637452860447804, 0.199763345782594,          0.0436662178849567), PROX_HAWKER = c(0.380223054122965,          0.342886316384117, 0.473722511855576, 0.306302732963744,          0.438799857473275, 0.252887916114098, 0.432858942767381,          0.543607139892928, 0.294909248784724, 0.135868389364205,          0.135868389364205, 0.283688306330561, 0.396815374523363,          0.694651515851724, 0.768716574287481, 0.380307090885425,          0.798502368740115, 0.365463704587155, 0.202333554334061,          0.765854363537175), PROX_MRT = c(1.36083949137777, 1.37085724211185,          1.53295440749368, 1.43926724244883, 1.20427337027458,          1.3991563615676, 1.13678031777592, 1.04322565796881,          0.921278705332003, 1.27219969611937, 1.27219969611937,          1.45204946878565, 0.8698145169005, 1.09555222562317,          1.23034399571509, 0.848209897671344, 1.27956490520873,          0.843485398790606, 1.27457972333389, 1.14464062157712         ), PROX_PARK = c(0.607675278354181, 0.57859629393417,          0.719474571135727, 0.554495921895103, 0.608584573014238,          0.500874596291267, 0.578149656320062, 0.60075194434184,          0.283836897691409, 0.270313948020077, 0.270313948020077,          0.447466290733612, 0.357009242210065, 0.707790886000148,          0.846978318526899, 0.321827820326955, 0.8970097589344,          0.308677700833154, 0.259935562114549, 0.777956069134633         ), PROX_GOOD_PRISCH = c(6.14472917023144, 6.09187968106835,          6.12183876163327, 5.96162295702861, 6.25532900137267,          5.9271396376627, 6.24898658848638, 6.34176102939636,          5.98797030068414, 5.69200203864946, 5.69200203864946,          5.64958645026222, 6.0946998605156, 6.49806658702102,          6.58539462985877, 6.04109347904609, 6.61604918176311,          6.00000717285666, 5.6171537261999, 6.57394481891556),          PROX_MALL = c(0.860369947035052, 0.900250825960545, 1.02404161156211,          1.03199787585398, 0.657431321444681, 1.02106462402642,          0.60644342729779, 0.460595397283409, 0.692287086677849,          0.767711199656331, 0.767711199656331, 0.806257336881612,          0.577683661914992, 0.388975340293238, 0.478634609766659,          0.62067023459119, 0.517477751202279, 0.657665812567692,          0.689421511186311, 0.391567182053879), PROX_CHAS = c(0.200516789487464,          0.147116034863504, 0.183904955535591, 4.60754704120663e-08,          0.337342861051532, 0.0544459444778504, 0.336408570757183,          0.269388612247007, 0.0335692412129841, 0.163757574589084,          0.163757574589084, 0.14456617920399, 0.14804241676277,          0.140210421841136, 4.95402698497433e-08, 0.114224376246159,          0.0505118784777886, 0.0964991818226865, 0.230775629929228,          0.0895372628546906), PROX_SUPERMARKET = c(0.291068212048821,          0.236697160290918, 0.267991425015023, 0.0947293086454089,          0.403551045123396, 0.0768892314501321, 0.338214025323699,          0.219989756424723, 0.352133387221186, 0.197268674737732,          0.197268674737732, 0.16127040484797, 0.237787830949247,          0.287679129281494, 0.427887094284235, 0.284849629955282,          0.47836894165083, 0.324468805261885, 0.264202614673064,          0.354688671920554), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L,          0L, 1L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(6L, 4L,          4L, 4L, 4L, 5L, 4L, 5L, 1L, 4L, 4L, 7L, 2L, 4L, 5L, 1L,          4L, 2L, 4L, 3L), WITHIN_350M_BUS = c(9L, 7L, 7L, 8L,          6L, 8L, 6L, 5L, 6L, 9L, 9L, 6L, 6L, 8L, 7L, 7L, 7L, 7L,          9L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 3L, 2L, 3L,          4L, 3L, 4L, 3L, 3L, 3L, 4L, 4L, 3L, 4L, 3L, 4L, 3L, 4L         ), DNeighbour = c(0, 53.7972821778967, 182.585362674973,          195.735131097519, 199.888078750798, 217.273535700244,          257.418185663311, 395.003869749091, 462.335760588013,          463.353213366455, 465.609227061444, 487.699924994952,          489.349062942232, 497.040864769791, 505.89864844181,          518.510582309012, 520.770771224618, 541.494999513885,          543.195136263571, 545.62427289169)), row.names = c("586",      "895", "867", "578", "458", "679", "924", "698", "714", "632",      "793", "139", "605", "582", "654", "962", "912", "712", "558",      "517"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.980651506388184,      0.788577647767397, 0.7591783294074, 0.749591496551595, 0.708001205135881,      0.60437791403528, 0.226479458850776, 0.079521049833983, 0.0777467785604274,      0.0738705758022539, 0.0404222772539867, 0.0382752328057148,      0.0289528240384973, 0.0196881189242971, 0.00939281739028093,      0.00792568265682872, 0.000227366739093591, 7.89297748420923e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6270206830 
R squared (OOB):                  0.1878352 

$Forests[[587]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(313000, 315000, 318000,      327000, 320000, 302500, 275000, 358000, 402000, 310000, 370000,      355000, 340000, 355000, 315000, 315000, 387008, 320800, 310000,      418000), floor_area_sqm = c(84, 104, 84, 84, 93, 93, 84,      91, 93, 96, 93, 104, 91, 93, 91, 97, 97, 92, 91, 104), storey_order = c(4L,      4L, 1L, 1L, 3L, 2L, 1L, 1L, 4L, 1L, 1L, 4L, 2L, 4L, 3L, 3L,      2L, 1L, 3L, 1L), remaining_lease_mths = c(772, 777, 785,      802, 762, 764, 807, 760, 762, 772, 782, 814, 782, 761, 774,      746, 775, 965, 774, 794), PROX_CBD = c(15.5029529482698,      15.5029529482698, 15.4237712873611, 15.395293903354, 15.7384939989151,      15.7384939989151, 15.555826242216, 15.6053010835868, 15.8715793299193,      16.0124832316584, 15.9422949327985, 14.9797222810306, 16.0688727275577,      16.1297617902268, 16.1626205207603, 16.179026897848, 15.8742411347238,      16.3149444157129, 16.3680873997092, 14.6249352309891), PROX_ELDERLYCARE = c(1.60634233373903,      1.60634233373903, 1.66429806880172, 1.48326161455178, 1.81389464514152,      1.81389464514152, 1.98144426857027, 1.18278326755006, 1.28212929908789,      1.41328722649904, 1.09392979000114, 1.40865121451131, 1.20623153653763,      1.29938230642316, 1.55788424655444, 1.73064849730919, 0.784609866943175,      1.76400828031834, 1.42545230549203, 1.66362706878828), PROX_HAWKER = c(0.592613874358246,      0.592613874358246, 0.663653920640621, 0.763118949388798,      0.367446283592148, 0.367446283592148, 0.587918588004233,      0.745618024005524, 0.428166805124, 0.231474226543029, 0.571238530927929,      1.17708155532767, 0.426544691499688, 0.335840869363962, 0.113648031708615,      0.141690035201285, 0.921851461637316, 0.267171899978326,      0.369132496020862, 1.46189875323845), PROX_MRT = c(0.579811001445256,      0.579811001445256, 0.641519249244255, 0.486709870425329,      0.817431272071058, 0.817431272071058, 0.961984472446029,      0.180817781363956, 0.326170963259121, 0.526610558032509,      0.22642613478059, 0.541117453484526, 0.406145228037129, 0.514969181151661,      0.733071345608223, 0.887672461516919, 0.243577544220952,      0.980548762507945, 0.767751604782153, 0.177135615746217),          PROX_PARK = c(0.518465718930498, 0.518465718930498, 0.527546900647844,          0.736647900507106, 0.197322246351151, 0.197322246351151,          0.155244626205508, 0.580682002012541, 0.729541055973412,          0.641040622161513, 0.749126986336644, 0.869949400509587,          0.697314652170583, 0.709135847201637, 0.622244080025509,          0.539742315344257, 0.457440234531046, 0.504828773517413,          0.655349613079545, 0.967683324465338), PROX_GOOD_PRISCH = c(5.8805780078001,          5.8805780078001, 5.79932453842233, 5.79164197089728,          6.09593783675615, 6.09593783675615, 5.90755023148013,          6.02648848177283, 6.26806838260706, 6.39414010271149,          6.35759010380229, 5.38873705701154, 6.46919552361138,          6.52049985370614, 6.53246509089368, 6.53838177865997,          6.33578781760894, 6.672975925328, 6.74866006620563, 5.00900650468442         ), PROX_MALL = c(0.667352945771092, 0.667352945771092,          0.726704111983395, 0.561468969675593, 0.906877360376741,          0.906877360376741, 1.05229171505891, 0.252610517585887,          0.405953132327172, 0.598952481573277, 0.275355858531219,          0.857174016474006, 0.45653839484425, 0.568960814514176,          0.800586392071248, 0.960112961135972, 0.159478773824134,          0.965701391482886, 0.812249060303789, 1.02277508016934         ), PROX_CHAS = c(0.128101303359069, 0.128101303359069,          0.11942955396425, 0.1019571402223, 0.184740133551779,          0.184740133551779, 0.0651877268759985, 0.0925674017483885,          0.170717118999449, 0.191204296760245, 0.101928728560798,          0.0593781975043205, 0.123235071398074, 0.215228497760129,          0.107377285719627, 0.0821179618758864, 0.159478805927642,          0.215258950862385, 0.317481852326526, 0.253202817693943         ), PROX_SUPERMARKET = c(0.314517101025506, 0.314517101025506,          0.307102160965552, 0.0953919744611677, 0.287892528450529,          0.287892528450529, 0.511049564140858, 0.188530812320699,          0.323117190327721, 0.214004200599592, 0.218983947734938,          0.101389584423307, 0.399183655269817, 0.353026966783941,          0.191669323632479, 0.224545288466622, 0.159478664733051,          0.357579925001748, 0.442251956603444, 0.177136085505812         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 3L, 3L,          1L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 3L, 3L, 0L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L, 2L, 7L, 7L,          6L, 5L, 2L, 4L, 2L, 3L, 3L, 3L, 5L, 3L, 5L, 1L, 2L, 1L         ), WITHIN_350M_BUS = c(10L, 10L, 11L, 9L, 10L, 10L, 7L,          10L, 8L, 8L, 8L, 10L, 9L, 8L, 9L, 8L, 8L, 8L, 8L, 9L),          WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 4L, 3L, 3L, 1L, 4L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 6L, 3L, 4L, 2L), DNeighbour = c(0,          1.42686858784411, 80.6274456302515, 217.301202230233,          372.523632423175, 377.599417088041, 419.044563090643,          429.562407491505, 430.644615330824, 515.324981645624,          589.132179718334, 590.522304695241, 624.65809247927,          645.643244605877, 669.138237292218, 721.789116210652,          824.118824359894, 852.145971522942, 872.238044768262,          876.16730037959)), row.names = c("587", "162", "293",      "556", "803", "437", "426", "143", "294", "740", "708", "984",      "804", "184", "335", "336", "83", "980", "198", "30"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999994695758457, 0.983135286665462, 0.880762297199283,      0.671132869879407, 0.66303111274318, 0.594838557290952, 0.577039258463018,      0.575198378521163, 0.42780747678113, 0.300175128800267, 0.297838958680969,      0.241779766595798, 0.208836073392764, 0.173677353329795,      0.103265096135044, 0.0132895995361351, 0.00292476397371183,      8.00860091007772e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       864124477 
R squared (OOB):                  0.3431896 

$Forests[[588]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(520000, 5e+05, 430000,      4e+05, 380000, 648000, 410000, 565000, 5e+05, 560000, 408000,      670000, 448000, 439000, 588000, 435000, 630000, 638000, 516000,      450000), floor_area_sqm = c(89, 105, 102, 97, 91, 116, 97,      103, 105, 104, 91, 94, 105, 97, 95, 98, 102, 102, 98, 92),          storey_order = c(3L, 1L, 3L, 3L, 3L, 4L, 4L, 4L, 2L,          3L, 3L, 6L, 1L, 3L, 3L, 1L, 6L, 9L, 3L, 1L), remaining_lease_mths = c(801,          837, 869, 681, 691, 871, 665, 852, 857, 851, 674, 1104,          866, 669, 1025, 692, 870, 869, 698, 679), PROX_CBD = c(8.52269583143835,          8.1677095895917, 8.77938926255451, 9.29171741525155,          9.09613481662016, 8.27332873959955, 8.66747718420982,          8.19182633034048, 8.19182633034048, 7.6651195249001,          8.96374942103709, 8.58683984966127, 8.05276498978228,          8.73211086874077, 8.51090417959469, 8.85689554561162,          7.86314261154951, 7.86314261154951, 8.70928269501252,          8.7589377611275), PROX_ELDERLYCARE = c(0.820777449495704,          1.20406929281345, 0.374310234303432, 0.121888026553089,          0.297153722290783, 0.354571010374291, 0.0441159965049124,          0.444818640633349, 0.444818640633349, 0.216787702409289,          0.267188539522683, 0.203840329735754, 0.599632276485302,          0.292319821872094, 0.120425912751251, 0.272187629818594,          0.731462959428347, 0.731462959428347, 0.119444653145476,          0.169235371196244), PROX_HAWKER = c(0.712401259368985,          1.05731826075231, 0.0530841043788875, 0.631142210027013,          0.276770006011078, 0.610975272844239, 0.357845486047337,          0.553760551741158, 0.553760551741158, 0.778265933598076,          0.393731145214296, 0.433030813326955, 0.560005371648267,          0.436547444862961, 0.166697492306482, 0.446318851105742,          0.573870222021737, 0.573870222021737, 0.281172749103646,          0.330091511745513), PROX_MRT = c(1.68231360215177, 1.50309798042285,          1.18818107396501, 1.65516610461175, 1.2652859093471,          1.0936063211659, 0.874328108605637, 1.08457427678223,          1.08457427678223, 0.910191895307983, 0.71987240697712,          0.751078096441513, 1.12051759514643, 0.600073719023998,          0.608243230971526, 0.372678744867538, 0.85984195598231,          0.85984195598231, 0.379410256905797, 0.338391484905848         ), PROX_PARK = c(0.11043559696871, 0.277033303037393,          0.700959888788064, 0.199649911236163, 0.429900368262469,          0.477465658778908, 0.691303172853456, 0.374102285306053,          0.374102285306053, 0.361681715476141, 0.60552725382935,          0.52118662053352, 0.30128672956265, 0.617507126900098,          0.368529270986479, 0.479885299937475, 0.281207712521794,          0.281207712521794, 0.513364518506117, 0.469340752260783         ), PROX_GOOD_PRISCH = c(0.287100670168393, 0.400680757073332,          0.963274696928036, 0.365175047542414, 0.657187468393487,          0.856939381531897, 1.23754792076915, 0.769163347741007,          0.769163347741007, 0.353240700451805, 1.13785719900195,          1.16640042723588, 0.631981624625733, 1.31940815963163,          1.13331232297991, 1.47413984574199, 0.562813849840511,          0.562813849840511, 1.35677240305411, 1.40615721612308         ), PROX_MALL = c(1.03817238314954, 0.459466565518009,          0.946404029132472, 1.26787190539693, 0.916512124719577,          0.991200103712322, 0.740457696387364, 0.997182626507123,          0.997182626507123, 0.987031177772312, 0.480317195978648,          0.632538285087724, 1.07178760783233, 0.469553394647833,          0.540250505232014, 0.241772845363545, 0.943364056194349,          0.943364056194349, 0.313890580083005, 0.264395031718586         ), PROX_CHAS = c(0.0550867573210672, 0.622343110317744,          0.064920565519497, 0.143872847977416, 0.209184408253321,          0.413431749899638, 0.34300149800099, 0.311461966699573,          0.311461966699573, 0.371562543403755, 0.143131544605207,          0.237191200694799, 0.167974733321899, 0.0664211666443358,          0.0869956868442428, 0.157458356405151, 0.201852081003395,          0.201852081003395, 0.112175615725657, 0.0806835690144568         ), PROX_SUPERMARKET = c(0.153408018077838, 0.435289148003299,          0.239175324970861, 0.371928496535936, 0.235755012868274,          0.502190497784501, 0.158725757407685, 0.485938543293979,          0.485938543293979, 0.176585087131714, 0.181164390242962,          0.35437102597818, 0.372458117254617, 0.350370254212894,          0.0869967242830128, 0.224853982916395, 0.115543350477338,          0.115543350477338, 0.221335227738319, 0.24726445439454         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 1L, 1L, 0L,          0L, 0L, 0L, 0L, 1L, 1L, 3L, 1L, 2L, 2L, 4L, 4L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 1L, 2L, 3L, 3L, 4L,          2L, 2L, 2L, 1L, 4L, 5L, 3L, 6L, 6L, 7L, 3L, 3L, 7L, 8L         ), WITHIN_350M_BUS = c(6L, 7L, 4L, 9L, 7L, 8L, 5L, 7L,          7L, 5L, 6L, 4L, 5L, 7L, 5L, 7L, 2L, 2L, 6L, 6L), WITHIN_1KM_PRISCH = c(2L,          1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 0L, 2L, 2L, 1L, 3L, 3L,          3L, 2L, 2L, 4L, 3L), DNeighbour = c(0, 667.600661102221,          712.871161779006, 801.30484601102, 819.509320614435,          1009.86661605369, 1024.56852452516, 1109.03529435638,          1112.28916083114, 1159.50559060601, 1195.8078424368,          1196.95155031091, 1226.86880952442, 1305.48104792047,          1440.90413577853, 1525.52423511348, 1578.1354033034,          1581.01861270219, 1585.81677541842, 1603.3882727667)), row.names = c("588",      "534", "606", "122", "715", "795", "331", "128", "674", "935",      "692", "149", "635", "842", "94", "397", "476", "931", "446",      "194"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.683328929891759,      0.643730562473043, 0.562864158990162, 0.545774590702637,      0.363983647209175, 0.350080814937636, 0.272041096753209,      0.269116207049489, 0.227567372668497, 0.196942065852606,      0.195998407470529, 0.171819251241669, 0.113620234921449,      0.0370202932125768, 0.00898061065031748, 0.000976645549250505,      0.000767752194109775, 0.000475146590253378, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5711964927 
R squared (OOB):                  0.3262342 

$Forests[[589]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(312000, 357000, 645000,      355000, 395000, 428000, 320000, 295000, 380000, 465000, 455000,      430000, 342000, 4e+05, 390000, 345000, 365000, 450000, 365000,      371000), floor_area_sqm = c(104, 104, 91, 94, 107, 98, 99,      99, 90, 106, 106, 91, 94, 91, 90, 92, 91, 93, 105, 91), storey_order = c(2L,      3L, 8L, 1L, 2L, 3L, 2L, 1L, 7L, 2L, 4L, 4L, 1L, 2L, 2L, 2L,      5L, 4L, 2L, 2L), remaining_lease_mths = c(828, 844, 1124,      1071, 755, 730, 736, 730, 985, 933, 933, 962, 747, 956, 947,      974, 965, 950, 771, 957), PROX_CBD = c(15.1925589930818,      15.1925589930818, 14.8760787686193, 15.3735649652411, 15.936744569076,      14.0949321583848, 13.0062996581569, 13.0062996581569, 13.0015179461712,      17.1401277939721, 17.1634204962367, 17.4594236905894, 13.7770670669378,      17.5146993337396, 17.5579663674298, 17.6174166659189, 17.6174166659189,      17.4336546583772, 14.8222691165004, 17.630719557776), PROX_ELDERLYCARE = c(0.485996598795361,      0.485996598795361, 0.68142631506584, 0.0572763643156628,      0.526555480516014, 1.07365166923746, 2.38777651439997, 2.38777651439997,      2.41293236098656, 0.586863575497558, 0.565792923614884, 1.1429422216578,      0.919307603677702, 1.21552371031002, 1.26304449634962, 1.58663462608392,      1.58663462608392, 0.825709875044437, 0.151522520392741, 1.35614304544574     ), PROX_HAWKER = c(0.787542750423298, 0.787542750423298,      0.74974565017819, 0.371848396937832, 0.44834457013621, 0.516176882783883,      0.353572407863602, 0.353572407863602, 0.351298271738361,      0.685044657792881, 0.666841975849823, 0.704564458032275,      0.478671478091809, 0.65109908849923, 0.610726758846462, 0.699652587196505,      0.699652587196505, 0.841716009165303, 0.189112683951821,      0.550798352023498), PROX_MRT = c(1.85503706760258, 1.85503706760258,      1.79130926962811, 0.753708157385654, 0.239432195714991, 0.499812381699912,      1.27898935828478, 1.27898935828478, 1.33144343213696, 0.418422993771755,      0.463116738810145, 0.304209523777939, 0.771349314593772,      0.367017506823782, 0.415424130147435, 0.430901962912929,      0.430901962912929, 0.463093751675267, 0.506610369321483,      0.481509556817778), PROX_PARK = c(1.41855585272788, 1.41855585272788,      1.13853863936216, 0.535685352466539, 0.747611444367071, 0.62523741493865,      1.09068530070835, 1.09068530070835, 1.07883678308045, 0.454841043819919,      0.505224516024672, 0.515475588097358, 0.941140572803456,      0.57589083993138, 0.622915525490857, 0.815337468455046, 0.815337468455046,      0.609424449579261, 1.20591145519053, 0.706852169587072),          PROX_GOOD_PRISCH = c(4.5504124031687, 4.5504124031687,          4.21930918110887, 4.72825571795328, 5.39194564581962,          3.57828936266804, 2.37986575446387, 2.37986575446387,          2.38441646582032, 6.48254224033906, 6.50789265243056,          6.79149624878531, 3.3146343023011, 6.84682201594428,          6.89020500321914, 6.95710824587607, 6.95710824587607,          6.77374769998522, 4.44405903659268, 6.96345421686322),          PROX_MALL = c(0.816582289717011, 0.816582289717011, 0.829646558484038,          0.408391974099547, 0.942416713928675, 0.812049880186,          1.26979124568258, 1.26979124568258, 1.32151107168067,          0.306862579253759, 0.353588302636786, 0.366883459562171,          0.672803550263317, 0.437698049352173, 0.488271313828636,          0.753687860987251, 0.753687860987251, 0.404491618549369,          1.74752862756084, 0.581015113036356), PROX_CHAS = c(0.0584110846116202,          0.0584110846116202, 0.426635940266524, 0.289984207596008,          0.145251548786172, 0.135156069731972, 0.178755496827681,          0.178755496827681, 0.185431787540406, 0.133156315003352,          0.171584438209325, 0.293637386768921, 0.0886717393158711,          0.354009255575758, 0.40162373925963, 0.430898255483663,          0.430898255483663, 0.260153188296123, 0.191193294854487,          0.481496129777697), PROX_SUPERMARKET = c(0.515584409426496,          0.515584409426496, 0.341487242626205, 0.406388098650168,          0.434198104817495, 0.352618767904154, 0.178755398427066,          0.178755398427066, 0.185431698278212, 0.27639551573194,          0.320581809168482, 0.217741105325511, 0.334979160094168,          0.288534867112482, 0.339170507836652, 0.467885028141574,          0.467885028141574, 0.355873580059747, 0.188017328828043,          0.432325009404537), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 2L, 2L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L,          2L, 2L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(4L, 4L,          6L, 4L, 2L, 1L, 4L, 4L, 4L, 3L, 4L, 6L, 3L, 6L, 6L, 4L,          4L, 4L, 2L, 6L), WITHIN_350M_BUS = c(11L, 11L, 10L, 12L,          7L, 9L, 7L, 7L, 10L, 7L, 8L, 8L, 10L, 10L, 9L, 6L, 6L,          12L, 6L, 8L), WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 1L, 4L,          2L, 0L, 0L, 0L, 4L, 4L, 4L, 2L, 4L, 4L, 3L, 3L, 6L, 2L,          4L), DNeighbour = c(0, 1.24384144840046, 381.060731919811,          1147.30671119502, 2092.3217848257, 2094.33414032855,          2186.88921465138, 2191.59975772474, 2193.09533423281,          2211.27936503679, 2244.39555108455, 2354.75659167805,          2386.15600369536, 2394.02919366709, 2426.76430400788,          2431.63621665976, 2434.88215990004, 2452.42115979271,          2478.19035702147, 2490.61327275242)), row.names = c("589",      "104", "312", "601", "423", "25", "412", "445", "45", "530",      "991", "937", "337", "93", "545", "14", "220", "535", "64",      "547"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999999501175938,      0.953730724901395, 0.620627999239803, 0.0865893069381757,      0.0857918300855078, 0.0524519029996877, 0.0509399814504454,      0.0504639051761871, 0.0448298760174038, 0.0353227908065188,      0.011261355708673, 0.00674398445703997, 0.00578430860550576,      0.00256182638728496, 0.00219012162516921, 0.0019582587654141,      0.000926209968949913, 9.90205998352507e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11260617706 
R squared (OOB):                  -0.948634 

$Forests[[590]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 333000, 340000,      333000, 375000, 373888, 360000, 358000, 337000, 320000, 333000,      364000, 324000, 330000, 395000, 4e+05, 320000, 345000, 368888,      380000), floor_area_sqm = c(100, 103, 105, 100, 93, 93, 105,      101, 105, 100, 90, 100, 90, 102, 92, 92, 101, 102, 92, 92     ), storey_order = c(4L, 1L, 1L, 4L, 5L, 5L, 3L, 3L, 1L, 4L,      2L, 2L, 4L, 1L, 3L, 4L, 1L, 2L, 4L, 4L), remaining_lease_mths = c(930,      953, 956, 928, 993, 990, 960, 960, 947, 930, 1009, 921, 929,      911, 1132, 1145, 924, 927, 1143, 1135), PROX_CBD = c(17.9186379864086,      17.7412802518209, 17.6472423100513, 18.2095446148373, 17.8363687874637,      17.8363687874637, 17.6410789876396, 17.5852868111176, 17.5852868111176,      18.242108360018, 17.8072819651564, 17.9386403893839, 18.3448727328387,      18.2320763538069, 18.4477570786683, 18.4659506582063, 18.0902268845521,      18.2868848905217, 18.528449956106, 18.528449956106), PROX_ELDERLYCARE = c(1.13507400842797,      1.00357172816211, 1.0260991137238, 1.17430183890643, 1.40920769604983,      1.40920769604983, 0.969292416022308, 0.979721953613503, 0.979721953613503,      1.08331104464233, 1.52664538751384, 0.714833653499633, 1.12000720290482,      0.927534095024191, 1.45029388933935, 1.40960952841152, 0.706169610995159,      0.896456720381782, 1.49671415705568, 1.49671415705568), PROX_HAWKER = c(0.435091735724103,      0.286367973105455, 0.322354465675231, 0.579651089601917,      0.692541487012902, 0.692541487012902, 0.270187519380927,      0.300047945510982, 0.300047945510982, 0.548257960059823,      0.809141875883089, 0.201936965562497, 0.636376603494217,      0.493410913505403, 0.879695992543251, 0.861254406292383,      0.370412154176866, 0.547085889030319, 0.947708217710491,      0.947708217710491), PROX_MRT = c(0.364011265623101, 0.240079810641839,      0.296963624455722, 0.501132314022455, 0.634260663268818,      0.634260663268818, 0.253083991654003, 0.294966346549802,      0.294966346549802, 0.47401652613315, 0.753928873695942, 0.168914117564514,      0.565211037998289, 0.433316978327494, 0.801027338961469,      0.783375472664302, 0.341202563029131, 0.495991449430539,      0.869531291623609, 0.869531291623609), PROX_PARK = c(2.31505119222808,      2.28949331488756, 2.2163258228061, 2.25371860749481, 2.04440878541867,      2.04440878541867, 2.26013213847351, 2.22462050149276, 2.22462050149276,      2.12857307310705, 1.93736074272598, 1.99379565561889, 2.08056453235766,      1.96114614265628, 2.38376543636855, 2.321508063195, 1.8531048262974,      1.86697967968657, 2.37596217173297, 2.37596217173297), PROX_GOOD_PRISCH = c(8.3676789538936,      8.20478390995202, 8.10862356805264, 8.6635222339794, 8.25468587074647,      8.25468587074647, 8.10977708422392, 8.05369522760851, 8.05369522760851,      8.71021480286832, 8.21423979230025, 8.4444135457925, 8.81498363377987,      8.72297519828522, 8.8804818877731, 8.90481615501782, 8.60631027953587,      8.78822500750919, 8.9605147002348, 8.9605147002348), PROX_MALL = c(0.384238747959315,      0.222110908162432, 0.255877276101632, 0.468966497593582,      0.630636123898788, 0.630636123898788, 0.204458422444813,      0.237472256939882, 0.237472256939882, 0.347669457974494,      0.745769461616378, 0.238372860218233, 0.284195187673565,      0.22704735136933, 0.601716003339109, 0.542775018358786, 0.342860958869265,      0.1450338527091, 0.613385110580272, 0.613385110580272), PROX_CHAS = c(0.360842629752134,      0.222110881748482, 0.212266026856788, 0.3998394205418, 0.221589023831152,      0.221589023831152, 0.201289943337815, 0.145295883687343,      0.145295883687343, 0.274735402884708, 0.195830090979757,      0.076984763134016, 0.24769320941352, 0.11607611654581, 0.260006933015678,      0.20305264112251, 0.209799590563819, 0.0217240252323136,      0.220932244035638, 0.220932244035638), PROX_SUPERMARKET = c(0.360842909613722,      0.222110358133712, 0.255876154174577, 0.402574253870019,      0.22158921197453, 0.22158921197453, 0.204457160029983, 0.237470779768967,      0.237470779768967, 0.347668959247477, 0.265666518411173,      0.171190500184261, 0.284194910851331, 0.227046556279957,      0.260005577706646, 0.203051245143547, 0.342860053820009,      0.145032957963293, 0.220931072377982, 0.220931072377982),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 1L, 1L, 1L,          0L, 0L, 0L, 1L, 1L, 1L, 1L, 2L, 0L, 0L, 2L, 2L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 5L, 6L, 2L, 3L, 3L,          5L, 5L, 5L, 3L, 2L, 6L, 5L, 5L, 3L, 3L, 6L, 7L, 3L, 3L         ), WITHIN_350M_BUS = c(11L, 16L, 13L, 8L, 6L, 6L, 15L,          15L, 15L, 7L, 4L, 8L, 8L, 10L, 8L, 6L, 7L, 9L, 6L, 6L         ), WITHIN_1KM_PRISCH = c(3L, 4L, 4L, 4L, 3L, 3L, 4L,          4L, 4L, 4L, 3L, 5L, 4L, 4L, 3L, 4L, 5L, 4L, 3L, 3L),          DNeighbour = c(0, 211.696838307703, 288.297562345864,          297.533779307736, 298.468938930391, 307.687978251768,          310.21621755188, 362.664817898355, 364.796990883953,          373.457980310658, 425.626120163069, 442.702830289332,          471.865693517048, 475.330091970626, 541.463232055804,          547.876134400961, 551.00860279151, 571.328272288689,          626.394374029313, 627.17269034433)), row.names = c("590",      "242", "554", "243", "118", "391", "615", "224", "800", "608",      "358", "638", "512", "443", "504", "777", "74", "787", "875",      "102"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.785112435377116,      0.622041423422205, 0.600532031955849, 0.598337911020602,      0.576561160276456, 0.570545539413008, 0.443053795496764,      0.437819861412991, 0.416572272889756, 0.291000033192264,      0.251749595543243, 0.188303853624872, 0.18113321080231, 0.064843643226738,      0.056114089272424, 0.0520446600744948, 0.0289526124483608,      6.15260250796505e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       333023665 
R squared (OOB):                  0.4530544 

$Forests[[591]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 4e+05, 328000,      361000, 360000, 325000, 370000, 333000, 388000, 360000, 408000,      330000, 395000, 4e+05, 368000, 325000, 345000, 340000, 309000,      335000), floor_area_sqm = c(84, 103, 84, 84, 103, 85, 98,      84, 100, 104, 100, 84, 101, 104, 100, 84, 91, 104, 91, 93     ), storey_order = c(2L, 3L, 4L, 4L, 1L, 1L, 2L, 3L, 4L, 2L,      4L, 3L, 4L, 2L, 2L, 5L, 3L, 1L, 2L, 5L), remaining_lease_mths = c(796,      796, 806, 794, 798, 830, 912, 823, 922, 804, 921, 791, 936,      822, 923, 812, 773, 869, 774, 921), PROX_CBD = c(10.2571858212528,      10.2571858212528, 10.2439629519707, 10.1908965186918, 10.1540744969693,      10.1989356004427, 10.6430674352334, 9.85122377146013, 10.3133134299625,      10.0879656312395, 10.7481925626994, 9.73525531751342, 10.5347600839054,      10.8294299245227, 10.5911430304609, 9.87023127008802, 9.63489497584329,      10.9782438935663, 9.64616581570663, 10.6321305837804), PROX_ELDERLYCARE = c(0.969336561855173,      0.969336561855173, 0.904720646157319, 0.891997547710976,      0.85844301108046, 1.08623091115154, 1.10983952182968, 0.999223533815273,      1.4124150938613, 1.31022889057949, 1.00181077128688, 0.869795033999967,      1.31633228018286, 0.925828280583076, 1.2745451415541, 1.35138892750767,      0.42629854090558, 0.748731634955849, 0.306199433665808, 1.32435226249417     ), PROX_HAWKER = c(0.543600998034675, 0.543600998034675,      0.616195579705155, 0.594526114354717, 0.614574465644474,      0.368744432216956, 0.494234864614673, 0.526313717816828,      0.0623262564011618, 0.196699811405185, 0.591883114810231,      0.687117415591119, 0.259744380023822, 0.558859907936318,      0.314632743063994, 0.410023469086153, 0.908741650371918,      0.421987441153261, 0.906506968115566, 0.382898898882956),          PROX_MRT = c(0.5984056038899, 0.5984056038899, 0.52596302633555,          0.554399001312584, 0.544743966599557, 0.78040997284139,          0.91242151857363, 0.907717901248049, 1.09471398918577,          1.09046737609619, 0.80807654444201, 0.86810604264512,          1.15842683571226, 0.633065114071651, 1.14211364891441,          1.23646610314009, 0.669484450879797, 0.516121726350597,          0.626377719466395, 1.20430491709432), PROX_PARK = c(0.690393008756984,          0.690393008756984, 0.626908579085899, 0.61263038213259,          0.578916018382343, 0.808282577864154, 1.09293299728603,          0.510337594738446, 0.826294351272671, 0.604882226694947,          1.13130385684233, 0.452373350223662, 1.00657829367171,          0.822296725898933, 0.997953552798557, 0.375073916060521,          0.197084482081202, 1.01560706627581, 0.106198450905693,          0.852996238213812), PROX_GOOD_PRISCH = c(1.38840710840139,          1.38840710840139, 1.44855804010835, 1.40421671412888,          1.40445923276907, 1.199846441039, 1.4206810513637, 1.05242409875061,          0.993301788551023, 0.87937610392538, 1.51127824976447,          1.15234422615158, 1.12709017589061, 1.88031331185984,          1.15731102426836, 0.706117631385061, 1.59153495480405,          1.81228643023267, 1.71137279935344, 1.09467860924251),          PROX_MALL = c(0.638527944164543, 0.638527944164543, 0.644656189163291,          0.685823836221668, 0.685950169481642, 0.663851500718272,          0.220538248250442, 0.756051767526383, 0.450275200033962,          0.441232897113797, 0.114469773448463, 0.907839978504126,          0.464767570965945, 0.43093778326398, 0.441630162720786,          0.445899708163642, 0.873569112263515, 0.231229629812008,          0.808294932987377, 0.512358501951296), PROX_CHAS = c(0.0819899420632749,          0.0819899420632749, 0.155315138624813, 0.151788880767358,          0.170954716034814, 0.0710453772718398, 0.0703959269798554,          3.39583191183935e-08, 0.071192987667569, 0.177420148260447,          0.0793642323922721, 0.116614388177292, 0.272565000598528,          0.0390568763467083, 0.327465416824022, 0.0764125853219005,          0.454068185577158, 0.23122963873357, 0.415210445937219,          0.394471723674887), PROX_SUPERMARKET = c(0.123486578338512,          0.123486578338512, 0.18505229065347, 0.152401712794372,          0.171715993026927, 0.00115080458448496, 0.220538485726081,          0.350225948243757, 0.330151298165832, 0.320748009942088,          0.114469867006585, 0.458729641056945, 0.464768447350912,          0.430936681100737, 0.441631117888638, 0.158655939798418,          0.717910522287554, 0.231228589734032, 0.675617328849562,          0.447614574279886), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 1L,          1L, 0L, 2L, 1L, 2L), WITHIN_350M_CHILDCARE = c(2L, 2L,          1L, 2L, 2L, 4L, 2L, 3L, 4L, 5L, 4L, 2L, 1L, 4L, 1L, 5L,          1L, 5L, 1L, 3L), WITHIN_350M_BUS = c(10L, 10L, 10L, 12L,          14L, 12L, 13L, 10L, 15L, 11L, 10L, 10L, 15L, 11L, 13L,          8L, 5L, 9L, 8L, 12L), WITHIN_1KM_PRISCH = c(5L, 5L, 6L,          6L, 5L, 4L, 6L, 4L, 4L, 5L, 6L, 4L, 4L, 6L, 4L, 5L, 3L,          5L, 4L, 4L), DNeighbour = c(0, 9.13651213882681, 72.1117422578568,          84.0075118310819, 119.332575643302, 194.774949696764,          440.493162002981, 463.953708471261, 499.127991247535,          511.472198655355, 526.36732330384, 532.484025651019,          590.042595412108, 606.354620880168, 633.309084408134,          700.537416162561, 713.924336879046, 721.3842614511, 767.697688575124,          793.940626075112)), row.names = c("591", "494", "668",      "447", "560", "967", "627", "129", "513", "292", "866", "921",      "577", "364", "718", "755", "273", "317", "785", "975"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999735158488226, 0.983568741558714, 0.977733487919166,      0.955327690044167, 0.883251742960402, 0.479107797584881,      0.433640329275642, 0.36574906600326, 0.342202732041014, 0.314111569776434,      0.302699907057872, 0.200417486286974, 0.173655281869592,      0.132284658498024, 0.049040013193022, 0.0366378189234915,      0.0304235885987949, 0.0042270141551238, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       805446349 
R squared (OOB):                  0.09424082 

$Forests[[592]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 285000, 3e+05,      290000, 295000, 585000, 455000, 370000, 485000, 292000, 445000,      347000, 460000, 450000, 350000, 491000, 410000, 345000, 370000,      365000), floor_area_sqm = c(103, 92, 99, 92, 106, 91, 99,      90, 93, 104, 93, 90, 93, 93, 93, 92, 101, 114, 102, 104),          storey_order = c(2L, 1L, 1L, 4L, 1L, 10L, 2L, 3L, 10L,          2L, 7L, 2L, 7L, 4L, 3L, 9L, 3L, 2L, 3L, 2L), remaining_lease_mths = c(937,          697, 697, 690, 825, 995, 951, 977, 1112, 828, 1117, 971,          1135, 1131, 1018, 1137, 936, 839, 927, 828), PROX_CBD = c(14.5165027597446,          14.6519123293037, 14.8036441916204, 14.8961777358487,          14.7220636963442, 14.2059144167977, 14.3012013074868,          14.489397367385, 14.8542518275748, 15.1374510187917,          14.9897790388493, 14.6079806280174, 15.0332592042754,          15.1194109037639, 14.9930585550483, 15.0782917837809,          13.8911800577968, 15.4582319270764, 14.12564920201, 15.6198573118901         ), PROX_ELDERLYCARE = c(0.389463724969334, 0.254409923718011,          0.0965145667339982, 0.090689252710872, 0.327768156942021,          0.923774065318005, 0.93663965535868, 0.929205058584809,          0.671766786446111, 0.426629771798313, 0.622451014094897,          0.966138977916587, 0.653175957864657, 0.632846087105322,          0.766085625885291, 0.811417024562957, 1.40411939431899,          0.319622441582349, 1.44816412197145, 0.497975502399054         ), PROX_HAWKER = c(1.0617726338971, 1.21550185558774,          1.07372228066705, 1.02395142210687, 1.39864823048803,          0.829910539202106, 0.693090021451824, 0.478869651742105,          0.3485650804915, 1.49196951764411, 0.366862032582334,          0.31691894051251, 0.344843972730765, 0.399490681633122,          0.230353911902381, 0.241120378832392, 0.687446499339865,          1.7245004017694, 0.778468578249857, 1.6566914426712),          PROX_MRT = c(0.0901878473788138, 0.218405848235923, 0.363746184676816,          0.437229774651496, 0.0523025726452692, 0.127617925270923,          0.189883903502813, 0.0437298005890327, 0.41695674877223,          0.164193456307044, 0.550628186781769, 0.188565130994124,          0.587916938270161, 0.674936552563307, 0.545901722651448,          0.604690005035212, 0.241174931861397, 0.233994550027949,          0.476637705223286, 0.297714051615291), PROX_PARK = c(0.278686390612803,          0.325486875199719, 0.497172938499345, 0.600185611341118,          0.432331111477529, 0.716522496183652, 0.812876767906526,          0.935596264101672, 1.00246315577637, 0.786093050092807,          0.886983007034967, 1.07918529837209, 0.858154923175006,          0.773048101136696, 0.937160160632966, 0.889047622652367,          0.90249149706597, 0.998254167239372, 1.20701221478007,          0.782164021798725), PROX_GOOD_PRISCH = c(4.93093863547281,          4.99149337529414, 5.17691715074399, 5.28070608730985,          4.99661753747661, 4.85056771881294, 4.98177209241419,          5.1963266927986, 5.49301939379528, 5.37568176340172,          5.61521578968116, 5.35450137646782, 5.67093979106873,          5.74516136190441, 5.6774973866509, 5.77803713337603,          4.74545729482833, 5.64801716169655, 5.06260566207177,          5.84268664292306), PROX_MALL = c(0.38830118917563, 0.377416550632833,          0.278400001713995, 0.252669380741675, 0.343882807046916,          0.148456555084967, 0.236735170365795, 0.345992784345898,          0.497662931100388, 0.249545786638779, 0.615054651957031,          0.479398555662368, 0.671424081833306, 0.744876648240093,          0.691703794200818, 0.79347213158724, 0.267645090747045,          0.455554164929496, 0.287395381957405, 0.394873468760787         ), PROX_CHAS = c(0.0918929757518676, 0.0736014920224838,          0.190291087196022, 0.252669404800451, 0.141205029857343,          0.148456588323488, 0.214782230853987, 3.77135010377852e-08,          0.139715392485403, 0.193150290660334, 0.101756162724623,          0.166948923507452, 0.0438337826764906, 0.0812821875339188,          0.094086780959658, 0.128222338920945, 0.241761013919413,          0.158017550603297, 0.182188888557241, 0.28481487293308         ), PROX_SUPERMARKET = c(0.354026220875794, 0.128878263549785,          0.190291125096353, 0.186322037460738, 0.141204847242777,          0.154204342539502, 0.172194506074768, 0.31785895032531,          0.118312809115248, 0.200567401454574, 0.215874380558773,          0.218811722485387, 0.238848984717478, 0.325050502595441,          0.189746195069109, 0.286089695736963, 0.315435463566428,          0.387973705585917, 0.277268812686258, 0.407244625741832         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 1L,          1L, 2L, 1L, 0L, 0L, 2L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 3L, 3L, 3L, 3L, 7L,          6L, 5L, 3L, 5L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 8L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 9L, 9L, 7L, 8L, 17L, 15L,          13L, 11L, 11L, 11L, 13L, 10L, 12L, 11L, 10L, 15L, 14L,          10L, 9L), WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 3L, 2L, 3L,          3L, 5L, 4L, 2L, 3L, 5L, 3L, 3L, 4L, 4L, 5L, 3L, 5L, 3L         ), DNeighbour = c(0, 234.120367271921, 292.37375367845,          374.226293606332, 434.159316029194, 595.319527884004,          647.926694789883, 720.305058542135, 727.270258048359,          764.176041669978, 802.553229120834, 839.635470358485,          856.142647288944, 903.324277988158, 919.603893598168,          1016.35929698989, 1072.35079744895, 1112.27415235182,          1179.61459509784, 1184.87471734678)), row.names = c("592",      "986", "995", "87", "786", "146", "717", "374", "159", "387",      "500", "385", "865", "299", "836", "568", "599", "383", "703",      "304"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.923440023610438,      0.881931297783208, 0.810445585046977, 0.74950213948904, 0.558848369160448,      0.491366546811511, 0.397451261377067, 0.388447560561386,      0.341113461307269, 0.292920974460386, 0.247850913430546,      0.228395644495556, 0.17537450290903, 0.158116893617615, 0.0698107004535485,      0.0327302917510551, 0.0141113496379264, 7.84831914853314e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3340008565 
R squared (OOB):                  0.5168032 

$Forests[[593]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(676000, 655000, 663000,      640000, 655000, 380000, 4e+05, 4e+05, 385000, 350888, 340000,      398000, 390000, 360000, 380000, 418000, 4e+05, 418000, 410000,      352000), floor_area_sqm = c(87, 87, 87, 87, 87, 93, 98, 104,      91, 93, 92, 92, 92, 83, 92, 92, 92, 91, 103, 84), storey_order = c(3L,      5L, 4L, 4L, 1L, 3L, 4L, 2L, 1L, 3L, 1L, 3L, 1L, 3L, 4L, 4L,      4L, 5L, 2L, 2L), remaining_lease_mths = c(1120, 1121, 1124,      1121, 1123, 724, 718, 751, 715, 712, 699, 714, 711, 803,      695, 691, 690, 774, 799, 800), PROX_CBD = c(9.49727834386093,      9.49727834386093, 9.49727834386093, 9.42381765287156, 9.39818328429371,      9.50206510185676, 9.5915755681771, 9.83498872427818, 8.8262745849674,      9.68679892421183, 9.97016469840266, 9.95525560808738, 9.71066487891121,      8.52567265657093, 9.61422948612377, 9.61422948612377, 9.59976569988281,      9.35032791665702, 8.31972436488376, 8.28689365911172), PROX_ELDERLYCARE = c(0.735218745429302,      0.735218745429302, 0.735218745429302, 0.750155484045513,      0.718190414835305, 0.619429799229152, 0.558000418748021,      0.611336059876525, 0.896855030989675, 0.35495808488012, 0.14040561650552,      0.150508443509651, 0.385358274245319, 1.23693676843424, 0.28812103687201,      0.28812103687201, 0.239547661796275, 0.227789996497476, 1.3912791419992,      1.3668692597991), PROX_HAWKER = c(0.639074974233661, 0.639074974233661,      0.639074974233661, 0.667492197519696, 0.640059738279374,      0.518318645141504, 0.434568479089541, 0.54583502916026, 0.311054993693233,      0.221606053969191, 0.15909114400288, 0.153089379504462, 0.39402887106119,      0.0724679807682574, 0.398658919868918, 0.398658919868918,      0.436761476721694, 0.508896406641727, 0.252588085280054,      0.269406334629514), PROX_MRT = c(0.499971219475903, 0.499971219475903,      0.499971219475903, 0.423547456258288, 0.401734036242065,      0.533910829474844, 0.656590823238566, 0.722241727367494,      0.17731989795878, 0.760373725070279, 0.494111782173202, 0.521845664201362,      0.746020760246364, 0.510058766918036, 0.667432439829923,      0.667432439829923, 0.619962862184004, 0.569946398217962,      0.44379796826936, 0.467794692056616), PROX_PARK = c(0.298527066745392,      0.298527066745392, 0.298527066745392, 0.258916726718906,      0.220484561261844, 0.26219477257436, 0.355705093322714, 0.296755194228525,      0.458605630557841, 0.664893225436512, 0.68588072489708, 0.730503149795042,      0.914740437498633, 0.557643312318536, 0.922231693079911,      0.922231693079911, 0.957886982704992, 0.726258134328713,      0.59965919275643, 0.570592214216024), PROX_GOOD_PRISCH = c(2.17599822879711,      2.17599822879711, 2.17599822879711, 2.24680049319454, 2.27458198186913,      2.18628235132699, 2.11809049366399, 1.88657748145099, 2.8424495793979,      2.17803171840573, 1.97396491196204, 2.01039924795066, 2.31351362539819,      3.13534109620979, 2.38715383730665, 2.38715383730665, 2.35345437748376,      2.41566392235711, 3.04207330950824, 2.99359805566516), PROX_MALL = c(1.45007786498113,      1.45007786498113, 1.45007786498113, 1.48330987402926, 1.45650167595406,      1.32833110917602, 1.22478662403239, 1.23747152538927, 1.64561868645684,      0.796976758090547, 0.802483711672914, 0.757457219803541,      0.505770857705003, 1.96281231550532, 0.43353114329251, 0.43353114329251,      0.387669919047214, 0.406203001531397, 2.10790194839897, 2.09618768409308     ), PROX_CHAS = c(0.101351467161616, 0.101351467161616, 0.101351467161616,      0.0719365450960561, 0.109789289200213, 0.219477506246216,      0.346218272658546, 0.352730820744124, 0.221229860630612,      0.0707228333244178, 0.187394625423847, 0.144412947448491,      0.255589678637005, 0.169369143123463, 0.28666502826278, 0.28666502826278,      0.263208245292117, 0.146235674893272, 0.261198443001062,      0.229330661012247), PROX_SUPERMARKET = c(0.0715849245259307,      0.0715849245259307, 0.0715849245259307, 0.100679215951394,      0.13637298984998, 0.191210069763785, 0.300584979098838, 0.324694852199881,      0.221249484047241, 0.128382981112681, 0.215556112381702,      0.204623167766534, 0.363062686357781, 0.169391527985645,      0.396736556610776, 0.396736556610776, 0.44091986097032, 0.347306649978202,      0.272257424647181, 0.266710264104055), WITHIN_350M_KINDERGARTEN = c(1L,      1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L,      2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 6L,      6L, 6L, 5L, 1L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 4L, 5L, 3L,      2L), WITHIN_350M_BUS = c(4L, 4L, 4L, 5L, 6L, 2L, 5L, 3L,      5L, 10L, 9L, 9L, 13L, 8L, 11L, 11L, 11L, 9L, 9L, 7L), WITHIN_1KM_PRISCH = c(1L,      1L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 4L, 4L, 4L, 4L, 2L, 4L, 4L,      3L, 3L, 1L, 1L), DNeighbour = c(0, 8.50427208053606, 11.8649799539773,      85.5854397258745, 103.923936384716, 123.071363326585, 241.816261130723,      417.673335344181, 677.029876772223, 684.869322161136, 884.363984044875,      906.011749976016, 975.153013201496, 1009.5365683538, 1016.72125195323,      1019.54242631986, 1061.02193476238, 1137.98552425398, 1216.46177726624,      1246.28863681907)), row.names = c("593", "731", "466", "9",      "657", "539", "746", "659", "814", "946", "211", "971", "776",      "404", "603", "499", "964", "37", "540", "266"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999906877011139, 0.999818737877519, 0.990590484786254,      0.986141654932992, 0.980591854846586, 0.926122736120633,      0.787985362298241, 0.496875208104621, 0.487231945087242,      0.246483066738106, 0.222329006808694, 0.150372507909273,      0.118228971787172, 0.111871313206855, 0.109410899082057,      0.0757412227440781, 0.0276388341337628, 0.00223656394128861,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3558178781 
R squared (OOB):                  0.7648082 

$Forests[[594]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 395000, 415000,      433000, 416000, 315000, 420000, 258000, 4e+05, 428000, 310000,      418000, 412000, 367000, 4e+05, 4e+05, 285000, 288000, 370000,      420000), floor_area_sqm = c(92, 92, 92, 92, 92, 84, 92, 84,      92, 92, 84, 92, 92, 92, 92, 92, 84, 84, 92, 92), storey_order = c(1L,      2L, 5L, 4L, 4L, 3L, 5L, 1L, 2L, 4L, 2L, 5L, 5L, 1L, 2L, 3L,      3L, 1L, 1L, 3L), remaining_lease_mths = c(1137, 1146, 1144,      1130, 1140, 804, 1143, 781, 1130, 1140, 811, 1138, 1144,      1137, 1137, 1143, 776, 770, 1146, 1144), PROX_CBD = c(16.0046521285213,      16.0046521285213, 15.9533618390172, 16.055983361932, 16.055983361932,      15.9050437012323, 16.1537572283104, 16.1631400386504, 16.1976566517324,      16.1831859860721, 15.7493840144196, 16.0903666266177, 16.0903666266177,      16.0903666266177, 16.0475930141239, 16.0475930141239, 16.2311391435218,      16.2681803933938, 15.87024444961, 15.9392575628934), PROX_ELDERLYCARE = c(0.20718686492254,      0.20718686492254, 0.251148223850536, 0.146417557277997, 0.146417557277997,      0.346730428331521, 0.0462823216560119, 0.194171564025932,      9.89208662673193e-07, 0.0701319802482612, 0.392042381698264,      0.179967723198436, 0.179967723198436, 0.179967723198436,      0.129564145964732, 0.129564145964732, 0.252142982647588,      0.20801878428071, 0.10693627682917, 0.0436662178849567),          PROX_HAWKER = c(0.855932206484513, 0.855932206484513,          0.802087399746937, 0.897672222950446, 0.897672222950446,          0.79668564149145, 0.986028325459381, 1.03995728027003,          1.03146250928298, 1.00994702859189, 0.617009737136425,          0.9143232220583, 0.9143232220583, 0.9143232220583, 0.872301448799324,          0.872301448799324, 1.12300848995143, 1.14155805943316,          0.694651515851724, 0.765854363537175), PROX_MRT = c(0.883219311345816,          0.883219311345816, 0.8851452059773, 0.936151237003446,          0.936151237003446, 0.750476153315833, 1.02112351286352,          0.842728374229233, 1.02706758196582, 1.08237519657155,          0.825478596695925, 1.13213387762555, 1.13213387762555,          1.13213387762555, 1.14436247830993, 1.14436247830993,          0.830985280221221, 0.896888955057001, 1.09555222562317,          1.14464062157712), PROX_PARK = c(0.619767633008914, 0.619767633008914,          0.589052524814441, 0.683762717294504, 0.683762717294504,          0.475878847958935, 0.793519520304926, 0.707513815343702,          0.822565203699192, 0.848434833813522, 0.423881452963658,          0.83568858459355, 0.83568858459355, 0.83568858459355,          0.824988291997923, 0.824988291997923, 0.723677668737743,          0.750067315759091, 0.707790886000148, 0.777956069134633         ), PROX_GOOD_PRISCH = c(6.57618460349959, 6.57618460349959,          6.52939634907869, 6.63421015362065, 6.63421015362065,          6.45664561130608, 6.74044920052795, 6.70927938580052,          6.78043949525415, 6.78038310261662, 6.32317863359129,          6.70919168347838, 6.70919168347838, 6.70919168347838,          6.67335529701902, 6.67335529701902, 6.76533990958697,          6.81173689796023, 6.49806658702102, 6.57394481891556),          PROX_MALL = c(0.110811660449771, 0.110811660449771, 0.161178852361569,          0.118546137622893, 0.118546137622893, 0.18299798168314,          0.180580587241737, 0.0870960802892481, 0.189710317758296,          0.241735562355662, 0.340817581482914, 0.311149009276151,          0.311149009276151, 0.311149009276151, 0.339403259296736,          0.339403259296736, 0.175221521556568, 0.188162247463955,          0.388975340293238, 0.391567182053879), PROX_CHAS = c(0.114687044901222,          0.114687044901222, 0.165813590617473, 0.110329053122027,          0.110329053122027, 0.190026772642962, 0.0922372285822684,          0.081875317774622, 0.0868060808909073, 0.148113838308576,          0.347229964463676, 0.215238065300109, 0.215238065300109,          0.215238065300109, 0.16574506375663, 0.16574506375663,          0.170601730776313, 0.160774225575301, 0.140210421841136,          0.0895372628546906), PROX_SUPERMARKET = c(0.112847248683738,          0.112847248683738, 0.162291812321236, 0.123371553336512,          0.123371553336512, 0.179336240856332, 0.186806037215644,          0.0873208554119548, 0.195853508350489, 0.247969406526707,          2.98731019421495e-07, 0.316789996913415, 0.316789996913415,          0.316789996913415, 0.344658205065017, 0.344658205065017,          0.137275095711229, 0.189660657064324, 0.287679129281494,          0.354688671920554), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 3L, 4L, 8L, 6L, 8L, 7L, 5L, 2L, 2L, 2L, 2L, 2L,          5L, 6L, 4L, 3L), WITHIN_350M_BUS = c(7L, 7L, 8L, 7L,          7L, 8L, 7L, 11L, 7L, 7L, 7L, 8L, 8L, 8L, 9L, 9L, 10L,          11L, 8L, 9L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 5L,          6L, 4L, 5L, 5L, 4L, 6L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 4L,          4L), DNeighbour = c(0, 2.53798891393376, 53.0300046173283,          67.5218657043652, 68.2847694839027, 141.07487010657,          173.298279748598, 192.317806570664, 213.744177808208,          230.172535760361, 250.057909032971, 253.74096009572,          258.366393468288, 258.540780376266, 271.225332331975,          271.734946129775, 283.684844096952, 284.57401523947,          284.739689123634, 298.54445343427)), row.names = c("594",      "408", "124", "741", "538", "59", "869", "872", "427", "661",      "956", "249", "919", "161", "440", "28", "945", "798", "582",      "517"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.9998554641005,      0.93789175066246, 0.90031068649751, 0.898106071141291, 0.603268815470616,      0.439630128595553, 0.342255316415956, 0.237567996959681,      0.164500046742349, 0.0890680175200329, 0.0770752377759553,      0.0630250575230746, 0.0625182776398677, 0.030499747891813,      0.0294250361429955, 0.00942251562281317, 0.00835406061864609,      0.00816173151031414, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1098746215 
R squared (OOB):                  0.6295775 

$Forests[[595]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 283000, 340000,      338000, 3e+05, 304500, 285000, 288000, 258000, 292000, 315000,      350000, 416000, 4e+05, 420000, 433000, 416000, 365000, 395000,      428000), floor_area_sqm = c(104, 84, 103, 93, 84, 104, 84,      84, 84, 84, 84, 91, 98, 92, 92, 92, 92, 92, 92, 92), storey_order = c(3L,      4L, 4L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 1L, 4L, 2L, 5L, 4L,      4L, 1L, 2L, 4L), remaining_lease_mths = c(788, 781, 784,      778, 766, 783, 776, 770, 781, 761, 783, 957, 779, 1130, 1143,      1130, 1140, 1137, 1146, 1140), PROX_CBD = c(16.4061281598547,      16.4061281598547, 16.4938482623735, 16.3741208173644, 16.3138748954346,      16.62872619839, 16.2311391435218, 16.2681803933938, 16.1631400386504,      16.3662877971208, 16.7380919986833, 16.4034806336055, 16.1674221276903,      16.1976566517324, 16.1537572283104, 16.055983361932, 16.055983361932,      16.0046521285213, 16.0046521285213, 16.1831859860721), PROX_ELDERLYCARE = c(0.45678545326778,      0.45678545326778, 0.54260343924556, 0.617661573186221, 0.259941730365991,      0.618318415391572, 0.252142982647588, 0.20801878428071, 0.194171564025932,      0.177020457931737, 0.827102139700697, 0.839978570407226,      0.762025473923165, 9.89208662673193e-07, 0.0462823216560119,      0.146417557277997, 0.146417557277997, 0.20718686492254, 0.20718686492254,      0.0701319802482612), PROX_HAWKER = c(1.27662029927611, 1.27662029927611,      1.26080574998962, 1.08852003222566, 1.19589315813724, 1.328000513126,      1.12300848995143, 1.14155805943316, 1.03995728027003, 1.20613696965479,      1.22509286076097, 0.889236545198411, 0.872582424517839, 1.03146250928298,      0.986028325459381, 0.897672222950446, 0.897672222950446,      0.855932206484513, 0.855932206484513, 1.00994702859189),          PROX_MRT = c(0.840195727203247, 0.840195727203247, 0.884131305433386,          0.70945464840636, 0.896077488488813, 1.00682967627403,          0.830985280221221, 0.896888955057001, 0.842728374229233,          1.07002489239586, 0.950017645146174, 0.660139833101166,          0.447065767326062, 1.02706758196582, 1.02112351286352,          0.936151237003446, 0.936151237003446, 0.883219311345816,          0.883219311345816, 1.08237519657155), PROX_PARK = c(0.499042267647801,          0.499042267647801, 0.418424058290637, 0.371358045807383,          0.695881850270676, 0.402413252549947, 0.723677668737743,          0.750067315759091, 0.707513815343702, 0.840406553837571,          0.234693283811741, 0.251028276822116, 0.490935310554108,          0.822565203699192, 0.793519520304926, 0.683762717294504,          0.683762717294504, 0.619767633008914, 0.619767633008914,          0.848434833813522), PROX_GOOD_PRISCH = c(6.91087941258894,          6.91087941258894, 6.98980449668537, 6.84990365493624,          6.84997592861041, 7.12509880547394, 6.76533990958697,          6.81173689796023, 6.70927938580052, 6.93507101526025,          7.2060126627476, 6.84769610957781, 6.62018800412964,          6.78043949525415, 6.74044920052795, 6.63421015362065,          6.63421015362065, 6.57618460349959, 6.57618460349959,          6.78038310261662), PROX_MALL = c(0.408074329267436, 0.408074329267436,          0.506769239398443, 0.523710338103731, 0.242195958154985,          0.615098633053939, 0.175221521556568, 0.188162247463955,          0.0870960802892481, 0.298590834338171, 0.804164390636077,          0.630333401213655, 0.402318259451987, 0.189710317758296,          0.180580587241737, 0.118546137622893, 0.118546137622893,          0.110811660449771, 0.110811660449771, 0.241735562355662         ), PROX_CHAS = c(0.178111672550416, 0.178111672550416,          0.128042490192306, 0.0863783451683255, 0.218904529587093,          0.218296317772089, 0.170601730776313, 0.160774225575301,          0.081875317774622, 0.209004221202181, 0.206110482646065,          0.142060383584178, 0.277543603442508, 0.0868060808909073,          0.0922372285822684, 0.110329053122027, 0.110329053122027,          0.114687044901222, 0.114687044901222, 0.148113838308576         ), PROX_SUPERMARKET = c(0.17811123384324, 0.17811123384324,          0.128042463684685, 0.0863776808909183, 0.204979568486045,          0.218296734885766, 0.137275095711229, 0.189660657064324,          0.0873208554119548, 0.303085580417471, 0.283037745664543,          0.142061131074292, 0.277543419111335, 0.195853508350489,          0.186806037215644, 0.123371553336512, 0.123371553336512,          0.112847248683738, 0.112847248683738, 0.247969406526707         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 0L, 0L,          0L, 0L, 0L, 0L, 1L, 2L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          5L, 6L, 6L, 8L, 3L, 3L, 3L, 8L, 8L, 3L, 3L, 3L, 3L, 7L         ), WITHIN_350M_BUS = c(8L, 8L, 6L, 4L, 8L, 6L, 10L, 11L,          11L, 5L, 5L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 5L, 4L, 5L, 5L, 5L, 4L, 4L, 4L, 5L, 5L, 4L,          5L, 5L, 5L, 5L, 4L), DNeighbour = c(0, 6.99087027749068,          102.224648570918, 187.70822317813, 196.443464387516,          231.074659784628, 231.545716865997, 254.231541492216,          323.051617498854, 353.31734727465, 396.502957501134,          409.869606411934, 429.712985006123, 455.846840287454,          487.695689374554, 504.242598934279, 508.875200670952,          513.735252483127, 514.578594634661, 526.781923087496)), row.names = c("595",      "49", "150", "788", "848", "26", "945", "798", "872", "687",      "896", "206", "351", "427", "869", "741", "538", "594", "408",      "661"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999647797438023,      0.926103414268734, 0.762179466055684, 0.741211499008135,      0.652190675048426, 0.650922898690215, 0.588419663676802,      0.389274140605342, 0.302664486253788, 0.187886941606267,      0.155723147211322, 0.111944414252909, 0.0630924876781223,      0.0204178086921484, 0.00701287850145516, 0.00446622648649325,      0.00239317495118568, 0.00209717833624978, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3448997085 
R squared (OOB):                  -0.0482077 

$Forests[[596]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(575000, 430000, 416000,      310000, 720000, 685000, 390000, 550000, 715000, 680000, 340000,      662000, 675000, 710000, 363000, 358000, 380000, 4e+05, 710000,      672000), floor_area_sqm = c(101, 92, 91, 83.1, 93, 93, 84,      102, 95, 95, 84, 95, 95, 93, 84, 84, 89, 104, 101, 85), storey_order = c(6L,      2L, 4L, 3L, 3L, 2L, 1L, 3L, 6L, 4L, 1L, 3L, 2L, 6L, 4L, 3L,      5L, 2L, 2L, 5L), remaining_lease_mths = c(932, 687, 713,      613, 1143, 1142, 783, 761, 1099, 1084, 780, 1093, 1093, 1084,      780, 770, 653, 783, 933, 1042), PROX_CBD = c(5.56255806753875,      5.17330173892321, 5.10609859014938, 5.99387263807515, 6.10189119169168,      6.19231755176043, 4.91139217141794, 6.04257091454572, 6.06656257116635,      6.04001281876484, 6.73119135364588, 6.11286474740545, 6.15852201326599,      6.17931132662417, 6.82164733234375, 6.82164733234375, 4.19301197437796,      6.8579883001408, 4.27954241101507, 6.58265946872266), PROX_ELDERLYCARE = c(0.0599829320550621,      0.151830290872251, 0.320090253923576, 0.103488744511564,      0.230112759455232, 0.355678840187058, 0.53976690699019, 0.548656319889636,      0.516985202466339, 0.545921172841312, 0.709869492714774,      0.471592353212743, 0.428116600598184, 0.411122241220865,      0.729511559050305, 0.729511559050305, 1.05465194719342, 0.650979480304367,      1.2084977158608, 0.129826558983194), PROX_HAWKER = c(0.248163252655802,      0.261285820740611, 0.333568708255903, 0.131941483902414,      0.193610514045812, 0.287310245845902, 0.526793317066312,      0.19523132016882, 0.0900485470251793, 0.0606577495598573,      0.84617550022745, 0.0855319563513606, 0.104458461300263,      0.114709112077857, 0.834207881424508, 0.834207881424508,      0.297392426102438, 0.732876252375814, 0.32780610994166, 0.37361464573735     ), PROX_MRT = c(0.389634730949481, 0.568944969773001, 0.549226257235714,      0.422927302226303, 0.385901790532203, 0.3593423355956, 0.348715950460643,      0.448203274012385, 0.530436532640755, 0.53617676606472, 0.447149108468339,      0.576684647572531, 0.567634817298681, 0.54480998513683, 0.401668294921849,      0.401668294921849, 0.670866804568908, 0.479854345281657,      0.45128979061194, 0.288098631383321), PROX_PARK = c(0.136342453682232,      0.375618223612072, 0.534309547143458, 0.775542593632535,      0.835974869985028, 0.861129399478803, 0.454973393404149,      0.651264615899835, 0.548254609843109, 0.524571131123829,      1.30601230217613, 0.517760851715104, 0.487498062645995, 0.461766774013401,      1.33915084667526, 1.33915084667526, 1.34668044149268, 1.26891760289394,      0.496161896442625, 0.734858817801552), PROX_GOOD_PRISCH = c(3.30515733544794,      3.5160560831601, 3.68539306501406, 3.79476022833587, 3.72727940395598,      3.647323571983, 3.07957394860643, 2.14268529299874, 2.03651743937875,      2.00925132829891, 2.67147237000904, 2.00772186702724, 1.97696478280336,      1.95037752635058, 2.67483404440455, 2.67483404440455, 4.04417128338034,      2.57894825178105, 3.1984009939005, 2.10026546945211), PROX_MALL = c(0.719385659919303,      0.96360119165526, 1.13513631747826, 1.29238059557114, 1.26544404340832,      1.22999734499907, 0.779372162435287, 0.264532440460292, 0.365617038961166,      0.387042201482337, 0.894914409230097, 0.403935094648282,      0.446404896609829, 0.476611693189829, 0.977306285381771,      0.977306285381771, 1.51326780463499, 0.985446043286547, 1.15459749844864,      0.712222885156031), PROX_CHAS = c(0.174009235365936, 0.213267381067323,      0.37199840586913, 3.57955945681819e-08, 0.131092152612185,      0.255647811562625, 0.297280152993809, 0.12619956254809, 0.0929349198733403,      0.134421273847083, 0.468632365618207, 0.0679258481743644,      0.0766942583569258, 0.10259225576309, 0.389404577789016,      0.389404577789016, 0.212246176955017, 0.418063314797021,      0.151798893835737, 0.19769969897302), PROX_SUPERMARKET = c(0.173881454941229,      0.266791583668656, 0.424647979009491, 0.147638600898363,      0.0250108723026275, 0.108411284353298, 0.212061147632098,      0.178930757423705, 0.0785030623714358, 0.0393286469640316,      0.541263540151477, 0.0895469396191502, 0.11965836137487,      0.134806953278168, 0.457775852816324, 0.457775852816324,      0.306178228663922, 0.471666412940503, 0.314587216673928,      0.255985378039003), WITHIN_350M_KINDERGARTEN = c(1L, 2L,      0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L,      0L, 3L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 2L, 2L,      2L, 2L, 4L, 3L, 4L, 2L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 2L, 0L     ), WITHIN_350M_BUS = c(2L, 4L, 4L, 6L, 9L, 10L, 7L, 7L, 8L,      8L, 4L, 6L, 6L, 6L, 4L, 4L, 5L, 3L, 2L, 2L), WITHIN_1KM_PRISCH = c(3L,      3L, 3L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L,      1L, 2L, 2L, 2L), DNeighbour = c(0, 409.737676205727, 538.815599361142,      665.970240956477, 694.026144427818, 729.961366163025, 793.481680591524,      1187.43838086276, 1293.72575079814, 1303.23000881142, 1311.17407410326,      1324.74163941876, 1366.30709588193, 1399.30183839194, 1400.43213917285,      1401.15127652829, 1410.40265167924, 1471.52801870792, 1495.8796339677,      1503.92037219347)), row.names = c("596", "270", "853", "752",      "812", "305", "251", "453", "297", "930", "529", "536", "23",      "756", "322", "46", "993", "168", "767", "388"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.857055581970527, 0.759755811434032, 0.646268010500232,      0.619428921204804, 0.584328276121082, 0.520748289032341,      0.141821416971382, 0.0675973058035439, 0.0620418910412961,      0.0575517669647372, 0.0502152545002991, 0.030496776195814,      0.0180334344033631, 0.01765961487975, 0.0174236603444729,      0.0145199068450553, 0.00181589394467134, 0.000113730534674306,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11614485207 
R squared (OOB):                  0.5261053 

$Forests[[597]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 399000, 395000,      420000, 385000, 355000, 380000, 350000, 410000, 440000, 420000,      415000, 411000, 418000, 423000, 425000, 425000, 415000, 422500,      485000), floor_area_sqm = c(103, 102, 103, 103, 102, 84,      105, 84, 84, 104, 105, 103, 104, 84, 104, 104, 104, 108,      104, 104), storey_order = c(1L, 3L, 4L, 2L, 3L, 3L, 1L, 2L,      4L, 3L, 2L, 2L, 1L, 3L, 2L, 4L, 3L, 3L, 3L, 3L), remaining_lease_mths = c(757,      766, 772, 757, 755, 804, 775, 806, 814, 752, 787, 768, 806,      821, 827, 775, 747, 904, 765, 823), PROX_CBD = c(13.0970803497533,      13.0078000734933, 13.1724132817366, 13.2614515751509, 13.2614515751509,      13.01786092695, 12.8173662852819, 13.3385512116162, 12.8927390133383,      13.1913836000948, 12.7549887608908, 13.0537205387581, 13.1755942624772,      13.3325431063631, 13.4971436153267, 13.5598735525989, 12.4246534304877,      13.7944980809676, 13.4875816574924, 12.533007335037), PROX_ELDERLYCARE = c(0.830352740740998,      0.748101088186933, 0.906244923447749, 0.99636081833896, 0.99636081833896,      0.807586217367385, 0.548539301056628, 1.09997831443452, 0.702153634905252,      0.779182108791446, 0.556485595404089, 0.569472877275307,      1.08363260419178, 1.22529955141455, 1.36472832701396, 0.555470204987842,      0.223353489993969, 0.91518434198946, 0.428841001075194, 0.635175801858358     ), PROX_HAWKER = c(0.973651338137405, 0.90031621758677, 1.03184370064912,      1.14030290242306, 1.14030290242306, 0.976719939584195, 0.687183343617196,      1.2578245237404, 0.876276656944215, 1.05769292681279, 0.627642822312809,      0.963287544217337, 1.26154745049637, 1.40113048988486, 1.53740682378418,      1.44869421276883, 0.283538945902673, 1.66782294138278, 1.41347495302278,      0.80610763907972), PROX_MRT = c(0.602819058882962, 0.513893198964272,      0.712767869041386, 0.667490524156887, 0.667490524156887,      0.343251427728879, 0.607087114668938, 0.602718547061467,      0.279401054335897, 0.577154139562059, 0.561554903993597,      0.551410176707671, 0.324849533681113, 0.481797794839233,      0.586728597341744, 0.172867375742438, 0.694199692700576,      0.658832763416297, 0.229256973107587, 0.317839503016409),          PROX_PARK = c(0.879464356596765, 0.842333894517479, 0.94305137750942,          0.758867978246924, 0.758867978246924, 0.656436399769765,          0.953457314885518, 0.569772965965399, 0.620470631841848,          1.12092772213378, 1.16122098497616, 0.974634241933185,          0.447685878226129, 0.354623255285983, 0.212766960501703,          1.16233583500127, 1.19561442246869, 0.645156432286565,          1.00267286051928, 0.503650356541676), PROX_GOOD_PRISCH = c(1.76550469910092,          1.72660166123773, 1.76071721252525, 1.91909050044553,          1.91909050044553, 1.85318585541752, 1.5016146113424,          2.07907555576542, 1.774803188623, 1.6842887316892, 1.29435567579286,          1.48818847749708, 2.16883728054707, 2.29474127216967,          2.41235725048041, 1.97663004084467, 1.09898709469432,          2.39271928635374, 1.87202126825599, 1.74800143577954),          PROX_MALL = c(0.655283448157635, 0.5620231960968, 0.808064657998832,          0.72813233212774, 0.72813233212774, 0.400117032043626,          0.635314033644823, 0.668924040978838, 0.322264379768498,          0.813382909306435, 0.542723135774117, 0.593340478429386,          0.386525633611572, 0.542371475290289, 0.707673546664446,          1.05810160080284, 0.626909601034773, 1.14990641994387,          0.948424723316687, 0.260189306400009), PROX_CHAS = c(0.10733838099953,          1.4078617678234e-08, 0.253073540027742, 0.255705601713763,          0.255705601713763, 0.191102980152323, 0.149554006756045,          0.191227179226131, 0.241407331054591, 0.19044114280624,          0.144180959238343, 0.203693673714882, 0.194419509978617,          0.059226360432522, 0.13417187150752, 0.180657994610612,          0.221655673315632, 0.17469359838053, 0.231037598077535,          0.227429082883153), PROX_SUPERMARKET = c(0.176189281490626,          0.0851968725918189, 0.263318229535236, 0.336474046543398,          0.336474046543398, 0.230446816430876, 0.14719471752053,          0.444314653432489, 0.234452518543083, 0.190441743522314,          0.150188458093997, 0.349948262987797, 0.386520309138909,          0.542367678587035, 0.707669264145537, 0.180658044884504,          0.209750471448386, 0.357404112790227, 0.231037826802092,          0.260187243864149), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 1L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 2L, 2L, 1L, 0L, 0L,          2L, 2L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(1L, 2L,          3L, 2L, 2L, 2L, 2L, 3L, 4L, 4L, 3L, 2L, 5L, 6L, 5L, 3L,          5L, 3L, 2L, 3L), WITHIN_350M_BUS = c(4L, 6L, 6L, 6L,          6L, 5L, 5L, 5L, 4L, 8L, 7L, 8L, 12L, 10L, 7L, 11L, 4L,          7L, 10L, 7L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L,          4L, 5L, 5L, 4L, 5L, 5L, 6L, 4L, 4L, 4L, 6L, 5L, 4L, 5L,          3L), DNeighbour = c(0, 104.126003026134, 154.038007508604,          172.554186589011, 174.387972037524, 261.783621192451,          277.124911472538, 324.051749700144, 336.748521756798,          354.927451978882, 476.712975979949, 520.605555397734,          558.694213018077, 614.258037377691, 689.313994444682,          694.736570305755, 706.999370710905, 708.92030753798,          760.102947894776, 775.398888029803)), row.names = c("597",      "103", "225", "753", "473", "789", "523", "618", "493", "229",      "215", "541", "131", "565", "353", "564", "186", "542", "663",      "758"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.964259183755587,      0.922628650628786, 0.903407891329863, 0.901397477938788,      0.785028677198981, 0.760850912390964, 0.681196114462495,      0.65835631636621, 0.624856075727053, 0.386914533864643, 0.301639633351347,      0.231210813772397, 0.138715758375893, 0.0439803013720561,      0.038900519661247, 0.028440365335942, 0.0269350252615231,      0.00152599227472422, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1145010100 
R squared (OOB):                  -0.2052646 

$Forests[[598]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 376888, 438000,      390000, 420000, 360000, 412000, 447000, 380000, 422800, 435000,      435000, 429000, 440000, 410000, 417000, 435000, 548000, 550000,      575000), floor_area_sqm = c(104, 104, 104, 104, 104, 84,      103, 107, 104, 104, 100, 99, 104, 100, 100, 99, 103, 93,      93, 93), storey_order = c(2L, 3L, 2L, 1L, 2L, 2L, 4L, 3L,      1L, 4L, 4L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 3L, 5L), remaining_lease_mths = c(819,      810, 812, 809, 922, 762, 918, 782, 924, 813, 924, 928, 822,      911, 915, 914, 819, 1135, 1137, 1133), PROX_CBD = c(11.547248638023,      11.622690560426, 11.7215458353159, 11.7882471009294, 11.8892341343185,      11.4815172953657, 11.9871965659798, 11.7840832214562, 12.0301392517655,      11.1672746170477, 12.114386347938, 12.2106818490232, 11.1191912667925,      12.2087069526051, 12.2087069526051, 12.2815153207229, 11.381621166991,      11.1809634086998, 11.2116042179965, 12.4342034244884), PROX_ELDERLYCARE = c(0.246353759583753,      0.175524774720266, 0.240093333498969, 0.114277277444971,      0.110349805405523, 0.182032582488253, 0.210296865683283,      0.481333190444255, 0.255083942589415, 0.14075304944647, 0.421163091926404,      0.442541563379791, 0.213121327483379, 0.434858408662556,      0.434858408662556, 0.513657423159811, 0.382123855460196,      0.333450295290741, 0.369355324070756, 0.678867196986192),          PROX_HAWKER = c(0.837769476188058, 0.783966268147895,          0.609281739536534, 0.647051853283446, 0.684056106771311,          0.728271246274353, 0.625285574708341, 0.436117874461739,          0.598391326300702, 1.04840790050398, 0.885134801830427,          0.524204307723605, 1.08329799955244, 0.692592935098248,          0.692592935098248, 0.52278816815954, 0.863892291353285,          1.04207495818587, 1.02311573056961, 0.504612881494125         ), PROX_MRT = c(1.16228231940478, 1.15515804744233, 0.989064774064853,          1.00317447086964, 1.00424261648768, 0.756359380624344,          0.923336133969517, 0.81394482428473, 0.885297742933312,          0.893429463565323, 1.10882075300419, 0.743103019894999,          0.776456939054752, 0.89623888155871, 0.89623888155871,          0.703998835661039, 0.424871345706255, 0.580267989687754,          0.524888394814585, 0.586933783104383), PROX_PARK = c(1.4881280763212,          1.41684131410086, 1.28416187507733, 1.24877122811849,          1.19263079577799, 1.50398184725757, 1.09395352284574,          1.20101103678102, 1.04875150887626, 1.25063890429238,          1.14970360230785, 0.863487882808023, 1.13833451608328,          0.954913184146477, 0.954913184146477, 0.796788171077343,          1.31830174708739, 1.13378306757762, 1.15338615463339,          0.628391467794767), PROX_GOOD_PRISCH = c(0.735233663606362,          0.733057242670121, 0.585140695782779, 0.713901761199557,          0.842915880539328, 0.365254403810308, 0.855677549512306,          0.357669915539773, 0.860616187528585, 0.623353133039123,          1.17061030478036, 0.91368762909787, 0.586469336292635,          1.04944877580977, 1.04944877580977, 0.952579960345566,          0.288839241027683, 0.485317217067727, 0.456074275886943,          1.01367306567257), PROX_MALL = c(0.918014501744059, 0.868993594299523,          0.690287469384684, 0.741052769880115, 0.787722851944232,          0.763531318053358, 0.732793638615111, 0.489619370966043,          0.707201836140707, 1.08293003315278, 0.995792127022496,          0.634332011832188, 1.10160019948421, 0.802829369116586,          0.802829369116586, 0.630705874818675, 0.849953313581112,          1.03968747299659, 1.01522535242687, 0.600548053404267         ), PROX_CHAS = c(0.157099147473317, 0.151742844958785,          0.164718468919614, 0.0554870656895364, 0.124859952031804,          0.0516610437101642, 0.171681037809818, 0.0667093090499658,          0.202915262499126, 0.151540147087551, 0.138740180982893,          0.140964983635816, 0.143881852296294, 0.0852358826892552,          0.0852358826892552, 0.0753088652692227, 0.115324197479935,          0.216965800691496, 0.206252010873132, 0.134041173915956         ), PROX_SUPERMARKET = c(0.157098334004615, 0.151741730066283,          0.169255457402684, 0.0453848138423891, 0.114394571204967,          0.19171128272723, 0.172282484091702, 0.379080894647373,          0.20670525505664, 0.299482732316256, 0.459680111992834,          0.377835654599335, 0.246182427713253, 0.414959148864982,          0.414959148864982, 0.448534184110051, 0.186698572696543,          0.212835414763751, 0.222574928361305, 0.543693418915242         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 3L, 2L, 0L,          2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 0L, 0L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(7L, 7L, 6L, 8L, 8L, 5L,          5L, 3L, 5L, 6L, 1L, 5L, 5L, 5L, 5L, 6L, 4L, 3L, 4L, 4L         ), WITHIN_350M_BUS = c(11L, 8L, 10L, 9L, 9L, 14L, 6L,          7L, 7L, 14L, 8L, 11L, 9L, 11L, 11L, 12L, 10L, 7L, 6L,          12L), WITHIN_1KM_PRISCH = c(2L, 2L, 3L, 3L, 2L, 3L, 2L,          4L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 3L, 2L, 2L, 1L),          DNeighbour = c(0, 74.6063805667282, 227.035717736104,          243.444669991575, 346.083552137122, 413.938559466769,          437.040639079815, 457.502195584292, 484.85443028969,          508.843848428209, 651.7576593719, 659.275708493004, 662.185783246044,          679.408088759256, 679.637210957485, 735.64878138217,          788.896187655204, 791.848583562219, 827.080942265797,          894.118543715956)), row.names = c("598", "750", "625",      "508", "148", "213", "689", "340", "727", "528", "707", "42",      "845", "410", "680", "362", "744", "178", "347", "310"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.986123586886826, 0.875205131639243, 0.857230093204608,      0.722804904789576, 0.617278434744736, 0.579241983540014,      0.544915637811476, 0.498354553570477, 0.457143576634834,      0.219631219111149, 0.208227271875838, 0.203860382840556,      0.178597005037144, 0.178267942990828, 0.104367100393458,      0.0490694816478227, 0.0465172433566142, 0.020831423178637,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3327690213 
R squared (OOB):                  -0.02625833 

$Forests[[599]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 370000, 585000,      455000, 295000, 334008, 358000, 358000, 342000, 338000, 370000,      347000, 335000, 345000, 340000, 443000, 447888, 462000, 3e+05,      442500), floor_area_sqm = c(101, 102, 91, 99, 84, 103, 104,      103, 106, 104, 90, 90, 102, 90, 103, 93, 93, 93, 84, 92),          storey_order = c(3L, 3L, 10L, 2L, 4L, 2L, 4L, 4L, 3L,          2L, 3L, 2L, 4L, 5L, 3L, 5L, 5L, 5L, 2L, 6L), remaining_lease_mths = c(936,          927, 995, 951, 804, 917, 815, 815, 822, 818, 977, 971,          940, 937, 819, 1134, 1137, 1134, 796, 1138), PROX_CBD = c(13.8911800577968,          14.12564920201, 14.2059144167977, 14.3012013074868, 13.4836212956012,          14.2719972222741, 14.0960645211931, 13.3358607953132,          13.4005544783984, 13.540845499052, 14.489397367385, 14.6079806280174,          14.4474740114555, 14.2787185061121, 13.4421606987754,          14.1475961545785, 14.1475961545785, 14.1475961545785,          13.0363382428153, 14.4158973706441), PROX_ELDERLYCARE = c(1.40411939431899,          1.44816412197145, 0.923774065318005, 0.93663965535868,          1.90290557072286, 1.50921581969441, 1.70531999087377,          1.82755511634294, 1.97051284494128, 2.00347240504871,          0.929205058584809, 0.966138977916587, 1.50338082315219,          1.77826193055387, 2.21821379350418, 2.03155968851809,          2.03155968851809, 2.03155968851809, 2.32849407054544,          1.86115765343828), PROX_HAWKER = c(0.687446499339865,          0.778468578249857, 0.829910539202106, 0.693090021451824,          0.2119534509789, 0.684102697062058, 0.845358517598031,          0.304539750383927, 0.12929497730436, 0.326481146247567,          0.478869651742105, 0.31691894051251, 0.588144724666333,          0.865181709866835, 0.414492581023045, 1.0452124348096,          1.0452124348096, 1.0452124348096, 0.273412421583494,          0.900970586039013), PROX_MRT = c(0.241174931861397, 0.476637705223286,          0.127617925270923, 0.189883903502813, 0.193711088781655,          0.347262283963267, 0.217341234217998, 0.127895121346052,          0.190014195795526, 0.080163548628182, 0.0437298005890327,          0.188565130994124, 0.224566301285939, 0.14195902454703,          0.190553770403229, 0.206896355650083, 0.206896355650083,          0.206896355650083, 0.403045881609603, 0.0830542408041225         ), PROX_PARK = c(0.90249149706597, 1.20701221478007,          0.716522496183652, 0.812876767906526, 0.646728518696572,          1.38760566459916, 1.27300714898888, 0.385477438930733,          0.588173355458052, 0.80961064190221, 0.935596264101672,          1.07918529837209, 1.55939681176166, 1.51686048726609,          0.89429546385096, 1.52292224478236, 1.52292224478236,          1.52292224478236, 0.517161111062201, 1.70853765465547         ), PROX_GOOD_PRISCH = c(4.74545729482833, 5.06260566207177,          4.85056771881294, 4.98177209241419, 4.5626858677187,          5.26118802945754, 5.17863906457975, 4.27184313218833,          4.50146177611143, 4.71745369301481, 5.1963266927986,          5.35450137646782, 5.45861643017911, 5.42826997650874,          4.75420572996722, 5.43570837857945, 5.43570837857945,          5.43570837857945, 4.29037325314161, 5.62289607338158),          PROX_MALL = c(0.267645090747045, 0.287395381957405, 0.148456555084967,          0.236735170365795, 0.551151307820263, 0.108121271181015,          0.243284841315127, 0.761223886000054, 0.610989928852924,          0.403528889272069, 0.345992784345898, 0.479398555662368,          0.12145856762689, 0.338911837083335, 0.472918799427377,          0.329425359540921, 0.329425359540921, 0.329425359540921,          0.898390579507312, 0.475045953779526), PROX_CHAS = c(0.241761013919413,          0.182188888557241, 0.148456588323488, 0.214782230853987,          0.229483689413426, 0.108121286081234, 0.132339190026647,          0.267020330020893, 0.158416400393545, 0.253510567884045,          3.77135010377852e-08, 0.166948923507452, 0.121458549123021,          0.18872293939054, 0.291197842200049, 0.188783823394846,          0.188783823394846, 0.188783823394846, 0.170237474205233,          0.0420419616737589), PROX_SUPERMARKET = c(0.315435463566428,          0.277268812686258, 0.154204342539502, 0.172194506074768,          0.191700628396676, 0.105248463653719, 0.226949559622758,          0.442772380644983, 0.139889213791387, 0.1865280595431,          0.31785895032531, 0.218811722485387, 0.134916350552101,          0.188722783027928, 0.249308161339926, 0.235757849482592,          0.235757849482592, 0.235757849482592, 0.322492439389486,          0.0420421510628514), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 1L,          2L, 2L, 2L, 2L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          7L, 6L, 5L, 4L, 7L, 2L, 4L, 5L, 5L, 2L, 5L, 6L, 2L, 6L,          6L, 6L, 3L, 5L), WITHIN_350M_BUS = c(15L, 10L, 17L, 15L,          12L, 10L, 9L, 9L, 10L, 11L, 13L, 13L, 11L, 8L, 6L, 6L,          6L, 6L, 4L, 7L), WITHIN_1KM_PRISCH = c(5L, 5L, 3L, 3L,          4L, 5L, 5L, 3L, 4L, 4L, 5L, 5L, 5L, 4L, 4L, 4L, 4L, 4L,          3L, 4L), DNeighbour = c(0, 327.734937843532, 481.4255716234,          488.969874372983, 502.056203408202, 531.166456957869,          545.586809814281, 553.63665111289, 581.785636331635,          601.72946498169, 623.049471989905, 720.518827738973,          731.379493317127, 780.478260754312, 819.391326915313,          927.717875902261, 928.687041898939, 929.147994976398,          960.714420839606, 986.599115435296)), row.names = c("599",      "703", "146", "717", "681", "381", "880", "475", "859", "617",      "374", "385", "826", "329", "123", "966", "623", "207", "62",      "33"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.79148087413697,      0.580477014588591, 0.569072941450333, 0.549148636956685,      0.504306827801066, 0.481905037089043, 0.469366419349453,      0.425453661195964, 0.394407482169567, 0.36143208635956, 0.217765747426008,      0.202908733224561, 0.140020658428945, 0.0962456287876325,      0.0134096891051718, 0.0129850217926514, 0.0127852868858605,      0.00268160600230774, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3413949669 
R squared (OOB):                  0.3063585 

$Forests[[600]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 370000, 380000,      416000, 380000, 360000, 380000, 336000, 320000, 340000, 325000,      326000, 308000, 348000, 335000, 362000, 303888, 338000, 355000,      315000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 93, 90,      91, 90, 90, 101, 90, 95, 90, 94, 90, 94, 94, 87), storey_order = c(4L,      1L, 2L, 6L, 2L, 2L, 2L, 2L, 1L, 4L, 4L, 1L, 2L, 1L, 5L, 4L,      5L, 2L, 4L, 5L), remaining_lease_mths = c(1142, 1125, 1134,      1132, 1136, 1135, 1132, 966, 980, 1011, 973, 942, 948, 968,      998, 976, 1008, 1076, 1070, 1004), PROX_CBD = c(18.1918996486136,      18.2305685201872, 18.2143914696608, 18.2305685201872, 18.1376577985599,      18.1376577985599, 18.1279148711176, 18.263890012402, 18.4122801485573,      18.5954829873069, 18.5353901232527, 17.6460086713989, 17.5548574672099,      18.0323194354466, 18.976831626196, 18.3273029006797, 19.0279685600245,      18.893500205596, 18.9417612550563, 18.9558501171738), PROX_ELDERLYCARE = c(2.49884668013329,      2.5602844754638, 2.48612553786713, 2.5602844754638, 2.49441526227585,      2.49441526227585, 2.51087611030153, 2.93603771613334, 3.05606256580079,      3.21245115339435, 3.18651864771223, 2.69583292953839, 2.64072586785555,      2.88259030935981, 3.28231449363414, 2.7120525382807, 3.26154359027314,      3.10102691254995, 3.09832013994742, 3.04148171914245), PROX_HAWKER = c(0.600683099416637,      0.555435817196439, 0.65924673205969, 0.555435817196439, 0.528296501129656,      0.528296501129656, 0.487567663506197, 0.135415800319106,      0.284310921582288, 0.468862715548992, 0.491879726860981,      0.543702723258422, 0.624754154933827, 0.459055170630849,      0.923592674397851, 0.729165861663657, 0.990561993667382,      0.926259022488312, 0.981837341088666, 1.03425383708264),          PROX_MRT = c(0.859544339931905, 0.810957189319413, 0.88189566435518,          0.810957189319413, 0.789676869843372, 0.789676869843372,          0.74928998522808, 0.269488316579814, 0.34633408104891,          0.485913485771313, 0.375479822529604, 0.514213843772978,          0.605396305517498, 0.228324090957444, 0.822784932057268,          0.470919202147399, 0.880588410111357, 0.777214903782309,          0.831940647091921, 0.87145727172961), PROX_PARK = c(0.210024151789668,          0.269300347674678, 0.161329073171627, 0.269300347674678,          0.276326305891841, 0.276326305891841, 0.317511189836545,          0.826451671225411, 0.872887750975024, 0.966363588730214,          1.15334089580929, 0.873328686748902, 0.801838254358626,          1.25712692932115, 1.4431849310919, 1.51959638840156,          1.5140651316136, 1.53153013283021, 1.58031197441792,          1.64892029001525), PROX_GOOD_PRISCH = c(8.56698720173726,          8.60245346442475, 8.59299650088468, 8.60245346442475,          8.50873818737911, 8.50873818737911, 8.49670627721454,          8.61262144573917, 8.76068312560123, 8.94334048589707,          8.87993213136606, 7.99076792195858, 7.89964805631792,          8.37645219680457, 9.32093903042593, 8.6741083827629,          9.37202430611723, 9.23793284137011, 9.2863930262578,          9.30119351841798), PROX_MALL = c(0.849415447505653, 0.89702383385846,          0.861156548991099, 0.89702383385846, 0.814982856398022,          0.814982856398022, 0.819155488013484, 0.374925429890344,          0.458641270318743, 0.594166870248601, 0.460655941356388,          0.441435937338541, 0.456293365362214, 0.12060760008054,          0.897736377807805, 0.437943127987326, 0.951179576311185,          0.833273819621717, 0.886414086630636, 0.918650450187965         ), PROX_CHAS = c(0.110754204684376, 0.080524556228062,          0.170239874320939, 0.080524556228062, 0.0547102897319272,          0.0547102897319272, 0.0462043949149095, 0.0541347282504724,          0.182706372800723, 0.186588167457245, 0.165734202429707,          0.441435968696221, 0.456293399812874, 0.120607657412939,          0.237819060284531, 0.319053536773146, 0.184556275618948,          0.143741090403558, 0.0880613138842689, 0.067384164825537         ), PROX_SUPERMARKET = c(0.565642852259794, 0.512175097136782,          0.532940464268134, 0.512175097136782, 0.504768063926141,          0.504768063926141, 0.467157902200199, 0.0541355525390397,          0.182706945219403, 0.195869762300225, 0.167679568764744,          0.446325988440648, 0.425112192123464, 0.119017844673248,          0.322795161753339, 0.198027823348086, 0.3125742651816,          0.218188374485768, 0.175726554209016, 0.102761308178796         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 2L, 2L, 2L, 1L, 1L, 2L, 3L, 0L, 2L, 2L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 3L, 3L, 2L, 2L,          3L, 5L, 7L, 4L, 7L, 2L, 2L, 4L, 4L, 6L, 2L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(6L, 7L, 6L, 7L, 10L, 10L, 10L,          11L, 12L, 10L, 12L, 11L, 8L, 14L, 9L, 12L, 6L, 8L, 8L,          8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          4L, 5L, 5L, 5L, 3L, 2L, 4L, 4L, 5L, 4L, 4L, 4L, 4L),          DNeighbour = c(0, 60.9871870926231, 62.6233540128087,          65.348913238255, 83.5071778343575, 83.6696034243402,          121.401000849242, 611.871189718772, 659.236830246647,          762.304929702632, 946.9762354428, 992.620377197232, 1046.38372112551,          1053.75938512699, 1256.84875803393, 1306.35524406534,          1328.17184474899, 1330.87310018866, 1379.00403971932,          1443.80152984731)), row.names = c("600", "770", "790",      "401", "285", "378", "461", "548", "722", "901", "838", "456",      "514", "354", "915", "873", "570", "745", "932", "52"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.996434630192594, 0.99624094277179, 0.995906953684158, 0.993320628685937,      0.993294663747223, 0.985909657565441, 0.673057054494817,      0.626501226793637, 0.520176021890562, 0.324680213457664,      0.278084575029569, 0.225386537241698, 0.218386234344258,      0.0586638453215893, 0.0328814476362573, 0.0236421410553518,      0.022594394847225, 0.00769924800330556, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       522390850 
R squared (OOB):                  0.3780577 

$Forests[[601]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 395000, 645000,      357000, 312000, 420000, 428000, 365000, 460000, 330000, 306000,      320000, 312000, 320000, 350000, 465000, 455000, 345888, 342000,      418000), floor_area_sqm = c(94, 107, 91, 104, 104, 104, 98,      105, 105, 107, 109, 104, 107, 104, 106, 106, 106, 104, 94,      112), storey_order = c(1L, 2L, 8L, 3L, 2L, 4L, 3L, 2L, 4L,      3L, 1L, 2L, 1L, 2L, 2L, 2L, 4L, 4L, 1L, 5L), remaining_lease_mths = c(1071,      755, 1124, 844, 828, 774, 730, 771, 770, 776, 773, 779, 779,      772, 781, 933, 933, 763, 747, 904), PROX_CBD = c(15.3735649652411,      15.936744569076, 14.8760787686193, 15.1925589930818, 15.1925589930818,      15.0460728336845, 14.0949321583848, 14.8222691165004, 15.1689870500438,      16.4773488158513, 16.2343575305192, 16.6890813896757, 16.6890813896757,      16.0390890659677, 15.2518600651656, 17.1401277939721, 17.1634204962367,      16.5598581376431, 13.7770670669378, 17.2048826778539), PROX_ELDERLYCARE = c(0.0572763643156628,      0.526555480516014, 0.68142631506584, 0.485996598795361, 0.485996598795361,      0.0734543941007858, 1.07365166923746, 0.151522520392741,      0.235447740717014, 0.393080972860029, 0.63095091801206, 0.296144426041885,      0.296144426041885, 0.520751571920202, 0.341160576506438,      0.586863575497558, 0.565792923614884, 0.633922933695123,      0.919307603677702, 0.400468425457175), PROX_HAWKER = c(0.371848396937832,      0.44834457013621, 0.74974565017819, 0.787542750423298, 0.787542750423298,      0.321243604465073, 0.516176882783883, 0.189112683951821,      0.493984449855749, 0.170796598263111, 0.355821892612055,      0.360513691606501, 0.360513691606501, 0.601123999453785,      0.711147803357143, 0.685044657792881, 0.666841975849823,      0.402483389428837, 0.478671478091809, 0.498365875295267),          PROX_MRT = c(0.753708157385654, 0.239432195714991, 1.79130926962811,          1.85503706760258, 1.85503706760258, 0.667161579318597,          0.499812381699912, 0.506610369321483, 0.840089990200814,          0.826410504821953, 0.864165890870668, 0.937471590679814,          0.937471590679814, 0.965829261077996, 1.05589835680014,          0.418422993771755, 0.463116738810145, 1.05011238745279,          0.771349314593772, 0.87869292375624), PROX_PARK = c(0.535685352466539,          0.747611444367071, 1.13853863936216, 1.41855585272788,          1.41855585272788, 1.32178658469093, 0.62523741493865,          1.20591145519053, 1.48925201971724, 1.2054653508424,          1.34373269803231, 1.20981147430356, 1.20981147430356,          1.48305338833506, 1.72109509304533, 0.454841043819919,          0.505224516024672, 1.45762221914422, 0.941140572803456,          0.9054780070858), PROX_GOOD_PRISCH = c(4.72825571795328,          5.39194564581962, 4.21930918110887, 4.5504124031687,          4.5504124031687, 4.66454637236311, 3.57828936266804,          4.44405903659268, 4.81784539373378, 5.97835326648125,          5.7932792467937, 6.16175607197734, 6.16175607197734,          5.64743379607767, 4.96507368960908, 6.48254224033906,          6.50789265243056, 6.10793998843997, 3.3146343023011,          6.57740517739392), PROX_MALL = c(0.408391974099547, 0.942416713928675,          0.829646558484038, 0.816582289717011, 0.816582289717011,          1.83033637772351, 0.812049880186, 1.74752862756084, 1.93173107331603,          0.76724723438711, 1.10378372306907, 0.571849863617429,          0.571849863617429, 1.36185056241102, 2.06076738363197,          0.306862579253759, 0.353588302636786, 0.973625110866692,          0.672803550263317, 0.446026044391999), PROX_CHAS = c(0.289984207596008,          0.145251548786172, 0.426635940266524, 0.0584110846116202,          0.0584110846116202, 0.0544168696099871, 0.135156069731972,          0.191193294854487, 0.22714457633909, 0.09463300161804,          0.289709096170644, 0.332465298200207, 0.332465298200207,          0.205355834952608, 0.453299264887269, 0.133156315003352,          0.171584438209325, 0.306725496117186, 0.0886717393158711,          0.130380344727655), PROX_SUPERMARKET = c(0.406388098650168,          0.434198104817495, 0.341487242626205, 0.515584409426496,          0.515584409426496, 0.286721618184596, 0.352618767904154,          0.188017328828043, 0.459690883388295, 0.108262733037825,          0.132128014198024, 0.204374831829505, 0.204374831829505,          0.352842931529878, 0.644027759940317, 0.27639551573194,          0.320581809168482, 0.252218317780421, 0.334979160094168,          0.445962312606475), WITHIN_350M_KINDERGARTEN = c(2L,          0L, 2L, 0L, 0L, 1L, 0L, 1L, 2L, 3L, 0L, 3L, 3L, 1L, 0L,          1L, 1L, 2L, 1L, 3L), WITHIN_350M_CHILDCARE = c(4L, 2L,          6L, 4L, 4L, 1L, 1L, 2L, 1L, 6L, 8L, 3L, 3L, 6L, 0L, 3L,          4L, 5L, 3L, 2L), WITHIN_350M_BUS = c(12L, 7L, 10L, 11L,          11L, 5L, 9L, 6L, 4L, 9L, 9L, 9L, 9L, 7L, 6L, 7L, 8L,          5L, 10L, 8L), WITHIN_1KM_PRISCH = c(1L, 4L, 0L, 0L, 0L,          1L, 2L, 2L, 2L, 3L, 2L, 4L, 4L, 2L, 1L, 4L, 4L, 2L, 2L,          3L), DNeighbour = c(0, 985.076542627629, 1038.83343569424,          1146.17997311173, 1147.30671119502, 1418.32309926314,          1455.93576999356, 1457.14697747717, 1520.67864930501,          1574.87211984505, 1601.72107015546, 1646.8984632664,          1650.67677362417, 1661.94109397964, 1738.37911306664,          1773.65681380843, 1785.95187059371, 1804.23571122734,          1810.38669553207, 1852.91951542601)), row.names = c("601",      "423", "312", "104", "589", "256", "25", "64", "739", "107",      "468", "328", "497", "751", "109", "530", "991", "883", "337",      "889"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.514611700568499,      0.470150400661905, 0.38113102741264, 0.380202256915921, 0.171463454735009,      0.146377651466151, 0.145592339944176, 0.106577758541594,      0.0770619989998053, 0.0638871352121523, 0.0441050070115739,      0.0425939368150072, 0.0382259766499324, 0.0143547034952972,      0.00700979254450031, 0.00503775730412139, 0.00268924011400789,      0.00205953215527186, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11781481112 
R squared (OOB):                  -0.8074176 

$Forests[[602]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 420000, 375000,      340000, 4e+05, 4e+05, 385000, 390000, 368888, 350000, 350000,      377000, 331000, 310000, 4e+05, 370000, 390000, 380000, 390000,      412000), floor_area_sqm = c(104, 92, 92, 92, 92, 92, 92,      93, 92, 92, 92, 92, 107, 104, 96, 92, 92, 93, 92, 92), storey_order = c(3L,      4L, 1L, 2L, 3L, 4L, 3L, 3L, 2L, 1L, 1L, 2L, 2L, 3L, 2L, 1L,      4L, 3L, 2L, 3L), remaining_lease_mths = c(812, 1133, 1139,      1133, 1136, 1142, 1132, 1113, 1102, 1131, 1111, 1135, 869,      869, 1098, 1090, 1142, 1110, 1128, 1128), PROX_CBD = c(14.8739209120931,      14.7615340778399, 14.8395197777251, 14.8395197777251, 14.7935232496013,      14.8350589102573, 14.9536689261967, 14.6879879340018, 14.8482953663728,      14.6346875310408, 14.8482953663728, 14.5662038835035, 15.2221855529023,      15.2437764157418, 15.0414874321427, 15.0414874321427, 14.5596883563906,      14.607628567626, 14.5136499050456, 14.5596883563906), PROX_ELDERLYCARE = c(0.224374856243457,      0.301679225956583, 0.143171284390361, 0.143171284390361,      0.348662381557687, 0.366071958673004, 1.13414610370389e-06,      0.267910637295867, 0.157028625587627, 0.318998242024868,      0.157028625587627, 0.396119369193007, 0.277621781700774,      0.313986883487753, 0.180026828914976, 0.180026828914976,      0.399519357429504, 0.363539264939185, 0.440212280139716,      0.399519357429504), PROX_HAWKER = c(0.490895901627697, 0.582527401679673,      0.426817039061835, 0.426817039061835, 0.61938764744993, 0.625406547060166,      0.283688306330561, 0.507741768149319, 0.332945546865787,      0.567748890704442, 0.332945546865787, 0.661743266121302,      0.252887916114098, 0.306302732963744, 0.135868389364205,      0.135868389364205, 0.625641729464286, 0.571839614015762,      0.681591249319273, 0.625641729464286), PROX_MRT = c(1.67344316225132,      1.75082728996661, 1.58589972239689, 1.58589972239689, 1.80023823132094,      1.81204065654847, 1.45204946878565, 1.51619569366002, 1.41585626072206,      1.53691575721219, 1.41585626072206, 1.61118001364451, 1.3991563615676,      1.43926724244883, 1.27219969611937, 1.27219969611937, 1.46473462254762,      1.42703012637354, 1.51230084146916, 1.46473462254762), PROX_PARK = c(0.671840643384197,      0.739209778966795, 0.573834160005083, 0.573834160005083,      0.794674698621811, 0.813480610745631, 0.447466290733612,      0.573128508978659, 0.40224168015695, 0.633519966923, 0.40224168015695,      0.741043428920938, 0.500874596291267, 0.554495921895103,      0.270313948020077, 0.270313948020077, 0.656743209310805,      0.592644125813336, 0.723946747094916, 0.656743209310805),          PROX_GOOD_PRISCH = c(5.63420261242257, 5.53447364393692,          5.56483468018996, 5.56483468018996, 5.58881641790013,          5.6396253746677, 5.64958645026222, 5.38500296681299,          5.51627049340211, 5.34297669438126, 5.51627049340211,          5.30307595814772, 5.9271396376627, 5.96162295702861,          5.69200203864946, 5.69200203864946, 5.25302892838613,          5.28617698570013, 5.22451833965112, 5.25302892838613),          PROX_MALL = c(0.927972955155417, 0.897398400321744, 0.805396060532061,          0.805396060532061, 0.980189305249844, 1.03026167893405,          0.806257336881612, 0.626246838364162, 0.649229394533883,          0.633302242537752, 0.649229394533883, 0.69438942428714,          1.02106462402642, 1.03199787585398, 0.767711199656331,          0.767711199656331, 0.550646738699849, 0.523782484457491,          0.591658790399046, 0.550646738699849), PROX_CHAS = c(0.25243947150411,          0.166975848000366, 0.204546662914522, 0.204546662914522,          0.244316778428722, 0.298721071991625, 0.14456617920399,          0.160113448728027, 0.274130336331615, 0.120955806912261,          0.274130336331615, 0.0799578054615725, 0.0544459444778504,          4.60754704120663e-08, 0.163757574589084, 0.163757574589084,          0.19650938121062, 0.198893245072118, 0.179710137259641,          0.19650938121062), PROX_SUPERMARKET = c(0.298947211163532,          0.408349928269047, 0.280088374069707, 0.280088374069707,          0.416104879739584, 0.402632437071234, 0.16127040484797,          0.300165340388346, 0.296829834724774, 0.327836032489634,          0.296829834724774, 0.41943325951703, 0.0768892314501321,          0.0947293086454089, 0.197268674737732, 0.197268674737732,          0.27843134046436, 0.223766299699327, 0.343491998264143,          0.27843134046436), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L,          0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L, 5L,          5L, 2L, 2L, 7L, 6L, 5L, 6L, 5L, 3L, 5L, 4L, 4L, 4L, 3L,          4L, 4L, 3L), WITHIN_350M_BUS = c(6L, 4L, 5L, 5L, 6L,          6L, 6L, 7L, 9L, 8L, 9L, 6L, 8L, 8L, 9L, 9L, 7L, 7L, 6L,          7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L, 3L,          4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L),          DNeighbour = c(0, 114.26117700333, 126.552626202953,          126.599354868082, 134.350453765465, 139.293127622483,          223.877608368518, 306.812490307226, 321.343835691277,          324.229129940941, 324.665298281892, 332.979330882394,          373.35800539552, 381.80746329372, 403.085762129409, 407.896665532761,          416.85757467138, 418.090659646768, 419.580679793678,          420.318615106526)), row.names = c("602", "620", "152",      "543", "478", "27", "139", "469", "195", "583", "762", "368",      "679", "578", "632", "793", "163", "452", "706", "961"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.857662565416565, 0.826910867711821, 0.826789094766029,      0.806099708894847, 0.792411116902961, 0.513081260869467,      0.218247632994592, 0.17264228317194, 0.163991878358624, 0.162696930716658,      0.138687821166672, 0.0445082102181667, 0.0305734036522219,      0.00645098764923882, 0.00339118516605297, 0.000268987800888999,      0.000111791982696138, 1.23076892401068e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       846359930 
R squared (OOB):                  -0.0448764 

$Forests[[603]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 418000, 4e+05,      390000, 418000, 350888, 398000, 340000, 4e+05, 4e+05, 735000,      380000, 350000, 660000, 680000, 390000, 465000, 676000, 663000,      655000), floor_area_sqm = c(92, 92, 92, 92, 91, 93, 92, 92,      98, 104, 97, 93, 91, 87, 87, 92, 104, 87, 87, 87), storey_order = c(4L,      4L, 4L, 1L, 5L, 3L, 3L, 1L, 4L, 2L, 6L, 3L, 4L, 3L, 6L, 1L,      3L, 3L, 4L, 5L), remaining_lease_mths = c(695, 691, 690,      711, 774, 712, 714, 699, 718, 751, 1066, 724, 741, 1066,      1076, 685, 760, 1120, 1124, 1121), PROX_CBD = c(9.61422948612377,      9.61422948612377, 9.59976569988281, 9.71066487891121, 9.35032791665702,      9.68679892421183, 9.95525560808738, 9.97016469840266, 9.5915755681771,      9.83498872427818, 9.96973817000633, 9.50206510185676, 8.70456515841861,      10.1126951054664, 10.1126951054664, 10.3184291669162, 8.64488888098128,      9.49727834386093, 9.49727834386093, 9.49727834386093), PROX_ELDERLYCARE = c(0.28812103687201,      0.28812103687201, 0.239547661796275, 0.385358274245319, 0.227789996497476,      0.35495808488012, 0.150508443509651, 0.14040561650552, 0.558000418748021,      0.611336059876525, 0.560133969723593, 0.619429799229152,      0.1203423949077, 0.511544492658224, 0.511544492658224, 0.724299376510179,      0.17844978767297, 0.735218745429302, 0.735218745429302, 0.735218745429302     ), PROX_HAWKER = c(0.398658919868918, 0.398658919868918,      0.436761476721694, 0.39402887106119, 0.508896406641727, 0.221606053969191,      0.153089379504462, 0.15909114400288, 0.434568479089541, 0.54583502916026,      0.246219700947935, 0.518318645141504, 0.867862446497739,      0.268370020499938, 0.268370020499938, 0.285348407142059,      0.917919654697093, 0.639074974233661, 0.639074974233661,      0.639074974233661), PROX_MRT = c(0.667432439829923, 0.667432439829923,      0.619962862184004, 0.746020760246364, 0.569946398217962,      0.760373725070279, 0.521845664201362, 0.494111782173202,      0.656590823238566, 0.722241727367494, 0.405168801785449,      0.533910829474844, 0.97670571404933, 0.549740095282867, 0.549740095282867,      0.752281430413819, 0.91698472228942, 0.499971219475903, 0.499971219475903,      0.499971219475903), PROX_PARK = c(0.922231693079911, 0.922231693079911,      0.957886982704992, 0.914740437498633, 0.726258134328713,      0.664893225436512, 0.730503149795042, 0.68588072489708, 0.355705093322714,      0.296755194228525, 0.868342722448078, 0.26219477257436, 0.288616932786395,      0.878497256111703, 0.878497256111703, 1.05219739289641, 0.238119977580318,      0.298527066745392, 0.298527066745392, 0.298527066745392),          PROX_GOOD_PRISCH = c(2.38715383730665, 2.38715383730665,          2.35345437748376, 2.31351362539819, 2.41566392235711,          2.17803171840573, 2.01039924795066, 1.97396491196204,          2.11809049366399, 1.88657748145099, 1.55873028154778,          2.18628235132699, 2.418607930925, 1.46177539101005, 1.46177539101005,          1.54472866778257, 2.37381492496372, 2.17599822879711,          2.17599822879711, 2.17599822879711), PROX_MALL = c(0.43353114329251,          0.43353114329251, 0.387669919047214, 0.505770857705003,          0.406203001531397, 0.796976758090547, 0.757457219803541,          0.802483711672914, 1.22478662403239, 1.23747152538927,          0.129560175686973, 1.32833110917602, 0.948870628363287,          0.269774803261538, 0.269774803261538, 0.472532088410597,          1.00281364182829, 1.45007786498113, 1.45007786498113,          1.45007786498113), PROX_CHAS = c(0.28666502826278, 0.28666502826278,          0.263208245292117, 0.255589678637005, 0.146235674893272,          0.0707228333244178, 0.144412947448491, 0.187394625423847,          0.346218272658546, 0.352730820744124, 0.0647243745052949,          0.219477506246216, 0.27140983829104, 0.20472250196774,          0.20472250196774, 0.165961529218061, 0.256340531367836,          0.101351467161616, 0.101351467161616, 0.101351467161616         ), PROX_SUPERMARKET = c(0.396736556610776, 0.396736556610776,          0.44091986097032, 0.363062686357781, 0.347306649978202,          0.128382981112681, 0.204623167766534, 0.215556112381702,          0.300584979098838, 0.324694852199881, 0.241122798862169,          0.191210069763785, 0.221415122113844, 0.35798039621586,          0.35798039621586, 0.447507928623339, 0.24778575064029,          0.0715849245259307, 0.0715849245259307, 0.0715849245259307         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 1L, 1L, 2L,          2L, 2L, 2L, 1L, 0L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 2L, 5L, 3L,          3L, 3L, 5L, 1L, 6L, 6L, 4L, 6L, 6L, 4L, 4L, 6L, 6L, 6L         ), WITHIN_350M_BUS = c(11L, 11L, 11L, 13L, 9L, 10L, 9L,          9L, 5L, 3L, 7L, 2L, 9L, 6L, 6L, 7L, 8L, 4L, 4L, 4L),          WITHIN_1KM_PRISCH = c(4L, 4L, 3L, 4L, 3L, 4L, 4L, 4L,          2L, 3L, 2L, 1L, 2L, 3L, 3L, 5L, 2L, 1L, 1L, 1L), DNeighbour = c(0,          5.51697976272919, 49.6596420222695, 111.75688778001,          288.471189909357, 365.773335237356, 417.318651747001,          451.063203487401, 787.473055842811, 810.57431541303,          834.712455167153, 893.875133974373, 910.790182918417,          930.121834483275, 931.125746702968, 933.054157283146,          974.083446315922, 1016.72125195323, 1017.39033994347,          1020.31246472728)), row.names = c("603", "499", "964",      "776", "37", "946", "971", "211", "746", "659", "471", "539",      "71", "506", "316", "97", "487", "593", "466", "731"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999941526371521, 0.995267876370472, 0.976149406463428,      0.846519086687002, 0.759484104217917, 0.69340644094802, 0.647320442169702,      0.163483532862812, 0.13606457571864, 0.109376171019108, 0.0540489006649187,      0.0412746040999903, 0.0285530644466391, 0.0279497035346384,      0.0268070068440221, 0.00784367020906492, 4.93794149582634e-05,      3.27149629468812e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       19435007985 
R squared (OOB):                  -0.0171717 

$Forests[[604]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(359900, 355000, 370000,      245000, 3e+05, 270000, 279000, 255000, 250000, 305000, 316000,      318000, 375000, 265000, 298000, 303888, 275000, 297000, 325000,      330000), floor_area_sqm = c(93, 93, 93, 88, 96, 97, 91, 91,      97, 91, 92, 91, 92, 91, 93, 93, 98, 91, 91, 103), storey_order = c(3L,      3L, 5L, 2L, 4L, 2L, 2L, 4L, 4L, 4L, 3L, 1L, 4L, 2L, 1L, 2L,      4L, 3L, 4L, 2L), remaining_lease_mths = c(1117, 1111, 1106,      668, 791, 687, 801, 686, 708, 791, 781, 765, 783, 724, 777,      782, 689, 788, 780, 773), PROX_CBD = c(18.8127816342995,      18.8127816342995, 18.8127816342995, 18.8842060529579, 18.5761736305699,      19.1998859465191, 18.2989051402725, 19.1428796063974, 19.2477081153014,      18.2610111258248, 18.2234963781047, 18.2234963781047, 18.1857629477019,      19.4237844042343, 18.5252470382495, 18.5252470382495, 19.3611499271018,      18.1476771148045, 18.1476771148045, 18.4499801912104), PROX_ELDERLYCARE = c(0.176499517448139,      0.176499517448139, 0.176499517448139, 0.229103995883471,      0.0638277150498875, 0.482976337773198, 0.397078044127006,      0.457204003422965, 0.533620939869422, 0.421521882373529,      0.448333702611612, 0.448333702611612, 0.47723779098819, 0.695760303539868,      0.449194476018676, 0.449194476018676, 0.67405856369397, 0.519546459890619,      0.519546459890619, 0.504778052376495), PROX_HAWKER = c(0.325560722493799,      0.325560722493799, 0.325560722493799, 0.280513302960552,      0.562029876499453, 0.407382567332432, 0.491047773869601,      0.491246203286744, 0.435575948420033, 0.453171307776496,      0.416527045274471, 0.416527045274471, 0.380157991945912,      0.430278742731878, 0.69553534809229, 0.69553534809229, 0.578426076793613,      0.209390724873544, 0.209390724873544, 0.652207052169444),          PROX_MRT = c(1.04083770509984, 1.04083770509984, 1.04083770509984,          1.03601464731326, 0.874368880716004, 1.13705578024219,          0.552168886353884, 1.0490560030484, 1.17336842789895,          0.547550551918807, 0.545975779093886, 0.545975779093886,          0.548087095608087, 1.37619150821735, 0.398456142880405,          0.398456142880405, 1.24242318119045, 0.491311596778589,          0.491311596778589, 0.322534237265928), PROX_PARK = c(0.51923222906617,          0.51923222906617, 0.51923222906617, 0.579556587207627,          0.287868908027907, 0.708199402424467, 0.287159802467115,          0.602588748705797, 0.715290586226954, 0.272660801967067,          0.264257474455249, 0.264257474455249, 0.261695126667213,          0.899998771522662, 0.491317901173298, 0.491317901173298,          0.694921724836528, 0.270911567278729, 0.270911567278729,          0.536975621309476), PROX_GOOD_PRISCH = c(9.7422556358987,          9.7422556358987, 9.7422556358987, 9.83133063879426, 9.51590189269927,          10.205087741046, 9.19982386356694, 10.1724586401982,          10.2559210914134, 9.16752282736586, 9.1355701416359,          9.1355701416359, 9.10363750169146, 10.4013344251086,          9.63394268044443, 9.63394268044443, 10.393420977377,          9.18618174729203, 9.18618174729203, 9.56762880935522),          PROX_MALL = c(0.856774663098642, 0.856774663098642, 0.856774663098642,          0.91348864249693, 0.624506085881379, 1.23204265332191,          0.486326630506135, 1.19002137667581, 1.28177138580973,          0.448092738738542, 0.411037179701155, 0.411037179701155,          0.374195605351922, 1.44800971701603, 0.705200807731176,          0.705200807731176, 1.41164243574585, 0.218975149940797,          0.218975149940797, 0.662291407978718), PROX_CHAS = c(0.2593611752042,          0.2593611752042, 0.2593611752042, 0.241229981070425,          0.0792988689034794, 0.377747950290313, 0.0660681856594747,          0.472048134528426, 0.34509608786971, 0.0964740211655948,          0.132763801624598, 0.132763801624598, 0.172021358032342,          0.141128343720225, 0.240425442805127, 0.240425442805127,          0.346579909600863, 0.218975205360203, 0.218975205360203,          0.201478871858691), PROX_SUPERMARKET = c(0.856773769273042,          0.856773769273042, 0.856773769273042, 0.911876453557648,          0.625539331690589, 1.12464344461301, 0.490326509583637,          1.03656246660954, 1.16090501353567, 0.457654559995222,          0.421116980529575, 0.421116980529575, 0.38486207983901,          1.36375821567757, 0.386130046709882, 0.386130046709882,          1.22987785443232, 0.206881250620068, 0.206881250620068,          0.310351384739933), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 2L, 0L, 2L, 2L, 0L, 0L, 0L, 0L, 1L, 0L,          0L, 2L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 0L, 1L, 1L,          2L, 3L, 3L, 2L), WITHIN_350M_BUS = c(16L, 16L, 16L, 13L,          10L, 10L, 6L, 6L, 9L, 6L, 6L, 6L, 4L, 6L, 8L, 8L, 8L,          7L, 7L, 9L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 2L,          1L, 4L, 1L, 0L, 4L, 4L, 4L, 4L, 0L, 2L, 2L, 0L, 3L, 3L,          2L), DNeighbour = c(0, 3.46818879020779, 8.61861880559929,          108.030177810677, 237.360396302277, 526.056747382962,          545.999418431623, 552.121292885131, 565.867257596445,          577.689438179091, 607.490999589025, 609.974629800979,          645.87149438583, 669.705340036055, 704.821772034099,          709.069861065286, 728.879962073551, 744.59463490932,          749.951527472359, 760.019346519408)), row.names = c("604",      "418", "637", "96", "78", "193", "433", "484", "981", "905",      "202", "47", "733", "2", "11", "106", "972", "827", "944",      "810"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999958353199819,      0.999742825371674, 0.959999880087351, 0.814440346744437,      0.271348618998888, 0.234157822828347, 0.223029869359788,      0.198608719190333, 0.178295505429357, 0.130395852615905,      0.126642694165708, 0.0771862783177971, 0.0499708180948712,      0.0195939701829938, 0.0167910305277747, 0.00644246567054624,      0.00161430540947382, 0.000692642845701428, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       837367546 
R squared (OOB):                  0.4627887 

$Forests[[605]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(565000, 508000, 530000,      588000, 568000, 350000, 550000, 613000, 310000, 415000, 310000,      323000, 370000, 315000, 370000, 415000, 320000, 365000, 395000,      315000), floor_area_sqm = c(92, 92, 92, 92, 92, 108, 92,      92, 84, 93, 105, 104, 104, 84, 92, 92, 105, 92, 92, 104),          storey_order = c(5L, 1L, 2L, 2L, 4L, 1L, 2L, 4L, 2L,          4L, 3L, 2L, 4L, 3L, 1L, 5L, 3L, 1L, 2L, 1L), remaining_lease_mths = c(1117,          1121, 1108, 1119, 1117, 809, 1124, 1119, 811, 1141, 827,          806, 805, 804, 1146, 1144, 815, 1137, 1146, 807), PROX_CBD = c(15.5121102277751,          15.4653265021947, 15.4274201584828, 15.4444506298565,          15.3987887594526, 15.5495667695359, 15.4589251607201,          15.4589251607201, 15.7493840144196, 15.719551353229,          15.6029325535915, 15.5926635355646, 15.7683454047388,          15.9050437012323, 15.87024444961, 15.9533618390172, 15.4421704385289,          16.0046521285213, 16.0046521285213, 15.3877172812078),          PROX_ELDERLYCARE = c(0.536539272984936, 0.595913887497293,          0.637452860447804, 0.64097589351183, 0.578356799737993,          0.619297318170404, 0.68815946921851, 0.68815946921851,          0.392042381698264, 0.251997184681221, 0.338118814836049,          0.348154483747206, 0.584689505447093, 0.346730428331521,          0.10693627682917, 0.251148223850536, 0.497101135842809,          0.20718686492254, 0.20718686492254, 0.4433955665635),          PROX_HAWKER = c(0.396815374523363, 0.380307090885425,          0.365463704587155, 0.396657168515828, 0.294909248784724,          0.5213921544653, 0.469966667540803, 0.469966667540803,          0.617009737136425, 0.543607139892928, 0.432858942767381,          0.438799857473275, 0.791474322012874, 0.79668564149145,          0.694651515851724, 0.802087399746937, 0.380223054122965,          0.855932206484513, 0.855932206484513, 0.342886316384117         ), PROX_MRT = c(0.8698145169005, 0.848209897671344, 0.843485398790606,          0.812282865657068, 0.921278705332003, 0.711232187253978,          0.729135125223405, 0.729135125223405, 0.825478596695925,          1.04322565796881, 1.13678031777592, 1.20427337027458,          0.523772975672589, 0.750476153315833, 1.09555222562317,          0.8851452059773, 1.36083949137777, 0.883219311345816,          0.883219311345816, 1.37085724211185), PROX_PARK = c(0.357009242210065,          0.321827820326955, 0.308677700833154, 0.279663832574521,          0.283836897691409, 0.20876400491182, 0.194645215248471,          0.194645215248471, 0.423881452963658, 0.60075194434184,          0.578149656320062, 0.608584573014238, 0.270342199592644,          0.475878847958935, 0.707790886000148, 0.589052524814441,          0.607675278354181, 0.619767633008914, 0.619767633008914,          0.57859629393417), PROX_GOOD_PRISCH = c(6.0946998605156,          6.04109347904609, 6.00000717285666, 6.01089245018733,          5.98797030068414, 6.09891773314498, 6.00758296280353,          6.00758296280353, 6.32317863359129, 6.34176102939636,          6.24898658848638, 6.25532900137267, 6.2828979894293,          6.45664561130608, 6.49806658702102, 6.52939634907869,          6.14472917023144, 6.57618460349959, 6.57618460349959,          6.09187968106835), PROX_MALL = c(0.577683661914992, 0.62067023459119,          0.657665812567692, 0.640411632029909, 0.692287086677849,          0.541358966367059, 0.632880647427991, 0.632880647427991,          0.340817581482914, 0.460595397283409, 0.60644342729779,          0.657431321444681, 0.400271919676516, 0.18299798168314,          0.388975340293238, 0.161178852361569, 0.860369947035052,          0.110811660449771, 0.110811660449771, 0.900250825960545         ), PROX_CHAS = c(0.14804241676277, 0.114224376246159,          0.0964991818226865, 0.128062594375949, 0.0335692412129841,          0.252209440491103, 0.206736748098593, 0.206736748098593,          0.347229964463676, 0.269388612247007, 0.336408570757183,          0.337342861051532, 0.406778788965278, 0.190026772642962,          0.140210421841136, 0.165813590617473, 0.200516789487464,          0.114687044901222, 0.114687044901222, 0.147116034863504         ), PROX_SUPERMARKET = c(0.237787830949247, 0.284849629955282,          0.324468805261885, 0.312290330939399, 0.352133387221186,          0.243797536441002, 0.327859325274294, 0.327859325274294,          2.98731019421495e-07, 0.219989756424723, 0.338214025323699,          0.403551045123396, 0.30290594542381, 0.179336240856332,          0.287679129281494, 0.162291812321236, 0.291068212048821,          0.112847248683738, 0.112847248683738, 0.236697160290918         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 2L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 1L, 2L, 1L, 1L, 1L,          2L, 2L, 5L, 5L, 4L, 4L, 5L, 4L, 4L, 3L, 6L, 3L, 3L, 4L         ), WITHIN_350M_BUS = c(6L, 7L, 7L, 7L, 6L, 6L, 7L, 7L,          7L, 5L, 6L, 6L, 8L, 8L, 8L, 8L, 9L, 7L, 7L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 5L, 4L, 4L, 6L, 3L, 4L, 2L, 7L, 6L, 4L,          5L, 3L, 5L, 5L, 3L), DNeighbour = c(0, 62.0266584971097,          101.803670985395, 102.998950678721, 117.776737099828,          160.09677879299, 169.172818564691, 174.829765768004,          242.260778114699, 288.705232295258, 303.095287209404,          365.456699166385, 400.565701173297, 409.982844972654,          431.715194843533, 443.592649604102, 489.349062942232,          491.432088739334, 492.297166606324, 503.747812566544)), row.names = c("605",      "962", "712", "574", "714", "236", "963", "455", "956", "698",      "924", "458", "262", "59", "582", "124", "586", "594", "408",      "895"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.969907678754611,      0.919985236194841, 0.918135623995711, 0.893662227437158,      0.808193696016196, 0.787158068898443, 0.773609373176342,      0.590928972581326, 0.450965489662757, 0.407019058367043,      0.22437775428735, 0.135205441124132, 0.113989517601099, 0.0705113351752583,      0.0504318960211325, 0.00317526588745102, 0.00233276173412155,      0.00202006424674471, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5490979456 
R squared (OOB):                  0.5341511 

$Forests[[606]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 380000, 410000,      408000, 670000, 648000, 439000, 4e+05, 520000, 5e+05, 565000,      435000, 588000, 448000, 516000, 450000, 440000, 560000, 548000,      638000), floor_area_sqm = c(102, 91, 97, 91, 94, 116, 97,      97, 89, 105, 103, 98, 95, 105, 98, 92, 92, 104, 95, 102),          storey_order = c(3L, 3L, 4L, 3L, 6L, 4L, 3L, 3L, 3L,          2L, 4L, 1L, 3L, 1L, 3L, 1L, 3L, 3L, 2L, 9L), remaining_lease_mths = c(869,          691, 665, 674, 1104, 871, 669, 681, 801, 857, 852, 692,          1025, 866, 698, 679, 677, 851, 981, 869), PROX_CBD = c(8.77938926255451,          9.09613481662016, 8.66747718420982, 8.96374942103709,          8.58683984966127, 8.27332873959955, 8.73211086874077,          9.29171741525155, 8.52269583143835, 8.19182633034048,          8.19182633034048, 8.85689554561162, 8.51090417959469,          8.05276498978228, 8.70928269501252, 8.7589377611275,          8.7589377611275, 7.6651195249001, 8.37940280964872, 7.86314261154951         ), PROX_ELDERLYCARE = c(0.374310234303432, 0.297153722290783,          0.0441159965049124, 0.267188539522683, 0.203840329735754,          0.354571010374291, 0.292319821872094, 0.121888026553089,          0.820777449495704, 0.444818640633349, 0.444818640633349,          0.272187629818594, 0.120425912751251, 0.599632276485302,          0.119444653145476, 0.169235371196244, 0.169235371196244,          0.216787702409289, 0.335901694998922, 0.731462959428347         ), PROX_HAWKER = c(0.0530841043788875, 0.276770006011078,          0.357845486047337, 0.393731145214296, 0.433030813326955,          0.610975272844239, 0.436547444862961, 0.631142210027013,          0.712401259368985, 0.553760551741158, 0.553760551741158,          0.446318851105742, 0.166697492306482, 0.560005371648267,          0.281172749103646, 0.330091511745513, 0.330091511745513,          0.778265933598076, 0.203869560106314, 0.573870222021737         ), PROX_MRT = c(1.18818107396501, 1.2652859093471, 0.874328108605637,          0.71987240697712, 0.751078096441513, 1.0936063211659,          0.600073719023998, 1.65516610461175, 1.68231360215177,          1.08457427678223, 1.08457427678223, 0.372678744867538,          0.608243230971526, 1.12051759514643, 0.379410256905797,          0.338391484905848, 0.338391484905848, 0.910191895307983,          0.62312262100292, 0.85984195598231), PROX_PARK = c(0.700959888788064,          0.429900368262469, 0.691303172853456, 0.60552725382935,          0.52118662053352, 0.477465658778908, 0.617507126900098,          0.199649911236163, 0.11043559696871, 0.374102285306053,          0.374102285306053, 0.479885299937475, 0.368529270986479,          0.30128672956265, 0.513364518506117, 0.469340752260783,          0.469340752260783, 0.361681715476141, 0.394842599629624,          0.281207712521794), PROX_GOOD_PRISCH = c(0.963274696928036,          0.657187468393487, 1.23754792076915, 1.13785719900195,          1.16640042723588, 0.856939381531897, 1.31940815963163,          0.365175047542414, 0.287100670168393, 0.769163347741007,          0.769163347741007, 1.47413984574199, 1.13331232297991,          0.631981624625733, 1.35677240305411, 1.40615721612308,          1.40615721612308, 0.353240700451805, 1.14854892992093,          0.562813849840511), PROX_MALL = c(0.946404029132472,          0.916512124719577, 0.740457696387364, 0.480317195978648,          0.632538285087724, 0.991200103712322, 0.469553394647833,          1.26787190539693, 1.03817238314954, 0.997182626507123,          0.997182626507123, 0.241772845363545, 0.540250505232014,          1.07178760783233, 0.313890580083005, 0.264395031718586,          0.264395031718586, 0.987031177772312, 0.651389947232486,          0.943364056194349), PROX_CHAS = c(0.064920565519497,          0.209184408253321, 0.34300149800099, 0.143131544605207,          0.237191200694799, 0.413431749899638, 0.0664211666443358,          0.143872847977416, 0.0550867573210672, 0.311461966699573,          0.311461966699573, 0.157458356405151, 0.0869956868442428,          0.167974733321899, 0.112175615725657, 0.0806835690144568,          0.0806835690144568, 0.371562543403755, 0.11938167830482,          0.201852081003395), PROX_SUPERMARKET = c(0.239175324970861,          0.235755012868274, 0.158725757407685, 0.181164390242962,          0.35437102597818, 0.502190497784501, 0.350370254212894,          0.371928496535936, 0.153408018077838, 0.485938543293979,          0.485938543293979, 0.224853982916395, 0.0869967242830128,          0.372458117254617, 0.221335227738319, 0.24726445439454,          0.24726445439454, 0.176585087131714, 0.282093113359979,          0.115543350477338), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 2L, 2L, 3L, 2L,          2L, 2L, 0L, 1L, 4L), WITHIN_350M_CHILDCARE = c(2L, 3L,          2L, 4L, 5L, 4L, 6L, 3L, 3L, 2L, 2L, 7L, 6L, 3L, 7L, 8L,          8L, 1L, 4L, 3L), WITHIN_350M_BUS = c(4L, 7L, 5L, 6L,          4L, 8L, 7L, 9L, 6L, 7L, 7L, 7L, 5L, 5L, 6L, 6L, 6L, 5L,          6L, 2L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L,          3L, 2L, 2L, 2L, 2L, 3L, 3L, 1L, 4L, 3L, 3L, 0L, 3L, 2L         ), DNeighbour = c(0, 335.920401151023, 372.63102541269,          482.942015081347, 573.937641400036, 602.759507958551,          634.444332967473, 689.809017908942, 712.871161779006,          718.640007800385, 720.017667359308, 835.621508678612,          836.971417797861, 877.176773647502, 927.469352479866,          933.069793164297, 934.201782645107, 1123.8662427889,          1202.86408103274, 1221.93580519247)), row.names = c("606",      "715", "331", "692", "149", "795", "842", "122", "588", "674",      "128", "397", "94", "635", "446", "194", "386", "935", "998",      "931"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.854562280950015,      0.822657431812065, 0.711991053826517, 0.607442879910725,      0.572553133313533, 0.533511023624576, 0.464190797708415,      0.435138581323777, 0.427872400235251, 0.426137602493811,      0.283394802702698, 0.28178709650343, 0.234914164289043, 0.179686173317102,      0.173818554594975, 0.172640153312435, 0.0237387383849446,      0.000959264023120978, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4797023392 
R squared (OOB):                  0.3963553 

$Forests[[607]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(445000, 450000, 450000,      420000, 425000, 395000, 420000, 440000, 436000, 435000, 430000,      456500, 460000, 418000, 420000, 415000, 438000, 431000, 432000,      358000), floor_area_sqm = c(94, 93, 94, 94, 94, 94, 92, 92,      92, 92, 92, 92, 92, 92, 92, 92, 94, 92, 92, 93), storey_order = c(6L,      9L, 7L, 7L, 6L, 4L, 5L, 8L, 7L, 2L, 6L, 8L, 7L, 6L, 6L, 8L,      5L, 7L, 6L, 1L), remaining_lease_mths = c(1109, 1136, 1119,      1120, 1119, 1113, 1132, 1142, 1139, 1128, 1126, 1144, 1125,      1129, 1142, 1140, 1076, 1138, 1137, 1103), PROX_CBD = c(12.1122271384014,      12.1741021183779, 12.0119641769274, 12.0119641769274, 11.9828723130509,      11.9744040829633, 12.042332185553, 12.042332185553, 12.042332185553,      12.042332185553, 12.0797672032522, 11.9527102757424, 12.02897658153,      12.02897658153, 12.02897658153, 12.02897658153, 11.9414743986494,      11.9317097346946, 11.9317097346946, 11.8075546541859), PROX_ELDERLYCARE = c(0.629785153682861,      0.519600844901231, 0.673044116243487, 0.673044116243487,      0.710325725805382, 0.738781707341689, 0.786890441142101,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.550577233037288, 0.819362766143575, 0.841755023464642,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.687500817542951, 0.680106913101551, 0.680106913101551,      0.922118515238085), PROX_HAWKER = c(0.337796349528525, 0.375471053349032,      0.222580914455278, 0.222580914455278, 0.20448046373977, 0.217370340361849,      0.369655971945997, 0.369655971945997, 0.369655971945997,      0.369655971945997, 0.286867197183981, 0.27814297307049, 0.409616357379742,      0.409616357379742, 0.409616357379742, 0.409616357379742,      0.147098227142532, 0.161367564791002, 0.161367564791002,      0.209140712961875), PROX_MRT = c(0.302747284955937, 0.338849049026276,      0.201095784108649, 0.201095784108649, 0.170867756883987,      0.167322140356011, 0.298263347673859, 0.298263347673859,      0.298263347673859, 0.298263347673859, 0.285059794417971,      0.200702114351669, 0.331072457322778, 0.331072457322778,      0.331072457322778, 0.331072457322778, 0.183575431830776,      0.214149342621172, 0.214149342621172, 0.120215557602138),          PROX_PARK = c(0.576425078157325, 0.612679613149166, 0.691047645736797,          0.691047645736797, 0.697136724289492, 0.679906922269617,          0.542226246468638, 0.542226246468638, 0.542226246468638,          0.542226246468638, 0.747342190235743, 0.643017670933737,          0.529446955515876, 0.529446955515876, 0.529446955515876,          0.529446955515876, 0.807374064658721, 0.785212145526225,          0.785212145526225, 0.747098338531098), PROX_GOOD_PRISCH = c(2.408030235171,          2.45580221931744, 2.29976812492723, 2.29976812492723,          2.27447890050516, 2.27223739349538, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.35145083667271, 2.270018309959, 2.36775586018775, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.21615815400514,          2.20126444296921, 2.20126444296921, 2.12338877581429),          PROX_MALL = c(0.350899017798137, 0.416829357908565, 0.251262654177611,          0.251262654177611, 0.220402811054307, 0.214069216816763,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.332547569579886, 0.356578632219481, 0.232344363503357,          0.358721564938295, 0.358721564938295, 0.358721564938295,          0.358721564938295, 0.22663965361209, 0.255684281538694,          0.255684281538694, 0.119447773727589), PROX_CHAS = c(0.0703863092474096,          0.0461624602204791, 0.131248018016709, 0.131248018016709,          0.0995919009989899, 0.0939357367291076, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.146949814741425, 0.146038815472653, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.25157977989641,          0.156140837156126, 0.203726500797623, 0.203726500797623,          0.11944771257822), PROX_SUPERMARKET = c(0.360308355053667,          0.427183407476201, 0.261515416493987, 0.261515416493987,          0.230351837454113, 0.22318738818849, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.315486318912089, 0.237998550380205, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.314501000490003,          0.236998053946951, 0.217804588957955, 0.217804588957955,          0.119571834445138), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 1L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(7L, 7L,          6L, 6L, 6L, 7L, 4L, 4L, 4L, 4L, 5L, 5L, 4L, 4L, 4L, 4L,          6L, 6L, 6L, 4L), WITHIN_350M_BUS = c(7L, 5L, 6L, 6L,          7L, 10L, 10L, 10L, 10L, 10L, 9L, 12L, 11L, 11L, 11L,          11L, 8L, 8L, 8L, 10L), WITHIN_1KM_PRISCH = c(3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L), DNeighbour = c(0, 108.20115870369, 118.841151161204,          120.700562158001, 131.881536156952, 136.001826414345,          170.306407574272, 172.664042680581, 173.201164818749,          173.530665789996, 192.354568090843, 196.351649314716,          231.906971154837, 232.572456989693, 235.049163426528,          235.89235929005, 239.563752609622, 284.511056663731,          285.33750417876, 313.21607948476)), row.names = c("607",      "621", "947", "167", "203", "858", "634", "16", "573", "908",      "900", "749", "874", "700", "318", "287", "781", "613", "392",      "724"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.775567024946117,      0.732802345708381, 0.725049901201893, 0.676854662033374,      0.658468825099225, 0.496112763800854, 0.484569811504407,      0.481937065879062, 0.480321506026418, 0.38793909504545, 0.368461679149064,      0.204122694858548, 0.201285586988503, 0.190831994181886,      0.18731196527566, 0.17222695619454, 0.0305876098213229, 0.0289315049935076,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       484529959 
R squared (OOB):                  0.07269212 

$Forests[[608]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 324000, 333000,      330000, 345000, 4e+05, 378000, 395000, 375000, 394000, 335000,      320000, 364000, 380000, 368888, 310000, 345000, 378000, 350000,      333000), floor_area_sqm = c(100, 90, 100, 102, 102, 92, 92,      92, 92, 92, 100, 101, 100, 92, 92, 91, 102, 92, 102, 103),          storey_order = c(4L, 4L, 4L, 1L, 2L, 4L, 3L, 3L, 2L,          5L, 4L, 1L, 2L, 4L, 4L, 4L, 4L, 2L, 4L, 1L), remaining_lease_mths = c(930,          929, 928, 911, 927, 1145, 1133, 1132, 1135, 1142, 930,          924, 921, 1135, 1143, 927, 926, 1136, 923, 953), PROX_CBD = c(18.242108360018,          18.3448727328387, 18.2095446148373, 18.2320763538069,          18.2868848905217, 18.4659506582063, 18.5541585191533,          18.4477570786683, 18.5586196198757, 18.5586196198757,          17.9186379864086, 18.0902268845521, 17.9386403893839,          18.528449956106, 18.528449956106, 18.6571260927441, 18.236688278315,          18.6831604018118, 18.0569924715364, 17.7412802518209),          PROX_ELDERLYCARE = c(1.08331104464233, 1.12000720290482,          1.17430183890643, 0.927534095024191, 0.896456720381782,          1.40960952841152, 1.3934670212363, 1.45029388933935,          1.41981179339616, 1.41981179339616, 1.13507400842797,          0.706169610995159, 0.714833653499633, 1.49671415705568,          1.49671415705568, 1.27166470727688, 0.732088251039709,          1.47678345842271, 0.59750504274373, 1.00357172816211),          PROX_HAWKER = c(0.548257960059823, 0.636376603494217,          0.579651089601917, 0.493410913505403, 0.547085889030319,          0.861254406292383, 0.899006211509986, 0.879695992543251,          0.915906485722884, 0.915906485722884, 0.435091735724103,          0.370412154176866, 0.201936965562497, 0.947708217710491,          0.947708217710491, 0.924657565926692, 0.537987121264097,          1.01746494726896, 0.391180253405874, 0.286367973105455         ), PROX_MRT = c(0.47401652613315, 0.565211037998289,          0.501132314022455, 0.433316978327494, 0.495991449430539,          0.783375472664302, 0.823747240068891, 0.801027338961469,          0.839968978875504, 0.839968978875504, 0.364011265623101,          0.341202563029131, 0.168914117564514, 0.869531291623609,          0.869531291623609, 0.861078471223358, 0.511061821383635,          0.943619619760125, 0.384524332485438, 0.240079810641839         ), PROX_PARK = c(2.12857307310705, 2.08056453235766,          2.25371860749481, 1.96114614265628, 1.86697967968657,          2.321508063195, 2.22642888666982, 2.38376543636855, 2.25577949184332,          2.25577949184332, 2.31505119222808, 1.8531048262974,          1.99379565561889, 2.37596217173297, 2.37596217173297,          1.95136051888807, 1.7164330470264, 2.2148581526701, 1.77011013021076,          2.28949331488756), PROX_GOOD_PRISCH = c(8.71021480286832,          8.81498363377987, 8.6635222339794, 8.72297519828522,          8.78822500750919, 8.90481615501782, 9.00155567304774,          8.8804818877731, 9.00274768401056, 9.00274768401056,          8.3676789538936, 8.60631027953587, 8.4444135457925, 8.9605147002348,          8.9605147002348, 9.13456945987866, 8.76378557853615,          9.12987022396436, 8.58956131155308, 8.20478390995202),          PROX_MALL = c(0.347669457974494, 0.284195187673565, 0.468966497593582,          0.22704735136933, 0.1450338527091, 0.542775018358786,          0.475387173022169, 0.601716003339109, 0.5054917244252,          0.5054917244252, 0.384238747959315, 0.342860958869265,          0.238372860218233, 0.613385110580272, 0.613385110580272,          0.300602441432182, 0.240339889961931, 0.525391611000181,          0.407254736414821, 0.222110908162432), PROX_CHAS = c(0.274735402884708,          0.24769320941352, 0.3998394205418, 0.11607611654581,          0.0217240252323136, 0.20305264112251, 0.0809306171135589,          0.260006933015678, 0.101888085354885, 0.101888085354885,          0.360842629752134, 0.209799590563819, 0.076984763134016,          0.220932244035638, 0.220932244035638, 0.214120710257936,          0.184864523484869, 0.090990597005735, 0.222103720735081,          0.222110881748482), PROX_SUPERMARKET = c(0.347668959247477,          0.284194910851331, 0.402574253870019, 0.227046556279957,          0.145032957963293, 0.203051245143547, 0.080929224247632,          0.260005577706646, 0.101886801165025, 0.101886801165025,          0.360842909613722, 0.342860053820009, 0.171190500184261,          0.220931072377982, 0.220931072377982, 0.214121714630789,          0.240339157209448, 0.0909910491430168, 0.385535197909366,          0.222110358133712), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 2L, 2L, 0L, 0L, 0L, 0L, 0L, 1L, 2L, 1L, 0L, 0L,          0L, 2L, 0L, 2L, 1L), WITHIN_350M_CHILDCARE = c(3L, 5L,          2L, 5L, 7L, 3L, 3L, 3L, 3L, 3L, 1L, 6L, 6L, 3L, 3L, 3L,          6L, 3L, 4L, 5L), WITHIN_350M_BUS = c(7L, 8L, 8L, 10L,          9L, 6L, 8L, 8L, 5L, 5L, 11L, 7L, 8L, 6L, 6L, 8L, 7L,          5L, 9L, 16L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L,          4L, 4L, 3L, 4L, 4L, 3L, 5L, 5L, 3L, 3L, 3L, 6L, 3L, 6L,          4L), DNeighbour = c(0, 101.207548353436, 128.569580783809,          181.855275474874, 264.952185334042, 325.153432940626,          347.292279423103, 360.994480777865, 365.154777456656,          368.34312513752, 373.457980310658, 379.057890060698,          407.838797443448, 421.691376747825, 421.969575446272,          425.588277158438, 434.123664380317, 462.637422880008,          498.888157768162, 512.618003187979)), row.names = c("608",      "512", "243", "443", "787", "777", "563", "504", "35", "581",      "590", "74", "638", "102", "875", "761", "227", "664", "491",      "242"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.923560084664443,      0.878146067218901, 0.764132710799932, 0.537076223304821,      0.357202163659887, 0.292692592454131, 0.254094583862963,      0.242636571192304, 0.233948090814069, 0.220188937362411,      0.205396098154635, 0.134704345894116, 0.104517293721043,      0.103940581613299, 0.0965509354767188, 0.0799768391343635,      0.0344083558336985, 0.00279314152707839, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       320985324 
R squared (OOB):                  0.5969767 

$Forests[[609]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 415000, 390000,      418888, 442500, 418000, 382000, 345000, 425000, 430000, 335000,      418000, 395000, 425000, 462000, 443000, 447888, 459000, 445000,      334008), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 90,      93, 92, 102, 92, 93, 93, 93, 93, 93, 93, 93, 103), storey_order = c(4L,      2L, 1L, 3L, 6L, 5L, 1L, 5L, 5L, 5L, 4L, 3L, 2L, 4L, 5L, 5L,      5L, 4L, 4L, 2L), remaining_lease_mths = c(1135, 1132, 1132,      1136, 1138, 1142, 1111, 937, 1134, 1137, 940, 1134, 1138,      1134, 1134, 1134, 1137, 1138, 1133, 917), PROX_CBD = c(14.5310939664424,      14.6122009832922, 14.6424103631698, 14.4158973706441, 14.4158973706441,      14.4012043650842, 14.29200158436, 14.2787185061121, 14.3486805845321,      14.2919055230493, 14.4474740114555, 14.318757359464, 14.318757359464,      14.318757359464, 14.1475961545785, 14.1475961545785, 14.1475961545785,      14.1715462602585, 14.1149653809405, 14.2719972222741), PROX_ELDERLYCARE = c(1.79186944623163,      1.68824062303628, 1.72557175775889, 1.86115765343828, 1.86115765343828,      1.94149260139439, 2.00367987562091, 1.77826193055387, 2.08279710659019,      2.08663557441472, 1.50338082315219, 2.13920478430288, 2.13920478430288,      2.13920478430288, 2.03155968851809, 2.03155968851809, 2.03155968851809,      2.09595649451453, 2.12564955085825, 1.50921581969441), PROX_HAWKER = c(0.816792492128141,      0.707122679385598, 0.740384095011384, 0.900970586039013,      0.900970586039013, 0.977925494011815, 1.05572120633707, 0.865181709866835,      1.11865892678262, 1.13160866269818, 0.588144724666333, 1.17625726432186,      1.17625726432186, 1.17625726432186, 1.0452124348096, 1.0452124348096,      1.0452124348096, 1.11030496241672, 1.06810792734919, 0.684102697062058     ), PROX_MRT = c(0.197201307651512, 0.295449456212788, 0.312698200175978,      0.0830542408041225, 0.0830542408041225, 0.117672709296806,      0.129588785375857, 0.14195902454703, 0.228370105834555, 0.215635082050947,      0.224566301285939, 0.277525006355607, 0.277525006355607,      0.277525006355607, 0.206896355650083, 0.206896355650083,      0.206896355650083, 0.236487582928319, 0.282489779359316,      0.347262283963267), PROX_PARK = c(1.79335149216305, 1.76906915549279,      1.78460824921244, 1.70853765465547, 1.70853765465547, 1.73691437359179,      1.659682039687, 1.51686048726609, 1.76668334590621, 1.71136953372848,      1.55939681176166, 1.77227256709076, 1.77227256709076, 1.77227256709076,      1.52292224478236, 1.52292224478236, 1.52292224478236, 1.59201213147604,      1.55223981690243, 1.38760566459916), PROX_GOOD_PRISCH = c(5.7030752613132,      5.7298925008129, 5.77937603269072, 5.62289607338158, 5.62289607338158,      5.65284274036128, 5.57470277830303, 5.42826997650874, 5.67955556528646,      5.62322031775431, 5.45861643017911, 5.68167095374807, 5.68167095374807,      5.68167095374807, 5.43570837857945, 5.43570837857945, 5.43570837857945,      5.50129862889456, 5.45814117537329, 5.26118802945754), PROX_MALL = c(0.466036051693473,      0.426875162675013, 0.482269498416602, 0.475045953779526,      0.475045953779526, 0.544441659044551, 0.462705775504015,      0.338911837083335, 0.571430807201143, 0.517951444315281,      0.12145856762689, 0.582562895872492, 0.582562895872492, 0.582562895872492,      0.329425359540921, 0.329425359540921, 0.329425359540921,      0.405991175981987, 0.377565489031552, 0.108121271181015),          PROX_CHAS = c(0.162368565956873, 0.270793953405505, 0.280031834846542,          0.0420419616737589, 0.0420419616737589, 0.0706873614354785,          0.0888572682655253, 0.18872293939054, 0.0590253437170886,          3.54155757628082e-08, 0.121458549123021, 0.0707174365033835,          0.0707174365033835, 0.0707174365033835, 0.188783823394846,          0.188783823394846, 0.188783823394846, 0.12657377242065,          0.179884741524278, 0.108121286081234), PROX_SUPERMARKET = c(0.162368758687164,          0.270794118098451, 0.280032026158491, 0.0420421510628514,          0.0420421510628514, 0.0706874850207218, 0.124391003677116,          0.188722783027928, 0.199153546859355, 0.199383936085002,          0.134916350552101, 0.25307995359875, 0.25307995359875,          0.25307995359875, 0.235757849482592, 0.235757849482592,          0.235757849482592, 0.248308073473709, 0.299769914037237,          0.105248463653719), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,          2L, 2L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(4L, 5L,          3L, 5L, 5L, 5L, 5L, 6L, 4L, 5L, 5L, 4L, 4L, 4L, 6L, 6L,          6L, 5L, 6L, 4L), WITHIN_350M_BUS = c(8L, 6L, 6L, 7L,          7L, 6L, 5L, 8L, 4L, 4L, 11L, 3L, 3L, 3L, 6L, 6L, 6L,          5L, 5L, 10L), WITHIN_1KM_PRISCH = c(3L, 4L, 3L, 4L, 4L,          3L, 4L, 4L, 3L, 3L, 5L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L,          5L), DNeighbour = c(0, 120.232633992853, 120.271793805605,          123.271465138514, 124.990216575169, 177.810247138856,          276.781369814567, 283.362257363191, 307.187100233058,          337.222131766789, 348.788507763799, 361.558164191694,          365.783844679924, 369.668312920486, 396.993423235882,          400.29815737297, 401.850779637166, 409.380976751426,          465.69952582698, 506.735871537995)), row.names = c("609",      "489", "323", "100", "33", "633", "989", "329", "217", "267",      "826", "58", "840", "205", "207", "966", "623", "277", "519",      "381"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.890576288547504,      0.890507064417683, 0.885145642258697, 0.882021627138214,      0.768907761907801, 0.492327791282457, 0.472388388071347,      0.400071977292114, 0.310402268967679, 0.276925499514632,      0.24099437609014, 0.22938581295334, 0.218852566706766, 0.149176157078535,      0.14135515276896, 0.137731613336159, 0.120639833412894, 0.0241508423299093,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1300914643 
R squared (OOB):                  0.156526 

$Forests[[610]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(580000, 660000, 530000,      620000, 552000, 472000, 688000, 408000, 750000, 755000, 375000,      355000, 805000, 685000, 820000, 825000, 840000, 407000, 438888,      8e+05), floor_area_sqm = c(100, 90, 111, 102, 100, 84, 85,      84, 90, 90, 82, 82, 104, 85, 87, 87, 87, 82, 80, 90), storey_order = c(4L,      10L, 1L, 3L, 1L, 2L, 4L, 6L, 11L, 5L, 3L, 2L, 3L, 4L, 9L,      5L, 14L, 5L, 4L, 7L), remaining_lease_mths = c(1013, 993,      767, 908, 910, 799, 964, 647, 1035, 1038, 645, 656, 919,      1038, 1136, 1136, 1141, 661, 601, 1063), PROX_CBD = c(4.79843685927635,      5.00856672458725, 4.3501519248406, 4.95292174150019, 4.64904487497998,      4.27761841825855, 3.98134497452694, 5.38657645344473, 4.88070069409732,      4.88070069409732, 3.68559345068932, 3.73116287154914, 4.1456930527125,      4.89531124268982, 4.59114385332588, 4.59114385332588, 4.70219035054856,      3.63085360417079, 3.37234644442932, 2.97610984462207), PROX_ELDERLYCARE = c(0.72206466606869,      0.403456137693205, 0.203630745919553, 0.0718437191527097,      0.374326446996408, 0.0937624362906392, 0.168717999980802,      0.465891927060243, 0.312658206579851, 0.312658206579851,      0.466665237090727, 0.501456868829436, 0.45180890917037, 0.307888742732217,      0.125633226962327, 0.125633226962327, 0.200702517977741,      0.233260955843543, 0.401810150563083, 0.249991250520312),          PROX_HAWKER = c(0.669525197575465, 0.327438715714418,          0.509657348502929, 0.126776661941161, 0.28049665267082,          0.566432501893156, 0.262344394473714, 0.351855498276287,          0.595417483526792, 0.595417483526792, 0.28293755865871,          0.311969910328466, 0.668394095052703, 0.546104933523636,          0.762382071136897, 0.762382071136897, 0.646528219825606,          0.0974836441417274, 0.449139985411189, 0.405863058813757         ), PROX_MRT = c(1.13446368103879, 0.699181106494864,          0.533693046359433, 0.804865461788644, 0.763812758173444,          0.40356540460373, 0.310254962870727, 0.675587286197546,          0.314337158810329, 0.314337158810329, 1.17490863944549,          1.10221151459309, 0.413017272318271, 0.275254866694397,          0.586728793826683, 0.586728793826683, 0.491479629856663,          0.897060452829867, 0.537190991659238, 0.337225216160626         ), PROX_PARK = c(0.279857584881724, 0.344858191728297,          0.941534540217125, 0.908868407872405, 1.08394438059851,          1.11098670131371, 0.894232249415992, 1.05249384295472,          1.53366372097489, 1.53366372097489, 0.304435062988112,          0.271761978726623, 1.16828897329218, 1.60860995669454,          1.65596921250538, 1.65596921250538, 1.77379186206272,          0.512523364266062, 0.408351250353425, 0.4671588721782         ), PROX_GOOD_PRISCH = c(4.40925832010736, 4.86324650242379,          3.77462248476967, 3.66355651606602, 3.57098970158234,          3.63213704613537, 3.868083844602, 3.52335384407219, 3.0451226436528,          3.0451226436528, 5.15997579188296, 5.22570836776045,          3.20846684942761, 2.96671225712824, 2.86977258716747,          2.86977258716747, 2.79995758206102, 5.4842432173218,          3.70512913004722, 4.56048774292729), PROX_MALL = c(0.830412122132217,          1.20968740927381, 0.812522711759855, 0.209686974260184,          0.528365937160055, 0.890632544268956, 1.18273225000282,          0.184401966361696, 0.63262312230698, 0.63262312230698,          1.3376464242075, 1.41171259857663, 1.18405339004253,          0.696065710972082, 0.992224857230604, 0.992224857230604,          0.970860317849455, 1.51733094855201, 0.743612757274357,          0.362094853274792), PROX_CHAS = c(0.120011087306801,          0.358299181925541, 0.237239443458304, 0.176171654931402,          0.251376462502101, 0.116543108560641, 0.145112311632742,          0.131272369045618, 0.278004299073392, 0.278004299073392,          0.216565147674259, 0.261237260735983, 0.401816380076581,          0.22404402777184, 0.156405874770629, 0.156405874770629,          0.0639130956899198, 0.318203164684035, 0.499618186459994,          0.111500209373212), PROX_SUPERMARKET = c(0.0907294343182455,          0.395196557309087, 0.125937465506006, 0.176171398022836,          0.311533400888457, 0.205058734443685, 0.252387257990654,          0.182486832055582, 0.278004958714438, 0.278004958714438,          0.252487697752149, 0.301923436189205, 0.431453687618191,          0.224044642536509, 0.156405662038775, 0.156405662038775,          0.0639125072278545, 0.318204198369299, 0.499617451823641,          0.111500172768761), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 0L, 2L, 0L, 0L, 1L, 1L, 5L, 5L, 1L, 1L, 1L, 5L, 0L,          0L, 2L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(2L, 1L,          5L, 1L, 2L, 5L, 3L, 1L, 5L, 5L, 3L, 3L, 1L, 4L, 3L, 3L,          4L, 1L, 2L, 3L), WITHIN_350M_BUS = c(6L, 7L, 13L, 7L,          12L, 14L, 12L, 8L, 8L, 8L, 10L, 9L, 7L, 9L, 7L, 7L, 7L,          11L, 8L, 4L), WITHIN_1KM_PRISCH = c(2L, 1L, 1L, 2L, 2L,          1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 3L,          3L), DNeighbour = c(0, 468.523549630368, 772.963426592166,          773.437624001087, 853.68014896598, 949.199995692137,          995.15191583252, 1127.64068330465, 1366.70648814172,          1369.10262808092, 1397.91628385392, 1411.0766533865,          1441.59843059171, 1442.00243935815, 1577.3380246522,          1578.64612201753, 1623.43787682158, 1683.54381314156,          1716.3984720454, 1823.38685114973)), row.names = c("610",      "515", "348", "216", "140", "709", "375", "130", "39", "982",      "683", "432", "320", "916", "768", "333", "854", "742", "69",      "319"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.872310208616897,      0.672883824147976, 0.672522026844865, 0.609654804963613,      0.531451438044928, 0.492991965061094, 0.381358029158652,      0.192006610512589, 0.190282559054976, 0.169936613930356,      0.160893088550461, 0.140570013213983, 0.140307384839073,      0.0633388709885005, 0.062715409380859, 0.0429696173840452,      0.0217580907931393, 0.0129751321444199, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12427682330 
R squared (OOB):                  0.5562863 

$Forests[[611]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 370000, 355000,      345000, 4e+05, 358000, 363000, 340000, 380000, 440000, 380000,      660000, 672000, 492500, 378000, 377000, 352000, 388000, 410000,      650000), floor_area_sqm = c(104, 84, 84, 84, 104, 84, 84,      84, 93, 91, 92, 85, 85, 108, 84, 98, 84, 98, 103, 104), storey_order = c(2L,      3L, 3L, 1L, 2L, 3L, 4L, 1L, 3L, 5L, 1L, 3L, 5L, 2L, 3L, 3L,      2L, 2L, 2L, 3L), remaining_lease_mths = c(781, 777, 782,      789, 783, 770, 780, 780, 790, 669, 767, 1032, 1042, 912,      799, 735, 800, 728, 799, 815), PROX_CBD = c(7.27303659463988,      7.32999369210923, 7.37752466520609, 7.23308787648785, 6.8579883001408,      6.82164733234375, 6.82164733234375, 6.73119135364588, 7.92065359752155,      6.95185067667089, 8.01258306529517, 6.62545736407856, 6.58265946872266,      8.12312779702036, 8.15960948514705, 8.07728506382532, 8.28689365911172,      8.19895861369783, 8.31972436488376, 7.71625132507906), PROX_ELDERLYCARE = c(0.949520652768775,      1.04617467786566, 1.11141904944431, 0.804640181087392, 0.650979480304367,      0.729511559050305, 0.729511559050305, 0.709869492714774,      1.44631042678071, 0.368543492371998, 1.38923408288603, 0.121758896932011,      0.129826558983194, 1.71708078323557, 1.45090119588013, 1.22552837794249,      1.3668692597991, 1.1658248464307, 1.3912791419992, 1.13999552495818     ), PROX_HAWKER = c(0.905159668549179, 1.00458194418859, 1.06790139631185,      0.727393295990439, 0.732876252375814, 0.834207881424508,      0.834207881424508, 0.84617550022745, 0.646393168274836, 0.163396016993116,      0.532883444787396, 0.33268573973532, 0.37361464573735, 0.581802643409563,      0.40344417957638, 0.503102516785602, 0.269406334629514, 0.391405491562813,      0.252588085280054, 0.888477780938884), PROX_MRT = c(0.477339162120678,      0.446590670593176, 0.450606800129455, 0.626719191507479,      0.479854345281657, 0.401668294921849, 0.401668294921849,      0.447149108468339, 0.434970780163821, 0.258776848421036,      0.57194553577364, 0.255638745600017, 0.288098631383321, 0.142211914808532,      0.408889372474398, 0.711885268750489, 0.467794692056616,      0.707144761815547, 0.44379796826936, 0.227897729387739),          PROX_PARK = c(1.28136359713013, 1.30043300411079, 1.30417314517193,          1.17683143601381, 1.26891760289394, 1.33915084667526,          1.33915084667526, 1.30601230217613, 0.790688256163915,          0.871860056746433, 0.580004121625521, 0.741691321664553,          0.734858817801552, 0.921087542045637, 0.650146210437373,          0.413960848298732, 0.570592214216024, 0.372450573927522,          0.59965919275643, 0.374132090410645), PROX_GOOD_PRISCH = c(2.72285479219865,          2.81856751915823, 2.87682745937193, 2.53413597667736,          2.57894825178105, 2.67483404440455, 2.67483404440455,          2.67147237000904, 2.86596411907387, 1.99104033276262,          2.75227504535898, 2.08436883673306, 2.10026546945211,          3.16123688190063, 2.95345383530684, 2.66084492380109,          2.99359805566516, 2.73491137460549, 3.04207330950824,          1.93537396204111), PROX_MALL = c(1.40144317349524, 1.4733570331857,          1.52964479685301, 1.33824767405872, 0.985446043286547,          0.977306285381771, 0.977306285381771, 0.894914409230097,          2.02812113432733, 1.10491400246256, 2.11322307221905,          0.757747380414752, 0.712222885156031, 2.25269448786787,          2.20417563031698, 2.0316459728171, 2.09618768409308,          1.94983703099632, 2.10790194839897, 1.9342939090943),          PROX_CHAS = c(0.150676124399865, 0.100781853121145, 0.123680988169118,          0.335243362149438, 0.418063314797021, 0.389404577789016,          0.389404577789016, 0.468632365618207, 0.0418426354504526,          0.197049444171332, 0.1333322783253, 0.152169077912936,          0.19769969897302, 0.169904154790832, 0.102408834624747,          0.279534674537085, 0.229330661012247, 0.293834776478611,          0.261198443001062, 0.147762521806201), PROX_SUPERMARKET = c(0.216512452964216,          0.154588063793208, 0.15284622075069, 0.400791637001426,          0.471666412940503, 0.457775852816324, 0.457775852816324,          0.541263540151477, 0.6226371739075, 0.145490551360364,          0.475213328012689, 0.21094349839638, 0.255985378039003,          0.496146947525001, 0.391977689272912, 0.412975566732202,          0.266710264104055, 0.293834967432244, 0.272257424647181,          0.185503456748824), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 1L, 0L, 0L, 0L, 0L, 2L, 1L, 1L, 1L, 0L, 2L, 1L,          1L, 1L, 2L, 1L, 3L), WITHIN_350M_CHILDCARE = c(4L, 4L,          5L, 2L, 1L, 1L, 1L, 2L, 3L, 3L, 2L, 0L, 0L, 1L, 2L, 2L,          2L, 3L, 3L, 3L), WITHIN_350M_BUS = c(7L, 8L, 9L, 4L,          3L, 4L, 4L, 4L, 6L, 4L, 6L, 2L, 2L, 8L, 7L, 6L, 7L, 7L,          9L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 2L,          2L, 2L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 3L         ), DNeighbour = c(0, 106.11180075301, 170.918493282854,          187.64529523494, 416.291487351181, 448.428965810689,          449.106293575645, 543.390880915858, 669.321385113752,          739.787701857398, 812.242314819682, 838.969254175432,          857.21734350987, 858.375625742503, 905.155800624596,          931.713423212131, 1040.83598781089, 1042.11487511794,          1072.86110535084, 1142.55059326902)), row.names = c("611",      "187", "948", "171", "168", "46", "322", "529", "1", "492",      "200", "841", "388", "669", "327", "395", "266", "29", "540",      "809"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.982823706026986,      0.955744174265867, 0.946782119583957, 0.752117446034964,      0.715646566274367, 0.714858869160062, 0.598781584908608,      0.431416091517774, 0.337281480027078, 0.24464630781903, 0.21234656369018,      0.191056671140738, 0.18972826159746, 0.1386679159863, 0.112233023531403,      0.0289418408313118, 0.0282516948126319, 0.0139875507547328,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6923055986 
R squared (OOB):                  0.395442 

$Forests[[612]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(326000, 344000, 350000,      320000, 272000, 303000, 350000, 325000, 297000, 330000, 303888,      298000, 375000, 318000, 316000, 305000, 279000, 3e+05, 380000,      370000), floor_area_sqm = c(100, 114, 104, 84, 89, 92, 103,      91, 91, 103, 93, 93, 92, 91, 92, 91, 91, 96, 105, 93), storey_order = c(2L,      2L, 3L, 1L, 2L, 1L, 4L, 4L, 3L, 2L, 2L, 1L, 4L, 1L, 3L, 4L,      2L, 4L, 2L, 5L), remaining_lease_mths = c(915, 909, 901,      822, 882, 794, 768, 780, 788, 773, 782, 777, 783, 765, 781,      791, 801, 791, 910, 1106), PROX_CBD = c(17.6260899808187,      17.7896312466061, 17.7210097801066, 17.6406634027014, 17.8554664137964,      18.2139172788048, 18.3186881593276, 18.1476771148045, 18.1476771148045,      18.4499801912104, 18.5252470382495, 18.5252470382495, 18.1857629477019,      18.2234963781047, 18.2234963781047, 18.2610111258248, 18.2989051402725,      18.5761736305699, 17.589085398281, 18.8127816342995), PROX_ELDERLYCARE = c(1.35112026832555,      1.25681260125729, 1.43994188754287, 1.035266769267, 0.800501761367975,      0.649170232100017, 0.586525817031338, 0.519546459890619,      0.519546459890619, 0.504778052376495, 0.449194476018676,      0.449194476018676, 0.47723779098819, 0.448333702611612, 0.448333702611612,      0.421521882373529, 0.397078044127006, 0.0638277150498875,      0.387351173411546, 0.176499517448139), PROX_HAWKER = c(0.881717267283345,      0.881066744107593, 1.08104793194974, 0.425506106332545, 0.203123967436651,      0.488031980714328, 0.564283191409187, 0.209390724873544,      0.209390724873544, 0.652207052169444, 0.69553534809229, 0.69553534809229,      0.380157991945912, 0.416527045274471, 0.416527045274471,      0.453171307776496, 0.491047773869601, 0.562029876499453,      0.776912813652288, 0.325560722493799), PROX_MRT = c(0.583976034009999,      0.459633808793419, 0.633809880192534, 0.641227062746355,      0.555370291384357, 0.192826481399443, 0.220618943711049,      0.491311596778589, 0.491311596778589, 0.322534237265928,      0.398456142880405, 0.398456142880405, 0.548087095608087,      0.545975779093886, 0.545975779093886, 0.547550551918807,      0.552168886353884, 0.874368880716004, 0.371614593402704,      1.04083770509984), PROX_PARK = c(1.13048326604805, 1.08767920112524,      1.21384923350496, 0.74946287094318, 0.515057634059466, 0.532358306258428,      0.548488124002706, 0.270911567278729, 0.270911567278729,      0.536975621309476, 0.491317901173298, 0.491317901173298,      0.261695126667213, 0.264257474455249, 0.264257474455249,      0.272660801967067, 0.287159802467115, 0.287868908027907,      0.925923962472294, 0.51923222906617), PROX_GOOD_PRISCH = c(8.8937984610311,      9.06437119601063, 9.06160802360773, 8.7372089119322, 8.91472106998272,      9.33501569353139, 9.44179125712709, 9.18618174729203, 9.18618174729203,      9.56762880935522, 9.63394268044443, 9.63394268044443, 9.10363750169146,      9.1355701416359, 9.1355701416359, 9.16752282736586, 9.19982386356694,      9.51590189269927, 8.43639308613493, 9.7422556358987), PROX_MALL = c(0.88883938803957,      0.889615709496153, 1.08939761229127, 0.427942470585451, 0.208298160410803,      0.498813518897969, 0.574856358668165, 0.218975149940797,      0.218975149940797, 0.662291407978718, 0.705200807731176,      0.705200807731176, 0.374195605351922, 0.411037179701155,      0.411037179701155, 0.448092738738542, 0.486326630506135,      0.624506085881379, 0.232188905247248, 0.856774663098642),          PROX_CHAS = c(0.292626833079875, 0.198210651063146, 0.398301228330107,          0.23100298607827, 0.208298146952687, 0.0363398547195702,          0.141159289664064, 0.218975205360203, 0.218975205360203,          0.201478871858691, 0.240425442805127, 0.240425442805127,          0.172021358032342, 0.132763801624598, 0.132763801624598,          0.0964740211655948, 0.0660681856594747, 0.0792988689034794,          0.0713809516165408, 0.2593611752042), PROX_SUPERMARKET = c(0.489184551662952,          0.347801992140281, 0.510818921359131, 0.231004283416662,          0.19872598136169, 0.186956242757619, 0.210011389308567,          0.206881250620068, 0.206881250620068, 0.310351384739933,          0.386130046709882, 0.386130046709882, 0.38486207983901,          0.421116980529575, 0.421116980529575, 0.457654559995222,          0.490326509583637, 0.625539331690589, 0.238177195426237,          0.856773769273042), WITHIN_350M_KINDERGARTEN = c(3L,          3L, 3L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 4L,          1L, 6L, 5L, 5L, 4L, 3L, 3L, 2L, 1L, 1L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 1L), WITHIN_350M_BUS = c(6L, 7L, 5L, 8L,          10L, 9L, 10L, 7L, 7L, 9L, 8L, 8L, 4L, 6L, 6L, 6L, 6L,          10L, 8L, 16L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 3L,          3L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 4L, 4L, 4L, 4L, 4L, 2L,          5L, 1L), DNeighbour = c(0, 169.903023867392, 259.765478719164,          540.545717073392, 675.743702684348, 704.685207677707,          785.424334316317, 852.527348131614, 856.518902612755,          903.376964321693, 975.695726897255, 978.160276786356,          1252.85091476043, 1286.67550133404, 1287.93691866928,          1323.69691867172, 1356.74389615721, 1381.04880705059,          1454.74004854469, 1560.76069855023)), row.names = c("612",      "172", "825", "730", "467", "481", "367", "944", "827", "810",      "106", "11", "733", "47", "202", "905", "433", "78", "464",      "637"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.976439817178459,      0.945365992553808, 0.774491907159718, 0.660233344137802,      0.633849625547967, 0.557647223734046, 0.492295412276818,      0.48837349374175, 0.442203890540048, 0.371122875081393, 0.368718284204304,      0.126482368919881, 0.102644074522299, 0.101791582367992,      0.0787976836876237, 0.0597048605083384, 0.0471017932743974,      0.0172248133116382, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       845839009 
R squared (OOB):                  0.09008838 

$Forests[[613]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(431000, 432000, 438000,      425000, 430000, 450000, 420000, 425000, 395000, 450000, 445000,      432000, 393000, 456500, 358000, 435000, 385000, 440000, 441000,      436000), floor_area_sqm = c(92, 92, 94, 94, 92, 94, 94, 94,      94, 93, 94, 93, 93, 92, 93, 95, 93, 96, 93, 92), storey_order = c(7L,      6L, 5L, 5L, 6L, 7L, 7L, 6L, 4L, 9L, 6L, 5L, 2L, 8L, 1L, 6L,      1L, 7L, 6L, 7L), remaining_lease_mths = c(1138, 1137, 1076,      1083, 1126, 1119, 1120, 1119, 1113, 1136, 1109, 1138, 1134,      1144, 1103, 1105, 1134, 1108, 1097, 1139), PROX_CBD = c(11.9317097346946,      11.9317097346946, 11.9414743986494, 11.8751655684431, 12.0797672032522,      12.0119641769274, 12.0119641769274, 11.9828723130509, 11.9744040829633,      12.1741021183779, 12.1122271384014, 11.7767430748854, 11.7767430748854,      11.9527102757424, 11.8075546541859, 11.6071858552171, 11.6526890235784,      11.6053344020152, 11.8078122246038, 12.042332185553), PROX_ELDERLYCARE = c(0.680106913101551,      0.680106913101551, 0.687500817542951, 0.727329111385366,      0.550577233037288, 0.673044116243487, 0.673044116243487,      0.710325725805382, 0.738781707341689, 0.519600844901231,      0.629785153682861, 0.813774711283767, 0.813774711283767,      0.819362766143575, 0.922118515238085, 1.02315858897206, 0.935812608446987,      1.04503450829128, 0.95260617550949, 0.786890441142101), PROX_HAWKER = c(0.161367564791002,      0.161367564791002, 0.147098227142532, 0.145379780608352,      0.286867197183981, 0.222580914455278, 0.222580914455278,      0.20448046373977, 0.217370340361849, 0.375471053349032, 0.337796349528525,      0.340776861445006, 0.340776861445006, 0.27814297307049, 0.209140712961875,      0.193888136950838, 0.34883542271072, 0.210992660312359, 0.262687630178652,      0.369655971945997), PROX_MRT = c(0.214149342621172, 0.214149342621172,      0.183575431830776, 0.191731142133254, 0.285059794417971,      0.201095784108649, 0.201095784108649, 0.170867756883987,      0.167322140356011, 0.338849049026276, 0.302747284955937,      0.162476645519961, 0.162476645519961, 0.200702114351669,      0.120215557602138, 0.216093917824789, 0.28284034831035, 0.206803096961617,      0.173777829752023, 0.298263347673859), PROX_PARK = c(0.785212145526225,      0.785212145526225, 0.807374064658721, 0.723512884628395,      0.747342190235743, 0.691047645736797, 0.691047645736797,      0.697136724289492, 0.679906922269617, 0.612679613149166,      0.576425078157325, 0.615413214289157, 0.615413214289157,      0.643017670933737, 0.747098338531098, 0.521580333579447,      0.489736206412745, 0.554363925008431, 0.746013140888617,      0.542226246468638), PROX_GOOD_PRISCH = c(2.20126444296921,      2.20126444296921, 2.21615815400514, 2.14229157607785, 2.35145083667271,      2.29976812492723, 2.29976812492723, 2.27447890050516, 2.27223739349538,      2.45580221931744, 2.408030235171, 2.03585243074848, 2.03585243074848,      2.270018309959, 2.12338877581429, 1.89230283405924, 1.91178525383739,      1.90056431650247, 2.13533890725473, 2.36724315061599), PROX_MALL = c(0.255684281538694,      0.255684281538694, 0.22663965361209, 0.249449426365425, 0.356578632219481,      0.251262654177611, 0.251262654177611, 0.220402811054307,      0.214069216816763, 0.416829357908565, 0.350899017798137,      0.437539575450179, 0.437539575450179, 0.232344363503357,      0.119447773727589, 0.173810560938293, 0.427385274755512,      0.158081786709397, 0.17025857997445, 0.332547569579886),          PROX_CHAS = c(0.203726500797623, 0.203726500797623, 0.156140837156126,          0.179410689617013, 0.146949814741425, 0.131248018016709,          0.131248018016709, 0.0995919009989899, 0.0939357367291076,          0.0461624602204791, 0.0703863092474096, 0.108183414657245,          0.108183414657245, 0.146038815472653, 0.11944771257822,          0.173810611614792, 0.225869963934761, 0.158081821824728,          0.170258520163124, 0.236223262451169), PROX_SUPERMARKET = c(0.217804588957955,          0.217804588957955, 0.236998053946951, 0.179159947933279,          0.315486318912089, 0.261515416493987, 0.261515416493987,          0.230351837454113, 0.22318738818849, 0.427183407476201,          0.360308355053667, 0.108294583955479, 0.108294583955479,          0.237998550380205, 0.119571834445138, 0.1671684124578,          0.225911825558638, 0.148884454693003, 0.168966076328732,          0.33849828517841), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L,          1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L,          7L, 5L, 6L, 6L, 6L, 7L, 7L, 7L, 3L, 3L, 5L, 4L, 4L, 3L,          4L, 4L, 4L), WITHIN_350M_BUS = c(8L, 8L, 8L, 6L, 9L,          6L, 6L, 7L, 10L, 5L, 7L, 4L, 4L, 12L, 10L, 6L, 4L, 8L,          11L, 10L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 3L, 3L, 3L, 4L, 3L, 3L,          3L), DNeighbour = c(0, 8.2075521736654, 58.2025408846117,          67.3689252041359, 146.549192157982, 178.392850927351,          181.240611496085, 198.680161240165, 231.003685705461,          270.729246184326, 284.511056663731, 296.687780235637,          298.755547897684, 324.505696106107, 325.801433265255,          344.516303291654, 359.089994171413, 375.426180614711,          383.030818926229, 389.451075526784)), row.names = c("613",      "392", "781", "250", "900", "947", "167", "203", "858", "621",      "607", "325", "939", "749", "724", "922", "309", "158", "439",      "573"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999111913987334,      0.955829644899232, 0.941048277765008, 0.736851797571677,      0.624382756941558, 0.613757153282089, 0.547219020592187,      0.420125257336374, 0.267038991711704, 0.217441100207367,      0.176102180577728, 0.169354916581975, 0.093460633552786,      0.0900946668205293, 0.0472832124864398, 0.0224519521442963,      0.00500231568791283, 0.0010692266138892, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       495953318 
R squared (OOB):                  0.1942571 

$Forests[[614]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(485000, 455000, 369000,      375000, 390000, 385000, 376000, 398000, 335000, 373000, 389000,      368000, 395000, 388000, 418888, 360000, 325000, 408000, 320000,      330000), floor_area_sqm = c(93, 93, 94, 90, 101, 101, 101,      100, 93, 103, 103, 100, 101, 100, 100, 104, 84, 100, 92,      84), storey_order = c(7L, 3L, 5L, 5L, 4L, 3L, 2L, 2L, 5L,      1L, 2L, 2L, 4L, 4L, 2L, 2L, 5L, 5L, 2L, 4L), remaining_lease_mths = c(1137,      1139, 942, 946, 932, 952, 948, 924, 921, 870, 863, 923, 936,      922, 932, 804, 812, 916, 1009, 806), PROX_CBD = c(10.5587309121129,      10.5974154418399, 10.5038890156487, 10.5038890156487, 10.247812625002,      10.5394819073022, 10.1515839247586, 10.2027088676681, 10.6321305837804,      9.95029435977204, 9.90721965789512, 10.5911430304609, 10.5347600839054,      10.3133134299625, 9.64941173000682, 10.0879656312395, 9.87023127008802,      9.71665400465424, 11.3397363359505, 9.63621863936401), PROX_ELDERLYCARE = c(1.80931542236799,      1.80859644276987, 1.64894906385774, 1.64894906385774, 1.89270432318243,      1.55101586165687, 1.93850967877536, 1.63738856945076, 1.32435226249417,      2.09611483432966, 2.17440400131014, 1.2745451415541, 1.31633228018286,      1.4124150938613, 1.9510043332774, 1.31022889057949, 1.35138892750767,      1.86385802759073, 1.39271535621019, 1.48805339077067), PROX_HAWKER = c(0.792644050178693,      0.832920293493618, 0.53455823354733, 0.53455823354733, 0.561647681218514,      0.463304434183495, 0.608980172673109, 0.264427923442986,      0.382898898882956, 0.876506442172381, 1.08766938871094, 0.314632743063994,      0.259744380023822, 0.0623262564011618, 0.940071074791988,      0.196699811405185, 0.410023469086153, 1.14805608329678, 0.570701345451429,      0.677896697868769), PROX_MRT = c(1.33157685526365, 1.28588132880872,      1.36742764633517, 1.36742764633517, 1.63637339364314, 1.31136747445593,      1.73271025710532, 1.392302848886, 1.20430491709432, 1.8917195123599,      1.9078610258369, 1.14211364891441, 1.15842683571226, 1.09471398918577,      1.69853939108909, 1.09046737609619, 1.23646610314009, 2.10187463598542,      0.534489810386183, 1.32502198166586), PROX_PARK = c(0.251058120460841,      0.248039629274522, 0.486479545769779, 0.486479545769779,      0.443665461164749, 0.594979546415276, 0.464183104254495,      0.728383914708498, 0.852996238213812, 0.516721166595223,      0.551504280527303, 0.997953552798557, 1.00657829367171, 0.826294351272671,      0.624691995850973, 0.604882226694947, 0.375073916060521,      0.706984478917025, 0.290298216204727, 0.202594030185392),          PROX_GOOD_PRISCH = c(0.819366619188368, 0.856849085387122,          0.819356328881161, 0.819356328881161, 0.550324531917386,          0.89296386953394, 0.447003801568155, 0.689163418131917,          1.09467860924251, 0.213708578130609, 0.299143542468678,          1.15731102426836, 1.12709017589061, 0.993301788551023,          0.107363170703005, 0.87937610392538, 0.706117631385061,          0.494123442243702, 1.70706505143727, 0.53169554186008         ), PROX_MALL = c(0.516143411126369, 0.562952549426665,          0.3366209001709, 0.3366209001709, 0.190941194230935,          0.357726596913911, 0.217974225134877, 0.12742430838485,          0.512358501951296, 0.493813340134231, 0.701652802220213,          0.441630162720786, 0.464767570965945, 0.450275200033962,          0.625847194134012, 0.441232897113797, 0.445899708163642,          1.00609620967541, 0.459056401007768, 0.564979440463645         ), PROX_CHAS = c(0.236682264577822, 0.235419924819913,          0.232134688144963, 0.232134688144963, 0.190941257524933,          0.263233285458842, 0.217974279370684, 0.127424254451578,          0.394471723674887, 0.36937911638564, 0.242250716663617,          0.327465416824022, 0.272565000598528, 0.071192987667569,          0.134178633248207, 0.177420148260447, 0.0764125853219005,          0.0862664572880411, 0.111613351644546, 0.204909081807225         ), PROX_SUPERMARKET = c(0.236682533577294, 0.23542039277371,          0.232133828519976, 0.232133828519976, 0.19229406714866,          0.263232243208913, 0.216455869736569, 0.129189539659537,          0.447614574279886, 0.359694409353041, 0.157554225694085,          0.441631117888638, 0.464768447350912, 0.330151298165832,          0.344381560072065, 0.320748009942088, 0.158655939798418,          0.0862669641327853, 0.440050810323431, 0.145410708854306         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 3L, 2L,          1L, 0L, 2L, 2L, 2L, 1L, 1L, 1L, 3L, 0L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(7L, 7L, 5L, 5L, 10L, 6L,          9L, 6L, 3L, 7L, 6L, 1L, 1L, 4L, 3L, 5L, 5L, 8L, 1L, 3L         ), WITHIN_350M_BUS = c(10L, 10L, 11L, 11L, 10L, 15L,          10L, 13L, 12L, 12L, 10L, 13L, 15L, 15L, 8L, 11L, 8L,          8L, 9L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 4L, 4L,          4L, 4L, 4L, 4L, 3L, 2L, 4L, 4L, 4L, 3L, 5L, 5L, 1L, 2L,          3L), DNeighbour = c(0, 49.9892694063487, 259.242592265154,          264.003435055258, 356.405250280715, 362.768825829955,          428.273488505081, 599.416073570634, 611.556488073206,          621.12463225677, 723.213233391419, 767.899474597947,          780.929299944776, 830.159902559307, 910.12133528059,          919.781697882467, 964.052620512732, 1019.46044041144,          1029.84648444148, 1051.99516557481)), row.names = c("614",      "360", "734", "942", "667", "769", "366", "771", "975", "780",      "629", "718", "577", "513", "459", "292", "755", "879", "254",      "189"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.995489076221253,      0.88223287647792, 0.878009466811581, 0.783617032320311, 0.77631280835757,      0.695997669121091, 0.456083614076279, 0.438317191212463,      0.424319205099336, 0.278137533238373, 0.21825631027868, 0.201550473999489,      0.14233673275717, 0.063270197759974, 0.0554896452949472,      0.0256652044167007, 0.00370843412778254, 0.00173594575966402,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1586868868 
R squared (OOB):                  0.04521455 

$Forests[[615]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 340000, 337000,      358000, 333000, 335000, 364000, 375000, 373888, 333000, 333000,      320000, 325000, 320000, 330000, 339000, 350000, 324000, 345000,      313000), floor_area_sqm = c(105, 105, 105, 101, 103, 100,      100, 93, 93, 100, 90, 101, 91, 100, 102, 102, 102, 90, 102,      99), storey_order = c(3L, 1L, 1L, 3L, 1L, 4L, 2L, 5L, 5L,      4L, 2L, 1L, 2L, 4L, 1L, 3L, 4L, 4L, 2L, 4L), remaining_lease_mths = c(960,      956, 947, 960, 953, 930, 921, 993, 990, 928, 1009, 924, 970,      930, 911, 923, 923, 929, 927, 918), PROX_CBD = c(17.6410789876396,      17.6472423100513, 17.5852868111176, 17.5852868111176, 17.7412802518209,      17.9186379864086, 17.9386403893839, 17.8363687874637, 17.8363687874637,      18.2095446148373, 17.8072819651564, 18.0902268845521, 17.7083177660008,      18.242108360018, 18.2320763538069, 17.9456645257603, 18.0569924715364,      18.3448727328387, 18.2868848905217, 17.8728040148932), PROX_ELDERLYCARE = c(0.969292416022308,      1.0260991137238, 0.979721953613503, 0.979721953613503, 1.00357172816211,      1.13507400842797, 0.714833653499633, 1.40920769604983, 1.40920769604983,      1.17430183890643, 1.52664538751384, 0.706169610995159, 0.378187975507624,      1.08331104464233, 0.927534095024191, 0.476454782767532, 0.59750504274373,      1.12000720290482, 0.896456720381782, 0.330981516384048),          PROX_HAWKER = c(0.270187519380927, 0.322354465675231,          0.300047945510982, 0.300047945510982, 0.286367973105455,          0.435091735724103, 0.201936965562497, 0.692541487012902,          0.692541487012902, 0.579651089601917, 0.809141875883089,          0.370412154176866, 0.340346390827249, 0.548257960059823,          0.493410913505403, 0.3648710200987, 0.391180253405874,          0.636376603494217, 0.547085889030319, 0.446535534086157         ), PROX_MRT = c(0.253083991654003, 0.296963624455722,          0.294966346549802, 0.294966346549802, 0.240079810641839,          0.364011265623101, 0.168914117564514, 0.634260663268818,          0.634260663268818, 0.501132314022455, 0.753928873695942,          0.341202563029131, 0.403335562748004, 0.47401652613315,          0.433316978327494, 0.385567417899789, 0.384524332485438,          0.565211037998289, 0.495991449430539, 0.4868918768976         ), PROX_PARK = c(2.26013213847351, 2.2163258228061, 2.22462050149276,          2.22462050149276, 2.28949331488756, 2.31505119222808,          1.99379565561889, 2.04440878541867, 2.04440878541867,          2.25371860749481, 1.93736074272598, 1.8531048262974,          1.86766019581863, 2.12857307310705, 1.96114614265628,          1.76180373116006, 1.77011013021076, 2.08056453235766,          1.86697967968657, 1.69875568186822), PROX_GOOD_PRISCH = c(8.10977708422392,          8.10862356805264, 8.05369522760851, 8.05369522760851,          8.20478390995202, 8.3676789538936, 8.4444135457925, 8.25468587074647,          8.25468587074647, 8.6635222339794, 8.21423979230025,          8.60631027953587, 8.26299778187914, 8.71021480286832,          8.72297519828522, 8.49089982759618, 8.58956131155308,          8.81498363377987, 8.78822500750919, 8.43952013253886),          PROX_MALL = c(0.204458422444813, 0.255877276101632, 0.237472256939882,          0.237472256939882, 0.222110908162432, 0.384238747959315,          0.238372860218233, 0.630636123898788, 0.630636123898788,          0.468966497593582, 0.745769461616378, 0.342860958869265,          0.335143296665789, 0.347669457974494, 0.22704735136933,          0.428159644756295, 0.407254736414821, 0.284195187673565,          0.1450338527091, 0.330972758922268), PROX_CHAS = c(0.201289943337815,          0.212266026856788, 0.145295883687343, 0.145295883687343,          0.222110881748482, 0.360842629752134, 0.076984763134016,          0.221589023831152, 0.221589023831152, 0.3998394205418,          0.195830090979757, 0.209799590563819, 0.30242004444134,          0.274735402884708, 0.11607611654581, 0.218909691095897,          0.222103720735081, 0.24769320941352, 0.0217240252323136,          0.330972805611547), PROX_SUPERMARKET = c(0.204457160029983,          0.255876154174577, 0.237470779768967, 0.237470779768967,          0.222110358133712, 0.360842909613722, 0.171190500184261,          0.22158921197453, 0.22158921197453, 0.402574253870019,          0.265666518411173, 0.342860053820009, 0.332189289926598,          0.347668959247477, 0.227046556279957, 0.365864675212809,          0.385535197909366, 0.284194910851331, 0.145032957963293,          0.300218301814749), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L,          1L, 2L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(5L, 6L,          5L, 5L, 5L, 1L, 6L, 3L, 3L, 2L, 2L, 6L, 6L, 3L, 5L, 3L,          4L, 5L, 7L, 4L), WITHIN_350M_BUS = c(15L, 13L, 15L, 15L,          16L, 11L, 8L, 6L, 6L, 8L, 4L, 7L, 7L, 7L, 10L, 8L, 9L,          8L, 9L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L,          3L, 5L, 3L, 3L, 4L, 3L, 5L, 5L, 4L, 4L, 6L, 6L, 4L, 4L,          7L), DNeighbour = c(0, 55.0159854035643, 60.3744832744266,          62.4144437001953, 100.243774557391, 310.21621755188,          417.951746783283, 467.271498486076, 477.048355903281,          574.323833850888, 575.956559235115, 586.408823889467,          589.247747461372, 604.107018023333, 624.536264026364,          628.17132625175, 640.758291299962, 703.993480108415,          704.140679687677, 715.41862804949)), row.names = c("615",      "554", "800", "224", "242", "590", "638", "118", "391", "243",      "358", "74", "544", "608", "443", "20", "491", "512", "787",      "992"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.988207625590115,      0.985807231009476, 0.984835649127964, 0.961118775053978,      0.659308384814836, 0.43389033560209, 0.328790664338871, 0.308429517997616,      0.126411621148246, 0.123815810626029, 0.107674113851127,      0.103437075048965, 0.0823522792512555, 0.05661071127043,      0.0524561641243171, 0.0391355651914755, 0.00100392137121308,      0.000978422227541575, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       252371847 
R squared (OOB):                  0.2122819 

$Forests[[616]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(520000, 5e+05, 460000,      485000, 465000, 440000, 403000, 430000, 460000, 4e+05, 490000,      510000, 432000, 455000, 545000, 535000, 520000, 455000, 532000,      498000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 92, 92,      92, 92, 95, 92, 93, 93, 93, 93, 93, 92, 96, 93), storey_order = c(5L,      6L, 3L, 2L, 5L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 5L, 5L, 5L, 4L,      4L, 4L, 4L, 2L), remaining_lease_mths = c(1147, 1137, 1138,      1147, 1097, 1142, 1138, 1128, 1137, 1131, 1111, 1136, 1129,      1138, 1127, 1118, 1118, 1133, 1111, 1102), PROX_CBD = c(13.7003463440691,      13.7068457080251, 13.8880322509317, 13.9293604468603, 13.8110145095205,      13.9713915856932, 13.9348601041022, 13.983033341901, 13.9481332653994,      13.9748767742628, 13.7780295697528, 14.0250110126613, 13.4495242740615,      13.5153222954464, 13.8964286142315, 13.8964286142315, 13.7912064237251,      13.5263069451707, 13.8842234613226, 13.8269911518463), PROX_ELDERLYCARE = c(0.434917902994305,      0.409751638237597, 0.250782943854859, 0.234065981952779,      0.2424730747692, 0.226595382415433, 0.122633260073778, 0.0819455196406728,      0.108372417523696, 0.0869602171534455, 0.24280876806526,      0.0392522324995346, 0.226392675254826, 0.128038783583345,      0.28821019895416, 0.28821019895416, 0.194902312085005, 0.13293861465481,      0.284905700992106, 0.272443342502121), PROX_HAWKER = c(1.07570104527527,      1.09574216637781, 0.989318285046145, 0.970053791291438, 0.93957565430704,      0.954180271331751, 0.848294615942255, 0.818439961244233,      0.783686601130967, 0.759405218095962, 0.855348356505915,      0.732915378457501, 1.13086059974118, 1.06471945671836, 0.700607063348248,      0.700607063348248, 0.761066408094757, 1.0232116664491, 0.667389882084889,      0.718894335359525), PROX_MRT = c(0.256932190523524, 0.23189639897339,      0.0905698875540676, 0.101292979723356, 0.110074032088272,      0.128817306959056, 0.066674836544346, 0.0961191462833423,      0.146013494832411, 0.16215489673441, 0.290902656750774, 0.179377644983316,      0.537207200764636, 0.531733722241289, 0.214342865325431,      0.214342865325431, 0.263976344610204, 0.529059791722705,      0.172676244118343, 0.250191496834268), PROX_PARK = c(1.30953091682666,      1.30108171005294, 1.13098813526459, 1.10248671215858, 1.12286028608686,      1.07610116952693, 1.01289159319472, 0.973290645087517, 0.964943529987853,      0.93793434477989, 1.08412864631293, 0.898948825756494, 1.14705623529365,      1.12627074536918, 0.945155408432775, 0.945155408432775, 1.03946212768551,      1.00320858387115, 0.946790994443363, 1.00953333913803), PROX_GOOD_PRISCH = c(4.10033714204368,      4.11427377683663, 4.29841605508598, 4.33684280477295, 4.2580170038876,      4.37541592083903, 4.3780728039611, 4.42376284483209, 4.41058426346667,      4.4381077472328, 4.27934963146811, 4.48326906164864, 3.97306691053722,      4.05859518452173, 4.42474408393319, 4.42474408393319, 4.37243865161908,      4.12550653324601, 4.46427355245829, 4.43409233459216), PROX_MALL = c(0.816725098938654,      0.786897805640679, 0.648384322611893, 0.634323955575517,      0.585854127158584, 0.625072347077181, 0.500682206465503,      0.475935346664486, 0.431747484707969, 0.408666125180857,      0.507308338763366, 0.387952579177684, 0.817008429043632,      0.741140095950697, 0.36232957329041, 0.36232957329041, 0.47180896375681,      0.734460127270614, 0.384398044205003, 0.464449368072494),          PROX_CHAS = c(0.0738696133860389, 0.0683167852462459,          0.0495611607390083, 0.0456516508281062, 0.123846030022364,          0.0752462089475253, 3.70448785353559e-08, 0.0483941894268844,          0.0812590805558053, 0.0955424375353944, 0.246000912873009,          0.116095717847762, 0.142936854782623, 0.0484693686848179,          0.190952462752685, 0.190952462752685, 3.14247486029477e-08,          0.164485608616764, 0.0936868185767241, 0.093713435160417         ), PROX_SUPERMARKET = c(0.0738703098972174, 0.0683172333971998,          0.0495614942866338, 0.04565204632056, 0.157551778944521,          0.0752464841458058, 0.112910168339451, 0.123899374628808,          0.194128300134642, 0.205979542456043, 0.271122867675942,          0.21237786594893, 0.417643104955167, 0.321659607097496,          0.190953240917096, 0.190953240917096, 8.52808058992138e-07,          0.265115106421715, 0.093687407280864, 0.0937132175773042         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 1L, 1L,          2L, 2L, 2L, 2L, 1L, 2L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 3L, 4L, 3L, 5L,          5L, 4L, 3L, 4L, 4L, 5L, 3L, 4L, 4L, 4L, 4L, 5L, 3L, 5L         ), WITHIN_350M_BUS = c(13L, 14L, 11L, 11L, 12L, 11L,          11L, 11L, 7L, 6L, 9L, 9L, 5L, 6L, 9L, 9L, 8L, 2L, 7L,          8L), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 4L, 6L, 4L, 4L, 5L, 5L, 5L, 5L, 6L, 5L, 5L),          DNeighbour = c(0, 40.7886056051224, 203.500341212715,          236.587684537552, 245.746996115588, 278.920543771778,          322.172660908231, 348.732794471307, 382.969780663606,          405.813154795562, 422.361469806265, 437.02526148519,          510.249344006557, 547.56149138066, 563.362266337343,          563.586376100786, 696.783164086905, 713.877753715864,          725.829708868789, 789.223546075242)), row.names = c("616",      "863", "662", "21", "645", "361", "356", "710", "34", "690",      "282", "8", "988", "183", "442", "760", "420", "779", "670",      "376"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994665088088008,      0.871448385110797, 0.82834812062992, 0.815487789178873, 0.765800764709608,      0.694490140674516, 0.647626564123417, 0.584511624979416,      0.541115668484469, 0.50922919153968, 0.480763550660376, 0.338736815526391,      0.268992359397024, 0.240554280662864, 0.240156703145111,      0.0486367860769634, 0.0330593548903014, 0.0237765995408117,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1177952997 
R squared (OOB):                  0.3730738 

$Forests[[617]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(338000, 295000, 340000,      342000, 3e+05, 358000, 358000, 410000, 370000, 447888, 443000,      462000, 334008, 445000, 345000, 459000, 382000, 318000, 430000,      335000), floor_area_sqm = c(104, 84, 103, 106, 84, 103, 104,      101, 102, 93, 93, 93, 103, 93, 90, 93, 93, 90, 92, 102),          storey_order = c(2L, 4L, 3L, 3L, 2L, 4L, 4L, 3L, 3L,          5L, 5L, 5L, 2L, 4L, 5L, 4L, 1L, 3L, 5L, 4L), remaining_lease_mths = c(818,          804, 819, 822, 796, 815, 815, 936, 927, 1137, 1134, 1134,          917, 1133, 937, 1138, 1111, 968, 1137, 940), PROX_CBD = c(13.540845499052,          13.4836212956012, 13.4421606987754, 13.4005544783984,          13.0363382428153, 13.3358607953132, 14.0960645211931,          13.8911800577968, 14.12564920201, 14.1475961545785, 14.1475961545785,          14.1475961545785, 14.2719972222741, 14.1149653809405,          14.2787185061121, 14.1715462602585, 14.29200158436, 14.1338242827509,          14.2919055230493, 14.4474740114555), PROX_ELDERLYCARE = c(2.00347240504871,          1.90290557072286, 2.21821379350418, 1.97051284494128,          2.32849407054544, 1.82755511634294, 1.70531999087377,          1.40411939431899, 1.44816412197145, 2.03155968851809,          2.03155968851809, 2.03155968851809, 1.50921581969441,          2.12564955085825, 1.77826193055387, 2.09595649451453,          2.00367987562091, 2.28550514148655, 2.08663557441472,          1.50338082315219), PROX_HAWKER = c(0.326481146247567,          0.2119534509789, 0.414492581023045, 0.12929497730436,          0.273412421583494, 0.304539750383927, 0.845358517598031,          0.687446499339865, 0.778468578249857, 1.0452124348096,          1.0452124348096, 1.0452124348096, 0.684102697062058,          1.06810792734919, 0.865181709866835, 1.11030496241672,          1.05572120633707, 1.19906286300234, 1.13160866269818,          0.588144724666333), PROX_MRT = c(0.080163548628182, 0.193711088781655,          0.190553770403229, 0.190014195795526, 0.403045881609603,          0.127895121346052, 0.217341234217998, 0.241174931861397,          0.476637705223286, 0.206896355650083, 0.206896355650083,          0.206896355650083, 0.347262283963267, 0.282489779359316,          0.14195902454703, 0.236487582928319, 0.129588785375857,          0.414064606154384, 0.215635082050947, 0.224566301285939         ), PROX_PARK = c(0.80961064190221, 0.646728518696572,          0.89429546385096, 0.588173355458052, 0.517161111062201,          0.385477438930733, 1.27300714898888, 0.90249149706597,          1.20701221478007, 1.52292224478236, 1.52292224478236,          1.52292224478236, 1.38760566459916, 1.55223981690243,          1.51686048726609, 1.59201213147604, 1.659682039687, 1.68789157401301,          1.71136953372848, 1.55939681176166), PROX_GOOD_PRISCH = c(4.71745369301481,          4.5626858677187, 4.75420572996722, 4.50146177611143,          4.29037325314161, 4.27184313218833, 5.17863906457975,          4.74545729482833, 5.06260566207177, 5.43570837857945,          5.43570837857945, 5.43570837857945, 5.26118802945754,          5.45814117537329, 5.42826997650874, 5.50129862889456,          5.57470277830303, 5.57754198399205, 5.62322031775431,          5.45861643017911), PROX_MALL = c(0.403528889272069, 0.551151307820263,          0.472918799427377, 0.610989928852924, 0.898390579507312,          0.761223886000054, 0.243284841315127, 0.267645090747045,          0.287395381957405, 0.329425359540921, 0.329425359540921,          0.329425359540921, 0.108121271181015, 0.377565489031552,          0.338911837083335, 0.405991175981987, 0.462705775504015,          0.547412994688805, 0.517951444315281, 0.12145856762689         ), PROX_CHAS = c(0.253510567884045, 0.229483689413426,          0.291197842200049, 0.158416400393545, 0.170237474205233,          0.267020330020893, 0.132339190026647, 0.241761013919413,          0.182188888557241, 0.188783823394846, 0.188783823394846,          0.188783823394846, 0.108121286081234, 0.179884741524278,          0.18872293939054, 0.12657377242065, 0.0888572682655253,          0.219091723429967, 3.54155757628082e-08, 0.121458549123021         ), PROX_SUPERMARKET = c(0.1865280595431, 0.191700628396676,          0.249308161339926, 0.139889213791387, 0.322492439389486,          0.442772380644983, 0.226949559622758, 0.315435463566428,          0.277268812686258, 0.235757849482592, 0.235757849482592,          0.235757849482592, 0.105248463653719, 0.299769914037237,          0.188722783027928, 0.248308073473709, 0.124391003677116,          0.41091265647621, 0.199383936085002, 0.134916350552101         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 1L, 1L, 2L, 2L,          1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 2L, 4L, 3L, 2L,          7L, 3L, 3L, 6L, 6L, 6L, 4L, 6L, 6L, 5L, 5L, 3L, 5L, 5L         ), WITHIN_350M_BUS = c(11L, 12L, 6L, 10L, 4L, 9L, 9L,          15L, 10L, 6L, 6L, 6L, 10L, 5L, 8L, 5L, 5L, 3L, 4L, 11L         ), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 3L, 3L, 5L,          5L, 5L, 4L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 3L, 3L, 5L),          DNeighbour = c(0, 192.949265946354, 219.060207034217,          226.33417973397, 505.732175218783, 524.215887067526,          556.736384410425, 601.72946498169, 639.255428968588,          719.240872376618, 719.540022878408, 722.727182946076,          739.855028607322, 748.660178021354, 757.202373194809,          790.396633866026, 864.252355249586, 879.57052870427,          909.569424629991, 912.590955545942)), row.names = c("617",      "681", "123", "859", "62", "475", "880", "599", "703", "623",      "966", "207", "381", "519", "329", "277", "989", "120", "267",      "826"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.912592894822892,      0.888079711045669, 0.880762884687703, 0.480101558632859,      0.448946737381033, 0.394164562267925, 0.319495515525684,      0.259408965208933, 0.143527422052228, 0.1431361010193, 0.138990167635947,      0.11746683099453, 0.106926890381291, 0.097064184735186, 0.0624338871041847,      0.0106360841242337, 0.00504911199388846, 4.37041463896509e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1741436248 
R squared (OOB):                  0.4245081 

$Forests[[618]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 420000, 385000,      365000, 355000, 418000, 399000, 395000, 423000, 411000, 410000,      415000, 390000, 440000, 380000, 625000, 425000, 415000, 420000,      415000), floor_area_sqm = c(84, 103, 102, 103, 84, 84, 102,      103, 104, 104, 84, 108, 109, 104, 105, 94, 104, 103, 105,      108), storey_order = c(2L, 2L, 3L, 1L, 3L, 3L, 3L, 4L, 2L,      1L, 4L, 3L, 1L, 3L, 1L, 3L, 4L, 2L, 2L, 2L), remaining_lease_mths = c(806,      757, 755, 757, 804, 821, 766, 772, 827, 806, 814, 904, 908,      752, 775, 1085, 775, 768, 787, 891), PROX_CBD = c(13.3385512116162,      13.2614515751509, 13.2614515751509, 13.0970803497533, 13.01786092695,      13.3325431063631, 13.0078000734933, 13.1724132817366, 13.4971436153267,      13.1755942624772, 12.8927390133383, 13.7944980809676, 13.9032473641583,      13.1913836000948, 12.8173662852819, 13.3230141016287, 13.5598735525989,      13.0537205387581, 12.7549887608908, 13.8459786715751), PROX_ELDERLYCARE = c(1.09997831443452,      0.99636081833896, 0.99636081833896, 0.830352740740998, 0.807586217367385,      1.22529955141455, 0.748101088186933, 0.906244923447749, 1.36472832701396,      1.08363260419178, 0.702153634905252, 0.91518434198946, 1.01451296282065,      0.779182108791446, 0.548539301056628, 1.40693910044933, 0.555470204987842,      0.569472877275307, 0.556485595404089, 0.429452782693922),          PROX_HAWKER = c(1.2578245237404, 1.14030290242306, 1.14030290242306,          0.973651338137405, 0.976719939584195, 1.40113048988486,          0.90031621758677, 1.03184370064912, 1.53740682378418,          1.26154745049637, 0.876276656944215, 1.66782294138278,          1.79397933605035, 1.05769292681279, 0.687183343617196,          1.58753442345041, 1.44869421276883, 0.963287544217337,          0.627642822312809, 1.71981564227335), PROX_MRT = c(0.602718547061467,          0.667490524156887, 0.667490524156887, 0.602819058882962,          0.343251427728879, 0.481797794839233, 0.513893198964272,          0.712767869041386, 0.586728597341744, 0.324849533681113,          0.279401054335897, 0.658832763416297, 0.800124130005956,          0.577154139562059, 0.607087114668938, 0.336472807994142,          0.172867375742438, 0.551410176707671, 0.561554903993597,          0.2084775132707), PROX_PARK = c(0.569772965965399, 0.758867978246924,          0.758867978246924, 0.879464356596765, 0.656436399769765,          0.354623255285983, 0.842333894517479, 0.94305137750942,          0.212766960501703, 0.447685878226129, 0.620470631841848,          0.645156432286565, 0.561902145555774, 1.12092772213378,          0.953457314885518, 0.286498275370587, 1.16233583500127,          0.974634241933185, 1.16122098497616, 1.1446906726086),          PROX_GOOD_PRISCH = c(2.07907555576542, 1.91909050044553,          1.91909050044553, 1.76550469910092, 1.85318585541752,          2.29474127216967, 1.72660166123773, 1.76071721252525,          2.41235725048041, 2.16883728054707, 1.774803188623, 2.39271928635374,          2.54268815221988, 1.6842887316892, 1.5016146113424, 2.51508960065264,          1.97663004084467, 1.48818847749708, 1.29435567579286,          2.27101821651052), PROX_MALL = c(0.668924040978838, 0.72813233212774,          0.72813233212774, 0.655283448157635, 0.400117032043626,          0.542371475290289, 0.5620231960968, 0.808064657998832,          0.707673546664446, 0.386525633611572, 0.322264379768498,          1.14990641994387, 1.19892197022629, 0.813382909306435,          0.635314033644823, 0.614219522084071, 1.05810160080284,          0.593340478429386, 0.542723135774117, 1.35153556565047         ), PROX_CHAS = c(0.191227179226131, 0.255705601713763,          0.255705601713763, 0.10733838099953, 0.191102980152323,          0.059226360432522, 1.4078617678234e-08, 0.253073540027742,          0.13417187150752, 0.194419509978617, 0.241407331054591,          0.17469359838053, 0.278906060515125, 0.19044114280624,          0.149554006756045, 0.389026612692193, 0.180657994610612,          0.203693673714882, 0.144180959238343, 0.345234103044859         ), PROX_SUPERMARKET = c(0.444314653432489, 0.336474046543398,          0.336474046543398, 0.176189281490626, 0.230446816430876,          0.542367678587035, 0.0851968725918189, 0.263318229535236,          0.707669264145537, 0.386520309138909, 0.234452518543083,          0.357404112790227, 0.357092891009527, 0.190441743522314,          0.14719471752053, 0.614233853755243, 0.180658044884504,          0.349948262987797, 0.150188458093997, 0.426625283183798         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 2L, 1L, 3L, 0L,          2L, 1L, 0L, 1L, 2L, 1L, 0L, 3L, 3L, 1L, 2L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 2L, 1L, 2L, 6L,          2L, 3L, 5L, 5L, 4L, 3L, 2L, 4L, 2L, 5L, 3L, 2L, 3L, 3L         ), WITHIN_350M_BUS = c(5L, 6L, 6L, 4L, 5L, 10L, 6L, 6L,          7L, 12L, 4L, 7L, 7L, 8L, 5L, 10L, 11L, 8L, 7L, 12L),          WITHIN_1KM_PRISCH = c(5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 4L, 4L, 3L, 5L, 5L, 1L, 6L, 6L, 5L, 5L), DNeighbour = c(0,          192.118251216769, 194.177520953267, 324.051749700144,          331.446068524211, 367.339968821302, 368.901521709628,          375.251056524303, 387.370136450801, 395.844578217053,          454.110984728066, 487.865168172203, 563.13763813284,          569.924819770978, 584.614066251357, 701.807774904083,          756.536577395751, 782.162596961036, 799.802740848411,          827.648855476267)), row.names = c("618", "753", "473",      "597", "789", "565", "103", "225", "353", "131", "493", "542",      "113", "229", "523", "559", "564", "541", "215", "970"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.895138963713774, 0.892942876584627, 0.71690426785248, 0.704972102082666,      0.644825095245695, 0.64213243464103, 0.631125136341435, 0.609869684714492,      0.594829762435456, 0.488537744460845, 0.425805766768086,      0.28841951493316, 0.27648704997642, 0.251063471250558, 0.0789468371371342,      0.0270468528762803, 0.0114268356406744, 0.00437684230115603,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2946228147 
R squared (OOB):                  0.04511636 

$Forests[[619]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(1038000, 1023801,      830000, 890000, 643888, 1056800, 1110000, 755000, 7e+05,      685000, 753000, 620000, 748000, 476000, 475000, 537000, 945500,      912000, 680000, 5e+05), floor_area_sqm = c(95, 95, 94, 93,      83, 95, 94, 90, 93, 93, 87, 103, 107, 103, 103, 106, 87,      87, 91, 103), storey_order = c(13L, 13L, 9L, 2L, 4L, 16L,      17L, 2L, 1L, 4L, 5L, 2L, 2L, 2L, 2L, 4L, 8L, 3L, 3L, 1L),          remaining_lease_mths = c(1088, 1085, 1088, 1079, 721,          1081, 1086, 983, 625, 1115, 1104, 911, 899, 774, 781,          760, 1143, 1142, 984, 773), PROX_CBD = c(1.6109563636452,          1.64296215322618, 1.64296215322618, 1.67386574810093,          1.53899731723416, 1.77209924777956, 1.77209924777956,          2.01305703462688, 2.09358084499411, 2.56060478168524,          2.5775653440094, 2.86182045335715, 2.52364731081334,          3.09516181063763, 3.09516181063763, 3.12641734116327,          2.51922626320824, 2.51922626320824, 2.86455481676114,          3.24578829573265), PROX_ELDERLYCARE = c(0.267363987874465,          0.294850727643248, 0.294850727643248, 0.177855560288099,          0.194322059338883, 0.140516738363648, 0.140516738363648,          0.301111196915018, 0.442569764285143, 0.303984777605612,          0.283170941801308, 0.334062202372697, 0.132133546591398,          0.614909460801077, 0.614909460801077, 0.570344367187993,          1.25853619714168e-06, 1.25853619714168e-06, 0.111411798512938,          0.461566734593474), PROX_HAWKER = c(0.235977344459711,          0.280083683397779, 0.280083683397779, 0.190132187507835,          0.0778854840685767, 0.23052169920376, 0.23052169920376,          0.439754799726314, 0.103399879312882, 0.450094806637729,          0.447120961378381, 0.231089093207534, 0.315417458803045,          0.524942013349153, 0.524942013349153, 0.582032517556358,          0.187177165934232, 0.187177165934232, 0.302651224916382,          0.461305554076076), PROX_MRT = c(0.29771914919713, 0.262926729358016,          0.262926729358016, 0.379670718067057, 0.338341879948785,          0.454819638815125, 0.454819638815125, 0.650763936895186,          0.681532284353367, 0.546591463865751, 0.499107329029013,          0.819080841065402, 0.277076743329557, 1.19880844528061,          1.19880844528061, 1.19588154804183, 0.243725266054354,          0.243725266054354, 0.391395986196982, 1.11057161001852         ), PROX_PARK = c(0.367398542795172, 0.366095429090919,          0.366095429090919, 0.464667269713551, 0.431332248643832,          0.568364566172339, 0.568364566172339, 0.806729342800227,          0.400473707610266, 0.21329655328302, 0.18481391877062,          0.609617368578913, 0.163253442595557, 0.971409228458194,          0.971409228458194, 0.971029675538415, 0.28862748451296,          0.28862748451296, 0.399002951856213, 0.856773721705297         ), PROX_GOOD_PRISCH = c(6.05683769533381, 6.02306971378175,          6.02306971378175, 6.13913327172338, 6.20754086879516,          6.2014068010071, 6.2014068010071, 6.32589195448141, 4.81109980295855,          4.93746215949662, 4.89009258041755, 5.1514664212482,          4.61812725480087, 5.46565510857314, 5.46565510857314,          5.52416256345089, 4.50145006484821, 4.50145006484821,          4.71207116352008, 5.51078547454581), PROX_MALL = c(0.415453175187746,          0.44820920236387, 0.44820920236387, 0.332985789848242,          0.293332886646226, 0.293469301127063, 0.293469301127063,          0.368960166061844, 0.685370188976197, 0.572150632107275,          0.524781909718914, 0.848351644608041, 0.290995843291254,          1.2281628510896, 1.2281628510896, 1.29251563056945, 0.244046547559164,          0.244046547559164, 0.420489734799516, 1.33172083977874         ), PROX_CHAS = c(0.0860247998100326, 0.0951865321113252,          0.0951865321113252, 0.0280349864391529, 0.0279718763032621,          0.116110892529562, 0.116110892529562, 0.298496878246672,          0.165994533154508, 0.0640474788759872, 0.0301364724824846,          0.159666076311523, 0.0122221533760307, 0.240903750709302,          0.240903750709302, 0.202999736112437, 0.0462846720247782,          0.0462846720247782, 0.110042750971165, 0.0869328465249217         ), PROX_SUPERMARKET = c(0.248046397132554, 0.28799517805095,          0.28799517805095, 0.185142915152075, 0.114546579488019,          0.203860721712114, 0.203860721712114, 0.364789845186166,          0.346795592234613, 0.315915165677582, 0.275738565320567,          0.360029455717415, 0.0373112013983995, 0.240902416159861,          0.240902416159861, 0.202998478162502, 0.169442491353445,          0.169442491353445, 0.110042446678578, 0.0869315055470345         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 7L, 8L, 7L,          7L, 4L, 4L, 4L, 4L, 3L, 6L, 2L, 2L, 2L, 4L, 4L, 4L, 2L         ), WITHIN_350M_BUS = c(11L, 9L, 9L, 9L, 9L, 10L, 10L,          10L, 7L, 3L, 3L, 4L, 6L, 4L, 4L, 5L, 4L, 4L, 7L, 6L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 4L, 2L), DNeighbour = c(0,          46.3999138976703, 46.9956627691463, 101.102537838565,          181.128845748427, 197.536023423293, 202.158298268929,          446.447965348978, 1256.83264430233, 1392.57022528275,          1433.24498088435, 1522.81593262428, 1571.57016038178,          1625.37392488306, 1625.52439576728, 1640.27291390447,          1648.79770280496, 1656.86389214031, 1734.4605566238,          1757.73961719179)), row.names = c("619", "91", "850",      "10", "524", "509", "321", "567", "824", "390", "999", "561",      "65", "126", "134", "48", "816", "550", "968", "192"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998606830616122, 0.998570838796607, 0.993394190766546,      0.978875608115705, 0.974900655084728, 0.973720189551289,      0.875139991649517, 0.23886217742407, 0.13863634866816, 0.112317207192591,      0.0622200326334445, 0.0402445532347962, 0.0210070879147783,      0.0209612185810257, 0.0166901925849317, 0.0144277345252339,      0.0124289871235992, 0.000692326562767506, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       26142282424 
R squared (OOB):                  0.3492792 

$Forests[[620]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 4e+05, 350000,      4e+05, 340000, 375000, 377000, 350000, 390000, 385000, 390000,      368888, 350000, 390000, 412000, 380000, 4e+05, 395000, 368000,      370000), floor_area_sqm = c(92, 92, 104, 92, 92, 92, 92,      92, 93, 92, 92, 92, 92, 92, 92, 93, 96, 93, 92, 92), storey_order = c(4L,      3L, 3L, 4L, 2L, 1L, 2L, 1L, 3L, 3L, 2L, 2L, 1L, 4L, 3L, 3L,      2L, 4L, 2L, 1L), remaining_lease_mths = c(1133, 1136, 812,      1142, 1133, 1139, 1135, 1131, 1113, 1132, 1128, 1102, 1111,      1142, 1128, 1110, 1098, 1108, 1100, 1090), PROX_CBD = c(14.7615340778399,      14.7935232496013, 14.8739209120931, 14.8350589102573, 14.8395197777251,      14.8395197777251, 14.5662038835035, 14.6346875310408, 14.6879879340018,      14.9536689261967, 14.5136499050456, 14.8482953663728, 14.8482953663728,      14.5596883563906, 14.5596883563906, 14.607628567626, 15.0414874321427,      14.6649260398624, 14.9752079088984, 15.0414874321427), PROX_ELDERLYCARE = c(0.301679225956583,      0.348662381557687, 0.224374856243457, 0.366071958673004,      0.143171284390361, 0.143171284390361, 0.396119369193007,      0.318998242024868, 0.267910637295867, 1.13414610370389e-06,      0.440212280139716, 0.157028625587627, 0.157028625587627,      0.399519357429504, 0.399519357429504, 0.363539264939185,      0.180026828914976, 0.374463671675583, 0.199763345782594,      0.180026828914976), PROX_HAWKER = c(0.582527401679673, 0.61938764744993,      0.490895901627697, 0.625406547060166, 0.426817039061835,      0.426817039061835, 0.661743266121302, 0.567748890704442,      0.507741768149319, 0.283688306330561, 0.681591249319273,      0.332945546865787, 0.332945546865787, 0.625641729464286,      0.625641729464286, 0.571839614015762, 0.135868389364205,      0.515424723672587, 0.202333554334061, 0.135868389364205),          PROX_MRT = c(1.75082728996661, 1.80023823132094, 1.67344316225132,          1.81204065654847, 1.58589972239689, 1.58589972239689,          1.61118001364451, 1.53691575721219, 1.51619569366002,          1.45204946878565, 1.51230084146916, 1.41585626072206,          1.41585626072206, 1.46473462254762, 1.46473462254762,          1.42703012637354, 1.27219969611937, 1.31347134818138,          1.27457972333389, 1.27219969611937), PROX_PARK = c(0.739209778966795,          0.794674698621811, 0.671840643384197, 0.813480610745631,          0.573834160005083, 0.573834160005083, 0.741043428920938,          0.633519966923, 0.573128508978659, 0.447466290733612,          0.723946747094916, 0.40224168015695, 0.40224168015695,          0.656743209310805, 0.656743209310805, 0.592644125813336,          0.270313948020077, 0.48594234877488, 0.259935562114549,          0.270313948020077), PROX_GOOD_PRISCH = c(5.53447364393692,          5.58881641790013, 5.63420261242257, 5.6396253746677,          5.56483468018996, 5.56483468018996, 5.30307595814772,          5.34297669438126, 5.38500296681299, 5.64958645026222,          5.22451833965112, 5.51627049340211, 5.51627049340211,          5.25302892838613, 5.25302892838613, 5.28617698570013,          5.69200203864946, 5.30673314037113, 5.6171537261999,          5.69200203864946), PROX_MALL = c(0.897398400321744, 0.980189305249844,          0.927972955155417, 1.03026167893405, 0.805396060532061,          0.805396060532061, 0.69438942428714, 0.633302242537752,          0.626246838364162, 0.806257336881612, 0.591658790399046,          0.649229394533883, 0.649229394533883, 0.550646738699849,          0.550646738699849, 0.523782484457491, 0.767711199656331,          0.439421746266814, 0.689421511186311, 0.767711199656331         ), PROX_CHAS = c(0.166975848000366, 0.244316778428722,          0.25243947150411, 0.298721071991625, 0.204546662914522,          0.204546662914522, 0.0799578054615725, 0.120955806912261,          0.160113448728027, 0.14456617920399, 0.179710137259641,          0.274130336331615, 0.274130336331615, 0.19650938121062,          0.19650938121062, 0.198893245072118, 0.163757574589084,          0.0969357032130768, 0.230775629929228, 0.163757574589084         ), PROX_SUPERMARKET = c(0.408349928269047, 0.416104879739584,          0.298947211163532, 0.402632437071234, 0.280088374069707,          0.280088374069707, 0.41943325951703, 0.327836032489634,          0.300165340388346, 0.16127040484797, 0.343491998264143,          0.296829834724774, 0.296829834724774, 0.27843134046436,          0.27843134046436, 0.223766299699327, 0.197268674737732,          0.0969351949685631, 0.264202614673064, 0.197268674737732         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 3L, 2L, 5L, 5L,          3L, 6L, 6L, 7L, 4L, 5L, 5L, 3L, 3L, 4L, 4L, 6L, 4L, 4L         ), WITHIN_350M_BUS = c(4L, 6L, 6L, 6L, 5L, 5L, 6L, 8L,          7L, 6L, 6L, 9L, 9L, 7L, 7L, 7L, 9L, 8L, 9L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 4L,          4L, 3L, 4L, 3L, 3L), DNeighbour = c(0, 84.7567210168185,          114.26117700333, 131.158549612837, 164.465326013978,          166.212577617161, 246.13969727742, 270.229643366718,          276.309555689436, 302.277508708478, 343.761644525077,          352.567987353386, 355.56392637052, 357.78304976229, 362.009389267737,          377.958656042126, 479.737611080492, 480.490766658151,          481.999966198729, 484.141131016476)), row.names = c("620",      "478", "602", "27", "543", "152", "368", "583", "469", "139",      "706", "195", "762", "163", "961", "452", "632", "17", "558",      "793"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.939642999759785,      0.891702918533459, 0.858602220517312, 0.782517662610062,      0.778162662049247, 0.549858602356835, 0.473969072420033,      0.454650057278668, 0.372315699458499, 0.245854439143808,      0.220594959547947, 0.212174689557054, 0.205998514878659,      0.194385753057994, 0.152522123057816, 0.00032791162732013,      0.000225687625126841, 7.78920956276058e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       570614240 
R squared (OOB):                  -0.1953925 

$Forests[[621]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 445000, 430000,      450000, 420000, 425000, 395000, 438000, 431000, 432000, 420000,      440000, 436000, 435000, 456500, 425000, 460000, 418000, 420000,      415000), floor_area_sqm = c(93, 94, 92, 94, 94, 94, 94, 94,      92, 92, 92, 92, 92, 92, 92, 94, 92, 92, 92, 92), storey_order = c(9L,      6L, 6L, 7L, 7L, 6L, 4L, 5L, 7L, 6L, 5L, 8L, 7L, 2L, 8L, 5L,      7L, 6L, 6L, 8L), remaining_lease_mths = c(1136, 1109, 1126,      1119, 1120, 1119, 1113, 1076, 1138, 1137, 1132, 1142, 1139,      1128, 1144, 1083, 1125, 1129, 1142, 1140), PROX_CBD = c(12.1741021183779,      12.1122271384014, 12.0797672032522, 12.0119641769274, 12.0119641769274,      11.9828723130509, 11.9744040829633, 11.9414743986494, 11.9317097346946,      11.9317097346946, 12.042332185553, 12.042332185553, 12.042332185553,      12.042332185553, 11.9527102757424, 11.8751655684431, 12.02897658153,      12.02897658153, 12.02897658153, 12.02897658153), PROX_ELDERLYCARE = c(0.519600844901231,      0.629785153682861, 0.550577233037288, 0.673044116243487,      0.673044116243487, 0.710325725805382, 0.738781707341689,      0.687500817542951, 0.680106913101551, 0.680106913101551,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.819362766143575, 0.727329111385366,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.841755023464642), PROX_HAWKER = c(0.375471053349032, 0.337796349528525,      0.286867197183981, 0.222580914455278, 0.222580914455278,      0.20448046373977, 0.217370340361849, 0.147098227142532, 0.161367564791002,      0.161367564791002, 0.369655971945997, 0.369655971945997,      0.369655971945997, 0.369655971945997, 0.27814297307049, 0.145379780608352,      0.409616357379742, 0.409616357379742, 0.409616357379742,      0.409616357379742), PROX_MRT = c(0.338849049026276, 0.302747284955937,      0.285059794417971, 0.201095784108649, 0.201095784108649,      0.170867756883987, 0.167322140356011, 0.183575431830776,      0.214149342621172, 0.214149342621172, 0.298263347673859,      0.298263347673859, 0.298263347673859, 0.298263347673859,      0.200702114351669, 0.191731142133254, 0.331072457322778,      0.331072457322778, 0.331072457322778, 0.331072457322778),          PROX_PARK = c(0.612679613149166, 0.576425078157325, 0.747342190235743,          0.691047645736797, 0.691047645736797, 0.697136724289492,          0.679906922269617, 0.807374064658721, 0.785212145526225,          0.785212145526225, 0.542226246468638, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.643017670933737,          0.723512884628395, 0.529446955515876, 0.529446955515876,          0.529446955515876, 0.529446955515876), PROX_GOOD_PRISCH = c(2.45580221931744,          2.408030235171, 2.35145083667271, 2.29976812492723, 2.29976812492723,          2.27447890050516, 2.27223739349538, 2.21615815400514,          2.20126444296921, 2.20126444296921, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.270018309959, 2.14229157607785, 2.36775586018775, 2.36775586018775,          2.36775586018775, 2.36775586018775), PROX_MALL = c(0.416829357908565,          0.350899017798137, 0.356578632219481, 0.251262654177611,          0.251262654177611, 0.220402811054307, 0.214069216816763,          0.22663965361209, 0.255684281538694, 0.255684281538694,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.332547569579886, 0.232344363503357, 0.249449426365425,          0.358721564938295, 0.358721564938295, 0.358721564938295,          0.358721564938295), PROX_CHAS = c(0.0461624602204791,          0.0703863092474096, 0.146949814741425, 0.131248018016709,          0.131248018016709, 0.0995919009989899, 0.0939357367291076,          0.156140837156126, 0.203726500797623, 0.203726500797623,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.236223262451169, 0.146038815472653, 0.179410689617013,          0.25157977989641, 0.25157977989641, 0.25157977989641,          0.25157977989641), PROX_SUPERMARKET = c(0.427183407476201,          0.360308355053667, 0.315486318912089, 0.261515416493987,          0.261515416493987, 0.230351837454113, 0.22318738818849,          0.236998053946951, 0.217804588957955, 0.217804588957955,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.33849828517841, 0.237998550380205, 0.179159947933279,          0.314501000490003, 0.314501000490003, 0.314501000490003,          0.314501000490003), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L,          1L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(7L, 7L,          5L, 6L, 6L, 6L, 7L, 6L, 6L, 6L, 4L, 4L, 4L, 4L, 5L, 7L,          4L, 4L, 4L, 4L), WITHIN_350M_BUS = c(5L, 7L, 9L, 6L,          6L, 7L, 10L, 8L, 8L, 8L, 10L, 10L, 10L, 10L, 12L, 6L,          11L, 11L, 11L, 11L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L,          3L, 3L, 3L), DNeighbour = c(0, 108.20115870369, 136.030377748854,          164.037905018222, 170.08530186671, 197.13996804811, 217.115307613136,          244.771776587632, 270.729246184326, 274.584683554119,          277.878285656791, 280.444198606017, 281.027278899757,          281.18087832135, 297.611411250093, 337.653015297434,          338.920701293191, 339.808008845316, 341.866997164781,          342.847188706572)), row.names = c("621", "607", "900",      "947", "167", "203", "858", "781", "613", "392", "634", "16",      "573", "908", "749", "250", "874", "700", "318", "287"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.810718797386528, 0.709934511500265, 0.594561516668018,      0.568347462374939, 0.448050162054279, 0.358761918309986,      0.240386193803044, 0.141716895143751, 0.128570153552223,      0.117708502776471, 0.109494090523941, 0.107658614908398,      0.107177051528064, 0.0607496626081099, 0.000904246919623275,      0.000518655675250426, 0.00031153958510408, 3.26015449920026e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       327607489 
R squared (OOB):                  -0.3201189 

$Forests[[622]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(480000, 446000, 445000,      680000, 638000, 520000, 680000, 545000, 650000, 515000, 450000,      409500, 418000, 838000, 538000, 760000, 815000, 515000, 582000,      560000), floor_area_sqm = c(94, 94, 84, 76, 105, 107, 86,      86, 86, 110, 104, 84, 84, 91, 90, 91, 91, 84, 104, 105),          storey_order = c(6L, 2L, 3L, 11L, 3L, 2L, 3L, 1L, 3L,          1L, 1L, 3L, 3L, 12L, 5L, 9L, 11L, 4L, 3L, 2L), remaining_lease_mths = c(725,          723, 647, 1071, 918, 892, 1025, 1025, 1018, 859, 828,          807, 804, 1106, 995, 1091, 1109, 804, 935, 913), PROX_CBD = c(4.50933618399607,          4.45295385586978, 4.82546817648507, 5.17664618337401,          5.24252163748666, 4.23142849537126, 5.19905620756448,          5.19905620756448, 5.26278746968545, 5.31333197008925,          5.12061996426338, 4.20973993763024, 4.20973993763024,          5.38577040159704, 4.4759193492502, 5.4124717534787, 5.46273996086224,          3.75781957676323, 5.4901102241405, 3.91005014077452),          PROX_ELDERLYCARE = c(0.665866395733666, 0.645271528549996,          0.401252043911139, 0.203403853153192, 0.232760622048558,          0.272010492111063, 0.3148233892717, 0.3148233892717,          0.310343810032976, 0.301885421229742, 0.279354008399566,          0.156291063754703, 0.156291063754703, 0.343873602324804,          0.136621520737764, 0.277453528347438, 0.323825203617813,          0.582389211118023, 0.157919913507301, 0.449207181019876         ), PROX_HAWKER = c(0.665007751295857, 0.601904675681234,          0.33634581375869, 0.242990200436355, 0.316098981667774,          0.392124905911543, 0.424686940189847, 0.424686940189847,          0.356302899600742, 0.15027253820603, 0.158729667464322,          0.46881842734995, 0.46881842734995, 0.225377370173431,          0.736355433757935, 0.214745652304629, 0.17988889362956,          0.393163811818296, 0.258924665495, 0.464701711390969),          PROX_MRT = c(0.549595780709265, 0.66128766903618, 0.437510974512092,          0.347215067697513, 0.353807427048722, 0.870814763860364,          0.253583166891469, 0.253583166891469, 0.321982757522174,          0.839256513816073, 1.12797954219589, 0.750034220630686,          0.750034220630686, 0.452916639575337, 0.930431293452388,          0.525678460826462, 0.495510769155532, 0.434583879195091,          1.30755754576723, 0.361698258812245), PROX_PARK = c(0.353281501558379,          0.473457593144303, 0.386749503328341, 0.502895249788983,          0.540897442657821, 0.989030190878471, 0.482110245392283,          0.482110245392283, 0.550000337404237, 0.919693677764514,          1.12857946410316, 0.828179073128827, 0.828179073128827,          0.680409922157526, 0.786607284590569, 0.766524211973089,          0.816564732509704, 0.885911587583127, 0.803347187860442,          0.651892034671684), PROX_GOOD_PRISCH = c(2.94429219434277,          3.02211493728223, 2.65585299610189, 2.27859573799937,          2.20280244575696, 3.47561641519302, 2.22494939608982,          2.22494939608982, 2.16237499594262, 2.32631552336422,          2.70116277997296, 3.58178441884724, 3.58178441884724,          2.04281306492033, 3.43096694593549, 2.04167837943161,          1.99475835919692, 3.98479480133756, 2.45379201830723,          3.96984616110429), PROX_MALL = c(0.485349818185599, 0.570379319619026,          0.337875853585261, 0.285366785950761, 0.315823950773482,          1.1888213641646, 0.31885342913617, 0.31885342913617,          0.38523327442887, 0.752077094160308, 1.02774547618649,          1.26743973989934, 1.26743973989934, 0.513452616263142,          1.02435160052226, 0.636573036587929, 0.68208602871978,          1.1081035152608, 1.21674302842157, 1.2652175398851),          PROX_CHAS = c(0.331046161101227, 0.303272176186244, 0.315432137833306,          0.0737889624358689, 0.0731998871787336, 0.106822211501606,          0.211748617283041, 0.211748617283041, 0.188692357663819,          0.111194343620761, 0.193072984237221, 0.163154212627783,          0.163154212627783, 0.180097972613039, 0.105578702221058,          0.208534953207918, 0.185272865297861, 0.345906079563203,          0.233242749827373, 0.108899254787234), PROX_SUPERMARKET = c(0.325943517329761,          0.34627255092781, 0.0907256678718214, 0.177322353300672,          0.266280670019211, 0.139079920157556, 0.199301193911681,          0.199301193911681, 0.267150206458008, 0.370675298005651,          0.198191070641627, 0.118448079318654, 0.118448079318654,          0.397689630461078, 0.0670716613901785, 0.496000676868079,          0.544212695479659, 0.128350069204848, 0.37596142908425,          0.115229795891962), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 3L, 2L, 4L, 4L, 4L, 1L, 1L, 1L, 1L, 4L, 0L,          1L, 1L, 2L, 0L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L,          2L, 7L, 5L, 6L, 6L, 6L, 5L, 3L, 4L, 3L, 3L, 7L, 2L, 4L,          4L, 4L, 3L, 4L), WITHIN_350M_BUS = c(5L, 6L, 8L, 9L,          10L, 7L, 9L, 9L, 9L, 12L, 9L, 7L, 7L, 8L, 5L, 7L, 8L,          3L, 10L, 5L), WITHIN_1KM_PRISCH = c(0L, 1L, 2L, 4L, 4L,          2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L,          2L), DNeighbour = c(0, 121.905170733261, 328.530591649286,          671.317805945028, 739.822636283222, 795.572967171736,          801.795285515406, 804.285607105471, 873.4984381638, 900.157826231673,          960.800624965509, 960.961602138875, 963.630588994319,          1003.72719059232, 1043.46378686743, 1108.83374357029,          1156.95631410591, 1181.68745095458, 1269.6404670935,          1288.61535747043)), row.names = c("622", "346", "288",      "897", "472", "849", "181", "533", "199", "279", "646", "382",      "907", "116", "411", "436", "75", "234", "307", "176"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.982181139461037, 0.874227331596838, 0.53085806569563, 0.44941436150098,      0.382956306910863, 0.375583890804067, 0.372637397695725,      0.292149235085955, 0.262177488236315, 0.19719834994059, 0.19703292237891,      0.194296255057026, 0.154673046901539, 0.118539398342897,      0.0673745890698249, 0.0375983658094409, 0.0253040071069144,      0.000854581098130313, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8381048275 
R squared (OOB):                  0.4954763 

$Forests[[623]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(447888, 443000, 462000,      459000, 445000, 382000, 430000, 425000, 418000, 418000, 345000,      425000, 395000, 318000, 442500, 418888, 358000, 450000, 415000,      390000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 92, 93,      92, 92, 90, 93, 93, 90, 92, 92, 104, 92, 92, 92), storey_order = c(5L,      5L, 5L, 4L, 4L, 1L, 5L, 5L, 3L, 5L, 5L, 4L, 2L, 3L, 6L, 3L,      4L, 4L, 2L, 1L), remaining_lease_mths = c(1137, 1134, 1134,      1138, 1133, 1111, 1137, 1134, 1134, 1142, 937, 1134, 1138,      968, 1138, 1136, 815, 1135, 1132, 1132), PROX_CBD = c(14.1475961545785,      14.1475961545785, 14.1475961545785, 14.1715462602585, 14.1149653809405,      14.29200158436, 14.2919055230493, 14.3486805845321, 14.318757359464,      14.4012043650842, 14.2787185061121, 14.318757359464, 14.318757359464,      14.1338242827509, 14.4158973706441, 14.4158973706441, 14.0960645211931,      14.5310939664424, 14.6122009832922, 14.6424103631698), PROX_ELDERLYCARE = c(2.03155968851809,      2.03155968851809, 2.03155968851809, 2.09595649451453, 2.12564955085825,      2.00367987562091, 2.08663557441472, 2.08279710659019, 2.13920478430288,      1.94149260139439, 1.77826193055387, 2.13920478430288, 2.13920478430288,      2.28550514148655, 1.86115765343828, 1.86115765343828, 1.70531999087377,      1.79186944623163, 1.68824062303628, 1.72557175775889), PROX_HAWKER = c(1.0452124348096,      1.0452124348096, 1.0452124348096, 1.11030496241672, 1.06810792734919,      1.05572120633707, 1.13160866269818, 1.11865892678262, 1.17625726432186,      0.977925494011815, 0.865181709866835, 1.17625726432186, 1.17625726432186,      1.19906286300234, 0.900970586039013, 0.900970586039013, 0.845358517598031,      0.816792492128141, 0.707122679385598, 0.740384095011384),          PROX_MRT = c(0.206896355650083, 0.206896355650083, 0.206896355650083,          0.236487582928319, 0.282489779359316, 0.129588785375857,          0.215635082050947, 0.228370105834555, 0.277525006355607,          0.117672709296806, 0.14195902454703, 0.277525006355607,          0.277525006355607, 0.414064606154384, 0.0830542408041225,          0.0830542408041225, 0.217341234217998, 0.197201307651512,          0.295449456212788, 0.312698200175978), PROX_PARK = c(1.52292224478236,          1.52292224478236, 1.52292224478236, 1.59201213147604,          1.55223981690243, 1.659682039687, 1.71136953372848, 1.76668334590621,          1.77227256709076, 1.73691437359179, 1.51686048726609,          1.77227256709076, 1.77227256709076, 1.68789157401301,          1.70853765465547, 1.70853765465547, 1.27300714898888,          1.79335149216305, 1.76906915549279, 1.78460824921244),          PROX_GOOD_PRISCH = c(5.43570837857945, 5.43570837857945,          5.43570837857945, 5.50129862889456, 5.45814117537329,          5.57470277830303, 5.62322031775431, 5.67955556528646,          5.68167095374807, 5.65284274036128, 5.42826997650874,          5.68167095374807, 5.68167095374807, 5.57754198399205,          5.62289607338158, 5.62289607338158, 5.17863906457975,          5.7030752613132, 5.7298925008129, 5.77937603269072),          PROX_MALL = c(0.329425359540921, 0.329425359540921, 0.329425359540921,          0.405991175981987, 0.377565489031552, 0.462705775504015,          0.517951444315281, 0.571430807201143, 0.582562895872492,          0.544441659044551, 0.338911837083335, 0.582562895872492,          0.582562895872492, 0.547412994688805, 0.475045953779526,          0.475045953779526, 0.243284841315127, 0.466036051693473,          0.426875162675013, 0.482269498416602), PROX_CHAS = c(0.188783823394846,          0.188783823394846, 0.188783823394846, 0.12657377242065,          0.179884741524278, 0.0888572682655253, 3.54155757628082e-08,          0.0590253437170886, 0.0707174365033835, 0.0706873614354785,          0.18872293939054, 0.0707174365033835, 0.0707174365033835,          0.219091723429967, 0.0420419616737589, 0.0420419616737589,          0.132339190026647, 0.162368565956873, 0.270793953405505,          0.280031834846542), PROX_SUPERMARKET = c(0.235757849482592,          0.235757849482592, 0.235757849482592, 0.248308073473709,          0.299769914037237, 0.124391003677116, 0.199383936085002,          0.199153546859355, 0.25307995359875, 0.0706874850207218,          0.188722783027928, 0.25307995359875, 0.25307995359875,          0.41091265647621, 0.0420421510628514, 0.0420421510628514,          0.226949559622758, 0.162368758687164, 0.270794118098451,          0.280032026158491), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 5L, 6L, 5L, 5L, 4L, 4L, 5L, 6L, 4L, 4L, 3L, 5L, 5L,          7L, 4L, 5L, 3L), WITHIN_350M_BUS = c(6L, 6L, 6L, 5L,          5L, 5L, 4L, 4L, 3L, 6L, 8L, 3L, 3L, 3L, 7L, 7L, 9L, 8L,          6L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L,          3L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 4L, 4L, 5L, 3L, 4L, 3L         ), DNeighbour = c(0, 1.87087927055345, 4.86282568103855,          91.5111433714115, 100.891411472884, 151.987409066132,          192.51062604995, 247.937364380108, 249.664677447787,          251.413888149331, 257.344978944142, 257.350796370637,          258.122788920744, 272.692233755782, 277.061591195751,          278.868086847637, 393.016823563087, 401.850779637166,          508.24676276421, 521.903651056498)), row.names = c("623",      "966", "207", "277", "519", "989", "267", "217", "58", "633",      "329", "205", "840", "120", "33", "100", "880", "609", "489",      "323"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999974299707793,      0.999826376751907, 0.939456243676249, 0.926655750235744,      0.837577207633577, 0.746393256846927, 0.599563239993262,      0.594686448327312, 0.589733836982153, 0.572841876638141,      0.572825236954724, 0.57061590711941, 0.52852696928776, 0.515782356238465,      0.510500055632025, 0.187422799534391, 0.165766524735209,      0.00266773972982946, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1002261231 
R squared (OOB):                  0.3436605 

$Forests[[624]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(338000, 323000, 445000,      348000, 388000, 385000, 309000, 350880, 430000, 345000, 480000,      315000, 410000, 360000, 421000, 361000, 366800, 328000, 330000,      425000), floor_area_sqm = c(93, 92, 100, 93, 104, 104, 91,      91, 91, 91, 104, 91, 93, 103, 93, 84, 105, 84, 84, 108),          storey_order = c(5L, 2L, 3L, 4L, 3L, 4L, 2L, 2L, 4L,          3L, 2L, 1L, 4L, 1L, 4L, 4L, 2L, 4L, 3L, 3L), remaining_lease_mths = c(860,          690, 949, 777, 751, 740, 774, 785, 777, 773, 777, 790,          788, 798, 789, 794, 761, 806, 791, 820), PROX_CBD = c(9.71808261065178,          9.445702961959, 9.38671442358298, 9.5834162789491, 10.2659136784881,          10.2659136784881, 9.64616581570663, 10.3813809316332,          10.4167519306418, 9.63489497584329, 8.81196120759187,          10.6917699702976, 10.7402382849343, 10.1540744969693,          10.8005053894847, 10.1908965186918, 8.5913881835975,          10.2439629519707, 9.73525531751342, 10.7884209511687),          PROX_ELDERLYCARE = c(0.288600487645686, 0.0646727834979237,          0.197320443098403, 0.221128007339761, 0.737818764037149,          0.737818764037149, 0.306199433665808, 0.833489789321986,          0.852176862644424, 0.42629854090558, 0.68560621126507,          1.07660186858624, 1.05196585123006, 0.85844301108046,          1.11154389564577, 0.891997547710976, 0.675108088860868,          0.904720646157319, 0.869795033999967, 1.11323464510705         ), PROX_HAWKER = c(1.10941781168001, 0.802499530175562,          0.671765492644128, 0.844035637065003, 1.65941342147148,          1.65941342147148, 0.906506968115566, 1.5910354083573,          1.55256346901264, 0.908741650371918, 0.290355020850324,          1.35937058559257, 1.02652926791064, 0.614574465644474,          0.918995125488027, 0.594526114354717, 0.151496134675632,          0.616195579705155, 0.687117415591119, 0.812377793689625         ), PROX_MRT = c(0.750225097750018, 0.834535111428891,          0.671695564859285, 0.679762822214213, 0.684374477874155,          0.684374477874155, 0.626377719466395, 0.699917284291438,          0.686459009674335, 0.669484450879797, 0.425157896719621,          0.753106278920522, 0.546812793492647, 0.544743966599557,          0.566932323762424, 0.554399001312584, 0.864705124656065,          0.52596302633555, 0.86810604264512, 0.526269526678983         ), PROX_PARK = c(0.552878075981585, 0.508498628446561,          0.409638708762546, 0.171128410914521, 0.570788416471153,          0.570788416471153, 0.106198450905693, 0.616002692100522,          0.613918856542286, 0.197084482081202, 0.468007817587664,          0.536819237128991, 0.401614025373747, 0.578916018382343,          0.370936327890873, 0.61263038213259, 0.545921527880028,          0.626908579085899, 0.452373350223662, 0.467051942358664         ), PROX_GOOD_PRISCH = c(2.3197363622043, 2.16640973416033,          1.96445822173508, 1.81796659730331, 2.58742850928016,          2.58742850928016, 1.71137279935344, 2.6286340652406,          2.62113030487697, 1.59153495480405, 2.18636815139252,          2.68318776685765, 2.39141973384207, 1.40445923276907,          2.34700895725274, 1.40421671412888, 2.65365036334729,          1.44855804010835, 1.15234422615158, 2.2131785217075),          PROX_MALL = c(0.64580888250568, 0.855253012280219, 0.704978058880463,          0.812301361871699, 0.364765391124967, 0.364765391124967,          0.808294932987377, 0.365493224544838, 0.350991485118426,          0.873569112263515, 0.389401354829447, 0.459259689573629,          0.344610557976029, 0.685950169481642, 0.363372953846058,          0.685823836221668, 0.81045000642783, 0.644656189163291,          0.907839978504126, 0.340751907865098), PROX_CHAS = c(0.122290728478786,          0.378465676389041, 0.181909444046462, 0.334146331647452,          0.204257711541377, 0.204257711541377, 0.415210445937219,          0.28517644723447, 0.302383860370021, 0.454068185577158,          0.210741683871549, 0.0626028682349028, 0.106045676778667,          0.170954716034814, 0.111289200730163, 0.151788880767358,          0.0629474356823598, 0.155315138624813, 0.116614388177292,          0.260152478655286), PROX_SUPERMARKET = c(0.190117050177684,          0.234896025437738, 0.448356351676465, 0.581458245406798,          0.384238743245603, 0.384238743245603, 0.675617328849562,          0.49431722643315, 0.519095500550079, 0.717910522287554,          0.365648379234028, 0.550262392018624, 0.357992185767737,          0.171715993026927, 0.386863986973968, 0.152401712794372,          0.140831249897628, 0.18505229065347, 0.458729641056945,          0.363982132031921), WITHIN_350M_KINDERGARTEN = c(0L,          3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 2L, 1L, 2L, 0L, 2L,          0L, 1L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(2L, 3L,          3L, 3L, 6L, 6L, 1L, 6L, 6L, 1L, 3L, 3L, 3L, 2L, 3L, 2L,          0L, 1L, 2L, 3L), WITHIN_350M_BUS = c(6L, 10L, 9L, 7L,          8L, 8L, 8L, 10L, 9L, 5L, 7L, 7L, 6L, 14L, 9L, 12L, 8L,          10L, 10L, 8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 4L,          2L, 2L, 4L, 2L, 2L, 3L, 1L, 3L, 5L, 5L, 5L, 6L, 2L, 6L,          4L, 6L), DNeighbour = c(0, 309.924564055997, 485.858237522188,          513.687423609074, 564.951028796857, 568.306289664891,          615.483181054544, 680.568843380719, 711.211096439737,          732.250490904688, 941.050403543655, 967.508540403345,          1054.57914931165, 1120.40159214871, 1131.4232413179,          1147.74635782786, 1150.61649111502, 1151.67568816129,          1174.14121836531, 1176.69092775783)), row.names = c("624",      "67", "373", "799", "77", "501", "785", "626", "480", "273",      "465", "569", "6", "560", "56", "447", "894", "668", "921",      "696"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.866067590659147,      0.688089822999739, 0.655163767156707, 0.592109120260687,      0.58789035632041, 0.527664761278436, 0.442866472271239, 0.40281999568665,      0.375459167938996, 0.129896116000922, 0.104937563920225,      0.0387230694452197, 0.00872086573532349, 0.00569431583664705,      0.0023611318968271, 0.00192082480518114, 0.00176954838070385,      1.87402331139948e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2232212827 
R squared (OOB):                  0.03470004 

$Forests[[625]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(438000, 390000, 376888,      430000, 447000, 420000, 412000, 360000, 380000, 435000, 440000,      410000, 417000, 422800, 435000, 615000, 429000, 435000, 575000,      585000), floor_area_sqm = c(104, 104, 104, 104, 107, 104,      103, 84, 104, 99, 100, 100, 99, 104, 100, 84, 104, 103, 93,      93), storey_order = c(2L, 1L, 3L, 2L, 3L, 2L, 4L, 2L, 1L,      2L, 3L, 3L, 3L, 4L, 4L, 2L, 2L, 4L, 5L, 4L), remaining_lease_mths = c(812,      809, 810, 819, 782, 922, 918, 762, 924, 928, 911, 915, 914,      813, 924, 1122, 822, 819, 1133, 1142), PROX_CBD = c(11.7215458353159,      11.7882471009294, 11.622690560426, 11.547248638023, 11.7840832214562,      11.8892341343185, 11.9871965659798, 11.4815172953657, 12.0301392517655,      12.2106818490232, 12.2087069526051, 12.2087069526051, 12.2815153207229,      11.1672746170477, 12.114386347938, 12.3801819754074, 11.1191912667925,      11.381621166991, 12.4342034244884, 12.454441113408), PROX_ELDERLYCARE = c(0.240093333498969,      0.114277277444971, 0.175524774720266, 0.246353759583753,      0.481333190444255, 0.110349805405523, 0.210296865683283,      0.182032582488253, 0.255083942589415, 0.442541563379791,      0.434858408662556, 0.434858408662556, 0.513657423159811,      0.14075304944647, 0.421163091926404, 0.738453704244922, 0.213121327483379,      0.382123855460196, 0.678867196986192, 0.717258387107597),          PROX_HAWKER = c(0.609281739536534, 0.647051853283446,          0.783966268147895, 0.837769476188058, 0.436117874461739,          0.684056106771311, 0.625285574708341, 0.728271246274353,          0.598391326300702, 0.524204307723605, 0.692592935098248,          0.692592935098248, 0.52278816815954, 1.04840790050398,          0.885134801830427, 0.261296216065877, 1.08329799955244,          0.863892291353285, 0.504612881494125, 0.459376407452819         ), PROX_MRT = c(0.989064774064853, 1.00317447086964,          1.15515804744233, 1.16228231940478, 0.81394482428473,          1.00424261648768, 0.923336133969517, 0.756359380624344,          0.885297742933312, 0.743103019894999, 0.89623888155871,          0.89623888155871, 0.703998835661039, 0.893429463565323,          1.10882075300419, 0.367154517888221, 0.776456939054752,          0.424871345706255, 0.586933783104383, 0.518913352820399         ), PROX_PARK = c(1.28416187507733, 1.24877122811849,          1.41684131410086, 1.4881280763212, 1.20101103678102,          1.19263079577799, 1.09395352284574, 1.50398184725757,          1.04875150887626, 0.863487882808023, 0.954913184146477,          0.954913184146477, 0.796788171077343, 1.25063890429238,          1.14970360230785, 0.605799570777928, 1.13833451608328,          1.31830174708739, 0.628391467794767, 0.580711209690395         ), PROX_GOOD_PRISCH = c(0.585140695782779, 0.713901761199557,          0.733057242670121, 0.735233663606362, 0.357669915539773,          0.842915880539328, 0.855677549512306, 0.365254403810308,          0.860616187528585, 0.91368762909787, 1.04944877580977,          1.04944877580977, 0.952579960345566, 0.623353133039123,          1.17061030478036, 0.823417580851307, 0.586469336292635,          0.288839241027683, 1.01367306567257, 0.990054087408291         ), PROX_MALL = c(0.690287469384684, 0.741052769880115,          0.868993594299523, 0.918014501744059, 0.489619370966043,          0.787722851944232, 0.732793638615111, 0.763531318053358,          0.707201836140707, 0.634332011832188, 0.802829369116586,          0.802829369116586, 0.630705874818675, 1.08293003315278,          0.995792127022496, 0.344173235497563, 1.10160019948421,          0.849953313581112, 0.600548053404267, 0.549832225559512         ), PROX_CHAS = c(0.164718468919614, 0.0554870656895364,          0.151742844958785, 0.157099147473317, 0.0667093090499658,          0.124859952031804, 0.171681037809818, 0.0516610437101642,          0.202915262499126, 0.140964983635816, 0.0852358826892552,          0.0852358826892552, 0.0753088652692227, 0.151540147087551,          0.138740180982893, 0.126495411341712, 0.143881852296294,          0.115324197479935, 0.134041173915956, 0.134313038880304         ), PROX_SUPERMARKET = c(0.169255457402684, 0.0453848138423891,          0.151741730066283, 0.157098334004615, 0.379080894647373,          0.114394571204967, 0.172282484091702, 0.19171128272723,          0.20670525505664, 0.377835654599335, 0.414959148864982,          0.414959148864982, 0.448534184110051, 0.299482732316256,          0.459680111992834, 0.30203349112312, 0.246182427713253,          0.186698572696543, 0.543693418915242, 0.499432454100223         ), WITHIN_350M_KINDERGARTEN = c(2L, 3L, 1L, 1L, 2L, 2L,          2L, 0L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 0L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(6L, 8L, 7L, 7L, 3L, 8L,          5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 1L, 3L, 5L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(10L, 9L, 8L, 11L, 7L, 9L, 6L,          14L, 7L, 11L, 11L, 11L, 12L, 14L, 8L, 8L, 9L, 10L, 12L,          11L), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 2L, 4L, 2L, 2L,          3L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 4L, 2L, 3L, 1L, 3L),          DNeighbour = c(0, 134.648615468324, 180.808152319348,          227.035717736104, 256.080256945772, 281.272817574993,          331.118135523584, 359.658904145436, 361.829109114509,          505.922354539335, 576.354170618139, 576.751872184236,          577.031155587659, 585.141060429114, 620.422789526791,          682.687052997962, 703.003295050732, 717.641513414481,          719.318785077414, 724.756013412734)), row.names = c("625",      "508", "750", "598", "340", "148", "689", "213", "727", "42",      "410", "680", "362", "528", "707", "315", "845", "744", "310",      "641"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.9321594050516,      0.879398446706992, 0.813368306971845, 0.765897589667499,      0.72145273007442, 0.626110184446416, 0.568120480090542, 0.563635744840943,      0.262875473272262, 0.135126158476141, 0.134485057316239,      0.13403549569196, 0.121219057500014, 0.071390097489678, 0.0127062653951096,      0.00349598664317823, 0.000381672962205401, 0.000223443235277232,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4946811760 
R squared (OOB):                  -0.05042918 

$Forests[[626]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350880, 430000, 385000,      388000, 315000, 410000, 421000, 338000, 670000, 425000, 7e+05,      392000, 323000, 540000, 415000, 463888, 348000, 309000, 475000,      445000), floor_area_sqm = c(91, 91, 104, 104, 91, 93, 93,      93, 92, 108, 92, 103, 92, 92, 92, 95, 93, 91, 93, 100), storey_order = c(2L,      4L, 4L, 3L, 1L, 4L, 4L, 5L, 5L, 3L, 4L, 2L, 2L, 6L, 2L, 1L,      4L, 2L, 4L, 3L), remaining_lease_mths = c(785, 777, 740,      751, 790, 788, 789, 860, 1121, 820, 1126, 833, 690, 1142,      1130, 1140, 777, 774, 1130, 949), PROX_CBD = c(10.3813809316332,      10.4167519306418, 10.2659136784881, 10.2659136784881, 10.6917699702976,      10.7402382849343, 10.8005053894847, 9.71808261065178, 11.0595651330709,      10.7884209511687, 11.1573644039326, 10.8307618753175, 9.445702961959,      11.3687765497058, 11.3687765497058, 11.4133195883395, 9.5834162789491,      9.64616581570663, 11.4536743231806, 9.38671442358298), PROX_ELDERLYCARE = c(0.833489789321986,      0.852176862644424, 0.737818764037149, 0.737818764037149,      1.07660186858624, 1.05196585123006, 1.11154389564577, 0.288600487645686,      1.41694161867716, 1.11323464510705, 1.34447435494956, 1.12487398858542,      0.0646727834979237, 1.27208236570677, 1.27208236570677, 1.61512702812623,      0.221128007339761, 0.306199433665808, 1.19895989384568, 0.197320443098403     ), PROX_HAWKER = c(1.5910354083573, 1.55256346901264, 1.65941342147148,      1.65941342147148, 1.35937058559257, 1.02652926791064, 0.918995125488027,      1.10941781168001, 1.19495083476736, 0.812377793689625, 1.10011050744246,      0.775872885593274, 0.802499530175562, 1.07923254025891, 1.07923254025891,      1.4377955077332, 0.844035637065003, 0.906506968115566, 1.02903329925728,      0.671765492644128), PROX_MRT = c(0.699917284291438, 0.686459009674335,      0.684374477874155, 0.684374477874155, 0.753106278920522,      0.546812793492647, 0.566932323762424, 0.750225097750018,      0.991329354536752, 0.526269526678983, 0.876646963171676,      0.568072215940967, 0.834535111428891, 0.671331594421278,      0.671331594421278, 0.8250506195824, 0.679762822214213, 0.626377719466395,      0.573574303209013, 0.671695564859285), PROX_PARK = c(0.616002692100522,      0.613918856542286, 0.570788416471153, 0.570788416471153,      0.536819237128991, 0.401614025373747, 0.370936327890873,      0.552878075981585, 0.275833477585303, 0.467051942358664,      0.189026691537682, 0.443949121553361, 0.508498628446561,      0.294690087030438, 0.294690087030438, 0.60176146852012, 0.171128410914521,      0.106198450905693, 0.341254943367627, 0.409638708762546),          PROX_GOOD_PRISCH = c(2.6286340652406, 2.62113030487697,          2.58742850928016, 2.58742850928016, 2.68318776685765,          2.39141973384207, 2.34700895725274, 2.3197363622043,          2.8385375863655, 2.2131785217075, 2.83177349547833, 2.22887532154294,          2.16640973416033, 2.95589454100459, 2.95589454100459,          3.26097143466547, 1.81796659730331, 1.71137279935344,          2.96812409551872, 1.96445822173508), PROX_MALL = c(0.365493224544838,          0.350991485118426, 0.364765391124967, 0.364765391124967,          0.459259689573629, 0.344610557976029, 0.363372953846058,          0.64580888250568, 0.76911725394793, 0.340751907865098,          0.831480717149744, 0.384053234723219, 0.855253012280219,          0.814743407183115, 0.814743407183115, 0.979751787656279,          0.812301361871699, 0.808294932987377, 0.714729745574342,          0.704978058880463), PROX_CHAS = c(0.28517644723447, 0.302383860370021,          0.204257711541377, 0.204257711541377, 0.0626028682349028,          0.106045676778667, 0.111289200730163, 0.122290728478786,          0.0661119226245057, 0.260152478655286, 0.0819321575559949,          0.2644107607892, 0.378465676389041, 0.257507761616553,          0.257507761616553, 0.136218265087875, 0.334146331647452,          0.415210445937219, 0.31407050179696, 0.181909444046462         ), PROX_SUPERMARKET = c(0.49431722643315, 0.519095500550079,          0.384238743245603, 0.384238743245603, 0.550262392018624,          0.357992185767737, 0.386863986973968, 0.190117050177684,          0.444069124865739, 0.363982132031921, 0.408274605358357,          0.407226974513028, 0.234896025437738, 0.30094246041235,          0.30094246041235, 0.0830307595499944, 0.581458245406798,          0.675617328849562, 0.345653574215055, 0.448356351676465         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 2L,          2L, 0L, 2L, 1L, 1L, 2L, 3L, 1L, 1L, 0L, 1L, 1L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 6L, 3L, 3L,          3L, 2L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 1L, 2L, 3L         ), WITHIN_350M_BUS = c(10L, 9L, 8L, 8L, 7L, 6L, 9L, 6L,          9L, 8L, 6L, 11L, 10L, 10L, 10L, 4L, 7L, 8L, 8L, 9L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L, 5L, 5L, 2L,          3L, 6L, 3L, 6L, 2L, 3L, 3L, 1L, 4L, 4L, 4L, 2L), DNeighbour = c(0,          43.3963045134879, 114.657659917688, 118.1781539198, 313.96780978673,          565.562195786076, 665.992089111228, 680.568843380719,          688.162460208848, 789.210004978491, 795.039305765689,          818.884086402253, 984.198330220736, 1004.28075729186,          1010.4782410355, 1033.47981299786, 1039.32798029213,          1076.72038630021, 1096.40163742027, 1124.31658393658)), row.names = c("626",      "480", "501", "77", "569", "6", "56", "624", "407", "696",      "425", "743", "67", "876", "157", "303", "799", "785", "132",      "373"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.997022617498595,      0.979308369717566, 0.978025378821818, 0.850117641264621,      0.557954175435843, 0.421354368932439, 0.40143674243324, 0.391085295612965,      0.257324089151422, 0.249965504175173, 0.220450619422209,      0.054624606326265, 0.0408558583726024, 0.0369602539544911,      0.0240430652809324, 0.0211611252157178, 0.00686822835972715,      0.00240494996689407, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7059518895 
R squared (OOB):                  0.3689957 

$Forests[[627]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 408000, 395000,      368000, 340000, 388000, 325000, 335000, 4e+05, 335000, 4e+05,      328000, 361000, 360000, 374000, 360000, 350000, 398000, 385000,      333000), floor_area_sqm = c(98, 100, 101, 100, 104, 100,      85, 84, 103, 93, 104, 84, 84, 103, 103, 104, 105, 100, 101,      84), storey_order = c(2L, 4L, 4L, 2L, 1L, 4L, 1L, 2L, 3L,      5L, 2L, 4L, 4L, 1L, 2L, 2L, 1L, 2L, 3L, 3L), remaining_lease_mths = c(912,      921, 936, 923, 869, 922, 830, 796, 796, 921, 822, 806, 794,      798, 862, 804, 837, 924, 952, 823), PROX_CBD = c(10.6430674352334,      10.7481925626994, 10.5347600839054, 10.5911430304609, 10.9782438935663,      10.3133134299625, 10.1989356004427, 10.2571858212528, 10.2571858212528,      10.6321305837804, 10.8294299245227, 10.2439629519707, 10.1908965186918,      10.1540744969693, 11.0478583208432, 10.0879656312395, 10.9742090734032,      10.2027088676681, 10.5394819073022, 9.85122377146013), PROX_ELDERLYCARE = c(1.10983952182968,      1.00181077128688, 1.31633228018286, 1.2745451415541, 0.748731634955849,      1.4124150938613, 1.08623091115154, 0.969336561855173, 0.969336561855173,      1.32435226249417, 0.925828280583076, 0.904720646157319, 0.891997547710976,      0.85844301108046, 0.694826263841934, 1.31022889057949, 0.852070403211021,      1.63738856945076, 1.55101586165687, 0.999223533815273), PROX_HAWKER = c(0.494234864614673,      0.591883114810231, 0.259744380023822, 0.314632743063994,      0.421987441153261, 0.0623262564011618, 0.368744432216956,      0.543600998034675, 0.543600998034675, 0.382898898882956,      0.558859907936318, 0.616195579705155, 0.594526114354717,      0.614574465644474, 0.33156405975617, 0.196699811405185, 0.487483409830997,      0.264427923442986, 0.463304434183495, 0.526313717816828),          PROX_MRT = c(0.91242151857363, 0.80807654444201, 1.15842683571226,          1.14211364891441, 0.516121726350597, 1.09471398918577,          0.78040997284139, 0.5984056038899, 0.5984056038899, 1.20430491709432,          0.633065114071651, 0.52596302633555, 0.554399001312584,          0.544743966599557, 0.413251174688675, 1.09046737609619,          0.534522073584246, 1.392302848886, 1.31136747445593,          0.907717901248049), PROX_PARK = c(1.09293299728603, 1.13130385684233,          1.00657829367171, 0.997953552798557, 1.01560706627581,          0.826294351272671, 0.808282577864154, 0.690393008756984,          0.690393008756984, 0.852996238213812, 0.822296725898933,          0.626908579085899, 0.61263038213259, 0.578916018382343,          0.855372307789476, 0.604882226694947, 0.623434891123849,          0.728383914708498, 0.594979546415276, 0.510337594738446         ), PROX_GOOD_PRISCH = c(1.4206810513637, 1.51127824976447,          1.12709017589061, 1.15731102426836, 1.81228643023267,          0.993301788551023, 1.199846441039, 1.38840710840139,          1.38840710840139, 1.09467860924251, 1.88031331185984,          1.44855804010835, 1.40421671412888, 1.40445923276907,          1.96973866183315, 0.87937610392538, 2.09882394138718,          0.689163418131917, 0.89296386953394, 1.05242409875061         ), PROX_MALL = c(0.220538248250442, 0.114469773448463,          0.464767570965945, 0.441630162720786, 0.231229629812008,          0.450275200033962, 0.663851500718272, 0.638527944164543,          0.638527944164543, 0.512358501951296, 0.43093778326398,          0.644656189163291, 0.685823836221668, 0.685950169481642,          0.400154220571097, 0.441232897113797, 0.606835933426222,          0.12742430838485, 0.357726596913911, 0.756051767526383         ), PROX_CHAS = c(0.0703959269798554, 0.0793642323922721,          0.272565000598528, 0.327465416824022, 0.23122963873357,          0.071192987667569, 0.0710453772718398, 0.0819899420632749,          0.0819899420632749, 0.394471723674887, 0.0390568763467083,          0.155315138624813, 0.151788880767358, 0.170954716034814,          0.193330180912365, 0.177420148260447, 0.20965056306942,          0.127424254451578, 0.263233285458842, 3.39583191183935e-08         ), PROX_SUPERMARKET = c(0.220538485726081, 0.114469867006585,          0.464768447350912, 0.441631117888638, 0.231228589734032,          0.330151298165832, 0.00115080458448496, 0.123486578338512,          0.123486578338512, 0.447614574279886, 0.430936681100737,          0.18505229065347, 0.152401712794372, 0.171715993026927,          0.392366955335671, 0.320748009942088, 0.477398814511427,          0.129189539659537, 0.263232243208913, 0.350225948243757         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 2L, 1L,          0L, 0L, 0L, 2L, 2L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 4L, 1L, 1L, 5L, 4L,          4L, 2L, 2L, 3L, 4L, 1L, 2L, 2L, 2L, 5L, 2L, 6L, 6L, 3L         ), WITHIN_350M_BUS = c(13L, 10L, 15L, 13L, 9L, 15L, 12L,          10L, 10L, 12L, 11L, 10L, 12L, 14L, 7L, 11L, 8L, 13L,          15L, 10L), WITHIN_1KM_PRISCH = c(6L, 6L, 4L, 4L, 5L,          4L, 4L, 5L, 5L, 4L, 6L, 6L, 6L, 5L, 6L, 5L, 6L, 4L, 4L,          4L), DNeighbour = c(0, 112.4482598647, 319.626514358698,          321.921177138259, 407.998888050616, 422.963437432667,          439.571461670036, 440.493162002981, 444.417794354916,          481.828506940755, 485.274519458931, 492.77448931696,          524.500581180705, 559.74269475357, 560.290350149375,          606.770446670421, 701.422466472912, 727.675544185363,          729.210918443681, 783.146665510531)), row.names = c("627",      "866", "577", "718", "317", "513", "967", "591", "494", "975",      "364", "668", "447", "560", "694", "292", "239", "771", "769",      "129"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.959191637107381,      0.694603899254976, 0.690608737383973, 0.530838008223481,      0.501705047372222, 0.46916317296235, 0.467353122984955, 0.459642978056872,      0.386226617219877, 0.379502245596411, 0.364909577863711,      0.304102934415671, 0.239270870284673, 0.238293446943316,      0.159766399143802, 0.0391317964303172, 0.0186718864920451,      0.0176884574651265, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       795311148 
R squared (OOB):                  -0.07684717 

$Forests[[628]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 310000, 470000,      515000, 582000, 550000, 315000, 515000, 450000, 518000, 440000,      638000, 680000, 630000, 445000, 838000, 650000, 545000, 680000,      475000), floor_area_sqm = c(82, 82, 84, 103, 104, 105, 87,      110, 104, 84, 93, 105, 76, 101, 84, 91, 86, 86, 86, 89),          storey_order = c(4L, 5L, 3L, 3L, 3L, 2L, 1L, 1L, 1L,          3L, 3L, 3L, 11L, 2L, 3L, 12L, 3L, 1L, 3L, 1L), remaining_lease_mths = c(657,          656, 813, 823, 935, 786, 633, 859, 828, 781, 759, 918,          1071, 952, 647, 1106, 1018, 1025, 1025, 789), PROX_CBD = c(6.06674643703895,          5.9699685911294, 6.30150758144434, 6.41432963568309,          5.4901102241405, 6.4090346428634, 5.88382015009973, 5.31333197008925,          5.12061996426338, 6.59778313634683, 5.4791067318598,          5.24252163748666, 5.17664618337401, 5.76616775136128,          4.82546817648507, 5.38577040159704, 5.26278746968545,          5.19905620756448, 5.19905620756448, 7.05609226259357),          PROX_ELDERLYCARE = c(0.10409496222889, 4.28110190953706e-07,          0.0580157957368266, 0.101150617829923, 0.157919913507301,          0.336883008423279, 0.599695566252105, 0.301885421229742,          0.279354008399566, 0.619464736019043, 0.505585511375112,          0.232760622048558, 0.203403853153192, 0.708186986363007,          0.401252043911139, 0.343873602324804, 0.310343810032976,          0.3148233892717, 0.3148233892717, 1.59520672965634),          PROX_HAWKER = c(0.346985863757343, 0.247906315943116,          0.511576723994062, 0.639366917684312, 0.258924665495,          0.729024203622067, 0.302293625820731, 0.15027253820603,          0.158729667464322, 1.00589931737343, 0.736115689949186,          0.316098981667774, 0.242990200436355, 0.25612232537118,          0.33634581375869, 0.225377370173431, 0.356302899600742,          0.424686940189847, 0.424686940189847, 1.17571504816288         ), PROX_MRT = c(1.1005845300218, 1.03854772657135, 0.911216039334219,          0.753240517287136, 1.30755754576723, 0.631935879685516,          0.37771060533367, 0.839256513816073, 1.12797954219589,          0.372865816575034, 0.797555156120123, 0.353807427048722,          0.347215067697513, 0.0934691468297738, 0.437510974512092,          0.452916639575337, 0.321982757522174, 0.253583166891469,          0.253583166891469, 0.487588773645627), PROX_PARK = c(0.741200181243785,          0.792968228054446, 0.950460734805334, 0.941128983241434,          0.803347187860442, 0.73120409495038, 1.09766236241216,          0.919693677764514, 1.12857946410316, 0.432673847047101,          0.728040918615253, 0.540897442657821, 0.502895249788983,          1.02675087524374, 0.386749503328341, 0.680409922157526,          0.550000337404237, 0.482110245392283, 0.482110245392283,          0.288106802683489), PROX_GOOD_PRISCH = c(1.85819018299306,          1.89588922913119, 1.50990256016426, 1.35156641752108,          2.45379201830723, 1.19038460547274, 1.61186682958131,          2.32631552336422, 2.70116277997296, 0.909917905905181,          2.93310132502147, 2.20280244575696, 2.27859573799937,          1.65694818911091, 2.65585299610189, 2.04281306492033,          2.16237499594262, 2.22494939608982, 2.22494939608982,          2.64150694603645), PROX_MALL = c(1.22044581333525, 1.25835483053691,          0.872189526609738, 0.713954983197348, 1.21674302842157,          0.56447134405004, 0.966526596905427, 0.752077094160308,          1.02774547618649, 0.324462922438517, 0.719613179783111,          0.315823950773482, 0.285366785950761, 0.834887080030876,          0.337875853585261, 0.513452616263142, 0.38523327442887,          0.31885342913617, 0.31885342913617, 0.487675149993812         ), PROX_CHAS = c(0.252393584019624, 0.21461630683628,          0.0940735950578242, 0.15014885052256, 0.233242749827373,          0.141339892509329, 0.256579842259861, 0.111194343620761,          0.193072984237221, 0.0558741615176373, 0.0706483510319072,          0.0731998871787336, 0.0737889624358689, 0.143086854941205,          0.315432137833306, 0.180097972613039, 0.188692357663819,          0.211748617283041, 0.211748617283041, 0.464118937564998         ), PROX_SUPERMARKET = c(0.321431524942613, 0.227231659318009,          0.469210677159174, 0.519047869620273, 0.37596142908425,          0.360911693423373, 0.27867057765081, 0.370675298005651,          0.198191070641627, 0.173430033183904, 0.0706487501399716,          0.266280670019211, 0.177322353300672, 0.318319510093507,          0.0907256678718214, 0.397689630461078, 0.267150206458008,          0.199301193911681, 0.199301193911681, 0.438288204779491         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 2L, 2L, 0L, 0L,          1L, 1L, 1L, 1L, 0L, 3L, 1L, 2L, 0L, 4L, 4L, 4L, 4L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 4L, 4L, 3L, 5L,          4L, 3L, 4L, 3L, 2L, 5L, 7L, 1L, 2L, 7L, 5L, 6L, 6L, 3L         ), WITHIN_350M_BUS = c(6L, 8L, 7L, 7L, 10L, 9L, 8L, 12L,          9L, 7L, 3L, 10L, 9L, 8L, 8L, 8L, 9L, 9L, 9L, 5L), WITHIN_1KM_PRISCH = c(5L,          4L, 4L, 3L, 3L, 3L, 4L, 3L, 3L, 2L, 2L, 4L, 4L, 4L, 2L,          3L, 3L, 3L, 3L, 2L), DNeighbour = c(0, 108.283700351226,          348.616305498925, 501.239509783029, 644.034930839827,          706.68984454364, 728.092959457806, 777.329933981494,          978.904254829182, 1009.54685912539, 1079.42305248544,          1139.98738085627, 1148.82145083753, 1181.98923967013,          1349.2090952314, 1395.95482700016, 1409.96734613211,          1419.62941622292, 1423.1436259452, 1504.65334927347)), row.names = c("628",      "920", "417", "114", "307", "269", "201", "279", "646", "957",      "802", "472", "897", "430", "288", "116", "199", "533", "181",      "449"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.989668647568216,      0.895519209416055, 0.790368845878846, 0.667148137583305,      0.607480765487874, 0.586520781543801, 0.537445253016356,      0.332628698899287, 0.302309037166235, 0.235566361729394,      0.181458790221894, 0.173929747173976, 0.146613947463892,      0.0383945510948578, 0.0193945447113829, 0.014859008568018,      0.0120607769623847, 0.0111110455704653, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12972459028 
R squared (OOB):                  0.2809839 

$Forests[[629]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(389000, 373000, 408000,      418888, 405000, 376000, 355000, 340000, 330000, 390000, 485000,      455000, 335000, 369000, 375000, 330000, 398000, 385000, 325000,      360000), floor_area_sqm = c(103, 103, 100, 100, 102, 101,      91, 91, 91, 101, 93, 93, 84, 94, 90, 84, 100, 101, 84, 104     ), storey_order = c(2L, 1L, 5L, 2L, 3L, 2L, 3L, 1L, 4L, 4L,      7L, 3L, 2L, 5L, 5L, 4L, 2L, 3L, 5L, 2L), remaining_lease_mths = c(863,      870, 916, 932, 928, 948, 763, 786, 777, 932, 1137, 1139,      791, 942, 946, 806, 924, 952, 812, 804), PROX_CBD = c(9.90721965789512,      9.95029435977204, 9.71665400465424, 9.64941173000682, 9.51108523911647,      10.1515839247586, 9.41668106440496, 9.37335060635629, 9.37335060635629,      10.247812625002, 10.5587309121129, 10.5974154418399, 9.13853516155078,      10.5038890156487, 10.5038890156487, 9.63621863936401, 10.2027088676681,      10.5394819073022, 9.87023127008802, 10.0879656312395), PROX_ELDERLYCARE = c(2.17440400131014,      2.09611483432966, 1.86385802759073, 1.9510043332774, 1.80905665624389,      1.93850967877536, 1.6892356184521, 1.66235796621519, 1.66235796621519,      1.89270432318243, 1.80931542236799, 1.80859644276987, 1.86142420062345,      1.64894906385774, 1.64894906385774, 1.48805339077067, 1.63738856945076,      1.55101586165687, 1.35138892750767, 1.31022889057949), PROX_HAWKER = c(1.08766938871094,      0.876506442172381, 1.14805608329678, 0.940071074791988, 0.978663880778012,      0.608980172673109, 0.864780296064508, 0.823170476035045,      0.823170476035045, 0.561647681218514, 0.792644050178693,      0.832920293493618, 0.823671555860494, 0.53455823354733, 0.53455823354733,      0.677896697868769, 0.264427923442986, 0.463304434183495,      0.410023469086153, 0.196699811405185), PROX_MRT = c(1.9078610258369,      1.8917195123599, 2.10187463598542, 1.69853939108909, 1.99882067476962,      1.73271025710532, 2.02952953118228, 2.01327082024864, 2.01327082024864,      1.63637339364314, 1.33157685526365, 1.28588132880872, 1.58022074581844,      1.36742764633517, 1.36742764633517, 1.32502198166586, 1.392302848886,      1.31136747445593, 1.23646610314009, 1.09046737609619), PROX_PARK = c(0.551504280527303,      0.516721166595223, 0.706984478917025, 0.624691995850973,      0.674672834209049, 0.464183104254495, 0.564264159971047,      0.548771819269344, 0.548771819269344, 0.443665461164749,      0.251058120460841, 0.248039629274522, 0.533109662164166,      0.486479545769779, 0.486479545769779, 0.202594030185392,      0.728383914708498, 0.594979546415276, 0.375073916060521,      0.604882226694947), PROX_GOOD_PRISCH = c(0.299143542468678,      0.213708578130609, 0.494123442243702, 0.107363170703005,      0.439174603441127, 0.447003801568155, 0.555662252109323,      0.581790960048334, 0.581790960048334, 0.550324531917386,      0.819366619188368, 0.856849085387122, 0.605615063995802,      0.819356328881161, 0.819356328881161, 0.53169554186008, 0.689163418131917,      0.89296386953394, 0.706117631385061, 0.87937610392538), PROX_MALL = c(0.701652802220213,      0.493813340134231, 1.00609620967541, 0.625847194134012, 0.994410311642026,      0.217974225134877, 0.873946799305891, 0.835862391091354,      0.835862391091354, 0.190941194230935, 0.516143411126369,      0.562952549426665, 0.925377142856182, 0.3366209001709, 0.3366209001709,      0.564979440463645, 0.12742430838485, 0.357726596913911, 0.445899708163642,      0.441232897113797), PROX_CHAS = c(0.242250716663617, 0.36937911638564,      0.0862664572880411, 0.134178633248207, 0.21913048386411,      0.217974279370684, 0.248119447519373, 0.240374554675797,      0.240374554675797, 0.190941257524933, 0.236682264577822,      0.235419924819913, 0.179557542480515, 0.232134688144963,      0.232134688144963, 0.204909081807225, 0.127424254451578,      0.263233285458842, 0.0764125853219005, 0.177420148260447),          PROX_SUPERMARKET = c(0.157554225694085, 0.359694409353041,          0.0862669641327853, 0.344381560072065, 0.21913043091083,          0.216455869736569, 0.315469124538892, 0.322141005481158,          0.322141005481158, 0.19229406714866, 0.236682533577294,          0.23542039277371, 0.223142170833011, 0.232133828519976,          0.232133828519976, 0.145410708854306, 0.129189539659537,          0.263232243208913, 0.158655939798418, 0.320748009942088         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 1L, 3L, 2L, 1L,          1L, 0L, 0L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 0L, 2L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 7L, 8L, 3L, 4L, 9L,          2L, 2L, 2L, 10L, 7L, 7L, 3L, 5L, 5L, 3L, 6L, 6L, 5L,          5L), WITHIN_350M_BUS = c(10L, 12L, 8L, 8L, 7L, 10L, 6L,          5L, 5L, 10L, 10L, 10L, 11L, 11L, 11L, 7L, 13L, 15L, 8L,          11L), WITHIN_1KM_PRISCH = c(2L, 3L, 1L, 3L, 1L, 4L, 1L,          1L, 1L, 4L, 3L, 3L, 2L, 4L, 4L, 3L, 4L, 4L, 5L, 5L),          DNeighbour = c(0, 207.802458816427, 319.274886140122,          391.942547769264, 415.869519143132, 496.252186734922,          534.748849244729, 570.60685920941, 571.499056155854,          579.477683002135, 723.213233391419, 750.225471405806,          784.265172158415, 815.682587979657, 815.822230739693,          818.526296825814, 823.44527084657, 912.483535073162,          950.238470952866, 1081.87489248948)), row.names = c("629",      "780", "879", "459", "719", "366", "725", "737", "334", "667",      "614", "360", "485", "734", "942", "189", "771", "769", "755",      "292"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.92757455214494,      0.833402052881547, 0.754731064365233, 0.726311153802232,      0.623464298406082, 0.571063644057075, 0.52102967072821, 0.519773605268096,      0.50852216447168, 0.305955705736721, 0.269493838831077, 0.225151336433098,      0.18623988919477, 0.186071923304847, 0.182828725743176, 0.176975171634232,      0.0833068577587527, 0.052232381887466, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1065577515 
R squared (OOB):                  0.3862457 

$Forests[[630]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(540000, 562000, 462000,      333000, 388800, 350000, 380000, 3e+05, 335000, 390000, 390000,      415000, 340000, 398000, 4e+05, 423800, 450000, 680000, 660000,      420000), floor_area_sqm = c(107, 107, 105, 89, 98, 92, 92,      92, 83, 92, 102, 104, 92, 92, 91, 104, 105, 87, 87, 92),          storey_order = c(6L, 7L, 1L, 1L, 2L, 4L, 4L, 2L, 3L,          1L, 2L, 2L, 1L, 3L, 1L, 2L, 2L, 6L, 3L, 5L), remaining_lease_mths = c(969,          957, 965, 692, 697, 688, 693, 691, 687, 685, 763, 760,          699, 714, 783, 756, 757, 1076, 1066, 694), PROX_CBD = c(11.0486323727393,          10.9472701195372, 10.9320040827019, 10.7178846249378,          10.7178846249378, 10.7428660694501, 10.7273754880637,          10.7273754880637, 10.5501175985891, 10.3184291669162,          11.6387779682198, 11.6914583773846, 9.97016469840266,          9.95525560808738, 11.4963900230166, 11.7174653186763,          11.4573592114175, 10.1126951054664, 10.1126951054664,          10.5902646894981), PROX_ELDERLYCARE = c(0.974567200018427,          0.867518349265545, 0.83761180429981, 0.903749132751209,          0.903749132751209, 1.00386291289403, 0.968089576161562,          0.968089576161562, 0.724362239545807, 0.724299376510179,          0.792216801753581, 0.736997311630605, 0.14040561650552,          0.150508443509651, 0.672630859926948, 0.74375074589335,          0.52883250894194, 0.511544492658224, 0.511544492658224,          0.476382036969741), PROX_HAWKER = c(0.436692566666558,          0.429153921265228, 0.499252912381913, 0.131164348467149,          0.131164348467149, 0.19921426515349, 0.259491073356982,          0.259491073356982, 0.496328097640832, 0.285348407142059,          0.61454926069889, 0.558671781535233, 0.15909114400288,          0.153089379504462, 0.804785607263954, 0.5637831570093,          0.848364442784946, 0.268370020499938, 0.268370020499938,          0.142004884371921), PROX_MRT = c(0.741783227751877, 0.638393210693291,          0.582189406643083, 0.897030842789514, 0.897030842789514,          0.911557541227745, 0.880392787161762, 0.880392787161762,          0.92637591011884, 0.752281430413819, 0.0844107562606101,          0.140110279979828, 0.494111782173202, 0.521845664201362,          0.132306565433056, 0.162940637784707, 0.275269590424193,          0.549740095282867, 0.549740095282867, 0.793335563342317         ), PROX_PARK = c(0.644279497097323, 0.730900012581548,          0.802226928628916, 0.68415716278098, 0.68415716278098,          0.65460215425144, 0.675703893946554, 0.675703893946554,          0.888350706343443, 1.05219739289641, 1.51709061898346,          1.50772581466401, 0.68588072489708, 0.730503149795042,          1.41209410927924, 1.5229705853841, 1.3775538710324, 0.878497256111703,          0.878497256111703, 0.57091664624863), PROX_GOOD_PRISCH = c(1.50173151878208,          1.50789829567152, 1.4460454342776, 1.69245386393467,          1.69245386393467, 1.57772010642862, 1.51964159199475,          1.51964159199475, 1.37609088117382, 1.54472866778257,          0.453346371612442, 0.476923220580037, 1.97396491196204,          2.01039924795066, 0.364349890680966, 0.440184840714675,          0.277148461253506, 1.46177539101005, 1.46177539101005,          0.962114901666907), PROX_MALL = c(1.41292867182356, 1.34630282297423,          1.37776203899083, 0.922177591154216, 0.922177591154216,          0.913300066979642, 0.885934538444454, 0.885934538444454,          0.693136328895784, 0.472532088410597, 0.815834004295584,          0.797799046209296, 0.802483711672914, 0.757457219803541,          0.844787863205902, 0.750703947848918, 0.815329638117364,          0.269774803261538, 0.269774803261538, 0.838333779631814         ), PROX_CHAS = c(0.375455350402476, 0.344403926608958,          0.293630149165848, 0.141741960002869, 0.141741960002869,          0.184868017131885, 0.161497017697243, 0.161497017697243,          0.120595382532287, 0.165961529218061, 0.0804697697946077,          0.0474151678735614, 0.187394625423847, 0.144412947448491,          0.0697008731150885, 4.64133788220832e-08, 0.179820414455961,          0.20472250196774, 0.20472250196774, 0.0950095589968322         ), PROX_SUPERMARKET = c(0.408205375796458, 0.381194313170787,          0.445162931243089, 0.141741503991008, 0.141741503991008,          0.247977273863763, 0.294310303883692, 0.294310303883692,          0.448117335537485, 0.447507928623339, 0.596048194106483,          0.635527990773791, 0.215556112381702, 0.204623167766534,          0.441950593919319, 0.609798994765399, 0.301981775400679,          0.35798039621586, 0.35798039621586, 0.190547463602814         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 2L, 2L,          2L, 2L, 2L, 1L, 0L, 0L, 2L, 2L, 0L, 0L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(0L, 0L, 0L, 4L, 4L, 3L,          3L, 3L, 2L, 4L, 3L, 3L, 3L, 3L, 2L, 3L, 4L, 6L, 6L, 2L         ), WITHIN_350M_BUS = c(2L, 2L, 0L, 6L, 6L, 5L, 4L, 4L,          6L, 7L, 6L, 6L, 9L, 9L, 8L, 5L, 7L, 6L, 6L, 6L), WITHIN_1KM_PRISCH = c(3L,          4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 3L, 3L, 4L, 4L, 3L,          3L, 3L, 3L, 3L, 2L), DNeighbour = c(0, 101.555068250491,          162.865745517955, 546.096333271614, 551.735287444209,          632.370784402749, 693.12065662508, 697.853380219613,          933.677934460107, 983.87815394286, 1106.32557621292,          1112.33360114246, 1115.23539355376, 1121.50174127068,          1137.71015222937, 1160.70522692615, 1248.85696687769,          1263.02527522625, 1272.78532021197, 1295.06872328073)), row.names = c("630",      "255", "671", "914", "429", "43", "651", "648", "778", "97",      "522", "274", "211", "971", "151", "941", "843", "316", "506",      "701"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.987739442037687,      0.968619778986077, 0.675998611741303, 0.669942754343437,      0.579991318570095, 0.509169389987841, 0.503583278756662,      0.230623897711216, 0.17879278852539, 0.0730294575636728,      0.0687971023446706, 0.0667902080361811, 0.0625405779526617,      0.0520972522895414, 0.0387050924490954, 0.00491295213395921,      0.00238858236982241, 0.00116394495331138, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7882760734 
R squared (OOB):                  0.2724244 

$Forests[[631]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 3e+05, 410000,      425000, 305000, 398000, 420000, 435000, 410000, 365000, 4e+05,      373000, 418000, 330000, 385000, 450000, 455000, 330000, 338000,      465000), floor_area_sqm = c(95, 85, 93, 93, 90, 92, 92, 92,      92, 91, 92, 92, 112, 105, 90, 93, 106, 104, 103, 106), storey_order = c(3L,      2L, 4L, 4L, 1L, 2L, 5L, 4L, 3L, 4L, 1L, 1L, 5L, 1L, 3L, 4L,      4L, 3L, 4L, 2L), remaining_lease_mths = c(1003, 979, 1117,      1126, 966, 1136, 1134, 1129, 1131, 1061, 1127, 1128, 904,      896, 1060, 950, 933, 847, 836, 933), PROX_CBD = c(17.7047470513727,      18.0119212314593, 17.3263676504413, 17.3263676504413, 18.0816861587931,      17.26435404508, 17.2397585888566, 17.2397585888566, 17.2397585888566,      17.5974072281911, 17.1731083577317, 17.1731083577317, 17.2048826778539,      17.9794873864528, 17.6242343596777, 17.4336546583772, 17.1634204962367,      18.238428451998, 18.1853470145009, 17.1401277939721), PROX_ELDERLYCARE = c(0.933045885854195,      1.25793892145158, 0.561119780492452, 0.561119780492452, 1.34637729166943,      0.542806768712765, 0.500148198332671, 0.500148198332671,      0.500148198332671, 0.819477307137174, 0.456899326246073,      0.456899326246073, 0.400468425457175, 1.20397588034421, 0.892136309268664,      0.825709875044437, 0.565792923614884, 1.49823830734066, 1.46334015610348,      0.586863575497558), PROX_HAWKER = c(1.00938993481846, 1.33204585660377,      0.631285601786086, 0.631285601786086, 1.41733367811242, 0.598096651463893,      0.55990768529081, 0.55990768529081, 0.55990768529081, 0.922900854400271,      0.507233229895407, 0.507233229895407, 0.498365875295267,      0.736691454978467, 0.816419857336687, 0.841716009165303,      0.666841975849823, 0.548143788898404, 0.490406092071559,      0.685044657792881), PROX_MRT = c(1.29287496569192, 1.54554013822754,      1.13344401626098, 1.13344401626098, 1.64690112478102, 1.20599959693509,      1.16124452414741, 1.16124452414741, 1.16124452414741, 0.830609903675807,      1.18009183772516, 1.18009183772516, 0.87869292375624, 1.05284557964442,      0.729175757939742, 0.463093751675267, 0.463116738810145,      0.950317003394984, 0.888080533877704, 0.418422993771755),          PROX_PARK = c(0.495314460898113, 0.23250554954982, 0.872985599051717,          0.872985599051717, 0.243247600736397, 0.937816003807321,          0.959994438388966, 0.959994438388966, 0.959994438388966,          0.751240825934154, 1.02763138312455, 1.02763138312455,          0.9054780070858, 0.555889077383573, 0.830497330619545,          0.609424449579261, 0.505224516024672, 0.690805332809177,          0.741201414908801, 0.454841043819919), PROX_GOOD_PRISCH = c(7.10206992983331,          7.41905192895776, 6.72174636420399, 6.72174636420399,          7.49669975318446, 6.66937916554136, 6.64012383316355,          6.64012383316355, 6.64012383316355, 6.95474206477502,          6.57664814247058, 6.57664814247058, 6.57740517739392,          7.33264137396139, 6.97273607492461, 6.77374769998522,          6.50789265243056, 7.58243576478886, 7.52724739525134,          6.48254224033906), PROX_MALL = c(0.790613232916467, 0.658794213245526,          0.530342726071102, 0.530342726071102, 0.694568288644574,          0.484724019608978, 0.450738515511335, 0.450738515511335,          0.450738515511335, 0.757845794253982, 0.392080122681935,          0.392080122681935, 0.446026044391999, 0.387548928263219,          0.671391539314818, 0.404491618549369, 0.353588302636786,          0.291730094824992, 0.362005799982455, 0.306862579253759         ), PROX_CHAS = c(0.40646651865696, 0.166262674114357,          0.254413742194056, 0.254413742194056, 0.119012364389208,          0.270084445320348, 0.221318263528924, 0.221318263528924,          0.221318263528924, 0.175468897673469, 0.214971829128206,          0.214971829128206, 0.130380344727655, 0.324283073315245,          0.0497500971788425, 0.260153188296123, 0.171584438209325,          0.0811018368302058, 0.11010335009361, 0.133156315003352         ), PROX_SUPERMARKET = c(0.260900811674997, 0.385510043100507,          0.529573977763673, 0.529573977763673, 0.485184742393951,          0.483753219919624, 0.449846933875903, 0.449846933875903,          0.449846933875903, 0.336744227428862, 0.391090025360665,          0.391090025360665, 0.445962312606475, 0.337417678694655,          0.442456788826315, 0.355873580059747, 0.320581809168482,          0.289827711639516, 0.36017462873485, 0.27639551573194         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 2L, 2L, 1L, 2L,          2L, 2L, 2L, 1L, 2L, 2L, 3L, 2L, 0L, 1L, 1L, 4L, 7L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 3L, 3L, 3L, 4L,          4L, 4L, 4L, 3L, 4L, 4L, 2L, 3L, 2L, 4L, 4L, 3L, 4L, 3L         ), WITHIN_350M_BUS = c(6L, 9L, 5L, 5L, 8L, 6L, 6L, 6L,          6L, 6L, 8L, 8L, 8L, 9L, 12L, 12L, 8L, 10L, 11L, 7L),          WITHIN_1KM_PRISCH = c(3L, 4L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 4L, 2L, 2L, 3L, 5L, 4L, 6L, 4L, 4L, 5L, 4L), DNeighbour = c(0,          329.349704251615, 373.855037181659, 374.585757863863,          429.785105851705, 433.685345042456, 455.293081964092,          455.7604085019, 460.879737922261, 481.513359522268, 521.67209306056,          523.413378519249, 569.280252218929, 600.47805885282,          618.430481144376, 846.197639947266, 886.214628975288,          888.656245609379, 897.855156453755, 930.098798829834)), row.names = c("631",      "228", "797", "925", "85", "847", "280", "290", "86", "720",      "507", "985", "889", "870", "300", "535", "991", "839", "857",      "530"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.764945941794626,      0.70297261222404, 0.70191290445395, 0.618546154809688, 0.61243785392335,      0.578177012785535, 0.577428798515696, 0.569214317513521,      0.535802569428502, 0.46979468387519, 0.466915425060221, 0.391096787841515,      0.340112826847857, 0.311248898066443, 0.0296790827907, 0.00848947879576688,      0.0075914562839645, 0.00464197034010413, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1462639469 
R squared (OOB):                  0.4143098 

$Forests[[632]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 370000, 368000,      385000, 368888, 350000, 331000, 375000, 340000, 310000, 390000,      395000, 350000, 568000, 315000, 350000, 380000, 350000, 320000,      530000), floor_area_sqm = c(96, 92, 92, 92, 92, 92, 107,      92, 92, 104, 93, 93, 104, 92, 104, 93, 93, 92, 105, 92),          storey_order = c(2L, 1L, 2L, 3L, 2L, 1L, 2L, 1L, 2L,          3L, 3L, 4L, 3L, 4L, 1L, 1L, 3L, 1L, 3L, 2L), remaining_lease_mths = c(1098,          1090, 1100, 1132, 1102, 1111, 869, 1139, 1133, 869, 1113,          1108, 812, 1117, 807, 1111, 1110, 1131, 815, 1108), PROX_CBD = c(15.0414874321427,          15.0414874321427, 14.9752079088984, 14.9536689261967,          14.8482953663728, 14.8482953663728, 15.2221855529023,          14.8395197777251, 14.8395197777251, 15.2437764157418,          14.6879879340018, 14.6649260398624, 14.8739209120931,          15.3987887594526, 15.3877172812078, 14.6221320584002,          14.607628567626, 14.6346875310408, 15.4421704385289,          15.4274201584828), PROX_ELDERLYCARE = c(0.180026828914976,          0.180026828914976, 0.199763345782594, 1.13414610370389e-06,          0.157028625587627, 0.157028625587627, 0.277621781700774,          0.143171284390361, 0.143171284390361, 0.313986883487753,          0.267910637295867, 0.374463671675583, 0.224374856243457,          0.578356799737993, 0.4433955665635, 0.410896008057539,          0.363539264939185, 0.318998242024868, 0.497101135842809,          0.637452860447804), PROX_HAWKER = c(0.135868389364205,          0.135868389364205, 0.202333554334061, 0.283688306330561,          0.332945546865787, 0.332945546865787, 0.252887916114098,          0.426817039061835, 0.426817039061835, 0.306302732963744,          0.507741768149319, 0.515424723672587, 0.490895901627697,          0.294909248784724, 0.342886316384117, 0.55845452984231,          0.571839614015762, 0.567748890704442, 0.380223054122965,          0.365463704587155), PROX_MRT = c(1.27219969611937, 1.27219969611937,          1.27457972333389, 1.45204946878565, 1.41585626072206,          1.41585626072206, 1.3991563615676, 1.58589972239689,          1.58589972239689, 1.43926724244883, 1.51619569366002,          1.31347134818138, 1.67344316225132, 0.921278705332003,          1.37085724211185, 1.30119397664661, 1.42703012637354,          1.53691575721219, 1.36083949137777, 0.843485398790606         ), PROX_PARK = c(0.270313948020077, 0.270313948020077,          0.259935562114549, 0.447466290733612, 0.40224168015695,          0.40224168015695, 0.500874596291267, 0.573834160005083,          0.573834160005083, 0.554495921895103, 0.573128508978659,          0.48594234877488, 0.671840643384197, 0.283836897691409,          0.57859629393417, 0.524601749565547, 0.592644125813336,          0.633519966923, 0.607675278354181, 0.308677700833154),          PROX_GOOD_PRISCH = c(5.69200203864946, 5.69200203864946,          5.6171537261999, 5.64958645026222, 5.51627049340211,          5.51627049340211, 5.9271396376627, 5.56483468018996,          5.56483468018996, 5.96162295702861, 5.38500296681299,          5.30673314037113, 5.63420261242257, 5.98797030068414,          6.09187968106835, 5.26427170666348, 5.28617698570013,          5.34297669438126, 6.14472917023144, 6.00000717285666),          PROX_MALL = c(0.767711199656331, 0.767711199656331, 0.689421511186311,          0.806257336881612, 0.649229394533883, 0.649229394533883,          1.02106462402642, 0.805396060532061, 0.805396060532061,          1.03199787585398, 0.626246838364162, 0.439421746266814,          0.927972955155417, 0.692287086677849, 0.900250825960545,          0.412850725186958, 0.523782484457491, 0.633302242537752,          0.860369947035052, 0.657665812567692), PROX_CHAS = c(0.163757574589084,          0.163757574589084, 0.230775629929228, 0.14456617920399,          0.274130336331615, 0.274130336331615, 0.0544459444778504,          0.204546662914522, 0.204546662914522, 4.60754704120663e-08,          0.160113448728027, 0.0969357032130768, 0.25243947150411,          0.0335692412129841, 0.147116034863504, 0.0938393111767789,          0.198893245072118, 0.120955806912261, 0.200516789487464,          0.0964991818226865), PROX_SUPERMARKET = c(0.197268674737732,          0.197268674737732, 0.264202614673064, 0.16127040484797,          0.296829834724774, 0.296829834724774, 0.0768892314501321,          0.280088374069707, 0.280088374069707, 0.0947293086454089,          0.300165340388346, 0.0969351949685631, 0.298947211163532,          0.352133387221186, 0.236697160290918, 0.0938384818523742,          0.223766299699327, 0.327836032489634, 0.291068212048821,          0.324468805261885), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L,          1L, 0L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 7L, 5L, 5L, 5L, 5L, 5L, 4L, 6L, 6L, 3L, 1L, 4L, 6L,          4L, 6L, 6L, 2L), WITHIN_350M_BUS = c(9L, 9L, 9L, 6L,          9L, 9L, 8L, 5L, 5L, 8L, 7L, 8L, 6L, 6L, 7L, 9L, 7L, 8L,          9L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 4L, 4L,          3L, 3L, 3L, 3L, 4L, 4L, 3L, 4L, 3L, 4L, 4L, 4L, 3L, 4L         ), DNeighbour = c(0, 5.09130667380015, 79.8548455612063,          179.860983284996, 204.105257212857, 204.153848557285,          289.198713366523, 315.374232676399, 317.453111031196,          339.30705904284, 377.159327367431, 389.980712942591,          403.085762129409, 407.701812161633, 421.266767300168,          430.874167926049, 438.15469085748, 441.782679943189,          463.353213366455, 479.516771888265)), row.names = c("632",      "793", "558", "139", "195", "762", "679", "152", "543", "578",      "469", "17", "602", "714", "895", "324", "452", "583", "586",      "712"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999774546788334,      0.945303356128629, 0.738411953983084, 0.670472666921496,      0.670331385568407, 0.404833132651248, 0.321989901923249,      0.315529451187545, 0.249299805461441, 0.145430990694564,      0.114635043781274, 0.0860705001768228, 0.0767849127419813,      0.0520735999968224, 0.0370914898358013, 0.0272498431828171,      0.022858841928763, 0.00439301184207049, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3719166393 
R squared (OOB):                  0.1073934 

$Forests[[633]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418000, 418888, 442500,      382000, 425000, 430000, 450000, 418000, 395000, 425000, 459000,      462000, 443000, 447888, 345000, 390000, 445000, 415000, 318000,      335000), floor_area_sqm = c(92, 92, 92, 93, 93, 92, 92, 92,      93, 93, 93, 93, 93, 93, 90, 92, 93, 92, 90, 102), storey_order = c(5L,      3L, 6L, 1L, 5L, 5L, 4L, 3L, 2L, 4L, 4L, 5L, 5L, 5L, 5L, 1L,      4L, 2L, 3L, 4L), remaining_lease_mths = c(1142, 1136, 1138,      1111, 1134, 1137, 1135, 1134, 1138, 1134, 1138, 1134, 1134,      1137, 937, 1132, 1133, 1132, 968, 940), PROX_CBD = c(14.4012043650842,      14.4158973706441, 14.4158973706441, 14.29200158436, 14.3486805845321,      14.2919055230493, 14.5310939664424, 14.318757359464, 14.318757359464,      14.318757359464, 14.1715462602585, 14.1475961545785, 14.1475961545785,      14.1475961545785, 14.2787185061121, 14.6424103631698, 14.1149653809405,      14.6122009832922, 14.1338242827509, 14.4474740114555), PROX_ELDERLYCARE = c(1.94149260139439,      1.86115765343828, 1.86115765343828, 2.00367987562091, 2.08279710659019,      2.08663557441472, 1.79186944623163, 2.13920478430288, 2.13920478430288,      2.13920478430288, 2.09595649451453, 2.03155968851809, 2.03155968851809,      2.03155968851809, 1.77826193055387, 1.72557175775889, 2.12564955085825,      1.68824062303628, 2.28550514148655, 1.50338082315219), PROX_HAWKER = c(0.977925494011815,      0.900970586039013, 0.900970586039013, 1.05572120633707, 1.11865892678262,      1.13160866269818, 0.816792492128141, 1.17625726432186, 1.17625726432186,      1.17625726432186, 1.11030496241672, 1.0452124348096, 1.0452124348096,      1.0452124348096, 0.865181709866835, 0.740384095011384, 1.06810792734919,      0.707122679385598, 1.19906286300234, 0.588144724666333),          PROX_MRT = c(0.117672709296806, 0.0830542408041225, 0.0830542408041225,          0.129588785375857, 0.228370105834555, 0.215635082050947,          0.197201307651512, 0.277525006355607, 0.277525006355607,          0.277525006355607, 0.236487582928319, 0.206896355650083,          0.206896355650083, 0.206896355650083, 0.14195902454703,          0.312698200175978, 0.282489779359316, 0.295449456212788,          0.414064606154384, 0.224566301285939), PROX_PARK = c(1.73691437359179,          1.70853765465547, 1.70853765465547, 1.659682039687, 1.76668334590621,          1.71136953372848, 1.79335149216305, 1.77227256709076,          1.77227256709076, 1.77227256709076, 1.59201213147604,          1.52292224478236, 1.52292224478236, 1.52292224478236,          1.51686048726609, 1.78460824921244, 1.55223981690243,          1.76906915549279, 1.68789157401301, 1.55939681176166),          PROX_GOOD_PRISCH = c(5.65284274036128, 5.62289607338158,          5.62289607338158, 5.57470277830303, 5.67955556528646,          5.62322031775431, 5.7030752613132, 5.68167095374807,          5.68167095374807, 5.68167095374807, 5.50129862889456,          5.43570837857945, 5.43570837857945, 5.43570837857945,          5.42826997650874, 5.77937603269072, 5.45814117537329,          5.7298925008129, 5.57754198399205, 5.45861643017911),          PROX_MALL = c(0.544441659044551, 0.475045953779526, 0.475045953779526,          0.462705775504015, 0.571430807201143, 0.517951444315281,          0.466036051693473, 0.582562895872492, 0.582562895872492,          0.582562895872492, 0.405991175981987, 0.329425359540921,          0.329425359540921, 0.329425359540921, 0.338911837083335,          0.482269498416602, 0.377565489031552, 0.426875162675013,          0.547412994688805, 0.12145856762689), PROX_CHAS = c(0.0706873614354785,          0.0420419616737589, 0.0420419616737589, 0.0888572682655253,          0.0590253437170886, 3.54155757628082e-08, 0.162368565956873,          0.0707174365033835, 0.0707174365033835, 0.0707174365033835,          0.12657377242065, 0.188783823394846, 0.188783823394846,          0.188783823394846, 0.18872293939054, 0.280031834846542,          0.179884741524278, 0.270793953405505, 0.219091723429967,          0.121458549123021), PROX_SUPERMARKET = c(0.0706874850207218,          0.0420421510628514, 0.0420421510628514, 0.124391003677116,          0.199153546859355, 0.199383936085002, 0.162368758687164,          0.25307995359875, 0.25307995359875, 0.25307995359875,          0.248308073473709, 0.235757849482592, 0.235757849482592,          0.235757849482592, 0.188722783027928, 0.280032026158491,          0.299769914037237, 0.270794118098451, 0.41091265647621,          0.134916350552101), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,          0L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(5L, 5L,          5L, 5L, 4L, 5L, 4L, 4L, 4L, 4L, 5L, 6L, 6L, 6L, 6L, 3L,          6L, 5L, 3L, 5L), WITHIN_350M_BUS = c(6L, 7L, 7L, 5L,          4L, 4L, 8L, 3L, 3L, 3L, 5L, 6L, 6L, 6L, 8L, 6L, 5L, 6L,          3L, 11L), WITHIN_1KM_PRISCH = c(3L, 4L, 4L, 4L, 3L, 3L,          3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 5L         ), DNeighbour = c(0, 77.3956378970327, 77.5268862831492,          105.929867926349, 140.437505340069, 160.269592425931,          177.810247138856, 192.599825175825, 198.4038758935, 201.840227621646,          238.046779144954, 246.707868430371, 250.240446679775,          251.413888149331, 260.906503977112, 293.413323707764,          296.645748767007, 297.526426312148, 378.071763971984,          453.857732261963)), row.names = c("633", "100", "33",      "989", "217", "267", "609", "58", "840", "205", "277", "207",      "966", "623", "329", "323", "519", "489", "120", "826"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.942685764941706, 0.94249409215755, 0.894017491215601, 0.817672866158614,      0.766151932778561, 0.716582765739556, 0.672264170727166,      0.654319110814191, 0.643561601468067, 0.525485013793113,      0.496349931691047, 0.484414098045063, 0.480444263695538,      0.448272160308631, 0.338786846343632, 0.328093601510455,      0.325189882951087, 0.0936853529975899, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1345014777 
R squared (OOB):                  0.2041129 

$Forests[[634]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 435000, 440000,      436000, 460000, 418000, 420000, 415000, 456500, 395000, 445000,      440000, 425000, 420000, 450000, 441000, 358000, 365000, 450000,      438000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 94, 94, 92, 94, 94, 94, 93, 93, 94, 93, 94), storey_order = c(5L,      2L, 8L, 7L, 7L, 6L, 6L, 8L, 8L, 4L, 6L, 5L, 6L, 7L, 7L, 6L,      1L, 1L, 9L, 5L), remaining_lease_mths = c(1132, 1128, 1142,      1139, 1125, 1129, 1142, 1140, 1144, 1113, 1109, 1124, 1119,      1120, 1119, 1097, 1103, 1095, 1136, 1076), PROX_CBD = c(12.042332185553,      12.042332185553, 12.042332185553, 12.042332185553, 12.02897658153,      12.02897658153, 12.02897658153, 12.02897658153, 11.9527102757424,      11.9744040829633, 12.1122271384014, 12.0234479092478, 11.9828723130509,      12.0119641769274, 12.0119641769274, 11.8078122246038, 11.8075546541859,      11.7965908296893, 12.1741021183779, 11.9414743986494), PROX_ELDERLYCARE = c(0.786890441142101,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.841755023464642, 0.819362766143575, 0.738781707341689,      0.629785153682861, 0.938035651111226, 0.710325725805382,      0.673044116243487, 0.673044116243487, 0.95260617550949, 0.922118515238085,      1.00802268588986, 0.519600844901231, 0.687500817542951),          PROX_HAWKER = c(0.369655971945997, 0.369655971945997,          0.369655971945997, 0.369655971945997, 0.409616357379742,          0.409616357379742, 0.409616357379742, 0.409616357379742,          0.27814297307049, 0.217370340361849, 0.337796349528525,          0.507473565259923, 0.20448046373977, 0.222580914455278,          0.222580914455278, 0.262687630178652, 0.209140712961875,          0.337854809554552, 0.375471053349032, 0.147098227142532         ), PROX_MRT = c(0.298263347673859, 0.298263347673859,          0.298263347673859, 0.298263347673859, 0.331072457322778,          0.331072457322778, 0.331072457322778, 0.331072457322778,          0.200702114351669, 0.167322140356011, 0.302747284955937,          0.394231498000209, 0.170867756883987, 0.201095784108649,          0.201095784108649, 0.173777829752023, 0.120215557602138,          0.249549573241666, 0.338849049026276, 0.183575431830776         ), PROX_PARK = c(0.542226246468638, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.529446955515876,          0.529446955515876, 0.529446955515876, 0.529446955515876,          0.643017670933737, 0.679906922269617, 0.576425078157325,          0.506408767470305, 0.697136724289492, 0.691047645736797,          0.691047645736797, 0.746013140888617, 0.747098338531098,          0.739061594864021, 0.612679613149166, 0.807374064658721         ), PROX_GOOD_PRISCH = c(2.36724315061599, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36775586018775,          2.270018309959, 2.27223739349538, 2.408030235171, 2.39172047379238,          2.27447890050516, 2.29976812492723, 2.29976812492723,          2.13533890725473, 2.12338877581429, 2.14271827973834,          2.45580221931744, 2.21615815400514), PROX_MALL = c(0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.358721564938295, 0.358721564938295, 0.358721564938295,          0.358721564938295, 0.232344363503357, 0.214069216816763,          0.350899017798137, 0.441394824612777, 0.220402811054307,          0.251262654177611, 0.251262654177611, 0.17025857997445,          0.119447773727589, 0.241737870027575, 0.416829357908565,          0.22663965361209), PROX_CHAS = c(0.236223262451169, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.25157977989641,          0.146038815472653, 0.0939357367291076, 0.0703863092474096,          0.223839041128234, 0.0995919009989899, 0.131248018016709,          0.131248018016709, 0.170258520163124, 0.11944771257822,          0.101692541492014, 0.0461624602204791, 0.156140837156126         ), PROX_SUPERMARKET = c(0.33849828517841, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.314501000490003,          0.237998550380205, 0.22318738818849, 0.360308355053667,          0.244018176385425, 0.230351837454113, 0.261515416493987,          0.261515416493987, 0.168966076328732, 0.119571834445138,          0.17897337633635, 0.427183407476201, 0.236998053946951         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 5L, 7L, 7L, 2L, 6L, 6L, 6L, 4L, 4L, 3L, 7L, 6L         ), WITHIN_350M_BUS = c(10L, 10L, 10L, 10L, 11L, 11L,          11L, 11L, 12L, 10L, 7L, 10L, 7L, 6L, 6L, 11L, 10L, 9L,          5L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 3.60206907205907, 4.95623543416996,          6.18234906846411, 62.1513817967966, 62.4463550220621,          65.6842030026322, 66.2156180532617, 108.664482697762,          162.198838561171, 170.306407574272, 179.602845751358,          192.299751633894, 212.276239804944, 216.815079908667,          235.153673187813, 243.04492853542, 252.012033393935,          277.878285656791, 334.302525016674)), row.names = c("634",      "908", "16", "573", "874", "700", "318", "287", "749", "858",      "607", "502", "203", "167", "947", "439", "724", "41", "621",      "781"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99976781746759,      0.999560451494939, 0.999316114404905, 0.932066936393071,      0.93143205440004, 0.924280517154999, 0.92307495681177, 0.799850426568095,      0.58460511333456, 0.548300161180811, 0.506041940040571, 0.447713809439153,      0.356166987646753, 0.335670256676906, 0.255233337744578,      0.222256225364517, 0.186381173731692, 0.0955283382661403,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       775991786 
R squared (OOB):                  -0.0428199 

$Forests[[635]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(448000, 565000, 5e+05,      648000, 630000, 638000, 485000, 560000, 588000, 670000, 520000,      410000, 548000, 439000, 430000, 516000, 440000, 450000, 420000,      435000), floor_area_sqm = c(105, 103, 105, 116, 102, 102,      103, 104, 95, 94, 108, 97, 95, 97, 93, 98, 92, 92, 91, 98     ), storey_order = c(1L, 4L, 2L, 4L, 6L, 9L, 2L, 3L, 3L, 6L,      1L, 4L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 1L), remaining_lease_mths = c(866,      852, 857, 871, 870, 869, 855, 851, 1025, 1104, 860, 665,      981, 669, 728, 698, 677, 679, 742, 692), PROX_CBD = c(8.05276498978228,      8.19182633034048, 8.19182633034048, 8.27332873959955, 7.86314261154951,      7.86314261154951, 7.70120549943486, 7.6651195249001, 8.51090417959469,      8.58683984966127, 7.50210394472385, 8.66747718420982, 8.37940280964872,      8.73211086874077, 8.20083785223568, 8.70928269501252, 8.7589377611275,      8.7589377611275, 8.31995738049774, 8.85689554561162), PROX_ELDERLYCARE = c(0.599632276485302,      0.444818640633349, 0.444818640633349, 0.354571010374291,      0.731462959428347, 0.731462959428347, 0.883817181840043,      0.216787702409289, 0.120425912751251, 0.203840329735754,      0.808331791227546, 0.0441159965049124, 0.335901694998922,      0.292319821872094, 0.41240614163537, 0.119444653145476, 0.169235371196244,      0.169235371196244, 0.259768432786295, 0.272187629818594),          PROX_HAWKER = c(0.560005371648267, 0.553760551741158,          0.553760551741158, 0.610975272844239, 0.573870222021737,          0.573870222021737, 0.72907919143595, 0.778265933598076,          0.166697492306482, 0.433030813326955, 0.932792437987216,          0.357845486047337, 0.203869560106314, 0.436547444862961,          0.35604829505958, 0.281172749103646, 0.330091511745513,          0.330091511745513, 0.387410687724852, 0.446318851105742         ), PROX_MRT = c(1.12051759514643, 1.08457427678223, 1.08457427678223,          1.0936063211659, 0.85984195598231, 0.85984195598231,          0.692418360175919, 0.910191895307983, 0.608243230971526,          0.751078096441513, 0.506174946521629, 0.874328108605637,          0.62312262100292, 0.600073719023998, 0.805467939952349,          0.379410256905797, 0.338391484905848, 0.338391484905848,          0.705543842504761, 0.372678744867538), PROX_PARK = c(0.30128672956265,          0.374102285306053, 0.374102285306053, 0.477465658778908,          0.281207712521794, 0.281207712521794, 0.450335295656325,          0.361681715476141, 0.368529270986479, 0.52118662053352,          0.621272392201987, 0.691303172853456, 0.394842599629624,          0.617507126900098, 0.393072899865764, 0.513364518506117,          0.469340752260783, 0.469340752260783, 0.517920409018535,          0.479885299937475), PROX_GOOD_PRISCH = c(0.631981624625733,          0.769163347741007, 0.769163347741007, 0.856939381531897,          0.562813849840511, 0.562813849840511, 0.490611064856358,          0.353240700451805, 1.13331232297991, 1.16640042723588,          0.343243332218702, 1.23754792076915, 1.14854892992093,          1.31940815963163, 1.04754826657838, 1.35677240305411,          1.40615721612308, 1.40615721612308, 1.20021801549651,          1.47413984574199), PROX_MALL = c(1.07178760783233, 0.997182626507123,          0.997182626507123, 0.991200103712322, 0.943364056194349,          0.943364056194349, 0.779066462317335, 0.987031177772312,          0.540250505232014, 0.632538285087724, 0.584674138925751,          0.740457696387364, 0.651389947232486, 0.469553394647833,          0.844084234929545, 0.313890580083005, 0.264395031718586,          0.264395031718586, 0.768764019555169, 0.241772845363545         ), PROX_CHAS = c(0.167974733321899, 0.311461966699573,          0.311461966699573, 0.413431749899638, 0.201852081003395,          0.201852081003395, 0.0405139203460024, 0.371562543403755,          0.0869956868442428, 0.237191200694799, 0.169910439255117,          0.34300149800099, 0.11938167830482, 0.0664211666443358,          0.0460460495231756, 0.112175615725657, 0.0806835690144568,          0.0806835690144568, 0.1066489590073, 0.157458356405151         ), PROX_SUPERMARKET = c(0.372458117254617, 0.485938543293979,          0.485938543293979, 0.502190497784501, 0.115543350477338,          0.115543350477338, 0.0588346413192393, 0.176585087131714,          0.0869967242830128, 0.35437102597818, 0.26407208892283,          0.158725757407685, 0.282093113359979, 0.350370254212894,          0.436961702644775, 0.221335227738319, 0.24726445439454,          0.24726445439454, 0.284909088626731, 0.224853982916395         ), WITHIN_350M_KINDERGARTEN = c(3L, 0L, 0L, 0L, 4L, 4L,          4L, 0L, 2L, 1L, 2L, 0L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 2L, 4L, 3L, 3L,          4L, 1L, 6L, 5L, 3L, 2L, 4L, 6L, 2L, 7L, 8L, 8L, 3L, 7L         ), WITHIN_350M_BUS = c(5L, 7L, 7L, 8L, 2L, 2L, 4L, 5L,          5L, 4L, 4L, 5L, 6L, 7L, 7L, 6L, 6L, 6L, 7L, 7L), WITHIN_1KM_PRISCH = c(1L,          2L, 2L, 2L, 2L, 2L, 2L, 0L, 3L, 2L, 1L, 2L, 3L, 3L, 2L,          4L, 3L, 3L, 2L, 3L), DNeighbour = c(0, 157.699394650271,          159.872874994149, 274.50472285989, 360.681385284487,          362.129885001718, 507.082148623376, 509.301004210294,          533.181140067546, 534.820082864846, 628.854066138777,          631.535204821496, 680.418522033818, 684.843936967098,          687.18261352205, 758.68440663777, 808.608339036691, 811.53917471566,          816.794581553533, 853.155527906541)), row.names = c("635",      "128", "674", "795", "476", "931", "811", "935", "94", "149",      "460", "331", "998", "842", "79", "446", "386", "194", "716",      "397"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.932833872215999,      0.931002988486051, 0.803668287050007, 0.674488749559914,      0.672128142116811, 0.418266566272477, 0.414268544986429,      0.371411218929408, 0.368485861521877, 0.208570749473757,      0.204351733657637, 0.13245472061524, 0.126481667517968, 0.123365505484819,      0.043765221091165, 0.0103434731949003, 0.00905908636552212,      0.00695928324417381, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5438538292 
R squared (OOB):                  0.2394884 

$Forests[[636]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(359000, 295000, 375000,      380000, 418000, 365000, 310000, 308000, 280000, 398000, 355000,      355000, 3e+05, 327000, 318000, 313000, 315000, 380000, 350000,      395000), floor_area_sqm = c(103, 83, 104, 108, 104, 103,      84, 84, 84, 104, 104, 104, 85, 84, 84, 84, 104, 92, 93, 93     ), storey_order = c(1L, 1L, 1L, 2L, 1L, 4L, 2L, 1L, 4L, 3L,      2L, 4L, 4L, 1L, 1L, 4L, 4L, 2L, 1L, 4L), remaining_lease_mths = c(799,      812, 808, 807, 794, 805, 787, 779, 809, 823, 785, 814, 798,      802, 785, 772, 777, 1142, 1111, 1108), PROX_CBD = c(14.1470244070667,      14.136177090114, 14.2674761918172, 14.3069689320192, 14.6249352309891,      14.5082496767788, 14.7686155241139, 14.8104288104214, 14.5514247745221,      14.4215550437188, 14.7946380504301, 14.9797222810306, 14.6468242567931,      15.395293903354, 15.4237712873611, 15.5029529482698, 15.5029529482698,      14.4940333615496, 14.6221320584002, 14.6649260398624), PROX_ELDERLYCARE = c(1.73443513584582,      1.52241617566094, 1.37520258101488, 1.30284795398611, 1.66362706878828,      1.0960579077266, 1.18091019396193, 1.14385816982861, 0.934928905143492,      0.933706769700102, 1.02543356664281, 1.40865121451131, 0.791783477476035,      1.48326161455178, 1.66429806880172, 1.60634233373903, 1.60634233373903,      0.500918112427577, 0.410896008057539, 0.374463671675583),          PROX_HAWKER = c(1.71810403079302, 1.5304212921709, 1.3725902814614,          1.30042856091519, 1.46189875323845, 1.06968967826483,          1.07995965555937, 1.03493347869974, 0.920905853639359,          0.964097104531415, 0.927587772885235, 1.17708155532767,          0.771377618176498, 0.763118949388798, 0.663653920640621,          0.592613874358246, 0.592613874358246, 0.682637638745144,          0.55845452984231, 0.515424723672587), PROX_MRT = c(0.316955810938843,          0.407136749273107, 0.392323251912074, 0.431073100471927,          0.177135615746217, 0.541381135472874, 0.495669019430354,          0.547659244513397, 0.702240402731505, 0.766580328668093,          0.635923545376501, 0.541117453484526, 0.834242720427877,          0.486709870425329, 0.641519249244255, 0.579811001445256,          0.579811001445256, 1.32800225952209, 1.30119397664661,          1.31347134818138), PROX_PARK = c(0.521638252737905, 0.646645557650639,          0.808406007535371, 0.87843358408359, 0.967683324465338,          0.854937524579578, 0.837021679605882, 0.79060261488636,          0.717751277212032, 0.786856267919922, 0.687013904416796,          0.869949400509587, 0.572284771964545, 0.736647900507106,          0.527546900647844, 0.518465718930498, 0.518465718930498,          0.65941869562705, 0.524601749565547, 0.48594234877488         ), PROX_GOOD_PRISCH = c(4.5417585858835, 4.56541244462189,          4.71060068854172, 4.7599521059868, 5.00900650468442,          4.9821455258424, 5.21242267662931, 5.2589313064801, 5.05486565817651,          4.94298421634201, 5.2635668385575, 5.38873705701154,          5.17213285521296, 5.79164197089728, 5.79932453842233,          5.8805780078001, 5.8805780078001, 5.15263130971644, 5.26427170666348,          5.30673314037113), PROX_MALL = c(0.958986678954386, 0.730402721918488,          0.598720745421956, 0.530519583310388, 1.02277508016934,          0.395836928017505, 0.644074766251318, 0.641907311269237,          0.264439990658005, 0.158055972255249, 0.540570027720398,          0.857174016474006, 0.253080993480643, 0.561468969675593,          0.726704111983395, 0.667352945771092, 0.667352945771092,          0.407798057490129, 0.412850725186958, 0.439421746266814         ), PROX_CHAS = c(0.262672355720334, 0.0978085819739089,          0.0989632897848068, 0.141608811196257, 0.253202817693943,          0.111998728732921, 0.305551557127515, 0.273160540123658,          0.0412741280494288, 0.110909163864147, 0.151656769473437,          0.0593781975043205, 0.118994056415591, 0.1019571402223,          0.11942955396425, 0.128101303359069, 0.128101303359069,          0.0559452214520875, 0.0938393111767789, 0.0969357032130768         ), PROX_SUPERMARKET = c(0.246179282205813, 0.152757697669253,          0.13781747249929, 0.179396317901182, 0.177136085505812,          0.321173728185784, 0.397697747354111, 0.406551385550075,          0.259076961683863, 0.155031856949385, 0.505826018716947,          0.101389584423307, 0.246822057901315, 0.0953919744611677,          0.307102160965552, 0.314517101025506, 0.314517101025506,          0.202112654374605, 0.0938384818523742, 0.0969351949685631         ), WITHIN_350M_KINDERGARTEN = c(3L, 3L, 3L, 2L, 1L, 0L,          1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 7L, 7L, 7L, 1L, 4L,          3L, 2L, 4L, 3L, 5L, 3L, 5L, 2L, 3L, 2L, 2L, 4L, 6L, 6L         ), WITHIN_350M_BUS = c(6L, 7L, 6L, 7L, 9L, 8L, 8L, 7L,          7L, 10L, 8L, 10L, 9L, 9L, 11L, 10L, 10L, 9L, 9L, 8L),          WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 3L, 2L, 3L, 3L, 4L,          2L, 2L, 3L, 4L, 3L, 4L, 4L, 3L, 3L, 3L, 4L, 4L), DNeighbour = c(0,          245.603375846146, 368.426558267465, 441.940219699006,          487.159334589631, 655.673547293992, 741.092217587683,          796.945995239863, 807.9951203207, 811.565866920266, 853.150808868789,          855.910802698343, 956.145150420074, 1255.33698673456,          1288.37644755637, 1362.04327681417, 1363.4418089932,          1372.5613242213, 1373.8732816316, 1391.36175448021)), row.names = c("636",      "665", "377", "341", "30", "884", "101", "396", "253", "546",      "424", "984", "862", "556", "293", "587", "162", "702", "324",      "17"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.938652184010819,      0.86468287136979, 0.808399289331914, 0.7698448954779, 0.605170860351338,      0.513080967048659, 0.451478612038021, 0.43925259563573, 0.435301809499906,      0.389393670028505, 0.386358651013298, 0.278525153990048,      0.0345847596817648, 0.0203224013897257, 0.0017388526850724,      0.00157852025404223, 0.000720488803053275, 0.00062403310610187,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1406763029 
R squared (OOB):                  0.08241567 

$Forests[[637]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 355000, 359900,      245000, 3e+05, 270000, 279000, 255000, 305000, 250000, 316000,      318000, 375000, 265000, 298000, 303888, 275000, 297000, 325000,      330000), floor_area_sqm = c(93, 93, 93, 88, 96, 97, 91, 91,      91, 97, 92, 91, 92, 91, 93, 93, 98, 91, 91, 103), storey_order = c(5L,      3L, 3L, 2L, 4L, 2L, 2L, 4L, 4L, 4L, 3L, 1L, 4L, 2L, 1L, 2L,      4L, 3L, 4L, 2L), remaining_lease_mths = c(1106, 1111, 1117,      668, 791, 687, 801, 686, 791, 708, 781, 765, 783, 724, 777,      782, 689, 788, 780, 773), PROX_CBD = c(18.8127816342995,      18.8127816342995, 18.8127816342995, 18.8842060529579, 18.5761736305699,      19.1998859465191, 18.2989051402725, 19.1428796063974, 18.2610111258248,      19.2477081153014, 18.2234963781047, 18.2234963781047, 18.1857629477019,      19.4237844042343, 18.5252470382495, 18.5252470382495, 19.3611499271018,      18.1476771148045, 18.1476771148045, 18.4499801912104), PROX_ELDERLYCARE = c(0.176499517448139,      0.176499517448139, 0.176499517448139, 0.229103995883471,      0.0638277150498875, 0.482976337773198, 0.397078044127006,      0.457204003422965, 0.421521882373529, 0.533620939869422,      0.448333702611612, 0.448333702611612, 0.47723779098819, 0.695760303539868,      0.449194476018676, 0.449194476018676, 0.67405856369397, 0.519546459890619,      0.519546459890619, 0.504778052376495), PROX_HAWKER = c(0.325560722493799,      0.325560722493799, 0.325560722493799, 0.280513302960552,      0.562029876499453, 0.407382567332432, 0.491047773869601,      0.491246203286744, 0.453171307776496, 0.435575948420033,      0.416527045274471, 0.416527045274471, 0.380157991945912,      0.430278742731878, 0.69553534809229, 0.69553534809229, 0.578426076793613,      0.209390724873544, 0.209390724873544, 0.652207052169444),          PROX_MRT = c(1.04083770509984, 1.04083770509984, 1.04083770509984,          1.03601464731326, 0.874368880716004, 1.13705578024219,          0.552168886353884, 1.0490560030484, 0.547550551918807,          1.17336842789895, 0.545975779093886, 0.545975779093886,          0.548087095608087, 1.37619150821735, 0.398456142880405,          0.398456142880405, 1.24242318119045, 0.491311596778589,          0.491311596778589, 0.322534237265928), PROX_PARK = c(0.51923222906617,          0.51923222906617, 0.51923222906617, 0.579556587207627,          0.287868908027907, 0.708199402424467, 0.287159802467115,          0.602588748705797, 0.272660801967067, 0.715290586226954,          0.264257474455249, 0.264257474455249, 0.261695126667213,          0.899998771522662, 0.491317901173298, 0.491317901173298,          0.694921724836528, 0.270911567278729, 0.270911567278729,          0.536975621309476), PROX_GOOD_PRISCH = c(9.7422556358987,          9.7422556358987, 9.7422556358987, 9.83133063879426, 9.51590189269927,          10.205087741046, 9.19982386356694, 10.1724586401982,          9.16752282736586, 10.2559210914134, 9.1355701416359,          9.1355701416359, 9.10363750169146, 10.4013344251086,          9.63394268044443, 9.63394268044443, 10.393420977377,          9.18618174729203, 9.18618174729203, 9.56762880935522),          PROX_MALL = c(0.856774663098642, 0.856774663098642, 0.856774663098642,          0.91348864249693, 0.624506085881379, 1.23204265332191,          0.486326630506135, 1.19002137667581, 0.448092738738542,          1.28177138580973, 0.411037179701155, 0.411037179701155,          0.374195605351922, 1.44800971701603, 0.705200807731176,          0.705200807731176, 1.41164243574585, 0.218975149940797,          0.218975149940797, 0.662291407978718), PROX_CHAS = c(0.2593611752042,          0.2593611752042, 0.2593611752042, 0.241229981070425,          0.0792988689034794, 0.377747950290313, 0.0660681856594747,          0.472048134528426, 0.0964740211655948, 0.34509608786971,          0.132763801624598, 0.132763801624598, 0.172021358032342,          0.141128343720225, 0.240425442805127, 0.240425442805127,          0.346579909600863, 0.218975205360203, 0.218975205360203,          0.201478871858691), PROX_SUPERMARKET = c(0.856773769273042,          0.856773769273042, 0.856773769273042, 0.911876453557648,          0.625539331690589, 1.12464344461301, 0.490326509583637,          1.03656246660954, 0.457654559995222, 1.16090501353567,          0.421116980529575, 0.421116980529575, 0.38486207983901,          1.36375821567757, 0.386130046709882, 0.386130046709882,          1.22987785443232, 0.206881250620068, 0.206881250620068,          0.310351384739933), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 2L, 0L, 2L, 0L, 2L, 0L, 0L, 0L, 1L, 0L,          0L, 2L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 0L, 1L, 1L,          2L, 3L, 3L, 2L), WITHIN_350M_BUS = c(16L, 16L, 16L, 13L,          10L, 10L, 6L, 6L, 6L, 9L, 6L, 6L, 4L, 6L, 8L, 8L, 8L,          7L, 7L, 9L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 2L,          1L, 4L, 1L, 4L, 0L, 4L, 4L, 4L, 0L, 2L, 2L, 0L, 3L, 3L,          2L), DNeighbour = c(0, 5.16076826546253, 8.61861880559929,          116.005720408717, 229.643961072573, 534.175906681675,          537.40724266078, 559.556301870004, 569.139270713536,          574.08192368404, 599.004998402944, 601.490163694298,          637.454002015163, 678.322733394364, 704.587573135729,          708.845761689623, 737.06608352254, 739.003748506226,          744.342086579921, 759.188036284068)), row.names = c("637",      "418", "604", "96", "78", "193", "433", "484", "905", "981",      "202", "47", "733", "2", "11", "106", "972", "827", "944",      "810"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999907583404269,      0.999742261887645, 0.953848035399231, 0.825375981167425,      0.254950540005983, 0.248919726940318, 0.208632976285879,      0.191841642945608, 0.183349734902907, 0.14248154869695, 0.138600596795522,      0.087015541479545, 0.0406770291647973, 0.0192284485012273,      0.0164414590274224, 0.00329807264336198, 0.00275273407731954,      0.00149983268724709, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       893186707 
R squared (OOB):                  0.426978 

$Forests[[638]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(364000, 320000, 350000,      339000, 330000, 345000, 345000, 315000, 325000, 333000, 313000,      305000, 320000, 360000, 335000, 340000, 337000, 338000, 358000,      324000), floor_area_sqm = c(100, 101, 102, 102, 102, 102,      102, 102, 91, 103, 99, 99, 100, 105, 100, 105, 105, 102,      101, 90), storey_order = c(2L, 1L, 4L, 3L, 1L, 4L, 2L, 2L,      2L, 1L, 4L, 1L, 4L, 3L, 4L, 1L, 1L, 4L, 3L, 4L), remaining_lease_mths = c(921,      924, 923, 923, 911, 926, 927, 913, 970, 953, 918, 921, 930,      960, 930, 956, 947, 922, 960, 929), PROX_CBD = c(17.9386403893839,      18.0902268845521, 18.0569924715364, 17.9456645257603, 18.2320763538069,      18.236688278315, 18.2868848905217, 17.9994058772431, 17.7083177660008,      17.7412802518209, 17.8728040148932, 17.9733391318796, 18.242108360018,      17.6410789876396, 17.9186379864086, 17.6472423100513, 17.5852868111176,      18.1611534549189, 17.5852868111176, 18.3448727328387), PROX_ELDERLYCARE = c(0.714833653499633,      0.706169610995159, 0.59750504274373, 0.476454782767532, 0.927534095024191,      0.732088251039709, 0.896456720381782, 0.430537495183344,      0.378187975507624, 1.00357172816211, 0.330981516384048, 0.376016337241346,      1.08331104464233, 0.969292416022308, 1.13507400842797, 1.0260991137238,      0.979721953613503, 0.519233937445895, 0.979721953613503,      1.12000720290482), PROX_HAWKER = c(0.201936965562497, 0.370412154176866,      0.391180253405874, 0.3648710200987, 0.493410913505403, 0.537987121264097,      0.547085889030319, 0.472244893923117, 0.340346390827249,      0.286367973105455, 0.446535534086157, 0.501520555884575,      0.548257960059823, 0.270187519380927, 0.435091735724103,      0.322354465675231, 0.300047945510982, 0.617364695979906,      0.300047945510982, 0.636376603494217), PROX_MRT = c(0.168914117564514,      0.341202563029131, 0.384524332485438, 0.385567417899789,      0.433316978327494, 0.511061821383635, 0.495991449430539,      0.492638498779759, 0.403335562748004, 0.240079810641839,      0.4868918768976, 0.52882455357406, 0.47401652613315, 0.253083991654003,      0.364011265623101, 0.296963624455722, 0.294966346549802,      0.623413162025338, 0.294966346549802, 0.565211037998289),          PROX_PARK = c(1.99379565561889, 1.8531048262974, 1.77011013021076,          1.76180373116006, 1.96114614265628, 1.7164330470264,          1.86697967968657, 1.65421298847909, 1.86766019581863,          2.28949331488756, 1.69875568186822, 1.62685700377268,          2.12857307310705, 2.26013213847351, 2.31505119222808,          2.2163258228061, 2.22462050149276, 1.52418818882418,          2.22462050149276, 2.08056453235766), PROX_GOOD_PRISCH = c(8.4444135457925,          8.60631027953587, 8.58956131155308, 8.49089982759618,          8.72297519828522, 8.76378557853615, 8.78822500750919,          8.5589292690065, 8.26299778187914, 8.20478390995202,          8.43952013253886, 8.54142359534323, 8.71021480286832,          8.10977708422392, 8.3676789538936, 8.10862356805264,          8.05369522760851, 8.72758527833631, 8.05369522760851,          8.81498363377987), PROX_MALL = c(0.238372860218233, 0.342860958869265,          0.407254736414821, 0.428159644756295, 0.22704735136933,          0.240339889961931, 0.1450338527091, 0.446560923090423,          0.335143296665789, 0.222110908162432, 0.330972758922268,          0.395841490391381, 0.347669457974494, 0.204458422444813,          0.384238747959315, 0.255877276101632, 0.237472256939882,          0.475604736810637, 0.237472256939882, 0.284195187673565         ), PROX_CHAS = c(0.076984763134016, 0.209799590563819,          0.222103720735081, 0.218909691095897, 0.11607611654581,          0.184864523484869, 0.0217240252323136, 0.324811070171065,          0.30242004444134, 0.222110881748482, 0.330972805611547,          0.364030465322827, 0.274735402884708, 0.201289943337815,          0.360842629752134, 0.212266026856788, 0.145295883687343,          0.405258493214775, 0.145295883687343, 0.24769320941352         ), PROX_SUPERMARKET = c(0.171190500184261, 0.342860053820009,          0.385535197909366, 0.365864675212809, 0.227046556279957,          0.240339157209448, 0.145032957963293, 0.408691343873882,          0.332189289926598, 0.222110358133712, 0.300218301814749,          0.356071330024396, 0.347668959247477, 0.204457160029983,          0.360842909613722, 0.255876154174577, 0.237470779768967,          0.475604214408431, 0.237470779768967, 0.284194910851331         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 2L, 1L, 2L, 2L,          2L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 2L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 4L, 3L, 5L, 6L,          7L, 4L, 6L, 5L, 4L, 3L, 3L, 5L, 1L, 6L, 5L, 5L, 5L, 5L         ), WITHIN_350M_BUS = c(8L, 7L, 9L, 8L, 10L, 7L, 9L, 9L,          7L, 16L, 8L, 11L, 7L, 15L, 11L, 13L, 15L, 10L, 15L, 8L         ), WITHIN_1KM_PRISCH = c(5L, 5L, 6L, 6L, 4L, 6L, 4L,          7L, 5L, 4L, 7L, 7L, 4L, 4L, 3L, 4L, 4L, 6L, 4L, 4L),          DNeighbour = c(0, 174.429371691038, 226.98929408245,          257.679969600893, 305.293566419764, 340.830780301011,          346.012691640418, 356.265203524598, 373.47908847105,          385.4494318834, 390.988207556909, 401.438841864051, 407.838797443448,          417.951746783283, 442.702830289332, 458.491438990829,          462.203620639172, 468.454293932971, 469.083849410221,          474.87135003657)), row.names = c("638", "74", "491",      "20", "443", "227", "787", "177", "544", "242", "992", "179",      "608", "615", "590", "554", "800", "330", "224", "512"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.748357513537481, 0.595234488037703, 0.497802882877191,      0.344196831722267, 0.235088751389694, 0.220032565547449,      0.19109762263395, 0.145497765500242, 0.116387118668756, 0.10373860894737,      0.0814307765064104, 0.068849989696407, 0.0507867811102916,      0.0171332853889315, 0.00459642490394106, 0.00277103720741572,      0.000720594727449438, 0.00058692281794047, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       290050929 
R squared (OOB):                  -0.1117098 

$Forests[[639]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(393000, 455000, 448000,      450000, 395000, 415000, 360000, 420000, 405000, 430000, 405000,      410000, 430000, 495000, 412000, 362500, 380000, 537000, 425000,      518000), floor_area_sqm = c(103, 113, 116, 106, 106, 103,      84, 112, 105, 104, 104, 106, 107, 93, 104, 103, 106, 93,      104, 93), storey_order = c(2L, 5L, 3L, 4L, 2L, 3L, 3L, 4L,      3L, 2L, 2L, 2L, 4L, 2L, 2L, 3L, 1L, 4L, 3L, 2L), remaining_lease_mths = c(818,      824, 827, 834, 834, 834, 811, 866, 856, 861, 862, 871, 868,      1131, 878, 819, 887, 1128, 871, 1132), PROX_CBD = c(14.8805910833212,      14.8805910833212, 15.1039483662242, 15.1256206124729, 15.1256206124729,      15.1256206124729, 14.7472020389823, 15.3605597168545, 15.3605597168545,      15.4019609662575, 15.4019609662575, 15.428944563277, 15.2985874116244,      14.1234549986629, 14.1313829663274, 14.3801998083441, 15.0291078847704,      14.1022978560303, 14.0236082538335, 14.0392008059995), PROX_ELDERLYCARE = c(1.53481387371296,      1.53481387371296, 1.55233595008815, 1.5866097118695, 1.5866097118695,      1.5866097118695, 1.19052284520552, 1.7630974884403, 1.7630974884403,      1.7026350967472, 1.7026350967472, 1.63977306379889, 1.41400995500373,      1.35242241046818, 0.836104821253693, 0.709377020411434, 1.09928331705025,      1.39999761805574, 1.09340394122649, 1.32747908409073), PROX_HAWKER = c(0.395563323563994,      0.395563323563994, 0.672854909342646, 0.674198133913936,      0.674198133913936, 0.674198133913936, 0.606039227085063,      0.874437271649647, 0.874437271649647, 0.985391408166863,      0.985391408166863, 1.09717995764468, 1.16406043263713, 0.458626901673037,      0.73352935155883, 0.928921275219278, 1.15922930524208, 0.488105393549706,      0.594999289424802, 0.543253862226502), PROX_MRT = c(0.650195396152393,      0.650195396152393, 0.927742831261867, 0.930587839854138,      0.930587839854138, 0.930587839854138, 0.807097621625513,      1.13238128237287, 1.13238128237287, 1.24252861976923, 1.24252861976923,      1.35104476777798, 1.40304810962874, 0.250036690549804, 0.735653331318593,      1.02650412956774, 1.36685465541241, 0.255700458734308, 0.469886084443941,      0.327704984287647), PROX_PARK = c(0.355836862982211, 0.355836862982211,      0.613453702116727, 0.625625874274951, 0.625625874274951,      0.625625874274951, 0.432698189125414, 0.852232892319188,      0.852232892319188, 0.934356673366442, 0.934356673366442,      1.02148060415503, 0.98341166564854, 0.469588575534173, 0.463826523913091,      0.71485218383349, 0.808345234949979, 0.52092144022497, 0.504422356794811,      0.547177414231792), PROX_GOOD_PRISCH = c(3.33079371618761,      3.33079371618761, 3.51513652285447, 3.54140201350838, 3.54140201350838,      3.54140201350838, 3.13467644284063, 3.77322944876988, 3.77322944876988,      3.78947597459801, 3.78947597459801, 3.79601078940401, 3.64472604970499,      2.69456588548322, 2.52734391167264, 2.72778429145315, 3.36640767040689,      2.69832814229385, 2.51794344218072, 2.61966269686357), PROX_MALL = c(0.390496575840073,      0.390496575840073, 0.472438990852491, 0.445444903624544,      0.445444903624544, 0.445444903624544, 0.738705771798207,      0.502295694435402, 0.502295694435402, 0.656741946143406,      0.656741946143406, 0.809004632748584, 0.597111778941966,      0.232476208076891, 0.66282583229379, 0.949257633150117, 0.486526360127578,      0.257523814996123, 0.418819234777705, 0.316340524018432),          PROX_CHAS = c(0.448788349522024, 0.448788349522024, 0.353464796953762,          0.387886097439527, 0.387886097439527, 0.387886097439527,          0.19051372613691, 0.563239471741591, 0.563239471741591,          0.478794864158343, 0.478794864158343, 0.352996738297868,          0.0911939042613644, 0.147334233235439, 0.528800676490504,          0.453083161817035, 0.228652490110126, 0.177701329016163,          0.151261605672147, 0.101753514952091), PROX_SUPERMARKET = c(0.447693008221967,          0.447693008221967, 0.429218479578941, 0.411626017932148,          0.411626017932148, 0.411626017932148, 0.326764101800336,          0.187279197917694, 0.187279197917694, 0.1489144838969,          0.1489144838969, 0.252078878715955, 0.408284988301129,          0.147334782275979, 0.528799775767506, 0.513065398645433,          0.234691730121176, 0.177702101069216, 0.151260689076964,          0.101754383553332), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 2L, 2L, 3L, 0L, 0L, 0L, 0L, 0L, 2L, 1L, 0L,          0L, 2L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 1L, 4L, 3L, 3L,          3L, 4L, 4L, 4L), WITHIN_350M_BUS = c(5L, 5L, 7L, 6L,          6L, 6L, 9L, 10L, 10L, 9L, 9L, 11L, 13L, 13L, 6L, 2L,          8L, 11L, 12L, 10L), WITHIN_1KM_PRISCH = c(2L, 2L, 3L,          3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 1L, 2L, 3L, 3L,          1L, 2L, 1L), DNeighbour = c(0, 8.08195480289469, 271.889351438972,          276.828534807744, 282.339904016447, 283.6823489345, 349.324558400262,          495.891261930319, 499.911763869314, 588.445577319999,          595.869641664714, 700.255825265828, 776.852091911254,          817.649418429325, 818.629612114684, 825.894829615863,          827.82555217711, 853.393820189937, 865.3828846282, 890.977650916373         )), row.names = c("639", "852", "188", "457", "483",      "233", "136", "782", "994", "495", "406", "899", "934", "212",      "695", "3", "314", "815", "51", "218"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999835444901759, 0.822428297317187, 0.816247686242713,      0.809248050441334, 0.807526831673131, 0.716193288659966,      0.476417517146142, 0.469480793390445, 0.317878000766164,      0.3055114447146, 0.146150855734191, 0.0574912859281489, 0.0249097722586096,      0.0242761041674016, 0.0198126049156892, 0.0186965141752394,      0.006820446327037, 0.00320673029829517, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2443239544 
R squared (OOB):                  -0.1187874 

$Forests[[640]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(478000, 480000, 535000,      468888, 5e+05, 688000, 745000, 682000, 653000, 729999, 742000,      5e+05, 4e+05, 4e+05, 360000, 7e+05, 413888, 680000, 620000,      649888), floor_area_sqm = c(92, 92, 92, 92, 91, 90, 100,      100, 91, 100, 92, 91, 104, 92, 92, 95, 88, 104, 104, 87),          storey_order = c(4L, 3L, 3L, 3L, 2L, 6L, 10L, 10L, 2L,          6L, 7L, 1L, 4L, 3L, 2L, 3L, 2L, 4L, 1L, 3L), remaining_lease_mths = c(716,          692, 694, 701, 706, 985, 1122, 1120, 1121, 1122, 1104,          690, 745, 708, 719, 1100, 668, 806, 802, 1103), PROX_CBD = c(9.58813304663833,          9.76973796844692, 9.76973796844692, 9.79963982832759,          10.2657373615824, 9.84174458192399, 9.28682806708392,          9.28682806708392, 9.51816518584724, 9.41601606571959,          9.57467117229508, 10.2183960492338, 9.4187827620762,          10.1748545259067, 10.2629321739313, 7.97001655790022,          7.88501742637481, 10.251706958731, 10.3151427398556,          7.02256530608061), PROX_ELDERLYCARE = c(0.251441869005946,          0.487200680071974, 0.487200680071974, 0.390845215421192,          0.519949541574078, 0.339166460968835, 0.306248896776786,          0.306248896776786, 0.0590206014568566, 0.14515851054369,          0.0836678964153836, 0.670964346371623, 0.579996323717894,          0.889757070081441, 1.00265829049513, 0.682273370470252,          0.487583248392117, 0.2905717823942, 0.330781443478472,          0.467453442926814), PROX_HAWKER = c(0.391674386653945,          0.323134910569429, 0.323134910569429, 0.315572935590663,          0.527790221924738, 0.272020065995023, 0.449541776391294,          0.449541776391294, 0.5145461029689, 0.552624576950901,          0.628838904549623, 0.161327078165055, 0.508914568418093,          0.304343114187016, 0.370496257898541, 0.840126401207934,          0.645875214067525, 0.185152730473859, 0.158411808335189,          0.207247650371579), PROX_MRT = c(0.707146681079003, 0.307725216106606,          0.307725216106606, 0.308409661615337, 0.351828842975553,          0.348847208140378, 0.819017740329599, 0.819017740329599,          0.689820066215858, 0.796240617220745, 0.731513991246432,          0.352113639571012, 1.21403827268849, 1.12559589355515,          1.21137251272603, 0.726942522279936, 0.707952731476156,          0.329298986744561, 0.225881718556356, 0.409658939160285         ), PROX_PARK = c(0.630094576064042, 0.692980820038259,          0.692980820038259, 0.556935587195362, 0.752867192571236,          0.429024269124863, 0.754667699158598, 0.754667699158598,          0.506309566114581, 0.579398729399101, 0.402026431996325,          0.412720152963846, 0.633868788719276, 0.326884491561474,          0.429817985649402, 0.618444971248099, 0.511064020035708,          0.433052663426989, 0.503726079472253, 0.380160428577633         ), PROX_GOOD_PRISCH = c(1.10432321767326, 0.945616550360875,          0.945616550360875, 0.97109568154285, 0.402201611323318,          0.999365026226873, 1.50498632547922, 1.50498632547922,          1.35033962190844, 1.45792936689373, 1.37880970746963,          0.778258345851083, 1.8319493658717, 1.53712936271762,          1.58756538029025, 2.78644315018514, 2.82520953766913,          0.178279914989512, 0.238878321625081, 2.07008813823767         ), PROX_MALL = c(0.759347764163403, 0.3113714109904,          0.3113714109904, 0.277854565241424, 0.347570072991699,          0.188176716989659, 0.732362808464395, 0.732362808464395,          0.508727078362918, 0.616886214909116, 0.493679276753517,          0.1993183735571, 0.308706652763352, 0.493589384976364,          0.573348708551386, 0.66906173274608, 0.535655644340599,          0.409325390211749, 0.307979604675516, 0.395390786334096         ), PROX_CHAS = c(0.395290416984683, 0.164045702260751,          0.164045702260751, 0.213793078898363, 0.329846033180528,          0.139131199666608, 0.30624919123722, 0.30624919123722,          0.0590210156667789, 0.145158576319141, 0.0836673580931749,          0.176868193181362, 0.308706623046814, 0.118978706369709,          0.166187985395119, 0.195243012850588, 0.102679570293108,          0.239000132427376, 0.132816387601245, 0.278446199404133         ), PROX_SUPERMARKET = c(0.20799335196523, 0.329801606095394,          0.329801606095394, 0.217115292225756, 0.353445486406562,          0.139131268426574, 0.309780650655361, 0.309780650655361,          0.0642147642973091, 0.145877744762322, 0.0769150331708007,          0.245740902557878, 0.31508799294366, 0.371852561025965,          0.394772134126693, 0.169510705521186, 0.158953339299884,          0.258988936146552, 0.143795860421689, 0.0888694671696128         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 1L, 1L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 3L, 4L, 4L, 4L,          1L, 1L, 1L, 1L, 2L, 6L, 4L, 3L, 1L, 0L, 1L, 2L, 4L, 3L         ), WITHIN_350M_BUS = c(7L, 11L, 11L, 11L, 10L, 9L, 7L,          7L, 7L, 8L, 7L, 6L, 3L, 8L, 7L, 7L, 5L, 6L, 8L, 10L),          WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 3L, 3L, 3L, 1L, 1L,          2L, 2L, 2L, 4L, 0L, 0L, 0L, 1L, 1L, 2L, 2L, 0L), DNeighbour = c(0,          534.735105570321, 535.008623802189, 672.322485254102,          713.276219238282, 795.941378840875, 835.376511144614,          841.475377396945, 889.987553901437, 943.224672306632,          1018.84856297185, 1043.01821671912, 1493.26967192144,          1714.51160348741, 1812.55527107703, 1828.79539783917,          1831.39806909646, 2308.22525529815, 2430.26443065437,          2562.33964144414)), row.names = c("640", "926", "68",      "943", "649", "268", "308", "794", "983", "928", "551", "584",      "278", "245", "244", "904", "338", "775", "108", "221"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.9147935634476, 0.91470831743644, 0.867046836262308, 0.851025872821331,      0.81632772303659, 0.798718123433864, 0.795936370492773, 0.773272472167593,      0.74735074569995, 0.708787020049891, 0.696064200983401, 0.436091580399296,      0.305012092448826, 0.249609571688105, 0.24069076692548, 0.23926920102996,      0.035536151398819, 0.0100867230383923, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7958031874 
R squared (OOB):                  0.5291082 

$Forests[[641]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(585000, 575000, 658000,      615000, 417000, 540000, 565000, 435000, 440000, 410000, 380000,      412000, 435000, 420000, 428888, 415000, 390000, 447000, 438000,      376888), floor_area_sqm = c(93, 93, 84, 84, 99, 93, 93, 99,      100, 100, 104, 103, 100, 104, 84, 84, 104, 107, 104, 104),          storey_order = c(4L, 5L, 3L, 2L, 3L, 4L, 6L, 2L, 3L,          3L, 1L, 4L, 4L, 2L, 3L, 3L, 1L, 3L, 2L, 3L), remaining_lease_mths = c(1142,          1133, 1120, 1122, 914, 1142, 1127, 928, 911, 915, 924,          918, 924, 922, 774, 782, 809, 782, 812, 810), PROX_CBD = c(12.454441113408,          12.4342034244884, 12.4891302242583, 12.3801819754074,          12.2815153207229, 12.5378737745647, 12.4937468159193,          12.2106818490232, 12.2087069526051, 12.2087069526051,          12.0301392517655, 11.9871965659798, 12.114386347938,          11.8892341343185, 12.8776183162857, 12.8776183162857,          11.7882471009294, 11.7840832214562, 11.7215458353159,          11.622690560426), PROX_ELDERLYCARE = c(0.717258387107597,          0.678867196986192, 0.707031754326944, 0.738453704244922,          0.513657423159811, 0.76025522927712, 0.714783075399861,          0.442541563379791, 0.434858408662556, 0.434858408662556,          0.255083942589415, 0.210296865683283, 0.421163091926404,          0.110349805405523, 0.211786543917104, 0.211786543917104,          0.114277277444971, 0.481333190444255, 0.240093333498969,          0.175524774720266), PROX_HAWKER = c(0.459376407452819,          0.504612881494125, 0.384467206049481, 0.261296216065877,          0.52278816815954, 0.672948721825079, 0.680821394190482,          0.524204307723605, 0.692592935098248, 0.692592935098248,          0.598391326300702, 0.625285574708341, 0.885134801830427,          0.684056106771311, 0.677647820815747, 0.677647820815747,          0.647051853283446, 0.436117874461739, 0.609281739536534,          0.783966268147895), PROX_MRT = c(0.518913352820399, 0.586933783104383,          0.38468199977318, 0.367154517888221, 0.703998835661039,          0.707305973375369, 0.743366527772832, 0.743103019894999,          0.89623888155871, 0.89623888155871, 0.885297742933312,          0.923336133969517, 1.10882075300419, 1.00424261648768,          0.301948361527339, 0.301948361527339, 1.00317447086964,          0.81394482428473, 0.989064774064853, 1.15515804744233         ), PROX_PARK = c(0.580711209690395, 0.628391467794767,          0.50651752093578, 0.605799570777928, 0.796788171077343,          0.628331945846246, 0.683130710636032, 0.863487882808023,          0.954913184146477, 0.954913184146477, 1.04875150887626,          1.09395352284574, 1.14970360230785, 1.19263079577799,          0.246982674114576, 0.246982674114576, 1.24877122811849,          1.20101103678102, 1.28416187507733, 1.41684131410086),          PROX_GOOD_PRISCH = c(0.990054087408291, 1.01367306567257,          0.94986022590219, 0.823417580851307, 0.952579960345566,          1.17951788917503, 1.16886515239787, 0.91368762909787,          1.04944877580977, 1.04944877580977, 0.860616187528585,          0.855677549512306, 1.17061030478036, 0.842915880539328,          1.22334421357001, 1.22334421357001, 0.713901761199557,          0.357669915539773, 0.585140695782779, 0.733057242670121         ), PROX_MALL = c(0.549832225559512, 0.600548053404267,          0.458049841664737, 0.344173235497563, 0.630705874818675,          0.766094086501437, 0.778202426893423, 0.634332011832188,          0.802829369116586, 0.802829369116586, 0.707201836140707,          0.732793638615111, 0.995792127022496, 0.787722851944232,          0.503182159926002, 0.503182159926002, 0.741052769880115,          0.489619370966043, 0.690287469384684, 0.868993594299523         ), PROX_CHAS = c(0.134313038880304, 0.134041173915956,          3.00974727266337e-08, 0.126495411341712, 0.0753088652692227,          0.187116592266412, 0.147744885974614, 0.140964983635816,          0.0852358826892552, 0.0852358826892552, 0.202915262499126,          0.171681037809818, 0.138740180982893, 0.124859952031804,          0.128785172156574, 0.128785172156574, 0.0554870656895364,          0.0667093090499658, 0.164718468919614, 0.151742844958785         ), PROX_SUPERMARKET = c(0.499432454100223, 0.543693418915242,          0.425107542879533, 0.30203349112312, 0.448534184110051,          0.707597649659388, 0.667447252804164, 0.377835654599335,          0.414959148864982, 0.414959148864982, 0.20670525505664,          0.172282484091702, 0.459680111992834, 0.114394571204967,          0.17067511852319, 0.17067511852319, 0.0453848138423891,          0.379080894647373, 0.169255457402684, 0.151741730066283         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 1L, 0L,          0L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 0L, 0L, 3L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 2L, 3L, 6L, 5L,          4L, 5L, 5L, 5L, 5L, 5L, 1L, 8L, 1L, 1L, 8L, 3L, 6L, 7L         ), WITHIN_350M_BUS = c(11L, 12L, 10L, 8L, 12L, 11L, 11L,          11L, 11L, 11L, 7L, 6L, 8L, 9L, 12L, 12L, 9L, 7L, 10L,          8L), WITHIN_1KM_PRISCH = c(3L, 1L, 5L, 4L, 2L, 1L, 1L,          2L, 1L, 1L, 2L, 2L, 1L, 2L, 4L, 4L, 3L, 4L, 3L, 2L),          DNeighbour = c(0, 68.4189307680066, 131.941236925575,          204.129036711312, 212.569968975974, 219.139265964932,          240.897560345122, 280.698064372359, 395.856455600993,          396.286970652893, 457.785087213556, 511.037793423004,          604.061761380036, 609.606785060908, 623.588424020767,          626.542383582242, 667.914457690219, 713.414183154254,          724.756013412734, 838.628251230176)), row.names = c("641",      "310", "505", "315", "362", "343", "24", "42", "410", "680",      "727", "689", "707", "148", "892", "259", "508", "340", "625",      "750"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98673229395374,      0.951107346519988, 0.885015121112069, 0.875630357981488,      0.868099839344963, 0.841781192753497, 0.788488190889307,      0.604022854481435, 0.603269369910206, 0.492834788314394,      0.395218417988669, 0.23152614152264, 0.222409086729515, 0.199886431684994,      0.195218925447936, 0.133727944128626, 0.0763546479447403,      0.0640750907072711, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1473231909 
R squared (OOB):                  0.7994744 

$Forests[[642]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(705000, 720000, 640000,      640000, 350000, 345000, 450000, 440000, 375000, 516000, 435000,      420000, 548000, 335000, 370000, 588000, 439000, 430000, 408000,      670000), floor_area_sqm = c(91, 91, 90, 91, 92, 92, 92, 92,      92, 98, 98, 91, 95, 91, 92, 95, 97, 93, 91, 94), storey_order = c(3L,      3L, 1L, 3L, 1L, 1L, 1L, 3L, 2L, 3L, 1L, 1L, 2L, 3L, 4L, 3L,      3L, 3L, 3L, 6L), remaining_lease_mths = c(1097, 1079, 1095,      992, 714, 695, 679, 677, 695, 698, 692, 742, 981, 754, 699,      1025, 669, 728, 674, 1104), PROX_CBD = c(9.2692311101123,      9.2692311101123, 9.29204667907952, 9.30017281297198, 9.56457497404925,      8.46158045860266, 8.7589377611275, 8.7589377611275, 8.4016901584654,      8.70928269501252, 8.85689554561162, 8.31995738049774, 8.37940280964872,      8.32334928378694, 8.34406204250889, 8.51090417959469, 8.73211086874077,      8.20083785223568, 8.96374942103709, 8.58683984966127), PROX_ELDERLYCARE = c(0.751834464907999,      0.751834464907999, 0.771441336950035, 0.677643973897152,      1.08567795373645, 0.0854535518544851, 0.169235371196244,      0.169235371196244, 0.150390524199432, 0.119444653145476,      0.272187629818594, 0.259768432786295, 0.335901694998922,      0.163895949541214, 0.224798473876808, 0.120425912751251,      0.292319821872094, 0.41240614163537, 0.267188539522683, 0.203840329735754     ), PROX_HAWKER = c(0.13065395668809, 0.13065395668809, 0.172288624542473,      0.445284816601654, 0.44425153291851, 0.266645682444034, 0.330091511745513,      0.330091511745513, 0.205000896629144, 0.281172749103646,      0.446318851105742, 0.387410687724852, 0.203869560106314,      0.1672780527947, 0.308707066729857, 0.166697492306482, 0.436547444862961,      0.35604829505958, 0.393731145214296, 0.433030813326955),          PROX_MRT = c(0.513894886157587, 0.513894886157587, 0.459210746913958,          0.258716275079725, 1.06652131186481, 0.681495718287031,          0.338391484905848, 0.338391484905848, 0.747297636603152,          0.379410256905797, 0.372678744867538, 0.705543842504761,          0.62312262100292, 1.03738004469153, 1.14033242259394,          0.608243230971526, 0.600073719023998, 0.805467939952349,          0.71987240697712, 0.751078096441513), PROX_PARK = c(0.421166514654472,          0.421166514654472, 0.354651430366215, 0.166211588513849,          0.829152657918636, 0.773425606080498, 0.469340752260783,          0.469340752260783, 0.784786352249359, 0.513364518506117,          0.479885299937475, 0.517920409018535, 0.394842599629624,          0.839050716088865, 0.748901820021747, 0.368529270986479,          0.617507126900098, 0.393072899865764, 0.60552725382935,          0.52118662053352), PROX_GOOD_PRISCH = c(2.13343245969583,          2.13343245969583, 2.10961489740732, 1.82000438656186,          1.87441197950121, 1.4534383809239, 1.40615721612308,          1.40615721612308, 1.42922442943649, 1.35677240305411,          1.47413984574199, 1.20021801549651, 1.14854892992093,          1.6197212814627, 1.74338078296013, 1.13331232297991,          1.31940815963163, 1.04754826657838, 1.13785719900195,          1.16640042723588), PROX_MALL = c(0.655923636590071, 0.655923636590071,          0.591682371404957, 0.302826744416793, 1.18499732413142,          0.793630348518112, 0.264395031718586, 0.264395031718586,          0.856591768216477, 0.313890580083005, 0.241772845363545,          0.768764019555169, 0.651389947232486, 0.952850965311535,          0.813314037197816, 0.540250505232014, 0.469553394647833,          0.844084234929545, 0.480317195978648, 0.632538285087724         ), PROX_CHAS = c(0.0970531700661786, 0.0970531700661786,          0.116738661463474, 0.258750733988333, 0.358325278319411,          0.161491876005888, 0.0806835690144568, 0.0806835690144568,          0.14998683096932, 0.112175615725657, 0.157458356405151,          0.1066489590073, 0.11938167830482, 0.218034921212892,          0.347263729641395, 0.0869956868442428, 0.0664211666443358,          0.0460460495231756, 0.143131544605207, 0.237191200694799         ), PROX_SUPERMARKET = c(0.098601858754749, 0.098601858754749,          0.110756393825321, 0.378001630838772, 0.418420374852224,          0.128302570008396, 0.24726445439454, 0.24726445439454,          0.194600933367586, 0.221335227738319, 0.224853982916395,          0.284909088626731, 0.282093113359979, 0.502751024921131,          0.624544400837596, 0.0869967242830128, 0.350370254212894,          0.436961702644775, 0.181164390242962, 0.35437102597818         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 1L, 0L,          2L, 2L, 0L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 5L, 3L, 2L, 3L,          8L, 8L, 3L, 7L, 7L, 3L, 4L, 1L, 1L, 6L, 6L, 2L, 4L, 5L         ), WITHIN_350M_BUS = c(10L, 10L, 7L, 9L, 4L, 7L, 6L,          6L, 7L, 6L, 7L, 7L, 6L, 4L, 5L, 5L, 7L, 7L, 6L, 4L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L, 3L, 3L, 3L,          3L, 4L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L), DNeighbour = c(0,          9.44880542946849, 89.8233215707722, 374.044769969949,          550.477739662128, 810.02192055803, 848.415640406153,          849.63209825486, 866.929841648216, 886.266171490004,          895.05152677631, 982.222779353755, 995.082971497153,          1017.57163804075, 1058.54120349628, 1099.75643160446,          1123.69394961618, 1128.51930907851, 1240.34794481173,          1264.41077202909)), row.names = c("642", "306", "191",      "973", "197", "676", "194", "386", "682", "446", "397", "716",      "998", "713", "204", "94", "842", "79", "692", "149"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999888314882106, 0.989932199635324, 0.832633177137695,      0.656843803897159, 0.347617220419049, 0.302239611601946,      0.300820666329333, 0.280792541891328, 0.258769696916878,      0.248906622814978, 0.157249326042511, 0.144887829550399,      0.124136605253488, 0.0894771253208854, 0.0592857059234137,      0.0441820665251838, 0.0413705808097594, 0.00142125612769842,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5147192502 
R squared (OOB):                  0.6818226 

$Forests[[643]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 375000, 368000,      370000, 342000, 390000, 3e+05, 395888, 425000, 332000, 371000,      365000, 345000, 310000, 390000, 338000, 4e+05, 330000, 4e+05,      430000), floor_area_sqm = c(100, 100, 100, 92, 105, 91, 94,      94, 93, 104, 91, 91, 92, 104, 90, 103, 91, 104, 90, 91),          storey_order = c(5L, 5L, 2L, 3L, 4L, 2L, 2L, 3L, 3L,          3L, 2L, 5L, 2L, 3L, 2L, 4L, 2L, 3L, 3L, 4L), remaining_lease_mths = c(923,          935, 937, 922, 822, 956, 817, 1063, 1029, 838, 957, 965,          974, 838, 947, 836, 956, 847, 953, 962), PROX_CBD = c(18.2155576397088,          18.2155576397088, 18.1853912561079, 18.2744201988815,          18.4174433264455, 17.980006840849, 18.4835571341017,          18.1899007658477, 18.2498667293237, 18.3394484051955,          17.630719557776, 17.6174166659189, 17.6174166659189,          18.2872060948971, 17.5579663674298, 18.1853470145009,          17.5146993337396, 18.238428451998, 17.5759295796121,          17.4594236905894), PROX_ELDERLYCARE = c(1.82774218733134,          1.82774218733134, 1.83831888483507, 1.91030467455468,          2.01990466694452, 1.69038013517483, 2.12772209584432,          2.0412967820292, 2.08641833813892, 1.68689945441126,          1.35614304544574, 1.58663462608392, 1.58663462608392,          1.57361264937598, 1.26304449634962, 1.46334015610348,          1.21552371031002, 1.49823830734066, 1.07156662032258,          1.1429422216578), PROX_HAWKER = c(0.218122417644225,          0.218122417644225, 0.267411626133086, 0.292675997882175,          0.365194571711665, 0.32947027962251, 0.47819209562201,          0.56403310040428, 0.574007707230075, 0.322806547864559,          0.550798352023498, 0.699652587196505, 0.699652587196505,          0.464971900021808, 0.610726758846462, 0.490406092071559,          0.65109908849923, 0.548143788898404, 0.622851592932912,          0.704564458032275), PROX_MRT = c(0.24629140143503, 0.24629140143503,          0.186589372260449, 0.25859759791353, 0.394110762668951,          0.131298797620671, 0.440067919828323, 0.225540054498686,          0.270260950193414, 0.722989849955079, 0.481509556817778,          0.430901962912929, 0.430901962912929, 0.870907467758581,          0.415424130147435, 0.888080533877704, 0.367017506823782,          0.950317003394984, 0.449846795062068, 0.304209523777939         ), PROX_PARK = c(0.449638685926872, 0.449638685926872,          0.431621232177097, 0.366705585759005, 0.305293053539538,          0.597192139646456, 0.199823808978303, 0.321396863181507,          0.261745107633199, 0.845903786092674, 0.706852169587072,          0.815337468455046, 0.815337468455046, 0.791043930625847,          0.622915525490857, 0.741201414908801, 0.57589083993138,          0.690805332809177, 0.650211227804106, 0.515475588097358         ), PROX_GOOD_PRISCH = c(7.54917724573578, 7.54917724573578,          7.51998659904145, 7.60907430161507, 7.75189187586876,          7.31481473864251, 7.82005706650481, 7.5338271442293,          7.5938744989762, 7.67457853159282, 6.96345421686322,          6.95710824587607, 6.95710824587607, 7.62743554697163,          6.89020500321914, 7.52724739525134, 6.84682201594428,          7.58243576478886, 6.90999703096039, 6.79149624878531),          PROX_MALL = c(0.249434383428027, 0.249434383428027, 0.304347432784639,          0.31638525459609, 0.368677515727611, 0.38257003715367,          0.482762920255867, 0.601163950940652, 0.606938778613173,          0.270650184250749, 0.581015113036356, 0.753687860987251,          0.753687860987251, 0.369641594977131, 0.488271313828636,          0.362005799982455, 0.437698049352173, 0.291730094824992,          0.456006423255308, 0.366883459562171), PROX_CHAS = c(0.246283235408848,          0.246283235408848, 0.186582621643492, 0.258594927218762,          0.279695275413424, 0.131281394661179, 0.297885151722028,          0.225556636612455, 0.270276303087269, 0.186439783883369,          0.481496129777697, 0.430898255483663, 0.430898255483663,          0.000458346083760352, 0.40162373925963, 0.11010335009361,          0.354009255575758, 0.0811018368302058, 0.401255348981324,          0.293637386768921), PROX_SUPERMARKET = c(0.233030240431279,          0.233030240431279, 0.289364184128333, 0.297968471640837,          0.3481604922123, 0.37748716441855, 0.402675729717655,          0.37174850741073, 0.384544806397502, 0.279112228601587,          0.432325009404537, 0.467885028141574, 0.467885028141574,          0.367596841627256, 0.339170507836652, 0.36017462873485,          0.288534867112482, 0.289827711639516, 0.338457664260807,          0.217741105325511), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 4L, 2L, 2L, 2L, 6L, 2L,          7L, 2L, 4L, 1L, 2L), WITHIN_350M_CHILDCARE = c(7L, 7L,          7L, 7L, 7L, 5L, 9L, 5L, 6L, 4L, 6L, 4L, 4L, 4L, 6L, 4L,          6L, 3L, 5L, 6L), WITHIN_350M_BUS = c(15L, 15L, 16L, 17L,          14L, 14L, 12L, 13L, 11L, 11L, 8L, 6L, 6L, 9L, 9L, 11L,          10L, 10L, 8L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 4L,          5L, 5L, 3L, 5L, 4L, 4L, 6L, 4L, 3L, 3L, 5L, 4L, 5L, 4L,          4L, 4L, 4L), DNeighbour = c(0, 9.35971903868024, 66.0671515459533,          89.3739761936941, 203.09217325872, 246.430080135946,          305.137339684458, 359.962233853475, 361.73489793191,          496.077238287778, 587.626344088881, 642.039995430647,          645.345919501004, 658.403217967911, 674.359672115359,          701.094545156995, 721.085997630098, 756.945646932674,          761.960464047457, 784.13441538423)), row.names = c("643",      "571", "31", "835", "257", "910", "774", "422", "369", "693",      "547", "220", "14", "414", "545", "857", "93", "839", "357",      "937"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999715066410042,      0.9858526243556, 0.974186851917592, 0.870336184656446, 0.812223157010306,      0.720072371540629, 0.622942170449128, 0.619662113110839,      0.359715284793317, 0.192200925946568, 0.108626869909476,      0.104112109816978, 0.0870118386793834, 0.0678035050168431,      0.0402344510511485, 0.0238224553548534, 0.00464373485445434,      0.0031088259081641, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       835912318 
R squared (OOB):                  0.3595957 

$Forests[[644]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 360000, 365000,      441000, 358000, 415000, 440000, 456500, 448000, 435000, 418000,      320000, 415000, 460000, 420000, 395000, 436000, 440000, 435000,      440000), floor_area_sqm = c(94, 94, 94, 93, 93, 94, 96, 92,      96, 95, 92, 92, 92, 92, 92, 94, 92, 92, 92, 92), storey_order = c(1L,      1L, 1L, 6L, 1L, 6L, 7L, 8L, 9L, 6L, 6L, 2L, 8L, 7L, 6L, 4L,      7L, 8L, 2L, 5L), remaining_lease_mths = c(1107, 1096, 1095,      1097, 1103, 1120, 1108, 1144, 1110, 1105, 1129, 1009, 1140,      1125, 1142, 1113, 1139, 1142, 1128, 1124), PROX_CBD = c(11.6781560559471,      11.6781560559471, 11.7965908296893, 11.8078122246038, 11.8075546541859,      11.7484946081343, 11.6053344020152, 11.9527102757424, 11.5810624146691,      11.6071858552171, 12.02897658153, 11.3397363359505, 12.02897658153,      12.02897658153, 12.02897658153, 11.9744040829633, 12.042332185553,      12.042332185553, 12.042332185553, 12.0234479092478), PROX_ELDERLYCARE = c(1.09658820367145,      1.09658820367145, 1.00802268588986, 0.95260617550949, 0.922118515238085,      1.16050252277995, 1.04503450829128, 0.819362766143575, 1.05973522725621,      1.02315858897206, 0.841755023464642, 1.39271535621019, 0.841755023464642,      0.841755023464642, 0.841755023464642, 0.738781707341689,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.938035651111226), PROX_HAWKER = c(0.34952328079698, 0.34952328079698,      0.337854809554552, 0.262687630178652, 0.209140712961875,      0.512143004921159, 0.210992660312359, 0.27814297307049, 0.226379932511381,      0.193888136950838, 0.409616357379742, 0.570701345451429,      0.409616357379742, 0.409616357379742, 0.409616357379742,      0.217370340361849, 0.369655971945997, 0.369655971945997,      0.369655971945997, 0.507473565259923), PROX_MRT = c(0.274140861026222,      0.274140861026222, 0.249549573241666, 0.173777829752023,      0.120215557602138, 0.425815084561206, 0.206803096961617,      0.200702114351669, 0.233016580221366, 0.216093917824789,      0.331072457322778, 0.534489810386183, 0.331072457322778,      0.331072457322778, 0.331072457322778, 0.167322140356011,      0.298263347673859, 0.298263347673859, 0.298263347673859,      0.394231498000209), PROX_PARK = c(0.620391651843957, 0.620391651843957,      0.739061594864021, 0.746013140888617, 0.747098338531098,      0.660489483199184, 0.554363925008431, 0.643017670933737,      0.520771390450273, 0.521580333579447, 0.529446955515876,      0.290298216204727, 0.529446955515876, 0.529446955515876,      0.529446955515876, 0.679906922269617, 0.542226246468638,      0.542226246468638, 0.542226246468638, 0.506408767470305),          PROX_GOOD_PRISCH = c(2.02616945457316, 2.02616945457316,          2.14271827973834, 2.13533890725473, 2.12338877581429,          2.14657014261275, 1.90056431650247, 2.270018309959, 1.87254500118751,          1.89230283405924, 2.36775586018775, 1.70706505143727,          2.36775586018775, 2.36775586018775, 2.36775586018775,          2.27223739349538, 2.36724315061599, 2.36724315061599,          2.36724315061599, 2.39172047379238), PROX_MALL = c(0.244599870232268,          0.244599870232268, 0.241737870027575, 0.17025857997445,          0.119447773727589, 0.411213390710639, 0.158081786709397,          0.232344363503357, 0.185878129611589, 0.173810560938293,          0.358721564938295, 0.459056401007768, 0.358721564938295,          0.358721564938295, 0.358721564938295, 0.214069216816763,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.441394824612777), PROX_CHAS = c(0.163903281406512,          0.163903281406512, 0.101692541492014, 0.170258520163124,          0.11944771257822, 0.0876622280470988, 0.158081821824728,          0.146038815472653, 0.185878170229198, 0.173810611614792,          0.25157977989641, 0.111613351644546, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.0939357367291076,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.223839041128234), PROX_SUPERMARKET = c(0.19333058996533,          0.19333058996533, 0.17897337633635, 0.168966076328732,          0.119571834445138, 1.21715176356525e-07, 0.148884454693003,          0.237998550380205, 0.177355035948325, 0.1671684124578,          0.314501000490003, 0.440050810323431, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.22318738818849,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.244018176385425), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          3L, 4L, 4L, 2L, 4L, 5L, 4L, 4L, 4L, 1L, 4L, 4L, 4L, 7L,          4L, 4L, 4L, 2L), WITHIN_350M_BUS = c(9L, 9L, 9L, 11L,          10L, 11L, 8L, 12L, 7L, 6L, 11L, 9L, 11L, 11L, 11L, 10L,          10L, 10L, 10L, 10L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L), DNeighbour = c(0, 4.81665513690762, 118.975389739849,          141.550286650203, 177.214631668292, 197.688604114303,          258.118585760656, 284.521729870363, 284.680359494322,          313.519768835466, 343.344336153799, 345.790848399859,          346.987966774977, 347.43578880293, 349.474332351272,          355.760823714723, 360.410159367581, 361.628022701172,          363.513637610663, 365.33045129534)), row.names = c("644",      "954", "41", "439", "724", "441", "158", "749", "182", "922",      "700", "254", "287", "874", "318", "858", "573", "16", "908",      "502"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99965237451591,      0.799132695612449, 0.722289431519105, 0.584761549988926,      0.500112338358959, 0.250809584978835, 0.154811115175927,      0.154279207112133, 0.0694453320429268, 0.0136284814352152,      0.0108386538599731, 0.00958343445109458, 0.00913267015591804,      0.00721149317879283, 0.00267317297318345, 0.000715815502718101,      0.000406676517695472, 9.84343240311993e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1029572866 
R squared (OOB):                  0.3028784 

$Forests[[645]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(465000, 403000, 460000,      460000, 430000, 4e+05, 485000, 490000, 5e+05, 510000, 440000,      520000, 545000, 535000, 455000, 432000, 520000, 532000, 455000,      498000), floor_area_sqm = c(93, 92, 92, 93, 92, 92, 93, 95,      93, 92, 93, 93, 93, 93, 93, 93, 93, 96, 92, 93), storey_order = c(5L,      1L, 2L, 3L, 1L, 1L, 2L, 2L, 6L, 3L, 2L, 5L, 5L, 4L, 5L, 5L,      4L, 4L, 4L, 2L), remaining_lease_mths = c(1097, 1138, 1137,      1138, 1128, 1131, 1147, 1111, 1137, 1136, 1142, 1147, 1127,      1118, 1138, 1129, 1118, 1111, 1133, 1102), PROX_CBD = c(13.8110145095205,      13.9348601041022, 13.9481332653994, 13.8880322509317, 13.983033341901,      13.9748767742628, 13.9293604468603, 13.7780295697528, 13.7068457080251,      14.0250110126613, 13.9713915856932, 13.7003463440691, 13.8964286142315,      13.8964286142315, 13.5153222954464, 13.4495242740615, 13.7912064237251,      13.8842234613226, 13.5263069451707, 13.8269911518463), PROX_ELDERLYCARE = c(0.2424730747692,      0.122633260073778, 0.108372417523696, 0.250782943854859,      0.0819455196406728, 0.0869602171534455, 0.234065981952779,      0.24280876806526, 0.409751638237597, 0.0392522324995346,      0.226595382415433, 0.434917902994305, 0.28821019895416, 0.28821019895416,      0.128038783583345, 0.226392675254826, 0.194902312085005,      0.284905700992106, 0.13293861465481, 0.272443342502121),          PROX_HAWKER = c(0.93957565430704, 0.848294615942255,          0.783686601130967, 0.989318285046145, 0.818439961244233,          0.759405218095962, 0.970053791291438, 0.855348356505915,          1.09574216637781, 0.732915378457501, 0.954180271331751,          1.07570104527527, 0.700607063348248, 0.700607063348248,          1.06471945671836, 1.13086059974118, 0.761066408094757,          0.667389882084889, 1.0232116664491, 0.718894335359525         ), PROX_MRT = c(0.110074032088272, 0.066674836544346,          0.146013494832411, 0.0905698875540676, 0.0961191462833423,          0.16215489673441, 0.101292979723356, 0.290902656750774,          0.23189639897339, 0.179377644983316, 0.128817306959056,          0.256932190523524, 0.214342865325431, 0.214342865325431,          0.531733722241289, 0.537207200764636, 0.263976344610204,          0.172676244118343, 0.529059791722705, 0.250191496834268         ), PROX_PARK = c(1.12286028608686, 1.01289159319472,          0.964943529987853, 1.13098813526459, 0.973290645087517,          0.93793434477989, 1.10248671215858, 1.08412864631293,          1.30108171005294, 0.898948825756494, 1.07610116952693,          1.30953091682666, 0.945155408432775, 0.945155408432775,          1.12627074536918, 1.14705623529365, 1.03946212768551,          0.946790994443363, 1.00320858387115, 1.00953333913803         ), PROX_GOOD_PRISCH = c(4.2580170038876, 4.3780728039611,          4.41058426346667, 4.29841605508598, 4.42376284483209,          4.4381077472328, 4.33684280477295, 4.27934963146811,          4.11427377683663, 4.48326906164864, 4.37541592083903,          4.10033714204368, 4.42474408393319, 4.42474408393319,          4.05859518452173, 3.97306691053722, 4.37243865161908,          4.46427355245829, 4.12550653324601, 4.43409233459216),          PROX_MALL = c(0.585854127158584, 0.500682206465503, 0.431747484707969,          0.648384322611893, 0.475935346664486, 0.408666125180857,          0.634323955575517, 0.507308338763366, 0.786897805640679,          0.387952579177684, 0.625072347077181, 0.816725098938654,          0.36232957329041, 0.36232957329041, 0.741140095950697,          0.817008429043632, 0.47180896375681, 0.384398044205003,          0.734460127270614, 0.464449368072494), PROX_CHAS = c(0.123846030022364,          3.70448785353559e-08, 0.0812590805558053, 0.0495611607390083,          0.0483941894268844, 0.0955424375353944, 0.0456516508281062,          0.246000912873009, 0.0683167852462459, 0.116095717847762,          0.0752462089475253, 0.0738696133860389, 0.190952462752685,          0.190952462752685, 0.0484693686848179, 0.142936854782623,          3.14247486029477e-08, 0.0936868185767241, 0.164485608616764,          0.093713435160417), PROX_SUPERMARKET = c(0.157551778944521,          0.112910168339451, 0.194128300134642, 0.0495614942866338,          0.123899374628808, 0.205979542456043, 0.04565204632056,          0.271122867675942, 0.0683172333971998, 0.21237786594893,          0.0752464841458058, 0.0738703098972174, 0.190953240917096,          0.190953240917096, 0.321659607097496, 0.417643104955167,          8.52808058992138e-07, 0.093687407280864, 0.265115106421715,          0.0937132175773042), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 2L, 0L, 2L, 2L, 0L, 1L, 0L, 2L, 1L, 0L, 1L, 1L, 0L,          0L, 1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(3L, 5L,          3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 4L, 4L, 4L, 3L,          4L, 3L, 5L, 5L), WITHIN_350M_BUS = c(12L, 11L, 7L, 11L,          11L, 6L, 11L, 9L, 14L, 9L, 11L, 13L, 9L, 9L, 6L, 5L,          8L, 7L, 2L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 4L, 4L, 6L, 3L, 4L, 4L, 3L, 5L, 5L, 5L, 4L, 5L, 5L,          6L, 5L), DNeighbour = c(0, 124.119442540055, 151.733707290082,          166.676511733309, 167.082625281408, 181.756941286703,          194.655626654086, 201.830225285797, 206.90281037446,          226.863492217496, 233.923788660048, 245.746996115588,          320.968484661485, 321.620074915019, 420.577251389493,          426.72931515314, 474.974720350829, 489.93978427517, 557.484989982819,          561.449685859231)), row.names = c("645", "356", "34",      "662", "710", "690", "21", "282", "863", "8", "361", "616",      "442", "760", "183", "988", "420", "670", "779", "376"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.90464493599331, 0.85926055132164, 0.831505657425599, 0.83072165185629,      0.801383453871573, 0.774044256124385, 0.75824693310823, 0.746835520240373,      0.70011637123066, 0.682951909861623, 0.653539629328414, 0.453176913483135,      0.451390339114126, 0.192599638910144, 0.178358744788176,      0.0808374648355394, 0.0568874195460103, 0.000198055018410789,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1037478101 
R squared (OOB):                  0.4478369 

$Forests[[646]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 582000, 515000,      440000, 445000, 538000, 680000, 520000, 310000, 446000, 638000,      418000, 409500, 480000, 330000, 315000, 465000, 385000, 545000,      680000), floor_area_sqm = c(104, 104, 110, 93, 84, 90, 76,      107, 82, 94, 105, 84, 84, 94, 82, 87, 91, 93, 86, 86), storey_order = c(1L,      3L, 1L, 3L, 3L, 5L, 11L, 2L, 5L, 2L, 3L, 3L, 3L, 6L, 4L,      1L, 2L, 1L, 1L, 3L), remaining_lease_mths = c(828, 935, 859,      759, 647, 995, 1071, 892, 656, 723, 918, 804, 807, 725, 657,      633, 764, 772, 1025, 1025), PROX_CBD = c(5.12061996426338,      5.4901102241405, 5.31333197008925, 5.4791067318598, 4.82546817648507,      4.4759193492502, 5.17664618337401, 4.23142849537126, 5.9699685911294,      4.45295385586978, 5.24252163748666, 4.20973993763024, 4.20973993763024,      4.50933618399607, 6.06674643703895, 5.88382015009973, 4.28329341592686,      4.25035751849909, 5.19905620756448, 5.19905620756448), PROX_ELDERLYCARE = c(0.279354008399566,      0.157919913507301, 0.301885421229742, 0.505585511375112,      0.401252043911139, 0.136621520737764, 0.203403853153192,      0.272010492111063, 4.28110190953706e-07, 0.645271528549996,      0.232760622048558, 0.156291063754703, 0.156291063754703,      0.665866395733666, 0.10409496222889, 0.599695566252105, 0.4193003334471,      0.411587417191489, 0.3148233892717, 0.3148233892717), PROX_HAWKER = c(0.158729667464322,      0.258924665495, 0.15027253820603, 0.736115689949186, 0.33634581375869,      0.736355433757935, 0.242990200436355, 0.392124905911543,      0.247906315943116, 0.601904675681234, 0.316098981667774,      0.46881842734995, 0.46881842734995, 0.665007751295857, 0.346985863757343,      0.302293625820731, 0.638679046714181, 0.610932712322496,      0.424686940189847, 0.424686940189847), PROX_MRT = c(1.12797954219589,      1.30755754576723, 0.839256513816073, 0.797555156120123, 0.437510974512092,      0.930431293452388, 0.347215067697513, 0.870814763860364,      1.03854772657135, 0.66128766903618, 0.353807427048722, 0.750034220630686,      0.750034220630686, 0.549595780709265, 1.1005845300218, 0.37771060533367,      0.637237645879563, 0.605174310138743, 0.253583166891469,      0.253583166891469), PROX_PARK = c(1.12857946410316, 0.803347187860442,      0.919693677764514, 0.728040918615253, 0.386749503328341,      0.786607284590569, 0.502895249788983, 0.989030190878471,      0.792968228054446, 0.473457593144303, 0.540897442657821,      0.828179073128827, 0.828179073128827, 0.353281501558379,      0.741200181243785, 1.09766236241216, 0.336599362476296, 0.346786980248178,      0.482110245392283, 0.482110245392283), PROX_GOOD_PRISCH = c(2.70116277997296,      2.45379201830723, 2.32631552336422, 2.93310132502147, 2.65585299610189,      3.43096694593549, 2.27859573799937, 3.47561641519302, 1.89588922913119,      3.02211493728223, 2.20280244575696, 3.58178441884724, 3.58178441884724,      2.94429219434277, 1.85819018299306, 1.61186682958131, 3.85984302070176,      3.87277035706644, 2.22494939608982, 2.22494939608982), PROX_MALL = c(1.02774547618649,      1.21674302842157, 0.752077094160308, 0.719613179783111, 0.337875853585261,      1.02435160052226, 0.285366785950761, 1.1888213641646, 1.25835483053691,      0.570379319619026, 0.315823950773482, 1.26743973989934, 1.26743973989934,      0.485349818185599, 1.22044581333525, 0.966526596905427, 0.92062293894618,      0.955673327573223, 0.31885342913617, 0.31885342913617), PROX_CHAS = c(0.193072984237221,      0.233242749827373, 0.111194343620761, 0.0706483510319072,      0.315432137833306, 0.105578702221058, 0.0737889624358689,      0.106822211501606, 0.21461630683628, 0.303272176186244, 0.0731998871787336,      0.163154212627783, 0.163154212627783, 0.331046161101227,      0.252393584019624, 0.256579842259861, 0.285886541141976,      0.260827480873255, 0.211748617283041, 0.211748617283041),          PROX_SUPERMARKET = c(0.198191070641627, 0.37596142908425,          0.370675298005651, 0.0706487501399716, 0.0907256678718214,          0.0670716613901785, 0.177322353300672, 0.139079920157556,          0.227231659318009, 0.34627255092781, 0.266280670019211,          0.118448079318654, 0.118448079318654, 0.325943517329761,          0.321431524942613, 0.27867057765081, 0.506434284786685,          0.512280309006142, 0.199301193911681, 0.199301193911681         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 1L, 0L, 0L, 0L,          1L, 2L, 0L, 0L, 3L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 4L, 4L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 3L, 2L, 2L, 2L,          7L, 6L, 2L, 1L, 5L, 3L, 3L, 1L, 2L, 4L, 4L, 5L, 6L, 6L         ), WITHIN_350M_BUS = c(9L, 10L, 12L, 3L, 8L, 5L, 9L,          7L, 8L, 6L, 10L, 7L, 7L, 5L, 6L, 8L, 5L, 5L, 9L, 9L),          WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L, 2L, 3L, 4L, 2L,          4L, 1L, 4L, 3L, 3L, 0L, 5L, 4L, 3L, 3L, 3L, 3L), DNeighbour = c(0,          373.110576672703, 436.382489796936, 720.59234407763,          736.71927791441, 741.796887403894, 870.510802260679,          883.516680727556, 891.485868994268, 916.807980282343,          931.670941452173, 941.855154452859, 945.344338117014,          960.800624965509, 978.904254829182, 1151.20712070205,          1151.22027582907, 1164.19169735143, 1237.74575615194,          1238.79126172338)), row.names = c("646", "307", "279",      "802", "288", "411", "897", "849", "920", "346", "472", "907",      "382", "622", "628", "201", "747", "19", "533", "181"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.826799306497523, 0.76721753691204, 0.437763361016042, 0.417732384453508,      0.411432661297071, 0.256237314996986, 0.241408488917051,      0.232435645582251, 0.204555026439343, 0.188681372087408,      0.178034427631572, 0.174431848850812, 0.158763996203424,      0.141052386602633, 0.0186060263243873, 0.0186006422616326,      0.0136452479530373, 2.84675320285599e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6663313373 
R squared (OOB):                  0.443133 

$Forests[[647]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(507000, 550000, 492000,      515000, 455000, 518000, 480000, 420000, 475000, 592000, 635000,      335000, 370000, 335000, 330000, 340000, 355000, 405000, 375000,      330000), floor_area_sqm = c(105, 105, 84, 105, 95, 88, 84,      84, 89, 108, 105, 84, 92, 91, 91, 91, 91, 102, 92, 82), storey_order = c(2L,      3L, 4L, 2L, 2L, 3L, 1L, 2L, 1L, 2L, 4L, 2L, 4L, 3L, 4L, 1L,      3L, 3L, 2L, 4L), remaining_lease_mths = c(770, 786, 788,      762, 784, 770, 789, 777, 789, 810, 833, 791, 699, 754, 777,      786, 763, 928, 695, 657), PROX_CBD = c(7.67544881001386,      7.59960912304084, 7.5632891932167, 7.9455961592131, 7.49071683084666,      7.79515244158294, 7.1729887096531, 7.13486939655985, 7.05609226259357,      7.18468073982128, 7.22087947204147, 9.13853516155078, 8.34406204250889,      8.32334928378694, 9.37335060635629, 9.37335060635629, 9.41668106440496,      9.51108523911647, 8.4016901584654, 6.06674643703895), PROX_ELDERLYCARE = c(1.73611556579875,      1.85656629786719, 1.91313469252559, 1.77517839654503, 1.54524415115482,      1.83577537822547, 1.69705296801524, 1.66246099208497, 1.59520672965634,      1.63490637838594, 1.54373359073656, 1.86142420062345, 0.224798473876808,      0.163895949541214, 1.66235796621519, 1.66235796621519, 1.6892356184521,      1.80905665624389, 0.150390524199432, 0.10409496222889), PROX_HAWKER = c(0.926505356032751,      1.04404154823438, 1.10032443578502, 0.800389309546525, 0.996854886033364,      1.19066876388205, 1.25907896080059, 1.23225985170817, 1.17571504816288,      1.02937341390922, 1.05968958012269, 0.823671555860494, 0.308707066729857,      0.1672780527947, 0.823170476035045, 0.823170476035045, 0.864780296064508,      0.978663880778012, 0.205000896629144, 0.346985863757343),          PROX_MRT = c(0.617354557404891, 0.492673618184051, 0.433934859087748,          0.75069701440163, 0.34804043957783, 0.499752126280618,          0.428812034955963, 0.448181123975075, 0.487588773645627,          0.13577722868059, 0.206889953987817, 1.58022074581844,          1.14033242259394, 1.03738004469153, 2.01327082024864,          2.01327082024864, 2.02952953118228, 1.99882067476962,          0.747297636603152, 1.1005845300218), PROX_PARK = c(0.29052205197453,          0.415297912555755, 0.474041874627479, 0.364839433462782,          0.292176487074364, 0.723268787935639, 0.405529884687165,          0.367092279962757, 0.288106802683489, 0.802458220215738,          0.769170147627311, 0.533109662164166, 0.748901820021747,          0.839050716088865, 0.548771819269344, 0.548771819269344,          0.564264159971047, 0.674672834209049, 0.784786352249359,          0.741200181243785), PROX_GOOD_PRISCH = c(2.0690813845722,          2.14133679267892, 2.17804686625686, 1.79538098544694,          2.30076298730527, 1.9917971907287, 2.56840479702555,          2.60671936453148, 2.64150694603645, 2.6636605310312,          2.65891054731874, 0.605615063995802, 1.74338078296013,          1.6197212814627, 0.581790960048334, 0.581790960048334,          0.555662252109323, 0.439174603441127, 1.42922442943649,          1.85819018299306), PROX_MALL = c(0.59706101530086, 0.472342316185911,          0.413593098419561, 0.730136421618933, 0.79872232386887,          0.483735594398556, 0.42122511428052, 0.44210957307938,          0.487675149993812, 0.319563922107573, 0.389192825268572,          0.925377142856182, 0.813314037197816, 0.952850965311535,          0.835862391091354, 0.835862391091354, 0.873946799305891,          0.994410311642026, 0.856591768216477, 1.22044581333525         ), PROX_CHAS = c(0.183520259224292, 0.0587537711423344,          5.15903103580734e-08, 0.312128892467037, 0.204927614889482,          0.157541179554435, 0.364873472162596, 0.395328272461269,          0.464118937564998, 0.244287808759251, 0.201367273106442,          0.179557542480515, 0.347263729641395, 0.218034921212892,          0.240374554675797, 0.240374554675797, 0.248119447519373,          0.21913048386411, 0.14998683096932, 0.252393584019624         ), PROX_SUPERMARKET = c(0.242167451420959, 0.121599745844786,          0.0709823460282706, 0.390939423908347, 0.535956758401375,          0.305647853022819, 0.372543253077343, 0.392878094873427,          0.438288204779491, 0.350395790631763, 0.425467495913439,          0.223142170833011, 0.624544400837596, 0.502751024921131,          0.322141005481158, 0.322141005481158, 0.315469124538892,          0.21913043091083, 0.194600933367586, 0.321431524942613         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 1L,          1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 0L, 0L, 1L, 2L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 4L, 4L, 3L, 2L,          3L, 4L, 3L, 6L, 7L, 3L, 1L, 1L, 2L, 2L, 2L, 4L, 3L, 2L         ), WITHIN_350M_BUS = c(8L, 8L, 9L, 7L, 4L, 10L, 8L, 7L,          5L, 12L, 11L, 11L, 5L, 4L, 5L, 5L, 6L, 7L, 7L, 6L), WITHIN_1KM_PRISCH = c(4L,          4L, 3L, 3L, 4L, 2L, 3L, 3L, 2L, 1L, 1L, 2L, 3L, 3L, 1L,          1L, 1L, 1L, 3L, 5L), DNeighbour = c(0, 128.028403027344,          181.106585255633, 293.719459541229, 366.669100221908,          498.990166543084, 500.476471123402, 539.539085401195,          617.992919103103, 909.751769817988, 968.092093950209,          1467.47106588734, 1515.4776615127, 1621.74202690772,          1723.03092205064, 1723.67906433173, 1764.53430042774,          1853.11593797628, 1952.05699763272, 1970.56974209595)), row.names = c("647",      "735", "829", "345", "950", "209", "133", "82", "449", "370",      "344", "485", "204", "713", "334", "737", "725", "719", "682",      "628"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.991575551953236,      0.983178031804819, 0.95605995464267, 0.931952704412772, 0.875869483935269,      0.875153582191246, 0.855688583185665, 0.812969041437155,      0.619150793641663, 0.575547778759423, 0.198408906629861,      0.166915970957903, 0.104136450138092, 0.0554394958553844,      0.0551689130337546, 0.0392755281274882, 0.0133761553529457,      0.000349726339411448, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6606100319 
R squared (OOB):                  0.2590394 

$Forests[[648]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(3e+05, 380000, 350000,      388800, 333000, 335000, 390000, 420000, 680000, 660000, 562000,      540000, 380000, 462000, 735000, 347000, 320000, 325000, 370000,      398000), floor_area_sqm = c(92, 92, 92, 98, 89, 83, 92, 92,      87, 87, 107, 107, 92, 105, 97, 90, 90, 82, 84, 92), storey_order = c(2L,      4L, 4L, 2L, 1L, 3L, 1L, 5L, 6L, 3L, 7L, 6L, 2L, 1L, 6L, 5L,      2L, 4L, 3L, 3L), remaining_lease_mths = c(691, 693, 688,      697, 692, 687, 685, 694, 1076, 1066, 957, 969, 687, 965,      1066, 672, 672, 666, 673, 714), PROX_CBD = c(10.7273754880637,      10.7273754880637, 10.7428660694501, 10.7178846249378, 10.7178846249378,      10.5501175985891, 10.3184291669162, 10.5902646894981, 10.1126951054664,      10.1126951054664, 10.9472701195372, 11.0486323727393, 10.571248724537,      10.9320040827019, 9.96973817000633, 10.5036676165143, 10.5036676165143,      10.0782341562763, 10.6549850760698, 9.95525560808738), PROX_ELDERLYCARE = c(0.968089576161562,      0.968089576161562, 1.00386291289403, 0.903749132751209, 0.903749132751209,      0.724362239545807, 0.724299376510179, 0.476382036969741,      0.511544492658224, 0.511544492658224, 0.867518349265545,      0.974567200018427, 0.426373779355343, 0.83761180429981, 0.560133969723593,      0.346712236264009, 0.346712236264009, 0.248412112584261,      0.531453703929196, 0.150508443509651), PROX_HAWKER = c(0.259491073356982,      0.259491073356982, 0.19921426515349, 0.131164348467149, 0.131164348467149,      0.496328097640832, 0.285348407142059, 0.142004884371921,      0.268370020499938, 0.268370020499938, 0.429153921265228,      0.436692566666558, 0.155284554597335, 0.499252912381913,      0.246219700947935, 0.255376275980047, 0.255376275980047,      0.250435976222025, 0.345053577007401, 0.153089379504462),          PROX_MRT = c(0.880392787161762, 0.880392787161762, 0.911557541227745,          0.897030842789514, 0.897030842789514, 0.92637591011884,          0.752281430413819, 0.793335563342317, 0.549740095282867,          0.549740095282867, 0.638393210693291, 0.741783227751877,          0.822399768635659, 0.582189406643083, 0.405168801785449,          0.908007357991278, 0.908007357991278, 0.622308556906305,          0.849090589690401, 0.521845664201362), PROX_PARK = c(0.675703893946554,          0.675703893946554, 0.65460215425144, 0.68415716278098,          0.68415716278098, 0.888350706343443, 1.05219739289641,          0.57091664624863, 0.878497256111703, 0.878497256111703,          0.730900012581548, 0.644279497097323, 0.471129460807546,          0.802226928628916, 0.868342722448078, 0.381418159266178,          0.381418159266178, 0.627458410441261, 0.204920490916151,          0.730503149795042), PROX_GOOD_PRISCH = c(1.51964159199475,          1.51964159199475, 1.57772010642862, 1.69245386393467,          1.69245386393467, 1.37609088117382, 1.54472866778257,          0.962114901666907, 1.46177539101005, 1.46177539101005,          1.50789829567152, 1.50173151878208, 0.876989954992127,          1.4460454342776, 1.55873028154778, 0.825686703361669,          0.825686703361669, 1.26151864262594, 0.576127248022356,          2.01039924795066), PROX_MALL = c(0.885934538444454, 0.885934538444454,          0.913300066979642, 0.922177591154216, 0.922177591154216,          0.693136328895784, 0.472532088410597, 0.838333779631814,          0.269774803261538, 0.269774803261538, 1.34630282297423,          1.41292867182356, 0.872531493441133, 1.37776203899083,          0.129560175686973, 0.873995522285645, 0.873995522285645,          0.418279044459304, 1.12054305374088, 0.757457219803541         ), PROX_CHAS = c(0.161497017697243, 0.161497017697243,          0.184868017131885, 0.141741960002869, 0.141741960002869,          0.120595382532287, 0.165961529218061, 0.0950095589968322,          0.20472250196774, 0.20472250196774, 0.344403926608958,          0.375455350402476, 0.109732367463933, 0.293630149165848,          0.0647243745052949, 0.217153936659979, 0.217153936659979,          0.186550674976261, 0.290835710912963, 0.144412947448491         ), PROX_SUPERMARKET = c(0.294310303883692, 0.294310303883692,          0.247977273863763, 0.141741503991008, 0.141741503991008,          0.448117335537485, 0.447507928623339, 0.190547463602814,          0.35798039621586, 0.35798039621586, 0.381194313170787,          0.408205375796458, 0.199099262156692, 0.445162931243089,          0.241122798862169, 0.291549431934698, 0.291549431934698,          0.255147915067147, 0.292451786949051, 0.204623167766534         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 4L, 4L, 2L,          4L, 2L, 6L, 6L, 0L, 0L, 3L, 0L, 6L, 2L, 2L, 5L, 1L, 3L         ), WITHIN_350M_BUS = c(4L, 4L, 5L, 6L, 6L, 6L, 7L, 6L,          6L, 6L, 2L, 2L, 5L, 0L, 7L, 6L, 6L, 5L, 7L, 9L), WITHIN_1KM_PRISCH = c(5L,          5L, 5L, 5L, 5L, 5L, 5L, 2L, 3L, 3L, 4L, 3L, 2L, 4L, 2L,          2L, 2L, 2L, 2L, 4L), DNeighbour = c(0, 4.73760018990583,          66.1394003707283, 171.974664272336, 182.222073974675,          248.40702867339, 405.267840438255, 603.267194295226,          655.998147481688, 666.090703307474, 691.319701653524,          697.853380219613, 704.250154347254, 753.667570920227,          794.520090470944, 806.07295608212, 812.729418628377,          840.721177023126, 992.637385063514, 1130.95585995449)), row.names = c("648",      "651", "43", "429", "914", "778", "97", "701", "316", "506",      "255", "630", "210", "671", "471", "482", "940", "84", "728",      "971"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999964904479346,      0.993171647899661, 0.954289354367898, 0.948753226167879,      0.905840933904596, 0.759672154601419, 0.511897279881797,      0.440305405615851, 0.426569726640293, 0.392312629606748,      0.383473656484531, 0.374838271760286, 0.309038937291411,      0.256506221313797, 0.242071275700555, 0.233852380039189,      0.200164729804835, 0.0527376086516734, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5407455307 
R squared (OOB):                  0.682362 

$Forests[[649]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(5e+05, 535000, 480000,      5e+05, 468888, 688000, 478000, 653000, 742000, 729999, 745000,      682000, 4e+05, 360000, 4e+05, 363000, 7e+05, 413888, 680000,      620000), floor_area_sqm = c(91, 92, 92, 91, 92, 90, 92, 91,      92, 100, 100, 100, 92, 92, 104, 97, 95, 88, 104, 104), storey_order = c(2L,      3L, 3L, 1L, 3L, 6L, 4L, 2L, 7L, 6L, 10L, 10L, 3L, 2L, 4L,      4L, 3L, 2L, 4L, 1L), remaining_lease_mths = c(706, 694, 692,      690, 701, 985, 716, 1121, 1104, 1122, 1122, 1120, 708, 719,      745, 701, 1100, 668, 806, 802), PROX_CBD = c(10.2657373615824,      9.76973796844692, 9.76973796844692, 10.2183960492338, 9.79963982832759,      9.84174458192399, 9.58813304663833, 9.51816518584724, 9.57467117229508,      9.41601606571959, 9.28682806708392, 9.28682806708392, 10.1748545259067,      10.2629321739313, 9.4187827620762, 12.1013944735855, 7.97001655790022,      7.88501742637481, 10.251706958731, 10.3151427398556), PROX_ELDERLYCARE = c(0.519949541574078,      0.487200680071974, 0.487200680071974, 0.670964346371623,      0.390845215421192, 0.339166460968835, 0.251441869005946,      0.0590206014568566, 0.0836678964153836, 0.14515851054369,      0.306248896776786, 0.306248896776786, 0.889757070081441,      1.00265829049513, 0.579996323717894, 2.41403538414825, 0.682273370470252,      0.487583248392117, 0.2905717823942, 0.330781443478472), PROX_HAWKER = c(0.527790221924738,      0.323134910569429, 0.323134910569429, 0.161327078165055,      0.315572935590663, 0.272020065995023, 0.391674386653945,      0.5145461029689, 0.628838904549623, 0.552624576950901, 0.449541776391294,      0.449541776391294, 0.304343114187016, 0.370496257898541,      0.508914568418093, 0.561617227785994, 0.840126401207934,      0.645875214067525, 0.185152730473859, 0.158411808335189),          PROX_MRT = c(0.351828842975553, 0.307725216106606, 0.307725216106606,          0.352113639571012, 0.308409661615337, 0.348847208140378,          0.707146681079003, 0.689820066215858, 0.731513991246432,          0.796240617220745, 0.819017740329599, 0.819017740329599,          1.12559589355515, 1.21137251272603, 1.21403827268849,          1.71497473755306, 0.726942522279936, 0.707952731476156,          0.329298986744561, 0.225881718556356), PROX_PARK = c(0.752867192571236,          0.692980820038259, 0.692980820038259, 0.412720152963846,          0.556935587195362, 0.429024269124863, 0.630094576064042,          0.506309566114581, 0.402026431996325, 0.579398729399101,          0.754667699158598, 0.754667699158598, 0.326884491561474,          0.429817985649402, 0.633868788719276, 0.181629272169071,          0.618444971248099, 0.511064020035708, 0.433052663426989,          0.503726079472253), PROX_GOOD_PRISCH = c(0.402201611323318,          0.945616550360875, 0.945616550360875, 0.778258345851083,          0.97109568154285, 0.999365026226873, 1.10432321767326,          1.35033962190844, 1.37880970746963, 1.45792936689373,          1.50498632547922, 1.50498632547922, 1.53712936271762,          1.58756538029025, 1.8319493658717, 1.52909264222103,          2.78644315018514, 2.82520953766913, 0.178279914989512,          0.238878321625081), PROX_MALL = c(0.347570072991699,          0.3113714109904, 0.3113714109904, 0.1993183735571, 0.277854565241424,          0.188176716989659, 0.759347764163403, 0.508727078362918,          0.493679276753517, 0.616886214909116, 0.732362808464395,          0.732362808464395, 0.493589384976364, 0.573348708551386,          0.308706652763352, 1.69674818443598, 0.66906173274608,          0.535655644340599, 0.409325390211749, 0.307979604675516         ), PROX_CHAS = c(0.329846033180528, 0.164045702260751,          0.164045702260751, 0.176868193181362, 0.213793078898363,          0.139131199666608, 0.395290416984683, 0.0590210156667789,          0.0836673580931749, 0.145158576319141, 0.30624919123722,          0.30624919123722, 0.118978706369709, 0.166187985395119,          0.308706623046814, 0.26797195188846, 0.195243012850588,          0.102679570293108, 0.239000132427376, 0.132816387601245         ), PROX_SUPERMARKET = c(0.353445486406562, 0.329801606095394,          0.329801606095394, 0.245740902557878, 0.217115292225756,          0.139131268426574, 0.20799335196523, 0.0642147642973091,          0.0769150331708007, 0.145877744762322, 0.309780650655361,          0.309780650655361, 0.371852561025965, 0.394772134126693,          0.31508799294366, 0.570395350553557, 0.169510705521186,          0.158953339299884, 0.258988936146552, 0.143795860421689         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 1L, 1L,          0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 3L, 6L, 4L, 4L,          2L, 1L, 2L, 1L, 1L, 1L, 3L, 1L, 4L, 1L, 0L, 1L, 2L, 4L         ), WITHIN_350M_BUS = c(10L, 11L, 11L, 6L, 11L, 9L, 7L,          7L, 7L, 8L, 7L, 7L, 8L, 7L, 3L, 10L, 7L, 5L, 6L, 8L),          WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 3L, 3L, 2L, 2L,          2L, 2L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 2L, 2L), DNeighbour = c(0,          568.796873502765, 576.3868901473, 625.778291250212, 630.468071276999,          696.166699802205, 713.276219238282, 1015.55510737145,          1078.9574658713, 1123.44039989927, 1133.7632453759, 1141.31813684553,          1434.42022152736, 1505.36789400096, 1559.576769619, 1909.94626271985,          2389.57385822155, 2430.47575343658, 2522.54710275513,          2634.04747346151)), row.names = c("649", "68", "926",      "584", "943", "268", "640", "983", "551", "928", "308", "794",      "245", "244", "278", "40", "904", "338", "775", "108"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.908913990509139, 0.906526857216907, 0.890303809584034,      0.888702100114514, 0.865175167321098, 0.858721479452287,      0.724799806565346, 0.692576455667365, 0.66927378039224, 0.663790220983209,      0.659759686642488, 0.494834530572018, 0.45344535630013, 0.42176816275298,      0.224894898172299, 0.0313331017891693, 0.0220809439189253,      0.0068672713080412, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6751350252 
R squared (OOB):                  0.63783 

$Forests[[650]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(3e+05, 325000, 333000,      360000, 420000, 428000, 425000, 431000, 395000, 395000, 426000,      410000, 330000, 355000, 308000, 360000, 380000, 315000, 345000,      295000), floor_area_sqm = c(84, 84, 103, 99, 90, 90, 92,      92, 92, 90, 92, 92, 103, 103, 84, 103, 93, 84, 103, 106),          storey_order = c(2L, 2L, 2L, 2L, 8L, 8L, 6L, 9L, 4L,          5L, 6L, 2L, 2L, 3L, 1L, 1L, 1L, 3L, 5L, 1L), remaining_lease_mths = c(797,          783, 788, 796, 1011, 1008, 1006, 1010, 1010, 1010, 1012,          1004, 800, 793, 795, 777, 1142, 788, 944, 825), PROX_CBD = c(14.3169519114025,          14.1279251783367, 14.3532733654858, 13.8977069202737,          13.8798013735997, 13.8412030491349, 14.0603534116893,          14.0603534116893, 14.0603534116893, 13.990153115514,          14.0324943086614, 14.000256381606, 13.46147060752, 13.46147060752,          13.3304860768802, 13.7231688188033, 15.6174435761395,          13.0463978034086, 15.6615925135045, 14.7220636963442),          PROX_ELDERLYCARE = c(1.55261218152075, 1.66641228888996,          1.6760601574403, 1.56746404607568, 1.77270985488013,          1.74703283433278, 1.50084223071099, 1.50084223071099,          1.50084223071099, 1.56992496550613, 1.51384309451853,          1.50178268661881, 1.01995663096129, 1.01995663096129,          0.85382998667073, 0.681177733621966, 0.457575537702088,          0.612412426395362, 0.372854461013726, 0.327768156942021         ), PROX_HAWKER = c(1.19367588944735, 1.24304803992561,          0.99569743308136, 1.04237506554324, 1.47024255459416,          1.43519165592487, 1.69193386873811, 1.69193386873811,          1.69193386873811, 1.69002608854433, 1.73133481154049,          1.77005964815816, 1.03983060555389, 1.03983060555389,          1.09459947163448, 0.601426993813282, 2.21004723991438,          1.36023111372333, 2.39243139523594, 1.39864823048803),          PROX_MRT = c(0.753004841751307, 0.59155533687368, 0.756418829435307,          0.300373388684648, 0.523014705157119, 0.462396576385451,          0.836549486170002, 0.836549486170002, 0.836549486170002,          0.789673249073619, 0.85175230125279, 0.865600228728207,          0.367668143276235, 0.367668143276235, 0.525688124362732,          0.498221170198522, 0.70935210619912, 0.622051877914657,          0.499275570100955, 0.0523025726452692), PROX_PARK = c(1.00962818739137,          1.00515750023779, 1.20426051281307, 0.782220037546154,          0.782127938386311, 0.752068597068081, 0.66093693759156,          0.66093693759156, 0.66093693759156, 0.716145735764812,          0.65310707550057, 0.652876507033438, 0.582693033366388,          0.582693033366388, 0.620743454357064, 1.26781451063295,          1.21748666352844, 0.572775970192077, 1.19384102986047,          0.432331111477529), PROX_GOOD_PRISCH = c(4.27446656255715,          4.09179045416031, 4.29145341198416, 3.83525569342672,          3.87304276717541, 3.82728738248792, 4.09775909461572,          4.09775909461572, 4.09775909461572, 4.0269654833207,          4.07805978762992, 4.05408625233137, 3.38131302543864,          3.38131302543864, 3.24954726475941, 3.673854441535, 5.63578467655705,          2.96540091825049, 5.71328270316738, 4.99661753747661),          PROX_MALL = c(1.50622914679999, 1.48884664162065, 1.45738633765159,          1.14150204308926, 1.33861894221302, 1.33339622609195,          1.38265334141638, 1.38265334141638, 1.38265334141638,          1.32125061115982, 1.34360210764349, 1.30130189944441,          0.644549177151603, 0.644549177151603, 0.513372166694422,          0.406890039239853, 0.401390812484646, 0.587476612974174,          0.238209845871265, 0.343882807046916), PROX_CHAS = c(0.149961616171305,          0.283027750434604, 0.0428610630237518, 0.162936326565904,          0.058882652003164, 0.116038559859119, 0.266609427013402,          0.266609427013402, 0.266609427013402, 0.231188025602735,          0.288579392766018, 0.313291309929199, 0.348399033159575,          0.348399033159575, 0.472814153962233, 0.176857487498571,          0.187858028295528, 0.40513819943783, 0.238209795937414,          0.141205029857343), PROX_SUPERMARKET = c(0.277976240278344,          0.283027750434408, 0.400567683079086, 0.162936951836525,          0.0588826520022197, 0.116038559858059, 0.266609427014493,          0.266609427014493, 0.266609427014493, 0.231188025603748,          0.288579392767071, 0.313291309930196, 0.356146193343619,          0.356146193343619, 0.510727353781082, 0.270532795629183,          0.412009517866082, 0.599997973636583, 0.238833101010687,          0.141204847242777), WITHIN_350M_KINDERGARTEN = c(3L,          2L, 2L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L,          0L, 3L, 2L, 3L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 4L, 2L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 4L,          3L, 2L, 5L, 3L), WITHIN_350M_BUS = c(9L, 10L, 10L, 5L,          5L, 5L, 4L, 4L, 4L, 4L, 4L, 3L, 6L, 6L, 5L, 8L, 15L,          7L, 16L, 8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 3L, 2L,          3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 3L,          2L), DNeighbour = c(0, 190.925341294973, 201.729469152976,          478.573618221914, 489.568026910154, 509.698428023782,          553.380274964427, 556.135856521425, 557.967803021688,          579.664056496481, 597.530308463644, 648.753258761702,          1022.21902860196, 1031.37795278047, 1200.93943215316,          1379.05393315904, 1411.52481351647, 1436.72176853224,          1543.41548886808, 1569.8754555467)), row.names = c("650",      "893", "697", "479", "877", "678", "241", "55", "805", "276",      "675", "726", "526", "332", "61", "960", "766", "987", "572",      "786"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.970636826345712,      0.967248002052928, 0.822771647980052, 0.814955102443806,      0.800285025033052, 0.766927763092331, 0.764756482238882,      0.763308731210955, 0.745909108147836, 0.731241030690879,      0.687611223493122, 0.331785372454329, 0.323051613070984,      0.172050663497288, 0.0521341938051764, 0.0366960595479429,      0.0263873695586788, 0.00111726760038069, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       760973142 
R squared (OOB):                  0.655169 

$Forests[[651]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 3e+05, 350000,      388800, 333000, 335000, 390000, 420000, 680000, 660000, 562000,      540000, 380000, 462000, 735000, 347000, 320000, 325000, 370000,      398000), floor_area_sqm = c(92, 92, 92, 98, 89, 83, 92, 92,      87, 87, 107, 107, 92, 105, 97, 90, 90, 82, 84, 92), storey_order = c(4L,      2L, 4L, 2L, 1L, 3L, 1L, 5L, 6L, 3L, 7L, 6L, 2L, 1L, 6L, 5L,      2L, 4L, 3L, 3L), remaining_lease_mths = c(693, 691, 688,      697, 692, 687, 685, 694, 1076, 1066, 957, 969, 687, 965,      1066, 672, 672, 666, 673, 714), PROX_CBD = c(10.7273754880637,      10.7273754880637, 10.7428660694501, 10.7178846249378, 10.7178846249378,      10.5501175985891, 10.3184291669162, 10.5902646894981, 10.1126951054664,      10.1126951054664, 10.9472701195372, 11.0486323727393, 10.571248724537,      10.9320040827019, 9.96973817000633, 10.5036676165143, 10.5036676165143,      10.0782341562763, 10.6549850760698, 9.95525560808738), PROX_ELDERLYCARE = c(0.968089576161562,      0.968089576161562, 1.00386291289403, 0.903749132751209, 0.903749132751209,      0.724362239545807, 0.724299376510179, 0.476382036969741,      0.511544492658224, 0.511544492658224, 0.867518349265545,      0.974567200018427, 0.426373779355343, 0.83761180429981, 0.560133969723593,      0.346712236264009, 0.346712236264009, 0.248412112584261,      0.531453703929196, 0.150508443509651), PROX_HAWKER = c(0.259491073356982,      0.259491073356982, 0.19921426515349, 0.131164348467149, 0.131164348467149,      0.496328097640832, 0.285348407142059, 0.142004884371921,      0.268370020499938, 0.268370020499938, 0.429153921265228,      0.436692566666558, 0.155284554597335, 0.499252912381913,      0.246219700947935, 0.255376275980047, 0.255376275980047,      0.250435976222025, 0.345053577007401, 0.153089379504462),          PROX_MRT = c(0.880392787161762, 0.880392787161762, 0.911557541227745,          0.897030842789514, 0.897030842789514, 0.92637591011884,          0.752281430413819, 0.793335563342317, 0.549740095282867,          0.549740095282867, 0.638393210693291, 0.741783227751877,          0.822399768635659, 0.582189406643083, 0.405168801785449,          0.908007357991278, 0.908007357991278, 0.622308556906305,          0.849090589690401, 0.521845664201362), PROX_PARK = c(0.675703893946554,          0.675703893946554, 0.65460215425144, 0.68415716278098,          0.68415716278098, 0.888350706343443, 1.05219739289641,          0.57091664624863, 0.878497256111703, 0.878497256111703,          0.730900012581548, 0.644279497097323, 0.471129460807546,          0.802226928628916, 0.868342722448078, 0.381418159266178,          0.381418159266178, 0.627458410441261, 0.204920490916151,          0.730503149795042), PROX_GOOD_PRISCH = c(1.51964159199475,          1.51964159199475, 1.57772010642862, 1.69245386393467,          1.69245386393467, 1.37609088117382, 1.54472866778257,          0.962114901666907, 1.46177539101005, 1.46177539101005,          1.50789829567152, 1.50173151878208, 0.876989954992127,          1.4460454342776, 1.55873028154778, 0.825686703361669,          0.825686703361669, 1.26151864262594, 0.576127248022356,          2.01039924795066), PROX_MALL = c(0.885934538444454, 0.885934538444454,          0.913300066979642, 0.922177591154216, 0.922177591154216,          0.693136328895784, 0.472532088410597, 0.838333779631814,          0.269774803261538, 0.269774803261538, 1.34630282297423,          1.41292867182356, 0.872531493441133, 1.37776203899083,          0.129560175686973, 0.873995522285645, 0.873995522285645,          0.418279044459304, 1.12054305374088, 0.757457219803541         ), PROX_CHAS = c(0.161497017697243, 0.161497017697243,          0.184868017131885, 0.141741960002869, 0.141741960002869,          0.120595382532287, 0.165961529218061, 0.0950095589968322,          0.20472250196774, 0.20472250196774, 0.344403926608958,          0.375455350402476, 0.109732367463933, 0.293630149165848,          0.0647243745052949, 0.217153936659979, 0.217153936659979,          0.186550674976261, 0.290835710912963, 0.144412947448491         ), PROX_SUPERMARKET = c(0.294310303883692, 0.294310303883692,          0.247977273863763, 0.141741503991008, 0.141741503991008,          0.448117335537485, 0.447507928623339, 0.190547463602814,          0.35798039621586, 0.35798039621586, 0.381194313170787,          0.408205375796458, 0.199099262156692, 0.445162931243089,          0.241122798862169, 0.291549431934698, 0.291549431934698,          0.255147915067147, 0.292451786949051, 0.204623167766534         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 4L, 4L, 2L,          4L, 2L, 6L, 6L, 0L, 0L, 3L, 0L, 6L, 2L, 2L, 5L, 1L, 3L         ), WITHIN_350M_BUS = c(4L, 4L, 5L, 6L, 6L, 6L, 7L, 6L,          6L, 6L, 2L, 2L, 5L, 0L, 7L, 6L, 6L, 5L, 7L, 9L), WITHIN_1KM_PRISCH = c(5L,          5L, 5L, 5L, 5L, 5L, 5L, 2L, 3L, 3L, 4L, 3L, 2L, 4L, 2L,          2L, 2L, 2L, 2L, 4L), DNeighbour = c(0, 4.73760018990583,          61.4219938531227, 167.70336545453, 177.999364317109,          252.746409681357, 407.760932844653, 607.953220286276,          659.366799506321, 669.464422785214, 686.606322577995,          693.12065662508, 708.934222554352, 748.99561895383, 797.542669690312,          810.791054637732, 817.447466709319, 844.875861709349,          997.178867595406, 1129.23769721242)), row.names = c("651",      "648", "43", "429", "914", "778", "97", "701", "316", "506",      "255", "630", "210", "671", "471", "482", "940", "84", "728",      "971"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999964797601656,      0.994091677854931, 0.956375851037959, 0.950924242930161,      0.902318440992668, 0.756223532439827, 0.504316542744793,      0.43435443451251, 0.42059535144616, 0.397283014943577, 0.388447388263917,      0.367076637420563, 0.313673593062116, 0.251189149762146,      0.234718980791176, 0.226555689635612, 0.193796268095698,      0.0484942347687728, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5596423870 
R squared (OOB):                  0.6712618 

$Forests[[652]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(540000, 5e+05, 505000,      505000, 510000, 475000, 495000, 490000, 540000, 380000, 565000,      575000, 580000, 520000, 580000, 548888, 376000, 433000, 374000,      350000), floor_area_sqm = c(90, 92, 92, 90, 93, 90, 93, 92,      93, 92, 92, 92, 92, 92, 92, 92, 102, 92, 103, 105), storey_order = c(3L,      3L, 4L, 6L, 3L, 5L, 3L, 3L, 4L, 1L, 3L, 4L, 4L, 1L, 4L, 2L,      5L, 4L, 2L, 1L), remaining_lease_mths = c(1067, 1049, 1051,      1033, 1076, 1031, 1076, 1038, 1075, 1037, 1127, 1137, 1140,      1138, 1134, 1130, 944, 1084, 862, 837), PROX_CBD = c(11.5237533038112,      11.4975151935682, 11.4388659085475, 11.6571985599938, 11.734228152501,      11.780035597066, 11.7824349405223, 11.6213283462416, 11.8019303594103,      11.6419253241709, 11.6525204845234, 11.6525204845234, 11.6525204845234,      11.6952918230505, 11.7494815193957, 11.7494815193957, 11.9885535057438,      11.8702915361943, 11.0478583208432, 10.9742090734032), PROX_ELDERLYCARE = c(0.374021376468387,      0.485429735975203, 0.529438756707198, 0.400746835300904,      0.217445500321488, 0.389019901488026, 0.213047345375207,      0.621923465733728, 0.184707688528033, 0.626216066088841,      0.090696724945174, 0.090696724945174, 0.090696724945174,      0.0818897866131208, 0.0736890817471424, 0.0736890817471424,      0.468647269590137, 0.670900780040593, 0.694826263841934,      0.852070403211021), PROX_HAWKER = c(0.235307086042243, 0.320302217757218,      0.319632581294072, 0.38372613736418, 0.366555491930585, 0.475091880549249,      0.411134055372247, 0.537052085835962, 0.425288384889406,      0.553081930127745, 0.325622570567264, 0.325622570567264,      0.325622570567264, 0.374319678668878, 0.418792449609449,      0.418792449609449, 0.661637750611862, 0.715369360111721,      0.33156405975617, 0.487483409830997), PROX_MRT = c(0.148196296616071,      0.24936700359253, 0.264110896255266, 0.187661086924798, 0.276453864170284,      0.149757666469573, 0.323171872402698, 0.182944945438028,      0.341923672362566, 0.168432978085695, 0.219824289848129,      0.219824289848129, 0.219824289848129, 0.18359152527436, 0.183595482094196,      0.183595482094196, 0.253577460439113, 0.146531371307633,      0.413251174688675, 0.534522073584246), PROX_PARK = c(0.808531626238996,      0.698336840868775, 0.653351036954048, 0.822874314333037,      1.00928973198994, 0.915827670442916, 1.04913519120928, 0.643411448820926,      1.09015045463689, 0.654970873229416, 1.18955170998222, 1.18955170998222,      1.18955170998222, 1.23082333360032, 1.25382465781663, 1.25382465781663,      0.965214735166117, 0.8322137924942, 0.855372307789476, 0.623434891123849     ), PROX_GOOD_PRISCH = c(2.43173748992112, 2.48345794754568,      2.45055199705462, 2.58492752090912, 2.54247396470066, 2.67648686403773,      2.5757070458522, 2.69528593883292, 2.57167610218627, 2.71543842399088,      2.3279627535371, 2.3279627535371, 2.3279627535371, 2.35260315569007,      2.40225451049103, 2.40225451049103, 2.84793008582659, 2.91053685401804,      1.96973866183315, 2.09882394138718), PROX_MALL = c(0.840908486660855,      0.805279144871904, 0.840491697823826, 0.718523422751835,      0.781937846313192, 0.657761426948524, 0.732391369928616,      0.597386337892971, 0.70263709534569, 0.576398809288588, 0.807719243520252,      0.807719243520252, 0.807719243520252, 0.785373664552542,      0.730910693989521, 0.730910693989521, 0.581599658792334,      0.385092319171944, 0.400154220571097, 0.606835933426222),          PROX_CHAS = c(0.0822817354855642, 0.18789773503711, 0.210772889992189,          0.162236141473446, 0.203102352137365, 0.165734916528407,          0.182294192745256, 0.130352204164602, 0.144895120017984,          0.118628580179885, 0.162428164506486, 0.162428164506486,          0.162428164506486, 0.141926234339659, 0.105514964386053,          0.105514964386053, 0.0548782345589675, 0.179381733260264,          0.193330180912365, 0.20965056306942), PROX_SUPERMARKET = c(0.113409172087645,          0.186124684843571, 0.189609627596398, 0.248678179468178,          0.206717744357565, 0.328761363845442, 0.186528474083994,          0.0679201472407272, 0.149354766345577, 0.0879874709963817,          0.158766807317564, 0.158766807317564, 0.158766807317564,          0.137537075296593, 0.100761764224213, 0.100761764224213,          0.41771106664497, 0.31749021679057, 0.392366955335671,          0.477398814511427), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 8L, 8L, 9L, 8L, 6L, 7L, 6L, 4L, 4L, 4L, 4L, 5L, 5L,          6L, 9L, 2L, 2L), WITHIN_350M_BUS = c(5L, 8L, 7L, 9L,          10L, 8L, 11L, 8L, 13L, 8L, 11L, 11L, 11L, 13L, 14L, 14L,          14L, 10L, 7L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 5L,          5L, 5L, 6L, 7L, 6L, 6L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 7L,          5L, 6L, 6L), DNeighbour = c(0, 112.268031930954, 149.218269339203,          156.012254677146, 229.292959614655, 260.000984845074,          281.148188708023, 309.71320191333, 312.949835725668,          318.091861349558, 390.323465757202, 394.564465672637,          395.507342982004, 424.987877604075, 448.095919693001,          454.136810131521, 474.194789482933, 483.159505947872,          500.116596412073, 555.516250093516)), row.names = c("652",      "553", "271", "977", "409", "263", "260", "89", "342", "421",      "557", "580", "792", "917", "281", "808", "486", "110", "694",      "239"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.919981961311995,      0.860901267284307, 0.84847644514102, 0.688289333640616, 0.60987250869876,      0.553328015865084, 0.474952356363219, 0.465993644992326,      0.451748690732221, 0.256348138803944, 0.245541852389962,      0.243155350159366, 0.171997299570779, 0.122044365908202,      0.110016300585781, 0.0736298656906504, 0.0593104135882449,      0.0359130937764875, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2359569329 
R squared (OOB):                  0.5558175 

$Forests[[653]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 423888, 362000,      420000, 4e+05, 4e+05, 412000, 367000, 418000, 370000, 428000,      415000, 420000, 416000, 433000, 4e+05, 323000, 310000, 415000,      395000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 92, 93, 92, 92, 92, 92, 104, 105, 92, 92), storey_order = c(2L,      5L, 1L, 3L, 3L, 2L, 5L, 1L, 5L, 1L, 4L, 4L, 5L, 4L, 4L, 2L,      2L, 3L, 5L, 2L), remaining_lease_mths = c(1139, 1136, 1135,      1144, 1143, 1137, 1144, 1137, 1138, 1146, 1140, 1141, 1143,      1140, 1130, 1130, 806, 827, 1144, 1146), PROX_CBD = c(16.0085061296439,      15.9500375777464, 15.9297907572658, 15.9392575628934, 16.0475930141239,      16.0475930141239, 16.0903666266177, 16.0903666266177, 16.0903666266177,      15.87024444961, 16.1831859860721, 15.719551353229, 16.1537572283104,      16.055983361932, 16.055983361932, 16.1976566517324, 15.5926635355646,      15.6029325535915, 15.9533618390172, 16.0046521285213), PROX_ELDERLYCARE = c(0.133825008100465,      0.0923316964070077, 0.0463608633689567, 0.0436662178849567,      0.129564145964732, 0.129564145964732, 0.179967723198436,      0.179967723198436, 0.179967723198436, 0.10693627682917, 0.0701319802482612,      0.251997184681221, 0.0462823216560119, 0.146417557277997,      0.146417557277997, 9.89208662673193e-07, 0.348154483747206,      0.338118814836049, 0.251148223850536, 0.20718686492254),          PROX_HAWKER = c(0.86073340068049, 0.798502368740115,          0.768716574287481, 0.765854363537175, 0.872301448799324,          0.872301448799324, 0.9143232220583, 0.9143232220583,          0.9143232220583, 0.694651515851724, 1.00994702859189,          0.543607139892928, 0.986028325459381, 0.897672222950446,          0.897672222950446, 1.03146250928298, 0.438799857473275,          0.432858942767381, 0.802087399746937, 0.855932206484513         ), PROX_MRT = c(1.31406230168452, 1.27956490520873, 1.23034399571509,          1.14464062157712, 1.14436247830993, 1.14436247830993,          1.13213387762555, 1.13213387762555, 1.13213387762555,          1.09555222562317, 1.08237519657155, 1.04322565796881,          1.02112351286352, 0.936151237003446, 0.936151237003446,          1.02706758196582, 1.20427337027458, 1.13678031777592,          0.8851452059773, 0.883219311345816), PROX_PARK = c(0.947603217866828,          0.8970097589344, 0.846978318526899, 0.777956069134633,          0.824988291997923, 0.824988291997923, 0.83568858459355,          0.83568858459355, 0.83568858459355, 0.707790886000148,          0.848434833813522, 0.60075194434184, 0.793519520304926,          0.683762717294504, 0.683762717294504, 0.822565203699192,          0.608584573014238, 0.578149656320062, 0.589052524814441,          0.619767633008914), PROX_GOOD_PRISCH = c(6.67823761190993,          6.61604918176311, 6.58539462985877, 6.57394481891556,          6.67335529701902, 6.67335529701902, 6.70919168347838,          6.70919168347838, 6.70919168347838, 6.49806658702102,          6.78038310261662, 6.34176102939636, 6.74044920052795,          6.63421015362065, 6.63421015362065, 6.78043949525415,          6.25532900137267, 6.24898658848638, 6.52939634907869,          6.57618460349959), PROX_MALL = c(0.528820301792356, 0.517477751202279,          0.478634609766659, 0.391567182053879, 0.339403259296736,          0.339403259296736, 0.311149009276151, 0.311149009276151,          0.311149009276151, 0.388975340293238, 0.241735562355662,          0.460595397283409, 0.180580587241737, 0.118546137622893,          0.118546137622893, 0.189710317758296, 0.657431321444681,          0.60644342729779, 0.161178852361569, 0.110811660449771         ), PROX_CHAS = c(0.104680199868824, 0.0505118784777886,          4.95402698497433e-08, 0.0895372628546906, 0.16574506375663,          0.16574506375663, 0.215238065300109, 0.215238065300109,          0.215238065300109, 0.140210421841136, 0.148113838308576,          0.269388612247007, 0.0922372285822684, 0.110329053122027,          0.110329053122027, 0.0868060808909073, 0.337342861051532,          0.336408570757183, 0.165813590617473, 0.114687044901222         ), PROX_SUPERMARKET = c(0.525839072677995, 0.47836894165083,          0.427887094284235, 0.354688671920554, 0.344658205065017,          0.344658205065017, 0.316789996913415, 0.316789996913415,          0.316789996913415, 0.287679129281494, 0.247969406526707,          0.219989756424723, 0.186806037215644, 0.123371553336512,          0.123371553336512, 0.195853508350489, 0.403551045123396,          0.338214025323699, 0.162291812321236, 0.112847248683738         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 0L, 0L,          0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 4L, 5L, 3L, 2L, 2L,          2L, 2L, 2L, 4L, 7L, 5L, 8L, 3L, 3L, 8L, 4L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 9L, 9L, 9L, 8L, 8L,          8L, 8L, 7L, 5L, 7L, 7L, 7L, 7L, 6L, 6L, 8L, 7L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 5L, 5L,          5L, 2L, 4L, 5L, 5L), DNeighbour = c(0, 60.7267162791804,          112.25539305279, 174.920556685249, 192.58334019536, 193.440300893879,          228.016511501353, 228.959886655459, 232.15473773736,          245.622478305328, 351.099118252835, 378.101724205427,          391.80713624434, 411.890281917198, 416.209587569329,          421.384786638195, 426.356443067391, 432.654600302261,          435.269698020395, 452.47999442464)), row.names = c("653",      "912", "654", "517", "28", "440", "919", "161", "249", "582",      "661", "698", "869", "538", "741", "427", "458", "924", "124",      "408"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.964300522353742,      0.880691698861576, 0.723442902221528, 0.670515099409327,      0.66787158530056, 0.556603155852352, 0.553465762479202, 0.542811318543463,      0.497488944367013, 0.158333141999902, 0.0910456821222217,      0.0625996229761343, 0.0293652747797995, 0.0236829910573083,      0.0176148062180743, 0.0125742767154724, 0.00734623403515086,      0.00556878218442321, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       988863409 
R squared (OOB):                  0.1328769 

$Forests[[654]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(362000, 423888, 420000,      390000, 370000, 4e+05, 4e+05, 412000, 367000, 418000, 415000,      310000, 323000, 428000, 416000, 415000, 433000, 420000, 395000,      365000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 93, 105, 104, 92, 92, 92, 92, 92, 92, 92), storey_order = c(1L,      5L, 3L, 2L, 1L, 3L, 2L, 5L, 1L, 5L, 4L, 3L, 2L, 4L, 4L, 5L,      4L, 5L, 2L, 1L), remaining_lease_mths = c(1135, 1136, 1144,      1139, 1146, 1143, 1137, 1144, 1137, 1138, 1141, 827, 806,      1140, 1140, 1144, 1130, 1143, 1146, 1137), PROX_CBD = c(15.9297907572658,      15.9500375777464, 15.9392575628934, 16.0085061296439, 15.87024444961,      16.0475930141239, 16.0475930141239, 16.0903666266177, 16.0903666266177,      16.0903666266177, 15.719551353229, 15.6029325535915, 15.5926635355646,      16.1831859860721, 16.055983361932, 15.9533618390172, 16.055983361932,      16.1537572283104, 16.0046521285213, 16.0046521285213), PROX_ELDERLYCARE = c(0.0463608633689567,      0.0923316964070077, 0.0436662178849567, 0.133825008100465,      0.10693627682917, 0.129564145964732, 0.129564145964732, 0.179967723198436,      0.179967723198436, 0.179967723198436, 0.251997184681221,      0.338118814836049, 0.348154483747206, 0.0701319802482612,      0.146417557277997, 0.251148223850536, 0.146417557277997,      0.0462823216560119, 0.20718686492254, 0.20718686492254),          PROX_HAWKER = c(0.768716574287481, 0.798502368740115,          0.765854363537175, 0.86073340068049, 0.694651515851724,          0.872301448799324, 0.872301448799324, 0.9143232220583,          0.9143232220583, 0.9143232220583, 0.543607139892928,          0.432858942767381, 0.438799857473275, 1.00994702859189,          0.897672222950446, 0.802087399746937, 0.897672222950446,          0.986028325459381, 0.855932206484513, 0.855932206484513         ), PROX_MRT = c(1.23034399571509, 1.27956490520873, 1.14464062157712,          1.31406230168452, 1.09555222562317, 1.14436247830993,          1.14436247830993, 1.13213387762555, 1.13213387762555,          1.13213387762555, 1.04322565796881, 1.13678031777592,          1.20427337027458, 1.08237519657155, 0.936151237003446,          0.8851452059773, 0.936151237003446, 1.02112351286352,          0.883219311345816, 0.883219311345816), PROX_PARK = c(0.846978318526899,          0.8970097589344, 0.777956069134633, 0.947603217866828,          0.707790886000148, 0.824988291997923, 0.824988291997923,          0.83568858459355, 0.83568858459355, 0.83568858459355,          0.60075194434184, 0.578149656320062, 0.608584573014238,          0.848434833813522, 0.683762717294504, 0.589052524814441,          0.683762717294504, 0.793519520304926, 0.619767633008914,          0.619767633008914), PROX_GOOD_PRISCH = c(6.58539462985877,          6.61604918176311, 6.57394481891556, 6.67823761190993,          6.49806658702102, 6.67335529701902, 6.67335529701902,          6.70919168347838, 6.70919168347838, 6.70919168347838,          6.34176102939636, 6.24898658848638, 6.25532900137267,          6.78038310261662, 6.63421015362065, 6.52939634907869,          6.63421015362065, 6.74044920052795, 6.57618460349959,          6.57618460349959), PROX_MALL = c(0.478634609766659, 0.517477751202279,          0.391567182053879, 0.528820301792356, 0.388975340293238,          0.339403259296736, 0.339403259296736, 0.311149009276151,          0.311149009276151, 0.311149009276151, 0.460595397283409,          0.60644342729779, 0.657431321444681, 0.241735562355662,          0.118546137622893, 0.161178852361569, 0.118546137622893,          0.180580587241737, 0.110811660449771, 0.110811660449771         ), PROX_CHAS = c(4.95402698497433e-08, 0.0505118784777886,          0.0895372628546906, 0.104680199868824, 0.140210421841136,          0.16574506375663, 0.16574506375663, 0.215238065300109,          0.215238065300109, 0.215238065300109, 0.269388612247007,          0.336408570757183, 0.337342861051532, 0.148113838308576,          0.110329053122027, 0.165813590617473, 0.110329053122027,          0.0922372285822684, 0.114687044901222, 0.114687044901222         ), PROX_SUPERMARKET = c(0.427887094284235, 0.47836894165083,          0.354688671920554, 0.525839072677995, 0.287679129281494,          0.344658205065017, 0.344658205065017, 0.316789996913415,          0.316789996913415, 0.316789996913415, 0.219989756424723,          0.338214025323699, 0.403551045123396, 0.247969406526707,          0.123371553336512, 0.162291812321236, 0.123371553336512,          0.186806037215644, 0.112847248683738, 0.112847248683738         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 1L, 0L,          0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 3L, 2L, 4L, 2L,          2L, 2L, 2L, 2L, 5L, 4L, 4L, 7L, 3L, 3L, 3L, 8L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 7L, 9L, 7L, 8L, 9L, 9L, 8L,          8L, 8L, 5L, 6L, 6L, 7L, 7L, 8L, 7L, 7L, 7L, 7L), WITHIN_1KM_PRISCH = c(3L,          3L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 2L, 4L, 5L,          5L, 5L, 4L, 5L, 5L), DNeighbour = c(0, 58.9361630338155,          85.0261541605985, 112.25539305279, 137.300441666545,          164.914912545313, 166.009329783704, 211.166996033298,          212.630885481946, 213.668289157164, 266.495114743972,          332.684079811953, 337.386559932836, 339.128946855362,          353.810976576152, 354.392967583709, 358.472872842832,          362.778459550342, 381.407981178853, 383.550193871251)), row.names = c("654",      "912", "517", "653", "582", "28", "440", "919", "161", "249",      "698", "924", "458", "661", "538", "124", "741", "869", "408",      "594"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.953334956767139,      0.904129251052724, 0.836020540392671, 0.760132278124413,      0.664430668942374, 0.660423242197203, 0.48564846771237, 0.479788467908478,      0.475632910283592, 0.267533983432438, 0.061330780801872,      0.0511806131045566, 0.0476193765141018, 0.0222193203053846,      0.0213919026395618, 0.0159995683111246, 0.0111049580697945,      0.000124082841531175, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       960010907 
R squared (OOB):                  0.1909019 

$Forests[[655]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 455000, 510000,      550000, 498000, 520000, 455000, 375000, 365000, 589000, 550000,      432000, 532000, 374000, 535000, 370000, 545000, 490000, 412000,      356888), floor_area_sqm = c(90, 92, 97, 98, 93, 93, 93, 90,      90, 96, 95, 93, 96, 94, 93, 90, 93, 95, 90, 91), storey_order = c(1L,      4L, 2L, 4L, 2L, 4L, 5L, 4L, 3L, 6L, 4L, 5L, 4L, 3L, 4L, 3L,      5L, 2L, 3L, 5L), remaining_lease_mths = c(997, 1133, 1104,      1103, 1102, 1118, 1138, 986, 979, 1111, 1115, 1129, 1111,      987, 1118, 997, 1127, 1111, 1034, 963), PROX_CBD = c(13.4480864429089,      13.5263069451707, 13.7787547800329, 13.7784857598507, 13.8269911518463,      13.7912064237251, 13.5153222954464, 13.5741440973944, 13.6373310118807,      13.8838492138892, 13.9206851659757, 13.4495242740615, 13.8842234613226,      13.4804039164095, 13.8964286142315, 13.5299248791723, 13.8964286142315,      13.7780295697528, 13.9701294998534, 13.1584578321731), PROX_ELDERLYCARE = c(0.38095926022983,      0.13293861465481, 0.357313426679343, 0.303554199654945, 0.272443342502121,      0.194902312085005, 0.128038783583345, 0.759293685927778,      0.753498484846986, 0.321249151015697, 0.410984632703067,      0.226392675254826, 0.284905700992106, 0.746393599063579,      0.28821019895416, 0.737190256849548, 0.28821019895416, 0.24280876806526,      0.798789790509628, 0.528614390300154), PROX_HAWKER = c(1.11021170000921,      1.0232116664491, 0.779750574682814, 0.771130061467184, 0.718894335359525,      0.761066408094757, 1.06471945671836, 1.13978469441664, 1.08343538740726,      0.661984274687099, 0.63246529422046, 1.13086059974118, 0.667389882084889,      1.28815813567136, 0.700607063348248, 1.28441999759135, 0.700607063348248,      0.855348356505915, 0.796241674024292, 1.59466084315792),          PROX_MRT = c(0.436627689790507, 0.529059791722705, 0.373119808041594,          0.334453451125385, 0.250191496834268, 0.263976344610204,          0.531733722241289, 0.147719870982538, 0.0904459633140829,          0.202599849124069, 0.247793554682504, 0.537207200764636,          0.172676244118343, 0.26513727845816, 0.214342865325431,          0.189597864599581, 0.214342865325431, 0.290902656750774,          0.262922949537813, 0.258879114766752), PROX_PARK = c(0.782217598170287,          1.00320858387115, 1.07510958061046, 1.07038952907209,          1.00953333913803, 1.03946212768551, 1.12627074536918,          0.739375101722708, 0.802899104641211, 0.953674473627188,          0.9355470513087, 1.14705623529365, 0.946790994443363,          0.640650351334918, 0.945155408432775, 0.695004999747215,          0.945155408432775, 1.08412864631293, 0.929619749314005,          0.332476768251147), PROX_GOOD_PRISCH = c(4.1394886986689,          4.12550653324601, 4.43794264479214, 4.41640053984819,          4.43409233459216, 4.37243865161908, 4.05859518452173,          4.41976113712118, 4.47444600576345, 4.48950135049007,          4.55661004860153, 3.97306691053722, 4.46427355245829,          4.38951064564596, 4.42474408393319, 4.45977917937361,          4.42474408393319, 4.27934963146811, 4.76155598853922,          4.13557899544262), PROX_MALL = c(0.747053206605742, 0.734460127270614,          0.579723774298741, 0.546157830895501, 0.464449368072494,          0.47180896375681, 0.741140095950697, 0.656440732478167,          0.719665126414215, 0.415387276861254, 0.441605558767423,          0.817008429043632, 0.384398044205003, 0.548104683226502,          0.36232957329041, 0.598877544697789, 0.36232957329041,          0.507308338763366, 0.698652085628877, 0.231810009894563         ), PROX_CHAS = c(0.419877338676521, 0.164485608616764,          0.2330532561781, 0.171232412843018, 0.093713435160417,          3.14247486029477e-08, 0.0484693686848179, 0.175269995719201,          0.111923036871509, 0.130388475133542, 0.230184731543739,          0.142936854782623, 0.0936868185767241, 0.196586841411628,          0.190952462752685, 0.124645472322039, 0.190952462752685,          0.246000912873009, 0.224338502615803, 0.20604200841638         ), PROX_SUPERMARKET = c(0.428569074432488, 0.265115106421715,          0.233052713938452, 0.171231859107883, 0.0937132175773042,          8.52808058992138e-07, 0.321659607097496, 0.3594639622224,          0.371011221099329, 0.130388583033251, 0.23018467784701,          0.417643104955167, 0.093687407280864, 0.253358431108118,          0.190953240917096, 0.181636181040517, 0.190953240917096,          0.271122867675942, 0.281017798180362, 0.231809873410795         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 1L, 1L,          0L, 2L, 2L, 1L, 1L, 0L, 1L, 3L, 1L, 4L, 1L, 1L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 4L, 5L, 5L, 4L,          4L, 6L, 6L, 3L, 4L, 3L, 3L, 5L, 4L, 5L, 4L, 4L, 7L, 6L         ), WITHIN_350M_BUS = c(4L, 2L, 11L, 7L, 8L, 8L, 6L, 10L,          11L, 9L, 13L, 5L, 7L, 9L, 9L, 8L, 9L, 9L, 13L, 7L), WITHIN_1KM_PRISCH = c(7L,          6L, 8L, 6L, 5L, 5L, 5L, 9L, 8L, 5L, 5L, 4L, 5L, 5L, 5L,          6L, 5L, 6L, 8L, 7L), DNeighbour = c(0, 252.621624297862,          328.948336299224, 340.676912283711, 417.909138274602,          420.779628720066, 420.930811292657, 437.012370037802,          452.954455121268, 465.097840324148, 477.854737560916,          482.582377203939, 497.580400720093, 543.563369635704,          607.135395613935, 609.307388687533, 611.306223460555,          615.028756839248, 643.718696110287, 670.622783547356)), row.names = c("655",      "779", "549", "837", "376", "420", "183", "15", "660", "723",      "516", "988", "670", "72", "760", "165", "442", "282", "301",      "339"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.736334464333166,      0.576685703142666, 0.550467818085182, 0.374133423356946,      0.367613552108842, 0.367270521999994, 0.331027932817364,      0.295721659006436, 0.269375989439892, 0.242327037503786,      0.232488941788844, 0.202035891909411, 0.117671430007, 0.0325356166201674,      0.030450778269238, 0.0285868727318543, 0.0252574554716226,      0.00618215292777574, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1387084702 
R squared (OOB):                  0.757027 

$Forests[[656]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 4e+05, 365000,      385000, 408000, 425000, 468000, 422500, 420000, 425000, 405000,      415000, 415000, 440000, 415000, 428888, 362500, 395000, 412000,      415000), floor_area_sqm = c(106, 107, 84, 84, 105, 104, 106,      104, 106, 104, 106, 108, 103, 104, 84, 84, 103, 103, 104,      108), storey_order = c(2L, 1L, 4L, 2L, 1L, 2L, 5L, 3L, 3L,      4L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 2L, 3L), remaining_lease_mths = c(919,      912, 787, 815, 797, 801, 863, 765, 874, 775, 778, 891, 768,      752, 782, 774, 819, 772, 878, 904), PROX_CBD = c(13.6245617307962,      13.6047453762483, 13.5012180894848, 13.8115996810708, 13.8987191813532,      13.9224032790502, 13.629257933267, 13.4875816574924, 13.629257933267,      13.5598735525989, 13.2146489403719, 13.8459786715751, 13.0537205387581,      13.1913836000948, 12.8776183162857, 12.8776183162857, 14.3801998083441,      13.1724132817366, 14.1313829663274, 13.7944980809676), PROX_ELDERLYCARE = c(0.120631950903102,      0.271914041498034, 0.126566715598502, 0.244605555667631,      0.166628987045545, 0.160860892679658, 0.207468408301612,      0.428841001075194, 0.207468408301612, 0.555470204987842,      0.392334185262972, 0.429452782693922, 0.569472877275307,      0.779182108791446, 0.211786543917104, 0.211786543917104,      0.709377020411434, 0.906244923447749, 0.836104821253693,      0.91518434198946), PROX_HAWKER = c(1.48009929412898, 1.50728197565297,      1.32455892398921, 1.71143518366979, 1.60647998640073, 1.57003684649171,      1.4012681206183, 1.41347495302278, 1.4012681206183, 1.44869421276883,      1.1504484389926, 1.71981564227335, 0.963287544217337, 1.05769292681279,      0.677647820815747, 0.677647820815747, 0.928921275219278,      1.03184370064912, 0.73352935155883, 1.66782294138278), PROX_MRT = c(0.357520644011877,      0.222008379422339, 0.54422435083218, 0.198072339225813, 0.337555536848429,      0.375491068655226, 0.681065013996815, 0.229256973107587,      0.681065013996815, 0.172867375742438, 0.530339592860526,      0.2084775132707, 0.551410176707671, 0.577154139562059, 0.301948361527339,      0.301948361527339, 1.02650412956774, 0.712767869041386, 0.735653331318593,      0.658832763416297), PROX_PARK = c(0.731000545087102, 0.882483872449952,      0.593866981909781, 0.925135888784, 0.83983547285748, 0.819174175884815,      0.403276931712581, 1.00267286051928, 0.403276931712581, 1.16233583500127,      0.763919329225246, 1.1446906726086, 0.974634241933185, 1.12092772213378,      0.246982674114576, 0.246982674114576, 0.71485218383349, 0.94305137750942,      0.463826523913091, 0.645156432286565), PROX_GOOD_PRISCH = c(1.96554365084008,      1.96272742295518, 1.8351788996921, 2.17137072991142, 2.24487256678893,      2.26578798898653, 1.96779323327463, 1.87202126825599, 1.96779323327463,      1.97663004084467, 1.57814209766337, 2.27101821651052, 1.48818847749708,      1.6842887316892, 1.22334421357001, 1.22334421357001, 2.72778429145315,      1.76071721252525, 2.52734391167264, 2.39271928635374), PROX_MALL = c(1.05956757611768,      1.0427530371351, 0.956400108312903, 1.25122768833936, 1.33259876169033,      1.34118728457461, 1.12429495075828, 0.948424723316687, 1.12429495075828,      1.05810160080284, 0.655287065425073, 1.35153556565047, 0.593340478429386,      0.813382909306435, 0.503182159926002, 0.503182159926002,      0.949257633150117, 0.808064657998832, 0.66282583229379, 1.14990641994387     ), PROX_CHAS = c(2.17172157220984e-06, 0.15212794302602,      0.0648495538885981, 0.130123043615932, 0.0582471476749484,      0.0806372798138111, 0.260044927245007, 0.231037598077535,      0.260044927245007, 0.180657994610612, 0.358071114142678,      0.345234103044859, 0.203693673714882, 0.19044114280624, 0.128785172156574,      0.128785172156574, 0.453083161817035, 0.253073540027742,      0.528800676490504, 0.17469359838053), PROX_SUPERMARKET = c(0.237807435452358,      0.353624023725788, 0.329742543966106, 0.30366394922488, 0.2065347950197,      0.189550835904173, 0.288903462518554, 0.231037826802092,      0.288903462518554, 0.180658044884504, 0.384538867225359,      0.426625283183798, 0.349948262987797, 0.190441743522314,      0.17067511852319, 0.17067511852319, 0.513065398645433, 0.263318229535236,      0.528799775767506, 0.357404112790227), WITHIN_350M_KINDERGARTEN = c(3L,      0L, 1L, 0L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 1L, 2L, 3L, 0L, 0L,      0L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(5L, 6L, 5L, 3L,      3L, 3L, 6L, 2L, 6L, 3L, 3L, 3L, 2L, 4L, 1L, 1L, 3L, 3L, 3L,      3L), WITHIN_350M_BUS = c(10L, 12L, 7L, 10L, 9L, 9L, 6L, 10L,      6L, 11L, 9L, 12L, 8L, 8L, 12L, 12L, 2L, 6L, 6L, 7L), WITHIN_1KM_PRISCH = c(4L,      5L, 4L, 5L, 4L, 3L, 2L, 5L, 2L, 6L, 6L, 5L, 6L, 5L, 4L, 4L,      3L, 4L, 2L, 4L), DNeighbour = c(0, 158.41458435492, 198.019468562461,      262.771499086138, 277.532956584833, 301.059031689585, 325.561296871061,      326.174083571733, 327.682137501141, 440.328072692601, 443.754401733303,      559.589378127571, 705.244063281243, 742.030145072354, 829.558362450607,      829.584140625816, 892.239380029216, 931.145769134336, 933.055536133572,      1016.09201769494)), row.names = c("656", "955", "264", "235",      "531", "219", "415", "663", "503", "564", "511", "970", "541",      "229", "259", "892", "3", "225", "695", "542"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.951977607412911, 0.925483365173085, 0.870714608838205,      0.856357460525275, 0.832129963384983, 0.805219839004783,      0.804525761193088, 0.802813374874353, 0.659675104526603,      0.654917748108676, 0.485390466593114, 0.268593323640742,      0.217802660582298, 0.111193939123049, 0.111166313418853,      0.0524065962114918, 0.0256681298102425, 0.0245750920784601,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       685775512 
R squared (OOB):                  -0.08284583 

$Forests[[657]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(655000, 640000, 663000,      655000, 676000, 380000, 4e+05, 4e+05, 385000, 350888, 360000,      340000, 398000, 390000, 380000, 418000, 4e+05, 410000, 418000,      352000), floor_area_sqm = c(87, 87, 87, 87, 87, 93, 98, 104,      91, 93, 83, 92, 92, 92, 92, 92, 92, 103, 91, 84), storey_order = c(1L,      4L, 4L, 5L, 3L, 3L, 4L, 2L, 1L, 3L, 3L, 1L, 3L, 1L, 4L, 4L,      4L, 2L, 5L, 2L), remaining_lease_mths = c(1123, 1121, 1124,      1121, 1120, 724, 718, 751, 715, 712, 803, 699, 714, 711,      695, 691, 690, 799, 774, 800), PROX_CBD = c(9.39818328429371,      9.42381765287156, 9.49727834386093, 9.49727834386093, 9.49727834386093,      9.50206510185676, 9.5915755681771, 9.83498872427818, 8.8262745849674,      9.68679892421183, 8.52567265657093, 9.97016469840266, 9.95525560808738,      9.71066487891121, 9.61422948612377, 9.61422948612377, 9.59976569988281,      8.31972436488376, 9.35032791665702, 8.28689365911172), PROX_ELDERLYCARE = c(0.718190414835305,      0.750155484045513, 0.735218745429302, 0.735218745429302,      0.735218745429302, 0.619429799229152, 0.558000418748021,      0.611336059876525, 0.896855030989675, 0.35495808488012, 1.23693676843424,      0.14040561650552, 0.150508443509651, 0.385358274245319, 0.28812103687201,      0.28812103687201, 0.239547661796275, 1.3912791419992, 0.227789996497476,      1.3668692597991), PROX_HAWKER = c(0.640059738279374, 0.667492197519696,      0.639074974233661, 0.639074974233661, 0.639074974233661,      0.518318645141504, 0.434568479089541, 0.54583502916026, 0.311054993693233,      0.221606053969191, 0.0724679807682574, 0.15909114400288,      0.153089379504462, 0.39402887106119, 0.398658919868918, 0.398658919868918,      0.436761476721694, 0.252588085280054, 0.508896406641727,      0.269406334629514), PROX_MRT = c(0.401734036242065, 0.423547456258288,      0.499971219475903, 0.499971219475903, 0.499971219475903,      0.533910829474844, 0.656590823238566, 0.722241727367494,      0.17731989795878, 0.760373725070279, 0.510058766918036, 0.494111782173202,      0.521845664201362, 0.746020760246364, 0.667432439829923,      0.667432439829923, 0.619962862184004, 0.44379796826936, 0.569946398217962,      0.467794692056616), PROX_PARK = c(0.220484561261844, 0.258916726718906,      0.298527066745392, 0.298527066745392, 0.298527066745392,      0.26219477257436, 0.355705093322714, 0.296755194228525, 0.458605630557841,      0.664893225436512, 0.557643312318536, 0.68588072489708, 0.730503149795042,      0.914740437498633, 0.922231693079911, 0.922231693079911,      0.957886982704992, 0.59965919275643, 0.726258134328713, 0.570592214216024     ), PROX_GOOD_PRISCH = c(2.27458198186913, 2.24680049319454,      2.17599822879711, 2.17599822879711, 2.17599822879711, 2.18628235132699,      2.11809049366399, 1.88657748145099, 2.8424495793979, 2.17803171840573,      3.13534109620979, 1.97396491196204, 2.01039924795066, 2.31351362539819,      2.38715383730665, 2.38715383730665, 2.35345437748376, 3.04207330950824,      2.41566392235711, 2.99359805566516), PROX_MALL = c(1.45650167595406,      1.48330987402926, 1.45007786498113, 1.45007786498113, 1.45007786498113,      1.32833110917602, 1.22478662403239, 1.23747152538927, 1.64561868645684,      0.796976758090547, 1.96281231550532, 0.802483711672914, 0.757457219803541,      0.505770857705003, 0.43353114329251, 0.43353114329251, 0.387669919047214,      2.10790194839897, 0.406203001531397, 2.09618768409308), PROX_CHAS = c(0.109789289200213,      0.0719365450960561, 0.101351467161616, 0.101351467161616,      0.101351467161616, 0.219477506246216, 0.346218272658546,      0.352730820744124, 0.221229860630612, 0.0707228333244178,      0.169369143123463, 0.187394625423847, 0.144412947448491,      0.255589678637005, 0.28666502826278, 0.28666502826278, 0.263208245292117,      0.261198443001062, 0.146235674893272, 0.229330661012247),          PROX_SUPERMARKET = c(0.13637298984998, 0.100679215951394,          0.0715849245259307, 0.0715849245259307, 0.0715849245259307,          0.191210069763785, 0.300584979098838, 0.324694852199881,          0.221249484047241, 0.128382981112681, 0.169391527985645,          0.215556112381702, 0.204623167766534, 0.363062686357781,          0.396736556610776, 0.396736556610776, 0.44091986097032,          0.272257424647181, 0.347306649978202, 0.266710264104055         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 6L, 6L, 6L,          5L, 1L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 4L, 3L, 5L, 2L         ), WITHIN_350M_BUS = c(6L, 5L, 4L, 4L, 4L, 2L, 5L, 3L,          5L, 10L, 8L, 9L, 9L, 13L, 11L, 11L, 11L, 9L, 9L, 7L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L,          2L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 3L, 1L, 3L, 1L), DNeighbour = c(0,          30.9464010011435, 92.0956647239554, 95.8531918435321,          103.923936384716, 166.381833536545, 298.709541348829,          507.734624095666, 573.106953912377, 723.306095568313,          907.255190563453, 945.599506437528, 964.161403049776,          1003.8483118451, 1034.79320562681, 1037.12830438996,          1076.68639330199, 1113.99786096038, 1130.33788927235,          1143.30421734816)), row.names = c("657", "9", "466",      "731", "593", "539", "746", "659", "814", "946", "404", "211",      "971", "776", "603", "499", "964", "540", "37", "266"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998535236328774, 0.987064790289736, 0.985991535280505,      0.98354341632812, 0.958092196768289, 0.868136998014318, 0.644456460922328,      0.560590456810042, 0.359711892571088, 0.137120351675501,      0.0998214012093346, 0.0834204561855613, 0.0524749932896698,      0.0326930174169718, 0.0313682353715296, 0.012800765435423,      0.0025612725451165, 0.000508663994132769, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4091211183 
R squared (OOB):                  0.7295753 

$Forests[[658]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(368000, 375000, 435000,      323000, 360000, 280000, 310000, 319000, 335000, 380000, 333000,      305000, 420000, 410000, 432000, 310500, 323000, 371000, 415000,      305000), floor_area_sqm = c(106, 102, 92, 91, 99, 90, 89,      101, 100, 105, 99, 99, 92, 92, 92, 92, 101, 100, 92, 91),          storey_order = c(3L, 3L, 4L, 2L, 3L, 3L, 1L, 4L, 4L,          2L, 3L, 4L, 1L, 2L, 4L, 4L, 1L, 2L, 2L, 4L), remaining_lease_mths = c(952,          932, 1118, 974, 915, 958, 946, 950, 927, 910, 927, 930,          1121, 1136, 1123, 932, 937, 918, 1125, 932), PROX_CBD = c(17.1751323002447,          17.424297644009, 17.3261487576713, 16.9744532057656,          17.6482187406162, 17.0860498579873, 17.0860498579873,          17.1356331652512, 17.5934100264964, 17.589085398281,          17.6933534103443, 17.5508688704121, 17.7152334804069,          17.7152334804069, 17.7152334804069, 17.1621565450396,          17.4093430047218, 17.9318121245061, 17.7609329148819,          17.1300558853523), PROX_ELDERLYCARE = c(0.268202380119324,          0.332680427012888, 0.0820501598186151, 0.669866762803474,          0.399377154365588, 0.634635376150565, 0.634635376150565,          0.585213362825854, 0.183364759720919, 0.387351173411546,          0.174626049595048, 0.169110695114153, 0.0982899037000713,          0.0982899037000713, 0.0982899037000713, 0.588822776266157,          0.347622879353981, 0.559180828327224, 0.0656405943898966,          0.650159488421832), PROX_HAWKER = c(1.37649043343687,          1.2762396177499, 1.11394087375576, 1.16076193719705,          1.11261554439583, 0.984075399620173, 0.984075399620173,          0.905166107754752, 0.860123145519879, 0.776912813652288,          0.89059259132002, 0.736171211400498, 0.815736811633103,          0.815736811633103, 0.815736811633103, 0.776103543372746,          0.646263997619536, 1.18812307179958, 0.769612072642938,          0.747949107581356), PROX_MRT = c(0.477350523334022, 0.484502150769697,          0.527347528775627, 0.434229027914827, 0.417091391951799,          0.610921595420819, 0.610921595420819, 0.689848925621533,          0.675234243169572, 0.371614593402704, 0.606842528225389,          0.804998329325227, 0.674833365376197, 0.674833365376197,          0.674833365376197, 0.827901946736494, 0.722831181419355,          0.256828620430729, 0.714624513867521, 0.826263947198081         ), PROX_PARK = c(1.53652128691969, 1.39102562335911,          1.2769930066147, 1.94357933186421, 1.38656874841243,          1.98249707589613, 1.98249707589613, 2.00545012030434,          1.60355051242194, 0.925923962472294, 1.49905344652453,          1.71737354643835, 1.52614967260321, 1.52614967260321,          1.52614967260321, 2.12305734030611, 1.92330050908574,          1.11695175135574, 1.52091098886828, 2.21165427538899),          PROX_GOOD_PRISCH = c(7.92485948387043, 8.1609833985331,          8.12402124316527, 7.64555391975429, 8.34983568407236,          7.72567604662297, 7.72567604662297, 7.76178719780886,          8.24279341902993, 8.43639308613493, 8.34857469941546,          8.17476856172454, 8.35538963357137, 8.35538963357137,          8.35538963357137, 7.75790588282746, 8.00696366683488,          8.65275846320069, 8.39120163011403, 7.71077701272798),          PROX_MALL = c(0.221509518429623, 0.394560370801339, 0.48073822857487,          0.199292924769147, 0.439097430243665, 0.314944256820634,          0.314944256820634, 0.382407895591973, 0.188384425612312,          0.232188905247248, 0.223321337745784, 0.109574351562212,          0.158599011552442, 0.158599011552442, 0.158599011552442,          0.509108711773916, 0.265229996889848, 0.417130987397582,          0.147411017927622, 0.568151229694078), PROX_CHAS = c(0.166686655025282,          0.265229996652697, 0.111581872390774, 0.199292963025488,          0.414359256629807, 0.250499161266826, 0.250499161266826,          0.257714074421561, 0.151781240761386, 0.0713809516165408,          0.21485891447712, 0.048268048492383, 0.158598978424062,          0.158598978424062, 0.158598978424062, 0.242301342816858,          0.23105278557526, 0.259891808560044, 0.14741100268466,          0.159798231789153), PROX_SUPERMARKET = c(0.166252253534119,          0.265230176390619, 0.111582815761828, 0.25551504160041,          0.441697647833666, 0.250499698074938, 0.250499698074938,          0.257714572429151, 0.209139790637019, 0.238177195426237,          0.218378438252518, 0.15801430638391, 0.144345834884574,          0.144345834884574, 0.144345834884574, 0.263452146302603,          0.313773352526138, 0.438907970807184, 0.113022549454425,          0.260386915772359), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L,          0L, 1L, 1L, 2L, 0L), WITHIN_350M_CHILDCARE = c(4L, 2L,          3L, 6L, 3L, 6L, 6L, 5L, 6L, 2L, 5L, 7L, 6L, 6L, 6L, 5L,          7L, 3L, 8L, 5L), WITHIN_350M_BUS = c(10L, 9L, 8L, 13L,          9L, 11L, 11L, 11L, 12L, 8L, 13L, 12L, 12L, 12L, 12L,          11L, 13L, 9L, 10L, 13L), WITHIN_1KM_PRISCH = c(5L, 5L,          5L, 4L, 7L, 4L, 4L, 4L, 8L, 5L, 8L, 6L, 7L, 7L, 7L, 4L,          5L, 7L, 6L, 4L), DNeighbour = c(0, 250.870259163358,          266.672780881852, 424.825453766113, 492.969399652491,          513.617814913444, 518.936923280756, 575.770640009633,          590.927093406088, 614.779359205319, 636.942283320052,          665.573744956141, 696.777332407109, 703.117125662914,          704.928486510486, 730.046575323795, 737.424765194598,          754.553911118058, 770.152508709919, 806.888330314206)), row.names = c("658",      "736", "372", "902", "891", "704", "685", "99", "419", "464",      "112", "438", "289", "13", "298", "190", "174", "976", "365",      "170"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.816013224407185,      0.793476311253763, 0.522438949601237, 0.392801300508584,      0.353804962528155, 0.34384067120864, 0.240903322949056, 0.214979738817978,      0.175969637983091, 0.142036802926421, 0.102142968431025,      0.0646710964219154, 0.057923795521436, 0.0560535249884956,      0.0329042321398485, 0.0271475791889404, 0.0157533502052604,      0.00791792997669106, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       833854312 
R squared (OOB):                  0.6358525 

$Forests[[659]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 4e+05, 380000,      676000, 655000, 663000, 350888, 640000, 655000, 340000, 398000,      390000, 380000, 418000, 4e+05, 418000, 385000, 462000, 562000,      350000), floor_area_sqm = c(104, 98, 93, 87, 87, 87, 93,      87, 87, 92, 92, 92, 92, 92, 92, 91, 91, 105, 107, 91), storey_order = c(2L,      4L, 3L, 3L, 5L, 4L, 3L, 4L, 1L, 1L, 3L, 1L, 4L, 4L, 4L, 5L,      1L, 1L, 7L, 4L), remaining_lease_mths = c(751, 718, 724,      1120, 1121, 1124, 712, 1121, 1123, 699, 714, 711, 695, 691,      690, 774, 715, 965, 957, 741), PROX_CBD = c(9.83498872427818,      9.5915755681771, 9.50206510185676, 9.49727834386093, 9.49727834386093,      9.49727834386093, 9.68679892421183, 9.42381765287156, 9.39818328429371,      9.97016469840266, 9.95525560808738, 9.71066487891121, 9.61422948612377,      9.61422948612377, 9.59976569988281, 9.35032791665702, 8.8262745849674,      10.9320040827019, 10.9472701195372, 8.70456515841861), PROX_ELDERLYCARE = c(0.611336059876525,      0.558000418748021, 0.619429799229152, 0.735218745429302,      0.735218745429302, 0.735218745429302, 0.35495808488012, 0.750155484045513,      0.718190414835305, 0.14040561650552, 0.150508443509651, 0.385358274245319,      0.28812103687201, 0.28812103687201, 0.239547661796275, 0.227789996497476,      0.896855030989675, 0.83761180429981, 0.867518349265545, 0.1203423949077     ), PROX_HAWKER = c(0.54583502916026, 0.434568479089541, 0.518318645141504,      0.639074974233661, 0.639074974233661, 0.639074974233661,      0.221606053969191, 0.667492197519696, 0.640059738279374,      0.15909114400288, 0.153089379504462, 0.39402887106119, 0.398658919868918,      0.398658919868918, 0.436761476721694, 0.508896406641727,      0.311054993693233, 0.499252912381913, 0.429153921265228,      0.867862446497739), PROX_MRT = c(0.722241727367494, 0.656590823238566,      0.533910829474844, 0.499971219475903, 0.499971219475903,      0.499971219475903, 0.760373725070279, 0.423547456258288,      0.401734036242065, 0.494111782173202, 0.521845664201362,      0.746020760246364, 0.667432439829923, 0.667432439829923,      0.619962862184004, 0.569946398217962, 0.17731989795878, 0.582189406643083,      0.638393210693291, 0.97670571404933), PROX_PARK = c(0.296755194228525,      0.355705093322714, 0.26219477257436, 0.298527066745392, 0.298527066745392,      0.298527066745392, 0.664893225436512, 0.258916726718906,      0.220484561261844, 0.68588072489708, 0.730503149795042, 0.914740437498633,      0.922231693079911, 0.922231693079911, 0.957886982704992,      0.726258134328713, 0.458605630557841, 0.802226928628916,      0.730900012581548, 0.288616932786395), PROX_GOOD_PRISCH = c(1.88657748145099,      2.11809049366399, 2.18628235132699, 2.17599822879711, 2.17599822879711,      2.17599822879711, 2.17803171840573, 2.24680049319454, 2.27458198186913,      1.97396491196204, 2.01039924795066, 2.31351362539819, 2.38715383730665,      2.38715383730665, 2.35345437748376, 2.41566392235711, 2.8424495793979,      1.4460454342776, 1.50789829567152, 2.418607930925), PROX_MALL = c(1.23747152538927,      1.22478662403239, 1.32833110917602, 1.45007786498113, 1.45007786498113,      1.45007786498113, 0.796976758090547, 1.48330987402926, 1.45650167595406,      0.802483711672914, 0.757457219803541, 0.505770857705003,      0.43353114329251, 0.43353114329251, 0.387669919047214, 0.406203001531397,      1.64561868645684, 1.37776203899083, 1.34630282297423, 0.948870628363287     ), PROX_CHAS = c(0.352730820744124, 0.346218272658546, 0.219477506246216,      0.101351467161616, 0.101351467161616, 0.101351467161616,      0.0707228333244178, 0.0719365450960561, 0.109789289200213,      0.187394625423847, 0.144412947448491, 0.255589678637005,      0.28666502826278, 0.28666502826278, 0.263208245292117, 0.146235674893272,      0.221229860630612, 0.293630149165848, 0.344403926608958,      0.27140983829104), PROX_SUPERMARKET = c(0.324694852199881,      0.300584979098838, 0.191210069763785, 0.0715849245259307,      0.0715849245259307, 0.0715849245259307, 0.128382981112681,      0.100679215951394, 0.13637298984998, 0.215556112381702, 0.204623167766534,      0.363062686357781, 0.396736556610776, 0.396736556610776,      0.44091986097032, 0.347306649978202, 0.221249484047241, 0.445162931243089,      0.381194313170787, 0.221415122113844), WITHIN_350M_KINDERGARTEN = c(1L,      2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L,      1L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(1L, 5L, 6L, 6L,      6L, 6L, 3L, 6L, 6L, 3L, 3L, 2L, 3L, 3L, 4L, 5L, 2L, 0L, 0L,      4L), WITHIN_350M_BUS = c(3L, 5L, 2L, 4L, 4L, 4L, 10L, 5L,      6L, 9L, 9L, 13L, 11L, 11L, 11L, 9L, 5L, 0L, 2L, 9L), WITHIN_1KM_PRISCH = c(3L,      2L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 3L, 3L,      2L, 4L, 4L, 2L), DNeighbour = c(0, 253.137579277825, 356.967665924978,      417.673335344181, 425.866590393207, 427.13992179936, 445.701112568462,      499.71993163935, 507.734624095666, 527.082023844153, 557.935673262628,      731.539533694928, 810.57431541303, 815.02733996174, 860.095615447259,      1022.51708577772, 1050.78513455934, 1298.94008155256, 1358.64992308831,      1391.4852120564)), row.names = c("659", "746", "539", "593",      "731", "466", "946", "9", "657", "211", "971", "776", "603",      "499", "964", "37", "814", "671", "255", "71"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.934906211915957, 0.872708499195897, 0.827921211787846,      0.821438201099156, 0.82042167243676, 0.805334016817336, 0.758689404981024,      0.751442104486123, 0.733622067035535, 0.704303228700245,      0.523615037086015, 0.436478418249818, 0.43155243577514, 0.381844727445947,      0.211611214063023, 0.184679017969201, 0.0165361589397968,      0.00217508069314273, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3150945942 
R squared (OOB):                  0.7905765 

$Forests[[660]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 375000, 374000,      370000, 412000, 395000, 510000, 356888, 550000, 450000, 550000,      345000, 435000, 460000, 498000, 589000, 450000, 398000, 415000,      437000), floor_area_sqm = c(90, 90, 94, 90, 90, 90, 97, 91,      98, 94, 95, 85, 94, 92, 93, 96, 95, 93, 93, 94), storey_order = c(3L,      4L, 3L, 3L, 3L, 1L, 2L, 5L, 4L, 4L, 4L, 6L, 2L, 3L, 2L, 6L,      3L, 1L, 2L, 3L), remaining_lease_mths = c(979, 986, 987,      997, 1034, 997, 1104, 963, 1103, 1123, 1115, 968, 1113, 1107,      1102, 1111, 1126, 1077, 1071, 1120), PROX_CBD = c(13.6373310118807,      13.5741440973944, 13.4804039164095, 13.5299248791723, 13.9701294998534,      13.4480864429089, 13.7787547800329, 13.1584578321731, 13.7784857598507,      14.0429369190019, 13.9206851659757, 13.131637538161, 14.0214886887106,      14.2518409016409, 13.8269911518463, 13.8838492138892, 14.1366846915735,      14.2040057462849, 14.2040057462849, 14.0691382395842), PROX_ELDERLYCARE = c(0.753498484846986,      0.759293685927778, 0.746393599063579, 0.737190256849548,      0.798789790509628, 0.38095926022983, 0.357313426679343, 0.528614390300154,      0.303554199654945, 1.1015647640471, 0.410984632703067, 0.425459762987539,      1.04333655871926, 0.985840321219444, 0.272443342502121, 0.321249151015697,      1.17371591683522, 0.732225931930739, 0.732225931930739, 1.08280856328681     ), PROX_HAWKER = c(1.08343538740726, 1.13978469441664, 1.28815813567136,      1.28441999759135, 0.796241674024292, 1.11021170000921, 0.779750574682814,      1.59466084315792, 0.771130061467184, 1.07710025413616, 0.63246529422046,      1.67102672130552, 1.2014358291776, 0.656651462258042, 0.718894335359525,      0.661984274687099, 1.09084844555913, 0.429643877236979, 0.429643877236979,      1.21079813450924), PROX_MRT = c(0.0904459633140829, 0.147719870982538,      0.26513727845816, 0.189597864599581, 0.262922949537813, 0.436627689790507,      0.373119808041594, 0.258879114766752, 0.334453451125385,      0.324573358240557, 0.247793554682504, 0.197259382412543,      0.325652198483679, 0.189142279194464, 0.250191496834268,      0.202599849124069, 0.218319465176875, 0.339881548667158,      0.339881548667158, 0.281224364060027), PROX_PARK = c(0.802899104641211,      0.739375101722708, 0.640650351334918, 0.695004999747215,      0.929619749314005, 0.782217598170287, 1.07510958061046, 0.332476768251147,      1.07038952907209, 0.58019258504408, 0.9355470513087, 0.350705699368152,      0.524931496780237, 0.785709089572823, 1.00953333913803, 0.953674473627188,      0.474063272255088, 0.735378016798131, 0.735378016798131,      0.468913262301943), PROX_GOOD_PRISCH = c(4.47444600576345,      4.41976113712118, 4.38951064564596, 4.45977917937361, 4.76155598853922,      4.1394886986689, 4.43794264479214, 4.13557899544262, 4.41640053984819,      4.9857651679507, 4.55661004860153, 4.16094245740848, 5.02043421457898,      5.03443000866885, 4.43409233459216, 4.48950135049007, 5.09375212835948,      4.87692111553996, 4.87692111553996, 5.07622831499557), PROX_MALL = c(0.719665126414215,      0.656440732478167, 0.548104683226502, 0.598877544697789,      0.698652085628877, 0.747053206605742, 0.579723774298741,      0.231810009894563, 0.546157830895501, 0.401409437181884,      0.441605558767423, 0.249640338015364, 0.399157770965225,      0.535261743386166, 0.464449368072494, 0.415387276861254,      0.295276560881227, 0.458083927679449, 0.458083927679449,      0.352184781664103), PROX_CHAS = c(0.111923036871509, 0.175269995719201,      0.196586841411628, 0.124645472322039, 0.224338502615803,      0.419877338676521, 0.2330532561781, 0.20604200841638, 0.171232412843018,      0.0207330025336023, 0.230184731543739, 0.23569948169583,      0.142774662207743, 0.121511881264649, 0.093713435160417,      0.130388475133542, 0.0995517477546361, 0.0920652608940773,      0.0920652608940773, 0.167321001424632), PROX_SUPERMARKET = c(0.371011221099329,      0.3594639622224, 0.253358431108118, 0.181636181040517, 0.281017798180362,      0.428569074432488, 0.233052713938452, 0.231809873410795,      0.171231859107883, 0.0207321820187816, 0.23018467784701,      0.249639808314143, 0.142773459146917, 0.121511691834874,      0.0937132175773042, 0.130388583033251, 0.0995512052866983,      0.0920659899308881, 0.0920659899308881, 0.167319845962294     ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 3L, 4L, 2L, 0L, 0L,      1L, 0L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(6L,      6L, 5L, 5L, 7L, 5L, 4L, 6L, 5L, 6L, 4L, 5L, 6L, 10L, 5L,      3L, 8L, 5L, 5L, 8L), WITHIN_350M_BUS = c(11L, 10L, 9L, 8L,      13L, 4L, 11L, 7L, 7L, 9L, 13L, 7L, 9L, 9L, 8L, 9L, 8L, 9L,      9L, 9L), WITHIN_1KM_PRISCH = c(8L, 9L, 5L, 6L, 8L, 7L, 8L,      7L, 6L, 7L, 5L, 7L, 7L, 6L, 5L, 5L, 7L, 5L, 5L, 7L), DNeighbour = c(0,      62.8849051660819, 207.390485690675, 225.910086990204, 335.8163348875,      452.954455121268, 459.886502504489, 518.165530338895, 523.160858365806,      531.441891763963, 557.434697985416, 590.386101694331, 606.160608154814,      609.754851331786, 614.647464556782, 629.764665419985, 640.729433531145,      653.474173630548, 654.431523972453, 655.086898283547)), row.names = c("660",      "15", "72", "165", "301", "655", "549", "339", "837", "754",      "516", "153", "878", "73", "376", "723", "76", "448", "272",      "57"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.981654930781839,      0.809593486971481, 0.77629303102006, 0.543481285016391, 0.27238822786739,      0.257214085025846, 0.140129550203136, 0.131201451875791,      0.116872967134191, 0.0761285182906427, 0.0352608059786255,      0.0206770967232732, 0.0178520210291402, 0.0143166109285544,      0.0057479668757883, 0.00187951917809018, 2.41831454531784e-05,      3.99950642434284e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2299101901 
R squared (OOB):                  0.5417407 

$Forests[[661]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(428000, 420000, 4e+05,      418000, 367000, 412000, 416000, 433000, 4e+05, 4e+05, 395000,      292000, 365000, 415000, 258000, 288000, 420000, 285000, 370000,      3e+05), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 92, 84, 92, 92, 84, 84, 92, 84, 92, 84), storey_order = c(4L,      5L, 2L, 5L, 1L, 5L, 4L, 4L, 2L, 3L, 2L, 1L, 1L, 5L, 1L, 1L,      3L, 3L, 1L, 1L), remaining_lease_mths = c(1140, 1143, 1130,      1138, 1137, 1144, 1140, 1130, 1137, 1143, 1146, 761, 1137,      1144, 781, 770, 1144, 776, 1146, 766), PROX_CBD = c(16.1831859860721,      16.1537572283104, 16.1976566517324, 16.0903666266177, 16.0903666266177,      16.0903666266177, 16.055983361932, 16.055983361932, 16.0475930141239,      16.0475930141239, 16.0046521285213, 16.3662877971208, 16.0046521285213,      15.9533618390172, 16.1631400386504, 16.2681803933938, 15.9392575628934,      16.2311391435218, 15.87024444961, 16.3138748954346), PROX_ELDERLYCARE = c(0.0701319802482612,      0.0462823216560119, 9.89208662673193e-07, 0.179967723198436,      0.179967723198436, 0.179967723198436, 0.146417557277997,      0.146417557277997, 0.129564145964732, 0.129564145964732,      0.20718686492254, 0.177020457931737, 0.20718686492254, 0.251148223850536,      0.194171564025932, 0.20801878428071, 0.0436662178849567,      0.252142982647588, 0.10693627682917, 0.259941730365991),          PROX_HAWKER = c(1.00994702859189, 0.986028325459381,          1.03146250928298, 0.9143232220583, 0.9143232220583, 0.9143232220583,          0.897672222950446, 0.897672222950446, 0.872301448799324,          0.872301448799324, 0.855932206484513, 1.20613696965479,          0.855932206484513, 0.802087399746937, 1.03995728027003,          1.14155805943316, 0.765854363537175, 1.12300848995143,          0.694651515851724, 1.19589315813724), PROX_MRT = c(1.08237519657155,          1.02112351286352, 1.02706758196582, 1.13213387762555,          1.13213387762555, 1.13213387762555, 0.936151237003446,          0.936151237003446, 1.14436247830993, 1.14436247830993,          0.883219311345816, 1.07002489239586, 0.883219311345816,          0.8851452059773, 0.842728374229233, 0.896888955057001,          1.14464062157712, 0.830985280221221, 1.09555222562317,          0.896077488488813), PROX_PARK = c(0.848434833813522,          0.793519520304926, 0.822565203699192, 0.83568858459355,          0.83568858459355, 0.83568858459355, 0.683762717294504,          0.683762717294504, 0.824988291997923, 0.824988291997923,          0.619767633008914, 0.840406553837571, 0.619767633008914,          0.589052524814441, 0.707513815343702, 0.750067315759091,          0.777956069134633, 0.723677668737743, 0.707790886000148,          0.695881850270676), PROX_GOOD_PRISCH = c(6.78038310261662,          6.74044920052795, 6.78043949525415, 6.70919168347838,          6.70919168347838, 6.70919168347838, 6.63421015362065,          6.63421015362065, 6.67335529701902, 6.67335529701902,          6.57618460349959, 6.93507101526025, 6.57618460349959,          6.52939634907869, 6.70927938580052, 6.81173689796023,          6.57394481891556, 6.76533990958697, 6.49806658702102,          6.84997592861041), PROX_MALL = c(0.241735562355662, 0.180580587241737,          0.189710317758296, 0.311149009276151, 0.311149009276151,          0.311149009276151, 0.118546137622893, 0.118546137622893,          0.339403259296736, 0.339403259296736, 0.110811660449771,          0.298590834338171, 0.110811660449771, 0.161178852361569,          0.0870960802892481, 0.188162247463955, 0.391567182053879,          0.175221521556568, 0.388975340293238, 0.242195958154985         ), PROX_CHAS = c(0.148113838308576, 0.0922372285822684,          0.0868060808909073, 0.215238065300109, 0.215238065300109,          0.215238065300109, 0.110329053122027, 0.110329053122027,          0.16574506375663, 0.16574506375663, 0.114687044901222,          0.209004221202181, 0.114687044901222, 0.165813590617473,          0.081875317774622, 0.160774225575301, 0.0895372628546906,          0.170601730776313, 0.140210421841136, 0.218904529587093         ), PROX_SUPERMARKET = c(0.247969406526707, 0.186806037215644,          0.195853508350489, 0.316789996913415, 0.316789996913415,          0.316789996913415, 0.123371553336512, 0.123371553336512,          0.344658205065017, 0.344658205065017, 0.112847248683738,          0.303085580417471, 0.112847248683738, 0.162291812321236,          0.0873208554119548, 0.189660657064324, 0.354688671920554,          0.137275095711229, 0.287679129281494, 0.204979568486045         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 8L, 8L, 2L, 2L, 2L,          3L, 3L, 2L, 2L, 3L, 8L, 3L, 3L, 6L, 6L, 3L, 5L, 4L, 4L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 8L, 8L, 8L, 7L, 7L,          9L, 9L, 7L, 5L, 7L, 8L, 11L, 11L, 9L, 10L, 8L, 8L), WITHIN_1KM_PRISCH = c(4L,          4L, 5L, 4L, 4L, 4L, 5L, 5L, 4L, 4L, 5L, 4L, 5L, 5L, 5L,          5L, 4L, 5L, 4L, 5L), DNeighbour = c(0, 64.5663387672856,          71.420612670634, 125.793708485854, 127.392950487739,          128.742724698718, 161.930481442532, 162.723574856188,          173.164383832293, 174.256330638655, 227.953169298407,          229.706829229688, 230.172535760361, 256.710302479281,          257.473030229262, 276.109593012469, 276.671383212722,          320.768821728966, 326.047708387605, 330.665298059803)), row.names = c("661",      "869", "427", "249", "161", "919", "538", "741", "440", "28",      "408", "687", "594", "124", "872", "798", "517", "945", "582",      "848"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.925199254922035,      0.908872483654256, 0.73149701109739, 0.725176200049565, 0.719800949714855,      0.57787818634079, 0.57430345927645, 0.526719233294125, 0.521695111256097,      0.275371860479407, 0.267722013075276, 0.265698862382097,      0.157838285702782, 0.15500114041987, 0.0916602563913742,      0.0899485524998991, 0.00347654379098257, 0.000769179023461887,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1378666473 
R squared (OOB):                  0.5708734 

$Forests[[662]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(460000, 485000, 440000,      403000, 430000, 465000, 5e+05, 520000, 460000, 4e+05, 510000,      490000, 545000, 535000, 432000, 455000, 520000, 532000, 515000,      489000), floor_area_sqm = c(93, 93, 93, 92, 92, 93, 93, 93,      92, 92, 92, 95, 93, 93, 93, 93, 93, 96, 92, 92), storey_order = c(3L,      2L, 2L, 1L, 1L, 5L, 6L, 5L, 2L, 1L, 3L, 2L, 5L, 4L, 5L, 5L,      4L, 4L, 2L, 2L), remaining_lease_mths = c(1138, 1147, 1142,      1138, 1128, 1097, 1137, 1147, 1137, 1131, 1136, 1111, 1127,      1118, 1129, 1138, 1118, 1111, 1138, 1137), PROX_CBD = c(13.8880322509317,      13.9293604468603, 13.9713915856932, 13.9348601041022, 13.983033341901,      13.8110145095205, 13.7068457080251, 13.7003463440691, 13.9481332653994,      13.9748767742628, 14.0250110126613, 13.7780295697528, 13.8964286142315,      13.8964286142315, 13.4495242740615, 13.5153222954464, 13.7912064237251,      13.8842234613226, 14.4453014943547, 14.4453014943547), PROX_ELDERLYCARE = c(0.250782943854859,      0.234065981952779, 0.226595382415433, 0.122633260073778,      0.0819455196406728, 0.2424730747692, 0.409751638237597, 0.434917902994305,      0.108372417523696, 0.0869602171534455, 0.0392522324995346,      0.24280876806526, 0.28821019895416, 0.28821019895416, 0.226392675254826,      0.128038783583345, 0.194902312085005, 0.284905700992106,      0.431976777822193, 0.431976777822193), PROX_HAWKER = c(0.989318285046145,      0.970053791291438, 0.954180271331751, 0.848294615942255,      0.818439961244233, 0.93957565430704, 1.09574216637781, 1.07570104527527,      0.783686601130967, 0.759405218095962, 0.732915378457501,      0.855348356505915, 0.700607063348248, 0.700607063348248,      1.13086059974118, 1.06471945671836, 0.761066408094757, 0.667389882084889,      0.391270554493315, 0.391270554493315), PROX_MRT = c(0.0905698875540676,      0.101292979723356, 0.128817306959056, 0.066674836544346,      0.0961191462833423, 0.110074032088272, 0.23189639897339,      0.256932190523524, 0.146013494832411, 0.16215489673441, 0.179377644983316,      0.290902656750774, 0.214342865325431, 0.214342865325431,      0.537207200764636, 0.531733722241289, 0.263976344610204,      0.172676244118343, 0.309279527401184, 0.309279527401184),          PROX_PARK = c(1.13098813526459, 1.10248671215858, 1.07610116952693,          1.01289159319472, 0.973290645087517, 1.12286028608686,          1.30108171005294, 1.30953091682666, 0.964943529987853,          0.93793434477989, 0.898948825756494, 1.08412864631293,          0.945155408432775, 0.945155408432775, 1.14705623529365,          1.12627074536918, 1.03946212768551, 0.946790994443363,          0.463863624631307, 0.463863624631307), PROX_GOOD_PRISCH = c(4.29841605508598,          4.33684280477295, 4.37541592083903, 4.3780728039611,          4.42376284483209, 4.2580170038876, 4.11427377683663,          4.10033714204368, 4.41058426346667, 4.4381077472328,          4.48326906164864, 4.27934963146811, 4.42474408393319,          4.42474408393319, 3.97306691053722, 4.05859518452173,          4.37243865161908, 4.46427355245829, 4.92565705183443,          4.92565705183443), PROX_MALL = c(0.648384322611893, 0.634323955575517,          0.625072347077181, 0.500682206465503, 0.475935346664486,          0.585854127158584, 0.786897805640679, 0.816725098938654,          0.431747484707969, 0.408666125180857, 0.387952579177684,          0.507308338763366, 0.36232957329041, 0.36232957329041,          0.817008429043632, 0.741140095950697, 0.47180896375681,          0.384398044205003, 0.259948531881284, 0.259948531881284         ), PROX_CHAS = c(0.0495611607390083, 0.0456516508281062,          0.0752462089475253, 3.70448785353559e-08, 0.0483941894268844,          0.123846030022364, 0.0683167852462459, 0.0738696133860389,          0.0812590805558053, 0.0955424375353944, 0.116095717847762,          0.246000912873009, 0.190952462752685, 0.190952462752685,          0.142936854782623, 0.0484693686848179, 3.14247486029477e-08,          0.0936868185767241, 0.259948576333881, 0.259948576333881         ), PROX_SUPERMARKET = c(0.0495614942866338, 0.04565204632056,          0.0752464841458058, 0.112910168339451, 0.123899374628808,          0.157551778944521, 0.0683172333971998, 0.0738703098972174,          0.194128300134642, 0.205979542456043, 0.21237786594893,          0.271122867675942, 0.190953240917096, 0.190953240917096,          0.417643104955167, 0.321659607097496, 8.52808058992138e-07,          0.093687407280864, 0.257218468152336, 0.257218468152336         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 2L, 2L, 1L,          0L, 0L, 2L, 2L, 2L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 4L, 5L, 5L, 4L, 3L,          5L, 5L, 3L, 4L, 5L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 4L, 4L         ), WITHIN_350M_BUS = c(11L, 11L, 11L, 11L, 11L, 12L,          14L, 13L, 7L, 6L, 9L, 9L, 9L, 9L, 5L, 6L, 8L, 7L, 6L,          6L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 3L,          3L, 4L, 4L, 4L, 6L, 5L, 5L, 4L, 5L, 5L, 5L, 4L, 4L),          DNeighbour = c(0, 38.8029901114493, 86.5641860311934,          154.409240945226, 163.675511723904, 166.676511733309,          185.485049045504, 203.500341212715, 230.844661441047,          241.659644703163, 257.170893431965, 364.796006565596,          457.76421814163, 459.454890144105, 577.21041278851, 581.894967288683,          630.970449243758, 633.370067211013, 658.615748966192,          664.313209344182)), row.names = c("662", "21", "361",      "356", "710", "645", "863", "616", "34", "690", "8", "282",      "442", "760", "988", "183", "420", "670", "855", "50"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.993188024015384, 0.966328855612621, 0.894867282784769,      0.882275838806365, 0.878060720847479, 0.850157691513909,      0.821127312996907, 0.77307725968733, 0.75284902052087, 0.722730907001158,      0.487837211568052, 0.275803806398891, 0.272125385267825,      0.0600457978097761, 0.0541671934620879, 0.00957726084158974,      0.00827893909338665, 0.000291705166326643, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1301548586 
R squared (OOB):                  0.3179633 

$Forests[[663]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(422500, 425000, 4e+05,      405000, 450000, 385000, 415000, 440000, 365000, 415000, 408000,      425000, 395000, 468000, 420000, 385000, 420000, 365000, 415000,      420000), floor_area_sqm = c(104, 104, 107, 106, 106, 84,      108, 104, 84, 103, 105, 104, 103, 106, 106, 102, 103, 103,      108, 105), storey_order = c(3L, 4L, 1L, 2L, 2L, 2L, 2L, 3L,      4L, 2L, 1L, 2L, 4L, 5L, 3L, 3L, 2L, 1L, 3L, 2L), remaining_lease_mths = c(765,      775, 912, 778, 919, 815, 891, 752, 787, 768, 797, 801, 772,      863, 874, 755, 757, 757, 904, 787), PROX_CBD = c(13.4875816574924,      13.5598735525989, 13.6047453762483, 13.2146489403719, 13.6245617307962,      13.8115996810708, 13.8459786715751, 13.1913836000948, 13.5012180894848,      13.0537205387581, 13.8987191813532, 13.9224032790502, 13.1724132817366,      13.629257933267, 13.629257933267, 13.2614515751509, 13.2614515751509,      13.0970803497533, 13.7944980809676, 12.7549887608908), PROX_ELDERLYCARE = c(0.428841001075194,      0.555470204987842, 0.271914041498034, 0.392334185262972,      0.120631950903102, 0.244605555667631, 0.429452782693922,      0.779182108791446, 0.126566715598502, 0.569472877275307,      0.166628987045545, 0.160860892679658, 0.906244923447749,      0.207468408301612, 0.207468408301612, 0.99636081833896, 0.99636081833896,      0.830352740740998, 0.91518434198946, 0.556485595404089),          PROX_HAWKER = c(1.41347495302278, 1.44869421276883, 1.50728197565297,          1.1504484389926, 1.48009929412898, 1.71143518366979,          1.71981564227335, 1.05769292681279, 1.32455892398921,          0.963287544217337, 1.60647998640073, 1.57003684649171,          1.03184370064912, 1.4012681206183, 1.4012681206183, 1.14030290242306,          1.14030290242306, 0.973651338137405, 1.66782294138278,          0.627642822312809), PROX_MRT = c(0.229256973107587, 0.172867375742438,          0.222008379422339, 0.530339592860526, 0.357520644011877,          0.198072339225813, 0.2084775132707, 0.577154139562059,          0.54422435083218, 0.551410176707671, 0.337555536848429,          0.375491068655226, 0.712767869041386, 0.681065013996815,          0.681065013996815, 0.667490524156887, 0.667490524156887,          0.602819058882962, 0.658832763416297, 0.561554903993597         ), PROX_PARK = c(1.00267286051928, 1.16233583500127,          0.882483872449952, 0.763919329225246, 0.731000545087102,          0.925135888784, 1.1446906726086, 1.12092772213378, 0.593866981909781,          0.974634241933185, 0.83983547285748, 0.819174175884815,          0.94305137750942, 0.403276931712581, 0.403276931712581,          0.758867978246924, 0.758867978246924, 0.879464356596765,          0.645156432286565, 1.16122098497616), PROX_GOOD_PRISCH = c(1.87202126825599,          1.97663004084467, 1.96272742295518, 1.57814209766337,          1.96554365084008, 2.17137072991142, 2.27101821651052,          1.6842887316892, 1.8351788996921, 1.48818847749708, 2.24487256678893,          2.26578798898653, 1.76071721252525, 1.96779323327463,          1.96779323327463, 1.91909050044553, 1.91909050044553,          1.76550469910092, 2.39271928635374, 1.29435567579286),          PROX_MALL = c(0.948424723316687, 1.05810160080284, 1.0427530371351,          0.655287065425073, 1.05956757611768, 1.25122768833936,          1.35153556565047, 0.813382909306435, 0.956400108312903,          0.593340478429386, 1.33259876169033, 1.34118728457461,          0.808064657998832, 1.12429495075828, 1.12429495075828,          0.72813233212774, 0.72813233212774, 0.655283448157635,          1.14990641994387, 0.542723135774117), PROX_CHAS = c(0.231037598077535,          0.180657994610612, 0.15212794302602, 0.358071114142678,          2.17172157220984e-06, 0.130123043615932, 0.345234103044859,          0.19044114280624, 0.0648495538885981, 0.203693673714882,          0.0582471476749484, 0.0806372798138111, 0.253073540027742,          0.260044927245007, 0.260044927245007, 0.255705601713763,          0.255705601713763, 0.10733838099953, 0.17469359838053,          0.144180959238343), PROX_SUPERMARKET = c(0.231037826802092,          0.180658044884504, 0.353624023725788, 0.384538867225359,          0.237807435452358, 0.30366394922488, 0.426625283183798,          0.190441743522314, 0.329742543966106, 0.349948262987797,          0.2065347950197, 0.189550835904173, 0.263318229535236,          0.288903462518554, 0.288903462518554, 0.336474046543398,          0.336474046543398, 0.176189281490626, 0.357404112790227,          0.150188458093997), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 0L, 2L, 3L, 0L, 1L, 3L, 1L, 2L, 2L, 3L, 1L, 3L, 3L,          2L, 2L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(2L, 3L,          6L, 3L, 5L, 3L, 3L, 4L, 5L, 2L, 3L, 3L, 3L, 6L, 6L, 2L,          2L, 1L, 3L, 3L), WITHIN_350M_BUS = c(10L, 11L, 12L, 9L,          10L, 10L, 12L, 8L, 7L, 8L, 9L, 9L, 6L, 6L, 6L, 6L, 6L,          4L, 7L, 7L), WITHIN_1KM_PRISCH = c(5L, 6L, 5L, 6L, 4L,          5L, 5L, 5L, 4L, 6L, 4L, 3L, 4L, 2L, 2L, 4L, 4L, 4L, 4L,          5L), DNeighbour = c(0, 159.083214079687, 178.730392477328,          303.014678865782, 326.174083571733, 351.376383209486,          422.295269165011, 426.048315967446, 445.645549440366,          446.137583610441, 471.235980274648, 506.595605005659,          606.257202611763, 632.97327902097, 635.773907123006,          717.375420431577, 721.302775087203, 760.102947894776,          769.375326634452, 784.012018743729)), row.names = c("663",      "564", "955", "511", "656", "235", "970", "229", "264", "541",      "531", "219", "225", "415", "503", "473", "753", "597", "542",      "215"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.919350895663979,      0.898761184822886, 0.72356056419919, 0.683792353129115, 0.638620128917995,      0.503920772224997, 0.496593639131506, 0.45819688475506, 0.457230976055452,      0.407976495767119, 0.339282826254891, 0.161640314859031,      0.121231788757245, 0.117239673387573, 0.0264923395502555,      0.0235845124915417, 0.00360739568389567, 0.00136821554017261,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       617193733 
R squared (OOB):                  0.05465348 

$Forests[[664]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(378000, 394000, 375000,      378000, 380000, 368888, 4e+05, 310000, 395000, 324000, 320000,      333000, 330000, 345000, 345000, 335000, 320000, 295000, 315000,      330000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 91,      92, 90, 100, 100, 102, 102, 102, 100, 101, 101, 103, 103),          storey_order = c(2L, 5L, 2L, 3L, 4L, 4L, 4L, 4L, 3L,          4L, 4L, 4L, 1L, 2L, 4L, 4L, 1L, 1L, 2L, 1L), remaining_lease_mths = c(1136,          1142, 1135, 1133, 1135, 1143, 1145, 927, 1132, 929, 930,          928, 911, 927, 926, 930, 924, 917, 926, 928), PROX_CBD = c(18.6831604018118,          18.5586196198757, 18.5586196198757, 18.5541585191533,          18.528449956106, 18.528449956106, 18.4659506582063, 18.6571260927441,          18.4477570786683, 18.3448727328387, 18.242108360018,          18.2095446148373, 18.2320763538069, 18.2868848905217,          18.236688278315, 17.9186379864086, 18.0902268845521,          18.4986491838169, 18.5458637520931, 18.5768909080638),          PROX_ELDERLYCARE = c(1.47678345842271, 1.41981179339616,          1.41981179339616, 1.3934670212363, 1.49671415705568,          1.49671415705568, 1.40960952841152, 1.27166470727688,          1.45029388933935, 1.12000720290482, 1.08331104464233,          1.17430183890643, 0.927534095024191, 0.896456720381782,          0.732088251039709, 1.13507400842797, 0.706169610995159,          0.86418951980865, 0.890661700747245, 0.912532633143698         ), PROX_HAWKER = c(1.01746494726896, 0.915906485722884,          0.915906485722884, 0.899006211509986, 0.947708217710491,          0.947708217710491, 0.861254406292383, 0.924657565926692,          0.879695992543251, 0.636376603494217, 0.548257960059823,          0.579651089601917, 0.493410913505403, 0.547085889030319,          0.537987121264097, 0.435091735724103, 0.370412154176866,          0.838043969781633, 0.898999046399804, 0.935860141611343         ), PROX_MRT = c(0.943619619760125, 0.839968978875504,          0.839968978875504, 0.823747240068891, 0.869531291623609,          0.869531291623609, 0.783375472664302, 0.861078471223358,          0.801027338961469, 0.565211037998289, 0.47401652613315,          0.501132314022455, 0.433316978327494, 0.495991449430539,          0.511061821383635, 0.364011265623101, 0.341202563029131,          0.812751343363136, 0.87509641959225, 0.912233851204259         ), PROX_PARK = c(2.2148581526701, 2.25577949184332, 2.25577949184332,          2.22642888666982, 2.37596217173297, 2.37596217173297,          2.321508063195, 1.95136051888807, 2.38376543636855, 2.08056453235766,          2.12857307310705, 2.25371860749481, 1.96114614265628,          1.86697967968657, 1.7164330470264, 2.31505119222808,          1.8531048262974, 1.49181484955502, 1.4387346144793, 1.41172869826724         ), PROX_GOOD_PRISCH = c(9.12987022396436, 9.00274768401056,          9.00274768401056, 9.00155567304774, 8.9605147002348,          8.9605147002348, 8.90481615501782, 9.13456945987866,          8.8804818877731, 8.81498363377987, 8.71021480286832,          8.6635222339794, 8.72297519828522, 8.78822500750919,          8.76378557853615, 8.3676789538936, 8.60631027953587,          9.04519470993137, 9.09837600782165, 9.13217936844248),          PROX_MALL = c(0.525391611000181, 0.5054917244252, 0.5054917244252,          0.475387173022169, 0.613385110580272, 0.613385110580272,          0.542775018358786, 0.300602441432182, 0.601716003339109,          0.284195187673565, 0.347669457974494, 0.468966497593582,          0.22704735136933, 0.1450338527091, 0.240339889961931,          0.384238747959315, 0.342860958869265, 0.305101649121832,          0.359721010486642, 0.390092702495136), PROX_CHAS = c(0.090990597005735,          0.101888085354885, 0.101888085354885, 0.0809306171135589,          0.220932244035638, 0.220932244035638, 0.20305264112251,          0.214120710257936, 0.260006933015678, 0.24769320941352,          0.274735402884708, 0.3998394205418, 0.11607611654581,          0.0217240252323136, 0.184864523484869, 0.360842629752134,          0.209799590563819, 0.305101651313883, 0.359721009550721,          0.390092699752756), PROX_SUPERMARKET = c(0.0909910491430168,          0.101886801165025, 0.101886801165025, 0.080929224247632,          0.220931072377982, 0.220931072377982, 0.203051245143547,          0.214121714630789, 0.260005577706646, 0.284194910851331,          0.347668959247477, 0.402574253870019, 0.227046556279957,          0.145032957963293, 0.240339157209448, 0.360842909613722,          0.342860053820009, 0.305101855713295, 0.359721304530864,          0.390093045846372), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 2L,          1L, 2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 3L, 2L, 5L, 7L, 6L, 1L,          6L, 6L, 5L, 5L), WITHIN_350M_BUS = c(5L, 5L, 5L, 8L,          6L, 6L, 6L, 8L, 8L, 8L, 7L, 8L, 10L, 9L, 7L, 11L, 7L,          9L, 9L, 9L), WITHIN_1KM_PRISCH = c(3L, 4L, 4L, 4L, 3L,          3L, 4L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 6L, 3L, 5L, 4L, 4L,          4L), DNeighbour = c(0, 125.129377302742, 126.352972879801,          129.821233168267, 214.720513602318, 216.471236332974,          235.281055192649, 261.105319848718, 276.055545415527,          381.994912651849, 462.637422880008, 471.93323152324,          564.744757514292, 579.930478128619, 743.263759821683,          763.439407263209, 776.253483859774, 779.384397947711,          805.645654760982, 826.73902828764)), row.names = c("664",      "581", "35", "563", "102", "875", "777", "761", "504", "512",      "608", "243", "443", "787", "227", "590", "74", "684", "576",      "828"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.954709342146499,      0.953829764777714, 0.951292378913816, 0.869641321910516,      0.867582618625024, 0.84457744710892, 0.810457648304113, 0.789440825088128,      0.618597407262692, 0.471770624734407, 0.45447163305479, 0.284489425773345,      0.258006583172292, 0.0367656912667567, 0.0216880336739411,      0.0140192026977083, 0.0123825181835989, 0.00253783480074388,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       333340724 
R squared (OOB):                  0.676176 

$Forests[[665]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(295000, 375000, 380000,      359000, 365000, 418000, 398000, 280000, 310000, 308000, 355000,      3e+05, 355000, 380000, 350000, 395000, 380000, 327000, 412000,      390000), floor_area_sqm = c(83, 104, 108, 103, 103, 104,      104, 84, 84, 84, 104, 85, 104, 92, 93, 93, 93, 84, 92, 92     ), storey_order = c(1L, 1L, 2L, 1L, 4L, 1L, 3L, 4L, 2L, 1L,      2L, 4L, 4L, 2L, 1L, 4L, 3L, 1L, 3L, 4L), remaining_lease_mths = c(812,      808, 807, 799, 805, 794, 823, 809, 787, 779, 785, 798, 814,      1142, 1111, 1108, 1110, 802, 1128, 1142), PROX_CBD = c(14.136177090114,      14.2674761918172, 14.3069689320192, 14.1470244070667, 14.5082496767788,      14.6249352309891, 14.4215550437188, 14.5514247745221, 14.7686155241139,      14.8104288104214, 14.7946380504301, 14.6468242567931, 14.9797222810306,      14.4940333615496, 14.6221320584002, 14.6649260398624, 14.607628567626,      15.395293903354, 14.5596883563906, 14.5596883563906), PROX_ELDERLYCARE = c(1.52241617566094,      1.37520258101488, 1.30284795398611, 1.73443513584582, 1.0960579077266,      1.66362706878828, 0.933706769700102, 0.934928905143492, 1.18091019396193,      1.14385816982861, 1.02543356664281, 0.791783477476035, 1.40865121451131,      0.500918112427577, 0.410896008057539, 0.374463671675583,      0.363539264939185, 1.48326161455178, 0.399519357429504, 0.399519357429504     ), PROX_HAWKER = c(1.5304212921709, 1.3725902814614, 1.30042856091519,      1.71810403079302, 1.06968967826483, 1.46189875323845, 0.964097104531415,      0.920905853639359, 1.07995965555937, 1.03493347869974, 0.927587772885235,      0.771377618176498, 1.17708155532767, 0.682637638745144, 0.55845452984231,      0.515424723672587, 0.571839614015762, 0.763118949388798,      0.625641729464286, 0.625641729464286), PROX_MRT = c(0.407136749273107,      0.392323251912074, 0.431073100471927, 0.316955810938843,      0.541381135472874, 0.177135615746217, 0.766580328668093,      0.702240402731505, 0.495669019430354, 0.547659244513397,      0.635923545376501, 0.834242720427877, 0.541117453484526,      1.32800225952209, 1.30119397664661, 1.31347134818138, 1.42703012637354,      0.486709870425329, 1.46473462254762, 1.46473462254762), PROX_PARK = c(0.646645557650639,      0.808406007535371, 0.87843358408359, 0.521638252737905, 0.854937524579578,      0.967683324465338, 0.786856267919922, 0.717751277212032,      0.837021679605882, 0.79060261488636, 0.687013904416796, 0.572284771964545,      0.869949400509587, 0.65941869562705, 0.524601749565547, 0.48594234877488,      0.592644125813336, 0.736647900507106, 0.656743209310805,      0.656743209310805), PROX_GOOD_PRISCH = c(4.56541244462189,      4.71060068854172, 4.7599521059868, 4.5417585858835, 4.9821455258424,      5.00900650468442, 4.94298421634201, 5.05486565817651, 5.21242267662931,      5.2589313064801, 5.2635668385575, 5.17213285521296, 5.38873705701154,      5.15263130971644, 5.26427170666348, 5.30673314037113, 5.28617698570013,      5.79164197089728, 5.25302892838613, 5.25302892838613), PROX_MALL = c(0.730402721918488,      0.598720745421956, 0.530519583310388, 0.958986678954386,      0.395836928017505, 1.02277508016934, 0.158055972255249, 0.264439990658005,      0.644074766251318, 0.641907311269237, 0.540570027720398,      0.253080993480643, 0.857174016474006, 0.407798057490129,      0.412850725186958, 0.439421746266814, 0.523782484457491,      0.561468969675593, 0.550646738699849, 0.550646738699849),          PROX_CHAS = c(0.0978085819739089, 0.0989632897848068,          0.141608811196257, 0.262672355720334, 0.111998728732921,          0.253202817693943, 0.110909163864147, 0.0412741280494288,          0.305551557127515, 0.273160540123658, 0.151656769473437,          0.118994056415591, 0.0593781975043205, 0.0559452214520875,          0.0938393111767789, 0.0969357032130768, 0.198893245072118,          0.1019571402223, 0.19650938121062, 0.19650938121062),          PROX_SUPERMARKET = c(0.152757697669253, 0.13781747249929,          0.179396317901182, 0.246179282205813, 0.321173728185784,          0.177136085505812, 0.155031856949385, 0.259076961683863,          0.397697747354111, 0.406551385550075, 0.505826018716947,          0.246822057901315, 0.101389584423307, 0.202112654374605,          0.0938384818523742, 0.0969351949685631, 0.223766299699327,          0.0953919744611677, 0.27843134046436, 0.27843134046436         ), WITHIN_350M_KINDERGARTEN = c(3L, 3L, 2L, 3L, 0L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 7L, 7L, 4L, 4L, 1L,          3L, 4L, 3L, 2L, 5L, 5L, 3L, 4L, 6L, 6L, 4L, 2L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 6L, 7L, 6L, 8L, 9L, 10L, 7L,          8L, 7L, 8L, 9L, 10L, 9L, 9L, 8L, 7L, 9L, 7L, 7L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 4L, 3L, 3L, 4L, 3L, 4L,          4L, 4L, 4L, 4L, 4L), DNeighbour = c(0, 161.27411157185,          235.651686648207, 245.603375846146, 473.00235881229,          578.74355312932, 587.157030037866, 609.538998213168,          648.93658051298, 698.691132459426, 722.849672549632,          759.151858743653, 846.061100755898, 1135.74273690975,          1145.3686093457, 1165.61077963509, 1251.03672773112,          1267.8616955449, 1273.63541151456, 1278.31249754792)), row.names = c("665",      "377", "341", "636", "884", "30", "546", "253", "101", "396",      "424", "862", "984", "702", "324", "17", "452", "556", "961",      "163"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.9684197815066,      0.933188040039467, 0.927534072622631, 0.744914894099946,      0.63206672604635, 0.622557794480166, 0.596960545150015, 0.550995174111369,      0.491762677530207, 0.462728689090451, 0.419020640685741,      0.315781339030811, 0.0443609774521355, 0.0388811917688706,      0.0284111012820672, 0.00178247515999015, 0.000265171792425134,      5.33514452153915e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2250665614 
R squared (OOB):                  -0.3564764 

$Forests[[666]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(478000, 390000, 423800,      415000, 390000, 450000, 4e+05, 447000, 435000, 430000, 360000,      615000, 550000, 438000, 410000, 548000, 658000, 425000, 390000,      429000), floor_area_sqm = c(104, 103, 104, 104, 102, 105,      91, 107, 103, 103, 84, 84, 93, 104, 104, 93, 84, 104, 104,      104), storey_order = c(5L, 1L, 2L, 2L, 2L, 2L, 1L, 3L, 4L,      2L, 2L, 2L, 3L, 2L, 2L, 4L, 3L, 3L, 1L, 2L), remaining_lease_mths = c(770,      773, 756, 760, 763, 757, 783, 782, 819, 764, 762, 1122, 1137,      812, 761, 1135, 1120, 747, 809, 822), PROX_CBD = c(11.927322045494,      11.9179556382635, 11.7174653186763, 11.6914583773846, 11.6387779682198,      11.4573592114175, 11.4963900230166, 11.7840832214562, 11.381621166991,      12.3243460542753, 11.4815172953657, 12.3801819754074, 11.2116042179965,      11.7215458353159, 12.2901811097239, 11.1809634086998, 12.4891302242583,      12.4246534304877, 11.7882471009294, 11.1191912667925), PROX_ELDERLYCARE = c(0.77464979732367,      0.757050983431463, 0.74375074589335, 0.736997311630605, 0.792216801753581,      0.52883250894194, 0.672630859926948, 0.481333190444255, 0.382123855460196,      0.362207242709056, 0.182032582488253, 0.738453704244922,      0.369355324070756, 0.240093333498969, 0.180150537957213,      0.333450295290741, 0.707031754326944, 0.223353489993969,      0.114277277444971, 0.213121327483379), PROX_HAWKER = c(0.445987433628815,      0.581821713307667, 0.5637831570093, 0.558671781535233, 0.61454926069889,      0.848364442784946, 0.804785607263954, 0.436117874461739,      0.863892291353285, 0.290415492755609, 0.728271246274353,      0.261296216065877, 1.02311573056961, 0.609281739536534, 0.155357947035291,      1.04207495818587, 0.384467206049481, 0.283538945902673, 0.647051853283446,      1.08329799955244), PROX_MRT = c(0.493642118682657, 0.401552834915971,      0.162940637784707, 0.140110279979828, 0.0844107562606101,      0.275269590424193, 0.132306565433056, 0.81394482428473, 0.424871345706255,      0.559245805822074, 0.756359380624344, 0.367154517888221,      0.524888394814585, 0.989064774064853, 0.729338839878115,      0.580267989687754, 0.38468199977318, 0.694199692700576, 1.00317447086964,      0.776456939054752), PROX_PARK = c(1.17760662255222, 1.26489639581012,      1.5229705853841, 1.50772581466401, 1.51709061898346, 1.3775538710324,      1.41209410927924, 1.20101103678102, 1.31830174708739, 1.218970746516,      1.50398184725757, 0.605799570777928, 1.15338615463339, 1.28416187507733,      1.26762597166046, 1.13378306757762, 0.50651752093578, 1.19561442246869,      1.24877122811849, 1.13833451608328), PROX_GOOD_PRISCH = c(0.289303568244907,      0.374797987706521, 0.440184840714675, 0.476923220580037,      0.453346371612442, 0.277148461253506, 0.364349890680966,      0.357669915539773, 0.288839241027683, 0.889618707353532,      0.365254403810308, 0.823417580851307, 0.456074275886943,      0.585140695782779, 0.992456269301591, 0.485317217067727,      0.94986022590219, 1.09898709469432, 0.713901761199557, 0.586469336292635     ), PROX_MALL = c(0.376851773239706, 0.498039402667872, 0.750703947848918,      0.797799046209296, 0.815834004295584, 0.815329638117364,      0.844787863205902, 0.489619370966043, 0.849953313581112,      0.471904090765479, 0.763531318053358, 0.344173235497563,      1.01522535242687, 0.690287469384684, 0.649064194608972, 1.03968747299659,      0.458049841664737, 0.626909601034773, 0.741052769880115,      1.10160019948421), PROX_CHAS = c(0.339292519878925, 0.258806234431974,      4.64133788220832e-08, 0.0474151678735614, 0.0804697697946077,      0.179820414455961, 0.0697008731150885, 0.0667093090499658,      0.115324197479935, 0.193597629002809, 0.0516610437101642,      0.126495411341712, 0.206252010873132, 0.164718468919614,      0.128297543182753, 0.216965800691496, 3.00974727266337e-08,      0.221655673315632, 0.0554870656895364, 0.143881852296294),          PROX_SUPERMARKET = c(0.405378875546255, 0.542179538393358,          0.609798994765399, 0.635527990773791, 0.596048194106483,          0.301981775400679, 0.441950593919319, 0.379080894647373,          0.186698572696543, 0.331501685351864, 0.19171128272723,          0.30203349112312, 0.222574928361305, 0.169255457402684,          0.159863951308791, 0.212835414763751, 0.425107542879533,          0.209750471448386, 0.0453848138423891, 0.246182427713253         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 2L, 0L, 2L, 0L, 2L, 0L, 2L, 4L, 0L, 2L, 2L, 3L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L, 3L, 3L, 4L,          2L, 3L, 4L, 4L, 5L, 3L, 4L, 6L, 5L, 3L, 2L, 5L, 8L, 5L         ), WITHIN_350M_BUS = c(9L, 7L, 5L, 6L, 6L, 7L, 8L, 7L,          10L, 4L, 14L, 8L, 6L, 10L, 3L, 7L, 10L, 4L, 9L, 9L),          WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 3L, 3L, 3L, 3L, 4L,          3L, 6L, 3L, 4L, 2L, 3L, 5L, 2L, 5L, 5L, 3L, 2L), DNeighbour = c(0,          157.044980197188, 383.942363402108, 432.937228470028,          438.847236581606, 477.02125471797, 477.248112936361,          486.477314366108, 554.116354005337, 626.43493276717,          629.080088404694, 703.053093657674, 725.92213212341,          742.323555485176, 748.116571165486, 759.816484812859,          825.40241117477, 837.553425620455, 843.472076654968,          871.057037170707)), row.names = c("666", "63", "941",      "274", "522", "843", "151", "340", "744", "861", "213", "315",      "347", "625", "518", "178", "505", "186", "508", "845"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.93604588559078, 0.649176943305362, 0.566957842393359, 0.556777868854701,      0.490134394589089, 0.489734973131603, 0.473465179903964,      0.354409222777888, 0.233095573049202, 0.228888269519323,      0.121485041111948, 0.0933159483404549, 0.0749325155621901,      0.0688319650168612, 0.0571716152091676, 0.0104200587981871,      0.0056922373085386, 0.00388551049789587, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4843963786 
R squared (OOB):                  0.215371 

$Forests[[667]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 376000, 375000,      369000, 398000, 385000, 485000, 373000, 455000, 335000, 389000,      388000, 418888, 325000, 360000, 395000, 368000, 330000, 408000,      325000), floor_area_sqm = c(101, 101, 90, 94, 100, 101, 93,      103, 93, 93, 103, 100, 100, 84, 104, 101, 100, 84, 100, 85     ), storey_order = c(4L, 2L, 5L, 5L, 2L, 3L, 7L, 1L, 3L, 5L,      2L, 4L, 2L, 5L, 2L, 4L, 2L, 4L, 5L, 1L), remaining_lease_mths = c(932,      948, 946, 942, 924, 952, 1137, 870, 1139, 921, 863, 922,      932, 812, 804, 936, 923, 806, 916, 830), PROX_CBD = c(10.247812625002,      10.1515839247586, 10.5038890156487, 10.5038890156487, 10.2027088676681,      10.5394819073022, 10.5587309121129, 9.95029435977204, 10.5974154418399,      10.6321305837804, 9.90721965789512, 10.3133134299625, 9.64941173000682,      9.87023127008802, 10.0879656312395, 10.5347600839054, 10.5911430304609,      9.63621863936401, 9.71665400465424, 10.1989356004427), PROX_ELDERLYCARE = c(1.89270432318243,      1.93850967877536, 1.64894906385774, 1.64894906385774, 1.63738856945076,      1.55101586165687, 1.80931542236799, 2.09611483432966, 1.80859644276987,      1.32435226249417, 2.17440400131014, 1.4124150938613, 1.9510043332774,      1.35138892750767, 1.31022889057949, 1.31633228018286, 1.2745451415541,      1.48805339077067, 1.86385802759073, 1.08623091115154), PROX_HAWKER = c(0.561647681218514,      0.608980172673109, 0.53455823354733, 0.53455823354733, 0.264427923442986,      0.463304434183495, 0.792644050178693, 0.876506442172381,      0.832920293493618, 0.382898898882956, 1.08766938871094, 0.0623262564011618,      0.940071074791988, 0.410023469086153, 0.196699811405185,      0.259744380023822, 0.314632743063994, 0.677896697868769,      1.14805608329678, 0.368744432216956), PROX_MRT = c(1.63637339364314,      1.73271025710532, 1.36742764633517, 1.36742764633517, 1.392302848886,      1.31136747445593, 1.33157685526365, 1.8917195123599, 1.28588132880872,      1.20430491709432, 1.9078610258369, 1.09471398918577, 1.69853939108909,      1.23646610314009, 1.09046737609619, 1.15842683571226, 1.14211364891441,      1.32502198166586, 2.10187463598542, 0.78040997284139), PROX_PARK = c(0.443665461164749,      0.464183104254495, 0.486479545769779, 0.486479545769779,      0.728383914708498, 0.594979546415276, 0.251058120460841,      0.516721166595223, 0.248039629274522, 0.852996238213812,      0.551504280527303, 0.826294351272671, 0.624691995850973,      0.375073916060521, 0.604882226694947, 1.00657829367171, 0.997953552798557,      0.202594030185392, 0.706984478917025, 0.808282577864154),          PROX_GOOD_PRISCH = c(0.550324531917386, 0.447003801568155,          0.819356328881161, 0.819356328881161, 0.689163418131917,          0.89296386953394, 0.819366619188368, 0.213708578130609,          0.856849085387122, 1.09467860924251, 0.299143542468678,          0.993301788551023, 0.107363170703005, 0.706117631385061,          0.87937610392538, 1.12709017589061, 1.15731102426836,          0.53169554186008, 0.494123442243702, 1.199846441039),          PROX_MALL = c(0.190941194230935, 0.217974225134877, 0.3366209001709,          0.3366209001709, 0.12742430838485, 0.357726596913911,          0.516143411126369, 0.493813340134231, 0.562952549426665,          0.512358501951296, 0.701652802220213, 0.450275200033962,          0.625847194134012, 0.445899708163642, 0.441232897113797,          0.464767570965945, 0.441630162720786, 0.564979440463645,          1.00609620967541, 0.663851500718272), PROX_CHAS = c(0.190941257524933,          0.217974279370684, 0.232134688144963, 0.232134688144963,          0.127424254451578, 0.263233285458842, 0.236682264577822,          0.36937911638564, 0.235419924819913, 0.394471723674887,          0.242250716663617, 0.071192987667569, 0.134178633248207,          0.0764125853219005, 0.177420148260447, 0.272565000598528,          0.327465416824022, 0.204909081807225, 0.0862664572880411,          0.0710453772718398), PROX_SUPERMARKET = c(0.19229406714866,          0.216455869736569, 0.232133828519976, 0.232133828519976,          0.129189539659537, 0.263232243208913, 0.236682533577294,          0.359694409353041, 0.23542039277371, 0.447614574279886,          0.157554225694085, 0.330151298165832, 0.344381560072065,          0.158655939798418, 0.320748009942088, 0.464768447350912,          0.441631117888638, 0.145410708854306, 0.0862669641327853,          0.00115080458448496), WITHIN_350M_KINDERGARTEN = c(3L,          1L, 2L, 2L, 0L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 1L, 0L,          1L, 1L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(10L, 9L,          5L, 5L, 6L, 6L, 7L, 7L, 7L, 3L, 6L, 4L, 3L, 5L, 5L, 1L,          1L, 3L, 8L, 4L), WITHIN_350M_BUS = c(10L, 10L, 11L, 11L,          13L, 15L, 10L, 12L, 10L, 12L, 10L, 15L, 8L, 8L, 11L,          15L, 13L, 7L, 8L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L,          4L, 4L, 4L, 4L, 3L, 3L, 3L, 4L, 2L, 4L, 3L, 5L, 5L, 4L,          4L, 3L, 1L, 4L), DNeighbour = c(0, 100.970645250577,          268.641816716513, 270.696299797377, 309.508463471338,          345.357338683241, 356.405250280715, 398.55603161727,          406.112178929262, 575.457348487678, 579.477683002135,          616.798997296196, 618.160767938282, 625.052510275109,          632.038189641011, 662.534209465131, 677.954902855922,          695.785147137216, 898.476140021041, 917.738535839884)), row.names = c("667",      "366", "942", "734", "771", "769", "614", "780", "360", "975",      "629", "513", "459", "755", "292", "577", "718", "189", "879",      "967"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.975937217569894,      0.835970297772852, 0.833566274869824, 0.785459620062776,      0.736830302617767, 0.721111795642345, 0.658370560887819,      0.64670761528174, 0.368233889903177, 0.361573549470141, 0.300633698337098,      0.298448070735658, 0.287436768440841, 0.27636556524088, 0.229279007210941,      0.206377391070166, 0.180799979218649, 0.00172535749405323,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1402838756 
R squared (OOB):                  0.1396576 

$Forests[[668]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(328000, 361000, 335000,      4e+05, 360000, 325000, 333000, 370000, 330000, 408000, 388000,      360000, 4e+05, 395000, 345000, 368000, 309000, 340000, 325000,      425000), floor_area_sqm = c(84, 84, 84, 103, 103, 85, 84,      98, 84, 100, 100, 104, 104, 101, 91, 100, 91, 104, 84, 108     ), storey_order = c(4L, 4L, 2L, 3L, 1L, 1L, 3L, 2L, 3L, 4L,      4L, 2L, 2L, 4L, 3L, 2L, 2L, 1L, 5L, 3L), remaining_lease_mths = c(806,      794, 796, 796, 798, 830, 823, 912, 791, 921, 922, 804, 822,      936, 773, 923, 774, 869, 812, 820), PROX_CBD = c(10.2439629519707,      10.1908965186918, 10.2571858212528, 10.2571858212528, 10.1540744969693,      10.1989356004427, 9.85122377146013, 10.6430674352334, 9.73525531751342,      10.7481925626994, 10.3133134299625, 10.0879656312395, 10.8294299245227,      10.5347600839054, 9.63489497584329, 10.5911430304609, 9.64616581570663,      10.9782438935663, 9.87023127008802, 10.7884209511687), PROX_ELDERLYCARE = c(0.904720646157319,      0.891997547710976, 0.969336561855173, 0.969336561855173,      0.85844301108046, 1.08623091115154, 0.999223533815273, 1.10983952182968,      0.869795033999967, 1.00181077128688, 1.4124150938613, 1.31022889057949,      0.925828280583076, 1.31633228018286, 0.42629854090558, 1.2745451415541,      0.306199433665808, 0.748731634955849, 1.35138892750767, 1.11323464510705     ), PROX_HAWKER = c(0.616195579705155, 0.594526114354717,      0.543600998034675, 0.543600998034675, 0.614574465644474,      0.368744432216956, 0.526313717816828, 0.494234864614673,      0.687117415591119, 0.591883114810231, 0.0623262564011618,      0.196699811405185, 0.558859907936318, 0.259744380023822,      0.908741650371918, 0.314632743063994, 0.906506968115566,      0.421987441153261, 0.410023469086153, 0.812377793689625),          PROX_MRT = c(0.52596302633555, 0.554399001312584, 0.5984056038899,          0.5984056038899, 0.544743966599557, 0.78040997284139,          0.907717901248049, 0.91242151857363, 0.86810604264512,          0.80807654444201, 1.09471398918577, 1.09046737609619,          0.633065114071651, 1.15842683571226, 0.669484450879797,          1.14211364891441, 0.626377719466395, 0.516121726350597,          1.23646610314009, 0.526269526678983), PROX_PARK = c(0.626908579085899,          0.61263038213259, 0.690393008756984, 0.690393008756984,          0.578916018382343, 0.808282577864154, 0.510337594738446,          1.09293299728603, 0.452373350223662, 1.13130385684233,          0.826294351272671, 0.604882226694947, 0.822296725898933,          1.00657829367171, 0.197084482081202, 0.997953552798557,          0.106198450905693, 1.01560706627581, 0.375073916060521,          0.467051942358664), PROX_GOOD_PRISCH = c(1.44855804010835,          1.40421671412888, 1.38840710840139, 1.38840710840139,          1.40445923276907, 1.199846441039, 1.05242409875061, 1.4206810513637,          1.15234422615158, 1.51127824976447, 0.993301788551023,          0.87937610392538, 1.88031331185984, 1.12709017589061,          1.59153495480405, 1.15731102426836, 1.71137279935344,          1.81228643023267, 0.706117631385061, 2.2131785217075),          PROX_MALL = c(0.644656189163291, 0.685823836221668, 0.638527944164543,          0.638527944164543, 0.685950169481642, 0.663851500718272,          0.756051767526383, 0.220538248250442, 0.907839978504126,          0.114469773448463, 0.450275200033962, 0.441232897113797,          0.43093778326398, 0.464767570965945, 0.873569112263515,          0.441630162720786, 0.808294932987377, 0.231229629812008,          0.445899708163642, 0.340751907865098), PROX_CHAS = c(0.155315138624813,          0.151788880767358, 0.0819899420632749, 0.0819899420632749,          0.170954716034814, 0.0710453772718398, 3.39583191183935e-08,          0.0703959269798554, 0.116614388177292, 0.0793642323922721,          0.071192987667569, 0.177420148260447, 0.0390568763467083,          0.272565000598528, 0.454068185577158, 0.327465416824022,          0.415210445937219, 0.23122963873357, 0.0764125853219005,          0.260152478655286), PROX_SUPERMARKET = c(0.18505229065347,          0.152401712794372, 0.123486578338512, 0.123486578338512,          0.171715993026927, 0.00115080458448496, 0.350225948243757,          0.220538485726081, 0.458729641056945, 0.114469867006585,          0.330151298165832, 0.320748009942088, 0.430936681100737,          0.464768447350912, 0.717910522287554, 0.441631117888638,          0.675617328849562, 0.231228589734032, 0.158655939798418,          0.363982132031921), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 2L, 1L, 0L,          1L, 1L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 2L,          2L, 2L, 2L, 4L, 3L, 2L, 2L, 4L, 4L, 5L, 4L, 1L, 1L, 1L,          1L, 5L, 5L, 3L), WITHIN_350M_BUS = c(10L, 12L, 10L, 10L,          14L, 12L, 10L, 13L, 10L, 10L, 15L, 11L, 11L, 15L, 5L,          13L, 8L, 9L, 8L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 5L,          5L, 5L, 4L, 4L, 6L, 4L, 6L, 4L, 5L, 6L, 4L, 3L, 4L, 4L,          5L, 5L, 6L), DNeighbour = c(0, 62.9130704948191, 72.1117422578568,          75.9753004654837, 90.3756041554868, 259.608808917818,          489.602730245255, 492.77448931696, 537.105310302012,          570.490437463661, 570.848372733972, 573.819557931964,          599.277568559924, 660.103230762007, 670.24326425971,          702.09540130106, 716.04863590053, 740.819408494219, 751.657454932242,          785.371795687997)), row.names = c("668", "447", "591",      "494", "560", "967", "129", "627", "921", "866", "513", "292",      "364", "577", "273", "718", "785", "317", "755", "696"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.987207203660088, 0.983209763714802, 0.981371093576846,      0.973691456354348, 0.793405623181322, 0.373772469705234,      0.367621216922004, 0.28334223418502, 0.223114299503889, 0.222489043903873,      0.217317775155876, 0.174519604450208, 0.08617954297429, 0.0738172406521827,      0.0403308539249354, 0.0284747644093811, 0.0121523046318866,      0.00705817473402152, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       818830871 
R squared (OOB):                  0.2540289 

$Forests[[669]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(492500, 378000, 380000,      410000, 352000, 380000, 360000, 377000, 388000, 355000, 370000,      430000, 385000, 345000, 650000, 4e+05, 358000, 363000, 340000,      655000), floor_area_sqm = c(108, 84, 93, 103, 84, 92, 83,      98, 98, 84, 84, 104, 91, 84, 104, 104, 84, 84, 84, 87), storey_order = c(2L,      3L, 3L, 2L, 2L, 1L, 3L, 3L, 2L, 3L, 3L, 2L, 1L, 1L, 3L, 2L,      3L, 4L, 1L, 1L), remaining_lease_mths = c(912, 799, 790,      799, 800, 767, 803, 735, 728, 782, 777, 781, 715, 789, 815,      783, 770, 780, 780, 1123), PROX_CBD = c(8.12312779702036,      8.15960948514705, 7.92065359752155, 8.31972436488376, 8.28689365911172,      8.01258306529517, 8.52567265657093, 8.07728506382532, 8.19895861369783,      7.37752466520609, 7.32999369210923, 7.27303659463988, 8.8262745849674,      7.23308787648785, 7.71625132507906, 6.8579883001408, 6.82164733234375,      6.82164733234375, 6.73119135364588, 9.39818328429371), PROX_ELDERLYCARE = c(1.71708078323557,      1.45090119588013, 1.44631042678071, 1.3912791419992, 1.3668692597991,      1.38923408288603, 1.23693676843424, 1.22552837794249, 1.1658248464307,      1.11141904944431, 1.04617467786566, 0.949520652768775, 0.896855030989675,      0.804640181087392, 1.13999552495818, 0.650979480304367, 0.729511559050305,      0.729511559050305, 0.709869492714774, 0.718190414835305),          PROX_HAWKER = c(0.581802643409563, 0.40344417957638,          0.646393168274836, 0.252588085280054, 0.269406334629514,          0.532883444787396, 0.0724679807682574, 0.503102516785602,          0.391405491562813, 1.06790139631185, 1.00458194418859,          0.905159668549179, 0.311054993693233, 0.727393295990439,          0.888477780938884, 0.732876252375814, 0.834207881424508,          0.834207881424508, 0.84617550022745, 0.640059738279374         ), PROX_MRT = c(0.142211914808532, 0.408889372474398,          0.434970780163821, 0.44379796826936, 0.467794692056616,          0.57194553577364, 0.510058766918036, 0.711885268750489,          0.707144761815547, 0.450606800129455, 0.446590670593176,          0.477339162120678, 0.17731989795878, 0.626719191507479,          0.227897729387739, 0.479854345281657, 0.401668294921849,          0.401668294921849, 0.447149108468339, 0.401734036242065         ), PROX_PARK = c(0.921087542045637, 0.650146210437373,          0.790688256163915, 0.59965919275643, 0.570592214216024,          0.580004121625521, 0.557643312318536, 0.413960848298732,          0.372450573927522, 1.30417314517193, 1.30043300411079,          1.28136359713013, 0.458605630557841, 1.17683143601381,          0.374132090410645, 1.26891760289394, 1.33915084667526,          1.33915084667526, 1.30601230217613, 0.220484561261844         ), PROX_GOOD_PRISCH = c(3.16123688190063, 2.95345383530684,          2.86596411907387, 3.04207330950824, 2.99359805566516,          2.75227504535898, 3.13534109620979, 2.66084492380109,          2.73491137460549, 2.87682745937193, 2.81856751915823,          2.72285479219865, 2.8424495793979, 2.53413597667736,          1.93537396204111, 2.57894825178105, 2.67483404440455,          2.67483404440455, 2.67147237000904, 2.27458198186913),          PROX_MALL = c(2.25269448786787, 2.20417563031698, 2.02812113432733,          2.10790194839897, 2.09618768409308, 2.11322307221905,          1.96281231550532, 2.0316459728171, 1.94983703099632,          1.52964479685301, 1.4733570331857, 1.40144317349524,          1.64561868645684, 1.33824767405872, 1.9342939090943,          0.985446043286547, 0.977306285381771, 0.977306285381771,          0.894914409230097, 1.45650167595406), PROX_CHAS = c(0.169904154790832,          0.102408834624747, 0.0418426354504526, 0.261198443001062,          0.229330661012247, 0.1333322783253, 0.169369143123463,          0.279534674537085, 0.293834776478611, 0.123680988169118,          0.100781853121145, 0.150676124399865, 0.221229860630612,          0.335243362149438, 0.147762521806201, 0.418063314797021,          0.389404577789016, 0.389404577789016, 0.468632365618207,          0.109789289200213), PROX_SUPERMARKET = c(0.496146947525001,          0.391977689272912, 0.6226371739075, 0.272257424647181,          0.266710264104055, 0.475213328012689, 0.169391527985645,          0.412975566732202, 0.293834967432244, 0.15284622075069,          0.154588063793208, 0.216512452964216, 0.221249484047241,          0.400791637001426, 0.185503456748824, 0.471666412940503,          0.457775852816324, 0.457775852816324, 0.541263540151477,          0.13637298984998), WITHIN_350M_KINDERGARTEN = c(2L, 1L,          2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 0L,          0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(1L, 2L, 3L,          3L, 2L, 2L, 3L, 2L, 3L, 5L, 4L, 4L, 2L, 2L, 3L, 1L, 1L,          1L, 2L, 6L), WITHIN_350M_BUS = c(8L, 7L, 6L, 9L, 7L,          6L, 8L, 6L, 7L, 9L, 8L, 7L, 5L, 4L, 6L, 3L, 4L, 4L, 4L,          6L), WITHIN_1KM_PRISCH = c(1L, 1L, 3L, 1L, 1L, 2L, 2L,          2L, 1L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 1L),          DNeighbour = c(0, 283.661982564025, 299.820923234062,          354.737085927707, 360.732366224508, 439.136755719019,          527.428323359481, 573.84575103608, 585.749055760154,          743.630400034752, 792.763851089821, 858.375625742503,          888.361689131446, 933.924616532218, 1262.2607090408,          1274.66374567235, 1298.6275003964, 1299.25773214135,          1393.35219023268, 1408.32242963237)), row.names = c("669",      "327", "1", "540", "266", "200", "404", "395", "29", "948",      "187", "611", "814", "171", "809", "168", "46", "322", "529",      "657"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.920507167482399,      0.91140796844009, 0.877132095371303, 0.873085803895205, 0.814995653556462,      0.739159048662824, 0.695506228412935, 0.683946855512717,      0.520113411681001, 0.466664243007231, 0.395021127620456,      0.362522742936503, 0.313864626403129, 0.0386791253977014,      0.0326905966013444, 0.0224142992419712, 0.0221678033671149,      0.000447182189806863, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7531711359 
R squared (OOB):                  0.07335411 

$Forests[[670]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(532000, 589000, 498000,      520000, 535000, 545000, 550000, 550000, 510000, 490000, 455000,      455000, 495000, 460000, 4e+05, 510000, 398000, 437000, 415000,      403000), floor_area_sqm = c(96, 96, 93, 93, 93, 93, 95, 98,      97, 95, 92, 93, 93, 92, 92, 92, 93, 93, 93, 92), storey_order = c(4L,      6L, 2L, 4L, 4L, 5L, 4L, 4L, 2L, 2L, 4L, 5L, 5L, 2L, 1L, 3L,      1L, 2L, 2L, 1L), remaining_lease_mths = c(1111, 1111, 1102,      1118, 1118, 1127, 1115, 1103, 1104, 1111, 1133, 1138, 1080,      1137, 1131, 1136, 1077, 1076, 1071, 1138), PROX_CBD = c(13.8842234613226,      13.8838492138892, 13.8269911518463, 13.7912064237251, 13.8964286142315,      13.8964286142315, 13.9206851659757, 13.7784857598507, 13.7787547800329,      13.7780295697528, 13.5263069451707, 13.5153222954464, 14.2035293519974,      13.9481332653994, 13.9748767742628, 14.0250110126613, 14.2040057462849,      14.2040057462849, 14.2040057462849, 13.9348601041022), PROX_ELDERLYCARE = c(0.284905700992106,      0.321249151015697, 0.272443342502121, 0.194902312085005,      0.28821019895416, 0.28821019895416, 0.410984632703067, 0.303554199654945,      0.357313426679343, 0.24280876806526, 0.13293861465481, 0.128038783583345,      0.685279068417721, 0.108372417523696, 0.0869602171534455,      0.0392522324995346, 0.732225931930739, 0.732225931930739,      0.732225931930739, 0.122633260073778), PROX_HAWKER = c(0.667389882084889,      0.661984274687099, 0.718894335359525, 0.761066408094757,      0.700607063348248, 0.700607063348248, 0.63246529422046, 0.771130061467184,      0.779750574682814, 0.855348356505915, 1.0232116664491, 1.06471945671836,      0.384064154962602, 0.783686601130967, 0.759405218095962,      0.732915378457501, 0.429643877236979, 0.429643877236979,      0.429643877236979, 0.848294615942255), PROX_MRT = c(0.172676244118343,      0.202599849124069, 0.250191496834268, 0.263976344610204,      0.214342865325431, 0.214342865325431, 0.247793554682504,      0.334453451125385, 0.373119808041594, 0.290902656750774,      0.529059791722705, 0.531733722241289, 0.289240493397468,      0.146013494832411, 0.16215489673441, 0.179377644983316, 0.339881548667158,      0.339881548667158, 0.339881548667158, 0.066674836544346),          PROX_PARK = c(0.946790994443363, 0.953674473627188, 1.00953333913803,          1.03946212768551, 0.945155408432775, 0.945155408432775,          0.9355470513087, 1.07038952907209, 1.07510958061046,          1.08412864631293, 1.00320858387115, 1.12627074536918,          0.69423802629866, 0.964943529987853, 0.93793434477989,          0.898948825756494, 0.735378016798131, 0.735378016798131,          0.735378016798131, 1.01289159319472), PROX_GOOD_PRISCH = c(4.46427355245829,          4.48950135049007, 4.43409233459216, 4.37243865161908,          4.42474408393319, 4.42474408393319, 4.55661004860153,          4.41640053984819, 4.43794264479214, 4.27934963146811,          4.12550653324601, 4.05859518452173, 4.84858590291698,          4.41058426346667, 4.4381077472328, 4.48326906164864,          4.87692111553996, 4.87692111553996, 4.87692111553996,          4.3780728039611), PROX_MALL = c(0.384398044205003, 0.415387276861254,          0.464449368072494, 0.47180896375681, 0.36232957329041,          0.36232957329041, 0.441605558767423, 0.546157830895501,          0.579723774298741, 0.507308338763366, 0.734460127270614,          0.741140095950697, 0.37351280301214, 0.431747484707969,          0.408666125180857, 0.387952579177684, 0.458083927679449,          0.458083927679449, 0.458083927679449, 0.500682206465503         ), PROX_CHAS = c(0.0936868185767241, 0.130388475133542,          0.093713435160417, 3.14247486029477e-08, 0.190952462752685,          0.190952462752685, 0.230184731543739, 0.171232412843018,          0.2330532561781, 0.246000912873009, 0.164485608616764,          0.0484693686848179, 0.170907589664044, 0.0812590805558053,          0.0955424375353944, 0.116095717847762, 0.0920652608940773,          0.0920652608940773, 0.0920652608940773, 3.70448785353559e-08         ), PROX_SUPERMARKET = c(0.093687407280864, 0.130388583033251,          0.0937132175773042, 8.52808058992138e-07, 0.190953240917096,          0.190953240917096, 0.23018467784701, 0.171231859107883,          0.233052713938452, 0.271122867675942, 0.265115106421715,          0.321659607097496, 0.170908382081647, 0.194128300134642,          0.205979542456043, 0.21237786594893, 0.0920659899308881,          0.0920659899308881, 0.0920659899308881, 0.112910168339451         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 0L, 0L, 1L, 0L, 0L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 5L, 4L, 4L, 4L,          4L, 5L, 4L, 4L, 5L, 4L, 5L, 3L, 4L, 5L, 5L, 5L, 5L, 5L         ), WITHIN_350M_BUS = c(7L, 9L, 8L, 8L, 9L, 9L, 13L, 7L,          11L, 9L, 2L, 6L, 9L, 7L, 6L, 9L, 9L, 9L, 9L, 11L), WITHIN_1KM_PRISCH = c(5L,          5L, 5L, 5L, 5L, 5L, 5L, 6L, 8L, 6L, 6L, 5L, 5L, 4L, 4L,          4L, 5L, 5L, 5L, 4L), DNeighbour = c(0, 82.3828420031367,          92.661017880851, 96.6571397858677, 174.345823201832,          176.424141895329, 188.104639590094, 188.197519102299,          246.277878111747, 306.098952556525, 361.565641995347,          407.264765092499, 412.856191726473, 413.934109160818,          419.651106041469, 443.326976018462, 466.232783998285,          467.223945887527, 470.095335163536, 489.674781091807)), row.names = c("670",      "723", "376", "420", "760", "442", "516", "837", "549", "282",      "779", "183", "66", "34", "690", "8", "448", "911", "272",      "356"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.944191818352458,      0.929666436621449, 0.923592112765378, 0.762535155257929,      0.757234588576891, 0.726645326573729, 0.726396844384042,      0.558083139622219, 0.371175449300026, 0.206839629815576,      0.0950288318302632, 0.08360378390236, 0.081468242250738,      0.070517670740069, 0.0325231285295477, 0.00873353492739372,      0.00802723553675441, 0.00614192191736387, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3778100375 
R squared (OOB):                  -0.1694895 

$Forests[[671]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(462000, 562000, 540000,      333000, 388800, 350000, 380000, 3e+05, 335000, 340000, 390000,      398000, 390000, 4e+05, 415000, 423800, 450000, 550000, 390000,      680000), floor_area_sqm = c(105, 107, 107, 89, 98, 92, 92,      92, 83, 92, 92, 92, 102, 91, 104, 104, 105, 93, 92, 87),          storey_order = c(1L, 7L, 6L, 1L, 2L, 4L, 4L, 2L, 3L,          1L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 3L, 1L, 6L), remaining_lease_mths = c(965,          957, 969, 692, 697, 688, 693, 691, 687, 699, 685, 714,          763, 783, 760, 756, 757, 1137, 711, 1076), PROX_CBD = c(10.9320040827019,          10.9472701195372, 11.0486323727393, 10.7178846249378,          10.7178846249378, 10.7428660694501, 10.7273754880637,          10.7273754880637, 10.5501175985891, 9.97016469840266,          10.3184291669162, 9.95525560808738, 11.6387779682198,          11.4963900230166, 11.6914583773846, 11.7174653186763,          11.4573592114175, 11.2116042179965, 9.71066487891121,          10.1126951054664), PROX_ELDERLYCARE = c(0.83761180429981,          0.867518349265545, 0.974567200018427, 0.903749132751209,          0.903749132751209, 1.00386291289403, 0.968089576161562,          0.968089576161562, 0.724362239545807, 0.14040561650552,          0.724299376510179, 0.150508443509651, 0.792216801753581,          0.672630859926948, 0.736997311630605, 0.74375074589335,          0.52883250894194, 0.369355324070756, 0.385358274245319,          0.511544492658224), PROX_HAWKER = c(0.499252912381913,          0.429153921265228, 0.436692566666558, 0.131164348467149,          0.131164348467149, 0.19921426515349, 0.259491073356982,          0.259491073356982, 0.496328097640832, 0.15909114400288,          0.285348407142059, 0.153089379504462, 0.61454926069889,          0.804785607263954, 0.558671781535233, 0.5637831570093,          0.848364442784946, 1.02311573056961, 0.39402887106119,          0.268370020499938), PROX_MRT = c(0.582189406643083, 0.638393210693291,          0.741783227751877, 0.897030842789514, 0.897030842789514,          0.911557541227745, 0.880392787161762, 0.880392787161762,          0.92637591011884, 0.494111782173202, 0.752281430413819,          0.521845664201362, 0.0844107562606101, 0.132306565433056,          0.140110279979828, 0.162940637784707, 0.275269590424193,          0.524888394814585, 0.746020760246364, 0.549740095282867         ), PROX_PARK = c(0.802226928628916, 0.730900012581548,          0.644279497097323, 0.68415716278098, 0.68415716278098,          0.65460215425144, 0.675703893946554, 0.675703893946554,          0.888350706343443, 0.68588072489708, 1.05219739289641,          0.730503149795042, 1.51709061898346, 1.41209410927924,          1.50772581466401, 1.5229705853841, 1.3775538710324, 1.15338615463339,          0.914740437498633, 0.878497256111703), PROX_GOOD_PRISCH = c(1.4460454342776,          1.50789829567152, 1.50173151878208, 1.69245386393467,          1.69245386393467, 1.57772010642862, 1.51964159199475,          1.51964159199475, 1.37609088117382, 1.97396491196204,          1.54472866778257, 2.01039924795066, 0.453346371612442,          0.364349890680966, 0.476923220580037, 0.440184840714675,          0.277148461253506, 0.456074275886943, 2.31351362539819,          1.46177539101005), PROX_MALL = c(1.37776203899083, 1.34630282297423,          1.41292867182356, 0.922177591154216, 0.922177591154216,          0.913300066979642, 0.885934538444454, 0.885934538444454,          0.693136328895784, 0.802483711672914, 0.472532088410597,          0.757457219803541, 0.815834004295584, 0.844787863205902,          0.797799046209296, 0.750703947848918, 0.815329638117364,          1.01522535242687, 0.505770857705003, 0.269774803261538         ), PROX_CHAS = c(0.293630149165848, 0.344403926608958,          0.375455350402476, 0.141741960002869, 0.141741960002869,          0.184868017131885, 0.161497017697243, 0.161497017697243,          0.120595382532287, 0.187394625423847, 0.165961529218061,          0.144412947448491, 0.0804697697946077, 0.0697008731150885,          0.0474151678735614, 4.64133788220832e-08, 0.179820414455961,          0.206252010873132, 0.255589678637005, 0.20472250196774         ), PROX_SUPERMARKET = c(0.445162931243089, 0.381194313170787,          0.408205375796458, 0.141741503991008, 0.141741503991008,          0.247977273863763, 0.294310303883692, 0.294310303883692,          0.448117335537485, 0.215556112381702, 0.447507928623339,          0.204623167766534, 0.596048194106483, 0.441950593919319,          0.635527990773791, 0.609798994765399, 0.301981775400679,          0.222574928361305, 0.363062686357781, 0.35798039621586         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 1L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(0L, 0L, 0L, 4L, 4L, 3L,          3L, 3L, 2L, 3L, 4L, 3L, 3L, 2L, 3L, 3L, 4L, 4L, 2L, 6L         ), WITHIN_350M_BUS = c(0L, 2L, 2L, 6L, 6L, 5L, 4L, 4L,          6L, 9L, 7L, 9L, 6L, 8L, 6L, 5L, 7L, 6L, 13L, 6L), WITHIN_1KM_PRISCH = c(4L,          4L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 5L, 4L, 3L, 3L, 3L,          3L, 3L, 2L, 4L, 3L), DNeighbour = c(0, 78.1675569921705,          162.865745517955, 581.974633894802, 590.021368515563,          687.743779777355, 748.99561895383, 753.667570920227,          970.733940901854, 976.305401480225, 980.090452337633,          985.772964391935, 1081.6877750986, 1086.47581370741,          1096.08624088178, 1142.59813463824, 1183.99992521885,          1218.3705759806, 1224.11644020614, 1254.88402750535)), row.names = c("671",      "255", "630", "914", "429", "43", "651", "648", "778", "211",      "97", "971", "522", "151", "274", "941", "843", "347", "776",      "316"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.992254802200705,      0.966595179823909, 0.616098706134991, 0.606733144842901,      0.489492197043202, 0.414417760239734, 0.408697765797458,      0.161280721360041, 0.155795211583539, 0.152105150376779,      0.146622119831311, 0.0660421005180504, 0.0626972515719333,      0.0562042034498738, 0.0292244802833726, 0.0120521795602122,      0.00328873637190934, 0.00234598771945825, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5619061307 
R squared (OOB):                  0.3649562 

$Forests[[672]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(468000, 420000, 455000,      450000, 458888, 460000, 422000, 510000, 485000, 460000, 452000,      425000, 440000, 430000, 475000, 390000, 426888, 323000, 382000,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      95, 92, 92, 92, 92, 92, 92, 90, 92, 90, 86, 90), storey_order = c(4L,      2L, 4L, 3L, 4L, 3L, 2L, 5L, 5L, 5L, 2L, 4L, 2L, 1L, 2L, 5L,      1L, 1L, 2L, 4L), remaining_lease_mths = c(1124, 1139, 1136,      1136, 1130, 1137, 1132, 1133, 1141, 1136, 1133, 988, 1136,      1134, 1126, 978, 1141, 983, 989, 973), PROX_CBD = c(12.5372560863306,      12.4951121122816, 12.5530445309639, 12.6444338023734, 12.6444338023734,      12.6444338023734, 12.6523002899419, 12.8180148044036, 12.8190940082697,      12.5778468618744, 12.8941535537835, 12.1902934701837, 12.6445046545469,      12.5852639843962, 12.6532888174316, 12.4059518996545, 12.5841594105866,      12.0200214112876, 12.3082954752684, 11.9491294576901), PROX_ELDERLYCARE = c(0.066903342124331,      0.0780281999502717, 4.52036057904239e-07, 0.0933099122535032,      0.0933099122535032, 0.0933099122535032, 0.17445131765005,      0.265081039187363, 0.268492105828742, 0.25879478544564, 0.346816364720296,      0.362754738306624, 0.316798451576888, 0.3637938018331, 0.373604611296459,      0.404564014080405, 0.419823195233641, 0.618171206910468,      0.583230122785789, 0.351349913726565), PROX_HAWKER = c(0.184899994018696,      0.227760265989261, 0.183834631869038, 0.0943584031018698,      0.0943584031018698, 0.0943584031018698, 0.228019105088385,      0.116173376637396, 0.146347761938812, 0.361759384229333,      0.172433027954251, 0.536726116414185, 0.385855619963418,      0.45815519033126, 0.440383933038266, 0.551023632791116, 0.512822421809829,      0.743318510800665, 0.732610931237137, 0.693645859237657),          PROX_MRT = c(0.250680884626282, 0.288636635543175, 0.225183269009929,          0.135663244459145, 0.135663244459145, 0.135663244459145,          0.189124878414716, 0.0414043955932523, 0.0524349257152741,          0.325317058740364, 0.133852264483784, 0.364194860258715,          0.290856617513635, 0.305105021876954, 0.24828698655044,          0.467412150427879, 0.285300897266269, 0.291532437270123,          0.348338435446781, 0.207404211118571), PROX_PARK = c(0.614568616662392,          0.64692671777276, 0.665189387379371, 0.61385987529272,          0.61385987529272, 0.61385987529272, 0.76865606278053,          0.594833919624026, 0.639036828502152, 0.898636927133822,          0.541994755536806, 0.883674706708426, 0.927332929158558,          0.998305920751222, 0.981635622560504, 1.06942514246801,          1.05356492524152, 0.871053837980522, 1.248380402738,          1.42337349535551), PROX_GOOD_PRISCH = c(2.87119716545371,          2.83249303987555, 2.90013878468328, 2.98554640042679,          2.98554640042679, 2.98554640042679, 3.02962689364369,          3.15789060893291, 3.16783392704602, 2.98751376551561,          3.22227453062783, 2.54749739008747, 3.06407026512831,          3.02473222579279, 3.08870420529617, 2.85954585658161,          3.04090040576321, 2.31713852475231, 2.82059786507503,          2.48771655129493), PROX_MALL = c(0.863947607104433, 0.848059510883206,          0.801147315442336, 0.835997866672575, 0.835997866672575,          0.835997866672575, 0.680457081346124, 0.881741038155881,          0.842111664425906, 0.550769417999913, 0.965068597681967,          0.835543217968543, 0.525247230278188, 0.450387082903272,          0.475487624694748, 0.423524868376446, 0.39575302739997,          0.859289251142989, 0.312386349772529, 0.591401580344059         ), PROX_CHAS = c(0.0439945201117045, 3.19858778746232e-08,          0.0780281620295796, 0.102096070463208, 0.102096070463208,          0.102096070463208, 0.162820120107843, 0.0772642002388838,          0.0812086980787344, 0.236995708134403, 0.115846127710365,          0.167384851183216, 0.312339613016365, 0.324614821605945,          0.362882313204726, 0.187639553192951, 0.369996201265779,          0.310908028614088, 0.200650927390068, 0.136369833447508         ), PROX_SUPERMARKET = c(0.218453608018692, 0.255060837787685,          0.189775839444753, 0.102095775430648, 0.102095775430648,          0.102095775430648, 0.162819600148508, 0.0772646744727167,          0.0812089624400091, 0.299832635957983, 0.115845823699909,          0.552359009160243, 0.312339147167174, 0.389269910824952,          0.36465940083402, 0.375814638453933, 0.385003628727568,          0.507879796624066, 0.200651971059786, 0.234851160706955         ), WITHIN_350M_KINDERGARTEN = c(1L, 3L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 0L, 0L, 2L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 7L, 7L, 7L, 7L,          6L, 6L, 7L, 5L, 5L, 3L, 5L, 4L, 5L, 4L, 4L, 1L, 4L, 6L         ), WITHIN_350M_BUS = c(10L, 10L, 11L, 10L, 10L, 10L,          11L, 9L, 9L, 8L, 6L, 12L, 11L, 11L, 11L, 10L, 10L, 6L,          8L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 3L, 4L, 4L, 3L, 3L, 4L, 4L, 4L, 5L, 5L, 4L, 6L, 7L         ), DNeighbour = c(0, 44.4000865664758, 66.0062060548789,          113.279992465042, 113.45585569553, 113.781831613234,          235.125870615361, 282.260299074497, 300.28028356408,          321.110927194173, 350.829579522463, 352.487664842099,          379.406962755701, 426.871091357119, 440.386625383772,          458.355374122121, 481.069239569253, 575.926020207935,          631.738285328832, 829.217521248874)), row.names = c("672",      "791", "764", "166", "807", "92", "311", "115", "44", "355",      "371", "783", "144", "180", "759", "138", "868", "909", "231",      "175"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994274180185908,      0.987367639446313, 0.963023317414561, 0.962909503893052,      0.962698092771806, 0.845661489076448, 0.781689797319781,      0.75492739889224, 0.722569294707795, 0.674039352256758, 0.67125742982004,      0.625126898146776, 0.540215424998527, 0.5154473555798, 0.482275042427976,      0.440136451229654, 0.267922223078628, 0.17605288801131, 0     ), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1020775041 
R squared (OOB):                  0.4387009 

$Forests[[673]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340888, 355000, 417000,      335000, 392000, 388000, 343000, 333000, 363000, 375000, 3e+05,      335000, 320000, 385000, 415000, 335000, 325000, 355000, 315000,      330000), floor_area_sqm = c(107, 104, 92, 114, 113, 104,      107, 108, 104, 108, 106, 105, 91, 104, 104, 90, 90, 106,      90, 91), storey_order = c(4L, 4L, 2L, 3L, 2L, 6L, 2L, 4L,      5L, 2L, 2L, 2L, 8L, 1L, 2L, 3L, 5L, 1L, 5L, 1L), remaining_lease_mths = c(883,      882, 1120, 904, 933, 904, 907, 895, 918, 909, 941, 938, 995,      863, 875, 979, 992, 825, 1001, 987), PROX_CBD = c(16.7669966667855,      16.7669966667855, 16.7161737209409, 16.3642048862006, 16.6579104452557,      16.3777502460772, 17.2160129653012, 16.5397910410307, 16.295166477654,      16.9875722318911, 17.3741762112269, 17.3741762112269, 16.7093180086981,      16.2492480828887, 15.8781143296649, 17.0600275230943, 17.2610384590751,      15.6983328737326, 16.8082045368238, 17.2817356498826), PROX_ELDERLYCARE = c(0.121542639162494,      0.121542639162494, 9.26628957858198e-07, 0.361422596457277,      0.409372351007212, 0.465083314136851, 0.574386357445605,      0.706939892416911, 0.514795208711411, 0.636322412867891,      0.815153211361198, 0.815153211361198, 0.935779967581661,      0.836071823435323, 0.633288957745621, 1.09431476347566, 1.12094638660826,      0.587171684565488, 1.15380285023885, 1.19353475005496), PROX_HAWKER = c(2.05474291859885,      2.05474291859885, 1.96687058888139, 1.67761333691466, 1.80129318596364,      1.54627052523026, 2.37357884684332, 2.14655926815246, 1.47281657351752,      2.10596394293278, 2.50067722531469, 2.50067722531469, 1.82495077083007,      2.17952287051713, 1.79301822351461, 2.18272534115171, 2.37726799660773,      1.64071314431986, 1.94950915107796, 2.40388099430384), PROX_MRT = c(0.53300655679357,      0.53300655679357, 0.427108887982576, 0.653367521351592, 0.128609360773056,      0.419412974707088, 0.453815632281196, 0.460645764817668,      0.504795745143921, 0.252669932820992, 0.590831178240684,      0.590831178240684, 0.522077155701705, 0.290093838525113,      0.159697283923578, 0.673816738147829, 0.729621307242001,      0.341199960643831, 0.730447684580082, 0.797812759521718),          PROX_PARK = c(0.722711239268322, 0.722711239268322, 0.688779163701323,          0.32735774848914, 0.826869373992433, 0.571339732684777,          1.24959985284921, 0.711243459523284, 0.48638578612152,          1.18807543108152, 1.47164498360674, 1.47164498360674,          1.17885821480356, 0.886796559947336, 0.678969217742802,          1.5130077643247, 1.64853798443183, 0.686441032296595,          1.39545287332227, 1.70244245234235), PROX_GOOD_PRISCH = c(7.13952904562396,          7.13952904562396, 7.12110535783693, 6.76031366250815,          7.18541951227303, 6.89348817522951, 7.68034428555912,          6.77397603493671, 6.80828229467371, 7.55033959010056,          7.888904100652, 7.888904100652, 7.40748446052123, 6.4097782056775,          6.09357654169244, 7.76907239486735, 7.93716312588154,          5.93514971647738, 7.5739079893598, 7.98012169831377),          PROX_MALL = c(0.27529824968273, 0.27529824968273, 0.337595745740984,          0.388175183991252, 0.168053149288668, 0.427317836890542,          0.413606644895247, 0.345326846187852, 0.510483215269896,          0.165557901737932, 0.521008948961951, 0.521008948961951,          0.484270435079706, 0.355568776497803, 0.145699923430919,          0.597930181439745, 0.644198936007264, 0.310729806849059,          0.677813655888015, 0.713200150273906), PROX_CHAS = c(0.222759343861358,          0.222759343861358, 0.279591917356114, 0.380772978950647,          0.170995488718356, 0.429996386722335, 0.303266380929536,          0.286223989121013, 0.513107963149175, 0.194474796894964,          0.524369302913132, 0.524369302913132, 0.52365796939069,          0.121251060497272, 0.0723222156351423, 0.638199243310692,          0.678651577140463, 0.261893114523038, 0.71936188995133,          0.748586514709626), PROX_SUPERMARKET = c(0.243987988302975,          0.243987988302975, 0.344537051235884, 0.422789252098693,          0.103652200866821, 0.386156989530241, 0.387759857324111,          0.377165028023417, 0.471223408024363, 0.284398337107734,          0.559408220033625, 0.559408220033625, 0.555366708418936,          0.350013224352412, 0.157892159590583, 0.718466194952364,          0.771245719522698, 0.322774913149109, 0.768274584157999,          0.842475689687135), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L,          1L, 0L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L,          6L, 4L, 5L, 3L, 5L, 1L, 3L, 4L, 4L, 4L, 1L, 4L, 3L, 2L,          3L, 4L, 1L, 3L), WITHIN_350M_BUS = c(11L, 11L, 12L, 6L,          9L, 8L, 5L, 2L, 7L, 11L, 2L, 2L, 8L, 9L, 7L, 7L, 5L,          8L, 9L, 5L), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 3L, 4L,          4L, 4L, 3L, 3L, 4L, 4L, 4L, 3L, 3L, 3L, 2L, 2L, 3L, 2L,          2L), DNeighbour = c(0, 3.82411095314203, 122.464887612158,          404.721656455346, 526.019866263614, 575.881801261892,          595.500366921426, 616.761049600085, 624.878386127711,          724.138794831745, 849.240370086226, 851.953256397034,          1050.47169141625, 1064.06529564269, 1147.15130842744,          1190.35389829078, 1201.61120968308, 1255.68450862112,          1259.22689994085, 1273.11831950911)), row.names = c("673",      "898", "261", "252", "918", "820", "326", "498", "451", "125",      "813", "822", "156", "711", "510", "208", "525", "196", "121",      "127"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999981955225032,      0.981579488001564, 0.808094772381549, 0.687716821638164,      0.632643514472472, 0.610289801137143, 0.585697942145174,      0.576218770269558, 0.45762019042259, 0.308066267779131, 0.304913554634792,      0.10187700670846, 0.0908706226489341, 0.0353806723064673,      0.0158236851294008, 0.0119200715238335, 0.000739842931058676,      0.000471046745792943, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       583923207 
R squared (OOB):                  0.4607813 

$Forests[[674]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(5e+05, 565000, 648000,      448000, 670000, 588000, 410000, 630000, 638000, 439000, 560000,      485000, 516000, 548000, 430000, 440000, 450000, 430000, 435000,      408000), floor_area_sqm = c(105, 103, 116, 105, 94, 95, 97,      102, 102, 97, 104, 103, 98, 95, 102, 92, 92, 93, 98, 91),          storey_order = c(2L, 4L, 4L, 1L, 6L, 3L, 4L, 6L, 9L,          3L, 3L, 2L, 3L, 2L, 3L, 3L, 1L, 3L, 1L, 3L), remaining_lease_mths = c(857,          852, 871, 866, 1104, 1025, 665, 870, 869, 669, 851, 855,          698, 981, 869, 677, 679, 728, 692, 674), PROX_CBD = c(8.19182633034048,          8.19182633034048, 8.27332873959955, 8.05276498978228,          8.58683984966127, 8.51090417959469, 8.66747718420982,          7.86314261154951, 7.86314261154951, 8.73211086874077,          7.6651195249001, 7.70120549943486, 8.70928269501252,          8.37940280964872, 8.77938926255451, 8.7589377611275,          8.7589377611275, 8.20083785223568, 8.85689554561162,          8.96374942103709), PROX_ELDERLYCARE = c(0.444818640633349,          0.444818640633349, 0.354571010374291, 0.599632276485302,          0.203840329735754, 0.120425912751251, 0.0441159965049124,          0.731462959428347, 0.731462959428347, 0.292319821872094,          0.216787702409289, 0.883817181840043, 0.119444653145476,          0.335901694998922, 0.374310234303432, 0.169235371196244,          0.169235371196244, 0.41240614163537, 0.272187629818594,          0.267188539522683), PROX_HAWKER = c(0.553760551741158,          0.553760551741158, 0.610975272844239, 0.560005371648267,          0.433030813326955, 0.166697492306482, 0.357845486047337,          0.573870222021737, 0.573870222021737, 0.436547444862961,          0.778265933598076, 0.72907919143595, 0.281172749103646,          0.203869560106314, 0.0530841043788875, 0.330091511745513,          0.330091511745513, 0.35604829505958, 0.446318851105742,          0.393731145214296), PROX_MRT = c(1.08457427678223, 1.08457427678223,          1.0936063211659, 1.12051759514643, 0.751078096441513,          0.608243230971526, 0.874328108605637, 0.85984195598231,          0.85984195598231, 0.600073719023998, 0.910191895307983,          0.692418360175919, 0.379410256905797, 0.62312262100292,          1.18818107396501, 0.338391484905848, 0.338391484905848,          0.805467939952349, 0.372678744867538, 0.71987240697712         ), PROX_PARK = c(0.374102285306053, 0.374102285306053,          0.477465658778908, 0.30128672956265, 0.52118662053352,          0.368529270986479, 0.691303172853456, 0.281207712521794,          0.281207712521794, 0.617507126900098, 0.361681715476141,          0.450335295656325, 0.513364518506117, 0.394842599629624,          0.700959888788064, 0.469340752260783, 0.469340752260783,          0.393072899865764, 0.479885299937475, 0.60552725382935         ), PROX_GOOD_PRISCH = c(0.769163347741007, 0.769163347741007,          0.856939381531897, 0.631981624625733, 1.16640042723588,          1.13331232297991, 1.23754792076915, 0.562813849840511,          0.562813849840511, 1.31940815963163, 0.353240700451805,          0.490611064856358, 1.35677240305411, 1.14854892992093,          0.963274696928036, 1.40615721612308, 1.40615721612308,          1.04754826657838, 1.47413984574199, 1.13785719900195),          PROX_MALL = c(0.997182626507123, 0.997182626507123, 0.991200103712322,          1.07178760783233, 0.632538285087724, 0.540250505232014,          0.740457696387364, 0.943364056194349, 0.943364056194349,          0.469553394647833, 0.987031177772312, 0.779066462317335,          0.313890580083005, 0.651389947232486, 0.946404029132472,          0.264395031718586, 0.264395031718586, 0.844084234929545,          0.241772845363545, 0.480317195978648), PROX_CHAS = c(0.311461966699573,          0.311461966699573, 0.413431749899638, 0.167974733321899,          0.237191200694799, 0.0869956868442428, 0.34300149800099,          0.201852081003395, 0.201852081003395, 0.0664211666443358,          0.371562543403755, 0.0405139203460024, 0.112175615725657,          0.11938167830482, 0.064920565519497, 0.0806835690144568,          0.0806835690144568, 0.0460460495231756, 0.157458356405151,          0.143131544605207), PROX_SUPERMARKET = c(0.485938543293979,          0.485938543293979, 0.502190497784501, 0.372458117254617,          0.35437102597818, 0.0869967242830128, 0.158725757407685,          0.115543350477338, 0.115543350477338, 0.350370254212894,          0.176585087131714, 0.0588346413192393, 0.221335227738319,          0.282093113359979, 0.239175324970861, 0.24726445439454,          0.24726445439454, 0.436961702644775, 0.224853982916395,          0.181164390242962), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 3L, 1L, 2L, 0L, 4L, 4L, 1L, 0L, 4L, 2L, 1L, 1L,          2L, 2L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          4L, 3L, 5L, 6L, 2L, 3L, 3L, 6L, 1L, 4L, 7L, 4L, 2L, 8L,          8L, 2L, 7L, 4L), WITHIN_350M_BUS = c(7L, 7L, 8L, 5L,          4L, 5L, 5L, 2L, 2L, 7L, 5L, 4L, 6L, 6L, 4L, 6L, 6L, 7L,          7L, 6L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L, 2L, 3L,          2L, 2L, 2L, 3L, 0L, 2L, 4L, 3L, 2L, 3L, 3L, 2L, 3L, 2L         ), DNeighbour = c(0, 7.01855873698456, 118.213284598035,          159.872874994149, 409.289735778087, 476.943729662904,          478.895259973584, 508.660644160261, 508.998892394671,          569.992934884913, 587.961219966903, 663.28404674363,          697.868024974318, 708.774084124433, 718.640007800385,          742.917804461367, 745.235613860759, 757.38458699835,          762.799069008797, 775.593764921356)), row.names = c("674",      "128", "795", "635", "149", "94", "331", "476", "931", "842",      "935", "811", "446", "998", "606", "386", "194", "79", "397",      "692"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999836228067888,      0.954078092533857, 0.916826482910405, 0.520591963042506,      0.386695728639476, 0.382848730965047, 0.32476545109027, 0.324113573220524,      0.21151241428402, 0.180894104400888, 0.0721680996888345,      0.0362468483101277, 0.0271865835822934, 0.02001449412709,      0.0068038651522815, 0.00589080146202269, 0.0021533542732317,      0.00107067385415067, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6251093020 
R squared (OOB):                  0.1830536 

$Forests[[675]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(426000, 395000, 431000,      425000, 410000, 395000, 420000, 428000, 325000, 3e+05, 360000,      333000, 295000, 330000, 355000, 285000, 308000, 330000, 292000,      3e+05), floor_area_sqm = c(92, 92, 92, 92, 92, 90, 90, 90,      84, 84, 99, 103, 106, 103, 103, 92, 84, 103, 104, 99), storey_order = c(6L,      4L, 9L, 6L, 2L, 5L, 8L, 8L, 2L, 2L, 2L, 2L, 1L, 2L, 3L, 1L,      1L, 2L, 2L, 1L), remaining_lease_mths = c(1012, 1010, 1010,      1006, 1004, 1010, 1011, 1008, 783, 797, 796, 788, 825, 800,      793, 697, 795, 937, 828, 697), PROX_CBD = c(14.0324943086614,      14.0603534116893, 14.0603534116893, 14.0603534116893, 14.000256381606,      13.990153115514, 13.8798013735997, 13.8412030491349, 14.1279251783367,      14.3169519114025, 13.8977069202737, 14.3532733654858, 14.7220636963442,      13.46147060752, 13.46147060752, 14.6519123293037, 13.3304860768802,      14.5165027597446, 15.1374510187917, 14.8036441916204), PROX_ELDERLYCARE = c(1.51384309451853,      1.50084223071099, 1.50084223071099, 1.50084223071099, 1.50178268661881,      1.56992496550613, 1.77270985488013, 1.74703283433278, 1.66641228888996,      1.55261218152075, 1.56746404607568, 1.6760601574403, 0.327768156942021,      1.01995663096129, 1.01995663096129, 0.254409923718011, 0.85382998667073,      0.389463724969334, 0.426629771798313, 0.0965145667339982),          PROX_HAWKER = c(1.73133481154049, 1.69193386873811, 1.69193386873811,          1.69193386873811, 1.77005964815816, 1.69002608854433,          1.47024255459416, 1.43519165592487, 1.24304803992561,          1.19367588944735, 1.04237506554324, 0.99569743308136,          1.39864823048803, 1.03983060555389, 1.03983060555389,          1.21550185558774, 1.09459947163448, 1.0617726338971,          1.49196951764411, 1.07372228066705), PROX_MRT = c(0.85175230125279,          0.836549486170002, 0.836549486170002, 0.836549486170002,          0.865600228728207, 0.789673249073619, 0.523014705157119,          0.462396576385451, 0.59155533687368, 0.753004841751307,          0.300373388684648, 0.756418829435307, 0.0523025726452692,          0.367668143276235, 0.367668143276235, 0.218405848235923,          0.525688124362732, 0.0901878473788138, 0.164193456307044,          0.363746184676816), PROX_PARK = c(0.65310707550057, 0.66093693759156,          0.66093693759156, 0.66093693759156, 0.652876507033438,          0.716145735764812, 0.782127938386311, 0.752068597068081,          1.00515750023779, 1.00962818739137, 0.782220037546154,          1.20426051281307, 0.432331111477529, 0.582693033366388,          0.582693033366388, 0.325486875199719, 0.620743454357064,          0.278686390612803, 0.786093050092807, 0.497172938499345         ), PROX_GOOD_PRISCH = c(4.07805978762992, 4.09775909461572,          4.09775909461572, 4.09775909461572, 4.05408625233137,          4.0269654833207, 3.87304276717541, 3.82728738248792,          4.09179045416031, 4.27446656255715, 3.83525569342672,          4.29145341198416, 4.99661753747661, 3.38131302543864,          3.38131302543864, 4.99149337529414, 3.24954726475941,          4.93093863547281, 5.37568176340172, 5.17691715074399),          PROX_MALL = c(1.34360210764349, 1.38265334141638, 1.38265334141638,          1.38265334141638, 1.30130189944441, 1.32125061115982,          1.33861894221302, 1.33339622609195, 1.48884664162065,          1.50622914679999, 1.14150204308926, 1.45738633765159,          0.343882807046916, 0.644549177151603, 0.644549177151603,          0.377416550632833, 0.513372166694422, 0.38830118917563,          0.249545786638779, 0.278400001713995), PROX_CHAS = c(0.288579392766018,          0.266609427013402, 0.266609427013402, 0.266609427013402,          0.313291309929199, 0.231188025602735, 0.058882652003164,          0.116038559859119, 0.283027750434604, 0.149961616171305,          0.162936326565904, 0.0428610630237518, 0.141205029857343,          0.348399033159575, 0.348399033159575, 0.0736014920224838,          0.472814153962233, 0.0918929757518676, 0.193150290660334,          0.190291087196022), PROX_SUPERMARKET = c(0.288579392767071,          0.266609427014493, 0.266609427014493, 0.266609427014493,          0.313291309930196, 0.231188025603748, 0.0588826520022197,          0.116038559858059, 0.283027750434408, 0.277976240278344,          0.162936951836525, 0.400567683079086, 0.141204847242777,          0.356146193343619, 0.356146193343619, 0.128878263549785,          0.510727353781082, 0.354026220875794, 0.200567401454574,          0.190291125096353), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 3L, 0L, 2L, 0L, 1L, 1L,          1L, 1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 1L, 1L, 1L, 2L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L,          4L, 5L, 5L, 3L), WITHIN_350M_BUS = c(4L, 4L, 4L, 4L,          3L, 4L, 5L, 5L, 10L, 9L, 5L, 10L, 8L, 6L, 6L, 9L, 5L,          7L, 11L, 9L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L,          2L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 2L,          3L), DNeighbour = c(0, 40.8276676965593, 42.540825064358,          44.4870155788384, 52.8825756909387, 58.8034482158262,          330.607624334067, 392.068819355512, 486.292150404192,          597.530308463644, 754.230004757465, 791.362368314239,          1190.09055465639, 1211.90223542439, 1219.79669964563,          1312.13848199198, 1376.08106233088, 1424.46391014157,          1437.83608354525, 1495.55840356924)), row.names = c("675",      "805", "55", "241", "726", "276", "877", "678", "893", "650",      "479", "697", "786", "526", "332", "986", "61", "592", "387",      "995"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99851005401563,      0.998382443990682, 0.998231123127204, 0.997500939021308,      0.996910465872105, 0.904653278037778, 0.867272210075517,      0.799723391068175, 0.706222596169319, 0.556020897587972,      0.518412995193308, 0.134529024791656, 0.117894964720782,      0.112074720307703, 0.0530127016479433, 0.0235297555819322,      0.00861451355213973, 0.00573079653434845, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1087095856 
R squared (OOB):                  0.6230222 

$Forests[[676]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 375000, 420000,      335000, 548000, 430000, 370000, 516000, 440000, 450000, 588000,      720000, 705000, 640000, 435000, 638000, 630000, 640000, 439000,      485000), floor_area_sqm = c(92, 92, 91, 91, 95, 93, 92, 98,      92, 92, 95, 91, 91, 90, 98, 102, 102, 91, 97, 103), storey_order = c(1L,      2L, 1L, 3L, 2L, 3L, 4L, 3L, 3L, 1L, 3L, 3L, 3L, 1L, 1L, 9L,      6L, 3L, 3L, 2L), remaining_lease_mths = c(695, 695, 742,      754, 981, 728, 699, 698, 677, 679, 1025, 1079, 1097, 1095,      692, 869, 870, 992, 669, 855), PROX_CBD = c(8.46158045860266,      8.4016901584654, 8.31995738049774, 8.32334928378694, 8.37940280964872,      8.20083785223568, 8.34406204250889, 8.70928269501252, 8.7589377611275,      8.7589377611275, 8.51090417959469, 9.2692311101123, 9.2692311101123,      9.29204667907952, 8.85689554561162, 7.86314261154951, 7.86314261154951,      9.30017281297198, 8.73211086874077, 7.70120549943486), PROX_ELDERLYCARE = c(0.0854535518544851,      0.150390524199432, 0.259768432786295, 0.163895949541214,      0.335901694998922, 0.41240614163537, 0.224798473876808, 0.119444653145476,      0.169235371196244, 0.169235371196244, 0.120425912751251,      0.751834464907999, 0.751834464907999, 0.771441336950035,      0.272187629818594, 0.731462959428347, 0.731462959428347,      0.677643973897152, 0.292319821872094, 0.883817181840043),          PROX_HAWKER = c(0.266645682444034, 0.205000896629144,          0.387410687724852, 0.1672780527947, 0.203869560106314,          0.35604829505958, 0.308707066729857, 0.281172749103646,          0.330091511745513, 0.330091511745513, 0.166697492306482,          0.13065395668809, 0.13065395668809, 0.172288624542473,          0.446318851105742, 0.573870222021737, 0.573870222021737,          0.445284816601654, 0.436547444862961, 0.72907919143595         ), PROX_MRT = c(0.681495718287031, 0.747297636603152,          0.705543842504761, 1.03738004469153, 0.62312262100292,          0.805467939952349, 1.14033242259394, 0.379410256905797,          0.338391484905848, 0.338391484905848, 0.608243230971526,          0.513894886157587, 0.513894886157587, 0.459210746913958,          0.372678744867538, 0.85984195598231, 0.85984195598231,          0.258716275079725, 0.600073719023998, 0.692418360175919         ), PROX_PARK = c(0.773425606080498, 0.784786352249359,          0.517920409018535, 0.839050716088865, 0.394842599629624,          0.393072899865764, 0.748901820021747, 0.513364518506117,          0.469340752260783, 0.469340752260783, 0.368529270986479,          0.421166514654472, 0.421166514654472, 0.354651430366215,          0.479885299937475, 0.281207712521794, 0.281207712521794,          0.166211588513849, 0.617507126900098, 0.450335295656325         ), PROX_GOOD_PRISCH = c(1.4534383809239, 1.42922442943649,          1.20021801549651, 1.6197212814627, 1.14854892992093,          1.04754826657838, 1.74338078296013, 1.35677240305411,          1.40615721612308, 1.40615721612308, 1.13331232297991,          2.13343245969583, 2.13343245969583, 2.10961489740732,          1.47413984574199, 0.562813849840511, 0.562813849840511,          1.82000438656186, 1.31940815963163, 0.490611064856358         ), PROX_MALL = c(0.793630348518112, 0.856591768216477,          0.768764019555169, 0.952850965311535, 0.651389947232486,          0.844084234929545, 0.813314037197816, 0.313890580083005,          0.264395031718586, 0.264395031718586, 0.540250505232014,          0.655923636590071, 0.655923636590071, 0.591682371404957,          0.241772845363545, 0.943364056194349, 0.943364056194349,          0.302826744416793, 0.469553394647833, 0.779066462317335         ), PROX_CHAS = c(0.161491876005888, 0.14998683096932,          0.1066489590073, 0.218034921212892, 0.11938167830482,          0.0460460495231756, 0.347263729641395, 0.112175615725657,          0.0806835690144568, 0.0806835690144568, 0.0869956868442428,          0.0970531700661786, 0.0970531700661786, 0.116738661463474,          0.157458356405151, 0.201852081003395, 0.201852081003395,          0.258750733988333, 0.0664211666443358, 0.0405139203460024         ), PROX_SUPERMARKET = c(0.128302570008396, 0.194600933367586,          0.284909088626731, 0.502751024921131, 0.282093113359979,          0.436961702644775, 0.624544400837596, 0.221335227738319,          0.24726445439454, 0.24726445439454, 0.0869967242830128,          0.098601858754749, 0.098601858754749, 0.110756393825321,          0.224853982916395, 0.115543350477338, 0.115543350477338,          0.378001630838772, 0.350370254212894, 0.0588346413192393         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 1L, 1L, 1L,          1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 4L, 4L, 0L, 1L, 4L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 1L, 4L, 2L,          1L, 7L, 8L, 8L, 6L, 4L, 4L, 5L, 7L, 3L, 3L, 3L, 6L, 4L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 4L, 6L, 7L, 5L, 6L,          6L, 6L, 5L, 10L, 10L, 7L, 7L, 2L, 2L, 9L, 7L, 4L), WITHIN_1KM_PRISCH = c(3L,          3L, 2L, 3L, 3L, 2L, 3L, 4L, 3L, 3L, 3L, 2L, 2L, 2L, 3L,          2L, 2L, 2L, 3L, 2L), DNeighbour = c(0, 65.4866347848533,          264.45614849196, 390.880434874996, 413.330293861843,          414.183677744019, 516.314212307752, 685.795524442176,          702.783466762669, 705.762864649996, 752.625608724564,          809.477013664432, 810.02192055803, 830.313192084674,          842.842866238421, 895.991497845599, 903.642263567096,          906.319931344061, 967.779024288429, 976.702920444525)), row.names = c("676",      "682", "716", "713", "998", "79", "204", "446", "386", "194",      "94", "306", "642", "191", "397", "931", "476", "973", "842",      "811"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.991029160624154,      0.858748366320069, 0.705325754164694, 0.673894470752814,      0.672679614541962, 0.519193162051407, 0.257028970040871,      0.232567371571637, 0.22834366574553, 0.165006418641047, 0.0980409670483934,      0.0974625118030063, 0.076894506610905, 0.0651895562769368,      0.025104633823733, 0.0207392173995252, 0.0193017483775786,      0.000330877244572105, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7291915280 
R squared (OOB):                  0.5123477 

$Forests[[677]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(440000, 375000, 388000,      380000, 370000, 365000, 347000, 370000, 446000, 315000, 340000,      390000, 420000, 420000, 308000, 415000, 365000, 355000, 330000,      360000), floor_area_sqm = c(103, 92, 103, 102, 98, 103, 103,      104, 107, 84, 104, 104, 99, 90, 84, 100, 107, 103, 103, 103     ), storey_order = c(2L, 2L, 3L, 2L, 2L, 4L, 3L, 2L, 3L, 3L,      1L, 1L, 3L, 2L, 1L, 1L, 1L, 3L, 2L, 1L), remaining_lease_mths = c(918,      938, 935, 938, 767, 768, 777, 763, 783, 788, 772, 763, 929,      925, 795, 944, 766, 793, 800, 777), PROX_CBD = c(12.1964782349865,      12.0748651503812, 12.2384019056968, 12.4172252614445, 12.6407298816561,      12.6612960596841, 12.4516179583977, 13.075732494377, 13.1163383572019,      13.0463978034086, 13.1145091682395, 13.1145091682395, 13.2222340992065,      12.960867808991, 13.3304860768802, 13.1525533734461, 13.578535689825,      13.46147060752, 13.46147060752, 13.7231688188033), PROX_ELDERLYCARE = c(0.395535007521183,      0.485644504612505, 0.481492260541915, 0.466477120293287,      0.198383641986835, 0.349885373003571, 0.517665393733001,      0.206309775801723, 0.258125844069092, 0.612412426395362,      0.233566729538939, 0.233566729538939, 0.385934705647939,      0.579007844644764, 0.85382998667073, 0.640770029240432, 0.535215785060316,      1.01995663096129, 1.01995663096129, 0.681177733621966), PROX_HAWKER = c(2.11269605893479,      1.97379568283644, 2.08679181031876, 1.89270186421095, 1.70233840124208,      1.71720286170745, 1.97187302693261, 1.2806114078583, 1.23349193679857,      1.36023111372333, 1.24018164124527, 1.24018164124527, 1.08380419022874,      1.16344345150942, 1.09459947163448, 0.959649545299011, 0.775756145922257,      1.03983060555389, 1.03983060555389, 0.601426993813282), PROX_MRT = c(1.03396693725809,      1.16171233055988, 1.00400763232319, 0.847625669994717, 0.712674611555213,      0.798149237832703, 1.07246547116041, 0.218393806785847, 0.166998983475289,      0.622051877914657, 0.402767024758649, 0.402767024758649,      0.503688459146237, 0.899387073359532, 0.525688124362732,      0.944408516927639, 0.357978123578611, 0.367668143276235,      0.367668143276235, 0.498221170198522), PROX_PARK = c(0.631382355736929,      0.570565135790359, 0.617440020241687, 0.790049777369869,      0.87239282209614, 0.722272593032778, 0.540079114132334, 1.31516124688894,      1.28385310080255, 0.572775970192077, 1.4917670023494, 1.4917670023494,      1.61082819122054, 1.44660566239193, 0.620743454357064, 1.65277848527316,      1.33984402369384, 0.582693033366388, 0.582693033366388, 1.26781451063295     ), PROX_GOOD_PRISCH = c(2.16851203086393, 2.03318600563725,      2.2532718981807, 2.44639044951476, 2.56532775368338, 2.58047246486208,      2.37408427308534, 3.06740437701091, 3.10133739012884, 2.96540091825049,      3.15473759747012, 3.15473759747012, 3.2388029474634, 2.82458087567675,      3.24954726475941, 2.95137840528657, 3.55013641033528, 3.38131302543864,      3.38131302543864, 3.673854441535), PROX_MALL = c(1.12036230953297,      1.24268779707958, 1.10261213560447, 0.95273084922996, 0.751522975449472,      0.817237002784756, 1.09246464633101, 0.332903613799786, 0.281310431650798,      0.587476612974174, 0.504156272689578, 0.504156272689578,      0.587950861513872, 0.695129776671669, 0.513372166694422,      0.703422933264244, 0.305514521023982, 0.644549177151603,      0.644549177151603, 0.406890039239853), PROX_CHAS = c(0.194956542036987,      0.0669716337617594, 0.187666753228527, 0.132703338642494,      0.217156748290024, 0.248450831201433, 0.137011223676854,      0.122328851042638, 0.155371621529032, 0.40513819943783, 0.11048408202451,      0.11048408202451, 0.151225190585885, 0.341366062526918, 0.472814153962233,      0.1365287941905, 0.282171570268124, 0.348399033159575, 0.348399033159575,      0.176857487498571), PROX_SUPERMARKET = c(0.242376621204914,      0.301394789473075, 0.388917381074845, 0.453312253927337,      0.217156859083098, 0.326739034058403, 0.417679622168911,      0.193246634773484, 0.141466460051892, 0.599997973636583,      0.362446168440829, 0.362446168440829, 0.459946280432931,      0.668273194253219, 0.510727353781082, 0.688592108834651,      0.281417393052806, 0.356146193343619, 0.356146193343619,      0.270532795629183), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 0L, 2L, 2L, 1L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 1L, 0L, 1L,      1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(4L, 2L, 2L, 3L, 4L,      3L, 3L, 4L, 4L, 2L, 6L, 6L, 5L, 1L, 4L, 2L, 4L, 3L, 3L, 4L     ), WITHIN_350M_BUS = c(9L, 9L, 10L, 9L, 10L, 12L, 9L, 10L,      9L, 7L, 7L, 7L, 8L, 2L, 5L, 6L, 10L, 6L, 6L, 8L), WITHIN_1KM_PRISCH = c(2L,      2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 4L, 3L, 3L, 2L,      4L, 3L, 3L, 3L), DNeighbour = c(0, 147.935870257685, 196.429508324646,      353.121499555459, 565.930881978747, 676.112452699957, 711.014903677839,      897.455339042401, 936.216040345222, 997.761089045407, 1003.74350607881,      1009.41841261472, 1149.21951137675, 1153.41432149638, 1247.9746666777,      1343.78412162541, 1386.81206731664, 1411.84893349876, 1420.90104294818,      1525.12769640481)), row.names = c("677", "721", "399", "296",      "477", "552", "851", "929", "105", "987", "844", "164", "350",      "831", "61", "496", "856", "332", "526", "960"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.981270911402091, 0.967098634632702, 0.895656345883594,      0.743571990605257, 0.645566513537063, 0.612552500602142,      0.427364572227031, 0.388347046397787, 0.327187448244058,      0.321324844681773, 0.315780610673439, 0.186798899645716,      0.183226578250972, 0.109180789639257, 0.0500280888409498,      0.0299835088145811, 0.0204584696782694, 0.017426361283646,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1653026458 
R squared (OOB):                  -0.1085151 

$Forests[[678]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(428000, 420000, 325000,      395000, 425000, 431000, 395000, 426000, 360000, 410000, 3e+05,      333000, 330000, 355000, 308000, 315000, 360000, 365000, 347000,      370000), floor_area_sqm = c(90, 90, 84, 90, 92, 92, 92, 92,      99, 92, 84, 103, 103, 103, 84, 84, 103, 103, 103, 98), storey_order = c(8L,      8L, 2L, 5L, 6L, 9L, 4L, 6L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 3L,      1L, 4L, 3L, 2L), remaining_lease_mths = c(1008, 1011, 783,      1010, 1006, 1010, 1010, 1012, 796, 1004, 797, 788, 800, 793,      795, 788, 777, 768, 777, 767), PROX_CBD = c(13.8412030491349,      13.8798013735997, 14.1279251783367, 13.990153115514, 14.0603534116893,      14.0603534116893, 14.0603534116893, 14.0324943086614, 13.8977069202737,      14.000256381606, 14.3169519114025, 14.3532733654858, 13.46147060752,      13.46147060752, 13.3304860768802, 13.0463978034086, 13.7231688188033,      12.6612960596841, 12.4516179583977, 12.6407298816561), PROX_ELDERLYCARE = c(1.74703283433278,      1.77270985488013, 1.66641228888996, 1.56992496550613, 1.50084223071099,      1.50084223071099, 1.50084223071099, 1.51384309451853, 1.56746404607568,      1.50178268661881, 1.55261218152075, 1.6760601574403, 1.01995663096129,      1.01995663096129, 0.85382998667073, 0.612412426395362, 0.681177733621966,      0.349885373003571, 0.517665393733001, 0.198383641986835),          PROX_HAWKER = c(1.43519165592487, 1.47024255459416, 1.24304803992561,          1.69002608854433, 1.69193386873811, 1.69193386873811,          1.69193386873811, 1.73133481154049, 1.04237506554324,          1.77005964815816, 1.19367588944735, 0.99569743308136,          1.03983060555389, 1.03983060555389, 1.09459947163448,          1.36023111372333, 0.601426993813282, 1.71720286170745,          1.97187302693261, 1.70233840124208), PROX_MRT = c(0.462396576385451,          0.523014705157119, 0.59155533687368, 0.789673249073619,          0.836549486170002, 0.836549486170002, 0.836549486170002,          0.85175230125279, 0.300373388684648, 0.865600228728207,          0.753004841751307, 0.756418829435307, 0.367668143276235,          0.367668143276235, 0.525688124362732, 0.622051877914657,          0.498221170198522, 0.798149237832703, 1.07246547116041,          0.712674611555213), PROX_PARK = c(0.752068597068081,          0.782127938386311, 1.00515750023779, 0.716145735764812,          0.66093693759156, 0.66093693759156, 0.66093693759156,          0.65310707550057, 0.782220037546154, 0.652876507033438,          1.00962818739137, 1.20426051281307, 0.582693033366388,          0.582693033366388, 0.620743454357064, 0.572775970192077,          1.26781451063295, 0.722272593032778, 0.540079114132334,          0.87239282209614), PROX_GOOD_PRISCH = c(3.82728738248792,          3.87304276717541, 4.09179045416031, 4.0269654833207,          4.09775909461572, 4.09775909461572, 4.09775909461572,          4.07805978762992, 3.83525569342672, 4.05408625233137,          4.27446656255715, 4.29145341198416, 3.38131302543864,          3.38131302543864, 3.24954726475941, 2.96540091825049,          3.673854441535, 2.58047246486208, 2.37408427308534, 2.56532775368338         ), PROX_MALL = c(1.33339622609195, 1.33861894221302,          1.48884664162065, 1.32125061115982, 1.38265334141638,          1.38265334141638, 1.38265334141638, 1.34360210764349,          1.14150204308926, 1.30130189944441, 1.50622914679999,          1.45738633765159, 0.644549177151603, 0.644549177151603,          0.513372166694422, 0.587476612974174, 0.406890039239853,          0.817237002784756, 1.09246464633101, 0.751522975449472         ), PROX_CHAS = c(0.116038559859119, 0.058882652003164,          0.283027750434604, 0.231188025602735, 0.266609427013402,          0.266609427013402, 0.266609427013402, 0.288579392766018,          0.162936326565904, 0.313291309929199, 0.149961616171305,          0.0428610630237518, 0.348399033159575, 0.348399033159575,          0.472814153962233, 0.40513819943783, 0.176857487498571,          0.248450831201433, 0.137011223676854, 0.217156748290024         ), PROX_SUPERMARKET = c(0.116038559858059, 0.0588826520022197,          0.283027750434408, 0.231188025603748, 0.266609427014493,          0.266609427014493, 0.266609427014493, 0.288579392767071,          0.162936951836525, 0.313291309930196, 0.277976240278344,          0.400567683079086, 0.356146193343619, 0.356146193343619,          0.510727353781082, 0.599997973636583, 0.270532795629183,          0.326739034058403, 0.417679622168911, 0.217156859083098         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 1L, 0L, 0L,          0L, 0L, 0L, 0L, 3L, 2L, 1L, 1L, 1L, 2L, 0L, 2L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 3L, 1L, 1L, 1L,          1L, 1L, 4L, 1L, 3L, 3L, 3L, 3L, 4L, 2L, 4L, 3L, 3L, 4L         ), WITHIN_350M_BUS = c(5L, 5L, 10L, 4L, 4L, 4L, 4L, 4L,          5L, 3L, 9L, 10L, 6L, 6L, 5L, 7L, 8L, 12L, 9L, 10L), WITHIN_1KM_PRISCH = c(3L,          2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 3L,          4L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 63.6307907839969,          320.444761159138, 334.771579741632, 375.001026748181,          379.96569798704, 381.031940380444, 392.068819355512,          401.136327062928, 410.973472008309, 509.698428023782,          637.28700289018, 819.838398596941, 827.727910726289,          984.735083085798, 1144.76455114675, 1400.72944099634,          1447.93798378438, 1529.96305541585, 1553.93603037349)), row.names = c("678",      "877", "893", "276", "241", "55", "805", "675", "479", "726",      "650", "697", "526", "332", "61", "987", "960", "552", "851",      "477"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996649311082633,      0.916759171355324, 0.909329950104088, 0.886917637658743,      0.883996408523642, 0.883364650722286, 0.876734873311763,      0.871165837511075, 0.865000915609744, 0.796400733739572,      0.691905505798675, 0.520779636426284, 0.513039279822486,      0.358105972946552, 0.209116146462592, 0.0351430116760919,      0.0173639329456178, 0.000937371259403116, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       498627486 
R squared (OOB):                  0.7392819 

$Forests[[679]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(331000, 310000, 315000,      320000, 268000, 385000, 4e+05, 370000, 368000, 350000, 375000,      340000, 323000, 368888, 350000, 310000, 4e+05, 568000, 420000,      4e+05), floor_area_sqm = c(107, 104, 104, 105, 84, 92, 96,      92, 92, 104, 92, 92, 104, 92, 92, 105, 92, 92, 92, 92), storey_order = c(2L,      3L, 1L, 3L, 3L, 3L, 2L, 1L, 2L, 3L, 1L, 2L, 2L, 2L, 1L, 3L,      4L, 4L, 4L, 3L), remaining_lease_mths = c(869, 869, 807,      815, 822, 1132, 1098, 1090, 1100, 812, 1139, 1133, 806, 1102,      1111, 827, 1142, 1117, 1133, 1136), PROX_CBD = c(15.2221855529023,      15.2437764157418, 15.3877172812078, 15.4421704385289, 15.3723771683987,      14.9536689261967, 15.0414874321427, 15.0414874321427, 14.9752079088984,      14.8739209120931, 14.8395197777251, 14.8395197777251, 15.5926635355646,      14.8482953663728, 14.8482953663728, 15.6029325535915, 14.8350589102573,      15.3987887594526, 14.7615340778399, 14.7935232496013), PROX_ELDERLYCARE = c(0.277621781700774,      0.313986883487753, 0.4433955665635, 0.497101135842809, 0.488083454274335,      1.13414610370389e-06, 0.180026828914976, 0.180026828914976,      0.199763345782594, 0.224374856243457, 0.143171284390361,      0.143171284390361, 0.348154483747206, 0.157028625587627,      0.157028625587627, 0.338118814836049, 0.366071958673004,      0.578356799737993, 0.301679225956583, 0.348662381557687),          PROX_HAWKER = c(0.252887916114098, 0.306302732963744,          0.342886316384117, 0.380223054122965, 0.473722511855576,          0.283688306330561, 0.135868389364205, 0.135868389364205,          0.202333554334061, 0.490895901627697, 0.426817039061835,          0.426817039061835, 0.438799857473275, 0.332945546865787,          0.332945546865787, 0.432858942767381, 0.625406547060166,          0.294909248784724, 0.582527401679673, 0.61938764744993         ), PROX_MRT = c(1.3991563615676, 1.43926724244883, 1.37085724211185,          1.36083949137777, 1.53295440749368, 1.45204946878565,          1.27219969611937, 1.27219969611937, 1.27457972333389,          1.67344316225132, 1.58589972239689, 1.58589972239689,          1.20427337027458, 1.41585626072206, 1.41585626072206,          1.13678031777592, 1.81204065654847, 0.921278705332003,          1.75082728996661, 1.80023823132094), PROX_PARK = c(0.500874596291267,          0.554495921895103, 0.57859629393417, 0.607675278354181,          0.719474571135727, 0.447466290733612, 0.270313948020077,          0.270313948020077, 0.259935562114549, 0.671840643384197,          0.573834160005083, 0.573834160005083, 0.608584573014238,          0.40224168015695, 0.40224168015695, 0.578149656320062,          0.813480610745631, 0.283836897691409, 0.739209778966795,          0.794674698621811), PROX_GOOD_PRISCH = c(5.9271396376627,          5.96162295702861, 6.09187968106835, 6.14472917023144,          6.12183876163327, 5.64958645026222, 5.69200203864946,          5.69200203864946, 5.6171537261999, 5.63420261242257,          5.56483468018996, 5.56483468018996, 6.25532900137267,          5.51627049340211, 5.51627049340211, 6.24898658848638,          5.6396253746677, 5.98797030068414, 5.53447364393692,          5.58881641790013), PROX_MALL = c(1.02106462402642, 1.03199787585398,          0.900250825960545, 0.860369947035052, 1.02404161156211,          0.806257336881612, 0.767711199656331, 0.767711199656331,          0.689421511186311, 0.927972955155417, 0.805396060532061,          0.805396060532061, 0.657431321444681, 0.649229394533883,          0.649229394533883, 0.60644342729779, 1.03026167893405,          0.692287086677849, 0.897398400321744, 0.980189305249844         ), PROX_CHAS = c(0.0544459444778504, 4.60754704120663e-08,          0.147116034863504, 0.200516789487464, 0.183904955535591,          0.14456617920399, 0.163757574589084, 0.163757574589084,          0.230775629929228, 0.25243947150411, 0.204546662914522,          0.204546662914522, 0.337342861051532, 0.274130336331615,          0.274130336331615, 0.336408570757183, 0.298721071991625,          0.0335692412129841, 0.166975848000366, 0.244316778428722         ), PROX_SUPERMARKET = c(0.0768892314501321, 0.0947293086454089,          0.236697160290918, 0.291068212048821, 0.267991425015023,          0.16127040484797, 0.197268674737732, 0.197268674737732,          0.264202614673064, 0.298947211163532, 0.280088374069707,          0.280088374069707, 0.403551045123396, 0.296829834724774,          0.296829834724774, 0.338214025323699, 0.402632437071234,          0.352133387221186, 0.408349928269047, 0.416104879739584         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 1L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 4L, 6L, 4L, 7L,          4L, 4L, 4L, 3L, 5L, 5L, 4L, 5L, 5L, 4L, 2L, 1L, 3L, 2L         ), WITHIN_350M_BUS = c(8L, 8L, 7L, 9L, 7L, 6L, 9L, 9L,          9L, 6L, 5L, 5L, 6L, 9L, 9L, 6L, 6L, 6L, 4L, 6L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 4L, 4L,          4L, 3L, 4L, 3L, 3L), DNeighbour = c(0, 50.8394562924883,          164.297336769444, 217.273535700244, 233.639835003048,          272.633317713216, 289.198713366523, 292.910562094387,          365.510275784216, 373.35800539552, 378.799331615079,          381.328821167855, 386.291593266942, 418.436812856857,          420.56311031294, 422.820616603329, 473.181232623977,          475.348389173733, 486.25846093706, 495.418202823373)), row.names = c("679",      "578", "895", "586", "867", "139", "632", "793", "558", "602",      "152", "543", "458", "195", "762", "924", "27", "714", "620",      "478"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.97904946518044,      0.792134061951429, 0.652314580717329, 0.604649750186763,      0.486031384430097, 0.434597186950771, 0.423067571077002,      0.207643153250158, 0.186670691452946, 0.172539626959188,      0.166092956343985, 0.153682642187875, 0.0821558055334491,      0.0780419463728445, 0.0737679682831405, 0.00770108315969461,      0.00630127576324961, 0.00134219484887063, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3539311445 
R squared (OOB):                  0.07114441 

$Forests[[680]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 440000, 435000,      417000, 435000, 380000, 412000, 565000, 420000, 575000, 540000,      585000, 390000, 658000, 615000, 438000, 376888, 430000, 447000,      360000), floor_area_sqm = c(100, 100, 99, 99, 100, 104, 103,      93, 104, 93, 93, 93, 104, 84, 84, 104, 104, 104, 107, 84),          storey_order = c(3L, 3L, 2L, 3L, 4L, 1L, 4L, 6L, 2L,          5L, 4L, 4L, 1L, 3L, 2L, 2L, 3L, 2L, 3L, 2L), remaining_lease_mths = c(915,          911, 928, 914, 924, 924, 918, 1127, 922, 1133, 1142,          1142, 809, 1120, 1122, 812, 810, 819, 782, 762), PROX_CBD = c(12.2087069526051,          12.2087069526051, 12.2106818490232, 12.2815153207229,          12.114386347938, 12.0301392517655, 11.9871965659798,          12.4937468159193, 11.8892341343185, 12.4342034244884,          12.5378737745647, 12.454441113408, 11.7882471009294,          12.4891302242583, 12.3801819754074, 11.7215458353159,          11.622690560426, 11.547248638023, 11.7840832214562, 11.4815172953657         ), PROX_ELDERLYCARE = c(0.434858408662556, 0.434858408662556,          0.442541563379791, 0.513657423159811, 0.421163091926404,          0.255083942589415, 0.210296865683283, 0.714783075399861,          0.110349805405523, 0.678867196986192, 0.76025522927712,          0.717258387107597, 0.114277277444971, 0.707031754326944,          0.738453704244922, 0.240093333498969, 0.175524774720266,          0.246353759583753, 0.481333190444255, 0.182032582488253         ), PROX_HAWKER = c(0.692592935098248, 0.692592935098248,          0.524204307723605, 0.52278816815954, 0.885134801830427,          0.598391326300702, 0.625285574708341, 0.680821394190482,          0.684056106771311, 0.504612881494125, 0.672948721825079,          0.459376407452819, 0.647051853283446, 0.384467206049481,          0.261296216065877, 0.609281739536534, 0.783966268147895,          0.837769476188058, 0.436117874461739, 0.728271246274353         ), PROX_MRT = c(0.89623888155871, 0.89623888155871, 0.743103019894999,          0.703998835661039, 1.10882075300419, 0.885297742933312,          0.923336133969517, 0.743366527772832, 1.00424261648768,          0.586933783104383, 0.707305973375369, 0.518913352820399,          1.00317447086964, 0.38468199977318, 0.367154517888221,          0.989064774064853, 1.15515804744233, 1.16228231940478,          0.81394482428473, 0.756359380624344), PROX_PARK = c(0.954913184146477,          0.954913184146477, 0.863487882808023, 0.796788171077343,          1.14970360230785, 1.04875150887626, 1.09395352284574,          0.683130710636032, 1.19263079577799, 0.628391467794767,          0.628331945846246, 0.580711209690395, 1.24877122811849,          0.50651752093578, 0.605799570777928, 1.28416187507733,          1.41684131410086, 1.4881280763212, 1.20101103678102,          1.50398184725757), PROX_GOOD_PRISCH = c(1.04944877580977,          1.04944877580977, 0.91368762909787, 0.952579960345566,          1.17061030478036, 0.860616187528585, 0.855677549512306,          1.16886515239787, 0.842915880539328, 1.01367306567257,          1.17951788917503, 0.990054087408291, 0.713901761199557,          0.94986022590219, 0.823417580851307, 0.585140695782779,          0.733057242670121, 0.735233663606362, 0.357669915539773,          0.365254403810308), PROX_MALL = c(0.802829369116586,          0.802829369116586, 0.634332011832188, 0.630705874818675,          0.995792127022496, 0.707201836140707, 0.732793638615111,          0.778202426893423, 0.787722851944232, 0.600548053404267,          0.766094086501437, 0.549832225559512, 0.741052769880115,          0.458049841664737, 0.344173235497563, 0.690287469384684,          0.868993594299523, 0.918014501744059, 0.489619370966043,          0.763531318053358), PROX_CHAS = c(0.0852358826892552,          0.0852358826892552, 0.140964983635816, 0.0753088652692227,          0.138740180982893, 0.202915262499126, 0.171681037809818,          0.147744885974614, 0.124859952031804, 0.134041173915956,          0.187116592266412, 0.134313038880304, 0.0554870656895364,          3.00974727266337e-08, 0.126495411341712, 0.164718468919614,          0.151742844958785, 0.157099147473317, 0.0667093090499658,          0.0516610437101642), PROX_SUPERMARKET = c(0.414959148864982,          0.414959148864982, 0.377835654599335, 0.448534184110051,          0.459680111992834, 0.20670525505664, 0.172282484091702,          0.667447252804164, 0.114394571204967, 0.543693418915242,          0.707597649659388, 0.499432454100223, 0.0453848138423891,          0.425107542879533, 0.30203349112312, 0.169255457402684,          0.151741730066283, 0.157098334004615, 0.379080894647373,          0.19171128272723), WITHIN_350M_KINDERGARTEN = c(2L, 2L,          1L, 1L, 2L, 2L, 2L, 0L, 2L, 2L, 0L, 2L, 3L, 2L, 2L, 2L,          1L, 1L, 2L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L,          6L, 1L, 5L, 5L, 4L, 8L, 4L, 5L, 4L, 8L, 2L, 3L, 6L, 7L,          7L, 3L, 5L), WITHIN_350M_BUS = c(11L, 11L, 11L, 12L,          8L, 7L, 6L, 11L, 9L, 12L, 11L, 11L, 9L, 10L, 8L, 10L,          8L, 11L, 7L, 14L), WITHIN_1KM_PRISCH = c(1L, 1L, 2L,          2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 3L, 3L, 5L, 4L, 3L, 2L,          2L, 4L, 3L), DNeighbour = c(0, 0.610577728817397, 169.087257819422,          194.988662347237, 208.666514965178, 215.218868779839,          249.614203178803, 296.731546393621, 333.554045498725,          338.933024273929, 343.219277556317, 396.286970652893,          460.940534819615, 522.092630659179, 534.604673713082,          576.751872184236, 606.36891030617, 679.637210957485,          707.562984051399, 929.89249310123)), row.names = c("680",      "410", "42", "362", "707", "727", "689", "24", "148", "310",      "343", "641", "508", "505", "315", "625", "750", "598", "340",      "213"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999999137723924,      0.934965097607592, 0.913993986014596, 0.90182618938932, 0.895735918281265,      0.861079157719865, 0.806715155981923, 0.759221317609712,      0.751948734463293, 0.746095846184909, 0.669752373235638,      0.568952134591852, 0.468907864415367, 0.448201152268127,      0.378604602440333, 0.330378029985298, 0.216986907868425,      0.177256533387032, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1329281494 
R squared (OOB):                  0.8297367 

$Forests[[681]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(295000, 342000, 338000,      358000, 340000, 3e+05, 410000, 370000, 358000, 334008, 345000,      447888, 443000, 462000, 445000, 459000, 335000, 585000, 455000,      382000), floor_area_sqm = c(84, 106, 104, 103, 103, 84, 101,      102, 104, 103, 90, 93, 93, 93, 93, 93, 102, 91, 99, 93),          storey_order = c(4L, 3L, 2L, 4L, 3L, 2L, 3L, 3L, 4L,          2L, 5L, 5L, 5L, 5L, 4L, 4L, 4L, 10L, 2L, 1L), remaining_lease_mths = c(804,          822, 818, 815, 819, 796, 936, 927, 815, 917, 937, 1137,          1134, 1134, 1133, 1138, 940, 995, 951, 1111), PROX_CBD = c(13.4836212956012,          13.4005544783984, 13.540845499052, 13.3358607953132,          13.4421606987754, 13.0363382428153, 13.8911800577968,          14.12564920201, 14.0960645211931, 14.2719972222741, 14.2787185061121,          14.1475961545785, 14.1475961545785, 14.1475961545785,          14.1149653809405, 14.1715462602585, 14.4474740114555,          14.2059144167977, 14.3012013074868, 14.29200158436),          PROX_ELDERLYCARE = c(1.90290557072286, 1.97051284494128,          2.00347240504871, 1.82755511634294, 2.21821379350418,          2.32849407054544, 1.40411939431899, 1.44816412197145,          1.70531999087377, 1.50921581969441, 1.77826193055387,          2.03155968851809, 2.03155968851809, 2.03155968851809,          2.12564955085825, 2.09595649451453, 1.50338082315219,          0.923774065318005, 0.93663965535868, 2.00367987562091         ), PROX_HAWKER = c(0.2119534509789, 0.12929497730436,          0.326481146247567, 0.304539750383927, 0.414492581023045,          0.273412421583494, 0.687446499339865, 0.778468578249857,          0.845358517598031, 0.684102697062058, 0.865181709866835,          1.0452124348096, 1.0452124348096, 1.0452124348096, 1.06810792734919,          1.11030496241672, 0.588144724666333, 0.829910539202106,          0.693090021451824, 1.05572120633707), PROX_MRT = c(0.193711088781655,          0.190014195795526, 0.080163548628182, 0.127895121346052,          0.190553770403229, 0.403045881609603, 0.241174931861397,          0.476637705223286, 0.217341234217998, 0.347262283963267,          0.14195902454703, 0.206896355650083, 0.206896355650083,          0.206896355650083, 0.282489779359316, 0.236487582928319,          0.224566301285939, 0.127617925270923, 0.189883903502813,          0.129588785375857), PROX_PARK = c(0.646728518696572,          0.588173355458052, 0.80961064190221, 0.385477438930733,          0.89429546385096, 0.517161111062201, 0.90249149706597,          1.20701221478007, 1.27300714898888, 1.38760566459916,          1.51686048726609, 1.52292224478236, 1.52292224478236,          1.52292224478236, 1.55223981690243, 1.59201213147604,          1.55939681176166, 0.716522496183652, 0.812876767906526,          1.659682039687), PROX_GOOD_PRISCH = c(4.5626858677187,          4.50146177611143, 4.71745369301481, 4.27184313218833,          4.75420572996722, 4.29037325314161, 4.74545729482833,          5.06260566207177, 5.17863906457975, 5.26118802945754,          5.42826997650874, 5.43570837857945, 5.43570837857945,          5.43570837857945, 5.45814117537329, 5.50129862889456,          5.45861643017911, 4.85056771881294, 4.98177209241419,          5.57470277830303), PROX_MALL = c(0.551151307820263, 0.610989928852924,          0.403528889272069, 0.761223886000054, 0.472918799427377,          0.898390579507312, 0.267645090747045, 0.287395381957405,          0.243284841315127, 0.108121271181015, 0.338911837083335,          0.329425359540921, 0.329425359540921, 0.329425359540921,          0.377565489031552, 0.405991175981987, 0.12145856762689,          0.148456555084967, 0.236735170365795, 0.462705775504015         ), PROX_CHAS = c(0.229483689413426, 0.158416400393545,          0.253510567884045, 0.267020330020893, 0.291197842200049,          0.170237474205233, 0.241761013919413, 0.182188888557241,          0.132339190026647, 0.108121286081234, 0.18872293939054,          0.188783823394846, 0.188783823394846, 0.188783823394846,          0.179884741524278, 0.12657377242065, 0.121458549123021,          0.148456588323488, 0.214782230853987, 0.0888572682655253         ), PROX_SUPERMARKET = c(0.191700628396676, 0.139889213791387,          0.1865280595431, 0.442772380644983, 0.249308161339926,          0.322492439389486, 0.315435463566428, 0.277268812686258,          0.226949559622758, 0.105248463653719, 0.188722783027928,          0.235757849482592, 0.235757849482592, 0.235757849482592,          0.299769914037237, 0.248308073473709, 0.134916350552101,          0.154204342539502, 0.172194506074768, 0.124391003677116         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 1L, 2L, 1L, 2L,          1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 5L, 2L, 2L, 3L,          3L, 3L, 7L, 4L, 6L, 6L, 6L, 6L, 6L, 5L, 5L, 7L, 6L, 5L         ), WITHIN_350M_BUS = c(12L, 10L, 11L, 9L, 6L, 4L, 15L,          10L, 9L, 10L, 8L, 6L, 6L, 6L, 5L, 5L, 11L, 17L, 15L,          5L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 3L, 4L, 3L, 5L,          5L, 5L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 3L, 3L, 4L),          DNeighbour = c(0, 91.1241734171936, 192.949265946354,          334.062749759711, 383.352824653918, 473.77991853171,          502.056203408202, 638.453530094891, 639.401837747663,          783.404257076719, 869.022210066522, 875.024542805494,          875.055866435048, 877.98912075147, 916.62342497996, 953.099441603003,          976.477305491607, 976.509272730361, 990.678854000812,          1012.3952753723)), row.names = c("681", "859", "617",      "475", "123", "62", "599", "703", "880", "381", "329", "623",      "966", "207", "519", "277", "826", "146", "717", "989"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.983862577017627, 0.928672662146631, 0.794091381927367,      0.733792994158161, 0.609953939691122, 0.568627589197168,      0.362762229218644, 0.361339424504799, 0.160972676849884,      0.0692635989756725, 0.0639919009181966, 0.0639648441170169,      0.0614522969949336, 0.0324898864535621, 0.0129297963016811,      0.0048577710899497, 0.00484928392064716, 0.00180123395189757,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4219286565 
R squared (OOB):                  0.1744726 

$Forests[[682]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 345000, 420000,      335000, 430000, 548000, 370000, 516000, 440000, 450000, 588000,      720000, 705000, 638000, 630000, 640000, 435000, 485000, 640000,      439000), floor_area_sqm = c(92, 92, 91, 91, 93, 95, 92, 98,      92, 92, 95, 91, 91, 102, 102, 90, 98, 103, 91, 97), storey_order = c(2L,      1L, 1L, 3L, 3L, 2L, 4L, 3L, 3L, 1L, 3L, 3L, 3L, 9L, 6L, 1L,      1L, 2L, 3L, 3L), remaining_lease_mths = c(695, 695, 742,      754, 728, 981, 699, 698, 677, 679, 1025, 1079, 1097, 869,      870, 1095, 692, 855, 992, 669), PROX_CBD = c(8.4016901584654,      8.46158045860266, 8.31995738049774, 8.32334928378694, 8.20083785223568,      8.37940280964872, 8.34406204250889, 8.70928269501252, 8.7589377611275,      8.7589377611275, 8.51090417959469, 9.2692311101123, 9.2692311101123,      7.86314261154951, 7.86314261154951, 9.29204667907952, 8.85689554561162,      7.70120549943486, 9.30017281297198, 8.73211086874077), PROX_ELDERLYCARE = c(0.150390524199432,      0.0854535518544851, 0.259768432786295, 0.163895949541214,      0.41240614163537, 0.335901694998922, 0.224798473876808, 0.119444653145476,      0.169235371196244, 0.169235371196244, 0.120425912751251,      0.751834464907999, 0.751834464907999, 0.731462959428347,      0.731462959428347, 0.771441336950035, 0.272187629818594,      0.883817181840043, 0.677643973897152, 0.292319821872094),          PROX_HAWKER = c(0.205000896629144, 0.266645682444034,          0.387410687724852, 0.1672780527947, 0.35604829505958,          0.203869560106314, 0.308707066729857, 0.281172749103646,          0.330091511745513, 0.330091511745513, 0.166697492306482,          0.13065395668809, 0.13065395668809, 0.573870222021737,          0.573870222021737, 0.172288624542473, 0.446318851105742,          0.72907919143595, 0.445284816601654, 0.436547444862961         ), PROX_MRT = c(0.747297636603152, 0.681495718287031,          0.705543842504761, 1.03738004469153, 0.805467939952349,          0.62312262100292, 1.14033242259394, 0.379410256905797,          0.338391484905848, 0.338391484905848, 0.608243230971526,          0.513894886157587, 0.513894886157587, 0.85984195598231,          0.85984195598231, 0.459210746913958, 0.372678744867538,          0.692418360175919, 0.258716275079725, 0.600073719023998         ), PROX_PARK = c(0.784786352249359, 0.773425606080498,          0.517920409018535, 0.839050716088865, 0.393072899865764,          0.394842599629624, 0.748901820021747, 0.513364518506117,          0.469340752260783, 0.469340752260783, 0.368529270986479,          0.421166514654472, 0.421166514654472, 0.281207712521794,          0.281207712521794, 0.354651430366215, 0.479885299937475,          0.450335295656325, 0.166211588513849, 0.617507126900098         ), PROX_GOOD_PRISCH = c(1.42922442943649, 1.4534383809239,          1.20021801549651, 1.6197212814627, 1.04754826657838,          1.14854892992093, 1.74338078296013, 1.35677240305411,          1.40615721612308, 1.40615721612308, 1.13331232297991,          2.13343245969583, 2.13343245969583, 0.562813849840511,          0.562813849840511, 2.10961489740732, 1.47413984574199,          0.490611064856358, 1.82000438656186, 1.31940815963163         ), PROX_MALL = c(0.856591768216477, 0.793630348518112,          0.768764019555169, 0.952850965311535, 0.844084234929545,          0.651389947232486, 0.813314037197816, 0.313890580083005,          0.264395031718586, 0.264395031718586, 0.540250505232014,          0.655923636590071, 0.655923636590071, 0.943364056194349,          0.943364056194349, 0.591682371404957, 0.241772845363545,          0.779066462317335, 0.302826744416793, 0.469553394647833         ), PROX_CHAS = c(0.14998683096932, 0.161491876005888,          0.1066489590073, 0.218034921212892, 0.0460460495231756,          0.11938167830482, 0.347263729641395, 0.112175615725657,          0.0806835690144568, 0.0806835690144568, 0.0869956868442428,          0.0970531700661786, 0.0970531700661786, 0.201852081003395,          0.201852081003395, 0.116738661463474, 0.157458356405151,          0.0405139203460024, 0.258750733988333, 0.0664211666443358         ), PROX_SUPERMARKET = c(0.194600933367586, 0.128302570008396,          0.284909088626731, 0.502751024921131, 0.436961702644775,          0.282093113359979, 0.624544400837596, 0.221335227738319,          0.24726445439454, 0.24726445439454, 0.0869967242830128,          0.098601858754749, 0.098601858754749, 0.115543350477338,          0.115543350477338, 0.110756393825321, 0.224853982916395,          0.0588346413192393, 0.378001630838772, 0.350370254212894         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 1L, 1L, 1L,          1L, 2L, 2L, 2L, 2L, 1L, 1L, 4L, 4L, 1L, 2L, 4L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 1L, 2L, 4L,          1L, 7L, 8L, 8L, 6L, 4L, 4L, 3L, 3L, 5L, 7L, 4L, 3L, 6L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 4L, 7L, 6L, 5L, 6L,          6L, 6L, 5L, 10L, 10L, 2L, 2L, 7L, 7L, 4L, 9L, 7L), WITHIN_1KM_PRISCH = c(3L,          3L, 2L, 3L, 2L, 3L, 3L, 4L, 3L, 3L, 3L, 2L, 2L, 2L, 2L,          2L, 3L, 2L, 2L, 3L), DNeighbour = c(0, 65.4866347848533,          269.014139766894, 341.869495023095, 406.959918252046,          436.652531826358, 472.761005740364, 736.23281975586,          756.030608528068, 759.159908504019, 788.728198204896,          866.74649087276, 866.929841648216, 882.426013368427,          889.967842061325, 890.243338440678, 897.423515862207,          952.258533627245, 971.422100697411, 1013.52191514338)), row.names = c("682",      "676", "716", "713", "79", "998", "204", "446", "386", "194",      "94", "306", "642", "931", "476", "191", "397", "811", "973",      "842"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.991667764152095,      0.86406231872927, 0.785391235902151, 0.703540634897898, 0.66322807391928,      0.612182596291306, 0.223093728395048, 0.196752148129589,      0.192678604870095, 0.15554852050488, 0.0721794903335919,      0.0720133132232878, 0.0585461668861403, 0.0524182656090614,      0.0521998722709805, 0.046646220373385, 0.0137448301293231,      0.00661796266534127, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7621633507 
R squared (OOB):                  0.4902975 

$Forests[[683]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 355000, 407000,      510000, 5e+05, 476000, 475000, 537000, 620000, 680000, 680000,      8e+05, 685000, 753000, 688000, 748000, 580000, 660000, 945500,      912000), floor_area_sqm = c(82, 82, 82, 93, 103, 103, 103,      106, 103, 85, 91, 90, 93, 87, 85, 107, 100, 90, 87, 87),          storey_order = c(3L, 2L, 5L, 4L, 1L, 2L, 2L, 4L, 2L,          2L, 3L, 7L, 4L, 5L, 4L, 2L, 4L, 10L, 8L, 3L), remaining_lease_mths = c(645,          656, 661, 746, 773, 774, 781, 760, 911, 1066, 984, 1063,          1115, 1104, 964, 899, 1013, 993, 1143, 1142), PROX_CBD = c(3.68559345068932,          3.73116287154914, 3.63085360417079, 3.46549777590634,          3.24578829573265, 3.09516181063763, 3.09516181063763,          3.12641734116327, 2.86182045335715, 2.96405104980333,          2.86455481676114, 2.97610984462207, 2.56060478168524,          2.5775653440094, 3.98134497452694, 2.52364731081334,          4.79843685927635, 5.00856672458725, 2.51922626320824,          2.51922626320824), PROX_ELDERLYCARE = c(0.466665237090727,          0.501456868829436, 0.233260955843543, 0.22080460703487,          0.461566734593474, 0.614909460801077, 0.614909460801077,          0.570344367187993, 0.334062202372697, 0.206690358794928,          0.111411798512938, 0.249991250520312, 0.303984777605612,          0.283170941801308, 0.168717999980802, 0.132133546591398,          0.72206466606869, 0.403456137693205, 1.25853619714168e-06,          1.25853619714168e-06), PROX_HAWKER = c(0.28293755865871,          0.311969910328466, 0.0974836441417274, 0.288924403117312,          0.461305554076076, 0.524942013349153, 0.524942013349153,          0.582032517556358, 0.231089093207534, 0.344572110572533,          0.302651224916382, 0.405863058813757, 0.450094806637729,          0.447120961378381, 0.262344394473714, 0.315417458803045,          0.669525197575465, 0.327438715714418, 0.187177165934232,          0.187177165934232), PROX_MRT = c(1.17490863944549, 1.10221151459309,          0.897060452829867, 0.855873415641472, 1.11057161001852,          1.19880844528061, 1.19880844528061, 1.19588154804183,          0.819080841065402, 0.377919714857806, 0.391395986196982,          0.337225216160626, 0.546591463865751, 0.499107329029013,          0.310254962870727, 0.277076743329557, 1.13446368103879,          0.699181106494864, 0.243725266054354, 0.243725266054354         ), PROX_PARK = c(0.304435062988112, 0.271761978726623,          0.512523364266062, 0.78484111030831, 0.856773721705297,          0.971409228458194, 0.971409228458194, 0.971029675538415,          0.609617368578913, 0.495024008458079, 0.399002951856213,          0.4671588721782, 0.21329655328302, 0.18481391877062,          0.894232249415992, 0.163253442595557, 0.279857584881724,          0.344858191728297, 0.28862748451296, 0.28862748451296         ), PROX_GOOD_PRISCH = c(5.15997579188296, 5.22570836776045,          5.4842432173218, 5.67094725420518, 5.51078547454581,          5.46565510857314, 5.46565510857314, 5.52416256345089,          5.1514664212482, 4.62297298452196, 4.71207116352008,          4.56048774292729, 4.93746215949662, 4.89009258041755,          3.868083844602, 4.61812725480087, 4.40925832010736, 4.86324650242379,          4.50145006484821, 4.50145006484821), PROX_MALL = c(1.3376464242075,          1.41171259857663, 1.51733094855201, 1.56665946009711,          1.33172083977874, 1.2281628510896, 1.2281628510896, 1.29251563056945,          0.848351644608041, 0.404565296260845, 0.420489734799516,          0.362094853274792, 0.572150632107275, 0.524781909718914,          1.18273225000282, 0.290995843291254, 0.830412122132217,          1.20968740927381, 0.244046547559164, 0.244046547559164         ), PROX_CHAS = c(0.216565147674259, 0.261237260735983,          0.318203164684035, 0.173647795570322, 0.0869328465249217,          0.240903750709302, 0.240903750709302, 0.202999736112437,          0.159666076311523, 0.0506108453744785, 0.110042750971165,          0.111500209373212, 0.0640474788759872, 0.0301364724824846,          0.145112311632742, 0.0122221533760307, 0.120011087306801,          0.358299181925541, 0.0462846720247782, 0.0462846720247782         ), PROX_SUPERMARKET = c(0.252487697752149, 0.301923436189205,          0.318204198369299, 0.173649067116538, 0.0869315055470345,          0.240902416159861, 0.240902416159861, 0.202998478162502,          0.360029455717415, 0.0506107476035619, 0.110042446678578,          0.111500172768761, 0.315915165677582, 0.275738565320567,          0.252387257990654, 0.0373112013983995, 0.0907294343182455,          0.395196557309087, 0.169442491353445, 0.169442491353445         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 1L, 1L, 2L, 2L,          2L, 2L, 3L, 3L, 4L, 3L, 4L, 4L, 3L, 6L, 2L, 1L, 4L, 4L         ), WITHIN_350M_BUS = c(10L, 9L, 11L, 9L, 6L, 4L, 4L,          5L, 4L, 7L, 7L, 4L, 3L, 3L, 12L, 6L, 6L, 7L, 4L, 4L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L,          3L, 4L, 4L, 3L, 3L, 2L, 1L, 2L, 2L, 1L, 2L, 2L), DNeighbour = c(0,          82.300282831081, 335.474079145526, 587.116008054718,          590.79051754417, 685.190906434133, 686.701591707738,          691.958942954549, 823.131848437074, 936.718597162607,          968.765433820246, 977.981720933628, 1165.49587404836,          1165.59180609328, 1310.70379865055, 1374.85626784789,          1397.91628385392, 1417.38454471145, 1463.02164837876,          1463.31053007141)), row.names = c("683", "432", "742",      "454", "192", "126", "134", "48", "561", "389", "968", "319",      "390", "999", "375", "65", "610", "515", "816", "550"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.993683562157901, 0.89764494160474, 0.703952741069667, 0.700564958761398,      0.609562219388929, 0.608051823413667, 0.602784281582542,      0.467279734339187, 0.34836573932196, 0.315515049987068, 0.306172159653082,      0.133679049739019, 0.13360269272162, 0.0390857806077651,      0.0137457160436419, 0.00763550309908414, 0.00381738141662131,      1.55862376828402e-07, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10485573373 
R squared (OOB):                  0.622461 

$Forests[[684]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(295000, 315000, 330000,      336000, 312000, 345000, 338000, 288000, 345000, 320000, 295000,      320000, 350000, 320000, 330000, 315000, 310000, 305000, 339000,      324000), floor_area_sqm = c(101, 103, 103, 102, 101, 102,      102, 84, 102, 104, 84, 84, 102, 101, 102, 102, 91, 99, 102,      90), storey_order = c(1L, 2L, 1L, 3L, 2L, 4L, 4L, 3L, 2L,      4L, 4L, 4L, 4L, 1L, 1L, 2L, 4L, 1L, 3L, 4L), remaining_lease_mths = c(917,      926, 928, 916, 933, 926, 922, 893, 927, 893, 875, 885, 923,      924, 911, 913, 927, 921, 923, 929), PROX_CBD = c(18.4986491838169,      18.5458637520931, 18.5768909080638, 18.5506225538857, 18.4625985868209,      18.236688278315, 18.1611534549189, 18.3632948597919, 18.2868848905217,      18.4249149071789, 18.4249149071789, 18.3433564216417, 18.0569924715364,      18.0902268845521, 18.2320763538069, 17.9994058772431, 18.6571260927441,      17.9733391318796, 17.9456645257603, 18.3448727328387), PROX_ELDERLYCARE = c(0.86418951980865,      0.890661700747245, 0.912532633143698, 0.859723249528503,      0.765079897684544, 0.732088251039709, 0.519233937445895,      0.645296274244347, 0.896456720381782, 0.705240184131779,      0.705240184131779, 0.623669944895056, 0.59750504274373, 0.706169610995159,      0.927534095024191, 0.430537495183344, 1.27166470727688, 0.376016337241346,      0.476454782767532, 1.12000720290482), PROX_HAWKER = c(0.838043969781633,      0.898999046399804, 0.935860141611343, 0.958117298193611,      0.906262708365532, 0.537987121264097, 0.617364695979906,      0.921741667576702, 0.547085889030319, 1.0161652570538, 1.0161652570538,      0.960648791795978, 0.391180253405874, 0.370412154176866,      0.493410913505403, 0.472244893923117, 0.924657565926692,      0.501520555884575, 0.3648710200987, 0.636376603494217), PROX_MRT = c(0.812751343363136,      0.87509641959225, 0.912233851204259, 0.942174684471822, 0.897303014326537,      0.511061821383635, 0.623413162025338, 0.927224403125457,      0.495991449430539, 0.906393011935236, 0.906393011935236,      0.899458799363821, 0.384524332485438, 0.341202563029131,      0.433316978327494, 0.492638498779759, 0.861078471223358,      0.52882455357406, 0.385567417899789, 0.565211037998289),          PROX_PARK = c(1.49181484955502, 1.4387346144793, 1.41172869826724,          1.32670572464855, 1.31620863428189, 1.7164330470264,          1.52418818882418, 1.22890358268929, 1.86697967968657,          1.13759587953072, 1.13759587953072, 1.17596756648915,          1.77011013021076, 1.8531048262974, 1.96114614265628,          1.65421298847909, 1.95136051888807, 1.62685700377268,          1.76180373116006, 2.08056453235766), PROX_GOOD_PRISCH = c(9.04519470993137,          9.09837600782165, 9.13217936844248, 9.12094588228633,          9.04019528068803, 8.76378557853615, 8.72758527833631,          8.96505409295358, 8.78822500750919, 9.03817471771729,          9.03817471771729, 8.95760590087653, 8.58956131155308,          8.60631027953587, 8.72297519828522, 8.5589292690065,          9.13456945987866, 8.54142359534323, 8.49089982759618,          8.81498363377987), PROX_MALL = c(0.305101649121832, 0.359721010486642,          0.390092702495136, 0.46921205797367, 0.414588198127445,          0.240339889961931, 0.475604736810637, 0.282416841692855,          0.1450338527091, 0.204519313237763, 0.204519313237763,          0.22079632378696, 0.407254736414821, 0.342860958869265,          0.22704735136933, 0.446560923090423, 0.300602441432182,          0.395841490391381, 0.428159644756295, 0.284195187673565         ), PROX_CHAS = c(0.305101651313883, 0.359721009550721,          0.390092699752756, 0.469212052170377, 0.399223798550346,          0.184864523484869, 0.405258493214775, 0.231219576578415,          0.0217240252323136, 0.20451929737041, 0.20451929737041,          0.167893491583302, 0.222103720735081, 0.209799590563819,          0.11607611654581, 0.324811070171065, 0.214120710257936,          0.364030465322827, 0.218909691095897, 0.24769320941352         ), PROX_SUPERMARKET = c(0.305101855713295, 0.359721304530864,          0.390093045846372, 0.469212308573368, 0.414588227521533,          0.240339157209448, 0.475604214408431, 0.282416494634945,          0.145032957963293, 0.204519239868594, 0.204519239868594,          0.220795796105544, 0.385535197909366, 0.342860053820009,          0.227046556279957, 0.408691343873882, 0.214121714630789,          0.356071330024396, 0.365864675212809, 0.284194910851331         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 2L,          2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 0L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 5L, 5L, 6L, 6L, 6L,          5L, 8L, 7L, 7L, 7L, 8L, 4L, 6L, 5L, 4L, 3L, 3L, 3L, 5L         ), WITHIN_350M_BUS = c(9L, 9L, 9L, 8L, 8L, 7L, 10L, 8L,          9L, 9L, 9L, 8L, 9L, 7L, 10L, 9L, 8L, 11L, 8L, 8L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 5L, 5L, 6L, 6L, 4L, 4L, 4L, 4L, 4L, 6L, 5L, 4L,          7L, 3L, 7L, 6L, 4L), DNeighbour = c(0, 59.8391055712112,          100.755849419463, 162.579902891923, 194.909541162186,          301.76055822192, 346.216004817755, 355.951520421094,          391.269744118616, 401.876711384292, 405.988405593637,          425.723078695655, 454.921074017441, 468.40390999993,          488.081906938701, 498.934251145666, 523.925257498184,          527.481891030172, 555.37075210344, 590.387635193302)), row.names = c("684",      "576", "828", "291", "729", "227", "330", "864", "787", "738",      "265", "953", "491", "74", "443", "177", "761", "179", "20",      "512"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.979559609810518,      0.942598253016134, 0.854084328940078, 0.793896566514395,      0.545756767864552, 0.430480095841252, 0.405129284764114,      0.314478837902449, 0.287990925914853, 0.277853417717485,      0.230426968220259, 0.165045746903956, 0.137301632232221,      0.100199754664439, 0.0816888921901405, 0.0451457680584877,      0.0407018200700526, 0.0132492730253185, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       226594461 
R squared (OOB):                  0.2787001 

$Forests[[685]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 280000, 319000,      323000, 310500, 305000, 323000, 320000, 305000, 368000, 335000,      328000, 375000, 333000, 420000, 432000, 410000, 360000, 415000,      365000), floor_area_sqm = c(89, 90, 101, 91, 92, 91, 101,      101, 99, 106, 100, 92, 102, 99, 92, 92, 92, 99, 92, 92),          storey_order = c(1L, 3L, 4L, 2L, 4L, 4L, 1L, 2L, 4L,          3L, 4L, 3L, 3L, 3L, 1L, 4L, 2L, 3L, 2L, 1L), remaining_lease_mths = c(946,          958, 950, 974, 932, 932, 937, 931, 930, 952, 927, 923,          932, 927, 1121, 1123, 1136, 915, 1125, 1135), PROX_CBD = c(17.0860498579873,          17.0860498579873, 17.1356331652512, 16.9744532057656,          17.1621565450396, 17.1300558853523, 17.4093430047218,          17.1235753252943, 17.5508688704121, 17.1751323002447,          17.5934100264964, 17.049182232397, 17.424297644009, 17.6933534103443,          17.7152334804069, 17.7152334804069, 17.7152334804069,          17.6482187406162, 17.7609329148819, 17.8160591469996),          PROX_ELDERLYCARE = c(0.634635376150565, 0.634635376150565,          0.585213362825854, 0.669866762803474, 0.588822776266157,          0.650159488421832, 0.347622879353981, 0.697818713768909,          0.169110695114153, 0.268202380119324, 0.183364759720919,          0.850080656271298, 0.332680427012888, 0.174626049595048,          0.0982899037000713, 0.0982899037000713, 0.0982899037000713,          0.399377154365588, 0.0656405943898966, 0.101440000613482         ), PROX_HAWKER = c(0.984075399620173, 0.984075399620173,          0.905166107754752, 1.16076193719705, 0.776103543372746,          0.747949107581356, 0.646263997619536, 0.705945006380572,          0.736171211400498, 1.37649043343687, 0.860123145519879,          0.714958983882519, 1.2762396177499, 0.89059259132002,          0.815736811633103, 0.815736811633103, 0.815736811633103,          1.11261554439583, 0.769612072642938, 0.755409785256781         ), PROX_MRT = c(0.610921595420819, 0.610921595420819,          0.689848925621533, 0.434229027914827, 0.827901946736494,          0.826263947198081, 0.722831181419355, 0.782769723074986,          0.804998329325227, 0.477350523334022, 0.675234243169572,          0.785333186388227, 0.484502150769697, 0.606842528225389,          0.674833365376197, 0.674833365376197, 0.674833365376197,          0.417091391951799, 0.714624513867521, 0.729659889526201         ), PROX_PARK = c(1.98249707589613, 1.98249707589613,          2.00545012030434, 1.94357933186421, 2.12305734030611,          2.21165427538899, 1.92330050908574, 2.27471658155514,          1.71737354643835, 1.53652128691969, 1.60355051242194,          2.39009267562017, 1.39102562335911, 1.49905344652453,          1.52614967260321, 1.52614967260321, 1.52614967260321,          1.38656874841243, 1.52091098886828, 1.49250729308795),          PROX_GOOD_PRISCH = c(7.72567604662297, 7.72567604662297,          7.76178719780886, 7.64555391975429, 7.75790588282746,          7.71077701272798, 8.00696366683488, 7.68854504458572,          8.17476856172454, 7.92485948387043, 8.24279341902993,          7.5878538843241, 8.1609833985331, 8.34857469941546, 8.35538963357137,          8.35538963357137, 8.35538963357137, 8.34983568407236,          8.39120163011403, 8.44175881664207), PROX_MALL = c(0.314944256820634,          0.314944256820634, 0.382407895591973, 0.199292924769147,          0.509108711773916, 0.568151229694078, 0.265229996889848,          0.614584601713128, 0.109574351562212, 0.221509518429623,          0.188384425612312, 0.718658142186859, 0.394560370801339,          0.223321337745784, 0.158599011552442, 0.158599011552442,          0.158599011552442, 0.439097430243665, 0.147411017927622,          0.183177100903513), PROX_CHAS = c(0.250499161266826,          0.250499161266826, 0.257714074421561, 0.199292963025488,          0.242301342816858, 0.159798231789153, 0.23105278557526,          0.076148424020495, 0.048268048492383, 0.166686655025282,          0.151781240761386, 0.13498084818294, 0.265229996652697,          0.21485891447712, 0.158598978424062, 0.158598978424062,          0.158598978424062, 0.414359256629807, 0.14741100268466,          0.183177099178452), PROX_SUPERMARKET = c(0.250499698074938,          0.250499698074938, 0.257714572429151, 0.25551504160041,          0.263452146302603, 0.260386915772359, 0.313773352526138,          0.307215454393191, 0.15801430638391, 0.166252253534119,          0.209139790637019, 0.397684558683682, 0.265230176390619,          0.218378438252518, 0.144345834884574, 0.144345834884574,          0.144345834884574, 0.441697647833666, 0.113022549454425,          0.137568853383185), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 2L, 2L,          2L, 2L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(6L, 6L,          5L, 6L, 5L, 5L, 7L, 5L, 7L, 4L, 6L, 12L, 2L, 5L, 6L,          6L, 6L, 3L, 8L, 8L), WITHIN_350M_BUS = c(11L, 11L, 11L,          13L, 11L, 13L, 13L, 11L, 12L, 10L, 12L, 8L, 9L, 13L,          12L, 12L, 12L, 9L, 10L, 15L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 5L, 4L, 6L, 5L, 8L, 2L, 5L, 8L, 7L,          7L, 7L, 7L, 6L, 6L), DNeighbour = c(0, 6.39988773321209,          80.7892870257726, 175.73762269654, 229.785198910324,          296.476066513484, 369.666758111748, 384.980458086071,          469.715583471709, 518.936923280756, 520.110567770678,          537.303368222132, 595.874383807385, 618.224868353104,          629.617108724202, 631.546123917557, 632.935541071041,          658.777215974946, 677.335734156975, 723.689086832168)), row.names = c("685",      "704", "99", "902", "190", "170", "174", "871", "438", "658",      "419", "520", "736", "112", "289", "298", "13", "891", "365",      "402"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999843593903487,      0.975230408415639, 0.885538912576426, 0.808527443584295,      0.692503282436795, 0.546230915615518, 0.514101252971239,      0.334922397565803, 0.236009662850739, 0.233752718880045,      0.201391968433827, 0.103708440905281, 0.073021629810943,      0.0590887222105731, 0.0568519814178262, 0.0552635148921002,      0.0293595413667326, 0.0153760884216591, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1428515857 
R squared (OOB):                  0.2654181 

$Forests[[686]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(367000, 380000, 362500,      390000, 380000, 360000, 430000, 412000, 425000, 408000, 448000,      450000, 410000, 415000, 395000, 385000, 455000, 393000, 430000,      405000), floor_area_sqm = c(104, 106, 103, 109, 107, 84,      107, 104, 104, 105, 116, 106, 106, 103, 106, 84, 113, 103,      104, 104), storey_order = c(1L, 1L, 3L, 1L, 2L, 3L, 4L, 2L,      2L, 1L, 3L, 4L, 2L, 3L, 2L, 2L, 5L, 2L, 2L, 2L), remaining_lease_mths = c(879,      887, 819, 889, 871, 811, 868, 878, 801, 797, 827, 834, 871,      834, 834, 815, 824, 818, 861, 862), PROX_CBD = c(14.66420827852,      15.0291078847704, 14.3801998083441, 14.7712425946156, 15.2330821453909,      14.7472020389823, 15.2985874116244, 14.1313829663274, 13.9224032790502,      13.8987191813532, 15.1039483662242, 15.1256206124729, 15.428944563277,      15.1256206124729, 15.1256206124729, 13.8115996810708, 14.8805910833212,      14.8805910833212, 15.4019609662575, 15.4019609662575), PROX_ELDERLYCARE = c(0.719957479461771,      1.09928331705025, 0.709377020411434, 0.729534612359916, 1.22808745848404,      1.19052284520552, 1.41400995500373, 0.836104821253693, 0.160860892679658,      0.166628987045545, 1.55233595008815, 1.5866097118695, 1.63977306379889,      1.5866097118695, 1.5866097118695, 0.244605555667631, 1.53481387371296,      1.53481387371296, 1.7026350967472, 1.7026350967472), PROX_HAWKER = c(1.17971772396452,      1.15922930524208, 0.928921275219278, 1.70286767909083, 1.40985252978436,      0.606039227085063, 1.16406043263713, 0.73352935155883, 1.57003684649171,      1.60647998640073, 0.672854909342646, 0.674198133913936, 1.09717995764468,      0.674198133913936, 0.674198133913936, 1.71143518366979, 0.395563323563994,      0.395563323563994, 0.985391408166863, 0.985391408166863),          PROX_MRT = c(1.12495588646837, 1.36685465541241, 1.02650412956774,          1.0665313702167, 1.62235809597188, 0.807097621625513,          1.40304810962874, 0.735653331318593, 0.375491068655226,          0.337555536848429, 0.927742831261867, 0.930587839854138,          1.35104476777798, 0.930587839854138, 0.930587839854138,          0.198072339225813, 0.650195396152393, 0.650195396152393,          1.24252861976923, 1.24252861976923), PROX_PARK = c(0.823954351824118,          0.808345234949979, 0.71485218383349, 0.405128535389849,          0.633472210001671, 0.432698189125414, 0.98341166564854,          0.463826523913091, 0.819174175884815, 0.83983547285748,          0.613453702116727, 0.625625874274951, 1.02148060415503,          0.625625874274951, 0.625625874274951, 0.925135888784,          0.355836862982211, 0.355836862982211, 0.934356673366442,          0.934356673366442), PROX_GOOD_PRISCH = c(2.99834463762659,          3.36640767040689, 2.72778429145315, 3.13265552080448,          3.56691345353299, 3.13467644284063, 3.64472604970499,          2.52734391167264, 2.26578798898653, 2.24487256678893,          3.51513652285447, 3.54140201350838, 3.79601078940401,          3.54140201350838, 3.54140201350838, 2.17137072991142,          3.33079371618761, 3.33079371618761, 3.78947597459801,          3.78947597459801), PROX_MALL = c(0.669111824361406, 0.486526360127578,          0.949257633150117, 0.541352629222412, 0.253259472709144,          0.738705771798207, 0.597111778941966, 0.66282583229379,          1.34118728457461, 1.33259876169033, 0.472438990852491,          0.445444903624544, 0.809004632748584, 0.445444903624544,          0.445444903624544, 1.25122768833936, 0.390496575840073,          0.390496575840073, 0.656741946143406, 0.656741946143406         ), PROX_CHAS = c(0.38494516455544, 0.228652490110126,          0.453083161817035, 0.220588325506638, 0.210576528602503,          0.19051372613691, 0.0911939042613644, 0.528800676490504,          0.0806372798138111, 0.0582471476749484, 0.353464796953762,          0.387886097439527, 0.352996738297868, 0.387886097439527,          0.387886097439527, 0.130123043615932, 0.448788349522024,          0.448788349522024, 0.478794864158343, 0.478794864158343         ), PROX_SUPERMARKET = c(0.384052647553184, 0.234691730121176,          0.513065398645433, 0.49532093691776, 0.21397076195142,          0.326764101800336, 0.408284988301129, 0.528799775767506,          0.189550835904173, 0.2065347950197, 0.429218479578941,          0.411626017932148, 0.252078878715955, 0.411626017932148,          0.411626017932148, 0.30366394922488, 0.447693008221967,          0.447693008221967, 0.1489144838969, 0.1489144838969),          WITHIN_350M_KINDERGARTEN = c(1L, 2L, 0L, 0L, 3L, 3L,          2L, 0L, 3L, 2L, 2L, 2L, 0L, 2L, 2L, 0L, 2L, 2L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 2L,          1L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 8L, 2L, 8L, 12L, 9L, 13L,          6L, 9L, 9L, 7L, 6L, 11L, 6L, 6L, 10L, 5L, 5L, 9L, 9L),          WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 1L, 3L, 3L, 3L, 2L,          3L, 4L, 3L, 3L, 3L, 3L, 3L, 5L, 2L, 2L, 3L, 3L), DNeighbour = c(0,          377.597391758443, 392.709761042428, 522.231339918547,          568.733470948006, 612.247652500207, 693.449563613735,          790.105490310348, 793.705657546584, 828.132379916786,          888.757640703357, 918.973733291066, 921.108850402762,          926.161296716659, 927.844186565077, 948.998781796404,          953.03079827006, 955.196502188841, 988.879093841557,          994.45545171147)), row.names = c("686", "314", "3", "527",      "428", "136", "934", "695", "219", "531", "188", "457", "899",      "233", "483", "235", "852", "639", "495", "406"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.732437938954192, 0.712428072286565, 0.5245015721631, 0.452828501599006,      0.385592895498514, 0.263939662847673, 0.13597859680372, 0.13175957212649,      0.0939594780639268, 0.0405125503875345, 0.0213288290524898,      0.0201842272632051, 0.0175916738012511, 0.0167647160180716,      0.00797999349924338, 0.00665465026272246, 0.00599032239245331,      0.000125069638876548, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       994994719 
R squared (OOB):                  -0.2117564 

$Forests[[687]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(292000, 288000, 4e+05,      3e+05, 420000, 428000, 285000, 258000, 433000, 416000, 320000,      418000, 367000, 283000, 412000, 395000, 365000, 4e+05, 4e+05,      415000), floor_area_sqm = c(84, 84, 92, 84, 92, 92, 84, 84,      92, 92, 104, 92, 92, 84, 92, 92, 92, 92, 92, 92), storey_order = c(1L,      1L, 2L, 1L, 5L, 4L, 3L, 1L, 4L, 4L, 3L, 5L, 1L, 4L, 5L, 2L,      1L, 2L, 3L, 5L), remaining_lease_mths = c(761, 770, 1130,      766, 1143, 1140, 776, 781, 1130, 1140, 788, 1138, 1137, 781,      1144, 1146, 1137, 1137, 1143, 1144), PROX_CBD = c(16.3662877971208,      16.2681803933938, 16.1976566517324, 16.3138748954346, 16.1537572283104,      16.1831859860721, 16.2311391435218, 16.1631400386504, 16.055983361932,      16.055983361932, 16.4061281598547, 16.0903666266177, 16.0903666266177,      16.4061281598547, 16.0903666266177, 16.0046521285213, 16.0046521285213,      16.0475930141239, 16.0475930141239, 15.9533618390172), PROX_ELDERLYCARE = c(0.177020457931737,      0.20801878428071, 9.89208662673193e-07, 0.259941730365991,      0.0462823216560119, 0.0701319802482612, 0.252142982647588,      0.194171564025932, 0.146417557277997, 0.146417557277997,      0.45678545326778, 0.179967723198436, 0.179967723198436, 0.45678545326778,      0.179967723198436, 0.20718686492254, 0.20718686492254, 0.129564145964732,      0.129564145964732, 0.251148223850536), PROX_HAWKER = c(1.20613696965479,      1.14155805943316, 1.03146250928298, 1.19589315813724, 0.986028325459381,      1.00994702859189, 1.12300848995143, 1.03995728027003, 0.897672222950446,      0.897672222950446, 1.27662029927611, 0.9143232220583, 0.9143232220583,      1.27662029927611, 0.9143232220583, 0.855932206484513, 0.855932206484513,      0.872301448799324, 0.872301448799324, 0.802087399746937),          PROX_MRT = c(1.07002489239586, 0.896888955057001, 1.02706758196582,          0.896077488488813, 1.02112351286352, 1.08237519657155,          0.830985280221221, 0.842728374229233, 0.936151237003446,          0.936151237003446, 0.840195727203247, 1.13213387762555,          1.13213387762555, 0.840195727203247, 1.13213387762555,          0.883219311345816, 0.883219311345816, 1.14436247830993,          1.14436247830993, 0.8851452059773), PROX_PARK = c(0.840406553837571,          0.750067315759091, 0.822565203699192, 0.695881850270676,          0.793519520304926, 0.848434833813522, 0.723677668737743,          0.707513815343702, 0.683762717294504, 0.683762717294504,          0.499042267647801, 0.83568858459355, 0.83568858459355,          0.499042267647801, 0.83568858459355, 0.619767633008914,          0.619767633008914, 0.824988291997923, 0.824988291997923,          0.589052524814441), PROX_GOOD_PRISCH = c(6.93507101526025,          6.81173689796023, 6.78043949525415, 6.84997592861041,          6.74044920052795, 6.78038310261662, 6.76533990958697,          6.70927938580052, 6.63421015362065, 6.63421015362065,          6.91087941258894, 6.70919168347838, 6.70919168347838,          6.91087941258894, 6.70919168347838, 6.57618460349959,          6.57618460349959, 6.67335529701902, 6.67335529701902,          6.52939634907869), PROX_MALL = c(0.298590834338171, 0.188162247463955,          0.189710317758296, 0.242195958154985, 0.180580587241737,          0.241735562355662, 0.175221521556568, 0.0870960802892481,          0.118546137622893, 0.118546137622893, 0.408074329267436,          0.311149009276151, 0.311149009276151, 0.408074329267436,          0.311149009276151, 0.110811660449771, 0.110811660449771,          0.339403259296736, 0.339403259296736, 0.161178852361569         ), PROX_CHAS = c(0.209004221202181, 0.160774225575301,          0.0868060808909073, 0.218904529587093, 0.0922372285822684,          0.148113838308576, 0.170601730776313, 0.081875317774622,          0.110329053122027, 0.110329053122027, 0.178111672550416,          0.215238065300109, 0.215238065300109, 0.178111672550416,          0.215238065300109, 0.114687044901222, 0.114687044901222,          0.16574506375663, 0.16574506375663, 0.165813590617473         ), PROX_SUPERMARKET = c(0.303085580417471, 0.189660657064324,          0.195853508350489, 0.204979568486045, 0.186806037215644,          0.247969406526707, 0.137275095711229, 0.0873208554119548,          0.123371553336512, 0.123371553336512, 0.17811123384324,          0.316789996913415, 0.316789996913415, 0.17811123384324,          0.316789996913415, 0.112847248683738, 0.112847248683738,          0.344658205065017, 0.344658205065017, 0.162291812321236         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(8L, 6L, 8L, 4L, 8L, 7L,          5L, 6L, 3L, 3L, 4L, 2L, 2L, 4L, 2L, 3L, 3L, 2L, 2L, 3L         ), WITHIN_350M_BUS = c(5L, 11L, 7L, 8L, 7L, 7L, 10L,          11L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 7L, 7L, 9L, 9L, 8L),          WITHIN_1KM_PRISCH = c(4L, 5L, 5L, 5L, 4L, 4L, 5L, 5L,          5L, 5L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 4L, 4L, 5L), DNeighbour = c(0,          171.561561390217, 179.041496842916, 188.097502064474,          229.580875443958, 229.706829229688, 233.594595422977,          244.592400113483, 314.105386768825, 316.804160035571,          353.31734727465, 353.83440427538, 354.770045403434, 355.537214452313,          356.238205888598, 366.204956199967, 367.2368111734, 401.596310565242,          402.692333370155, 414.584321753633)), row.names = c("687",      "798", "427", "848", "869", "661", "945", "872", "741", "538",      "595", "249", "161", "49", "919", "408", "594", "440", "28",      "124"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.686837247626606,      0.6617802831691, 0.630682175300409, 0.48073158147126, 0.480264979899161,      0.465850054715984, 0.42501943874938, 0.181461217476425, 0.173119599147385,      0.0749225575206671, 0.0737625236082823, 0.0716821552527389,      0.0699945607061901, 0.0684669843536725, 0.0482988200895105,      0.0463828694535106, 0.00380370108255103, 0.00319739022145345,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       533169762 
R squared (OOB):                  0.8518881 

$Forests[[688]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 490888, 460000,      455000, 530000, 415000, 437000, 398000, 525000, 475000, 495000,      455000, 460000, 412000, 485000, 465000, 465000, 450000, 550000,      470000), floor_area_sqm = c(93, 93, 92, 93, 95, 93, 93, 93,      97, 92, 93, 92, 92, 90, 95, 95, 90, 90, 95, 93), storey_order = c(1L,      5L, 3L, 4L, 4L, 2L, 2L, 1L, 3L, 5L, 5L, 5L, 3L, 3L, 6L, 4L,      5L, 2L, 4L, 5L), remaining_lease_mths = c(1101, 1141, 1107,      1096, 1106, 1071, 1076, 1077, 1098, 1098, 1080, 1108, 1097,      1034, 1113, 1110, 1132, 1134, 1115, 1125), PROX_CBD = c(14.3298082323417,      14.4799585140632, 14.2518409016409, 14.3469943525049, 14.4087790426081,      14.2040057462849, 14.2040057462849, 14.2040057462849, 14.3488328635023,      14.3437499696049, 14.2035293519974, 14.2694643570804, 14.2694643570804,      13.9701294998534, 14.2445424628862, 14.3101587663686, 14.6796515041342,      14.6796515041342, 13.9206851659757, 14.2374266118925), PROX_ELDERLYCARE = c(0.943112693551276,      1.06862824267944, 0.985840321219444, 1.07571195137499, 0.87860471100088,      0.732225931930739, 0.732225931930739, 0.732225931930739,      0.805205193908325, 1.14464302293932, 0.685279068417721, 1.14423906696184,      1.14423906696184, 0.798789790509628, 1.24643506877499, 1.29024298571696,      1.45102259724198, 1.45102259724198, 0.410984632703067, 1.2819446304668     ), PROX_HAWKER = c(0.494981643036057, 0.462243392197612,      0.656651462258042, 0.654543769257927, 0.295591155505828,      0.429643877236979, 0.429643877236979, 0.429643877236979,      0.28631929470226, 0.74882220835846, 0.384064154962602, 0.826638245470088,      0.826638245470088, 0.796241674024292, 0.968852406622053,      0.961388959141492, 0.836784965651702, 0.836784965651702,      0.63246529422046, 1.02089221118434), PROX_MRT = c(0.122691316210064,      0.082651796212049, 0.189142279194464, 0.131478587775223,      0.258499173090988, 0.339881548667158, 0.339881548667158,      0.339881548667158, 0.320519516131068, 0.217663394995295,      0.289240493397468, 0.30438768875815, 0.30438768875815, 0.262922949537813,      0.184117552261459, 0.148967878322013, 0.391052893274669,      0.391052893274669, 0.247793554682504, 0.148741201515391),          PROX_PARK = c(0.760551135167525, 0.682350458092963, 0.785709089572823,          0.731552922713316, 0.572778275466331, 0.735378016798131,          0.735378016798131, 0.735378016798131, 0.585388118838944,          0.636899975343007, 0.69423802629866, 0.599699049952129,          0.599699049952129, 0.929619749314005, 0.481320095248247,          0.444639968372477, 0.566439778554251, 0.566439778554251,          0.9355470513087, 0.440474428767772), PROX_GOOD_PRISCH = c(5.05687720866847,          5.20136656590841, 5.03443000866885, 5.13548460888622,          5.07040230577432, 4.87692111553996, 4.87692111553996,          4.87692111553996, 4.99658730632735, 5.1680916684458,          4.84858590291698, 5.12184985907385, 5.12184985907385,          4.76155598853922, 5.1542412945362, 5.21803047984022,          5.51577006817018, 5.51577006817018, 4.55661004860153,          5.16870486361587), PROX_MALL = c(0.644100917109673, 0.64848155368644,          0.535261743386166, 0.480981762762808, 0.48422641650143,          0.458083927679449, 0.458083927679449, 0.458083927679449,          0.415696526053807, 0.38589862433106, 0.37351280301214,          0.351657486288216, 0.351657486288216, 0.698652085628877,          0.248497232357685, 0.199960318099191, 0.38618207223371,          0.38618207223371, 0.441605558767423, 0.22058685557285         ), PROX_CHAS = c(0.116678641770301, 0.149921511006425,          0.121511881264649, 0.0578525184286013, 0.263312743704905,          0.0920652608940773, 0.0920652608940773, 0.0920652608940773,          0.232702657922268, 0.0401042229543167, 0.170907589664044,          0.120456720485379, 0.120456720485379, 0.224338502615803,          0.185564313785613, 0.199960275799137, 0.367772140885018,          0.367772140885018, 0.230184731543739, 0.177995101264401         ), PROX_SUPERMARKET = c(0.116679779166118, 0.149922203205158,          0.121511691834874, 0.0704323341151683, 0.263313051629592,          0.0920659899308881, 0.0920659899308881, 0.0920659899308881,          0.232703172737007, 0.165776473264822, 0.170908382081647,          0.244158473149448, 0.244158473149448, 0.281017798180362,          0.185564776027004, 0.199173279096103, 0.0442147517112349,          0.0442147517112349, 0.23018467784701, 0.177995229543633         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 2L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 6L, 10L, 7L, 6L, 5L,          5L, 5L, 6L, 8L, 5L, 10L, 10L, 7L, 9L, 8L, 4L, 4L, 4L,          8L), WITHIN_350M_BUS = c(9L, 6L, 9L, 8L, 10L, 9L, 9L,          9L, 9L, 8L, 9L, 9L, 9L, 13L, 7L, 6L, 4L, 4L, 13L, 6L),          WITHIN_1KM_PRISCH = c(5L, 4L, 6L, 4L, 5L, 5L, 5L, 5L,          6L, 5L, 5L, 6L, 6L, 8L, 7L, 7L, 4L, 4L, 5L, 7L), DNeighbour = c(0,          159.273782713793, 160.546281323825, 173.516730735635,          203.570026525041, 215.993543099132, 219.322898006301,          219.791218291295, 239.128332374317, 277.097497186426,          291.936848196915, 334.628963340589, 338.211887302074,          370.405570616597, 482.91820753597, 489.392399922061,          511.946051587142, 516.106978825193, 524.065226184004,          536.520407088428)), row.names = c("688", "979", "73",      "488", "969", "272", "911", "448", "363", "70", "66", "470",      "434", "301", "349", "142", "996", "405", "516", "537"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.831509736122443, 0.828933311797309, 0.80175041689704, 0.732796912144549,      0.702122673494421, 0.693710225097197, 0.692520680788078,      0.642161081998309, 0.537666112562132, 0.49550694928902, 0.373315566849117,      0.363151703098021, 0.273914831256488, 0.0360364831106232,      0.028212012820462, 0.0080117681828965, 0.0055723224768841,      0.00210594283158204, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1009305618 
R squared (OOB):                  0.3654032 

$Forests[[689]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(412000, 380000, 420000,      390000, 435000, 440000, 410000, 435000, 417000, 438000, 376888,      430000, 575000, 447000, 585000, 565000, 540000, 615000, 658000,      360000), floor_area_sqm = c(103, 104, 104, 104, 99, 100,      100, 100, 99, 104, 104, 104, 93, 107, 93, 93, 93, 84, 84,      84), storey_order = c(4L, 1L, 2L, 1L, 2L, 3L, 3L, 4L, 3L,      2L, 3L, 2L, 5L, 3L, 4L, 6L, 4L, 2L, 3L, 2L), remaining_lease_mths = c(918,      924, 922, 809, 928, 911, 915, 924, 914, 812, 810, 819, 1133,      782, 1142, 1127, 1142, 1122, 1120, 762), PROX_CBD = c(11.9871965659798,      12.0301392517655, 11.8892341343185, 11.7882471009294, 12.2106818490232,      12.2087069526051, 12.2087069526051, 12.114386347938, 12.2815153207229,      11.7215458353159, 11.622690560426, 11.547248638023, 12.4342034244884,      11.7840832214562, 12.454441113408, 12.4937468159193, 12.5378737745647,      12.3801819754074, 12.4891302242583, 11.4815172953657), PROX_ELDERLYCARE = c(0.210296865683283,      0.255083942589415, 0.110349805405523, 0.114277277444971,      0.442541563379791, 0.434858408662556, 0.434858408662556,      0.421163091926404, 0.513657423159811, 0.240093333498969,      0.175524774720266, 0.246353759583753, 0.678867196986192,      0.481333190444255, 0.717258387107597, 0.714783075399861,      0.76025522927712, 0.738453704244922, 0.707031754326944, 0.182032582488253     ), PROX_HAWKER = c(0.625285574708341, 0.598391326300702,      0.684056106771311, 0.647051853283446, 0.524204307723605,      0.692592935098248, 0.692592935098248, 0.885134801830427,      0.52278816815954, 0.609281739536534, 0.783966268147895, 0.837769476188058,      0.504612881494125, 0.436117874461739, 0.459376407452819,      0.680821394190482, 0.672948721825079, 0.261296216065877,      0.384467206049481, 0.728271246274353), PROX_MRT = c(0.923336133969517,      0.885297742933312, 1.00424261648768, 1.00317447086964, 0.743103019894999,      0.89623888155871, 0.89623888155871, 1.10882075300419, 0.703998835661039,      0.989064774064853, 1.15515804744233, 1.16228231940478, 0.586933783104383,      0.81394482428473, 0.518913352820399, 0.743366527772832, 0.707305973375369,      0.367154517888221, 0.38468199977318, 0.756359380624344),          PROX_PARK = c(1.09395352284574, 1.04875150887626, 1.19263079577799,          1.24877122811849, 0.863487882808023, 0.954913184146477,          0.954913184146477, 1.14970360230785, 0.796788171077343,          1.28416187507733, 1.41684131410086, 1.4881280763212,          0.628391467794767, 1.20101103678102, 0.580711209690395,          0.683130710636032, 0.628331945846246, 0.605799570777928,          0.50651752093578, 1.50398184725757), PROX_GOOD_PRISCH = c(0.855677549512306,          0.860616187528585, 0.842915880539328, 0.713901761199557,          0.91368762909787, 1.04944877580977, 1.04944877580977,          1.17061030478036, 0.952579960345566, 0.585140695782779,          0.733057242670121, 0.735233663606362, 1.01367306567257,          0.357669915539773, 0.990054087408291, 1.16886515239787,          1.17951788917503, 0.823417580851307, 0.94986022590219,          0.365254403810308), PROX_MALL = c(0.732793638615111,          0.707201836140707, 0.787722851944232, 0.741052769880115,          0.634332011832188, 0.802829369116586, 0.802829369116586,          0.995792127022496, 0.630705874818675, 0.690287469384684,          0.868993594299523, 0.918014501744059, 0.600548053404267,          0.489619370966043, 0.549832225559512, 0.778202426893423,          0.766094086501437, 0.344173235497563, 0.458049841664737,          0.763531318053358), PROX_CHAS = c(0.171681037809818,          0.202915262499126, 0.124859952031804, 0.0554870656895364,          0.140964983635816, 0.0852358826892552, 0.0852358826892552,          0.138740180982893, 0.0753088652692227, 0.164718468919614,          0.151742844958785, 0.157099147473317, 0.134041173915956,          0.0667093090499658, 0.134313038880304, 0.147744885974614,          0.187116592266412, 0.126495411341712, 3.00974727266337e-08,          0.0516610437101642), PROX_SUPERMARKET = c(0.172282484091702,          0.20670525505664, 0.114394571204967, 0.0453848138423891,          0.377835654599335, 0.414959148864982, 0.414959148864982,          0.459680111992834, 0.448534184110051, 0.169255457402684,          0.151741730066283, 0.157098334004615, 0.543693418915242,          0.379080894647373, 0.499432454100223, 0.667447252804164,          0.707597649659388, 0.30203349112312, 0.425107542879533,          0.19171128272723), WITHIN_350M_KINDERGARTEN = c(2L, 2L,          2L, 3L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 0L,          0L, 2L, 2L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L, 8L,          8L, 5L, 5L, 5L, 1L, 6L, 6L, 7L, 7L, 4L, 3L, 4L, 4L, 5L,          3L, 2L, 5L), WITHIN_350M_BUS = c(6L, 7L, 9L, 9L, 11L,          11L, 11L, 8L, 12L, 10L, 8L, 11L, 12L, 7L, 11L, 11L, 11L,          8L, 10L, 14L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 3L,          2L, 1L, 1L, 1L, 2L, 3L, 2L, 2L, 1L, 4L, 3L, 1L, 1L, 4L,          5L, 3L), DNeighbour = c(0, 53.4157772265387, 99.9908067205484,          211.327112397425, 235.19036974526, 249.28280052382, 249.614203178803,          309.167950319611, 311.573184132688, 331.118135523584,          362.661772254001, 437.040639079815, 479.132863635308,          499.856193022438, 511.037793423004, 512.849501354193,          550.229229215401, 563.532115590536, 606.224266189905,          689.061079681309)), row.names = c("689", "727", "148",      "508", "42", "410", "680", "707", "362", "625", "750", "598",      "310", "340", "641", "24", "343", "315", "505", "213"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.988017517801809, 0.958328618178658, 0.820731198871473,      0.780573338407366, 0.755371720500681, 0.754766554131539,      0.637899685889402, 0.632886627040345, 0.591493086548995,      0.522721299461261, 0.357269460740446, 0.26677224873845, 0.224459034094237,      0.202468190795704, 0.198967580200278, 0.131308684558807,      0.109667288230282, 0.0510677580366018, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2406520660 
R squared (OOB):                  0.6917567 

$Forests[[690]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 460000, 510000,      403000, 430000, 465000, 490000, 485000, 460000, 545000, 440000,      535000, 5e+05, 520000, 532000, 520000, 515000, 489000, 589000,      498000), floor_area_sqm = c(92, 92, 92, 92, 92, 93, 95, 93,      93, 93, 93, 93, 93, 93, 96, 93, 92, 92, 96, 93), storey_order = c(1L,      2L, 3L, 1L, 1L, 5L, 2L, 2L, 3L, 5L, 2L, 4L, 6L, 5L, 4L, 4L,      2L, 2L, 6L, 2L), remaining_lease_mths = c(1131, 1137, 1136,      1138, 1128, 1097, 1111, 1147, 1138, 1127, 1142, 1118, 1137,      1147, 1111, 1118, 1138, 1137, 1111, 1102), PROX_CBD = c(13.9748767742628,      13.9481332653994, 14.0250110126613, 13.9348601041022, 13.983033341901,      13.8110145095205, 13.7780295697528, 13.9293604468603, 13.8880322509317,      13.8964286142315, 13.9713915856932, 13.8964286142315, 13.7068457080251,      13.7003463440691, 13.8842234613226, 13.7912064237251, 14.4453014943547,      14.4453014943547, 13.8838492138892, 13.8269911518463), PROX_ELDERLYCARE = c(0.0869602171534455,      0.108372417523696, 0.0392522324995346, 0.122633260073778,      0.0819455196406728, 0.2424730747692, 0.24280876806526, 0.234065981952779,      0.250782943854859, 0.28821019895416, 0.226595382415433, 0.28821019895416,      0.409751638237597, 0.434917902994305, 0.284905700992106,      0.194902312085005, 0.431976777822193, 0.431976777822193,      0.321249151015697, 0.272443342502121), PROX_HAWKER = c(0.759405218095962,      0.783686601130967, 0.732915378457501, 0.848294615942255,      0.818439961244233, 0.93957565430704, 0.855348356505915, 0.970053791291438,      0.989318285046145, 0.700607063348248, 0.954180271331751,      0.700607063348248, 1.09574216637781, 1.07570104527527, 0.667389882084889,      0.761066408094757, 0.391270554493315, 0.391270554493315,      0.661984274687099, 0.718894335359525), PROX_MRT = c(0.16215489673441,      0.146013494832411, 0.179377644983316, 0.066674836544346,      0.0961191462833423, 0.110074032088272, 0.290902656750774,      0.101292979723356, 0.0905698875540676, 0.214342865325431,      0.128817306959056, 0.214342865325431, 0.23189639897339, 0.256932190523524,      0.172676244118343, 0.263976344610204, 0.309279527401184,      0.309279527401184, 0.202599849124069, 0.250191496834268),          PROX_PARK = c(0.93793434477989, 0.964943529987853, 0.898948825756494,          1.01289159319472, 0.973290645087517, 1.12286028608686,          1.08412864631293, 1.10248671215858, 1.13098813526459,          0.945155408432775, 1.07610116952693, 0.945155408432775,          1.30108171005294, 1.30953091682666, 0.946790994443363,          1.03946212768551, 0.463863624631307, 0.463863624631307,          0.953674473627188, 1.00953333913803), PROX_GOOD_PRISCH = c(4.4381077472328,          4.41058426346667, 4.48326906164864, 4.3780728039611,          4.42376284483209, 4.2580170038876, 4.27934963146811,          4.33684280477295, 4.29841605508598, 4.42474408393319,          4.37541592083903, 4.42474408393319, 4.11427377683663,          4.10033714204368, 4.46427355245829, 4.37243865161908,          4.92565705183443, 4.92565705183443, 4.48950135049007,          4.43409233459216), PROX_MALL = c(0.408666125180857, 0.431747484707969,          0.387952579177684, 0.500682206465503, 0.475935346664486,          0.585854127158584, 0.507308338763366, 0.634323955575517,          0.648384322611893, 0.36232957329041, 0.625072347077181,          0.36232957329041, 0.786897805640679, 0.816725098938654,          0.384398044205003, 0.47180896375681, 0.259948531881284,          0.259948531881284, 0.415387276861254, 0.464449368072494         ), PROX_CHAS = c(0.0955424375353944, 0.0812590805558053,          0.116095717847762, 3.70448785353559e-08, 0.0483941894268844,          0.123846030022364, 0.246000912873009, 0.0456516508281062,          0.0495611607390083, 0.190952462752685, 0.0752462089475253,          0.190952462752685, 0.0683167852462459, 0.0738696133860389,          0.0936868185767241, 3.14247486029477e-08, 0.259948576333881,          0.259948576333881, 0.130388475133542, 0.093713435160417         ), PROX_SUPERMARKET = c(0.205979542456043, 0.194128300134642,          0.21237786594893, 0.112910168339451, 0.123899374628808,          0.157551778944521, 0.271122867675942, 0.04565204632056,          0.0495614942866338, 0.190953240917096, 0.0752464841458058,          0.190953240917096, 0.0683172333971998, 0.0738703098972174,          0.093687407280864, 8.52808058992138e-07, 0.257218468152336,          0.257218468152336, 0.130388583033251, 0.0937132175773042         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 1L,          1L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 5L, 5L, 4L, 3L,          4L, 4L, 3L, 4L, 5L, 4L, 5L, 5L, 3L, 4L, 4L, 4L, 3L, 5L         ), WITHIN_350M_BUS = c(6L, 7L, 9L, 11L, 11L, 12L, 9L,          11L, 11L, 9L, 11L, 9L, 14L, 13L, 7L, 8L, 6L, 6L, 9L,          8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 6L,          4L, 4L, 5L, 4L, 5L, 3L, 3L, 5L, 5L, 4L, 4L, 5L, 5L),          DNeighbour = c(0, 33.4661156705794, 52.7037877916789,          88.018060699543, 88.4320104460275, 181.756941286703,          236.520178033517, 240.022567931326, 241.659644703163,          246.077516750502, 247.511618576132, 249.056418821938,          371.818603226579, 405.813154795562, 419.651106041469,          441.585947823825, 484.767669987608, 488.870847309208,          500.275735003129, 506.99452676818)), row.names = c("690",      "34", "8", "356", "710", "645", "282", "21", "662", "442",      "361", "760", "863", "616", "670", "420", "855", "50", "723",      "376"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.991304653542722,      0.978504171409407, 0.940629254058751, 0.940078143760544,      0.759474939213088, 0.612094120663674, 0.601976160757226,      0.597225179555455, 0.58433883892746, 0.580136235333829, 0.57559903563393,      0.213588900862841, 0.129106056622796, 0.0991458809741052,      0.0582645914807344, 0.00735458410393239, 0.00493038604955786,      0.000693204387908721, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1200128150 
R squared (OOB):                  0.4795652 

$Forests[[691]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 380000, 380000,      366800, 480000, 445000, 323000, 348000, 635000, 338000, 309000,      592000, 345000, 518000, 330000, 515000, 492000, 550000, 333000,      388000), floor_area_sqm = c(91, 100, 103, 105, 104, 100,      92, 93, 105, 93, 91, 108, 91, 88, 84, 105, 84, 105, 84, 104     ), storey_order = c(1L, 4L, 1L, 2L, 2L, 3L, 2L, 4L, 4L, 5L,      2L, 2L, 3L, 3L, 3L, 2L, 4L, 3L, 3L, 3L), remaining_lease_mths = c(722,      931, 923, 761, 777, 949, 690, 777, 833, 860, 774, 810, 773,      770, 791, 762, 788, 786, 823, 751), PROX_CBD = c(8.21547938057256,      8.15573636625741, 8.21483984631558, 8.5913881835975, 8.81196120759187,      9.38671442358298, 9.445702961959, 9.5834162789491, 7.22087947204147,      9.71808261065178, 9.64616581570663, 7.18468073982128, 9.63489497584329,      7.79515244158294, 9.73525531751342, 7.9455961592131, 7.5632891932167,      7.59960912304084, 9.85122377146013, 10.2659136784881), PROX_ELDERLYCARE = c(0.425001866306461,      0.30639563225599, 0.287120499253456, 0.675108088860868, 0.68560621126507,      0.197320443098403, 0.0646727834979237, 0.221128007339761,      1.54373359073656, 0.288600487645686, 0.306199433665808, 1.63490637838594,      0.42629854090558, 1.83577537822547, 0.869795033999967, 1.77517839654503,      1.91313469252559, 1.85656629786719, 0.999223533815273, 0.737818764037149     ), PROX_HAWKER = c(0.272525769496456, 0.288074572046437,      0.248204869380096, 0.151496134675632, 0.290355020850324,      0.671765492644128, 0.802499530175562, 0.844035637065003,      1.05968958012269, 1.10941781168001, 0.906506968115566, 1.02937341390922,      0.908741650371918, 1.19066876388205, 0.687117415591119, 0.800389309546525,      1.10032443578502, 1.04404154823438, 0.526313717816828, 1.65941342147148     ), PROX_MRT = c(0.877462529610437, 0.998476915081282, 1.08736551837768,      0.864705124656065, 0.425157896719621, 0.671695564859285,      0.834535111428891, 0.679762822214213, 0.206889953987817,      0.750225097750018, 0.626377719466395, 0.13577722868059, 0.669484450879797,      0.499752126280618, 0.86810604264512, 0.75069701440163, 0.433934859087748,      0.492673618184051, 0.907717901248049, 0.684374477874155),          PROX_PARK = c(0.34344129155164, 0.465482353353317, 0.587773758099403,          0.545921527880028, 0.468007817587664, 0.409638708762546,          0.508498628446561, 0.171128410914521, 0.769170147627311,          0.552878075981585, 0.106198450905693, 0.802458220215738,          0.197084482081202, 0.723268787935639, 0.452373350223662,          0.364839433462782, 0.474041874627479, 0.415297912555755,          0.510337594738446, 0.570788416471153), PROX_GOOD_PRISCH = c(2.64672046335999,          2.76944558246381, 2.8757656049093, 2.65365036334729,          2.18636815139252, 1.96445822173508, 2.16640973416033,          1.81796659730331, 2.65891054731874, 2.3197363622043,          1.71137279935344, 2.6636605310312, 1.59153495480405,          1.9917971907287, 1.15234422615158, 1.79538098544694,          2.17804686625686, 2.14133679267892, 1.05242409875061,          2.58742850928016), PROX_MALL = c(0.807676293785945, 0.92903564794814,          1.020621498239, 0.81045000642783, 0.389401354829447,          0.704978058880463, 0.855253012280219, 0.812301361871699,          0.389192825268572, 0.64580888250568, 0.808294932987377,          0.319563922107573, 0.873569112263515, 0.483735594398556,          0.907839978504126, 0.730136421618933, 0.413593098419561,          0.472342316185911, 0.756051767526383, 0.364765391124967         ), PROX_CHAS = c(0.136581974857907, 0.211513021624011,          0.132091194783373, 0.0629474356823598, 0.210741683871549,          0.181909444046462, 0.378465676389041, 0.334146331647452,          0.201367273106442, 0.122290728478786, 0.415210445937219,          0.244287808759251, 0.454068185577158, 0.157541179554435,          0.116614388177292, 0.312128892467037, 5.15903103580734e-08,          0.0587537711423344, 3.39583191183935e-08, 0.204257711541377         ), PROX_SUPERMARKET = c(0.281285688066644, 0.324462496048725,          0.249780587504203, 0.140831249897628, 0.365648379234028,          0.448356351676465, 0.234896025437738, 0.581458245406798,          0.425467495913439, 0.190117050177684, 0.675617328849562,          0.350395790631763, 0.717910522287554, 0.305647853022819,          0.458729641056945, 0.390939423908347, 0.0709823460282706,          0.121599745844786, 0.350225948243757, 0.384238743245603         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 1L, 2L, 2L,          3L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 1L, 0L, 3L, 3L,          3L, 3L, 7L, 2L, 1L, 6L, 1L, 2L, 2L, 4L, 4L, 5L, 3L, 6L         ), WITHIN_350M_BUS = c(8L, 8L, 8L, 8L, 7L, 9L, 10L, 7L,          11L, 6L, 8L, 12L, 5L, 10L, 10L, 7L, 9L, 8L, 10L, 8L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L, 2L, 2L, 4L,          1L, 2L, 4L, 1L, 3L, 2L, 4L, 3L, 3L, 4L, 4L, 2L), DNeighbour = c(0,          120.382807665551, 257.332643029167, 411.814273342667,          643.976819624165, 1219.57636269957, 1243.02310115823,          1453.7786426207, 1478.78838780399, 1506.41617498037,          1549.53370893393, 1567.41722718554, 1580.75259755087,          1608.4436454871, 1883.95367404478, 1962.1902018156, 1978.97455240887,          2016.21569233258, 2042.28756839907, 2053.62388105126)), row.names = c("691",      "435", "60", "894", "465", "373", "67", "799", "344", "624",      "785", "370", "273", "209", "921", "345", "829", "735", "129",      "77"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.993139270417895,      0.96884305271785, 0.921192062184317, 0.813003636617564, 0.419028068162956,      0.401490522543548, 0.248866263812178, 0.231817542037124,      0.213368623011949, 0.185480966852388, 0.174270983618301,      0.166058872273451, 0.149431041130235, 0.0250949189329974,      0.00758011796864881, 0.00509492907510912, 0.00130317973427307,      0.000121216328101624, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3522475380 
R squared (OOB):                  0.6545585 

$Forests[[692]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(408000, 439000, 410000,      670000, 435000, 430000, 450000, 440000, 380000, 516000, 588000,      648000, 5e+05, 565000, 640000, 448000, 548000, 4e+05, 420000,      430000), floor_area_sqm = c(91, 97, 97, 94, 98, 102, 92,      92, 91, 98, 95, 116, 105, 103, 91, 105, 95, 97, 99, 93),          storey_order = c(3L, 3L, 4L, 6L, 1L, 3L, 1L, 3L, 3L,          3L, 3L, 4L, 2L, 4L, 3L, 1L, 2L, 3L, 3L, 3L), remaining_lease_mths = c(674,          669, 665, 1104, 692, 869, 679, 677, 691, 698, 1025, 871,          857, 852, 992, 866, 981, 681, 716, 728), PROX_CBD = c(8.96374942103709,          8.73211086874077, 8.66747718420982, 8.58683984966127,          8.85689554561162, 8.77938926255451, 8.7589377611275,          8.7589377611275, 9.09613481662016, 8.70928269501252,          8.51090417959469, 8.27332873959955, 8.19182633034048,          8.19182633034048, 9.30017281297198, 8.05276498978228,          8.37940280964872, 9.29171741525155, 9.97053790241166,          8.20083785223568), PROX_ELDERLYCARE = c(0.267188539522683,          0.292319821872094, 0.0441159965049124, 0.203840329735754,          0.272187629818594, 0.374310234303432, 0.169235371196244,          0.169235371196244, 0.297153722290783, 0.119444653145476,          0.120425912751251, 0.354571010374291, 0.444818640633349,          0.444818640633349, 0.677643973897152, 0.599632276485302,          0.335901694998922, 0.121888026553089, 0.115679603991599,          0.41240614163537), PROX_HAWKER = c(0.393731145214296,          0.436547444862961, 0.357845486047337, 0.433030813326955,          0.446318851105742, 0.0530841043788875, 0.330091511745513,          0.330091511745513, 0.276770006011078, 0.281172749103646,          0.166697492306482, 0.610975272844239, 0.553760551741158,          0.553760551741158, 0.445284816601654, 0.560005371648267,          0.203869560106314, 0.631142210027013, 0.499128715987426,          0.35604829505958), PROX_MRT = c(0.71987240697712, 0.600073719023998,          0.874328108605637, 0.751078096441513, 0.372678744867538,          1.18818107396501, 0.338391484905848, 0.338391484905848,          1.2652859093471, 0.379410256905797, 0.608243230971526,          1.0936063211659, 1.08457427678223, 1.08457427678223,          0.258716275079725, 1.12051759514643, 0.62312262100292,          1.65516610461175, 0.460213635694043, 0.805467939952349         ), PROX_PARK = c(0.60552725382935, 0.617507126900098,          0.691303172853456, 0.52118662053352, 0.479885299937475,          0.700959888788064, 0.469340752260783, 0.469340752260783,          0.429900368262469, 0.513364518506117, 0.368529270986479,          0.477465658778908, 0.374102285306053, 0.374102285306053,          0.166211588513849, 0.30128672956265, 0.394842599629624,          0.199649911236163, 0.425125261748846, 0.393072899865764         ), PROX_GOOD_PRISCH = c(1.13785719900195, 1.31940815963163,          1.23754792076915, 1.16640042723588, 1.47413984574199,          0.963274696928036, 1.40615721612308, 1.40615721612308,          0.657187468393487, 1.35677240305411, 1.13331232297991,          0.856939381531897, 0.769163347741007, 0.769163347741007,          1.82000438656186, 0.631981624625733, 1.14854892992093,          0.365175047542414, 1.1615230473897, 1.04754826657838),          PROX_MALL = c(0.480317195978648, 0.469553394647833, 0.740457696387364,          0.632538285087724, 0.241772845363545, 0.946404029132472,          0.264395031718586, 0.264395031718586, 0.916512124719577,          0.313890580083005, 0.540250505232014, 0.991200103712322,          0.997182626507123, 0.997182626507123, 0.302826744416793,          1.07178760783233, 0.651389947232486, 1.26787190539693,          0.687811479893446, 0.844084234929545), PROX_CHAS = c(0.143131544605207,          0.0664211666443358, 0.34300149800099, 0.237191200694799,          0.157458356405151, 0.064920565519497, 0.0806835690144568,          0.0806835690144568, 0.209184408253321, 0.112175615725657,          0.0869956868442428, 0.413431749899638, 0.311461966699573,          0.311461966699573, 0.258750733988333, 0.167974733321899,          0.11938167830482, 0.143872847977416, 0.354473795917701,          0.0460460495231756), PROX_SUPERMARKET = c(0.181164390242962,          0.350370254212894, 0.158725757407685, 0.35437102597818,          0.224853982916395, 0.239175324970861, 0.24726445439454,          0.24726445439454, 0.235755012868274, 0.221335227738319,          0.0869967242830128, 0.502190497784501, 0.485938543293979,          0.485938543293979, 0.378001630838772, 0.372458117254617,          0.282093113359979, 0.371928496535936, 0.61645520286935,          0.436961702644775), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 0L, 0L, 0L, 0L,          3L, 1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 6L,          2L, 5L, 7L, 2L, 8L, 8L, 3L, 7L, 6L, 4L, 2L, 2L, 3L, 3L,          4L, 3L, 1L, 2L), WITHIN_350M_BUS = c(6L, 7L, 5L, 4L,          7L, 4L, 6L, 6L, 7L, 6L, 5L, 8L, 7L, 7L, 9L, 5L, 6L, 9L,          10L, 7L), WITHIN_1KM_PRISCH = c(2L, 3L, 2L, 2L, 3L, 2L,          3L, 3L, 2L, 4L, 3L, 2L, 2L, 2L, 2L, 1L, 3L, 2L, 2L, 2L         ), DNeighbour = c(0, 310.412654817873, 312.807435833561,          396.446337020306, 412.992684950856, 482.942015081347,          542.093522397312, 544.717829061549, 560.1630162314, 560.417741304585,          585.397328784413, 701.838872571169, 775.593764921356,          780.865379609875, 901.358044266792, 918.381832907919,          929.347113362716, 971.860941726941, 1018.24177479797,          1106.01927713076)), row.names = c("692", "842", "331",      "149", "397", "606", "194", "386", "715", "446", "94", "795",      "674", "128", "973", "635", "998", "122", "359", "79"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.84866718649356, 0.846420756553057, 0.759543037648377, 0.740579012799509,      0.65502768383576, 0.577253981950231, 0.573716534958642, 0.552778108892606,      0.552431190982792, 0.518197532249456, 0.356802940878634,      0.258319378512092, 0.251546250601502, 0.112792029907603,      0.0964231611524917, 0.086411325663539, 0.0519308646305428,      0.0232343980320388, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6190648547 
R squared (OOB):                  0.246425 

$Forests[[693]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(332000, 310000, 338000,      330000, 330000, 310000, 320000, 4e+05, 375000, 350000, 342000,      370000, 368000, 330000, 3e+05, 390000, 4e+05, 385000, 371000,      425000), floor_area_sqm = c(104, 104, 103, 104, 105, 104,      107, 100, 100, 107, 105, 92, 100, 105, 94, 91, 90, 90, 91,      93), storey_order = c(3L, 3L, 4L, 3L, 1L, 2L, 1L, 5L, 5L,      3L, 4L, 3L, 2L, 1L, 2L, 2L, 3L, 3L, 2L, 3L), remaining_lease_mths = c(838,      838, 836, 847, 909, 840, 909, 923, 935, 910, 822, 922, 937,      896, 817, 956, 953, 1060, 957, 1029), PROX_CBD = c(18.3394484051955,      18.2872060948971, 18.1853470145009, 18.238428451998, 18.4634083712346,      18.6954685875173, 18.5552891680356, 18.2155576397088, 18.2155576397088,      18.8361111070307, 18.4174433264455, 18.2744201988815, 18.1853912561079,      17.9794873864528, 18.4835571341017, 17.980006840849, 17.5759295796121,      17.6242343596777, 17.630719557776, 18.2498667293237), PROX_ELDERLYCARE = c(1.68689945441126,      1.57361264937598, 1.46334015610348, 1.49823830734066, 1.70649895251479,      1.96536267509963, 1.77696496808422, 1.82774218733134, 1.82774218733134,      2.10089317294022, 2.01990466694452, 1.91030467455468, 1.83831888483507,      1.20397588034421, 2.12772209584432, 1.69038013517483, 1.07156662032258,      0.892136309268664, 1.35614304544574, 2.08641833813892), PROX_HAWKER = c(0.322806547864559,      0.464971900021808, 0.490406092071559, 0.548143788898404,      0.656056303664779, 0.696312293428963, 0.788681622626877,      0.218122417644225, 0.218122417644225, 0.811063273063077,      0.365194571711665, 0.292675997882175, 0.267411626133086,      0.736691454978467, 0.47819209562201, 0.32947027962251, 0.622851592932912,      0.816419857336687, 0.550798352023498, 0.574007707230075),          PROX_MRT = c(0.722989849955079, 0.870907467758581, 0.888080533877704,          0.950317003394984, 1.05945750202888, 1.06426899086337,          1.18994045686449, 0.24629140143503, 0.24629140143503,          1.15964764660018, 0.394110762668951, 0.25859759791353,          0.186589372260449, 1.05284557964442, 0.440067919828323,          0.131298797620671, 0.449846795062068, 0.729175757939742,          0.481509556817778, 0.270260950193414), PROX_PARK = c(0.845903786092674,          0.791043930625847, 0.741201414908801, 0.690805332809177,          0.707700114575514, 0.939968281858902, 0.662341635279621,          0.449638685926872, 0.449638685926872, 0.99599902820202,          0.305293053539538, 0.366705585759005, 0.431621232177097,          0.555889077383573, 0.199823808978303, 0.597192139646456,          0.650211227804106, 0.830497330619545, 0.706852169587072,          0.261745107633199), PROX_GOOD_PRISCH = c(7.67457853159282,          7.62743554697163, 7.52724739525134, 7.58243576478886,          7.80883552790736, 8.03533881462458, 7.9054148179446,          7.54917724573578, 7.54917724573578, 8.17598486214089,          7.75189187586876, 7.60907430161507, 7.51998659904145,          7.33264137396139, 7.82005706650481, 7.31481473864251,          6.90999703096039, 6.97273607492461, 6.96345421686322,          7.5938744989762), PROX_MALL = c(0.270650184250749, 0.369641594977131,          0.362005799982455, 0.291730094824992, 0.25445476080495,          0.50227152913363, 0.238299753757691, 0.249434383428027,          0.249434383428027, 0.605524804958104, 0.368677515727611,          0.31638525459609, 0.304347432784639, 0.387548928263219,          0.482762920255867, 0.38257003715367, 0.456006423255308,          0.671391539314818, 0.581015113036356, 0.606938778613173         ), PROX_CHAS = c(0.186439783883369, 0.000458346083760352,          0.11010335009361, 0.0811018368302058, 0.163921847201363,          0.387978032092424, 0.177138384703249, 0.246283235408848,          0.246283235408848, 0.526621492045347, 0.279695275413424,          0.258594927218762, 0.186582621643492, 0.324283073315245,          0.297885151722028, 0.131281394661179, 0.401255348981324,          0.0497500971788425, 0.481496129777697, 0.270276303087269         ), PROX_SUPERMARKET = c(0.279112228601587, 0.367596841627256,          0.36017462873485, 0.289827711639516, 0.25256410508494,          0.500728516827066, 0.237159648524433, 0.233030240431279,          0.233030240431279, 0.596975645906049, 0.3481604922123,          0.297968471640837, 0.289364184128333, 0.337417678694655,          0.402675729717655, 0.37748716441855, 0.338457664260807,          0.442456788826315, 0.432325009404537, 0.384544806397502         ), WITHIN_350M_KINDERGARTEN = c(4L, 6L, 7L, 4L, 4L, 0L,          3L, 1L, 1L, 0L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 0L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 3L, 3L, 3L,          3L, 7L, 7L, 3L, 7L, 7L, 7L, 3L, 9L, 5L, 5L, 2L, 6L, 6L         ), WITHIN_350M_BUS = c(11L, 9L, 11L, 10L, 12L, 8L, 10L,          15L, 15L, 4L, 14L, 17L, 16L, 9L, 12L, 14L, 8L, 12L, 8L,          11L), WITHIN_1KM_PRISCH = c(6L, 5L, 5L, 4L, 4L, 5L, 4L,          6L, 6L, 4L, 5L, 5L, 4L, 5L, 5L, 3L, 4L, 4L, 4L, 4L),          DNeighbour = c(0, 183.026876795437, 268.86477215462,          292.2859089799, 342.378634145183, 403.59119536407, 466.672525148331,          496.077238287778, 504.007138005063, 525.764402374841,          542.756537300104, 552.96384462413, 558.253312189251,          570.748380076954, 649.69955167701, 653.318087487998,          765.593096258363, 797.068112649786, 812.73064630847,          847.410386539282)), row.names = c("693", "414", "857",      "839", "748", "817", "169", "643", "571", "906", "257", "835",      "31", "870", "774", "910", "357", "300", "547", "369"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.908878163214245, 0.808802715891632, 0.776218335357012,      0.70016782692429, 0.597795638250589, 0.485425444308589, 0.432046473376981,      0.417650263802568, 0.378296896630396, 0.347834063791053,      0.32970535917119, 0.320372604249417, 0.298520129612535, 0.169899928302841,      0.164530236902592, 0.0337742460599985, 0.013290671520228,      0.00642786146692015, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       782875881 
R squared (OOB):                  0.3611427 

$Forests[[694]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(374000, 340000, 4e+05,      350000, 408000, 505000, 540000, 5e+05, 392000, 370000, 425000,      580000, 575000, 565000, 505000, 520000, 510000, 490000, 421000,      495000), floor_area_sqm = c(103, 104, 104, 105, 100, 92,      90, 92, 103, 98, 108, 92, 92, 92, 90, 92, 93, 92, 93, 93),          storey_order = c(2L, 1L, 2L, 1L, 4L, 4L, 3L, 3L, 2L,          2L, 3L, 4L, 4L, 3L, 6L, 1L, 3L, 3L, 4L, 3L), remaining_lease_mths = c(862,          869, 822, 837, 921, 1051, 1067, 1049, 833, 912, 820,          1140, 1137, 1127, 1033, 1138, 1076, 1038, 789, 1076),          PROX_CBD = c(11.0478583208432, 10.9782438935663, 10.8294299245227,          10.9742090734032, 10.7481925626994, 11.4388659085475,          11.5237533038112, 11.4975151935682, 10.8307618753175,          10.6430674352334, 10.7884209511687, 11.6525204845234,          11.6525204845234, 11.6525204845234, 11.6571985599938,          11.6952918230505, 11.734228152501, 11.6213283462416,          10.8005053894847, 11.7824349405223), PROX_ELDERLYCARE = c(0.694826263841934,          0.748731634955849, 0.925828280583076, 0.852070403211021,          1.00181077128688, 0.529438756707198, 0.374021376468387,          0.485429735975203, 1.12487398858542, 1.10983952182968,          1.11323464510705, 0.090696724945174, 0.090696724945174,          0.090696724945174, 0.400746835300904, 0.0818897866131208,          0.217445500321488, 0.621923465733728, 1.11154389564577,          0.213047345375207), PROX_HAWKER = c(0.33156405975617,          0.421987441153261, 0.558859907936318, 0.487483409830997,          0.591883114810231, 0.319632581294072, 0.235307086042243,          0.320302217757218, 0.775872885593274, 0.494234864614673,          0.812377793689625, 0.325622570567264, 0.325622570567264,          0.325622570567264, 0.38372613736418, 0.374319678668878,          0.366555491930585, 0.537052085835962, 0.918995125488027,          0.411134055372247), PROX_MRT = c(0.413251174688675, 0.516121726350597,          0.633065114071651, 0.534522073584246, 0.80807654444201,          0.264110896255266, 0.148196296616071, 0.24936700359253,          0.568072215940967, 0.91242151857363, 0.526269526678983,          0.219824289848129, 0.219824289848129, 0.219824289848129,          0.187661086924798, 0.18359152527436, 0.276453864170284,          0.182944945438028, 0.566932323762424, 0.323171872402698         ), PROX_PARK = c(0.855372307789476, 1.01560706627581,          0.822296725898933, 0.623434891123849, 1.13130385684233,          0.653351036954048, 0.808531626238996, 0.698336840868775,          0.443949121553361, 1.09293299728603, 0.467051942358664,          1.18955170998222, 1.18955170998222, 1.18955170998222,          0.822874314333037, 1.23082333360032, 1.00928973198994,          0.643411448820926, 0.370936327890873, 1.04913519120928         ), PROX_GOOD_PRISCH = c(1.96973866183315, 1.81228643023267,          1.88031331185984, 2.09882394138718, 1.51127824976447,          2.45055199705462, 2.43173748992112, 2.48345794754568,          2.22887532154294, 1.4206810513637, 2.2131785217075, 2.3279627535371,          2.3279627535371, 2.3279627535371, 2.58492752090912, 2.35260315569007,          2.54247396470066, 2.69528593883292, 2.34700895725274,          2.5757070458522), PROX_MALL = c(0.400154220571097, 0.231229629812008,          0.43093778326398, 0.606835933426222, 0.114469773448463,          0.840491697823826, 0.840908486660855, 0.805279144871904,          0.384053234723219, 0.220538248250442, 0.340751907865098,          0.807719243520252, 0.807719243520252, 0.807719243520252,          0.718523422751835, 0.785373664552542, 0.781937846313192,          0.597386337892971, 0.363372953846058, 0.732391369928616         ), PROX_CHAS = c(0.193330180912365, 0.23122963873357,          0.0390568763467083, 0.20965056306942, 0.0793642323922721,          0.210772889992189, 0.0822817354855642, 0.18789773503711,          0.2644107607892, 0.0703959269798554, 0.260152478655286,          0.162428164506486, 0.162428164506486, 0.162428164506486,          0.162236141473446, 0.141926234339659, 0.203102352137365,          0.130352204164602, 0.111289200730163, 0.182294192745256         ), PROX_SUPERMARKET = c(0.392366955335671, 0.231228589734032,          0.430936681100737, 0.477398814511427, 0.114469867006585,          0.189609627596398, 0.113409172087645, 0.186124684843571,          0.407226974513028, 0.220538485726081, 0.363982132031921,          0.158766807317564, 0.158766807317564, 0.158766807317564,          0.248678179468178, 0.137537075296593, 0.206717744357565,          0.0679201472407272, 0.386863986973968, 0.186528474083994         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 2L, 1L, 1L, 0L,          0L, 0L, 2L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 5L, 4L, 2L, 4L, 4L,          4L, 4L, 4L, 2L, 3L, 4L, 4L, 4L, 8L, 4L, 8L, 6L, 3L, 8L         ), WITHIN_350M_BUS = c(7L, 9L, 11L, 8L, 10L, 7L, 5L,          8L, 11L, 13L, 8L, 11L, 11L, 11L, 9L, 13L, 10L, 8L, 9L,          11L), WITHIN_1KM_PRISCH = c(6L, 5L, 6L, 6L, 6L, 5L, 4L,          4L, 6L, 6L, 6L, 6L, 6L, 6L, 5L, 6L, 5L, 6L, 5L, 7L),          DNeighbour = c(0, 174.808911358418, 233.095962566174,          252.241969552656, 465.328582707779, 479.895726286258,          500.116596412073, 515.433189195696, 558.541330192085,          560.290350149375, 582.747532001374, 638.553231309942,          638.687667937529, 638.982119346963, 653.307036981895,          679.821483650955, 681.795685757038, 726.632959539398,          727.621661868327, 734.426804171283)), row.names = c("694",      "317", "364", "239", "866", "271", "652", "553", "743", "627",      "696", "792", "580", "557", "977", "917", "409", "89", "56",      "260"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.889901793712977,      0.808680846678325, 0.777993173930433, 0.358272106129261,      0.328364095697702, 0.287608069803107, 0.257508497019747,      0.177763058954767, 0.174716983255182, 0.137197095556935,      0.0595569150175091, 0.0594016383752597, 0.0590621362007741,      0.0435583754635135, 0.0204987401095811, 0.0190965140253142,      0.000445702812336237, 0.000340254506645756, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       929790665 
R squared (OOB):                  0.8455548 

$Forests[[695]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(412000, 425000, 362500,      520000, 5e+05, 553000, 535000, 483000, 495000, 518000, 360000,      537000, 420000, 468000, 367000, 455000, 393000, 425000, 365000,      408000), floor_area_sqm = c(104, 104, 103, 93, 93, 93, 93,      93, 93, 93, 84, 93, 106, 106, 104, 113, 103, 104, 84, 105     ), storey_order = c(2L, 3L, 3L, 3L, 3L, 4L, 3L, 2L, 2L, 2L,      3L, 4L, 3L, 5L, 1L, 5L, 2L, 2L, 4L, 1L), remaining_lease_mths = c(878,      871, 819, 1133, 1131, 1134, 1131, 1129, 1131, 1132, 811,      1128, 874, 863, 879, 824, 818, 801, 787, 797), PROX_CBD = c(14.1313829663274,      14.0236082538335, 14.3801998083441, 13.7835124985007, 13.8777465201196,      13.8021184722805, 13.9851487819813, 13.9851487819813, 14.1234549986629,      14.0392008059995, 14.7472020389823, 14.1022978560303, 13.629257933267,      13.629257933267, 14.66420827852, 14.8805910833212, 14.8805910833212,      13.9224032790502, 13.5012180894848, 13.8987191813532), PROX_ELDERLYCARE = c(0.836104821253693,      1.09340394122649, 0.709377020411434, 1.04590518035641, 1.14875617578224,      1.08391670289184, 1.27246652758392, 1.27246652758392, 1.35242241046818,      1.32747908409073, 1.19052284520552, 1.39999761805574, 0.207468408301612,      0.207468408301612, 0.719957479461771, 1.53481387371296, 1.53481387371296,      0.160860892679658, 0.126566715598502, 0.166628987045545),          PROX_HAWKER = c(0.73352935155883, 0.594999289424802,          0.928921275219278, 0.817574416707151, 0.709523473368326,          0.792084042786722, 0.59565400543288, 0.59565400543288,          0.458626901673037, 0.543253862226502, 0.606039227085063,          0.488105393549706, 1.4012681206183, 1.4012681206183,          1.17971772396452, 0.395563323563994, 0.395563323563994,          1.57003684649171, 1.32455892398921, 1.60647998640073),          PROX_MRT = c(0.735653331318593, 0.469886084443941, 1.02650412956774,          0.648112836468654, 0.526263367583387, 0.615458599020507,          0.390641440388092, 0.390641440388092, 0.250036690549804,          0.327704984287647, 0.807097621625513, 0.255700458734308,          0.681065013996815, 0.681065013996815, 1.12495588646837,          0.650195396152393, 0.650195396152393, 0.375491068655226,          0.54422435083218, 0.337555536848429), PROX_PARK = c(0.463826523913091,          0.504422356794811, 0.71485218383349, 0.438074957540257,          0.548712671125698, 0.476945111703218, 0.580591669210194,          0.580591669210194, 0.469588575534173, 0.547177414231792,          0.432698189125414, 0.52092144022497, 0.403276931712581,          0.403276931712581, 0.823954351824118, 0.355836862982211,          0.355836862982211, 0.819174175884815, 0.593866981909781,          0.83983547285748), PROX_GOOD_PRISCH = c(2.52734391167264,          2.51794344218072, 2.72778429145315, 2.3007469286795,          2.41902859908312, 2.33081910479479, 2.55482099432271,          2.55482099432271, 2.69456588548322, 2.61966269686357,          3.13467644284063, 2.69832814229385, 1.96779323327463,          1.96779323327463, 2.99834463762659, 3.33079371618761,          3.33079371618761, 2.26578798898653, 1.8351788996921,          2.24487256678893), PROX_MALL = c(0.66282583229379, 0.418819234777705,          0.949257633150117, 0.615576551193732, 0.498678106329343,          0.585717052475653, 0.37312896686832, 0.37312896686832,          0.232476208076891, 0.316340524018432, 0.738705771798207,          0.257523814996123, 1.12429495075828, 1.12429495075828,          0.669111824361406, 0.390496575840073, 0.390496575840073,          1.34118728457461, 0.956400108312903, 1.33259876169033         ), PROX_CHAS = c(0.528800676490504, 0.151261605672147,          0.453083161817035, 0.253975316505048, 0.133705064347241,          0.221659659627321, 0.0604900109870272, 0.0604900109870272,          0.147334233235439, 0.101753514952091, 0.19051372613691,          0.177701329016163, 0.260044927245007, 0.260044927245007,          0.38494516455544, 0.448788349522024, 0.448788349522024,          0.0806372798138111, 0.0648495538885981, 0.0582471476749484         ), PROX_SUPERMARKET = c(0.528799775767506, 0.151260689076964,          0.513065398645433, 0.253974877653299, 0.133704798830233,          0.221659301316653, 0.0604908810371704, 0.0604908810371704,          0.147334782275979, 0.101754383553332, 0.326764101800336,          0.177702101069216, 0.288903462518554, 0.288903462518554,          0.384052647553184, 0.447693008221967, 0.447693008221967,          0.189550835904173, 0.329742543966106, 0.2065347950197         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          1L, 1L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 2L, 2L, 3L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 4L, 3L, 2L, 2L, 2L,          3L, 3L, 4L, 4L, 2L, 4L, 6L, 6L, 3L, 3L, 3L, 3L, 5L, 3L         ), WITHIN_350M_BUS = c(6L, 12L, 2L, 6L, 8L, 5L, 8L, 8L,          13L, 10L, 9L, 11L, 6L, 6L, 7L, 5L, 5L, 9L, 7L, 9L), WITHIN_1KM_PRISCH = c(2L,          2L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 2L, 3L,          2L, 2L, 3L, 4L, 4L), DNeighbour = c(0, 377.610926585038,          399.488949567881, 514.451638294739, 533.648083508668,          536.158613617589, 583.333271029109, 587.76461289698,          604.494005854523, 611.769839492288, 614.044158646286,          658.620245957522, 675.129336822188, 678.86271995094,          790.105490310348, 811.14243600375, 818.629612114684,          866.384102955358, 885.534578463985, 893.88431786503)), row.names = c("695",      "51", "3", "380", "579", "275", "819", "938", "212", "218",      "136", "815", "503", "415", "686", "852", "639", "219", "264",      "531"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.674937707333839,      0.640429420873252, 0.447256568866296, 0.414210844042992,      0.409895521580578, 0.32963222546336, 0.322216609433352, 0.294500249337245,      0.282602456666, 0.278904994364354, 0.208954494616188, 0.184520267265801,      0.179125183796846, 0.047837796242514, 0.0311736684127094,      0.0260141881470017, 0.00367032649295895, 0.000345761764689448,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1655367766 
R squared (OOB):                  0.6037152 

$Forests[[696]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 392000, 421000,      410000, 350000, 4e+05, 374000, 315000, 7e+05, 670000, 505000,      340000, 430000, 5e+05, 540000, 415000, 328000, 350880, 475000,      540000), floor_area_sqm = c(108, 103, 93, 93, 105, 104, 103,      91, 92, 92, 92, 104, 91, 92, 92, 92, 84, 91, 93, 90), storey_order = c(3L,      2L, 4L, 4L, 1L, 2L, 2L, 1L, 4L, 5L, 4L, 1L, 4L, 3L, 6L, 2L,      4L, 2L, 4L, 3L), remaining_lease_mths = c(820, 833, 789,      788, 837, 822, 862, 790, 1126, 1121, 1051, 869, 777, 1049,      1142, 1130, 806, 785, 1130, 1067), PROX_CBD = c(10.7884209511687,      10.8307618753175, 10.8005053894847, 10.7402382849343, 10.9742090734032,      10.8294299245227, 11.0478583208432, 10.6917699702976, 11.1573644039326,      11.0595651330709, 11.4388659085475, 10.9782438935663, 10.4167519306418,      11.4975151935682, 11.3687765497058, 11.3687765497058, 10.2439629519707,      10.3813809316332, 11.4536743231806, 11.5237533038112), PROX_ELDERLYCARE = c(1.11323464510705,      1.12487398858542, 1.11154389564577, 1.05196585123006, 0.852070403211021,      0.925828280583076, 0.694826263841934, 1.07660186858624, 1.34447435494956,      1.41694161867716, 0.529438756707198, 0.748731634955849, 0.852176862644424,      0.485429735975203, 1.27208236570677, 1.27208236570677, 0.904720646157319,      0.833489789321986, 1.19895989384568, 0.374021376468387),          PROX_HAWKER = c(0.812377793689625, 0.775872885593274,          0.918995125488027, 1.02652926791064, 0.487483409830997,          0.558859907936318, 0.33156405975617, 1.35937058559257,          1.10011050744246, 1.19495083476736, 0.319632581294072,          0.421987441153261, 1.55256346901264, 0.320302217757218,          1.07923254025891, 1.07923254025891, 0.616195579705155,          1.5910354083573, 1.02903329925728, 0.235307086042243),          PROX_MRT = c(0.526269526678983, 0.568072215940967, 0.566932323762424,          0.546812793492647, 0.534522073584246, 0.633065114071651,          0.413251174688675, 0.753106278920522, 0.876646963171676,          0.991329354536752, 0.264110896255266, 0.516121726350597,          0.686459009674335, 0.24936700359253, 0.671331594421278,          0.671331594421278, 0.52596302633555, 0.699917284291438,          0.573574303209013, 0.148196296616071), PROX_PARK = c(0.467051942358664,          0.443949121553361, 0.370936327890873, 0.401614025373747,          0.623434891123849, 0.822296725898933, 0.855372307789476,          0.536819237128991, 0.189026691537682, 0.275833477585303,          0.653351036954048, 1.01560706627581, 0.613918856542286,          0.698336840868775, 0.294690087030438, 0.294690087030438,          0.626908579085899, 0.616002692100522, 0.341254943367627,          0.808531626238996), PROX_GOOD_PRISCH = c(2.2131785217075,          2.22887532154294, 2.34700895725274, 2.39141973384207,          2.09882394138718, 1.88031331185984, 1.96973866183315,          2.68318776685765, 2.83177349547833, 2.8385375863655,          2.45055199705462, 1.81228643023267, 2.62113030487697,          2.48345794754568, 2.95589454100459, 2.95589454100459,          1.44855804010835, 2.6286340652406, 2.96812409551872,          2.43173748992112), PROX_MALL = c(0.340751907865098, 0.384053234723219,          0.363372953846058, 0.344610557976029, 0.606835933426222,          0.43093778326398, 0.400154220571097, 0.459259689573629,          0.831480717149744, 0.76911725394793, 0.840491697823826,          0.231229629812008, 0.350991485118426, 0.805279144871904,          0.814743407183115, 0.814743407183115, 0.644656189163291,          0.365493224544838, 0.714729745574342, 0.840908486660855         ), PROX_CHAS = c(0.260152478655286, 0.2644107607892,          0.111289200730163, 0.106045676778667, 0.20965056306942,          0.0390568763467083, 0.193330180912365, 0.0626028682349028,          0.0819321575559949, 0.0661119226245057, 0.210772889992189,          0.23122963873357, 0.302383860370021, 0.18789773503711,          0.257507761616553, 0.257507761616553, 0.155315138624813,          0.28517644723447, 0.31407050179696, 0.0822817354855642         ), PROX_SUPERMARKET = c(0.363982132031921, 0.407226974513028,          0.386863986973968, 0.357992185767737, 0.477398814511427,          0.430936681100737, 0.392366955335671, 0.550262392018624,          0.408274605358357, 0.444069124865739, 0.189609627596398,          0.231228589734032, 0.519095500550079, 0.186124684843571,          0.30094246041235, 0.30094246041235, 0.18505229065347,          0.49431722643315, 0.345653574215055, 0.113409172087645         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 2L, 2L, 1L, 2L,          1L, 1L, 1L, 2L, 0L, 2L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 4L, 3L, 3L, 2L, 4L,          2L, 3L, 3L, 3L, 4L, 5L, 6L, 4L, 3L, 3L, 1L, 6L, 2L, 4L         ), WITHIN_350M_BUS = c(8L, 11L, 9L, 6L, 8L, 11L, 7L,          7L, 6L, 9L, 7L, 9L, 9L, 8L, 10L, 10L, 10L, 10L, 8L, 5L         ), WITHIN_1KM_PRISCH = c(6L, 6L, 5L, 5L, 6L, 6L, 6L,          3L, 3L, 3L, 5L, 5L, 2L, 4L, 3L, 3L, 6L, 2L, 4L, 4L),          DNeighbour = c(0, 41.8745608697473, 160.924632279083,          247.856008719147, 337.823576478143, 445.419571440304,          582.747532001374, 609.17838455634, 617.509016802271,          638.21486920447, 701.054588309366, 704.13725187062, 750.985028687538,          755.584141191541, 765.314419699942, 767.262328617553,          785.371795687997, 789.210004978491, 795.917562325596,          826.971263886432)), row.names = c("696", "743", "56",      "6", "239", "364", "694", "569", "425", "407", "271", "317",      "480", "553", "876", "157", "668", "626", "132", "652"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99487855438991, 0.925699353691782, 0.828410683950037, 0.694092275026874,      0.503948501965036, 0.253442259799886, 0.20918236598734, 0.195737067158451,      0.163541234557459, 0.0791527899488733, 0.0756288581284374,      0.0307395934687474, 0.0272895219545526, 0.0206083342883134,      0.0193740711859673, 0.00961897481615971, 0.00796363584559502,      0.00543053497820503, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5973637402 
R squared (OOB):                  0.4693955 

$Forests[[697]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(333000, 3e+05, 325000,      360000, 420000, 428000, 425000, 431000, 395000, 395000, 426000,      410000, 330000, 355000, 308000, 360000, 315000, 365000, 380000,      345000), floor_area_sqm = c(103, 84, 84, 99, 90, 90, 92,      92, 92, 90, 92, 92, 103, 103, 84, 103, 84, 107, 93, 103),          storey_order = c(2L, 2L, 2L, 2L, 8L, 8L, 6L, 9L, 4L,          5L, 6L, 2L, 2L, 3L, 1L, 1L, 3L, 1L, 1L, 5L), remaining_lease_mths = c(788,          797, 783, 796, 1011, 1008, 1006, 1010, 1010, 1010, 1012,          1004, 800, 793, 795, 777, 788, 766, 1142, 944), PROX_CBD = c(14.3532733654858,          14.3169519114025, 14.1279251783367, 13.8977069202737,          13.8798013735997, 13.8412030491349, 14.0603534116893,          14.0603534116893, 14.0603534116893, 13.990153115514,          14.0324943086614, 14.000256381606, 13.46147060752, 13.46147060752,          13.3304860768802, 13.7231688188033, 13.0463978034086,          13.578535689825, 15.6174435761395, 15.6615925135045),          PROX_ELDERLYCARE = c(1.6760601574403, 1.55261218152075,          1.66641228888996, 1.56746404607568, 1.77270985488013,          1.74703283433278, 1.50084223071099, 1.50084223071099,          1.50084223071099, 1.56992496550613, 1.51384309451853,          1.50178268661881, 1.01995663096129, 1.01995663096129,          0.85382998667073, 0.681177733621966, 0.612412426395362,          0.535215785060316, 0.457575537702088, 0.372854461013726         ), PROX_HAWKER = c(0.99569743308136, 1.19367588944735,          1.24304803992561, 1.04237506554324, 1.47024255459416,          1.43519165592487, 1.69193386873811, 1.69193386873811,          1.69193386873811, 1.69002608854433, 1.73133481154049,          1.77005964815816, 1.03983060555389, 1.03983060555389,          1.09459947163448, 0.601426993813282, 1.36023111372333,          0.775756145922257, 2.21004723991438, 2.39243139523594         ), PROX_MRT = c(0.756418829435307, 0.753004841751307,          0.59155533687368, 0.300373388684648, 0.523014705157119,          0.462396576385451, 0.836549486170002, 0.836549486170002,          0.836549486170002, 0.789673249073619, 0.85175230125279,          0.865600228728207, 0.367668143276235, 0.367668143276235,          0.525688124362732, 0.498221170198522, 0.622051877914657,          0.357978123578611, 0.70935210619912, 0.499275570100955         ), PROX_PARK = c(1.20426051281307, 1.00962818739137,          1.00515750023779, 0.782220037546154, 0.782127938386311,          0.752068597068081, 0.66093693759156, 0.66093693759156,          0.66093693759156, 0.716145735764812, 0.65310707550057,          0.652876507033438, 0.582693033366388, 0.582693033366388,          0.620743454357064, 1.26781451063295, 0.572775970192077,          1.33984402369384, 1.21748666352844, 1.19384102986047),          PROX_GOOD_PRISCH = c(4.29145341198416, 4.27446656255715,          4.09179045416031, 3.83525569342672, 3.87304276717541,          3.82728738248792, 4.09775909461572, 4.09775909461572,          4.09775909461572, 4.0269654833207, 4.07805978762992,          4.05408625233137, 3.38131302543864, 3.38131302543864,          3.24954726475941, 3.673854441535, 2.96540091825049, 3.55013641033528,          5.63578467655705, 5.71328270316738), PROX_MALL = c(1.45738633765159,          1.50622914679999, 1.48884664162065, 1.14150204308926,          1.33861894221302, 1.33339622609195, 1.38265334141638,          1.38265334141638, 1.38265334141638, 1.32125061115982,          1.34360210764349, 1.30130189944441, 0.644549177151603,          0.644549177151603, 0.513372166694422, 0.406890039239853,          0.587476612974174, 0.305514521023982, 0.401390812484646,          0.238209845871265), PROX_CHAS = c(0.0428610630237518,          0.149961616171305, 0.283027750434604, 0.162936326565904,          0.058882652003164, 0.116038559859119, 0.266609427013402,          0.266609427013402, 0.266609427013402, 0.231188025602735,          0.288579392766018, 0.313291309929199, 0.348399033159575,          0.348399033159575, 0.472814153962233, 0.176857487498571,          0.40513819943783, 0.282171570268124, 0.187858028295528,          0.238209795937414), PROX_SUPERMARKET = c(0.400567683079086,          0.277976240278344, 0.283027750434408, 0.162936951836525,          0.0588826520022197, 0.116038559858059, 0.266609427014493,          0.266609427014493, 0.266609427014493, 0.231188025603748,          0.288579392767071, 0.313291309930196, 0.356146193343619,          0.356146193343619, 0.510727353781082, 0.270532795629183,          0.599997973636583, 0.281417393052806, 0.412009517866082,          0.238833101010687), WITHIN_350M_KINDERGARTEN = c(2L,          3L, 2L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L,          0L, 2L, 1L, 3L, 3L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 4L, 2L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 4L,          2L, 4L, 3L, 5L), WITHIN_350M_BUS = c(10L, 9L, 10L, 5L,          5L, 5L, 4L, 4L, 4L, 4L, 4L, 3L, 6L, 6L, 5L, 8L, 7L, 10L,          15L, 16L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 3L, 2L,          3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 3L,          3L), DNeighbour = c(0, 201.729469152976, 331.041127599216,          462.330083691716, 633.676380700443, 637.28700289018,          747.812518691111, 750.90202032239, 752.748242006909,          768.310254251429, 791.362368314239, 841.348058694235,          965.957721029981, 974.977993061126, 1139.623212624, 1229.03915775828,          1397.11073737959, 1433.77040185789, 1469.28979711575,          1621.93639558129)), row.names = c("697", "650", "893",      "479", "877", "678", "241", "55", "805", "276", "675", "726",      "526", "332", "61", "960", "987", "856", "766", "572"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.969300671829493, 0.918419784055751, 0.84409699055033, 0.718019539273176,      0.715066302164218, 0.620033786164754, 0.617264985264446,      0.615607929595002, 0.601569171433594, 0.580555302664755,      0.534241930296337, 0.416425361315202, 0.407880275149531,      0.256349120458923, 0.181304949690798, 0.0665727130665447,      0.0477716630139219, 0.0321736663794434, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       611169168 
R squared (OOB):                  0.6821376 

$Forests[[698]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 310000, 370000,      323000, 310000, 420000, 362000, 565000, 415000, 423888, 4e+05,      4e+05, 508000, 395000, 365000, 568000, 315000, 418000, 412000,      390000), floor_area_sqm = c(93, 105, 92, 104, 84, 92, 92,      92, 92, 92, 92, 92, 92, 92, 92, 92, 84, 92, 92, 92), storey_order = c(4L,      3L, 1L, 2L, 2L, 3L, 1L, 5L, 5L, 5L, 3L, 2L, 1L, 2L, 1L, 4L,      3L, 5L, 5L, 2L), remaining_lease_mths = c(1141, 827, 1146,      806, 811, 1144, 1135, 1117, 1144, 1136, 1143, 1137, 1121,      1146, 1137, 1117, 804, 1138, 1144, 1139), PROX_CBD = c(15.719551353229,      15.6029325535915, 15.87024444961, 15.5926635355646, 15.7493840144196,      15.9392575628934, 15.9297907572658, 15.5121102277751, 15.9533618390172,      15.9500375777464, 16.0475930141239, 16.0475930141239, 15.4653265021947,      16.0046521285213, 16.0046521285213, 15.3987887594526, 15.9050437012323,      16.0903666266177, 16.0903666266177, 16.0085061296439), PROX_ELDERLYCARE = c(0.251997184681221,      0.338118814836049, 0.10693627682917, 0.348154483747206, 0.392042381698264,      0.0436662178849567, 0.0463608633689567, 0.536539272984936,      0.251148223850536, 0.0923316964070077, 0.129564145964732,      0.129564145964732, 0.595913887497293, 0.20718686492254, 0.20718686492254,      0.578356799737993, 0.346730428331521, 0.179967723198436,      0.179967723198436, 0.133825008100465), PROX_HAWKER = c(0.543607139892928,      0.432858942767381, 0.694651515851724, 0.438799857473275,      0.617009737136425, 0.765854363537175, 0.768716574287481,      0.396815374523363, 0.802087399746937, 0.798502368740115,      0.872301448799324, 0.872301448799324, 0.380307090885425,      0.855932206484513, 0.855932206484513, 0.294909248784724,      0.79668564149145, 0.9143232220583, 0.9143232220583, 0.86073340068049     ), PROX_MRT = c(1.04322565796881, 1.13678031777592, 1.09555222562317,      1.20427337027458, 0.825478596695925, 1.14464062157712, 1.23034399571509,      0.8698145169005, 0.8851452059773, 1.27956490520873, 1.14436247830993,      1.14436247830993, 0.848209897671344, 0.883219311345816, 0.883219311345816,      0.921278705332003, 0.750476153315833, 1.13213387762555, 1.13213387762555,      1.31406230168452), PROX_PARK = c(0.60075194434184, 0.578149656320062,      0.707790886000148, 0.608584573014238, 0.423881452963658,      0.777956069134633, 0.846978318526899, 0.357009242210065,      0.589052524814441, 0.8970097589344, 0.824988291997923, 0.824988291997923,      0.321827820326955, 0.619767633008914, 0.619767633008914,      0.283836897691409, 0.475878847958935, 0.83568858459355, 0.83568858459355,      0.947603217866828), PROX_GOOD_PRISCH = c(6.34176102939636,      6.24898658848638, 6.49806658702102, 6.25532900137267, 6.32317863359129,      6.57394481891556, 6.58539462985877, 6.0946998605156, 6.52939634907869,      6.61604918176311, 6.67335529701902, 6.67335529701902, 6.04109347904609,      6.57618460349959, 6.57618460349959, 5.98797030068414, 6.45664561130608,      6.70919168347838, 6.70919168347838, 6.67823761190993), PROX_MALL = c(0.460595397283409,      0.60644342729779, 0.388975340293238, 0.657431321444681, 0.340817581482914,      0.391567182053879, 0.478634609766659, 0.577683661914992,      0.161178852361569, 0.517477751202279, 0.339403259296736,      0.339403259296736, 0.62067023459119, 0.110811660449771, 0.110811660449771,      0.692287086677849, 0.18299798168314, 0.311149009276151, 0.311149009276151,      0.528820301792356), PROX_CHAS = c(0.269388612247007, 0.336408570757183,      0.140210421841136, 0.337342861051532, 0.347229964463676,      0.0895372628546906, 4.95402698497433e-08, 0.14804241676277,      0.165813590617473, 0.0505118784777886, 0.16574506375663,      0.16574506375663, 0.114224376246159, 0.114687044901222, 0.114687044901222,      0.0335692412129841, 0.190026772642962, 0.215238065300109,      0.215238065300109, 0.104680199868824), PROX_SUPERMARKET = c(0.219989756424723,      0.338214025323699, 0.287679129281494, 0.403551045123396,      2.98731019421495e-07, 0.354688671920554, 0.427887094284235,      0.237787830949247, 0.162291812321236, 0.47836894165083, 0.344658205065017,      0.344658205065017, 0.284849629955282, 0.112847248683738,      0.112847248683738, 0.352133387221186, 0.179336240856332,      0.316789996913415, 0.316789996913415, 0.525839072677995),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 4L, 4L, 5L, 3L,          5L, 2L, 3L, 4L, 2L, 2L, 1L, 3L, 3L, 1L, 4L, 2L, 2L, 2L         ), WITHIN_350M_BUS = c(5L, 6L, 8L, 6L, 7L, 9L, 7L, 6L,          8L, 7L, 9L, 9L, 7L, 7L, 7L, 6L, 8L, 8L, 8L, 7L), WITHIN_1KM_PRISCH = c(3L,          4L, 4L, 2L, 6L, 4L, 3L, 4L, 5L, 3L, 4L, 4L, 4L, 5L, 5L,          4L, 6L, 4L, 4L, 3L), DNeighbour = c(0, 139.597895462713,          158.59026616576, 197.061625126176, 227.565493925629,          240.174427921076, 266.495114743972, 288.705232295258,          307.214623037894, 319.760182181844, 340.301303949802,          341.049951945254, 349.741979129481, 358.344507476855,          359.026089243499, 367.416964376735, 370.020081870012,          376.083366172634, 377.042037936555, 378.101724205427)), row.names = c("698",      "924", "582", "458", "956", "517", "654", "605", "124", "912",      "28", "440", "962", "408", "594", "714", "59", "249", "919",      "653"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.745953525838353,      0.679094143880116, 0.530514592318205, 0.40673877589722, 0.355820368920993,      0.253233723648918, 0.173862758499672, 0.115473408463447,      0.081107340512604, 0.0360823598757382, 0.034739561695892,      0.0208471298997412, 0.0103585504384494, 0.00967406434232285,      0.00310464513840823, 0.0017885836170786, 0.000113375096204805,      3.13313610341257e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3979455058 
R squared (OOB):                  0.2564644 

$Forests[[699]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(660000, 620000, 515000,      560000, 451000, 488000, 385000, 409500, 418000, 465000, 678000,      520000, 290000, 538000, 590000, 650000, 640000, 580000, 545000,      725000), floor_area_sqm = c(105, 103, 84, 105, 83, 104, 93,      84, 84, 91, 92, 107, 87, 90, 90, 90, 90, 90, 101, 90), storey_order = c(6L,      4L, 4L, 2L, 8L, 1L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 5L, 2L, 6L,      2L, 1L, 1L, 9L), remaining_lease_mths = c(748, 742, 804,      913, 604, 776, 772, 807, 804, 764, 1103, 892, 643, 995, 996,      1011, 1011, 1006, 938, 995), PROX_CBD = c(3.5952466633456,      3.79744534670369, 3.75781957676323, 3.91005014077452, 3.63056019358172,      4.16405648472164, 4.25035751849909, 4.20973993763024, 4.20973993763024,      4.28329341592686, 3.93031212371417, 4.23142849537126, 4.35364804731157,      4.4759193492502, 2.69989267302812, 2.65695642963531, 2.65695642963531,      2.65695642963531, 3.59494173601466, 2.61519687417969), PROX_ELDERLYCARE = c(0.354500614782039,      0.296175206272889, 0.582389211118023, 0.449207181019876,      0.124703716495981, 0.434539750657667, 0.411587417191489,      0.156291063754703, 0.156291063754703, 0.4193003334471, 0.159701117649001,      0.272010492111063, 0.402111762367986, 0.136621520737764,      0.352346052518342, 0.3590471791371, 0.3590471791371, 0.3590471791371,      0.692364880740494, 0.386066702151211), PROX_HAWKER = c(0.311385334077859,      0.300770398866256, 0.393163811818296, 0.464701711390969,      0.0619655343942362, 0.502732414569621, 0.610932712322496,      0.46881842734995, 0.46881842734995, 0.638679046714181, 0.374782156946409,      0.392124905911543, 0.52502919100195, 0.736355433757935, 0.468835135082758,      0.48810855559281, 0.48810855559281, 0.48810855559281, 0.142789347249218,      0.52081126471543), PROX_MRT = c(0.16267041353008, 0.195276091150508,      0.434583879195091, 0.361698258812245, 0.188513622979597,      0.518003091395578, 0.605174310138743, 0.750034220630686,      0.750034220630686, 0.637237645879563, 0.57487373386568, 0.870814763860364,      0.698417082344063, 0.930431293452388, 0.230131940688868,      0.285614625668497, 0.285614625668497, 0.285614625668497,      0.346622733589529, 0.320255480062021), PROX_PARK = c(0.796125682214674,      0.620239922284967, 0.885911587583127, 0.651892034671684,      0.634729277660292, 0.269719137898212, 0.346786980248178,      0.828179073128827, 0.828179073128827, 0.336599362476296,      0.43227753152338, 0.989030190878471, 0.0959047492621704,      0.786607284590569, 0.41386436288237, 0.426964305014519, 0.426964305014519,      0.426964305014519, 1.03638785093261, 0.427354201328866),          PROX_GOOD_PRISCH = c(4.26949140427292, 4.13618512399158,          3.98479480133756, 3.96984616110429, 4.47678155678584,          3.99853475328204, 3.87277035706644, 3.58178441884724,          3.58178441884724, 3.85984302070176, 4.55218800106713,          3.47561641519302, 4.11088283479722, 3.43096694593549,          4.75214496578899, 4.78575462214909, 4.78575462214909,          4.78575462214909, 4.68517728936996, 4.82322880287643),          PROX_MALL = c(0.962766222186716, 1.16769889708728, 1.1081035152608,          1.2652175398851, 0.917363569028491, 1.00998414702412,          0.955673327573223, 1.26743973989934, 1.26743973989934,          0.92062293894618, 1.09934779211931, 1.1888213641646,          0.801857467962545, 1.02435160052226, 0.380876218870723,          0.412388661644518, 0.412388661644518, 0.412388661644518,          0.814872047472938, 0.426721378040506), PROX_CHAS = c(0.0963682910788478,          0.121619853002556, 0.345906079563203, 0.108899254787234,          0.112941217538546, 0.147909276913635, 0.260827480873255,          0.163154212627783, 0.163154212627783, 0.285886541141976,          0.304936065418075, 0.106822211501606, 0.130252709580884,          0.105578702221058, 0.202908600866322, 0.260712311456847,          0.260712311456847, 0.260712311456847, 0.0573592222158038,          0.297575542785259), PROX_SUPERMARKET = c(0.269187390315468,          0.191561540751545, 0.128350069204848, 0.115229795891962,          0.0867224629960944, 0.506391752127701, 0.512280309006142,          0.118448079318654, 0.118448079318654, 0.506434284786685,          0.35411008396507, 0.139079920157556, 0.591301773724787,          0.0670716613901785, 0.44532403657541, 0.447218369070658,          0.447218369070658, 0.447218369070658, 0.0573596645426592,          0.470018893217644), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 0L, 1L,          2L, 2L, 2L, 1L, 2L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 5L, 6L, 5L, 3L, 3L, 4L, 3L, 6L, 4L, 2L, 2L, 2L,          2L, 2L, 3L, 2L), WITHIN_350M_BUS = c(6L, 5L, 3L, 5L,          4L, 5L, 5L, 7L, 7L, 5L, 5L, 7L, 6L, 5L, 4L, 3L, 3L, 3L,          4L, 3L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 3L,          3L, 3L, 3L, 3L, 1L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 0L, 2L         ), DNeighbour = c(0, 208.627732479835, 309.513543280907,          323.068799450756, 343.918637339284, 602.791252660933,          667.126083284021, 692.09316281536, 694.822385692036,          706.043203890771, 757.692883605033, 799.318592688773,          891.633240150347, 912.141778614094, 1187.89404006481,          1251.67451608351, 1252.36853478196, 1256.90542660273,          1266.61014091324, 1300.94265001272)), row.names = c("699",      "952", "234", "176", "237", "223", "19", "382", "907", "747",      "801", "849", "532", "411", "796", "821", "521", "246", "997",      "923"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.949226502471677,      0.889997023968094, 0.880463246569797, 0.865110575643867,      0.616707321284566, 0.543219172392028, 0.514064350327225,      0.51086226007327, 0.497671928472204, 0.436641910750084, 0.38749913939919,      0.281177211305146, 0.258474567299367, 0.0276369839874297,      0.00552167690084202, 0.00537012859528706, 0.00442952076265397,      0.00271279667246931, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10373748377 
R squared (OOB):                  0.1653538 

$Forests[[700]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418000, 460000, 415000,      420000, 435000, 436000, 440000, 420000, 440000, 456500, 395000,      365000, 441000, 445000, 425000, 358000, 420000, 450000, 415000,      450000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 94, 94, 93, 94, 94, 93, 94, 94, 94, 93), storey_order = c(6L,      7L, 8L, 6L, 2L, 7L, 8L, 5L, 5L, 8L, 4L, 1L, 6L, 6L, 6L, 1L,      7L, 7L, 6L, 9L), remaining_lease_mths = c(1129, 1125, 1140,      1142, 1128, 1139, 1142, 1132, 1124, 1144, 1113, 1095, 1097,      1109, 1119, 1103, 1120, 1119, 1120, 1136), PROX_CBD = c(12.02897658153,      12.02897658153, 12.02897658153, 12.02897658153, 12.042332185553,      12.042332185553, 12.042332185553, 12.042332185553, 12.0234479092478,      11.9527102757424, 11.9744040829633, 11.7965908296893, 11.8078122246038,      12.1122271384014, 11.9828723130509, 11.8075546541859, 12.0119641769274,      12.0119641769274, 11.7484946081343, 12.1741021183779), PROX_ELDERLYCARE = c(0.841755023464642,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.938035651111226, 0.819362766143575,      0.738781707341689, 1.00802268588986, 0.95260617550949, 0.629785153682861,      0.710325725805382, 0.922118515238085, 0.673044116243487,      0.673044116243487, 1.16050252277995, 0.519600844901231),          PROX_HAWKER = c(0.409616357379742, 0.409616357379742,          0.409616357379742, 0.409616357379742, 0.369655971945997,          0.369655971945997, 0.369655971945997, 0.369655971945997,          0.507473565259923, 0.27814297307049, 0.217370340361849,          0.337854809554552, 0.262687630178652, 0.337796349528525,          0.20448046373977, 0.209140712961875, 0.222580914455278,          0.222580914455278, 0.512143004921159, 0.375471053349032         ), PROX_MRT = c(0.331072457322778, 0.331072457322778,          0.331072457322778, 0.331072457322778, 0.298263347673859,          0.298263347673859, 0.298263347673859, 0.298263347673859,          0.394231498000209, 0.200702114351669, 0.167322140356011,          0.249549573241666, 0.173777829752023, 0.302747284955937,          0.170867756883987, 0.120215557602138, 0.201095784108649,          0.201095784108649, 0.425815084561206, 0.338849049026276         ), PROX_PARK = c(0.529446955515876, 0.529446955515876,          0.529446955515876, 0.529446955515876, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.542226246468638,          0.506408767470305, 0.643017670933737, 0.679906922269617,          0.739061594864021, 0.746013140888617, 0.576425078157325,          0.697136724289492, 0.747098338531098, 0.691047645736797,          0.691047645736797, 0.660489483199184, 0.612679613149166         ), PROX_GOOD_PRISCH = c(2.36775586018775, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.39172047379238, 2.270018309959, 2.27223739349538, 2.14271827973834,          2.13533890725473, 2.408030235171, 2.27447890050516, 2.12338877581429,          2.29976812492723, 2.29976812492723, 2.14657014261275,          2.45580221931744), PROX_MALL = c(0.358721564938295, 0.358721564938295,          0.358721564938295, 0.358721564938295, 0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.441394824612777, 0.232344363503357, 0.214069216816763,          0.241737870027575, 0.17025857997445, 0.350899017798137,          0.220402811054307, 0.119447773727589, 0.251262654177611,          0.251262654177611, 0.411213390710639, 0.416829357908565         ), PROX_CHAS = c(0.25157977989641, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.223839041128234, 0.146038815472653, 0.0939357367291076,          0.101692541492014, 0.170258520163124, 0.0703863092474096,          0.0995919009989899, 0.11944771257822, 0.131248018016709,          0.131248018016709, 0.0876622280470988, 0.0461624602204791         ), PROX_SUPERMARKET = c(0.314501000490003, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.244018176385425, 0.237998550380205, 0.22318738818849,          0.17897337633635, 0.168966076328732, 0.360308355053667,          0.230351837454113, 0.119571834445138, 0.261515416493987,          0.261515416493987, 1.21715176356525e-07, 0.427183407476201         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 2L, 5L, 7L, 3L, 4L, 7L, 6L, 4L, 6L, 6L, 2L, 7L         ), WITHIN_350M_BUS = c(11L, 11L, 11L, 11L, 10L, 10L,          10L, 10L, 10L, 12L, 10L, 9L, 11L, 7L, 7L, 10L, 6L, 6L,          11L, 5L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L         ), DNeighbour = c(0, 4.16860475045436, 6.0566132822839,          7.78413665035598, 59.4165877752902, 60.4119461050419,          60.7157761152799, 62.4463550220621, 119.181858808251,          133.170118449021, 212.118867957956, 224.716076384987,          225.870843219172, 232.572456989693, 245.0597836219, 248.960010545473,          268.37880221254, 273.537815279564, 330.489550909553,          339.808008845316)), row.names = c("700", "874", "287",      "318", "908", "573", "16", "634", "502", "749", "858", "41",      "439", "607", "203", "724", "167", "947", "441", "621"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999699038091093, 0.999364737126304, 0.998950772380612,      0.939787324698051, 0.937785685334795, 0.937168497553395,      0.93359802273154, 0.769105165678502, 0.716419819435142, 0.372508832319951,      0.316606826051504, 0.311556105945123, 0.282561344258031,      0.230315485025934, 0.214577760228089, 0.141543916084461,      0.123911856008058, 0.00292609844394586, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       788784716 
R squared (OOB):                  -0.0624314 

$Forests[[701]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 380000, 347000,      320000, 370000, 335000, 325000, 680000, 660000, 390000, 3e+05,      380000, 350000, 735000, 388800, 333000, 365000, 562000, 540000,      462000), floor_area_sqm = c(92, 92, 90, 90, 84, 83, 82, 87,      87, 92, 92, 92, 92, 97, 98, 89, 83, 107, 107, 105), storey_order = c(5L,      2L, 5L, 2L, 3L, 3L, 4L, 6L, 3L, 1L, 2L, 4L, 4L, 6L, 2L, 1L,      1L, 7L, 6L, 1L), remaining_lease_mths = c(694, 687, 672,      672, 673, 687, 666, 1076, 1066, 685, 691, 693, 688, 1066,      697, 692, 777, 957, 969, 965), PROX_CBD = c(10.5902646894981,      10.571248724537, 10.5036676165143, 10.5036676165143, 10.6549850760698,      10.5501175985891, 10.0782341562763, 10.1126951054664, 10.1126951054664,      10.3184291669162, 10.7273754880637, 10.7273754880637, 10.7428660694501,      9.96973817000633, 10.7178846249378, 10.7178846249378, 11.0884508558618,      10.9472701195372, 11.0486323727393, 10.9320040827019), PROX_ELDERLYCARE = c(0.476382036969741,      0.426373779355343, 0.346712236264009, 0.346712236264009,      0.531453703929196, 0.724362239545807, 0.248412112584261,      0.511544492658224, 0.511544492658224, 0.724299376510179,      0.968089576161562, 0.968089576161562, 1.00386291289403, 0.560133969723593,      0.903749132751209, 0.903749132751209, 1.02650055154577, 0.867518349265545,      0.974567200018427, 0.83761180429981), PROX_HAWKER = c(0.142004884371921,      0.155284554597335, 0.255376275980047, 0.255376275980047,      0.345053577007401, 0.496328097640832, 0.250435976222025,      0.268370020499938, 0.268370020499938, 0.285348407142059,      0.259491073356982, 0.259491073356982, 0.19921426515349, 0.246219700947935,      0.131164348467149, 0.131164348467149, 0.698836827436486,      0.429153921265228, 0.436692566666558, 0.499252912381913),          PROX_MRT = c(0.793335563342317, 0.822399768635659, 0.908007357991278,          0.908007357991278, 0.849090589690401, 0.92637591011884,          0.622308556906305, 0.549740095282867, 0.549740095282867,          0.752281430413819, 0.880392787161762, 0.880392787161762,          0.911557541227745, 0.405168801785449, 0.897030842789514,          0.897030842789514, 0.761094255738083, 0.638393210693291,          0.741783227751877, 0.582189406643083), PROX_PARK = c(0.57091664624863,          0.471129460807546, 0.381418159266178, 0.381418159266178,          0.204920490916151, 0.888350706343443, 0.627458410441261,          0.878497256111703, 0.878497256111703, 1.05219739289641,          0.675703893946554, 0.675703893946554, 0.65460215425144,          0.868342722448078, 0.68415716278098, 0.68415716278098,          0.300475000526789, 0.730900012581548, 0.644279497097323,          0.802226928628916), PROX_GOOD_PRISCH = c(0.962114901666907,          0.876989954992127, 0.825686703361669, 0.825686703361669,          0.576127248022356, 1.37609088117382, 1.26151864262594,          1.46177539101005, 1.46177539101005, 1.54472866778257,          1.51964159199475, 1.51964159199475, 1.57772010642862,          1.55873028154778, 1.69245386393467, 1.69245386393467,          0.293049282005855, 1.50789829567152, 1.50173151878208,          1.4460454342776), PROX_MALL = c(0.838333779631814, 0.872531493441133,          0.873995522285645, 0.873995522285645, 1.12054305374088,          0.693136328895784, 0.418279044459304, 0.269774803261538,          0.269774803261538, 0.472532088410597, 0.885934538444454,          0.885934538444454, 0.913300066979642, 0.129560175686973,          0.922177591154216, 0.922177591154216, 1.6122764231009,          1.34630282297423, 1.41292867182356, 1.37776203899083),          PROX_CHAS = c(0.0950095589968322, 0.109732367463933,          0.217153936659979, 0.217153936659979, 0.290835710912963,          0.120595382532287, 0.186550674976261, 0.20472250196774,          0.20472250196774, 0.165961529218061, 0.161497017697243,          0.161497017697243, 0.184868017131885, 0.0647243745052949,          0.141741960002869, 0.141741960002869, 0.206694589078668,          0.344403926608958, 0.375455350402476, 0.293630149165848         ), PROX_SUPERMARKET = c(0.190547463602814, 0.199099262156692,          0.291549431934698, 0.291549431934698, 0.292451786949051,          0.448117335537485, 0.255147915067147, 0.35798039621586,          0.35798039621586, 0.447507928623339, 0.294310303883692,          0.294310303883692, 0.247977273863763, 0.241122798862169,          0.141741503991008, 0.141741503991008, 0.293331714819264,          0.381194313170787, 0.408205375796458, 0.445162931243089         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 1L, 2L,          1L, 1L, 1L, 1L, 2L, 2L, 2L, 0L, 2L, 2L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 2L, 2L, 1L, 2L,          5L, 6L, 6L, 4L, 3L, 3L, 3L, 6L, 4L, 4L, 3L, 0L, 0L, 0L         ), WITHIN_350M_BUS = c(6L, 5L, 6L, 6L, 7L, 6L, 5L, 6L,          6L, 7L, 4L, 4L, 5L, 7L, 6L, 6L, 8L, 2L, 2L, 0L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 2L, 2L, 5L, 2L, 3L, 3L, 5L, 5L, 5L, 5L, 2L, 5L,          5L, 1L, 4L, 3L, 4L), DNeighbour = c(0, 100.998395726167,          206.694575441028, 213.24531634222, 404.376287475464,          415.33940737004, 513.605633173428, 566.989764343726,          571.435876128667, 580.806910132728, 603.267194295226,          607.953220286276, 669.301935285555, 707.980238000408,          769.511894154493, 778.513270453145, 825.577227468394,          1294.22425732092, 1295.06872328073, 1356.8812079796)), row.names = c("701",      "210", "482", "940", "728", "778", "84", "316", "506", "97",      "648", "651", "43", "471", "429", "914", "98", "255", "630",      "671"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.988949790106017,      0.95412921003867, 0.951212486911672, 0.830257587763526, 0.821386325861877,      0.733974625612183, 0.681270198715271, 0.676739478785504,      0.667124733808993, 0.643737080579115, 0.638799737186275,      0.572579292111259, 0.529628523674336, 0.460195434650815,      0.44998427613249, 0.396653043491399, 0.00814001507537121,      0.00792712547376451, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3762359351 
R squared (OOB):                  0.7812929 

$Forests[[702]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 350000, 380000,      412000, 390000, 395000, 390000, 350000, 390000, 377000, 350000,      368888, 340000, 375000, 368000, 420000, 385000, 4e+05, 370000,      350000), floor_area_sqm = c(92, 93, 93, 92, 92, 93, 92, 92,      93, 92, 92, 92, 92, 92, 92, 92, 92, 96, 92, 104), storey_order = c(2L,      1L, 3L, 3L, 4L, 4L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 1L, 2L, 4L,      3L, 2L, 1L, 3L), remaining_lease_mths = c(1142, 1111, 1110,      1128, 1142, 1108, 1128, 1131, 1113, 1135, 1111, 1102, 1133,      1139, 1100, 1133, 1132, 1098, 1090, 812), PROX_CBD = c(14.4940333615496,      14.6221320584002, 14.607628567626, 14.5596883563906, 14.5596883563906,      14.6649260398624, 14.5136499050456, 14.6346875310408, 14.6879879340018,      14.5662038835035, 14.8482953663728, 14.8482953663728, 14.8395197777251,      14.8395197777251, 14.9752079088984, 14.7615340778399, 14.9536689261967,      15.0414874321427, 15.0414874321427, 14.8739209120931), PROX_ELDERLYCARE = c(0.500918112427577,      0.410896008057539, 0.363539264939185, 0.399519357429504,      0.399519357429504, 0.374463671675583, 0.440212280139716,      0.318998242024868, 0.267910637295867, 0.396119369193007,      0.157028625587627, 0.157028625587627, 0.143171284390361,      0.143171284390361, 0.199763345782594, 0.301679225956583,      1.13414610370389e-06, 0.180026828914976, 0.180026828914976,      0.224374856243457), PROX_HAWKER = c(0.682637638745144, 0.55845452984231,      0.571839614015762, 0.625641729464286, 0.625641729464286,      0.515424723672587, 0.681591249319273, 0.567748890704442,      0.507741768149319, 0.661743266121302, 0.332945546865787,      0.332945546865787, 0.426817039061835, 0.426817039061835,      0.202333554334061, 0.582527401679673, 0.283688306330561,      0.135868389364205, 0.135868389364205, 0.490895901627697),          PROX_MRT = c(1.32800225952209, 1.30119397664661, 1.42703012637354,          1.46473462254762, 1.46473462254762, 1.31347134818138,          1.51230084146916, 1.53691575721219, 1.51619569366002,          1.61118001364451, 1.41585626072206, 1.41585626072206,          1.58589972239689, 1.58589972239689, 1.27457972333389,          1.75082728996661, 1.45204946878565, 1.27219969611937,          1.27219969611937, 1.67344316225132), PROX_PARK = c(0.65941869562705,          0.524601749565547, 0.592644125813336, 0.656743209310805,          0.656743209310805, 0.48594234877488, 0.723946747094916,          0.633519966923, 0.573128508978659, 0.741043428920938,          0.40224168015695, 0.40224168015695, 0.573834160005083,          0.573834160005083, 0.259935562114549, 0.739209778966795,          0.447466290733612, 0.270313948020077, 0.270313948020077,          0.671840643384197), PROX_GOOD_PRISCH = c(5.15263130971644,          5.26427170666348, 5.28617698570013, 5.25302892838613,          5.25302892838613, 5.30673314037113, 5.22451833965112,          5.34297669438126, 5.38500296681299, 5.30307595814772,          5.51627049340211, 5.51627049340211, 5.56483468018996,          5.56483468018996, 5.6171537261999, 5.53447364393692,          5.64958645026222, 5.69200203864946, 5.69200203864946,          5.63420261242257), PROX_MALL = c(0.407798057490129, 0.412850725186958,          0.523782484457491, 0.550646738699849, 0.550646738699849,          0.439421746266814, 0.591658790399046, 0.633302242537752,          0.626246838364162, 0.69438942428714, 0.649229394533883,          0.649229394533883, 0.805396060532061, 0.805396060532061,          0.689421511186311, 0.897398400321744, 0.806257336881612,          0.767711199656331, 0.767711199656331, 0.927972955155417         ), PROX_CHAS = c(0.0559452214520875, 0.0938393111767789,          0.198893245072118, 0.19650938121062, 0.19650938121062,          0.0969357032130768, 0.179710137259641, 0.120955806912261,          0.160113448728027, 0.0799578054615725, 0.274130336331615,          0.274130336331615, 0.204546662914522, 0.204546662914522,          0.230775629929228, 0.166975848000366, 0.14456617920399,          0.163757574589084, 0.163757574589084, 0.25243947150411         ), PROX_SUPERMARKET = c(0.202112654374605, 0.0938384818523742,          0.223766299699327, 0.27843134046436, 0.27843134046436,          0.0969351949685631, 0.343491998264143, 0.327836032489634,          0.300165340388346, 0.41943325951703, 0.296829834724774,          0.296829834724774, 0.280088374069707, 0.280088374069707,          0.264202614673064, 0.408349928269047, 0.16127040484797,          0.197268674737732, 0.197268674737732, 0.298947211163532         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 0L, 0L, 0L, 1L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 6L, 4L, 3L, 3L, 6L,          4L, 6L, 6L, 3L, 5L, 5L, 5L, 5L, 4L, 3L, 7L, 4L, 4L, 3L         ), WITHIN_350M_BUS = c(9L, 9L, 7L, 7L, 7L, 8L, 6L, 8L,          7L, 6L, 9L, 9L, 5L, 5L, 9L, 4L, 6L, 9L, 9L, 6L), WITHIN_1KM_PRISCH = c(3L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 134.054726009275,          136.156718283865, 138.2646161367, 142.835909610597, 173.780601304755,          185.185490591272, 229.668568631802, 247.102702062018,          282.444908089069, 356.798716169481, 358.259196759977,          442.45449436513, 444.024831661137, 481.307962809943,          499.165349927489, 500.555590195754, 549.356855962205,          549.572689665919, 550.247232504495)), row.names = c("702",      "324", "452", "961", "163", "17", "706", "583", "469", "368",      "762", "195", "543", "152", "558", "620", "139", "632", "793",      "602"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.88481527463076,      0.8812896006818, 0.877706171139624, 0.869771941268851, 0.810460833790554,      0.786297827198156, 0.681919641633414, 0.637332303851559,      0.542458036718453, 0.33585971453592, 0.331873727335109, 0.124906516041796,      0.121677767601029, 0.0551679480043185, 0.0313469185379687,      0.0297425153633972, 1.04565554165773e-05, 6.0038629287458e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       470501237 
R squared (OOB):                  0.006804046 

$Forests[[703]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 334008, 358000,      410000, 335000, 345000, 455000, 370000, 347000, 585000, 295000,      338000, 443000, 462000, 447888, 442500, 418888, 415000, 450000,      382000), floor_area_sqm = c(102, 103, 104, 101, 102, 90,      99, 90, 90, 91, 84, 104, 93, 93, 93, 92, 92, 92, 92, 93),          storey_order = c(3L, 2L, 4L, 3L, 4L, 5L, 2L, 3L, 2L,          10L, 4L, 2L, 5L, 5L, 5L, 6L, 3L, 2L, 4L, 1L), remaining_lease_mths = c(927,          917, 815, 936, 940, 937, 951, 977, 971, 995, 804, 818,          1134, 1134, 1137, 1138, 1136, 1132, 1135, 1111), PROX_CBD = c(14.12564920201,          14.2719972222741, 14.0960645211931, 13.8911800577968,          14.4474740114555, 14.2787185061121, 14.3012013074868,          14.489397367385, 14.6079806280174, 14.2059144167977,          13.4836212956012, 13.540845499052, 14.1475961545785,          14.1475961545785, 14.1475961545785, 14.4158973706441,          14.4158973706441, 14.6122009832922, 14.5310939664424,          14.29200158436), PROX_ELDERLYCARE = c(1.44816412197145,          1.50921581969441, 1.70531999087377, 1.40411939431899,          1.50338082315219, 1.77826193055387, 0.93663965535868,          0.929205058584809, 0.966138977916587, 0.923774065318005,          1.90290557072286, 2.00347240504871, 2.03155968851809,          2.03155968851809, 2.03155968851809, 1.86115765343828,          1.86115765343828, 1.68824062303628, 1.79186944623163,          2.00367987562091), PROX_HAWKER = c(0.778468578249857,          0.684102697062058, 0.845358517598031, 0.687446499339865,          0.588144724666333, 0.865181709866835, 0.693090021451824,          0.478869651742105, 0.31691894051251, 0.829910539202106,          0.2119534509789, 0.326481146247567, 1.0452124348096,          1.0452124348096, 1.0452124348096, 0.900970586039013,          0.900970586039013, 0.707122679385598, 0.816792492128141,          1.05572120633707), PROX_MRT = c(0.476637705223286, 0.347262283963267,          0.217341234217998, 0.241174931861397, 0.224566301285939,          0.14195902454703, 0.189883903502813, 0.0437298005890327,          0.188565130994124, 0.127617925270923, 0.193711088781655,          0.080163548628182, 0.206896355650083, 0.206896355650083,          0.206896355650083, 0.0830542408041225, 0.0830542408041225,          0.295449456212788, 0.197201307651512, 0.129588785375857         ), PROX_PARK = c(1.20701221478007, 1.38760566459916,          1.27300714898888, 0.90249149706597, 1.55939681176166,          1.51686048726609, 0.812876767906526, 0.935596264101672,          1.07918529837209, 0.716522496183652, 0.646728518696572,          0.80961064190221, 1.52292224478236, 1.52292224478236,          1.52292224478236, 1.70853765465547, 1.70853765465547,          1.76906915549279, 1.79335149216305, 1.659682039687),          PROX_GOOD_PRISCH = c(5.06260566207177, 5.26118802945754,          5.17863906457975, 4.74545729482833, 5.45861643017911,          5.42826997650874, 4.98177209241419, 5.1963266927986,          5.35450137646782, 4.85056771881294, 4.5626858677187,          4.71745369301481, 5.43570837857945, 5.43570837857945,          5.43570837857945, 5.62289607338158, 5.62289607338158,          5.7298925008129, 5.7030752613132, 5.57470277830303),          PROX_MALL = c(0.287395381957405, 0.108121271181015, 0.243284841315127,          0.267645090747045, 0.12145856762689, 0.338911837083335,          0.236735170365795, 0.345992784345898, 0.479398555662368,          0.148456555084967, 0.551151307820263, 0.403528889272069,          0.329425359540921, 0.329425359540921, 0.329425359540921,          0.475045953779526, 0.475045953779526, 0.426875162675013,          0.466036051693473, 0.462705775504015), PROX_CHAS = c(0.182188888557241,          0.108121286081234, 0.132339190026647, 0.241761013919413,          0.121458549123021, 0.18872293939054, 0.214782230853987,          3.77135010377852e-08, 0.166948923507452, 0.148456588323488,          0.229483689413426, 0.253510567884045, 0.188783823394846,          0.188783823394846, 0.188783823394846, 0.0420419616737589,          0.0420419616737589, 0.270793953405505, 0.162368565956873,          0.0888572682655253), PROX_SUPERMARKET = c(0.277268812686258,          0.105248463653719, 0.226949559622758, 0.315435463566428,          0.134916350552101, 0.188722783027928, 0.172194506074768,          0.31785895032531, 0.218811722485387, 0.154204342539502,          0.191700628396676, 0.1865280595431, 0.235757849482592,          0.235757849482592, 0.235757849482592, 0.0420421510628514,          0.0420421510628514, 0.270794118098451, 0.162368758687164,          0.124391003677116), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L,          1L, 1L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(3L, 4L,          7L, 3L, 5L, 6L, 6L, 5L, 2L, 7L, 5L, 5L, 6L, 6L, 6L, 5L,          5L, 5L, 4L, 5L), WITHIN_350M_BUS = c(10L, 10L, 9L, 15L,          11L, 8L, 15L, 13L, 13L, 17L, 12L, 11L, 6L, 6L, 6L, 7L,          7L, 6L, 8L, 5L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L,          5L, 4L, 3L, 5L, 5L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,          3L, 4L), DNeighbour = c(0, 203.434899163596, 276.885176509485,          327.734937843532, 405.630283509049, 474.615061912565,          531.874377226998, 543.897395300484, 566.111962675449,          606.640912184264, 638.453530094891, 639.255428968588,          665.553382762832, 666.137771074652, 666.889736497921,          673.50829131323, 674.997243824027, 695.265967289419,          704.691381906415, 723.85920406055)), row.names = c("703",      "381", "880", "599", "826", "329", "717", "374", "385", "146",      "681", "617", "966", "207", "623", "33", "100", "489", "609",      "989"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.848269269545594,      0.728776722908659, 0.632037443728436, 0.470573291297976,      0.325005673815663, 0.211695889777325, 0.189590274431558,      0.150822852022355, 0.0885939788738336, 0.0493072381473402,      0.0484426441543032, 0.0239039619270881, 0.0234469045332271,      0.0228646939653821, 0.0180309896976098, 0.0170165559563171,      0.00599724296814769, 0.00273099173583437, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3808974503 
R squared (OOB):                  0.1321926 

$Forests[[704]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(280000, 310000, 319000,      323000, 310500, 305000, 323000, 320000, 305000, 368000, 335000,      328000, 375000, 333000, 420000, 432000, 410000, 360000, 415000,      365000), floor_area_sqm = c(90, 89, 101, 91, 92, 91, 101,      101, 99, 106, 100, 92, 102, 99, 92, 92, 92, 99, 92, 92),          storey_order = c(3L, 1L, 4L, 2L, 4L, 4L, 1L, 2L, 4L,          3L, 4L, 3L, 3L, 3L, 1L, 4L, 2L, 3L, 2L, 1L), remaining_lease_mths = c(958,          946, 950, 974, 932, 932, 937, 931, 930, 952, 927, 923,          932, 927, 1121, 1123, 1136, 915, 1125, 1135), PROX_CBD = c(17.0860498579873,          17.0860498579873, 17.1356331652512, 16.9744532057656,          17.1621565450396, 17.1300558853523, 17.4093430047218,          17.1235753252943, 17.5508688704121, 17.1751323002447,          17.5934100264964, 17.049182232397, 17.424297644009, 17.6933534103443,          17.7152334804069, 17.7152334804069, 17.7152334804069,          17.6482187406162, 17.7609329148819, 17.8160591469996),          PROX_ELDERLYCARE = c(0.634635376150565, 0.634635376150565,          0.585213362825854, 0.669866762803474, 0.588822776266157,          0.650159488421832, 0.347622879353981, 0.697818713768909,          0.169110695114153, 0.268202380119324, 0.183364759720919,          0.850080656271298, 0.332680427012888, 0.174626049595048,          0.0982899037000713, 0.0982899037000713, 0.0982899037000713,          0.399377154365588, 0.0656405943898966, 0.101440000613482         ), PROX_HAWKER = c(0.984075399620173, 0.984075399620173,          0.905166107754752, 1.16076193719705, 0.776103543372746,          0.747949107581356, 0.646263997619536, 0.705945006380572,          0.736171211400498, 1.37649043343687, 0.860123145519879,          0.714958983882519, 1.2762396177499, 0.89059259132002,          0.815736811633103, 0.815736811633103, 0.815736811633103,          1.11261554439583, 0.769612072642938, 0.755409785256781         ), PROX_MRT = c(0.610921595420819, 0.610921595420819,          0.689848925621533, 0.434229027914827, 0.827901946736494,          0.826263947198081, 0.722831181419355, 0.782769723074986,          0.804998329325227, 0.477350523334022, 0.675234243169572,          0.785333186388227, 0.484502150769697, 0.606842528225389,          0.674833365376197, 0.674833365376197, 0.674833365376197,          0.417091391951799, 0.714624513867521, 0.729659889526201         ), PROX_PARK = c(1.98249707589613, 1.98249707589613,          2.00545012030434, 1.94357933186421, 2.12305734030611,          2.21165427538899, 1.92330050908574, 2.27471658155514,          1.71737354643835, 1.53652128691969, 1.60355051242194,          2.39009267562017, 1.39102562335911, 1.49905344652453,          1.52614967260321, 1.52614967260321, 1.52614967260321,          1.38656874841243, 1.52091098886828, 1.49250729308795),          PROX_GOOD_PRISCH = c(7.72567604662297, 7.72567604662297,          7.76178719780886, 7.64555391975429, 7.75790588282746,          7.71077701272798, 8.00696366683488, 7.68854504458572,          8.17476856172454, 7.92485948387043, 8.24279341902993,          7.5878538843241, 8.1609833985331, 8.34857469941546, 8.35538963357137,          8.35538963357137, 8.35538963357137, 8.34983568407236,          8.39120163011403, 8.44175881664207), PROX_MALL = c(0.314944256820634,          0.314944256820634, 0.382407895591973, 0.199292924769147,          0.509108711773916, 0.568151229694078, 0.265229996889848,          0.614584601713128, 0.109574351562212, 0.221509518429623,          0.188384425612312, 0.718658142186859, 0.394560370801339,          0.223321337745784, 0.158599011552442, 0.158599011552442,          0.158599011552442, 0.439097430243665, 0.147411017927622,          0.183177100903513), PROX_CHAS = c(0.250499161266826,          0.250499161266826, 0.257714074421561, 0.199292963025488,          0.242301342816858, 0.159798231789153, 0.23105278557526,          0.076148424020495, 0.048268048492383, 0.166686655025282,          0.151781240761386, 0.13498084818294, 0.265229996652697,          0.21485891447712, 0.158598978424062, 0.158598978424062,          0.158598978424062, 0.414359256629807, 0.14741100268466,          0.183177099178452), PROX_SUPERMARKET = c(0.250499698074938,          0.250499698074938, 0.257714572429151, 0.25551504160041,          0.263452146302603, 0.260386915772359, 0.313773352526138,          0.307215454393191, 0.15801430638391, 0.166252253534119,          0.209139790637019, 0.397684558683682, 0.265230176390619,          0.218378438252518, 0.144345834884574, 0.144345834884574,          0.144345834884574, 0.441697647833666, 0.113022549454425,          0.137568853383185), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 2L, 2L,          2L, 2L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(6L, 6L,          5L, 6L, 5L, 5L, 7L, 5L, 7L, 4L, 6L, 12L, 2L, 5L, 6L,          6L, 6L, 3L, 8L, 8L), WITHIN_350M_BUS = c(11L, 11L, 11L,          13L, 11L, 13L, 13L, 11L, 12L, 10L, 12L, 8L, 9L, 13L,          12L, 12L, 12L, 9L, 10L, 15L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 5L, 4L, 6L, 5L, 8L, 2L, 5L, 8L, 7L,          7L, 7L, 7L, 6L, 6L), DNeighbour = c(0, 6.39988773321209,          86.992385860464, 169.57585653336, 236.153845338281, 302.62264606585,          374.904675963377, 391.014085678013, 472.760111861821,          513.617814913444, 521.577786367663, 542.885535156099,          592.544531302328, 619.484845171403, 631.579558325309,          633.60019805335, 634.951968151884, 657.836975332275,          679.81278441247, 726.356934468157)), row.names = c("704",      "685", "99", "902", "190", "170", "174", "871", "438", "658",      "419", "520", "736", "112", "289", "298", "13", "891", "365",      "402"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999844740681753,      0.971518269033199, 0.893962807355418, 0.799766011576687,      0.682968040833067, 0.538162372293909, 0.504397072674295,      0.33220825586583, 0.249988510867686, 0.234614501274379, 0.194816433822846,      0.111896652484598, 0.0743218075811103, 0.0595069832025151,      0.0571664218395585, 0.0556227692626676, 0.0323167523767379,      0.0153888208090271, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1422222431 
R squared (OOB):                  0.2686543 

$Forests[[705]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 420000, 380000,      420000, 345000, 335000, 370000, 336000, 380000, 323000, 345000,      310000, 325000, 295000, 390000, 370000, 350000, 343000, 325000,      345000), floor_area_sqm = c(101, 93, 93, 92, 102, 101, 93,      104, 93, 104, 103, 104, 104, 105, 126, 103, 104, 102, 90,      104), storey_order = c(5L, 3L, 1L, 6L, 2L, 2L, 1L, 4L, 1L,      3L, 5L, 1L, 1L, 1L, 2L, 4L, 2L, 5L, 4L, 4L), remaining_lease_mths = c(943,      1139, 1138, 1104, 935, 933, 1139, 958, 1142, 956, 944, 879,      872, 870, 879, 881, 863, 935, 912, 862), PROX_CBD = c(15.9284058495794,      15.9652529785268, 15.9652529785268, 16.0058570800758, 16.0814208174046,      16.135389698045, 15.8422849591204, 16.2237683329895, 15.6174435761395,      16.3822081442679, 15.6615925135045, 15.9652370890998, 15.9652370890998,      16.027241877126, 16.1769042321823, 15.9139497277605, 15.9139497277605,      15.6558233565228, 16.3759795802925, 16.2035530975804), PROX_ELDERLYCARE = c(0.260351961534281,      0.120425003900544, 0.120425003900544, 0.0922651494707867,      0.129424766752979, 0.214357316635524, 0.241353796602158,      0.233700982090528, 0.457575537702088, 0.317064501792404,      0.372854461013726, 0.372962984236141, 0.372962984236141,      0.401697186037664, 0.382017171357745, 0.471057675436291,      0.471057675436291, 0.268146833149962, 0.437652472603004,      0.462412199513001), PROX_HAWKER = c(2.2342618496891, 2.36922200206298,      2.36922200206298, 2.393526972262, 2.40830007300065, 2.40272097648418,      2.37354129025836, 2.48966457045008, 2.21004723991438, 2.76474077583521,      2.39243139523594, 2.45115541279444, 2.45115541279444, 2.44772974464855,      2.55739022352562, 2.34701070601947, 2.34701070601947, 2.27183532495414,      2.71828200917597, 2.51024920878341), PROX_MRT = c(1.02417718077332,      0.886101680623091, 0.886101680623091, 0.910164710677637,      1.00126993569874, 1.09323648573999, 0.721786411333246, 1.11461848888664,      0.70935210619912, 1.02897813643603, 0.499275570100955, 0.52727924180445,      0.52727924180445, 0.538616250543522, 0.674610535324426, 0.424613907535265,      0.424613907535265, 0.370313443989706, 0.870089952652958,      0.65447898159524), PROX_PARK = c(1.61207436869795, 1.58077599563476,      1.58077599563476, 1.6216647961598, 1.7154732425778, 1.7942088991982,      1.42084473696832, 1.86547668850022, 1.21748666352844, 1.73717122008599,      1.19384102986047, 1.39203600576681, 1.39203600576681, 1.35146177086674,      1.39748820590438, 1.30337713627377, 1.30337713627377, 1.16446299803307,      1.49155883505512, 1.32632916723033), PROX_GOOD_PRISCH = c(5.90870946924896,      5.96493131981452, 5.96493131981452, 6.00411547246196, 6.0710937852797,      6.11593822040069, 5.8611108446886, 6.20687623278084, 5.63578467655705,      6.39421933734494, 5.71328270316738, 6.02718330754398, 6.02718330754398,      6.09534233388474, 6.23706483495109, 5.99275530970335, 5.99275530970335,      5.73062396037349, 6.4246273009838, 6.27623366830878), PROX_MALL = c(0.350369242497661,      0.18546430077947, 0.18546430077947, 0.187934498474296, 0.261655001598387,      0.350342319635, 0.177442774283774, 0.36788016328609, 0.401390812484646,      0.374078152135628, 0.238209845871265, 0.238316612740974,      0.238316612740974, 0.275346491924215, 0.292722816398213,      0.338688619983659, 0.338688619983659, 0.155488337640192,      0.409369768138594, 0.370949542105629), PROX_CHAS = c(0.35036929019185,      0.185464348558652, 0.185464348558652, 0.187934543511456,      0.26165503944411, 0.350342354631045, 0.177442804982894, 0.367880188789974,      0.187858028295528, 0.374078140160073, 0.238209795937414,      0.238316573509266, 0.238316573509266, 0.275346446899555,      0.292722768811081, 0.338688583692834, 0.338688583692834,      0.155488306171375, 0.409369730284335, 0.370949494121523),          PROX_SUPERMARKET = c(0.363015443397577, 0.198556813498254,          0.198556813498254, 0.197516435852273, 0.265481412722203,          0.352223797136593, 0.197153631350279, 0.364697803989784,          0.412009517866082, 0.357574924056941, 0.238833101010687,          0.177610526119132, 0.177610526119132, 0.141316208924405,          0.254565333705719, 0.112474666082431, 0.112474666082431,          0.152010752053411, 0.389543937857684, 0.235998227482853         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 0L, 0L,          2L, 0L, 3L, 2L, 3L, 3L, 3L, 3L, 5L, 3L, 3L, 4L, 2L, 3L         ), WITHIN_350M_CHILDCARE = c(3L, 5L, 5L, 5L, 5L, 2L,          7L, 2L, 3L, 1L, 5L, 6L, 6L, 8L, 8L, 9L, 9L, 8L, 2L, 5L         ), WITHIN_350M_BUS = c(10L, 15L, 15L, 14L, 13L, 9L, 15L,          9L, 15L, 9L, 16L, 14L, 14L, 12L, 9L, 15L, 15L, 14L, 5L,          7L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 3L,          2L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L),          DNeighbour = c(0, 159.114434723691, 166.418131646854,          175.021738673325, 177.202168438239, 209.596904249797,          295.507554257632, 300.875197938534, 406.011931071051,          539.416810508325, 547.104901018114, 575.257505570355,          576.773831870561, 620.026454873702, 636.742677740789,          660.865661908361, 664.6358177855, 669.796764969305, 694.836328682485,          711.603837644644)), row.names = c("705", "137", "913",      "154", "890", "88", "585", "394", "766", "173", "572", "490",      "566", "463", "54", "927", "959", "450", "974", "806"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.902505994964417, 0.893606996854968, 0.882672800611089,      0.879825301781351, 0.834016922431698, 0.684840702534804,      0.67441764822324, 0.454899659000987, 0.180957540615123, 0.167195104937995,      0.120059713427926, 0.117681002086514, 0.0579950144552856,      0.0397340662602263, 0.0189113256975104, 0.0162944426858142,      0.0130072556109152, 0.0021688348835249, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       721599854 
R squared (OOB):                  0.3514031 

$Forests[[706]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 390000, 412000,      377000, 350000, 380000, 390000, 380000, 350000, 395000, 340000,      375000, 420000, 368888, 350000, 350000, 4e+05, 385000, 4e+05,      368000), floor_area_sqm = c(92, 92, 92, 92, 92, 93, 93, 92,      93, 93, 92, 92, 92, 92, 92, 104, 92, 92, 92, 92), storey_order = c(2L,      4L, 3L, 2L, 1L, 3L, 3L, 2L, 1L, 4L, 2L, 1L, 4L, 2L, 1L, 3L,      3L, 3L, 4L, 2L), remaining_lease_mths = c(1128, 1142, 1128,      1135, 1131, 1110, 1113, 1142, 1111, 1108, 1133, 1139, 1133,      1102, 1111, 812, 1136, 1132, 1142, 1100), PROX_CBD = c(14.5136499050456,      14.5596883563906, 14.5596883563906, 14.5662038835035, 14.6346875310408,      14.607628567626, 14.6879879340018, 14.4940333615496, 14.6221320584002,      14.6649260398624, 14.8395197777251, 14.8395197777251, 14.7615340778399,      14.8482953663728, 14.8482953663728, 14.8739209120931, 14.7935232496013,      14.9536689261967, 14.8350589102573, 14.9752079088984), PROX_ELDERLYCARE = c(0.440212280139716,      0.399519357429504, 0.399519357429504, 0.396119369193007,      0.318998242024868, 0.363539264939185, 0.267910637295867,      0.500918112427577, 0.410896008057539, 0.374463671675583,      0.143171284390361, 0.143171284390361, 0.301679225956583,      0.157028625587627, 0.157028625587627, 0.224374856243457,      0.348662381557687, 1.13414610370389e-06, 0.366071958673004,      0.199763345782594), PROX_HAWKER = c(0.681591249319273, 0.625641729464286,      0.625641729464286, 0.661743266121302, 0.567748890704442,      0.571839614015762, 0.507741768149319, 0.682637638745144,      0.55845452984231, 0.515424723672587, 0.426817039061835, 0.426817039061835,      0.582527401679673, 0.332945546865787, 0.332945546865787,      0.490895901627697, 0.61938764744993, 0.283688306330561, 0.625406547060166,      0.202333554334061), PROX_MRT = c(1.51230084146916, 1.46473462254762,      1.46473462254762, 1.61118001364451, 1.53691575721219, 1.42703012637354,      1.51619569366002, 1.32800225952209, 1.30119397664661, 1.31347134818138,      1.58589972239689, 1.58589972239689, 1.75082728996661, 1.41585626072206,      1.41585626072206, 1.67344316225132, 1.80023823132094, 1.45204946878565,      1.81204065654847, 1.27457972333389), PROX_PARK = c(0.723946747094916,      0.656743209310805, 0.656743209310805, 0.741043428920938,      0.633519966923, 0.592644125813336, 0.573128508978659, 0.65941869562705,      0.524601749565547, 0.48594234877488, 0.573834160005083, 0.573834160005083,      0.739209778966795, 0.40224168015695, 0.40224168015695, 0.671840643384197,      0.794674698621811, 0.447466290733612, 0.813480610745631,      0.259935562114549), PROX_GOOD_PRISCH = c(5.22451833965112,      5.25302892838613, 5.25302892838613, 5.30307595814772, 5.34297669438126,      5.28617698570013, 5.38500296681299, 5.15263130971644, 5.26427170666348,      5.30673314037113, 5.56483468018996, 5.56483468018996, 5.53447364393692,      5.51627049340211, 5.51627049340211, 5.63420261242257, 5.58881641790013,      5.64958645026222, 5.6396253746677, 5.6171537261999), PROX_MALL = c(0.591658790399046,      0.550646738699849, 0.550646738699849, 0.69438942428714, 0.633302242537752,      0.523782484457491, 0.626246838364162, 0.407798057490129,      0.412850725186958, 0.439421746266814, 0.805396060532061,      0.805396060532061, 0.897398400321744, 0.649229394533883,      0.649229394533883, 0.927972955155417, 0.980189305249844,      0.806257336881612, 1.03026167893405, 0.689421511186311),          PROX_CHAS = c(0.179710137259641, 0.19650938121062, 0.19650938121062,          0.0799578054615725, 0.120955806912261, 0.198893245072118,          0.160113448728027, 0.0559452214520875, 0.0938393111767789,          0.0969357032130768, 0.204546662914522, 0.204546662914522,          0.166975848000366, 0.274130336331615, 0.274130336331615,          0.25243947150411, 0.244316778428722, 0.14456617920399,          0.298721071991625, 0.230775629929228), PROX_SUPERMARKET = c(0.343491998264143,          0.27843134046436, 0.27843134046436, 0.41943325951703,          0.327836032489634, 0.223766299699327, 0.300165340388346,          0.202112654374605, 0.0938384818523742, 0.0969351949685631,          0.280088374069707, 0.280088374069707, 0.408349928269047,          0.296829834724774, 0.296829834724774, 0.298947211163532,          0.416104879739584, 0.16127040484797, 0.402632437071234,          0.264202614673064), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 3L,          3L, 3L, 6L, 4L, 6L, 4L, 6L, 6L, 5L, 5L, 3L, 5L, 5L, 3L,          2L, 7L, 2L, 4L), WITHIN_350M_BUS = c(6L, 7L, 7L, 6L,          8L, 7L, 7L, 9L, 9L, 8L, 5L, 5L, 4L, 9L, 9L, 6L, 6L, 6L,          6L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 3L, 4L, 4L,          4L, 3L, 4L, 4L, 3L, 3L, 3L, 4L, 4L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 69.9195549479869, 73.6531537361403,          103.309294401721, 115.586144637282, 142.666826255533,          175.558061693641, 185.185490591272, 255.560269374599,          275.849115516461, 339.474971047901, 341.718845473467,          343.761644525077, 347.330238692664, 347.599411730117,          419.580679793678, 420.314277024511, 444.161200457692,          472.268865086658, 501.874011034962)), row.names = c("706",      "163", "961", "368", "583", "452", "469", "702", "324", "17",      "543", "152", "620", "195", "762", "602", "478", "139", "27",      "558"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.961558294109161,      0.957389058880513, 0.917049440487351, 0.896728932987141,      0.844913170592257, 0.770245702465744, 0.746233110426523,      0.548641138802153, 0.487061446104131, 0.294266236671094,      0.287719211322086, 0.281786007172642, 0.271486668610807,      0.270713315883479, 0.0906355196499983, 0.0891686063227437,      0.0469872712478805, 0.0131099460146744, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       477997197 
R squared (OOB):                  0.03722576 

$Forests[[707]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(435000, 410000, 440000,      412000, 380000, 420000, 435000, 417000, 565000, 390000, 540000,      575000, 376888, 585000, 438000, 430000, 658000, 615000, 447000,      360000), floor_area_sqm = c(100, 100, 100, 103, 104, 104,      99, 99, 93, 104, 93, 93, 104, 93, 104, 104, 84, 84, 107,      84), storey_order = c(4L, 3L, 3L, 4L, 1L, 2L, 2L, 3L, 6L,      1L, 4L, 5L, 3L, 4L, 2L, 2L, 3L, 2L, 3L, 2L), remaining_lease_mths = c(924,      915, 911, 918, 924, 922, 928, 914, 1127, 809, 1142, 1133,      810, 1142, 812, 819, 1120, 1122, 782, 762), PROX_CBD = c(12.114386347938,      12.2087069526051, 12.2087069526051, 11.9871965659798, 12.0301392517655,      11.8892341343185, 12.2106818490232, 12.2815153207229, 12.4937468159193,      11.7882471009294, 12.5378737745647, 12.4342034244884, 11.622690560426,      12.454441113408, 11.7215458353159, 11.547248638023, 12.4891302242583,      12.3801819754074, 11.7840832214562, 11.4815172953657), PROX_ELDERLYCARE = c(0.421163091926404,      0.434858408662556, 0.434858408662556, 0.210296865683283,      0.255083942589415, 0.110349805405523, 0.442541563379791,      0.513657423159811, 0.714783075399861, 0.114277277444971,      0.76025522927712, 0.678867196986192, 0.175524774720266, 0.717258387107597,      0.240093333498969, 0.246353759583753, 0.707031754326944,      0.738453704244922, 0.481333190444255, 0.182032582488253),          PROX_HAWKER = c(0.885134801830427, 0.692592935098248,          0.692592935098248, 0.625285574708341, 0.598391326300702,          0.684056106771311, 0.524204307723605, 0.52278816815954,          0.680821394190482, 0.647051853283446, 0.672948721825079,          0.504612881494125, 0.783966268147895, 0.459376407452819,          0.609281739536534, 0.837769476188058, 0.384467206049481,          0.261296216065877, 0.436117874461739, 0.728271246274353         ), PROX_MRT = c(1.10882075300419, 0.89623888155871, 0.89623888155871,          0.923336133969517, 0.885297742933312, 1.00424261648768,          0.743103019894999, 0.703998835661039, 0.743366527772832,          1.00317447086964, 0.707305973375369, 0.586933783104383,          1.15515804744233, 0.518913352820399, 0.989064774064853,          1.16228231940478, 0.38468199977318, 0.367154517888221,          0.81394482428473, 0.756359380624344), PROX_PARK = c(1.14970360230785,          0.954913184146477, 0.954913184146477, 1.09395352284574,          1.04875150887626, 1.19263079577799, 0.863487882808023,          0.796788171077343, 0.683130710636032, 1.24877122811849,          0.628331945846246, 0.628391467794767, 1.41684131410086,          0.580711209690395, 1.28416187507733, 1.4881280763212,          0.50651752093578, 0.605799570777928, 1.20101103678102,          1.50398184725757), PROX_GOOD_PRISCH = c(1.17061030478036,          1.04944877580977, 1.04944877580977, 0.855677549512306,          0.860616187528585, 0.842915880539328, 0.91368762909787,          0.952579960345566, 1.16886515239787, 0.713901761199557,          1.17951788917503, 1.01367306567257, 0.733057242670121,          0.990054087408291, 0.585140695782779, 0.735233663606362,          0.94986022590219, 0.823417580851307, 0.357669915539773,          0.365254403810308), PROX_MALL = c(0.995792127022496,          0.802829369116586, 0.802829369116586, 0.732793638615111,          0.707201836140707, 0.787722851944232, 0.634332011832188,          0.630705874818675, 0.778202426893423, 0.741052769880115,          0.766094086501437, 0.600548053404267, 0.868993594299523,          0.549832225559512, 0.690287469384684, 0.918014501744059,          0.458049841664737, 0.344173235497563, 0.489619370966043,          0.763531318053358), PROX_CHAS = c(0.138740180982893,          0.0852358826892552, 0.0852358826892552, 0.171681037809818,          0.202915262499126, 0.124859952031804, 0.140964983635816,          0.0753088652692227, 0.147744885974614, 0.0554870656895364,          0.187116592266412, 0.134041173915956, 0.151742844958785,          0.134313038880304, 0.164718468919614, 0.157099147473317,          3.00974727266337e-08, 0.126495411341712, 0.0667093090499658,          0.0516610437101642), PROX_SUPERMARKET = c(0.459680111992834,          0.414959148864982, 0.414959148864982, 0.172282484091702,          0.20670525505664, 0.114394571204967, 0.377835654599335,          0.448534184110051, 0.667447252804164, 0.0453848138423891,          0.707597649659388, 0.543693418915242, 0.151741730066283,          0.499432454100223, 0.169255457402684, 0.157098334004615,          0.425107542879533, 0.30203349112312, 0.379080894647373,          0.19171128272723), WITHIN_350M_KINDERGARTEN = c(2L, 2L,          2L, 2L, 2L, 2L, 1L, 1L, 0L, 3L, 0L, 2L, 1L, 2L, 2L, 1L,          2L, 2L, 2L, 0L), WITHIN_350M_CHILDCARE = c(1L, 5L, 5L,          5L, 5L, 8L, 5L, 6L, 4L, 8L, 5L, 4L, 7L, 4L, 6L, 7L, 2L,          3L, 3L, 5L), WITHIN_350M_BUS = c(8L, 11L, 11L, 6L, 7L,          9L, 11L, 12L, 11L, 9L, 11L, 12L, 8L, 11L, 10L, 11L, 10L,          8L, 7L, 14L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 2L, 2L,          2L, 2L, 2L, 1L, 3L, 1L, 1L, 2L, 3L, 3L, 2L, 5L, 4L, 4L,          3L), DNeighbour = c(0, 208.666514965178, 209.14413526691,          309.167950319611, 311.202869693488, 339.644421125647,          364.526719281052, 402.776236232915, 469.990392135656,          487.21475933318, 520.559405954774, 544.587886983744,          587.020578695281, 604.061761380036, 620.422789526791,          651.7576593719, 730.705649141765, 739.859703579897, 808.97892855628,          978.943219693956)), row.names = c("707", "680", "410",      "689", "727", "148", "42", "362", "24", "508", "343", "310",      "750", "641", "625", "598", "505", "315", "340", "213"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.91119434169429, 0.910796843271, 0.810466180295757, 0.80809609949595,      0.773741279099307, 0.741910702721176, 0.690091170447188,      0.592136764447862, 0.565955410155634, 0.514426102872147,      0.47682932473101, 0.410141892291261, 0.383462123762363, 0.358008658641374,      0.309960859913944, 0.196118634183506, 0.183874466114492,      0.100550115153427, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1583728081 
R squared (OOB):                  0.7971455 

$Forests[[708]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 340000, 402000,      355000, 310000, 358000, 387008, 416000, 350000, 315000, 310000,      327000, 315000, 313000, 310000, 338000, 318000, 370000, 315000,      320000), floor_area_sqm = c(93, 91, 93, 93, 96, 91, 97, 98,      91, 91, 91, 84, 104, 84, 84, 93, 84, 104, 97, 93), storey_order = c(1L,      2L, 4L, 4L, 1L, 1L, 2L, 4L, 1L, 3L, 3L, 1L, 4L, 4L, 3L, 3L,      1L, 4L, 3L, 3L), remaining_lease_mths = c(782, 782, 762,      761, 772, 760, 775, 779, 957, 774, 774, 802, 777, 772, 806,      778, 785, 805, 746, 762), PROX_CBD = c(15.9422949327985,      16.0688727275577, 15.8715793299193, 16.1297617902268, 16.0124832316584,      15.6053010835868, 15.8742411347238, 16.1674221276903, 16.4034806336055,      16.1626205207603, 16.3680873997092, 15.395293903354, 15.5029529482698,      15.5029529482698, 16.5546706157429, 16.3741208173644, 15.4237712873611,      15.7683454047388, 16.179026897848, 15.7384939989151), PROX_ELDERLYCARE = c(1.09392979000114,      1.20623153653763, 1.28212929908789, 1.29938230642316, 1.41328722649904,      1.18278326755006, 0.784609866943175, 0.762025473923165, 0.839978570407226,      1.55788424655444, 1.42545230549203, 1.48326161455178, 1.60634233373903,      1.60634233373903, 1.28388145020366, 0.617661573186221, 1.66429806880172,      0.584689505447093, 1.73064849730919, 1.81389464514152), PROX_HAWKER = c(0.571238530927929,      0.426544691499688, 0.428166805124, 0.335840869363962, 0.231474226543029,      0.745618024005524, 0.921851461637316, 0.872582424517839,      0.889236545198411, 0.113648031708615, 0.369132496020862,      0.763118949388798, 0.592613874358246, 0.592613874358246,      0.634516033073404, 1.08852003222566, 0.663653920640621, 0.791474322012874,      0.141690035201285, 0.367446283592148), PROX_MRT = c(0.22642613478059,      0.406145228037129, 0.326170963259121, 0.514969181151661,      0.526610558032509, 0.180817781363956, 0.243577544220952,      0.447065767326062, 0.660139833101166, 0.733071345608223,      0.767751604782153, 0.486709870425329, 0.579811001445256,      0.579811001445256, 0.786543604226707, 0.70945464840636, 0.641519249244255,      0.523772975672589, 0.887672461516919, 0.817431272071058),          PROX_PARK = c(0.749126986336644, 0.697314652170583, 0.729541055973412,          0.709135847201637, 0.641040622161513, 0.580682002012541,          0.457440234531046, 0.490935310554108, 0.251028276822116,          0.622244080025509, 0.655349613079545, 0.736647900507106,          0.518465718930498, 0.518465718930498, 0.413578796610442,          0.371358045807383, 0.527546900647844, 0.270342199592644,          0.539742315344257, 0.197322246351151), PROX_GOOD_PRISCH = c(6.35759010380229,          6.46919552361138, 6.26806838260706, 6.52049985370614,          6.39414010271149, 6.02648848177283, 6.33578781760894,          6.62018800412964, 6.84769610957781, 6.53246509089368,          6.74866006620563, 5.79164197089728, 5.8805780078001,          5.8805780078001, 6.95112153433386, 6.84990365493624,          5.79932453842233, 6.2828979894293, 6.53838177865997,          6.09593783675615), PROX_MALL = c(0.275355858531219, 0.45653839484425,          0.405953132327172, 0.568960814514176, 0.598952481573277,          0.252610517585887, 0.159478773824134, 0.402318259451987,          0.630333401213655, 0.800586392071248, 0.812249060303789,          0.561468969675593, 0.667352945771092, 0.667352945771092,          0.809678350084408, 0.523710338103731, 0.726704111983395,          0.400271919676516, 0.960112961135972, 0.906877360376741         ), PROX_CHAS = c(0.101928728560798, 0.123235071398074,          0.170717118999449, 0.215228497760129, 0.191204296760245,          0.0925674017483885, 0.159478805927642, 0.277543603442508,          0.142060383584178, 0.107377285719627, 0.317481852326526,          0.1019571402223, 0.128101303359069, 0.128101303359069,          0.102023856475547, 0.0863783451683255, 0.11942955396425,          0.406778788965278, 0.0821179618758864, 0.184740133551779         ), PROX_SUPERMARKET = c(0.218983947734938, 0.399183655269817,          0.323117190327721, 0.353026966783941, 0.214004200599592,          0.188530812320699, 0.159478664733051, 0.277543419111335,          0.142061131074292, 0.191669323632479, 0.442251956603444,          0.0953919744611677, 0.314517101025506, 0.314517101025506,          0.57240719914765, 0.0863776808909183, 0.307102160965552,          0.30290594542381, 0.224545288466622, 0.287892528450529         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 3L, 1L,          0L, 1L, 2L, 3L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 0L, 3L, 3L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 2L, 3L, 4L, 5L,          5L, 3L, 3L, 5L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 5L, 3L, 7L         ), WITHIN_350M_BUS = c(8L, 9L, 8L, 8L, 8L, 10L, 8L, 6L,          7L, 9L, 8L, 9L, 10L, 10L, 10L, 4L, 11L, 8L, 8L, 10L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 6L, 5L,          4L, 4L, 4L, 4L, 3L, 3L, 5L, 4L, 4L, 7L, 3L, 3L), DNeighbour = c(0,          176.609318763439, 184.779762504604, 288.341342572222,          336.883626153343, 337.196338126309, 357.760159659882,          382.680238934114, 527.541580050944, 528.400163673419,          542.652701514421, 582.314250777561, 587.956591514099,          589.132179718334, 625.508183204037, 651.581141426101,          664.270064224632, 685.564899363856, 691.706179440219,          721.376764815524)), row.names = c("708", "804", "294",      "184", "740", "143", "83", "351", "206", "335", "198", "556",      "162", "587", "22", "788", "293", "262", "336", "803"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.883716386447249, 0.873080586336175, 0.70598997808046, 0.611383441194027,      0.610750146350378, 0.568580449069217, 0.516363907916159,      0.216413682763504, 0.214795764317938, 0.188465497896322,      0.121372668091243, 0.112692461649325, 0.1109142064933, 0.0615694116869033,      0.0339095656259728, 0.0231222793243814, 0.00937470198086469,      0.00649140849032346, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       768827284 
R squared (OOB):                  0.2896347 

$Forests[[709]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(472000, 530000, 688000,      552000, 805000, 620000, 820000, 825000, 750000, 755000, 685000,      840000, 438888, 580000, 408000, 660000, 8e+05, 680000, 375000,      680000), floor_area_sqm = c(84, 111, 85, 100, 104, 102, 87,      87, 90, 90, 85, 87, 80, 100, 84, 90, 90, 85, 82, 91), storey_order = c(2L,      1L, 4L, 1L, 3L, 3L, 9L, 5L, 11L, 5L, 4L, 14L, 4L, 4L, 6L,      10L, 7L, 2L, 3L, 3L), remaining_lease_mths = c(799, 767,      964, 910, 919, 908, 1136, 1136, 1035, 1038, 1038, 1141, 601,      1013, 647, 993, 1063, 1066, 645, 984), PROX_CBD = c(4.27761841825855,      4.3501519248406, 3.98134497452694, 4.64904487497998, 4.1456930527125,      4.95292174150019, 4.59114385332588, 4.59114385332588, 4.88070069409732,      4.88070069409732, 4.89531124268982, 4.70219035054856, 3.37234644442932,      4.79843685927635, 5.38657645344473, 5.00856672458725, 2.97610984462207,      2.96405104980333, 3.68559345068932, 2.86455481676114), PROX_ELDERLYCARE = c(0.0937624362906392,      0.203630745919553, 0.168717999980802, 0.374326446996408,      0.45180890917037, 0.0718437191527097, 0.125633226962327,      0.125633226962327, 0.312658206579851, 0.312658206579851,      0.307888742732217, 0.200702517977741, 0.401810150563083,      0.72206466606869, 0.465891927060243, 0.403456137693205, 0.249991250520312,      0.206690358794928, 0.466665237090727, 0.111411798512938),          PROX_HAWKER = c(0.566432501893156, 0.509657348502929,          0.262344394473714, 0.28049665267082, 0.668394095052703,          0.126776661941161, 0.762382071136897, 0.762382071136897,          0.595417483526792, 0.595417483526792, 0.546104933523636,          0.646528219825606, 0.449139985411189, 0.669525197575465,          0.351855498276287, 0.327438715714418, 0.405863058813757,          0.344572110572533, 0.28293755865871, 0.302651224916382         ), PROX_MRT = c(0.40356540460373, 0.533693046359433,          0.310254962870727, 0.763812758173444, 0.413017272318271,          0.804865461788644, 0.586728793826683, 0.586728793826683,          0.314337158810329, 0.314337158810329, 0.275254866694397,          0.491479629856663, 0.537190991659238, 1.13446368103879,          0.675587286197546, 0.699181106494864, 0.337225216160626,          0.377919714857806, 1.17490863944549, 0.391395986196982         ), PROX_PARK = c(1.11098670131371, 0.941534540217125,          0.894232249415992, 1.08394438059851, 1.16828897329218,          0.908868407872405, 1.65596921250538, 1.65596921250538,          1.53366372097489, 1.53366372097489, 1.60860995669454,          1.77379186206272, 0.408351250353425, 0.279857584881724,          1.05249384295472, 0.344858191728297, 0.4671588721782,          0.495024008458079, 0.304435062988112, 0.399002951856213         ), PROX_GOOD_PRISCH = c(3.63213704613537, 3.77462248476967,          3.868083844602, 3.57098970158234, 3.20846684942761, 3.66355651606602,          2.86977258716747, 2.86977258716747, 3.0451226436528,          3.0451226436528, 2.96671225712824, 2.79995758206102,          3.70512913004722, 4.40925832010736, 3.52335384407219,          4.86324650242379, 4.56048774292729, 4.62297298452196,          5.15997579188296, 4.71207116352008), PROX_MALL = c(0.890632544268956,          0.812522711759855, 1.18273225000282, 0.528365937160055,          1.18405339004253, 0.209686974260184, 0.992224857230604,          0.992224857230604, 0.63262312230698, 0.63262312230698,          0.696065710972082, 0.970860317849455, 0.743612757274357,          0.830412122132217, 0.184401966361696, 1.20968740927381,          0.362094853274792, 0.404565296260845, 1.3376464242075,          0.420489734799516), PROX_CHAS = c(0.116543108560641,          0.237239443458304, 0.145112311632742, 0.251376462502101,          0.401816380076581, 0.176171654931402, 0.156405874770629,          0.156405874770629, 0.278004299073392, 0.278004299073392,          0.22404402777184, 0.0639130956899198, 0.499618186459994,          0.120011087306801, 0.131272369045618, 0.358299181925541,          0.111500209373212, 0.0506108453744785, 0.216565147674259,          0.110042750971165), PROX_SUPERMARKET = c(0.205058734443685,          0.125937465506006, 0.252387257990654, 0.311533400888457,          0.431453687618191, 0.176171398022836, 0.156405662038775,          0.156405662038775, 0.278004958714438, 0.278004958714438,          0.224044642536509, 0.0639125072278545, 0.499617451823641,          0.0907294343182455, 0.182486832055582, 0.395196557309087,          0.111500172768761, 0.0506107476035619, 0.252487697752149,          0.110042446678578), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 0L, 1L, 2L, 0L, 0L, 5L, 5L, 5L, 2L, 0L, 0L, 1L,          1L, 1L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L,          3L, 2L, 1L, 1L, 3L, 3L, 5L, 5L, 4L, 4L, 2L, 2L, 1L, 1L,          3L, 3L, 3L, 4L), WITHIN_350M_BUS = c(14L, 13L, 12L, 12L,          7L, 7L, 7L, 7L, 8L, 8L, 9L, 7L, 8L, 6L, 8L, 7L, 4L, 7L,          10L, 7L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 2L, 2L, 2L,          1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 3L, 4L, 2L, 4L         ), DNeighbour = c(0, 177.561930065599, 346.857395380655,          367.046562221458, 496.283833897817, 684.743010807024,          766.712165520165, 770.005244216169, 771.744045767606,          773.753190680604, 829.262232034717, 858.26115886412,          938.125904771225, 949.199995692137, 1108.5895506352,          1409.6530999316, 1450.56865068285, 1488.54592463504,          1608.65029452548, 1608.83188737548)), row.names = c("709",      "348", "375", "140", "320", "216", "768", "333", "39", "982",      "916", "854", "69", "610", "130", "515", "319", "389", "683",      "968"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.975786629439235,      0.909197437689027, 0.898609144150123, 0.818741574494019,      0.670518364460286, 0.597353196299872, 0.594334838440604,      0.592738973231697, 0.590893186974282, 0.539222646821117,      0.511813389444688, 0.435577255738332, 0.42498395484098, 0.275824107354153,      0.0539537390080923, 0.0349937191768164, 0.0207193249216544,      5.09550378440272e-08, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11326114834 
R squared (OOB):                  0.4724602 

$Forests[[710]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 403000, 4e+05,      510000, 460000, 485000, 440000, 460000, 465000, 490000, 5e+05,      545000, 535000, 520000, 532000, 515000, 489000, 520000, 455000,      432000), floor_area_sqm = c(92, 92, 92, 92, 92, 93, 93, 93,      93, 95, 93, 93, 93, 93, 96, 92, 92, 93, 93, 93), storey_order = c(1L,      1L, 1L, 3L, 2L, 2L, 2L, 3L, 5L, 2L, 6L, 5L, 4L, 5L, 4L, 2L,      2L, 4L, 5L, 5L), remaining_lease_mths = c(1128, 1138, 1131,      1136, 1137, 1147, 1142, 1138, 1097, 1111, 1137, 1127, 1118,      1147, 1111, 1138, 1137, 1118, 1138, 1129), PROX_CBD = c(13.983033341901,      13.9348601041022, 13.9748767742628, 14.0250110126613, 13.9481332653994,      13.9293604468603, 13.9713915856932, 13.8880322509317, 13.8110145095205,      13.7780295697528, 13.7068457080251, 13.8964286142315, 13.8964286142315,      13.7003463440691, 13.8842234613226, 14.4453014943547, 14.4453014943547,      13.7912064237251, 13.5153222954464, 13.4495242740615), PROX_ELDERLYCARE = c(0.0819455196406728,      0.122633260073778, 0.0869602171534455, 0.0392522324995346,      0.108372417523696, 0.234065981952779, 0.226595382415433,      0.250782943854859, 0.2424730747692, 0.24280876806526, 0.409751638237597,      0.28821019895416, 0.28821019895416, 0.434917902994305, 0.284905700992106,      0.431976777822193, 0.431976777822193, 0.194902312085005,      0.128038783583345, 0.226392675254826), PROX_HAWKER = c(0.818439961244233,      0.848294615942255, 0.759405218095962, 0.732915378457501,      0.783686601130967, 0.970053791291438, 0.954180271331751,      0.989318285046145, 0.93957565430704, 0.855348356505915, 1.09574216637781,      0.700607063348248, 0.700607063348248, 1.07570104527527, 0.667389882084889,      0.391270554493315, 0.391270554493315, 0.761066408094757,      1.06471945671836, 1.13086059974118), PROX_MRT = c(0.0961191462833423,      0.066674836544346, 0.16215489673441, 0.179377644983316, 0.146013494832411,      0.101292979723356, 0.128817306959056, 0.0905698875540676,      0.110074032088272, 0.290902656750774, 0.23189639897339, 0.214342865325431,      0.214342865325431, 0.256932190523524, 0.172676244118343,      0.309279527401184, 0.309279527401184, 0.263976344610204,      0.531733722241289, 0.537207200764636), PROX_PARK = c(0.973290645087517,      1.01289159319472, 0.93793434477989, 0.898948825756494, 0.964943529987853,      1.10248671215858, 1.07610116952693, 1.13098813526459, 1.12286028608686,      1.08412864631293, 1.30108171005294, 0.945155408432775, 0.945155408432775,      1.30953091682666, 0.946790994443363, 0.463863624631307, 0.463863624631307,      1.03946212768551, 1.12627074536918, 1.14705623529365), PROX_GOOD_PRISCH = c(4.42376284483209,      4.3780728039611, 4.4381077472328, 4.48326906164864, 4.41058426346667,      4.33684280477295, 4.37541592083903, 4.29841605508598, 4.2580170038876,      4.27934963146811, 4.11427377683663, 4.42474408393319, 4.42474408393319,      4.10033714204368, 4.46427355245829, 4.92565705183443, 4.92565705183443,      4.37243865161908, 4.05859518452173, 3.97306691053722), PROX_MALL = c(0.475935346664486,      0.500682206465503, 0.408666125180857, 0.387952579177684,      0.431747484707969, 0.634323955575517, 0.625072347077181,      0.648384322611893, 0.585854127158584, 0.507308338763366,      0.786897805640679, 0.36232957329041, 0.36232957329041, 0.816725098938654,      0.384398044205003, 0.259948531881284, 0.259948531881284,      0.47180896375681, 0.741140095950697, 0.817008429043632),          PROX_CHAS = c(0.0483941894268844, 3.70448785353559e-08,          0.0955424375353944, 0.116095717847762, 0.0812590805558053,          0.0456516508281062, 0.0752462089475253, 0.0495611607390083,          0.123846030022364, 0.246000912873009, 0.0683167852462459,          0.190952462752685, 0.190952462752685, 0.0738696133860389,          0.0936868185767241, 0.259948576333881, 0.259948576333881,          3.14247486029477e-08, 0.0484693686848179, 0.142936854782623         ), PROX_SUPERMARKET = c(0.123899374628808, 0.112910168339451,          0.205979542456043, 0.21237786594893, 0.194128300134642,          0.04565204632056, 0.0752464841458058, 0.0495614942866338,          0.157551778944521, 0.271122867675942, 0.0683172333971998,          0.190953240917096, 0.190953240917096, 0.0738703098972174,          0.093687407280864, 0.257218468152336, 0.257218468152336,          8.52808058992138e-07, 0.321659607097496, 0.417643104955167         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 0L,          1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 5L, 4L, 5L, 3L, 4L,          5L, 3L, 3L, 4L, 5L, 4L, 4L, 5L, 3L, 4L, 4L, 4L, 4L, 3L         ), WITHIN_350M_BUS = c(11L, 11L, 6L, 9L, 7L, 11L, 11L,          11L, 12L, 9L, 14L, 9L, 9L, 13L, 7L, 6L, 6L, 8L, 6L, 5L         ), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 6L, 3L, 5L, 5L, 3L, 5L, 4L, 4L, 5L, 5L, 4L),          DNeighbour = c(0, 43.8006905517436, 88.4320104460275,          93.508566619304, 94.5778237322394, 155.393161129387,          159.196334826933, 163.675511723904, 167.082625281408,          293.278078965478, 319.703984217133, 331.421507597797,          334.125383587075, 348.732794471307, 506.471369991034,          513.534373826944, 518.590608621411, 523.286052101917,          556.773204681145, 578.755204932565)), row.names = c("710",      "356", "690", "8", "34", "21", "361", "662", "645", "282",      "863", "442", "760", "616", "670", "855", "50", "420", "183",      "988"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.988577620741297,      0.953851282532676, 0.948472725814617, 0.947303608140337,      0.861017289103898, 0.854401223614214, 0.846438089630354,      0.84025877776157, 0.552368768922278, 0.482823452076847, 0.451687819700826,      0.444495226937591, 0.405674079495788, 0.0548458248290519,      0.0452343754698631, 0.0388498545473366, 0.0333057435590964,      0.00555329553436021, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1246513025 
R squared (OOB):                  0.346803 

$Forests[[711]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 320000, 415000,      333000, 345000, 390000, 295000, 350000, 370000, 355000, 325000,      310000, 325000, 365000, 343000, 345000, 345000, 323000, 370000,      335000), floor_area_sqm = c(104, 106, 104, 108, 104, 126,      105, 104, 103, 106, 104, 104, 90, 104, 102, 114, 103, 104,      93, 114), storey_order = c(1L, 1L, 2L, 4L, 4L, 2L, 1L, 2L,      4L, 1L, 1L, 1L, 4L, 2L, 5L, 2L, 5L, 3L, 1L, 3L), remaining_lease_mths = c(863,      851, 875, 895, 862, 879, 870, 863, 881, 825, 872, 879, 912,      828, 935, 839, 944, 956, 1139, 904), PROX_CBD = c(16.2492480828887,      15.9983120826665, 15.8781143296649, 16.5397910410307, 16.2035530975804,      16.1769042321823, 16.027241877126, 15.9139497277605, 15.9139497277605,      15.6983328737326, 15.9652370890998, 15.9652370890998, 16.3759795802925,      15.6198573118901, 15.6558233565228, 15.4582319270764, 15.6615925135045,      16.3822081442679, 15.8422849591204, 16.3642048862006), PROX_ELDERLYCARE = c(0.836071823435323,      0.541237256511776, 0.633288957745621, 0.706939892416911,      0.462412199513001, 0.382017171357745, 0.401697186037664,      0.471057675436291, 0.471057675436291, 0.587171684565488,      0.372962984236141, 0.372962984236141, 0.437652472603004,      0.497975502399054, 0.268146833149962, 0.319622441582349,      0.372854461013726, 0.317064501792404, 0.241353796602158,      0.361422596457277), PROX_HAWKER = c(2.17952287051713, 2.1818192257633,      1.79301822351461, 2.14655926815246, 2.51024920878341, 2.55739022352562,      2.44772974464855, 2.34701070601947, 2.34701070601947, 1.64071314431986,      2.45115541279444, 2.45115541279444, 2.71828200917597, 1.6566914426712,      2.27183532495414, 1.7245004017694, 2.39243139523594, 2.76474077583521,      2.37354129025836, 1.67761333691466), PROX_MRT = c(0.290093838525113,      0.364450998520493, 0.159697283923578, 0.460645764817668,      0.65447898159524, 0.674610535324426, 0.538616250543522, 0.424613907535265,      0.424613907535265, 0.341199960643831, 0.52727924180445, 0.52727924180445,      0.870089952652958, 0.297714051615291, 0.370313443989706,      0.233994550027949, 0.499275570100955, 1.02897813643603, 0.721786411333246,      0.653367521351592), PROX_PARK = c(0.886796559947336, 1.05372411430502,      0.678969217742802, 0.711243459523284, 1.32632916723033, 1.39748820590438,      1.35146177086674, 1.30337713627377, 1.30337713627377, 0.686441032296595,      1.39203600576681, 1.39203600576681, 1.49155883505512, 0.782164021798725,      1.16446299803307, 0.998254167239372, 1.19384102986047, 1.73717122008599,      1.42084473696832, 0.32735774848914), PROX_GOOD_PRISCH = c(6.4097782056775,      6.12314921566155, 6.09357654169244, 6.77397603493671, 6.27623366830878,      6.23706483495109, 6.09534233388474, 5.99275530970335, 5.99275530970335,      5.93514971647738, 6.02718330754398, 6.02718330754398, 6.4246273009838,      5.84268664292306, 5.73062396037349, 5.64801716169655, 5.71328270316738,      6.39421933734494, 5.8611108446886, 6.76031366250815), PROX_MALL = c(0.355568776497803,      0.45623102577182, 0.145699923430919, 0.345326846187852, 0.370949542105629,      0.292722816398213, 0.275346491924215, 0.338688619983659,      0.338688619983659, 0.310729806849059, 0.238316612740974,      0.238316612740974, 0.409369768138594, 0.394873468760787,      0.155488337640192, 0.455554164929496, 0.238209845871265,      0.374078152135628, 0.177442774283774, 0.388175183991252),          PROX_CHAS = c(0.121251060497272, 0.290215734280461, 0.0723222156351423,          0.286223989121013, 0.370949494121523, 0.292722768811081,          0.275346446899555, 0.338688583692834, 0.338688583692834,          0.261893114523038, 0.238316573509266, 0.238316573509266,          0.409369730284335, 0.28481487293308, 0.155488306171375,          0.158017550603297, 0.238209795937414, 0.374078140160073,          0.177442804982894, 0.380772978950647), PROX_SUPERMARKET = c(0.350013224352412,          0.162067612034701, 0.157892159590583, 0.377165028023417,          0.235998227482853, 0.254565333705719, 0.141316208924405,          0.112474666082431, 0.112474666082431, 0.322774913149109,          0.177610526119132, 0.177610526119132, 0.389543937857684,          0.407244625741832, 0.152010752053411, 0.387973705585917,          0.238833101010687, 0.357574924056941, 0.197153631350279,          0.422789252098693), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 0L, 0L, 3L, 5L, 3L, 3L, 3L, 1L, 3L, 3L, 2L, 1L, 4L,          1L, 3L, 2L, 2L, 1L), WITHIN_350M_CHILDCARE = c(4L, 6L,          3L, 1L, 5L, 8L, 8L, 9L, 9L, 4L, 6L, 6L, 2L, 3L, 8L, 8L,          5L, 1L, 7L, 4L), WITHIN_350M_BUS = c(9L, 12L, 7L, 2L,          7L, 9L, 12L, 15L, 15L, 8L, 14L, 14L, 5L, 9L, 14L, 14L,          16L, 9L, 15L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L,          2L, 3L, 3L), DNeighbour = c(0, 322.196375374501, 419.338776516853,          462.338220927398, 468.716557052544, 540.293312088346,          550.033461038724, 556.084924522587, 558.919553820378,          605.425634971604, 606.969700171078, 608.78684681064,          609.516818689846, 658.483317878794, 774.157058649696,          790.607871775707, 851.342185287628, 857.39975879297,          922.671286714622, 954.115089460289)), row.names = c("711",      "888", "510", "498", "806", "54", "463", "959", "927", "196",      "566", "490", "974", "304", "450", "383", "572", "173", "585",      "252"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.784933234350476,      0.650982659515219, 0.585514513306853, 0.575573635832125,      0.461489928019661, 0.445775928330535, 0.43601141124551, 0.431438350086468,      0.356835463004288, 0.354382877320834, 0.351499408251255,      0.350341978904316, 0.274253139334476, 0.116724942722312,      0.0982027733168202, 0.0415459440442594, 0.03704003436293,      0.00420239386149491, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1037603114 
R squared (OOB):                  -0.2256272 

$Forests[[712]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(530000, 588000, 508000,      568000, 565000, 550000, 613000, 350000, 310000, 310000, 415000,      370000, 323000, 370000, 4e+05, 315000, 368000, 415000, 370000,      320000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 108,      84, 105, 93, 104, 104, 92, 96, 84, 92, 92, 92, 105), storey_order = c(2L,      2L, 1L, 4L, 5L, 2L, 4L, 1L, 2L, 3L, 4L, 4L, 2L, 1L, 2L, 3L,      2L, 5L, 1L, 3L), remaining_lease_mths = c(1108, 1119, 1121,      1117, 1117, 1124, 1119, 809, 811, 827, 1141, 805, 806, 1090,      1098, 804, 1100, 1144, 1146, 815), PROX_CBD = c(15.4274201584828,      15.4444506298565, 15.4653265021947, 15.3987887594526, 15.5121102277751,      15.4589251607201, 15.4589251607201, 15.5495667695359, 15.7493840144196,      15.6029325535915, 15.719551353229, 15.7683454047388, 15.5926635355646,      15.0414874321427, 15.0414874321427, 15.9050437012323, 14.9752079088984,      15.9533618390172, 15.87024444961, 15.4421704385289), PROX_ELDERLYCARE = c(0.637452860447804,      0.64097589351183, 0.595913887497293, 0.578356799737993, 0.536539272984936,      0.68815946921851, 0.68815946921851, 0.619297318170404, 0.392042381698264,      0.338118814836049, 0.251997184681221, 0.584689505447093,      0.348154483747206, 0.180026828914976, 0.180026828914976,      0.346730428331521, 0.199763345782594, 0.251148223850536,      0.10693627682917, 0.497101135842809), PROX_HAWKER = c(0.365463704587155,      0.396657168515828, 0.380307090885425, 0.294909248784724,      0.396815374523363, 0.469966667540803, 0.469966667540803,      0.5213921544653, 0.617009737136425, 0.432858942767381, 0.543607139892928,      0.791474322012874, 0.438799857473275, 0.135868389364205,      0.135868389364205, 0.79668564149145, 0.202333554334061, 0.802087399746937,      0.694651515851724, 0.380223054122965), PROX_MRT = c(0.843485398790606,      0.812282865657068, 0.848209897671344, 0.921278705332003,      0.8698145169005, 0.729135125223405, 0.729135125223405, 0.711232187253978,      0.825478596695925, 1.13678031777592, 1.04322565796881, 0.523772975672589,      1.20427337027458, 1.27219969611937, 1.27219969611937, 0.750476153315833,      1.27457972333389, 0.8851452059773, 1.09555222562317, 1.36083949137777     ), PROX_PARK = c(0.308677700833154, 0.279663832574521, 0.321827820326955,      0.283836897691409, 0.357009242210065, 0.194645215248471,      0.194645215248471, 0.20876400491182, 0.423881452963658, 0.578149656320062,      0.60075194434184, 0.270342199592644, 0.608584573014238, 0.270313948020077,      0.270313948020077, 0.475878847958935, 0.259935562114549,      0.589052524814441, 0.707790886000148, 0.607675278354181),          PROX_GOOD_PRISCH = c(6.00000717285666, 6.01089245018733,          6.04109347904609, 5.98797030068414, 6.0946998605156,          6.00758296280353, 6.00758296280353, 6.09891773314498,          6.32317863359129, 6.24898658848638, 6.34176102939636,          6.2828979894293, 6.25532900137267, 5.69200203864946,          5.69200203864946, 6.45664561130608, 5.6171537261999,          6.52939634907869, 6.49806658702102, 6.14472917023144),          PROX_MALL = c(0.657665812567692, 0.640411632029909, 0.62067023459119,          0.692287086677849, 0.577683661914992, 0.632880647427991,          0.632880647427991, 0.541358966367059, 0.340817581482914,          0.60644342729779, 0.460595397283409, 0.400271919676516,          0.657431321444681, 0.767711199656331, 0.767711199656331,          0.18299798168314, 0.689421511186311, 0.161178852361569,          0.388975340293238, 0.860369947035052), PROX_CHAS = c(0.0964991818226865,          0.128062594375949, 0.114224376246159, 0.0335692412129841,          0.14804241676277, 0.206736748098593, 0.206736748098593,          0.252209440491103, 0.347229964463676, 0.336408570757183,          0.269388612247007, 0.406778788965278, 0.337342861051532,          0.163757574589084, 0.163757574589084, 0.190026772642962,          0.230775629929228, 0.165813590617473, 0.140210421841136,          0.200516789487464), PROX_SUPERMARKET = c(0.324468805261885,          0.312290330939399, 0.284849629955282, 0.352133387221186,          0.237787830949247, 0.327859325274294, 0.327859325274294,          0.243797536441002, 2.98731019421495e-07, 0.338214025323699,          0.219989756424723, 0.30290594542381, 0.403551045123396,          0.197268674737732, 0.197268674737732, 0.179336240856332,          0.264202614673064, 0.162291812321236, 0.287679129281494,          0.291068212048821), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L,          0L, 0L, 0L, 1L, 2L), WITHIN_350M_CHILDCARE = c(2L, 1L,          1L, 1L, 2L, 2L, 2L, 1L, 5L, 4L, 5L, 5L, 4L, 4L, 4L, 4L,          4L, 3L, 4L, 6L), WITHIN_350M_BUS = c(7L, 7L, 7L, 6L,          6L, 7L, 7L, 6L, 7L, 6L, 5L, 8L, 6L, 9L, 9L, 8L, 9L, 8L,          8L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 5L, 6L, 4L, 3L, 7L, 2L, 3L, 3L, 6L, 3L, 5L, 4L, 3L         ), DNeighbour = c(0, 23.3082754469867, 39.7980542793935,          86.8729085231776, 101.803670985395, 106.832108039099,          110.109354644231, 156.080541197112, 327.319717848495,          388.825765188645, 389.279998633656, 418.180602423027,          445.548145236302, 475.990457536693, 479.516771888265,          480.949400040964, 510.882488956453, 531.743982169263,          533.511178981962, 541.494999513885)), row.names = c("712",      "574", "962", "714", "605", "963", "455", "236", "956", "924",      "698", "262", "458", "793", "632", "59", "558", "124", "582",      "586"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996297808675709,      0.989225671517454, 0.949185864181062, 0.930557700329075,      0.923667554733079, 0.919012739654204, 0.840738028974694,      0.402731157024129, 0.234633858316015, 0.233467549726708,      0.162891594151445, 0.104317207394658, 0.051667975851977,      0.0465759800316401, 0.044572476658104, 0.0120715543198209,      0.00127384014973771, 0.000856772760889573, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7049610097 
R squared (OOB):                  0.3743509 

$Forests[[713]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 370000, 375000,      345000, 420000, 430000, 548000, 705000, 720000, 640000, 516000,      440000, 450000, 638000, 630000, 588000, 485000, 640000, 435000,      350000), floor_area_sqm = c(91, 92, 92, 92, 91, 93, 95, 91,      91, 90, 98, 92, 92, 102, 102, 95, 103, 91, 98, 92), storey_order = c(3L,      4L, 2L, 1L, 1L, 3L, 2L, 3L, 3L, 1L, 3L, 3L, 1L, 9L, 6L, 3L,      2L, 3L, 1L, 1L), remaining_lease_mths = c(754, 699, 695,      695, 742, 728, 981, 1097, 1079, 1095, 698, 677, 679, 869,      870, 1025, 855, 992, 692, 714), PROX_CBD = c(8.32334928378694,      8.34406204250889, 8.4016901584654, 8.46158045860266, 8.31995738049774,      8.20083785223568, 8.37940280964872, 9.2692311101123, 9.2692311101123,      9.29204667907952, 8.70928269501252, 8.7589377611275, 8.7589377611275,      7.86314261154951, 7.86314261154951, 8.51090417959469, 7.70120549943486,      9.30017281297198, 8.85689554561162, 9.56457497404925), PROX_ELDERLYCARE = c(0.163895949541214,      0.224798473876808, 0.150390524199432, 0.0854535518544851,      0.259768432786295, 0.41240614163537, 0.335901694998922, 0.751834464907999,      0.751834464907999, 0.771441336950035, 0.119444653145476,      0.169235371196244, 0.169235371196244, 0.731462959428347,      0.731462959428347, 0.120425912751251, 0.883817181840043,      0.677643973897152, 0.272187629818594, 1.08567795373645),          PROX_HAWKER = c(0.1672780527947, 0.308707066729857, 0.205000896629144,          0.266645682444034, 0.387410687724852, 0.35604829505958,          0.203869560106314, 0.13065395668809, 0.13065395668809,          0.172288624542473, 0.281172749103646, 0.330091511745513,          0.330091511745513, 0.573870222021737, 0.573870222021737,          0.166697492306482, 0.72907919143595, 0.445284816601654,          0.446318851105742, 0.44425153291851), PROX_MRT = c(1.03738004469153,          1.14033242259394, 0.747297636603152, 0.681495718287031,          0.705543842504761, 0.805467939952349, 0.62312262100292,          0.513894886157587, 0.513894886157587, 0.459210746913958,          0.379410256905797, 0.338391484905848, 0.338391484905848,          0.85984195598231, 0.85984195598231, 0.608243230971526,          0.692418360175919, 0.258716275079725, 0.372678744867538,          1.06652131186481), PROX_PARK = c(0.839050716088865, 0.748901820021747,          0.784786352249359, 0.773425606080498, 0.517920409018535,          0.393072899865764, 0.394842599629624, 0.421166514654472,          0.421166514654472, 0.354651430366215, 0.513364518506117,          0.469340752260783, 0.469340752260783, 0.281207712521794,          0.281207712521794, 0.368529270986479, 0.450335295656325,          0.166211588513849, 0.479885299937475, 0.829152657918636         ), PROX_GOOD_PRISCH = c(1.6197212814627, 1.74338078296013,          1.42922442943649, 1.4534383809239, 1.20021801549651,          1.04754826657838, 1.14854892992093, 2.13343245969583,          2.13343245969583, 2.10961489740732, 1.35677240305411,          1.40615721612308, 1.40615721612308, 0.562813849840511,          0.562813849840511, 1.13331232297991, 0.490611064856358,          1.82000438656186, 1.47413984574199, 1.87441197950121),          PROX_MALL = c(0.952850965311535, 0.813314037197816, 0.856591768216477,          0.793630348518112, 0.768764019555169, 0.844084234929545,          0.651389947232486, 0.655923636590071, 0.655923636590071,          0.591682371404957, 0.313890580083005, 0.264395031718586,          0.264395031718586, 0.943364056194349, 0.943364056194349,          0.540250505232014, 0.779066462317335, 0.302826744416793,          0.241772845363545, 1.18499732413142), PROX_CHAS = c(0.218034921212892,          0.347263729641395, 0.14998683096932, 0.161491876005888,          0.1066489590073, 0.0460460495231756, 0.11938167830482,          0.0970531700661786, 0.0970531700661786, 0.116738661463474,          0.112175615725657, 0.0806835690144568, 0.0806835690144568,          0.201852081003395, 0.201852081003395, 0.0869956868442428,          0.0405139203460024, 0.258750733988333, 0.157458356405151,          0.358325278319411), PROX_SUPERMARKET = c(0.502751024921131,          0.624544400837596, 0.194600933367586, 0.128302570008396,          0.284909088626731, 0.436961702644775, 0.282093113359979,          0.098601858754749, 0.098601858754749, 0.110756393825321,          0.221335227738319, 0.24726445439454, 0.24726445439454,          0.115543350477338, 0.115543350477338, 0.0869967242830128,          0.0588346413192393, 0.378001630838772, 0.224853982916395,          0.418420374852224), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 4L, 4L,          2L, 4L, 0L, 2L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L,          3L, 3L, 3L, 2L, 4L, 4L, 4L, 5L, 7L, 8L, 8L, 3L, 3L, 6L,          4L, 3L, 7L, 2L), WITHIN_350M_BUS = c(4L, 5L, 7L, 7L,          7L, 7L, 6L, 10L, 10L, 7L, 6L, 6L, 6L, 2L, 2L, 5L, 4L,          9L, 7L, 4L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L,          2L, 3L, 2L, 2L, 2L, 4L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 3L,          1L), DNeighbour = c(0, 137.80332281263, 341.869495023095,          390.880434874996, 584.67451030836, 687.985315498419,          766.875112491152, 1017.57163804075, 1020.43412217177,          1066.61661004627, 1076.31447563757, 1093.61510147598,          1096.57137365107, 1114.98991825056, 1121.84465652187,          1127.34349990178, 1139.51002139116, 1215.70384195402,          1233.2249354498, 1241.33225495551)), row.names = c("713",      "204", "682", "676", "716", "79", "998", "642", "306", "191",      "446", "386", "194", "931", "476", "94", "811", "973", "397",      "197"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.975504351316368,      0.85405676197381, 0.811522879732784, 0.605523140520936, 0.480010018882638,      0.382348093121992, 0.107599597805732, 0.105130181896825,      0.0684800067845636, 0.0616032739250026, 0.0501030179103827,      0.0482395764147962, 0.0373263039870807, 0.033580408372424,      0.0307031609476377, 0.0247510899791246, 0.00166999180710816,      0.000169510813059742, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7274449939 
R squared (OOB):                  0.5450745 

$Forests[[714]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(568000, 508000, 530000,      588000, 565000, 550000, 613000, 350000, 310000, 310000, 415000,      323000, 370000, 4e+05, 368000, 320000, 315000, 331000, 370000,      310000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 108,      105, 84, 93, 104, 92, 96, 92, 105, 104, 107, 104, 104), storey_order = c(4L,      1L, 2L, 2L, 5L, 2L, 4L, 1L, 3L, 2L, 4L, 2L, 1L, 2L, 2L, 3L,      1L, 2L, 4L, 3L), remaining_lease_mths = c(1117, 1121, 1108,      1119, 1117, 1124, 1119, 809, 827, 811, 1141, 806, 1090, 1098,      1100, 815, 807, 869, 805, 869), PROX_CBD = c(15.3987887594526,      15.4653265021947, 15.4274201584828, 15.4444506298565, 15.5121102277751,      15.4589251607201, 15.4589251607201, 15.5495667695359, 15.6029325535915,      15.7493840144196, 15.719551353229, 15.5926635355646, 15.0414874321427,      15.0414874321427, 14.9752079088984, 15.4421704385289, 15.3877172812078,      15.2221855529023, 15.7683454047388, 15.2437764157418), PROX_ELDERLYCARE = c(0.578356799737993,      0.595913887497293, 0.637452860447804, 0.64097589351183, 0.536539272984936,      0.68815946921851, 0.68815946921851, 0.619297318170404, 0.338118814836049,      0.392042381698264, 0.251997184681221, 0.348154483747206,      0.180026828914976, 0.180026828914976, 0.199763345782594,      0.497101135842809, 0.4433955665635, 0.277621781700774, 0.584689505447093,      0.313986883487753), PROX_HAWKER = c(0.294909248784724, 0.380307090885425,      0.365463704587155, 0.396657168515828, 0.396815374523363,      0.469966667540803, 0.469966667540803, 0.5213921544653, 0.432858942767381,      0.617009737136425, 0.543607139892928, 0.438799857473275,      0.135868389364205, 0.135868389364205, 0.202333554334061,      0.380223054122965, 0.342886316384117, 0.252887916114098,      0.791474322012874, 0.306302732963744), PROX_MRT = c(0.921278705332003,      0.848209897671344, 0.843485398790606, 0.812282865657068,      0.8698145169005, 0.729135125223405, 0.729135125223405, 0.711232187253978,      1.13678031777592, 0.825478596695925, 1.04322565796881, 1.20427337027458,      1.27219969611937, 1.27219969611937, 1.27457972333389, 1.36083949137777,      1.37085724211185, 1.3991563615676, 0.523772975672589, 1.43926724244883     ), PROX_PARK = c(0.283836897691409, 0.321827820326955, 0.308677700833154,      0.279663832574521, 0.357009242210065, 0.194645215248471,      0.194645215248471, 0.20876400491182, 0.578149656320062, 0.423881452963658,      0.60075194434184, 0.608584573014238, 0.270313948020077, 0.270313948020077,      0.259935562114549, 0.607675278354181, 0.57859629393417, 0.500874596291267,      0.270342199592644, 0.554495921895103), PROX_GOOD_PRISCH = c(5.98797030068414,      6.04109347904609, 6.00000717285666, 6.01089245018733, 6.0946998605156,      6.00758296280353, 6.00758296280353, 6.09891773314498, 6.24898658848638,      6.32317863359129, 6.34176102939636, 6.25532900137267, 5.69200203864946,      5.69200203864946, 5.6171537261999, 6.14472917023144, 6.09187968106835,      5.9271396376627, 6.2828979894293, 5.96162295702861), PROX_MALL = c(0.692287086677849,      0.62067023459119, 0.657665812567692, 0.640411632029909, 0.577683661914992,      0.632880647427991, 0.632880647427991, 0.541358966367059,      0.60644342729779, 0.340817581482914, 0.460595397283409, 0.657431321444681,      0.767711199656331, 0.767711199656331, 0.689421511186311,      0.860369947035052, 0.900250825960545, 1.02106462402642, 0.400271919676516,      1.03199787585398), PROX_CHAS = c(0.0335692412129841, 0.114224376246159,      0.0964991818226865, 0.128062594375949, 0.14804241676277,      0.206736748098593, 0.206736748098593, 0.252209440491103,      0.336408570757183, 0.347229964463676, 0.269388612247007,      0.337342861051532, 0.163757574589084, 0.163757574589084,      0.230775629929228, 0.200516789487464, 0.147116034863504,      0.0544459444778504, 0.406778788965278, 4.60754704120663e-08     ), PROX_SUPERMARKET = c(0.352133387221186, 0.284849629955282,      0.324468805261885, 0.312290330939399, 0.237787830949247,      0.327859325274294, 0.327859325274294, 0.243797536441002,      0.338214025323699, 2.98731019421495e-07, 0.219989756424723,      0.403551045123396, 0.197268674737732, 0.197268674737732,      0.264202614673064, 0.291068212048821, 0.236697160290918,      0.0768892314501321, 0.30290594542381, 0.0947293086454089),          WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 1L, 0L,          0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 2L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 1L, 2L, 2L,          2L, 1L, 4L, 5L, 5L, 4L, 4L, 4L, 4L, 6L, 4L, 5L, 5L, 4L         ), WITHIN_350M_BUS = c(6L, 7L, 7L, 7L, 6L, 7L, 7L, 6L,          6L, 7L, 5L, 6L, 9L, 9L, 9L, 9L, 7L, 8L, 8L, 8L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 4L, 5L, 4L, 6L, 3L, 2L, 3L, 3L, 3L,          3L, 3L, 3L, 7L, 3L), DNeighbour = c(0, 85.9143666986003,          86.8729085231776, 109.393308499374, 117.776737099828,          193.512779430068, 196.51892979272, 235.442763622553,          337.543871802173, 359.537021569923, 367.416964376735,          386.489684964554, 404.607002888128, 407.701812161633,          447.508327987194, 462.335760588013, 464.211232494893,          475.348389173733, 495.242323025643, 510.751202583869)), row.names = c("714",      "962", "712", "574", "605", "963", "455", "236", "924", "956",      "698", "458", "793", "632", "558", "586", "895", "679", "262",      "578"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.944210215495784,      0.942976751529687, 0.910357208218442, 0.896479263324401,      0.73350812609777, 0.725829505568837, 0.620161672545754, 0.317240654472874,      0.254491725348165, 0.232818600333278, 0.182664363505474,      0.138719367627169, 0.131633718801789, 0.0539699364643098,      0.0326162118165556, 0.0302545274377885, 0.017909337419642,      0.00357695623463682, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5458068235 
R squared (OOB):                  0.5545778 

$Forests[[715]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 430000, 4e+05,      408000, 410000, 520000, 670000, 439000, 648000, 435000, 5e+05,      565000, 588000, 450000, 440000, 516000, 420000, 448000, 640000,      548000), floor_area_sqm = c(91, 102, 97, 91, 97, 89, 94,      97, 116, 98, 105, 103, 95, 92, 92, 98, 99, 105, 91, 95),          storey_order = c(3L, 3L, 3L, 3L, 4L, 3L, 6L, 3L, 4L,          1L, 2L, 4L, 3L, 1L, 3L, 3L, 3L, 1L, 3L, 2L), remaining_lease_mths = c(691,          869, 681, 674, 665, 801, 1104, 669, 871, 692, 857, 852,          1025, 679, 677, 698, 716, 866, 992, 981), PROX_CBD = c(9.09613481662016,          8.77938926255451, 9.29171741525155, 8.96374942103709,          8.66747718420982, 8.52269583143835, 8.58683984966127,          8.73211086874077, 8.27332873959955, 8.85689554561162,          8.19182633034048, 8.19182633034048, 8.51090417959469,          8.7589377611275, 8.7589377611275, 8.70928269501252, 9.97053790241166,          8.05276498978228, 9.30017281297198, 8.37940280964872),          PROX_ELDERLYCARE = c(0.297153722290783, 0.374310234303432,          0.121888026553089, 0.267188539522683, 0.0441159965049124,          0.820777449495704, 0.203840329735754, 0.292319821872094,          0.354571010374291, 0.272187629818594, 0.444818640633349,          0.444818640633349, 0.120425912751251, 0.169235371196244,          0.169235371196244, 0.119444653145476, 0.115679603991599,          0.599632276485302, 0.677643973897152, 0.335901694998922         ), PROX_HAWKER = c(0.276770006011078, 0.0530841043788875,          0.631142210027013, 0.393731145214296, 0.357845486047337,          0.712401259368985, 0.433030813326955, 0.436547444862961,          0.610975272844239, 0.446318851105742, 0.553760551741158,          0.553760551741158, 0.166697492306482, 0.330091511745513,          0.330091511745513, 0.281172749103646, 0.499128715987426,          0.560005371648267, 0.445284816601654, 0.203869560106314         ), PROX_MRT = c(1.2652859093471, 1.18818107396501, 1.65516610461175,          0.71987240697712, 0.874328108605637, 1.68231360215177,          0.751078096441513, 0.600073719023998, 1.0936063211659,          0.372678744867538, 1.08457427678223, 1.08457427678223,          0.608243230971526, 0.338391484905848, 0.338391484905848,          0.379410256905797, 0.460213635694043, 1.12051759514643,          0.258716275079725, 0.62312262100292), PROX_PARK = c(0.429900368262469,          0.700959888788064, 0.199649911236163, 0.60552725382935,          0.691303172853456, 0.11043559696871, 0.52118662053352,          0.617507126900098, 0.477465658778908, 0.479885299937475,          0.374102285306053, 0.374102285306053, 0.368529270986479,          0.469340752260783, 0.469340752260783, 0.513364518506117,          0.425125261748846, 0.30128672956265, 0.166211588513849,          0.394842599629624), PROX_GOOD_PRISCH = c(0.657187468393487,          0.963274696928036, 0.365175047542414, 1.13785719900195,          1.23754792076915, 0.287100670168393, 1.16640042723588,          1.31940815963163, 0.856939381531897, 1.47413984574199,          0.769163347741007, 0.769163347741007, 1.13331232297991,          1.40615721612308, 1.40615721612308, 1.35677240305411,          1.1615230473897, 0.631981624625733, 1.82000438656186,          1.14854892992093), PROX_MALL = c(0.916512124719577, 0.946404029132472,          1.26787190539693, 0.480317195978648, 0.740457696387364,          1.03817238314954, 0.632538285087724, 0.469553394647833,          0.991200103712322, 0.241772845363545, 0.997182626507123,          0.997182626507123, 0.540250505232014, 0.264395031718586,          0.264395031718586, 0.313890580083005, 0.687811479893446,          1.07178760783233, 0.302826744416793, 0.651389947232486         ), PROX_CHAS = c(0.209184408253321, 0.064920565519497,          0.143872847977416, 0.143131544605207, 0.34300149800099,          0.0550867573210672, 0.237191200694799, 0.0664211666443358,          0.413431749899638, 0.157458356405151, 0.311461966699573,          0.311461966699573, 0.0869956868442428, 0.0806835690144568,          0.0806835690144568, 0.112175615725657, 0.354473795917701,          0.167974733321899, 0.258750733988333, 0.11938167830482         ), PROX_SUPERMARKET = c(0.235755012868274, 0.239175324970861,          0.371928496535936, 0.181164390242962, 0.158725757407685,          0.153408018077838, 0.35437102597818, 0.350370254212894,          0.502190497784501, 0.224853982916395, 0.485938543293979,          0.485938543293979, 0.0869967242830128, 0.24726445439454,          0.24726445439454, 0.221335227738319, 0.61645520286935,          0.372458117254617, 0.378001630838772, 0.282093113359979         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 0L,          1L, 1L, 0L, 2L, 0L, 0L, 2L, 2L, 2L, 2L, 0L, 3L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 3L, 4L, 2L, 3L,          5L, 6L, 4L, 7L, 2L, 2L, 6L, 8L, 8L, 7L, 1L, 3L, 3L, 4L         ), WITHIN_350M_BUS = c(7L, 4L, 9L, 6L, 5L, 6L, 4L, 7L,          8L, 7L, 7L, 7L, 5L, 6L, 6L, 6L, 10L, 5L, 9L, 6L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 3L, 3L, 3L,          4L, 2L, 1L, 2L, 3L), DNeighbour = c(0, 335.920401151023,          416.640789544451, 560.1630162314, 627.727737815822, 819.509320614435,          822.082112900045, 824.196588769361, 930.286675422145,          971.942998866778, 1043.25371847339, 1045.30000306101,          1074.32125206414, 1095.8480432134, 1098.09283588234,          1106.70477625744, 1145.0786307847, 1202.99747384761,          1413.26115691366, 1440.59570444723)), row.names = c("715",      "606", "122", "692", "331", "588", "149", "842", "795", "397",      "674", "128", "94", "194", "386", "446", "359", "635", "973",      "998"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.894209183813727,      0.839706713813408, 0.720465670662863, 0.656309159276388,      0.457501788741696, 0.454752893898346, 0.452493462604913,      0.339874092650078, 0.296812627758084, 0.226157493881233,      0.224203057225586, 0.197011733188171, 0.177535278437479,      0.175541097681211, 0.16795816923408, 0.135563989986979, 0.091602470656078,      0.00141292689031667, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5952246887 
R squared (OOB):                  0.2622581 

$Forests[[716]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 430000, 548000,      345000, 375000, 588000, 516000, 335000, 440000, 450000, 638000,      630000, 370000, 485000, 435000, 439000, 448000, 670000, 5e+05,      565000), floor_area_sqm = c(91, 93, 95, 92, 92, 95, 98, 91,      92, 92, 102, 102, 92, 103, 98, 97, 105, 94, 105, 103), storey_order = c(1L,      3L, 2L, 1L, 2L, 3L, 3L, 3L, 3L, 1L, 9L, 6L, 4L, 2L, 1L, 3L,      1L, 6L, 2L, 4L), remaining_lease_mths = c(742, 728, 981,      695, 695, 1025, 698, 754, 677, 679, 869, 870, 699, 855, 692,      669, 866, 1104, 857, 852), PROX_CBD = c(8.31995738049774,      8.20083785223568, 8.37940280964872, 8.46158045860266, 8.4016901584654,      8.51090417959469, 8.70928269501252, 8.32334928378694, 8.7589377611275,      8.7589377611275, 7.86314261154951, 7.86314261154951, 8.34406204250889,      7.70120549943486, 8.85689554561162, 8.73211086874077, 8.05276498978228,      8.58683984966127, 8.19182633034048, 8.19182633034048), PROX_ELDERLYCARE = c(0.259768432786295,      0.41240614163537, 0.335901694998922, 0.0854535518544851,      0.150390524199432, 0.120425912751251, 0.119444653145476,      0.163895949541214, 0.169235371196244, 0.169235371196244,      0.731462959428347, 0.731462959428347, 0.224798473876808,      0.883817181840043, 0.272187629818594, 0.292319821872094,      0.599632276485302, 0.203840329735754, 0.444818640633349,      0.444818640633349), PROX_HAWKER = c(0.387410687724852, 0.35604829505958,      0.203869560106314, 0.266645682444034, 0.205000896629144,      0.166697492306482, 0.281172749103646, 0.1672780527947, 0.330091511745513,      0.330091511745513, 0.573870222021737, 0.573870222021737,      0.308707066729857, 0.72907919143595, 0.446318851105742, 0.436547444862961,      0.560005371648267, 0.433030813326955, 0.553760551741158,      0.553760551741158), PROX_MRT = c(0.705543842504761, 0.805467939952349,      0.62312262100292, 0.681495718287031, 0.747297636603152, 0.608243230971526,      0.379410256905797, 1.03738004469153, 0.338391484905848, 0.338391484905848,      0.85984195598231, 0.85984195598231, 1.14033242259394, 0.692418360175919,      0.372678744867538, 0.600073719023998, 1.12051759514643, 0.751078096441513,      1.08457427678223, 1.08457427678223), PROX_PARK = c(0.517920409018535,      0.393072899865764, 0.394842599629624, 0.773425606080498,      0.784786352249359, 0.368529270986479, 0.513364518506117,      0.839050716088865, 0.469340752260783, 0.469340752260783,      0.281207712521794, 0.281207712521794, 0.748901820021747,      0.450335295656325, 0.479885299937475, 0.617507126900098,      0.30128672956265, 0.52118662053352, 0.374102285306053, 0.374102285306053     ), PROX_GOOD_PRISCH = c(1.20021801549651, 1.04754826657838,      1.14854892992093, 1.4534383809239, 1.42922442943649, 1.13331232297991,      1.35677240305411, 1.6197212814627, 1.40615721612308, 1.40615721612308,      0.562813849840511, 0.562813849840511, 1.74338078296013, 0.490611064856358,      1.47413984574199, 1.31940815963163, 0.631981624625733, 1.16640042723588,      0.769163347741007, 0.769163347741007), PROX_MALL = c(0.768764019555169,      0.844084234929545, 0.651389947232486, 0.793630348518112,      0.856591768216477, 0.540250505232014, 0.313890580083005,      0.952850965311535, 0.264395031718586, 0.264395031718586,      0.943364056194349, 0.943364056194349, 0.813314037197816,      0.779066462317335, 0.241772845363545, 0.469553394647833,      1.07178760783233, 0.632538285087724, 0.997182626507123, 0.997182626507123     ), PROX_CHAS = c(0.1066489590073, 0.0460460495231756, 0.11938167830482,      0.161491876005888, 0.14998683096932, 0.0869956868442428,      0.112175615725657, 0.218034921212892, 0.0806835690144568,      0.0806835690144568, 0.201852081003395, 0.201852081003395,      0.347263729641395, 0.0405139203460024, 0.157458356405151,      0.0664211666443358, 0.167974733321899, 0.237191200694799,      0.311461966699573, 0.311461966699573), PROX_SUPERMARKET = c(0.284909088626731,      0.436961702644775, 0.282093113359979, 0.128302570008396,      0.194600933367586, 0.0869967242830128, 0.221335227738319,      0.502751024921131, 0.24726445439454, 0.24726445439454, 0.115543350477338,      0.115543350477338, 0.624544400837596, 0.0588346413192393,      0.224853982916395, 0.350370254212894, 0.372458117254617,      0.35437102597818, 0.485938543293979, 0.485938543293979),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 2L,          2L, 1L, 2L, 2L, 4L, 4L, 1L, 4L, 2L, 1L, 3L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 4L, 3L, 3L, 6L,          7L, 1L, 8L, 8L, 3L, 3L, 1L, 4L, 7L, 6L, 3L, 5L, 2L, 2L         ), WITHIN_350M_BUS = c(7L, 7L, 6L, 7L, 7L, 5L, 6L, 4L,          6L, 6L, 2L, 2L, 5L, 4L, 7L, 7L, 5L, 4L, 7L, 7L), WITHIN_1KM_PRISCH = c(2L,          2L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 3L,          3L, 1L, 2L, 2L, 2L), DNeighbour = c(0, 156.326845564837,          187.144086370652, 264.45614849196, 269.014139766894,          555.171937415277, 561.776897142871, 584.67451030836,          596.406195890169, 600.263051689131, 638.31608632422,          646.040933003313, 721.724939700043, 735.150973950147,          739.04933061125, 806.856811686801, 816.794581553533,          816.998052663629, 868.166011418392, 873.307056260582)), row.names = c("716",      "79", "998", "676", "682", "94", "446", "713", "386", "194",      "931", "476", "204", "811", "397", "842", "635", "149", "674",      "128"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.936940750865004,      0.910265337774868, 0.825007331506886, 0.81922576126525, 0.355061077289296,      0.343626725425692, 0.30445757910192, 0.284738343180718, 0.278316541422171,      0.216930958507845, 0.204982148764219, 0.100500183667141,      0.084896856238584, 0.0805624711816834, 0.0214303158714636,      0.0156836239145386, 0.0155746399720812, 0.000137806096709702,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5292221936 
R squared (OOB):                  0.4549027 

$Forests[[717]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(455000, 585000, 370000,      347000, 410000, 370000, 485000, 334008, 330000, 445000, 350000,      460000, 335000, 358000, 491000, 450000, 3e+05, 290000, 285000,      345000), floor_area_sqm = c(99, 91, 90, 90, 101, 102, 93,      103, 103, 93, 93, 93, 102, 104, 92, 93, 99, 92, 92, 90),          storey_order = c(2L, 10L, 3L, 2L, 3L, 3L, 10L, 2L, 2L,          7L, 3L, 7L, 4L, 4L, 9L, 4L, 1L, 4L, 1L, 5L), remaining_lease_mths = c(951,          995, 977, 971, 936, 927, 1112, 917, 937, 1117, 1018,          1135, 940, 815, 1137, 1131, 697, 690, 697, 937), PROX_CBD = c(14.3012013074868,          14.2059144167977, 14.489397367385, 14.6079806280174,          13.8911800577968, 14.12564920201, 14.8542518275748, 14.2719972222741,          14.5165027597446, 14.9897790388493, 14.9930585550483,          15.0332592042754, 14.4474740114555, 14.0960645211931,          15.0782917837809, 15.1194109037639, 14.8036441916204,          14.8961777358487, 14.6519123293037, 14.2787185061121),          PROX_ELDERLYCARE = c(0.93663965535868, 0.923774065318005,          0.929205058584809, 0.966138977916587, 1.40411939431899,          1.44816412197145, 0.671766786446111, 1.50921581969441,          0.389463724969334, 0.622451014094897, 0.766085625885291,          0.653175957864657, 1.50338082315219, 1.70531999087377,          0.811417024562957, 0.632846087105322, 0.0965145667339982,          0.090689252710872, 0.254409923718011, 1.77826193055387         ), PROX_HAWKER = c(0.693090021451824, 0.829910539202106,          0.478869651742105, 0.31691894051251, 0.687446499339865,          0.778468578249857, 0.3485650804915, 0.684102697062058,          1.0617726338971, 0.366862032582334, 0.230353911902381,          0.344843972730765, 0.588144724666333, 0.845358517598031,          0.241120378832392, 0.399490681633122, 1.07372228066705,          1.02395142210687, 1.21550185558774, 0.865181709866835         ), PROX_MRT = c(0.189883903502813, 0.127617925270923,          0.0437298005890327, 0.188565130994124, 0.241174931861397,          0.476637705223286, 0.41695674877223, 0.347262283963267,          0.0901878473788138, 0.550628186781769, 0.545901722651448,          0.587916938270161, 0.224566301285939, 0.217341234217998,          0.604690005035212, 0.674936552563307, 0.363746184676816,          0.437229774651496, 0.218405848235923, 0.14195902454703         ), PROX_PARK = c(0.812876767906526, 0.716522496183652,          0.935596264101672, 1.07918529837209, 0.90249149706597,          1.20701221478007, 1.00246315577637, 1.38760566459916,          0.278686390612803, 0.886983007034967, 0.937160160632966,          0.858154923175006, 1.55939681176166, 1.27300714898888,          0.889047622652367, 0.773048101136696, 0.497172938499345,          0.600185611341118, 0.325486875199719, 1.51686048726609         ), PROX_GOOD_PRISCH = c(4.98177209241419, 4.85056771881294,          5.1963266927986, 5.35450137646782, 4.74545729482833,          5.06260566207177, 5.49301939379528, 5.26118802945754,          4.93093863547281, 5.61521578968116, 5.6774973866509,          5.67093979106873, 5.45861643017911, 5.17863906457975,          5.77803713337603, 5.74516136190441, 5.17691715074399,          5.28070608730985, 4.99149337529414, 5.42826997650874),          PROX_MALL = c(0.236735170365795, 0.148456555084967, 0.345992784345898,          0.479398555662368, 0.267645090747045, 0.287395381957405,          0.497662931100388, 0.108121271181015, 0.38830118917563,          0.615054651957031, 0.691703794200818, 0.671424081833306,          0.12145856762689, 0.243284841315127, 0.79347213158724,          0.744876648240093, 0.278400001713995, 0.252669380741675,          0.377416550632833, 0.338911837083335), PROX_CHAS = c(0.214782230853987,          0.148456588323488, 3.77135010377852e-08, 0.166948923507452,          0.241761013919413, 0.182188888557241, 0.139715392485403,          0.108121286081234, 0.0918929757518676, 0.101756162724623,          0.094086780959658, 0.0438337826764906, 0.121458549123021,          0.132339190026647, 0.128222338920945, 0.0812821875339188,          0.190291087196022, 0.252669404800451, 0.0736014920224838,          0.18872293939054), PROX_SUPERMARKET = c(0.172194506074768,          0.154204342539502, 0.31785895032531, 0.218811722485387,          0.315435463566428, 0.277268812686258, 0.118312809115248,          0.105248463653719, 0.354026220875794, 0.215874380558773,          0.189746195069109, 0.238848984717478, 0.134916350552101,          0.226949559622758, 0.286089695736963, 0.325050502595441,          0.190291125096353, 0.186322037460738, 0.128878263549785,          0.188722783027928), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 0L, 1L, 0L, 1L, 1L, 1L,          0L, 1L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(6L, 7L,          5L, 2L, 3L, 3L, 3L, 4L, 5L, 3L, 3L, 3L, 5L, 7L, 3L, 3L,          3L, 3L, 3L, 6L), WITHIN_350M_BUS = c(15L, 17L, 13L, 13L,          15L, 10L, 11L, 10L, 7L, 11L, 11L, 10L, 11L, 9L, 10L,          12L, 9L, 7L, 9L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 5L,          5L, 5L, 5L, 4L, 5L, 2L, 3L, 4L, 3L, 5L, 5L, 4L, 3L, 3L,          3L, 3L, 4L), DNeighbour = c(0, 141.034500934734, 217.422014680596,          376.377205308342, 488.969874372983, 531.874377226998,          556.038599861048, 645.52504915188, 647.926694789883,          693.804687900806, 711.894137269102, 738.148171394486,          758.403763681622, 804.048833495269, 806.955285425899,          823.048649547301, 851.518614200027, 871.382902967547,          877.477681033029, 954.627380199439)), row.names = c("717",      "146", "374", "385", "599", "703", "159", "381", "592", "500",      "836", "865", "826", "880", "568", "299", "995", "87", "986",      "329"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.956823508238366,      0.898945285353284, 0.713271880668607, 0.544113829573823,      0.475519915584999, 0.436567590672801, 0.294572177489249,      0.290883664640564, 0.222585725991189, 0.197035654755317,      0.161694628962725, 0.13604967956295, 0.084442763207549, 0.0814830696393805,      0.065878101020767, 0.0417600814757399, 0.0278215776018668,      0.0240565684240193, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5653269741 
R squared (OOB):                  0.1017766 

$Forests[[718]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(368000, 395000, 335000,      388000, 370000, 408000, 385000, 398000, 360000, 375000, 369000,      325000, 4e+05, 335000, 340000, 390000, 328000, 361000, 325000,      360000), floor_area_sqm = c(100, 101, 93, 100, 98, 100, 101,      100, 104, 90, 94, 85, 103, 84, 104, 101, 84, 84, 84, 103),          storey_order = c(2L, 4L, 5L, 4L, 2L, 4L, 3L, 2L, 2L,          5L, 5L, 1L, 3L, 2L, 1L, 4L, 4L, 4L, 5L, 1L), remaining_lease_mths = c(923,          936, 921, 922, 912, 921, 952, 924, 804, 946, 942, 830,          796, 796, 869, 932, 806, 794, 812, 798), PROX_CBD = c(10.5911430304609,          10.5347600839054, 10.6321305837804, 10.3133134299625,          10.6430674352334, 10.7481925626994, 10.5394819073022,          10.2027088676681, 10.0879656312395, 10.5038890156487,          10.5038890156487, 10.1989356004427, 10.2571858212528,          10.2571858212528, 10.9782438935663, 10.247812625002,          10.2439629519707, 10.1908965186918, 9.87023127008802,          10.1540744969693), PROX_ELDERLYCARE = c(1.2745451415541,          1.31633228018286, 1.32435226249417, 1.4124150938613,          1.10983952182968, 1.00181077128688, 1.55101586165687,          1.63738856945076, 1.31022889057949, 1.64894906385774,          1.64894906385774, 1.08623091115154, 0.969336561855173,          0.969336561855173, 0.748731634955849, 1.89270432318243,          0.904720646157319, 0.891997547710976, 1.35138892750767,          0.85844301108046), PROX_HAWKER = c(0.314632743063994,          0.259744380023822, 0.382898898882956, 0.0623262564011618,          0.494234864614673, 0.591883114810231, 0.463304434183495,          0.264427923442986, 0.196699811405185, 0.53455823354733,          0.53455823354733, 0.368744432216956, 0.543600998034675,          0.543600998034675, 0.421987441153261, 0.561647681218514,          0.616195579705155, 0.594526114354717, 0.410023469086153,          0.614574465644474), PROX_MRT = c(1.14211364891441, 1.15842683571226,          1.20430491709432, 1.09471398918577, 0.91242151857363,          0.80807654444201, 1.31136747445593, 1.392302848886, 1.09046737609619,          1.36742764633517, 1.36742764633517, 0.78040997284139,          0.5984056038899, 0.5984056038899, 0.516121726350597,          1.63637339364314, 0.52596302633555, 0.554399001312584,          1.23646610314009, 0.544743966599557), PROX_PARK = c(0.997953552798557,          1.00657829367171, 0.852996238213812, 0.826294351272671,          1.09293299728603, 1.13130385684233, 0.594979546415276,          0.728383914708498, 0.604882226694947, 0.486479545769779,          0.486479545769779, 0.808282577864154, 0.690393008756984,          0.690393008756984, 1.01560706627581, 0.443665461164749,          0.626908579085899, 0.61263038213259, 0.375073916060521,          0.578916018382343), PROX_GOOD_PRISCH = c(1.15731102426836,          1.12709017589061, 1.09467860924251, 0.993301788551023,          1.4206810513637, 1.51127824976447, 0.89296386953394,          0.689163418131917, 0.87937610392538, 0.819356328881161,          0.819356328881161, 1.199846441039, 1.38840710840139,          1.38840710840139, 1.81228643023267, 0.550324531917386,          1.44855804010835, 1.40421671412888, 0.706117631385061,          1.40445923276907), PROX_MALL = c(0.441630162720786, 0.464767570965945,          0.512358501951296, 0.450275200033962, 0.220538248250442,          0.114469773448463, 0.357726596913911, 0.12742430838485,          0.441232897113797, 0.3366209001709, 0.3366209001709,          0.663851500718272, 0.638527944164543, 0.638527944164543,          0.231229629812008, 0.190941194230935, 0.644656189163291,          0.685823836221668, 0.445899708163642, 0.685950169481642         ), PROX_CHAS = c(0.327465416824022, 0.272565000598528,          0.394471723674887, 0.071192987667569, 0.0703959269798554,          0.0793642323922721, 0.263233285458842, 0.127424254451578,          0.177420148260447, 0.232134688144963, 0.232134688144963,          0.0710453772718398, 0.0819899420632749, 0.0819899420632749,          0.23122963873357, 0.190941257524933, 0.155315138624813,          0.151788880767358, 0.0764125853219005, 0.170954716034814         ), PROX_SUPERMARKET = c(0.441631117888638, 0.464768447350912,          0.447614574279886, 0.330151298165832, 0.220538485726081,          0.114469867006585, 0.263232243208913, 0.129189539659537,          0.320748009942088, 0.232133828519976, 0.232133828519976,          0.00115080458448496, 0.123486578338512, 0.123486578338512,          0.231228589734032, 0.19229406714866, 0.18505229065347,          0.152401712794372, 0.158655939798418, 0.171715993026927         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 1L, 0L, 1L,          2L, 0L, 0L, 2L, 2L, 0L, 0L, 0L, 2L, 3L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 3L, 4L, 2L, 4L,          6L, 6L, 5L, 5L, 5L, 4L, 2L, 2L, 5L, 10L, 1L, 2L, 5L,          2L), WITHIN_350M_BUS = c(13L, 15L, 12L, 15L, 13L, 10L,          15L, 13L, 11L, 11L, 11L, 12L, 10L, 10L, 9L, 10L, 10L,          12L, 8L, 14L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          6L, 6L, 4L, 4L, 5L, 4L, 4L, 4L, 5L, 5L, 5L, 4L, 6L, 6L,          5L, 5L), DNeighbour = c(0, 60.1539858774773, 167.711909119338,          276.323568769269, 321.921177138259, 380.739754056463,          407.337385046284, 473.363013879337, 501.104277246861,          514.782092294346, 518.401482467204, 525.537083151808,          632.841548760756, 633.309084408134, 668.245900476717,          677.954902855922, 702.09540130106, 708.369614353003,          722.036632017332, 738.471702019045)), row.names = c("718",      "577", "975", "513", "627", "866", "769", "771", "292", "942",      "734", "967", "494", "591", "317", "667", "668", "447", "755",      "560"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.986773410819465,      0.899505283170643, 0.73957776135662, 0.656044872663025, 0.539019301316016,      0.484058080832073, 0.34705576984405, 0.291107307901434, 0.264261714349299,      0.257258683516844, 0.243588792398615, 0.0705527153614727,      0.0699772344497179, 0.0328149556525896, 0.0247061240714902,      0.00923354812795781, 0.00637822161210408, 0.00193738424474254,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       581225406 
R squared (OOB):                  0.2006744 

$Forests[[719]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(405000, 355000, 340000,      330000, 408000, 389000, 418888, 335000, 373000, 376000, 330000,      390000, 325000, 398000, 485000, 455000, 375000, 369000, 385000,      360000), floor_area_sqm = c(102, 91, 91, 91, 100, 103, 100,      84, 103, 101, 84, 101, 84, 100, 93, 93, 90, 94, 101, 104),          storey_order = c(3L, 3L, 1L, 4L, 5L, 2L, 2L, 2L, 1L,          2L, 4L, 4L, 5L, 2L, 7L, 3L, 5L, 5L, 3L, 2L), remaining_lease_mths = c(928,          763, 786, 777, 916, 863, 932, 791, 870, 948, 806, 932,          812, 924, 1137, 1139, 946, 942, 952, 804), PROX_CBD = c(9.51108523911647,          9.41668106440496, 9.37335060635629, 9.37335060635629,          9.71665400465424, 9.90721965789512, 9.64941173000682,          9.13853516155078, 9.95029435977204, 10.1515839247586,          9.63621863936401, 10.247812625002, 9.87023127008802,          10.2027088676681, 10.5587309121129, 10.5974154418399,          10.5038890156487, 10.5038890156487, 10.5394819073022,          10.0879656312395), PROX_ELDERLYCARE = c(1.80905665624389,          1.6892356184521, 1.66235796621519, 1.66235796621519,          1.86385802759073, 2.17440400131014, 1.9510043332774,          1.86142420062345, 2.09611483432966, 1.93850967877536,          1.48805339077067, 1.89270432318243, 1.35138892750767,          1.63738856945076, 1.80931542236799, 1.80859644276987,          1.64894906385774, 1.64894906385774, 1.55101586165687,          1.31022889057949), PROX_HAWKER = c(0.978663880778012,          0.864780296064508, 0.823170476035045, 0.823170476035045,          1.14805608329678, 1.08766938871094, 0.940071074791988,          0.823671555860494, 0.876506442172381, 0.608980172673109,          0.677896697868769, 0.561647681218514, 0.410023469086153,          0.264427923442986, 0.792644050178693, 0.832920293493618,          0.53455823354733, 0.53455823354733, 0.463304434183495,          0.196699811405185), PROX_MRT = c(1.99882067476962, 2.02952953118228,          2.01327082024864, 2.01327082024864, 2.10187463598542,          1.9078610258369, 1.69853939108909, 1.58022074581844,          1.8917195123599, 1.73271025710532, 1.32502198166586,          1.63637339364314, 1.23646610314009, 1.392302848886, 1.33157685526365,          1.28588132880872, 1.36742764633517, 1.36742764633517,          1.31136747445593, 1.09046737609619), PROX_PARK = c(0.674672834209049,          0.564264159971047, 0.548771819269344, 0.548771819269344,          0.706984478917025, 0.551504280527303, 0.624691995850973,          0.533109662164166, 0.516721166595223, 0.464183104254495,          0.202594030185392, 0.443665461164749, 0.375073916060521,          0.728383914708498, 0.251058120460841, 0.248039629274522,          0.486479545769779, 0.486479545769779, 0.594979546415276,          0.604882226694947), PROX_GOOD_PRISCH = c(0.439174603441127,          0.555662252109323, 0.581790960048334, 0.581790960048334,          0.494123442243702, 0.299143542468678, 0.107363170703005,          0.605615063995802, 0.213708578130609, 0.447003801568155,          0.53169554186008, 0.550324531917386, 0.706117631385061,          0.689163418131917, 0.819366619188368, 0.856849085387122,          0.819356328881161, 0.819356328881161, 0.89296386953394,          0.87937610392538), PROX_MALL = c(0.994410311642026, 0.873946799305891,          0.835862391091354, 0.835862391091354, 1.00609620967541,          0.701652802220213, 0.625847194134012, 0.925377142856182,          0.493813340134231, 0.217974225134877, 0.564979440463645,          0.190941194230935, 0.445899708163642, 0.12742430838485,          0.516143411126369, 0.562952549426665, 0.3366209001709,          0.3366209001709, 0.357726596913911, 0.441232897113797         ), PROX_CHAS = c(0.21913048386411, 0.248119447519373,          0.240374554675797, 0.240374554675797, 0.0862664572880411,          0.242250716663617, 0.134178633248207, 0.179557542480515,          0.36937911638564, 0.217974279370684, 0.204909081807225,          0.190941257524933, 0.0764125853219005, 0.127424254451578,          0.236682264577822, 0.235419924819913, 0.232134688144963,          0.232134688144963, 0.263233285458842, 0.177420148260447         ), PROX_SUPERMARKET = c(0.21913043091083, 0.315469124538892,          0.322141005481158, 0.322141005481158, 0.0862669641327853,          0.157554225694085, 0.344381560072065, 0.223142170833011,          0.359694409353041, 0.216455869736569, 0.145410708854306,          0.19229406714866, 0.158655939798418, 0.129189539659537,          0.236682533577294, 0.23542039277371, 0.232133828519976,          0.232133828519976, 0.263232243208913, 0.320748009942088         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 0L, 0L, 1L, 2L,          3L, 2L, 2L, 1L, 1L, 3L, 1L, 0L, 2L, 2L, 2L, 2L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 2L, 2L, 2L, 8L, 6L,          3L, 3L, 7L, 9L, 3L, 10L, 5L, 6L, 7L, 7L, 5L, 5L, 6L,          5L), WITHIN_350M_BUS = c(7L, 6L, 5L, 5L, 8L, 10L, 8L,          11L, 12L, 10L, 7L, 10L, 8L, 13L, 10L, 10L, 11L, 11L,          15L, 11L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L,          2L, 3L, 2L, 3L, 4L, 3L, 4L, 5L, 4L, 3L, 3L, 4L, 4L, 4L,          5L), DNeighbour = c(0, 122.565736117395, 155.321495046168,          156.228481998478, 225.596390490603, 415.869519143132,          453.339835579823, 482.580311049351, 551.48337805066,          853.234217301404, 904.434147143724, 949.380095213913,          1130.98444435908, 1131.00064792394, 1137.49708648566,          1165.72630756791, 1206.01710308016, 1206.65368819999,          1293.89830745669, 1321.00757190291)), row.names = c("719",      "725", "737", "334", "879", "629", "459", "485", "780", "366",      "189", "667", "755", "771", "614", "360", "942", "734", "769",      "292"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.982857103990433,      0.972541923573797, 0.972222573769528, 0.942521679636961,      0.811608511405878, 0.778328587910553, 0.750903573793705,      0.681809085405943, 0.33967642744303, 0.282224260757022, 0.233773050120568,      0.0712901944404497, 0.0712789789696352, 0.0668409495999862,      0.0489638446901996, 0.0277281839537282, 0.0274358458666145,      0.00165016116941218, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1184065572 
R squared (OOB):                  0.3179986 

$Forests[[720]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 385000, 450000,      330000, 418000, 345000, 455000, 410000, 425000, 465000, 4e+05,      435000, 410000, 420000, 398000, 373000, 4e+05, 338000, 330000,      3e+05), floor_area_sqm = c(91, 90, 93, 105, 112, 95, 106,      93, 93, 106, 90, 92, 92, 92, 92, 92, 92, 103, 104, 85), storey_order = c(4L,      3L, 4L, 1L, 5L, 3L, 4L, 4L, 4L, 2L, 3L, 4L, 3L, 5L, 2L, 1L,      1L, 4L, 3L, 2L), remaining_lease_mths = c(1061, 1060, 950,      896, 904, 1003, 933, 1117, 1126, 933, 953, 1129, 1131, 1134,      1136, 1128, 1127, 836, 847, 979), PROX_CBD = c(17.5974072281911,      17.6242343596777, 17.4336546583772, 17.9794873864528, 17.2048826778539,      17.7047470513727, 17.1634204962367, 17.3263676504413, 17.3263676504413,      17.1401277939721, 17.5759295796121, 17.2397585888566, 17.2397585888566,      17.2397585888566, 17.26435404508, 17.1731083577317, 17.1731083577317,      18.1853470145009, 18.238428451998, 18.0119212314593), PROX_ELDERLYCARE = c(0.819477307137174,      0.892136309268664, 0.825709875044437, 1.20397588034421, 0.400468425457175,      0.933045885854195, 0.565792923614884, 0.561119780492452,      0.561119780492452, 0.586863575497558, 1.07156662032258, 0.500148198332671,      0.500148198332671, 0.500148198332671, 0.542806768712765,      0.456899326246073, 0.456899326246073, 1.46334015610348, 1.49823830734066,      1.25793892145158), PROX_HAWKER = c(0.922900854400271, 0.816419857336687,      0.841716009165303, 0.736691454978467, 0.498365875295267,      1.00938993481846, 0.666841975849823, 0.631285601786086, 0.631285601786086,      0.685044657792881, 0.622851592932912, 0.55990768529081, 0.55990768529081,      0.55990768529081, 0.598096651463893, 0.507233229895407, 0.507233229895407,      0.490406092071559, 0.548143788898404, 1.33204585660377),          PROX_MRT = c(0.830609903675807, 0.729175757939742, 0.463093751675267,          1.05284557964442, 0.87869292375624, 1.29287496569192,          0.463116738810145, 1.13344401626098, 1.13344401626098,          0.418422993771755, 0.449846795062068, 1.16124452414741,          1.16124452414741, 1.16124452414741, 1.20599959693509,          1.18009183772516, 1.18009183772516, 0.888080533877704,          0.950317003394984, 1.54554013822754), PROX_PARK = c(0.751240825934154,          0.830497330619545, 0.609424449579261, 0.555889077383573,          0.9054780070858, 0.495314460898113, 0.505224516024672,          0.872985599051717, 0.872985599051717, 0.454841043819919,          0.650211227804106, 0.959994438388966, 0.959994438388966,          0.959994438388966, 0.937816003807321, 1.02763138312455,          1.02763138312455, 0.741201414908801, 0.690805332809177,          0.23250554954982), PROX_GOOD_PRISCH = c(6.95474206477502,          6.97273607492461, 6.77374769998522, 7.33264137396139,          6.57740517739392, 7.10206992983331, 6.50789265243056,          6.72174636420399, 6.72174636420399, 6.48254224033906,          6.90999703096039, 6.64012383316355, 6.64012383316355,          6.64012383316355, 6.66937916554136, 6.57664814247058,          6.57664814247058, 7.52724739525134, 7.58243576478886,          7.41905192895776), PROX_MALL = c(0.757845794253982, 0.671391539314818,          0.404491618549369, 0.387548928263219, 0.446026044391999,          0.790613232916467, 0.353588302636786, 0.530342726071102,          0.530342726071102, 0.306862579253759, 0.456006423255308,          0.450738515511335, 0.450738515511335, 0.450738515511335,          0.484724019608978, 0.392080122681935, 0.392080122681935,          0.362005799982455, 0.291730094824992, 0.658794213245526         ), PROX_CHAS = c(0.175468897673469, 0.0497500971788425,          0.260153188296123, 0.324283073315245, 0.130380344727655,          0.40646651865696, 0.171584438209325, 0.254413742194056,          0.254413742194056, 0.133156315003352, 0.401255348981324,          0.221318263528924, 0.221318263528924, 0.221318263528924,          0.270084445320348, 0.214971829128206, 0.214971829128206,          0.11010335009361, 0.0811018368302058, 0.166262674114357         ), PROX_SUPERMARKET = c(0.336744227428862, 0.442456788826315,          0.355873580059747, 0.337417678694655, 0.445962312606475,          0.260900811674997, 0.320581809168482, 0.529573977763673,          0.529573977763673, 0.27639551573194, 0.338457664260807,          0.449846933875903, 0.449846933875903, 0.449846933875903,          0.483753219919624, 0.391090025360665, 0.391090025360665,          0.36017462873485, 0.289827711639516, 0.385510043100507         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 1L, 2L, 3L, 0L,          1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 7L, 4L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 4L, 3L, 2L, 2L,          4L, 3L, 3L, 3L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(6L, 12L, 12L, 9L, 8L, 6L, 8L,          5L, 5L, 7L, 8L, 6L, 6L, 6L, 6L, 8L, 8L, 11L, 10L, 9L),          WITHIN_1KM_PRISCH = c(4L, 4L, 6L, 5L, 3L, 3L, 4L, 3L,          3L, 4L, 4L, 3L, 3L, 3L, 3L, 2L, 2L, 5L, 4L, 4L), DNeighbour = c(0,          144.901071086008, 372.020692747765, 385.721302144831,          428.275528206348, 481.513359522268, 497.466660784115,          500.765721877919, 503.22106787842, 532.539363426377,          549.734346611865, 584.214555842779, 588.070432356134,          588.549483790644, 606.004590624583, 646.143659273506,          646.791149456544, 650.781647615261, 685.57058481225,          717.887285843092)), row.names = c("720", "300", "535",      "870", "889", "631", "991", "797", "925", "530", "357", "290",      "86", "280", "847", "985", "507", "857", "839", "228"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.920178012094855, 0.535022256003138, 0.505959093978442,      0.414858468451356, 0.302623498335156, 0.270199762634307,      0.263597325403815, 0.258708541185309, 0.202239898721684,      0.171065788144448, 0.11406449827886, 0.108216963178059, 0.107498572110256,      0.0826049032744087, 0.0360570382788546, 0.0354427662915545,      0.0317606801581084, 0.00774511293068171, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1342124729 
R squared (OOB):                  0.3669349 

$Forests[[721]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 440000, 388000,      380000, 370000, 347000, 365000, 370000, 315000, 446000, 340000,      390000, 420000, 420000, 308000, 355000, 415000, 330000, 365000,      360000), floor_area_sqm = c(92, 103, 103, 102, 98, 103, 103,      104, 84, 107, 104, 104, 90, 99, 84, 103, 100, 103, 107, 103     ), storey_order = c(2L, 2L, 3L, 2L, 2L, 3L, 4L, 2L, 3L, 3L,      1L, 1L, 2L, 3L, 1L, 3L, 1L, 2L, 1L, 1L), remaining_lease_mths = c(938,      918, 935, 938, 767, 777, 768, 763, 788, 783, 772, 763, 925,      929, 795, 793, 944, 800, 766, 777), PROX_CBD = c(12.0748651503812,      12.1964782349865, 12.2384019056968, 12.4172252614445, 12.6407298816561,      12.4516179583977, 12.6612960596841, 13.075732494377, 13.0463978034086,      13.1163383572019, 13.1145091682395, 13.1145091682395, 12.960867808991,      13.2222340992065, 13.3304860768802, 13.46147060752, 13.1525533734461,      13.46147060752, 13.578535689825, 13.7231688188033), PROX_ELDERLYCARE = c(0.485644504612505,      0.395535007521183, 0.481492260541915, 0.466477120293287,      0.198383641986835, 0.517665393733001, 0.349885373003571,      0.206309775801723, 0.612412426395362, 0.258125844069092,      0.233566729538939, 0.233566729538939, 0.579007844644764,      0.385934705647939, 0.85382998667073, 1.01995663096129, 0.640770029240432,      1.01995663096129, 0.535215785060316, 0.681177733621966),          PROX_HAWKER = c(1.97379568283644, 2.11269605893479, 2.08679181031876,          1.89270186421095, 1.70233840124208, 1.97187302693261,          1.71720286170745, 1.2806114078583, 1.36023111372333,          1.23349193679857, 1.24018164124527, 1.24018164124527,          1.16344345150942, 1.08380419022874, 1.09459947163448,          1.03983060555389, 0.959649545299011, 1.03983060555389,          0.775756145922257, 0.601426993813282), PROX_MRT = c(1.16171233055988,          1.03396693725809, 1.00400763232319, 0.847625669994717,          0.712674611555213, 1.07246547116041, 0.798149237832703,          0.218393806785847, 0.622051877914657, 0.166998983475289,          0.402767024758649, 0.402767024758649, 0.899387073359532,          0.503688459146237, 0.525688124362732, 0.367668143276235,          0.944408516927639, 0.367668143276235, 0.357978123578611,          0.498221170198522), PROX_PARK = c(0.570565135790359,          0.631382355736929, 0.617440020241687, 0.790049777369869,          0.87239282209614, 0.540079114132334, 0.722272593032778,          1.31516124688894, 0.572775970192077, 1.28385310080255,          1.4917670023494, 1.4917670023494, 1.44660566239193, 1.61082819122054,          0.620743454357064, 0.582693033366388, 1.65277848527316,          0.582693033366388, 1.33984402369384, 1.26781451063295         ), PROX_GOOD_PRISCH = c(2.03318600563725, 2.16851203086393,          2.2532718981807, 2.44639044951476, 2.56532775368338,          2.37408427308534, 2.58047246486208, 3.06740437701091,          2.96540091825049, 3.10133739012884, 3.15473759747012,          3.15473759747012, 2.82458087567675, 3.2388029474634,          3.24954726475941, 3.38131302543864, 2.95137840528657,          3.38131302543864, 3.55013641033528, 3.673854441535),          PROX_MALL = c(1.24268779707958, 1.12036230953297, 1.10261213560447,          0.95273084922996, 0.751522975449472, 1.09246464633101,          0.817237002784756, 0.332903613799786, 0.587476612974174,          0.281310431650798, 0.504156272689578, 0.504156272689578,          0.695129776671669, 0.587950861513872, 0.513372166694422,          0.644549177151603, 0.703422933264244, 0.644549177151603,          0.305514521023982, 0.406890039239853), PROX_CHAS = c(0.0669716337617594,          0.194956542036987, 0.187666753228527, 0.132703338642494,          0.217156748290024, 0.137011223676854, 0.248450831201433,          0.122328851042638, 0.40513819943783, 0.155371621529032,          0.11048408202451, 0.11048408202451, 0.341366062526918,          0.151225190585885, 0.472814153962233, 0.348399033159575,          0.1365287941905, 0.348399033159575, 0.282171570268124,          0.176857487498571), PROX_SUPERMARKET = c(0.301394789473075,          0.242376621204914, 0.388917381074845, 0.453312253927337,          0.217156859083098, 0.417679622168911, 0.326739034058403,          0.193246634773484, 0.599997973636583, 0.141466460051892,          0.362446168440829, 0.362446168440829, 0.668273194253219,          0.459946280432931, 0.510727353781082, 0.356146193343619,          0.688592108834651, 0.356146193343619, 0.281417393052806,          0.270532795629183), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 2L, 1L, 2L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 1L,          1L, 0L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(2L, 4L,          2L, 3L, 4L, 3L, 3L, 4L, 2L, 4L, 6L, 6L, 1L, 5L, 4L, 3L,          2L, 3L, 4L, 4L), WITHIN_350M_BUS = c(9L, 9L, 10L, 9L,          10L, 9L, 12L, 10L, 7L, 9L, 7L, 7L, 2L, 8L, 5L, 6L, 6L,          6L, 10L, 8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L,          3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 2L, 3L, 4L,          3L), DNeighbour = c(0, 147.935870257685, 319.289304314869,          496.894609000652, 624.26726354867, 687.813140804412,          710.289244249801, 1036.21984749464, 1063.13010892757,          1072.71664376897, 1149.91771092853, 1155.60461230398,          1296.19803633872, 1296.38974475788, 1327.21324409747,          1486.19299882077, 1488.58316144075, 1495.08636409971,          1517.75589398621, 1647.98493627483)), row.names = c("721",      "677", "399", "296", "477", "851", "552", "929", "987", "105",      "844", "164", "831", "350", "61", "332", "496", "526", "856",      "960"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.983948443872874,      0.926334576222063, 0.826440655825669, 0.733602015736946,      0.681954707982646, 0.662978558993326, 0.365584455155316,      0.340862403109033, 0.332115956574549, 0.263286248771726,      0.258355251441283, 0.145437355326846, 0.145297804651028,      0.123484065474871, 0.0348616628541545, 0.0338908761681283,      0.0313113919969959, 0.0230437660886617, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1545490581 
R squared (OOB):                  -0.03640182 

$Forests[[722]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 336000, 340000,      325000, 348000, 380000, 416000, 370000, 380000, 360000, 370000,      335000, 362000, 338000, 380000, 303888, 355000, 326000, 315000,      293000), floor_area_sqm = c(91, 90, 90, 90, 95, 93, 93, 93,      93, 93, 93, 90, 94, 94, 93, 90, 94, 101, 87, 86), storey_order = c(1L,      2L, 4L, 4L, 1L, 2L, 6L, 1L, 2L, 2L, 4L, 5L, 4L, 2L, 2L, 5L,      4L, 1L, 5L, 1L), remaining_lease_mths = c(980, 966, 1011,      973, 968, 1132, 1132, 1125, 1136, 1135, 1142, 998, 976, 1076,      1134, 1008, 1070, 942, 1004, 1006), PROX_CBD = c(18.4122801485573,      18.263890012402, 18.5954829873069, 18.5353901232527, 18.0323194354466,      18.1279148711176, 18.2305685201872, 18.2305685201872, 18.1376577985599,      18.1376577985599, 18.1918996486136, 18.976831626196, 18.3273029006797,      18.893500205596, 18.2143914696608, 19.0279685600245, 18.9417612550563,      17.6460086713989, 18.9558501171738, 18.9558501171738), PROX_ELDERLYCARE = c(3.05606256580079,      2.93603771613334, 3.21245115339435, 3.18651864771223, 2.88259030935981,      2.51087611030153, 2.5602844754638, 2.5602844754638, 2.49441526227585,      2.49441526227585, 2.49884668013329, 3.28231449363414, 2.7120525382807,      3.10102691254995, 2.48612553786713, 3.26154359027314, 3.09832013994742,      2.69583292953839, 3.04148171914245, 3.04148171914245), PROX_HAWKER = c(0.284310921582288,      0.135415800319106, 0.468862715548992, 0.491879726860981,      0.459055170630849, 0.487567663506197, 0.555435817196439,      0.555435817196439, 0.528296501129656, 0.528296501129656,      0.600683099416637, 0.923592674397851, 0.729165861663657,      0.926259022488312, 0.65924673205969, 0.990561993667382, 0.981837341088666,      0.543702723258422, 1.03425383708264, 1.03425383708264), PROX_MRT = c(0.34633408104891,      0.269488316579814, 0.485913485771313, 0.375479822529604,      0.228324090957444, 0.74928998522808, 0.810957189319413, 0.810957189319413,      0.789676869843372, 0.789676869843372, 0.859544339931905,      0.822784932057268, 0.470919202147399, 0.777214903782309,      0.88189566435518, 0.880588410111357, 0.831940647091921, 0.514213843772978,      0.87145727172961, 0.87145727172961), PROX_PARK = c(0.872887750975024,      0.826451671225411, 0.966363588730214, 1.15334089580929, 1.25712692932115,      0.317511189836545, 0.269300347674678, 0.269300347674678,      0.276326305891841, 0.276326305891841, 0.210024151789668,      1.4431849310919, 1.51959638840156, 1.53153013283021, 0.161329073171627,      1.5140651316136, 1.58031197441792, 0.873328686748902, 1.64892029001525,      1.64892029001525), PROX_GOOD_PRISCH = c(8.76068312560123,      8.61262144573917, 8.94334048589707, 8.87993213136606, 8.37645219680457,      8.49670627721454, 8.60245346442475, 8.60245346442475, 8.50873818737911,      8.50873818737911, 8.56698720173726, 9.32093903042593, 8.6741083827629,      9.23793284137011, 8.59299650088468, 9.37202430611723, 9.2863930262578,      7.99076792195858, 9.30119351841798, 9.30119351841798), PROX_MALL = c(0.458641270318743,      0.374925429890344, 0.594166870248601, 0.460655941356388,      0.12060760008054, 0.819155488013484, 0.89702383385846, 0.89702383385846,      0.814982856398022, 0.814982856398022, 0.849415447505653,      0.897736377807805, 0.437943127987326, 0.833273819621717,      0.861156548991099, 0.951179576311185, 0.886414086630636,      0.441435937338541, 0.918650450187965, 0.918650450187965),          PROX_CHAS = c(0.182706372800723, 0.0541347282504724,          0.186588167457245, 0.165734202429707, 0.120607657412939,          0.0462043949149095, 0.080524556228062, 0.080524556228062,          0.0547102897319272, 0.0547102897319272, 0.110754204684376,          0.237819060284531, 0.319053536773146, 0.143741090403558,          0.170239874320939, 0.184556275618948, 0.0880613138842689,          0.441435968696221, 0.067384164825537, 0.067384164825537         ), PROX_SUPERMARKET = c(0.182706945219403, 0.0541355525390397,          0.195869762300225, 0.167679568764744, 0.119017844673248,          0.467157902200199, 0.512175097136782, 0.512175097136782,          0.504768063926141, 0.504768063926141, 0.565642852259794,          0.322795161753339, 0.198027823348086, 0.218188374485768,          0.532940464268134, 0.3125742651816, 0.175726554209016,          0.446325988440648, 0.102761308178796, 0.102761308178796         ), WITHIN_350M_KINDERGARTEN = c(2L, 0L, 2L, 2L, 2L, 0L,          0L, 0L, 0L, 0L, 0L, 3L, 0L, 2L, 0L, 2L, 2L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(7L, 5L, 4L, 7L, 4L, 3L,          3L, 3L, 2L, 2L, 2L, 4L, 6L, 4L, 3L, 2L, 4L, 2L, 4L, 4L         ), WITHIN_350M_BUS = c(12L, 11L, 10L, 12L, 14L, 10L,          7L, 7L, 10L, 10L, 6L, 9L, 12L, 8L, 6L, 6L, 8L, 11L, 8L,          8L), WITHIN_1KM_PRISCH = c(5L, 4L, 5L, 5L, 4L, 2L, 2L,          2L, 2L, 2L, 2L, 4L, 5L, 4L, 2L, 4L, 4L, 3L, 4L, 4L),          DNeighbour = c(0, 145.84895495303, 180.389103930139,          288.205000405341, 575.079620316273, 583.955163203894,          598.216081972544, 604.826085259608, 614.817717791343,          624.970148987961, 659.236830246647, 666.016702391956,          689.47810499492, 696.704907021862, 708.656647323793,          736.087294959395, 749.545172471702, 796.494623154538,          806.769260713116, 807.737356734547)), row.names = c("722",      "548", "901", "838", "354", "461", "401", "770", "285", "378",      "600", "915", "873", "745", "790", "570", "932", "456", "52",      "951"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.935855685909399,      0.902738092602592, 0.761587750460031, 0.243155292593265,      0.227854160816475, 0.203853164044341, 0.192995682495977,      0.176933628443215, 0.16107604238288, 0.11148597988707, 0.102479182151257,      0.0736475298157522, 0.0655496261162597, 0.0530300035843685,      0.0287440795262247, 0.0192922759400325, 0.000764183229065319,      5.73899510085245e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       537125441 
R squared (OOB):                  0.4129554 

$Forests[[723]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(589000, 498000, 532000,      550000, 550000, 520000, 510000, 535000, 545000, 495000, 455000,      490000, 398000, 437000, 415000, 455000, 395000, 460000, 4e+05,      525000), floor_area_sqm = c(96, 93, 96, 95, 98, 93, 97, 93,      93, 93, 92, 95, 93, 93, 93, 93, 90, 92, 92, 97), storey_order = c(6L,      2L, 4L, 4L, 4L, 4L, 2L, 4L, 5L, 5L, 4L, 2L, 1L, 2L, 2L, 5L,      1L, 2L, 1L, 3L), remaining_lease_mths = c(1111, 1102, 1111,      1115, 1103, 1118, 1104, 1118, 1127, 1080, 1133, 1111, 1077,      1076, 1071, 1138, 997, 1137, 1131, 1098), PROX_CBD = c(13.8838492138892,      13.8269911518463, 13.8842234613226, 13.9206851659757, 13.7784857598507,      13.7912064237251, 13.7787547800329, 13.8964286142315, 13.8964286142315,      14.2035293519974, 13.5263069451707, 13.7780295697528, 14.2040057462849,      14.2040057462849, 14.2040057462849, 13.5153222954464, 13.4480864429089,      13.9481332653994, 13.9748767742628, 14.3488328635023), PROX_ELDERLYCARE = c(0.321249151015697,      0.272443342502121, 0.284905700992106, 0.410984632703067,      0.303554199654945, 0.194902312085005, 0.357313426679343,      0.28821019895416, 0.28821019895416, 0.685279068417721, 0.13293861465481,      0.24280876806526, 0.732225931930739, 0.732225931930739, 0.732225931930739,      0.128038783583345, 0.38095926022983, 0.108372417523696, 0.0869602171534455,      0.805205193908325), PROX_HAWKER = c(0.661984274687099, 0.718894335359525,      0.667389882084889, 0.63246529422046, 0.771130061467184, 0.761066408094757,      0.779750574682814, 0.700607063348248, 0.700607063348248,      0.384064154962602, 1.0232116664491, 0.855348356505915, 0.429643877236979,      0.429643877236979, 0.429643877236979, 1.06471945671836, 1.11021170000921,      0.783686601130967, 0.759405218095962, 0.28631929470226),          PROX_MRT = c(0.202599849124069, 0.250191496834268, 0.172676244118343,          0.247793554682504, 0.334453451125385, 0.263976344610204,          0.373119808041594, 0.214342865325431, 0.214342865325431,          0.289240493397468, 0.529059791722705, 0.290902656750774,          0.339881548667158, 0.339881548667158, 0.339881548667158,          0.531733722241289, 0.436627689790507, 0.146013494832411,          0.16215489673441, 0.320519516131068), PROX_PARK = c(0.953674473627188,          1.00953333913803, 0.946790994443363, 0.9355470513087,          1.07038952907209, 1.03946212768551, 1.07510958061046,          0.945155408432775, 0.945155408432775, 0.69423802629866,          1.00320858387115, 1.08412864631293, 0.735378016798131,          0.735378016798131, 0.735378016798131, 1.12627074536918,          0.782217598170287, 0.964943529987853, 0.93793434477989,          0.585388118838944), PROX_GOOD_PRISCH = c(4.48950135049007,          4.43409233459216, 4.46427355245829, 4.55661004860153,          4.41640053984819, 4.37243865161908, 4.43794264479214,          4.42474408393319, 4.42474408393319, 4.84858590291698,          4.12550653324601, 4.27934963146811, 4.87692111553996,          4.87692111553996, 4.87692111553996, 4.05859518452173,          4.1394886986689, 4.41058426346667, 4.4381077472328, 4.99658730632735         ), PROX_MALL = c(0.415387276861254, 0.464449368072494,          0.384398044205003, 0.441605558767423, 0.546157830895501,          0.47180896375681, 0.579723774298741, 0.36232957329041,          0.36232957329041, 0.37351280301214, 0.734460127270614,          0.507308338763366, 0.458083927679449, 0.458083927679449,          0.458083927679449, 0.741140095950697, 0.747053206605742,          0.431747484707969, 0.408666125180857, 0.415696526053807         ), PROX_CHAS = c(0.130388475133542, 0.093713435160417,          0.0936868185767241, 0.230184731543739, 0.171232412843018,          3.14247486029477e-08, 0.2330532561781, 0.190952462752685,          0.190952462752685, 0.170907589664044, 0.164485608616764,          0.246000912873009, 0.0920652608940773, 0.0920652608940773,          0.0920652608940773, 0.0484693686848179, 0.419877338676521,          0.0812590805558053, 0.0955424375353944, 0.232702657922268         ), PROX_SUPERMARKET = c(0.130388583033251, 0.0937132175773042,          0.093687407280864, 0.23018467784701, 0.171231859107883,          8.52808058992138e-07, 0.233052713938452, 0.190953240917096,          0.190953240917096, 0.170908382081647, 0.265115106421715,          0.271122867675942, 0.0920659899308881, 0.0920659899308881,          0.0920659899308881, 0.321659607097496, 0.428569074432488,          0.194128300134642, 0.205979542456043, 0.232703172737007         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 1L,          0L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 5L, 3L, 4L, 5L, 4L,          4L, 4L, 4L, 5L, 5L, 4L, 5L, 5L, 5L, 4L, 5L, 3L, 4L, 6L         ), WITHIN_350M_BUS = c(9L, 8L, 7L, 13L, 7L, 8L, 11L,          9L, 9L, 9L, 2L, 9L, 9L, 9L, 9L, 6L, 4L, 7L, 6L, 9L),          WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 6L, 5L, 8L, 5L,          5L, 5L, 6L, 6L, 5L, 5L, 5L, 5L, 7L, 4L, 4L, 6L), DNeighbour = c(0,          52.8008866862409, 82.3828420031367, 108.236893679684,          130.099210816543, 133.606253025283, 176.914439758622,          256.603544186792, 258.585154127289, 365.380583600691,          372.801293180019, 384.274032798989, 408.174478917847,          409.51889212266, 412.004414400406, 450.315757091539,          465.097840324148, 495.574167110845, 500.275735003129,          508.934402411763)), row.names = c("723", "376", "670",      "516", "837", "420", "549", "760", "442", "66", "779", "282",      "448", "911", "272", "183", "655", "34", "690", "363"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.978588593119164, 0.948280725835405, 0.911585666545342,      0.873576215748415, 0.86691449289989, 0.772926107641892, 0.556194820291723,      0.550331343655861, 0.23481082234711, 0.214761850692198, 0.184805638078477,      0.127282946739357, 0.124272549845103, 0.118776531711894,      0.0471289842913142, 0.0271751784797146, 0.00268465368690561,      0.00113819871106949, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2767686779 
R squared (OOB):                  0.1744241 

$Forests[[724]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(358000, 441000, 365000,      456500, 380000, 360000, 395000, 425000, 420000, 436000, 440000,      435000, 420000, 450000, 440000, 418000, 460000, 415000, 420000,      438000), floor_area_sqm = c(93, 93, 94, 92, 94, 94, 94, 94,      94, 92, 92, 92, 92, 94, 96, 92, 92, 92, 92, 94), storey_order = c(1L,      6L, 1L, 8L, 1L, 1L, 4L, 6L, 7L, 7L, 8L, 2L, 5L, 7L, 7L, 6L,      7L, 8L, 6L, 5L), remaining_lease_mths = c(1103, 1097, 1095,      1144, 1107, 1096, 1113, 1119, 1120, 1139, 1142, 1128, 1132,      1119, 1108, 1129, 1125, 1140, 1142, 1076), PROX_CBD = c(11.8075546541859,      11.8078122246038, 11.7965908296893, 11.9527102757424, 11.6781560559471,      11.6781560559471, 11.9744040829633, 11.9828723130509, 12.0119641769274,      12.042332185553, 12.042332185553, 12.042332185553, 12.042332185553,      12.0119641769274, 11.6053344020152, 12.02897658153, 12.02897658153,      12.02897658153, 12.02897658153, 11.9414743986494), PROX_ELDERLYCARE = c(0.922118515238085,      0.95260617550949, 1.00802268588986, 0.819362766143575, 1.09658820367145,      1.09658820367145, 0.738781707341689, 0.710325725805382, 0.673044116243487,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.673044116243487, 1.04503450829128, 0.841755023464642,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.687500817542951), PROX_HAWKER = c(0.209140712961875, 0.262687630178652,      0.337854809554552, 0.27814297307049, 0.34952328079698, 0.34952328079698,      0.217370340361849, 0.20448046373977, 0.222580914455278, 0.369655971945997,      0.369655971945997, 0.369655971945997, 0.369655971945997,      0.222580914455278, 0.210992660312359, 0.409616357379742,      0.409616357379742, 0.409616357379742, 0.409616357379742,      0.147098227142532), PROX_MRT = c(0.120215557602138, 0.173777829752023,      0.249549573241666, 0.200702114351669, 0.274140861026222,      0.274140861026222, 0.167322140356011, 0.170867756883987,      0.201095784108649, 0.298263347673859, 0.298263347673859,      0.298263347673859, 0.298263347673859, 0.201095784108649,      0.206803096961617, 0.331072457322778, 0.331072457322778,      0.331072457322778, 0.331072457322778, 0.183575431830776),          PROX_PARK = c(0.747098338531098, 0.746013140888617, 0.739061594864021,          0.643017670933737, 0.620391651843957, 0.620391651843957,          0.679906922269617, 0.697136724289492, 0.691047645736797,          0.542226246468638, 0.542226246468638, 0.542226246468638,          0.542226246468638, 0.691047645736797, 0.554363925008431,          0.529446955515876, 0.529446955515876, 0.529446955515876,          0.529446955515876, 0.807374064658721), PROX_GOOD_PRISCH = c(2.12338877581429,          2.13533890725473, 2.14271827973834, 2.270018309959, 2.02616945457316,          2.02616945457316, 2.27223739349538, 2.27447890050516,          2.29976812492723, 2.36724315061599, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.29976812492723,          1.90056431650247, 2.36775586018775, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.21615815400514),          PROX_MALL = c(0.119447773727589, 0.17025857997445, 0.241737870027575,          0.232344363503357, 0.244599870232268, 0.244599870232268,          0.214069216816763, 0.220402811054307, 0.251262654177611,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.332547569579886, 0.251262654177611, 0.158081786709397,          0.358721564938295, 0.358721564938295, 0.358721564938295,          0.358721564938295, 0.22663965361209), PROX_CHAS = c(0.11944771257822,          0.170258520163124, 0.101692541492014, 0.146038815472653,          0.163903281406512, 0.163903281406512, 0.0939357367291076,          0.0995919009989899, 0.131248018016709, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.131248018016709, 0.158081821824728, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.25157977989641,          0.156140837156126), PROX_SUPERMARKET = c(0.119571834445138,          0.168966076328732, 0.17897337633635, 0.237998550380205,          0.19333058996533, 0.19333058996533, 0.22318738818849,          0.230351837454113, 0.261515416493987, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.261515416493987, 0.148884454693003, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.314501000490003,          0.236998053946951), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          3L, 5L, 2L, 2L, 7L, 6L, 6L, 4L, 4L, 4L, 4L, 6L, 4L, 4L,          4L, 4L, 4L, 6L), WITHIN_350M_BUS = c(10L, 11L, 9L, 12L,          9L, 9L, 10L, 7L, 6L, 10L, 10L, 10L, 10L, 6L, 8L, 11L,          11L, 11L, 11L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L), DNeighbour = c(0, 60.0444847768023, 131.062225848499,          137.605533876042, 177.214631668292, 181.499567644183,          182.73477423444, 205.502112702129, 237.102433917249,          237.246582468837, 238.415554866183, 241.064738482014,          243.04492853542, 244.340095138568, 246.092010907216,          248.960010545473, 252.913945921547, 254.517775748287,          256.656875980313, 274.549120918256)), row.names = c("724",      "439", "41", "749", "644", "954", "858", "203", "167", "573",      "16", "908", "634", "947", "158", "700", "874", "287", "318",      "781"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.906626503063062,      0.596162201942807, 0.560691002549732, 0.340311043872206,      0.31693541975948, 0.310250635380682, 0.193368033770912, 0.064609319649718,      0.0641489887715964, 0.060466709827544, 0.0524630483997999,      0.0467988327838683, 0.0432456570195327, 0.0386347678015406,      0.0315848390344943, 0.0229205326484507, 0.0197679292023666,      0.0158992038738306, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1003015707 
R squared (OOB):                  -0.02522326 

$Forests[[725]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 340000, 330000,      405000, 408000, 335000, 389000, 418888, 373000, 376000, 330000,      390000, 325000, 398000, 485000, 455000, 375000, 369000, 350000,      385000), floor_area_sqm = c(91, 91, 91, 102, 100, 84, 103,      100, 103, 101, 84, 101, 84, 100, 93, 93, 90, 94, 92, 101),          storey_order = c(3L, 1L, 4L, 3L, 5L, 2L, 2L, 2L, 1L,          2L, 4L, 4L, 5L, 2L, 7L, 3L, 5L, 5L, 1L, 3L), remaining_lease_mths = c(763,          786, 777, 928, 916, 791, 863, 932, 870, 948, 806, 932,          812, 924, 1137, 1139, 946, 942, 714, 952), PROX_CBD = c(9.41668106440496,          9.37335060635629, 9.37335060635629, 9.51108523911647,          9.71665400465424, 9.13853516155078, 9.90721965789512,          9.64941173000682, 9.95029435977204, 10.1515839247586,          9.63621863936401, 10.247812625002, 9.87023127008802,          10.2027088676681, 10.5587309121129, 10.5974154418399,          10.5038890156487, 10.5038890156487, 9.56457497404925,          10.5394819073022), PROX_ELDERLYCARE = c(1.6892356184521,          1.66235796621519, 1.66235796621519, 1.80905665624389,          1.86385802759073, 1.86142420062345, 2.17440400131014,          1.9510043332774, 2.09611483432966, 1.93850967877536,          1.48805339077067, 1.89270432318243, 1.35138892750767,          1.63738856945076, 1.80931542236799, 1.80859644276987,          1.64894906385774, 1.64894906385774, 1.08567795373645,          1.55101586165687), PROX_HAWKER = c(0.864780296064508,          0.823170476035045, 0.823170476035045, 0.978663880778012,          1.14805608329678, 0.823671555860494, 1.08766938871094,          0.940071074791988, 0.876506442172381, 0.608980172673109,          0.677896697868769, 0.561647681218514, 0.410023469086153,          0.264427923442986, 0.792644050178693, 0.832920293493618,          0.53455823354733, 0.53455823354733, 0.44425153291851,          0.463304434183495), PROX_MRT = c(2.02952953118228, 2.01327082024864,          2.01327082024864, 1.99882067476962, 2.10187463598542,          1.58022074581844, 1.9078610258369, 1.69853939108909,          1.8917195123599, 1.73271025710532, 1.32502198166586,          1.63637339364314, 1.23646610314009, 1.392302848886, 1.33157685526365,          1.28588132880872, 1.36742764633517, 1.36742764633517,          1.06652131186481, 1.31136747445593), PROX_PARK = c(0.564264159971047,          0.548771819269344, 0.548771819269344, 0.674672834209049,          0.706984478917025, 0.533109662164166, 0.551504280527303,          0.624691995850973, 0.516721166595223, 0.464183104254495,          0.202594030185392, 0.443665461164749, 0.375073916060521,          0.728383914708498, 0.251058120460841, 0.248039629274522,          0.486479545769779, 0.486479545769779, 0.829152657918636,          0.594979546415276), PROX_GOOD_PRISCH = c(0.555662252109323,          0.581790960048334, 0.581790960048334, 0.439174603441127,          0.494123442243702, 0.605615063995802, 0.299143542468678,          0.107363170703005, 0.213708578130609, 0.447003801568155,          0.53169554186008, 0.550324531917386, 0.706117631385061,          0.689163418131917, 0.819366619188368, 0.856849085387122,          0.819356328881161, 0.819356328881161, 1.87441197950121,          0.89296386953394), PROX_MALL = c(0.873946799305891, 0.835862391091354,          0.835862391091354, 0.994410311642026, 1.00609620967541,          0.925377142856182, 0.701652802220213, 0.625847194134012,          0.493813340134231, 0.217974225134877, 0.564979440463645,          0.190941194230935, 0.445899708163642, 0.12742430838485,          0.516143411126369, 0.562952549426665, 0.3366209001709,          0.3366209001709, 1.18499732413142, 0.357726596913911),          PROX_CHAS = c(0.248119447519373, 0.240374554675797, 0.240374554675797,          0.21913048386411, 0.0862664572880411, 0.179557542480515,          0.242250716663617, 0.134178633248207, 0.36937911638564,          0.217974279370684, 0.204909081807225, 0.190941257524933,          0.0764125853219005, 0.127424254451578, 0.236682264577822,          0.235419924819913, 0.232134688144963, 0.232134688144963,          0.358325278319411, 0.263233285458842), PROX_SUPERMARKET = c(0.315469124538892,          0.322141005481158, 0.322141005481158, 0.21913043091083,          0.0862669641327853, 0.223142170833011, 0.157554225694085,          0.344381560072065, 0.359694409353041, 0.216455869736569,          0.145410708854306, 0.19229406714866, 0.158655939798418,          0.129189539659537, 0.236682533577294, 0.23542039277371,          0.232133828519976, 0.232133828519976, 0.418420374852224,          0.263232243208913), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 0L, 2L, 1L, 2L, 2L, 3L, 2L, 1L, 1L, 3L, 1L, 0L, 2L,          2L, 2L, 2L, 1L, 2L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 4L, 8L, 3L, 6L, 3L, 7L, 9L, 3L, 10L, 5L, 6L, 7L,          7L, 5L, 5L, 2L, 6L), WITHIN_350M_BUS = c(6L, 5L, 5L,          7L, 8L, 11L, 10L, 8L, 12L, 10L, 7L, 10L, 8L, 13L, 10L,          10L, 11L, 11L, 4L, 15L), WITHIN_1KM_PRISCH = c(1L, 1L,          1L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 3L, 4L, 5L, 4L, 3L, 3L,          4L, 4L, 1L, 4L), DNeighbour = c(0, 40.9081464426925,          41.5939179502816, 122.565736117395, 298.080132981226,          465.275991701527, 534.748849244729, 555.738523082162,          673.919892406108, 975.070652652377, 989.577974663867,          1071.57709619343, 1229.55525923548, 1247.76789461989,          1257.63206564032, 1284.95619403803, 1328.57908864612,          1329.2186347103, 1392.6083052459, 1416.25762009695)), row.names = c("725",      "737", "334", "719", "879", "485", "629", "459", "780", "366",      "189", "667", "755", "771", "614", "360", "942", "734", "197",      "769"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998332046759862,      0.998275680255124, 0.985077064830182, 0.913366814901211,      0.79579128331533, 0.735193495861497, 0.715754537297239, 0.59841210497387,      0.276665310498804, 0.261918819627322, 0.182771088448974,      0.0606525177223548, 0.0500788753397851, 0.044716133076403,      0.0312671121759806, 0.0143962878725259, 0.0141936465149087,      0.00109680673216294, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1281822267 
R squared (OOB):                  0.2726486 

$Forests[[726]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 426000, 395000,      395000, 431000, 425000, 420000, 428000, 325000, 3e+05, 360000,      333000, 295000, 330000, 355000, 285000, 308000, 330000, 292000,      3e+05), floor_area_sqm = c(92, 92, 90, 92, 92, 92, 90, 90,      84, 84, 99, 103, 106, 103, 103, 92, 84, 103, 104, 99), storey_order = c(2L,      6L, 5L, 4L, 9L, 6L, 8L, 8L, 2L, 2L, 2L, 2L, 1L, 2L, 3L, 1L,      1L, 2L, 2L, 1L), remaining_lease_mths = c(1004, 1012, 1010,      1010, 1010, 1006, 1011, 1008, 783, 797, 796, 788, 825, 800,      793, 697, 795, 937, 828, 697), PROX_CBD = c(14.000256381606,      14.0324943086614, 13.990153115514, 14.0603534116893, 14.0603534116893,      14.0603534116893, 13.8798013735997, 13.8412030491349, 14.1279251783367,      14.3169519114025, 13.8977069202737, 14.3532733654858, 14.7220636963442,      13.46147060752, 13.46147060752, 14.6519123293037, 13.3304860768802,      14.5165027597446, 15.1374510187917, 14.8036441916204), PROX_ELDERLYCARE = c(1.50178268661881,      1.51384309451853, 1.56992496550613, 1.50084223071099, 1.50084223071099,      1.50084223071099, 1.77270985488013, 1.74703283433278, 1.66641228888996,      1.55261218152075, 1.56746404607568, 1.6760601574403, 0.327768156942021,      1.01995663096129, 1.01995663096129, 0.254409923718011, 0.85382998667073,      0.389463724969334, 0.426629771798313, 0.0965145667339982),          PROX_HAWKER = c(1.77005964815816, 1.73133481154049, 1.69002608854433,          1.69193386873811, 1.69193386873811, 1.69193386873811,          1.47024255459416, 1.43519165592487, 1.24304803992561,          1.19367588944735, 1.04237506554324, 0.99569743308136,          1.39864823048803, 1.03983060555389, 1.03983060555389,          1.21550185558774, 1.09459947163448, 1.0617726338971,          1.49196951764411, 1.07372228066705), PROX_MRT = c(0.865600228728207,          0.85175230125279, 0.789673249073619, 0.836549486170002,          0.836549486170002, 0.836549486170002, 0.523014705157119,          0.462396576385451, 0.59155533687368, 0.753004841751307,          0.300373388684648, 0.756418829435307, 0.0523025726452692,          0.367668143276235, 0.367668143276235, 0.218405848235923,          0.525688124362732, 0.0901878473788138, 0.164193456307044,          0.363746184676816), PROX_PARK = c(0.652876507033438,          0.65310707550057, 0.716145735764812, 0.66093693759156,          0.66093693759156, 0.66093693759156, 0.782127938386311,          0.752068597068081, 1.00515750023779, 1.00962818739137,          0.782220037546154, 1.20426051281307, 0.432331111477529,          0.582693033366388, 0.582693033366388, 0.325486875199719,          0.620743454357064, 0.278686390612803, 0.786093050092807,          0.497172938499345), PROX_GOOD_PRISCH = c(4.05408625233137,          4.07805978762992, 4.0269654833207, 4.09775909461572,          4.09775909461572, 4.09775909461572, 3.87304276717541,          3.82728738248792, 4.09179045416031, 4.27446656255715,          3.83525569342672, 4.29145341198416, 4.99661753747661,          3.38131302543864, 3.38131302543864, 4.99149337529414,          3.24954726475941, 4.93093863547281, 5.37568176340172,          5.17691715074399), PROX_MALL = c(1.30130189944441, 1.34360210764349,          1.32125061115982, 1.38265334141638, 1.38265334141638,          1.38265334141638, 1.33861894221302, 1.33339622609195,          1.48884664162065, 1.50622914679999, 1.14150204308926,          1.45738633765159, 0.343882807046916, 0.644549177151603,          0.644549177151603, 0.377416550632833, 0.513372166694422,          0.38830118917563, 0.249545786638779, 0.278400001713995         ), PROX_CHAS = c(0.313291309929199, 0.288579392766018,          0.231188025602735, 0.266609427013402, 0.266609427013402,          0.266609427013402, 0.058882652003164, 0.116038559859119,          0.283027750434604, 0.149961616171305, 0.162936326565904,          0.0428610630237518, 0.141205029857343, 0.348399033159575,          0.348399033159575, 0.0736014920224838, 0.472814153962233,          0.0918929757518676, 0.193150290660334, 0.190291087196022         ), PROX_SUPERMARKET = c(0.313291309930196, 0.288579392767071,          0.231188025603748, 0.266609427014493, 0.266609427014493,          0.266609427014493, 0.0588826520022197, 0.116038559858059,          0.283027750434408, 0.277976240278344, 0.162936951836525,          0.400567683079086, 0.141204847242777, 0.356146193343619,          0.356146193343619, 0.128878263549785, 0.510727353781082,          0.354026220875794, 0.200567401454574, 0.190291125096353         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 0L, 0L, 0L,          1L, 1L, 2L, 3L, 0L, 2L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 4L, 5L, 5L, 3L         ), WITHIN_350M_BUS = c(3L, 4L, 4L, 4L, 4L, 4L, 5L, 5L,          10L, 9L, 5L, 10L, 8L, 6L, 6L, 9L, 5L, 7L, 11L, 9L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 3L, 3L,          3L, 3L, 2L, 2L, 3L), DNeighbour = c(0, 52.8825756909387,          82.6931510495875, 93.7051863028554, 95.4066980891626,          97.1210548698097, 352.217049295053, 410.973472008309,          532.073238029147, 648.753258761702, 786.21066616778,          841.348058694235, 1178.35502119703, 1228.93940681893,          1236.63715460833, 1293.61904905272, 1390.20670545631,          1398.6085115217, 1439.51180725178, 1479.14144940912)), row.names = c("726",      "675", "276", "805", "55", "241", "877", "678", "893", "650",      "479", "697", "786", "526", "332", "986", "61", "592", "387",      "995"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.997445192810637,      0.993758766389769, 0.991989392131007, 0.991696447318063,      0.991396004647033, 0.889810388534804, 0.851562837268786,      0.757949994024703, 0.652264538995357, 0.514768915082938,      0.457594101812259, 0.133482101897234, 0.0959104937367422,      0.0906126360001589, 0.0552813444886231, 0.0136041240297181,      0.0112205557928294, 0.00279490131471104, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1185233536 
R squared (OOB):                  0.5889905 

$Forests[[727]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 412000, 420000,      435000, 440000, 410000, 390000, 417000, 435000, 438000, 376888,      575000, 585000, 565000, 430000, 540000, 447000, 615000, 658000,      360000), floor_area_sqm = c(104, 103, 104, 99, 100, 100,      104, 99, 100, 104, 104, 93, 93, 93, 104, 93, 107, 84, 84,      84), storey_order = c(1L, 4L, 2L, 2L, 3L, 3L, 1L, 3L, 4L,      2L, 3L, 5L, 4L, 6L, 2L, 4L, 3L, 2L, 3L, 2L), remaining_lease_mths = c(924,      918, 922, 928, 911, 915, 809, 914, 924, 812, 810, 1133, 1142,      1127, 819, 1142, 782, 1122, 1120, 762), PROX_CBD = c(12.0301392517655,      11.9871965659798, 11.8892341343185, 12.2106818490232, 12.2087069526051,      12.2087069526051, 11.7882471009294, 12.2815153207229, 12.114386347938,      11.7215458353159, 11.622690560426, 12.4342034244884, 12.454441113408,      12.4937468159193, 11.547248638023, 12.5378737745647, 11.7840832214562,      12.3801819754074, 12.4891302242583, 11.4815172953657), PROX_ELDERLYCARE = c(0.255083942589415,      0.210296865683283, 0.110349805405523, 0.442541563379791,      0.434858408662556, 0.434858408662556, 0.114277277444971,      0.513657423159811, 0.421163091926404, 0.240093333498969,      0.175524774720266, 0.678867196986192, 0.717258387107597,      0.714783075399861, 0.246353759583753, 0.76025522927712, 0.481333190444255,      0.738453704244922, 0.707031754326944, 0.182032582488253),          PROX_HAWKER = c(0.598391326300702, 0.625285574708341,          0.684056106771311, 0.524204307723605, 0.692592935098248,          0.692592935098248, 0.647051853283446, 0.52278816815954,          0.885134801830427, 0.609281739536534, 0.783966268147895,          0.504612881494125, 0.459376407452819, 0.680821394190482,          0.837769476188058, 0.672948721825079, 0.436117874461739,          0.261296216065877, 0.384467206049481, 0.728271246274353         ), PROX_MRT = c(0.885297742933312, 0.923336133969517,          1.00424261648768, 0.743103019894999, 0.89623888155871,          0.89623888155871, 1.00317447086964, 0.703998835661039,          1.10882075300419, 0.989064774064853, 1.15515804744233,          0.586933783104383, 0.518913352820399, 0.743366527772832,          1.16228231940478, 0.707305973375369, 0.81394482428473,          0.367154517888221, 0.38468199977318, 0.756359380624344         ), PROX_PARK = c(1.04875150887626, 1.09395352284574,          1.19263079577799, 0.863487882808023, 0.954913184146477,          0.954913184146477, 1.24877122811849, 0.796788171077343,          1.14970360230785, 1.28416187507733, 1.41684131410086,          0.628391467794767, 0.580711209690395, 0.683130710636032,          1.4881280763212, 0.628331945846246, 1.20101103678102,          0.605799570777928, 0.50651752093578, 1.50398184725757         ), PROX_GOOD_PRISCH = c(0.860616187528585, 0.855677549512306,          0.842915880539328, 0.91368762909787, 1.04944877580977,          1.04944877580977, 0.713901761199557, 0.952579960345566,          1.17061030478036, 0.585140695782779, 0.733057242670121,          1.01367306567257, 0.990054087408291, 1.16886515239787,          0.735233663606362, 1.17951788917503, 0.357669915539773,          0.823417580851307, 0.94986022590219, 0.365254403810308         ), PROX_MALL = c(0.707201836140707, 0.732793638615111,          0.787722851944232, 0.634332011832188, 0.802829369116586,          0.802829369116586, 0.741052769880115, 0.630705874818675,          0.995792127022496, 0.690287469384684, 0.868993594299523,          0.600548053404267, 0.549832225559512, 0.778202426893423,          0.918014501744059, 0.766094086501437, 0.489619370966043,          0.344173235497563, 0.458049841664737, 0.763531318053358         ), PROX_CHAS = c(0.202915262499126, 0.171681037809818,          0.124859952031804, 0.140964983635816, 0.0852358826892552,          0.0852358826892552, 0.0554870656895364, 0.0753088652692227,          0.138740180982893, 0.164718468919614, 0.151742844958785,          0.134041173915956, 0.134313038880304, 0.147744885974614,          0.157099147473317, 0.187116592266412, 0.0667093090499658,          0.126495411341712, 3.00974727266337e-08, 0.0516610437101642         ), PROX_SUPERMARKET = c(0.20670525505664, 0.172282484091702,          0.114394571204967, 0.377835654599335, 0.414959148864982,          0.414959148864982, 0.0453848138423891, 0.448534184110051,          0.459680111992834, 0.169255457402684, 0.151741730066283,          0.543693418915242, 0.499432454100223, 0.667447252804164,          0.157098334004615, 0.707597649659388, 0.379080894647373,          0.30203349112312, 0.425107542879533, 0.19171128272723         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 1L, 2L, 2L,          3L, 1L, 2L, 2L, 1L, 2L, 2L, 0L, 1L, 0L, 2L, 2L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 8L, 5L, 5L, 5L,          8L, 6L, 1L, 6L, 7L, 4L, 4L, 4L, 7L, 5L, 3L, 3L, 2L, 5L         ), WITHIN_350M_BUS = c(7L, 6L, 9L, 11L, 11L, 11L, 9L,          12L, 8L, 10L, 8L, 12L, 11L, 11L, 11L, 11L, 7L, 8L, 10L,          14L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L, 1L, 3L,          2L, 1L, 3L, 2L, 1L, 3L, 1L, 2L, 1L, 4L, 4L, 5L, 3L),          DNeighbour = c(0, 53.4157772265387, 153.19375419232,          181.974214627381, 214.802553553449, 215.218868779839,          251.802749384981, 258.549942686536, 311.202869693488,          361.829109114509, 410.264654036316, 425.787553149434,          457.785087213556, 464.140361701435, 484.85443028969,          500.100618195302, 506.400368355951, 515.797470386722,          554.46142425475, 715.045767300049)), row.names = c("727",      "689", "148", "42", "410", "680", "508", "362", "707", "625",      "750", "310", "641", "24", "598", "343", "340", "315", "505",      "213"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.988870185141125,      0.910306456571059, 0.87466125356333, 0.827658678062583, 0.82702171132246,      0.767360207182001, 0.755606284748098, 0.657044409685796,      0.553448842855877, 0.449971930403479, 0.416562752908754,      0.348242868525421, 0.334849302764824, 0.291831951812147,      0.260961917481862, 0.248445367366028, 0.230069666526888,      0.158979588589136, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1598963891 
R squared (OOB):                  0.795194 

$Forests[[728]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 320000, 347000,      380000, 420000, 365000, 325000, 335000, 680000, 660000, 390000,      3e+05, 380000, 735000, 350000, 388800, 333000, 540000, 562000,      462000), floor_area_sqm = c(84, 90, 90, 92, 92, 83, 82, 83,      87, 87, 92, 92, 92, 97, 92, 98, 89, 107, 107, 105), storey_order = c(3L,      2L, 5L, 2L, 5L, 1L, 4L, 3L, 6L, 3L, 1L, 2L, 4L, 6L, 4L, 2L,      1L, 6L, 7L, 1L), remaining_lease_mths = c(673, 672, 672,      687, 694, 777, 666, 687, 1076, 1066, 685, 691, 693, 1066,      688, 697, 692, 969, 957, 965), PROX_CBD = c(10.6549850760698,      10.5036676165143, 10.5036676165143, 10.571248724537, 10.5902646894981,      11.0884508558618, 10.0782341562763, 10.5501175985891, 10.1126951054664,      10.1126951054664, 10.3184291669162, 10.7273754880637, 10.7273754880637,      9.96973817000633, 10.7428660694501, 10.7178846249378, 10.7178846249378,      11.0486323727393, 10.9472701195372, 10.9320040827019), PROX_ELDERLYCARE = c(0.531453703929196,      0.346712236264009, 0.346712236264009, 0.426373779355343,      0.476382036969741, 1.02650055154577, 0.248412112584261, 0.724362239545807,      0.511544492658224, 0.511544492658224, 0.724299376510179,      0.968089576161562, 0.968089576161562, 0.560133969723593,      1.00386291289403, 0.903749132751209, 0.903749132751209, 0.974567200018427,      0.867518349265545, 0.83761180429981), PROX_HAWKER = c(0.345053577007401,      0.255376275980047, 0.255376275980047, 0.155284554597335,      0.142004884371921, 0.698836827436486, 0.250435976222025,      0.496328097640832, 0.268370020499938, 0.268370020499938,      0.285348407142059, 0.259491073356982, 0.259491073356982,      0.246219700947935, 0.19921426515349, 0.131164348467149, 0.131164348467149,      0.436692566666558, 0.429153921265228, 0.499252912381913),          PROX_MRT = c(0.849090589690401, 0.908007357991278, 0.908007357991278,          0.822399768635659, 0.793335563342317, 0.761094255738083,          0.622308556906305, 0.92637591011884, 0.549740095282867,          0.549740095282867, 0.752281430413819, 0.880392787161762,          0.880392787161762, 0.405168801785449, 0.911557541227745,          0.897030842789514, 0.897030842789514, 0.741783227751877,          0.638393210693291, 0.582189406643083), PROX_PARK = c(0.204920490916151,          0.381418159266178, 0.381418159266178, 0.471129460807546,          0.57091664624863, 0.300475000526789, 0.627458410441261,          0.888350706343443, 0.878497256111703, 0.878497256111703,          1.05219739289641, 0.675703893946554, 0.675703893946554,          0.868342722448078, 0.65460215425144, 0.68415716278098,          0.68415716278098, 0.644279497097323, 0.730900012581548,          0.802226928628916), PROX_GOOD_PRISCH = c(0.576127248022356,          0.825686703361669, 0.825686703361669, 0.876989954992127,          0.962114901666907, 0.293049282005855, 1.26151864262594,          1.37609088117382, 1.46177539101005, 1.46177539101005,          1.54472866778257, 1.51964159199475, 1.51964159199475,          1.55873028154778, 1.57772010642862, 1.69245386393467,          1.69245386393467, 1.50173151878208, 1.50789829567152,          1.4460454342776), PROX_MALL = c(1.12054305374088, 0.873995522285645,          0.873995522285645, 0.872531493441133, 0.838333779631814,          1.6122764231009, 0.418279044459304, 0.693136328895784,          0.269774803261538, 0.269774803261538, 0.472532088410597,          0.885934538444454, 0.885934538444454, 0.129560175686973,          0.913300066979642, 0.922177591154216, 0.922177591154216,          1.41292867182356, 1.34630282297423, 1.37776203899083),          PROX_CHAS = c(0.290835710912963, 0.217153936659979, 0.217153936659979,          0.109732367463933, 0.0950095589968322, 0.206694589078668,          0.186550674976261, 0.120595382532287, 0.20472250196774,          0.20472250196774, 0.165961529218061, 0.161497017697243,          0.161497017697243, 0.0647243745052949, 0.184868017131885,          0.141741960002869, 0.141741960002869, 0.375455350402476,          0.344403926608958, 0.293630149165848), PROX_SUPERMARKET = c(0.292451786949051,          0.291549431934698, 0.291549431934698, 0.199099262156692,          0.190547463602814, 0.293331714819264, 0.255147915067147,          0.448117335537485, 0.35798039621586, 0.35798039621586,          0.447507928623339, 0.294310303883692, 0.294310303883692,          0.241122798862169, 0.247977273863763, 0.141741503991008,          0.141741503991008, 0.408205375796458, 0.381194313170787,          0.445162931243089), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 0L, 0L, 0L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 0L, 2L,          2L, 2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 2L,          2L, 3L, 2L, 3L, 5L, 2L, 6L, 6L, 4L, 3L, 3L, 6L, 3L, 4L,          4L, 0L, 0L, 0L), WITHIN_350M_BUS = c(7L, 6L, 6L, 5L,          6L, 8L, 5L, 6L, 6L, 6L, 7L, 4L, 4L, 7L, 5L, 6L, 6L, 2L,          2L, 0L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 1L,          2L, 5L, 3L, 3L, 5L, 5L, 5L, 2L, 5L, 5L, 5L, 3L, 4L, 4L         ), DNeighbour = c(0, 252.936692007003, 257.281837336526,          310.715800186151, 404.376287475464, 502.228086215659,          720.993665008838, 819.643053563633, 890.165911090583,          891.254020581246, 971.028913443947, 992.637385063514,          997.178867595406, 1001.03777603162, 1057.53487316922,          1162.92105115982, 1172.50005287997, 1667.60538861443,          1676.71532543333, 1743.0510730955)), row.names = c("728",      "940", "482", "210", "701", "98", "84", "778", "316", "506",      "97", "648", "651", "471", "43", "429", "914", "630", "255",      "671"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.958328737810363,      0.95690061462376, 0.937456690603767, 0.895254846928482, 0.840852657563191,      0.687080001961598, 0.60665304361677, 0.546404116777623, 0.545461319766698,      0.475624664158951, 0.456556279655867, 0.452545667810802,      0.449137444748205, 0.399294018852064, 0.307888253192925,      0.299771157775118, 0.00717305747165478, 0.00557503615378026,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4716362373 
R squared (OOB):                  0.7258364 

$Forests[[729]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(312000, 336000, 288000,      330000, 315000, 295000, 320000, 295000, 320000, 338000, 345000,      315000, 305000, 350000, 330000, 345000, 320000, 339000, 313000,      330000), floor_area_sqm = c(101, 102, 84, 103, 103, 101,      104, 84, 84, 102, 102, 102, 99, 102, 115, 102, 101, 102,      99, 102), storey_order = c(2L, 3L, 3L, 1L, 2L, 1L, 4L, 4L,      4L, 4L, 4L, 2L, 1L, 4L, 1L, 2L, 1L, 3L, 4L, 1L), remaining_lease_mths = c(933,      916, 893, 928, 926, 917, 893, 875, 885, 922, 926, 913, 921,      923, 898, 927, 924, 923, 918, 911), PROX_CBD = c(18.4625985868209,      18.5506225538857, 18.3632948597919, 18.5768909080638, 18.5458637520931,      18.4986491838169, 18.4249149071789, 18.4249149071789, 18.3433564216417,      18.1611534549189, 18.236688278315, 17.9994058772431, 17.9733391318796,      18.0569924715364, 18.4399301385868, 18.2868848905217, 18.0902268845521,      17.9456645257603, 17.8728040148932, 18.2320763538069), PROX_ELDERLYCARE = c(0.765079897684544,      0.859723249528503, 0.645296274244347, 0.912532633143698,      0.890661700747245, 0.86418951980865, 0.705240184131779, 0.705240184131779,      0.623669944895056, 0.519233937445895, 0.732088251039709,      0.430537495183344, 0.376016337241346, 0.59750504274373, 0.789710764787337,      0.896456720381782, 0.706169610995159, 0.476454782767532,      0.330981516384048, 0.927534095024191), PROX_HAWKER = c(0.906262708365532,      0.958117298193611, 0.921741667576702, 0.935860141611343,      0.898999046399804, 0.838043969781633, 1.0161652570538, 1.0161652570538,      0.960648791795978, 0.617364695979906, 0.537987121264097,      0.472244893923117, 0.501520555884575, 0.391180253405874,      1.26661829972954, 0.547085889030319, 0.370412154176866, 0.3648710200987,      0.446535534086157, 0.493410913505403), PROX_MRT = c(0.897303014326537,      0.942174684471822, 0.927224403125457, 0.912233851204259,      0.87509641959225, 0.812751343363136, 0.906393011935236, 0.906393011935236,      0.899458799363821, 0.623413162025338, 0.511061821383635,      0.492638498779759, 0.52882455357406, 0.384524332485438, 0.715824290886542,      0.495991449430539, 0.341202563029131, 0.385567417899789,      0.4868918768976, 0.433316978327494), PROX_PARK = c(1.31620863428189,      1.32670572464855, 1.22890358268929, 1.41172869826724, 1.4387346144793,      1.49181484955502, 1.13759587953072, 1.13759587953072, 1.17596756648915,      1.52418818882418, 1.7164330470264, 1.65421298847909, 1.62685700377268,      1.77011013021076, 0.859791414716402, 1.86697967968657, 1.8531048262974,      1.76180373116006, 1.69875568186822, 1.96114614265628), PROX_GOOD_PRISCH = c(9.04019528068803,      9.12094588228633, 8.96505409295358, 9.13217936844248, 9.09837600782165,      9.04519470993137, 9.03817471771729, 9.03817471771729, 8.95760590087653,      8.72758527833631, 8.76378557853615, 8.5589292690065, 8.54142359534323,      8.58956131155308, 9.10971468714541, 8.78822500750919, 8.60631027953587,      8.49089982759618, 8.43952013253886, 8.72297519828522), PROX_MALL = c(0.414588198127445,      0.46921205797367, 0.282416841692855, 0.390092702495136, 0.359721010486642,      0.305101649121832, 0.204519313237763, 0.204519313237763,      0.22079632378696, 0.475604736810637, 0.240339889961931, 0.446560923090423,      0.395841490391381, 0.407254736414821, 0.107021299056373,      0.1450338527091, 0.342860958869265, 0.428159644756295, 0.330972758922268,      0.22704735136933), PROX_CHAS = c(0.399223798550346, 0.469212052170377,      0.231219576578415, 0.390092699752756, 0.359721009550721,      0.305101651313883, 0.20451929737041, 0.20451929737041, 0.167893491583302,      0.405258493214775, 0.184864523484869, 0.324811070171065,      0.364030465322827, 0.222103720735081, 0.107021320216693,      0.0217240252323136, 0.209799590563819, 0.218909691095897,      0.330972805611547, 0.11607611654581), PROX_SUPERMARKET = c(0.414588227521533,      0.469212308573368, 0.282416494634945, 0.390093045846372,      0.359721304530864, 0.305101855713295, 0.204519239868594,      0.204519239868594, 0.220795796105544, 0.475604214408431,      0.240339157209448, 0.408691343873882, 0.356071330024396,      0.385535197909366, 0.107021556198121, 0.145032957963293,      0.342860053820009, 0.365864675212809, 0.300218301814749,      0.227046556279957), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L,      1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(6L, 6L, 8L, 5L, 5L,      6L, 7L, 7L, 8L, 5L, 6L, 4L, 3L, 4L, 4L, 7L, 6L, 3L, 4L, 5L     ), WITHIN_350M_BUS = c(8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 8L,      10L, 7L, 9L, 11L, 9L, 7L, 9L, 7L, 8L, 8L, 10L), WITHIN_1KM_PRISCH = c(5L,      5L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 7L, 7L, 6L, 3L, 4L,      5L, 6L, 7L, 4L), DNeighbour = c(0, 99.2673664157109, 170.485293681944,      173.026658301908, 176.146264042413, 194.909541162186, 206.989495721985,      211.195970774048, 238.104104328424, 314.635965478662, 413.513060450642,      489.52629012389, 498.674574066947, 512.733776617921, 519.127688683826,      549.904401099086, 567.36046219434, 575.532475537863, 602.856944368173,      643.806082874956)), row.names = c("729", "291", "864", "828",      "576", "684", "738", "265", "953", "330", "227", "177", "179",      "491", "247", "787", "74", "20", "992", "443"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.953017139972083, 0.864670272754141, 0.860757705488965,      0.855888197991683, 0.825090683099892, 0.803948794855934,      0.79635616457115, 0.745148217893474, 0.579364951496782, 0.345106744734583,      0.177955895111112, 0.160029787824609, 0.133758931044796,      0.122369183581767, 0.0731348633918058, 0.0498990930226909,      0.0403398252133428, 0.015169364790515, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       289040110 
R squared (OOB):                  0.07994503 

$Forests[[730]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 272000, 325000,      297000, 326000, 303000, 344000, 350000, 350000, 375000, 318000,      316000, 330000, 305000, 303888, 298000, 279000, 380000, 3e+05,      435000), floor_area_sqm = c(84, 89, 91, 91, 100, 92, 114,      103, 104, 92, 91, 92, 103, 91, 93, 93, 91, 105, 96, 92),          storey_order = c(1L, 2L, 4L, 3L, 2L, 1L, 2L, 4L, 3L,          4L, 1L, 3L, 2L, 4L, 2L, 1L, 2L, 2L, 4L, 4L), remaining_lease_mths = c(822,          882, 780, 788, 915, 794, 909, 768, 901, 783, 765, 781,          773, 791, 782, 777, 801, 910, 791, 1118), PROX_CBD = c(17.6406634027014,          17.8554664137964, 18.1476771148045, 18.1476771148045,          17.6260899808187, 18.2139172788048, 17.7896312466061,          18.3186881593276, 17.7210097801066, 18.1857629477019,          18.2234963781047, 18.2234963781047, 18.4499801912104,          18.2610111258248, 18.5252470382495, 18.5252470382495,          18.2989051402725, 17.589085398281, 18.5761736305699,          17.3261487576713), PROX_ELDERLYCARE = c(1.035266769267,          0.800501761367975, 0.519546459890619, 0.519546459890619,          1.35112026832555, 0.649170232100017, 1.25681260125729,          0.586525817031338, 1.43994188754287, 0.47723779098819,          0.448333702611612, 0.448333702611612, 0.504778052376495,          0.421521882373529, 0.449194476018676, 0.449194476018676,          0.397078044127006, 0.387351173411546, 0.0638277150498875,          0.0820501598186151), PROX_HAWKER = c(0.425506106332545,          0.203123967436651, 0.209390724873544, 0.209390724873544,          0.881717267283345, 0.488031980714328, 0.881066744107593,          0.564283191409187, 1.08104793194974, 0.380157991945912,          0.416527045274471, 0.416527045274471, 0.652207052169444,          0.453171307776496, 0.69553534809229, 0.69553534809229,          0.491047773869601, 0.776912813652288, 0.562029876499453,          1.11394087375576), PROX_MRT = c(0.641227062746355, 0.555370291384357,          0.491311596778589, 0.491311596778589, 0.583976034009999,          0.192826481399443, 0.459633808793419, 0.220618943711049,          0.633809880192534, 0.548087095608087, 0.545975779093886,          0.545975779093886, 0.322534237265928, 0.547550551918807,          0.398456142880405, 0.398456142880405, 0.552168886353884,          0.371614593402704, 0.874368880716004, 0.527347528775627         ), PROX_PARK = c(0.74946287094318, 0.515057634059466,          0.270911567278729, 0.270911567278729, 1.13048326604805,          0.532358306258428, 1.08767920112524, 0.548488124002706,          1.21384923350496, 0.261695126667213, 0.264257474455249,          0.264257474455249, 0.536975621309476, 0.272660801967067,          0.491317901173298, 0.491317901173298, 0.287159802467115,          0.925923962472294, 0.287868908027907, 1.2769930066147         ), PROX_GOOD_PRISCH = c(8.7372089119322, 8.91472106998272,          9.18618174729203, 9.18618174729203, 8.8937984610311,          9.33501569353139, 9.06437119601063, 9.44179125712709,          9.06160802360773, 9.10363750169146, 9.1355701416359,          9.1355701416359, 9.56762880935522, 9.16752282736586,          9.63394268044443, 9.63394268044443, 9.19982386356694,          8.43639308613493, 9.51590189269927, 8.12402124316527),          PROX_MALL = c(0.427942470585451, 0.208298160410803, 0.218975149940797,          0.218975149940797, 0.88883938803957, 0.498813518897969,          0.889615709496153, 0.574856358668165, 1.08939761229127,          0.374195605351922, 0.411037179701155, 0.411037179701155,          0.662291407978718, 0.448092738738542, 0.705200807731176,          0.705200807731176, 0.486326630506135, 0.232188905247248,          0.624506085881379, 0.48073822857487), PROX_CHAS = c(0.23100298607827,          0.208298146952687, 0.218975205360203, 0.218975205360203,          0.292626833079875, 0.0363398547195702, 0.198210651063146,          0.141159289664064, 0.398301228330107, 0.172021358032342,          0.132763801624598, 0.132763801624598, 0.201478871858691,          0.0964740211655948, 0.240425442805127, 0.240425442805127,          0.0660681856594747, 0.0713809516165408, 0.0792988689034794,          0.111581872390774), PROX_SUPERMARKET = c(0.231004283416662,          0.19872598136169, 0.206881250620068, 0.206881250620068,          0.489184551662952, 0.186956242757619, 0.347801992140281,          0.210011389308567, 0.510818921359131, 0.38486207983901,          0.421116980529575, 0.421116980529575, 0.310351384739933,          0.457654559995222, 0.386130046709882, 0.386130046709882,          0.490326509583637, 0.238177195426237, 0.625539331690589,          0.111582815761828), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 3L, 1L, 3L, 1L, 3L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(6L, 5L,          3L, 3L, 3L, 5L, 4L, 4L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,          2L, 2L, 2L, 3L), WITHIN_350M_BUS = c(8L, 10L, 7L, 7L,          6L, 9L, 7L, 10L, 5L, 4L, 6L, 6L, 9L, 6L, 8L, 8L, 6L,          8L, 10L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L,          2L, 2L, 2L, 2L, 4L, 4L, 4L, 2L, 4L, 2L, 2L, 4L, 5L, 2L,          5L), DNeighbour = c(0, 233.242613053737, 519.97189729528,          525.652801580967, 540.545717073392, 603.204045959965,          611.631534378904, 710.453126014946, 787.690030956936,          790.56325235689, 830.737199658039, 832.568433451135,          838.438086618399, 872.865002689875, 900.44126990401,          900.555830052104, 911.478869907976, 916.526431376547,          1039.80594415447, 1184.34757947209)), row.names = c("730",      "467", "944", "827", "612", "481", "172", "367", "825", "733",      "47", "202", "810", "905", "106", "11", "433", "464", "78",      "372"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.923935366903986,      0.651647543757485, 0.644828386953571, 0.626775798713734,      0.54848821275902, 0.53773035992675, 0.409801571686886, 0.310989070801632,      0.307393818811963, 0.258059557057719, 0.255858059272181,      0.248833007672299, 0.208693611230818, 0.178056377183688,      0.177932263036543, 0.166226936346059, 0.160906298690403,      0.0525289528698491, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1274705443 
R squared (OOB):                  0.1279693 

$Forests[[731]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(655000, 663000, 676000,      640000, 655000, 380000, 4e+05, 4e+05, 385000, 350888, 340000,      398000, 390000, 360000, 380000, 418000, 4e+05, 418000, 410000,      352000), floor_area_sqm = c(87, 87, 87, 87, 87, 93, 98, 104,      91, 93, 92, 92, 92, 83, 92, 92, 92, 91, 103, 84), storey_order = c(5L,      4L, 3L, 4L, 1L, 3L, 4L, 2L, 1L, 3L, 1L, 3L, 1L, 3L, 4L, 4L,      4L, 5L, 2L, 2L), remaining_lease_mths = c(1121, 1124, 1120,      1121, 1123, 724, 718, 751, 715, 712, 699, 714, 711, 803,      695, 691, 690, 774, 799, 800), PROX_CBD = c(9.49727834386093,      9.49727834386093, 9.49727834386093, 9.42381765287156, 9.39818328429371,      9.50206510185676, 9.5915755681771, 9.83498872427818, 8.8262745849674,      9.68679892421183, 9.97016469840266, 9.95525560808738, 9.71066487891121,      8.52567265657093, 9.61422948612377, 9.61422948612377, 9.59976569988281,      9.35032791665702, 8.31972436488376, 8.28689365911172), PROX_ELDERLYCARE = c(0.735218745429302,      0.735218745429302, 0.735218745429302, 0.750155484045513,      0.718190414835305, 0.619429799229152, 0.558000418748021,      0.611336059876525, 0.896855030989675, 0.35495808488012, 0.14040561650552,      0.150508443509651, 0.385358274245319, 1.23693676843424, 0.28812103687201,      0.28812103687201, 0.239547661796275, 0.227789996497476, 1.3912791419992,      1.3668692597991), PROX_HAWKER = c(0.639074974233661, 0.639074974233661,      0.639074974233661, 0.667492197519696, 0.640059738279374,      0.518318645141504, 0.434568479089541, 0.54583502916026, 0.311054993693233,      0.221606053969191, 0.15909114400288, 0.153089379504462, 0.39402887106119,      0.0724679807682574, 0.398658919868918, 0.398658919868918,      0.436761476721694, 0.508896406641727, 0.252588085280054,      0.269406334629514), PROX_MRT = c(0.499971219475903, 0.499971219475903,      0.499971219475903, 0.423547456258288, 0.401734036242065,      0.533910829474844, 0.656590823238566, 0.722241727367494,      0.17731989795878, 0.760373725070279, 0.494111782173202, 0.521845664201362,      0.746020760246364, 0.510058766918036, 0.667432439829923,      0.667432439829923, 0.619962862184004, 0.569946398217962,      0.44379796826936, 0.467794692056616), PROX_PARK = c(0.298527066745392,      0.298527066745392, 0.298527066745392, 0.258916726718906,      0.220484561261844, 0.26219477257436, 0.355705093322714, 0.296755194228525,      0.458605630557841, 0.664893225436512, 0.68588072489708, 0.730503149795042,      0.914740437498633, 0.557643312318536, 0.922231693079911,      0.922231693079911, 0.957886982704992, 0.726258134328713,      0.59965919275643, 0.570592214216024), PROX_GOOD_PRISCH = c(2.17599822879711,      2.17599822879711, 2.17599822879711, 2.24680049319454, 2.27458198186913,      2.18628235132699, 2.11809049366399, 1.88657748145099, 2.8424495793979,      2.17803171840573, 1.97396491196204, 2.01039924795066, 2.31351362539819,      3.13534109620979, 2.38715383730665, 2.38715383730665, 2.35345437748376,      2.41566392235711, 3.04207330950824, 2.99359805566516), PROX_MALL = c(1.45007786498113,      1.45007786498113, 1.45007786498113, 1.48330987402926, 1.45650167595406,      1.32833110917602, 1.22478662403239, 1.23747152538927, 1.64561868645684,      0.796976758090547, 0.802483711672914, 0.757457219803541,      0.505770857705003, 1.96281231550532, 0.43353114329251, 0.43353114329251,      0.387669919047214, 0.406203001531397, 2.10790194839897, 2.09618768409308     ), PROX_CHAS = c(0.101351467161616, 0.101351467161616, 0.101351467161616,      0.0719365450960561, 0.109789289200213, 0.219477506246216,      0.346218272658546, 0.352730820744124, 0.221229860630612,      0.0707228333244178, 0.187394625423847, 0.144412947448491,      0.255589678637005, 0.169369143123463, 0.28666502826278, 0.28666502826278,      0.263208245292117, 0.146235674893272, 0.261198443001062,      0.229330661012247), PROX_SUPERMARKET = c(0.0715849245259307,      0.0715849245259307, 0.0715849245259307, 0.100679215951394,      0.13637298984998, 0.191210069763785, 0.300584979098838, 0.324694852199881,      0.221249484047241, 0.128382981112681, 0.215556112381702,      0.204623167766534, 0.363062686357781, 0.169391527985645,      0.396736556610776, 0.396736556610776, 0.44091986097032, 0.347306649978202,      0.272257424647181, 0.266710264104055), WITHIN_350M_KINDERGARTEN = c(1L,      1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L,      2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 6L,      6L, 6L, 5L, 1L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 4L, 5L, 3L,      2L), WITHIN_350M_BUS = c(4L, 4L, 4L, 5L, 6L, 2L, 5L, 3L,      5L, 10L, 9L, 9L, 13L, 8L, 11L, 11L, 11L, 9L, 9L, 7L), WITHIN_1KM_PRISCH = c(1L,      1L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 4L, 4L, 4L, 4L, 2L, 4L, 4L,      3L, 3L, 1L, 1L), DNeighbour = c(0, 5.08021904000361, 8.50427208053606,      77.08966510863, 95.8531918435321, 126.437535573204, 247.47972631292,      425.866590393207, 668.940167492955, 689.823224518271, 890.993451989054,      912.443334150792, 979.526403370856, 1001.11483228794, 1020.31246472728,      1023.09768520705, 1064.44482239335, 1139.6074929225, 1208.04985321986,      1237.92066161598)), row.names = c("731", "466", "593", "9",      "657", "539", "746", "659", "814", "946", "211", "971", "776",      "404", "603", "499", "964", "37", "540", "266"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999966317401305, 0.999905613818453, 0.992259058629535,      0.988044887624755, 0.979244881629174, 0.92166476046483, 0.777309963220466,      0.501258216750599, 0.475382253440524, 0.232285318819949,      0.208590341866964, 0.139798011425575, 0.119711393955997,      0.102829281662348, 0.10046120552053, 0.0679290091221374,      0.0232650225792013, 0.00227313453806442, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4002362335 
R squared (OOB):                  0.7354481 

$Forests[[732]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 405000, 398888,      370000, 385000, 353000, 330000, 369988, 365000, 350000, 370000,      390000, 345000, 330000, 378888, 356888, 425000, 370000, 374000,      375000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 85, 91,      91, 91, 90, 100, 85, 91, 90, 91, 92, 90, 94, 90), storey_order = c(4L,      6L, 6L, 3L, 5L, 1L, 4L, 4L, 5L, 1L, 2L, 6L, 6L, 3L, 6L, 5L,      3L, 3L, 3L, 4L), remaining_lease_mths = c(1138, 1138, 1127,      1127, 1140, 1136, 992, 1002, 993, 992, 1016, 942, 968, 951,      949, 963, 1059, 997, 987, 986), PROX_CBD = c(12.9439612539798,      12.9439612539798, 12.9439612539798, 12.9599687546274, 12.9599687546274,      12.9273038019752, 13.0825190214061, 13.2138793761114, 13.2138793761114,      12.6773565587662, 13.0393088300804, 12.9172885276263, 13.131637538161,      12.402570085049, 12.4403773011877, 13.1584578321731, 13.6873856248974,      13.5299248791723, 13.4804039164095, 13.5741440973944), PROX_ELDERLYCARE = c(0.119102012768026,      0.119102012768026, 0.119102012768026, 0.230213196902471,      0.230213196902471, 0.250608726248769, 0.120371550198491,      0.200446926946864, 0.200446926946864, 0.36284597954094, 0.38924985743242,      0.440978457512705, 0.425459762987539, 0.628872951670854,      0.624054710630084, 0.528614390300154, 0.720975229682918,      0.737190256849548, 0.746393599063579, 0.759293685927778),          PROX_HAWKER = c(2.07494386608678, 2.07494386608678, 2.07494386608678,          2.16699861471209, 2.16699861471209, 2.14952956067865,          1.90213677974947, 1.87231067409155, 1.87231067409155,          1.72249172765999, 1.75849952292251, 1.76689210194785,          1.67102672130552, 1.50745216628998, 1.46996215979098,          1.59466084315792, 1.83406121528111, 1.28441999759135,          1.28815813567136, 1.13978469441664), PROX_MRT = c(0.464899886897548,          0.464899886897548, 0.464899886897548, 0.576831878931421,          0.576831878931421, 0.585364307317434, 0.30821900832469,          0.348476568009787, 0.348476568009787, 0.142163643631393,          0.103022581922205, 0.0642144868642362, 0.197259382412543,          0.198968515523371, 0.140157494228817, 0.258879114766752,          0.19923660487806, 0.189597864599581, 0.26513727845816,          0.147719870982538), PROX_PARK = c(0.700809394437081,          0.700809394437081, 0.700809394437081, 0.828547076231476,          0.828547076231476, 0.834972281659159, 0.557623544885242,          0.701388397724732, 0.701388397724732, 0.484105342641425,          0.291844359651056, 0.18581491955197, 0.350705699368152,          0.61879465488716, 0.525489875872169, 0.332476768251147,          0.855123415409032, 0.695004999747215, 0.640650351334918,          0.739375101722708), PROX_GOOD_PRISCH = c(4.27162250172191,          4.27162250172191, 4.27162250172191, 4.35761410397793,          4.35761410397793, 4.33782029579385, 4.27923006279343,          4.43819501492863, 4.43819501492863, 3.92066991749349,          4.09066115622083, 3.96344124390297, 4.16094245740848,          3.69141799128789, 3.6640626331803, 4.13557899544262,          4.98236347160825, 4.45977917937361, 4.38951064564596,          4.41976113712118), PROX_MALL = c(0.646092130793046, 0.646092130793046,          0.646092130793046, 0.630320880177991, 0.630320880177991,          0.664096204002356, 0.482494809972804, 0.411800643307333,          0.411800643307333, 0.485078273736912, 0.199839805040887,          0.125441786165087, 0.249640338015364, 0.407881748949563,          0.37643645467035, 0.231810009894563, 0.138188079312201,          0.598877544697789, 0.548104683226502, 0.656440732478167         ), PROX_CHAS = c(0.136400058110832, 0.136400058110832,          0.136400058110832, 0.256311352337612, 0.256311352337612,          0.273668945808659, 0.1115602293269, 0.186991486151685,          0.186991486151685, 0.334175310205776, 0.19843851708658,          0.146232137849481, 0.23569948169583, 0.407881782403473,          0.376436475429729, 0.20604200841638, 0.138188055488585,          0.124645472322039, 0.196586841411628, 0.175269995719201         ), PROX_SUPERMARKET = c(0.636728053790567, 0.636728053790567,          0.636728053790567, 0.621743565428055, 0.621743565428055,          0.655577492568061, 0.482493892596986, 0.40197012970004,          0.40197012970004, 0.485077395132212, 0.199839014107547,          0.125440795942109, 0.249639808314143, 0.451295114828249,          0.426522673463594, 0.231809873410795, 0.147450463248511,          0.181636181040517, 0.253358431108118, 0.3594639622224         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 2L, 2L, 1L, 0L, 0L, 1L, 1L, 4L, 3L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 3L, 3L, 3L,          7L, 5L, 5L, 8L, 8L, 9L, 5L, 3L, 4L, 6L, 6L, 5L, 5L, 6L         ), WITHIN_350M_BUS = c(3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L,          2L, 13L, 7L, 9L, 7L, 9L, 11L, 7L, 7L, 8L, 9L, 10L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 5L, 6L, 6L, 4L, 7L, 7L, 7L, 4L, 4L,          7L, 5L, 6L, 5L, 9L), DNeighbour = c(0, 1.00420705165272,          6.81500520562817, 131.67502891908, 133.589633648991,          145.131197986233, 236.379977043835, 289.690333992854,          294.007076001268, 350.7351016812, 495.255063115016, 525.587836156591,          537.939790816273, 592.832434375688, 609.020779907182,          637.238018031836, 761.426105162991, 849.3590572387, 863.53152733464,          1021.81348187447)), row.names = c("732", "882", "936",      "990", "95", "462", "886", "313", "474", "400", "141", "887",      "153", "80", "444", "339", "4", "165", "72", "15"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999998068329433, 0.999911036991107, 0.967063867961548,      0.966107411025099, 0.960060238571303, 0.895833252131921,      0.845708858697991, 0.841276133225365, 0.778243376359377,      0.585351876695202, 0.540851230324809, 0.522503634988854,      0.440092830675788, 0.415716402882637, 0.373418960871188,      0.197775609698049, 0.0955190159076259, 0.081687944161404,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       542387495 
R squared (OOB):                  0.03956776 

$Forests[[733]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 318000, 316000,      305000, 279000, 3e+05, 297000, 325000, 272000, 370000, 355000,      359900, 380000, 245000, 303000, 282000, 320000, 350000, 330000,      298000), floor_area_sqm = c(92, 91, 92, 91, 91, 96, 91, 91,      89, 93, 93, 93, 105, 88, 92, 84, 84, 103, 103, 93), storey_order = c(4L,      1L, 3L, 4L, 2L, 4L, 3L, 4L, 2L, 5L, 3L, 3L, 2L, 2L, 1L, 1L,      1L, 4L, 2L, 1L), remaining_lease_mths = c(783, 765, 781,      791, 801, 791, 788, 780, 882, 1106, 1111, 1117, 910, 668,      794, 836, 822, 768, 773, 777), PROX_CBD = c(18.1857629477019,      18.2234963781047, 18.2234963781047, 18.2610111258248, 18.2989051402725,      18.5761736305699, 18.1476771148045, 18.1476771148045, 17.8554664137964,      18.8127816342995, 18.8127816342995, 18.8127816342995, 17.589085398281,      18.8842060529579, 18.2139172788048, 18.5087583118065, 17.6406634027014,      18.3186881593276, 18.4499801912104, 18.5252470382495), PROX_ELDERLYCARE = c(0.47723779098819,      0.448333702611612, 0.448333702611612, 0.421521882373529,      0.397078044127006, 0.0638277150498875, 0.519546459890619,      0.519546459890619, 0.800501761367975, 0.176499517448139,      0.176499517448139, 0.176499517448139, 0.387351173411546,      0.229103995883471, 0.649170232100017, 0.855934448185717,      1.035266769267, 0.586525817031338, 0.504778052376495, 0.449194476018676     ), PROX_HAWKER = c(0.380157991945912, 0.416527045274471,      0.416527045274471, 0.453171307776496, 0.491047773869601,      0.562029876499453, 0.209390724873544, 0.209390724873544,      0.203123967436651, 0.325560722493799, 0.325560722493799,      0.325560722493799, 0.776912813652288, 0.280513302960552,      0.488031980714328, 1.00705768005988, 0.425506106332545, 0.564283191409187,      0.652207052169444, 0.69553534809229), PROX_MRT = c(0.548087095608087,      0.545975779093886, 0.545975779093886, 0.547550551918807,      0.552168886353884, 0.874368880716004, 0.491311596778589,      0.491311596778589, 0.555370291384357, 1.04083770509984, 1.04083770509984,      1.04083770509984, 0.371614593402704, 1.03601464731326, 0.192826481399443,      0.534460782086299, 0.641227062746355, 0.220618943711049,      0.322534237265928, 0.398456142880405), PROX_PARK = c(0.261695126667213,      0.264257474455249, 0.264257474455249, 0.272660801967067,      0.287159802467115, 0.287868908027907, 0.270911567278729,      0.270911567278729, 0.515057634059466, 0.51923222906617, 0.51923222906617,      0.51923222906617, 0.925923962472294, 0.579556587207627, 0.532358306258428,      0.516289874277036, 0.74946287094318, 0.548488124002706, 0.536975621309476,      0.491317901173298), PROX_GOOD_PRISCH = c(9.10363750169146,      9.1355701416359, 9.1355701416359, 9.16752282736586, 9.19982386356694,      9.51590189269927, 9.18618174729203, 9.18618174729203, 8.91472106998272,      9.7422556358987, 9.7422556358987, 9.7422556358987, 8.43639308613493,      9.83133063879426, 9.33501569353139, 9.25922423900801, 8.7372089119322,      9.44179125712709, 9.56762880935522, 9.63394268044443), PROX_MALL = c(0.374195605351922,      0.411037179701155, 0.411037179701155, 0.448092738738542,      0.486326630506135, 0.624506085881379, 0.218975149940797,      0.218975149940797, 0.208298160410803, 0.856774663098642,      0.856774663098642, 0.856774663098642, 0.232188905247248,      0.91348864249693, 0.498813518897969, 0.521454353681198, 0.427942470585451,      0.574856358668165, 0.662291407978718, 0.705200807731176),          PROX_CHAS = c(0.172021358032342, 0.132763801624598, 0.132763801624598,          0.0964740211655948, 0.0660681856594747, 0.0792988689034794,          0.218975205360203, 0.218975205360203, 0.208298146952687,          0.2593611752042, 0.2593611752042, 0.2593611752042, 0.0713809516165408,          0.241229981070425, 0.0363398547195702, 0.521454374874156,          0.23100298607827, 0.141159289664064, 0.201478871858691,          0.240425442805127), PROX_SUPERMARKET = c(0.38486207983901,          0.421116980529575, 0.421116980529575, 0.457654559995222,          0.490326509583637, 0.625539331690589, 0.206881250620068,          0.206881250620068, 0.19872598136169, 0.856773769273042,          0.856773769273042, 0.856773769273042, 0.238177195426237,          0.911876453557648, 0.186956242757619, 0.521454611985023,          0.231004283416662, 0.210011389308567, 0.310351384739933,          0.386130046709882), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L,          0L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 2L, 2L, 3L, 3L, 5L, 1L, 1L, 1L, 2L, 1L, 5L, 1L,          6L, 4L, 2L, 1L), WITHIN_350M_BUS = c(4L, 6L, 6L, 6L,          6L, 10L, 7L, 7L, 10L, 16L, 16L, 16L, 8L, 13L, 9L, 4L,          8L, 10L, 9L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 2L, 3L, 3L, 3L, 1L, 1L, 1L, 5L, 1L, 2L, 4L, 3L, 2L,          2L, 2L), DNeighbour = c(0, 43.6611592061102, 46.045345965439,          87.5142251173238, 128.88266749177, 418.996394308123,          450.84252122251, 451.790418932861, 584.983270238362,          637.454002015163, 642.534075912482, 645.87149438583,          689.721993187739, 736.550630316381, 754.678960947862,          755.240995860152, 790.56325235689, 790.813322458412,          829.756493924958, 830.761286720577)), row.names = c("733",      "47", "202", "905", "433", "78", "827", "944", "467", "637",      "418", "604", "464", "96", "481", "393", "730", "367", "810",      "11"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.994483446629928,      0.993865468651058, 0.977929182988283, 0.952443644101509,      0.555962192203551, 0.497718825683001, 0.495971151637723,      0.25418555694079, 0.169110636479881, 0.161450522960309, 0.156482537166622,      0.0965469467726689, 0.0457726366275433, 0.0305465605338166,      0.0301182630924521, 0.00891752929573584, 0.00880964027343511,      5.8443347643888e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1331965013 
R squared (OOB):                  0.02468317 

$Forests[[734]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(369000, 375000, 385000,      485000, 390000, 455000, 376000, 335000, 398000, 368000, 395000,      388000, 373000, 360000, 325000, 389000, 370000, 418888, 408000,      325000), floor_area_sqm = c(94, 90, 101, 93, 101, 93, 101,      93, 100, 100, 101, 100, 103, 104, 84, 103, 98, 100, 100,      85), storey_order = c(5L, 5L, 3L, 7L, 4L, 3L, 2L, 5L, 2L,      2L, 4L, 4L, 1L, 2L, 5L, 2L, 2L, 2L, 4L, 1L), remaining_lease_mths = c(942,      946, 952, 1137, 932, 1139, 948, 921, 924, 923, 936, 922,      870, 804, 812, 863, 912, 932, 921, 830), PROX_CBD = c(10.5038890156487,      10.5038890156487, 10.5394819073022, 10.5587309121129, 10.247812625002,      10.5974154418399, 10.1515839247586, 10.6321305837804, 10.2027088676681,      10.5911430304609, 10.5347600839054, 10.3133134299625, 9.95029435977204,      10.0879656312395, 9.87023127008802, 9.90721965789512, 10.6430674352334,      9.64941173000682, 10.7481925626994, 10.1989356004427), PROX_ELDERLYCARE = c(1.64894906385774,      1.64894906385774, 1.55101586165687, 1.80931542236799, 1.89270432318243,      1.80859644276987, 1.93850967877536, 1.32435226249417, 1.63738856945076,      1.2745451415541, 1.31633228018286, 1.4124150938613, 2.09611483432966,      1.31022889057949, 1.35138892750767, 2.17440400131014, 1.10983952182968,      1.9510043332774, 1.00181077128688, 1.08623091115154), PROX_HAWKER = c(0.53455823354733,      0.53455823354733, 0.463304434183495, 0.792644050178693, 0.561647681218514,      0.832920293493618, 0.608980172673109, 0.382898898882956,      0.264427923442986, 0.314632743063994, 0.259744380023822,      0.0623262564011618, 0.876506442172381, 0.196699811405185,      0.410023469086153, 1.08766938871094, 0.494234864614673, 0.940071074791988,      0.591883114810231, 0.368744432216956), PROX_MRT = c(1.36742764633517,      1.36742764633517, 1.31136747445593, 1.33157685526365, 1.63637339364314,      1.28588132880872, 1.73271025710532, 1.20430491709432, 1.392302848886,      1.14211364891441, 1.15842683571226, 1.09471398918577, 1.8917195123599,      1.09046737609619, 1.23646610314009, 1.9078610258369, 0.91242151857363,      1.69853939108909, 0.80807654444201, 0.78040997284139), PROX_PARK = c(0.486479545769779,      0.486479545769779, 0.594979546415276, 0.251058120460841,      0.443665461164749, 0.248039629274522, 0.464183104254495,      0.852996238213812, 0.728383914708498, 0.997953552798557,      1.00657829367171, 0.826294351272671, 0.516721166595223, 0.604882226694947,      0.375073916060521, 0.551504280527303, 1.09293299728603, 0.624691995850973,      1.13130385684233, 0.808282577864154), PROX_GOOD_PRISCH = c(0.819356328881161,      0.819356328881161, 0.89296386953394, 0.819366619188368, 0.550324531917386,      0.856849085387122, 0.447003801568155, 1.09467860924251, 0.689163418131917,      1.15731102426836, 1.12709017589061, 0.993301788551023, 0.213708578130609,      0.87937610392538, 0.706117631385061, 0.299143542468678, 1.4206810513637,      0.107363170703005, 1.51127824976447, 1.199846441039), PROX_MALL = c(0.3366209001709,      0.3366209001709, 0.357726596913911, 0.516143411126369, 0.190941194230935,      0.562952549426665, 0.217974225134877, 0.512358501951296,      0.12742430838485, 0.441630162720786, 0.464767570965945, 0.450275200033962,      0.493813340134231, 0.441232897113797, 0.445899708163642,      0.701652802220213, 0.220538248250442, 0.625847194134012,      0.114469773448463, 0.663851500718272), PROX_CHAS = c(0.232134688144963,      0.232134688144963, 0.263233285458842, 0.236682264577822,      0.190941257524933, 0.235419924819913, 0.217974279370684,      0.394471723674887, 0.127424254451578, 0.327465416824022,      0.272565000598528, 0.071192987667569, 0.36937911638564, 0.177420148260447,      0.0764125853219005, 0.242250716663617, 0.0703959269798554,      0.134178633248207, 0.0793642323922721, 0.0710453772718398     ), PROX_SUPERMARKET = c(0.232133828519976, 0.232133828519976,      0.263232243208913, 0.236682533577294, 0.19229406714866, 0.23542039277371,      0.216455869736569, 0.447614574279886, 0.129189539659537,      0.441631117888638, 0.464768447350912, 0.330151298165832,      0.359694409353041, 0.320748009942088, 0.158655939798418,      0.157554225694085, 0.220538485726081, 0.344381560072065,      0.114469867006585, 0.00115080458448496), WITHIN_350M_KINDERGARTEN = c(2L,      2L, 2L, 2L, 3L, 2L, 1L, 2L, 0L, 1L, 1L, 1L, 2L, 0L, 1L, 2L,      0L, 3L, 1L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L, 6L, 7L,      10L, 7L, 9L, 3L, 6L, 1L, 1L, 4L, 7L, 5L, 5L, 6L, 2L, 3L,      4L, 4L), WITHIN_350M_BUS = c(11L, 11L, 15L, 10L, 10L, 10L,      10L, 12L, 13L, 13L, 15L, 15L, 12L, 11L, 8L, 10L, 13L, 8L,      10L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 3L, 4L, 3L,      4L, 4L, 4L, 4L, 4L, 4L, 3L, 5L, 5L, 2L, 6L, 3L, 6L, 4L),          DNeighbour = c(0, 5.39812956335775, 112.589859330986,          259.242592265154, 270.696299797377, 297.962131221108,          371.515344123737, 373.576667897348, 381.116959658734,          518.401482467204, 525.959718225219, 573.363751459651,          656.29107783265, 682.248248848722, 765.475758573447,          815.682587979657, 839.925796443085, 888.631745962713,          894.241632970881, 903.382160769977)), row.names = c("734",      "942", "769", "614", "667", "360", "366", "975", "771", "718",      "577", "513", "780", "292", "755", "629", "627", "459", "866",      "967"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999928588882424,      0.969175260684088, 0.84207940417787, 0.828484635282164, 0.794259663471138,      0.69035153076629, 0.687227709964704, 0.675715312162853, 0.449840810567861,      0.436959954836603, 0.356616839800193, 0.222995113053035,      0.184598679103132, 0.0795282715787411, 0.0341266284512146,      0.018374374171009, 0.00104907171449043, 0.000405372349829512,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       987976740 
R squared (OOB):                  0.3369064 

$Forests[[735]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(550000, 492000, 507000,      515000, 480000, 518000, 455000, 420000, 475000, 592000, 635000,      335000, 370000, 335000, 330000, 340000, 355000, 405000, 330000,      315000), floor_area_sqm = c(105, 84, 105, 105, 84, 88, 95,      84, 89, 108, 105, 84, 92, 91, 91, 91, 91, 102, 82, 91), storey_order = c(3L,      4L, 2L, 2L, 1L, 3L, 2L, 2L, 1L, 2L, 4L, 2L, 4L, 3L, 4L, 1L,      3L, 3L, 4L, 1L), remaining_lease_mths = c(786, 788, 770,      762, 789, 770, 784, 777, 789, 810, 833, 791, 699, 754, 777,      786, 763, 928, 657, 722), PROX_CBD = c(7.59960912304084,      7.5632891932167, 7.67544881001386, 7.9455961592131, 7.1729887096531,      7.79515244158294, 7.49071683084666, 7.13486939655985, 7.05609226259357,      7.18468073982128, 7.22087947204147, 9.13853516155078, 8.34406204250889,      8.32334928378694, 9.37335060635629, 9.37335060635629, 9.41668106440496,      9.51108523911647, 6.06674643703895, 8.21547938057256), PROX_ELDERLYCARE = c(1.85656629786719,      1.91313469252559, 1.73611556579875, 1.77517839654503, 1.69705296801524,      1.83577537822547, 1.54524415115482, 1.66246099208497, 1.59520672965634,      1.63490637838594, 1.54373359073656, 1.86142420062345, 0.224798473876808,      0.163895949541214, 1.66235796621519, 1.66235796621519, 1.6892356184521,      1.80905665624389, 0.10409496222889, 0.425001866306461), PROX_HAWKER = c(1.04404154823438,      1.10032443578502, 0.926505356032751, 0.800389309546525, 1.25907896080059,      1.19066876388205, 0.996854886033364, 1.23225985170817, 1.17571504816288,      1.02937341390922, 1.05968958012269, 0.823671555860494, 0.308707066729857,      0.1672780527947, 0.823170476035045, 0.823170476035045, 0.864780296064508,      0.978663880778012, 0.346985863757343, 0.272525769496456),          PROX_MRT = c(0.492673618184051, 0.433934859087748, 0.617354557404891,          0.75069701440163, 0.428812034955963, 0.499752126280618,          0.34804043957783, 0.448181123975075, 0.487588773645627,          0.13577722868059, 0.206889953987817, 1.58022074581844,          1.14033242259394, 1.03738004469153, 2.01327082024864,          2.01327082024864, 2.02952953118228, 1.99882067476962,          1.1005845300218, 0.877462529610437), PROX_PARK = c(0.415297912555755,          0.474041874627479, 0.29052205197453, 0.364839433462782,          0.405529884687165, 0.723268787935639, 0.292176487074364,          0.367092279962757, 0.288106802683489, 0.802458220215738,          0.769170147627311, 0.533109662164166, 0.748901820021747,          0.839050716088865, 0.548771819269344, 0.548771819269344,          0.564264159971047, 0.674672834209049, 0.741200181243785,          0.34344129155164), PROX_GOOD_PRISCH = c(2.14133679267892,          2.17804686625686, 2.0690813845722, 1.79538098544694,          2.56840479702555, 1.9917971907287, 2.30076298730527,          2.60671936453148, 2.64150694603645, 2.6636605310312,          2.65891054731874, 0.605615063995802, 1.74338078296013,          1.6197212814627, 0.581790960048334, 0.581790960048334,          0.555662252109323, 0.439174603441127, 1.85819018299306,          2.64672046335999), PROX_MALL = c(0.472342316185911, 0.413593098419561,          0.59706101530086, 0.730136421618933, 0.42122511428052,          0.483735594398556, 0.79872232386887, 0.44210957307938,          0.487675149993812, 0.319563922107573, 0.389192825268572,          0.925377142856182, 0.813314037197816, 0.952850965311535,          0.835862391091354, 0.835862391091354, 0.873946799305891,          0.994410311642026, 1.22044581333525, 0.807676293785945         ), PROX_CHAS = c(0.0587537711423344, 5.15903103580734e-08,          0.183520259224292, 0.312128892467037, 0.364873472162596,          0.157541179554435, 0.204927614889482, 0.395328272461269,          0.464118937564998, 0.244287808759251, 0.201367273106442,          0.179557542480515, 0.347263729641395, 0.218034921212892,          0.240374554675797, 0.240374554675797, 0.248119447519373,          0.21913048386411, 0.252393584019624, 0.136581974857907         ), PROX_SUPERMARKET = c(0.121599745844786, 0.0709823460282706,          0.242167451420959, 0.390939423908347, 0.372543253077343,          0.305647853022819, 0.535956758401375, 0.392878094873427,          0.438288204779491, 0.350395790631763, 0.425467495913439,          0.223142170833011, 0.624544400837596, 0.502751024921131,          0.322141005481158, 0.322141005481158, 0.315469124538892,          0.21913043091083, 0.321431524942613, 0.281285688066644         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          0L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 0L, 0L, 1L, 2L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 5L, 4L, 3L, 2L,          3L, 4L, 3L, 6L, 7L, 3L, 1L, 1L, 2L, 2L, 2L, 4L, 2L, 2L         ), WITHIN_350M_BUS = c(8L, 9L, 8L, 7L, 8L, 10L, 4L, 7L,          5L, 12L, 11L, 11L, 5L, 4L, 5L, 5L, 6L, 7L, 6L, 8L), WITHIN_1KM_PRISCH = c(4L,          3L, 4L, 3L, 3L, 2L, 4L, 3L, 2L, 1L, 1L, 2L, 3L, 3L, 1L,          1L, 1L, 1L, 5L, 2L), DNeighbour = c(0, 53.1090850359728,          128.028403027344, 343.958809981392, 421.027636059584,          426.948900195767, 431.011340895155, 462.498371620328,          542.698865100301, 781.791206985864, 840.878664928682,          1543.69466416592, 1639.05005747032, 1743.30147091788,          1819.36970117587, 1819.98589105554, 1860.69773434412,          1945.22178035044, 1960.81089981846, 2016.21569233258)), row.names = c("735",      "829", "647", "345", "133", "209", "950", "82", "449", "370",      "344", "485", "204", "713", "334", "737", "725", "719", "628",      "691"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998612787605916,      0.991951921327422, 0.942640836916554, 0.914689295837303,      0.912328216660175, 0.910691057885112, 0.897529876553099,      0.860347314064545, 0.721902681430527, 0.682379609699126,      0.171227076730113, 0.115014920313159, 0.063704265931217,      0.0344959809427161, 0.034291367636025, 0.0219981082238347,      0.00478629942621798, 0.00293808051609548, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8891878374 
R squared (OOB):                  0.06504979 

$Forests[[736]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 368000, 360000,      435000, 335000, 333000, 371000, 380000, 420000, 410000, 432000,      305000, 323000, 415000, 280000, 310000, 319000, 388000, 365000,      349000), floor_area_sqm = c(102, 106, 99, 92, 100, 99, 100,      105, 92, 92, 92, 99, 91, 92, 90, 89, 101, 92, 92, 103), storey_order = c(3L,      3L, 3L, 4L, 4L, 3L, 2L, 2L, 1L, 2L, 4L, 4L, 2L, 2L, 3L, 1L,      4L, 1L, 1L, 2L), remaining_lease_mths = c(932, 952, 915,      1118, 927, 927, 918, 910, 1121, 1136, 1123, 930, 974, 1125,      958, 946, 950, 1134, 1135, 832), PROX_CBD = c(17.424297644009,      17.1751323002447, 17.6482187406162, 17.3261487576713, 17.5934100264964,      17.6933534103443, 17.9318121245061, 17.589085398281, 17.7152334804069,      17.7152334804069, 17.7152334804069, 17.5508688704121, 16.9744532057656,      17.7609329148819, 17.0860498579873, 17.0860498579873, 17.1356331652512,      17.8160591469996, 17.8160591469996, 18.0642207733449), PROX_ELDERLYCARE = c(0.332680427012888,      0.268202380119324, 0.399377154365588, 0.0820501598186151,      0.183364759720919, 0.174626049595048, 0.559180828327224,      0.387351173411546, 0.0982899037000713, 0.0982899037000713,      0.0982899037000713, 0.169110695114153, 0.669866762803474,      0.0656405943898966, 0.634635376150565, 0.634635376150565,      0.585213362825854, 0.101440000613482, 0.101440000613482,      0.558648465009425), PROX_HAWKER = c(1.2762396177499, 1.37649043343687,      1.11261554439583, 1.11394087375576, 0.860123145519879, 0.89059259132002,      1.18812307179958, 0.776912813652288, 0.815736811633103, 0.815736811633103,      0.815736811633103, 0.736171211400498, 1.16076193719705, 0.769612072642938,      0.984075399620173, 0.984075399620173, 0.905166107754752,      0.755409785256781, 0.755409785256781, 1.20831273824173),          PROX_MRT = c(0.484502150769697, 0.477350523334022, 0.417091391951799,          0.527347528775627, 0.675234243169572, 0.606842528225389,          0.256828620430729, 0.371614593402704, 0.674833365376197,          0.674833365376197, 0.674833365376197, 0.804998329325227,          0.434229027914827, 0.714624513867521, 0.610921595420819,          0.610921595420819, 0.689848925621533, 0.729659889526201,          0.729659889526201, 0.387700307898407), PROX_PARK = c(1.39102562335911,          1.53652128691969, 1.38656874841243, 1.2769930066147,          1.60355051242194, 1.49905344652453, 1.11695175135574,          0.925923962472294, 1.52614967260321, 1.52614967260321,          1.52614967260321, 1.71737354643835, 1.94357933186421,          1.52091098886828, 1.98249707589613, 1.98249707589613,          2.00545012030434, 1.49250729308795, 1.49250729308795,          1.04306097562022), PROX_GOOD_PRISCH = c(8.1609833985331,          7.92485948387043, 8.34983568407236, 8.12402124316527,          8.24279341902993, 8.34857469941546, 8.65275846320069,          8.43639308613493, 8.35538963357137, 8.35538963357137,          8.35538963357137, 8.17476856172454, 7.64555391975429,          8.39120163011403, 7.72567604662297, 7.72567604662297,          7.76178719780886, 8.44175881664207, 8.44175881664207,          8.76549326341746), PROX_MALL = c(0.394560370801339, 0.221509518429623,          0.439097430243665, 0.48073822857487, 0.188384425612312,          0.223321337745784, 0.417130987397582, 0.232188905247248,          0.158599011552442, 0.158599011552442, 0.158599011552442,          0.109574351562212, 0.199292924769147, 0.147411017927622,          0.314944256820634, 0.314944256820634, 0.382407895591973,          0.183177100903513, 0.183177100903513, 0.424594513900518         ), PROX_CHAS = c(0.265229996652697, 0.166686655025282,          0.414359256629807, 0.111581872390774, 0.151781240761386,          0.21485891447712, 0.259891808560044, 0.0713809516165408,          0.158598978424062, 0.158598978424062, 0.158598978424062,          0.048268048492383, 0.199292963025488, 0.14741100268466,          0.250499161266826, 0.250499161266826, 0.257714074421561,          0.183177099178452, 0.183177099178452, 0.124680964632411         ), PROX_SUPERMARKET = c(0.265230176390619, 0.166252253534119,          0.441697647833666, 0.111582815761828, 0.209139790637019,          0.218378438252518, 0.438907970807184, 0.238177195426237,          0.144345834884574, 0.144345834884574, 0.144345834884574,          0.15801430638391, 0.25551504160041, 0.113022549454425,          0.250499698074938, 0.250499698074938, 0.257714572429151,          0.137568853383185, 0.137568853383185, 0.424593495373258         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 2L,          1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 4L, 3L, 3L, 6L, 5L,          3L, 2L, 6L, 6L, 6L, 7L, 6L, 8L, 6L, 6L, 5L, 8L, 8L, 2L         ), WITHIN_350M_BUS = c(9L, 10L, 9L, 8L, 12L, 13L, 9L,          8L, 12L, 12L, 12L, 12L, 13L, 10L, 11L, 11L, 11L, 15L,          15L, 7L), WITHIN_1KM_PRISCH = c(5L, 5L, 7L, 5L, 8L, 8L,          7L, 5L, 7L, 7L, 7L, 6L, 4L, 6L, 4L, 4L, 4L, 6L, 6L, 6L         ), DNeighbour = c(0, 250.870259163358, 256.496161140436,          265.077903260437, 428.573737298541, 442.293629295173,          504.14768126879, 510.227389235876, 511.023734847349,          517.551124840664, 520.33070077535, 541.38025371621, 572.227882507561,          583.903053717773, 592.544531302328, 595.874383807385,          624.06468914675, 626.907084034054, 629.908393356184,          646.01496644995)), row.names = c("736", "658", "891",      "372", "419", "112", "976", "464", "289", "13", "298", "438",      "902", "365", "704", "685", "99", "53", "402", "773"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.721133647858765, 0.709564160234674, 0.691610273750625,      0.313471464065904, 0.282232379043267, 0.152866638894267,      0.141529675114339, 0.140067240492802, 0.128284328436235,      0.123380369527708, 0.0886281832758251, 0.0463936047411558,      0.0335067124069067, 0.0251820375188308, 0.0222625157586559,      0.00446243212075009, 0.0033967096213685, 0.00242485154181685,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1015701055 
R squared (OOB):                  0.488604 

$Forests[[737]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 330000, 355000,      405000, 408000, 335000, 418888, 389000, 373000, 330000, 376000,      390000, 325000, 398000, 485000, 455000, 375000, 369000, 350000,      360000), floor_area_sqm = c(91, 91, 91, 102, 100, 84, 100,      103, 103, 84, 101, 101, 84, 100, 93, 93, 90, 94, 92, 104),          storey_order = c(1L, 4L, 3L, 3L, 5L, 2L, 2L, 2L, 1L,          4L, 2L, 4L, 5L, 2L, 7L, 3L, 5L, 5L, 1L, 2L), remaining_lease_mths = c(786,          777, 763, 928, 916, 791, 932, 863, 870, 806, 948, 932,          812, 924, 1137, 1139, 946, 942, 714, 804), PROX_CBD = c(9.37335060635629,          9.37335060635629, 9.41668106440496, 9.51108523911647,          9.71665400465424, 9.13853516155078, 9.64941173000682,          9.90721965789512, 9.95029435977204, 9.63621863936401,          10.1515839247586, 10.247812625002, 9.87023127008802,          10.2027088676681, 10.5587309121129, 10.5974154418399,          10.5038890156487, 10.5038890156487, 9.56457497404925,          10.0879656312395), PROX_ELDERLYCARE = c(1.66235796621519,          1.66235796621519, 1.6892356184521, 1.80905665624389,          1.86385802759073, 1.86142420062345, 1.9510043332774,          2.17440400131014, 2.09611483432966, 1.48805339077067,          1.93850967877536, 1.89270432318243, 1.35138892750767,          1.63738856945076, 1.80931542236799, 1.80859644276987,          1.64894906385774, 1.64894906385774, 1.08567795373645,          1.31022889057949), PROX_HAWKER = c(0.823170476035045,          0.823170476035045, 0.864780296064508, 0.978663880778012,          1.14805608329678, 0.823671555860494, 0.940071074791988,          1.08766938871094, 0.876506442172381, 0.677896697868769,          0.608980172673109, 0.561647681218514, 0.410023469086153,          0.264427923442986, 0.792644050178693, 0.832920293493618,          0.53455823354733, 0.53455823354733, 0.44425153291851,          0.196699811405185), PROX_MRT = c(2.01327082024864, 2.01327082024864,          2.02952953118228, 1.99882067476962, 2.10187463598542,          1.58022074581844, 1.69853939108909, 1.9078610258369,          1.8917195123599, 1.32502198166586, 1.73271025710532,          1.63637339364314, 1.23646610314009, 1.392302848886, 1.33157685526365,          1.28588132880872, 1.36742764633517, 1.36742764633517,          1.06652131186481, 1.09046737609619), PROX_PARK = c(0.548771819269344,          0.548771819269344, 0.564264159971047, 0.674672834209049,          0.706984478917025, 0.533109662164166, 0.624691995850973,          0.551504280527303, 0.516721166595223, 0.202594030185392,          0.464183104254495, 0.443665461164749, 0.375073916060521,          0.728383914708498, 0.251058120460841, 0.248039629274522,          0.486479545769779, 0.486479545769779, 0.829152657918636,          0.604882226694947), PROX_GOOD_PRISCH = c(0.581790960048334,          0.581790960048334, 0.555662252109323, 0.439174603441127,          0.494123442243702, 0.605615063995802, 0.107363170703005,          0.299143542468678, 0.213708578130609, 0.53169554186008,          0.447003801568155, 0.550324531917386, 0.706117631385061,          0.689163418131917, 0.819366619188368, 0.856849085387122,          0.819356328881161, 0.819356328881161, 1.87441197950121,          0.87937610392538), PROX_MALL = c(0.835862391091354, 0.835862391091354,          0.873946799305891, 0.994410311642026, 1.00609620967541,          0.925377142856182, 0.625847194134012, 0.701652802220213,          0.493813340134231, 0.564979440463645, 0.217974225134877,          0.190941194230935, 0.445899708163642, 0.12742430838485,          0.516143411126369, 0.562952549426665, 0.3366209001709,          0.3366209001709, 1.18499732413142, 0.441232897113797),          PROX_CHAS = c(0.240374554675797, 0.240374554675797, 0.248119447519373,          0.21913048386411, 0.0862664572880411, 0.179557542480515,          0.134178633248207, 0.242250716663617, 0.36937911638564,          0.204909081807225, 0.217974279370684, 0.190941257524933,          0.0764125853219005, 0.127424254451578, 0.236682264577822,          0.235419924819913, 0.232134688144963, 0.232134688144963,          0.358325278319411, 0.177420148260447), PROX_SUPERMARKET = c(0.322141005481158,          0.322141005481158, 0.315469124538892, 0.21913043091083,          0.0862669641327853, 0.223142170833011, 0.344381560072065,          0.157554225694085, 0.359694409353041, 0.145410708854306,          0.216455869736569, 0.19229406714866, 0.158655939798418,          0.129189539659537, 0.236682533577294, 0.23542039277371,          0.232133828519976, 0.232133828519976, 0.418420374852224,          0.320748009942088), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 1L, 0L, 2L,          2L, 2L, 2L, 1L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 4L, 8L, 3L, 3L, 6L, 7L, 3L, 9L, 10L, 5L, 6L, 7L,          7L, 5L, 5L, 2L, 5L), WITHIN_350M_BUS = c(5L, 5L, 6L,          7L, 8L, 11L, 8L, 10L, 12L, 7L, 10L, 10L, 8L, 13L, 10L,          10L, 11L, 11L, 4L, 11L), WITHIN_1KM_PRISCH = c(1L, 1L,          1L, 1L, 1L, 2L, 3L, 2L, 3L, 3L, 4L, 4L, 5L, 4L, 3L, 3L,          4L, 4L, 1L, 5L), DNeighbour = c(0, 0.921934738798022,          40.9081464426925, 155.321495046168, 338.97863352471,          438.459180690399, 569.787423733762, 570.60685920941,          703.644615718258, 993.56409587395, 1002.88060084326,          1100.19622804706, 1239.44750309863, 1269.31186982754,          1292.7483798466, 1320.73209592164, 1358.96174172312,          1359.71015358022, 1398.37493168542, 1441.3418133346)), row.names = c("737",      "334", "725", "719", "879", "485", "459", "629", "780", "189",      "366", "667", "755", "771", "614", "360", "942", "734", "197",      "292"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99999918173063,      0.998389574373676, 0.976909669069936, 0.892437507045354,      0.823485635712198, 0.711870515679934, 0.711111675118581,      0.580146160224783, 0.275436430118851, 0.266118987818705,      0.174182611390165, 0.0678743346047713, 0.0503834869307318,      0.0382434415020867, 0.025713858402411, 0.0123306681800373,      0.0121141136338008, 0.00344944935623365, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1271631887 
R squared (OOB):                  0.285335 

$Forests[[738]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 295000, 320000,      288000, 312000, 336000, 330000, 330000, 315000, 338000, 295000,      305000, 315000, 349000, 345000, 388000, 365000, 350000, 313000,      339000), floor_area_sqm = c(104, 84, 84, 84, 101, 102, 115,      103, 103, 102, 101, 99, 102, 103, 102, 92, 92, 102, 99, 102     ), storey_order = c(4L, 4L, 4L, 3L, 2L, 3L, 1L, 1L, 2L, 4L,      1L, 1L, 2L, 2L, 4L, 1L, 1L, 4L, 4L, 3L), remaining_lease_mths = c(893,      875, 885, 893, 933, 916, 898, 928, 926, 922, 917, 921, 913,      832, 926, 1134, 1135, 923, 918, 923), PROX_CBD = c(18.4249149071789,      18.4249149071789, 18.3433564216417, 18.3632948597919, 18.4625985868209,      18.5506225538857, 18.4399301385868, 18.5768909080638, 18.5458637520931,      18.1611534549189, 18.4986491838169, 17.9733391318796, 17.9994058772431,      18.0642207733449, 18.236688278315, 17.8160591469996, 17.8160591469996,      18.0569924715364, 17.8728040148932, 17.9456645257603), PROX_ELDERLYCARE = c(0.705240184131779,      0.705240184131779, 0.623669944895056, 0.645296274244347,      0.765079897684544, 0.859723249528503, 0.789710764787337,      0.912532633143698, 0.890661700747245, 0.519233937445895,      0.86418951980865, 0.376016337241346, 0.430537495183344, 0.558648465009425,      0.732088251039709, 0.101440000613482, 0.101440000613482,      0.59750504274373, 0.330981516384048, 0.476454782767532),          PROX_HAWKER = c(1.0161652570538, 1.0161652570538, 0.960648791795978,          0.921741667576702, 0.906262708365532, 0.958117298193611,          1.26661829972954, 0.935860141611343, 0.898999046399804,          0.617364695979906, 0.838043969781633, 0.501520555884575,          0.472244893923117, 1.20831273824173, 0.537987121264097,          0.755409785256781, 0.755409785256781, 0.391180253405874,          0.446535534086157, 0.3648710200987), PROX_MRT = c(0.906393011935236,          0.906393011935236, 0.899458799363821, 0.927224403125457,          0.897303014326537, 0.942174684471822, 0.715824290886542,          0.912233851204259, 0.87509641959225, 0.623413162025338,          0.812751343363136, 0.52882455357406, 0.492638498779759,          0.387700307898407, 0.511061821383635, 0.729659889526201,          0.729659889526201, 0.384524332485438, 0.4868918768976,          0.385567417899789), PROX_PARK = c(1.13759587953072, 1.13759587953072,          1.17596756648915, 1.22890358268929, 1.31620863428189,          1.32670572464855, 0.859791414716402, 1.41172869826724,          1.4387346144793, 1.52418818882418, 1.49181484955502,          1.62685700377268, 1.65421298847909, 1.04306097562022,          1.7164330470264, 1.49250729308795, 1.49250729308795,          1.77011013021076, 1.69875568186822, 1.76180373116006),          PROX_GOOD_PRISCH = c(9.03817471771729, 9.03817471771729,          8.95760590087653, 8.96505409295358, 9.04019528068803,          9.12094588228633, 9.10971468714541, 9.13217936844248,          9.09837600782165, 8.72758527833631, 9.04519470993137,          8.54142359534323, 8.5589292690065, 8.76549326341746,          8.76378557853615, 8.44175881664207, 8.44175881664207,          8.58956131155308, 8.43952013253886, 8.49089982759618),          PROX_MALL = c(0.204519313237763, 0.204519313237763, 0.22079632378696,          0.282416841692855, 0.414588198127445, 0.46921205797367,          0.107021299056373, 0.390092702495136, 0.359721010486642,          0.475604736810637, 0.305101649121832, 0.395841490391381,          0.446560923090423, 0.424594513900518, 0.240339889961931,          0.183177100903513, 0.183177100903513, 0.407254736414821,          0.330972758922268, 0.428159644756295), PROX_CHAS = c(0.20451929737041,          0.20451929737041, 0.167893491583302, 0.231219576578415,          0.399223798550346, 0.469212052170377, 0.107021320216693,          0.390092699752756, 0.359721009550721, 0.405258493214775,          0.305101651313883, 0.364030465322827, 0.324811070171065,          0.124680964632411, 0.184864523484869, 0.183177099178452,          0.183177099178452, 0.222103720735081, 0.330972805611547,          0.218909691095897), PROX_SUPERMARKET = c(0.204519239868594,          0.204519239868594, 0.220795796105544, 0.282416494634945,          0.414588227521533, 0.469212308573368, 0.107021556198121,          0.390093045846372, 0.359721304530864, 0.475604214408431,          0.305101855713295, 0.356071330024396, 0.408691343873882,          0.424593495373258, 0.240339157209448, 0.137568853383185,          0.137568853383185, 0.385535197909366, 0.300218301814749,          0.365864675212809), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L,          2L, 2L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(7L, 7L,          8L, 8L, 6L, 6L, 4L, 5L, 5L, 5L, 6L, 3L, 4L, 2L, 6L, 8L,          8L, 4L, 4L, 3L), WITHIN_350M_BUS = c(9L, 9L, 8L, 8L,          8L, 8L, 7L, 9L, 9L, 10L, 9L, 11L, 9L, 7L, 7L, 15L, 15L,          9L, 8L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 5L,          5L, 3L, 4L, 4L, 6L, 4L, 7L, 7L, 6L, 6L, 6L, 6L, 6L, 7L,          6L), DNeighbour = c(0, 7.03656316972185, 82.9864075736119,          89.0186898088699, 206.989495721985, 275.960191257282,          314.612238975357, 367.295126798819, 379.229226004788,          396.607434006812, 401.876711384292, 544.16982599183,          555.623241788434, 563.097521409157, 580.155541560595,          613.022502035155, 616.421485340323, 633.657103208647,          638.912582048618, 658.62707088615)), row.names = c("738",      "265", "953", "864", "729", "291", "247", "828", "576", "330",      "684", "179", "177", "773", "227", "53", "402", "491", "992",      "20"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999771730841943,      0.96850050175093, 0.963798360819215, 0.812218626273848, 0.679709213330085,      0.595710575610301, 0.474730089040147, 0.446850496242467,      0.406263064161275, 0.393992773148731, 0.100719338569946,      0.0831313587097086, 0.0723875341181838, 0.0502176200816434,      0.0178728289699636, 0.0153898716902394, 0.00553342086655531,      0.0034773948873652, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       750556974 
R squared (OOB):                  -0.2164826 

$Forests[[739]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(460000, 420000, 350000,      365000, 320000, 395000, 306000, 345000, 335000, 428000, 316000,      304000, 330000, 345888, 342000, 355000, 358888, 320000, 312000,      360000), floor_area_sqm = c(105, 104, 106, 105, 104, 107,      109, 92, 90, 98, 104, 104, 107, 104, 94, 94, 91, 104, 107,      103), storey_order = c(4L, 4L, 2L, 2L, 2L, 2L, 1L, 2L, 1L,      3L, 1L, 2L, 3L, 4L, 1L, 1L, 3L, 2L, 1L, 1L), remaining_lease_mths = c(770,      774, 781, 771, 772, 755, 773, 742, 731, 730, 777, 776, 776,      763, 747, 1071, 763, 779, 779, 777), PROX_CBD = c(15.1689870500438,      15.0460728336845, 15.2518600651656, 14.8222691165004, 16.0390890659677,      15.936744569076, 16.2343575305192, 13.8901285505698, 13.8901285505698,      14.0949321583848, 13.8730731524118, 13.8730731524118, 16.4773488158513,      16.5598581376431, 13.7770670669378, 15.3735649652411, 13.6826822978472,      16.6890813896757, 16.6890813896757, 13.7231688188033), PROX_ELDERLYCARE = c(0.235447740717014,      0.0734543941007858, 0.341160576506438, 0.151522520392741,      0.520751571920202, 0.526555480516014, 0.63095091801206, 0.540311266279695,      0.540311266279695, 1.07365166923746, 0.192118066579221, 0.192118066579221,      0.393080972860029, 0.633922933695123, 0.919307603677702,      0.0572763643156628, 0.000158780971194199, 0.296144426041885,      0.296144426041885, 0.681177733621966), PROX_HAWKER = c(0.493984449855749,      0.321243604465073, 0.711147803357143, 0.189112683951821,      0.601123999453785, 0.44834457013621, 0.355821892612055, 0.213123049695643,      0.213123049695643, 0.516176882783883, 0.635045114374877,      0.635045114374877, 0.170796598263111, 0.402483389428837,      0.478671478091809, 0.371848396937832, 0.699744847940348,      0.360513691606501, 0.360513691606501, 0.601426993813282),          PROX_MRT = c(0.840089990200814, 0.667161579318597, 1.05589835680014,          0.506610369321483, 0.965829261077996, 0.239432195714991,          0.864165890870668, 0.793013171832836, 0.793013171832836,          0.499812381699912, 0.865482366580506, 0.865482366580506,          0.826410504821953, 1.05011238745279, 0.771349314593772,          0.753708157385654, 0.751023886560838, 0.937471590679814,          0.937471590679814, 0.498221170198522), PROX_PARK = c(1.48925201971724,          1.32178658469093, 1.72109509304533, 1.20591145519053,          1.48305338833506, 0.747611444367071, 1.34373269803231,          1.23128896715218, 1.23128896715218, 0.62523741493865,          1.73324375775577, 1.73324375775577, 1.2054653508424,          1.45762221914422, 0.941140572803456, 0.535685352466539,          1.77145949687945, 1.20981147430356, 1.20981147430356,          1.26781451063295), PROX_GOOD_PRISCH = c(4.81784539373378,          4.66454637236311, 4.96507368960908, 4.44405903659268,          5.64743379607767, 5.39194564581962, 5.7932792467937,          3.56420611596829, 3.56420611596829, 3.57828936266804,          3.76914808697313, 3.76914808697313, 5.97835326648125,          6.10793998843997, 3.3146343023011, 4.72825571795328,          3.58938982364218, 6.16175607197734, 6.16175607197734,          3.673854441535), PROX_MALL = c(1.93173107331603, 1.83033637772351,          2.06076738363197, 1.74752862756084, 1.36185056241102,          0.942416713928675, 1.10378372306907, 1.05377974643614,          1.05377974643614, 0.812049880186, 0.861712986146148,          0.861712986146148, 0.76724723438711, 0.973625110866692,          0.672803550263317, 0.408391974099547, 0.770100764029299,          0.571849863617429, 0.571849863617429, 0.406890039239853         ), PROX_CHAS = c(0.22714457633909, 0.0544168696099871,          0.453299264887269, 0.191193294854487, 0.205355834952608,          0.145251548786172, 0.289709096170644, 0.0812638133573676,          0.0812638133573676, 0.135156069731972, 0.0967538959757692,          0.0967538959757692, 0.09463300161804, 0.306725496117186,          0.0886717393158711, 0.289984207596008, 0.110149755252424,          0.332465298200207, 0.332465298200207, 0.176857487498571         ), PROX_SUPERMARKET = c(0.459690883388295, 0.286721618184596,          0.644027759940317, 0.188017328828043, 0.352842931529878,          0.434198104817495, 0.132128014198024, 0.082811926566736,          0.082811926566736, 0.352618767904154, 0.094684564379848,          0.094684564379848, 0.108262733037825, 0.252218317780421,          0.334979160094168, 0.406388098650168, 0.11210687568128,          0.204374831829505, 0.204374831829505, 0.270532795629183         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 0L, 1L, 1L, 0L,          0L, 1L, 1L, 0L, 2L, 2L, 3L, 2L, 1L, 2L, 2L, 3L, 3L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 0L, 2L, 6L, 2L,          8L, 4L, 4L, 1L, 3L, 3L, 6L, 5L, 3L, 4L, 3L, 3L, 3L, 4L         ), WITHIN_350M_BUS = c(4L, 5L, 6L, 6L, 7L, 7L, 9L, 4L,          4L, 9L, 8L, 8L, 9L, 5L, 10L, 12L, 9L, 9L, 9L, 8L), WITHIN_1KM_PRISCH = c(2L,          1L, 1L, 2L, 2L, 4L, 2L, 4L, 4L, 2L, 2L, 2L, 3L, 2L, 2L,          1L, 2L, 4L, 4L, 3L), DNeighbour = c(0, 169.064169002838,          235.850893652371, 377.942198289093, 870.928779863259,          1062.41710722075, 1078.67076094846, 1287.67840991117,          1288.49111747756, 1300.59128856977, 1355.60645314203,          1360.41289038055, 1383.71829862138, 1408.42140037095,          1507.01105438602, 1520.67864930501, 1533.45112587993,          1627.85019519331, 1632.64794682367, 1816.59445340291)), row.names = c("739",      "256", "109", "64", "751", "423", "468", "214", "90", "25",      "230", "36", "107", "883", "337", "601", "1000", "328", "497",      "960"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.982752256027879,      0.966571776575316, 0.915304090856126, 0.593127102678576,      0.43291421693159, 0.419148270485102, 0.247549083459076, 0.246918160332063,      0.237573588437529, 0.196367077115189, 0.192876785720659,      0.17623015978298, 0.15911841066766, 0.0972170264009728, 0.0895545965613138,      0.0826194234048334, 0.0388109240172589, 0.0369656702872812,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1179780341 
R squared (OOB):                  0.3501006 

$Forests[[740]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 355000, 340000,      402000, 315000, 370000, 310000, 315000, 320800, 302500, 320000,      315000, 313000, 358000, 310000, 318000, 327000, 416000, 275000,      387008), floor_area_sqm = c(96, 93, 91, 93, 91, 93, 91, 97,      92, 93, 93, 104, 84, 91, 84, 84, 84, 98, 84, 97), storey_order = c(1L,      4L, 2L, 4L, 3L, 1L, 3L, 3L, 1L, 2L, 3L, 4L, 4L, 1L, 3L, 1L,      1L, 4L, 1L, 2L), remaining_lease_mths = c(772, 761, 782,      762, 774, 782, 774, 746, 965, 764, 762, 777, 772, 760, 806,      785, 802, 779, 807, 775), PROX_CBD = c(16.0124832316584,      16.1297617902268, 16.0688727275577, 15.8715793299193, 16.1626205207603,      15.9422949327985, 16.3680873997092, 16.179026897848, 16.3149444157129,      15.7384939989151, 15.7384939989151, 15.5029529482698, 15.5029529482698,      15.6053010835868, 16.5546706157429, 15.4237712873611, 15.395293903354,      16.1674221276903, 15.555826242216, 15.8742411347238), PROX_ELDERLYCARE = c(1.41328722649904,      1.29938230642316, 1.20623153653763, 1.28212929908789, 1.55788424655444,      1.09392979000114, 1.42545230549203, 1.73064849730919, 1.76400828031834,      1.81389464514152, 1.81389464514152, 1.60634233373903, 1.60634233373903,      1.18278326755006, 1.28388145020366, 1.66429806880172, 1.48326161455178,      0.762025473923165, 1.98144426857027, 0.784609866943175),          PROX_HAWKER = c(0.231474226543029, 0.335840869363962,          0.426544691499688, 0.428166805124, 0.113648031708615,          0.571238530927929, 0.369132496020862, 0.141690035201285,          0.267171899978326, 0.367446283592148, 0.367446283592148,          0.592613874358246, 0.592613874358246, 0.745618024005524,          0.634516033073404, 0.663653920640621, 0.763118949388798,          0.872582424517839, 0.587918588004233, 0.921851461637316         ), PROX_MRT = c(0.526610558032509, 0.514969181151661,          0.406145228037129, 0.326170963259121, 0.733071345608223,          0.22642613478059, 0.767751604782153, 0.887672461516919,          0.980548762507945, 0.817431272071058, 0.817431272071058,          0.579811001445256, 0.579811001445256, 0.180817781363956,          0.786543604226707, 0.641519249244255, 0.486709870425329,          0.447065767326062, 0.961984472446029, 0.243577544220952         ), PROX_PARK = c(0.641040622161513, 0.709135847201637,          0.697314652170583, 0.729541055973412, 0.622244080025509,          0.749126986336644, 0.655349613079545, 0.539742315344257,          0.504828773517413, 0.197322246351151, 0.197322246351151,          0.518465718930498, 0.518465718930498, 0.580682002012541,          0.413578796610442, 0.527546900647844, 0.736647900507106,          0.490935310554108, 0.155244626205508, 0.457440234531046         ), PROX_GOOD_PRISCH = c(6.39414010271149, 6.52049985370614,          6.46919552361138, 6.26806838260706, 6.53246509089368,          6.35759010380229, 6.74866006620563, 6.53838177865997,          6.672975925328, 6.09593783675615, 6.09593783675615, 5.8805780078001,          5.8805780078001, 6.02648848177283, 6.95112153433386,          5.79932453842233, 5.79164197089728, 6.62018800412964,          5.90755023148013, 6.33578781760894), PROX_MALL = c(0.598952481573277,          0.568960814514176, 0.45653839484425, 0.405953132327172,          0.800586392071248, 0.275355858531219, 0.812249060303789,          0.960112961135972, 0.965701391482886, 0.906877360376741,          0.906877360376741, 0.667352945771092, 0.667352945771092,          0.252610517585887, 0.809678350084408, 0.726704111983395,          0.561468969675593, 0.402318259451987, 1.05229171505891,          0.159478773824134), PROX_CHAS = c(0.191204296760245,          0.215228497760129, 0.123235071398074, 0.170717118999449,          0.107377285719627, 0.101928728560798, 0.317481852326526,          0.0821179618758864, 0.215258950862385, 0.184740133551779,          0.184740133551779, 0.128101303359069, 0.128101303359069,          0.0925674017483885, 0.102023856475547, 0.11942955396425,          0.1019571402223, 0.277543603442508, 0.0651877268759985,          0.159478805927642), PROX_SUPERMARKET = c(0.214004200599592,          0.353026966783941, 0.399183655269817, 0.323117190327721,          0.191669323632479, 0.218983947734938, 0.442251956603444,          0.224545288466622, 0.357579925001748, 0.287892528450529,          0.287892528450529, 0.314517101025506, 0.314517101025506,          0.188530812320699, 0.57240719914765, 0.307102160965552,          0.0953919744611677, 0.277543419111335, 0.511049564140858,          0.159478664733051), WITHIN_350M_KINDERGARTEN = c(3L,          1L, 1L, 1L, 3L, 1L, 1L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 2L,          1L, 1L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(4L, 3L,          3L, 2L, 5L, 2L, 2L, 3L, 1L, 7L, 7L, 2L, 2L, 5L, 2L, 3L,          2L, 3L, 6L, 5L), WITHIN_350M_BUS = c(8L, 8L, 9L, 8L,          9L, 8L, 8L, 8L, 8L, 10L, 10L, 10L, 10L, 10L, 10L, 11L,          9L, 6L, 7L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 5L, 4L, 4L, 5L,          1L, 6L), DNeighbour = c(0, 154.254730492995, 211.091867172531,          212.565564327369, 213.240437396215, 336.883626153343,          358.600072637269, 360.370603031241, 453.344505704826,          459.390804364886, 459.594613889282, 513.898124019595,          515.324981645624, 540.18920525967, 569.996033151341,          594.410600848426, 630.560257683386, 659.244938405003,          667.552423545298, 694.638061705756)), row.names = c("740",      "184", "804", "294", "335", "708", "198", "336", "980", "437",      "803", "162", "587", "143", "22", "293", "556", "351", "426",      "83"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.90380611605192,      0.823832787642518, 0.821485610938797, 0.820406405826652,      0.584914619359243, 0.53801650603421, 0.534153338889985, 0.329554866484043,      0.316554270798838, 0.316117634144992, 0.204924209612355,      0.202177977375016, 0.156223912857363, 0.106714758291416,      0.0716931688734307, 0.0309701057198241, 0.00986201692760048,      0.00584681732253173, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       610455696 
R squared (OOB):                  0.5343272 

$Forests[[741]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(433000, 416000, 395000,      365000, 415000, 420000, 4e+05, 428000, 258000, 418000, 367000,      412000, 315000, 4e+05, 4e+05, 288000, 285000, 420000, 370000,      310000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      84, 92, 92, 92, 84, 92, 92, 84, 84, 92, 92, 84), storey_order = c(4L,      4L, 2L, 1L, 5L, 5L, 2L, 4L, 1L, 5L, 1L, 5L, 3L, 2L, 3L, 1L,      3L, 3L, 1L, 2L), remaining_lease_mths = c(1130, 1140, 1146,      1137, 1144, 1143, 1130, 1140, 781, 1138, 1137, 1144, 804,      1137, 1143, 770, 776, 1144, 1146, 811), PROX_CBD = c(16.055983361932,      16.055983361932, 16.0046521285213, 16.0046521285213, 15.9533618390172,      16.1537572283104, 16.1976566517324, 16.1831859860721, 16.1631400386504,      16.0903666266177, 16.0903666266177, 16.0903666266177, 15.9050437012323,      16.0475930141239, 16.0475930141239, 16.2681803933938, 16.2311391435218,      15.9392575628934, 15.87024444961, 15.7493840144196), PROX_ELDERLYCARE = c(0.146417557277997,      0.146417557277997, 0.20718686492254, 0.20718686492254, 0.251148223850536,      0.0462823216560119, 9.89208662673193e-07, 0.0701319802482612,      0.194171564025932, 0.179967723198436, 0.179967723198436,      0.179967723198436, 0.346730428331521, 0.129564145964732,      0.129564145964732, 0.20801878428071, 0.252142982647588, 0.0436662178849567,      0.10693627682917, 0.392042381698264), PROX_HAWKER = c(0.897672222950446,      0.897672222950446, 0.855932206484513, 0.855932206484513,      0.802087399746937, 0.986028325459381, 1.03146250928298, 1.00994702859189,      1.03995728027003, 0.9143232220583, 0.9143232220583, 0.9143232220583,      0.79668564149145, 0.872301448799324, 0.872301448799324, 1.14155805943316,      1.12300848995143, 0.765854363537175, 0.694651515851724, 0.617009737136425     ), PROX_MRT = c(0.936151237003446, 0.936151237003446, 0.883219311345816,      0.883219311345816, 0.8851452059773, 1.02112351286352, 1.02706758196582,      1.08237519657155, 0.842728374229233, 1.13213387762555, 1.13213387762555,      1.13213387762555, 0.750476153315833, 1.14436247830993, 1.14436247830993,      0.896888955057001, 0.830985280221221, 1.14464062157712, 1.09555222562317,      0.825478596695925), PROX_PARK = c(0.683762717294504, 0.683762717294504,      0.619767633008914, 0.619767633008914, 0.589052524814441,      0.793519520304926, 0.822565203699192, 0.848434833813522,      0.707513815343702, 0.83568858459355, 0.83568858459355, 0.83568858459355,      0.475878847958935, 0.824988291997923, 0.824988291997923,      0.750067315759091, 0.723677668737743, 0.777956069134633,      0.707790886000148, 0.423881452963658), PROX_GOOD_PRISCH = c(6.63421015362065,      6.63421015362065, 6.57618460349959, 6.57618460349959, 6.52939634907869,      6.74044920052795, 6.78043949525415, 6.78038310261662, 6.70927938580052,      6.70919168347838, 6.70919168347838, 6.70919168347838, 6.45664561130608,      6.67335529701902, 6.67335529701902, 6.81173689796023, 6.76533990958697,      6.57394481891556, 6.49806658702102, 6.32317863359129), PROX_MALL = c(0.118546137622893,      0.118546137622893, 0.110811660449771, 0.110811660449771,      0.161178852361569, 0.180580587241737, 0.189710317758296,      0.241735562355662, 0.0870960802892481, 0.311149009276151,      0.311149009276151, 0.311149009276151, 0.18299798168314, 0.339403259296736,      0.339403259296736, 0.188162247463955, 0.175221521556568,      0.391567182053879, 0.388975340293238, 0.340817581482914),          PROX_CHAS = c(0.110329053122027, 0.110329053122027, 0.114687044901222,          0.114687044901222, 0.165813590617473, 0.0922372285822684,          0.0868060808909073, 0.148113838308576, 0.081875317774622,          0.215238065300109, 0.215238065300109, 0.215238065300109,          0.190026772642962, 0.16574506375663, 0.16574506375663,          0.160774225575301, 0.170601730776313, 0.0895372628546906,          0.140210421841136, 0.347229964463676), PROX_SUPERMARKET = c(0.123371553336512,          0.123371553336512, 0.112847248683738, 0.112847248683738,          0.162291812321236, 0.186806037215644, 0.195853508350489,          0.247969406526707, 0.0873208554119548, 0.316789996913415,          0.316789996913415, 0.316789996913415, 0.179336240856332,          0.344658205065017, 0.344658205065017, 0.189660657064324,          0.137275095711229, 0.354688671920554, 0.287679129281494,          2.98731019421495e-07), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 3L, 8L, 8L, 7L, 6L, 2L, 2L, 2L, 4L, 2L, 2L, 6L,          5L, 3L, 4L, 5L), WITHIN_350M_BUS = c(7L, 7L, 7L, 7L,          8L, 7L, 7L, 7L, 11L, 8L, 8L, 8L, 8L, 9L, 9L, 11L, 10L,          9L, 8L, 7L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 5L,          4L, 5L, 4L, 5L, 4L, 4L, 4L, 6L, 4L, 4L, 5L, 5L, 4L, 4L,          6L), DNeighbour = c(0, 4.7284368266095, 65.3619117817237,          67.5218657043652, 102.903500534106, 106.493432406436,          149.90050603693, 162.723574856188, 183.380818927262,          199.602064899033, 204.224372613338, 204.333369172153,          208.083640582724, 225.223952827428, 225.916541185705,          259.370580446706, 273.170802331698, 275.416317820013,          281.015615927184, 307.414840878637)), row.names = c("741",      "538", "408", "594", "124", "869", "427", "661", "872", "249",      "161", "919", "59", "440", "28", "798", "945", "517", "582",      "956"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999526887806149,      0.911630836536935, 0.905840350664701, 0.788455762947344,      0.774392829594338, 0.580995006536474, 0.518127678448438,      0.414938526703325, 0.334569246783765, 0.312109862544489,      0.311583582236148, 0.293580244656262, 0.214592043256723,      0.211539783176546, 0.0830273252937011, 0.0442591653682709,      0.0389444944183425, 0.0270192519450167, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1102877443 
R squared (OOB):                  0.6281847 

$Forests[[742]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(407000, 510000, 355000,      375000, 5e+05, 537000, 475000, 476000, 620000, 680000, 680000,      8e+05, 685000, 753000, 748000, 945500, 912000, 660000, 688000,      580000), floor_area_sqm = c(82, 93, 82, 82, 103, 106, 103,      103, 103, 91, 85, 90, 93, 87, 107, 87, 87, 90, 85, 100),          storey_order = c(5L, 4L, 2L, 3L, 1L, 4L, 2L, 2L, 2L,          3L, 2L, 7L, 4L, 5L, 2L, 8L, 3L, 10L, 4L, 4L), remaining_lease_mths = c(661,          746, 656, 645, 773, 760, 781, 774, 911, 984, 1066, 1063,          1115, 1104, 899, 1143, 1142, 993, 964, 1013), PROX_CBD = c(3.63085360417079,          3.46549777590634, 3.73116287154914, 3.68559345068932,          3.24578829573265, 3.12641734116327, 3.09516181063763,          3.09516181063763, 2.86182045335715, 2.86455481676114,          2.96405104980333, 2.97610984462207, 2.56060478168524,          2.5775653440094, 2.52364731081334, 2.51922626320824,          2.51922626320824, 5.00856672458725, 3.98134497452694,          4.79843685927635), PROX_ELDERLYCARE = c(0.233260955843543,          0.22080460703487, 0.501456868829436, 0.466665237090727,          0.461566734593474, 0.570344367187993, 0.614909460801077,          0.614909460801077, 0.334062202372697, 0.111411798512938,          0.206690358794928, 0.249991250520312, 0.303984777605612,          0.283170941801308, 0.132133546591398, 1.25853619714168e-06,          1.25853619714168e-06, 0.403456137693205, 0.168717999980802,          0.72206466606869), PROX_HAWKER = c(0.0974836441417274,          0.288924403117312, 0.311969910328466, 0.28293755865871,          0.461305554076076, 0.582032517556358, 0.524942013349153,          0.524942013349153, 0.231089093207534, 0.302651224916382,          0.344572110572533, 0.405863058813757, 0.450094806637729,          0.447120961378381, 0.315417458803045, 0.187177165934232,          0.187177165934232, 0.327438715714418, 0.262344394473714,          0.669525197575465), PROX_MRT = c(0.897060452829867, 0.855873415641472,          1.10221151459309, 1.17490863944549, 1.11057161001852,          1.19588154804183, 1.19880844528061, 1.19880844528061,          0.819080841065402, 0.391395986196982, 0.377919714857806,          0.337225216160626, 0.546591463865751, 0.499107329029013,          0.277076743329557, 0.243725266054354, 0.243725266054354,          0.699181106494864, 0.310254962870727, 1.13446368103879         ), PROX_PARK = c(0.512523364266062, 0.78484111030831,          0.271761978726623, 0.304435062988112, 0.856773721705297,          0.971029675538415, 0.971409228458194, 0.971409228458194,          0.609617368578913, 0.399002951856213, 0.495024008458079,          0.4671588721782, 0.21329655328302, 0.18481391877062,          0.163253442595557, 0.28862748451296, 0.28862748451296,          0.344858191728297, 0.894232249415992, 0.279857584881724         ), PROX_GOOD_PRISCH = c(5.4842432173218, 5.67094725420518,          5.22570836776045, 5.15997579188296, 5.51078547454581,          5.52416256345089, 5.46565510857314, 5.46565510857314,          5.1514664212482, 4.71207116352008, 4.62297298452196,          4.56048774292729, 4.93746215949662, 4.89009258041755,          4.61812725480087, 4.50145006484821, 4.50145006484821,          4.86324650242379, 3.868083844602, 4.40925832010736),          PROX_MALL = c(1.51733094855201, 1.56665946009711, 1.41171259857663,          1.3376464242075, 1.33172083977874, 1.29251563056945,          1.2281628510896, 1.2281628510896, 0.848351644608041,          0.420489734799516, 0.404565296260845, 0.362094853274792,          0.572150632107275, 0.524781909718914, 0.290995843291254,          0.244046547559164, 0.244046547559164, 1.20968740927381,          1.18273225000282, 0.830412122132217), PROX_CHAS = c(0.318203164684035,          0.173647795570322, 0.261237260735983, 0.216565147674259,          0.0869328465249217, 0.202999736112437, 0.240903750709302,          0.240903750709302, 0.159666076311523, 0.110042750971165,          0.0506108453744785, 0.111500209373212, 0.0640474788759872,          0.0301364724824846, 0.0122221533760307, 0.0462846720247782,          0.0462846720247782, 0.358299181925541, 0.145112311632742,          0.120011087306801), PROX_SUPERMARKET = c(0.318204198369299,          0.173649067116538, 0.301923436189205, 0.252487697752149,          0.0869315055470345, 0.202998478162502, 0.240902416159861,          0.240902416159861, 0.360029455717415, 0.110042446678578,          0.0506107476035619, 0.111500172768761, 0.315915165677582,          0.275738565320567, 0.0373112013983995, 0.169442491353445,          0.169442491353445, 0.395196557309087, 0.252387257990654,          0.0907294343182455), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 0L,          0L, 0L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(1L, 1L,          3L, 3L, 2L, 2L, 2L, 2L, 3L, 4L, 3L, 3L, 4L, 4L, 6L, 4L,          4L, 1L, 3L, 2L), WITHIN_350M_BUS = c(11L, 9L, 9L, 10L,          6L, 5L, 4L, 4L, 4L, 7L, 7L, 4L, 3L, 3L, 6L, 4L, 4L, 7L,          12L, 6L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L,          3L, 3L, 3L, 4L, 4L, 3L, 3L, 2L, 2L, 2L, 2L, 1L, 1L, 2L         ), DNeighbour = c(0, 276.373410786857, 286.232763219779,          335.474079145526, 399.581832395229, 517.416558414051,          539.77186976373, 541.156562730705, 829.220113227596,          1112.28122353657, 1114.35678237899, 1166.34970418314,          1220.89807664307, 1234.59173176275, 1494.85769408687,          1599.98285127017, 1601.87941006267, 1636.32906670282,          1643.65006611481, 1683.54381314156)), row.names = c("742",      "454", "432", "683", "192", "48", "134", "126", "561", "968",      "389", "319", "390", "999", "65", "816", "550", "515", "375",      "610"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.946828125910469,      0.943023318751841, 0.922162291698316, 0.890507470059147,      0.820009049885394, 0.804976957288572, 0.80402963998061, 0.573654749421614,      0.317536647645627, 0.315701656587701, 0.27043737598084, 0.22476299980723,      0.213655072207091, 0.0447713023098147, 0.00937109333423633,      0.00896087742747479, 0.00305844405058977, 0.00219314922774415,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10345174832 
R squared (OOB):                  0.6275161 

$Forests[[743]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(392000, 425000, 421000,      410000, 350000, 4e+05, 374000, 7e+05, 315000, 670000, 505000,      340000, 5e+05, 540000, 415000, 475000, 430000, 540000, 490000,      328000), floor_area_sqm = c(103, 108, 93, 93, 105, 104, 103,      92, 91, 92, 92, 104, 92, 92, 92, 93, 91, 90, 92, 84), storey_order = c(2L,      3L, 4L, 4L, 1L, 2L, 2L, 4L, 1L, 5L, 4L, 1L, 3L, 6L, 2L, 4L,      4L, 3L, 3L, 4L), remaining_lease_mths = c(833, 820, 789,      788, 837, 822, 862, 1126, 790, 1121, 1051, 869, 1049, 1142,      1130, 1130, 777, 1067, 1038, 806), PROX_CBD = c(10.8307618753175,      10.7884209511687, 10.8005053894847, 10.7402382849343, 10.9742090734032,      10.8294299245227, 11.0478583208432, 11.1573644039326, 10.6917699702976,      11.0595651330709, 11.4388659085475, 10.9782438935663, 11.4975151935682,      11.3687765497058, 11.3687765497058, 11.4536743231806, 10.4167519306418,      11.5237533038112, 11.6213283462416, 10.2439629519707), PROX_ELDERLYCARE = c(1.12487398858542,      1.11323464510705, 1.11154389564577, 1.05196585123006, 0.852070403211021,      0.925828280583076, 0.694826263841934, 1.34447435494956, 1.07660186858624,      1.41694161867716, 0.529438756707198, 0.748731634955849, 0.485429735975203,      1.27208236570677, 1.27208236570677, 1.19895989384568, 0.852176862644424,      0.374021376468387, 0.621923465733728, 0.904720646157319),          PROX_HAWKER = c(0.775872885593274, 0.812377793689625,          0.918995125488027, 1.02652926791064, 0.487483409830997,          0.558859907936318, 0.33156405975617, 1.10011050744246,          1.35937058559257, 1.19495083476736, 0.319632581294072,          0.421987441153261, 0.320302217757218, 1.07923254025891,          1.07923254025891, 1.02903329925728, 1.55256346901264,          0.235307086042243, 0.537052085835962, 0.616195579705155         ), PROX_MRT = c(0.568072215940967, 0.526269526678983,          0.566932323762424, 0.546812793492647, 0.534522073584246,          0.633065114071651, 0.413251174688675, 0.876646963171676,          0.753106278920522, 0.991329354536752, 0.264110896255266,          0.516121726350597, 0.24936700359253, 0.671331594421278,          0.671331594421278, 0.573574303209013, 0.686459009674335,          0.148196296616071, 0.182944945438028, 0.52596302633555         ), PROX_PARK = c(0.443949121553361, 0.467051942358664,          0.370936327890873, 0.401614025373747, 0.623434891123849,          0.822296725898933, 0.855372307789476, 0.189026691537682,          0.536819237128991, 0.275833477585303, 0.653351036954048,          1.01560706627581, 0.698336840868775, 0.294690087030438,          0.294690087030438, 0.341254943367627, 0.613918856542286,          0.808531626238996, 0.643411448820926, 0.626908579085899         ), PROX_GOOD_PRISCH = c(2.22887532154294, 2.2131785217075,          2.34700895725274, 2.39141973384207, 2.09882394138718,          1.88031331185984, 1.96973866183315, 2.83177349547833,          2.68318776685765, 2.8385375863655, 2.45055199705462,          1.81228643023267, 2.48345794754568, 2.95589454100459,          2.95589454100459, 2.96812409551872, 2.62113030487697,          2.43173748992112, 2.69528593883292, 1.44855804010835),          PROX_MALL = c(0.384053234723219, 0.340751907865098, 0.363372953846058,          0.344610557976029, 0.606835933426222, 0.43093778326398,          0.400154220571097, 0.831480717149744, 0.459259689573629,          0.76911725394793, 0.840491697823826, 0.231229629812008,          0.805279144871904, 0.814743407183115, 0.814743407183115,          0.714729745574342, 0.350991485118426, 0.840908486660855,          0.597386337892971, 0.644656189163291), PROX_CHAS = c(0.2644107607892,          0.260152478655286, 0.111289200730163, 0.106045676778667,          0.20965056306942, 0.0390568763467083, 0.193330180912365,          0.0819321575559949, 0.0626028682349028, 0.0661119226245057,          0.210772889992189, 0.23122963873357, 0.18789773503711,          0.257507761616553, 0.257507761616553, 0.31407050179696,          0.302383860370021, 0.0822817354855642, 0.130352204164602,          0.155315138624813), PROX_SUPERMARKET = c(0.407226974513028,          0.363982132031921, 0.386863986973968, 0.357992185767737,          0.477398814511427, 0.430936681100737, 0.392366955335671,          0.408274605358357, 0.550262392018624, 0.444069124865739,          0.189609627596398, 0.231228589734032, 0.186124684843571,          0.30094246041235, 0.30094246041235, 0.345653574215055,          0.519095500550079, 0.113409172087645, 0.0679201472407272,          0.18505229065347), WITHIN_350M_KINDERGARTEN = c(2L, 1L,          2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 0L, 2L, 0L, 1L, 1L, 0L,          1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 3L, 3L,          3L, 2L, 4L, 2L, 3L, 3L, 3L, 4L, 5L, 4L, 3L, 3L, 2L, 6L,          4L, 6L, 1L), WITHIN_350M_BUS = c(11L, 8L, 9L, 6L, 8L,          11L, 7L, 6L, 7L, 9L, 7L, 9L, 8L, 10L, 10L, 8L, 9L, 5L,          8L, 10L), WITHIN_1KM_PRISCH = c(6L, 6L, 5L, 5L, 6L, 6L,          6L, 3L, 3L, 3L, 5L, 5L, 4L, 3L, 3L, 4L, 2L, 4L, 6L, 6L         ), DNeighbour = c(0, 41.8745608697473, 171.797105663955,          266.847370395429, 309.741558128575, 435.950134984788,          558.541330192085, 602.040108029925, 626.518875763693,          630.552576938353, 659.899782668594, 686.985804487645,          714.391105060733, 741.226436304307, 742.88177646896,          767.714187137154, 779.903429929823, 786.87748125588,          799.550852970352, 809.302057968983)), row.names = c("743",      "696", "56", "6", "239", "364", "694", "425", "569", "407",      "271", "317", "553", "876", "157", "132", "480", "652", "89",      "668"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.99465278675895,      0.911906597143383, 0.794382215281695, 0.728496772359306,      0.503858786643083, 0.274251628552464, 0.199462479896971,      0.160557445847144, 0.154413155328324, 0.112314226785076,      0.0780829239030882, 0.0487511793323495, 0.0259716867686712,      0.0247767966718548, 0.0100268179076484, 0.00508828771191297,      0.00298654737299975, 0.000573728832277192, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6.417e+09 
R squared (OOB):                  0.4092019 

$Forests[[744]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(435000, 450000, 550000,      548000, 4e+05, 429000, 360000, 422800, 390000, 423800, 415000,      478000, 447000, 390000, 438000, 430000, 376888, 390000, 420000,      412000), floor_area_sqm = c(103, 105, 93, 93, 91, 104, 84,      104, 102, 104, 104, 104, 107, 103, 104, 104, 104, 104, 104,      103), storey_order = c(4L, 2L, 3L, 4L, 1L, 2L, 2L, 4L, 2L,      2L, 2L, 5L, 3L, 1L, 2L, 2L, 3L, 1L, 2L, 4L), remaining_lease_mths = c(819,      757, 1137, 1135, 783, 822, 762, 813, 763, 756, 760, 770,      782, 773, 812, 819, 810, 809, 922, 918), PROX_CBD = c(11.381621166991,      11.4573592114175, 11.2116042179965, 11.1809634086998, 11.4963900230166,      11.1191912667925, 11.4815172953657, 11.1672746170477, 11.6387779682198,      11.7174653186763, 11.6914583773846, 11.927322045494, 11.7840832214562,      11.9179556382635, 11.7215458353159, 11.547248638023, 11.622690560426,      11.7882471009294, 11.8892341343185, 11.9871965659798), PROX_ELDERLYCARE = c(0.382123855460196,      0.52883250894194, 0.369355324070756, 0.333450295290741, 0.672630859926948,      0.213121327483379, 0.182032582488253, 0.14075304944647, 0.792216801753581,      0.74375074589335, 0.736997311630605, 0.77464979732367, 0.481333190444255,      0.757050983431463, 0.240093333498969, 0.246353759583753,      0.175524774720266, 0.114277277444971, 0.110349805405523,      0.210296865683283), PROX_HAWKER = c(0.863892291353285, 0.848364442784946,      1.02311573056961, 1.04207495818587, 0.804785607263954, 1.08329799955244,      0.728271246274353, 1.04840790050398, 0.61454926069889, 0.5637831570093,      0.558671781535233, 0.445987433628815, 0.436117874461739,      0.581821713307667, 0.609281739536534, 0.837769476188058,      0.783966268147895, 0.647051853283446, 0.684056106771311,      0.625285574708341), PROX_MRT = c(0.424871345706255, 0.275269590424193,      0.524888394814585, 0.580267989687754, 0.132306565433056,      0.776456939054752, 0.756359380624344, 0.893429463565323,      0.0844107562606101, 0.162940637784707, 0.140110279979828,      0.493642118682657, 0.81394482428473, 0.401552834915971, 0.989064774064853,      1.16228231940478, 1.15515804744233, 1.00317447086964, 1.00424261648768,      0.923336133969517), PROX_PARK = c(1.31830174708739, 1.3775538710324,      1.15338615463339, 1.13378306757762, 1.41209410927924, 1.13833451608328,      1.50398184725757, 1.25063890429238, 1.51709061898346, 1.5229705853841,      1.50772581466401, 1.17760662255222, 1.20101103678102, 1.26489639581012,      1.28416187507733, 1.4881280763212, 1.41684131410086, 1.24877122811849,      1.19263079577799, 1.09395352284574), PROX_GOOD_PRISCH = c(0.288839241027683,      0.277148461253506, 0.456074275886943, 0.485317217067727,      0.364349890680966, 0.586469336292635, 0.365254403810308,      0.623353133039123, 0.453346371612442, 0.440184840714675,      0.476923220580037, 0.289303568244907, 0.357669915539773,      0.374797987706521, 0.585140695782779, 0.735233663606362,      0.733057242670121, 0.713901761199557, 0.842915880539328,      0.855677549512306), PROX_MALL = c(0.849953313581112, 0.815329638117364,      1.01522535242687, 1.03968747299659, 0.844787863205902, 1.10160019948421,      0.763531318053358, 1.08293003315278, 0.815834004295584, 0.750703947848918,      0.797799046209296, 0.376851773239706, 0.489619370966043,      0.498039402667872, 0.690287469384684, 0.918014501744059,      0.868993594299523, 0.741052769880115, 0.787722851944232,      0.732793638615111), PROX_CHAS = c(0.115324197479935, 0.179820414455961,      0.206252010873132, 0.216965800691496, 0.0697008731150885,      0.143881852296294, 0.0516610437101642, 0.151540147087551,      0.0804697697946077, 4.64133788220832e-08, 0.0474151678735614,      0.339292519878925, 0.0667093090499658, 0.258806234431974,      0.164718468919614, 0.157099147473317, 0.151742844958785,      0.0554870656895364, 0.124859952031804, 0.171681037809818),          PROX_SUPERMARKET = c(0.186698572696543, 0.301981775400679,          0.222574928361305, 0.212835414763751, 0.441950593919319,          0.246182427713253, 0.19171128272723, 0.299482732316256,          0.596048194106483, 0.609798994765399, 0.635527990773791,          0.405378875546255, 0.379080894647373, 0.542179538393358,          0.169255457402684, 0.157098334004615, 0.151741730066283,          0.0453848138423891, 0.114394571204967, 0.172282484091702         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 2L,          0L, 2L, 0L, 0L, 0L, 0L, 2L, 0L, 2L, 1L, 1L, 3L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 3L, 2L, 5L,          5L, 6L, 3L, 3L, 3L, 2L, 3L, 2L, 6L, 7L, 7L, 8L, 8L, 5L         ), WITHIN_350M_BUS = c(10L, 7L, 6L, 7L, 8L, 9L, 14L,          14L, 6L, 5L, 6L, 9L, 7L, 7L, 10L, 11L, 8L, 9L, 9L, 6L         ), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 2L, 3L, 2L, 3L,          2L, 3L, 3L, 3L, 4L, 4L, 3L, 3L, 2L, 2L, 3L, 2L, 2L),          DNeighbour = c(0, 151.381132629515, 172.029168339467,          208.09944170437, 296.619547464971, 361.929989581566,          376.590008332428, 466.729112796177, 471.98203870779,          505.478502805041, 525.18474430172, 554.116354005337,          556.760745853976, 588.524787195313, 717.641513414481,          788.896187655204, 814.497815186834, 852.29007284098,          998.154012584689, 1033.16657175503)), row.names = c("744",      "843", "347", "178", "151", "845", "213", "528", "522", "941",      "274", "666", "340", "63", "625", "598", "750", "508", "148",      "689"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.957523789395128,      0.945319677089931, 0.920506618548189, 0.841943919627423,      0.769623618406264, 0.751930375720771, 0.633497140123885,      0.626164966313164, 0.578562215239038, 0.549978499899708,      0.507445480371762, 0.50353224374777, 0.456326369524142, 0.267832585733691,      0.173854889752437, 0.14326439250422, 0.102074204210591, 0.00443938966006652,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1362037751 
R squared (OOB):                  0.4320566 

$Forests[[745]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(338000, 355000, 315000,      293000, 303888, 335000, 340000, 325000, 340000, 362000, 320000,      370000, 336000, 348000, 416000, 326000, 370000, 380000, 380000,      360000), floor_area_sqm = c(94, 94, 87, 86, 90, 90, 102,      90, 90, 94, 91, 95, 90, 95, 93, 101, 93, 93, 93, 93), storey_order = c(2L,      4L, 5L, 1L, 5L, 5L, 2L, 4L, 4L, 4L, 1L, 5L, 2L, 1L, 6L, 1L,      1L, 2L, 2L, 2L), remaining_lease_mths = c(1076, 1070, 1004,      1006, 1008, 998, 968, 973, 1011, 976, 980, 977, 966, 968,      1132, 942, 1125, 1132, 1136, 1135), PROX_CBD = c(18.893500205596,      18.9417612550563, 18.9558501171738, 18.9558501171738, 19.0279685600245,      18.976831626196, 18.6342583478867, 18.5353901232527, 18.5954829873069,      18.3273029006797, 18.4122801485573, 18.2449080671561, 18.263890012402,      18.0323194354466, 18.2305685201872, 17.6460086713989, 18.2305685201872,      18.1279148711176, 18.1376577985599, 18.1376577985599), PROX_ELDERLYCARE = c(3.10102691254995,      3.09832013994742, 3.04148171914245, 3.04148171914245, 3.26154359027314,      3.28231449363414, 2.72992435028626, 3.18651864771223, 3.21245115339435,      2.7120525382807, 3.05606256580079, 2.54228790651909, 2.93603771613334,      2.88259030935981, 2.5602844754638, 2.69583292953839, 2.5602844754638,      2.51087611030153, 2.49441526227585, 2.49441526227585), PROX_HAWKER = c(0.926259022488312,      0.981837341088666, 1.03425383708264, 1.03425383708264, 0.990561993667382,      0.923592674397851, 0.947673142820091, 0.491879726860981,      0.468862715548992, 0.729165861663657, 0.284310921582288,      0.859760115655931, 0.135415800319106, 0.459055170630849,      0.555435817196439, 0.543702723258422, 0.555435817196439,      0.487567663506197, 0.528296501129656, 0.528296501129656),          PROX_MRT = c(0.777214903782309, 0.831940647091921, 0.87145727172961,          0.87145727172961, 0.880588410111357, 0.822784932057268,          0.717283111076423, 0.375479822529604, 0.485913485771313,          0.470919202147399, 0.34633408104891, 0.597257652192269,          0.269488316579814, 0.228324090957444, 0.810957189319413,          0.514213843772978, 0.810957189319413, 0.74928998522808,          0.789676869843372, 0.789676869843372), PROX_PARK = c(1.53153013283021,          1.58031197441792, 1.64892029001525, 1.64892029001525,          1.5140651316136, 1.4431849310919, 1.68545701841371, 1.15334089580929,          0.966363588730214, 1.51959638840156, 0.872887750975024,          1.66089445329223, 0.826451671225411, 1.25712692932115,          0.269300347674678, 0.873328686748902, 0.269300347674678,          0.317511189836545, 0.276326305891841, 0.276326305891841         ), PROX_GOOD_PRISCH = c(9.23793284137011, 9.2863930262578,          9.30119351841798, 9.30119351841798, 9.37202430611723,          9.32093903042593, 8.98296462693421, 8.87993213136606,          8.94334048589707, 8.6741083827629, 8.76068312560123,          8.59525181849715, 8.61262144573917, 8.37645219680457,          8.60245346442475, 7.99076792195858, 8.60245346442475,          8.49670627721454, 8.50873818737911, 8.50873818737911),          PROX_MALL = c(0.833273819621717, 0.886414086630636, 0.918650450187965,          0.918650450187965, 0.951179576311185, 0.897736377807805,          0.719594778264249, 0.460655941356388, 0.594166870248601,          0.437943127987326, 0.458641270318743, 0.537890109309282,          0.374925429890344, 0.12060760008054, 0.89702383385846,          0.441435937338541, 0.89702383385846, 0.819155488013484,          0.814982856398022, 0.814982856398022), PROX_CHAS = c(0.143741090403558,          0.0880613138842689, 0.067384164825537, 0.067384164825537,          0.184556275618948, 0.237819060284531, 0.294409401108374,          0.165734202429707, 0.186588167457245, 0.319053536773146,          0.182706372800723, 0.274147949012332, 0.0541347282504724,          0.120607657412939, 0.080524556228062, 0.441435968696221,          0.080524556228062, 0.0462043949149095, 0.0547102897319272,          0.0547102897319272), PROX_SUPERMARKET = c(0.218188374485768,          0.175726554209016, 0.102761308178796, 0.102761308178796,          0.3125742651816, 0.322795161753339, 0.247755307750907,          0.167679568764744, 0.195869762300225, 0.198027823348086,          0.182706945219403, 0.161035318973668, 0.0541355525390397,          0.119017844673248, 0.512175097136782, 0.446325988440648,          0.512175097136782, 0.467157902200199, 0.504768063926141,          0.504768063926141), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 0L, 2L, 0L, 0L, 2L, 0L,          1L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 2L, 4L, 4L, 7L, 4L, 6L, 7L, 4L, 5L, 4L, 3L, 2L,          3L, 3L, 2L, 2L), WITHIN_350M_BUS = c(8L, 8L, 8L, 8L,          6L, 9L, 5L, 12L, 10L, 12L, 12L, 9L, 11L, 14L, 7L, 11L,          7L, 10L, 10L, 10L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 2L, 3L, 2L,          2L, 2L, 2L), DNeighbour = c(0, 56.4480716659695, 113.147667511588,          113.311410882542, 174.995970322935, 179.307199849033,          385.761213816139, 432.323598988186, 568.679362958895,          595.499683290806, 696.704907021862, 737.412742482577,          809.725323096986, 863.90164184078, 1266.29329084672,          1271.84705129822, 1271.85996118409, 1272.14436287582,          1299.26445820269, 1310.00770847861)), row.names = c("745",      "932", "52", "951", "570", "915", "7", "838", "901", "873",      "722", "5", "548", "354", "401", "456", "770", "461", "285",      "378"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996289972390531,      0.985135491972912, 0.985092599704864, 0.964629102495869,      0.962881503356304, 0.834091246073744, 0.794040304259848,      0.658619676106494, 0.629419354137178, 0.514309864368646,      0.466674123426848, 0.381854008525965, 0.319347642827607,      0.00430672551508613, 0.00329609637217673, 0.00329389952750142,      0.0032456837247908, 0.00026681776684938, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       554975198 
R squared (OOB):                  0.3537265 

$Forests[[746]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 380000, 676000,      663000, 655000, 4e+05, 655000, 640000, 350888, 340000, 398000,      390000, 380000, 418000, 385000, 4e+05, 418000, 360000, 350000,      465000), floor_area_sqm = c(98, 93, 87, 87, 87, 104, 87,      87, 93, 92, 92, 92, 92, 92, 91, 92, 91, 83, 91, 104), storey_order = c(4L,      3L, 3L, 4L, 5L, 2L, 1L, 4L, 3L, 1L, 3L, 1L, 4L, 4L, 1L, 4L,      5L, 3L, 4L, 3L), remaining_lease_mths = c(718, 724, 1120,      1124, 1121, 751, 1123, 1121, 712, 699, 714, 711, 695, 691,      715, 690, 774, 803, 741, 760), PROX_CBD = c(9.5915755681771,      9.50206510185676, 9.49727834386093, 9.49727834386093, 9.49727834386093,      9.83498872427818, 9.39818328429371, 9.42381765287156, 9.68679892421183,      9.97016469840266, 9.95525560808738, 9.71066487891121, 9.61422948612377,      9.61422948612377, 8.8262745849674, 9.59976569988281, 9.35032791665702,      8.52567265657093, 8.70456515841861, 8.64488888098128), PROX_ELDERLYCARE = c(0.558000418748021,      0.619429799229152, 0.735218745429302, 0.735218745429302,      0.735218745429302, 0.611336059876525, 0.718190414835305,      0.750155484045513, 0.35495808488012, 0.14040561650552, 0.150508443509651,      0.385358274245319, 0.28812103687201, 0.28812103687201, 0.896855030989675,      0.239547661796275, 0.227789996497476, 1.23693676843424, 0.1203423949077,      0.17844978767297), PROX_HAWKER = c(0.434568479089541, 0.518318645141504,      0.639074974233661, 0.639074974233661, 0.639074974233661,      0.54583502916026, 0.640059738279374, 0.667492197519696, 0.221606053969191,      0.15909114400288, 0.153089379504462, 0.39402887106119, 0.398658919868918,      0.398658919868918, 0.311054993693233, 0.436761476721694,      0.508896406641727, 0.0724679807682574, 0.867862446497739,      0.917919654697093), PROX_MRT = c(0.656590823238566, 0.533910829474844,      0.499971219475903, 0.499971219475903, 0.499971219475903,      0.722241727367494, 0.401734036242065, 0.423547456258288,      0.760373725070279, 0.494111782173202, 0.521845664201362,      0.746020760246364, 0.667432439829923, 0.667432439829923,      0.17731989795878, 0.619962862184004, 0.569946398217962, 0.510058766918036,      0.97670571404933, 0.91698472228942), PROX_PARK = c(0.355705093322714,      0.26219477257436, 0.298527066745392, 0.298527066745392, 0.298527066745392,      0.296755194228525, 0.220484561261844, 0.258916726718906,      0.664893225436512, 0.68588072489708, 0.730503149795042, 0.914740437498633,      0.922231693079911, 0.922231693079911, 0.458605630557841,      0.957886982704992, 0.726258134328713, 0.557643312318536,      0.288616932786395, 0.238119977580318), PROX_GOOD_PRISCH = c(2.11809049366399,      2.18628235132699, 2.17599822879711, 2.17599822879711, 2.17599822879711,      1.88657748145099, 2.27458198186913, 2.24680049319454, 2.17803171840573,      1.97396491196204, 2.01039924795066, 2.31351362539819, 2.38715383730665,      2.38715383730665, 2.8424495793979, 2.35345437748376, 2.41566392235711,      3.13534109620979, 2.418607930925, 2.37381492496372), PROX_MALL = c(1.22478662403239,      1.32833110917602, 1.45007786498113, 1.45007786498113, 1.45007786498113,      1.23747152538927, 1.45650167595406, 1.48330987402926, 0.796976758090547,      0.802483711672914, 0.757457219803541, 0.505770857705003,      0.43353114329251, 0.43353114329251, 1.64561868645684, 0.387669919047214,      0.406203001531397, 1.96281231550532, 0.948870628363287, 1.00281364182829     ), PROX_CHAS = c(0.346218272658546, 0.219477506246216, 0.101351467161616,      0.101351467161616, 0.101351467161616, 0.352730820744124,      0.109789289200213, 0.0719365450960561, 0.0707228333244178,      0.187394625423847, 0.144412947448491, 0.255589678637005,      0.28666502826278, 0.28666502826278, 0.221229860630612, 0.263208245292117,      0.146235674893272, 0.169369143123463, 0.27140983829104, 0.256340531367836     ), PROX_SUPERMARKET = c(0.300584979098838, 0.191210069763785,      0.0715849245259307, 0.0715849245259307, 0.0715849245259307,      0.324694852199881, 0.13637298984998, 0.100679215951394, 0.128382981112681,      0.215556112381702, 0.204623167766534, 0.363062686357781,      0.396736556610776, 0.396736556610776, 0.221249484047241,      0.44091986097032, 0.347306649978202, 0.169391527985645, 0.221415122113844,      0.24778575064029), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 1L,      1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L,      2L, 1L), WITHIN_350M_CHILDCARE = c(5L, 6L, 6L, 6L, 6L, 1L,      6L, 6L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 4L, 5L, 3L, 4L, 4L),          WITHIN_350M_BUS = c(5L, 2L, 4L, 4L, 4L, 3L, 6L, 5L, 10L,          9L, 9L, 13L, 11L, 11L, 5L, 11L, 9L, 8L, 9L, 8L), WITHIN_1KM_PRISCH = c(2L,          1L, 1L, 1L, 1L, 3L, 1L, 1L, 4L, 4L, 4L, 4L, 4L, 4L, 2L,          3L, 3L, 2L, 2L, 2L), DNeighbour = c(0, 132.338233705343,          241.816261130723, 245.963140799893, 247.47972631292,          253.137579277825, 298.709541348829, 302.672729090649,          444.877552816938, 647.622755148308, 667.360564249844,          738.475091172229, 787.473055842811, 790.693408312114,          803.494633477593, 833.550261222468, 936.979892591287,          1159.28211527801, 1199.60644109272, 1243.02466141601)), row.names = c("746",      "539", "593", "466", "731", "659", "657", "9", "946", "211",      "971", "776", "603", "499", "814", "964", "37", "404", "71",      "487"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.977459016195311,      0.925741740243846, 0.923224267594299, 0.922293763220545,      0.918776150967498, 0.887838392457994, 0.884933854206274,      0.76022382307383, 0.53078978032731, 0.50659536269084, 0.418674727019906,      0.358394382741754, 0.354466915269084, 0.33891423339014, 0.302851508109149,      0.186451440313003, 0.016952364234152, 0.00471130067190761,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4114539410 
R squared (OOB):                  0.7266113 

$Forests[[747]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(465000, 385000, 488000,      290000, 560000, 538000, 620000, 418000, 409500, 520000, 515000,      451000, 660000, 678000, 450000, 440000, 446000, 545000, 582000,      480000), floor_area_sqm = c(91, 93, 104, 87, 105, 90, 103,      84, 84, 107, 84, 83, 105, 92, 104, 93, 94, 101, 104, 94),          storey_order = c(2L, 1L, 1L, 1L, 2L, 5L, 4L, 3L, 3L,          2L, 4L, 8L, 6L, 3L, 1L, 3L, 2L, 1L, 3L, 6L), remaining_lease_mths = c(764,          772, 776, 643, 913, 995, 742, 804, 807, 892, 804, 604,          748, 1103, 828, 759, 723, 938, 935, 725), PROX_CBD = c(4.28329341592686,          4.25035751849909, 4.16405648472164, 4.35364804731157,          3.91005014077452, 4.4759193492502, 3.79744534670369,          4.20973993763024, 4.20973993763024, 4.23142849537126,          3.75781957676323, 3.63056019358172, 3.5952466633456,          3.93031212371417, 5.12061996426338, 5.4791067318598,          4.45295385586978, 3.59494173601466, 5.4901102241405,          4.50933618399607), PROX_ELDERLYCARE = c(0.4193003334471,          0.411587417191489, 0.434539750657667, 0.402111762367986,          0.449207181019876, 0.136621520737764, 0.296175206272889,          0.156291063754703, 0.156291063754703, 0.272010492111063,          0.582389211118023, 0.124703716495981, 0.354500614782039,          0.159701117649001, 0.279354008399566, 0.505585511375112,          0.645271528549996, 0.692364880740494, 0.157919913507301,          0.665866395733666), PROX_HAWKER = c(0.638679046714181,          0.610932712322496, 0.502732414569621, 0.52502919100195,          0.464701711390969, 0.736355433757935, 0.300770398866256,          0.46881842734995, 0.46881842734995, 0.392124905911543,          0.393163811818296, 0.0619655343942362, 0.311385334077859,          0.374782156946409, 0.158729667464322, 0.736115689949186,          0.601904675681234, 0.142789347249218, 0.258924665495,          0.665007751295857), PROX_MRT = c(0.637237645879563, 0.605174310138743,          0.518003091395578, 0.698417082344063, 0.361698258812245,          0.930431293452388, 0.195276091150508, 0.750034220630686,          0.750034220630686, 0.870814763860364, 0.434583879195091,          0.188513622979597, 0.16267041353008, 0.57487373386568,          1.12797954219589, 0.797555156120123, 0.66128766903618,          0.346622733589529, 1.30755754576723, 0.549595780709265         ), PROX_PARK = c(0.336599362476296, 0.346786980248178,          0.269719137898212, 0.0959047492621704, 0.651892034671684,          0.786607284590569, 0.620239922284967, 0.828179073128827,          0.828179073128827, 0.989030190878471, 0.885911587583127,          0.634729277660292, 0.796125682214674, 0.43227753152338,          1.12857946410316, 0.728040918615253, 0.473457593144303,          1.03638785093261, 0.803347187860442, 0.353281501558379         ), PROX_GOOD_PRISCH = c(3.85984302070176, 3.87277035706644,          3.99853475328204, 4.11088283479722, 3.96984616110429,          3.43096694593549, 4.13618512399158, 3.58178441884724,          3.58178441884724, 3.47561641519302, 3.98479480133756,          4.47678155678584, 4.26949140427292, 4.55218800106713,          2.70116277997296, 2.93310132502147, 3.02211493728223,          4.68517728936996, 2.45379201830723, 2.94429219434277),          PROX_MALL = c(0.92062293894618, 0.955673327573223, 1.00998414702412,          0.801857467962545, 1.2652175398851, 1.02435160052226,          1.16769889708728, 1.26743973989934, 1.26743973989934,          1.1888213641646, 1.1081035152608, 0.917363569028491,          0.962766222186716, 1.09934779211931, 1.02774547618649,          0.719613179783111, 0.570379319619026, 0.814872047472938,          1.21674302842157, 0.485349818185599), PROX_CHAS = c(0.285886541141976,          0.260827480873255, 0.147909276913635, 0.130252709580884,          0.108899254787234, 0.105578702221058, 0.121619853002556,          0.163154212627783, 0.163154212627783, 0.106822211501606,          0.345906079563203, 0.112941217538546, 0.0963682910788478,          0.304936065418075, 0.193072984237221, 0.0706483510319072,          0.303272176186244, 0.0573592222158038, 0.233242749827373,          0.331046161101227), PROX_SUPERMARKET = c(0.506434284786685,          0.512280309006142, 0.506391752127701, 0.591301773724787,          0.115229795891962, 0.0670716613901785, 0.191561540751545,          0.118448079318654, 0.118448079318654, 0.139079920157556,          0.128350069204848, 0.0867224629960944, 0.269187390315468,          0.35411008396507, 0.198191070641627, 0.0706487501399716,          0.34627255092781, 0.0573596645426592, 0.37596142908425,          0.325943517329761), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 2L, 2L, 0L, 1L, 1L, 1L,          0L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 5L,          6L, 4L, 4L, 2L, 4L, 3L, 3L, 6L, 4L, 5L, 4L, 3L, 4L, 2L,          1L, 3L, 3L, 1L), WITHIN_350M_BUS = c(5L, 5L, 5L, 6L,          5L, 5L, 5L, 7L, 7L, 7L, 3L, 4L, 6L, 5L, 9L, 3L, 6L, 4L,          10L, 5L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L, 2L, 3L,          2L, 3L, 3L, 2L, 2L, 2L, 2L, 1L, 3L, 2L, 1L, 0L, 3L, 0L         ), DNeighbour = c(0, 40.0478993088199, 152.617153695176,          369.150060746612, 440.633840893444, 449.665140464541,          497.657748445099, 497.766707112259, 502.021007782294,          662.957924722308, 675.03461100749, 697.641771739948,          706.043203890771, 706.6942768651, 1151.22027582907, 1220.96066368309,          1327.13120960669, 1434.01814047286, 1435.91776893813,          1445.7169877527)), row.names = c("747", "19", "223",      "532", "176", "411", "952", "907", "382", "849", "234", "237",      "699", "801", "646", "802", "346", "997", "307", "622"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998465890892252, 0.977836238080995, 0.873853362791893,      0.822840727145101, 0.815876297485, 0.777053495634072, 0.776962011413628,      0.773378591719682, 0.623652022317256, 0.611501216739796,      0.588500907536124, 0.579875891540942, 0.579205857942113,      0.133890782578485, 0.0822302757840116, 0.0247505165550731,      0.000259811335160772, 0.000182527221010192, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6737315241 
R squared (OOB):                  0.2529395 

$Forests[[748]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 320000, 330000,      310000, 310000, 338000, 332000, 350000, 330000, 4e+05, 385000,      375000, 342000, 365000, 370000, 368000, 3e+05, 305000, 3e+05,      4e+05), floor_area_sqm = c(105, 107, 104, 104, 104, 103,      104, 107, 105, 100, 90, 100, 105, 91, 92, 100, 85, 90, 94,      90), storey_order = c(1L, 1L, 3L, 3L, 2L, 4L, 3L, 3L, 1L,      5L, 3L, 5L, 4L, 4L, 3L, 2L, 2L, 1L, 2L, 3L), remaining_lease_mths = c(909,      909, 847, 838, 840, 836, 838, 910, 896, 923, 1060, 935, 822,      1061, 922, 937, 979, 966, 817, 953), PROX_CBD = c(18.4634083712346,      18.5552891680356, 18.238428451998, 18.2872060948971, 18.6954685875173,      18.1853470145009, 18.3394484051955, 18.8361111070307, 17.9794873864528,      18.2155576397088, 17.6242343596777, 18.2155576397088, 18.4174433264455,      17.5974072281911, 18.2744201988815, 18.1853912561079, 18.0119212314593,      18.0816861587931, 18.4835571341017, 17.5759295796121), PROX_ELDERLYCARE = c(1.70649895251479,      1.77696496808422, 1.49823830734066, 1.57361264937598, 1.96536267509963,      1.46334015610348, 1.68689945441126, 2.10089317294022, 1.20397588034421,      1.82774218733134, 0.892136309268664, 1.82774218733134, 2.01990466694452,      0.819477307137174, 1.91030467455468, 1.83831888483507, 1.25793892145158,      1.34637729166943, 2.12772209584432, 1.07156662032258), PROX_HAWKER = c(0.656056303664779,      0.788681622626877, 0.548143788898404, 0.464971900021808,      0.696312293428963, 0.490406092071559, 0.322806547864559,      0.811063273063077, 0.736691454978467, 0.218122417644225,      0.816419857336687, 0.218122417644225, 0.365194571711665,      0.922900854400271, 0.292675997882175, 0.267411626133086,      1.33204585660377, 1.41733367811242, 0.47819209562201, 0.622851592932912     ), PROX_MRT = c(1.05945750202888, 1.18994045686449, 0.950317003394984,      0.870907467758581, 1.06426899086337, 0.888080533877704, 0.722989849955079,      1.15964764660018, 1.05284557964442, 0.24629140143503, 0.729175757939742,      0.24629140143503, 0.394110762668951, 0.830609903675807, 0.25859759791353,      0.186589372260449, 1.54554013822754, 1.64690112478102, 0.440067919828323,      0.449846795062068), PROX_PARK = c(0.707700114575514, 0.662341635279621,      0.690805332809177, 0.791043930625847, 0.939968281858902,      0.741201414908801, 0.845903786092674, 0.99599902820202, 0.555889077383573,      0.449638685926872, 0.830497330619545, 0.449638685926872,      0.305293053539538, 0.751240825934154, 0.366705585759005,      0.431621232177097, 0.23250554954982, 0.243247600736397, 0.199823808978303,      0.650211227804106), PROX_GOOD_PRISCH = c(7.80883552790736,      7.9054148179446, 7.58243576478886, 7.62743554697163, 8.03533881462458,      7.52724739525134, 7.67457853159282, 8.17598486214089, 7.33264137396139,      7.54917724573578, 6.97273607492461, 7.54917724573578, 7.75189187586876,      6.95474206477502, 7.60907430161507, 7.51998659904145, 7.41905192895776,      7.49669975318446, 7.82005706650481, 6.90999703096039), PROX_MALL = c(0.25445476080495,      0.238299753757691, 0.291730094824992, 0.369641594977131,      0.50227152913363, 0.362005799982455, 0.270650184250749, 0.605524804958104,      0.387548928263219, 0.249434383428027, 0.671391539314818,      0.249434383428027, 0.368677515727611, 0.757845794253982,      0.31638525459609, 0.304347432784639, 0.658794213245526, 0.694568288644574,      0.482762920255867, 0.456006423255308), PROX_CHAS = c(0.163921847201363,      0.177138384703249, 0.0811018368302058, 0.000458346083760352,      0.387978032092424, 0.11010335009361, 0.186439783883369, 0.526621492045347,      0.324283073315245, 0.246283235408848, 0.0497500971788425,      0.246283235408848, 0.279695275413424, 0.175468897673469,      0.258594927218762, 0.186582621643492, 0.166262674114357,      0.119012364389208, 0.297885151722028, 0.401255348981324),          PROX_SUPERMARKET = c(0.25256410508494, 0.237159648524433,          0.289827711639516, 0.367596841627256, 0.500728516827066,          0.36017462873485, 0.279112228601587, 0.596975645906049,          0.337417678694655, 0.233030240431279, 0.442456788826315,          0.233030240431279, 0.3481604922123, 0.336744227428862,          0.297968471640837, 0.289364184128333, 0.385510043100507,          0.485184742393951, 0.402675729717655, 0.338457664260807         ), WITHIN_350M_KINDERGARTEN = c(4L, 3L, 4L, 6L, 0L, 7L,          4L, 0L, 2L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 4L, 3L, 4L,          4L, 3L, 3L, 7L, 2L, 7L, 7L, 3L, 7L, 7L, 3L, 3L, 9L, 5L         ), WITHIN_350M_BUS = c(12L, 10L, 10L, 9L, 8L, 11L, 11L,          4L, 9L, 15L, 12L, 15L, 14L, 6L, 17L, 16L, 9L, 8L, 12L,          8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 5L, 5L, 5L, 6L,          4L, 5L, 6L, 4L, 6L, 5L, 4L, 5L, 4L, 4L, 3L, 5L, 4L),          DNeighbour = c(0, 132.722140212372, 222.463069605046,          229.402390943997, 274.585538920102, 294.029402455244,          342.378634145183, 397.24626913438, 502.403479941869,          837.178950132617, 842.158543353408, 845.318061717337,          859.508908689956, 886.667475529609, 889.056739842191,          900.114343188162, 909.878888276081, 944.404140377045,          954.581687183002, 965.074384179814)), row.names = c("748",      "169", "839", "414", "817", "857", "693", "906", "870", "643",      "300", "571", "257", "720", "835", "31", "228", "85", "774",      "357"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.962531295395681,      0.896550179636684, 0.890185902525306, 0.844647114716334,      0.822968424238872, 0.764118709927878, 0.689841491677081,      0.531427889534256, 0.0612489435514801, 0.056885400596881,      0.054187511396154, 0.0427688970588999, 0.0243011260091268,      0.0229016382149007, 0.0169236872596205, 0.0123465330478227,      0.00179588118887385, 0.000467711408572415, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1009680914 
R squared (OOB):                  0.02500827 

$Forests[[749]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(456500, 395000, 436000,      440000, 435000, 420000, 418000, 460000, 425000, 358000, 415000,      420000, 441000, 420000, 450000, 365000, 445000, 440000, 438000,      380000), floor_area_sqm = c(92, 94, 92, 92, 92, 92, 92, 92,      94, 93, 92, 92, 93, 94, 94, 94, 94, 92, 94, 94), storey_order = c(8L,      4L, 7L, 8L, 2L, 5L, 6L, 7L, 6L, 1L, 8L, 6L, 6L, 7L, 7L, 1L,      6L, 5L, 5L, 1L), remaining_lease_mths = c(1144, 1113, 1139,      1142, 1128, 1132, 1129, 1125, 1119, 1103, 1140, 1142, 1097,      1120, 1119, 1095, 1109, 1124, 1076, 1107), PROX_CBD = c(11.9527102757424,      11.9744040829633, 12.042332185553, 12.042332185553, 12.042332185553,      12.042332185553, 12.02897658153, 12.02897658153, 11.9828723130509,      11.8075546541859, 12.02897658153, 12.02897658153, 11.8078122246038,      12.0119641769274, 12.0119641769274, 11.7965908296893, 12.1122271384014,      12.0234479092478, 11.9414743986494, 11.6781560559471), PROX_ELDERLYCARE = c(0.819362766143575,      0.738781707341689, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.786890441142101, 0.841755023464642,      0.841755023464642, 0.710325725805382, 0.922118515238085,      0.841755023464642, 0.841755023464642, 0.95260617550949, 0.673044116243487,      0.673044116243487, 1.00802268588986, 0.629785153682861, 0.938035651111226,      0.687500817542951, 1.09658820367145), PROX_HAWKER = c(0.27814297307049,      0.217370340361849, 0.369655971945997, 0.369655971945997,      0.369655971945997, 0.369655971945997, 0.409616357379742,      0.409616357379742, 0.20448046373977, 0.209140712961875, 0.409616357379742,      0.409616357379742, 0.262687630178652, 0.222580914455278,      0.222580914455278, 0.337854809554552, 0.337796349528525,      0.507473565259923, 0.147098227142532, 0.34952328079698),          PROX_MRT = c(0.200702114351669, 0.167322140356011, 0.298263347673859,          0.298263347673859, 0.298263347673859, 0.298263347673859,          0.331072457322778, 0.331072457322778, 0.170867756883987,          0.120215557602138, 0.331072457322778, 0.331072457322778,          0.173777829752023, 0.201095784108649, 0.201095784108649,          0.249549573241666, 0.302747284955937, 0.394231498000209,          0.183575431830776, 0.274140861026222), PROX_PARK = c(0.643017670933737,          0.679906922269617, 0.542226246468638, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.529446955515876,          0.529446955515876, 0.697136724289492, 0.747098338531098,          0.529446955515876, 0.529446955515876, 0.746013140888617,          0.691047645736797, 0.691047645736797, 0.739061594864021,          0.576425078157325, 0.506408767470305, 0.807374064658721,          0.620391651843957), PROX_GOOD_PRISCH = c(2.270018309959,          2.27223739349538, 2.36724315061599, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36775586018775,          2.36775586018775, 2.27447890050516, 2.12338877581429,          2.36775586018775, 2.36775586018775, 2.13533890725473,          2.29976812492723, 2.29976812492723, 2.14271827973834,          2.408030235171, 2.39172047379238, 2.21615815400514, 2.02616945457316         ), PROX_MALL = c(0.232344363503357, 0.214069216816763,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.332547569579886, 0.358721564938295, 0.358721564938295,          0.220402811054307, 0.119447773727589, 0.358721564938295,          0.358721564938295, 0.17025857997445, 0.251262654177611,          0.251262654177611, 0.241737870027575, 0.350899017798137,          0.441394824612777, 0.22663965361209, 0.244599870232268         ), PROX_CHAS = c(0.146038815472653, 0.0939357367291076,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.236223262451169, 0.25157977989641, 0.25157977989641,          0.0995919009989899, 0.11944771257822, 0.25157977989641,          0.25157977989641, 0.170258520163124, 0.131248018016709,          0.131248018016709, 0.101692541492014, 0.0703863092474096,          0.223839041128234, 0.156140837156126, 0.163903281406512         ), PROX_SUPERMARKET = c(0.237998550380205, 0.22318738818849,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.33849828517841, 0.314501000490003, 0.314501000490003,          0.230351837454113, 0.119571834445138, 0.314501000490003,          0.314501000490003, 0.168966076328732, 0.261515416493987,          0.261515416493987, 0.17897337633635, 0.360308355053667,          0.244018176385425, 0.236998053946951, 0.19333058996533         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 7L, 4L, 4L, 4L, 4L,          4L, 4L, 6L, 4L, 4L, 4L, 4L, 6L, 6L, 3L, 7L, 2L, 6L, 2L         ), WITHIN_350M_BUS = c(12L, 10L, 10L, 10L, 10L, 10L,          11L, 11L, 7L, 10L, 11L, 11L, 11L, 6L, 6L, 9L, 7L, 10L,          8L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 102.222091747473, 103.385352715347,          104.455325701168, 107.29376292026, 108.664482697762,          133.170118449021, 136.287947165541, 137.561098497876,          137.605533876042, 139.226716560489, 140.708703166762,          143.865792760381, 168.485208774271, 175.347233098946,          184.499626690943, 196.351649314716, 240.209660802148,          266.322140564075, 284.521729870363)), row.names = c("749",      "858", "573", "16", "908", "634", "700", "874", "203", "724",      "287", "318", "439", "167", "947", "41", "607", "502", "781",      "644"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.758501807196649,      0.753364256263889, 0.74860304804111, 0.735810461118604, 0.729550467367808,      0.60985183602557, 0.593750594317623, 0.587131828715618, 0.586900383200041,      0.578436772289372, 0.570667800527965, 0.554023263092194,      0.421635670821563, 0.384635030252616, 0.335826868231777,      0.27431034358527, 0.0825004632325225, 0.0153362244440265,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       846154854 
R squared (OOB):                  -0.03816396 

$Forests[[750]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(376888, 430000, 390000,      438000, 420000, 412000, 380000, 447000, 360000, 422800, 435000,      435000, 440000, 410000, 417000, 429000, 435000, 575000, 615000,      548000), floor_area_sqm = c(104, 104, 104, 104, 104, 103,      104, 107, 84, 104, 99, 100, 100, 100, 99, 104, 103, 93, 84,      93), storey_order = c(3L, 2L, 1L, 2L, 2L, 4L, 1L, 3L, 2L,      4L, 2L, 4L, 3L, 3L, 3L, 2L, 4L, 5L, 2L, 4L), remaining_lease_mths = c(810,      819, 809, 812, 922, 918, 924, 782, 762, 813, 928, 924, 911,      915, 914, 822, 819, 1133, 1122, 1135), PROX_CBD = c(11.622690560426,      11.547248638023, 11.7882471009294, 11.7215458353159, 11.8892341343185,      11.9871965659798, 12.0301392517655, 11.7840832214562, 11.4815172953657,      11.1672746170477, 12.2106818490232, 12.114386347938, 12.2087069526051,      12.2087069526051, 12.2815153207229, 11.1191912667925, 11.381621166991,      12.4342034244884, 12.3801819754074, 11.1809634086998), PROX_ELDERLYCARE = c(0.175524774720266,      0.246353759583753, 0.114277277444971, 0.240093333498969,      0.110349805405523, 0.210296865683283, 0.255083942589415,      0.481333190444255, 0.182032582488253, 0.14075304944647, 0.442541563379791,      0.421163091926404, 0.434858408662556, 0.434858408662556,      0.513657423159811, 0.213121327483379, 0.382123855460196,      0.678867196986192, 0.738453704244922, 0.333450295290741),          PROX_HAWKER = c(0.783966268147895, 0.837769476188058,          0.647051853283446, 0.609281739536534, 0.684056106771311,          0.625285574708341, 0.598391326300702, 0.436117874461739,          0.728271246274353, 1.04840790050398, 0.524204307723605,          0.885134801830427, 0.692592935098248, 0.692592935098248,          0.52278816815954, 1.08329799955244, 0.863892291353285,          0.504612881494125, 0.261296216065877, 1.04207495818587         ), PROX_MRT = c(1.15515804744233, 1.16228231940478, 1.00317447086964,          0.989064774064853, 1.00424261648768, 0.923336133969517,          0.885297742933312, 0.81394482428473, 0.756359380624344,          0.893429463565323, 0.743103019894999, 1.10882075300419,          0.89623888155871, 0.89623888155871, 0.703998835661039,          0.776456939054752, 0.424871345706255, 0.586933783104383,          0.367154517888221, 0.580267989687754), PROX_PARK = c(1.41684131410086,          1.4881280763212, 1.24877122811849, 1.28416187507733,          1.19263079577799, 1.09395352284574, 1.04875150887626,          1.20101103678102, 1.50398184725757, 1.25063890429238,          0.863487882808023, 1.14970360230785, 0.954913184146477,          0.954913184146477, 0.796788171077343, 1.13833451608328,          1.31830174708739, 0.628391467794767, 0.605799570777928,          1.13378306757762), PROX_GOOD_PRISCH = c(0.733057242670121,          0.735233663606362, 0.713901761199557, 0.585140695782779,          0.842915880539328, 0.855677549512306, 0.860616187528585,          0.357669915539773, 0.365254403810308, 0.623353133039123,          0.91368762909787, 1.17061030478036, 1.04944877580977,          1.04944877580977, 0.952579960345566, 0.586469336292635,          0.288839241027683, 1.01367306567257, 0.823417580851307,          0.485317217067727), PROX_MALL = c(0.868993594299523,          0.918014501744059, 0.741052769880115, 0.690287469384684,          0.787722851944232, 0.732793638615111, 0.707201836140707,          0.489619370966043, 0.763531318053358, 1.08293003315278,          0.634332011832188, 0.995792127022496, 0.802829369116586,          0.802829369116586, 0.630705874818675, 1.10160019948421,          0.849953313581112, 0.600548053404267, 0.344173235497563,          1.03968747299659), PROX_CHAS = c(0.151742844958785, 0.157099147473317,          0.0554870656895364, 0.164718468919614, 0.124859952031804,          0.171681037809818, 0.202915262499126, 0.0667093090499658,          0.0516610437101642, 0.151540147087551, 0.140964983635816,          0.138740180982893, 0.0852358826892552, 0.0852358826892552,          0.0753088652692227, 0.143881852296294, 0.115324197479935,          0.134041173915956, 0.126495411341712, 0.216965800691496         ), PROX_SUPERMARKET = c(0.151741730066283, 0.157098334004615,          0.0453848138423891, 0.169255457402684, 0.114394571204967,          0.172282484091702, 0.20670525505664, 0.379080894647373,          0.19171128272723, 0.299482732316256, 0.377835654599335,          0.459680111992834, 0.414959148864982, 0.414959148864982,          0.448534184110051, 0.246182427713253, 0.186698572696543,          0.543693418915242, 0.30203349112312, 0.212835414763751         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 3L, 2L, 2L, 2L,          2L, 2L, 0L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 0L, 2L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 7L, 8L, 6L, 8L, 5L,          5L, 3L, 5L, 6L, 5L, 1L, 5L, 5L, 6L, 5L, 4L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(8L, 11L, 9L, 10L, 9L, 6L, 7L,          7L, 14L, 14L, 11L, 8L, 11L, 11L, 12L, 9L, 10L, 12L, 8L,          7L), WITHIN_1KM_PRISCH = c(2L, 2L, 3L, 3L, 2L, 2L, 2L,          4L, 3L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 3L, 1L, 4L, 2L),          DNeighbour = c(0, 74.6063805667282, 170.750424973523,          180.808152319348, 272.975583095108, 362.661772254001,          410.264654036316, 429.836159273038, 438.048677795813,          569.358768345011, 584.889623891223, 587.020578695281,          606.127468463763, 606.36891030617, 661.348312201767,          716.604433631641, 814.497815186834, 820.541281422362,          829.384553255731, 834.489814967168)), row.names = c("750",      "598", "508", "625", "148", "689", "727", "340", "213", "528",      "42", "707", "410", "680", "362", "845", "744", "310", "315",      "178"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98407788627188,      0.91801706056302, 0.908312886876228, 0.797439430869345, 0.657932936664503,      0.575010893997687, 0.539760245878606, 0.524825732835399,      0.285678493403778, 0.25882289147867, 0.255186886537273, 0.223183494682392,      0.22278646894095, 0.13832077094274, 0.0689464831826882, 0.00224110967536585,      0.0010989685319699, 0.000148796570588652, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4631724106 
R squared (OOB):                  -0.0967079 

$Forests[[751]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 306000, 345888,      330000, 395000, 350000, 320000, 312000, 460000, 420000, 365000,      4e+05, 373000, 398000, 410000, 420000, 435000, 355000, 425000,      410000), floor_area_sqm = c(104, 109, 104, 107, 107, 106,      104, 107, 105, 104, 105, 92, 92, 92, 92, 92, 92, 94, 93,      93), storey_order = c(2L, 1L, 4L, 3L, 2L, 2L, 2L, 1L, 4L,      4L, 2L, 1L, 1L, 2L, 3L, 5L, 4L, 1L, 4L, 4L), remaining_lease_mths = c(772,      773, 763, 776, 755, 781, 779, 779, 770, 774, 771, 1127, 1128,      1136, 1131, 1134, 1129, 1071, 1126, 1117), PROX_CBD = c(16.0390890659677,      16.2343575305192, 16.5598581376431, 16.4773488158513, 15.936744569076,      15.2518600651656, 16.6890813896757, 16.6890813896757, 15.1689870500438,      15.0460728336845, 14.8222691165004, 17.1731083577317, 17.1731083577317,      17.26435404508, 17.2397585888566, 17.2397585888566, 17.2397585888566,      15.3735649652411, 17.3263676504413, 17.3263676504413), PROX_ELDERLYCARE = c(0.520751571920202,      0.63095091801206, 0.633922933695123, 0.393080972860029, 0.526555480516014,      0.341160576506438, 0.296144426041885, 0.296144426041885,      0.235447740717014, 0.0734543941007858, 0.151522520392741,      0.456899326246073, 0.456899326246073, 0.542806768712765,      0.500148198332671, 0.500148198332671, 0.500148198332671,      0.0572763643156628, 0.561119780492452, 0.561119780492452),          PROX_HAWKER = c(0.601123999453785, 0.355821892612055,          0.402483389428837, 0.170796598263111, 0.44834457013621,          0.711147803357143, 0.360513691606501, 0.360513691606501,          0.493984449855749, 0.321243604465073, 0.189112683951821,          0.507233229895407, 0.507233229895407, 0.598096651463893,          0.55990768529081, 0.55990768529081, 0.55990768529081,          0.371848396937832, 0.631285601786086, 0.631285601786086         ), PROX_MRT = c(0.965829261077996, 0.864165890870668,          1.05011238745279, 0.826410504821953, 0.239432195714991,          1.05589835680014, 0.937471590679814, 0.937471590679814,          0.840089990200814, 0.667161579318597, 0.506610369321483,          1.18009183772516, 1.18009183772516, 1.20599959693509,          1.16124452414741, 1.16124452414741, 1.16124452414741,          0.753708157385654, 1.13344401626098, 1.13344401626098         ), PROX_PARK = c(1.48305338833506, 1.34373269803231,          1.45762221914422, 1.2054653508424, 0.747611444367071,          1.72109509304533, 1.20981147430356, 1.20981147430356,          1.48925201971724, 1.32178658469093, 1.20591145519053,          1.02763138312455, 1.02763138312455, 0.937816003807321,          0.959994438388966, 0.959994438388966, 0.959994438388966,          0.535685352466539, 0.872985599051717, 0.872985599051717         ), PROX_GOOD_PRISCH = c(5.64743379607767, 5.7932792467937,          6.10793998843997, 5.97835326648125, 5.39194564581962,          4.96507368960908, 6.16175607197734, 6.16175607197734,          4.81784539373378, 4.66454637236311, 4.44405903659268,          6.57664814247058, 6.57664814247058, 6.66937916554136,          6.64012383316355, 6.64012383316355, 6.64012383316355,          4.72825571795328, 6.72174636420399, 6.72174636420399),          PROX_MALL = c(1.36185056241102, 1.10378372306907, 0.973625110866692,          0.76724723438711, 0.942416713928675, 2.06076738363197,          0.571849863617429, 0.571849863617429, 1.93173107331603,          1.83033637772351, 1.74752862756084, 0.392080122681935,          0.392080122681935, 0.484724019608978, 0.450738515511335,          0.450738515511335, 0.450738515511335, 0.408391974099547,          0.530342726071102, 0.530342726071102), PROX_CHAS = c(0.205355834952608,          0.289709096170644, 0.306725496117186, 0.09463300161804,          0.145251548786172, 0.453299264887269, 0.332465298200207,          0.332465298200207, 0.22714457633909, 0.0544168696099871,          0.191193294854487, 0.214971829128206, 0.214971829128206,          0.270084445320348, 0.221318263528924, 0.221318263528924,          0.221318263528924, 0.289984207596008, 0.254413742194056,          0.254413742194056), PROX_SUPERMARKET = c(0.352842931529878,          0.132128014198024, 0.252218317780421, 0.108262733037825,          0.434198104817495, 0.644027759940317, 0.204374831829505,          0.204374831829505, 0.459690883388295, 0.286721618184596,          0.188017328828043, 0.391090025360665, 0.391090025360665,          0.483753219919624, 0.449846933875903, 0.449846933875903,          0.449846933875903, 0.406388098650168, 0.529573977763673,          0.529573977763673), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 2L, 3L, 0L, 0L, 3L, 3L, 2L, 1L, 1L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 2L), WITHIN_350M_CHILDCARE = c(6L, 8L,          5L, 6L, 2L, 0L, 3L, 3L, 1L, 1L, 2L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 3L, 3L), WITHIN_350M_BUS = c(7L, 9L, 5L, 9L,          7L, 6L, 9L, 9L, 4L, 5L, 6L, 8L, 8L, 6L, 6L, 6L, 6L, 12L,          5L, 5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 3L, 4L, 1L,          4L, 4L, 2L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 1L, 3L, 3L         ), DNeighbour = c(0, 261.665006175282, 556.004076174026,          615.382479620399, 733.351214489938, 830.700216493025,          865.810682805555, 869.865280685654, 870.928779863259,          994.822600814516, 1226.84008340057, 1530.83713551118,          1530.94086713639, 1591.62827121934, 1594.58995395519,          1595.95788691288, 1599.1868579072, 1661.94109397964,          1690.06052780749, 1692.25083626387)), row.names = c("751",      "468", "883", "107", "423", "109", "328", "497", "739", "256",      "64", "507", "985", "847", "86", "280", "290", "601", "925",      "797"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.952753596719323,      0.795751504233431, 0.753008506484662, 0.65966956463277, 0.576129745956996,      0.544986618879752, 0.541364302113192, 0.540413392917913,      0.428251776962838, 0.225065599912842, 0.0330039681091657,      0.0329636838022099, 0.0133139260335685, 0.0125643398082919,      0.0122249975989015, 0.0114413048009204, 0.00126032153577424,      6.69235206419415e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2428110487 
R squared (OOB):                  -0.1523134 

$Forests[[752]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 720000, 685000,      575000, 430000, 416000, 394000, 340000, 390000, 363000, 358000,      4e+05, 550000, 715000, 680000, 662000, 672000, 380000, 370000,      675000), floor_area_sqm = c(83.1, 93, 93, 101, 92, 91, 102,      84, 84, 84, 84, 104, 102, 95, 95, 95, 85, 89, 84, 95), storey_order = c(3L,      3L, 2L, 6L, 2L, 4L, 2L, 1L, 1L, 4L, 3L, 2L, 3L, 6L, 4L, 3L,      5L, 5L, 3L, 2L), remaining_lease_mths = c(613, 1143, 1142,      932, 687, 713, 769, 780, 783, 780, 770, 783, 761, 1099, 1084,      1093, 1042, 653, 777, 1093), PROX_CBD = c(5.99387263807515,      6.10189119169168, 6.19231755176043, 5.56255806753875, 5.17330173892321,      5.10609859014938, 6.11041994069873, 6.73119135364588, 4.91139217141794,      6.82164733234375, 6.82164733234375, 6.8579883001408, 6.04257091454572,      6.06656257116635, 6.04001281876484, 6.11286474740545, 6.58265946872266,      4.19301197437796, 7.32999369210923, 6.15852201326599), PROX_ELDERLYCARE = c(0.103488744511564,      0.230112759455232, 0.355678840187058, 0.0599829320550621,      0.151830290872251, 0.320090253923576, 0.700949857098155,      0.709869492714774, 0.53976690699019, 0.729511559050305, 0.729511559050305,      0.650979480304367, 0.548656319889636, 0.516985202466339,      0.545921172841312, 0.471592353212743, 0.129826558983194,      1.05465194719342, 1.04617467786566, 0.428116600598184), PROX_HAWKER = c(0.131941483902414,      0.193610514045812, 0.287310245845902, 0.248163252655802,      0.261285820740611, 0.333568708255903, 0.917579692245523,      0.84617550022745, 0.526793317066312, 0.834207881424508, 0.834207881424508,      0.732876252375814, 0.19523132016882, 0.0900485470251793,      0.0606577495598573, 0.0855319563513606, 0.37361464573735,      0.297392426102438, 1.00458194418859, 0.104458461300263),          PROX_MRT = c(0.422927302226303, 0.385901790532203, 0.3593423355956,          0.389634730949481, 0.568944969773001, 0.549226257235714,          0.781870827245549, 0.447149108468339, 0.348715950460643,          0.401668294921849, 0.401668294921849, 0.479854345281657,          0.448203274012385, 0.530436532640755, 0.53617676606472,          0.576684647572531, 0.288098631383321, 0.670866804568908,          0.446590670593176, 0.567634817298681), PROX_PARK = c(0.775542593632535,          0.835974869985028, 0.861129399478803, 0.136342453682232,          0.375618223612072, 0.534309547143458, 0.263971642616293,          1.30601230217613, 0.454973393404149, 1.33915084667526,          1.33915084667526, 1.26891760289394, 0.651264615899835,          0.548254609843109, 0.524571131123829, 0.517760851715104,          0.734858817801552, 1.34668044149268, 1.30043300411079,          0.487498062645995), PROX_GOOD_PRISCH = c(3.79476022833587,          3.72727940395598, 3.647323571983, 3.30515733544794, 3.5160560831601,          3.68539306501406, 4.13214763824822, 2.67147237000904,          3.07957394860643, 2.67483404440455, 2.67483404440455,          2.57894825178105, 2.14268529299874, 2.03651743937875,          2.00925132829891, 2.00772186702724, 2.10026546945211,          4.04417128338034, 2.81856751915823, 1.97696478280336),          PROX_MALL = c(1.29238059557114, 1.26544404340832, 1.22999734499907,          0.719385659919303, 0.96360119165526, 1.13513631747826,          1.32133984316634, 0.894914409230097, 0.779372162435287,          0.977306285381771, 0.977306285381771, 0.985446043286547,          0.264532440460292, 0.365617038961166, 0.387042201482337,          0.403935094648282, 0.712222885156031, 1.51326780463499,          1.4733570331857, 0.446404896609829), PROX_CHAS = c(3.57955945681819e-08,          0.131092152612185, 0.255647811562625, 0.174009235365936,          0.213267381067323, 0.37199840586913, 0.235562548335707,          0.468632365618207, 0.297280152993809, 0.389404577789016,          0.389404577789016, 0.418063314797021, 0.12619956254809,          0.0929349198733403, 0.134421273847083, 0.0679258481743644,          0.19769969897302, 0.212246176955017, 0.100781853121145,          0.0766942583569258), PROX_SUPERMARKET = c(0.147638600898363,          0.0250108723026275, 0.108411284353298, 0.173881454941229,          0.266791583668656, 0.424647979009491, 0.174913922147584,          0.541263540151477, 0.212061147632098, 0.457775852816324,          0.457775852816324, 0.471666412940503, 0.178930757423705,          0.0785030623714358, 0.0393286469640316, 0.0895469396191502,          0.255985378039003, 0.306178228663922, 0.154588063793208,          0.11965836137487), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          0L, 1L, 2L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L,          0L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L,          4L, 4L, 4L, 1L, 2L, 2L, 1L, 1L, 1L, 4L, 3L, 4L, 3L, 0L,          1L, 4L, 3L), WITHIN_350M_BUS = c(6L, 9L, 10L, 2L, 4L,          4L, 4L, 4L, 7L, 4L, 4L, 3L, 7L, 8L, 8L, 6L, 2L, 5L, 8L,          6L), WITHIN_1KM_PRISCH = c(2L, 2L, 1L, 3L, 3L, 3L, 1L,          2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 2L),          DNeighbour = c(0, 127.852271802049, 253.881050680722,          665.970240956477, 894.515148127661, 903.013104450937,          1133.37931200887, 1391.31161270554, 1438.26828241922,          1456.10475581525, 1456.778648414, 1556.32123778586, 1653.58677159532,          1764.51719095757, 1786.20787623425, 1786.66493449458,          1796.716289534, 1800.11948807874, 1811.18536792789, 1814.78498289465         )), row.names = c("752", "812", "305", "596", "270",      "853", "135", "529", "251", "322", "46", "168", "453", "297",      "930", "536", "388", "993", "187", "23"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.990098124895005, 0.961241271173957, 0.748802216783694,      0.57311780624546, 0.566116817147336, 0.372060995713207, 0.169943558901703,      0.138308900782985, 0.126895427527361, 0.126471147156559,      0.0699911988251757, 0.028818476035451, 0.00298452786835221,      0.000976293334701007, 0.000945553659306952, 0.000392580146001954,      0.000259111318221417, 1.57057936593846e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9493724563 
R squared (OOB):                  0.5831195 

$Forests[[753]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 385000, 365000,      395000, 350000, 399000, 355000, 440000, 410000, 380000, 411000,      415000, 418000, 423000, 415000, 425000, 420000, 390000, 422500,      415000), floor_area_sqm = c(103, 102, 103, 103, 84, 102,      84, 104, 84, 105, 104, 108, 84, 104, 103, 104, 105, 109,      104, 108), storey_order = c(2L, 3L, 1L, 4L, 2L, 3L, 3L, 3L,      4L, 1L, 1L, 3L, 3L, 2L, 2L, 4L, 2L, 1L, 3L, 2L), remaining_lease_mths = c(757,      755, 757, 772, 806, 766, 804, 752, 814, 775, 806, 904, 821,      827, 768, 775, 787, 908, 765, 891), PROX_CBD = c(13.2614515751509,      13.2614515751509, 13.0970803497533, 13.1724132817366, 13.3385512116162,      13.0078000734933, 13.01786092695, 13.1913836000948, 12.8927390133383,      12.8173662852819, 13.1755942624772, 13.7944980809676, 13.3325431063631,      13.4971436153267, 13.0537205387581, 13.5598735525989, 12.7549887608908,      13.9032473641583, 13.4875816574924, 13.8459786715751), PROX_ELDERLYCARE = c(0.99636081833896,      0.99636081833896, 0.830352740740998, 0.906244923447749, 1.09997831443452,      0.748101088186933, 0.807586217367385, 0.779182108791446,      0.702153634905252, 0.548539301056628, 1.08363260419178, 0.91518434198946,      1.22529955141455, 1.36472832701396, 0.569472877275307, 0.555470204987842,      0.556485595404089, 1.01451296282065, 0.428841001075194, 0.429452782693922     ), PROX_HAWKER = c(1.14030290242306, 1.14030290242306, 0.973651338137405,      1.03184370064912, 1.2578245237404, 0.90031621758677, 0.976719939584195,      1.05769292681279, 0.876276656944215, 0.687183343617196, 1.26154745049637,      1.66782294138278, 1.40113048988486, 1.53740682378418, 0.963287544217337,      1.44869421276883, 0.627642822312809, 1.79397933605035, 1.41347495302278,      1.71981564227335), PROX_MRT = c(0.667490524156887, 0.667490524156887,      0.602819058882962, 0.712767869041386, 0.602718547061467,      0.513893198964272, 0.343251427728879, 0.577154139562059,      0.279401054335897, 0.607087114668938, 0.324849533681113,      0.658832763416297, 0.481797794839233, 0.586728597341744,      0.551410176707671, 0.172867375742438, 0.561554903993597,      0.800124130005956, 0.229256973107587, 0.2084775132707), PROX_PARK = c(0.758867978246924,      0.758867978246924, 0.879464356596765, 0.94305137750942, 0.569772965965399,      0.842333894517479, 0.656436399769765, 1.12092772213378, 0.620470631841848,      0.953457314885518, 0.447685878226129, 0.645156432286565,      0.354623255285983, 0.212766960501703, 0.974634241933185,      1.16233583500127, 1.16122098497616, 0.561902145555774, 1.00267286051928,      1.1446906726086), PROX_GOOD_PRISCH = c(1.91909050044553,      1.91909050044553, 1.76550469910092, 1.76071721252525, 2.07907555576542,      1.72660166123773, 1.85318585541752, 1.6842887316892, 1.774803188623,      1.5016146113424, 2.16883728054707, 2.39271928635374, 2.29474127216967,      2.41235725048041, 1.48818847749708, 1.97663004084467, 1.29435567579286,      2.54268815221988, 1.87202126825599, 2.27101821651052), PROX_MALL = c(0.72813233212774,      0.72813233212774, 0.655283448157635, 0.808064657998832, 0.668924040978838,      0.5620231960968, 0.400117032043626, 0.813382909306435, 0.322264379768498,      0.635314033644823, 0.386525633611572, 1.14990641994387, 0.542371475290289,      0.707673546664446, 0.593340478429386, 1.05810160080284, 0.542723135774117,      1.19892197022629, 0.948424723316687, 1.35153556565047), PROX_CHAS = c(0.255705601713763,      0.255705601713763, 0.10733838099953, 0.253073540027742, 0.191227179226131,      1.4078617678234e-08, 0.191102980152323, 0.19044114280624,      0.241407331054591, 0.149554006756045, 0.194419509978617,      0.17469359838053, 0.059226360432522, 0.13417187150752, 0.203693673714882,      0.180657994610612, 0.144180959238343, 0.278906060515125,      0.231037598077535, 0.345234103044859), PROX_SUPERMARKET = c(0.336474046543398,      0.336474046543398, 0.176189281490626, 0.263318229535236,      0.444314653432489, 0.0851968725918189, 0.230446816430876,      0.190441743522314, 0.234452518543083, 0.14719471752053, 0.386520309138909,      0.357404112790227, 0.542367678587035, 0.707669264145537,      0.349948262987797, 0.180658044884504, 0.150188458093997,      0.357092891009527, 0.231037826802092, 0.426625283183798),          WITHIN_350M_KINDERGARTEN = c(2L, 2L, 1L, 1L, 1L, 2L,          3L, 3L, 2L, 3L, 1L, 1L, 0L, 0L, 2L, 2L, 2L, 0L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 1L, 3L, 3L, 2L,          2L, 4L, 4L, 2L, 5L, 3L, 6L, 5L, 2L, 3L, 3L, 2L, 2L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 4L, 6L, 5L, 6L, 5L, 8L,          4L, 5L, 12L, 7L, 10L, 7L, 8L, 11L, 7L, 7L, 10L, 12L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 5L, 4L, 4L, 5L,          4L, 5L, 4L, 4L, 4L, 4L, 6L, 6L, 5L, 3L, 5L, 5L), DNeighbour = c(0,          4.15891823513535, 172.554186589011, 183.307596926416,          192.118251216769, 258.132695202603, 330.360193020188,          381.27836232303, 440.030790730836, 449.621385632683,          534.165852630888, 538.323660399691, 543.404380876176,          579.311830172542, 590.323357601941, 623.995396480319,          626.387059149292, 655.005026795959, 721.302775087203,          756.271845051779)), row.names = c("753", "473", "597",      "225", "618", "103", "789", "229", "493", "523", "131", "542",      "565", "353", "541", "564", "215", "113", "663", "970"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99993951769582, 0.898592295136228, 0.88595227754313, 0.875098638893754,      0.780570239509788, 0.654775354306521, 0.556258752650671,      0.437529044017918, 0.418016306657281, 0.2511209266024, 0.243367719081393,      0.233979168138635, 0.170757884727347, 0.152654282558405,      0.10190129049253, 0.0985904718622447, 0.0624377218116381,      0.00816122364985336, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       699799267 
R squared (OOB):                  -0.1424668 

$Forests[[754]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 450000, 435000,      437000, 470000, 485000, 465000, 403000, 452000, 460000, 455000,      475000, 412000, 460000, 545000, 455000, 365000, 370000, 375000,      420000), floor_area_sqm = c(94, 95, 94, 94, 93, 95, 95, 90,      95, 92, 92, 92, 90, 92, 93, 93, 90, 90, 90, 93), storey_order = c(4L,      3L, 2L, 3L, 5L, 6L, 4L, 3L, 3L, 3L, 5L, 5L, 3L, 3L, 3L, 4L,      3L, 3L, 4L, 1L), remaining_lease_mths = c(1123, 1126, 1113,      1120, 1125, 1113, 1110, 1053, 1121, 1097, 1108, 1098, 1034,      1107, 1134, 1096, 979, 997, 986, 1101), PROX_CBD = c(14.0429369190019,      14.1366846915735, 14.0214886887106, 14.0691382395842, 14.2374266118925,      14.2445424628862, 14.3101587663686, 14.2313196249897, 14.2856092918761,      14.2694643570804, 14.2694643570804, 14.3437499696049, 13.9701294998534,      14.2518409016409, 14.4432157047801, 14.3469943525049, 13.6373310118807,      13.5299248791723, 13.5741440973944, 14.3298082323417), PROX_ELDERLYCARE = c(1.1015647640471,      1.17371591683522, 1.04333655871926, 1.08280856328681, 1.2819446304668,      1.24643506877499, 1.29024298571696, 1.23431696680562, 1.29536834443332,      1.14423906696184, 1.14423906696184, 1.14464302293932, 0.798789790509628,      0.985840321219444, 1.44181352445962, 1.07571195137499, 0.753498484846986,      0.737190256849548, 0.759293685927778, 0.943112693551276),          PROX_HAWKER = c(1.07710025413616, 1.09084844555913, 1.2014358291776,          1.21079813450924, 1.02089221118434, 0.968852406622053,          0.961388959141492, 1.20453145676494, 1.14967766552968,          0.826638245470088, 0.826638245470088, 0.74882220835846,          0.796241674024292, 0.656651462258042, 1.1926703176924,          0.654543769257927, 1.08343538740726, 1.28441999759135,          1.13978469441664, 0.494981643036057), PROX_MRT = c(0.324573358240557,          0.218319465176875, 0.325652198483679, 0.281224364060027,          0.148741201515391, 0.184117552261459, 0.148967878322013,          0.14509881944895, 0.0748886383392391, 0.30438768875815,          0.30438768875815, 0.217663394995295, 0.262922949537813,          0.189142279194464, 0.142722405117506, 0.131478587775223,          0.0904459633140829, 0.189597864599581, 0.147719870982538,          0.122691316210064), PROX_PARK = c(0.58019258504408, 0.474063272255088,          0.524931496780237, 0.468913262301943, 0.440474428767772,          0.481320095248247, 0.444639968372477, 0.30799989212087,          0.297003339879563, 0.599699049952129, 0.599699049952129,          0.636899975343007, 0.929619749314005, 0.785709089572823,          0.164631246691225, 0.731552922713316, 0.802899104641211,          0.695004999747215, 0.739375101722708, 0.760551135167525         ), PROX_GOOD_PRISCH = c(4.9857651679507, 5.09375212835948,          5.02043421457898, 5.07622831499557, 5.16870486361587,          5.1542412945362, 5.21803047984022, 5.24106386657147,          5.27158847877433, 5.12184985907385, 5.12184985907385,          5.1680916684458, 4.76155598853922, 5.03443000866885,          5.44062149940817, 5.13548460888622, 4.47444600576345,          4.45977917937361, 4.41976113712118, 5.05687720866847),          PROX_MALL = c(0.401409437181884, 0.295276560881227, 0.399157770965225,          0.352184781664103, 0.22058685557285, 0.248497232357685,          0.199960318099191, 0.200492724858517, 0.136646142991964,          0.351657486288216, 0.351657486288216, 0.38589862433106,          0.698652085628877, 0.535261743386166, 0.0864828813466827,          0.480981762762808, 0.719665126414215, 0.598877544697789,          0.656440732478167, 0.644100917109673), PROX_CHAS = c(0.0207330025336023,          0.0995517477546361, 0.142774662207743, 0.167321001424632,          0.177995101264401, 0.185564313785613, 0.199960275799137,          0.200492722653611, 0.136646133179357, 0.120456720485379,          0.120456720485379, 0.0401042229543167, 0.224338502615803,          0.121511881264649, 0.0864829242311455, 0.0578525184286013,          0.111923036871509, 0.124645472322039, 0.175269995719201,          0.116678641770301), PROX_SUPERMARKET = c(0.0207321820187816,          0.0995512052866983, 0.142773459146917, 0.167319845962294,          0.177995229543633, 0.185564776027004, 0.199173279096103,          0.210915135620544, 0.146294584623949, 0.244158473149448,          0.244158473149448, 0.165776473264822, 0.281017798180362,          0.121511691834874, 0.0916346746399726, 0.0704323341151683,          0.371011221099329, 0.181636181040517, 0.3594639622224,          0.116679779166118), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 2L, 2L, 0L,          1L, 2L, 4L, 2L, 2L), WITHIN_350M_CHILDCARE = c(6L, 8L,          6L, 8L, 8L, 9L, 8L, 6L, 6L, 10L, 10L, 8L, 7L, 10L, 4L,          7L, 6L, 5L, 6L, 7L), WITHIN_350M_BUS = c(9L, 8L, 9L,          9L, 6L, 7L, 6L, 6L, 8L, 9L, 9L, 8L, 13L, 9L, 5L, 8L,          11L, 8L, 10L, 9L), WITHIN_1KM_PRISCH = c(7L, 7L, 7L,          7L, 7L, 7L, 7L, 6L, 7L, 6L, 6L, 5L, 8L, 6L, 5L, 4L, 8L,          6L, 9L, 5L), DNeighbour = c(0, 111.350960825278, 128.962544341494,          155.46661740137, 195.125767882445, 204.441466952549,          268.125072934284, 276.889570732694, 289.328467553787,          290.43697598989, 295.543008506301, 385.417636735734,          398.52128427667, 423.090524995085, 455.963141561172,          456.672840946131, 531.441891763963, 535.505424730794,          575.089849624771, 583.580818252673)), row.names = c("754",      "76", "878", "57", "537", "349", "142", "283", "32", "434",      "470", "70", "301", "73", "240", "488", "660", "165", "15",      "688"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.928511303787391,      0.904716145713414, 0.863097507156933, 0.788905902921309,      0.769609978311312, 0.622375016889632, 0.600441345096669,      0.568818973693131, 0.565976066495856, 0.55283441001841, 0.317898198816622,      0.284794878797026, 0.225044766856385, 0.151741143343193,      0.150263089646536, 0.0291398667444209, 0.0249556436275473,      0.000834507921808916, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1204029662 
R squared (OOB):                  0.339876 

$Forests[[755]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(325000, 360000, 330000,      333000, 398000, 388000, 330000, 325000, 376000, 390000, 395000,      418888, 4e+05, 360000, 361000, 335000, 368000, 385000, 328000,      373000), floor_area_sqm = c(84, 104, 84, 84, 100, 100, 84,      85, 101, 101, 101, 100, 103, 103, 84, 84, 100, 101, 84, 103     ), storey_order = c(5L, 2L, 4L, 3L, 2L, 4L, 3L, 1L, 2L, 4L,      4L, 2L, 3L, 1L, 4L, 2L, 2L, 3L, 4L, 1L), remaining_lease_mths = c(812,      804, 806, 823, 924, 922, 791, 830, 948, 932, 936, 932, 796,      798, 794, 796, 923, 952, 806, 870), PROX_CBD = c(9.87023127008802,      10.0879656312395, 9.63621863936401, 9.85122377146013, 10.2027088676681,      10.3133134299625, 9.73525531751342, 10.1989356004427, 10.1515839247586,      10.247812625002, 10.5347600839054, 9.64941173000682, 10.2571858212528,      10.1540744969693, 10.1908965186918, 10.2571858212528, 10.5911430304609,      10.5394819073022, 10.2439629519707, 9.95029435977204), PROX_ELDERLYCARE = c(1.35138892750767,      1.31022889057949, 1.48805339077067, 0.999223533815273, 1.63738856945076,      1.4124150938613, 0.869795033999967, 1.08623091115154, 1.93850967877536,      1.89270432318243, 1.31633228018286, 1.9510043332774, 0.969336561855173,      0.85844301108046, 0.891997547710976, 0.969336561855173, 1.2745451415541,      1.55101586165687, 0.904720646157319, 2.09611483432966), PROX_HAWKER = c(0.410023469086153,      0.196699811405185, 0.677896697868769, 0.526313717816828,      0.264427923442986, 0.0623262564011618, 0.687117415591119,      0.368744432216956, 0.608980172673109, 0.561647681218514,      0.259744380023822, 0.940071074791988, 0.543600998034675,      0.614574465644474, 0.594526114354717, 0.543600998034675,      0.314632743063994, 0.463304434183495, 0.616195579705155,      0.876506442172381), PROX_MRT = c(1.23646610314009, 1.09046737609619,      1.32502198166586, 0.907717901248049, 1.392302848886, 1.09471398918577,      0.86810604264512, 0.78040997284139, 1.73271025710532, 1.63637339364314,      1.15842683571226, 1.69853939108909, 0.5984056038899, 0.544743966599557,      0.554399001312584, 0.5984056038899, 1.14211364891441, 1.31136747445593,      0.52596302633555, 1.8917195123599), PROX_PARK = c(0.375073916060521,      0.604882226694947, 0.202594030185392, 0.510337594738446,      0.728383914708498, 0.826294351272671, 0.452373350223662,      0.808282577864154, 0.464183104254495, 0.443665461164749,      1.00657829367171, 0.624691995850973, 0.690393008756984, 0.578916018382343,      0.61263038213259, 0.690393008756984, 0.997953552798557, 0.594979546415276,      0.626908579085899, 0.516721166595223), PROX_GOOD_PRISCH = c(0.706117631385061,      0.87937610392538, 0.53169554186008, 1.05242409875061, 0.689163418131917,      0.993301788551023, 1.15234422615158, 1.199846441039, 0.447003801568155,      0.550324531917386, 1.12709017589061, 0.107363170703005, 1.38840710840139,      1.40445923276907, 1.40421671412888, 1.38840710840139, 1.15731102426836,      0.89296386953394, 1.44855804010835, 0.213708578130609), PROX_MALL = c(0.445899708163642,      0.441232897113797, 0.564979440463645, 0.756051767526383,      0.12742430838485, 0.450275200033962, 0.907839978504126, 0.663851500718272,      0.217974225134877, 0.190941194230935, 0.464767570965945,      0.625847194134012, 0.638527944164543, 0.685950169481642,      0.685823836221668, 0.638527944164543, 0.441630162720786,      0.357726596913911, 0.644656189163291, 0.493813340134231),          PROX_CHAS = c(0.0764125853219005, 0.177420148260447,          0.204909081807225, 3.39583191183935e-08, 0.127424254451578,          0.071192987667569, 0.116614388177292, 0.0710453772718398,          0.217974279370684, 0.190941257524933, 0.272565000598528,          0.134178633248207, 0.0819899420632749, 0.170954716034814,          0.151788880767358, 0.0819899420632749, 0.327465416824022,          0.263233285458842, 0.155315138624813, 0.36937911638564         ), PROX_SUPERMARKET = c(0.158655939798418, 0.320748009942088,          0.145410708854306, 0.350225948243757, 0.129189539659537,          0.330151298165832, 0.458729641056945, 0.00115080458448496,          0.216455869736569, 0.19229406714866, 0.464768447350912,          0.344381560072065, 0.123486578338512, 0.171715993026927,          0.152401712794372, 0.123486578338512, 0.441631117888638,          0.263232243208913, 0.18505229065347, 0.359694409353041         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 1L, 0L, 0L, 1L,          0L, 0L, 1L, 3L, 1L, 3L, 0L, 0L, 0L, 0L, 1L, 2L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 3L, 3L, 6L, 4L,          2L, 4L, 9L, 10L, 1L, 3L, 2L, 2L, 2L, 2L, 1L, 6L, 1L,          7L), WITHIN_350M_BUS = c(8L, 11L, 7L, 10L, 13L, 15L,          10L, 12L, 10L, 10L, 15L, 8L, 10L, 14L, 12L, 10L, 13L,          15L, 10L, 12L), WITHIN_1KM_PRISCH = c(5L, 5L, 3L, 4L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 5L, 5L, 6L, 5L, 4L, 4L,          6L, 3L), DNeighbour = c(0, 243.726064452534, 292.078420790278,          351.62291433211, 386.103547300522, 456.286220104143,          480.916659406563, 516.911592360281, 602.522677596765,          625.052510275109, 665.732961189986, 677.736244575327,          692.034951488515, 698.265577708669, 700.207418109537,          700.537416162561, 722.036632017332, 741.447468015738,          751.657454932242, 752.304319083457)), row.names = c("755",      "292", "189", "129", "771", "513", "921", "967", "366", "667",      "577", "459", "494", "560", "447", "591", "718", "769", "668",      "780"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.8010996216295,      0.721252379633831, 0.610808468110863, 0.542575358386905,      0.399595593477476, 0.349693676459373, 0.278665288323222,      0.128561412329006, 0.0959061906469715, 0.047048906676436,      0.0354999997734877, 0.0236568811135698, 0.0191828685446494,      0.0178767620563058, 0.017659026560117, 0.00621698911434542,      0.000821089343461737, 2.9547826638768e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       538952669 
R squared (OOB):                  0.3923738 

$Forests[[756]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(710000, 675000, 662000,      715000, 680000, 550000, 672000, 660000, 440000, 340000, 4e+05,      363000, 358000, 345000, 430000, 370000, 575000, 390000, 355000,      650000), floor_area_sqm = c(93, 95, 95, 95, 95, 102, 85,      85, 91, 84, 104, 84, 84, 84, 104, 84, 101, 84, 84, 104),          storey_order = c(6L, 2L, 3L, 6L, 4L, 3L, 5L, 3L, 5L,          1L, 2L, 4L, 3L, 1L, 2L, 3L, 6L, 1L, 3L, 3L), remaining_lease_mths = c(1084,          1093, 1093, 1099, 1084, 761, 1042, 1032, 669, 780, 783,          780, 770, 789, 781, 777, 932, 783, 782, 815), PROX_CBD = c(6.17931132662417,          6.15852201326599, 6.11286474740545, 6.06656257116635,          6.04001281876484, 6.04257091454572, 6.58265946872266,          6.62545736407856, 6.95185067667089, 6.73119135364588,          6.8579883001408, 6.82164733234375, 6.82164733234375,          7.23308787648785, 7.27303659463988, 7.32999369210923,          5.56255806753875, 4.91139217141794, 7.37752466520609,          7.71625132507906), PROX_ELDERLYCARE = c(0.411122241220865,          0.428116600598184, 0.471592353212743, 0.516985202466339,          0.545921172841312, 0.548656319889636, 0.129826558983194,          0.121758896932011, 0.368543492371998, 0.709869492714774,          0.650979480304367, 0.729511559050305, 0.729511559050305,          0.804640181087392, 0.949520652768775, 1.04617467786566,          0.0599829320550621, 0.53976690699019, 1.11141904944431,          1.13999552495818), PROX_HAWKER = c(0.114709112077857,          0.104458461300263, 0.0855319563513606, 0.0900485470251793,          0.0606577495598573, 0.19523132016882, 0.37361464573735,          0.33268573973532, 0.163396016993116, 0.84617550022745,          0.732876252375814, 0.834207881424508, 0.834207881424508,          0.727393295990439, 0.905159668549179, 1.00458194418859,          0.248163252655802, 0.526793317066312, 1.06790139631185,          0.888477780938884), PROX_MRT = c(0.54480998513683, 0.567634817298681,          0.576684647572531, 0.530436532640755, 0.53617676606472,          0.448203274012385, 0.288098631383321, 0.255638745600017,          0.258776848421036, 0.447149108468339, 0.479854345281657,          0.401668294921849, 0.401668294921849, 0.626719191507479,          0.477339162120678, 0.446590670593176, 0.389634730949481,          0.348715950460643, 0.450606800129455, 0.227897729387739         ), PROX_PARK = c(0.461766774013401, 0.487498062645995,          0.517760851715104, 0.548254609843109, 0.524571131123829,          0.651264615899835, 0.734858817801552, 0.741691321664553,          0.871860056746433, 1.30601230217613, 1.26891760289394,          1.33915084667526, 1.33915084667526, 1.17683143601381,          1.28136359713013, 1.30043300411079, 0.136342453682232,          0.454973393404149, 1.30417314517193, 0.374132090410645         ), PROX_GOOD_PRISCH = c(1.95037752635058, 1.97696478280336,          2.00772186702724, 2.03651743937875, 2.00925132829891,          2.14268529299874, 2.10026546945211, 2.08436883673306,          1.99104033276262, 2.67147237000904, 2.57894825178105,          2.67483404440455, 2.67483404440455, 2.53413597667736,          2.72285479219865, 2.81856751915823, 3.30515733544794,          3.07957394860643, 2.87682745937193, 1.93537396204111),          PROX_MALL = c(0.476611693189829, 0.446404896609829, 0.403935094648282,          0.365617038961166, 0.387042201482337, 0.264532440460292,          0.712222885156031, 0.757747380414752, 1.10491400246256,          0.894914409230097, 0.985446043286547, 0.977306285381771,          0.977306285381771, 1.33824767405872, 1.40144317349524,          1.4733570331857, 0.719385659919303, 0.779372162435287,          1.52964479685301, 1.9342939090943), PROX_CHAS = c(0.10259225576309,          0.0766942583569258, 0.0679258481743644, 0.0929349198733403,          0.134421273847083, 0.12619956254809, 0.19769969897302,          0.152169077912936, 0.197049444171332, 0.468632365618207,          0.418063314797021, 0.389404577789016, 0.389404577789016,          0.335243362149438, 0.150676124399865, 0.100781853121145,          0.174009235365936, 0.297280152993809, 0.123680988169118,          0.147762521806201), PROX_SUPERMARKET = c(0.134806953278168,          0.11965836137487, 0.0895469396191502, 0.0785030623714358,          0.0393286469640316, 0.178930757423705, 0.255985378039003,          0.21094349839638, 0.145490551360364, 0.541263540151477,          0.471666412940503, 0.457775852816324, 0.457775852816324,          0.400791637001426, 0.216512452964216, 0.154588063793208,          0.173881454941229, 0.212061147632098, 0.15284622075069,          0.185503456748824), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L,          1L, 1L, 1L, 2L, 3L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 4L, 4L, 0L, 0L, 3L, 2L, 1L, 1L, 1L, 2L, 4L, 4L,          4L, 2L, 5L, 3L), WITHIN_350M_BUS = c(6L, 6L, 6L, 8L,          8L, 7L, 2L, 2L, 4L, 4L, 3L, 4L, 4L, 4L, 7L, 8L, 2L, 7L,          9L, 6L), WITHIN_1KM_PRISCH = c(2L, 2L, 1L, 1L, 1L, 1L,          2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L         ), DNeighbour = c(0, 33.225872500455, 85.2410595407494,          124.182143842649, 145.313485008315, 213.890542472542,          451.289475837812, 478.731205389505, 775.003456003014,          930.816019530306, 937.271534568706, 987.577481013771,          987.76508677466, 1180.9494694533, 1300.42445994659, 1397.83526712787,          1399.30183839194, 1446.16324625318, 1463.30086261748,          1551.15407922601)), row.names = c("756", "23", "536",      "297", "930", "453", "388", "841", "492", "529", "168", "322",      "46", "171", "611", "187", "596", "251", "948", "809"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999082569313591, 0.993969385822038, 0.987222542837376,      0.982524804102775, 0.962333549743068, 0.837875053018087,      0.818569144866701, 0.563054599456109, 0.409477636264875,      0.40308824947664, 0.353606068274528, 0.353422915999543, 0.176708808333717,      0.0883003043350549, 0.0353116118052214, 0.0346737579773904,      0.0171059994451949, 0.0121147141274424, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6156629162 
R squared (OOB):                  0.7192842 

$Forests[[757]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 365000, 342000,      415000, 335000, 345000, 428000, 420000, 358888, 420000, 316000,      304000, 390000, 340000, 370000, 446000, 365000, 365000, 380000,      360000), floor_area_sqm = c(97, 95, 94, 100, 90, 92, 98,      90, 91, 99, 104, 104, 104, 104, 104, 107, 107, 105, 102,      103), storey_order = c(1L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 3L,      3L, 1L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 2L, 1L), remaining_lease_mths = c(734,      735, 747, 944, 731, 742, 730, 925, 763, 929, 777, 776, 763,      772, 763, 783, 766, 771, 938, 777), PROX_CBD = c(13.4040436118709,      13.3652677077184, 13.7770670669378, 13.1525533734461, 13.8901285505698,      13.8901285505698, 14.0949321583848, 12.960867808991, 13.6826822978472,      13.2222340992065, 13.8730731524118, 13.8730731524118, 13.1145091682395,      13.1145091682395, 13.075732494377, 13.1163383572019, 13.578535689825,      14.8222691165004, 12.4172252614445, 13.7231688188033), PROX_ELDERLYCARE = c(0.954835536666776,      0.876024529291782, 0.919307603677702, 0.640770029240432,      0.540311266279695, 0.540311266279695, 1.07365166923746, 0.579007844644764,      0.000158780971194199, 0.385934705647939, 0.192118066579221,      0.192118066579221, 0.233566729538939, 0.233566729538939,      0.206309775801723, 0.258125844069092, 0.535215785060316,      0.151522520392741, 0.466477120293287, 0.681177733621966),          PROX_HAWKER = c(0.780321580506598, 0.775887609068758,          0.478671478091809, 0.959649545299011, 0.213123049695643,          0.213123049695643, 0.516176882783883, 1.16344345150942,          0.699744847940348, 1.08380419022874, 0.635045114374877,          0.635045114374877, 1.24018164124527, 1.24018164124527,          1.2806114078583, 1.23349193679857, 0.775756145922257,          0.189112683951821, 1.89270186421095, 0.601426993813282         ), PROX_MRT = c(0.515309591544804, 0.585785046275015,          0.771349314593772, 0.944408516927639, 0.793013171832836,          0.793013171832836, 0.499812381699912, 0.899387073359532,          0.751023886560838, 0.503688459146237, 0.865482366580506,          0.865482366580506, 0.402767024758649, 0.402767024758649,          0.218393806785847, 0.166998983475289, 0.357978123578611,          0.506610369321483, 0.847625669994717, 0.498221170198522         ), PROX_PARK = c(1.22140134317452, 1.30724345285799,          0.941140572803456, 1.65277848527316, 1.23128896715218,          1.23128896715218, 0.62523741493865, 1.44660566239193,          1.77145949687945, 1.61082819122054, 1.73324375775577,          1.73324375775577, 1.4917670023494, 1.4917670023494, 1.31516124688894,          1.28385310080255, 1.33984402369384, 1.20591145519053,          0.790049777369869, 1.26781451063295), PROX_GOOD_PRISCH = c(2.95770979509606,          2.95461231779958, 3.3146343023011, 2.95137840528657,          3.56420611596829, 3.56420611596829, 3.57828936266804,          2.82458087567675, 3.58938982364218, 3.2388029474634,          3.76914808697313, 3.76914808697313, 3.15473759747012,          3.15473759747012, 3.06740437701091, 3.10133739012884,          3.55013641033528, 4.44405903659268, 2.44639044951476,          3.673854441535), PROX_MALL = c(0.412160376682232, 0.473263954532778,          0.672803550263317, 0.703422933264244, 1.05377974643614,          1.05377974643614, 0.812049880186, 0.695129776671669,          0.770100764029299, 0.587950861513872, 0.861712986146148,          0.861712986146148, 0.504156272689578, 0.504156272689578,          0.332903613799786, 0.281310431650798, 0.305514521023982,          1.74752862756084, 0.95273084922996, 0.406890039239853         ), PROX_CHAS = c(0.240863562772424, 0.179342279988699,          0.0886717393158711, 0.1365287941905, 0.0812638133573676,          0.0812638133573676, 0.135156069731972, 0.341366062526918,          0.110149755252424, 0.151225190585885, 0.0967538959757692,          0.0967538959757692, 0.11048408202451, 0.11048408202451,          0.122328851042638, 0.155371621529032, 0.282171570268124,          0.191193294854487, 0.132703338642494, 0.176857487498571         ), PROX_SUPERMARKET = c(0.422907964790702, 0.487840963146543,          0.334979160094168, 0.688592108834651, 0.082811926566736,          0.082811926566736, 0.352618767904154, 0.668273194253219,          0.11210687568128, 0.459946280432931, 0.094684564379848,          0.094684564379848, 0.362446168440829, 0.362446168440829,          0.193246634773484, 0.141466460051892, 0.281417393052806,          0.188017328828043, 0.453312253927337, 0.270532795629183         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 1L, 1L,          0L, 0L, 2L, 0L, 2L, 2L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 6L, 3L, 2L, 4L, 4L,          1L, 1L, 3L, 5L, 3L, 3L, 6L, 6L, 4L, 4L, 4L, 2L, 3L, 4L         ), WITHIN_350M_BUS = c(6L, 6L, 10L, 6L, 4L, 4L, 9L, 2L,          9L, 8L, 8L, 8L, 7L, 7L, 10L, 9L, 10L, 6L, 9L, 8L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 2L, 4L, 4L, 2L, 3L, 2L, 4L, 2L, 2L, 3L, 3L, 3L,          3L, 4L, 2L, 2L, 3L), DNeighbour = c(0, 103.630974069605,          371.903606166234, 600.20104295642, 648.879783547045,          650.595832172897, 706.90948629401, 762.311763096664,          953.597924163204, 1007.17374103675, 1057.39042256982,          1058.10795979487, 1137.67805979518, 1141.49925416494,          1371.97924420269, 1395.73238096914, 1439.31545580883,          1481.990221479, 1558.17080129698, 1619.90985443502)), row.names = c("757",      "238", "337", "496", "90", "214", "25", "831", "1000", "350",      "230", "36", "164", "844", "929", "105", "856", "64", "296",      "960"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.991831583800684,      0.897361547611452, 0.744283329727835, 0.704839816111884,      0.703413645820138, 0.655396089632397, 0.60613385917065, 0.427014634966121,      0.376297515211161, 0.32938653015737, 0.328722879647459, 0.256807099963059,      0.253454323723287, 0.0799075641039488, 0.0663712787857509,      0.0443269744945391, 0.0265793528575577, 0.00559095979843369,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1097636048 
R squared (OOB):                  0.2671872 

$Forests[[758]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(485000, 430000, 410000,      355000, 411000, 380000, 399000, 425000, 365000, 418000, 410000,      625000, 350000, 420000, 420000, 385000, 395000, 430000, 423000,      440000), floor_area_sqm = c(104, 104, 84, 84, 104, 105, 102,      104, 103, 84, 104, 94, 84, 103, 105, 102, 103, 103, 104,      104), storey_order = c(3L, 1L, 4L, 3L, 1L, 1L, 3L, 3L, 1L,      3L, 2L, 3L, 2L, 2L, 2L, 3L, 4L, 2L, 2L, 3L), remaining_lease_mths = c(823,      805, 814, 804, 806, 775, 766, 747, 757, 821, 761, 1085, 806,      757, 787, 755, 772, 764, 827, 752), PROX_CBD = c(12.533007335037,      12.514948085948, 12.8927390133383, 13.01786092695, 13.1755942624772,      12.8173662852819, 13.0078000734933, 12.4246534304877, 13.0970803497533,      13.3325431063631, 12.2901811097239, 13.3230141016287, 13.3385512116162,      13.2614515751509, 12.7549887608908, 13.2614515751509, 13.1724132817366,      12.3243460542753, 13.4971436153267, 13.1913836000948), PROX_ELDERLYCARE = c(0.635175801858358,      0.754587815834464, 0.702153634905252, 0.807586217367385,      1.08363260419178, 0.548539301056628, 0.748101088186933, 0.223353489993969,      0.830352740740998, 1.22529955141455, 0.180150537957213, 1.40693910044933,      1.09997831443452, 0.99636081833896, 0.556485595404089, 0.99636081833896,      0.906244923447749, 0.362207242709056, 1.36472832701396, 0.779182108791446     ), PROX_HAWKER = c(0.80610763907972, 0.918952349521139, 0.876276656944215,      0.976719939584195, 1.26154745049637, 0.687183343617196, 0.90031621758677,      0.283538945902673, 0.973651338137405, 1.40113048988486, 0.155357947035291,      1.58753442345041, 1.2578245237404, 1.14030290242306, 0.627642822312809,      1.14030290242306, 1.03184370064912, 0.290415492755609, 1.53740682378418,      1.05769292681279), PROX_MRT = c(0.317839503016409, 0.361279603881815,      0.279401054335897, 0.343251427728879, 0.324849533681113,      0.607087114668938, 0.513893198964272, 0.694199692700576,      0.602819058882962, 0.481797794839233, 0.729338839878115,      0.336472807994142, 0.602718547061467, 0.667490524156887,      0.561554903993597, 0.667490524156887, 0.712767869041386,      0.559245805822074, 0.586728597341744, 0.577154139562059),          PROX_PARK = c(0.503650356541676, 0.436213246481288, 0.620470631841848,          0.656436399769765, 0.447685878226129, 0.953457314885518,          0.842333894517479, 1.19561442246869, 0.879464356596765,          0.354623255285983, 1.26762597166046, 0.286498275370587,          0.569772965965399, 0.758867978246924, 1.16122098497616,          0.758867978246924, 0.94305137750942, 1.218970746516,          0.212766960501703, 1.12092772213378), PROX_GOOD_PRISCH = c(1.74800143577954,          1.8549021101536, 1.774803188623, 1.85318585541752, 2.16883728054707,          1.5016146113424, 1.72660166123773, 1.09898709469432,          1.76550469910092, 2.29474127216967, 0.992456269301591,          2.51508960065264, 2.07907555576542, 1.91909050044553,          1.29435567579286, 1.91909050044553, 1.76071721252525,          0.889618707353532, 2.41235725048041, 1.6842887316892),          PROX_MALL = c(0.260189306400009, 0.294446956047624, 0.322264379768498,          0.400117032043626, 0.386525633611572, 0.635314033644823,          0.5620231960968, 0.626909601034773, 0.655283448157635,          0.542371475290289, 0.649064194608972, 0.614219522084071,          0.668924040978838, 0.72813233212774, 0.542723135774117,          0.72813233212774, 0.808064657998832, 0.471904090765479,          0.707673546664446, 0.813382909306435), PROX_CHAS = c(0.227429082883153,          0.29446060409402, 0.241407331054591, 0.191102980152323,          0.194419509978617, 0.149554006756045, 1.4078617678234e-08,          0.221655673315632, 0.10733838099953, 0.059226360432522,          0.128297543182753, 0.389026612692193, 0.191227179226131,          0.255705601713763, 0.144180959238343, 0.255705601713763,          0.253073540027742, 0.193597629002809, 0.13417187150752,          0.19044114280624), PROX_SUPERMARKET = c(0.260187243864149,          0.294460269353442, 0.234452518543083, 0.230446816430876,          0.386520309138909, 0.14719471752053, 0.0851968725918189,          0.209750471448386, 0.176189281490626, 0.542367678587035,          0.159863951308791, 0.614233853755243, 0.444314653432489,          0.336474046543398, 0.150188458093997, 0.336474046543398,          0.263318229535236, 0.331501685351864, 0.707669264145537,          0.190441743522314), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 3L, 1L, 3L, 2L, 2L, 1L, 0L, 4L, 1L, 1L, 2L, 2L,          2L, 1L, 2L, 0L, 3L), WITHIN_350M_CHILDCARE = c(3L, 2L,          4L, 2L, 5L, 2L, 2L, 5L, 1L, 6L, 5L, 5L, 3L, 2L, 3L, 2L,          3L, 4L, 5L, 4L), WITHIN_350M_BUS = c(7L, 8L, 4L, 5L,          12L, 5L, 6L, 4L, 4L, 10L, 3L, 10L, 5L, 6L, 7L, 6L, 6L,          4L, 7L, 8L), WITHIN_1KM_PRISCH = c(3L, 2L, 4L, 4L, 4L,          5L, 4L, 5L, 4L, 4L, 5L, 1L, 5L, 4L, 5L, 4L, 4L, 6L, 4L,          5L), DNeighbour = c(0, 141.648314802228, 450.018744205918,          564.499403152285, 636.500201053701, 656.304902448465,          672.873714492852, 753.982906056908, 775.398888029803,          796.754778497106, 798.595690430886, 856.415893136586,          881.441086476133, 890.017273707606, 893.316097558523,          893.917067929472, 925.028098302518, 959.730646194405,          966.955360887642, 1092.33090918402)), row.names = c("758",      "12", "493", "789", "131", "523", "103", "186", "597", "565",      "518", "559", "618", "753", "215", "473", "225", "861", "353",      "229"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.96665141134177,      0.689352069421787, 0.537192314473022, 0.436209786537377,      0.408325622043945, 0.385077831254781, 0.274107792861652,      0.246118037793288, 0.218990433412464, 0.216692806093935,      0.148458513991641, 0.121699366518848, 0.11297784618859, 0.109687717468858,      0.109092268947093, 0.080012154972725, 0.0520059037174423,      0.046821168390432, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2915814380 
R squared (OOB):                  0.1231494 

$Forests[[759]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(475000, 440000, 430000,      426888, 460000, 422000, 390000, 485000, 455000, 460000, 458888,      450000, 382000, 510000, 420000, 468000, 452000, 425000, 403500,      388000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 90, 95,      92, 92, 92, 92, 86, 92, 92, 92, 92, 92, 90, 90), storey_order = c(2L,      2L, 1L, 1L, 5L, 2L, 5L, 5L, 4L, 3L, 4L, 3L, 2L, 5L, 2L, 4L,      2L, 4L, 5L, 1L), remaining_lease_mths = c(1126, 1136, 1134,      1141, 1136, 1132, 978, 1141, 1136, 1137, 1130, 1136, 989,      1133, 1139, 1124, 1133, 988, 965, 956), PROX_CBD = c(12.6532888174316,      12.6445046545469, 12.5852639843962, 12.5841594105866, 12.5778468618744,      12.6523002899419, 12.4059518996545, 12.8190940082697, 12.5530445309639,      12.6444338023734, 12.6444338023734, 12.6444338023734, 12.3082954752684,      12.8180148044036, 12.4951121122816, 12.5372560863306, 12.8941535537835,      12.1902934701837, 12.0682850666201, 12.6254404323309), PROX_ELDERLYCARE = c(0.373604611296459,      0.316798451576888, 0.3637938018331, 0.419823195233641, 0.25879478544564,      0.17445131765005, 0.404564014080405, 0.268492105828742, 4.52036057904239e-07,      0.0933099122535032, 0.0933099122535032, 0.0933099122535032,      0.583230122785789, 0.265081039187363, 0.0780281999502717,      0.066903342124331, 0.346816364720296, 0.362754738306624,      0.36227142211874, 0.92626814118798), PROX_HAWKER = c(0.440383933038266,      0.385855619963418, 0.45815519033126, 0.512822421809829, 0.361759384229333,      0.228019105088385, 0.551023632791116, 0.146347761938812,      0.183834631869038, 0.0943584031018698, 0.0943584031018698,      0.0943584031018698, 0.732610931237137, 0.116173376637396,      0.227760265989261, 0.184899994018696, 0.172433027954251,      0.536726116414185, 0.732401821736703, 1.13552097839855),          PROX_MRT = c(0.24828698655044, 0.290856617513635, 0.305105021876954,          0.285300897266269, 0.325317058740364, 0.189124878414716,          0.467412150427879, 0.0524349257152741, 0.225183269009929,          0.135663244459145, 0.135663244459145, 0.135663244459145,          0.348338435446781, 0.0414043955932523, 0.288636635543175,          0.250680884626282, 0.133852264483784, 0.364194860258715,          0.353072027979069, 0.252582104498609), PROX_PARK = c(0.981635622560504,          0.927332929158558, 0.998305920751222, 1.05356492524152,          0.898636927133822, 0.76865606278053, 1.06942514246801,          0.639036828502152, 0.665189387379371, 0.61385987529272,          0.61385987529272, 0.61385987529272, 1.248380402738, 0.594833919624026,          0.64692671777276, 0.614568616662392, 0.541994755536806,          0.883674706708426, 1.2554933111164, 0.682542858399859         ), PROX_GOOD_PRISCH = c(3.08870420529617, 3.06407026512831,          3.02473222579279, 3.04090040576321, 2.98751376551561,          3.02962689364369, 2.85954585658161, 3.16783392704602,          2.90013878468328, 2.98554640042679, 2.98554640042679,          2.98554640042679, 2.82059786507503, 3.15789060893291,          2.83249303987555, 2.87119716545371, 3.22227453062783,          2.54749739008747, 2.66094910730305, 3.31643945338342),          PROX_MALL = c(0.475487624694748, 0.525247230278188, 0.450387082903272,          0.39575302739997, 0.550769417999913, 0.680457081346124,          0.423524868376446, 0.842111664425906, 0.801147315442336,          0.835997866672575, 0.835997866672575, 0.835997866672575,          0.312386349772529, 0.881741038155881, 0.848059510883206,          0.863947607104433, 0.965068597681967, 0.835543217968543,          0.424043071559413, 0.289170330853986), PROX_CHAS = c(0.362882313204726,          0.312339613016365, 0.324614821605945, 0.369996201265779,          0.236995708134403, 0.162820120107843, 0.187639553192951,          0.0812086980787344, 0.0780281620295796, 0.102096070463208,          0.102096070463208, 0.102096070463208, 0.200650927390068,          0.0772642002388838, 3.19858778746232e-08, 0.0439945201117045,          0.115846127710365, 0.167384851183216, 0.0850792531740411,          0.248410865511824), PROX_SUPERMARKET = c(0.36465940083402,          0.312339147167174, 0.389269910824952, 0.385003628727568,          0.299832635957983, 0.162819600148508, 0.375814638453933,          0.0812089624400091, 0.189775839444753, 0.102095775430648,          0.102095775430648, 0.102095775430648, 0.200651971059786,          0.0772646744727167, 0.255060837787685, 0.218453608018692,          0.115845823699909, 0.552359009160243, 0.0850782630125017,          0.298638993269614), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 3L,          1L, 1L, 2L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L,          4L, 4L, 5L, 6L, 4L, 7L, 7L, 7L, 7L, 7L, 4L, 6L, 5L, 6L,          5L, 3L, 5L, 8L), WITHIN_350M_BUS = c(11L, 11L, 11L, 10L,          8L, 11L, 10L, 9L, 11L, 10L, 10L, 10L, 8L, 9L, 10L, 10L,          6L, 12L, 12L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          5L, 4L, 4L, 5L, 4L, 4L, 4L, 4L, 4L, 6L, 3L, 4L, 4L, 3L,          3L, 7L, 6L), DNeighbour = c(0, 61.4059888897771, 78.0281890057386,          94.1548644170094, 133.638581112607, 218.148372662354,          255.730732189355, 362.464467293843, 374.975033977498,          377.150270590814, 378.356205873454, 383.845623997904,          387.390797035836, 405.64026254328, 440.046116681772,          440.386625383772, 486.08166973225, 583.996349440915,          675.629587953097, 696.719921870879)), row.names = c("759",      "144", "180", "868", "355", "311", "138", "44", "764", "92",      "807", "166", "231", "115", "791", "672", "371", "783", "860",      "111"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.984524491442228,      0.975072172447535, 0.963807789179001, 0.927770653691455,      0.813538277743314, 0.748700184526498, 0.53194561512105, 0.504583178760927,      0.49980629039101, 0.497155961887244, 0.485075223326699, 0.477261044321929,      0.436956131751771, 0.361303662065066, 0.360561581685794,      0.263430083703656, 0.0884509347632326, 0.00355519526972051,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       614172376 
R squared (OOB):                  0.4617704 

$Forests[[760]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(535000, 545000, 490000,      532000, 520000, 460000, 4e+05, 589000, 498000, 510000, 403000,      465000, 430000, 550000, 550000, 455000, 455000, 510000, 432000,      460000), floor_area_sqm = c(93, 93, 95, 96, 93, 92, 92, 96,      93, 92, 92, 93, 92, 98, 95, 93, 92, 97, 93, 93), storey_order = c(4L,      5L, 2L, 4L, 4L, 2L, 1L, 6L, 2L, 3L, 1L, 5L, 1L, 4L, 4L, 5L,      4L, 2L, 5L, 3L), remaining_lease_mths = c(1118, 1127, 1111,      1111, 1118, 1137, 1131, 1111, 1102, 1136, 1138, 1097, 1128,      1103, 1115, 1138, 1133, 1104, 1129, 1138), PROX_CBD = c(13.8964286142315,      13.8964286142315, 13.7780295697528, 13.8842234613226, 13.7912064237251,      13.9481332653994, 13.9748767742628, 13.8838492138892, 13.8269911518463,      14.0250110126613, 13.9348601041022, 13.8110145095205, 13.983033341901,      13.7784857598507, 13.9206851659757, 13.5153222954464, 13.5263069451707,      13.7787547800329, 13.4495242740615, 13.8880322509317), PROX_ELDERLYCARE = c(0.28821019895416,      0.28821019895416, 0.24280876806526, 0.284905700992106, 0.194902312085005,      0.108372417523696, 0.0869602171534455, 0.321249151015697,      0.272443342502121, 0.0392522324995346, 0.122633260073778,      0.2424730747692, 0.0819455196406728, 0.303554199654945, 0.410984632703067,      0.128038783583345, 0.13293861465481, 0.357313426679343, 0.226392675254826,      0.250782943854859), PROX_HAWKER = c(0.700607063348248, 0.700607063348248,      0.855348356505915, 0.667389882084889, 0.761066408094757,      0.783686601130967, 0.759405218095962, 0.661984274687099,      0.718894335359525, 0.732915378457501, 0.848294615942255,      0.93957565430704, 0.818439961244233, 0.771130061467184, 0.63246529422046,      1.06471945671836, 1.0232116664491, 0.779750574682814, 1.13086059974118,      0.989318285046145), PROX_MRT = c(0.214342865325431, 0.214342865325431,      0.290902656750774, 0.172676244118343, 0.263976344610204,      0.146013494832411, 0.16215489673441, 0.202599849124069, 0.250191496834268,      0.179377644983316, 0.066674836544346, 0.110074032088272,      0.0961191462833423, 0.334453451125385, 0.247793554682504,      0.531733722241289, 0.529059791722705, 0.373119808041594,      0.537207200764636, 0.0905698875540676), PROX_PARK = c(0.945155408432775,      0.945155408432775, 1.08412864631293, 0.946790994443363, 1.03946212768551,      0.964943529987853, 0.93793434477989, 0.953674473627188, 1.00953333913803,      0.898948825756494, 1.01289159319472, 1.12286028608686, 0.973290645087517,      1.07038952907209, 0.9355470513087, 1.12627074536918, 1.00320858387115,      1.07510958061046, 1.14705623529365, 1.13098813526459), PROX_GOOD_PRISCH = c(4.42474408393319,      4.42474408393319, 4.27934963146811, 4.46427355245829, 4.37243865161908,      4.41058426346667, 4.4381077472328, 4.48950135049007, 4.43409233459216,      4.48326906164864, 4.3780728039611, 4.2580170038876, 4.42376284483209,      4.41640053984819, 4.55661004860153, 4.05859518452173, 4.12550653324601,      4.43794264479214, 3.97306691053722, 4.29841605508598), PROX_MALL = c(0.36232957329041,      0.36232957329041, 0.507308338763366, 0.384398044205003, 0.47180896375681,      0.431747484707969, 0.408666125180857, 0.415387276861254,      0.464449368072494, 0.387952579177684, 0.500682206465503,      0.585854127158584, 0.475935346664486, 0.546157830895501,      0.441605558767423, 0.741140095950697, 0.734460127270614,      0.579723774298741, 0.817008429043632, 0.648384322611893),          PROX_CHAS = c(0.190952462752685, 0.190952462752685, 0.246000912873009,          0.0936868185767241, 3.14247486029477e-08, 0.0812590805558053,          0.0955424375353944, 0.130388475133542, 0.093713435160417,          0.116095717847762, 3.70448785353559e-08, 0.123846030022364,          0.0483941894268844, 0.171232412843018, 0.230184731543739,          0.0484693686848179, 0.164485608616764, 0.2330532561781,          0.142936854782623, 0.0495611607390083), PROX_SUPERMARKET = c(0.190953240917096,          0.190953240917096, 0.271122867675942, 0.093687407280864,          8.52808058992138e-07, 0.194128300134642, 0.205979542456043,          0.130388583033251, 0.0937132175773042, 0.21237786594893,          0.112910168339451, 0.157551778944521, 0.123899374628808,          0.171231859107883, 0.23018467784701, 0.321659607097496,          0.265115106421715, 0.233052713938452, 0.417643104955167,          0.0495614942866338), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 0L, 1L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 3L, 4L, 3L, 4L, 3L, 5L, 5L, 5L, 3L, 4L, 5L, 4L, 4L,          5L, 4L, 3L, 3L), WITHIN_350M_BUS = c(9L, 9L, 9L, 7L,          8L, 7L, 6L, 9L, 8L, 9L, 11L, 12L, 11L, 7L, 13L, 6L, 2L,          11L, 5L, 11L), WITHIN_1KM_PRISCH = c(5L, 5L, 6L, 5L,          5L, 4L, 4L, 5L, 5L, 4L, 4L, 4L, 4L, 6L, 5L, 5L, 6L, 8L,          4L, 4L), DNeighbour = c(0, 4.38382080506692, 164.265970483249,          174.345823201832, 195.816822333525, 240.555396940166,          249.056418821938, 256.603544186792, 258.416565360118,          279.094024915753, 315.56382832366, 321.620074915019,          334.125383587075, 348.903493043975, 359.547028427265,          375.651939678461, 407.992734095099, 412.277378791011,          446.776408425403, 459.454890144105)), row.names = c("760",      "442", "282", "670", "420", "34", "690", "723", "376", "8",      "356", "645", "710", "837", "516", "183", "779", "549", "988",      "662"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999817933494317,      0.760692490869308, 0.732750278175931, 0.669711208724747,      0.526898356345231, 0.498663086187387, 0.473457721310329,      0.467390165867406, 0.398172843041356, 0.279074725040821,      0.260094866122728, 0.221981547356467, 0.179211077472763,      0.150244178497956, 0.109908473599331, 0.0447188849088775,      0.0379546322499677, 0.00296238226662834, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1327940418 
R squared (OOB):                  0.5246719 

$Forests[[761]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 378000, 378000,      375000, 394000, 324000, 4e+05, 345000, 320000, 380000, 368888,      330000, 395000, 333000, 295000, 345000, 315000, 330000, 320000,      336000), floor_area_sqm = c(91, 92, 92, 92, 92, 90, 92, 102,      100, 92, 92, 102, 92, 100, 101, 102, 103, 103, 101, 102),          storey_order = c(4L, 2L, 3L, 2L, 5L, 4L, 4L, 2L, 4L,          4L, 4L, 1L, 3L, 4L, 1L, 4L, 2L, 1L, 1L, 3L), remaining_lease_mths = c(927,          1136, 1133, 1135, 1142, 929, 1145, 927, 930, 1135, 1143,          911, 1132, 928, 917, 926, 926, 928, 924, 916), PROX_CBD = c(18.6571260927441,          18.6831604018118, 18.5541585191533, 18.5586196198757,          18.5586196198757, 18.3448727328387, 18.4659506582063,          18.2868848905217, 18.242108360018, 18.528449956106, 18.528449956106,          18.2320763538069, 18.4477570786683, 18.2095446148373,          18.4986491838169, 18.236688278315, 18.5458637520931,          18.5768909080638, 18.0902268845521, 18.5506225538857),          PROX_ELDERLYCARE = c(1.27166470727688, 1.47678345842271,          1.3934670212363, 1.41981179339616, 1.41981179339616,          1.12000720290482, 1.40960952841152, 0.896456720381782,          1.08331104464233, 1.49671415705568, 1.49671415705568,          0.927534095024191, 1.45029388933935, 1.17430183890643,          0.86418951980865, 0.732088251039709, 0.890661700747245,          0.912532633143698, 0.706169610995159, 0.859723249528503         ), PROX_HAWKER = c(0.924657565926692, 1.01746494726896,          0.899006211509986, 0.915906485722884, 0.915906485722884,          0.636376603494217, 0.861254406292383, 0.547085889030319,          0.548257960059823, 0.947708217710491, 0.947708217710491,          0.493410913505403, 0.879695992543251, 0.579651089601917,          0.838043969781633, 0.537987121264097, 0.898999046399804,          0.935860141611343, 0.370412154176866, 0.958117298193611         ), PROX_MRT = c(0.861078471223358, 0.943619619760125,          0.823747240068891, 0.839968978875504, 0.839968978875504,          0.565211037998289, 0.783375472664302, 0.495991449430539,          0.47401652613315, 0.869531291623609, 0.869531291623609,          0.433316978327494, 0.801027338961469, 0.501132314022455,          0.812751343363136, 0.511061821383635, 0.87509641959225,          0.912233851204259, 0.341202563029131, 0.942174684471822         ), PROX_PARK = c(1.95136051888807, 2.2148581526701, 2.22642888666982,          2.25577949184332, 2.25577949184332, 2.08056453235766,          2.321508063195, 1.86697967968657, 2.12857307310705, 2.37596217173297,          2.37596217173297, 1.96114614265628, 2.38376543636855,          2.25371860749481, 1.49181484955502, 1.7164330470264,          1.4387346144793, 1.41172869826724, 1.8531048262974, 1.32670572464855         ), PROX_GOOD_PRISCH = c(9.13456945987866, 9.12987022396436,          9.00155567304774, 9.00274768401056, 9.00274768401056,          8.81498363377987, 8.90481615501782, 8.78822500750919,          8.71021480286832, 8.9605147002348, 8.9605147002348, 8.72297519828522,          8.8804818877731, 8.6635222339794, 9.04519470993137, 8.76378557853615,          9.09837600782165, 9.13217936844248, 8.60631027953587,          9.12094588228633), PROX_MALL = c(0.300602441432182, 0.525391611000181,          0.475387173022169, 0.5054917244252, 0.5054917244252,          0.284195187673565, 0.542775018358786, 0.1450338527091,          0.347669457974494, 0.613385110580272, 0.613385110580272,          0.22704735136933, 0.601716003339109, 0.468966497593582,          0.305101649121832, 0.240339889961931, 0.359721010486642,          0.390092702495136, 0.342860958869265, 0.46921205797367         ), PROX_CHAS = c(0.214120710257936, 0.090990597005735,          0.0809306171135589, 0.101888085354885, 0.101888085354885,          0.24769320941352, 0.20305264112251, 0.0217240252323136,          0.274735402884708, 0.220932244035638, 0.220932244035638,          0.11607611654581, 0.260006933015678, 0.3998394205418,          0.305101651313883, 0.184864523484869, 0.359721009550721,          0.390092699752756, 0.209799590563819, 0.469212052170377         ), PROX_SUPERMARKET = c(0.214121714630789, 0.0909910491430168,          0.080929224247632, 0.101886801165025, 0.101886801165025,          0.284194910851331, 0.203051245143547, 0.145032957963293,          0.347668959247477, 0.220931072377982, 0.220931072377982,          0.227046556279957, 0.260005577706646, 0.402574253870019,          0.305101855713295, 0.240339157209448, 0.359721304530864,          0.390093045846372, 0.342860053820009, 0.469212308573368         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 1L,          0L, 2L, 1L, 0L, 0L, 2L, 0L, 1L, 1L, 2L, 1L, 1L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 5L,          3L, 7L, 3L, 3L, 3L, 5L, 3L, 2L, 6L, 6L, 5L, 5L, 6L, 6L         ), WITHIN_350M_BUS = c(8L, 5L, 8L, 5L, 5L, 8L, 6L, 9L,          7L, 6L, 6L, 10L, 8L, 8L, 9L, 7L, 9L, 9L, 7L, 8L), WITHIN_1KM_PRISCH = c(3L,          3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 4L, 3L, 4L, 4L,          6L, 4L, 4L, 5L, 5L), DNeighbour = c(0, 261.105319848718,          288.795814757622, 308.264682768757, 310.276328103623,          324.389591237604, 398.082889778478, 410.259707836603,          425.588277158438, 433.051270726918, 434.691155518326,          437.111022078165, 456.851440583191, 502.506982338651,          523.925257498184, 541.38953127151, 546.559580684213,          566.306480123217, 618.963531464251, 659.381576154193)), row.names = c("761",      "664", "563", "35", "581", "512", "777", "787", "608", "102",      "875", "443", "504", "243", "684", "227", "576", "828", "74",      "291"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.710979076126239,      0.653144712558117, 0.61064592200527, 0.60618139925108, 0.57452612132677,      0.403885986527309, 0.37562352556637, 0.340370746781753, 0.323390818464472,      0.319679118641183, 0.314215814774538, 0.270359604264454,      0.175746605543751, 0.135908321496787, 0.106188792264433,      0.0979247687605291, 0.0688461503534174, 0.0141221101186836,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       279091056 
R squared (OOB):                  0.728514 

$Forests[[762]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 368888, 368000,      385000, 390000, 375000, 340000, 4e+05, 370000, 395000, 380000,      350000, 350000, 412000, 390000, 350000, 377000, 390000, 420000,      380000), floor_area_sqm = c(92, 92, 92, 92, 93, 92, 92, 96,      92, 93, 93, 92, 93, 92, 92, 104, 92, 92, 92, 92), storey_order = c(1L,      2L, 2L, 3L, 3L, 1L, 2L, 2L, 1L, 4L, 3L, 1L, 1L, 3L, 4L, 3L,      2L, 2L, 4L, 2L), remaining_lease_mths = c(1111, 1102, 1100,      1132, 1113, 1139, 1133, 1098, 1090, 1108, 1110, 1131, 1111,      1128, 1142, 812, 1135, 1128, 1133, 1142), PROX_CBD = c(14.8482953663728,      14.8482953663728, 14.9752079088984, 14.9536689261967, 14.6879879340018,      14.8395197777251, 14.8395197777251, 15.0414874321427, 15.0414874321427,      14.6649260398624, 14.607628567626, 14.6346875310408, 14.6221320584002,      14.5596883563906, 14.5596883563906, 14.8739209120931, 14.5662038835035,      14.5136499050456, 14.7615340778399, 14.4940333615496), PROX_ELDERLYCARE = c(0.157028625587627,      0.157028625587627, 0.199763345782594, 1.13414610370389e-06,      0.267910637295867, 0.143171284390361, 0.143171284390361,      0.180026828914976, 0.180026828914976, 0.374463671675583,      0.363539264939185, 0.318998242024868, 0.410896008057539,      0.399519357429504, 0.399519357429504, 0.224374856243457,      0.396119369193007, 0.440212280139716, 0.301679225956583,      0.500918112427577), PROX_HAWKER = c(0.332945546865787, 0.332945546865787,      0.202333554334061, 0.283688306330561, 0.507741768149319,      0.426817039061835, 0.426817039061835, 0.135868389364205,      0.135868389364205, 0.515424723672587, 0.571839614015762,      0.567748890704442, 0.55845452984231, 0.625641729464286, 0.625641729464286,      0.490895901627697, 0.661743266121302, 0.681591249319273,      0.582527401679673, 0.682637638745144), PROX_MRT = c(1.41585626072206,      1.41585626072206, 1.27457972333389, 1.45204946878565, 1.51619569366002,      1.58589972239689, 1.58589972239689, 1.27219969611937, 1.27219969611937,      1.31347134818138, 1.42703012637354, 1.53691575721219, 1.30119397664661,      1.46473462254762, 1.46473462254762, 1.67344316225132, 1.61118001364451,      1.51230084146916, 1.75082728996661, 1.32800225952209), PROX_PARK = c(0.40224168015695,      0.40224168015695, 0.259935562114549, 0.447466290733612, 0.573128508978659,      0.573834160005083, 0.573834160005083, 0.270313948020077,      0.270313948020077, 0.48594234877488, 0.592644125813336, 0.633519966923,      0.524601749565547, 0.656743209310805, 0.656743209310805,      0.671840643384197, 0.741043428920938, 0.723946747094916,      0.739209778966795, 0.65941869562705), PROX_GOOD_PRISCH = c(5.51627049340211,      5.51627049340211, 5.6171537261999, 5.64958645026222, 5.38500296681299,      5.56483468018996, 5.56483468018996, 5.69200203864946, 5.69200203864946,      5.30673314037113, 5.28617698570013, 5.34297669438126, 5.26427170666348,      5.25302892838613, 5.25302892838613, 5.63420261242257, 5.30307595814772,      5.22451833965112, 5.53447364393692, 5.15263130971644), PROX_MALL = c(0.649229394533883,      0.649229394533883, 0.689421511186311, 0.806257336881612,      0.626246838364162, 0.805396060532061, 0.805396060532061,      0.767711199656331, 0.767711199656331, 0.439421746266814,      0.523782484457491, 0.633302242537752, 0.412850725186958,      0.550646738699849, 0.550646738699849, 0.927972955155417,      0.69438942428714, 0.591658790399046, 0.897398400321744, 0.407798057490129     ), PROX_CHAS = c(0.274130336331615, 0.274130336331615, 0.230775629929228,      0.14456617920399, 0.160113448728027, 0.204546662914522, 0.204546662914522,      0.163757574589084, 0.163757574589084, 0.0969357032130768,      0.198893245072118, 0.120955806912261, 0.0938393111767789,      0.19650938121062, 0.19650938121062, 0.25243947150411, 0.0799578054615725,      0.179710137259641, 0.166975848000366, 0.0559452214520875),          PROX_SUPERMARKET = c(0.296829834724774, 0.296829834724774,          0.264202614673064, 0.16127040484797, 0.300165340388346,          0.280088374069707, 0.280088374069707, 0.197268674737732,          0.197268674737732, 0.0969351949685631, 0.223766299699327,          0.327836032489634, 0.0938384818523742, 0.27843134046436,          0.27843134046436, 0.298947211163532, 0.41943325951703,          0.343491998264143, 0.408349928269047, 0.202112654374605         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 4L, 7L, 6L, 5L,          5L, 4L, 4L, 6L, 4L, 6L, 6L, 3L, 3L, 3L, 3L, 4L, 3L, 4L         ), WITHIN_350M_BUS = c(9L, 9L, 9L, 6L, 7L, 5L, 5L, 9L,          9L, 8L, 7L, 8L, 9L, 7L, 7L, 6L, 6L, 6L, 4L, 9L), WITHIN_1KM_PRISCH = c(4L,          4L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,          3L, 3L, 4L, 3L, 3L), DNeighbour = c(0, 3.35418398609177,          157.83999796903, 162.260814840525, 176.261886214313,          200.663249713951, 201.314409712094, 204.153848557285,          205.754535372507, 219.938691248358, 236.296588494446,          241.559322797643, 255.413320933705, 291.762502714062,          292.268691427341, 324.665298281892, 341.317514624468,          347.599411730117, 355.56392637052, 356.798716169481)), row.names = c("762",      "195", "558", "139", "469", "152", "543", "632", "793", "17",      "452", "583", "324", "961", "163", "602", "368", "706", "620",      "702"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999823258717856,      0.646900851886395, 0.629143422692292, 0.571467667845932,      0.467455723871222, 0.464648417647215, 0.452401000808198,      0.445494290580569, 0.384429174486239, 0.315170289073144,      0.293380372145369, 0.237717630962027, 0.109779011496405,      0.108245570819951, 0.029587383876939, 0.00720728453045768,      0.00259091542770293, 4.77414061516415e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       570672673 
R squared (OOB):                  -0.204651 

$Forests[[763]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(685000, 520000, 710000,      740000, 518000, 790000, 390000, 380000, 580000, 705000, 708000,      430000, 416000, 545000, 575000, 550000, 680000, 715000, 662000,      675000), floor_area_sqm = c(102, 101, 101, 95, 93, 95, 84,      89, 90, 90, 90, 92, 91, 101, 101, 102, 95, 95, 95, 95), storey_order = c(4L,      1L, 2L, 4L, 4L, 6L, 1L, 5L, 5L, 7L, 5L, 2L, 4L, 1L, 6L, 3L,      4L, 6L, 3L, 2L), remaining_lease_mths = c(929, 929, 933,      954, 736, 946, 783, 653, 1035, 1041, 1031, 687, 713, 938,      932, 761, 1084, 1099, 1093, 1093), PROX_CBD = c(4.15915934561343,      4.23995407977096, 4.27954241101507, 4.09909964212454, 4.29040868967057,      4.0690703028165, 4.91139217141794, 4.19301197437796, 3.73787601157873,      3.66612298934168, 3.56091441303422, 5.17330173892321, 5.10609859014938,      3.59494173601466, 5.56255806753875, 6.04257091454572, 6.04001281876484,      6.06656257116635, 6.11286474740545, 6.15852201326599), PROX_ELDERLYCARE = c(1.31127122179184,      1.29004325258708, 1.2084977158608, 1.44919747885979, 1.28169673214061,      1.5676876481467, 0.53976690699019, 1.05465194719342, 0.836612932336762,      0.851600940224316, 0.885388735780595, 0.151830290872251,      0.320090253923576, 0.692364880740494, 0.0599829320550621,      0.548656319889636, 0.545921172841312, 0.516985202466339,      0.471592353212743, 0.428116600598184), PROX_HAWKER = c(0.296724849746491,      0.242979724501726, 0.32780610994166, 0.17841116959893, 0.224814451985556,      0.124697776657811, 0.526793317066312, 0.297392426102438,      0.15676751515481, 0.157376553669701, 0.210501859943959, 0.261285820740611,      0.333568708255903, 0.142789347249218, 0.248163252655802,      0.19523132016882, 0.0606577495598573, 0.0900485470251793,      0.0855319563513606, 0.104458461300263), PROX_MRT = c(0.361454140857751,      0.369514902074349, 0.45128979061194, 0.212082976996148, 0.386818680985449,      0.103251860461982, 0.348715950460643, 0.670866804568908,      0.349678715281184, 0.281331556481731, 0.1853881461208, 0.568944969773001,      0.549226257235714, 0.346622733589529, 0.389634730949481,      0.448203274012385, 0.53617676606472, 0.530436532640755, 0.576684647572531,      0.567634817298681), PROX_PARK = c(0.424082148410156, 0.410157320226128,      0.496161896442625, 0.271559050503854, 0.41256712340984, 0.13380185088312,      0.454973393404149, 1.34668044149268, 1.14436990313984, 1.07330463343821,      0.969171323132551, 0.375618223612072, 0.534309547143458,      1.03638785093261, 0.136342453682232, 0.651264615899835, 0.524571131123829,      0.548254609843109, 0.517760851715104, 0.487498062645995),          PROX_GOOD_PRISCH = c(3.27316539077024, 3.17375518133788,          3.1984009939005, 3.22696055518642, 3.11124078456354,          3.17062142916436, 3.07957394860643, 4.04417128338034,          4.42346384619917, 4.46068770698473, 4.51522724145722,          3.5160560831601, 3.68539306501406, 4.68517728936996,          3.30515733544794, 2.14268529299874, 2.00925132829891,          2.03651743937875, 2.00772186702724, 1.97696478280336),          PROX_MALL = c(1.03381347643634, 1.09860538958518, 1.15459749844864,          0.944512912155433, 1.14104925826379, 0.898524741072254,          0.779372162435287, 1.51326780463499, 1.03774509228272,          0.971442928620489, 0.87678025015548, 0.96360119165526,          1.13513631747826, 0.814872047472938, 0.719385659919303,          0.264532440460292, 0.387042201482337, 0.365617038961166,          0.403935094648282, 0.446404896609829), PROX_CHAS = c(0.22718451096924,          0.128246501394164, 0.151798893835737, 0.199996678091121,          0.0683025043642396, 0.162166521351491, 0.297280152993809,          0.212246176955017, 0.0809467071188201, 0.108213750221125,          0.0998361253719761, 0.213267381067323, 0.37199840586913,          0.0573592222158038, 0.174009235365936, 0.12619956254809,          0.134421273847083, 0.0929349198733403, 0.0679258481743644,          0.0766942583569258), PROX_SUPERMARKET = c(0.31622643534726,          0.23908756643158, 0.314587216673928, 0.232527384837024,          0.200251285306447, 0.209119590970966, 0.212061147632098,          0.306178228663922, 0.184584314799668, 0.131005301990959,          0.103744685928207, 0.266791583668656, 0.424647979009491,          0.0573596645426592, 0.173881454941229, 0.178930757423705,          0.0393286469640316, 0.0785030623714358, 0.0895469396191502,          0.11965836137487), WITHIN_350M_KINDERGARTEN = c(4L, 4L,          3L, 5L, 3L, 4L, 1L, 0L, 1L, 1L, 1L, 2L, 0L, 1L, 1L, 0L,          1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(10L, 4L, 2L,          9L, 2L, 8L, 2L, 1L, 3L, 3L, 3L, 4L, 4L, 3L, 4L, 4L, 4L,          3L, 3L, 3L), WITHIN_350M_BUS = c(4L, 4L, 2L, 8L, 4L,          5L, 7L, 5L, 7L, 7L, 9L, 4L, 4L, 4L, 2L, 7L, 8L, 8L, 6L,          6L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L, 2L, 1L, 2L,          1L, 0L, 0L, 0L, 3L, 3L, 0L, 3L, 1L, 1L, 1L, 1L, 2L),          DNeighbour = c(0, 92.6710398601193, 124.674347476293,          146.916143372115, 163.863533179857, 288.221183241641,          829.107184878689, 977.202106779754, 1201.08591570607,          1220.33753356677, 1260.4366964716, 1333.662372705, 1380.84031531907,          1442.95918702477, 1608.00402727419, 1890.15226993781,          1891.90192499852, 1921.45161433132, 1958.75519458425,          2013.20754598914)), row.names = c("763", "145", "767",      "784", "286", "575", "251", "993", "823", "903", "881", "270",      "853", "997", "596", "453", "930", "297", "536", "23"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.995766684747762, 0.992344500673488, 0.989377323125501,      0.986793840685573, 0.959427569940802, 0.689552219385343,      0.584293755071398, 0.41481935035985, 0.40013600013368, 0.369687146187244,      0.31489091596525, 0.280427396209005, 0.236463036000497, 0.131069009423126,      0.0140450552990724, 0.0136607353647615, 0.00793466024505165,      0.00284766836471896, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       13434877443 
R squared (OOB):                  0.1539307 

$Forests[[764]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(455000, 468000, 420000,      460000, 458888, 450000, 422000, 460000, 510000, 485000, 440000,      452000, 425000, 430000, 475000, 390000, 426888, 382000, 323000,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 95, 92, 92, 92, 92, 92, 90, 92, 86, 90, 90), storey_order = c(4L,      4L, 2L, 3L, 4L, 3L, 2L, 5L, 5L, 5L, 2L, 2L, 4L, 1L, 2L, 5L,      1L, 2L, 1L, 4L), remaining_lease_mths = c(1136, 1124, 1139,      1137, 1130, 1136, 1132, 1136, 1133, 1141, 1136, 1133, 988,      1134, 1126, 978, 1141, 989, 983, 973), PROX_CBD = c(12.5530445309639,      12.5372560863306, 12.4951121122816, 12.6444338023734, 12.6444338023734,      12.6444338023734, 12.6523002899419, 12.5778468618744, 12.8180148044036,      12.8190940082697, 12.6445046545469, 12.8941535537835, 12.1902934701837,      12.5852639843962, 12.6532888174316, 12.4059518996545, 12.5841594105866,      12.3082954752684, 12.0200214112876, 11.9491294576901), PROX_ELDERLYCARE = c(4.52036057904239e-07,      0.066903342124331, 0.0780281999502717, 0.0933099122535032,      0.0933099122535032, 0.0933099122535032, 0.17445131765005,      0.25879478544564, 0.265081039187363, 0.268492105828742, 0.316798451576888,      0.346816364720296, 0.362754738306624, 0.3637938018331, 0.373604611296459,      0.404564014080405, 0.419823195233641, 0.583230122785789,      0.618171206910468, 0.351349913726565), PROX_HAWKER = c(0.183834631869038,      0.184899994018696, 0.227760265989261, 0.0943584031018698,      0.0943584031018698, 0.0943584031018698, 0.228019105088385,      0.361759384229333, 0.116173376637396, 0.146347761938812,      0.385855619963418, 0.172433027954251, 0.536726116414185,      0.45815519033126, 0.440383933038266, 0.551023632791116, 0.512822421809829,      0.732610931237137, 0.743318510800665, 0.693645859237657),          PROX_MRT = c(0.225183269009929, 0.250680884626282, 0.288636635543175,          0.135663244459145, 0.135663244459145, 0.135663244459145,          0.189124878414716, 0.325317058740364, 0.0414043955932523,          0.0524349257152741, 0.290856617513635, 0.133852264483784,          0.364194860258715, 0.305105021876954, 0.24828698655044,          0.467412150427879, 0.285300897266269, 0.348338435446781,          0.291532437270123, 0.207404211118571), PROX_PARK = c(0.665189387379371,          0.614568616662392, 0.64692671777276, 0.61385987529272,          0.61385987529272, 0.61385987529272, 0.76865606278053,          0.898636927133822, 0.594833919624026, 0.639036828502152,          0.927332929158558, 0.541994755536806, 0.883674706708426,          0.998305920751222, 0.981635622560504, 1.06942514246801,          1.05356492524152, 1.248380402738, 0.871053837980522,          1.42337349535551), PROX_GOOD_PRISCH = c(2.90013878468328,          2.87119716545371, 2.83249303987555, 2.98554640042679,          2.98554640042679, 2.98554640042679, 3.02962689364369,          2.98751376551561, 3.15789060893291, 3.16783392704602,          3.06407026512831, 3.22227453062783, 2.54749739008747,          3.02473222579279, 3.08870420529617, 2.85954585658161,          3.04090040576321, 2.82059786507503, 2.31713852475231,          2.48771655129493), PROX_MALL = c(0.801147315442336, 0.863947607104433,          0.848059510883206, 0.835997866672575, 0.835997866672575,          0.835997866672575, 0.680457081346124, 0.550769417999913,          0.881741038155881, 0.842111664425906, 0.525247230278188,          0.965068597681967, 0.835543217968543, 0.450387082903272,          0.475487624694748, 0.423524868376446, 0.39575302739997,          0.312386349772529, 0.859289251142989, 0.591401580344059         ), PROX_CHAS = c(0.0780281620295796, 0.0439945201117045,          3.19858778746232e-08, 0.102096070463208, 0.102096070463208,          0.102096070463208, 0.162820120107843, 0.236995708134403,          0.0772642002388838, 0.0812086980787344, 0.312339613016365,          0.115846127710365, 0.167384851183216, 0.324614821605945,          0.362882313204726, 0.187639553192951, 0.369996201265779,          0.200650927390068, 0.310908028614088, 0.136369833447508         ), PROX_SUPERMARKET = c(0.189775839444753, 0.218453608018692,          0.255060837787685, 0.102095775430648, 0.102095775430648,          0.102095775430648, 0.162819600148508, 0.299832635957983,          0.0772646744727167, 0.0812089624400091, 0.312339147167174,          0.115845823699909, 0.552359009160243, 0.389269910824952,          0.36465940083402, 0.375814638453933, 0.385003628727568,          0.200651971059786, 0.507879796624066, 0.234851160706955         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 3L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 0L, 0L, 0L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 6L, 5L, 7L, 7L, 7L,          6L, 5L, 6L, 7L, 5L, 5L, 3L, 4L, 5L, 4L, 4L, 4L, 1L, 6L         ), WITHIN_350M_BUS = c(11L, 10L, 10L, 10L, 10L, 10L,          11L, 8L, 9L, 9L, 11L, 6L, 12L, 11L, 11L, 10L, 10L, 8L,          6L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 3L, 4L, 4L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 4L, 7L         ), DNeighbour = c(0, 66.0062060548789, 72.5762589880014,          95.4288692627388, 95.8511056156397, 99.1636301127599,          174.715901655342, 255.160228981081, 268.222785808597,          275.33329986609, 314.19904744107, 347.782589317121, 355.345577947258,          360.976952566774, 374.975033977498, 400.012164165761,          415.204619446147, 575.612813387278, 614.40445124245,          792.471422618513)), row.names = c("764", "672", "791",      "92", "807", "166", "311", "355", "115", "44", "144", "371",      "783", "180", "759", "138", "868", "231", "909", "175"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.986173150307894, 0.983295756021777, 0.971208648648866,      0.970955184910635, 0.968929078941213, 0.905148889597127,      0.803405052050997, 0.784008145102616, 0.773147477854428,      0.710317961796177, 0.651900367048421, 0.638298515887254,      0.628076221356804, 0.602344499608351, 0.555340744320854,      0.526336690685379, 0.22317450163213, 0.159126997488737, 0     ), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1023250252 
R squared (OOB):                  0.4373398 

$Forests[[765]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(590000, 408000, 660000,      620000, 580000, 552000, 745000, 750000, 755000, 810000, 685000,      795888, 530000, 472000, 840000, 825000, 820000, 4e+05, 688000,      7e+05), floor_area_sqm = c(107, 84, 90, 102, 100, 100, 90,      90, 90, 90, 85, 95, 111, 84, 87, 87, 87, 92, 85, 95), storey_order = c(1L,      6L, 10L, 3L, 4L, 1L, 7L, 11L, 5L, 10L, 4L, 7L, 1L, 2L, 14L,      5L, 9L, 1L, 4L, 3L), remaining_lease_mths = c(742, 647, 993,      908, 1013, 910, 1057, 1035, 1038, 1045, 1038, 1140, 767,      799, 1141, 1136, 1136, 555, 964, 1100), PROX_CBD = c(6.87314974277175,      5.38657645344473, 5.00856672458725, 4.95292174150019, 4.79843685927635,      4.64904487497998, 6.0390103189171, 4.88070069409732, 4.88070069409732,      5.99670752478149, 4.89531124268982, 6.26284978479934, 4.3501519248406,      4.27761841825855, 4.70219035054856, 4.59114385332588, 4.59114385332588,      5.99479776583207, 3.98134497452694, 7.97001655790022), PROX_ELDERLYCARE = c(1.97763637144091,      0.465891927060243, 0.403456137693205, 0.0718437191527097,      0.72206466606869, 0.374326446996408, 0.798119493593788, 0.312658206579851,      0.312658206579851, 0.788986586736525, 0.307888742732217,      0.69800247969724, 0.203630745919553, 0.0937624362906392,      0.200702517977741, 0.125633226962327, 0.125633226962327,      0.420516157550055, 0.168717999980802, 0.682273370470252),          PROX_HAWKER = c(0.529030079246562, 0.351855498276287,          0.327438715714418, 0.126776661941161, 0.669525197575465,          0.28049665267082, 0.151348144296069, 0.595417483526792,          0.595417483526792, 0.199496524550099, 0.546104933523636,          0.130331819855385, 0.509657348502929, 0.566432501893156,          0.646528219825606, 0.762382071136897, 0.762382071136897,          0.295460487376037, 0.262344394473714, 0.840126401207934         ), PROX_MRT = c(0.494712046441376, 0.675587286197546,          0.699181106494864, 0.804865461788644, 1.13446368103879,          0.763812758173444, 0.225262429159589, 0.314337158810329,          0.314337158810329, 0.226103982865864, 0.275254866694397,          0.132116935816272, 0.533693046359433, 0.40356540460373,          0.491479629856663, 0.586728793826683, 0.586728793826683,          0.305306521480229, 0.310254962870727, 0.726942522279936         ), PROX_PARK = c(0.176375266825028, 1.05249384295472,          0.344858191728297, 0.908868407872405, 0.279857584881724,          1.08394438059851, 0.921128796109604, 1.53366372097489,          1.53366372097489, 0.97332058707081, 1.60860995669454,          0.742212481577902, 0.941534540217125, 1.11098670131371,          1.77379186206272, 1.65596921250538, 1.65596921250538,          0.990750186553446, 0.894232249415992, 0.618444971248099         ), PROX_GOOD_PRISCH = c(4.84886314545753, 3.52335384407219,          4.86324650242379, 3.66355651606602, 4.40925832010736,          3.57098970158234, 2.45094763896652, 3.0451226436528,          3.0451226436528, 2.41026804261554, 2.96671225712824,          2.39901634170637, 3.77462248476967, 3.63213704613537,          2.79995758206102, 2.86977258716747, 2.86977258716747,          2.01228232098645, 3.868083844602, 2.78644315018514),          PROX_MALL = c(1.63517626604001, 0.184401966361696, 1.20968740927381,          0.209686974260184, 0.830412122132217, 0.528365937160055,          1.15586968043917, 0.63262312230698, 0.63262312230698,          1.14826594162738, 0.696065710972082, 0.965908348364742,          0.812522711759855, 0.890632544268956, 0.970860317849455,          0.992224857230604, 0.992224857230604, 0.848644658978131,          1.18273225000282, 0.66906173274608), PROX_CHAS = c(0.513974468339749,          0.131272369045618, 0.358299181925541, 0.176171654931402,          0.120011087306801, 0.251376462502101, 0.103484302768675,          0.278004299073392, 0.278004299073392, 0.157172829578474,          0.22404402777184, 0.0879111496245458, 0.237239443458304,          0.116543108560641, 0.0639130956899198, 0.156405874770629,          0.156405874770629, 0.262677718190406, 0.145112311632742,          0.195243012850588), PROX_SUPERMARKET = c(0.902139539206624,          0.182486832055582, 0.395196557309087, 0.176171398022836,          0.0907294343182455, 0.311533400888457, 0.198926203527595,          0.278004958714438, 0.278004958714438, 0.212384620357781,          0.224044642536509, 0.0879117778441782, 0.125937465506006,          0.205058734443685, 0.0639125072278545, 0.156405662038775,          0.156405662038775, 0.3581952061826, 0.252387257990654,          0.169510705521186), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 2L, 0L, 0L, 3L, 5L, 5L, 3L, 5L, 2L, 0L, 0L, 2L,          0L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 1L, 2L, 2L, 3L, 5L, 5L, 3L, 4L, 3L, 5L, 5L, 4L, 3L,          3L, 1L, 3L, 0L), WITHIN_350M_BUS = c(0L, 8L, 7L, 7L,          6L, 12L, 9L, 8L, 8L, 10L, 9L, 5L, 13L, 14L, 7L, 7L, 7L,          8L, 12L, 7L), WITHIN_1KM_PRISCH = c(0L, 1L, 1L, 2L, 2L,          2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          1L), DNeighbour = c(0, 1734.80885767976, 2014.4569513806,          2028.03572405543, 2097.60990485892, 2357.7213532388,          2399.97157548762, 2432.53750121219, 2433.45968151128,          2441.21525451733, 2471.44780331726, 2472.12595401402,          2582.65338944893, 2695.93797181475, 2759.97089778939,          2810.19026110478, 2812.86718808968, 2834.93629630099,          2930.43065165444, 2956.50304655187)), row.names = c("765",      "130", "515", "216", "610", "140", "832", "39", "982", "379",      "916", "562", "348", "709", "854", "333", "768", "413", "375",      "904"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.429932532752855,      0.28701957741432, 0.280330195509863, 0.246635071504831, 0.132526730223178,      0.116311923009788, 0.104355426833417, 0.104024010946688,      0.10125274706022, 0.0907279078771164, 0.0904970022987501,      0.0561264935666644, 0.0283916846754934, 0.0165200112291286,      0.00931761888626829, 0.00898812791527258, 0.00648767842623362,      0.000308337833502296, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       13155701747 
R squared (OOB):                  0.3084147 

$Forests[[766]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 345000, 370000,      343000, 380000, 420000, 420000, 340000, 310000, 325000, 370000,      350000, 345000, 295000, 335000, 390000, 336000, 345000, 320000,      323000), floor_area_sqm = c(93, 103, 93, 102, 93, 93, 92,      101, 104, 104, 103, 104, 102, 105, 101, 126, 104, 104, 106,      104), storey_order = c(1L, 5L, 1L, 5L, 1L, 3L, 6L, 5L, 1L,      1L, 4L, 2L, 2L, 1L, 2L, 2L, 4L, 4L, 1L, 3L), remaining_lease_mths = c(1142,      944, 1139, 935, 1138, 1139, 1104, 943, 879, 872, 881, 863,      935, 870, 933, 879, 958, 862, 851, 956), PROX_CBD = c(15.6174435761395,      15.6615925135045, 15.8422849591204, 15.6558233565228, 15.9652529785268,      15.9652529785268, 16.0058570800758, 15.9284058495794, 15.9652370890998,      15.9652370890998, 15.9139497277605, 15.9139497277605, 16.0814208174046,      16.027241877126, 16.135389698045, 16.1769042321823, 16.2237683329895,      16.2035530975804, 15.9983120826665, 16.3822081442679), PROX_ELDERLYCARE = c(0.457575537702088,      0.372854461013726, 0.241353796602158, 0.268146833149962,      0.120425003900544, 0.120425003900544, 0.0922651494707867,      0.260351961534281, 0.372962984236141, 0.372962984236141,      0.471057675436291, 0.471057675436291, 0.129424766752979,      0.401697186037664, 0.214357316635524, 0.382017171357745,      0.233700982090528, 0.462412199513001, 0.541237256511776,      0.317064501792404), PROX_HAWKER = c(2.21004723991438, 2.39243139523594,      2.37354129025836, 2.27183532495414, 2.36922200206298, 2.36922200206298,      2.393526972262, 2.2342618496891, 2.45115541279444, 2.45115541279444,      2.34701070601947, 2.34701070601947, 2.40830007300065, 2.44772974464855,      2.40272097648418, 2.55739022352562, 2.48966457045008, 2.51024920878341,      2.1818192257633, 2.76474077583521), PROX_MRT = c(0.70935210619912,      0.499275570100955, 0.721786411333246, 0.370313443989706,      0.886101680623091, 0.886101680623091, 0.910164710677637,      1.02417718077332, 0.52727924180445, 0.52727924180445, 0.424613907535265,      0.424613907535265, 1.00126993569874, 0.538616250543522, 1.09323648573999,      0.674610535324426, 1.11461848888664, 0.65447898159524, 0.364450998520493,      1.02897813643603), PROX_PARK = c(1.21748666352844, 1.19384102986047,      1.42084473696832, 1.16446299803307, 1.58077599563476, 1.58077599563476,      1.6216647961598, 1.61207436869795, 1.39203600576681, 1.39203600576681,      1.30337713627377, 1.30337713627377, 1.7154732425778, 1.35146177086674,      1.7942088991982, 1.39748820590438, 1.86547668850022, 1.32632916723033,      1.05372411430502, 1.73717122008599), PROX_GOOD_PRISCH = c(5.63578467655705,      5.71328270316738, 5.8611108446886, 5.73062396037349, 5.96493131981452,      5.96493131981452, 6.00411547246196, 5.90870946924896, 6.02718330754398,      6.02718330754398, 5.99275530970335, 5.99275530970335, 6.0710937852797,      6.09534233388474, 6.11593822040069, 6.23706483495109, 6.20687623278084,      6.27623366830878, 6.12314921566155, 6.39421933734494), PROX_MALL = c(0.401390812484646,      0.238209845871265, 0.177442774283774, 0.155488337640192,      0.18546430077947, 0.18546430077947, 0.187934498474296, 0.350369242497661,      0.238316612740974, 0.238316612740974, 0.338688619983659,      0.338688619983659, 0.261655001598387, 0.275346491924215,      0.350342319635, 0.292722816398213, 0.36788016328609, 0.370949542105629,      0.45623102577182, 0.374078152135628), PROX_CHAS = c(0.187858028295528,      0.238209795937414, 0.177442804982894, 0.155488306171375,      0.185464348558652, 0.185464348558652, 0.187934543511456,      0.35036929019185, 0.238316573509266, 0.238316573509266, 0.338688583692834,      0.338688583692834, 0.26165503944411, 0.275346446899555, 0.350342354631045,      0.292722768811081, 0.367880188789974, 0.370949494121523,      0.290215734280461, 0.374078140160073), PROX_SUPERMARKET = c(0.412009517866082,      0.238833101010687, 0.197153631350279, 0.152010752053411,      0.198556813498254, 0.198556813498254, 0.197516435852273,      0.363015443397577, 0.177610526119132, 0.177610526119132,      0.112474666082431, 0.112474666082431, 0.265481412722203,      0.141316208924405, 0.352223797136593, 0.254565333705719,      0.364697803989784, 0.235998227482853, 0.162067612034701,      0.357574924056941), WITHIN_350M_KINDERGARTEN = c(3L, 3L,      2L, 4L, 1L, 1L, 1L, 0L, 3L, 3L, 3L, 3L, 0L, 3L, 0L, 5L, 0L,      3L, 1L, 2L), WITHIN_350M_CHILDCARE = c(3L, 5L, 7L, 8L, 5L,      5L, 5L, 3L, 6L, 6L, 9L, 9L, 5L, 8L, 2L, 8L, 2L, 5L, 6L, 1L     ), WITHIN_350M_BUS = c(15L, 16L, 15L, 14L, 15L, 15L, 14L,      10L, 14L, 14L, 15L, 15L, 13L, 12L, 9L, 9L, 9L, 7L, 12L, 9L     ), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L,      3L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 2L), DNeighbour = c(0,      218.080551302499, 223.58387519707, 341.615904868311, 359.82197208514,      365.364419522882, 405.726080528433, 406.011931071051, 460.028856320541,      461.892401706758, 488.85131732762, 491.575770299548, 491.918733333196,      530.402935117416, 572.534076848515, 637.02896722591, 644.024137180463,      697.085757117092, 735.725285967123, 764.300492695754)), row.names = c("766",      "572", "585", "450", "913", "137", "154", "705", "490", "566",      "927", "959", "890", "463", "88", "54", "394", "806", "888",      "173"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.843798000493157,      0.836171000809481, 0.640355084087628, 0.605845133025555,      0.595181382760974, 0.515814424558541, 0.515244019657892,      0.406689446499558, 0.402946924455072, 0.34916746214379, 0.343784397535657,      0.343107613434429, 0.268741917200754, 0.192594499487032,      0.09321513767961, 0.0840832541651627, 0.0282749902764256,      0.00538418097564639, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       583673095 
R squared (OOB):                  0.482651 

$Forests[[767]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(710000, 520000, 518000,      685000, 740000, 790000, 390000, 380000, 430000, 580000, 705000,      416000, 708000, 575000, 545000, 550000, 680000, 715000, 662000,      675000), floor_area_sqm = c(101, 101, 93, 102, 95, 95, 84,      89, 92, 90, 90, 91, 90, 101, 101, 102, 95, 95, 95, 95), storey_order = c(2L,      1L, 4L, 4L, 4L, 6L, 1L, 5L, 2L, 5L, 7L, 4L, 5L, 6L, 1L, 3L,      4L, 6L, 3L, 2L), remaining_lease_mths = c(933, 929, 736,      929, 954, 946, 783, 653, 687, 1035, 1041, 713, 1031, 932,      938, 761, 1084, 1099, 1093, 1093), PROX_CBD = c(4.27954241101507,      4.23995407977096, 4.29040868967057, 4.15915934561343, 4.09909964212454,      4.0690703028165, 4.91139217141794, 4.19301197437796, 5.17330173892321,      3.73787601157873, 3.66612298934168, 5.10609859014938, 3.56091441303422,      5.56255806753875, 3.59494173601466, 6.04257091454572, 6.04001281876484,      6.06656257116635, 6.11286474740545, 6.15852201326599), PROX_ELDERLYCARE = c(1.2084977158608,      1.29004325258708, 1.28169673214061, 1.31127122179184, 1.44919747885979,      1.5676876481467, 0.53976690699019, 1.05465194719342, 0.151830290872251,      0.836612932336762, 0.851600940224316, 0.320090253923576,      0.885388735780595, 0.0599829320550621, 0.692364880740494,      0.548656319889636, 0.545921172841312, 0.516985202466339,      0.471592353212743, 0.428116600598184), PROX_HAWKER = c(0.32780610994166,      0.242979724501726, 0.224814451985556, 0.296724849746491,      0.17841116959893, 0.124697776657811, 0.526793317066312, 0.297392426102438,      0.261285820740611, 0.15676751515481, 0.157376553669701, 0.333568708255903,      0.210501859943959, 0.248163252655802, 0.142789347249218,      0.19523132016882, 0.0606577495598573, 0.0900485470251793,      0.0855319563513606, 0.104458461300263), PROX_MRT = c(0.45128979061194,      0.369514902074349, 0.386818680985449, 0.361454140857751,      0.212082976996148, 0.103251860461982, 0.348715950460643,      0.670866804568908, 0.568944969773001, 0.349678715281184,      0.281331556481731, 0.549226257235714, 0.1853881461208, 0.389634730949481,      0.346622733589529, 0.448203274012385, 0.53617676606472, 0.530436532640755,      0.576684647572531, 0.567634817298681), PROX_PARK = c(0.496161896442625,      0.410157320226128, 0.41256712340984, 0.424082148410156, 0.271559050503854,      0.13380185088312, 0.454973393404149, 1.34668044149268, 0.375618223612072,      1.14436990313984, 1.07330463343821, 0.534309547143458, 0.969171323132551,      0.136342453682232, 1.03638785093261, 0.651264615899835, 0.524571131123829,      0.548254609843109, 0.517760851715104, 0.487498062645995),          PROX_GOOD_PRISCH = c(3.1984009939005, 3.17375518133788,          3.11124078456354, 3.27316539077024, 3.22696055518642,          3.17062142916436, 3.07957394860643, 4.04417128338034,          3.5160560831601, 4.42346384619917, 4.46068770698473,          3.68539306501406, 4.51522724145722, 3.30515733544794,          4.68517728936996, 2.14268529299874, 2.00925132829891,          2.03651743937875, 2.00772186702724, 1.97696478280336),          PROX_MALL = c(1.15459749844864, 1.09860538958518, 1.14104925826379,          1.03381347643634, 0.944512912155433, 0.898524741072254,          0.779372162435287, 1.51326780463499, 0.96360119165526,          1.03774509228272, 0.971442928620489, 1.13513631747826,          0.87678025015548, 0.719385659919303, 0.814872047472938,          0.264532440460292, 0.387042201482337, 0.365617038961166,          0.403935094648282, 0.446404896609829), PROX_CHAS = c(0.151798893835737,          0.128246501394164, 0.0683025043642396, 0.22718451096924,          0.199996678091121, 0.162166521351491, 0.297280152993809,          0.212246176955017, 0.213267381067323, 0.0809467071188201,          0.108213750221125, 0.37199840586913, 0.0998361253719761,          0.174009235365936, 0.0573592222158038, 0.12619956254809,          0.134421273847083, 0.0929349198733403, 0.0679258481743644,          0.0766942583569258), PROX_SUPERMARKET = c(0.314587216673928,          0.23908756643158, 0.200251285306447, 0.31622643534726,          0.232527384837024, 0.209119590970966, 0.212061147632098,          0.306178228663922, 0.266791583668656, 0.184584314799668,          0.131005301990959, 0.424647979009491, 0.103744685928207,          0.173881454941229, 0.0573596645426592, 0.178930757423705,          0.0393286469640316, 0.0785030623714358, 0.0895469396191502,          0.11965836137487), WITHIN_350M_KINDERGARTEN = c(3L, 4L,          3L, 4L, 5L, 4L, 1L, 0L, 2L, 1L, 1L, 0L, 1L, 1L, 1L, 0L,          1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 4L, 2L,          10L, 9L, 8L, 2L, 1L, 4L, 3L, 3L, 4L, 3L, 4L, 3L, 4L,          4L, 3L, 3L, 3L), WITHIN_350M_BUS = c(2L, 4L, 4L, 4L,          8L, 5L, 7L, 5L, 4L, 7L, 7L, 4L, 9L, 2L, 4L, 7L, 8L, 8L,          6L, 6L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L, 1L,          2L, 1L, 3L, 0L, 0L, 3L, 0L, 3L, 0L, 1L, 1L, 1L, 1L, 2L         ), DNeighbour = c(0, 88.0325257710648, 114.563953673455,          124.674347476293, 240.926925850905, 367.084154410018,          711.13111295378, 975.066796977616, 1236.18670769811,          1247.72239984549, 1273.0665451694, 1293.75550985781,          1321.73068764689, 1495.8796339677, 1496.49096674971,          1769.26871578749, 1773.62556379055, 1802.52398792465,          1840.05909561286, 1894.73096633672)), row.names = c("767",      "145", "286", "763", "784", "575", "251", "993", "270", "823",      "903", "853", "881", "596", "997", "453", "930", "297", "536",      "23"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.995687270624752,      0.992701455362017, 0.991359320571343, 0.967923992479693,      0.92633891782065, 0.738112304837649, 0.540469146158362, 0.329854960783275,      0.320750640720627, 0.30091001336526, 0.284899979837966, 0.263558004510254,      0.141901737488561, 0.141518093873944, 0.0163963352610319,      0.0153136917152667, 0.00901770799564959, 0.00323496842427671,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11905687444 
R squared (OOB):                  0.2502323 

$Forests[[768]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(820000, 825000, 840000,      685000, 755000, 750000, 805000, 552000, 472000, 530000, 620000,      688000, 408000, 438888, 810000, 745000, 4e+05, 580000, 795888,      530000), floor_area_sqm = c(87, 87, 87, 85, 90, 90, 104,      100, 84, 111, 102, 85, 84, 80, 90, 90, 92, 100, 95, 118),          storey_order = c(9L, 5L, 14L, 4L, 5L, 11L, 3L, 1L, 2L,          1L, 3L, 4L, 6L, 4L, 10L, 7L, 1L, 4L, 7L, 2L), remaining_lease_mths = c(1136,          1136, 1141, 1038, 1038, 1035, 919, 910, 799, 767, 908,          964, 647, 601, 1045, 1057, 555, 1013, 1140, 594), PROX_CBD = c(4.59114385332588,          4.59114385332588, 4.70219035054856, 4.89531124268982,          4.88070069409732, 4.88070069409732, 4.1456930527125,          4.64904487497998, 4.27761841825855, 4.3501519248406,          4.95292174150019, 3.98134497452694, 5.38657645344473,          3.37234644442932, 5.99670752478149, 6.0390103189171,          5.99479776583207, 4.79843685927635, 6.26284978479934,          6.1023364257416), PROX_ELDERLYCARE = c(0.125633226962327,          0.125633226962327, 0.200702517977741, 0.307888742732217,          0.312658206579851, 0.312658206579851, 0.45180890917037,          0.374326446996408, 0.0937624362906392, 0.203630745919553,          0.0718437191527097, 0.168717999980802, 0.465891927060243,          0.401810150563083, 0.788986586736525, 0.798119493593788,          0.420516157550055, 0.72206466606869, 0.69800247969724,          0.14668864145384), PROX_HAWKER = c(0.762382071136897,          0.762382071136897, 0.646528219825606, 0.546104933523636,          0.595417483526792, 0.595417483526792, 0.668394095052703,          0.28049665267082, 0.566432501893156, 0.509657348502929,          0.126776661941161, 0.262344394473714, 0.351855498276287,          0.449139985411189, 0.199496524550099, 0.151348144296069,          0.295460487376037, 0.669525197575465, 0.130331819855385,          0.107292567178633), PROX_MRT = c(0.586728793826683, 0.586728793826683,          0.491479629856663, 0.275254866694397, 0.314337158810329,          0.314337158810329, 0.413017272318271, 0.763812758173444,          0.40356540460373, 0.533693046359433, 0.804865461788644,          0.310254962870727, 0.675587286197546, 0.537190991659238,          0.226103982865864, 0.225262429159589, 0.305306521480229,          1.13446368103879, 0.132116935816272, 0.649340944892975         ), PROX_PARK = c(1.65596921250538, 1.65596921250538,          1.77379186206272, 1.60860995669454, 1.53366372097489,          1.53366372097489, 1.16828897329218, 1.08394438059851,          1.11098670131371, 0.941534540217125, 0.908868407872405,          0.894232249415992, 1.05249384295472, 0.408351250353425,          0.97332058707081, 0.921128796109604, 0.990750186553446,          0.279857584881724, 0.742212481577902, 0.711925115709351         ), PROX_GOOD_PRISCH = c(2.86977258716747, 2.86977258716747,          2.79995758206102, 2.96671225712824, 3.0451226436528,          3.0451226436528, 3.20846684942761, 3.57098970158234,          3.63213704613537, 3.77462248476967, 3.66355651606602,          3.868083844602, 3.52335384407219, 3.70512913004722, 2.41026804261554,          2.45094763896652, 2.01228232098645, 4.40925832010736,          2.39901634170637, 1.64363723354824), PROX_MALL = c(0.992224857230604,          0.992224857230604, 0.970860317849455, 0.696065710972082,          0.63262312230698, 0.63262312230698, 1.18405339004253,          0.528365937160055, 0.890632544268956, 0.812522711759855,          0.209686974260184, 1.18273225000282, 0.184401966361696,          0.743612757274357, 1.14826594162738, 1.15586968043917,          0.848644658978131, 0.830412122132217, 0.965908348364742,          0.58741271025502), PROX_CHAS = c(0.156405874770629, 0.156405874770629,          0.0639130956899198, 0.22404402777184, 0.278004299073392,          0.278004299073392, 0.401816380076581, 0.251376462502101,          0.116543108560641, 0.237239443458304, 0.176171654931402,          0.145112311632742, 0.131272369045618, 0.499618186459994,          0.157172829578474, 0.103484302768675, 0.262677718190406,          0.120011087306801, 0.0879111496245458, 0.142011209366223         ), PROX_SUPERMARKET = c(0.156405662038775, 0.156405662038775,          0.0639125072278545, 0.224044642536509, 0.278004958714438,          0.278004958714438, 0.431453687618191, 0.311533400888457,          0.205058734443685, 0.125937465506006, 0.176171398022836,          0.252387257990654, 0.182486832055582, 0.499617451823641,          0.212384620357781, 0.198926203527595, 0.3581952061826,          0.0907294343182455, 0.0879117778441782, 0.585686837888717         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 2L, 5L, 5L, 5L,          1L, 0L, 0L, 0L, 2L, 1L, 1L, 0L, 3L, 3L, 1L, 0L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 4L, 5L, 5L,          1L, 2L, 5L, 5L, 1L, 3L, 1L, 2L, 3L, 3L, 1L, 2L, 3L, 2L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 9L, 8L, 8L, 7L, 12L,          14L, 13L, 7L, 12L, 8L, 8L, 10L, 9L, 8L, 6L, 5L, 5L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,          1L, 1L, 2L, 1L, 1L, 3L, 1L, 1L, 1L, 2L, 1L, 1L), DNeighbour = c(0,          5.00364926631828, 120.907937015164, 353.310159363283,          380.154026872507, 380.931327732803, 482.510888807092,          724.79804461191, 766.712165520165, 909.360802113958,          932.815866547772, 1054.35380282915, 1078.95297597046,          1270.11388718647, 1446.72657091071, 1481.76201647036,          1568.1842268398, 1577.3380246522, 1725.06326443571, 1830.2981200422         )), row.names = c("768", "333", "854", "916", "982",      "39", "320", "140", "709", "348", "216", "375", "130", "69",      "379", "832", "413", "610", "562", "18"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999985052848878, 0.991291420401298, 0.926864056426633,      0.915581937386268, 0.915244014681981, 0.865834489293529,      0.710959265828037, 0.679837617585442, 0.567238637155157,      0.547976592405354, 0.446437442942293, 0.425749401877706,      0.268790086755245, 0.140787749166951, 0.118742075608872,      0.0707070607687192, 0.0662099302656888, 0.0124738175285182,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9727086066 
R squared (OOB):                  0.5805851 

$Forests[[769]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 375000, 369000,      335000, 390000, 398000, 485000, 455000, 368000, 395000, 376000,      388000, 360000, 370000, 325000, 373000, 408000, 325000, 389000,      330000), floor_area_sqm = c(101, 90, 94, 93, 101, 100, 93,      93, 100, 101, 101, 100, 104, 98, 84, 103, 100, 85, 103, 84     ), storey_order = c(3L, 5L, 5L, 5L, 4L, 2L, 7L, 3L, 2L, 4L,      2L, 4L, 2L, 2L, 5L, 1L, 4L, 1L, 2L, 4L), remaining_lease_mths = c(952,      946, 942, 921, 932, 924, 1137, 1139, 923, 936, 948, 922,      804, 912, 812, 870, 921, 830, 863, 806), PROX_CBD = c(10.5394819073022,      10.5038890156487, 10.5038890156487, 10.6321305837804, 10.247812625002,      10.2027088676681, 10.5587309121129, 10.5974154418399, 10.5911430304609,      10.5347600839054, 10.1515839247586, 10.3133134299625, 10.0879656312395,      10.6430674352334, 9.87023127008802, 9.95029435977204, 10.7481925626994,      10.1989356004427, 9.90721965789512, 9.63621863936401), PROX_ELDERLYCARE = c(1.55101586165687,      1.64894906385774, 1.64894906385774, 1.32435226249417, 1.89270432318243,      1.63738856945076, 1.80931542236799, 1.80859644276987, 1.2745451415541,      1.31633228018286, 1.93850967877536, 1.4124150938613, 1.31022889057949,      1.10983952182968, 1.35138892750767, 2.09611483432966, 1.00181077128688,      1.08623091115154, 2.17440400131014, 1.48805339077067), PROX_HAWKER = c(0.463304434183495,      0.53455823354733, 0.53455823354733, 0.382898898882956, 0.561647681218514,      0.264427923442986, 0.792644050178693, 0.832920293493618,      0.314632743063994, 0.259744380023822, 0.608980172673109,      0.0623262564011618, 0.196699811405185, 0.494234864614673,      0.410023469086153, 0.876506442172381, 0.591883114810231,      0.368744432216956, 1.08766938871094, 0.677896697868769),          PROX_MRT = c(1.31136747445593, 1.36742764633517, 1.36742764633517,          1.20430491709432, 1.63637339364314, 1.392302848886, 1.33157685526365,          1.28588132880872, 1.14211364891441, 1.15842683571226,          1.73271025710532, 1.09471398918577, 1.09046737609619,          0.91242151857363, 1.23646610314009, 1.8917195123599,          0.80807654444201, 0.78040997284139, 1.9078610258369,          1.32502198166586), PROX_PARK = c(0.594979546415276, 0.486479545769779,          0.486479545769779, 0.852996238213812, 0.443665461164749,          0.728383914708498, 0.251058120460841, 0.248039629274522,          0.997953552798557, 1.00657829367171, 0.464183104254495,          0.826294351272671, 0.604882226694947, 1.09293299728603,          0.375073916060521, 0.516721166595223, 1.13130385684233,          0.808282577864154, 0.551504280527303, 0.202594030185392         ), PROX_GOOD_PRISCH = c(0.89296386953394, 0.819356328881161,          0.819356328881161, 1.09467860924251, 0.550324531917386,          0.689163418131917, 0.819366619188368, 0.856849085387122,          1.15731102426836, 1.12709017589061, 0.447003801568155,          0.993301788551023, 0.87937610392538, 1.4206810513637,          0.706117631385061, 0.213708578130609, 1.51127824976447,          1.199846441039, 0.299143542468678, 0.53169554186008),          PROX_MALL = c(0.357726596913911, 0.3366209001709, 0.3366209001709,          0.512358501951296, 0.190941194230935, 0.12742430838485,          0.516143411126369, 0.562952549426665, 0.441630162720786,          0.464767570965945, 0.217974225134877, 0.450275200033962,          0.441232897113797, 0.220538248250442, 0.445899708163642,          0.493813340134231, 0.114469773448463, 0.663851500718272,          0.701652802220213, 0.564979440463645), PROX_CHAS = c(0.263233285458842,          0.232134688144963, 0.232134688144963, 0.394471723674887,          0.190941257524933, 0.127424254451578, 0.236682264577822,          0.235419924819913, 0.327465416824022, 0.272565000598528,          0.217974279370684, 0.071192987667569, 0.177420148260447,          0.0703959269798554, 0.0764125853219005, 0.36937911638564,          0.0793642323922721, 0.0710453772718398, 0.242250716663617,          0.204909081807225), PROX_SUPERMARKET = c(0.263232243208913,          0.232133828519976, 0.232133828519976, 0.447614574279886,          0.19229406714866, 0.129189539659537, 0.236682533577294,          0.23542039277371, 0.441631117888638, 0.464768447350912,          0.216455869736569, 0.330151298165832, 0.320748009942088,          0.220538485726081, 0.158655939798418, 0.359694409353041,          0.114469867006585, 0.00115080458448496, 0.157554225694085,          0.145410708854306), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 3L, 0L, 2L, 2L, 1L, 1L, 1L, 1L, 0L, 0L, 1L,          2L, 1L, 0L, 2L, 1L), WITHIN_350M_CHILDCARE = c(6L, 5L,          5L, 3L, 10L, 6L, 7L, 7L, 1L, 1L, 9L, 4L, 5L, 2L, 5L,          7L, 4L, 4L, 6L, 3L), WITHIN_350M_BUS = c(15L, 11L, 11L,          12L, 10L, 13L, 10L, 10L, 13L, 15L, 10L, 15L, 11L, 13L,          8L, 12L, 10L, 12L, 10L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 6L, 5L,          3L, 6L, 4L, 2L, 3L), DNeighbour = c(0, 109.665371291464,          112.589859330986, 261.161389207274, 345.357338683241,          357.85536412856, 362.768825829955, 396.208632219617,          407.337385046284, 418.167012253723, 444.570583406616,          488.339589262444, 625.019627343322, 729.210918443681,          741.447468015738, 742.462618467898, 781.857088691539,          818.498473412727, 912.483535073162, 918.922646221377)), row.names = c("769",      "942", "734", "975", "667", "771", "614", "360", "718", "577",      "366", "513", "292", "627", "755", "780", "866", "967", "629",      "189"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.971718179226262,      0.970201217946505, 0.844980391404379, 0.737456582927731,      0.71968898984864, 0.712592128818813, 0.66275144472592, 0.645620918172065,      0.62871949928006, 0.586667108941554, 0.514929913736953, 0.28877154257804,      0.13710628026904, 0.121778112685041, 0.120536222440063, 0.0762143939942536,      0.0426943986448907, 0.000195031776440198, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1342225240 
R squared (OOB):                  0.1408442 

$Forests[[770]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 416000, 370000,      380000, 360000, 380000, 380000, 336000, 320000, 340000, 325000,      326000, 348000, 308000, 335000, 362000, 303888, 338000, 355000,      315000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 93, 90,      91, 90, 90, 101, 95, 90, 90, 94, 90, 94, 94, 87), storey_order = c(1L,      6L, 4L, 2L, 2L, 2L, 2L, 2L, 1L, 4L, 4L, 1L, 1L, 2L, 5L, 4L,      5L, 2L, 4L, 5L), remaining_lease_mths = c(1125, 1132, 1142,      1136, 1135, 1134, 1132, 966, 980, 1011, 973, 942, 968, 948,      998, 976, 1008, 1076, 1070, 1004), PROX_CBD = c(18.2305685201872,      18.2305685201872, 18.1918996486136, 18.1376577985599, 18.1376577985599,      18.2143914696608, 18.1279148711176, 18.263890012402, 18.4122801485573,      18.5954829873069, 18.5353901232527, 17.6460086713989, 18.0323194354466,      17.5548574672099, 18.976831626196, 18.3273029006797, 19.0279685600245,      18.893500205596, 18.9417612550563, 18.9558501171738), PROX_ELDERLYCARE = c(2.5602844754638,      2.5602844754638, 2.49884668013329, 2.49441526227585, 2.49441526227585,      2.48612553786713, 2.51087611030153, 2.93603771613334, 3.05606256580079,      3.21245115339435, 3.18651864771223, 2.69583292953839, 2.88259030935981,      2.64072586785555, 3.28231449363414, 2.7120525382807, 3.26154359027314,      3.10102691254995, 3.09832013994742, 3.04148171914245), PROX_HAWKER = c(0.555435817196439,      0.555435817196439, 0.600683099416637, 0.528296501129656,      0.528296501129656, 0.65924673205969, 0.487567663506197, 0.135415800319106,      0.284310921582288, 0.468862715548992, 0.491879726860981,      0.543702723258422, 0.459055170630849, 0.624754154933827,      0.923592674397851, 0.729165861663657, 0.990561993667382,      0.926259022488312, 0.981837341088666, 1.03425383708264),          PROX_MRT = c(0.810957189319413, 0.810957189319413, 0.859544339931905,          0.789676869843372, 0.789676869843372, 0.88189566435518,          0.74928998522808, 0.269488316579814, 0.34633408104891,          0.485913485771313, 0.375479822529604, 0.514213843772978,          0.228324090957444, 0.605396305517498, 0.822784932057268,          0.470919202147399, 0.880588410111357, 0.777214903782309,          0.831940647091921, 0.87145727172961), PROX_PARK = c(0.269300347674678,          0.269300347674678, 0.210024151789668, 0.276326305891841,          0.276326305891841, 0.161329073171627, 0.317511189836545,          0.826451671225411, 0.872887750975024, 0.966363588730214,          1.15334089580929, 0.873328686748902, 1.25712692932115,          0.801838254358626, 1.4431849310919, 1.51959638840156,          1.5140651316136, 1.53153013283021, 1.58031197441792,          1.64892029001525), PROX_GOOD_PRISCH = c(8.60245346442475,          8.60245346442475, 8.56698720173726, 8.50873818737911,          8.50873818737911, 8.59299650088468, 8.49670627721454,          8.61262144573917, 8.76068312560123, 8.94334048589707,          8.87993213136606, 7.99076792195858, 8.37645219680457,          7.89964805631792, 9.32093903042593, 8.6741083827629,          9.37202430611723, 9.23793284137011, 9.2863930262578,          9.30119351841798), PROX_MALL = c(0.89702383385846, 0.89702383385846,          0.849415447505653, 0.814982856398022, 0.814982856398022,          0.861156548991099, 0.819155488013484, 0.374925429890344,          0.458641270318743, 0.594166870248601, 0.460655941356388,          0.441435937338541, 0.12060760008054, 0.456293365362214,          0.897736377807805, 0.437943127987326, 0.951179576311185,          0.833273819621717, 0.886414086630636, 0.918650450187965         ), PROX_CHAS = c(0.080524556228062, 0.080524556228062,          0.110754204684376, 0.0547102897319272, 0.0547102897319272,          0.170239874320939, 0.0462043949149095, 0.0541347282504724,          0.182706372800723, 0.186588167457245, 0.165734202429707,          0.441435968696221, 0.120607657412939, 0.456293399812874,          0.237819060284531, 0.319053536773146, 0.184556275618948,          0.143741090403558, 0.0880613138842689, 0.067384164825537         ), PROX_SUPERMARKET = c(0.512175097136782, 0.512175097136782,          0.565642852259794, 0.504768063926141, 0.504768063926141,          0.532940464268134, 0.467157902200199, 0.0541355525390397,          0.182706945219403, 0.195869762300225, 0.167679568764744,          0.446325988440648, 0.119017844673248, 0.425112192123464,          0.322795161753339, 0.198027823348086, 0.3125742651816,          0.218188374485768, 0.175726554209016, 0.102761308178796         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 2L, 2L, 2L, 1L, 2L, 1L, 3L, 0L, 2L, 2L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L, 2L, 2L, 3L,          3L, 5L, 7L, 4L, 7L, 2L, 4L, 2L, 4L, 6L, 2L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(7L, 7L, 6L, 10L, 10L, 6L, 10L,          11L, 12L, 10L, 12L, 11L, 14L, 8L, 9L, 12L, 6L, 8L, 8L,          8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          4L, 5L, 5L, 5L, 3L, 4L, 2L, 4L, 5L, 4L, 4L, 4L, 4L),          DNeighbour = c(0, 7.64552055989355, 60.9871870926231,          94.8072082882823, 101.882183897025, 104.160297216024,          118.901658921178, 565.131927177898, 604.826085259608,          703.185655735385, 891.812094924882, 982.541857815853,          1019.73669931294, 1040.70714743701, 1196.34509142629,          1260.50360866199, 1267.6258948585, 1271.85996118409,          1319.66007650363, 1384.86159689916)), row.names = c("770",      "401", "600", "285", "378", "790", "461", "548", "722", "901",      "838", "456", "354", "514", "915", "873", "570", "745", "932",      "52"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999939042835943,      0.996124987388655, 0.990648504626463, 0.989204646241221,      0.98871785923143, 0.985311095931703, 0.694675781593784, 0.654897124143108,      0.550821760924074, 0.342576161119427, 0.246638997981586,      0.209576449111993, 0.189456043855248, 0.0643752362938492,      0.0294234206592505, 0.0262906290455217, 0.0245039473738312,      0.00845416830315725, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       542730417 
R squared (OOB):                  0.3538421 

$Forests[[771]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(398000, 390000, 388000,      360000, 376000, 385000, 375000, 369000, 325000, 395000, 335000,      368000, 330000, 485000, 325000, 373000, 455000, 333000, 418888,      370000), floor_area_sqm = c(100, 101, 100, 104, 101, 101,      90, 94, 84, 101, 93, 100, 84, 93, 85, 103, 93, 84, 100, 98     ), storey_order = c(2L, 4L, 4L, 2L, 2L, 3L, 5L, 5L, 5L, 4L,      5L, 2L, 4L, 7L, 1L, 1L, 3L, 3L, 2L, 2L), remaining_lease_mths = c(924,      932, 922, 804, 948, 952, 946, 942, 812, 936, 921, 923, 806,      1137, 830, 870, 1139, 823, 932, 912), PROX_CBD = c(10.2027088676681,      10.247812625002, 10.3133134299625, 10.0879656312395, 10.1515839247586,      10.5394819073022, 10.5038890156487, 10.5038890156487, 9.87023127008802,      10.5347600839054, 10.6321305837804, 10.5911430304609, 9.63621863936401,      10.5587309121129, 10.1989356004427, 9.95029435977204, 10.5974154418399,      9.85122377146013, 9.64941173000682, 10.6430674352334), PROX_ELDERLYCARE = c(1.63738856945076,      1.89270432318243, 1.4124150938613, 1.31022889057949, 1.93850967877536,      1.55101586165687, 1.64894906385774, 1.64894906385774, 1.35138892750767,      1.31633228018286, 1.32435226249417, 1.2745451415541, 1.48805339077067,      1.80931542236799, 1.08623091115154, 2.09611483432966, 1.80859644276987,      0.999223533815273, 1.9510043332774, 1.10983952182968), PROX_HAWKER = c(0.264427923442986,      0.561647681218514, 0.0623262564011618, 0.196699811405185,      0.608980172673109, 0.463304434183495, 0.53455823354733, 0.53455823354733,      0.410023469086153, 0.259744380023822, 0.382898898882956,      0.314632743063994, 0.677896697868769, 0.792644050178693,      0.368744432216956, 0.876506442172381, 0.832920293493618,      0.526313717816828, 0.940071074791988, 0.494234864614673),          PROX_MRT = c(1.392302848886, 1.63637339364314, 1.09471398918577,          1.09046737609619, 1.73271025710532, 1.31136747445593,          1.36742764633517, 1.36742764633517, 1.23646610314009,          1.15842683571226, 1.20430491709432, 1.14211364891441,          1.32502198166586, 1.33157685526365, 0.78040997284139,          1.8917195123599, 1.28588132880872, 0.907717901248049,          1.69853939108909, 0.91242151857363), PROX_PARK = c(0.728383914708498,          0.443665461164749, 0.826294351272671, 0.604882226694947,          0.464183104254495, 0.594979546415276, 0.486479545769779,          0.486479545769779, 0.375073916060521, 1.00657829367171,          0.852996238213812, 0.997953552798557, 0.202594030185392,          0.251058120460841, 0.808282577864154, 0.516721166595223,          0.248039629274522, 0.510337594738446, 0.624691995850973,          1.09293299728603), PROX_GOOD_PRISCH = c(0.689163418131917,          0.550324531917386, 0.993301788551023, 0.87937610392538,          0.447003801568155, 0.89296386953394, 0.819356328881161,          0.819356328881161, 0.706117631385061, 1.12709017589061,          1.09467860924251, 1.15731102426836, 0.53169554186008,          0.819366619188368, 1.199846441039, 0.213708578130609,          0.856849085387122, 1.05242409875061, 0.107363170703005,          1.4206810513637), PROX_MALL = c(0.12742430838485, 0.190941194230935,          0.450275200033962, 0.441232897113797, 0.217974225134877,          0.357726596913911, 0.3366209001709, 0.3366209001709,          0.445899708163642, 0.464767570965945, 0.512358501951296,          0.441630162720786, 0.564979440463645, 0.516143411126369,          0.663851500718272, 0.493813340134231, 0.562952549426665,          0.756051767526383, 0.625847194134012, 0.220538248250442         ), PROX_CHAS = c(0.127424254451578, 0.190941257524933,          0.071192987667569, 0.177420148260447, 0.217974279370684,          0.263233285458842, 0.232134688144963, 0.232134688144963,          0.0764125853219005, 0.272565000598528, 0.394471723674887,          0.327465416824022, 0.204909081807225, 0.236682264577822,          0.0710453772718398, 0.36937911638564, 0.235419924819913,          3.39583191183935e-08, 0.134178633248207, 0.0703959269798554         ), PROX_SUPERMARKET = c(0.129189539659537, 0.19229406714866,          0.330151298165832, 0.320748009942088, 0.216455869736569,          0.263232243208913, 0.232133828519976, 0.232133828519976,          0.158655939798418, 0.464768447350912, 0.447614574279886,          0.441631117888638, 0.145410708854306, 0.236682533577294,          0.00115080458448496, 0.359694409353041, 0.23542039277371,          0.350225948243757, 0.344381560072065, 0.220538485726081         ), WITHIN_350M_KINDERGARTEN = c(0L, 3L, 1L, 0L, 1L, 2L,          2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 0L, 2L, 2L, 0L, 3L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 10L, 4L, 5L, 9L, 6L,          5L, 5L, 5L, 1L, 3L, 1L, 3L, 7L, 4L, 7L, 7L, 3L, 3L, 2L         ), WITHIN_350M_BUS = c(13L, 10L, 15L, 11L, 10L, 15L,          11L, 11L, 8L, 15L, 12L, 13L, 7L, 10L, 12L, 12L, 10L,          10L, 8L, 13L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 5L,          4L, 4L, 4L, 4L, 5L, 4L, 4L, 4L, 3L, 3L, 4L, 3L, 3L, 4L,          3L, 6L), DNeighbour = c(0, 309.508463471338, 324.739619639568,          326.959796053487, 344.714317045537, 357.85536412856,          375.872332009047, 381.116959658734, 386.103547300522,          436.281894891634, 445.246615377323, 473.363013879337,          572.24498683002, 599.416073570634, 609.036977657016,          618.398243601593, 647.283335554349, 656.188352737284,          716.748045588551, 727.675544185363)), row.names = c("771",      "667", "513", "292", "366", "769", "942", "734", "755", "577",      "975", "718", "189", "614", "967", "780", "360", "129", "459",      "627"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.67090370163314,      0.64134993592999, 0.636980803210388, 0.601539144104062, 0.574796984821283,      0.537564823602064, 0.526626570428211, 0.516192299635078,      0.410282740844256, 0.391386302998953, 0.332734858050189,      0.145597962490612, 0.103330749824911, 0.0896967477648191,      0.0771696505933483, 0.0435768891163486, 0.0349053591910116,      0.000888545243769116, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1466103664 
R squared (OOB):                  0.1411216 

$Forests[[772]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(578888, 525000, 558000,      463888, 415000, 540000, 475000, 7e+05, 670000, 348000, 372500,      420000, 315000, 450000, 490000, 380000, 330000, 433000, 452000,      410000), floor_area_sqm = c(95, 95, 92, 95, 92, 92, 93, 92,      92, 100, 102, 93, 91, 95, 92, 92, 91, 92, 95, 93), storey_order = c(2L,      5L, 6L, 1L, 2L, 6L, 4L, 4L, 5L, 3L, 2L, 2L, 1L, 2L, 3L, 1L,      3L, 4L, 4L, 4L), remaining_lease_mths = c(1134, 1141, 1136,      1140, 1130, 1142, 1130, 1126, 1121, 938, 931, 1099, 790,      1109, 1038, 1037, 951, 1084, 1112, 788), PROX_CBD = c(11.5493041544933,      11.6190928108465, 11.665784828589, 11.4133195883395, 11.3687765497058,      11.3687765497058, 11.4536743231806, 11.1573644039326, 11.0595651330709,      11.8646943012694, 11.9627383543319, 11.8999896789117, 10.6917699702976,      12.0901026943072, 11.6213283462416, 11.6419253241709, 12.402570085049,      11.8702915361943, 12.1424265739316, 10.7402382849343), PROX_ELDERLYCARE = c(1.47184415110161,      1.40356458884146, 1.35367167055226, 1.61512702812623, 1.27208236570677,      1.27208236570677, 1.19895989384568, 1.34447435494956, 1.41694161867716,      0.893707553155367, 0.96089261866182, 0.790393757138983, 1.07660186858624,      0.911165280518988, 0.621923465733728, 0.626216066088841,      0.628872951670854, 0.670900780040593, 0.88680281476439, 1.05196585123006     ), PROX_HAWKER = c(1.35052465166479, 1.37423229702662, 1.3549106116919,      1.4377955077332, 1.07923254025891, 1.07923254025891, 1.02903329925728,      1.10011050744246, 1.19495083476736, 0.888626336009462, 0.983415578941634,      0.820501997631561, 1.35937058559257, 0.995330006841388, 0.537052085835962,      0.553081930127745, 1.50745216628998, 0.715369360111721, 0.999275592501037,      1.02652926791064), PROX_MRT = c(0.653877184653349, 0.615423035680267,      0.561684506891731, 0.8250506195824, 0.671331594421278, 0.671331594421278,      0.573574303209013, 0.876646963171676, 0.991329354536752,      0.214047355776769, 0.122900516984256, 0.261250382411254,      0.753106278920522, 0.231980634651484, 0.182944945438028,      0.168432978085695, 0.198968515523371, 0.146531371307633,      0.303530488733859, 0.546812793492647), PROX_PARK = c(0.597750851398377,      0.654992910383756, 0.671016599957339, 0.60176146852012, 0.294690087030438,      0.294690087030438, 0.341254943367627, 0.189026691537682,      0.275833477585303, 0.747986195716587, 0.836149627657164,      0.813614799778521, 0.536819237128991, 0.750469455971567,      0.643411448820926, 0.654970873229416, 0.61879465488716, 0.8322137924942,      0.699596772952975, 0.401614025373747), PROX_GOOD_PRISCH = c(3.26501815247482,      3.31796907605439, 3.32537175969635, 3.26097143466547, 2.95589454100459,      2.95589454100459, 2.96812409551872, 2.83177349547833, 2.8385375863655,      3.05097986431403, 3.15511978010431, 3.00567179865442, 2.68318776685765,      3.19167768034691, 2.69528593883292, 2.71543842399088, 3.69141799128789,      2.91053685401804, 3.20088339163048, 2.39141973384207), PROX_MALL = c(0.808458836713889,      0.768943294332632, 0.714662485508778, 0.979751787656279,      0.814743407183115, 0.814743407183115, 0.714729745574342,      0.831480717149744, 0.76911725394793, 0.265637621954407, 0.161680393170103,      0.283076960540796, 0.459259689573629, 0.1200910408013, 0.597386337892971,      0.576398809288588, 0.407881748949563, 0.385092319171944,      0.171446483339376, 0.344610557976029), PROX_CHAS = c(0.0498455969042401,      0.119929951445322, 0.167944095298073, 0.136218265087875,      0.257507761616553, 0.257507761616553, 0.31407050179696, 0.0819321575559949,      0.0661119226245057, 0.265637621677666, 0.161680400961643,      0.283076936045466, 0.0626028682349028, 0.120090990225825,      0.130352204164602, 0.118628580179885, 0.407881782403473,      0.179381733260264, 0.171446425970546, 0.106045676778667),          PROX_SUPERMARKET = c(0.0982179911218008, 0.16327623873727,          0.215917356790886, 0.0830307595499944, 0.30094246041235,          0.30094246041235, 0.345653574215055, 0.408274605358357,          0.444069124865739, 0.211091622880127, 0.107037284539066,          0.236972988988714, 0.550262392018624, 0.109512866312649,          0.0679201472407272, 0.0879874709963817, 0.451295114828249,          0.31749021679057, 0.178201527122821, 0.357992185767737         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 1L, 1L,          0L, 1L, 2L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 1L, 3L, 3L, 3L,          2L, 3L, 3L, 7L, 8L, 7L, 3L, 8L, 6L, 6L, 3L, 9L, 7L, 3L         ), WITHIN_350M_BUS = c(4L, 3L, 4L, 4L, 10L, 10L, 8L,          6L, 9L, 8L, 9L, 9L, 7L, 8L, 8L, 8L, 9L, 10L, 9L, 6L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L, 3L, 3L, 4L, 3L,          3L, 5L, 4L, 5L, 3L, 4L, 6L, 5L, 4L, 5L, 5L, 5L), DNeighbour = c(0,          74.8130093110657, 117.941892845467, 173.944648530429,          309.765562520011, 309.79232582869, 328.575614111102,          464.627490728946, 511.436822520213, 692.81179501067,          710.420793350646, 816.207058210335, 869.1358493551, 872.368462660237,          876.281814085634, 878.240683737175, 899.805113888694,          908.619285009706, 944.988693419494, 945.050509968139)), row.names = c("772",      "160", "830", "303", "157", "876", "132", "425", "407", "232",      "295", "185", "569", "117", "89", "421", "80", "110", "147",      "6"), class = "data.frame"), num.trees = 500, mtry = 4, importance = "impurity",      case.weights = c(1, 0.9875057194616, 0.969092715485315, 0.933392572176177,      0.796667669267335, 0.796634527495148, 0.77284895801824, 0.574999381790189,      0.500033735637798, 0.213972609381395, 0.189142559970111,      0.0645580440391672, 0.0237790785117447, 0.0218748123308477,      0.0196670800039292, 0.0186025581131934, 0.00873481023931319,      0.00571731619788663, 1.71131930383128e-08, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10170253349 
R squared (OOB):                  0.0707606 

$Forests[[773]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(349000, 371000, 330000,      360000, 333000, 388000, 365000, 420000, 410000, 432000, 415000,      320000, 282000, 295000, 335000, 320000, 288000, 375000, 305000,      338000), floor_area_sqm = c(103, 100, 115, 99, 99, 92, 92,      92, 92, 92, 92, 84, 84, 84, 100, 104, 84, 102, 99, 102),          storey_order = c(2L, 2L, 1L, 3L, 3L, 1L, 1L, 1L, 2L,          4L, 2L, 4L, 1L, 4L, 4L, 4L, 3L, 3L, 4L, 4L), remaining_lease_mths = c(832,          918, 898, 915, 927, 1134, 1135, 1121, 1136, 1123, 1125,          885, 836, 875, 927, 893, 893, 932, 930, 922), PROX_CBD = c(18.0642207733449,          17.9318121245061, 18.4399301385868, 17.6482187406162,          17.6933534103443, 17.8160591469996, 17.8160591469996,          17.7152334804069, 17.7152334804069, 17.7152334804069,          17.7609329148819, 18.3433564216417, 18.5087583118065,          18.4249149071789, 17.5934100264964, 18.4249149071789,          18.3632948597919, 17.424297644009, 17.5508688704121,          18.1611534549189), PROX_ELDERLYCARE = c(0.558648465009425,          0.559180828327224, 0.789710764787337, 0.399377154365588,          0.174626049595048, 0.101440000613482, 0.101440000613482,          0.0982899037000713, 0.0982899037000713, 0.0982899037000713,          0.0656405943898966, 0.623669944895056, 0.855934448185717,          0.705240184131779, 0.183364759720919, 0.705240184131779,          0.645296274244347, 0.332680427012888, 0.169110695114153,          0.519233937445895), PROX_HAWKER = c(1.20831273824173,          1.18812307179958, 1.26661829972954, 1.11261554439583,          0.89059259132002, 0.755409785256781, 0.755409785256781,          0.815736811633103, 0.815736811633103, 0.815736811633103,          0.769612072642938, 0.960648791795978, 1.00705768005988,          1.0161652570538, 0.860123145519879, 1.0161652570538,          0.921741667576702, 1.2762396177499, 0.736171211400498,          0.617364695979906), PROX_MRT = c(0.387700307898407, 0.256828620430729,          0.715824290886542, 0.417091391951799, 0.606842528225389,          0.729659889526201, 0.729659889526201, 0.674833365376197,          0.674833365376197, 0.674833365376197, 0.714624513867521,          0.899458799363821, 0.534460782086299, 0.906393011935236,          0.675234243169572, 0.906393011935236, 0.927224403125457,          0.484502150769697, 0.804998329325227, 0.623413162025338         ), PROX_PARK = c(1.04306097562022, 1.11695175135574,          0.859791414716402, 1.38656874841243, 1.49905344652453,          1.49250729308795, 1.49250729308795, 1.52614967260321,          1.52614967260321, 1.52614967260321, 1.52091098886828,          1.17596756648915, 0.516289874277036, 1.13759587953072,          1.60355051242194, 1.13759587953072, 1.22890358268929,          1.39102562335911, 1.71737354643835, 1.52418818882418),          PROX_GOOD_PRISCH = c(8.76549326341746, 8.65275846320069,          9.10971468714541, 8.34983568407236, 8.34857469941546,          8.44175881664207, 8.44175881664207, 8.35538963357137,          8.35538963357137, 8.35538963357137, 8.39120163011403,          8.95760590087653, 9.25922423900801, 9.03817471771729,          8.24279341902993, 9.03817471771729, 8.96505409295358,          8.1609833985331, 8.17476856172454, 8.72758527833631),          PROX_MALL = c(0.424594513900518, 0.417130987397582, 0.107021299056373,          0.439097430243665, 0.223321337745784, 0.183177100903513,          0.183177100903513, 0.158599011552442, 0.158599011552442,          0.158599011552442, 0.147411017927622, 0.22079632378696,          0.521454353681198, 0.204519313237763, 0.188384425612312,          0.204519313237763, 0.282416841692855, 0.394560370801339,          0.109574351562212, 0.475604736810637), PROX_CHAS = c(0.124680964632411,          0.259891808560044, 0.107021320216693, 0.414359256629807,          0.21485891447712, 0.183177099178452, 0.183177099178452,          0.158598978424062, 0.158598978424062, 0.158598978424062,          0.14741100268466, 0.167893491583302, 0.521454374874156,          0.20451929737041, 0.151781240761386, 0.20451929737041,          0.231219576578415, 0.265229996652697, 0.048268048492383,          0.405258493214775), PROX_SUPERMARKET = c(0.424593495373258,          0.438907970807184, 0.107021556198121, 0.441697647833666,          0.218378438252518, 0.137568853383185, 0.137568853383185,          0.144345834884574, 0.144345834884574, 0.144345834884574,          0.113022549454425, 0.220795796105544, 0.521454611985023,          0.204519239868594, 0.209139790637019, 0.204519239868594,          0.282416494634945, 0.265230176390619, 0.15801430638391,          0.475604214408431), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 0L, 1L, 1L,          1L, 1L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(2L, 3L,          4L, 3L, 5L, 8L, 8L, 6L, 6L, 6L, 8L, 8L, 1L, 7L, 6L, 7L,          8L, 2L, 7L, 5L), WITHIN_350M_BUS = c(7L, 9L, 7L, 9L,          13L, 15L, 15L, 12L, 12L, 12L, 10L, 8L, 4L, 9L, 12L, 9L,          8L, 9L, 12L, 10L), WITHIN_1KM_PRISCH = c(6L, 7L, 3L,          7L, 8L, 6L, 6L, 7L, 7L, 7L, 6L, 4L, 4L, 4L, 8L, 4L, 4L,          5L, 6L, 6L), DNeighbour = c(0, 159.68962641704, 392.709253141346,          425.444599308132, 459.878179109258, 474.895091387942,          482.515193568012, 485.467720604061, 486.305118256914,          489.847268000684, 490.400772164779, 510.553124837135,          525.396743605542, 556.633072157839, 557.597487781852,          563.097521409157, 577.914679488248, 646.01496644995,          671.555028584621, 727.650089372599)), row.names = c("773",      "976", "247", "891", "112", "53", "402", "289", "13", "298",      "365", "953", "393", "265", "419", "738", "864", "736", "438",      "330"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.905994792402072,      0.502296940069127, 0.433155960415019, 0.360684599060673,      0.32954290099805, 0.313913005823595, 0.307893595135494, 0.306190339754322,      0.299005868536116, 0.297886238795463, 0.257751385433261,      0.2291055909343, 0.172071872095047, 0.17039223540904, 0.160916893487278,      0.136318728746665, 0.0448565073296627, 0.0219746348870351,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       831526801 
R squared (OOB):                  0.5908365 

$Forests[[774]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(3e+05, 342000, 370000,      4e+05, 375000, 425000, 368000, 395888, 390000, 313000, 332000,      310000, 310000, 365000, 345000, 371000, 350000, 338000, 330000,      330000), floor_area_sqm = c(94, 105, 92, 100, 100, 93, 100,      94, 91, 103, 104, 104, 104, 91, 92, 91, 107, 103, 104, 105     ), storey_order = c(2L, 4L, 3L, 5L, 5L, 3L, 2L, 3L, 2L, 4L,      3L, 3L, 2L, 5L, 2L, 2L, 3L, 4L, 3L, 1L), remaining_lease_mths = c(817,      822, 922, 923, 935, 1029, 937, 1063, 956, 823, 838, 838,      840, 965, 974, 957, 910, 836, 847, 909), PROX_CBD = c(18.4835571341017,      18.4174433264455, 18.2744201988815, 18.2155576397088, 18.2155576397088,      18.2498667293237, 18.1853912561079, 18.1899007658477, 17.980006840849,      19.0236365771618, 18.3394484051955, 18.2872060948971, 18.6954685875173,      17.6174166659189, 17.6174166659189, 17.630719557776, 18.8361111070307,      18.1853470145009, 18.238428451998, 18.4634083712346), PROX_ELDERLYCARE = c(2.12772209584432,      2.01990466694452, 1.91030467455468, 1.82774218733134, 1.82774218733134,      2.08641833813892, 1.83831888483507, 2.0412967820292, 1.69038013517483,      2.54744167947726, 1.68689945441126, 1.57361264937598, 1.96536267509963,      1.58663462608392, 1.58663462608392, 1.35614304544574, 2.10089317294022,      1.46334015610348, 1.49823830734066, 1.70649895251479), PROX_HAWKER = c(0.47819209562201,      0.365194571711665, 0.292675997882175, 0.218122417644225,      0.218122417644225, 0.574007707230075, 0.267411626133086,      0.56403310040428, 0.32947027962251, 0.905177457311038, 0.322806547864559,      0.464971900021808, 0.696312293428963, 0.699652587196505,      0.699652587196505, 0.550798352023498, 0.811063273063077,      0.490406092071559, 0.548143788898404, 0.656056303664779),          PROX_MRT = c(0.440067919828323, 0.394110762668951, 0.25859759791353,          0.24629140143503, 0.24629140143503, 0.270260950193414,          0.186589372260449, 0.225540054498686, 0.131298797620671,          0.985299554465195, 0.722989849955079, 0.870907467758581,          1.06426899086337, 0.430901962912929, 0.430901962912929,          0.481509556817778, 1.15964764660018, 0.888080533877704,          0.950317003394984, 1.05945750202888), PROX_PARK = c(0.199823808978303,          0.305293053539538, 0.366705585759005, 0.449638685926872,          0.449638685926872, 0.261745107633199, 0.431621232177097,          0.321396863181507, 0.597192139646456, 0.583731630523903,          0.845903786092674, 0.791043930625847, 0.939968281858902,          0.815337468455046, 0.815337468455046, 0.706852169587072,          0.99599902820202, 0.741201414908801, 0.690805332809177,          0.707700114575514), PROX_GOOD_PRISCH = c(7.82005706650481,          7.75189187586876, 7.60907430161507, 7.54917724573578,          7.54917724573578, 7.5938744989762, 7.51998659904145,          7.5338271442293, 7.31481473864251, 8.3582852678982, 7.67457853159282,          7.62743554697163, 8.03533881462458, 6.95710824587607,          6.95710824587607, 6.96345421686322, 8.17598486214089,          7.52724739525134, 7.58243576478886, 7.80883552790736),          PROX_MALL = c(0.482762920255867, 0.368677515727611, 0.31638525459609,          0.249434383428027, 0.249434383428027, 0.606938778613173,          0.304347432784639, 0.601163950940652, 0.38257003715367,          0.880738168625507, 0.270650184250749, 0.369641594977131,          0.50227152913363, 0.753687860987251, 0.753687860987251,          0.581015113036356, 0.605524804958104, 0.362005799982455,          0.291730094824992, 0.25445476080495), PROX_CHAS = c(0.297885151722028,          0.279695275413424, 0.258594927218762, 0.246283235408848,          0.246283235408848, 0.270276303087269, 0.186582621643492,          0.225556636612455, 0.131281394661179, 0.162790585292827,          0.186439783883369, 0.000458346083760352, 0.387978032092424,          0.430898255483663, 0.430898255483663, 0.481496129777697,          0.526621492045347, 0.11010335009361, 0.0811018368302058,          0.163921847201363), PROX_SUPERMARKET = c(0.402675729717655,          0.3481604922123, 0.297968471640837, 0.233030240431279,          0.233030240431279, 0.384544806397502, 0.289364184128333,          0.37174850741073, 0.37748716441855, 0.258877921583013,          0.279112228601587, 0.367596841627256, 0.500728516827066,          0.467885028141574, 0.467885028141574, 0.432325009404537,          0.596975645906049, 0.36017462873485, 0.289827711639516,          0.25256410508494), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 6L, 0L, 2L, 2L, 2L,          0L, 7L, 4L, 4L), WITHIN_350M_CHILDCARE = c(9L, 7L, 7L,          7L, 7L, 6L, 7L, 5L, 5L, 4L, 4L, 4L, 3L, 4L, 4L, 6L, 3L,          4L, 3L, 3L), WITHIN_350M_BUS = c(12L, 14L, 17L, 15L,          15L, 11L, 16L, 13L, 14L, 11L, 11L, 9L, 8L, 6L, 6L, 8L,          4L, 11L, 10L, 12L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L,          6L, 6L, 4L, 4L, 4L, 3L, 2L, 6L, 5L, 5L, 3L, 3L, 4L, 4L,          5L, 4L, 4L), DNeighbour = c(0, 118.355431380637, 223.083160237022,          305.137339684458, 307.923300589761, 317.129843807474,          317.918350210056, 368.693116688586, 509.550552286632,          541.137246407595, 649.69955167701, 832.137807235421,          846.38242501212, 871.650004635765, 874.90458875457, 877.062426635616,          888.4575677343, 903.749119445369, 940.573817885984, 954.581687183002         )), row.names = c("774", "257", "835", "643", "571",      "369", "31", "422", "910", "248", "693", "414", "817", "220",      "14", "547", "906", "857", "839", "748"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.969490917374833, 0.893753882181832, 0.806081337249898,      0.802719179283028, 0.791442899005414, 0.790465456211114,      0.72389861237727, 0.511315554921798, 0.46055542431703, 0.288119445764107,      0.0576414003851785, 0.0457305391639308, 0.0276248742147471,      0.0255901562709482, 0.0242800198688544, 0.0178869618207096,      0.0107467650660488, 0.00084875328892307, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       705707551 
R squared (OOB):                  0.3930738 

$Forests[[775]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(680000, 620000, 375000,      440000, 388000, 347000, 380000, 478000, 370000, 365000, 5e+05,      535000, 480000, 315000, 370000, 468888, 446000, 420000, 340000,      390000), floor_area_sqm = c(104, 104, 92, 103, 103, 103,      102, 92, 98, 103, 91, 92, 92, 84, 104, 92, 107, 90, 104,      104), storey_order = c(4L, 1L, 2L, 2L, 3L, 3L, 2L, 4L, 2L,      4L, 2L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 1L, 1L), remaining_lease_mths = c(806,      802, 938, 918, 935, 777, 938, 716, 767, 768, 706, 694, 692,      788, 763, 701, 783, 925, 772, 763), PROX_CBD = c(10.251706958731,      10.3151427398556, 12.0748651503812, 12.1964782349865, 12.2384019056968,      12.4516179583977, 12.4172252614445, 9.58813304663833, 12.6407298816561,      12.6612960596841, 10.2657373615824, 9.76973796844692, 9.76973796844692,      13.0463978034086, 13.075732494377, 9.79963982832759, 13.1163383572019,      12.960867808991, 13.1145091682395, 13.1145091682395), PROX_ELDERLYCARE = c(0.2905717823942,      0.330781443478472, 0.485644504612505, 0.395535007521183,      0.481492260541915, 0.517665393733001, 0.466477120293287,      0.251441869005946, 0.198383641986835, 0.349885373003571,      0.519949541574078, 0.487200680071974, 0.487200680071974,      0.612412426395362, 0.206309775801723, 0.390845215421192,      0.258125844069092, 0.579007844644764, 0.233566729538939,      0.233566729538939), PROX_HAWKER = c(0.185152730473859, 0.158411808335189,      1.97379568283644, 2.11269605893479, 2.08679181031876, 1.97187302693261,      1.89270186421095, 0.391674386653945, 1.70233840124208, 1.71720286170745,      0.527790221924738, 0.323134910569429, 0.323134910569429,      1.36023111372333, 1.2806114078583, 0.315572935590663, 1.23349193679857,      1.16344345150942, 1.24018164124527, 1.24018164124527), PROX_MRT = c(0.329298986744561,      0.225881718556356, 1.16171233055988, 1.03396693725809, 1.00400763232319,      1.07246547116041, 0.847625669994717, 0.707146681079003, 0.712674611555213,      0.798149237832703, 0.351828842975553, 0.307725216106606,      0.307725216106606, 0.622051877914657, 0.218393806785847,      0.308409661615337, 0.166998983475289, 0.899387073359532,      0.402767024758649, 0.402767024758649), PROX_PARK = c(0.433052663426989,      0.503726079472253, 0.570565135790359, 0.631382355736929,      0.617440020241687, 0.540079114132334, 0.790049777369869,      0.630094576064042, 0.87239282209614, 0.722272593032778, 0.752867192571236,      0.692980820038259, 0.692980820038259, 0.572775970192077,      1.31516124688894, 0.556935587195362, 1.28385310080255, 1.44660566239193,      1.4917670023494, 1.4917670023494), PROX_GOOD_PRISCH = c(0.178279914989512,      0.238878321625081, 2.03318600563725, 2.16851203086393, 2.2532718981807,      2.37408427308534, 2.44639044951476, 1.10432321767326, 2.56532775368338,      2.58047246486208, 0.402201611323318, 0.945616550360875, 0.945616550360875,      2.96540091825049, 3.06740437701091, 0.97109568154285, 3.10133739012884,      2.82458087567675, 3.15473759747012, 3.15473759747012), PROX_MALL = c(0.409325390211749,      0.307979604675516, 1.24268779707958, 1.12036230953297, 1.10261213560447,      1.09246464633101, 0.95273084922996, 0.759347764163403, 0.751522975449472,      0.817237002784756, 0.347570072991699, 0.3113714109904, 0.3113714109904,      0.587476612974174, 0.332903613799786, 0.277854565241424,      0.281310431650798, 0.695129776671669, 0.504156272689578,      0.504156272689578), PROX_CHAS = c(0.239000132427376, 0.132816387601245,      0.0669716337617594, 0.194956542036987, 0.187666753228527,      0.137011223676854, 0.132703338642494, 0.395290416984683,      0.217156748290024, 0.248450831201433, 0.329846033180528,      0.164045702260751, 0.164045702260751, 0.40513819943783, 0.122328851042638,      0.213793078898363, 0.155371621529032, 0.341366062526918,      0.11048408202451, 0.11048408202451), PROX_SUPERMARKET = c(0.258988936146552,      0.143795860421689, 0.301394789473075, 0.242376621204914,      0.388917381074845, 0.417679622168911, 0.453312253927337,      0.20799335196523, 0.217156859083098, 0.326739034058403, 0.353445486406562,      0.329801606095394, 0.329801606095394, 0.599997973636583,      0.193246634773484, 0.217115292225756, 0.141466460051892,      0.668273194253219, 0.362446168440829, 0.362446168440829),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          0L, 0L, 2L, 2L, 1L, 1L, 1L, 2L, 0L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 4L, 2L, 4L, 2L, 3L,          3L, 2L, 4L, 3L, 4L, 3L, 3L, 2L, 4L, 4L, 4L, 1L, 6L, 6L         ), WITHIN_350M_BUS = c(6L, 8L, 9L, 9L, 10L, 9L, 9L, 7L,          10L, 12L, 10L, 11L, 11L, 7L, 10L, 11L, 9L, 2L, 7L, 7L         ), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 3L, 2L,          2L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 3L),          DNeighbour = c(0, 123.927123063373, 1855.50218653668,          1990.2744773543, 2072.10127802762, 2210.11174828429,          2273.28335216691, 2308.22525529815, 2393.36188419811,          2407.42460987569, 2522.54710275513, 2788.43622529312,          2791.24871867179, 2794.70044063646, 2887.48838067315,          2924.23535860477, 2926.41165871473, 2971.74124597368,          2974.18486062879, 2979.68340721655)), row.names = c("775",      "108", "721", "677", "399", "851", "296", "640", "477", "552",      "649", "68", "926", "987", "929", "943", "105", "831", "844",      "164"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996543419263696,      0.374816291724396, 0.306744354486005, 0.26667422732939, 0.202356926059093,      0.174674803722042, 0.1599282928889, 0.125901871637166, 0.120563496020019,      0.0802580303881784, 0.0154375407549621, 0.0150014469695089,      0.0144741906794349, 0.00371186442997699, 0.00135947989571692,      0.00125578207423791, 2.83425413596529e-05, 1.35960818651613e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5955755749 
R squared (OOB):                  0.3313805 

$Forests[[776]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 380000, 418000,      4e+05, 350888, 398000, 340000, 418000, 4e+05, 4e+05, 380000,      735000, 390000, 680000, 660000, 676000, 663000, 655000, 655000,      350000), floor_area_sqm = c(92, 92, 92, 92, 93, 92, 92, 91,      104, 98, 93, 97, 92, 87, 87, 87, 87, 87, 87, 91), storey_order = c(1L,      4L, 4L, 4L, 3L, 3L, 1L, 5L, 2L, 4L, 3L, 6L, 1L, 6L, 3L, 3L,      4L, 5L, 1L, 4L), remaining_lease_mths = c(711, 695, 691,      690, 712, 714, 699, 774, 751, 718, 724, 1066, 685, 1076,      1066, 1120, 1124, 1121, 1123, 741), PROX_CBD = c(9.71066487891121,      9.61422948612377, 9.61422948612377, 9.59976569988281, 9.68679892421183,      9.95525560808738, 9.97016469840266, 9.35032791665702, 9.83498872427818,      9.5915755681771, 9.50206510185676, 9.96973817000633, 10.3184291669162,      10.1126951054664, 10.1126951054664, 9.49727834386093, 9.49727834386093,      9.49727834386093, 9.39818328429371, 8.70456515841861), PROX_ELDERLYCARE = c(0.385358274245319,      0.28812103687201, 0.28812103687201, 0.239547661796275, 0.35495808488012,      0.150508443509651, 0.14040561650552, 0.227789996497476, 0.611336059876525,      0.558000418748021, 0.619429799229152, 0.560133969723593,      0.724299376510179, 0.511544492658224, 0.511544492658224,      0.735218745429302, 0.735218745429302, 0.735218745429302,      0.718190414835305, 0.1203423949077), PROX_HAWKER = c(0.39402887106119,      0.398658919868918, 0.398658919868918, 0.436761476721694,      0.221606053969191, 0.153089379504462, 0.15909114400288, 0.508896406641727,      0.54583502916026, 0.434568479089541, 0.518318645141504, 0.246219700947935,      0.285348407142059, 0.268370020499938, 0.268370020499938,      0.639074974233661, 0.639074974233661, 0.639074974233661,      0.640059738279374, 0.867862446497739), PROX_MRT = c(0.746020760246364,      0.667432439829923, 0.667432439829923, 0.619962862184004,      0.760373725070279, 0.521845664201362, 0.494111782173202,      0.569946398217962, 0.722241727367494, 0.656590823238566,      0.533910829474844, 0.405168801785449, 0.752281430413819,      0.549740095282867, 0.549740095282867, 0.499971219475903,      0.499971219475903, 0.499971219475903, 0.401734036242065,      0.97670571404933), PROX_PARK = c(0.914740437498633, 0.922231693079911,      0.922231693079911, 0.957886982704992, 0.664893225436512,      0.730503149795042, 0.68588072489708, 0.726258134328713, 0.296755194228525,      0.355705093322714, 0.26219477257436, 0.868342722448078, 1.05219739289641,      0.878497256111703, 0.878497256111703, 0.298527066745392,      0.298527066745392, 0.298527066745392, 0.220484561261844,      0.288616932786395), PROX_GOOD_PRISCH = c(2.31351362539819,      2.38715383730665, 2.38715383730665, 2.35345437748376, 2.17803171840573,      2.01039924795066, 1.97396491196204, 2.41566392235711, 1.88657748145099,      2.11809049366399, 2.18628235132699, 1.55873028154778, 1.54472866778257,      1.46177539101005, 1.46177539101005, 2.17599822879711, 2.17599822879711,      2.17599822879711, 2.27458198186913, 2.418607930925), PROX_MALL = c(0.505770857705003,      0.43353114329251, 0.43353114329251, 0.387669919047214, 0.796976758090547,      0.757457219803541, 0.802483711672914, 0.406203001531397,      1.23747152538927, 1.22478662403239, 1.32833110917602, 0.129560175686973,      0.472532088410597, 0.269774803261538, 0.269774803261538,      1.45007786498113, 1.45007786498113, 1.45007786498113, 1.45650167595406,      0.948870628363287), PROX_CHAS = c(0.255589678637005, 0.28666502826278,      0.28666502826278, 0.263208245292117, 0.0707228333244178,      0.144412947448491, 0.187394625423847, 0.146235674893272,      0.352730820744124, 0.346218272658546, 0.219477506246216,      0.0647243745052949, 0.165961529218061, 0.20472250196774,      0.20472250196774, 0.101351467161616, 0.101351467161616, 0.101351467161616,      0.109789289200213, 0.27140983829104), PROX_SUPERMARKET = c(0.363062686357781,      0.396736556610776, 0.396736556610776, 0.44091986097032, 0.128382981112681,      0.204623167766534, 0.215556112381702, 0.347306649978202,      0.324694852199881, 0.300584979098838, 0.191210069763785,      0.241122798862169, 0.447507928623339, 0.35798039621586, 0.35798039621586,      0.0715849245259307, 0.0715849245259307, 0.0715849245259307,      0.13637298984998, 0.221415122113844), WITHIN_350M_KINDERGARTEN = c(1L,      2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 0L, 1L, 1L, 1L, 1L,      1L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(2L, 3L, 3L, 4L,      3L, 3L, 3L, 5L, 1L, 5L, 6L, 6L, 4L, 6L, 6L, 6L, 6L, 6L, 6L,      4L), WITHIN_350M_BUS = c(13L, 11L, 11L, 11L, 10L, 9L, 9L,      9L, 3L, 5L, 2L, 7L, 7L, 6L, 6L, 4L, 4L, 4L, 6L, 9L), WITHIN_1KM_PRISCH = c(4L,      4L, 4L, 3L, 4L, 4L, 4L, 3L, 3L, 2L, 1L, 2L, 5L, 3L, 3L, 1L,      1L, 1L, 1L, 2L), DNeighbour = c(0, 111.75688778001, 117.246669411653,      154.063538398078, 297.619400572962, 305.689338007149, 339.861106905463,      399.606703282482, 731.539533694928, 738.475091172229, 853.900412594142,      863.707267250041, 912.808333157739, 944.368070488267, 944.563271571911,      975.153013201496, 977.053052573563, 979.526403370856, 1003.8483118451,      1008.99690145228)), row.names = c("776", "603", "499", "964",      "946", "971", "211", "37", "659", "746", "539", "471", "97",      "316", "506", "593", "466", "731", "657", "71"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.975614773599894, 0.973176877171451, 0.953915198749312,      0.833560382587557, 0.82485095229186, 0.785962208486239, 0.710901105550622,      0.225008762547158, 0.21560840533039, 0.0805420047276377,      0.0714246769781286, 0.0329690425406514, 0.0153765909568032,      0.0152869009472533, 0.00435060986088499, 0.00388325125019933,      0.0033134238343076, 0.00010361866186717, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       23229166787 
R squared (OOB):                  -0.1241902 

$Forests[[777]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 395000, 380000,      368888, 375000, 394000, 378000, 378000, 333000, 324000, 320000,      310000, 330000, 345000, 335000, 375000, 373888, 320000, 345000,      364000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      100, 90, 100, 91, 102, 102, 100, 93, 93, 101, 102, 100),          storey_order = c(4L, 3L, 4L, 4L, 2L, 5L, 3L, 2L, 4L,          4L, 4L, 4L, 1L, 2L, 4L, 5L, 5L, 1L, 4L, 2L), remaining_lease_mths = c(1145,          1132, 1135, 1143, 1135, 1142, 1133, 1136, 928, 929, 930,          927, 911, 927, 930, 993, 990, 924, 926, 921), PROX_CBD = c(18.4659506582063,          18.4477570786683, 18.528449956106, 18.528449956106, 18.5586196198757,          18.5586196198757, 18.5541585191533, 18.6831604018118,          18.2095446148373, 18.3448727328387, 18.242108360018,          18.6571260927441, 18.2320763538069, 18.2868848905217,          17.9186379864086, 17.8363687874637, 17.8363687874637,          18.0902268845521, 18.236688278315, 17.9386403893839),          PROX_ELDERLYCARE = c(1.40960952841152, 1.45029388933935,          1.49671415705568, 1.49671415705568, 1.41981179339616,          1.41981179339616, 1.3934670212363, 1.47678345842271,          1.17430183890643, 1.12000720290482, 1.08331104464233,          1.27166470727688, 0.927534095024191, 0.896456720381782,          1.13507400842797, 1.40920769604983, 1.40920769604983,          0.706169610995159, 0.732088251039709, 0.714833653499633         ), PROX_HAWKER = c(0.861254406292383, 0.879695992543251,          0.947708217710491, 0.947708217710491, 0.915906485722884,          0.915906485722884, 0.899006211509986, 1.01746494726896,          0.579651089601917, 0.636376603494217, 0.548257960059823,          0.924657565926692, 0.493410913505403, 0.547085889030319,          0.435091735724103, 0.692541487012902, 0.692541487012902,          0.370412154176866, 0.537987121264097, 0.201936965562497         ), PROX_MRT = c(0.783375472664302, 0.801027338961469,          0.869531291623609, 0.869531291623609, 0.839968978875504,          0.839968978875504, 0.823747240068891, 0.943619619760125,          0.501132314022455, 0.565211037998289, 0.47401652613315,          0.861078471223358, 0.433316978327494, 0.495991449430539,          0.364011265623101, 0.634260663268818, 0.634260663268818,          0.341202563029131, 0.511061821383635, 0.168914117564514         ), PROX_PARK = c(2.321508063195, 2.38376543636855, 2.37596217173297,          2.37596217173297, 2.25577949184332, 2.25577949184332,          2.22642888666982, 2.2148581526701, 2.25371860749481,          2.08056453235766, 2.12857307310705, 1.95136051888807,          1.96114614265628, 1.86697967968657, 2.31505119222808,          2.04440878541867, 2.04440878541867, 1.8531048262974,          1.7164330470264, 1.99379565561889), PROX_GOOD_PRISCH = c(8.90481615501782,          8.8804818877731, 8.9605147002348, 8.9605147002348, 9.00274768401056,          9.00274768401056, 9.00155567304774, 9.12987022396436,          8.6635222339794, 8.81498363377987, 8.71021480286832,          9.13456945987866, 8.72297519828522, 8.78822500750919,          8.3676789538936, 8.25468587074647, 8.25468587074647,          8.60631027953587, 8.76378557853615, 8.4444135457925),          PROX_MALL = c(0.542775018358786, 0.601716003339109, 0.613385110580272,          0.613385110580272, 0.5054917244252, 0.5054917244252,          0.475387173022169, 0.525391611000181, 0.468966497593582,          0.284195187673565, 0.347669457974494, 0.300602441432182,          0.22704735136933, 0.1450338527091, 0.384238747959315,          0.630636123898788, 0.630636123898788, 0.342860958869265,          0.240339889961931, 0.238372860218233), PROX_CHAS = c(0.20305264112251,          0.260006933015678, 0.220932244035638, 0.220932244035638,          0.101888085354885, 0.101888085354885, 0.0809306171135589,          0.090990597005735, 0.3998394205418, 0.24769320941352,          0.274735402884708, 0.214120710257936, 0.11607611654581,          0.0217240252323136, 0.360842629752134, 0.221589023831152,          0.221589023831152, 0.209799590563819, 0.184864523484869,          0.076984763134016), PROX_SUPERMARKET = c(0.203051245143547,          0.260005577706646, 0.220931072377982, 0.220931072377982,          0.101886801165025, 0.101886801165025, 0.080929224247632,          0.0909910491430168, 0.402574253870019, 0.284194910851331,          0.347668959247477, 0.214121714630789, 0.227046556279957,          0.145032957963293, 0.360842909613722, 0.22158921197453,          0.22158921197453, 0.342860053820009, 0.240339157209448,          0.171190500184261), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 2L, 2L, 1L,          1L, 1L, 2L, 2L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 2L, 5L, 3L, 3L, 5L, 7L, 1L, 3L,          3L, 6L, 6L, 6L), WITHIN_350M_BUS = c(6L, 8L, 6L, 6L,          5L, 5L, 8L, 5L, 8L, 8L, 7L, 8L, 10L, 9L, 11L, 6L, 6L,          7L, 7L, 8L), WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 3L, 4L,          4L, 4L, 3L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 3L, 5L, 6L,          5L), DNeighbour = c(0, 60.2450137584034, 96.709165825447,          96.9084310056977, 110.957227716491, 111.396148108106,          118.646859052172, 235.281055192649, 278.575351476311,          291.14689101713, 325.153432940626, 398.082889778478,          483.933077212643, 537.057076639979, 547.876134400961,          670.00292160115, 672.080008842986, 696.316795089274,          715.38019826307, 731.207900779057)), row.names = c("777",      "504", "102", "875", "35", "581", "563", "664", "243", "512",      "608", "761", "443", "787", "590", "118", "391", "74", "227",      "638"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.986469498467938,      0.965320857658017, 0.965179068056091, 0.95447706294333, 0.954120431274923,      0.948035644080968, 0.803647367633918, 0.730776188861558,      0.708052652808103, 0.643620810480203, 0.495065375239956,      0.315827275180133, 0.212097219394064, 0.192357932682203,      0.0257286484903056, 0.0240832368372808, 0.00867827131479389,      0.00183384249569158, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       331498354 
R squared (OOB):                  0.5885725 

$Forests[[778]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 390000, 3e+05,      380000, 350000, 388800, 333000, 420000, 680000, 660000, 380000,      735000, 325000, 347000, 320000, 370000, 562000, 540000, 462000,      398000), floor_area_sqm = c(83, 92, 92, 92, 92, 98, 89, 92,      87, 87, 92, 97, 82, 90, 90, 84, 107, 107, 105, 92), storey_order = c(3L,      1L, 2L, 4L, 4L, 2L, 1L, 5L, 6L, 3L, 2L, 6L, 4L, 5L, 2L, 3L,      7L, 6L, 1L, 3L), remaining_lease_mths = c(687, 685, 691,      693, 688, 697, 692, 694, 1076, 1066, 687, 1066, 666, 672,      672, 673, 957, 969, 965, 714), PROX_CBD = c(10.5501175985891,      10.3184291669162, 10.7273754880637, 10.7273754880637, 10.7428660694501,      10.7178846249378, 10.7178846249378, 10.5902646894981, 10.1126951054664,      10.1126951054664, 10.571248724537, 9.96973817000633, 10.0782341562763,      10.5036676165143, 10.5036676165143, 10.6549850760698, 10.9472701195372,      11.0486323727393, 10.9320040827019, 9.95525560808738), PROX_ELDERLYCARE = c(0.724362239545807,      0.724299376510179, 0.968089576161562, 0.968089576161562,      1.00386291289403, 0.903749132751209, 0.903749132751209, 0.476382036969741,      0.511544492658224, 0.511544492658224, 0.426373779355343,      0.560133969723593, 0.248412112584261, 0.346712236264009,      0.346712236264009, 0.531453703929196, 0.867518349265545,      0.974567200018427, 0.83761180429981, 0.150508443509651),          PROX_HAWKER = c(0.496328097640832, 0.285348407142059,          0.259491073356982, 0.259491073356982, 0.19921426515349,          0.131164348467149, 0.131164348467149, 0.142004884371921,          0.268370020499938, 0.268370020499938, 0.155284554597335,          0.246219700947935, 0.250435976222025, 0.255376275980047,          0.255376275980047, 0.345053577007401, 0.429153921265228,          0.436692566666558, 0.499252912381913, 0.153089379504462         ), PROX_MRT = c(0.92637591011884, 0.752281430413819,          0.880392787161762, 0.880392787161762, 0.911557541227745,          0.897030842789514, 0.897030842789514, 0.793335563342317,          0.549740095282867, 0.549740095282867, 0.822399768635659,          0.405168801785449, 0.622308556906305, 0.908007357991278,          0.908007357991278, 0.849090589690401, 0.638393210693291,          0.741783227751877, 0.582189406643083, 0.521845664201362         ), PROX_PARK = c(0.888350706343443, 1.05219739289641,          0.675703893946554, 0.675703893946554, 0.65460215425144,          0.68415716278098, 0.68415716278098, 0.57091664624863,          0.878497256111703, 0.878497256111703, 0.471129460807546,          0.868342722448078, 0.627458410441261, 0.381418159266178,          0.381418159266178, 0.204920490916151, 0.730900012581548,          0.644279497097323, 0.802226928628916, 0.730503149795042         ), PROX_GOOD_PRISCH = c(1.37609088117382, 1.54472866778257,          1.51964159199475, 1.51964159199475, 1.57772010642862,          1.69245386393467, 1.69245386393467, 0.962114901666907,          1.46177539101005, 1.46177539101005, 0.876989954992127,          1.55873028154778, 1.26151864262594, 0.825686703361669,          0.825686703361669, 0.576127248022356, 1.50789829567152,          1.50173151878208, 1.4460454342776, 2.01039924795066),          PROX_MALL = c(0.693136328895784, 0.472532088410597, 0.885934538444454,          0.885934538444454, 0.913300066979642, 0.922177591154216,          0.922177591154216, 0.838333779631814, 0.269774803261538,          0.269774803261538, 0.872531493441133, 0.129560175686973,          0.418279044459304, 0.873995522285645, 0.873995522285645,          1.12054305374088, 1.34630282297423, 1.41292867182356,          1.37776203899083, 0.757457219803541), PROX_CHAS = c(0.120595382532287,          0.165961529218061, 0.161497017697243, 0.161497017697243,          0.184868017131885, 0.141741960002869, 0.141741960002869,          0.0950095589968322, 0.20472250196774, 0.20472250196774,          0.109732367463933, 0.0647243745052949, 0.186550674976261,          0.217153936659979, 0.217153936659979, 0.290835710912963,          0.344403926608958, 0.375455350402476, 0.293630149165848,          0.144412947448491), PROX_SUPERMARKET = c(0.448117335537485,          0.447507928623339, 0.294310303883692, 0.294310303883692,          0.247977273863763, 0.141741503991008, 0.141741503991008,          0.190547463602814, 0.35798039621586, 0.35798039621586,          0.199099262156692, 0.241122798862169, 0.255147915067147,          0.291549431934698, 0.291549431934698, 0.292451786949051,          0.381194313170787, 0.408205375796458, 0.445162931243089,          0.204623167766534), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 2L, 2L, 2L, 2L, 2L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 0L,          1L, 1L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(2L, 4L,          3L, 3L, 3L, 4L, 4L, 2L, 6L, 6L, 3L, 6L, 5L, 2L, 2L, 1L,          0L, 0L, 0L, 3L), WITHIN_350M_BUS = c(6L, 7L, 4L, 4L,          5L, 6L, 6L, 6L, 6L, 6L, 5L, 7L, 5L, 6L, 6L, 7L, 2L, 2L,          0L, 9L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 5L, 5L,          5L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 4L, 4L         ), DNeighbour = c(0, 245.611668865797, 248.40702867339,          252.746409681357, 307.938150088389, 383.594293357522,          390.508176652057, 415.33940737004, 433.208611462972,          442.883154936607, 512.523147816003, 583.140490232029,          593.612743391015, 601.265545764965, 607.806463299511,          819.643053563633, 915.479323249255, 933.677934460107,          970.733940901854, 1147.27379953236)), row.names = c("778",      "97", "648", "651", "43", "429", "914", "701", "316", "506",      "210", "471", "84", "482", "940", "728", "255", "630", "671",      "971"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.91043757282191,      0.908436498589482, 0.905289728250787, 0.861103869880097,      0.788913726497374, 0.78170703604412, 0.755055694169901, 0.735168267935899,      0.724167185791163, 0.640689979083443, 0.550041388841241,      0.5362417052639, 0.526115299508566, 0.517435200746588, 0.239702741827799,      0.131956980345273, 0.114035847361595, 0.0806997765567887,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4154704252 
R squared (OOB):                  0.7559495 

$Forests[[779]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(455000, 455000, 432000,      395000, 520000, 550000, 498000, 510000, 532000, 589000, 490000,      535000, 545000, 550000, 465000, 460000, 4e+05, 403000, 510000,      375000), floor_area_sqm = c(92, 93, 93, 90, 93, 98, 93, 97,      96, 96, 95, 93, 93, 95, 93, 92, 92, 92, 92, 90), storey_order = c(4L,      5L, 5L, 1L, 4L, 4L, 2L, 2L, 4L, 6L, 2L, 4L, 5L, 4L, 5L, 2L,      1L, 1L, 3L, 4L), remaining_lease_mths = c(1133, 1138, 1129,      997, 1118, 1103, 1102, 1104, 1111, 1111, 1111, 1118, 1127,      1115, 1097, 1137, 1131, 1138, 1136, 986), PROX_CBD = c(13.5263069451707,      13.5153222954464, 13.4495242740615, 13.4480864429089, 13.7912064237251,      13.7784857598507, 13.8269911518463, 13.7787547800329, 13.8842234613226,      13.8838492138892, 13.7780295697528, 13.8964286142315, 13.8964286142315,      13.9206851659757, 13.8110145095205, 13.9481332653994, 13.9748767742628,      13.9348601041022, 14.0250110126613, 13.5741440973944), PROX_ELDERLYCARE = c(0.13293861465481,      0.128038783583345, 0.226392675254826, 0.38095926022983, 0.194902312085005,      0.303554199654945, 0.272443342502121, 0.357313426679343,      0.284905700992106, 0.321249151015697, 0.24280876806526, 0.28821019895416,      0.28821019895416, 0.410984632703067, 0.2424730747692, 0.108372417523696,      0.0869602171534455, 0.122633260073778, 0.0392522324995346,      0.759293685927778), PROX_HAWKER = c(1.0232116664491, 1.06471945671836,      1.13086059974118, 1.11021170000921, 0.761066408094757, 0.771130061467184,      0.718894335359525, 0.779750574682814, 0.667389882084889,      0.661984274687099, 0.855348356505915, 0.700607063348248,      0.700607063348248, 0.63246529422046, 0.93957565430704, 0.783686601130967,      0.759405218095962, 0.848294615942255, 0.732915378457501,      1.13978469441664), PROX_MRT = c(0.529059791722705, 0.531733722241289,      0.537207200764636, 0.436627689790507, 0.263976344610204,      0.334453451125385, 0.250191496834268, 0.373119808041594,      0.172676244118343, 0.202599849124069, 0.290902656750774,      0.214342865325431, 0.214342865325431, 0.247793554682504,      0.110074032088272, 0.146013494832411, 0.16215489673441, 0.066674836544346,      0.179377644983316, 0.147719870982538), PROX_PARK = c(1.00320858387115,      1.12627074536918, 1.14705623529365, 0.782217598170287, 1.03946212768551,      1.07038952907209, 1.00953333913803, 1.07510958061046, 0.946790994443363,      0.953674473627188, 1.08412864631293, 0.945155408432775, 0.945155408432775,      0.9355470513087, 1.12286028608686, 0.964943529987853, 0.93793434477989,      1.01289159319472, 0.898948825756494, 0.739375101722708),          PROX_GOOD_PRISCH = c(4.12550653324601, 4.05859518452173,          3.97306691053722, 4.1394886986689, 4.37243865161908,          4.41640053984819, 4.43409233459216, 4.43794264479214,          4.46427355245829, 4.48950135049007, 4.27934963146811,          4.42474408393319, 4.42474408393319, 4.55661004860153,          4.2580170038876, 4.41058426346667, 4.4381077472328, 4.3780728039611,          4.48326906164864, 4.41976113712118), PROX_MALL = c(0.734460127270614,          0.741140095950697, 0.817008429043632, 0.747053206605742,          0.47180896375681, 0.546157830895501, 0.464449368072494,          0.579723774298741, 0.384398044205003, 0.415387276861254,          0.507308338763366, 0.36232957329041, 0.36232957329041,          0.441605558767423, 0.585854127158584, 0.431747484707969,          0.408666125180857, 0.500682206465503, 0.387952579177684,          0.656440732478167), PROX_CHAS = c(0.164485608616764,          0.0484693686848179, 0.142936854782623, 0.419877338676521,          3.14247486029477e-08, 0.171232412843018, 0.093713435160417,          0.2330532561781, 0.0936868185767241, 0.130388475133542,          0.246000912873009, 0.190952462752685, 0.190952462752685,          0.230184731543739, 0.123846030022364, 0.0812590805558053,          0.0955424375353944, 3.70448785353559e-08, 0.116095717847762,          0.175269995719201), PROX_SUPERMARKET = c(0.265115106421715,          0.321659607097496, 0.417643104955167, 0.428569074432488,          8.52808058992138e-07, 0.171231859107883, 0.0937132175773042,          0.233052713938452, 0.093687407280864, 0.130388583033251,          0.271122867675942, 0.190953240917096, 0.190953240917096,          0.23018467784701, 0.157551778944521, 0.194128300134642,          0.205979542456043, 0.112910168339451, 0.21237786594893,          0.3594639622224), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L,          2L, 2L, 2L, 2L), WITHIN_350M_CHILDCARE = c(5L, 4L, 3L,          5L, 4L, 5L, 5L, 4L, 3L, 3L, 4L, 4L, 4L, 4L, 3L, 3L, 4L,          5L, 5L, 6L), WITHIN_350M_BUS = c(2L, 6L, 5L, 4L, 8L,          7L, 8L, 11L, 7L, 9L, 9L, 9L, 9L, 13L, 12L, 7L, 6L, 11L,          9L, 10L), WITHIN_1KM_PRISCH = c(6L, 5L, 4L, 7L, 5L, 6L,          5L, 8L, 5L, 5L, 6L, 5L, 5L, 5L, 4L, 4L, 4L, 4L, 4L, 9L         ), DNeighbour = c(0, 174.013259858153, 251.615649085269,          252.621624297862, 265.36995775164, 300.142119576867,          320.546699818084, 338.126971250278, 361.565641995347,          372.801293180019, 375.724171660139, 407.992734095099,          412.376554307851, 441.166717791314, 557.484989982819,          581.944302227878, 606.320125647297, 632.620971559985,          652.180459243427, 664.146281988905)), row.names = c("779",      "183", "988", "655", "420", "837", "376", "549", "670", "723",      "282", "760", "442", "516", "645", "34", "690", "356", "8",      "15"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.867413808059115,      0.733537962241052, 0.731569421703927, 0.706183738127617,      0.633244757483504, 0.588371945009935, 0.548787168938305,      0.495083097950058, 0.469108954424089, 0.462339069433372,      0.387657302520183, 0.37757091405791, 0.312209200717641, 0.0872647763937227,      0.0539273153413188, 0.027740867750721, 0.00858989451385097,      0.00127513907876047, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2472854591 
R squared (OOB):                  0.3285947 

$Forests[[780]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(373000, 389000, 376000,      418888, 390000, 408000, 405000, 398000, 485000, 330000, 375000,      369000, 455000, 355000, 340000, 330000, 385000, 325000, 335000,      360000), floor_area_sqm = c(103, 103, 101, 100, 101, 100,      102, 100, 93, 84, 90, 94, 93, 91, 91, 91, 101, 84, 84, 104     ), storey_order = c(1L, 2L, 2L, 2L, 4L, 5L, 3L, 2L, 7L, 4L,      5L, 5L, 3L, 3L, 1L, 4L, 3L, 5L, 2L, 2L), remaining_lease_mths = c(870,      863, 948, 932, 932, 916, 928, 924, 1137, 806, 946, 942, 1139,      763, 786, 777, 952, 812, 791, 804), PROX_CBD = c(9.95029435977204,      9.90721965789512, 10.1515839247586, 9.64941173000682, 10.247812625002,      9.71665400465424, 9.51108523911647, 10.2027088676681, 10.5587309121129,      9.63621863936401, 10.5038890156487, 10.5038890156487, 10.5974154418399,      9.41668106440496, 9.37335060635629, 9.37335060635629, 10.5394819073022,      9.87023127008802, 9.13853516155078, 10.0879656312395), PROX_ELDERLYCARE = c(2.09611483432966,      2.17440400131014, 1.93850967877536, 1.9510043332774, 1.89270432318243,      1.86385802759073, 1.80905665624389, 1.63738856945076, 1.80931542236799,      1.48805339077067, 1.64894906385774, 1.64894906385774, 1.80859644276987,      1.6892356184521, 1.66235796621519, 1.66235796621519, 1.55101586165687,      1.35138892750767, 1.86142420062345, 1.31022889057949), PROX_HAWKER = c(0.876506442172381,      1.08766938871094, 0.608980172673109, 0.940071074791988, 0.561647681218514,      1.14805608329678, 0.978663880778012, 0.264427923442986, 0.792644050178693,      0.677896697868769, 0.53455823354733, 0.53455823354733, 0.832920293493618,      0.864780296064508, 0.823170476035045, 0.823170476035045,      0.463304434183495, 0.410023469086153, 0.823671555860494,      0.196699811405185), PROX_MRT = c(1.8917195123599, 1.9078610258369,      1.73271025710532, 1.69853939108909, 1.63637339364314, 2.10187463598542,      1.99882067476962, 1.392302848886, 1.33157685526365, 1.32502198166586,      1.36742764633517, 1.36742764633517, 1.28588132880872, 2.02952953118228,      2.01327082024864, 2.01327082024864, 1.31136747445593, 1.23646610314009,      1.58022074581844, 1.09046737609619), PROX_PARK = c(0.516721166595223,      0.551504280527303, 0.464183104254495, 0.624691995850973,      0.443665461164749, 0.706984478917025, 0.674672834209049,      0.728383914708498, 0.251058120460841, 0.202594030185392,      0.486479545769779, 0.486479545769779, 0.248039629274522,      0.564264159971047, 0.548771819269344, 0.548771819269344,      0.594979546415276, 0.375073916060521, 0.533109662164166,      0.604882226694947), PROX_GOOD_PRISCH = c(0.213708578130609,      0.299143542468678, 0.447003801568155, 0.107363170703005,      0.550324531917386, 0.494123442243702, 0.439174603441127,      0.689163418131917, 0.819366619188368, 0.53169554186008, 0.819356328881161,      0.819356328881161, 0.856849085387122, 0.555662252109323,      0.581790960048334, 0.581790960048334, 0.89296386953394, 0.706117631385061,      0.605615063995802, 0.87937610392538), PROX_MALL = c(0.493813340134231,      0.701652802220213, 0.217974225134877, 0.625847194134012,      0.190941194230935, 1.00609620967541, 0.994410311642026, 0.12742430838485,      0.516143411126369, 0.564979440463645, 0.3366209001709, 0.3366209001709,      0.562952549426665, 0.873946799305891, 0.835862391091354,      0.835862391091354, 0.357726596913911, 0.445899708163642,      0.925377142856182, 0.441232897113797), PROX_CHAS = c(0.36937911638564,      0.242250716663617, 0.217974279370684, 0.134178633248207,      0.190941257524933, 0.0862664572880411, 0.21913048386411,      0.127424254451578, 0.236682264577822, 0.204909081807225,      0.232134688144963, 0.232134688144963, 0.235419924819913,      0.248119447519373, 0.240374554675797, 0.240374554675797,      0.263233285458842, 0.0764125853219005, 0.179557542480515,      0.177420148260447), PROX_SUPERMARKET = c(0.359694409353041,      0.157554225694085, 0.216455869736569, 0.344381560072065,      0.19229406714866, 0.0862669641327853, 0.21913043091083, 0.129189539659537,      0.236682533577294, 0.145410708854306, 0.232133828519976,      0.232133828519976, 0.23542039277371, 0.315469124538892, 0.322141005481158,      0.322141005481158, 0.263232243208913, 0.158655939798418,      0.223142170833011, 0.320748009942088), WITHIN_350M_KINDERGARTEN = c(2L,      2L, 1L, 3L, 3L, 1L, 2L, 0L, 2L, 1L, 2L, 2L, 2L, 1L, 0L, 0L,      2L, 1L, 2L, 0L), WITHIN_350M_CHILDCARE = c(7L, 6L, 9L, 3L,      10L, 8L, 4L, 6L, 7L, 3L, 5L, 5L, 7L, 2L, 2L, 2L, 6L, 5L,      3L, 5L), WITHIN_350M_BUS = c(12L, 10L, 10L, 8L, 10L, 8L,      7L, 13L, 10L, 7L, 11L, 11L, 10L, 6L, 5L, 5L, 15L, 8L, 11L,      11L), WITHIN_1KM_PRISCH = c(3L, 2L, 4L, 3L, 4L, 1L, 1L, 4L,      3L, 3L, 4L, 4L, 3L, 1L, 1L, 1L, 4L, 5L, 2L, 5L), DNeighbour = c(0,      207.802458816427, 305.120646023048, 312.131931527276, 398.55603161727,      513.27561638446, 551.48337805066, 618.398243601593, 621.12463225677,      653.393850081511, 655.453174171593, 656.29107783265, 658.329330222889,      673.919892406108, 703.644615718258, 704.566548058701, 742.462618467898,      752.304319083457, 807.581631729213, 874.729765677689)), row.names = c("780",      "629", "366", "459", "667", "879", "719", "771", "614", "189",      "942", "734", "360", "725", "737", "334", "769", "755", "485",      "292"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.890313677104649,      0.771457746108894, 0.761554028887068, 0.627895023281845,      0.42992540479727, 0.363028406135449, 0.250208752100467, 0.245809750012745,      0.195400259973796, 0.192298383897097, 0.19104061351934, 0.187991594995639,      0.165188901657902, 0.124551526781251, 0.123356773331519,      0.0781504939940071, 0.0677705601877471, 0.0217964140908017,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1140680089 
R squared (OOB):                  0.3429879 

$Forests[[781]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(438000, 432000, 431000,      425000, 450000, 420000, 430000, 425000, 395000, 445000, 450000,      456500, 358000, 441000, 436000, 440000, 435000, 420000, 435000,      432000), floor_area_sqm = c(94, 92, 92, 94, 94, 94, 92, 94,      94, 94, 93, 92, 93, 93, 92, 92, 95, 92, 92, 93), storey_order = c(5L,      6L, 7L, 5L, 7L, 7L, 6L, 6L, 4L, 6L, 9L, 8L, 1L, 6L, 7L, 8L,      6L, 5L, 2L, 5L), remaining_lease_mths = c(1076, 1137, 1138,      1083, 1119, 1120, 1126, 1119, 1113, 1109, 1136, 1144, 1103,      1097, 1139, 1142, 1105, 1132, 1128, 1138), PROX_CBD = c(11.9414743986494,      11.9317097346946, 11.9317097346946, 11.8751655684431, 12.0119641769274,      12.0119641769274, 12.0797672032522, 11.9828723130509, 11.9744040829633,      12.1122271384014, 12.1741021183779, 11.9527102757424, 11.8075546541859,      11.8078122246038, 12.042332185553, 12.042332185553, 11.6071858552171,      12.042332185553, 12.042332185553, 11.7767430748854), PROX_ELDERLYCARE = c(0.687500817542951,      0.680106913101551, 0.680106913101551, 0.727329111385366,      0.673044116243487, 0.673044116243487, 0.550577233037288,      0.710325725805382, 0.738781707341689, 0.629785153682861,      0.519600844901231, 0.819362766143575, 0.922118515238085,      0.95260617550949, 0.786890441142101, 0.786890441142101, 1.02315858897206,      0.786890441142101, 0.786890441142101, 0.813774711283767),          PROX_HAWKER = c(0.147098227142532, 0.161367564791002,          0.161367564791002, 0.145379780608352, 0.222580914455278,          0.222580914455278, 0.286867197183981, 0.20448046373977,          0.217370340361849, 0.337796349528525, 0.375471053349032,          0.27814297307049, 0.209140712961875, 0.262687630178652,          0.369655971945997, 0.369655971945997, 0.193888136950838,          0.369655971945997, 0.369655971945997, 0.340776861445006         ), PROX_MRT = c(0.183575431830776, 0.214149342621172,          0.214149342621172, 0.191731142133254, 0.201095784108649,          0.201095784108649, 0.285059794417971, 0.170867756883987,          0.167322140356011, 0.302747284955937, 0.338849049026276,          0.200702114351669, 0.120215557602138, 0.173777829752023,          0.298263347673859, 0.298263347673859, 0.216093917824789,          0.298263347673859, 0.298263347673859, 0.162476645519961         ), PROX_PARK = c(0.807374064658721, 0.785212145526225,          0.785212145526225, 0.723512884628395, 0.691047645736797,          0.691047645736797, 0.747342190235743, 0.697136724289492,          0.679906922269617, 0.576425078157325, 0.612679613149166,          0.643017670933737, 0.747098338531098, 0.746013140888617,          0.542226246468638, 0.542226246468638, 0.521580333579447,          0.542226246468638, 0.542226246468638, 0.615413214289157         ), PROX_GOOD_PRISCH = c(2.21615815400514, 2.20126444296921,          2.20126444296921, 2.14229157607785, 2.29976812492723,          2.29976812492723, 2.35145083667271, 2.27447890050516,          2.27223739349538, 2.408030235171, 2.45580221931744, 2.270018309959,          2.12338877581429, 2.13533890725473, 2.36724315061599,          2.36724315061599, 1.89230283405924, 2.36724315061599,          2.36724315061599, 2.03585243074848), PROX_MALL = c(0.22663965361209,          0.255684281538694, 0.255684281538694, 0.249449426365425,          0.251262654177611, 0.251262654177611, 0.356578632219481,          0.220402811054307, 0.214069216816763, 0.350899017798137,          0.416829357908565, 0.232344363503357, 0.119447773727589,          0.17025857997445, 0.332547569579886, 0.332547569579886,          0.173810560938293, 0.332547569579886, 0.332547569579886,          0.437539575450179), PROX_CHAS = c(0.156140837156126,          0.203726500797623, 0.203726500797623, 0.179410689617013,          0.131248018016709, 0.131248018016709, 0.146949814741425,          0.0995919009989899, 0.0939357367291076, 0.0703863092474096,          0.0461624602204791, 0.146038815472653, 0.11944771257822,          0.170258520163124, 0.236223262451169, 0.236223262451169,          0.173810611614792, 0.236223262451169, 0.236223262451169,          0.108183414657245), PROX_SUPERMARKET = c(0.236998053946951,          0.217804588957955, 0.217804588957955, 0.179159947933279,          0.261515416493987, 0.261515416493987, 0.315486318912089,          0.230351837454113, 0.22318738818849, 0.360308355053667,          0.427183407476201, 0.237998550380205, 0.119571834445138,          0.168966076328732, 0.33849828517841, 0.33849828517841,          0.1671684124578, 0.33849828517841, 0.33849828517841,          0.108294583955479), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 7L, 6L, 6L, 5L, 6L, 7L, 7L, 7L, 5L, 4L, 4L, 4L, 4L,          4L, 4L, 4L, 3L), WITHIN_350M_BUS = c(8L, 8L, 8L, 6L,          6L, 6L, 9L, 7L, 10L, 7L, 5L, 12L, 10L, 11L, 10L, 10L,          6L, 10L, 10L, 4L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 4L), DNeighbour = c(0, 54.4846091817222, 58.2025408846117,          105.893760934571, 126.280441138085, 127.977920802394,          141.87039103113, 142.049064950567, 173.435455029163,          239.563752609622, 244.771776587632, 266.322140564075,          274.549120918256, 330.151827596025, 332.65922146762,          333.03261947346, 333.479041948767, 334.302525016674,          335.570597887035, 347.756541439549)), row.names = c("781",      "392", "613", "250", "947", "167", "900", "203", "858", "607",      "621", "749", "724", "439", "573", "16", "922", "634", "908",      "325"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.951508705007921,      0.944762031880974, 0.823150525938767, 0.75366258216675, 0.747478801396589,      0.694838112848203, 0.694138966286621, 0.564409209726114,      0.276086654497692, 0.254602669701292, 0.170986814326231,      0.141911137978812, 0.00973864868817504, 0.00721518082106108,      0.00687022637529962, 0.00646841274296349, 0.00575766837992647,      0.00474104886527113, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       446169322 
R squared (OOB):                  0.03280422 

$Forests[[782]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 405000, 430000,      405000, 415000, 395000, 450000, 448000, 410000, 393000, 455000,      430000, 360000, 380000, 380000, 367000, 362500, 412000, 495000,      537000), floor_area_sqm = c(112, 105, 104, 104, 103, 106,      106, 116, 106, 103, 113, 107, 84, 106, 107, 104, 103, 104,      93, 93), storey_order = c(4L, 3L, 2L, 2L, 3L, 2L, 4L, 3L,      2L, 2L, 5L, 4L, 3L, 1L, 2L, 1L, 3L, 2L, 2L, 4L), remaining_lease_mths = c(866,      856, 861, 862, 834, 834, 834, 827, 871, 818, 824, 868, 811,      887, 871, 879, 819, 878, 1131, 1128), PROX_CBD = c(15.3605597168545,      15.3605597168545, 15.4019609662575, 15.4019609662575, 15.1256206124729,      15.1256206124729, 15.1256206124729, 15.1039483662242, 15.428944563277,      14.8805910833212, 14.8805910833212, 15.2985874116244, 14.7472020389823,      15.0291078847704, 15.2330821453909, 14.66420827852, 14.3801998083441,      14.1313829663274, 14.1234549986629, 14.1022978560303), PROX_ELDERLYCARE = c(1.7630974884403,      1.7630974884403, 1.7026350967472, 1.7026350967472, 1.5866097118695,      1.5866097118695, 1.5866097118695, 1.55233595008815, 1.63977306379889,      1.53481387371296, 1.53481387371296, 1.41400995500373, 1.19052284520552,      1.09928331705025, 1.22808745848404, 0.719957479461771, 0.709377020411434,      0.836104821253693, 1.35242241046818, 1.39999761805574), PROX_HAWKER = c(0.874437271649647,      0.874437271649647, 0.985391408166863, 0.985391408166863,      0.674198133913936, 0.674198133913936, 0.674198133913936,      0.672854909342646, 1.09717995764468, 0.395563323563994, 0.395563323563994,      1.16406043263713, 0.606039227085063, 1.15922930524208, 1.40985252978436,      1.17971772396452, 0.928921275219278, 0.73352935155883, 0.458626901673037,      0.488105393549706), PROX_MRT = c(1.13238128237287, 1.13238128237287,      1.24252861976923, 1.24252861976923, 0.930587839854138, 0.930587839854138,      0.930587839854138, 0.927742831261867, 1.35104476777798, 0.650195396152393,      0.650195396152393, 1.40304810962874, 0.807097621625513, 1.36685465541241,      1.62235809597188, 1.12495588646837, 1.02650412956774, 0.735653331318593,      0.250036690549804, 0.255700458734308), PROX_PARK = c(0.852232892319188,      0.852232892319188, 0.934356673366442, 0.934356673366442,      0.625625874274951, 0.625625874274951, 0.625625874274951,      0.613453702116727, 1.02148060415503, 0.355836862982211, 0.355836862982211,      0.98341166564854, 0.432698189125414, 0.808345234949979, 0.633472210001671,      0.823954351824118, 0.71485218383349, 0.463826523913091, 0.469588575534173,      0.52092144022497), PROX_GOOD_PRISCH = c(3.77322944876988,      3.77322944876988, 3.78947597459801, 3.78947597459801, 3.54140201350838,      3.54140201350838, 3.54140201350838, 3.51513652285447, 3.79601078940401,      3.33079371618761, 3.33079371618761, 3.64472604970499, 3.13467644284063,      3.36640767040689, 3.56691345353299, 2.99834463762659, 2.72778429145315,      2.52734391167264, 2.69456588548322, 2.69832814229385), PROX_MALL = c(0.502295694435402,      0.502295694435402, 0.656741946143406, 0.656741946143406,      0.445444903624544, 0.445444903624544, 0.445444903624544,      0.472438990852491, 0.809004632748584, 0.390496575840073,      0.390496575840073, 0.597111778941966, 0.738705771798207,      0.486526360127578, 0.253259472709144, 0.669111824361406,      0.949257633150117, 0.66282583229379, 0.232476208076891, 0.257523814996123     ), PROX_CHAS = c(0.563239471741591, 0.563239471741591, 0.478794864158343,      0.478794864158343, 0.387886097439527, 0.387886097439527,      0.387886097439527, 0.353464796953762, 0.352996738297868,      0.448788349522024, 0.448788349522024, 0.0911939042613644,      0.19051372613691, 0.228652490110126, 0.210576528602503, 0.38494516455544,      0.453083161817035, 0.528800676490504, 0.147334233235439,      0.177701329016163), PROX_SUPERMARKET = c(0.187279197917694,      0.187279197917694, 0.1489144838969, 0.1489144838969, 0.411626017932148,      0.411626017932148, 0.411626017932148, 0.429218479578941,      0.252078878715955, 0.447693008221967, 0.447693008221967,      0.408284988301129, 0.326764101800336, 0.234691730121176,      0.21397076195142, 0.384052647553184, 0.513065398645433, 0.528799775767506,      0.147334782275979, 0.177702101069216), WITHIN_350M_KINDERGARTEN = c(0L,      0L, 0L, 0L, 2L, 2L, 2L, 2L, 0L, 2L, 2L, 2L, 3L, 2L, 3L, 1L,      0L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L,      2L, 2L, 2L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 3L, 4L,      4L), WITHIN_350M_BUS = c(10L, 10L, 9L, 9L, 6L, 6L, 6L, 7L,      11L, 5L, 5L, 13L, 9L, 8L, 12L, 7L, 2L, 6L, 13L, 11L), WITHIN_1KM_PRISCH = c(2L,      2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L,      3L, 2L, 1L, 1L), DNeighbour = c(0, 4.93762055515319, 155.445283164293,      158.374660522972, 229.171175715909, 229.484249487106, 238.621295568549,      261.042141393429, 313.624924628938, 495.891261930319, 503.627030179333,      534.989654792765, 643.060014518584, 770.734206258361, 886.473961703767,      1067.08246570721, 1116.63330319988, 1243.87874902504, 1312.63715545217,      1346.69799001974)), row.names = c("782", "994", "495", "406",      "233", "483", "457", "188", "899", "639", "852", "934", "136",      "314", "428", "686", "3", "695", "212", "815"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999973114254866, 0.973530736828914, 0.972530716806395,      0.942921141563578, 0.942767381775359, 0.938193197035364,      0.926264905926492, 0.894471182105927, 0.747202042831734,      0.73984962004448, 0.709274310536883, 0.595961512999023, 0.452197887665875,      0.321145662229896, 0.138496004660753, 0.0976483088084971,      0.0215705323202822, 0.00249445611958286, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1961801528 
R squared (OOB):                  -0.001894743 

$Forests[[783]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 420000, 468000,      455000, 323000, 390000, 460000, 458888, 450000, 460000, 422000,      430000, 382000, 440000, 426888, 380000, 475000, 510000, 485000,      403500), floor_area_sqm = c(92, 92, 92, 92, 90, 90, 92, 92,      92, 92, 92, 92, 86, 92, 92, 90, 92, 92, 95, 90), storey_order = c(4L,      2L, 4L, 4L, 1L, 5L, 3L, 4L, 3L, 5L, 2L, 1L, 2L, 2L, 1L, 4L,      2L, 5L, 5L, 5L), remaining_lease_mths = c(988, 1139, 1124,      1136, 983, 978, 1137, 1130, 1136, 1136, 1132, 1134, 989,      1136, 1141, 973, 1126, 1133, 1141, 965), PROX_CBD = c(12.1902934701837,      12.4951121122816, 12.5372560863306, 12.5530445309639, 12.0200214112876,      12.4059518996545, 12.6444338023734, 12.6444338023734, 12.6444338023734,      12.5778468618744, 12.6523002899419, 12.5852639843962, 12.3082954752684,      12.6445046545469, 12.5841594105866, 11.9491294576901, 12.6532888174316,      12.8180148044036, 12.8190940082697, 12.0682850666201), PROX_ELDERLYCARE = c(0.362754738306624,      0.0780281999502717, 0.066903342124331, 4.52036057904239e-07,      0.618171206910468, 0.404564014080405, 0.0933099122535032,      0.0933099122535032, 0.0933099122535032, 0.25879478544564,      0.17445131765005, 0.3637938018331, 0.583230122785789, 0.316798451576888,      0.419823195233641, 0.351349913726565, 0.373604611296459,      0.265081039187363, 0.268492105828742, 0.36227142211874),          PROX_HAWKER = c(0.536726116414185, 0.227760265989261,          0.184899994018696, 0.183834631869038, 0.743318510800665,          0.551023632791116, 0.0943584031018698, 0.0943584031018698,          0.0943584031018698, 0.361759384229333, 0.228019105088385,          0.45815519033126, 0.732610931237137, 0.385855619963418,          0.512822421809829, 0.693645859237657, 0.440383933038266,          0.116173376637396, 0.146347761938812, 0.732401821736703         ), PROX_MRT = c(0.364194860258715, 0.288636635543175,          0.250680884626282, 0.225183269009929, 0.291532437270123,          0.467412150427879, 0.135663244459145, 0.135663244459145,          0.135663244459145, 0.325317058740364, 0.189124878414716,          0.305105021876954, 0.348338435446781, 0.290856617513635,          0.285300897266269, 0.207404211118571, 0.24828698655044,          0.0414043955932523, 0.0524349257152741, 0.353072027979069         ), PROX_PARK = c(0.883674706708426, 0.64692671777276,          0.614568616662392, 0.665189387379371, 0.871053837980522,          1.06942514246801, 0.61385987529272, 0.61385987529272,          0.61385987529272, 0.898636927133822, 0.76865606278053,          0.998305920751222, 1.248380402738, 0.927332929158558,          1.05356492524152, 1.42337349535551, 0.981635622560504,          0.594833919624026, 0.639036828502152, 1.2554933111164         ), PROX_GOOD_PRISCH = c(2.54749739008747, 2.83249303987555,          2.87119716545371, 2.90013878468328, 2.31713852475231,          2.85954585658161, 2.98554640042679, 2.98554640042679,          2.98554640042679, 2.98751376551561, 3.02962689364369,          3.02473222579279, 2.82059786507503, 3.06407026512831,          3.04090040576321, 2.48771655129493, 3.08870420529617,          3.15789060893291, 3.16783392704602, 2.66094910730305),          PROX_MALL = c(0.835543217968543, 0.848059510883206, 0.863947607104433,          0.801147315442336, 0.859289251142989, 0.423524868376446,          0.835997866672575, 0.835997866672575, 0.835997866672575,          0.550769417999913, 0.680457081346124, 0.450387082903272,          0.312386349772529, 0.525247230278188, 0.39575302739997,          0.591401580344059, 0.475487624694748, 0.881741038155881,          0.842111664425906, 0.424043071559413), PROX_CHAS = c(0.167384851183216,          3.19858778746232e-08, 0.0439945201117045, 0.0780281620295796,          0.310908028614088, 0.187639553192951, 0.102096070463208,          0.102096070463208, 0.102096070463208, 0.236995708134403,          0.162820120107843, 0.324614821605945, 0.200650927390068,          0.312339613016365, 0.369996201265779, 0.136369833447508,          0.362882313204726, 0.0772642002388838, 0.0812086980787344,          0.0850792531740411), PROX_SUPERMARKET = c(0.552359009160243,          0.255060837787685, 0.218453608018692, 0.189775839444753,          0.507879796624066, 0.375814638453933, 0.102095775430648,          0.102095775430648, 0.102095775430648, 0.299832635957983,          0.162819600148508, 0.389269910824952, 0.200651971059786,          0.312339147167174, 0.385003628727568, 0.234851160706955,          0.36465940083402, 0.0772646744727167, 0.0812089624400091,          0.0850782630125017), WITHIN_350M_KINDERGARTEN = c(2L,          3L, 1L, 1L, 2L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L,          0L, 1L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 5L,          6L, 7L, 1L, 4L, 7L, 7L, 7L, 5L, 6L, 4L, 4L, 5L, 4L, 6L,          5L, 6L, 7L, 5L), WITHIN_350M_BUS = c(12L, 10L, 10L, 11L,          6L, 10L, 10L, 10L, 10L, 8L, 11L, 11L, 8L, 11L, 10L, 12L,          11L, 9L, 9L, 12L), WITHIN_1KM_PRISCH = c(3L, 4L, 4L,          4L, 4L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 4L, 5L, 7L, 4L,          3L, 4L, 7L), DNeighbour = c(0, 308.527980734271, 352.487664842099,          355.345577947258, 356.487189499886, 422.911486652465,          449.591115861736, 449.842484637531, 452.275374976897,          455.795780189744, 478.659335803466, 524.686543649496,          529.777655134902, 540.930269542818, 564.001050234149,          566.442910635834, 583.996349440915, 623.439353291538,          629.107130135307, 677.533708025808)), row.names = c("783",      "791", "672", "764", "909", "138", "92", "807", "166", "355",      "311", "180", "231", "144", "868", "175", "759", "115", "44",      "860"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.628276416590501,      0.53193505708075, 0.525526452883676, 0.522962965309877, 0.372568227141018,      0.313235782876462, 0.312684730128525, 0.307360623738867,      0.299687563111859, 0.250896568171245, 0.160235678756315,      0.151009931856883, 0.13146950395016, 0.0942835112906391,      0.0906268690801256, 0.0660757013556595, 0.0235026520140335,      0.0190001219792799, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       992385940 
R squared (OOB):                  0.4643505 

$Forests[[784]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(740000, 790000, 685000,      520000, 518000, 710000, 390000, 380000, 580000, 705000, 708000,      430000, 416000, 545000, 575000, 680000, 550000, 715000, 662000,      675000), floor_area_sqm = c(95, 95, 102, 101, 93, 101, 84,      89, 90, 90, 90, 92, 91, 101, 101, 95, 102, 95, 95, 95), storey_order = c(4L,      6L, 4L, 1L, 4L, 2L, 1L, 5L, 5L, 7L, 5L, 2L, 4L, 1L, 6L, 4L,      3L, 6L, 3L, 2L), remaining_lease_mths = c(954, 946, 929,      929, 736, 933, 783, 653, 1035, 1041, 1031, 687, 713, 938,      932, 1084, 761, 1099, 1093, 1093), PROX_CBD = c(4.09909964212454,      4.0690703028165, 4.15915934561343, 4.23995407977096, 4.29040868967057,      4.27954241101507, 4.91139217141794, 4.19301197437796, 3.73787601157873,      3.66612298934168, 3.56091441303422, 5.17330173892321, 5.10609859014938,      3.59494173601466, 5.56255806753875, 6.04001281876484, 6.04257091454572,      6.06656257116635, 6.11286474740545, 6.15852201326599), PROX_ELDERLYCARE = c(1.44919747885979,      1.5676876481467, 1.31127122179184, 1.29004325258708, 1.28169673214061,      1.2084977158608, 0.53976690699019, 1.05465194719342, 0.836612932336762,      0.851600940224316, 0.885388735780595, 0.151830290872251,      0.320090253923576, 0.692364880740494, 0.0599829320550621,      0.545921172841312, 0.548656319889636, 0.516985202466339,      0.471592353212743, 0.428116600598184), PROX_HAWKER = c(0.17841116959893,      0.124697776657811, 0.296724849746491, 0.242979724501726,      0.224814451985556, 0.32780610994166, 0.526793317066312, 0.297392426102438,      0.15676751515481, 0.157376553669701, 0.210501859943959, 0.261285820740611,      0.333568708255903, 0.142789347249218, 0.248163252655802,      0.0606577495598573, 0.19523132016882, 0.0900485470251793,      0.0855319563513606, 0.104458461300263), PROX_MRT = c(0.212082976996148,      0.103251860461982, 0.361454140857751, 0.369514902074349,      0.386818680985449, 0.45128979061194, 0.348715950460643, 0.670866804568908,      0.349678715281184, 0.281331556481731, 0.1853881461208, 0.568944969773001,      0.549226257235714, 0.346622733589529, 0.389634730949481,      0.53617676606472, 0.448203274012385, 0.530436532640755, 0.576684647572531,      0.567634817298681), PROX_PARK = c(0.271559050503854, 0.13380185088312,      0.424082148410156, 0.410157320226128, 0.41256712340984, 0.496161896442625,      0.454973393404149, 1.34668044149268, 1.14436990313984, 1.07330463343821,      0.969171323132551, 0.375618223612072, 0.534309547143458,      1.03638785093261, 0.136342453682232, 0.524571131123829, 0.651264615899835,      0.548254609843109, 0.517760851715104, 0.487498062645995),          PROX_GOOD_PRISCH = c(3.22696055518642, 3.17062142916436,          3.27316539077024, 3.17375518133788, 3.11124078456354,          3.1984009939005, 3.07957394860643, 4.04417128338034,          4.42346384619917, 4.46068770698473, 4.51522724145722,          3.5160560831601, 3.68539306501406, 4.68517728936996,          3.30515733544794, 2.00925132829891, 2.14268529299874,          2.03651743937875, 2.00772186702724, 1.97696478280336),          PROX_MALL = c(0.944512912155433, 0.898524741072254, 1.03381347643634,          1.09860538958518, 1.14104925826379, 1.15459749844864,          0.779372162435287, 1.51326780463499, 1.03774509228272,          0.971442928620489, 0.87678025015548, 0.96360119165526,          1.13513631747826, 0.814872047472938, 0.719385659919303,          0.387042201482337, 0.264532440460292, 0.365617038961166,          0.403935094648282, 0.446404896609829), PROX_CHAS = c(0.199996678091121,          0.162166521351491, 0.22718451096924, 0.128246501394164,          0.0683025043642396, 0.151798893835737, 0.297280152993809,          0.212246176955017, 0.0809467071188201, 0.108213750221125,          0.0998361253719761, 0.213267381067323, 0.37199840586913,          0.0573592222158038, 0.174009235365936, 0.134421273847083,          0.12619956254809, 0.0929349198733403, 0.0679258481743644,          0.0766942583569258), PROX_SUPERMARKET = c(0.232527384837024,          0.209119590970966, 0.31622643534726, 0.23908756643158,          0.200251285306447, 0.314587216673928, 0.212061147632098,          0.306178228663922, 0.184584314799668, 0.131005301990959,          0.103744685928207, 0.266791583668656, 0.424647979009491,          0.0573596645426592, 0.173881454941229, 0.0393286469640316,          0.178930757423705, 0.0785030623714358, 0.0895469396191502,          0.11965836137487), WITHIN_350M_KINDERGARTEN = c(5L, 4L,          4L, 4L, 3L, 3L, 1L, 0L, 1L, 1L, 1L, 2L, 0L, 1L, 1L, 1L,          0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(9L, 8L, 10L,          4L, 2L, 2L, 2L, 1L, 3L, 3L, 3L, 4L, 4L, 3L, 4L, 4L, 4L,          3L, 3L, 3L), WITHIN_350M_BUS = c(8L, 5L, 4L, 4L, 4L,          2L, 7L, 5L, 7L, 7L, 9L, 4L, 4L, 4L, 2L, 8L, 7L, 8L, 6L,          6L), WITHIN_1KM_PRISCH = c(1L, 1L, 2L, 2L, 2L, 2L, 2L,          1L, 0L, 0L, 0L, 3L, 3L, 0L, 3L, 1L, 1L, 1L, 1L, 2L),          DNeighbour = c(0, 142.281319480871, 146.916143372115,          159.466410187749, 201.373426569056, 240.926925850905,          949.52838422758, 1106.67126764404, 1292.81139211713,          1305.74545321783, 1336.08815261343, 1473.86235106313,          1525.14914640073, 1525.84148578865, 1736.50554272828,          1939.93048481347, 1947.92832532019, 1971.62503686212,          2007.99978230785, 2061.52832772126)), row.names = c("784",      "575", "763", "145", "286", "767", "251", "993", "823", "903",      "881", "270", "853", "997", "596", "930", "453", "297", "536",      "23"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.990495887751341,      0.989868210171387, 0.988068678292557, 0.981007646275761,      0.97287023348271, 0.620712045752807, 0.506692607319505, 0.368120294194088,      0.358586325362949, 0.3363525218198, 0.238989429708261, 0.204913819825975,      0.204464083020259, 0.0843700009301235, 0.0131078425532746,      0.0114860446136186, 0.00727919618391881, 0.00262725218506206,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12206288798 
R squared (OOB):                  0.2313018 

$Forests[[785]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(309000, 345000, 348000,      445000, 323000, 330000, 338000, 360000, 361000, 333000, 328000,      4e+05, 335000, 325000, 480000, 388000, 385000, 360000, 325000,      350880), floor_area_sqm = c(91, 91, 93, 100, 92, 84, 93,      103, 84, 84, 84, 103, 84, 85, 104, 104, 104, 104, 84, 91),          storey_order = c(2L, 3L, 4L, 3L, 2L, 3L, 5L, 1L, 4L,          3L, 4L, 3L, 2L, 1L, 2L, 3L, 4L, 2L, 5L, 2L), remaining_lease_mths = c(774,          773, 777, 949, 690, 791, 860, 798, 794, 823, 806, 796,          796, 830, 777, 751, 740, 804, 812, 785), PROX_CBD = c(9.64616581570663,          9.63489497584329, 9.5834162789491, 9.38671442358298,          9.445702961959, 9.73525531751342, 9.71808261065178, 10.1540744969693,          10.1908965186918, 9.85122377146013, 10.2439629519707,          10.2571858212528, 10.2571858212528, 10.1989356004427,          8.81196120759187, 10.2659136784881, 10.2659136784881,          10.0879656312395, 9.87023127008802, 10.3813809316332),          PROX_ELDERLYCARE = c(0.306199433665808, 0.42629854090558,          0.221128007339761, 0.197320443098403, 0.0646727834979237,          0.869795033999967, 0.288600487645686, 0.85844301108046,          0.891997547710976, 0.999223533815273, 0.904720646157319,          0.969336561855173, 0.969336561855173, 1.08623091115154,          0.68560621126507, 0.737818764037149, 0.737818764037149,          1.31022889057949, 1.35138892750767, 0.833489789321986         ), PROX_HAWKER = c(0.906506968115566, 0.908741650371918,          0.844035637065003, 0.671765492644128, 0.802499530175562,          0.687117415591119, 1.10941781168001, 0.614574465644474,          0.594526114354717, 0.526313717816828, 0.616195579705155,          0.543600998034675, 0.543600998034675, 0.368744432216956,          0.290355020850324, 1.65941342147148, 1.65941342147148,          0.196699811405185, 0.410023469086153, 1.5910354083573         ), PROX_MRT = c(0.626377719466395, 0.669484450879797,          0.679762822214213, 0.671695564859285, 0.834535111428891,          0.86810604264512, 0.750225097750018, 0.544743966599557,          0.554399001312584, 0.907717901248049, 0.52596302633555,          0.5984056038899, 0.5984056038899, 0.78040997284139, 0.425157896719621,          0.684374477874155, 0.684374477874155, 1.09046737609619,          1.23646610314009, 0.699917284291438), PROX_PARK = c(0.106198450905693,          0.197084482081202, 0.171128410914521, 0.409638708762546,          0.508498628446561, 0.452373350223662, 0.552878075981585,          0.578916018382343, 0.61263038213259, 0.510337594738446,          0.626908579085899, 0.690393008756984, 0.690393008756984,          0.808282577864154, 0.468007817587664, 0.570788416471153,          0.570788416471153, 0.604882226694947, 0.375073916060521,          0.616002692100522), PROX_GOOD_PRISCH = c(1.71137279935344,          1.59153495480405, 1.81796659730331, 1.96445822173508,          2.16640973416033, 1.15234422615158, 2.3197363622043,          1.40445923276907, 1.40421671412888, 1.05242409875061,          1.44855804010835, 1.38840710840139, 1.38840710840139,          1.199846441039, 2.18636815139252, 2.58742850928016, 2.58742850928016,          0.87937610392538, 0.706117631385061, 2.6286340652406),          PROX_MALL = c(0.808294932987377, 0.873569112263515, 0.812301361871699,          0.704978058880463, 0.855253012280219, 0.907839978504126,          0.64580888250568, 0.685950169481642, 0.685823836221668,          0.756051767526383, 0.644656189163291, 0.638527944164543,          0.638527944164543, 0.663851500718272, 0.389401354829447,          0.364765391124967, 0.364765391124967, 0.441232897113797,          0.445899708163642, 0.365493224544838), PROX_CHAS = c(0.415210445937219,          0.454068185577158, 0.334146331647452, 0.181909444046462,          0.378465676389041, 0.116614388177292, 0.122290728478786,          0.170954716034814, 0.151788880767358, 3.39583191183935e-08,          0.155315138624813, 0.0819899420632749, 0.0819899420632749,          0.0710453772718398, 0.210741683871549, 0.204257711541377,          0.204257711541377, 0.177420148260447, 0.0764125853219005,          0.28517644723447), PROX_SUPERMARKET = c(0.675617328849562,          0.717910522287554, 0.581458245406798, 0.448356351676465,          0.234896025437738, 0.458729641056945, 0.190117050177684,          0.171715993026927, 0.152401712794372, 0.350225948243757,          0.18505229065347, 0.123486578338512, 0.123486578338512,          0.00115080458448496, 0.365648379234028, 0.384238743245603,          0.384238743245603, 0.320748009942088, 0.158655939798418,          0.49431722643315), WITHIN_350M_KINDERGARTEN = c(1L, 0L,          1L, 2L, 3L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 1L,          1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L, 3L,          3L, 3L, 2L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 4L, 3L, 6L, 6L,          5L, 5L, 6L), WITHIN_350M_BUS = c(8L, 5L, 7L, 9L, 10L,          10L, 6L, 14L, 12L, 10L, 10L, 10L, 10L, 12L, 7L, 8L, 8L,          11L, 8L, 10L), WITHIN_1KM_PRISCH = c(4L, 3L, 4L, 2L,          2L, 4L, 2L, 5L, 6L, 4L, 6L, 5L, 5L, 4L, 1L, 2L, 2L, 5L,          5L, 2L), DNeighbour = c(0, 116.833243026633, 128.983995719569,          365.410198228282, 499.539165284206, 565.837698497223,          615.483181054544, 649.340088396424, 683.970703425545,          704.70809072243, 716.04863590053, 764.534449153266, 767.697688575124,          846.533345961928, 905.776342599882, 993.276300204312,          995.418998813026, 1030.0963969878, 1046.10235463259,          1076.72038630021)), row.names = c("785", "273", "799",      "373", "67", "921", "624", "560", "447", "129", "668", "494",      "591", "967", "465", "77", "501", "292", "755", "626"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.976590468446207, 0.971505018387075, 0.782916578258432,      0.615840298091576, 0.52392859350778, 0.45325450853888, 0.404882743002637,      0.355783886708046, 0.326768079458553, 0.311072192317781,      0.245834442026922, 0.241706179868694, 0.145822037452671,      0.0854517893346292, 0.0221982471194166, 0.0211165080234995,      0.00717894549580927, 0.00314318725530595, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1551675206 
R squared (OOB):                  0.1629415 

$Forests[[786]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(295000, 285000, 3e+05,      290000, 292000, 330000, 345000, 365000, 355000, 585000, 485000,      445000, 455000, 460000, 370000, 450000, 415000, 343000, 410000,      426000), floor_area_sqm = c(106, 92, 99, 92, 104, 103, 114,      104, 106, 91, 93, 93, 99, 93, 90, 93, 104, 102, 92, 92),          storey_order = c(1L, 1L, 1L, 4L, 2L, 2L, 2L, 2L, 1L,          10L, 10L, 7L, 2L, 7L, 3L, 4L, 2L, 5L, 2L, 6L), remaining_lease_mths = c(825,          697, 697, 690, 828, 937, 839, 828, 825, 995, 1112, 1117,          951, 1135, 977, 1131, 875, 935, 1004, 1012), PROX_CBD = c(14.7220636963442,          14.6519123293037, 14.8036441916204, 14.8961777358487,          15.1374510187917, 14.5165027597446, 15.4582319270764,          15.6198573118901, 15.6983328737326, 14.2059144167977,          14.8542518275748, 14.9897790388493, 14.3012013074868,          15.0332592042754, 14.489397367385, 15.1194109037639,          15.8781143296649, 15.6558233565228, 14.000256381606,          14.0324943086614), PROX_ELDERLYCARE = c(0.327768156942021,          0.254409923718011, 0.0965145667339982, 0.090689252710872,          0.426629771798313, 0.389463724969334, 0.319622441582349,          0.497975502399054, 0.587171684565488, 0.923774065318005,          0.671766786446111, 0.622451014094897, 0.93663965535868,          0.653175957864657, 0.929205058584809, 0.632846087105322,          0.633288957745621, 0.268146833149962, 1.50178268661881,          1.51384309451853), PROX_HAWKER = c(1.39864823048803,          1.21550185558774, 1.07372228066705, 1.02395142210687,          1.49196951764411, 1.0617726338971, 1.7245004017694, 1.6566914426712,          1.64071314431986, 0.829910539202106, 0.3485650804915,          0.366862032582334, 0.693090021451824, 0.344843972730765,          0.478869651742105, 0.399490681633122, 1.79301822351461,          2.27183532495414, 1.77005964815816, 1.73133481154049),          PROX_MRT = c(0.0523025726452692, 0.218405848235923, 0.363746184676816,          0.437229774651496, 0.164193456307044, 0.0901878473788138,          0.233994550027949, 0.297714051615291, 0.341199960643831,          0.127617925270923, 0.41695674877223, 0.550628186781769,          0.189883903502813, 0.587916938270161, 0.0437298005890327,          0.674936552563307, 0.159697283923578, 0.370313443989706,          0.865600228728207, 0.85175230125279), PROX_PARK = c(0.432331111477529,          0.325486875199719, 0.497172938499345, 0.600185611341118,          0.786093050092807, 0.278686390612803, 0.998254167239372,          0.782164021798725, 0.686441032296595, 0.716522496183652,          1.00246315577637, 0.886983007034967, 0.812876767906526,          0.858154923175006, 0.935596264101672, 0.773048101136696,          0.678969217742802, 1.16446299803307, 0.652876507033438,          0.65310707550057), PROX_GOOD_PRISCH = c(4.99661753747661,          4.99149337529414, 5.17691715074399, 5.28070608730985,          5.37568176340172, 4.93093863547281, 5.64801716169655,          5.84268664292306, 5.93514971647738, 4.85056771881294,          5.49301939379528, 5.61521578968116, 4.98177209241419,          5.67093979106873, 5.1963266927986, 5.74516136190441,          6.09357654169244, 5.73062396037349, 4.05408625233137,          4.07805978762992), PROX_MALL = c(0.343882807046916, 0.377416550632833,          0.278400001713995, 0.252669380741675, 0.249545786638779,          0.38830118917563, 0.455554164929496, 0.394873468760787,          0.310729806849059, 0.148456555084967, 0.497662931100388,          0.615054651957031, 0.236735170365795, 0.671424081833306,          0.345992784345898, 0.744876648240093, 0.145699923430919,          0.155488337640192, 1.30130189944441, 1.34360210764349         ), PROX_CHAS = c(0.141205029857343, 0.0736014920224838,          0.190291087196022, 0.252669404800451, 0.193150290660334,          0.0918929757518676, 0.158017550603297, 0.28481487293308,          0.261893114523038, 0.148456588323488, 0.139715392485403,          0.101756162724623, 0.214782230853987, 0.0438337826764906,          3.77135010377852e-08, 0.0812821875339188, 0.0723222156351423,          0.155488306171375, 0.313291309929199, 0.288579392766018         ), PROX_SUPERMARKET = c(0.141204847242777, 0.128878263549785,          0.190291125096353, 0.186322037460738, 0.200567401454574,          0.354026220875794, 0.387973705585917, 0.407244625741832,          0.322774913149109, 0.154204342539502, 0.118312809115248,          0.215874380558773, 0.172194506074768, 0.238848984717478,          0.31785895032531, 0.325050502595441, 0.157892159590583,          0.152010752053411, 0.313291309930196, 0.288579392767071         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 0L, 1L,          1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 2L, 0L, 0L, 4L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 5L, 5L,          8L, 3L, 4L, 7L, 3L, 3L, 6L, 3L, 5L, 3L, 3L, 8L, 1L, 1L         ), WITHIN_350M_BUS = c(8L, 9L, 9L, 7L, 11L, 7L, 14L,          9L, 8L, 17L, 11L, 11L, 15L, 10L, 13L, 12L, 7L, 14L, 3L,          4L), WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 3L, 2L, 2L, 3L,          3L, 3L, 3L, 4L, 3L, 3L, 3L, 5L, 3L, 3L, 3L, 2L, 2L),          DNeighbour = c(0, 204.324443205654, 326.76827143755,          407.393055539252, 418.76293971991, 434.159316029194,          763.781778355813, 896.557889728005, 974.142805522063,          1027.93211009525, 1047.60775327664, 1078.56529434847,          1080.78469148097, 1124.57433036972, 1132.73758066869,          1143.64020739632, 1153.90685407414, 1164.58193128616,          1178.35502119703, 1190.09055465639)), row.names = c("786",      "986", "995", "87", "387", "592", "383", "304", "196", "146",      "159", "500", "717", "865", "374", "299", "510", "450", "726",      "675"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.941915242641958,      0.854901725552928, 0.779364609909147, 0.767698554989426,      0.751536769939609, 0.345876360165681, 0.187021447196985,      0.1088893747619, 0.0644898052879305, 0.0506766530474747,      0.031912710767824, 0.0307152062158567, 0.011464468751068,      0.00884761075170969, 0.00585813530796263, 0.00358608172773757,      0.00179851899105651, 0.000385134529869353, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6546791200 
R squared (OOB):                  -0.01567812 

$Forests[[787]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 330000, 345000,      320000, 324000, 320000, 350000, 364000, 295000, 333000, 310000,      339000, 338000, 315000, 315000, 330000, 378000, 305000, 375000,      394000), floor_area_sqm = c(102, 102, 102, 101, 90, 100,      102, 100, 101, 100, 91, 102, 102, 103, 102, 103, 92, 99,      92, 92), storey_order = c(2L, 1L, 4L, 1L, 4L, 4L, 4L, 2L,      1L, 4L, 4L, 3L, 4L, 2L, 2L, 1L, 3L, 1L, 2L, 5L), remaining_lease_mths = c(927,      911, 926, 924, 929, 930, 923, 921, 917, 928, 927, 923, 922,      926, 913, 928, 1133, 921, 1135, 1142), PROX_CBD = c(18.2868848905217,      18.2320763538069, 18.236688278315, 18.0902268845521, 18.3448727328387,      18.242108360018, 18.0569924715364, 17.9386403893839, 18.4986491838169,      18.2095446148373, 18.6571260927441, 17.9456645257603, 18.1611534549189,      18.5458637520931, 17.9994058772431, 18.5768909080638, 18.5541585191533,      17.9733391318796, 18.5586196198757, 18.5586196198757), PROX_ELDERLYCARE = c(0.896456720381782,      0.927534095024191, 0.732088251039709, 0.706169610995159,      1.12000720290482, 1.08331104464233, 0.59750504274373, 0.714833653499633,      0.86418951980865, 1.17430183890643, 1.27166470727688, 0.476454782767532,      0.519233937445895, 0.890661700747245, 0.430537495183344,      0.912532633143698, 1.3934670212363, 0.376016337241346, 1.41981179339616,      1.41981179339616), PROX_HAWKER = c(0.547085889030319, 0.493410913505403,      0.537987121264097, 0.370412154176866, 0.636376603494217,      0.548257960059823, 0.391180253405874, 0.201936965562497,      0.838043969781633, 0.579651089601917, 0.924657565926692,      0.3648710200987, 0.617364695979906, 0.898999046399804, 0.472244893923117,      0.935860141611343, 0.899006211509986, 0.501520555884575,      0.915906485722884, 0.915906485722884), PROX_MRT = c(0.495991449430539,      0.433316978327494, 0.511061821383635, 0.341202563029131,      0.565211037998289, 0.47401652613315, 0.384524332485438, 0.168914117564514,      0.812751343363136, 0.501132314022455, 0.861078471223358,      0.385567417899789, 0.623413162025338, 0.87509641959225, 0.492638498779759,      0.912233851204259, 0.823747240068891, 0.52882455357406, 0.839968978875504,      0.839968978875504), PROX_PARK = c(1.86697967968657, 1.96114614265628,      1.7164330470264, 1.8531048262974, 2.08056453235766, 2.12857307310705,      1.77011013021076, 1.99379565561889, 1.49181484955502, 2.25371860749481,      1.95136051888807, 1.76180373116006, 1.52418818882418, 1.4387346144793,      1.65421298847909, 1.41172869826724, 2.22642888666982, 1.62685700377268,      2.25577949184332, 2.25577949184332), PROX_GOOD_PRISCH = c(8.78822500750919,      8.72297519828522, 8.76378557853615, 8.60631027953587, 8.81498363377987,      8.71021480286832, 8.58956131155308, 8.4444135457925, 9.04519470993137,      8.6635222339794, 9.13456945987866, 8.49089982759618, 8.72758527833631,      9.09837600782165, 8.5589292690065, 9.13217936844248, 9.00155567304774,      8.54142359534323, 9.00274768401056, 9.00274768401056), PROX_MALL = c(0.1450338527091,      0.22704735136933, 0.240339889961931, 0.342860958869265, 0.284195187673565,      0.347669457974494, 0.407254736414821, 0.238372860218233,      0.305101649121832, 0.468966497593582, 0.300602441432182,      0.428159644756295, 0.475604736810637, 0.359721010486642,      0.446560923090423, 0.390092702495136, 0.475387173022169,      0.395841490391381, 0.5054917244252, 0.5054917244252), PROX_CHAS = c(0.0217240252323136,      0.11607611654581, 0.184864523484869, 0.209799590563819, 0.24769320941352,      0.274735402884708, 0.222103720735081, 0.076984763134016,      0.305101651313883, 0.3998394205418, 0.214120710257936, 0.218909691095897,      0.405258493214775, 0.359721009550721, 0.324811070171065,      0.390092699752756, 0.0809306171135589, 0.364030465322827,      0.101888085354885, 0.101888085354885), PROX_SUPERMARKET = c(0.145032957963293,      0.227046556279957, 0.240339157209448, 0.342860053820009,      0.284194910851331, 0.347668959247477, 0.385535197909366,      0.171190500184261, 0.305101855713295, 0.402574253870019,      0.214121714630789, 0.365864675212809, 0.475604214408431,      0.359721304530864, 0.408691343873882, 0.390093045846372,      0.080929224247632, 0.356071330024396, 0.101886801165025,      0.101886801165025), WITHIN_350M_KINDERGARTEN = c(2L, 2L,      2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 0L, 1L, 2L, 1L, 2L, 1L, 0L,      1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(7L, 5L, 6L, 6L, 5L,      3L, 4L, 6L, 6L, 2L, 3L, 3L, 5L, 5L, 4L, 5L, 3L, 3L, 3L, 3L     ), WITHIN_350M_BUS = c(9L, 10L, 7L, 7L, 8L, 7L, 9L, 8L, 9L,      8L, 8L, 8L, 10L, 9L, 9L, 9L, 8L, 11L, 5L, 5L), WITHIN_1KM_PRISCH = c(4L,      4L, 6L, 5L, 4L, 4L, 6L, 5L, 4L, 4L, 3L, 6L, 6L, 4L, 7L, 4L,      4L, 7L, 4L, 4L), DNeighbour = c(0, 96.831866519151, 178.536608913868,      208.707091593958, 247.546531760688, 264.952185334042, 302.682548000367,      346.012691640418, 391.269744118616, 392.572728237212, 410.259707836603,      432.893494562674, 438.760494220361, 447.967979552388, 460.862819892283,      487.520938478206, 506.095811793935, 513.575668089763, 529.779229237202,      533.234280149194)), row.names = c("787", "443", "227", "74",      "512", "608", "491", "638", "684", "243", "761", "20", "330",      "576", "177", "828", "563", "179", "35", "581"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.9351350480051, 0.788360529874916, 0.717082472450104, 0.61541666314716,      0.567178619676293, 0.459399661145574, 0.335167090268885,      0.213061559645324, 0.209758463240615, 0.166508600676068,      0.116239005076813, 0.104298546074186, 0.0865764305385994,      0.0640206442253494, 0.0269312748535622, 0.00984023397552829,      0.00523804400358332, 0.000166845395355138, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       873077555 
R squared (OOB):                  -0.3021035 

$Forests[[788]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(338000, 340000, 283000,      320000, 350000, 416000, 304500, 315000, 3e+05, 285000, 288000,      258000, 387008, 292000, 3e+05, 315000, 4e+05, 365000, 395000,      433000), floor_area_sqm = c(93, 103, 84, 104, 91, 98, 104,      84, 84, 84, 84, 84, 97, 84, 84, 84, 92, 92, 92, 92), storey_order = c(3L,      4L, 4L, 3L, 1L, 4L, 3L, 2L, 1L, 3L, 1L, 1L, 2L, 1L, 2L, 3L,      2L, 1L, 2L, 4L), remaining_lease_mths = c(778, 784, 781,      788, 957, 779, 783, 783, 766, 776, 770, 781, 775, 761, 803,      804, 1130, 1137, 1146, 1130), PROX_CBD = c(16.3741208173644,      16.4938482623735, 16.4061281598547, 16.4061281598547, 16.4034806336055,      16.1674221276903, 16.62872619839, 16.7380919986833, 16.3138748954346,      16.2311391435218, 16.2681803933938, 16.1631400386504, 15.8742411347238,      16.3662877971208, 16.9304098343314, 15.9050437012323, 16.1976566517324,      16.0046521285213, 16.0046521285213, 16.055983361932), PROX_ELDERLYCARE = c(0.617661573186221,      0.54260343924556, 0.45678545326778, 0.45678545326778, 0.839978570407226,      0.762025473923165, 0.618318415391572, 0.827102139700697,      0.259941730365991, 0.252142982647588, 0.20801878428071, 0.194171564025932,      0.784609866943175, 0.177020457931737, 0.828632612828485,      0.346730428331521, 9.89208662673193e-07, 0.20718686492254,      0.20718686492254, 0.146417557277997), PROX_HAWKER = c(1.08852003222566,      1.26080574998962, 1.27662029927611, 1.27662029927611, 0.889236545198411,      0.872582424517839, 1.328000513126, 1.22509286076097, 1.19589315813724,      1.12300848995143, 1.14155805943316, 1.03995728027003, 0.921851461637316,      1.20613696965479, 1.5376564224438, 0.79668564149145, 1.03146250928298,      0.855932206484513, 0.855932206484513, 0.897672222950446),          PROX_MRT = c(0.70945464840636, 0.884131305433386, 0.840195727203247,          0.840195727203247, 0.660139833101166, 0.447065767326062,          1.00682967627403, 0.950017645146174, 0.896077488488813,          0.830985280221221, 0.896888955057001, 0.842728374229233,          0.243577544220952, 1.07002489239586, 1.07382507713197,          0.750476153315833, 1.02706758196582, 0.883219311345816,          0.883219311345816, 0.936151237003446), PROX_PARK = c(0.371358045807383,          0.418424058290637, 0.499042267647801, 0.499042267647801,          0.251028276822116, 0.490935310554108, 0.402413252549947,          0.234693283811741, 0.695881850270676, 0.723677668737743,          0.750067315759091, 0.707513815343702, 0.457440234531046,          0.840406553837571, 0.542342748872478, 0.475878847958935,          0.822565203699192, 0.619767633008914, 0.619767633008914,          0.683762717294504), PROX_GOOD_PRISCH = c(6.84990365493624,          6.98980449668537, 6.91087941258894, 6.91087941258894,          6.84769610957781, 6.62018800412964, 7.12509880547394,          7.2060126627476, 6.84997592861041, 6.76533990958697,          6.81173689796023, 6.70927938580052, 6.33578781760894,          6.93507101526025, 7.43262545617428, 6.45664561130608,          6.78043949525415, 6.57618460349959, 6.57618460349959,          6.63421015362065), PROX_MALL = c(0.523710338103731, 0.506769239398443,          0.408074329267436, 0.408074329267436, 0.630333401213655,          0.402318259451987, 0.615098633053939, 0.804164390636077,          0.242195958154985, 0.175221521556568, 0.188162247463955,          0.0870960802892481, 0.159478773824134, 0.298590834338171,          0.876234606673171, 0.18299798168314, 0.189710317758296,          0.110811660449771, 0.110811660449771, 0.118546137622893         ), PROX_CHAS = c(0.0863783451683255, 0.128042490192306,          0.178111672550416, 0.178111672550416, 0.142060383584178,          0.277543603442508, 0.218296317772089, 0.206110482646065,          0.218904529587093, 0.170601730776313, 0.160774225575301,          0.081875317774622, 0.159478805927642, 0.209004221202181,          0.477517805288537, 0.190026772642962, 0.0868060808909073,          0.114687044901222, 0.114687044901222, 0.110329053122027         ), PROX_SUPERMARKET = c(0.0863776808909183, 0.128042463684685,          0.17811123384324, 0.17811123384324, 0.142061131074292,          0.277543419111335, 0.218296734885766, 0.283037745664543,          0.204979568486045, 0.137275095711229, 0.189660657064324,          0.0873208554119548, 0.159478664733051, 0.303085580417471,          0.422051752195747, 0.179336240856332, 0.195853508350489,          0.112847248683738, 0.112847248683738, 0.123371553336512         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 0L, 2L, 1L,          0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 3L, 3L,          4L, 3L, 4L, 5L, 6L, 6L, 5L, 8L, 1L, 4L, 8L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(4L, 6L, 8L, 8L, 7L, 6L, 6L, 5L,          8L, 10L, 11L, 11L, 8L, 5L, 4L, 8L, 7L, 7L, 7L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 5L, 4L, 4L, 5L, 5L, 5L, 5L, 6L, 4L, 3L,          6L, 5L, 5L, 5L, 5L), DNeighbour = c(0, 176.909063014984,          187.310543701311, 187.70822317813, 224.463851493838,          272.498891979645, 293.857135211623, 356.590864908091,          364.974651235307, 373.365257923029, 415.034469466891,          455.902445421999, 520.808184508636, 537.551844929071,          596.2512270999, 617.954252638536, 619.423152123075, 630.637250453807,          632.063598050284, 637.739793971878)), row.names = c("788",      "150", "49", "595", "206", "351", "26", "896", "848", "945",      "798", "872", "83", "687", "833", "59", "427", "594", "408",      "741"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.852019828531702,      0.834910638178895, 0.834240657949692, 0.767583960160929,      0.668182848605684, 0.620443986756151, 0.472455011020922,      0.452228797728162, 0.431974128607405, 0.332320896797282,      0.239079678262078, 0.110947580004933, 0.0838201043224337,      0.01584553100247, 0.00373155181163335, 0.00320553691615934,      0.000490625916102142, 0.00031406074156688, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1857486920 
R squared (OOB):                  0.2560354 

$Forests[[789]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 410000, 399000,      365000, 420000, 350000, 385000, 411000, 380000, 395000, 418000,      485000, 423000, 440000, 420000, 430000, 625000, 425000, 415000,      415000), floor_area_sqm = c(84, 84, 102, 103, 103, 84, 102,      104, 105, 103, 84, 104, 104, 104, 105, 104, 94, 104, 103,      108), storey_order = c(3L, 4L, 3L, 1L, 2L, 2L, 3L, 1L, 1L,      4L, 3L, 3L, 2L, 3L, 2L, 1L, 3L, 3L, 2L, 3L), remaining_lease_mths = c(804,      814, 766, 757, 757, 806, 755, 806, 775, 772, 821, 823, 827,      752, 787, 805, 1085, 747, 768, 904), PROX_CBD = c(13.01786092695,      12.8927390133383, 13.0078000734933, 13.0970803497533, 13.2614515751509,      13.3385512116162, 13.2614515751509, 13.1755942624772, 12.8173662852819,      13.1724132817366, 13.3325431063631, 12.533007335037, 13.4971436153267,      13.1913836000948, 12.7549887608908, 12.514948085948, 13.3230141016287,      12.4246534304877, 13.0537205387581, 13.7944980809676), PROX_ELDERLYCARE = c(0.807586217367385,      0.702153634905252, 0.748101088186933, 0.830352740740998,      0.99636081833896, 1.09997831443452, 0.99636081833896, 1.08363260419178,      0.548539301056628, 0.906244923447749, 1.22529955141455, 0.635175801858358,      1.36472832701396, 0.779182108791446, 0.556485595404089, 0.754587815834464,      1.40693910044933, 0.223353489993969, 0.569472877275307, 0.91518434198946     ), PROX_HAWKER = c(0.976719939584195, 0.876276656944215,      0.90031621758677, 0.973651338137405, 1.14030290242306, 1.2578245237404,      1.14030290242306, 1.26154745049637, 0.687183343617196, 1.03184370064912,      1.40113048988486, 0.80610763907972, 1.53740682378418, 1.05769292681279,      0.627642822312809, 0.918952349521139, 1.58753442345041, 0.283538945902673,      0.963287544217337, 1.66782294138278), PROX_MRT = c(0.343251427728879,      0.279401054335897, 0.513893198964272, 0.602819058882962,      0.667490524156887, 0.602718547061467, 0.667490524156887,      0.324849533681113, 0.607087114668938, 0.712767869041386,      0.481797794839233, 0.317839503016409, 0.586728597341744,      0.577154139562059, 0.561554903993597, 0.361279603881815,      0.336472807994142, 0.694199692700576, 0.551410176707671,      0.658832763416297), PROX_PARK = c(0.656436399769765, 0.620470631841848,      0.842333894517479, 0.879464356596765, 0.758867978246924,      0.569772965965399, 0.758867978246924, 0.447685878226129,      0.953457314885518, 0.94305137750942, 0.354623255285983, 0.503650356541676,      0.212766960501703, 1.12092772213378, 1.16122098497616, 0.436213246481288,      0.286498275370587, 1.19561442246869, 0.974634241933185, 0.645156432286565     ), PROX_GOOD_PRISCH = c(1.85318585541752, 1.774803188623,      1.72660166123773, 1.76550469910092, 1.91909050044553, 2.07907555576542,      1.91909050044553, 2.16883728054707, 1.5016146113424, 1.76071721252525,      2.29474127216967, 1.74800143577954, 2.41235725048041, 1.6842887316892,      1.29435567579286, 1.8549021101536, 2.51508960065264, 1.09898709469432,      1.48818847749708, 2.39271928635374), PROX_MALL = c(0.400117032043626,      0.322264379768498, 0.5620231960968, 0.655283448157635, 0.72813233212774,      0.668924040978838, 0.72813233212774, 0.386525633611572, 0.635314033644823,      0.808064657998832, 0.542371475290289, 0.260189306400009,      0.707673546664446, 0.813382909306435, 0.542723135774117,      0.294446956047624, 0.614219522084071, 0.626909601034773,      0.593340478429386, 1.14990641994387), PROX_CHAS = c(0.191102980152323,      0.241407331054591, 1.4078617678234e-08, 0.10733838099953,      0.255705601713763, 0.191227179226131, 0.255705601713763,      0.194419509978617, 0.149554006756045, 0.253073540027742,      0.059226360432522, 0.227429082883153, 0.13417187150752, 0.19044114280624,      0.144180959238343, 0.29446060409402, 0.389026612692193, 0.221655673315632,      0.203693673714882, 0.17469359838053), PROX_SUPERMARKET = c(0.230446816430876,      0.234452518543083, 0.0851968725918189, 0.176189281490626,      0.336474046543398, 0.444314653432489, 0.336474046543398,      0.386520309138909, 0.14719471752053, 0.263318229535236, 0.542367678587035,      0.260187243864149, 0.707669264145537, 0.190441743522314,      0.150188458093997, 0.294460269353442, 0.614233853755243,      0.209750471448386, 0.349948262987797, 0.357404112790227),          WITHIN_350M_KINDERGARTEN = c(3L, 2L, 2L, 1L, 2L, 1L,          2L, 1L, 3L, 1L, 0L, 1L, 0L, 3L, 2L, 1L, 1L, 2L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 4L, 2L, 1L, 2L, 3L,          2L, 5L, 2L, 3L, 6L, 3L, 5L, 4L, 3L, 2L, 5L, 5L, 2L, 3L         ), WITHIN_350M_BUS = c(5L, 4L, 6L, 4L, 6L, 5L, 6L, 12L,          5L, 6L, 10L, 7L, 7L, 8L, 7L, 8L, 10L, 4L, 8L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 5L, 4L, 4L, 5L, 4L, 4L, 3L, 4L, 5L, 5L,          2L, 1L, 5L, 6L, 4L), DNeighbour = c(0, 122.757744827452,          193.14205784972, 261.783621192451, 330.360193020188,          331.446068524211, 334.420547651232, 336.665898794734,          364.261582092258, 412.460387763435, 441.484288060128,          564.499403152285, 568.171962571599, 616.616760245089,          641.927995338489, 662.250584219587, 710.176726703926,          758.476619929603, 769.280436142413, 814.517579477537)), row.names = c("789",      "493", "103", "597", "753", "618", "473", "131", "523", "225",      "565", "758", "353", "229", "215", "12", "559", "186", "541",      "542"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.955087592797343,      0.890705551690426, 0.804077844590938, 0.698054809189022,      0.696245956818316, 0.691272813474917, 0.687501236684952,      0.64000308035913, 0.552900967888199, 0.498739662193642, 0.270072613564083,      0.263595011619033, 0.182244378663838, 0.143554178196498,      0.11487733446523, 0.057500612750729, 0.0176548291783563,      0.011662404086073, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3009675919 
R squared (OOB):                  0.09235166 

$Forests[[790]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 370000, 370000,      416000, 360000, 380000, 380000, 336000, 320000, 340000, 325000,      326000, 308000, 348000, 335000, 303888, 362000, 338000, 355000,      315000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 93, 90,      91, 90, 90, 101, 90, 95, 90, 90, 94, 94, 94, 87), storey_order = c(2L,      4L, 1L, 6L, 2L, 2L, 2L, 2L, 1L, 4L, 4L, 1L, 2L, 1L, 5L, 5L,      4L, 2L, 4L, 5L), remaining_lease_mths = c(1134, 1142, 1125,      1132, 1135, 1136, 1132, 966, 980, 1011, 973, 942, 948, 968,      998, 1008, 976, 1076, 1070, 1004), PROX_CBD = c(18.2143914696608,      18.1918996486136, 18.2305685201872, 18.2305685201872, 18.1376577985599,      18.1376577985599, 18.1279148711176, 18.263890012402, 18.4122801485573,      18.5954829873069, 18.5353901232527, 17.6460086713989, 17.5548574672099,      18.0323194354466, 18.976831626196, 19.0279685600245, 18.3273029006797,      18.893500205596, 18.9417612550563, 18.9558501171738), PROX_ELDERLYCARE = c(2.48612553786713,      2.49884668013329, 2.5602844754638, 2.5602844754638, 2.49441526227585,      2.49441526227585, 2.51087611030153, 2.93603771613334, 3.05606256580079,      3.21245115339435, 3.18651864771223, 2.69583292953839, 2.64072586785555,      2.88259030935981, 3.28231449363414, 3.26154359027314, 2.7120525382807,      3.10102691254995, 3.09832013994742, 3.04148171914245), PROX_HAWKER = c(0.65924673205969,      0.600683099416637, 0.555435817196439, 0.555435817196439,      0.528296501129656, 0.528296501129656, 0.487567663506197,      0.135415800319106, 0.284310921582288, 0.468862715548992,      0.491879726860981, 0.543702723258422, 0.624754154933827,      0.459055170630849, 0.923592674397851, 0.990561993667382,      0.729165861663657, 0.926259022488312, 0.981837341088666,      1.03425383708264), PROX_MRT = c(0.88189566435518, 0.859544339931905,      0.810957189319413, 0.810957189319413, 0.789676869843372,      0.789676869843372, 0.74928998522808, 0.269488316579814, 0.34633408104891,      0.485913485771313, 0.375479822529604, 0.514213843772978,      0.605396305517498, 0.228324090957444, 0.822784932057268,      0.880588410111357, 0.470919202147399, 0.777214903782309,      0.831940647091921, 0.87145727172961), PROX_PARK = c(0.161329073171627,      0.210024151789668, 0.269300347674678, 0.269300347674678,      0.276326305891841, 0.276326305891841, 0.317511189836545,      0.826451671225411, 0.872887750975024, 0.966363588730214,      1.15334089580929, 0.873328686748902, 0.801838254358626, 1.25712692932115,      1.4431849310919, 1.5140651316136, 1.51959638840156, 1.53153013283021,      1.58031197441792, 1.64892029001525), PROX_GOOD_PRISCH = c(8.59299650088468,      8.56698720173726, 8.60245346442475, 8.60245346442475, 8.50873818737911,      8.50873818737911, 8.49670627721454, 8.61262144573917, 8.76068312560123,      8.94334048589707, 8.87993213136606, 7.99076792195858, 7.89964805631792,      8.37645219680457, 9.32093903042593, 9.37202430611723, 8.6741083827629,      9.23793284137011, 9.2863930262578, 9.30119351841798), PROX_MALL = c(0.861156548991099,      0.849415447505653, 0.89702383385846, 0.89702383385846, 0.814982856398022,      0.814982856398022, 0.819155488013484, 0.374925429890344,      0.458641270318743, 0.594166870248601, 0.460655941356388,      0.441435937338541, 0.456293365362214, 0.12060760008054, 0.897736377807805,      0.951179576311185, 0.437943127987326, 0.833273819621717,      0.886414086630636, 0.918650450187965), PROX_CHAS = c(0.170239874320939,      0.110754204684376, 0.080524556228062, 0.080524556228062,      0.0547102897319272, 0.0547102897319272, 0.0462043949149095,      0.0541347282504724, 0.182706372800723, 0.186588167457245,      0.165734202429707, 0.441435968696221, 0.456293399812874,      0.120607657412939, 0.237819060284531, 0.184556275618948,      0.319053536773146, 0.143741090403558, 0.0880613138842689,      0.067384164825537), PROX_SUPERMARKET = c(0.532940464268134,      0.565642852259794, 0.512175097136782, 0.512175097136782,      0.504768063926141, 0.504768063926141, 0.467157902200199,      0.0541355525390397, 0.182706945219403, 0.195869762300225,      0.167679568764744, 0.446325988440648, 0.425112192123464,      0.119017844673248, 0.322795161753339, 0.3125742651816, 0.198027823348086,      0.218188374485768, 0.175726554209016, 0.102761308178796),          WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 2L, 2L, 2L, 1L, 1L, 2L, 3L, 2L, 0L, 2L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 2L, 3L, 3L, 2L, 2L,          3L, 5L, 7L, 4L, 7L, 2L, 2L, 4L, 4L, 2L, 6L, 4L, 4L, 4L         ), WITHIN_350M_BUS = c(6L, 6L, 7L, 7L, 10L, 10L, 10L,          11L, 12L, 10L, 12L, 11L, 8L, 14L, 9L, 6L, 12L, 8L, 8L,          8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          4L, 5L, 5L, 5L, 3L, 2L, 4L, 4L, 4L, 5L, 4L, 4L, 4L),          DNeighbour = c(0, 62.6233540128087, 104.160297216024,          111.133922074143, 143.435909720319, 144.872818172172,          183.634510622189, 668.244272909959, 708.656647323793,          802.768619935487, 995.276397879592, 1053.59494404097,          1106.16551415626, 1115.39992413029, 1291.01675641727,          1362.00488353071, 1363.45505224377, 1371.24437406984,          1418.30904308823, 1484.34683136367)), row.names = c("790",      "600", "770", "401", "378", "285", "461", "548", "722", "901",      "838", "456", "514", "354", "915", "570", "873", "745", "932",      "52"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996443316777324,      0.990175893830847, 0.988820212507826, 0.981411575886938,      0.981039072284137, 0.96962393136681, 0.635727505659738, 0.596092522091855,      0.500571378448889, 0.302951181521507, 0.246193242305627,      0.197710581798294, 0.189517046314255, 0.0593057840673406,      0.0249796500299319, 0.0244158318286479, 0.0214879306596233,      0.007568931625414, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       531244063 
R squared (OOB):                  0.3675174 

$Forests[[791]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 468000, 455000,      458888, 460000, 450000, 422000, 425000, 460000, 510000, 485000,      440000, 452000, 430000, 390000, 475000, 426888, 323000, 382000,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 95, 92, 92, 92, 90, 92, 92, 90, 86, 90), storey_order = c(2L,      4L, 4L, 4L, 3L, 3L, 2L, 4L, 5L, 5L, 5L, 2L, 2L, 1L, 5L, 2L,      1L, 1L, 2L, 4L), remaining_lease_mths = c(1139, 1124, 1136,      1130, 1137, 1136, 1132, 988, 1136, 1133, 1141, 1136, 1133,      1134, 978, 1126, 1141, 983, 989, 973), PROX_CBD = c(12.4951121122816,      12.5372560863306, 12.5530445309639, 12.6444338023734, 12.6444338023734,      12.6444338023734, 12.6523002899419, 12.1902934701837, 12.5778468618744,      12.8180148044036, 12.8190940082697, 12.6445046545469, 12.8941535537835,      12.5852639843962, 12.4059518996545, 12.6532888174316, 12.5841594105866,      12.0200214112876, 12.3082954752684, 11.9491294576901), PROX_ELDERLYCARE = c(0.0780281999502717,      0.066903342124331, 4.52036057904239e-07, 0.0933099122535032,      0.0933099122535032, 0.0933099122535032, 0.17445131765005,      0.362754738306624, 0.25879478544564, 0.265081039187363, 0.268492105828742,      0.316798451576888, 0.346816364720296, 0.3637938018331, 0.404564014080405,      0.373604611296459, 0.419823195233641, 0.618171206910468,      0.583230122785789, 0.351349913726565), PROX_HAWKER = c(0.227760265989261,      0.184899994018696, 0.183834631869038, 0.0943584031018698,      0.0943584031018698, 0.0943584031018698, 0.228019105088385,      0.536726116414185, 0.361759384229333, 0.116173376637396,      0.146347761938812, 0.385855619963418, 0.172433027954251,      0.45815519033126, 0.551023632791116, 0.440383933038266, 0.512822421809829,      0.743318510800665, 0.732610931237137, 0.693645859237657),          PROX_MRT = c(0.288636635543175, 0.250680884626282, 0.225183269009929,          0.135663244459145, 0.135663244459145, 0.135663244459145,          0.189124878414716, 0.364194860258715, 0.325317058740364,          0.0414043955932523, 0.0524349257152741, 0.290856617513635,          0.133852264483784, 0.305105021876954, 0.467412150427879,          0.24828698655044, 0.285300897266269, 0.291532437270123,          0.348338435446781, 0.207404211118571), PROX_PARK = c(0.64692671777276,          0.614568616662392, 0.665189387379371, 0.61385987529272,          0.61385987529272, 0.61385987529272, 0.76865606278053,          0.883674706708426, 0.898636927133822, 0.594833919624026,          0.639036828502152, 0.927332929158558, 0.541994755536806,          0.998305920751222, 1.06942514246801, 0.981635622560504,          1.05356492524152, 0.871053837980522, 1.248380402738,          1.42337349535551), PROX_GOOD_PRISCH = c(2.83249303987555,          2.87119716545371, 2.90013878468328, 2.98554640042679,          2.98554640042679, 2.98554640042679, 3.02962689364369,          2.54749739008747, 2.98751376551561, 3.15789060893291,          3.16783392704602, 3.06407026512831, 3.22227453062783,          3.02473222579279, 2.85954585658161, 3.08870420529617,          3.04090040576321, 2.31713852475231, 2.82059786507503,          2.48771655129493), PROX_MALL = c(0.848059510883206, 0.863947607104433,          0.801147315442336, 0.835997866672575, 0.835997866672575,          0.835997866672575, 0.680457081346124, 0.835543217968543,          0.550769417999913, 0.881741038155881, 0.842111664425906,          0.525247230278188, 0.965068597681967, 0.450387082903272,          0.423524868376446, 0.475487624694748, 0.39575302739997,          0.859289251142989, 0.312386349772529, 0.591401580344059         ), PROX_CHAS = c(3.19858778746232e-08, 0.0439945201117045,          0.0780281620295796, 0.102096070463208, 0.102096070463208,          0.102096070463208, 0.162820120107843, 0.167384851183216,          0.236995708134403, 0.0772642002388838, 0.0812086980787344,          0.312339613016365, 0.115846127710365, 0.324614821605945,          0.187639553192951, 0.362882313204726, 0.369996201265779,          0.310908028614088, 0.200650927390068, 0.136369833447508         ), PROX_SUPERMARKET = c(0.255060837787685, 0.218453608018692,          0.189775839444753, 0.102095775430648, 0.102095775430648,          0.102095775430648, 0.162819600148508, 0.552359009160243,          0.299832635957983, 0.0772646744727167, 0.0812089624400091,          0.312339147167174, 0.115845823699909, 0.389269910824952,          0.375814638453933, 0.36465940083402, 0.385003628727568,          0.507879796624066, 0.200651971059786, 0.234851160706955         ), WITHIN_350M_KINDERGARTEN = c(3L, 1L, 1L, 1L, 1L, 1L,          1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 2L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 6L, 7L, 7L, 7L, 7L,          6L, 3L, 5L, 6L, 7L, 5L, 5L, 4L, 4L, 5L, 4L, 1L, 4L, 6L         ), WITHIN_350M_BUS = c(10L, 10L, 11L, 10L, 10L, 10L,          11L, 12L, 8L, 9L, 9L, 11L, 6L, 11L, 10L, 11L, 10L, 6L,          8L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 3L, 4L, 3L, 4L, 4L, 3L, 4L, 5L, 4L, 5L, 4L, 6L, 7L         ), DNeighbour = c(0, 44.4000865664758, 72.5762589880014,          149.076314379143, 149.153888969001, 150.072543572268,          246.633844369518, 308.527980734271, 314.48538060854,          321.697815863194, 336.122313331356, 380.209124685305,          393.192656346782, 418.739178178557, 433.539123614328,          440.046116681772, 472.362438400258, 544.555444645592,          603.803844286556, 789.310143981901)), row.names = c("791",      "672", "764", "807", "92", "166", "311", "783", "355", "115",      "44", "144", "371", "180", "138", "759", "868", "909", "231",      "175"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.993681491032055,      0.983162252356044, 0.929929368188952, 0.929857750160777,      0.929007012368751, 0.814260789425187, 0.717765491005198,      0.707706593172306, 0.695369292937218, 0.670200293346623,      0.589773356577041, 0.5652774363309, 0.516322883781298, 0.487636558094323,      0.474976904079422, 0.411981598400005, 0.274596804141596,      0.172067914168314, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       990203692 
R squared (OOB):                  0.4555113 

$Forests[[792]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(580000, 575000, 565000,      520000, 548888, 580000, 540000, 510000, 495000, 380000, 540000,      403500, 505000, 475000, 5e+05, 505000, 376000, 374000, 490000,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 93,      93, 90, 90, 90, 90, 90, 92, 92, 102, 103, 92, 92), storey_order = c(4L,      4L, 3L, 1L, 2L, 4L, 4L, 3L, 3L, 4L, 3L, 5L, 6L, 5L, 3L, 4L,      5L, 2L, 3L, 1L), remaining_lease_mths = c(1140, 1137, 1127,      1138, 1130, 1134, 1075, 1076, 1076, 973, 1067, 965, 1033,      1031, 1049, 1051, 944, 862, 1038, 1037), PROX_CBD = c(11.6525204845234,      11.6525204845234, 11.6525204845234, 11.6952918230505, 11.7494815193957,      11.7494815193957, 11.8019303594103, 11.734228152501, 11.7824349405223,      11.9491294576901, 11.5237533038112, 12.0682850666201, 11.6571985599938,      11.780035597066, 11.4975151935682, 11.4388659085475, 11.9885535057438,      11.0478583208432, 11.6213283462416, 11.6419253241709), PROX_ELDERLYCARE = c(0.090696724945174,      0.090696724945174, 0.090696724945174, 0.0818897866131208,      0.0736890817471424, 0.0736890817471424, 0.184707688528033,      0.217445500321488, 0.213047345375207, 0.351349913726565,      0.374021376468387, 0.36227142211874, 0.400746835300904, 0.389019901488026,      0.485429735975203, 0.529438756707198, 0.468647269590137,      0.694826263841934, 0.621923465733728, 0.626216066088841),          PROX_HAWKER = c(0.325622570567264, 0.325622570567264,          0.325622570567264, 0.374319678668878, 0.418792449609449,          0.418792449609449, 0.425288384889406, 0.366555491930585,          0.411134055372247, 0.693645859237657, 0.235307086042243,          0.732401821736703, 0.38372613736418, 0.475091880549249,          0.320302217757218, 0.319632581294072, 0.661637750611862,          0.33156405975617, 0.537052085835962, 0.553081930127745         ), PROX_MRT = c(0.219824289848129, 0.219824289848129,          0.219824289848129, 0.18359152527436, 0.183595482094196,          0.183595482094196, 0.341923672362566, 0.276453864170284,          0.323171872402698, 0.207404211118571, 0.148196296616071,          0.353072027979069, 0.187661086924798, 0.149757666469573,          0.24936700359253, 0.264110896255266, 0.253577460439113,          0.413251174688675, 0.182944945438028, 0.168432978085695         ), PROX_PARK = c(1.18955170998222, 1.18955170998222,          1.18955170998222, 1.23082333360032, 1.25382465781663,          1.25382465781663, 1.09015045463689, 1.00928973198994,          1.04913519120928, 1.42337349535551, 0.808531626238996,          1.2554933111164, 0.822874314333037, 0.915827670442916,          0.698336840868775, 0.653351036954048, 0.965214735166117,          0.855372307789476, 0.643411448820926, 0.654970873229416         ), PROX_GOOD_PRISCH = c(2.3279627535371, 2.3279627535371,          2.3279627535371, 2.35260315569007, 2.40225451049103,          2.40225451049103, 2.57167610218627, 2.54247396470066,          2.5757070458522, 2.48771655129493, 2.43173748992112,          2.66094910730305, 2.58492752090912, 2.67648686403773,          2.48345794754568, 2.45055199705462, 2.84793008582659,          1.96973866183315, 2.69528593883292, 2.71543842399088),          PROX_MALL = c(0.807719243520252, 0.807719243520252, 0.807719243520252,          0.785373664552542, 0.730910693989521, 0.730910693989521,          0.70263709534569, 0.781937846313192, 0.732391369928616,          0.591401580344059, 0.840908486660855, 0.424043071559413,          0.718523422751835, 0.657761426948524, 0.805279144871904,          0.840491697823826, 0.581599658792334, 0.400154220571097,          0.597386337892971, 0.576398809288588), PROX_CHAS = c(0.162428164506486,          0.162428164506486, 0.162428164506486, 0.141926234339659,          0.105514964386053, 0.105514964386053, 0.144895120017984,          0.203102352137365, 0.182294192745256, 0.136369833447508,          0.0822817354855642, 0.0850792531740411, 0.162236141473446,          0.165734916528407, 0.18789773503711, 0.210772889992189,          0.0548782345589675, 0.193330180912365, 0.130352204164602,          0.118628580179885), PROX_SUPERMARKET = c(0.158766807317564,          0.158766807317564, 0.158766807317564, 0.137537075296593,          0.100761764224213, 0.100761764224213, 0.149354766345577,          0.206717744357565, 0.186528474083994, 0.234851160706955,          0.113409172087645, 0.0850782630125017, 0.248678179468178,          0.328761363845442, 0.186124684843571, 0.189609627596398,          0.41771106664497, 0.392366955335671, 0.0679201472407272,          0.0879874709963817), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 5L, 5L, 7L, 8L, 8L, 6L, 4L, 5L, 8L, 9L, 4L, 4L,          6L, 2L, 6L, 6L), WITHIN_350M_BUS = c(11L, 11L, 11L, 13L,          14L, 14L, 13L, 10L, 11L, 12L, 5L, 12L, 9L, 8L, 8L, 7L,          14L, 7L, 8L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 6L, 6L,          6L, 6L, 6L, 5L, 7L, 7L, 4L, 7L, 5L, 6L, 4L, 5L, 7L, 6L,          6L, 5L), DNeighbour = c(0, 1.3176452302871, 6.97533176882199,          41.4091137467462, 99.590359094888, 100.835772098169,          271.845501987148, 283.45132957749, 295.380725348902,          361.911726386827, 395.507342982004, 416.974398525863,          455.075940997498, 459.032985934789, 507.737759554544,          540.405501726464, 562.504795752823, 638.553231309942,          670.956357857733, 671.826127565225)), row.names = c("792",      "580", "557", "917", "808", "281", "342", "409", "260", "175",      "652", "860", "977", "263", "553", "271", "486", "694", "89",      "421"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999992306705289,      0.999784413011978, 0.992416279056333, 0.956533699000019,      0.955452236942643, 0.699346086777246, 0.675668357030622,      0.650751481405102, 0.503821615309964, 0.426966221812682,      0.377958619504537, 0.292862491846733, 0.284252765546832,      0.183895443412223, 0.124586425554994, 0.0893810572959384,      0.00933142005863947, 6.69564366274322e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2585897578 
R squared (OOB):                  0.4969185 

$Forests[[793]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 4e+05, 368000,      385000, 350000, 368888, 331000, 375000, 340000, 310000, 390000,      395000, 568000, 350000, 315000, 350000, 380000, 350000, 320000,      530000), floor_area_sqm = c(92, 96, 92, 92, 92, 92, 107,      92, 92, 104, 93, 93, 92, 104, 104, 93, 93, 92, 105, 92),          storey_order = c(1L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 2L,          3L, 3L, 4L, 4L, 3L, 1L, 1L, 3L, 1L, 3L, 2L), remaining_lease_mths = c(1090,          1098, 1100, 1132, 1111, 1102, 869, 1139, 1133, 869, 1113,          1108, 1117, 812, 807, 1111, 1110, 1131, 815, 1108), PROX_CBD = c(15.0414874321427,          15.0414874321427, 14.9752079088984, 14.9536689261967,          14.8482953663728, 14.8482953663728, 15.2221855529023,          14.8395197777251, 14.8395197777251, 15.2437764157418,          14.6879879340018, 14.6649260398624, 15.3987887594526,          14.8739209120931, 15.3877172812078, 14.6221320584002,          14.607628567626, 14.6346875310408, 15.4421704385289,          15.4274201584828), PROX_ELDERLYCARE = c(0.180026828914976,          0.180026828914976, 0.199763345782594, 1.13414610370389e-06,          0.157028625587627, 0.157028625587627, 0.277621781700774,          0.143171284390361, 0.143171284390361, 0.313986883487753,          0.267910637295867, 0.374463671675583, 0.578356799737993,          0.224374856243457, 0.4433955665635, 0.410896008057539,          0.363539264939185, 0.318998242024868, 0.497101135842809,          0.637452860447804), PROX_HAWKER = c(0.135868389364205,          0.135868389364205, 0.202333554334061, 0.283688306330561,          0.332945546865787, 0.332945546865787, 0.252887916114098,          0.426817039061835, 0.426817039061835, 0.306302732963744,          0.507741768149319, 0.515424723672587, 0.294909248784724,          0.490895901627697, 0.342886316384117, 0.55845452984231,          0.571839614015762, 0.567748890704442, 0.380223054122965,          0.365463704587155), PROX_MRT = c(1.27219969611937, 1.27219969611937,          1.27457972333389, 1.45204946878565, 1.41585626072206,          1.41585626072206, 1.3991563615676, 1.58589972239689,          1.58589972239689, 1.43926724244883, 1.51619569366002,          1.31347134818138, 0.921278705332003, 1.67344316225132,          1.37085724211185, 1.30119397664661, 1.42703012637354,          1.53691575721219, 1.36083949137777, 0.843485398790606         ), PROX_PARK = c(0.270313948020077, 0.270313948020077,          0.259935562114549, 0.447466290733612, 0.40224168015695,          0.40224168015695, 0.500874596291267, 0.573834160005083,          0.573834160005083, 0.554495921895103, 0.573128508978659,          0.48594234877488, 0.283836897691409, 0.671840643384197,          0.57859629393417, 0.524601749565547, 0.592644125813336,          0.633519966923, 0.607675278354181, 0.308677700833154),          PROX_GOOD_PRISCH = c(5.69200203864946, 5.69200203864946,          5.6171537261999, 5.64958645026222, 5.51627049340211,          5.51627049340211, 5.9271396376627, 5.56483468018996,          5.56483468018996, 5.96162295702861, 5.38500296681299,          5.30673314037113, 5.98797030068414, 5.63420261242257,          6.09187968106835, 5.26427170666348, 5.28617698570013,          5.34297669438126, 6.14472917023144, 6.00000717285666),          PROX_MALL = c(0.767711199656331, 0.767711199656331, 0.689421511186311,          0.806257336881612, 0.649229394533883, 0.649229394533883,          1.02106462402642, 0.805396060532061, 0.805396060532061,          1.03199787585398, 0.626246838364162, 0.439421746266814,          0.692287086677849, 0.927972955155417, 0.900250825960545,          0.412850725186958, 0.523782484457491, 0.633302242537752,          0.860369947035052, 0.657665812567692), PROX_CHAS = c(0.163757574589084,          0.163757574589084, 0.230775629929228, 0.14456617920399,          0.274130336331615, 0.274130336331615, 0.0544459444778504,          0.204546662914522, 0.204546662914522, 4.60754704120663e-08,          0.160113448728027, 0.0969357032130768, 0.0335692412129841,          0.25243947150411, 0.147116034863504, 0.0938393111767789,          0.198893245072118, 0.120955806912261, 0.200516789487464,          0.0964991818226865), PROX_SUPERMARKET = c(0.197268674737732,          0.197268674737732, 0.264202614673064, 0.16127040484797,          0.296829834724774, 0.296829834724774, 0.0768892314501321,          0.280088374069707, 0.280088374069707, 0.0947293086454089,          0.300165340388346, 0.0969351949685631, 0.352133387221186,          0.298947211163532, 0.236697160290918, 0.0938384818523742,          0.223766299699327, 0.327836032489634, 0.291068212048821,          0.324468805261885), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L,          1L, 0L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 7L, 5L, 5L, 5L, 5L, 5L, 4L, 6L, 6L, 1L, 3L, 4L, 6L,          4L, 6L, 6L, 2L), WITHIN_350M_BUS = c(9L, 9L, 9L, 6L,          9L, 9L, 8L, 5L, 5L, 8L, 7L, 8L, 6L, 6L, 7L, 9L, 7L, 8L,          9L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 4L, 4L,          3L, 3L, 3L, 3L, 4L, 4L, 4L, 3L, 3L, 4L, 4L, 4L, 3L, 4L         ), DNeighbour = c(0, 5.09130667380015, 77.6648931563156,          184.563057674758, 205.754535372507, 205.78482595193,          292.910562094387, 319.611596773008, 321.676768958368,          343.109585125826, 379.308217775629, 389.4443902122, 404.607002888128,          407.896665532761, 423.863403136631, 430.44030781888,          439.184997973991, 444.032927944322, 465.609227061444,          475.990457536693)), row.names = c("793", "632", "558",      "139", "762", "195", "679", "152", "543", "578", "469", "17",      "714", "602", "895", "324", "452", "583", "586", "712"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999771194123879, 0.947463259862804, 0.721911224026658,      0.661206457753107, 0.661116981804076, 0.386037238359706,      0.301546919711999, 0.295161301822649, 0.230784083560861,      0.133209751891893, 0.109287489231307, 0.0769762936824032,      0.0705692770783846, 0.0428624856258453, 0.0332090083779997,      0.0221024406357431, 0.0168403513257676, 0.00186138962837599,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3728286436 
R squared (OOB):                  0.1052045 

$Forests[[794]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(682000, 745000, 729999,      653000, 742000, 468888, 688000, 480000, 535000, 4e+05, 478000,      5e+05, 5e+05, 4e+05, 360000, 7e+05, 413888, 649888, 533000,      566888), floor_area_sqm = c(100, 100, 100, 91, 92, 92, 90,      92, 92, 104, 92, 91, 91, 92, 92, 95, 88, 87, 88, 88), storey_order = c(10L,      10L, 6L, 2L, 7L, 3L, 6L, 3L, 3L, 4L, 4L, 1L, 2L, 3L, 2L,      3L, 2L, 3L, 1L, 8L), remaining_lease_mths = c(1120, 1122,      1122, 1121, 1104, 701, 985, 692, 694, 745, 716, 690, 706,      708, 719, 1100, 668, 1103, 653, 650), PROX_CBD = c(9.28682806708392,      9.28682806708392, 9.41601606571959, 9.51816518584724, 9.57467117229508,      9.79963982832759, 9.84174458192399, 9.76973796844692, 9.76973796844692,      9.4187827620762, 9.58813304663833, 10.2183960492338, 10.2657373615824,      10.1748545259067, 10.2629321739313, 7.97001655790022, 7.88501742637481,      7.02256530608061, 6.92829321613491, 6.76124856282603), PROX_ELDERLYCARE = c(0.306248896776786,      0.306248896776786, 0.14515851054369, 0.0590206014568566,      0.0836678964153836, 0.390845215421192, 0.339166460968835,      0.487200680071974, 0.487200680071974, 0.579996323717894,      0.251441869005946, 0.670964346371623, 0.519949541574078,      0.889757070081441, 1.00265829049513, 0.682273370470252, 0.487583248392117,      0.467453442926814, 0.389684735109723, 0.20742531007413),          PROX_HAWKER = c(0.449541776391294, 0.449541776391294,          0.552624576950901, 0.5145461029689, 0.628838904549623,          0.315572935590663, 0.272020065995023, 0.323134910569429,          0.323134910569429, 0.508914568418093, 0.391674386653945,          0.161327078165055, 0.527790221924738, 0.304343114187016,          0.370496257898541, 0.840126401207934, 0.645875214067525,          0.207247650371579, 0.133504850959355, 0.171967883722699         ), PROX_MRT = c(0.819017740329599, 0.819017740329599,          0.796240617220745, 0.689820066215858, 0.731513991246432,          0.308409661615337, 0.348847208140378, 0.307725216106606,          0.307725216106606, 1.21403827268849, 0.707146681079003,          0.352113639571012, 0.351828842975553, 1.12559589355515,          1.21137251272603, 0.726942522279936, 0.707952731476156,          0.409658939160285, 0.407218977151475, 0.31120761671675         ), PROX_PARK = c(0.754667699158598, 0.754667699158598,          0.579398729399101, 0.506309566114581, 0.402026431996325,          0.556935587195362, 0.429024269124863, 0.692980820038259,          0.692980820038259, 0.633868788719276, 0.630094576064042,          0.412720152963846, 0.752867192571236, 0.326884491561474,          0.429817985649402, 0.618444971248099, 0.511064020035708,          0.380160428577633, 0.377410917604964, 0.273246118986377         ), PROX_GOOD_PRISCH = c(1.50498632547922, 1.50498632547922,          1.45792936689373, 1.35033962190844, 1.37880970746963,          0.97109568154285, 0.999365026226873, 0.945616550360875,          0.945616550360875, 1.8319493658717, 1.10432321767326,          0.778258345851083, 0.402201611323318, 1.53712936271762,          1.58756538029025, 2.78644315018514, 2.82520953766913,          2.07008813823767, 2.0639866413545, 1.9155109693321),          PROX_MALL = c(0.732362808464395, 0.732362808464395, 0.616886214909116,          0.508727078362918, 0.493679276753517, 0.277854565241424,          0.188176716989659, 0.3113714109904, 0.3113714109904,          0.308706652763352, 0.759347764163403, 0.1993183735571,          0.347570072991699, 0.493589384976364, 0.573348708551386,          0.66906173274608, 0.535655644340599, 0.395390786334096,          0.352244010010256, 0.191774654856939), PROX_CHAS = c(0.30624919123722,          0.30624919123722, 0.145158576319141, 0.0590210156667789,          0.0836673580931749, 0.213793078898363, 0.139131199666608,          0.164045702260751, 0.164045702260751, 0.308706623046814,          0.395290416984683, 0.176868193181362, 0.329846033180528,          0.118978706369709, 0.166187985395119, 0.195243012850588,          0.102679570293108, 0.278446199404133, 0.180332756228222,          0.19177461752976), PROX_SUPERMARKET = c(0.309780650655361,          0.309780650655361, 0.145877744762322, 0.0642147642973091,          0.0769150331708007, 0.217115292225756, 0.139131268426574,          0.329801606095394, 0.329801606095394, 0.31508799294366,          0.20799335196523, 0.245740902557878, 0.353445486406562,          0.371852561025965, 0.394772134126693, 0.169510705521186,          0.158953339299884, 0.0888694671696128, 0.0762755382886037,          0.113049768890948), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L,          1L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 1L, 2L, 4L, 4L, 3L, 3L, 4L, 2L, 6L, 4L, 3L, 1L, 0L,          1L, 3L, 5L, 4L), WITHIN_350M_BUS = c(7L, 7L, 8L, 7L,          7L, 11L, 9L, 11L, 11L, 3L, 7L, 6L, 10L, 8L, 7L, 7L, 5L,          10L, 7L, 8L), WITHIN_1KM_PRISCH = c(1L, 1L, 2L, 2L, 2L,          3L, 3L, 3L, 3L, 0L, 2L, 4L, 3L, 0L, 0L, 1L, 1L, 0L, 0L,          0L), DNeighbour = c(0, 7.56197304068479, 184.514070921032,          250.87486859433, 358.382185520114, 542.341419315777,          554.837406612567, 564.938504657199, 572.543951607379,          695.077173519931, 841.475377396945, 933.012621933923,          1141.31813684553, 1182.09680562605, 1291.38206106498,          1318.93820642404, 1405.59757263432, 2359.4278708825,          2431.11240112383, 2622.07083323948)), row.names = c("794",      "308", "928", "983", "551", "943", "268", "926", "68", "278",      "640", "584", "649", "245", "244", "904", "338", "221", "978",      "834"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999983365505808,      0.990120760424397, 0.981775187175794, 0.96298665326094, 0.91626712478949,      0.912453415482589, 0.909313108801439, 0.906914934742206,      0.864395688594695, 0.804627396350339, 0.762800828925605,      0.656970095077619, 0.634820485505529, 0.573714105476098,      0.557974588226511, 0.507849316444712, 0.036213783518699,      0.0196983611209287, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5253436400 
R squared (OOB):                  0.6742198 

$Forests[[795]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(648000, 5e+05, 565000,      448000, 670000, 410000, 588000, 439000, 430000, 630000, 638000,      560000, 408000, 516000, 435000, 440000, 450000, 485000, 548000,      430000), floor_area_sqm = c(116, 105, 103, 105, 94, 97, 95,      97, 102, 102, 102, 104, 91, 98, 98, 92, 92, 103, 95, 93),          storey_order = c(4L, 2L, 4L, 1L, 6L, 4L, 3L, 3L, 3L,          6L, 9L, 3L, 3L, 3L, 1L, 3L, 1L, 2L, 2L, 3L), remaining_lease_mths = c(871,          857, 852, 866, 1104, 665, 1025, 669, 869, 870, 869, 851,          674, 698, 692, 677, 679, 855, 981, 728), PROX_CBD = c(8.27332873959955,          8.19182633034048, 8.19182633034048, 8.05276498978228,          8.58683984966127, 8.66747718420982, 8.51090417959469,          8.73211086874077, 8.77938926255451, 7.86314261154951,          7.86314261154951, 7.6651195249001, 8.96374942103709,          8.70928269501252, 8.85689554561162, 8.7589377611275,          8.7589377611275, 7.70120549943486, 8.37940280964872,          8.20083785223568), PROX_ELDERLYCARE = c(0.354571010374291,          0.444818640633349, 0.444818640633349, 0.599632276485302,          0.203840329735754, 0.0441159965049124, 0.120425912751251,          0.292319821872094, 0.374310234303432, 0.731462959428347,          0.731462959428347, 0.216787702409289, 0.267188539522683,          0.119444653145476, 0.272187629818594, 0.169235371196244,          0.169235371196244, 0.883817181840043, 0.335901694998922,          0.41240614163537), PROX_HAWKER = c(0.610975272844239,          0.553760551741158, 0.553760551741158, 0.560005371648267,          0.433030813326955, 0.357845486047337, 0.166697492306482,          0.436547444862961, 0.0530841043788875, 0.573870222021737,          0.573870222021737, 0.778265933598076, 0.393731145214296,          0.281172749103646, 0.446318851105742, 0.330091511745513,          0.330091511745513, 0.72907919143595, 0.203869560106314,          0.35604829505958), PROX_MRT = c(1.0936063211659, 1.08457427678223,          1.08457427678223, 1.12051759514643, 0.751078096441513,          0.874328108605637, 0.608243230971526, 0.600073719023998,          1.18818107396501, 0.85984195598231, 0.85984195598231,          0.910191895307983, 0.71987240697712, 0.379410256905797,          0.372678744867538, 0.338391484905848, 0.338391484905848,          0.692418360175919, 0.62312262100292, 0.805467939952349         ), PROX_PARK = c(0.477465658778908, 0.374102285306053,          0.374102285306053, 0.30128672956265, 0.52118662053352,          0.691303172853456, 0.368529270986479, 0.617507126900098,          0.700959888788064, 0.281207712521794, 0.281207712521794,          0.361681715476141, 0.60552725382935, 0.513364518506117,          0.479885299937475, 0.469340752260783, 0.469340752260783,          0.450335295656325, 0.394842599629624, 0.393072899865764         ), PROX_GOOD_PRISCH = c(0.856939381531897, 0.769163347741007,          0.769163347741007, 0.631981624625733, 1.16640042723588,          1.23754792076915, 1.13331232297991, 1.31940815963163,          0.963274696928036, 0.562813849840511, 0.562813849840511,          0.353240700451805, 1.13785719900195, 1.35677240305411,          1.47413984574199, 1.40615721612308, 1.40615721612308,          0.490611064856358, 1.14854892992093, 1.04754826657838         ), PROX_MALL = c(0.991200103712322, 0.997182626507123,          0.997182626507123, 1.07178760783233, 0.632538285087724,          0.740457696387364, 0.540250505232014, 0.469553394647833,          0.946404029132472, 0.943364056194349, 0.943364056194349,          0.987031177772312, 0.480317195978648, 0.313890580083005,          0.241772845363545, 0.264395031718586, 0.264395031718586,          0.779066462317335, 0.651389947232486, 0.844084234929545         ), PROX_CHAS = c(0.413431749899638, 0.311461966699573,          0.311461966699573, 0.167974733321899, 0.237191200694799,          0.34300149800099, 0.0869956868442428, 0.0664211666443358,          0.064920565519497, 0.201852081003395, 0.201852081003395,          0.371562543403755, 0.143131544605207, 0.112175615725657,          0.157458356405151, 0.0806835690144568, 0.0806835690144568,          0.0405139203460024, 0.11938167830482, 0.0460460495231756         ), PROX_SUPERMARKET = c(0.502190497784501, 0.485938543293979,          0.485938543293979, 0.372458117254617, 0.35437102597818,          0.158725757407685, 0.0869967242830128, 0.350370254212894,          0.239175324970861, 0.115543350477338, 0.115543350477338,          0.176585087131714, 0.181164390242962, 0.221335227738319,          0.224853982916395, 0.24726445439454, 0.24726445439454,          0.0588346413192393, 0.282093113359979, 0.436961702644775         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 3L, 1L, 0L,          2L, 1L, 1L, 4L, 4L, 0L, 1L, 2L, 2L, 2L, 2L, 4L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 2L, 2L, 3L, 5L, 2L,          6L, 6L, 2L, 3L, 3L, 1L, 4L, 7L, 7L, 8L, 8L, 4L, 4L, 2L         ), WITHIN_350M_BUS = c(8L, 7L, 7L, 5L, 4L, 5L, 5L, 7L,          4L, 2L, 2L, 5L, 6L, 6L, 7L, 6L, 6L, 4L, 6L, 7L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 1L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 0L, 2L, 4L, 3L,          3L, 3L, 2L, 3L, 2L), DNeighbour = c(0, 118.213284598035,          118.496863827651, 274.50472285989, 371.631458032451,          393.438493463653, 504.776752039192, 537.09840426295,          602.759507958551, 626.873821230335, 627.20314514443,          634.337981998473, 701.838872571169, 712.304278896049,          749.341727687292, 752.002362936907, 753.741673369131,          780.54673836415, 783.0158931421, 851.626390461042)), row.names = c("795",      "674", "128", "635", "149", "331", "94", "842", "606", "476",      "931", "935", "692", "446", "397", "386", "194", "811", "998",      "79"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.96183545516128,      0.961653923255255, 0.803001267403356, 0.655409726728757,      0.618692356856992, 0.42078826790239, 0.362705819502658, 0.249056041415185,      0.209920894370876, 0.209399415039142, 0.198195352984569,      0.102933774240081, 0.0902565325210076, 0.050978841053897,      0.0485220806476576, 0.0469442682803963, 0.0255874254311865,      0.0239127843818954, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5416836360 
R squared (OOB):                  0.2920814 

$Forests[[796]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(590000, 650000, 640000,      580000, 725000, 580000, 660000, 515000, 620000, 560000, 451000,      520000, 409500, 418000, 446000, 488000, 480000, 385000, 465000,      678000), floor_area_sqm = c(90, 90, 90, 90, 90, 108, 105,      84, 103, 105, 83, 107, 84, 84, 94, 104, 94, 93, 91, 92),          storey_order = c(2L, 6L, 2L, 1L, 9L, 8L, 6L, 4L, 4L,          2L, 8L, 2L, 3L, 3L, 2L, 1L, 6L, 1L, 2L, 3L), remaining_lease_mths = c(996,          1011, 1011, 1006, 995, 760, 748, 804, 742, 913, 604,          892, 807, 804, 723, 776, 725, 772, 764, 1103), PROX_CBD = c(2.69989267302812,          2.65695642963531, 2.65695642963531, 2.65695642963531,          2.61519687417969, 2.26543941452074, 3.5952466633456,          3.75781957676323, 3.79744534670369, 3.91005014077452,          3.63056019358172, 4.23142849537126, 4.20973993763024,          4.20973993763024, 4.45295385586978, 4.16405648472164,          4.50933618399607, 4.25035751849909, 4.28329341592686,          3.93031212371417), PROX_ELDERLYCARE = c(0.352346052518342,          0.3590471791371, 0.3590471791371, 0.3590471791371, 0.386066702151211,          0.404007374923036, 0.354500614782039, 0.582389211118023,          0.296175206272889, 0.449207181019876, 0.124703716495981,          0.272010492111063, 0.156291063754703, 0.156291063754703,          0.645271528549996, 0.434539750657667, 0.665866395733666,          0.411587417191489, 0.4193003334471, 0.159701117649001         ), PROX_HAWKER = c(0.468835135082758, 0.48810855559281,          0.48810855559281, 0.48810855559281, 0.52081126471543,          0.210544550468706, 0.311385334077859, 0.393163811818296,          0.300770398866256, 0.464701711390969, 0.0619655343942362,          0.392124905911543, 0.46881842734995, 0.46881842734995,          0.601904675681234, 0.502732414569621, 0.665007751295857,          0.610932712322496, 0.638679046714181, 0.374782156946409         ), PROX_MRT = c(0.230131940688868, 0.285614625668497,          0.285614625668497, 0.285614625668497, 0.320255480062021,          0.306886682672286, 0.16267041353008, 0.434583879195091,          0.195276091150508, 0.361698258812245, 0.188513622979597,          0.870814763860364, 0.750034220630686, 0.750034220630686,          0.66128766903618, 0.518003091395578, 0.549595780709265,          0.605174310138743, 0.637237645879563, 0.57487373386568         ), PROX_PARK = c(0.41386436288237, 0.426964305014519,          0.426964305014519, 0.426964305014519, 0.427354201328866,          0.0441643212802781, 0.796125682214674, 0.885911587583127,          0.620239922284967, 0.651892034671684, 0.634729277660292,          0.989030190878471, 0.828179073128827, 0.828179073128827,          0.473457593144303, 0.269719137898212, 0.353281501558379,          0.346786980248178, 0.336599362476296, 0.43227753152338         ), PROX_GOOD_PRISCH = c(4.75214496578899, 4.78575462214909,          4.78575462214909, 4.78575462214909, 4.82322880287643,          5.27420554603454, 4.26949140427292, 3.98479480133756,          4.13618512399158, 3.96984616110429, 4.47678155678584,          3.47561641519302, 3.58178441884724, 3.58178441884724,          3.02211493728223, 3.99853475328204, 2.94429219434277,          3.87277035706644, 3.85984302070176, 4.55218800106713),          PROX_MALL = c(0.380876218870723, 0.412388661644518, 0.412388661644518,          0.412388661644518, 0.426721378040506, 0.216535056802411,          0.962766222186716, 1.1081035152608, 1.16769889708728,          1.2652175398851, 0.917363569028491, 1.1888213641646,          1.26743973989934, 1.26743973989934, 0.570379319619026,          1.00998414702412, 0.485349818185599, 0.955673327573223,          0.92062293894618, 1.09934779211931), PROX_CHAS = c(0.202908600866322,          0.260712311456847, 0.260712311456847, 0.260712311456847,          0.297575542785259, 0.146883739415237, 0.0963682910788478,          0.345906079563203, 0.121619853002556, 0.108899254787234,          0.112941217538546, 0.106822211501606, 0.163154212627783,          0.163154212627783, 0.303272176186244, 0.147909276913635,          0.331046161101227, 0.260827480873255, 0.285886541141976,          0.304936065418075), PROX_SUPERMARKET = c(0.44532403657541,          0.447218369070658, 0.447218369070658, 0.447218369070658,          0.470018893217644, 0.186677322210676, 0.269187390315468,          0.128350069204848, 0.191561540751545, 0.115229795891962,          0.0867224629960944, 0.139079920157556, 0.118448079318654,          0.118448079318654, 0.34627255092781, 0.506391752127701,          0.325943517329761, 0.512280309006142, 0.506434284786685,          0.35411008396507), WITHIN_350M_KINDERGARTEN = c(1L, 2L,          2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 0L, 2L, 1L, 1L, 0L, 1L,          0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L,          2L, 2L, 1L, 4L, 4L, 4L, 4L, 5L, 6L, 3L, 3L, 1L, 6L, 1L,          5L, 4L, 3L), WITHIN_350M_BUS = c(4L, 3L, 3L, 3L, 3L,          3L, 6L, 3L, 5L, 5L, 4L, 7L, 7L, 7L, 6L, 5L, 5L, 5L, 5L,          5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 0L, 3L, 3L, 1L),          DNeighbour = c(0, 63.8993038144417, 64.6749383270539,          69.0257471822494, 114.591830837273, 576.556386099963,          1187.89404006481, 1204.55397286528, 1379.56473371682,          1420.10096918465, 1427.16283079987, 1597.59642679173,          1608.38846161187, 1614.07945033578, 1750.9759480498,          1780.45080299083, 1817.06214339827, 1818.80500754787,          1858.84519175095, 1861.23867158832)), row.names = c("796",      "821", "521", "246", "923", "398", "699", "234", "952", "176",      "237", "849", "382", "907", "346", "223", "622", "19", "747",      "801"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.997644071554497,      0.997586564845614, 0.997251160808589, 0.992433251715822,      0.817292636393962, 0.351252309491017, 0.337746673309398,      0.203050189938213, 0.174599282343384, 0.169782387507648,      0.0692917367049829, 0.064133357752691, 0.0614800902766754,      0.0132189284941153, 0.00721256687424467, 0.00220023658021053,      0.00203197679647176, 6.60627636478202e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12225536226 
R squared (OOB):                  -0.2372954 

$Forests[[797]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 425000, 435000,      420000, 410000, 398000, 4e+05, 373000, 418000, 345000, 365000,      385000, 455000, 3e+05, 465000, 450000, 305000, 330000, 312000,      320000), floor_area_sqm = c(93, 93, 92, 92, 92, 92, 92, 92,      112, 95, 91, 90, 106, 85, 106, 93, 90, 105, 107, 104), storey_order = c(4L,      4L, 4L, 5L, 3L, 2L, 1L, 1L, 5L, 3L, 4L, 3L, 4L, 2L, 2L, 4L,      1L, 1L, 1L, 2L), remaining_lease_mths = c(1117, 1126, 1129,      1134, 1131, 1136, 1127, 1128, 904, 1003, 1061, 1060, 933,      979, 933, 950, 966, 896, 779, 779), PROX_CBD = c(17.3263676504413,      17.3263676504413, 17.2397585888566, 17.2397585888566, 17.2397585888566,      17.26435404508, 17.1731083577317, 17.1731083577317, 17.2048826778539,      17.7047470513727, 17.5974072281911, 17.6242343596777, 17.1634204962367,      18.0119212314593, 17.1401277939721, 17.4336546583772, 18.0816861587931,      17.9794873864528, 16.6890813896757, 16.6890813896757), PROX_ELDERLYCARE = c(0.561119780492452,      0.561119780492452, 0.500148198332671, 0.500148198332671,      0.500148198332671, 0.542806768712765, 0.456899326246073,      0.456899326246073, 0.400468425457175, 0.933045885854195,      0.819477307137174, 0.892136309268664, 0.565792923614884,      1.25793892145158, 0.586863575497558, 0.825709875044437, 1.34637729166943,      1.20397588034421, 0.296144426041885, 0.296144426041885),          PROX_HAWKER = c(0.631285601786086, 0.631285601786086,          0.55990768529081, 0.55990768529081, 0.55990768529081,          0.598096651463893, 0.507233229895407, 0.507233229895407,          0.498365875295267, 1.00938993481846, 0.922900854400271,          0.816419857336687, 0.666841975849823, 1.33204585660377,          0.685044657792881, 0.841716009165303, 1.41733367811242,          0.736691454978467, 0.360513691606501, 0.360513691606501         ), PROX_MRT = c(1.13344401626098, 1.13344401626098, 1.16124452414741,          1.16124452414741, 1.16124452414741, 1.20599959693509,          1.18009183772516, 1.18009183772516, 0.87869292375624,          1.29287496569192, 0.830609903675807, 0.729175757939742,          0.463116738810145, 1.54554013822754, 0.418422993771755,          0.463093751675267, 1.64690112478102, 1.05284557964442,          0.937471590679814, 0.937471590679814), PROX_PARK = c(0.872985599051717,          0.872985599051717, 0.959994438388966, 0.959994438388966,          0.959994438388966, 0.937816003807321, 1.02763138312455,          1.02763138312455, 0.9054780070858, 0.495314460898113,          0.751240825934154, 0.830497330619545, 0.505224516024672,          0.23250554954982, 0.454841043819919, 0.609424449579261,          0.243247600736397, 0.555889077383573, 1.20981147430356,          1.20981147430356), PROX_GOOD_PRISCH = c(6.72174636420399,          6.72174636420399, 6.64012383316355, 6.64012383316355,          6.64012383316355, 6.66937916554136, 6.57664814247058,          6.57664814247058, 6.57740517739392, 7.10206992983331,          6.95474206477502, 6.97273607492461, 6.50789265243056,          7.41905192895776, 6.48254224033906, 6.77374769998522,          7.49669975318446, 7.33264137396139, 6.16175607197734,          6.16175607197734), PROX_MALL = c(0.530342726071102, 0.530342726071102,          0.450738515511335, 0.450738515511335, 0.450738515511335,          0.484724019608978, 0.392080122681935, 0.392080122681935,          0.446026044391999, 0.790613232916467, 0.757845794253982,          0.671391539314818, 0.353588302636786, 0.658794213245526,          0.306862579253759, 0.404491618549369, 0.694568288644574,          0.387548928263219, 0.571849863617429, 0.571849863617429         ), PROX_CHAS = c(0.254413742194056, 0.254413742194056,          0.221318263528924, 0.221318263528924, 0.221318263528924,          0.270084445320348, 0.214971829128206, 0.214971829128206,          0.130380344727655, 0.40646651865696, 0.175468897673469,          0.0497500971788425, 0.171584438209325, 0.166262674114357,          0.133156315003352, 0.260153188296123, 0.119012364389208,          0.324283073315245, 0.332465298200207, 0.332465298200207         ), PROX_SUPERMARKET = c(0.529573977763673, 0.529573977763673,          0.449846933875903, 0.449846933875903, 0.449846933875903,          0.483753219919624, 0.391090025360665, 0.391090025360665,          0.445962312606475, 0.260900811674997, 0.336744227428862,          0.442456788826315, 0.320581809168482, 0.385510043100507,          0.27639551573194, 0.355873580059747, 0.485184742393951,          0.337417678694655, 0.204374831829505, 0.204374831829505         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 3L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 4L, 4L, 4L,          4L, 4L, 2L, 2L, 3L, 2L, 4L, 3L, 3L, 4L, 3L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(5L, 5L, 6L, 6L, 6L, 6L, 8L, 8L,          8L, 6L, 6L, 12L, 8L, 9L, 7L, 12L, 8L, 9L, 9L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L, 4L, 4L, 4L, 4L, 4L,          6L, 3L, 5L, 4L, 4L), DNeighbour = c(0, 2.48008835883346,          94.9713505610853, 97.3042041065171, 99.9868094521335,          105.367283016178, 165.946147626446, 166.617207201377,          269.407575689755, 373.855037181659, 500.765721877919,          636.722248942667, 674.507878040732, 698.072567712044,          720.044778819118, 759.149879626274, 791.736505951914,          809.932282830308, 822.387572227564, 826.443016426057)), row.names = c("797",      "925", "290", "280", "86", "847", "507", "985", "889", "631",      "720", "300", "991", "228", "530", "535", "85", "870", "497",      "328"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999981989054193,      0.973763112170267, 0.972467431930787, 0.970939742315695,      0.967754316269733, 0.920987841051481, 0.920360804804707,      0.798760705097981, 0.632604936861451, 0.400499309296193,      0.165182811766852, 0.111480206062898, 0.0820998187527807,      0.0580377016806299, 0.0244046886851904, 0.00676119786717463,      0.00156475703932285, 9.58467243242979e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2123193769 
R squared (OOB):                  0.2228569 

$Forests[[798]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(288000, 3e+05, 285000,      258000, 292000, 4e+05, 420000, 320000, 283000, 433000, 416000,      428000, 365000, 395000, 415000, 340000, 315000, 418000, 367000,      412000), floor_area_sqm = c(84, 84, 84, 84, 84, 92, 92, 104,      84, 92, 92, 92, 92, 92, 92, 103, 84, 92, 92, 92), storey_order = c(1L,      1L, 3L, 1L, 1L, 2L, 5L, 3L, 4L, 4L, 4L, 4L, 1L, 2L, 5L, 4L,      3L, 5L, 1L, 5L), remaining_lease_mths = c(770, 766, 776,      781, 761, 1130, 1143, 788, 781, 1130, 1140, 1140, 1137, 1146,      1144, 784, 804, 1138, 1137, 1144), PROX_CBD = c(16.2681803933938,      16.3138748954346, 16.2311391435218, 16.1631400386504, 16.3662877971208,      16.1976566517324, 16.1537572283104, 16.4061281598547, 16.4061281598547,      16.055983361932, 16.055983361932, 16.1831859860721, 16.0046521285213,      16.0046521285213, 15.9533618390172, 16.4938482623735, 15.9050437012323,      16.0903666266177, 16.0903666266177, 16.0903666266177), PROX_ELDERLYCARE = c(0.20801878428071,      0.259941730365991, 0.252142982647588, 0.194171564025932,      0.177020457931737, 9.89208662673193e-07, 0.0462823216560119,      0.45678545326778, 0.45678545326778, 0.146417557277997, 0.146417557277997,      0.0701319802482612, 0.20718686492254, 0.20718686492254, 0.251148223850536,      0.54260343924556, 0.346730428331521, 0.179967723198436, 0.179967723198436,      0.179967723198436), PROX_HAWKER = c(1.14155805943316, 1.19589315813724,      1.12300848995143, 1.03995728027003, 1.20613696965479, 1.03146250928298,      0.986028325459381, 1.27662029927611, 1.27662029927611, 0.897672222950446,      0.897672222950446, 1.00994702859189, 0.855932206484513, 0.855932206484513,      0.802087399746937, 1.26080574998962, 0.79668564149145, 0.9143232220583,      0.9143232220583, 0.9143232220583), PROX_MRT = c(0.896888955057001,      0.896077488488813, 0.830985280221221, 0.842728374229233,      1.07002489239586, 1.02706758196582, 1.02112351286352, 0.840195727203247,      0.840195727203247, 0.936151237003446, 0.936151237003446,      1.08237519657155, 0.883219311345816, 0.883219311345816, 0.8851452059773,      0.884131305433386, 0.750476153315833, 1.13213387762555, 1.13213387762555,      1.13213387762555), PROX_PARK = c(0.750067315759091, 0.695881850270676,      0.723677668737743, 0.707513815343702, 0.840406553837571,      0.822565203699192, 0.793519520304926, 0.499042267647801,      0.499042267647801, 0.683762717294504, 0.683762717294504,      0.848434833813522, 0.619767633008914, 0.619767633008914,      0.589052524814441, 0.418424058290637, 0.475878847958935,      0.83568858459355, 0.83568858459355, 0.83568858459355), PROX_GOOD_PRISCH = c(6.81173689796023,      6.84997592861041, 6.76533990958697, 6.70927938580052, 6.93507101526025,      6.78043949525415, 6.74044920052795, 6.91087941258894, 6.91087941258894,      6.63421015362065, 6.63421015362065, 6.78038310261662, 6.57618460349959,      6.57618460349959, 6.52939634907869, 6.98980449668537, 6.45664561130608,      6.70919168347838, 6.70919168347838, 6.70919168347838), PROX_MALL = c(0.188162247463955,      0.242195958154985, 0.175221521556568, 0.0870960802892481,      0.298590834338171, 0.189710317758296, 0.180580587241737,      0.408074329267436, 0.408074329267436, 0.118546137622893,      0.118546137622893, 0.241735562355662, 0.110811660449771,      0.110811660449771, 0.161178852361569, 0.506769239398443,      0.18299798168314, 0.311149009276151, 0.311149009276151, 0.311149009276151     ), PROX_CHAS = c(0.160774225575301, 0.218904529587093, 0.170601730776313,      0.081875317774622, 0.209004221202181, 0.0868060808909073,      0.0922372285822684, 0.178111672550416, 0.178111672550416,      0.110329053122027, 0.110329053122027, 0.148113838308576,      0.114687044901222, 0.114687044901222, 0.165813590617473,      0.128042490192306, 0.190026772642962, 0.215238065300109,      0.215238065300109, 0.215238065300109), PROX_SUPERMARKET = c(0.189660657064324,      0.204979568486045, 0.137275095711229, 0.0873208554119548,      0.303085580417471, 0.195853508350489, 0.186806037215644,      0.17811123384324, 0.17811123384324, 0.123371553336512, 0.123371553336512,      0.247969406526707, 0.112847248683738, 0.112847248683738,      0.162291812321236, 0.128042463684685, 0.179336240856332,      0.316789996913415, 0.316789996913415, 0.316789996913415),          WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 4L, 5L, 6L, 8L, 8L,          8L, 4L, 4L, 3L, 3L, 7L, 3L, 3L, 3L, 4L, 4L, 2L, 2L, 2L         ), WITHIN_350M_BUS = c(11L, 8L, 10L, 11L, 5L, 7L, 7L,          8L, 8L, 7L, 7L, 7L, 7L, 7L, 8L, 6L, 8L, 8L, 8L, 8L),          WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 4L, 5L, 4L, 4L,          4L, 5L, 5L, 4L, 5L, 5L, 5L, 4L, 6L, 4L, 4L, 4L), DNeighbour = c(0,          60.1767177645244, 62.4127666607045, 101.939168512135,          171.561561390217, 204.689336222253, 233.563977322337,          254.231541492216, 259.222130706267, 259.370580446706,          263.746737270336, 276.109593012469, 284.57401523947,          284.705764354087, 337.584726409291, 348.236612533455,          357.87104796997, 392.595696065874, 395.503217221683,          396.533958355431)), row.names = c("798", "848", "945",      "872", "687", "427", "869", "595", "49", "741", "538", "661",      "594", "408", "124", "150", "59", "249", "161", "919"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.954470144267007, 0.951066867546885, 0.872191966561392,      0.660662502719882, 0.538083054923855, 0.426490932541126,      0.34685826931551, 0.32792839091688, 0.327367886693997, 0.310919688196496,      0.265385479564927, 0.235199138126448, 0.234736707142988,      0.0757473277862827, 0.0523323217817546, 0.0344093657733178,      0.000390646970141146, 2.69568292035091e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       886099074 
R squared (OOB):                  0.7522204 

$Forests[[799]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(348000, 309000, 345000,      445000, 323000, 338000, 330000, 360000, 361000, 480000, 333000,      328000, 4e+05, 335000, 388000, 385000, 325000, 350880, 430000,      360000), floor_area_sqm = c(93, 91, 91, 100, 92, 93, 84,      103, 84, 104, 84, 84, 103, 84, 104, 104, 85, 91, 91, 104),          storey_order = c(4L, 2L, 3L, 3L, 2L, 5L, 3L, 1L, 4L,          2L, 3L, 4L, 3L, 2L, 3L, 4L, 1L, 2L, 4L, 2L), remaining_lease_mths = c(777,          774, 773, 949, 690, 860, 791, 798, 794, 777, 823, 806,          796, 796, 751, 740, 830, 785, 777, 804), PROX_CBD = c(9.5834162789491,          9.64616581570663, 9.63489497584329, 9.38671442358298,          9.445702961959, 9.71808261065178, 9.73525531751342, 10.1540744969693,          10.1908965186918, 8.81196120759187, 9.85122377146013,          10.2439629519707, 10.2571858212528, 10.2571858212528,          10.2659136784881, 10.2659136784881, 10.1989356004427,          10.3813809316332, 10.4167519306418, 10.0879656312395),          PROX_ELDERLYCARE = c(0.221128007339761, 0.306199433665808,          0.42629854090558, 0.197320443098403, 0.0646727834979237,          0.288600487645686, 0.869795033999967, 0.85844301108046,          0.891997547710976, 0.68560621126507, 0.999223533815273,          0.904720646157319, 0.969336561855173, 0.969336561855173,          0.737818764037149, 0.737818764037149, 1.08623091115154,          0.833489789321986, 0.852176862644424, 1.31022889057949         ), PROX_HAWKER = c(0.844035637065003, 0.906506968115566,          0.908741650371918, 0.671765492644128, 0.802499530175562,          1.10941781168001, 0.687117415591119, 0.614574465644474,          0.594526114354717, 0.290355020850324, 0.526313717816828,          0.616195579705155, 0.543600998034675, 0.543600998034675,          1.65941342147148, 1.65941342147148, 0.368744432216956,          1.5910354083573, 1.55256346901264, 0.196699811405185),          PROX_MRT = c(0.679762822214213, 0.626377719466395, 0.669484450879797,          0.671695564859285, 0.834535111428891, 0.750225097750018,          0.86810604264512, 0.544743966599557, 0.554399001312584,          0.425157896719621, 0.907717901248049, 0.52596302633555,          0.5984056038899, 0.5984056038899, 0.684374477874155,          0.684374477874155, 0.78040997284139, 0.699917284291438,          0.686459009674335, 1.09046737609619), PROX_PARK = c(0.171128410914521,          0.106198450905693, 0.197084482081202, 0.409638708762546,          0.508498628446561, 0.552878075981585, 0.452373350223662,          0.578916018382343, 0.61263038213259, 0.468007817587664,          0.510337594738446, 0.626908579085899, 0.690393008756984,          0.690393008756984, 0.570788416471153, 0.570788416471153,          0.808282577864154, 0.616002692100522, 0.613918856542286,          0.604882226694947), PROX_GOOD_PRISCH = c(1.81796659730331,          1.71137279935344, 1.59153495480405, 1.96445822173508,          2.16640973416033, 2.3197363622043, 1.15234422615158,          1.40445923276907, 1.40421671412888, 2.18636815139252,          1.05242409875061, 1.44855804010835, 1.38840710840139,          1.38840710840139, 2.58742850928016, 2.58742850928016,          1.199846441039, 2.6286340652406, 2.62113030487697, 0.87937610392538         ), PROX_MALL = c(0.812301361871699, 0.808294932987377,          0.873569112263515, 0.704978058880463, 0.855253012280219,          0.64580888250568, 0.907839978504126, 0.685950169481642,          0.685823836221668, 0.389401354829447, 0.756051767526383,          0.644656189163291, 0.638527944164543, 0.638527944164543,          0.364765391124967, 0.364765391124967, 0.663851500718272,          0.365493224544838, 0.350991485118426, 0.441232897113797         ), PROX_CHAS = c(0.334146331647452, 0.415210445937219,          0.454068185577158, 0.181909444046462, 0.378465676389041,          0.122290728478786, 0.116614388177292, 0.170954716034814,          0.151788880767358, 0.210741683871549, 3.39583191183935e-08,          0.155315138624813, 0.0819899420632749, 0.0819899420632749,          0.204257711541377, 0.204257711541377, 0.0710453772718398,          0.28517644723447, 0.302383860370021, 0.177420148260447         ), PROX_SUPERMARKET = c(0.581458245406798, 0.675617328849562,          0.717910522287554, 0.448356351676465, 0.234896025437738,          0.190117050177684, 0.458729641056945, 0.171715993026927,          0.152401712794372, 0.365648379234028, 0.350225948243757,          0.18505229065347, 0.123486578338512, 0.123486578338512,          0.384238743245603, 0.384238743245603, 0.00115080458448496,          0.49431722643315, 0.519095500550079, 0.320748009942088         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 2L, 3L, 0L,          0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 1L, 1L, 3L, 3L, 2L,          2L, 2L, 2L, 3L, 3L, 1L, 2L, 2L, 6L, 6L, 4L, 6L, 6L, 5L         ), WITHIN_350M_BUS = c(7L, 8L, 5L, 9L, 10L, 6L, 10L,          14L, 12L, 7L, 10L, 10L, 10L, 10L, 8L, 8L, 12L, 10L, 9L,          11L), WITHIN_1KM_PRISCH = c(4L, 4L, 3L, 2L, 2L, 2L, 4L,          5L, 6L, 1L, 4L, 6L, 5L, 5L, 2L, 2L, 4L, 2L, 2L, 5L),          DNeighbour = c(0, 128.983995719569, 233.729352160763,          246.064780635886, 370.976203814983, 513.687423609074,          687.555196315637, 770.948282760992, 805.029232458948,          810.619642382686, 830.495537430749, 833.547172027986,          885.532792370834, 888.220223265565, 946.433709672559,          948.907770550555, 973.870495544415, 1039.32798029213,          1053.82305839471, 1158.43935742537)), row.names = c("799",      "785", "273", "373", "67", "624", "921", "560", "447", "465",      "129", "668", "494", "591", "77", "501", "967", "626", "480",      "292"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.975359209520384,      0.920241116683967, 0.911799144513982, 0.805412335038052,      0.645402280911427, 0.419561645149081, 0.310362452532449,      0.267369999517718, 0.260454959945212, 0.236236402675915,      0.232572364964471, 0.172776510398721, 0.169836177085578,      0.110574113732143, 0.108262474010846, 0.0860051147461338,      0.0380519313991676, 0.029742589033879, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1826289381 
R squared (OOB):                  0.1027058 

$Forests[[800]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(337000, 358000, 360000,      340000, 333000, 335000, 364000, 375000, 373888, 333000, 325000,      320000, 333000, 339000, 320000, 350000, 330000, 328000, 313000,      320000), floor_area_sqm = c(105, 101, 105, 105, 103, 100,      100, 93, 93, 90, 91, 101, 100, 102, 100, 102, 102, 92, 99,      101), storey_order = c(1L, 3L, 3L, 1L, 1L, 4L, 2L, 5L, 5L,      2L, 2L, 1L, 4L, 3L, 4L, 4L, 1L, 3L, 4L, 2L), remaining_lease_mths = c(947,      960, 960, 956, 953, 930, 921, 993, 990, 1009, 970, 924, 928,      923, 930, 923, 911, 923, 918, 931), PROX_CBD = c(17.5852868111176,      17.5852868111176, 17.6410789876396, 17.6472423100513, 17.7412802518209,      17.9186379864086, 17.9386403893839, 17.8363687874637, 17.8363687874637,      17.8072819651564, 17.7083177660008, 18.0902268845521, 18.2095446148373,      17.9456645257603, 18.242108360018, 18.0569924715364, 18.2320763538069,      17.049182232397, 17.8728040148932, 17.1235753252943), PROX_ELDERLYCARE = c(0.979721953613503,      0.979721953613503, 0.969292416022308, 1.0260991137238, 1.00357172816211,      1.13507400842797, 0.714833653499633, 1.40920769604983, 1.40920769604983,      1.52664538751384, 0.378187975507624, 0.706169610995159, 1.17430183890643,      0.476454782767532, 1.08331104464233, 0.59750504274373, 0.927534095024191,      0.850080656271298, 0.330981516384048, 0.697818713768909),          PROX_HAWKER = c(0.300047945510982, 0.300047945510982,          0.270187519380927, 0.322354465675231, 0.286367973105455,          0.435091735724103, 0.201936965562497, 0.692541487012902,          0.692541487012902, 0.809141875883089, 0.340346390827249,          0.370412154176866, 0.579651089601917, 0.3648710200987,          0.548257960059823, 0.391180253405874, 0.493410913505403,          0.714958983882519, 0.446535534086157, 0.705945006380572         ), PROX_MRT = c(0.294966346549802, 0.294966346549802,          0.253083991654003, 0.296963624455722, 0.240079810641839,          0.364011265623101, 0.168914117564514, 0.634260663268818,          0.634260663268818, 0.753928873695942, 0.403335562748004,          0.341202563029131, 0.501132314022455, 0.385567417899789,          0.47401652613315, 0.384524332485438, 0.433316978327494,          0.785333186388227, 0.4868918768976, 0.782769723074986         ), PROX_PARK = c(2.22462050149276, 2.22462050149276,          2.26013213847351, 2.2163258228061, 2.28949331488756,          2.31505119222808, 1.99379565561889, 2.04440878541867,          2.04440878541867, 1.93736074272598, 1.86766019581863,          1.8531048262974, 2.25371860749481, 1.76180373116006,          2.12857307310705, 1.77011013021076, 1.96114614265628,          2.39009267562017, 1.69875568186822, 2.27471658155514),          PROX_GOOD_PRISCH = c(8.05369522760851, 8.05369522760851,          8.10977708422392, 8.10862356805264, 8.20478390995202,          8.3676789538936, 8.4444135457925, 8.25468587074647, 8.25468587074647,          8.21423979230025, 8.26299778187914, 8.60631027953587,          8.6635222339794, 8.49089982759618, 8.71021480286832,          8.58956131155308, 8.72297519828522, 7.5878538843241,          8.43952013253886, 7.68854504458572), PROX_MALL = c(0.237472256939882,          0.237472256939882, 0.204458422444813, 0.255877276101632,          0.222110908162432, 0.384238747959315, 0.238372860218233,          0.630636123898788, 0.630636123898788, 0.745769461616378,          0.335143296665789, 0.342860958869265, 0.468966497593582,          0.428159644756295, 0.347669457974494, 0.407254736414821,          0.22704735136933, 0.718658142186859, 0.330972758922268,          0.614584601713128), PROX_CHAS = c(0.145295883687343,          0.145295883687343, 0.201289943337815, 0.212266026856788,          0.222110881748482, 0.360842629752134, 0.076984763134016,          0.221589023831152, 0.221589023831152, 0.195830090979757,          0.30242004444134, 0.209799590563819, 0.3998394205418,          0.218909691095897, 0.274735402884708, 0.222103720735081,          0.11607611654581, 0.13498084818294, 0.330972805611547,          0.076148424020495), PROX_SUPERMARKET = c(0.237470779768967,          0.237470779768967, 0.204457160029983, 0.255876154174577,          0.222110358133712, 0.360842909613722, 0.171190500184261,          0.22158921197453, 0.22158921197453, 0.265666518411173,          0.332189289926598, 0.342860053820009, 0.402574253870019,          0.365864675212809, 0.347668959247477, 0.385535197909366,          0.227046556279957, 0.397684558683682, 0.300218301814749,          0.307215454393191), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L,          2L, 2L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L,          5L, 6L, 5L, 1L, 6L, 3L, 3L, 2L, 6L, 6L, 2L, 3L, 3L, 4L,          5L, 12L, 4L, 5L), WITHIN_350M_BUS = c(15L, 15L, 15L,          13L, 16L, 11L, 8L, 6L, 6L, 4L, 7L, 7L, 8L, 8L, 7L, 9L,          10L, 8L, 8L, 11L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          4L, 4L, 3L, 5L, 3L, 3L, 3L, 5L, 5L, 4L, 6L, 4L, 6L, 4L,          2L, 7L, 4L), DNeighbour = c(0, 9.04889972229672, 60.3744832744266,          82.1314963015359, 158.5901696556, 364.796990883953, 462.203620639172,          494.424748310959, 503.839384716276, 595.520344489043,          597.875287391626, 633.613806997553, 634.038436282934,          658.379936313399, 664.391742119659, 680.822657158663,          681.518080398694, 684.387085331353, 735.886344665452,          744.380743406638)), row.names = c("800", "224", "615",      "554", "242", "590", "638", "118", "391", "358", "544", "74",      "243", "20", "608", "491", "443", "520", "992", "871"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999704471617312, 0.986886586190567, 0.975800432604506,      0.91127983600897, 0.577347110678258, 0.377553472450826, 0.312286233891611,      0.293617112640356, 0.129575626566374, 0.125949893944076,      0.0758813012140196, 0.075347043585083, 0.0474014582859894,      0.0413582116828899, 0.026724820995596, 0.0261687183066527,      0.0239305948288187, 0.000514949848700698, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       294712245 
R squared (OOB):                  0.1174612 

$Forests[[801]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(678000, 451000, 290000,      488000, 620000, 385000, 465000, 545000, 660000, 560000, 580000,      705000, 708000, 515000, 418000, 409500, 538000, 380000, 520000,      416000), floor_area_sqm = c(92, 83, 87, 104, 103, 93, 91,      101, 105, 105, 90, 90, 90, 84, 84, 84, 90, 89, 107, 91),          storey_order = c(3L, 8L, 1L, 1L, 4L, 1L, 2L, 1L, 6L,          2L, 5L, 7L, 5L, 4L, 3L, 3L, 5L, 5L, 2L, 4L), remaining_lease_mths = c(1103,          604, 643, 776, 742, 772, 764, 938, 748, 913, 1035, 1041,          1031, 804, 804, 807, 995, 653, 892, 713), PROX_CBD = c(3.93031212371417,          3.63056019358172, 4.35364804731157, 4.16405648472164,          3.79744534670369, 4.25035751849909, 4.28329341592686,          3.59494173601466, 3.5952466633456, 3.91005014077452,          3.73787601157873, 3.66612298934168, 3.56091441303422,          3.75781957676323, 4.20973993763024, 4.20973993763024,          4.4759193492502, 4.19301197437796, 4.23142849537126,          5.10609859014938), PROX_ELDERLYCARE = c(0.159701117649001,          0.124703716495981, 0.402111762367986, 0.434539750657667,          0.296175206272889, 0.411587417191489, 0.4193003334471,          0.692364880740494, 0.354500614782039, 0.449207181019876,          0.836612932336762, 0.851600940224316, 0.885388735780595,          0.582389211118023, 0.156291063754703, 0.156291063754703,          0.136621520737764, 1.05465194719342, 0.272010492111063,          0.320090253923576), PROX_HAWKER = c(0.374782156946409,          0.0619655343942362, 0.52502919100195, 0.502732414569621,          0.300770398866256, 0.610932712322496, 0.638679046714181,          0.142789347249218, 0.311385334077859, 0.464701711390969,          0.15676751515481, 0.157376553669701, 0.210501859943959,          0.393163811818296, 0.46881842734995, 0.46881842734995,          0.736355433757935, 0.297392426102438, 0.392124905911543,          0.333568708255903), PROX_MRT = c(0.57487373386568, 0.188513622979597,          0.698417082344063, 0.518003091395578, 0.195276091150508,          0.605174310138743, 0.637237645879563, 0.346622733589529,          0.16267041353008, 0.361698258812245, 0.349678715281184,          0.281331556481731, 0.1853881461208, 0.434583879195091,          0.750034220630686, 0.750034220630686, 0.930431293452388,          0.670866804568908, 0.870814763860364, 0.549226257235714         ), PROX_PARK = c(0.43227753152338, 0.634729277660292,          0.0959047492621704, 0.269719137898212, 0.620239922284967,          0.346786980248178, 0.336599362476296, 1.03638785093261,          0.796125682214674, 0.651892034671684, 1.14436990313984,          1.07330463343821, 0.969171323132551, 0.885911587583127,          0.828179073128827, 0.828179073128827, 0.786607284590569,          1.34668044149268, 0.989030190878471, 0.534309547143458         ), PROX_GOOD_PRISCH = c(4.55218800106713, 4.47678155678584,          4.11088283479722, 3.99853475328204, 4.13618512399158,          3.87277035706644, 3.85984302070176, 4.68517728936996,          4.26949140427292, 3.96984616110429, 4.42346384619917,          4.46068770698473, 4.51522724145722, 3.98479480133756,          3.58178441884724, 3.58178441884724, 3.43096694593549,          4.04417128338034, 3.47561641519302, 3.68539306501406),          PROX_MALL = c(1.09934779211931, 0.917363569028491, 0.801857467962545,          1.00998414702412, 1.16769889708728, 0.955673327573223,          0.92062293894618, 0.814872047472938, 0.962766222186716,          1.2652175398851, 1.03774509228272, 0.971442928620489,          0.87678025015548, 1.1081035152608, 1.26743973989934,          1.26743973989934, 1.02435160052226, 1.51326780463499,          1.1888213641646, 1.13513631747826), PROX_CHAS = c(0.304936065418075,          0.112941217538546, 0.130252709580884, 0.147909276913635,          0.121619853002556, 0.260827480873255, 0.285886541141976,          0.0573592222158038, 0.0963682910788478, 0.108899254787234,          0.0809467071188201, 0.108213750221125, 0.0998361253719761,          0.345906079563203, 0.163154212627783, 0.163154212627783,          0.105578702221058, 0.212246176955017, 0.106822211501606,          0.37199840586913), PROX_SUPERMARKET = c(0.35411008396507,          0.0867224629960944, 0.591301773724787, 0.506391752127701,          0.191561540751545, 0.512280309006142, 0.506434284786685,          0.0573596645426592, 0.269187390315468, 0.115229795891962,          0.184584314799668, 0.131005301990959, 0.103744685928207,          0.128350069204848, 0.118448079318654, 0.118448079318654,          0.0670716613901785, 0.306178228663922, 0.139079920157556,          0.424647979009491), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L,          1L, 0L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(3L, 5L,          4L, 6L, 4L, 5L, 4L, 3L, 4L, 4L, 3L, 3L, 3L, 4L, 3L, 3L,          2L, 1L, 6L, 4L), WITHIN_350M_BUS = c(5L, 4L, 6L, 5L,          5L, 5L, 5L, 4L, 6L, 5L, 7L, 7L, 9L, 3L, 7L, 7L, 5L, 5L,          7L, 4L), WITHIN_1KM_PRISCH = c(1L, 2L, 2L, 3L, 2L, 3L,          3L, 0L, 2L, 2L, 0L, 0L, 0L, 2L, 3L, 3L, 3L, 1L, 2L, 3L         ), DNeighbour = c(0, 440.003354843065, 504.299598877835,          568.30901294956, 677.63755115627, 699.553513874305, 706.6942768651,          729.065090746023, 757.692883605033, 791.92825425074,          906.561294733268, 912.958776166745, 929.56869059402,          982.75227327578, 1107.09994931471, 1108.78586124956,          1149.07879475962, 1177.94617633115, 1271.07620735585,          1785.11822998392)), row.names = c("801", "237", "532",      "223", "952", "19", "747", "997", "699", "176", "823", "903",      "881", "234", "907", "382", "411", "993", "849", "853"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.882182226378753, 0.846754382944743, 0.807567055993416,      0.732566526640106, 0.716442828842335, 0.711118264299969,      0.694220581733673, 0.672141656965853, 0.645121059510924,      0.550704447789065, 0.545296269383842, 0.531204669706875,      0.485700535490896, 0.378684011951507, 0.377242550956804,      0.342987814453748, 0.31874089721465, 0.243047561919355, 0     ), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8964212313 
R squared (OOB):                  0.352488 

$Forests[[802]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(440000, 582000, 450000,      538000, 515000, 310000, 330000, 465000, 385000, 418000, 290000,      409500, 520000, 488000, 470000, 445000, 680000, 560000, 475000,      515000), floor_area_sqm = c(93, 104, 104, 90, 110, 82, 82,      91, 93, 84, 87, 84, 107, 104, 84, 84, 76, 105, 89, 103),          storey_order = c(3L, 3L, 1L, 5L, 1L, 5L, 4L, 2L, 1L,          3L, 1L, 3L, 2L, 1L, 3L, 3L, 11L, 2L, 1L, 3L), remaining_lease_mths = c(759,          935, 828, 995, 859, 656, 657, 764, 772, 804, 643, 807,          892, 776, 813, 647, 1071, 913, 789, 823), PROX_CBD = c(5.4791067318598,          5.4901102241405, 5.12061996426338, 4.4759193492502, 5.31333197008925,          5.9699685911294, 6.06674643703895, 4.28329341592686,          4.25035751849909, 4.20973993763024, 4.35364804731157,          4.20973993763024, 4.23142849537126, 4.16405648472164,          6.30150758144434, 4.82546817648507, 5.17664618337401,          3.91005014077452, 7.05609226259357, 6.41432963568309),          PROX_ELDERLYCARE = c(0.505585511375112, 0.157919913507301,          0.279354008399566, 0.136621520737764, 0.301885421229742,          4.28110190953706e-07, 0.10409496222889, 0.4193003334471,          0.411587417191489, 0.156291063754703, 0.402111762367986,          0.156291063754703, 0.272010492111063, 0.434539750657667,          0.0580157957368266, 0.401252043911139, 0.203403853153192,          0.449207181019876, 1.59520672965634, 0.101150617829923         ), PROX_HAWKER = c(0.736115689949186, 0.258924665495,          0.158729667464322, 0.736355433757935, 0.15027253820603,          0.247906315943116, 0.346985863757343, 0.638679046714181,          0.610932712322496, 0.46881842734995, 0.52502919100195,          0.46881842734995, 0.392124905911543, 0.502732414569621,          0.511576723994062, 0.33634581375869, 0.242990200436355,          0.464701711390969, 1.17571504816288, 0.639366917684312         ), PROX_MRT = c(0.797555156120123, 1.30755754576723,          1.12797954219589, 0.930431293452388, 0.839256513816073,          1.03854772657135, 1.1005845300218, 0.637237645879563,          0.605174310138743, 0.750034220630686, 0.698417082344063,          0.750034220630686, 0.870814763860364, 0.518003091395578,          0.911216039334219, 0.437510974512092, 0.347215067697513,          0.361698258812245, 0.487588773645627, 0.753240517287136         ), PROX_PARK = c(0.728040918615253, 0.803347187860442,          1.12857946410316, 0.786607284590569, 0.919693677764514,          0.792968228054446, 0.741200181243785, 0.336599362476296,          0.346786980248178, 0.828179073128827, 0.0959047492621704,          0.828179073128827, 0.989030190878471, 0.269719137898212,          0.950460734805334, 0.386749503328341, 0.502895249788983,          0.651892034671684, 0.288106802683489, 0.941128983241434         ), PROX_GOOD_PRISCH = c(2.93310132502147, 2.45379201830723,          2.70116277997296, 3.43096694593549, 2.32631552336422,          1.89588922913119, 1.85819018299306, 3.85984302070176,          3.87277035706644, 3.58178441884724, 4.11088283479722,          3.58178441884724, 3.47561641519302, 3.99853475328204,          1.50990256016426, 2.65585299610189, 2.27859573799937,          3.96984616110429, 2.64150694603645, 1.35156641752108),          PROX_MALL = c(0.719613179783111, 1.21674302842157, 1.02774547618649,          1.02435160052226, 0.752077094160308, 1.25835483053691,          1.22044581333525, 0.92062293894618, 0.955673327573223,          1.26743973989934, 0.801857467962545, 1.26743973989934,          1.1888213641646, 1.00998414702412, 0.872189526609738,          0.337875853585261, 0.285366785950761, 1.2652175398851,          0.487675149993812, 0.713954983197348), PROX_CHAS = c(0.0706483510319072,          0.233242749827373, 0.193072984237221, 0.105578702221058,          0.111194343620761, 0.21461630683628, 0.252393584019624,          0.285886541141976, 0.260827480873255, 0.163154212627783,          0.130252709580884, 0.163154212627783, 0.106822211501606,          0.147909276913635, 0.0940735950578242, 0.315432137833306,          0.0737889624358689, 0.108899254787234, 0.464118937564998,          0.15014885052256), PROX_SUPERMARKET = c(0.0706487501399716,          0.37596142908425, 0.198191070641627, 0.0670716613901785,          0.370675298005651, 0.227231659318009, 0.321431524942613,          0.506434284786685, 0.512280309006142, 0.118448079318654,          0.591301773724787, 0.118448079318654, 0.139079920157556,          0.506391752127701, 0.469210677159174, 0.0907256678718214,          0.177322353300672, 0.115229795891962, 0.438288204779491,          0.519047869620273), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L,          0L, 1L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(2L, 3L,          4L, 2L, 3L, 2L, 2L, 4L, 5L, 3L, 4L, 3L, 6L, 6L, 4L, 2L,          7L, 4L, 3L, 4L), WITHIN_350M_BUS = c(3L, 10L, 9L, 5L,          12L, 8L, 6L, 5L, 5L, 7L, 6L, 7L, 7L, 5L, 7L, 8L, 9L,          5L, 5L, 7L), WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 3L, 3L,          4L, 5L, 3L, 3L, 3L, 2L, 3L, 2L, 3L, 4L, 2L, 4L, 2L, 2L,          3L), DNeighbour = c(0, 600.532331750853, 720.59234407763,          1027.24499265667, 1045.74890672807, 1056.34328798708,          1079.42305248544, 1220.96066368309, 1253.2460189545,          1305.96835455078, 1309.97503757337, 1311.61560487147,          1338.25316703279, 1366.08156401275, 1427.75139172425,          1457.31162197619, 1549.95655835616, 1573.91305465716,          1579.35780268389, 1579.86675085443)), row.names = c("802",      "307", "646", "411", "279", "920", "628", "747", "19", "907",      "532", "382", "849", "223", "417", "288", "897", "176", "449",      "114"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.731900730809608,      0.627207072861501, 0.333191117705708, 0.315685507701598,      0.305738747973351, 0.284288930480968, 0.162200619563354,      0.1374464039062, 0.10028596695729, 0.0976439629663537, 0.096570043729028,      0.0797934287727654, 0.0636683549310736, 0.0335977109270193,      0.0222393322157641, 0.0014066829402723, 5.65918952669736e-05,      4.14979143942493e-07, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7375401893 
R squared (OOB):                  0.169588 

$Forests[[803]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 302500, 275000,      315000, 313000, 318000, 315000, 310000, 315000, 402000, 320800,      327000, 355000, 340000, 370000, 358000, 310000, 355000, 310000,      387008), floor_area_sqm = c(93, 93, 84, 104, 84, 84, 97,      96, 91, 93, 92, 84, 93, 91, 93, 91, 91, 104, 84, 97), storey_order = c(3L,      2L, 1L, 4L, 4L, 1L, 3L, 1L, 3L, 4L, 1L, 1L, 4L, 2L, 1L, 1L,      3L, 4L, 3L, 2L), remaining_lease_mths = c(762, 764, 807,      777, 772, 785, 746, 772, 774, 762, 965, 802, 761, 782, 782,      760, 774, 814, 806, 775), PROX_CBD = c(15.7384939989151,      15.7384939989151, 15.555826242216, 15.5029529482698, 15.5029529482698,      15.4237712873611, 16.179026897848, 16.0124832316584, 16.1626205207603,      15.8715793299193, 16.3149444157129, 15.395293903354, 16.1297617902268,      16.0688727275577, 15.9422949327985, 15.6053010835868, 16.3680873997092,      14.9797222810306, 16.5546706157429, 15.8742411347238), PROX_ELDERLYCARE = c(1.81389464514152,      1.81389464514152, 1.98144426857027, 1.60634233373903, 1.60634233373903,      1.66429806880172, 1.73064849730919, 1.41328722649904, 1.55788424655444,      1.28212929908789, 1.76400828031834, 1.48326161455178, 1.29938230642316,      1.20623153653763, 1.09392979000114, 1.18278326755006, 1.42545230549203,      1.40865121451131, 1.28388145020366, 0.784609866943175), PROX_HAWKER = c(0.367446283592148,      0.367446283592148, 0.587918588004233, 0.592613874358246,      0.592613874358246, 0.663653920640621, 0.141690035201285,      0.231474226543029, 0.113648031708615, 0.428166805124, 0.267171899978326,      0.763118949388798, 0.335840869363962, 0.426544691499688,      0.571238530927929, 0.745618024005524, 0.369132496020862,      1.17708155532767, 0.634516033073404, 0.921851461637316),          PROX_MRT = c(0.817431272071058, 0.817431272071058, 0.961984472446029,          0.579811001445256, 0.579811001445256, 0.641519249244255,          0.887672461516919, 0.526610558032509, 0.733071345608223,          0.326170963259121, 0.980548762507945, 0.486709870425329,          0.514969181151661, 0.406145228037129, 0.22642613478059,          0.180817781363956, 0.767751604782153, 0.541117453484526,          0.786543604226707, 0.243577544220952), PROX_PARK = c(0.197322246351151,          0.197322246351151, 0.155244626205508, 0.518465718930498,          0.518465718930498, 0.527546900647844, 0.539742315344257,          0.641040622161513, 0.622244080025509, 0.729541055973412,          0.504828773517413, 0.736647900507106, 0.709135847201637,          0.697314652170583, 0.749126986336644, 0.580682002012541,          0.655349613079545, 0.869949400509587, 0.413578796610442,          0.457440234531046), PROX_GOOD_PRISCH = c(6.09593783675615,          6.09593783675615, 5.90755023148013, 5.8805780078001,          5.8805780078001, 5.79932453842233, 6.53838177865997,          6.39414010271149, 6.53246509089368, 6.26806838260706,          6.672975925328, 5.79164197089728, 6.52049985370614, 6.46919552361138,          6.35759010380229, 6.02648848177283, 6.74866006620563,          5.38873705701154, 6.95112153433386, 6.33578781760894),          PROX_MALL = c(0.906877360376741, 0.906877360376741, 1.05229171505891,          0.667352945771092, 0.667352945771092, 0.726704111983395,          0.960112961135972, 0.598952481573277, 0.800586392071248,          0.405953132327172, 0.965701391482886, 0.561468969675593,          0.568960814514176, 0.45653839484425, 0.275355858531219,          0.252610517585887, 0.812249060303789, 0.857174016474006,          0.809678350084408, 0.159478773824134), PROX_CHAS = c(0.184740133551779,          0.184740133551779, 0.0651877268759985, 0.128101303359069,          0.128101303359069, 0.11942955396425, 0.0821179618758864,          0.191204296760245, 0.107377285719627, 0.170717118999449,          0.215258950862385, 0.1019571402223, 0.215228497760129,          0.123235071398074, 0.101928728560798, 0.0925674017483885,          0.317481852326526, 0.0593781975043205, 0.102023856475547,          0.159478805927642), PROX_SUPERMARKET = c(0.287892528450529,          0.287892528450529, 0.511049564140858, 0.314517101025506,          0.314517101025506, 0.307102160965552, 0.224545288466622,          0.214004200599592, 0.191669323632479, 0.323117190327721,          0.357579925001748, 0.0953919744611677, 0.353026966783941,          0.399183655269817, 0.218983947734938, 0.188530812320699,          0.442251956603444, 0.101389584423307, 0.57240719914765,          0.159478664733051), WITHIN_350M_KINDERGARTEN = c(3L,          3L, 1L, 1L, 1L, 1L, 3L, 3L, 3L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(7L, 7L,          6L, 2L, 2L, 3L, 3L, 4L, 5L, 2L, 1L, 2L, 3L, 3L, 2L, 5L,          2L, 3L, 2L, 5L), WITHIN_350M_BUS = c(10L, 10L, 7L, 10L,          10L, 11L, 8L, 8L, 9L, 8L, 8L, 9L, 8L, 9L, 8L, 10L, 8L,          10L, 10L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 1L, 3L,          3L, 4L, 3L, 4L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,          5L, 6L), DNeighbour = c(0, 5.29913285176756, 214.863706875581,          371.81286476611, 372.523632423175, 404.930732357807,          450.108162070176, 459.594613889282, 485.995531500038,          537.553892057232, 578.348469249525, 588.507875968305,          612.782062962953, 658.133962474237, 721.376764815524,          723.937797658592, 737.606265613195, 941.851886816575,          989.829902114465, 1046.48492755803)), row.names = c("803",      "437", "426", "162", "587", "293", "336", "740", "335", "294",      "980", "556", "184", "804", "708", "143", "198", "984", "22",      "83"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999948717630013,      0.917464983861223, 0.763463708164335, 0.762619722371123,      0.722966871556648, 0.664227712780384, 0.651445054294878,      0.615166647938104, 0.541898067235092, 0.48242598673602, 0.467506027013034,      0.431802564904595, 0.365402454882738, 0.275435812839504,      0.271899497082924, 0.253208338161866, 0.0360899009293024,      0.0110977468912643, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       470997524 
R squared (OOB):                  0.514542 

$Forests[[804]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 355000, 370000,      402000, 310000, 315000, 310000, 416000, 358000, 310000, 350000,      387008, 315000, 320800, 315000, 313000, 320000, 302500, 327000,      338000), floor_area_sqm = c(91, 93, 93, 93, 96, 91, 91, 98,      91, 84, 91, 97, 97, 92, 104, 84, 93, 93, 84, 93), storey_order = c(2L,      4L, 1L, 4L, 1L, 3L, 3L, 4L, 1L, 3L, 1L, 2L, 3L, 1L, 4L, 4L,      3L, 2L, 1L, 3L), remaining_lease_mths = c(782, 761, 782,      762, 772, 774, 774, 779, 760, 806, 957, 775, 746, 965, 777,      772, 762, 764, 802, 778), PROX_CBD = c(16.0688727275577,      16.1297617902268, 15.9422949327985, 15.8715793299193, 16.0124832316584,      16.1626205207603, 16.3680873997092, 16.1674221276903, 15.6053010835868,      16.5546706157429, 16.4034806336055, 15.8742411347238, 16.179026897848,      16.3149444157129, 15.5029529482698, 15.5029529482698, 15.7384939989151,      15.7384939989151, 15.395293903354, 16.3741208173644), PROX_ELDERLYCARE = c(1.20623153653763,      1.29938230642316, 1.09392979000114, 1.28212929908789, 1.41328722649904,      1.55788424655444, 1.42545230549203, 0.762025473923165, 1.18278326755006,      1.28388145020366, 0.839978570407226, 0.784609866943175, 1.73064849730919,      1.76400828031834, 1.60634233373903, 1.60634233373903, 1.81389464514152,      1.81389464514152, 1.48326161455178, 0.617661573186221), PROX_HAWKER = c(0.426544691499688,      0.335840869363962, 0.571238530927929, 0.428166805124, 0.231474226543029,      0.113648031708615, 0.369132496020862, 0.872582424517839,      0.745618024005524, 0.634516033073404, 0.889236545198411,      0.921851461637316, 0.141690035201285, 0.267171899978326,      0.592613874358246, 0.592613874358246, 0.367446283592148,      0.367446283592148, 0.763118949388798, 1.08852003222566),          PROX_MRT = c(0.406145228037129, 0.514969181151661, 0.22642613478059,          0.326170963259121, 0.526610558032509, 0.733071345608223,          0.767751604782153, 0.447065767326062, 0.180817781363956,          0.786543604226707, 0.660139833101166, 0.243577544220952,          0.887672461516919, 0.980548762507945, 0.579811001445256,          0.579811001445256, 0.817431272071058, 0.817431272071058,          0.486709870425329, 0.70945464840636), PROX_PARK = c(0.697314652170583,          0.709135847201637, 0.749126986336644, 0.729541055973412,          0.641040622161513, 0.622244080025509, 0.655349613079545,          0.490935310554108, 0.580682002012541, 0.413578796610442,          0.251028276822116, 0.457440234531046, 0.539742315344257,          0.504828773517413, 0.518465718930498, 0.518465718930498,          0.197322246351151, 0.197322246351151, 0.736647900507106,          0.371358045807383), PROX_GOOD_PRISCH = c(6.46919552361138,          6.52049985370614, 6.35759010380229, 6.26806838260706,          6.39414010271149, 6.53246509089368, 6.74866006620563,          6.62018800412964, 6.02648848177283, 6.95112153433386,          6.84769610957781, 6.33578781760894, 6.53838177865997,          6.672975925328, 5.8805780078001, 5.8805780078001, 6.09593783675615,          6.09593783675615, 5.79164197089728, 6.84990365493624),          PROX_MALL = c(0.45653839484425, 0.568960814514176, 0.275355858531219,          0.405953132327172, 0.598952481573277, 0.800586392071248,          0.812249060303789, 0.402318259451987, 0.252610517585887,          0.809678350084408, 0.630333401213655, 0.159478773824134,          0.960112961135972, 0.965701391482886, 0.667352945771092,          0.667352945771092, 0.906877360376741, 0.906877360376741,          0.561468969675593, 0.523710338103731), PROX_CHAS = c(0.123235071398074,          0.215228497760129, 0.101928728560798, 0.170717118999449,          0.191204296760245, 0.107377285719627, 0.317481852326526,          0.277543603442508, 0.0925674017483885, 0.102023856475547,          0.142060383584178, 0.159478805927642, 0.0821179618758864,          0.215258950862385, 0.128101303359069, 0.128101303359069,          0.184740133551779, 0.184740133551779, 0.1019571402223,          0.0863783451683255), PROX_SUPERMARKET = c(0.399183655269817,          0.353026966783941, 0.218983947734938, 0.323117190327721,          0.214004200599592, 0.191669323632479, 0.442251956603444,          0.277543419111335, 0.188530812320699, 0.57240719914765,          0.142061131074292, 0.159478664733051, 0.224545288466622,          0.357579925001748, 0.314517101025506, 0.314517101025506,          0.287892528450529, 0.287892528450529, 0.0953919744611677,          0.0863776808909183), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 3L, 3L, 1L, 1L, 1L, 2L, 2L, 0L, 3L, 1L, 1L,          1L, 3L, 3L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          2L, 2L, 4L, 5L, 2L, 3L, 5L, 2L, 3L, 5L, 3L, 1L, 2L, 2L,          7L, 7L, 2L, 4L), WITHIN_350M_BUS = c(9L, 8L, 8L, 8L,          8L, 9L, 8L, 6L, 10L, 10L, 7L, 8L, 8L, 8L, 10L, 10L, 10L,          10L, 9L, 4L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L,          4L, 4L, 5L, 4L, 5L, 4L, 6L, 3L, 3L, 3L, 3L, 3L, 3L, 4L,          4L), DNeighbour = c(0, 113.841504447545, 176.609318763439,          200.459646615723, 211.091867172531, 367.366287845581,          368.254236635, 448.274677443787, 484.87076669527, 484.909497350161,          515.761342884613, 515.810560104803, 537.244107630887,          600.603321599447, 623.301901866756, 624.65809247927,          658.133962474237, 658.611567607637, 675.343010299403,          689.40135090009)), row.names = c("804", "184", "708",      "294", "740", "335", "198", "351", "143", "22", "206", "83",      "336", "980", "162", "587", "803", "437", "556", "788"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.946207090966859, 0.873052784911473, 0.838050110907963,      0.821278315785521, 0.512715929605245, 0.510749633532016,      0.333149529068787, 0.25536742377571, 0.255287557633935, 0.193866349689597,      0.193772290582678, 0.154217924054853, 0.0580899097166156,      0.0333303812513129, 0.0320428110430721, 0.00785913967787649,      0.00762628186380976, 0.00162960451372978, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       661225210 
R squared (OOB):                  0.4016813 

$Forests[[805]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 431000, 425000,      426000, 395000, 410000, 420000, 428000, 325000, 3e+05, 360000,      333000, 330000, 295000, 355000, 285000, 308000, 292000, 330000,      3e+05), floor_area_sqm = c(92, 92, 92, 92, 90, 92, 90, 90,      84, 84, 99, 103, 103, 106, 103, 92, 84, 104, 103, 99), storey_order = c(4L,      9L, 6L, 6L, 5L, 2L, 8L, 8L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 1L,      1L, 2L, 2L, 1L), remaining_lease_mths = c(1010, 1010, 1006,      1012, 1010, 1004, 1011, 1008, 783, 797, 796, 788, 800, 825,      793, 697, 795, 828, 937, 697), PROX_CBD = c(14.0603534116893,      14.0603534116893, 14.0603534116893, 14.0324943086614, 13.990153115514,      14.000256381606, 13.8798013735997, 13.8412030491349, 14.1279251783367,      14.3169519114025, 13.8977069202737, 14.3532733654858, 13.46147060752,      14.7220636963442, 13.46147060752, 14.6519123293037, 13.3304860768802,      15.1374510187917, 14.5165027597446, 14.8036441916204), PROX_ELDERLYCARE = c(1.50084223071099,      1.50084223071099, 1.50084223071099, 1.51384309451853, 1.56992496550613,      1.50178268661881, 1.77270985488013, 1.74703283433278, 1.66641228888996,      1.55261218152075, 1.56746404607568, 1.6760601574403, 1.01995663096129,      0.327768156942021, 1.01995663096129, 0.254409923718011, 0.85382998667073,      0.426629771798313, 0.389463724969334, 0.0965145667339982),          PROX_HAWKER = c(1.69193386873811, 1.69193386873811, 1.69193386873811,          1.73133481154049, 1.69002608854433, 1.77005964815816,          1.47024255459416, 1.43519165592487, 1.24304803992561,          1.19367588944735, 1.04237506554324, 0.99569743308136,          1.03983060555389, 1.39864823048803, 1.03983060555389,          1.21550185558774, 1.09459947163448, 1.49196951764411,          1.0617726338971, 1.07372228066705), PROX_MRT = c(0.836549486170002,          0.836549486170002, 0.836549486170002, 0.85175230125279,          0.789673249073619, 0.865600228728207, 0.523014705157119,          0.462396576385451, 0.59155533687368, 0.753004841751307,          0.300373388684648, 0.756418829435307, 0.367668143276235,          0.0523025726452692, 0.367668143276235, 0.218405848235923,          0.525688124362732, 0.164193456307044, 0.0901878473788138,          0.363746184676816), PROX_PARK = c(0.66093693759156, 0.66093693759156,          0.66093693759156, 0.65310707550057, 0.716145735764812,          0.652876507033438, 0.782127938386311, 0.752068597068081,          1.00515750023779, 1.00962818739137, 0.782220037546154,          1.20426051281307, 0.582693033366388, 0.432331111477529,          0.582693033366388, 0.325486875199719, 0.620743454357064,          0.786093050092807, 0.278686390612803, 0.497172938499345         ), PROX_GOOD_PRISCH = c(4.09775909461572, 4.09775909461572,          4.09775909461572, 4.07805978762992, 4.0269654833207,          4.05408625233137, 3.87304276717541, 3.82728738248792,          4.09179045416031, 4.27446656255715, 3.83525569342672,          4.29145341198416, 3.38131302543864, 4.99661753747661,          3.38131302543864, 4.99149337529414, 3.24954726475941,          5.37568176340172, 4.93093863547281, 5.17691715074399),          PROX_MALL = c(1.38265334141638, 1.38265334141638, 1.38265334141638,          1.34360210764349, 1.32125061115982, 1.30130189944441,          1.33861894221302, 1.33339622609195, 1.48884664162065,          1.50622914679999, 1.14150204308926, 1.45738633765159,          0.644549177151603, 0.343882807046916, 0.644549177151603,          0.377416550632833, 0.513372166694422, 0.249545786638779,          0.38830118917563, 0.278400001713995), PROX_CHAS = c(0.266609427013402,          0.266609427013402, 0.266609427013402, 0.288579392766018,          0.231188025602735, 0.313291309929199, 0.058882652003164,          0.116038559859119, 0.283027750434604, 0.149961616171305,          0.162936326565904, 0.0428610630237518, 0.348399033159575,          0.141205029857343, 0.348399033159575, 0.0736014920224838,          0.472814153962233, 0.193150290660334, 0.0918929757518676,          0.190291087196022), PROX_SUPERMARKET = c(0.266609427014493,          0.266609427014493, 0.266609427014493, 0.288579392767071,          0.231188025603748, 0.313291309930196, 0.0588826520022197,          0.116038559858059, 0.283027750434408, 0.277976240278344,          0.162936951836525, 0.400567683079086, 0.356146193343619,          0.141204847242777, 0.356146193343619, 0.128878263549785,          0.510727353781082, 0.200567401454574, 0.354026220875794,          0.190291125096353), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 0L, 1L, 1L, 2L, 3L, 0L, 2L, 1L, 0L, 1L,          1L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L,          1L, 1L, 1L, 1L, 2L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L,          4L, 5L, 5L, 3L), WITHIN_350M_BUS = c(4L, 4L, 4L, 4L,          4L, 3L, 5L, 5L, 10L, 9L, 5L, 10L, 6L, 8L, 6L, 9L, 5L,          11L, 7L, 9L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L,          2L, 2L, 3L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 3L, 2L, 2L,          3L), DNeighbour = c(0, 1.84898643840949, 6.37323040949942,          40.8276676965593, 67.6314560536234, 93.7051863028554,          318.129018636661, 381.031940380444, 451.53504933581,          557.967803021688, 730.488719038526, 752.748242006909,          1199.35736026906, 1201.48663100581, 1207.397079033, 1328.48358913064,          1365.64393250194, 1438.7271881376, 1446.15677154023,          1510.17669970994)), row.names = c("805", "55", "241",      "675", "276", "726", "877", "678", "893", "650", "479", "697",      "526", "786", "332", "986", "61", "387", "592", "995"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999997001931226, 0.99996438033448, 0.998538748845417, 0.995992844336748,      0.992314628276499, 0.913216665371263, 0.876732430950323,      0.829196152169659, 0.745615913251773, 0.586792616493076,      0.564823130449637, 0.136362273782455, 0.134711846822742,      0.130168202228257, 0.051143765892024, 0.0332158342370912,      0.00853510176090577, 0.00688693754671687, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1104158933 
R squared (OOB):                  0.6171051 

$Forests[[806]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 390000, 295000,      325000, 325000, 310000, 370000, 350000, 320000, 323000, 385000,      370000, 420000, 380000, 420000, 343000, 345000, 345000, 336000,      335000), floor_area_sqm = c(104, 126, 105, 90, 104, 104,      103, 104, 106, 104, 104, 93, 92, 93, 93, 102, 103, 102, 104,      101), storey_order = c(4L, 2L, 1L, 4L, 1L, 1L, 4L, 2L, 1L,      3L, 1L, 1L, 6L, 1L, 3L, 5L, 5L, 2L, 4L, 2L), remaining_lease_mths = c(862,      879, 870, 912, 872, 879, 881, 863, 851, 956, 863, 1139, 1104,      1138, 1139, 935, 944, 935, 958, 933), PROX_CBD = c(16.2035530975804,      16.1769042321823, 16.027241877126, 16.3759795802925, 15.9652370890998,      15.9652370890998, 15.9139497277605, 15.9139497277605, 15.9983120826665,      16.3822081442679, 16.2492480828887, 15.8422849591204, 16.0058570800758,      15.9652529785268, 15.9652529785268, 15.6558233565228, 15.6615925135045,      16.0814208174046, 16.2237683329895, 16.135389698045), PROX_ELDERLYCARE = c(0.462412199513001,      0.382017171357745, 0.401697186037664, 0.437652472603004,      0.372962984236141, 0.372962984236141, 0.471057675436291,      0.471057675436291, 0.541237256511776, 0.317064501792404,      0.836071823435323, 0.241353796602158, 0.0922651494707867,      0.120425003900544, 0.120425003900544, 0.268146833149962,      0.372854461013726, 0.129424766752979, 0.233700982090528,      0.214357316635524), PROX_HAWKER = c(2.51024920878341, 2.55739022352562,      2.44772974464855, 2.71828200917597, 2.45115541279444, 2.45115541279444,      2.34701070601947, 2.34701070601947, 2.1818192257633, 2.76474077583521,      2.17952287051713, 2.37354129025836, 2.393526972262, 2.36922200206298,      2.36922200206298, 2.27183532495414, 2.39243139523594, 2.40830007300065,      2.48966457045008, 2.40272097648418), PROX_MRT = c(0.65447898159524,      0.674610535324426, 0.538616250543522, 0.870089952652958,      0.52727924180445, 0.52727924180445, 0.424613907535265, 0.424613907535265,      0.364450998520493, 1.02897813643603, 0.290093838525113, 0.721786411333246,      0.910164710677637, 0.886101680623091, 0.886101680623091,      0.370313443989706, 0.499275570100955, 1.00126993569874, 1.11461848888664,      1.09323648573999), PROX_PARK = c(1.32632916723033, 1.39748820590438,      1.35146177086674, 1.49155883505512, 1.39203600576681, 1.39203600576681,      1.30337713627377, 1.30337713627377, 1.05372411430502, 1.73717122008599,      0.886796559947336, 1.42084473696832, 1.6216647961598, 1.58077599563476,      1.58077599563476, 1.16446299803307, 1.19384102986047, 1.7154732425778,      1.86547668850022, 1.7942088991982), PROX_GOOD_PRISCH = c(6.27623366830878,      6.23706483495109, 6.09534233388474, 6.4246273009838, 6.02718330754398,      6.02718330754398, 5.99275530970335, 5.99275530970335, 6.12314921566155,      6.39421933734494, 6.4097782056775, 5.8611108446886, 6.00411547246196,      5.96493131981452, 5.96493131981452, 5.73062396037349, 5.71328270316738,      6.0710937852797, 6.20687623278084, 6.11593822040069), PROX_MALL = c(0.370949542105629,      0.292722816398213, 0.275346491924215, 0.409369768138594,      0.238316612740974, 0.238316612740974, 0.338688619983659,      0.338688619983659, 0.45623102577182, 0.374078152135628, 0.355568776497803,      0.177442774283774, 0.187934498474296, 0.18546430077947, 0.18546430077947,      0.155488337640192, 0.238209845871265, 0.261655001598387,      0.36788016328609, 0.350342319635), PROX_CHAS = c(0.370949494121523,      0.292722768811081, 0.275346446899555, 0.409369730284335,      0.238316573509266, 0.238316573509266, 0.338688583692834,      0.338688583692834, 0.290215734280461, 0.374078140160073,      0.121251060497272, 0.177442804982894, 0.187934543511456,      0.185464348558652, 0.185464348558652, 0.155488306171375,      0.238209795937414, 0.26165503944411, 0.367880188789974, 0.350342354631045     ), PROX_SUPERMARKET = c(0.235998227482853, 0.254565333705719,      0.141316208924405, 0.389543937857684, 0.177610526119132,      0.177610526119132, 0.112474666082431, 0.112474666082431,      0.162067612034701, 0.357574924056941, 0.350013224352412,      0.197153631350279, 0.197516435852273, 0.198556813498254,      0.198556813498254, 0.152010752053411, 0.238833101010687,      0.265481412722203, 0.364697803989784, 0.352223797136593),          WITHIN_350M_KINDERGARTEN = c(3L, 5L, 3L, 2L, 3L, 3L,          3L, 3L, 1L, 2L, 0L, 2L, 1L, 1L, 1L, 4L, 3L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 8L, 8L, 2L, 6L, 6L,          9L, 9L, 6L, 1L, 4L, 7L, 5L, 5L, 5L, 8L, 5L, 5L, 2L, 2L         ), WITHIN_350M_BUS = c(7L, 9L, 12L, 5L, 14L, 14L, 15L,          15L, 12L, 9L, 9L, 15L, 14L, 15L, 15L, 14L, 16L, 13L,          9L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L, 3L, 3L,          3L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L         ), DNeighbour = c(0, 74.8832134879892, 180.530524271838,          211.11642570366, 247.559559740898, 249.182432660457,          287.398903357274, 287.982141983026, 328.192796922477,          417.413775615737, 468.716557052544, 515.283921413757,          537.920913986588, 547.923111359679, 554.153653964881,          555.152151133609, 561.623174635762, 580.515649999062,          615.715248308829, 644.383401341553)), row.names = c("806",      "54", "463", "974", "566", "490", "927", "959", "888", "173",      "711", "585", "154", "913", "137", "450", "572", "890", "394",      "88"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.973173264322867,      0.84918125706101, 0.796844625429334, 0.726594823911248, 0.723288784822883,      0.641726911380145, 0.640432718128834, 0.548488865568746,      0.336853633312376, 0.221753535482141, 0.129998531162139,      0.0918912982167279, 0.0767177008689352, 0.0678305025405542,      0.0664481393913369, 0.0577783739596359, 0.0354965764470902,      0.00756887165340822, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1327019717 
R squared (OOB):                  -0.1294898 

$Forests[[807]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(458888, 460000, 450000,      455000, 468000, 420000, 422000, 510000, 485000, 452000, 460000,      440000, 475000, 430000, 426888, 425000, 390000, 382000, 323000,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      95, 92, 92, 92, 92, 92, 92, 92, 90, 86, 90, 90), storey_order = c(4L,      3L, 3L, 4L, 4L, 2L, 2L, 5L, 5L, 2L, 5L, 2L, 2L, 1L, 1L, 4L,      5L, 2L, 1L, 4L), remaining_lease_mths = c(1130, 1137, 1136,      1136, 1124, 1139, 1132, 1133, 1141, 1133, 1136, 1136, 1126,      1134, 1141, 988, 978, 989, 983, 973), PROX_CBD = c(12.6444338023734,      12.6444338023734, 12.6444338023734, 12.5530445309639, 12.5372560863306,      12.4951121122816, 12.6523002899419, 12.8180148044036, 12.8190940082697,      12.8941535537835, 12.5778468618744, 12.6445046545469, 12.6532888174316,      12.5852639843962, 12.5841594105866, 12.1902934701837, 12.4059518996545,      12.3082954752684, 12.0200214112876, 11.9491294576901), PROX_ELDERLYCARE = c(0.0933099122535032,      0.0933099122535032, 0.0933099122535032, 4.52036057904239e-07,      0.066903342124331, 0.0780281999502717, 0.17445131765005,      0.265081039187363, 0.268492105828742, 0.346816364720296,      0.25879478544564, 0.316798451576888, 0.373604611296459, 0.3637938018331,      0.419823195233641, 0.362754738306624, 0.404564014080405,      0.583230122785789, 0.618171206910468, 0.351349913726565),          PROX_HAWKER = c(0.0943584031018698, 0.0943584031018698,          0.0943584031018698, 0.183834631869038, 0.184899994018696,          0.227760265989261, 0.228019105088385, 0.116173376637396,          0.146347761938812, 0.172433027954251, 0.361759384229333,          0.385855619963418, 0.440383933038266, 0.45815519033126,          0.512822421809829, 0.536726116414185, 0.551023632791116,          0.732610931237137, 0.743318510800665, 0.693645859237657         ), PROX_MRT = c(0.135663244459145, 0.135663244459145,          0.135663244459145, 0.225183269009929, 0.250680884626282,          0.288636635543175, 0.189124878414716, 0.0414043955932523,          0.0524349257152741, 0.133852264483784, 0.325317058740364,          0.290856617513635, 0.24828698655044, 0.305105021876954,          0.285300897266269, 0.364194860258715, 0.467412150427879,          0.348338435446781, 0.291532437270123, 0.207404211118571         ), PROX_PARK = c(0.61385987529272, 0.61385987529272,          0.61385987529272, 0.665189387379371, 0.614568616662392,          0.64692671777276, 0.76865606278053, 0.594833919624026,          0.639036828502152, 0.541994755536806, 0.898636927133822,          0.927332929158558, 0.981635622560504, 0.998305920751222,          1.05356492524152, 0.883674706708426, 1.06942514246801,          1.248380402738, 0.871053837980522, 1.42337349535551),          PROX_GOOD_PRISCH = c(2.98554640042679, 2.98554640042679,          2.98554640042679, 2.90013878468328, 2.87119716545371,          2.83249303987555, 3.02962689364369, 3.15789060893291,          3.16783392704602, 3.22227453062783, 2.98751376551561,          3.06407026512831, 3.08870420529617, 3.02473222579279,          3.04090040576321, 2.54749739008747, 2.85954585658161,          2.82059786507503, 2.31713852475231, 2.48771655129493),          PROX_MALL = c(0.835997866672575, 0.835997866672575, 0.835997866672575,          0.801147315442336, 0.863947607104433, 0.848059510883206,          0.680457081346124, 0.881741038155881, 0.842111664425906,          0.965068597681967, 0.550769417999913, 0.525247230278188,          0.475487624694748, 0.450387082903272, 0.39575302739997,          0.835543217968543, 0.423524868376446, 0.312386349772529,          0.859289251142989, 0.591401580344059), PROX_CHAS = c(0.102096070463208,          0.102096070463208, 0.102096070463208, 0.0780281620295796,          0.0439945201117045, 3.19858778746232e-08, 0.162820120107843,          0.0772642002388838, 0.0812086980787344, 0.115846127710365,          0.236995708134403, 0.312339613016365, 0.362882313204726,          0.324614821605945, 0.369996201265779, 0.167384851183216,          0.187639553192951, 0.200650927390068, 0.310908028614088,          0.136369833447508), PROX_SUPERMARKET = c(0.102095775430648,          0.102095775430648, 0.102095775430648, 0.189775839444753,          0.218453608018692, 0.255060837787685, 0.162819600148508,          0.0772646744727167, 0.0812089624400091, 0.115845823699909,          0.299832635957983, 0.312339147167174, 0.36465940083402,          0.389269910824952, 0.385003628727568, 0.552359009160243,          0.375814638453933, 0.200651971059786, 0.507879796624066,          0.234851160706955), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L,          2L, 0L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(7L, 7L,          7L, 7L, 6L, 5L, 6L, 6L, 7L, 5L, 5L, 5L, 5L, 4L, 4L, 3L,          4L, 4L, 1L, 6L), WITHIN_350M_BUS = c(10L, 10L, 10L, 11L,          10L, 10L, 11L, 9L, 9L, 6L, 8L, 11L, 11L, 11L, 10L, 12L,          10L, 8L, 6L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          4L, 4L, 4L, 4L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 5L, 3L, 5L,          6L, 4L, 7L), DNeighbour = c(0, 1.22911439122745, 5.95631603919404,          95.8511056156397, 113.45585569553, 149.076314379143,          160.266425555627, 174.004818571322, 187.336830523709,          251.932873908406, 281.311211663856, 317.511237484364,          378.356205873454, 384.104895691159, 437.492624499619,          449.842484637531, 459.383167763576, 637.28797977783,          689.377358393086, 877.664570571244)), row.names = c("807",      "92", "166", "764", "672", "791", "311", "115", "44", "371",      "355", "144", "759", "180", "868", "783", "138", "231", "909",      "175"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999996077553373,      0.999907887551596, 0.976287933139786, 0.966857692040689,      0.943130471923307, 0.934422297868804, 0.922931819853902,      0.910954614838928, 0.841994865997326, 0.805085107208112,      0.755375975353176, 0.662852748312586, 0.653619646177715,      0.564788416992566, 0.543607961699482, 0.527128709737503,      0.22349516652306, 0.14671976260031, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1128873696 
R squared (OOB):                  0.3792601 

$Forests[[808]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(548888, 580000, 520000,      565000, 575000, 580000, 540000, 380000, 495000, 510000, 403500,      540000, 475000, 505000, 376000, 5e+05, 382000, 505000, 380000,      490000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 90,      93, 93, 90, 90, 90, 90, 102, 92, 86, 92, 92, 92), storey_order = c(2L,      4L, 1L, 3L, 4L, 4L, 4L, 4L, 3L, 3L, 5L, 3L, 5L, 6L, 5L, 3L,      2L, 4L, 1L, 3L), remaining_lease_mths = c(1130, 1134, 1138,      1127, 1137, 1140, 1075, 973, 1076, 1076, 965, 1067, 1031,      1033, 944, 1049, 989, 1051, 1037, 1038), PROX_CBD = c(11.7494815193957,      11.7494815193957, 11.6952918230505, 11.6525204845234, 11.6525204845234,      11.6525204845234, 11.8019303594103, 11.9491294576901, 11.7824349405223,      11.734228152501, 12.0682850666201, 11.5237533038112, 11.780035597066,      11.6571985599938, 11.9885535057438, 11.4975151935682, 12.3082954752684,      11.4388659085475, 11.6419253241709, 11.6213283462416), PROX_ELDERLYCARE = c(0.0736890817471424,      0.0736890817471424, 0.0818897866131208, 0.090696724945174,      0.090696724945174, 0.090696724945174, 0.184707688528033,      0.351349913726565, 0.213047345375207, 0.217445500321488,      0.36227142211874, 0.374021376468387, 0.389019901488026, 0.400746835300904,      0.468647269590137, 0.485429735975203, 0.583230122785789,      0.529438756707198, 0.626216066088841, 0.621923465733728),          PROX_HAWKER = c(0.418792449609449, 0.418792449609449,          0.374319678668878, 0.325622570567264, 0.325622570567264,          0.325622570567264, 0.425288384889406, 0.693645859237657,          0.411134055372247, 0.366555491930585, 0.732401821736703,          0.235307086042243, 0.475091880549249, 0.38372613736418,          0.661637750611862, 0.320302217757218, 0.732610931237137,          0.319632581294072, 0.553081930127745, 0.537052085835962         ), PROX_MRT = c(0.183595482094196, 0.183595482094196,          0.18359152527436, 0.219824289848129, 0.219824289848129,          0.219824289848129, 0.341923672362566, 0.207404211118571,          0.323171872402698, 0.276453864170284, 0.353072027979069,          0.148196296616071, 0.149757666469573, 0.187661086924798,          0.253577460439113, 0.24936700359253, 0.348338435446781,          0.264110896255266, 0.168432978085695, 0.182944945438028         ), PROX_PARK = c(1.25382465781663, 1.25382465781663,          1.23082333360032, 1.18955170998222, 1.18955170998222,          1.18955170998222, 1.09015045463689, 1.42337349535551,          1.04913519120928, 1.00928973198994, 1.2554933111164,          0.808531626238996, 0.915827670442916, 0.822874314333037,          0.965214735166117, 0.698336840868775, 1.248380402738,          0.653351036954048, 0.654970873229416, 0.643411448820926         ), PROX_GOOD_PRISCH = c(2.40225451049103, 2.40225451049103,          2.35260315569007, 2.3279627535371, 2.3279627535371, 2.3279627535371,          2.57167610218627, 2.48771655129493, 2.5757070458522,          2.54247396470066, 2.66094910730305, 2.43173748992112,          2.67648686403773, 2.58492752090912, 2.84793008582659,          2.48345794754568, 2.82059786507503, 2.45055199705462,          2.71543842399088, 2.69528593883292), PROX_MALL = c(0.730910693989521,          0.730910693989521, 0.785373664552542, 0.807719243520252,          0.807719243520252, 0.807719243520252, 0.70263709534569,          0.591401580344059, 0.732391369928616, 0.781937846313192,          0.424043071559413, 0.840908486660855, 0.657761426948524,          0.718523422751835, 0.581599658792334, 0.805279144871904,          0.312386349772529, 0.840491697823826, 0.576398809288588,          0.597386337892971), PROX_CHAS = c(0.105514964386053,          0.105514964386053, 0.141926234339659, 0.162428164506486,          0.162428164506486, 0.162428164506486, 0.144895120017984,          0.136369833447508, 0.182294192745256, 0.203102352137365,          0.0850792531740411, 0.0822817354855642, 0.165734916528407,          0.162236141473446, 0.0548782345589675, 0.18789773503711,          0.200650927390068, 0.210772889992189, 0.118628580179885,          0.130352204164602), PROX_SUPERMARKET = c(0.100761764224213,          0.100761764224213, 0.137537075296593, 0.158766807317564,          0.158766807317564, 0.158766807317564, 0.149354766345577,          0.234851160706955, 0.186528474083994, 0.206717744357565,          0.0850782630125017, 0.113409172087645, 0.328761363845442,          0.248678179468178, 0.41771106664497, 0.186124684843571,          0.200651971059786, 0.189609627596398, 0.0879874709963817,          0.0679201472407272), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L,          4L, 4L, 4L, 4L, 7L, 6L, 8L, 8L, 5L, 4L, 9L, 8L, 6L, 4L,          4L, 4L, 6L, 6L), WITHIN_350M_BUS = c(14L, 14L, 13L, 11L,          11L, 11L, 13L, 12L, 11L, 10L, 12L, 5L, 8L, 9L, 14L, 8L,          8L, 7L, 8L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 6L, 6L,          6L, 6L, 6L, 7L, 7L, 5L, 7L, 4L, 6L, 5L, 7L, 4L, 6L, 5L,          5L, 6L), DNeighbour = c(0, 8.90039415349856, 59.942609325205,          98.4697181318636, 99.2839482135298, 99.590359094888,          252.803027387318, 275.406239215705, 286.641808465841,          293.24748844823, 317.437583439489, 454.136810131521,          462.88907965127, 483.826146915508, 527.008310081123,          564.239533888127, 592.197969200904, 602.874313007436,          700.723261795334, 702.744825626473)), row.names = c("808",      "281", "917", "557", "580", "792", "342", "175", "260", "409",      "860", "652", "263", "977", "486", "553", "231", "271", "421",      "89"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999679211841237,      0.985501496177273, 0.961117379626584, 0.960478200827096,      0.960236357581801, 0.757926226615545, 0.71641629615901, 0.69493339421008,      0.682061462616996, 0.633547788677578, 0.339170039396939,      0.320504381124203, 0.276670242087496, 0.191500218242258,      0.126265474174162, 0.0840239966880774, 0.0697135096218843,      3.30057324802226e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1444417558 
R squared (OOB):                  0.7136278 

$Forests[[809]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(650000, 377000, 388000,      380000, 440000, 465000, 380000, 345000, 378000, 350000, 352000,      410000, 430000, 660000, 360000, 370000, 672000, 355000, 492500,      4e+05), floor_area_sqm = c(104, 98, 98, 92, 91, 104, 93,      84, 84, 91, 84, 103, 104, 85, 83, 84, 85, 84, 108, 104),          storey_order = c(3L, 3L, 2L, 1L, 5L, 3L, 3L, 1L, 3L,          4L, 2L, 2L, 2L, 3L, 3L, 3L, 5L, 3L, 2L, 2L), remaining_lease_mths = c(815,          735, 728, 767, 669, 760, 790, 789, 799, 741, 800, 799,          781, 1032, 803, 777, 1042, 782, 912, 783), PROX_CBD = c(7.71625132507906,          8.07728506382532, 8.19895861369783, 8.01258306529517,          6.95185067667089, 8.64488888098128, 7.92065359752155,          7.23308787648785, 8.15960948514705, 8.70456515841861,          8.28689365911172, 8.31972436488376, 7.27303659463988,          6.62545736407856, 8.52567265657093, 7.32999369210923,          6.58265946872266, 7.37752466520609, 8.12312779702036,          6.8579883001408), PROX_ELDERLYCARE = c(1.13999552495818,          1.22552837794249, 1.1658248464307, 1.38923408288603,          0.368543492371998, 0.17844978767297, 1.44631042678071,          0.804640181087392, 1.45090119588013, 0.1203423949077,          1.3668692597991, 1.3912791419992, 0.949520652768775,          0.121758896932011, 1.23693676843424, 1.04617467786566,          0.129826558983194, 1.11141904944431, 1.71708078323557,          0.650979480304367), PROX_HAWKER = c(0.888477780938884,          0.503102516785602, 0.391405491562813, 0.532883444787396,          0.163396016993116, 0.917919654697093, 0.646393168274836,          0.727393295990439, 0.40344417957638, 0.867862446497739,          0.269406334629514, 0.252588085280054, 0.905159668549179,          0.33268573973532, 0.0724679807682574, 1.00458194418859,          0.37361464573735, 1.06790139631185, 0.581802643409563,          0.732876252375814), PROX_MRT = c(0.227897729387739, 0.711885268750489,          0.707144761815547, 0.57194553577364, 0.258776848421036,          0.91698472228942, 0.434970780163821, 0.626719191507479,          0.408889372474398, 0.97670571404933, 0.467794692056616,          0.44379796826936, 0.477339162120678, 0.255638745600017,          0.510058766918036, 0.446590670593176, 0.288098631383321,          0.450606800129455, 0.142211914808532, 0.479854345281657         ), PROX_PARK = c(0.374132090410645, 0.413960848298732,          0.372450573927522, 0.580004121625521, 0.871860056746433,          0.238119977580318, 0.790688256163915, 1.17683143601381,          0.650146210437373, 0.288616932786395, 0.570592214216024,          0.59965919275643, 1.28136359713013, 0.741691321664553,          0.557643312318536, 1.30043300411079, 0.734858817801552,          1.30417314517193, 0.921087542045637, 1.26891760289394         ), PROX_GOOD_PRISCH = c(1.93537396204111, 2.66084492380109,          2.73491137460549, 2.75227504535898, 1.99104033276262,          2.37381492496372, 2.86596411907387, 2.53413597667736,          2.95345383530684, 2.418607930925, 2.99359805566516, 3.04207330950824,          2.72285479219865, 2.08436883673306, 3.13534109620979,          2.81856751915823, 2.10026546945211, 2.87682745937193,          3.16123688190063, 2.57894825178105), PROX_MALL = c(1.9342939090943,          2.0316459728171, 1.94983703099632, 2.11322307221905,          1.10491400246256, 1.00281364182829, 2.02812113432733,          1.33824767405872, 2.20417563031698, 0.948870628363287,          2.09618768409308, 2.10790194839897, 1.40144317349524,          0.757747380414752, 1.96281231550532, 1.4733570331857,          0.712222885156031, 1.52964479685301, 2.25269448786787,          0.985446043286547), PROX_CHAS = c(0.147762521806201,          0.279534674537085, 0.293834776478611, 0.1333322783253,          0.197049444171332, 0.256340531367836, 0.0418426354504526,          0.335243362149438, 0.102408834624747, 0.27140983829104,          0.229330661012247, 0.261198443001062, 0.150676124399865,          0.152169077912936, 0.169369143123463, 0.100781853121145,          0.19769969897302, 0.123680988169118, 0.169904154790832,          0.418063314797021), PROX_SUPERMARKET = c(0.185503456748824,          0.412975566732202, 0.293834967432244, 0.475213328012689,          0.145490551360364, 0.24778575064029, 0.6226371739075,          0.400791637001426, 0.391977689272912, 0.221415122113844,          0.266710264104055, 0.272257424647181, 0.216512452964216,          0.21094349839638, 0.169391527985645, 0.154588063793208,          0.255985378039003, 0.15284622075069, 0.496146947525001,          0.471666412940503), WITHIN_350M_KINDERGARTEN = c(3L,          1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L,          1L, 0L, 2L, 2L, 0L), WITHIN_350M_CHILDCARE = c(3L, 2L,          3L, 2L, 3L, 4L, 3L, 2L, 2L, 4L, 2L, 3L, 4L, 0L, 3L, 4L,          0L, 5L, 1L, 1L), WITHIN_350M_BUS = c(6L, 6L, 7L, 6L,          4L, 8L, 6L, 4L, 7L, 9L, 7L, 9L, 7L, 2L, 8L, 8L, 2L, 9L,          8L, 3L), WITHIN_1KM_PRISCH = c(3L, 2L, 1L, 2L, 2L, 2L,          3L, 3L, 1L, 2L, 1L, 1L, 3L, 2L, 2L, 3L, 2L, 3L, 1L, 2L         ), DNeighbour = c(0, 731.07551615403, 798.559541788051,          828.477590207705, 835.002100763245, 959.764784158305,          983.961932641044, 987.144002441286, 1021.85879287195,          1022.36712170982, 1059.27479818075, 1106.64282580786,          1142.55059326902, 1184.21815346842, 1205.35801244518,          1207.60014926749, 1223.85251519388, 1237.40974320544,          1262.2607090408, 1300.7299947597)), row.names = c("809",      "395", "29", "200", "492", "487", "1", "171", "327", "71",      "266", "540", "611", "841", "404", "187", "388", "948", "669",      "168"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.467992269736365,      0.388238296978132, 0.353212239494955, 0.345628405585214,      0.207528876260782, 0.182974028175855, 0.179816232311219,      0.146555920124204, 0.146086044963203, 0.1134358325032, 0.0762661346452707,      0.0521792610302884, 0.0292837150842411, 0.0199565578282965,      0.019063320036485, 0.0131591788824829, 0.0090233478476263,      0.00339604695584679, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       9783691696 
R squared (OOB):                  0.1246368 

$Forests[[810]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 303888, 298000,      350000, 303000, 297000, 325000, 3e+05, 272000, 255000, 245000,      370000, 355000, 359900, 344000, 270000, 375000, 316000, 318000,      320000), floor_area_sqm = c(103, 93, 93, 103, 92, 91, 91,      96, 89, 91, 88, 93, 93, 93, 114, 97, 92, 92, 91, 84), storey_order = c(2L,      2L, 1L, 4L, 1L, 3L, 4L, 4L, 2L, 4L, 2L, 5L, 3L, 3L, 2L, 2L,      4L, 3L, 1L, 1L), remaining_lease_mths = c(773, 782, 777,      768, 794, 788, 780, 791, 882, 686, 668, 1106, 1111, 1117,      909, 687, 783, 781, 765, 822), PROX_CBD = c(18.4499801912104,      18.5252470382495, 18.5252470382495, 18.3186881593276, 18.2139172788048,      18.1476771148045, 18.1476771148045, 18.5761736305699, 17.8554664137964,      19.1428796063974, 18.8842060529579, 18.8127816342995, 18.8127816342995,      18.8127816342995, 17.7896312466061, 19.1998859465191, 18.1857629477019,      18.2234963781047, 18.2234963781047, 17.6406634027014), PROX_ELDERLYCARE = c(0.504778052376495,      0.449194476018676, 0.449194476018676, 0.586525817031338,      0.649170232100017, 0.519546459890619, 0.519546459890619,      0.0638277150498875, 0.800501761367975, 0.457204003422965,      0.229103995883471, 0.176499517448139, 0.176499517448139,      0.176499517448139, 1.25681260125729, 0.482976337773198, 0.47723779098819,      0.448333702611612, 0.448333702611612, 1.035266769267), PROX_HAWKER = c(0.652207052169444,      0.69553534809229, 0.69553534809229, 0.564283191409187, 0.488031980714328,      0.209390724873544, 0.209390724873544, 0.562029876499453,      0.203123967436651, 0.491246203286744, 0.280513302960552,      0.325560722493799, 0.325560722493799, 0.325560722493799,      0.881066744107593, 0.407382567332432, 0.380157991945912,      0.416527045274471, 0.416527045274471, 0.425506106332545),          PROX_MRT = c(0.322534237265928, 0.398456142880405, 0.398456142880405,          0.220618943711049, 0.192826481399443, 0.491311596778589,          0.491311596778589, 0.874368880716004, 0.555370291384357,          1.0490560030484, 1.03601464731326, 1.04083770509984,          1.04083770509984, 1.04083770509984, 0.459633808793419,          1.13705578024219, 0.548087095608087, 0.545975779093886,          0.545975779093886, 0.641227062746355), PROX_PARK = c(0.536975621309476,          0.491317901173298, 0.491317901173298, 0.548488124002706,          0.532358306258428, 0.270911567278729, 0.270911567278729,          0.287868908027907, 0.515057634059466, 0.602588748705797,          0.579556587207627, 0.51923222906617, 0.51923222906617,          0.51923222906617, 1.08767920112524, 0.708199402424467,          0.261695126667213, 0.264257474455249, 0.264257474455249,          0.74946287094318), PROX_GOOD_PRISCH = c(9.56762880935522,          9.63394268044443, 9.63394268044443, 9.44179125712709,          9.33501569353139, 9.18618174729203, 9.18618174729203,          9.51590189269927, 8.91472106998272, 10.1724586401982,          9.83133063879426, 9.7422556358987, 9.7422556358987, 9.7422556358987,          9.06437119601063, 10.205087741046, 9.10363750169146,          9.1355701416359, 9.1355701416359, 8.7372089119322), PROX_MALL = c(0.662291407978718,          0.705200807731176, 0.705200807731176, 0.574856358668165,          0.498813518897969, 0.218975149940797, 0.218975149940797,          0.624506085881379, 0.208298160410803, 1.19002137667581,          0.91348864249693, 0.856774663098642, 0.856774663098642,          0.856774663098642, 0.889615709496153, 1.23204265332191,          0.374195605351922, 0.411037179701155, 0.411037179701155,          0.427942470585451), PROX_CHAS = c(0.201478871858691,          0.240425442805127, 0.240425442805127, 0.141159289664064,          0.0363398547195702, 0.218975205360203, 0.218975205360203,          0.0792988689034794, 0.208298146952687, 0.472048134528426,          0.241229981070425, 0.2593611752042, 0.2593611752042,          0.2593611752042, 0.198210651063146, 0.377747950290313,          0.172021358032342, 0.132763801624598, 0.132763801624598,          0.23100298607827), PROX_SUPERMARKET = c(0.310351384739933,          0.386130046709882, 0.386130046709882, 0.210011389308567,          0.186956242757619, 0.206881250620068, 0.206881250620068,          0.625539331690589, 0.19872598136169, 1.03656246660954,          0.911876453557648, 0.856773769273042, 0.856773769273042,          0.856773769273042, 0.347801992140281, 1.12464344461301,          0.38486207983901, 0.421116980529575, 0.421116980529575,          0.231004283416662), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 3L,          2L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 1L,          1L, 4L, 5L, 3L, 3L, 2L, 5L, 2L, 1L, 1L, 1L, 1L, 4L, 2L,          2L, 2L, 2L, 6L), WITHIN_350M_BUS = c(9L, 8L, 8L, 10L,          9L, 7L, 7L, 10L, 10L, 6L, 13L, 16L, 16L, 16L, 7L, 10L,          4L, 6L, 6L, 8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L,          2L, 3L, 3L, 2L, 3L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 4L,          4L, 3L), DNeighbour = c(0, 72.4447338839351, 74.7881014876997,          131.256997985746, 237.714167503649, 450.65583661013,          454.130013855402, 666.050111743872, 667.92516206742,          728.777769186852, 735.228845447358, 759.188036284068,          759.879812676594, 760.019346519408, 783.802228082345,          813.802737486982, 829.756493924958, 833.33741619116,          833.989954906147, 838.438086618399)), row.names = c("810",      "106", "11", "367", "481", "827", "944", "78", "467", "484",      "96", "637", "418", "604", "172", "193", "733", "202", "47",      "730"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.985124298726624,      0.984150271219372, 0.951585185253377, 0.845694090554233,      0.505662772884526, 0.499323365683049, 0.136115478284267,      0.133502696179603, 0.059768538765949, 0.0533800301861706,      0.0324388468118702, 0.0319026088190459, 0.0317949304413808,      0.0158965152434586, 0.00335258770038315, 0.000424432109658591,      0.000147138541721648, 0.000111986627424156, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1461145735 
R squared (OOB):                  -0.06187175 

$Forests[[811]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(485000, 630000, 638000,      520000, 448000, 430000, 565000, 5e+05, 560000, 548000, 420000,      648000, 588000, 375000, 670000, 345000, 516000, 440000, 450000,      439000), floor_area_sqm = c(103, 102, 102, 108, 105, 93,      103, 105, 104, 95, 91, 116, 95, 92, 94, 92, 98, 92, 92, 97     ), storey_order = c(2L, 6L, 9L, 1L, 1L, 3L, 4L, 2L, 3L, 2L,      1L, 4L, 3L, 2L, 6L, 1L, 3L, 3L, 1L, 3L), remaining_lease_mths = c(855,      870, 869, 860, 866, 728, 852, 857, 851, 981, 742, 871, 1025,      695, 1104, 695, 698, 677, 679, 669), PROX_CBD = c(7.70120549943486,      7.86314261154951, 7.86314261154951, 7.50210394472385, 8.05276498978228,      8.20083785223568, 8.19182633034048, 8.19182633034048, 7.6651195249001,      8.37940280964872, 8.31995738049774, 8.27332873959955, 8.51090417959469,      8.4016901584654, 8.58683984966127, 8.46158045860266, 8.70928269501252,      8.7589377611275, 8.7589377611275, 8.73211086874077), PROX_ELDERLYCARE = c(0.883817181840043,      0.731462959428347, 0.731462959428347, 0.808331791227546,      0.599632276485302, 0.41240614163537, 0.444818640633349, 0.444818640633349,      0.216787702409289, 0.335901694998922, 0.259768432786295,      0.354571010374291, 0.120425912751251, 0.150390524199432,      0.203840329735754, 0.0854535518544851, 0.119444653145476,      0.169235371196244, 0.169235371196244, 0.292319821872094),          PROX_HAWKER = c(0.72907919143595, 0.573870222021737,          0.573870222021737, 0.932792437987216, 0.560005371648267,          0.35604829505958, 0.553760551741158, 0.553760551741158,          0.778265933598076, 0.203869560106314, 0.387410687724852,          0.610975272844239, 0.166697492306482, 0.205000896629144,          0.433030813326955, 0.266645682444034, 0.281172749103646,          0.330091511745513, 0.330091511745513, 0.436547444862961         ), PROX_MRT = c(0.692418360175919, 0.85984195598231,          0.85984195598231, 0.506174946521629, 1.12051759514643,          0.805467939952349, 1.08457427678223, 1.08457427678223,          0.910191895307983, 0.62312262100292, 0.705543842504761,          1.0936063211659, 0.608243230971526, 0.747297636603152,          0.751078096441513, 0.681495718287031, 0.379410256905797,          0.338391484905848, 0.338391484905848, 0.600073719023998         ), PROX_PARK = c(0.450335295656325, 0.281207712521794,          0.281207712521794, 0.621272392201987, 0.30128672956265,          0.393072899865764, 0.374102285306053, 0.374102285306053,          0.361681715476141, 0.394842599629624, 0.517920409018535,          0.477465658778908, 0.368529270986479, 0.784786352249359,          0.52118662053352, 0.773425606080498, 0.513364518506117,          0.469340752260783, 0.469340752260783, 0.617507126900098         ), PROX_GOOD_PRISCH = c(0.490611064856358, 0.562813849840511,          0.562813849840511, 0.343243332218702, 0.631981624625733,          1.04754826657838, 0.769163347741007, 0.769163347741007,          0.353240700451805, 1.14854892992093, 1.20021801549651,          0.856939381531897, 1.13331232297991, 1.42922442943649,          1.16640042723588, 1.4534383809239, 1.35677240305411,          1.40615721612308, 1.40615721612308, 1.31940815963163),          PROX_MALL = c(0.779066462317335, 0.943364056194349, 0.943364056194349,          0.584674138925751, 1.07178760783233, 0.844084234929545,          0.997182626507123, 0.997182626507123, 0.987031177772312,          0.651389947232486, 0.768764019555169, 0.991200103712322,          0.540250505232014, 0.856591768216477, 0.632538285087724,          0.793630348518112, 0.313890580083005, 0.264395031718586,          0.264395031718586, 0.469553394647833), PROX_CHAS = c(0.0405139203460024,          0.201852081003395, 0.201852081003395, 0.169910439255117,          0.167974733321899, 0.0460460495231756, 0.311461966699573,          0.311461966699573, 0.371562543403755, 0.11938167830482,          0.1066489590073, 0.413431749899638, 0.0869956868442428,          0.14998683096932, 0.237191200694799, 0.161491876005888,          0.112175615725657, 0.0806835690144568, 0.0806835690144568,          0.0664211666443358), PROX_SUPERMARKET = c(0.0588346413192393,          0.115543350477338, 0.115543350477338, 0.26407208892283,          0.372458117254617, 0.436961702644775, 0.485938543293979,          0.485938543293979, 0.176585087131714, 0.282093113359979,          0.284909088626731, 0.502190497784501, 0.0869967242830128,          0.194600933367586, 0.35437102597818, 0.128302570008396,          0.221335227738319, 0.24726445439454, 0.24726445439454,          0.350370254212894), WITHIN_350M_KINDERGARTEN = c(4L,          4L, 4L, 2L, 3L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 2L, 0L, 1L,          0L, 2L, 2L, 2L, 1L), WITHIN_350M_CHILDCARE = c(4L, 3L,          3L, 3L, 3L, 2L, 2L, 2L, 1L, 4L, 3L, 4L, 6L, 3L, 5L, 3L,          7L, 8L, 8L, 6L), WITHIN_350M_BUS = c(4L, 2L, 2L, 4L,          5L, 7L, 7L, 7L, 5L, 6L, 7L, 8L, 5L, 7L, 4L, 7L, 6L, 6L,          6L, 7L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L, 1L, 2L,          2L, 2L, 0L, 3L, 2L, 2L, 3L, 3L, 2L, 3L, 4L, 3L, 3L, 3L         ), DNeighbour = c(0, 173.665437272683, 177.573547019973,          208.020668884403, 507.082148623376, 580.254772058596,          662.282069056505, 663.28404674363, 668.102175480225,          714.009759287154, 735.150973950147, 780.54673836415,          824.303345316286, 952.258533627245, 956.662935476163,          976.702920444525, 1009.20276784221, 1062.71409512512,          1066.69785538207, 1068.26046304954)), row.names = c("811",      "476", "931", "460", "635", "79", "128", "674", "935", "998",      "716", "795", "94", "682", "149", "676", "446", "386", "194",      "842"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.947841469955213,      0.945500776014978, 0.925599549666763, 0.600127019835544,      0.49696646384147, 0.379019694093996, 0.377587983266255, 0.37071134407013,      0.306097600229564, 0.277111804962162, 0.21726800978548, 0.163688974602643,      0.0421839924613658, 0.0392118852248184, 0.0269184907721204,      0.0115587550221847, 0.000107266783920303, 8.54614156060157e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4655757937 
R squared (OOB):                  0.4692407 

$Forests[[812]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(720000, 685000, 310000,      575000, 430000, 416000, 394000, 340000, 363000, 358000, 4e+05,      390000, 550000, 370000, 430000, 355000, 715000, 672000, 662000,      680000), floor_area_sqm = c(93, 93, 83.1, 101, 92, 91, 102,      84, 84, 84, 104, 84, 102, 84, 104, 84, 95, 85, 95, 95), storey_order = c(3L,      2L, 3L, 6L, 2L, 4L, 2L, 1L, 4L, 3L, 2L, 1L, 3L, 3L, 2L, 3L,      6L, 5L, 3L, 4L), remaining_lease_mths = c(1143, 1142, 613,      932, 687, 713, 769, 780, 780, 770, 783, 783, 761, 777, 781,      782, 1099, 1042, 1093, 1084), PROX_CBD = c(6.10189119169168,      6.19231755176043, 5.99387263807515, 5.56255806753875, 5.17330173892321,      5.10609859014938, 6.11041994069873, 6.73119135364588, 6.82164733234375,      6.82164733234375, 6.8579883001408, 4.91139217141794, 6.04257091454572,      7.32999369210923, 7.27303659463988, 7.37752466520609, 6.06656257116635,      6.58265946872266, 6.11286474740545, 6.04001281876484), PROX_ELDERLYCARE = c(0.230112759455232,      0.355678840187058, 0.103488744511564, 0.0599829320550621,      0.151830290872251, 0.320090253923576, 0.700949857098155,      0.709869492714774, 0.729511559050305, 0.729511559050305,      0.650979480304367, 0.53976690699019, 0.548656319889636, 1.04617467786566,      0.949520652768775, 1.11141904944431, 0.516985202466339, 0.129826558983194,      0.471592353212743, 0.545921172841312), PROX_HAWKER = c(0.193610514045812,      0.287310245845902, 0.131941483902414, 0.248163252655802,      0.261285820740611, 0.333568708255903, 0.917579692245523,      0.84617550022745, 0.834207881424508, 0.834207881424508, 0.732876252375814,      0.526793317066312, 0.19523132016882, 1.00458194418859, 0.905159668549179,      1.06790139631185, 0.0900485470251793, 0.37361464573735, 0.0855319563513606,      0.0606577495598573), PROX_MRT = c(0.385901790532203, 0.3593423355956,      0.422927302226303, 0.389634730949481, 0.568944969773001,      0.549226257235714, 0.781870827245549, 0.447149108468339,      0.401668294921849, 0.401668294921849, 0.479854345281657,      0.348715950460643, 0.448203274012385, 0.446590670593176,      0.477339162120678, 0.450606800129455, 0.530436532640755,      0.288098631383321, 0.576684647572531, 0.53617676606472),          PROX_PARK = c(0.835974869985028, 0.861129399478803, 0.775542593632535,          0.136342453682232, 0.375618223612072, 0.534309547143458,          0.263971642616293, 1.30601230217613, 1.33915084667526,          1.33915084667526, 1.26891760289394, 0.454973393404149,          0.651264615899835, 1.30043300411079, 1.28136359713013,          1.30417314517193, 0.548254609843109, 0.734858817801552,          0.517760851715104, 0.524571131123829), PROX_GOOD_PRISCH = c(3.72727940395598,          3.647323571983, 3.79476022833587, 3.30515733544794, 3.5160560831601,          3.68539306501406, 4.13214763824822, 2.67147237000904,          2.67483404440455, 2.67483404440455, 2.57894825178105,          3.07957394860643, 2.14268529299874, 2.81856751915823,          2.72285479219865, 2.87682745937193, 2.03651743937875,          2.10026546945211, 2.00772186702724, 2.00925132829891),          PROX_MALL = c(1.26544404340832, 1.22999734499907, 1.29238059557114,          0.719385659919303, 0.96360119165526, 1.13513631747826,          1.32133984316634, 0.894914409230097, 0.977306285381771,          0.977306285381771, 0.985446043286547, 0.779372162435287,          0.264532440460292, 1.4733570331857, 1.40144317349524,          1.52964479685301, 0.365617038961166, 0.712222885156031,          0.403935094648282, 0.387042201482337), PROX_CHAS = c(0.131092152612185,          0.255647811562625, 3.57955945681819e-08, 0.174009235365936,          0.213267381067323, 0.37199840586913, 0.235562548335707,          0.468632365618207, 0.389404577789016, 0.389404577789016,          0.418063314797021, 0.297280152993809, 0.12619956254809,          0.100781853121145, 0.150676124399865, 0.123680988169118,          0.0929349198733403, 0.19769969897302, 0.0679258481743644,          0.134421273847083), PROX_SUPERMARKET = c(0.0250108723026275,          0.108411284353298, 0.147638600898363, 0.173881454941229,          0.266791583668656, 0.424647979009491, 0.174913922147584,          0.541263540151477, 0.457775852816324, 0.457775852816324,          0.471666412940503, 0.212061147632098, 0.178930757423705,          0.154588063793208, 0.216512452964216, 0.15284622075069,          0.0785030623714358, 0.255985378039003, 0.0895469396191502,          0.0393286469640316), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 1L, 1L, 2L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L,          2L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 4L, 4L, 4L, 1L, 2L, 1L, 1L, 1L, 2L, 4L, 4L, 4L, 5L,          3L, 0L, 3L, 4L), WITHIN_350M_BUS = c(9L, 10L, 6L, 2L,          4L, 4L, 4L, 4L, 4L, 4L, 3L, 7L, 7L, 8L, 7L, 9L, 8L, 2L,          6L, 8L), WITHIN_1KM_PRISCH = c(2L, 1L, 2L, 3L, 3L, 3L,          1L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 3L, 3L, 1L, 2L, 1L, 1L         ), DNeighbour = c(0, 126.414925240105, 127.852271802049,          694.026144427818, 969.768177704639, 995.666477772621,          1210.54568393741, 1280.09037322463, 1341.79329391211,          1342.4559328462, 1443.68279747598, 1482.84447115025,          1595.00826524697, 1686.67874162612, 1694.161778343, 1701.82624179519,          1705.42671394387, 1706.17502139389, 1725.44211578994,          1729.48000043374)), row.names = c("812", "305", "752",      "596", "270", "853", "135", "529", "322", "46", "168", "251",      "453", "187", "611", "948", "297", "388", "536", "930"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.989343026307791, 0.989099975253072, 0.703862087205404,      0.470025290927358, 0.446980879781288, 0.260174575134548,      0.204452731327156, 0.158466172821961, 0.157993084228983,      0.0919260246204336, 0.0701597308458662, 0.022338265565356,      0.00238960981657107, 0.00163422603251423, 0.00100638723547518,      0.000762985992656608, 0.000716562959762471, 2.17531503501384e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10132814186 
R squared (OOB):                  0.5329841 

$Forests[[813]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(3e+05, 335000, 343000,      375000, 325000, 330000, 335000, 392000, 314000, 417000, 320000,      297000, 340888, 355000, 315000, 388000, 363000, 335000, 333000,      385000), floor_area_sqm = c(106, 105, 107, 108, 90, 91, 90,      113, 91, 92, 91, 90, 107, 104, 90, 104, 104, 114, 108, 104     ), storey_order = c(2L, 2L, 2L, 2L, 5L, 1L, 3L, 2L, 3L, 2L,      8L, 2L, 4L, 4L, 5L, 6L, 5L, 3L, 4L, 1L), remaining_lease_mths = c(941,      938, 907, 909, 992, 987, 979, 933, 985, 1120, 995, 995, 883,      882, 1001, 904, 918, 904, 895, 863), PROX_CBD = c(17.3741762112269,      17.3741762112269, 17.2160129653012, 16.9875722318911, 17.2610384590751,      17.2817356498826, 17.0600275230943, 16.6579104452557, 17.0716695500607,      16.7161737209409, 16.7093180086981, 16.901501451739, 16.7669966667855,      16.7669966667855, 16.8082045368238, 16.3777502460772, 16.295166477654,      16.3642048862006, 16.5397910410307, 16.2492480828887), PROX_ELDERLYCARE = c(0.815153211361198,      0.815153211361198, 0.574386357445605, 0.636322412867891,      1.12094638660826, 1.19353475005496, 1.09431476347566, 0.409372351007212,      1.21621641692937, 9.26628957858198e-07, 0.935779967581661,      1.16689850532437, 0.121542639162494, 0.121542639162494, 1.15380285023885,      0.465083314136851, 0.514795208711411, 0.361422596457277,      0.706939892416911, 0.836071823435323), PROX_HAWKER = c(2.50067722531469,      2.50067722531469, 2.37357884684332, 2.10596394293278, 2.37726799660773,      2.40388099430384, 2.18272534115171, 1.80129318596364, 2.2102134433082,      1.96687058888139, 1.82495077083007, 2.0413146444202, 2.05474291859885,      2.05474291859885, 1.94950915107796, 1.54627052523026, 1.47281657351752,      1.67761333691466, 2.14655926815246, 2.17952287051713), PROX_MRT = c(0.590831178240684,      0.590831178240684, 0.453815632281196, 0.252669932820992,      0.729621307242001, 0.797812759521718, 0.673816738147829,      0.128609360773056, 0.793158171270894, 0.427108887982576,      0.522077155701705, 0.740013435080822, 0.53300655679357, 0.53300655679357,      0.730447684580082, 0.419412974707088, 0.504795745143921,      0.653367521351592, 0.460645764817668, 0.290093838525113),          PROX_PARK = c(1.47164498360674, 1.47164498360674, 1.24959985284921,          1.18807543108152, 1.64853798443183, 1.70244245234235,          1.5130077643247, 0.826869373992433, 1.59669720594139,          0.688779163701323, 1.17885821480356, 1.46267930314228,          0.722711239268322, 0.722711239268322, 1.39545287332227,          0.571339732684777, 0.48638578612152, 0.32735774848914,          0.711243459523284, 0.886796559947336), PROX_GOOD_PRISCH = c(7.888904100652,          7.888904100652, 7.68034428555912, 7.55033959010056, 7.93716312588154,          7.98012169831377, 7.76907239486735, 7.18541951227303,          7.82238149093771, 7.12110535783693, 7.40748446052123,          7.66085245964853, 7.13952904562396, 7.13952904562396,          7.5739079893598, 6.89348817522951, 6.80828229467371,          6.76031366250815, 6.77397603493671, 6.4097782056775),          PROX_MALL = c(0.521008948961951, 0.521008948961951, 0.413606644895247,          0.165557901737932, 0.644198936007264, 0.713200150273906,          0.597930181439745, 0.168053149288668, 0.719585865775528,          0.337595745740984, 0.484270435079706, 0.678684538412688,          0.27529824968273, 0.27529824968273, 0.677813655888015,          0.427317836890542, 0.510483215269896, 0.388175183991252,          0.345326846187852, 0.355568776497803), PROX_CHAS = c(0.524369302913132,          0.524369302913132, 0.303266380929536, 0.194474796894964,          0.678651577140463, 0.748586514709626, 0.638199243310692,          0.170995488718356, 0.760340467100735, 0.279591917356114,          0.52365796939069, 0.720584477651296, 0.222759343861358,          0.222759343861358, 0.71936188995133, 0.429996386722335,          0.513107963149175, 0.380772978950647, 0.286223989121013,          0.121251060497272), PROX_SUPERMARKET = c(0.559408220033625,          0.559408220033625, 0.387759857324111, 0.284398337107734,          0.771245719522698, 0.842475689687135, 0.718466194952364,          0.103652200866821, 0.837223205851576, 0.344537051235884,          0.555366708418936, 0.780695486504835, 0.243987988302975,          0.243987988302975, 0.768274584157999, 0.386156989530241,          0.471223408024363, 0.422789252098693, 0.377165028023417,          0.350013224352412), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 2L, 2L, 1L,          0L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          5L, 4L, 3L, 3L, 2L, 5L, 2L, 6L, 1L, 1L, 5L, 5L, 1L, 3L,          3L, 4L, 1L, 4L), WITHIN_350M_BUS = c(2L, 2L, 5L, 11L,          5L, 5L, 7L, 9L, 5L, 12L, 8L, 7L, 11L, 11L, 9L, 8L, 7L,          6L, 2L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 2L,          2L, 2L, 4L, 2L, 4L, 3L, 2L, 3L, 3L, 2L, 4L, 3L, 3L, 3L,          3L), DNeighbour = c(0, 3.56824704781043, 256.522116184954,          405.010011423579, 525.054248523322, 589.636730293215,          657.022649337922, 723.790632618156, 770.732210252196,          811.160729256002, 818.241073761037, 837.302647086081,          849.240370086226, 851.933951922838, 891.670956629891,          1008.81273466156, 1095.18176344852, 1154.58885179351,          1438.90277811873, 1899.07263961273)), row.names = c("813",      "822", "326", "125", "525", "127", "208", "918", "431", "261",      "156", "416", "673", "898", "121", "820", "451", "252", "498",      "711"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999992939167556,      0.963841015197012, 0.911102851004376, 0.852961603485174,      0.816489401471133, 0.77493615571147, 0.730582341453544, 0.697706914563922,      0.668397061033341, 0.6631767519835, 0.649001807198956, 0.640038230421725,      0.638006884937449, 0.607685551411372, 0.515254611570463,      0.445456484789659, 0.397361665297333, 0.181399591029683,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       555196057 
R squared (OOB):                  0.4744213 

$Forests[[814]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(385000, 360000, 410000,      655000, 352000, 640000, 388000, 663000, 655000, 676000, 380000,      378000, 377000, 4e+05, 380000, 492500, 380000, 350000, 465000,      4e+05), floor_area_sqm = c(91, 83, 103, 87, 84, 87, 98, 87,      87, 87, 93, 84, 98, 98, 92, 108, 93, 91, 104, 104), storey_order = c(1L,      3L, 2L, 1L, 2L, 4L, 2L, 4L, 5L, 3L, 3L, 3L, 3L, 4L, 1L, 2L,      3L, 4L, 3L, 2L), remaining_lease_mths = c(715, 803, 799,      1123, 800, 1121, 728, 1124, 1121, 1120, 724, 799, 735, 718,      767, 912, 790, 741, 760, 751), PROX_CBD = c(8.8262745849674,      8.52567265657093, 8.31972436488376, 9.39818328429371, 8.28689365911172,      9.42381765287156, 8.19895861369783, 9.49727834386093, 9.49727834386093,      9.49727834386093, 9.50206510185676, 8.15960948514705, 8.07728506382532,      9.5915755681771, 8.01258306529517, 8.12312779702036, 7.92065359752155,      8.70456515841861, 8.64488888098128, 9.83498872427818), PROX_ELDERLYCARE = c(0.896855030989675,      1.23693676843424, 1.3912791419992, 0.718190414835305, 1.3668692597991,      0.750155484045513, 1.1658248464307, 0.735218745429302, 0.735218745429302,      0.735218745429302, 0.619429799229152, 1.45090119588013, 1.22552837794249,      0.558000418748021, 1.38923408288603, 1.71708078323557, 1.44631042678071,      0.1203423949077, 0.17844978767297, 0.611336059876525), PROX_HAWKER = c(0.311054993693233,      0.0724679807682574, 0.252588085280054, 0.640059738279374,      0.269406334629514, 0.667492197519696, 0.391405491562813,      0.639074974233661, 0.639074974233661, 0.639074974233661,      0.518318645141504, 0.40344417957638, 0.503102516785602, 0.434568479089541,      0.532883444787396, 0.581802643409563, 0.646393168274836,      0.867862446497739, 0.917919654697093, 0.54583502916026),          PROX_MRT = c(0.17731989795878, 0.510058766918036, 0.44379796826936,          0.401734036242065, 0.467794692056616, 0.423547456258288,          0.707144761815547, 0.499971219475903, 0.499971219475903,          0.499971219475903, 0.533910829474844, 0.408889372474398,          0.711885268750489, 0.656590823238566, 0.57194553577364,          0.142211914808532, 0.434970780163821, 0.97670571404933,          0.91698472228942, 0.722241727367494), PROX_PARK = c(0.458605630557841,          0.557643312318536, 0.59965919275643, 0.220484561261844,          0.570592214216024, 0.258916726718906, 0.372450573927522,          0.298527066745392, 0.298527066745392, 0.298527066745392,          0.26219477257436, 0.650146210437373, 0.413960848298732,          0.355705093322714, 0.580004121625521, 0.921087542045637,          0.790688256163915, 0.288616932786395, 0.238119977580318,          0.296755194228525), PROX_GOOD_PRISCH = c(2.8424495793979,          3.13534109620979, 3.04207330950824, 2.27458198186913,          2.99359805566516, 2.24680049319454, 2.73491137460549,          2.17599822879711, 2.17599822879711, 2.17599822879711,          2.18628235132699, 2.95345383530684, 2.66084492380109,          2.11809049366399, 2.75227504535898, 3.16123688190063,          2.86596411907387, 2.418607930925, 2.37381492496372, 1.88657748145099         ), PROX_MALL = c(1.64561868645684, 1.96281231550532,          2.10790194839897, 1.45650167595406, 2.09618768409308,          1.48330987402926, 1.94983703099632, 1.45007786498113,          1.45007786498113, 1.45007786498113, 1.32833110917602,          2.20417563031698, 2.0316459728171, 1.22478662403239,          2.11322307221905, 2.25269448786787, 2.02812113432733,          0.948870628363287, 1.00281364182829, 1.23747152538927         ), PROX_CHAS = c(0.221229860630612, 0.169369143123463,          0.261198443001062, 0.109789289200213, 0.229330661012247,          0.0719365450960561, 0.293834776478611, 0.101351467161616,          0.101351467161616, 0.101351467161616, 0.219477506246216,          0.102408834624747, 0.279534674537085, 0.346218272658546,          0.1333322783253, 0.169904154790832, 0.0418426354504526,          0.27140983829104, 0.256340531367836, 0.352730820744124         ), PROX_SUPERMARKET = c(0.221249484047241, 0.169391527985645,          0.272257424647181, 0.13637298984998, 0.266710264104055,          0.100679215951394, 0.293834967432244, 0.0715849245259307,          0.0715849245259307, 0.0715849245259307, 0.191210069763785,          0.391977689272912, 0.412975566732202, 0.300584979098838,          0.475213328012689, 0.496146947525001, 0.6226371739075,          0.221415122113844, 0.24778575064029, 0.324694852199881         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 3L, 6L, 2L, 6L,          3L, 6L, 6L, 6L, 6L, 2L, 2L, 5L, 2L, 1L, 3L, 4L, 4L, 1L         ), WITHIN_350M_BUS = c(5L, 8L, 9L, 6L, 7L, 5L, 7L, 4L,          4L, 4L, 2L, 7L, 6L, 5L, 6L, 8L, 6L, 9L, 8L, 3L), WITHIN_1KM_PRISCH = c(2L,          2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,          1L, 3L, 2L, 2L, 3L), DNeighbour = c(0, 361.805570755321,          559.685458578916, 573.106953912377, 582.185731644702,          594.961257159811, 631.749501317379, 665.194468607985,          668.940167492955, 677.029876772223, 695.809531257714,          717.819705691474, 751.988572398305, 803.494633477593,          819.376848857401, 888.361689131446, 952.00152168024,          1040.04863011081, 1042.59412747322, 1050.78513455934)), row.names = c("814",      "404", "540", "657", "266", "9", "29", "466", "731", "593",      "539", "327", "395", "746", "200", "669", "1", "71", "487",      "659"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.776943948426671,      0.513084875130798, 0.49354807144413, 0.480291227243637, 0.461598389051028,      0.407731491828305, 0.359105111190944, 0.353701272846597,      0.342068770373689, 0.315301175640948, 0.28444887831526, 0.238000540098561,      0.172468468889165, 0.153624533869721, 0.0813697802541744,      0.0321058009876313, 0.000413341628021373, 0.000241165265532983,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3361887580 
R squared (OOB):                  0.7754591 

$Forests[[815]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(537000, 495000, 518000,      483000, 535000, 5e+05, 425000, 455000, 553000, 520000, 412000,      455000, 393000, 360000, 362500, 448000, 450000, 395000, 415000,      420000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 104,      112, 93, 93, 104, 113, 103, 84, 103, 116, 106, 106, 103,      106), storey_order = c(4L, 2L, 2L, 2L, 3L, 3L, 3L, 1L, 4L,      3L, 2L, 5L, 2L, 3L, 3L, 3L, 4L, 2L, 3L, 3L), remaining_lease_mths = c(1128,      1131, 1132, 1129, 1131, 1131, 871, 896, 1134, 1133, 878,      824, 818, 811, 819, 827, 834, 834, 834, 874), PROX_CBD = c(14.1022978560303,      14.1234549986629, 14.0392008059995, 13.9851487819813, 13.9851487819813,      13.8777465201196, 14.0236082538335, 14.0913802169285, 13.8021184722805,      13.7835124985007, 14.1313829663274, 14.8805910833212, 14.8805910833212,      14.7472020389823, 14.3801998083441, 15.1039483662242, 15.1256206124729,      15.1256206124729, 15.1256206124729, 13.629257933267), PROX_ELDERLYCARE = c(1.39999761805574,      1.35242241046818, 1.32747908409073, 1.27246652758392, 1.27246652758392,      1.14875617578224, 1.09340394122649, 1.71411655426264, 1.08391670289184,      1.04590518035641, 0.836104821253693, 1.53481387371296, 1.53481387371296,      1.19052284520552, 0.709377020411434, 1.55233595008815, 1.5866097118695,      1.5866097118695, 1.5866097118695, 0.207468408301612), PROX_HAWKER = c(0.488105393549706,      0.458626901673037, 0.543253862226502, 0.59565400543288, 0.59565400543288,      0.709523473368326, 0.594999289424802, 0.659732742059419,      0.792084042786722, 0.817574416707151, 0.73352935155883, 0.395563323563994,      0.395563323563994, 0.606039227085063, 0.928921275219278,      0.672854909342646, 0.674198133913936, 0.674198133913936,      0.674198133913936, 1.4012681206183), PROX_MRT = c(0.255700458734308,      0.250036690549804, 0.327704984287647, 0.390641440388092,      0.390641440388092, 0.526263367583387, 0.469886084443941,      0.410797330392975, 0.615458599020507, 0.648112836468654,      0.735653331318593, 0.650195396152393, 0.650195396152393,      0.807097621625513, 1.02650412956774, 0.927742831261867, 0.930587839854138,      0.930587839854138, 0.930587839854138, 0.681065013996815),          PROX_PARK = c(0.52092144022497, 0.469588575534173, 0.547177414231792,          0.580591669210194, 0.580591669210194, 0.548712671125698,          0.504422356794811, 0.524242894978874, 0.476945111703218,          0.438074957540257, 0.463826523913091, 0.355836862982211,          0.355836862982211, 0.432698189125414, 0.71485218383349,          0.613453702116727, 0.625625874274951, 0.625625874274951,          0.625625874274951, 0.403276931712581), PROX_GOOD_PRISCH = c(2.69832814229385,          2.69456588548322, 2.61966269686357, 2.55482099432271,          2.55482099432271, 2.41902859908312, 2.51794344218072,          2.83541955823977, 2.33081910479479, 2.3007469286795,          2.52734391167264, 3.33079371618761, 3.33079371618761,          3.13467644284063, 2.72778429145315, 3.51513652285447,          3.54140201350838, 3.54140201350838, 3.54140201350838,          1.96779323327463), PROX_MALL = c(0.257523814996123, 0.232476208076891,          0.316340524018432, 0.37312896686832, 0.37312896686832,          0.498678106329343, 0.418819234777705, 0.471401908473598,          0.585717052475653, 0.615576551193732, 0.66282583229379,          0.390496575840073, 0.390496575840073, 0.738705771798207,          0.949257633150117, 0.472438990852491, 0.445444903624544,          0.445444903624544, 0.445444903624544, 1.12429495075828         ), PROX_CHAS = c(0.177701329016163, 0.147334233235439,          0.101753514952091, 0.0604900109870272, 0.0604900109870272,          0.133705064347241, 0.151261605672147, 0.471401941314913,          0.221659659627321, 0.253975316505048, 0.528800676490504,          0.448788349522024, 0.448788349522024, 0.19051372613691,          0.453083161817035, 0.353464796953762, 0.387886097439527,          0.387886097439527, 0.387886097439527, 0.260044927245007         ), PROX_SUPERMARKET = c(0.177702101069216, 0.147334782275979,          0.101754383553332, 0.0604908810371704, 0.0604908810371704,          0.133704798830233, 0.151260689076964, 0.471402360745676,          0.221659301316653, 0.253974877653299, 0.528799775767506,          0.447693008221967, 0.447693008221967, 0.326764101800336,          0.513065398645433, 0.429218479578941, 0.411626017932148,          0.411626017932148, 0.411626017932148, 0.288903462518554         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 0L,          0L, 2L, 0L, 0L, 0L, 2L, 2L, 3L, 0L, 2L, 2L, 2L, 2L, 3L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 3L, 3L, 2L,          4L, 1L, 2L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 6L         ), WITHIN_350M_BUS = c(11L, 13L, 10L, 8L, 8L, 8L, 12L,          12L, 5L, 6L, 6L, 5L, 5L, 9L, 2L, 7L, 6L, 6L, 6L, 6L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L), DNeighbour = c(0,          56.2177604230798, 80.396051116074, 143.647970932216,          149.788566554196, 288.102141726288, 307.767035914565,          346.133476650193, 381.875017807015, 415.805114378764,          658.620245957522, 846.035951215597, 853.393820189937,          920.987627581267, 1016.12980888123, 1119.42500506372,          1128.52198747976, 1134.74538031696, 1135.95288320441,          1194.18201379518)), row.names = c("815", "212", "218",      "938", "819", "579", "51", "352", "275", "380", "695", "852",      "639", "136", "3", "188", "457", "483", "233", "503"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.995572541290626, 0.990955739472748, 0.97127007642679, 0.968781189605108,      0.886979935323651, 0.871570393913238, 0.839032303067932,      0.805938944192332, 0.772222731777339, 0.484166986625129,      0.248081287634674, 0.239423606533117, 0.164191945122315,      0.0761587316372087, 0.0147096017366796, 0.0114368845740878,      0.00942189372310501, 0.00905233539964657, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1755468849 
R squared (OOB):                  0.4942902 

$Forests[[816]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(945500, 912000, 748000,      753000, 7e+05, 685000, 680000, 8e+05, 680000, 620000, 438888,      476000, 475000, 537000, 5e+05, 375000, 688000, 355000, 407000,      830000), floor_area_sqm = c(87, 87, 107, 87, 93, 93, 91,      90, 85, 103, 80, 103, 103, 106, 103, 82, 85, 82, 82, 94),          storey_order = c(8L, 3L, 2L, 5L, 1L, 4L, 3L, 7L, 2L,          2L, 4L, 2L, 2L, 4L, 1L, 3L, 4L, 2L, 5L, 9L), remaining_lease_mths = c(1143,          1142, 899, 1104, 625, 1115, 984, 1063, 1066, 911, 601,          774, 781, 760, 773, 645, 964, 656, 661, 1088), PROX_CBD = c(2.51922626320824,          2.51922626320824, 2.52364731081334, 2.5775653440094,          2.09358084499411, 2.56060478168524, 2.86455481676114,          2.97610984462207, 2.96405104980333, 2.86182045335715,          3.37234644442932, 3.09516181063763, 3.09516181063763,          3.12641734116327, 3.24578829573265, 3.68559345068932,          3.98134497452694, 3.73116287154914, 3.63085360417079,          1.64296215322618), PROX_ELDERLYCARE = c(1.25853619714168e-06,          1.25853619714168e-06, 0.132133546591398, 0.283170941801308,          0.442569764285143, 0.303984777605612, 0.111411798512938,          0.249991250520312, 0.206690358794928, 0.334062202372697,          0.401810150563083, 0.614909460801077, 0.614909460801077,          0.570344367187993, 0.461566734593474, 0.466665237090727,          0.168717999980802, 0.501456868829436, 0.233260955843543,          0.294850727643248), PROX_HAWKER = c(0.187177165934232,          0.187177165934232, 0.315417458803045, 0.447120961378381,          0.103399879312882, 0.450094806637729, 0.302651224916382,          0.405863058813757, 0.344572110572533, 0.231089093207534,          0.449139985411189, 0.524942013349153, 0.524942013349153,          0.582032517556358, 0.461305554076076, 0.28293755865871,          0.262344394473714, 0.311969910328466, 0.0974836441417274,          0.280083683397779), PROX_MRT = c(0.243725266054354, 0.243725266054354,          0.277076743329557, 0.499107329029013, 0.681532284353367,          0.546591463865751, 0.391395986196982, 0.337225216160626,          0.377919714857806, 0.819080841065402, 0.537190991659238,          1.19880844528061, 1.19880844528061, 1.19588154804183,          1.11057161001852, 1.17490863944549, 0.310254962870727,          1.10221151459309, 0.897060452829867, 0.262926729358016         ), PROX_PARK = c(0.28862748451296, 0.28862748451296,          0.163253442595557, 0.18481391877062, 0.400473707610266,          0.21329655328302, 0.399002951856213, 0.4671588721782,          0.495024008458079, 0.609617368578913, 0.408351250353425,          0.971409228458194, 0.971409228458194, 0.971029675538415,          0.856773721705297, 0.304435062988112, 0.894232249415992,          0.271761978726623, 0.512523364266062, 0.366095429090919         ), PROX_GOOD_PRISCH = c(4.50145006484821, 4.50145006484821,          4.61812725480087, 4.89009258041755, 4.81109980295855,          4.93746215949662, 4.71207116352008, 4.56048774292729,          4.62297298452196, 5.1514664212482, 3.70512913004722,          5.46565510857314, 5.46565510857314, 5.52416256345089,          5.51078547454581, 5.15997579188296, 3.868083844602, 5.22570836776045,          5.4842432173218, 6.02306971378175), PROX_MALL = c(0.244046547559164,          0.244046547559164, 0.290995843291254, 0.524781909718914,          0.685370188976197, 0.572150632107275, 0.420489734799516,          0.362094853274792, 0.404565296260845, 0.848351644608041,          0.743612757274357, 1.2281628510896, 1.2281628510896,          1.29251563056945, 1.33172083977874, 1.3376464242075,          1.18273225000282, 1.41171259857663, 1.51733094855201,          0.44820920236387), PROX_CHAS = c(0.0462846720247782,          0.0462846720247782, 0.0122221533760307, 0.0301364724824846,          0.165994533154508, 0.0640474788759872, 0.110042750971165,          0.111500209373212, 0.0506108453744785, 0.159666076311523,          0.499618186459994, 0.240903750709302, 0.240903750709302,          0.202999736112437, 0.0869328465249217, 0.216565147674259,          0.145112311632742, 0.261237260735983, 0.318203164684035,          0.0951865321113252), PROX_SUPERMARKET = c(0.169442491353445,          0.169442491353445, 0.0373112013983995, 0.275738565320567,          0.346795592234613, 0.315915165677582, 0.110042446678578,          0.111500172768761, 0.0506107476035619, 0.360029455717415,          0.499617451823641, 0.240902416159861, 0.240902416159861,          0.202998478162502, 0.0869315055470345, 0.252487697752149,          0.252387257990654, 0.301923436189205, 0.318204198369299,          0.28799517805095), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L,          1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L, 6L,          4L, 4L, 4L, 4L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 3L,          3L, 1L, 6L), WITHIN_350M_BUS = c(4L, 4L, 6L, 3L, 7L,          3L, 7L, 4L, 7L, 4L, 8L, 4L, 4L, 5L, 6L, 10L, 12L, 9L,          11L, 9L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 1L, 3L,          4L, 3L, 4L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 1L, 2L, 2L, 1L         ), DNeighbour = c(0, 8.11874265622326, 126.545285326896,          441.149017417696, 445.474025488326, 483.492280166824,          495.350965330517, 513.900538241075, 537.717426968778,          842.469894017153, 962.18865659846, 1234.4582005112, 1239.94854398501,          1296.80622746251, 1355.44385183881, 1463.02164837876,          1473.29298942272, 1538.35173106711, 1599.98285127017,          1605.77501010758)), row.names = c("816", "550", "65",      "999", "824", "390", "968", "319", "389", "561", "69", "126",      "134", "48", "192", "683", "375", "432", "742", "850"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999948875084165, 0.987617684490189, 0.854747079436882,      0.851999464176904, 0.826901519663947, 0.818734551596767,      0.805648169851212, 0.788305337325363, 0.525251480627246,      0.410820988714993, 0.167285555743764, 0.163003481747204,      0.120964849944489, 0.0826479435726008, 0.0288649051127946,      0.0250272808857343, 0.00675897825187617, 5.18565450059005e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11639221245 
R squared (OOB):                  0.6274493 

$Forests[[817]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 350000, 320000,      330000, 332000, 310000, 330000, 338000, 330000, 342000, 313000,      4e+05, 375000, 3e+05, 370000, 368000, 390000, 385000, 425000,      395888), floor_area_sqm = c(104, 107, 107, 105, 104, 104,      104, 103, 105, 105, 103, 100, 100, 94, 92, 100, 91, 90, 93,      94), storey_order = c(2L, 3L, 1L, 1L, 3L, 3L, 3L, 4L, 1L,      4L, 4L, 5L, 5L, 2L, 3L, 2L, 2L, 3L, 3L, 3L), remaining_lease_mths = c(840,      910, 909, 909, 838, 838, 847, 836, 896, 822, 823, 923, 935,      817, 922, 937, 956, 1060, 1029, 1063), PROX_CBD = c(18.6954685875173,      18.8361111070307, 18.5552891680356, 18.4634083712346, 18.3394484051955,      18.2872060948971, 18.238428451998, 18.1853470145009, 17.9794873864528,      18.4174433264455, 19.0236365771618, 18.2155576397088, 18.2155576397088,      18.4835571341017, 18.2744201988815, 18.1853912561079, 17.980006840849,      17.6242343596777, 18.2498667293237, 18.1899007658477), PROX_ELDERLYCARE = c(1.96536267509963,      2.10089317294022, 1.77696496808422, 1.70649895251479, 1.68689945441126,      1.57361264937598, 1.49823830734066, 1.46334015610348, 1.20397588034421,      2.01990466694452, 2.54744167947726, 1.82774218733134, 1.82774218733134,      2.12772209584432, 1.91030467455468, 1.83831888483507, 1.69038013517483,      0.892136309268664, 2.08641833813892, 2.0412967820292), PROX_HAWKER = c(0.696312293428963,      0.811063273063077, 0.788681622626877, 0.656056303664779,      0.322806547864559, 0.464971900021808, 0.548143788898404,      0.490406092071559, 0.736691454978467, 0.365194571711665,      0.905177457311038, 0.218122417644225, 0.218122417644225,      0.47819209562201, 0.292675997882175, 0.267411626133086, 0.32947027962251,      0.816419857336687, 0.574007707230075, 0.56403310040428),          PROX_MRT = c(1.06426899086337, 1.15964764660018, 1.18994045686449,          1.05945750202888, 0.722989849955079, 0.870907467758581,          0.950317003394984, 0.888080533877704, 1.05284557964442,          0.394110762668951, 0.985299554465195, 0.24629140143503,          0.24629140143503, 0.440067919828323, 0.25859759791353,          0.186589372260449, 0.131298797620671, 0.729175757939742,          0.270260950193414, 0.225540054498686), PROX_PARK = c(0.939968281858902,          0.99599902820202, 0.662341635279621, 0.707700114575514,          0.845903786092674, 0.791043930625847, 0.690805332809177,          0.741201414908801, 0.555889077383573, 0.305293053539538,          0.583731630523903, 0.449638685926872, 0.449638685926872,          0.199823808978303, 0.366705585759005, 0.431621232177097,          0.597192139646456, 0.830497330619545, 0.261745107633199,          0.321396863181507), PROX_GOOD_PRISCH = c(8.03533881462458,          8.17598486214089, 7.9054148179446, 7.80883552790736,          7.67457853159282, 7.62743554697163, 7.58243576478886,          7.52724739525134, 7.33264137396139, 7.75189187586876,          8.3582852678982, 7.54917724573578, 7.54917724573578,          7.82005706650481, 7.60907430161507, 7.51998659904145,          7.31481473864251, 6.97273607492461, 7.5938744989762,          7.5338271442293), PROX_MALL = c(0.50227152913363, 0.605524804958104,          0.238299753757691, 0.25445476080495, 0.270650184250749,          0.369641594977131, 0.291730094824992, 0.362005799982455,          0.387548928263219, 0.368677515727611, 0.880738168625507,          0.249434383428027, 0.249434383428027, 0.482762920255867,          0.31638525459609, 0.304347432784639, 0.38257003715367,          0.671391539314818, 0.606938778613173, 0.601163950940652         ), PROX_CHAS = c(0.387978032092424, 0.526621492045347,          0.177138384703249, 0.163921847201363, 0.186439783883369,          0.000458346083760352, 0.0811018368302058, 0.11010335009361,          0.324283073315245, 0.279695275413424, 0.162790585292827,          0.246283235408848, 0.246283235408848, 0.297885151722028,          0.258594927218762, 0.186582621643492, 0.131281394661179,          0.0497500971788425, 0.270276303087269, 0.225556636612455         ), PROX_SUPERMARKET = c(0.500728516827066, 0.596975645906049,          0.237159648524433, 0.25256410508494, 0.279112228601587,          0.367596841627256, 0.289827711639516, 0.36017462873485,          0.337417678694655, 0.3481604922123, 0.258877921583013,          0.233030240431279, 0.233030240431279, 0.402675729717655,          0.297968471640837, 0.289364184128333, 0.37748716441855,          0.442456788826315, 0.384544806397502, 0.37174850741073         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 3L, 4L, 4L, 6L,          4L, 7L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 4L, 4L,          3L, 4L, 3L, 7L, 4L, 7L, 7L, 9L, 7L, 7L, 5L, 2L, 6L, 5L         ), WITHIN_350M_BUS = c(8L, 4L, 10L, 12L, 11L, 9L, 10L,          11L, 9L, 14L, 11L, 15L, 15L, 12L, 17L, 16L, 14L, 12L,          11L, 13L), WITHIN_1KM_PRISCH = c(5L, 4L, 4L, 4L, 6L,          5L, 4L, 5L, 5L, 5L, 2L, 6L, 6L, 5L, 5L, 4L, 3L, 4L, 4L,          4L), DNeighbour = c(0, 134.057123165869, 272.244267472912,          274.585538920102, 403.59119536407, 415.331371014829,          465.406768191331, 515.750925953298, 769.707710152979,          776.529902942667, 817.376483651977, 820.716083291727,          829.914473173056, 846.38242501212, 846.783665723333,          886.779351590273, 1024.15765370885, 1091.44048603451,          1122.91923599701, 1148.82326989253)), row.names = c("817",      "906", "169", "748", "693", "414", "839", "857", "870", "257",      "248", "643", "571", "774", "835", "31", "910", "300", "369",      "422"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.972951923365132,      0.89083786560625, 0.889007644353454, 0.768396792653969, 0.755678599141784,      0.698696995758014, 0.637529233437563, 0.303716199073991,      0.294970450800301, 0.243820380242285, 0.239744093455702,      0.228610712941806, 0.209046712178818, 0.20857627110695, 0.163350804334685,      0.0421300823584092, 0.00948743115800029, 0.00198810863813393,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       904828970 
R squared (OOB):                  0.2865329 

$Forests[[818]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 342000, 390000,      4e+05, 390000, 395000, 415000, 428000, 412000, 390000, 455000,      537000, 518000, 483000, 535000, 495000, 5e+05, 553000, 520000,      425000), floor_area_sqm = c(104, 105, 105, 104, 105, 104,      106, 112, 104, 104, 112, 93, 93, 93, 93, 93, 93, 93, 93,      104), storey_order = c(1L, 1L, 3L, 3L, 3L, 2L, 3L, 1L, 3L,      2L, 1L, 4L, 2L, 2L, 3L, 2L, 3L, 4L, 3L, 3L), remaining_lease_mths = c(919,      904, 911, 903, 921, 905, 919, 892, 891, 906, 896, 1128, 1132,      1129, 1131, 1131, 1131, 1134, 1133, 871), PROX_CBD = c(13.4266027498608,      13.3769343120963, 13.3796709379934, 13.3287778793447, 13.4627621473458,      13.6654936015449, 13.4239402990732, 13.9733994982273, 14.1568072460962,      14.1961571609712, 14.0913802169285, 14.1022978560303, 14.0392008059995,      13.9851487819813, 13.9851487819813, 14.1234549986629, 13.8777465201196,      13.8021184722805, 13.7835124985007, 14.0236082538335), PROX_ELDERLYCARE = c(2.17127601573547,      2.13793612643937, 2.22474645739358, 2.1917657327852, 2.3602438602499,      2.4559089786438, 2.35754914737924, 2.73602573538322, 2.56669577269824,      2.56528175499621, 1.71411655426264, 1.39999761805574, 1.32747908409073,      1.27246652758392, 1.27246652758392, 1.35242241046818, 1.14875617578224,      1.08391670289184, 1.04590518035641, 1.09340394122649), PROX_HAWKER = c(1.79623369603986,      1.83400406292357, 1.93918128958002, 1.97547555130032, 1.98731518790586,      1.8007485076056, 2.04148614266885, 1.72752929984142, 1.398882753411,      1.37564916931309, 0.659732742059419, 0.488105393549706, 0.543253862226502,      0.59565400543288, 0.59565400543288, 0.458626901673037, 0.709523473368326,      0.792084042786722, 0.817574416707151, 0.594999289424802),          PROX_MRT = c(1.55284801629317, 1.58891799000297, 1.69795623670388,          1.73242783606755, 1.75308710953532, 1.57537750219681,          1.80644454579453, 1.52912572857094, 1.21408476422274,          1.19597144129318, 0.410797330392975, 0.255700458734308,          0.327704984287647, 0.390641440388092, 0.390641440388092,          0.250036690549804, 0.526263367583387, 0.615458599020507,          0.648112836468654, 0.469886084443941), PROX_PARK = c(0.713305409065456,          0.736187117229036, 0.863182736105437, 0.88512129863374,          0.956537089868377, 0.850306194456086, 1.00169815399328,          0.916601452818718, 0.574460502508352, 0.541272645896965,          0.524242894978874, 0.52092144022497, 0.547177414231792,          0.580591669210194, 0.580591669210194, 0.469588575534173,          0.548712671125698, 0.476945111703218, 0.438074957540257,          0.504422356794811), PROX_GOOD_PRISCH = c(2.87807351257242,          2.85157742620146, 2.95323290488506, 2.92650083991791,          3.09165556928148, 3.15584859653876, 3.09662994187342,          3.4114102230046, 3.36750863472211, 3.39040053008466,          2.83541955823977, 2.69832814229385, 2.61966269686357,          2.55482099432271, 2.55482099432271, 2.69456588548322,          2.41902859908312, 2.33081910479479, 2.3007469286795,          2.51794344218072), PROX_MALL = c(0.808973697710999, 0.857746498744393,          0.921202261186462, 0.968339604524727, 0.924666219790251,          0.710058429219954, 0.980263777031476, 0.596418817267466,          0.280844166366742, 0.270320025824244, 0.471401908473598,          0.257523814996123, 0.316340524018432, 0.37312896686832,          0.37312896686832, 0.232476208076891, 0.498678106329343,          0.585717052475653, 0.615576551193732, 0.418819234777705         ), PROX_CHAS = c(0.374720545025774, 0.418304503654494,          0.396028378293497, 0.447143544638255, 0.335494764547789,          0.111974276762728, 0.386919516068906, 0.126775582068521,          0.192284580165596, 0.176758267598596, 0.471401941314913,          0.177701329016163, 0.101753514952091, 0.0604900109870272,          0.0604900109870272, 0.147334233235439, 0.133705064347241,          0.221659659627321, 0.253975316505048, 0.151261605672147         ), PROX_SUPERMARKET = c(0.196965153344936, 0.224617478786604,          0.347107460725314, 0.37251565902947, 0.370560193975877,          0.207177695926551, 0.409344743904916, 0.159712105919183,          0.192285941870899, 0.176759883249677, 0.471402360745676,          0.177702101069216, 0.101754383553332, 0.0604908810371704,          0.0604908810371704, 0.147334782275979, 0.133704798830233,          0.221659301316653, 0.253974877653299, 0.151260689076964         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 0L, 1L, 1L,          0L, 5L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 1L, 1L, 2L, 3L,          1L, 2L, 3L, 4L, 1L, 4L, 4L, 3L, 3L, 4L, 2L, 2L, 2L, 4L         ), WITHIN_350M_BUS = c(7L, 5L, 8L, 6L, 7L, 12L, 7L, 10L,          9L, 9L, 12L, 11L, 10L, 8L, 8L, 13L, 8L, 5L, 6L, 12L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,          3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L), DNeighbour = c(0,          51.3267394187888, 154.239856267091, 184.656155566739,          255.850670936136, 286.479010535717, 294.830281412168,          580.469904755869, 730.433239405468, 775.966599395638,          1140.14320343272, 1434.88183091199, 1449.82883459735,          1456.31917705393, 1459.67475441872, 1489.40017760926,          1503.68697477593, 1523.58287500311, 1556.740758258, 1659.30080373121         )), row.names = c("818", "965", "222", "949", "155",      "302", "38", "119", "933", "555", "352", "815", "218", "938",      "819", "212", "579", "275", "380", "51"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998087245303221, 0.982793496424906, 0.975384440360148,      0.95301499969394, 0.941272179739525, 0.937853941161671, 0.770217497407312,      0.649989351883816, 0.61043989915722, 0.278638747500946, 0.0636078234645722,      0.0559537242106786, 0.0527596521654175, 0.0511396642712604,      0.0377530726235771, 0.0319588329175262, 0.0246158868109285,      0.0143515636199938, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3511941505 
R squared (OOB):                  0.1430967 

$Forests[[819]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(535000, 483000, 518000,      5e+05, 495000, 537000, 425000, 553000, 520000, 455000, 412000,      455000, 393000, 360000, 362500, 420000, 468000, 448000, 450000,      395000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 104,      93, 93, 112, 104, 113, 103, 84, 103, 106, 106, 116, 106,      106), storey_order = c(3L, 2L, 2L, 3L, 2L, 4L, 3L, 4L, 3L,      1L, 2L, 5L, 2L, 3L, 3L, 3L, 5L, 3L, 4L, 2L), remaining_lease_mths = c(1131,      1129, 1132, 1131, 1131, 1128, 871, 1134, 1133, 896, 878,      824, 818, 811, 819, 874, 863, 827, 834, 834), PROX_CBD = c(13.9851487819813,      13.9851487819813, 14.0392008059995, 13.8777465201196, 14.1234549986629,      14.1022978560303, 14.0236082538335, 13.8021184722805, 13.7835124985007,      14.0913802169285, 14.1313829663274, 14.8805910833212, 14.8805910833212,      14.7472020389823, 14.3801998083441, 13.629257933267, 13.629257933267,      15.1039483662242, 15.1256206124729, 15.1256206124729), PROX_ELDERLYCARE = c(1.27246652758392,      1.27246652758392, 1.32747908409073, 1.14875617578224, 1.35242241046818,      1.39999761805574, 1.09340394122649, 1.08391670289184, 1.04590518035641,      1.71411655426264, 0.836104821253693, 1.53481387371296, 1.53481387371296,      1.19052284520552, 0.709377020411434, 0.207468408301612, 0.207468408301612,      1.55233595008815, 1.5866097118695, 1.5866097118695), PROX_HAWKER = c(0.59565400543288,      0.59565400543288, 0.543253862226502, 0.709523473368326, 0.458626901673037,      0.488105393549706, 0.594999289424802, 0.792084042786722,      0.817574416707151, 0.659732742059419, 0.73352935155883, 0.395563323563994,      0.395563323563994, 0.606039227085063, 0.928921275219278,      1.4012681206183, 1.4012681206183, 0.672854909342646, 0.674198133913936,      0.674198133913936), PROX_MRT = c(0.390641440388092, 0.390641440388092,      0.327704984287647, 0.526263367583387, 0.250036690549804,      0.255700458734308, 0.469886084443941, 0.615458599020507,      0.648112836468654, 0.410797330392975, 0.735653331318593,      0.650195396152393, 0.650195396152393, 0.807097621625513,      1.02650412956774, 0.681065013996815, 0.681065013996815, 0.927742831261867,      0.930587839854138, 0.930587839854138), PROX_PARK = c(0.580591669210194,      0.580591669210194, 0.547177414231792, 0.548712671125698,      0.469588575534173, 0.52092144022497, 0.504422356794811, 0.476945111703218,      0.438074957540257, 0.524242894978874, 0.463826523913091,      0.355836862982211, 0.355836862982211, 0.432698189125414,      0.71485218383349, 0.403276931712581, 0.403276931712581, 0.613453702116727,      0.625625874274951, 0.625625874274951), PROX_GOOD_PRISCH = c(2.55482099432271,      2.55482099432271, 2.61966269686357, 2.41902859908312, 2.69456588548322,      2.69832814229385, 2.51794344218072, 2.33081910479479, 2.3007469286795,      2.83541955823977, 2.52734391167264, 3.33079371618761, 3.33079371618761,      3.13467644284063, 2.72778429145315, 1.96779323327463, 1.96779323327463,      3.51513652285447, 3.54140201350838, 3.54140201350838), PROX_MALL = c(0.37312896686832,      0.37312896686832, 0.316340524018432, 0.498678106329343, 0.232476208076891,      0.257523814996123, 0.418819234777705, 0.585717052475653,      0.615576551193732, 0.471401908473598, 0.66282583229379, 0.390496575840073,      0.390496575840073, 0.738705771798207, 0.949257633150117,      1.12429495075828, 1.12429495075828, 0.472438990852491, 0.445444903624544,      0.445444903624544), PROX_CHAS = c(0.0604900109870272, 0.0604900109870272,      0.101753514952091, 0.133705064347241, 0.147334233235439,      0.177701329016163, 0.151261605672147, 0.221659659627321,      0.253975316505048, 0.471401941314913, 0.528800676490504,      0.448788349522024, 0.448788349522024, 0.19051372613691, 0.453083161817035,      0.260044927245007, 0.260044927245007, 0.353464796953762,      0.387886097439527, 0.387886097439527), PROX_SUPERMARKET = c(0.0604908810371704,      0.0604908810371704, 0.101754383553332, 0.133704798830233,      0.147334782275979, 0.177702101069216, 0.151260689076964,      0.221659301316653, 0.253974877653299, 0.471402360745676,      0.528799775767506, 0.447693008221967, 0.447693008221967,      0.326764101800336, 0.513065398645433, 0.288903462518554,      0.288903462518554, 0.429218479578941, 0.411626017932148,      0.411626017932148), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 0L, 1L, 1L, 0L, 0L, 0L, 2L, 0L, 2L, 2L, 3L, 0L, 3L, 3L,      2L, 2L, 2L), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 2L, 4L,      4L, 4L, 2L, 2L, 1L, 3L, 3L, 3L, 2L, 3L, 6L, 6L, 2L, 2L, 2L     ), WITHIN_350M_BUS = c(8L, 8L, 10L, 8L, 13L, 11L, 12L, 5L,      6L, 12L, 6L, 5L, 5L, 9L, 2L, 6L, 6L, 7L, 6L, 6L), WITHIN_1KM_PRISCH = c(1L,      1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L,      2L, 3L, 3L, 3L), DNeighbour = c(0, 6.50063687446818, 69.5644041300091,      138.450664018864, 139.877877307745, 149.788566554196, 206.712374868755,      232.095181428787, 266.267462947151, 448.101824829952, 583.333271029109,      925.507683940765, 933.266636361239, 947.842309880055, 966.27303287456,      1063.18054375907, 1066.10677049246, 1189.98330458572, 1202.35262923502,      1209.44737666502)), row.names = c("819", "938", "218", "579",      "212", "815", "51", "275", "380", "352", "695", "852", "639",      "136", "3", "503", "415", "188", "457", "483"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999942222122639, 0.993394416214072, 0.973962985380106,      0.973427047892731, 0.969558235849787, 0.942429640355847,      0.92770354244514, 0.905411628973627, 0.744300959932885, 0.588861796726011,      0.171744083315429, 0.163669324909773, 0.148854281020435,      0.130825911469577, 0.0516416944741479, 0.0497238690628184,      0.00101937954947936, 0.000136838578836699, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1778508870 
R squared (OOB):                  0.4737831 

$Forests[[820]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(388000, 363000, 392000,      335000, 417000, 340888, 355000, 375000, 320000, 343000, 315000,      297000, 335000, 333000, 3e+05, 335000, 314000, 325000, 330000,      415000), floor_area_sqm = c(104, 104, 113, 114, 92, 107,      104, 108, 91, 107, 90, 90, 90, 108, 106, 105, 91, 90, 91,      104), storey_order = c(6L, 5L, 2L, 3L, 2L, 4L, 4L, 2L, 8L,      2L, 5L, 2L, 3L, 4L, 2L, 2L, 3L, 5L, 1L, 2L), remaining_lease_mths = c(904,      918, 933, 904, 1120, 883, 882, 909, 995, 907, 1001, 995,      979, 895, 941, 938, 985, 992, 987, 875), PROX_CBD = c(16.3777502460772,      16.295166477654, 16.6579104452557, 16.3642048862006, 16.7161737209409,      16.7669966667855, 16.7669966667855, 16.9875722318911, 16.7093180086981,      17.2160129653012, 16.8082045368238, 16.901501451739, 17.0600275230943,      16.5397910410307, 17.3741762112269, 17.3741762112269, 17.0716695500607,      17.2610384590751, 17.2817356498826, 15.8781143296649), PROX_ELDERLYCARE = c(0.465083314136851,      0.514795208711411, 0.409372351007212, 0.361422596457277,      9.26628957858198e-07, 0.121542639162494, 0.121542639162494,      0.636322412867891, 0.935779967581661, 0.574386357445605,      1.15380285023885, 1.16689850532437, 1.09431476347566, 0.706939892416911,      0.815153211361198, 0.815153211361198, 1.21621641692937, 1.12094638660826,      1.19353475005496, 0.633288957745621), PROX_HAWKER = c(1.54627052523026,      1.47281657351752, 1.80129318596364, 1.67761333691466, 1.96687058888139,      2.05474291859885, 2.05474291859885, 2.10596394293278, 1.82495077083007,      2.37357884684332, 1.94950915107796, 2.0413146444202, 2.18272534115171,      2.14655926815246, 2.50067722531469, 2.50067722531469, 2.2102134433082,      2.37726799660773, 2.40388099430384, 1.79301822351461), PROX_MRT = c(0.419412974707088,      0.504795745143921, 0.128609360773056, 0.653367521351592,      0.427108887982576, 0.53300655679357, 0.53300655679357, 0.252669932820992,      0.522077155701705, 0.453815632281196, 0.730447684580082,      0.740013435080822, 0.673816738147829, 0.460645764817668,      0.590831178240684, 0.590831178240684, 0.793158171270894,      0.729621307242001, 0.797812759521718, 0.159697283923578),          PROX_PARK = c(0.571339732684777, 0.48638578612152, 0.826869373992433,          0.32735774848914, 0.688779163701323, 0.722711239268322,          0.722711239268322, 1.18807543108152, 1.17885821480356,          1.24959985284921, 1.39545287332227, 1.46267930314228,          1.5130077643247, 0.711243459523284, 1.47164498360674,          1.47164498360674, 1.59669720594139, 1.64853798443183,          1.70244245234235, 0.678969217742802), PROX_GOOD_PRISCH = c(6.89348817522951,          6.80828229467371, 7.18541951227303, 6.76031366250815,          7.12110535783693, 7.13952904562396, 7.13952904562396,          7.55033959010056, 7.40748446052123, 7.68034428555912,          7.5739079893598, 7.66085245964853, 7.76907239486735,          6.77397603493671, 7.888904100652, 7.888904100652, 7.82238149093771,          7.93716312588154, 7.98012169831377, 6.09357654169244),          PROX_MALL = c(0.427317836890542, 0.510483215269896, 0.168053149288668,          0.388175183991252, 0.337595745740984, 0.27529824968273,          0.27529824968273, 0.165557901737932, 0.484270435079706,          0.413606644895247, 0.677813655888015, 0.678684538412688,          0.597930181439745, 0.345326846187852, 0.521008948961951,          0.521008948961951, 0.719585865775528, 0.644198936007264,          0.713200150273906, 0.145699923430919), PROX_CHAS = c(0.429996386722335,          0.513107963149175, 0.170995488718356, 0.380772978950647,          0.279591917356114, 0.222759343861358, 0.222759343861358,          0.194474796894964, 0.52365796939069, 0.303266380929536,          0.71936188995133, 0.720584477651296, 0.638199243310692,          0.286223989121013, 0.524369302913132, 0.524369302913132,          0.760340467100735, 0.678651577140463, 0.748586514709626,          0.0723222156351423), PROX_SUPERMARKET = c(0.386156989530241,          0.471223408024363, 0.103652200866821, 0.422789252098693,          0.344537051235884, 0.243987988302975, 0.243987988302975,          0.284398337107734, 0.555366708418936, 0.387759857324111,          0.768274584157999, 0.780695486504835, 0.718466194952364,          0.377165028023417, 0.559408220033625, 0.559408220033625,          0.837223205851576, 0.771245719522698, 0.842475689687135,          0.157892159590583), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          5L, 4L, 6L, 5L, 5L, 4L, 1L, 5L, 1L, 1L, 2L, 1L, 4L, 4L,          2L, 3L, 3L, 3L), WITHIN_350M_BUS = c(8L, 7L, 9L, 6L,          12L, 11L, 11L, 11L, 8L, 5L, 9L, 7L, 7L, 2L, 2L, 2L, 5L,          5L, 5L, 7L), WITHIN_1KM_PRISCH = c(4L, 3L, 4L, 3L, 4L,          3L, 3L, 4L, 3L, 4L, 2L, 2L, 2L, 3L, 4L, 4L, 2L, 2L, 2L,          3L), DNeighbour = c(0, 86.4019502383659, 289.094802323674,          391.245326124464, 462.730892189705, 575.881801261892,          578.701255710808, 657.862663210988, 696.78319696835,          835.435854289674, 924.771466011951, 978.956794898587,          986.018286522408, 1002.8120027551, 1008.81273466156,          1009.71973253275, 1086.42971039815, 1098.41496192406,          1156.5330833745, 1235.07846680726)), row.names = c("820",      "451", "918", "252", "261", "673", "898", "125", "156", "326",      "121", "416", "208", "498", "813", "822", "431", "525", "127",      "510"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.990236085223384,      0.893424289278797, 0.809373511677628, 0.738967299653454,      0.612448602515725, 0.609113006523309, 0.513065062065946,      0.464745267257013, 0.294253648308841, 0.193042130512174,      0.138192197527015, 0.131511990427174, 0.116110760714679,      0.110780408364627, 0.109982908438402, 0.0511781751204849,      0.0437059005705073, 0.0151650697649243, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       635604717 
R squared (OOB):                  0.4824071 

$Forests[[821]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(650000, 640000, 580000,      725000, 590000, 580000, 660000, 515000, 620000, 560000, 451000,      520000, 409500, 418000, 446000, 488000, 480000, 385000, 465000,      678000), floor_area_sqm = c(90, 90, 90, 90, 90, 108, 105,      84, 103, 105, 83, 107, 84, 84, 94, 104, 94, 93, 91, 92),          storey_order = c(6L, 2L, 1L, 9L, 2L, 8L, 6L, 4L, 4L,          2L, 8L, 2L, 3L, 3L, 2L, 1L, 6L, 1L, 2L, 3L), remaining_lease_mths = c(1011,          1011, 1006, 995, 996, 760, 748, 804, 742, 913, 604, 892,          807, 804, 723, 776, 725, 772, 764, 1103), PROX_CBD = c(2.65695642963531,          2.65695642963531, 2.65695642963531, 2.61519687417969,          2.69989267302812, 2.26543941452074, 3.5952466633456,          3.75781957676323, 3.79744534670369, 3.91005014077452,          3.63056019358172, 4.23142849537126, 4.20973993763024,          4.20973993763024, 4.45295385586978, 4.16405648472164,          4.50933618399607, 4.25035751849909, 4.28329341592686,          3.93031212371417), PROX_ELDERLYCARE = c(0.3590471791371,          0.3590471791371, 0.3590471791371, 0.386066702151211,          0.352346052518342, 0.404007374923036, 0.354500614782039,          0.582389211118023, 0.296175206272889, 0.449207181019876,          0.124703716495981, 0.272010492111063, 0.156291063754703,          0.156291063754703, 0.645271528549996, 0.434539750657667,          0.665866395733666, 0.411587417191489, 0.4193003334471,          0.159701117649001), PROX_HAWKER = c(0.48810855559281,          0.48810855559281, 0.48810855559281, 0.52081126471543,          0.468835135082758, 0.210544550468706, 0.311385334077859,          0.393163811818296, 0.300770398866256, 0.464701711390969,          0.0619655343942362, 0.392124905911543, 0.46881842734995,          0.46881842734995, 0.601904675681234, 0.502732414569621,          0.665007751295857, 0.610932712322496, 0.638679046714181,          0.374782156946409), PROX_MRT = c(0.285614625668497, 0.285614625668497,          0.285614625668497, 0.320255480062021, 0.230131940688868,          0.306886682672286, 0.16267041353008, 0.434583879195091,          0.195276091150508, 0.361698258812245, 0.188513622979597,          0.870814763860364, 0.750034220630686, 0.750034220630686,          0.66128766903618, 0.518003091395578, 0.549595780709265,          0.605174310138743, 0.637237645879563, 0.57487373386568         ), PROX_PARK = c(0.426964305014519, 0.426964305014519,          0.426964305014519, 0.427354201328866, 0.41386436288237,          0.0441643212802781, 0.796125682214674, 0.885911587583127,          0.620239922284967, 0.651892034671684, 0.634729277660292,          0.989030190878471, 0.828179073128827, 0.828179073128827,          0.473457593144303, 0.269719137898212, 0.353281501558379,          0.346786980248178, 0.336599362476296, 0.43227753152338         ), PROX_GOOD_PRISCH = c(4.78575462214909, 4.78575462214909,          4.78575462214909, 4.82322880287643, 4.75214496578899,          5.27420554603454, 4.26949140427292, 3.98479480133756,          4.13618512399158, 3.96984616110429, 4.47678155678584,          3.47561641519302, 3.58178441884724, 3.58178441884724,          3.02211493728223, 3.99853475328204, 2.94429219434277,          3.87277035706644, 3.85984302070176, 4.55218800106713),          PROX_MALL = c(0.412388661644518, 0.412388661644518, 0.412388661644518,          0.426721378040506, 0.380876218870723, 0.216535056802411,          0.962766222186716, 1.1081035152608, 1.16769889708728,          1.2652175398851, 0.917363569028491, 1.1888213641646,          1.26743973989934, 1.26743973989934, 0.570379319619026,          1.00998414702412, 0.485349818185599, 0.955673327573223,          0.92062293894618, 1.09934779211931), PROX_CHAS = c(0.260712311456847,          0.260712311456847, 0.260712311456847, 0.297575542785259,          0.202908600866322, 0.146883739415237, 0.0963682910788478,          0.345906079563203, 0.121619853002556, 0.108899254787234,          0.112941217538546, 0.106822211501606, 0.163154212627783,          0.163154212627783, 0.303272176186244, 0.147909276913635,          0.331046161101227, 0.260827480873255, 0.285886541141976,          0.304936065418075), PROX_SUPERMARKET = c(0.447218369070658,          0.447218369070658, 0.447218369070658, 0.470018893217644,          0.44532403657541, 0.186677322210676, 0.269187390315468,          0.128350069204848, 0.191561540751545, 0.115229795891962,          0.0867224629960944, 0.139079920157556, 0.118448079318654,          0.118448079318654, 0.34627255092781, 0.506391752127701,          0.325943517329761, 0.512280309006142, 0.506434284786685,          0.35411008396507), WITHIN_350M_KINDERGARTEN = c(2L, 2L,          2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 0L, 2L, 1L, 1L, 0L, 1L,          0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L,          2L, 2L, 1L, 4L, 4L, 4L, 4L, 5L, 6L, 3L, 3L, 1L, 6L, 1L,          5L, 4L, 3L), WITHIN_350M_BUS = c(3L, 3L, 3L, 3L, 4L,          3L, 6L, 3L, 5L, 5L, 4L, 7L, 7L, 7L, 6L, 5L, 5L, 5L, 5L,          5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 0L, 3L, 3L, 1L),          DNeighbour = c(0, 1.40648353907805, 5.82436901581194,          54.5066071970268, 63.8993038144417, 579.354615561604,          1251.67451608351, 1265.33630400956, 1442.97224513032,          1482.30764185086, 1490.56631732328, 1651.88209684839,          1665.8054645462, 1671.53439619816, 1788.31967817968,          1843.75773851303, 1851.3696755334, 1881.34441271798,          1921.37809064744, 1924.23066345586)), row.names = c("821",      "521", "246", "923", "796", "398", "699", "234", "952", "176",      "237", "849", "382", "907", "346", "223", "622", "19", "747",      "801"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999998931474416,      0.999981676370163, 0.998395869256542, 0.997795711367665,      0.826914813785676, 0.332784909297118, 0.322156208359115,      0.191543196366466, 0.165307014377056, 0.159959003249488,      0.0691901181540113, 0.0627825328346805, 0.0602215244870205,      0.0185705728301586, 0.00670641098151756, 0.0055199306281317,      0.00194289005302397, 8.77758709596126e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12856832165 
R squared (OOB):                  -0.3011863 

$Forests[[822]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 3e+05, 343000,      375000, 325000, 330000, 335000, 392000, 314000, 417000, 320000,      297000, 340888, 355000, 315000, 388000, 363000, 335000, 333000,      385000), floor_area_sqm = c(105, 106, 107, 108, 90, 91, 90,      113, 91, 92, 91, 90, 107, 104, 90, 104, 104, 114, 108, 104     ), storey_order = c(2L, 2L, 2L, 2L, 5L, 1L, 3L, 2L, 3L, 2L,      8L, 2L, 4L, 4L, 5L, 6L, 5L, 3L, 4L, 1L), remaining_lease_mths = c(938,      941, 907, 909, 992, 987, 979, 933, 985, 1120, 995, 995, 883,      882, 1001, 904, 918, 904, 895, 863), PROX_CBD = c(17.3741762112269,      17.3741762112269, 17.2160129653012, 16.9875722318911, 17.2610384590751,      17.2817356498826, 17.0600275230943, 16.6579104452557, 17.0716695500607,      16.7161737209409, 16.7093180086981, 16.901501451739, 16.7669966667855,      16.7669966667855, 16.8082045368238, 16.3777502460772, 16.295166477654,      16.3642048862006, 16.5397910410307, 16.2492480828887), PROX_ELDERLYCARE = c(0.815153211361198,      0.815153211361198, 0.574386357445605, 0.636322412867891,      1.12094638660826, 1.19353475005496, 1.09431476347566, 0.409372351007212,      1.21621641692937, 9.26628957858198e-07, 0.935779967581661,      1.16689850532437, 0.121542639162494, 0.121542639162494, 1.15380285023885,      0.465083314136851, 0.514795208711411, 0.361422596457277,      0.706939892416911, 0.836071823435323), PROX_HAWKER = c(2.50067722531469,      2.50067722531469, 2.37357884684332, 2.10596394293278, 2.37726799660773,      2.40388099430384, 2.18272534115171, 1.80129318596364, 2.2102134433082,      1.96687058888139, 1.82495077083007, 2.0413146444202, 2.05474291859885,      2.05474291859885, 1.94950915107796, 1.54627052523026, 1.47281657351752,      1.67761333691466, 2.14655926815246, 2.17952287051713), PROX_MRT = c(0.590831178240684,      0.590831178240684, 0.453815632281196, 0.252669932820992,      0.729621307242001, 0.797812759521718, 0.673816738147829,      0.128609360773056, 0.793158171270894, 0.427108887982576,      0.522077155701705, 0.740013435080822, 0.53300655679357, 0.53300655679357,      0.730447684580082, 0.419412974707088, 0.504795745143921,      0.653367521351592, 0.460645764817668, 0.290093838525113),          PROX_PARK = c(1.47164498360674, 1.47164498360674, 1.24959985284921,          1.18807543108152, 1.64853798443183, 1.70244245234235,          1.5130077643247, 0.826869373992433, 1.59669720594139,          0.688779163701323, 1.17885821480356, 1.46267930314228,          0.722711239268322, 0.722711239268322, 1.39545287332227,          0.571339732684777, 0.48638578612152, 0.32735774848914,          0.711243459523284, 0.886796559947336), PROX_GOOD_PRISCH = c(7.888904100652,          7.888904100652, 7.68034428555912, 7.55033959010056, 7.93716312588154,          7.98012169831377, 7.76907239486735, 7.18541951227303,          7.82238149093771, 7.12110535783693, 7.40748446052123,          7.66085245964853, 7.13952904562396, 7.13952904562396,          7.5739079893598, 6.89348817522951, 6.80828229467371,          6.76031366250815, 6.77397603493671, 6.4097782056775),          PROX_MALL = c(0.521008948961951, 0.521008948961951, 0.413606644895247,          0.165557901737932, 0.644198936007264, 0.713200150273906,          0.597930181439745, 0.168053149288668, 0.719585865775528,          0.337595745740984, 0.484270435079706, 0.678684538412688,          0.27529824968273, 0.27529824968273, 0.677813655888015,          0.427317836890542, 0.510483215269896, 0.388175183991252,          0.345326846187852, 0.355568776497803), PROX_CHAS = c(0.524369302913132,          0.524369302913132, 0.303266380929536, 0.194474796894964,          0.678651577140463, 0.748586514709626, 0.638199243310692,          0.170995488718356, 0.760340467100735, 0.279591917356114,          0.52365796939069, 0.720584477651296, 0.222759343861358,          0.222759343861358, 0.71936188995133, 0.429996386722335,          0.513107963149175, 0.380772978950647, 0.286223989121013,          0.121251060497272), PROX_SUPERMARKET = c(0.559408220033625,          0.559408220033625, 0.387759857324111, 0.284398337107734,          0.771245719522698, 0.842475689687135, 0.718466194952364,          0.103652200866821, 0.837223205851576, 0.344537051235884,          0.555366708418936, 0.780695486504835, 0.243987988302975,          0.243987988302975, 0.768274584157999, 0.386156989530241,          0.471223408024363, 0.422789252098693, 0.377165028023417,          0.350013224352412), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 2L, 2L, 1L,          0L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          5L, 4L, 3L, 3L, 2L, 5L, 2L, 6L, 1L, 1L, 5L, 5L, 1L, 3L,          3L, 4L, 1L, 4L), WITHIN_350M_BUS = c(2L, 2L, 5L, 11L,          5L, 5L, 7L, 9L, 5L, 12L, 8L, 7L, 11L, 11L, 9L, 8L, 7L,          6L, 2L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 2L,          2L, 2L, 4L, 2L, 4L, 3L, 2L, 3L, 3L, 2L, 4L, 3L, 3L, 3L,          3L), DNeighbour = c(0, 3.56824704781043, 259.504205995032,          404.470359300292, 521.688509481821, 586.206960982509,          654.129127671718, 724.50342987837, 767.667281342435,          813.523442961261, 816.535657001442, 834.62853342777,          851.953256397034, 854.654199878247, 889.231494023066,          1009.71973253275, 1096.09612115503, 1156.58769501156,          1441.95589981587, 1902.07442221043)), row.names = c("822",      "813", "326", "125", "525", "127", "208", "918", "431", "261",      "156", "416", "673", "898", "121", "820", "451", "252", "498",      "711"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999992961436214,      0.963118978861426, 0.911607267598476, 0.855207091474778,      0.819055355058599, 0.777449056582593, 0.730877734247665,      0.700755269754127, 0.667603247746616, 0.665387284524297,      0.651984150307621, 0.639006687685851, 0.636971377583663,      0.610645344411747, 0.51580593916828, 0.446117585684116, 0.397221564440389,      0.180871368418079, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       601688748 
R squared (OOB):                  0.4304088 

$Forests[[823]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(580000, 705000, 708000,      545000, 380000, 678000, 451000, 685000, 710000, 520000, 740000,      290000, 518000, 416000, 790000, 488000, 390000, 430000, 660000,      620000), floor_area_sqm = c(90, 90, 90, 101, 89, 92, 83,      102, 101, 101, 95, 87, 93, 91, 95, 104, 84, 92, 105, 103),          storey_order = c(5L, 7L, 5L, 1L, 5L, 3L, 8L, 4L, 2L,          1L, 4L, 1L, 4L, 4L, 6L, 1L, 1L, 2L, 6L, 4L), remaining_lease_mths = c(1035,          1041, 1031, 938, 653, 1103, 604, 929, 933, 929, 954,          643, 736, 713, 946, 776, 783, 687, 748, 742), PROX_CBD = c(3.73787601157873,          3.66612298934168, 3.56091441303422, 3.59494173601466,          4.19301197437796, 3.93031212371417, 3.63056019358172,          4.15915934561343, 4.27954241101507, 4.23995407977096,          4.09909964212454, 4.35364804731157, 4.29040868967057,          5.10609859014938, 4.0690703028165, 4.16405648472164,          4.91139217141794, 5.17330173892321, 3.5952466633456,          3.79744534670369), PROX_ELDERLYCARE = c(0.836612932336762,          0.851600940224316, 0.885388735780595, 0.692364880740494,          1.05465194719342, 0.159701117649001, 0.124703716495981,          1.31127122179184, 1.2084977158608, 1.29004325258708,          1.44919747885979, 0.402111762367986, 1.28169673214061,          0.320090253923576, 1.5676876481467, 0.434539750657667,          0.53976690699019, 0.151830290872251, 0.354500614782039,          0.296175206272889), PROX_HAWKER = c(0.15676751515481,          0.157376553669701, 0.210501859943959, 0.142789347249218,          0.297392426102438, 0.374782156946409, 0.0619655343942362,          0.296724849746491, 0.32780610994166, 0.242979724501726,          0.17841116959893, 0.52502919100195, 0.224814451985556,          0.333568708255903, 0.124697776657811, 0.502732414569621,          0.526793317066312, 0.261285820740611, 0.311385334077859,          0.300770398866256), PROX_MRT = c(0.349678715281184, 0.281331556481731,          0.1853881461208, 0.346622733589529, 0.670866804568908,          0.57487373386568, 0.188513622979597, 0.361454140857751,          0.45128979061194, 0.369514902074349, 0.212082976996148,          0.698417082344063, 0.386818680985449, 0.549226257235714,          0.103251860461982, 0.518003091395578, 0.348715950460643,          0.568944969773001, 0.16267041353008, 0.195276091150508         ), PROX_PARK = c(1.14436990313984, 1.07330463343821,          0.969171323132551, 1.03638785093261, 1.34668044149268,          0.43227753152338, 0.634729277660292, 0.424082148410156,          0.496161896442625, 0.410157320226128, 0.271559050503854,          0.0959047492621704, 0.41256712340984, 0.534309547143458,          0.13380185088312, 0.269719137898212, 0.454973393404149,          0.375618223612072, 0.796125682214674, 0.620239922284967         ), PROX_GOOD_PRISCH = c(4.42346384619917, 4.46068770698473,          4.51522724145722, 4.68517728936996, 4.04417128338034,          4.55218800106713, 4.47678155678584, 3.27316539077024,          3.1984009939005, 3.17375518133788, 3.22696055518642,          4.11088283479722, 3.11124078456354, 3.68539306501406,          3.17062142916436, 3.99853475328204, 3.07957394860643,          3.5160560831601, 4.26949140427292, 4.13618512399158),          PROX_MALL = c(1.03774509228272, 0.971442928620489, 0.87678025015548,          0.814872047472938, 1.51326780463499, 1.09934779211931,          0.917363569028491, 1.03381347643634, 1.15459749844864,          1.09860538958518, 0.944512912155433, 0.801857467962545,          1.14104925826379, 1.13513631747826, 0.898524741072254,          1.00998414702412, 0.779372162435287, 0.96360119165526,          0.962766222186716, 1.16769889708728), PROX_CHAS = c(0.0809467071188201,          0.108213750221125, 0.0998361253719761, 0.0573592222158038,          0.212246176955017, 0.304936065418075, 0.112941217538546,          0.22718451096924, 0.151798893835737, 0.128246501394164,          0.199996678091121, 0.130252709580884, 0.0683025043642396,          0.37199840586913, 0.162166521351491, 0.147909276913635,          0.297280152993809, 0.213267381067323, 0.0963682910788478,          0.121619853002556), PROX_SUPERMARKET = c(0.184584314799668,          0.131005301990959, 0.103744685928207, 0.0573596645426592,          0.306178228663922, 0.35411008396507, 0.0867224629960944,          0.31622643534726, 0.314587216673928, 0.23908756643158,          0.232527384837024, 0.591301773724787, 0.200251285306447,          0.424647979009491, 0.209119590970966, 0.506391752127701,          0.212061147632098, 0.266791583668656, 0.269187390315468,          0.191561540751545), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 1L, 0L, 4L, 3L, 4L, 5L, 1L, 3L, 0L, 4L,          1L, 1L, 2L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 1L, 3L, 5L, 10L, 2L, 4L, 9L, 4L, 2L, 4L, 8L,          6L, 2L, 4L, 4L, 4L), WITHIN_350M_BUS = c(7L, 7L, 9L,          4L, 5L, 5L, 4L, 4L, 2L, 4L, 8L, 6L, 4L, 4L, 5L, 5L, 7L,          4L, 6L, 5L), WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 0L, 1L,          1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 1L, 3L, 2L, 3L, 2L,          2L), DNeighbour = c(0, 69.501827815604, 177.077190328954,          258.561345302235, 500.978372459107, 906.561294733268,          1173.78498948365, 1201.08591570607, 1247.72239984549,          1285.07656090266, 1292.81139211713, 1341.84693078663,          1349.69090595166, 1403.45455044928, 1405.72502026849,          1474.69513467559, 1480.9027081483, 1500.23785711778,          1510.31244741058, 1514.7151558002)), row.names = c("823",      "903", "881", "997", "993", "801", "237", "763", "767", "145",      "784", "532", "286", "853", "575", "223", "251", "270", "699",      "952"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.995793672454981,      0.972853400918285, 0.942572304334592, 0.793186893993336,      0.411900016552436, 0.159597875462621, 0.137817738385929,      0.103337990579806, 0.0785266963562429, 0.0737315215824655,      0.0463226928012769, 0.0424463957894021, 0.0200253466651025,      0.0192462946582676, 0.00271895358573097, 0.00194895656434459,      0.000361919748832443, 3.36957124074433e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       16613512246 
R squared (OOB):                  0.1827175 

$Forests[[824]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(7e+05, 748000, 945500,      912000, 753000, 685000, 680000, 8e+05, 680000, 620000, 830000,      1023801, 1038000, 476000, 475000, 890000, 537000, 1056800,      1110000, 438888), floor_area_sqm = c(93, 107, 87, 87, 87,      93, 91, 90, 85, 103, 94, 95, 95, 103, 103, 93, 106, 95, 94,      80), storey_order = c(1L, 2L, 8L, 3L, 5L, 4L, 3L, 7L, 2L,      2L, 9L, 13L, 13L, 2L, 2L, 2L, 4L, 16L, 17L, 4L), remaining_lease_mths = c(625,      899, 1143, 1142, 1104, 1115, 984, 1063, 1066, 911, 1088,      1085, 1088, 774, 781, 1079, 760, 1081, 1086, 601), PROX_CBD = c(2.09358084499411,      2.52364731081334, 2.51922626320824, 2.51922626320824, 2.5775653440094,      2.56060478168524, 2.86455481676114, 2.97610984462207, 2.96405104980333,      2.86182045335715, 1.64296215322618, 1.64296215322618, 1.6109563636452,      3.09516181063763, 3.09516181063763, 1.67386574810093, 3.12641734116327,      1.77209924777956, 1.77209924777956, 3.37234644442932), PROX_ELDERLYCARE = c(0.442569764285143,      0.132133546591398, 1.25853619714168e-06, 1.25853619714168e-06,      0.283170941801308, 0.303984777605612, 0.111411798512938,      0.249991250520312, 0.206690358794928, 0.334062202372697,      0.294850727643248, 0.294850727643248, 0.267363987874465,      0.614909460801077, 0.614909460801077, 0.177855560288099,      0.570344367187993, 0.140516738363648, 0.140516738363648,      0.401810150563083), PROX_HAWKER = c(0.103399879312882, 0.315417458803045,      0.187177165934232, 0.187177165934232, 0.447120961378381,      0.450094806637729, 0.302651224916382, 0.405863058813757,      0.344572110572533, 0.231089093207534, 0.280083683397779,      0.280083683397779, 0.235977344459711, 0.524942013349153,      0.524942013349153, 0.190132187507835, 0.582032517556358,      0.23052169920376, 0.23052169920376, 0.449139985411189), PROX_MRT = c(0.681532284353367,      0.277076743329557, 0.243725266054354, 0.243725266054354,      0.499107329029013, 0.546591463865751, 0.391395986196982,      0.337225216160626, 0.377919714857806, 0.819080841065402,      0.262926729358016, 0.262926729358016, 0.29771914919713, 1.19880844528061,      1.19880844528061, 0.379670718067057, 1.19588154804183, 0.454819638815125,      0.454819638815125, 0.537190991659238), PROX_PARK = c(0.400473707610266,      0.163253442595557, 0.28862748451296, 0.28862748451296, 0.18481391877062,      0.21329655328302, 0.399002951856213, 0.4671588721782, 0.495024008458079,      0.609617368578913, 0.366095429090919, 0.366095429090919,      0.367398542795172, 0.971409228458194, 0.971409228458194,      0.464667269713551, 0.971029675538415, 0.568364566172339,      0.568364566172339, 0.408351250353425), PROX_GOOD_PRISCH = c(4.81109980295855,      4.61812725480087, 4.50145006484821, 4.50145006484821, 4.89009258041755,      4.93746215949662, 4.71207116352008, 4.56048774292729, 4.62297298452196,      5.1514664212482, 6.02306971378175, 6.02306971378175, 6.05683769533381,      5.46565510857314, 5.46565510857314, 6.13913327172338, 5.52416256345089,      6.2014068010071, 6.2014068010071, 3.70512913004722), PROX_MALL = c(0.685370188976197,      0.290995843291254, 0.244046547559164, 0.244046547559164,      0.524781909718914, 0.572150632107275, 0.420489734799516,      0.362094853274792, 0.404565296260845, 0.848351644608041,      0.44820920236387, 0.44820920236387, 0.415453175187746, 1.2281628510896,      1.2281628510896, 0.332985789848242, 1.29251563056945, 0.293469301127063,      0.293469301127063, 0.743612757274357), PROX_CHAS = c(0.165994533154508,      0.0122221533760307, 0.0462846720247782, 0.0462846720247782,      0.0301364724824846, 0.0640474788759872, 0.110042750971165,      0.111500209373212, 0.0506108453744785, 0.159666076311523,      0.0951865321113252, 0.0951865321113252, 0.0860247998100326,      0.240903750709302, 0.240903750709302, 0.0280349864391529,      0.202999736112437, 0.116110892529562, 0.116110892529562,      0.499618186459994), PROX_SUPERMARKET = c(0.346795592234613,      0.0373112013983995, 0.169442491353445, 0.169442491353445,      0.275738565320567, 0.315915165677582, 0.110042446678578,      0.111500172768761, 0.0506107476035619, 0.360029455717415,      0.28799517805095, 0.28799517805095, 0.248046397132554, 0.240902416159861,      0.240902416159861, 0.185142915152075, 0.202998478162502,      0.203860721712114, 0.203860721712114, 0.499617451823641),          WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 0L, 1L, 1L,          0L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 6L, 4L, 4L, 4L, 4L,          4L, 3L, 3L, 3L, 6L, 6L, 6L, 2L, 2L, 7L, 2L, 7L, 7L, 2L         ), WITHIN_350M_BUS = c(7L, 6L, 4L, 4L, 3L, 3L, 7L, 4L,          7L, 4L, 9L, 9L, 11L, 4L, 4L, 9L, 5L, 10L, 10L, 8L), WITHIN_1KM_PRISCH = c(1L,          2L, 2L, 2L, 2L, 3L, 4L, 3L, 4L, 3L, 1L, 1L, 1L, 3L, 3L,          1L, 2L, 1L, 1L, 3L), DNeighbour = c(0, 430.593390647677,          445.474025488326, 452.453921012432, 559.4919636657, 566.270769228629,          798.303775066458, 885.87494850092, 886.567389457073,          959.205340319884, 1217.15716718055, 1219.50810198569,          1256.83264430233, 1321.7615405357, 1326.27003109291,          1338.6204654915, 1377.60179966335, 1383.10226545886,          1388.69564825827, 1393.96412314762)), row.names = c("824",      "65", "816", "550", "999", "390", "968", "319", "389", "561",      "850", "91", "619", "126", "134", "10", "48", "509", "321",      "69"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.818268111086278,      0.806175499482658, 0.800393856743703, 0.703760073083283,      0.697186198798349, 0.451625281644282, 0.355370917074649,      0.354618268101187, 0.277202250017705, 0.056447719444315,      0.055055577063657, 0.0349961926254573, 0.0101828857630133,      0.00898064911342021, 0.00605726480888998, 0.000544670669736466,      0.000240976313221593, 5.69224602599242e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       28001839309 
R squared (OOB):                  0.3290355 

$Forests[[825]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 344000, 326000,      320000, 303000, 350000, 272000, 330000, 325000, 297000, 303888,      298000, 375000, 318000, 316000, 305000, 3e+05, 279000, 255000,      245000), floor_area_sqm = c(104, 114, 100, 84, 92, 103, 89,      103, 91, 91, 93, 93, 92, 91, 92, 91, 96, 91, 91, 88), storey_order = c(3L,      2L, 2L, 1L, 1L, 4L, 2L, 2L, 4L, 3L, 2L, 1L, 4L, 1L, 3L, 4L,      4L, 2L, 4L, 2L), remaining_lease_mths = c(901, 909, 915,      822, 794, 768, 882, 773, 780, 788, 782, 777, 783, 765, 781,      791, 791, 801, 686, 668), PROX_CBD = c(17.7210097801066,      17.7896312466061, 17.6260899808187, 17.6406634027014, 18.2139172788048,      18.3186881593276, 17.8554664137964, 18.4499801912104, 18.1476771148045,      18.1476771148045, 18.5252470382495, 18.5252470382495, 18.1857629477019,      18.2234963781047, 18.2234963781047, 18.2610111258248, 18.5761736305699,      18.2989051402725, 19.1428796063974, 18.8842060529579), PROX_ELDERLYCARE = c(1.43994188754287,      1.25681260125729, 1.35112026832555, 1.035266769267, 0.649170232100017,      0.586525817031338, 0.800501761367975, 0.504778052376495,      0.519546459890619, 0.519546459890619, 0.449194476018676,      0.449194476018676, 0.47723779098819, 0.448333702611612, 0.448333702611612,      0.421521882373529, 0.0638277150498875, 0.397078044127006,      0.457204003422965, 0.229103995883471), PROX_HAWKER = c(1.08104793194974,      0.881066744107593, 0.881717267283345, 0.425506106332545,      0.488031980714328, 0.564283191409187, 0.203123967436651,      0.652207052169444, 0.209390724873544, 0.209390724873544,      0.69553534809229, 0.69553534809229, 0.380157991945912, 0.416527045274471,      0.416527045274471, 0.453171307776496, 0.562029876499453,      0.491047773869601, 0.491246203286744, 0.280513302960552),          PROX_MRT = c(0.633809880192534, 0.459633808793419, 0.583976034009999,          0.641227062746355, 0.192826481399443, 0.220618943711049,          0.555370291384357, 0.322534237265928, 0.491311596778589,          0.491311596778589, 0.398456142880405, 0.398456142880405,          0.548087095608087, 0.545975779093886, 0.545975779093886,          0.547550551918807, 0.874368880716004, 0.552168886353884,          1.0490560030484, 1.03601464731326), PROX_PARK = c(1.21384923350496,          1.08767920112524, 1.13048326604805, 0.74946287094318,          0.532358306258428, 0.548488124002706, 0.515057634059466,          0.536975621309476, 0.270911567278729, 0.270911567278729,          0.491317901173298, 0.491317901173298, 0.261695126667213,          0.264257474455249, 0.264257474455249, 0.272660801967067,          0.287868908027907, 0.287159802467115, 0.602588748705797,          0.579556587207627), PROX_GOOD_PRISCH = c(9.06160802360773,          9.06437119601063, 8.8937984610311, 8.7372089119322, 9.33501569353139,          9.44179125712709, 8.91472106998272, 9.56762880935522,          9.18618174729203, 9.18618174729203, 9.63394268044443,          9.63394268044443, 9.10363750169146, 9.1355701416359,          9.1355701416359, 9.16752282736586, 9.51590189269927,          9.19982386356694, 10.1724586401982, 9.83133063879426),          PROX_MALL = c(1.08939761229127, 0.889615709496153, 0.88883938803957,          0.427942470585451, 0.498813518897969, 0.574856358668165,          0.208298160410803, 0.662291407978718, 0.218975149940797,          0.218975149940797, 0.705200807731176, 0.705200807731176,          0.374195605351922, 0.411037179701155, 0.411037179701155,          0.448092738738542, 0.624506085881379, 0.486326630506135,          1.19002137667581, 0.91348864249693), PROX_CHAS = c(0.398301228330107,          0.198210651063146, 0.292626833079875, 0.23100298607827,          0.0363398547195702, 0.141159289664064, 0.208298146952687,          0.201478871858691, 0.218975205360203, 0.218975205360203,          0.240425442805127, 0.240425442805127, 0.172021358032342,          0.132763801624598, 0.132763801624598, 0.0964740211655948,          0.0792988689034794, 0.0660681856594747, 0.472048134528426,          0.241229981070425), PROX_SUPERMARKET = c(0.510818921359131,          0.347801992140281, 0.489184551662952, 0.231004283416662,          0.186956242757619, 0.210011389308567, 0.19872598136169,          0.310351384739933, 0.206881250620068, 0.206881250620068,          0.386130046709882, 0.386130046709882, 0.38486207983901,          0.421116980529575, 0.421116980529575, 0.457654559995222,          0.625539331690589, 0.490326509583637, 1.03656246660954,          0.911876453557648), WITHIN_350M_KINDERGARTEN = c(3L,          3L, 3L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(1L, 4L,          3L, 6L, 5L, 4L, 5L, 2L, 3L, 3L, 1L, 1L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 1L), WITHIN_350M_BUS = c(5L, 7L, 6L, 8L,          9L, 10L, 10L, 9L, 7L, 7L, 8L, 8L, 4L, 6L, 6L, 6L, 10L,          6L, 6L, 13L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 3L, 2L,          2L, 3L, 2L, 3L, 3L, 2L, 2L, 4L, 4L, 4L, 4L, 2L, 4L, 1L,          1L), DNeighbour = c(0, 203.281336558132, 259.765478719164,          787.690030956936, 800.592089182497, 855.387703830999,          890.814772760926, 951.849710915995, 1016.12707550822,          1019.1332926626, 1020.49203338145, 1023.78067650387,          1445.90569164759, 1475.8897493298, 1476.85350611795,          1509.55970272793, 1515.73578818064, 1539.14467473062,          1656.85533238609, 1671.05969856826)), row.names = c("825",      "172", "612", "730", "481", "367", "467", "810", "944", "827",      "106", "11", "733", "47", "202", "905", "78", "433", "484",      "96"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.970622439568649,      0.952254800693999, 0.604986598630279, 0.593624671180768,      0.544607683293762, 0.512400726375203, 0.456362699579519,      0.397210840717366, 0.39445381155178, 0.393208184980408, 0.390194634940307,      0.0631619397729569, 0.048376848182913, 0.0479295978106716,      0.0338376798532913, 0.0314207941069634, 0.0229977857299492,      0.000286563132932197, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1075516266 
R squared (OOB):                  -0.03027679 

$Forests[[826]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 334008, 345000,      415000, 450000, 358000, 390000, 442500, 418888, 370000, 418000,      382000, 462000, 443000, 447888, 347000, 430000, 425000, 459000,      445000), floor_area_sqm = c(102, 103, 90, 92, 92, 104, 92,      92, 92, 102, 92, 93, 93, 93, 93, 90, 92, 93, 93, 93), storey_order = c(4L,      2L, 5L, 2L, 4L, 4L, 1L, 6L, 3L, 3L, 5L, 1L, 5L, 5L, 5L, 2L,      5L, 5L, 4L, 4L), remaining_lease_mths = c(940, 917, 937,      1132, 1135, 815, 1132, 1138, 1136, 927, 1142, 1111, 1134,      1134, 1137, 971, 1137, 1134, 1138, 1133), PROX_CBD = c(14.4474740114555,      14.2719972222741, 14.2787185061121, 14.6122009832922, 14.5310939664424,      14.0960645211931, 14.6424103631698, 14.4158973706441, 14.4158973706441,      14.12564920201, 14.4012043650842, 14.29200158436, 14.1475961545785,      14.1475961545785, 14.1475961545785, 14.6079806280174, 14.2919055230493,      14.3486805845321, 14.1715462602585, 14.1149653809405), PROX_ELDERLYCARE = c(1.50338082315219,      1.50921581969441, 1.77826193055387, 1.68824062303628, 1.79186944623163,      1.70531999087377, 1.72557175775889, 1.86115765343828, 1.86115765343828,      1.44816412197145, 1.94149260139439, 2.00367987562091, 2.03155968851809,      2.03155968851809, 2.03155968851809, 0.966138977916587, 2.08663557441472,      2.08279710659019, 2.09595649451453, 2.12564955085825), PROX_HAWKER = c(0.588144724666333,      0.684102697062058, 0.865181709866835, 0.707122679385598,      0.816792492128141, 0.845358517598031, 0.740384095011384,      0.900970586039013, 0.900970586039013, 0.778468578249857,      0.977925494011815, 1.05572120633707, 1.0452124348096, 1.0452124348096,      1.0452124348096, 0.31691894051251, 1.13160866269818, 1.11865892678262,      1.11030496241672, 1.06810792734919), PROX_MRT = c(0.224566301285939,      0.347262283963267, 0.14195902454703, 0.295449456212788, 0.197201307651512,      0.217341234217998, 0.312698200175978, 0.0830542408041225,      0.0830542408041225, 0.476637705223286, 0.117672709296806,      0.129588785375857, 0.206896355650083, 0.206896355650083,      0.206896355650083, 0.188565130994124, 0.215635082050947,      0.228370105834555, 0.236487582928319, 0.282489779359316),          PROX_PARK = c(1.55939681176166, 1.38760566459916, 1.51686048726609,          1.76906915549279, 1.79335149216305, 1.27300714898888,          1.78460824921244, 1.70853765465547, 1.70853765465547,          1.20701221478007, 1.73691437359179, 1.659682039687, 1.52292224478236,          1.52292224478236, 1.52292224478236, 1.07918529837209,          1.71136953372848, 1.76668334590621, 1.59201213147604,          1.55223981690243), PROX_GOOD_PRISCH = c(5.45861643017911,          5.26118802945754, 5.42826997650874, 5.7298925008129,          5.7030752613132, 5.17863906457975, 5.77937603269072,          5.62289607338158, 5.62289607338158, 5.06260566207177,          5.65284274036128, 5.57470277830303, 5.43570837857945,          5.43570837857945, 5.43570837857945, 5.35450137646782,          5.62322031775431, 5.67955556528646, 5.50129862889456,          5.45814117537329), PROX_MALL = c(0.12145856762689, 0.108121271181015,          0.338911837083335, 0.426875162675013, 0.466036051693473,          0.243284841315127, 0.482269498416602, 0.475045953779526,          0.475045953779526, 0.287395381957405, 0.544441659044551,          0.462705775504015, 0.329425359540921, 0.329425359540921,          0.329425359540921, 0.479398555662368, 0.517951444315281,          0.571430807201143, 0.405991175981987, 0.377565489031552         ), PROX_CHAS = c(0.121458549123021, 0.108121286081234,          0.18872293939054, 0.270793953405505, 0.162368565956873,          0.132339190026647, 0.280031834846542, 0.0420419616737589,          0.0420419616737589, 0.182188888557241, 0.0706873614354785,          0.0888572682655253, 0.188783823394846, 0.188783823394846,          0.188783823394846, 0.166948923507452, 3.54155757628082e-08,          0.0590253437170886, 0.12657377242065, 0.179884741524278         ), PROX_SUPERMARKET = c(0.134916350552101, 0.105248463653719,          0.188722783027928, 0.270794118098451, 0.162368758687164,          0.226949559622758, 0.280032026158491, 0.0420421510628514,          0.0420421510628514, 0.277268812686258, 0.0706874850207218,          0.124391003677116, 0.235757849482592, 0.235757849482592,          0.235757849482592, 0.218811722485387, 0.199383936085002,          0.199153546859355, 0.248308073473709, 0.299769914037237         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 2L, 0L, 0L, 1L,          0L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 6L, 5L, 4L, 7L,          3L, 5L, 5L, 3L, 5L, 5L, 6L, 6L, 6L, 2L, 5L, 4L, 5L, 6L         ), WITHIN_350M_BUS = c(11L, 10L, 8L, 6L, 8L, 9L, 6L,          7L, 7L, 10L, 6L, 5L, 6L, 6L, 6L, 13L, 4L, 4L, 5L, 5L),          WITHIN_1KM_PRISCH = c(5L, 5L, 4L, 4L, 3L, 5L, 3L, 4L,          4L, 5L, 3L, 4L, 4L, 4L, 4L, 5L, 3L, 3L, 4L, 4L), DNeighbour = c(0,          206.189611298851, 278.187829384461, 302.703396169062,          348.788507763799, 357.76369419786, 360.01276928066, 377.032880523442,          377.507339384183, 405.630283509049, 453.857732261963,          499.492010457331, 530.921281005855, 532.584408549787,          534.441692303144, 554.657371359676, 591.196859790344,          591.297320677403, 596.25703020498, 632.289136907057)), row.names = c("826",      "381", "329", "489", "609", "880", "323", "33", "100", "703",      "633", "989", "207", "966", "623", "385", "267", "217", "277",      "519"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.79862580479228,      0.650324484776425, 0.594141969371331, 0.484007322158232,      0.462188419150737, 0.456714358813651, 0.415288020444482,      0.414134693680741, 0.346265935576239, 0.234994022994921,      0.141331635343556, 0.086986970436252, 0.0843968412290539,      0.0815412644259198, 0.0531224796839968, 0.0158145027374852,      0.0157398563224127, 0.012260251825883, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1090648790 
R squared (OOB):                  0.4405938 

$Forests[[827]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(297000, 325000, 272000,      303000, 350000, 330000, 375000, 318000, 316000, 298000, 303888,      305000, 279000, 320000, 3e+05, 370000, 355000, 359900, 245000,      344000), floor_area_sqm = c(91, 91, 89, 92, 103, 103, 92,      91, 92, 93, 93, 91, 91, 84, 96, 93, 93, 93, 88, 114), storey_order = c(3L,      4L, 2L, 1L, 4L, 2L, 4L, 1L, 3L, 1L, 2L, 4L, 2L, 1L, 4L, 5L,      3L, 3L, 2L, 2L), remaining_lease_mths = c(788, 780, 882,      794, 768, 773, 783, 765, 781, 777, 782, 791, 801, 822, 791,      1106, 1111, 1117, 668, 909), PROX_CBD = c(18.1476771148045,      18.1476771148045, 17.8554664137964, 18.2139172788048, 18.3186881593276,      18.4499801912104, 18.1857629477019, 18.2234963781047, 18.2234963781047,      18.5252470382495, 18.5252470382495, 18.2610111258248, 18.2989051402725,      17.6406634027014, 18.5761736305699, 18.8127816342995, 18.8127816342995,      18.8127816342995, 18.8842060529579, 17.7896312466061), PROX_ELDERLYCARE = c(0.519546459890619,      0.519546459890619, 0.800501761367975, 0.649170232100017,      0.586525817031338, 0.504778052376495, 0.47723779098819, 0.448333702611612,      0.448333702611612, 0.449194476018676, 0.449194476018676,      0.421521882373529, 0.397078044127006, 1.035266769267, 0.0638277150498875,      0.176499517448139, 0.176499517448139, 0.176499517448139,      0.229103995883471, 1.25681260125729), PROX_HAWKER = c(0.209390724873544,      0.209390724873544, 0.203123967436651, 0.488031980714328,      0.564283191409187, 0.652207052169444, 0.380157991945912,      0.416527045274471, 0.416527045274471, 0.69553534809229, 0.69553534809229,      0.453171307776496, 0.491047773869601, 0.425506106332545,      0.562029876499453, 0.325560722493799, 0.325560722493799,      0.325560722493799, 0.280513302960552, 0.881066744107593),          PROX_MRT = c(0.491311596778589, 0.491311596778589, 0.555370291384357,          0.192826481399443, 0.220618943711049, 0.322534237265928,          0.548087095608087, 0.545975779093886, 0.545975779093886,          0.398456142880405, 0.398456142880405, 0.547550551918807,          0.552168886353884, 0.641227062746355, 0.874368880716004,          1.04083770509984, 1.04083770509984, 1.04083770509984,          1.03601464731326, 0.459633808793419), PROX_PARK = c(0.270911567278729,          0.270911567278729, 0.515057634059466, 0.532358306258428,          0.548488124002706, 0.536975621309476, 0.261695126667213,          0.264257474455249, 0.264257474455249, 0.491317901173298,          0.491317901173298, 0.272660801967067, 0.287159802467115,          0.74946287094318, 0.287868908027907, 0.51923222906617,          0.51923222906617, 0.51923222906617, 0.579556587207627,          1.08767920112524), PROX_GOOD_PRISCH = c(9.18618174729203,          9.18618174729203, 8.91472106998272, 9.33501569353139,          9.44179125712709, 9.56762880935522, 9.10363750169146,          9.1355701416359, 9.1355701416359, 9.63394268044443, 9.63394268044443,          9.16752282736586, 9.19982386356694, 8.7372089119322,          9.51590189269927, 9.7422556358987, 9.7422556358987, 9.7422556358987,          9.83133063879426, 9.06437119601063), PROX_MALL = c(0.218975149940797,          0.218975149940797, 0.208298160410803, 0.498813518897969,          0.574856358668165, 0.662291407978718, 0.374195605351922,          0.411037179701155, 0.411037179701155, 0.705200807731176,          0.705200807731176, 0.448092738738542, 0.486326630506135,          0.427942470585451, 0.624506085881379, 0.856774663098642,          0.856774663098642, 0.856774663098642, 0.91348864249693,          0.889615709496153), PROX_CHAS = c(0.218975205360203,          0.218975205360203, 0.208298146952687, 0.0363398547195702,          0.141159289664064, 0.201478871858691, 0.172021358032342,          0.132763801624598, 0.132763801624598, 0.240425442805127,          0.240425442805127, 0.0964740211655948, 0.0660681856594747,          0.23100298607827, 0.0792988689034794, 0.2593611752042,          0.2593611752042, 0.2593611752042, 0.241229981070425,          0.198210651063146), PROX_SUPERMARKET = c(0.206881250620068,          0.206881250620068, 0.19872598136169, 0.186956242757619,          0.210011389308567, 0.310351384739933, 0.38486207983901,          0.421116980529575, 0.421116980529575, 0.386130046709882,          0.386130046709882, 0.457654559995222, 0.490326509583637,          0.231004283416662, 0.625539331690589, 0.856773769273042,          0.856773769273042, 0.856773769273042, 0.911876453557648,          0.347801992140281), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 3L), WITHIN_350M_CHILDCARE = c(3L, 3L,          5L, 5L, 4L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 6L, 2L, 1L,          1L, 1L, 1L, 4L), WITHIN_350M_BUS = c(7L, 7L, 10L, 9L,          10L, 9L, 4L, 6L, 6L, 8L, 8L, 6L, 6L, 8L, 10L, 16L, 16L,          16L, 13L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L,          2L, 2L, 4L, 4L, 4L, 2L, 2L, 4L, 4L, 3L, 2L, 1L, 1L, 1L,          1L, 2L), DNeighbour = c(0, 5.74832304193386, 297.506821131312,          311.215558199369, 370.354755443425, 450.65583661013,          450.84252122251, 472.316655835845, 472.762437426007,          482.769150085028, 484.707674484457, 500.150554495147,          525.437891954135, 525.652801580967, 534.942829457124,          739.003748506226, 742.49932057028, 744.59463490932, 784.003378882362,          816.627637570058)), row.names = c("827", "944", "467",      "481", "367", "810", "733", "47", "202", "11", "106", "905",      "433", "730", "78", "637", "418", "604", "96", "172"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999900904616842, 0.752169650458491, 0.730621396883911,      0.630947543106919, 0.483667041107615, 0.483316087465638,      0.442867438120297, 0.442027005655696, 0.423167323891087,      0.419516339632193, 0.390493212345607, 0.343402381022904,      0.343005505764679, 0.325917696141022, 0.0327874690313987,      0.0300355055389837, 0.0284378145708129, 0.00613151034157546,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1293915284 
R squared (OOB):                  -0.1328647 

$Forests[[828]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 315000, 336000,      295000, 312000, 288000, 320000, 295000, 345000, 320000, 338000,      345000, 350000, 310000, 320000, 315000, 330000, 305000, 339000,      330000), floor_area_sqm = c(103, 103, 102, 101, 101, 84,      104, 84, 102, 84, 102, 102, 102, 91, 101, 102, 102, 99, 102,      115), storey_order = c(1L, 2L, 3L, 1L, 2L, 3L, 4L, 4L, 4L,      4L, 4L, 2L, 4L, 4L, 1L, 2L, 1L, 1L, 3L, 1L), remaining_lease_mths = c(928,      926, 916, 917, 933, 893, 893, 875, 926, 885, 922, 927, 923,      927, 924, 913, 911, 921, 923, 898), PROX_CBD = c(18.5768909080638,      18.5458637520931, 18.5506225538857, 18.4986491838169, 18.4625985868209,      18.3632948597919, 18.4249149071789, 18.4249149071789, 18.236688278315,      18.3433564216417, 18.1611534549189, 18.2868848905217, 18.0569924715364,      18.6571260927441, 18.0902268845521, 17.9994058772431, 18.2320763538069,      17.9733391318796, 17.9456645257603, 18.4399301385868), PROX_ELDERLYCARE = c(0.912532633143698,      0.890661700747245, 0.859723249528503, 0.86418951980865, 0.765079897684544,      0.645296274244347, 0.705240184131779, 0.705240184131779,      0.732088251039709, 0.623669944895056, 0.519233937445895,      0.896456720381782, 0.59750504274373, 1.27166470727688, 0.706169610995159,      0.430537495183344, 0.927534095024191, 0.376016337241346,      0.476454782767532, 0.789710764787337), PROX_HAWKER = c(0.935860141611343,      0.898999046399804, 0.958117298193611, 0.838043969781633,      0.906262708365532, 0.921741667576702, 1.0161652570538, 1.0161652570538,      0.537987121264097, 0.960648791795978, 0.617364695979906,      0.547085889030319, 0.391180253405874, 0.924657565926692,      0.370412154176866, 0.472244893923117, 0.493410913505403,      0.501520555884575, 0.3648710200987, 1.26661829972954), PROX_MRT = c(0.912233851204259,      0.87509641959225, 0.942174684471822, 0.812751343363136, 0.897303014326537,      0.927224403125457, 0.906393011935236, 0.906393011935236,      0.511061821383635, 0.899458799363821, 0.623413162025338,      0.495991449430539, 0.384524332485438, 0.861078471223358,      0.341202563029131, 0.492638498779759, 0.433316978327494,      0.52882455357406, 0.385567417899789, 0.715824290886542),          PROX_PARK = c(1.41172869826724, 1.4387346144793, 1.32670572464855,          1.49181484955502, 1.31620863428189, 1.22890358268929,          1.13759587953072, 1.13759587953072, 1.7164330470264,          1.17596756648915, 1.52418818882418, 1.86697967968657,          1.77011013021076, 1.95136051888807, 1.8531048262974,          1.65421298847909, 1.96114614265628, 1.62685700377268,          1.76180373116006, 0.859791414716402), PROX_GOOD_PRISCH = c(9.13217936844248,          9.09837600782165, 9.12094588228633, 9.04519470993137,          9.04019528068803, 8.96505409295358, 9.03817471771729,          9.03817471771729, 8.76378557853615, 8.95760590087653,          8.72758527833631, 8.78822500750919, 8.58956131155308,          9.13456945987866, 8.60631027953587, 8.5589292690065,          8.72297519828522, 8.54142359534323, 8.49089982759618,          9.10971468714541), PROX_MALL = c(0.390092702495136, 0.359721010486642,          0.46921205797367, 0.305101649121832, 0.414588198127445,          0.282416841692855, 0.204519313237763, 0.204519313237763,          0.240339889961931, 0.22079632378696, 0.475604736810637,          0.1450338527091, 0.407254736414821, 0.300602441432182,          0.342860958869265, 0.446560923090423, 0.22704735136933,          0.395841490391381, 0.428159644756295, 0.107021299056373         ), PROX_CHAS = c(0.390092699752756, 0.359721009550721,          0.469212052170377, 0.305101651313883, 0.399223798550346,          0.231219576578415, 0.20451929737041, 0.20451929737041,          0.184864523484869, 0.167893491583302, 0.405258493214775,          0.0217240252323136, 0.222103720735081, 0.214120710257936,          0.209799590563819, 0.324811070171065, 0.11607611654581,          0.364030465322827, 0.218909691095897, 0.107021320216693         ), PROX_SUPERMARKET = c(0.390093045846372, 0.359721304530864,          0.469212308573368, 0.305101855713295, 0.414588227521533,          0.282416494634945, 0.204519239868594, 0.204519239868594,          0.240339157209448, 0.220795796105544, 0.475604214408431,          0.145032957963293, 0.385535197909366, 0.214121714630789,          0.342860053820009, 0.408691343873882, 0.227046556279957,          0.356071330024396, 0.365864675212809, 0.107021556198121         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 2L, 1L, 2L, 2L, 2L, 0L, 2L, 2L, 2L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 6L, 6L, 6L, 8L,          7L, 7L, 6L, 8L, 5L, 7L, 4L, 3L, 6L, 4L, 5L, 3L, 3L, 4L         ), WITHIN_350M_BUS = c(9L, 9L, 8L, 9L, 8L, 8L, 9L, 9L,          7L, 8L, 10L, 9L, 9L, 8L, 7L, 9L, 10L, 11L, 8L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 5L, 4L, 5L, 4L, 4L, 4L, 6L, 4L, 6L, 4L, 6L, 3L, 5L,          7L, 4L, 7L, 6L, 3L), DNeighbour = c(0, 40.9290451344515,          93.5189127559414, 100.755849419463, 173.026658301908,          343.198515407461, 367.295126798819, 372.673701386591,          401.996948638058, 409.635946463696, 414.183421463067,          487.520938478206, 549.746073931447, 566.306480123217,          568.55489190429, 578.07881815638, 584.268492335833, 600.97088672681,          643.330115606979, 665.873436156202)), row.names = c("828",      "576", "291", "684", "729", "864", "738", "265", "227", "953",      "330", "787", "491", "761", "74", "177", "443", "179", "20",      "247"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.992457963157548,      0.960939208597957, 0.954732480126446, 0.869515985021908,      0.539272077560325, 0.484052108300811, 0.471642369993616,      0.4038980110477, 0.386319819610304, 0.375887990499224, 0.215252046827706,      0.101367255164818, 0.0765617677507145, 0.0734101662215966,      0.0606703430648262, 0.0529401080554366, 0.0343877097980208,      0.00443081240784293, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       283289320 
R squared (OOB):                  0.1076466 

$Forests[[829]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(492000, 550000, 507000,      515000, 480000, 518000, 420000, 455000, 475000, 592000, 635000,      335000, 370000, 335000, 330000, 340000, 355000, 330000, 315000,      405000), floor_area_sqm = c(84, 105, 105, 105, 84, 88, 84,      95, 89, 108, 105, 84, 92, 91, 91, 91, 91, 82, 91, 102), storey_order = c(4L,      3L, 2L, 2L, 1L, 3L, 2L, 2L, 1L, 2L, 4L, 2L, 4L, 3L, 4L, 1L,      3L, 4L, 1L, 3L), remaining_lease_mths = c(788, 786, 770,      762, 789, 770, 777, 784, 789, 810, 833, 791, 699, 754, 777,      786, 763, 657, 722, 928), PROX_CBD = c(7.5632891932167, 7.59960912304084,      7.67544881001386, 7.9455961592131, 7.1729887096531, 7.79515244158294,      7.13486939655985, 7.49071683084666, 7.05609226259357, 7.18468073982128,      7.22087947204147, 9.13853516155078, 8.34406204250889, 8.32334928378694,      9.37335060635629, 9.37335060635629, 9.41668106440496, 6.06674643703895,      8.21547938057256, 9.51108523911647), PROX_ELDERLYCARE = c(1.91313469252559,      1.85656629786719, 1.73611556579875, 1.77517839654503, 1.69705296801524,      1.83577537822547, 1.66246099208497, 1.54524415115482, 1.59520672965634,      1.63490637838594, 1.54373359073656, 1.86142420062345, 0.224798473876808,      0.163895949541214, 1.66235796621519, 1.66235796621519, 1.6892356184521,      0.10409496222889, 0.425001866306461, 1.80905665624389), PROX_HAWKER = c(1.10032443578502,      1.04404154823438, 0.926505356032751, 0.800389309546525, 1.25907896080059,      1.19066876388205, 1.23225985170817, 0.996854886033364, 1.17571504816288,      1.02937341390922, 1.05968958012269, 0.823671555860494, 0.308707066729857,      0.1672780527947, 0.823170476035045, 0.823170476035045, 0.864780296064508,      0.346985863757343, 0.272525769496456, 0.978663880778012),          PROX_MRT = c(0.433934859087748, 0.492673618184051, 0.617354557404891,          0.75069701440163, 0.428812034955963, 0.499752126280618,          0.448181123975075, 0.34804043957783, 0.487588773645627,          0.13577722868059, 0.206889953987817, 1.58022074581844,          1.14033242259394, 1.03738004469153, 2.01327082024864,          2.01327082024864, 2.02952953118228, 1.1005845300218,          0.877462529610437, 1.99882067476962), PROX_PARK = c(0.474041874627479,          0.415297912555755, 0.29052205197453, 0.364839433462782,          0.405529884687165, 0.723268787935639, 0.367092279962757,          0.292176487074364, 0.288106802683489, 0.802458220215738,          0.769170147627311, 0.533109662164166, 0.748901820021747,          0.839050716088865, 0.548771819269344, 0.548771819269344,          0.564264159971047, 0.741200181243785, 0.34344129155164,          0.674672834209049), PROX_GOOD_PRISCH = c(2.17804686625686,          2.14133679267892, 2.0690813845722, 1.79538098544694,          2.56840479702555, 1.9917971907287, 2.60671936453148,          2.30076298730527, 2.64150694603645, 2.6636605310312,          2.65891054731874, 0.605615063995802, 1.74338078296013,          1.6197212814627, 0.581790960048334, 0.581790960048334,          0.555662252109323, 1.85819018299306, 2.64672046335999,          0.439174603441127), PROX_MALL = c(0.413593098419561,          0.472342316185911, 0.59706101530086, 0.730136421618933,          0.42122511428052, 0.483735594398556, 0.44210957307938,          0.79872232386887, 0.487675149993812, 0.319563922107573,          0.389192825268572, 0.925377142856182, 0.813314037197816,          0.952850965311535, 0.835862391091354, 0.835862391091354,          0.873946799305891, 1.22044581333525, 0.807676293785945,          0.994410311642026), PROX_CHAS = c(5.15903103580734e-08,          0.0587537711423344, 0.183520259224292, 0.312128892467037,          0.364873472162596, 0.157541179554435, 0.395328272461269,          0.204927614889482, 0.464118937564998, 0.244287808759251,          0.201367273106442, 0.179557542480515, 0.347263729641395,          0.218034921212892, 0.240374554675797, 0.240374554675797,          0.248119447519373, 0.252393584019624, 0.136581974857907,          0.21913048386411), PROX_SUPERMARKET = c(0.0709823460282706,          0.121599745844786, 0.242167451420959, 0.390939423908347,          0.372543253077343, 0.305647853022819, 0.392878094873427,          0.535956758401375, 0.438288204779491, 0.350395790631763,          0.425467495913439, 0.223142170833011, 0.624544400837596,          0.502751024921131, 0.322141005481158, 0.322141005481158,          0.315469124538892, 0.321431524942613, 0.281285688066644,          0.21913043091083), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          1L, 1L, 1L, 1L, 1L, 0L, 2L, 1L, 1L, 2L, 1L, 1L, 0L, 0L,          1L, 0L, 1L, 2L), WITHIN_350M_CHILDCARE = c(4L, 5L, 5L,          4L, 3L, 2L, 4L, 3L, 3L, 6L, 7L, 3L, 1L, 1L, 2L, 2L, 2L,          2L, 2L, 4L), WITHIN_350M_BUS = c(9L, 8L, 8L, 7L, 8L,          10L, 7L, 4L, 5L, 12L, 11L, 11L, 5L, 4L, 5L, 5L, 6L, 6L,          8L, 7L), WITHIN_1KM_PRISCH = c(3L, 4L, 4L, 3L, 3L, 2L,          3L, 4L, 2L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 5L, 2L, 1L         ), DNeighbour = c(0, 53.1090850359728, 181.106585255633,          374.11591959772, 397.586829490827, 403.25949787994, 439.581994279971,          467.038336887014, 519.541956942628, 728.682970757262,          787.953543462036, 1575.60543417563, 1690.9895045514,          1794.58432755864, 1859.07167968039, 1859.6746029226,          1900.30305410079, 1961.35996254982, 1978.97455240887,          1983.13572425206)), row.names = c("829", "735", "647",      "345", "133", "209", "82", "950", "449", "370", "344", "485",      "204", "713", "334", "737", "725", "628", "691", "719"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998566139188402, 0.983389648625857, 0.930089886161067,      0.921227935202657, 0.919011863351556, 0.904147700665302,      0.892150909284321, 0.86744348984128, 0.748204243515522, 0.709184932288407,      0.135988704851143, 0.0744901243850709, 0.0328026778101816,      0.0146907418693861, 0.0145528676780236, 0.00669000583452392,      0.000477001703045119, 1.75741637352032e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10248969460 
R squared (OOB):                  -0.07764363 

$Forests[[830]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(558000, 525000, 578888,      463888, 475000, 415000, 540000, 7e+05, 670000, 348000, 372500,      420000, 330000, 450000, 378888, 380000, 433000, 490000, 452000,      315000), floor_area_sqm = c(92, 95, 95, 95, 93, 92, 92, 92,      92, 100, 102, 93, 91, 95, 90, 92, 92, 92, 95, 91), storey_order = c(6L,      5L, 2L, 1L, 4L, 2L, 6L, 4L, 5L, 3L, 2L, 2L, 3L, 2L, 6L, 1L,      4L, 3L, 4L, 1L), remaining_lease_mths = c(1136, 1141, 1134,      1140, 1130, 1130, 1142, 1126, 1121, 938, 931, 1099, 951,      1109, 949, 1037, 1084, 1038, 1112, 790), PROX_CBD = c(11.665784828589,      11.6190928108465, 11.5493041544933, 11.4133195883395, 11.4536743231806,      11.3687765497058, 11.3687765497058, 11.1573644039326, 11.0595651330709,      11.8646943012694, 11.9627383543319, 11.8999896789117, 12.402570085049,      12.0901026943072, 12.4403773011877, 11.6419253241709, 11.8702915361943,      11.6213283462416, 12.1424265739316, 10.6917699702976), PROX_ELDERLYCARE = c(1.35367167055226,      1.40356458884146, 1.47184415110161, 1.61512702812623, 1.19895989384568,      1.27208236570677, 1.27208236570677, 1.34447435494956, 1.41694161867716,      0.893707553155367, 0.96089261866182, 0.790393757138983, 0.628872951670854,      0.911165280518988, 0.624054710630084, 0.626216066088841,      0.670900780040593, 0.621923465733728, 0.88680281476439, 1.07660186858624     ), PROX_HAWKER = c(1.3549106116919, 1.37423229702662, 1.35052465166479,      1.4377955077332, 1.02903329925728, 1.07923254025891, 1.07923254025891,      1.10011050744246, 1.19495083476736, 0.888626336009462, 0.983415578941634,      0.820501997631561, 1.50745216628998, 0.995330006841388, 1.46996215979098,      0.553081930127745, 0.715369360111721, 0.537052085835962,      0.999275592501037, 1.35937058559257), PROX_MRT = c(0.561684506891731,      0.615423035680267, 0.653877184653349, 0.8250506195824, 0.573574303209013,      0.671331594421278, 0.671331594421278, 0.876646963171676,      0.991329354536752, 0.214047355776769, 0.122900516984256,      0.261250382411254, 0.198968515523371, 0.231980634651484,      0.140157494228817, 0.168432978085695, 0.146531371307633,      0.182944945438028, 0.303530488733859, 0.753106278920522),          PROX_PARK = c(0.671016599957339, 0.654992910383756, 0.597750851398377,          0.60176146852012, 0.341254943367627, 0.294690087030438,          0.294690087030438, 0.189026691537682, 0.275833477585303,          0.747986195716587, 0.836149627657164, 0.813614799778521,          0.61879465488716, 0.750469455971567, 0.525489875872169,          0.654970873229416, 0.8322137924942, 0.643411448820926,          0.699596772952975, 0.536819237128991), PROX_GOOD_PRISCH = c(3.32537175969635,          3.31796907605439, 3.26501815247482, 3.26097143466547,          2.96812409551872, 2.95589454100459, 2.95589454100459,          2.83177349547833, 2.8385375863655, 3.05097986431403,          3.15511978010431, 3.00567179865442, 3.69141799128789,          3.19167768034691, 3.6640626331803, 2.71543842399088,          2.91053685401804, 2.69528593883292, 3.20088339163048,          2.68318776685765), PROX_MALL = c(0.714662485508778, 0.768943294332632,          0.808458836713889, 0.979751787656279, 0.714729745574342,          0.814743407183115, 0.814743407183115, 0.831480717149744,          0.76911725394793, 0.265637621954407, 0.161680393170103,          0.283076960540796, 0.407881748949563, 0.1200910408013,          0.37643645467035, 0.576398809288588, 0.385092319171944,          0.597386337892971, 0.171446483339376, 0.459259689573629         ), PROX_CHAS = c(0.167944095298073, 0.119929951445322,          0.0498455969042401, 0.136218265087875, 0.31407050179696,          0.257507761616553, 0.257507761616553, 0.0819321575559949,          0.0661119226245057, 0.265637621677666, 0.161680400961643,          0.283076936045466, 0.407881782403473, 0.120090990225825,          0.376436475429729, 0.118628580179885, 0.179381733260264,          0.130352204164602, 0.171446425970546, 0.0626028682349028         ), PROX_SUPERMARKET = c(0.215917356790886, 0.16327623873727,          0.0982179911218008, 0.0830307595499944, 0.345653574215055,          0.30094246041235, 0.30094246041235, 0.408274605358357,          0.444069124865739, 0.211091622880127, 0.107037284539066,          0.236972988988714, 0.451295114828249, 0.109512866312649,          0.426522673463594, 0.0879874709963817, 0.31749021679057,          0.0679201472407272, 0.178201527122821, 0.550262392018624         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 1L,          1L, 1L, 2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(1L, 2L, 3L, 3L, 2L, 3L,          3L, 3L, 3L, 7L, 8L, 7L, 3L, 8L, 4L, 6L, 9L, 6L, 7L, 3L         ), WITHIN_350M_BUS = c(4L, 3L, 4L, 4L, 8L, 10L, 10L,          6L, 9L, 8L, 9L, 9L, 9L, 8L, 11L, 8L, 10L, 8L, 9L, 7L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L, 4L, 3L, 3L, 3L,          3L, 5L, 4L, 5L, 4L, 4L, 4L, 5L, 5L, 6L, 5L, 3L), DNeighbour = c(0,          50.5296316366794, 117.941892845467, 284.400710910583,          362.566767214226, 373.168644552417, 375.120648215908,          557.176043706094, 617.085404366908, 629.625873105805,          631.620365435791, 754.578327660217, 783.285865020533,          788.871945175198, 854.120207754643, 854.750520776996,          855.390299342557, 855.590282898882, 860.585629144709,          981.427548644042)), row.names = c("830", "160", "772",      "303", "132", "157", "876", "425", "407", "232", "295", "185",      "80", "117", "444", "421", "110", "89", "147", "569"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99470544118474, 0.971325072312463, 0.839103623593034, 0.745671954043329,      0.731751588753841, 0.729159437252252, 0.459269166406418,      0.365610080690328, 0.346244363780008, 0.343177656918914,      0.16716447489472, 0.131785337639871, 0.125248587056241, 0.0588579718134268,      0.058316620037975, 0.0577692908381755, 0.0575986510392446,      0.0534057130746308, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8626736883 
R squared (OOB):                  0.2282072 

$Forests[[831]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 415000, 420000,      390000, 340000, 365000, 370000, 446000, 4e+05, 358888, 380000,      335000, 345000, 304000, 316000, 388000, 365000, 342000, 440000,      360000), floor_area_sqm = c(90, 100, 99, 104, 104, 95, 104,      107, 97, 91, 102, 90, 92, 104, 104, 103, 107, 94, 103, 103     ), storey_order = c(2L, 1L, 3L, 1L, 1L, 1L, 2L, 3L, 1L, 3L,      2L, 1L, 2L, 2L, 1L, 3L, 1L, 1L, 2L, 1L), remaining_lease_mths = c(925,      944, 929, 763, 772, 735, 763, 783, 734, 763, 938, 731, 742,      776, 777, 935, 766, 747, 918, 777), PROX_CBD = c(12.960867808991,      13.1525533734461, 13.2222340992065, 13.1145091682395, 13.1145091682395,      13.3652677077184, 13.075732494377, 13.1163383572019, 13.4040436118709,      13.6826822978472, 12.4172252614445, 13.8901285505698, 13.8901285505698,      13.8730731524118, 13.8730731524118, 12.2384019056968, 13.578535689825,      13.7770670669378, 12.1964782349865, 13.7231688188033), PROX_ELDERLYCARE = c(0.579007844644764,      0.640770029240432, 0.385934705647939, 0.233566729538939,      0.233566729538939, 0.876024529291782, 0.206309775801723,      0.258125844069092, 0.954835536666776, 0.000158780971194199,      0.466477120293287, 0.540311266279695, 0.540311266279695,      0.192118066579221, 0.192118066579221, 0.481492260541915,      0.535215785060316, 0.919307603677702, 0.395535007521183,      0.681177733621966), PROX_HAWKER = c(1.16344345150942, 0.959649545299011,      1.08380419022874, 1.24018164124527, 1.24018164124527, 0.775887609068758,      1.2806114078583, 1.23349193679857, 0.780321580506598, 0.699744847940348,      1.89270186421095, 0.213123049695643, 0.213123049695643, 0.635045114374877,      0.635045114374877, 2.08679181031876, 0.775756145922257, 0.478671478091809,      2.11269605893479, 0.601426993813282), PROX_MRT = c(0.899387073359532,      0.944408516927639, 0.503688459146237, 0.402767024758649,      0.402767024758649, 0.585785046275015, 0.218393806785847,      0.166998983475289, 0.515309591544804, 0.751023886560838,      0.847625669994717, 0.793013171832836, 0.793013171832836,      0.865482366580506, 0.865482366580506, 1.00400763232319, 0.357978123578611,      0.771349314593772, 1.03396693725809, 0.498221170198522),          PROX_PARK = c(1.44660566239193, 1.65277848527316, 1.61082819122054,          1.4917670023494, 1.4917670023494, 1.30724345285799, 1.31516124688894,          1.28385310080255, 1.22140134317452, 1.77145949687945,          0.790049777369869, 1.23128896715218, 1.23128896715218,          1.73324375775577, 1.73324375775577, 0.617440020241687,          1.33984402369384, 0.941140572803456, 0.631382355736929,          1.26781451063295), PROX_GOOD_PRISCH = c(2.82458087567675,          2.95137840528657, 3.2388029474634, 3.15473759747012,          3.15473759747012, 2.95461231779958, 3.06740437701091,          3.10133739012884, 2.95770979509606, 3.58938982364218,          2.44639044951476, 3.56420611596829, 3.56420611596829,          3.76914808697313, 3.76914808697313, 2.2532718981807,          3.55013641033528, 3.3146343023011, 2.16851203086393,          3.673854441535), PROX_MALL = c(0.695129776671669, 0.703422933264244,          0.587950861513872, 0.504156272689578, 0.504156272689578,          0.473263954532778, 0.332903613799786, 0.281310431650798,          0.412160376682232, 0.770100764029299, 0.95273084922996,          1.05377974643614, 1.05377974643614, 0.861712986146148,          0.861712986146148, 1.10261213560447, 0.305514521023982,          0.672803550263317, 1.12036230953297, 0.406890039239853         ), PROX_CHAS = c(0.341366062526918, 0.1365287941905,          0.151225190585885, 0.11048408202451, 0.11048408202451,          0.179342279988699, 0.122328851042638, 0.155371621529032,          0.240863562772424, 0.110149755252424, 0.132703338642494,          0.0812638133573676, 0.0812638133573676, 0.0967538959757692,          0.0967538959757692, 0.187666753228527, 0.282171570268124,          0.0886717393158711, 0.194956542036987, 0.176857487498571         ), PROX_SUPERMARKET = c(0.668273194253219, 0.688592108834651,          0.459946280432931, 0.362446168440829, 0.362446168440829,          0.487840963146543, 0.193246634773484, 0.141466460051892,          0.422907964790702, 0.11210687568128, 0.453312253927337,          0.082811926566736, 0.082811926566736, 0.094684564379848,          0.094684564379848, 0.388917381074845, 0.281417393052806,          0.334979160094168, 0.242376621204914, 0.270532795629183         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 1L,          0L, 0L, 1L, 2L, 0L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 2L, 5L, 6L, 6L, 6L,          4L, 4L, 5L, 3L, 3L, 4L, 4L, 3L, 3L, 2L, 4L, 3L, 4L, 4L         ), WITHIN_350M_BUS = c(2L, 6L, 8L, 7L, 7L, 6L, 10L, 9L,          6L, 9L, 9L, 4L, 4L, 8L, 8L, 10L, 10L, 10L, 9L, 8L), WITHIN_1KM_PRISCH = c(3L,          2L, 4L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 4L, 4L, 2L, 2L,          2L, 4L, 2L, 2L, 3L), DNeighbour = c(0, 206.220608675508,          445.18379105715, 498.30074581283, 499.314081175985, 661.873749734713,          709.549689601422, 750.776091024901, 762.311763096664,          775.515739931945, 800.293800117823, 951.668678789396,          951.87636120026, 965.273905371903, 968.22962817477, 985.004786957151,          1000.1002405281, 1021.28842085081, 1153.41432149638,          1210.27899906927)), row.names = c("831", "496", "350",      "164", "844", "238", "929", "105", "757", "1000", "296",      "90", "214", "36", "230", "399", "856", "337", "677", "960"     ), class = "data.frame"), num.trees = 500, mtry = 4, importance = "impurity",      case.weights = c(1, 0.942776756731467, 0.74770075846195,      0.689702777251123, 0.688556933000567, 0.491296620279178,      0.43071400223979, 0.378454895095706, 0.363935568491979, 0.34740206317065,      0.316689724716442, 0.145693465296869, 0.145487502707877,      0.132418155751411, 0.129593880706626, 0.113988833354417,      0.100593342983077, 0.0829007276114988, 0.00842025857386059,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1156750384 
R squared (OOB):                  0.2675281 

$Forests[[832]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(745000, 810000, 795888,      4e+05, 530000, 8e+05, 566888, 533000, 685000, 649888, 755000,      750000, 408000, 840000, 825000, 820000, 620000, 552000, 413888,      7e+05), floor_area_sqm = c(90, 90, 95, 92, 118, 105, 88,      88, 85, 87, 90, 90, 84, 87, 87, 87, 102, 100, 88, 95), storey_order = c(7L,      10L, 7L, 1L, 2L, 6L, 8L, 1L, 4L, 3L, 5L, 11L, 6L, 14L, 5L,      9L, 3L, 1L, 2L, 3L), remaining_lease_mths = c(1057, 1045,      1140, 555, 594, 938, 650, 653, 1038, 1103, 1038, 1035, 647,      1141, 1136, 1136, 908, 910, 668, 1100), PROX_CBD = c(6.0390103189171,      5.99670752478149, 6.26284978479934, 5.99479776583207, 6.1023364257416,      6.53309552941355, 6.76124856282603, 6.92829321613491, 4.89531124268982,      7.02256530608061, 4.88070069409732, 4.88070069409732, 5.38657645344473,      4.70219035054856, 4.59114385332588, 4.59114385332588, 4.95292174150019,      4.64904487497998, 7.88501742637481, 7.97001655790022), PROX_ELDERLYCARE = c(0.798119493593788,      0.788986586736525, 0.69800247969724, 0.420516157550055, 0.14668864145384,      0.112238297630375, 0.20742531007413, 0.389684735109723, 0.307888742732217,      0.467453442926814, 0.312658206579851, 0.312658206579851,      0.465891927060243, 0.200702517977741, 0.125633226962327,      0.125633226962327, 0.0718437191527097, 0.374326446996408,      0.487583248392117, 0.682273370470252), PROX_HAWKER = c(0.151348144296069,      0.199496524550099, 0.130331819855385, 0.295460487376037,      0.107292567178633, 0.357983508144609, 0.171967883722699,      0.133504850959355, 0.546104933523636, 0.207247650371579,      0.595417483526792, 0.595417483526792, 0.351855498276287,      0.646528219825606, 0.762382071136897, 0.762382071136897,      0.126776661941161, 0.28049665267082, 0.645875214067525, 0.840126401207934     ), PROX_MRT = c(0.225262429159589, 0.226103982865864, 0.132116935816272,      0.305306521480229, 0.649340944892975, 0.404028215814371,      0.31120761671675, 0.407218977151475, 0.275254866694397, 0.409658939160285,      0.314337158810329, 0.314337158810329, 0.675587286197546,      0.491479629856663, 0.586728793826683, 0.586728793826683,      0.804865461788644, 0.763812758173444, 0.707952731476156,      0.726942522279936), PROX_PARK = c(0.921128796109604, 0.97332058707081,      0.742212481577902, 0.990750186553446, 0.711925115709351,      0.407986988455317, 0.273246118986377, 0.377410917604964,      1.60860995669454, 0.380160428577633, 1.53366372097489, 1.53366372097489,      1.05249384295472, 1.77379186206272, 1.65596921250538, 1.65596921250538,      0.908868407872405, 1.08394438059851, 0.511064020035708, 0.618444971248099     ), PROX_GOOD_PRISCH = c(2.45094763896652, 2.41026804261554,      2.39901634170637, 2.01228232098645, 1.64363723354824, 1.86607127862969,      1.9155109693321, 2.0639866413545, 2.96671225712824, 2.07008813823767,      3.0451226436528, 3.0451226436528, 3.52335384407219, 2.79995758206102,      2.86977258716747, 2.86977258716747, 3.66355651606602, 3.57098970158234,      2.82520953766913, 2.78644315018514), PROX_MALL = c(1.15586968043917,      1.14826594162738, 0.965908348364742, 0.848644658978131, 0.58741271025502,      0.26702131219094, 0.191774654856939, 0.352244010010256, 0.696065710972082,      0.395390786334096, 0.63262312230698, 0.63262312230698, 0.184401966361696,      0.970860317849455, 0.992224857230604, 0.992224857230604,      0.209686974260184, 0.528365937160055, 0.535655644340599,      0.66906173274608), PROX_CHAS = c(0.103484302768675, 0.157172829578474,      0.0879111496245458, 0.262677718190406, 0.142011209366223,      0.144966662256637, 0.19177461752976, 0.180332756228222, 0.22404402777184,      0.278446199404133, 0.278004299073392, 0.278004299073392,      0.131272369045618, 0.0639130956899198, 0.156405874770629,      0.156405874770629, 0.176171654931402, 0.251376462502101,      0.102679570293108, 0.195243012850588), PROX_SUPERMARKET = c(0.198926203527595,      0.212384620357781, 0.0879117778441782, 0.3581952061826, 0.585686837888717,      0.26343506825427, 0.113049768890948, 0.0762755382886037,      0.224044642536509, 0.0888694671696128, 0.278004958714438,      0.278004958714438, 0.182486832055582, 0.0639125072278545,      0.156405662038775, 0.156405662038775, 0.176171398022836,      0.311533400888457, 0.158953339299884, 0.169510705521186),          WITHIN_350M_KINDERGARTEN = c(3L, 3L, 2L, 1L, 1L, 1L,          1L, 1L, 5L, 0L, 5L, 5L, 1L, 2L, 0L, 0L, 2L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 1L, 2L, 5L,          4L, 5L, 4L, 3L, 5L, 5L, 1L, 4L, 3L, 3L, 1L, 2L, 1L, 0L         ), WITHIN_350M_BUS = c(9L, 10L, 5L, 8L, 5L, 3L, 8L, 7L,          9L, 10L, 8L, 8L, 8L, 7L, 7L, 7L, 7L, 12L, 5L, 7L), WITHIN_1KM_PRISCH = c(1L,          1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L,          1L, 2L, 2L, 1L, 1L), DNeighbour = c(0, 54.4625940037526,          249.33440053002, 435.449026077256, 826.656256079735,          885.789436909922, 1079.29679237805, 1162.51083993119,          1255.00945710713, 1265.12359571061, 1302.88599369252,          1304.7559793342, 1334.18464164513, 1361.23893038107,          1476.75905389148, 1481.76201647036, 1690.90126170691,          1796.63267908376, 1868.99910163004, 1941.91418205367)), row.names = c("832",      "379", "562", "413", "18", "81", "834", "978", "916", "221",      "982", "39", "130", "854", "333", "768", "216", "140", "338",      "904"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998427481588274,      0.967300606441488, 0.901963831674912, 0.670411812129862,      0.627159605301347, 0.477615476611721, 0.411686612087969,      0.339107503443431, 0.331281082394536, 0.302340141217803,      0.30091979863389, 0.278749789251162, 0.258704456610781, 0.177824123471194,      0.174529230515982, 0.0584734460789325, 0.0207446528594263,      0.00542966102985986, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7926895025 
R squared (OOB):                  0.6406372 

$Forests[[833]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(3e+05, 304500, 315000,      340000, 283000, 320000, 338000, 3e+05, 292000, 350000, 288000,      285000, 258000, 4e+05, 416000, 420000, 428000, 433000, 310000,      416000), floor_area_sqm = c(84, 104, 84, 103, 84, 104, 93,      84, 84, 91, 84, 84, 84, 92, 98, 92, 92, 92, 84, 92), storey_order = c(2L,      3L, 2L, 4L, 4L, 3L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 2L, 4L, 5L,      4L, 4L, 3L, 4L), remaining_lease_mths = c(803, 783, 783,      784, 781, 788, 778, 766, 761, 957, 770, 776, 781, 1130, 779,      1143, 1140, 1130, 806, 1140), PROX_CBD = c(16.9304098343314,      16.62872619839, 16.7380919986833, 16.4938482623735, 16.4061281598547,      16.4061281598547, 16.3741208173644, 16.3138748954346, 16.3662877971208,      16.4034806336055, 16.2681803933938, 16.2311391435218, 16.1631400386504,      16.1976566517324, 16.1674221276903, 16.1537572283104, 16.1831859860721,      16.055983361932, 16.5546706157429, 16.055983361932), PROX_ELDERLYCARE = c(0.828632612828485,      0.618318415391572, 0.827102139700697, 0.54260343924556, 0.45678545326778,      0.45678545326778, 0.617661573186221, 0.259941730365991, 0.177020457931737,      0.839978570407226, 0.20801878428071, 0.252142982647588, 0.194171564025932,      9.89208662673193e-07, 0.762025473923165, 0.0462823216560119,      0.0701319802482612, 0.146417557277997, 1.28388145020366,      0.146417557277997), PROX_HAWKER = c(1.5376564224438, 1.328000513126,      1.22509286076097, 1.26080574998962, 1.27662029927611, 1.27662029927611,      1.08852003222566, 1.19589315813724, 1.20613696965479, 0.889236545198411,      1.14155805943316, 1.12300848995143, 1.03995728027003, 1.03146250928298,      0.872582424517839, 0.986028325459381, 1.00994702859189, 0.897672222950446,      0.634516033073404, 0.897672222950446), PROX_MRT = c(1.07382507713197,      1.00682967627403, 0.950017645146174, 0.884131305433386, 0.840195727203247,      0.840195727203247, 0.70945464840636, 0.896077488488813, 1.07002489239586,      0.660139833101166, 0.896888955057001, 0.830985280221221,      0.842728374229233, 1.02706758196582, 0.447065767326062, 1.02112351286352,      1.08237519657155, 0.936151237003446, 0.786543604226707, 0.936151237003446     ), PROX_PARK = c(0.542342748872478, 0.402413252549947, 0.234693283811741,      0.418424058290637, 0.499042267647801, 0.499042267647801,      0.371358045807383, 0.695881850270676, 0.840406553837571,      0.251028276822116, 0.750067315759091, 0.723677668737743,      0.707513815343702, 0.822565203699192, 0.490935310554108,      0.793519520304926, 0.848434833813522, 0.683762717294504,      0.413578796610442, 0.683762717294504), PROX_GOOD_PRISCH = c(7.43262545617428,      7.12509880547394, 7.2060126627476, 6.98980449668537, 6.91087941258894,      6.91087941258894, 6.84990365493624, 6.84997592861041, 6.93507101526025,      6.84769610957781, 6.81173689796023, 6.76533990958697, 6.70927938580052,      6.78043949525415, 6.62018800412964, 6.74044920052795, 6.78038310261662,      6.63421015362065, 6.95112153433386, 6.63421015362065), PROX_MALL = c(0.876234606673171,      0.615098633053939, 0.804164390636077, 0.506769239398443,      0.408074329267436, 0.408074329267436, 0.523710338103731,      0.242195958154985, 0.298590834338171, 0.630333401213655,      0.188162247463955, 0.175221521556568, 0.0870960802892481,      0.189710317758296, 0.402318259451987, 0.180580587241737,      0.241735562355662, 0.118546137622893, 0.809678350084408,      0.118546137622893), PROX_CHAS = c(0.477517805288537, 0.218296317772089,      0.206110482646065, 0.128042490192306, 0.178111672550416,      0.178111672550416, 0.0863783451683255, 0.218904529587093,      0.209004221202181, 0.142060383584178, 0.160774225575301,      0.170601730776313, 0.081875317774622, 0.0868060808909073,      0.277543603442508, 0.0922372285822684, 0.148113838308576,      0.110329053122027, 0.102023856475547, 0.110329053122027),          PROX_SUPERMARKET = c(0.422051752195747, 0.218296734885766,          0.283037745664543, 0.128042463684685, 0.17811123384324,          0.17811123384324, 0.0863776808909183, 0.204979568486045,          0.303085580417471, 0.142061131074292, 0.189660657064324,          0.137275095711229, 0.0873208554119548, 0.195853508350489,          0.277543419111335, 0.186806037215644, 0.247969406526707,          0.123371553336512, 0.57240719914765, 0.123371553336512         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 0L, 0L, 0L,          1L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 4L, 3L, 4L, 4L, 4L,          4L, 4L, 8L, 3L, 6L, 5L, 6L, 8L, 3L, 8L, 7L, 3L, 2L, 3L         ), WITHIN_350M_BUS = c(4L, 6L, 5L, 6L, 8L, 8L, 4L, 8L,          5L, 7L, 11L, 10L, 11L, 7L, 6L, 7L, 7L, 7L, 10L, 7L),          WITHIN_1KM_PRISCH = c(3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L,          4L, 4L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 5L, 5L, 5L), DNeighbour = c(0,          310.730342513015, 317.825589933558, 450.229024997445,          526.483066102201, 533.243145723261, 596.2512270999, 644.109604696612,          656.459179064274, 693.286059540435, 697.078271591076,          714.00675405757, 796.291543004696, 832.37739082014, 858.604586636124,          880.981138556673, 886.043529632946, 945.647488104845,          948.8354297351, 949.446206361083)), row.names = c("833",      "26", "896", "150", "49", "595", "788", "848", "687", "206",      "798", "945", "872", "427", "351", "869", "661", "741", "22",      "538"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.797254057871065,      0.788443685322032, 0.600830745794225, 0.479572953270626,      0.468629282626209, 0.36677232653647, 0.291347192760316, 0.272430192662524,      0.217909040152018, 0.212482553214125, 0.188754829333133,      0.0879704881784918, 0.0535464158807144, 0.0331978178537285,      0.0193268742635415, 0.0166662408200662, 6.37755315290592e-05,      1.65426337887944e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3289551944 
R squared (OOB):                  -0.0009905476 

$Forests[[834]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(566888, 533000, 8e+05,      649888, 530000, 4e+05, 795888, 745000, 810000, 413888, 7e+05,      495000, 685000, 840000, 755000, 750000, 825000, 820000, 408000,      682000), floor_area_sqm = c(88, 88, 105, 87, 118, 92, 95,      90, 90, 88, 95, 91, 85, 87, 90, 90, 87, 87, 84, 100), storey_order = c(8L,      1L, 6L, 3L, 2L, 1L, 7L, 7L, 10L, 2L, 3L, 3L, 4L, 14L, 5L,      11L, 5L, 9L, 6L, 10L), remaining_lease_mths = c(650, 653,      938, 1103, 594, 555, 1140, 1057, 1045, 668, 1100, 648, 1038,      1141, 1038, 1035, 1136, 1136, 647, 1120), PROX_CBD = c(6.76124856282603,      6.92829321613491, 6.53309552941355, 7.02256530608061, 6.1023364257416,      5.99479776583207, 6.26284978479934, 6.0390103189171, 5.99670752478149,      7.88501742637481, 7.97001655790022, 5.90960582305016, 4.89531124268982,      4.70219035054856, 4.88070069409732, 4.88070069409732, 4.59114385332588,      4.59114385332588, 5.38657645344473, 9.28682806708392), PROX_ELDERLYCARE = c(0.20742531007413,      0.389684735109723, 0.112238297630375, 0.467453442926814,      0.14668864145384, 0.420516157550055, 0.69800247969724, 0.798119493593788,      0.788986586736525, 0.487583248392117, 0.682273370470252,      1.51538883702403, 0.307888742732217, 0.200702517977741, 0.312658206579851,      0.312658206579851, 0.125633226962327, 0.125633226962327,      0.465891927060243, 0.306248896776786), PROX_HAWKER = c(0.171967883722699,      0.133504850959355, 0.357983508144609, 0.207247650371579,      0.107292567178633, 0.295460487376037, 0.130331819855385,      0.151348144296069, 0.199496524550099, 0.645875214067525,      0.840126401207934, 0.358173289653819, 0.546104933523636,      0.646528219825606, 0.595417483526792, 0.595417483526792,      0.762382071136897, 0.762382071136897, 0.351855498276287,      0.449541776391294), PROX_MRT = c(0.31120761671675, 0.407218977151475,      0.404028215814371, 0.409658939160285, 0.649340944892975,      0.305306521480229, 0.132116935816272, 0.225262429159589,      0.226103982865864, 0.707952731476156, 0.726942522279936,      0.107293182941521, 0.275254866694397, 0.491479629856663,      0.314337158810329, 0.314337158810329, 0.586728793826683,      0.586728793826683, 0.675587286197546, 0.819017740329599),          PROX_PARK = c(0.273246118986377, 0.377410917604964, 0.407986988455317,          0.380160428577633, 0.711925115709351, 0.990750186553446,          0.742212481577902, 0.921128796109604, 0.97332058707081,          0.511064020035708, 0.618444971248099, 0.242854512033048,          1.60860995669454, 1.77379186206272, 1.53366372097489,          1.53366372097489, 1.65596921250538, 1.65596921250538,          1.05249384295472, 0.754667699158598), PROX_GOOD_PRISCH = c(1.9155109693321,          2.0639866413545, 1.86607127862969, 2.07008813823767,          1.64363723354824, 2.01228232098645, 2.39901634170637,          2.45094763896652, 2.41026804261554, 2.82520953766913,          2.78644315018514, 0.280669099407447, 2.96671225712824,          2.79995758206102, 3.0451226436528, 3.0451226436528, 2.86977258716747,          2.86977258716747, 3.52335384407219, 1.50498632547922),          PROX_MALL = c(0.191774654856939, 0.352244010010256, 0.26702131219094,          0.395390786334096, 0.58741271025502, 0.848644658978131,          0.965908348364742, 1.15586968043917, 1.14826594162738,          0.535655644340599, 0.66906173274608, 1.58703862644467,          0.696065710972082, 0.970860317849455, 0.63262312230698,          0.63262312230698, 0.992224857230604, 0.992224857230604,          0.184401966361696, 0.732362808464395), PROX_CHAS = c(0.19177461752976,          0.180332756228222, 0.144966662256637, 0.278446199404133,          0.142011209366223, 0.262677718190406, 0.0879111496245458,          0.103484302768675, 0.157172829578474, 0.102679570293108,          0.195243012850588, 0.370138139733765, 0.22404402777184,          0.0639130956899198, 0.278004299073392, 0.278004299073392,          0.156405874770629, 0.156405874770629, 0.131272369045618,          0.30624919123722), PROX_SUPERMARKET = c(0.113049768890948,          0.0762755382886037, 0.26343506825427, 0.0888694671696128,          0.585686837888717, 0.3581952061826, 0.0879117778441782,          0.198926203527595, 0.212384620357781, 0.158953339299884,          0.169510705521186, 0.644143855185467, 0.224044642536509,          0.0639125072278545, 0.278004958714438, 0.278004958714438,          0.156405662038775, 0.156405662038775, 0.182486832055582,          0.309780650655361), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 1L, 1L, 2L, 3L, 3L, 1L, 1L, 1L, 5L, 2L, 5L,          5L, 0L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(4L, 5L,          5L, 3L, 2L, 1L, 3L, 3L, 3L, 1L, 0L, 2L, 4L, 4L, 5L, 5L,          3L, 3L, 1L, 1L), WITHIN_350M_BUS = c(8L, 7L, 3L, 10L,          5L, 8L, 5L, 9L, 10L, 5L, 7L, 5L, 9L, 7L, 8L, 8L, 7L,          7L, 8L, 7L), WITHIN_1KM_PRISCH = c(0L, 0L, 1L, 0L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          1L), DNeighbour = c(0, 192.124194653732, 236.615578579466,          268.716696181189, 659.936694986171, 833.748345066461,          866.114338241769, 1079.29679237805, 1080.27973764581,          1270.47093451182, 1431.39294090783, 1769.70867002038,          2255.97188326537, 2283.30707200466, 2315.043655562, 2317.19959589691,          2396.26973013587, 2401.02277059667, 2412.42032167928,          2622.07083323948)), row.names = c("834", "978", "81",      "221", "18", "413", "562", "832", "379", "338", "904", "226",      "916", "854", "982", "39", "333", "768", "130", "794"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.9892912718445, 0.98377981019893, 0.979104930499162, 0.877321666812682,      0.80800866476077, 0.793686307519825, 0.689844825315388, 0.689332041784752,      0.585578584059231, 0.492791823848591, 0.296450168994877,      0.067469965187387, 0.0584199464915896, 0.0486096348783748,      0.0479712281984821, 0.0271640612823574, 0.0260818437975757,      0.0235681415934091, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10571987375 
R squared (OOB):                  0.5366904 

$Forests[[835]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 375000, 4e+05,      368000, 342000, 3e+05, 425000, 390000, 395888, 332000, 371000,      365000, 345000, 310000, 313000, 390000, 338000, 4e+05, 330000,      310000), floor_area_sqm = c(92, 100, 100, 100, 105, 94, 93,      91, 94, 104, 91, 91, 92, 104, 103, 90, 103, 91, 104, 104),          storey_order = c(3L, 5L, 5L, 2L, 4L, 2L, 3L, 2L, 3L,          3L, 2L, 5L, 2L, 3L, 4L, 2L, 4L, 2L, 3L, 2L), remaining_lease_mths = c(922,          935, 923, 937, 822, 817, 1029, 956, 1063, 838, 957, 965,          974, 838, 823, 947, 836, 956, 847, 840), PROX_CBD = c(18.2744201988815,          18.2155576397088, 18.2155576397088, 18.1853912561079,          18.4174433264455, 18.4835571341017, 18.2498667293237,          17.980006840849, 18.1899007658477, 18.3394484051955,          17.630719557776, 17.6174166659189, 17.6174166659189,          18.2872060948971, 19.0236365771618, 17.5579663674298,          18.1853470145009, 17.5146993337396, 18.238428451998,          18.6954685875173), PROX_ELDERLYCARE = c(1.91030467455468,          1.82774218733134, 1.82774218733134, 1.83831888483507,          2.01990466694452, 2.12772209584432, 2.08641833813892,          1.69038013517483, 2.0412967820292, 1.68689945441126,          1.35614304544574, 1.58663462608392, 1.58663462608392,          1.57361264937598, 2.54744167947726, 1.26304449634962,          1.46334015610348, 1.21552371031002, 1.49823830734066,          1.96536267509963), PROX_HAWKER = c(0.292675997882175,          0.218122417644225, 0.218122417644225, 0.267411626133086,          0.365194571711665, 0.47819209562201, 0.574007707230075,          0.32947027962251, 0.56403310040428, 0.322806547864559,          0.550798352023498, 0.699652587196505, 0.699652587196505,          0.464971900021808, 0.905177457311038, 0.610726758846462,          0.490406092071559, 0.65109908849923, 0.548143788898404,          0.696312293428963), PROX_MRT = c(0.25859759791353, 0.24629140143503,          0.24629140143503, 0.186589372260449, 0.394110762668951,          0.440067919828323, 0.270260950193414, 0.131298797620671,          0.225540054498686, 0.722989849955079, 0.481509556817778,          0.430901962912929, 0.430901962912929, 0.870907467758581,          0.985299554465195, 0.415424130147435, 0.888080533877704,          0.367017506823782, 0.950317003394984, 1.06426899086337         ), PROX_PARK = c(0.366705585759005, 0.449638685926872,          0.449638685926872, 0.431621232177097, 0.305293053539538,          0.199823808978303, 0.261745107633199, 0.597192139646456,          0.321396863181507, 0.845903786092674, 0.706852169587072,          0.815337468455046, 0.815337468455046, 0.791043930625847,          0.583731630523903, 0.622915525490857, 0.741201414908801,          0.57589083993138, 0.690805332809177, 0.939968281858902         ), PROX_GOOD_PRISCH = c(7.60907430161507, 7.54917724573578,          7.54917724573578, 7.51998659904145, 7.75189187586876,          7.82005706650481, 7.5938744989762, 7.31481473864251,          7.5338271442293, 7.67457853159282, 6.96345421686322,          6.95710824587607, 6.95710824587607, 7.62743554697163,          8.3582852678982, 6.89020500321914, 7.52724739525134,          6.84682201594428, 7.58243576478886, 8.03533881462458),          PROX_MALL = c(0.31638525459609, 0.249434383428027, 0.249434383428027,          0.304347432784639, 0.368677515727611, 0.482762920255867,          0.606938778613173, 0.38257003715367, 0.601163950940652,          0.270650184250749, 0.581015113036356, 0.753687860987251,          0.753687860987251, 0.369641594977131, 0.880738168625507,          0.488271313828636, 0.362005799982455, 0.437698049352173,          0.291730094824992, 0.50227152913363), PROX_CHAS = c(0.258594927218762,          0.246283235408848, 0.246283235408848, 0.186582621643492,          0.279695275413424, 0.297885151722028, 0.270276303087269,          0.131281394661179, 0.225556636612455, 0.186439783883369,          0.481496129777697, 0.430898255483663, 0.430898255483663,          0.000458346083760352, 0.162790585292827, 0.40162373925963,          0.11010335009361, 0.354009255575758, 0.0811018368302058,          0.387978032092424), PROX_SUPERMARKET = c(0.297968471640837,          0.233030240431279, 0.233030240431279, 0.289364184128333,          0.3481604922123, 0.402675729717655, 0.384544806397502,          0.37748716441855, 0.37174850741073, 0.279112228601587,          0.432325009404537, 0.467885028141574, 0.467885028141574,          0.367596841627256, 0.258877921583013, 0.339170507836652,          0.36017462873485, 0.288534867112482, 0.289827711639516,          0.500728516827066), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 2L, 2L, 2L, 6L, 1L,          2L, 7L, 2L, 4L, 0L), WITHIN_350M_CHILDCARE = c(7L, 7L,          7L, 7L, 7L, 9L, 6L, 5L, 5L, 4L, 6L, 4L, 4L, 4L, 4L, 6L,          4L, 6L, 3L, 3L), WITHIN_350M_BUS = c(17L, 15L, 15L, 16L,          14L, 12L, 11L, 14L, 13L, 11L, 8L, 6L, 6L, 9L, 11L, 9L,          11L, 10L, 10L, 8L), WITHIN_1KM_PRISCH = c(5L, 6L, 6L,          4L, 5L, 5L, 4L, 3L, 4L, 6L, 4L, 3L, 3L, 5L, 2L, 4L, 5L,          4L, 4L, 5L), DNeighbour = c(0, 89.3281798361046, 89.3739761936941,          96.7858448403423, 137.823998659663, 223.083160237022,          294.447726699684, 295.459381250517, 306.042329059273,          552.96384462413, 656.33527910506, 678.847491646958, 682.159573412351,          723.493371206606, 743.695850667512, 746.869151426693,          774.014940420991, 795.069127837516, 825.53793980821,          846.783665723333)), row.names = c("835", "571", "643",      "31", "257", "774", "369", "910", "422", "693", "547", "220",      "14", "414", "248", "545", "857", "93", "839", "817"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.977867076855939, 0.977844504172675, 0.974042515201322,      0.947719013567844, 0.866007686436884, 0.77279470215391, 0.771332096143067,      0.75581720544311, 0.32898166891951, 0.159386452647226, 0.127672605353886,      0.123219551756713, 0.0728988121441132, 0.0522854610911705,      0.0493122370464979, 0.0270556365327662, 0.0140218023496048,      0.00245523384614097, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       775644173 
R squared (OOB):                  0.3991817 

$Forests[[836]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 491000, 460000,      445000, 450000, 485000, 347000, 370000, 455000, 335000, 290000,      585000, 334008, 3e+05, 330000, 415000, 370000, 390000, 285000,      450000), floor_area_sqm = c(93, 92, 93, 93, 93, 93, 90, 90,      99, 102, 92, 91, 103, 99, 103, 92, 102, 92, 92, 92), storey_order = c(3L,      9L, 7L, 7L, 4L, 10L, 2L, 3L, 2L, 4L, 4L, 10L, 2L, 1L, 2L,      2L, 3L, 1L, 1L, 4L), remaining_lease_mths = c(1018, 1137,      1135, 1117, 1131, 1112, 971, 977, 951, 940, 690, 995, 917,      697, 937, 1132, 927, 1132, 697, 1135), PROX_CBD = c(14.9930585550483,      15.0782917837809, 15.0332592042754, 14.9897790388493, 15.1194109037639,      14.8542518275748, 14.6079806280174, 14.489397367385, 14.3012013074868,      14.4474740114555, 14.8961777358487, 14.2059144167977, 14.2719972222741,      14.8036441916204, 14.5165027597446, 14.6122009832922, 14.12564920201,      14.6424103631698, 14.6519123293037, 14.5310939664424), PROX_ELDERLYCARE = c(0.766085625885291,      0.811417024562957, 0.653175957864657, 0.622451014094897,      0.632846087105322, 0.671766786446111, 0.966138977916587,      0.929205058584809, 0.93663965535868, 1.50338082315219, 0.090689252710872,      0.923774065318005, 1.50921581969441, 0.0965145667339982,      0.389463724969334, 1.68824062303628, 1.44816412197145, 1.72557175775889,      0.254409923718011, 1.79186944623163), PROX_HAWKER = c(0.230353911902381,      0.241120378832392, 0.344843972730765, 0.366862032582334,      0.399490681633122, 0.3485650804915, 0.31691894051251, 0.478869651742105,      0.693090021451824, 0.588144724666333, 1.02395142210687, 0.829910539202106,      0.684102697062058, 1.07372228066705, 1.0617726338971, 0.707122679385598,      0.778468578249857, 0.740384095011384, 1.21550185558774, 0.816792492128141     ), PROX_MRT = c(0.545901722651448, 0.604690005035212, 0.587916938270161,      0.550628186781769, 0.674936552563307, 0.41695674877223, 0.188565130994124,      0.0437298005890327, 0.189883903502813, 0.224566301285939,      0.437229774651496, 0.127617925270923, 0.347262283963267,      0.363746184676816, 0.0901878473788138, 0.295449456212788,      0.476637705223286, 0.312698200175978, 0.218405848235923,      0.197201307651512), PROX_PARK = c(0.937160160632966, 0.889047622652367,      0.858154923175006, 0.886983007034967, 0.773048101136696,      1.00246315577637, 1.07918529837209, 0.935596264101672, 0.812876767906526,      1.55939681176166, 0.600185611341118, 0.716522496183652, 1.38760566459916,      0.497172938499345, 0.278686390612803, 1.76906915549279, 1.20701221478007,      1.78460824921244, 0.325486875199719, 1.79335149216305), PROX_GOOD_PRISCH = c(5.6774973866509,      5.77803713337603, 5.67093979106873, 5.61521578968116, 5.74516136190441,      5.49301939379528, 5.35450137646782, 5.1963266927986, 4.98177209241419,      5.45861643017911, 5.28070608730985, 4.85056771881294, 5.26118802945754,      5.17691715074399, 4.93093863547281, 5.7298925008129, 5.06260566207177,      5.77937603269072, 4.99149337529414, 5.7030752613132), PROX_MALL = c(0.691703794200818,      0.79347213158724, 0.671424081833306, 0.615054651957031, 0.744876648240093,      0.497662931100388, 0.479398555662368, 0.345992784345898,      0.236735170365795, 0.12145856762689, 0.252669380741675, 0.148456555084967,      0.108121271181015, 0.278400001713995, 0.38830118917563, 0.426875162675013,      0.287395381957405, 0.482269498416602, 0.377416550632833,      0.466036051693473), PROX_CHAS = c(0.094086780959658, 0.128222338920945,      0.0438337826764906, 0.101756162724623, 0.0812821875339188,      0.139715392485403, 0.166948923507452, 3.77135010377852e-08,      0.214782230853987, 0.121458549123021, 0.252669404800451,      0.148456588323488, 0.108121286081234, 0.190291087196022,      0.0918929757518676, 0.270793953405505, 0.182188888557241,      0.280031834846542, 0.0736014920224838, 0.162368565956873),          PROX_SUPERMARKET = c(0.189746195069109, 0.286089695736963,          0.238848984717478, 0.215874380558773, 0.325050502595441,          0.118312809115248, 0.218811722485387, 0.31785895032531,          0.172194506074768, 0.134916350552101, 0.186322037460738,          0.154204342539502, 0.105248463653719, 0.190291125096353,          0.354026220875794, 0.270794118098451, 0.277268812686258,          0.280032026158491, 0.128878263549785, 0.162368758687164         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 0L, 0L, 1L,          2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 0L, 1L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 3L,          2L, 5L, 6L, 5L, 3L, 7L, 4L, 3L, 5L, 5L, 3L, 3L, 3L, 4L         ), WITHIN_350M_BUS = c(11L, 10L, 10L, 11L, 12L, 11L,          13L, 13L, 15L, 11L, 7L, 17L, 10L, 9L, 7L, 6L, 10L, 6L,          9L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 3L, 3L, 3L, 4L,          5L, 5L, 3L, 5L, 3L, 3L, 5L, 3L, 2L, 4L, 5L, 3L, 3L, 3L         ), DNeighbour = c(0, 102.759970637586, 116.552207943924,          142.975113496924, 176.285218606725, 197.656723035251,          390.007565935898, 505.898362595191, 711.894137269102,          805.577881755577, 825.924703991917, 833.889149492173,          878.739509742914, 889.941843618986, 919.603893598168,          936.196300584583, 939.69467824815, 970.74016344575, 1044.71231879884,          1048.6987337356)), row.names = c("836", "568", "865",      "500", "299", "159", "385", "374", "717", "826", "87", "146",      "381", "995", "592", "489", "703", "323", "986", "609"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.980888866073207, 0.97544844605675, 0.963170626947644, 0.94428391958763,      0.930213980898934, 0.742514597957988, 0.588725709598393,      0.290717331193561, 0.168031415672896, 0.144196338376188,      0.135211880506342, 0.088725294231207, 0.0783171344598601,      0.0533824544357016, 0.0412283492730328, 0.0388406929006273,      0.0204920870207363, 5.75799195783561e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4944296546 
R squared (OOB):                  0.2133611 

$Forests[[837]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(550000, 510000, 498000,      589000, 550000, 520000, 532000, 455000, 395000, 535000, 545000,      455000, 495000, 490000, 398000, 437000, 415000, 412000, 432000,      365000), floor_area_sqm = c(98, 97, 93, 96, 95, 93, 96, 92,      90, 93, 93, 93, 93, 95, 93, 93, 93, 90, 93, 90), storey_order = c(4L,      2L, 2L, 6L, 4L, 4L, 4L, 4L, 1L, 4L, 5L, 5L, 5L, 2L, 1L, 2L,      2L, 3L, 5L, 3L), remaining_lease_mths = c(1103, 1104, 1102,      1111, 1115, 1118, 1111, 1133, 997, 1118, 1127, 1138, 1080,      1111, 1077, 1076, 1071, 1034, 1129, 979), PROX_CBD = c(13.7784857598507,      13.7787547800329, 13.8269911518463, 13.8838492138892, 13.9206851659757,      13.7912064237251, 13.8842234613226, 13.5263069451707, 13.4480864429089,      13.8964286142315, 13.8964286142315, 13.5153222954464, 14.2035293519974,      13.7780295697528, 14.2040057462849, 14.2040057462849, 14.2040057462849,      13.9701294998534, 13.4495242740615, 13.6373310118807), PROX_ELDERLYCARE = c(0.303554199654945,      0.357313426679343, 0.272443342502121, 0.321249151015697,      0.410984632703067, 0.194902312085005, 0.284905700992106,      0.13293861465481, 0.38095926022983, 0.28821019895416, 0.28821019895416,      0.128038783583345, 0.685279068417721, 0.24280876806526, 0.732225931930739,      0.732225931930739, 0.732225931930739, 0.798789790509628,      0.226392675254826, 0.753498484846986), PROX_HAWKER = c(0.771130061467184,      0.779750574682814, 0.718894335359525, 0.661984274687099,      0.63246529422046, 0.761066408094757, 0.667389882084889, 1.0232116664491,      1.11021170000921, 0.700607063348248, 0.700607063348248, 1.06471945671836,      0.384064154962602, 0.855348356505915, 0.429643877236979,      0.429643877236979, 0.429643877236979, 0.796241674024292,      1.13086059974118, 1.08343538740726), PROX_MRT = c(0.334453451125385,      0.373119808041594, 0.250191496834268, 0.202599849124069,      0.247793554682504, 0.263976344610204, 0.172676244118343,      0.529059791722705, 0.436627689790507, 0.214342865325431,      0.214342865325431, 0.531733722241289, 0.289240493397468,      0.290902656750774, 0.339881548667158, 0.339881548667158,      0.339881548667158, 0.262922949537813, 0.537207200764636,      0.0904459633140829), PROX_PARK = c(1.07038952907209, 1.07510958061046,      1.00953333913803, 0.953674473627188, 0.9355470513087, 1.03946212768551,      0.946790994443363, 1.00320858387115, 0.782217598170287, 0.945155408432775,      0.945155408432775, 1.12627074536918, 0.69423802629866, 1.08412864631293,      0.735378016798131, 0.735378016798131, 0.735378016798131,      0.929619749314005, 1.14705623529365, 0.802899104641211),          PROX_GOOD_PRISCH = c(4.41640053984819, 4.43794264479214,          4.43409233459216, 4.48950135049007, 4.55661004860153,          4.37243865161908, 4.46427355245829, 4.12550653324601,          4.1394886986689, 4.42474408393319, 4.42474408393319,          4.05859518452173, 4.84858590291698, 4.27934963146811,          4.87692111553996, 4.87692111553996, 4.87692111553996,          4.76155598853922, 3.97306691053722, 4.47444600576345),          PROX_MALL = c(0.546157830895501, 0.579723774298741, 0.464449368072494,          0.415387276861254, 0.441605558767423, 0.47180896375681,          0.384398044205003, 0.734460127270614, 0.747053206605742,          0.36232957329041, 0.36232957329041, 0.741140095950697,          0.37351280301214, 0.507308338763366, 0.458083927679449,          0.458083927679449, 0.458083927679449, 0.698652085628877,          0.817008429043632, 0.719665126414215), PROX_CHAS = c(0.171232412843018,          0.2330532561781, 0.093713435160417, 0.130388475133542,          0.230184731543739, 3.14247486029477e-08, 0.0936868185767241,          0.164485608616764, 0.419877338676521, 0.190952462752685,          0.190952462752685, 0.0484693686848179, 0.170907589664044,          0.246000912873009, 0.0920652608940773, 0.0920652608940773,          0.0920652608940773, 0.224338502615803, 0.142936854782623,          0.111923036871509), PROX_SUPERMARKET = c(0.171231859107883,          0.233052713938452, 0.0937132175773042, 0.130388583033251,          0.23018467784701, 8.52808058992138e-07, 0.093687407280864,          0.265115106421715, 0.428569074432488, 0.190953240917096,          0.190953240917096, 0.321659607097496, 0.170908382081647,          0.271122867675942, 0.0920659899308881, 0.0920659899308881,          0.0920659899308881, 0.281017798180362, 0.417643104955167,          0.371011221099329), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L,          1L, 1L, 2L, 0L, 2L), WITHIN_350M_CHILDCARE = c(5L, 4L,          5L, 3L, 4L, 4L, 3L, 5L, 5L, 4L, 4L, 4L, 5L, 4L, 5L, 5L,          5L, 7L, 3L, 6L), WITHIN_350M_BUS = c(7L, 11L, 8L, 9L,          13L, 8L, 7L, 2L, 4L, 9L, 9L, 6L, 9L, 9L, 9L, 9L, 9L,          13L, 5L, 11L), WITHIN_1KM_PRISCH = c(6L, 8L, 5L, 5L,          5L, 5L, 5L, 6L, 7L, 5L, 5L, 5L, 5L, 6L, 5L, 5L, 5L, 8L,          4L, 8L), DNeighbour = c(0, 65.9891030282797, 95.5593923149276,          130.099210816543, 147.278176390803, 164.37908328842,          188.197519102299, 300.142119576867, 340.676912283711,          348.903493043975, 351.966391480405, 421.995481935701,          439.714550720228, 439.791840657081, 461.430297036656,          463.412938195954, 464.982779403419, 507.259344758945,          515.669699832505, 523.160858365806)), row.names = c("837",      "549", "376", "723", "516", "420", "670", "779", "655", "760",      "442", "183", "66", "282", "448", "911", "272", "301", "988",      "660"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.968432855310616,      0.934385429958452, 0.880141685900078, 0.847778197488162,      0.81229847833334, 0.757932414659648, 0.450050355257646, 0.331720820806589,      0.308275051811437, 0.299626959661284, 0.122047849943536,      0.0861813842420255, 0.086035622200672, 0.0493141257112319,      0.0463835262495186, 0.0441182153633859, 0.0035839726438118,      0.000808437469569554, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3129917040 
R squared (OOB):                  0.219429 

$Forests[[838]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(325000, 340000, 320000,      336000, 338000, 335000, 362000, 355000, 303888, 340000, 348000,      315000, 293000, 370000, 380000, 416000, 326000, 370000, 380000,      360000), floor_area_sqm = c(90, 90, 91, 90, 94, 90, 94, 94,      90, 102, 95, 87, 86, 95, 93, 93, 101, 93, 93, 93), storey_order = c(4L,      4L, 1L, 2L, 2L, 5L, 4L, 4L, 5L, 2L, 1L, 5L, 1L, 5L, 2L, 6L,      1L, 1L, 2L, 2L), remaining_lease_mths = c(973, 1011, 980,      966, 1076, 998, 976, 1070, 1008, 968, 968, 1004, 1006, 977,      1132, 1132, 942, 1125, 1136, 1135), PROX_CBD = c(18.5353901232527,      18.5954829873069, 18.4122801485573, 18.263890012402, 18.893500205596,      18.976831626196, 18.3273029006797, 18.9417612550563, 19.0279685600245,      18.6342583478867, 18.0323194354466, 18.9558501171738, 18.9558501171738,      18.2449080671561, 18.1279148711176, 18.2305685201872, 17.6460086713989,      18.2305685201872, 18.1376577985599, 18.1376577985599), PROX_ELDERLYCARE = c(3.18651864771223,      3.21245115339435, 3.05606256580079, 2.93603771613334, 3.10102691254995,      3.28231449363414, 2.7120525382807, 3.09832013994742, 3.26154359027314,      2.72992435028626, 2.88259030935981, 3.04148171914245, 3.04148171914245,      2.54228790651909, 2.51087611030153, 2.5602844754638, 2.69583292953839,      2.5602844754638, 2.49441526227585, 2.49441526227585), PROX_HAWKER = c(0.491879726860981,      0.468862715548992, 0.284310921582288, 0.135415800319106,      0.926259022488312, 0.923592674397851, 0.729165861663657,      0.981837341088666, 0.990561993667382, 0.947673142820091,      0.459055170630849, 1.03425383708264, 1.03425383708264, 0.859760115655931,      0.487567663506197, 0.555435817196439, 0.543702723258422,      0.555435817196439, 0.528296501129656, 0.528296501129656),          PROX_MRT = c(0.375479822529604, 0.485913485771313, 0.34633408104891,          0.269488316579814, 0.777214903782309, 0.822784932057268,          0.470919202147399, 0.831940647091921, 0.880588410111357,          0.717283111076423, 0.228324090957444, 0.87145727172961,          0.87145727172961, 0.597257652192269, 0.74928998522808,          0.810957189319413, 0.514213843772978, 0.810957189319413,          0.789676869843372, 0.789676869843372), PROX_PARK = c(1.15334089580929,          0.966363588730214, 0.872887750975024, 0.826451671225411,          1.53153013283021, 1.4431849310919, 1.51959638840156,          1.58031197441792, 1.5140651316136, 1.68545701841371,          1.25712692932115, 1.64892029001525, 1.64892029001525,          1.66089445329223, 0.317511189836545, 0.269300347674678,          0.873328686748902, 0.269300347674678, 0.276326305891841,          0.276326305891841), PROX_GOOD_PRISCH = c(8.87993213136606,          8.94334048589707, 8.76068312560123, 8.61262144573917,          9.23793284137011, 9.32093903042593, 8.6741083827629,          9.2863930262578, 9.37202430611723, 8.98296462693421,          8.37645219680457, 9.30119351841798, 9.30119351841798,          8.59525181849715, 8.49670627721454, 8.60245346442475,          7.99076792195858, 8.60245346442475, 8.50873818737911,          8.50873818737911), PROX_MALL = c(0.460655941356388, 0.594166870248601,          0.458641270318743, 0.374925429890344, 0.833273819621717,          0.897736377807805, 0.437943127987326, 0.886414086630636,          0.951179576311185, 0.719594778264249, 0.12060760008054,          0.918650450187965, 0.918650450187965, 0.537890109309282,          0.819155488013484, 0.89702383385846, 0.441435937338541,          0.89702383385846, 0.814982856398022, 0.814982856398022         ), PROX_CHAS = c(0.165734202429707, 0.186588167457245,          0.182706372800723, 0.0541347282504724, 0.143741090403558,          0.237819060284531, 0.319053536773146, 0.0880613138842689,          0.184556275618948, 0.294409401108374, 0.120607657412939,          0.067384164825537, 0.067384164825537, 0.274147949012332,          0.0462043949149095, 0.080524556228062, 0.441435968696221,          0.080524556228062, 0.0547102897319272, 0.0547102897319272         ), PROX_SUPERMARKET = c(0.167679568764744, 0.195869762300225,          0.182706945219403, 0.0541355525390397, 0.218188374485768,          0.322795161753339, 0.198027823348086, 0.175726554209016,          0.3125742651816, 0.247755307750907, 0.119017844673248,          0.102761308178796, 0.102761308178796, 0.161035318973668,          0.467157902200199, 0.512175097136782, 0.446325988440648,          0.512175097136782, 0.504768063926141, 0.504768063926141         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 0L, 2L, 3L,          0L, 2L, 2L, 1L, 2L, 2L, 2L, 0L, 0L, 0L, 1L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(7L, 4L, 7L, 5L, 4L, 4L,          6L, 4L, 2L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 2L, 3L, 2L, 2L         ), WITHIN_350M_BUS = c(12L, 10L, 12L, 11L, 8L, 9L, 12L,          8L, 6L, 5L, 14L, 8L, 8L, 9L, 10L, 7L, 11L, 7L, 10L, 10L         ), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 4L, 4L, 4L, 5L,          4L, 4L, 4L, 4L, 4L, 4L, 5L, 2L, 2L, 3L, 2L, 2L, 2L),          DNeighbour = c(0, 244.286289725674, 288.205000405341,          380.864345051307, 432.323598988186, 452.710709328726,          473.324399899392, 488.101210000454, 514.268567738263,          529.807714478886, 532.313341993057, 536.004768621693,          537.552167366171, 651.263012269771, 871.454906502753,          885.341230839222, 886.079704456187, 891.812094924882,          902.84147344894, 912.920253180388)), row.names = c("838",      "901", "722", "548", "745", "915", "873", "932", "570", "7",      "354", "52", "951", "5", "461", "401", "456", "770", "285",      "378"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.861920596495711,      0.810605315517645, 0.682192790965684, 0.601772240254689,      0.568652016130391, 0.534632768777761, 0.509995286113483,      0.466035190320345, 0.439835486122508, 0.43561022855807, 0.429386529639058,      0.426778246041413, 0.241162300221451, 0.00788154883626432,      0.00354104992681872, 0.00335670919787991, 0.00208927169453705,      0.00048217229749264, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       570821972 
R squared (OOB):                  0.3352728 

$Forests[[839]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 338000, 310000,      330000, 332000, 330000, 320000, 310000, 350000, 385000, 365000,      4e+05, 4e+05, 375000, 368000, 450000, 370000, 342000, 3e+05,      390000), floor_area_sqm = c(104, 103, 104, 105, 104, 105,      107, 104, 107, 90, 91, 90, 100, 100, 100, 93, 92, 105, 85,      91), storey_order = c(3L, 4L, 3L, 1L, 3L, 1L, 1L, 2L, 3L,      3L, 4L, 3L, 5L, 5L, 2L, 4L, 3L, 4L, 2L, 2L), remaining_lease_mths = c(847,      836, 838, 909, 838, 896, 909, 840, 910, 1060, 1061, 953,      923, 935, 937, 950, 922, 822, 979, 956), PROX_CBD = c(18.238428451998,      18.1853470145009, 18.2872060948971, 18.4634083712346, 18.3394484051955,      17.9794873864528, 18.5552891680356, 18.6954685875173, 18.8361111070307,      17.6242343596777, 17.5974072281911, 17.5759295796121, 18.2155576397088,      18.2155576397088, 18.1853912561079, 17.4336546583772, 18.2744201988815,      18.4174433264455, 18.0119212314593, 17.980006840849), PROX_ELDERLYCARE = c(1.49823830734066,      1.46334015610348, 1.57361264937598, 1.70649895251479, 1.68689945441126,      1.20397588034421, 1.77696496808422, 1.96536267509963, 2.10089317294022,      0.892136309268664, 0.819477307137174, 1.07156662032258, 1.82774218733134,      1.82774218733134, 1.83831888483507, 0.825709875044437, 1.91030467455468,      2.01990466694452, 1.25793892145158, 1.69038013517483), PROX_HAWKER = c(0.548143788898404,      0.490406092071559, 0.464971900021808, 0.656056303664779,      0.322806547864559, 0.736691454978467, 0.788681622626877,      0.696312293428963, 0.811063273063077, 0.816419857336687,      0.922900854400271, 0.622851592932912, 0.218122417644225,      0.218122417644225, 0.267411626133086, 0.841716009165303,      0.292675997882175, 0.365194571711665, 1.33204585660377, 0.32947027962251     ), PROX_MRT = c(0.950317003394984, 0.888080533877704, 0.870907467758581,      1.05945750202888, 0.722989849955079, 1.05284557964442, 1.18994045686449,      1.06426899086337, 1.15964764660018, 0.729175757939742, 0.830609903675807,      0.449846795062068, 0.24629140143503, 0.24629140143503, 0.186589372260449,      0.463093751675267, 0.25859759791353, 0.394110762668951, 1.54554013822754,      0.131298797620671), PROX_PARK = c(0.690805332809177, 0.741201414908801,      0.791043930625847, 0.707700114575514, 0.845903786092674,      0.555889077383573, 0.662341635279621, 0.939968281858902,      0.99599902820202, 0.830497330619545, 0.751240825934154, 0.650211227804106,      0.449638685926872, 0.449638685926872, 0.431621232177097,      0.609424449579261, 0.366705585759005, 0.305293053539538,      0.23250554954982, 0.597192139646456), PROX_GOOD_PRISCH = c(7.58243576478886,      7.52724739525134, 7.62743554697163, 7.80883552790736, 7.67457853159282,      7.33264137396139, 7.9054148179446, 8.03533881462458, 8.17598486214089,      6.97273607492461, 6.95474206477502, 6.90999703096039, 7.54917724573578,      7.54917724573578, 7.51998659904145, 6.77374769998522, 7.60907430161507,      7.75189187586876, 7.41905192895776, 7.31481473864251), PROX_MALL = c(0.291730094824992,      0.362005799982455, 0.369641594977131, 0.25445476080495, 0.270650184250749,      0.387548928263219, 0.238299753757691, 0.50227152913363, 0.605524804958104,      0.671391539314818, 0.757845794253982, 0.456006423255308,      0.249434383428027, 0.249434383428027, 0.304347432784639,      0.404491618549369, 0.31638525459609, 0.368677515727611, 0.658794213245526,      0.38257003715367), PROX_CHAS = c(0.0811018368302058, 0.11010335009361,      0.000458346083760352, 0.163921847201363, 0.186439783883369,      0.324283073315245, 0.177138384703249, 0.387978032092424,      0.526621492045347, 0.0497500971788425, 0.175468897673469,      0.401255348981324, 0.246283235408848, 0.246283235408848,      0.186582621643492, 0.260153188296123, 0.258594927218762,      0.279695275413424, 0.166262674114357, 0.131281394661179),          PROX_SUPERMARKET = c(0.289827711639516, 0.36017462873485,          0.367596841627256, 0.25256410508494, 0.279112228601587,          0.337417678694655, 0.237159648524433, 0.500728516827066,          0.596975645906049, 0.442456788826315, 0.336744227428862,          0.338457664260807, 0.233030240431279, 0.233030240431279,          0.289364184128333, 0.355873580059747, 0.297968471640837,          0.3481604922123, 0.385510043100507, 0.37748716441855),          WITHIN_350M_KINDERGARTEN = c(4L, 7L, 6L, 4L, 4L, 2L,          3L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 4L, 4L, 3L, 4L, 3L,          3L, 3L, 3L, 2L, 3L, 5L, 7L, 7L, 7L, 4L, 7L, 7L, 3L, 5L         ), WITHIN_350M_BUS = c(10L, 11L, 9L, 12L, 11L, 9L, 10L,          8L, 4L, 12L, 6L, 8L, 15L, 15L, 16L, 12L, 17L, 14L, 9L,          14L), WITHIN_1KM_PRISCH = c(4L, 5L, 5L, 4L, 6L, 5L, 4L,          5L, 4L, 4L, 4L, 4L, 6L, 6L, 4L, 6L, 5L, 5L, 4L, 3L),          DNeighbour = c(0, 80.9612388940025, 109.444743000547,          222.463069605046, 292.2859089799, 314.925337631736, 340.990003538766,          465.406768191331, 597.712507803182, 627.268964938482,          685.57058481225, 749.073591084237, 756.945646932674,          763.624227807995, 812.936779007634, 821.655985090679,          825.53793980821, 831.102106728856, 856.231783975604,          862.001603695685)), row.names = c("839", "857", "414",      "748", "693", "870", "169", "817", "906", "300", "720", "357",      "643", "571", "31", "535", "835", "257", "228", "910"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.982434991826564, 0.968019224326725, 0.871228267130002,      0.783271035314127, 0.750866038937762, 0.711520939230639,      0.501962089586652, 0.26956394797612, 0.221341006542716, 0.135026627904022,      0.0599518649125043, 0.0523931447556682, 0.0463232857002747,      0.0122322367334663, 0.00835733876455853, 0.006857980259164,      0.00495721375824268, 0.000178014959430512, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1275199956 
R squared (OOB):                  0.1118394 

$Forests[[840]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 425000, 418000,      425000, 430000, 382000, 459000, 418000, 318000, 445000, 462000,      447888, 443000, 442500, 418888, 450000, 345000, 390000, 415000,      358000), floor_area_sqm = c(93, 93, 92, 93, 92, 93, 93, 92,      90, 93, 93, 93, 93, 92, 92, 92, 90, 92, 92, 104), storey_order = c(2L,      4L, 3L, 5L, 5L, 1L, 4L, 5L, 3L, 4L, 5L, 5L, 5L, 6L, 3L, 4L,      5L, 1L, 2L, 4L), remaining_lease_mths = c(1138, 1134, 1134,      1134, 1137, 1111, 1138, 1142, 968, 1133, 1134, 1137, 1134,      1138, 1136, 1135, 937, 1132, 1132, 815), PROX_CBD = c(14.318757359464,      14.318757359464, 14.318757359464, 14.3486805845321, 14.2919055230493,      14.29200158436, 14.1715462602585, 14.4012043650842, 14.1338242827509,      14.1149653809405, 14.1475961545785, 14.1475961545785, 14.1475961545785,      14.4158973706441, 14.4158973706441, 14.5310939664424, 14.2787185061121,      14.6424103631698, 14.6122009832922, 14.0960645211931), PROX_ELDERLYCARE = c(2.13920478430288,      2.13920478430288, 2.13920478430288, 2.08279710659019, 2.08663557441472,      2.00367987562091, 2.09595649451453, 1.94149260139439, 2.28550514148655,      2.12564955085825, 2.03155968851809, 2.03155968851809, 2.03155968851809,      1.86115765343828, 1.86115765343828, 1.79186944623163, 1.77826193055387,      1.72557175775889, 1.68824062303628, 1.70531999087377), PROX_HAWKER = c(1.17625726432186,      1.17625726432186, 1.17625726432186, 1.11865892678262, 1.13160866269818,      1.05572120633707, 1.11030496241672, 0.977925494011815, 1.19906286300234,      1.06810792734919, 1.0452124348096, 1.0452124348096, 1.0452124348096,      0.900970586039013, 0.900970586039013, 0.816792492128141,      0.865181709866835, 0.740384095011384, 0.707122679385598,      0.845358517598031), PROX_MRT = c(0.277525006355607, 0.277525006355607,      0.277525006355607, 0.228370105834555, 0.215635082050947,      0.129588785375857, 0.236487582928319, 0.117672709296806,      0.414064606154384, 0.282489779359316, 0.206896355650083,      0.206896355650083, 0.206896355650083, 0.0830542408041225,      0.0830542408041225, 0.197201307651512, 0.14195902454703,      0.312698200175978, 0.295449456212788, 0.217341234217998),          PROX_PARK = c(1.77227256709076, 1.77227256709076, 1.77227256709076,          1.76668334590621, 1.71136953372848, 1.659682039687, 1.59201213147604,          1.73691437359179, 1.68789157401301, 1.55223981690243,          1.52292224478236, 1.52292224478236, 1.52292224478236,          1.70853765465547, 1.70853765465547, 1.79335149216305,          1.51686048726609, 1.78460824921244, 1.76906915549279,          1.27300714898888), PROX_GOOD_PRISCH = c(5.68167095374807,          5.68167095374807, 5.68167095374807, 5.67955556528646,          5.62322031775431, 5.57470277830303, 5.50129862889456,          5.65284274036128, 5.57754198399205, 5.45814117537329,          5.43570837857945, 5.43570837857945, 5.43570837857945,          5.62289607338158, 5.62289607338158, 5.7030752613132,          5.42826997650874, 5.77937603269072, 5.7298925008129,          5.17863906457975), PROX_MALL = c(0.582562895872492, 0.582562895872492,          0.582562895872492, 0.571430807201143, 0.517951444315281,          0.462705775504015, 0.405991175981987, 0.544441659044551,          0.547412994688805, 0.377565489031552, 0.329425359540921,          0.329425359540921, 0.329425359540921, 0.475045953779526,          0.475045953779526, 0.466036051693473, 0.338911837083335,          0.482269498416602, 0.426875162675013, 0.243284841315127         ), PROX_CHAS = c(0.0707174365033835, 0.0707174365033835,          0.0707174365033835, 0.0590253437170886, 3.54155757628082e-08,          0.0888572682655253, 0.12657377242065, 0.0706873614354785,          0.219091723429967, 0.179884741524278, 0.188783823394846,          0.188783823394846, 0.188783823394846, 0.0420419616737589,          0.0420419616737589, 0.162368565956873, 0.18872293939054,          0.280031834846542, 0.270793953405505, 0.132339190026647         ), PROX_SUPERMARKET = c(0.25307995359875, 0.25307995359875,          0.25307995359875, 0.199153546859355, 0.199383936085002,          0.124391003677116, 0.248308073473709, 0.0706874850207218,          0.41091265647621, 0.299769914037237, 0.235757849482592,          0.235757849482592, 0.235757849482592, 0.0420421510628514,          0.0420421510628514, 0.162368758687164, 0.188722783027928,          0.280032026158491, 0.270794118098451, 0.226949559622758         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 0L, 2L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 5L, 5L,          5L, 5L, 3L, 6L, 6L, 6L, 6L, 5L, 5L, 4L, 6L, 3L, 5L, 7L         ), WITHIN_350M_BUS = c(3L, 3L, 3L, 4L, 4L, 5L, 5L, 6L,          3L, 5L, 6L, 6L, 6L, 7L, 7L, 8L, 8L, 6L, 6L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 4L, 4L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,          3L, 4L, 3L, 4L, 5L), DNeighbour = c(0, 4.2134330663749,          8.867118561837, 58.8204143491663, 69.909948388234, 159.745209626804,          179.672466761101, 198.4038758935, 209.688440811487, 226.935241724839,          255.745220300533, 258.122788920744, 258.350902479166,          275.089129271653, 275.201569058759, 365.783844679924,          415.697483294788, 469.400853587593, 485.257609489107,          623.482446132315)), row.names = c("840", "205", "58",      "217", "267", "989", "277", "633", "120", "519", "207", "623",      "966", "33", "100", "609", "329", "323", "489", "880"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99990866361561, 0.999595514793778, 0.982278491351672, 0.975012618535704,      0.873017691784206, 0.8408060827538, 0.807727753763124, 0.786574095146668,      0.752588246684028, 0.691800639919415, 0.686582264266262,      0.686080097814584, 0.648556865755663, 0.648300520767435,      0.430084332809619, 0.308540946829148, 0.187651557673109,      0.155429955795648, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1090147462 
R squared (OOB):                  0.2861074 

$Forests[[841]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(660000, 672000, 440000,      710000, 675000, 4e+05, 662000, 715000, 550000, 340000, 680000,      358000, 363000, 345000, 430000, 370000, 355000, 650000, 380000,      380000), floor_area_sqm = c(85, 85, 91, 93, 95, 104, 95,      95, 102, 84, 95, 84, 84, 84, 104, 84, 84, 104, 93, 92), storey_order = c(3L,      5L, 5L, 6L, 2L, 2L, 3L, 6L, 3L, 1L, 4L, 3L, 4L, 1L, 2L, 3L,      3L, 3L, 3L, 1L), remaining_lease_mths = c(1032, 1042, 669,      1084, 1093, 783, 1093, 1099, 761, 780, 1084, 770, 780, 789,      781, 777, 782, 815, 790, 767), PROX_CBD = c(6.62545736407856,      6.58265946872266, 6.95185067667089, 6.17931132662417, 6.15852201326599,      6.8579883001408, 6.11286474740545, 6.06656257116635, 6.04257091454572,      6.73119135364588, 6.04001281876484, 6.82164733234375, 6.82164733234375,      7.23308787648785, 7.27303659463988, 7.32999369210923, 7.37752466520609,      7.71625132507906, 7.92065359752155, 8.01258306529517), PROX_ELDERLYCARE = c(0.121758896932011,      0.129826558983194, 0.368543492371998, 0.411122241220865,      0.428116600598184, 0.650979480304367, 0.471592353212743,      0.516985202466339, 0.548656319889636, 0.709869492714774,      0.545921172841312, 0.729511559050305, 0.729511559050305,      0.804640181087392, 0.949520652768775, 1.04617467786566, 1.11141904944431,      1.13999552495818, 1.44631042678071, 1.38923408288603), PROX_HAWKER = c(0.33268573973532,      0.37361464573735, 0.163396016993116, 0.114709112077857, 0.104458461300263,      0.732876252375814, 0.0855319563513606, 0.0900485470251793,      0.19523132016882, 0.84617550022745, 0.0606577495598573, 0.834207881424508,      0.834207881424508, 0.727393295990439, 0.905159668549179,      1.00458194418859, 1.06790139631185, 0.888477780938884, 0.646393168274836,      0.532883444787396), PROX_MRT = c(0.255638745600017, 0.288098631383321,      0.258776848421036, 0.54480998513683, 0.567634817298681, 0.479854345281657,      0.576684647572531, 0.530436532640755, 0.448203274012385,      0.447149108468339, 0.53617676606472, 0.401668294921849, 0.401668294921849,      0.626719191507479, 0.477339162120678, 0.446590670593176,      0.450606800129455, 0.227897729387739, 0.434970780163821,      0.57194553577364), PROX_PARK = c(0.741691321664553, 0.734858817801552,      0.871860056746433, 0.461766774013401, 0.487498062645995,      1.26891760289394, 0.517760851715104, 0.548254609843109, 0.651264615899835,      1.30601230217613, 0.524571131123829, 1.33915084667526, 1.33915084667526,      1.17683143601381, 1.28136359713013, 1.30043300411079, 1.30417314517193,      0.374132090410645, 0.790688256163915, 0.580004121625521),          PROX_GOOD_PRISCH = c(2.08436883673306, 2.10026546945211,          1.99104033276262, 1.95037752635058, 1.97696478280336,          2.57894825178105, 2.00772186702724, 2.03651743937875,          2.14268529299874, 2.67147237000904, 2.00925132829891,          2.67483404440455, 2.67483404440455, 2.53413597667736,          2.72285479219865, 2.81856751915823, 2.87682745937193,          1.93537396204111, 2.86596411907387, 2.75227504535898),          PROX_MALL = c(0.757747380414752, 0.712222885156031, 1.10491400246256,          0.476611693189829, 0.446404896609829, 0.985446043286547,          0.403935094648282, 0.365617038961166, 0.264532440460292,          0.894914409230097, 0.387042201482337, 0.977306285381771,          0.977306285381771, 1.33824767405872, 1.40144317349524,          1.4733570331857, 1.52964479685301, 1.9342939090943, 2.02812113432733,          2.11322307221905), PROX_CHAS = c(0.152169077912936, 0.19769969897302,          0.197049444171332, 0.10259225576309, 0.0766942583569258,          0.418063314797021, 0.0679258481743644, 0.0929349198733403,          0.12619956254809, 0.468632365618207, 0.134421273847083,          0.389404577789016, 0.389404577789016, 0.335243362149438,          0.150676124399865, 0.100781853121145, 0.123680988169118,          0.147762521806201, 0.0418426354504526, 0.1333322783253         ), PROX_SUPERMARKET = c(0.21094349839638, 0.255985378039003,          0.145490551360364, 0.134806953278168, 0.11965836137487,          0.471666412940503, 0.0895469396191502, 0.0785030623714358,          0.178930757423705, 0.541263540151477, 0.0393286469640316,          0.457775852816324, 0.457775852816324, 0.400791637001426,          0.216512452964216, 0.154588063793208, 0.15284622075069,          0.185503456748824, 0.6226371739075, 0.475213328012689         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 1L, 1L, 1L, 0L,          1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 2L, 3L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(0L, 0L, 3L, 3L, 3L, 1L,          3L, 3L, 4L, 2L, 4L, 1L, 1L, 2L, 4L, 4L, 5L, 3L, 3L, 2L         ), WITHIN_350M_BUS = c(2L, 2L, 4L, 6L, 6L, 3L, 6L, 8L,          7L, 4L, 8L, 4L, 4L, 4L, 7L, 8L, 9L, 6L, 6L, 6L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 3L, 3L,          3L, 3L, 3L, 3L, 2L), DNeighbour = c(0, 39.6687185880202,          350.818454767843, 478.731205389505, 488.253114555337,          530.085398874238, 533.537900737369, 564.438110862062,          573.693954778627, 591.361325690487, 602.870128987117,          612.162875671419, 612.250617576648, 706.091042929281,          838.969254175432, 940.820087156975, 1006.90370263989,          1184.21815346842, 1372.41552061683, 1415.3914218642)), row.names = c("841",      "388", "492", "756", "23", "168", "536", "297", "453", "529",      "930", "46", "322", "171", "611", "187", "948", "809", "1",      "200"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998429627724495,      0.880905352800419, 0.784285338998313, 0.776165844922606,      0.739150240522854, 0.736001754413447, 0.707230244069381,      0.698413544057436, 0.68134589445064, 0.670066889623225, 0.660871493624269,      0.660784305721822, 0.564199945482429, 0.420747856614807,      0.31154824821908, 0.243952842166154, 0.0899881338529876,      0.00357658985133699, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3992802276 
R squared (OOB):                  0.8246544 

$Forests[[842]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(439000, 670000, 435000,      588000, 410000, 516000, 450000, 440000, 408000, 648000, 5e+05,      565000, 548000, 430000, 448000, 430000, 420000, 380000, 640000,      638000), floor_area_sqm = c(97, 94, 98, 95, 97, 98, 92, 92,      91, 116, 105, 103, 95, 102, 105, 93, 91, 91, 91, 102), storey_order = c(3L,      6L, 1L, 3L, 4L, 3L, 1L, 3L, 3L, 4L, 2L, 4L, 2L, 3L, 1L, 3L,      1L, 3L, 3L, 9L), remaining_lease_mths = c(669, 1104, 692,      1025, 665, 698, 679, 677, 674, 871, 857, 852, 981, 869, 866,      728, 742, 691, 992, 869), PROX_CBD = c(8.73211086874077,      8.58683984966127, 8.85689554561162, 8.51090417959469, 8.66747718420982,      8.70928269501252, 8.7589377611275, 8.7589377611275, 8.96374942103709,      8.27332873959955, 8.19182633034048, 8.19182633034048, 8.37940280964872,      8.77938926255451, 8.05276498978228, 8.20083785223568, 8.31995738049774,      9.09613481662016, 9.30017281297198, 7.86314261154951), PROX_ELDERLYCARE = c(0.292319821872094,      0.203840329735754, 0.272187629818594, 0.120425912751251,      0.0441159965049124, 0.119444653145476, 0.169235371196244,      0.169235371196244, 0.267188539522683, 0.354571010374291,      0.444818640633349, 0.444818640633349, 0.335901694998922,      0.374310234303432, 0.599632276485302, 0.41240614163537, 0.259768432786295,      0.297153722290783, 0.677643973897152, 0.731462959428347),          PROX_HAWKER = c(0.436547444862961, 0.433030813326955,          0.446318851105742, 0.166697492306482, 0.357845486047337,          0.281172749103646, 0.330091511745513, 0.330091511745513,          0.393731145214296, 0.610975272844239, 0.553760551741158,          0.553760551741158, 0.203869560106314, 0.0530841043788875,          0.560005371648267, 0.35604829505958, 0.387410687724852,          0.276770006011078, 0.445284816601654, 0.573870222021737         ), PROX_MRT = c(0.600073719023998, 0.751078096441513,          0.372678744867538, 0.608243230971526, 0.874328108605637,          0.379410256905797, 0.338391484905848, 0.338391484905848,          0.71987240697712, 1.0936063211659, 1.08457427678223,          1.08457427678223, 0.62312262100292, 1.18818107396501,          1.12051759514643, 0.805467939952349, 0.705543842504761,          1.2652859093471, 0.258716275079725, 0.85984195598231),          PROX_PARK = c(0.617507126900098, 0.52118662053352, 0.479885299937475,          0.368529270986479, 0.691303172853456, 0.513364518506117,          0.469340752260783, 0.469340752260783, 0.60552725382935,          0.477465658778908, 0.374102285306053, 0.374102285306053,          0.394842599629624, 0.700959888788064, 0.30128672956265,          0.393072899865764, 0.517920409018535, 0.429900368262469,          0.166211588513849, 0.281207712521794), PROX_GOOD_PRISCH = c(1.31940815963163,          1.16640042723588, 1.47413984574199, 1.13331232297991,          1.23754792076915, 1.35677240305411, 1.40615721612308,          1.40615721612308, 1.13785719900195, 0.856939381531897,          0.769163347741007, 0.769163347741007, 1.14854892992093,          0.963274696928036, 0.631981624625733, 1.04754826657838,          1.20021801549651, 0.657187468393487, 1.82000438656186,          0.562813849840511), PROX_MALL = c(0.469553394647833,          0.632538285087724, 0.241772845363545, 0.540250505232014,          0.740457696387364, 0.313890580083005, 0.264395031718586,          0.264395031718586, 0.480317195978648, 0.991200103712322,          0.997182626507123, 0.997182626507123, 0.651389947232486,          0.946404029132472, 1.07178760783233, 0.844084234929545,          0.768764019555169, 0.916512124719577, 0.302826744416793,          0.943364056194349), PROX_CHAS = c(0.0664211666443358,          0.237191200694799, 0.157458356405151, 0.0869956868442428,          0.34300149800099, 0.112175615725657, 0.0806835690144568,          0.0806835690144568, 0.143131544605207, 0.413431749899638,          0.311461966699573, 0.311461966699573, 0.11938167830482,          0.064920565519497, 0.167974733321899, 0.0460460495231756,          0.1066489590073, 0.209184408253321, 0.258750733988333,          0.201852081003395), PROX_SUPERMARKET = c(0.350370254212894,          0.35437102597818, 0.224853982916395, 0.0869967242830128,          0.158725757407685, 0.221335227738319, 0.24726445439454,          0.24726445439454, 0.181164390242962, 0.502190497784501,          0.485938543293979, 0.485938543293979, 0.282093113359979,          0.239175324970861, 0.372458117254617, 0.436961702644775,          0.284909088626731, 0.235755012868274, 0.378001630838772,          0.115543350477338), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 2L, 0L, 2L, 2L, 2L, 1L, 0L, 0L, 0L, 1L, 1L, 3L,          1L, 1L, 1L, 0L, 4L), WITHIN_350M_CHILDCARE = c(6L, 5L,          7L, 6L, 2L, 7L, 8L, 8L, 4L, 4L, 2L, 2L, 4L, 2L, 3L, 2L,          3L, 3L, 3L, 3L), WITHIN_350M_BUS = c(7L, 4L, 7L, 5L,          5L, 6L, 6L, 6L, 6L, 8L, 7L, 7L, 6L, 4L, 5L, 7L, 7L, 7L,          9L, 2L), WITHIN_1KM_PRISCH = c(3L, 2L, 3L, 3L, 2L, 4L,          3L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 2L, 2L         ), DNeighbour = c(0, 165.467673941447, 230.461505473598,          275.167472193174, 280.952682409999, 293.472946578011,          300.253888434964, 301.054351077748, 310.412654817873,          537.09840426295, 569.992934884913, 576.535877530755,          624.481450543497, 634.444332967473, 684.843936967098,          796.630297776323, 806.856811686801, 824.196588769361,          845.248890633771, 890.809517537221)), row.names = c("842",      "149", "397", "94", "331", "446", "194", "386", "692", "795",      "674", "128", "998", "606", "635", "79", "716", "715", "973",      "931"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.932184492501537,      0.870617822473327, 0.818270907199325, 0.810952403570815,      0.794711344407701, 0.785691394651808, 0.784616475248476,      0.771893525956802, 0.405096436174077, 0.348784520028521,      0.337707903337251, 0.258634555513461, 0.24280798120178, 0.167251999653373,      0.0401076638828885, 0.032257794660257, 0.0207256903315664,      0.00993501789636221, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6715606362 
R squared (OOB):                  0.2400018 

$Forests[[843]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 4e+05, 435000,      550000, 390000, 548000, 423800, 415000, 390000, 478000, 360000,      429000, 447000, 422800, 438000, 430000, 376888, 390000, 430000,      410000), floor_area_sqm = c(105, 91, 103, 93, 102, 93, 104,      104, 103, 104, 84, 104, 107, 104, 104, 104, 104, 104, 103,      104), storey_order = c(2L, 1L, 4L, 3L, 2L, 4L, 2L, 2L, 1L,      5L, 2L, 2L, 3L, 4L, 2L, 2L, 3L, 1L, 2L, 2L), remaining_lease_mths = c(757,      783, 819, 1137, 763, 1135, 756, 760, 773, 770, 762, 822,      782, 813, 812, 819, 810, 809, 764, 761), PROX_CBD = c(11.4573592114175,      11.4963900230166, 11.381621166991, 11.2116042179965, 11.6387779682198,      11.1809634086998, 11.7174653186763, 11.6914583773846, 11.9179556382635,      11.927322045494, 11.4815172953657, 11.1191912667925, 11.7840832214562,      11.1672746170477, 11.7215458353159, 11.547248638023, 11.622690560426,      11.7882471009294, 12.3243460542753, 12.2901811097239), PROX_ELDERLYCARE = c(0.52883250894194,      0.672630859926948, 0.382123855460196, 0.369355324070756,      0.792216801753581, 0.333450295290741, 0.74375074589335, 0.736997311630605,      0.757050983431463, 0.77464979732367, 0.182032582488253, 0.213121327483379,      0.481333190444255, 0.14075304944647, 0.240093333498969, 0.246353759583753,      0.175524774720266, 0.114277277444971, 0.362207242709056,      0.180150537957213), PROX_HAWKER = c(0.848364442784946, 0.804785607263954,      0.863892291353285, 1.02311573056961, 0.61454926069889, 1.04207495818587,      0.5637831570093, 0.558671781535233, 0.581821713307667, 0.445987433628815,      0.728271246274353, 1.08329799955244, 0.436117874461739, 1.04840790050398,      0.609281739536534, 0.837769476188058, 0.783966268147895,      0.647051853283446, 0.290415492755609, 0.155357947035291),          PROX_MRT = c(0.275269590424193, 0.132306565433056, 0.424871345706255,          0.524888394814585, 0.0844107562606101, 0.580267989687754,          0.162940637784707, 0.140110279979828, 0.401552834915971,          0.493642118682657, 0.756359380624344, 0.776456939054752,          0.81394482428473, 0.893429463565323, 0.989064774064853,          1.16228231940478, 1.15515804744233, 1.00317447086964,          0.559245805822074, 0.729338839878115), PROX_PARK = c(1.3775538710324,          1.41209410927924, 1.31830174708739, 1.15338615463339,          1.51709061898346, 1.13378306757762, 1.5229705853841,          1.50772581466401, 1.26489639581012, 1.17760662255222,          1.50398184725757, 1.13833451608328, 1.20101103678102,          1.25063890429238, 1.28416187507733, 1.4881280763212,          1.41684131410086, 1.24877122811849, 1.218970746516, 1.26762597166046         ), PROX_GOOD_PRISCH = c(0.277148461253506, 0.364349890680966,          0.288839241027683, 0.456074275886943, 0.453346371612442,          0.485317217067727, 0.440184840714675, 0.476923220580037,          0.374797987706521, 0.289303568244907, 0.365254403810308,          0.586469336292635, 0.357669915539773, 0.623353133039123,          0.585140695782779, 0.735233663606362, 0.733057242670121,          0.713901761199557, 0.889618707353532, 0.992456269301591         ), PROX_MALL = c(0.815329638117364, 0.844787863205902,          0.849953313581112, 1.01522535242687, 0.815834004295584,          1.03968747299659, 0.750703947848918, 0.797799046209296,          0.498039402667872, 0.376851773239706, 0.763531318053358,          1.10160019948421, 0.489619370966043, 1.08293003315278,          0.690287469384684, 0.918014501744059, 0.868993594299523,          0.741052769880115, 0.471904090765479, 0.649064194608972         ), PROX_CHAS = c(0.179820414455961, 0.0697008731150885,          0.115324197479935, 0.206252010873132, 0.0804697697946077,          0.216965800691496, 4.64133788220832e-08, 0.0474151678735614,          0.258806234431974, 0.339292519878925, 0.0516610437101642,          0.143881852296294, 0.0667093090499658, 0.151540147087551,          0.164718468919614, 0.157099147473317, 0.151742844958785,          0.0554870656895364, 0.193597629002809, 0.128297543182753         ), PROX_SUPERMARKET = c(0.301981775400679, 0.441950593919319,          0.186698572696543, 0.222574928361305, 0.596048194106483,          0.212835414763751, 0.609798994765399, 0.635527990773791,          0.542179538393358, 0.405378875546255, 0.19171128272723,          0.246182427713253, 0.379080894647373, 0.299482732316256,          0.169255457402684, 0.157098334004615, 0.151741730066283,          0.0453848138423891, 0.331501685351864, 0.159863951308791         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 4L         ), WITHIN_350M_CHILDCARE = c(4L, 2L, 4L, 4L, 3L, 3L,          3L, 3L, 2L, 2L, 5L, 5L, 3L, 6L, 6L, 7L, 7L, 8L, 4L, 5L         ), WITHIN_350M_BUS = c(7L, 8L, 10L, 6L, 6L, 7L, 5L, 6L,          7L, 9L, 14L, 9L, 7L, 14L, 10L, 11L, 8L, 9L, 4L, 3L),          WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L, 3L, 2L, 3L, 3L,          3L, 4L, 3L, 2L, 4L, 2L, 3L, 2L, 2L, 3L, 6L, 5L), DNeighbour = c(0,          147.548439013473, 151.381132629515, 286.085975010944,          320.81669952452, 336.034364608237, 357.497251088107,          374.669550925709, 476.335550955094, 477.02125471797,          495.429646742794, 509.431656545416, 612.039347850316,          617.932289603708, 809.02631749061, 908.478581412506,          925.940204324403, 942.207661268691, 961.252275183916,          1014.76494292772)), row.names = c("843", "151", "744",      "347", "522", "178", "941", "274", "63", "666", "213", "845",      "340", "528", "625", "598", "750", "508", "861", "518"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.958163721856767, 0.955986788961031, 0.847355599266157,      0.810089909590765, 0.792710605961426, 0.767179423665329,      0.74593972020524, 0.607868341920893, 0.606878834616677, 0.580095744101145,      0.559468923744384, 0.404787656972799, 0.39588066751924, 0.13277616093847,      0.0394059513662377, 0.0280236803562084, 0.0190138331348725,      0.0105446661058558, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1569005300 
R squared (OOB):                  0.3453012 

$Forests[[844]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 390000, 420000,      370000, 446000, 420000, 365000, 415000, 358888, 380000, 360000,      304000, 316000, 388000, 370000, 315000, 308000, 440000, 365000,      365000), floor_area_sqm = c(104, 104, 99, 104, 107, 90, 107,      100, 91, 102, 103, 104, 104, 103, 98, 84, 84, 103, 103, 95     ), storey_order = c(1L, 1L, 3L, 2L, 3L, 2L, 1L, 1L, 3L, 2L,      1L, 2L, 1L, 3L, 2L, 3L, 1L, 2L, 4L, 1L), remaining_lease_mths = c(772,      763, 929, 763, 783, 925, 766, 944, 763, 938, 777, 776, 777,      935, 767, 788, 795, 918, 768, 735), PROX_CBD = c(13.1145091682395,      13.1145091682395, 13.2222340992065, 13.075732494377, 13.1163383572019,      12.960867808991, 13.578535689825, 13.1525533734461, 13.6826822978472,      12.4172252614445, 13.7231688188033, 13.8730731524118, 13.8730731524118,      12.2384019056968, 12.6407298816561, 13.0463978034086, 13.3304860768802,      12.1964782349865, 12.6612960596841, 13.3652677077184), PROX_ELDERLYCARE = c(0.233566729538939,      0.233566729538939, 0.385934705647939, 0.206309775801723,      0.258125844069092, 0.579007844644764, 0.535215785060316,      0.640770029240432, 0.000158780971194199, 0.466477120293287,      0.681177733621966, 0.192118066579221, 0.192118066579221,      0.481492260541915, 0.198383641986835, 0.612412426395362,      0.85382998667073, 0.395535007521183, 0.349885373003571, 0.876024529291782     ), PROX_HAWKER = c(1.24018164124527, 1.24018164124527, 1.08380419022874,      1.2806114078583, 1.23349193679857, 1.16344345150942, 0.775756145922257,      0.959649545299011, 0.699744847940348, 1.89270186421095, 0.601426993813282,      0.635045114374877, 0.635045114374877, 2.08679181031876, 1.70233840124208,      1.36023111372333, 1.09459947163448, 2.11269605893479, 1.71720286170745,      0.775887609068758), PROX_MRT = c(0.402767024758649, 0.402767024758649,      0.503688459146237, 0.218393806785847, 0.166998983475289,      0.899387073359532, 0.357978123578611, 0.944408516927639,      0.751023886560838, 0.847625669994717, 0.498221170198522,      0.865482366580506, 0.865482366580506, 1.00400763232319, 0.712674611555213,      0.622051877914657, 0.525688124362732, 1.03396693725809, 0.798149237832703,      0.585785046275015), PROX_PARK = c(1.4917670023494, 1.4917670023494,      1.61082819122054, 1.31516124688894, 1.28385310080255, 1.44660566239193,      1.33984402369384, 1.65277848527316, 1.77145949687945, 0.790049777369869,      1.26781451063295, 1.73324375775577, 1.73324375775577, 0.617440020241687,      0.87239282209614, 0.572775970192077, 0.620743454357064, 0.631382355736929,      0.722272593032778, 1.30724345285799), PROX_GOOD_PRISCH = c(3.15473759747012,      3.15473759747012, 3.2388029474634, 3.06740437701091, 3.10133739012884,      2.82458087567675, 3.55013641033528, 2.95137840528657, 3.58938982364218,      2.44639044951476, 3.673854441535, 3.76914808697313, 3.76914808697313,      2.2532718981807, 2.56532775368338, 2.96540091825049, 3.24954726475941,      2.16851203086393, 2.58047246486208, 2.95461231779958), PROX_MALL = c(0.504156272689578,      0.504156272689578, 0.587950861513872, 0.332903613799786,      0.281310431650798, 0.695129776671669, 0.305514521023982,      0.703422933264244, 0.770100764029299, 0.95273084922996, 0.406890039239853,      0.861712986146148, 0.861712986146148, 1.10261213560447, 0.751522975449472,      0.587476612974174, 0.513372166694422, 1.12036230953297, 0.817237002784756,      0.473263954532778), PROX_CHAS = c(0.11048408202451, 0.11048408202451,      0.151225190585885, 0.122328851042638, 0.155371621529032,      0.341366062526918, 0.282171570268124, 0.1365287941905, 0.110149755252424,      0.132703338642494, 0.176857487498571, 0.0967538959757692,      0.0967538959757692, 0.187666753228527, 0.217156748290024,      0.40513819943783, 0.472814153962233, 0.194956542036987, 0.248450831201433,      0.179342279988699), PROX_SUPERMARKET = c(0.362446168440829,      0.362446168440829, 0.459946280432931, 0.193246634773484,      0.141466460051892, 0.668273194253219, 0.281417393052806,      0.688592108834651, 0.11210687568128, 0.453312253927337, 0.270532795629183,      0.094684564379848, 0.094684564379848, 0.388917381074845,      0.217156859083098, 0.599997973636583, 0.510727353781082,      0.242376621204914, 0.326739034058403, 0.487840963146543),          WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          1L, 0L, 2L, 0L, 0L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 5L, 4L, 4L, 1L,          4L, 2L, 3L, 3L, 4L, 3L, 3L, 2L, 4L, 2L, 4L, 4L, 3L, 6L         ), WITHIN_350M_BUS = c(7L, 7L, 8L, 10L, 9L, 2L, 10L,          6L, 9L, 9L, 8L, 8L, 8L, 10L, 10L, 7L, 5L, 9L, 12L, 6L         ), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 3L, 3L, 3L, 4L,          2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 4L, 3L, 2L, 3L, 2L),          DNeighbour = c(0, 5.70960303231286, 157.957354525353,          230.637285842106, 260.023285643094, 499.314081175985,          555.654768385236, 557.488134802939, 609.181845094484,          702.41047660101, 761.033144945919, 782.785392430429,          787.429085211625, 902.220584537675, 911.146044139893,          971.132691708434, 993.446522615448, 1003.74350607881,          1035.51642227546, 1038.66710770197)), row.names = c("844",      "164", "350", "929", "105", "831", "856", "496", "1000",      "296", "960", "36", "230", "399", "477", "987", "61", "677",      "552", "238"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999939565837866,      0.954280062697395, 0.903817676667869, 0.878584274148012,      0.591211363121898, 0.509522007414143, 0.506824994306561,      0.430353974221628, 0.294491286097118, 0.214506286448063,      0.186641704594543, 0.180847504402233, 0.0602587675336099,      0.0531183197123466, 0.0158288870314117, 0.00725542433478737,      0.0043713809337273, 3.6694327804703e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1950611706 
R squared (OOB):                  -0.09649514 

$Forests[[845]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(429000, 422800, 548000,      550000, 435000, 360000, 450000, 4e+05, 430000, 447000, 438000,      376888, 390000, 390000, 423800, 478000, 415000, 390000, 420000,      412000), floor_area_sqm = c(104, 104, 93, 93, 103, 84, 105,      91, 104, 107, 104, 104, 104, 102, 104, 104, 104, 103, 104,      103), storey_order = c(2L, 4L, 4L, 3L, 4L, 2L, 2L, 1L, 2L,      3L, 2L, 3L, 1L, 2L, 2L, 5L, 2L, 1L, 2L, 4L), remaining_lease_mths = c(822,      813, 1135, 1137, 819, 762, 757, 783, 819, 782, 812, 810,      809, 763, 756, 770, 760, 773, 922, 918), PROX_CBD = c(11.1191912667925,      11.1672746170477, 11.1809634086998, 11.2116042179965, 11.381621166991,      11.4815172953657, 11.4573592114175, 11.4963900230166, 11.547248638023,      11.7840832214562, 11.7215458353159, 11.622690560426, 11.7882471009294,      11.6387779682198, 11.7174653186763, 11.927322045494, 11.6914583773846,      11.9179556382635, 11.8892341343185, 11.9871965659798), PROX_ELDERLYCARE = c(0.213121327483379,      0.14075304944647, 0.333450295290741, 0.369355324070756, 0.382123855460196,      0.182032582488253, 0.52883250894194, 0.672630859926948, 0.246353759583753,      0.481333190444255, 0.240093333498969, 0.175524774720266,      0.114277277444971, 0.792216801753581, 0.74375074589335, 0.77464979732367,      0.736997311630605, 0.757050983431463, 0.110349805405523,      0.210296865683283), PROX_HAWKER = c(1.08329799955244, 1.04840790050398,      1.04207495818587, 1.02311573056961, 0.863892291353285, 0.728271246274353,      0.848364442784946, 0.804785607263954, 0.837769476188058,      0.436117874461739, 0.609281739536534, 0.783966268147895,      0.647051853283446, 0.61454926069889, 0.5637831570093, 0.445987433628815,      0.558671781535233, 0.581821713307667, 0.684056106771311,      0.625285574708341), PROX_MRT = c(0.776456939054752, 0.893429463565323,      0.580267989687754, 0.524888394814585, 0.424871345706255,      0.756359380624344, 0.275269590424193, 0.132306565433056,      1.16228231940478, 0.81394482428473, 0.989064774064853, 1.15515804744233,      1.00317447086964, 0.0844107562606101, 0.162940637784707,      0.493642118682657, 0.140110279979828, 0.401552834915971,      1.00424261648768, 0.923336133969517), PROX_PARK = c(1.13833451608328,      1.25063890429238, 1.13378306757762, 1.15338615463339, 1.31830174708739,      1.50398184725757, 1.3775538710324, 1.41209410927924, 1.4881280763212,      1.20101103678102, 1.28416187507733, 1.41684131410086, 1.24877122811849,      1.51709061898346, 1.5229705853841, 1.17760662255222, 1.50772581466401,      1.26489639581012, 1.19263079577799, 1.09395352284574), PROX_GOOD_PRISCH = c(0.586469336292635,      0.623353133039123, 0.485317217067727, 0.456074275886943,      0.288839241027683, 0.365254403810308, 0.277148461253506,      0.364349890680966, 0.735233663606362, 0.357669915539773,      0.585140695782779, 0.733057242670121, 0.713901761199557,      0.453346371612442, 0.440184840714675, 0.289303568244907,      0.476923220580037, 0.374797987706521, 0.842915880539328,      0.855677549512306), PROX_MALL = c(1.10160019948421, 1.08293003315278,      1.03968747299659, 1.01522535242687, 0.849953313581112, 0.763531318053358,      0.815329638117364, 0.844787863205902, 0.918014501744059,      0.489619370966043, 0.690287469384684, 0.868993594299523,      0.741052769880115, 0.815834004295584, 0.750703947848918,      0.376851773239706, 0.797799046209296, 0.498039402667872,      0.787722851944232, 0.732793638615111), PROX_CHAS = c(0.143881852296294,      0.151540147087551, 0.216965800691496, 0.206252010873132,      0.115324197479935, 0.0516610437101642, 0.179820414455961,      0.0697008731150885, 0.157099147473317, 0.0667093090499658,      0.164718468919614, 0.151742844958785, 0.0554870656895364,      0.0804697697946077, 4.64133788220832e-08, 0.339292519878925,      0.0474151678735614, 0.258806234431974, 0.124859952031804,      0.171681037809818), PROX_SUPERMARKET = c(0.246182427713253,      0.299482732316256, 0.212835414763751, 0.222574928361305,      0.186698572696543, 0.19171128272723, 0.301981775400679, 0.441950593919319,      0.157098334004615, 0.379080894647373, 0.169255457402684,      0.151741730066283, 0.0453848138423891, 0.596048194106483,      0.609798994765399, 0.405378875546255, 0.635527990773791,      0.542179538393358, 0.114394571204967, 0.172282484091702),          WITHIN_350M_KINDERGARTEN = c(2L, 2L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 2L, 2L, 1L, 3L, 0L, 0L, 0L, 0L, 0L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(5L, 6L, 3L, 4L, 4L, 5L,          4L, 2L, 7L, 3L, 6L, 7L, 8L, 3L, 3L, 2L, 3L, 2L, 8L, 5L         ), WITHIN_350M_BUS = c(9L, 14L, 7L, 6L, 10L, 14L, 7L,          8L, 11L, 7L, 10L, 8L, 9L, 6L, 5L, 9L, 6L, 7L, 9L, 6L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L,          2L, 4L, 3L, 2L, 3L, 3L, 3L, 4L, 3L, 3L, 2L, 2L), DNeighbour = c(0,          169.550429173975, 199.322112228643, 256.03427868905,          361.929989581566, 371.706978239266, 509.431656545416,          646.01940824339, 662.185783246044, 670.097540883919,          703.003295050732, 716.604433631641, 822.931163141914,          828.690857158471, 866.518478678786, 871.057037170707,          883.661469616565, 934.741739185587, 965.981034995401,          1031.81968063894)), row.names = c("845", "528", "178",      "347", "744", "213", "843", "151", "598", "340", "625", "750",      "508", "522", "941", "666", "274", "63", "148", "689"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.946725804973782, 0.92675911691626, 0.880645686865303, 0.769061224876456,      0.757290106474393, 0.571897407696639, 0.369666799076253,      0.345905898353796, 0.334358077405716, 0.2870793828439, 0.267974073968397,      0.132429598113647, 0.12600626702231, 0.0868728260226657,      0.0825612678571723, 0.0710545653139347, 0.0321544375957021,      0.015263385629065, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1496563452 
R squared (OOB):                  0.3759619 

$Forests[[846]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(510000, 535888, 505000,      489000, 515000, 510000, 525000, 530000, 4e+05, 495000, 430000,      460000, 403000, 545000, 535000, 437000, 398000, 415000, 440000,      532000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 97, 95,      92, 93, 92, 92, 92, 93, 93, 93, 93, 93, 93, 96), storey_order = c(3L,      3L, 4L, 2L, 2L, 3L, 3L, 4L, 1L, 5L, 1L, 2L, 1L, 5L, 4L, 2L,      1L, 2L, 2L, 4L), remaining_lease_mths = c(1141, 1148, 1136,      1137, 1138, 1136, 1098, 1106, 1131, 1080, 1128, 1137, 1138,      1127, 1118, 1076, 1077, 1071, 1142, 1111), PROX_CBD = c(14.6372730844548,      14.6520289820308, 14.6520289820308, 14.4453014943547, 14.4453014943547,      14.0250110126613, 14.3488328635023, 14.4087790426081, 13.9748767742628,      14.2035293519974, 13.983033341901, 13.9481332653994, 13.9348601041022,      13.8964286142315, 13.8964286142315, 14.2040057462849, 14.2040057462849,      14.2040057462849, 13.9713915856932, 13.8842234613226), PROX_ELDERLYCARE = c(0.618556221806735,      0.613695690312218, 0.613695690312218, 0.431976777822193,      0.431976777822193, 0.0392522324995346, 0.805205193908325,      0.87860471100088, 0.0869602171534455, 0.685279068417721,      0.0819455196406728, 0.108372417523696, 0.122633260073778,      0.28821019895416, 0.28821019895416, 0.732225931930739, 0.732225931930739,      0.732225931930739, 0.226595382415433, 0.284905700992106),          PROX_HAWKER = c(0.372997368954845, 0.451492926165754,          0.451492926165754, 0.391270554493315, 0.391270554493315,          0.732915378457501, 0.28631929470226, 0.295591155505828,          0.759405218095962, 0.384064154962602, 0.818439961244233,          0.783686601130967, 0.848294615942255, 0.700607063348248,          0.700607063348248, 0.429643877236979, 0.429643877236979,          0.429643877236979, 0.954180271331751, 0.667389882084889         ), PROX_MRT = c(0.272003951573521, 0.194501865291986,          0.194501865291986, 0.309279527401184, 0.309279527401184,          0.179377644983316, 0.320519516131068, 0.258499173090988,          0.16215489673441, 0.289240493397468, 0.0961191462833423,          0.146013494832411, 0.066674836544346, 0.214342865325431,          0.214342865325431, 0.339881548667158, 0.339881548667158,          0.339881548667158, 0.128817306959056, 0.172676244118343         ), PROX_PARK = c(0.308864268906528, 0.365417477470037,          0.365417477470037, 0.463863624631307, 0.463863624631307,          0.898948825756494, 0.585388118838944, 0.572778275466331,          0.93793434477989, 0.69423802629866, 0.973290645087517,          0.964943529987853, 1.01289159319472, 0.945155408432775,          0.945155408432775, 0.735378016798131, 0.735378016798131,          0.735378016798131, 1.07610116952693, 0.946790994443363         ), PROX_GOOD_PRISCH = c(5.11658251455146, 5.11305585404091,          5.11305585404091, 4.92565705183443, 4.92565705183443,          4.48326906164864, 4.99658730632735, 5.07040230577432,          4.4381077472328, 4.84858590291698, 4.42376284483209,          4.41058426346667, 4.3780728039611, 4.42474408393319,          4.42474408393319, 4.87692111553996, 4.87692111553996,          4.87692111553996, 4.37541592083903, 4.46427355245829),          PROX_MALL = c(0.415222463814875, 0.462374515344904, 0.462374515344904,          0.259948531881284, 0.259948531881284, 0.387952579177684,          0.415696526053807, 0.48422641650143, 0.408666125180857,          0.37351280301214, 0.475935346664486, 0.431747484707969,          0.500682206465503, 0.36232957329041, 0.36232957329041,          0.458083927679449, 0.458083927679449, 0.458083927679449,          0.625072347077181, 0.384398044205003), PROX_CHAS = c(0.210026666936211,          0.131494587645238, 0.131494587645238, 0.259948576333881,          0.259948576333881, 0.116095717847762, 0.232702657922268,          0.263312743704905, 0.0955424375353944, 0.170907589664044,          0.0483941894268844, 0.0812590805558053, 3.70448785353559e-08,          0.190952462752685, 0.190952462752685, 0.0920652608940773,          0.0920652608940773, 0.0920652608940773, 0.0752462089475253,          0.0936868185767241), PROX_SUPERMARKET = c(0.207346349364418,          0.133013806318261, 0.133013806318261, 0.257218468152336,          0.257218468152336, 0.21237786594893, 0.232703172737007,          0.263313051629592, 0.205979542456043, 0.170908382081647,          0.123899374628808, 0.194128300134642, 0.112910168339451,          0.190953240917096, 0.190953240917096, 0.0920659899308881,          0.0920659899308881, 0.0920659899308881, 0.0752464841458058,          0.093687407280864), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 4L, 4L, 5L, 6L, 6L, 4L, 5L, 4L, 3L, 5L, 4L, 4L, 5L,          5L, 5L, 5L, 3L), WITHIN_350M_BUS = c(4L, 6L, 6L, 6L,          6L, 9L, 9L, 10L, 6L, 9L, 11L, 7L, 11L, 9L, 9L, 9L, 9L,          9L, 11L, 7L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L,          4L, 6L, 5L, 4L, 5L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 4L,          5L), DNeighbour = c(0, 79.3822147424369, 81.1639555726594,          190.698918041453, 193.64969682805, 628.576737174958,          636.340681277919, 663.32099250283, 676.739650114576,          686.594469319603, 699.84827611482, 709.553153559039,          736.741408172584, 744.339868431406, 748.530517511858,          754.939837645118, 757.370725706802, 758.199125304835,          774.498565801655, 799.316632068428)), row.names = c("846",      "284", "958", "50", "855", "8", "363", "969", "690", "66",      "710", "34", "356", "442", "760", "911", "448", "272", "361",      "670"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.980371292703821,      0.979484884287768, 0.88940140249964, 0.886056416857884, 0.145608314257835,      0.13411372425162, 0.0969277318599364, 0.0801951832290544,      0.0687272364519029, 0.0544745054570814, 0.0449394210309283,      0.0226331330784017, 0.0176434809795013, 0.0151380773567465,      0.0116541827393325, 0.0104449547692703, 0.0100471536532814,      0.0037373859633447, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2512046607 
R squared (OOB):                  0.06744149 

$Forests[[847]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(398000, 420000, 435000,      410000, 4e+05, 373000, 425000, 410000, 418000, 345000, 365000,      312000, 320000, 385000, 3e+05, 455000, 465000, 305000, 450000,      330000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 93,      112, 95, 91, 107, 104, 90, 85, 106, 106, 90, 93, 105), storey_order = c(2L,      5L, 4L, 3L, 1L, 1L, 4L, 4L, 5L, 3L, 4L, 1L, 2L, 3L, 2L, 4L,      2L, 1L, 4L, 1L), remaining_lease_mths = c(1136, 1134, 1129,      1131, 1127, 1128, 1126, 1117, 904, 1003, 1061, 779, 779,      1060, 979, 933, 933, 966, 950, 896), PROX_CBD = c(17.26435404508,      17.2397585888566, 17.2397585888566, 17.2397585888566, 17.1731083577317,      17.1731083577317, 17.3263676504413, 17.3263676504413, 17.2048826778539,      17.7047470513727, 17.5974072281911, 16.6890813896757, 16.6890813896757,      17.6242343596777, 18.0119212314593, 17.1634204962367, 17.1401277939721,      18.0816861587931, 17.4336546583772, 17.9794873864528), PROX_ELDERLYCARE = c(0.542806768712765,      0.500148198332671, 0.500148198332671, 0.500148198332671,      0.456899326246073, 0.456899326246073, 0.561119780492452,      0.561119780492452, 0.400468425457175, 0.933045885854195,      0.819477307137174, 0.296144426041885, 0.296144426041885,      0.892136309268664, 1.25793892145158, 0.565792923614884, 0.586863575497558,      1.34637729166943, 0.825709875044437, 1.20397588034421), PROX_HAWKER = c(0.598096651463893,      0.55990768529081, 0.55990768529081, 0.55990768529081, 0.507233229895407,      0.507233229895407, 0.631285601786086, 0.631285601786086,      0.498365875295267, 1.00938993481846, 0.922900854400271, 0.360513691606501,      0.360513691606501, 0.816419857336687, 1.33204585660377, 0.666841975849823,      0.685044657792881, 1.41733367811242, 0.841716009165303, 0.736691454978467     ), PROX_MRT = c(1.20599959693509, 1.16124452414741, 1.16124452414741,      1.16124452414741, 1.18009183772516, 1.18009183772516, 1.13344401626098,      1.13344401626098, 0.87869292375624, 1.29287496569192, 0.830609903675807,      0.937471590679814, 0.937471590679814, 0.729175757939742,      1.54554013822754, 0.463116738810145, 0.418422993771755, 1.64690112478102,      0.463093751675267, 1.05284557964442), PROX_PARK = c(0.937816003807321,      0.959994438388966, 0.959994438388966, 0.959994438388966,      1.02763138312455, 1.02763138312455, 0.872985599051717, 0.872985599051717,      0.9054780070858, 0.495314460898113, 0.751240825934154, 1.20981147430356,      1.20981147430356, 0.830497330619545, 0.23250554954982, 0.505224516024672,      0.454841043819919, 0.243247600736397, 0.609424449579261,      0.555889077383573), PROX_GOOD_PRISCH = c(6.66937916554136,      6.64012383316355, 6.64012383316355, 6.64012383316355, 6.57664814247058,      6.57664814247058, 6.72174636420399, 6.72174636420399, 6.57740517739392,      7.10206992983331, 6.95474206477502, 6.16175607197734, 6.16175607197734,      6.97273607492461, 7.41905192895776, 6.50789265243056, 6.48254224033906,      7.49669975318446, 6.77374769998522, 7.33264137396139), PROX_MALL = c(0.484724019608978,      0.450738515511335, 0.450738515511335, 0.450738515511335,      0.392080122681935, 0.392080122681935, 0.530342726071102,      0.530342726071102, 0.446026044391999, 0.790613232916467,      0.757845794253982, 0.571849863617429, 0.571849863617429,      0.671391539314818, 0.658794213245526, 0.353588302636786,      0.306862579253759, 0.694568288644574, 0.404491618549369,      0.387548928263219), PROX_CHAS = c(0.270084445320348, 0.221318263528924,      0.221318263528924, 0.221318263528924, 0.214971829128206,      0.214971829128206, 0.254413742194056, 0.254413742194056,      0.130380344727655, 0.40646651865696, 0.175468897673469, 0.332465298200207,      0.332465298200207, 0.0497500971788425, 0.166262674114357,      0.171584438209325, 0.133156315003352, 0.119012364389208,      0.260153188296123, 0.324283073315245), PROX_SUPERMARKET = c(0.483753219919624,      0.449846933875903, 0.449846933875903, 0.449846933875903,      0.391090025360665, 0.391090025360665, 0.529573977763673,      0.529573977763673, 0.445962312606475, 0.260900811674997,      0.336744227428862, 0.204374831829505, 0.204374831829505,      0.442456788826315, 0.385510043100507, 0.320581809168482,      0.27639551573194, 0.485184742393951, 0.355873580059747, 0.337417678694655     ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,      2L, 3L, 0L, 1L, 3L, 3L, 0L, 1L, 1L, 1L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(4L,      4L, 4L, 4L, 4L, 4L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 2L, 3L, 4L,      3L, 3L, 4L, 3L), WITHIN_350M_BUS = c(6L, 6L, 6L, 6L, 8L,      8L, 5L, 5L, 8L, 6L, 6L, 9L, 9L, 12L, 9L, 8L, 7L, 8L, 12L,      9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L,      3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 6L, 5L), DNeighbour = c(0,      44.1419201118885, 49.3385862036312, 51.2251426651877, 90.5332160582831,      92.7877654555756, 102.935833466276, 105.367283016178, 332.334223819074,      433.685345042456, 606.004590624583, 722.058274266319, 726.230005768246,      741.164718915872, 743.485231868853, 746.105164805902, 790.891083968468,      829.685413594636, 853.476551434705, 910.848724105566)), row.names = c("847",      "280", "290", "86", "507", "985", "925", "797", "889", "631",      "720", "497", "328", "300", "228", "991", "530", "85", "535",      "870"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.995308306472831,      0.994140328360594, 0.993684372603447, 0.980339126051616,      0.979352873103986, 0.974620183541047, 0.973415197768614,      0.751473325785117, 0.597988478018305, 0.310640328006529,      0.138069555285298, 0.132710589351974, 0.114162626011768,      0.111373741414746, 0.108256184816625, 0.0605420505390425,      0.0289934288772344, 0.0148858928315623, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1916678480 
R squared (OOB):                  0.2984468 

$Forests[[848]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(3e+05, 288000, 285000,      258000, 292000, 320000, 283000, 4e+05, 340000, 420000, 433000,      416000, 428000, 365000, 395000, 338000, 304500, 415000, 315000,      418000), floor_area_sqm = c(84, 84, 84, 84, 84, 104, 84,      92, 103, 92, 92, 92, 92, 92, 92, 93, 104, 92, 84, 92), storey_order = c(1L,      1L, 3L, 1L, 1L, 3L, 4L, 2L, 4L, 5L, 4L, 4L, 4L, 1L, 2L, 3L,      3L, 5L, 3L, 5L), remaining_lease_mths = c(766, 770, 776,      781, 761, 788, 781, 1130, 784, 1143, 1130, 1140, 1140, 1137,      1146, 778, 783, 1144, 804, 1138), PROX_CBD = c(16.3138748954346,      16.2681803933938, 16.2311391435218, 16.1631400386504, 16.3662877971208,      16.4061281598547, 16.4061281598547, 16.1976566517324, 16.4938482623735,      16.1537572283104, 16.055983361932, 16.055983361932, 16.1831859860721,      16.0046521285213, 16.0046521285213, 16.3741208173644, 16.62872619839,      15.9533618390172, 15.9050437012323, 16.0903666266177), PROX_ELDERLYCARE = c(0.259941730365991,      0.20801878428071, 0.252142982647588, 0.194171564025932, 0.177020457931737,      0.45678545326778, 0.45678545326778, 9.89208662673193e-07,      0.54260343924556, 0.0462823216560119, 0.146417557277997,      0.146417557277997, 0.0701319802482612, 0.20718686492254,      0.20718686492254, 0.617661573186221, 0.618318415391572, 0.251148223850536,      0.346730428331521, 0.179967723198436), PROX_HAWKER = c(1.19589315813724,      1.14155805943316, 1.12300848995143, 1.03995728027003, 1.20613696965479,      1.27662029927611, 1.27662029927611, 1.03146250928298, 1.26080574998962,      0.986028325459381, 0.897672222950446, 0.897672222950446,      1.00994702859189, 0.855932206484513, 0.855932206484513, 1.08852003222566,      1.328000513126, 0.802087399746937, 0.79668564149145, 0.9143232220583     ), PROX_MRT = c(0.896077488488813, 0.896888955057001, 0.830985280221221,      0.842728374229233, 1.07002489239586, 0.840195727203247, 0.840195727203247,      1.02706758196582, 0.884131305433386, 1.02112351286352, 0.936151237003446,      0.936151237003446, 1.08237519657155, 0.883219311345816, 0.883219311345816,      0.70945464840636, 1.00682967627403, 0.8851452059773, 0.750476153315833,      1.13213387762555), PROX_PARK = c(0.695881850270676, 0.750067315759091,      0.723677668737743, 0.707513815343702, 0.840406553837571,      0.499042267647801, 0.499042267647801, 0.822565203699192,      0.418424058290637, 0.793519520304926, 0.683762717294504,      0.683762717294504, 0.848434833813522, 0.619767633008914,      0.619767633008914, 0.371358045807383, 0.402413252549947,      0.589052524814441, 0.475878847958935, 0.83568858459355),          PROX_GOOD_PRISCH = c(6.84997592861041, 6.81173689796023,          6.76533990958697, 6.70927938580052, 6.93507101526025,          6.91087941258894, 6.91087941258894, 6.78043949525415,          6.98980449668537, 6.74044920052795, 6.63421015362065,          6.63421015362065, 6.78038310261662, 6.57618460349959,          6.57618460349959, 6.84990365493624, 7.12509880547394,          6.52939634907869, 6.45664561130608, 6.70919168347838),          PROX_MALL = c(0.242195958154985, 0.188162247463955, 0.175221521556568,          0.0870960802892481, 0.298590834338171, 0.408074329267436,          0.408074329267436, 0.189710317758296, 0.506769239398443,          0.180580587241737, 0.118546137622893, 0.118546137622893,          0.241735562355662, 0.110811660449771, 0.110811660449771,          0.523710338103731, 0.615098633053939, 0.161178852361569,          0.18299798168314, 0.311149009276151), PROX_CHAS = c(0.218904529587093,          0.160774225575301, 0.170601730776313, 0.081875317774622,          0.209004221202181, 0.178111672550416, 0.178111672550416,          0.0868060808909073, 0.128042490192306, 0.0922372285822684,          0.110329053122027, 0.110329053122027, 0.148113838308576,          0.114687044901222, 0.114687044901222, 0.0863783451683255,          0.218296317772089, 0.165813590617473, 0.190026772642962,          0.215238065300109), PROX_SUPERMARKET = c(0.204979568486045,          0.189660657064324, 0.137275095711229, 0.0873208554119548,          0.303085580417471, 0.17811123384324, 0.17811123384324,          0.195853508350489, 0.128042463684685, 0.186806037215644,          0.123371553336512, 0.123371553336512, 0.247969406526707,          0.112847248683738, 0.112847248683738, 0.0863776808909183,          0.218296734885766, 0.162291812321236, 0.179336240856332,          0.316789996913415), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          1L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 6L,          5L, 6L, 8L, 4L, 4L, 8L, 4L, 8L, 3L, 3L, 7L, 3L, 3L, 4L,          4L, 3L, 4L, 2L), WITHIN_350M_BUS = c(8L, 11L, 10L, 11L,          5L, 8L, 8L, 7L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 4L, 6L, 8L,          8L, 8L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 4L, 4L,          4L, 5L, 4L, 4L, 5L, 5L, 4L, 5L, 5L, 4L, 4L, 5L, 6L, 4L         ), DNeighbour = c(0, 60.1767177645244, 75.6193475840869,          152.392856248312, 188.097502064474, 196.443464387516,          201.071808585041, 259.545792327122, 288.519182043939,          291.762634308885, 319.103426272849, 323.522226014546,          330.665298059803, 341.445672586947, 341.735085984751,          364.974651235307, 384.34724750262, 394.449572810068,          404.13612011794, 449.858465514456)), row.names = c("848",      "798", "945", "872", "687", "595", "49", "427", "150", "869",      "741", "538", "661", "594", "408", "788", "26", "124", "59",      "249"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.964532376166582,      0.944285974740628, 0.783655994025557, 0.680906655855099,      0.654985906018523, 0.640353105045322, 0.445060867928865,      0.346524335833763, 0.335661399712168, 0.246844193511436,      0.233098216938134, 0.211334982269321, 0.179698457550759,      0.178871079744062, 0.116810941875436, 0.0729246036913344,      0.0534388619302468, 0.0372274804801584, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1038095978 
R squared (OOB):                  0.7062465 

$Forests[[849]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(520000, 409500, 418000,      538000, 515000, 560000, 385000, 465000, 446000, 620000, 488000,      480000, 660000, 450000, 445000, 290000, 451000, 515000, 582000,      678000), floor_area_sqm = c(107, 84, 84, 90, 84, 105, 93,      91, 94, 103, 104, 94, 105, 104, 84, 87, 83, 110, 104, 92),          storey_order = c(2L, 3L, 3L, 5L, 4L, 2L, 1L, 2L, 2L,          4L, 1L, 6L, 6L, 1L, 3L, 1L, 8L, 1L, 3L, 3L), remaining_lease_mths = c(892,          807, 804, 995, 804, 913, 772, 764, 723, 742, 776, 725,          748, 828, 647, 643, 604, 859, 935, 1103), PROX_CBD = c(4.23142849537126,          4.20973993763024, 4.20973993763024, 4.4759193492502,          3.75781957676323, 3.91005014077452, 4.25035751849909,          4.28329341592686, 4.45295385586978, 3.79744534670369,          4.16405648472164, 4.50933618399607, 3.5952466633456,          5.12061996426338, 4.82546817648507, 4.35364804731157,          3.63056019358172, 5.31333197008925, 5.4901102241405,          3.93031212371417), PROX_ELDERLYCARE = c(0.272010492111063,          0.156291063754703, 0.156291063754703, 0.136621520737764,          0.582389211118023, 0.449207181019876, 0.411587417191489,          0.4193003334471, 0.645271528549996, 0.296175206272889,          0.434539750657667, 0.665866395733666, 0.354500614782039,          0.279354008399566, 0.401252043911139, 0.402111762367986,          0.124703716495981, 0.301885421229742, 0.157919913507301,          0.159701117649001), PROX_HAWKER = c(0.392124905911543,          0.46881842734995, 0.46881842734995, 0.736355433757935,          0.393163811818296, 0.464701711390969, 0.610932712322496,          0.638679046714181, 0.601904675681234, 0.300770398866256,          0.502732414569621, 0.665007751295857, 0.311385334077859,          0.158729667464322, 0.33634581375869, 0.52502919100195,          0.0619655343942362, 0.15027253820603, 0.258924665495,          0.374782156946409), PROX_MRT = c(0.870814763860364, 0.750034220630686,          0.750034220630686, 0.930431293452388, 0.434583879195091,          0.361698258812245, 0.605174310138743, 0.637237645879563,          0.66128766903618, 0.195276091150508, 0.518003091395578,          0.549595780709265, 0.16267041353008, 1.12797954219589,          0.437510974512092, 0.698417082344063, 0.188513622979597,          0.839256513816073, 1.30755754576723, 0.57487373386568         ), PROX_PARK = c(0.989030190878471, 0.828179073128827,          0.828179073128827, 0.786607284590569, 0.885911587583127,          0.651892034671684, 0.346786980248178, 0.336599362476296,          0.473457593144303, 0.620239922284967, 0.269719137898212,          0.353281501558379, 0.796125682214674, 1.12857946410316,          0.386749503328341, 0.0959047492621704, 0.634729277660292,          0.919693677764514, 0.803347187860442, 0.43227753152338         ), PROX_GOOD_PRISCH = c(3.47561641519302, 3.58178441884724,          3.58178441884724, 3.43096694593549, 3.98479480133756,          3.96984616110429, 3.87277035706644, 3.85984302070176,          3.02211493728223, 4.13618512399158, 3.99853475328204,          2.94429219434277, 4.26949140427292, 2.70116277997296,          2.65585299610189, 4.11088283479722, 4.47678155678584,          2.32631552336422, 2.45379201830723, 4.55218800106713),          PROX_MALL = c(1.1888213641646, 1.26743973989934, 1.26743973989934,          1.02435160052226, 1.1081035152608, 1.2652175398851, 0.955673327573223,          0.92062293894618, 0.570379319619026, 1.16769889708728,          1.00998414702412, 0.485349818185599, 0.962766222186716,          1.02774547618649, 0.337875853585261, 0.801857467962545,          0.917363569028491, 0.752077094160308, 1.21674302842157,          1.09934779211931), PROX_CHAS = c(0.106822211501606, 0.163154212627783,          0.163154212627783, 0.105578702221058, 0.345906079563203,          0.108899254787234, 0.260827480873255, 0.285886541141976,          0.303272176186244, 0.121619853002556, 0.147909276913635,          0.331046161101227, 0.0963682910788478, 0.193072984237221,          0.315432137833306, 0.130252709580884, 0.112941217538546,          0.111194343620761, 0.233242749827373, 0.304936065418075         ), PROX_SUPERMARKET = c(0.139079920157556, 0.118448079318654,          0.118448079318654, 0.0670716613901785, 0.128350069204848,          0.115229795891962, 0.512280309006142, 0.506434284786685,          0.34627255092781, 0.191561540751545, 0.506391752127701,          0.325943517329761, 0.269187390315468, 0.198191070641627,          0.0907256678718214, 0.591301773724787, 0.0867224629960944,          0.370675298005651, 0.37596142908425, 0.35411008396507         ), WITHIN_350M_KINDERGARTEN = c(2L, 1L, 1L, 0L, 2L, 1L,          1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 3L, 3L, 2L, 4L, 4L,          5L, 4L, 1L, 4L, 6L, 1L, 4L, 4L, 2L, 4L, 5L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 5L, 3L, 5L, 5L, 5L,          6L, 5L, 5L, 5L, 6L, 9L, 8L, 6L, 4L, 12L, 10L, 5L), WITHIN_1KM_PRISCH = c(2L,          3L, 3L, 3L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 0L, 2L, 3L, 2L,          2L, 2L, 3L, 3L, 1L), DNeighbour = c(0, 165.630220363038,          168.637518575439, 358.256742445308, 518.528786976805,          526.175826367182, 642.70016503937, 662.957924722308,          674.428742498191, 682.48257398615, 738.419881993983,          795.572967171736, 799.318592688773, 883.516680727556,          906.25008016177, 1032.08875256651, 1040.41261421347,          1163.19081767871, 1251.84386199786, 1271.07620735585)), row.names = c("849",      "382", "907", "411", "234", "176", "19", "747", "346", "952",      "223", "622", "699", "646", "288", "532", "237", "279", "307",      "801"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.966328451496616,      0.965105574723974, 0.8474285815206, 0.694857502694326, 0.686638265445476,      0.554032518860379, 0.529929420803035, 0.51619515231547, 0.506521319225579,      0.438916745460861, 0.369959446779624, 0.365475119157456,      0.267128927020543, 0.241731106547426, 0.116068384437809,      0.108906886687716, 0.0264225874235897, 0.000901955525294464,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6584675061 
R squared (OOB):                  0.2588131 

$Forests[[850]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(830000, 1023801, 1038000,      890000, 1056800, 1110000, 643888, 755000, 7e+05, 685000,      753000, 620000, 748000, 476000, 475000, 537000, 945500, 912000,      680000, 5e+05), floor_area_sqm = c(94, 95, 95, 93, 95, 94,      83, 90, 93, 93, 87, 103, 107, 103, 103, 106, 87, 87, 91,      103), storey_order = c(9L, 13L, 13L, 2L, 16L, 17L, 4L, 2L,      1L, 4L, 5L, 2L, 2L, 2L, 2L, 4L, 8L, 3L, 3L, 1L), remaining_lease_mths = c(1088,      1085, 1088, 1079, 1081, 1086, 721, 983, 625, 1115, 1104,      911, 899, 774, 781, 760, 1143, 1142, 984, 773), PROX_CBD = c(1.64296215322618,      1.64296215322618, 1.6109563636452, 1.67386574810093, 1.77209924777956,      1.77209924777956, 1.53899731723416, 2.01305703462688, 2.09358084499411,      2.56060478168524, 2.5775653440094, 2.86182045335715, 2.52364731081334,      3.09516181063763, 3.09516181063763, 3.12641734116327, 2.51922626320824,      2.51922626320824, 2.86455481676114, 3.24578829573265), PROX_ELDERLYCARE = c(0.294850727643248,      0.294850727643248, 0.267363987874465, 0.177855560288099,      0.140516738363648, 0.140516738363648, 0.194322059338883,      0.301111196915018, 0.442569764285143, 0.303984777605612,      0.283170941801308, 0.334062202372697, 0.132133546591398,      0.614909460801077, 0.614909460801077, 0.570344367187993,      1.25853619714168e-06, 1.25853619714168e-06, 0.111411798512938,      0.461566734593474), PROX_HAWKER = c(0.280083683397779, 0.280083683397779,      0.235977344459711, 0.190132187507835, 0.23052169920376, 0.23052169920376,      0.0778854840685767, 0.439754799726314, 0.103399879312882,      0.450094806637729, 0.447120961378381, 0.231089093207534,      0.315417458803045, 0.524942013349153, 0.524942013349153,      0.582032517556358, 0.187177165934232, 0.187177165934232,      0.302651224916382, 0.461305554076076), PROX_MRT = c(0.262926729358016,      0.262926729358016, 0.29771914919713, 0.379670718067057, 0.454819638815125,      0.454819638815125, 0.338341879948785, 0.650763936895186,      0.681532284353367, 0.546591463865751, 0.499107329029013,      0.819080841065402, 0.277076743329557, 1.19880844528061, 1.19880844528061,      1.19588154804183, 0.243725266054354, 0.243725266054354, 0.391395986196982,      1.11057161001852), PROX_PARK = c(0.366095429090919, 0.366095429090919,      0.367398542795172, 0.464667269713551, 0.568364566172339,      0.568364566172339, 0.431332248643832, 0.806729342800227,      0.400473707610266, 0.21329655328302, 0.18481391877062, 0.609617368578913,      0.163253442595557, 0.971409228458194, 0.971409228458194,      0.971029675538415, 0.28862748451296, 0.28862748451296, 0.399002951856213,      0.856773721705297), PROX_GOOD_PRISCH = c(6.02306971378175,      6.02306971378175, 6.05683769533381, 6.13913327172338, 6.2014068010071,      6.2014068010071, 6.20754086879516, 6.32589195448141, 4.81109980295855,      4.93746215949662, 4.89009258041755, 5.1514664212482, 4.61812725480087,      5.46565510857314, 5.46565510857314, 5.52416256345089, 4.50145006484821,      4.50145006484821, 4.71207116352008, 5.51078547454581), PROX_MALL = c(0.44820920236387,      0.44820920236387, 0.415453175187746, 0.332985789848242, 0.293469301127063,      0.293469301127063, 0.293332886646226, 0.368960166061844,      0.685370188976197, 0.572150632107275, 0.524781909718914,      0.848351644608041, 0.290995843291254, 1.2281628510896, 1.2281628510896,      1.29251563056945, 0.244046547559164, 0.244046547559164, 0.420489734799516,      1.33172083977874), PROX_CHAS = c(0.0951865321113252, 0.0951865321113252,      0.0860247998100326, 0.0280349864391529, 0.116110892529562,      0.116110892529562, 0.0279718763032621, 0.298496878246672,      0.165994533154508, 0.0640474788759872, 0.0301364724824846,      0.159666076311523, 0.0122221533760307, 0.240903750709302,      0.240903750709302, 0.202999736112437, 0.0462846720247782,      0.0462846720247782, 0.110042750971165, 0.0869328465249217     ), PROX_SUPERMARKET = c(0.28799517805095, 0.28799517805095,      0.248046397132554, 0.185142915152075, 0.203860721712114,      0.203860721712114, 0.114546579488019, 0.364789845186166,      0.346795592234613, 0.315915165677582, 0.275738565320567,      0.360029455717415, 0.0373112013983995, 0.240902416159861,      0.240902416159861, 0.202998478162502, 0.169442491353445,      0.169442491353445, 0.110042446678578, 0.0869315055470345),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 6L, 7L, 7L, 7L,          8L, 4L, 4L, 4L, 4L, 3L, 6L, 2L, 2L, 2L, 4L, 4L, 4L, 2L         ), WITHIN_350M_BUS = c(9L, 9L, 11L, 9L, 10L, 10L, 9L,          10L, 7L, 3L, 3L, 4L, 6L, 4L, 4L, 5L, 4L, 4L, 7L, 6L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 4L, 2L), DNeighbour = c(0,          3.29951385597731, 46.9956627691463, 125.73561559413,          206.622091495144, 211.871316468566, 227.947827071537,          444.842421284742, 1217.15716718055, 1346.02988719705,          1386.84929629491, 1476.19001380669, 1527.44416128107,          1581.55754071296, 1581.77007758371, 1597.13289611776,          1605.77501010758, 1613.85135549438, 1687.80565143556,          1714.69733763653)), row.names = c("850", "91", "619",      "10", "509", "321", "524", "567", "824", "390", "999", "561",      "65", "126", "134", "48", "816", "550", "968", "192"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999992594503901, 0.998498216044972, 0.989274871706209,      0.971170043380841, 0.969697995855379, 0.964967479081832,      0.869922820285574, 0.246145123287525, 0.147288537557969,      0.119605712800399, 0.0670002602555526, 0.0426356042878296,      0.0222796034844527, 0.0222113924804149, 0.0175363097955606,      0.0151315587277739, 0.0130339825412785, 0.00096846338602039,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       24368198345 
R squared (OOB):                  0.3934389 

$Forests[[851]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(347000, 365000, 370000,      315000, 375000, 440000, 388000, 308000, 380000, 355000, 330000,      370000, 446000, 340000, 390000, 365000, 420000, 360000, 360000,      428000), floor_area_sqm = c(103, 103, 98, 84, 92, 103, 103,      84, 102, 103, 103, 104, 107, 104, 104, 107, 99, 103, 99,      90), storey_order = c(3L, 4L, 2L, 3L, 2L, 2L, 3L, 1L, 2L,      3L, 2L, 2L, 3L, 1L, 1L, 1L, 3L, 1L, 2L, 8L), remaining_lease_mths = c(777,      768, 767, 788, 938, 918, 935, 795, 938, 793, 800, 763, 783,      772, 763, 766, 929, 777, 796, 1008), PROX_CBD = c(12.4516179583977,      12.6612960596841, 12.6407298816561, 13.0463978034086, 12.0748651503812,      12.1964782349865, 12.2384019056968, 13.3304860768802, 12.4172252614445,      13.46147060752, 13.46147060752, 13.075732494377, 13.1163383572019,      13.1145091682395, 13.1145091682395, 13.578535689825, 13.2222340992065,      13.7231688188033, 13.8977069202737, 13.8412030491349), PROX_ELDERLYCARE = c(0.517665393733001,      0.349885373003571, 0.198383641986835, 0.612412426395362,      0.485644504612505, 0.395535007521183, 0.481492260541915,      0.85382998667073, 0.466477120293287, 1.01995663096129, 1.01995663096129,      0.206309775801723, 0.258125844069092, 0.233566729538939,      0.233566729538939, 0.535215785060316, 0.385934705647939,      0.681177733621966, 1.56746404607568, 1.74703283433278), PROX_HAWKER = c(1.97187302693261,      1.71720286170745, 1.70233840124208, 1.36023111372333, 1.97379568283644,      2.11269605893479, 2.08679181031876, 1.09459947163448, 1.89270186421095,      1.03983060555389, 1.03983060555389, 1.2806114078583, 1.23349193679857,      1.24018164124527, 1.24018164124527, 0.775756145922257, 1.08380419022874,      0.601426993813282, 1.04237506554324, 1.43519165592487), PROX_MRT = c(1.07246547116041,      0.798149237832703, 0.712674611555213, 0.622051877914657,      1.16171233055988, 1.03396693725809, 1.00400763232319, 0.525688124362732,      0.847625669994717, 0.367668143276235, 0.367668143276235,      0.218393806785847, 0.166998983475289, 0.402767024758649,      0.402767024758649, 0.357978123578611, 0.503688459146237,      0.498221170198522, 0.300373388684648, 0.462396576385451),          PROX_PARK = c(0.540079114132334, 0.722272593032778, 0.87239282209614,          0.572775970192077, 0.570565135790359, 0.631382355736929,          0.617440020241687, 0.620743454357064, 0.790049777369869,          0.582693033366388, 0.582693033366388, 1.31516124688894,          1.28385310080255, 1.4917670023494, 1.4917670023494, 1.33984402369384,          1.61082819122054, 1.26781451063295, 0.782220037546154,          0.752068597068081), PROX_GOOD_PRISCH = c(2.37408427308534,          2.58047246486208, 2.56532775368338, 2.96540091825049,          2.03318600563725, 2.16851203086393, 2.2532718981807,          3.24954726475941, 2.44639044951476, 3.38131302543864,          3.38131302543864, 3.06740437701091, 3.10133739012884,          3.15473759747012, 3.15473759747012, 3.55013641033528,          3.2388029474634, 3.673854441535, 3.83525569342672, 3.82728738248792         ), PROX_MALL = c(1.09246464633101, 0.817237002784756,          0.751522975449472, 0.587476612974174, 1.24268779707958,          1.12036230953297, 1.10261213560447, 0.513372166694422,          0.95273084922996, 0.644549177151603, 0.644549177151603,          0.332903613799786, 0.281310431650798, 0.504156272689578,          0.504156272689578, 0.305514521023982, 0.587950861513872,          0.406890039239853, 1.14150204308926, 1.33339622609195         ), PROX_CHAS = c(0.137011223676854, 0.248450831201433,          0.217156748290024, 0.40513819943783, 0.0669716337617594,          0.194956542036987, 0.187666753228527, 0.472814153962233,          0.132703338642494, 0.348399033159575, 0.348399033159575,          0.122328851042638, 0.155371621529032, 0.11048408202451,          0.11048408202451, 0.282171570268124, 0.151225190585885,          0.176857487498571, 0.162936326565904, 0.116038559859119         ), PROX_SUPERMARKET = c(0.417679622168911, 0.326739034058403,          0.217156859083098, 0.599997973636583, 0.301394789473075,          0.242376621204914, 0.388917381074845, 0.510727353781082,          0.453312253927337, 0.356146193343619, 0.356146193343619,          0.193246634773484, 0.141466460051892, 0.362446168440829,          0.362446168440829, 0.281417393052806, 0.459946280432931,          0.270532795629183, 0.162936951836525, 0.116038559858059         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 2L, 2L, 1L, 1L,          1L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 2L, 2L, 4L,          2L, 4L, 3L, 3L, 3L, 4L, 4L, 6L, 6L, 4L, 5L, 4L, 4L, 3L         ), WITHIN_350M_BUS = c(9L, 12L, 10L, 7L, 9L, 9L, 10L,          5L, 9L, 6L, 6L, 10L, 9L, 7L, 7L, 10L, 8L, 8L, 5L, 5L),          WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 2L, 2L, 2L, 3L,          2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 3L, 3L, 3L), DNeighbour = c(0,          270.331101972771, 373.35429453205, 611.988512419187,          687.813140804412, 711.014903677839, 885.803506072486,          893.24867013019, 943.515866979167, 1010.15842039729,          1017.46125178973, 1076.04984118929, 1079.25202823742,          1284.37868152869, 1289.46401259287, 1395.21850312277,          1440.67488577144, 1440.67944838253, 1468.67522365659,          1529.96305541585)), row.names = c("851", "552", "477",      "987", "721", "677", "399", "61", "296", "332", "526", "929",      "105", "844", "164", "856", "350", "960", "479", "678"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.938535072399996, 0.884446550978555, 0.705597109664075,      0.636634951704996, 0.614701409422252, 0.441949914664198,      0.434458473662139, 0.384017016639909, 0.318174589569101,      0.311078214602148, 0.255373011386448, 0.252401744885184,      0.08718290723683, 0.0839121132905966, 0.0283533454714882,      0.0128399553119701, 0.0128386825440469, 0.00616414576676219,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1266489064 
R squared (OOB):                  0.1289874 

$Forests[[852]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(455000, 393000, 448000,      450000, 395000, 415000, 360000, 420000, 405000, 430000, 405000,      410000, 430000, 495000, 412000, 362500, 380000, 537000, 425000,      518000), floor_area_sqm = c(113, 103, 116, 106, 106, 103,      84, 112, 105, 104, 104, 106, 107, 93, 104, 103, 106, 93,      104, 93), storey_order = c(5L, 2L, 3L, 4L, 2L, 3L, 3L, 4L,      3L, 2L, 2L, 2L, 4L, 2L, 2L, 3L, 1L, 4L, 3L, 2L), remaining_lease_mths = c(824,      818, 827, 834, 834, 834, 811, 866, 856, 861, 862, 871, 868,      1131, 878, 819, 887, 1128, 871, 1132), PROX_CBD = c(14.8805910833212,      14.8805910833212, 15.1039483662242, 15.1256206124729, 15.1256206124729,      15.1256206124729, 14.7472020389823, 15.3605597168545, 15.3605597168545,      15.4019609662575, 15.4019609662575, 15.428944563277, 15.2985874116244,      14.1234549986629, 14.1313829663274, 14.3801998083441, 15.0291078847704,      14.1022978560303, 14.0236082538335, 14.0392008059995), PROX_ELDERLYCARE = c(1.53481387371296,      1.53481387371296, 1.55233595008815, 1.5866097118695, 1.5866097118695,      1.5866097118695, 1.19052284520552, 1.7630974884403, 1.7630974884403,      1.7026350967472, 1.7026350967472, 1.63977306379889, 1.41400995500373,      1.35242241046818, 0.836104821253693, 0.709377020411434, 1.09928331705025,      1.39999761805574, 1.09340394122649, 1.32747908409073), PROX_HAWKER = c(0.395563323563994,      0.395563323563994, 0.672854909342646, 0.674198133913936,      0.674198133913936, 0.674198133913936, 0.606039227085063,      0.874437271649647, 0.874437271649647, 0.985391408166863,      0.985391408166863, 1.09717995764468, 1.16406043263713, 0.458626901673037,      0.73352935155883, 0.928921275219278, 1.15922930524208, 0.488105393549706,      0.594999289424802, 0.543253862226502), PROX_MRT = c(0.650195396152393,      0.650195396152393, 0.927742831261867, 0.930587839854138,      0.930587839854138, 0.930587839854138, 0.807097621625513,      1.13238128237287, 1.13238128237287, 1.24252861976923, 1.24252861976923,      1.35104476777798, 1.40304810962874, 0.250036690549804, 0.735653331318593,      1.02650412956774, 1.36685465541241, 0.255700458734308, 0.469886084443941,      0.327704984287647), PROX_PARK = c(0.355836862982211, 0.355836862982211,      0.613453702116727, 0.625625874274951, 0.625625874274951,      0.625625874274951, 0.432698189125414, 0.852232892319188,      0.852232892319188, 0.934356673366442, 0.934356673366442,      1.02148060415503, 0.98341166564854, 0.469588575534173, 0.463826523913091,      0.71485218383349, 0.808345234949979, 0.52092144022497, 0.504422356794811,      0.547177414231792), PROX_GOOD_PRISCH = c(3.33079371618761,      3.33079371618761, 3.51513652285447, 3.54140201350838, 3.54140201350838,      3.54140201350838, 3.13467644284063, 3.77322944876988, 3.77322944876988,      3.78947597459801, 3.78947597459801, 3.79601078940401, 3.64472604970499,      2.69456588548322, 2.52734391167264, 2.72778429145315, 3.36640767040689,      2.69832814229385, 2.51794344218072, 2.61966269686357), PROX_MALL = c(0.390496575840073,      0.390496575840073, 0.472438990852491, 0.445444903624544,      0.445444903624544, 0.445444903624544, 0.738705771798207,      0.502295694435402, 0.502295694435402, 0.656741946143406,      0.656741946143406, 0.809004632748584, 0.597111778941966,      0.232476208076891, 0.66282583229379, 0.949257633150117, 0.486526360127578,      0.257523814996123, 0.418819234777705, 0.316340524018432),          PROX_CHAS = c(0.448788349522024, 0.448788349522024, 0.353464796953762,          0.387886097439527, 0.387886097439527, 0.387886097439527,          0.19051372613691, 0.563239471741591, 0.563239471741591,          0.478794864158343, 0.478794864158343, 0.352996738297868,          0.0911939042613644, 0.147334233235439, 0.528800676490504,          0.453083161817035, 0.228652490110126, 0.177701329016163,          0.151261605672147, 0.101753514952091), PROX_SUPERMARKET = c(0.447693008221967,          0.447693008221967, 0.429218479578941, 0.411626017932148,          0.411626017932148, 0.411626017932148, 0.326764101800336,          0.187279197917694, 0.187279197917694, 0.1489144838969,          0.1489144838969, 0.252078878715955, 0.408284988301129,          0.147334782275979, 0.528799775767506, 0.513065398645433,          0.234691730121176, 0.177702101069216, 0.151260689076964,          0.101754383553332), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 2L, 2L, 3L, 0L, 0L, 0L, 0L, 0L, 2L, 1L, 0L,          0L, 2L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 1L, 4L, 3L, 3L,          3L, 4L, 4L, 4L), WITHIN_350M_BUS = c(5L, 5L, 7L, 6L,          6L, 6L, 9L, 10L, 10L, 9L, 9L, 11L, 13L, 13L, 6L, 2L,          8L, 11L, 12L, 10L), WITHIN_1KM_PRISCH = c(2L, 2L, 3L,          3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 1L, 2L, 3L, 3L,          1L, 2L, 1L), DNeighbour = c(0, 8.08195480289469, 278.302655087418,          283.741141207542, 289.377094738412, 290.694940063659,          346.047718047333, 503.627030179333, 507.660731043421,          595.441595874435, 602.886583909007, 706.442983480653,          780.924807648971, 810.127403870079, 811.14243600375,          820.736843049747, 828.888727744411, 846.035951215597,          857.318035088585, 883.37075985482)), row.names = c("852",      "639", "188", "457", "483", "233", "136", "782", "994", "495",      "406", "899", "934", "212", "695", "3", "314", "815", "51",      "218"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999832598781648,      0.811343092319018, 0.804301853518696, 0.796894522941716,      0.795146478836501, 0.716635507779349, 0.455575837598835,      0.448546446565476, 0.297731903900328, 0.285386008668864,      0.129930902090146, 0.0477395631980655, 0.025265846414363,      0.0245998752515856, 0.0187085914612157, 0.0142913639522992,      0.00684620753796967, 0.00337735327961102, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2530635687 
R squared (OOB):                  -0.1588071 

$Forests[[853]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(416000, 430000, 575000,      390000, 310000, 380000, 720000, 685000, 710000, 685000, 520000,      518000, 580000, 705000, 740000, 708000, 394000, 545000, 550000,      790000), floor_area_sqm = c(91, 92, 101, 84, 83.1, 89, 93,      93, 101, 102, 101, 93, 90, 90, 95, 90, 102, 101, 102, 95),          storey_order = c(4L, 2L, 6L, 1L, 3L, 5L, 3L, 2L, 2L,          4L, 1L, 4L, 5L, 7L, 4L, 5L, 2L, 1L, 3L, 6L), remaining_lease_mths = c(713,          687, 932, 783, 613, 653, 1143, 1142, 933, 929, 929, 736,          1035, 1041, 954, 1031, 769, 938, 761, 946), PROX_CBD = c(5.10609859014938,          5.17330173892321, 5.56255806753875, 4.91139217141794,          5.99387263807515, 4.19301197437796, 6.10189119169168,          6.19231755176043, 4.27954241101507, 4.15915934561343,          4.23995407977096, 4.29040868967057, 3.73787601157873,          3.66612298934168, 4.09909964212454, 3.56091441303422,          6.11041994069873, 3.59494173601466, 6.04257091454572,          4.0690703028165), PROX_ELDERLYCARE = c(0.320090253923576,          0.151830290872251, 0.0599829320550621, 0.53976690699019,          0.103488744511564, 1.05465194719342, 0.230112759455232,          0.355678840187058, 1.2084977158608, 1.31127122179184,          1.29004325258708, 1.28169673214061, 0.836612932336762,          0.851600940224316, 1.44919747885979, 0.885388735780595,          0.700949857098155, 0.692364880740494, 0.548656319889636,          1.5676876481467), PROX_HAWKER = c(0.333568708255903,          0.261285820740611, 0.248163252655802, 0.526793317066312,          0.131941483902414, 0.297392426102438, 0.193610514045812,          0.287310245845902, 0.32780610994166, 0.296724849746491,          0.242979724501726, 0.224814451985556, 0.15676751515481,          0.157376553669701, 0.17841116959893, 0.210501859943959,          0.917579692245523, 0.142789347249218, 0.19523132016882,          0.124697776657811), PROX_MRT = c(0.549226257235714, 0.568944969773001,          0.389634730949481, 0.348715950460643, 0.422927302226303,          0.670866804568908, 0.385901790532203, 0.3593423355956,          0.45128979061194, 0.361454140857751, 0.369514902074349,          0.386818680985449, 0.349678715281184, 0.281331556481731,          0.212082976996148, 0.1853881461208, 0.781870827245549,          0.346622733589529, 0.448203274012385, 0.103251860461982         ), PROX_PARK = c(0.534309547143458, 0.375618223612072,          0.136342453682232, 0.454973393404149, 0.775542593632535,          1.34668044149268, 0.835974869985028, 0.861129399478803,          0.496161896442625, 0.424082148410156, 0.410157320226128,          0.41256712340984, 1.14436990313984, 1.07330463343821,          0.271559050503854, 0.969171323132551, 0.263971642616293,          1.03638785093261, 0.651264615899835, 0.13380185088312         ), PROX_GOOD_PRISCH = c(3.68539306501406, 3.5160560831601,          3.30515733544794, 3.07957394860643, 3.79476022833587,          4.04417128338034, 3.72727940395598, 3.647323571983, 3.1984009939005,          3.27316539077024, 3.17375518133788, 3.11124078456354,          4.42346384619917, 4.46068770698473, 3.22696055518642,          4.51522724145722, 4.13214763824822, 4.68517728936996,          2.14268529299874, 3.17062142916436), PROX_MALL = c(1.13513631747826,          0.96360119165526, 0.719385659919303, 0.779372162435287,          1.29238059557114, 1.51326780463499, 1.26544404340832,          1.22999734499907, 1.15459749844864, 1.03381347643634,          1.09860538958518, 1.14104925826379, 1.03774509228272,          0.971442928620489, 0.944512912155433, 0.87678025015548,          1.32133984316634, 0.814872047472938, 0.264532440460292,          0.898524741072254), PROX_CHAS = c(0.37199840586913, 0.213267381067323,          0.174009235365936, 0.297280152993809, 3.57955945681819e-08,          0.212246176955017, 0.131092152612185, 0.255647811562625,          0.151798893835737, 0.22718451096924, 0.128246501394164,          0.0683025043642396, 0.0809467071188201, 0.108213750221125,          0.199996678091121, 0.0998361253719761, 0.235562548335707,          0.0573592222158038, 0.12619956254809, 0.162166521351491         ), PROX_SUPERMARKET = c(0.424647979009491, 0.266791583668656,          0.173881454941229, 0.212061147632098, 0.147638600898363,          0.306178228663922, 0.0250108723026275, 0.108411284353298,          0.314587216673928, 0.31622643534726, 0.23908756643158,          0.200251285306447, 0.184584314799668, 0.131005301990959,          0.232527384837024, 0.103744685928207, 0.174913922147584,          0.0573596645426592, 0.178930757423705, 0.209119590970966         ), WITHIN_350M_KINDERGARTEN = c(0L, 2L, 1L, 1L, 1L, 0L,          1L, 0L, 3L, 4L, 4L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 0L, 4L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 2L, 2L, 1L,          2L, 2L, 2L, 10L, 4L, 2L, 3L, 3L, 9L, 3L, 1L, 3L, 4L,          8L), WITHIN_350M_BUS = c(4L, 4L, 2L, 7L, 6L, 5L, 9L,          10L, 2L, 4L, 4L, 4L, 7L, 7L, 8L, 9L, 4L, 4L, 7L, 5L),          WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L, 2L, 1L, 2L, 1L,          2L, 2L, 2L, 2L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L), DNeighbour = c(0,          170.983671112819, 538.815599361142, 736.923673336436,          903.013104450937, 917.559431006967, 995.666477772621,          1085.41589510723, 1293.75550985781, 1380.84031531907,          1381.78689673774, 1385.00029020986, 1403.45455044928,          1471.50125236437, 1525.14914640073, 1577.70488248606,          1585.8351867502, 1608.34722609532, 1635.6123240875, 1659.79620042256         )), row.names = c("853", "270", "596", "251", "752",      "993", "812", "305", "767", "763", "145", "286", "823", "903",      "784", "881", "135", "997", "453", "575"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.978888493601474, 0.8003394762722, 0.644612800450245, 0.495628607301399,      0.482185960856992, 0.409795489508874, 0.327590895707281,      0.154002873874703, 0.0947940340379169, 0.0942104260402161,      0.0922397264104026, 0.0812427066466447, 0.0458043707513245,      0.024231406090736, 0.00930668975493086, 0.00759250408769465,      0.00372508848871304, 0.000836857059541006, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12828959337 
R squared (OOB):                  0.3902356 

$Forests[[854]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(840000, 825000, 820000,      685000, 755000, 750000, 805000, 552000, 472000, 620000, 530000,      408000, 688000, 810000, 745000, 438888, 4e+05, 795888, 580000,      530000), floor_area_sqm = c(87, 87, 87, 85, 90, 90, 104,      100, 84, 102, 111, 84, 85, 90, 90, 80, 92, 95, 100, 118),          storey_order = c(14L, 5L, 9L, 4L, 5L, 11L, 3L, 1L, 2L,          3L, 1L, 6L, 4L, 10L, 7L, 4L, 1L, 7L, 4L, 2L), remaining_lease_mths = c(1141,          1136, 1136, 1038, 1038, 1035, 919, 910, 799, 908, 767,          647, 964, 1045, 1057, 601, 555, 1140, 1013, 594), PROX_CBD = c(4.70219035054856,          4.59114385332588, 4.59114385332588, 4.89531124268982,          4.88070069409732, 4.88070069409732, 4.1456930527125,          4.64904487497998, 4.27761841825855, 4.95292174150019,          4.3501519248406, 5.38657645344473, 3.98134497452694,          5.99670752478149, 6.0390103189171, 3.37234644442932,          5.99479776583207, 6.26284978479934, 4.79843685927635,          6.1023364257416), PROX_ELDERLYCARE = c(0.200702517977741,          0.125633226962327, 0.125633226962327, 0.307888742732217,          0.312658206579851, 0.312658206579851, 0.45180890917037,          0.374326446996408, 0.0937624362906392, 0.0718437191527097,          0.203630745919553, 0.465891927060243, 0.168717999980802,          0.788986586736525, 0.798119493593788, 0.401810150563083,          0.420516157550055, 0.69800247969724, 0.72206466606869,          0.14668864145384), PROX_HAWKER = c(0.646528219825606,          0.762382071136897, 0.762382071136897, 0.546104933523636,          0.595417483526792, 0.595417483526792, 0.668394095052703,          0.28049665267082, 0.566432501893156, 0.126776661941161,          0.509657348502929, 0.351855498276287, 0.262344394473714,          0.199496524550099, 0.151348144296069, 0.449139985411189,          0.295460487376037, 0.130331819855385, 0.669525197575465,          0.107292567178633), PROX_MRT = c(0.491479629856663, 0.586728793826683,          0.586728793826683, 0.275254866694397, 0.314337158810329,          0.314337158810329, 0.413017272318271, 0.763812758173444,          0.40356540460373, 0.804865461788644, 0.533693046359433,          0.675587286197546, 0.310254962870727, 0.226103982865864,          0.225262429159589, 0.537190991659238, 0.305306521480229,          0.132116935816272, 1.13446368103879, 0.649340944892975         ), PROX_PARK = c(1.77379186206272, 1.65596921250538,          1.65596921250538, 1.60860995669454, 1.53366372097489,          1.53366372097489, 1.16828897329218, 1.08394438059851,          1.11098670131371, 0.908868407872405, 0.941534540217125,          1.05249384295472, 0.894232249415992, 0.97332058707081,          0.921128796109604, 0.408351250353425, 0.990750186553446,          0.742212481577902, 0.279857584881724, 0.711925115709351         ), PROX_GOOD_PRISCH = c(2.79995758206102, 2.86977258716747,          2.86977258716747, 2.96671225712824, 3.0451226436528,          3.0451226436528, 3.20846684942761, 3.57098970158234,          3.63213704613537, 3.66355651606602, 3.77462248476967,          3.52335384407219, 3.868083844602, 2.41026804261554, 2.45094763896652,          3.70512913004722, 2.01228232098645, 2.39901634170637,          4.40925832010736, 1.64363723354824), PROX_MALL = c(0.970860317849455,          0.992224857230604, 0.992224857230604, 0.696065710972082,          0.63262312230698, 0.63262312230698, 1.18405339004253,          0.528365937160055, 0.890632544268956, 0.209686974260184,          0.812522711759855, 0.184401966361696, 1.18273225000282,          1.14826594162738, 1.15586968043917, 0.743612757274357,          0.848644658978131, 0.965908348364742, 0.830412122132217,          0.58741271025502), PROX_CHAS = c(0.0639130956899198,          0.156405874770629, 0.156405874770629, 0.22404402777184,          0.278004299073392, 0.278004299073392, 0.401816380076581,          0.251376462502101, 0.116543108560641, 0.176171654931402,          0.237239443458304, 0.131272369045618, 0.145112311632742,          0.157172829578474, 0.103484302768675, 0.499618186459994,          0.262677718190406, 0.0879111496245458, 0.120011087306801,          0.142011209366223), PROX_SUPERMARKET = c(0.0639125072278545,          0.156405662038775, 0.156405662038775, 0.224044642536509,          0.278004958714438, 0.278004958714438, 0.431453687618191,          0.311533400888457, 0.205058734443685, 0.176171398022836,          0.125937465506006, 0.182486832055582, 0.252387257990654,          0.212384620357781, 0.198926203527595, 0.499617451823641,          0.3581952061826, 0.0879117778441782, 0.0907294343182455,          0.585686837888717), WITHIN_350M_KINDERGARTEN = c(2L,          0L, 0L, 5L, 5L, 5L, 1L, 0L, 0L, 2L, 0L, 1L, 1L, 3L, 3L,          0L, 1L, 2L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 3L,          3L, 4L, 5L, 5L, 1L, 2L, 5L, 1L, 5L, 1L, 3L, 3L, 3L, 2L,          1L, 3L, 2L, 2L), WITHIN_350M_BUS = c(7L, 7L, 7L, 9L,          8L, 8L, 7L, 12L, 14L, 7L, 13L, 8L, 12L, 10L, 9L, 8L,          8L, 5L, 6L, 5L), WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L,          1L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L,          2L, 1L), DNeighbour = c(0, 115.926854482811, 120.907937015164,          288.76768442302, 335.59233550858, 337.043449578528, 603.110803870789,          770.849603348901, 858.26115886412, 940.819930650755,          990.051388393035, 1033.23207083392, 1159.39100902769,          1325.97062625239, 1361.23893038107, 1390.79897760426,          1450.00129581718, 1604.27210233272, 1623.43787682158,          1718.73012195729)), row.names = c("854", "333", "768",      "916", "982", "39", "320", "140", "709", "216", "348", "130",      "375", "379", "832", "69", "413", "562", "610", "18"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.990921926152712, 0.990127018909432, 0.944340605834285,      0.92520371185481, 0.924568175755952, 0.768893558226523, 0.63815844173136,      0.563463209833982, 0.490506204467066, 0.446467025593496,      0.407818217167799, 0.296987220175547, 0.163874682002024,      0.138928914651388, 0.11915817044486, 0.0830937992544189,      0.0165776499649213, 0.0116236070100707, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10107175218 
R squared (OOB):                  0.5641963 

$Forests[[855]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(515000, 489000, 510000,      535888, 505000, 510000, 4e+05, 430000, 460000, 403000, 545000,      535000, 525000, 495000, 440000, 532000, 485000, 530000, 460000,      465000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 93, 93, 97, 93, 93, 96, 93, 95, 93, 93), storey_order = c(2L,      2L, 3L, 3L, 4L, 3L, 1L, 1L, 2L, 1L, 5L, 4L, 3L, 5L, 2L, 4L,      2L, 4L, 3L, 5L), remaining_lease_mths = c(1138, 1137, 1141,      1148, 1136, 1136, 1131, 1128, 1137, 1138, 1127, 1118, 1098,      1080, 1142, 1111, 1147, 1106, 1138, 1097), PROX_CBD = c(14.4453014943547,      14.4453014943547, 14.6372730844548, 14.6520289820308, 14.6520289820308,      14.0250110126613, 13.9748767742628, 13.983033341901, 13.9481332653994,      13.9348601041022, 13.8964286142315, 13.8964286142315, 14.3488328635023,      14.2035293519974, 13.9713915856932, 13.8842234613226, 13.9293604468603,      14.4087790426081, 13.8880322509317, 13.8110145095205), PROX_ELDERLYCARE = c(0.431976777822193,      0.431976777822193, 0.618556221806735, 0.613695690312218,      0.613695690312218, 0.0392522324995346, 0.0869602171534455,      0.0819455196406728, 0.108372417523696, 0.122633260073778,      0.28821019895416, 0.28821019895416, 0.805205193908325, 0.685279068417721,      0.226595382415433, 0.284905700992106, 0.234065981952779,      0.87860471100088, 0.250782943854859, 0.2424730747692), PROX_HAWKER = c(0.391270554493315,      0.391270554493315, 0.372997368954845, 0.451492926165754,      0.451492926165754, 0.732915378457501, 0.759405218095962,      0.818439961244233, 0.783686601130967, 0.848294615942255,      0.700607063348248, 0.700607063348248, 0.28631929470226, 0.384064154962602,      0.954180271331751, 0.667389882084889, 0.970053791291438,      0.295591155505828, 0.989318285046145, 0.93957565430704),          PROX_MRT = c(0.309279527401184, 0.309279527401184, 0.272003951573521,          0.194501865291986, 0.194501865291986, 0.179377644983316,          0.16215489673441, 0.0961191462833423, 0.146013494832411,          0.066674836544346, 0.214342865325431, 0.214342865325431,          0.320519516131068, 0.289240493397468, 0.128817306959056,          0.172676244118343, 0.101292979723356, 0.258499173090988,          0.0905698875540676, 0.110074032088272), PROX_PARK = c(0.463863624631307,          0.463863624631307, 0.308864268906528, 0.365417477470037,          0.365417477470037, 0.898948825756494, 0.93793434477989,          0.973290645087517, 0.964943529987853, 1.01289159319472,          0.945155408432775, 0.945155408432775, 0.585388118838944,          0.69423802629866, 1.07610116952693, 0.946790994443363,          1.10248671215858, 0.572778275466331, 1.13098813526459,          1.12286028608686), PROX_GOOD_PRISCH = c(4.92565705183443,          4.92565705183443, 5.11658251455146, 5.11305585404091,          5.11305585404091, 4.48326906164864, 4.4381077472328,          4.42376284483209, 4.41058426346667, 4.3780728039611,          4.42474408393319, 4.42474408393319, 4.99658730632735,          4.84858590291698, 4.37541592083903, 4.46427355245829,          4.33684280477295, 5.07040230577432, 4.29841605508598,          4.2580170038876), PROX_MALL = c(0.259948531881284, 0.259948531881284,          0.415222463814875, 0.462374515344904, 0.462374515344904,          0.387952579177684, 0.408666125180857, 0.475935346664486,          0.431747484707969, 0.500682206465503, 0.36232957329041,          0.36232957329041, 0.415696526053807, 0.37351280301214,          0.625072347077181, 0.384398044205003, 0.634323955575517,          0.48422641650143, 0.648384322611893, 0.585854127158584         ), PROX_CHAS = c(0.259948576333881, 0.259948576333881,          0.210026666936211, 0.131494587645238, 0.131494587645238,          0.116095717847762, 0.0955424375353944, 0.0483941894268844,          0.0812590805558053, 3.70448785353559e-08, 0.190952462752685,          0.190952462752685, 0.232702657922268, 0.170907589664044,          0.0752462089475253, 0.0936868185767241, 0.0456516508281062,          0.263312743704905, 0.0495611607390083, 0.123846030022364         ), PROX_SUPERMARKET = c(0.257218468152336, 0.257218468152336,          0.207346349364418, 0.133013806318261, 0.133013806318261,          0.21237786594893, 0.205979542456043, 0.123899374628808,          0.194128300134642, 0.112910168339451, 0.190953240917096,          0.190953240917096, 0.232703172737007, 0.170908382081647,          0.0752464841458058, 0.093687407280864, 0.04565204632056,          0.263313051629592, 0.0495614942866338, 0.157551778944521         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 0L, 0L, 2L,          2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 2L, 2L, 2L, 5L,          4L, 4L, 3L, 5L, 4L, 4L, 6L, 5L, 5L, 3L, 4L, 6L, 3L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 4L, 6L, 6L, 9L, 6L, 11L,          7L, 11L, 9L, 9L, 9L, 9L, 11L, 7L, 11L, 10L, 11L, 12L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 5L, 5L, 6L, 5L, 4L, 5L, 4L, 5L, 4L, 4L), DNeighbour = c(0,          7.34047278616122, 193.64969682805, 216.006558759632,          216.386793962571, 437.821564454683, 484.767669987608,          513.534373826944, 517.282635872632, 548.438587817946,          557.166447019544, 561.443806426598, 593.210020345978,          601.412398267174, 603.563258408143, 629.6788493083, 632.719484471166,          640.623862245166, 658.615748966192, 664.660022573945)), row.names = c("855",      "50", "846", "284", "958", "8", "690", "710", "34", "356",      "442", "760", "363", "66", "361", "670", "21", "969", "662",      "645"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999756077164688,      0.83743418474662, 0.799920544847939, 0.799254972500948, 0.320462953583192,      0.219073821079476, 0.162447125245042, 0.155473467831573,      0.101851268818616, 0.0883864813533372, 0.0820638964144736,      0.041388321108738, 0.0328554409185362, 0.0307630668971793,      0.0105042850790079, 0.0087987361044251, 0.00504361473640067,      0.000327786241649548, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1147621663 
R squared (OOB):                  0.419998 

$Forests[[856]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 360000, 446000,      370000, 358888, 390000, 420000, 340000, 304000, 316000, 308000,      355000, 330000, 315000, 415000, 420000, 370000, 345000, 335000,      365000), floor_area_sqm = c(107, 103, 107, 104, 91, 104,      99, 104, 104, 104, 84, 103, 103, 84, 100, 90, 98, 92, 90,      103), storey_order = c(1L, 1L, 3L, 2L, 3L, 1L, 3L, 1L, 2L,      1L, 1L, 3L, 2L, 3L, 1L, 2L, 2L, 2L, 1L, 4L), remaining_lease_mths = c(766,      777, 783, 763, 763, 763, 929, 772, 776, 777, 795, 793, 800,      788, 944, 925, 767, 742, 731, 768), PROX_CBD = c(13.578535689825,      13.7231688188033, 13.1163383572019, 13.075732494377, 13.6826822978472,      13.1145091682395, 13.2222340992065, 13.1145091682395, 13.8730731524118,      13.8730731524118, 13.3304860768802, 13.46147060752, 13.46147060752,      13.0463978034086, 13.1525533734461, 12.960867808991, 12.6407298816561,      13.8901285505698, 13.8901285505698, 12.6612960596841), PROX_ELDERLYCARE = c(0.535215785060316,      0.681177733621966, 0.258125844069092, 0.206309775801723,      0.000158780971194199, 0.233566729538939, 0.385934705647939,      0.233566729538939, 0.192118066579221, 0.192118066579221,      0.85382998667073, 1.01995663096129, 1.01995663096129, 0.612412426395362,      0.640770029240432, 0.579007844644764, 0.198383641986835,      0.540311266279695, 0.540311266279695, 0.349885373003571),          PROX_HAWKER = c(0.775756145922257, 0.601426993813282,          1.23349193679857, 1.2806114078583, 0.699744847940348,          1.24018164124527, 1.08380419022874, 1.24018164124527,          0.635045114374877, 0.635045114374877, 1.09459947163448,          1.03983060555389, 1.03983060555389, 1.36023111372333,          0.959649545299011, 1.16344345150942, 1.70233840124208,          0.213123049695643, 0.213123049695643, 1.71720286170745         ), PROX_MRT = c(0.357978123578611, 0.498221170198522,          0.166998983475289, 0.218393806785847, 0.751023886560838,          0.402767024758649, 0.503688459146237, 0.402767024758649,          0.865482366580506, 0.865482366580506, 0.525688124362732,          0.367668143276235, 0.367668143276235, 0.622051877914657,          0.944408516927639, 0.899387073359532, 0.712674611555213,          0.793013171832836, 0.793013171832836, 0.798149237832703         ), PROX_PARK = c(1.33984402369384, 1.26781451063295,          1.28385310080255, 1.31516124688894, 1.77145949687945,          1.4917670023494, 1.61082819122054, 1.4917670023494, 1.73324375775577,          1.73324375775577, 0.620743454357064, 0.582693033366388,          0.582693033366388, 0.572775970192077, 1.65277848527316,          1.44660566239193, 0.87239282209614, 1.23128896715218,          1.23128896715218, 0.722272593032778), PROX_GOOD_PRISCH = c(3.55013641033528,          3.673854441535, 3.10133739012884, 3.06740437701091, 3.58938982364218,          3.15473759747012, 3.2388029474634, 3.15473759747012,          3.76914808697313, 3.76914808697313, 3.24954726475941,          3.38131302543864, 3.38131302543864, 2.96540091825049,          2.95137840528657, 2.82458087567675, 2.56532775368338,          3.56420611596829, 3.56420611596829, 2.58047246486208),          PROX_MALL = c(0.305514521023982, 0.406890039239853, 0.281310431650798,          0.332903613799786, 0.770100764029299, 0.504156272689578,          0.587950861513872, 0.504156272689578, 0.861712986146148,          0.861712986146148, 0.513372166694422, 0.644549177151603,          0.644549177151603, 0.587476612974174, 0.703422933264244,          0.695129776671669, 0.751522975449472, 1.05377974643614,          1.05377974643614, 0.817237002784756), PROX_CHAS = c(0.282171570268124,          0.176857487498571, 0.155371621529032, 0.122328851042638,          0.110149755252424, 0.11048408202451, 0.151225190585885,          0.11048408202451, 0.0967538959757692, 0.0967538959757692,          0.472814153962233, 0.348399033159575, 0.348399033159575,          0.40513819943783, 0.1365287941905, 0.341366062526918,          0.217156748290024, 0.0812638133573676, 0.0812638133573676,          0.248450831201433), PROX_SUPERMARKET = c(0.281417393052806,          0.270532795629183, 0.141466460051892, 0.193246634773484,          0.11210687568128, 0.362446168440829, 0.459946280432931,          0.362446168440829, 0.094684564379848, 0.094684564379848,          0.510727353781082, 0.356146193343619, 0.356146193343619,          0.599997973636583, 0.688592108834651, 0.668273194253219,          0.217156859083098, 0.082811926566736, 0.082811926566736,          0.326739034058403), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 0L, 0L, 2L, 0L, 0L, 0L, 2L, 2L, 1L, 1L, 1L, 2L, 0L,          0L, 2L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 3L, 6L, 5L, 6L, 3L, 3L, 4L, 3L, 3L, 2L, 2L, 1L,          4L, 4L, 4L, 3L), WITHIN_350M_BUS = c(10L, 8L, 9L, 10L,          9L, 7L, 8L, 7L, 8L, 8L, 5L, 6L, 6L, 7L, 6L, 2L, 10L,          4L, 4L, 12L), WITHIN_1KM_PRISCH = c(4L, 3L, 3L, 3L, 2L,          3L, 4L, 3L, 2L, 2L, 3L, 3L, 3L, 4L, 2L, 3L, 3L, 4L, 4L,          3L), DNeighbour = c(0, 210.394169544825, 460.425239949174,          509.351299252664, 536.48945477292, 553.119146675298,          555.194177291284, 555.654768385236, 579.790061403138,          584.484572078182, 723.588421472952, 801.611013804982,          805.840394547978, 866.140225118116, 969.840696774781,          1000.1002405281, 1059.09712094758, 1062.52520213698,          1064.13308037496, 1125.33533900084)), row.names = c("856",      "960", "105", "929", "1000", "164", "350", "844", "36", "230",      "61", "332", "526", "987", "496", "831", "477", "214", "90",      "552"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.931312756153046,      0.693223480156754, 0.632237302206774, 0.59709842694417, 0.575190355340248,      0.57243905077782, 0.571827848057428, 0.539568292022978, 0.533246251277091,      0.344045026909796, 0.242639826690679, 0.237379790953576,      0.166140592660889, 0.066182636784744, 0.0441794379809909,      0.0130546939461714, 0.0117752712945748, 0.0111965556030612,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1534932318 
R squared (OOB):                  0.0503311 

$Forests[[857]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(338000, 330000, 310000,      332000, 330000, 330000, 320000, 310000, 385000, 350000, 365000,      4e+05, 4e+05, 375000, 368000, 450000, 370000, 342000, 390000,      371000), floor_area_sqm = c(103, 104, 104, 104, 105, 105,      107, 104, 90, 107, 91, 90, 100, 100, 100, 93, 92, 105, 91,      91), storey_order = c(4L, 3L, 3L, 3L, 1L, 1L, 1L, 2L, 3L,      3L, 4L, 3L, 5L, 5L, 2L, 4L, 3L, 4L, 2L, 2L), remaining_lease_mths = c(836,      847, 838, 838, 909, 896, 909, 840, 1060, 910, 1061, 953,      923, 935, 937, 950, 922, 822, 956, 957), PROX_CBD = c(18.1853470145009,      18.238428451998, 18.2872060948971, 18.3394484051955, 18.4634083712346,      17.9794873864528, 18.5552891680356, 18.6954685875173, 17.6242343596777,      18.8361111070307, 17.5974072281911, 17.5759295796121, 18.2155576397088,      18.2155576397088, 18.1853912561079, 17.4336546583772, 18.2744201988815,      18.4174433264455, 17.980006840849, 17.630719557776), PROX_ELDERLYCARE = c(1.46334015610348,      1.49823830734066, 1.57361264937598, 1.68689945441126, 1.70649895251479,      1.20397588034421, 1.77696496808422, 1.96536267509963, 0.892136309268664,      2.10089317294022, 0.819477307137174, 1.07156662032258, 1.82774218733134,      1.82774218733134, 1.83831888483507, 0.825709875044437, 1.91030467455468,      2.01990466694452, 1.69038013517483, 1.35614304544574), PROX_HAWKER = c(0.490406092071559,      0.548143788898404, 0.464971900021808, 0.322806547864559,      0.656056303664779, 0.736691454978467, 0.788681622626877,      0.696312293428963, 0.816419857336687, 0.811063273063077,      0.922900854400271, 0.622851592932912, 0.218122417644225,      0.218122417644225, 0.267411626133086, 0.841716009165303,      0.292675997882175, 0.365194571711665, 0.32947027962251, 0.550798352023498     ), PROX_MRT = c(0.888080533877704, 0.950317003394984, 0.870907467758581,      0.722989849955079, 1.05945750202888, 1.05284557964442, 1.18994045686449,      1.06426899086337, 0.729175757939742, 1.15964764660018, 0.830609903675807,      0.449846795062068, 0.24629140143503, 0.24629140143503, 0.186589372260449,      0.463093751675267, 0.25859759791353, 0.394110762668951, 0.131298797620671,      0.481509556817778), PROX_PARK = c(0.741201414908801, 0.690805332809177,      0.791043930625847, 0.845903786092674, 0.707700114575514,      0.555889077383573, 0.662341635279621, 0.939968281858902,      0.830497330619545, 0.99599902820202, 0.751240825934154, 0.650211227804106,      0.449638685926872, 0.449638685926872, 0.431621232177097,      0.609424449579261, 0.366705585759005, 0.305293053539538,      0.597192139646456, 0.706852169587072), PROX_GOOD_PRISCH = c(7.52724739525134,      7.58243576478886, 7.62743554697163, 7.67457853159282, 7.80883552790736,      7.33264137396139, 7.9054148179446, 8.03533881462458, 6.97273607492461,      8.17598486214089, 6.95474206477502, 6.90999703096039, 7.54917724573578,      7.54917724573578, 7.51998659904145, 6.77374769998522, 7.60907430161507,      7.75189187586876, 7.31481473864251, 6.96345421686322), PROX_MALL = c(0.362005799982455,      0.291730094824992, 0.369641594977131, 0.270650184250749,      0.25445476080495, 0.387548928263219, 0.238299753757691, 0.50227152913363,      0.671391539314818, 0.605524804958104, 0.757845794253982,      0.456006423255308, 0.249434383428027, 0.249434383428027,      0.304347432784639, 0.404491618549369, 0.31638525459609, 0.368677515727611,      0.38257003715367, 0.581015113036356), PROX_CHAS = c(0.11010335009361,      0.0811018368302058, 0.000458346083760352, 0.186439783883369,      0.163921847201363, 0.324283073315245, 0.177138384703249,      0.387978032092424, 0.0497500971788425, 0.526621492045347,      0.175468897673469, 0.401255348981324, 0.246283235408848,      0.246283235408848, 0.186582621643492, 0.260153188296123,      0.258594927218762, 0.279695275413424, 0.131281394661179,      0.481496129777697), PROX_SUPERMARKET = c(0.36017462873485,      0.289827711639516, 0.367596841627256, 0.279112228601587,      0.25256410508494, 0.337417678694655, 0.237159648524433, 0.500728516827066,      0.442456788826315, 0.596975645906049, 0.336744227428862,      0.338457664260807, 0.233030240431279, 0.233030240431279,      0.289364184128333, 0.355873580059747, 0.297968471640837,      0.3481604922123, 0.37748716441855, 0.432325009404537), WITHIN_350M_KINDERGARTEN = c(7L,      4L, 6L, 4L, 4L, 2L, 3L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,      1L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(4L, 3L, 4L, 4L,      3L, 3L, 3L, 3L, 2L, 3L, 3L, 5L, 7L, 7L, 7L, 4L, 7L, 7L, 5L,      6L), WITHIN_350M_BUS = c(11L, 10L, 9L, 11L, 12L, 9L, 10L,      8L, 12L, 4L, 6L, 8L, 15L, 15L, 16L, 12L, 17L, 14L, 14L, 8L     ), WITHIN_1KM_PRISCH = c(5L, 4L, 5L, 6L, 4L, 5L, 4L, 5L,      4L, 4L, 4L, 4L, 6L, 6L, 4L, 6L, 5L, 5L, 3L, 4L), DNeighbour = c(0,      80.9612388940025, 109.12163346084, 268.86477215462, 294.029402455244,      303.703309847322, 417.999454513356, 515.750925953298, 578.380488192731,      649.652528306994, 650.781647615261, 671.914124649459, 701.094545156995,      707.229344139118, 754.270015645337, 756.572523773491, 774.014940420991,      790.946050229897, 791.617634808685, 831.637655473615)), row.names = c("857",      "839", "414", "693", "748", "870", "169", "817", "300", "906",      "720", "357", "643", "571", "31", "535", "835", "257", "910",      "547"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98113515992539,      0.965862740942895, 0.801884381388906, 0.765623378699366,      0.751062136604673, 0.558563467044747, 0.37871447648196, 0.266585369004668,      0.151920192177738, 0.150269700786475, 0.120569650190866,      0.0836958440061873, 0.0766239227343124, 0.031472983572796,      0.0297136409110868, 0.0178959197981129, 0.00911354378780113,      0.00882250045448794, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       930990791 
R squared (OOB):                  0.271891 

$Forests[[858]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(395000, 425000, 420000,      450000, 456500, 445000, 436000, 440000, 420000, 435000, 438000,      358000, 418000, 460000, 441000, 450000, 415000, 420000, 430000,      432000), floor_area_sqm = c(94, 94, 94, 94, 92, 94, 92, 92,      92, 92, 94, 93, 92, 92, 93, 93, 92, 92, 92, 92), storey_order = c(4L,      6L, 7L, 7L, 8L, 6L, 7L, 8L, 5L, 2L, 5L, 1L, 6L, 7L, 6L, 9L,      8L, 6L, 6L, 6L), remaining_lease_mths = c(1113, 1119, 1120,      1119, 1144, 1109, 1139, 1142, 1132, 1128, 1076, 1103, 1129,      1125, 1097, 1136, 1140, 1142, 1126, 1137), PROX_CBD = c(11.9744040829633,      11.9828723130509, 12.0119641769274, 12.0119641769274, 11.9527102757424,      12.1122271384014, 12.042332185553, 12.042332185553, 12.042332185553,      12.042332185553, 11.9414743986494, 11.8075546541859, 12.02897658153,      12.02897658153, 11.8078122246038, 12.1741021183779, 12.02897658153,      12.02897658153, 12.0797672032522, 11.9317097346946), PROX_ELDERLYCARE = c(0.738781707341689,      0.710325725805382, 0.673044116243487, 0.673044116243487,      0.819362766143575, 0.629785153682861, 0.786890441142101,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.687500817542951, 0.922118515238085, 0.841755023464642,      0.841755023464642, 0.95260617550949, 0.519600844901231, 0.841755023464642,      0.841755023464642, 0.550577233037288, 0.680106913101551),          PROX_HAWKER = c(0.217370340361849, 0.20448046373977,          0.222580914455278, 0.222580914455278, 0.27814297307049,          0.337796349528525, 0.369655971945997, 0.369655971945997,          0.369655971945997, 0.369655971945997, 0.147098227142532,          0.209140712961875, 0.409616357379742, 0.409616357379742,          0.262687630178652, 0.375471053349032, 0.409616357379742,          0.409616357379742, 0.286867197183981, 0.161367564791002         ), PROX_MRT = c(0.167322140356011, 0.170867756883987,          0.201095784108649, 0.201095784108649, 0.200702114351669,          0.302747284955937, 0.298263347673859, 0.298263347673859,          0.298263347673859, 0.298263347673859, 0.183575431830776,          0.120215557602138, 0.331072457322778, 0.331072457322778,          0.173777829752023, 0.338849049026276, 0.331072457322778,          0.331072457322778, 0.285059794417971, 0.214149342621172         ), PROX_PARK = c(0.679906922269617, 0.697136724289492,          0.691047645736797, 0.691047645736797, 0.643017670933737,          0.576425078157325, 0.542226246468638, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.807374064658721,          0.747098338531098, 0.529446955515876, 0.529446955515876,          0.746013140888617, 0.612679613149166, 0.529446955515876,          0.529446955515876, 0.747342190235743, 0.785212145526225         ), PROX_GOOD_PRISCH = c(2.27223739349538, 2.27447890050516,          2.29976812492723, 2.29976812492723, 2.270018309959, 2.408030235171,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.36724315061599, 2.21615815400514, 2.12338877581429,          2.36775586018775, 2.36775586018775, 2.13533890725473,          2.45580221931744, 2.36775586018775, 2.36775586018775,          2.35145083667271, 2.20126444296921), PROX_MALL = c(0.214069216816763,          0.220402811054307, 0.251262654177611, 0.251262654177611,          0.232344363503357, 0.350899017798137, 0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.22663965361209, 0.119447773727589, 0.358721564938295,          0.358721564938295, 0.17025857997445, 0.416829357908565,          0.358721564938295, 0.358721564938295, 0.356578632219481,          0.255684281538694), PROX_CHAS = c(0.0939357367291076,          0.0995919009989899, 0.131248018016709, 0.131248018016709,          0.146038815472653, 0.0703863092474096, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.156140837156126, 0.11944771257822, 0.25157977989641,          0.25157977989641, 0.170258520163124, 0.0461624602204791,          0.25157977989641, 0.25157977989641, 0.146949814741425,          0.203726500797623), PROX_SUPERMARKET = c(0.22318738818849,          0.230351837454113, 0.261515416493987, 0.261515416493987,          0.237998550380205, 0.360308355053667, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.236998053946951, 0.119571834445138, 0.314501000490003,          0.314501000490003, 0.168966076328732, 0.427183407476201,          0.314501000490003, 0.314501000490003, 0.315486318912089,          0.217804588957955), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(7L, 6L,          6L, 6L, 5L, 7L, 4L, 4L, 4L, 4L, 6L, 4L, 4L, 4L, 4L, 7L,          4L, 4L, 5L, 6L), WITHIN_350M_BUS = c(10L, 7L, 6L, 6L,          12L, 7L, 10L, 10L, 10L, 10L, 8L, 10L, 11L, 11L, 11L,          5L, 11L, 11L, 9L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L), DNeighbour = c(0, 35.4855555679604,          66.5883991806496, 73.6605750451451, 102.222091747473,          136.001826414345, 160.066314897796, 160.527223950101,          162.198838561171, 163.170840025495, 173.435455029163,          182.73477423444, 212.118867957956, 213.94941154701, 216.872711755518,          217.115307613136, 217.74066711751, 218.376477079998,          218.851160285525, 227.88575853035)), row.names = c("858",      "203", "167", "947", "749", "607", "573", "16", "634", "908",      "781", "724", "700", "874", "439", "621", "287", "318", "900",      "392"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.952092736476206,      0.836527360938167, 0.801954917630246, 0.638061322453793,      0.41451941901696, 0.256682262600838, 0.253807233045194, 0.24344825166032,      0.237475774617635, 0.177058223413168, 0.127452109502908,      0.0178458752098968, 0.0140588476891908, 0.0088959981132144,      0.00851767634442301, 0.00757853152172334, 0.0066773929707405,      0.00604021834107206, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       498804985 
R squared (OOB):                  0.05869377 

$Forests[[859]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(342000, 295000, 338000,      358000, 340000, 3e+05, 410000, 358000, 370000, 334008, 447888,      443000, 462000, 345000, 445000, 459000, 585000, 335000, 455000,      382000), floor_area_sqm = c(106, 84, 104, 103, 103, 84, 101,      104, 102, 103, 93, 93, 93, 90, 93, 93, 91, 102, 99, 93),          storey_order = c(3L, 4L, 2L, 4L, 3L, 2L, 3L, 4L, 3L,          2L, 5L, 5L, 5L, 5L, 4L, 4L, 10L, 4L, 2L, 1L), remaining_lease_mths = c(822,          804, 818, 815, 819, 796, 936, 815, 927, 917, 1137, 1134,          1134, 937, 1133, 1138, 995, 940, 951, 1111), PROX_CBD = c(13.4005544783984,          13.4836212956012, 13.540845499052, 13.3358607953132,          13.4421606987754, 13.0363382428153, 13.8911800577968,          14.0960645211931, 14.12564920201, 14.2719972222741, 14.1475961545785,          14.1475961545785, 14.1475961545785, 14.2787185061121,          14.1149653809405, 14.1715462602585, 14.2059144167977,          14.4474740114555, 14.3012013074868, 14.29200158436),          PROX_ELDERLYCARE = c(1.97051284494128, 1.90290557072286,          2.00347240504871, 1.82755511634294, 2.21821379350418,          2.32849407054544, 1.40411939431899, 1.70531999087377,          1.44816412197145, 1.50921581969441, 2.03155968851809,          2.03155968851809, 2.03155968851809, 1.77826193055387,          2.12564955085825, 2.09595649451453, 0.923774065318005,          1.50338082315219, 0.93663965535868, 2.00367987562091),          PROX_HAWKER = c(0.12929497730436, 0.2119534509789, 0.326481146247567,          0.304539750383927, 0.414492581023045, 0.273412421583494,          0.687446499339865, 0.845358517598031, 0.778468578249857,          0.684102697062058, 1.0452124348096, 1.0452124348096,          1.0452124348096, 0.865181709866835, 1.06810792734919,          1.11030496241672, 0.829910539202106, 0.588144724666333,          0.693090021451824, 1.05572120633707), PROX_MRT = c(0.190014195795526,          0.193711088781655, 0.080163548628182, 0.127895121346052,          0.190553770403229, 0.403045881609603, 0.241174931861397,          0.217341234217998, 0.476637705223286, 0.347262283963267,          0.206896355650083, 0.206896355650083, 0.206896355650083,          0.14195902454703, 0.282489779359316, 0.236487582928319,          0.127617925270923, 0.224566301285939, 0.189883903502813,          0.129588785375857), PROX_PARK = c(0.588173355458052,          0.646728518696572, 0.80961064190221, 0.385477438930733,          0.89429546385096, 0.517161111062201, 0.90249149706597,          1.27300714898888, 1.20701221478007, 1.38760566459916,          1.52292224478236, 1.52292224478236, 1.52292224478236,          1.51686048726609, 1.55223981690243, 1.59201213147604,          0.716522496183652, 1.55939681176166, 0.812876767906526,          1.659682039687), PROX_GOOD_PRISCH = c(4.50146177611143,          4.5626858677187, 4.71745369301481, 4.27184313218833,          4.75420572996722, 4.29037325314161, 4.74545729482833,          5.17863906457975, 5.06260566207177, 5.26118802945754,          5.43570837857945, 5.43570837857945, 5.43570837857945,          5.42826997650874, 5.45814117537329, 5.50129862889456,          4.85056771881294, 5.45861643017911, 4.98177209241419,          5.57470277830303), PROX_MALL = c(0.610989928852924, 0.551151307820263,          0.403528889272069, 0.761223886000054, 0.472918799427377,          0.898390579507312, 0.267645090747045, 0.243284841315127,          0.287395381957405, 0.108121271181015, 0.329425359540921,          0.329425359540921, 0.329425359540921, 0.338911837083335,          0.377565489031552, 0.405991175981987, 0.148456555084967,          0.12145856762689, 0.236735170365795, 0.462705775504015         ), PROX_CHAS = c(0.158416400393545, 0.229483689413426,          0.253510567884045, 0.267020330020893, 0.291197842200049,          0.170237474205233, 0.241761013919413, 0.132339190026647,          0.182188888557241, 0.108121286081234, 0.188783823394846,          0.188783823394846, 0.188783823394846, 0.18872293939054,          0.179884741524278, 0.12657377242065, 0.148456588323488,          0.121458549123021, 0.214782230853987, 0.0888572682655253         ), PROX_SUPERMARKET = c(0.139889213791387, 0.191700628396676,          0.1865280595431, 0.442772380644983, 0.249308161339926,          0.322492439389486, 0.315435463566428, 0.226949559622758,          0.277268812686258, 0.105248463653719, 0.235757849482592,          0.235757849482592, 0.235757849482592, 0.188722783027928,          0.299769914037237, 0.248308073473709, 0.154204342539502,          0.134916350552101, 0.172194506074768, 0.124391003677116         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 1L, 2L, 1L, 2L,          1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 5L, 5L, 2L, 2L, 3L,          3L, 7L, 3L, 4L, 6L, 6L, 6L, 6L, 6L, 5L, 7L, 5L, 6L, 5L         ), WITHIN_350M_BUS = c(10L, 12L, 11L, 9L, 6L, 4L, 15L,          9L, 10L, 10L, 6L, 6L, 6L, 8L, 5L, 5L, 17L, 11L, 15L,          5L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 3L, 4L, 3L, 5L,          5L, 5L, 5L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 5L, 3L, 4L),          DNeighbour = c(0, 91.1241734171936, 226.33417973397,          312.268354953977, 372.517577768809, 384.790115091535,          581.785636331635, 723.506382214486, 729.568538532995,          873.103942230658, 937.963666636418, 938.130739733266,          941.199622321048, 947.938406093573, 972.595195250486,          1012.42212532619, 1049.75204417254, 1064.58255439498,          1070.64598503672, 1079.30681719158)), row.names = c("859",      "681", "617", "475", "123", "62", "599", "880", "703", "381",      "623", "966", "207", "329", "519", "277", "146", "826", "717",      "989"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.985794493142379,      0.913982910261378, 0.839591331361474, 0.77594038545571, 0.761948062812343,      0.50330480761764, 0.303203860691439, 0.294933387845224, 0.119440643920462,      0.0599098348691524, 0.0597781876623674, 0.0573816993482611,      0.0522654609661939, 0.0353310867344023, 0.0144239627373964,      0.00291776904612407, 0.000734331540092462, 0.000255503830532537,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4194492357 
R squared (OOB):                  0.1793237 

$Forests[[860]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(403500, 380000, 382000,      580000, 548888, 520000, 540000, 565000, 575000, 580000, 495000,      390000, 510000, 376000, 426888, 475000, 430000, 388000, 460000,      505000), floor_area_sqm = c(90, 90, 86, 92, 92, 92, 93, 92,      92, 92, 93, 90, 93, 102, 92, 90, 92, 90, 92, 90), storey_order = c(5L,      4L, 2L, 4L, 2L, 1L, 4L, 3L, 4L, 4L, 3L, 5L, 3L, 5L, 1L, 5L,      1L, 1L, 5L, 6L), remaining_lease_mths = c(965, 973, 989,      1134, 1130, 1138, 1075, 1127, 1137, 1140, 1076, 978, 1076,      944, 1141, 1031, 1134, 956, 1136, 1033), PROX_CBD = c(12.0682850666201,      11.9491294576901, 12.3082954752684, 11.7494815193957, 11.7494815193957,      11.6952918230505, 11.8019303594103, 11.6525204845234, 11.6525204845234,      11.6525204845234, 11.7824349405223, 12.4059518996545, 11.734228152501,      11.9885535057438, 12.5841594105866, 11.780035597066, 12.5852639843962,      12.6254404323309, 12.5778468618744, 11.6571985599938), PROX_ELDERLYCARE = c(0.36227142211874,      0.351349913726565, 0.583230122785789, 0.0736890817471424,      0.0736890817471424, 0.0818897866131208, 0.184707688528033,      0.090696724945174, 0.090696724945174, 0.090696724945174,      0.213047345375207, 0.404564014080405, 0.217445500321488,      0.468647269590137, 0.419823195233641, 0.389019901488026,      0.3637938018331, 0.92626814118798, 0.25879478544564, 0.400746835300904     ), PROX_HAWKER = c(0.732401821736703, 0.693645859237657,      0.732610931237137, 0.418792449609449, 0.418792449609449,      0.374319678668878, 0.425288384889406, 0.325622570567264,      0.325622570567264, 0.325622570567264, 0.411134055372247,      0.551023632791116, 0.366555491930585, 0.661637750611862,      0.512822421809829, 0.475091880549249, 0.45815519033126, 1.13552097839855,      0.361759384229333, 0.38372613736418), PROX_MRT = c(0.353072027979069,      0.207404211118571, 0.348338435446781, 0.183595482094196,      0.183595482094196, 0.18359152527436, 0.341923672362566, 0.219824289848129,      0.219824289848129, 0.219824289848129, 0.323171872402698,      0.467412150427879, 0.276453864170284, 0.253577460439113,      0.285300897266269, 0.149757666469573, 0.305105021876954,      0.252582104498609, 0.325317058740364, 0.187661086924798),          PROX_PARK = c(1.2554933111164, 1.42337349535551, 1.248380402738,          1.25382465781663, 1.25382465781663, 1.23082333360032,          1.09015045463689, 1.18955170998222, 1.18955170998222,          1.18955170998222, 1.04913519120928, 1.06942514246801,          1.00928973198994, 0.965214735166117, 1.05356492524152,          0.915827670442916, 0.998305920751222, 0.682542858399859,          0.898636927133822, 0.822874314333037), PROX_GOOD_PRISCH = c(2.66094910730305,          2.48771655129493, 2.82059786507503, 2.40225451049103,          2.40225451049103, 2.35260315569007, 2.57167610218627,          2.3279627535371, 2.3279627535371, 2.3279627535371, 2.5757070458522,          2.85954585658161, 2.54247396470066, 2.84793008582659,          3.04090040576321, 2.67648686403773, 3.02473222579279,          3.31643945338342, 2.98751376551561, 2.58492752090912),          PROX_MALL = c(0.424043071559413, 0.591401580344059, 0.312386349772529,          0.730910693989521, 0.730910693989521, 0.785373664552542,          0.70263709534569, 0.807719243520252, 0.807719243520252,          0.807719243520252, 0.732391369928616, 0.423524868376446,          0.781937846313192, 0.581599658792334, 0.39575302739997,          0.657761426948524, 0.450387082903272, 0.289170330853986,          0.550769417999913, 0.718523422751835), PROX_CHAS = c(0.0850792531740411,          0.136369833447508, 0.200650927390068, 0.105514964386053,          0.105514964386053, 0.141926234339659, 0.144895120017984,          0.162428164506486, 0.162428164506486, 0.162428164506486,          0.182294192745256, 0.187639553192951, 0.203102352137365,          0.0548782345589675, 0.369996201265779, 0.165734916528407,          0.324614821605945, 0.248410865511824, 0.236995708134403,          0.162236141473446), PROX_SUPERMARKET = c(0.0850782630125017,          0.234851160706955, 0.200651971059786, 0.100761764224213,          0.100761764224213, 0.137537075296593, 0.149354766345577,          0.158766807317564, 0.158766807317564, 0.158766807317564,          0.186528474083994, 0.375814638453933, 0.206717744357565,          0.41771106664497, 0.385003628727568, 0.328761363845442,          0.389269910824952, 0.298638993269614, 0.299832635957983,          0.248678179468178), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 1L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(5L, 6L,          4L, 5L, 5L, 4L, 7L, 4L, 4L, 4L, 8L, 4L, 8L, 6L, 4L, 9L,          4L, 8L, 5L, 8L), WITHIN_350M_BUS = c(12L, 12L, 8L, 14L,          14L, 13L, 13L, 11L, 11L, 11L, 11L, 10L, 10L, 14L, 10L,          8L, 11L, 12L, 8L, 9L), WITHIN_1KM_PRISCH = c(7L, 7L,          6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 5L, 5L, 7L, 5L, 6L,          4L, 6L, 4L, 5L), DNeighbour = c(0, 190.586750940875,          288.981968762122, 316.372788169077, 317.437583439489,          377.034045817639, 398.013082921171, 415.476271388506,          416.625203382181, 416.974398525863, 437.615229142442,          454.731292777225, 479.16978165391, 524.233365983822,          582.697941613083, 589.086725332037, 606.886710297344,          662.444782753227, 663.317195109719, 664.652594454639)), row.names = c("860",      "175", "231", "281", "808", "917", "342", "557", "580", "792",      "260", "138", "409", "486", "868", "263", "180", "111", "355",      "977"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.842313688412704,      0.657657269786053, 0.598188775508057, 0.595827992639709,      0.459969623955393, 0.411399254251836, 0.37118111627025, 0.368548836060449,      0.367749226371718, 0.320915075580309, 0.282938669160133,      0.230645882257119, 0.142808725920376, 0.0535482705022441,      0.045992502325077, 0.0276454466598378, 4.3989682343936e-05,      1.61146133930111e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       611097931 
R squared (OOB):                  0.8907569 

$Forests[[861]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 410000, 425000,      420000, 390000, 380000, 478000, 423800, 415000, 390000, 415000,      399000, 4e+05, 440000, 365000, 410000, 395000, 405000, 485000,      355000), floor_area_sqm = c(103, 104, 104, 105, 103, 105,      104, 104, 104, 102, 103, 102, 91, 104, 103, 84, 103, 106,      104, 84), storey_order = c(2L, 2L, 3L, 2L, 1L, 1L, 5L, 2L,      2L, 2L, 2L, 3L, 1L, 3L, 1L, 4L, 4L, 2L, 3L, 3L), remaining_lease_mths = c(764,      761, 747, 787, 773, 775, 770, 756, 760, 763, 768, 766, 783,      752, 757, 814, 772, 778, 823, 804), PROX_CBD = c(12.3243460542753,      12.2901811097239, 12.4246534304877, 12.7549887608908, 11.9179556382635,      12.8173662852819, 11.927322045494, 11.7174653186763, 11.6914583773846,      11.6387779682198, 13.0537205387581, 13.0078000734933, 11.4963900230166,      13.1913836000948, 13.0970803497533, 12.8927390133383, 13.1724132817366,      13.2146489403719, 12.533007335037, 13.01786092695), PROX_ELDERLYCARE = c(0.362207242709056,      0.180150537957213, 0.223353489993969, 0.556485595404089,      0.757050983431463, 0.548539301056628, 0.77464979732367, 0.74375074589335,      0.736997311630605, 0.792216801753581, 0.569472877275307,      0.748101088186933, 0.672630859926948, 0.779182108791446,      0.830352740740998, 0.702153634905252, 0.906244923447749,      0.392334185262972, 0.635175801858358, 0.807586217367385),          PROX_HAWKER = c(0.290415492755609, 0.155357947035291,          0.283538945902673, 0.627642822312809, 0.581821713307667,          0.687183343617196, 0.445987433628815, 0.5637831570093,          0.558671781535233, 0.61454926069889, 0.963287544217337,          0.90031621758677, 0.804785607263954, 1.05769292681279,          0.973651338137405, 0.876276656944215, 1.03184370064912,          1.1504484389926, 0.80610763907972, 0.976719939584195),          PROX_MRT = c(0.559245805822074, 0.729338839878115, 0.694199692700576,          0.561554903993597, 0.401552834915971, 0.607087114668938,          0.493642118682657, 0.162940637784707, 0.140110279979828,          0.0844107562606101, 0.551410176707671, 0.513893198964272,          0.132306565433056, 0.577154139562059, 0.602819058882962,          0.279401054335897, 0.712767869041386, 0.530339592860526,          0.317839503016409, 0.343251427728879), PROX_PARK = c(1.218970746516,          1.26762597166046, 1.19561442246869, 1.16122098497616,          1.26489639581012, 0.953457314885518, 1.17760662255222,          1.5229705853841, 1.50772581466401, 1.51709061898346,          0.974634241933185, 0.842333894517479, 1.41209410927924,          1.12092772213378, 0.879464356596765, 0.620470631841848,          0.94305137750942, 0.763919329225246, 0.503650356541676,          0.656436399769765), PROX_GOOD_PRISCH = c(0.889618707353532,          0.992456269301591, 1.09898709469432, 1.29435567579286,          0.374797987706521, 1.5016146113424, 0.289303568244907,          0.440184840714675, 0.476923220580037, 0.453346371612442,          1.48818847749708, 1.72660166123773, 0.364349890680966,          1.6842887316892, 1.76550469910092, 1.774803188623, 1.76071721252525,          1.57814209766337, 1.74800143577954, 1.85318585541752),          PROX_MALL = c(0.471904090765479, 0.649064194608972, 0.626909601034773,          0.542723135774117, 0.498039402667872, 0.635314033644823,          0.376851773239706, 0.750703947848918, 0.797799046209296,          0.815834004295584, 0.593340478429386, 0.5620231960968,          0.844787863205902, 0.813382909306435, 0.655283448157635,          0.322264379768498, 0.808064657998832, 0.655287065425073,          0.260189306400009, 0.400117032043626), PROX_CHAS = c(0.193597629002809,          0.128297543182753, 0.221655673315632, 0.144180959238343,          0.258806234431974, 0.149554006756045, 0.339292519878925,          4.64133788220832e-08, 0.0474151678735614, 0.0804697697946077,          0.203693673714882, 1.4078617678234e-08, 0.0697008731150885,          0.19044114280624, 0.10733838099953, 0.241407331054591,          0.253073540027742, 0.358071114142678, 0.227429082883153,          0.191102980152323), PROX_SUPERMARKET = c(0.331501685351864,          0.159863951308791, 0.209750471448386, 0.150188458093997,          0.542179538393358, 0.14719471752053, 0.405378875546255,          0.609798994765399, 0.635527990773791, 0.596048194106483,          0.349948262987797, 0.0851968725918189, 0.441950593919319,          0.190441743522314, 0.176189281490626, 0.234452518543083,          0.263318229535236, 0.384538867225359, 0.260187243864149,          0.230446816430876), WITHIN_350M_KINDERGARTEN = c(2L,          4L, 2L, 2L, 0L, 3L, 0L, 0L, 0L, 0L, 2L, 2L, 0L, 3L, 1L,          2L, 1L, 2L, 1L, 3L), WITHIN_350M_CHILDCARE = c(4L, 5L,          5L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 2L, 2L, 4L, 1L, 4L,          3L, 3L, 3L, 2L), WITHIN_350M_BUS = c(4L, 3L, 4L, 7L,          7L, 5L, 9L, 5L, 6L, 6L, 8L, 6L, 8L, 8L, 4L, 4L, 6L, 9L,          7L, 5L), WITHIN_1KM_PRISCH = c(6L, 5L, 5L, 5L, 3L, 5L,          4L, 3L, 3L, 3L, 6L, 4L, 3L, 5L, 4L, 4L, 4L, 6L, 3L, 4L         ), DNeighbour = c(0, 176.487944612491, 216.18591788812,          441.985449595453, 516.758111203435, 614.159264208088,          626.43493276717, 631.89994879615, 643.804028796955, 698.560716611629,          734.365619822941, 831.179255138926, 867.495756448751,          868.451560041762, 875.975615883762, 893.97329940805,          900.457340377863, 945.18094925544, 959.730646194405,          960.510782286239)), row.names = c("861", "518", "186",      "215", "63", "523", "666", "941", "274", "522", "541", "103",      "151", "229", "597", "493", "225", "511", "758", "789"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.933616257797192, 0.901249729419344, 0.621347257955568,      0.504884559139433, 0.349465530876816, 0.330221485850786,      0.321710301255532, 0.303308692557344, 0.221900484739118,      0.172600358104418, 0.0630849250545462, 0.0339666513993629,      0.0333069720359972, 0.0283166112311221, 0.01788833736249,      0.0146738710237878, 0.00100270035997979, 2.63659505598787e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1033989348 
R squared (OOB):                  -0.01854985 

$Forests[[862]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(3e+05, 280000, 398000,      365000, 355000, 308000, 310000, 350000, 395000, 380000, 380000,      375000, 380000, 368000, 350000, 368888, 412000, 390000, 390000,      370000), floor_area_sqm = c(85, 84, 104, 103, 104, 84, 84,      93, 93, 108, 92, 104, 93, 92, 92, 92, 92, 92, 93, 92), storey_order = c(4L,      4L, 3L, 4L, 2L, 1L, 2L, 1L, 4L, 2L, 2L, 1L, 3L, 2L, 1L, 2L,      3L, 4L, 3L, 1L), remaining_lease_mths = c(798, 809, 823,      805, 785, 779, 787, 1111, 1108, 807, 1142, 808, 1110, 1100,      1111, 1102, 1128, 1142, 1113, 1090), PROX_CBD = c(14.6468242567931,      14.5514247745221, 14.4215550437188, 14.5082496767788, 14.7946380504301,      14.8104288104214, 14.7686155241139, 14.6221320584002, 14.6649260398624,      14.3069689320192, 14.4940333615496, 14.2674761918172, 14.607628567626,      14.9752079088984, 14.8482953663728, 14.8482953663728, 14.5596883563906,      14.5596883563906, 14.6879879340018, 15.0414874321427), PROX_ELDERLYCARE = c(0.791783477476035,      0.934928905143492, 0.933706769700102, 1.0960579077266, 1.02543356664281,      1.14385816982861, 1.18091019396193, 0.410896008057539, 0.374463671675583,      1.30284795398611, 0.500918112427577, 1.37520258101488, 0.363539264939185,      0.199763345782594, 0.157028625587627, 0.157028625587627,      0.399519357429504, 0.399519357429504, 0.267910637295867,      0.180026828914976), PROX_HAWKER = c(0.771377618176498, 0.920905853639359,      0.964097104531415, 1.06968967826483, 0.927587772885235, 1.03493347869974,      1.07995965555937, 0.55845452984231, 0.515424723672587, 1.30042856091519,      0.682637638745144, 1.3725902814614, 0.571839614015762, 0.202333554334061,      0.332945546865787, 0.332945546865787, 0.625641729464286,      0.625641729464286, 0.507741768149319, 0.135868389364205),          PROX_MRT = c(0.834242720427877, 0.702240402731505, 0.766580328668093,          0.541381135472874, 0.635923545376501, 0.547659244513397,          0.495669019430354, 1.30119397664661, 1.31347134818138,          0.431073100471927, 1.32800225952209, 0.392323251912074,          1.42703012637354, 1.27457972333389, 1.41585626072206,          1.41585626072206, 1.46473462254762, 1.46473462254762,          1.51619569366002, 1.27219969611937), PROX_PARK = c(0.572284771964545,          0.717751277212032, 0.786856267919922, 0.854937524579578,          0.687013904416796, 0.79060261488636, 0.837021679605882,          0.524601749565547, 0.48594234877488, 0.87843358408359,          0.65941869562705, 0.808406007535371, 0.592644125813336,          0.259935562114549, 0.40224168015695, 0.40224168015695,          0.656743209310805, 0.656743209310805, 0.573128508978659,          0.270313948020077), PROX_GOOD_PRISCH = c(5.17213285521296,          5.05486565817651, 4.94298421634201, 4.9821455258424,          5.2635668385575, 5.2589313064801, 5.21242267662931, 5.26427170666348,          5.30673314037113, 4.7599521059868, 5.15263130971644,          4.71060068854172, 5.28617698570013, 5.6171537261999,          5.51627049340211, 5.51627049340211, 5.25302892838613,          5.25302892838613, 5.38500296681299, 5.69200203864946),          PROX_MALL = c(0.253080993480643, 0.264439990658005, 0.158055972255249,          0.395836928017505, 0.540570027720398, 0.641907311269237,          0.644074766251318, 0.412850725186958, 0.439421746266814,          0.530519583310388, 0.407798057490129, 0.598720745421956,          0.523782484457491, 0.689421511186311, 0.649229394533883,          0.649229394533883, 0.550646738699849, 0.550646738699849,          0.626246838364162, 0.767711199656331), PROX_CHAS = c(0.118994056415591,          0.0412741280494288, 0.110909163864147, 0.111998728732921,          0.151656769473437, 0.273160540123658, 0.305551557127515,          0.0938393111767789, 0.0969357032130768, 0.141608811196257,          0.0559452214520875, 0.0989632897848068, 0.198893245072118,          0.230775629929228, 0.274130336331615, 0.274130336331615,          0.19650938121062, 0.19650938121062, 0.160113448728027,          0.163757574589084), PROX_SUPERMARKET = c(0.246822057901315,          0.259076961683863, 0.155031856949385, 0.321173728185784,          0.505826018716947, 0.406551385550075, 0.397697747354111,          0.0938384818523742, 0.0969351949685631, 0.179396317901182,          0.202112654374605, 0.13781747249929, 0.223766299699327,          0.264202614673064, 0.296829834724774, 0.296829834724774,          0.27843134046436, 0.27843134046436, 0.300165340388346,          0.197268674737732), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 2L, 0L, 3L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 4L,          3L, 4L, 5L, 2L, 3L, 6L, 6L, 7L, 4L, 7L, 4L, 4L, 5L, 5L,          3L, 3L, 6L, 4L), WITHIN_350M_BUS = c(9L, 7L, 10L, 8L,          8L, 7L, 8L, 9L, 8L, 7L, 9L, 6L, 7L, 9L, 9L, 9L, 7L, 7L,          7L, 9L), WITHIN_1KM_PRISCH = c(3L, 2L, 2L, 3L, 3L, 4L,          3L, 4L, 4L, 3L, 3L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 3L         ), DNeighbour = c(0, 149.747881880778, 232.337298469643,          301.930096923394, 310.13503725873, 423.936006412259,          445.647937580655, 486.336383048038, 487.276364374329,          524.675932568467, 550.326428667724, 600.691524970792,          611.422036789885, 629.805577657746, 647.240938248259,          650.575430742268, 662.170782338594, 667.010935292888,          692.703023851352, 699.939316859737)), row.names = c("862",      "253", "546", "884", "424", "396", "101", "324", "17", "341",      "702", "377", "452", "558", "762", "195", "961", "163", "469",      "793"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.910550933473969,      0.791773165205405, 0.662471111206665, 0.645889668066632,      0.400888221299639, 0.353572161790792, 0.2675125357396, 0.265583670964597,      0.191928803633498, 0.145781066038289, 0.0694237782373721,      0.0561383088296506, 0.0362367378363298, 0.020999278212329,      0.0185172200819137, 0.0110266384898447, 0.00844120860319986,      0.000423126202483575, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1086656444 
R squared (OOB):                  0.1490912 

$Forests[[863]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(5e+05, 520000, 460000,      465000, 485000, 440000, 403000, 430000, 460000, 4e+05, 490000,      510000, 432000, 455000, 545000, 535000, 520000, 455000, 532000,      498000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 92, 92,      92, 92, 95, 92, 93, 93, 93, 93, 93, 92, 96, 93), storey_order = c(6L,      5L, 3L, 5L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 3L, 5L, 5L, 5L, 4L,      4L, 4L, 4L, 2L), remaining_lease_mths = c(1137, 1147, 1138,      1097, 1147, 1142, 1138, 1128, 1137, 1131, 1111, 1136, 1129,      1138, 1127, 1118, 1118, 1133, 1111, 1102), PROX_CBD = c(13.7068457080251,      13.7003463440691, 13.8880322509317, 13.8110145095205, 13.9293604468603,      13.9713915856932, 13.9348601041022, 13.983033341901, 13.9481332653994,      13.9748767742628, 13.7780295697528, 14.0250110126613, 13.4495242740615,      13.5153222954464, 13.8964286142315, 13.8964286142315, 13.7912064237251,      13.5263069451707, 13.8842234613226, 13.8269911518463), PROX_ELDERLYCARE = c(0.409751638237597,      0.434917902994305, 0.250782943854859, 0.2424730747692, 0.234065981952779,      0.226595382415433, 0.122633260073778, 0.0819455196406728,      0.108372417523696, 0.0869602171534455, 0.24280876806526,      0.0392522324995346, 0.226392675254826, 0.128038783583345,      0.28821019895416, 0.28821019895416, 0.194902312085005, 0.13293861465481,      0.284905700992106, 0.272443342502121), PROX_HAWKER = c(1.09574216637781,      1.07570104527527, 0.989318285046145, 0.93957565430704, 0.970053791291438,      0.954180271331751, 0.848294615942255, 0.818439961244233,      0.783686601130967, 0.759405218095962, 0.855348356505915,      0.732915378457501, 1.13086059974118, 1.06471945671836, 0.700607063348248,      0.700607063348248, 0.761066408094757, 1.0232116664491, 0.667389882084889,      0.718894335359525), PROX_MRT = c(0.23189639897339, 0.256932190523524,      0.0905698875540676, 0.110074032088272, 0.101292979723356,      0.128817306959056, 0.066674836544346, 0.0961191462833423,      0.146013494832411, 0.16215489673441, 0.290902656750774, 0.179377644983316,      0.537207200764636, 0.531733722241289, 0.214342865325431,      0.214342865325431, 0.263976344610204, 0.529059791722705,      0.172676244118343, 0.250191496834268), PROX_PARK = c(1.30108171005294,      1.30953091682666, 1.13098813526459, 1.12286028608686, 1.10248671215858,      1.07610116952693, 1.01289159319472, 0.973290645087517, 0.964943529987853,      0.93793434477989, 1.08412864631293, 0.898948825756494, 1.14705623529365,      1.12627074536918, 0.945155408432775, 0.945155408432775, 1.03946212768551,      1.00320858387115, 0.946790994443363, 1.00953333913803), PROX_GOOD_PRISCH = c(4.11427377683663,      4.10033714204368, 4.29841605508598, 4.2580170038876, 4.33684280477295,      4.37541592083903, 4.3780728039611, 4.42376284483209, 4.41058426346667,      4.4381077472328, 4.27934963146811, 4.48326906164864, 3.97306691053722,      4.05859518452173, 4.42474408393319, 4.42474408393319, 4.37243865161908,      4.12550653324601, 4.46427355245829, 4.43409233459216), PROX_MALL = c(0.786897805640679,      0.816725098938654, 0.648384322611893, 0.585854127158584,      0.634323955575517, 0.625072347077181, 0.500682206465503,      0.475935346664486, 0.431747484707969, 0.408666125180857,      0.507308338763366, 0.387952579177684, 0.817008429043632,      0.741140095950697, 0.36232957329041, 0.36232957329041, 0.47180896375681,      0.734460127270614, 0.384398044205003, 0.464449368072494),          PROX_CHAS = c(0.0683167852462459, 0.0738696133860389,          0.0495611607390083, 0.123846030022364, 0.0456516508281062,          0.0752462089475253, 3.70448785353559e-08, 0.0483941894268844,          0.0812590805558053, 0.0955424375353944, 0.246000912873009,          0.116095717847762, 0.142936854782623, 0.0484693686848179,          0.190952462752685, 0.190952462752685, 3.14247486029477e-08,          0.164485608616764, 0.0936868185767241, 0.093713435160417         ), PROX_SUPERMARKET = c(0.0683172333971998, 0.0738703098972174,          0.0495614942866338, 0.157551778944521, 0.04565204632056,          0.0752464841458058, 0.112910168339451, 0.123899374628808,          0.194128300134642, 0.205979542456043, 0.271122867675942,          0.21237786594893, 0.417643104955167, 0.321659607097496,          0.190953240917096, 0.190953240917096, 8.52808058992138e-07,          0.265115106421715, 0.093687407280864, 0.0937132175773042         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 0L, 1L,          2L, 2L, 2L, 2L, 1L, 2L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 3L, 3L, 4L, 5L,          5L, 4L, 3L, 4L, 4L, 5L, 3L, 4L, 4L, 4L, 4L, 5L, 3L, 5L         ), WITHIN_350M_BUS = c(14L, 13L, 11L, 12L, 11L, 11L,          11L, 11L, 7L, 6L, 9L, 9L, 5L, 6L, 9L, 9L, 8L, 2L, 7L,          8L), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 4L, 6L, 4L, 4L, 5L, 5L, 5L, 5L, 6L, 5L, 5L),          DNeighbour = c(0, 40.7886056051224, 185.485049045504,          206.90281037446, 221.62575776405, 266.853182439869, 290.289889413068,          319.703984217133, 347.619075347932, 371.818603226579,          381.582615511921, 405.520696171155, 479.811830800769,          512.955839346379, 523.129130518201, 523.300440975821,          656.126837898102, 677.49293981524, 685.098525327387,          748.465607697629)), row.names = c("863", "616", "662",      "645", "21", "361", "356", "710", "34", "690", "282", "8",      "988", "183", "442", "760", "420", "779", "670", "376"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.994069126762963, 0.880941891421334, 0.853005851309733,      0.832329172050512, 0.761926039863626, 0.721777620921241,      0.668382142240948, 0.615116084041473, 0.567333030669832,      0.547723930223501, 0.4990713498042, 0.346969622653544, 0.281223025016967,      0.261621269495193, 0.261294018612097, 0.053602053595172,      0.0326368824050458, 0.0262950668496506, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1220499693 
R squared (OOB):                  0.3504298 

$Forests[[864]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(288000, 320000, 295000,      320000, 312000, 336000, 338000, 330000, 315000, 295000, 330000,      305000, 315000, 345000, 350000, 313000, 388000, 365000, 339000,      349000), floor_area_sqm = c(84, 84, 84, 104, 101, 102, 102,      103, 103, 101, 115, 99, 102, 102, 102, 99, 92, 92, 102, 103     ), storey_order = c(3L, 4L, 4L, 4L, 2L, 3L, 4L, 1L, 2L, 1L,      1L, 1L, 2L, 4L, 4L, 4L, 1L, 1L, 3L, 2L), remaining_lease_mths = c(893,      885, 875, 893, 933, 916, 922, 928, 926, 917, 898, 921, 913,      926, 923, 918, 1134, 1135, 923, 832), PROX_CBD = c(18.3632948597919,      18.3433564216417, 18.4249149071789, 18.4249149071789, 18.4625985868209,      18.5506225538857, 18.1611534549189, 18.5768909080638, 18.5458637520931,      18.4986491838169, 18.4399301385868, 17.9733391318796, 17.9994058772431,      18.236688278315, 18.0569924715364, 17.8728040148932, 17.8160591469996,      17.8160591469996, 17.9456645257603, 18.0642207733449), PROX_ELDERLYCARE = c(0.645296274244347,      0.623669944895056, 0.705240184131779, 0.705240184131779,      0.765079897684544, 0.859723249528503, 0.519233937445895,      0.912532633143698, 0.890661700747245, 0.86418951980865, 0.789710764787337,      0.376016337241346, 0.430537495183344, 0.732088251039709,      0.59750504274373, 0.330981516384048, 0.101440000613482, 0.101440000613482,      0.476454782767532, 0.558648465009425), PROX_HAWKER = c(0.921741667576702,      0.960648791795978, 1.0161652570538, 1.0161652570538, 0.906262708365532,      0.958117298193611, 0.617364695979906, 0.935860141611343,      0.898999046399804, 0.838043969781633, 1.26661829972954, 0.501520555884575,      0.472244893923117, 0.537987121264097, 0.391180253405874,      0.446535534086157, 0.755409785256781, 0.755409785256781,      0.3648710200987, 1.20831273824173), PROX_MRT = c(0.927224403125457,      0.899458799363821, 0.906393011935236, 0.906393011935236,      0.897303014326537, 0.942174684471822, 0.623413162025338,      0.912233851204259, 0.87509641959225, 0.812751343363136, 0.715824290886542,      0.52882455357406, 0.492638498779759, 0.511061821383635, 0.384524332485438,      0.4868918768976, 0.729659889526201, 0.729659889526201, 0.385567417899789,      0.387700307898407), PROX_PARK = c(1.22890358268929, 1.17596756648915,      1.13759587953072, 1.13759587953072, 1.31620863428189, 1.32670572464855,      1.52418818882418, 1.41172869826724, 1.4387346144793, 1.49181484955502,      0.859791414716402, 1.62685700377268, 1.65421298847909, 1.7164330470264,      1.77011013021076, 1.69875568186822, 1.49250729308795, 1.49250729308795,      1.76180373116006, 1.04306097562022), PROX_GOOD_PRISCH = c(8.96505409295358,      8.95760590087653, 9.03817471771729, 9.03817471771729, 9.04019528068803,      9.12094588228633, 8.72758527833631, 9.13217936844248, 9.09837600782165,      9.04519470993137, 9.10971468714541, 8.54142359534323, 8.5589292690065,      8.76378557853615, 8.58956131155308, 8.43952013253886, 8.44175881664207,      8.44175881664207, 8.49089982759618, 8.76549326341746), PROX_MALL = c(0.282416841692855,      0.22079632378696, 0.204519313237763, 0.204519313237763, 0.414588198127445,      0.46921205797367, 0.475604736810637, 0.390092702495136, 0.359721010486642,      0.305101649121832, 0.107021299056373, 0.395841490391381,      0.446560923090423, 0.240339889961931, 0.407254736414821,      0.330972758922268, 0.183177100903513, 0.183177100903513,      0.428159644756295, 0.424594513900518), PROX_CHAS = c(0.231219576578415,      0.167893491583302, 0.20451929737041, 0.20451929737041, 0.399223798550346,      0.469212052170377, 0.405258493214775, 0.390092699752756,      0.359721009550721, 0.305101651313883, 0.107021320216693,      0.364030465322827, 0.324811070171065, 0.184864523484869,      0.222103720735081, 0.330972805611547, 0.183177099178452,      0.183177099178452, 0.218909691095897, 0.124680964632411),          PROX_SUPERMARKET = c(0.282416494634945, 0.220795796105544,          0.204519239868594, 0.204519239868594, 0.414588227521533,          0.469212308573368, 0.475604214408431, 0.390093045846372,          0.359721304530864, 0.305101855713295, 0.107021556198121,          0.356071330024396, 0.408691343873882, 0.240339157209448,          0.385535197909366, 0.300218301814749, 0.137568853383185,          0.137568853383185, 0.365864675212809, 0.424593495373258         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(8L, 8L, 7L, 7L, 6L, 6L,          5L, 5L, 5L, 6L, 4L, 3L, 4L, 6L, 4L, 4L, 8L, 8L, 3L, 2L         ), WITHIN_350M_BUS = c(8L, 8L, 9L, 9L, 8L, 8L, 10L, 9L,          9L, 9L, 7L, 11L, 9L, 7L, 9L, 8L, 15L, 15L, 8L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 5L, 5L, 6L, 4L, 4L, 4L, 3L, 7L, 7L, 6L, 6L,          7L, 6L, 6L, 6L, 6L), DNeighbour = c(0, 69.8695069902255,          87.1038974924032, 89.0186898088699, 170.485293681944,          261.078086296309, 307.65490162388, 343.198515407461,          345.67223742078, 355.951520421094, 384.965081108092,          457.648738871201, 467.386121983763, 500.238437127298,          545.568935098445, 554.258107236149, 557.074500079807,          559.64782626211, 569.841399133143, 577.914679488248)), row.names = c("864",      "953", "265", "738", "729", "291", "330", "828", "576", "684",      "247", "179", "177", "227", "491", "992", "53", "402", "20",      "773"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.970980342623376,      0.955082394764125, 0.953109811793493, 0.833522487095754,      0.63347896413085, 0.513515205043758, 0.41904156303305, 0.412461882413199,      0.385191064746608, 0.309440368734542, 0.139054100905716,      0.119667623647765, 0.062875636923277, 0.0118389417039921,      0.00643093550301134, 0.00501569875917552, 0.00387099947814078,      0.000769740552540204, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       758757637 
R squared (OOB):                  -0.229774 

$Forests[[865]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(460000, 445000, 450000,      350000, 491000, 485000, 347000, 370000, 290000, 455000, 3e+05,      585000, 330000, 335000, 285000, 334008, 370000, 415000, 390000,      295000), floor_area_sqm = c(93, 93, 93, 93, 92, 93, 90, 90,      92, 99, 99, 91, 103, 102, 92, 103, 102, 92, 92, 106), storey_order = c(7L,      7L, 4L, 3L, 9L, 10L, 2L, 3L, 4L, 2L, 1L, 10L, 2L, 4L, 1L,      2L, 3L, 2L, 1L, 1L), remaining_lease_mths = c(1135, 1117,      1131, 1018, 1137, 1112, 971, 977, 690, 951, 697, 995, 937,      940, 697, 917, 927, 1132, 1132, 825), PROX_CBD = c(15.0332592042754,      14.9897790388493, 15.1194109037639, 14.9930585550483, 15.0782917837809,      14.8542518275748, 14.6079806280174, 14.489397367385, 14.8961777358487,      14.3012013074868, 14.8036441916204, 14.2059144167977, 14.5165027597446,      14.4474740114555, 14.6519123293037, 14.2719972222741, 14.12564920201,      14.6122009832922, 14.6424103631698, 14.7220636963442), PROX_ELDERLYCARE = c(0.653175957864657,      0.622451014094897, 0.632846087105322, 0.766085625885291,      0.811417024562957, 0.671766786446111, 0.966138977916587,      0.929205058584809, 0.090689252710872, 0.93663965535868, 0.0965145667339982,      0.923774065318005, 0.389463724969334, 1.50338082315219, 0.254409923718011,      1.50921581969441, 1.44816412197145, 1.68824062303628, 1.72557175775889,      0.327768156942021), PROX_HAWKER = c(0.344843972730765, 0.366862032582334,      0.399490681633122, 0.230353911902381, 0.241120378832392,      0.3485650804915, 0.31691894051251, 0.478869651742105, 1.02395142210687,      0.693090021451824, 1.07372228066705, 0.829910539202106, 1.0617726338971,      0.588144724666333, 1.21550185558774, 0.684102697062058, 0.778468578249857,      0.707122679385598, 0.740384095011384, 1.39864823048803),          PROX_MRT = c(0.587916938270161, 0.550628186781769, 0.674936552563307,          0.545901722651448, 0.604690005035212, 0.41695674877223,          0.188565130994124, 0.0437298005890327, 0.437229774651496,          0.189883903502813, 0.363746184676816, 0.127617925270923,          0.0901878473788138, 0.224566301285939, 0.218405848235923,          0.347262283963267, 0.476637705223286, 0.295449456212788,          0.312698200175978, 0.0523025726452692), PROX_PARK = c(0.858154923175006,          0.886983007034967, 0.773048101136696, 0.937160160632966,          0.889047622652367, 1.00246315577637, 1.07918529837209,          0.935596264101672, 0.600185611341118, 0.812876767906526,          0.497172938499345, 0.716522496183652, 0.278686390612803,          1.55939681176166, 0.325486875199719, 1.38760566459916,          1.20701221478007, 1.76906915549279, 1.78460824921244,          0.432331111477529), PROX_GOOD_PRISCH = c(5.67093979106873,          5.61521578968116, 5.74516136190441, 5.6774973866509,          5.77803713337603, 5.49301939379528, 5.35450137646782,          5.1963266927986, 5.28070608730985, 4.98177209241419,          5.17691715074399, 4.85056771881294, 4.93093863547281,          5.45861643017911, 4.99149337529414, 5.26118802945754,          5.06260566207177, 5.7298925008129, 5.77937603269072,          4.99661753747661), PROX_MALL = c(0.671424081833306, 0.615054651957031,          0.744876648240093, 0.691703794200818, 0.79347213158724,          0.497662931100388, 0.479398555662368, 0.345992784345898,          0.252669380741675, 0.236735170365795, 0.278400001713995,          0.148456555084967, 0.38830118917563, 0.12145856762689,          0.377416550632833, 0.108121271181015, 0.287395381957405,          0.426875162675013, 0.482269498416602, 0.343882807046916         ), PROX_CHAS = c(0.0438337826764906, 0.101756162724623,          0.0812821875339188, 0.094086780959658, 0.128222338920945,          0.139715392485403, 0.166948923507452, 3.77135010377852e-08,          0.252669404800451, 0.214782230853987, 0.190291087196022,          0.148456588323488, 0.0918929757518676, 0.121458549123021,          0.0736014920224838, 0.108121286081234, 0.182188888557241,          0.270793953405505, 0.280031834846542, 0.141205029857343         ), PROX_SUPERMARKET = c(0.238848984717478, 0.215874380558773,          0.325050502595441, 0.189746195069109, 0.286089695736963,          0.118312809115248, 0.218811722485387, 0.31785895032531,          0.186322037460738, 0.172194506074768, 0.190291125096353,          0.154204342539502, 0.354026220875794, 0.134916350552101,          0.128878263549785, 0.105248463653719, 0.277268812686258,          0.270794118098451, 0.280032026158491, 0.141204847242777         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 1L, 1L,          2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 3L,          2L, 5L, 3L, 6L, 3L, 7L, 5L, 5L, 3L, 4L, 3L, 5L, 3L, 3L         ), WITHIN_350M_BUS = c(10L, 11L, 12L, 11L, 10L, 11L,          13L, 13L, 7L, 15L, 9L, 17L, 7L, 11L, 9L, 10L, 10L, 6L,          6L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 4L, 4L,          5L, 5L, 3L, 3L, 3L, 3L, 2L, 5L, 3L, 5L, 5L, 4L, 3L, 2L         ), DNeighbour = c(0, 54.943508280404, 86.6422188020918,          116.552207943924, 174.606550695728, 183.621190762202,          459.234883292604, 547.993189373385, 727.227130288875,          738.148171394486, 797.807798339071, 848.455019575138,          856.142647288944, 914.736290256285, 961.742914564023,          976.419143512521, 1022.27225489571, 1052.51657351588,          1087.27375520652, 1124.57433036972)), row.names = c("865",      "500", "299", "836", "568", "159", "385", "374", "87", "717",      "995", "146", "592", "826", "986", "381", "703", "489", "323",      "786"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.995231653657682,      0.988163537542538, 0.978632392281499, 0.952366977772133,      0.947389665543721, 0.694287924701557, 0.581480988280435,      0.338513890917802, 0.323949037473905, 0.246718612869073,      0.185570094362926, 0.176750126377917, 0.114493950482527,      0.0721579903978312, 0.0605801666588966, 0.0301590909099371,      0.0153872829299068, 0.00425587617551373, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4772781751 
R squared (OOB):                  0.2789725 

$Forests[[866]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(408000, 370000, 340000,      368000, 395000, 4e+05, 374000, 335000, 335000, 388000, 4e+05,      325000, 328000, 361000, 350000, 360000, 360000, 385000, 398000,      392000), floor_area_sqm = c(100, 98, 104, 100, 101, 104,      103, 93, 84, 100, 103, 85, 84, 84, 105, 103, 104, 101, 100,      103), storey_order = c(4L, 2L, 1L, 2L, 4L, 2L, 2L, 5L, 2L,      4L, 3L, 1L, 4L, 4L, 1L, 1L, 2L, 3L, 2L, 2L), remaining_lease_mths = c(921,      912, 869, 923, 936, 822, 862, 921, 796, 922, 796, 830, 806,      794, 837, 798, 804, 952, 924, 833), PROX_CBD = c(10.7481925626994,      10.6430674352334, 10.9782438935663, 10.5911430304609, 10.5347600839054,      10.8294299245227, 11.0478583208432, 10.6321305837804, 10.2571858212528,      10.3133134299625, 10.2571858212528, 10.1989356004427, 10.2439629519707,      10.1908965186918, 10.9742090734032, 10.1540744969693, 10.0879656312395,      10.5394819073022, 10.2027088676681, 10.8307618753175), PROX_ELDERLYCARE = c(1.00181077128688,      1.10983952182968, 0.748731634955849, 1.2745451415541, 1.31633228018286,      0.925828280583076, 0.694826263841934, 1.32435226249417, 0.969336561855173,      1.4124150938613, 0.969336561855173, 1.08623091115154, 0.904720646157319,      0.891997547710976, 0.852070403211021, 0.85844301108046, 1.31022889057949,      1.55101586165687, 1.63738856945076, 1.12487398858542), PROX_HAWKER = c(0.591883114810231,      0.494234864614673, 0.421987441153261, 0.314632743063994,      0.259744380023822, 0.558859907936318, 0.33156405975617, 0.382898898882956,      0.543600998034675, 0.0623262564011618, 0.543600998034675,      0.368744432216956, 0.616195579705155, 0.594526114354717,      0.487483409830997, 0.614574465644474, 0.196699811405185,      0.463304434183495, 0.264427923442986, 0.775872885593274),          PROX_MRT = c(0.80807654444201, 0.91242151857363, 0.516121726350597,          1.14211364891441, 1.15842683571226, 0.633065114071651,          0.413251174688675, 1.20430491709432, 0.5984056038899,          1.09471398918577, 0.5984056038899, 0.78040997284139,          0.52596302633555, 0.554399001312584, 0.534522073584246,          0.544743966599557, 1.09046737609619, 1.31136747445593,          1.392302848886, 0.568072215940967), PROX_PARK = c(1.13130385684233,          1.09293299728603, 1.01560706627581, 0.997953552798557,          1.00657829367171, 0.822296725898933, 0.855372307789476,          0.852996238213812, 0.690393008756984, 0.826294351272671,          0.690393008756984, 0.808282577864154, 0.626908579085899,          0.61263038213259, 0.623434891123849, 0.578916018382343,          0.604882226694947, 0.594979546415276, 0.728383914708498,          0.443949121553361), PROX_GOOD_PRISCH = c(1.51127824976447,          1.4206810513637, 1.81228643023267, 1.15731102426836,          1.12709017589061, 1.88031331185984, 1.96973866183315,          1.09467860924251, 1.38840710840139, 0.993301788551023,          1.38840710840139, 1.199846441039, 1.44855804010835, 1.40421671412888,          2.09882394138718, 1.40445923276907, 0.87937610392538,          0.89296386953394, 0.689163418131917, 2.22887532154294         ), PROX_MALL = c(0.114469773448463, 0.220538248250442,          0.231229629812008, 0.441630162720786, 0.464767570965945,          0.43093778326398, 0.400154220571097, 0.512358501951296,          0.638527944164543, 0.450275200033962, 0.638527944164543,          0.663851500718272, 0.644656189163291, 0.685823836221668,          0.606835933426222, 0.685950169481642, 0.441232897113797,          0.357726596913911, 0.12742430838485, 0.384053234723219         ), PROX_CHAS = c(0.0793642323922721, 0.0703959269798554,          0.23122963873357, 0.327465416824022, 0.272565000598528,          0.0390568763467083, 0.193330180912365, 0.394471723674887,          0.0819899420632749, 0.071192987667569, 0.0819899420632749,          0.0710453772718398, 0.155315138624813, 0.151788880767358,          0.20965056306942, 0.170954716034814, 0.177420148260447,          0.263233285458842, 0.127424254451578, 0.2644107607892         ), PROX_SUPERMARKET = c(0.114469867006585, 0.220538485726081,          0.231228589734032, 0.441631117888638, 0.464768447350912,          0.430936681100737, 0.392366955335671, 0.447614574279886,          0.123486578338512, 0.330151298165832, 0.123486578338512,          0.00115080458448496, 0.18505229065347, 0.152401712794372,          0.477398814511427, 0.171715993026927, 0.320748009942088,          0.263232243208913, 0.129189539659537, 0.407226974513028         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 2L, 1L, 1L, 2L,          1L, 2L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 2L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 2L, 5L, 1L, 1L, 4L,          2L, 3L, 2L, 4L, 2L, 4L, 1L, 2L, 2L, 2L, 5L, 6L, 6L, 4L         ), WITHIN_350M_BUS = c(10L, 13L, 9L, 13L, 15L, 11L, 7L,          12L, 10L, 15L, 10L, 12L, 10L, 12L, 8L, 14L, 11L, 15L,          13L, 11L), WITHIN_1KM_PRISCH = c(6L, 6L, 5L, 4L, 4L,          6L, 6L, 4L, 5L, 4L, 5L, 4L, 6L, 6L, 6L, 5L, 5L, 4L, 4L,          6L), DNeighbour = c(0, 112.4482598647, 303.770473681662,          380.739754056463, 393.826880242242, 428.20798399237,          465.328582707779, 524.05642296132, 526.36732330384, 526.435281049864,          531.47133903004, 547.040487794482, 570.490437463661,          609.568512676475, 632.308556139747, 645.123924132241,          717.455761735667, 781.857088691539, 819.766730355321,          858.312888628324)), row.names = c("866", "627", "317",      "718", "577", "364", "694", "975", "591", "513", "494", "967",      "668", "447", "239", "560", "292", "769", "771", "743"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.965966936612027, 0.765176404467569, 0.64517385004489, 0.623258708073412,      0.564156929714786, 0.498549871893185, 0.39339176575372, 0.389269321017408,      0.389148145207493, 0.380177791000862, 0.352589826731403,      0.311610227737744, 0.245643875133819, 0.209115258388749,      0.189285464096455, 0.0907736977681736, 0.0289745068577163,      0.00770911971549893, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       812672779 
R squared (OOB):                  -0.1448811 

$Forests[[867]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(268000, 315000, 320000,      310000, 331000, 323000, 310000, 385000, 350000, 4e+05, 370000,      4e+05, 375000, 340000, 415000, 4e+05, 368000, 420000, 568000,      362000), floor_area_sqm = c(84, 104, 105, 104, 107, 104,      105, 92, 104, 96, 92, 92, 92, 92, 93, 92, 92, 92, 92, 92),          storey_order = c(3L, 1L, 3L, 3L, 2L, 2L, 3L, 3L, 3L,          2L, 1L, 4L, 1L, 2L, 4L, 3L, 2L, 4L, 4L, 1L), remaining_lease_mths = c(822,          807, 815, 869, 869, 806, 827, 1132, 812, 1098, 1090,          1142, 1139, 1133, 1141, 1136, 1100, 1133, 1117, 1135),          PROX_CBD = c(15.3723771683987, 15.3877172812078, 15.4421704385289,          15.2437764157418, 15.2221855529023, 15.5926635355646,          15.6029325535915, 14.9536689261967, 14.8739209120931,          15.0414874321427, 15.0414874321427, 14.8350589102573,          14.8395197777251, 14.8395197777251, 15.719551353229,          14.7935232496013, 14.9752079088984, 14.7615340778399,          15.3987887594526, 15.9297907572658), PROX_ELDERLYCARE = c(0.488083454274335,          0.4433955665635, 0.497101135842809, 0.313986883487753,          0.277621781700774, 0.348154483747206, 0.338118814836049,          1.13414610370389e-06, 0.224374856243457, 0.180026828914976,          0.180026828914976, 0.366071958673004, 0.143171284390361,          0.143171284390361, 0.251997184681221, 0.348662381557687,          0.199763345782594, 0.301679225956583, 0.578356799737993,          0.0463608633689567), PROX_HAWKER = c(0.473722511855576,          0.342886316384117, 0.380223054122965, 0.306302732963744,          0.252887916114098, 0.438799857473275, 0.432858942767381,          0.283688306330561, 0.490895901627697, 0.135868389364205,          0.135868389364205, 0.625406547060166, 0.426817039061835,          0.426817039061835, 0.543607139892928, 0.61938764744993,          0.202333554334061, 0.582527401679673, 0.294909248784724,          0.768716574287481), PROX_MRT = c(1.53295440749368, 1.37085724211185,          1.36083949137777, 1.43926724244883, 1.3991563615676,          1.20427337027458, 1.13678031777592, 1.45204946878565,          1.67344316225132, 1.27219969611937, 1.27219969611937,          1.81204065654847, 1.58589972239689, 1.58589972239689,          1.04322565796881, 1.80023823132094, 1.27457972333389,          1.75082728996661, 0.921278705332003, 1.23034399571509         ), PROX_PARK = c(0.719474571135727, 0.57859629393417,          0.607675278354181, 0.554495921895103, 0.500874596291267,          0.608584573014238, 0.578149656320062, 0.447466290733612,          0.671840643384197, 0.270313948020077, 0.270313948020077,          0.813480610745631, 0.573834160005083, 0.573834160005083,          0.60075194434184, 0.794674698621811, 0.259935562114549,          0.739209778966795, 0.283836897691409, 0.846978318526899         ), PROX_GOOD_PRISCH = c(6.12183876163327, 6.09187968106835,          6.14472917023144, 5.96162295702861, 5.9271396376627,          6.25532900137267, 6.24898658848638, 5.64958645026222,          5.63420261242257, 5.69200203864946, 5.69200203864946,          5.6396253746677, 5.56483468018996, 5.56483468018996,          6.34176102939636, 5.58881641790013, 5.6171537261999,          5.53447364393692, 5.98797030068414, 6.58539462985877),          PROX_MALL = c(1.02404161156211, 0.900250825960545, 0.860369947035052,          1.03199787585398, 1.02106462402642, 0.657431321444681,          0.60644342729779, 0.806257336881612, 0.927972955155417,          0.767711199656331, 0.767711199656331, 1.03026167893405,          0.805396060532061, 0.805396060532061, 0.460595397283409,          0.980189305249844, 0.689421511186311, 0.897398400321744,          0.692287086677849, 0.478634609766659), PROX_CHAS = c(0.183904955535591,          0.147116034863504, 0.200516789487464, 4.60754704120663e-08,          0.0544459444778504, 0.337342861051532, 0.336408570757183,          0.14456617920399, 0.25243947150411, 0.163757574589084,          0.163757574589084, 0.298721071991625, 0.204546662914522,          0.204546662914522, 0.269388612247007, 0.244316778428722,          0.230775629929228, 0.166975848000366, 0.0335692412129841,          4.95402698497433e-08), PROX_SUPERMARKET = c(0.267991425015023,          0.236697160290918, 0.291068212048821, 0.0947293086454089,          0.0768892314501321, 0.403551045123396, 0.338214025323699,          0.16127040484797, 0.298947211163532, 0.197268674737732,          0.197268674737732, 0.402632437071234, 0.280088374069707,          0.280088374069707, 0.219989756424723, 0.416104879739584,          0.264202614673064, 0.408349928269047, 0.352133387221186,          0.427887094284235), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          6L, 4L, 5L, 4L, 4L, 7L, 3L, 4L, 4L, 2L, 5L, 5L, 5L, 2L,          4L, 3L, 1L, 5L), WITHIN_350M_BUS = c(7L, 7L, 9L, 8L,          8L, 6L, 6L, 6L, 6L, 9L, 9L, 6L, 5L, 5L, 5L, 6L, 9L, 4L,          6L, 7L), WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 3L, 3L, 2L,          4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L         ), DNeighbour = c(0, 164.528497335124, 182.585362674973,          184.009645870583, 233.639835003048, 372.311302921437,          435.516733014804, 480.754998675894, 494.460870309492,          522.832728773422, 526.520460420282, 540.55625616655,          550.06820004204, 552.266894032047, 569.340296200071,          581.046247119173, 598.868384110948, 604.757802701974,          628.146103006666, 634.187598900197)), row.names = c("867",      "895", "586", "578", "679", "458", "924", "139", "602", "632",      "793", "27", "152", "543", "698", "478", "558", "620", "714",      "654"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.869920124046027,      0.841092752290387, 0.838713218611142, 0.746972118062308,      0.42948500753903, 0.279206096237446, 0.180912812516929, 0.15374655528726,      0.102619389812353, 0.0965475726942477, 0.0747924715866737,      0.0613496909217913, 0.0584007668323353, 0.03765521855031,      0.0257818410666687, 0.0117251035683168, 0.00821878961836387,      0.000359555835702076, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4071991431 
R squared (OOB):                  -0.03625504 

$Forests[[868]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(426888, 430000, 475000,      440000, 460000, 390000, 422000, 382000, 455000, 460000, 458888,      450000, 485000, 420000, 468000, 510000, 425000, 452000, 403500,      388000), floor_area_sqm = c(92, 92, 92, 92, 92, 90, 92, 86,      92, 92, 92, 92, 95, 92, 92, 92, 92, 92, 90, 90), storey_order = c(1L,      1L, 2L, 2L, 5L, 5L, 2L, 2L, 4L, 3L, 4L, 3L, 5L, 2L, 4L, 5L,      4L, 2L, 5L, 1L), remaining_lease_mths = c(1141, 1134, 1126,      1136, 1136, 978, 1132, 989, 1136, 1137, 1130, 1136, 1141,      1139, 1124, 1133, 988, 1133, 965, 956), PROX_CBD = c(12.5841594105866,      12.5852639843962, 12.6532888174316, 12.6445046545469, 12.5778468618744,      12.4059518996545, 12.6523002899419, 12.3082954752684, 12.5530445309639,      12.6444338023734, 12.6444338023734, 12.6444338023734, 12.8190940082697,      12.4951121122816, 12.5372560863306, 12.8180148044036, 12.1902934701837,      12.8941535537835, 12.0682850666201, 12.6254404323309), PROX_ELDERLYCARE = c(0.419823195233641,      0.3637938018331, 0.373604611296459, 0.316798451576888, 0.25879478544564,      0.404564014080405, 0.17445131765005, 0.583230122785789, 4.52036057904239e-07,      0.0933099122535032, 0.0933099122535032, 0.0933099122535032,      0.268492105828742, 0.0780281999502717, 0.066903342124331,      0.265081039187363, 0.362754738306624, 0.346816364720296,      0.36227142211874, 0.92626814118798), PROX_HAWKER = c(0.512822421809829,      0.45815519033126, 0.440383933038266, 0.385855619963418, 0.361759384229333,      0.551023632791116, 0.228019105088385, 0.732610931237137,      0.183834631869038, 0.0943584031018698, 0.0943584031018698,      0.0943584031018698, 0.146347761938812, 0.227760265989261,      0.184899994018696, 0.116173376637396, 0.536726116414185,      0.172433027954251, 0.732401821736703, 1.13552097839855),          PROX_MRT = c(0.285300897266269, 0.305105021876954, 0.24828698655044,          0.290856617513635, 0.325317058740364, 0.467412150427879,          0.189124878414716, 0.348338435446781, 0.225183269009929,          0.135663244459145, 0.135663244459145, 0.135663244459145,          0.0524349257152741, 0.288636635543175, 0.250680884626282,          0.0414043955932523, 0.364194860258715, 0.133852264483784,          0.353072027979069, 0.252582104498609), PROX_PARK = c(1.05356492524152,          0.998305920751222, 0.981635622560504, 0.927332929158558,          0.898636927133822, 1.06942514246801, 0.76865606278053,          1.248380402738, 0.665189387379371, 0.61385987529272,          0.61385987529272, 0.61385987529272, 0.639036828502152,          0.64692671777276, 0.614568616662392, 0.594833919624026,          0.883674706708426, 0.541994755536806, 1.2554933111164,          0.682542858399859), PROX_GOOD_PRISCH = c(3.04090040576321,          3.02473222579279, 3.08870420529617, 3.06407026512831,          2.98751376551561, 2.85954585658161, 3.02962689364369,          2.82059786507503, 2.90013878468328, 2.98554640042679,          2.98554640042679, 2.98554640042679, 3.16783392704602,          2.83249303987555, 2.87119716545371, 3.15789060893291,          2.54749739008747, 3.22227453062783, 2.66094910730305,          3.31643945338342), PROX_MALL = c(0.39575302739997, 0.450387082903272,          0.475487624694748, 0.525247230278188, 0.550769417999913,          0.423524868376446, 0.680457081346124, 0.312386349772529,          0.801147315442336, 0.835997866672575, 0.835997866672575,          0.835997866672575, 0.842111664425906, 0.848059510883206,          0.863947607104433, 0.881741038155881, 0.835543217968543,          0.965068597681967, 0.424043071559413, 0.289170330853986         ), PROX_CHAS = c(0.369996201265779, 0.324614821605945,          0.362882313204726, 0.312339613016365, 0.236995708134403,          0.187639553192951, 0.162820120107843, 0.200650927390068,          0.0780281620295796, 0.102096070463208, 0.102096070463208,          0.102096070463208, 0.0812086980787344, 3.19858778746232e-08,          0.0439945201117045, 0.0772642002388838, 0.167384851183216,          0.115846127710365, 0.0850792531740411, 0.248410865511824         ), PROX_SUPERMARKET = c(0.385003628727568, 0.389269910824952,          0.36465940083402, 0.312339147167174, 0.299832635957983,          0.375814638453933, 0.162819600148508, 0.200651971059786,          0.189775839444753, 0.102095775430648, 0.102095775430648,          0.102095775430648, 0.0812089624400091, 0.255060837787685,          0.218453608018692, 0.0772646744727167, 0.552359009160243,          0.115845823699909, 0.0850782630125017, 0.298638993269614         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 1L, 0L,          1L, 0L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 2L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 5L, 5L, 5L, 4L,          6L, 4L, 7L, 7L, 7L, 7L, 7L, 5L, 6L, 6L, 3L, 5L, 5L, 8L         ), WITHIN_350M_BUS = c(10L, 11L, 11L, 11L, 8L, 10L, 11L,          8L, 11L, 10L, 10L, 10L, 9L, 10L, 10L, 9L, 12L, 6L, 12L,          12L), WITHIN_1KM_PRISCH = c(5L, 4L, 4L, 4L, 4L, 5L, 4L,          6L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 7L, 6L),          DNeighbour = c(0, 54.2980635669399, 94.1548644170094,          133.371109744725, 160.243086908845, 183.830544112433,          282.265123041248, 295.471619627795, 415.204619446147,          436.26362872901, 437.492624499619, 443.305614614756,          448.247327242809, 472.362438400258, 481.069239569253,          488.684153853524, 564.001050234149, 572.411459282335,          582.697941613083, 639.074851596282)), row.names = c("868",      "180", "759", "144", "355", "138", "311", "231", "764", "92",      "807", "166", "44", "791", "672", "115", "783", "371", "860",      "111"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.985614503883063,      0.957058928424887, 0.914790480389991, 0.878209465318782,      0.841360185036712, 0.647897481554069, 0.618172061288988,      0.333962180411011, 0.285146096065133, 0.282344984383675,      0.269179434705767, 0.258102145288171, 0.205825364060061,      0.187795809916127, 0.17245176539273, 0.0489053034499438,      0.0391025365715094, 0.0284430736247184, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       591679524 
R squared (OOB):                  0.481482 

$Forests[[869]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 4e+05, 428000,      433000, 416000, 418000, 367000, 412000, 395000, 365000, 258000,      4e+05, 4e+05, 415000, 292000, 288000, 285000, 420000, 3e+05,      315000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 84, 92, 92, 92, 84, 84, 84, 92, 84, 84), storey_order = c(5L,      2L, 4L, 4L, 4L, 5L, 1L, 5L, 2L, 1L, 1L, 2L, 3L, 5L, 1L, 1L,      3L, 3L, 1L, 3L), remaining_lease_mths = c(1143, 1130, 1140,      1130, 1140, 1138, 1137, 1144, 1146, 1137, 781, 1137, 1143,      1144, 761, 770, 776, 1144, 766, 804), PROX_CBD = c(16.1537572283104,      16.1976566517324, 16.1831859860721, 16.055983361932, 16.055983361932,      16.0903666266177, 16.0903666266177, 16.0903666266177, 16.0046521285213,      16.0046521285213, 16.1631400386504, 16.0475930141239, 16.0475930141239,      15.9533618390172, 16.3662877971208, 16.2681803933938, 16.2311391435218,      15.9392575628934, 16.3138748954346, 15.9050437012323), PROX_ELDERLYCARE = c(0.0462823216560119,      9.89208662673193e-07, 0.0701319802482612, 0.146417557277997,      0.146417557277997, 0.179967723198436, 0.179967723198436,      0.179967723198436, 0.20718686492254, 0.20718686492254, 0.194171564025932,      0.129564145964732, 0.129564145964732, 0.251148223850536,      0.177020457931737, 0.20801878428071, 0.252142982647588, 0.0436662178849567,      0.259941730365991, 0.346730428331521), PROX_HAWKER = c(0.986028325459381,      1.03146250928298, 1.00994702859189, 0.897672222950446, 0.897672222950446,      0.9143232220583, 0.9143232220583, 0.9143232220583, 0.855932206484513,      0.855932206484513, 1.03995728027003, 0.872301448799324, 0.872301448799324,      0.802087399746937, 1.20613696965479, 1.14155805943316, 1.12300848995143,      0.765854363537175, 1.19589315813724, 0.79668564149145), PROX_MRT = c(1.02112351286352,      1.02706758196582, 1.08237519657155, 0.936151237003446, 0.936151237003446,      1.13213387762555, 1.13213387762555, 1.13213387762555, 0.883219311345816,      0.883219311345816, 0.842728374229233, 1.14436247830993, 1.14436247830993,      0.8851452059773, 1.07002489239586, 0.896888955057001, 0.830985280221221,      1.14464062157712, 0.896077488488813, 0.750476153315833),          PROX_PARK = c(0.793519520304926, 0.822565203699192, 0.848434833813522,          0.683762717294504, 0.683762717294504, 0.83568858459355,          0.83568858459355, 0.83568858459355, 0.619767633008914,          0.619767633008914, 0.707513815343702, 0.824988291997923,          0.824988291997923, 0.589052524814441, 0.840406553837571,          0.750067315759091, 0.723677668737743, 0.777956069134633,          0.695881850270676, 0.475878847958935), PROX_GOOD_PRISCH = c(6.74044920052795,          6.78043949525415, 6.78038310261662, 6.63421015362065,          6.63421015362065, 6.70919168347838, 6.70919168347838,          6.70919168347838, 6.57618460349959, 6.57618460349959,          6.70927938580052, 6.67335529701902, 6.67335529701902,          6.52939634907869, 6.93507101526025, 6.81173689796023,          6.76533990958697, 6.57394481891556, 6.84997592861041,          6.45664561130608), PROX_MALL = c(0.180580587241737, 0.189710317758296,          0.241735562355662, 0.118546137622893, 0.118546137622893,          0.311149009276151, 0.311149009276151, 0.311149009276151,          0.110811660449771, 0.110811660449771, 0.0870960802892481,          0.339403259296736, 0.339403259296736, 0.161178852361569,          0.298590834338171, 0.188162247463955, 0.175221521556568,          0.391567182053879, 0.242195958154985, 0.18299798168314         ), PROX_CHAS = c(0.0922372285822684, 0.0868060808909073,          0.148113838308576, 0.110329053122027, 0.110329053122027,          0.215238065300109, 0.215238065300109, 0.215238065300109,          0.114687044901222, 0.114687044901222, 0.081875317774622,          0.16574506375663, 0.16574506375663, 0.165813590617473,          0.209004221202181, 0.160774225575301, 0.170601730776313,          0.0895372628546906, 0.218904529587093, 0.190026772642962         ), PROX_SUPERMARKET = c(0.186806037215644, 0.195853508350489,          0.247969406526707, 0.123371553336512, 0.123371553336512,          0.316789996913415, 0.316789996913415, 0.316789996913415,          0.112847248683738, 0.112847248683738, 0.0873208554119548,          0.344658205065017, 0.344658205065017, 0.162291812321236,          0.303085580417471, 0.189660657064324, 0.137275095711229,          0.354688671920554, 0.204979568486045, 0.179336240856332         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(8L, 8L, 7L, 3L, 3L, 2L,          2L, 2L, 3L, 3L, 6L, 2L, 2L, 3L, 8L, 6L, 5L, 3L, 4L, 4L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L,          7L, 7L, 11L, 9L, 9L, 8L, 5L, 11L, 10L, 9L, 8L, 8L), WITHIN_1KM_PRISCH = c(4L,          5L, 4L, 5L, 5L, 4L, 4L, 4L, 5L, 5L, 5L, 4L, 4L, 5L, 4L,          5L, 5L, 4L, 5L, 6L), DNeighbour = c(0, 50.9864789528301,          64.5663387672856, 106.493432406436, 106.875502877307,          159.672041318472, 162.862479043997, 163.791407116573,          171.295607142909, 173.298279748598, 199.005413110375,          202.095096380758, 203.106550355197, 207.168832989311,          229.580875443958, 233.563977322337, 270.520300375776,          290.265132410259, 291.762634308885, 311.665826122055)), row.names = c("869",      "427", "661", "741", "538", "249", "161", "919", "408", "594",      "872", "440", "28", "124", "687", "798", "945", "517", "848",      "59"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.947190632562407,      0.916006999708472, 0.780125627879704, 0.778643784922922,      0.543950755809949, 0.528436620063938, 0.523904683247762,      0.487099987755093, 0.477233510985133, 0.350807392865929,      0.335857077537079, 0.330984459390012, 0.311536408173337,      0.209199609259641, 0.192187467477897, 0.0608152079926288,      0.0175870227083166, 0.0152876346986351, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       999551690 
R squared (OOB):                  0.704948 

$Forests[[870]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 338000, 330000,      385000, 365000, 310000, 330000, 332000, 320000, 345000, 450000,      4e+05, 3e+05, 305000, 310000, 418000, 410000, 425000, 455000,      430000), floor_area_sqm = c(105, 103, 104, 90, 91, 104, 105,      104, 107, 95, 93, 90, 85, 90, 104, 112, 93, 93, 106, 91),          storey_order = c(1L, 4L, 3L, 3L, 4L, 3L, 1L, 3L, 1L,          3L, 4L, 3L, 2L, 1L, 2L, 5L, 4L, 4L, 4L, 4L), remaining_lease_mths = c(896,          836, 847, 1060, 1061, 838, 909, 838, 909, 1003, 950,          953, 979, 966, 840, 904, 1117, 1126, 933, 962), PROX_CBD = c(17.9794873864528,          18.1853470145009, 18.238428451998, 17.6242343596777,          17.5974072281911, 18.2872060948971, 18.4634083712346,          18.3394484051955, 18.5552891680356, 17.7047470513727,          17.4336546583772, 17.5759295796121, 18.0119212314593,          18.0816861587931, 18.6954685875173, 17.2048826778539,          17.3263676504413, 17.3263676504413, 17.1634204962367,          17.4594236905894), PROX_ELDERLYCARE = c(1.20397588034421,          1.46334015610348, 1.49823830734066, 0.892136309268664,          0.819477307137174, 1.57361264937598, 1.70649895251479,          1.68689945441126, 1.77696496808422, 0.933045885854195,          0.825709875044437, 1.07156662032258, 1.25793892145158,          1.34637729166943, 1.96536267509963, 0.400468425457175,          0.561119780492452, 0.561119780492452, 0.565792923614884,          1.1429422216578), PROX_HAWKER = c(0.736691454978467,          0.490406092071559, 0.548143788898404, 0.816419857336687,          0.922900854400271, 0.464971900021808, 0.656056303664779,          0.322806547864559, 0.788681622626877, 1.00938993481846,          0.841716009165303, 0.622851592932912, 1.33204585660377,          1.41733367811242, 0.696312293428963, 0.498365875295267,          0.631285601786086, 0.631285601786086, 0.666841975849823,          0.704564458032275), PROX_MRT = c(1.05284557964442, 0.888080533877704,          0.950317003394984, 0.729175757939742, 0.830609903675807,          0.870907467758581, 1.05945750202888, 0.722989849955079,          1.18994045686449, 1.29287496569192, 0.463093751675267,          0.449846795062068, 1.54554013822754, 1.64690112478102,          1.06426899086337, 0.87869292375624, 1.13344401626098,          1.13344401626098, 0.463116738810145, 0.304209523777939         ), PROX_PARK = c(0.555889077383573, 0.741201414908801,          0.690805332809177, 0.830497330619545, 0.751240825934154,          0.791043930625847, 0.707700114575514, 0.845903786092674,          0.662341635279621, 0.495314460898113, 0.609424449579261,          0.650211227804106, 0.23250554954982, 0.243247600736397,          0.939968281858902, 0.9054780070858, 0.872985599051717,          0.872985599051717, 0.505224516024672, 0.515475588097358         ), PROX_GOOD_PRISCH = c(7.33264137396139, 7.52724739525134,          7.58243576478886, 6.97273607492461, 6.95474206477502,          7.62743554697163, 7.80883552790736, 7.67457853159282,          7.9054148179446, 7.10206992983331, 6.77374769998522,          6.90999703096039, 7.41905192895776, 7.49669975318446,          8.03533881462458, 6.57740517739392, 6.72174636420399,          6.72174636420399, 6.50789265243056, 6.79149624878531),          PROX_MALL = c(0.387548928263219, 0.362005799982455, 0.291730094824992,          0.671391539314818, 0.757845794253982, 0.369641594977131,          0.25445476080495, 0.270650184250749, 0.238299753757691,          0.790613232916467, 0.404491618549369, 0.456006423255308,          0.658794213245526, 0.694568288644574, 0.50227152913363,          0.446026044391999, 0.530342726071102, 0.530342726071102,          0.353588302636786, 0.366883459562171), PROX_CHAS = c(0.324283073315245,          0.11010335009361, 0.0811018368302058, 0.0497500971788425,          0.175468897673469, 0.000458346083760352, 0.163921847201363,          0.186439783883369, 0.177138384703249, 0.40646651865696,          0.260153188296123, 0.401255348981324, 0.166262674114357,          0.119012364389208, 0.387978032092424, 0.130380344727655,          0.254413742194056, 0.254413742194056, 0.171584438209325,          0.293637386768921), PROX_SUPERMARKET = c(0.337417678694655,          0.36017462873485, 0.289827711639516, 0.442456788826315,          0.336744227428862, 0.367596841627256, 0.25256410508494,          0.279112228601587, 0.237159648524433, 0.260900811674997,          0.355873580059747, 0.338457664260807, 0.385510043100507,          0.485184742393951, 0.500728516827066, 0.445962312606475,          0.529573977763673, 0.529573977763673, 0.320581809168482,          0.217741105325511), WITHIN_350M_KINDERGARTEN = c(2L,          7L, 4L, 0L, 1L, 6L, 4L, 4L, 3L, 0L, 1L, 1L, 1L, 1L, 0L,          3L, 2L, 2L, 1L, 2L), WITHIN_350M_CHILDCARE = c(3L, 4L,          3L, 2L, 3L, 4L, 3L, 4L, 3L, 2L, 4L, 5L, 3L, 3L, 3L, 2L,          3L, 3L, 4L, 6L), WITHIN_350M_BUS = c(9L, 11L, 10L, 12L,          6L, 9L, 12L, 11L, 10L, 6L, 12L, 8L, 9L, 8L, 8L, 8L, 5L,          5L, 8L, 8L), WITHIN_1KM_PRISCH = c(5L, 5L, 4L, 4L, 4L,          5L, 4L, 6L, 4L, 3L, 6L, 4L, 4L, 3L, 5L, 3L, 3L, 3L, 4L,          4L), DNeighbour = c(0, 303.703309847322, 314.925337631736,          366.078908955189, 385.721302144831, 407.418607358402,          502.403479941869, 570.748380076954, 582.760212329271,          600.47805885282, 614.076874552147, 640.453575385841,          651.87107750309, 735.456388283166, 769.707710152979,          806.224216906848, 809.932282830308, 812.102612591158,          839.23379761448, 860.322141003636)), row.names = c("870",      "857", "839", "300", "720", "414", "748", "693", "169", "631",      "535", "357", "228", "85", "817", "889", "797", "925", "991",      "937"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.766295618616395,      0.749962301031463, 0.670659513562754, 0.638379558015441,      0.601766376942221, 0.434251299815076, 0.313470073028454,      0.292858359595917, 0.263004331020215, 0.240614306682945,      0.198752900128902, 0.181375408238636, 0.0724748815690519,      0.0398236855381312, 0.0148371879585488, 0.0129302563080649,      0.0118712019040614, 0.0023448305112131, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1617631859 
R squared (OOB):                  0.4019822 

$Forests[[871]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 305000, 328000,      310500, 319000, 323000, 310000, 280000, 323000, 305000, 325000,      335000, 337000, 432000, 410000, 420000, 358000, 313000, 415000,      333000), floor_area_sqm = c(101, 91, 92, 92, 101, 101, 89,      90, 91, 99, 91, 100, 105, 92, 92, 92, 101, 99, 92, 99), storey_order = c(2L,      4L, 3L, 4L, 4L, 1L, 1L, 3L, 2L, 4L, 2L, 4L, 1L, 4L, 2L, 1L,      3L, 4L, 2L, 3L), remaining_lease_mths = c(931, 932, 923,      932, 950, 937, 946, 958, 974, 930, 970, 927, 947, 1123, 1136,      1121, 960, 918, 1125, 927), PROX_CBD = c(17.1235753252943,      17.1300558853523, 17.049182232397, 17.1621565450396, 17.1356331652512,      17.4093430047218, 17.0860498579873, 17.0860498579873, 16.9744532057656,      17.5508688704121, 17.7083177660008, 17.5934100264964, 17.5852868111176,      17.7152334804069, 17.7152334804069, 17.7152334804069, 17.5852868111176,      17.8728040148932, 17.7609329148819, 17.6933534103443), PROX_ELDERLYCARE = c(0.697818713768909,      0.650159488421832, 0.850080656271298, 0.588822776266157,      0.585213362825854, 0.347622879353981, 0.634635376150565,      0.634635376150565, 0.669866762803474, 0.169110695114153,      0.378187975507624, 0.183364759720919, 0.979721953613503,      0.0982899037000713, 0.0982899037000713, 0.0982899037000713,      0.979721953613503, 0.330981516384048, 0.0656405943898966,      0.174626049595048), PROX_HAWKER = c(0.705945006380572, 0.747949107581356,      0.714958983882519, 0.776103543372746, 0.905166107754752,      0.646263997619536, 0.984075399620173, 0.984075399620173,      1.16076193719705, 0.736171211400498, 0.340346390827249, 0.860123145519879,      0.300047945510982, 0.815736811633103, 0.815736811633103,      0.815736811633103, 0.300047945510982, 0.446535534086157,      0.769612072642938, 0.89059259132002), PROX_MRT = c(0.782769723074986,      0.826263947198081, 0.785333186388227, 0.827901946736494,      0.689848925621533, 0.722831181419355, 0.610921595420819,      0.610921595420819, 0.434229027914827, 0.804998329325227,      0.403335562748004, 0.675234243169572, 0.294966346549802,      0.674833365376197, 0.674833365376197, 0.674833365376197,      0.294966346549802, 0.4868918768976, 0.714624513867521, 0.606842528225389     ), PROX_PARK = c(2.27471658155514, 2.21165427538899, 2.39009267562017,      2.12305734030611, 2.00545012030434, 1.92330050908574, 1.98249707589613,      1.98249707589613, 1.94357933186421, 1.71737354643835, 1.86766019581863,      1.60355051242194, 2.22462050149276, 1.52614967260321, 1.52614967260321,      1.52614967260321, 2.22462050149276, 1.69875568186822, 1.52091098886828,      1.49905344652453), PROX_GOOD_PRISCH = c(7.68854504458572,      7.71077701272798, 7.5878538843241, 7.75790588282746, 7.76178719780886,      8.00696366683488, 7.72567604662297, 7.72567604662297, 7.64555391975429,      8.17476856172454, 8.26299778187914, 8.24279341902993, 8.05369522760851,      8.35538963357137, 8.35538963357137, 8.35538963357137, 8.05369522760851,      8.43952013253886, 8.39120163011403, 8.34857469941546), PROX_MALL = c(0.614584601713128,      0.568151229694078, 0.718658142186859, 0.509108711773916,      0.382407895591973, 0.265229996889848, 0.314944256820634,      0.314944256820634, 0.199292924769147, 0.109574351562212,      0.335143296665789, 0.188384425612312, 0.237472256939882,      0.158599011552442, 0.158599011552442, 0.158599011552442,      0.237472256939882, 0.330972758922268, 0.147411017927622,      0.223321337745784), PROX_CHAS = c(0.076148424020495, 0.159798231789153,      0.13498084818294, 0.242301342816858, 0.257714074421561, 0.23105278557526,      0.250499161266826, 0.250499161266826, 0.199292963025488,      0.048268048492383, 0.30242004444134, 0.151781240761386, 0.145295883687343,      0.158598978424062, 0.158598978424062, 0.158598978424062,      0.145295883687343, 0.330972805611547, 0.14741100268466, 0.21485891447712     ), PROX_SUPERMARKET = c(0.307215454393191, 0.260386915772359,      0.397684558683682, 0.263452146302603, 0.257714572429151,      0.313773352526138, 0.250499698074938, 0.250499698074938,      0.25551504160041, 0.15801430638391, 0.332189289926598, 0.209139790637019,      0.237470779768967, 0.144345834884574, 0.144345834884574,      0.144345834884574, 0.237470779768967, 0.300218301814749,      0.113022549454425, 0.218378438252518), WITHIN_350M_KINDERGARTEN = c(0L,      0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 2L, 2L, 2L,      0L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(5L, 5L, 12L, 5L,      5L, 7L, 6L, 6L, 6L, 7L, 6L, 6L, 5L, 6L, 6L, 6L, 5L, 4L, 8L,      5L), WITHIN_350M_BUS = c(11L, 13L, 8L, 11L, 11L, 13L, 11L,      11L, 13L, 12L, 7L, 12L, 15L, 12L, 12L, 12L, 15L, 8L, 10L,      13L), WITHIN_1KM_PRISCH = c(4L, 4L, 2L, 4L, 4L, 5L, 4L, 4L,      4L, 6L, 5L, 8L, 4L, 7L, 7L, 7L, 4L, 7L, 6L, 8L), DNeighbour = c(0,      90.60562889857, 171.036769535108, 171.06209517437, 321.603839905226,      348.670069043475, 384.980458086071, 391.014085678013, 538.417361212378,      561.996345940951, 582.912956589816, 682.366917835466, 744.380743406638,      746.431090350584, 749.640641964948, 749.680773916191, 750.487019795162,      751.157679505814, 762.063159203339, 775.477049565789)), row.names = c("871",      "170", "520", "190", "99", "174", "685", "704", "902", "438",      "544", "419", "800", "298", "13", "289", "224", "992", "365",      "112"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.972883854167326,      0.90507572563011, 0.90504831346641, 0.685599670822642, 0.636551482187318,      0.567828495171639, 0.556155335014233, 0.268262860674315,      0.225430024319204, 0.189201151422425, 0.050949528951048,      0.00617657499797795, 0.00540346731738005, 0.00429333894234203,      0.00428023677968311, 0.00402111381196869, 0.00381152805788005,      0.00117621488611192, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2593322120 
R squared (OOB):                  -0.3636546 

$Forests[[872]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(258000, 285000, 288000,      3e+05, 433000, 416000, 365000, 395000, 4e+05, 420000, 292000,      415000, 315000, 428000, 320000, 283000, 418000, 367000, 412000,      4e+05), floor_area_sqm = c(84, 84, 84, 84, 92, 92, 92, 92,      92, 92, 84, 92, 84, 92, 104, 84, 92, 92, 92, 92), storey_order = c(1L,      3L, 1L, 1L, 4L, 4L, 1L, 2L, 2L, 5L, 1L, 5L, 3L, 4L, 3L, 4L,      5L, 1L, 5L, 2L), remaining_lease_mths = c(781, 776, 770,      766, 1130, 1140, 1137, 1146, 1130, 1143, 761, 1144, 804,      1140, 788, 781, 1138, 1137, 1144, 1137), PROX_CBD = c(16.1631400386504,      16.2311391435218, 16.2681803933938, 16.3138748954346, 16.055983361932,      16.055983361932, 16.0046521285213, 16.0046521285213, 16.1976566517324,      16.1537572283104, 16.3662877971208, 15.9533618390172, 15.9050437012323,      16.1831859860721, 16.4061281598547, 16.4061281598547, 16.0903666266177,      16.0903666266177, 16.0903666266177, 16.0475930141239), PROX_ELDERLYCARE = c(0.194171564025932,      0.252142982647588, 0.20801878428071, 0.259941730365991, 0.146417557277997,      0.146417557277997, 0.20718686492254, 0.20718686492254, 9.89208662673193e-07,      0.0462823216560119, 0.177020457931737, 0.251148223850536,      0.346730428331521, 0.0701319802482612, 0.45678545326778,      0.45678545326778, 0.179967723198436, 0.179967723198436, 0.179967723198436,      0.129564145964732), PROX_HAWKER = c(1.03995728027003, 1.12300848995143,      1.14155805943316, 1.19589315813724, 0.897672222950446, 0.897672222950446,      0.855932206484513, 0.855932206484513, 1.03146250928298, 0.986028325459381,      1.20613696965479, 0.802087399746937, 0.79668564149145, 1.00994702859189,      1.27662029927611, 1.27662029927611, 0.9143232220583, 0.9143232220583,      0.9143232220583, 0.872301448799324), PROX_MRT = c(0.842728374229233,      0.830985280221221, 0.896888955057001, 0.896077488488813,      0.936151237003446, 0.936151237003446, 0.883219311345816,      0.883219311345816, 1.02706758196582, 1.02112351286352, 1.07002489239586,      0.8851452059773, 0.750476153315833, 1.08237519657155, 0.840195727203247,      0.840195727203247, 1.13213387762555, 1.13213387762555, 1.13213387762555,      1.14436247830993), PROX_PARK = c(0.707513815343702, 0.723677668737743,      0.750067315759091, 0.695881850270676, 0.683762717294504,      0.683762717294504, 0.619767633008914, 0.619767633008914,      0.822565203699192, 0.793519520304926, 0.840406553837571,      0.589052524814441, 0.475878847958935, 0.848434833813522,      0.499042267647801, 0.499042267647801, 0.83568858459355, 0.83568858459355,      0.83568858459355, 0.824988291997923), PROX_GOOD_PRISCH = c(6.70927938580052,      6.76533990958697, 6.81173689796023, 6.84997592861041, 6.63421015362065,      6.63421015362065, 6.57618460349959, 6.57618460349959, 6.78043949525415,      6.74044920052795, 6.93507101526025, 6.52939634907869, 6.45664561130608,      6.78038310261662, 6.91087941258894, 6.91087941258894, 6.70919168347838,      6.70919168347838, 6.70919168347838, 6.67335529701902), PROX_MALL = c(0.0870960802892481,      0.175221521556568, 0.188162247463955, 0.242195958154985,      0.118546137622893, 0.118546137622893, 0.110811660449771,      0.110811660449771, 0.189710317758296, 0.180580587241737,      0.298590834338171, 0.161178852361569, 0.18299798168314, 0.241735562355662,      0.408074329267436, 0.408074329267436, 0.311149009276151,      0.311149009276151, 0.311149009276151, 0.339403259296736),          PROX_CHAS = c(0.081875317774622, 0.170601730776313, 0.160774225575301,          0.218904529587093, 0.110329053122027, 0.110329053122027,          0.114687044901222, 0.114687044901222, 0.0868060808909073,          0.0922372285822684, 0.209004221202181, 0.165813590617473,          0.190026772642962, 0.148113838308576, 0.178111672550416,          0.178111672550416, 0.215238065300109, 0.215238065300109,          0.215238065300109, 0.16574506375663), PROX_SUPERMARKET = c(0.0873208554119548,          0.137275095711229, 0.189660657064324, 0.204979568486045,          0.123371553336512, 0.123371553336512, 0.112847248683738,          0.112847248683738, 0.195853508350489, 0.186806037215644,          0.303085580417471, 0.162291812321236, 0.179336240856332,          0.247969406526707, 0.17811123384324, 0.17811123384324,          0.316789996913415, 0.316789996913415, 0.316789996913415,          0.344658205065017), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 5L,          6L, 4L, 3L, 3L, 3L, 3L, 8L, 8L, 8L, 3L, 4L, 7L, 4L, 4L,          2L, 2L, 2L, 2L), WITHIN_350M_BUS = c(11L, 10L, 11L, 8L,          7L, 7L, 7L, 7L, 7L, 7L, 5L, 8L, 8L, 7L, 8L, 8L, 8L, 8L,          8L, 9L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 5L, 5L,          5L, 5L, 5L, 4L, 4L, 5L, 6L, 4L, 4L, 4L, 4L, 4L, 4L, 4L         ), DNeighbour = c(0, 91.7208297911892, 101.939168512135,          152.392856248312, 183.380818927262, 188.094861312602,          192.317806570664, 192.919892432548, 193.004305497117,          199.005413110375, 244.592400113483, 244.840930435102,          255.974151703846, 257.473030229262, 323.051617498854,          329.12925663741, 353.79610342323, 357.577841533324, 358.265980447853,          390.779568562305)), row.names = c("872", "945", "798",      "848", "741", "538", "594", "408", "427", "869", "687", "124",      "59", "661", "595", "49", "249", "161", "919", "440"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.892855032832675, 0.868533621977416, 0.718972236293354,      0.608066844811287, 0.590314295076163, 0.574259861832729,      0.571960156009044, 0.571637529828368, 0.548580265427723,      0.36995356227225, 0.368985221182966, 0.325960640288007, 0.320231491816041,      0.100230411548355, 0.0844691560924583, 0.0325166268494018,      0.0264735437357221, 0.0254342454778552, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       600396478 
R squared (OOB):                  0.8353107 

$Forests[[873]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(362000, 370000, 340000,      348000, 325000, 338000, 315000, 293000, 355000, 320000, 336000,      340000, 335000, 303888, 326000, 308000, 380000, 333000, 380000,      360000), floor_area_sqm = c(94, 95, 102, 95, 90, 94, 87,      86, 94, 91, 90, 90, 90, 90, 101, 90, 93, 90, 93, 93), storey_order = c(4L,      5L, 2L, 1L, 4L, 2L, 5L, 1L, 4L, 1L, 2L, 4L, 5L, 5L, 1L, 2L,      2L, 2L, 2L, 2L), remaining_lease_mths = c(976, 977, 968,      968, 973, 1076, 1004, 1006, 1070, 980, 966, 1011, 998, 1008,      942, 948, 1132, 1009, 1136, 1135), PROX_CBD = c(18.3273029006797,      18.2449080671561, 18.6342583478867, 18.0323194354466, 18.5353901232527,      18.893500205596, 18.9558501171738, 18.9558501171738, 18.9417612550563,      18.4122801485573, 18.263890012402, 18.5954829873069, 18.976831626196,      19.0279685600245, 17.6460086713989, 17.5548574672099, 18.1279148711176,      17.8072819651564, 18.1376577985599, 18.1376577985599), PROX_ELDERLYCARE = c(2.7120525382807,      2.54228790651909, 2.72992435028626, 2.88259030935981, 3.18651864771223,      3.10102691254995, 3.04148171914245, 3.04148171914245, 3.09832013994742,      3.05606256580079, 2.93603771613334, 3.21245115339435, 3.28231449363414,      3.26154359027314, 2.69583292953839, 2.64072586785555, 2.51087611030153,      1.52664538751384, 2.49441526227585, 2.49441526227585), PROX_HAWKER = c(0.729165861663657,      0.859760115655931, 0.947673142820091, 0.459055170630849,      0.491879726860981, 0.926259022488312, 1.03425383708264, 1.03425383708264,      0.981837341088666, 0.284310921582288, 0.135415800319106,      0.468862715548992, 0.923592674397851, 0.990561993667382,      0.543702723258422, 0.624754154933827, 0.487567663506197,      0.809141875883089, 0.528296501129656, 0.528296501129656),          PROX_MRT = c(0.470919202147399, 0.597257652192269, 0.717283111076423,          0.228324090957444, 0.375479822529604, 0.777214903782309,          0.87145727172961, 0.87145727172961, 0.831940647091921,          0.34633408104891, 0.269488316579814, 0.485913485771313,          0.822784932057268, 0.880588410111357, 0.514213843772978,          0.605396305517498, 0.74928998522808, 0.753928873695942,          0.789676869843372, 0.789676869843372), PROX_PARK = c(1.51959638840156,          1.66089445329223, 1.68545701841371, 1.25712692932115,          1.15334089580929, 1.53153013283021, 1.64892029001525,          1.64892029001525, 1.58031197441792, 0.872887750975024,          0.826451671225411, 0.966363588730214, 1.4431849310919,          1.5140651316136, 0.873328686748902, 0.801838254358626,          0.317511189836545, 1.93736074272598, 0.276326305891841,          0.276326305891841), PROX_GOOD_PRISCH = c(8.6741083827629,          8.59525181849715, 8.98296462693421, 8.37645219680457,          8.87993213136606, 9.23793284137011, 9.30119351841798,          9.30119351841798, 9.2863930262578, 8.76068312560123,          8.61262144573917, 8.94334048589707, 9.32093903042593,          9.37202430611723, 7.99076792195858, 7.89964805631792,          8.49670627721454, 8.21423979230025, 8.50873818737911,          8.50873818737911), PROX_MALL = c(0.437943127987326, 0.537890109309282,          0.719594778264249, 0.12060760008054, 0.460655941356388,          0.833273819621717, 0.918650450187965, 0.918650450187965,          0.886414086630636, 0.458641270318743, 0.374925429890344,          0.594166870248601, 0.897736377807805, 0.951179576311185,          0.441435937338541, 0.456293365362214, 0.819155488013484,          0.745769461616378, 0.814982856398022, 0.814982856398022         ), PROX_CHAS = c(0.319053536773146, 0.274147949012332,          0.294409401108374, 0.120607657412939, 0.165734202429707,          0.143741090403558, 0.067384164825537, 0.067384164825537,          0.0880613138842689, 0.182706372800723, 0.0541347282504724,          0.186588167457245, 0.237819060284531, 0.184556275618948,          0.441435968696221, 0.456293399812874, 0.0462043949149095,          0.195830090979757, 0.0547102897319272, 0.0547102897319272         ), PROX_SUPERMARKET = c(0.198027823348086, 0.161035318973668,          0.247755307750907, 0.119017844673248, 0.167679568764744,          0.218188374485768, 0.102761308178796, 0.102761308178796,          0.175726554209016, 0.182706945219403, 0.0541355525390397,          0.195869762300225, 0.322795161753339, 0.3125742651816,          0.446325988440648, 0.425112192123464, 0.467157902200199,          0.265666518411173, 0.504768063926141, 0.504768063926141         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 0L, 2L, 3L, 2L, 1L, 1L, 0L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 4L, 4L, 4L, 7L, 4L,          4L, 4L, 4L, 7L, 5L, 4L, 4L, 2L, 2L, 2L, 3L, 2L, 2L, 2L         ), WITHIN_350M_BUS = c(12L, 9L, 5L, 14L, 12L, 8L, 8L,          8L, 8L, 12L, 11L, 10L, 9L, 6L, 11L, 8L, 10L, 4L, 10L,          10L), WITHIN_1KM_PRISCH = c(5L, 5L, 4L, 4L, 5L, 4L, 4L,          4L, 4L, 5L, 4L, 5L, 4L, 4L, 3L, 2L, 2L, 3L, 2L, 2L),          DNeighbour = c(0, 178.22863736979, 316.149686850326,          386.801747755098, 473.324399899392, 595.499683290806,          628.149003327911, 631.929556697751, 638.236448114503,          689.47810499492, 695.380670705788, 713.199843852878,          736.354005368509, 762.30041998931, 811.789021121886,          888.890379232957, 1205.95023719812, 1219.28895182225,          1243.54919121935, 1251.60801552768)), row.names = c("873",      "5", "7", "354", "838", "745", "52", "951", "932", "722",      "548", "901", "915", "570", "456", "514", "461", "358", "285",      "378"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.959855820946907,      0.876462693484462, 0.818105605722246, 0.734423558950072,      0.598497306208817, 0.559687878633454, 0.555147043819225,      0.547552874750193, 0.48516521338399, 0.47792327757146, 0.456026536953506,      0.427548694031907, 0.39570361117335, 0.335614120087099, 0.245637017229895,      0.00513054911173995, 0.00259868398998033, 0.000164765340137455,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       374575683 
R squared (OOB):                  0.3700998 

$Forests[[874]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(460000, 415000, 418000,      420000, 435000, 436000, 440000, 420000, 440000, 456500, 395000,      365000, 441000, 445000, 425000, 358000, 420000, 450000, 415000,      450000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 94, 94, 93, 94, 94, 93, 94, 94, 94, 93), storey_order = c(7L,      8L, 6L, 6L, 2L, 7L, 8L, 5L, 5L, 8L, 4L, 1L, 6L, 6L, 6L, 1L,      7L, 7L, 6L, 9L), remaining_lease_mths = c(1125, 1140, 1129,      1142, 1128, 1139, 1142, 1132, 1124, 1144, 1113, 1095, 1097,      1109, 1119, 1103, 1120, 1119, 1120, 1136), PROX_CBD = c(12.02897658153,      12.02897658153, 12.02897658153, 12.02897658153, 12.042332185553,      12.042332185553, 12.042332185553, 12.042332185553, 12.0234479092478,      11.9527102757424, 11.9744040829633, 11.7965908296893, 11.8078122246038,      12.1122271384014, 11.9828723130509, 11.8075546541859, 12.0119641769274,      12.0119641769274, 11.7484946081343, 12.1741021183779), PROX_ELDERLYCARE = c(0.841755023464642,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.938035651111226, 0.819362766143575,      0.738781707341689, 1.00802268588986, 0.95260617550949, 0.629785153682861,      0.710325725805382, 0.922118515238085, 0.673044116243487,      0.673044116243487, 1.16050252277995, 0.519600844901231),          PROX_HAWKER = c(0.409616357379742, 0.409616357379742,          0.409616357379742, 0.409616357379742, 0.369655971945997,          0.369655971945997, 0.369655971945997, 0.369655971945997,          0.507473565259923, 0.27814297307049, 0.217370340361849,          0.337854809554552, 0.262687630178652, 0.337796349528525,          0.20448046373977, 0.209140712961875, 0.222580914455278,          0.222580914455278, 0.512143004921159, 0.375471053349032         ), PROX_MRT = c(0.331072457322778, 0.331072457322778,          0.331072457322778, 0.331072457322778, 0.298263347673859,          0.298263347673859, 0.298263347673859, 0.298263347673859,          0.394231498000209, 0.200702114351669, 0.167322140356011,          0.249549573241666, 0.173777829752023, 0.302747284955937,          0.170867756883987, 0.120215557602138, 0.201095784108649,          0.201095784108649, 0.425815084561206, 0.338849049026276         ), PROX_PARK = c(0.529446955515876, 0.529446955515876,          0.529446955515876, 0.529446955515876, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.542226246468638,          0.506408767470305, 0.643017670933737, 0.679906922269617,          0.739061594864021, 0.746013140888617, 0.576425078157325,          0.697136724289492, 0.747098338531098, 0.691047645736797,          0.691047645736797, 0.660489483199184, 0.612679613149166         ), PROX_GOOD_PRISCH = c(2.36775586018775, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.39172047379238, 2.270018309959, 2.27223739349538, 2.14271827973834,          2.13533890725473, 2.408030235171, 2.27447890050516, 2.12338877581429,          2.29976812492723, 2.29976812492723, 2.14657014261275,          2.45580221931744), PROX_MALL = c(0.358721564938295, 0.358721564938295,          0.358721564938295, 0.358721564938295, 0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.441394824612777, 0.232344363503357, 0.214069216816763,          0.241737870027575, 0.17025857997445, 0.350899017798137,          0.220402811054307, 0.119447773727589, 0.251262654177611,          0.251262654177611, 0.411213390710639, 0.416829357908565         ), PROX_CHAS = c(0.25157977989641, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.223839041128234, 0.146038815472653, 0.0939357367291076,          0.101692541492014, 0.170258520163124, 0.0703863092474096,          0.0995919009989899, 0.11944771257822, 0.131248018016709,          0.131248018016709, 0.0876622280470988, 0.0461624602204791         ), PROX_SUPERMARKET = c(0.314501000490003, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.244018176385425, 0.237998550380205, 0.22318738818849,          0.17897337633635, 0.168966076328732, 0.360308355053667,          0.230351837454113, 0.119571834445138, 0.261515416493987,          0.261515416493987, 1.21715176356525e-07, 0.427183407476201         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 2L, 5L, 7L, 3L, 4L, 7L, 6L, 4L, 6L, 6L, 2L, 7L         ), WITHIN_350M_BUS = c(11L, 11L, 11L, 11L, 10L, 10L,          10L, 10L, 10L, 12L, 10L, 9L, 11L, 7L, 7L, 10L, 6L, 6L,          11L, 5L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L         ), DNeighbour = c(0, 4.08885968934772, 4.16860475045436,          4.50788215387077, 59.2620125525408, 60.5178527379372,          60.7391835467996, 62.1513817967966, 118.380330005515,          136.287947165541, 213.94941154701, 228.780078216917,          230.022628317407, 231.906971154837, 246.666849629767,          252.913945921547, 269.625781948084, 274.706269713989,          333.44208050365, 338.920701293191)), row.names = c("874",      "287", "700", "318", "908", "573", "16", "634", "502", "749",      "858", "41", "439", "607", "203", "724", "167", "947", "441",      "621"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999708923856711,      0.999697460287705, 0.999646214121257, 0.939786177323742,      0.937248869883943, 0.936796537504595, 0.933874192009892,      0.770882486002915, 0.70274146688586, 0.361804817367565, 0.296306824087748,      0.290928336675694, 0.282811233742456, 0.221187357392412,      0.196369265101435, 0.134771454585425, 0.117674342345307,      0.00102838901158726, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       813893870 
R squared (OOB):                  -0.09625147 

$Forests[[875]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(368888, 380000, 395000,      4e+05, 394000, 375000, 378000, 378000, 333000, 324000, 320000,      310000, 330000, 345000, 335000, 375000, 373888, 333000, 320000,      345000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      100, 90, 100, 91, 102, 102, 100, 93, 93, 90, 101, 102), storey_order = c(4L,      4L, 3L, 4L, 5L, 2L, 3L, 2L, 4L, 4L, 4L, 4L, 1L, 2L, 4L, 5L,      5L, 2L, 1L, 4L), remaining_lease_mths = c(1143, 1135, 1132,      1145, 1142, 1135, 1133, 1136, 928, 929, 930, 927, 911, 927,      930, 993, 990, 1009, 924, 926), PROX_CBD = c(18.528449956106,      18.528449956106, 18.4477570786683, 18.4659506582063, 18.5586196198757,      18.5586196198757, 18.5541585191533, 18.6831604018118, 18.2095446148373,      18.3448727328387, 18.242108360018, 18.6571260927441, 18.2320763538069,      18.2868848905217, 17.9186379864086, 17.8363687874637, 17.8363687874637,      17.8072819651564, 18.0902268845521, 18.236688278315), PROX_ELDERLYCARE = c(1.49671415705568,      1.49671415705568, 1.45029388933935, 1.40960952841152, 1.41981179339616,      1.41981179339616, 1.3934670212363, 1.47678345842271, 1.17430183890643,      1.12000720290482, 1.08331104464233, 1.27166470727688, 0.927534095024191,      0.896456720381782, 1.13507400842797, 1.40920769604983, 1.40920769604983,      1.52664538751384, 0.706169610995159, 0.732088251039709),          PROX_HAWKER = c(0.947708217710491, 0.947708217710491,          0.879695992543251, 0.861254406292383, 0.915906485722884,          0.915906485722884, 0.899006211509986, 1.01746494726896,          0.579651089601917, 0.636376603494217, 0.548257960059823,          0.924657565926692, 0.493410913505403, 0.547085889030319,          0.435091735724103, 0.692541487012902, 0.692541487012902,          0.809141875883089, 0.370412154176866, 0.537987121264097         ), PROX_MRT = c(0.869531291623609, 0.869531291623609,          0.801027338961469, 0.783375472664302, 0.839968978875504,          0.839968978875504, 0.823747240068891, 0.943619619760125,          0.501132314022455, 0.565211037998289, 0.47401652613315,          0.861078471223358, 0.433316978327494, 0.495991449430539,          0.364011265623101, 0.634260663268818, 0.634260663268818,          0.753928873695942, 0.341202563029131, 0.511061821383635         ), PROX_PARK = c(2.37596217173297, 2.37596217173297,          2.38376543636855, 2.321508063195, 2.25577949184332, 2.25577949184332,          2.22642888666982, 2.2148581526701, 2.25371860749481,          2.08056453235766, 2.12857307310705, 1.95136051888807,          1.96114614265628, 1.86697967968657, 2.31505119222808,          2.04440878541867, 2.04440878541867, 1.93736074272598,          1.8531048262974, 1.7164330470264), PROX_GOOD_PRISCH = c(8.9605147002348,          8.9605147002348, 8.8804818877731, 8.90481615501782, 9.00274768401056,          9.00274768401056, 9.00155567304774, 9.12987022396436,          8.6635222339794, 8.81498363377987, 8.71021480286832,          9.13456945987866, 8.72297519828522, 8.78822500750919,          8.3676789538936, 8.25468587074647, 8.25468587074647,          8.21423979230025, 8.60631027953587, 8.76378557853615),          PROX_MALL = c(0.613385110580272, 0.613385110580272, 0.601716003339109,          0.542775018358786, 0.5054917244252, 0.5054917244252,          0.475387173022169, 0.525391611000181, 0.468966497593582,          0.284195187673565, 0.347669457974494, 0.300602441432182,          0.22704735136933, 0.1450338527091, 0.384238747959315,          0.630636123898788, 0.630636123898788, 0.745769461616378,          0.342860958869265, 0.240339889961931), PROX_CHAS = c(0.220932244035638,          0.220932244035638, 0.260006933015678, 0.20305264112251,          0.101888085354885, 0.101888085354885, 0.0809306171135589,          0.090990597005735, 0.3998394205418, 0.24769320941352,          0.274735402884708, 0.214120710257936, 0.11607611654581,          0.0217240252323136, 0.360842629752134, 0.221589023831152,          0.221589023831152, 0.195830090979757, 0.209799590563819,          0.184864523484869), PROX_SUPERMARKET = c(0.220931072377982,          0.220931072377982, 0.260005577706646, 0.203051245143547,          0.101886801165025, 0.101886801165025, 0.080929224247632,          0.0909910491430168, 0.402574253870019, 0.284194910851331,          0.347668959247477, 0.214121714630789, 0.227046556279957,          0.145032957963293, 0.360842909613722, 0.22158921197453,          0.22158921197453, 0.265666518411173, 0.342860053820009,          0.240339157209448), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 2L, 2L, 1L,          1L, 1L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 2L, 5L, 3L, 3L, 5L, 7L, 1L, 3L,          3L, 2L, 6L, 6L), WITHIN_350M_BUS = c(6L, 6L, 8L, 6L,          5L, 5L, 8L, 5L, 8L, 8L, 7L, 8L, 10L, 9L, 11L, 6L, 6L,          4L, 7L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 4L, 4L,          4L, 4L, 3L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 3L, 3L, 5L,          6L), DNeighbour = c(0, 1.75979912924186, 85.2701473073239,          96.9084310056977, 124.648190891974, 126.898658082227,          148.60771996107, 216.471236332974, 371.071111140938,          383.34570512415, 421.969575446272, 434.691155518326,          577.828418819656, 626.354851372391, 626.394374029313,          716.749798132804, 717.593350647269, 777.623340542774,          791.324884341856, 803.868754871672)), row.names = c("875",      "102", "504", "777", "581", "35", "563", "664", "243", "512",      "608", "761", "443", "787", "590", "118", "391", "358", "74",      "227"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999990415160285,      0.977622914615022, 0.971145369442493, 0.952490660442084,      0.950781484899001, 0.932817334546203, 0.860227729421181,      0.619242079467637, 0.596894217111915, 0.524835556561964,      0.500684475490687, 0.233591498380327, 0.154359028869125,      0.154298829263948, 0.0420267017061659, 0.0412625145997283,      0.00412572544032611, 0.000958847079060092, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       309505958 
R squared (OOB):                  0.6277968 

$Forests[[876]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(540000, 415000, 475000,      7e+05, 578888, 670000, 463888, 525000, 558000, 348000, 421000,      490000, 380000, 410000, 372500, 315000, 420000, 392000, 425000,      433000), floor_area_sqm = c(92, 92, 93, 92, 95, 92, 95, 95,      92, 100, 93, 92, 92, 93, 102, 91, 93, 103, 108, 92), storey_order = c(6L,      2L, 4L, 4L, 2L, 5L, 1L, 5L, 6L, 3L, 4L, 3L, 1L, 4L, 2L, 1L,      2L, 2L, 3L, 4L), remaining_lease_mths = c(1142, 1130, 1130,      1126, 1134, 1121, 1140, 1141, 1136, 938, 789, 1038, 1037,      788, 931, 790, 1099, 833, 820, 1084), PROX_CBD = c(11.3687765497058,      11.3687765497058, 11.4536743231806, 11.1573644039326, 11.5493041544933,      11.0595651330709, 11.4133195883395, 11.6190928108465, 11.665784828589,      11.8646943012694, 10.8005053894847, 11.6213283462416, 11.6419253241709,      10.7402382849343, 11.9627383543319, 10.6917699702976, 11.8999896789117,      10.8307618753175, 10.7884209511687, 11.8702915361943), PROX_ELDERLYCARE = c(1.27208236570677,      1.27208236570677, 1.19895989384568, 1.34447435494956, 1.47184415110161,      1.41694161867716, 1.61512702812623, 1.40356458884146, 1.35367167055226,      0.893707553155367, 1.11154389564577, 0.621923465733728, 0.626216066088841,      1.05196585123006, 0.96089261866182, 1.07660186858624, 0.790393757138983,      1.12487398858542, 1.11323464510705, 0.670900780040593), PROX_HAWKER = c(1.07923254025891,      1.07923254025891, 1.02903329925728, 1.10011050744246, 1.35052465166479,      1.19495083476736, 1.4377955077332, 1.37423229702662, 1.3549106116919,      0.888626336009462, 0.918995125488027, 0.537052085835962,      0.553081930127745, 1.02652926791064, 0.983415578941634, 1.35937058559257,      0.820501997631561, 0.775872885593274, 0.812377793689625,      0.715369360111721), PROX_MRT = c(0.671331594421278, 0.671331594421278,      0.573574303209013, 0.876646963171676, 0.653877184653349,      0.991329354536752, 0.8250506195824, 0.615423035680267, 0.561684506891731,      0.214047355776769, 0.566932323762424, 0.182944945438028,      0.168432978085695, 0.546812793492647, 0.122900516984256,      0.753106278920522, 0.261250382411254, 0.568072215940967,      0.526269526678983, 0.146531371307633), PROX_PARK = c(0.294690087030438,      0.294690087030438, 0.341254943367627, 0.189026691537682,      0.597750851398377, 0.275833477585303, 0.60176146852012, 0.654992910383756,      0.671016599957339, 0.747986195716587, 0.370936327890873,      0.643411448820926, 0.654970873229416, 0.401614025373747,      0.836149627657164, 0.536819237128991, 0.813614799778521,      0.443949121553361, 0.467051942358664, 0.8322137924942), PROX_GOOD_PRISCH = c(2.95589454100459,      2.95589454100459, 2.96812409551872, 2.83177349547833, 3.26501815247482,      2.8385375863655, 3.26097143466547, 3.31796907605439, 3.32537175969635,      3.05097986431403, 2.34700895725274, 2.69528593883292, 2.71543842399088,      2.39141973384207, 3.15511978010431, 2.68318776685765, 3.00567179865442,      2.22887532154294, 2.2131785217075, 2.91053685401804), PROX_MALL = c(0.814743407183115,      0.814743407183115, 0.714729745574342, 0.831480717149744,      0.808458836713889, 0.76911725394793, 0.979751787656279, 0.768943294332632,      0.714662485508778, 0.265637621954407, 0.363372953846058,      0.597386337892971, 0.576398809288588, 0.344610557976029,      0.161680393170103, 0.459259689573629, 0.283076960540796,      0.384053234723219, 0.340751907865098, 0.385092319171944),          PROX_CHAS = c(0.257507761616553, 0.257507761616553, 0.31407050179696,          0.0819321575559949, 0.0498455969042401, 0.0661119226245057,          0.136218265087875, 0.119929951445322, 0.167944095298073,          0.265637621677666, 0.111289200730163, 0.130352204164602,          0.118628580179885, 0.106045676778667, 0.161680400961643,          0.0626028682349028, 0.283076936045466, 0.2644107607892,          0.260152478655286, 0.179381733260264), PROX_SUPERMARKET = c(0.30094246041235,          0.30094246041235, 0.345653574215055, 0.408274605358357,          0.0982179911218008, 0.444069124865739, 0.0830307595499944,          0.16327623873727, 0.215917356790886, 0.211091622880127,          0.386863986973968, 0.0679201472407272, 0.0879874709963817,          0.357992185767737, 0.107037284539066, 0.550262392018624,          0.236972988988714, 0.407226974513028, 0.363982132031921,          0.31749021679057), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          0L, 1L, 0L, 2L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 2L, 0L, 1L,          0L, 2L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L,          3L, 3L, 3L, 3L, 2L, 1L, 7L, 3L, 6L, 6L, 3L, 8L, 3L, 7L,          4L, 3L, 9L), WITHIN_350M_BUS = c(10L, 10L, 8L, 6L, 4L,          9L, 4L, 3L, 4L, 8L, 9L, 8L, 8L, 6L, 9L, 7L, 9L, 11L,          8L, 10L), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 3L, 2L, 3L,          1L, 2L, 2L, 5L, 5L, 6L, 5L, 5L, 4L, 3L, 5L, 6L, 6L, 5L         ), DNeighbour = c(0, 6.70705397834385, 100.791748745121,          213.889460784545, 309.79232582869, 317.31804733578, 359.369999554983,          363.346898711284, 375.120648215908, 609.598987756946,          659.919609601882, 664.236675055038, 672.261400808486,          672.719010407611, 673.73992952473, 691.268737189775,          713.988572051754, 741.226436304307, 765.314419699942,          774.541460343911)), row.names = c("876", "157", "132",      "425", "772", "407", "303", "160", "830", "232", "56", "89",      "421", "6", "295", "569", "185", "743", "696", "110"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999850035668583, 0.966418678697744, 0.853297978386523,      0.705642092487759, 0.692487219785918, 0.615792780857695,      0.608296549771909, 0.585899511952087, 0.144826035106336,      0.0751162131580269, 0.0699838266920781, 0.0608445918401697,      0.0603395136325859, 0.0592190553422814, 0.041398283225377,      0.0225738819250405, 0.00708544271534724, 0.000560926991707986,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10483777360 
R squared (OOB):                  -0.005116079 

$Forests[[877]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(420000, 428000, 395000,      325000, 425000, 431000, 395000, 426000, 410000, 360000, 3e+05,      333000, 330000, 355000, 308000, 315000, 360000, 365000, 295000,      347000), floor_area_sqm = c(90, 90, 90, 84, 92, 92, 92, 92,      92, 99, 84, 103, 103, 103, 84, 84, 103, 103, 106, 103), storey_order = c(8L,      8L, 5L, 2L, 6L, 9L, 4L, 6L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 3L,      1L, 4L, 1L, 3L), remaining_lease_mths = c(1011, 1008, 1010,      783, 1006, 1010, 1010, 1012, 1004, 796, 797, 788, 800, 793,      795, 788, 777, 768, 825, 777), PROX_CBD = c(13.8798013735997,      13.8412030491349, 13.990153115514, 14.1279251783367, 14.0603534116893,      14.0603534116893, 14.0603534116893, 14.0324943086614, 14.000256381606,      13.8977069202737, 14.3169519114025, 14.3532733654858, 13.46147060752,      13.46147060752, 13.3304860768802, 13.0463978034086, 13.7231688188033,      12.6612960596841, 14.7220636963442, 12.4516179583977), PROX_ELDERLYCARE = c(1.77270985488013,      1.74703283433278, 1.56992496550613, 1.66641228888996, 1.50084223071099,      1.50084223071099, 1.50084223071099, 1.51384309451853, 1.50178268661881,      1.56746404607568, 1.55261218152075, 1.6760601574403, 1.01995663096129,      1.01995663096129, 0.85382998667073, 0.612412426395362, 0.681177733621966,      0.349885373003571, 0.327768156942021, 0.517665393733001),          PROX_HAWKER = c(1.47024255459416, 1.43519165592487, 1.69002608854433,          1.24304803992561, 1.69193386873811, 1.69193386873811,          1.69193386873811, 1.73133481154049, 1.77005964815816,          1.04237506554324, 1.19367588944735, 0.99569743308136,          1.03983060555389, 1.03983060555389, 1.09459947163448,          1.36023111372333, 0.601426993813282, 1.71720286170745,          1.39864823048803, 1.97187302693261), PROX_MRT = c(0.523014705157119,          0.462396576385451, 0.789673249073619, 0.59155533687368,          0.836549486170002, 0.836549486170002, 0.836549486170002,          0.85175230125279, 0.865600228728207, 0.300373388684648,          0.753004841751307, 0.756418829435307, 0.367668143276235,          0.367668143276235, 0.525688124362732, 0.622051877914657,          0.498221170198522, 0.798149237832703, 0.0523025726452692,          1.07246547116041), PROX_PARK = c(0.782127938386311, 0.752068597068081,          0.716145735764812, 1.00515750023779, 0.66093693759156,          0.66093693759156, 0.66093693759156, 0.65310707550057,          0.652876507033438, 0.782220037546154, 1.00962818739137,          1.20426051281307, 0.582693033366388, 0.582693033366388,          0.620743454357064, 0.572775970192077, 1.26781451063295,          0.722272593032778, 0.432331111477529, 0.540079114132334         ), PROX_GOOD_PRISCH = c(3.87304276717541, 3.82728738248792,          4.0269654833207, 4.09179045416031, 4.09775909461572,          4.09775909461572, 4.09775909461572, 4.07805978762992,          4.05408625233137, 3.83525569342672, 4.27446656255715,          4.29145341198416, 3.38131302543864, 3.38131302543864,          3.24954726475941, 2.96540091825049, 3.673854441535, 2.58047246486208,          4.99661753747661, 2.37408427308534), PROX_MALL = c(1.33861894221302,          1.33339622609195, 1.32125061115982, 1.48884664162065,          1.38265334141638, 1.38265334141638, 1.38265334141638,          1.34360210764349, 1.30130189944441, 1.14150204308926,          1.50622914679999, 1.45738633765159, 0.644549177151603,          0.644549177151603, 0.513372166694422, 0.587476612974174,          0.406890039239853, 0.817237002784756, 0.343882807046916,          1.09246464633101), PROX_CHAS = c(0.058882652003164, 0.116038559859119,          0.231188025602735, 0.283027750434604, 0.266609427013402,          0.266609427013402, 0.266609427013402, 0.288579392766018,          0.313291309929199, 0.162936326565904, 0.149961616171305,          0.0428610630237518, 0.348399033159575, 0.348399033159575,          0.472814153962233, 0.40513819943783, 0.176857487498571,          0.248450831201433, 0.141205029857343, 0.137011223676854         ), PROX_SUPERMARKET = c(0.0588826520022197, 0.116038559858059,          0.231188025603748, 0.283027750434408, 0.266609427014493,          0.266609427014493, 0.266609427014493, 0.288579392767071,          0.313291309930196, 0.162936951836525, 0.277976240278344,          0.400567683079086, 0.356146193343619, 0.356146193343619,          0.510727353781082, 0.599997973636583, 0.270532795629183,          0.326739034058403, 0.141204847242777, 0.417679622168911         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 0L, 0L,          0L, 0L, 0L, 0L, 3L, 2L, 1L, 1L, 1L, 2L, 0L, 2L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 1L, 3L, 1L, 1L,          1L, 1L, 1L, 4L, 3L, 3L, 3L, 3L, 4L, 2L, 4L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(5L, 5L, 4L, 10L, 4L, 4L, 4L, 4L,          3L, 5L, 9L, 10L, 6L, 6L, 5L, 7L, 8L, 12L, 8L, 9L), WITHIN_1KM_PRISCH = c(2L,          3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 3L,          4L, 3L, 3L, 2L, 3L), DNeighbour = c(0, 63.6307907839969,          274.108279993001, 306.48122719868, 312.044129453597,          317.02205940295, 318.129018636661, 330.607624334067,          352.217049295053, 444.851915449464, 489.568026910154,          633.676380700443, 881.688140663309, 889.657040314806,          1047.52233235075, 1208.30331458288, 1453.41876026083,          1509.77284612426, 1519.31157152265, 1588.36117452211)), row.names = c("877",      "678", "276", "893", "241", "55", "805", "675", "726", "479",      "650", "697", "526", "332", "61", "987", "960", "552", "786",      "851"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996792863228099,      0.941324042136132, 0.926923399714756, 0.92429915327321, 0.921914076104161,      0.921378991655001, 0.91522922529817, 0.904072948879602, 0.849274558212373,      0.819023430977021, 0.707010313324324, 0.478686561995546,      0.470975768767295, 0.319294268731469, 0.177493773296444,      0.0264700939187702, 0.00931364012754509, 0.00723428941403457,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       711060573 
R squared (OOB):                  0.6757555 

$Forests[[878]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(435000, 437000, 450000,      450000, 403000, 470000, 452000, 485000, 465000, 460000, 455000,      545000, 475000, 412000, 460000, 370000, 455000, 365000, 374000,      425000), floor_area_sqm = c(94, 94, 94, 95, 90, 93, 95, 95,      95, 92, 92, 93, 92, 90, 92, 90, 93, 90, 94, 92), storey_order = c(2L,      3L, 4L, 3L, 3L, 5L, 3L, 6L, 4L, 3L, 5L, 3L, 5L, 3L, 3L, 3L,      4L, 3L, 3L, 3L), remaining_lease_mths = c(1113, 1120, 1123,      1126, 1053, 1125, 1121, 1113, 1110, 1097, 1108, 1134, 1098,      1034, 1107, 997, 1096, 979, 987, 1059), PROX_CBD = c(14.0214886887106,      14.0691382395842, 14.0429369190019, 14.1366846915735, 14.2313196249897,      14.2374266118925, 14.2856092918761, 14.2445424628862, 14.3101587663686,      14.2694643570804, 14.2694643570804, 14.4432157047801, 14.3437499696049,      13.9701294998534, 14.2518409016409, 13.5299248791723, 14.3469943525049,      13.6373310118807, 13.4804039164095, 13.6873856248974), PROX_ELDERLYCARE = c(1.04333655871926,      1.08280856328681, 1.1015647640471, 1.17371591683522, 1.23431696680562,      1.2819446304668, 1.29536834443332, 1.24643506877499, 1.29024298571696,      1.14423906696184, 1.14423906696184, 1.44181352445962, 1.14464302293932,      0.798789790509628, 0.985840321219444, 0.737190256849548,      1.07571195137499, 0.753498484846986, 0.746393599063579, 0.720975229682918     ), PROX_HAWKER = c(1.2014358291776, 1.21079813450924, 1.07710025413616,      1.09084844555913, 1.20453145676494, 1.02089221118434, 1.14967766552968,      0.968852406622053, 0.961388959141492, 0.826638245470088,      0.826638245470088, 1.1926703176924, 0.74882220835846, 0.796241674024292,      0.656651462258042, 1.28441999759135, 0.654543769257927, 1.08343538740726,      1.28815813567136, 1.83406121528111), PROX_MRT = c(0.325652198483679,      0.281224364060027, 0.324573358240557, 0.218319465176875,      0.14509881944895, 0.148741201515391, 0.0748886383392391,      0.184117552261459, 0.148967878322013, 0.30438768875815, 0.30438768875815,      0.142722405117506, 0.217663394995295, 0.262922949537813,      0.189142279194464, 0.189597864599581, 0.131478587775223,      0.0904459633140829, 0.26513727845816, 0.19923660487806),          PROX_PARK = c(0.524931496780237, 0.468913262301943, 0.58019258504408,          0.474063272255088, 0.30799989212087, 0.440474428767772,          0.297003339879563, 0.481320095248247, 0.444639968372477,          0.599699049952129, 0.599699049952129, 0.164631246691225,          0.636899975343007, 0.929619749314005, 0.785709089572823,          0.695004999747215, 0.731552922713316, 0.802899104641211,          0.640650351334918, 0.855123415409032), PROX_GOOD_PRISCH = c(5.02043421457898,          5.07622831499557, 4.9857651679507, 5.09375212835948,          5.24106386657147, 5.16870486361587, 5.27158847877433,          5.1542412945362, 5.21803047984022, 5.12184985907385,          5.12184985907385, 5.44062149940817, 5.1680916684458,          4.76155598853922, 5.03443000866885, 4.45977917937361,          5.13548460888622, 4.47444600576345, 4.38951064564596,          4.98236347160825), PROX_MALL = c(0.399157770965225, 0.352184781664103,          0.401409437181884, 0.295276560881227, 0.200492724858517,          0.22058685557285, 0.136646142991964, 0.248497232357685,          0.199960318099191, 0.351657486288216, 0.351657486288216,          0.0864828813466827, 0.38589862433106, 0.698652085628877,          0.535261743386166, 0.598877544697789, 0.480981762762808,          0.719665126414215, 0.548104683226502, 0.138188079312201         ), PROX_CHAS = c(0.142774662207743, 0.167321001424632,          0.0207330025336023, 0.0995517477546361, 0.200492722653611,          0.177995101264401, 0.136646133179357, 0.185564313785613,          0.199960275799137, 0.120456720485379, 0.120456720485379,          0.0864829242311455, 0.0401042229543167, 0.224338502615803,          0.121511881264649, 0.124645472322039, 0.0578525184286013,          0.111923036871509, 0.196586841411628, 0.138188055488585         ), PROX_SUPERMARKET = c(0.142773459146917, 0.167319845962294,          0.0207321820187816, 0.0995512052866983, 0.210915135620544,          0.177995229543633, 0.146294584623949, 0.185564776027004,          0.199173279096103, 0.244158473149448, 0.244158473149448,          0.0916346746399726, 0.165776473264822, 0.281017798180362,          0.121511691834874, 0.181636181040517, 0.0704323341151683,          0.371011221099329, 0.253358431108118, 0.147450463248511         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 0L,          0L, 1L, 1L, 1L, 1L, 0L, 1L, 2L, 2L, 4L, 1L, 2L, 3L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 8L, 6L, 8L, 6L, 8L,          6L, 9L, 8L, 10L, 10L, 4L, 8L, 7L, 10L, 5L, 7L, 6L, 5L,          6L), WITHIN_350M_BUS = c(9L, 9L, 9L, 8L, 6L, 6L, 8L,          7L, 6L, 9L, 9L, 5L, 8L, 13L, 9L, 8L, 8L, 11L, 9L, 7L),          WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 7L, 6L, 7L, 7L, 7L,          7L, 6L, 6L, 5L, 5L, 8L, 6L, 6L, 4L, 8L, 5L, 5L), DNeighbour = c(0,          51.5101853996313, 128.962544341494, 142.346244287668,          224.220067212584, 244.093080260117, 269.849023047067,          277.693332024736, 327.321415293489, 396.262569867646,          401.223846887993, 432.826443133284, 489.523235306034,          521.016039048164, 546.964788727004, 562.650677537138,          571.002625662405, 606.160608154814, 633.043414610701,          634.691241062754)), row.names = c("878", "57", "754",      "76", "283", "537", "32", "349", "142", "434", "470", "240",      "70", "301", "73", "165", "488", "660", "72", "4"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.986870185519304, 0.919132649068189, 0.901930303135653,      0.765970331087112, 0.72606410720243, 0.671144386141981, 0.653788371734297,      0.538807972889191, 0.372344851934715, 0.360454763556731,      0.28616816535413, 0.164130823454236, 0.106359710747238, 0.066220623370658,      0.0458501285338702, 0.0363368853232605, 0.00772347342430179,      2.68924051697972e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1282539974 
R squared (OOB):                  0.2956041 

$Forests[[879]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(408000, 405000, 355000,      389000, 340000, 330000, 373000, 418888, 335000, 376000, 390000,      330000, 485000, 455000, 398000, 369000, 375000, 325000, 385000,      360000), floor_area_sqm = c(100, 102, 91, 103, 91, 91, 103,      100, 84, 101, 101, 84, 93, 93, 100, 94, 90, 84, 101, 104),          storey_order = c(5L, 3L, 3L, 2L, 1L, 4L, 1L, 2L, 2L,          2L, 4L, 4L, 7L, 3L, 2L, 5L, 5L, 5L, 3L, 2L), remaining_lease_mths = c(916,          928, 763, 863, 786, 777, 870, 932, 791, 948, 932, 806,          1137, 1139, 924, 942, 946, 812, 952, 804), PROX_CBD = c(9.71665400465424,          9.51108523911647, 9.41668106440496, 9.90721965789512,          9.37335060635629, 9.37335060635629, 9.95029435977204,          9.64941173000682, 9.13853516155078, 10.1515839247586,          10.247812625002, 9.63621863936401, 10.5587309121129,          10.5974154418399, 10.2027088676681, 10.5038890156487,          10.5038890156487, 9.87023127008802, 10.5394819073022,          10.0879656312395), PROX_ELDERLYCARE = c(1.86385802759073,          1.80905665624389, 1.6892356184521, 2.17440400131014,          1.66235796621519, 1.66235796621519, 2.09611483432966,          1.9510043332774, 1.86142420062345, 1.93850967877536,          1.89270432318243, 1.48805339077067, 1.80931542236799,          1.80859644276987, 1.63738856945076, 1.64894906385774,          1.64894906385774, 1.35138892750767, 1.55101586165687,          1.31022889057949), PROX_HAWKER = c(1.14805608329678,          0.978663880778012, 0.864780296064508, 1.08766938871094,          0.823170476035045, 0.823170476035045, 0.876506442172381,          0.940071074791988, 0.823671555860494, 0.608980172673109,          0.561647681218514, 0.677896697868769, 0.792644050178693,          0.832920293493618, 0.264427923442986, 0.53455823354733,          0.53455823354733, 0.410023469086153, 0.463304434183495,          0.196699811405185), PROX_MRT = c(2.10187463598542, 1.99882067476962,          2.02952953118228, 1.9078610258369, 2.01327082024864,          2.01327082024864, 1.8917195123599, 1.69853939108909,          1.58022074581844, 1.73271025710532, 1.63637339364314,          1.32502198166586, 1.33157685526365, 1.28588132880872,          1.392302848886, 1.36742764633517, 1.36742764633517, 1.23646610314009,          1.31136747445593, 1.09046737609619), PROX_PARK = c(0.706984478917025,          0.674672834209049, 0.564264159971047, 0.551504280527303,          0.548771819269344, 0.548771819269344, 0.516721166595223,          0.624691995850973, 0.533109662164166, 0.464183104254495,          0.443665461164749, 0.202594030185392, 0.251058120460841,          0.248039629274522, 0.728383914708498, 0.486479545769779,          0.486479545769779, 0.375073916060521, 0.594979546415276,          0.604882226694947), PROX_GOOD_PRISCH = c(0.494123442243702,          0.439174603441127, 0.555662252109323, 0.299143542468678,          0.581790960048334, 0.581790960048334, 0.213708578130609,          0.107363170703005, 0.605615063995802, 0.447003801568155,          0.550324531917386, 0.53169554186008, 0.819366619188368,          0.856849085387122, 0.689163418131917, 0.819356328881161,          0.819356328881161, 0.706117631385061, 0.89296386953394,          0.87937610392538), PROX_MALL = c(1.00609620967541, 0.994410311642026,          0.873946799305891, 0.701652802220213, 0.835862391091354,          0.835862391091354, 0.493813340134231, 0.625847194134012,          0.925377142856182, 0.217974225134877, 0.190941194230935,          0.564979440463645, 0.516143411126369, 0.562952549426665,          0.12742430838485, 0.3366209001709, 0.3366209001709, 0.445899708163642,          0.357726596913911, 0.441232897113797), PROX_CHAS = c(0.0862664572880411,          0.21913048386411, 0.248119447519373, 0.242250716663617,          0.240374554675797, 0.240374554675797, 0.36937911638564,          0.134178633248207, 0.179557542480515, 0.217974279370684,          0.190941257524933, 0.204909081807225, 0.236682264577822,          0.235419924819913, 0.127424254451578, 0.232134688144963,          0.232134688144963, 0.0764125853219005, 0.263233285458842,          0.177420148260447), PROX_SUPERMARKET = c(0.0862669641327853,          0.21913043091083, 0.315469124538892, 0.157554225694085,          0.322141005481158, 0.322141005481158, 0.359694409353041,          0.344381560072065, 0.223142170833011, 0.216455869736569,          0.19229406714866, 0.145410708854306, 0.236682533577294,          0.23542039277371, 0.129189539659537, 0.232133828519976,          0.232133828519976, 0.158655939798418, 0.263232243208913,          0.320748009942088), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 1L, 2L, 0L, 0L, 2L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 0L,          2L, 2L, 1L, 2L, 0L), WITHIN_350M_CHILDCARE = c(8L, 4L,          2L, 6L, 2L, 2L, 7L, 3L, 3L, 9L, 10L, 3L, 7L, 7L, 6L,          5L, 5L, 5L, 6L, 5L), WITHIN_350M_BUS = c(8L, 7L, 6L,          10L, 5L, 5L, 12L, 8L, 11L, 10L, 10L, 7L, 10L, 10L, 13L,          11L, 11L, 8L, 15L, 11L), WITHIN_1KM_PRISCH = c(1L, 1L,          1L, 2L, 1L, 1L, 3L, 3L, 2L, 4L, 4L, 3L, 3L, 3L, 4L, 4L,          4L, 5L, 4L, 5L), DNeighbour = c(0, 225.596390490603,          298.080132981226, 319.274886140122, 338.97863352471,          339.647565304201, 513.27561638446, 549.538030688272,          706.239993569594, 813.088492777512, 898.476140021041,          1018.00903476407, 1019.46044041144, 1040.09505968416,          1130.35623293404, 1132.68452570628, 1133.03250929611,          1204.76699361385, 1231.10852739897, 1365.48677943086)), row.names = c("879",      "719", "725", "629", "737", "334", "780", "459", "485", "366",      "667", "189", "614", "360", "771", "734", "942", "755", "769",      "292"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.94615425952144,      0.906964637797584, 0.893647513185956, 0.880544253806412,      0.880087390059663, 0.737374571324767, 0.702303079120113,      0.536550989850719, 0.41658131524936, 0.321545302766114, 0.197302585539224,      0.195896132389491, 0.176239506711148, 0.0990609839906868,      0.0972901321153363, 0.0970265236539185, 0.0490840852740192,      0.0350200298570076, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1014058337 
R squared (OOB):                  0.4159199 

$Forests[[880]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(358000, 334008, 345000,      370000, 335000, 443000, 462000, 447888, 442500, 418888, 382000,      459000, 445000, 418000, 450000, 410000, 430000, 338000, 415000,      425000), floor_area_sqm = c(104, 103, 90, 102, 102, 93, 93,      93, 92, 92, 93, 93, 93, 92, 92, 101, 92, 104, 92, 93), storey_order = c(4L,      2L, 5L, 3L, 4L, 5L, 5L, 5L, 6L, 3L, 1L, 4L, 4L, 5L, 4L, 3L,      5L, 2L, 2L, 5L), remaining_lease_mths = c(815, 917, 937,      927, 940, 1134, 1134, 1137, 1138, 1136, 1111, 1138, 1133,      1142, 1135, 936, 1137, 818, 1132, 1134), PROX_CBD = c(14.0960645211931,      14.2719972222741, 14.2787185061121, 14.12564920201, 14.4474740114555,      14.1475961545785, 14.1475961545785, 14.1475961545785, 14.4158973706441,      14.4158973706441, 14.29200158436, 14.1715462602585, 14.1149653809405,      14.4012043650842, 14.5310939664424, 13.8911800577968, 14.2919055230493,      13.540845499052, 14.6122009832922, 14.3486805845321), PROX_ELDERLYCARE = c(1.70531999087377,      1.50921581969441, 1.77826193055387, 1.44816412197145, 1.50338082315219,      2.03155968851809, 2.03155968851809, 2.03155968851809, 1.86115765343828,      1.86115765343828, 2.00367987562091, 2.09595649451453, 2.12564955085825,      1.94149260139439, 1.79186944623163, 1.40411939431899, 2.08663557441472,      2.00347240504871, 1.68824062303628, 2.08279710659019), PROX_HAWKER = c(0.845358517598031,      0.684102697062058, 0.865181709866835, 0.778468578249857,      0.588144724666333, 1.0452124348096, 1.0452124348096, 1.0452124348096,      0.900970586039013, 0.900970586039013, 1.05572120633707, 1.11030496241672,      1.06810792734919, 0.977925494011815, 0.816792492128141, 0.687446499339865,      1.13160866269818, 0.326481146247567, 0.707122679385598, 1.11865892678262     ), PROX_MRT = c(0.217341234217998, 0.347262283963267, 0.14195902454703,      0.476637705223286, 0.224566301285939, 0.206896355650083,      0.206896355650083, 0.206896355650083, 0.0830542408041225,      0.0830542408041225, 0.129588785375857, 0.236487582928319,      0.282489779359316, 0.117672709296806, 0.197201307651512,      0.241174931861397, 0.215635082050947, 0.080163548628182,      0.295449456212788, 0.228370105834555), PROX_PARK = c(1.27300714898888,      1.38760566459916, 1.51686048726609, 1.20701221478007, 1.55939681176166,      1.52292224478236, 1.52292224478236, 1.52292224478236, 1.70853765465547,      1.70853765465547, 1.659682039687, 1.59201213147604, 1.55223981690243,      1.73691437359179, 1.79335149216305, 0.90249149706597, 1.71136953372848,      0.80961064190221, 1.76906915549279, 1.76668334590621), PROX_GOOD_PRISCH = c(5.17863906457975,      5.26118802945754, 5.42826997650874, 5.06260566207177, 5.45861643017911,      5.43570837857945, 5.43570837857945, 5.43570837857945, 5.62289607338158,      5.62289607338158, 5.57470277830303, 5.50129862889456, 5.45814117537329,      5.65284274036128, 5.7030752613132, 4.74545729482833, 5.62322031775431,      4.71745369301481, 5.7298925008129, 5.67955556528646), PROX_MALL = c(0.243284841315127,      0.108121271181015, 0.338911837083335, 0.287395381957405,      0.12145856762689, 0.329425359540921, 0.329425359540921, 0.329425359540921,      0.475045953779526, 0.475045953779526, 0.462705775504015,      0.405991175981987, 0.377565489031552, 0.544441659044551,      0.466036051693473, 0.267645090747045, 0.517951444315281,      0.403528889272069, 0.426875162675013, 0.571430807201143),          PROX_CHAS = c(0.132339190026647, 0.108121286081234, 0.18872293939054,          0.182188888557241, 0.121458549123021, 0.188783823394846,          0.188783823394846, 0.188783823394846, 0.0420419616737589,          0.0420419616737589, 0.0888572682655253, 0.12657377242065,          0.179884741524278, 0.0706873614354785, 0.162368565956873,          0.241761013919413, 3.54155757628082e-08, 0.253510567884045,          0.270793953405505, 0.0590253437170886), PROX_SUPERMARKET = c(0.226949559622758,          0.105248463653719, 0.188722783027928, 0.277268812686258,          0.134916350552101, 0.235757849482592, 0.235757849482592,          0.235757849482592, 0.0420421510628514, 0.0420421510628514,          0.124391003677116, 0.248308073473709, 0.299769914037237,          0.0706874850207218, 0.162368758687164, 0.315435463566428,          0.199383936085002, 0.1865280595431, 0.270794118098451,          0.199153546859355), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 0L,          1L, 1L, 1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(7L, 4L,          6L, 3L, 5L, 6L, 6L, 6L, 5L, 5L, 5L, 5L, 6L, 5L, 4L, 3L,          5L, 5L, 5L, 4L), WITHIN_350M_BUS = c(9L, 10L, 8L, 10L,          11L, 6L, 6L, 6L, 7L, 7L, 5L, 5L, 5L, 6L, 8L, 15L, 4L,          11L, 6L, 4L), WITHIN_1KM_PRISCH = c(5L, 5L, 4L, 5L, 5L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 5L, 3L, 4L, 4L,          3L), DNeighbour = c(0, 219.521128311867, 248.510023982302,          276.885176509485, 357.76369419786, 391.789939399611,          392.661622892051, 393.016823563087, 456.464318226818,          458.341585265732, 468.6818498585, 483.611437634424, 485.307233506118,          501.669062168608, 525.470065272116, 545.586809814281,          553.71762568265, 556.736384410425, 560.159919349161,          589.71564883201)), row.names = c("880", "381", "329",      "703", "826", "966", "207", "623", "33", "100", "989", "277",      "519", "633", "609", "599", "267", "617", "489", "217"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.742062672529377, 0.676368962470754, 0.607695034223754,      0.39936036799435, 0.312046534567296, 0.309853657341524, 0.30896091021458,      0.160688685567538, 0.156754009044283, 0.135687652768977,      0.107240495253024, 0.104168357316699, 0.0763501983297533,      0.0424434170871431, 0.0207537963305158, 0.014009039068765,      0.0118201529824243, 0.00955024358863177, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1022106854 
R squared (OOB):                  0.4881839 

$Forests[[881]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(708000, 705000, 580000,      545000, 380000, 678000, 451000, 685000, 710000, 740000, 520000,      290000, 518000, 790000, 660000, 620000, 488000, 416000, 390000,      385000), floor_area_sqm = c(90, 90, 90, 101, 89, 92, 83,      102, 101, 95, 101, 87, 93, 95, 105, 103, 104, 91, 84, 93),          storey_order = c(5L, 7L, 5L, 1L, 5L, 3L, 8L, 4L, 2L,          4L, 1L, 1L, 4L, 6L, 6L, 4L, 1L, 4L, 1L, 1L), remaining_lease_mths = c(1031,          1041, 1035, 938, 653, 1103, 604, 929, 933, 954, 929,          643, 736, 946, 748, 742, 776, 713, 783, 772), PROX_CBD = c(3.56091441303422,          3.66612298934168, 3.73787601157873, 3.59494173601466,          4.19301197437796, 3.93031212371417, 3.63056019358172,          4.15915934561343, 4.27954241101507, 4.09909964212454,          4.23995407977096, 4.35364804731157, 4.29040868967057,          4.0690703028165, 3.5952466633456, 3.79744534670369, 4.16405648472164,          5.10609859014938, 4.91139217141794, 4.25035751849909),          PROX_ELDERLYCARE = c(0.885388735780595, 0.851600940224316,          0.836612932336762, 0.692364880740494, 1.05465194719342,          0.159701117649001, 0.124703716495981, 1.31127122179184,          1.2084977158608, 1.44919747885979, 1.29004325258708,          0.402111762367986, 1.28169673214061, 1.5676876481467,          0.354500614782039, 0.296175206272889, 0.434539750657667,          0.320090253923576, 0.53976690699019, 0.411587417191489         ), PROX_HAWKER = c(0.210501859943959, 0.157376553669701,          0.15676751515481, 0.142789347249218, 0.297392426102438,          0.374782156946409, 0.0619655343942362, 0.296724849746491,          0.32780610994166, 0.17841116959893, 0.242979724501726,          0.52502919100195, 0.224814451985556, 0.124697776657811,          0.311385334077859, 0.300770398866256, 0.502732414569621,          0.333568708255903, 0.526793317066312, 0.610932712322496         ), PROX_MRT = c(0.1853881461208, 0.281331556481731, 0.349678715281184,          0.346622733589529, 0.670866804568908, 0.57487373386568,          0.188513622979597, 0.361454140857751, 0.45128979061194,          0.212082976996148, 0.369514902074349, 0.698417082344063,          0.386818680985449, 0.103251860461982, 0.16267041353008,          0.195276091150508, 0.518003091395578, 0.549226257235714,          0.348715950460643, 0.605174310138743), PROX_PARK = c(0.969171323132551,          1.07330463343821, 1.14436990313984, 1.03638785093261,          1.34668044149268, 0.43227753152338, 0.634729277660292,          0.424082148410156, 0.496161896442625, 0.271559050503854,          0.410157320226128, 0.0959047492621704, 0.41256712340984,          0.13380185088312, 0.796125682214674, 0.620239922284967,          0.269719137898212, 0.534309547143458, 0.454973393404149,          0.346786980248178), PROX_GOOD_PRISCH = c(4.51522724145722,          4.46068770698473, 4.42346384619917, 4.68517728936996,          4.04417128338034, 4.55218800106713, 4.47678155678584,          3.27316539077024, 3.1984009939005, 3.22696055518642,          3.17375518133788, 4.11088283479722, 3.11124078456354,          3.17062142916436, 4.26949140427292, 4.13618512399158,          3.99853475328204, 3.68539306501406, 3.07957394860643,          3.87277035706644), PROX_MALL = c(0.87678025015548, 0.971442928620489,          1.03774509228272, 0.814872047472938, 1.51326780463499,          1.09934779211931, 0.917363569028491, 1.03381347643634,          1.15459749844864, 0.944512912155433, 1.09860538958518,          0.801857467962545, 1.14104925826379, 0.898524741072254,          0.962766222186716, 1.16769889708728, 1.00998414702412,          1.13513631747826, 0.779372162435287, 0.955673327573223         ), PROX_CHAS = c(0.0998361253719761, 0.108213750221125,          0.0809467071188201, 0.0573592222158038, 0.212246176955017,          0.304936065418075, 0.112941217538546, 0.22718451096924,          0.151798893835737, 0.199996678091121, 0.128246501394164,          0.130252709580884, 0.0683025043642396, 0.162166521351491,          0.0963682910788478, 0.121619853002556, 0.147909276913635,          0.37199840586913, 0.297280152993809, 0.260827480873255         ), PROX_SUPERMARKET = c(0.103744685928207, 0.131005301990959,          0.184584314799668, 0.0573596645426592, 0.306178228663922,          0.35411008396507, 0.0867224629960944, 0.31622643534726,          0.314587216673928, 0.232527384837024, 0.23908756643158,          0.591301773724787, 0.200251285306447, 0.209119590970966,          0.269187390315468, 0.191561540751545, 0.506391752127701,          0.424647979009491, 0.212061147632098, 0.512280309006142         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 1L,          0L, 4L, 3L, 5L, 4L, 1L, 3L, 4L, 1L, 1L, 1L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 1L, 3L,          5L, 10L, 2L, 9L, 4L, 4L, 2L, 8L, 4L, 4L, 6L, 4L, 2L,          5L), WITHIN_350M_BUS = c(9L, 7L, 7L, 4L, 5L, 5L, 4L,          4L, 2L, 8L, 4L, 6L, 4L, 5L, 6L, 5L, 5L, 4L, 7L, 5L),          WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 0L, 1L, 1L, 2L, 2L,          2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 3L, 2L, 3L), DNeighbour = c(0,          107.598576698901, 177.077190328954, 203.219858604164,          668.272697146732, 929.56869059402, 1132.98891805116,          1260.4366964716, 1321.73068764689, 1336.08815261343,          1348.81037236359, 1398.75624903519, 1416.58671906269,          1437.15498552003, 1457.40976351179, 1485.82733723023,          1493.37265756625, 1577.70488248606, 1619.96296232717,          1626.51348482572)), row.names = c("881", "903", "823",      "997", "993", "801", "237", "763", "767", "784", "145", "532",      "286", "575", "699", "952", "223", "853", "251", "19"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.991266739991763, 0.976435484750996, 0.969022677825757,      0.690880738477437, 0.453435697653458, 0.265001561021236,      0.159585082170163, 0.115365811623779, 0.105775438366484,      0.0975437192819536, 0.0678331365255619, 0.0583092510491479,      0.0480864224482628, 0.0388582089006315, 0.0273934227830209,      0.0246529741037631, 0.00349467088240748, 6.46168414437444e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       16464966339 
R squared (OOB):                  0.2185372 

$Forests[[882]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(405000, 385000, 398888,      370000, 385000, 353000, 330000, 369988, 365000, 350000, 370000,      390000, 345000, 330000, 378888, 356888, 425000, 370000, 374000,      375000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 85, 91,      91, 91, 90, 100, 85, 91, 90, 91, 92, 90, 94, 90), storey_order = c(6L,      4L, 6L, 3L, 5L, 1L, 4L, 4L, 5L, 1L, 2L, 6L, 6L, 3L, 6L, 5L,      3L, 3L, 3L, 4L), remaining_lease_mths = c(1138, 1138, 1127,      1127, 1140, 1136, 992, 1002, 993, 992, 1016, 942, 968, 951,      949, 963, 1059, 997, 987, 986), PROX_CBD = c(12.9439612539798,      12.9439612539798, 12.9439612539798, 12.9599687546274, 12.9599687546274,      12.9273038019752, 13.0825190214061, 13.2138793761114, 13.2138793761114,      12.6773565587662, 13.0393088300804, 12.9172885276263, 13.131637538161,      12.402570085049, 12.4403773011877, 13.1584578321731, 13.6873856248974,      13.5299248791723, 13.4804039164095, 13.5741440973944), PROX_ELDERLYCARE = c(0.119102012768026,      0.119102012768026, 0.119102012768026, 0.230213196902471,      0.230213196902471, 0.250608726248769, 0.120371550198491,      0.200446926946864, 0.200446926946864, 0.36284597954094, 0.38924985743242,      0.440978457512705, 0.425459762987539, 0.628872951670854,      0.624054710630084, 0.528614390300154, 0.720975229682918,      0.737190256849548, 0.746393599063579, 0.759293685927778),          PROX_HAWKER = c(2.07494386608678, 2.07494386608678, 2.07494386608678,          2.16699861471209, 2.16699861471209, 2.14952956067865,          1.90213677974947, 1.87231067409155, 1.87231067409155,          1.72249172765999, 1.75849952292251, 1.76689210194785,          1.67102672130552, 1.50745216628998, 1.46996215979098,          1.59466084315792, 1.83406121528111, 1.28441999759135,          1.28815813567136, 1.13978469441664), PROX_MRT = c(0.464899886897548,          0.464899886897548, 0.464899886897548, 0.576831878931421,          0.576831878931421, 0.585364307317434, 0.30821900832469,          0.348476568009787, 0.348476568009787, 0.142163643631393,          0.103022581922205, 0.0642144868642362, 0.197259382412543,          0.198968515523371, 0.140157494228817, 0.258879114766752,          0.19923660487806, 0.189597864599581, 0.26513727845816,          0.147719870982538), PROX_PARK = c(0.700809394437081,          0.700809394437081, 0.700809394437081, 0.828547076231476,          0.828547076231476, 0.834972281659159, 0.557623544885242,          0.701388397724732, 0.701388397724732, 0.484105342641425,          0.291844359651056, 0.18581491955197, 0.350705699368152,          0.61879465488716, 0.525489875872169, 0.332476768251147,          0.855123415409032, 0.695004999747215, 0.640650351334918,          0.739375101722708), PROX_GOOD_PRISCH = c(4.27162250172191,          4.27162250172191, 4.27162250172191, 4.35761410397793,          4.35761410397793, 4.33782029579385, 4.27923006279343,          4.43819501492863, 4.43819501492863, 3.92066991749349,          4.09066115622083, 3.96344124390297, 4.16094245740848,          3.69141799128789, 3.6640626331803, 4.13557899544262,          4.98236347160825, 4.45977917937361, 4.38951064564596,          4.41976113712118), PROX_MALL = c(0.646092130793046, 0.646092130793046,          0.646092130793046, 0.630320880177991, 0.630320880177991,          0.664096204002356, 0.482494809972804, 0.411800643307333,          0.411800643307333, 0.485078273736912, 0.199839805040887,          0.125441786165087, 0.249640338015364, 0.407881748949563,          0.37643645467035, 0.231810009894563, 0.138188079312201,          0.598877544697789, 0.548104683226502, 0.656440732478167         ), PROX_CHAS = c(0.136400058110832, 0.136400058110832,          0.136400058110832, 0.256311352337612, 0.256311352337612,          0.273668945808659, 0.1115602293269, 0.186991486151685,          0.186991486151685, 0.334175310205776, 0.19843851708658,          0.146232137849481, 0.23569948169583, 0.407881782403473,          0.376436475429729, 0.20604200841638, 0.138188055488585,          0.124645472322039, 0.196586841411628, 0.175269995719201         ), PROX_SUPERMARKET = c(0.636728053790567, 0.636728053790567,          0.636728053790567, 0.621743565428055, 0.621743565428055,          0.655577492568061, 0.482493892596986, 0.40197012970004,          0.40197012970004, 0.485077395132212, 0.199839014107547,          0.125440795942109, 0.249639808314143, 0.451295114828249,          0.426522673463594, 0.231809873410795, 0.147450463248511,          0.181636181040517, 0.253358431108118, 0.3594639622224         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 2L, 2L, 1L, 0L, 0L, 1L, 1L, 4L, 3L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 3L, 3L, 3L,          7L, 5L, 5L, 8L, 8L, 9L, 5L, 3L, 4L, 6L, 6L, 5L, 5L, 6L         ), WITHIN_350M_BUS = c(3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L,          2L, 13L, 7L, 9L, 7L, 9L, 11L, 7L, 7L, 8L, 9L, 10L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 5L, 6L, 6L, 4L, 7L, 7L, 7L, 4L, 4L,          7L, 5L, 6L, 5L, 9L), DNeighbour = c(0, 1.00420705165272,          7.11156667736023, 132.127088758369, 134.078912047351,          145.390122322039, 236.661434934307, 290.446077825497,          294.756367243892, 349.790099610347, 495.093294273196,          525.180279669574, 537.930509812525, 591.830155133773,          608.044038115893, 637.22167471338, 762.422034417489,          849.740104473199, 863.830108727846, 1022.1032422973)), row.names = c("882",      "732", "936", "990", "95", "462", "886", "313", "474", "400",      "141", "887", "153", "80", "444", "339", "4", "165", "72",      "15"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999998069424513,      0.999903181015318, 0.966857880976216, 0.965880035407203,      0.959941549296696, 0.895649441358692, 0.845020914798564,      0.840587728019435, 0.779479746443969, 0.585790396889189,      0.541675095723644, 0.522744629939875, 0.441855757735371,      0.417445236754141, 0.373712849997255, 0.196764791194928,      0.0953781116681452, 0.0816371846572647, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       538824693 
R squared (OOB):                  0.04587659 

$Forests[[883]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345888, 330000, 306000,      320000, 312000, 320000, 395000, 4e+05, 373000, 398000, 420000,      410000, 435000, 425000, 410000, 418000, 350000, 460000, 345000,      420000), floor_area_sqm = c(104, 107, 109, 104, 107, 104,      107, 92, 92, 92, 92, 92, 92, 93, 93, 112, 106, 105, 95, 104     ), storey_order = c(4L, 3L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L,      5L, 3L, 4L, 4L, 4L, 5L, 2L, 4L, 3L, 4L), remaining_lease_mths = c(763,      776, 773, 779, 779, 772, 755, 1127, 1128, 1136, 1134, 1131,      1129, 1126, 1117, 904, 781, 770, 1003, 774), PROX_CBD = c(16.5598581376431,      16.4773488158513, 16.2343575305192, 16.6890813896757, 16.6890813896757,      16.0390890659677, 15.936744569076, 17.1731083577317, 17.1731083577317,      17.26435404508, 17.2397585888566, 17.2397585888566, 17.2397585888566,      17.3263676504413, 17.3263676504413, 17.2048826778539, 15.2518600651656,      15.1689870500438, 17.7047470513727, 15.0460728336845), PROX_ELDERLYCARE = c(0.633922933695123,      0.393080972860029, 0.63095091801206, 0.296144426041885, 0.296144426041885,      0.520751571920202, 0.526555480516014, 0.456899326246073,      0.456899326246073, 0.542806768712765, 0.500148198332671,      0.500148198332671, 0.500148198332671, 0.561119780492452,      0.561119780492452, 0.400468425457175, 0.341160576506438,      0.235447740717014, 0.933045885854195, 0.0734543941007858),          PROX_HAWKER = c(0.402483389428837, 0.170796598263111,          0.355821892612055, 0.360513691606501, 0.360513691606501,          0.601123999453785, 0.44834457013621, 0.507233229895407,          0.507233229895407, 0.598096651463893, 0.55990768529081,          0.55990768529081, 0.55990768529081, 0.631285601786086,          0.631285601786086, 0.498365875295267, 0.711147803357143,          0.493984449855749, 1.00938993481846, 0.321243604465073         ), PROX_MRT = c(1.05011238745279, 0.826410504821953,          0.864165890870668, 0.937471590679814, 0.937471590679814,          0.965829261077996, 0.239432195714991, 1.18009183772516,          1.18009183772516, 1.20599959693509, 1.16124452414741,          1.16124452414741, 1.16124452414741, 1.13344401626098,          1.13344401626098, 0.87869292375624, 1.05589835680014,          0.840089990200814, 1.29287496569192, 0.667161579318597         ), PROX_PARK = c(1.45762221914422, 1.2054653508424, 1.34373269803231,          1.20981147430356, 1.20981147430356, 1.48305338833506,          0.747611444367071, 1.02763138312455, 1.02763138312455,          0.937816003807321, 0.959994438388966, 0.959994438388966,          0.959994438388966, 0.872985599051717, 0.872985599051717,          0.9054780070858, 1.72109509304533, 1.48925201971724,          0.495314460898113, 1.32178658469093), PROX_GOOD_PRISCH = c(6.10793998843997,          5.97835326648125, 5.7932792467937, 6.16175607197734,          6.16175607197734, 5.64743379607767, 5.39194564581962,          6.57664814247058, 6.57664814247058, 6.66937916554136,          6.64012383316355, 6.64012383316355, 6.64012383316355,          6.72174636420399, 6.72174636420399, 6.57740517739392,          4.96507368960908, 4.81784539373378, 7.10206992983331,          4.66454637236311), PROX_MALL = c(0.973625110866692, 0.76724723438711,          1.10378372306907, 0.571849863617429, 0.571849863617429,          1.36185056241102, 0.942416713928675, 0.392080122681935,          0.392080122681935, 0.484724019608978, 0.450738515511335,          0.450738515511335, 0.450738515511335, 0.530342726071102,          0.530342726071102, 0.446026044391999, 2.06076738363197,          1.93173107331603, 0.790613232916467, 1.83033637772351         ), PROX_CHAS = c(0.306725496117186, 0.09463300161804,          0.289709096170644, 0.332465298200207, 0.332465298200207,          0.205355834952608, 0.145251548786172, 0.214971829128206,          0.214971829128206, 0.270084445320348, 0.221318263528924,          0.221318263528924, 0.221318263528924, 0.254413742194056,          0.254413742194056, 0.130380344727655, 0.453299264887269,          0.22714457633909, 0.40646651865696, 0.0544168696099871         ), PROX_SUPERMARKET = c(0.252218317780421, 0.108262733037825,          0.132128014198024, 0.204374831829505, 0.204374831829505,          0.352842931529878, 0.434198104817495, 0.391090025360665,          0.391090025360665, 0.483753219919624, 0.449846933875903,          0.449846933875903, 0.449846933875903, 0.529573977763673,          0.529573977763673, 0.445962312606475, 0.644027759940317,          0.459690883388295, 0.260900811674997, 0.286721618184596         ), WITHIN_350M_KINDERGARTEN = c(2L, 3L, 0L, 3L, 3L, 1L,          0L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 0L, 2L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 6L, 8L, 3L, 3L, 6L,          2L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 2L, 0L, 1L, 2L, 1L         ), WITHIN_350M_BUS = c(5L, 9L, 9L, 9L, 9L, 7L, 7L, 8L,          8L, 6L, 6L, 6L, 6L, 5L, 5L, 8L, 6L, 4L, 6L, 5L), WITHIN_1KM_PRISCH = c(2L,          3L, 2L, 4L, 4L, 2L, 4L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 1L, 2L, 3L, 1L), DNeighbour = c(0, 255.76965637149,          332.686293537755, 406.334564572002, 408.384658459913,          556.004076174026, 828.01408776972, 1042.55951761516,          1043.29884791933, 1089.13958224887, 1101.54446440903,          1101.59207315737, 1105.63004901324, 1191.339035871, 1193.69723011511,          1315.87625785897, 1386.16981133796, 1408.42140037095,          1440.93217668782, 1514.20233660225)), row.names = c("883",      "107", "468", "328", "497", "751", "423", "507", "985", "847",      "280", "86", "290", "925", "797", "889", "109", "739", "631",      "256"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.943750330236284,      0.905784768392708, 0.861163317069664, 0.859811816751493,      0.748518273453301, 0.491365826382263, 0.276612219396495,      0.275905180367513, 0.232933996955087, 0.221633817312185,      0.221590746083549, 0.217946137768157, 0.145147672309327,      0.143284550031301, 0.0599267872695576, 0.026230853792412,      0.0181813019434058, 0.00891811644988393, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1327076344 
R squared (OOB):                  0.3993427 

$Forests[[884]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(365000, 280000, 398000,      380000, 355000, 3e+05, 310000, 375000, 308000, 295000, 355000,      418000, 359000, 350000, 395000, 380000, 380000, 412000, 390000,      368000), floor_area_sqm = c(103, 84, 104, 108, 104, 85, 84,      104, 84, 83, 104, 104, 103, 93, 93, 92, 93, 92, 92, 92),          storey_order = c(4L, 4L, 3L, 2L, 2L, 4L, 2L, 1L, 1L,          1L, 4L, 1L, 1L, 1L, 4L, 2L, 3L, 3L, 4L, 2L), remaining_lease_mths = c(805,          809, 823, 807, 785, 798, 787, 808, 779, 812, 814, 794,          799, 1111, 1108, 1142, 1110, 1128, 1142, 1100), PROX_CBD = c(14.5082496767788,          14.5514247745221, 14.4215550437188, 14.3069689320192,          14.7946380504301, 14.6468242567931, 14.7686155241139,          14.2674761918172, 14.8104288104214, 14.136177090114,          14.9797222810306, 14.6249352309891, 14.1470244070667,          14.6221320584002, 14.6649260398624, 14.4940333615496,          14.607628567626, 14.5596883563906, 14.5596883563906,          14.9752079088984), PROX_ELDERLYCARE = c(1.0960579077266,          0.934928905143492, 0.933706769700102, 1.30284795398611,          1.02543356664281, 0.791783477476035, 1.18091019396193,          1.37520258101488, 1.14385816982861, 1.52241617566094,          1.40865121451131, 1.66362706878828, 1.73443513584582,          0.410896008057539, 0.374463671675583, 0.500918112427577,          0.363539264939185, 0.399519357429504, 0.399519357429504,          0.199763345782594), PROX_HAWKER = c(1.06968967826483,          0.920905853639359, 0.964097104531415, 1.30042856091519,          0.927587772885235, 0.771377618176498, 1.07995965555937,          1.3725902814614, 1.03493347869974, 1.5304212921709, 1.17708155532767,          1.46189875323845, 1.71810403079302, 0.55845452984231,          0.515424723672587, 0.682637638745144, 0.571839614015762,          0.625641729464286, 0.625641729464286, 0.202333554334061         ), PROX_MRT = c(0.541381135472874, 0.702240402731505,          0.766580328668093, 0.431073100471927, 0.635923545376501,          0.834242720427877, 0.495669019430354, 0.392323251912074,          0.547659244513397, 0.407136749273107, 0.541117453484526,          0.177135615746217, 0.316955810938843, 1.30119397664661,          1.31347134818138, 1.32800225952209, 1.42703012637354,          1.46473462254762, 1.46473462254762, 1.27457972333389),          PROX_PARK = c(0.854937524579578, 0.717751277212032, 0.786856267919922,          0.87843358408359, 0.687013904416796, 0.572284771964545,          0.837021679605882, 0.808406007535371, 0.79060261488636,          0.646645557650639, 0.869949400509587, 0.967683324465338,          0.521638252737905, 0.524601749565547, 0.48594234877488,          0.65941869562705, 0.592644125813336, 0.656743209310805,          0.656743209310805, 0.259935562114549), PROX_GOOD_PRISCH = c(4.9821455258424,          5.05486565817651, 4.94298421634201, 4.7599521059868,          5.2635668385575, 5.17213285521296, 5.21242267662931,          4.71060068854172, 5.2589313064801, 4.56541244462189,          5.38873705701154, 5.00900650468442, 4.5417585858835,          5.26427170666348, 5.30673314037113, 5.15263130971644,          5.28617698570013, 5.25302892838613, 5.25302892838613,          5.6171537261999), PROX_MALL = c(0.395836928017505, 0.264439990658005,          0.158055972255249, 0.530519583310388, 0.540570027720398,          0.253080993480643, 0.644074766251318, 0.598720745421956,          0.641907311269237, 0.730402721918488, 0.857174016474006,          1.02277508016934, 0.958986678954386, 0.412850725186958,          0.439421746266814, 0.407798057490129, 0.523782484457491,          0.550646738699849, 0.550646738699849, 0.689421511186311         ), PROX_CHAS = c(0.111998728732921, 0.0412741280494288,          0.110909163864147, 0.141608811196257, 0.151656769473437,          0.118994056415591, 0.305551557127515, 0.0989632897848068,          0.273160540123658, 0.0978085819739089, 0.0593781975043205,          0.253202817693943, 0.262672355720334, 0.0938393111767789,          0.0969357032130768, 0.0559452214520875, 0.198893245072118,          0.19650938121062, 0.19650938121062, 0.230775629929228         ), PROX_SUPERMARKET = c(0.321173728185784, 0.259076961683863,          0.155031856949385, 0.179396317901182, 0.505826018716947,          0.246822057901315, 0.397697747354111, 0.13781747249929,          0.406551385550075, 0.152757697669253, 0.101389584423307,          0.177136085505812, 0.246179282205813, 0.0938384818523742,          0.0969351949685631, 0.202112654374605, 0.223766299699327,          0.27843134046436, 0.27843134046436, 0.264202614673064         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 2L, 1L, 1L,          1L, 3L, 1L, 3L, 0L, 1L, 3L, 1L, 1L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 3L, 7L, 5L, 5L,          3L, 7L, 2L, 7L, 3L, 1L, 4L, 6L, 6L, 4L, 4L, 3L, 3L, 4L         ), WITHIN_350M_BUS = c(8L, 7L, 10L, 7L, 8L, 9L, 8L, 6L,          7L, 7L, 10L, 9L, 6L, 9L, 8L, 9L, 7L, 7L, 7L, 9L), WITHIN_1KM_PRISCH = c(3L,          2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 4L, 2L, 2L, 4L, 4L,          3L, 4L, 4L, 4L, 3L), DNeighbour = c(0, 158.917726985757,          236.421980307808, 238.771058332178, 291.615304966593,          301.930096923394, 309.795738111572, 311.731588098081,          330.643161676685, 473.00235881229, 610.429449660082,          628.711124091835, 655.673547293992, 757.723052731963,          767.034655340209, 790.441817535269, 878.166280376113,          918.394900818422, 923.312008634703, 931.662490263379)), row.names = c("884",      "253", "546", "341", "424", "862", "101", "377", "396", "665",      "984", "30", "636", "324", "17", "702", "452", "961", "163",      "558"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.942655334361037,      0.875354959017559, 0.872950187587366, 0.813653930066932,      0.800978994770193, 0.791087379433634, 0.788623506099579,      0.763961528222819, 0.550925619691181, 0.325706562304941,      0.296598249563802, 0.254733859692337, 0.114609132887234,      0.103801589695845, 0.078502053158762, 0.0124418958399908,      0.000799686947547033, 0.000318467042116217, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1990977041 
R squared (OOB):                  -0.2324196 

$Forests[[885]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(490000, 650000, 440000,      710000, 675000, 465000, 662000, 680000, 715000, 350000, 660000,      672000, 550000, 345000, 377000, 418000, 388000, 4e+05, 380000,      358000), floor_area_sqm = c(88, 104, 91, 93, 95, 104, 95,      95, 95, 91, 85, 85, 102, 84, 98, 91, 98, 104, 92, 84), storey_order = c(3L,      3L, 5L, 6L, 2L, 3L, 3L, 4L, 6L, 4L, 3L, 5L, 3L, 1L, 3L, 5L,      2L, 2L, 1L, 3L), remaining_lease_mths = c(650, 815, 669,      1084, 1093, 760, 1093, 1084, 1099, 741, 1032, 1042, 761,      789, 735, 774, 728, 783, 767, 770), PROX_CBD = c(7.25532030367516,      7.71625132507906, 6.95185067667089, 6.17931132662417, 6.15852201326599,      8.64488888098128, 6.11286474740545, 6.04001281876484, 6.06656257116635,      8.70456515841861, 6.62545736407856, 6.58265946872266, 6.04257091454572,      7.23308787648785, 8.07728506382532, 9.35032791665702, 8.19895861369783,      6.8579883001408, 8.01258306529517, 6.82164733234375), PROX_ELDERLYCARE = c(0.18006822873871,      1.13999552495818, 0.368543492371998, 0.411122241220865, 0.428116600598184,      0.17844978767297, 0.471592353212743, 0.545921172841312, 0.516985202466339,      0.1203423949077, 0.121758896932011, 0.129826558983194, 0.548656319889636,      0.804640181087392, 1.22552837794249, 0.227789996497476, 1.1658248464307,      0.650979480304367, 1.38923408288603, 0.729511559050305),          PROX_HAWKER = c(0.240478461799037, 0.888477780938884,          0.163396016993116, 0.114709112077857, 0.104458461300263,          0.917919654697093, 0.0855319563513606, 0.0606577495598573,          0.0900485470251793, 0.867862446497739, 0.33268573973532,          0.37361464573735, 0.19523132016882, 0.727393295990439,          0.503102516785602, 0.508896406641727, 0.391405491562813,          0.732876252375814, 0.532883444787396, 0.834207881424508         ), PROX_MRT = c(1.92986365478511, 0.227897729387739,          0.258776848421036, 0.54480998513683, 0.567634817298681,          0.91698472228942, 0.576684647572531, 0.53617676606472,          0.530436532640755, 0.97670571404933, 0.255638745600017,          0.288098631383321, 0.448203274012385, 0.626719191507479,          0.711885268750489, 0.569946398217962, 0.707144761815547,          0.479854345281657, 0.57194553577364, 0.401668294921849         ), PROX_PARK = c(0.619286971231109, 0.374132090410645,          0.871860056746433, 0.461766774013401, 0.487498062645995,          0.238119977580318, 0.517760851715104, 0.524571131123829,          0.548254609843109, 0.288616932786395, 0.741691321664553,          0.734858817801552, 0.651264615899835, 1.17683143601381,          0.413960848298732, 0.726258134328713, 0.372450573927522,          1.26891760289394, 0.580004121625521, 1.33915084667526         ), PROX_GOOD_PRISCH = c(0.427836513221068, 1.93537396204111,          1.99104033276262, 1.95037752635058, 1.97696478280336,          2.37381492496372, 2.00772186702724, 2.00925132829891,          2.03651743937875, 2.418607930925, 2.08436883673306, 2.10026546945211,          2.14268529299874, 2.53413597667736, 2.66084492380109,          2.41566392235711, 2.73491137460549, 2.57894825178105,          2.75227504535898, 2.67483404440455), PROX_MALL = c(1.12785992306382,          1.9342939090943, 1.10491400246256, 0.476611693189829,          0.446404896609829, 1.00281364182829, 0.403935094648282,          0.387042201482337, 0.365617038961166, 0.948870628363287,          0.757747380414752, 0.712222885156031, 0.264532440460292,          1.33824767405872, 2.0316459728171, 0.406203001531397,          1.94983703099632, 0.985446043286547, 2.11322307221905,          0.977306285381771), PROX_CHAS = c(0.240141894090017,          0.147762521806201, 0.197049444171332, 0.10259225576309,          0.0766942583569258, 0.256340531367836, 0.0679258481743644,          0.134421273847083, 0.0929349198733403, 0.27140983829104,          0.152169077912936, 0.19769969897302, 0.12619956254809,          0.335243362149438, 0.279534674537085, 0.146235674893272,          0.293834776478611, 0.418063314797021, 0.1333322783253,          0.389404577789016), PROX_SUPERMARKET = c(0.211778086452678,          0.185503456748824, 0.145490551360364, 0.134806953278168,          0.11965836137487, 0.24778575064029, 0.0895469396191502,          0.0393286469640316, 0.0785030623714358, 0.221415122113844,          0.21094349839638, 0.255985378039003, 0.178930757423705,          0.400791637001426, 0.412975566732202, 0.347306649978202,          0.293834967432244, 0.471666412940503, 0.475213328012689,          0.457775852816324), WITHIN_350M_KINDERGARTEN = c(1L,          3L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 0L, 0L, 1L, 1L,          1L, 2L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 3L, 4L, 3L, 4L, 3L, 4L, 0L, 0L, 4L, 2L, 2L, 5L,          3L, 1L, 2L, 1L), WITHIN_350M_BUS = c(11L, 6L, 4L, 6L,          6L, 8L, 6L, 8L, 8L, 9L, 2L, 2L, 7L, 4L, 6L, 9L, 7L, 3L,          6L, 4L), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 2L, 2L, 2L,          1L, 1L, 1L, 2L, 2L, 2L, 1L, 3L, 2L, 3L, 1L, 2L, 2L, 2L         ), DNeighbour = c(0, 2141.54346090253, 2333.55361193069,          2360.13265087043, 2391.16825443248, 2411.29741922599,          2423.64812388915, 2434.49694730887, 2449.83122925549,          2451.8769271931, 2459.19064296754, 2477.46849632953,          2560.15016437539, 2849.1665949164, 2868.17512112031,          2896.463066405, 2920.54580052104, 2933.85748368019, 2969.71703540733,          3035.76925802257)), row.names = c("885", "809", "492",      "756", "23", "487", "536", "930", "297", "71", "841", "388",      "453", "171", "395", "37", "29", "168", "200", "46"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.252364434358471, 0.16738055686137, 0.156487409762463, 0.144084267090438,      0.136231037596487, 0.131489874184572, 0.127375029297514,      0.121640077021509, 0.120882299330729, 0.118187373521085,      0.111551354704341, 0.0834039139675213, 0.0141985536463007,      0.0115272874287888, 0.00804085269608014, 0.0055457730660324,      0.00435780753389868, 0.00185266201426272, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       13403738145 
R squared (OOB):                  0.3346765 

$Forests[[886]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 369988, 365000,      385000, 405000, 398888, 370000, 345000, 385000, 370000, 353000,      390000, 350000, 356888, 370000, 374000, 378888, 330000, 425000,      375000), floor_area_sqm = c(85, 91, 91, 93, 93, 93, 90, 85,      93, 93, 93, 100, 91, 91, 90, 94, 90, 91, 92, 90), storey_order = c(4L,      4L, 5L, 4L, 6L, 6L, 2L, 6L, 5L, 3L, 1L, 6L, 1L, 5L, 3L, 3L,      6L, 3L, 3L, 4L), remaining_lease_mths = c(992, 1002, 993,      1138, 1138, 1127, 1016, 968, 1140, 1127, 1136, 942, 992,      963, 997, 987, 949, 951, 1059, 986), PROX_CBD = c(13.0825190214061,      13.2138793761114, 13.2138793761114, 12.9439612539798, 12.9439612539798,      12.9439612539798, 13.0393088300804, 13.131637538161, 12.9599687546274,      12.9599687546274, 12.9273038019752, 12.9172885276263, 12.6773565587662,      13.1584578321731, 13.5299248791723, 13.4804039164095, 12.4403773011877,      12.402570085049, 13.6873856248974, 13.5741440973944), PROX_ELDERLYCARE = c(0.120371550198491,      0.200446926946864, 0.200446926946864, 0.119102012768026,      0.119102012768026, 0.119102012768026, 0.38924985743242, 0.425459762987539,      0.230213196902471, 0.230213196902471, 0.250608726248769,      0.440978457512705, 0.36284597954094, 0.528614390300154, 0.737190256849548,      0.746393599063579, 0.624054710630084, 0.628872951670854,      0.720975229682918, 0.759293685927778), PROX_HAWKER = c(1.90213677974947,      1.87231067409155, 1.87231067409155, 2.07494386608678, 2.07494386608678,      2.07494386608678, 1.75849952292251, 1.67102672130552, 2.16699861471209,      2.16699861471209, 2.14952956067865, 1.76689210194785, 1.72249172765999,      1.59466084315792, 1.28441999759135, 1.28815813567136, 1.46996215979098,      1.50745216628998, 1.83406121528111, 1.13978469441664), PROX_MRT = c(0.30821900832469,      0.348476568009787, 0.348476568009787, 0.464899886897548,      0.464899886897548, 0.464899886897548, 0.103022581922205,      0.197259382412543, 0.576831878931421, 0.576831878931421,      0.585364307317434, 0.0642144868642362, 0.142163643631393,      0.258879114766752, 0.189597864599581, 0.26513727845816, 0.140157494228817,      0.198968515523371, 0.19923660487806, 0.147719870982538),          PROX_PARK = c(0.557623544885242, 0.701388397724732, 0.701388397724732,          0.700809394437081, 0.700809394437081, 0.700809394437081,          0.291844359651056, 0.350705699368152, 0.828547076231476,          0.828547076231476, 0.834972281659159, 0.18581491955197,          0.484105342641425, 0.332476768251147, 0.695004999747215,          0.640650351334918, 0.525489875872169, 0.61879465488716,          0.855123415409032, 0.739375101722708), PROX_GOOD_PRISCH = c(4.27923006279343,          4.43819501492863, 4.43819501492863, 4.27162250172191,          4.27162250172191, 4.27162250172191, 4.09066115622083,          4.16094245740848, 4.35761410397793, 4.35761410397793,          4.33782029579385, 3.96344124390297, 3.92066991749349,          4.13557899544262, 4.45977917937361, 4.38951064564596,          3.6640626331803, 3.69141799128789, 4.98236347160825,          4.41976113712118), PROX_MALL = c(0.482494809972804, 0.411800643307333,          0.411800643307333, 0.646092130793046, 0.646092130793046,          0.646092130793046, 0.199839805040887, 0.249640338015364,          0.630320880177991, 0.630320880177991, 0.664096204002356,          0.125441786165087, 0.485078273736912, 0.231810009894563,          0.598877544697789, 0.548104683226502, 0.37643645467035,          0.407881748949563, 0.138188079312201, 0.656440732478167         ), PROX_CHAS = c(0.1115602293269, 0.186991486151685,          0.186991486151685, 0.136400058110832, 0.136400058110832,          0.136400058110832, 0.19843851708658, 0.23569948169583,          0.256311352337612, 0.256311352337612, 0.273668945808659,          0.146232137849481, 0.334175310205776, 0.20604200841638,          0.124645472322039, 0.196586841411628, 0.376436475429729,          0.407881782403473, 0.138188055488585, 0.175269995719201         ), PROX_SUPERMARKET = c(0.482493892596986, 0.40197012970004,          0.40197012970004, 0.636728053790567, 0.636728053790567,          0.636728053790567, 0.199839014107547, 0.249639808314143,          0.621743565428055, 0.621743565428055, 0.655577492568061,          0.125440795942109, 0.485077395132212, 0.231809873410795,          0.181636181040517, 0.253358431108118, 0.426522673463594,          0.451295114828249, 0.147450463248511, 0.3594639622224         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          2L, 1L, 0L, 0L, 0L, 2L, 1L, 1L, 4L, 3L, 0L, 0L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(7L, 5L, 5L, 4L, 4L, 4L,          8L, 5L, 3L, 3L, 3L, 9L, 8L, 6L, 5L, 5L, 4L, 3L, 6L, 6L         ), WITHIN_350M_BUS = c(4L, 2L, 2L, 3L, 3L, 3L, 7L, 7L,          3L, 3L, 3L, 9L, 13L, 7L, 8L, 9L, 11L, 9L, 7L, 10L), WITHIN_1KM_PRISCH = c(5L,          6L, 6L, 4L, 4L, 4L, 7L, 7L, 4L, 4L, 4L, 7L, 4L, 7L, 6L,          5L, 4L, 4L, 5L, 9L), DNeighbour = c(0, 156.218738318595,          156.473146067168, 236.379977043835, 236.661434934307,          242.343616351311, 299.671319354213, 318.935347049045,          343.915064795774, 344.888968292982, 368.518414893609,          377.100666010553, 410.51581529277, 417.209011405467,          614.835821676381, 627.212127593492, 663.735612394856,          684.487175144785, 701.393768141993, 785.449476231877)), row.names = c("886",      "313", "474", "732", "882", "936", "141", "153", "95", "990",      "462", "887", "400", "339", "165", "72", "444", "80", "4",      "15"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.922449637237308,      0.922201961988094, 0.827062736885931, 0.826670251246236,      0.818667121190765, 0.730060952693819, 0.697424894184615,      0.653317649674721, 0.65156104082362, 0.608195124632663, 0.592124401329418,      0.528290741068716, 0.515317206314573, 0.149964205742798,      0.131286859444944, 0.0817437946932641, 0.0578685632939438,      0.0410385277537985, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       505673322 
R squared (OOB):                  0.1045794 

$Forests[[887]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 370000, 345000,      356888, 330000, 350000, 378888, 365000, 369988, 405000, 385000,      398888, 330000, 374000, 370000, 370000, 385000, 353000, 375000,      365000), floor_area_sqm = c(100, 90, 85, 91, 85, 91, 90,      91, 91, 93, 93, 93, 91, 94, 90, 93, 93, 93, 90, 90), storey_order = c(6L,      2L, 6L, 5L, 4L, 1L, 6L, 5L, 4L, 6L, 4L, 6L, 3L, 3L, 3L, 3L,      5L, 1L, 4L, 3L), remaining_lease_mths = c(942, 1016, 968,      963, 992, 992, 949, 993, 1002, 1138, 1138, 1127, 951, 987,      997, 1127, 1140, 1136, 986, 979), PROX_CBD = c(12.9172885276263,      13.0393088300804, 13.131637538161, 13.1584578321731, 13.0825190214061,      12.6773565587662, 12.4403773011877, 13.2138793761114, 13.2138793761114,      12.9439612539798, 12.9439612539798, 12.9439612539798, 12.402570085049,      13.4804039164095, 13.5299248791723, 12.9599687546274, 12.9599687546274,      12.9273038019752, 13.5741440973944, 13.6373310118807), PROX_ELDERLYCARE = c(0.440978457512705,      0.38924985743242, 0.425459762987539, 0.528614390300154, 0.120371550198491,      0.36284597954094, 0.624054710630084, 0.200446926946864, 0.200446926946864,      0.119102012768026, 0.119102012768026, 0.119102012768026,      0.628872951670854, 0.746393599063579, 0.737190256849548,      0.230213196902471, 0.230213196902471, 0.250608726248769,      0.759293685927778, 0.753498484846986), PROX_HAWKER = c(1.76689210194785,      1.75849952292251, 1.67102672130552, 1.59466084315792, 1.90213677974947,      1.72249172765999, 1.46996215979098, 1.87231067409155, 1.87231067409155,      2.07494386608678, 2.07494386608678, 2.07494386608678, 1.50745216628998,      1.28815813567136, 1.28441999759135, 2.16699861471209, 2.16699861471209,      2.14952956067865, 1.13978469441664, 1.08343538740726), PROX_MRT = c(0.0642144868642362,      0.103022581922205, 0.197259382412543, 0.258879114766752,      0.30821900832469, 0.142163643631393, 0.140157494228817, 0.348476568009787,      0.348476568009787, 0.464899886897548, 0.464899886897548,      0.464899886897548, 0.198968515523371, 0.26513727845816, 0.189597864599581,      0.576831878931421, 0.576831878931421, 0.585364307317434,      0.147719870982538, 0.0904459633140829), PROX_PARK = c(0.18581491955197,      0.291844359651056, 0.350705699368152, 0.332476768251147,      0.557623544885242, 0.484105342641425, 0.525489875872169,      0.701388397724732, 0.701388397724732, 0.700809394437081,      0.700809394437081, 0.700809394437081, 0.61879465488716, 0.640650351334918,      0.695004999747215, 0.828547076231476, 0.828547076231476,      0.834972281659159, 0.739375101722708, 0.802899104641211),          PROX_GOOD_PRISCH = c(3.96344124390297, 4.09066115622083,          4.16094245740848, 4.13557899544262, 4.27923006279343,          3.92066991749349, 3.6640626331803, 4.43819501492863,          4.43819501492863, 4.27162250172191, 4.27162250172191,          4.27162250172191, 3.69141799128789, 4.38951064564596,          4.45977917937361, 4.35761410397793, 4.35761410397793,          4.33782029579385, 4.41976113712118, 4.47444600576345),          PROX_MALL = c(0.125441786165087, 0.199839805040887, 0.249640338015364,          0.231810009894563, 0.482494809972804, 0.485078273736912,          0.37643645467035, 0.411800643307333, 0.411800643307333,          0.646092130793046, 0.646092130793046, 0.646092130793046,          0.407881748949563, 0.548104683226502, 0.598877544697789,          0.630320880177991, 0.630320880177991, 0.664096204002356,          0.656440732478167, 0.719665126414215), PROX_CHAS = c(0.146232137849481,          0.19843851708658, 0.23569948169583, 0.20604200841638,          0.1115602293269, 0.334175310205776, 0.376436475429729,          0.186991486151685, 0.186991486151685, 0.136400058110832,          0.136400058110832, 0.136400058110832, 0.407881782403473,          0.196586841411628, 0.124645472322039, 0.256311352337612,          0.256311352337612, 0.273668945808659, 0.175269995719201,          0.111923036871509), PROX_SUPERMARKET = c(0.125440795942109,          0.199839014107547, 0.249639808314143, 0.231809873410795,          0.482493892596986, 0.485077395132212, 0.426522673463594,          0.40197012970004, 0.40197012970004, 0.636728053790567,          0.636728053790567, 0.636728053790567, 0.451295114828249,          0.253358431108118, 0.181636181040517, 0.621743565428055,          0.621743565428055, 0.655577492568061, 0.3594639622224,          0.371011221099329), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 3L, 4L,          0L, 0L, 0L, 2L, 2L), WITHIN_350M_CHILDCARE = c(9L, 8L,          5L, 6L, 7L, 8L, 4L, 5L, 5L, 4L, 4L, 4L, 3L, 5L, 5L, 3L,          3L, 3L, 6L, 6L), WITHIN_350M_BUS = c(9L, 7L, 7L, 7L,          4L, 13L, 11L, 2L, 2L, 3L, 3L, 3L, 9L, 9L, 8L, 3L, 3L,          3L, 10L, 11L), WITHIN_1KM_PRISCH = c(7L, 7L, 7L, 7L,          5L, 4L, 4L, 6L, 6L, 4L, 4L, 4L, 4L, 5L, 6L, 4L, 4L, 4L,          9L, 8L), DNeighbour = c(0, 133.731251247477, 216.111861607105,          256.499340700831, 377.100666010553, 379.944999719643,          508.119316554671, 517.824393149791, 519.448757475232,          525.180279669574, 525.587836156591, 532.283418487386,          582.698566302958, 582.72659151141, 616.762519355069,          657.15735806036, 658.775848684665, 669.240477644756,          711.687083625789, 772.84911818515)), row.names = c("887",      "141", "153", "339", "886", "400", "444", "474", "313", "882",      "732", "936", "80", "72", "165", "990", "95", "462", "15",      "660"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.941013114758138,      0.849728177947521, 0.791833666470401, 0.58052020387631, 0.575039665836238,      0.322332177257548, 0.303681619751953, 0.300580536581931,      0.289689616601651, 0.288918336076586, 0.276310749073128,      0.186228401919119, 0.186181209825289, 0.131867950606689,      0.0767188355756697, 0.0747562388320529, 0.0625745269111296,      0.0231082240767528, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       352703011 
R squared (OOB):                  0.1308039 

$Forests[[888]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 350000, 370000,      295000, 385000, 345000, 325000, 310000, 390000, 415000, 343000,      345000, 325000, 355000, 365000, 345000, 370000, 380000, 323000,      380000), floor_area_sqm = c(106, 104, 103, 105, 104, 104,      104, 104, 126, 104, 102, 103, 90, 106, 104, 114, 93, 93,      104, 93), storey_order = c(1L, 2L, 4L, 1L, 1L, 4L, 1L, 1L,      2L, 2L, 5L, 5L, 4L, 1L, 2L, 2L, 1L, 1L, 3L, 1L), remaining_lease_mths = c(851,      863, 881, 870, 863, 862, 872, 879, 879, 875, 935, 944, 912,      825, 828, 839, 1139, 1142, 956, 1138), PROX_CBD = c(15.9983120826665,      15.9139497277605, 15.9139497277605, 16.027241877126, 16.2492480828887,      16.2035530975804, 15.9652370890998, 15.9652370890998, 16.1769042321823,      15.8781143296649, 15.6558233565228, 15.6615925135045, 16.3759795802925,      15.6983328737326, 15.6198573118901, 15.4582319270764, 15.8422849591204,      15.6174435761395, 16.3822081442679, 15.9652529785268), PROX_ELDERLYCARE = c(0.541237256511776,      0.471057675436291, 0.471057675436291, 0.401697186037664,      0.836071823435323, 0.462412199513001, 0.372962984236141,      0.372962984236141, 0.382017171357745, 0.633288957745621,      0.268146833149962, 0.372854461013726, 0.437652472603004,      0.587171684565488, 0.497975502399054, 0.319622441582349,      0.241353796602158, 0.457575537702088, 0.317064501792404,      0.120425003900544), PROX_HAWKER = c(2.1818192257633, 2.34701070601947,      2.34701070601947, 2.44772974464855, 2.17952287051713, 2.51024920878341,      2.45115541279444, 2.45115541279444, 2.55739022352562, 1.79301822351461,      2.27183532495414, 2.39243139523594, 2.71828200917597, 1.64071314431986,      1.6566914426712, 1.7245004017694, 2.37354129025836, 2.21004723991438,      2.76474077583521, 2.36922200206298), PROX_MRT = c(0.364450998520493,      0.424613907535265, 0.424613907535265, 0.538616250543522,      0.290093838525113, 0.65447898159524, 0.52727924180445, 0.52727924180445,      0.674610535324426, 0.159697283923578, 0.370313443989706,      0.499275570100955, 0.870089952652958, 0.341199960643831,      0.297714051615291, 0.233994550027949, 0.721786411333246,      0.70935210619912, 1.02897813643603, 0.886101680623091), PROX_PARK = c(1.05372411430502,      1.30337713627377, 1.30337713627377, 1.35146177086674, 0.886796559947336,      1.32632916723033, 1.39203600576681, 1.39203600576681, 1.39748820590438,      0.678969217742802, 1.16446299803307, 1.19384102986047, 1.49155883505512,      0.686441032296595, 0.782164021798725, 0.998254167239372,      1.42084473696832, 1.21748666352844, 1.73717122008599, 1.58077599563476     ), PROX_GOOD_PRISCH = c(6.12314921566155, 5.99275530970335,      5.99275530970335, 6.09534233388474, 6.4097782056775, 6.27623366830878,      6.02718330754398, 6.02718330754398, 6.23706483495109, 6.09357654169244,      5.73062396037349, 5.71328270316738, 6.4246273009838, 5.93514971647738,      5.84268664292306, 5.64801716169655, 5.8611108446886, 5.63578467655705,      6.39421933734494, 5.96493131981452), PROX_MALL = c(0.45623102577182,      0.338688619983659, 0.338688619983659, 0.275346491924215,      0.355568776497803, 0.370949542105629, 0.238316612740974,      0.238316612740974, 0.292722816398213, 0.145699923430919,      0.155488337640192, 0.238209845871265, 0.409369768138594,      0.310729806849059, 0.394873468760787, 0.455554164929496,      0.177442774283774, 0.401390812484646, 0.374078152135628,      0.18546430077947), PROX_CHAS = c(0.290215734280461, 0.338688583692834,      0.338688583692834, 0.275346446899555, 0.121251060497272,      0.370949494121523, 0.238316573509266, 0.238316573509266,      0.292722768811081, 0.0723222156351423, 0.155488306171375,      0.238209795937414, 0.409369730284335, 0.261893114523038,      0.28481487293308, 0.158017550603297, 0.177442804982894, 0.187858028295528,      0.374078140160073, 0.185464348558652), PROX_SUPERMARKET = c(0.162067612034701,      0.112474666082431, 0.112474666082431, 0.141316208924405,      0.350013224352412, 0.235998227482853, 0.177610526119132,      0.177610526119132, 0.254565333705719, 0.157892159590583,      0.152010752053411, 0.238833101010687, 0.389543937857684,      0.322774913149109, 0.407244625741832, 0.387973705585917,      0.197153631350279, 0.412009517866082, 0.357574924056941,      0.198556813498254), WITHIN_350M_KINDERGARTEN = c(1L, 3L,      3L, 3L, 0L, 3L, 3L, 3L, 5L, 0L, 4L, 3L, 2L, 1L, 1L, 1L, 2L,      3L, 2L, 1L), WITHIN_350M_CHILDCARE = c(6L, 9L, 9L, 8L, 4L,      5L, 6L, 6L, 8L, 3L, 8L, 5L, 2L, 4L, 3L, 8L, 7L, 3L, 1L, 5L     ), WITHIN_350M_BUS = c(12L, 15L, 15L, 12L, 9L, 7L, 14L, 14L,      9L, 7L, 14L, 16L, 5L, 8L, 9L, 14L, 15L, 15L, 9L, 15L), WITHIN_1KM_PRISCH = c(3L,      3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L,      3L, 3L, 2L, 2L), DNeighbour = c(0, 253.380873902825, 256.827953746992,      296.899398060664, 322.196375374501, 328.192796922477, 331.808028856782,      333.3198926402, 369.549113122299, 414.398453786611, 452.022873435184,      532.38661542202, 535.58633208362, 544.281737797934, 547.716588388901,      589.025687016554, 638.731362520469, 735.725285967123, 740.070685858817,      745.049630998582)), row.names = c("888", "959", "927", "463",      "711", "806", "566", "490", "54", "510", "450", "572", "974",      "196", "304", "383", "585", "766", "173", "913"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.782060031861446, 0.776466317615724, 0.70761883754465, 0.660948495241838,      0.649574102597782, 0.642663834065674, 0.639762629241771,      0.568482844911551, 0.476981951095386, 0.399314108044535,      0.239508863309993, 0.233521273079835, 0.217458709004121,      0.211202375695169, 0.140605525013754, 0.0702440747730039,      0.000618691221003793, 0.000177442294655689, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1049569822 
R squared (OOB):                  -0.1419343 

$Forests[[889]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418000, 410000, 425000,      435000, 410000, 420000, 373000, 4e+05, 398000, 455000, 365000,      465000, 385000, 450000, 345000, 330000, 4e+05, 3e+05, 312000,      320000), floor_area_sqm = c(112, 93, 93, 92, 92, 92, 92,      92, 92, 106, 91, 106, 90, 93, 95, 105, 90, 85, 107, 104),          storey_order = c(5L, 4L, 4L, 4L, 3L, 5L, 1L, 1L, 2L,          4L, 4L, 2L, 3L, 4L, 3L, 1L, 3L, 2L, 1L, 2L), remaining_lease_mths = c(904,          1117, 1126, 1129, 1131, 1134, 1128, 1127, 1136, 933,          1061, 933, 1060, 950, 1003, 896, 953, 979, 779, 779),          PROX_CBD = c(17.2048826778539, 17.3263676504413, 17.3263676504413,          17.2397585888566, 17.2397585888566, 17.2397585888566,          17.1731083577317, 17.1731083577317, 17.26435404508, 17.1634204962367,          17.5974072281911, 17.1401277939721, 17.6242343596777,          17.4336546583772, 17.7047470513727, 17.9794873864528,          17.5759295796121, 18.0119212314593, 16.6890813896757,          16.6890813896757), PROX_ELDERLYCARE = c(0.400468425457175,          0.561119780492452, 0.561119780492452, 0.500148198332671,          0.500148198332671, 0.500148198332671, 0.456899326246073,          0.456899326246073, 0.542806768712765, 0.565792923614884,          0.819477307137174, 0.586863575497558, 0.892136309268664,          0.825709875044437, 0.933045885854195, 1.20397588034421,          1.07156662032258, 1.25793892145158, 0.296144426041885,          0.296144426041885), PROX_HAWKER = c(0.498365875295267,          0.631285601786086, 0.631285601786086, 0.55990768529081,          0.55990768529081, 0.55990768529081, 0.507233229895407,          0.507233229895407, 0.598096651463893, 0.666841975849823,          0.922900854400271, 0.685044657792881, 0.816419857336687,          0.841716009165303, 1.00938993481846, 0.736691454978467,          0.622851592932912, 1.33204585660377, 0.360513691606501,          0.360513691606501), PROX_MRT = c(0.87869292375624, 1.13344401626098,          1.13344401626098, 1.16124452414741, 1.16124452414741,          1.16124452414741, 1.18009183772516, 1.18009183772516,          1.20599959693509, 0.463116738810145, 0.830609903675807,          0.418422993771755, 0.729175757939742, 0.463093751675267,          1.29287496569192, 1.05284557964442, 0.449846795062068,          1.54554013822754, 0.937471590679814, 0.937471590679814         ), PROX_PARK = c(0.9054780070858, 0.872985599051717,          0.872985599051717, 0.959994438388966, 0.959994438388966,          0.959994438388966, 1.02763138312455, 1.02763138312455,          0.937816003807321, 0.505224516024672, 0.751240825934154,          0.454841043819919, 0.830497330619545, 0.609424449579261,          0.495314460898113, 0.555889077383573, 0.650211227804106,          0.23250554954982, 1.20981147430356, 1.20981147430356),          PROX_GOOD_PRISCH = c(6.57740517739392, 6.72174636420399,          6.72174636420399, 6.64012383316355, 6.64012383316355,          6.64012383316355, 6.57664814247058, 6.57664814247058,          6.66937916554136, 6.50789265243056, 6.95474206477502,          6.48254224033906, 6.97273607492461, 6.77374769998522,          7.10206992983331, 7.33264137396139, 6.90999703096039,          7.41905192895776, 6.16175607197734, 6.16175607197734),          PROX_MALL = c(0.446026044391999, 0.530342726071102, 0.530342726071102,          0.450738515511335, 0.450738515511335, 0.450738515511335,          0.392080122681935, 0.392080122681935, 0.484724019608978,          0.353588302636786, 0.757845794253982, 0.306862579253759,          0.671391539314818, 0.404491618549369, 0.790613232916467,          0.387548928263219, 0.456006423255308, 0.658794213245526,          0.571849863617429, 0.571849863617429), PROX_CHAS = c(0.130380344727655,          0.254413742194056, 0.254413742194056, 0.221318263528924,          0.221318263528924, 0.221318263528924, 0.214971829128206,          0.214971829128206, 0.270084445320348, 0.171584438209325,          0.175468897673469, 0.133156315003352, 0.0497500971788425,          0.260153188296123, 0.40646651865696, 0.324283073315245,          0.401255348981324, 0.166262674114357, 0.332465298200207,          0.332465298200207), PROX_SUPERMARKET = c(0.445962312606475,          0.529573977763673, 0.529573977763673, 0.449846933875903,          0.449846933875903, 0.449846933875903, 0.391090025360665,          0.391090025360665, 0.483753219919624, 0.320581809168482,          0.336744227428862, 0.27639551573194, 0.442456788826315,          0.355873580059747, 0.260900811674997, 0.337417678694655,          0.338457664260807, 0.385510043100507, 0.204374831829505,          0.204374831829505), WITHIN_350M_KINDERGARTEN = c(3L,          2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 0L, 1L, 0L,          2L, 1L, 1L, 3L, 3L), WITHIN_350M_CHILDCARE = c(2L, 3L,          3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 2L, 4L, 2L, 3L,          5L, 3L, 3L, 3L), WITHIN_350M_BUS = c(8L, 5L, 5L, 6L,          6L, 6L, 8L, 8L, 6L, 8L, 6L, 7L, 12L, 12L, 6L, 9L, 8L,          9L, 9L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          3L, 2L, 2L, 3L, 4L, 4L, 4L, 4L, 6L, 3L, 5L, 4L, 4L, 4L,          4L), DNeighbour = c(0, 269.407575689755, 270.987139939608,          286.01015198296, 286.362265693361, 291.780697434358,          310.84506692693, 313.068094682902, 332.334223819074,          413.972598426573, 428.275528206348, 458.61004919679,          524.183451004545, 555.470850350876, 569.280252218929,          806.224216906848, 810.789059473674, 895.878313003643,          914.986713669123, 918.045692389226)), row.names = c("889",      "797", "925", "290", "86", "280", "985", "507", "847", "991",      "720", "530", "300", "535", "631", "870", "357", "228", "497",      "328"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.835181368918927,      0.83333125072507, 0.815303058606795, 0.814871276085219, 0.808174593307581,      0.783851491236558, 0.780940214327578, 0.755082223019486,      0.634673289836543, 0.612103473686751, 0.56317437005413, 0.454255340446599,      0.401835383726006, 0.378810497430631, 0.0523363880408658,      0.048405877487091, 0.00227619621115159, 4.4262507028586e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2231790075 
R squared (OOB):                  0.05942765 

$Forests[[890]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(345000, 335000, 420000,      420000, 380000, 336000, 340000, 370000, 323000, 380000, 310000,      325000, 390000, 295000, 325000, 345000, 345000, 370000, 350000,      343000), floor_area_sqm = c(102, 101, 92, 93, 93, 104, 101,      93, 104, 93, 104, 104, 126, 105, 90, 103, 104, 103, 104,      102), storey_order = c(2L, 2L, 6L, 3L, 1L, 4L, 5L, 1L, 3L,      1L, 1L, 1L, 2L, 1L, 4L, 5L, 4L, 4L, 2L, 5L), remaining_lease_mths = c(935,      933, 1104, 1139, 1138, 958, 943, 1139, 956, 1142, 879, 872,      879, 870, 912, 944, 862, 881, 863, 935), PROX_CBD = c(16.0814208174046,      16.135389698045, 16.0058570800758, 15.9652529785268, 15.9652529785268,      16.2237683329895, 15.9284058495794, 15.8422849591204, 16.3822081442679,      15.6174435761395, 15.9652370890998, 15.9652370890998, 16.1769042321823,      16.027241877126, 16.3759795802925, 15.6615925135045, 16.2035530975804,      15.9139497277605, 15.9139497277605, 15.6558233565228), PROX_ELDERLYCARE = c(0.129424766752979,      0.214357316635524, 0.0922651494707867, 0.120425003900544,      0.120425003900544, 0.233700982090528, 0.260351961534281,      0.241353796602158, 0.317064501792404, 0.457575537702088,      0.372962984236141, 0.372962984236141, 0.382017171357745,      0.401697186037664, 0.437652472603004, 0.372854461013726,      0.462412199513001, 0.471057675436291, 0.471057675436291,      0.268146833149962), PROX_HAWKER = c(2.40830007300065, 2.40272097648418,      2.393526972262, 2.36922200206298, 2.36922200206298, 2.48966457045008,      2.2342618496891, 2.37354129025836, 2.76474077583521, 2.21004723991438,      2.45115541279444, 2.45115541279444, 2.55739022352562, 2.44772974464855,      2.71828200917597, 2.39243139523594, 2.51024920878341, 2.34701070601947,      2.34701070601947, 2.27183532495414), PROX_MRT = c(1.00126993569874,      1.09323648573999, 0.910164710677637, 0.886101680623091, 0.886101680623091,      1.11461848888664, 1.02417718077332, 0.721786411333246, 1.02897813643603,      0.70935210619912, 0.52727924180445, 0.52727924180445, 0.674610535324426,      0.538616250543522, 0.870089952652958, 0.499275570100955,      0.65447898159524, 0.424613907535265, 0.424613907535265, 0.370313443989706     ), PROX_PARK = c(1.7154732425778, 1.7942088991982, 1.6216647961598,      1.58077599563476, 1.58077599563476, 1.86547668850022, 1.61207436869795,      1.42084473696832, 1.73717122008599, 1.21748666352844, 1.39203600576681,      1.39203600576681, 1.39748820590438, 1.35146177086674, 1.49155883505512,      1.19384102986047, 1.32632916723033, 1.30337713627377, 1.30337713627377,      1.16446299803307), PROX_GOOD_PRISCH = c(6.0710937852797,      6.11593822040069, 6.00411547246196, 5.96493131981452, 5.96493131981452,      6.20687623278084, 5.90870946924896, 5.8611108446886, 6.39421933734494,      5.63578467655705, 6.02718330754398, 6.02718330754398, 6.23706483495109,      6.09534233388474, 6.4246273009838, 5.71328270316738, 6.27623366830878,      5.99275530970335, 5.99275530970335, 5.73062396037349), PROX_MALL = c(0.261655001598387,      0.350342319635, 0.187934498474296, 0.18546430077947, 0.18546430077947,      0.36788016328609, 0.350369242497661, 0.177442774283774, 0.374078152135628,      0.401390812484646, 0.238316612740974, 0.238316612740974,      0.292722816398213, 0.275346491924215, 0.409369768138594,      0.238209845871265, 0.370949542105629, 0.338688619983659,      0.338688619983659, 0.155488337640192), PROX_CHAS = c(0.26165503944411,      0.350342354631045, 0.187934543511456, 0.185464348558652,      0.185464348558652, 0.367880188789974, 0.35036929019185, 0.177442804982894,      0.374078140160073, 0.187858028295528, 0.238316573509266,      0.238316573509266, 0.292722768811081, 0.275346446899555,      0.409369730284335, 0.238209795937414, 0.370949494121523,      0.338688583692834, 0.338688583692834, 0.155488306171375),          PROX_SUPERMARKET = c(0.265481412722203, 0.352223797136593,          0.197516435852273, 0.198556813498254, 0.198556813498254,          0.364697803989784, 0.363015443397577, 0.197153631350279,          0.357574924056941, 0.412009517866082, 0.177610526119132,          0.177610526119132, 0.254565333705719, 0.141316208924405,          0.389543937857684, 0.238833101010687, 0.235998227482853,          0.112474666082431, 0.112474666082431, 0.152010752053411         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 1L, 1L, 0L,          0L, 2L, 2L, 3L, 3L, 3L, 5L, 3L, 2L, 3L, 3L, 3L, 3L, 4L         ), WITHIN_350M_CHILDCARE = c(5L, 2L, 5L, 5L, 5L, 2L,          3L, 7L, 1L, 3L, 6L, 6L, 8L, 8L, 2L, 5L, 5L, 9L, 9L, 8L         ), WITHIN_350M_BUS = c(13L, 9L, 14L, 15L, 15L, 9L, 10L,          15L, 9L, 15L, 14L, 14L, 9L, 12L, 5L, 16L, 7L, 15L, 15L,          14L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L,          3L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L),          DNeighbour = c(0, 92.0589418536098, 94.3776625555826,          128.574526669653, 135.603685254463, 152.290864233482,          177.202168438239, 305.437553365523, 362.304583161342,          491.918733333196, 498.310259082379, 499.431300282047,          506.76824231116, 525.945414028709, 531.819796070024,          569.802016722339, 580.515649999062, 595.608228693711,          599.360570788443, 676.248047177332)), row.names = c("890",      "88", "154", "137", "913", "394", "705", "585", "173", "766",      "490", "566", "54", "463", "974", "572", "806", "927", "959",      "450"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.963279634551416,      0.96142497343705, 0.929008504283522, 0.921197401517125, 0.901142183112562,      0.867387652925935, 0.633614018985996, 0.508318382912548,      0.221704455376554, 0.20886296564719, 0.206633377608342, 0.192217650256926,      0.156119734885261, 0.145566975084587, 0.0841212715432514,      0.0692151279972291, 0.0502980399772877, 0.0459962056119053,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       737263052 
R squared (OOB):                  0.3373246 

$Forests[[891]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 333000, 375000,      335000, 420000, 410000, 432000, 371000, 415000, 388000, 305000,      365000, 349000, 368000, 435000, 323000, 380000, 319000, 280000,      310000), floor_area_sqm = c(99, 99, 102, 100, 92, 92, 92,      100, 92, 92, 99, 92, 103, 106, 92, 101, 105, 101, 90, 89),          storey_order = c(3L, 3L, 3L, 4L, 1L, 2L, 4L, 2L, 2L,          1L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 4L, 3L, 1L), remaining_lease_mths = c(915,          927, 932, 927, 1121, 1136, 1123, 918, 1125, 1134, 930,          1135, 832, 952, 1118, 937, 910, 950, 958, 946), PROX_CBD = c(17.6482187406162,          17.6933534103443, 17.424297644009, 17.5934100264964,          17.7152334804069, 17.7152334804069, 17.7152334804069,          17.9318121245061, 17.7609329148819, 17.8160591469996,          17.5508688704121, 17.8160591469996, 18.0642207733449,          17.1751323002447, 17.3261487576713, 17.4093430047218,          17.589085398281, 17.1356331652512, 17.0860498579873,          17.0860498579873), PROX_ELDERLYCARE = c(0.399377154365588,          0.174626049595048, 0.332680427012888, 0.183364759720919,          0.0982899037000713, 0.0982899037000713, 0.0982899037000713,          0.559180828327224, 0.0656405943898966, 0.101440000613482,          0.169110695114153, 0.101440000613482, 0.558648465009425,          0.268202380119324, 0.0820501598186151, 0.347622879353981,          0.387351173411546, 0.585213362825854, 0.634635376150565,          0.634635376150565), PROX_HAWKER = c(1.11261554439583,          0.89059259132002, 1.2762396177499, 0.860123145519879,          0.815736811633103, 0.815736811633103, 0.815736811633103,          1.18812307179958, 0.769612072642938, 0.755409785256781,          0.736171211400498, 0.755409785256781, 1.20831273824173,          1.37649043343687, 1.11394087375576, 0.646263997619536,          0.776912813652288, 0.905166107754752, 0.984075399620173,          0.984075399620173), PROX_MRT = c(0.417091391951799, 0.606842528225389,          0.484502150769697, 0.675234243169572, 0.674833365376197,          0.674833365376197, 0.674833365376197, 0.256828620430729,          0.714624513867521, 0.729659889526201, 0.804998329325227,          0.729659889526201, 0.387700307898407, 0.477350523334022,          0.527347528775627, 0.722831181419355, 0.371614593402704,          0.689848925621533, 0.610921595420819, 0.610921595420819         ), PROX_PARK = c(1.38656874841243, 1.49905344652453,          1.39102562335911, 1.60355051242194, 1.52614967260321,          1.52614967260321, 1.52614967260321, 1.11695175135574,          1.52091098886828, 1.49250729308795, 1.71737354643835,          1.49250729308795, 1.04306097562022, 1.53652128691969,          1.2769930066147, 1.92330050908574, 0.925923962472294,          2.00545012030434, 1.98249707589613, 1.98249707589613),          PROX_GOOD_PRISCH = c(8.34983568407236, 8.34857469941546,          8.1609833985331, 8.24279341902993, 8.35538963357137,          8.35538963357137, 8.35538963357137, 8.65275846320069,          8.39120163011403, 8.44175881664207, 8.17476856172454,          8.44175881664207, 8.76549326341746, 7.92485948387043,          8.12402124316527, 8.00696366683488, 8.43639308613493,          7.76178719780886, 7.72567604662297, 7.72567604662297),          PROX_MALL = c(0.439097430243665, 0.223321337745784, 0.394560370801339,          0.188384425612312, 0.158599011552442, 0.158599011552442,          0.158599011552442, 0.417130987397582, 0.147411017927622,          0.183177100903513, 0.109574351562212, 0.183177100903513,          0.424594513900518, 0.221509518429623, 0.48073822857487,          0.265229996889848, 0.232188905247248, 0.382407895591973,          0.314944256820634, 0.314944256820634), PROX_CHAS = c(0.414359256629807,          0.21485891447712, 0.265229996652697, 0.151781240761386,          0.158598978424062, 0.158598978424062, 0.158598978424062,          0.259891808560044, 0.14741100268466, 0.183177099178452,          0.048268048492383, 0.183177099178452, 0.124680964632411,          0.166686655025282, 0.111581872390774, 0.23105278557526,          0.0713809516165408, 0.257714074421561, 0.250499161266826,          0.250499161266826), PROX_SUPERMARKET = c(0.441697647833666,          0.218378438252518, 0.265230176390619, 0.209139790637019,          0.144345834884574, 0.144345834884574, 0.144345834884574,          0.438907970807184, 0.113022549454425, 0.137568853383185,          0.15801430638391, 0.137568853383185, 0.424593495373258,          0.166252253534119, 0.111582815761828, 0.313773352526138,          0.238177195426237, 0.257714572429151, 0.250499698074938,          0.250499698074938), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 5L,          2L, 6L, 6L, 6L, 6L, 3L, 8L, 8L, 7L, 8L, 2L, 4L, 3L, 7L,          2L, 5L, 6L, 6L), WITHIN_350M_BUS = c(9L, 13L, 9L, 12L,          12L, 12L, 12L, 9L, 10L, 15L, 12L, 15L, 7L, 10L, 8L, 13L,          8L, 11L, 11L, 11L), WITHIN_1KM_PRISCH = c(7L, 8L, 5L,          8L, 7L, 7L, 7L, 7L, 6L, 6L, 6L, 6L, 6L, 5L, 5L, 5L, 5L,          4L, 4L, 4L), DNeighbour = c(0, 223.020928525951, 256.496161140436,          259.809062247179, 294.520203665227, 300.558958345028,          304.229532924771, 315.832694804141, 360.256641429343,          394.557778837368, 398.72461122116, 399.024784119539,          425.444599308132, 492.969399652491, 497.705209509178,          593.563250665928, 627.697241458128, 655.1785210105, 657.836975332275,          658.777215974946)), row.names = c("891", "112", "736",      "419", "289", "13", "298", "976", "365", "53", "438", "402",      "773", "658", "372", "174", "464", "99", "704", "685"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.783919384160802, 0.719791209405181, 0.713119130422589,      0.640204017341972, 0.627022021925347, 0.618947313954045,      0.593137118042324, 0.491327964059712, 0.411252233697811,      0.401541453752948, 0.400842470311978, 0.33980745554923, 0.193628645215331,      0.184231517776152, 0.0354137373710921, 0.00848807799623105,      0.000118712721442775, 8.13655981751296e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       989331356 
R squared (OOB):                  0.5018809 

$Forests[[892]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(428888, 415000, 658000,      615000, 405000, 585000, 365000, 575000, 540000, 468000, 420000,      415000, 565000, 450000, 417000, 4e+05, 422500, 435000, 420000,      430000), floor_area_sqm = c(84, 84, 84, 84, 106, 93, 84,      93, 93, 106, 106, 103, 93, 106, 99, 107, 104, 99, 105, 103     ), storey_order = c(3L, 3L, 3L, 2L, 2L, 4L, 4L, 5L, 4L, 5L,      3L, 2L, 6L, 2L, 3L, 1L, 3L, 2L, 2L, 2L), remaining_lease_mths = c(774,      782, 1120, 1122, 778, 1142, 787, 1133, 1142, 863, 874, 768,      1127, 919, 914, 912, 765, 928, 787, 764), PROX_CBD = c(12.8776183162857,      12.8776183162857, 12.4891302242583, 12.3801819754074, 13.2146489403719,      12.454441113408, 13.5012180894848, 12.4342034244884, 12.5378737745647,      13.629257933267, 13.629257933267, 13.0537205387581, 12.4937468159193,      13.6245617307962, 12.2815153207229, 13.6047453762483, 13.4875816574924,      12.2106818490232, 12.7549887608908, 12.3243460542753), PROX_ELDERLYCARE = c(0.211786543917104,      0.211786543917104, 0.707031754326944, 0.738453704244922,      0.392334185262972, 0.717258387107597, 0.126566715598502,      0.678867196986192, 0.76025522927712, 0.207468408301612, 0.207468408301612,      0.569472877275307, 0.714783075399861, 0.120631950903102,      0.513657423159811, 0.271914041498034, 0.428841001075194,      0.442541563379791, 0.556485595404089, 0.362207242709056),          PROX_HAWKER = c(0.677647820815747, 0.677647820815747,          0.384467206049481, 0.261296216065877, 1.1504484389926,          0.459376407452819, 1.32455892398921, 0.504612881494125,          0.672948721825079, 1.4012681206183, 1.4012681206183,          0.963287544217337, 0.680821394190482, 1.48009929412898,          0.52278816815954, 1.50728197565297, 1.41347495302278,          0.524204307723605, 0.627642822312809, 0.290415492755609         ), PROX_MRT = c(0.301948361527339, 0.301948361527339,          0.38468199977318, 0.367154517888221, 0.530339592860526,          0.518913352820399, 0.54422435083218, 0.586933783104383,          0.707305973375369, 0.681065013996815, 0.681065013996815,          0.551410176707671, 0.743366527772832, 0.357520644011877,          0.703998835661039, 0.222008379422339, 0.229256973107587,          0.743103019894999, 0.561554903993597, 0.559245805822074         ), PROX_PARK = c(0.246982674114576, 0.246982674114576,          0.50651752093578, 0.605799570777928, 0.763919329225246,          0.580711209690395, 0.593866981909781, 0.628391467794767,          0.628331945846246, 0.403276931712581, 0.403276931712581,          0.974634241933185, 0.683130710636032, 0.731000545087102,          0.796788171077343, 0.882483872449952, 1.00267286051928,          0.863487882808023, 1.16122098497616, 1.218970746516),          PROX_GOOD_PRISCH = c(1.22334421357001, 1.22334421357001,          0.94986022590219, 0.823417580851307, 1.57814209766337,          0.990054087408291, 1.8351788996921, 1.01367306567257,          1.17951788917503, 1.96779323327463, 1.96779323327463,          1.48818847749708, 1.16886515239787, 1.96554365084008,          0.952579960345566, 1.96272742295518, 1.87202126825599,          0.91368762909787, 1.29435567579286, 0.889618707353532         ), PROX_MALL = c(0.503182159926002, 0.503182159926002,          0.458049841664737, 0.344173235497563, 0.655287065425073,          0.549832225559512, 0.956400108312903, 0.600548053404267,          0.766094086501437, 1.12429495075828, 1.12429495075828,          0.593340478429386, 0.778202426893423, 1.05956757611768,          0.630705874818675, 1.0427530371351, 0.948424723316687,          0.634332011832188, 0.542723135774117, 0.471904090765479         ), PROX_CHAS = c(0.128785172156574, 0.128785172156574,          3.00974727266337e-08, 0.126495411341712, 0.358071114142678,          0.134313038880304, 0.0648495538885981, 0.134041173915956,          0.187116592266412, 0.260044927245007, 0.260044927245007,          0.203693673714882, 0.147744885974614, 2.17172157220984e-06,          0.0753088652692227, 0.15212794302602, 0.231037598077535,          0.140964983635816, 0.144180959238343, 0.193597629002809         ), PROX_SUPERMARKET = c(0.17067511852319, 0.17067511852319,          0.425107542879533, 0.30203349112312, 0.384538867225359,          0.499432454100223, 0.329742543966106, 0.543693418915242,          0.707597649659388, 0.288903462518554, 0.288903462518554,          0.349948262987797, 0.667447252804164, 0.237807435452358,          0.448534184110051, 0.353624023725788, 0.231037826802092,          0.377835654599335, 0.150188458093997, 0.331501685351864         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 2L, 2L, 2L, 2L,          1L, 2L, 0L, 3L, 3L, 2L, 0L, 3L, 1L, 0L, 2L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 3L, 3L, 4L,          5L, 4L, 5L, 6L, 6L, 2L, 4L, 5L, 6L, 6L, 2L, 5L, 3L, 4L         ), WITHIN_350M_BUS = c(12L, 12L, 10L, 8L, 9L, 11L, 7L,          12L, 11L, 6L, 6L, 8L, 11L, 10L, 12L, 12L, 10L, 11L, 7L,          4L), WITHIN_1KM_PRISCH = c(4L, 4L, 5L, 4L, 6L, 3L, 4L,          1L, 1L, 2L, 2L, 6L, 1L, 4L, 2L, 5L, 5L, 2L, 5L, 6L),          DNeighbour = c(0, 8.90912631861192, 508.396324540418,          562.224189660613, 604.824550259316, 623.588424020767,          657.389106557104, 680.069478489432, 741.198641789092,          747.899275117584, 750.94786718636, 772.815887180063,          789.206979484827, 829.584140625816, 834.952659220971,          880.900579524054, 881.860289245318, 897.24924078504,          923.343146686905, 982.911049234261)), row.names = c("892",      "259", "505", "315", "511", "641", "264", "310", "343", "415",      "503", "541", "24", "656", "362", "955", "663", "42", "215",      "861"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999835693798994,      0.53650879908433, 0.452682827176679, 0.386084027762586, 0.357004289539651,      0.30545716807238, 0.271736789184226, 0.186067621144826, 0.177264319457572,      0.173304068833368, 0.145777057374333, 0.126242594093462,      0.0827434482516808, 0.0775077204885067, 0.038729033591863,      0.0380428872920066, 0.0277912039120033, 0.0138143155939321,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2188412332 
R squared (OOB):                  0.6935567 

$Forests[[893]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(325000, 3e+05, 420000,      428000, 333000, 360000, 425000, 431000, 395000, 395000, 426000,      410000, 330000, 355000, 308000, 315000, 360000, 365000, 380000,      295000), floor_area_sqm = c(84, 84, 90, 90, 103, 99, 92,      92, 92, 90, 92, 92, 103, 103, 84, 84, 103, 107, 93, 106),          storey_order = c(2L, 2L, 8L, 8L, 2L, 2L, 6L, 9L, 4L,          5L, 6L, 2L, 2L, 3L, 1L, 3L, 1L, 1L, 1L, 1L), remaining_lease_mths = c(783,          797, 1011, 1008, 788, 796, 1006, 1010, 1010, 1010, 1012,          1004, 800, 793, 795, 788, 777, 766, 1142, 825), PROX_CBD = c(14.1279251783367,          14.3169519114025, 13.8798013735997, 13.8412030491349,          14.3532733654858, 13.8977069202737, 14.0603534116893,          14.0603534116893, 14.0603534116893, 13.990153115514,          14.0324943086614, 14.000256381606, 13.46147060752, 13.46147060752,          13.3304860768802, 13.0463978034086, 13.7231688188033,          13.578535689825, 15.6174435761395, 14.7220636963442),          PROX_ELDERLYCARE = c(1.66641228888996, 1.55261218152075,          1.77270985488013, 1.74703283433278, 1.6760601574403,          1.56746404607568, 1.50084223071099, 1.50084223071099,          1.50084223071099, 1.56992496550613, 1.51384309451853,          1.50178268661881, 1.01995663096129, 1.01995663096129,          0.85382998667073, 0.612412426395362, 0.681177733621966,          0.535215785060316, 0.457575537702088, 0.327768156942021         ), PROX_HAWKER = c(1.24304803992561, 1.19367588944735,          1.47024255459416, 1.43519165592487, 0.99569743308136,          1.04237506554324, 1.69193386873811, 1.69193386873811,          1.69193386873811, 1.69002608854433, 1.73133481154049,          1.77005964815816, 1.03983060555389, 1.03983060555389,          1.09459947163448, 1.36023111372333, 0.601426993813282,          0.775756145922257, 2.21004723991438, 1.39864823048803         ), PROX_MRT = c(0.59155533687368, 0.753004841751307,          0.523014705157119, 0.462396576385451, 0.756418829435307,          0.300373388684648, 0.836549486170002, 0.836549486170002,          0.836549486170002, 0.789673249073619, 0.85175230125279,          0.865600228728207, 0.367668143276235, 0.367668143276235,          0.525688124362732, 0.622051877914657, 0.498221170198522,          0.357978123578611, 0.70935210619912, 0.0523025726452692         ), PROX_PARK = c(1.00515750023779, 1.00962818739137,          0.782127938386311, 0.752068597068081, 1.20426051281307,          0.782220037546154, 0.66093693759156, 0.66093693759156,          0.66093693759156, 0.716145735764812, 0.65310707550057,          0.652876507033438, 0.582693033366388, 0.582693033366388,          0.620743454357064, 0.572775970192077, 1.26781451063295,          1.33984402369384, 1.21748666352844, 0.432331111477529         ), PROX_GOOD_PRISCH = c(4.09179045416031, 4.27446656255715,          3.87304276717541, 3.82728738248792, 4.29145341198416,          3.83525569342672, 4.09775909461572, 4.09775909461572,          4.09775909461572, 4.0269654833207, 4.07805978762992,          4.05408625233137, 3.38131302543864, 3.38131302543864,          3.24954726475941, 2.96540091825049, 3.673854441535, 3.55013641033528,          5.63578467655705, 4.99661753747661), PROX_MALL = c(1.48884664162065,          1.50622914679999, 1.33861894221302, 1.33339622609195,          1.45738633765159, 1.14150204308926, 1.38265334141638,          1.38265334141638, 1.38265334141638, 1.32125061115982,          1.34360210764349, 1.30130189944441, 0.644549177151603,          0.644549177151603, 0.513372166694422, 0.587476612974174,          0.406890039239853, 0.305514521023982, 0.401390812484646,          0.343882807046916), PROX_CHAS = c(0.283027750434604,          0.149961616171305, 0.058882652003164, 0.116038559859119,          0.0428610630237518, 0.162936326565904, 0.266609427013402,          0.266609427013402, 0.266609427013402, 0.231188025602735,          0.288579392766018, 0.313291309929199, 0.348399033159575,          0.348399033159575, 0.472814153962233, 0.40513819943783,          0.176857487498571, 0.282171570268124, 0.187858028295528,          0.141205029857343), PROX_SUPERMARKET = c(0.283027750434408,          0.277976240278344, 0.0588826520022197, 0.116038559858059,          0.400567683079086, 0.162936951836525, 0.266609427014493,          0.266609427014493, 0.266609427014493, 0.231188025603748,          0.288579392767071, 0.313291309930196, 0.356146193343619,          0.356146193343619, 0.510727353781082, 0.599997973636583,          0.270532795629183, 0.281417393052806, 0.412009517866082,          0.141204847242777), WITHIN_350M_KINDERGARTEN = c(2L,          3L, 1L, 1L, 2L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L,          2L, 0L, 1L, 3L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          2L, 3L, 3L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 3L, 4L, 2L,          4L, 4L, 3L, 3L), WITHIN_350M_BUS = c(10L, 9L, 5L, 5L,          10L, 5L, 4L, 4L, 4L, 4L, 4L, 3L, 6L, 6L, 5L, 7L, 8L,          10L, 15L, 8L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 3L,          2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 3L, 4L,          3L, 2L), DNeighbour = c(0, 190.925341294973, 306.48122719868,          320.444761159138, 331.041127599216, 359.400474619325,          445.79421326889, 449.716549530746, 451.53504933581, 453.389847308075,          486.292150404192, 532.073238029147, 901.813839434543,          910.83801979664, 1080.47872609257, 1296.77642459961,          1345.12500533412, 1533.68221250246, 1567.01885468127,          1574.84756409617)), row.names = c("893", "650", "877",      "678", "697", "479", "241", "55", "805", "276", "675", "726",      "526", "332", "61", "987", "960", "856", "766", "786"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.970820573929758, 0.925688195987062, 0.918908666248438,      0.913579980356045, 0.898550218655033, 0.846161949058958,      0.843558429308492, 0.842345002521354, 0.841103215968215,      0.818392903465589, 0.784734940109065, 0.451702852667538,      0.442880887475374, 0.280145644027668, 0.103660401419023,      0.0731493954531659, 0.00266207097149, 9.83561877372499e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       746918490 
R squared (OOB):                  0.6575191 

$Forests[[894]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(366800, 380000, 315000,      380000, 480000, 323000, 445000, 338000, 348000, 309000, 345000,      388000, 385000, 330000, 350880, 430000, 635000, 333000, 518000,      592000), floor_area_sqm = c(105, 103, 91, 100, 104, 92, 100,      93, 93, 91, 91, 104, 104, 84, 91, 91, 105, 84, 88, 108),          storey_order = c(2L, 1L, 1L, 4L, 2L, 2L, 3L, 5L, 4L,          2L, 3L, 3L, 4L, 3L, 2L, 4L, 4L, 3L, 3L, 2L), remaining_lease_mths = c(761,          923, 722, 931, 777, 690, 949, 860, 777, 774, 773, 751,          740, 791, 785, 777, 833, 823, 770, 810), PROX_CBD = c(8.5913881835975,          8.21483984631558, 8.21547938057256, 8.15573636625741,          8.81196120759187, 9.445702961959, 9.38671442358298, 9.71808261065178,          9.5834162789491, 9.64616581570663, 9.63489497584329,          10.2659136784881, 10.2659136784881, 9.73525531751342,          10.3813809316332, 10.4167519306418, 7.22087947204147,          9.85122377146013, 7.79515244158294, 7.18468073982128),          PROX_ELDERLYCARE = c(0.675108088860868, 0.287120499253456,          0.425001866306461, 0.30639563225599, 0.68560621126507,          0.0646727834979237, 0.197320443098403, 0.288600487645686,          0.221128007339761, 0.306199433665808, 0.42629854090558,          0.737818764037149, 0.737818764037149, 0.869795033999967,          0.833489789321986, 0.852176862644424, 1.54373359073656,          0.999223533815273, 1.83577537822547, 1.63490637838594         ), PROX_HAWKER = c(0.151496134675632, 0.248204869380096,          0.272525769496456, 0.288074572046437, 0.290355020850324,          0.802499530175562, 0.671765492644128, 1.10941781168001,          0.844035637065003, 0.906506968115566, 0.908741650371918,          1.65941342147148, 1.65941342147148, 0.687117415591119,          1.5910354083573, 1.55256346901264, 1.05968958012269,          0.526313717816828, 1.19066876388205, 1.02937341390922         ), PROX_MRT = c(0.864705124656065, 1.08736551837768,          0.877462529610437, 0.998476915081282, 0.425157896719621,          0.834535111428891, 0.671695564859285, 0.750225097750018,          0.679762822214213, 0.626377719466395, 0.669484450879797,          0.684374477874155, 0.684374477874155, 0.86810604264512,          0.699917284291438, 0.686459009674335, 0.206889953987817,          0.907717901248049, 0.499752126280618, 0.13577722868059         ), PROX_PARK = c(0.545921527880028, 0.587773758099403,          0.34344129155164, 0.465482353353317, 0.468007817587664,          0.508498628446561, 0.409638708762546, 0.552878075981585,          0.171128410914521, 0.106198450905693, 0.197084482081202,          0.570788416471153, 0.570788416471153, 0.452373350223662,          0.616002692100522, 0.613918856542286, 0.769170147627311,          0.510337594738446, 0.723268787935639, 0.802458220215738         ), PROX_GOOD_PRISCH = c(2.65365036334729, 2.8757656049093,          2.64672046335999, 2.76944558246381, 2.18636815139252,          2.16640973416033, 1.96445822173508, 2.3197363622043,          1.81796659730331, 1.71137279935344, 1.59153495480405,          2.58742850928016, 2.58742850928016, 1.15234422615158,          2.6286340652406, 2.62113030487697, 2.65891054731874,          1.05242409875061, 1.9917971907287, 2.6636605310312),          PROX_MALL = c(0.81045000642783, 1.020621498239, 0.807676293785945,          0.92903564794814, 0.389401354829447, 0.855253012280219,          0.704978058880463, 0.64580888250568, 0.812301361871699,          0.808294932987377, 0.873569112263515, 0.364765391124967,          0.364765391124967, 0.907839978504126, 0.365493224544838,          0.350991485118426, 0.389192825268572, 0.756051767526383,          0.483735594398556, 0.319563922107573), PROX_CHAS = c(0.0629474356823598,          0.132091194783373, 0.136581974857907, 0.211513021624011,          0.210741683871549, 0.378465676389041, 0.181909444046462,          0.122290728478786, 0.334146331647452, 0.415210445937219,          0.454068185577158, 0.204257711541377, 0.204257711541377,          0.116614388177292, 0.28517644723447, 0.302383860370021,          0.201367273106442, 3.39583191183935e-08, 0.157541179554435,          0.244287808759251), PROX_SUPERMARKET = c(0.140831249897628,          0.249780587504203, 0.281285688066644, 0.324462496048725,          0.365648379234028, 0.234896025437738, 0.448356351676465,          0.190117050177684, 0.581458245406798, 0.675617328849562,          0.717910522287554, 0.384238743245603, 0.384238743245603,          0.458729641056945, 0.49431722643315, 0.519095500550079,          0.425467495913439, 0.350225948243757, 0.305647853022819,          0.350395790631763), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 1L, 1L, 2L, 3L, 2L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L,          1L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(0L, 1L,          2L, 2L, 3L, 3L, 3L, 2L, 3L, 1L, 1L, 6L, 6L, 2L, 6L, 6L,          7L, 3L, 2L, 6L), WITHIN_350M_BUS = c(8L, 8L, 8L, 8L,          7L, 10L, 9L, 6L, 7L, 8L, 5L, 8L, 8L, 10L, 10L, 9L, 11L,          10L, 10L, 12L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L,          1L, 2L, 2L, 2L, 4L, 4L, 3L, 2L, 2L, 4L, 2L, 2L, 1L, 4L,          2L, 1L), DNeighbour = c(0, 392.324029791029, 411.814273342667,          441.738917736666, 479.377886817173, 924.526806804409,          958.240684041974, 1150.61649111502, 1204.09940830606,          1317.86964240665, 1375.04962157405, 1677.08682936452,          1680.62255925372, 1747.05869511258, 1794.95346135587,          1832.10748114531, 1873.09833140007, 1908.54864815161,          1923.75934071615, 1959.90839631624)), row.names = c("894",      "60", "691", "435", "465", "67", "373", "624", "799", "785",      "273", "77", "501", "921", "626", "480", "344", "129", "209",      "370"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.92146579452045,      0.913649118473109, 0.900981513472336, 0.883928580165518,      0.604476410747061, 0.579054187026395, 0.429471807614193,      0.387575309764917, 0.300150087847558, 0.25783369276498, 0.0717079680576614,      0.070062267370323, 0.0421930050043481, 0.0260001264188261,      0.0159171433647223, 0.00750371328226726, 0.00267533539238309,      0.0013357800477363, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5492701924 
R squared (OOB):                  0.3494313 

$Forests[[895]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 320000, 310000,      331000, 268000, 323000, 310000, 4e+05, 370000, 385000, 415000,      568000, 368000, 565000, 350000, 508000, 375000, 340000, 370000,      530000), floor_area_sqm = c(104, 105, 104, 107, 84, 104,      105, 96, 92, 92, 93, 92, 92, 92, 104, 92, 92, 92, 92, 92),          storey_order = c(1L, 3L, 3L, 2L, 3L, 2L, 3L, 2L, 1L,          3L, 4L, 4L, 2L, 5L, 3L, 1L, 1L, 2L, 1L, 2L), remaining_lease_mths = c(807,          815, 869, 869, 822, 806, 827, 1098, 1090, 1132, 1141,          1117, 1100, 1117, 812, 1121, 1139, 1133, 1146, 1108),          PROX_CBD = c(15.3877172812078, 15.4421704385289, 15.2437764157418,          15.2221855529023, 15.3723771683987, 15.5926635355646,          15.6029325535915, 15.0414874321427, 15.0414874321427,          14.9536689261967, 15.719551353229, 15.3987887594526,          14.9752079088984, 15.5121102277751, 14.8739209120931,          15.4653265021947, 14.8395197777251, 14.8395197777251,          15.87024444961, 15.4274201584828), PROX_ELDERLYCARE = c(0.4433955665635,          0.497101135842809, 0.313986883487753, 0.277621781700774,          0.488083454274335, 0.348154483747206, 0.338118814836049,          0.180026828914976, 0.180026828914976, 1.13414610370389e-06,          0.251997184681221, 0.578356799737993, 0.199763345782594,          0.536539272984936, 0.224374856243457, 0.595913887497293,          0.143171284390361, 0.143171284390361, 0.10693627682917,          0.637452860447804), PROX_HAWKER = c(0.342886316384117,          0.380223054122965, 0.306302732963744, 0.252887916114098,          0.473722511855576, 0.438799857473275, 0.432858942767381,          0.135868389364205, 0.135868389364205, 0.283688306330561,          0.543607139892928, 0.294909248784724, 0.202333554334061,          0.396815374523363, 0.490895901627697, 0.380307090885425,          0.426817039061835, 0.426817039061835, 0.694651515851724,          0.365463704587155), PROX_MRT = c(1.37085724211185, 1.36083949137777,          1.43926724244883, 1.3991563615676, 1.53295440749368,          1.20427337027458, 1.13678031777592, 1.27219969611937,          1.27219969611937, 1.45204946878565, 1.04322565796881,          0.921278705332003, 1.27457972333389, 0.8698145169005,          1.67344316225132, 0.848209897671344, 1.58589972239689,          1.58589972239689, 1.09555222562317, 0.843485398790606         ), PROX_PARK = c(0.57859629393417, 0.607675278354181,          0.554495921895103, 0.500874596291267, 0.719474571135727,          0.608584573014238, 0.578149656320062, 0.270313948020077,          0.270313948020077, 0.447466290733612, 0.60075194434184,          0.283836897691409, 0.259935562114549, 0.357009242210065,          0.671840643384197, 0.321827820326955, 0.573834160005083,          0.573834160005083, 0.707790886000148, 0.308677700833154         ), PROX_GOOD_PRISCH = c(6.09187968106835, 6.14472917023144,          5.96162295702861, 5.9271396376627, 6.12183876163327,          6.25532900137267, 6.24898658848638, 5.69200203864946,          5.69200203864946, 5.64958645026222, 6.34176102939636,          5.98797030068414, 5.6171537261999, 6.0946998605156, 5.63420261242257,          6.04109347904609, 5.56483468018996, 5.56483468018996,          6.49806658702102, 6.00000717285666), PROX_MALL = c(0.900250825960545,          0.860369947035052, 1.03199787585398, 1.02106462402642,          1.02404161156211, 0.657431321444681, 0.60644342729779,          0.767711199656331, 0.767711199656331, 0.806257336881612,          0.460595397283409, 0.692287086677849, 0.689421511186311,          0.577683661914992, 0.927972955155417, 0.62067023459119,          0.805396060532061, 0.805396060532061, 0.388975340293238,          0.657665812567692), PROX_CHAS = c(0.147116034863504,          0.200516789487464, 4.60754704120663e-08, 0.0544459444778504,          0.183904955535591, 0.337342861051532, 0.336408570757183,          0.163757574589084, 0.163757574589084, 0.14456617920399,          0.269388612247007, 0.0335692412129841, 0.230775629929228,          0.14804241676277, 0.25243947150411, 0.114224376246159,          0.204546662914522, 0.204546662914522, 0.140210421841136,          0.0964991818226865), PROX_SUPERMARKET = c(0.236697160290918,          0.291068212048821, 0.0947293086454089, 0.0768892314501321,          0.267991425015023, 0.403551045123396, 0.338214025323699,          0.197268674737732, 0.197268674737732, 0.16127040484797,          0.219989756424723, 0.352133387221186, 0.264202614673064,          0.237787830949247, 0.298947211163532, 0.284849629955282,          0.280088374069707, 0.280088374069707, 0.287679129281494,          0.324468805261885), WITHIN_350M_KINDERGARTEN = c(1L,          2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L,          0L, 0L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(4L, 6L,          4L, 5L, 4L, 4L, 4L, 4L, 4L, 7L, 5L, 1L, 4L, 2L, 3L, 1L,          5L, 5L, 4L, 2L), WITHIN_350M_BUS = c(7L, 9L, 8L, 8L,          7L, 6L, 6L, 9L, 9L, 6L, 5L, 6L, 9L, 6L, 6L, 7L, 5L, 5L,          8L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 2L,          4L, 3L, 3L, 3L, 3L, 4L, 3L, 4L, 3L, 4L, 3L, 3L, 4L, 4L         ), DNeighbour = c(0, 53.7972821778967, 142.129349301069,          164.297336769444, 164.528497335124, 245.591075457782,          297.563623571472, 421.266767300168, 423.863403136631,          435.903765959379, 436.846008917261, 464.211232494893,          501.014918721116, 503.747812566544, 523.734971927154,          527.115214766201, 541.66677234667, 544.16849905638, 546.057220910971,          546.73881801232)), row.names = c("895", "586", "578",      "679", "867", "458", "924", "632", "793", "139", "698", "714",      "558", "605", "602", "962", "152", "543", "582", "712"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.980729927715425, 0.869410094904851, 0.827548991289002,      0.827086412185881, 0.637164643874414, 0.495320227653843,      0.165093540192651, 0.159181619138087, 0.132747326338848,      0.130750257548155, 0.0779001039133906, 0.0256853399263171,      0.0228253068908908, 0.0067863045342989, 0.00496967943662074,      0.000341057967356235, 8.79893500131974e-05, 6.20889128737251e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6291286559 
R squared (OOB):                  0.1926564 

$Forests[[896]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 304500, 340000,      3e+05, 338000, 350000, 283000, 320000, 3e+05, 416000, 285000,      288000, 310000, 292000, 258000, 4e+05, 420000, 387008, 310000,      340000), floor_area_sqm = c(84, 104, 103, 84, 93, 91, 84,      104, 84, 98, 84, 84, 84, 84, 84, 92, 92, 97, 91, 91), storey_order = c(2L,      3L, 4L, 2L, 3L, 1L, 4L, 3L, 1L, 4L, 3L, 1L, 3L, 1L, 1L, 2L,      5L, 2L, 3L, 2L), remaining_lease_mths = c(783, 783, 784,      803, 778, 957, 781, 788, 766, 779, 776, 770, 806, 761, 781,      1130, 1143, 775, 774, 782), PROX_CBD = c(16.7380919986833,      16.62872619839, 16.4938482623735, 16.9304098343314, 16.3741208173644,      16.4034806336055, 16.4061281598547, 16.4061281598547, 16.3138748954346,      16.1674221276903, 16.2311391435218, 16.2681803933938, 16.5546706157429,      16.3662877971208, 16.1631400386504, 16.1976566517324, 16.1537572283104,      15.8742411347238, 16.3680873997092, 16.0688727275577), PROX_ELDERLYCARE = c(0.827102139700697,      0.618318415391572, 0.54260343924556, 0.828632612828485, 0.617661573186221,      0.839978570407226, 0.45678545326778, 0.45678545326778, 0.259941730365991,      0.762025473923165, 0.252142982647588, 0.20801878428071, 1.28388145020366,      0.177020457931737, 0.194171564025932, 9.89208662673193e-07,      0.0462823216560119, 0.784609866943175, 1.42545230549203,      1.20623153653763), PROX_HAWKER = c(1.22509286076097, 1.328000513126,      1.26080574998962, 1.5376564224438, 1.08852003222566, 0.889236545198411,      1.27662029927611, 1.27662029927611, 1.19589315813724, 0.872582424517839,      1.12300848995143, 1.14155805943316, 0.634516033073404, 1.20613696965479,      1.03995728027003, 1.03146250928298, 0.986028325459381, 0.921851461637316,      0.369132496020862, 0.426544691499688), PROX_MRT = c(0.950017645146174,      1.00682967627403, 0.884131305433386, 1.07382507713197, 0.70945464840636,      0.660139833101166, 0.840195727203247, 0.840195727203247,      0.896077488488813, 0.447065767326062, 0.830985280221221,      0.896888955057001, 0.786543604226707, 1.07002489239586, 0.842728374229233,      1.02706758196582, 1.02112351286352, 0.243577544220952, 0.767751604782153,      0.406145228037129), PROX_PARK = c(0.234693283811741, 0.402413252549947,      0.418424058290637, 0.542342748872478, 0.371358045807383,      0.251028276822116, 0.499042267647801, 0.499042267647801,      0.695881850270676, 0.490935310554108, 0.723677668737743,      0.750067315759091, 0.413578796610442, 0.840406553837571,      0.707513815343702, 0.822565203699192, 0.793519520304926,      0.457440234531046, 0.655349613079545, 0.697314652170583),          PROX_GOOD_PRISCH = c(7.2060126627476, 7.12509880547394,          6.98980449668537, 7.43262545617428, 6.84990365493624,          6.84769610957781, 6.91087941258894, 6.91087941258894,          6.84997592861041, 6.62018800412964, 6.76533990958697,          6.81173689796023, 6.95112153433386, 6.93507101526025,          6.70927938580052, 6.78043949525415, 6.74044920052795,          6.33578781760894, 6.74866006620563, 6.46919552361138),          PROX_MALL = c(0.804164390636077, 0.615098633053939, 0.506769239398443,          0.876234606673171, 0.523710338103731, 0.630333401213655,          0.408074329267436, 0.408074329267436, 0.242195958154985,          0.402318259451987, 0.175221521556568, 0.188162247463955,          0.809678350084408, 0.298590834338171, 0.0870960802892481,          0.189710317758296, 0.180580587241737, 0.159478773824134,          0.812249060303789, 0.45653839484425), PROX_CHAS = c(0.206110482646065,          0.218296317772089, 0.128042490192306, 0.477517805288537,          0.0863783451683255, 0.142060383584178, 0.178111672550416,          0.178111672550416, 0.218904529587093, 0.277543603442508,          0.170601730776313, 0.160774225575301, 0.102023856475547,          0.209004221202181, 0.081875317774622, 0.0868060808909073,          0.0922372285822684, 0.159478805927642, 0.317481852326526,          0.123235071398074), PROX_SUPERMARKET = c(0.283037745664543,          0.218296734885766, 0.128042463684685, 0.422051752195747,          0.0863776808909183, 0.142061131074292, 0.17811123384324,          0.17811123384324, 0.204979568486045, 0.277543419111335,          0.137275095711229, 0.189660657064324, 0.57240719914765,          0.303085580417471, 0.0873208554119548, 0.195853508350489,          0.186806037215644, 0.159478664733051, 0.442251956603444,          0.399183655269817), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 0L, 0L, 1L, 2L, 0L, 0L, 0L, 1L, 0L, 0L, 2L, 0L, 0L,          0L, 0L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 4L,          4L, 1L, 4L, 3L, 4L, 4L, 4L, 3L, 5L, 6L, 2L, 8L, 6L, 8L,          8L, 5L, 2L, 3L), WITHIN_350M_BUS = c(5L, 6L, 6L, 4L,          4L, 7L, 8L, 8L, 8L, 6L, 10L, 11L, 10L, 5L, 11L, 7L, 7L,          8L, 8L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 3L, 4L,          4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 4L, 5L, 5L, 4L, 6L, 4L,          4L), DNeighbour = c(0, 209.478860185565, 294.613383167652,          317.825589933558, 356.590864908091, 387.142715772358,          390.015605288782, 396.502957501134, 577.790295466208,          581.952892395177, 626.021786232736, 637.966985313663,          646.014898891869, 678.893029326609, 717.718960615932,          824.851789293504, 864.413198741767, 865.820295717927,          884.781715027523, 891.459168058813)), row.names = c("896",      "26", "150", "833", "788", "206", "49", "595", "848", "351",      "945", "798", "22", "687", "872", "427", "869", "83", "198",      "804"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.892613791416608,      0.793489071626921, 0.76193945919688, 0.705589148411008, 0.658371662189858,      0.653820329833003, 0.643478316983421, 0.336300958020133,      0.329292270398218, 0.256900438127432, 0.238001855963244,      0.225483915555314, 0.176431642556071, 0.123766494601632,      0.0206933504696693, 0.00357096149438294, 0.00321420582874674,      0.000222750960013016, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1788207679 
R squared (OOB):                  0.1593563 

$Forests[[897]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(680000, 638000, 545000,      680000, 445000, 650000, 838000, 515000, 760000, 480000, 630000,      815000, 315000, 446000, 450000, 582000, 310000, 330000, 470000,      550000), floor_area_sqm = c(76, 105, 86, 86, 84, 86, 91,      110, 91, 94, 101, 91, 87, 94, 104, 104, 82, 82, 84, 105),          storey_order = c(11L, 3L, 1L, 3L, 3L, 3L, 12L, 1L, 9L,          6L, 2L, 11L, 1L, 2L, 1L, 3L, 5L, 4L, 3L, 2L), remaining_lease_mths = c(1071,          918, 1025, 1025, 647, 1018, 1106, 859, 1091, 725, 952,          1109, 633, 723, 828, 935, 656, 657, 813, 786), PROX_CBD = c(5.17664618337401,          5.24252163748666, 5.19905620756448, 5.19905620756448,          4.82546817648507, 5.26278746968545, 5.38577040159704,          5.31333197008925, 5.4124717534787, 4.50933618399607,          5.76616775136128, 5.46273996086224, 5.88382015009973,          4.45295385586978, 5.12061996426338, 5.4901102241405,          5.9699685911294, 6.06674643703895, 6.30150758144434,          6.4090346428634), PROX_ELDERLYCARE = c(0.203403853153192,          0.232760622048558, 0.3148233892717, 0.3148233892717,          0.401252043911139, 0.310343810032976, 0.343873602324804,          0.301885421229742, 0.277453528347438, 0.665866395733666,          0.708186986363007, 0.323825203617813, 0.599695566252105,          0.645271528549996, 0.279354008399566, 0.157919913507301,          4.28110190953706e-07, 0.10409496222889, 0.0580157957368266,          0.336883008423279), PROX_HAWKER = c(0.242990200436355,          0.316098981667774, 0.424686940189847, 0.424686940189847,          0.33634581375869, 0.356302899600742, 0.225377370173431,          0.15027253820603, 0.214745652304629, 0.665007751295857,          0.25612232537118, 0.17988889362956, 0.302293625820731,          0.601904675681234, 0.158729667464322, 0.258924665495,          0.247906315943116, 0.346985863757343, 0.511576723994062,          0.729024203622067), PROX_MRT = c(0.347215067697513, 0.353807427048722,          0.253583166891469, 0.253583166891469, 0.437510974512092,          0.321982757522174, 0.452916639575337, 0.839256513816073,          0.525678460826462, 0.549595780709265, 0.0934691468297738,          0.495510769155532, 0.37771060533367, 0.66128766903618,          1.12797954219589, 1.30755754576723, 1.03854772657135,          1.1005845300218, 0.911216039334219, 0.631935879685516         ), PROX_PARK = c(0.502895249788983, 0.540897442657821,          0.482110245392283, 0.482110245392283, 0.386749503328341,          0.550000337404237, 0.680409922157526, 0.919693677764514,          0.766524211973089, 0.353281501558379, 1.02675087524374,          0.816564732509704, 1.09766236241216, 0.473457593144303,          1.12857946410316, 0.803347187860442, 0.792968228054446,          0.741200181243785, 0.950460734805334, 0.73120409495038         ), PROX_GOOD_PRISCH = c(2.27859573799937, 2.20280244575696,          2.22494939608982, 2.22494939608982, 2.65585299610189,          2.16237499594262, 2.04281306492033, 2.32631552336422,          2.04167837943161, 2.94429219434277, 1.65694818911091,          1.99475835919692, 1.61186682958131, 3.02211493728223,          2.70116277997296, 2.45379201830723, 1.89588922913119,          1.85819018299306, 1.50990256016426, 1.19038460547274),          PROX_MALL = c(0.285366785950761, 0.315823950773482, 0.31885342913617,          0.31885342913617, 0.337875853585261, 0.38523327442887,          0.513452616263142, 0.752077094160308, 0.636573036587929,          0.485349818185599, 0.834887080030876, 0.68208602871978,          0.966526596905427, 0.570379319619026, 1.02774547618649,          1.21674302842157, 1.25835483053691, 1.22044581333525,          0.872189526609738, 0.56447134405004), PROX_CHAS = c(0.0737889624358689,          0.0731998871787336, 0.211748617283041, 0.211748617283041,          0.315432137833306, 0.188692357663819, 0.180097972613039,          0.111194343620761, 0.208534953207918, 0.331046161101227,          0.143086854941205, 0.185272865297861, 0.256579842259861,          0.303272176186244, 0.193072984237221, 0.233242749827373,          0.21461630683628, 0.252393584019624, 0.0940735950578242,          0.141339892509329), PROX_SUPERMARKET = c(0.177322353300672,          0.266280670019211, 0.199301193911681, 0.199301193911681,          0.0907256678718214, 0.267150206458008, 0.397689630461078,          0.370675298005651, 0.496000676868079, 0.325943517329761,          0.318319510093507, 0.544212695479659, 0.27867057765081,          0.34627255092781, 0.198191070641627, 0.37596142908425,          0.227231659318009, 0.321431524942613, 0.469210677159174,          0.360911693423373), WITHIN_350M_KINDERGARTEN = c(1L,          3L, 4L, 4L, 0L, 4L, 4L, 1L, 1L, 0L, 2L, 1L, 1L, 0L, 1L,          0L, 0L, 0L, 2L, 0L), WITHIN_350M_CHILDCARE = c(7L, 5L,          6L, 6L, 2L, 5L, 7L, 3L, 4L, 1L, 1L, 4L, 4L, 1L, 4L, 3L,          2L, 2L, 4L, 5L), WITHIN_350M_BUS = c(9L, 10L, 9L, 9L,          8L, 9L, 8L, 12L, 7L, 5L, 8L, 8L, 8L, 6L, 9L, 10L, 8L,          6L, 7L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 3L, 3L, 2L,          3L, 3L, 3L, 3L, 0L, 4L, 3L, 4L, 1L, 3L, 3L, 4L, 5L, 4L,          3L), DNeighbour = c(0, 80.5845474471894, 369.279844804527,          370.693734509843, 387.352349462672, 406.709130820347,          493.197324574168, 515.938354414586, 657.826081069278,          671.317805945028, 685.248048309503, 695.436516164843,          704.091651518727, 750.85229623233, 870.510802260679,          990.266952122181, 1043.70239843308, 1148.82145083753,          1226.93900115129, 1239.25839836359)), row.names = c("897",      "472", "533", "181", "288", "199", "116", "279", "436", "622",      "430", "75", "201", "346", "646", "307", "920", "628", "417",      "269"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.991561006906575,      0.830294940976705, 0.829053883721295, 0.814147691794667,      0.796186720735487, 0.708313577681467, 0.68338450980401, 0.51585090069206,      0.499214356094907, 0.48197777670203, 0.469343550550108, 0.458598710323044,      0.400561446553301, 0.256614273097553, 0.130661067495857,      0.0845068113569736, 0.0197761613041724, 0.00039136961454346,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11690043382 
R squared (OOB):                  0.5182197 

$Forests[[898]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 340888, 417000,      335000, 392000, 388000, 343000, 333000, 363000, 375000, 3e+05,      335000, 320000, 385000, 415000, 335000, 325000, 355000, 315000,      330000), floor_area_sqm = c(104, 107, 92, 114, 113, 104,      107, 108, 104, 108, 106, 105, 91, 104, 104, 90, 90, 106,      90, 91), storey_order = c(4L, 4L, 2L, 3L, 2L, 6L, 2L, 4L,      5L, 2L, 2L, 2L, 8L, 1L, 2L, 3L, 5L, 1L, 5L, 1L), remaining_lease_mths = c(882,      883, 1120, 904, 933, 904, 907, 895, 918, 909, 941, 938, 995,      863, 875, 979, 992, 825, 1001, 987), PROX_CBD = c(16.7669966667855,      16.7669966667855, 16.7161737209409, 16.3642048862006, 16.6579104452557,      16.3777502460772, 17.2160129653012, 16.5397910410307, 16.295166477654,      16.9875722318911, 17.3741762112269, 17.3741762112269, 16.7093180086981,      16.2492480828887, 15.8781143296649, 17.0600275230943, 17.2610384590751,      15.6983328737326, 16.8082045368238, 17.2817356498826), PROX_ELDERLYCARE = c(0.121542639162494,      0.121542639162494, 9.26628957858198e-07, 0.361422596457277,      0.409372351007212, 0.465083314136851, 0.574386357445605,      0.706939892416911, 0.514795208711411, 0.636322412867891,      0.815153211361198, 0.815153211361198, 0.935779967581661,      0.836071823435323, 0.633288957745621, 1.09431476347566, 1.12094638660826,      0.587171684565488, 1.15380285023885, 1.19353475005496), PROX_HAWKER = c(2.05474291859885,      2.05474291859885, 1.96687058888139, 1.67761333691466, 1.80129318596364,      1.54627052523026, 2.37357884684332, 2.14655926815246, 1.47281657351752,      2.10596394293278, 2.50067722531469, 2.50067722531469, 1.82495077083007,      2.17952287051713, 1.79301822351461, 2.18272534115171, 2.37726799660773,      1.64071314431986, 1.94950915107796, 2.40388099430384), PROX_MRT = c(0.53300655679357,      0.53300655679357, 0.427108887982576, 0.653367521351592, 0.128609360773056,      0.419412974707088, 0.453815632281196, 0.460645764817668,      0.504795745143921, 0.252669932820992, 0.590831178240684,      0.590831178240684, 0.522077155701705, 0.290093838525113,      0.159697283923578, 0.673816738147829, 0.729621307242001,      0.341199960643831, 0.730447684580082, 0.797812759521718),          PROX_PARK = c(0.722711239268322, 0.722711239268322, 0.688779163701323,          0.32735774848914, 0.826869373992433, 0.571339732684777,          1.24959985284921, 0.711243459523284, 0.48638578612152,          1.18807543108152, 1.47164498360674, 1.47164498360674,          1.17885821480356, 0.886796559947336, 0.678969217742802,          1.5130077643247, 1.64853798443183, 0.686441032296595,          1.39545287332227, 1.70244245234235), PROX_GOOD_PRISCH = c(7.13952904562396,          7.13952904562396, 7.12110535783693, 6.76031366250815,          7.18541951227303, 6.89348817522951, 7.68034428555912,          6.77397603493671, 6.80828229467371, 7.55033959010056,          7.888904100652, 7.888904100652, 7.40748446052123, 6.4097782056775,          6.09357654169244, 7.76907239486735, 7.93716312588154,          5.93514971647738, 7.5739079893598, 7.98012169831377),          PROX_MALL = c(0.27529824968273, 0.27529824968273, 0.337595745740984,          0.388175183991252, 0.168053149288668, 0.427317836890542,          0.413606644895247, 0.345326846187852, 0.510483215269896,          0.165557901737932, 0.521008948961951, 0.521008948961951,          0.484270435079706, 0.355568776497803, 0.145699923430919,          0.597930181439745, 0.644198936007264, 0.310729806849059,          0.677813655888015, 0.713200150273906), PROX_CHAS = c(0.222759343861358,          0.222759343861358, 0.279591917356114, 0.380772978950647,          0.170995488718356, 0.429996386722335, 0.303266380929536,          0.286223989121013, 0.513107963149175, 0.194474796894964,          0.524369302913132, 0.524369302913132, 0.52365796939069,          0.121251060497272, 0.0723222156351423, 0.638199243310692,          0.678651577140463, 0.261893114523038, 0.71936188995133,          0.748586514709626), PROX_SUPERMARKET = c(0.243987988302975,          0.243987988302975, 0.344537051235884, 0.422789252098693,          0.103652200866821, 0.386156989530241, 0.387759857324111,          0.377165028023417, 0.471223408024363, 0.284398337107734,          0.559408220033625, 0.559408220033625, 0.555366708418936,          0.350013224352412, 0.157892159590583, 0.718466194952364,          0.771245719522698, 0.322774913149109, 0.768274584157999,          0.842475689687135), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L,          1L, 0L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L,          6L, 4L, 5L, 3L, 5L, 1L, 3L, 4L, 4L, 4L, 1L, 4L, 3L, 2L,          3L, 4L, 1L, 3L), WITHIN_350M_BUS = c(11L, 11L, 12L, 6L,          9L, 8L, 5L, 2L, 7L, 11L, 2L, 2L, 8L, 9L, 7L, 7L, 5L,          8L, 9L, 5L), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 3L, 4L,          4L, 4L, 3L, 3L, 4L, 4L, 4L, 3L, 3L, 3L, 2L, 2L, 3L, 2L,          2L), DNeighbour = c(0, 3.82411095314203, 126.004009040489,          405.048560019051, 529.751917676441, 578.701255710808,          598.048666304293, 613.241694207635, 627.372271123622,          727.799031182443, 851.933951922838, 854.654199878247,          1054.28488913279, 1060.79743962984, 1144.83681039236,          1194.08206374996, 1205.12974058892, 1253.77714724227,          1263.05096141225, 1276.65016521067)), row.names = c("898",      "673", "261", "252", "918", "820", "326", "498", "451", "125",      "813", "822", "156", "711", "510", "208", "525", "196", "121",      "127"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999982054928022,      0.980611937694266, 0.808806829325782, 0.685273769533748,      0.63126542801345, 0.609263307039927, 0.591763686122672, 0.575330944837932,      0.455629269602609, 0.307674633461661, 0.304522876320789,      0.101136207329234, 0.0958321474406991, 0.0383526589812585,      0.0156670898825453, 0.0118603928178134, 0.00126109281775333,      0.000449060199049592, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       584448611 
R squared (OOB):                  0.4602961 

$Forests[[899]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(410000, 405000, 430000,      430000, 420000, 405000, 415000, 395000, 450000, 448000, 380000,      380000, 360000, 393000, 455000, 367000, 362500, 390000, 412000,      425000), floor_area_sqm = c(106, 104, 104, 107, 112, 105,      103, 106, 106, 116, 106, 107, 84, 103, 113, 104, 103, 109,      104, 104), storey_order = c(2L, 2L, 2L, 4L, 4L, 3L, 3L, 2L,      4L, 3L, 1L, 2L, 3L, 2L, 5L, 1L, 3L, 1L, 2L, 3L), remaining_lease_mths = c(871,      862, 861, 868, 866, 856, 834, 834, 834, 827, 887, 871, 811,      818, 824, 879, 819, 889, 878, 871), PROX_CBD = c(15.428944563277,      15.4019609662575, 15.4019609662575, 15.2985874116244, 15.3605597168545,      15.3605597168545, 15.1256206124729, 15.1256206124729, 15.1256206124729,      15.1039483662242, 15.0291078847704, 15.2330821453909, 14.7472020389823,      14.8805910833212, 14.8805910833212, 14.66420827852, 14.3801998083441,      14.7712425946156, 14.1313829663274, 14.0236082538335), PROX_ELDERLYCARE = c(1.63977306379889,      1.7026350967472, 1.7026350967472, 1.41400995500373, 1.7630974884403,      1.7630974884403, 1.5866097118695, 1.5866097118695, 1.5866097118695,      1.55233595008815, 1.09928331705025, 1.22808745848404, 1.19052284520552,      1.53481387371296, 1.53481387371296, 0.719957479461771, 0.709377020411434,      0.729534612359916, 0.836104821253693, 1.09340394122649),          PROX_HAWKER = c(1.09717995764468, 0.985391408166863,          0.985391408166863, 1.16406043263713, 0.874437271649647,          0.874437271649647, 0.674198133913936, 0.674198133913936,          0.674198133913936, 0.672854909342646, 1.15922930524208,          1.40985252978436, 0.606039227085063, 0.395563323563994,          0.395563323563994, 1.17971772396452, 0.928921275219278,          1.70286767909083, 0.73352935155883, 0.594999289424802         ), PROX_MRT = c(1.35104476777798, 1.24252861976923, 1.24252861976923,          1.40304810962874, 1.13238128237287, 1.13238128237287,          0.930587839854138, 0.930587839854138, 0.930587839854138,          0.927742831261867, 1.36685465541241, 1.62235809597188,          0.807097621625513, 0.650195396152393, 0.650195396152393,          1.12495588646837, 1.02650412956774, 1.0665313702167,          0.735653331318593, 0.469886084443941), PROX_PARK = c(1.02148060415503,          0.934356673366442, 0.934356673366442, 0.98341166564854,          0.852232892319188, 0.852232892319188, 0.625625874274951,          0.625625874274951, 0.625625874274951, 0.613453702116727,          0.808345234949979, 0.633472210001671, 0.432698189125414,          0.355836862982211, 0.355836862982211, 0.823954351824118,          0.71485218383349, 0.405128535389849, 0.463826523913091,          0.504422356794811), PROX_GOOD_PRISCH = c(3.79601078940401,          3.78947597459801, 3.78947597459801, 3.64472604970499,          3.77322944876988, 3.77322944876988, 3.54140201350838,          3.54140201350838, 3.54140201350838, 3.51513652285447,          3.36640767040689, 3.56691345353299, 3.13467644284063,          3.33079371618761, 3.33079371618761, 2.99834463762659,          2.72778429145315, 3.13265552080448, 2.52734391167264,          2.51794344218072), PROX_MALL = c(0.809004632748584, 0.656741946143406,          0.656741946143406, 0.597111778941966, 0.502295694435402,          0.502295694435402, 0.445444903624544, 0.445444903624544,          0.445444903624544, 0.472438990852491, 0.486526360127578,          0.253259472709144, 0.738705771798207, 0.390496575840073,          0.390496575840073, 0.669111824361406, 0.949257633150117,          0.541352629222412, 0.66282583229379, 0.418819234777705         ), PROX_CHAS = c(0.352996738297868, 0.478794864158343,          0.478794864158343, 0.0911939042613644, 0.563239471741591,          0.563239471741591, 0.387886097439527, 0.387886097439527,          0.387886097439527, 0.353464796953762, 0.228652490110126,          0.210576528602503, 0.19051372613691, 0.448788349522024,          0.448788349522024, 0.38494516455544, 0.453083161817035,          0.220588325506638, 0.528800676490504, 0.151261605672147         ), PROX_SUPERMARKET = c(0.252078878715955, 0.1489144838969,          0.1489144838969, 0.408284988301129, 0.187279197917694,          0.187279197917694, 0.411626017932148, 0.411626017932148,          0.411626017932148, 0.429218479578941, 0.234691730121176,          0.21397076195142, 0.326764101800336, 0.447693008221967,          0.447693008221967, 0.384052647553184, 0.513065398645433,          0.49532093691776, 0.528799775767506, 0.151260689076964         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 2L, 0L, 0L,          2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 3L, 1L, 3L, 3L,          2L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L         ), WITHIN_350M_BUS = c(11L, 9L, 9L, 13L, 10L, 10L, 6L,          6L, 6L, 7L, 8L, 12L, 9L, 5L, 5L, 7L, 2L, 8L, 6L, 12L),          WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L, 1L, 2L, 2L), DNeighbour = c(0,          156.167724902807, 158.300843215531, 264.212147675265,          313.624924628938, 314.319325715087, 423.818295244898,          425.615264720993, 428.567325040102, 428.711410989582,          565.993745596168, 608.120318217476, 692.645413990099,          700.255825265828, 706.442983480653, 921.108850402762,          1079.24034528345, 1234.93903493449, 1301.54593612285,          1487.5935768849)), row.names = c("899", "406", "495",      "934", "782", "994", "233", "483", "457", "188", "314", "428",      "136", "639", "852", "686", "3", "527", "695", "51"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.978079815030468, 0.977480335745702, 0.937904180733525,      0.913079560774876, 0.912703028319033, 0.84425019498754, 0.842983114905346,      0.84089200332403, 0.840789635850652, 0.731431979251128, 0.693700624344552,      0.613406885265988, 0.605926326842113, 0.599818803778049,      0.380194239560796, 0.224352212032433, 0.0966191523699158,      0.0549859373461893, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       694033542 
R squared (OOB):                  0.1417429 

$Forests[[900]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 450000, 438000,      450000, 431000, 432000, 420000, 425000, 445000, 425000, 395000,      456500, 420000, 440000, 436000, 435000, 358000, 418000, 460000,      420000), floor_area_sqm = c(92, 93, 94, 94, 92, 92, 94, 94,      94, 94, 94, 92, 92, 92, 92, 92, 93, 92, 92, 92), storey_order = c(6L,      9L, 5L, 7L, 7L, 6L, 7L, 6L, 6L, 5L, 4L, 8L, 5L, 8L, 7L, 2L,      1L, 6L, 7L, 6L), remaining_lease_mths = c(1126, 1136, 1076,      1119, 1138, 1137, 1120, 1119, 1109, 1083, 1113, 1144, 1132,      1142, 1139, 1128, 1103, 1129, 1125, 1142), PROX_CBD = c(12.0797672032522,      12.1741021183779, 11.9414743986494, 12.0119641769274, 11.9317097346946,      11.9317097346946, 12.0119641769274, 11.9828723130509, 12.1122271384014,      11.8751655684431, 11.9744040829633, 11.9527102757424, 12.042332185553,      12.042332185553, 12.042332185553, 12.042332185553, 11.8075546541859,      12.02897658153, 12.02897658153, 12.02897658153), PROX_ELDERLYCARE = c(0.550577233037288,      0.519600844901231, 0.687500817542951, 0.673044116243487,      0.680106913101551, 0.680106913101551, 0.673044116243487,      0.710325725805382, 0.629785153682861, 0.727329111385366,      0.738781707341689, 0.819362766143575, 0.786890441142101,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.922118515238085, 0.841755023464642, 0.841755023464642,      0.841755023464642), PROX_HAWKER = c(0.286867197183981, 0.375471053349032,      0.147098227142532, 0.222580914455278, 0.161367564791002,      0.161367564791002, 0.222580914455278, 0.20448046373977, 0.337796349528525,      0.145379780608352, 0.217370340361849, 0.27814297307049, 0.369655971945997,      0.369655971945997, 0.369655971945997, 0.369655971945997,      0.209140712961875, 0.409616357379742, 0.409616357379742,      0.409616357379742), PROX_MRT = c(0.285059794417971, 0.338849049026276,      0.183575431830776, 0.201095784108649, 0.214149342621172,      0.214149342621172, 0.201095784108649, 0.170867756883987,      0.302747284955937, 0.191731142133254, 0.167322140356011,      0.200702114351669, 0.298263347673859, 0.298263347673859,      0.298263347673859, 0.298263347673859, 0.120215557602138,      0.331072457322778, 0.331072457322778, 0.331072457322778),          PROX_PARK = c(0.747342190235743, 0.612679613149166, 0.807374064658721,          0.691047645736797, 0.785212145526225, 0.785212145526225,          0.691047645736797, 0.697136724289492, 0.576425078157325,          0.723512884628395, 0.679906922269617, 0.643017670933737,          0.542226246468638, 0.542226246468638, 0.542226246468638,          0.542226246468638, 0.747098338531098, 0.529446955515876,          0.529446955515876, 0.529446955515876), PROX_GOOD_PRISCH = c(2.35145083667271,          2.45580221931744, 2.21615815400514, 2.29976812492723,          2.20126444296921, 2.20126444296921, 2.29976812492723,          2.27447890050516, 2.408030235171, 2.14229157607785, 2.27223739349538,          2.270018309959, 2.36724315061599, 2.36724315061599, 2.36724315061599,          2.36724315061599, 2.12338877581429, 2.36775586018775,          2.36775586018775, 2.36775586018775), PROX_MALL = c(0.356578632219481,          0.416829357908565, 0.22663965361209, 0.251262654177611,          0.255684281538694, 0.255684281538694, 0.251262654177611,          0.220402811054307, 0.350899017798137, 0.249449426365425,          0.214069216816763, 0.232344363503357, 0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.119447773727589, 0.358721564938295, 0.358721564938295,          0.358721564938295), PROX_CHAS = c(0.146949814741425,          0.0461624602204791, 0.156140837156126, 0.131248018016709,          0.203726500797623, 0.203726500797623, 0.131248018016709,          0.0995919009989899, 0.0703863092474096, 0.179410689617013,          0.0939357367291076, 0.146038815472653, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.236223262451169,          0.11944771257822, 0.25157977989641, 0.25157977989641,          0.25157977989641), PROX_SUPERMARKET = c(0.315486318912089,          0.427183407476201, 0.236998053946951, 0.261515416493987,          0.217804588957955, 0.217804588957955, 0.261515416493987,          0.230351837454113, 0.360308355053667, 0.179159947933279,          0.22318738818849, 0.237998550380205, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.33849828517841,          0.119571834445138, 0.314501000490003, 0.314501000490003,          0.314501000490003), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 7L,          6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 5L, 4L, 4L, 4L, 4L,          4L, 4L, 4L, 4L), WITHIN_350M_BUS = c(9L, 5L, 8L, 6L,          8L, 8L, 6L, 7L, 7L, 6L, 10L, 12L, 10L, 10L, 10L, 10L,          10L, 11L, 11L, 11L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L), DNeighbour = c(0, 136.030377748854, 141.87039103113,          145.192181525279, 146.549192157982, 152.293149960573,          152.326563535254, 184.883231634632, 192.354568090843,          213.39104918483, 218.851160285525, 320.141934781379,          345.387301089631, 346.177377903766, 346.312273674904,          347.914719659334, 378.953994632505, 406.300763765889,          406.739154202944, 410.601645265725)), row.names = c("900",      "621", "781", "947", "613", "392", "167", "203", "607", "250",      "858", "749", "634", "16", "573", "908", "724", "700", "874",      "318"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.792533404608179,      0.775486459063061, 0.765556953563875, 0.761453254742421,      0.743787891869965, 0.743683761137889, 0.635612911613577,      0.609236172721564, 0.532766318345873, 0.512526763139103,      0.153729658720193, 0.0855134469058719, 0.0836285192197676,      0.083308363547732, 0.0795428433345526, 0.0219667440889007,      0.00043428273699342, 0.000350637685284703, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       415099141 
R squared (OOB):                  0.1909426 

$Forests[[901]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(340000, 320000, 325000,      336000, 335000, 338000, 303888, 355000, 315000, 293000, 348000,      416000, 370000, 380000, 362000, 380000, 360000, 340000, 370000,      380000), floor_area_sqm = c(90, 91, 90, 90, 90, 94, 90, 94,      87, 86, 95, 93, 93, 93, 94, 93, 93, 102, 93, 93), storey_order = c(4L,      1L, 4L, 2L, 5L, 2L, 5L, 4L, 5L, 1L, 1L, 6L, 1L, 2L, 4L, 2L,      2L, 2L, 4L, 2L), remaining_lease_mths = c(1011, 980, 973,      966, 998, 1076, 1008, 1070, 1004, 1006, 968, 1132, 1125,      1132, 976, 1136, 1135, 968, 1142, 1134), PROX_CBD = c(18.5954829873069,      18.4122801485573, 18.5353901232527, 18.263890012402, 18.976831626196,      18.893500205596, 19.0279685600245, 18.9417612550563, 18.9558501171738,      18.9558501171738, 18.0323194354466, 18.2305685201872, 18.2305685201872,      18.1279148711176, 18.3273029006797, 18.1376577985599, 18.1376577985599,      18.6342583478867, 18.1918996486136, 18.2143914696608), PROX_ELDERLYCARE = c(3.21245115339435,      3.05606256580079, 3.18651864771223, 2.93603771613334, 3.28231449363414,      3.10102691254995, 3.26154359027314, 3.09832013994742, 3.04148171914245,      3.04148171914245, 2.88259030935981, 2.5602844754638, 2.5602844754638,      2.51087611030153, 2.7120525382807, 2.49441526227585, 2.49441526227585,      2.72992435028626, 2.49884668013329, 2.48612553786713), PROX_HAWKER = c(0.468862715548992,      0.284310921582288, 0.491879726860981, 0.135415800319106,      0.923592674397851, 0.926259022488312, 0.990561993667382,      0.981837341088666, 1.03425383708264, 1.03425383708264, 0.459055170630849,      0.555435817196439, 0.555435817196439, 0.487567663506197,      0.729165861663657, 0.528296501129656, 0.528296501129656,      0.947673142820091, 0.600683099416637, 0.65924673205969),          PROX_MRT = c(0.485913485771313, 0.34633408104891, 0.375479822529604,          0.269488316579814, 0.822784932057268, 0.777214903782309,          0.880588410111357, 0.831940647091921, 0.87145727172961,          0.87145727172961, 0.228324090957444, 0.810957189319413,          0.810957189319413, 0.74928998522808, 0.470919202147399,          0.789676869843372, 0.789676869843372, 0.717283111076423,          0.859544339931905, 0.88189566435518), PROX_PARK = c(0.966363588730214,          0.872887750975024, 1.15334089580929, 0.826451671225411,          1.4431849310919, 1.53153013283021, 1.5140651316136, 1.58031197441792,          1.64892029001525, 1.64892029001525, 1.25712692932115,          0.269300347674678, 0.269300347674678, 0.317511189836545,          1.51959638840156, 0.276326305891841, 0.276326305891841,          1.68545701841371, 0.210024151789668, 0.161329073171627         ), PROX_GOOD_PRISCH = c(8.94334048589707, 8.76068312560123,          8.87993213136606, 8.61262144573917, 9.32093903042593,          9.23793284137011, 9.37202430611723, 9.2863930262578,          9.30119351841798, 9.30119351841798, 8.37645219680457,          8.60245346442475, 8.60245346442475, 8.49670627721454,          8.6741083827629, 8.50873818737911, 8.50873818737911,          8.98296462693421, 8.56698720173726, 8.59299650088468),          PROX_MALL = c(0.594166870248601, 0.458641270318743, 0.460655941356388,          0.374925429890344, 0.897736377807805, 0.833273819621717,          0.951179576311185, 0.886414086630636, 0.918650450187965,          0.918650450187965, 0.12060760008054, 0.89702383385846,          0.89702383385846, 0.819155488013484, 0.437943127987326,          0.814982856398022, 0.814982856398022, 0.719594778264249,          0.849415447505653, 0.861156548991099), PROX_CHAS = c(0.186588167457245,          0.182706372800723, 0.165734202429707, 0.0541347282504724,          0.237819060284531, 0.143741090403558, 0.184556275618948,          0.0880613138842689, 0.067384164825537, 0.067384164825537,          0.120607657412939, 0.080524556228062, 0.080524556228062,          0.0462043949149095, 0.319053536773146, 0.0547102897319272,          0.0547102897319272, 0.294409401108374, 0.110754204684376,          0.170239874320939), PROX_SUPERMARKET = c(0.195869762300225,          0.182706945219403, 0.167679568764744, 0.0541355525390397,          0.322795161753339, 0.218188374485768, 0.3125742651816,          0.175726554209016, 0.102761308178796, 0.102761308178796,          0.119017844673248, 0.512175097136782, 0.512175097136782,          0.467157902200199, 0.198027823348086, 0.504768063926141,          0.504768063926141, 0.247755307750907, 0.565642852259794,          0.532940464268134), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 0L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 7L,          7L, 5L, 4L, 4L, 2L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 6L, 2L,          2L, 4L, 2L, 3L), WITHIN_350M_BUS = c(10L, 12L, 12L, 11L,          9L, 8L, 6L, 8L, 8L, 8L, 14L, 7L, 7L, 10L, 12L, 10L, 10L,          5L, 6L, 6L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 4L, 4L,          4L, 4L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 5L, 2L, 2L, 4L, 2L,          2L), DNeighbour = c(0, 180.389103930139, 244.286289725674,          326.081967475438, 507.220993984421, 568.679362958895,          578.70395348903, 616.79497461655, 681.709614529374, 681.981129091127,          692.929445586137, 697.64117273107, 703.185655735385,          708.2478253838, 713.199843852878, 733.329356606346, 744.249431262292,          760.949426451432, 762.304929702632, 802.768619935487)), row.names = c("901",      "722", "838", "548", "915", "745", "570", "932", "52", "951",      "354", "401", "770", "461", "873", "285", "378", "7", "600",      "790"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.90156163267551,      0.82337227390543, 0.69723207693809, 0.360935088651028, 0.248176180160911,      0.230711762414281, 0.167822800240204, 0.0777643096711699,      0.077444198542239, 0.0649891463817531, 0.059908778756473,      0.0541541969226441, 0.0491169690164895, 0.0443947958045753,      0.0273959580891429, 0.0197344853236454, 0.010296903710938,      0.00965692653352185, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       496739795 
R squared (OOB):                  0.4436583 

$Forests[[902]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(323000, 280000, 310000,      319000, 310500, 368000, 305000, 323000, 320000, 375000, 305000,      335000, 328000, 435000, 360000, 333000, 420000, 432000, 410000,      415000), floor_area_sqm = c(91, 90, 89, 101, 92, 106, 91,      101, 101, 102, 99, 100, 92, 92, 99, 99, 92, 92, 92, 92),          storey_order = c(2L, 3L, 1L, 4L, 4L, 3L, 4L, 1L, 2L,          3L, 4L, 4L, 3L, 4L, 3L, 3L, 1L, 4L, 2L, 2L), remaining_lease_mths = c(974,          958, 946, 950, 932, 952, 932, 937, 931, 932, 930, 927,          923, 1118, 915, 927, 1121, 1123, 1136, 1125), PROX_CBD = c(16.9744532057656,          17.0860498579873, 17.0860498579873, 17.1356331652512,          17.1621565450396, 17.1751323002447, 17.1300558853523,          17.4093430047218, 17.1235753252943, 17.424297644009,          17.5508688704121, 17.5934100264964, 17.049182232397,          17.3261487576713, 17.6482187406162, 17.6933534103443,          17.7152334804069, 17.7152334804069, 17.7152334804069,          17.7609329148819), PROX_ELDERLYCARE = c(0.669866762803474,          0.634635376150565, 0.634635376150565, 0.585213362825854,          0.588822776266157, 0.268202380119324, 0.650159488421832,          0.347622879353981, 0.697818713768909, 0.332680427012888,          0.169110695114153, 0.183364759720919, 0.850080656271298,          0.0820501598186151, 0.399377154365588, 0.174626049595048,          0.0982899037000713, 0.0982899037000713, 0.0982899037000713,          0.0656405943898966), PROX_HAWKER = c(1.16076193719705,          0.984075399620173, 0.984075399620173, 0.905166107754752,          0.776103543372746, 1.37649043343687, 0.747949107581356,          0.646263997619536, 0.705945006380572, 1.2762396177499,          0.736171211400498, 0.860123145519879, 0.714958983882519,          1.11394087375576, 1.11261554439583, 0.89059259132002,          0.815736811633103, 0.815736811633103, 0.815736811633103,          0.769612072642938), PROX_MRT = c(0.434229027914827, 0.610921595420819,          0.610921595420819, 0.689848925621533, 0.827901946736494,          0.477350523334022, 0.826263947198081, 0.722831181419355,          0.782769723074986, 0.484502150769697, 0.804998329325227,          0.675234243169572, 0.785333186388227, 0.527347528775627,          0.417091391951799, 0.606842528225389, 0.674833365376197,          0.674833365376197, 0.674833365376197, 0.714624513867521         ), PROX_PARK = c(1.94357933186421, 1.98249707589613,          1.98249707589613, 2.00545012030434, 2.12305734030611,          1.53652128691969, 2.21165427538899, 1.92330050908574,          2.27471658155514, 1.39102562335911, 1.71737354643835,          1.60355051242194, 2.39009267562017, 1.2769930066147,          1.38656874841243, 1.49905344652453, 1.52614967260321,          1.52614967260321, 1.52614967260321, 1.52091098886828),          PROX_GOOD_PRISCH = c(7.64555391975429, 7.72567604662297,          7.72567604662297, 7.76178719780886, 7.75790588282746,          7.92485948387043, 7.71077701272798, 8.00696366683488,          7.68854504458572, 8.1609833985331, 8.17476856172454,          8.24279341902993, 7.5878538843241, 8.12402124316527,          8.34983568407236, 8.34857469941546, 8.35538963357137,          8.35538963357137, 8.35538963357137, 8.39120163011403),          PROX_MALL = c(0.199292924769147, 0.314944256820634, 0.314944256820634,          0.382407895591973, 0.509108711773916, 0.221509518429623,          0.568151229694078, 0.265229996889848, 0.614584601713128,          0.394560370801339, 0.109574351562212, 0.188384425612312,          0.718658142186859, 0.48073822857487, 0.439097430243665,          0.223321337745784, 0.158599011552442, 0.158599011552442,          0.158599011552442, 0.147411017927622), PROX_CHAS = c(0.199292963025488,          0.250499161266826, 0.250499161266826, 0.257714074421561,          0.242301342816858, 0.166686655025282, 0.159798231789153,          0.23105278557526, 0.076148424020495, 0.265229996652697,          0.048268048492383, 0.151781240761386, 0.13498084818294,          0.111581872390774, 0.414359256629807, 0.21485891447712,          0.158598978424062, 0.158598978424062, 0.158598978424062,          0.14741100268466), PROX_SUPERMARKET = c(0.25551504160041,          0.250499698074938, 0.250499698074938, 0.257714572429151,          0.263452146302603, 0.166252253534119, 0.260386915772359,          0.313773352526138, 0.307215454393191, 0.265230176390619,          0.15801430638391, 0.209139790637019, 0.397684558683682,          0.111582815761828, 0.441697647833666, 0.218378438252518,          0.144345834884574, 0.144345834884574, 0.144345834884574,          0.113022549454425), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L,          2L, 2L, 2L, 2L, 2L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 5L, 5L, 4L, 5L, 7L, 5L, 2L, 7L, 6L, 12L, 3L, 3L,          5L, 6L, 6L, 6L, 8L), WITHIN_350M_BUS = c(13L, 11L, 11L,          11L, 11L, 10L, 13L, 13L, 11L, 9L, 12L, 12L, 8L, 8L, 9L,          13L, 12L, 12L, 12L, 10L), WITHIN_1KM_PRISCH = c(4L, 4L,          4L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 8L, 2L, 5L, 7L, 8L,          7L, 7L, 7L, 6L), DNeighbour = c(0, 169.57585653336, 175.73762269654,          256.523867694131, 398.767579011971, 424.825453766113,          455.413943094781, 538.201157084026, 538.417361212378,          572.227882507561, 604.210226123512, 622.958847421448,          673.41138092862, 690.809982193885, 701.261205226431,          714.070744184536, 740.096418432157, 743.872097788419,          744.463430601801, 797.47059595795)), row.names = c("902",      "704", "685", "99", "190", "658", "170", "174", "871", "736",      "438", "419", "520", "372", "891", "112", "289", "298", "13",      "365"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.911611186249635,      0.905233507819541, 0.803761020567086, 0.562439280265642,      0.512961805316951, 0.454108329235008, 0.296512784422411,      0.296114308399147, 0.235338365188149, 0.18143670896771, 0.151925248880152,      0.0823294084990095, 0.0623044504893611, 0.0514072128626336,      0.0392927025857857, 0.019241651170672, 0.0168750451155278,      0.0165174130621771, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1843676780 
R squared (OOB):                  0.2065382 

$Forests[[903]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(705000, 580000, 708000,      545000, 380000, 678000, 451000, 685000, 710000, 740000, 520000,      290000, 518000, 790000, 416000, 488000, 660000, 620000, 390000,      430000), floor_area_sqm = c(90, 90, 90, 101, 89, 92, 83,      102, 101, 95, 101, 87, 93, 95, 91, 104, 105, 103, 84, 92),          storey_order = c(7L, 5L, 5L, 1L, 5L, 3L, 8L, 4L, 2L,          4L, 1L, 1L, 4L, 6L, 4L, 1L, 6L, 4L, 1L, 2L), remaining_lease_mths = c(1041,          1035, 1031, 938, 653, 1103, 604, 929, 933, 954, 929,          643, 736, 946, 713, 776, 748, 742, 783, 687), PROX_CBD = c(3.66612298934168,          3.73787601157873, 3.56091441303422, 3.59494173601466,          4.19301197437796, 3.93031212371417, 3.63056019358172,          4.15915934561343, 4.27954241101507, 4.09909964212454,          4.23995407977096, 4.35364804731157, 4.29040868967057,          4.0690703028165, 5.10609859014938, 4.16405648472164,          3.5952466633456, 3.79744534670369, 4.91139217141794,          5.17330173892321), PROX_ELDERLYCARE = c(0.851600940224316,          0.836612932336762, 0.885388735780595, 0.692364880740494,          1.05465194719342, 0.159701117649001, 0.124703716495981,          1.31127122179184, 1.2084977158608, 1.44919747885979,          1.29004325258708, 0.402111762367986, 1.28169673214061,          1.5676876481467, 0.320090253923576, 0.434539750657667,          0.354500614782039, 0.296175206272889, 0.53976690699019,          0.151830290872251), PROX_HAWKER = c(0.157376553669701,          0.15676751515481, 0.210501859943959, 0.142789347249218,          0.297392426102438, 0.374782156946409, 0.0619655343942362,          0.296724849746491, 0.32780610994166, 0.17841116959893,          0.242979724501726, 0.52502919100195, 0.224814451985556,          0.124697776657811, 0.333568708255903, 0.502732414569621,          0.311385334077859, 0.300770398866256, 0.526793317066312,          0.261285820740611), PROX_MRT = c(0.281331556481731, 0.349678715281184,          0.1853881461208, 0.346622733589529, 0.670866804568908,          0.57487373386568, 0.188513622979597, 0.361454140857751,          0.45128979061194, 0.212082976996148, 0.369514902074349,          0.698417082344063, 0.386818680985449, 0.103251860461982,          0.549226257235714, 0.518003091395578, 0.16267041353008,          0.195276091150508, 0.348715950460643, 0.568944969773001         ), PROX_PARK = c(1.07330463343821, 1.14436990313984,          0.969171323132551, 1.03638785093261, 1.34668044149268,          0.43227753152338, 0.634729277660292, 0.424082148410156,          0.496161896442625, 0.271559050503854, 0.410157320226128,          0.0959047492621704, 0.41256712340984, 0.13380185088312,          0.534309547143458, 0.269719137898212, 0.796125682214674,          0.620239922284967, 0.454973393404149, 0.375618223612072         ), PROX_GOOD_PRISCH = c(4.46068770698473, 4.42346384619917,          4.51522724145722, 4.68517728936996, 4.04417128338034,          4.55218800106713, 4.47678155678584, 3.27316539077024,          3.1984009939005, 3.22696055518642, 3.17375518133788,          4.11088283479722, 3.11124078456354, 3.17062142916436,          3.68539306501406, 3.99853475328204, 4.26949140427292,          4.13618512399158, 3.07957394860643, 3.5160560831601),          PROX_MALL = c(0.971442928620489, 1.03774509228272, 0.87678025015548,          0.814872047472938, 1.51326780463499, 1.09934779211931,          0.917363569028491, 1.03381347643634, 1.15459749844864,          0.944512912155433, 1.09860538958518, 0.801857467962545,          1.14104925826379, 0.898524741072254, 1.13513631747826,          1.00998414702412, 0.962766222186716, 1.16769889708728,          0.779372162435287, 0.96360119165526), PROX_CHAS = c(0.108213750221125,          0.0809467071188201, 0.0998361253719761, 0.0573592222158038,          0.212246176955017, 0.304936065418075, 0.112941217538546,          0.22718451096924, 0.151798893835737, 0.199996678091121,          0.128246501394164, 0.130252709580884, 0.0683025043642396,          0.162166521351491, 0.37199840586913, 0.147909276913635,          0.0963682910788478, 0.121619853002556, 0.297280152993809,          0.213267381067323), PROX_SUPERMARKET = c(0.131005301990959,          0.184584314799668, 0.103744685928207, 0.0573596645426592,          0.306178228663922, 0.35411008396507, 0.0867224629960944,          0.31622643534726, 0.314587216673928, 0.232527384837024,          0.23908756643158, 0.591301773724787, 0.200251285306447,          0.209119590970966, 0.424647979009491, 0.506391752127701,          0.269187390315468, 0.191561540751545, 0.212061147632098,          0.266791583668656), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 1L, 0L, 4L, 3L, 5L, 4L, 1L, 3L, 4L, 0L,          1L, 1L, 1L, 1L, 2L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 3L, 1L, 3L, 5L, 10L, 2L, 9L, 4L, 4L, 2L, 8L, 4L,          6L, 4L, 4L, 2L, 4L), WITHIN_350M_BUS = c(7L, 7L, 9L,          4L, 5L, 5L, 4L, 4L, 2L, 8L, 4L, 6L, 4L, 5L, 4L, 5L, 6L,          5L, 7L, 4L), WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 0L, 1L,          1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 2L, 2L,          3L), DNeighbour = c(0, 69.501827815604, 107.598576698901,          223.424655065753, 565.450821138586, 912.958776166745,          1156.07158814365, 1220.33753356677, 1273.0665451694,          1305.74545321783, 1306.28806409233, 1363.05111741525,          1372.30823928547, 1414.12233353494, 1471.50125236437,          1480.92222749826, 1488.59615978059, 1502.33526974399,          1533.66464299718, 1566.62792339186)), row.names = c("903",      "823", "881", "997", "993", "801", "237", "763", "767", "784",      "145", "532", "286", "575", "853", "223", "699", "952", "251",      "270"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996067550713817,      0.990587916036598, 0.95973559511336, 0.756423208720557, 0.43612513608314,      0.207434739671896, 0.154625315205968, 0.115365941463651,      0.0932197918640964, 0.0928674950888691, 0.0590518119731703,      0.0541440134306214, 0.0343051444605578, 0.0138660772673726,      0.0113255066928723, 0.00943551328317577, 0.00646312581455204,      0.001733814996455, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       15807562472 
R squared (OOB):                  0.2223653 

$Forests[[904]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(7e+05, 413888, 649888,      533000, 682000, 745000, 566888, 729999, 4e+05, 653000, 742000,      8e+05, 795888, 478000, 480000, 535000, 468888, 688000, 745000,      810000), floor_area_sqm = c(95, 88, 87, 88, 100, 100, 88,      100, 104, 91, 92, 105, 95, 92, 92, 92, 92, 90, 90, 90), storey_order = c(3L,      2L, 3L, 1L, 10L, 10L, 8L, 6L, 4L, 2L, 7L, 6L, 7L, 4L, 3L,      3L, 3L, 6L, 7L, 10L), remaining_lease_mths = c(1100, 668,      1103, 653, 1120, 1122, 650, 1122, 745, 1121, 1104, 938, 1140,      716, 692, 694, 701, 985, 1057, 1045), PROX_CBD = c(7.97001655790022,      7.88501742637481, 7.02256530608061, 6.92829321613491, 9.28682806708392,      9.28682806708392, 6.76124856282603, 9.41601606571959, 9.4187827620762,      9.51816518584724, 9.57467117229508, 6.53309552941355, 6.26284978479934,      9.58813304663833, 9.76973796844692, 9.76973796844692, 9.79963982832759,      9.84174458192399, 6.0390103189171, 5.99670752478149), PROX_ELDERLYCARE = c(0.682273370470252,      0.487583248392117, 0.467453442926814, 0.389684735109723,      0.306248896776786, 0.306248896776786, 0.20742531007413, 0.14515851054369,      0.579996323717894, 0.0590206014568566, 0.0836678964153836,      0.112238297630375, 0.69800247969724, 0.251441869005946, 0.487200680071974,      0.487200680071974, 0.390845215421192, 0.339166460968835,      0.798119493593788, 0.788986586736525), PROX_HAWKER = c(0.840126401207934,      0.645875214067525, 0.207247650371579, 0.133504850959355,      0.449541776391294, 0.449541776391294, 0.171967883722699,      0.552624576950901, 0.508914568418093, 0.5145461029689, 0.628838904549623,      0.357983508144609, 0.130331819855385, 0.391674386653945,      0.323134910569429, 0.323134910569429, 0.315572935590663,      0.272020065995023, 0.151348144296069, 0.199496524550099),          PROX_MRT = c(0.726942522279936, 0.707952731476156, 0.409658939160285,          0.407218977151475, 0.819017740329599, 0.819017740329599,          0.31120761671675, 0.796240617220745, 1.21403827268849,          0.689820066215858, 0.731513991246432, 0.404028215814371,          0.132116935816272, 0.707146681079003, 0.307725216106606,          0.307725216106606, 0.308409661615337, 0.348847208140378,          0.225262429159589, 0.226103982865864), PROX_PARK = c(0.618444971248099,          0.511064020035708, 0.380160428577633, 0.377410917604964,          0.754667699158598, 0.754667699158598, 0.273246118986377,          0.579398729399101, 0.633868788719276, 0.506309566114581,          0.402026431996325, 0.407986988455317, 0.742212481577902,          0.630094576064042, 0.692980820038259, 0.692980820038259,          0.556935587195362, 0.429024269124863, 0.921128796109604,          0.97332058707081), PROX_GOOD_PRISCH = c(2.78644315018514,          2.82520953766913, 2.07008813823767, 2.0639866413545,          1.50498632547922, 1.50498632547922, 1.9155109693321,          1.45792936689373, 1.8319493658717, 1.35033962190844,          1.37880970746963, 1.86607127862969, 2.39901634170637,          1.10432321767326, 0.945616550360875, 0.945616550360875,          0.97109568154285, 0.999365026226873, 2.45094763896652,          2.41026804261554), PROX_MALL = c(0.66906173274608, 0.535655644340599,          0.395390786334096, 0.352244010010256, 0.732362808464395,          0.732362808464395, 0.191774654856939, 0.616886214909116,          0.308706652763352, 0.508727078362918, 0.493679276753517,          0.26702131219094, 0.965908348364742, 0.759347764163403,          0.3113714109904, 0.3113714109904, 0.277854565241424,          0.188176716989659, 1.15586968043917, 1.14826594162738         ), PROX_CHAS = c(0.195243012850588, 0.102679570293108,          0.278446199404133, 0.180332756228222, 0.30624919123722,          0.30624919123722, 0.19177461752976, 0.145158576319141,          0.308706623046814, 0.0590210156667789, 0.0836673580931749,          0.144966662256637, 0.0879111496245458, 0.395290416984683,          0.164045702260751, 0.164045702260751, 0.213793078898363,          0.139131199666608, 0.103484302768675, 0.157172829578474         ), PROX_SUPERMARKET = c(0.169510705521186, 0.158953339299884,          0.0888694671696128, 0.0762755382886037, 0.309780650655361,          0.309780650655361, 0.113049768890948, 0.145877744762322,          0.31508799294366, 0.0642147642973091, 0.0769150331708007,          0.26343506825427, 0.0879117778441782, 0.20799335196523,          0.329801606095394, 0.329801606095394, 0.217115292225756,          0.139131268426574, 0.198926203527595, 0.212384620357781         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 1L, 0L, 0L,          1L, 0L, 0L, 0L, 0L, 1L, 2L, 0L, 1L, 1L, 1L, 1L, 3L, 3L         ), WITHIN_350M_CHILDCARE = c(0L, 1L, 3L, 5L, 1L, 1L,          4L, 1L, 4L, 1L, 2L, 5L, 3L, 2L, 3L, 3L, 4L, 4L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 5L, 10L, 7L, 7L, 7L, 8L, 8L,          3L, 7L, 7L, 3L, 5L, 7L, 11L, 11L, 11L, 9L, 9L, 10L),          WITHIN_1KM_PRISCH = c(1L, 1L, 0L, 0L, 1L, 1L, 0L, 2L,          0L, 2L, 2L, 1L, 1L, 2L, 3L, 3L, 3L, 3L, 1L, 1L), DNeighbour = c(0,          195.317404600023, 1201.8523303077, 1243.1642748039, 1318.93820642404,          1325.48722389501, 1431.39294090783, 1439.4333678061,          1528.5907236763, 1547.19304763987, 1598.58680546178,          1598.66694009318, 1707.85981279027, 1828.79539783917,          1838.96432599722, 1846.64880553987, 1851.03474018078,          1873.76852227249, 1941.91418205367, 1981.49077885558)), row.names = c("904",      "338", "221", "978", "794", "308", "834", "928", "278", "983",      "551", "81", "562", "640", "926", "68", "943", "268", "832",      "379"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.98066194550718,      0.399562917692279, 0.367701349399028, 0.310179614318227,      0.30528592045685, 0.228641276960319, 0.223053601328763, 0.163934713531126,      0.152346468876576, 0.121897949546271, 0.121852387749163,      0.066109233174064, 0.0219583027104972, 0.0192332613061765,      0.017284527279665, 0.0162154969174954, 0.0111879328154496,      0.00156399350118292, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12199758968 
R squared (OOB):                  0.3247515 

$Forests[[905]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(305000, 279000, 316000,      318000, 375000, 3e+05, 297000, 325000, 370000, 355000, 359900,      272000, 245000, 282000, 380000, 303000, 350000, 298000, 303888,      330000), floor_area_sqm = c(91, 91, 92, 91, 92, 96, 91, 91,      93, 93, 93, 89, 88, 84, 105, 92, 103, 93, 93, 103), storey_order = c(4L,      2L, 3L, 1L, 4L, 4L, 3L, 4L, 5L, 3L, 3L, 2L, 2L, 1L, 2L, 1L,      4L, 1L, 2L, 2L), remaining_lease_mths = c(791, 801, 781,      765, 783, 791, 788, 780, 1106, 1111, 1117, 882, 668, 836,      910, 794, 768, 777, 782, 773), PROX_CBD = c(18.2610111258248,      18.2989051402725, 18.2234963781047, 18.2234963781047, 18.1857629477019,      18.5761736305699, 18.1476771148045, 18.1476771148045, 18.8127816342995,      18.8127816342995, 18.8127816342995, 17.8554664137964, 18.8842060529579,      18.5087583118065, 17.589085398281, 18.2139172788048, 18.3186881593276,      18.5252470382495, 18.5252470382495, 18.4499801912104), PROX_ELDERLYCARE = c(0.421521882373529,      0.397078044127006, 0.448333702611612, 0.448333702611612,      0.47723779098819, 0.0638277150498875, 0.519546459890619,      0.519546459890619, 0.176499517448139, 0.176499517448139,      0.176499517448139, 0.800501761367975, 0.229103995883471,      0.855934448185717, 0.387351173411546, 0.649170232100017,      0.586525817031338, 0.449194476018676, 0.449194476018676,      0.504778052376495), PROX_HAWKER = c(0.453171307776496, 0.491047773869601,      0.416527045274471, 0.416527045274471, 0.380157991945912,      0.562029876499453, 0.209390724873544, 0.209390724873544,      0.325560722493799, 0.325560722493799, 0.325560722493799,      0.203123967436651, 0.280513302960552, 1.00705768005988, 0.776912813652288,      0.488031980714328, 0.564283191409187, 0.69553534809229, 0.69553534809229,      0.652207052169444), PROX_MRT = c(0.547550551918807, 0.552168886353884,      0.545975779093886, 0.545975779093886, 0.548087095608087,      0.874368880716004, 0.491311596778589, 0.491311596778589,      1.04083770509984, 1.04083770509984, 1.04083770509984, 0.555370291384357,      1.03601464731326, 0.534460782086299, 0.371614593402704, 0.192826481399443,      0.220618943711049, 0.398456142880405, 0.398456142880405,      0.322534237265928), PROX_PARK = c(0.272660801967067, 0.287159802467115,      0.264257474455249, 0.264257474455249, 0.261695126667213,      0.287868908027907, 0.270911567278729, 0.270911567278729,      0.51923222906617, 0.51923222906617, 0.51923222906617, 0.515057634059466,      0.579556587207627, 0.516289874277036, 0.925923962472294,      0.532358306258428, 0.548488124002706, 0.491317901173298,      0.491317901173298, 0.536975621309476), PROX_GOOD_PRISCH = c(9.16752282736586,      9.19982386356694, 9.1355701416359, 9.1355701416359, 9.10363750169146,      9.51590189269927, 9.18618174729203, 9.18618174729203, 9.7422556358987,      9.7422556358987, 9.7422556358987, 8.91472106998272, 9.83133063879426,      9.25922423900801, 8.43639308613493, 9.33501569353139, 9.44179125712709,      9.63394268044443, 9.63394268044443, 9.56762880935522), PROX_MALL = c(0.448092738738542,      0.486326630506135, 0.411037179701155, 0.411037179701155,      0.374195605351922, 0.624506085881379, 0.218975149940797,      0.218975149940797, 0.856774663098642, 0.856774663098642,      0.856774663098642, 0.208298160410803, 0.91348864249693, 0.521454353681198,      0.232188905247248, 0.498813518897969, 0.574856358668165,      0.705200807731176, 0.705200807731176, 0.662291407978718),          PROX_CHAS = c(0.0964740211655948, 0.0660681856594747,          0.132763801624598, 0.132763801624598, 0.172021358032342,          0.0792988689034794, 0.218975205360203, 0.218975205360203,          0.2593611752042, 0.2593611752042, 0.2593611752042, 0.208298146952687,          0.241229981070425, 0.521454374874156, 0.0713809516165408,          0.0363398547195702, 0.141159289664064, 0.240425442805127,          0.240425442805127, 0.201478871858691), PROX_SUPERMARKET = c(0.457654559995222,          0.490326509583637, 0.421116980529575, 0.421116980529575,          0.38486207983901, 0.625539331690589, 0.206881250620068,          0.206881250620068, 0.856773769273042, 0.856773769273042,          0.856773769273042, 0.19872598136169, 0.911876453557648,          0.521454611985023, 0.238177195426237, 0.186956242757619,          0.210011389308567, 0.386130046709882, 0.386130046709882,          0.310351384739933), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 2L, 2L, 3L, 3L, 1L, 1L, 1L, 5L, 1L, 1L, 2L, 5L,          4L, 1L, 1L, 2L), WITHIN_350M_BUS = c(6L, 6L, 6L, 6L,          4L, 10L, 7L, 7L, 16L, 16L, 16L, 10L, 13L, 4L, 8L, 9L,          10L, 8L, 8L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L,          4L, 2L, 3L, 3L, 1L, 1L, 1L, 3L, 1L, 4L, 5L, 2L, 2L, 2L,          2L, 2L), DNeighbour = c(0, 41.4009086863276, 41.6966782260241,          43.9526143889302, 87.5142251173238, 361.208883209184,          500.150554495147, 501.94368070637, 569.139270713536,          574.280721715033, 577.689438179091, 662.07178178034,          673.175279736104, 691.541728485257, 743.099287268991,          793.233621607162, 818.813537270682, 837.851133087577,          841.548717871316, 844.610203155413)), row.names = c("905",      "433", "202", "47", "733", "78", "827", "944", "637", "418",      "604", "467", "96", "393", "464", "481", "367", "11", "106",      "810"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.995200289614549,      0.995131550021958, 0.994591232290856, 0.97864315636307, 0.667658953507197,      0.421639673922721, 0.418374815584399, 0.298037681736607,      0.289107627990994, 0.283218506695674, 0.148636844773019,      0.13304363149412, 0.108646204085252, 0.0510437155524827,      0.0139139388201525, 0.00361832567878315, 0.00025411996593999,      5.23643922646824e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1325883653 
R squared (OOB):                  0.03708624 

$Forests[[906]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 310000, 320000,      330000, 332000, 310000, 330000, 338000, 313000, 342000, 3e+05,      330000, 4e+05, 375000, 370000, 368000, 390000, 425000, 395888,      385000), floor_area_sqm = c(107, 104, 107, 105, 104, 104,      104, 103, 103, 105, 94, 105, 100, 100, 92, 100, 91, 93, 94,      90), storey_order = c(3L, 2L, 1L, 1L, 3L, 3L, 3L, 4L, 4L,      4L, 2L, 1L, 5L, 5L, 3L, 2L, 2L, 3L, 3L, 3L), remaining_lease_mths = c(910,      840, 909, 909, 838, 838, 847, 836, 823, 822, 817, 896, 923,      935, 922, 937, 956, 1029, 1063, 1060), PROX_CBD = c(18.8361111070307,      18.6954685875173, 18.5552891680356, 18.4634083712346, 18.3394484051955,      18.2872060948971, 18.238428451998, 18.1853470145009, 19.0236365771618,      18.4174433264455, 18.4835571341017, 17.9794873864528, 18.2155576397088,      18.2155576397088, 18.2744201988815, 18.1853912561079, 17.980006840849,      18.2498667293237, 18.1899007658477, 17.6242343596777), PROX_ELDERLYCARE = c(2.10089317294022,      1.96536267509963, 1.77696496808422, 1.70649895251479, 1.68689945441126,      1.57361264937598, 1.49823830734066, 1.46334015610348, 2.54744167947726,      2.01990466694452, 2.12772209584432, 1.20397588034421, 1.82774218733134,      1.82774218733134, 1.91030467455468, 1.83831888483507, 1.69038013517483,      2.08641833813892, 2.0412967820292, 0.892136309268664), PROX_HAWKER = c(0.811063273063077,      0.696312293428963, 0.788681622626877, 0.656056303664779,      0.322806547864559, 0.464971900021808, 0.548143788898404,      0.490406092071559, 0.905177457311038, 0.365194571711665,      0.47819209562201, 0.736691454978467, 0.218122417644225, 0.218122417644225,      0.292675997882175, 0.267411626133086, 0.32947027962251, 0.574007707230075,      0.56403310040428, 0.816419857336687), PROX_MRT = c(1.15964764660018,      1.06426899086337, 1.18994045686449, 1.05945750202888, 0.722989849955079,      0.870907467758581, 0.950317003394984, 0.888080533877704,      0.985299554465195, 0.394110762668951, 0.440067919828323,      1.05284557964442, 0.24629140143503, 0.24629140143503, 0.25859759791353,      0.186589372260449, 0.131298797620671, 0.270260950193414,      0.225540054498686, 0.729175757939742), PROX_PARK = c(0.99599902820202,      0.939968281858902, 0.662341635279621, 0.707700114575514,      0.845903786092674, 0.791043930625847, 0.690805332809177,      0.741201414908801, 0.583731630523903, 0.305293053539538,      0.199823808978303, 0.555889077383573, 0.449638685926872,      0.449638685926872, 0.366705585759005, 0.431621232177097,      0.597192139646456, 0.261745107633199, 0.321396863181507,      0.830497330619545), PROX_GOOD_PRISCH = c(8.17598486214089,      8.03533881462458, 7.9054148179446, 7.80883552790736, 7.67457853159282,      7.62743554697163, 7.58243576478886, 7.52724739525134, 8.3582852678982,      7.75189187586876, 7.82005706650481, 7.33264137396139, 7.54917724573578,      7.54917724573578, 7.60907430161507, 7.51998659904145, 7.31481473864251,      7.5938744989762, 7.5338271442293, 6.97273607492461), PROX_MALL = c(0.605524804958104,      0.50227152913363, 0.238299753757691, 0.25445476080495, 0.270650184250749,      0.369641594977131, 0.291730094824992, 0.362005799982455,      0.880738168625507, 0.368677515727611, 0.482762920255867,      0.387548928263219, 0.249434383428027, 0.249434383428027,      0.31638525459609, 0.304347432784639, 0.38257003715367, 0.606938778613173,      0.601163950940652, 0.671391539314818), PROX_CHAS = c(0.526621492045347,      0.387978032092424, 0.177138384703249, 0.163921847201363,      0.186439783883369, 0.000458346083760352, 0.0811018368302058,      0.11010335009361, 0.162790585292827, 0.279695275413424, 0.297885151722028,      0.324283073315245, 0.246283235408848, 0.246283235408848,      0.258594927218762, 0.186582621643492, 0.131281394661179,      0.270276303087269, 0.225556636612455, 0.0497500971788425),          PROX_SUPERMARKET = c(0.596975645906049, 0.500728516827066,          0.237159648524433, 0.25256410508494, 0.279112228601587,          0.367596841627256, 0.289827711639516, 0.36017462873485,          0.258877921583013, 0.3481604922123, 0.402675729717655,          0.337417678694655, 0.233030240431279, 0.233030240431279,          0.297968471640837, 0.289364184128333, 0.37748716441855,          0.384544806397502, 0.37174850741073, 0.442456788826315         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 3L, 4L, 4L, 6L,          4L, 7L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 4L, 4L,          3L, 4L, 4L, 7L, 9L, 3L, 7L, 7L, 7L, 7L, 5L, 6L, 5L, 2L         ), WITHIN_350M_BUS = c(4L, 8L, 10L, 12L, 11L, 9L, 10L,          11L, 11L, 14L, 12L, 9L, 15L, 15L, 17L, 16L, 14L, 11L,          13L, 12L), WITHIN_1KM_PRISCH = c(4L, 5L, 4L, 4L, 6L,          5L, 4L, 5L, 2L, 5L, 5L, 5L, 6L, 6L, 5L, 4L, 3L, 4L, 4L,          4L), DNeighbour = c(0, 134.057123165869, 363.08009114333,          397.24626913438, 525.764402374841, 549.314457190583,          597.712507803182, 649.652528306994, 772.893082619408,          833.585033493713, 888.4575677343, 897.979138499221, 904.391303365662,          913.731251743922, 919.61173569794, 969.915251534804,          1121.05256408563, 1182.0981190136, 1214.19829741884,          1224.5149337299)), row.names = c("906", "817", "169",      "748", "693", "414", "839", "857", "248", "257", "774", "870",      "643", "571", "835", "31", "910", "369", "422", "300"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.976172899662072, 0.831893981073542, 0.80059084237642, 0.665277275925315,      0.63801785015753, 0.580243332108198, 0.516283515995142, 0.361932119541562,      0.287921678115539, 0.224263287611356, 0.213647699211575,      0.206581863849548, 0.196415376248697, 0.190094036510834,      0.138836260475935, 0.0261941535004273, 0.00463481384943029,      0.000281540817065474, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       935574102 
R squared (OOB):                  0.26229 

$Forests[[907]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(418000, 409500, 520000,      538000, 560000, 515000, 385000, 465000, 620000, 488000, 660000,      446000, 290000, 451000, 450000, 480000, 445000, 678000, 515000,      582000), floor_area_sqm = c(84, 84, 107, 90, 105, 84, 93,      91, 103, 104, 105, 94, 87, 83, 104, 94, 84, 92, 110, 104),          storey_order = c(3L, 3L, 2L, 5L, 2L, 4L, 1L, 2L, 4L,          1L, 6L, 2L, 1L, 8L, 1L, 6L, 3L, 3L, 1L, 3L), remaining_lease_mths = c(804,          807, 892, 995, 913, 804, 772, 764, 742, 776, 748, 723,          643, 604, 828, 725, 647, 1103, 859, 935), PROX_CBD = c(4.20973993763024,          4.20973993763024, 4.23142849537126, 4.4759193492502,          3.91005014077452, 3.75781957676323, 4.25035751849909,          4.28329341592686, 3.79744534670369, 4.16405648472164,          3.5952466633456, 4.45295385586978, 4.35364804731157,          3.63056019358172, 5.12061996426338, 4.50933618399607,          4.82546817648507, 3.93031212371417, 5.31333197008925,          5.4901102241405), PROX_ELDERLYCARE = c(0.156291063754703,          0.156291063754703, 0.272010492111063, 0.136621520737764,          0.449207181019876, 0.582389211118023, 0.411587417191489,          0.4193003334471, 0.296175206272889, 0.434539750657667,          0.354500614782039, 0.645271528549996, 0.402111762367986,          0.124703716495981, 0.279354008399566, 0.665866395733666,          0.401252043911139, 0.159701117649001, 0.301885421229742,          0.157919913507301), PROX_HAWKER = c(0.46881842734995,          0.46881842734995, 0.392124905911543, 0.736355433757935,          0.464701711390969, 0.393163811818296, 0.610932712322496,          0.638679046714181, 0.300770398866256, 0.502732414569621,          0.311385334077859, 0.601904675681234, 0.52502919100195,          0.0619655343942362, 0.158729667464322, 0.665007751295857,          0.33634581375869, 0.374782156946409, 0.15027253820603,          0.258924665495), PROX_MRT = c(0.750034220630686, 0.750034220630686,          0.870814763860364, 0.930431293452388, 0.361698258812245,          0.434583879195091, 0.605174310138743, 0.637237645879563,          0.195276091150508, 0.518003091395578, 0.16267041353008,          0.66128766903618, 0.698417082344063, 0.188513622979597,          1.12797954219589, 0.549595780709265, 0.437510974512092,          0.57487373386568, 0.839256513816073, 1.30755754576723         ), PROX_PARK = c(0.828179073128827, 0.828179073128827,          0.989030190878471, 0.786607284590569, 0.651892034671684,          0.885911587583127, 0.346786980248178, 0.336599362476296,          0.620239922284967, 0.269719137898212, 0.796125682214674,          0.473457593144303, 0.0959047492621704, 0.634729277660292,          1.12857946410316, 0.353281501558379, 0.386749503328341,          0.43227753152338, 0.919693677764514, 0.803347187860442         ), PROX_GOOD_PRISCH = c(3.58178441884724, 3.58178441884724,          3.47561641519302, 3.43096694593549, 3.96984616110429,          3.98479480133756, 3.87277035706644, 3.85984302070176,          4.13618512399158, 3.99853475328204, 4.26949140427292,          3.02211493728223, 4.11088283479722, 4.47678155678584,          2.70116277997296, 2.94429219434277, 2.65585299610189,          4.55218800106713, 2.32631552336422, 2.45379201830723),          PROX_MALL = c(1.26743973989934, 1.26743973989934, 1.1888213641646,          1.02435160052226, 1.2652175398851, 1.1081035152608, 0.955673327573223,          0.92062293894618, 1.16769889708728, 1.00998414702412,          0.962766222186716, 0.570379319619026, 0.801857467962545,          0.917363569028491, 1.02774547618649, 0.485349818185599,          0.337875853585261, 1.09934779211931, 0.752077094160308,          1.21674302842157), PROX_CHAS = c(0.163154212627783, 0.163154212627783,          0.106822211501606, 0.105578702221058, 0.108899254787234,          0.345906079563203, 0.260827480873255, 0.285886541141976,          0.121619853002556, 0.147909276913635, 0.0963682910788478,          0.303272176186244, 0.130252709580884, 0.112941217538546,          0.193072984237221, 0.331046161101227, 0.315432137833306,          0.304936065418075, 0.111194343620761, 0.233242749827373         ), PROX_SUPERMARKET = c(0.118448079318654, 0.118448079318654,          0.139079920157556, 0.0670716613901785, 0.115229795891962,          0.128350069204848, 0.512280309006142, 0.506434284786685,          0.191561540751545, 0.506391752127701, 0.269187390315468,          0.34627255092781, 0.591301773724787, 0.0867224629960944,          0.198191070641627, 0.325943517329761, 0.0907256678718214,          0.35411008396507, 0.370675298005651, 0.37596142908425         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 2L, 0L, 1L, 2L,          1L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 6L, 2L, 4L, 4L,          5L, 4L, 4L, 6L, 4L, 1L, 4L, 5L, 4L, 1L, 2L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 5L, 5L, 3L, 5L, 5L,          5L, 5L, 6L, 6L, 6L, 4L, 9L, 5L, 8L, 5L, 12L, 10L), WITHIN_1KM_PRISCH = c(3L,          3L, 2L, 3L, 2L, 2L, 3L, 3L, 2L, 3L, 2L, 1L, 2L, 2L, 3L,          0L, 2L, 1L, 3L, 3L), DNeighbour = c(0, 6.12712833282967,          168.637518575439, 280.411713281034, 392.419895710406,          453.516128849134, 475.76364364615, 497.766707112259,          549.500605716885, 569.806238781314, 694.822385692036,          842.709352055887, 866.370630526531, 900.655279276181,          941.855154452859, 963.630588994319, 1060.15498319403,          1107.09994931471, 1265.69697183606, 1297.26587084495)), row.names = c("907",      "382", "849", "411", "176", "234", "19", "747", "952", "223",      "699", "346", "532", "237", "646", "622", "288", "801", "279",      "307"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999955384977139,      0.966488386014611, 0.908736301062346, 0.825363461529793,      0.77050503569467, 0.749089052595516, 0.727218179633475, 0.673346442155473,      0.651364386680187, 0.508550171083626, 0.334100634484356,      0.306899388079427, 0.2683100016, 0.223614624271593, 0.200904340245126,      0.110321781022886, 0.0738159996133014, 0.00231146606054054,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6510414062 
R squared (OOB):                  0.2671721 

$Forests[[908]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(435000, 440000, 420000,      436000, 460000, 418000, 420000, 415000, 456500, 395000, 445000,      440000, 425000, 420000, 450000, 441000, 358000, 365000, 450000,      438000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 94, 94, 92, 94, 94, 94, 93, 93, 94, 93, 94), storey_order = c(2L,      8L, 5L, 7L, 7L, 6L, 6L, 8L, 8L, 4L, 6L, 5L, 6L, 7L, 7L, 6L,      1L, 1L, 9L, 5L), remaining_lease_mths = c(1128, 1142, 1132,      1139, 1125, 1129, 1142, 1140, 1144, 1113, 1109, 1124, 1119,      1120, 1119, 1097, 1103, 1095, 1136, 1076), PROX_CBD = c(12.042332185553,      12.042332185553, 12.042332185553, 12.042332185553, 12.02897658153,      12.02897658153, 12.02897658153, 12.02897658153, 11.9527102757424,      11.9744040829633, 12.1122271384014, 12.0234479092478, 11.9828723130509,      12.0119641769274, 12.0119641769274, 11.8078122246038, 11.8075546541859,      11.7965908296893, 12.1741021183779, 11.9414743986494), PROX_ELDERLYCARE = c(0.786890441142101,      0.786890441142101, 0.786890441142101, 0.786890441142101,      0.841755023464642, 0.841755023464642, 0.841755023464642,      0.841755023464642, 0.819362766143575, 0.738781707341689,      0.629785153682861, 0.938035651111226, 0.710325725805382,      0.673044116243487, 0.673044116243487, 0.95260617550949, 0.922118515238085,      1.00802268588986, 0.519600844901231, 0.687500817542951),          PROX_HAWKER = c(0.369655971945997, 0.369655971945997,          0.369655971945997, 0.369655971945997, 0.409616357379742,          0.409616357379742, 0.409616357379742, 0.409616357379742,          0.27814297307049, 0.217370340361849, 0.337796349528525,          0.507473565259923, 0.20448046373977, 0.222580914455278,          0.222580914455278, 0.262687630178652, 0.209140712961875,          0.337854809554552, 0.375471053349032, 0.147098227142532         ), PROX_MRT = c(0.298263347673859, 0.298263347673859,          0.298263347673859, 0.298263347673859, 0.331072457322778,          0.331072457322778, 0.331072457322778, 0.331072457322778,          0.200702114351669, 0.167322140356011, 0.302747284955937,          0.394231498000209, 0.170867756883987, 0.201095784108649,          0.201095784108649, 0.173777829752023, 0.120215557602138,          0.249549573241666, 0.338849049026276, 0.183575431830776         ), PROX_PARK = c(0.542226246468638, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.529446955515876,          0.529446955515876, 0.529446955515876, 0.529446955515876,          0.643017670933737, 0.679906922269617, 0.576425078157325,          0.506408767470305, 0.697136724289492, 0.691047645736797,          0.691047645736797, 0.746013140888617, 0.747098338531098,          0.739061594864021, 0.612679613149166, 0.807374064658721         ), PROX_GOOD_PRISCH = c(2.36724315061599, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36775586018775,          2.270018309959, 2.27223739349538, 2.408030235171, 2.39172047379238,          2.27447890050516, 2.29976812492723, 2.29976812492723,          2.13533890725473, 2.12338877581429, 2.14271827973834,          2.45580221931744, 2.21615815400514), PROX_MALL = c(0.332547569579886,          0.332547569579886, 0.332547569579886, 0.332547569579886,          0.358721564938295, 0.358721564938295, 0.358721564938295,          0.358721564938295, 0.232344363503357, 0.214069216816763,          0.350899017798137, 0.441394824612777, 0.220402811054307,          0.251262654177611, 0.251262654177611, 0.17025857997445,          0.119447773727589, 0.241737870027575, 0.416829357908565,          0.22663965361209), PROX_CHAS = c(0.236223262451169, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.25157977989641,          0.146038815472653, 0.0939357367291076, 0.0703863092474096,          0.223839041128234, 0.0995919009989899, 0.131248018016709,          0.131248018016709, 0.170258520163124, 0.11944771257822,          0.101692541492014, 0.0461624602204791, 0.156140837156126         ), PROX_SUPERMARKET = c(0.33849828517841, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.314501000490003,          0.237998550380205, 0.22318738818849, 0.360308355053667,          0.244018176385425, 0.230351837454113, 0.261515416493987,          0.261515416493987, 0.168966076328732, 0.119571834445138,          0.17897337633635, 0.427183407476201, 0.236998053946951         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 5L, 7L, 7L, 2L, 6L, 6L, 6L, 4L, 4L, 3L, 7L, 6L         ), WITHIN_350M_BUS = c(10L, 10L, 10L, 10L, 11L, 11L,          11L, 11L, 12L, 10L, 7L, 10L, 7L, 6L, 6L, 11L, 10L, 9L,          5L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 2.91548068988005, 3.60206907205907,          3.90875642830493, 59.2620125525408, 59.4165877752902,          62.8918450112207, 63.3392697709826, 107.29376292026,          163.170840025495, 173.530665789996, 177.015922024479,          193.628151283859, 214.025379878195, 218.648542468045,          232.489003328111, 241.064738482014, 248.770119580958,          281.18087832135, 335.570597887035)), row.names = c("908",      "16", "634", "573", "874", "700", "318", "287", "749", "858",      "607", "502", "203", "167", "947", "439", "724", "41", "621",      "781"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999849038521881,      0.99976956881975, 0.999728662420723, 0.938597044310064, 0.938281414826602,      0.930983057872553, 0.930015433895072, 0.805989793941778,      0.583026912667003, 0.536681776049997, 0.520903005434285,      0.444965751019393, 0.351906459269705, 0.331146612500881,      0.27040483847689, 0.23419864060803, 0.202880790684495, 0.0887397963499692,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       807726188 
R squared (OOB):                  -0.08546631 

$Forests[[909]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(323000, 425000, 438000,      393000, 432000, 420000, 468000, 385000, 455000, 425000, 450000,      458888, 460000, 431000, 432000, 430000, 438000, 422000, 390000,      460000), floor_area_sqm = c(90, 92, 93, 93, 93, 92, 92, 93,      92, 94, 92, 92, 92, 92, 92, 92, 94, 92, 90, 92), storey_order = c(1L,      4L, 4L, 2L, 5L, 2L, 4L, 1L, 4L, 5L, 3L, 4L, 3L, 7L, 6L, 6L,      5L, 2L, 5L, 5L), remaining_lease_mths = c(983, 988, 1132,      1134, 1138, 1139, 1124, 1134, 1136, 1083, 1136, 1130, 1137,      1138, 1137, 1126, 1076, 1132, 978, 1136), PROX_CBD = c(12.0200214112876,      12.1902934701837, 11.710716376044, 11.7767430748854, 11.7767430748854,      12.4951121122816, 12.5372560863306, 11.6526890235784, 12.5530445309639,      11.8751655684431, 12.6444338023734, 12.6444338023734, 12.6444338023734,      11.9317097346946, 11.9317097346946, 12.0797672032522, 11.9414743986494,      12.6523002899419, 12.4059518996545, 12.5778468618744), PROX_ELDERLYCARE = c(0.618171206910468,      0.362754738306624, 0.893667704764373, 0.813774711283767,      0.813774711283767, 0.0780281999502717, 0.066903342124331,      0.935812608446987, 4.52036057904239e-07, 0.727329111385366,      0.0933099122535032, 0.0933099122535032, 0.0933099122535032,      0.680106913101551, 0.680106913101551, 0.550577233037288,      0.687500817542951, 0.17445131765005, 0.404564014080405, 0.25879478544564     ), PROX_HAWKER = c(0.743318510800665, 0.536726116414185,      0.445365536494089, 0.340776861445006, 0.340776861445006,      0.227760265989261, 0.184899994018696, 0.34883542271072, 0.183834631869038,      0.145379780608352, 0.0943584031018698, 0.0943584031018698,      0.0943584031018698, 0.161367564791002, 0.161367564791002,      0.286867197183981, 0.147098227142532, 0.228019105088385,      0.551023632791116, 0.361759384229333), PROX_MRT = c(0.291532437270123,      0.364194860258715, 0.261259630709371, 0.162476645519961,      0.162476645519961, 0.288636635543175, 0.250680884626282,      0.28284034831035, 0.225183269009929, 0.191731142133254, 0.135663244459145,      0.135663244459145, 0.135663244459145, 0.214149342621172,      0.214149342621172, 0.285059794417971, 0.183575431830776,      0.189124878414716, 0.467412150427879, 0.325317058740364),          PROX_PARK = c(0.871053837980522, 0.883674706708426, 0.569724311118431,          0.615413214289157, 0.615413214289157, 0.64692671777276,          0.614568616662392, 0.489736206412745, 0.665189387379371,          0.723512884628395, 0.61385987529272, 0.61385987529272,          0.61385987529272, 0.785212145526225, 0.785212145526225,          0.747342190235743, 0.807374064658721, 0.76865606278053,          1.06942514246801, 0.898636927133822), PROX_GOOD_PRISCH = c(2.31713852475231,          2.54749739008747, 1.9723226064342, 2.03585243074848,          2.03585243074848, 2.83249303987555, 2.87119716545371,          1.91178525383739, 2.90013878468328, 2.14229157607785,          2.98554640042679, 2.98554640042679, 2.98554640042679,          2.20126444296921, 2.20126444296921, 2.35145083667271,          2.21615815400514, 3.02962689364369, 2.85954585658161,          2.98751376551561), PROX_MALL = c(0.859289251142989, 0.835543217968543,          0.535719768985538, 0.437539575450179, 0.437539575450179,          0.848059510883206, 0.863947607104433, 0.427385274755512,          0.801147315442336, 0.249449426365425, 0.835997866672575,          0.835997866672575, 0.835997866672575, 0.255684281538694,          0.255684281538694, 0.356578632219481, 0.22663965361209,          0.680457081346124, 0.423524868376446, 0.550769417999913         ), PROX_CHAS = c(0.310908028614088, 0.167384851183216,          0.215330181794506, 0.108183414657245, 0.108183414657245,          3.19858778746232e-08, 0.0439945201117045, 0.225869963934761,          0.0780281620295796, 0.179410689617013, 0.102096070463208,          0.102096070463208, 0.102096070463208, 0.203726500797623,          0.203726500797623, 0.146949814741425, 0.156140837156126,          0.162820120107843, 0.187639553192951, 0.236995708134403         ), PROX_SUPERMARKET = c(0.507879796624066, 0.552359009160243,          0.215506457059651, 0.108294583955479, 0.108294583955479,          0.255060837787685, 0.218453608018692, 0.225911825558638,          0.189775839444753, 0.179159947933279, 0.102095775430648,          0.102095775430648, 0.102095775430648, 0.217804588957955,          0.217804588957955, 0.315486318912089, 0.236998053946951,          0.162819600148508, 0.375814638453933, 0.299832635957983         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 1L, 1L, 1L, 3L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(1L, 3L, 2L, 3L, 3L, 5L,          6L, 3L, 7L, 7L, 7L, 7L, 7L, 6L, 6L, 5L, 6L, 6L, 4L, 5L         ), WITHIN_350M_BUS = c(6L, 12L, 2L, 4L, 4L, 10L, 10L,          4L, 11L, 6L, 10L, 10L, 10L, 8L, 8L, 9L, 8L, 11L, 10L,          8L), WITHIN_1KM_PRISCH = c(4L, 3L, 4L, 4L, 4L, 4L, 4L,          4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 4L, 5L, 4L),          DNeighbour = c(0, 356.487189499886, 467.226763095197,          505.690916834067, 507.636079004003, 544.555444645592,          575.926020207935, 594.91608465407, 614.40445124245, 685.019899920884,          689.022425728714, 689.377358393086, 689.707830673858,          701.446330618713, 706.594341508914, 736.613108569831,          759.127473636783, 777.275535234506, 779.392161713082,          790.544135962213)), row.names = c("909", "783", "384",      "939", "325", "791", "672", "309", "764", "250", "166", "807",      "92", "613", "392", "900", "781", "311", "138", "355"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.634657611437796, 0.423405681069426, 0.34906419232983, 0.345347341858291,      0.276155130960618, 0.220205707549477, 0.188081419199883,      0.156794493659664, 0.0620749059694386, 0.0577673412723612,      0.0573916489960167, 0.0570427765026822, 0.0452440655925943,      0.0404444312402417, 0.0173676242565938, 0.00606869002904528,      0.00110799546692165, 0.000784807402991957, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1062839270 
R squared (OOB):                  0.06906016 

$Forests[[910]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(390000, 368000, 375000,      4e+05, 370000, 395888, 371000, 425000, 365000, 345000, 342000,      390000, 3e+05, 4e+05, 430000, 4e+05, 332000, 310000, 338000,      330000), floor_area_sqm = c(91, 100, 100, 100, 92, 94, 91,      93, 91, 92, 105, 90, 94, 91, 91, 90, 104, 104, 103, 104),          storey_order = c(2L, 2L, 5L, 5L, 3L, 3L, 2L, 3L, 5L,          2L, 4L, 2L, 2L, 2L, 4L, 3L, 3L, 3L, 4L, 3L), remaining_lease_mths = c(956,          937, 935, 923, 922, 1063, 957, 1029, 965, 974, 822, 947,          817, 956, 962, 953, 838, 838, 836, 847), PROX_CBD = c(17.980006840849,          18.1853912561079, 18.2155576397088, 18.2155576397088,          18.2744201988815, 18.1899007658477, 17.630719557776,          18.2498667293237, 17.6174166659189, 17.6174166659189,          18.4174433264455, 17.5579663674298, 18.4835571341017,          17.5146993337396, 17.4594236905894, 17.5759295796121,          18.3394484051955, 18.2872060948971, 18.1853470145009,          18.238428451998), PROX_ELDERLYCARE = c(1.69038013517483,          1.83831888483507, 1.82774218733134, 1.82774218733134,          1.91030467455468, 2.0412967820292, 1.35614304544574,          2.08641833813892, 1.58663462608392, 1.58663462608392,          2.01990466694452, 1.26304449634962, 2.12772209584432,          1.21552371031002, 1.1429422216578, 1.07156662032258,          1.68689945441126, 1.57361264937598, 1.46334015610348,          1.49823830734066), PROX_HAWKER = c(0.32947027962251,          0.267411626133086, 0.218122417644225, 0.218122417644225,          0.292675997882175, 0.56403310040428, 0.550798352023498,          0.574007707230075, 0.699652587196505, 0.699652587196505,          0.365194571711665, 0.610726758846462, 0.47819209562201,          0.65109908849923, 0.704564458032275, 0.622851592932912,          0.322806547864559, 0.464971900021808, 0.490406092071559,          0.548143788898404), PROX_MRT = c(0.131298797620671, 0.186589372260449,          0.24629140143503, 0.24629140143503, 0.25859759791353,          0.225540054498686, 0.481509556817778, 0.270260950193414,          0.430901962912929, 0.430901962912929, 0.394110762668951,          0.415424130147435, 0.440067919828323, 0.367017506823782,          0.304209523777939, 0.449846795062068, 0.722989849955079,          0.870907467758581, 0.888080533877704, 0.950317003394984         ), PROX_PARK = c(0.597192139646456, 0.431621232177097,          0.449638685926872, 0.449638685926872, 0.366705585759005,          0.321396863181507, 0.706852169587072, 0.261745107633199,          0.815337468455046, 0.815337468455046, 0.305293053539538,          0.622915525490857, 0.199823808978303, 0.57589083993138,          0.515475588097358, 0.650211227804106, 0.845903786092674,          0.791043930625847, 0.741201414908801, 0.690805332809177         ), PROX_GOOD_PRISCH = c(7.31481473864251, 7.51998659904145,          7.54917724573578, 7.54917724573578, 7.60907430161507,          7.5338271442293, 6.96345421686322, 7.5938744989762, 6.95710824587607,          6.95710824587607, 7.75189187586876, 6.89020500321914,          7.82005706650481, 6.84682201594428, 6.79149624878531,          6.90999703096039, 7.67457853159282, 7.62743554697163,          7.52724739525134, 7.58243576478886), PROX_MALL = c(0.38257003715367,          0.304347432784639, 0.249434383428027, 0.249434383428027,          0.31638525459609, 0.601163950940652, 0.581015113036356,          0.606938778613173, 0.753687860987251, 0.753687860987251,          0.368677515727611, 0.488271313828636, 0.482762920255867,          0.437698049352173, 0.366883459562171, 0.456006423255308,          0.270650184250749, 0.369641594977131, 0.362005799982455,          0.291730094824992), PROX_CHAS = c(0.131281394661179,          0.186582621643492, 0.246283235408848, 0.246283235408848,          0.258594927218762, 0.225556636612455, 0.481496129777697,          0.270276303087269, 0.430898255483663, 0.430898255483663,          0.279695275413424, 0.40162373925963, 0.297885151722028,          0.354009255575758, 0.293637386768921, 0.401255348981324,          0.186439783883369, 0.000458346083760352, 0.11010335009361,          0.0811018368302058), PROX_SUPERMARKET = c(0.37748716441855,          0.289364184128333, 0.233030240431279, 0.233030240431279,          0.297968471640837, 0.37174850741073, 0.432325009404537,          0.384544806397502, 0.467885028141574, 0.467885028141574,          0.3481604922123, 0.339170507836652, 0.402675729717655,          0.288534867112482, 0.217741105325511, 0.338457664260807,          0.279112228601587, 0.367596841627256, 0.36017462873485,          0.289827711639516), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L,          1L, 4L, 6L, 7L, 4L), WITHIN_350M_CHILDCARE = c(5L, 7L,          7L, 7L, 7L, 5L, 6L, 6L, 4L, 4L, 7L, 6L, 9L, 6L, 6L, 5L,          4L, 4L, 4L, 3L), WITHIN_350M_BUS = c(14L, 16L, 15L, 15L,          17L, 13L, 8L, 11L, 6L, 6L, 14L, 9L, 12L, 10L, 8L, 8L,          11L, 9L, 11L, 10L), WITHIN_1KM_PRISCH = c(3L, 4L, 6L,          6L, 5L, 4L, 4L, 4L, 3L, 3L, 5L, 4L, 5L, 4L, 4L, 4L, 6L,          5L, 5L, 4L), DNeighbour = c(0, 200.000315439393, 238.224935257821,          246.430080135946, 295.459381250517, 351.790432034579,          372.322877166489, 395.761433817198, 396.690148264573,          399.981156051549, 432.852078103235, 468.658377569225,          509.550552286632, 519.418213316131, 588.479376554203,          624.317528507033, 653.318087487998, 781.049072414214,          791.617634808685, 862.001603695685)), row.names = c("910",      "31", "571", "643", "835", "422", "547", "369", "220", "14",      "257", "545", "774", "93", "937", "357", "693", "414", "857",      "839"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.895232782168319,      0.853080845708344, 0.84322332162945, 0.778834158041771, 0.694634260162682,      0.661681304675724, 0.622851818793256, 0.621289432040643,      0.615739396653719, 0.559276241227006, 0.496186846867044,      0.423243190999975, 0.405650181450987, 0.285086747765186,      0.226043493727421, 0.181114211687335, 0.0320428021312748,      0.0245350101918349, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       880877764 
R squared (OOB):                  0.325147 

$Forests[[911]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(437000, 398000, 415000,      495000, 525000, 530000, 420000, 550000, 460000, 490888, 412000,      455000, 589000, 510000, 498000, 550000, 532000, 475000, 455000,      460000), floor_area_sqm = c(93, 93, 93, 93, 97, 95, 93, 95,      92, 93, 90, 93, 96, 97, 93, 98, 96, 92, 92, 92), storey_order = c(2L,      1L, 2L, 5L, 3L, 4L, 1L, 4L, 3L, 5L, 3L, 4L, 6L, 2L, 2L, 4L,      4L, 5L, 5L, 3L), remaining_lease_mths = c(1076, 1077, 1071,      1080, 1098, 1106, 1101, 1115, 1107, 1141, 1034, 1096, 1111,      1104, 1102, 1103, 1111, 1098, 1108, 1097), PROX_CBD = c(14.2040057462849,      14.2040057462849, 14.2040057462849, 14.2035293519974, 14.3488328635023,      14.4087790426081, 14.3298082323417, 13.9206851659757, 14.2518409016409,      14.4799585140632, 13.9701294998534, 14.3469943525049, 13.8838492138892,      13.7787547800329, 13.8269911518463, 13.7784857598507, 13.8842234613226,      14.3437499696049, 14.2694643570804, 14.2694643570804), PROX_ELDERLYCARE = c(0.732225931930739,      0.732225931930739, 0.732225931930739, 0.685279068417721,      0.805205193908325, 0.87860471100088, 0.943112693551276, 0.410984632703067,      0.985840321219444, 1.06862824267944, 0.798789790509628, 1.07571195137499,      0.321249151015697, 0.357313426679343, 0.272443342502121,      0.303554199654945, 0.284905700992106, 1.14464302293932, 1.14423906696184,      1.14423906696184), PROX_HAWKER = c(0.429643877236979, 0.429643877236979,      0.429643877236979, 0.384064154962602, 0.28631929470226, 0.295591155505828,      0.494981643036057, 0.63246529422046, 0.656651462258042, 0.462243392197612,      0.796241674024292, 0.654543769257927, 0.661984274687099,      0.779750574682814, 0.718894335359525, 0.771130061467184,      0.667389882084889, 0.74882220835846, 0.826638245470088, 0.826638245470088     ), PROX_MRT = c(0.339881548667158, 0.339881548667158, 0.339881548667158,      0.289240493397468, 0.320519516131068, 0.258499173090988,      0.122691316210064, 0.247793554682504, 0.189142279194464,      0.082651796212049, 0.262922949537813, 0.131478587775223,      0.202599849124069, 0.373119808041594, 0.250191496834268,      0.334453451125385, 0.172676244118343, 0.217663394995295,      0.30438768875815, 0.30438768875815), PROX_PARK = c(0.735378016798131,      0.735378016798131, 0.735378016798131, 0.69423802629866, 0.585388118838944,      0.572778275466331, 0.760551135167525, 0.9355470513087, 0.785709089572823,      0.682350458092963, 0.929619749314005, 0.731552922713316,      0.953674473627188, 1.07510958061046, 1.00953333913803, 1.07038952907209,      0.946790994443363, 0.636899975343007, 0.599699049952129,      0.599699049952129), PROX_GOOD_PRISCH = c(4.87692111553996,      4.87692111553996, 4.87692111553996, 4.84858590291698, 4.99658730632735,      5.07040230577432, 5.05687720866847, 4.55661004860153, 5.03443000866885,      5.20136656590841, 4.76155598853922, 5.13548460888622, 4.48950135049007,      4.43794264479214, 4.43409233459216, 4.41640053984819, 4.46427355245829,      5.1680916684458, 5.12184985907385, 5.12184985907385), PROX_MALL = c(0.458083927679449,      0.458083927679449, 0.458083927679449, 0.37351280301214, 0.415696526053807,      0.48422641650143, 0.644100917109673, 0.441605558767423, 0.535261743386166,      0.64848155368644, 0.698652085628877, 0.480981762762808, 0.415387276861254,      0.579723774298741, 0.464449368072494, 0.546157830895501,      0.384398044205003, 0.38589862433106, 0.351657486288216, 0.351657486288216     ), PROX_CHAS = c(0.0920652608940773, 0.0920652608940773,      0.0920652608940773, 0.170907589664044, 0.232702657922268,      0.263312743704905, 0.116678641770301, 0.230184731543739,      0.121511881264649, 0.149921511006425, 0.224338502615803,      0.0578525184286013, 0.130388475133542, 0.2330532561781, 0.093713435160417,      0.171232412843018, 0.0936868185767241, 0.0401042229543167,      0.120456720485379, 0.120456720485379), PROX_SUPERMARKET = c(0.0920659899308881,      0.0920659899308881, 0.0920659899308881, 0.170908382081647,      0.232703172737007, 0.263313051629592, 0.116679779166118,      0.23018467784701, 0.121511691834874, 0.149922203205158, 0.281017798180362,      0.0704323341151683, 0.130388583033251, 0.233052713938452,      0.0937132175773042, 0.171231859107883, 0.093687407280864,      0.165776473264822, 0.244158473149448, 0.244158473149448),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          2L, 1L, 2L, 1L, 2L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 5L, 6L, 6L,          7L, 4L, 10L, 6L, 7L, 7L, 3L, 4L, 5L, 5L, 3L, 8L, 10L,          10L), WITHIN_350M_BUS = c(9L, 9L, 9L, 9L, 9L, 10L, 9L,          13L, 9L, 6L, 13L, 8L, 9L, 11L, 8L, 7L, 7L, 8L, 9L, 9L         ), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 6L, 5L, 5L,          5L, 6L, 4L, 8L, 4L, 5L, 8L, 5L, 6L, 5L, 5L, 6L, 6L),          DNeighbour = c(0, 2.88075326749017, 3.94351223425827,          82.9514352900066, 155.508083275144, 203.289914852085,          219.322898006301, 321.247999215037, 326.649043246842,          340.674776269717, 374.971582280252, 382.378724342472,          409.51889212266, 442.645104511978, 454.27373823567, 463.412938195954,          467.223945887527, 480.041903315743, 517.566360532959,          519.946195839408)), row.names = c("911", "448", "272",      "66", "363", "969", "688", "516", "73", "979", "301", "488",      "723", "549", "376", "837", "670", "70", "470", "434"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999938607029668, 0.999884955177283, 0.949742766517209,      0.829098008496907, 0.71763365466569, 0.67579776284516, 0.382249358111229,      0.366411365775536, 0.325695939922189, 0.2303120021369, 0.210825817611646,      0.144140319228631, 0.0757567779093529, 0.0560075971344247,      0.0422862054498265, 0.0370628040395897, 0.0217868916546689,      8.34155291597918e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1730670465 
R squared (OOB):                  0.3843652 

$Forests[[912]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(423888, 362000, 390000,      420000, 4e+05, 4e+05, 370000, 412000, 367000, 418000, 415000,      428000, 323000, 310000, 420000, 416000, 433000, 415000, 4e+05,      395000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 93, 92, 104, 105, 92, 92, 92, 92, 92, 92), storey_order = c(5L,      1L, 2L, 3L, 3L, 2L, 1L, 5L, 1L, 5L, 4L, 4L, 2L, 3L, 5L, 4L,      4L, 5L, 2L, 2L), remaining_lease_mths = c(1136, 1135, 1139,      1144, 1143, 1137, 1146, 1144, 1137, 1138, 1141, 1140, 806,      827, 1143, 1140, 1130, 1144, 1130, 1146), PROX_CBD = c(15.9500375777464,      15.9297907572658, 16.0085061296439, 15.9392575628934, 16.0475930141239,      16.0475930141239, 15.87024444961, 16.0903666266177, 16.0903666266177,      16.0903666266177, 15.719551353229, 16.1831859860721, 15.5926635355646,      15.6029325535915, 16.1537572283104, 16.055983361932, 16.055983361932,      15.9533618390172, 16.1976566517324, 16.0046521285213), PROX_ELDERLYCARE = c(0.0923316964070077,      0.0463608633689567, 0.133825008100465, 0.0436662178849567,      0.129564145964732, 0.129564145964732, 0.10693627682917, 0.179967723198436,      0.179967723198436, 0.179967723198436, 0.251997184681221,      0.0701319802482612, 0.348154483747206, 0.338118814836049,      0.0462823216560119, 0.146417557277997, 0.146417557277997,      0.251148223850536, 9.89208662673193e-07, 0.20718686492254     ), PROX_HAWKER = c(0.798502368740115, 0.768716574287481,      0.86073340068049, 0.765854363537175, 0.872301448799324, 0.872301448799324,      0.694651515851724, 0.9143232220583, 0.9143232220583, 0.9143232220583,      0.543607139892928, 1.00994702859189, 0.438799857473275, 0.432858942767381,      0.986028325459381, 0.897672222950446, 0.897672222950446,      0.802087399746937, 1.03146250928298, 0.855932206484513),          PROX_MRT = c(1.27956490520873, 1.23034399571509, 1.31406230168452,          1.14464062157712, 1.14436247830993, 1.14436247830993,          1.09555222562317, 1.13213387762555, 1.13213387762555,          1.13213387762555, 1.04322565796881, 1.08237519657155,          1.20427337027458, 1.13678031777592, 1.02112351286352,          0.936151237003446, 0.936151237003446, 0.8851452059773,          1.02706758196582, 0.883219311345816), PROX_PARK = c(0.8970097589344,          0.846978318526899, 0.947603217866828, 0.777956069134633,          0.824988291997923, 0.824988291997923, 0.707790886000148,          0.83568858459355, 0.83568858459355, 0.83568858459355,          0.60075194434184, 0.848434833813522, 0.608584573014238,          0.578149656320062, 0.793519520304926, 0.683762717294504,          0.683762717294504, 0.589052524814441, 0.822565203699192,          0.619767633008914), PROX_GOOD_PRISCH = c(6.61604918176311,          6.58539462985877, 6.67823761190993, 6.57394481891556,          6.67335529701902, 6.67335529701902, 6.49806658702102,          6.70919168347838, 6.70919168347838, 6.70919168347838,          6.34176102939636, 6.78038310261662, 6.25532900137267,          6.24898658848638, 6.74044920052795, 6.63421015362065,          6.63421015362065, 6.52939634907869, 6.78043949525415,          6.57618460349959), PROX_MALL = c(0.517477751202279, 0.478634609766659,          0.528820301792356, 0.391567182053879, 0.339403259296736,          0.339403259296736, 0.388975340293238, 0.311149009276151,          0.311149009276151, 0.311149009276151, 0.460595397283409,          0.241735562355662, 0.657431321444681, 0.60644342729779,          0.180580587241737, 0.118546137622893, 0.118546137622893,          0.161178852361569, 0.189710317758296, 0.110811660449771         ), PROX_CHAS = c(0.0505118784777886, 4.95402698497433e-08,          0.104680199868824, 0.0895372628546906, 0.16574506375663,          0.16574506375663, 0.140210421841136, 0.215238065300109,          0.215238065300109, 0.215238065300109, 0.269388612247007,          0.148113838308576, 0.337342861051532, 0.336408570757183,          0.0922372285822684, 0.110329053122027, 0.110329053122027,          0.165813590617473, 0.0868060808909073, 0.114687044901222         ), PROX_SUPERMARKET = c(0.47836894165083, 0.427887094284235,          0.525839072677995, 0.354688671920554, 0.344658205065017,          0.344658205065017, 0.287679129281494, 0.316789996913415,          0.316789996913415, 0.316789996913415, 0.219989756424723,          0.247969406526707, 0.403551045123396, 0.338214025323699,          0.186806037215644, 0.123371553336512, 0.123371553336512,          0.162291812321236, 0.195853508350489, 0.112847248683738         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 1L, 0L, 0L,          1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 5L, 2L, 3L, 2L, 2L,          4L, 2L, 2L, 2L, 5L, 7L, 4L, 4L, 8L, 3L, 3L, 3L, 8L, 3L         ), WITHIN_350M_BUS = c(7L, 7L, 7L, 9L, 9L, 9L, 8L, 8L,          8L, 8L, 5L, 7L, 6L, 6L, 7L, 7L, 7L, 8L, 7L, 7L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 2L, 4L, 4L,          5L, 5L, 5L, 5L, 5L), DNeighbour = c(0, 58.9361630338155,          60.7267162791804, 137.493278911596, 190.143871454449,          191.17138610149, 196.23653158343, 232.824108927214, 234.075959141754,          236.227047618862, 319.760182181844, 361.082823832689,          367.371091296941, 372.059561583094, 393.179813734999,          397.178493858485, 401.730566759532, 406.812256467347,          428.575008731776, 430.272509602168)), row.names = c("912",      "654", "653", "517", "28", "440", "582", "919", "161", "249",      "698", "661", "458", "924", "869", "538", "741", "124", "427",      "408"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.962828234293438,      0.960558329193774, 0.806203301184462, 0.647560022506608,      0.644158420048243, 0.627257032366965, 0.500134102498769,      0.495678649578524, 0.488014036197023, 0.200450636324268,      0.0874684408965891, 0.0734453404860965, 0.0636462899646929,      0.0272194482323328, 0.0218780753558723, 0.016452902724331,      0.0112520036908779, 6.20122862420038e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       992513137 
R squared (OOB):                  0.1296765 

$Forests[[913]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 420000, 420000,      345000, 340000, 370000, 335000, 336000, 380000, 310000, 325000,      345000, 323000, 295000, 390000, 370000, 350000, 345000, 343000,      325000), floor_area_sqm = c(93, 93, 92, 102, 101, 93, 101,      104, 93, 104, 104, 103, 104, 105, 126, 103, 104, 104, 102,      90), storey_order = c(1L, 3L, 6L, 2L, 5L, 1L, 2L, 4L, 1L,      1L, 1L, 5L, 3L, 1L, 2L, 4L, 2L, 4L, 5L, 4L), remaining_lease_mths = c(1138,      1139, 1104, 935, 943, 1139, 933, 958, 1142, 879, 872, 944,      956, 870, 879, 881, 863, 862, 935, 912), PROX_CBD = c(15.9652529785268,      15.9652529785268, 16.0058570800758, 16.0814208174046, 15.9284058495794,      15.8422849591204, 16.135389698045, 16.2237683329895, 15.6174435761395,      15.9652370890998, 15.9652370890998, 15.6615925135045, 16.3822081442679,      16.027241877126, 16.1769042321823, 15.9139497277605, 15.9139497277605,      16.2035530975804, 15.6558233565228, 16.3759795802925), PROX_ELDERLYCARE = c(0.120425003900544,      0.120425003900544, 0.0922651494707867, 0.129424766752979,      0.260351961534281, 0.241353796602158, 0.214357316635524,      0.233700982090528, 0.457575537702088, 0.372962984236141,      0.372962984236141, 0.372854461013726, 0.317064501792404,      0.401697186037664, 0.382017171357745, 0.471057675436291,      0.471057675436291, 0.462412199513001, 0.268146833149962,      0.437652472603004), PROX_HAWKER = c(2.36922200206298, 2.36922200206298,      2.393526972262, 2.40830007300065, 2.2342618496891, 2.37354129025836,      2.40272097648418, 2.48966457045008, 2.21004723991438, 2.45115541279444,      2.45115541279444, 2.39243139523594, 2.76474077583521, 2.44772974464855,      2.55739022352562, 2.34701070601947, 2.34701070601947, 2.51024920878341,      2.27183532495414, 2.71828200917597), PROX_MRT = c(0.886101680623091,      0.886101680623091, 0.910164710677637, 1.00126993569874, 1.02417718077332,      0.721786411333246, 1.09323648573999, 1.11461848888664, 0.70935210619912,      0.52727924180445, 0.52727924180445, 0.499275570100955, 1.02897813643603,      0.538616250543522, 0.674610535324426, 0.424613907535265,      0.424613907535265, 0.65447898159524, 0.370313443989706, 0.870089952652958     ), PROX_PARK = c(1.58077599563476, 1.58077599563476, 1.6216647961598,      1.7154732425778, 1.61207436869795, 1.42084473696832, 1.7942088991982,      1.86547668850022, 1.21748666352844, 1.39203600576681, 1.39203600576681,      1.19384102986047, 1.73717122008599, 1.35146177086674, 1.39748820590438,      1.30337713627377, 1.30337713627377, 1.32632916723033, 1.16446299803307,      1.49155883505512), PROX_GOOD_PRISCH = c(5.96493131981452,      5.96493131981452, 6.00411547246196, 6.0710937852797, 5.90870946924896,      5.8611108446886, 6.11593822040069, 6.20687623278084, 5.63578467655705,      6.02718330754398, 6.02718330754398, 5.71328270316738, 6.39421933734494,      6.09534233388474, 6.23706483495109, 5.99275530970335, 5.99275530970335,      6.27623366830878, 5.73062396037349, 6.4246273009838), PROX_MALL = c(0.18546430077947,      0.18546430077947, 0.187934498474296, 0.261655001598387, 0.350369242497661,      0.177442774283774, 0.350342319635, 0.36788016328609, 0.401390812484646,      0.238316612740974, 0.238316612740974, 0.238209845871265,      0.374078152135628, 0.275346491924215, 0.292722816398213,      0.338688619983659, 0.338688619983659, 0.370949542105629,      0.155488337640192, 0.409369768138594), PROX_CHAS = c(0.185464348558652,      0.185464348558652, 0.187934543511456, 0.26165503944411, 0.35036929019185,      0.177442804982894, 0.350342354631045, 0.367880188789974,      0.187858028295528, 0.238316573509266, 0.238316573509266,      0.238209795937414, 0.374078140160073, 0.275346446899555,      0.292722768811081, 0.338688583692834, 0.338688583692834,      0.370949494121523, 0.155488306171375, 0.409369730284335),          PROX_SUPERMARKET = c(0.198556813498254, 0.198556813498254,          0.197516435852273, 0.265481412722203, 0.363015443397577,          0.197153631350279, 0.352223797136593, 0.364697803989784,          0.412009517866082, 0.177610526119132, 0.177610526119132,          0.238833101010687, 0.357574924056941, 0.141316208924405,          0.254565333705719, 0.112474666082431, 0.112474666082431,          0.235998227482853, 0.152010752053411, 0.389543937857684         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 0L, 0L, 2L,          0L, 0L, 3L, 3L, 3L, 3L, 2L, 3L, 5L, 3L, 3L, 3L, 4L, 2L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 5L, 3L, 7L,          2L, 2L, 3L, 6L, 6L, 5L, 1L, 8L, 8L, 9L, 9L, 5L, 8L, 2L         ), WITHIN_350M_BUS = c(15L, 15L, 14L, 13L, 10L, 15L,          9L, 9L, 15L, 14L, 14L, 16L, 9L, 12L, 9L, 15L, 15L, 7L,          14L, 5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 3L,          2L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L         ), DNeighbour = c(0, 8.92289099738193, 46.181861961675,          135.603685254463, 166.418131646854, 171.733156663615,          224.254752451605, 285.641178770545, 359.82197208514,          412.135457549828, 413.573491332553, 437.483957776489,          437.492788208066, 454.258189933918, 473.259012412708,          501.664358171899, 505.457228977818, 547.923111359679,          548.651965482951, 550.65257985699)), row.names = c("913",      "137", "154", "890", "705", "585", "88", "394", "766", "490",      "566", "572", "173", "463", "54", "927", "959", "806", "450",      "974"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999474915990389,      0.985981954567366, 0.882389750061869, 0.825668759294941,      0.814931952865972, 0.695798272374816, 0.534239646631243,      0.328337870465192, 0.193445031216414, 0.190015681174547,      0.136011383846972, 0.135992589566404, 0.102058176944425,      0.068300508722656, 0.0289045197218163, 0.0247796383810642,      9.77924730653593e-05, 5.26080378338661e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       700639112 
R squared (OOB):                  0.3702433 

$Forests[[914]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(333000, 388800, 350000,      380000, 3e+05, 335000, 390000, 562000, 540000, 462000, 680000,      660000, 420000, 735000, 380000, 325000, 347000, 320000, 398000,      340000), floor_area_sqm = c(89, 98, 92, 92, 92, 83, 92, 107,      107, 105, 87, 87, 92, 97, 92, 82, 90, 90, 92, 92), storey_order = c(1L,      2L, 4L, 4L, 2L, 3L, 1L, 7L, 6L, 1L, 6L, 3L, 5L, 6L, 2L, 4L,      5L, 2L, 3L, 1L), remaining_lease_mths = c(692, 697, 688,      693, 691, 687, 685, 957, 969, 965, 1076, 1066, 694, 1066,      687, 666, 672, 672, 714, 699), PROX_CBD = c(10.7178846249378,      10.7178846249378, 10.7428660694501, 10.7273754880637, 10.7273754880637,      10.5501175985891, 10.3184291669162, 10.9472701195372, 11.0486323727393,      10.9320040827019, 10.1126951054664, 10.1126951054664, 10.5902646894981,      9.96973817000633, 10.571248724537, 10.0782341562763, 10.5036676165143,      10.5036676165143, 9.95525560808738, 9.97016469840266), PROX_ELDERLYCARE = c(0.903749132751209,      0.903749132751209, 1.00386291289403, 0.968089576161562, 0.968089576161562,      0.724362239545807, 0.724299376510179, 0.867518349265545,      0.974567200018427, 0.83761180429981, 0.511544492658224, 0.511544492658224,      0.476382036969741, 0.560133969723593, 0.426373779355343,      0.248412112584261, 0.346712236264009, 0.346712236264009,      0.150508443509651, 0.14040561650552), PROX_HAWKER = c(0.131164348467149,      0.131164348467149, 0.19921426515349, 0.259491073356982, 0.259491073356982,      0.496328097640832, 0.285348407142059, 0.429153921265228,      0.436692566666558, 0.499252912381913, 0.268370020499938,      0.268370020499938, 0.142004884371921, 0.246219700947935,      0.155284554597335, 0.250435976222025, 0.255376275980047,      0.255376275980047, 0.153089379504462, 0.15909114400288),          PROX_MRT = c(0.897030842789514, 0.897030842789514, 0.911557541227745,          0.880392787161762, 0.880392787161762, 0.92637591011884,          0.752281430413819, 0.638393210693291, 0.741783227751877,          0.582189406643083, 0.549740095282867, 0.549740095282867,          0.793335563342317, 0.405168801785449, 0.822399768635659,          0.622308556906305, 0.908007357991278, 0.908007357991278,          0.521845664201362, 0.494111782173202), PROX_PARK = c(0.68415716278098,          0.68415716278098, 0.65460215425144, 0.675703893946554,          0.675703893946554, 0.888350706343443, 1.05219739289641,          0.730900012581548, 0.644279497097323, 0.802226928628916,          0.878497256111703, 0.878497256111703, 0.57091664624863,          0.868342722448078, 0.471129460807546, 0.627458410441261,          0.381418159266178, 0.381418159266178, 0.730503149795042,          0.68588072489708), PROX_GOOD_PRISCH = c(1.69245386393467,          1.69245386393467, 1.57772010642862, 1.51964159199475,          1.51964159199475, 1.37609088117382, 1.54472866778257,          1.50789829567152, 1.50173151878208, 1.4460454342776,          1.46177539101005, 1.46177539101005, 0.962114901666907,          1.55873028154778, 0.876989954992127, 1.26151864262594,          0.825686703361669, 0.825686703361669, 2.01039924795066,          1.97396491196204), PROX_MALL = c(0.922177591154216, 0.922177591154216,          0.913300066979642, 0.885934538444454, 0.885934538444454,          0.693136328895784, 0.472532088410597, 1.34630282297423,          1.41292867182356, 1.37776203899083, 0.269774803261538,          0.269774803261538, 0.838333779631814, 0.129560175686973,          0.872531493441133, 0.418279044459304, 0.873995522285645,          0.873995522285645, 0.757457219803541, 0.802483711672914         ), PROX_CHAS = c(0.141741960002869, 0.141741960002869,          0.184868017131885, 0.161497017697243, 0.161497017697243,          0.120595382532287, 0.165961529218061, 0.344403926608958,          0.375455350402476, 0.293630149165848, 0.20472250196774,          0.20472250196774, 0.0950095589968322, 0.0647243745052949,          0.109732367463933, 0.186550674976261, 0.217153936659979,          0.217153936659979, 0.144412947448491, 0.187394625423847         ), PROX_SUPERMARKET = c(0.141741503991008, 0.141741503991008,          0.247977273863763, 0.294310303883692, 0.294310303883692,          0.448117335537485, 0.447507928623339, 0.381194313170787,          0.408205375796458, 0.445162931243089, 0.35798039621586,          0.35798039621586, 0.190547463602814, 0.241122798862169,          0.199099262156692, 0.255147915067147, 0.291549431934698,          0.291549431934698, 0.204623167766534, 0.215556112381702         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 3L, 3L, 3L, 2L,          4L, 0L, 0L, 0L, 6L, 6L, 2L, 6L, 3L, 5L, 2L, 2L, 3L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 5L, 4L, 4L, 6L, 7L, 2L,          2L, 0L, 6L, 6L, 6L, 7L, 5L, 5L, 6L, 6L, 9L, 9L), WITHIN_1KM_PRISCH = c(5L,          5L, 5L, 5L, 5L, 5L, 5L, 4L, 3L, 4L, 3L, 3L, 2L, 2L, 2L,          2L, 2L, 2L, 4L, 4L), DNeighbour = c(0, 11.0409585690747,          123.10873650989, 177.999364317109, 182.222073974675,          390.508176652057, 458.175105927324, 525.043526294823,          546.096333271614, 581.974633894802, 734.582171414324,          744.63721092647, 778.513270453145, 853.852006512881,          879.381374502545, 955.986894286065, 977.989576678629,          984.637081731221, 1002.9851559859, 1016.33106411858)), row.names = c("914",      "429", "43", "651", "648", "778", "97", "255", "630", "671",      "316", "506", "701", "471", "210", "84", "482", "940", "971",      "211"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999763980694343,      0.970870067207082, 0.939593429726559, 0.936740701894813,      0.726525783058853, 0.634838882774636, 0.537461161596826,      0.505927511515569, 0.4517221702279, 0.22809348839855, 0.21454672527239,      0.170766024695101, 0.0865410630522396, 0.0631722323554254,      0.0132765028261337, 0.00548008232303629, 0.00376958182291427,      0.000680713133215186, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7851834181 
R squared (OOB):                  0.5453588 

$Forests[[915]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 303888, 338000,      355000, 293000, 315000, 325000, 340000, 340000, 320000, 362000,      336000, 370000, 348000, 416000, 370000, 380000, 380000, 360000,      370000), floor_area_sqm = c(90, 90, 94, 94, 86, 87, 90, 90,      102, 91, 94, 90, 95, 95, 93, 93, 93, 93, 93, 93), storey_order = c(5L,      5L, 2L, 4L, 1L, 5L, 4L, 4L, 2L, 1L, 4L, 2L, 5L, 1L, 6L, 1L,      2L, 2L, 2L, 4L), remaining_lease_mths = c(998, 1008, 1076,      1070, 1006, 1004, 973, 1011, 968, 980, 976, 966, 977, 968,      1132, 1125, 1132, 1136, 1135, 1142), PROX_CBD = c(18.976831626196,      19.0279685600245, 18.893500205596, 18.9417612550563, 18.9558501171738,      18.9558501171738, 18.5353901232527, 18.5954829873069, 18.6342583478867,      18.4122801485573, 18.3273029006797, 18.263890012402, 18.2449080671561,      18.0323194354466, 18.2305685201872, 18.2305685201872, 18.1279148711176,      18.1376577985599, 18.1376577985599, 18.1918996486136), PROX_ELDERLYCARE = c(3.28231449363414,      3.26154359027314, 3.10102691254995, 3.09832013994742, 3.04148171914245,      3.04148171914245, 3.18651864771223, 3.21245115339435, 2.72992435028626,      3.05606256580079, 2.7120525382807, 2.93603771613334, 2.54228790651909,      2.88259030935981, 2.5602844754638, 2.5602844754638, 2.51087611030153,      2.49441526227585, 2.49441526227585, 2.49884668013329), PROX_HAWKER = c(0.923592674397851,      0.990561993667382, 0.926259022488312, 0.981837341088666,      1.03425383708264, 1.03425383708264, 0.491879726860981, 0.468862715548992,      0.947673142820091, 0.284310921582288, 0.729165861663657,      0.135415800319106, 0.859760115655931, 0.459055170630849,      0.555435817196439, 0.555435817196439, 0.487567663506197,      0.528296501129656, 0.528296501129656, 0.600683099416637),          PROX_MRT = c(0.822784932057268, 0.880588410111357, 0.777214903782309,          0.831940647091921, 0.87145727172961, 0.87145727172961,          0.375479822529604, 0.485913485771313, 0.717283111076423,          0.34633408104891, 0.470919202147399, 0.269488316579814,          0.597257652192269, 0.228324090957444, 0.810957189319413,          0.810957189319413, 0.74928998522808, 0.789676869843372,          0.789676869843372, 0.859544339931905), PROX_PARK = c(1.4431849310919,          1.5140651316136, 1.53153013283021, 1.58031197441792,          1.64892029001525, 1.64892029001525, 1.15334089580929,          0.966363588730214, 1.68545701841371, 0.872887750975024,          1.51959638840156, 0.826451671225411, 1.66089445329223,          1.25712692932115, 0.269300347674678, 0.269300347674678,          0.317511189836545, 0.276326305891841, 0.276326305891841,          0.210024151789668), PROX_GOOD_PRISCH = c(9.32093903042593,          9.37202430611723, 9.23793284137011, 9.2863930262578,          9.30119351841798, 9.30119351841798, 8.87993213136606,          8.94334048589707, 8.98296462693421, 8.76068312560123,          8.6741083827629, 8.61262144573917, 8.59525181849715,          8.37645219680457, 8.60245346442475, 8.60245346442475,          8.49670627721454, 8.50873818737911, 8.50873818737911,          8.56698720173726), PROX_MALL = c(0.897736377807805, 0.951179576311185,          0.833273819621717, 0.886414086630636, 0.918650450187965,          0.918650450187965, 0.460655941356388, 0.594166870248601,          0.719594778264249, 0.458641270318743, 0.437943127987326,          0.374925429890344, 0.537890109309282, 0.12060760008054,          0.89702383385846, 0.89702383385846, 0.819155488013484,          0.814982856398022, 0.814982856398022, 0.849415447505653         ), PROX_CHAS = c(0.237819060284531, 0.184556275618948,          0.143741090403558, 0.0880613138842689, 0.067384164825537,          0.067384164825537, 0.165734202429707, 0.186588167457245,          0.294409401108374, 0.182706372800723, 0.319053536773146,          0.0541347282504724, 0.274147949012332, 0.120607657412939,          0.080524556228062, 0.080524556228062, 0.0462043949149095,          0.0547102897319272, 0.0547102897319272, 0.110754204684376         ), PROX_SUPERMARKET = c(0.322795161753339, 0.3125742651816,          0.218188374485768, 0.175726554209016, 0.102761308178796,          0.102761308178796, 0.167679568764744, 0.195869762300225,          0.247755307750907, 0.182706945219403, 0.198027823348086,          0.0541355525390397, 0.161035318973668, 0.119017844673248,          0.512175097136782, 0.512175097136782, 0.467157902200199,          0.504768063926141, 0.504768063926141, 0.565642852259794         ), WITHIN_350M_KINDERGARTEN = c(3L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 1L, 2L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 2L, 4L, 4L, 4L, 4L,          7L, 4L, 4L, 7L, 6L, 5L, 4L, 4L, 3L, 3L, 3L, 2L, 2L, 2L         ), WITHIN_350M_BUS = c(9L, 6L, 8L, 8L, 8L, 8L, 12L, 10L,          5L, 12L, 12L, 11L, 9L, 14L, 7L, 7L, 10L, 10L, 10L, 6L         ), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 5L,          5L, 4L, 5L, 5L, 4L, 5L, 4L, 2L, 2L, 2L, 2L, 2L, 2L),          DNeighbour = c(0, 71.6566054147067, 179.307199849033,          184.019934153024, 255.105387346098, 257.401014135597,          452.710709328726, 507.220993984421, 561.038991274548,          666.016702391956, 736.354005368509, 797.785465532291,          891.783305891207, 951.872822370333, 1191.51873700905,          1196.34509142629, 1212.54324046006, 1235.47818816552,          1246.57177756509, 1256.84875803393)), row.names = c("915",      "570", "745", "932", "951", "52", "838", "901", "7", "722",      "873", "548", "5", "354", "401", "770", "461", "285", "378",      "600"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.993509621701957,      0.959708154289345, 0.957585574594909, 0.919301805196418,      0.917874144910184, 0.757351634449307, 0.700794608082334,      0.641184603837423, 0.517242039600037, 0.431323967158893,      0.356518514830193, 0.246566173103481, 0.18183647864416, 0.0102529000763192,      0.00882866507430535, 0.0047969326453496, 0.00113686828460708,      0.000265256846301744, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       651599729 
R squared (OOB):                  0.2463104 

$Forests[[916]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(685000, 755000, 750000,      840000, 825000, 820000, 552000, 620000, 408000, 805000, 472000,      530000, 688000, 810000, 745000, 4e+05, 580000, 795888, 438888,      530000), floor_area_sqm = c(85, 90, 90, 87, 87, 87, 100,      102, 84, 104, 84, 111, 85, 90, 90, 92, 100, 95, 80, 118),          storey_order = c(4L, 5L, 11L, 14L, 5L, 9L, 1L, 3L, 6L,          3L, 2L, 1L, 4L, 10L, 7L, 1L, 4L, 7L, 4L, 2L), remaining_lease_mths = c(1038,          1038, 1035, 1141, 1136, 1136, 910, 908, 647, 919, 799,          767, 964, 1045, 1057, 555, 1013, 1140, 601, 594), PROX_CBD = c(4.89531124268982,          4.88070069409732, 4.88070069409732, 4.70219035054856,          4.59114385332588, 4.59114385332588, 4.64904487497998,          4.95292174150019, 5.38657645344473, 4.1456930527125,          4.27761841825855, 4.3501519248406, 3.98134497452694,          5.99670752478149, 6.0390103189171, 5.99479776583207,          4.79843685927635, 6.26284978479934, 3.37234644442932,          6.1023364257416), PROX_ELDERLYCARE = c(0.307888742732217,          0.312658206579851, 0.312658206579851, 0.200702517977741,          0.125633226962327, 0.125633226962327, 0.374326446996408,          0.0718437191527097, 0.465891927060243, 0.45180890917037,          0.0937624362906392, 0.203630745919553, 0.168717999980802,          0.788986586736525, 0.798119493593788, 0.420516157550055,          0.72206466606869, 0.69800247969724, 0.401810150563083,          0.14668864145384), PROX_HAWKER = c(0.546104933523636,          0.595417483526792, 0.595417483526792, 0.646528219825606,          0.762382071136897, 0.762382071136897, 0.28049665267082,          0.126776661941161, 0.351855498276287, 0.668394095052703,          0.566432501893156, 0.509657348502929, 0.262344394473714,          0.199496524550099, 0.151348144296069, 0.295460487376037,          0.669525197575465, 0.130331819855385, 0.449139985411189,          0.107292567178633), PROX_MRT = c(0.275254866694397, 0.314337158810329,          0.314337158810329, 0.491479629856663, 0.586728793826683,          0.586728793826683, 0.763812758173444, 0.804865461788644,          0.675587286197546, 0.413017272318271, 0.40356540460373,          0.533693046359433, 0.310254962870727, 0.226103982865864,          0.225262429159589, 0.305306521480229, 1.13446368103879,          0.132116935816272, 0.537190991659238, 0.649340944892975         ), PROX_PARK = c(1.60860995669454, 1.53366372097489,          1.53366372097489, 1.77379186206272, 1.65596921250538,          1.65596921250538, 1.08394438059851, 0.908868407872405,          1.05249384295472, 1.16828897329218, 1.11098670131371,          0.941534540217125, 0.894232249415992, 0.97332058707081,          0.921128796109604, 0.990750186553446, 0.279857584881724,          0.742212481577902, 0.408351250353425, 0.711925115709351         ), PROX_GOOD_PRISCH = c(2.96671225712824, 3.0451226436528,          3.0451226436528, 2.79995758206102, 2.86977258716747,          2.86977258716747, 3.57098970158234, 3.66355651606602,          3.52335384407219, 3.20846684942761, 3.63213704613537,          3.77462248476967, 3.868083844602, 2.41026804261554, 2.45094763896652,          2.01228232098645, 4.40925832010736, 2.39901634170637,          3.70512913004722, 1.64363723354824), PROX_MALL = c(0.696065710972082,          0.63262312230698, 0.63262312230698, 0.970860317849455,          0.992224857230604, 0.992224857230604, 0.528365937160055,          0.209686974260184, 0.184401966361696, 1.18405339004253,          0.890632544268956, 0.812522711759855, 1.18273225000282,          1.14826594162738, 1.15586968043917, 0.848644658978131,          0.830412122132217, 0.965908348364742, 0.743612757274357,          0.58741271025502), PROX_CHAS = c(0.22404402777184, 0.278004299073392,          0.278004299073392, 0.0639130956899198, 0.156405874770629,          0.156405874770629, 0.251376462502101, 0.176171654931402,          0.131272369045618, 0.401816380076581, 0.116543108560641,          0.237239443458304, 0.145112311632742, 0.157172829578474,          0.103484302768675, 0.262677718190406, 0.120011087306801,          0.0879111496245458, 0.499618186459994, 0.142011209366223         ), PROX_SUPERMARKET = c(0.224044642536509, 0.278004958714438,          0.278004958714438, 0.0639125072278545, 0.156405662038775,          0.156405662038775, 0.311533400888457, 0.176171398022836,          0.182486832055582, 0.431453687618191, 0.205058734443685,          0.125937465506006, 0.252387257990654, 0.212384620357781,          0.198926203527595, 0.3581952061826, 0.0907294343182455,          0.0879117778441782, 0.499617451823641, 0.585686837888717         ), WITHIN_350M_KINDERGARTEN = c(5L, 5L, 5L, 2L, 0L, 0L,          0L, 2L, 1L, 1L, 0L, 0L, 1L, 3L, 3L, 1L, 0L, 2L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 5L, 5L, 4L, 3L, 3L,          2L, 1L, 1L, 1L, 5L, 5L, 3L, 3L, 3L, 1L, 2L, 3L, 2L, 2L         ), WITHIN_350M_BUS = c(9L, 8L, 8L, 7L, 7L, 7L, 12L, 7L,          8L, 7L, 14L, 13L, 12L, 10L, 9L, 8L, 6L, 5L, 8L, 5L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,          1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L), DNeighbour = c(0,          72.8998230866017, 75.2966077408247, 288.76768442302,          349.707457597915, 353.310159363283, 621.85026635088,          705.899953244729, 745.186785340877, 748.42085236394,          829.262232034717, 917.188103788423, 1167.22891720383,          1229.15067479162, 1255.00945710713, 1428.91857800412,          1442.00243935815, 1504.18473890351, 1539.07010105942,          1747.00756234917)), row.names = c("916", "982", "39",      "854", "333", "768", "140", "216", "130", "320", "709", "348",      "375", "379", "832", "413", "610", "562", "69", "18"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.996520513945222, 0.996288173407205, 0.946103088451187,      0.921465449838648, 0.919872923184755, 0.762650105502031,      0.700123167911963, 0.669213575596488, 0.666626625680717,      0.600133555502416, 0.524711187673512, 0.306474870963036,      0.255007180900579, 0.23419305983611, 0.109561736469482, 0.101565659035196,      0.0669090995403386, 0.0501235683973307, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10523498148 
R squared (OOB):                  0.5462452 

$Forests[[917]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(520000, 575000, 580000,      565000, 548888, 580000, 540000, 510000, 495000, 380000, 403500,      540000, 475000, 505000, 5e+05, 376000, 505000, 382000, 374000,      380000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 93,      93, 90, 90, 90, 90, 90, 92, 102, 92, 86, 103, 92), storey_order = c(1L,      4L, 4L, 3L, 2L, 4L, 4L, 3L, 3L, 4L, 5L, 3L, 5L, 6L, 3L, 5L,      4L, 2L, 2L, 1L), remaining_lease_mths = c(1138, 1137, 1140,      1127, 1130, 1134, 1075, 1076, 1076, 973, 965, 1067, 1031,      1033, 1049, 944, 1051, 989, 862, 1037), PROX_CBD = c(11.6952918230505,      11.6525204845234, 11.6525204845234, 11.6525204845234, 11.7494815193957,      11.7494815193957, 11.8019303594103, 11.734228152501, 11.7824349405223,      11.9491294576901, 12.0682850666201, 11.5237533038112, 11.780035597066,      11.6571985599938, 11.4975151935682, 11.9885535057438, 11.4388659085475,      12.3082954752684, 11.0478583208432, 11.6419253241709), PROX_ELDERLYCARE = c(0.0818897866131208,      0.090696724945174, 0.090696724945174, 0.090696724945174,      0.0736890817471424, 0.0736890817471424, 0.184707688528033,      0.217445500321488, 0.213047345375207, 0.351349913726565,      0.36227142211874, 0.374021376468387, 0.389019901488026, 0.400746835300904,      0.485429735975203, 0.468647269590137, 0.529438756707198,      0.583230122785789, 0.694826263841934, 0.626216066088841),          PROX_HAWKER = c(0.374319678668878, 0.325622570567264,          0.325622570567264, 0.325622570567264, 0.418792449609449,          0.418792449609449, 0.425288384889406, 0.366555491930585,          0.411134055372247, 0.693645859237657, 0.732401821736703,          0.235307086042243, 0.475091880549249, 0.38372613736418,          0.320302217757218, 0.661637750611862, 0.319632581294072,          0.732610931237137, 0.33156405975617, 0.553081930127745         ), PROX_MRT = c(0.18359152527436, 0.219824289848129,          0.219824289848129, 0.219824289848129, 0.183595482094196,          0.183595482094196, 0.341923672362566, 0.276453864170284,          0.323171872402698, 0.207404211118571, 0.353072027979069,          0.148196296616071, 0.149757666469573, 0.187661086924798,          0.24936700359253, 0.253577460439113, 0.264110896255266,          0.348338435446781, 0.413251174688675, 0.168432978085695         ), PROX_PARK = c(1.23082333360032, 1.18955170998222,          1.18955170998222, 1.18955170998222, 1.25382465781663,          1.25382465781663, 1.09015045463689, 1.00928973198994,          1.04913519120928, 1.42337349535551, 1.2554933111164,          0.808531626238996, 0.915827670442916, 0.822874314333037,          0.698336840868775, 0.965214735166117, 0.653351036954048,          1.248380402738, 0.855372307789476, 0.654970873229416),          PROX_GOOD_PRISCH = c(2.35260315569007, 2.3279627535371,          2.3279627535371, 2.3279627535371, 2.40225451049103, 2.40225451049103,          2.57167610218627, 2.54247396470066, 2.5757070458522,          2.48771655129493, 2.66094910730305, 2.43173748992112,          2.67648686403773, 2.58492752090912, 2.48345794754568,          2.84793008582659, 2.45055199705462, 2.82059786507503,          1.96973866183315, 2.71543842399088), PROX_MALL = c(0.785373664552542,          0.807719243520252, 0.807719243520252, 0.807719243520252,          0.730910693989521, 0.730910693989521, 0.70263709534569,          0.781937846313192, 0.732391369928616, 0.591401580344059,          0.424043071559413, 0.840908486660855, 0.657761426948524,          0.718523422751835, 0.805279144871904, 0.581599658792334,          0.840491697823826, 0.312386349772529, 0.400154220571097,          0.576398809288588), PROX_CHAS = c(0.141926234339659,          0.162428164506486, 0.162428164506486, 0.162428164506486,          0.105514964386053, 0.105514964386053, 0.144895120017984,          0.203102352137365, 0.182294192745256, 0.136369833447508,          0.0850792531740411, 0.0822817354855642, 0.165734916528407,          0.162236141473446, 0.18789773503711, 0.0548782345589675,          0.210772889992189, 0.200650927390068, 0.193330180912365,          0.118628580179885), PROX_SUPERMARKET = c(0.137537075296593,          0.158766807317564, 0.158766807317564, 0.158766807317564,          0.100761764224213, 0.100761764224213, 0.149354766345577,          0.206717744357565, 0.186528474083994, 0.234851160706955,          0.0850782630125017, 0.113409172087645, 0.328761363845442,          0.248678179468178, 0.186124684843571, 0.41771106664497,          0.189609627596398, 0.200651971059786, 0.392366955335671,          0.0879874709963817), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 5L, 5L, 7L, 8L, 8L, 6L, 5L, 4L, 9L, 8L, 4L, 6L,          4L, 4L, 2L, 6L), WITHIN_350M_BUS = c(13L, 11L, 11L, 11L,          14L, 14L, 13L, 10L, 11L, 12L, 12L, 5L, 8L, 9L, 8L, 14L,          7L, 8L, 7L, 8L), WITHIN_1KM_PRISCH = c(6L, 6L, 6L, 6L,          6L, 6L, 6L, 5L, 7L, 7L, 7L, 4L, 6L, 5L, 4L, 7L, 5L, 6L,          6L, 5L), DNeighbour = c(0, 41.4089394930944, 41.4091137467462,          42.1918970664914, 59.942609325205, 62.7488984098589,          268.734891429429, 292.495541302767, 296.921688278767,          321.631898408877, 377.034045817639, 424.987877604075,          467.237993680264, 473.276661471237, 536.809614339654,          554.7977141345, 571.732065972338, 649.300498186006, 679.821483650955,          690.817150906697)), row.names = c("917", "580", "792",      "557", "808", "281", "342", "409", "260", "175", "860", "652",      "263", "977", "553", "486", "271", "231", "694", "421"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.992826830898512, 0.992826770635973, 0.992553518403724,      0.984998418517527, 0.983566855181862, 0.720242626237529,      0.673594575758556, 0.664651169805645, 0.613454840315503,      0.492978688416032, 0.386304521744385, 0.29435313457892, 0.281581241343111,      0.156951040925011, 0.126042516129471, 0.0992564938824457,      0.0135918342934481, 0.00099732492149696, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2300557811 
R squared (OOB):                  0.5997227 

$Forests[[918]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(392000, 388000, 375000,      363000, 417000, 340888, 355000, 320000, 335000, 343000, 3e+05,      335000, 335000, 315000, 297000, 325000, 314000, 330000, 333000,      415000), floor_area_sqm = c(113, 104, 108, 104, 92, 107,      104, 91, 114, 107, 106, 105, 90, 90, 90, 90, 91, 91, 108,      104), storey_order = c(2L, 6L, 2L, 5L, 2L, 4L, 4L, 8L, 3L,      2L, 2L, 2L, 3L, 5L, 2L, 5L, 3L, 1L, 4L, 2L), remaining_lease_mths = c(933,      904, 909, 918, 1120, 883, 882, 995, 904, 907, 941, 938, 979,      1001, 995, 992, 985, 987, 895, 875), PROX_CBD = c(16.6579104452557,      16.3777502460772, 16.9875722318911, 16.295166477654, 16.7161737209409,      16.7669966667855, 16.7669966667855, 16.7093180086981, 16.3642048862006,      17.2160129653012, 17.3741762112269, 17.3741762112269, 17.0600275230943,      16.8082045368238, 16.901501451739, 17.2610384590751, 17.0716695500607,      17.2817356498826, 16.5397910410307, 15.8781143296649), PROX_ELDERLYCARE = c(0.409372351007212,      0.465083314136851, 0.636322412867891, 0.514795208711411,      9.26628957858198e-07, 0.121542639162494, 0.121542639162494,      0.935779967581661, 0.361422596457277, 0.574386357445605,      0.815153211361198, 0.815153211361198, 1.09431476347566, 1.15380285023885,      1.16689850532437, 1.12094638660826, 1.21621641692937, 1.19353475005496,      0.706939892416911, 0.633288957745621), PROX_HAWKER = c(1.80129318596364,      1.54627052523026, 2.10596394293278, 1.47281657351752, 1.96687058888139,      2.05474291859885, 2.05474291859885, 1.82495077083007, 1.67761333691466,      2.37357884684332, 2.50067722531469, 2.50067722531469, 2.18272534115171,      1.94950915107796, 2.0413146444202, 2.37726799660773, 2.2102134433082,      2.40388099430384, 2.14655926815246, 1.79301822351461), PROX_MRT = c(0.128609360773056,      0.419412974707088, 0.252669932820992, 0.504795745143921,      0.427108887982576, 0.53300655679357, 0.53300655679357, 0.522077155701705,      0.653367521351592, 0.453815632281196, 0.590831178240684,      0.590831178240684, 0.673816738147829, 0.730447684580082,      0.740013435080822, 0.729621307242001, 0.793158171270894,      0.797812759521718, 0.460645764817668, 0.159697283923578),          PROX_PARK = c(0.826869373992433, 0.571339732684777, 1.18807543108152,          0.48638578612152, 0.688779163701323, 0.722711239268322,          0.722711239268322, 1.17885821480356, 0.32735774848914,          1.24959985284921, 1.47164498360674, 1.47164498360674,          1.5130077643247, 1.39545287332227, 1.46267930314228,          1.64853798443183, 1.59669720594139, 1.70244245234235,          0.711243459523284, 0.678969217742802), PROX_GOOD_PRISCH = c(7.18541951227303,          6.89348817522951, 7.55033959010056, 6.80828229467371,          7.12110535783693, 7.13952904562396, 7.13952904562396,          7.40748446052123, 6.76031366250815, 7.68034428555912,          7.888904100652, 7.888904100652, 7.76907239486735, 7.5739079893598,          7.66085245964853, 7.93716312588154, 7.82238149093771,          7.98012169831377, 6.77397603493671, 6.09357654169244),          PROX_MALL = c(0.168053149288668, 0.427317836890542, 0.165557901737932,          0.510483215269896, 0.337595745740984, 0.27529824968273,          0.27529824968273, 0.484270435079706, 0.388175183991252,          0.413606644895247, 0.521008948961951, 0.521008948961951,          0.597930181439745, 0.677813655888015, 0.678684538412688,          0.644198936007264, 0.719585865775528, 0.713200150273906,          0.345326846187852, 0.145699923430919), PROX_CHAS = c(0.170995488718356,          0.429996386722335, 0.194474796894964, 0.513107963149175,          0.279591917356114, 0.222759343861358, 0.222759343861358,          0.52365796939069, 0.380772978950647, 0.303266380929536,          0.524369302913132, 0.524369302913132, 0.638199243310692,          0.71936188995133, 0.720584477651296, 0.678651577140463,          0.760340467100735, 0.748586514709626, 0.286223989121013,          0.0723222156351423), PROX_SUPERMARKET = c(0.103652200866821,          0.386156989530241, 0.284398337107734, 0.471223408024363,          0.344537051235884, 0.243987988302975, 0.243987988302975,          0.555366708418936, 0.422789252098693, 0.387759857324111,          0.559408220033625, 0.559408220033625, 0.718466194952364,          0.768274584157999, 0.780695486504835, 0.771245719522698,          0.837223205851576, 0.842475689687135, 0.377165028023417,          0.157892159590583), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 1L, 0L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          0L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 3L,          4L, 3L, 6L, 5L, 5L, 1L, 4L, 5L, 4L, 4L, 2L, 1L, 1L, 3L,          2L, 3L, 1L, 3L), WITHIN_350M_BUS = c(9L, 8L, 11L, 7L,          12L, 11L, 11L, 8L, 6L, 5L, 2L, 2L, 7L, 9L, 7L, 5L, 5L,          5L, 2L, 7L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 3L, 4L,          3L, 3L, 3L, 3L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 3L,          3L), DNeighbour = c(0, 289.094802323674, 371.688844584245,          375.069742722766, 405.950543503037, 526.019866263614,          529.751917676441, 535.387532413212, 560.394701153415,          572.285114687249, 723.790632618156, 724.50342987837,          750.710666802618, 755.782445733434, 786.778447005262,          833.354508775152, 865.012327502413, 896.302361197407,          1088.422146542, 1447.94983497138)), row.names = c("918",      "820", "125", "451", "261", "673", "898", "156", "252", "326",      "813", "822", "208", "121", "416", "525", "431", "127", "498",      "510"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.921862432014278,      0.872552275748903, 0.870303992761838, 0.84897239790859, 0.753464451101733,      0.750205321618365, 0.745253757532203, 0.722858106803567,      0.711976079227672, 0.562690901343001, 0.561952422394424,      0.534645404497746, 0.529329224063752, 0.496664924459618,      0.447229969304442, 0.413587108022009, 0.380467765245645,      0.189180564059726, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       601619990 
R squared (OOB):                  0.5100819 

$Forests[[919]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(412000, 367000, 418000,      4e+05, 4e+05, 428000, 420000, 420000, 4e+05, 416000, 433000,      362000, 370000, 390000, 423888, 395000, 365000, 415000, 292000,      258000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 84, 84), storey_order = c(5L,      1L, 5L, 2L, 3L, 4L, 3L, 5L, 2L, 4L, 4L, 1L, 1L, 2L, 5L, 2L,      1L, 5L, 1L, 1L), remaining_lease_mths = c(1144, 1137, 1138,      1137, 1143, 1140, 1144, 1143, 1130, 1140, 1130, 1135, 1146,      1139, 1136, 1146, 1137, 1144, 761, 781), PROX_CBD = c(16.0903666266177,      16.0903666266177, 16.0903666266177, 16.0475930141239, 16.0475930141239,      16.1831859860721, 15.9392575628934, 16.1537572283104, 16.1976566517324,      16.055983361932, 16.055983361932, 15.9297907572658, 15.87024444961,      16.0085061296439, 15.9500375777464, 16.0046521285213, 16.0046521285213,      15.9533618390172, 16.3662877971208, 16.1631400386504), PROX_ELDERLYCARE = c(0.179967723198436,      0.179967723198436, 0.179967723198436, 0.129564145964732,      0.129564145964732, 0.0701319802482612, 0.0436662178849567,      0.0462823216560119, 9.89208662673193e-07, 0.146417557277997,      0.146417557277997, 0.0463608633689567, 0.10693627682917,      0.133825008100465, 0.0923316964070077, 0.20718686492254,      0.20718686492254, 0.251148223850536, 0.177020457931737, 0.194171564025932     ), PROX_HAWKER = c(0.9143232220583, 0.9143232220583, 0.9143232220583,      0.872301448799324, 0.872301448799324, 1.00994702859189, 0.765854363537175,      0.986028325459381, 1.03146250928298, 0.897672222950446, 0.897672222950446,      0.768716574287481, 0.694651515851724, 0.86073340068049, 0.798502368740115,      0.855932206484513, 0.855932206484513, 0.802087399746937,      1.20613696965479, 1.03995728027003), PROX_MRT = c(1.13213387762555,      1.13213387762555, 1.13213387762555, 1.14436247830993, 1.14436247830993,      1.08237519657155, 1.14464062157712, 1.02112351286352, 1.02706758196582,      0.936151237003446, 0.936151237003446, 1.23034399571509, 1.09555222562317,      1.31406230168452, 1.27956490520873, 0.883219311345816, 0.883219311345816,      0.8851452059773, 1.07002489239586, 0.842728374229233), PROX_PARK = c(0.83568858459355,      0.83568858459355, 0.83568858459355, 0.824988291997923, 0.824988291997923,      0.848434833813522, 0.777956069134633, 0.793519520304926,      0.822565203699192, 0.683762717294504, 0.683762717294504,      0.846978318526899, 0.707790886000148, 0.947603217866828,      0.8970097589344, 0.619767633008914, 0.619767633008914, 0.589052524814441,      0.840406553837571, 0.707513815343702), PROX_GOOD_PRISCH = c(6.70919168347838,      6.70919168347838, 6.70919168347838, 6.67335529701902, 6.67335529701902,      6.78038310261662, 6.57394481891556, 6.74044920052795, 6.78043949525415,      6.63421015362065, 6.63421015362065, 6.58539462985877, 6.49806658702102,      6.67823761190993, 6.61604918176311, 6.57618460349959, 6.57618460349959,      6.52939634907869, 6.93507101526025, 6.70927938580052), PROX_MALL = c(0.311149009276151,      0.311149009276151, 0.311149009276151, 0.339403259296736,      0.339403259296736, 0.241735562355662, 0.391567182053879,      0.180580587241737, 0.189710317758296, 0.118546137622893,      0.118546137622893, 0.478634609766659, 0.388975340293238,      0.528820301792356, 0.517477751202279, 0.110811660449771,      0.110811660449771, 0.161178852361569, 0.298590834338171,      0.0870960802892481), PROX_CHAS = c(0.215238065300109, 0.215238065300109,      0.215238065300109, 0.16574506375663, 0.16574506375663, 0.148113838308576,      0.0895372628546906, 0.0922372285822684, 0.0868060808909073,      0.110329053122027, 0.110329053122027, 4.95402698497433e-08,      0.140210421841136, 0.104680199868824, 0.0505118784777886,      0.114687044901222, 0.114687044901222, 0.165813590617473,      0.209004221202181, 0.081875317774622), PROX_SUPERMARKET = c(0.316789996913415,      0.316789996913415, 0.316789996913415, 0.344658205065017,      0.344658205065017, 0.247969406526707, 0.354688671920554,      0.186806037215644, 0.195853508350489, 0.123371553336512,      0.123371553336512, 0.427887094284235, 0.287679129281494,      0.525839072677995, 0.47836894165083, 0.112847248683738, 0.112847248683738,      0.162291812321236, 0.303085580417471, 0.0873208554119548),          WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          1L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L, 2L, 2L, 7L,          3L, 8L, 8L, 3L, 3L, 5L, 4L, 2L, 4L, 3L, 3L, 3L, 8L, 6L         ), WITHIN_350M_BUS = c(8L, 8L, 8L, 9L, 9L, 7L, 9L, 7L,          7L, 7L, 7L, 7L, 8L, 7L, 7L, 7L, 7L, 8L, 5L, 11L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 3L, 4L, 3L, 3L,          5L, 5L, 5L, 4L, 5L), DNeighbour = c(0, 1.61598924911411,          4.73456806760071, 45.6666413932527, 46.755668003516,          128.742724698718, 156.744868140541, 163.791407116573,          195.862445125136, 200.760793880117, 204.333369172153,          211.166996033298, 221.900536825578, 228.016511501353,          232.824108927214, 255.828783366661, 258.366393468288,          258.827795559226, 356.238205888598, 358.265980447853)), row.names = c("919",      "161", "249", "440", "28", "661", "517", "869", "427", "538",      "741", "654", "582", "653", "912", "408", "594", "124", "687",      "872"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999959309655232,      0.999650745783629, 0.967768947681922, 0.966226725738893,      0.758410880423111, 0.653810021854414, 0.625662119340364,      0.49157470978587, 0.47057911817488, 0.45523688204176, 0.425875142472084,      0.379919597677067, 0.353951280622124, 0.333710691024515,      0.240194952675645, 0.230333838164312, 0.228552735684957,      0.000127416775602946, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1637234040 
R squared (OOB):                  0.191804 

$Forests[[920]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 330000, 470000,      515000, 582000, 315000, 515000, 550000, 450000, 518000, 638000,      680000, 440000, 630000, 445000, 838000, 650000, 545000, 680000,      760000), floor_area_sqm = c(82, 82, 84, 103, 104, 87, 110,      105, 104, 84, 105, 76, 93, 101, 84, 91, 86, 86, 86, 91),          storey_order = c(5L, 4L, 3L, 3L, 3L, 1L, 1L, 2L, 1L,          3L, 3L, 11L, 3L, 2L, 3L, 12L, 3L, 1L, 3L, 9L), remaining_lease_mths = c(656,          657, 813, 823, 935, 633, 859, 786, 828, 781, 918, 1071,          759, 952, 647, 1106, 1018, 1025, 1025, 1091), PROX_CBD = c(5.9699685911294,          6.06674643703895, 6.30150758144434, 6.41432963568309,          5.4901102241405, 5.88382015009973, 5.31333197008925,          6.4090346428634, 5.12061996426338, 6.59778313634683,          5.24252163748666, 5.17664618337401, 5.4791067318598,          5.76616775136128, 4.82546817648507, 5.38577040159704,          5.26278746968545, 5.19905620756448, 5.19905620756448,          5.4124717534787), PROX_ELDERLYCARE = c(4.28110190953706e-07,          0.10409496222889, 0.0580157957368266, 0.101150617829923,          0.157919913507301, 0.599695566252105, 0.301885421229742,          0.336883008423279, 0.279354008399566, 0.619464736019043,          0.232760622048558, 0.203403853153192, 0.505585511375112,          0.708186986363007, 0.401252043911139, 0.343873602324804,          0.310343810032976, 0.3148233892717, 0.3148233892717,          0.277453528347438), PROX_HAWKER = c(0.247906315943116,          0.346985863757343, 0.511576723994062, 0.639366917684312,          0.258924665495, 0.302293625820731, 0.15027253820603,          0.729024203622067, 0.158729667464322, 1.00589931737343,          0.316098981667774, 0.242990200436355, 0.736115689949186,          0.25612232537118, 0.33634581375869, 0.225377370173431,          0.356302899600742, 0.424686940189847, 0.424686940189847,          0.214745652304629), PROX_MRT = c(1.03854772657135, 1.1005845300218,          0.911216039334219, 0.753240517287136, 1.30755754576723,          0.37771060533367, 0.839256513816073, 0.631935879685516,          1.12797954219589, 0.372865816575034, 0.353807427048722,          0.347215067697513, 0.797555156120123, 0.0934691468297738,          0.437510974512092, 0.452916639575337, 0.321982757522174,          0.253583166891469, 0.253583166891469, 0.525678460826462         ), PROX_PARK = c(0.792968228054446, 0.741200181243785,          0.950460734805334, 0.941128983241434, 0.803347187860442,          1.09766236241216, 0.919693677764514, 0.73120409495038,          1.12857946410316, 0.432673847047101, 0.540897442657821,          0.502895249788983, 0.728040918615253, 1.02675087524374,          0.386749503328341, 0.680409922157526, 0.550000337404237,          0.482110245392283, 0.482110245392283, 0.766524211973089         ), PROX_GOOD_PRISCH = c(1.89588922913119, 1.85819018299306,          1.50990256016426, 1.35156641752108, 2.45379201830723,          1.61186682958131, 2.32631552336422, 1.19038460547274,          2.70116277997296, 0.909917905905181, 2.20280244575696,          2.27859573799937, 2.93310132502147, 1.65694818911091,          2.65585299610189, 2.04281306492033, 2.16237499594262,          2.22494939608982, 2.22494939608982, 2.04167837943161),          PROX_MALL = c(1.25835483053691, 1.22044581333525, 0.872189526609738,          0.713954983197348, 1.21674302842157, 0.966526596905427,          0.752077094160308, 0.56447134405004, 1.02774547618649,          0.324462922438517, 0.315823950773482, 0.285366785950761,          0.719613179783111, 0.834887080030876, 0.337875853585261,          0.513452616263142, 0.38523327442887, 0.31885342913617,          0.31885342913617, 0.636573036587929), PROX_CHAS = c(0.21461630683628,          0.252393584019624, 0.0940735950578242, 0.15014885052256,          0.233242749827373, 0.256579842259861, 0.111194343620761,          0.141339892509329, 0.193072984237221, 0.0558741615176373,          0.0731998871787336, 0.0737889624358689, 0.0706483510319072,          0.143086854941205, 0.315432137833306, 0.180097972613039,          0.188692357663819, 0.211748617283041, 0.211748617283041,          0.208534953207918), PROX_SUPERMARKET = c(0.227231659318009,          0.321431524942613, 0.469210677159174, 0.519047869620273,          0.37596142908425, 0.27867057765081, 0.370675298005651,          0.360911693423373, 0.198191070641627, 0.173430033183904,          0.266280670019211, 0.177322353300672, 0.0706487501399716,          0.318319510093507, 0.0907256678718214, 0.397689630461078,          0.267150206458008, 0.199301193911681, 0.199301193911681,          0.496000676868079), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 2L, 2L, 0L, 1L, 1L, 0L, 1L, 1L, 3L, 1L, 0L, 2L, 0L,          4L, 4L, 4L, 4L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          4L, 4L, 3L, 4L, 3L, 5L, 4L, 3L, 5L, 7L, 2L, 1L, 2L, 7L,          5L, 6L, 6L, 4L), WITHIN_350M_BUS = c(8L, 6L, 7L, 7L,          10L, 8L, 12L, 9L, 9L, 7L, 10L, 9L, 3L, 8L, 8L, 8L, 9L,          9L, 9L, 7L), WITHIN_1KM_PRISCH = c(4L, 5L, 4L, 3L, 3L,          4L, 3L, 3L, 3L, 2L, 4L, 4L, 2L, 4L, 2L, 3L, 3L, 3L, 3L,          3L), DNeighbour = c(0, 108.283700351226, 395.411327224505,          546.237551206036, 574.347235408431, 662.39488210835,          670.46492024353, 720.831134526281, 891.485868994268,          1025.77359006529, 1037.06145041669, 1043.70239843308,          1056.34328798708, 1111.52571473881, 1241.00284901541,          1306.06274717259, 1314.6777868596, 1321.86223305157,          1325.29693318334, 1460.69938965494)), row.names = c("920",      "628", "417", "114", "307", "201", "279", "269", "646", "957",      "472", "897", "802", "430", "288", "116", "199", "533", "181",      "436"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.989039269256239,      0.858812755417102, 0.739869689502006, 0.714690395172173,      0.631004314737605, 0.623020614097311, 0.572252876758681,      0.393776751082662, 0.256894282288848, 0.245950668458632,      0.23956891280156, 0.227544199586517, 0.177197480000883, 0.0773887819463654,      0.0402091673119989, 0.0360773688098556, 0.0327836732282159,      0.0312586899884637, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       13719896588 
R squared (OOB):                  0.3303842 

$Forests[[921]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(330000, 333000, 360000,      345000, 325000, 361000, 325000, 360000, 4e+05, 335000, 328000,      309000, 330000, 348000, 388000, 398000, 445000, 395000, 370000,      368000), floor_area_sqm = c(84, 84, 103, 91, 85, 84, 84,      104, 103, 84, 84, 91, 84, 93, 100, 100, 100, 101, 98, 100     ), storey_order = c(3L, 3L, 1L, 3L, 1L, 4L, 5L, 2L, 3L, 2L,      4L, 2L, 4L, 4L, 4L, 2L, 3L, 4L, 2L, 2L), remaining_lease_mths = c(791,      823, 798, 773, 830, 794, 812, 804, 796, 796, 806, 774, 806,      777, 922, 924, 949, 936, 912, 923), PROX_CBD = c(9.73525531751342,      9.85122377146013, 10.1540744969693, 9.63489497584329, 10.1989356004427,      10.1908965186918, 9.87023127008802, 10.0879656312395, 10.2571858212528,      10.2571858212528, 10.2439629519707, 9.64616581570663, 9.63621863936401,      9.5834162789491, 10.3133134299625, 10.2027088676681, 9.38671442358298,      10.5347600839054, 10.6430674352334, 10.5911430304609), PROX_ELDERLYCARE = c(0.869795033999967,      0.999223533815273, 0.85844301108046, 0.42629854090558, 1.08623091115154,      0.891997547710976, 1.35138892750767, 1.31022889057949, 0.969336561855173,      0.969336561855173, 0.904720646157319, 0.306199433665808,      1.48805339077067, 0.221128007339761, 1.4124150938613, 1.63738856945076,      0.197320443098403, 1.31633228018286, 1.10983952182968, 1.2745451415541     ), PROX_HAWKER = c(0.687117415591119, 0.526313717816828,      0.614574465644474, 0.908741650371918, 0.368744432216956,      0.594526114354717, 0.410023469086153, 0.196699811405185,      0.543600998034675, 0.543600998034675, 0.616195579705155,      0.906506968115566, 0.677896697868769, 0.844035637065003,      0.0623262564011618, 0.264427923442986, 0.671765492644128,      0.259744380023822, 0.494234864614673, 0.314632743063994),          PROX_MRT = c(0.86810604264512, 0.907717901248049, 0.544743966599557,          0.669484450879797, 0.78040997284139, 0.554399001312584,          1.23646610314009, 1.09046737609619, 0.5984056038899,          0.5984056038899, 0.52596302633555, 0.626377719466395,          1.32502198166586, 0.679762822214213, 1.09471398918577,          1.392302848886, 0.671695564859285, 1.15842683571226,          0.91242151857363, 1.14211364891441), PROX_PARK = c(0.452373350223662,          0.510337594738446, 0.578916018382343, 0.197084482081202,          0.808282577864154, 0.61263038213259, 0.375073916060521,          0.604882226694947, 0.690393008756984, 0.690393008756984,          0.626908579085899, 0.106198450905693, 0.202594030185392,          0.171128410914521, 0.826294351272671, 0.728383914708498,          0.409638708762546, 1.00657829367171, 1.09293299728603,          0.997953552798557), PROX_GOOD_PRISCH = c(1.15234422615158,          1.05242409875061, 1.40445923276907, 1.59153495480405,          1.199846441039, 1.40421671412888, 0.706117631385061,          0.87937610392538, 1.38840710840139, 1.38840710840139,          1.44855804010835, 1.71137279935344, 0.53169554186008,          1.81796659730331, 0.993301788551023, 0.689163418131917,          1.96445822173508, 1.12709017589061, 1.4206810513637,          1.15731102426836), PROX_MALL = c(0.907839978504126, 0.756051767526383,          0.685950169481642, 0.873569112263515, 0.663851500718272,          0.685823836221668, 0.445899708163642, 0.441232897113797,          0.638527944164543, 0.638527944164543, 0.644656189163291,          0.808294932987377, 0.564979440463645, 0.812301361871699,          0.450275200033962, 0.12742430838485, 0.704978058880463,          0.464767570965945, 0.220538248250442, 0.441630162720786         ), PROX_CHAS = c(0.116614388177292, 3.39583191183935e-08,          0.170954716034814, 0.454068185577158, 0.0710453772718398,          0.151788880767358, 0.0764125853219005, 0.177420148260447,          0.0819899420632749, 0.0819899420632749, 0.155315138624813,          0.415210445937219, 0.204909081807225, 0.334146331647452,          0.071192987667569, 0.127424254451578, 0.181909444046462,          0.272565000598528, 0.0703959269798554, 0.327465416824022         ), PROX_SUPERMARKET = c(0.458729641056945, 0.350225948243757,          0.171715993026927, 0.717910522287554, 0.00115080458448496,          0.152401712794372, 0.158655939798418, 0.320748009942088,          0.123486578338512, 0.123486578338512, 0.18505229065347,          0.675617328849562, 0.145410708854306, 0.581458245406798,          0.330151298165832, 0.129189539659537, 0.448356351676465,          0.464768447350912, 0.220538485726081, 0.441631117888638         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 2L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 3L, 2L, 1L, 4L, 2L,          5L, 5L, 2L, 2L, 1L, 1L, 3L, 3L, 4L, 6L, 3L, 1L, 2L, 1L         ), WITHIN_350M_BUS = c(10L, 10L, 14L, 5L, 12L, 12L, 8L,          11L, 10L, 10L, 10L, 8L, 7L, 7L, 15L, 13L, 9L, 15L, 13L,          13L), WITHIN_1KM_PRISCH = c(4L, 4L, 5L, 3L, 4L, 6L, 5L,          5L, 5L, 5L, 6L, 4L, 3L, 4L, 4L, 4L, 2L, 4L, 6L, 4L),          DNeighbour = c(0, 161.494745356321, 448.854024478091,          453.831251453094, 466.362721869938, 474.56497317027,          480.916659406563, 506.905033340825, 524.02154267908,          532.484025651019, 537.105310302012, 565.837698497223,          629.820535740841, 687.555196315637, 689.416244193837,          812.959101028643, 879.205195676597, 889.439458762901,          905.482187595176, 948.62902912415)), row.names = c("921",      "129", "560", "273", "967", "447", "755", "292", "494", "591",      "668", "785", "189", "799", "513", "771", "373", "577", "627",      "718"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.94287652408432,      0.602360551714004, 0.59463570062898, 0.575037302066877, 0.562103932697521,      0.552036953293301, 0.510459262906499, 0.482824248613614,      0.469115893786879, 0.461621920833769, 0.415009480659325,      0.312705517102684, 0.225322961665399, 0.222627595756895,      0.0705326658207129, 0.0198840638883867, 0.0146159858020808,      0.00790285366045252, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1100484148 
R squared (OOB):                  0.04657207 

$Forests[[922]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(435000, 448000, 440000,      358000, 425000, 380000, 360000, 441000, 385000, 438000, 432000,      431000, 365000, 425000, 395000, 432000, 393000, 456500, 420000,      450000), floor_area_sqm = c(95, 96, 96, 93, 94, 94, 94, 93,      93, 94, 92, 92, 94, 94, 94, 93, 93, 92, 94, 94), storey_order = c(6L,      9L, 7L, 1L, 5L, 1L, 1L, 6L, 1L, 5L, 6L, 7L, 1L, 6L, 4L, 5L,      2L, 8L, 7L, 7L), remaining_lease_mths = c(1105, 1110, 1108,      1103, 1083, 1107, 1096, 1097, 1134, 1076, 1137, 1138, 1095,      1119, 1113, 1138, 1134, 1144, 1120, 1119), PROX_CBD = c(11.6071858552171,      11.5810624146691, 11.6053344020152, 11.8075546541859, 11.8751655684431,      11.6781560559471, 11.6781560559471, 11.8078122246038, 11.6526890235784,      11.9414743986494, 11.9317097346946, 11.9317097346946, 11.7965908296893,      11.9828723130509, 11.9744040829633, 11.7767430748854, 11.7767430748854,      11.9527102757424, 12.0119641769274, 12.0119641769274), PROX_ELDERLYCARE = c(1.02315858897206,      1.05973522725621, 1.04503450829128, 0.922118515238085, 0.727329111385366,      1.09658820367145, 1.09658820367145, 0.95260617550949, 0.935812608446987,      0.687500817542951, 0.680106913101551, 0.680106913101551,      1.00802268588986, 0.710325725805382, 0.738781707341689, 0.813774711283767,      0.813774711283767, 0.819362766143575, 0.673044116243487,      0.673044116243487), PROX_HAWKER = c(0.193888136950838, 0.226379932511381,      0.210992660312359, 0.209140712961875, 0.145379780608352,      0.34952328079698, 0.34952328079698, 0.262687630178652, 0.34883542271072,      0.147098227142532, 0.161367564791002, 0.161367564791002,      0.337854809554552, 0.20448046373977, 0.217370340361849, 0.340776861445006,      0.340776861445006, 0.27814297307049, 0.222580914455278, 0.222580914455278     ), PROX_MRT = c(0.216093917824789, 0.233016580221366, 0.206803096961617,      0.120215557602138, 0.191731142133254, 0.274140861026222,      0.274140861026222, 0.173777829752023, 0.28284034831035, 0.183575431830776,      0.214149342621172, 0.214149342621172, 0.249549573241666,      0.170867756883987, 0.167322140356011, 0.162476645519961,      0.162476645519961, 0.200702114351669, 0.201095784108649,      0.201095784108649), PROX_PARK = c(0.521580333579447, 0.520771390450273,      0.554363925008431, 0.747098338531098, 0.723512884628395,      0.620391651843957, 0.620391651843957, 0.746013140888617,      0.489736206412745, 0.807374064658721, 0.785212145526225,      0.785212145526225, 0.739061594864021, 0.697136724289492,      0.679906922269617, 0.615413214289157, 0.615413214289157,      0.643017670933737, 0.691047645736797, 0.691047645736797),          PROX_GOOD_PRISCH = c(1.89230283405924, 1.87254500118751,          1.90056431650247, 2.12338877581429, 2.14229157607785,          2.02616945457316, 2.02616945457316, 2.13533890725473,          1.91178525383739, 2.21615815400514, 2.20126444296921,          2.20126444296921, 2.14271827973834, 2.27447890050516,          2.27223739349538, 2.03585243074848, 2.03585243074848,          2.270018309959, 2.29976812492723, 2.29976812492723),          PROX_MALL = c(0.173810560938293, 0.185878129611589, 0.158081786709397,          0.119447773727589, 0.249449426365425, 0.244599870232268,          0.244599870232268, 0.17025857997445, 0.427385274755512,          0.22663965361209, 0.255684281538694, 0.255684281538694,          0.241737870027575, 0.220402811054307, 0.214069216816763,          0.437539575450179, 0.437539575450179, 0.232344363503357,          0.251262654177611, 0.251262654177611), PROX_CHAS = c(0.173810611614792,          0.185878170229198, 0.158081821824728, 0.11944771257822,          0.179410689617013, 0.163903281406512, 0.163903281406512,          0.170258520163124, 0.225869963934761, 0.156140837156126,          0.203726500797623, 0.203726500797623, 0.101692541492014,          0.0995919009989899, 0.0939357367291076, 0.108183414657245,          0.108183414657245, 0.146038815472653, 0.131248018016709,          0.131248018016709), PROX_SUPERMARKET = c(0.1671684124578,          0.177355035948325, 0.148884454693003, 0.119571834445138,          0.179159947933279, 0.19333058996533, 0.19333058996533,          0.168966076328732, 0.225911825558638, 0.236998053946951,          0.217804588957955, 0.217804588957955, 0.17897337633635,          0.230351837454113, 0.22318738818849, 0.108294583955479,          0.108294583955479, 0.237998550380205, 0.261515416493987,          0.261515416493987), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 7L, 2L, 2L, 4L, 3L, 6L, 6L, 6L, 3L, 6L, 7L, 3L,          3L, 5L, 6L, 6L), WITHIN_350M_BUS = c(6L, 7L, 8L, 10L,          6L, 9L, 9L, 11L, 4L, 8L, 8L, 8L, 9L, 7L, 10L, 4L, 4L,          12L, 6L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 4L,          3L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 3L, 3L,          3L), DNeighbour = c(0, 52.7141752584397, 60.0032910745731,          275.920739512665, 296.544512729606, 313.519768835466,          317.540545549728, 317.764194347881, 329.091258491679,          333.479041948767, 336.590259808203, 344.516303291654,          369.571072961889, 384.011573725723, 385.749082566886,          389.857011629348, 391.861141142372, 398.02340446586,          400.350872960019, 404.685938608345)), row.names = c("922",      "182", "158", "724", "250", "644", "954", "439", "309", "781",      "392", "613", "41", "203", "858", "325", "939", "749", "167",      "947"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.96635283879496,      0.956514583512528, 0.286363038323371, 0.214404185860333,      0.159842647404903, 0.147694127755237, 0.147028036771735,      0.114719813508262, 0.103009797969328, 0.0950006901263479,      0.0757670602866766, 0.0275600409306809, 0.00991317648187468,      0.00835363788269748, 0.00517585084567199, 0.00389091257079347,      0.00106640721128238, 0.00045409882547695, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       583647427 
R squared (OOB):                  0.4195219 

$Forests[[923]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(725000, 580000, 640000,      650000, 590000, 580000, 660000, 515000, 620000, 560000, 451000,      520000, 409500, 418000, 446000, 488000, 480000, 385000, 678000,      465000), floor_area_sqm = c(90, 90, 90, 90, 90, 108, 105,      84, 103, 105, 83, 107, 84, 84, 94, 104, 94, 93, 92, 91),          storey_order = c(9L, 1L, 2L, 6L, 2L, 8L, 6L, 4L, 4L,          2L, 8L, 2L, 3L, 3L, 2L, 1L, 6L, 1L, 3L, 2L), remaining_lease_mths = c(995,          1006, 1011, 1011, 996, 760, 748, 804, 742, 913, 604,          892, 807, 804, 723, 776, 725, 772, 1103, 764), PROX_CBD = c(2.61519687417969,          2.65695642963531, 2.65695642963531, 2.65695642963531,          2.69989267302812, 2.26543941452074, 3.5952466633456,          3.75781957676323, 3.79744534670369, 3.91005014077452,          3.63056019358172, 4.23142849537126, 4.20973993763024,          4.20973993763024, 4.45295385586978, 4.16405648472164,          4.50933618399607, 4.25035751849909, 3.93031212371417,          4.28329341592686), PROX_ELDERLYCARE = c(0.386066702151211,          0.3590471791371, 0.3590471791371, 0.3590471791371, 0.352346052518342,          0.404007374923036, 0.354500614782039, 0.582389211118023,          0.296175206272889, 0.449207181019876, 0.124703716495981,          0.272010492111063, 0.156291063754703, 0.156291063754703,          0.645271528549996, 0.434539750657667, 0.665866395733666,          0.411587417191489, 0.159701117649001, 0.4193003334471         ), PROX_HAWKER = c(0.52081126471543, 0.48810855559281,          0.48810855559281, 0.48810855559281, 0.468835135082758,          0.210544550468706, 0.311385334077859, 0.393163811818296,          0.300770398866256, 0.464701711390969, 0.0619655343942362,          0.392124905911543, 0.46881842734995, 0.46881842734995,          0.601904675681234, 0.502732414569621, 0.665007751295857,          0.610932712322496, 0.374782156946409, 0.638679046714181         ), PROX_MRT = c(0.320255480062021, 0.285614625668497,          0.285614625668497, 0.285614625668497, 0.230131940688868,          0.306886682672286, 0.16267041353008, 0.434583879195091,          0.195276091150508, 0.361698258812245, 0.188513622979597,          0.870814763860364, 0.750034220630686, 0.750034220630686,          0.66128766903618, 0.518003091395578, 0.549595780709265,          0.605174310138743, 0.57487373386568, 0.637237645879563         ), PROX_PARK = c(0.427354201328866, 0.426964305014519,          0.426964305014519, 0.426964305014519, 0.41386436288237,          0.0441643212802781, 0.796125682214674, 0.885911587583127,          0.620239922284967, 0.651892034671684, 0.634729277660292,          0.989030190878471, 0.828179073128827, 0.828179073128827,          0.473457593144303, 0.269719137898212, 0.353281501558379,          0.346786980248178, 0.43227753152338, 0.336599362476296         ), PROX_GOOD_PRISCH = c(4.82322880287643, 4.78575462214909,          4.78575462214909, 4.78575462214909, 4.75214496578899,          5.27420554603454, 4.26949140427292, 3.98479480133756,          4.13618512399158, 3.96984616110429, 4.47678155678584,          3.47561641519302, 3.58178441884724, 3.58178441884724,          3.02211493728223, 3.99853475328204, 2.94429219434277,          3.87277035706644, 4.55218800106713, 3.85984302070176),          PROX_MALL = c(0.426721378040506, 0.412388661644518, 0.412388661644518,          0.412388661644518, 0.380876218870723, 0.216535056802411,          0.962766222186716, 1.1081035152608, 1.16769889708728,          1.2652175398851, 0.917363569028491, 1.1888213641646,          1.26743973989934, 1.26743973989934, 0.570379319619026,          1.00998414702412, 0.485349818185599, 0.955673327573223,          1.09934779211931, 0.92062293894618), PROX_CHAS = c(0.297575542785259,          0.260712311456847, 0.260712311456847, 0.260712311456847,          0.202908600866322, 0.146883739415237, 0.0963682910788478,          0.345906079563203, 0.121619853002556, 0.108899254787234,          0.112941217538546, 0.106822211501606, 0.163154212627783,          0.163154212627783, 0.303272176186244, 0.147909276913635,          0.331046161101227, 0.260827480873255, 0.304936065418075,          0.285886541141976), PROX_SUPERMARKET = c(0.470018893217644,          0.447218369070658, 0.447218369070658, 0.447218369070658,          0.44532403657541, 0.186677322210676, 0.269187390315468,          0.128350069204848, 0.191561540751545, 0.115229795891962,          0.0867224629960944, 0.139079920157556, 0.118448079318654,          0.118448079318654, 0.34627255092781, 0.506391752127701,          0.325943517329761, 0.512280309006142, 0.35411008396507,          0.506434284786685), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 0L, 2L, 1L, 1L, 0L,          1L, 0L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          2L, 2L, 2L, 1L, 4L, 4L, 4L, 4L, 5L, 6L, 3L, 3L, 1L, 6L,          1L, 5L, 3L, 4L), WITHIN_350M_BUS = c(3L, 3L, 3L, 3L,          4L, 3L, 6L, 3L, 5L, 5L, 4L, 7L, 7L, 7L, 6L, 5L, 5L, 5L,          5L, 5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 1L, 3L, 0L, 3L, 1L, 3L         ), DNeighbour = c(0, 48.6823241572648, 54.4343049049702,          54.5066071970268, 114.591830837273, 559.778085139656,          1300.94265001272, 1318.74920911067, 1493.54407576247,          1534.69273044843, 1534.86339464368, 1706.35690025825,          1720.20124797921, 1725.9256709587, 1838.19292827381,          1894.54747964756, 1899.91397157689, 1933.36482284327,          1967.02720753568, 1973.40608079901)), row.names = c("923",      "246", "521", "821", "796", "398", "699", "234", "952", "176",      "237", "849", "382", "907", "346", "223", "622", "19", "801",      "747"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998783232755346,      0.998478831997007, 0.998474789877633, 0.99326757426066, 0.845547395069812,      0.319684337203516, 0.306282538895287, 0.182499666934213,      0.156185059563575, 0.156078752801128, 0.0636731510888921,      0.0576739344398126, 0.055266551300665, 0.0175140441250485,      0.00613472065691913, 0.00534296517710608, 0.00161356129154868,      4.16591167037401e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12731372508 
R squared (OOB):                  -0.288489 

$Forests[[924]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 323000, 415000,      320000, 370000, 315000, 565000, 362000, 568000, 420000, 310000,      508000, 423888, 530000, 588000, 331000, 310000, 390000, 268000,      415000), floor_area_sqm = c(105, 104, 93, 105, 92, 104, 92,      92, 92, 92, 84, 92, 92, 92, 92, 107, 104, 92, 84, 92), storey_order = c(3L,      2L, 4L, 3L, 1L, 1L, 5L, 1L, 4L, 3L, 2L, 1L, 5L, 2L, 2L, 2L,      3L, 2L, 3L, 5L), remaining_lease_mths = c(827, 806, 1141,      815, 1146, 807, 1117, 1135, 1117, 1144, 811, 1121, 1136,      1108, 1119, 869, 869, 1139, 822, 1144), PROX_CBD = c(15.6029325535915,      15.5926635355646, 15.719551353229, 15.4421704385289, 15.87024444961,      15.3877172812078, 15.5121102277751, 15.9297907572658, 15.3987887594526,      15.9392575628934, 15.7493840144196, 15.4653265021947, 15.9500375777464,      15.4274201584828, 15.4444506298565, 15.2221855529023, 15.2437764157418,      16.0085061296439, 15.3723771683987, 15.9533618390172), PROX_ELDERLYCARE = c(0.338118814836049,      0.348154483747206, 0.251997184681221, 0.497101135842809,      0.10693627682917, 0.4433955665635, 0.536539272984936, 0.0463608633689567,      0.578356799737993, 0.0436662178849567, 0.392042381698264,      0.595913887497293, 0.0923316964070077, 0.637452860447804,      0.64097589351183, 0.277621781700774, 0.313986883487753, 0.133825008100465,      0.488083454274335, 0.251148223850536), PROX_HAWKER = c(0.432858942767381,      0.438799857473275, 0.543607139892928, 0.380223054122965,      0.694651515851724, 0.342886316384117, 0.396815374523363,      0.768716574287481, 0.294909248784724, 0.765854363537175,      0.617009737136425, 0.380307090885425, 0.798502368740115,      0.365463704587155, 0.396657168515828, 0.252887916114098,      0.306302732963744, 0.86073340068049, 0.473722511855576, 0.802087399746937     ), PROX_MRT = c(1.13678031777592, 1.20427337027458, 1.04322565796881,      1.36083949137777, 1.09555222562317, 1.37085724211185, 0.8698145169005,      1.23034399571509, 0.921278705332003, 1.14464062157712, 0.825478596695925,      0.848209897671344, 1.27956490520873, 0.843485398790606, 0.812282865657068,      1.3991563615676, 1.43926724244883, 1.31406230168452, 1.53295440749368,      0.8851452059773), PROX_PARK = c(0.578149656320062, 0.608584573014238,      0.60075194434184, 0.607675278354181, 0.707790886000148, 0.57859629393417,      0.357009242210065, 0.846978318526899, 0.283836897691409,      0.777956069134633, 0.423881452963658, 0.321827820326955,      0.8970097589344, 0.308677700833154, 0.279663832574521, 0.500874596291267,      0.554495921895103, 0.947603217866828, 0.719474571135727,      0.589052524814441), PROX_GOOD_PRISCH = c(6.24898658848638,      6.25532900137267, 6.34176102939636, 6.14472917023144, 6.49806658702102,      6.09187968106835, 6.0946998605156, 6.58539462985877, 5.98797030068414,      6.57394481891556, 6.32317863359129, 6.04109347904609, 6.61604918176311,      6.00000717285666, 6.01089245018733, 5.9271396376627, 5.96162295702861,      6.67823761190993, 6.12183876163327, 6.52939634907869), PROX_MALL = c(0.60644342729779,      0.657431321444681, 0.460595397283409, 0.860369947035052,      0.388975340293238, 0.900250825960545, 0.577683661914992,      0.478634609766659, 0.692287086677849, 0.391567182053879,      0.340817581482914, 0.62067023459119, 0.517477751202279, 0.657665812567692,      0.640411632029909, 1.02106462402642, 1.03199787585398, 0.528820301792356,      1.02404161156211, 0.161178852361569), PROX_CHAS = c(0.336408570757183,      0.337342861051532, 0.269388612247007, 0.200516789487464,      0.140210421841136, 0.147116034863504, 0.14804241676277, 4.95402698497433e-08,      0.0335692412129841, 0.0895372628546906, 0.347229964463676,      0.114224376246159, 0.0505118784777886, 0.0964991818226865,      0.128062594375949, 0.0544459444778504, 4.60754704120663e-08,      0.104680199868824, 0.183904955535591, 0.165813590617473),          PROX_SUPERMARKET = c(0.338214025323699, 0.403551045123396,          0.219989756424723, 0.291068212048821, 0.287679129281494,          0.236697160290918, 0.237787830949247, 0.427887094284235,          0.352133387221186, 0.354688671920554, 2.98731019421495e-07,          0.284849629955282, 0.47836894165083, 0.324468805261885,          0.312290330939399, 0.0768892314501321, 0.0947293086454089,          0.525839072677995, 0.267991425015023, 0.162291812321236         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 1L, 1L,          1L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 5L, 6L, 4L, 4L,          2L, 5L, 1L, 3L, 5L, 1L, 4L, 2L, 1L, 5L, 4L, 2L, 4L, 3L         ), WITHIN_350M_BUS = c(6L, 6L, 5L, 9L, 8L, 7L, 6L, 7L,          6L, 9L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 7L, 7L, 8L), WITHIN_1KM_PRISCH = c(4L,          2L, 3L, 3L, 4L, 3L, 4L, 3L, 4L, 4L, 6L, 4L, 3L, 4L, 4L,          3L, 3L, 3L, 2L, 5L), DNeighbour = c(0, 69.5398129066393,          139.597895462713, 257.418185663311, 269.889327405821,          297.563623571472, 303.095287209404, 332.684079811953,          337.543871802173, 338.797716427209, 342.690938163624,          353.785709553531, 372.059561583094, 388.825765188645,          399.138003485325, 422.820616603329, 424.378346245333,          432.654600302261, 435.516733014804, 446.772214961494)), row.names = c("924",      "458", "698", "586", "582", "895", "605", "654", "714", "517",      "956", "962", "912", "712", "574", "679", "578", "653", "867",      "124"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.95213348271262,      0.814270748568562, 0.446256626587136, 0.403325065973032,      0.309585702767719, 0.291338919921036, 0.198481427653887,      0.184207925897253, 0.180579094278415, 0.169458878221251,      0.139085145669726, 0.0939362182277109, 0.0588442191337357,      0.0407513385284781, 0.0108882047205565, 0.00955212665241808,      0.00386881025247233, 0.00247517120830033, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2952555029 
R squared (OOB):                  0.7034536 

$Forests[[925]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(425000, 410000, 435000,      420000, 410000, 398000, 4e+05, 373000, 418000, 345000, 365000,      385000, 455000, 3e+05, 465000, 450000, 305000, 330000, 312000,      320000), floor_area_sqm = c(93, 93, 92, 92, 92, 92, 92, 92,      112, 95, 91, 90, 106, 85, 106, 93, 90, 105, 107, 104), storey_order = c(4L,      4L, 4L, 5L, 3L, 2L, 1L, 1L, 5L, 3L, 4L, 3L, 4L, 2L, 2L, 4L,      1L, 1L, 1L, 2L), remaining_lease_mths = c(1126, 1117, 1129,      1134, 1131, 1136, 1127, 1128, 904, 1003, 1061, 1060, 933,      979, 933, 950, 966, 896, 779, 779), PROX_CBD = c(17.3263676504413,      17.3263676504413, 17.2397585888566, 17.2397585888566, 17.2397585888566,      17.26435404508, 17.1731083577317, 17.1731083577317, 17.2048826778539,      17.7047470513727, 17.5974072281911, 17.6242343596777, 17.1634204962367,      18.0119212314593, 17.1401277939721, 17.4336546583772, 18.0816861587931,      17.9794873864528, 16.6890813896757, 16.6890813896757), PROX_ELDERLYCARE = c(0.561119780492452,      0.561119780492452, 0.500148198332671, 0.500148198332671,      0.500148198332671, 0.542806768712765, 0.456899326246073,      0.456899326246073, 0.400468425457175, 0.933045885854195,      0.819477307137174, 0.892136309268664, 0.565792923614884,      1.25793892145158, 0.586863575497558, 0.825709875044437, 1.34637729166943,      1.20397588034421, 0.296144426041885, 0.296144426041885),          PROX_HAWKER = c(0.631285601786086, 0.631285601786086,          0.55990768529081, 0.55990768529081, 0.55990768529081,          0.598096651463893, 0.507233229895407, 0.507233229895407,          0.498365875295267, 1.00938993481846, 0.922900854400271,          0.816419857336687, 0.666841975849823, 1.33204585660377,          0.685044657792881, 0.841716009165303, 1.41733367811242,          0.736691454978467, 0.360513691606501, 0.360513691606501         ), PROX_MRT = c(1.13344401626098, 1.13344401626098, 1.16124452414741,          1.16124452414741, 1.16124452414741, 1.20599959693509,          1.18009183772516, 1.18009183772516, 0.87869292375624,          1.29287496569192, 0.830609903675807, 0.729175757939742,          0.463116738810145, 1.54554013822754, 0.418422993771755,          0.463093751675267, 1.64690112478102, 1.05284557964442,          0.937471590679814, 0.937471590679814), PROX_PARK = c(0.872985599051717,          0.872985599051717, 0.959994438388966, 0.959994438388966,          0.959994438388966, 0.937816003807321, 1.02763138312455,          1.02763138312455, 0.9054780070858, 0.495314460898113,          0.751240825934154, 0.830497330619545, 0.505224516024672,          0.23250554954982, 0.454841043819919, 0.609424449579261,          0.243247600736397, 0.555889077383573, 1.20981147430356,          1.20981147430356), PROX_GOOD_PRISCH = c(6.72174636420399,          6.72174636420399, 6.64012383316355, 6.64012383316355,          6.64012383316355, 6.66937916554136, 6.57664814247058,          6.57664814247058, 6.57740517739392, 7.10206992983331,          6.95474206477502, 6.97273607492461, 6.50789265243056,          7.41905192895776, 6.48254224033906, 6.77374769998522,          7.49669975318446, 7.33264137396139, 6.16175607197734,          6.16175607197734), PROX_MALL = c(0.530342726071102, 0.530342726071102,          0.450738515511335, 0.450738515511335, 0.450738515511335,          0.484724019608978, 0.392080122681935, 0.392080122681935,          0.446026044391999, 0.790613232916467, 0.757845794253982,          0.671391539314818, 0.353588302636786, 0.658794213245526,          0.306862579253759, 0.404491618549369, 0.694568288644574,          0.387548928263219, 0.571849863617429, 0.571849863617429         ), PROX_CHAS = c(0.254413742194056, 0.254413742194056,          0.221318263528924, 0.221318263528924, 0.221318263528924,          0.270084445320348, 0.214971829128206, 0.214971829128206,          0.130380344727655, 0.40646651865696, 0.175468897673469,          0.0497500971788425, 0.171584438209325, 0.166262674114357,          0.133156315003352, 0.260153188296123, 0.119012364389208,          0.324283073315245, 0.332465298200207, 0.332465298200207         ), PROX_SUPERMARKET = c(0.529573977763673, 0.529573977763673,          0.449846933875903, 0.449846933875903, 0.449846933875903,          0.483753219919624, 0.391090025360665, 0.391090025360665,          0.445962312606475, 0.260900811674997, 0.336744227428862,          0.442456788826315, 0.320581809168482, 0.385510043100507,          0.27639551573194, 0.355873580059747, 0.485184742393951,          0.337417678694655, 0.204374831829505, 0.204374831829505         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 3L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 3L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 4L, 4L, 4L,          4L, 4L, 2L, 2L, 3L, 2L, 4L, 3L, 3L, 4L, 3L, 3L, 3L, 3L         ), WITHIN_350M_BUS = c(5L, 5L, 6L, 6L, 6L, 6L, 8L, 8L,          8L, 6L, 6L, 12L, 8L, 9L, 7L, 12L, 8L, 9L, 9L, 9L), WITHIN_1KM_PRISCH = c(3L,          3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L, 4L, 4L, 4L, 4L, 4L,          6L, 3L, 5L, 4L, 4L), DNeighbour = c(0, 2.48008835883346,          93.0607229723052, 95.3084501884545, 98.0990224701971,          102.935833466276, 164.074110462673, 164.774637130509,          270.987139939608, 374.585757863863, 503.22106787842,          639.198877641616, 676.432577920856, 698.526873902895,          721.958861311958, 761.522555728922, 792.015087431637,          812.102612591158, 820.195839772412, 824.255326608832)), row.names = c("925",      "797", "290", "280", "86", "847", "507", "985", "889", "631",      "720", "300", "991", "228", "530", "535", "85", "870", "497",      "328"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999981893320571,      0.974668408711819, 0.973438278016352, 0.971871338147941,      0.969051488371419, 0.922322363316219, 0.921671196843787,      0.795508633117836, 0.629597771076637, 0.393467915663734,      0.158898454199951, 0.106614496884638, 0.0794137447881125,      0.0542017755707774, 0.0214400899996097, 0.00588271091305474,      0.000856753963776735, 9.65466452679899e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2194163498 
R squared (OOB):                  0.1968802 

$Forests[[926]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(480000, 535000, 468888,      688000, 653000, 478000, 5e+05, 745000, 742000, 729999, 682000,      5e+05, 4e+05, 4e+05, 360000, 7e+05, 413888, 363000, 649888,      680000), floor_area_sqm = c(92, 92, 92, 90, 91, 92, 91, 100,      92, 100, 100, 91, 104, 92, 92, 95, 88, 97, 87, 104), storey_order = c(3L,      3L, 3L, 6L, 2L, 4L, 1L, 10L, 7L, 6L, 10L, 2L, 4L, 3L, 2L,      3L, 2L, 4L, 3L, 4L), remaining_lease_mths = c(692, 694, 701,      985, 1121, 716, 690, 1122, 1104, 1122, 1120, 706, 745, 708,      719, 1100, 668, 701, 1103, 806), PROX_CBD = c(9.76973796844692,      9.76973796844692, 9.79963982832759, 9.84174458192399, 9.51816518584724,      9.58813304663833, 10.2183960492338, 9.28682806708392, 9.57467117229508,      9.41601606571959, 9.28682806708392, 10.2657373615824, 9.4187827620762,      10.1748545259067, 10.2629321739313, 7.97001655790022, 7.88501742637481,      12.1013944735855, 7.02256530608061, 10.251706958731), PROX_ELDERLYCARE = c(0.487200680071974,      0.487200680071974, 0.390845215421192, 0.339166460968835,      0.0590206014568566, 0.251441869005946, 0.670964346371623,      0.306248896776786, 0.0836678964153836, 0.14515851054369,      0.306248896776786, 0.519949541574078, 0.579996323717894,      0.889757070081441, 1.00265829049513, 0.682273370470252, 0.487583248392117,      2.41403538414825, 0.467453442926814, 0.2905717823942), PROX_HAWKER = c(0.323134910569429,      0.323134910569429, 0.315572935590663, 0.272020065995023,      0.5145461029689, 0.391674386653945, 0.161327078165055, 0.449541776391294,      0.628838904549623, 0.552624576950901, 0.449541776391294,      0.527790221924738, 0.508914568418093, 0.304343114187016,      0.370496257898541, 0.840126401207934, 0.645875214067525,      0.561617227785994, 0.207247650371579, 0.185152730473859),          PROX_MRT = c(0.307725216106606, 0.307725216106606, 0.308409661615337,          0.348847208140378, 0.689820066215858, 0.707146681079003,          0.352113639571012, 0.819017740329599, 0.731513991246432,          0.796240617220745, 0.819017740329599, 0.351828842975553,          1.21403827268849, 1.12559589355515, 1.21137251272603,          0.726942522279936, 0.707952731476156, 1.71497473755306,          0.409658939160285, 0.329298986744561), PROX_PARK = c(0.692980820038259,          0.692980820038259, 0.556935587195362, 0.429024269124863,          0.506309566114581, 0.630094576064042, 0.412720152963846,          0.754667699158598, 0.402026431996325, 0.579398729399101,          0.754667699158598, 0.752867192571236, 0.633868788719276,          0.326884491561474, 0.429817985649402, 0.618444971248099,          0.511064020035708, 0.181629272169071, 0.380160428577633,          0.433052663426989), PROX_GOOD_PRISCH = c(0.945616550360875,          0.945616550360875, 0.97109568154285, 0.999365026226873,          1.35033962190844, 1.10432321767326, 0.778258345851083,          1.50498632547922, 1.37880970746963, 1.45792936689373,          1.50498632547922, 0.402201611323318, 1.8319493658717,          1.53712936271762, 1.58756538029025, 2.78644315018514,          2.82520953766913, 1.52909264222103, 2.07008813823767,          0.178279914989512), PROX_MALL = c(0.3113714109904, 0.3113714109904,          0.277854565241424, 0.188176716989659, 0.508727078362918,          0.759347764163403, 0.1993183735571, 0.732362808464395,          0.493679276753517, 0.616886214909116, 0.732362808464395,          0.347570072991699, 0.308706652763352, 0.493589384976364,          0.573348708551386, 0.66906173274608, 0.535655644340599,          1.69674818443598, 0.395390786334096, 0.409325390211749         ), PROX_CHAS = c(0.164045702260751, 0.164045702260751,          0.213793078898363, 0.139131199666608, 0.0590210156667789,          0.395290416984683, 0.176868193181362, 0.30624919123722,          0.0836673580931749, 0.145158576319141, 0.30624919123722,          0.329846033180528, 0.308706623046814, 0.118978706369709,          0.166187985395119, 0.195243012850588, 0.102679570293108,          0.26797195188846, 0.278446199404133, 0.239000132427376         ), PROX_SUPERMARKET = c(0.329801606095394, 0.329801606095394,          0.217115292225756, 0.139131268426574, 0.0642147642973091,          0.20799335196523, 0.245740902557878, 0.309780650655361,          0.0769150331708007, 0.145877744762322, 0.309780650655361,          0.353445486406562, 0.31508799294366, 0.371852561025965,          0.394772134126693, 0.169510705521186, 0.158953339299884,          0.570395350553557, 0.0888694671696128, 0.258988936146552         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 0L,          0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 4L, 1L, 2L,          6L, 1L, 2L, 1L, 1L, 4L, 4L, 3L, 1L, 0L, 1L, 1L, 3L, 2L         ), WITHIN_350M_BUS = c(11L, 11L, 11L, 9L, 7L, 7L, 6L,          7L, 7L, 8L, 7L, 10L, 3L, 8L, 7L, 7L, 5L, 10L, 10L, 6L         ), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 2L, 4L,          1L, 2L, 2L, 1L, 3L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 2L),          DNeighbour = c(0, 7.75694436174544, 138.315340044306,          262.126417879558, 464.590264016352, 534.735105570321,          552.957278052077, 557.384901985646, 560.450925857204,          561.754877741234, 564.938504657199, 576.3868901473, 1058.17379380788,          1180.61767699413, 1277.95920809379, 1838.96432599722,          1897.20978143724, 2342.00695833363, 2775.42618448353,          2791.24871867179)), row.names = c("926", "68", "943",      "268", "983", "640", "584", "308", "551", "928", "794", "649",      "278", "245", "244", "904", "338", "40", "221", "775"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99998455412208, 0.99509498790498, 0.982439566672587, 0.945359430124481,      0.927944569051205, 0.923049866084497, 0.921837788477027,      0.920993260132131, 0.920632803745165, 0.919749520789821,      0.916535552887099, 0.733215596142655, 0.674197667925127,      0.624697345187179, 0.32028834446207, 0.289453544974315, 0.0876096380448738,      0.000127805533234, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7256615225 
R squared (OOB):                  0.6157359 

$Forests[[927]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 350000, 325000,      310000, 295000, 320000, 390000, 343000, 345000, 345000, 370000,      325000, 380000, 380000, 420000, 420000, 385000, 345000, 323000,      415000), floor_area_sqm = c(103, 104, 104, 104, 105, 106,      126, 102, 104, 103, 93, 90, 93, 93, 93, 92, 104, 102, 104,      104), storey_order = c(4L, 2L, 1L, 1L, 1L, 1L, 2L, 5L, 4L,      5L, 1L, 4L, 1L, 1L, 3L, 6L, 1L, 2L, 3L, 2L), remaining_lease_mths = c(881,      863, 872, 879, 870, 851, 879, 935, 862, 944, 1139, 912, 1142,      1138, 1139, 1104, 863, 935, 956, 875), PROX_CBD = c(15.9139497277605,      15.9139497277605, 15.9652370890998, 15.9652370890998, 16.027241877126,      15.9983120826665, 16.1769042321823, 15.6558233565228, 16.2035530975804,      15.6615925135045, 15.8422849591204, 16.3759795802925, 15.6174435761395,      15.9652529785268, 15.9652529785268, 16.0058570800758, 16.2492480828887,      16.0814208174046, 16.3822081442679, 15.8781143296649), PROX_ELDERLYCARE = c(0.471057675436291,      0.471057675436291, 0.372962984236141, 0.372962984236141,      0.401697186037664, 0.541237256511776, 0.382017171357745,      0.268146833149962, 0.462412199513001, 0.372854461013726,      0.241353796602158, 0.437652472603004, 0.457575537702088,      0.120425003900544, 0.120425003900544, 0.0922651494707867,      0.836071823435323, 0.129424766752979, 0.317064501792404,      0.633288957745621), PROX_HAWKER = c(2.34701070601947, 2.34701070601947,      2.45115541279444, 2.45115541279444, 2.44772974464855, 2.1818192257633,      2.55739022352562, 2.27183532495414, 2.51024920878341, 2.39243139523594,      2.37354129025836, 2.71828200917597, 2.21004723991438, 2.36922200206298,      2.36922200206298, 2.393526972262, 2.17952287051713, 2.40830007300065,      2.76474077583521, 1.79301822351461), PROX_MRT = c(0.424613907535265,      0.424613907535265, 0.52727924180445, 0.52727924180445, 0.538616250543522,      0.364450998520493, 0.674610535324426, 0.370313443989706,      0.65447898159524, 0.499275570100955, 0.721786411333246, 0.870089952652958,      0.70935210619912, 0.886101680623091, 0.886101680623091, 0.910164710677637,      0.290093838525113, 1.00126993569874, 1.02897813643603, 0.159697283923578     ), PROX_PARK = c(1.30337713627377, 1.30337713627377, 1.39203600576681,      1.39203600576681, 1.35146177086674, 1.05372411430502, 1.39748820590438,      1.16446299803307, 1.32632916723033, 1.19384102986047, 1.42084473696832,      1.49155883505512, 1.21748666352844, 1.58077599563476, 1.58077599563476,      1.6216647961598, 0.886796559947336, 1.7154732425778, 1.73717122008599,      0.678969217742802), PROX_GOOD_PRISCH = c(5.99275530970335,      5.99275530970335, 6.02718330754398, 6.02718330754398, 6.09534233388474,      6.12314921566155, 6.23706483495109, 5.73062396037349, 6.27623366830878,      5.71328270316738, 5.8611108446886, 6.4246273009838, 5.63578467655705,      5.96493131981452, 5.96493131981452, 6.00411547246196, 6.4097782056775,      6.0710937852797, 6.39421933734494, 6.09357654169244), PROX_MALL = c(0.338688619983659,      0.338688619983659, 0.238316612740974, 0.238316612740974,      0.275346491924215, 0.45623102577182, 0.292722816398213, 0.155488337640192,      0.370949542105629, 0.238209845871265, 0.177442774283774,      0.409369768138594, 0.401390812484646, 0.18546430077947, 0.18546430077947,      0.187934498474296, 0.355568776497803, 0.261655001598387,      0.374078152135628, 0.145699923430919), PROX_CHAS = c(0.338688583692834,      0.338688583692834, 0.238316573509266, 0.238316573509266,      0.275346446899555, 0.290215734280461, 0.292722768811081,      0.155488306171375, 0.370949494121523, 0.238209795937414,      0.177442804982894, 0.409369730284335, 0.187858028295528,      0.185464348558652, 0.185464348558652, 0.187934543511456,      0.121251060497272, 0.26165503944411, 0.374078140160073, 0.0723222156351423     ), PROX_SUPERMARKET = c(0.112474666082431, 0.112474666082431,      0.177610526119132, 0.177610526119132, 0.141316208924405,      0.162067612034701, 0.254565333705719, 0.152010752053411,      0.235998227482853, 0.238833101010687, 0.197153631350279,      0.389543937857684, 0.412009517866082, 0.198556813498254,      0.198556813498254, 0.197516435852273, 0.350013224352412,      0.265481412722203, 0.357574924056941, 0.157892159590583),          WITHIN_350M_KINDERGARTEN = c(3L, 3L, 3L, 3L, 3L, 1L,          5L, 4L, 3L, 3L, 2L, 2L, 3L, 1L, 1L, 1L, 0L, 0L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(9L, 9L, 6L, 6L, 8L, 6L,          8L, 8L, 5L, 5L, 7L, 2L, 3L, 5L, 5L, 5L, 4L, 5L, 1L, 3L         ), WITHIN_350M_BUS = c(15L, 15L, 14L, 14L, 12L, 12L,          9L, 14L, 7L, 16L, 15L, 5L, 15L, 15L, 15L, 14L, 9L, 13L,          9L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 3L         ), DNeighbour = c(0, 3.79450430143454, 100.773607533834,          101.359242127936, 122.538005204832, 256.827953746992,          270.383130366503, 270.725666376762, 287.398903357274,          304.512144765725, 382.914251325962, 476.045578158859,          488.85131732762, 501.664358171899, 510.301936402253,          516.690954591721, 558.919553820378, 595.608228693711,          605.278552472146, 637.452372722176)), row.names = c("927",      "959", "566", "490", "463", "888", "54", "450", "806", "572",      "585", "974", "766", "913", "137", "154", "711", "890", "173",      "510"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999929134163765,      0.950640923739174, 0.950072932677768, 0.927460109877641,      0.701697096450133, 0.672541903297735, 0.671793967672526,      0.634777617334496, 0.595676771132275, 0.408533044048511,      0.195628219361548, 0.16965389457077, 0.144899994784534, 0.128986009075478,      0.117648103563566, 0.0534618314322229, 0.0161230518826239,      0.00968207641631842, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1423523611 
R squared (OOB):                  -0.04585049 

$Forests[[928]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(729999, 653000, 742000,      745000, 682000, 688000, 468888, 4e+05, 480000, 535000, 5e+05,      478000, 4e+05, 360000, 5e+05, 7e+05, 413888, 649888, 533000,      363000), floor_area_sqm = c(100, 91, 92, 100, 100, 90, 92,      104, 92, 92, 91, 92, 92, 92, 91, 95, 88, 87, 88, 97), storey_order = c(6L,      2L, 7L, 10L, 10L, 6L, 3L, 4L, 3L, 3L, 1L, 4L, 3L, 2L, 2L,      3L, 2L, 3L, 1L, 4L), remaining_lease_mths = c(1122, 1121,      1104, 1122, 1120, 985, 701, 745, 692, 694, 690, 716, 708,      719, 706, 1100, 668, 1103, 653, 701), PROX_CBD = c(9.41601606571959,      9.51816518584724, 9.57467117229508, 9.28682806708392, 9.28682806708392,      9.84174458192399, 9.79963982832759, 9.4187827620762, 9.76973796844692,      9.76973796844692, 10.2183960492338, 9.58813304663833, 10.1748545259067,      10.2629321739313, 10.2657373615824, 7.97001655790022, 7.88501742637481,      7.02256530608061, 6.92829321613491, 12.1013944735855), PROX_ELDERLYCARE = c(0.14515851054369,      0.0590206014568566, 0.0836678964153836, 0.306248896776786,      0.306248896776786, 0.339166460968835, 0.390845215421192,      0.579996323717894, 0.487200680071974, 0.487200680071974,      0.670964346371623, 0.251441869005946, 0.889757070081441,      1.00265829049513, 0.519949541574078, 0.682273370470252, 0.487583248392117,      0.467453442926814, 0.389684735109723, 2.41403538414825),          PROX_HAWKER = c(0.552624576950901, 0.5145461029689, 0.628838904549623,          0.449541776391294, 0.449541776391294, 0.272020065995023,          0.315572935590663, 0.508914568418093, 0.323134910569429,          0.323134910569429, 0.161327078165055, 0.391674386653945,          0.304343114187016, 0.370496257898541, 0.527790221924738,          0.840126401207934, 0.645875214067525, 0.207247650371579,          0.133504850959355, 0.561617227785994), PROX_MRT = c(0.796240617220745,          0.689820066215858, 0.731513991246432, 0.819017740329599,          0.819017740329599, 0.348847208140378, 0.308409661615337,          1.21403827268849, 0.307725216106606, 0.307725216106606,          0.352113639571012, 0.707146681079003, 1.12559589355515,          1.21137251272603, 0.351828842975553, 0.726942522279936,          0.707952731476156, 0.409658939160285, 0.407218977151475,          1.71497473755306), PROX_PARK = c(0.579398729399101, 0.506309566114581,          0.402026431996325, 0.754667699158598, 0.754667699158598,          0.429024269124863, 0.556935587195362, 0.633868788719276,          0.692980820038259, 0.692980820038259, 0.412720152963846,          0.630094576064042, 0.326884491561474, 0.429817985649402,          0.752867192571236, 0.618444971248099, 0.511064020035708,          0.380160428577633, 0.377410917604964, 0.181629272169071         ), PROX_GOOD_PRISCH = c(1.45792936689373, 1.35033962190844,          1.37880970746963, 1.50498632547922, 1.50498632547922,          0.999365026226873, 0.97109568154285, 1.8319493658717,          0.945616550360875, 0.945616550360875, 0.778258345851083,          1.10432321767326, 1.53712936271762, 1.58756538029025,          0.402201611323318, 2.78644315018514, 2.82520953766913,          2.07008813823767, 2.0639866413545, 1.52909264222103),          PROX_MALL = c(0.616886214909116, 0.508727078362918, 0.493679276753517,          0.732362808464395, 0.732362808464395, 0.188176716989659,          0.277854565241424, 0.308706652763352, 0.3113714109904,          0.3113714109904, 0.1993183735571, 0.759347764163403,          0.493589384976364, 0.573348708551386, 0.347570072991699,          0.66906173274608, 0.535655644340599, 0.395390786334096,          0.352244010010256, 1.69674818443598), PROX_CHAS = c(0.145158576319141,          0.0590210156667789, 0.0836673580931749, 0.30624919123722,          0.30624919123722, 0.139131199666608, 0.213793078898363,          0.308706623046814, 0.164045702260751, 0.164045702260751,          0.176868193181362, 0.395290416984683, 0.118978706369709,          0.166187985395119, 0.329846033180528, 0.195243012850588,          0.102679570293108, 0.278446199404133, 0.180332756228222,          0.26797195188846), PROX_SUPERMARKET = c(0.145877744762322,          0.0642147642973091, 0.0769150331708007, 0.309780650655361,          0.309780650655361, 0.139131268426574, 0.217115292225756,          0.31508799294366, 0.329801606095394, 0.329801606095394,          0.245740902557878, 0.20799335196523, 0.371852561025965,          0.394772134126693, 0.353445486406562, 0.169510705521186,          0.158953339299884, 0.0888694671696128, 0.0762755382886037,          0.570395350553557), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 1L, 1L,          1L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 1L,          2L, 1L, 1L, 4L, 4L, 4L, 3L, 3L, 6L, 2L, 3L, 1L, 4L, 0L,          1L, 3L, 5L, 1L), WITHIN_350M_BUS = c(8L, 7L, 7L, 7L,          7L, 9L, 11L, 3L, 11L, 11L, 6L, 7L, 8L, 7L, 10L, 7L, 5L,          10L, 7L, 10L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L,          1L, 3L, 3L, 0L, 3L, 3L, 4L, 2L, 0L, 0L, 3L, 1L, 1L, 0L,          0L, 0L), DNeighbour = c(0, 115.884996218876, 178.337223468244,          183.650998542224, 184.514070921032, 466.230476239417,          494.966448594645, 552.387465515272, 561.754877741234,          568.467830259078, 817.250616076847, 943.224672306632,          998.009283014212, 1107.29909478626, 1123.44039989927,          1439.4333678061, 1541.95625229373, 2516.89170383708,          2585.5382943734, 2703.85219676433)), row.names = c("928",      "983", "551", "308", "794", "268", "943", "278", "926", "68",      "584", "640", "245", "244", "649", "904", "338", "221", "978",      "40"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996329548765947,      0.991318347070258, 0.990794492311441, 0.990707968386927,      0.941418490853071, 0.934101249739905, 0.918267884009187,      0.915533965926671, 0.913549044359869, 0.825631035550405,      0.771423771191999, 0.746082079214394, 0.692703407248778,      0.684529337045711, 0.513499295415771, 0.455327074429713,      0.0178251288433291, 0.0073274190256564, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5769106102 
R squared (OOB):                  0.6809795 

$Forests[[929]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 446000, 340000,      390000, 420000, 365000, 380000, 360000, 370000, 420000, 315000,      358888, 308000, 415000, 365000, 388000, 440000, 304000, 316000,      355000), floor_area_sqm = c(104, 107, 104, 104, 99, 107,      102, 103, 98, 90, 84, 91, 84, 100, 103, 103, 103, 104, 104,      103), storey_order = c(2L, 3L, 1L, 1L, 3L, 1L, 2L, 1L, 2L,      2L, 3L, 3L, 1L, 1L, 4L, 3L, 2L, 2L, 1L, 3L), remaining_lease_mths = c(763,      783, 772, 763, 929, 766, 938, 777, 767, 925, 788, 763, 795,      944, 768, 935, 918, 776, 777, 793), PROX_CBD = c(13.075732494377,      13.1163383572019, 13.1145091682395, 13.1145091682395, 13.2222340992065,      13.578535689825, 12.4172252614445, 13.7231688188033, 12.6407298816561,      12.960867808991, 13.0463978034086, 13.6826822978472, 13.3304860768802,      13.1525533734461, 12.6612960596841, 12.2384019056968, 12.1964782349865,      13.8730731524118, 13.8730731524118, 13.46147060752), PROX_ELDERLYCARE = c(0.206309775801723,      0.258125844069092, 0.233566729538939, 0.233566729538939,      0.385934705647939, 0.535215785060316, 0.466477120293287,      0.681177733621966, 0.198383641986835, 0.579007844644764,      0.612412426395362, 0.000158780971194199, 0.85382998667073,      0.640770029240432, 0.349885373003571, 0.481492260541915,      0.395535007521183, 0.192118066579221, 0.192118066579221,      1.01995663096129), PROX_HAWKER = c(1.2806114078583, 1.23349193679857,      1.24018164124527, 1.24018164124527, 1.08380419022874, 0.775756145922257,      1.89270186421095, 0.601426993813282, 1.70233840124208, 1.16344345150942,      1.36023111372333, 0.699744847940348, 1.09459947163448, 0.959649545299011,      1.71720286170745, 2.08679181031876, 2.11269605893479, 0.635045114374877,      0.635045114374877, 1.03983060555389), PROX_MRT = c(0.218393806785847,      0.166998983475289, 0.402767024758649, 0.402767024758649,      0.503688459146237, 0.357978123578611, 0.847625669994717,      0.498221170198522, 0.712674611555213, 0.899387073359532,      0.622051877914657, 0.751023886560838, 0.525688124362732,      0.944408516927639, 0.798149237832703, 1.00400763232319, 1.03396693725809,      0.865482366580506, 0.865482366580506, 0.367668143276235),          PROX_PARK = c(1.31516124688894, 1.28385310080255, 1.4917670023494,          1.4917670023494, 1.61082819122054, 1.33984402369384,          0.790049777369869, 1.26781451063295, 0.87239282209614,          1.44660566239193, 0.572775970192077, 1.77145949687945,          0.620743454357064, 1.65277848527316, 0.722272593032778,          0.617440020241687, 0.631382355736929, 1.73324375775577,          1.73324375775577, 0.582693033366388), PROX_GOOD_PRISCH = c(3.06740437701091,          3.10133739012884, 3.15473759747012, 3.15473759747012,          3.2388029474634, 3.55013641033528, 2.44639044951476,          3.673854441535, 2.56532775368338, 2.82458087567675, 2.96540091825049,          3.58938982364218, 3.24954726475941, 2.95137840528657,          2.58047246486208, 2.2532718981807, 2.16851203086393,          3.76914808697313, 3.76914808697313, 3.38131302543864),          PROX_MALL = c(0.332903613799786, 0.281310431650798, 0.504156272689578,          0.504156272689578, 0.587950861513872, 0.305514521023982,          0.95273084922996, 0.406890039239853, 0.751522975449472,          0.695129776671669, 0.587476612974174, 0.770100764029299,          0.513372166694422, 0.703422933264244, 0.817237002784756,          1.10261213560447, 1.12036230953297, 0.861712986146148,          0.861712986146148, 0.644549177151603), PROX_CHAS = c(0.122328851042638,          0.155371621529032, 0.11048408202451, 0.11048408202451,          0.151225190585885, 0.282171570268124, 0.132703338642494,          0.176857487498571, 0.217156748290024, 0.341366062526918,          0.40513819943783, 0.110149755252424, 0.472814153962233,          0.1365287941905, 0.248450831201433, 0.187666753228527,          0.194956542036987, 0.0967538959757692, 0.0967538959757692,          0.348399033159575), PROX_SUPERMARKET = c(0.193246634773484,          0.141466460051892, 0.362446168440829, 0.362446168440829,          0.459946280432931, 0.281417393052806, 0.453312253927337,          0.270532795629183, 0.217156859083098, 0.668273194253219,          0.599997973636583, 0.11210687568128, 0.510727353781082,          0.688592108834651, 0.326739034058403, 0.388917381074845,          0.242376621204914, 0.094684564379848, 0.094684564379848,          0.356146193343619), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 1L, 0L, 0L, 2L, 0L, 2L, 2L, 1L, 0L, 2L,          1L, 1L, 2L, 2L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L,          6L, 6L, 5L, 4L, 3L, 4L, 4L, 1L, 2L, 3L, 4L, 2L, 3L, 2L,          4L, 3L, 3L, 3L), WITHIN_350M_BUS = c(10L, 9L, 7L, 7L,          8L, 10L, 9L, 8L, 10L, 2L, 7L, 9L, 5L, 6L, 12L, 10L, 9L,          8L, 8L, 6L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 4L,          4L, 2L, 3L, 3L, 3L, 4L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L,          3L), DNeighbour = c(0, 55.7240550560927, 230.637285842106,          234.332834647732, 374.155026266706, 509.351299252664,          656.614915745217, 685.372225672743, 703.818067093101,          709.549689601422, 741.27845956433, 754.446125154785,          782.143102862669, 786.676844080236, 819.046896451931,          838.118136664921, 897.455339042401, 901.994797997526,          906.975055130094, 934.226228348136)), row.names = c("929",      "105", "844", "164", "350", "856", "296", "960", "477", "831",      "987", "1000", "61", "496", "552", "399", "677", "36", "230",      "332"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.992897061488974,      0.881819853592435, 0.878126130759689, 0.704931452099478,      0.493849037851444, 0.256047019469574, 0.213253292168252,      0.186998781139107, 0.179057473746713, 0.137202679361654,      0.120994551386702, 0.089448966344705, 0.0846407297855349,      0.0535352750019295, 0.0380897306836093, 0.00595524993815189,      0.00459833752845482, 0.00330494870094999, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2407356334 
R squared (OOB):                  -0.3440632 

$Forests[[930]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(680000, 715000, 662000,      675000, 550000, 710000, 672000, 660000, 440000, 340000, 4e+05,      363000, 358000, 345000, 575000, 390000, 430000, 370000, 355000,      430000), floor_area_sqm = c(95, 95, 95, 95, 102, 93, 85,      85, 91, 84, 104, 84, 84, 84, 101, 84, 104, 84, 84, 92), storey_order = c(4L,      6L, 3L, 2L, 3L, 6L, 5L, 3L, 5L, 1L, 2L, 4L, 3L, 1L, 6L, 1L,      2L, 3L, 3L, 2L), remaining_lease_mths = c(1084, 1099, 1093,      1093, 761, 1084, 1042, 1032, 669, 780, 783, 780, 770, 789,      932, 783, 781, 777, 782, 687), PROX_CBD = c(6.04001281876484,      6.06656257116635, 6.11286474740545, 6.15852201326599, 6.04257091454572,      6.17931132662417, 6.58265946872266, 6.62545736407856, 6.95185067667089,      6.73119135364588, 6.8579883001408, 6.82164733234375, 6.82164733234375,      7.23308787648785, 5.56255806753875, 4.91139217141794, 7.27303659463988,      7.32999369210923, 7.37752466520609, 5.17330173892321), PROX_ELDERLYCARE = c(0.545921172841312,      0.516985202466339, 0.471592353212743, 0.428116600598184,      0.548656319889636, 0.411122241220865, 0.129826558983194,      0.121758896932011, 0.368543492371998, 0.709869492714774,      0.650979480304367, 0.729511559050305, 0.729511559050305,      0.804640181087392, 0.0599829320550621, 0.53976690699019,      0.949520652768775, 1.04617467786566, 1.11141904944431, 0.151830290872251     ), PROX_HAWKER = c(0.0606577495598573, 0.0900485470251793,      0.0855319563513606, 0.104458461300263, 0.19523132016882,      0.114709112077857, 0.37361464573735, 0.33268573973532, 0.163396016993116,      0.84617550022745, 0.732876252375814, 0.834207881424508, 0.834207881424508,      0.727393295990439, 0.248163252655802, 0.526793317066312,      0.905159668549179, 1.00458194418859, 1.06790139631185, 0.261285820740611     ), PROX_MRT = c(0.53617676606472, 0.530436532640755, 0.576684647572531,      0.567634817298681, 0.448203274012385, 0.54480998513683, 0.288098631383321,      0.255638745600017, 0.258776848421036, 0.447149108468339,      0.479854345281657, 0.401668294921849, 0.401668294921849,      0.626719191507479, 0.389634730949481, 0.348715950460643,      0.477339162120678, 0.446590670593176, 0.450606800129455,      0.568944969773001), PROX_PARK = c(0.524571131123829, 0.548254609843109,      0.517760851715104, 0.487498062645995, 0.651264615899835,      0.461766774013401, 0.734858817801552, 0.741691321664553,      0.871860056746433, 1.30601230217613, 1.26891760289394, 1.33915084667526,      1.33915084667526, 1.17683143601381, 0.136342453682232, 0.454973393404149,      1.28136359713013, 1.30043300411079, 1.30417314517193, 0.375618223612072     ), PROX_GOOD_PRISCH = c(2.00925132829891, 2.03651743937875,      2.00772186702724, 1.97696478280336, 2.14268529299874, 1.95037752635058,      2.10026546945211, 2.08436883673306, 1.99104033276262, 2.67147237000904,      2.57894825178105, 2.67483404440455, 2.67483404440455, 2.53413597667736,      3.30515733544794, 3.07957394860643, 2.72285479219865, 2.81856751915823,      2.87682745937193, 3.5160560831601), PROX_MALL = c(0.387042201482337,      0.365617038961166, 0.403935094648282, 0.446404896609829,      0.264532440460292, 0.476611693189829, 0.712222885156031,      0.757747380414752, 1.10491400246256, 0.894914409230097, 0.985446043286547,      0.977306285381771, 0.977306285381771, 1.33824767405872, 0.719385659919303,      0.779372162435287, 1.40144317349524, 1.4733570331857, 1.52964479685301,      0.96360119165526), PROX_CHAS = c(0.134421273847083, 0.0929349198733403,      0.0679258481743644, 0.0766942583569258, 0.12619956254809,      0.10259225576309, 0.19769969897302, 0.152169077912936, 0.197049444171332,      0.468632365618207, 0.418063314797021, 0.389404577789016,      0.389404577789016, 0.335243362149438, 0.174009235365936,      0.297280152993809, 0.150676124399865, 0.100781853121145,      0.123680988169118, 0.213267381067323), PROX_SUPERMARKET = c(0.0393286469640316,      0.0785030623714358, 0.0895469396191502, 0.11965836137487,      0.178930757423705, 0.134806953278168, 0.255985378039003,      0.21094349839638, 0.145490551360364, 0.541263540151477, 0.471666412940503,      0.457775852816324, 0.457775852816324, 0.400791637001426,      0.173881454941229, 0.212061147632098, 0.216512452964216,      0.154588063793208, 0.15284622075069, 0.266791583668656),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 1L,          0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 3L, 3L, 4L, 3L,          0L, 0L, 3L, 2L, 1L, 1L, 1L, 2L, 4L, 2L, 4L, 4L, 5L, 4L         ), WITHIN_350M_BUS = c(8L, 8L, 6L, 6L, 7L, 6L, 2L, 2L,          4L, 4L, 3L, 4L, 4L, 4L, 2L, 7L, 7L, 8L, 9L, 4L), WITHIN_1KM_PRISCH = c(1L,          1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L,          2L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 42.8206571424858,          69.635611889094, 121.597894543731, 136.40281793502, 145.313485008315,          571.437870123483, 602.870128987117, 914.414099909777,          992.731247357827, 1020.77836795943, 1058.82353975658,          1059.09595523653, 1293.81160118779, 1303.23000881142,          1305.64674014241, 1401.98751119687, 1495.94308609229,          1560.57507788758, 1562.59333347142)), row.names = c("930",      "297", "536", "23", "453", "756", "388", "841", "492", "529",      "168", "322", "46", "171", "596", "251", "611", "187", "948",      "270"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998498651140539,      0.996032020742345, 0.987925387250558, 0.984818072084827,      0.982778621226756, 0.750414505777846, 0.724452379144861,      0.432375400311515, 0.355670466003452, 0.328618433029365,      0.292517975712942, 0.29226243465312, 0.098867870042522, 0.0926684911920723,      0.0911030376881719, 0.0380246563884788, 0.00697022785453019,      6.66437250125555e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5260359977 
R squared (OOB):                  0.7527084 

$Forests[[931]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(638000, 630000, 485000,      448000, 520000, 430000, 5e+05, 565000, 548000, 648000, 420000,      588000, 560000, 670000, 516000, 375000, 439000, 440000, 345000,      450000), floor_area_sqm = c(102, 102, 103, 105, 108, 93,      105, 103, 95, 116, 91, 95, 104, 94, 98, 92, 97, 92, 92, 92     ), storey_order = c(9L, 6L, 2L, 1L, 1L, 3L, 2L, 4L, 2L, 4L,      1L, 3L, 3L, 6L, 3L, 2L, 3L, 3L, 1L, 1L), remaining_lease_mths = c(869,      870, 855, 866, 860, 728, 857, 852, 981, 871, 742, 1025, 851,      1104, 698, 695, 669, 677, 695, 679), PROX_CBD = c(7.86314261154951,      7.86314261154951, 7.70120549943486, 8.05276498978228, 7.50210394472385,      8.20083785223568, 8.19182633034048, 8.19182633034048, 8.37940280964872,      8.27332873959955, 8.31995738049774, 8.51090417959469, 7.6651195249001,      8.58683984966127, 8.70928269501252, 8.4016901584654, 8.73211086874077,      8.7589377611275, 8.46158045860266, 8.7589377611275), PROX_ELDERLYCARE = c(0.731462959428347,      0.731462959428347, 0.883817181840043, 0.599632276485302,      0.808331791227546, 0.41240614163537, 0.444818640633349, 0.444818640633349,      0.335901694998922, 0.354571010374291, 0.259768432786295,      0.120425912751251, 0.216787702409289, 0.203840329735754,      0.119444653145476, 0.150390524199432, 0.292319821872094,      0.169235371196244, 0.0854535518544851, 0.169235371196244),          PROX_HAWKER = c(0.573870222021737, 0.573870222021737,          0.72907919143595, 0.560005371648267, 0.932792437987216,          0.35604829505958, 0.553760551741158, 0.553760551741158,          0.203869560106314, 0.610975272844239, 0.387410687724852,          0.166697492306482, 0.778265933598076, 0.433030813326955,          0.281172749103646, 0.205000896629144, 0.436547444862961,          0.330091511745513, 0.266645682444034, 0.330091511745513         ), PROX_MRT = c(0.85984195598231, 0.85984195598231, 0.692418360175919,          1.12051759514643, 0.506174946521629, 0.805467939952349,          1.08457427678223, 1.08457427678223, 0.62312262100292,          1.0936063211659, 0.705543842504761, 0.608243230971526,          0.910191895307983, 0.751078096441513, 0.379410256905797,          0.747297636603152, 0.600073719023998, 0.338391484905848,          0.681495718287031, 0.338391484905848), PROX_PARK = c(0.281207712521794,          0.281207712521794, 0.450335295656325, 0.30128672956265,          0.621272392201987, 0.393072899865764, 0.374102285306053,          0.374102285306053, 0.394842599629624, 0.477465658778908,          0.517920409018535, 0.368529270986479, 0.361681715476141,          0.52118662053352, 0.513364518506117, 0.784786352249359,          0.617507126900098, 0.469340752260783, 0.773425606080498,          0.469340752260783), PROX_GOOD_PRISCH = c(0.562813849840511,          0.562813849840511, 0.490611064856358, 0.631981624625733,          0.343243332218702, 1.04754826657838, 0.769163347741007,          0.769163347741007, 1.14854892992093, 0.856939381531897,          1.20021801549651, 1.13331232297991, 0.353240700451805,          1.16640042723588, 1.35677240305411, 1.42922442943649,          1.31940815963163, 1.40615721612308, 1.4534383809239,          1.40615721612308), PROX_MALL = c(0.943364056194349, 0.943364056194349,          0.779066462317335, 1.07178760783233, 0.584674138925751,          0.844084234929545, 0.997182626507123, 0.997182626507123,          0.651389947232486, 0.991200103712322, 0.768764019555169,          0.540250505232014, 0.987031177772312, 0.632538285087724,          0.313890580083005, 0.856591768216477, 0.469553394647833,          0.264395031718586, 0.793630348518112, 0.264395031718586         ), PROX_CHAS = c(0.201852081003395, 0.201852081003395,          0.0405139203460024, 0.167974733321899, 0.169910439255117,          0.0460460495231756, 0.311461966699573, 0.311461966699573,          0.11938167830482, 0.413431749899638, 0.1066489590073,          0.0869956868442428, 0.371562543403755, 0.237191200694799,          0.112175615725657, 0.14998683096932, 0.0664211666443358,          0.0806835690144568, 0.161491876005888, 0.0806835690144568         ), PROX_SUPERMARKET = c(0.115543350477338, 0.115543350477338,          0.0588346413192393, 0.372458117254617, 0.26407208892283,          0.436961702644775, 0.485938543293979, 0.485938543293979,          0.282093113359979, 0.502190497784501, 0.284909088626731,          0.0869967242830128, 0.176585087131714, 0.35437102597818,          0.221335227738319, 0.194600933367586, 0.350370254212894,          0.24726445439454, 0.128302570008396, 0.24726445439454         ), WITHIN_350M_KINDERGARTEN = c(4L, 4L, 4L, 3L, 2L, 1L,          0L, 0L, 1L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 1L, 2L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 3L, 3L, 2L,          2L, 2L, 4L, 4L, 3L, 6L, 1L, 5L, 7L, 3L, 6L, 8L, 3L, 8L         ), WITHIN_350M_BUS = c(2L, 2L, 4L, 5L, 4L, 7L, 7L, 7L,          6L, 8L, 7L, 5L, 5L, 4L, 6L, 7L, 7L, 6L, 7L, 6L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 0L, 2L, 4L,          3L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 7.75141352230046,          177.573547019973, 362.129885001718, 368.625430902548,          482.971973558229, 508.998892394671, 509.068018457076,          580.250162910246, 627.20314514443, 638.31608632422, 649.972140208799,          654.754770171017, 779.913439157833, 841.948093708113,          882.426013368427, 890.809517537221, 895.725513469095,          895.991497845599, 899.619942258456)), row.names = c("931",      "476", "811", "635", "460", "79", "674", "128", "998", "795",      "716", "94", "935", "149", "446", "682", "842", "386", "676",      "194"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999851523562555,      0.923594528982903, 0.70218424579927, 0.692389289095424, 0.506629259124644,      0.462234089945856, 0.462115858445497, 0.341034671795218,      0.264124632331309, 0.246565258018561, 0.228483043309015,      0.221171511167475, 0.0617129734922126, 0.0154018304544943,      0.00143334836464143, 0.000379902213215247, 7.46358170430485e-05,      6.48081134536374e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5380012049 
R squared (OOB):                  0.3866753 

$Forests[[932]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 338000, 293000,      315000, 303888, 335000, 340000, 325000, 340000, 362000, 320000,      370000, 336000, 348000, 416000, 370000, 380000, 326000, 380000,      360000), floor_area_sqm = c(94, 94, 86, 87, 90, 90, 102,      90, 90, 94, 91, 95, 90, 95, 93, 93, 93, 101, 93, 93), storey_order = c(4L,      2L, 1L, 5L, 5L, 5L, 2L, 4L, 4L, 4L, 1L, 5L, 2L, 1L, 6L, 1L,      2L, 1L, 2L, 2L), remaining_lease_mths = c(1070, 1076, 1006,      1004, 1008, 998, 968, 973, 1011, 976, 980, 977, 966, 968,      1132, 1125, 1132, 942, 1136, 1135), PROX_CBD = c(18.9417612550563,      18.893500205596, 18.9558501171738, 18.9558501171738, 19.0279685600245,      18.976831626196, 18.6342583478867, 18.5353901232527, 18.5954829873069,      18.3273029006797, 18.4122801485573, 18.2449080671561, 18.263890012402,      18.0323194354466, 18.2305685201872, 18.2305685201872, 18.1279148711176,      17.6460086713989, 18.1376577985599, 18.1376577985599), PROX_ELDERLYCARE = c(3.09832013994742,      3.10102691254995, 3.04148171914245, 3.04148171914245, 3.26154359027314,      3.28231449363414, 2.72992435028626, 3.18651864771223, 3.21245115339435,      2.7120525382807, 3.05606256580079, 2.54228790651909, 2.93603771613334,      2.88259030935981, 2.5602844754638, 2.5602844754638, 2.51087611030153,      2.69583292953839, 2.49441526227585, 2.49441526227585), PROX_HAWKER = c(0.981837341088666,      0.926259022488312, 1.03425383708264, 1.03425383708264, 0.990561993667382,      0.923592674397851, 0.947673142820091, 0.491879726860981,      0.468862715548992, 0.729165861663657, 0.284310921582288,      0.859760115655931, 0.135415800319106, 0.459055170630849,      0.555435817196439, 0.555435817196439, 0.487567663506197,      0.543702723258422, 0.528296501129656, 0.528296501129656),          PROX_MRT = c(0.831940647091921, 0.777214903782309, 0.87145727172961,          0.87145727172961, 0.880588410111357, 0.822784932057268,          0.717283111076423, 0.375479822529604, 0.485913485771313,          0.470919202147399, 0.34633408104891, 0.597257652192269,          0.269488316579814, 0.228324090957444, 0.810957189319413,          0.810957189319413, 0.74928998522808, 0.514213843772978,          0.789676869843372, 0.789676869843372), PROX_PARK = c(1.58031197441792,          1.53153013283021, 1.64892029001525, 1.64892029001525,          1.5140651316136, 1.4431849310919, 1.68545701841371, 1.15334089580929,          0.966363588730214, 1.51959638840156, 0.872887750975024,          1.66089445329223, 0.826451671225411, 1.25712692932115,          0.269300347674678, 0.269300347674678, 0.317511189836545,          0.873328686748902, 0.276326305891841, 0.276326305891841         ), PROX_GOOD_PRISCH = c(9.2863930262578, 9.23793284137011,          9.30119351841798, 9.30119351841798, 9.37202430611723,          9.32093903042593, 8.98296462693421, 8.87993213136606,          8.94334048589707, 8.6741083827629, 8.76068312560123,          8.59525181849715, 8.61262144573917, 8.37645219680457,          8.60245346442475, 8.60245346442475, 8.49670627721454,          7.99076792195858, 8.50873818737911, 8.50873818737911),          PROX_MALL = c(0.886414086630636, 0.833273819621717, 0.918650450187965,          0.918650450187965, 0.951179576311185, 0.897736377807805,          0.719594778264249, 0.460655941356388, 0.594166870248601,          0.437943127987326, 0.458641270318743, 0.537890109309282,          0.374925429890344, 0.12060760008054, 0.89702383385846,          0.89702383385846, 0.819155488013484, 0.441435937338541,          0.814982856398022, 0.814982856398022), PROX_CHAS = c(0.0880613138842689,          0.143741090403558, 0.067384164825537, 0.067384164825537,          0.184556275618948, 0.237819060284531, 0.294409401108374,          0.165734202429707, 0.186588167457245, 0.319053536773146,          0.182706372800723, 0.274147949012332, 0.0541347282504724,          0.120607657412939, 0.080524556228062, 0.080524556228062,          0.0462043949149095, 0.441435968696221, 0.0547102897319272,          0.0547102897319272), PROX_SUPERMARKET = c(0.175726554209016,          0.218188374485768, 0.102761308178796, 0.102761308178796,          0.3125742651816, 0.322795161753339, 0.247755307750907,          0.167679568764744, 0.195869762300225, 0.198027823348086,          0.182706945219403, 0.161035318973668, 0.0541355525390397,          0.119017844673248, 0.512175097136782, 0.512175097136782,          0.467157902200199, 0.446325988440648, 0.504768063926141,          0.504768063926141), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 0L, 2L, 0L, 0L, 2L, 0L,          0L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 2L, 4L, 4L, 7L, 4L, 6L, 7L, 4L, 5L, 4L, 3L, 3L,          3L, 2L, 2L, 2L), WITHIN_350M_BUS = c(8L, 8L, 8L, 8L,          6L, 9L, 5L, 12L, 10L, 12L, 12L, 9L, 11L, 14L, 7L, 7L,          10L, 11L, 10L, 10L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 2L, 2L, 2L,          3L, 2L, 2L), DNeighbour = c(0, 56.4480716659695, 73.4572695644196,          75.0593716392864, 157.150164782739, 184.019934153024,          407.552202698847, 488.101210000454, 616.79497461655,          638.236448114503, 749.545172471702, 773.543720309677,          864.522998590503, 917.103113122861, 1314.21621249103,          1319.66007650363, 1322.49434894827, 1326.98466640619,          1349.02319758171, 1359.83179595015)), row.names = c("932",      "745", "951", "52", "570", "915", "7", "838", "901", "873",      "722", "5", "548", "354", "401", "770", "461", "456", "285",      "378"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996556631592836,      0.994172328589652, 0.993915745680305, 0.97346742118425, 0.963709377308717,      0.828418952286058, 0.758920433623784, 0.630854565823158,      0.607949236273039, 0.484657942858431, 0.457526199979772,      0.354992712045288, 0.297191088589971, 0.00435135084670656,      0.0033884802845877, 0.00293340235829791, 0.00227787601011348,      0.000250708758965956, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       534895052 
R squared (OOB):                  0.37711 

$Forests[[933]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(412000, 390000, 428000,      395000, 375000, 390000, 342000, 390000, 415000, 4e+05, 455000,      537000, 518000, 495000, 483000, 535000, 5e+05, 553000, 425000,      520000), floor_area_sqm = c(104, 104, 112, 104, 104, 105,      105, 105, 106, 104, 112, 93, 93, 93, 93, 93, 93, 93, 104,      93), storey_order = c(3L, 2L, 1L, 2L, 1L, 3L, 1L, 3L, 3L,      3L, 1L, 4L, 2L, 2L, 2L, 3L, 3L, 4L, 3L, 3L), remaining_lease_mths = c(891,      906, 892, 905, 919, 921, 904, 911, 919, 903, 896, 1128, 1132,      1131, 1129, 1131, 1131, 1134, 871, 1133), PROX_CBD = c(14.1568072460962,      14.1961571609712, 13.9733994982273, 13.6654936015449, 13.4266027498608,      13.4627621473458, 13.3769343120963, 13.3796709379934, 13.4239402990732,      13.3287778793447, 14.0913802169285, 14.1022978560303, 14.0392008059995,      14.1234549986629, 13.9851487819813, 13.9851487819813, 13.8777465201196,      13.8021184722805, 14.0236082538335, 13.7835124985007), PROX_ELDERLYCARE = c(2.56669577269824,      2.56528175499621, 2.73602573538322, 2.4559089786438, 2.17127601573547,      2.3602438602499, 2.13793612643937, 2.22474645739358, 2.35754914737924,      2.1917657327852, 1.71411655426264, 1.39999761805574, 1.32747908409073,      1.35242241046818, 1.27246652758392, 1.27246652758392, 1.14875617578224,      1.08391670289184, 1.09340394122649, 1.04590518035641), PROX_HAWKER = c(1.398882753411,      1.37564916931309, 1.72752929984142, 1.8007485076056, 1.79623369603986,      1.98731518790586, 1.83400406292357, 1.93918128958002, 2.04148614266885,      1.97547555130032, 0.659732742059419, 0.488105393549706, 0.543253862226502,      0.458626901673037, 0.59565400543288, 0.59565400543288, 0.709523473368326,      0.792084042786722, 0.594999289424802, 0.817574416707151),          PROX_MRT = c(1.21408476422274, 1.19597144129318, 1.52912572857094,          1.57537750219681, 1.55284801629317, 1.75308710953532,          1.58891799000297, 1.69795623670388, 1.80644454579453,          1.73242783606755, 0.410797330392975, 0.255700458734308,          0.327704984287647, 0.250036690549804, 0.390641440388092,          0.390641440388092, 0.526263367583387, 0.615458599020507,          0.469886084443941, 0.648112836468654), PROX_PARK = c(0.574460502508352,          0.541272645896965, 0.916601452818718, 0.850306194456086,          0.713305409065456, 0.956537089868377, 0.736187117229036,          0.863182736105437, 1.00169815399328, 0.88512129863374,          0.524242894978874, 0.52092144022497, 0.547177414231792,          0.469588575534173, 0.580591669210194, 0.580591669210194,          0.548712671125698, 0.476945111703218, 0.504422356794811,          0.438074957540257), PROX_GOOD_PRISCH = c(3.36750863472211,          3.39040053008466, 3.4114102230046, 3.15584859653876,          2.87807351257242, 3.09165556928148, 2.85157742620146,          2.95323290488506, 3.09662994187342, 2.92650083991791,          2.83541955823977, 2.69832814229385, 2.61966269686357,          2.69456588548322, 2.55482099432271, 2.55482099432271,          2.41902859908312, 2.33081910479479, 2.51794344218072,          2.3007469286795), PROX_MALL = c(0.280844166366742, 0.270320025824244,          0.596418817267466, 0.710058429219954, 0.808973697710999,          0.924666219790251, 0.857746498744393, 0.921202261186462,          0.980263777031476, 0.968339604524727, 0.471401908473598,          0.257523814996123, 0.316340524018432, 0.232476208076891,          0.37312896686832, 0.37312896686832, 0.498678106329343,          0.585717052475653, 0.418819234777705, 0.615576551193732         ), PROX_CHAS = c(0.192284580165596, 0.176758267598596,          0.126775582068521, 0.111974276762728, 0.374720545025774,          0.335494764547789, 0.418304503654494, 0.396028378293497,          0.386919516068906, 0.447143544638255, 0.471401941314913,          0.177701329016163, 0.101753514952091, 0.147334233235439,          0.0604900109870272, 0.0604900109870272, 0.133705064347241,          0.221659659627321, 0.151261605672147, 0.253975316505048         ), PROX_SUPERMARKET = c(0.192285941870899, 0.176759883249677,          0.159712105919183, 0.207177695926551, 0.196965153344936,          0.370560193975877, 0.224617478786604, 0.347107460725314,          0.409344743904916, 0.37251565902947, 0.471402360745676,          0.177702101069216, 0.101754383553332, 0.147334782275979,          0.0604908810371704, 0.0604908810371704, 0.133704798830233,          0.221659301316653, 0.151260689076964, 0.253974877653299         ), WITHIN_350M_KINDERGARTEN = c(3L, 3L, 5L, 1L, 1L, 1L,          1L, 0L, 0L, 0L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 4L, 2L, 3L, 1L, 2L,          1L, 1L, 1L, 1L, 1L, 4L, 4L, 4L, 3L, 3L, 2L, 2L, 4L, 2L         ), WITHIN_350M_BUS = c(9L, 9L, 10L, 12L, 7L, 7L, 5L,          8L, 7L, 6L, 12L, 11L, 10L, 13L, 8L, 8L, 8L, 5L, 12L,          6L), WITHIN_1KM_PRISCH = c(3L, 3L, 2L, 2L, 2L, 2L, 2L,          2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L),          DNeighbour = c(0, 46.078952873417, 345.333627218798,          541.894487143514, 730.433239405468, 775.789331144439,          781.722669717407, 807.249462975622, 824.216823723099,          862.76531834503, 872.664672393504, 1218.2196624482, 1271.11432761343,          1272.30277668562, 1308.48307767474, 1314.1724533931,          1416.92173935473, 1478.4834821086, 1515.65585705834,          1518.52181732894)), row.names = c("933", "555", "119",      "302", "818", "155", "965", "222", "38", "949", "352", "815",      "218", "212", "938", "819", "579", "275", "51", "380"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998159257108055, 0.899240118664841, 0.761523936417605,      0.590782300126823, 0.546116535525434, 0.540209332276249,      0.514661546263524, 0.497581374290031, 0.458590014914191,      0.448554986796852, 0.127028246306915, 0.089585281879874,      0.0888022988466193, 0.0663082832729383, 0.0630175979044112,      0.0167282845250428, 0.00270796408708535, 1.42212641843024e-05,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2311489955 
R squared (OOB):                  0.4360033 

$Forests[[934]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 410000, 380000,      380000, 430000, 405000, 448000, 420000, 405000, 415000, 450000,      395000, 360000, 367000, 393000, 455000, 362500, 390000, 412000,      425000), floor_area_sqm = c(107, 106, 106, 107, 104, 104,      116, 112, 105, 103, 106, 106, 84, 104, 103, 113, 103, 109,      104, 104), storey_order = c(4L, 2L, 1L, 2L, 2L, 2L, 3L, 4L,      3L, 3L, 4L, 2L, 3L, 1L, 2L, 5L, 3L, 1L, 2L, 3L), remaining_lease_mths = c(868,      871, 887, 871, 861, 862, 827, 866, 856, 834, 834, 834, 811,      879, 818, 824, 819, 889, 878, 871), PROX_CBD = c(15.2985874116244,      15.428944563277, 15.0291078847704, 15.2330821453909, 15.4019609662575,      15.4019609662575, 15.1039483662242, 15.3605597168545, 15.3605597168545,      15.1256206124729, 15.1256206124729, 15.1256206124729, 14.7472020389823,      14.66420827852, 14.8805910833212, 14.8805910833212, 14.3801998083441,      14.7712425946156, 14.1313829663274, 14.0236082538335), PROX_ELDERLYCARE = c(1.41400995500373,      1.63977306379889, 1.09928331705025, 1.22808745848404, 1.7026350967472,      1.7026350967472, 1.55233595008815, 1.7630974884403, 1.7630974884403,      1.5866097118695, 1.5866097118695, 1.5866097118695, 1.19052284520552,      0.719957479461771, 1.53481387371296, 1.53481387371296, 0.709377020411434,      0.729534612359916, 0.836104821253693, 1.09340394122649),          PROX_HAWKER = c(1.16406043263713, 1.09717995764468, 1.15922930524208,          1.40985252978436, 0.985391408166863, 0.985391408166863,          0.672854909342646, 0.874437271649647, 0.874437271649647,          0.674198133913936, 0.674198133913936, 0.674198133913936,          0.606039227085063, 1.17971772396452, 0.395563323563994,          0.395563323563994, 0.928921275219278, 1.70286767909083,          0.73352935155883, 0.594999289424802), PROX_MRT = c(1.40304810962874,          1.35104476777798, 1.36685465541241, 1.62235809597188,          1.24252861976923, 1.24252861976923, 0.927742831261867,          1.13238128237287, 1.13238128237287, 0.930587839854138,          0.930587839854138, 0.930587839854138, 0.807097621625513,          1.12495588646837, 0.650195396152393, 0.650195396152393,          1.02650412956774, 1.0665313702167, 0.735653331318593,          0.469886084443941), PROX_PARK = c(0.98341166564854, 1.02148060415503,          0.808345234949979, 0.633472210001671, 0.934356673366442,          0.934356673366442, 0.613453702116727, 0.852232892319188,          0.852232892319188, 0.625625874274951, 0.625625874274951,          0.625625874274951, 0.432698189125414, 0.823954351824118,          0.355836862982211, 0.355836862982211, 0.71485218383349,          0.405128535389849, 0.463826523913091, 0.504422356794811         ), PROX_GOOD_PRISCH = c(3.64472604970499, 3.79601078940401,          3.36640767040689, 3.56691345353299, 3.78947597459801,          3.78947597459801, 3.51513652285447, 3.77322944876988,          3.77322944876988, 3.54140201350838, 3.54140201350838,          3.54140201350838, 3.13467644284063, 2.99834463762659,          3.33079371618761, 3.33079371618761, 2.72778429145315,          3.13265552080448, 2.52734391167264, 2.51794344218072),          PROX_MALL = c(0.597111778941966, 0.809004632748584, 0.486526360127578,          0.253259472709144, 0.656741946143406, 0.656741946143406,          0.472438990852491, 0.502295694435402, 0.502295694435402,          0.445444903624544, 0.445444903624544, 0.445444903624544,          0.738705771798207, 0.669111824361406, 0.390496575840073,          0.390496575840073, 0.949257633150117, 0.541352629222412,          0.66282583229379, 0.418819234777705), PROX_CHAS = c(0.0911939042613644,          0.352996738297868, 0.228652490110126, 0.210576528602503,          0.478794864158343, 0.478794864158343, 0.353464796953762,          0.563239471741591, 0.563239471741591, 0.387886097439527,          0.387886097439527, 0.387886097439527, 0.19051372613691,          0.38494516455544, 0.448788349522024, 0.448788349522024,          0.453083161817035, 0.220588325506638, 0.528800676490504,          0.151261605672147), PROX_SUPERMARKET = c(0.408284988301129,          0.252078878715955, 0.234691730121176, 0.21397076195142,          0.1489144838969, 0.1489144838969, 0.429218479578941,          0.187279197917694, 0.187279197917694, 0.411626017932148,          0.411626017932148, 0.411626017932148, 0.326764101800336,          0.384052647553184, 0.447693008221967, 0.447693008221967,          0.513065398645433, 0.49532093691776, 0.528799775767506,          0.151260689076964), WITHIN_350M_KINDERGARTEN = c(2L,          0L, 2L, 3L, 0L, 0L, 2L, 0L, 0L, 2L, 2L, 2L, 3L, 1L, 2L,          2L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(1L, 2L,          3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L,          3L, 3L, 3L, 4L), WITHIN_350M_BUS = c(13L, 11L, 8L, 12L,          9L, 9L, 7L, 10L, 10L, 6L, 6L, 6L, 9L, 7L, 5L, 5L, 2L,          8L, 6L, 12L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L,          3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 1L, 2L,          2L), DNeighbour = c(0, 264.212147675265, 320.019295221543,          352.335627511236, 395.024681737795, 396.553104037516,          534.550284020682, 534.989654792765, 537.31935441125,          549.035808876677, 549.224513334755, 551.224817340608,          640.766593032111, 693.449563613735, 776.852091911254,          780.924807648971, 918.776337211928, 971.33824182036,          1204.35707516417, 1448.6806825798)), row.names = c("934",      "899", "314", "428", "495", "406", "188", "782", "994", "233",      "457", "483", "136", "686", "639", "852", "3", "527", "695",      "51"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.93458060359269,      0.904784182841745, 0.885195382107632, 0.856820901312314,      0.855753982464464, 0.746229160803317, 0.745842355298709,      0.743787748787866, 0.733363435106658, 0.733194310539904,      0.731399187651511, 0.646997379078944, 0.594238551717193,      0.50756804961982, 0.50326972938115, 0.357329187701621, 0.302975106567048,      0.0953953157062276, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       691892524 
R squared (OOB):                  0.1443905 

$Forests[[935]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(560000, 448000, 565000,      5e+05, 520000, 648000, 630000, 638000, 485000, 670000, 410000,      588000, 430000, 430000, 439000, 520000, 548000, 518000, 516000,      420000), floor_area_sqm = c(104, 105, 103, 105, 108, 116,      102, 102, 103, 94, 97, 95, 93, 102, 97, 89, 95, 84, 98, 91     ), storey_order = c(3L, 1L, 4L, 2L, 1L, 4L, 6L, 9L, 2L, 6L,      4L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 1L), remaining_lease_mths = c(851,      866, 852, 857, 860, 871, 870, 869, 855, 1104, 665, 1025,      728, 869, 669, 801, 981, 781, 698, 742), PROX_CBD = c(7.6651195249001,      8.05276498978228, 8.19182633034048, 8.19182633034048, 7.50210394472385,      8.27332873959955, 7.86314261154951, 7.86314261154951, 7.70120549943486,      8.58683984966127, 8.66747718420982, 8.51090417959469, 8.20083785223568,      8.77938926255451, 8.73211086874077, 8.52269583143835, 8.37940280964872,      6.59778313634683, 8.70928269501252, 8.31995738049774), PROX_ELDERLYCARE = c(0.216787702409289,      0.599632276485302, 0.444818640633349, 0.444818640633349,      0.808331791227546, 0.354571010374291, 0.731462959428347,      0.731462959428347, 0.883817181840043, 0.203840329735754,      0.0441159965049124, 0.120425912751251, 0.41240614163537,      0.374310234303432, 0.292319821872094, 0.820777449495704,      0.335901694998922, 0.619464736019043, 0.119444653145476,      0.259768432786295), PROX_HAWKER = c(0.778265933598076, 0.560005371648267,      0.553760551741158, 0.553760551741158, 0.932792437987216,      0.610975272844239, 0.573870222021737, 0.573870222021737,      0.72907919143595, 0.433030813326955, 0.357845486047337, 0.166697492306482,      0.35604829505958, 0.0530841043788875, 0.436547444862961,      0.712401259368985, 0.203869560106314, 1.00589931737343, 0.281172749103646,      0.387410687724852), PROX_MRT = c(0.910191895307983, 1.12051759514643,      1.08457427678223, 1.08457427678223, 0.506174946521629, 1.0936063211659,      0.85984195598231, 0.85984195598231, 0.692418360175919, 0.751078096441513,      0.874328108605637, 0.608243230971526, 0.805467939952349,      1.18818107396501, 0.600073719023998, 1.68231360215177, 0.62312262100292,      0.372865816575034, 0.379410256905797, 0.705543842504761),          PROX_PARK = c(0.361681715476141, 0.30128672956265, 0.374102285306053,          0.374102285306053, 0.621272392201987, 0.477465658778908,          0.281207712521794, 0.281207712521794, 0.450335295656325,          0.52118662053352, 0.691303172853456, 0.368529270986479,          0.393072899865764, 0.700959888788064, 0.617507126900098,          0.11043559696871, 0.394842599629624, 0.432673847047101,          0.513364518506117, 0.517920409018535), PROX_GOOD_PRISCH = c(0.353240700451805,          0.631981624625733, 0.769163347741007, 0.769163347741007,          0.343243332218702, 0.856939381531897, 0.562813849840511,          0.562813849840511, 0.490611064856358, 1.16640042723588,          1.23754792076915, 1.13331232297991, 1.04754826657838,          0.963274696928036, 1.31940815963163, 0.287100670168393,          1.14854892992093, 0.909917905905181, 1.35677240305411,          1.20021801549651), PROX_MALL = c(0.987031177772312, 1.07178760783233,          0.997182626507123, 0.997182626507123, 0.584674138925751,          0.991200103712322, 0.943364056194349, 0.943364056194349,          0.779066462317335, 0.632538285087724, 0.740457696387364,          0.540250505232014, 0.844084234929545, 0.946404029132472,          0.469553394647833, 1.03817238314954, 0.651389947232486,          0.324462922438517, 0.313890580083005, 0.768764019555169         ), PROX_CHAS = c(0.371562543403755, 0.167974733321899,          0.311461966699573, 0.311461966699573, 0.169910439255117,          0.413431749899638, 0.201852081003395, 0.201852081003395,          0.0405139203460024, 0.237191200694799, 0.34300149800099,          0.0869956868442428, 0.0460460495231756, 0.064920565519497,          0.0664211666443358, 0.0550867573210672, 0.11938167830482,          0.0558741615176373, 0.112175615725657, 0.1066489590073         ), PROX_SUPERMARKET = c(0.176585087131714, 0.372458117254617,          0.485938543293979, 0.485938543293979, 0.26407208892283,          0.502190497784501, 0.115543350477338, 0.115543350477338,          0.0588346413192393, 0.35437102597818, 0.158725757407685,          0.0869967242830128, 0.436961702644775, 0.239175324970861,          0.350370254212894, 0.153408018077838, 0.282093113359979,          0.173430033183904, 0.221335227738319, 0.284909088626731         ), WITHIN_350M_KINDERGARTEN = c(0L, 3L, 0L, 0L, 2L, 0L,          4L, 4L, 4L, 1L, 0L, 2L, 1L, 1L, 1L, 0L, 1L, 1L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(1L, 3L, 2L, 2L, 3L, 4L,          3L, 3L, 4L, 5L, 2L, 6L, 2L, 2L, 6L, 3L, 4L, 3L, 7L, 3L         ), WITHIN_350M_BUS = c(5L, 5L, 7L, 7L, 4L, 8L, 2L, 2L,          4L, 4L, 5L, 5L, 7L, 4L, 7L, 6L, 6L, 7L, 6L, 7L), WITHIN_1KM_PRISCH = c(0L,          1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L,          2L, 3L, 2L, 4L, 2L), DNeighbour = c(0, 509.301004210294,          581.263082670937, 587.961219966903, 619.924616470574,          634.337981998473, 647.917180602224, 654.754770171017,          668.102175480225, 994.443754928727, 1021.98428040438,          1040.54650147655, 1118.46765779937, 1123.8662427889,          1157.22610336578, 1159.50559060601, 1160.88681122425,          1230.1803100317, 1266.22261778992, 1266.73642503351)), row.names = c("935",      "635", "128", "674", "460", "795", "476", "931", "811", "149",      "331", "94", "79", "606", "842", "588", "998", "957", "446",      "716"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.702830199332703,      0.62321773969479, 0.615535556088377, 0.578360477711137, 0.561351359866515,      0.54520899806732, 0.537042392967135, 0.521035808557493, 0.147230303015586,      0.121869091501697, 0.105779906032794, 0.0485741719643436,      0.0453057121716468, 0.0273663500282206, 0.0262883043385157,      0.0256446095803453, 0.00323581105606399, 6.57827075397971e-07,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6063615402 
R squared (OOB):                  0.08043846 

$Forests[[936]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(398888, 385000, 405000,      370000, 385000, 353000, 330000, 369988, 365000, 350000, 370000,      390000, 345000, 330000, 378888, 356888, 425000, 370000, 374000,      375000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 85, 91,      91, 91, 90, 100, 85, 91, 90, 91, 92, 90, 94, 90), storey_order = c(6L,      4L, 6L, 3L, 5L, 1L, 4L, 4L, 5L, 1L, 2L, 6L, 6L, 3L, 6L, 5L,      3L, 3L, 3L, 4L), remaining_lease_mths = c(1127, 1138, 1138,      1127, 1140, 1136, 992, 1002, 993, 992, 1016, 942, 968, 951,      949, 963, 1059, 997, 987, 986), PROX_CBD = c(12.9439612539798,      12.9439612539798, 12.9439612539798, 12.9599687546274, 12.9599687546274,      12.9273038019752, 13.0825190214061, 13.2138793761114, 13.2138793761114,      12.6773565587662, 13.0393088300804, 12.9172885276263, 13.131637538161,      12.402570085049, 12.4403773011877, 13.1584578321731, 13.6873856248974,      13.5299248791723, 13.4804039164095, 13.5741440973944), PROX_ELDERLYCARE = c(0.119102012768026,      0.119102012768026, 0.119102012768026, 0.230213196902471,      0.230213196902471, 0.250608726248769, 0.120371550198491,      0.200446926946864, 0.200446926946864, 0.36284597954094, 0.38924985743242,      0.440978457512705, 0.425459762987539, 0.628872951670854,      0.624054710630084, 0.528614390300154, 0.720975229682918,      0.737190256849548, 0.746393599063579, 0.759293685927778),          PROX_HAWKER = c(2.07494386608678, 2.07494386608678, 2.07494386608678,          2.16699861471209, 2.16699861471209, 2.14952956067865,          1.90213677974947, 1.87231067409155, 1.87231067409155,          1.72249172765999, 1.75849952292251, 1.76689210194785,          1.67102672130552, 1.50745216628998, 1.46996215979098,          1.59466084315792, 1.83406121528111, 1.28441999759135,          1.28815813567136, 1.13978469441664), PROX_MRT = c(0.464899886897548,          0.464899886897548, 0.464899886897548, 0.576831878931421,          0.576831878931421, 0.585364307317434, 0.30821900832469,          0.348476568009787, 0.348476568009787, 0.142163643631393,          0.103022581922205, 0.0642144868642362, 0.197259382412543,          0.198968515523371, 0.140157494228817, 0.258879114766752,          0.19923660487806, 0.189597864599581, 0.26513727845816,          0.147719870982538), PROX_PARK = c(0.700809394437081,          0.700809394437081, 0.700809394437081, 0.828547076231476,          0.828547076231476, 0.834972281659159, 0.557623544885242,          0.701388397724732, 0.701388397724732, 0.484105342641425,          0.291844359651056, 0.18581491955197, 0.350705699368152,          0.61879465488716, 0.525489875872169, 0.332476768251147,          0.855123415409032, 0.695004999747215, 0.640650351334918,          0.739375101722708), PROX_GOOD_PRISCH = c(4.27162250172191,          4.27162250172191, 4.27162250172191, 4.35761410397793,          4.35761410397793, 4.33782029579385, 4.27923006279343,          4.43819501492863, 4.43819501492863, 3.92066991749349,          4.09066115622083, 3.96344124390297, 4.16094245740848,          3.69141799128789, 3.6640626331803, 4.13557899544262,          4.98236347160825, 4.45977917937361, 4.38951064564596,          4.41976113712118), PROX_MALL = c(0.646092130793046, 0.646092130793046,          0.646092130793046, 0.630320880177991, 0.630320880177991,          0.664096204002356, 0.482494809972804, 0.411800643307333,          0.411800643307333, 0.485078273736912, 0.199839805040887,          0.125441786165087, 0.249640338015364, 0.407881748949563,          0.37643645467035, 0.231810009894563, 0.138188079312201,          0.598877544697789, 0.548104683226502, 0.656440732478167         ), PROX_CHAS = c(0.136400058110832, 0.136400058110832,          0.136400058110832, 0.256311352337612, 0.256311352337612,          0.273668945808659, 0.1115602293269, 0.186991486151685,          0.186991486151685, 0.334175310205776, 0.19843851708658,          0.146232137849481, 0.23569948169583, 0.407881782403473,          0.376436475429729, 0.20604200841638, 0.138188055488585,          0.124645472322039, 0.196586841411628, 0.175269995719201         ), PROX_SUPERMARKET = c(0.636728053790567, 0.636728053790567,          0.636728053790567, 0.621743565428055, 0.621743565428055,          0.655577492568061, 0.482493892596986, 0.40197012970004,          0.40197012970004, 0.485077395132212, 0.199839014107547,          0.125440795942109, 0.249639808314143, 0.451295114828249,          0.426522673463594, 0.231809873410795, 0.147450463248511,          0.181636181040517, 0.253358431108118, 0.3594639622224         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 2L, 2L, 1L, 0L, 0L, 1L, 1L, 4L, 3L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 3L, 3L, 3L,          7L, 5L, 5L, 8L, 8L, 9L, 5L, 3L, 4L, 6L, 6L, 5L, 5L, 6L         ), WITHIN_350M_BUS = c(3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L,          2L, 13L, 7L, 9L, 7L, 9L, 11L, 7L, 7L, 8L, 9L, 10L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 5L, 6L, 6L, 4L, 7L, 7L, 7L, 4L, 4L,          7L, 5L, 6L, 5L, 9L), DNeighbour = c(0, 6.81500520562817,          7.11156667736023, 125.054834678693, 127.045233285483,          138.318867254224, 242.343616351311, 292.958630011387,          297.332008931906, 354.485803869045, 502.054851311134,          532.283418487386, 544.592688577432, 594.830155646518,          612.102967482385, 643.900580782857, 760.765633319148,          854.919729986947, 869.413476045824, 1027.72538778997)), row.names = c("936",      "732", "882", "990", "95", "462", "886", "313", "474", "400",      "141", "887", "153", "80", "444", "339", "4", "165", "72",      "15"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999912057529664,      0.999904237384179, 0.970606609174635, 0.969670760248936,      0.964100582718891, 0.891883088036599, 0.844089512125252,      0.83960438234112, 0.776210933960842, 0.57966492822149, 0.535465317478429,      0.517255764459738, 0.442238359404565, 0.416376660598534,      0.369008150677064, 0.204341593985337, 0.0948734076739692,      0.080856900333376, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       557888842 
R squared (OOB):                  0.01211876 

$Forests[[937]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(430000, 4e+05, 390000,      4e+05, 371000, 450000, 345000, 365000, 465000, 455000, 390000,      385000, 365000, 368000, 375000, 4e+05, 370000, 330000, 338000,      332000), floor_area_sqm = c(91, 91, 90, 90, 91, 93, 92, 91,      106, 106, 91, 90, 91, 100, 100, 100, 92, 105, 103, 104),          storey_order = c(4L, 2L, 2L, 3L, 2L, 4L, 2L, 5L, 2L,          4L, 2L, 3L, 4L, 2L, 5L, 5L, 3L, 1L, 4L, 3L), remaining_lease_mths = c(962,          956, 947, 953, 957, 950, 974, 965, 933, 933, 956, 1060,          1061, 937, 935, 923, 922, 896, 836, 838), PROX_CBD = c(17.4594236905894,          17.5146993337396, 17.5579663674298, 17.5759295796121,          17.630719557776, 17.4336546583772, 17.6174166659189,          17.6174166659189, 17.1401277939721, 17.1634204962367,          17.980006840849, 17.6242343596777, 17.5974072281911,          18.1853912561079, 18.2155576397088, 18.2155576397088,          18.2744201988815, 17.9794873864528, 18.1853470145009,          18.3394484051955), PROX_ELDERLYCARE = c(1.1429422216578,          1.21552371031002, 1.26304449634962, 1.07156662032258,          1.35614304544574, 0.825709875044437, 1.58663462608392,          1.58663462608392, 0.586863575497558, 0.565792923614884,          1.69038013517483, 0.892136309268664, 0.819477307137174,          1.83831888483507, 1.82774218733134, 1.82774218733134,          1.91030467455468, 1.20397588034421, 1.46334015610348,          1.68689945441126), PROX_HAWKER = c(0.704564458032275,          0.65109908849923, 0.610726758846462, 0.622851592932912,          0.550798352023498, 0.841716009165303, 0.699652587196505,          0.699652587196505, 0.685044657792881, 0.666841975849823,          0.32947027962251, 0.816419857336687, 0.922900854400271,          0.267411626133086, 0.218122417644225, 0.218122417644225,          0.292675997882175, 0.736691454978467, 0.490406092071559,          0.322806547864559), PROX_MRT = c(0.304209523777939, 0.367017506823782,          0.415424130147435, 0.449846795062068, 0.481509556817778,          0.463093751675267, 0.430901962912929, 0.430901962912929,          0.418422993771755, 0.463116738810145, 0.131298797620671,          0.729175757939742, 0.830609903675807, 0.186589372260449,          0.24629140143503, 0.24629140143503, 0.25859759791353,          1.05284557964442, 0.888080533877704, 0.722989849955079         ), PROX_PARK = c(0.515475588097358, 0.57589083993138,          0.622915525490857, 0.650211227804106, 0.706852169587072,          0.609424449579261, 0.815337468455046, 0.815337468455046,          0.454841043819919, 0.505224516024672, 0.597192139646456,          0.830497330619545, 0.751240825934154, 0.431621232177097,          0.449638685926872, 0.449638685926872, 0.366705585759005,          0.555889077383573, 0.741201414908801, 0.845903786092674         ), PROX_GOOD_PRISCH = c(6.79149624878531, 6.84682201594428,          6.89020500321914, 6.90999703096039, 6.96345421686322,          6.77374769998522, 6.95710824587607, 6.95710824587607,          6.48254224033906, 6.50789265243056, 7.31481473864251,          6.97273607492461, 6.95474206477502, 7.51998659904145,          7.54917724573578, 7.54917724573578, 7.60907430161507,          7.33264137396139, 7.52724739525134, 7.67457853159282),          PROX_MALL = c(0.366883459562171, 0.437698049352173, 0.488271313828636,          0.456006423255308, 0.581015113036356, 0.404491618549369,          0.753687860987251, 0.753687860987251, 0.306862579253759,          0.353588302636786, 0.38257003715367, 0.671391539314818,          0.757845794253982, 0.304347432784639, 0.249434383428027,          0.249434383428027, 0.31638525459609, 0.387548928263219,          0.362005799982455, 0.270650184250749), PROX_CHAS = c(0.293637386768921,          0.354009255575758, 0.40162373925963, 0.401255348981324,          0.481496129777697, 0.260153188296123, 0.430898255483663,          0.430898255483663, 0.133156315003352, 0.171584438209325,          0.131281394661179, 0.0497500971788425, 0.175468897673469,          0.186582621643492, 0.246283235408848, 0.246283235408848,          0.258594927218762, 0.324283073315245, 0.11010335009361,          0.186439783883369), PROX_SUPERMARKET = c(0.217741105325511,          0.288534867112482, 0.339170507836652, 0.338457664260807,          0.432325009404537, 0.355873580059747, 0.467885028141574,          0.467885028141574, 0.27639551573194, 0.320581809168482,          0.37748716441855, 0.442456788826315, 0.336744227428862,          0.289364184128333, 0.233030240431279, 0.233030240431279,          0.297968471640837, 0.337417678694655, 0.36017462873485,          0.279112228601587), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 0L, 1L, 1L, 1L,          1L, 1L, 2L, 7L, 4L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 5L, 6L, 4L, 4L, 4L, 3L, 4L, 5L, 2L, 3L, 7L, 7L, 7L,          7L, 3L, 4L, 4L), WITHIN_350M_BUS = c(8L, 10L, 9L, 8L,          8L, 12L, 6L, 6L, 7L, 8L, 14L, 12L, 6L, 16L, 15L, 15L,          17L, 9L, 11L, 11L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          4L, 4L, 6L, 3L, 3L, 4L, 4L, 3L, 4L, 4L, 4L, 6L, 6L, 5L,          5L, 5L, 6L), DNeighbour = c(0, 71.6047123338793, 123.476099423066,          221.369112672151, 223.415426104154, 404.962658497181,          458.30996254285, 458.510012066452, 553.268386232118,          581.273508941211, 588.479376554203, 618.2598434261, 750.931190943951,          765.354680987546, 779.467932352212, 784.13441538423,          860.08996968112, 860.322141003636, 863.734226729196,          911.857838658147)), row.names = c("937", "93", "545",      "357", "547", "535", "14", "220", "530", "991", "910", "300",      "720", "31", "571", "643", "835", "870", "857", "693"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.987705302266813, 0.963663634311833, 0.885601676846857,      0.883542639989254, 0.644437695895545, 0.558579826430029,      0.558250159151845, 0.399242312942916, 0.352413072850054,      0.340479840783521, 0.291908872933629, 0.103567069298109,      0.0873296297091987, 0.072519656622462, 0.0678703807802244,      0.0121706530951947, 0.0120648917046795, 0.0105607382806015,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1165540739 
R squared (OOB):                  0.2492924 

$Forests[[938]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(483000, 535000, 518000,      495000, 537000, 5e+05, 425000, 553000, 520000, 455000, 412000,      455000, 393000, 360000, 362500, 420000, 468000, 448000, 450000,      395000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 104,      93, 93, 112, 104, 113, 103, 84, 103, 106, 106, 116, 106,      106), storey_order = c(2L, 3L, 2L, 2L, 4L, 3L, 3L, 4L, 3L,      1L, 2L, 5L, 2L, 3L, 3L, 3L, 5L, 3L, 4L, 2L), remaining_lease_mths = c(1129,      1131, 1132, 1131, 1128, 1131, 871, 1134, 1133, 896, 878,      824, 818, 811, 819, 874, 863, 827, 834, 834), PROX_CBD = c(13.9851487819813,      13.9851487819813, 14.0392008059995, 14.1234549986629, 14.1022978560303,      13.8777465201196, 14.0236082538335, 13.8021184722805, 13.7835124985007,      14.0913802169285, 14.1313829663274, 14.8805910833212, 14.8805910833212,      14.7472020389823, 14.3801998083441, 13.629257933267, 13.629257933267,      15.1039483662242, 15.1256206124729, 15.1256206124729), PROX_ELDERLYCARE = c(1.27246652758392,      1.27246652758392, 1.32747908409073, 1.35242241046818, 1.39999761805574,      1.14875617578224, 1.09340394122649, 1.08391670289184, 1.04590518035641,      1.71411655426264, 0.836104821253693, 1.53481387371296, 1.53481387371296,      1.19052284520552, 0.709377020411434, 0.207468408301612, 0.207468408301612,      1.55233595008815, 1.5866097118695, 1.5866097118695), PROX_HAWKER = c(0.59565400543288,      0.59565400543288, 0.543253862226502, 0.458626901673037, 0.488105393549706,      0.709523473368326, 0.594999289424802, 0.792084042786722,      0.817574416707151, 0.659732742059419, 0.73352935155883, 0.395563323563994,      0.395563323563994, 0.606039227085063, 0.928921275219278,      1.4012681206183, 1.4012681206183, 0.672854909342646, 0.674198133913936,      0.674198133913936), PROX_MRT = c(0.390641440388092, 0.390641440388092,      0.327704984287647, 0.250036690549804, 0.255700458734308,      0.526263367583387, 0.469886084443941, 0.615458599020507,      0.648112836468654, 0.410797330392975, 0.735653331318593,      0.650195396152393, 0.650195396152393, 0.807097621625513,      1.02650412956774, 0.681065013996815, 0.681065013996815, 0.927742831261867,      0.930587839854138, 0.930587839854138), PROX_PARK = c(0.580591669210194,      0.580591669210194, 0.547177414231792, 0.469588575534173,      0.52092144022497, 0.548712671125698, 0.504422356794811, 0.476945111703218,      0.438074957540257, 0.524242894978874, 0.463826523913091,      0.355836862982211, 0.355836862982211, 0.432698189125414,      0.71485218383349, 0.403276931712581, 0.403276931712581, 0.613453702116727,      0.625625874274951, 0.625625874274951), PROX_GOOD_PRISCH = c(2.55482099432271,      2.55482099432271, 2.61966269686357, 2.69456588548322, 2.69832814229385,      2.41902859908312, 2.51794344218072, 2.33081910479479, 2.3007469286795,      2.83541955823977, 2.52734391167264, 3.33079371618761, 3.33079371618761,      3.13467644284063, 2.72778429145315, 1.96779323327463, 1.96779323327463,      3.51513652285447, 3.54140201350838, 3.54140201350838), PROX_MALL = c(0.37312896686832,      0.37312896686832, 0.316340524018432, 0.232476208076891, 0.257523814996123,      0.498678106329343, 0.418819234777705, 0.585717052475653,      0.615576551193732, 0.471401908473598, 0.66282583229379, 0.390496575840073,      0.390496575840073, 0.738705771798207, 0.949257633150117,      1.12429495075828, 1.12429495075828, 0.472438990852491, 0.445444903624544,      0.445444903624544), PROX_CHAS = c(0.0604900109870272, 0.0604900109870272,      0.101753514952091, 0.147334233235439, 0.177701329016163,      0.133705064347241, 0.151261605672147, 0.221659659627321,      0.253975316505048, 0.471401941314913, 0.528800676490504,      0.448788349522024, 0.448788349522024, 0.19051372613691, 0.453083161817035,      0.260044927245007, 0.260044927245007, 0.353464796953762,      0.387886097439527, 0.387886097439527), PROX_SUPERMARKET = c(0.0604908810371704,      0.0604908810371704, 0.101754383553332, 0.147334782275979,      0.177702101069216, 0.133704798830233, 0.151260689076964,      0.221659301316653, 0.253974877653299, 0.471402360745676,      0.528799775767506, 0.447693008221967, 0.447693008221967,      0.326764101800336, 0.513065398645433, 0.288903462518554,      0.288903462518554, 0.429218479578941, 0.411626017932148,      0.411626017932148), WITHIN_350M_KINDERGARTEN = c(1L, 1L,      1L, 1L, 1L, 0L, 0L, 0L, 0L, 2L, 0L, 2L, 2L, 3L, 0L, 3L, 3L,      2L, 2L, 2L), WITHIN_350M_CHILDCARE = c(3L, 3L, 4L, 4L, 4L,      2L, 4L, 2L, 2L, 1L, 3L, 3L, 3L, 2L, 3L, 6L, 6L, 2L, 2L, 2L     ), WITHIN_350M_BUS = c(8L, 8L, 10L, 13L, 11L, 8L, 12L, 5L,      6L, 12L, 6L, 5L, 5L, 9L, 2L, 6L, 6L, 7L, 6L, 6L), WITHIN_1KM_PRISCH = c(1L,      1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L,      2L, 3L, 3L, 3L), DNeighbour = c(0, 6.50063687446818, 63.5697127293571,      135.022679061175, 143.647970932216, 144.733662915241, 211.532097000134,      238.231369024156, 272.563103734407, 442.033393809638, 587.76461289698,      923.593369174361, 931.337017990959, 948.309750250862, 969.927737422335,      1069.5362139243, 1072.46549546779, 1188.58352576763, 1200.80302675854,      1207.85872246292)), row.names = c("938", "819", "218", "212",      "815", "579", "51", "275", "380", "352", "695", "852", "639",      "136", "3", "503", "415", "188", "457", "483"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99994207003846, 0.994467819839355, 0.975163573478456, 0.971912408207549,      0.971489312873451, 0.939599759841582, 0.923710453148851,      0.900749851381992, 0.750077239068327, 0.582480155133904,      0.172478295774699, 0.164397398654708, 0.147142947192349,      0.126144416522399, 0.0466227466060884, 0.0447839626251729,      0.00100245990741448, 0.000135695909767866, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1730341958 
R squared (OOB):                  0.4880345 

$Forests[[939]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(393000, 432000, 438000,      385000, 425000, 431000, 432000, 438000, 435000, 430000, 448000,      440000, 450000, 420000, 425000, 323000, 395000, 358000, 450000,      445000), floor_area_sqm = c(93, 93, 93, 93, 94, 92, 92, 94,      95, 92, 96, 96, 94, 94, 94, 90, 94, 93, 93, 94), storey_order = c(2L,      5L, 4L, 1L, 5L, 7L, 6L, 5L, 6L, 6L, 9L, 7L, 7L, 7L, 6L, 1L,      4L, 1L, 9L, 6L), remaining_lease_mths = c(1134, 1138, 1132,      1134, 1083, 1138, 1137, 1076, 1105, 1126, 1110, 1108, 1119,      1120, 1119, 983, 1113, 1103, 1136, 1109), PROX_CBD = c(11.7767430748854,      11.7767430748854, 11.710716376044, 11.6526890235784, 11.8751655684431,      11.9317097346946, 11.9317097346946, 11.9414743986494, 11.6071858552171,      12.0797672032522, 11.5810624146691, 11.6053344020152, 12.0119641769274,      12.0119641769274, 11.9828723130509, 12.0200214112876, 11.9744040829633,      11.8075546541859, 12.1741021183779, 12.1122271384014), PROX_ELDERLYCARE = c(0.813774711283767,      0.813774711283767, 0.893667704764373, 0.935812608446987,      0.727329111385366, 0.680106913101551, 0.680106913101551,      0.687500817542951, 1.02315858897206, 0.550577233037288, 1.05973522725621,      1.04503450829128, 0.673044116243487, 0.673044116243487, 0.710325725805382,      0.618171206910468, 0.738781707341689, 0.922118515238085,      0.519600844901231, 0.629785153682861), PROX_HAWKER = c(0.340776861445006,      0.340776861445006, 0.445365536494089, 0.34883542271072, 0.145379780608352,      0.161367564791002, 0.161367564791002, 0.147098227142532,      0.193888136950838, 0.286867197183981, 0.226379932511381,      0.210992660312359, 0.222580914455278, 0.222580914455278,      0.20448046373977, 0.743318510800665, 0.217370340361849, 0.209140712961875,      0.375471053349032, 0.337796349528525), PROX_MRT = c(0.162476645519961,      0.162476645519961, 0.261259630709371, 0.28284034831035, 0.191731142133254,      0.214149342621172, 0.214149342621172, 0.183575431830776,      0.216093917824789, 0.285059794417971, 0.233016580221366,      0.206803096961617, 0.201095784108649, 0.201095784108649,      0.170867756883987, 0.291532437270123, 0.167322140356011,      0.120215557602138, 0.338849049026276, 0.302747284955937),          PROX_PARK = c(0.615413214289157, 0.615413214289157, 0.569724311118431,          0.489736206412745, 0.723512884628395, 0.785212145526225,          0.785212145526225, 0.807374064658721, 0.521580333579447,          0.747342190235743, 0.520771390450273, 0.554363925008431,          0.691047645736797, 0.691047645736797, 0.697136724289492,          0.871053837980522, 0.679906922269617, 0.747098338531098,          0.612679613149166, 0.576425078157325), PROX_GOOD_PRISCH = c(2.03585243074848,          2.03585243074848, 1.9723226064342, 1.91178525383739,          2.14229157607785, 2.20126444296921, 2.20126444296921,          2.21615815400514, 1.89230283405924, 2.35145083667271,          1.87254500118751, 1.90056431650247, 2.29976812492723,          2.29976812492723, 2.27447890050516, 2.31713852475231,          2.27223739349538, 2.12338877581429, 2.45580221931744,          2.408030235171), PROX_MALL = c(0.437539575450179, 0.437539575450179,          0.535719768985538, 0.427385274755512, 0.249449426365425,          0.255684281538694, 0.255684281538694, 0.22663965361209,          0.173810560938293, 0.356578632219481, 0.185878129611589,          0.158081786709397, 0.251262654177611, 0.251262654177611,          0.220402811054307, 0.859289251142989, 0.214069216816763,          0.119447773727589, 0.416829357908565, 0.350899017798137         ), PROX_CHAS = c(0.108183414657245, 0.108183414657245,          0.215330181794506, 0.225869963934761, 0.179410689617013,          0.203726500797623, 0.203726500797623, 0.156140837156126,          0.173810611614792, 0.146949814741425, 0.185878170229198,          0.158081821824728, 0.131248018016709, 0.131248018016709,          0.0995919009989899, 0.310908028614088, 0.0939357367291076,          0.11944771257822, 0.0461624602204791, 0.0703863092474096         ), PROX_SUPERMARKET = c(0.108294583955479, 0.108294583955479,          0.215506457059651, 0.225911825558638, 0.179159947933279,          0.217804588957955, 0.217804588957955, 0.236998053946951,          0.1671684124578, 0.315486318912089, 0.177355035948325,          0.148884454693003, 0.261515416493987, 0.261515416493987,          0.230351837454113, 0.507879796624066, 0.22318738818849,          0.119571834445138, 0.427183407476201, 0.360308355053667         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L, 3L, 7L, 6L,          6L, 6L, 4L, 5L, 4L, 4L, 6L, 6L, 6L, 1L, 7L, 4L, 7L, 7L         ), WITHIN_350M_BUS = c(4L, 4L, 2L, 4L, 6L, 8L, 8L, 8L,          6L, 9L, 7L, 8L, 6L, 6L, 7L, 6L, 10L, 10L, 5L, 7L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          4L, 3L, 3L, 3L, 3L), DNeighbour = c(0, 2.33073963192707,          108.749597779494, 123.580823907092, 245.942157040679,          298.755547897684, 298.803897509464, 349.90942186558,          391.861141142372, 418.270089719264, 442.663973126956,          449.882044415452, 475.731131175224, 477.801611752108,          490.327736265418, 505.690916834067, 518.636470968908,          549.526307610204, 554.014456095582, 582.815603938455)), row.names = c("939",      "325", "384", "309", "250", "613", "392", "781", "922", "900",      "182", "158", "947", "167", "203", "909", "858", "724", "621",      "607"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999968014606113,      0.931577971291504, 0.912098726442305, 0.675560260202276,      0.543513572670571, 0.543388165634388, 0.409020060094739,      0.300231427331222, 0.23517433317688, 0.179029937179178, 0.163339401805133,      0.111364916648463, 0.107519441284586, 0.0853808197064139,      0.0610835427060136, 0.0433106018721243, 0.0123151501576497,      0.00929150376559276, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       869317388 
R squared (OOB):                  0.2085963 

$Forests[[940]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 347000, 380000,      420000, 370000, 325000, 335000, 680000, 660000, 390000, 365000,      735000, 3e+05, 380000, 350000, 388800, 333000, 562000, 540000,      4e+05), floor_area_sqm = c(90, 90, 92, 92, 84, 82, 83, 87,      87, 92, 83, 97, 92, 92, 92, 98, 89, 107, 107, 92), storey_order = c(2L,      5L, 2L, 5L, 3L, 4L, 3L, 6L, 3L, 1L, 1L, 6L, 2L, 4L, 4L, 2L,      1L, 7L, 6L, 4L), remaining_lease_mths = c(672, 672, 687,      694, 673, 666, 687, 1076, 1066, 685, 777, 1066, 691, 693,      688, 697, 692, 957, 969, 690), PROX_CBD = c(10.5036676165143,      10.5036676165143, 10.571248724537, 10.5902646894981, 10.6549850760698,      10.0782341562763, 10.5501175985891, 10.1126951054664, 10.1126951054664,      10.3184291669162, 11.0884508558618, 9.96973817000633, 10.7273754880637,      10.7273754880637, 10.7428660694501, 10.7178846249378, 10.7178846249378,      10.9472701195372, 11.0486323727393, 9.59976569988281), PROX_ELDERLYCARE = c(0.346712236264009,      0.346712236264009, 0.426373779355343, 0.476382036969741,      0.531453703929196, 0.248412112584261, 0.724362239545807,      0.511544492658224, 0.511544492658224, 0.724299376510179,      1.02650055154577, 0.560133969723593, 0.968089576161562, 0.968089576161562,      1.00386291289403, 0.903749132751209, 0.903749132751209, 0.867518349265545,      0.974567200018427, 0.239547661796275), PROX_HAWKER = c(0.255376275980047,      0.255376275980047, 0.155284554597335, 0.142004884371921,      0.345053577007401, 0.250435976222025, 0.496328097640832,      0.268370020499938, 0.268370020499938, 0.285348407142059,      0.698836827436486, 0.246219700947935, 0.259491073356982,      0.259491073356982, 0.19921426515349, 0.131164348467149, 0.131164348467149,      0.429153921265228, 0.436692566666558, 0.436761476721694),          PROX_MRT = c(0.908007357991278, 0.908007357991278, 0.822399768635659,          0.793335563342317, 0.849090589690401, 0.622308556906305,          0.92637591011884, 0.549740095282867, 0.549740095282867,          0.752281430413819, 0.761094255738083, 0.405168801785449,          0.880392787161762, 0.880392787161762, 0.911557541227745,          0.897030842789514, 0.897030842789514, 0.638393210693291,          0.741783227751877, 0.619962862184004), PROX_PARK = c(0.381418159266178,          0.381418159266178, 0.471129460807546, 0.57091664624863,          0.204920490916151, 0.627458410441261, 0.888350706343443,          0.878497256111703, 0.878497256111703, 1.05219739289641,          0.300475000526789, 0.868342722448078, 0.675703893946554,          0.675703893946554, 0.65460215425144, 0.68415716278098,          0.68415716278098, 0.730900012581548, 0.644279497097323,          0.957886982704992), PROX_GOOD_PRISCH = c(0.825686703361669,          0.825686703361669, 0.876989954992127, 0.962114901666907,          0.576127248022356, 1.26151864262594, 1.37609088117382,          1.46177539101005, 1.46177539101005, 1.54472866778257,          0.293049282005855, 1.55873028154778, 1.51964159199475,          1.51964159199475, 1.57772010642862, 1.69245386393467,          1.69245386393467, 1.50789829567152, 1.50173151878208,          2.35345437748376), PROX_MALL = c(0.873995522285645, 0.873995522285645,          0.872531493441133, 0.838333779631814, 1.12054305374088,          0.418279044459304, 0.693136328895784, 0.269774803261538,          0.269774803261538, 0.472532088410597, 1.6122764231009,          0.129560175686973, 0.885934538444454, 0.885934538444454,          0.913300066979642, 0.922177591154216, 0.922177591154216,          1.34630282297423, 1.41292867182356, 0.387669919047214         ), PROX_CHAS = c(0.217153936659979, 0.217153936659979,          0.109732367463933, 0.0950095589968322, 0.290835710912963,          0.186550674976261, 0.120595382532287, 0.20472250196774,          0.20472250196774, 0.165961529218061, 0.206694589078668,          0.0647243745052949, 0.161497017697243, 0.161497017697243,          0.184868017131885, 0.141741960002869, 0.141741960002869,          0.344403926608958, 0.375455350402476, 0.263208245292117         ), PROX_SUPERMARKET = c(0.291549431934698, 0.291549431934698,          0.199099262156692, 0.190547463602814, 0.292451786949051,          0.255147915067147, 0.448117335537485, 0.35798039621586,          0.35798039621586, 0.447507928623339, 0.293331714819264,          0.241122798862169, 0.294310303883692, 0.294310303883692,          0.247977273863763, 0.141741503991008, 0.141741503991008,          0.381194313170787, 0.408205375796458, 0.44091986097032         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 1L, 1L,          2L, 1L, 1L, 1L, 1L, 0L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L, 2L, 1L, 5L,          2L, 6L, 6L, 4L, 3L, 6L, 3L, 3L, 3L, 4L, 4L, 0L, 0L, 4L         ), WITHIN_350M_BUS = c(6L, 6L, 5L, 6L, 7L, 5L, 6L, 6L,          6L, 7L, 8L, 7L, 4L, 4L, 5L, 6L, 6L, 2L, 2L, 11L), WITHIN_1KM_PRISCH = c(2L,          2L, 2L, 2L, 2L, 2L, 5L, 3L, 3L, 5L, 1L, 2L, 5L, 5L, 5L,          5L, 5L, 4L, 3L, 3L), DNeighbour = c(0, 6.65712046618884,          117.540627459353, 213.24531634222, 252.936692007003,          484.466531614421, 607.806463299511, 637.289196811486,          638.47359134433, 730.389733614581, 742.846194612185,          751.149842133623, 812.729418628377, 817.447466709319,          878.868677838984, 976.048046280771, 984.637081731221,          1504.03166004463, 1507.09302043759, 1536.27874851614)), row.names = c("940",      "482", "210", "701", "728", "84", "778", "316", "506", "97",      "98", "471", "648", "651", "43", "429", "914", "255", "630",      "964"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999962445783627,      0.988326718342734, 0.961836794451525, 0.946520526255141,      0.810997426507769, 0.711445898918237, 0.685449774859531,      0.684390091427062, 0.599026991522623, 0.587051506606876,      0.579024490058976, 0.518591331370531, 0.513908420344284,      0.452563897541647, 0.355636215548181, 0.347176821777813,      0.00172558667718461, 0.00141635130564787, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4028622424 
R squared (OOB):                  0.7657785 

$Forests[[941]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(423800, 415000, 390000,      4e+05, 390000, 450000, 478000, 435000, 430000, 550000, 410000,      548000, 447000, 360000, 425000, 429000, 422800, 438000, 420000,      615000), floor_area_sqm = c(104, 104, 102, 91, 103, 105,      104, 103, 103, 93, 104, 93, 107, 84, 104, 104, 104, 104,      105, 84), storey_order = c(2L, 2L, 2L, 1L, 1L, 2L, 5L, 4L,      2L, 3L, 2L, 4L, 3L, 2L, 3L, 2L, 4L, 2L, 2L, 2L), remaining_lease_mths = c(756,      760, 763, 783, 773, 757, 770, 819, 764, 1137, 761, 1135,      782, 762, 747, 822, 813, 812, 787, 1122), PROX_CBD = c(11.7174653186763,      11.6914583773846, 11.6387779682198, 11.4963900230166, 11.9179556382635,      11.4573592114175, 11.927322045494, 11.381621166991, 12.3243460542753,      11.2116042179965, 12.2901811097239, 11.1809634086998, 11.7840832214562,      11.4815172953657, 12.4246534304877, 11.1191912667925, 11.1672746170477,      11.7215458353159, 12.7549887608908, 12.3801819754074), PROX_ELDERLYCARE = c(0.74375074589335,      0.736997311630605, 0.792216801753581, 0.672630859926948,      0.757050983431463, 0.52883250894194, 0.77464979732367, 0.382123855460196,      0.362207242709056, 0.369355324070756, 0.180150537957213,      0.333450295290741, 0.481333190444255, 0.182032582488253,      0.223353489993969, 0.213121327483379, 0.14075304944647, 0.240093333498969,      0.556485595404089, 0.738453704244922), PROX_HAWKER = c(0.5637831570093,      0.558671781535233, 0.61454926069889, 0.804785607263954, 0.581821713307667,      0.848364442784946, 0.445987433628815, 0.863892291353285,      0.290415492755609, 1.02311573056961, 0.155357947035291, 1.04207495818587,      0.436117874461739, 0.728271246274353, 0.283538945902673,      1.08329799955244, 1.04840790050398, 0.609281739536534, 0.627642822312809,      0.261296216065877), PROX_MRT = c(0.162940637784707, 0.140110279979828,      0.0844107562606101, 0.132306565433056, 0.401552834915971,      0.275269590424193, 0.493642118682657, 0.424871345706255,      0.559245805822074, 0.524888394814585, 0.729338839878115,      0.580267989687754, 0.81394482428473, 0.756359380624344, 0.694199692700576,      0.776456939054752, 0.893429463565323, 0.989064774064853,      0.561554903993597, 0.367154517888221), PROX_PARK = c(1.5229705853841,      1.50772581466401, 1.51709061898346, 1.41209410927924, 1.26489639581012,      1.3775538710324, 1.17760662255222, 1.31830174708739, 1.218970746516,      1.15338615463339, 1.26762597166046, 1.13378306757762, 1.20101103678102,      1.50398184725757, 1.19561442246869, 1.13833451608328, 1.25063890429238,      1.28416187507733, 1.16122098497616, 0.605799570777928), PROX_GOOD_PRISCH = c(0.440184840714675,      0.476923220580037, 0.453346371612442, 0.364349890680966,      0.374797987706521, 0.277148461253506, 0.289303568244907,      0.288839241027683, 0.889618707353532, 0.456074275886943,      0.992456269301591, 0.485317217067727, 0.357669915539773,      0.365254403810308, 1.09898709469432, 0.586469336292635, 0.623353133039123,      0.585140695782779, 1.29435567579286, 0.823417580851307),          PROX_MALL = c(0.750703947848918, 0.797799046209296, 0.815834004295584,          0.844787863205902, 0.498039402667872, 0.815329638117364,          0.376851773239706, 0.849953313581112, 0.471904090765479,          1.01522535242687, 0.649064194608972, 1.03968747299659,          0.489619370966043, 0.763531318053358, 0.626909601034773,          1.10160019948421, 1.08293003315278, 0.690287469384684,          0.542723135774117, 0.344173235497563), PROX_CHAS = c(4.64133788220832e-08,          0.0474151678735614, 0.0804697697946077, 0.0697008731150885,          0.258806234431974, 0.179820414455961, 0.339292519878925,          0.115324197479935, 0.193597629002809, 0.206252010873132,          0.128297543182753, 0.216965800691496, 0.0667093090499658,          0.0516610437101642, 0.221655673315632, 0.143881852296294,          0.151540147087551, 0.164718468919614, 0.144180959238343,          0.126495411341712), PROX_SUPERMARKET = c(0.609798994765399,          0.635527990773791, 0.596048194106483, 0.441950593919319,          0.542179538393358, 0.301981775400679, 0.405378875546255,          0.186698572696543, 0.331501685351864, 0.222574928361305,          0.159863951308791, 0.212835414763751, 0.379080894647373,          0.19171128272723, 0.209750471448386, 0.246182427713253,          0.299482732316256, 0.169255457402684, 0.150188458093997,          0.30203349112312), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 2L, 0L, 4L, 0L, 2L, 0L, 2L, 2L,          2L, 2L, 2L, 2L), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L,          2L, 2L, 4L, 2L, 4L, 4L, 4L, 5L, 3L, 3L, 5L, 5L, 5L, 6L,          6L, 3L, 3L), WITHIN_350M_BUS = c(5L, 6L, 6L, 8L, 7L,          7L, 9L, 10L, 4L, 6L, 3L, 7L, 7L, 14L, 4L, 9L, 14L, 10L,          7L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          4L, 3L, 6L, 2L, 5L, 2L, 4L, 3L, 5L, 2L, 2L, 3L, 5L, 4L         ), DNeighbour = c(0, 49.2955780989199, 73.4940167737926,          238.93729849778, 265.710311471499, 357.497251088107,          383.942363402108, 505.478502805041, 631.89994879615,          637.932629082474, 663.354165169697, 690.861752491776,          778.408243922366, 784.192292951316, 788.608895223055,          866.518478678786, 965.579992290715, 1022.38601911693,          1073.68531735017, 1086.45859942974)), row.names = c("941",      "274", "522", "151", "63", "843", "666", "744", "861", "347",      "518", "178", "340", "213", "186", "845", "528", "625", "215",      "315"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.995886871359169,      0.990869116210413, 0.905606981015485, 0.883952924041789,      0.795177540661775, 0.76582856520999, 0.613933866767617, 0.437879589964923,      0.429332803107815, 0.393392057525767, 0.354800598556091,      0.236857072116004, 0.229462775491609, 0.223859448526365,      0.132419054738403, 0.0441587951409387, 0.0131033054429496,      0.00054640875824428, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2670571403 
R squared (OOB):                  0.2917927 

$Forests[[942]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(375000, 369000, 385000,      485000, 390000, 455000, 376000, 335000, 398000, 368000, 395000,      388000, 373000, 360000, 325000, 389000, 370000, 418888, 408000,      325000), floor_area_sqm = c(90, 94, 101, 93, 101, 93, 101,      93, 100, 100, 101, 100, 103, 104, 84, 103, 98, 100, 100,      85), storey_order = c(5L, 5L, 3L, 7L, 4L, 3L, 2L, 5L, 2L,      2L, 4L, 4L, 1L, 2L, 5L, 2L, 2L, 2L, 4L, 1L), remaining_lease_mths = c(946,      942, 952, 1137, 932, 1139, 948, 921, 924, 923, 936, 922,      870, 804, 812, 863, 912, 932, 921, 830), PROX_CBD = c(10.5038890156487,      10.5038890156487, 10.5394819073022, 10.5587309121129, 10.247812625002,      10.5974154418399, 10.1515839247586, 10.6321305837804, 10.2027088676681,      10.5911430304609, 10.5347600839054, 10.3133134299625, 9.95029435977204,      10.0879656312395, 9.87023127008802, 9.90721965789512, 10.6430674352334,      9.64941173000682, 10.7481925626994, 10.1989356004427), PROX_ELDERLYCARE = c(1.64894906385774,      1.64894906385774, 1.55101586165687, 1.80931542236799, 1.89270432318243,      1.80859644276987, 1.93850967877536, 1.32435226249417, 1.63738856945076,      1.2745451415541, 1.31633228018286, 1.4124150938613, 2.09611483432966,      1.31022889057949, 1.35138892750767, 2.17440400131014, 1.10983952182968,      1.9510043332774, 1.00181077128688, 1.08623091115154), PROX_HAWKER = c(0.53455823354733,      0.53455823354733, 0.463304434183495, 0.792644050178693, 0.561647681218514,      0.832920293493618, 0.608980172673109, 0.382898898882956,      0.264427923442986, 0.314632743063994, 0.259744380023822,      0.0623262564011618, 0.876506442172381, 0.196699811405185,      0.410023469086153, 1.08766938871094, 0.494234864614673, 0.940071074791988,      0.591883114810231, 0.368744432216956), PROX_MRT = c(1.36742764633517,      1.36742764633517, 1.31136747445593, 1.33157685526365, 1.63637339364314,      1.28588132880872, 1.73271025710532, 1.20430491709432, 1.392302848886,      1.14211364891441, 1.15842683571226, 1.09471398918577, 1.8917195123599,      1.09046737609619, 1.23646610314009, 1.9078610258369, 0.91242151857363,      1.69853939108909, 0.80807654444201, 0.78040997284139), PROX_PARK = c(0.486479545769779,      0.486479545769779, 0.594979546415276, 0.251058120460841,      0.443665461164749, 0.248039629274522, 0.464183104254495,      0.852996238213812, 0.728383914708498, 0.997953552798557,      1.00657829367171, 0.826294351272671, 0.516721166595223, 0.604882226694947,      0.375073916060521, 0.551504280527303, 1.09293299728603, 0.624691995850973,      1.13130385684233, 0.808282577864154), PROX_GOOD_PRISCH = c(0.819356328881161,      0.819356328881161, 0.89296386953394, 0.819366619188368, 0.550324531917386,      0.856849085387122, 0.447003801568155, 1.09467860924251, 0.689163418131917,      1.15731102426836, 1.12709017589061, 0.993301788551023, 0.213708578130609,      0.87937610392538, 0.706117631385061, 0.299143542468678, 1.4206810513637,      0.107363170703005, 1.51127824976447, 1.199846441039), PROX_MALL = c(0.3366209001709,      0.3366209001709, 0.357726596913911, 0.516143411126369, 0.190941194230935,      0.562952549426665, 0.217974225134877, 0.512358501951296,      0.12742430838485, 0.441630162720786, 0.464767570965945, 0.450275200033962,      0.493813340134231, 0.441232897113797, 0.445899708163642,      0.701652802220213, 0.220538248250442, 0.625847194134012,      0.114469773448463, 0.663851500718272), PROX_CHAS = c(0.232134688144963,      0.232134688144963, 0.263233285458842, 0.236682264577822,      0.190941257524933, 0.235419924819913, 0.217974279370684,      0.394471723674887, 0.127424254451578, 0.327465416824022,      0.272565000598528, 0.071192987667569, 0.36937911638564, 0.177420148260447,      0.0764125853219005, 0.242250716663617, 0.0703959269798554,      0.134178633248207, 0.0793642323922721, 0.0710453772718398     ), PROX_SUPERMARKET = c(0.232133828519976, 0.232133828519976,      0.263232243208913, 0.236682533577294, 0.19229406714866, 0.23542039277371,      0.216455869736569, 0.447614574279886, 0.129189539659537,      0.441631117888638, 0.464768447350912, 0.330151298165832,      0.359694409353041, 0.320748009942088, 0.158655939798418,      0.157554225694085, 0.220538485726081, 0.344381560072065,      0.114469867006585, 0.00115080458448496), WITHIN_350M_KINDERGARTEN = c(2L,      2L, 2L, 2L, 3L, 2L, 1L, 2L, 0L, 1L, 1L, 1L, 2L, 0L, 1L, 2L,      0L, 3L, 1L, 0L), WITHIN_350M_CHILDCARE = c(5L, 5L, 6L, 7L,      10L, 7L, 9L, 3L, 6L, 1L, 1L, 4L, 7L, 5L, 5L, 6L, 2L, 3L,      4L, 4L), WITHIN_350M_BUS = c(11L, 11L, 15L, 10L, 10L, 10L,      10L, 12L, 13L, 13L, 15L, 15L, 12L, 11L, 8L, 10L, 13L, 8L,      10L, 12L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 3L, 4L, 3L,      4L, 4L, 4L, 4L, 4L, 4L, 3L, 5L, 5L, 2L, 6L, 3L, 6L, 4L),          DNeighbour = c(0, 5.39812956335775, 109.665371291464,          264.003435055258, 268.641816716513, 302.978075005583,          369.535822225774, 370.801080422297, 375.872332009047,          514.782092294346, 521.905300993854, 568.259749473879,          655.453174171593, 676.850584057414, 760.328920080189,          815.822230739693, 836.204462553323, 886.37680432971,          890.988203177641, 898.231638140098)), row.names = c("942",      "734", "769", "614", "667", "360", "366", "975", "771", "718",      "577", "513", "780", "292", "755", "629", "627", "459", "866",      "967"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999927767596669,      0.970410106760036, 0.834690870159, 0.829104981828182, 0.785395278271801,      0.690140566422952, 0.688212921417182, 0.680448120039887,      0.45097848914704, 0.438769350201328, 0.359715810474319, 0.21857111486282,      0.186781547493999, 0.0803627753805077, 0.030651315872853,      0.0177798146259476, 0.000687580314804792, 0.00025802580943496,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1052206797 
R squared (OOB):                  0.2937975 

$Forests[[943]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(468888, 688000, 480000,      535000, 653000, 5e+05, 742000, 729999, 745000, 682000, 5e+05,      478000, 4e+05, 4e+05, 360000, 7e+05, 413888, 363000, 649888,      533000), floor_area_sqm = c(92, 90, 92, 92, 91, 91, 92, 100,      100, 100, 91, 92, 104, 92, 92, 95, 88, 97, 87, 88), storey_order = c(3L,      6L, 3L, 3L, 2L, 1L, 7L, 6L, 10L, 10L, 2L, 4L, 4L, 3L, 2L,      3L, 2L, 4L, 3L, 1L), remaining_lease_mths = c(701, 985, 692,      694, 1121, 690, 1104, 1122, 1122, 1120, 706, 716, 745, 708,      719, 1100, 668, 701, 1103, 653), PROX_CBD = c(9.79963982832759,      9.84174458192399, 9.76973796844692, 9.76973796844692, 9.51816518584724,      10.2183960492338, 9.57467117229508, 9.41601606571959, 9.28682806708392,      9.28682806708392, 10.2657373615824, 9.58813304663833, 9.4187827620762,      10.1748545259067, 10.2629321739313, 7.97001655790022, 7.88501742637481,      12.1013944735855, 7.02256530608061, 6.92829321613491), PROX_ELDERLYCARE = c(0.390845215421192,      0.339166460968835, 0.487200680071974, 0.487200680071974,      0.0590206014568566, 0.670964346371623, 0.0836678964153836,      0.14515851054369, 0.306248896776786, 0.306248896776786, 0.519949541574078,      0.251441869005946, 0.579996323717894, 0.889757070081441,      1.00265829049513, 0.682273370470252, 0.487583248392117, 2.41403538414825,      0.467453442926814, 0.389684735109723), PROX_HAWKER = c(0.315572935590663,      0.272020065995023, 0.323134910569429, 0.323134910569429,      0.5145461029689, 0.161327078165055, 0.628838904549623, 0.552624576950901,      0.449541776391294, 0.449541776391294, 0.527790221924738,      0.391674386653945, 0.508914568418093, 0.304343114187016,      0.370496257898541, 0.840126401207934, 0.645875214067525,      0.561617227785994, 0.207247650371579, 0.133504850959355),          PROX_MRT = c(0.308409661615337, 0.348847208140378, 0.307725216106606,          0.307725216106606, 0.689820066215858, 0.352113639571012,          0.731513991246432, 0.796240617220745, 0.819017740329599,          0.819017740329599, 0.351828842975553, 0.707146681079003,          1.21403827268849, 1.12559589355515, 1.21137251272603,          0.726942522279936, 0.707952731476156, 1.71497473755306,          0.409658939160285, 0.407218977151475), PROX_PARK = c(0.556935587195362,          0.429024269124863, 0.692980820038259, 0.692980820038259,          0.506309566114581, 0.412720152963846, 0.402026431996325,          0.579398729399101, 0.754667699158598, 0.754667699158598,          0.752867192571236, 0.630094576064042, 0.633868788719276,          0.326884491561474, 0.429817985649402, 0.618444971248099,          0.511064020035708, 0.181629272169071, 0.380160428577633,          0.377410917604964), PROX_GOOD_PRISCH = c(0.97109568154285,          0.999365026226873, 0.945616550360875, 0.945616550360875,          1.35033962190844, 0.778258345851083, 1.37880970746963,          1.45792936689373, 1.50498632547922, 1.50498632547922,          0.402201611323318, 1.10432321767326, 1.8319493658717,          1.53712936271762, 1.58756538029025, 2.78644315018514,          2.82520953766913, 1.52909264222103, 2.07008813823767,          2.0639866413545), PROX_MALL = c(0.277854565241424, 0.188176716989659,          0.3113714109904, 0.3113714109904, 0.508727078362918,          0.1993183735571, 0.493679276753517, 0.616886214909116,          0.732362808464395, 0.732362808464395, 0.347570072991699,          0.759347764163403, 0.308706652763352, 0.493589384976364,          0.573348708551386, 0.66906173274608, 0.535655644340599,          1.69674818443598, 0.395390786334096, 0.352244010010256         ), PROX_CHAS = c(0.213793078898363, 0.139131199666608,          0.164045702260751, 0.164045702260751, 0.0590210156667789,          0.176868193181362, 0.0836673580931749, 0.145158576319141,          0.30624919123722, 0.30624919123722, 0.329846033180528,          0.395290416984683, 0.308706623046814, 0.118978706369709,          0.166187985395119, 0.195243012850588, 0.102679570293108,          0.26797195188846, 0.278446199404133, 0.180332756228222         ), PROX_SUPERMARKET = c(0.217115292225756, 0.139131268426574,          0.329801606095394, 0.329801606095394, 0.0642147642973091,          0.245740902557878, 0.0769150331708007, 0.145877744762322,          0.309780650655361, 0.309780650655361, 0.353445486406562,          0.20799335196523, 0.31508799294366, 0.371852561025965,          0.394772134126693, 0.169510705521186, 0.158953339299884,          0.570395350553557, 0.0888694671696128, 0.0762755382886037         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 0L, 0L,          0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 3L, 3L, 1L, 6L,          2L, 1L, 1L, 1L, 4L, 2L, 4L, 3L, 1L, 0L, 1L, 1L, 3L, 5L         ), WITHIN_350M_BUS = c(11L, 9L, 11L, 11L, 7L, 6L, 7L,          8L, 7L, 7L, 10L, 7L, 3L, 8L, 7L, 7L, 5L, 10L, 10L, 7L         ), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 4L, 2L,          2L, 1L, 1L, 3L, 2L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L),          DNeighbour = c(0, 123.835200412434, 138.315340044306,          139.20488357241, 385.230375361031, 454.928518977704,          456.654019480083, 494.966448594645, 535.108159154202,          542.341419315777, 630.468071276999, 672.322485254102,          950.813081348732, 1042.47918912932, 1140.24355094487,          1851.03474018078, 1922.72493491292, 2299.04047828922,          2830.27368799504, 2909.08018843514)), row.names = c("943",      "268", "926", "68", "983", "584", "551", "928", "308", "794",      "649", "640", "278", "245", "244", "904", "338", "40", "221",      "978"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996379128046719,      0.995483852260319, 0.995425643116362, 0.965235580675095,      0.951687247886369, 0.951324641499858, 0.942939193975198,      0.933473967212057, 0.931695303968399, 0.908267366324222,      0.896027666740036, 0.797758940091765, 0.759656470965212,      0.716337486283959, 0.354177324256114, 0.317148581529411,      0.140946896306931, 0.00285645456286848, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5294467824 
R squared (OOB):                  0.7072261 

$Forests[[944]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(325000, 297000, 272000,      303000, 350000, 375000, 330000, 318000, 316000, 298000, 303888,      305000, 320000, 279000, 3e+05, 370000, 355000, 359900, 245000,      344000), floor_area_sqm = c(91, 91, 89, 92, 103, 92, 103,      91, 92, 93, 93, 91, 84, 91, 96, 93, 93, 93, 88, 114), storey_order = c(4L,      3L, 2L, 1L, 4L, 4L, 2L, 1L, 3L, 1L, 2L, 4L, 1L, 2L, 4L, 5L,      3L, 3L, 2L, 2L), remaining_lease_mths = c(780, 788, 882,      794, 768, 783, 773, 765, 781, 777, 782, 791, 822, 801, 791,      1106, 1111, 1117, 668, 909), PROX_CBD = c(18.1476771148045,      18.1476771148045, 17.8554664137964, 18.2139172788048, 18.3186881593276,      18.1857629477019, 18.4499801912104, 18.2234963781047, 18.2234963781047,      18.5252470382495, 18.5252470382495, 18.2610111258248, 17.6406634027014,      18.2989051402725, 18.5761736305699, 18.8127816342995, 18.8127816342995,      18.8127816342995, 18.8842060529579, 17.7896312466061), PROX_ELDERLYCARE = c(0.519546459890619,      0.519546459890619, 0.800501761367975, 0.649170232100017,      0.586525817031338, 0.47723779098819, 0.504778052376495, 0.448333702611612,      0.448333702611612, 0.449194476018676, 0.449194476018676,      0.421521882373529, 1.035266769267, 0.397078044127006, 0.0638277150498875,      0.176499517448139, 0.176499517448139, 0.176499517448139,      0.229103995883471, 1.25681260125729), PROX_HAWKER = c(0.209390724873544,      0.209390724873544, 0.203123967436651, 0.488031980714328,      0.564283191409187, 0.380157991945912, 0.652207052169444,      0.416527045274471, 0.416527045274471, 0.69553534809229, 0.69553534809229,      0.453171307776496, 0.425506106332545, 0.491047773869601,      0.562029876499453, 0.325560722493799, 0.325560722493799,      0.325560722493799, 0.280513302960552, 0.881066744107593),          PROX_MRT = c(0.491311596778589, 0.491311596778589, 0.555370291384357,          0.192826481399443, 0.220618943711049, 0.548087095608087,          0.322534237265928, 0.545975779093886, 0.545975779093886,          0.398456142880405, 0.398456142880405, 0.547550551918807,          0.641227062746355, 0.552168886353884, 0.874368880716004,          1.04083770509984, 1.04083770509984, 1.04083770509984,          1.03601464731326, 0.459633808793419), PROX_PARK = c(0.270911567278729,          0.270911567278729, 0.515057634059466, 0.532358306258428,          0.548488124002706, 0.261695126667213, 0.536975621309476,          0.264257474455249, 0.264257474455249, 0.491317901173298,          0.491317901173298, 0.272660801967067, 0.74946287094318,          0.287159802467115, 0.287868908027907, 0.51923222906617,          0.51923222906617, 0.51923222906617, 0.579556587207627,          1.08767920112524), PROX_GOOD_PRISCH = c(9.18618174729203,          9.18618174729203, 8.91472106998272, 9.33501569353139,          9.44179125712709, 9.10363750169146, 9.56762880935522,          9.1355701416359, 9.1355701416359, 9.63394268044443, 9.63394268044443,          9.16752282736586, 8.7372089119322, 9.19982386356694,          9.51590189269927, 9.7422556358987, 9.7422556358987, 9.7422556358987,          9.83133063879426, 9.06437119601063), PROX_MALL = c(0.218975149940797,          0.218975149940797, 0.208298160410803, 0.498813518897969,          0.574856358668165, 0.374195605351922, 0.662291407978718,          0.411037179701155, 0.411037179701155, 0.705200807731176,          0.705200807731176, 0.448092738738542, 0.427942470585451,          0.486326630506135, 0.624506085881379, 0.856774663098642,          0.856774663098642, 0.856774663098642, 0.91348864249693,          0.889615709496153), PROX_CHAS = c(0.218975205360203,          0.218975205360203, 0.208298146952687, 0.0363398547195702,          0.141159289664064, 0.172021358032342, 0.201478871858691,          0.132763801624598, 0.132763801624598, 0.240425442805127,          0.240425442805127, 0.0964740211655948, 0.23100298607827,          0.0660681856594747, 0.0792988689034794, 0.2593611752042,          0.2593611752042, 0.2593611752042, 0.241229981070425,          0.198210651063146), PROX_SUPERMARKET = c(0.206881250620068,          0.206881250620068, 0.19872598136169, 0.186956242757619,          0.210011389308567, 0.38486207983901, 0.310351384739933,          0.421116980529575, 0.421116980529575, 0.386130046709882,          0.386130046709882, 0.457654559995222, 0.231004283416662,          0.490326509583637, 0.625539331690589, 0.856773769273042,          0.856773769273042, 0.856773769273042, 0.911876453557648,          0.347801992140281), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 3L), WITHIN_350M_CHILDCARE = c(3L, 3L,          5L, 5L, 4L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 6L, 2L, 2L, 1L,          1L, 1L, 1L, 4L), WITHIN_350M_BUS = c(7L, 7L, 10L, 9L,          10L, 4L, 9L, 6L, 6L, 8L, 8L, 6L, 8L, 6L, 10L, 16L, 16L,          16L, 13L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 2L,          2L, 4L, 2L, 4L, 4L, 2L, 2L, 4L, 3L, 4L, 2L, 1L, 1L, 1L,          1L, 2L), DNeighbour = c(0, 5.74832304193386, 291.761094904237,          311.978719801344, 372.573294914771, 451.790418932861,          454.130013855402, 473.7258423734, 474.201248835441, 486.8646837746,          488.770831805801, 501.94368070637, 519.97189729528, 527.574373033142,          539.854355685291, 744.342086579921, 747.848462978663,          749.951527472359, 789.587012787556, 813.529428847339)), row.names = c("944",      "827", "467", "481", "367", "733", "810", "47", "202", "11",      "106", "905", "730", "433", "78", "637", "418", "604", "96",      "172"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999900148417723,      0.759303249298874, 0.727501533790983, 0.62451419117412, 0.478297664907137,      0.473878332867053, 0.436809628735531, 0.435910036286408,      0.411966071733467, 0.408366865618857, 0.383553586515536,      0.349848717993464, 0.33575870017813, 0.313198268007402, 0.0265230520817936,      0.0240105462946825, 0.0225582028042657, 0.00336335734582484,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1297343651 
R squared (OOB):                  -0.1358663 

$Forests[[945]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(285000, 288000, 3e+05,      258000, 320000, 292000, 283000, 4e+05, 420000, 433000, 416000,      365000, 395000, 428000, 340000, 315000, 415000, 338000, 418000,      367000), floor_area_sqm = c(84, 84, 84, 84, 104, 84, 84,      92, 92, 92, 92, 92, 92, 92, 103, 84, 92, 93, 92, 92), storey_order = c(3L,      1L, 1L, 1L, 3L, 1L, 4L, 2L, 5L, 4L, 4L, 1L, 2L, 4L, 4L, 3L,      5L, 3L, 5L, 1L), remaining_lease_mths = c(776, 770, 766,      781, 788, 761, 781, 1130, 1143, 1130, 1140, 1137, 1146, 1140,      784, 804, 1144, 778, 1138, 1137), PROX_CBD = c(16.2311391435218,      16.2681803933938, 16.3138748954346, 16.1631400386504, 16.4061281598547,      16.3662877971208, 16.4061281598547, 16.1976566517324, 16.1537572283104,      16.055983361932, 16.055983361932, 16.0046521285213, 16.0046521285213,      16.1831859860721, 16.4938482623735, 15.9050437012323, 15.9533618390172,      16.3741208173644, 16.0903666266177, 16.0903666266177), PROX_ELDERLYCARE = c(0.252142982647588,      0.20801878428071, 0.259941730365991, 0.194171564025932, 0.45678545326778,      0.177020457931737, 0.45678545326778, 9.89208662673193e-07,      0.0462823216560119, 0.146417557277997, 0.146417557277997,      0.20718686492254, 0.20718686492254, 0.0701319802482612, 0.54260343924556,      0.346730428331521, 0.251148223850536, 0.617661573186221,      0.179967723198436, 0.179967723198436), PROX_HAWKER = c(1.12300848995143,      1.14155805943316, 1.19589315813724, 1.03995728027003, 1.27662029927611,      1.20613696965479, 1.27662029927611, 1.03146250928298, 0.986028325459381,      0.897672222950446, 0.897672222950446, 0.855932206484513,      0.855932206484513, 1.00994702859189, 1.26080574998962, 0.79668564149145,      0.802087399746937, 1.08852003222566, 0.9143232220583, 0.9143232220583     ), PROX_MRT = c(0.830985280221221, 0.896888955057001, 0.896077488488813,      0.842728374229233, 0.840195727203247, 1.07002489239586, 0.840195727203247,      1.02706758196582, 1.02112351286352, 0.936151237003446, 0.936151237003446,      0.883219311345816, 0.883219311345816, 1.08237519657155, 0.884131305433386,      0.750476153315833, 0.8851452059773, 0.70945464840636, 1.13213387762555,      1.13213387762555), PROX_PARK = c(0.723677668737743, 0.750067315759091,      0.695881850270676, 0.707513815343702, 0.499042267647801,      0.840406553837571, 0.499042267647801, 0.822565203699192,      0.793519520304926, 0.683762717294504, 0.683762717294504,      0.619767633008914, 0.619767633008914, 0.848434833813522,      0.418424058290637, 0.475878847958935, 0.589052524814441,      0.371358045807383, 0.83568858459355, 0.83568858459355), PROX_GOOD_PRISCH = c(6.76533990958697,      6.81173689796023, 6.84997592861041, 6.70927938580052, 6.91087941258894,      6.93507101526025, 6.91087941258894, 6.78043949525415, 6.74044920052795,      6.63421015362065, 6.63421015362065, 6.57618460349959, 6.57618460349959,      6.78038310261662, 6.98980449668537, 6.45664561130608, 6.52939634907869,      6.84990365493624, 6.70919168347838, 6.70919168347838), PROX_MALL = c(0.175221521556568,      0.188162247463955, 0.242195958154985, 0.0870960802892481,      0.408074329267436, 0.298590834338171, 0.408074329267436,      0.189710317758296, 0.180580587241737, 0.118546137622893,      0.118546137622893, 0.110811660449771, 0.110811660449771,      0.241735562355662, 0.506769239398443, 0.18299798168314, 0.161178852361569,      0.523710338103731, 0.311149009276151, 0.311149009276151),          PROX_CHAS = c(0.170601730776313, 0.160774225575301, 0.218904529587093,          0.081875317774622, 0.178111672550416, 0.209004221202181,          0.178111672550416, 0.0868060808909073, 0.0922372285822684,          0.110329053122027, 0.110329053122027, 0.114687044901222,          0.114687044901222, 0.148113838308576, 0.128042490192306,          0.190026772642962, 0.165813590617473, 0.0863783451683255,          0.215238065300109, 0.215238065300109), PROX_SUPERMARKET = c(0.137275095711229,          0.189660657064324, 0.204979568486045, 0.0873208554119548,          0.17811123384324, 0.303085580417471, 0.17811123384324,          0.195853508350489, 0.186806037215644, 0.123371553336512,          0.123371553336512, 0.112847248683738, 0.112847248683738,          0.247969406526707, 0.128042463684685, 0.179336240856332,          0.162291812321236, 0.0863776808909183, 0.316789996913415,          0.316789996913415), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 1L, 0L, 0L), WITHIN_350M_CHILDCARE = c(5L, 6L,          4L, 6L, 4L, 8L, 4L, 8L, 8L, 3L, 3L, 3L, 3L, 7L, 4L, 4L,          3L, 4L, 2L, 2L), WITHIN_350M_BUS = c(10L, 11L, 8L, 11L,          8L, 5L, 8L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 6L, 8L, 8L, 4L,          8L, 8L), WITHIN_1KM_PRISCH = c(5L, 5L, 5L, 5L, 4L, 4L,          4L, 5L, 4L, 5L, 5L, 5L, 5L, 4L, 4L, 6L, 5L, 4L, 4L, 4L         ), DNeighbour = c(0, 62.4127666607045, 75.6193475840869,          91.7208297911892, 231.545716865997, 233.594595422977,          237.550947645377, 250.368920007071, 270.520300375776,          273.170802331698, 277.837837710748, 283.684844096952,          284.366385354056, 320.768821728966, 331.792605051135,          332.243631946794, 335.903907209639, 373.365257923029,          429.836471638468, 433.189464278161)), row.names = c("945",      "798", "848", "872", "595", "687", "49", "427", "869", "741",      "538", "594", "408", "661", "150", "59", "124", "788", "249",      "161"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.958914371223403,      0.939983301753877, 0.912347472891447, 0.510217448688075,      0.502987996034561, 0.488996923833475, 0.443495974578953,      0.372122629942348, 0.362812507867404, 0.346491529219188,      0.326199821106428, 0.323847424023932, 0.204021164193175,      0.170859832110918, 0.169542943078291, 0.158980308320858,      0.0661165260206477, 0.000237794252322325, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       982577659 
R squared (OOB):                  0.7131522 

$Forests[[946]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350888, 398000, 340000,      390000, 380000, 418000, 4e+05, 4e+05, 4e+05, 380000, 418000,      676000, 663000, 655000, 655000, 640000, 350000, 385000, 465000,      735000), floor_area_sqm = c(93, 92, 92, 92, 92, 92, 92, 98,      104, 93, 91, 87, 87, 87, 87, 87, 91, 91, 104, 97), storey_order = c(3L,      3L, 1L, 1L, 4L, 4L, 4L, 4L, 2L, 3L, 5L, 3L, 4L, 5L, 1L, 4L,      4L, 1L, 3L, 6L), remaining_lease_mths = c(712, 714, 699,      711, 695, 691, 690, 718, 751, 724, 774, 1120, 1124, 1121,      1123, 1121, 741, 715, 760, 1066), PROX_CBD = c(9.68679892421183,      9.95525560808738, 9.97016469840266, 9.71066487891121, 9.61422948612377,      9.61422948612377, 9.59976569988281, 9.5915755681771, 9.83498872427818,      9.50206510185676, 9.35032791665702, 9.49727834386093, 9.49727834386093,      9.49727834386093, 9.39818328429371, 9.42381765287156, 8.70456515841861,      8.8262745849674, 8.64488888098128, 9.96973817000633), PROX_ELDERLYCARE = c(0.35495808488012,      0.150508443509651, 0.14040561650552, 0.385358274245319, 0.28812103687201,      0.28812103687201, 0.239547661796275, 0.558000418748021, 0.611336059876525,      0.619429799229152, 0.227789996497476, 0.735218745429302,      0.735218745429302, 0.735218745429302, 0.718190414835305,      0.750155484045513, 0.1203423949077, 0.896855030989675, 0.17844978767297,      0.560133969723593), PROX_HAWKER = c(0.221606053969191, 0.153089379504462,      0.15909114400288, 0.39402887106119, 0.398658919868918, 0.398658919868918,      0.436761476721694, 0.434568479089541, 0.54583502916026, 0.518318645141504,      0.508896406641727, 0.639074974233661, 0.639074974233661,      0.639074974233661, 0.640059738279374, 0.667492197519696,      0.867862446497739, 0.311054993693233, 0.917919654697093,      0.246219700947935), PROX_MRT = c(0.760373725070279, 0.521845664201362,      0.494111782173202, 0.746020760246364, 0.667432439829923,      0.667432439829923, 0.619962862184004, 0.656590823238566,      0.722241727367494, 0.533910829474844, 0.569946398217962,      0.499971219475903, 0.499971219475903, 0.499971219475903,      0.401734036242065, 0.423547456258288, 0.97670571404933, 0.17731989795878,      0.91698472228942, 0.405168801785449), PROX_PARK = c(0.664893225436512,      0.730503149795042, 0.68588072489708, 0.914740437498633, 0.922231693079911,      0.922231693079911, 0.957886982704992, 0.355705093322714,      0.296755194228525, 0.26219477257436, 0.726258134328713, 0.298527066745392,      0.298527066745392, 0.298527066745392, 0.220484561261844,      0.258916726718906, 0.288616932786395, 0.458605630557841,      0.238119977580318, 0.868342722448078), PROX_GOOD_PRISCH = c(2.17803171840573,      2.01039924795066, 1.97396491196204, 2.31351362539819, 2.38715383730665,      2.38715383730665, 2.35345437748376, 2.11809049366399, 1.88657748145099,      2.18628235132699, 2.41566392235711, 2.17599822879711, 2.17599822879711,      2.17599822879711, 2.27458198186913, 2.24680049319454, 2.418607930925,      2.8424495793979, 2.37381492496372, 1.55873028154778), PROX_MALL = c(0.796976758090547,      0.757457219803541, 0.802483711672914, 0.505770857705003,      0.43353114329251, 0.43353114329251, 0.387669919047214, 1.22478662403239,      1.23747152538927, 1.32833110917602, 0.406203001531397, 1.45007786498113,      1.45007786498113, 1.45007786498113, 1.45650167595406, 1.48330987402926,      0.948870628363287, 1.64561868645684, 1.00281364182829, 0.129560175686973     ), PROX_CHAS = c(0.0707228333244178, 0.144412947448491, 0.187394625423847,      0.255589678637005, 0.28666502826278, 0.28666502826278, 0.263208245292117,      0.346218272658546, 0.352730820744124, 0.219477506246216,      0.146235674893272, 0.101351467161616, 0.101351467161616,      0.101351467161616, 0.109789289200213, 0.0719365450960561,      0.27140983829104, 0.221229860630612, 0.256340531367836, 0.0647243745052949     ), PROX_SUPERMARKET = c(0.128382981112681, 0.204623167766534,      0.215556112381702, 0.363062686357781, 0.396736556610776,      0.396736556610776, 0.44091986097032, 0.300584979098838, 0.324694852199881,      0.191210069763785, 0.347306649978202, 0.0715849245259307,      0.0715849245259307, 0.0715849245259307, 0.13637298984998,      0.100679215951394, 0.221415122113844, 0.221249484047241,      0.24778575064029, 0.241122798862169), WITHIN_350M_KINDERGARTEN = c(2L,      2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,      2L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 2L,      3L, 3L, 4L, 5L, 1L, 6L, 5L, 6L, 6L, 6L, 6L, 6L, 4L, 2L, 4L,      6L), WITHIN_350M_BUS = c(10L, 9L, 9L, 13L, 11L, 11L, 11L,      5L, 3L, 2L, 9L, 4L, 4L, 4L, 6L, 5L, 9L, 5L, 8L, 7L), WITHIN_1KM_PRISCH = c(4L,      4L, 4L, 4L, 4L, 4L, 3L, 2L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 1L,      2L, 2L, 2L, 2L), DNeighbour = c(0, 289.505090800085, 291.605993159234,      297.619400572962, 365.773335237356, 370.060533524578, 415.070009682327,      444.877552816938, 445.701112568462, 566.129574940328, 588.451639731837,      684.869322161136, 687.731210163006, 689.823224518271, 723.306095568313,      734.888642632278, 1064.41441699, 1098.21452692891, 1121.80310565698,      1157.38734245366)), row.names = c("946", "971", "211", "776",      "603", "499", "964", "746", "659", "539", "37", "593", "466",      "731", "657", "9", "71", "814", "487", "471"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.878778030697374, 0.877070116714112, 0.872122705218973,      0.810220943660573, 0.805986863143538, 0.759315105194485,      0.726332358993427, 0.725399388075192, 0.57872188478016, 0.549819116080575,      0.422301000364991, 0.418498236296725, 0.415719354718485,      0.371418175619721, 0.356208923776497, 0.0237798270652968,      0.00992783260890542, 0.00366573975601688, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7150131031 
R squared (OOB):                  0.6089459 

$Forests[[947]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(450000, 420000, 425000,      395000, 445000, 438000, 430000, 450000, 456500, 432000, 431000,      436000, 440000, 420000, 435000, 425000, 358000, 418000, 460000,      415000), floor_area_sqm = c(94, 94, 94, 94, 94, 94, 92, 93,      92, 92, 92, 92, 92, 92, 92, 94, 93, 92, 92, 92), storey_order = c(7L,      7L, 6L, 4L, 6L, 5L, 6L, 9L, 8L, 6L, 7L, 7L, 8L, 5L, 2L, 5L,      1L, 6L, 7L, 8L), remaining_lease_mths = c(1119, 1120, 1119,      1113, 1109, 1076, 1126, 1136, 1144, 1137, 1138, 1139, 1142,      1132, 1128, 1083, 1103, 1129, 1125, 1140), PROX_CBD = c(12.0119641769274,      12.0119641769274, 11.9828723130509, 11.9744040829633, 12.1122271384014,      11.9414743986494, 12.0797672032522, 12.1741021183779, 11.9527102757424,      11.9317097346946, 11.9317097346946, 12.042332185553, 12.042332185553,      12.042332185553, 12.042332185553, 11.8751655684431, 11.8075546541859,      12.02897658153, 12.02897658153, 12.02897658153), PROX_ELDERLYCARE = c(0.673044116243487,      0.673044116243487, 0.710325725805382, 0.738781707341689,      0.629785153682861, 0.687500817542951, 0.550577233037288,      0.519600844901231, 0.819362766143575, 0.680106913101551,      0.680106913101551, 0.786890441142101, 0.786890441142101,      0.786890441142101, 0.786890441142101, 0.727329111385366,      0.922118515238085, 0.841755023464642, 0.841755023464642,      0.841755023464642), PROX_HAWKER = c(0.222580914455278, 0.222580914455278,      0.20448046373977, 0.217370340361849, 0.337796349528525, 0.147098227142532,      0.286867197183981, 0.375471053349032, 0.27814297307049, 0.161367564791002,      0.161367564791002, 0.369655971945997, 0.369655971945997,      0.369655971945997, 0.369655971945997, 0.145379780608352,      0.209140712961875, 0.409616357379742, 0.409616357379742,      0.409616357379742), PROX_MRT = c(0.201095784108649, 0.201095784108649,      0.170867756883987, 0.167322140356011, 0.302747284955937,      0.183575431830776, 0.285059794417971, 0.338849049026276,      0.200702114351669, 0.214149342621172, 0.214149342621172,      0.298263347673859, 0.298263347673859, 0.298263347673859,      0.298263347673859, 0.191731142133254, 0.120215557602138,      0.331072457322778, 0.331072457322778, 0.331072457322778),          PROX_PARK = c(0.691047645736797, 0.691047645736797, 0.697136724289492,          0.679906922269617, 0.576425078157325, 0.807374064658721,          0.747342190235743, 0.612679613149166, 0.643017670933737,          0.785212145526225, 0.785212145526225, 0.542226246468638,          0.542226246468638, 0.542226246468638, 0.542226246468638,          0.723512884628395, 0.747098338531098, 0.529446955515876,          0.529446955515876, 0.529446955515876), PROX_GOOD_PRISCH = c(2.29976812492723,          2.29976812492723, 2.27447890050516, 2.27223739349538,          2.408030235171, 2.21615815400514, 2.35145083667271, 2.45580221931744,          2.270018309959, 2.20126444296921, 2.20126444296921, 2.36724315061599,          2.36724315061599, 2.36724315061599, 2.36724315061599,          2.14229157607785, 2.12338877581429, 2.36775586018775,          2.36775586018775, 2.36775586018775), PROX_MALL = c(0.251262654177611,          0.251262654177611, 0.220402811054307, 0.214069216816763,          0.350899017798137, 0.22663965361209, 0.356578632219481,          0.416829357908565, 0.232344363503357, 0.255684281538694,          0.255684281538694, 0.332547569579886, 0.332547569579886,          0.332547569579886, 0.332547569579886, 0.249449426365425,          0.119447773727589, 0.358721564938295, 0.358721564938295,          0.358721564938295), PROX_CHAS = c(0.131248018016709,          0.131248018016709, 0.0995919009989899, 0.0939357367291076,          0.0703863092474096, 0.156140837156126, 0.146949814741425,          0.0461624602204791, 0.146038815472653, 0.203726500797623,          0.203726500797623, 0.236223262451169, 0.236223262451169,          0.236223262451169, 0.236223262451169, 0.179410689617013,          0.11944771257822, 0.25157977989641, 0.25157977989641,          0.25157977989641), PROX_SUPERMARKET = c(0.261515416493987,          0.261515416493987, 0.230351837454113, 0.22318738818849,          0.360308355053667, 0.236998053946951, 0.315486318912089,          0.427183407476201, 0.237998550380205, 0.217804588957955,          0.217804588957955, 0.33849828517841, 0.33849828517841,          0.33849828517841, 0.33849828517841, 0.179159947933279,          0.119571834445138, 0.314501000490003, 0.314501000490003,          0.314501000490003), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L,          1L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 7L, 7L, 6L, 5L, 7L, 5L, 6L, 6L, 4L, 4L, 4L, 4L, 7L,          4L, 4L, 4L, 4L), WITHIN_350M_BUS = c(6L, 6L, 7L, 10L,          7L, 8L, 9L, 5L, 12L, 8L, 8L, 10L, 10L, 10L, 10L, 6L,          10L, 11L, 11L, 11L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L,          3L, 3L, 3L), DNeighbour = c(0, 7.4011422910126, 40.4728823935772,          73.6605750451451, 118.841151161204, 126.280441138085,          145.192181525279, 164.037905018222, 175.347233098946,          177.339799696839, 178.392850927351, 216.249697143438,          216.405611046386, 216.815079908667, 218.648542468045,          232.069413097474, 244.340095138568, 273.537815279564,          274.706269713989, 278.701967735863)), row.names = c("947",      "167", "203", "858", "607", "781", "900", "621", "749", "392",      "613", "573", "16", "634", "908", "250", "724", "700", "874",      "287"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.998590080645525,      0.95826748620294, 0.86517192242116, 0.669410307540082, 0.631545714747332,      0.53086110360379, 0.427161185010784, 0.36501141282728, 0.354161120125058,      0.348444224195292, 0.158365984283393, 0.157675532084905,      0.155867061424387, 0.14785654789045, 0.0940310717003963,      0.0535385665016658, 0.00134801073130365, 0.00081043169213372,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       414549139 
R squared (OOB):                  0.2015162 

$Forests[[948]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 370000, 430000,      345000, 4e+05, 358000, 363000, 380000, 340000, 492500, 380000,      378000, 440000, 377000, 352000, 410000, 660000, 388000, 672000,      360000), floor_area_sqm = c(84, 84, 104, 84, 104, 84, 84,      93, 84, 108, 92, 84, 91, 98, 84, 103, 85, 98, 85, 83), storey_order = c(3L,      3L, 2L, 1L, 2L, 3L, 4L, 3L, 1L, 2L, 1L, 3L, 5L, 3L, 2L, 2L,      3L, 2L, 5L, 3L), remaining_lease_mths = c(782, 777, 781,      789, 783, 770, 780, 790, 780, 912, 767, 799, 669, 735, 800,      799, 1032, 728, 1042, 803), PROX_CBD = c(7.37752466520609,      7.32999369210923, 7.27303659463988, 7.23308787648785, 6.8579883001408,      6.82164733234375, 6.82164733234375, 7.92065359752155, 6.73119135364588,      8.12312779702036, 8.01258306529517, 8.15960948514705, 6.95185067667089,      8.07728506382532, 8.28689365911172, 8.31972436488376, 6.62545736407856,      8.19895861369783, 6.58265946872266, 8.52567265657093), PROX_ELDERLYCARE = c(1.11141904944431,      1.04617467786566, 0.949520652768775, 0.804640181087392, 0.650979480304367,      0.729511559050305, 0.729511559050305, 1.44631042678071, 0.709869492714774,      1.71708078323557, 1.38923408288603, 1.45090119588013, 0.368543492371998,      1.22552837794249, 1.3668692597991, 1.3912791419992, 0.121758896932011,      1.1658248464307, 0.129826558983194, 1.23693676843424), PROX_HAWKER = c(1.06790139631185,      1.00458194418859, 0.905159668549179, 0.727393295990439, 0.732876252375814,      0.834207881424508, 0.834207881424508, 0.646393168274836,      0.84617550022745, 0.581802643409563, 0.532883444787396, 0.40344417957638,      0.163396016993116, 0.503102516785602, 0.269406334629514,      0.252588085280054, 0.33268573973532, 0.391405491562813, 0.37361464573735,      0.0724679807682574), PROX_MRT = c(0.450606800129455, 0.446590670593176,      0.477339162120678, 0.626719191507479, 0.479854345281657,      0.401668294921849, 0.401668294921849, 0.434970780163821,      0.447149108468339, 0.142211914808532, 0.57194553577364, 0.408889372474398,      0.258776848421036, 0.711885268750489, 0.467794692056616,      0.44379796826936, 0.255638745600017, 0.707144761815547, 0.288098631383321,      0.510058766918036), PROX_PARK = c(1.30417314517193, 1.30043300411079,      1.28136359713013, 1.17683143601381, 1.26891760289394, 1.33915084667526,      1.33915084667526, 0.790688256163915, 1.30601230217613, 0.921087542045637,      0.580004121625521, 0.650146210437373, 0.871860056746433,      0.413960848298732, 0.570592214216024, 0.59965919275643, 0.741691321664553,      0.372450573927522, 0.734858817801552, 0.557643312318536),          PROX_GOOD_PRISCH = c(2.87682745937193, 2.81856751915823,          2.72285479219865, 2.53413597667736, 2.57894825178105,          2.67483404440455, 2.67483404440455, 2.86596411907387,          2.67147237000904, 3.16123688190063, 2.75227504535898,          2.95345383530684, 1.99104033276262, 2.66084492380109,          2.99359805566516, 3.04207330950824, 2.08436883673306,          2.73491137460549, 2.10026546945211, 3.13534109620979),          PROX_MALL = c(1.52964479685301, 1.4733570331857, 1.40144317349524,          1.33824767405872, 0.985446043286547, 0.977306285381771,          0.977306285381771, 2.02812113432733, 0.894914409230097,          2.25269448786787, 2.11322307221905, 2.20417563031698,          1.10491400246256, 2.0316459728171, 2.09618768409308,          2.10790194839897, 0.757747380414752, 1.94983703099632,          0.712222885156031, 1.96281231550532), PROX_CHAS = c(0.123680988169118,          0.100781853121145, 0.150676124399865, 0.335243362149438,          0.418063314797021, 0.389404577789016, 0.389404577789016,          0.0418426354504526, 0.468632365618207, 0.169904154790832,          0.1333322783253, 0.102408834624747, 0.197049444171332,          0.279534674537085, 0.229330661012247, 0.261198443001062,          0.152169077912936, 0.293834776478611, 0.19769969897302,          0.169369143123463), PROX_SUPERMARKET = c(0.15284622075069,          0.154588063793208, 0.216512452964216, 0.400791637001426,          0.471666412940503, 0.457775852816324, 0.457775852816324,          0.6226371739075, 0.541263540151477, 0.496146947525001,          0.475213328012689, 0.391977689272912, 0.145490551360364,          0.412975566732202, 0.266710264104055, 0.272257424647181,          0.21094349839638, 0.293834967432244, 0.255985378039003,          0.169391527985645), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 1L, 0L, 0L, 0L, 2L, 0L, 2L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 2L, 0L, 1L), WITHIN_350M_CHILDCARE = c(5L, 4L,          4L, 2L, 1L, 1L, 1L, 3L, 2L, 1L, 2L, 2L, 3L, 2L, 2L, 3L,          0L, 3L, 0L, 3L), WITHIN_350M_BUS = c(9L, 8L, 7L, 4L,          3L, 4L, 4L, 6L, 4L, 8L, 6L, 7L, 4L, 6L, 7L, 9L, 2L, 7L,          2L, 8L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 2L, 2L,          2L, 3L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L         ), DNeighbour = c(0, 66.0921549347084, 170.918493282854,          347.606624914348, 553.450357169598, 560.256816443864,          560.84720968622, 605.514688125721, 653.79404260963, 743.630400034752,          781.86920411967, 837.776602140325, 907.192730083345,          919.25715199382, 973.490285911554, 999.481351122634,          1006.90370263989, 1019.30775848571, 1023.81009351678,          1205.78264060174)), row.names = c("948", "187", "611",      "171", "168", "46", "322", "1", "529", "669", "200", "327",      "492", "395", "266", "540", "841", "29", "388", "404"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.994000171008046, 0.960218157268655, 0.840692622492998,      0.623029140825506, 0.614825593880847, 0.614111871841707,      0.559234170392834, 0.498439313747991, 0.38397394090807, 0.335860467608786,      0.267552027327231, 0.188305505831201, 0.175381810406704,      0.121231916648808, 0.0979149370370938, 0.0916096421097566,      0.0814441497341769, 0.0778729667163997, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6264467731 
R squared (OOB):                  0.2921368 

$Forests[[949]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 390000, 342000,      390000, 415000, 375000, 395000, 428000, 412000, 390000, 455000,      537000, 518000, 483000, 535000, 495000, 5e+05, 553000, 520000,      435000), floor_area_sqm = c(104, 105, 105, 105, 106, 104,      104, 112, 104, 104, 112, 93, 93, 93, 93, 93, 93, 93, 93,      100), storey_order = c(3L, 3L, 1L, 3L, 3L, 1L, 2L, 1L, 3L,      2L, 1L, 4L, 2L, 2L, 3L, 2L, 3L, 4L, 3L, 4L), remaining_lease_mths = c(903,      911, 904, 921, 919, 919, 905, 892, 891, 906, 896, 1128, 1132,      1129, 1131, 1131, 1131, 1134, 1133, 924), PROX_CBD = c(13.3287778793447,      13.3796709379934, 13.3769343120963, 13.4627621473458, 13.4239402990732,      13.4266027498608, 13.6654936015449, 13.9733994982273, 14.1568072460962,      14.1961571609712, 14.0913802169285, 14.1022978560303, 14.0392008059995,      13.9851487819813, 13.9851487819813, 14.1234549986629, 13.8777465201196,      13.8021184722805, 13.7835124985007, 12.114386347938), PROX_ELDERLYCARE = c(2.1917657327852,      2.22474645739358, 2.13793612643937, 2.3602438602499, 2.35754914737924,      2.17127601573547, 2.4559089786438, 2.73602573538322, 2.56669577269824,      2.56528175499621, 1.71411655426264, 1.39999761805574, 1.32747908409073,      1.27246652758392, 1.27246652758392, 1.35242241046818, 1.14875617578224,      1.08391670289184, 1.04590518035641, 0.421163091926404), PROX_HAWKER = c(1.97547555130032,      1.93918128958002, 1.83400406292357, 1.98731518790586, 2.04148614266885,      1.79623369603986, 1.8007485076056, 1.72752929984142, 1.398882753411,      1.37564916931309, 0.659732742059419, 0.488105393549706, 0.543253862226502,      0.59565400543288, 0.59565400543288, 0.458626901673037, 0.709523473368326,      0.792084042786722, 0.817574416707151, 0.885134801830427),          PROX_MRT = c(1.73242783606755, 1.69795623670388, 1.58891799000297,          1.75308710953532, 1.80644454579453, 1.55284801629317,          1.57537750219681, 1.52912572857094, 1.21408476422274,          1.19597144129318, 0.410797330392975, 0.255700458734308,          0.327704984287647, 0.390641440388092, 0.390641440388092,          0.250036690549804, 0.526263367583387, 0.615458599020507,          0.648112836468654, 1.10882075300419), PROX_PARK = c(0.88512129863374,          0.863182736105437, 0.736187117229036, 0.956537089868377,          1.00169815399328, 0.713305409065456, 0.850306194456086,          0.916601452818718, 0.574460502508352, 0.541272645896965,          0.524242894978874, 0.52092144022497, 0.547177414231792,          0.580591669210194, 0.580591669210194, 0.469588575534173,          0.548712671125698, 0.476945111703218, 0.438074957540257,          1.14970360230785), PROX_GOOD_PRISCH = c(2.92650083991791,          2.95323290488506, 2.85157742620146, 3.09165556928148,          3.09662994187342, 2.87807351257242, 3.15584859653876,          3.4114102230046, 3.36750863472211, 3.39040053008466,          2.83541955823977, 2.69832814229385, 2.61966269686357,          2.55482099432271, 2.55482099432271, 2.69456588548322,          2.41902859908312, 2.33081910479479, 2.3007469286795,          1.17061030478036), PROX_MALL = c(0.968339604524727, 0.921202261186462,          0.857746498744393, 0.924666219790251, 0.980263777031476,          0.808973697710999, 0.710058429219954, 0.596418817267466,          0.280844166366742, 0.270320025824244, 0.471401908473598,          0.257523814996123, 0.316340524018432, 0.37312896686832,          0.37312896686832, 0.232476208076891, 0.498678106329343,          0.585717052475653, 0.615576551193732, 0.995792127022496         ), PROX_CHAS = c(0.447143544638255, 0.396028378293497,          0.418304503654494, 0.335494764547789, 0.386919516068906,          0.374720545025774, 0.111974276762728, 0.126775582068521,          0.192284580165596, 0.176758267598596, 0.471401941314913,          0.177701329016163, 0.101753514952091, 0.0604900109870272,          0.0604900109870272, 0.147334233235439, 0.133705064347241,          0.221659659627321, 0.253975316505048, 0.138740180982893         ), PROX_SUPERMARKET = c(0.37251565902947, 0.347107460725314,          0.224617478786604, 0.370560193975877, 0.409344743904916,          0.196965153344936, 0.207177695926551, 0.159712105919183,          0.192285941870899, 0.176759883249677, 0.471402360745676,          0.177702101069216, 0.101754383553332, 0.0604908810371704,          0.0604908810371704, 0.147334782275979, 0.133704798830233,          0.221659301316653, 0.253974877653299, 0.459680111992834         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 1L, 0L, 1L,          1L, 5L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 2L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 1L, 2L, 1L, 1L,          3L, 2L, 3L, 4L, 1L, 4L, 4L, 3L, 3L, 4L, 2L, 2L, 2L, 1L         ), WITHIN_350M_BUS = c(6L, 8L, 5L, 7L, 7L, 7L, 12L, 10L,          9L, 9L, 12L, 11L, 10L, 8L, 8L, 13L, 8L, 5L, 6L, 8L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,          3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L), DNeighbour = c(0,          56.4106969948933, 154.13745647182, 166.435103346675,          172.574798997645, 184.656155566739, 344.127241114411,          648.330282216623, 862.76531834503, 908.843986832833,          1324.7808930512, 1617.51800088232, 1630.81276654385,          1635.64448444887, 1638.83878518416, 1671.77902101202,          1678.45552340849, 1694.59170198135, 1726.71489761045,          1783.88879647136)), row.names = c("949", "222", "965",      "155", "38", "818", "302", "119", "933", "555", "352", "815",      "218", "938", "819", "212", "579", "275", "380", "707"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998001058078376, 0.985123985672903, 0.982666352092765,      0.981370028546209, 0.978684818653899, 0.926957509409111,      0.753274568970776, 0.586893052192672, 0.548246654183852,      0.201144232212911, 0.0316227930231365, 0.0269804242952559,      0.0253757353221748, 0.024339356459933, 0.0148210792843712,      0.013159057238119, 0.00952758189364597, 0.0039782137788757,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5077311419 
R squared (OOB):                  -0.244651 

$Forests[[950]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(455000, 507000, 550000,      492000, 480000, 420000, 475000, 515000, 518000, 592000, 635000,      370000, 335000, 330000, 470000, 515000, 335000, 375000, 310000,      345000), floor_area_sqm = c(95, 105, 105, 84, 84, 84, 89,      105, 88, 108, 105, 92, 91, 82, 84, 103, 84, 92, 82, 92),          storey_order = c(2L, 2L, 3L, 4L, 1L, 2L, 1L, 2L, 3L,          2L, 4L, 4L, 3L, 4L, 3L, 3L, 2L, 2L, 5L, 1L), remaining_lease_mths = c(784,          770, 786, 788, 789, 777, 789, 762, 770, 810, 833, 699,          754, 657, 813, 823, 791, 695, 656, 695), PROX_CBD = c(7.49071683084666,          7.67544881001386, 7.59960912304084, 7.5632891932167,          7.1729887096531, 7.13486939655985, 7.05609226259357,          7.9455961592131, 7.79515244158294, 7.18468073982128,          7.22087947204147, 8.34406204250889, 8.32334928378694,          6.06674643703895, 6.30150758144434, 6.41432963568309,          9.13853516155078, 8.4016901584654, 5.9699685911294, 8.46158045860266         ), PROX_ELDERLYCARE = c(1.54524415115482, 1.73611556579875,          1.85656629786719, 1.91313469252559, 1.69705296801524,          1.66246099208497, 1.59520672965634, 1.77517839654503,          1.83577537822547, 1.63490637838594, 1.54373359073656,          0.224798473876808, 0.163895949541214, 0.10409496222889,          0.0580157957368266, 0.101150617829923, 1.86142420062345,          0.150390524199432, 4.28110190953706e-07, 0.0854535518544851         ), PROX_HAWKER = c(0.996854886033364, 0.926505356032751,          1.04404154823438, 1.10032443578502, 1.25907896080059,          1.23225985170817, 1.17571504816288, 0.800389309546525,          1.19066876388205, 1.02937341390922, 1.05968958012269,          0.308707066729857, 0.1672780527947, 0.346985863757343,          0.511576723994062, 0.639366917684312, 0.823671555860494,          0.205000896629144, 0.247906315943116, 0.266645682444034         ), PROX_MRT = c(0.34804043957783, 0.617354557404891,          0.492673618184051, 0.433934859087748, 0.428812034955963,          0.448181123975075, 0.487588773645627, 0.75069701440163,          0.499752126280618, 0.13577722868059, 0.206889953987817,          1.14033242259394, 1.03738004469153, 1.1005845300218,          0.911216039334219, 0.753240517287136, 1.58022074581844,          0.747297636603152, 1.03854772657135, 0.681495718287031         ), PROX_PARK = c(0.292176487074364, 0.29052205197453,          0.415297912555755, 0.474041874627479, 0.405529884687165,          0.367092279962757, 0.288106802683489, 0.364839433462782,          0.723268787935639, 0.802458220215738, 0.769170147627311,          0.748901820021747, 0.839050716088865, 0.741200181243785,          0.950460734805334, 0.941128983241434, 0.533109662164166,          0.784786352249359, 0.792968228054446, 0.773425606080498         ), PROX_GOOD_PRISCH = c(2.30076298730527, 2.0690813845722,          2.14133679267892, 2.17804686625686, 2.56840479702555,          2.60671936453148, 2.64150694603645, 1.79538098544694,          1.9917971907287, 2.6636605310312, 2.65891054731874, 1.74338078296013,          1.6197212814627, 1.85819018299306, 1.50990256016426,          1.35156641752108, 0.605615063995802, 1.42922442943649,          1.89588922913119, 1.4534383809239), PROX_MALL = c(0.79872232386887,          0.59706101530086, 0.472342316185911, 0.413593098419561,          0.42122511428052, 0.44210957307938, 0.487675149993812,          0.730136421618933, 0.483735594398556, 0.319563922107573,          0.389192825268572, 0.813314037197816, 0.952850965311535,          1.22044581333525, 0.872189526609738, 0.713954983197348,          0.925377142856182, 0.856591768216477, 1.25835483053691,          0.793630348518112), PROX_CHAS = c(0.204927614889482,          0.183520259224292, 0.0587537711423344, 5.15903103580734e-08,          0.364873472162596, 0.395328272461269, 0.464118937564998,          0.312128892467037, 0.157541179554435, 0.244287808759251,          0.201367273106442, 0.347263729641395, 0.218034921212892,          0.252393584019624, 0.0940735950578242, 0.15014885052256,          0.179557542480515, 0.14998683096932, 0.21461630683628,          0.161491876005888), PROX_SUPERMARKET = c(0.535956758401375,          0.242167451420959, 0.121599745844786, 0.0709823460282706,          0.372543253077343, 0.392878094873427, 0.438288204779491,          0.390939423908347, 0.305647853022819, 0.350395790631763,          0.425467495913439, 0.624544400837596, 0.502751024921131,          0.321431524942613, 0.469210677159174, 0.519047869620273,          0.223142170833011, 0.194600933367586, 0.227231659318009,          0.128302570008396), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 2L,          2L, 2L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 5L,          5L, 4L, 3L, 4L, 3L, 4L, 2L, 6L, 7L, 1L, 1L, 2L, 4L, 4L,          3L, 3L, 2L, 3L), WITHIN_350M_BUS = c(4L, 8L, 8L, 9L,          8L, 7L, 5L, 7L, 10L, 12L, 11L, 5L, 4L, 6L, 7L, 7L, 11L,          7L, 8L, 7L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 3L, 3L,          3L, 2L, 3L, 2L, 1L, 1L, 3L, 3L, 5L, 4L, 3L, 2L, 3L, 4L,          3L), DNeighbour = c(0, 366.669100221908, 431.011340895155,          467.038336887014, 486.677811508911, 505.102340742627,          556.243567612584, 632.141516784866, 854.398153018738,          1108.55660084528, 1184.70301923539, 1323.87494316722,          1409.57002060209, 1656.05594961208, 1659.47752759557,          1673.30118999063, 1698.0770051821, 1719.4476672579, 1761.99244740746,          1780.07995949069)), row.names = c("950", "647", "735",      "829", "133", "82", "449", "345", "209", "370", "344", "204",      "713", "628", "417", "114", "485", "682", "920", "676"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.916940946260116, 0.886182946704531, 0.867063320654824,      0.856089832076182, 0.845451661759142, 0.814244151516977,      0.763683691009844, 0.592317552283217, 0.374757222854236,      0.310321448351022, 0.199706810162708, 0.139100194457513,      0.0180881503847949, 0.0171379642283852, 0.0135425612467543,      0.00810213189863509, 0.00448403283256493, 0.000408803395809319,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7154106522 
R squared (OOB):                  0.1947258 

$Forests[[951]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(293000, 315000, 355000,      338000, 303888, 335000, 340000, 325000, 362000, 340000, 370000,      320000, 336000, 348000, 326000, 416000, 380000, 370000, 380000,      360000), floor_area_sqm = c(86, 87, 94, 94, 90, 90, 102,      90, 94, 90, 95, 91, 90, 95, 101, 93, 93, 93, 93, 93), storey_order = c(1L,      5L, 4L, 2L, 5L, 5L, 2L, 4L, 4L, 4L, 5L, 1L, 2L, 1L, 1L, 6L,      2L, 1L, 2L, 2L), remaining_lease_mths = c(1006, 1004, 1070,      1076, 1008, 998, 968, 973, 976, 1011, 977, 980, 966, 968,      942, 1132, 1132, 1125, 1136, 1135), PROX_CBD = c(18.9558501171738,      18.9558501171738, 18.9417612550563, 18.893500205596, 19.0279685600245,      18.976831626196, 18.6342583478867, 18.5353901232527, 18.3273029006797,      18.5954829873069, 18.2449080671561, 18.4122801485573, 18.263890012402,      18.0323194354466, 17.6460086713989, 18.2305685201872, 18.1279148711176,      18.2305685201872, 18.1376577985599, 18.1376577985599), PROX_ELDERLYCARE = c(3.04148171914245,      3.04148171914245, 3.09832013994742, 3.10102691254995, 3.26154359027314,      3.28231449363414, 2.72992435028626, 3.18651864771223, 2.7120525382807,      3.21245115339435, 2.54228790651909, 3.05606256580079, 2.93603771613334,      2.88259030935981, 2.69583292953839, 2.5602844754638, 2.51087611030153,      2.5602844754638, 2.49441526227585, 2.49441526227585), PROX_HAWKER = c(1.03425383708264,      1.03425383708264, 0.981837341088666, 0.926259022488312, 0.990561993667382,      0.923592674397851, 0.947673142820091, 0.491879726860981,      0.729165861663657, 0.468862715548992, 0.859760115655931,      0.284310921582288, 0.135415800319106, 0.459055170630849,      0.543702723258422, 0.555435817196439, 0.487567663506197,      0.555435817196439, 0.528296501129656, 0.528296501129656),          PROX_MRT = c(0.87145727172961, 0.87145727172961, 0.831940647091921,          0.777214903782309, 0.880588410111357, 0.822784932057268,          0.717283111076423, 0.375479822529604, 0.470919202147399,          0.485913485771313, 0.597257652192269, 0.34633408104891,          0.269488316579814, 0.228324090957444, 0.514213843772978,          0.810957189319413, 0.74928998522808, 0.810957189319413,          0.789676869843372, 0.789676869843372), PROX_PARK = c(1.64892029001525,          1.64892029001525, 1.58031197441792, 1.53153013283021,          1.5140651316136, 1.4431849310919, 1.68545701841371, 1.15334089580929,          1.51959638840156, 0.966363588730214, 1.66089445329223,          0.872887750975024, 0.826451671225411, 1.25712692932115,          0.873328686748902, 0.269300347674678, 0.317511189836545,          0.269300347674678, 0.276326305891841, 0.276326305891841         ), PROX_GOOD_PRISCH = c(9.30119351841798, 9.30119351841798,          9.2863930262578, 9.23793284137011, 9.37202430611723,          9.32093903042593, 8.98296462693421, 8.87993213136606,          8.6741083827629, 8.94334048589707, 8.59525181849715,          8.76068312560123, 8.61262144573917, 8.37645219680457,          7.99076792195858, 8.60245346442475, 8.49670627721454,          8.60245346442475, 8.50873818737911, 8.50873818737911),          PROX_MALL = c(0.918650450187965, 0.918650450187965, 0.886414086630636,          0.833273819621717, 0.951179576311185, 0.897736377807805,          0.719594778264249, 0.460655941356388, 0.437943127987326,          0.594166870248601, 0.537890109309282, 0.458641270318743,          0.374925429890344, 0.12060760008054, 0.441435937338541,          0.89702383385846, 0.819155488013484, 0.89702383385846,          0.814982856398022, 0.814982856398022), PROX_CHAS = c(0.067384164825537,          0.067384164825537, 0.0880613138842689, 0.143741090403558,          0.184556275618948, 0.237819060284531, 0.294409401108374,          0.165734202429707, 0.319053536773146, 0.186588167457245,          0.274147949012332, 0.182706372800723, 0.0541347282504724,          0.120607657412939, 0.441435968696221, 0.080524556228062,          0.0462043949149095, 0.080524556228062, 0.0547102897319272,          0.0547102897319272), PROX_SUPERMARKET = c(0.102761308178796,          0.102761308178796, 0.175726554209016, 0.218188374485768,          0.3125742651816, 0.322795161753339, 0.247755307750907,          0.167679568764744, 0.198027823348086, 0.195869762300225,          0.161035318973668, 0.182706945219403, 0.0541355525390397,          0.119017844673248, 0.446325988440648, 0.512175097136782,          0.467157902200199, 0.512175097136782, 0.504768063926141,          0.504768063926141), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 2L, 2L, 3L, 1L, 2L, 0L, 2L, 0L, 2L, 0L, 2L, 1L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 2L, 4L, 4L, 7L, 6L, 4L, 4L, 7L, 5L, 4L, 2L, 3L,          3L, 3L, 2L, 2L), WITHIN_350M_BUS = c(8L, 8L, 8L, 8L,          6L, 9L, 5L, 12L, 12L, 10L, 9L, 12L, 11L, 14L, 11L, 7L,          10L, 7L, 10L, 10L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L,          4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 3L, 2L, 2L,          2L, 2L, 2L), DNeighbour = c(0, 4.03390690660277, 73.4572695644196,          113.311410882542, 218.716071369492, 255.105387346098,          373.034055493443, 537.552167366171, 631.929556697751,          681.981129091127, 754.474441394517, 807.737356734547,          917.350799662858, 935.08819695557, 1352.42273785176,          1379.58054370606, 1384.81608047039, 1385.15557855531,          1412.17213490868, 1422.89104878674)), row.names = c("951",      "52", "932", "745", "570", "915", "7", "838", "873", "901",      "5", "722", "548", "354", "456", "401", "461", "770", "285",      "378"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999983925528658,      0.99467674657936, 0.987356866311083, 0.953303224084391, 0.936745803168767,      0.867261653753878, 0.734921615537904, 0.644424311037764,      0.593329149142307, 0.516738172679668, 0.459340921526147,      0.34146513689122, 0.322761731989403, 0.0093309383686938,      0.0035940353611623, 0.00278802151941456, 0.00273918631417789,      0.000225289244408899, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       526299328 
R squared (OOB):                  0.3871198 

$Forests[[952]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(620000, 560000, 660000,      515000, 451000, 488000, 385000, 465000, 409500, 418000, 678000,      520000, 290000, 538000, 545000, 446000, 590000, 480000, 650000,      640000), floor_area_sqm = c(103, 105, 105, 84, 83, 104, 93,      91, 84, 84, 92, 107, 87, 90, 101, 94, 90, 94, 90, 90), storey_order = c(4L,      2L, 6L, 4L, 8L, 1L, 1L, 2L, 3L, 3L, 3L, 2L, 1L, 5L, 1L, 2L,      2L, 6L, 6L, 2L), remaining_lease_mths = c(742, 913, 748,      804, 604, 776, 772, 764, 807, 804, 1103, 892, 643, 995, 938,      723, 996, 725, 1011, 1011), PROX_CBD = c(3.79744534670369,      3.91005014077452, 3.5952466633456, 3.75781957676323, 3.63056019358172,      4.16405648472164, 4.25035751849909, 4.28329341592686, 4.20973993763024,      4.20973993763024, 3.93031212371417, 4.23142849537126, 4.35364804731157,      4.4759193492502, 3.59494173601466, 4.45295385586978, 2.69989267302812,      4.50933618399607, 2.65695642963531, 2.65695642963531), PROX_ELDERLYCARE = c(0.296175206272889,      0.449207181019876, 0.354500614782039, 0.582389211118023,      0.124703716495981, 0.434539750657667, 0.411587417191489,      0.4193003334471, 0.156291063754703, 0.156291063754703, 0.159701117649001,      0.272010492111063, 0.402111762367986, 0.136621520737764,      0.692364880740494, 0.645271528549996, 0.352346052518342,      0.665866395733666, 0.3590471791371, 0.3590471791371), PROX_HAWKER = c(0.300770398866256,      0.464701711390969, 0.311385334077859, 0.393163811818296,      0.0619655343942362, 0.502732414569621, 0.610932712322496,      0.638679046714181, 0.46881842734995, 0.46881842734995, 0.374782156946409,      0.392124905911543, 0.52502919100195, 0.736355433757935, 0.142789347249218,      0.601904675681234, 0.468835135082758, 0.665007751295857,      0.48810855559281, 0.48810855559281), PROX_MRT = c(0.195276091150508,      0.361698258812245, 0.16267041353008, 0.434583879195091, 0.188513622979597,      0.518003091395578, 0.605174310138743, 0.637237645879563,      0.750034220630686, 0.750034220630686, 0.57487373386568, 0.870814763860364,      0.698417082344063, 0.930431293452388, 0.346622733589529,      0.66128766903618, 0.230131940688868, 0.549595780709265, 0.285614625668497,      0.285614625668497), PROX_PARK = c(0.620239922284967, 0.651892034671684,      0.796125682214674, 0.885911587583127, 0.634729277660292,      0.269719137898212, 0.346786980248178, 0.336599362476296,      0.828179073128827, 0.828179073128827, 0.43227753152338, 0.989030190878471,      0.0959047492621704, 0.786607284590569, 1.03638785093261,      0.473457593144303, 0.41386436288237, 0.353281501558379, 0.426964305014519,      0.426964305014519), PROX_GOOD_PRISCH = c(4.13618512399158,      3.96984616110429, 4.26949140427292, 3.98479480133756, 4.47678155678584,      3.99853475328204, 3.87277035706644, 3.85984302070176, 3.58178441884724,      3.58178441884724, 4.55218800106713, 3.47561641519302, 4.11088283479722,      3.43096694593549, 4.68517728936996, 3.02211493728223, 4.75214496578899,      2.94429219434277, 4.78575462214909, 4.78575462214909), PROX_MALL = c(1.16769889708728,      1.2652175398851, 0.962766222186716, 1.1081035152608, 0.917363569028491,      1.00998414702412, 0.955673327573223, 0.92062293894618, 1.26743973989934,      1.26743973989934, 1.09934779211931, 1.1888213641646, 0.801857467962545,      1.02435160052226, 0.814872047472938, 0.570379319619026, 0.380876218870723,      0.485349818185599, 0.412388661644518, 0.412388661644518),          PROX_CHAS = c(0.121619853002556, 0.108899254787234, 0.0963682910788478,          0.345906079563203, 0.112941217538546, 0.147909276913635,          0.260827480873255, 0.285886541141976, 0.163154212627783,          0.163154212627783, 0.304936065418075, 0.106822211501606,          0.130252709580884, 0.105578702221058, 0.0573592222158038,          0.303272176186244, 0.202908600866322, 0.331046161101227,          0.260712311456847, 0.260712311456847), PROX_SUPERMARKET = c(0.191561540751545,          0.115229795891962, 0.269187390315468, 0.128350069204848,          0.0867224629960944, 0.506391752127701, 0.512280309006142,          0.506434284786685, 0.118448079318654, 0.118448079318654,          0.35411008396507, 0.139079920157556, 0.591301773724787,          0.0670716613901785, 0.0573596645426592, 0.34627255092781,          0.44532403657541, 0.325943517329761, 0.447218369070658,          0.447218369070658), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 2L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 0L, 1L,          0L, 1L, 0L, 2L, 2L), WITHIN_350M_CHILDCARE = c(4L, 4L,          4L, 4L, 5L, 6L, 5L, 4L, 3L, 3L, 3L, 6L, 4L, 2L, 3L, 1L,          2L, 1L, 2L, 2L), WITHIN_350M_BUS = c(5L, 5L, 6L, 3L,          4L, 5L, 5L, 5L, 7L, 7L, 5L, 7L, 6L, 5L, 4L, 6L, 4L, 5L,          3L, 3L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 3L,          3L, 3L, 3L, 3L, 1L, 2L, 2L, 3L, 0L, 1L, 2L, 0L, 2L, 2L         ), DNeighbour = c(0, 157.49842226421, 208.627732479835,          305.682757077823, 359.157587186348, 401.305449300089,          458.606452973742, 497.657748445099, 548.17957054848,          549.500605716885, 677.63755115627, 682.48257398615, 709.079597928407,          731.420506936643, 1286.66219185369, 1313.13901085836,          1379.56473371682, 1434.03212132953, 1442.97224513032,          1443.589124049)), row.names = c("952", "176", "699",      "234", "237", "223", "19", "747", "382", "907", "801", "849",      "532", "411", "997", "346", "796", "622", "821", "521"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.976335205921788, 0.9586640743959, 0.912332780037986, 0.880033685460929,      0.851413578340627, 0.808338211691869, 0.776437305891381,      0.73239748779104, 0.731206986628471, 0.60785833855893, 0.602937541436098,      0.575671674498078, 0.55247626714964, 0.042269373780899, 0.0297784708129946,      0.00752290524869979, 0.000174155131622814, 7.30107890931187e-07,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8529535386 
R squared (OOB):                  0.2010025 

$Forests[[953]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320000, 288000, 295000,      320000, 312000, 336000, 330000, 338000, 330000, 315000, 295000,      305000, 315000, 349000, 388000, 365000, 345000, 313000, 415000,      350000), floor_area_sqm = c(84, 84, 84, 104, 101, 102, 115,      102, 103, 103, 101, 99, 102, 103, 92, 92, 102, 99, 92, 102     ), storey_order = c(4L, 3L, 4L, 4L, 2L, 3L, 1L, 4L, 1L, 2L,      1L, 1L, 2L, 2L, 1L, 1L, 4L, 4L, 2L, 4L), remaining_lease_mths = c(885,      893, 875, 893, 933, 916, 898, 922, 928, 926, 917, 921, 913,      832, 1134, 1135, 926, 918, 1125, 923), PROX_CBD = c(18.3433564216417,      18.3632948597919, 18.4249149071789, 18.4249149071789, 18.4625985868209,      18.5506225538857, 18.4399301385868, 18.1611534549189, 18.5768909080638,      18.5458637520931, 18.4986491838169, 17.9733391318796, 17.9994058772431,      18.0642207733449, 17.8160591469996, 17.8160591469996, 18.236688278315,      17.8728040148932, 17.7609329148819, 18.0569924715364), PROX_ELDERLYCARE = c(0.623669944895056,      0.645296274244347, 0.705240184131779, 0.705240184131779,      0.765079897684544, 0.859723249528503, 0.789710764787337,      0.519233937445895, 0.912532633143698, 0.890661700747245,      0.86418951980865, 0.376016337241346, 0.430537495183344, 0.558648465009425,      0.101440000613482, 0.101440000613482, 0.732088251039709,      0.330981516384048, 0.0656405943898966, 0.59750504274373),          PROX_HAWKER = c(0.960648791795978, 0.921741667576702,          1.0161652570538, 1.0161652570538, 0.906262708365532,          0.958117298193611, 1.26661829972954, 0.617364695979906,          0.935860141611343, 0.898999046399804, 0.838043969781633,          0.501520555884575, 0.472244893923117, 1.20831273824173,          0.755409785256781, 0.755409785256781, 0.537987121264097,          0.446535534086157, 0.769612072642938, 0.391180253405874         ), PROX_MRT = c(0.899458799363821, 0.927224403125457,          0.906393011935236, 0.906393011935236, 0.897303014326537,          0.942174684471822, 0.715824290886542, 0.623413162025338,          0.912233851204259, 0.87509641959225, 0.812751343363136,          0.52882455357406, 0.492638498779759, 0.387700307898407,          0.729659889526201, 0.729659889526201, 0.511061821383635,          0.4868918768976, 0.714624513867521, 0.384524332485438         ), PROX_PARK = c(1.17596756648915, 1.22890358268929,          1.13759587953072, 1.13759587953072, 1.31620863428189,          1.32670572464855, 0.859791414716402, 1.52418818882418,          1.41172869826724, 1.4387346144793, 1.49181484955502,          1.62685700377268, 1.65421298847909, 1.04306097562022,          1.49250729308795, 1.49250729308795, 1.7164330470264,          1.69875568186822, 1.52091098886828, 1.77011013021076),          PROX_GOOD_PRISCH = c(8.95760590087653, 8.96505409295358,          9.03817471771729, 9.03817471771729, 9.04019528068803,          9.12094588228633, 9.10971468714541, 8.72758527833631,          9.13217936844248, 9.09837600782165, 9.04519470993137,          8.54142359534323, 8.5589292690065, 8.76549326341746,          8.44175881664207, 8.44175881664207, 8.76378557853615,          8.43952013253886, 8.39120163011403, 8.58956131155308),          PROX_MALL = c(0.22079632378696, 0.282416841692855, 0.204519313237763,          0.204519313237763, 0.414588198127445, 0.46921205797367,          0.107021299056373, 0.475604736810637, 0.390092702495136,          0.359721010486642, 0.305101649121832, 0.395841490391381,          0.446560923090423, 0.424594513900518, 0.183177100903513,          0.183177100903513, 0.240339889961931, 0.330972758922268,          0.147411017927622, 0.407254736414821), PROX_CHAS = c(0.167893491583302,          0.231219576578415, 0.20451929737041, 0.20451929737041,          0.399223798550346, 0.469212052170377, 0.107021320216693,          0.405258493214775, 0.390092699752756, 0.359721009550721,          0.305101651313883, 0.364030465322827, 0.324811070171065,          0.124680964632411, 0.183177099178452, 0.183177099178452,          0.184864523484869, 0.330972805611547, 0.14741100268466,          0.222103720735081), PROX_SUPERMARKET = c(0.220795796105544,          0.282416494634945, 0.204519239868594, 0.204519239868594,          0.414588227521533, 0.469212308573368, 0.107021556198121,          0.475604214408431, 0.390093045846372, 0.359721304530864,          0.305101855713295, 0.356071330024396, 0.408691343873882,          0.424593495373258, 0.137568853383185, 0.137568853383185,          0.240339157209448, 0.300218301814749, 0.113022549454425,          0.385535197909366), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L,          2L, 2L, 1L, 2L, 2L), WITHIN_350M_CHILDCARE = c(8L, 8L,          7L, 7L, 6L, 6L, 4L, 5L, 5L, 5L, 6L, 3L, 4L, 2L, 8L, 8L,          6L, 4L, 8L, 4L), WITHIN_350M_BUS = c(8L, 8L, 9L, 9L,          8L, 8L, 7L, 10L, 9L, 9L, 9L, 11L, 9L, 7L, 15L, 15L, 7L,          8L, 10L, 9L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 5L,          5L, 3L, 6L, 4L, 4L, 4L, 7L, 7L, 6L, 6L, 6L, 6L, 7L, 6L,          6L), DNeighbour = c(0, 69.8695069902255, 76.6249055340987,          82.9864075736119, 238.104104328424, 324.278207375702,          324.979837447431, 348.749411624555, 409.635946463696,          414.05883555159, 425.723078695655, 478.867982466378,          495.787483495183, 510.553124837135, 530.036106684985,          533.441550883, 559.959258608442, 569.417351578014, 581.048350429214,          590.580072013519)), row.names = c("953", "864", "265",      "738", "729", "291", "247", "330", "828", "576", "684", "179",      "177", "773", "53", "402", "227", "992", "365", "491"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.972203008003765, 0.966615764303299, 0.960899935049642,      0.701329264980193, 0.487911333706088, 0.486088436446261,      0.424173446782242, 0.269253547112179, 0.25852274275168, 0.230752353860862,      0.117328788481149, 0.0871740424318935, 0.063831795100655,      0.0378390606041266, 0.0339072188490046, 0.0102028436398231,      0.00495383896920813, 0.00102519703220648, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1087711540 
R squared (OOB):                  -0.08924795 

$Forests[[954]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 380000, 365000,      441000, 358000, 415000, 440000, 456500, 448000, 435000, 320000,      418000, 415000, 460000, 420000, 395000, 436000, 440000, 440000,      435000), floor_area_sqm = c(94, 94, 94, 93, 93, 94, 96, 92,      96, 95, 92, 92, 92, 92, 92, 94, 92, 92, 92, 92), storey_order = c(1L,      1L, 1L, 6L, 1L, 6L, 7L, 8L, 9L, 6L, 2L, 6L, 8L, 7L, 6L, 4L,      7L, 8L, 5L, 2L), remaining_lease_mths = c(1096, 1107, 1095,      1097, 1103, 1120, 1108, 1144, 1110, 1105, 1009, 1129, 1140,      1125, 1142, 1113, 1139, 1142, 1124, 1128), PROX_CBD = c(11.6781560559471,      11.6781560559471, 11.7965908296893, 11.8078122246038, 11.8075546541859,      11.7484946081343, 11.6053344020152, 11.9527102757424, 11.5810624146691,      11.6071858552171, 11.3397363359505, 12.02897658153, 12.02897658153,      12.02897658153, 12.02897658153, 11.9744040829633, 12.042332185553,      12.042332185553, 12.0234479092478, 12.042332185553), PROX_ELDERLYCARE = c(1.09658820367145,      1.09658820367145, 1.00802268588986, 0.95260617550949, 0.922118515238085,      1.16050252277995, 1.04503450829128, 0.819362766143575, 1.05973522725621,      1.02315858897206, 1.39271535621019, 0.841755023464642, 0.841755023464642,      0.841755023464642, 0.841755023464642, 0.738781707341689,      0.786890441142101, 0.786890441142101, 0.938035651111226,      0.786890441142101), PROX_HAWKER = c(0.34952328079698, 0.34952328079698,      0.337854809554552, 0.262687630178652, 0.209140712961875,      0.512143004921159, 0.210992660312359, 0.27814297307049, 0.226379932511381,      0.193888136950838, 0.570701345451429, 0.409616357379742,      0.409616357379742, 0.409616357379742, 0.409616357379742,      0.217370340361849, 0.369655971945997, 0.369655971945997,      0.507473565259923, 0.369655971945997), PROX_MRT = c(0.274140861026222,      0.274140861026222, 0.249549573241666, 0.173777829752023,      0.120215557602138, 0.425815084561206, 0.206803096961617,      0.200702114351669, 0.233016580221366, 0.216093917824789,      0.534489810386183, 0.331072457322778, 0.331072457322778,      0.331072457322778, 0.331072457322778, 0.167322140356011,      0.298263347673859, 0.298263347673859, 0.394231498000209,      0.298263347673859), PROX_PARK = c(0.620391651843957, 0.620391651843957,      0.739061594864021, 0.746013140888617, 0.747098338531098,      0.660489483199184, 0.554363925008431, 0.643017670933737,      0.520771390450273, 0.521580333579447, 0.290298216204727,      0.529446955515876, 0.529446955515876, 0.529446955515876,      0.529446955515876, 0.679906922269617, 0.542226246468638,      0.542226246468638, 0.506408767470305, 0.542226246468638),          PROX_GOOD_PRISCH = c(2.02616945457316, 2.02616945457316,          2.14271827973834, 2.13533890725473, 2.12338877581429,          2.14657014261275, 1.90056431650247, 2.270018309959, 1.87254500118751,          1.89230283405924, 1.70706505143727, 2.36775586018775,          2.36775586018775, 2.36775586018775, 2.36775586018775,          2.27223739349538, 2.36724315061599, 2.36724315061599,          2.39172047379238, 2.36724315061599), PROX_MALL = c(0.244599870232268,          0.244599870232268, 0.241737870027575, 0.17025857997445,          0.119447773727589, 0.411213390710639, 0.158081786709397,          0.232344363503357, 0.185878129611589, 0.173810560938293,          0.459056401007768, 0.358721564938295, 0.358721564938295,          0.358721564938295, 0.358721564938295, 0.214069216816763,          0.332547569579886, 0.332547569579886, 0.441394824612777,          0.332547569579886), PROX_CHAS = c(0.163903281406512,          0.163903281406512, 0.101692541492014, 0.170258520163124,          0.11944771257822, 0.0876622280470988, 0.158081821824728,          0.146038815472653, 0.185878170229198, 0.173810611614792,          0.111613351644546, 0.25157977989641, 0.25157977989641,          0.25157977989641, 0.25157977989641, 0.0939357367291076,          0.236223262451169, 0.236223262451169, 0.223839041128234,          0.236223262451169), PROX_SUPERMARKET = c(0.19333058996533,          0.19333058996533, 0.17897337633635, 0.168966076328732,          0.119571834445138, 1.21715176356525e-07, 0.148884454693003,          0.237998550380205, 0.177355035948325, 0.1671684124578,          0.440050810323431, 0.314501000490003, 0.314501000490003,          0.314501000490003, 0.314501000490003, 0.22318738818849,          0.33849828517841, 0.33849828517841, 0.244018176385425,          0.33849828517841), WITHIN_350M_KINDERGARTEN = c(0L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(2L, 2L, 3L,          4L, 4L, 2L, 4L, 5L, 4L, 4L, 1L, 4L, 4L, 4L, 4L, 7L, 4L,          4L, 2L, 4L), WITHIN_350M_BUS = c(9L, 9L, 9L, 11L, 10L,          11L, 8L, 12L, 7L, 6L, 9L, 11L, 11L, 11L, 11L, 10L, 10L,          10L, 10L, 10L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L,          3L, 2L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L), DNeighbour = c(0, 4.81665513690762, 120.294034891817,          144.991963191145, 181.499567644183, 193.964046575613,          261.915953031384, 287.663930594148, 288.27115082328,          317.540545549728, 343.980248028642, 344.888333153051,          348.467685167896, 348.968904089209, 350.9545999963, 359.648336783447,          362.679083057933, 363.895031906131, 365.301577707724,          365.754492472079)), row.names = c("954", "644", "41",      "439", "724", "441", "158", "749", "182", "922", "254", "700",      "287", "874", "318", "858", "573", "16", "502", "908"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999653180025056, 0.795359853115231, 0.710399698863714,      0.568142813080916, 0.516628928822839, 0.237367811096983,      0.145485988472037, 0.143498566109846, 0.0606461489382821,      0.0133450326069891, 0.012286526261042, 0.00851799867799855,      0.00804248870452606, 0.00628701174942668, 0.00109631551479395,      0.000280431705414585, 0.000102859373784094, 6.12598113393657e-06,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       927869119 
R squared (OOB):                  0.3717418 

$Forests[[955]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 450000, 422500,      385000, 425000, 408000, 365000, 425000, 405000, 415000, 468000,      420000, 415000, 440000, 395000, 415000, 415000, 428888, 385000,      420000), floor_area_sqm = c(107, 106, 104, 84, 104, 105,      84, 104, 106, 108, 106, 106, 103, 104, 103, 108, 84, 84,      102, 103), storey_order = c(1L, 2L, 3L, 2L, 4L, 1L, 4L, 2L,      2L, 2L, 5L, 3L, 2L, 3L, 4L, 3L, 3L, 3L, 3L, 2L), remaining_lease_mths = c(912,      919, 765, 815, 775, 797, 787, 801, 778, 891, 863, 874, 768,      752, 772, 904, 782, 774, 755, 757), PROX_CBD = c(13.6047453762483,      13.6245617307962, 13.4875816574924, 13.8115996810708, 13.5598735525989,      13.8987191813532, 13.5012180894848, 13.9224032790502, 13.2146489403719,      13.8459786715751, 13.629257933267, 13.629257933267, 13.0537205387581,      13.1913836000948, 13.1724132817366, 13.7944980809676, 12.8776183162857,      12.8776183162857, 13.2614515751509, 13.2614515751509), PROX_ELDERLYCARE = c(0.271914041498034,      0.120631950903102, 0.428841001075194, 0.244605555667631,      0.555470204987842, 0.166628987045545, 0.126566715598502,      0.160860892679658, 0.392334185262972, 0.429452782693922,      0.207468408301612, 0.207468408301612, 0.569472877275307,      0.779182108791446, 0.906244923447749, 0.91518434198946, 0.211786543917104,      0.211786543917104, 0.99636081833896, 0.99636081833896), PROX_HAWKER = c(1.50728197565297,      1.48009929412898, 1.41347495302278, 1.71143518366979, 1.44869421276883,      1.60647998640073, 1.32455892398921, 1.57003684649171, 1.1504484389926,      1.71981564227335, 1.4012681206183, 1.4012681206183, 0.963287544217337,      1.05769292681279, 1.03184370064912, 1.66782294138278, 0.677647820815747,      0.677647820815747, 1.14030290242306, 1.14030290242306), PROX_MRT = c(0.222008379422339,      0.357520644011877, 0.229256973107587, 0.198072339225813,      0.172867375742438, 0.337555536848429, 0.54422435083218, 0.375491068655226,      0.530339592860526, 0.2084775132707, 0.681065013996815, 0.681065013996815,      0.551410176707671, 0.577154139562059, 0.712767869041386,      0.658832763416297, 0.301948361527339, 0.301948361527339,      0.667490524156887, 0.667490524156887), PROX_PARK = c(0.882483872449952,      0.731000545087102, 1.00267286051928, 0.925135888784, 1.16233583500127,      0.83983547285748, 0.593866981909781, 0.819174175884815, 0.763919329225246,      1.1446906726086, 0.403276931712581, 0.403276931712581, 0.974634241933185,      1.12092772213378, 0.94305137750942, 0.645156432286565, 0.246982674114576,      0.246982674114576, 0.758867978246924, 0.758867978246924),          PROX_GOOD_PRISCH = c(1.96272742295518, 1.96554365084008,          1.87202126825599, 2.17137072991142, 1.97663004084467,          2.24487256678893, 1.8351788996921, 2.26578798898653,          1.57814209766337, 2.27101821651052, 1.96779323327463,          1.96779323327463, 1.48818847749708, 1.6842887316892,          1.76071721252525, 2.39271928635374, 1.22334421357001,          1.22334421357001, 1.91909050044553, 1.91909050044553),          PROX_MALL = c(1.0427530371351, 1.05956757611768, 0.948424723316687,          1.25122768833936, 1.05810160080284, 1.33259876169033,          0.956400108312903, 1.34118728457461, 0.655287065425073,          1.35153556565047, 1.12429495075828, 1.12429495075828,          0.593340478429386, 0.813382909306435, 0.808064657998832,          1.14990641994387, 0.503182159926002, 0.503182159926002,          0.72813233212774, 0.72813233212774), PROX_CHAS = c(0.15212794302602,          2.17172157220984e-06, 0.231037598077535, 0.130123043615932,          0.180657994610612, 0.0582471476749484, 0.0648495538885981,          0.0806372798138111, 0.358071114142678, 0.345234103044859,          0.260044927245007, 0.260044927245007, 0.203693673714882,          0.19044114280624, 0.253073540027742, 0.17469359838053,          0.128785172156574, 0.128785172156574, 0.255705601713763,          0.255705601713763), PROX_SUPERMARKET = c(0.353624023725788,          0.237807435452358, 0.231037826802092, 0.30366394922488,          0.180658044884504, 0.2065347950197, 0.329742543966106,          0.189550835904173, 0.384538867225359, 0.426625283183798,          0.288903462518554, 0.288903462518554, 0.349948262987797,          0.190441743522314, 0.263318229535236, 0.357404112790227,          0.17067511852319, 0.17067511852319, 0.336474046543398,          0.336474046543398), WITHIN_350M_KINDERGARTEN = c(0L,          3L, 2L, 0L, 2L, 2L, 1L, 3L, 2L, 1L, 3L, 3L, 2L, 3L, 1L,          1L, 0L, 0L, 2L, 2L), WITHIN_350M_CHILDCARE = c(6L, 5L,          2L, 3L, 3L, 3L, 5L, 3L, 3L, 3L, 6L, 6L, 2L, 4L, 3L, 3L,          1L, 1L, 2L, 2L), WITHIN_350M_BUS = c(12L, 10L, 10L, 10L,          11L, 9L, 7L, 9L, 9L, 12L, 6L, 6L, 8L, 8L, 6L, 7L, 12L,          12L, 6L, 6L), WITHIN_1KM_PRISCH = c(5L, 4L, 5L, 5L, 6L,          4L, 4L, 3L, 6L, 5L, 2L, 2L, 6L, 5L, 4L, 4L, 4L, 4L, 4L,          4L), DNeighbour = c(0, 158.41458435492, 178.730392477328,          220.252229513097, 281.969828040208, 311.633642860531,          323.226644449419, 345.248019417861, 385.842716429632,          435.475074993844, 481.651692358274, 483.976561443279,          601.40275739837, 604.244999738793, 783.815312168362,          867.64872808529, 879.315848733919, 880.900579524054,          887.462783362109, 891.474581505524)), row.names = c("955",      "656", "663", "235", "564", "531", "264", "219", "511", "970",      "415", "503", "541", "229", "225", "542", "259", "892", "473",      "753"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.937842891769081,      0.921224420006775, 0.881643724605246, 0.809922335234302,      0.770533068458341, 0.754360285648417, 0.722527475943529,      0.660435788627787, 0.579697969562577, 0.501392134568988,      0.497399660069499, 0.296909083655558, 0.292228676667966,      0.0515047085974511, 0.00278133716562851, 0.000733964577828894,      0.000556101704241338, 8.06424291953902e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       643617834 
R squared (OOB):                  -0.195165 

$Forests[[956]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(310000, 315000, 415000,      415000, 565000, 350000, 365000, 395000, 370000, 508000, 370000,      416000, 433000, 588000, 550000, 530000, 613000, 310000, 420000,      568000), floor_area_sqm = c(84, 84, 92, 93, 92, 108, 92,      92, 92, 92, 104, 92, 92, 92, 92, 92, 92, 105, 92, 92), storey_order = c(2L,      3L, 5L, 4L, 5L, 1L, 1L, 2L, 1L, 1L, 4L, 4L, 4L, 2L, 2L, 2L,      4L, 3L, 3L, 4L), remaining_lease_mths = c(811, 804, 1144,      1141, 1117, 809, 1137, 1146, 1146, 1121, 805, 1140, 1130,      1119, 1124, 1108, 1119, 827, 1144, 1117), PROX_CBD = c(15.7493840144196,      15.9050437012323, 15.9533618390172, 15.719551353229, 15.5121102277751,      15.5495667695359, 16.0046521285213, 16.0046521285213, 15.87024444961,      15.4653265021947, 15.7683454047388, 16.055983361932, 16.055983361932,      15.4444506298565, 15.4589251607201, 15.4274201584828, 15.4589251607201,      15.6029325535915, 15.9392575628934, 15.3987887594526), PROX_ELDERLYCARE = c(0.392042381698264,      0.346730428331521, 0.251148223850536, 0.251997184681221,      0.536539272984936, 0.619297318170404, 0.20718686492254, 0.20718686492254,      0.10693627682917, 0.595913887497293, 0.584689505447093, 0.146417557277997,      0.146417557277997, 0.64097589351183, 0.68815946921851, 0.637452860447804,      0.68815946921851, 0.338118814836049, 0.0436662178849567,      0.578356799737993), PROX_HAWKER = c(0.617009737136425, 0.79668564149145,      0.802087399746937, 0.543607139892928, 0.396815374523363,      0.5213921544653, 0.855932206484513, 0.855932206484513, 0.694651515851724,      0.380307090885425, 0.791474322012874, 0.897672222950446,      0.897672222950446, 0.396657168515828, 0.469966667540803,      0.365463704587155, 0.469966667540803, 0.432858942767381,      0.765854363537175, 0.294909248784724), PROX_MRT = c(0.825478596695925,      0.750476153315833, 0.8851452059773, 1.04322565796881, 0.8698145169005,      0.711232187253978, 0.883219311345816, 0.883219311345816,      1.09555222562317, 0.848209897671344, 0.523772975672589, 0.936151237003446,      0.936151237003446, 0.812282865657068, 0.729135125223405,      0.843485398790606, 0.729135125223405, 1.13678031777592, 1.14464062157712,      0.921278705332003), PROX_PARK = c(0.423881452963658, 0.475878847958935,      0.589052524814441, 0.60075194434184, 0.357009242210065, 0.20876400491182,      0.619767633008914, 0.619767633008914, 0.707790886000148,      0.321827820326955, 0.270342199592644, 0.683762717294504,      0.683762717294504, 0.279663832574521, 0.194645215248471,      0.308677700833154, 0.194645215248471, 0.578149656320062,      0.777956069134633, 0.283836897691409), PROX_GOOD_PRISCH = c(6.32317863359129,      6.45664561130608, 6.52939634907869, 6.34176102939636, 6.0946998605156,      6.09891773314498, 6.57618460349959, 6.57618460349959, 6.49806658702102,      6.04109347904609, 6.2828979894293, 6.63421015362065, 6.63421015362065,      6.01089245018733, 6.00758296280353, 6.00000717285666, 6.00758296280353,      6.24898658848638, 6.57394481891556, 5.98797030068414), PROX_MALL = c(0.340817581482914,      0.18299798168314, 0.161178852361569, 0.460595397283409, 0.577683661914992,      0.541358966367059, 0.110811660449771, 0.110811660449771,      0.388975340293238, 0.62067023459119, 0.400271919676516, 0.118546137622893,      0.118546137622893, 0.640411632029909, 0.632880647427991,      0.657665812567692, 0.632880647427991, 0.60644342729779, 0.391567182053879,      0.692287086677849), PROX_CHAS = c(0.347229964463676, 0.190026772642962,      0.165813590617473, 0.269388612247007, 0.14804241676277, 0.252209440491103,      0.114687044901222, 0.114687044901222, 0.140210421841136,      0.114224376246159, 0.406778788965278, 0.110329053122027,      0.110329053122027, 0.128062594375949, 0.206736748098593,      0.0964991818226865, 0.206736748098593, 0.336408570757183,      0.0895372628546906, 0.0335692412129841), PROX_SUPERMARKET = c(2.98731019421495e-07,      0.179336240856332, 0.162291812321236, 0.219989756424723,      0.237787830949247, 0.243797536441002, 0.112847248683738,      0.112847248683738, 0.287679129281494, 0.284849629955282,      0.30290594542381, 0.123371553336512, 0.123371553336512, 0.312290330939399,      0.327859325274294, 0.324468805261885, 0.327859325274294,      0.338214025323699, 0.354688671920554, 0.352133387221186),          WITHIN_350M_KINDERGARTEN = c(1L, 0L, 0L, 1L, 1L, 0L,          0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 4L, 3L, 5L, 2L, 1L,          3L, 3L, 4L, 1L, 5L, 3L, 3L, 1L, 2L, 2L, 2L, 4L, 3L, 1L         ), WITHIN_350M_BUS = c(7L, 8L, 8L, 5L, 6L, 6L, 7L, 7L,          8L, 7L, 8L, 7L, 7L, 7L, 7L, 7L, 7L, 6L, 9L, 6L), WITHIN_1KM_PRISCH = c(6L,          6L, 5L, 3L, 4L, 5L, 5L, 5L, 4L, 4L, 7L, 5L, 5L, 4L, 4L,          4L, 4L, 4L, 4L, 4L), DNeighbour = c(0, 178.738618686333,          204.532218896988, 227.565493925629, 242.260778114699,          244.224282684653, 250.057909032971, 251.067541530388,          285.947966575387, 293.341415955527, 297.483689479409,          305.748833323862, 307.414840878637, 315.708177711185,          326.709584462321, 327.319717848495, 332.494069848195,          342.690938163624, 356.508245483737, 359.537021569923)), row.names = c("956",      "59", "124", "698", "605", "236", "594", "408", "582", "962",      "262", "538", "741", "574", "963", "712", "455", "924", "517",      "714"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.566792593301438,      0.457489023922871, 0.359264168507124, 0.298089595901416,      0.29007523975947, 0.266545137673453, 0.262519000531449, 0.135028138098962,      0.111775984857099, 0.0994749817211224, 0.0766330209438743,      0.0723202083619177, 0.0524165670966936, 0.0303710571884817,      0.0293046301743111, 0.0209596937987563, 0.00837490061839275,      0.000281475647418629, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4605831235 
R squared (OOB):                  0.5292947 

$Forests[[957]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(518000, 550000, 515000,      470000, 315000, 520000, 630000, 330000, 310000, 485000, 560000,      630000, 638000, 838000, 815000, 760000, 638000, 650000, 515000,      680000), floor_area_sqm = c(84, 105, 103, 84, 87, 108, 101,      82, 82, 103, 104, 102, 102, 91, 91, 91, 105, 86, 110, 76),          storey_order = c(3L, 2L, 3L, 3L, 1L, 1L, 2L, 4L, 5L,          2L, 3L, 6L, 9L, 12L, 11L, 9L, 3L, 3L, 1L, 11L), remaining_lease_mths = c(781,          786, 823, 813, 633, 860, 952, 657, 656, 855, 851, 870,          869, 1106, 1109, 1091, 918, 1018, 859, 1071), PROX_CBD = c(6.59778313634683,          6.4090346428634, 6.41432963568309, 6.30150758144434,          5.88382015009973, 7.50210394472385, 5.76616775136128,          6.06674643703895, 5.9699685911294, 7.70120549943486,          7.6651195249001, 7.86314261154951, 7.86314261154951,          5.38577040159704, 5.46273996086224, 5.4124717534787,          5.24252163748666, 5.26278746968545, 5.31333197008925,          5.17664618337401), PROX_ELDERLYCARE = c(0.619464736019043,          0.336883008423279, 0.101150617829923, 0.0580157957368266,          0.599695566252105, 0.808331791227546, 0.708186986363007,          0.10409496222889, 4.28110190953706e-07, 0.883817181840043,          0.216787702409289, 0.731462959428347, 0.731462959428347,          0.343873602324804, 0.323825203617813, 0.277453528347438,          0.232760622048558, 0.310343810032976, 0.301885421229742,          0.203403853153192), PROX_HAWKER = c(1.00589931737343,          0.729024203622067, 0.639366917684312, 0.511576723994062,          0.302293625820731, 0.932792437987216, 0.25612232537118,          0.346985863757343, 0.247906315943116, 0.72907919143595,          0.778265933598076, 0.573870222021737, 0.573870222021737,          0.225377370173431, 0.17988889362956, 0.214745652304629,          0.316098981667774, 0.356302899600742, 0.15027253820603,          0.242990200436355), PROX_MRT = c(0.372865816575034, 0.631935879685516,          0.753240517287136, 0.911216039334219, 0.37771060533367,          0.506174946521629, 0.0934691468297738, 1.1005845300218,          1.03854772657135, 0.692418360175919, 0.910191895307983,          0.85984195598231, 0.85984195598231, 0.452916639575337,          0.495510769155532, 0.525678460826462, 0.353807427048722,          0.321982757522174, 0.839256513816073, 0.347215067697513         ), PROX_PARK = c(0.432673847047101, 0.73120409495038,          0.941128983241434, 0.950460734805334, 1.09766236241216,          0.621272392201987, 1.02675087524374, 0.741200181243785,          0.792968228054446, 0.450335295656325, 0.361681715476141,          0.281207712521794, 0.281207712521794, 0.680409922157526,          0.816564732509704, 0.766524211973089, 0.540897442657821,          0.550000337404237, 0.919693677764514, 0.502895249788983         ), PROX_GOOD_PRISCH = c(0.909917905905181, 1.19038460547274,          1.35156641752108, 1.50990256016426, 1.61186682958131,          0.343243332218702, 1.65694818911091, 1.85819018299306,          1.89588922913119, 0.490611064856358, 0.353240700451805,          0.562813849840511, 0.562813849840511, 2.04281306492033,          1.99475835919692, 2.04167837943161, 2.20280244575696,          2.16237499594262, 2.32631552336422, 2.27859573799937),          PROX_MALL = c(0.324462922438517, 0.56447134405004, 0.713954983197348,          0.872189526609738, 0.966526596905427, 0.584674138925751,          0.834887080030876, 1.22044581333525, 1.25835483053691,          0.779066462317335, 0.987031177772312, 0.943364056194349,          0.943364056194349, 0.513452616263142, 0.68208602871978,          0.636573036587929, 0.315823950773482, 0.38523327442887,          0.752077094160308, 0.285366785950761), PROX_CHAS = c(0.0558741615176373,          0.141339892509329, 0.15014885052256, 0.0940735950578242,          0.256579842259861, 0.169910439255117, 0.143086854941205,          0.252393584019624, 0.21461630683628, 0.0405139203460024,          0.371562543403755, 0.201852081003395, 0.201852081003395,          0.180097972613039, 0.185272865297861, 0.208534953207918,          0.0731998871787336, 0.188692357663819, 0.111194343620761,          0.0737889624358689), PROX_SUPERMARKET = c(0.173430033183904,          0.360911693423373, 0.519047869620273, 0.469210677159174,          0.27867057765081, 0.26407208892283, 0.318319510093507,          0.321431524942613, 0.227231659318009, 0.0588346413192393,          0.176585087131714, 0.115543350477338, 0.115543350477338,          0.397689630461078, 0.544212695479659, 0.496000676868079,          0.266280670019211, 0.267150206458008, 0.370675298005651,          0.177322353300672), WITHIN_350M_KINDERGARTEN = c(1L,          0L, 2L, 2L, 1L, 2L, 2L, 0L, 0L, 4L, 0L, 4L, 4L, 4L, 1L,          1L, 3L, 4L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 5L,          4L, 4L, 4L, 3L, 1L, 2L, 2L, 4L, 1L, 3L, 3L, 7L, 4L, 4L,          5L, 5L, 3L, 7L), WITHIN_350M_BUS = c(7L, 9L, 7L, 7L,          8L, 4L, 8L, 6L, 8L, 4L, 5L, 2L, 2L, 8L, 8L, 7L, 10L,          9L, 12L, 9L), WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 4L, 4L,          1L, 4L, 5L, 4L, 2L, 0L, 2L, 2L, 3L, 3L, 3L, 4L, 3L, 3L,          4L), DNeighbour = c(0, 304.953639318502, 534.902363669114,          672.884370632996, 731.945523168191, 897.581246166619,          908.809185142493, 1009.54685912539, 1025.77359006529,          1094.25351056591, 1230.1803100317, 1259.497430968, 1265.06952067256,          1298.75010594053, 1330.0647861818, 1355.55168878222,          1361.70951521646, 1398.00739622333, 1417.27080021649,          1425.10848243593)), row.names = c("957", "269", "114",      "417", "201", "460", "430", "628", "920", "811", "935", "476",      "931", "116", "75", "436", "472", "199", "279", "897"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.91051649319898, 0.738085033566741, 0.603824609172923, 0.542002177283101,      0.363982474301736, 0.352032233307726, 0.248172780878417,      0.232234986646453, 0.168447580362852, 0.0649502828127429,      0.0479234432076024, 0.0449388324405758, 0.0287200696197264,      0.0166246598230578, 0.00906949781996394, 0.00756815258250029,      0.0014191853020968, 0.000120322725181998, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       21026138788 
R squared (OOB):                  0.05342992 

$Forests[[958]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(505000, 535888, 510000,      489000, 515000, 510000, 4e+05, 430000, 460000, 525000, 403000,      530000, 440000, 495000, 545000, 535000, 485000, 460000, 437000,      398000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 92,      92, 97, 92, 95, 93, 93, 93, 93, 93, 93, 93, 93), storey_order = c(4L,      3L, 3L, 2L, 2L, 3L, 1L, 1L, 2L, 3L, 1L, 4L, 2L, 5L, 5L, 4L,      2L, 3L, 2L, 1L), remaining_lease_mths = c(1136, 1148, 1141,      1137, 1138, 1136, 1131, 1128, 1137, 1098, 1138, 1106, 1142,      1080, 1127, 1118, 1147, 1138, 1076, 1077), PROX_CBD = c(14.6520289820308,      14.6520289820308, 14.6372730844548, 14.4453014943547, 14.4453014943547,      14.0250110126613, 13.9748767742628, 13.983033341901, 13.9481332653994,      14.3488328635023, 13.9348601041022, 14.4087790426081, 13.9713915856932,      14.2035293519974, 13.8964286142315, 13.8964286142315, 13.9293604468603,      13.8880322509317, 14.2040057462849, 14.2040057462849), PROX_ELDERLYCARE = c(0.613695690312218,      0.613695690312218, 0.618556221806735, 0.431976777822193,      0.431976777822193, 0.0392522324995346, 0.0869602171534455,      0.0819455196406728, 0.108372417523696, 0.805205193908325,      0.122633260073778, 0.87860471100088, 0.226595382415433, 0.685279068417721,      0.28821019895416, 0.28821019895416, 0.234065981952779, 0.250782943854859,      0.732225931930739, 0.732225931930739), PROX_HAWKER = c(0.451492926165754,      0.451492926165754, 0.372997368954845, 0.391270554493315,      0.391270554493315, 0.732915378457501, 0.759405218095962,      0.818439961244233, 0.783686601130967, 0.28631929470226, 0.848294615942255,      0.295591155505828, 0.954180271331751, 0.384064154962602,      0.700607063348248, 0.700607063348248, 0.970053791291438,      0.989318285046145, 0.429643877236979, 0.429643877236979),          PROX_MRT = c(0.194501865291986, 0.194501865291986, 0.272003951573521,          0.309279527401184, 0.309279527401184, 0.179377644983316,          0.16215489673441, 0.0961191462833423, 0.146013494832411,          0.320519516131068, 0.066674836544346, 0.258499173090988,          0.128817306959056, 0.289240493397468, 0.214342865325431,          0.214342865325431, 0.101292979723356, 0.0905698875540676,          0.339881548667158, 0.339881548667158), PROX_PARK = c(0.365417477470037,          0.365417477470037, 0.308864268906528, 0.463863624631307,          0.463863624631307, 0.898948825756494, 0.93793434477989,          0.973290645087517, 0.964943529987853, 0.585388118838944,          1.01289159319472, 0.572778275466331, 1.07610116952693,          0.69423802629866, 0.945155408432775, 0.945155408432775,          1.10248671215858, 1.13098813526459, 0.735378016798131,          0.735378016798131), PROX_GOOD_PRISCH = c(5.11305585404091,          5.11305585404091, 5.11658251455146, 4.92565705183443,          4.92565705183443, 4.48326906164864, 4.4381077472328,          4.42376284483209, 4.41058426346667, 4.99658730632735,          4.3780728039611, 5.07040230577432, 4.37541592083903,          4.84858590291698, 4.42474408393319, 4.42474408393319,          4.33684280477295, 4.29841605508598, 4.87692111553996,          4.87692111553996), PROX_MALL = c(0.462374515344904, 0.462374515344904,          0.415222463814875, 0.259948531881284, 0.259948531881284,          0.387952579177684, 0.408666125180857, 0.475935346664486,          0.431747484707969, 0.415696526053807, 0.500682206465503,          0.48422641650143, 0.625072347077181, 0.37351280301214,          0.36232957329041, 0.36232957329041, 0.634323955575517,          0.648384322611893, 0.458083927679449, 0.458083927679449         ), PROX_CHAS = c(0.131494587645238, 0.131494587645238,          0.210026666936211, 0.259948576333881, 0.259948576333881,          0.116095717847762, 0.0955424375353944, 0.0483941894268844,          0.0812590805558053, 0.232702657922268, 3.70448785353559e-08,          0.263312743704905, 0.0752462089475253, 0.170907589664044,          0.190952462752685, 0.190952462752685, 0.0456516508281062,          0.0495611607390083, 0.0920652608940773, 0.0920652608940773         ), PROX_SUPERMARKET = c(0.133013806318261, 0.133013806318261,          0.207346349364418, 0.257218468152336, 0.257218468152336,          0.21237786594893, 0.205979542456043, 0.123899374628808,          0.194128300134642, 0.232703172737007, 0.112910168339451,          0.263313051629592, 0.0752464841458058, 0.170908382081647,          0.190953240917096, 0.190953240917096, 0.04565204632056,          0.0495614942866338, 0.0920659899308881, 0.0920659899308881         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 1L, 2L,          2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L, 4L, 4L, 5L,          4L, 4L, 3L, 6L, 5L, 6L, 5L, 5L, 4L, 4L, 4L, 3L, 5L, 5L         ), WITHIN_350M_BUS = c(6L, 6L, 4L, 6L, 6L, 9L, 6L, 11L,          7L, 9L, 11L, 10L, 11L, 9L, 9L, 9L, 11L, 11L, 9L, 9L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L,          4L, 6L, 4L, 5L, 4L, 5L, 5L, 5L, 4L, 4L, 5L, 5L), DNeighbour = c(0,          1.84430219874641, 81.1639555726594, 216.157858999723,          216.386793962571, 629.188192491663, 679.63336511691,          692.519526512022, 712.989834609201, 714.512966067772,          731.844509076117, 743.352910848596, 751.367130603723,          758.836184183165, 773.026164966062, 777.324215615856,          788.20665238796, 819.451265930038, 829.273706265138,          831.638824531093)), row.names = c("958", "284", "846",      "50", "855", "8", "690", "710", "34", "363", "356", "969",      "361", "66", "442", "760", "21", "662", "911", "448"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999990163885311, 0.981041076981569, 0.869449312137917,      0.869182323767663, 0.18285078738554, 0.110322661406595, 0.0939930866251122,      0.0702161873499064, 0.0685599995314984, 0.0508931222797164,      0.0404203776403233, 0.0337559961895463, 0.0280290859735042,      0.0184932221702004, 0.0159656434379281, 0.0103474003220933,      0.000846517521987521, 3.22596925541735e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1888005412 
R squared (OOB):                  0.1971034 

$Forests[[959]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(350000, 370000, 325000,      310000, 295000, 320000, 343000, 390000, 345000, 345000, 370000,      325000, 380000, 380000, 420000, 420000, 385000, 345000, 323000,      415000), floor_area_sqm = c(104, 103, 104, 104, 105, 106,      102, 126, 104, 103, 93, 90, 93, 93, 93, 92, 104, 102, 104,      104), storey_order = c(2L, 4L, 1L, 1L, 1L, 1L, 5L, 2L, 4L,      5L, 1L, 4L, 1L, 1L, 3L, 6L, 1L, 2L, 3L, 2L), remaining_lease_mths = c(863,      881, 872, 879, 870, 851, 935, 879, 862, 944, 1139, 912, 1142,      1138, 1139, 1104, 863, 935, 956, 875), PROX_CBD = c(15.9139497277605,      15.9139497277605, 15.9652370890998, 15.9652370890998, 16.027241877126,      15.9983120826665, 15.6558233565228, 16.1769042321823, 16.2035530975804,      15.6615925135045, 15.8422849591204, 16.3759795802925, 15.6174435761395,      15.9652529785268, 15.9652529785268, 16.0058570800758, 16.2492480828887,      16.0814208174046, 16.3822081442679, 15.8781143296649), PROX_ELDERLYCARE = c(0.471057675436291,      0.471057675436291, 0.372962984236141, 0.372962984236141,      0.401697186037664, 0.541237256511776, 0.268146833149962,      0.382017171357745, 0.462412199513001, 0.372854461013726,      0.241353796602158, 0.437652472603004, 0.457575537702088,      0.120425003900544, 0.120425003900544, 0.0922651494707867,      0.836071823435323, 0.129424766752979, 0.317064501792404,      0.633288957745621), PROX_HAWKER = c(2.34701070601947, 2.34701070601947,      2.45115541279444, 2.45115541279444, 2.44772974464855, 2.1818192257633,      2.27183532495414, 2.55739022352562, 2.51024920878341, 2.39243139523594,      2.37354129025836, 2.71828200917597, 2.21004723991438, 2.36922200206298,      2.36922200206298, 2.393526972262, 2.17952287051713, 2.40830007300065,      2.76474077583521, 1.79301822351461), PROX_MRT = c(0.424613907535265,      0.424613907535265, 0.52727924180445, 0.52727924180445, 0.538616250543522,      0.364450998520493, 0.370313443989706, 0.674610535324426,      0.65447898159524, 0.499275570100955, 0.721786411333246, 0.870089952652958,      0.70935210619912, 0.886101680623091, 0.886101680623091, 0.910164710677637,      0.290093838525113, 1.00126993569874, 1.02897813643603, 0.159697283923578     ), PROX_PARK = c(1.30337713627377, 1.30337713627377, 1.39203600576681,      1.39203600576681, 1.35146177086674, 1.05372411430502, 1.16446299803307,      1.39748820590438, 1.32632916723033, 1.19384102986047, 1.42084473696832,      1.49155883505512, 1.21748666352844, 1.58077599563476, 1.58077599563476,      1.6216647961598, 0.886796559947336, 1.7154732425778, 1.73717122008599,      0.678969217742802), PROX_GOOD_PRISCH = c(5.99275530970335,      5.99275530970335, 6.02718330754398, 6.02718330754398, 6.09534233388474,      6.12314921566155, 5.73062396037349, 6.23706483495109, 6.27623366830878,      5.71328270316738, 5.8611108446886, 6.4246273009838, 5.63578467655705,      5.96493131981452, 5.96493131981452, 6.00411547246196, 6.4097782056775,      6.0710937852797, 6.39421933734494, 6.09357654169244), PROX_MALL = c(0.338688619983659,      0.338688619983659, 0.238316612740974, 0.238316612740974,      0.275346491924215, 0.45623102577182, 0.155488337640192, 0.292722816398213,      0.370949542105629, 0.238209845871265, 0.177442774283774,      0.409369768138594, 0.401390812484646, 0.18546430077947, 0.18546430077947,      0.187934498474296, 0.355568776497803, 0.261655001598387,      0.374078152135628, 0.145699923430919), PROX_CHAS = c(0.338688583692834,      0.338688583692834, 0.238316573509266, 0.238316573509266,      0.275346446899555, 0.290215734280461, 0.155488306171375,      0.292722768811081, 0.370949494121523, 0.238209795937414,      0.177442804982894, 0.409369730284335, 0.187858028295528,      0.185464348558652, 0.185464348558652, 0.187934543511456,      0.121251060497272, 0.26165503944411, 0.374078140160073, 0.0723222156351423     ), PROX_SUPERMARKET = c(0.112474666082431, 0.112474666082431,      0.177610526119132, 0.177610526119132, 0.141316208924405,      0.162067612034701, 0.152010752053411, 0.254565333705719,      0.235998227482853, 0.238833101010687, 0.197153631350279,      0.389543937857684, 0.412009517866082, 0.198556813498254,      0.198556813498254, 0.197516435852273, 0.350013224352412,      0.265481412722203, 0.357574924056941, 0.157892159590583),          WITHIN_350M_KINDERGARTEN = c(3L, 3L, 3L, 3L, 3L, 1L,          4L, 5L, 3L, 3L, 2L, 2L, 3L, 1L, 1L, 1L, 0L, 0L, 2L, 0L         ), WITHIN_350M_CHILDCARE = c(9L, 9L, 6L, 6L, 8L, 6L,          8L, 8L, 5L, 5L, 7L, 2L, 3L, 5L, 5L, 5L, 4L, 5L, 1L, 3L         ), WITHIN_350M_BUS = c(15L, 15L, 14L, 14L, 12L, 12L,          14L, 9L, 7L, 16L, 15L, 5L, 15L, 15L, 15L, 14L, 9L, 13L,          9L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L, 3L, 3L, 3L, 3L,          3L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 3L         ), DNeighbour = c(0, 3.79450430143454, 104.240001251728,          104.851906627164, 124.539022265148, 253.380873902825,          270.975123583499, 271.918448539409, 287.982141983026,          306.333020678748, 386.525625448187, 477.552502739622,          491.575770299548, 505.457228977818, 514.09526087658,          520.479481072422, 556.084924522587, 599.360570788443,          608.028247820762, 633.658659444422)), row.names = c("959",      "927", "566", "490", "463", "888", "450", "54", "806", "572",      "585", "974", "766", "913", "137", "154", "711", "890", "173",      "510"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999928283091626,      0.946608572803392, 0.945988625416515, 0.92423647596519, 0.705775156754876,      0.66769756075702, 0.665614767859892, 0.629566549712996, 0.587200708046002,      0.394273296120577, 0.186643021683615, 0.158543370458447,      0.132281790331935, 0.116807996610901, 0.10583447586818, 0.0528341408412596,      0.0110932305801146, 0.00628223052544827, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1389580516 
R squared (OOB):                  -0.02091279 

$Forests[[960]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(360000, 365000, 446000,      308000, 304000, 316000, 358888, 370000, 355000, 330000, 390000,      340000, 420000, 315000, 360000, 370000, 415000, 365000, 345000,      335000), floor_area_sqm = c(103, 107, 107, 84, 104, 104,      91, 104, 103, 103, 104, 104, 99, 84, 99, 98, 100, 103, 92,      90), storey_order = c(1L, 1L, 3L, 1L, 2L, 1L, 3L, 2L, 3L,      2L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 4L, 2L, 1L), remaining_lease_mths = c(777,      766, 783, 795, 776, 777, 763, 763, 793, 800, 763, 772, 929,      788, 796, 767, 944, 768, 742, 731), PROX_CBD = c(13.7231688188033,      13.578535689825, 13.1163383572019, 13.3304860768802, 13.8730731524118,      13.8730731524118, 13.6826822978472, 13.075732494377, 13.46147060752,      13.46147060752, 13.1145091682395, 13.1145091682395, 13.2222340992065,      13.0463978034086, 13.8977069202737, 12.6407298816561, 13.1525533734461,      12.6612960596841, 13.8901285505698, 13.8901285505698), PROX_ELDERLYCARE = c(0.681177733621966,      0.535215785060316, 0.258125844069092, 0.85382998667073, 0.192118066579221,      0.192118066579221, 0.000158780971194199, 0.206309775801723,      1.01995663096129, 1.01995663096129, 0.233566729538939, 0.233566729538939,      0.385934705647939, 0.612412426395362, 1.56746404607568, 0.198383641986835,      0.640770029240432, 0.349885373003571, 0.540311266279695,      0.540311266279695), PROX_HAWKER = c(0.601426993813282, 0.775756145922257,      1.23349193679857, 1.09459947163448, 0.635045114374877, 0.635045114374877,      0.699744847940348, 1.2806114078583, 1.03983060555389, 1.03983060555389,      1.24018164124527, 1.24018164124527, 1.08380419022874, 1.36023111372333,      1.04237506554324, 1.70233840124208, 0.959649545299011, 1.71720286170745,      0.213123049695643, 0.213123049695643), PROX_MRT = c(0.498221170198522,      0.357978123578611, 0.166998983475289, 0.525688124362732,      0.865482366580506, 0.865482366580506, 0.751023886560838,      0.218393806785847, 0.367668143276235, 0.367668143276235,      0.402767024758649, 0.402767024758649, 0.503688459146237,      0.622051877914657, 0.300373388684648, 0.712674611555213,      0.944408516927639, 0.798149237832703, 0.793013171832836,      0.793013171832836), PROX_PARK = c(1.26781451063295, 1.33984402369384,      1.28385310080255, 0.620743454357064, 1.73324375775577, 1.73324375775577,      1.77145949687945, 1.31516124688894, 0.582693033366388, 0.582693033366388,      1.4917670023494, 1.4917670023494, 1.61082819122054, 0.572775970192077,      0.782220037546154, 0.87239282209614, 1.65277848527316, 0.722272593032778,      1.23128896715218, 1.23128896715218), PROX_GOOD_PRISCH = c(3.673854441535,      3.55013641033528, 3.10133739012884, 3.24954726475941, 3.76914808697313,      3.76914808697313, 3.58938982364218, 3.06740437701091, 3.38131302543864,      3.38131302543864, 3.15473759747012, 3.15473759747012, 3.2388029474634,      2.96540091825049, 3.83525569342672, 2.56532775368338, 2.95137840528657,      2.58047246486208, 3.56420611596829, 3.56420611596829), PROX_MALL = c(0.406890039239853,      0.305514521023982, 0.281310431650798, 0.513372166694422,      0.861712986146148, 0.861712986146148, 0.770100764029299,      0.332903613799786, 0.644549177151603, 0.644549177151603,      0.504156272689578, 0.504156272689578, 0.587950861513872,      0.587476612974174, 1.14150204308926, 0.751522975449472, 0.703422933264244,      0.817237002784756, 1.05377974643614, 1.05377974643614), PROX_CHAS = c(0.176857487498571,      0.282171570268124, 0.155371621529032, 0.472814153962233,      0.0967538959757692, 0.0967538959757692, 0.110149755252424,      0.122328851042638, 0.348399033159575, 0.348399033159575,      0.11048408202451, 0.11048408202451, 0.151225190585885, 0.40513819943783,      0.162936326565904, 0.217156748290024, 0.1365287941905, 0.248450831201433,      0.0812638133573676, 0.0812638133573676), PROX_SUPERMARKET = c(0.270532795629183,      0.281417393052806, 0.141466460051892, 0.510727353781082,      0.094684564379848, 0.094684564379848, 0.11210687568128, 0.193246634773484,      0.356146193343619, 0.356146193343619, 0.362446168440829,      0.362446168440829, 0.459946280432931, 0.599997973636583,      0.162936951836525, 0.217156859083098, 0.688592108834651,      0.326739034058403, 0.082811926566736, 0.082811926566736),          WITHIN_350M_KINDERGARTEN = c(0L, 1L, 0L, 1L, 2L, 2L,          2L, 0L, 1L, 1L, 0L, 0L, 0L, 2L, 0L, 2L, 0L, 2L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L, 3L, 3L,          3L, 4L, 3L, 3L, 6L, 6L, 5L, 2L, 4L, 4L, 2L, 3L, 4L, 4L         ), WITHIN_350M_BUS = c(8L, 10L, 9L, 5L, 8L, 8L, 9L, 10L,          6L, 6L, 7L, 7L, 8L, 7L, 5L, 10L, 6L, 12L, 4L, 4L), WITHIN_1KM_PRISCH = c(3L,          4L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 3L,          3L, 2L, 3L, 4L, 4L), DNeighbour = c(0, 210.394169544825,          631.954467212673, 659.826789009289, 673.836633627044,          677.763487118893, 683.896991419595, 685.372225672743,          695.003295839499, 697.159681688102, 758.856795329012,          761.033144945919, 765.52556929487, 863.159463657228,          1018.56524489238, 1135.10855155597, 1174.53036700493,          1176.7491177923, 1188.28267915461, 1190.05193492356)), row.names = c("960",      "856", "105", "61", "36", "230", "1000", "929", "332", "526",      "164", "844", "350", "987", "479", "477", "496", "552", "214",      "90"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.938464634519455,      0.515532729025223, 0.479671037156247, 0.461570428701378,      0.456492219517057, 0.448558206814481, 0.446649695638255,      0.43419042424695, 0.431401377938526, 0.352100836333355, 0.349334423921681,      0.343633694782993, 0.224601943924215, 0.0715217395013358,      0.00813716284822863, 0.000671608817671768, 0.000494250469369377,      8.82802378766688e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1404531803 
R squared (OOB):                  0.01515216 

$Forests[[961]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(412000, 390000, 380000,      390000, 350000, 390000, 380000, 377000, 350000, 395000, 350000,      368888, 340000, 375000, 420000, 385000, 350000, 368000, 4e+05,      4e+05), floor_area_sqm = c(92, 92, 93, 92, 92, 93, 92, 92,      93, 93, 92, 92, 92, 92, 92, 92, 104, 92, 92, 92), storey_order = c(3L,      4L, 3L, 2L, 1L, 3L, 2L, 2L, 1L, 4L, 1L, 2L, 2L, 1L, 4L, 3L,      3L, 2L, 3L, 4L), remaining_lease_mths = c(1128, 1142, 1110,      1128, 1131, 1113, 1142, 1135, 1111, 1108, 1111, 1102, 1133,      1139, 1133, 1132, 812, 1100, 1136, 1142), PROX_CBD = c(14.5596883563906,      14.5596883563906, 14.607628567626, 14.5136499050456, 14.6346875310408,      14.6879879340018, 14.4940333615496, 14.5662038835035, 14.6221320584002,      14.6649260398624, 14.8482953663728, 14.8482953663728, 14.8395197777251,      14.8395197777251, 14.7615340778399, 14.9536689261967, 14.8739209120931,      14.9752079088984, 14.7935232496013, 14.8350589102573), PROX_ELDERLYCARE = c(0.399519357429504,      0.399519357429504, 0.363539264939185, 0.440212280139716,      0.318998242024868, 0.267910637295867, 0.500918112427577,      0.396119369193007, 0.410896008057539, 0.374463671675583,      0.157028625587627, 0.157028625587627, 0.143171284390361,      0.143171284390361, 0.301679225956583, 1.13414610370389e-06,      0.224374856243457, 0.199763345782594, 0.348662381557687,      0.366071958673004), PROX_HAWKER = c(0.625641729464286, 0.625641729464286,      0.571839614015762, 0.681591249319273, 0.567748890704442,      0.507741768149319, 0.682637638745144, 0.661743266121302,      0.55845452984231, 0.515424723672587, 0.332945546865787, 0.332945546865787,      0.426817039061835, 0.426817039061835, 0.582527401679673,      0.283688306330561, 0.490895901627697, 0.202333554334061,      0.61938764744993, 0.625406547060166), PROX_MRT = c(1.46473462254762,      1.46473462254762, 1.42703012637354, 1.51230084146916, 1.53691575721219,      1.51619569366002, 1.32800225952209, 1.61118001364451, 1.30119397664661,      1.31347134818138, 1.41585626072206, 1.41585626072206, 1.58589972239689,      1.58589972239689, 1.75082728996661, 1.45204946878565, 1.67344316225132,      1.27457972333389, 1.80023823132094, 1.81204065654847), PROX_PARK = c(0.656743209310805,      0.656743209310805, 0.592644125813336, 0.723946747094916,      0.633519966923, 0.573128508978659, 0.65941869562705, 0.741043428920938,      0.524601749565547, 0.48594234877488, 0.40224168015695, 0.40224168015695,      0.573834160005083, 0.573834160005083, 0.739209778966795,      0.447466290733612, 0.671840643384197, 0.259935562114549,      0.794674698621811, 0.813480610745631), PROX_GOOD_PRISCH = c(5.25302892838613,      5.25302892838613, 5.28617698570013, 5.22451833965112, 5.34297669438126,      5.38500296681299, 5.15263130971644, 5.30307595814772, 5.26427170666348,      5.30673314037113, 5.51627049340211, 5.51627049340211, 5.56483468018996,      5.56483468018996, 5.53447364393692, 5.64958645026222, 5.63420261242257,      5.6171537261999, 5.58881641790013, 5.6396253746677), PROX_MALL = c(0.550646738699849,      0.550646738699849, 0.523782484457491, 0.591658790399046,      0.633302242537752, 0.626246838364162, 0.407798057490129,      0.69438942428714, 0.412850725186958, 0.439421746266814, 0.649229394533883,      0.649229394533883, 0.805396060532061, 0.805396060532061,      0.897398400321744, 0.806257336881612, 0.927972955155417,      0.689421511186311, 0.980189305249844, 1.03026167893405),          PROX_CHAS = c(0.19650938121062, 0.19650938121062, 0.198893245072118,          0.179710137259641, 0.120955806912261, 0.160113448728027,          0.0559452214520875, 0.0799578054615725, 0.0938393111767789,          0.0969357032130768, 0.274130336331615, 0.274130336331615,          0.204546662914522, 0.204546662914522, 0.166975848000366,          0.14456617920399, 0.25243947150411, 0.230775629929228,          0.244316778428722, 0.298721071991625), PROX_SUPERMARKET = c(0.27843134046436,          0.27843134046436, 0.223766299699327, 0.343491998264143,          0.327836032489634, 0.300165340388346, 0.202112654374605,          0.41943325951703, 0.0938384818523742, 0.0969351949685631,          0.296829834724774, 0.296829834724774, 0.280088374069707,          0.280088374069707, 0.408349928269047, 0.16127040484797,          0.298947211163532, 0.264202614673064, 0.416104879739584,          0.402632437071234), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          4L, 4L, 6L, 6L, 4L, 3L, 6L, 6L, 5L, 5L, 5L, 5L, 3L, 7L,          3L, 4L, 2L, 2L), WITHIN_350M_BUS = c(7L, 7L, 7L, 6L,          8L, 7L, 9L, 6L, 9L, 8L, 9L, 9L, 5L, 5L, 4L, 6L, 6L, 9L,          6L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L,          3L, 3L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L         ), DNeighbour = c(0, 4.91870568460857, 69.8254105493848,          73.6531537361403, 96.091679937876, 134.570493413636,          138.2646161367, 149.703582544751, 183.648214345319, 202.304553890689,          291.762502714062, 292.002302151024, 322.600585145346,          324.517908626868, 362.009389267737, 407.192237843838,          420.318615106526, 441.134484425182, 443.863991191502,          493.112510902302)), row.names = c("961", "163", "452",      "706", "583", "469", "702", "368", "324", "17", "762", "195",      "543", "152", "620", "139", "602", "558", "478", "27"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999801016062287, 0.960300140669642, 0.955878631876988,      0.925495171444953, 0.856597435012927, 0.848942097687528,      0.824161953128779, 0.741834985330156, 0.691702225310706,      0.422396416669966, 0.421648433645198, 0.327190212063076,      0.321378876916471, 0.212568074341826, 0.101201347165239,      0.0747751775945092, 0.0398821815759946, 0.036013031133796,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       473832301 
R squared (OOB):                  0.04561463 

$Forests[[962]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(508000, 530000, 588000,      565000, 568000, 550000, 613000, 350000, 310000, 415000, 310000,      370000, 323000, 315000, 370000, 4e+05, 370000, 415000, 320000,      315000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 92, 108,      84, 93, 105, 104, 104, 84, 92, 96, 92, 92, 105, 104), storey_order = c(1L,      2L, 2L, 5L, 4L, 2L, 4L, 1L, 2L, 4L, 3L, 4L, 2L, 3L, 1L, 2L,      1L, 5L, 3L, 1L), remaining_lease_mths = c(1121, 1108, 1119,      1117, 1117, 1124, 1119, 809, 811, 1141, 827, 805, 806, 804,      1090, 1098, 1146, 1144, 815, 807), PROX_CBD = c(15.4653265021947,      15.4274201584828, 15.4444506298565, 15.5121102277751, 15.3987887594526,      15.4589251607201, 15.4589251607201, 15.5495667695359, 15.7493840144196,      15.719551353229, 15.6029325535915, 15.7683454047388, 15.5926635355646,      15.9050437012323, 15.0414874321427, 15.0414874321427, 15.87024444961,      15.9533618390172, 15.4421704385289, 15.3877172812078), PROX_ELDERLYCARE = c(0.595913887497293,      0.637452860447804, 0.64097589351183, 0.536539272984936, 0.578356799737993,      0.68815946921851, 0.68815946921851, 0.619297318170404, 0.392042381698264,      0.251997184681221, 0.338118814836049, 0.584689505447093,      0.348154483747206, 0.346730428331521, 0.180026828914976,      0.180026828914976, 0.10693627682917, 0.251148223850536, 0.497101135842809,      0.4433955665635), PROX_HAWKER = c(0.380307090885425, 0.365463704587155,      0.396657168515828, 0.396815374523363, 0.294909248784724,      0.469966667540803, 0.469966667540803, 0.5213921544653, 0.617009737136425,      0.543607139892928, 0.432858942767381, 0.791474322012874,      0.438799857473275, 0.79668564149145, 0.135868389364205, 0.135868389364205,      0.694651515851724, 0.802087399746937, 0.380223054122965,      0.342886316384117), PROX_MRT = c(0.848209897671344, 0.843485398790606,      0.812282865657068, 0.8698145169005, 0.921278705332003, 0.729135125223405,      0.729135125223405, 0.711232187253978, 0.825478596695925,      1.04322565796881, 1.13678031777592, 0.523772975672589, 1.20427337027458,      0.750476153315833, 1.27219969611937, 1.27219969611937, 1.09555222562317,      0.8851452059773, 1.36083949137777, 1.37085724211185), PROX_PARK = c(0.321827820326955,      0.308677700833154, 0.279663832574521, 0.357009242210065,      0.283836897691409, 0.194645215248471, 0.194645215248471,      0.20876400491182, 0.423881452963658, 0.60075194434184, 0.578149656320062,      0.270342199592644, 0.608584573014238, 0.475878847958935,      0.270313948020077, 0.270313948020077, 0.707790886000148,      0.589052524814441, 0.607675278354181, 0.57859629393417),          PROX_GOOD_PRISCH = c(6.04109347904609, 6.00000717285666,          6.01089245018733, 6.0946998605156, 5.98797030068414,          6.00758296280353, 6.00758296280353, 6.09891773314498,          6.32317863359129, 6.34176102939636, 6.24898658848638,          6.2828979894293, 6.25532900137267, 6.45664561130608,          5.69200203864946, 5.69200203864946, 6.49806658702102,          6.52939634907869, 6.14472917023144, 6.09187968106835),          PROX_MALL = c(0.62067023459119, 0.657665812567692, 0.640411632029909,          0.577683661914992, 0.692287086677849, 0.632880647427991,          0.632880647427991, 0.541358966367059, 0.340817581482914,          0.460595397283409, 0.60644342729779, 0.400271919676516,          0.657431321444681, 0.18299798168314, 0.767711199656331,          0.767711199656331, 0.388975340293238, 0.161178852361569,          0.860369947035052, 0.900250825960545), PROX_CHAS = c(0.114224376246159,          0.0964991818226865, 0.128062594375949, 0.14804241676277,          0.0335692412129841, 0.206736748098593, 0.206736748098593,          0.252209440491103, 0.347229964463676, 0.269388612247007,          0.336408570757183, 0.406778788965278, 0.337342861051532,          0.190026772642962, 0.163757574589084, 0.163757574589084,          0.140210421841136, 0.165813590617473, 0.200516789487464,          0.147116034863504), PROX_SUPERMARKET = c(0.284849629955282,          0.324468805261885, 0.312290330939399, 0.237787830949247,          0.352133387221186, 0.327859325274294, 0.327859325274294,          0.243797536441002, 2.98731019421495e-07, 0.219989756424723,          0.338214025323699, 0.30290594542381, 0.403551045123396,          0.179336240856332, 0.197268674737732, 0.197268674737732,          0.287679129281494, 0.162291812321236, 0.291068212048821,          0.236697160290918), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L,          0L, 1L, 0L, 2L, 1L), WITHIN_350M_CHILDCARE = c(1L, 2L,          1L, 2L, 1L, 2L, 2L, 1L, 5L, 5L, 4L, 5L, 4L, 4L, 4L, 4L,          4L, 3L, 6L, 4L), WITHIN_350M_BUS = c(7L, 7L, 7L, 6L,          6L, 7L, 7L, 6L, 7L, 5L, 6L, 8L, 6L, 8L, 9L, 9L, 8L, 8L,          9L, 7L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L,          4L, 5L, 6L, 3L, 4L, 7L, 2L, 6L, 3L, 3L, 4L, 5L, 3L, 3L         ), DNeighbour = c(0, 39.7980542793935, 45.3597148739541,          62.0266584971097, 85.9143666986003, 125.99939701159,          130.660290421474, 150.64227559147, 293.341415955527,          349.741979129481, 353.785709553531, 409.3660219618, 412.505317951539,          452.52378390943, 489.100532676887, 492.331019168829,          493.741666769497, 497.167111785015, 518.510582309012,          527.115214766201)), row.names = c("962", "712", "574",      "605", "714", "963", "455", "236", "956", "698", "924", "262",      "458", "59", "793", "632", "582", "124", "586", "895"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.988631505460623, 0.985244682884473, 0.972498369834883,      0.947574429501165, 0.888988553846755, 0.880888253761934,      0.843323054941104, 0.476519545516384, 0.313337019340506,      0.301979121998888, 0.157504087883479, 0.150219749052332,      0.0691652259191085, 0.0193309126764725, 0.0162880979690398,      0.0150353060522932, 0.0121886550518339, 0.00104856418466023,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6766066312 
R squared (OOB):                  0.4237871 

$Forests[[963]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(550000, 613000, 588000,      350000, 530000, 508000, 565000, 568000, 310000, 370000, 415000,      315000, 310000, 415000, 323000, 365000, 370000, 395000, 4e+05,      370000), floor_area_sqm = c(92, 92, 92, 108, 92, 92, 92,      92, 84, 104, 93, 84, 105, 92, 104, 92, 92, 92, 96, 92), storey_order = c(2L,      4L, 2L, 1L, 2L, 1L, 5L, 4L, 2L, 4L, 4L, 3L, 3L, 5L, 2L, 1L,      1L, 2L, 2L, 1L), remaining_lease_mths = c(1124, 1119, 1119,      809, 1108, 1121, 1117, 1117, 811, 805, 1141, 804, 827, 1144,      806, 1137, 1090, 1146, 1098, 1146), PROX_CBD = c(15.4589251607201,      15.4589251607201, 15.4444506298565, 15.5495667695359, 15.4274201584828,      15.4653265021947, 15.5121102277751, 15.3987887594526, 15.7493840144196,      15.7683454047388, 15.719551353229, 15.9050437012323, 15.6029325535915,      15.9533618390172, 15.5926635355646, 16.0046521285213, 15.0414874321427,      16.0046521285213, 15.0414874321427, 15.87024444961), PROX_ELDERLYCARE = c(0.68815946921851,      0.68815946921851, 0.64097589351183, 0.619297318170404, 0.637452860447804,      0.595913887497293, 0.536539272984936, 0.578356799737993,      0.392042381698264, 0.584689505447093, 0.251997184681221,      0.346730428331521, 0.338118814836049, 0.251148223850536,      0.348154483747206, 0.20718686492254, 0.180026828914976, 0.20718686492254,      0.180026828914976, 0.10693627682917), PROX_HAWKER = c(0.469966667540803,      0.469966667540803, 0.396657168515828, 0.5213921544653, 0.365463704587155,      0.380307090885425, 0.396815374523363, 0.294909248784724,      0.617009737136425, 0.791474322012874, 0.543607139892928,      0.79668564149145, 0.432858942767381, 0.802087399746937, 0.438799857473275,      0.855932206484513, 0.135868389364205, 0.855932206484513,      0.135868389364205, 0.694651515851724), PROX_MRT = c(0.729135125223405,      0.729135125223405, 0.812282865657068, 0.711232187253978,      0.843485398790606, 0.848209897671344, 0.8698145169005, 0.921278705332003,      0.825478596695925, 0.523772975672589, 1.04322565796881, 0.750476153315833,      1.13678031777592, 0.8851452059773, 1.20427337027458, 0.883219311345816,      1.27219969611937, 0.883219311345816, 1.27219969611937, 1.09555222562317     ), PROX_PARK = c(0.194645215248471, 0.194645215248471, 0.279663832574521,      0.20876400491182, 0.308677700833154, 0.321827820326955, 0.357009242210065,      0.283836897691409, 0.423881452963658, 0.270342199592644,      0.60075194434184, 0.475878847958935, 0.578149656320062, 0.589052524814441,      0.608584573014238, 0.619767633008914, 0.270313948020077,      0.619767633008914, 0.270313948020077, 0.707790886000148),          PROX_GOOD_PRISCH = c(6.00758296280353, 6.00758296280353,          6.01089245018733, 6.09891773314498, 6.00000717285666,          6.04109347904609, 6.0946998605156, 5.98797030068414,          6.32317863359129, 6.2828979894293, 6.34176102939636,          6.45664561130608, 6.24898658848638, 6.52939634907869,          6.25532900137267, 6.57618460349959, 5.69200203864946,          6.57618460349959, 5.69200203864946, 6.49806658702102),          PROX_MALL = c(0.632880647427991, 0.632880647427991, 0.640411632029909,          0.541358966367059, 0.657665812567692, 0.62067023459119,          0.577683661914992, 0.692287086677849, 0.340817581482914,          0.400271919676516, 0.460595397283409, 0.18299798168314,          0.60644342729779, 0.161178852361569, 0.657431321444681,          0.110811660449771, 0.767711199656331, 0.110811660449771,          0.767711199656331, 0.388975340293238), PROX_CHAS = c(0.206736748098593,          0.206736748098593, 0.128062594375949, 0.252209440491103,          0.0964991818226865, 0.114224376246159, 0.14804241676277,          0.0335692412129841, 0.347229964463676, 0.406778788965278,          0.269388612247007, 0.190026772642962, 0.336408570757183,          0.165813590617473, 0.337342861051532, 0.114687044901222,          0.163757574589084, 0.114687044901222, 0.163757574589084,          0.140210421841136), PROX_SUPERMARKET = c(0.327859325274294,          0.327859325274294, 0.312290330939399, 0.243797536441002,          0.324468805261885, 0.284849629955282, 0.237787830949247,          0.352133387221186, 2.98731019421495e-07, 0.30290594542381,          0.219989756424723, 0.179336240856332, 0.338214025323699,          0.162291812321236, 0.403551045123396, 0.112847248683738,          0.197268674737732, 0.112847248683738, 0.197268674737732,          0.287679129281494), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L,          0L, 0L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(2L, 2L,          1L, 1L, 2L, 1L, 2L, 1L, 5L, 5L, 5L, 4L, 4L, 3L, 4L, 3L,          4L, 3L, 4L, 4L), WITHIN_350M_BUS = c(7L, 7L, 7L, 6L,          7L, 7L, 6L, 6L, 7L, 8L, 5L, 8L, 6L, 8L, 6L, 7L, 9L, 7L,          9L, 8L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 5L, 4L, 4L,          4L, 4L, 6L, 7L, 3L, 6L, 4L, 5L, 2L, 5L, 3L, 5L, 3L, 4L         ), DNeighbour = c(0, 6.20466670891963, 85.655886754942,          91.8922628864345, 106.832108039099, 125.99939701159,          169.172818564691, 193.512779430068, 326.709584462321,          336.643542000388, 446.555858018126, 450.182107970553,          472.26050657749, 526.081107084414, 534.000480558041,          565.074792753605, 565.192362018951, 566.584828753638,          569.108421992662, 575.071246458613)), row.names = c("963",      "455", "574", "236", "712", "962", "605", "714", "956", "262",      "698", "59", "924", "124", "458", "594", "793", "408", "632",      "582"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999767191771928,      0.956121006282362, 0.949584474231423, 0.932168587821758,      0.906292974687836, 0.834408817586984, 0.786354333846665,      0.458653275833623, 0.432060754688737, 0.157618962973214,      0.149908108218118, 0.106012944409604, 0.0266088165282213,      0.0189713509557973, 0.00118775336678053, 0.00116021833603346,      0.000858287482318099, 0.000425604183591849, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       6495414595 
R squared (OOB):                  0.3939506 

$Forests[[964]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(4e+05, 418000, 380000,      390000, 418000, 350888, 398000, 340000, 735000, 4e+05, 4e+05,      350000, 660000, 680000, 390000, 380000, 465000, 676000, 663000,      655000), floor_area_sqm = c(92, 92, 92, 92, 91, 93, 92, 92,      97, 98, 104, 91, 87, 87, 92, 93, 104, 87, 87, 87), storey_order = c(4L,      4L, 4L, 1L, 5L, 3L, 3L, 1L, 6L, 4L, 2L, 4L, 3L, 6L, 1L, 3L,      3L, 3L, 4L, 5L), remaining_lease_mths = c(690, 691, 695,      711, 774, 712, 714, 699, 1066, 718, 751, 741, 1066, 1076,      685, 724, 760, 1120, 1124, 1121), PROX_CBD = c(9.59976569988281,      9.61422948612377, 9.61422948612377, 9.71066487891121, 9.35032791665702,      9.68679892421183, 9.95525560808738, 9.97016469840266, 9.96973817000633,      9.5915755681771, 9.83498872427818, 8.70456515841861, 10.1126951054664,      10.1126951054664, 10.3184291669162, 9.50206510185676, 8.64488888098128,      9.49727834386093, 9.49727834386093, 9.49727834386093), PROX_ELDERLYCARE = c(0.239547661796275,      0.28812103687201, 0.28812103687201, 0.385358274245319, 0.227789996497476,      0.35495808488012, 0.150508443509651, 0.14040561650552, 0.560133969723593,      0.558000418748021, 0.611336059876525, 0.1203423949077, 0.511544492658224,      0.511544492658224, 0.724299376510179, 0.619429799229152,      0.17844978767297, 0.735218745429302, 0.735218745429302, 0.735218745429302     ), PROX_HAWKER = c(0.436761476721694, 0.398658919868918,      0.398658919868918, 0.39402887106119, 0.508896406641727, 0.221606053969191,      0.153089379504462, 0.15909114400288, 0.246219700947935, 0.434568479089541,      0.54583502916026, 0.867862446497739, 0.268370020499938, 0.268370020499938,      0.285348407142059, 0.518318645141504, 0.917919654697093,      0.639074974233661, 0.639074974233661, 0.639074974233661),          PROX_MRT = c(0.619962862184004, 0.667432439829923, 0.667432439829923,          0.746020760246364, 0.569946398217962, 0.760373725070279,          0.521845664201362, 0.494111782173202, 0.405168801785449,          0.656590823238566, 0.722241727367494, 0.97670571404933,          0.549740095282867, 0.549740095282867, 0.752281430413819,          0.533910829474844, 0.91698472228942, 0.499971219475903,          0.499971219475903, 0.499971219475903), PROX_PARK = c(0.957886982704992,          0.922231693079911, 0.922231693079911, 0.914740437498633,          0.726258134328713, 0.664893225436512, 0.730503149795042,          0.68588072489708, 0.868342722448078, 0.355705093322714,          0.296755194228525, 0.288616932786395, 0.878497256111703,          0.878497256111703, 1.05219739289641, 0.26219477257436,          0.238119977580318, 0.298527066745392, 0.298527066745392,          0.298527066745392), PROX_GOOD_PRISCH = c(2.35345437748376,          2.38715383730665, 2.38715383730665, 2.31351362539819,          2.41566392235711, 2.17803171840573, 2.01039924795066,          1.97396491196204, 1.55873028154778, 2.11809049366399,          1.88657748145099, 2.418607930925, 1.46177539101005, 1.46177539101005,          1.54472866778257, 2.18628235132699, 2.37381492496372,          2.17599822879711, 2.17599822879711, 2.17599822879711),          PROX_MALL = c(0.387669919047214, 0.43353114329251, 0.43353114329251,          0.505770857705003, 0.406203001531397, 0.796976758090547,          0.757457219803541, 0.802483711672914, 0.129560175686973,          1.22478662403239, 1.23747152538927, 0.948870628363287,          0.269774803261538, 0.269774803261538, 0.472532088410597,          1.32833110917602, 1.00281364182829, 1.45007786498113,          1.45007786498113, 1.45007786498113), PROX_CHAS = c(0.263208245292117,          0.28666502826278, 0.28666502826278, 0.255589678637005,          0.146235674893272, 0.0707228333244178, 0.144412947448491,          0.187394625423847, 0.0647243745052949, 0.346218272658546,          0.352730820744124, 0.27140983829104, 0.20472250196774,          0.20472250196774, 0.165961529218061, 0.219477506246216,          0.256340531367836, 0.101351467161616, 0.101351467161616,          0.101351467161616), PROX_SUPERMARKET = c(0.44091986097032,          0.396736556610776, 0.396736556610776, 0.363062686357781,          0.347306649978202, 0.128382981112681, 0.204623167766534,          0.215556112381702, 0.241122798862169, 0.300584979098838,          0.324694852199881, 0.221415122113844, 0.35798039621586,          0.35798039621586, 0.447507928623339, 0.191210069763785,          0.24778575064029, 0.0715849245259307, 0.0715849245259307,          0.0715849245259307), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 1L, 1L, 2L, 2L, 2L, 0L, 2L, 1L, 2L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(4L, 3L,          3L, 2L, 5L, 3L, 3L, 3L, 6L, 5L, 1L, 4L, 6L, 6L, 4L, 6L,          4L, 6L, 6L, 6L), WITHIN_350M_BUS = c(11L, 11L, 11L, 13L,          9L, 10L, 9L, 9L, 7L, 5L, 3L, 9L, 6L, 6L, 7L, 2L, 8L,          4L, 4L, 4L), WITHIN_1KM_PRISCH = c(3L, 4L, 4L, 4L, 3L,          4L, 4L, 4L, 2L, 2L, 3L, 2L, 3L, 3L, 5L, 1L, 2L, 1L, 1L,          1L), DNeighbour = c(0, 45.0697083452042, 49.6596420222695,          154.063538398078, 255.666962431673, 415.070009682327,          458.710986788898, 493.554141952657, 797.850422898272,          833.550261222468, 860.095615447259, 893.26229546133,          897.824066178037, 899.245441562303, 914.073108861762,          938.036452964297, 956.859676973188, 1061.02193476238,          1061.43213597203, 1064.44482239335)), row.names = c("964",      "499", "603", "776", "37", "946", "971", "211", "471", "746",      "659", "71", "506", "316", "97", "539", "487", "593", "466",      "731"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996417685467076,      0.995651715249778, 0.958541792665461, 0.887947541119167,      0.7190132779366, 0.663070511421102, 0.61623678728241, 0.192002329074538,      0.149597713941142, 0.120477897364648, 0.0874826016908784,      0.0832688608762001, 0.081972879096861, 0.0689476809367557,      0.0499109654667329, 0.036836256849422, 4.12288577189424e-05,      3.19515178652957e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       14726187559 
R squared (OOB):                  0.2292742 

$Forests[[965]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(342000, 375000, 390000,      4e+05, 390000, 415000, 395000, 428000, 412000, 390000, 455000,      537000, 518000, 483000, 535000, 495000, 5e+05, 553000, 520000,      425000), floor_area_sqm = c(105, 104, 105, 104, 105, 106,      104, 112, 104, 104, 112, 93, 93, 93, 93, 93, 93, 93, 93,      104), storey_order = c(1L, 1L, 3L, 3L, 3L, 3L, 2L, 1L, 3L,      2L, 1L, 4L, 2L, 2L, 3L, 2L, 3L, 4L, 3L, 3L), remaining_lease_mths = c(904,      919, 911, 903, 921, 919, 905, 892, 891, 906, 896, 1128, 1132,      1129, 1131, 1131, 1131, 1134, 1133, 871), PROX_CBD = c(13.3769343120963,      13.4266027498608, 13.3796709379934, 13.3287778793447, 13.4627621473458,      13.4239402990732, 13.6654936015449, 13.9733994982273, 14.1568072460962,      14.1961571609712, 14.0913802169285, 14.1022978560303, 14.0392008059995,      13.9851487819813, 13.9851487819813, 14.1234549986629, 13.8777465201196,      13.8021184722805, 13.7835124985007, 14.0236082538335), PROX_ELDERLYCARE = c(2.13793612643937,      2.17127601573547, 2.22474645739358, 2.1917657327852, 2.3602438602499,      2.35754914737924, 2.4559089786438, 2.73602573538322, 2.56669577269824,      2.56528175499621, 1.71411655426264, 1.39999761805574, 1.32747908409073,      1.27246652758392, 1.27246652758392, 1.35242241046818, 1.14875617578224,      1.08391670289184, 1.04590518035641, 1.09340394122649), PROX_HAWKER = c(1.83400406292357,      1.79623369603986, 1.93918128958002, 1.97547555130032, 1.98731518790586,      2.04148614266885, 1.8007485076056, 1.72752929984142, 1.398882753411,      1.37564916931309, 0.659732742059419, 0.488105393549706, 0.543253862226502,      0.59565400543288, 0.59565400543288, 0.458626901673037, 0.709523473368326,      0.792084042786722, 0.817574416707151, 0.594999289424802),          PROX_MRT = c(1.58891799000297, 1.55284801629317, 1.69795623670388,          1.73242783606755, 1.75308710953532, 1.80644454579453,          1.57537750219681, 1.52912572857094, 1.21408476422274,          1.19597144129318, 0.410797330392975, 0.255700458734308,          0.327704984287647, 0.390641440388092, 0.390641440388092,          0.250036690549804, 0.526263367583387, 0.615458599020507,          0.648112836468654, 0.469886084443941), PROX_PARK = c(0.736187117229036,          0.713305409065456, 0.863182736105437, 0.88512129863374,          0.956537089868377, 1.00169815399328, 0.850306194456086,          0.916601452818718, 0.574460502508352, 0.541272645896965,          0.524242894978874, 0.52092144022497, 0.547177414231792,          0.580591669210194, 0.580591669210194, 0.469588575534173,          0.548712671125698, 0.476945111703218, 0.438074957540257,          0.504422356794811), PROX_GOOD_PRISCH = c(2.85157742620146,          2.87807351257242, 2.95323290488506, 2.92650083991791,          3.09165556928148, 3.09662994187342, 3.15584859653876,          3.4114102230046, 3.36750863472211, 3.39040053008466,          2.83541955823977, 2.69832814229385, 2.61966269686357,          2.55482099432271, 2.55482099432271, 2.69456588548322,          2.41902859908312, 2.33081910479479, 2.3007469286795,          2.51794344218072), PROX_MALL = c(0.857746498744393, 0.808973697710999,          0.921202261186462, 0.968339604524727, 0.924666219790251,          0.980263777031476, 0.710058429219954, 0.596418817267466,          0.280844166366742, 0.270320025824244, 0.471401908473598,          0.257523814996123, 0.316340524018432, 0.37312896686832,          0.37312896686832, 0.232476208076891, 0.498678106329343,          0.585717052475653, 0.615576551193732, 0.418819234777705         ), PROX_CHAS = c(0.418304503654494, 0.374720545025774,          0.396028378293497, 0.447143544638255, 0.335494764547789,          0.386919516068906, 0.111974276762728, 0.126775582068521,          0.192284580165596, 0.176758267598596, 0.471401941314913,          0.177701329016163, 0.101753514952091, 0.0604900109870272,          0.0604900109870272, 0.147334233235439, 0.133705064347241,          0.221659659627321, 0.253975316505048, 0.151261605672147         ), PROX_SUPERMARKET = c(0.224617478786604, 0.196965153344936,          0.347107460725314, 0.37251565902947, 0.370560193975877,          0.409344743904916, 0.207177695926551, 0.159712105919183,          0.192285941870899, 0.176759883249677, 0.471402360745676,          0.177702101069216, 0.101754383553332, 0.0604908810371704,          0.0604908810371704, 0.147334782275979, 0.133704798830233,          0.221659301316653, 0.253974877653299, 0.151260689076964         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 0L, 0L, 1L, 0L,          1L, 5L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 1L, 1L, 2L, 1L,          3L, 2L, 3L, 4L, 1L, 4L, 4L, 3L, 3L, 4L, 2L, 2L, 2L, 4L         ), WITHIN_350M_BUS = c(5L, 7L, 8L, 6L, 7L, 7L, 12L, 10L,          9L, 9L, 12L, 11L, 10L, 8L, 8L, 13L, 8L, 5L, 6L, 12L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,          3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L), DNeighbour = c(0,          51.3267394187888, 138.686898002121, 154.13745647182,          258.568485700453, 290.246502625431, 326.449660083946,          625.488707109497, 781.722669717407, 827.271594029393,          1175.31167853865, 1464.33377222792, 1476.95198808219,          1481.5352505776, 1484.71984793785, 1518.43800261515,          1524.67924701675, 1541.68417373882, 1574.11207119041,          1682.71498809053)), row.names = c("965", "818", "222",      "949", "155", "38", "302", "119", "933", "555", "352", "815",      "218", "938", "819", "212", "579", "275", "380", "51"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.998140080521544, 0.98646051370587, 0.983289116631026, 0.953333814967256,      0.941381620295321, 0.926143158208169, 0.742748721060713,      0.614944040763588, 0.575020199961793, 0.262299155455911,      0.0589108448329267, 0.0527199435464795, 0.0505437971074831,      0.0490548764869537, 0.0344924512145107, 0.0320459441151405,      0.0257919022575249, 0.0156037909392474, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3690720609 
R squared (OOB):                  0.09947513 

$Forests[[966]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(443000, 447888, 462000,      459000, 445000, 382000, 430000, 425000, 418000, 418000, 345000,      425000, 395000, 318000, 442500, 418888, 358000, 450000, 415000,      390000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 92, 93,      92, 92, 90, 93, 93, 90, 92, 92, 104, 92, 92, 92), storey_order = c(5L,      5L, 5L, 4L, 4L, 1L, 5L, 5L, 3L, 5L, 5L, 4L, 2L, 3L, 6L, 3L,      4L, 4L, 2L, 1L), remaining_lease_mths = c(1134, 1137, 1134,      1138, 1133, 1111, 1137, 1134, 1134, 1142, 937, 1134, 1138,      968, 1138, 1136, 815, 1135, 1132, 1132), PROX_CBD = c(14.1475961545785,      14.1475961545785, 14.1475961545785, 14.1715462602585, 14.1149653809405,      14.29200158436, 14.2919055230493, 14.3486805845321, 14.318757359464,      14.4012043650842, 14.2787185061121, 14.318757359464, 14.318757359464,      14.1338242827509, 14.4158973706441, 14.4158973706441, 14.0960645211931,      14.5310939664424, 14.6122009832922, 14.6424103631698), PROX_ELDERLYCARE = c(2.03155968851809,      2.03155968851809, 2.03155968851809, 2.09595649451453, 2.12564955085825,      2.00367987562091, 2.08663557441472, 2.08279710659019, 2.13920478430288,      1.94149260139439, 1.77826193055387, 2.13920478430288, 2.13920478430288,      2.28550514148655, 1.86115765343828, 1.86115765343828, 1.70531999087377,      1.79186944623163, 1.68824062303628, 1.72557175775889), PROX_HAWKER = c(1.0452124348096,      1.0452124348096, 1.0452124348096, 1.11030496241672, 1.06810792734919,      1.05572120633707, 1.13160866269818, 1.11865892678262, 1.17625726432186,      0.977925494011815, 0.865181709866835, 1.17625726432186, 1.17625726432186,      1.19906286300234, 0.900970586039013, 0.900970586039013, 0.845358517598031,      0.816792492128141, 0.707122679385598, 0.740384095011384),          PROX_MRT = c(0.206896355650083, 0.206896355650083, 0.206896355650083,          0.236487582928319, 0.282489779359316, 0.129588785375857,          0.215635082050947, 0.228370105834555, 0.277525006355607,          0.117672709296806, 0.14195902454703, 0.277525006355607,          0.277525006355607, 0.414064606154384, 0.0830542408041225,          0.0830542408041225, 0.217341234217998, 0.197201307651512,          0.295449456212788, 0.312698200175978), PROX_PARK = c(1.52292224478236,          1.52292224478236, 1.52292224478236, 1.59201213147604,          1.55223981690243, 1.659682039687, 1.71136953372848, 1.76668334590621,          1.77227256709076, 1.73691437359179, 1.51686048726609,          1.77227256709076, 1.77227256709076, 1.68789157401301,          1.70853765465547, 1.70853765465547, 1.27300714898888,          1.79335149216305, 1.76906915549279, 1.78460824921244),          PROX_GOOD_PRISCH = c(5.43570837857945, 5.43570837857945,          5.43570837857945, 5.50129862889456, 5.45814117537329,          5.57470277830303, 5.62322031775431, 5.67955556528646,          5.68167095374807, 5.65284274036128, 5.42826997650874,          5.68167095374807, 5.68167095374807, 5.57754198399205,          5.62289607338158, 5.62289607338158, 5.17863906457975,          5.7030752613132, 5.7298925008129, 5.77937603269072),          PROX_MALL = c(0.329425359540921, 0.329425359540921, 0.329425359540921,          0.405991175981987, 0.377565489031552, 0.462705775504015,          0.517951444315281, 0.571430807201143, 0.582562895872492,          0.544441659044551, 0.338911837083335, 0.582562895872492,          0.582562895872492, 0.547412994688805, 0.475045953779526,          0.475045953779526, 0.243284841315127, 0.466036051693473,          0.426875162675013, 0.482269498416602), PROX_CHAS = c(0.188783823394846,          0.188783823394846, 0.188783823394846, 0.12657377242065,          0.179884741524278, 0.0888572682655253, 3.54155757628082e-08,          0.0590253437170886, 0.0707174365033835, 0.0706873614354785,          0.18872293939054, 0.0707174365033835, 0.0707174365033835,          0.219091723429967, 0.0420419616737589, 0.0420419616737589,          0.132339190026647, 0.162368565956873, 0.270793953405505,          0.280031834846542), PROX_SUPERMARKET = c(0.235757849482592,          0.235757849482592, 0.235757849482592, 0.248308073473709,          0.299769914037237, 0.124391003677116, 0.199383936085002,          0.199153546859355, 0.25307995359875, 0.0706874850207218,          0.188722783027928, 0.25307995359875, 0.25307995359875,          0.41091265647621, 0.0420421510628514, 0.0420421510628514,          0.226949559622758, 0.162368758687164, 0.270794118098451,          0.280032026158491), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L,          1L, 1L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(6L, 6L,          6L, 5L, 6L, 5L, 5L, 4L, 4L, 5L, 6L, 4L, 4L, 3L, 5L, 5L,          7L, 4L, 5L, 3L), WITHIN_350M_BUS = c(6L, 6L, 6L, 5L,          5L, 5L, 4L, 4L, 3L, 6L, 8L, 3L, 3L, 3L, 7L, 7L, 9L, 8L,          6L, 6L), WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L,          3L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 4L, 4L, 5L, 3L, 4L, 3L         ), DNeighbour = c(0, 1.87087927055345, 3.53950695323816,          92.5181614199613, 102.625155460038, 151.109889092016,          192.539019812858, 247.737350750906, 249.873541931738,          250.240446679775, 255.506883570012, 257.608727972687,          258.350902479166, 274.193230837402, 275.532182105706,          277.34294853211, 391.789939399611, 400.29815737297, 506.576573245818,          520.334361926088)), row.names = c("966", "623", "207",      "277", "519", "989", "267", "217", "58", "633", "329", "205",      "840", "120", "33", "100", "880", "609", "489", "323"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999974144454752, 0.999907457660673, 0.937770102160779,      0.923714408140941, 0.83843780082648, 0.744904033961774, 0.598019979471538,      0.591963099506335, 0.590920678116913, 0.57589298853604, 0.56986308512727,      0.567729721103137, 0.521742632279251, 0.517822635790556,      0.512514674521162, 0.187535936240873, 0.166596972577658,      0.00272290693732831, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1045597328 
R squared (OOB):                  0.3152815 

$Forests[[967]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(325000, 4e+05, 335000,      361000, 360000, 328000, 360000, 388000, 333000, 370000, 330000,      395000, 325000, 368000, 408000, 398000, 335000, 4e+05, 345000,      330000), floor_area_sqm = c(85, 103, 84, 84, 103, 84, 104,      100, 84, 98, 84, 101, 84, 100, 100, 100, 93, 104, 91, 84),          storey_order = c(1L, 3L, 2L, 4L, 1L, 4L, 2L, 4L, 3L,          2L, 3L, 4L, 5L, 2L, 4L, 2L, 5L, 2L, 3L, 4L), remaining_lease_mths = c(830,          796, 796, 794, 798, 806, 804, 922, 823, 912, 791, 936,          812, 923, 921, 924, 921, 822, 773, 806), PROX_CBD = c(10.1989356004427,          10.2571858212528, 10.2571858212528, 10.1908965186918,          10.1540744969693, 10.2439629519707, 10.0879656312395,          10.3133134299625, 9.85122377146013, 10.6430674352334,          9.73525531751342, 10.5347600839054, 9.87023127008802,          10.5911430304609, 10.7481925626994, 10.2027088676681,          10.6321305837804, 10.8294299245227, 9.63489497584329,          9.63621863936401), PROX_ELDERLYCARE = c(1.08623091115154,          0.969336561855173, 0.969336561855173, 0.891997547710976,          0.85844301108046, 0.904720646157319, 1.31022889057949,          1.4124150938613, 0.999223533815273, 1.10983952182968,          0.869795033999967, 1.31633228018286, 1.35138892750767,          1.2745451415541, 1.00181077128688, 1.63738856945076,          1.32435226249417, 0.925828280583076, 0.42629854090558,          1.48805339077067), PROX_HAWKER = c(0.368744432216956,          0.543600998034675, 0.543600998034675, 0.594526114354717,          0.614574465644474, 0.616195579705155, 0.196699811405185,          0.0623262564011618, 0.526313717816828, 0.494234864614673,          0.687117415591119, 0.259744380023822, 0.410023469086153,          0.314632743063994, 0.591883114810231, 0.264427923442986,          0.382898898882956, 0.558859907936318, 0.908741650371918,          0.677896697868769), PROX_MRT = c(0.78040997284139, 0.5984056038899,          0.5984056038899, 0.554399001312584, 0.544743966599557,          0.52596302633555, 1.09046737609619, 1.09471398918577,          0.907717901248049, 0.91242151857363, 0.86810604264512,          1.15842683571226, 1.23646610314009, 1.14211364891441,          0.80807654444201, 1.392302848886, 1.20430491709432, 0.633065114071651,          0.669484450879797, 1.32502198166586), PROX_PARK = c(0.808282577864154,          0.690393008756984, 0.690393008756984, 0.61263038213259,          0.578916018382343, 0.626908579085899, 0.604882226694947,          0.826294351272671, 0.510337594738446, 1.09293299728603,          0.452373350223662, 1.00657829367171, 0.375073916060521,          0.997953552798557, 1.13130385684233, 0.728383914708498,          0.852996238213812, 0.822296725898933, 0.197084482081202,          0.202594030185392), PROX_GOOD_PRISCH = c(1.199846441039,          1.38840710840139, 1.38840710840139, 1.40421671412888,          1.40445923276907, 1.44855804010835, 0.87937610392538,          0.993301788551023, 1.05242409875061, 1.4206810513637,          1.15234422615158, 1.12709017589061, 0.706117631385061,          1.15731102426836, 1.51127824976447, 0.689163418131917,          1.09467860924251, 1.88031331185984, 1.59153495480405,          0.53169554186008), PROX_MALL = c(0.663851500718272, 0.638527944164543,          0.638527944164543, 0.685823836221668, 0.685950169481642,          0.644656189163291, 0.441232897113797, 0.450275200033962,          0.756051767526383, 0.220538248250442, 0.907839978504126,          0.464767570965945, 0.445899708163642, 0.441630162720786,          0.114469773448463, 0.12742430838485, 0.512358501951296,          0.43093778326398, 0.873569112263515, 0.564979440463645         ), PROX_CHAS = c(0.0710453772718398, 0.0819899420632749,          0.0819899420632749, 0.151788880767358, 0.170954716034814,          0.155315138624813, 0.177420148260447, 0.071192987667569,          3.39583191183935e-08, 0.0703959269798554, 0.116614388177292,          0.272565000598528, 0.0764125853219005, 0.327465416824022,          0.0793642323922721, 0.127424254451578, 0.394471723674887,          0.0390568763467083, 0.454068185577158, 0.204909081807225         ), PROX_SUPERMARKET = c(0.00115080458448496, 0.123486578338512,          0.123486578338512, 0.152401712794372, 0.171715993026927,          0.18505229065347, 0.320748009942088, 0.330151298165832,          0.350225948243757, 0.220538485726081, 0.458729641056945,          0.464768447350912, 0.158655939798418, 0.441631117888638,          0.114469867006585, 0.129189539659537, 0.447614574279886,          0.430936681100737, 0.717910522287554, 0.145410708854306         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 2L, 2L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 2L, 2L, 2L, 2L, 1L,          5L, 4L, 3L, 2L, 2L, 1L, 5L, 1L, 4L, 6L, 3L, 4L, 1L, 3L         ), WITHIN_350M_BUS = c(12L, 10L, 10L, 12L, 14L, 10L,          11L, 15L, 10L, 13L, 10L, 15L, 8L, 13L, 10L, 13L, 12L,          11L, 5L, 7L), WITHIN_1KM_PRISCH = c(4L, 5L, 5L, 6L, 5L,          6L, 5L, 4L, 4L, 6L, 4L, 4L, 5L, 4L, 6L, 4L, 4L, 6L, 3L,          3L), DNeighbour = c(0, 187.654986615703, 194.774949696764,          228.763360187541, 246.498236819189, 259.608808917818,          316.86255690857, 330.587280026708, 347.854014237307,          439.571461670036, 466.362721869938, 472.164721674004,          516.911592360281, 525.537083151808, 547.040487794482,          609.036977657016, 669.950033684988, 745.150508380923,          769.922469065232, 799.955582484184)), row.names = c("967",      "494", "591", "447", "560", "668", "292", "513", "129", "627",      "921", "577", "755", "718", "866", "771", "975", "364", "273",      "189"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.892970944847741,      0.884947374392054, 0.843130015266133, 0.819115139091606,      0.800453928817871, 0.710825435295143, 0.687603511269934,      0.657579455405267, 0.487281376538353, 0.435768436439981,      0.424606420084351, 0.33925661658773, 0.323085847248162, 0.283412279823073,      0.176705639466751, 0.0891741919077123, 0.017510343019789,      0.00542836515134897, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       737189992 
R squared (OOB):                  0.1561368 

$Forests[[968]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(680000, 680000, 8e+05,      753000, 685000, 748000, 620000, 945500, 912000, 7e+05, 476000,      475000, 537000, 5e+05, 375000, 438888, 355000, 407000, 510000,      688000), floor_area_sqm = c(91, 85, 90, 87, 93, 107, 103,      87, 87, 93, 103, 103, 106, 103, 82, 80, 82, 82, 93, 85),          storey_order = c(3L, 2L, 7L, 5L, 4L, 2L, 2L, 8L, 3L,          1L, 2L, 2L, 4L, 1L, 3L, 4L, 2L, 5L, 4L, 4L), remaining_lease_mths = c(984,          1066, 1063, 1104, 1115, 899, 911, 1143, 1142, 625, 774,          781, 760, 773, 645, 601, 656, 661, 746, 964), PROX_CBD = c(2.86455481676114,          2.96405104980333, 2.97610984462207, 2.5775653440094,          2.56060478168524, 2.52364731081334, 2.86182045335715,          2.51922626320824, 2.51922626320824, 2.09358084499411,          3.09516181063763, 3.09516181063763, 3.12641734116327,          3.24578829573265, 3.68559345068932, 3.37234644442932,          3.73116287154914, 3.63085360417079, 3.46549777590634,          3.98134497452694), PROX_ELDERLYCARE = c(0.111411798512938,          0.206690358794928, 0.249991250520312, 0.283170941801308,          0.303984777605612, 0.132133546591398, 0.334062202372697,          1.25853619714168e-06, 1.25853619714168e-06, 0.442569764285143,          0.614909460801077, 0.614909460801077, 0.570344367187993,          0.461566734593474, 0.466665237090727, 0.401810150563083,          0.501456868829436, 0.233260955843543, 0.22080460703487,          0.168717999980802), PROX_HAWKER = c(0.302651224916382,          0.344572110572533, 0.405863058813757, 0.447120961378381,          0.450094806637729, 0.315417458803045, 0.231089093207534,          0.187177165934232, 0.187177165934232, 0.103399879312882,          0.524942013349153, 0.524942013349153, 0.582032517556358,          0.461305554076076, 0.28293755865871, 0.449139985411189,          0.311969910328466, 0.0974836441417274, 0.288924403117312,          0.262344394473714), PROX_MRT = c(0.391395986196982, 0.377919714857806,          0.337225216160626, 0.499107329029013, 0.546591463865751,          0.277076743329557, 0.819080841065402, 0.243725266054354,          0.243725266054354, 0.681532284353367, 1.19880844528061,          1.19880844528061, 1.19588154804183, 1.11057161001852,          1.17490863944549, 0.537190991659238, 1.10221151459309,          0.897060452829867, 0.855873415641472, 0.310254962870727         ), PROX_PARK = c(0.399002951856213, 0.495024008458079,          0.4671588721782, 0.18481391877062, 0.21329655328302,          0.163253442595557, 0.609617368578913, 0.28862748451296,          0.28862748451296, 0.400473707610266, 0.971409228458194,          0.971409228458194, 0.971029675538415, 0.856773721705297,          0.304435062988112, 0.408351250353425, 0.271761978726623,          0.512523364266062, 0.78484111030831, 0.894232249415992         ), PROX_GOOD_PRISCH = c(4.71207116352008, 4.62297298452196,          4.56048774292729, 4.89009258041755, 4.93746215949662,          4.61812725480087, 5.1514664212482, 4.50145006484821,          4.50145006484821, 4.81109980295855, 5.46565510857314,          5.46565510857314, 5.52416256345089, 5.51078547454581,          5.15997579188296, 3.70512913004722, 5.22570836776045,          5.4842432173218, 5.67094725420518, 3.868083844602), PROX_MALL = c(0.420489734799516,          0.404565296260845, 0.362094853274792, 0.524781909718914,          0.572150632107275, 0.290995843291254, 0.848351644608041,          0.244046547559164, 0.244046547559164, 0.685370188976197,          1.2281628510896, 1.2281628510896, 1.29251563056945, 1.33172083977874,          1.3376464242075, 0.743612757274357, 1.41171259857663,          1.51733094855201, 1.56665946009711, 1.18273225000282),          PROX_CHAS = c(0.110042750971165, 0.0506108453744785,          0.111500209373212, 0.0301364724824846, 0.0640474788759872,          0.0122221533760307, 0.159666076311523, 0.0462846720247782,          0.0462846720247782, 0.165994533154508, 0.240903750709302,          0.240903750709302, 0.202999736112437, 0.0869328465249217,          0.216565147674259, 0.499618186459994, 0.261237260735983,          0.318203164684035, 0.173647795570322, 0.145112311632742         ), PROX_SUPERMARKET = c(0.110042446678578, 0.0506107476035619,          0.111500172768761, 0.275738565320567, 0.315915165677582,          0.0373112013983995, 0.360029455717415, 0.169442491353445,          0.169442491353445, 0.346795592234613, 0.240902416159861,          0.240902416159861, 0.202998478162502, 0.0869315055470345,          0.252487697752149, 0.499617451823641, 0.301923436189205,          0.318204198369299, 0.173649067116538, 0.252387257990654         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 1L, 1L, 1L, 0L,          1L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 3L, 4L, 4L, 6L,          3L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 1L, 1L, 3L         ), WITHIN_350M_BUS = c(7L, 7L, 4L, 3L, 3L, 6L, 4L, 4L,          4L, 7L, 4L, 4L, 5L, 6L, 10L, 8L, 9L, 11L, 9L, 12L), WITHIN_1KM_PRISCH = c(4L,          4L, 3L, 2L, 3L, 2L, 3L, 2L, 2L, 1L, 3L, 3L, 2L, 2L, 2L,          3L, 2L, 2L, 2L, 1L), DNeighbour = c(0, 120.323331441641,          165.25477195347, 307.26201612447, 343.04505022893, 408.253991985913,          446.396938546952, 495.350965330517, 496.121598208796,          798.303775066458, 811.346476321085, 817.156975803522,          874.011807104547, 909.125344361883, 968.765433820246,          1012.6655328658, 1043.3746546195, 1112.28122353657, 1148.84192263693,          1265.82889850449)), row.names = c("968", "389", "319",      "999", "390", "65", "561", "816", "550", "824", "126", "134",      "48", "192", "683", "69", "432", "742", "454", "375"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.982010743632276, 0.96620354100288, 0.885630289373906, 0.85850728088064,      0.80278272781669, 0.766739547721037, 0.717179401373361, 0.716371980756672,      0.362731355574918, 0.347120679555098, 0.340196945674609,      0.27379758749495, 0.234431030907671, 0.171631044186637, 0.129597803027571,      0.102779334183836, 0.0519338342079023, 0.0310807057852085,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       8567055058 
R squared (OOB):                  0.7109066 

$Forests[[969]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(530000, 525000, 437000,      415000, 420000, 398000, 490888, 495000, 455000, 460000, 475000,      550000, 412000, 455000, 460000, 589000, 465000, 532000, 450000,      498000), floor_area_sqm = c(95, 97, 93, 93, 93, 93, 93, 93,      93, 92, 92, 95, 90, 92, 92, 96, 90, 96, 90, 93), storey_order = c(4L,      3L, 2L, 2L, 1L, 1L, 5L, 5L, 4L, 3L, 5L, 4L, 3L, 5L, 3L, 6L,      5L, 4L, 2L, 2L), remaining_lease_mths = c(1106, 1098, 1076,      1071, 1101, 1077, 1141, 1080, 1096, 1107, 1098, 1115, 1034,      1108, 1097, 1111, 1132, 1111, 1134, 1102), PROX_CBD = c(14.4087790426081,      14.3488328635023, 14.2040057462849, 14.2040057462849, 14.3298082323417,      14.2040057462849, 14.4799585140632, 14.2035293519974, 14.3469943525049,      14.2518409016409, 14.3437499696049, 13.9206851659757, 13.9701294998534,      14.2694643570804, 14.2694643570804, 13.8838492138892, 14.6796515041342,      13.8842234613226, 14.6796515041342, 13.8269911518463), PROX_ELDERLYCARE = c(0.87860471100088,      0.805205193908325, 0.732225931930739, 0.732225931930739,      0.943112693551276, 0.732225931930739, 1.06862824267944, 0.685279068417721,      1.07571195137499, 0.985840321219444, 1.14464302293932, 0.410984632703067,      0.798789790509628, 1.14423906696184, 1.14423906696184, 0.321249151015697,      1.45102259724198, 0.284905700992106, 1.45102259724198, 0.272443342502121     ), PROX_HAWKER = c(0.295591155505828, 0.28631929470226, 0.429643877236979,      0.429643877236979, 0.494981643036057, 0.429643877236979,      0.462243392197612, 0.384064154962602, 0.654543769257927,      0.656651462258042, 0.74882220835846, 0.63246529422046, 0.796241674024292,      0.826638245470088, 0.826638245470088, 0.661984274687099,      0.836784965651702, 0.667389882084889, 0.836784965651702,      0.718894335359525), PROX_MRT = c(0.258499173090988, 0.320519516131068,      0.339881548667158, 0.339881548667158, 0.122691316210064,      0.339881548667158, 0.082651796212049, 0.289240493397468,      0.131478587775223, 0.189142279194464, 0.217663394995295,      0.247793554682504, 0.262922949537813, 0.30438768875815, 0.30438768875815,      0.202599849124069, 0.391052893274669, 0.172676244118343,      0.391052893274669, 0.250191496834268), PROX_PARK = c(0.572778275466331,      0.585388118838944, 0.735378016798131, 0.735378016798131,      0.760551135167525, 0.735378016798131, 0.682350458092963,      0.69423802629866, 0.731552922713316, 0.785709089572823, 0.636899975343007,      0.9355470513087, 0.929619749314005, 0.599699049952129, 0.599699049952129,      0.953674473627188, 0.566439778554251, 0.946790994443363,      0.566439778554251, 1.00953333913803), PROX_GOOD_PRISCH = c(5.07040230577432,      4.99658730632735, 4.87692111553996, 4.87692111553996, 5.05687720866847,      4.87692111553996, 5.20136656590841, 4.84858590291698, 5.13548460888622,      5.03443000866885, 5.1680916684458, 4.55661004860153, 4.76155598853922,      5.12184985907385, 5.12184985907385, 4.48950135049007, 5.51577006817018,      4.46427355245829, 5.51577006817018, 4.43409233459216), PROX_MALL = c(0.48422641650143,      0.415696526053807, 0.458083927679449, 0.458083927679449,      0.644100917109673, 0.458083927679449, 0.64848155368644, 0.37351280301214,      0.480981762762808, 0.535261743386166, 0.38589862433106, 0.441605558767423,      0.698652085628877, 0.351657486288216, 0.351657486288216,      0.415387276861254, 0.38618207223371, 0.384398044205003, 0.38618207223371,      0.464449368072494), PROX_CHAS = c(0.263312743704905, 0.232702657922268,      0.0920652608940773, 0.0920652608940773, 0.116678641770301,      0.0920652608940773, 0.149921511006425, 0.170907589664044,      0.0578525184286013, 0.121511881264649, 0.0401042229543167,      0.230184731543739, 0.224338502615803, 0.120456720485379,      0.120456720485379, 0.130388475133542, 0.367772140885018,      0.0936868185767241, 0.367772140885018, 0.093713435160417),          PROX_SUPERMARKET = c(0.263313051629592, 0.232703172737007,          0.0920659899308881, 0.0920659899308881, 0.116679779166118,          0.0920659899308881, 0.149922203205158, 0.170908382081647,          0.0704323341151683, 0.121511691834874, 0.165776473264822,          0.23018467784701, 0.281017798180362, 0.244158473149448,          0.244158473149448, 0.130388583033251, 0.0442147517112349,          0.093687407280864, 0.0442147517112349, 0.0937132175773042         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 2L, 1L,          1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(6L, 6L, 5L, 5L, 7L, 5L,          6L, 5L, 7L, 10L, 8L, 4L, 7L, 10L, 10L, 3L, 4L, 3L, 4L,          5L), WITHIN_350M_BUS = c(10L, 9L, 9L, 9L, 9L, 9L, 6L,          9L, 8L, 9L, 8L, 13L, 13L, 9L, 9L, 9L, 4L, 7L, 4L, 8L),          WITHIN_1KM_PRISCH = c(5L, 6L, 5L, 5L, 5L, 5L, 4L, 5L,          4L, 6L, 5L, 5L, 8L, 6L, 6L, 5L, 4L, 5L, 4L, 5L), DNeighbour = c(0,          77.5142106266521, 203.289914852085, 203.29869379072,          203.570026525041, 205.933490773601, 211.864535478552,          217.919261685739, 363.783189067162, 363.787849936818,          467.127602253841, 509.20347772975, 527.515479370339,          534.110877221104, 538.018646335069, 582.63799308349,          621.044261227272, 625.50762971388, 626.699064554235,          632.08253886873)), row.names = c("969", "363", "911",      "272", "688", "448", "979", "66", "488", "73", "70", "516",      "301", "470", "434", "723", "996", "670", "405", "376"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.970148436764504, 0.803821725732973, 0.803805705923906,      0.803310315604134, 0.798973774696388, 0.78792442053605, 0.776403877102306,      0.447245151229137, 0.447233798642232, 0.205966654355038,      0.123211030088289, 0.0921105863967007, 0.0817799697393262,      0.0758922727730608, 0.0225992670957544, 0.00119866407814838,      0.000428314332646464, 0.000287694058094619, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1920483902 
R squared (OOB):                  0.2478217 

$Forests[[970]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(415000, 425000, 385000,      422500, 4e+05, 408000, 425000, 415000, 450000, 390000, 440000,      405000, 395000, 365000, 385000, 420000, 415000, 350000, 468000,      420000), floor_area_sqm = c(108, 104, 84, 104, 107, 105,      104, 108, 106, 109, 104, 106, 103, 84, 102, 103, 103, 84,      106, 106), storey_order = c(2L, 4L, 2L, 3L, 1L, 1L, 2L, 3L,      2L, 1L, 3L, 2L, 4L, 4L, 3L, 2L, 2L, 2L, 5L, 3L), remaining_lease_mths = c(891,      775, 815, 765, 912, 797, 801, 904, 919, 908, 752, 778, 772,      787, 755, 757, 768, 806, 863, 874), PROX_CBD = c(13.8459786715751,      13.5598735525989, 13.8115996810708, 13.4875816574924, 13.6047453762483,      13.8987191813532, 13.9224032790502, 13.7944980809676, 13.6245617307962,      13.9032473641583, 13.1913836000948, 13.2146489403719, 13.1724132817366,      13.5012180894848, 13.2614515751509, 13.2614515751509, 13.0537205387581,      13.3385512116162, 13.629257933267, 13.629257933267), PROX_ELDERLYCARE = c(0.429452782693922,      0.555470204987842, 0.244605555667631, 0.428841001075194,      0.271914041498034, 0.166628987045545, 0.160860892679658,      0.91518434198946, 0.120631950903102, 1.01451296282065, 0.779182108791446,      0.392334185262972, 0.906244923447749, 0.126566715598502,      0.99636081833896, 0.99636081833896, 0.569472877275307, 1.09997831443452,      0.207468408301612, 0.207468408301612), PROX_HAWKER = c(1.71981564227335,      1.44869421276883, 1.71143518366979, 1.41347495302278, 1.50728197565297,      1.60647998640073, 1.57003684649171, 1.66782294138278, 1.48009929412898,      1.79397933605035, 1.05769292681279, 1.1504484389926, 1.03184370064912,      1.32455892398921, 1.14030290242306, 1.14030290242306, 0.963287544217337,      1.2578245237404, 1.4012681206183, 1.4012681206183), PROX_MRT = c(0.2084775132707,      0.172867375742438, 0.198072339225813, 0.229256973107587,      0.222008379422339, 0.337555536848429, 0.375491068655226,      0.658832763416297, 0.357520644011877, 0.800124130005956,      0.577154139562059, 0.530339592860526, 0.712767869041386,      0.54422435083218, 0.667490524156887, 0.667490524156887, 0.551410176707671,      0.602718547061467, 0.681065013996815, 0.681065013996815),          PROX_PARK = c(1.1446906726086, 1.16233583500127, 0.925135888784,          1.00267286051928, 0.882483872449952, 0.83983547285748,          0.819174175884815, 0.645156432286565, 0.731000545087102,          0.561902145555774, 1.12092772213378, 0.763919329225246,          0.94305137750942, 0.593866981909781, 0.758867978246924,          0.758867978246924, 0.974634241933185, 0.569772965965399,          0.403276931712581, 0.403276931712581), PROX_GOOD_PRISCH = c(2.27101821651052,          1.97663004084467, 2.17137072991142, 1.87202126825599,          1.96272742295518, 2.24487256678893, 2.26578798898653,          2.39271928635374, 1.96554365084008, 2.54268815221988,          1.6842887316892, 1.57814209766337, 1.76071721252525,          1.8351788996921, 1.91909050044553, 1.91909050044553,          1.48818847749708, 2.07907555576542, 1.96779323327463,          1.96779323327463), PROX_MALL = c(1.35153556565047, 1.05810160080284,          1.25122768833936, 0.948424723316687, 1.0427530371351,          1.33259876169033, 1.34118728457461, 1.14990641994387,          1.05956757611768, 1.19892197022629, 0.813382909306435,          0.655287065425073, 0.808064657998832, 0.956400108312903,          0.72813233212774, 0.72813233212774, 0.593340478429386,          0.668924040978838, 1.12429495075828, 1.12429495075828         ), PROX_CHAS = c(0.345234103044859, 0.180657994610612,          0.130123043615932, 0.231037598077535, 0.15212794302602,          0.0582471476749484, 0.0806372798138111, 0.17469359838053,          2.17172157220984e-06, 0.278906060515125, 0.19044114280624,          0.358071114142678, 0.253073540027742, 0.0648495538885981,          0.255705601713763, 0.255705601713763, 0.203693673714882,          0.191227179226131, 0.260044927245007, 0.260044927245007         ), PROX_SUPERMARKET = c(0.426625283183798, 0.180658044884504,          0.30366394922488, 0.231037826802092, 0.353624023725788,          0.2065347950197, 0.189550835904173, 0.357404112790227,          0.237807435452358, 0.357092891009527, 0.190441743522314,          0.384538867225359, 0.263318229535236, 0.329742543966106,          0.336474046543398, 0.336474046543398, 0.349948262987797,          0.444314653432489, 0.288903462518554, 0.288903462518554         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 0L, 2L, 0L, 2L,          3L, 1L, 3L, 0L, 3L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 3L, 3L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 2L, 6L, 3L,          3L, 3L, 5L, 2L, 4L, 3L, 3L, 5L, 2L, 2L, 2L, 3L, 6L, 6L         ), WITHIN_350M_BUS = c(12L, 11L, 10L, 10L, 12L, 9L, 9L,          7L, 10L, 7L, 8L, 9L, 6L, 7L, 6L, 6L, 8L, 5L, 6L, 6L),          WITHIN_1KM_PRISCH = c(5L, 6L, 5L, 5L, 5L, 4L, 3L, 4L,          4L, 3L, 5L, 6L, 4L, 4L, 4L, 4L, 6L, 5L, 2L, 2L), DNeighbour = c(0,          297.233801016351, 336.029010754252, 422.295269165011,          435.475074993844, 454.091490643177, 479.967477509695,          493.292240140978, 559.589378127571, 619.222773694264,          664.54444865423, 724.483296309706, 741.18489504884, 751.090147231266,          752.236268516716, 756.271845051779, 795.907852773269,          827.648855476267, 871.265559037546, 872.59435723163)), row.names = c("970",      "564", "235", "663", "955", "531", "219", "542", "656", "113",      "229", "511", "225", "264", "473", "753", "541", "618", "415",      "503"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.781402347883294,      0.72540010526809, 0.586432508752611, 0.563912760347098, 0.531720575499142,      0.486434885863277, 0.462967195990772, 0.346617404569706,      0.246432163836069, 0.17640530078725, 0.0965111411550237,      0.0775696675369307, 0.0671330445482039, 0.0659655452871896,      0.0619225409753125, 0.0282385150892987, 0.0100726783287314,      9.26172001594483e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       680729745 
R squared (OOB):                  0.1001989 

$Forests[[971]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(398000, 340000, 350888,      390000, 380000, 418000, 4e+05, 4e+05, 4e+05, 418000, 380000,      676000, 663000, 655000, 390000, 655000, 640000, 462000, 333000,      388800), floor_area_sqm = c(92, 92, 93, 92, 92, 92, 92, 104,      98, 91, 93, 87, 87, 87, 92, 87, 87, 105, 89, 98), storey_order = c(3L,      1L, 3L, 1L, 4L, 4L, 4L, 2L, 4L, 5L, 3L, 3L, 4L, 5L, 1L, 1L,      4L, 1L, 1L, 2L), remaining_lease_mths = c(714, 699, 712,      711, 695, 691, 690, 751, 718, 774, 724, 1120, 1124, 1121,      685, 1123, 1121, 965, 692, 697), PROX_CBD = c(9.95525560808738,      9.97016469840266, 9.68679892421183, 9.71066487891121, 9.61422948612377,      9.61422948612377, 9.59976569988281, 9.83498872427818, 9.5915755681771,      9.35032791665702, 9.50206510185676, 9.49727834386093, 9.49727834386093,      9.49727834386093, 10.3184291669162, 9.39818328429371, 9.42381765287156,      10.9320040827019, 10.7178846249378, 10.7178846249378), PROX_ELDERLYCARE = c(0.150508443509651,      0.14040561650552, 0.35495808488012, 0.385358274245319, 0.28812103687201,      0.28812103687201, 0.239547661796275, 0.611336059876525, 0.558000418748021,      0.227789996497476, 0.619429799229152, 0.735218745429302,      0.735218745429302, 0.735218745429302, 0.724299376510179,      0.718190414835305, 0.750155484045513, 0.83761180429981, 0.903749132751209,      0.903749132751209), PROX_HAWKER = c(0.153089379504462, 0.15909114400288,      0.221606053969191, 0.39402887106119, 0.398658919868918, 0.398658919868918,      0.436761476721694, 0.54583502916026, 0.434568479089541, 0.508896406641727,      0.518318645141504, 0.639074974233661, 0.639074974233661,      0.639074974233661, 0.285348407142059, 0.640059738279374,      0.667492197519696, 0.499252912381913, 0.131164348467149,      0.131164348467149), PROX_MRT = c(0.521845664201362, 0.494111782173202,      0.760373725070279, 0.746020760246364, 0.667432439829923,      0.667432439829923, 0.619962862184004, 0.722241727367494,      0.656590823238566, 0.569946398217962, 0.533910829474844,      0.499971219475903, 0.499971219475903, 0.499971219475903,      0.752281430413819, 0.401734036242065, 0.423547456258288,      0.582189406643083, 0.897030842789514, 0.897030842789514),          PROX_PARK = c(0.730503149795042, 0.68588072489708, 0.664893225436512,          0.914740437498633, 0.922231693079911, 0.922231693079911,          0.957886982704992, 0.296755194228525, 0.355705093322714,          0.726258134328713, 0.26219477257436, 0.298527066745392,          0.298527066745392, 0.298527066745392, 1.05219739289641,          0.220484561261844, 0.258916726718906, 0.802226928628916,          0.68415716278098, 0.68415716278098), PROX_GOOD_PRISCH = c(2.01039924795066,          1.97396491196204, 2.17803171840573, 2.31351362539819,          2.38715383730665, 2.38715383730665, 2.35345437748376,          1.88657748145099, 2.11809049366399, 2.41566392235711,          2.18628235132699, 2.17599822879711, 2.17599822879711,          2.17599822879711, 1.54472866778257, 2.27458198186913,          2.24680049319454, 1.4460454342776, 1.69245386393467,          1.69245386393467), PROX_MALL = c(0.757457219803541, 0.802483711672914,          0.796976758090547, 0.505770857705003, 0.43353114329251,          0.43353114329251, 0.387669919047214, 1.23747152538927,          1.22478662403239, 0.406203001531397, 1.32833110917602,          1.45007786498113, 1.45007786498113, 1.45007786498113,          0.472532088410597, 1.45650167595406, 1.48330987402926,          1.37776203899083, 0.922177591154216, 0.922177591154216         ), PROX_CHAS = c(0.144412947448491, 0.187394625423847,          0.0707228333244178, 0.255589678637005, 0.28666502826278,          0.28666502826278, 0.263208245292117, 0.352730820744124,          0.346218272658546, 0.146235674893272, 0.219477506246216,          0.101351467161616, 0.101351467161616, 0.101351467161616,          0.165961529218061, 0.109789289200213, 0.0719365450960561,          0.293630149165848, 0.141741960002869, 0.141741960002869         ), PROX_SUPERMARKET = c(0.204623167766534, 0.215556112381702,          0.128382981112681, 0.363062686357781, 0.396736556610776,          0.396736556610776, 0.44091986097032, 0.324694852199881,          0.300584979098838, 0.347306649978202, 0.191210069763785,          0.0715849245259307, 0.0715849245259307, 0.0715849245259307,          0.447507928623339, 0.13637298984998, 0.100679215951394,          0.445162931243089, 0.141741503991008, 0.141741503991008         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 1L, 2L, 2L,          2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 2L, 3L, 3L,          4L, 1L, 5L, 5L, 6L, 6L, 6L, 6L, 4L, 6L, 6L, 0L, 4L, 4L         ), WITHIN_350M_BUS = c(9L, 9L, 10L, 13L, 11L, 11L, 11L,          3L, 5L, 9L, 2L, 4L, 4L, 4L, 7L, 6L, 5L, 0L, 6L, 6L),          WITHIN_1KM_PRISCH = c(4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L,          2L, 3L, 1L, 1L, 1L, 1L, 5L, 1L, 1L, 4L, 5L, 5L), DNeighbour = c(0,          39.1135878247518, 289.505090800085, 305.689338007149,          417.318651747001, 422.825549617262, 458.710986788898,          557.935673262628, 667.360564249844, 703.465653450342,          798.813921331537, 906.011749976016, 911.477731275155,          912.443334150792, 943.200222488012, 964.161403049776,          969.91339899618, 985.772964391935, 1002.9851559859, 1012.76607756204         )), row.names = c("971", "211", "946", "776", "603",      "499", "964", "659", "746", "37", "539", "593", "466", "731",      "97", "657", "9", "671", "914", "429"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.997019130203024, 0.843249990853041, 0.826090091344165,      0.689245274786386, 0.681776006680486, 0.631795180259119,      0.485120746069176, 0.320114968906184, 0.267840532906247,      0.142794600083831, 0.0398826287879501, 0.0361079283304182,      0.0354583209499882, 0.0175986115776266, 0.00877608801337416,      0.00686158398686885, 0.0027662704612666, 0.000369485021056845,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12618008805 
R squared (OOB):                  0.1570269 

$Forests[[972]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(275000, 250000, 270000,      265000, 255000, 245000, 359900, 355000, 370000, 298000, 303888,      3e+05, 330000, 350000, 303000, 297000, 325000, 279000, 305000,      316000), floor_area_sqm = c(98, 97, 97, 91, 91, 88, 93, 93,      93, 93, 93, 96, 103, 103, 92, 91, 91, 91, 91, 92), storey_order = c(4L,      4L, 2L, 2L, 4L, 2L, 3L, 3L, 5L, 1L, 2L, 4L, 2L, 4L, 1L, 3L,      4L, 2L, 4L, 3L), remaining_lease_mths = c(689, 708, 687,      724, 686, 668, 1117, 1111, 1106, 777, 782, 791, 773, 768,      794, 788, 780, 801, 791, 781), PROX_CBD = c(19.3611499271018,      19.2477081153014, 19.1998859465191, 19.4237844042343, 19.1428796063974,      18.8842060529579, 18.8127816342995, 18.8127816342995, 18.8127816342995,      18.5252470382495, 18.5252470382495, 18.5761736305699, 18.4499801912104,      18.3186881593276, 18.2139172788048, 18.1476771148045, 18.1476771148045,      18.2989051402725, 18.2610111258248, 18.2234963781047), PROX_ELDERLYCARE = c(0.67405856369397,      0.533620939869422, 0.482976337773198, 0.695760303539868,      0.457204003422965, 0.229103995883471, 0.176499517448139,      0.176499517448139, 0.176499517448139, 0.449194476018676,      0.449194476018676, 0.0638277150498875, 0.504778052376495,      0.586525817031338, 0.649170232100017, 0.519546459890619,      0.519546459890619, 0.397078044127006, 0.421521882373529,      0.448333702611612), PROX_HAWKER = c(0.578426076793613, 0.435575948420033,      0.407382567332432, 0.430278742731878, 0.491246203286744,      0.280513302960552, 0.325560722493799, 0.325560722493799,      0.325560722493799, 0.69553534809229, 0.69553534809229, 0.562029876499453,      0.652207052169444, 0.564283191409187, 0.488031980714328,      0.209390724873544, 0.209390724873544, 0.491047773869601,      0.453171307776496, 0.416527045274471), PROX_MRT = c(1.24242318119045,      1.17336842789895, 1.13705578024219, 1.37619150821735, 1.0490560030484,      1.03601464731326, 1.04083770509984, 1.04083770509984, 1.04083770509984,      0.398456142880405, 0.398456142880405, 0.874368880716004,      0.322534237265928, 0.220618943711049, 0.192826481399443,      0.491311596778589, 0.491311596778589, 0.552168886353884,      0.547550551918807, 0.545975779093886), PROX_PARK = c(0.694921724836528,      0.715290586226954, 0.708199402424467, 0.899998771522662,      0.602588748705797, 0.579556587207627, 0.51923222906617, 0.51923222906617,      0.51923222906617, 0.491317901173298, 0.491317901173298, 0.287868908027907,      0.536975621309476, 0.548488124002706, 0.532358306258428,      0.270911567278729, 0.270911567278729, 0.287159802467115,      0.272660801967067, 0.264257474455249), PROX_GOOD_PRISCH = c(10.393420977377,      10.2559210914134, 10.205087741046, 10.4013344251086, 10.1724586401982,      9.83133063879426, 9.7422556358987, 9.7422556358987, 9.7422556358987,      9.63394268044443, 9.63394268044443, 9.51590189269927, 9.56762880935522,      9.44179125712709, 9.33501569353139, 9.18618174729203, 9.18618174729203,      9.19982386356694, 9.16752282736586, 9.1355701416359), PROX_MALL = c(1.41164243574585,      1.28177138580973, 1.23204265332191, 1.44800971701603, 1.19002137667581,      0.91348864249693, 0.856774663098642, 0.856774663098642, 0.856774663098642,      0.705200807731176, 0.705200807731176, 0.624506085881379,      0.662291407978718, 0.574856358668165, 0.498813518897969,      0.218975149940797, 0.218975149940797, 0.486326630506135,      0.448092738738542, 0.411037179701155), PROX_CHAS = c(0.346579909600863,      0.34509608786971, 0.377747950290313, 0.141128343720225, 0.472048134528426,      0.241229981070425, 0.2593611752042, 0.2593611752042, 0.2593611752042,      0.240425442805127, 0.240425442805127, 0.0792988689034794,      0.201478871858691, 0.141159289664064, 0.0363398547195702,      0.218975205360203, 0.218975205360203, 0.0660681856594747,      0.0964740211655948, 0.132763801624598), PROX_SUPERMARKET = c(1.22987785443232,      1.16090501353567, 1.12464344461301, 1.36375821567757, 1.03656246660954,      0.911876453557648, 0.856773769273042, 0.856773769273042,      0.856773769273042, 0.386130046709882, 0.386130046709882,      0.625539331690589, 0.310351384739933, 0.210011389308567,      0.186956242757619, 0.206881250620068, 0.206881250620068,      0.490326509583637, 0.457654559995222, 0.421116980529575),          WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 1L, 2L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L, 0L, 2L, 1L,          1L, 1L, 1L, 1L, 1L, 2L, 2L, 4L, 5L, 3L, 3L, 2L, 2L, 2L         ), WITHIN_350M_BUS = c(8L, 9L, 10L, 6L, 6L, 13L, 16L,          16L, 16L, 8L, 8L, 10L, 9L, 10L, 9L, 7L, 7L, 6L, 6L, 6L         ), WITHIN_1KM_PRISCH = c(0L, 0L, 1L, 0L, 1L, 1L, 1L,          1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 4L, 4L, 4L),          DNeighbour = c(0, 163.147188338794, 203.406606942988,          219.041547647401, 222.802989131392, 621.292672927459,          728.879962073551, 732.231897873666, 737.06608352254,          858.771612569472, 860.549622410151, 913.878869138532,          932.503100732959, 1060.23585565743, 1159.88151821613,          1224.19770696831, 1229.81968263111, 1250.2766647147,          1274.77457460619, 1296.08828956063)), row.names = c("972",      "981", "193", "2", "484", "96", "604", "418", "637", "11",      "106", "78", "810", "367", "481", "827", "944", "433", "905",      "202"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.96856122414553,      0.9513470212943, 0.943692399829976, 0.941771173010012, 0.593229829788656,      0.467501799589463, 0.463523433751404, 0.457783866085231,      0.314696426743207, 0.312658010245093, 0.2528343443643, 0.232667067756317,      0.109449163050887, 0.0396556522368545, 0.0116333638678769,      0.00992915711226969, 0.00482230129412785, 0.00106399057716399,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       656193215 
R squared (OOB):                  0.5288645 

$Forests[[973]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(640000, 640000, 720000,      705000, 435000, 450000, 440000, 516000, 439000, 350000, 588000,      408000, 345000, 548000, 375000, 420000, 420000, 670000, 430000,      410000), floor_area_sqm = c(91, 90, 91, 91, 98, 92, 92, 98,      97, 92, 95, 91, 92, 95, 92, 91, 99, 94, 93, 97), storey_order = c(3L,      1L, 3L, 3L, 1L, 1L, 3L, 3L, 3L, 1L, 3L, 3L, 1L, 2L, 2L, 1L,      3L, 6L, 3L, 4L), remaining_lease_mths = c(992, 1095, 1079,      1097, 692, 679, 677, 698, 669, 714, 1025, 674, 695, 981,      695, 742, 716, 1104, 728, 665), PROX_CBD = c(9.30017281297198,      9.29204667907952, 9.2692311101123, 9.2692311101123, 8.85689554561162,      8.7589377611275, 8.7589377611275, 8.70928269501252, 8.73211086874077,      9.56457497404925, 8.51090417959469, 8.96374942103709, 8.46158045860266,      8.37940280964872, 8.4016901584654, 8.31995738049774, 9.97053790241166,      8.58683984966127, 8.20083785223568, 8.66747718420982), PROX_ELDERLYCARE = c(0.677643973897152,      0.771441336950035, 0.751834464907999, 0.751834464907999,      0.272187629818594, 0.169235371196244, 0.169235371196244,      0.119444653145476, 0.292319821872094, 1.08567795373645, 0.120425912751251,      0.267188539522683, 0.0854535518544851, 0.335901694998922,      0.150390524199432, 0.259768432786295, 0.115679603991599,      0.203840329735754, 0.41240614163537, 0.0441159965049124),          PROX_HAWKER = c(0.445284816601654, 0.172288624542473,          0.13065395668809, 0.13065395668809, 0.446318851105742,          0.330091511745513, 0.330091511745513, 0.281172749103646,          0.436547444862961, 0.44425153291851, 0.166697492306482,          0.393731145214296, 0.266645682444034, 0.203869560106314,          0.205000896629144, 0.387410687724852, 0.499128715987426,          0.433030813326955, 0.35604829505958, 0.357845486047337         ), PROX_MRT = c(0.258716275079725, 0.459210746913958,          0.513894886157587, 0.513894886157587, 0.372678744867538,          0.338391484905848, 0.338391484905848, 0.379410256905797,          0.600073719023998, 1.06652131186481, 0.608243230971526,          0.71987240697712, 0.681495718287031, 0.62312262100292,          0.747297636603152, 0.705543842504761, 0.460213635694043,          0.751078096441513, 0.805467939952349, 0.874328108605637         ), PROX_PARK = c(0.166211588513849, 0.354651430366215,          0.421166514654472, 0.421166514654472, 0.479885299937475,          0.469340752260783, 0.469340752260783, 0.513364518506117,          0.617507126900098, 0.829152657918636, 0.368529270986479,          0.60552725382935, 0.773425606080498, 0.394842599629624,          0.784786352249359, 0.517920409018535, 0.425125261748846,          0.52118662053352, 0.393072899865764, 0.691303172853456         ), PROX_GOOD_PRISCH = c(1.82000438656186, 2.10961489740732,          2.13343245969583, 2.13343245969583, 1.47413984574199,          1.40615721612308, 1.40615721612308, 1.35677240305411,          1.31940815963163, 1.87441197950121, 1.13331232297991,          1.13785719900195, 1.4534383809239, 1.14854892992093,          1.42922442943649, 1.20021801549651, 1.1615230473897,          1.16640042723588, 1.04754826657838, 1.23754792076915),          PROX_MALL = c(0.302826744416793, 0.591682371404957, 0.655923636590071,          0.655923636590071, 0.241772845363545, 0.264395031718586,          0.264395031718586, 0.313890580083005, 0.469553394647833,          1.18499732413142, 0.540250505232014, 0.480317195978648,          0.793630348518112, 0.651389947232486, 0.856591768216477,          0.768764019555169, 0.687811479893446, 0.632538285087724,          0.844084234929545, 0.740457696387364), PROX_CHAS = c(0.258750733988333,          0.116738661463474, 0.0970531700661786, 0.0970531700661786,          0.157458356405151, 0.0806835690144568, 0.0806835690144568,          0.112175615725657, 0.0664211666443358, 0.358325278319411,          0.0869956868442428, 0.143131544605207, 0.161491876005888,          0.11938167830482, 0.14998683096932, 0.1066489590073,          0.354473795917701, 0.237191200694799, 0.0460460495231756,          0.34300149800099), PROX_SUPERMARKET = c(0.378001630838772,          0.110756393825321, 0.098601858754749, 0.098601858754749,          0.224853982916395, 0.24726445439454, 0.24726445439454,          0.221335227738319, 0.350370254212894, 0.418420374852224,          0.0869967242830128, 0.181164390242962, 0.128302570008396,          0.282093113359979, 0.194600933367586, 0.284909088626731,          0.61645520286935, 0.35437102597818, 0.436961702644775,          0.158725757407685), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 0L, 1L, 0L,          1L, 0L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 5L,          4L, 4L, 7L, 8L, 8L, 7L, 6L, 2L, 6L, 4L, 3L, 4L, 3L, 3L,          1L, 5L, 2L, 2L), WITHIN_350M_BUS = c(9L, 7L, 10L, 10L,          7L, 6L, 6L, 6L, 7L, 4L, 5L, 6L, 7L, 6L, 7L, 7L, 10L,          4L, 7L, 5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 2L, 3L,          3L, 3L, 4L, 3L, 1L, 3L, 2L, 3L, 3L, 3L, 2L, 2L, 2L, 2L,          2L), DNeighbour = c(0, 285.25237656449, 364.649760744016,          374.044769969949, 618.096254058872, 623.490310613362,          626.220842500854, 675.505202528374, 845.248890633771,          886.012220313316, 901.102562611074, 901.358044266792,          906.319931344061, 926.82600659414, 971.422100697411,          985.14523391451, 987.890243330834, 1003.01114511231,          1102.77512857388, 1104.35908033864)), row.names = c("973",      "191", "306", "642", "397", "194", "386", "446", "842", "197",      "94", "692", "676", "998", "682", "716", "359", "149", "79",      "331"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.871016750789029,      0.793834143359383, 0.783726560952773, 0.471625036775533,      0.46411295137372, 0.460308558276396, 0.391697891037536, 0.171562490664313,      0.126975776657508, 0.111705988450948, 0.111453740450569,      0.106597339716518, 0.087421110220898, 0.0511933476012965,      0.0417156216686209, 0.0399213412856885, 0.0306669273353257,      8.2167516876093e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       7570118296 
R squared (OOB):                  0.4847658 

$Forests[[974]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(325000, 390000, 345000,      323000, 295000, 325000, 310000, 370000, 350000, 336000, 420000,      345000, 320000, 380000, 420000, 335000, 370000, 385000, 340000,      345000), floor_area_sqm = c(90, 126, 104, 104, 105, 104,      104, 103, 104, 104, 92, 102, 106, 93, 93, 101, 93, 104, 101,      103), storey_order = c(4L, 2L, 4L, 3L, 1L, 1L, 1L, 4L, 2L,      4L, 6L, 2L, 1L, 1L, 3L, 2L, 1L, 1L, 5L, 5L), remaining_lease_mths = c(912,      879, 862, 956, 870, 872, 879, 881, 863, 958, 1104, 935, 851,      1138, 1139, 933, 1139, 863, 943, 944), PROX_CBD = c(16.3759795802925,      16.1769042321823, 16.2035530975804, 16.3822081442679, 16.027241877126,      15.9652370890998, 15.9652370890998, 15.9139497277605, 15.9139497277605,      16.2237683329895, 16.0058570800758, 16.0814208174046, 15.9983120826665,      15.9652529785268, 15.9652529785268, 16.135389698045, 15.8422849591204,      16.2492480828887, 15.9284058495794, 15.6615925135045), PROX_ELDERLYCARE = c(0.437652472603004,      0.382017171357745, 0.462412199513001, 0.317064501792404,      0.401697186037664, 0.372962984236141, 0.372962984236141,      0.471057675436291, 0.471057675436291, 0.233700982090528,      0.0922651494707867, 0.129424766752979, 0.541237256511776,      0.120425003900544, 0.120425003900544, 0.214357316635524,      0.241353796602158, 0.836071823435323, 0.260351961534281,      0.372854461013726), PROX_HAWKER = c(2.71828200917597, 2.55739022352562,      2.51024920878341, 2.76474077583521, 2.44772974464855, 2.45115541279444,      2.45115541279444, 2.34701070601947, 2.34701070601947, 2.48966457045008,      2.393526972262, 2.40830007300065, 2.1818192257633, 2.36922200206298,      2.36922200206298, 2.40272097648418, 2.37354129025836, 2.17952287051713,      2.2342618496891, 2.39243139523594), PROX_MRT = c(0.870089952652958,      0.674610535324426, 0.65447898159524, 1.02897813643603, 0.538616250543522,      0.52727924180445, 0.52727924180445, 0.424613907535265, 0.424613907535265,      1.11461848888664, 0.910164710677637, 1.00126993569874, 0.364450998520493,      0.886101680623091, 0.886101680623091, 1.09323648573999, 0.721786411333246,      0.290093838525113, 1.02417718077332, 0.499275570100955),          PROX_PARK = c(1.49155883505512, 1.39748820590438, 1.32632916723033,          1.73717122008599, 1.35146177086674, 1.39203600576681,          1.39203600576681, 1.30337713627377, 1.30337713627377,          1.86547668850022, 1.6216647961598, 1.7154732425778, 1.05372411430502,          1.58077599563476, 1.58077599563476, 1.7942088991982,          1.42084473696832, 0.886796559947336, 1.61207436869795,          1.19384102986047), PROX_GOOD_PRISCH = c(6.4246273009838,          6.23706483495109, 6.27623366830878, 6.39421933734494,          6.09534233388474, 6.02718330754398, 6.02718330754398,          5.99275530970335, 5.99275530970335, 6.20687623278084,          6.00411547246196, 6.0710937852797, 6.12314921566155,          5.96493131981452, 5.96493131981452, 6.11593822040069,          5.8611108446886, 6.4097782056775, 5.90870946924896, 5.71328270316738         ), PROX_MALL = c(0.409369768138594, 0.292722816398213,          0.370949542105629, 0.374078152135628, 0.275346491924215,          0.238316612740974, 0.238316612740974, 0.338688619983659,          0.338688619983659, 0.36788016328609, 0.187934498474296,          0.261655001598387, 0.45623102577182, 0.18546430077947,          0.18546430077947, 0.350342319635, 0.177442774283774,          0.355568776497803, 0.350369242497661, 0.238209845871265         ), PROX_CHAS = c(0.409369730284335, 0.292722768811081,          0.370949494121523, 0.374078140160073, 0.275346446899555,          0.238316573509266, 0.238316573509266, 0.338688583692834,          0.338688583692834, 0.367880188789974, 0.187934543511456,          0.26165503944411, 0.290215734280461, 0.185464348558652,          0.185464348558652, 0.350342354631045, 0.177442804982894,          0.121251060497272, 0.35036929019185, 0.238209795937414         ), PROX_SUPERMARKET = c(0.389543937857684, 0.254565333705719,          0.235998227482853, 0.357574924056941, 0.141316208924405,          0.177610526119132, 0.177610526119132, 0.112474666082431,          0.112474666082431, 0.364697803989784, 0.197516435852273,          0.265481412722203, 0.162067612034701, 0.198556813498254,          0.198556813498254, 0.352223797136593, 0.197153631350279,          0.350013224352412, 0.363015443397577, 0.238833101010687         ), WITHIN_350M_KINDERGARTEN = c(2L, 5L, 3L, 2L, 3L, 3L,          3L, 3L, 3L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 2L, 0L, 0L, 3L         ), WITHIN_350M_CHILDCARE = c(2L, 8L, 5L, 1L, 8L, 6L,          6L, 9L, 9L, 2L, 5L, 5L, 6L, 5L, 5L, 2L, 7L, 4L, 3L, 5L         ), WITHIN_350M_BUS = c(5L, 9L, 7L, 9L, 12L, 14L, 14L,          15L, 15L, 9L, 14L, 13L, 12L, 15L, 15L, 9L, 15L, 9L, 10L,          16L), WITHIN_1KM_PRISCH = c(2L, 3L, 3L, 2L, 3L, 3L, 3L,          3L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 2L, 3L),          DNeighbour = c(0, 205.671622761626, 211.11642570366,          251.020848735938, 355.064646482457, 407.299291203438,          408.364292925092, 476.045578158859, 477.552502739622,          513.470098586266, 524.135442290752, 531.819796070024,          535.58633208362, 550.65257985699, 554.027846604416, 569.112758242042,          583.106773341942, 609.516818689846, 694.836328682485,          706.834221468388)), row.names = c("974", "54", "806",      "173", "463", "566", "490", "927", "959", "394", "154", "890",      "888", "913", "137", "88", "585", "711", "705", "572"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.837834699990314, 0.829540155019639, 0.763666005853072,      0.559001010113958, 0.446168755900285, 0.443849011073527,      0.298565641193116, 0.295430716399709, 0.223058008969951,      0.2026262560873, 0.188268409249973, 0.181349949427733, 0.154524222242366,      0.148712622922182, 0.123708129943525, 0.10204730279425, 0.0657437073357438,      0.00113300435645481, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       997297017 
R squared (OOB):                  0.1534341 

$Forests[[975]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(335000, 368000, 395000,      385000, 375000, 388000, 369000, 398000, 370000, 408000, 390000,      360000, 485000, 455000, 376000, 325000, 325000, 340000, 4e+05,      335000), floor_area_sqm = c(93, 100, 101, 101, 90, 100, 94,      100, 98, 100, 101, 104, 93, 93, 101, 85, 84, 104, 103, 84     ), storey_order = c(5L, 2L, 4L, 3L, 5L, 4L, 5L, 2L, 2L, 4L,      4L, 2L, 7L, 3L, 2L, 1L, 5L, 1L, 3L, 2L), remaining_lease_mths = c(921,      923, 936, 952, 946, 922, 942, 924, 912, 921, 932, 804, 1137,      1139, 948, 830, 812, 869, 796, 796), PROX_CBD = c(10.6321305837804,      10.5911430304609, 10.5347600839054, 10.5394819073022, 10.5038890156487,      10.3133134299625, 10.5038890156487, 10.2027088676681, 10.6430674352334,      10.7481925626994, 10.247812625002, 10.0879656312395, 10.5587309121129,      10.5974154418399, 10.1515839247586, 10.1989356004427, 9.87023127008802,      10.9782438935663, 10.2571858212528, 10.2571858212528), PROX_ELDERLYCARE = c(1.32435226249417,      1.2745451415541, 1.31633228018286, 1.55101586165687, 1.64894906385774,      1.4124150938613, 1.64894906385774, 1.63738856945076, 1.10983952182968,      1.00181077128688, 1.89270432318243, 1.31022889057949, 1.80931542236799,      1.80859644276987, 1.93850967877536, 1.08623091115154, 1.35138892750767,      0.748731634955849, 0.969336561855173, 0.969336561855173),          PROX_HAWKER = c(0.382898898882956, 0.314632743063994,          0.259744380023822, 0.463304434183495, 0.53455823354733,          0.0623262564011618, 0.53455823354733, 0.264427923442986,          0.494234864614673, 0.591883114810231, 0.561647681218514,          0.196699811405185, 0.792644050178693, 0.832920293493618,          0.608980172673109, 0.368744432216956, 0.410023469086153,          0.421987441153261, 0.543600998034675, 0.543600998034675         ), PROX_MRT = c(1.20430491709432, 1.14211364891441, 1.15842683571226,          1.31136747445593, 1.36742764633517, 1.09471398918577,          1.36742764633517, 1.392302848886, 0.91242151857363, 0.80807654444201,          1.63637339364314, 1.09046737609619, 1.33157685526365,          1.28588132880872, 1.73271025710532, 0.78040997284139,          1.23646610314009, 0.516121726350597, 0.5984056038899,          0.5984056038899), PROX_PARK = c(0.852996238213812, 0.997953552798557,          1.00657829367171, 0.594979546415276, 0.486479545769779,          0.826294351272671, 0.486479545769779, 0.728383914708498,          1.09293299728603, 1.13130385684233, 0.443665461164749,          0.604882226694947, 0.251058120460841, 0.248039629274522,          0.464183104254495, 0.808282577864154, 0.375073916060521,          1.01560706627581, 0.690393008756984, 0.690393008756984         ), PROX_GOOD_PRISCH = c(1.09467860924251, 1.15731102426836,          1.12709017589061, 0.89296386953394, 0.819356328881161,          0.993301788551023, 0.819356328881161, 0.689163418131917,          1.4206810513637, 1.51127824976447, 0.550324531917386,          0.87937610392538, 0.819366619188368, 0.856849085387122,          0.447003801568155, 1.199846441039, 0.706117631385061,          1.81228643023267, 1.38840710840139, 1.38840710840139),          PROX_MALL = c(0.512358501951296, 0.441630162720786, 0.464767570965945,          0.357726596913911, 0.3366209001709, 0.450275200033962,          0.3366209001709, 0.12742430838485, 0.220538248250442,          0.114469773448463, 0.190941194230935, 0.441232897113797,          0.516143411126369, 0.562952549426665, 0.217974225134877,          0.663851500718272, 0.445899708163642, 0.231229629812008,          0.638527944164543, 0.638527944164543), PROX_CHAS = c(0.394471723674887,          0.327465416824022, 0.272565000598528, 0.263233285458842,          0.232134688144963, 0.071192987667569, 0.232134688144963,          0.127424254451578, 0.0703959269798554, 0.0793642323922721,          0.190941257524933, 0.177420148260447, 0.236682264577822,          0.235419924819913, 0.217974279370684, 0.0710453772718398,          0.0764125853219005, 0.23122963873357, 0.0819899420632749,          0.0819899420632749), PROX_SUPERMARKET = c(0.447614574279886,          0.441631117888638, 0.464768447350912, 0.263232243208913,          0.232133828519976, 0.330151298165832, 0.232133828519976,          0.129189539659537, 0.220538485726081, 0.114469867006585,          0.19229406714866, 0.320748009942088, 0.236682533577294,          0.23542039277371, 0.216455869736569, 0.00115080458448496,          0.158655939798418, 0.231228589734032, 0.123486578338512,          0.123486578338512), WITHIN_350M_KINDERGARTEN = c(2L,          1L, 1L, 2L, 2L, 1L, 2L, 0L, 0L, 1L, 3L, 0L, 2L, 2L, 1L,          0L, 1L, 2L, 0L, 0L), WITHIN_350M_CHILDCARE = c(3L, 1L,          1L, 6L, 5L, 4L, 5L, 6L, 2L, 4L, 10L, 5L, 7L, 7L, 9L,          4L, 5L, 5L, 2L, 2L), WITHIN_350M_BUS = c(12L, 13L, 15L,          15L, 11L, 15L, 11L, 13L, 13L, 10L, 10L, 11L, 10L, 10L,          10L, 12L, 8L, 9L, 10L, 10L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 4L, 5L, 3L, 3L, 4L,          4L, 5L, 5L, 5L, 5L), DNeighbour = c(0, 167.711909119338,          203.898186692441, 261.161389207274, 370.801080422297,          372.997557028694, 373.576667897348, 445.246615377323,          481.828506940755, 524.05642296132, 575.457348487678,          578.398392977493, 611.556488073206, 637.61483346298,          666.232406740092, 669.950033684988, 767.470441914494,          789.451690868225, 792.840561368792, 793.940626075112)), row.names = c("975",      "718", "577", "769", "942", "513", "734", "771", "627", "866",      "667", "292", "614", "360", "366", "967", "755", "317", "494",      "591"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.912746588369196,      0.872439224675372, 0.795300739474765, 0.611328133428641,      0.607281883721745, 0.606213339135759, 0.469905729733751,      0.399037162501928, 0.318442998255043, 0.225290907885934,      0.220209209274197, 0.165379602812569, 0.126044973736698,      0.0875173671615828, 0.0829168218985333, 0.00429928594486137,      0.000127148616373497, 7.66864169871685e-06, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1350811388 
R squared (OOB):                  0.1737306 

$Forests[[976]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(371000, 349000, 360000,      333000, 420000, 410000, 432000, 415000, 388000, 375000, 365000,      335000, 330000, 380000, 282000, 305000, 435000, 320000, 295000,      320000), floor_area_sqm = c(100, 103, 99, 99, 92, 92, 92,      92, 92, 102, 92, 100, 115, 105, 84, 99, 92, 84, 84, 104),          storey_order = c(2L, 2L, 3L, 3L, 1L, 2L, 4L, 2L, 1L,          3L, 1L, 4L, 1L, 2L, 1L, 4L, 4L, 4L, 4L, 4L), remaining_lease_mths = c(918,          832, 915, 927, 1121, 1136, 1123, 1125, 1134, 932, 1135,          927, 898, 910, 836, 930, 1118, 885, 875, 893), PROX_CBD = c(17.9318121245061,          18.0642207733449, 17.6482187406162, 17.6933534103443,          17.7152334804069, 17.7152334804069, 17.7152334804069,          17.7609329148819, 17.8160591469996, 17.424297644009,          17.8160591469996, 17.5934100264964, 18.4399301385868,          17.589085398281, 18.5087583118065, 17.5508688704121,          17.3261487576713, 18.3433564216417, 18.4249149071789,          18.4249149071789), PROX_ELDERLYCARE = c(0.559180828327224,          0.558648465009425, 0.399377154365588, 0.174626049595048,          0.0982899037000713, 0.0982899037000713, 0.0982899037000713,          0.0656405943898966, 0.101440000613482, 0.332680427012888,          0.101440000613482, 0.183364759720919, 0.789710764787337,          0.387351173411546, 0.855934448185717, 0.169110695114153,          0.0820501598186151, 0.623669944895056, 0.705240184131779,          0.705240184131779), PROX_HAWKER = c(1.18812307179958,          1.20831273824173, 1.11261554439583, 0.89059259132002,          0.815736811633103, 0.815736811633103, 0.815736811633103,          0.769612072642938, 0.755409785256781, 1.2762396177499,          0.755409785256781, 0.860123145519879, 1.26661829972954,          0.776912813652288, 1.00705768005988, 0.736171211400498,          1.11394087375576, 0.960648791795978, 1.0161652570538,          1.0161652570538), PROX_MRT = c(0.256828620430729, 0.387700307898407,          0.417091391951799, 0.606842528225389, 0.674833365376197,          0.674833365376197, 0.674833365376197, 0.714624513867521,          0.729659889526201, 0.484502150769697, 0.729659889526201,          0.675234243169572, 0.715824290886542, 0.371614593402704,          0.534460782086299, 0.804998329325227, 0.527347528775627,          0.899458799363821, 0.906393011935236, 0.906393011935236         ), PROX_PARK = c(1.11695175135574, 1.04306097562022,          1.38656874841243, 1.49905344652453, 1.52614967260321,          1.52614967260321, 1.52614967260321, 1.52091098886828,          1.49250729308795, 1.39102562335911, 1.49250729308795,          1.60355051242194, 0.859791414716402, 0.925923962472294,          0.516289874277036, 1.71737354643835, 1.2769930066147,          1.17596756648915, 1.13759587953072, 1.13759587953072),          PROX_GOOD_PRISCH = c(8.65275846320069, 8.76549326341746,          8.34983568407236, 8.34857469941546, 8.35538963357137,          8.35538963357137, 8.35538963357137, 8.39120163011403,          8.44175881664207, 8.1609833985331, 8.44175881664207,          8.24279341902993, 9.10971468714541, 8.43639308613493,          9.25922423900801, 8.17476856172454, 8.12402124316527,          8.95760590087653, 9.03817471771729, 9.03817471771729),          PROX_MALL = c(0.417130987397582, 0.424594513900518, 0.439097430243665,          0.223321337745784, 0.158599011552442, 0.158599011552442,          0.158599011552442, 0.147411017927622, 0.183177100903513,          0.394560370801339, 0.183177100903513, 0.188384425612312,          0.107021299056373, 0.232188905247248, 0.521454353681198,          0.109574351562212, 0.48073822857487, 0.22079632378696,          0.204519313237763, 0.204519313237763), PROX_CHAS = c(0.259891808560044,          0.124680964632411, 0.414359256629807, 0.21485891447712,          0.158598978424062, 0.158598978424062, 0.158598978424062,          0.14741100268466, 0.183177099178452, 0.265229996652697,          0.183177099178452, 0.151781240761386, 0.107021320216693,          0.0713809516165408, 0.521454374874156, 0.048268048492383,          0.111581872390774, 0.167893491583302, 0.20451929737041,          0.20451929737041), PROX_SUPERMARKET = c(0.438907970807184,          0.424593495373258, 0.441697647833666, 0.218378438252518,          0.144345834884574, 0.144345834884574, 0.144345834884574,          0.113022549454425, 0.137568853383185, 0.265230176390619,          0.137568853383185, 0.209139790637019, 0.107021556198121,          0.238177195426237, 0.521454611985023, 0.15801430638391,          0.111582815761828, 0.220795796105544, 0.204519239868594,          0.204519239868594), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 0L,          1L, 1L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 2L,          3L, 5L, 6L, 6L, 6L, 8L, 8L, 2L, 8L, 6L, 4L, 2L, 1L, 7L,          3L, 8L, 7L, 7L), WITHIN_350M_BUS = c(9L, 7L, 9L, 13L,          12L, 12L, 12L, 10L, 15L, 9L, 15L, 12L, 7L, 8L, 4L, 12L,          8L, 8L, 9L, 9L), WITHIN_1KM_PRISCH = c(7L, 6L, 7L, 8L,          7L, 7L, 7L, 6L, 6L, 5L, 6L, 8L, 3L, 5L, 4L, 6L, 5L, 4L,          4L, 4L), DNeighbour = c(0, 159.68962641704, 315.832694804141,          423.971403001751, 470.74153246949, 473.654713349634,          477.715190957447, 499.254653131327, 500.613756946122,          504.14768126879, 507.970940271774, 510.396314895166,          548.852304117203, 606.240771038509, 608.23893491875,          641.441167217702, 656.718027681029, 658.566802726516,          709.802368770097, 716.447706881197)), row.names = c("976",      "773", "891", "112", "289", "13", "298", "365", "53", "736",      "402", "419", "247", "464", "393", "438", "372", "953", "265",      "738"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.903107487394552,      0.649100307932457, 0.422252622817927, 0.322949082725384,      0.316885953276463, 0.308469556737701, 0.264611305099444,      0.261894605224106, 0.254862274497452, 0.247307454589749,      0.242544717084104, 0.170676307583982, 0.0806482611418527,      0.0779853925501039, 0.0393721138708669, 0.0255322031845184,      0.0240407043342828, 0.000340947521739669, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1338694302 
R squared (OOB):                  0.370073 

$Forests[[977]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(505000, 475000, 540000,      5e+05, 510000, 380000, 490000, 505000, 495000, 540000, 433000,      376000, 420000, 565000, 575000, 580000, 520000, 580000, 548888,      348000), floor_area_sqm = c(90, 90, 90, 92, 93, 92, 92, 92,      93, 93, 92, 102, 93, 92, 92, 92, 92, 92, 92, 100), storey_order = c(6L,      5L, 3L, 3L, 3L, 1L, 3L, 4L, 3L, 4L, 4L, 5L, 2L, 3L, 4L, 4L,      1L, 4L, 2L, 3L), remaining_lease_mths = c(1033, 1031, 1067,      1049, 1076, 1037, 1038, 1051, 1076, 1075, 1084, 944, 1099,      1127, 1137, 1140, 1138, 1134, 1130, 938), PROX_CBD = c(11.6571985599938,      11.780035597066, 11.5237533038112, 11.4975151935682, 11.734228152501,      11.6419253241709, 11.6213283462416, 11.4388659085475, 11.7824349405223,      11.8019303594103, 11.8702915361943, 11.9885535057438, 11.8999896789117,      11.6525204845234, 11.6525204845234, 11.6525204845234, 11.6952918230505,      11.7494815193957, 11.7494815193957, 11.8646943012694), PROX_ELDERLYCARE = c(0.400746835300904,      0.389019901488026, 0.374021376468387, 0.485429735975203,      0.217445500321488, 0.626216066088841, 0.621923465733728,      0.529438756707198, 0.213047345375207, 0.184707688528033,      0.670900780040593, 0.468647269590137, 0.790393757138983,      0.090696724945174, 0.090696724945174, 0.090696724945174,      0.0818897866131208, 0.0736890817471424, 0.0736890817471424,      0.893707553155367), PROX_HAWKER = c(0.38372613736418, 0.475091880549249,      0.235307086042243, 0.320302217757218, 0.366555491930585,      0.553081930127745, 0.537052085835962, 0.319632581294072,      0.411134055372247, 0.425288384889406, 0.715369360111721,      0.661637750611862, 0.820501997631561, 0.325622570567264,      0.325622570567264, 0.325622570567264, 0.374319678668878,      0.418792449609449, 0.418792449609449, 0.888626336009462),          PROX_MRT = c(0.187661086924798, 0.149757666469573, 0.148196296616071,          0.24936700359253, 0.276453864170284, 0.168432978085695,          0.182944945438028, 0.264110896255266, 0.323171872402698,          0.341923672362566, 0.146531371307633, 0.253577460439113,          0.261250382411254, 0.219824289848129, 0.219824289848129,          0.219824289848129, 0.18359152527436, 0.183595482094196,          0.183595482094196, 0.214047355776769), PROX_PARK = c(0.822874314333037,          0.915827670442916, 0.808531626238996, 0.698336840868775,          1.00928973198994, 0.654970873229416, 0.643411448820926,          0.653351036954048, 1.04913519120928, 1.09015045463689,          0.8322137924942, 0.965214735166117, 0.813614799778521,          1.18955170998222, 1.18955170998222, 1.18955170998222,          1.23082333360032, 1.25382465781663, 1.25382465781663,          0.747986195716587), PROX_GOOD_PRISCH = c(2.58492752090912,          2.67648686403773, 2.43173748992112, 2.48345794754568,          2.54247396470066, 2.71543842399088, 2.69528593883292,          2.45055199705462, 2.5757070458522, 2.57167610218627,          2.91053685401804, 2.84793008582659, 3.00567179865442,          2.3279627535371, 2.3279627535371, 2.3279627535371, 2.35260315569007,          2.40225451049103, 2.40225451049103, 3.05097986431403),          PROX_MALL = c(0.718523422751835, 0.657761426948524, 0.840908486660855,          0.805279144871904, 0.781937846313192, 0.576398809288588,          0.597386337892971, 0.840491697823826, 0.732391369928616,          0.70263709534569, 0.385092319171944, 0.581599658792334,          0.283076960540796, 0.807719243520252, 0.807719243520252,          0.807719243520252, 0.785373664552542, 0.730910693989521,          0.730910693989521, 0.265637621954407), PROX_CHAS = c(0.162236141473446,          0.165734916528407, 0.0822817354855642, 0.18789773503711,          0.203102352137365, 0.118628580179885, 0.130352204164602,          0.210772889992189, 0.182294192745256, 0.144895120017984,          0.179381733260264, 0.0548782345589675, 0.283076936045466,          0.162428164506486, 0.162428164506486, 0.162428164506486,          0.141926234339659, 0.105514964386053, 0.105514964386053,          0.265637621677666), PROX_SUPERMARKET = c(0.248678179468178,          0.328761363845442, 0.113409172087645, 0.186124684843571,          0.206717744357565, 0.0879874709963817, 0.0679201472407272,          0.189609627596398, 0.186528474083994, 0.149354766345577,          0.31749021679057, 0.41771106664497, 0.236972988988714,          0.158766807317564, 0.158766807317564, 0.158766807317564,          0.137537075296593, 0.100761764224213, 0.100761764224213,          0.211091622880127), WITHIN_350M_KINDERGARTEN = c(0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 0L, 0L), WITHIN_350M_CHILDCARE = c(8L, 9L,          4L, 4L, 8L, 6L, 6L, 4L, 8L, 7L, 9L, 6L, 7L, 4L, 4L, 4L,          4L, 5L, 5L, 7L), WITHIN_350M_BUS = c(9L, 8L, 5L, 8L,          10L, 8L, 8L, 7L, 11L, 13L, 10L, 14L, 9L, 11L, 11L, 11L,          13L, 14L, 14L, 8L), WITHIN_1KM_PRISCH = c(5L, 6L, 4L,          4L, 5L, 5L, 6L, 5L, 7L, 6L, 5L, 7L, 5L, 6L, 6L, 6L, 6L,          6L, 6L, 5L), DNeighbour = c(0, 118.187340139962, 156.012254677146,          168.730454308734, 196.147604239782, 217.594678593708,          218.918713650955, 223.068412479193, 227.952862609755,          268.630618523029, 333.590772353044, 335.089043722262,          441.342229578613, 448.620302641761, 453.87893515478,          455.075940997498, 473.276661471237, 475.988648150204,          483.826146915508, 525.246938036327)), row.names = c("977",      "263", "652", "553", "409", "421", "89", "271", "260", "342",      "110", "486", "185", "557", "580", "792", "917", "281", "808",      "232"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.901301862573835,      0.831334131880807, 0.804258680545263, 0.740535007076173,      0.686212387253604, 0.68274597853877, 0.671803692534904, 0.658777540543888,      0.545282393475531, 0.355970234098298, 0.351650124444842,      0.0864176387492424, 0.0731652582557595, 0.0641549283331172,      0.0621726607933313, 0.0353812038570311, 0.031957816386629,      0.0229523895606342, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2067501939 
R squared (OOB):                  0.5760479 

$Forests[[978]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(533000, 649888, 566888,      8e+05, 530000, 795888, 4e+05, 413888, 745000, 810000, 7e+05,      495000, 685000, 840000, 682000, 755000, 750000, 745000, 408000,      825000), floor_area_sqm = c(88, 87, 88, 105, 118, 95, 92,      88, 90, 90, 95, 91, 85, 87, 100, 90, 90, 100, 84, 87), storey_order = c(1L,      3L, 8L, 6L, 2L, 7L, 1L, 2L, 7L, 10L, 3L, 3L, 4L, 14L, 10L,      5L, 11L, 10L, 6L, 5L), remaining_lease_mths = c(653, 1103,      650, 938, 594, 1140, 555, 668, 1057, 1045, 1100, 648, 1038,      1141, 1120, 1038, 1035, 1122, 647, 1136), PROX_CBD = c(6.92829321613491,      7.02256530608061, 6.76124856282603, 6.53309552941355, 6.1023364257416,      6.26284978479934, 5.99479776583207, 7.88501742637481, 6.0390103189171,      5.99670752478149, 7.97001655790022, 5.90960582305016, 4.89531124268982,      4.70219035054856, 9.28682806708392, 4.88070069409732, 4.88070069409732,      9.28682806708392, 5.38657645344473, 4.59114385332588), PROX_ELDERLYCARE = c(0.389684735109723,      0.467453442926814, 0.20742531007413, 0.112238297630375, 0.14668864145384,      0.69800247969724, 0.420516157550055, 0.487583248392117, 0.798119493593788,      0.788986586736525, 0.682273370470252, 1.51538883702403, 0.307888742732217,      0.200702517977741, 0.306248896776786, 0.312658206579851,      0.312658206579851, 0.306248896776786, 0.465891927060243,      0.125633226962327), PROX_HAWKER = c(0.133504850959355, 0.207247650371579,      0.171967883722699, 0.357983508144609, 0.107292567178633,      0.130331819855385, 0.295460487376037, 0.645875214067525,      0.151348144296069, 0.199496524550099, 0.840126401207934,      0.358173289653819, 0.546104933523636, 0.646528219825606,      0.449541776391294, 0.595417483526792, 0.595417483526792,      0.449541776391294, 0.351855498276287, 0.762382071136897),          PROX_MRT = c(0.407218977151475, 0.409658939160285, 0.31120761671675,          0.404028215814371, 0.649340944892975, 0.132116935816272,          0.305306521480229, 0.707952731476156, 0.225262429159589,          0.226103982865864, 0.726942522279936, 0.107293182941521,          0.275254866694397, 0.491479629856663, 0.819017740329599,          0.314337158810329, 0.314337158810329, 0.819017740329599,          0.675587286197546, 0.586728793826683), PROX_PARK = c(0.377410917604964,          0.380160428577633, 0.273246118986377, 0.407986988455317,          0.711925115709351, 0.742212481577902, 0.990750186553446,          0.511064020035708, 0.921128796109604, 0.97332058707081,          0.618444971248099, 0.242854512033048, 1.60860995669454,          1.77379186206272, 0.754667699158598, 1.53366372097489,          1.53366372097489, 0.754667699158598, 1.05249384295472,          1.65596921250538), PROX_GOOD_PRISCH = c(2.0639866413545,          2.07008813823767, 1.9155109693321, 1.86607127862969,          1.64363723354824, 2.39901634170637, 2.01228232098645,          2.82520953766913, 2.45094763896652, 2.41026804261554,          2.78644315018514, 0.280669099407447, 2.96671225712824,          2.79995758206102, 1.50498632547922, 3.0451226436528,          3.0451226436528, 1.50498632547922, 3.52335384407219,          2.86977258716747), PROX_MALL = c(0.352244010010256, 0.395390786334096,          0.191774654856939, 0.26702131219094, 0.58741271025502,          0.965908348364742, 0.848644658978131, 0.535655644340599,          1.15586968043917, 1.14826594162738, 0.66906173274608,          1.58703862644467, 0.696065710972082, 0.970860317849455,          0.732362808464395, 0.63262312230698, 0.63262312230698,          0.732362808464395, 0.184401966361696, 0.992224857230604         ), PROX_CHAS = c(0.180332756228222, 0.278446199404133,          0.19177461752976, 0.144966662256637, 0.142011209366223,          0.0879111496245458, 0.262677718190406, 0.102679570293108,          0.103484302768675, 0.157172829578474, 0.195243012850588,          0.370138139733765, 0.22404402777184, 0.0639130956899198,          0.30624919123722, 0.278004299073392, 0.278004299073392,          0.30624919123722, 0.131272369045618, 0.156405874770629         ), PROX_SUPERMARKET = c(0.0762755382886037, 0.0888694671696128,          0.113049768890948, 0.26343506825427, 0.585686837888717,          0.0879117778441782, 0.3581952061826, 0.158953339299884,          0.198926203527595, 0.212384620357781, 0.169510705521186,          0.644143855185467, 0.224044642536509, 0.0639125072278545,          0.309780650655361, 0.278004958714438, 0.278004958714438,          0.309780650655361, 0.182486832055582, 0.156405662038775         ), WITHIN_350M_KINDERGARTEN = c(1L, 0L, 1L, 1L, 1L, 2L,          1L, 1L, 3L, 3L, 1L, 1L, 5L, 2L, 0L, 5L, 5L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(5L, 3L, 4L, 5L, 2L, 3L,          1L, 1L, 3L, 3L, 0L, 2L, 4L, 4L, 1L, 5L, 5L, 1L, 1L, 3L         ), WITHIN_350M_BUS = c(7L, 10L, 8L, 3L, 5L, 5L, 8L, 5L,          9L, 10L, 7L, 5L, 9L, 7L, 7L, 8L, 8L, 7L, 8L, 7L), WITHIN_1KM_PRISCH = c(0L,          0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 1L, 1L), DNeighbour = c(0, 103.564892750779,          192.124194653732, 406.224511782789, 843.982096247759,          929.868081768315, 974.961910996476, 1079.60906228877,          1162.51083993119, 1171.75805812865, 1243.1642748039,          1938.32041275843, 2377.1342477344, 2421.82801361661,          2431.11240112383, 2433.34839247425, 2435.42973937046,          2436.18622616295, 2482.43229491386, 2536.05226786625)), row.names = c("978",      "221", "834", "81", "18", "562", "413", "338", "832", "379",      "904", "226", "916", "854", "794", "982", "39", "308", "130",      "333"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996667451833085,      0.988554634054139, 0.949343133114696, 0.790762690391545,      0.749195304771901, 0.726253851141248, 0.670393502252332,      0.623902595282075, 0.618611929355027, 0.577155127117748,      0.172919635667362, 0.0147380489199345, 0.0077531097814224,      0.00656848680650482, 0.00629722033547324, 0.00604963811436397,      0.00596083054130435, 0.00175051390933031, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10002450708 
R squared (OOB):                  0.5419766 

$Forests[[979]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(490888, 420000, 530000,      455000, 460000, 525000, 475000, 415000, 437000, 398000, 455000,      460000, 495000, 465000, 450000, 465000, 412000, 485000, 470000,      450000), floor_area_sqm = c(93, 93, 95, 93, 92, 97, 92, 93,      93, 93, 92, 92, 93, 90, 90, 95, 90, 95, 93, 95), storey_order = c(5L,      1L, 4L, 4L, 3L, 3L, 5L, 2L, 2L, 1L, 5L, 3L, 5L, 5L, 2L, 4L,      3L, 6L, 5L, 3L), remaining_lease_mths = c(1141, 1101, 1106,      1096, 1107, 1098, 1098, 1071, 1076, 1077, 1108, 1097, 1080,      1132, 1134, 1110, 1034, 1113, 1125, 1126), PROX_CBD = c(14.4799585140632,      14.3298082323417, 14.4087790426081, 14.3469943525049, 14.2518409016409,      14.3488328635023, 14.3437499696049, 14.2040057462849, 14.2040057462849,      14.2040057462849, 14.2694643570804, 14.2694643570804, 14.2035293519974,      14.6796515041342, 14.6796515041342, 14.3101587663686, 13.9701294998534,      14.2445424628862, 14.2374266118925, 14.1366846915735), PROX_ELDERLYCARE = c(1.06862824267944,      0.943112693551276, 0.87860471100088, 1.07571195137499, 0.985840321219444,      0.805205193908325, 1.14464302293932, 0.732225931930739, 0.732225931930739,      0.732225931930739, 1.14423906696184, 1.14423906696184, 0.685279068417721,      1.45102259724198, 1.45102259724198, 1.29024298571696, 0.798789790509628,      1.24643506877499, 1.2819446304668, 1.17371591683522), PROX_HAWKER = c(0.462243392197612,      0.494981643036057, 0.295591155505828, 0.654543769257927,      0.656651462258042, 0.28631929470226, 0.74882220835846, 0.429643877236979,      0.429643877236979, 0.429643877236979, 0.826638245470088,      0.826638245470088, 0.384064154962602, 0.836784965651702,      0.836784965651702, 0.961388959141492, 0.796241674024292,      0.968852406622053, 1.02089221118434, 1.09084844555913), PROX_MRT = c(0.082651796212049,      0.122691316210064, 0.258499173090988, 0.131478587775223,      0.189142279194464, 0.320519516131068, 0.217663394995295,      0.339881548667158, 0.339881548667158, 0.339881548667158,      0.30438768875815, 0.30438768875815, 0.289240493397468, 0.391052893274669,      0.391052893274669, 0.148967878322013, 0.262922949537813,      0.184117552261459, 0.148741201515391, 0.218319465176875),          PROX_PARK = c(0.682350458092963, 0.760551135167525, 0.572778275466331,          0.731552922713316, 0.785709089572823, 0.585388118838944,          0.636899975343007, 0.735378016798131, 0.735378016798131,          0.735378016798131, 0.599699049952129, 0.599699049952129,          0.69423802629866, 0.566439778554251, 0.566439778554251,          0.444639968372477, 0.929619749314005, 0.481320095248247,          0.440474428767772, 0.474063272255088), PROX_GOOD_PRISCH = c(5.20136656590841,          5.05687720866847, 5.07040230577432, 5.13548460888622,          5.03443000866885, 4.99658730632735, 5.1680916684458,          4.87692111553996, 4.87692111553996, 4.87692111553996,          5.12184985907385, 5.12184985907385, 4.84858590291698,          5.51577006817018, 5.51577006817018, 5.21803047984022,          4.76155598853922, 5.1542412945362, 5.16870486361587,          5.09375212835948), PROX_MALL = c(0.64848155368644, 0.644100917109673,          0.48422641650143, 0.480981762762808, 0.535261743386166,          0.415696526053807, 0.38589862433106, 0.458083927679449,          0.458083927679449, 0.458083927679449, 0.351657486288216,          0.351657486288216, 0.37351280301214, 0.38618207223371,          0.38618207223371, 0.199960318099191, 0.698652085628877,          0.248497232357685, 0.22058685557285, 0.295276560881227         ), PROX_CHAS = c(0.149921511006425, 0.116678641770301,          0.263312743704905, 0.0578525184286013, 0.121511881264649,          0.232702657922268, 0.0401042229543167, 0.0920652608940773,          0.0920652608940773, 0.0920652608940773, 0.120456720485379,          0.120456720485379, 0.170907589664044, 0.367772140885018,          0.367772140885018, 0.199960275799137, 0.224338502615803,          0.185564313785613, 0.177995101264401, 0.0995517477546361         ), PROX_SUPERMARKET = c(0.149922203205158, 0.116679779166118,          0.263313051629592, 0.0704323341151683, 0.121511691834874,          0.232703172737007, 0.165776473264822, 0.0920659899308881,          0.0920659899308881, 0.0920659899308881, 0.244158473149448,          0.244158473149448, 0.170908382081647, 0.0442147517112349,          0.0442147517112349, 0.199173279096103, 0.281017798180362,          0.185564776027004, 0.177995229543633, 0.0995512052866983         ), WITHIN_350M_KINDERGARTEN = c(1L, 2L, 1L, 1L, 2L, 1L,          1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(6L, 7L, 6L, 7L, 10L, 6L,          8L, 5L, 5L, 5L, 10L, 10L, 5L, 4L, 4L, 8L, 7L, 9L, 8L,          8L), WITHIN_350M_BUS = c(6L, 9L, 10L, 8L, 9L, 9L, 8L,          9L, 9L, 9L, 9L, 9L, 9L, 4L, 4L, 6L, 13L, 7L, 6L, 8L),          WITHIN_1KM_PRISCH = c(4L, 5L, 5L, 4L, 6L, 6L, 5L, 5L,          5L, 5L, 6L, 6L, 5L, 4L, 4L, 7L, 8L, 7L, 7L, 7L), DNeighbour = c(0,          159.273782713793, 211.864535478552, 212.255873810994,          269.224774303169, 283.123916933789, 300.196046732164,          338.365357807451, 340.674776269717, 342.156149256508,          383.376942246865, 388.139231902357, 393.60629033175,          410.049949421497, 415.552220683251, 511.426927654199,          521.80574828581, 525.738857037639, 576.599709910366,          653.746072858578)), row.names = c("979", "688", "969",      "488", "73", "363", "70", "272", "911", "448", "470", "434",      "66", "996", "405", "142", "301", "349", "537", "76"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.88480964935781, 0.80097780315866, 0.800282827847673, 0.689573233967914,      0.66006246866813, 0.622743817572844, 0.535987673163406, 0.530628502330995,      0.527185965532902, 0.430465530286559, 0.419258586787427,      0.406408523343884, 0.367940499517907, 0.355158711384886,      0.150546653599961, 0.13170500567995, 0.124800786993837, 0.0493229348222676,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       652737278 
R squared (OOB):                  0.4571894 

$Forests[[980]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(320800, 315000, 315000,      310000, 310000, 355000, 302500, 320000, 310000, 340000, 402000,      370000, 275000, 315000, 313000, 318000, 350000, 358000, 416000,      327000), floor_area_sqm = c(92, 97, 91, 91, 96, 93, 93, 93,      84, 91, 93, 93, 84, 104, 84, 84, 91, 91, 98, 84), storey_order = c(1L,      3L, 3L, 3L, 1L, 4L, 2L, 3L, 3L, 2L, 4L, 1L, 1L, 4L, 4L, 1L,      1L, 1L, 4L, 1L), remaining_lease_mths = c(965, 746, 774,      774, 772, 761, 764, 762, 806, 782, 762, 782, 807, 777, 772,      785, 957, 760, 779, 802), PROX_CBD = c(16.3149444157129,      16.179026897848, 16.1626205207603, 16.3680873997092, 16.0124832316584,      16.1297617902268, 15.7384939989151, 15.7384939989151, 16.5546706157429,      16.0688727275577, 15.8715793299193, 15.9422949327985, 15.555826242216,      15.5029529482698, 15.5029529482698, 15.4237712873611, 16.4034806336055,      15.6053010835868, 16.1674221276903, 15.395293903354), PROX_ELDERLYCARE = c(1.76400828031834,      1.73064849730919, 1.55788424655444, 1.42545230549203, 1.41328722649904,      1.29938230642316, 1.81389464514152, 1.81389464514152, 1.28388145020366,      1.20623153653763, 1.28212929908789, 1.09392979000114, 1.98144426857027,      1.60634233373903, 1.60634233373903, 1.66429806880172, 0.839978570407226,      1.18278326755006, 0.762025473923165, 1.48326161455178), PROX_HAWKER = c(0.267171899978326,      0.141690035201285, 0.113648031708615, 0.369132496020862,      0.231474226543029, 0.335840869363962, 0.367446283592148,      0.367446283592148, 0.634516033073404, 0.426544691499688,      0.428166805124, 0.571238530927929, 0.587918588004233, 0.592613874358246,      0.592613874358246, 0.663653920640621, 0.889236545198411,      0.745618024005524, 0.872582424517839, 0.763118949388798),          PROX_MRT = c(0.980548762507945, 0.887672461516919, 0.733071345608223,          0.767751604782153, 0.526610558032509, 0.514969181151661,          0.817431272071058, 0.817431272071058, 0.786543604226707,          0.406145228037129, 0.326170963259121, 0.22642613478059,          0.961984472446029, 0.579811001445256, 0.579811001445256,          0.641519249244255, 0.660139833101166, 0.180817781363956,          0.447065767326062, 0.486709870425329), PROX_PARK = c(0.504828773517413,          0.539742315344257, 0.622244080025509, 0.655349613079545,          0.641040622161513, 0.709135847201637, 0.197322246351151,          0.197322246351151, 0.413578796610442, 0.697314652170583,          0.729541055973412, 0.749126986336644, 0.155244626205508,          0.518465718930498, 0.518465718930498, 0.527546900647844,          0.251028276822116, 0.580682002012541, 0.490935310554108,          0.736647900507106), PROX_GOOD_PRISCH = c(6.672975925328,          6.53838177865997, 6.53246509089368, 6.74866006620563,          6.39414010271149, 6.52049985370614, 6.09593783675615,          6.09593783675615, 6.95112153433386, 6.46919552361138,          6.26806838260706, 6.35759010380229, 5.90755023148013,          5.8805780078001, 5.8805780078001, 5.79932453842233, 6.84769610957781,          6.02648848177283, 6.62018800412964, 5.79164197089728),          PROX_MALL = c(0.965701391482886, 0.960112961135972, 0.800586392071248,          0.812249060303789, 0.598952481573277, 0.568960814514176,          0.906877360376741, 0.906877360376741, 0.809678350084408,          0.45653839484425, 0.405953132327172, 0.275355858531219,          1.05229171505891, 0.667352945771092, 0.667352945771092,          0.726704111983395, 0.630333401213655, 0.252610517585887,          0.402318259451987, 0.561468969675593), PROX_CHAS = c(0.215258950862385,          0.0821179618758864, 0.107377285719627, 0.317481852326526,          0.191204296760245, 0.215228497760129, 0.184740133551779,          0.184740133551779, 0.102023856475547, 0.123235071398074,          0.170717118999449, 0.101928728560798, 0.0651877268759985,          0.128101303359069, 0.128101303359069, 0.11942955396425,          0.142060383584178, 0.0925674017483885, 0.277543603442508,          0.1019571402223), PROX_SUPERMARKET = c(0.357579925001748,          0.224545288466622, 0.191669323632479, 0.442251956603444,          0.214004200599592, 0.353026966783941, 0.287892528450529,          0.287892528450529, 0.57240719914765, 0.399183655269817,          0.323117190327721, 0.218983947734938, 0.511049564140858,          0.314517101025506, 0.314517101025506, 0.307102160965552,          0.142061131074292, 0.188530812320699, 0.277543419111335,          0.0953919744611677), WITHIN_350M_KINDERGARTEN = c(1L,          3L, 3L, 1L, 3L, 1L, 3L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L,          1L, 2L, 1L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 3L,          5L, 2L, 4L, 3L, 7L, 7L, 2L, 3L, 2L, 2L, 6L, 2L, 2L, 3L,          3L, 5L, 3L, 2L), WITHIN_350M_BUS = c(8L, 8L, 9L, 8L,          8L, 8L, 10L, 10L, 10L, 9L, 8L, 8L, 7L, 10L, 10L, 11L,          7L, 10L, 6L, 9L), WITHIN_1KM_PRISCH = c(3L, 3L, 4L, 4L,          4L, 4L, 3L, 3L, 5L, 4L, 4L, 4L, 1L, 3L, 3L, 4L, 4L, 4L,          5L, 4L), DNeighbour = c(0, 132.085962510965, 241.871169072875,          351.720224727572, 453.344505704826, 487.936147509314,          574.139427951531, 578.348469249525, 589.300451539633,          600.603321599447, 665.839068883456, 767.592163885046,          768.146809511018, 850.871429546253, 852.145971522942,          916.592669852078, 955.552298080986, 990.52459584556,          999.590415340073, 1025.53122865734)), row.names = c("980",      "336", "335", "198", "740", "184", "437", "803", "22", "804",      "294", "708", "426", "162", "587", "293", "206", "143", "351",      "556"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.967097544717794,      0.891844042860568, 0.778586946370093, 0.647356271382771,      0.598495847812247, 0.471381930059136, 0.465069784477039,      0.448633364666556, 0.431666060959135, 0.334613750386522,      0.193401142564125, 0.192689446375522, 0.0971051878821299,      0.0958231935335595, 0.0404689146547949, 0.0173757923223736,      0.00450308585010017, 0.00249501894993142, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       640986734 
R squared (OOB):                  0.4534371 

$Forests[[981]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(250000, 270000, 255000,      275000, 265000, 245000, 359900, 355000, 370000, 3e+05, 298000,      303888, 330000, 350000, 303000, 279000, 297000, 325000, 305000,      316000), floor_area_sqm = c(97, 97, 91, 98, 91, 88, 93, 93,      93, 96, 93, 93, 103, 103, 92, 91, 91, 91, 91, 92), storey_order = c(4L,      2L, 4L, 4L, 2L, 2L, 3L, 3L, 5L, 4L, 1L, 2L, 2L, 4L, 1L, 2L,      3L, 4L, 4L, 3L), remaining_lease_mths = c(708, 687, 686,      689, 724, 668, 1117, 1111, 1106, 791, 777, 782, 773, 768,      794, 801, 788, 780, 791, 781), PROX_CBD = c(19.2477081153014,      19.1998859465191, 19.1428796063974, 19.3611499271018, 19.4237844042343,      18.8842060529579, 18.8127816342995, 18.8127816342995, 18.8127816342995,      18.5761736305699, 18.5252470382495, 18.5252470382495, 18.4499801912104,      18.3186881593276, 18.2139172788048, 18.2989051402725, 18.1476771148045,      18.1476771148045, 18.2610111258248, 18.2234963781047), PROX_ELDERLYCARE = c(0.533620939869422,      0.482976337773198, 0.457204003422965, 0.67405856369397, 0.695760303539868,      0.229103995883471, 0.176499517448139, 0.176499517448139,      0.176499517448139, 0.0638277150498875, 0.449194476018676,      0.449194476018676, 0.504778052376495, 0.586525817031338,      0.649170232100017, 0.397078044127006, 0.519546459890619,      0.519546459890619, 0.421521882373529, 0.448333702611612),          PROX_HAWKER = c(0.435575948420033, 0.407382567332432,          0.491246203286744, 0.578426076793613, 0.430278742731878,          0.280513302960552, 0.325560722493799, 0.325560722493799,          0.325560722493799, 0.562029876499453, 0.69553534809229,          0.69553534809229, 0.652207052169444, 0.564283191409187,          0.488031980714328, 0.491047773869601, 0.209390724873544,          0.209390724873544, 0.453171307776496, 0.416527045274471         ), PROX_MRT = c(1.17336842789895, 1.13705578024219, 1.0490560030484,          1.24242318119045, 1.37619150821735, 1.03601464731326,          1.04083770509984, 1.04083770509984, 1.04083770509984,          0.874368880716004, 0.398456142880405, 0.398456142880405,          0.322534237265928, 0.220618943711049, 0.192826481399443,          0.552168886353884, 0.491311596778589, 0.491311596778589,          0.547550551918807, 0.545975779093886), PROX_PARK = c(0.715290586226954,          0.708199402424467, 0.602588748705797, 0.694921724836528,          0.899998771522662, 0.579556587207627, 0.51923222906617,          0.51923222906617, 0.51923222906617, 0.287868908027907,          0.491317901173298, 0.491317901173298, 0.536975621309476,          0.548488124002706, 0.532358306258428, 0.287159802467115,          0.270911567278729, 0.270911567278729, 0.272660801967067,          0.264257474455249), PROX_GOOD_PRISCH = c(10.2559210914134,          10.205087741046, 10.1724586401982, 10.393420977377, 10.4013344251086,          9.83133063879426, 9.7422556358987, 9.7422556358987, 9.7422556358987,          9.51590189269927, 9.63394268044443, 9.63394268044443,          9.56762880935522, 9.44179125712709, 9.33501569353139,          9.19982386356694, 9.18618174729203, 9.18618174729203,          9.16752282736586, 9.1355701416359), PROX_MALL = c(1.28177138580973,          1.23204265332191, 1.19002137667581, 1.41164243574585,          1.44800971701603, 0.91348864249693, 0.856774663098642,          0.856774663098642, 0.856774663098642, 0.624506085881379,          0.705200807731176, 0.705200807731176, 0.662291407978718,          0.574856358668165, 0.498813518897969, 0.486326630506135,          0.218975149940797, 0.218975149940797, 0.448092738738542,          0.411037179701155), PROX_CHAS = c(0.34509608786971, 0.377747950290313,          0.472048134528426, 0.346579909600863, 0.141128343720225,          0.241229981070425, 0.2593611752042, 0.2593611752042,          0.2593611752042, 0.0792988689034794, 0.240425442805127,          0.240425442805127, 0.201478871858691, 0.141159289664064,          0.0363398547195702, 0.0660681856594747, 0.218975205360203,          0.218975205360203, 0.0964740211655948, 0.132763801624598         ), PROX_SUPERMARKET = c(1.16090501353567, 1.12464344461301,          1.03656246660954, 1.22987785443232, 1.36375821567757,          0.911876453557648, 0.856773769273042, 0.856773769273042,          0.856773769273042, 0.625539331690589, 0.386130046709882,          0.386130046709882, 0.310351384739933, 0.210011389308567,          0.186956242757619, 0.490326509583637, 0.206881250620068,          0.206881250620068, 0.457654559995222, 0.421116980529575         ), WITHIN_350M_KINDERGARTEN = c(2L, 2L, 2L, 2L, 1L, 0L,          0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(2L, 2L, 2L, 2L, 0L, 1L,          1L, 1L, 1L, 2L, 1L, 1L, 2L, 4L, 5L, 2L, 3L, 3L, 2L, 2L         ), WITHIN_350M_BUS = c(9L, 10L, 6L, 8L, 6L, 13L, 16L,          16L, 16L, 10L, 8L, 8L, 9L, 10L, 9L, 6L, 7L, 7L, 6L, 6L         ), WITHIN_1KM_PRISCH = c(0L, 1L, 1L, 0L, 0L, 1L, 1L,          1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 3L, 4L, 4L),          DNeighbour = c(0, 44.1943190305349, 125.993044801381,          163.147188338794, 207.409615306615, 458.425194171246,          565.867257596445, 569.228321243612, 574.08192368404,          755.427811673511, 774.152307530188, 776.577896159909,          848.939820144852, 970.930373918226, 1064.68673652063,          1091.0792453733, 1096.93146124286, 1102.63698562494,          1116.63598322815, 1139.19942103243)), row.names = c("981",      "193", "484", "972", "2", "96", "604", "418", "637", "78",      "11", "106", "810", "367", "481", "433", "827", "944", "905",      "202"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.996992286603847,      0.975685835527381, 0.959401213733643, 0.934802652546892,      0.70235499511072, 0.56740913601498, 0.562988960301036, 0.55659058828565,      0.313902095754133, 0.289659943288637, 0.286548534175126,      0.197727811685613, 0.0748562019231097, 0.0160117836197288,      0.00683870147409059, 0.00530417675462652, 0.00398913786138527,      0.00153824791449214, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       610046159 
R squared (OOB):                  0.5619973 

$Forests[[982]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(755000, 750000, 685000,      840000, 825000, 820000, 552000, 620000, 408000, 805000, 472000,      530000, 688000, 810000, 745000, 580000, 4e+05, 438888, 795888,      530000), floor_area_sqm = c(90, 90, 85, 87, 87, 87, 100,      102, 84, 104, 84, 111, 85, 90, 90, 100, 92, 80, 95, 118),          storey_order = c(5L, 11L, 4L, 14L, 5L, 9L, 1L, 3L, 6L,          3L, 2L, 1L, 4L, 10L, 7L, 4L, 1L, 4L, 7L, 2L), remaining_lease_mths = c(1038,          1035, 1038, 1141, 1136, 1136, 910, 908, 647, 919, 799,          767, 964, 1045, 1057, 1013, 555, 601, 1140, 594), PROX_CBD = c(4.88070069409732,          4.88070069409732, 4.89531124268982, 4.70219035054856,          4.59114385332588, 4.59114385332588, 4.64904487497998,          4.95292174150019, 5.38657645344473, 4.1456930527125,          4.27761841825855, 4.3501519248406, 3.98134497452694,          5.99670752478149, 6.0390103189171, 4.79843685927635,          5.99479776583207, 3.37234644442932, 6.26284978479934,          6.1023364257416), PROX_ELDERLYCARE = c(0.312658206579851,          0.312658206579851, 0.307888742732217, 0.200702517977741,          0.125633226962327, 0.125633226962327, 0.374326446996408,          0.0718437191527097, 0.465891927060243, 0.45180890917037,          0.0937624362906392, 0.203630745919553, 0.168717999980802,          0.788986586736525, 0.798119493593788, 0.72206466606869,          0.420516157550055, 0.401810150563083, 0.69800247969724,          0.14668864145384), PROX_HAWKER = c(0.595417483526792,          0.595417483526792, 0.546104933523636, 0.646528219825606,          0.762382071136897, 0.762382071136897, 0.28049665267082,          0.126776661941161, 0.351855498276287, 0.668394095052703,          0.566432501893156, 0.509657348502929, 0.262344394473714,          0.199496524550099, 0.151348144296069, 0.669525197575465,          0.295460487376037, 0.449139985411189, 0.130331819855385,          0.107292567178633), PROX_MRT = c(0.314337158810329, 0.314337158810329,          0.275254866694397, 0.491479629856663, 0.586728793826683,          0.586728793826683, 0.763812758173444, 0.804865461788644,          0.675587286197546, 0.413017272318271, 0.40356540460373,          0.533693046359433, 0.310254962870727, 0.226103982865864,          0.225262429159589, 1.13446368103879, 0.305306521480229,          0.537190991659238, 0.132116935816272, 0.649340944892975         ), PROX_PARK = c(1.53366372097489, 1.53366372097489,          1.60860995669454, 1.77379186206272, 1.65596921250538,          1.65596921250538, 1.08394438059851, 0.908868407872405,          1.05249384295472, 1.16828897329218, 1.11098670131371,          0.941534540217125, 0.894232249415992, 0.97332058707081,          0.921128796109604, 0.279857584881724, 0.990750186553446,          0.408351250353425, 0.742212481577902, 0.711925115709351         ), PROX_GOOD_PRISCH = c(3.0451226436528, 3.0451226436528,          2.96671225712824, 2.79995758206102, 2.86977258716747,          2.86977258716747, 3.57098970158234, 3.66355651606602,          3.52335384407219, 3.20846684942761, 3.63213704613537,          3.77462248476967, 3.868083844602, 2.41026804261554, 2.45094763896652,          4.40925832010736, 2.01228232098645, 3.70512913004722,          2.39901634170637, 1.64363723354824), PROX_MALL = c(0.63262312230698,          0.63262312230698, 0.696065710972082, 0.970860317849455,          0.992224857230604, 0.992224857230604, 0.528365937160055,          0.209686974260184, 0.184401966361696, 1.18405339004253,          0.890632544268956, 0.812522711759855, 1.18273225000282,          1.14826594162738, 1.15586968043917, 0.830412122132217,          0.848644658978131, 0.743612757274357, 0.965908348364742,          0.58741271025502), PROX_CHAS = c(0.278004299073392, 0.278004299073392,          0.22404402777184, 0.0639130956899198, 0.156405874770629,          0.156405874770629, 0.251376462502101, 0.176171654931402,          0.131272369045618, 0.401816380076581, 0.116543108560641,          0.237239443458304, 0.145112311632742, 0.157172829578474,          0.103484302768675, 0.120011087306801, 0.262677718190406,          0.499618186459994, 0.0879111496245458, 0.142011209366223         ), PROX_SUPERMARKET = c(0.278004958714438, 0.278004958714438,          0.224044642536509, 0.0639125072278545, 0.156405662038775,          0.156405662038775, 0.311533400888457, 0.176171398022836,          0.182486832055582, 0.431453687618191, 0.205058734443685,          0.125937465506006, 0.252387257990654, 0.212384620357781,          0.198926203527595, 0.0907294343182455, 0.3581952061826,          0.499617451823641, 0.0879117778441782, 0.585686837888717         ), WITHIN_350M_KINDERGARTEN = c(5L, 5L, 5L, 2L, 0L, 0L,          0L, 2L, 1L, 1L, 0L, 0L, 1L, 3L, 3L, 0L, 1L, 0L, 2L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 4L, 4L, 3L, 3L,          2L, 1L, 1L, 1L, 5L, 5L, 3L, 3L, 3L, 2L, 1L, 2L, 3L, 2L         ), WITHIN_350M_BUS = c(8L, 8L, 9L, 7L, 7L, 7L, 12L, 7L,          8L, 7L, 14L, 13L, 12L, 10L, 9L, 6L, 8L, 8L, 5L, 5L),          WITHIN_1KM_PRISCH = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L,          1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 3L, 1L, 1L), DNeighbour = c(0,          2.42110338226914, 72.8998230866017, 335.59233550858,          377.254173353674, 380.154026872507, 551.539860027598,          635.236209322539, 701.184829262785, 732.891790974427,          773.753190680604, 853.89630610585, 1115.28900069681,          1279.09624645455, 1302.88599369252, 1369.10262808092,          1490.55527590065, 1515.99177401746, 1552.21881929577,          1813.7141623423)), row.names = c("982", "39", "916",      "854", "333", "768", "140", "216", "130", "320", "709", "348",      "375", "379", "832", "610", "413", "69", "562", "18"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99999643615679, 0.996771548205086, 0.932699591929811, 0.915343059378118,      0.914065918665197, 0.82360480218285, 0.769710685839951, 0.723416912310446,      0.700094674300015, 0.669126859318415, 0.605824872664734,      0.386726612132671, 0.252649380071084, 0.234226740378813,      0.185058634956451, 0.105367757246875, 0.0908153733080992,      0.071591831069867, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       10504521704 
R squared (OOB):                  0.5470634 

$Forests[[983]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(653000, 729999, 742000,      745000, 682000, 688000, 468888, 480000, 535000, 4e+05, 5e+05,      478000, 4e+05, 5e+05, 360000, 7e+05, 413888, 363000, 649888,      533000), floor_area_sqm = c(91, 100, 92, 100, 100, 90, 92,      92, 92, 104, 91, 92, 92, 91, 92, 95, 88, 97, 87, 88), storey_order = c(2L,      6L, 7L, 10L, 10L, 6L, 3L, 3L, 3L, 4L, 1L, 4L, 3L, 2L, 2L,      3L, 2L, 4L, 3L, 1L), remaining_lease_mths = c(1121, 1122,      1104, 1122, 1120, 985, 701, 692, 694, 745, 690, 716, 708,      706, 719, 1100, 668, 701, 1103, 653), PROX_CBD = c(9.51816518584724,      9.41601606571959, 9.57467117229508, 9.28682806708392, 9.28682806708392,      9.84174458192399, 9.79963982832759, 9.76973796844692, 9.76973796844692,      9.4187827620762, 10.2183960492338, 9.58813304663833, 10.1748545259067,      10.2657373615824, 10.2629321739313, 7.97001655790022, 7.88501742637481,      12.1013944735855, 7.02256530608061, 6.92829321613491), PROX_ELDERLYCARE = c(0.0590206014568566,      0.14515851054369, 0.0836678964153836, 0.306248896776786,      0.306248896776786, 0.339166460968835, 0.390845215421192,      0.487200680071974, 0.487200680071974, 0.579996323717894,      0.670964346371623, 0.251441869005946, 0.889757070081441,      0.519949541574078, 1.00265829049513, 0.682273370470252, 0.487583248392117,      2.41403538414825, 0.467453442926814, 0.389684735109723),          PROX_HAWKER = c(0.5145461029689, 0.552624576950901, 0.628838904549623,          0.449541776391294, 0.449541776391294, 0.272020065995023,          0.315572935590663, 0.323134910569429, 0.323134910569429,          0.508914568418093, 0.161327078165055, 0.391674386653945,          0.304343114187016, 0.527790221924738, 0.370496257898541,          0.840126401207934, 0.645875214067525, 0.561617227785994,          0.207247650371579, 0.133504850959355), PROX_MRT = c(0.689820066215858,          0.796240617220745, 0.731513991246432, 0.819017740329599,          0.819017740329599, 0.348847208140378, 0.308409661615337,          0.307725216106606, 0.307725216106606, 1.21403827268849,          0.352113639571012, 0.707146681079003, 1.12559589355515,          0.351828842975553, 1.21137251272603, 0.726942522279936,          0.707952731476156, 1.71497473755306, 0.409658939160285,          0.407218977151475), PROX_PARK = c(0.506309566114581,          0.579398729399101, 0.402026431996325, 0.754667699158598,          0.754667699158598, 0.429024269124863, 0.556935587195362,          0.692980820038259, 0.692980820038259, 0.633868788719276,          0.412720152963846, 0.630094576064042, 0.326884491561474,          0.752867192571236, 0.429817985649402, 0.618444971248099,          0.511064020035708, 0.181629272169071, 0.380160428577633,          0.377410917604964), PROX_GOOD_PRISCH = c(1.35033962190844,          1.45792936689373, 1.37880970746963, 1.50498632547922,          1.50498632547922, 0.999365026226873, 0.97109568154285,          0.945616550360875, 0.945616550360875, 1.8319493658717,          0.778258345851083, 1.10432321767326, 1.53712936271762,          0.402201611323318, 1.58756538029025, 2.78644315018514,          2.82520953766913, 1.52909264222103, 2.07008813823767,          2.0639866413545), PROX_MALL = c(0.508727078362918, 0.616886214909116,          0.493679276753517, 0.732362808464395, 0.732362808464395,          0.188176716989659, 0.277854565241424, 0.3113714109904,          0.3113714109904, 0.308706652763352, 0.1993183735571,          0.759347764163403, 0.493589384976364, 0.347570072991699,          0.573348708551386, 0.66906173274608, 0.535655644340599,          1.69674818443598, 0.395390786334096, 0.352244010010256         ), PROX_CHAS = c(0.0590210156667789, 0.145158576319141,          0.0836673580931749, 0.30624919123722, 0.30624919123722,          0.139131199666608, 0.213793078898363, 0.164045702260751,          0.164045702260751, 0.308706623046814, 0.176868193181362,          0.395290416984683, 0.118978706369709, 0.329846033180528,          0.166187985395119, 0.195243012850588, 0.102679570293108,          0.26797195188846, 0.278446199404133, 0.180332756228222         ), PROX_SUPERMARKET = c(0.0642147642973091, 0.145877744762322,          0.0769150331708007, 0.309780650655361, 0.309780650655361,          0.139131268426574, 0.217115292225756, 0.329801606095394,          0.329801606095394, 0.31508799294366, 0.245740902557878,          0.20799335196523, 0.371852561025965, 0.353445486406562,          0.394772134126693, 0.169510705521186, 0.158953339299884,          0.570395350553557, 0.0888694671696128, 0.0762755382886037         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 1L,          1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(1L, 1L, 2L, 1L, 1L, 4L,          4L, 3L, 3L, 4L, 6L, 2L, 3L, 4L, 1L, 0L, 1L, 1L, 3L, 5L         ), WITHIN_350M_BUS = c(7L, 8L, 7L, 7L, 7L, 9L, 11L, 11L,          11L, 3L, 6L, 7L, 8L, 10L, 7L, 7L, 5L, 10L, 10L, 7L),          WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 1L, 1L, 3L, 3L, 3L,          3L, 0L, 4L, 2L, 0L, 3L, 0L, 1L, 1L, 0L, 0L, 0L), DNeighbour = c(0,          115.884996218876, 138.229146440641, 246.811803090541,          250.87486859433, 350.444387046234, 385.230375361031,          464.590264016352, 470.779697348366, 608.589542381362,          704.705073973736, 889.987553901437, 953.987395102714,          1015.55510737145, 1062.70497484777, 1547.19304763987,          1644.44294472617, 2592.38412068342, 2608.58483616761,          2679.28207116337)), row.names = c("983", "928", "551",      "308", "794", "268", "943", "926", "68", "278", "584", "640",      "245", "649", "244", "904", "338", "40", "221", "978"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.996261984295451, 0.994683644645905, 0.983100324258471,      0.982541802396252, 0.966076521094128, 0.959081310723165,      0.940768246938321, 0.939204421907189, 0.899471034880533,      0.866426654268711, 0.791495814753623, 0.762514366679061,      0.733298790371225, 0.710106765700178, 0.444266985146234,      0.388497349861482, 0.00407231271395197, 0.00271201530969898,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5897356854 
R squared (OOB):                  0.6738875 

$Forests[[984]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(355000, 310000, 308000,      327000, 355000, 418000, 318000, 313000, 315000, 365000, 358000,      280000, 380000, 3e+05, 375000, 398000, 295000, 359000, 402000,      275000), floor_area_sqm = c(104, 84, 84, 84, 104, 104, 84,      84, 104, 103, 91, 84, 108, 85, 104, 104, 83, 103, 93, 84),          storey_order = c(4L, 2L, 1L, 1L, 2L, 1L, 1L, 4L, 4L,          4L, 1L, 4L, 2L, 4L, 1L, 3L, 1L, 1L, 4L, 1L), remaining_lease_mths = c(814,          787, 779, 802, 785, 794, 785, 772, 777, 805, 760, 809,          807, 798, 808, 823, 812, 799, 762, 807), PROX_CBD = c(14.9797222810306,          14.7686155241139, 14.8104288104214, 15.395293903354,          14.7946380504301, 14.6249352309891, 15.4237712873611,          15.5029529482698, 15.5029529482698, 14.5082496767788,          15.6053010835868, 14.5514247745221, 14.3069689320192,          14.6468242567931, 14.2674761918172, 14.4215550437188,          14.136177090114, 14.1470244070667, 15.8715793299193,          15.555826242216), PROX_ELDERLYCARE = c(1.40865121451131,          1.18091019396193, 1.14385816982861, 1.48326161455178,          1.02543356664281, 1.66362706878828, 1.66429806880172,          1.60634233373903, 1.60634233373903, 1.0960579077266,          1.18278326755006, 0.934928905143492, 1.30284795398611,          0.791783477476035, 1.37520258101488, 0.933706769700102,          1.52241617566094, 1.73443513584582, 1.28212929908789,          1.98144426857027), PROX_HAWKER = c(1.17708155532767,          1.07995965555937, 1.03493347869974, 0.763118949388798,          0.927587772885235, 1.46189875323845, 0.663653920640621,          0.592613874358246, 0.592613874358246, 1.06968967826483,          0.745618024005524, 0.920905853639359, 1.30042856091519,          0.771377618176498, 1.3725902814614, 0.964097104531415,          1.5304212921709, 1.71810403079302, 0.428166805124, 0.587918588004233         ), PROX_MRT = c(0.541117453484526, 0.495669019430354,          0.547659244513397, 0.486709870425329, 0.635923545376501,          0.177135615746217, 0.641519249244255, 0.579811001445256,          0.579811001445256, 0.541381135472874, 0.180817781363956,          0.702240402731505, 0.431073100471927, 0.834242720427877,          0.392323251912074, 0.766580328668093, 0.407136749273107,          0.316955810938843, 0.326170963259121, 0.961984472446029         ), PROX_PARK = c(0.869949400509587, 0.837021679605882,          0.79060261488636, 0.736647900507106, 0.687013904416796,          0.967683324465338, 0.527546900647844, 0.518465718930498,          0.518465718930498, 0.854937524579578, 0.580682002012541,          0.717751277212032, 0.87843358408359, 0.572284771964545,          0.808406007535371, 0.786856267919922, 0.646645557650639,          0.521638252737905, 0.729541055973412, 0.155244626205508         ), PROX_GOOD_PRISCH = c(5.38873705701154, 5.21242267662931,          5.2589313064801, 5.79164197089728, 5.2635668385575, 5.00900650468442,          5.79932453842233, 5.8805780078001, 5.8805780078001, 4.9821455258424,          6.02648848177283, 5.05486565817651, 4.7599521059868,          5.17213285521296, 4.71060068854172, 4.94298421634201,          4.56541244462189, 4.5417585858835, 6.26806838260706,          5.90755023148013), PROX_MALL = c(0.857174016474006, 0.644074766251318,          0.641907311269237, 0.561468969675593, 0.540570027720398,          1.02277508016934, 0.726704111983395, 0.667352945771092,          0.667352945771092, 0.395836928017505, 0.252610517585887,          0.264439990658005, 0.530519583310388, 0.253080993480643,          0.598720745421956, 0.158055972255249, 0.730402721918488,          0.958986678954386, 0.405953132327172, 1.05229171505891         ), PROX_CHAS = c(0.0593781975043205, 0.305551557127515,          0.273160540123658, 0.1019571402223, 0.151656769473437,          0.253202817693943, 0.11942955396425, 0.128101303359069,          0.128101303359069, 0.111998728732921, 0.0925674017483885,          0.0412741280494288, 0.141608811196257, 0.118994056415591,          0.0989632897848068, 0.110909163864147, 0.0978085819739089,          0.262672355720334, 0.170717118999449, 0.0651877268759985         ), PROX_SUPERMARKET = c(0.101389584423307, 0.397697747354111,          0.406551385550075, 0.0953919744611677, 0.505826018716947,          0.177136085505812, 0.307102160965552, 0.314517101025506,          0.314517101025506, 0.321173728185784, 0.188530812320699,          0.259076961683863, 0.179396317901182, 0.246822057901315,          0.13781747249929, 0.155031856949385, 0.152757697669253,          0.246179282205813, 0.323117190327721, 0.511049564140858         ), WITHIN_350M_KINDERGARTEN = c(0L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 1L, 0L, 1L, 1L, 2L, 1L, 3L, 1L, 3L, 3L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 2L, 2L, 5L, 1L,          3L, 2L, 2L, 4L, 5L, 4L, 7L, 5L, 7L, 3L, 7L, 4L, 2L, 6L         ), WITHIN_350M_BUS = c(10L, 8L, 7L, 9L, 8L, 9L, 11L,          10L, 10L, 8L, 10L, 7L, 7L, 9L, 6L, 10L, 7L, 6L, 8L, 7L         ), WITHIN_1KM_PRISCH = c(4L, 3L, 4L, 4L, 3L, 2L, 4L,          3L, 3L, 3L, 4L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 4L, 1L),          DNeighbour = c(0, 307.161221856696, 312.382124485816,          424.160282860381, 424.71730781942, 428.913134344194,          538.919350136758, 590.522304695241, 591.687525523448,          610.429449660082, 639.904148072921, 689.278240573817,          715.311752790541, 734.366607826504, 739.95029953635,          825.401794673055, 846.061100755898, 855.910802698343,          892.45955925902, 896.912399728566)), row.names = c("984",      "101", "396", "556", "424", "30", "293", "587", "162", "884",      "143", "253", "341", "862", "377", "546", "665", "636", "294",      "426"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.779190422286248,      0.772108049488623, 0.602726485865982, 0.601814169709227,      0.594926052862182, 0.408278191365006, 0.320940962215879,      0.319003699769913, 0.288151551105977, 0.241067174895131,      0.167613216463622, 0.132460233431747, 0.10864452452703, 0.102003246349254,      0.0234404289273322, 0.0121390739910386, 0.00798137397034965,      9.81014472064559e-05, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1417961314 
R squared (OOB):                  0.1898875 

$Forests[[985]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(373000, 4e+05, 410000,      420000, 435000, 398000, 425000, 410000, 418000, 345000, 365000,      312000, 320000, 455000, 465000, 385000, 3e+05, 450000, 330000,      305000), floor_area_sqm = c(92, 92, 92, 92, 92, 92, 93, 93,      112, 95, 91, 107, 104, 106, 106, 90, 85, 93, 107, 90), storey_order = c(1L,      1L, 3L, 5L, 4L, 2L, 4L, 4L, 5L, 3L, 4L, 1L, 2L, 4L, 2L, 3L,      2L, 4L, 3L, 1L), remaining_lease_mths = c(1128, 1127, 1131,      1134, 1129, 1136, 1126, 1117, 904, 1003, 1061, 779, 779,      933, 933, 1060, 979, 950, 776, 966), PROX_CBD = c(17.1731083577317,      17.1731083577317, 17.2397585888566, 17.2397585888566, 17.2397585888566,      17.26435404508, 17.3263676504413, 17.3263676504413, 17.2048826778539,      17.7047470513727, 17.5974072281911, 16.6890813896757, 16.6890813896757,      17.1634204962367, 17.1401277939721, 17.6242343596777, 18.0119212314593,      17.4336546583772, 16.4773488158513, 18.0816861587931), PROX_ELDERLYCARE = c(0.456899326246073,      0.456899326246073, 0.500148198332671, 0.500148198332671,      0.500148198332671, 0.542806768712765, 0.561119780492452,      0.561119780492452, 0.400468425457175, 0.933045885854195,      0.819477307137174, 0.296144426041885, 0.296144426041885,      0.565792923614884, 0.586863575497558, 0.892136309268664,      1.25793892145158, 0.825709875044437, 0.393080972860029, 1.34637729166943     ), PROX_HAWKER = c(0.507233229895407, 0.507233229895407,      0.55990768529081, 0.55990768529081, 0.55990768529081, 0.598096651463893,      0.631285601786086, 0.631285601786086, 0.498365875295267,      1.00938993481846, 0.922900854400271, 0.360513691606501, 0.360513691606501,      0.666841975849823, 0.685044657792881, 0.816419857336687,      1.33204585660377, 0.841716009165303, 0.170796598263111, 1.41733367811242     ), PROX_MRT = c(1.18009183772516, 1.18009183772516, 1.16124452414741,      1.16124452414741, 1.16124452414741, 1.20599959693509, 1.13344401626098,      1.13344401626098, 0.87869292375624, 1.29287496569192, 0.830609903675807,      0.937471590679814, 0.937471590679814, 0.463116738810145,      0.418422993771755, 0.729175757939742, 1.54554013822754, 0.463093751675267,      0.826410504821953, 1.64690112478102), PROX_PARK = c(1.02763138312455,      1.02763138312455, 0.959994438388966, 0.959994438388966, 0.959994438388966,      0.937816003807321, 0.872985599051717, 0.872985599051717,      0.9054780070858, 0.495314460898113, 0.751240825934154, 1.20981147430356,      1.20981147430356, 0.505224516024672, 0.454841043819919, 0.830497330619545,      0.23250554954982, 0.609424449579261, 1.2054653508424, 0.243247600736397     ), PROX_GOOD_PRISCH = c(6.57664814247058, 6.57664814247058,      6.64012383316355, 6.64012383316355, 6.64012383316355, 6.66937916554136,      6.72174636420399, 6.72174636420399, 6.57740517739392, 7.10206992983331,      6.95474206477502, 6.16175607197734, 6.16175607197734, 6.50789265243056,      6.48254224033906, 6.97273607492461, 7.41905192895776, 6.77374769998522,      5.97835326648125, 7.49669975318446), PROX_MALL = c(0.392080122681935,      0.392080122681935, 0.450738515511335, 0.450738515511335,      0.450738515511335, 0.484724019608978, 0.530342726071102,      0.530342726071102, 0.446026044391999, 0.790613232916467,      0.757845794253982, 0.571849863617429, 0.571849863617429,      0.353588302636786, 0.306862579253759, 0.671391539314818,      0.658794213245526, 0.404491618549369, 0.76724723438711, 0.694568288644574     ), PROX_CHAS = c(0.214971829128206, 0.214971829128206, 0.221318263528924,      0.221318263528924, 0.221318263528924, 0.270084445320348,      0.254413742194056, 0.254413742194056, 0.130380344727655,      0.40646651865696, 0.175468897673469, 0.332465298200207, 0.332465298200207,      0.171584438209325, 0.133156315003352, 0.0497500971788425,      0.166262674114357, 0.260153188296123, 0.09463300161804, 0.119012364389208     ), PROX_SUPERMARKET = c(0.391090025360665, 0.391090025360665,      0.449846933875903, 0.449846933875903, 0.449846933875903,      0.483753219919624, 0.529573977763673, 0.529573977763673,      0.445962312606475, 0.260900811674997, 0.336744227428862,      0.204374831829505, 0.204374831829505, 0.320581809168482,      0.27639551573194, 0.442456788826315, 0.385510043100507, 0.355873580059747,      0.108262733037825, 0.485184742393951), WITHIN_350M_KINDERGARTEN = c(2L,      2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 0L, 1L, 3L, 3L, 1L, 1L, 0L,      1L, 1L, 3L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L, 4L,      4L, 4L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 4L, 3L, 2L, 3L, 4L, 6L,      3L), WITHIN_350M_BUS = c(8L, 8L, 6L, 6L, 6L, 6L, 5L, 5L,      8L, 6L, 6L, 9L, 9L, 8L, 7L, 12L, 9L, 12L, 9L, 8L), WITHIN_1KM_PRISCH = c(2L,      2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L,      4L, 6L, 3L, 3L), DNeighbour = c(0, 3.04298616195685, 66.7485138117683,      70.4796272406963, 71.8726695039573, 92.7877654555756, 164.774637130509,      166.617207201377, 310.84506692693, 523.413378519249, 646.143659273506,      661.83242235028, 665.709702404492, 719.921569829431, 763.28530321157,      773.802641736844, 835.965849322054, 857.64883860027, 915.835559831574,      922.472467969049)), row.names = c("985", "507", "86", "280",      "290", "847", "925", "797", "889", "631", "720", "497", "328",      "991", "530", "300", "228", "535", "107", "85"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999978236899814, 0.989555973685975, 0.98835925073302, 0.987895954836905,      0.979867299569248, 0.937205773675741, 0.935816955171892,      0.785796386345275, 0.459757449757037, 0.259460964693222,      0.235475733850565, 0.229641867176413, 0.152830281710521,      0.0994472512894394, 0.0878263014767584, 0.0319550350618276,      0.0183887509071336, 0.000205567534967655, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1828688787 
R squared (OOB):                  0.3306533 

$Forests[[986]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(285000, 3e+05, 295000,      330000, 290000, 292000, 585000, 485000, 455000, 345000, 445000,      370000, 460000, 450000, 365000, 347000, 350000, 355000, 491000,      415000), floor_area_sqm = c(92, 99, 106, 103, 92, 104, 91,      93, 99, 114, 93, 90, 93, 93, 104, 90, 93, 106, 92, 104),          storey_order = c(1L, 1L, 1L, 2L, 4L, 2L, 10L, 10L, 2L,          2L, 7L, 3L, 7L, 4L, 2L, 2L, 3L, 1L, 9L, 2L), remaining_lease_mths = c(697,          697, 825, 937, 690, 828, 995, 1112, 951, 839, 1117, 977,          1135, 1131, 828, 971, 1018, 825, 1137, 875), PROX_CBD = c(14.6519123293037,          14.8036441916204, 14.7220636963442, 14.5165027597446,          14.8961777358487, 15.1374510187917, 14.2059144167977,          14.8542518275748, 14.3012013074868, 15.4582319270764,          14.9897790388493, 14.489397367385, 15.0332592042754,          15.1194109037639, 15.6198573118901, 14.6079806280174,          14.9930585550483, 15.6983328737326, 15.0782917837809,          15.8781143296649), PROX_ELDERLYCARE = c(0.254409923718011,          0.0965145667339982, 0.327768156942021, 0.389463724969334,          0.090689252710872, 0.426629771798313, 0.923774065318005,          0.671766786446111, 0.93663965535868, 0.319622441582349,          0.622451014094897, 0.929205058584809, 0.653175957864657,          0.632846087105322, 0.497975502399054, 0.966138977916587,          0.766085625885291, 0.587171684565488, 0.811417024562957,          0.633288957745621), PROX_HAWKER = c(1.21550185558774,          1.07372228066705, 1.39864823048803, 1.0617726338971,          1.02395142210687, 1.49196951764411, 0.829910539202106,          0.3485650804915, 0.693090021451824, 1.7245004017694,          0.366862032582334, 0.478869651742105, 0.344843972730765,          0.399490681633122, 1.6566914426712, 0.31691894051251,          0.230353911902381, 1.64071314431986, 0.241120378832392,          1.79301822351461), PROX_MRT = c(0.218405848235923, 0.363746184676816,          0.0523025726452692, 0.0901878473788138, 0.437229774651496,          0.164193456307044, 0.127617925270923, 0.41695674877223,          0.189883903502813, 0.233994550027949, 0.550628186781769,          0.0437298005890327, 0.587916938270161, 0.674936552563307,          0.297714051615291, 0.188565130994124, 0.545901722651448,          0.341199960643831, 0.604690005035212, 0.159697283923578         ), PROX_PARK = c(0.325486875199719, 0.497172938499345,          0.432331111477529, 0.278686390612803, 0.600185611341118,          0.786093050092807, 0.716522496183652, 1.00246315577637,          0.812876767906526, 0.998254167239372, 0.886983007034967,          0.935596264101672, 0.858154923175006, 0.773048101136696,          0.782164021798725, 1.07918529837209, 0.937160160632966,          0.686441032296595, 0.889047622652367, 0.678969217742802         ), PROX_GOOD_PRISCH = c(4.99149337529414, 5.17691715074399,          4.99661753747661, 4.93093863547281, 5.28070608730985,          5.37568176340172, 4.85056771881294, 5.49301939379528,          4.98177209241419, 5.64801716169655, 5.61521578968116,          5.1963266927986, 5.67093979106873, 5.74516136190441,          5.84268664292306, 5.35450137646782, 5.6774973866509,          5.93514971647738, 5.77803713337603, 6.09357654169244),          PROX_MALL = c(0.377416550632833, 0.278400001713995, 0.343882807046916,          0.38830118917563, 0.252669380741675, 0.249545786638779,          0.148456555084967, 0.497662931100388, 0.236735170365795,          0.455554164929496, 0.615054651957031, 0.345992784345898,          0.671424081833306, 0.744876648240093, 0.394873468760787,          0.479398555662368, 0.691703794200818, 0.310729806849059,          0.79347213158724, 0.145699923430919), PROX_CHAS = c(0.0736014920224838,          0.190291087196022, 0.141205029857343, 0.0918929757518676,          0.252669404800451, 0.193150290660334, 0.148456588323488,          0.139715392485403, 0.214782230853987, 0.158017550603297,          0.101756162724623, 3.77135010377852e-08, 0.0438337826764906,          0.0812821875339188, 0.28481487293308, 0.166948923507452,          0.094086780959658, 0.261893114523038, 0.128222338920945,          0.0723222156351423), PROX_SUPERMARKET = c(0.128878263549785,          0.190291125096353, 0.141204847242777, 0.354026220875794,          0.186322037460738, 0.200567401454574, 0.154204342539502,          0.118312809115248, 0.172194506074768, 0.387973705585917,          0.215874380558773, 0.31785895032531, 0.238848984717478,          0.325050502595441, 0.407244625741832, 0.218811722485387,          0.189746195069109, 0.322774913149109, 0.286089695736963,          0.157892159590583), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 2L, 0L, 0L, 1L,          2L, 1L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 5L, 3L, 5L, 7L, 3L, 6L, 8L, 3L, 5L, 3L, 3L, 3L, 2L,          3L, 4L, 3L, 3L), WITHIN_350M_BUS = c(9L, 9L, 8L, 7L,          7L, 11L, 17L, 11L, 15L, 14L, 11L, 13L, 10L, 12L, 9L,          13L, 11L, 8L, 10L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L,          2L, 2L, 3L, 2L, 3L, 4L, 3L, 3L, 3L, 5L, 3L, 3L, 3L, 5L,          4L, 3L, 4L, 3L), DNeighbour = c(0, 193.594427361145,          204.324443205654, 234.120367271921, 296.93570395343,          546.993738824606, 829.40747068265, 866.893299926261,          877.477681033029, 899.128241434476, 912.483426296628,          929.687154623348, 961.742914564023, 991.067284998802,          995.330843986084, 1033.01088031571, 1044.71231879884,          1060.39477748556, 1132.88311634857, 1246.73951703401)), row.names = c("986",      "995", "786", "592", "87", "387", "146", "159", "717", "383",      "500", "374", "865", "299", "304", "385", "836", "196", "568",      "510"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.952357278182585,      0.947003483088249, 0.930716275045753, 0.889767999932369,      0.652068758406195, 0.310725405892594, 0.266791382159971,      0.25466179142736, 0.230298293031838, 0.215600980151246, 0.19708209267033,      0.163969986944384, 0.135490674268093, 0.131509184863527,      0.0982646090053792, 0.0887029875895125, 0.0765027634815139,      0.0303828270848716, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       3833237080 
R squared (OOB):                  0.4494932 

$Forests[[987]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(315000, 308000, 365000,      355000, 330000, 370000, 347000, 446000, 370000, 360000, 365000,      360000, 340000, 390000, 440000, 380000, 375000, 388000, 420000,      428000), floor_area_sqm = c(84, 84, 103, 103, 103, 98, 103,      107, 104, 103, 107, 99, 104, 104, 103, 102, 92, 103, 99,      90), storey_order = c(3L, 1L, 4L, 3L, 2L, 2L, 3L, 3L, 2L,      1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 8L), remaining_lease_mths = c(788,      795, 768, 793, 800, 767, 777, 783, 763, 777, 766, 796, 772,      763, 918, 938, 938, 935, 929, 1008), PROX_CBD = c(13.0463978034086,      13.3304860768802, 12.6612960596841, 13.46147060752, 13.46147060752,      12.6407298816561, 12.4516179583977, 13.1163383572019, 13.075732494377,      13.7231688188033, 13.578535689825, 13.8977069202737, 13.1145091682395,      13.1145091682395, 12.1964782349865, 12.4172252614445, 12.0748651503812,      12.2384019056968, 13.2222340992065, 13.8412030491349), PROX_ELDERLYCARE = c(0.612412426395362,      0.85382998667073, 0.349885373003571, 1.01995663096129, 1.01995663096129,      0.198383641986835, 0.517665393733001, 0.258125844069092,      0.206309775801723, 0.681177733621966, 0.535215785060316,      1.56746404607568, 0.233566729538939, 0.233566729538939, 0.395535007521183,      0.466477120293287, 0.485644504612505, 0.481492260541915,      0.385934705647939, 1.74703283433278), PROX_HAWKER = c(1.36023111372333,      1.09459947163448, 1.71720286170745, 1.03983060555389, 1.03983060555389,      1.70233840124208, 1.97187302693261, 1.23349193679857, 1.2806114078583,      0.601426993813282, 0.775756145922257, 1.04237506554324, 1.24018164124527,      1.24018164124527, 2.11269605893479, 1.89270186421095, 1.97379568283644,      2.08679181031876, 1.08380419022874, 1.43519165592487), PROX_MRT = c(0.622051877914657,      0.525688124362732, 0.798149237832703, 0.367668143276235,      0.367668143276235, 0.712674611555213, 1.07246547116041, 0.166998983475289,      0.218393806785847, 0.498221170198522, 0.357978123578611,      0.300373388684648, 0.402767024758649, 0.402767024758649,      1.03396693725809, 0.847625669994717, 1.16171233055988, 1.00400763232319,      0.503688459146237, 0.462396576385451), PROX_PARK = c(0.572775970192077,      0.620743454357064, 0.722272593032778, 0.582693033366388,      0.582693033366388, 0.87239282209614, 0.540079114132334, 1.28385310080255,      1.31516124688894, 1.26781451063295, 1.33984402369384, 0.782220037546154,      1.4917670023494, 1.4917670023494, 0.631382355736929, 0.790049777369869,      0.570565135790359, 0.617440020241687, 1.61082819122054, 0.752068597068081     ), PROX_GOOD_PRISCH = c(2.96540091825049, 3.24954726475941,      2.58047246486208, 3.38131302543864, 3.38131302543864, 2.56532775368338,      2.37408427308534, 3.10133739012884, 3.06740437701091, 3.673854441535,      3.55013641033528, 3.83525569342672, 3.15473759747012, 3.15473759747012,      2.16851203086393, 2.44639044951476, 2.03318600563725, 2.2532718981807,      3.2388029474634, 3.82728738248792), PROX_MALL = c(0.587476612974174,      0.513372166694422, 0.817237002784756, 0.644549177151603,      0.644549177151603, 0.751522975449472, 1.09246464633101, 0.281310431650798,      0.332903613799786, 0.406890039239853, 0.305514521023982,      1.14150204308926, 0.504156272689578, 0.504156272689578, 1.12036230953297,      0.95273084922996, 1.24268779707958, 1.10261213560447, 0.587950861513872,      1.33339622609195), PROX_CHAS = c(0.40513819943783, 0.472814153962233,      0.248450831201433, 0.348399033159575, 0.348399033159575,      0.217156748290024, 0.137011223676854, 0.155371621529032,      0.122328851042638, 0.176857487498571, 0.282171570268124,      0.162936326565904, 0.11048408202451, 0.11048408202451, 0.194956542036987,      0.132703338642494, 0.0669716337617594, 0.187666753228527,      0.151225190585885, 0.116038559859119), PROX_SUPERMARKET = c(0.599997973636583,      0.510727353781082, 0.326739034058403, 0.356146193343619,      0.356146193343619, 0.217156859083098, 0.417679622168911,      0.141466460051892, 0.193246634773484, 0.270532795629183,      0.281417393052806, 0.162936951836525, 0.362446168440829,      0.362446168440829, 0.242376621204914, 0.453312253927337,      0.301394789473075, 0.388917381074845, 0.459946280432931,      0.116038559858059), WITHIN_350M_KINDERGARTEN = c(2L, 1L,      2L, 1L, 1L, 2L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L,      1L, 0L, 1L), WITHIN_350M_CHILDCARE = c(2L, 4L, 3L, 3L, 3L,      4L, 3L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 4L, 3L, 2L, 2L, 5L, 3L     ), WITHIN_350M_BUS = c(7L, 5L, 12L, 6L, 6L, 10L, 9L, 9L,      10L, 8L, 10L, 5L, 7L, 7L, 9L, 9L, 9L, 10L, 8L, 5L), WITHIN_1KM_PRISCH = c(4L,      3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 3L, 3L, 3L, 2L, 2L,      2L, 2L, 4L, 3L), DNeighbour = c(0, 285.751531141508, 387.73329456502,      427.521468302881, 436.09095565051, 438.874898198942, 611.988512419187,      713.728753026646, 741.27845956433, 863.159463657228, 866.140225118116,      958.412041669539, 971.132691708434, 974.473209370144, 997.761089045407,      1021.46473203607, 1063.13010892757, 1086.70368942519, 1102.78220499122,      1144.76455114675)), row.names = c("987", "61", "552", "332",      "526", "477", "851", "105", "929", "960", "856", "479", "844",      "164", "677", "296", "721", "399", "350", "678"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.879266024277994, 0.783723153780531, 0.740510383061728,      0.730822931212172, 0.72764837724985, 0.510089187548394, 0.373666351913686,      0.337206263198424, 0.186170493774745, 0.18279166256076, 0.089445249533623,      0.078592895160828, 0.0758367672616752, 0.0577620358349134,      0.0415402430589639, 0.0189164164850386, 0.00977425543313599,      0.005184253034027, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1586175511 
R squared (OOB):                  -0.09087316 

$Forests[[988]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(432000, 455000, 455000,      490000, 520000, 465000, 535000, 545000, 5e+05, 395000, 532000,      498000, 520000, 460000, 550000, 403000, 589000, 4e+05, 510000,      460000), floor_area_sqm = c(93, 93, 92, 95, 93, 93, 93, 93,      93, 90, 96, 93, 93, 92, 98, 92, 96, 92, 97, 93), storey_order = c(5L,      5L, 4L, 2L, 4L, 5L, 4L, 5L, 6L, 1L, 4L, 2L, 5L, 2L, 4L, 1L,      6L, 1L, 2L, 3L), remaining_lease_mths = c(1129, 1138, 1133,      1111, 1118, 1097, 1118, 1127, 1137, 997, 1111, 1102, 1147,      1137, 1103, 1138, 1111, 1131, 1104, 1138), PROX_CBD = c(13.4495242740615,      13.5153222954464, 13.5263069451707, 13.7780295697528, 13.7912064237251,      13.8110145095205, 13.8964286142315, 13.8964286142315, 13.7068457080251,      13.4480864429089, 13.8842234613226, 13.8269911518463, 13.7003463440691,      13.9481332653994, 13.7784857598507, 13.9348601041022, 13.8838492138892,      13.9748767742628, 13.7787547800329, 13.8880322509317), PROX_ELDERLYCARE = c(0.226392675254826,      0.128038783583345, 0.13293861465481, 0.24280876806526, 0.194902312085005,      0.2424730747692, 0.28821019895416, 0.28821019895416, 0.409751638237597,      0.38095926022983, 0.284905700992106, 0.272443342502121, 0.434917902994305,      0.108372417523696, 0.303554199654945, 0.122633260073778,      0.321249151015697, 0.0869602171534455, 0.357313426679343,      0.250782943854859), PROX_HAWKER = c(1.13086059974118, 1.06471945671836,      1.0232116664491, 0.855348356505915, 0.761066408094757, 0.93957565430704,      0.700607063348248, 0.700607063348248, 1.09574216637781, 1.11021170000921,      0.667389882084889, 0.718894335359525, 1.07570104527527, 0.783686601130967,      0.771130061467184, 0.848294615942255, 0.661984274687099,      0.759405218095962, 0.779750574682814, 0.989318285046145),          PROX_MRT = c(0.537207200764636, 0.531733722241289, 0.529059791722705,          0.290902656750774, 0.263976344610204, 0.110074032088272,          0.214342865325431, 0.214342865325431, 0.23189639897339,          0.436627689790507, 0.172676244118343, 0.250191496834268,          0.256932190523524, 0.146013494832411, 0.334453451125385,          0.066674836544346, 0.202599849124069, 0.16215489673441,          0.373119808041594, 0.0905698875540676), PROX_PARK = c(1.14705623529365,          1.12627074536918, 1.00320858387115, 1.08412864631293,          1.03946212768551, 1.12286028608686, 0.945155408432775,          0.945155408432775, 1.30108171005294, 0.782217598170287,          0.946790994443363, 1.00953333913803, 1.30953091682666,          0.964943529987853, 1.07038952907209, 1.01289159319472,          0.953674473627188, 0.93793434477989, 1.07510958061046,          1.13098813526459), PROX_GOOD_PRISCH = c(3.97306691053722,          4.05859518452173, 4.12550653324601, 4.27934963146811,          4.37243865161908, 4.2580170038876, 4.42474408393319,          4.42474408393319, 4.11427377683663, 4.1394886986689,          4.46427355245829, 4.43409233459216, 4.10033714204368,          4.41058426346667, 4.41640053984819, 4.3780728039611,          4.48950135049007, 4.4381077472328, 4.43794264479214,          4.29841605508598), PROX_MALL = c(0.817008429043632, 0.741140095950697,          0.734460127270614, 0.507308338763366, 0.47180896375681,          0.585854127158584, 0.36232957329041, 0.36232957329041,          0.786897805640679, 0.747053206605742, 0.384398044205003,          0.464449368072494, 0.816725098938654, 0.431747484707969,          0.546157830895501, 0.500682206465503, 0.415387276861254,          0.408666125180857, 0.579723774298741, 0.648384322611893         ), PROX_CHAS = c(0.142936854782623, 0.0484693686848179,          0.164485608616764, 0.246000912873009, 3.14247486029477e-08,          0.123846030022364, 0.190952462752685, 0.190952462752685,          0.0683167852462459, 0.419877338676521, 0.0936868185767241,          0.093713435160417, 0.0738696133860389, 0.0812590805558053,          0.171232412843018, 3.70448785353559e-08, 0.130388475133542,          0.0955424375353944, 0.2330532561781, 0.0495611607390083         ), PROX_SUPERMARKET = c(0.417643104955167, 0.321659607097496,          0.265115106421715, 0.271122867675942, 8.52808058992138e-07,          0.157551778944521, 0.190953240917096, 0.190953240917096,          0.0683172333971998, 0.428569074432488, 0.093687407280864,          0.0937132175773042, 0.0738703098972174, 0.194128300134642,          0.171231859107883, 0.112910168339451, 0.130388583033251,          0.205979542456043, 0.233052713938452, 0.0495614942866338         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 1L, 1L, 1L,          1L, 1L, 0L, 0L, 1L, 1L, 0L, 2L, 0L, 2L, 1L, 2L, 0L, 0L         ), WITHIN_350M_CHILDCARE = c(3L, 4L, 5L, 4L, 4L, 3L,          4L, 4L, 5L, 5L, 3L, 5L, 5L, 3L, 5L, 5L, 3L, 4L, 4L, 3L         ), WITHIN_350M_BUS = c(5L, 6L, 2L, 9L, 8L, 12L, 9L, 9L,          14L, 4L, 7L, 8L, 13L, 7L, 7L, 11L, 9L, 6L, 11L, 11L),          WITHIN_1KM_PRISCH = c(4L, 5L, 6L, 6L, 5L, 4L, 5L, 5L,          3L, 7L, 5L, 5L, 3L, 4L, 6L, 4L, 5L, 4L, 8L, 4L), DNeighbour = c(0,          94.1061484758809, 251.615649085269, 322.121504233601,          410.462073838504, 426.72931515314, 446.776408425403,          450.424903181841, 479.811830800769, 482.582377203939,          496.700436333996, 498.765893357952, 510.249344006557,          513.926769534594, 515.669699832505, 535.850398609354,          543.072705463832, 545.71847065568, 567.220852555823,          577.21041278851)), row.names = c("988", "183", "779",      "282", "420", "645", "760", "442", "863", "655", "670", "376",      "616", "34", "837", "356", "723", "690", "549", "662"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.947544982240155, 0.656062164882341, 0.474118100874205,      0.244349984733908, 0.205609204749921, 0.160706617781289,      0.152925762517148, 0.095485382656126, 0.0906034931321047,      0.0673440499517541, 0.0641791559188479, 0.0477677201406432,      0.0429541401254257, 0.040750549030616, 0.0190924874737644,      0.0131761234790625, 0.0112659226855023, 0.00117743119892045,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       2092975682 
R squared (OOB):                  0.2788366 

$Forests[[989]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(382000, 430000, 418000,      425000, 459000, 462000, 443000, 418000, 447888, 442500, 418888,      395000, 425000, 445000, 345000, 450000, 318000, 415000, 390000,      358000), floor_area_sqm = c(93, 92, 92, 93, 93, 93, 93, 92,      93, 92, 92, 93, 93, 93, 90, 92, 90, 92, 92, 104), storey_order = c(1L,      5L, 5L, 5L, 4L, 5L, 5L, 3L, 5L, 6L, 3L, 2L, 4L, 4L, 5L, 4L,      3L, 2L, 1L, 4L), remaining_lease_mths = c(1111, 1137, 1142,      1134, 1138, 1134, 1134, 1134, 1137, 1138, 1136, 1138, 1134,      1133, 937, 1135, 968, 1132, 1132, 815), PROX_CBD = c(14.29200158436,      14.2919055230493, 14.4012043650842, 14.3486805845321, 14.1715462602585,      14.1475961545785, 14.1475961545785, 14.318757359464, 14.1475961545785,      14.4158973706441, 14.4158973706441, 14.318757359464, 14.318757359464,      14.1149653809405, 14.2787185061121, 14.5310939664424, 14.1338242827509,      14.6122009832922, 14.6424103631698, 14.0960645211931), PROX_ELDERLYCARE = c(2.00367987562091,      2.08663557441472, 1.94149260139439, 2.08279710659019, 2.09595649451453,      2.03155968851809, 2.03155968851809, 2.13920478430288, 2.03155968851809,      1.86115765343828, 1.86115765343828, 2.13920478430288, 2.13920478430288,      2.12564955085825, 1.77826193055387, 1.79186944623163, 2.28550514148655,      1.68824062303628, 1.72557175775889, 1.70531999087377), PROX_HAWKER = c(1.05572120633707,      1.13160866269818, 0.977925494011815, 1.11865892678262, 1.11030496241672,      1.0452124348096, 1.0452124348096, 1.17625726432186, 1.0452124348096,      0.900970586039013, 0.900970586039013, 1.17625726432186, 1.17625726432186,      1.06810792734919, 0.865181709866835, 0.816792492128141, 1.19906286300234,      0.707122679385598, 0.740384095011384, 0.845358517598031),          PROX_MRT = c(0.129588785375857, 0.215635082050947, 0.117672709296806,          0.228370105834555, 0.236487582928319, 0.206896355650083,          0.206896355650083, 0.277525006355607, 0.206896355650083,          0.0830542408041225, 0.0830542408041225, 0.277525006355607,          0.277525006355607, 0.282489779359316, 0.14195902454703,          0.197201307651512, 0.414064606154384, 0.295449456212788,          0.312698200175978, 0.217341234217998), PROX_PARK = c(1.659682039687,          1.71136953372848, 1.73691437359179, 1.76668334590621,          1.59201213147604, 1.52292224478236, 1.52292224478236,          1.77227256709076, 1.52292224478236, 1.70853765465547,          1.70853765465547, 1.77227256709076, 1.77227256709076,          1.55223981690243, 1.51686048726609, 1.79335149216305,          1.68789157401301, 1.76906915549279, 1.78460824921244,          1.27300714898888), PROX_GOOD_PRISCH = c(5.57470277830303,          5.62322031775431, 5.65284274036128, 5.67955556528646,          5.50129862889456, 5.43570837857945, 5.43570837857945,          5.68167095374807, 5.43570837857945, 5.62289607338158,          5.62289607338158, 5.68167095374807, 5.68167095374807,          5.45814117537329, 5.42826997650874, 5.7030752613132,          5.57754198399205, 5.7298925008129, 5.77937603269072,          5.17863906457975), PROX_MALL = c(0.462705775504015, 0.517951444315281,          0.544441659044551, 0.571430807201143, 0.405991175981987,          0.329425359540921, 0.329425359540921, 0.582562895872492,          0.329425359540921, 0.475045953779526, 0.475045953779526,          0.582562895872492, 0.582562895872492, 0.377565489031552,          0.338911837083335, 0.466036051693473, 0.547412994688805,          0.426875162675013, 0.482269498416602, 0.243284841315127         ), PROX_CHAS = c(0.0888572682655253, 3.54155757628082e-08,          0.0706873614354785, 0.0590253437170886, 0.12657377242065,          0.188783823394846, 0.188783823394846, 0.0707174365033835,          0.188783823394846, 0.0420419616737589, 0.0420419616737589,          0.0707174365033835, 0.0707174365033835, 0.179884741524278,          0.18872293939054, 0.162368565956873, 0.219091723429967,          0.270793953405505, 0.280031834846542, 0.132339190026647         ), PROX_SUPERMARKET = c(0.124391003677116, 0.199383936085002,          0.0706874850207218, 0.199153546859355, 0.248308073473709,          0.235757849482592, 0.235757849482592, 0.25307995359875,          0.235757849482592, 0.0420421510628514, 0.0420421510628514,          0.25307995359875, 0.25307995359875, 0.299769914037237,          0.188722783027928, 0.162368758687164, 0.41091265647621,          0.270794118098451, 0.280032026158491, 0.226949559622758         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 2L,          2L, 1L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 0L, 1L, 0L, 0L, 1L         ), WITHIN_350M_CHILDCARE = c(5L, 5L, 5L, 4L, 5L, 6L,          6L, 4L, 6L, 5L, 5L, 4L, 4L, 6L, 6L, 4L, 3L, 5L, 3L, 7L         ), WITHIN_350M_BUS = c(5L, 4L, 6L, 4L, 5L, 6L, 6L, 3L,          6L, 7L, 7L, 3L, 3L, 5L, 8L, 8L, 3L, 6L, 6L, 9L), WITHIN_1KM_PRISCH = c(4L,          3L, 3L, 3L, 4L, 4L, 4L, 3L, 4L, 4L, 4L, 3L, 3L, 4L, 4L,          3L, 3L, 4L, 3L, 5L), DNeighbour = c(0, 94.4326050093382,          105.929867926349, 121.081704585999, 133.102476461163,          147.601046747993, 151.109889092016, 151.240322931874,          151.987409066132, 156.837738611446, 157.993056054959,          159.745209626804, 161.379796812775, 191.0261905498, 256.316342378163,          276.781369814567, 291.946728912786, 393.48778642701,          395.527325908289, 468.6818498585)), row.names = c("989",      "267", "633", "217", "277", "207", "966", "58", "623", "33",      "100", "840", "205", "519", "329", "609", "120", "489", "323",      "880"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.920455241372085,      0.900442536156997, 0.870970045589035, 0.845200451598051,      0.811477289531299, 0.802903453810689, 0.802581745385173,      0.800734996215412, 0.788577501088305, 0.78563938225488, 0.781152902801742,      0.776934612456248, 0.6953509825785, 0.491280204758363, 0.424123192825388,      0.37452297041486, 0.0871043842566989, 0.0828337993623046,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1134768970 
R squared (OOB):                  0.2568867 

$Forests[[990]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(370000, 385000, 353000,      398888, 385000, 405000, 330000, 369988, 365000, 350000, 370000,      390000, 345000, 330000, 378888, 425000, 356888, 370000, 374000,      375000), floor_area_sqm = c(93, 93, 93, 93, 93, 93, 85, 91,      91, 91, 90, 100, 85, 91, 90, 92, 91, 90, 94, 90), storey_order = c(3L,      5L, 1L, 6L, 4L, 6L, 4L, 4L, 5L, 1L, 2L, 6L, 6L, 3L, 6L, 3L,      5L, 3L, 3L, 4L), remaining_lease_mths = c(1127, 1140, 1136,      1127, 1138, 1138, 992, 1002, 993, 992, 1016, 942, 968, 951,      949, 1059, 963, 997, 987, 986), PROX_CBD = c(12.9599687546274,      12.9599687546274, 12.9273038019752, 12.9439612539798, 12.9439612539798,      12.9439612539798, 13.0825190214061, 13.2138793761114, 13.2138793761114,      12.6773565587662, 13.0393088300804, 12.9172885276263, 13.131637538161,      12.402570085049, 12.4403773011877, 13.6873856248974, 13.1584578321731,      13.5299248791723, 13.4804039164095, 13.5741440973944), PROX_ELDERLYCARE = c(0.230213196902471,      0.230213196902471, 0.250608726248769, 0.119102012768026,      0.119102012768026, 0.119102012768026, 0.120371550198491,      0.200446926946864, 0.200446926946864, 0.36284597954094, 0.38924985743242,      0.440978457512705, 0.425459762987539, 0.628872951670854,      0.624054710630084, 0.720975229682918, 0.528614390300154,      0.737190256849548, 0.746393599063579, 0.759293685927778),          PROX_HAWKER = c(2.16699861471209, 2.16699861471209, 2.14952956067865,          2.07494386608678, 2.07494386608678, 2.07494386608678,          1.90213677974947, 1.87231067409155, 1.87231067409155,          1.72249172765999, 1.75849952292251, 1.76689210194785,          1.67102672130552, 1.50745216628998, 1.46996215979098,          1.83406121528111, 1.59466084315792, 1.28441999759135,          1.28815813567136, 1.13978469441664), PROX_MRT = c(0.576831878931421,          0.576831878931421, 0.585364307317434, 0.464899886897548,          0.464899886897548, 0.464899886897548, 0.30821900832469,          0.348476568009787, 0.348476568009787, 0.142163643631393,          0.103022581922205, 0.0642144868642362, 0.197259382412543,          0.198968515523371, 0.140157494228817, 0.19923660487806,          0.258879114766752, 0.189597864599581, 0.26513727845816,          0.147719870982538), PROX_PARK = c(0.828547076231476,          0.828547076231476, 0.834972281659159, 0.700809394437081,          0.700809394437081, 0.700809394437081, 0.557623544885242,          0.701388397724732, 0.701388397724732, 0.484105342641425,          0.291844359651056, 0.18581491955197, 0.350705699368152,          0.61879465488716, 0.525489875872169, 0.855123415409032,          0.332476768251147, 0.695004999747215, 0.640650351334918,          0.739375101722708), PROX_GOOD_PRISCH = c(4.35761410397793,          4.35761410397793, 4.33782029579385, 4.27162250172191,          4.27162250172191, 4.27162250172191, 4.27923006279343,          4.43819501492863, 4.43819501492863, 3.92066991749349,          4.09066115622083, 3.96344124390297, 4.16094245740848,          3.69141799128789, 3.6640626331803, 4.98236347160825,          4.13557899544262, 4.45977917937361, 4.38951064564596,          4.41976113712118), PROX_MALL = c(0.630320880177991, 0.630320880177991,          0.664096204002356, 0.646092130793046, 0.646092130793046,          0.646092130793046, 0.482494809972804, 0.411800643307333,          0.411800643307333, 0.485078273736912, 0.199839805040887,          0.125441786165087, 0.249640338015364, 0.407881748949563,          0.37643645467035, 0.138188079312201, 0.231810009894563,          0.598877544697789, 0.548104683226502, 0.656440732478167         ), PROX_CHAS = c(0.256311352337612, 0.256311352337612,          0.273668945808659, 0.136400058110832, 0.136400058110832,          0.136400058110832, 0.1115602293269, 0.186991486151685,          0.186991486151685, 0.334175310205776, 0.19843851708658,          0.146232137849481, 0.23569948169583, 0.407881782403473,          0.376436475429729, 0.138188055488585, 0.20604200841638,          0.124645472322039, 0.196586841411628, 0.175269995719201         ), PROX_SUPERMARKET = c(0.621743565428055, 0.621743565428055,          0.655577492568061, 0.636728053790567, 0.636728053790567,          0.636728053790567, 0.482493892596986, 0.40197012970004,          0.40197012970004, 0.485077395132212, 0.199839014107547,          0.125440795942109, 0.249639808314143, 0.451295114828249,          0.426522673463594, 0.147450463248511, 0.231809873410795,          0.181636181040517, 0.253358431108118, 0.3594639622224         ), WITHIN_350M_KINDERGARTEN = c(0L, 0L, 0L, 0L, 0L, 0L,          0L, 0L, 0L, 1L, 2L, 2L, 1L, 0L, 0L, 1L, 1L, 4L, 3L, 2L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 4L, 4L, 4L,          7L, 5L, 5L, 8L, 8L, 9L, 5L, 3L, 4L, 6L, 6L, 5L, 5L, 6L         ), WITHIN_350M_BUS = c(3L, 3L, 3L, 3L, 3L, 3L, 4L, 2L,          2L, 13L, 7L, 9L, 7L, 9L, 11L, 7L, 7L, 8L, 9L, 10L), WITHIN_1KM_PRISCH = c(4L,          4L, 4L, 4L, 4L, 4L, 5L, 6L, 6L, 4L, 7L, 7L, 7L, 4L, 4L,          5L, 7L, 6L, 5L, 9L), DNeighbour = c(0, 5.90053464270028,          31.4639911494014, 125.054834678693, 131.67502891908,          132.127088758369, 344.888968292982, 347.285764239909,          352.336384522924, 455.12167217684, 622.243560630308,          657.15735806036, 658.841480452237, 668.657386102181,          700.924185512273, 728.825736340222, 758.139978731211,          941.277026908381, 962.856557956226, 1121.2804589251)), row.names = c("990",      "95", "462", "936", "732", "882", "886", "313", "474", "400",      "141", "887", "153", "80", "444", "4", "339", "165", "72",      "15"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.999944616779736,      0.998425806574948, 0.975277464254773, 0.972609282793276,      0.972422204235942, 0.819733791050584, 0.817346155027335,      0.812272309962898, 0.697641863879702, 0.47892132077235, 0.431009383655559,      0.428697901431648, 0.415233385363207, 0.371169558794952,      0.333515037101429, 0.294672904137142, 0.0872000392281511,      0.068966299884796, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       514468454 
R squared (OOB):                  0.08900538 

$Forests[[991]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(455000, 465000, 450000,      418000, 385000, 365000, 4e+05, 430000, 4e+05, 410000, 425000,      435000, 410000, 390000, 420000, 373000, 4e+05, 398000, 371000,      330000), floor_area_sqm = c(106, 106, 93, 112, 90, 91, 90,      91, 91, 93, 93, 92, 92, 90, 92, 92, 92, 92, 91, 105), storey_order = c(4L,      2L, 4L, 5L, 3L, 4L, 3L, 4L, 2L, 4L, 4L, 4L, 3L, 2L, 5L, 1L,      1L, 2L, 2L, 1L), remaining_lease_mths = c(933, 933, 950,      904, 1060, 1061, 953, 962, 956, 1117, 1126, 1129, 1131, 947,      1134, 1128, 1127, 1136, 957, 896), PROX_CBD = c(17.1634204962367,      17.1401277939721, 17.4336546583772, 17.2048826778539, 17.6242343596777,      17.5974072281911, 17.5759295796121, 17.4594236905894, 17.5146993337396,      17.3263676504413, 17.3263676504413, 17.2397585888566, 17.2397585888566,      17.5579663674298, 17.2397585888566, 17.1731083577317, 17.1731083577317,      17.26435404508, 17.630719557776, 17.9794873864528), PROX_ELDERLYCARE = c(0.565792923614884,      0.586863575497558, 0.825709875044437, 0.400468425457175,      0.892136309268664, 0.819477307137174, 1.07156662032258, 1.1429422216578,      1.21552371031002, 0.561119780492452, 0.561119780492452, 0.500148198332671,      0.500148198332671, 1.26304449634962, 0.500148198332671, 0.456899326246073,      0.456899326246073, 0.542806768712765, 1.35614304544574, 1.20397588034421     ), PROX_HAWKER = c(0.666841975849823, 0.685044657792881,      0.841716009165303, 0.498365875295267, 0.816419857336687,      0.922900854400271, 0.622851592932912, 0.704564458032275,      0.65109908849923, 0.631285601786086, 0.631285601786086, 0.55990768529081,      0.55990768529081, 0.610726758846462, 0.55990768529081, 0.507233229895407,      0.507233229895407, 0.598096651463893, 0.550798352023498,      0.736691454978467), PROX_MRT = c(0.463116738810145, 0.418422993771755,      0.463093751675267, 0.87869292375624, 0.729175757939742, 0.830609903675807,      0.449846795062068, 0.304209523777939, 0.367017506823782,      1.13344401626098, 1.13344401626098, 1.16124452414741, 1.16124452414741,      0.415424130147435, 1.16124452414741, 1.18009183772516, 1.18009183772516,      1.20599959693509, 0.481509556817778, 1.05284557964442), PROX_PARK = c(0.505224516024672,      0.454841043819919, 0.609424449579261, 0.9054780070858, 0.830497330619545,      0.751240825934154, 0.650211227804106, 0.515475588097358,      0.57589083993138, 0.872985599051717, 0.872985599051717, 0.959994438388966,      0.959994438388966, 0.622915525490857, 0.959994438388966,      1.02763138312455, 1.02763138312455, 0.937816003807321, 0.706852169587072,      0.555889077383573), PROX_GOOD_PRISCH = c(6.50789265243056,      6.48254224033906, 6.77374769998522, 6.57740517739392, 6.97273607492461,      6.95474206477502, 6.90999703096039, 6.79149624878531, 6.84682201594428,      6.72174636420399, 6.72174636420399, 6.64012383316355, 6.64012383316355,      6.89020500321914, 6.64012383316355, 6.57664814247058, 6.57664814247058,      6.66937916554136, 6.96345421686322, 7.33264137396139), PROX_MALL = c(0.353588302636786,      0.306862579253759, 0.404491618549369, 0.446026044391999,      0.671391539314818, 0.757845794253982, 0.456006423255308,      0.366883459562171, 0.437698049352173, 0.530342726071102,      0.530342726071102, 0.450738515511335, 0.450738515511335,      0.488271313828636, 0.450738515511335, 0.392080122681935,      0.392080122681935, 0.484724019608978, 0.581015113036356,      0.387548928263219), PROX_CHAS = c(0.171584438209325, 0.133156315003352,      0.260153188296123, 0.130380344727655, 0.0497500971788425,      0.175468897673469, 0.401255348981324, 0.293637386768921,      0.354009255575758, 0.254413742194056, 0.254413742194056,      0.221318263528924, 0.221318263528924, 0.40162373925963, 0.221318263528924,      0.214971829128206, 0.214971829128206, 0.270084445320348,      0.481496129777697, 0.324283073315245), PROX_SUPERMARKET = c(0.320581809168482,      0.27639551573194, 0.355873580059747, 0.445962312606475, 0.442456788826315,      0.336744227428862, 0.338457664260807, 0.217741105325511,      0.288534867112482, 0.529573977763673, 0.529573977763673,      0.449846933875903, 0.449846933875903, 0.339170507836652,      0.449846933875903, 0.391090025360665, 0.391090025360665,      0.483753219919624, 0.432325009404537, 0.337417678694655),          WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 3L, 0L, 1L,          1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 4L, 2L, 2L, 3L,          5L, 6L, 6L, 3L, 3L, 4L, 4L, 6L, 4L, 4L, 4L, 4L, 6L, 3L         ), WITHIN_350M_BUS = c(8L, 7L, 12L, 8L, 12L, 6L, 8L,          8L, 10L, 5L, 5L, 6L, 6L, 9L, 6L, 8L, 8L, 6L, 8L, 9L),          WITHIN_1KM_PRISCH = c(4L, 4L, 6L, 3L, 4L, 4L, 4L, 4L,          4L, 3L, 3L, 3L, 3L, 4L, 3L, 2L, 2L, 3L, 4L, 5L), DNeighbour = c(0,          45.7753743550057, 288.395434315815, 413.972598426573,          473.328225080789, 497.466660784115, 516.981114698664,          581.273508941211, 650.831235001645, 674.507878040732,          676.432577920856, 699.976906544673, 700.275481870705,          700.556591905783, 705.746027728002, 719.921569829431,          722.399073935544, 746.105164805902, 797.325468532766,          839.23379761448)), row.names = c("991", "530", "535",      "889", "300", "720", "357", "937", "93", "797", "925", "290",      "86", "545", "280", "985", "507", "847", "547", "870"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.994058701618131, 0.777766347447322, 0.57256508700248, 0.464992399396405,      0.420723656652943, 0.38505099723447, 0.270682881230594, 0.158873768100273,      0.125341692675188, 0.122741288736874, 0.0926184862444435,      0.092257534296811, 0.0919182001892645, 0.0857426138518498,      0.0697616648243302, 0.0671073198115069, 0.0439419028256503,      0.0094827063953858, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1058163884 
R squared (OOB):                  0.02416571 

$Forests[[992]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(313000, 305000, 315000,      339000, 325000, 350000, 338000, 365000, 388000, 415000, 320000,      364000, 432000, 410000, 420000, 345000, 305000, 323000, 333000,      335000), floor_area_sqm = c(99, 99, 102, 102, 91, 102, 102,      92, 92, 92, 101, 100, 92, 92, 92, 102, 99, 101, 99, 100),          storey_order = c(4L, 1L, 2L, 3L, 2L, 4L, 4L, 1L, 1L,          2L, 1L, 2L, 4L, 2L, 1L, 4L, 4L, 1L, 3L, 4L), remaining_lease_mths = c(918,          921, 913, 923, 970, 923, 922, 1135, 1134, 1125, 924,          921, 1123, 1136, 1121, 926, 930, 937, 927, 927), PROX_CBD = c(17.8728040148932,          17.9733391318796, 17.9994058772431, 17.9456645257603,          17.7083177660008, 18.0569924715364, 18.1611534549189,          17.8160591469996, 17.8160591469996, 17.7609329148819,          18.0902268845521, 17.9386403893839, 17.7152334804069,          17.7152334804069, 17.7152334804069, 18.236688278315,          17.5508688704121, 17.4093430047218, 17.6933534103443,          17.5934100264964), PROX_ELDERLYCARE = c(0.330981516384048,          0.376016337241346, 0.430537495183344, 0.476454782767532,          0.378187975507624, 0.59750504274373, 0.519233937445895,          0.101440000613482, 0.101440000613482, 0.0656405943898966,          0.706169610995159, 0.714833653499633, 0.0982899037000713,          0.0982899037000713, 0.0982899037000713, 0.732088251039709,          0.169110695114153, 0.347622879353981, 0.174626049595048,          0.183364759720919), PROX_HAWKER = c(0.446535534086157,          0.501520555884575, 0.472244893923117, 0.3648710200987,          0.340346390827249, 0.391180253405874, 0.617364695979906,          0.755409785256781, 0.755409785256781, 0.769612072642938,          0.370412154176866, 0.201936965562497, 0.815736811633103,          0.815736811633103, 0.815736811633103, 0.537987121264097,          0.736171211400498, 0.646263997619536, 0.89059259132002,          0.860123145519879), PROX_MRT = c(0.4868918768976, 0.52882455357406,          0.492638498779759, 0.385567417899789, 0.403335562748004,          0.384524332485438, 0.623413162025338, 0.729659889526201,          0.729659889526201, 0.714624513867521, 0.341202563029131,          0.168914117564514, 0.674833365376197, 0.674833365376197,          0.674833365376197, 0.511061821383635, 0.804998329325227,          0.722831181419355, 0.606842528225389, 0.675234243169572         ), PROX_PARK = c(1.69875568186822, 1.62685700377268,          1.65421298847909, 1.76180373116006, 1.86766019581863,          1.77011013021076, 1.52418818882418, 1.49250729308795,          1.49250729308795, 1.52091098886828, 1.8531048262974,          1.99379565561889, 1.52614967260321, 1.52614967260321,          1.52614967260321, 1.7164330470264, 1.71737354643835,          1.92330050908574, 1.49905344652453, 1.60355051242194),          PROX_GOOD_PRISCH = c(8.43952013253886, 8.54142359534323,          8.5589292690065, 8.49089982759618, 8.26299778187914,          8.58956131155308, 8.72758527833631, 8.44175881664207,          8.44175881664207, 8.39120163011403, 8.60631027953587,          8.4444135457925, 8.35538963357137, 8.35538963357137,          8.35538963357137, 8.76378557853615, 8.17476856172454,          8.00696366683488, 8.34857469941546, 8.24279341902993),          PROX_MALL = c(0.330972758922268, 0.395841490391381, 0.446560923090423,          0.428159644756295, 0.335143296665789, 0.407254736414821,          0.475604736810637, 0.183177100903513, 0.183177100903513,          0.147411017927622, 0.342860958869265, 0.238372860218233,          0.158599011552442, 0.158599011552442, 0.158599011552442,          0.240339889961931, 0.109574351562212, 0.265229996889848,          0.223321337745784, 0.188384425612312), PROX_CHAS = c(0.330972805611547,          0.364030465322827, 0.324811070171065, 0.218909691095897,          0.30242004444134, 0.222103720735081, 0.405258493214775,          0.183177099178452, 0.183177099178452, 0.14741100268466,          0.209799590563819, 0.076984763134016, 0.158598978424062,          0.158598978424062, 0.158598978424062, 0.184864523484869,          0.048268048492383, 0.23105278557526, 0.21485891447712,          0.151781240761386), PROX_SUPERMARKET = c(0.300218301814749,          0.356071330024396, 0.408691343873882, 0.365864675212809,          0.332189289926598, 0.385535197909366, 0.475604214408431,          0.137568853383185, 0.137568853383185, 0.113022549454425,          0.342860053820009, 0.171190500184261, 0.144345834884574,          0.144345834884574, 0.144345834884574, 0.240339157209448,          0.15801430638391, 0.313773352526138, 0.218378438252518,          0.209139790637019), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L,          2L, 1L, 1L, 2L, 1L), WITHIN_350M_CHILDCARE = c(4L, 3L,          4L, 3L, 6L, 4L, 5L, 8L, 8L, 8L, 6L, 6L, 6L, 6L, 6L, 6L,          7L, 7L, 5L, 6L), WITHIN_350M_BUS = c(8L, 11L, 9L, 8L,          7L, 9L, 10L, 15L, 15L, 10L, 7L, 8L, 12L, 12L, 12L, 7L,          12L, 13L, 13L, 12L), WITHIN_1KM_PRISCH = c(7L, 7L, 7L,          6L, 5L, 6L, 6L, 6L, 6L, 6L, 5L, 5L, 7L, 7L, 7L, 6L, 6L,          5L, 8L, 8L), DNeighbour = c(0, 104.487675657846, 131.294744353893,          146.852786882527, 187.291304478471, 269.260765115965,          292.259136537439, 329.55396267144, 335.585860363464,          362.059521328026, 380.380911439218, 390.988207556909,          418.963894161647, 422.389904507569, 428.671495441128,          429.115511365248, 429.171027386395, 481.782795849387,          500.455478444817, 506.855109021594)), row.names = c("992",      "179", "177", "20", "544", "491", "330", "402", "53", "365",      "74", "638", "298", "13", "289", "227", "438", "174", "112",      "419"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.916811206686299,      0.870301110839586, 0.839156091937209, 0.745559005327432,      0.515216797975298, 0.445579873087099, 0.333215536253659,      0.315429588610644, 0.239844388204167, 0.190786166580077,      0.163977620759649, 0.100324684491486, 0.0933428035047154,      0.0810603453324629, 0.0802183448034006, 0.0801133161984043,      0.00930953542309466, 0.000629653023281328, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       783246030 
R squared (OOB):                  0.5189529 

$Forests[[993]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(380000, 580000, 705000,      708000, 545000, 416000, 710000, 685000, 430000, 390000, 520000,      518000, 740000, 678000, 790000, 575000, 290000, 451000, 488000,      310000), floor_area_sqm = c(89, 90, 90, 90, 101, 91, 101,      102, 92, 84, 101, 93, 95, 92, 95, 101, 87, 83, 104, 83.1),          storey_order = c(5L, 5L, 7L, 5L, 1L, 4L, 2L, 4L, 2L,          1L, 1L, 4L, 4L, 3L, 6L, 6L, 1L, 8L, 1L, 3L), remaining_lease_mths = c(653,          1035, 1041, 1031, 938, 713, 933, 929, 687, 783, 929,          736, 954, 1103, 946, 932, 643, 604, 776, 613), PROX_CBD = c(4.19301197437796,          3.73787601157873, 3.66612298934168, 3.56091441303422,          3.59494173601466, 5.10609859014938, 4.27954241101507,          4.15915934561343, 5.17330173892321, 4.91139217141794,          4.23995407977096, 4.29040868967057, 4.09909964212454,          3.93031212371417, 4.0690703028165, 5.56255806753875,          4.35364804731157, 3.63056019358172, 4.16405648472164,          5.99387263807515), PROX_ELDERLYCARE = c(1.05465194719342,          0.836612932336762, 0.851600940224316, 0.885388735780595,          0.692364880740494, 0.320090253923576, 1.2084977158608,          1.31127122179184, 0.151830290872251, 0.53976690699019,          1.29004325258708, 1.28169673214061, 1.44919747885979,          0.159701117649001, 1.5676876481467, 0.0599829320550621,          0.402111762367986, 0.124703716495981, 0.434539750657667,          0.103488744511564), PROX_HAWKER = c(0.297392426102438,          0.15676751515481, 0.157376553669701, 0.210501859943959,          0.142789347249218, 0.333568708255903, 0.32780610994166,          0.296724849746491, 0.261285820740611, 0.526793317066312,          0.242979724501726, 0.224814451985556, 0.17841116959893,          0.374782156946409, 0.124697776657811, 0.248163252655802,          0.52502919100195, 0.0619655343942362, 0.502732414569621,          0.131941483902414), PROX_MRT = c(0.670866804568908, 0.349678715281184,          0.281331556481731, 0.1853881461208, 0.346622733589529,          0.549226257235714, 0.45128979061194, 0.361454140857751,          0.568944969773001, 0.348715950460643, 0.369514902074349,          0.386818680985449, 0.212082976996148, 0.57487373386568,          0.103251860461982, 0.389634730949481, 0.698417082344063,          0.188513622979597, 0.518003091395578, 0.422927302226303         ), PROX_PARK = c(1.34668044149268, 1.14436990313984,          1.07330463343821, 0.969171323132551, 1.03638785093261,          0.534309547143458, 0.496161896442625, 0.424082148410156,          0.375618223612072, 0.454973393404149, 0.410157320226128,          0.41256712340984, 0.271559050503854, 0.43227753152338,          0.13380185088312, 0.136342453682232, 0.0959047492621704,          0.634729277660292, 0.269719137898212, 0.775542593632535         ), PROX_GOOD_PRISCH = c(4.04417128338034, 4.42346384619917,          4.46068770698473, 4.51522724145722, 4.68517728936996,          3.68539306501406, 3.1984009939005, 3.27316539077024,          3.5160560831601, 3.07957394860643, 3.17375518133788,          3.11124078456354, 3.22696055518642, 4.55218800106713,          3.17062142916436, 3.30515733544794, 4.11088283479722,          4.47678155678584, 3.99853475328204, 3.79476022833587),          PROX_MALL = c(1.51326780463499, 1.03774509228272, 0.971442928620489,          0.87678025015548, 0.814872047472938, 1.13513631747826,          1.15459749844864, 1.03381347643634, 0.96360119165526,          0.779372162435287, 1.09860538958518, 1.14104925826379,          0.944512912155433, 1.09934779211931, 0.898524741072254,          0.719385659919303, 0.801857467962545, 0.917363569028491,          1.00998414702412, 1.29238059557114), PROX_CHAS = c(0.212246176955017,          0.0809467071188201, 0.108213750221125, 0.0998361253719761,          0.0573592222158038, 0.37199840586913, 0.151798893835737,          0.22718451096924, 0.213267381067323, 0.297280152993809,          0.128246501394164, 0.0683025043642396, 0.199996678091121,          0.304936065418075, 0.162166521351491, 0.174009235365936,          0.130252709580884, 0.112941217538546, 0.147909276913635,          3.57955945681819e-08), PROX_SUPERMARKET = c(0.306178228663922,          0.184584314799668, 0.131005301990959, 0.103744685928207,          0.0573596645426592, 0.424647979009491, 0.314587216673928,          0.31622643534726, 0.266791583668656, 0.212061147632098,          0.23908756643158, 0.200251285306447, 0.232527384837024,          0.35411008396507, 0.209119590970966, 0.173881454941229,          0.591301773724787, 0.0867224629960944, 0.506391752127701,          0.147638600898363), WITHIN_350M_KINDERGARTEN = c(0L,          1L, 1L, 1L, 1L, 0L, 3L, 4L, 2L, 1L, 4L, 3L, 5L, 1L, 4L,          1L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(1L, 3L,          3L, 3L, 3L, 4L, 2L, 10L, 4L, 2L, 4L, 2L, 9L, 3L, 8L,          4L, 4L, 5L, 6L, 2L), WITHIN_350M_BUS = c(5L, 7L, 7L,          9L, 4L, 4L, 2L, 4L, 4L, 7L, 4L, 4L, 8L, 5L, 5L, 2L, 6L,          4L, 5L, 6L), WITHIN_1KM_PRISCH = c(1L, 0L, 0L, 0L, 0L,          3L, 2L, 2L, 3L, 2L, 2L, 2L, 1L, 1L, 1L, 3L, 2L, 2L, 3L,          2L), DNeighbour = c(0, 500.978372459107, 565.450821138586,          668.272697146732, 737.312845200048, 917.559431006967,          975.066796977616, 977.202106779754, 1003.06559218486,          1016.73233145906, 1039.44236911848, 1089.0057324821,          1106.67126764404, 1177.94617633115, 1243.47446868115,          1410.40265167924, 1488.52919780382, 1543.1442852844,          1709.00939447213, 1800.11948807874)), row.names = c("993",      "823", "903", "881", "997", "853", "767", "763", "270", "251",      "145", "286", "784", "801", "575", "596", "532", "237", "223",      "752"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.851093939963248,      0.81239499779895, 0.743358443739535, 0.69261537054594, 0.547872489068971,      0.499277870333871, 0.49746150381438, 0.475415776340886, 0.463741073449333,      0.444322226991151, 0.401981027284704, 0.38694592938608, 0.326953477201788,      0.273353567977274, 0.149088567113012, 0.0999994153739943,      0.0702940207815351, 0.00973478332780211, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11828605838 
R squared (OOB):                  0.4793494 

$Forests[[994]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(405000, 420000, 430000,      405000, 415000, 395000, 450000, 448000, 410000, 393000, 455000,      430000, 360000, 380000, 380000, 367000, 362500, 412000, 495000,      537000), floor_area_sqm = c(105, 112, 104, 104, 103, 106,      106, 116, 106, 103, 113, 107, 84, 106, 107, 104, 103, 104,      93, 93), storey_order = c(3L, 4L, 2L, 2L, 3L, 2L, 4L, 3L,      2L, 2L, 5L, 4L, 3L, 1L, 2L, 1L, 3L, 2L, 2L, 4L), remaining_lease_mths = c(856,      866, 861, 862, 834, 834, 834, 827, 871, 818, 824, 868, 811,      887, 871, 879, 819, 878, 1131, 1128), PROX_CBD = c(15.3605597168545,      15.3605597168545, 15.4019609662575, 15.4019609662575, 15.1256206124729,      15.1256206124729, 15.1256206124729, 15.1039483662242, 15.428944563277,      14.8805910833212, 14.8805910833212, 15.2985874116244, 14.7472020389823,      15.0291078847704, 15.2330821453909, 14.66420827852, 14.3801998083441,      14.1313829663274, 14.1234549986629, 14.1022978560303), PROX_ELDERLYCARE = c(1.7630974884403,      1.7630974884403, 1.7026350967472, 1.7026350967472, 1.5866097118695,      1.5866097118695, 1.5866097118695, 1.55233595008815, 1.63977306379889,      1.53481387371296, 1.53481387371296, 1.41400995500373, 1.19052284520552,      1.09928331705025, 1.22808745848404, 0.719957479461771, 0.709377020411434,      0.836104821253693, 1.35242241046818, 1.39999761805574), PROX_HAWKER = c(0.874437271649647,      0.874437271649647, 0.985391408166863, 0.985391408166863,      0.674198133913936, 0.674198133913936, 0.674198133913936,      0.672854909342646, 1.09717995764468, 0.395563323563994, 0.395563323563994,      1.16406043263713, 0.606039227085063, 1.15922930524208, 1.40985252978436,      1.17971772396452, 0.928921275219278, 0.73352935155883, 0.458626901673037,      0.488105393549706), PROX_MRT = c(1.13238128237287, 1.13238128237287,      1.24252861976923, 1.24252861976923, 0.930587839854138, 0.930587839854138,      0.930587839854138, 0.927742831261867, 1.35104476777798, 0.650195396152393,      0.650195396152393, 1.40304810962874, 0.807097621625513, 1.36685465541241,      1.62235809597188, 1.12495588646837, 1.02650412956774, 0.735653331318593,      0.250036690549804, 0.255700458734308), PROX_PARK = c(0.852232892319188,      0.852232892319188, 0.934356673366442, 0.934356673366442,      0.625625874274951, 0.625625874274951, 0.625625874274951,      0.613453702116727, 1.02148060415503, 0.355836862982211, 0.355836862982211,      0.98341166564854, 0.432698189125414, 0.808345234949979, 0.633472210001671,      0.823954351824118, 0.71485218383349, 0.463826523913091, 0.469588575534173,      0.52092144022497), PROX_GOOD_PRISCH = c(3.77322944876988,      3.77322944876988, 3.78947597459801, 3.78947597459801, 3.54140201350838,      3.54140201350838, 3.54140201350838, 3.51513652285447, 3.79601078940401,      3.33079371618761, 3.33079371618761, 3.64472604970499, 3.13467644284063,      3.36640767040689, 3.56691345353299, 2.99834463762659, 2.72778429145315,      2.52734391167264, 2.69456588548322, 2.69832814229385), PROX_MALL = c(0.502295694435402,      0.502295694435402, 0.656741946143406, 0.656741946143406,      0.445444903624544, 0.445444903624544, 0.445444903624544,      0.472438990852491, 0.809004632748584, 0.390496575840073,      0.390496575840073, 0.597111778941966, 0.738705771798207,      0.486526360127578, 0.253259472709144, 0.669111824361406,      0.949257633150117, 0.66282583229379, 0.232476208076891, 0.257523814996123     ), PROX_CHAS = c(0.563239471741591, 0.563239471741591, 0.478794864158343,      0.478794864158343, 0.387886097439527, 0.387886097439527,      0.387886097439527, 0.353464796953762, 0.352996738297868,      0.448788349522024, 0.448788349522024, 0.0911939042613644,      0.19051372613691, 0.228652490110126, 0.210576528602503, 0.38494516455544,      0.453083161817035, 0.528800676490504, 0.147334233235439,      0.177701329016163), PROX_SUPERMARKET = c(0.187279197917694,      0.187279197917694, 0.1489144838969, 0.1489144838969, 0.411626017932148,      0.411626017932148, 0.411626017932148, 0.429218479578941,      0.252078878715955, 0.447693008221967, 0.447693008221967,      0.408284988301129, 0.326764101800336, 0.234691730121176,      0.21397076195142, 0.384052647553184, 0.513065398645433, 0.528799775767506,      0.147334782275979, 0.177702101069216), WITHIN_350M_KINDERGARTEN = c(0L,      0L, 0L, 0L, 2L, 2L, 2L, 2L, 0L, 2L, 2L, 2L, 3L, 2L, 3L, 1L,      0L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L,      2L, 2L, 2L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 3L, 4L,      4L), WITHIN_350M_BUS = c(10L, 10L, 9L, 9L, 6L, 6L, 6L, 7L,      11L, 5L, 5L, 13L, 9L, 8L, 12L, 7L, 2L, 6L, 13L, 11L), WITHIN_1KM_PRISCH = c(2L,      2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 3L,      3L, 2L, 1L, 1L), DNeighbour = c(0, 4.93762055515319, 156.041345785334,      158.734739018161, 233.840558963063, 234.138262984442, 243.307079220027,      265.841860567881, 314.319325715087, 499.911763869314, 507.660731043421,      537.31935441125, 647.990604575989, 774.371515267294, 888.949833470901,      1071.45059851753, 1121.53115019123, 1248.722754955, 1316.51135652253,      1350.46709856476)), row.names = c("994", "782", "495", "406",      "233", "483", "457", "188", "899", "639", "852", "934", "136",      "314", "428", "686", "3", "695", "212", "815"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.99997326411887, 0.973476397052575, 0.9725592819124, 0.940933438309195,      0.940785242736019, 0.936134669916562, 0.924000359528007,      0.894590774851943, 0.744715565557595, 0.737345035103907,      0.708449049080617, 0.592539741129944, 0.450510543726231,      0.321151376721286, 0.137291137359416, 0.0962915706883802,      0.021026187015979, 0.00246563867810905, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1969351923 
R squared (OOB):                  -0.00575074 

$Forests[[995]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(3e+05, 290000, 285000,      330000, 295000, 292000, 485000, 445000, 460000, 450000, 585000,      345000, 455000, 370000, 350000, 365000, 347000, 355000, 491000,      415000), floor_area_sqm = c(99, 92, 92, 103, 106, 104, 93,      93, 93, 93, 91, 114, 99, 90, 93, 104, 90, 106, 92, 104),          storey_order = c(1L, 4L, 1L, 2L, 1L, 2L, 10L, 7L, 7L,          4L, 10L, 2L, 2L, 3L, 3L, 2L, 2L, 1L, 9L, 2L), remaining_lease_mths = c(697,          690, 697, 937, 825, 828, 1112, 1117, 1135, 1131, 995,          839, 951, 977, 1018, 828, 971, 825, 1137, 875), PROX_CBD = c(14.8036441916204,          14.8961777358487, 14.6519123293037, 14.5165027597446,          14.7220636963442, 15.1374510187917, 14.8542518275748,          14.9897790388493, 15.0332592042754, 15.1194109037639,          14.2059144167977, 15.4582319270764, 14.3012013074868,          14.489397367385, 14.9930585550483, 15.6198573118901,          14.6079806280174, 15.6983328737326, 15.0782917837809,          15.8781143296649), PROX_ELDERLYCARE = c(0.0965145667339982,          0.090689252710872, 0.254409923718011, 0.389463724969334,          0.327768156942021, 0.426629771798313, 0.671766786446111,          0.622451014094897, 0.653175957864657, 0.632846087105322,          0.923774065318005, 0.319622441582349, 0.93663965535868,          0.929205058584809, 0.766085625885291, 0.497975502399054,          0.966138977916587, 0.587171684565488, 0.811417024562957,          0.633288957745621), PROX_HAWKER = c(1.07372228066705,          1.02395142210687, 1.21550185558774, 1.0617726338971,          1.39864823048803, 1.49196951764411, 0.3485650804915,          0.366862032582334, 0.344843972730765, 0.399490681633122,          0.829910539202106, 1.7245004017694, 0.693090021451824,          0.478869651742105, 0.230353911902381, 1.6566914426712,          0.31691894051251, 1.64071314431986, 0.241120378832392,          1.79301822351461), PROX_MRT = c(0.363746184676816, 0.437229774651496,          0.218405848235923, 0.0901878473788138, 0.0523025726452692,          0.164193456307044, 0.41695674877223, 0.550628186781769,          0.587916938270161, 0.674936552563307, 0.127617925270923,          0.233994550027949, 0.189883903502813, 0.0437298005890327,          0.545901722651448, 0.297714051615291, 0.188565130994124,          0.341199960643831, 0.604690005035212, 0.159697283923578         ), PROX_PARK = c(0.497172938499345, 0.600185611341118,          0.325486875199719, 0.278686390612803, 0.432331111477529,          0.786093050092807, 1.00246315577637, 0.886983007034967,          0.858154923175006, 0.773048101136696, 0.716522496183652,          0.998254167239372, 0.812876767906526, 0.935596264101672,          0.937160160632966, 0.782164021798725, 1.07918529837209,          0.686441032296595, 0.889047622652367, 0.678969217742802         ), PROX_GOOD_PRISCH = c(5.17691715074399, 5.28070608730985,          4.99149337529414, 4.93093863547281, 4.99661753747661,          5.37568176340172, 5.49301939379528, 5.61521578968116,          5.67093979106873, 5.74516136190441, 4.85056771881294,          5.64801716169655, 4.98177209241419, 5.1963266927986,          5.6774973866509, 5.84268664292306, 5.35450137646782,          5.93514971647738, 5.77803713337603, 6.09357654169244),          PROX_MALL = c(0.278400001713995, 0.252669380741675, 0.377416550632833,          0.38830118917563, 0.343882807046916, 0.249545786638779,          0.497662931100388, 0.615054651957031, 0.671424081833306,          0.744876648240093, 0.148456555084967, 0.455554164929496,          0.236735170365795, 0.345992784345898, 0.691703794200818,          0.394873468760787, 0.479398555662368, 0.310729806849059,          0.79347213158724, 0.145699923430919), PROX_CHAS = c(0.190291087196022,          0.252669404800451, 0.0736014920224838, 0.0918929757518676,          0.141205029857343, 0.193150290660334, 0.139715392485403,          0.101756162724623, 0.0438337826764906, 0.0812821875339188,          0.148456588323488, 0.158017550603297, 0.214782230853987,          3.77135010377852e-08, 0.094086780959658, 0.28481487293308,          0.166948923507452, 0.261893114523038, 0.128222338920945,          0.0723222156351423), PROX_SUPERMARKET = c(0.190291125096353,          0.186322037460738, 0.128878263549785, 0.354026220875794,          0.141204847242777, 0.200567401454574, 0.118312809115248,          0.215874380558773, 0.238848984717478, 0.325050502595441,          0.154204342539502, 0.387973705585917, 0.172194506074768,          0.31785895032531, 0.189746195069109, 0.407244625741832,          0.218811722485387, 0.322774913149109, 0.286089695736963,          0.157892159590583), WITHIN_350M_KINDERGARTEN = c(1L,          1L, 1L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 2L, 1L,          1L, 2L, 1L, 1L, 0L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 5L, 3L, 5L, 3L, 3L, 3L, 3L, 7L, 8L, 6L, 5L, 3L, 3L,          2L, 4L, 3L, 3L), WITHIN_350M_BUS = c(9L, 7L, 9L, 7L,          8L, 11L, 11L, 11L, 10L, 12L, 17L, 14L, 15L, 13L, 11L,          9L, 13L, 8L, 10L, 7L), WITHIN_1KM_PRISCH = c(3L, 3L,          3L, 2L, 2L, 2L, 4L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 4L, 3L,          5L, 3L, 4L, 3L), DNeighbour = c(0, 104.150463554795,          193.594427361145, 292.37375367845, 326.76827143755, 507.894148179228,          726.22294632634, 751.937953920974, 797.807798339071,          818.236641695159, 834.722613543091, 842.369333297559,          851.518614200027, 857.827978570239, 889.941843618986,          897.107585285429, 936.217443774335, 948.985660496685,          971.709438285595, 1136.86238830294)), row.names = c("995",      "87", "986", "592", "786", "387", "159", "500", "865", "299",      "146", "383", "717", "374", "836", "304", "385", "196", "568",      "510"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.983284848932219,      0.942844642677559, 0.872095415715096, 0.841593473169648,      0.640662169362951, 0.350392839289884, 0.316440069771036,      0.257585575871077, 0.232309868110301, 0.212429691910192,      0.203381668526397, 0.192710073948955, 0.185453447547499,      0.149936187269874, 0.142361354877078, 0.103575467480042,      0.0919347534388441, 0.072596866499012, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       4177596872 
R squared (OOB):                  0.4000382 

$Forests[[996]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(465000, 450000, 475000,      455000, 465000, 455000, 460000, 490888, 545000, 485000, 470000,      460000, 452000, 420000, 403000, 450000, 530000, 450000, 437000,      525000), floor_area_sqm = c(90, 90, 92, 93, 95, 92, 92, 93,      93, 95, 93, 92, 95, 93, 90, 95, 95, 94, 94, 97), storey_order = c(5L,      2L, 5L, 4L, 4L, 5L, 3L, 5L, 3L, 6L, 5L, 3L, 3L, 1L, 3L, 3L,      4L, 4L, 3L, 3L), remaining_lease_mths = c(1132, 1134, 1098,      1096, 1110, 1108, 1097, 1141, 1134, 1113, 1125, 1107, 1121,      1101, 1053, 1126, 1106, 1123, 1120, 1098), PROX_CBD = c(14.6796515041342,      14.6796515041342, 14.3437499696049, 14.3469943525049, 14.3101587663686,      14.2694643570804, 14.2694643570804, 14.4799585140632, 14.4432157047801,      14.2445424628862, 14.2374266118925, 14.2518409016409, 14.2856092918761,      14.3298082323417, 14.2313196249897, 14.1366846915735, 14.4087790426081,      14.0429369190019, 14.0691382395842, 14.3488328635023), PROX_ELDERLYCARE = c(1.45102259724198,      1.45102259724198, 1.14464302293932, 1.07571195137499, 1.29024298571696,      1.14423906696184, 1.14423906696184, 1.06862824267944, 1.44181352445962,      1.24643506877499, 1.2819446304668, 0.985840321219444, 1.29536834443332,      0.943112693551276, 1.23431696680562, 1.17371591683522, 0.87860471100088,      1.1015647640471, 1.08280856328681, 0.805205193908325), PROX_HAWKER = c(0.836784965651702,      0.836784965651702, 0.74882220835846, 0.654543769257927, 0.961388959141492,      0.826638245470088, 0.826638245470088, 0.462243392197612,      1.1926703176924, 0.968852406622053, 1.02089221118434, 0.656651462258042,      1.14967766552968, 0.494981643036057, 1.20453145676494, 1.09084844555913,      0.295591155505828, 1.07710025413616, 1.21079813450924, 0.28631929470226     ), PROX_MRT = c(0.391052893274669, 0.391052893274669, 0.217663394995295,      0.131478587775223, 0.148967878322013, 0.30438768875815, 0.30438768875815,      0.082651796212049, 0.142722405117506, 0.184117552261459,      0.148741201515391, 0.189142279194464, 0.0748886383392391,      0.122691316210064, 0.14509881944895, 0.218319465176875, 0.258499173090988,      0.324573358240557, 0.281224364060027, 0.320519516131068),          PROX_PARK = c(0.566439778554251, 0.566439778554251, 0.636899975343007,          0.731552922713316, 0.444639968372477, 0.599699049952129,          0.599699049952129, 0.682350458092963, 0.164631246691225,          0.481320095248247, 0.440474428767772, 0.785709089572823,          0.297003339879563, 0.760551135167525, 0.30799989212087,          0.474063272255088, 0.572778275466331, 0.58019258504408,          0.468913262301943, 0.585388118838944), PROX_GOOD_PRISCH = c(5.51577006817018,          5.51577006817018, 5.1680916684458, 5.13548460888622,          5.21803047984022, 5.12184985907385, 5.12184985907385,          5.20136656590841, 5.44062149940817, 5.1542412945362,          5.16870486361587, 5.03443000866885, 5.27158847877433,          5.05687720866847, 5.24106386657147, 5.09375212835948,          5.07040230577432, 4.9857651679507, 5.07622831499557,          4.99658730632735), PROX_MALL = c(0.38618207223371, 0.38618207223371,          0.38589862433106, 0.480981762762808, 0.199960318099191,          0.351657486288216, 0.351657486288216, 0.64848155368644,          0.0864828813466827, 0.248497232357685, 0.22058685557285,          0.535261743386166, 0.136646142991964, 0.644100917109673,          0.200492724858517, 0.295276560881227, 0.48422641650143,          0.401409437181884, 0.352184781664103, 0.415696526053807         ), PROX_CHAS = c(0.367772140885018, 0.367772140885018,          0.0401042229543167, 0.0578525184286013, 0.199960275799137,          0.120456720485379, 0.120456720485379, 0.149921511006425,          0.0864829242311455, 0.185564313785613, 0.177995101264401,          0.121511881264649, 0.136646133179357, 0.116678641770301,          0.200492722653611, 0.0995517477546361, 0.263312743704905,          0.0207330025336023, 0.167321001424632, 0.232702657922268         ), PROX_SUPERMARKET = c(0.0442147517112349, 0.0442147517112349,          0.165776473264822, 0.0704323341151683, 0.199173279096103,          0.244158473149448, 0.244158473149448, 0.149922203205158,          0.0916346746399726, 0.185564776027004, 0.177995229543633,          0.121511691834874, 0.146294584623949, 0.116679779166118,          0.210915135620544, 0.0995512052866983, 0.263313051629592,          0.0207321820187816, 0.167319845962294, 0.232703172737007         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 1L,          1L, 1L, 0L, 1L, 0L, 2L, 0L, 2L, 0L, 0L, 1L, 1L, 1L, 1L         ), WITHIN_350M_CHILDCARE = c(4L, 4L, 8L, 7L, 8L, 10L,          10L, 6L, 4L, 9L, 8L, 10L, 6L, 7L, 6L, 8L, 6L, 6L, 8L,          6L), WITHIN_350M_BUS = c(4L, 4L, 8L, 8L, 6L, 9L, 9L,          6L, 5L, 7L, 6L, 9L, 8L, 9L, 6L, 8L, 10L, 9L, 9L, 9L),          WITHIN_1KM_PRISCH = c(4L, 4L, 5L, 4L, 7L, 6L, 6L, 4L,          5L, 7L, 7L, 6L, 7L, 5L, 6L, 7L, 5L, 7L, 7L, 6L), DNeighbour = c(0,          7.00104434593016, 344.92275628713, 385.676844531694,          390.244567095868, 405.108786320237, 408.961024211611,          410.049949421497, 438.978502714258, 449.910266110879,          472.340631940716, 486.013667099569, 494.956160760879,          511.946051587142, 571.714865024206, 575.164366287321,          621.044261227272, 653.983604195085, 686.965313693285,          693.159729630274)), row.names = c("996", "405", "70",      "488", "142", "470", "434", "979", "240", "349", "537", "73",      "32", "688", "283", "76", "969", "754", "57", "363"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.999795982767099, 0.566083103541964, 0.476672308115618,      0.466541023724261, 0.433533215304688, 0.424980748587876,      0.422564080420592, 0.358717498438215, 0.334900763764973,      0.286922623006827, 0.258449332941781, 0.240218944537697,      0.206585100411331, 0.102216252582982, 0.0970190630093706,      0.0389089155135058, 0.0120652765611525, 0.000316595185098888,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1712222905 
R squared (OOB):                  -0.4098343 

$Forests[[997]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(545000, 708000, 705000,      580000, 678000, 380000, 451000, 290000, 660000, 620000, 488000,      385000, 560000, 465000, 685000, 710000, 740000, 520000, 515000,      518000), floor_area_sqm = c(101, 90, 90, 90, 92, 89, 83,      87, 105, 103, 104, 93, 105, 91, 102, 101, 95, 101, 84, 93     ), storey_order = c(1L, 5L, 7L, 5L, 3L, 5L, 8L, 1L, 6L, 4L,      1L, 1L, 2L, 2L, 4L, 2L, 4L, 1L, 4L, 4L), remaining_lease_mths = c(938,      1031, 1041, 1035, 1103, 653, 604, 643, 748, 742, 776, 772,      913, 764, 929, 933, 954, 929, 804, 736), PROX_CBD = c(3.59494173601466,      3.56091441303422, 3.66612298934168, 3.73787601157873, 3.93031212371417,      4.19301197437796, 3.63056019358172, 4.35364804731157, 3.5952466633456,      3.79744534670369, 4.16405648472164, 4.25035751849909, 3.91005014077452,      4.28329341592686, 4.15915934561343, 4.27954241101507, 4.09909964212454,      4.23995407977096, 3.75781957676323, 4.29040868967057), PROX_ELDERLYCARE = c(0.692364880740494,      0.885388735780595, 0.851600940224316, 0.836612932336762,      0.159701117649001, 1.05465194719342, 0.124703716495981, 0.402111762367986,      0.354500614782039, 0.296175206272889, 0.434539750657667,      0.411587417191489, 0.449207181019876, 0.4193003334471, 1.31127122179184,      1.2084977158608, 1.44919747885979, 1.29004325258708, 0.582389211118023,      1.28169673214061), PROX_HAWKER = c(0.142789347249218, 0.210501859943959,      0.157376553669701, 0.15676751515481, 0.374782156946409, 0.297392426102438,      0.0619655343942362, 0.52502919100195, 0.311385334077859,      0.300770398866256, 0.502732414569621, 0.610932712322496,      0.464701711390969, 0.638679046714181, 0.296724849746491,      0.32780610994166, 0.17841116959893, 0.242979724501726, 0.393163811818296,      0.224814451985556), PROX_MRT = c(0.346622733589529, 0.1853881461208,      0.281331556481731, 0.349678715281184, 0.57487373386568, 0.670866804568908,      0.188513622979597, 0.698417082344063, 0.16267041353008, 0.195276091150508,      0.518003091395578, 0.605174310138743, 0.361698258812245,      0.637237645879563, 0.361454140857751, 0.45128979061194, 0.212082976996148,      0.369514902074349, 0.434583879195091, 0.386818680985449),          PROX_PARK = c(1.03638785093261, 0.969171323132551, 1.07330463343821,          1.14436990313984, 0.43227753152338, 1.34668044149268,          0.634729277660292, 0.0959047492621704, 0.796125682214674,          0.620239922284967, 0.269719137898212, 0.346786980248178,          0.651892034671684, 0.336599362476296, 0.424082148410156,          0.496161896442625, 0.271559050503854, 0.410157320226128,          0.885911587583127, 0.41256712340984), PROX_GOOD_PRISCH = c(4.68517728936996,          4.51522724145722, 4.46068770698473, 4.42346384619917,          4.55218800106713, 4.04417128338034, 4.47678155678584,          4.11088283479722, 4.26949140427292, 4.13618512399158,          3.99853475328204, 3.87277035706644, 3.96984616110429,          3.85984302070176, 3.27316539077024, 3.1984009939005,          3.22696055518642, 3.17375518133788, 3.98479480133756,          3.11124078456354), PROX_MALL = c(0.814872047472938, 0.87678025015548,          0.971442928620489, 1.03774509228272, 1.09934779211931,          1.51326780463499, 0.917363569028491, 0.801857467962545,          0.962766222186716, 1.16769889708728, 1.00998414702412,          0.955673327573223, 1.2652175398851, 0.92062293894618,          1.03381347643634, 1.15459749844864, 0.944512912155433,          1.09860538958518, 1.1081035152608, 1.14104925826379),          PROX_CHAS = c(0.0573592222158038, 0.0998361253719761,          0.108213750221125, 0.0809467071188201, 0.304936065418075,          0.212246176955017, 0.112941217538546, 0.130252709580884,          0.0963682910788478, 0.121619853002556, 0.147909276913635,          0.260827480873255, 0.108899254787234, 0.285886541141976,          0.22718451096924, 0.151798893835737, 0.199996678091121,          0.128246501394164, 0.345906079563203, 0.0683025043642396         ), PROX_SUPERMARKET = c(0.0573596645426592, 0.103744685928207,          0.131005301990959, 0.184584314799668, 0.35411008396507,          0.306178228663922, 0.0867224629960944, 0.591301773724787,          0.269187390315468, 0.191561540751545, 0.506391752127701,          0.512280309006142, 0.115229795891962, 0.506434284786685,          0.31622643534726, 0.314587216673928, 0.232527384837024,          0.23908756643158, 0.128350069204848, 0.200251285306447         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 1L, 1L, 0L,          0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 3L, 5L, 4L, 2L, 3L         ), WITHIN_350M_CHILDCARE = c(3L, 3L, 3L, 3L, 3L, 1L,          5L, 4L, 4L, 4L, 6L, 5L, 4L, 4L, 10L, 2L, 9L, 4L, 4L,          2L), WITHIN_350M_BUS = c(4L, 9L, 7L, 7L, 5L, 5L, 4L,          6L, 6L, 5L, 5L, 5L, 5L, 5L, 4L, 2L, 8L, 4L, 3L, 4L),          WITHIN_1KM_PRISCH = c(0L, 0L, 0L, 0L, 1L, 1L, 2L, 2L,          2L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 1L, 2L, 2L, 2L), DNeighbour = c(0,          203.219858604164, 223.424655065753, 258.561345302235,          729.065090746023, 737.312845200048, 936.707198873427,          1206.60931395253, 1266.61014091324, 1286.66219185369,          1290.98521035072, 1424.35581545272, 1432.86759625337,          1434.01814047286, 1442.95918702477, 1496.49096674971,          1525.84148578865, 1529.31229182286, 1561.08366121649,          1595.53945923985)), row.names = c("997", "881", "903",      "823", "801", "993", "237", "532", "699", "952", "223", "19",      "176", "747", "763", "767", "784", "145", "234", "286"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.967818212978171, 0.961167252351184, 0.948167541269065,      0.626007318851024, 0.618512167255969, 0.429468712155648,      0.183271693817568, 0.136760170356521, 0.1222898525756, 0.119247607910871,      0.0412361491025994, 0.0374475304625753, 0.0369477447629077,      0.0331653563798505, 0.0144728166689172, 0.0073030395777931,      0.00660847118673183, 0.00182532371167732, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       12775841436 
R squared (OOB):                  0.2144471 

$Forests[[998]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(548000, 420000, 430000,      588000, 516000, 345000, 375000, 440000, 450000, 435000, 638000,      630000, 439000, 670000, 448000, 5e+05, 485000, 565000, 335000,      648000), floor_area_sqm = c(95, 91, 93, 95, 98, 92, 92, 92,      92, 98, 102, 102, 97, 94, 105, 105, 103, 103, 91, 116), storey_order = c(2L,      1L, 3L, 3L, 3L, 1L, 2L, 3L, 1L, 1L, 9L, 6L, 3L, 6L, 1L, 2L,      2L, 4L, 3L, 4L), remaining_lease_mths = c(981, 742, 728,      1025, 698, 695, 695, 677, 679, 692, 869, 870, 669, 1104,      866, 857, 855, 852, 754, 871), PROX_CBD = c(8.37940280964872,      8.31995738049774, 8.20083785223568, 8.51090417959469, 8.70928269501252,      8.46158045860266, 8.4016901584654, 8.7589377611275, 8.7589377611275,      8.85689554561162, 7.86314261154951, 7.86314261154951, 8.73211086874077,      8.58683984966127, 8.05276498978228, 8.19182633034048, 7.70120549943486,      8.19182633034048, 8.32334928378694, 8.27332873959955), PROX_ELDERLYCARE = c(0.335901694998922,      0.259768432786295, 0.41240614163537, 0.120425912751251, 0.119444653145476,      0.0854535518544851, 0.150390524199432, 0.169235371196244,      0.169235371196244, 0.272187629818594, 0.731462959428347,      0.731462959428347, 0.292319821872094, 0.203840329735754,      0.599632276485302, 0.444818640633349, 0.883817181840043,      0.444818640633349, 0.163895949541214, 0.354571010374291),          PROX_HAWKER = c(0.203869560106314, 0.387410687724852,          0.35604829505958, 0.166697492306482, 0.281172749103646,          0.266645682444034, 0.205000896629144, 0.330091511745513,          0.330091511745513, 0.446318851105742, 0.573870222021737,          0.573870222021737, 0.436547444862961, 0.433030813326955,          0.560005371648267, 0.553760551741158, 0.72907919143595,          0.553760551741158, 0.1672780527947, 0.610975272844239         ), PROX_MRT = c(0.62312262100292, 0.705543842504761,          0.805467939952349, 0.608243230971526, 0.379410256905797,          0.681495718287031, 0.747297636603152, 0.338391484905848,          0.338391484905848, 0.372678744867538, 0.85984195598231,          0.85984195598231, 0.600073719023998, 0.751078096441513,          1.12051759514643, 1.08457427678223, 0.692418360175919,          1.08457427678223, 1.03738004469153, 1.0936063211659),          PROX_PARK = c(0.394842599629624, 0.517920409018535, 0.393072899865764,          0.368529270986479, 0.513364518506117, 0.773425606080498,          0.784786352249359, 0.469340752260783, 0.469340752260783,          0.479885299937475, 0.281207712521794, 0.281207712521794,          0.617507126900098, 0.52118662053352, 0.30128672956265,          0.374102285306053, 0.450335295656325, 0.374102285306053,          0.839050716088865, 0.477465658778908), PROX_GOOD_PRISCH = c(1.14854892992093,          1.20021801549651, 1.04754826657838, 1.13331232297991,          1.35677240305411, 1.4534383809239, 1.42922442943649,          1.40615721612308, 1.40615721612308, 1.47413984574199,          0.562813849840511, 0.562813849840511, 1.31940815963163,          1.16640042723588, 0.631981624625733, 0.769163347741007,          0.490611064856358, 0.769163347741007, 1.6197212814627,          0.856939381531897), PROX_MALL = c(0.651389947232486,          0.768764019555169, 0.844084234929545, 0.540250505232014,          0.313890580083005, 0.793630348518112, 0.856591768216477,          0.264395031718586, 0.264395031718586, 0.241772845363545,          0.943364056194349, 0.943364056194349, 0.469553394647833,          0.632538285087724, 1.07178760783233, 0.997182626507123,          0.779066462317335, 0.997182626507123, 0.952850965311535,          0.991200103712322), PROX_CHAS = c(0.11938167830482, 0.1066489590073,          0.0460460495231756, 0.0869956868442428, 0.112175615725657,          0.161491876005888, 0.14998683096932, 0.0806835690144568,          0.0806835690144568, 0.157458356405151, 0.201852081003395,          0.201852081003395, 0.0664211666443358, 0.237191200694799,          0.167974733321899, 0.311461966699573, 0.0405139203460024,          0.311461966699573, 0.218034921212892, 0.413431749899638         ), PROX_SUPERMARKET = c(0.282093113359979, 0.284909088626731,          0.436961702644775, 0.0869967242830128, 0.221335227738319,          0.128302570008396, 0.194600933367586, 0.24726445439454,          0.24726445439454, 0.224853982916395, 0.115543350477338,          0.115543350477338, 0.350370254212894, 0.35437102597818,          0.372458117254617, 0.485938543293979, 0.0588346413192393,          0.485938543293979, 0.502751024921131, 0.502190497784501         ), WITHIN_350M_KINDERGARTEN = c(1L, 1L, 1L, 2L, 2L, 0L,          0L, 2L, 2L, 2L, 4L, 4L, 1L, 1L, 3L, 0L, 4L, 0L, 1L, 0L         ), WITHIN_350M_CHILDCARE = c(4L, 3L, 2L, 6L, 7L, 3L,          3L, 8L, 8L, 7L, 3L, 3L, 6L, 5L, 3L, 2L, 4L, 2L, 1L, 4L         ), WITHIN_350M_BUS = c(6L, 7L, 7L, 5L, 6L, 7L, 7L, 6L,          6L, 7L, 2L, 2L, 7L, 4L, 5L, 7L, 4L, 7L, 4L, 8L), WITHIN_1KM_PRISCH = c(3L,          2L, 2L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 1L,          2L, 2L, 2L, 3L, 2L), DNeighbour = c(0, 187.144086370652,          196.9425363703, 368.173882906366, 400.35025658408, 413.330293861843,          436.652531826358, 442.626365465201, 446.742475256302,          580.059939615391, 580.250162910246, 587.833408362053,          624.481450543497, 629.857271161451, 680.418522033818,          708.774084124433, 714.009759287154, 714.471686104337,          766.875112491152, 783.0158931421)), row.names = c("998",      "716", "79", "94", "446", "676", "682", "386", "194", "397",      "931", "476", "842", "149", "635", "674", "811", "128", "713",      "795"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.889017023635532,      0.877479450223333, 0.606704197001822, 0.54550018726045, 0.520351124737628,      0.474750186824487, 0.463017626897464, 0.45492765739242, 0.203592285608871,      0.203267546951857, 0.190449048187859, 0.132452487561273,      0.124568129850755, 0.0599703640128847, 0.032630982660346,      0.0283890963282033, 0.0280275839619624, 0.00166482687674332,      0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       5965812199 
R squared (OOB):                  0.4216099 

$Forests[[999]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(753000, 685000, 680000,      748000, 620000, 680000, 945500, 912000, 8e+05, 7e+05, 476000,      475000, 537000, 5e+05, 375000, 510000, 355000, 407000, 438888,      830000), floor_area_sqm = c(87, 93, 91, 107, 103, 85, 87,      87, 90, 93, 103, 103, 106, 103, 82, 93, 82, 82, 80, 94),          storey_order = c(5L, 4L, 3L, 2L, 2L, 2L, 8L, 3L, 7L,          1L, 2L, 2L, 4L, 1L, 3L, 4L, 2L, 5L, 4L, 9L), remaining_lease_mths = c(1104,          1115, 984, 899, 911, 1066, 1143, 1142, 1063, 625, 774,          781, 760, 773, 645, 746, 656, 661, 601, 1088), PROX_CBD = c(2.5775653440094,          2.56060478168524, 2.86455481676114, 2.52364731081334,          2.86182045335715, 2.96405104980333, 2.51922626320824,          2.51922626320824, 2.97610984462207, 2.09358084499411,          3.09516181063763, 3.09516181063763, 3.12641734116327,          3.24578829573265, 3.68559345068932, 3.46549777590634,          3.73116287154914, 3.63085360417079, 3.37234644442932,          1.64296215322618), PROX_ELDERLYCARE = c(0.283170941801308,          0.303984777605612, 0.111411798512938, 0.132133546591398,          0.334062202372697, 0.206690358794928, 1.25853619714168e-06,          1.25853619714168e-06, 0.249991250520312, 0.442569764285143,          0.614909460801077, 0.614909460801077, 0.570344367187993,          0.461566734593474, 0.466665237090727, 0.22080460703487,          0.501456868829436, 0.233260955843543, 0.401810150563083,          0.294850727643248), PROX_HAWKER = c(0.447120961378381,          0.450094806637729, 0.302651224916382, 0.315417458803045,          0.231089093207534, 0.344572110572533, 0.187177165934232,          0.187177165934232, 0.405863058813757, 0.103399879312882,          0.524942013349153, 0.524942013349153, 0.582032517556358,          0.461305554076076, 0.28293755865871, 0.288924403117312,          0.311969910328466, 0.0974836441417274, 0.449139985411189,          0.280083683397779), PROX_MRT = c(0.499107329029013, 0.546591463865751,          0.391395986196982, 0.277076743329557, 0.819080841065402,          0.377919714857806, 0.243725266054354, 0.243725266054354,          0.337225216160626, 0.681532284353367, 1.19880844528061,          1.19880844528061, 1.19588154804183, 1.11057161001852,          1.17490863944549, 0.855873415641472, 1.10221151459309,          0.897060452829867, 0.537190991659238, 0.262926729358016         ), PROX_PARK = c(0.18481391877062, 0.21329655328302,          0.399002951856213, 0.163253442595557, 0.609617368578913,          0.495024008458079, 0.28862748451296, 0.28862748451296,          0.4671588721782, 0.400473707610266, 0.971409228458194,          0.971409228458194, 0.971029675538415, 0.856773721705297,          0.304435062988112, 0.78484111030831, 0.271761978726623,          0.512523364266062, 0.408351250353425, 0.366095429090919         ), PROX_GOOD_PRISCH = c(4.89009258041755, 4.93746215949662,          4.71207116352008, 4.61812725480087, 5.1514664212482,          4.62297298452196, 4.50145006484821, 4.50145006484821,          4.56048774292729, 4.81109980295855, 5.46565510857314,          5.46565510857314, 5.52416256345089, 5.51078547454581,          5.15997579188296, 5.67094725420518, 5.22570836776045,          5.4842432173218, 3.70512913004722, 6.02306971378175),          PROX_MALL = c(0.524781909718914, 0.572150632107275, 0.420489734799516,          0.290995843291254, 0.848351644608041, 0.404565296260845,          0.244046547559164, 0.244046547559164, 0.362094853274792,          0.685370188976197, 1.2281628510896, 1.2281628510896,          1.29251563056945, 1.33172083977874, 1.3376464242075,          1.56665946009711, 1.41171259857663, 1.51733094855201,          0.743612757274357, 0.44820920236387), PROX_CHAS = c(0.0301364724824846,          0.0640474788759872, 0.110042750971165, 0.0122221533760307,          0.159666076311523, 0.0506108453744785, 0.0462846720247782,          0.0462846720247782, 0.111500209373212, 0.165994533154508,          0.240903750709302, 0.240903750709302, 0.202999736112437,          0.0869328465249217, 0.216565147674259, 0.173647795570322,          0.261237260735983, 0.318203164684035, 0.499618186459994,          0.0951865321113252), PROX_SUPERMARKET = c(0.275738565320567,          0.315915165677582, 0.110042446678578, 0.0373112013983995,          0.360029455717415, 0.0506107476035619, 0.169442491353445,          0.169442491353445, 0.111500172768761, 0.346795592234613,          0.240902416159861, 0.240902416159861, 0.202998478162502,          0.0869315055470345, 0.252487697752149, 0.173649067116538,          0.301923436189205, 0.318204198369299, 0.499617451823641,          0.28799517805095), WITHIN_350M_KINDERGARTEN = c(1L, 1L,          0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L,          1L, 0L, 0L, 1L), WITHIN_350M_CHILDCARE = c(4L, 4L, 4L,          6L, 3L, 3L, 4L, 4L, 3L, 4L, 2L, 2L, 2L, 2L, 3L, 1L, 3L,          1L, 2L, 6L), WITHIN_350M_BUS = c(3L, 3L, 7L, 6L, 4L,          7L, 4L, 4L, 4L, 7L, 4L, 4L, 5L, 6L, 10L, 9L, 9L, 11L,          8L, 9L), WITHIN_1KM_PRISCH = c(2L, 3L, 4L, 2L, 3L, 4L,          2L, 2L, 3L, 1L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 1L         ), DNeighbour = c(0, 49.8313683525313, 307.26201612447,          314.877369153589, 423.219385828577, 424.913162683169,          441.149017417696, 446.697561768967, 456.4172169626, 559.4919636657,          810.80794475012, 816.017432586553, 871.667347118588,          942.572390295788, 1165.59180609328, 1201.84411454781,          1230.87738774183, 1234.59173176275, 1237.513752725, 1386.84929629491         )), row.names = c("999", "390", "968", "65", "561", "389",      "816", "550", "319", "824", "126", "134", "48", "192", "683",      "454", "432", "742", "69", "850"), class = "data.frame"),      num.trees = 500, mtry = 4, importance = "impurity", case.weights = c(1,      0.997419542923091, 0.904237098401447, 0.899558373886034,      0.82241982378137, 0.821065697131133, 0.807870098152593, 0.803272405037992,      0.795112416979616, 0.700982437249205, 0.433221654033754,      0.42744060896821, 0.365974464912198, 0.289525369304715, 0.0862164904879818,      0.0620028910004401, 0.0450634347802304, 0.0430646438524307,      0.0415199785784161, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       11409621566 
R squared (OOB):                  0.6405795 

$Forests[[1000]]
Ranger result

Call:
 ranger(resale_price ~ floor_area_sqm + storey_order + remaining_lease_mths +      PROX_CBD + PROX_ELDERLYCARE + PROX_HAWKER + PROX_MRT + PROX_PARK +      PROX_MALL + PROX_SUPERMARKET + WITHIN_350M_KINDERGARTEN +      WITHIN_350M_CHILDCARE + WITHIN_350M_BUS + WITHIN_1KM_PRISCH,      data = structure(list(resale_price = c(358888, 304000, 316000,      420000, 345000, 335000, 365000, 390000, 340000, 415000, 360000,      446000, 370000, 420000, 365000, 342000, 4e+05, 428000, 365000,      308000), floor_area_sqm = c(91, 104, 104, 99, 92, 90, 107,      104, 104, 100, 103, 107, 104, 90, 95, 94, 97, 98, 105, 84     ), storey_order = c(3L, 2L, 1L, 3L, 2L, 1L, 1L, 1L, 1L, 1L,      1L, 3L, 2L, 2L, 1L, 1L, 1L, 3L, 2L, 1L), remaining_lease_mths = c(763,      776, 777, 929, 742, 731, 766, 763, 772, 944, 777, 783, 763,      925, 735, 747, 734, 730, 771, 795), PROX_CBD = c(13.6826822978472,      13.8730731524118, 13.8730731524118, 13.2222340992065, 13.8901285505698,      13.8901285505698, 13.578535689825, 13.1145091682395, 13.1145091682395,      13.1525533734461, 13.7231688188033, 13.1163383572019, 13.075732494377,      12.960867808991, 13.3652677077184, 13.7770670669378, 13.4040436118709,      14.0949321583848, 14.8222691165004, 13.3304860768802), PROX_ELDERLYCARE = c(0.000158780971194199,      0.192118066579221, 0.192118066579221, 0.385934705647939,      0.540311266279695, 0.540311266279695, 0.535215785060316,      0.233566729538939, 0.233566729538939, 0.640770029240432,      0.681177733621966, 0.258125844069092, 0.206309775801723,      0.579007844644764, 0.876024529291782, 0.919307603677702,      0.954835536666776, 1.07365166923746, 0.151522520392741, 0.85382998667073     ), PROX_HAWKER = c(0.699744847940348, 0.635045114374877,      0.635045114374877, 1.08380419022874, 0.213123049695643, 0.213123049695643,      0.775756145922257, 1.24018164124527, 1.24018164124527, 0.959649545299011,      0.601426993813282, 1.23349193679857, 1.2806114078583, 1.16344345150942,      0.775887609068758, 0.478671478091809, 0.780321580506598,      0.516176882783883, 0.189112683951821, 1.09459947163448),          PROX_MRT = c(0.751023886560838, 0.865482366580506, 0.865482366580506,          0.503688459146237, 0.793013171832836, 0.793013171832836,          0.357978123578611, 0.402767024758649, 0.402767024758649,          0.944408516927639, 0.498221170198522, 0.166998983475289,          0.218393806785847, 0.899387073359532, 0.585785046275015,          0.771349314593772, 0.515309591544804, 0.499812381699912,          0.506610369321483, 0.525688124362732), PROX_PARK = c(1.77145949687945,          1.73324375775577, 1.73324375775577, 1.61082819122054,          1.23128896715218, 1.23128896715218, 1.33984402369384,          1.4917670023494, 1.4917670023494, 1.65277848527316, 1.26781451063295,          1.28385310080255, 1.31516124688894, 1.44660566239193,          1.30724345285799, 0.941140572803456, 1.22140134317452,          0.62523741493865, 1.20591145519053, 0.620743454357064         ), PROX_GOOD_PRISCH = c(3.58938982364218, 3.76914808697313,          3.76914808697313, 3.2388029474634, 3.56420611596829,          3.56420611596829, 3.55013641033528, 3.15473759747012,          3.15473759747012, 2.95137840528657, 3.673854441535, 3.10133739012884,          3.06740437701091, 2.82458087567675, 2.95461231779958,          3.3146343023011, 2.95770979509606, 3.57828936266804,          4.44405903659268, 3.24954726475941), PROX_MALL = c(0.770100764029299,          0.861712986146148, 0.861712986146148, 0.587950861513872,          1.05377974643614, 1.05377974643614, 0.305514521023982,          0.504156272689578, 0.504156272689578, 0.703422933264244,          0.406890039239853, 0.281310431650798, 0.332903613799786,          0.695129776671669, 0.473263954532778, 0.672803550263317,          0.412160376682232, 0.812049880186, 1.74752862756084,          0.513372166694422), PROX_CHAS = c(0.110149755252424,          0.0967538959757692, 0.0967538959757692, 0.151225190585885,          0.0812638133573676, 0.0812638133573676, 0.282171570268124,          0.11048408202451, 0.11048408202451, 0.1365287941905,          0.176857487498571, 0.155371621529032, 0.122328851042638,          0.341366062526918, 0.179342279988699, 0.0886717393158711,          0.240863562772424, 0.135156069731972, 0.191193294854487,          0.472814153962233), PROX_SUPERMARKET = c(0.11210687568128,          0.094684564379848, 0.094684564379848, 0.459946280432931,          0.082811926566736, 0.082811926566736, 0.281417393052806,          0.362446168440829, 0.362446168440829, 0.688592108834651,          0.270532795629183, 0.141466460051892, 0.193246634773484,          0.668273194253219, 0.487840963146543, 0.334979160094168,          0.422907964790702, 0.352618767904154, 0.188017328828043,          0.510727353781082), WITHIN_350M_KINDERGARTEN = c(2L,          2L, 2L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L,          1L, 1L, 0L, 1L, 1L), WITHIN_350M_CHILDCARE = c(3L, 3L,          3L, 5L, 4L, 4L, 4L, 6L, 6L, 2L, 4L, 4L, 4L, 1L, 6L, 3L,          5L, 1L, 2L, 4L), WITHIN_350M_BUS = c(9L, 8L, 8L, 8L,          4L, 4L, 10L, 7L, 7L, 6L, 8L, 9L, 10L, 2L, 6L, 10L, 6L,          9L, 6L, 5L), WITHIN_1KM_PRISCH = c(2L, 2L, 2L, 4L, 4L,          4L, 4L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L,          3L), DNeighbour = c(0, 192.49067455208, 196.055267134639,          473.971879492483, 529.582414480598, 531.087334550934,          536.48945477292, 603.539417092514, 609.181845094484,          641.963927525353, 683.896991419595, 739.447430107965,          754.446125154785, 775.515739931945, 875.538095955521,          913.423771774334, 953.597924163204, 1146.61186159735,          1243.77729762542, 1254.26396348395)), row.names = c("1000",      "36", "230", "350", "214", "90", "856", "164", "844", "496",      "960", "105", "929", "831", "238", "337", "757", "25", "64",      "61"), class = "data.frame"), num.trees = 500, mtry = 4,      importance = "impurity", case.weights = c(1, 0.953449245032126,      0.951730714142174, 0.73479237258726, 0.675232801210769, 0.673566305204114,      0.667562389087597, 0.590524740884856, 0.583858709734092,      0.544695580653483, 0.493779027711458, 0.425670716721193,      0.407288592897964, 0.381554327337247, 0.262889139504419,      0.220566353857487, 0.178056068612247, 0.0269916010507376,      0.000277279841190087, 0), num.threads = NULL) 

Type:                             Regression 
Number of trees:                  500 
Sample size:                      20 
Number of independent variables:  14 
Mtry:                             4 
Target node size:                 5 
Variable importance mode:         impurity 
Splitrule:                        variance 
OOB prediction error (MSE):       1350840749 
R squared (OOB):                  0.2081079 


$LocalModelSummary
$LocalModelSummary$l.VariableImportance
                               Min          Max        Mean         StD
floor_area_sqm                   0  93554808148  6579446660 12070756152
storey_order              40825679 175066741478  6798143080 17439613620
remaining_lease_mths     147176404 132323223994 17003264291 27856556164
PROX_CBD                  98672979  86998930774  7795275977 12420258631
PROX_ELDERLYCARE         136038143  60602086147  6363805690  9972185105
PROX_HAWKER               89375590  76470252974  5959960036 10069973920
PROX_MRT                 141134469 116981909991  7311127365 14402287905
PROX_PARK                173527329  91563243055  6282954230 12004019497
PROX_MALL                136045951 111744007681  8082912771 14856365039
PROX_SUPERMARKET         117381309  67560243432  5118831575  8420630833
WITHIN_350M_KINDERGARTEN         0  43638703821  1704409355  3939462279
WITHIN_350M_CHILDCARE     24644933 114970847915  4291790153 10498357427
WITHIN_350M_BUS           45643896  81035956654  3244648284  6333435620
WITHIN_1KM_PRISCH                0  29773426249  1919719438  3594705849

$LocalModelSummary$l.MSE.OOB
[1] 2776322475

$LocalModelSummary$l.r.OOB
[1] 0.8066

$LocalModelSummary$l.MSE.Pred
[1] 56975708

$LocalModelSummary$l.r.Pred
[1] 0.996031
test_data_nogeom <- cbind(
  test_data, coords_test) %>%
  st_drop_geometry()
grf_pred = predict.grf(grf_ad, test_data_nogeom,
                       x.var.name = "X",
                       y.var.name = "Y",
                       local.w = 1,
                       global.w = 0)
grf_pred_df = as.data.frame(grf_pred)

Model Comparison

test_data_pred <- test_data %>%
  select(resale_price) %>%
  cbind(gwr_pred_df) %>%
  cbind(rf_pred_df) %>%
  cbind(grf_pred_df)

model Comparison Plots

test_longer <- test_data_pred%>%
  st_drop_geometry()%>%
  pivot_longer(cols = ends_with("pred"),
               names_to = "model",
               values_to = "predcted")
model_labels <- c(
  gwr_pred = "gwr",
  rf_pred = "Random Forest",
  grf_pred = "gwRF")

test_longer <- test_longer %>%
  mutate(model = recode(
    model, !!!model_labels))

Variable Importance

var_imp <- data.frame(
  Variable = names(grf_ad$Global.Model$variable.importance),
  Importance = grf_ad$Global.Model$variable.importance
)
ggplot(var_imp, aes(x = reorder(Variable, 
                                Importance), 
                    y = Importance)) +
  geom_bar(stat = "identity", 
           fill = "skyblue") +
  coord_flip() +
  labs(
    title = "Variable Importance from Ranger Model",
    x = "Variables",
    y = "Importance"
  ) +
  theme_minimal()